diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,297152 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.9999941101981918, + "eval_steps": 500, + "global_step": 42446, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "grad_norm": 0.8460450258712872, + "learning_rate": 1.569858712715856e-08, + "loss": 0.7462, + "step": 1 + }, + { + "epoch": 0.0, + "grad_norm": 2.7206315324613786, + "learning_rate": 3.139717425431712e-08, + "loss": 1.0016, + "step": 2 + }, + { + "epoch": 0.0, + "grad_norm": 2.5907194231701847, + "learning_rate": 4.709576138147567e-08, + "loss": 0.9054, + "step": 3 + }, + { + "epoch": 0.0, + "grad_norm": 2.541331082403491, + "learning_rate": 6.279434850863424e-08, + "loss": 1.1022, + "step": 4 + }, + { + "epoch": 0.0, + "grad_norm": 4.718668193001434, + "learning_rate": 7.849293563579278e-08, + "loss": 0.9501, + "step": 5 + }, + { + "epoch": 0.0, + "grad_norm": 3.3587551795455832, + "learning_rate": 9.419152276295134e-08, + "loss": 1.0958, + "step": 6 + }, + { + "epoch": 0.0, + "grad_norm": 4.1976386712588525, + "learning_rate": 1.098901098901099e-07, + "loss": 0.8728, + "step": 7 + }, + { + "epoch": 0.0, + "grad_norm": 4.029345675046727, + "learning_rate": 1.2558869701726847e-07, + "loss": 0.9346, + "step": 8 + }, + { + "epoch": 0.0, + "grad_norm": 2.7479437013628525, + "learning_rate": 1.4128728414442702e-07, + "loss": 0.9687, + "step": 9 + }, + { + "epoch": 0.0, + "grad_norm": 2.087996495219446, + "learning_rate": 1.5698587127158556e-07, + "loss": 1.0847, + "step": 10 + }, + { + "epoch": 0.0, + "grad_norm": 2.6271521995407747, + "learning_rate": 1.726844583987441e-07, + "loss": 1.0091, + "step": 11 + }, + { + "epoch": 0.0, + "grad_norm": 3.555699396272173, + "learning_rate": 1.8838304552590267e-07, + "loss": 1.0548, + "step": 12 + }, + { + "epoch": 0.0, + "grad_norm": 3.286935746581951, + "learning_rate": 2.0408163265306121e-07, + "loss": 0.9347, + "step": 13 + }, + { + "epoch": 0.0, + "grad_norm": 2.4497662275346257, + "learning_rate": 2.197802197802198e-07, + "loss": 0.993, + "step": 14 + }, + { + "epoch": 0.0, + "grad_norm": 2.4855440534570863, + "learning_rate": 2.3547880690737838e-07, + "loss": 0.9765, + "step": 15 + }, + { + "epoch": 0.0, + "grad_norm": 2.2289745808852293, + "learning_rate": 2.5117739403453695e-07, + "loss": 0.9495, + "step": 16 + }, + { + "epoch": 0.0, + "grad_norm": 3.8126900605507084, + "learning_rate": 2.6687598116169546e-07, + "loss": 0.9735, + "step": 17 + }, + { + "epoch": 0.0, + "grad_norm": 2.8745560687184897, + "learning_rate": 2.8257456828885403e-07, + "loss": 1.0236, + "step": 18 + }, + { + "epoch": 0.0, + "grad_norm": 0.7569851455966737, + "learning_rate": 2.982731554160126e-07, + "loss": 0.7269, + "step": 19 + }, + { + "epoch": 0.0, + "grad_norm": 2.053087902636629, + "learning_rate": 3.139717425431711e-07, + "loss": 0.9729, + "step": 20 + }, + { + "epoch": 0.0, + "grad_norm": 2.702960319581147, + "learning_rate": 3.296703296703297e-07, + "loss": 0.8906, + "step": 21 + }, + { + "epoch": 0.0, + "grad_norm": 3.430907403431023, + "learning_rate": 3.453689167974882e-07, + "loss": 1.0532, + "step": 22 + }, + { + "epoch": 0.0, + "grad_norm": 2.759494237825174, + "learning_rate": 3.610675039246468e-07, + "loss": 1.0936, + "step": 23 + }, + { + "epoch": 0.0, + "grad_norm": 3.6146025905493517, + "learning_rate": 3.7676609105180534e-07, + "loss": 0.9863, + "step": 24 + }, + { + "epoch": 0.0, + "grad_norm": 3.148262685372617, + "learning_rate": 3.924646781789639e-07, + "loss": 1.161, + "step": 25 + }, + { + "epoch": 0.0, + "grad_norm": 2.246788262975213, + "learning_rate": 4.0816326530612243e-07, + "loss": 1.0982, + "step": 26 + }, + { + "epoch": 0.0, + "grad_norm": 2.653684425476009, + "learning_rate": 4.2386185243328105e-07, + "loss": 0.888, + "step": 27 + }, + { + "epoch": 0.0, + "grad_norm": 3.8934230930506697, + "learning_rate": 4.395604395604396e-07, + "loss": 0.9424, + "step": 28 + }, + { + "epoch": 0.0, + "grad_norm": 3.972844157140064, + "learning_rate": 4.5525902668759813e-07, + "loss": 1.0147, + "step": 29 + }, + { + "epoch": 0.0, + "grad_norm": 2.155966209171864, + "learning_rate": 4.7095761381475676e-07, + "loss": 0.9899, + "step": 30 + }, + { + "epoch": 0.0, + "grad_norm": 2.1733700890065992, + "learning_rate": 4.866562009419152e-07, + "loss": 1.1162, + "step": 31 + }, + { + "epoch": 0.0, + "grad_norm": 2.2931948564844338, + "learning_rate": 5.023547880690739e-07, + "loss": 0.9439, + "step": 32 + }, + { + "epoch": 0.0, + "grad_norm": 2.477577194518864, + "learning_rate": 5.180533751962324e-07, + "loss": 1.117, + "step": 33 + }, + { + "epoch": 0.0, + "grad_norm": 2.035736590965567, + "learning_rate": 5.337519623233909e-07, + "loss": 0.9963, + "step": 34 + }, + { + "epoch": 0.0, + "grad_norm": 3.0507900431606405, + "learning_rate": 5.494505494505495e-07, + "loss": 0.9973, + "step": 35 + }, + { + "epoch": 0.0, + "grad_norm": 2.079686883445612, + "learning_rate": 5.651491365777081e-07, + "loss": 0.9219, + "step": 36 + }, + { + "epoch": 0.0, + "grad_norm": 1.8294794435498594, + "learning_rate": 5.808477237048666e-07, + "loss": 0.9901, + "step": 37 + }, + { + "epoch": 0.0, + "grad_norm": 2.7915001455978623, + "learning_rate": 5.965463108320252e-07, + "loss": 0.7264, + "step": 38 + }, + { + "epoch": 0.0, + "grad_norm": 3.2000074612297214, + "learning_rate": 6.122448979591837e-07, + "loss": 1.1214, + "step": 39 + }, + { + "epoch": 0.0, + "grad_norm": 0.7934605158582612, + "learning_rate": 6.279434850863422e-07, + "loss": 0.7103, + "step": 40 + }, + { + "epoch": 0.0, + "grad_norm": 0.7589719712326537, + "learning_rate": 6.436420722135009e-07, + "loss": 0.7456, + "step": 41 + }, + { + "epoch": 0.0, + "grad_norm": 2.4718912769576247, + "learning_rate": 6.593406593406594e-07, + "loss": 1.0092, + "step": 42 + }, + { + "epoch": 0.0, + "grad_norm": 2.0157824522258347, + "learning_rate": 6.750392464678179e-07, + "loss": 1.0511, + "step": 43 + }, + { + "epoch": 0.0, + "grad_norm": 2.7941235689101007, + "learning_rate": 6.907378335949764e-07, + "loss": 0.8714, + "step": 44 + }, + { + "epoch": 0.0, + "grad_norm": 1.8530071170115088, + "learning_rate": 7.064364207221351e-07, + "loss": 0.9359, + "step": 45 + }, + { + "epoch": 0.0, + "grad_norm": 3.200276151165166, + "learning_rate": 7.221350078492937e-07, + "loss": 0.9888, + "step": 46 + }, + { + "epoch": 0.0, + "grad_norm": 0.7394228125963971, + "learning_rate": 7.378335949764521e-07, + "loss": 0.7091, + "step": 47 + }, + { + "epoch": 0.0, + "grad_norm": 2.0631782893422637, + "learning_rate": 7.535321821036107e-07, + "loss": 1.015, + "step": 48 + }, + { + "epoch": 0.0, + "grad_norm": 1.840163268292435, + "learning_rate": 7.692307692307694e-07, + "loss": 0.9105, + "step": 49 + }, + { + "epoch": 0.0, + "grad_norm": 1.9239730616981694, + "learning_rate": 7.849293563579278e-07, + "loss": 1.0043, + "step": 50 + }, + { + "epoch": 0.0, + "grad_norm": 1.9063248435213376, + "learning_rate": 8.006279434850864e-07, + "loss": 0.9356, + "step": 51 + }, + { + "epoch": 0.0, + "grad_norm": 1.975841324744863, + "learning_rate": 8.163265306122449e-07, + "loss": 0.9368, + "step": 52 + }, + { + "epoch": 0.0, + "grad_norm": 1.991080124890634, + "learning_rate": 8.320251177394035e-07, + "loss": 1.1174, + "step": 53 + }, + { + "epoch": 0.0, + "grad_norm": 2.32648371720962, + "learning_rate": 8.477237048665621e-07, + "loss": 0.9855, + "step": 54 + }, + { + "epoch": 0.0, + "grad_norm": 1.9138841486938496, + "learning_rate": 8.634222919937206e-07, + "loss": 0.9902, + "step": 55 + }, + { + "epoch": 0.0, + "grad_norm": 1.7014612242023528, + "learning_rate": 8.791208791208792e-07, + "loss": 0.9094, + "step": 56 + }, + { + "epoch": 0.0, + "grad_norm": 2.2952413496889017, + "learning_rate": 8.948194662480378e-07, + "loss": 0.853, + "step": 57 + }, + { + "epoch": 0.0, + "grad_norm": 1.9543466273132275, + "learning_rate": 9.105180533751963e-07, + "loss": 0.9171, + "step": 58 + }, + { + "epoch": 0.0, + "grad_norm": 1.7587772239054165, + "learning_rate": 9.262166405023548e-07, + "loss": 0.8071, + "step": 59 + }, + { + "epoch": 0.0, + "grad_norm": 2.08404504957823, + "learning_rate": 9.419152276295135e-07, + "loss": 1.0576, + "step": 60 + }, + { + "epoch": 0.0, + "grad_norm": 1.9395298505067329, + "learning_rate": 9.57613814756672e-07, + "loss": 0.9717, + "step": 61 + }, + { + "epoch": 0.0, + "grad_norm": 1.883754912344211, + "learning_rate": 9.733124018838304e-07, + "loss": 0.9536, + "step": 62 + }, + { + "epoch": 0.0, + "grad_norm": 1.7898296484676324, + "learning_rate": 9.890109890109891e-07, + "loss": 1.0393, + "step": 63 + }, + { + "epoch": 0.0, + "grad_norm": 1.9611608592178549, + "learning_rate": 1.0047095761381478e-06, + "loss": 1.1481, + "step": 64 + }, + { + "epoch": 0.0, + "grad_norm": 1.6285926648646845, + "learning_rate": 1.0204081632653063e-06, + "loss": 0.9601, + "step": 65 + }, + { + "epoch": 0.0, + "grad_norm": 2.195871832495232, + "learning_rate": 1.0361067503924647e-06, + "loss": 1.0662, + "step": 66 + }, + { + "epoch": 0.0, + "grad_norm": 1.7278512398515504, + "learning_rate": 1.0518053375196232e-06, + "loss": 0.8972, + "step": 67 + }, + { + "epoch": 0.0, + "grad_norm": 1.7762503367951534, + "learning_rate": 1.0675039246467819e-06, + "loss": 0.837, + "step": 68 + }, + { + "epoch": 0.0, + "grad_norm": 1.705873223671486, + "learning_rate": 1.0832025117739405e-06, + "loss": 1.015, + "step": 69 + }, + { + "epoch": 0.0, + "grad_norm": 1.7915422632883975, + "learning_rate": 1.098901098901099e-06, + "loss": 0.9931, + "step": 70 + }, + { + "epoch": 0.0, + "grad_norm": 2.402673188935797, + "learning_rate": 1.1145996860282575e-06, + "loss": 1.0415, + "step": 71 + }, + { + "epoch": 0.0, + "grad_norm": 1.8141277220212206, + "learning_rate": 1.1302982731554161e-06, + "loss": 0.8986, + "step": 72 + }, + { + "epoch": 0.0, + "grad_norm": 0.7665111790855551, + "learning_rate": 1.1459968602825746e-06, + "loss": 0.6675, + "step": 73 + }, + { + "epoch": 0.0, + "grad_norm": 1.6754193729594724, + "learning_rate": 1.1616954474097333e-06, + "loss": 0.9112, + "step": 74 + }, + { + "epoch": 0.0, + "grad_norm": 1.9329373913702053, + "learning_rate": 1.1773940345368917e-06, + "loss": 1.0213, + "step": 75 + }, + { + "epoch": 0.0, + "grad_norm": 1.7408619251823372, + "learning_rate": 1.1930926216640504e-06, + "loss": 0.8736, + "step": 76 + }, + { + "epoch": 0.0, + "grad_norm": 1.6713491802181992, + "learning_rate": 1.2087912087912089e-06, + "loss": 0.806, + "step": 77 + }, + { + "epoch": 0.0, + "grad_norm": 1.8077162871497467, + "learning_rate": 1.2244897959183673e-06, + "loss": 0.99, + "step": 78 + }, + { + "epoch": 0.0, + "grad_norm": 2.0057531262392994, + "learning_rate": 1.240188383045526e-06, + "loss": 0.9605, + "step": 79 + }, + { + "epoch": 0.0, + "grad_norm": 0.7579569165698241, + "learning_rate": 1.2558869701726845e-06, + "loss": 0.7157, + "step": 80 + }, + { + "epoch": 0.0, + "grad_norm": 1.6073771959902685, + "learning_rate": 1.2715855572998431e-06, + "loss": 0.9095, + "step": 81 + }, + { + "epoch": 0.0, + "grad_norm": 1.8125456570324496, + "learning_rate": 1.2872841444270018e-06, + "loss": 1.0042, + "step": 82 + }, + { + "epoch": 0.0, + "grad_norm": 1.7395101315155517, + "learning_rate": 1.30298273155416e-06, + "loss": 1.0877, + "step": 83 + }, + { + "epoch": 0.0, + "grad_norm": 2.0690020560886797, + "learning_rate": 1.3186813186813187e-06, + "loss": 0.9171, + "step": 84 + }, + { + "epoch": 0.0, + "grad_norm": 0.7975260209469566, + "learning_rate": 1.3343799058084774e-06, + "loss": 0.7143, + "step": 85 + }, + { + "epoch": 0.0, + "grad_norm": 1.6954591419593534, + "learning_rate": 1.3500784929356359e-06, + "loss": 0.9295, + "step": 86 + }, + { + "epoch": 0.0, + "grad_norm": 0.734049189114901, + "learning_rate": 1.3657770800627946e-06, + "loss": 0.7282, + "step": 87 + }, + { + "epoch": 0.0, + "grad_norm": 1.4594636281623798, + "learning_rate": 1.3814756671899528e-06, + "loss": 0.7326, + "step": 88 + }, + { + "epoch": 0.0, + "grad_norm": 1.5138813385316199, + "learning_rate": 1.3971742543171115e-06, + "loss": 0.9081, + "step": 89 + }, + { + "epoch": 0.0, + "grad_norm": 1.4682298034558556, + "learning_rate": 1.4128728414442702e-06, + "loss": 0.8502, + "step": 90 + }, + { + "epoch": 0.0, + "grad_norm": 2.3479757008806175, + "learning_rate": 1.4285714285714286e-06, + "loss": 1.0367, + "step": 91 + }, + { + "epoch": 0.0, + "grad_norm": 1.678037611345193, + "learning_rate": 1.4442700156985873e-06, + "loss": 1.0462, + "step": 92 + }, + { + "epoch": 0.0, + "grad_norm": 1.6512471322965054, + "learning_rate": 1.459968602825746e-06, + "loss": 0.9309, + "step": 93 + }, + { + "epoch": 0.0, + "grad_norm": 1.5816262585916547, + "learning_rate": 1.4756671899529042e-06, + "loss": 0.9327, + "step": 94 + }, + { + "epoch": 0.0, + "grad_norm": 0.7576066714766521, + "learning_rate": 1.491365777080063e-06, + "loss": 0.6746, + "step": 95 + }, + { + "epoch": 0.0, + "grad_norm": 1.6173833876735633, + "learning_rate": 1.5070643642072214e-06, + "loss": 0.8179, + "step": 96 + }, + { + "epoch": 0.0, + "grad_norm": 1.774749687476227, + "learning_rate": 1.52276295133438e-06, + "loss": 0.8882, + "step": 97 + }, + { + "epoch": 0.0, + "grad_norm": 0.7314245799758982, + "learning_rate": 1.5384615384615387e-06, + "loss": 0.7265, + "step": 98 + }, + { + "epoch": 0.0, + "grad_norm": 2.4927029300662777, + "learning_rate": 1.554160125588697e-06, + "loss": 1.0968, + "step": 99 + }, + { + "epoch": 0.0, + "grad_norm": 1.699018466624318, + "learning_rate": 1.5698587127158556e-06, + "loss": 0.9592, + "step": 100 + }, + { + "epoch": 0.0, + "grad_norm": 1.6594505226532759, + "learning_rate": 1.5855572998430143e-06, + "loss": 0.9846, + "step": 101 + }, + { + "epoch": 0.0, + "grad_norm": 1.6078773090310121, + "learning_rate": 1.6012558869701728e-06, + "loss": 1.0441, + "step": 102 + }, + { + "epoch": 0.0, + "grad_norm": 1.8527288271828772, + "learning_rate": 1.6169544740973315e-06, + "loss": 0.9879, + "step": 103 + }, + { + "epoch": 0.0, + "grad_norm": 2.1075417607260483, + "learning_rate": 1.6326530612244897e-06, + "loss": 0.9529, + "step": 104 + }, + { + "epoch": 0.0, + "grad_norm": 2.0131089043183827, + "learning_rate": 1.6483516483516484e-06, + "loss": 0.8095, + "step": 105 + }, + { + "epoch": 0.0, + "grad_norm": 2.2238330331570135, + "learning_rate": 1.664050235478807e-06, + "loss": 0.9625, + "step": 106 + }, + { + "epoch": 0.0, + "grad_norm": 1.7549909316632963, + "learning_rate": 1.6797488226059655e-06, + "loss": 0.94, + "step": 107 + }, + { + "epoch": 0.0, + "grad_norm": 1.492889219757501, + "learning_rate": 1.6954474097331242e-06, + "loss": 0.6414, + "step": 108 + }, + { + "epoch": 0.0, + "grad_norm": 1.5117545506939705, + "learning_rate": 1.7111459968602829e-06, + "loss": 0.8253, + "step": 109 + }, + { + "epoch": 0.0, + "grad_norm": 2.2042562492151574, + "learning_rate": 1.7268445839874411e-06, + "loss": 0.8855, + "step": 110 + }, + { + "epoch": 0.0, + "grad_norm": 1.7020564620730672, + "learning_rate": 1.7425431711145998e-06, + "loss": 0.8439, + "step": 111 + }, + { + "epoch": 0.0, + "grad_norm": 0.7478540769836374, + "learning_rate": 1.7582417582417585e-06, + "loss": 0.7285, + "step": 112 + }, + { + "epoch": 0.0, + "grad_norm": 1.6842481832451077, + "learning_rate": 1.773940345368917e-06, + "loss": 0.9207, + "step": 113 + }, + { + "epoch": 0.0, + "grad_norm": 1.772397367957122, + "learning_rate": 1.7896389324960756e-06, + "loss": 1.05, + "step": 114 + }, + { + "epoch": 0.0, + "grad_norm": 0.7350741739056468, + "learning_rate": 1.8053375196232339e-06, + "loss": 0.7228, + "step": 115 + }, + { + "epoch": 0.0, + "grad_norm": 1.9184481855301636, + "learning_rate": 1.8210361067503925e-06, + "loss": 0.932, + "step": 116 + }, + { + "epoch": 0.0, + "grad_norm": 1.5653614808057856, + "learning_rate": 1.8367346938775512e-06, + "loss": 0.9541, + "step": 117 + }, + { + "epoch": 0.0, + "grad_norm": 1.7013769294451977, + "learning_rate": 1.8524332810047097e-06, + "loss": 1.0359, + "step": 118 + }, + { + "epoch": 0.0, + "grad_norm": 1.584859911678946, + "learning_rate": 1.8681318681318684e-06, + "loss": 0.9004, + "step": 119 + }, + { + "epoch": 0.0, + "grad_norm": 2.3687242090772394, + "learning_rate": 1.883830455259027e-06, + "loss": 0.9944, + "step": 120 + }, + { + "epoch": 0.0, + "grad_norm": 1.5158104361417704, + "learning_rate": 1.8995290423861853e-06, + "loss": 0.9589, + "step": 121 + }, + { + "epoch": 0.0, + "grad_norm": 1.5824724685911926, + "learning_rate": 1.915227629513344e-06, + "loss": 0.9672, + "step": 122 + }, + { + "epoch": 0.0, + "grad_norm": 1.6871851528991626, + "learning_rate": 1.9309262166405024e-06, + "loss": 0.9294, + "step": 123 + }, + { + "epoch": 0.0, + "grad_norm": 2.6885536497836706, + "learning_rate": 1.946624803767661e-06, + "loss": 0.7682, + "step": 124 + }, + { + "epoch": 0.0, + "grad_norm": 1.810625080118532, + "learning_rate": 1.9623233908948198e-06, + "loss": 1.0624, + "step": 125 + }, + { + "epoch": 0.0, + "grad_norm": 1.5159343456480203, + "learning_rate": 1.9780219780219782e-06, + "loss": 0.9702, + "step": 126 + }, + { + "epoch": 0.0, + "grad_norm": 1.728083171937014, + "learning_rate": 1.9937205651491367e-06, + "loss": 0.9291, + "step": 127 + }, + { + "epoch": 0.0, + "grad_norm": 1.7078504105436638, + "learning_rate": 2.0094191522762956e-06, + "loss": 0.9571, + "step": 128 + }, + { + "epoch": 0.0, + "grad_norm": 1.6397345312913376, + "learning_rate": 2.0251177394034536e-06, + "loss": 1.0045, + "step": 129 + }, + { + "epoch": 0.0, + "grad_norm": 1.6950767280422028, + "learning_rate": 2.0408163265306125e-06, + "loss": 1.1177, + "step": 130 + }, + { + "epoch": 0.0, + "grad_norm": 1.7214510732274362, + "learning_rate": 2.056514913657771e-06, + "loss": 0.8886, + "step": 131 + }, + { + "epoch": 0.0, + "grad_norm": 1.4504670668382724, + "learning_rate": 2.0722135007849294e-06, + "loss": 0.8589, + "step": 132 + }, + { + "epoch": 0.0, + "grad_norm": 1.5327517987728936, + "learning_rate": 2.0879120879120883e-06, + "loss": 0.914, + "step": 133 + }, + { + "epoch": 0.0, + "grad_norm": 1.9125018041621102, + "learning_rate": 2.1036106750392464e-06, + "loss": 1.0105, + "step": 134 + }, + { + "epoch": 0.0, + "grad_norm": 1.829521029585462, + "learning_rate": 2.1193092621664052e-06, + "loss": 1.0047, + "step": 135 + }, + { + "epoch": 0.0, + "grad_norm": 2.0220068567921463, + "learning_rate": 2.1350078492935637e-06, + "loss": 0.8653, + "step": 136 + }, + { + "epoch": 0.0, + "grad_norm": 1.8101402512040083, + "learning_rate": 2.150706436420722e-06, + "loss": 0.8834, + "step": 137 + }, + { + "epoch": 0.0, + "grad_norm": 1.8941164564708524, + "learning_rate": 2.166405023547881e-06, + "loss": 0.9635, + "step": 138 + }, + { + "epoch": 0.0, + "grad_norm": 1.6776282657665365, + "learning_rate": 2.1821036106750395e-06, + "loss": 0.9051, + "step": 139 + }, + { + "epoch": 0.0, + "grad_norm": 1.767795325914773, + "learning_rate": 2.197802197802198e-06, + "loss": 0.8733, + "step": 140 + }, + { + "epoch": 0.0, + "grad_norm": 1.847015926327031, + "learning_rate": 2.2135007849293564e-06, + "loss": 0.8734, + "step": 141 + }, + { + "epoch": 0.0, + "grad_norm": 1.6623607259593434, + "learning_rate": 2.229199372056515e-06, + "loss": 0.9349, + "step": 142 + }, + { + "epoch": 0.0, + "grad_norm": 1.7384461782736158, + "learning_rate": 2.244897959183674e-06, + "loss": 0.9628, + "step": 143 + }, + { + "epoch": 0.0, + "grad_norm": 1.7328028731002392, + "learning_rate": 2.2605965463108323e-06, + "loss": 0.9883, + "step": 144 + }, + { + "epoch": 0.0, + "grad_norm": 1.7638154271263282, + "learning_rate": 2.2762951334379907e-06, + "loss": 0.9478, + "step": 145 + }, + { + "epoch": 0.0, + "grad_norm": 1.6253891112074832, + "learning_rate": 2.291993720565149e-06, + "loss": 1.0515, + "step": 146 + }, + { + "epoch": 0.0, + "grad_norm": 1.9424593559569008, + "learning_rate": 2.307692307692308e-06, + "loss": 1.014, + "step": 147 + }, + { + "epoch": 0.0, + "grad_norm": 2.88394764250397, + "learning_rate": 2.3233908948194665e-06, + "loss": 0.7674, + "step": 148 + }, + { + "epoch": 0.0, + "grad_norm": 1.618040908951974, + "learning_rate": 2.339089481946625e-06, + "loss": 1.0285, + "step": 149 + }, + { + "epoch": 0.0, + "grad_norm": 0.8222977985259934, + "learning_rate": 2.3547880690737835e-06, + "loss": 0.7573, + "step": 150 + }, + { + "epoch": 0.0, + "grad_norm": 1.6525221171183473, + "learning_rate": 2.370486656200942e-06, + "loss": 0.8527, + "step": 151 + }, + { + "epoch": 0.0, + "grad_norm": 1.8573905588254263, + "learning_rate": 2.386185243328101e-06, + "loss": 1.0047, + "step": 152 + }, + { + "epoch": 0.0, + "grad_norm": 1.9174043313584799, + "learning_rate": 2.4018838304552593e-06, + "loss": 0.8877, + "step": 153 + }, + { + "epoch": 0.0, + "grad_norm": 0.7827435199934967, + "learning_rate": 2.4175824175824177e-06, + "loss": 0.7475, + "step": 154 + }, + { + "epoch": 0.0, + "grad_norm": 1.7306191781177225, + "learning_rate": 2.4332810047095766e-06, + "loss": 0.9294, + "step": 155 + }, + { + "epoch": 0.0, + "grad_norm": 0.7631544800057204, + "learning_rate": 2.4489795918367347e-06, + "loss": 0.7263, + "step": 156 + }, + { + "epoch": 0.0, + "grad_norm": 1.6750653013048458, + "learning_rate": 2.4646781789638936e-06, + "loss": 0.8758, + "step": 157 + }, + { + "epoch": 0.0, + "grad_norm": 1.8709548560987914, + "learning_rate": 2.480376766091052e-06, + "loss": 0.9347, + "step": 158 + }, + { + "epoch": 0.0, + "grad_norm": 1.5910997511034637, + "learning_rate": 2.4960753532182105e-06, + "loss": 0.8752, + "step": 159 + }, + { + "epoch": 0.0, + "grad_norm": 1.5698992036809458, + "learning_rate": 2.511773940345369e-06, + "loss": 0.9143, + "step": 160 + }, + { + "epoch": 0.0, + "grad_norm": 1.809011535310256, + "learning_rate": 2.5274725274725274e-06, + "loss": 0.8518, + "step": 161 + }, + { + "epoch": 0.0, + "grad_norm": 2.014545689184869, + "learning_rate": 2.5431711145996863e-06, + "loss": 0.9683, + "step": 162 + }, + { + "epoch": 0.0, + "grad_norm": 1.8785002431577622, + "learning_rate": 2.5588697017268448e-06, + "loss": 0.973, + "step": 163 + }, + { + "epoch": 0.0, + "grad_norm": 0.7304554700361456, + "learning_rate": 2.5745682888540036e-06, + "loss": 0.7104, + "step": 164 + }, + { + "epoch": 0.0, + "grad_norm": 1.5439234443774095, + "learning_rate": 2.5902668759811617e-06, + "loss": 0.9302, + "step": 165 + }, + { + "epoch": 0.0, + "grad_norm": 1.670121053653117, + "learning_rate": 2.60596546310832e-06, + "loss": 0.9057, + "step": 166 + }, + { + "epoch": 0.0, + "grad_norm": 1.7170684452888467, + "learning_rate": 2.621664050235479e-06, + "loss": 0.7883, + "step": 167 + }, + { + "epoch": 0.0, + "grad_norm": 1.6122008900167564, + "learning_rate": 2.6373626373626375e-06, + "loss": 0.8676, + "step": 168 + }, + { + "epoch": 0.0, + "grad_norm": 1.6536853433821481, + "learning_rate": 2.6530612244897964e-06, + "loss": 0.9309, + "step": 169 + }, + { + "epoch": 0.0, + "grad_norm": 1.6393646046540775, + "learning_rate": 2.668759811616955e-06, + "loss": 0.913, + "step": 170 + }, + { + "epoch": 0.0, + "grad_norm": 1.6285782523533185, + "learning_rate": 2.684458398744113e-06, + "loss": 0.9212, + "step": 171 + }, + { + "epoch": 0.0, + "grad_norm": 1.5028069400057655, + "learning_rate": 2.7001569858712718e-06, + "loss": 0.8576, + "step": 172 + }, + { + "epoch": 0.0, + "grad_norm": 1.771363510844233, + "learning_rate": 2.7158555729984302e-06, + "loss": 0.9444, + "step": 173 + }, + { + "epoch": 0.0, + "grad_norm": 1.6441260398946904, + "learning_rate": 2.731554160125589e-06, + "loss": 0.8884, + "step": 174 + }, + { + "epoch": 0.0, + "grad_norm": 1.7394358297462535, + "learning_rate": 2.7472527472527476e-06, + "loss": 0.9386, + "step": 175 + }, + { + "epoch": 0.0, + "grad_norm": 1.9145554778044618, + "learning_rate": 2.7629513343799056e-06, + "loss": 0.9091, + "step": 176 + }, + { + "epoch": 0.0, + "grad_norm": 1.8326651414385802, + "learning_rate": 2.7786499215070645e-06, + "loss": 0.9776, + "step": 177 + }, + { + "epoch": 0.0, + "grad_norm": 0.7471843373009295, + "learning_rate": 2.794348508634223e-06, + "loss": 0.6777, + "step": 178 + }, + { + "epoch": 0.0, + "grad_norm": 2.0451486069816194, + "learning_rate": 2.810047095761382e-06, + "loss": 0.8991, + "step": 179 + }, + { + "epoch": 0.0, + "grad_norm": 1.9441789786333548, + "learning_rate": 2.8257456828885403e-06, + "loss": 0.9645, + "step": 180 + }, + { + "epoch": 0.0, + "grad_norm": 2.2369967472038206, + "learning_rate": 2.8414442700156984e-06, + "loss": 1.03, + "step": 181 + }, + { + "epoch": 0.0, + "grad_norm": 1.7342641696765728, + "learning_rate": 2.8571428571428573e-06, + "loss": 1.0984, + "step": 182 + }, + { + "epoch": 0.0, + "grad_norm": 1.8759492069799892, + "learning_rate": 2.8728414442700157e-06, + "loss": 0.7885, + "step": 183 + }, + { + "epoch": 0.0, + "grad_norm": 1.723160257481204, + "learning_rate": 2.8885400313971746e-06, + "loss": 0.9367, + "step": 184 + }, + { + "epoch": 0.0, + "grad_norm": 1.950821190106223, + "learning_rate": 2.904238618524333e-06, + "loss": 0.9736, + "step": 185 + }, + { + "epoch": 0.0, + "grad_norm": 1.8394725566786159, + "learning_rate": 2.919937205651492e-06, + "loss": 1.0015, + "step": 186 + }, + { + "epoch": 0.0, + "grad_norm": 1.6245286496773275, + "learning_rate": 2.93563579277865e-06, + "loss": 0.9073, + "step": 187 + }, + { + "epoch": 0.0, + "grad_norm": 1.7782529671411222, + "learning_rate": 2.9513343799058085e-06, + "loss": 0.9411, + "step": 188 + }, + { + "epoch": 0.0, + "grad_norm": 1.6361229159886466, + "learning_rate": 2.9670329670329673e-06, + "loss": 0.8528, + "step": 189 + }, + { + "epoch": 0.0, + "grad_norm": 2.0049419242809945, + "learning_rate": 2.982731554160126e-06, + "loss": 0.9455, + "step": 190 + }, + { + "epoch": 0.0, + "grad_norm": 1.4037348937300853, + "learning_rate": 2.9984301412872847e-06, + "loss": 0.8488, + "step": 191 + }, + { + "epoch": 0.0, + "grad_norm": 2.100201160123796, + "learning_rate": 3.0141287284144427e-06, + "loss": 1.0515, + "step": 192 + }, + { + "epoch": 0.0, + "grad_norm": 1.5454708269000643, + "learning_rate": 3.029827315541601e-06, + "loss": 0.9684, + "step": 193 + }, + { + "epoch": 0.0, + "grad_norm": 1.9096297880195001, + "learning_rate": 3.04552590266876e-06, + "loss": 0.8743, + "step": 194 + }, + { + "epoch": 0.0, + "grad_norm": 1.7024083988491807, + "learning_rate": 3.0612244897959185e-06, + "loss": 0.9903, + "step": 195 + }, + { + "epoch": 0.0, + "grad_norm": 0.8200337962394724, + "learning_rate": 3.0769230769230774e-06, + "loss": 0.6807, + "step": 196 + }, + { + "epoch": 0.0, + "grad_norm": 0.7853739712417193, + "learning_rate": 3.092621664050236e-06, + "loss": 0.7325, + "step": 197 + }, + { + "epoch": 0.0, + "grad_norm": 1.6447243669836342, + "learning_rate": 3.108320251177394e-06, + "loss": 0.9179, + "step": 198 + }, + { + "epoch": 0.0, + "grad_norm": 0.8081000617802951, + "learning_rate": 3.124018838304553e-06, + "loss": 0.6872, + "step": 199 + }, + { + "epoch": 0.0, + "grad_norm": 1.771853774534688, + "learning_rate": 3.1397174254317113e-06, + "loss": 0.9024, + "step": 200 + }, + { + "epoch": 0.0, + "grad_norm": 1.6803031573850955, + "learning_rate": 3.15541601255887e-06, + "loss": 0.8962, + "step": 201 + }, + { + "epoch": 0.0, + "grad_norm": 0.7906948812064489, + "learning_rate": 3.1711145996860286e-06, + "loss": 0.7009, + "step": 202 + }, + { + "epoch": 0.0, + "grad_norm": 1.4494396326397498, + "learning_rate": 3.1868131868131867e-06, + "loss": 0.9252, + "step": 203 + }, + { + "epoch": 0.0, + "grad_norm": 1.5724446495384325, + "learning_rate": 3.2025117739403456e-06, + "loss": 0.9953, + "step": 204 + }, + { + "epoch": 0.0, + "grad_norm": 2.6269575814737576, + "learning_rate": 3.218210361067504e-06, + "loss": 0.9114, + "step": 205 + }, + { + "epoch": 0.0, + "grad_norm": 1.5711430360594705, + "learning_rate": 3.233908948194663e-06, + "loss": 0.8782, + "step": 206 + }, + { + "epoch": 0.0, + "grad_norm": 1.4364746265041175, + "learning_rate": 3.2496075353218214e-06, + "loss": 0.9665, + "step": 207 + }, + { + "epoch": 0.0, + "grad_norm": 1.9166162974817362, + "learning_rate": 3.2653061224489794e-06, + "loss": 0.9278, + "step": 208 + }, + { + "epoch": 0.0, + "grad_norm": 0.7513039446031353, + "learning_rate": 3.2810047095761383e-06, + "loss": 0.6957, + "step": 209 + }, + { + "epoch": 0.0, + "grad_norm": 1.9833174269997278, + "learning_rate": 3.2967032967032968e-06, + "loss": 0.9993, + "step": 210 + }, + { + "epoch": 0.0, + "grad_norm": 1.6029471604798737, + "learning_rate": 3.3124018838304557e-06, + "loss": 0.988, + "step": 211 + }, + { + "epoch": 0.0, + "grad_norm": 1.6761423484477576, + "learning_rate": 3.328100470957614e-06, + "loss": 0.9565, + "step": 212 + }, + { + "epoch": 0.01, + "grad_norm": 1.489073628190942, + "learning_rate": 3.343799058084773e-06, + "loss": 0.8434, + "step": 213 + }, + { + "epoch": 0.01, + "grad_norm": 1.925049597474539, + "learning_rate": 3.359497645211931e-06, + "loss": 0.8494, + "step": 214 + }, + { + "epoch": 0.01, + "grad_norm": 1.6516982721230924, + "learning_rate": 3.3751962323390895e-06, + "loss": 0.8999, + "step": 215 + }, + { + "epoch": 0.01, + "grad_norm": 1.6832253765739942, + "learning_rate": 3.3908948194662484e-06, + "loss": 1.041, + "step": 216 + }, + { + "epoch": 0.01, + "grad_norm": 1.878088181030581, + "learning_rate": 3.406593406593407e-06, + "loss": 0.9722, + "step": 217 + }, + { + "epoch": 0.01, + "grad_norm": 1.6209465098766387, + "learning_rate": 3.4222919937205657e-06, + "loss": 0.9235, + "step": 218 + }, + { + "epoch": 0.01, + "grad_norm": 1.6759573366278044, + "learning_rate": 3.4379905808477238e-06, + "loss": 0.8312, + "step": 219 + }, + { + "epoch": 0.01, + "grad_norm": 1.6243046240364065, + "learning_rate": 3.4536891679748822e-06, + "loss": 0.9062, + "step": 220 + }, + { + "epoch": 0.01, + "grad_norm": 1.9718848666847388, + "learning_rate": 3.469387755102041e-06, + "loss": 0.9293, + "step": 221 + }, + { + "epoch": 0.01, + "grad_norm": 1.6755479856284274, + "learning_rate": 3.4850863422291996e-06, + "loss": 0.8377, + "step": 222 + }, + { + "epoch": 0.01, + "grad_norm": 0.72514412053546, + "learning_rate": 3.5007849293563585e-06, + "loss": 0.729, + "step": 223 + }, + { + "epoch": 0.01, + "grad_norm": 1.6120278563160824, + "learning_rate": 3.516483516483517e-06, + "loss": 1.0568, + "step": 224 + }, + { + "epoch": 0.01, + "grad_norm": 1.6064230993258377, + "learning_rate": 3.532182103610675e-06, + "loss": 0.8876, + "step": 225 + }, + { + "epoch": 0.01, + "grad_norm": 1.6514253990630532, + "learning_rate": 3.547880690737834e-06, + "loss": 0.8577, + "step": 226 + }, + { + "epoch": 0.01, + "grad_norm": 2.096162614190356, + "learning_rate": 3.5635792778649923e-06, + "loss": 0.9161, + "step": 227 + }, + { + "epoch": 0.01, + "grad_norm": 2.1467725585521187, + "learning_rate": 3.5792778649921512e-06, + "loss": 0.9189, + "step": 228 + }, + { + "epoch": 0.01, + "grad_norm": 1.543616921394075, + "learning_rate": 3.5949764521193097e-06, + "loss": 0.8943, + "step": 229 + }, + { + "epoch": 0.01, + "grad_norm": 1.6380255184072785, + "learning_rate": 3.6106750392464677e-06, + "loss": 0.9599, + "step": 230 + }, + { + "epoch": 0.01, + "grad_norm": 3.1271476897097386, + "learning_rate": 3.6263736263736266e-06, + "loss": 0.879, + "step": 231 + }, + { + "epoch": 0.01, + "grad_norm": 0.7765652746857012, + "learning_rate": 3.642072213500785e-06, + "loss": 0.7191, + "step": 232 + }, + { + "epoch": 0.01, + "grad_norm": 2.027936855342829, + "learning_rate": 3.657770800627944e-06, + "loss": 0.9105, + "step": 233 + }, + { + "epoch": 0.01, + "grad_norm": 0.8023499918124267, + "learning_rate": 3.6734693877551024e-06, + "loss": 0.6709, + "step": 234 + }, + { + "epoch": 0.01, + "grad_norm": 1.7920551618514433, + "learning_rate": 3.6891679748822605e-06, + "loss": 1.0095, + "step": 235 + }, + { + "epoch": 0.01, + "grad_norm": 1.6919185442341989, + "learning_rate": 3.7048665620094194e-06, + "loss": 1.0194, + "step": 236 + }, + { + "epoch": 0.01, + "grad_norm": 1.8164655554130533, + "learning_rate": 3.720565149136578e-06, + "loss": 0.8882, + "step": 237 + }, + { + "epoch": 0.01, + "grad_norm": 1.9212758289926553, + "learning_rate": 3.7362637362637367e-06, + "loss": 1.0315, + "step": 238 + }, + { + "epoch": 0.01, + "grad_norm": 0.7486040750788994, + "learning_rate": 3.751962323390895e-06, + "loss": 0.6983, + "step": 239 + }, + { + "epoch": 0.01, + "grad_norm": 1.7744658159793874, + "learning_rate": 3.767660910518054e-06, + "loss": 0.7872, + "step": 240 + }, + { + "epoch": 0.01, + "grad_norm": 0.7430606915557436, + "learning_rate": 3.783359497645212e-06, + "loss": 0.7293, + "step": 241 + }, + { + "epoch": 0.01, + "grad_norm": 1.742196612971735, + "learning_rate": 3.7990580847723706e-06, + "loss": 0.9294, + "step": 242 + }, + { + "epoch": 0.01, + "grad_norm": 1.4637875207024553, + "learning_rate": 3.814756671899529e-06, + "loss": 0.8535, + "step": 243 + }, + { + "epoch": 0.01, + "grad_norm": 1.5209887827395956, + "learning_rate": 3.830455259026688e-06, + "loss": 1.0744, + "step": 244 + }, + { + "epoch": 0.01, + "grad_norm": 1.7540364955999892, + "learning_rate": 3.846153846153847e-06, + "loss": 0.9274, + "step": 245 + }, + { + "epoch": 0.01, + "grad_norm": 1.5184510117815146, + "learning_rate": 3.861852433281005e-06, + "loss": 0.9343, + "step": 246 + }, + { + "epoch": 0.01, + "grad_norm": 1.6134621034645797, + "learning_rate": 3.877551020408164e-06, + "loss": 0.8976, + "step": 247 + }, + { + "epoch": 0.01, + "grad_norm": 1.7837154318671415, + "learning_rate": 3.893249607535322e-06, + "loss": 0.9135, + "step": 248 + }, + { + "epoch": 0.01, + "grad_norm": 2.3334639119339546, + "learning_rate": 3.908948194662481e-06, + "loss": 1.0111, + "step": 249 + }, + { + "epoch": 0.01, + "grad_norm": 2.0878860250385327, + "learning_rate": 3.9246467817896395e-06, + "loss": 0.9491, + "step": 250 + }, + { + "epoch": 0.01, + "grad_norm": 2.092826715169234, + "learning_rate": 3.940345368916798e-06, + "loss": 0.9012, + "step": 251 + }, + { + "epoch": 0.01, + "grad_norm": 1.6266810841166537, + "learning_rate": 3.9560439560439565e-06, + "loss": 0.8658, + "step": 252 + }, + { + "epoch": 0.01, + "grad_norm": 1.5318370804290868, + "learning_rate": 3.9717425431711145e-06, + "loss": 1.0041, + "step": 253 + }, + { + "epoch": 0.01, + "grad_norm": 1.7784513910320596, + "learning_rate": 3.987441130298273e-06, + "loss": 0.8168, + "step": 254 + }, + { + "epoch": 0.01, + "grad_norm": 1.7629587684239383, + "learning_rate": 4.003139717425432e-06, + "loss": 0.8658, + "step": 255 + }, + { + "epoch": 0.01, + "grad_norm": 1.5462106558788018, + "learning_rate": 4.018838304552591e-06, + "loss": 0.7858, + "step": 256 + }, + { + "epoch": 0.01, + "grad_norm": 2.4480463248415534, + "learning_rate": 4.034536891679749e-06, + "loss": 0.8903, + "step": 257 + }, + { + "epoch": 0.01, + "grad_norm": 1.7684774651827488, + "learning_rate": 4.050235478806907e-06, + "loss": 0.8704, + "step": 258 + }, + { + "epoch": 0.01, + "grad_norm": 1.712890917840925, + "learning_rate": 4.065934065934066e-06, + "loss": 0.7651, + "step": 259 + }, + { + "epoch": 0.01, + "grad_norm": 2.332095165221455, + "learning_rate": 4.081632653061225e-06, + "loss": 0.9048, + "step": 260 + }, + { + "epoch": 0.01, + "grad_norm": 1.5427886247370297, + "learning_rate": 4.097331240188384e-06, + "loss": 0.7422, + "step": 261 + }, + { + "epoch": 0.01, + "grad_norm": 0.7451199445807843, + "learning_rate": 4.113029827315542e-06, + "loss": 0.694, + "step": 262 + }, + { + "epoch": 0.01, + "grad_norm": 1.8217157710315472, + "learning_rate": 4.1287284144427e-06, + "loss": 0.9077, + "step": 263 + }, + { + "epoch": 0.01, + "grad_norm": 1.5982581971989942, + "learning_rate": 4.144427001569859e-06, + "loss": 0.8924, + "step": 264 + }, + { + "epoch": 0.01, + "grad_norm": 1.4157570588262873, + "learning_rate": 4.160125588697018e-06, + "loss": 0.891, + "step": 265 + }, + { + "epoch": 0.01, + "grad_norm": 1.682598289365908, + "learning_rate": 4.175824175824177e-06, + "loss": 0.878, + "step": 266 + }, + { + "epoch": 0.01, + "grad_norm": 1.6562511875237174, + "learning_rate": 4.191522762951335e-06, + "loss": 1.0662, + "step": 267 + }, + { + "epoch": 0.01, + "grad_norm": 1.6373652526047278, + "learning_rate": 4.207221350078493e-06, + "loss": 0.9789, + "step": 268 + }, + { + "epoch": 0.01, + "grad_norm": 1.7113294000872286, + "learning_rate": 4.222919937205652e-06, + "loss": 0.8882, + "step": 269 + }, + { + "epoch": 0.01, + "grad_norm": 4.819980126979845, + "learning_rate": 4.2386185243328105e-06, + "loss": 0.9415, + "step": 270 + }, + { + "epoch": 0.01, + "grad_norm": 0.7532702339073831, + "learning_rate": 4.254317111459969e-06, + "loss": 0.6899, + "step": 271 + }, + { + "epoch": 0.01, + "grad_norm": 1.7666392997942506, + "learning_rate": 4.270015698587127e-06, + "loss": 0.9009, + "step": 272 + }, + { + "epoch": 0.01, + "grad_norm": 1.638456596091315, + "learning_rate": 4.2857142857142855e-06, + "loss": 0.9071, + "step": 273 + }, + { + "epoch": 0.01, + "grad_norm": 1.6075986740545918, + "learning_rate": 4.301412872841444e-06, + "loss": 0.9549, + "step": 274 + }, + { + "epoch": 0.01, + "grad_norm": 2.0882329952256953, + "learning_rate": 4.317111459968603e-06, + "loss": 0.9511, + "step": 275 + }, + { + "epoch": 0.01, + "grad_norm": 1.6905906676245892, + "learning_rate": 4.332810047095762e-06, + "loss": 0.9485, + "step": 276 + }, + { + "epoch": 0.01, + "grad_norm": 1.788442944099477, + "learning_rate": 4.34850863422292e-06, + "loss": 0.91, + "step": 277 + }, + { + "epoch": 0.01, + "grad_norm": 1.7145751512497558, + "learning_rate": 4.364207221350079e-06, + "loss": 0.9663, + "step": 278 + }, + { + "epoch": 0.01, + "grad_norm": 1.8281627593117127, + "learning_rate": 4.379905808477237e-06, + "loss": 0.8963, + "step": 279 + }, + { + "epoch": 0.01, + "grad_norm": 1.573997823359264, + "learning_rate": 4.395604395604396e-06, + "loss": 0.9589, + "step": 280 + }, + { + "epoch": 0.01, + "grad_norm": 1.7768596940410974, + "learning_rate": 4.411302982731555e-06, + "loss": 0.9299, + "step": 281 + }, + { + "epoch": 0.01, + "grad_norm": 1.599625503906451, + "learning_rate": 4.427001569858713e-06, + "loss": 0.9293, + "step": 282 + }, + { + "epoch": 0.01, + "grad_norm": 1.9318794385457432, + "learning_rate": 4.442700156985872e-06, + "loss": 0.9173, + "step": 283 + }, + { + "epoch": 0.01, + "grad_norm": 1.6651527670102098, + "learning_rate": 4.45839874411303e-06, + "loss": 0.8385, + "step": 284 + }, + { + "epoch": 0.01, + "grad_norm": 1.7115752325635438, + "learning_rate": 4.474097331240189e-06, + "loss": 1.0471, + "step": 285 + }, + { + "epoch": 0.01, + "grad_norm": 1.7704220938992883, + "learning_rate": 4.489795918367348e-06, + "loss": 1.0104, + "step": 286 + }, + { + "epoch": 0.01, + "grad_norm": 2.1452804228108158, + "learning_rate": 4.505494505494506e-06, + "loss": 0.9042, + "step": 287 + }, + { + "epoch": 0.01, + "grad_norm": 1.688137776079435, + "learning_rate": 4.5211930926216645e-06, + "loss": 0.9548, + "step": 288 + }, + { + "epoch": 0.01, + "grad_norm": 1.776597626211792, + "learning_rate": 4.5368916797488226e-06, + "loss": 0.8996, + "step": 289 + }, + { + "epoch": 0.01, + "grad_norm": 4.16966773010081, + "learning_rate": 4.5525902668759815e-06, + "loss": 0.8292, + "step": 290 + }, + { + "epoch": 0.01, + "grad_norm": 1.6010916798527417, + "learning_rate": 4.56828885400314e-06, + "loss": 0.8489, + "step": 291 + }, + { + "epoch": 0.01, + "grad_norm": 1.5654750931988162, + "learning_rate": 4.583987441130298e-06, + "loss": 0.7755, + "step": 292 + }, + { + "epoch": 0.01, + "grad_norm": 1.92934619014978, + "learning_rate": 4.599686028257457e-06, + "loss": 0.9909, + "step": 293 + }, + { + "epoch": 0.01, + "grad_norm": 1.5551036176452149, + "learning_rate": 4.615384615384616e-06, + "loss": 0.9644, + "step": 294 + }, + { + "epoch": 0.01, + "grad_norm": 1.894422498204267, + "learning_rate": 4.631083202511774e-06, + "loss": 0.8673, + "step": 295 + }, + { + "epoch": 0.01, + "grad_norm": 0.7618097524507628, + "learning_rate": 4.646781789638933e-06, + "loss": 0.699, + "step": 296 + }, + { + "epoch": 0.01, + "grad_norm": 2.182682577802841, + "learning_rate": 4.662480376766091e-06, + "loss": 0.8305, + "step": 297 + }, + { + "epoch": 0.01, + "grad_norm": 1.6195424252925041, + "learning_rate": 4.67817896389325e-06, + "loss": 1.0153, + "step": 298 + }, + { + "epoch": 0.01, + "grad_norm": 1.5413560056633067, + "learning_rate": 4.693877551020409e-06, + "loss": 0.9142, + "step": 299 + }, + { + "epoch": 0.01, + "grad_norm": 1.6567484755628235, + "learning_rate": 4.709576138147567e-06, + "loss": 1.0291, + "step": 300 + }, + { + "epoch": 0.01, + "grad_norm": 3.2964409016814478, + "learning_rate": 4.725274725274726e-06, + "loss": 0.8101, + "step": 301 + }, + { + "epoch": 0.01, + "grad_norm": 1.47705994492833, + "learning_rate": 4.740973312401884e-06, + "loss": 0.9427, + "step": 302 + }, + { + "epoch": 0.01, + "grad_norm": 1.605601988116758, + "learning_rate": 4.756671899529043e-06, + "loss": 0.8259, + "step": 303 + }, + { + "epoch": 0.01, + "grad_norm": 1.7259669258069992, + "learning_rate": 4.772370486656202e-06, + "loss": 0.883, + "step": 304 + }, + { + "epoch": 0.01, + "grad_norm": 2.029412894390522, + "learning_rate": 4.7880690737833605e-06, + "loss": 0.8337, + "step": 305 + }, + { + "epoch": 0.01, + "grad_norm": 2.0437928231224447, + "learning_rate": 4.8037676609105186e-06, + "loss": 0.935, + "step": 306 + }, + { + "epoch": 0.01, + "grad_norm": 2.006487590905564, + "learning_rate": 4.819466248037677e-06, + "loss": 0.9722, + "step": 307 + }, + { + "epoch": 0.01, + "grad_norm": 1.693866428756853, + "learning_rate": 4.8351648351648355e-06, + "loss": 0.8315, + "step": 308 + }, + { + "epoch": 0.01, + "grad_norm": 1.6727025944998986, + "learning_rate": 4.850863422291994e-06, + "loss": 0.9968, + "step": 309 + }, + { + "epoch": 0.01, + "grad_norm": 3.133481931406222, + "learning_rate": 4.866562009419153e-06, + "loss": 0.8555, + "step": 310 + }, + { + "epoch": 0.01, + "grad_norm": 1.8825642583761812, + "learning_rate": 4.882260596546311e-06, + "loss": 0.8249, + "step": 311 + }, + { + "epoch": 0.01, + "grad_norm": 1.7540573797275143, + "learning_rate": 4.897959183673469e-06, + "loss": 0.9443, + "step": 312 + }, + { + "epoch": 0.01, + "grad_norm": 1.77261676438318, + "learning_rate": 4.913657770800628e-06, + "loss": 0.8461, + "step": 313 + }, + { + "epoch": 0.01, + "grad_norm": 0.7795614751688495, + "learning_rate": 4.929356357927787e-06, + "loss": 0.7131, + "step": 314 + }, + { + "epoch": 0.01, + "grad_norm": 1.7355444692714257, + "learning_rate": 4.945054945054946e-06, + "loss": 0.86, + "step": 315 + }, + { + "epoch": 0.01, + "grad_norm": 1.5732227210427612, + "learning_rate": 4.960753532182104e-06, + "loss": 0.7521, + "step": 316 + }, + { + "epoch": 0.01, + "grad_norm": 1.751257632586913, + "learning_rate": 4.976452119309262e-06, + "loss": 0.7922, + "step": 317 + }, + { + "epoch": 0.01, + "grad_norm": 1.7876222106388955, + "learning_rate": 4.992150706436421e-06, + "loss": 0.8256, + "step": 318 + }, + { + "epoch": 0.01, + "grad_norm": 1.4251481807948407, + "learning_rate": 5.007849293563579e-06, + "loss": 0.9798, + "step": 319 + }, + { + "epoch": 0.01, + "grad_norm": 1.6928938746398037, + "learning_rate": 5.023547880690738e-06, + "loss": 1.0037, + "step": 320 + }, + { + "epoch": 0.01, + "grad_norm": 2.6715218308265323, + "learning_rate": 5.039246467817897e-06, + "loss": 0.9846, + "step": 321 + }, + { + "epoch": 0.01, + "grad_norm": 1.9044995442772477, + "learning_rate": 5.054945054945055e-06, + "loss": 0.9574, + "step": 322 + }, + { + "epoch": 0.01, + "grad_norm": 1.6434512459440722, + "learning_rate": 5.070643642072214e-06, + "loss": 0.8586, + "step": 323 + }, + { + "epoch": 0.01, + "grad_norm": 1.4308099073674434, + "learning_rate": 5.086342229199373e-06, + "loss": 0.838, + "step": 324 + }, + { + "epoch": 0.01, + "grad_norm": 1.872784633931917, + "learning_rate": 5.1020408163265315e-06, + "loss": 0.7793, + "step": 325 + }, + { + "epoch": 0.01, + "grad_norm": 1.8141130389098534, + "learning_rate": 5.1177394034536895e-06, + "loss": 1.0594, + "step": 326 + }, + { + "epoch": 0.01, + "grad_norm": 2.426048243035347, + "learning_rate": 5.133437990580848e-06, + "loss": 0.8959, + "step": 327 + }, + { + "epoch": 0.01, + "grad_norm": 1.9439358753209357, + "learning_rate": 5.149136577708007e-06, + "loss": 0.9045, + "step": 328 + }, + { + "epoch": 0.01, + "grad_norm": 0.7685856935780896, + "learning_rate": 5.164835164835166e-06, + "loss": 0.6985, + "step": 329 + }, + { + "epoch": 0.01, + "grad_norm": 1.672385298103698, + "learning_rate": 5.180533751962323e-06, + "loss": 1.0852, + "step": 330 + }, + { + "epoch": 0.01, + "grad_norm": 1.5242373098568602, + "learning_rate": 5.196232339089482e-06, + "loss": 0.8751, + "step": 331 + }, + { + "epoch": 0.01, + "grad_norm": 1.650507275631921, + "learning_rate": 5.21193092621664e-06, + "loss": 0.972, + "step": 332 + }, + { + "epoch": 0.01, + "grad_norm": 1.533098945392548, + "learning_rate": 5.227629513343799e-06, + "loss": 0.926, + "step": 333 + }, + { + "epoch": 0.01, + "grad_norm": 1.5340885753957647, + "learning_rate": 5.243328100470958e-06, + "loss": 0.9785, + "step": 334 + }, + { + "epoch": 0.01, + "grad_norm": 0.7063529867269156, + "learning_rate": 5.259026687598117e-06, + "loss": 0.7026, + "step": 335 + }, + { + "epoch": 0.01, + "grad_norm": 2.009637859048855, + "learning_rate": 5.274725274725275e-06, + "loss": 0.8365, + "step": 336 + }, + { + "epoch": 0.01, + "grad_norm": 1.9150161392857206, + "learning_rate": 5.290423861852434e-06, + "loss": 0.9464, + "step": 337 + }, + { + "epoch": 0.01, + "grad_norm": 0.793073046516515, + "learning_rate": 5.306122448979593e-06, + "loss": 0.718, + "step": 338 + }, + { + "epoch": 0.01, + "grad_norm": 1.582929474339108, + "learning_rate": 5.321821036106752e-06, + "loss": 1.0954, + "step": 339 + }, + { + "epoch": 0.01, + "grad_norm": 1.7200586617303322, + "learning_rate": 5.33751962323391e-06, + "loss": 0.8951, + "step": 340 + }, + { + "epoch": 0.01, + "grad_norm": 0.7986647600905398, + "learning_rate": 5.353218210361068e-06, + "loss": 0.713, + "step": 341 + }, + { + "epoch": 0.01, + "grad_norm": 0.7655799088988134, + "learning_rate": 5.368916797488226e-06, + "loss": 0.7075, + "step": 342 + }, + { + "epoch": 0.01, + "grad_norm": 0.7439014048033346, + "learning_rate": 5.384615384615385e-06, + "loss": 0.7225, + "step": 343 + }, + { + "epoch": 0.01, + "grad_norm": 1.8400821077079543, + "learning_rate": 5.4003139717425436e-06, + "loss": 0.9038, + "step": 344 + }, + { + "epoch": 0.01, + "grad_norm": 1.7199174365268866, + "learning_rate": 5.4160125588697024e-06, + "loss": 0.8496, + "step": 345 + }, + { + "epoch": 0.01, + "grad_norm": 1.433901682820075, + "learning_rate": 5.4317111459968605e-06, + "loss": 0.9082, + "step": 346 + }, + { + "epoch": 0.01, + "grad_norm": 0.8272818658450655, + "learning_rate": 5.447409733124019e-06, + "loss": 0.692, + "step": 347 + }, + { + "epoch": 0.01, + "grad_norm": 1.909943263111769, + "learning_rate": 5.463108320251178e-06, + "loss": 0.7879, + "step": 348 + }, + { + "epoch": 0.01, + "grad_norm": 1.6206476552873772, + "learning_rate": 5.478806907378337e-06, + "loss": 1.0187, + "step": 349 + }, + { + "epoch": 0.01, + "grad_norm": 1.741741113944881, + "learning_rate": 5.494505494505495e-06, + "loss": 0.9185, + "step": 350 + }, + { + "epoch": 0.01, + "grad_norm": 2.4516218249761, + "learning_rate": 5.510204081632653e-06, + "loss": 0.8543, + "step": 351 + }, + { + "epoch": 0.01, + "grad_norm": 1.5721089312782939, + "learning_rate": 5.525902668759811e-06, + "loss": 0.8993, + "step": 352 + }, + { + "epoch": 0.01, + "grad_norm": 1.8759386735297725, + "learning_rate": 5.54160125588697e-06, + "loss": 0.755, + "step": 353 + }, + { + "epoch": 0.01, + "grad_norm": 1.619287696178784, + "learning_rate": 5.557299843014129e-06, + "loss": 0.8892, + "step": 354 + }, + { + "epoch": 0.01, + "grad_norm": 1.6756210773183873, + "learning_rate": 5.572998430141288e-06, + "loss": 0.914, + "step": 355 + }, + { + "epoch": 0.01, + "grad_norm": 2.195814257292635, + "learning_rate": 5.588697017268446e-06, + "loss": 0.8845, + "step": 356 + }, + { + "epoch": 0.01, + "grad_norm": 1.5823767947323466, + "learning_rate": 5.604395604395605e-06, + "loss": 0.8918, + "step": 357 + }, + { + "epoch": 0.01, + "grad_norm": 1.7508455233506104, + "learning_rate": 5.620094191522764e-06, + "loss": 0.8704, + "step": 358 + }, + { + "epoch": 0.01, + "grad_norm": 2.0368147622539543, + "learning_rate": 5.635792778649923e-06, + "loss": 0.8236, + "step": 359 + }, + { + "epoch": 0.01, + "grad_norm": 1.6543836591975936, + "learning_rate": 5.651491365777081e-06, + "loss": 0.806, + "step": 360 + }, + { + "epoch": 0.01, + "grad_norm": 1.8875510535409736, + "learning_rate": 5.6671899529042395e-06, + "loss": 0.9953, + "step": 361 + }, + { + "epoch": 0.01, + "grad_norm": 1.589079057225448, + "learning_rate": 5.682888540031397e-06, + "loss": 0.966, + "step": 362 + }, + { + "epoch": 0.01, + "grad_norm": 2.320606615781571, + "learning_rate": 5.698587127158556e-06, + "loss": 0.8925, + "step": 363 + }, + { + "epoch": 0.01, + "grad_norm": 0.7930569556009263, + "learning_rate": 5.7142857142857145e-06, + "loss": 0.7166, + "step": 364 + }, + { + "epoch": 0.01, + "grad_norm": 2.092620613788071, + "learning_rate": 5.729984301412873e-06, + "loss": 0.9238, + "step": 365 + }, + { + "epoch": 0.01, + "grad_norm": 1.685326633345394, + "learning_rate": 5.7456828885400314e-06, + "loss": 0.8661, + "step": 366 + }, + { + "epoch": 0.01, + "grad_norm": 1.7738979187718995, + "learning_rate": 5.76138147566719e-06, + "loss": 0.8343, + "step": 367 + }, + { + "epoch": 0.01, + "grad_norm": 2.2645852669789943, + "learning_rate": 5.777080062794349e-06, + "loss": 0.8303, + "step": 368 + }, + { + "epoch": 0.01, + "grad_norm": 0.8063381613856929, + "learning_rate": 5.792778649921508e-06, + "loss": 0.7363, + "step": 369 + }, + { + "epoch": 0.01, + "grad_norm": 1.5873720158616547, + "learning_rate": 5.808477237048666e-06, + "loss": 0.9178, + "step": 370 + }, + { + "epoch": 0.01, + "grad_norm": 1.7283231793948184, + "learning_rate": 5.824175824175825e-06, + "loss": 1.0091, + "step": 371 + }, + { + "epoch": 0.01, + "grad_norm": 1.8230443402337704, + "learning_rate": 5.839874411302984e-06, + "loss": 0.8739, + "step": 372 + }, + { + "epoch": 0.01, + "grad_norm": 1.6965537277903686, + "learning_rate": 5.855572998430141e-06, + "loss": 0.8856, + "step": 373 + }, + { + "epoch": 0.01, + "grad_norm": 0.7291942903240501, + "learning_rate": 5.8712715855573e-06, + "loss": 0.6803, + "step": 374 + }, + { + "epoch": 0.01, + "grad_norm": 1.5775537284170178, + "learning_rate": 5.886970172684459e-06, + "loss": 0.7486, + "step": 375 + }, + { + "epoch": 0.01, + "grad_norm": 1.5828036417872406, + "learning_rate": 5.902668759811617e-06, + "loss": 0.9675, + "step": 376 + }, + { + "epoch": 0.01, + "grad_norm": 0.7620527353481854, + "learning_rate": 5.918367346938776e-06, + "loss": 0.7114, + "step": 377 + }, + { + "epoch": 0.01, + "grad_norm": 1.6843804689391384, + "learning_rate": 5.934065934065935e-06, + "loss": 0.7973, + "step": 378 + }, + { + "epoch": 0.01, + "grad_norm": 2.5921379320995936, + "learning_rate": 5.949764521193094e-06, + "loss": 0.9484, + "step": 379 + }, + { + "epoch": 0.01, + "grad_norm": 1.6797777582054125, + "learning_rate": 5.965463108320252e-06, + "loss": 0.9288, + "step": 380 + }, + { + "epoch": 0.01, + "grad_norm": 1.8078914040002656, + "learning_rate": 5.9811616954474105e-06, + "loss": 0.8683, + "step": 381 + }, + { + "epoch": 0.01, + "grad_norm": 1.7639320396071694, + "learning_rate": 5.996860282574569e-06, + "loss": 0.7368, + "step": 382 + }, + { + "epoch": 0.01, + "grad_norm": 1.5626642479846586, + "learning_rate": 6.012558869701728e-06, + "loss": 0.9693, + "step": 383 + }, + { + "epoch": 0.01, + "grad_norm": 1.526458969925365, + "learning_rate": 6.0282574568288855e-06, + "loss": 0.8736, + "step": 384 + }, + { + "epoch": 0.01, + "grad_norm": 2.350325005678273, + "learning_rate": 6.043956043956044e-06, + "loss": 0.8508, + "step": 385 + }, + { + "epoch": 0.01, + "grad_norm": 1.8490473402271852, + "learning_rate": 6.059654631083202e-06, + "loss": 0.7377, + "step": 386 + }, + { + "epoch": 0.01, + "grad_norm": 1.5425303419179717, + "learning_rate": 6.075353218210361e-06, + "loss": 0.9885, + "step": 387 + }, + { + "epoch": 0.01, + "grad_norm": 1.4143159487553159, + "learning_rate": 6.09105180533752e-06, + "loss": 0.9118, + "step": 388 + }, + { + "epoch": 0.01, + "grad_norm": 1.8263138890667472, + "learning_rate": 6.106750392464679e-06, + "loss": 0.8325, + "step": 389 + }, + { + "epoch": 0.01, + "grad_norm": 1.4986753044931902, + "learning_rate": 6.122448979591837e-06, + "loss": 0.8593, + "step": 390 + }, + { + "epoch": 0.01, + "grad_norm": 0.7649679864974134, + "learning_rate": 6.138147566718996e-06, + "loss": 0.8088, + "step": 391 + }, + { + "epoch": 0.01, + "grad_norm": 2.4032479582020456, + "learning_rate": 6.153846153846155e-06, + "loss": 0.848, + "step": 392 + }, + { + "epoch": 0.01, + "grad_norm": 1.584868108700286, + "learning_rate": 6.169544740973314e-06, + "loss": 0.9129, + "step": 393 + }, + { + "epoch": 0.01, + "grad_norm": 1.740978390545799, + "learning_rate": 6.185243328100472e-06, + "loss": 0.8711, + "step": 394 + }, + { + "epoch": 0.01, + "grad_norm": 1.8093697143818332, + "learning_rate": 6.20094191522763e-06, + "loss": 0.9143, + "step": 395 + }, + { + "epoch": 0.01, + "grad_norm": 1.6417134105286975, + "learning_rate": 6.216640502354788e-06, + "loss": 0.7881, + "step": 396 + }, + { + "epoch": 0.01, + "grad_norm": 2.0646920177031713, + "learning_rate": 6.232339089481947e-06, + "loss": 0.7462, + "step": 397 + }, + { + "epoch": 0.01, + "grad_norm": 1.6601798697852992, + "learning_rate": 6.248037676609106e-06, + "loss": 0.9624, + "step": 398 + }, + { + "epoch": 0.01, + "grad_norm": 1.6608988171100363, + "learning_rate": 6.2637362637362645e-06, + "loss": 0.8987, + "step": 399 + }, + { + "epoch": 0.01, + "grad_norm": 1.4580975721363358, + "learning_rate": 6.279434850863423e-06, + "loss": 0.7943, + "step": 400 + }, + { + "epoch": 0.01, + "grad_norm": 1.6097142630303243, + "learning_rate": 6.2951334379905815e-06, + "loss": 0.8632, + "step": 401 + }, + { + "epoch": 0.01, + "grad_norm": 1.5420474408462392, + "learning_rate": 6.31083202511774e-06, + "loss": 0.9384, + "step": 402 + }, + { + "epoch": 0.01, + "grad_norm": 1.6564119668943802, + "learning_rate": 6.326530612244899e-06, + "loss": 0.8469, + "step": 403 + }, + { + "epoch": 0.01, + "grad_norm": 1.7320364887443198, + "learning_rate": 6.342229199372057e-06, + "loss": 0.9235, + "step": 404 + }, + { + "epoch": 0.01, + "grad_norm": 1.5646628404158445, + "learning_rate": 6.357927786499215e-06, + "loss": 0.8423, + "step": 405 + }, + { + "epoch": 0.01, + "grad_norm": 1.9266573214632146, + "learning_rate": 6.373626373626373e-06, + "loss": 0.9803, + "step": 406 + }, + { + "epoch": 0.01, + "grad_norm": 1.4995094172054182, + "learning_rate": 6.389324960753532e-06, + "loss": 0.9555, + "step": 407 + }, + { + "epoch": 0.01, + "grad_norm": 1.5503886125189712, + "learning_rate": 6.405023547880691e-06, + "loss": 0.8772, + "step": 408 + }, + { + "epoch": 0.01, + "grad_norm": 1.6886464994940635, + "learning_rate": 6.42072213500785e-06, + "loss": 0.942, + "step": 409 + }, + { + "epoch": 0.01, + "grad_norm": 1.7054310694304058, + "learning_rate": 6.436420722135008e-06, + "loss": 0.9968, + "step": 410 + }, + { + "epoch": 0.01, + "grad_norm": 1.9840890169572238, + "learning_rate": 6.452119309262167e-06, + "loss": 0.7848, + "step": 411 + }, + { + "epoch": 0.01, + "grad_norm": 1.7569541272820437, + "learning_rate": 6.467817896389326e-06, + "loss": 0.9221, + "step": 412 + }, + { + "epoch": 0.01, + "grad_norm": 1.549123471190071, + "learning_rate": 6.483516483516485e-06, + "loss": 0.9586, + "step": 413 + }, + { + "epoch": 0.01, + "grad_norm": 2.186664611268925, + "learning_rate": 6.499215070643643e-06, + "loss": 0.9596, + "step": 414 + }, + { + "epoch": 0.01, + "grad_norm": 0.7752301488990921, + "learning_rate": 6.514913657770802e-06, + "loss": 0.7226, + "step": 415 + }, + { + "epoch": 0.01, + "grad_norm": 1.776127166382774, + "learning_rate": 6.530612244897959e-06, + "loss": 0.8986, + "step": 416 + }, + { + "epoch": 0.01, + "grad_norm": 1.6249152451608622, + "learning_rate": 6.546310832025118e-06, + "loss": 1.0708, + "step": 417 + }, + { + "epoch": 0.01, + "grad_norm": 1.6233021668098317, + "learning_rate": 6.562009419152277e-06, + "loss": 0.9114, + "step": 418 + }, + { + "epoch": 0.01, + "grad_norm": 3.238035972864371, + "learning_rate": 6.5777080062794355e-06, + "loss": 0.9271, + "step": 419 + }, + { + "epoch": 0.01, + "grad_norm": 1.6713050851916749, + "learning_rate": 6.5934065934065935e-06, + "loss": 1.023, + "step": 420 + }, + { + "epoch": 0.01, + "grad_norm": 0.8259208904366752, + "learning_rate": 6.609105180533752e-06, + "loss": 0.7053, + "step": 421 + }, + { + "epoch": 0.01, + "grad_norm": 2.3865246902635486, + "learning_rate": 6.624803767660911e-06, + "loss": 0.9517, + "step": 422 + }, + { + "epoch": 0.01, + "grad_norm": 1.7048355220597637, + "learning_rate": 6.64050235478807e-06, + "loss": 0.744, + "step": 423 + }, + { + "epoch": 0.01, + "grad_norm": 1.8396980479215188, + "learning_rate": 6.656200941915228e-06, + "loss": 0.8431, + "step": 424 + }, + { + "epoch": 0.01, + "grad_norm": 1.7173456572204306, + "learning_rate": 6.671899529042387e-06, + "loss": 0.8804, + "step": 425 + }, + { + "epoch": 0.01, + "grad_norm": 1.837877768340835, + "learning_rate": 6.687598116169546e-06, + "loss": 0.8395, + "step": 426 + }, + { + "epoch": 0.01, + "grad_norm": 1.763323002776545, + "learning_rate": 6.703296703296703e-06, + "loss": 0.8501, + "step": 427 + }, + { + "epoch": 0.01, + "grad_norm": 1.7594775560718325, + "learning_rate": 6.718995290423862e-06, + "loss": 0.9765, + "step": 428 + }, + { + "epoch": 0.01, + "grad_norm": 1.569919479321543, + "learning_rate": 6.734693877551021e-06, + "loss": 0.8075, + "step": 429 + }, + { + "epoch": 0.01, + "grad_norm": 2.0444447618248476, + "learning_rate": 6.750392464678179e-06, + "loss": 0.8606, + "step": 430 + }, + { + "epoch": 0.01, + "grad_norm": 1.535133805085101, + "learning_rate": 6.766091051805338e-06, + "loss": 0.8853, + "step": 431 + }, + { + "epoch": 0.01, + "grad_norm": 2.7724684051289312, + "learning_rate": 6.781789638932497e-06, + "loss": 0.8539, + "step": 432 + }, + { + "epoch": 0.01, + "grad_norm": 1.556333674304132, + "learning_rate": 6.797488226059656e-06, + "loss": 0.8697, + "step": 433 + }, + { + "epoch": 0.01, + "grad_norm": 1.7700353583253088, + "learning_rate": 6.813186813186814e-06, + "loss": 0.77, + "step": 434 + }, + { + "epoch": 0.01, + "grad_norm": 1.771833833039703, + "learning_rate": 6.828885400313973e-06, + "loss": 0.8227, + "step": 435 + }, + { + "epoch": 0.01, + "grad_norm": 0.7139180100863313, + "learning_rate": 6.8445839874411315e-06, + "loss": 0.6666, + "step": 436 + }, + { + "epoch": 0.01, + "grad_norm": 0.7848408246559564, + "learning_rate": 6.8602825745682895e-06, + "loss": 0.6858, + "step": 437 + }, + { + "epoch": 0.01, + "grad_norm": 2.416169600959562, + "learning_rate": 6.8759811616954476e-06, + "loss": 1.0374, + "step": 438 + }, + { + "epoch": 0.01, + "grad_norm": 1.8184287783546358, + "learning_rate": 6.8916797488226065e-06, + "loss": 0.8749, + "step": 439 + }, + { + "epoch": 0.01, + "grad_norm": 1.8361032096034418, + "learning_rate": 6.9073783359497645e-06, + "loss": 1.0192, + "step": 440 + }, + { + "epoch": 0.01, + "grad_norm": 1.9153853544348582, + "learning_rate": 6.923076923076923e-06, + "loss": 0.8951, + "step": 441 + }, + { + "epoch": 0.01, + "grad_norm": 1.6647157913189576, + "learning_rate": 6.938775510204082e-06, + "loss": 1.067, + "step": 442 + }, + { + "epoch": 0.01, + "grad_norm": 2.0059656563778585, + "learning_rate": 6.954474097331241e-06, + "loss": 0.8625, + "step": 443 + }, + { + "epoch": 0.01, + "grad_norm": 2.152819156851572, + "learning_rate": 6.970172684458399e-06, + "loss": 0.8457, + "step": 444 + }, + { + "epoch": 0.01, + "grad_norm": 1.7657508558152963, + "learning_rate": 6.985871271585558e-06, + "loss": 0.9861, + "step": 445 + }, + { + "epoch": 0.01, + "grad_norm": 1.656904461837766, + "learning_rate": 7.001569858712717e-06, + "loss": 0.7998, + "step": 446 + }, + { + "epoch": 0.01, + "grad_norm": 1.504413267459723, + "learning_rate": 7.017268445839875e-06, + "loss": 0.933, + "step": 447 + }, + { + "epoch": 0.01, + "grad_norm": 1.9210551796392688, + "learning_rate": 7.032967032967034e-06, + "loss": 0.9589, + "step": 448 + }, + { + "epoch": 0.01, + "grad_norm": 1.5772166404208434, + "learning_rate": 7.048665620094192e-06, + "loss": 0.8203, + "step": 449 + }, + { + "epoch": 0.01, + "grad_norm": 1.724448500466887, + "learning_rate": 7.06436420722135e-06, + "loss": 0.9983, + "step": 450 + }, + { + "epoch": 0.01, + "grad_norm": 1.7309950373772045, + "learning_rate": 7.080062794348509e-06, + "loss": 0.8968, + "step": 451 + }, + { + "epoch": 0.01, + "grad_norm": 4.4129981313874005, + "learning_rate": 7.095761381475668e-06, + "loss": 0.9872, + "step": 452 + }, + { + "epoch": 0.01, + "grad_norm": 1.752995586634231, + "learning_rate": 7.111459968602827e-06, + "loss": 0.976, + "step": 453 + }, + { + "epoch": 0.01, + "grad_norm": 1.725323907055808, + "learning_rate": 7.127158555729985e-06, + "loss": 1.0006, + "step": 454 + }, + { + "epoch": 0.01, + "grad_norm": 1.7664192151496099, + "learning_rate": 7.1428571428571436e-06, + "loss": 0.9574, + "step": 455 + }, + { + "epoch": 0.01, + "grad_norm": 1.7163768249761857, + "learning_rate": 7.1585557299843024e-06, + "loss": 0.951, + "step": 456 + }, + { + "epoch": 0.01, + "grad_norm": 1.598374402093358, + "learning_rate": 7.174254317111461e-06, + "loss": 0.852, + "step": 457 + }, + { + "epoch": 0.01, + "grad_norm": 0.8208244036384786, + "learning_rate": 7.189952904238619e-06, + "loss": 0.6907, + "step": 458 + }, + { + "epoch": 0.01, + "grad_norm": 1.6760768984050174, + "learning_rate": 7.205651491365777e-06, + "loss": 0.8569, + "step": 459 + }, + { + "epoch": 0.01, + "grad_norm": 2.0092925740333394, + "learning_rate": 7.2213500784929355e-06, + "loss": 0.995, + "step": 460 + }, + { + "epoch": 0.01, + "grad_norm": 0.7883736604863099, + "learning_rate": 7.237048665620094e-06, + "loss": 0.7286, + "step": 461 + }, + { + "epoch": 0.01, + "grad_norm": 1.6280329033826084, + "learning_rate": 7.252747252747253e-06, + "loss": 0.8743, + "step": 462 + }, + { + "epoch": 0.01, + "grad_norm": 1.7164379893860724, + "learning_rate": 7.268445839874412e-06, + "loss": 0.8919, + "step": 463 + }, + { + "epoch": 0.01, + "grad_norm": 1.5995369906533583, + "learning_rate": 7.28414442700157e-06, + "loss": 0.84, + "step": 464 + }, + { + "epoch": 0.01, + "grad_norm": 1.7463267711777104, + "learning_rate": 7.299843014128729e-06, + "loss": 0.9305, + "step": 465 + }, + { + "epoch": 0.01, + "grad_norm": 1.8346393468604667, + "learning_rate": 7.315541601255888e-06, + "loss": 0.7129, + "step": 466 + }, + { + "epoch": 0.01, + "grad_norm": 1.4946373415783387, + "learning_rate": 7.331240188383047e-06, + "loss": 0.872, + "step": 467 + }, + { + "epoch": 0.01, + "grad_norm": 1.464557671248544, + "learning_rate": 7.346938775510205e-06, + "loss": 0.8593, + "step": 468 + }, + { + "epoch": 0.01, + "grad_norm": 1.7324480908160413, + "learning_rate": 7.362637362637364e-06, + "loss": 0.9436, + "step": 469 + }, + { + "epoch": 0.01, + "grad_norm": 1.655798328393443, + "learning_rate": 7.378335949764521e-06, + "loss": 0.8686, + "step": 470 + }, + { + "epoch": 0.01, + "grad_norm": 1.7361639325551224, + "learning_rate": 7.39403453689168e-06, + "loss": 0.9504, + "step": 471 + }, + { + "epoch": 0.01, + "grad_norm": 1.745242458158335, + "learning_rate": 7.409733124018839e-06, + "loss": 0.9657, + "step": 472 + }, + { + "epoch": 0.01, + "grad_norm": 1.7470337070017374, + "learning_rate": 7.425431711145998e-06, + "loss": 0.8286, + "step": 473 + }, + { + "epoch": 0.01, + "grad_norm": 2.2049139483870195, + "learning_rate": 7.441130298273156e-06, + "loss": 0.9803, + "step": 474 + }, + { + "epoch": 0.01, + "grad_norm": 1.5451164361023129, + "learning_rate": 7.4568288854003145e-06, + "loss": 0.7562, + "step": 475 + }, + { + "epoch": 0.01, + "grad_norm": 0.7607492456824902, + "learning_rate": 7.472527472527473e-06, + "loss": 0.7093, + "step": 476 + }, + { + "epoch": 0.01, + "grad_norm": 1.7298273045124486, + "learning_rate": 7.488226059654632e-06, + "loss": 0.9133, + "step": 477 + }, + { + "epoch": 0.01, + "grad_norm": 1.7383071590418817, + "learning_rate": 7.50392464678179e-06, + "loss": 1.0171, + "step": 478 + }, + { + "epoch": 0.01, + "grad_norm": 1.7980482671725755, + "learning_rate": 7.519623233908949e-06, + "loss": 0.8436, + "step": 479 + }, + { + "epoch": 0.01, + "grad_norm": 1.62840733369174, + "learning_rate": 7.535321821036108e-06, + "loss": 0.932, + "step": 480 + }, + { + "epoch": 0.01, + "grad_norm": 1.5341660864261726, + "learning_rate": 7.551020408163265e-06, + "loss": 0.9077, + "step": 481 + }, + { + "epoch": 0.01, + "grad_norm": 1.5946373275613839, + "learning_rate": 7.566718995290424e-06, + "loss": 0.7736, + "step": 482 + }, + { + "epoch": 0.01, + "grad_norm": 5.78559828429967, + "learning_rate": 7.582417582417583e-06, + "loss": 0.98, + "step": 483 + }, + { + "epoch": 0.01, + "grad_norm": 3.1055305364598147, + "learning_rate": 7.598116169544741e-06, + "loss": 0.8495, + "step": 484 + }, + { + "epoch": 0.01, + "grad_norm": 0.9031031810282559, + "learning_rate": 7.6138147566719e-06, + "loss": 0.6999, + "step": 485 + }, + { + "epoch": 0.01, + "grad_norm": 1.698038769274121, + "learning_rate": 7.629513343799058e-06, + "loss": 1.1025, + "step": 486 + }, + { + "epoch": 0.01, + "grad_norm": 1.9317007444942966, + "learning_rate": 7.645211930926217e-06, + "loss": 0.8246, + "step": 487 + }, + { + "epoch": 0.01, + "grad_norm": 2.5210357983043155, + "learning_rate": 7.660910518053376e-06, + "loss": 0.9141, + "step": 488 + }, + { + "epoch": 0.01, + "grad_norm": 2.14680756301141, + "learning_rate": 7.676609105180535e-06, + "loss": 0.9251, + "step": 489 + }, + { + "epoch": 0.01, + "grad_norm": 0.7661383316773386, + "learning_rate": 7.692307692307694e-06, + "loss": 0.6701, + "step": 490 + }, + { + "epoch": 0.01, + "grad_norm": 1.6264064833675997, + "learning_rate": 7.708006279434852e-06, + "loss": 0.9385, + "step": 491 + }, + { + "epoch": 0.01, + "grad_norm": 1.8934511987280895, + "learning_rate": 7.72370486656201e-06, + "loss": 0.9457, + "step": 492 + }, + { + "epoch": 0.01, + "grad_norm": 1.7584166162063173, + "learning_rate": 7.739403453689169e-06, + "loss": 0.9823, + "step": 493 + }, + { + "epoch": 0.01, + "grad_norm": 1.9182679732803625, + "learning_rate": 7.755102040816327e-06, + "loss": 0.9242, + "step": 494 + }, + { + "epoch": 0.01, + "grad_norm": 0.7587178211340441, + "learning_rate": 7.770800627943486e-06, + "loss": 0.6752, + "step": 495 + }, + { + "epoch": 0.01, + "grad_norm": 1.765042632182092, + "learning_rate": 7.786499215070644e-06, + "loss": 0.9512, + "step": 496 + }, + { + "epoch": 0.01, + "grad_norm": 1.9299977444747187, + "learning_rate": 7.802197802197802e-06, + "loss": 0.6753, + "step": 497 + }, + { + "epoch": 0.01, + "grad_norm": 1.794205256340073, + "learning_rate": 7.817896389324961e-06, + "loss": 0.9878, + "step": 498 + }, + { + "epoch": 0.01, + "grad_norm": 1.8731546120827038, + "learning_rate": 7.83359497645212e-06, + "loss": 0.9227, + "step": 499 + }, + { + "epoch": 0.01, + "grad_norm": 1.4943180925885915, + "learning_rate": 7.849293563579279e-06, + "loss": 0.9621, + "step": 500 + }, + { + "epoch": 0.01, + "grad_norm": 1.6646050681318452, + "learning_rate": 7.864992150706438e-06, + "loss": 1.0709, + "step": 501 + }, + { + "epoch": 0.01, + "grad_norm": 2.352973402870089, + "learning_rate": 7.880690737833597e-06, + "loss": 0.8173, + "step": 502 + }, + { + "epoch": 0.01, + "grad_norm": 1.6607238582303445, + "learning_rate": 7.896389324960754e-06, + "loss": 0.9773, + "step": 503 + }, + { + "epoch": 0.01, + "grad_norm": 1.893593127049003, + "learning_rate": 7.912087912087913e-06, + "loss": 0.9377, + "step": 504 + }, + { + "epoch": 0.01, + "grad_norm": 0.7804591893787941, + "learning_rate": 7.927786499215072e-06, + "loss": 0.6811, + "step": 505 + }, + { + "epoch": 0.01, + "grad_norm": 1.997556881809457, + "learning_rate": 7.943485086342229e-06, + "loss": 0.8894, + "step": 506 + }, + { + "epoch": 0.01, + "grad_norm": 2.584119180205275, + "learning_rate": 7.959183673469388e-06, + "loss": 0.9232, + "step": 507 + }, + { + "epoch": 0.01, + "grad_norm": 1.5724653392431813, + "learning_rate": 7.974882260596547e-06, + "loss": 0.9246, + "step": 508 + }, + { + "epoch": 0.01, + "grad_norm": 1.7381060401476487, + "learning_rate": 7.990580847723706e-06, + "loss": 0.8955, + "step": 509 + }, + { + "epoch": 0.01, + "grad_norm": 1.5928208391699712, + "learning_rate": 8.006279434850865e-06, + "loss": 0.9379, + "step": 510 + }, + { + "epoch": 0.01, + "grad_norm": 1.5809674397971334, + "learning_rate": 8.021978021978023e-06, + "loss": 0.9242, + "step": 511 + }, + { + "epoch": 0.01, + "grad_norm": 0.8621850977430828, + "learning_rate": 8.037676609105182e-06, + "loss": 0.7012, + "step": 512 + }, + { + "epoch": 0.01, + "grad_norm": 1.6600539395418399, + "learning_rate": 8.05337519623234e-06, + "loss": 0.8961, + "step": 513 + }, + { + "epoch": 0.01, + "grad_norm": 1.847102838159444, + "learning_rate": 8.069073783359498e-06, + "loss": 0.9949, + "step": 514 + }, + { + "epoch": 0.01, + "grad_norm": 0.7764552450136993, + "learning_rate": 8.084772370486657e-06, + "loss": 0.7456, + "step": 515 + }, + { + "epoch": 0.01, + "grad_norm": 2.528900285576021, + "learning_rate": 8.100470957613814e-06, + "loss": 0.8459, + "step": 516 + }, + { + "epoch": 0.01, + "grad_norm": 1.7267994365632204, + "learning_rate": 8.116169544740973e-06, + "loss": 1.1412, + "step": 517 + }, + { + "epoch": 0.01, + "grad_norm": 1.6945218025522784, + "learning_rate": 8.131868131868132e-06, + "loss": 0.9885, + "step": 518 + }, + { + "epoch": 0.01, + "grad_norm": 1.8357194121671145, + "learning_rate": 8.147566718995291e-06, + "loss": 0.8011, + "step": 519 + }, + { + "epoch": 0.01, + "grad_norm": 1.8753842562179937, + "learning_rate": 8.16326530612245e-06, + "loss": 0.8505, + "step": 520 + }, + { + "epoch": 0.01, + "grad_norm": 1.6197259978686163, + "learning_rate": 8.178963893249609e-06, + "loss": 0.9445, + "step": 521 + }, + { + "epoch": 0.01, + "grad_norm": 2.008305828118052, + "learning_rate": 8.194662480376768e-06, + "loss": 0.8333, + "step": 522 + }, + { + "epoch": 0.01, + "grad_norm": 1.7021338281439498, + "learning_rate": 8.210361067503925e-06, + "loss": 0.8684, + "step": 523 + }, + { + "epoch": 0.01, + "grad_norm": 0.8061075361300492, + "learning_rate": 8.226059654631084e-06, + "loss": 0.671, + "step": 524 + }, + { + "epoch": 0.01, + "grad_norm": 0.7721356080280418, + "learning_rate": 8.241758241758243e-06, + "loss": 0.6738, + "step": 525 + }, + { + "epoch": 0.01, + "grad_norm": 0.7551241999943503, + "learning_rate": 8.2574568288854e-06, + "loss": 0.668, + "step": 526 + }, + { + "epoch": 0.01, + "grad_norm": 1.7636597017324074, + "learning_rate": 8.273155416012559e-06, + "loss": 0.9509, + "step": 527 + }, + { + "epoch": 0.01, + "grad_norm": 1.5611216730986053, + "learning_rate": 8.288854003139718e-06, + "loss": 0.8016, + "step": 528 + }, + { + "epoch": 0.01, + "grad_norm": 1.725184759870583, + "learning_rate": 8.304552590266877e-06, + "loss": 0.8585, + "step": 529 + }, + { + "epoch": 0.01, + "grad_norm": 1.8220371871242451, + "learning_rate": 8.320251177394036e-06, + "loss": 0.8002, + "step": 530 + }, + { + "epoch": 0.01, + "grad_norm": 1.897685164456066, + "learning_rate": 8.335949764521194e-06, + "loss": 0.9254, + "step": 531 + }, + { + "epoch": 0.01, + "grad_norm": 1.5927531570823628, + "learning_rate": 8.351648351648353e-06, + "loss": 0.9869, + "step": 532 + }, + { + "epoch": 0.01, + "grad_norm": 1.6954332201545355, + "learning_rate": 8.36734693877551e-06, + "loss": 1.0514, + "step": 533 + }, + { + "epoch": 0.01, + "grad_norm": 4.62497536594888, + "learning_rate": 8.38304552590267e-06, + "loss": 0.9918, + "step": 534 + }, + { + "epoch": 0.01, + "grad_norm": 1.5873590281098113, + "learning_rate": 8.398744113029828e-06, + "loss": 0.8855, + "step": 535 + }, + { + "epoch": 0.01, + "grad_norm": 1.8283073712778697, + "learning_rate": 8.414442700156985e-06, + "loss": 0.9472, + "step": 536 + }, + { + "epoch": 0.01, + "grad_norm": 1.6125298369716612, + "learning_rate": 8.430141287284144e-06, + "loss": 0.9423, + "step": 537 + }, + { + "epoch": 0.01, + "grad_norm": 1.7481888228594835, + "learning_rate": 8.445839874411303e-06, + "loss": 0.9483, + "step": 538 + }, + { + "epoch": 0.01, + "grad_norm": 1.7661350957231459, + "learning_rate": 8.461538461538462e-06, + "loss": 0.9292, + "step": 539 + }, + { + "epoch": 0.01, + "grad_norm": 1.5782359258965057, + "learning_rate": 8.477237048665621e-06, + "loss": 0.86, + "step": 540 + }, + { + "epoch": 0.01, + "grad_norm": 1.802124557380052, + "learning_rate": 8.49293563579278e-06, + "loss": 0.9411, + "step": 541 + }, + { + "epoch": 0.01, + "grad_norm": 2.290082176548404, + "learning_rate": 8.508634222919939e-06, + "loss": 0.9422, + "step": 542 + }, + { + "epoch": 0.01, + "grad_norm": 2.011572238589142, + "learning_rate": 8.524332810047096e-06, + "loss": 0.8607, + "step": 543 + }, + { + "epoch": 0.01, + "grad_norm": 1.7658557253179936, + "learning_rate": 8.540031397174255e-06, + "loss": 1.0086, + "step": 544 + }, + { + "epoch": 0.01, + "grad_norm": 2.150213637179915, + "learning_rate": 8.555729984301414e-06, + "loss": 0.9659, + "step": 545 + }, + { + "epoch": 0.01, + "grad_norm": 1.7272666902054692, + "learning_rate": 8.571428571428571e-06, + "loss": 0.9548, + "step": 546 + }, + { + "epoch": 0.01, + "grad_norm": 1.7416279341799001, + "learning_rate": 8.58712715855573e-06, + "loss": 0.8756, + "step": 547 + }, + { + "epoch": 0.01, + "grad_norm": 1.6999591910819427, + "learning_rate": 8.602825745682889e-06, + "loss": 1.0288, + "step": 548 + }, + { + "epoch": 0.01, + "grad_norm": 1.6050377314176134, + "learning_rate": 8.618524332810048e-06, + "loss": 0.9281, + "step": 549 + }, + { + "epoch": 0.01, + "grad_norm": 2.524974104198204, + "learning_rate": 8.634222919937206e-06, + "loss": 0.944, + "step": 550 + }, + { + "epoch": 0.01, + "grad_norm": 1.6840002816597013, + "learning_rate": 8.649921507064365e-06, + "loss": 0.8472, + "step": 551 + }, + { + "epoch": 0.01, + "grad_norm": 1.739747072433568, + "learning_rate": 8.665620094191524e-06, + "loss": 0.8641, + "step": 552 + }, + { + "epoch": 0.01, + "grad_norm": 0.7855446440003131, + "learning_rate": 8.681318681318681e-06, + "loss": 0.717, + "step": 553 + }, + { + "epoch": 0.01, + "grad_norm": 1.865064089052186, + "learning_rate": 8.69701726844584e-06, + "loss": 0.9664, + "step": 554 + }, + { + "epoch": 0.01, + "grad_norm": 0.7729105283050764, + "learning_rate": 8.712715855573e-06, + "loss": 0.7365, + "step": 555 + }, + { + "epoch": 0.01, + "grad_norm": 1.6370706716537786, + "learning_rate": 8.728414442700158e-06, + "loss": 0.9142, + "step": 556 + }, + { + "epoch": 0.01, + "grad_norm": 1.8064247893751555, + "learning_rate": 8.744113029827315e-06, + "loss": 1.0017, + "step": 557 + }, + { + "epoch": 0.01, + "grad_norm": 1.7095998919557753, + "learning_rate": 8.759811616954474e-06, + "loss": 0.9939, + "step": 558 + }, + { + "epoch": 0.01, + "grad_norm": 0.7786156741653569, + "learning_rate": 8.775510204081633e-06, + "loss": 0.7083, + "step": 559 + }, + { + "epoch": 0.01, + "grad_norm": 1.704319213474312, + "learning_rate": 8.791208791208792e-06, + "loss": 0.7969, + "step": 560 + }, + { + "epoch": 0.01, + "grad_norm": 2.3487608953246037, + "learning_rate": 8.80690737833595e-06, + "loss": 0.753, + "step": 561 + }, + { + "epoch": 0.01, + "grad_norm": 1.785803839421554, + "learning_rate": 8.82260596546311e-06, + "loss": 0.9363, + "step": 562 + }, + { + "epoch": 0.01, + "grad_norm": 1.7229176782163969, + "learning_rate": 8.838304552590269e-06, + "loss": 0.9327, + "step": 563 + }, + { + "epoch": 0.01, + "grad_norm": 1.5198339300869335, + "learning_rate": 8.854003139717426e-06, + "loss": 0.9624, + "step": 564 + }, + { + "epoch": 0.01, + "grad_norm": 1.8810798693506836, + "learning_rate": 8.869701726844585e-06, + "loss": 0.8733, + "step": 565 + }, + { + "epoch": 0.01, + "grad_norm": 0.7335084916993988, + "learning_rate": 8.885400313971744e-06, + "loss": 0.7066, + "step": 566 + }, + { + "epoch": 0.01, + "grad_norm": 2.0188803158113395, + "learning_rate": 8.9010989010989e-06, + "loss": 0.8495, + "step": 567 + }, + { + "epoch": 0.01, + "grad_norm": 1.7096797301634759, + "learning_rate": 8.91679748822606e-06, + "loss": 0.8534, + "step": 568 + }, + { + "epoch": 0.01, + "grad_norm": 1.9376800517679587, + "learning_rate": 8.932496075353219e-06, + "loss": 0.9367, + "step": 569 + }, + { + "epoch": 0.01, + "grad_norm": 1.664721655831306, + "learning_rate": 8.948194662480377e-06, + "loss": 0.8498, + "step": 570 + }, + { + "epoch": 0.01, + "grad_norm": 0.7960714593143557, + "learning_rate": 8.963893249607536e-06, + "loss": 0.7565, + "step": 571 + }, + { + "epoch": 0.01, + "grad_norm": 1.9232395760611778, + "learning_rate": 8.979591836734695e-06, + "loss": 0.9612, + "step": 572 + }, + { + "epoch": 0.01, + "grad_norm": 3.6877195503222526, + "learning_rate": 8.995290423861854e-06, + "loss": 0.8487, + "step": 573 + }, + { + "epoch": 0.01, + "grad_norm": 2.0712367607731825, + "learning_rate": 9.010989010989011e-06, + "loss": 0.9176, + "step": 574 + }, + { + "epoch": 0.01, + "grad_norm": 1.7860686090616789, + "learning_rate": 9.02668759811617e-06, + "loss": 0.9292, + "step": 575 + }, + { + "epoch": 0.01, + "grad_norm": 2.057613777486309, + "learning_rate": 9.042386185243329e-06, + "loss": 0.7435, + "step": 576 + }, + { + "epoch": 0.01, + "grad_norm": 1.8753793510871055, + "learning_rate": 9.058084772370488e-06, + "loss": 0.9771, + "step": 577 + }, + { + "epoch": 0.01, + "grad_norm": 1.8219091369458924, + "learning_rate": 9.073783359497645e-06, + "loss": 0.9468, + "step": 578 + }, + { + "epoch": 0.01, + "grad_norm": 1.8745626720483641, + "learning_rate": 9.089481946624804e-06, + "loss": 0.9258, + "step": 579 + }, + { + "epoch": 0.01, + "grad_norm": 0.8103442993864878, + "learning_rate": 9.105180533751963e-06, + "loss": 0.7582, + "step": 580 + }, + { + "epoch": 0.01, + "grad_norm": 1.5892727147479648, + "learning_rate": 9.120879120879122e-06, + "loss": 0.9593, + "step": 581 + }, + { + "epoch": 0.01, + "grad_norm": 1.8761300501580898, + "learning_rate": 9.13657770800628e-06, + "loss": 0.8909, + "step": 582 + }, + { + "epoch": 0.01, + "grad_norm": 1.702051418241563, + "learning_rate": 9.15227629513344e-06, + "loss": 0.948, + "step": 583 + }, + { + "epoch": 0.01, + "grad_norm": 1.8450408946393135, + "learning_rate": 9.167974882260597e-06, + "loss": 0.889, + "step": 584 + }, + { + "epoch": 0.01, + "grad_norm": 1.8199034357728308, + "learning_rate": 9.183673469387756e-06, + "loss": 0.8401, + "step": 585 + }, + { + "epoch": 0.01, + "grad_norm": 1.9952762031897984, + "learning_rate": 9.199372056514915e-06, + "loss": 0.9097, + "step": 586 + }, + { + "epoch": 0.01, + "grad_norm": 1.7097397568419486, + "learning_rate": 9.215070643642073e-06, + "loss": 0.8959, + "step": 587 + }, + { + "epoch": 0.01, + "grad_norm": 2.0479601466780846, + "learning_rate": 9.230769230769232e-06, + "loss": 0.9188, + "step": 588 + }, + { + "epoch": 0.01, + "grad_norm": 1.646902997127537, + "learning_rate": 9.24646781789639e-06, + "loss": 0.9438, + "step": 589 + }, + { + "epoch": 0.01, + "grad_norm": 1.8622725329701275, + "learning_rate": 9.262166405023548e-06, + "loss": 0.866, + "step": 590 + }, + { + "epoch": 0.01, + "grad_norm": 1.5251311127300358, + "learning_rate": 9.277864992150707e-06, + "loss": 0.7382, + "step": 591 + }, + { + "epoch": 0.01, + "grad_norm": 3.8469817722246833, + "learning_rate": 9.293563579277866e-06, + "loss": 1.052, + "step": 592 + }, + { + "epoch": 0.01, + "grad_norm": 1.5482754223074802, + "learning_rate": 9.309262166405025e-06, + "loss": 0.8695, + "step": 593 + }, + { + "epoch": 0.01, + "grad_norm": 1.551913115133504, + "learning_rate": 9.324960753532182e-06, + "loss": 0.7833, + "step": 594 + }, + { + "epoch": 0.01, + "grad_norm": 1.8818214672801212, + "learning_rate": 9.340659340659341e-06, + "loss": 1.0383, + "step": 595 + }, + { + "epoch": 0.01, + "grad_norm": 1.47937331066311, + "learning_rate": 9.3563579277865e-06, + "loss": 0.8123, + "step": 596 + }, + { + "epoch": 0.01, + "grad_norm": 3.8771892070731555, + "learning_rate": 9.372056514913659e-06, + "loss": 0.9037, + "step": 597 + }, + { + "epoch": 0.01, + "grad_norm": 1.8413088594498161, + "learning_rate": 9.387755102040818e-06, + "loss": 0.747, + "step": 598 + }, + { + "epoch": 0.01, + "grad_norm": 1.609872939270583, + "learning_rate": 9.403453689167977e-06, + "loss": 0.8763, + "step": 599 + }, + { + "epoch": 0.01, + "grad_norm": 2.1728295606131436, + "learning_rate": 9.419152276295134e-06, + "loss": 0.8816, + "step": 600 + }, + { + "epoch": 0.01, + "grad_norm": 1.6318842960542583, + "learning_rate": 9.434850863422293e-06, + "loss": 0.8991, + "step": 601 + }, + { + "epoch": 0.01, + "grad_norm": 1.785653289476675, + "learning_rate": 9.450549450549452e-06, + "loss": 0.8985, + "step": 602 + }, + { + "epoch": 0.01, + "grad_norm": 2.971048406907077, + "learning_rate": 9.46624803767661e-06, + "loss": 0.7507, + "step": 603 + }, + { + "epoch": 0.01, + "grad_norm": 1.8561546107578277, + "learning_rate": 9.481946624803768e-06, + "loss": 0.8182, + "step": 604 + }, + { + "epoch": 0.01, + "grad_norm": 1.6296081720134037, + "learning_rate": 9.497645211930927e-06, + "loss": 0.8974, + "step": 605 + }, + { + "epoch": 0.01, + "grad_norm": 1.5612294966097597, + "learning_rate": 9.513343799058085e-06, + "loss": 0.8808, + "step": 606 + }, + { + "epoch": 0.01, + "grad_norm": 1.3510426309347863, + "learning_rate": 9.529042386185244e-06, + "loss": 0.9465, + "step": 607 + }, + { + "epoch": 0.01, + "grad_norm": 3.275243146477986, + "learning_rate": 9.544740973312403e-06, + "loss": 0.8372, + "step": 608 + }, + { + "epoch": 0.01, + "grad_norm": 1.6622897056716104, + "learning_rate": 9.560439560439562e-06, + "loss": 0.932, + "step": 609 + }, + { + "epoch": 0.01, + "grad_norm": 1.5695538107714757, + "learning_rate": 9.576138147566721e-06, + "loss": 0.9826, + "step": 610 + }, + { + "epoch": 0.01, + "grad_norm": 1.6584489156190314, + "learning_rate": 9.591836734693878e-06, + "loss": 0.8776, + "step": 611 + }, + { + "epoch": 0.01, + "grad_norm": 1.6982911707578157, + "learning_rate": 9.607535321821037e-06, + "loss": 0.8542, + "step": 612 + }, + { + "epoch": 0.01, + "grad_norm": 3.7942281248556102, + "learning_rate": 9.623233908948196e-06, + "loss": 0.9432, + "step": 613 + }, + { + "epoch": 0.01, + "grad_norm": 1.888862545195381, + "learning_rate": 9.638932496075353e-06, + "loss": 0.8074, + "step": 614 + }, + { + "epoch": 0.01, + "grad_norm": 1.7674383625374355, + "learning_rate": 9.654631083202512e-06, + "loss": 0.9058, + "step": 615 + }, + { + "epoch": 0.01, + "grad_norm": 2.4645705448097655, + "learning_rate": 9.670329670329671e-06, + "loss": 1.1416, + "step": 616 + }, + { + "epoch": 0.01, + "grad_norm": 1.7113773988382346, + "learning_rate": 9.68602825745683e-06, + "loss": 0.8347, + "step": 617 + }, + { + "epoch": 0.01, + "grad_norm": 1.6423599727514364, + "learning_rate": 9.701726844583989e-06, + "loss": 1.0244, + "step": 618 + }, + { + "epoch": 0.01, + "grad_norm": 1.5995073963167783, + "learning_rate": 9.717425431711148e-06, + "loss": 0.8275, + "step": 619 + }, + { + "epoch": 0.01, + "grad_norm": 1.605113478882301, + "learning_rate": 9.733124018838307e-06, + "loss": 0.8929, + "step": 620 + }, + { + "epoch": 0.01, + "grad_norm": 0.7745799953096707, + "learning_rate": 9.748822605965464e-06, + "loss": 0.7041, + "step": 621 + }, + { + "epoch": 0.01, + "grad_norm": 2.054745787048315, + "learning_rate": 9.764521193092623e-06, + "loss": 0.9183, + "step": 622 + }, + { + "epoch": 0.01, + "grad_norm": 1.6696062974077617, + "learning_rate": 9.780219780219781e-06, + "loss": 0.9189, + "step": 623 + }, + { + "epoch": 0.01, + "grad_norm": 2.618096797505277, + "learning_rate": 9.795918367346939e-06, + "loss": 0.8715, + "step": 624 + }, + { + "epoch": 0.01, + "grad_norm": 2.2421876762179065, + "learning_rate": 9.811616954474098e-06, + "loss": 0.924, + "step": 625 + }, + { + "epoch": 0.01, + "grad_norm": 2.234466951675743, + "learning_rate": 9.827315541601256e-06, + "loss": 0.9957, + "step": 626 + }, + { + "epoch": 0.01, + "grad_norm": 1.6164487297722485, + "learning_rate": 9.843014128728415e-06, + "loss": 0.795, + "step": 627 + }, + { + "epoch": 0.01, + "grad_norm": 1.7964806738212102, + "learning_rate": 9.858712715855574e-06, + "loss": 0.7828, + "step": 628 + }, + { + "epoch": 0.01, + "grad_norm": 2.0643042255641215, + "learning_rate": 9.874411302982733e-06, + "loss": 0.8833, + "step": 629 + }, + { + "epoch": 0.01, + "grad_norm": 2.522523554344303, + "learning_rate": 9.890109890109892e-06, + "loss": 0.8294, + "step": 630 + }, + { + "epoch": 0.01, + "grad_norm": 1.763137648600385, + "learning_rate": 9.90580847723705e-06, + "loss": 0.9382, + "step": 631 + }, + { + "epoch": 0.01, + "grad_norm": 1.9601445733321623, + "learning_rate": 9.921507064364208e-06, + "loss": 0.8453, + "step": 632 + }, + { + "epoch": 0.01, + "grad_norm": 2.0234299260247637, + "learning_rate": 9.937205651491367e-06, + "loss": 0.8457, + "step": 633 + }, + { + "epoch": 0.01, + "grad_norm": 1.4667730647750183, + "learning_rate": 9.952904238618524e-06, + "loss": 0.8317, + "step": 634 + }, + { + "epoch": 0.01, + "grad_norm": 5.452586276083112, + "learning_rate": 9.968602825745683e-06, + "loss": 0.8379, + "step": 635 + }, + { + "epoch": 0.01, + "grad_norm": 3.6405841747863734, + "learning_rate": 9.984301412872842e-06, + "loss": 0.9103, + "step": 636 + }, + { + "epoch": 0.02, + "grad_norm": 1.9332977377803082, + "learning_rate": 1e-05, + "loss": 0.9155, + "step": 637 + }, + { + "epoch": 0.02, + "grad_norm": 1.6389472394245084, + "learning_rate": 1.0015698587127158e-05, + "loss": 0.7657, + "step": 638 + }, + { + "epoch": 0.02, + "grad_norm": 2.1302738615602004, + "learning_rate": 1.0031397174254319e-05, + "loss": 0.8999, + "step": 639 + }, + { + "epoch": 0.02, + "grad_norm": 1.7019042372618038, + "learning_rate": 1.0047095761381476e-05, + "loss": 0.7464, + "step": 640 + }, + { + "epoch": 0.02, + "grad_norm": 1.6034876161080915, + "learning_rate": 1.0062794348508635e-05, + "loss": 0.9165, + "step": 641 + }, + { + "epoch": 0.02, + "grad_norm": 1.753497405518127, + "learning_rate": 1.0078492935635794e-05, + "loss": 0.9022, + "step": 642 + }, + { + "epoch": 0.02, + "grad_norm": 1.8054143317647386, + "learning_rate": 1.0094191522762952e-05, + "loss": 0.9318, + "step": 643 + }, + { + "epoch": 0.02, + "grad_norm": 1.6675520843483518, + "learning_rate": 1.010989010989011e-05, + "loss": 0.8472, + "step": 644 + }, + { + "epoch": 0.02, + "grad_norm": 1.5807680887426643, + "learning_rate": 1.012558869701727e-05, + "loss": 0.8723, + "step": 645 + }, + { + "epoch": 0.02, + "grad_norm": 1.6767568314704402, + "learning_rate": 1.0141287284144427e-05, + "loss": 0.9032, + "step": 646 + }, + { + "epoch": 0.02, + "grad_norm": 1.6352344225341837, + "learning_rate": 1.0156985871271588e-05, + "loss": 1.0247, + "step": 647 + }, + { + "epoch": 0.02, + "grad_norm": 1.6065320107869088, + "learning_rate": 1.0172684458398745e-05, + "loss": 0.8405, + "step": 648 + }, + { + "epoch": 0.02, + "grad_norm": 1.7823561742598357, + "learning_rate": 1.0188383045525902e-05, + "loss": 0.8871, + "step": 649 + }, + { + "epoch": 0.02, + "grad_norm": 1.5920715455972898, + "learning_rate": 1.0204081632653063e-05, + "loss": 0.9287, + "step": 650 + }, + { + "epoch": 0.02, + "grad_norm": 1.5926341182490724, + "learning_rate": 1.021978021978022e-05, + "loss": 0.9799, + "step": 651 + }, + { + "epoch": 0.02, + "grad_norm": 1.766861210543239, + "learning_rate": 1.0235478806907379e-05, + "loss": 0.933, + "step": 652 + }, + { + "epoch": 0.02, + "grad_norm": 1.671626513148731, + "learning_rate": 1.0251177394034538e-05, + "loss": 0.9523, + "step": 653 + }, + { + "epoch": 0.02, + "grad_norm": 0.7119320888339993, + "learning_rate": 1.0266875981161697e-05, + "loss": 0.6892, + "step": 654 + }, + { + "epoch": 0.02, + "grad_norm": 1.5048995715038331, + "learning_rate": 1.0282574568288854e-05, + "loss": 1.0159, + "step": 655 + }, + { + "epoch": 0.02, + "grad_norm": 1.5677748271029295, + "learning_rate": 1.0298273155416015e-05, + "loss": 0.9711, + "step": 656 + }, + { + "epoch": 0.02, + "grad_norm": 1.6702330529070082, + "learning_rate": 1.0313971742543172e-05, + "loss": 0.8788, + "step": 657 + }, + { + "epoch": 0.02, + "grad_norm": 2.0982739005232887, + "learning_rate": 1.0329670329670332e-05, + "loss": 0.9036, + "step": 658 + }, + { + "epoch": 0.02, + "grad_norm": 1.9200774857798155, + "learning_rate": 1.034536891679749e-05, + "loss": 0.9498, + "step": 659 + }, + { + "epoch": 0.02, + "grad_norm": 1.8912641529785001, + "learning_rate": 1.0361067503924647e-05, + "loss": 0.9181, + "step": 660 + }, + { + "epoch": 0.02, + "grad_norm": 1.7089229642358827, + "learning_rate": 1.0376766091051806e-05, + "loss": 0.7837, + "step": 661 + }, + { + "epoch": 0.02, + "grad_norm": 3.2495290725847923, + "learning_rate": 1.0392464678178965e-05, + "loss": 0.985, + "step": 662 + }, + { + "epoch": 0.02, + "grad_norm": 1.7139664787449378, + "learning_rate": 1.0408163265306123e-05, + "loss": 0.8392, + "step": 663 + }, + { + "epoch": 0.02, + "grad_norm": 1.6072592712253382, + "learning_rate": 1.042386185243328e-05, + "loss": 0.9326, + "step": 664 + }, + { + "epoch": 0.02, + "grad_norm": 2.015628950377708, + "learning_rate": 1.0439560439560441e-05, + "loss": 0.9109, + "step": 665 + }, + { + "epoch": 0.02, + "grad_norm": 2.108458081249242, + "learning_rate": 1.0455259026687598e-05, + "loss": 0.7885, + "step": 666 + }, + { + "epoch": 0.02, + "grad_norm": 1.6501759303941352, + "learning_rate": 1.0470957613814759e-05, + "loss": 0.9109, + "step": 667 + }, + { + "epoch": 0.02, + "grad_norm": 2.0382660418124376, + "learning_rate": 1.0486656200941916e-05, + "loss": 0.8646, + "step": 668 + }, + { + "epoch": 0.02, + "grad_norm": 1.620788321802992, + "learning_rate": 1.0502354788069075e-05, + "loss": 0.895, + "step": 669 + }, + { + "epoch": 0.02, + "grad_norm": 1.9542639030514497, + "learning_rate": 1.0518053375196234e-05, + "loss": 1.0031, + "step": 670 + }, + { + "epoch": 0.02, + "grad_norm": 1.8742719079156822, + "learning_rate": 1.0533751962323391e-05, + "loss": 0.8766, + "step": 671 + }, + { + "epoch": 0.02, + "grad_norm": 1.8997371718697715, + "learning_rate": 1.054945054945055e-05, + "loss": 0.9136, + "step": 672 + }, + { + "epoch": 0.02, + "grad_norm": 1.803133847548563, + "learning_rate": 1.0565149136577709e-05, + "loss": 0.9153, + "step": 673 + }, + { + "epoch": 0.02, + "grad_norm": 1.661876496208474, + "learning_rate": 1.0580847723704868e-05, + "loss": 0.8659, + "step": 674 + }, + { + "epoch": 0.02, + "grad_norm": 1.5546211883810626, + "learning_rate": 1.0596546310832025e-05, + "loss": 0.7539, + "step": 675 + }, + { + "epoch": 0.02, + "grad_norm": 0.818865518504498, + "learning_rate": 1.0612244897959186e-05, + "loss": 0.7735, + "step": 676 + }, + { + "epoch": 0.02, + "grad_norm": 1.606172567551492, + "learning_rate": 1.0627943485086343e-05, + "loss": 0.9729, + "step": 677 + }, + { + "epoch": 0.02, + "grad_norm": 1.8637354540713988, + "learning_rate": 1.0643642072213503e-05, + "loss": 0.9983, + "step": 678 + }, + { + "epoch": 0.02, + "grad_norm": 1.6858206907425506, + "learning_rate": 1.065934065934066e-05, + "loss": 0.9535, + "step": 679 + }, + { + "epoch": 0.02, + "grad_norm": 1.7645334657297347, + "learning_rate": 1.067503924646782e-05, + "loss": 0.8649, + "step": 680 + }, + { + "epoch": 0.02, + "grad_norm": 1.8781449563212127, + "learning_rate": 1.0690737833594977e-05, + "loss": 1.0092, + "step": 681 + }, + { + "epoch": 0.02, + "grad_norm": 2.238974953062295, + "learning_rate": 1.0706436420722135e-05, + "loss": 0.835, + "step": 682 + }, + { + "epoch": 0.02, + "grad_norm": 1.828725997576094, + "learning_rate": 1.0722135007849294e-05, + "loss": 0.915, + "step": 683 + }, + { + "epoch": 0.02, + "grad_norm": 1.646893666485531, + "learning_rate": 1.0737833594976452e-05, + "loss": 0.9376, + "step": 684 + }, + { + "epoch": 0.02, + "grad_norm": 1.7511646895848352, + "learning_rate": 1.0753532182103612e-05, + "loss": 0.9489, + "step": 685 + }, + { + "epoch": 0.02, + "grad_norm": 1.8146951286773436, + "learning_rate": 1.076923076923077e-05, + "loss": 0.9233, + "step": 686 + }, + { + "epoch": 0.02, + "grad_norm": 1.8037570810056633, + "learning_rate": 1.078492935635793e-05, + "loss": 0.6787, + "step": 687 + }, + { + "epoch": 0.02, + "grad_norm": 1.464079752529571, + "learning_rate": 1.0800627943485087e-05, + "loss": 0.9376, + "step": 688 + }, + { + "epoch": 0.02, + "grad_norm": 1.3960339160644273, + "learning_rate": 1.0816326530612246e-05, + "loss": 0.9534, + "step": 689 + }, + { + "epoch": 0.02, + "grad_norm": 1.725932709634153, + "learning_rate": 1.0832025117739405e-05, + "loss": 0.867, + "step": 690 + }, + { + "epoch": 0.02, + "grad_norm": 1.6983744287600993, + "learning_rate": 1.0847723704866562e-05, + "loss": 0.8968, + "step": 691 + }, + { + "epoch": 0.02, + "grad_norm": 1.6827401688185513, + "learning_rate": 1.0863422291993721e-05, + "loss": 1.0619, + "step": 692 + }, + { + "epoch": 0.02, + "grad_norm": 0.8086948702455796, + "learning_rate": 1.087912087912088e-05, + "loss": 0.7514, + "step": 693 + }, + { + "epoch": 0.02, + "grad_norm": 2.231151555527415, + "learning_rate": 1.0894819466248039e-05, + "loss": 1.0178, + "step": 694 + }, + { + "epoch": 0.02, + "grad_norm": 1.913672104365935, + "learning_rate": 1.0910518053375196e-05, + "loss": 0.9129, + "step": 695 + }, + { + "epoch": 0.02, + "grad_norm": 2.0591420704146386, + "learning_rate": 1.0926216640502357e-05, + "loss": 0.7516, + "step": 696 + }, + { + "epoch": 0.02, + "grad_norm": 1.7164951800094832, + "learning_rate": 1.0941915227629514e-05, + "loss": 0.9808, + "step": 697 + }, + { + "epoch": 0.02, + "grad_norm": 1.7303751878391527, + "learning_rate": 1.0957613814756674e-05, + "loss": 0.8973, + "step": 698 + }, + { + "epoch": 0.02, + "grad_norm": 1.7100914853427964, + "learning_rate": 1.0973312401883831e-05, + "loss": 0.8474, + "step": 699 + }, + { + "epoch": 0.02, + "grad_norm": 0.7829106828271576, + "learning_rate": 1.098901098901099e-05, + "loss": 0.7011, + "step": 700 + }, + { + "epoch": 0.02, + "grad_norm": 1.7349706463595538, + "learning_rate": 1.1004709576138148e-05, + "loss": 0.918, + "step": 701 + }, + { + "epoch": 0.02, + "grad_norm": 1.6862607074585254, + "learning_rate": 1.1020408163265306e-05, + "loss": 1.0434, + "step": 702 + }, + { + "epoch": 0.02, + "grad_norm": 1.7355236921437933, + "learning_rate": 1.1036106750392465e-05, + "loss": 0.7862, + "step": 703 + }, + { + "epoch": 0.02, + "grad_norm": 1.892090411016933, + "learning_rate": 1.1051805337519623e-05, + "loss": 0.903, + "step": 704 + }, + { + "epoch": 0.02, + "grad_norm": 0.7554037638635003, + "learning_rate": 1.1067503924646783e-05, + "loss": 0.6653, + "step": 705 + }, + { + "epoch": 0.02, + "grad_norm": 1.7915847074994495, + "learning_rate": 1.108320251177394e-05, + "loss": 0.8992, + "step": 706 + }, + { + "epoch": 0.02, + "grad_norm": 1.859164242591878, + "learning_rate": 1.1098901098901101e-05, + "loss": 0.9364, + "step": 707 + }, + { + "epoch": 0.02, + "grad_norm": 1.9273619920329883, + "learning_rate": 1.1114599686028258e-05, + "loss": 0.8627, + "step": 708 + }, + { + "epoch": 0.02, + "grad_norm": 1.7032888594522984, + "learning_rate": 1.1130298273155417e-05, + "loss": 0.9389, + "step": 709 + }, + { + "epoch": 0.02, + "grad_norm": 4.721121321899293, + "learning_rate": 1.1145996860282576e-05, + "loss": 0.8232, + "step": 710 + }, + { + "epoch": 0.02, + "grad_norm": 1.8765580435574094, + "learning_rate": 1.1161695447409735e-05, + "loss": 0.8311, + "step": 711 + }, + { + "epoch": 0.02, + "grad_norm": 0.721965742902074, + "learning_rate": 1.1177394034536892e-05, + "loss": 0.6737, + "step": 712 + }, + { + "epoch": 0.02, + "grad_norm": 1.833164106077372, + "learning_rate": 1.119309262166405e-05, + "loss": 0.9096, + "step": 713 + }, + { + "epoch": 0.02, + "grad_norm": 1.882269513214081, + "learning_rate": 1.120879120879121e-05, + "loss": 0.9826, + "step": 714 + }, + { + "epoch": 0.02, + "grad_norm": 2.095453434892582, + "learning_rate": 1.1224489795918367e-05, + "loss": 0.9619, + "step": 715 + }, + { + "epoch": 0.02, + "grad_norm": 1.5599180888465762, + "learning_rate": 1.1240188383045527e-05, + "loss": 0.8557, + "step": 716 + }, + { + "epoch": 0.02, + "grad_norm": 0.789741031302047, + "learning_rate": 1.1255886970172685e-05, + "loss": 0.6836, + "step": 717 + }, + { + "epoch": 0.02, + "grad_norm": 1.7104019284040652, + "learning_rate": 1.1271585557299845e-05, + "loss": 0.7372, + "step": 718 + }, + { + "epoch": 0.02, + "grad_norm": 0.7519638576879533, + "learning_rate": 1.1287284144427002e-05, + "loss": 0.6326, + "step": 719 + }, + { + "epoch": 0.02, + "grad_norm": 0.7521395158707554, + "learning_rate": 1.1302982731554161e-05, + "loss": 0.6499, + "step": 720 + }, + { + "epoch": 0.02, + "grad_norm": 2.032726468211759, + "learning_rate": 1.131868131868132e-05, + "loss": 0.9818, + "step": 721 + }, + { + "epoch": 0.02, + "grad_norm": 1.9391304499019766, + "learning_rate": 1.1334379905808479e-05, + "loss": 0.884, + "step": 722 + }, + { + "epoch": 0.02, + "grad_norm": 0.7713573876046262, + "learning_rate": 1.1350078492935636e-05, + "loss": 0.6616, + "step": 723 + }, + { + "epoch": 0.02, + "grad_norm": 2.4079278777651547, + "learning_rate": 1.1365777080062793e-05, + "loss": 0.7939, + "step": 724 + }, + { + "epoch": 0.02, + "grad_norm": 0.8081581720513715, + "learning_rate": 1.1381475667189954e-05, + "loss": 0.6592, + "step": 725 + }, + { + "epoch": 0.02, + "grad_norm": 1.7761988215652376, + "learning_rate": 1.1397174254317111e-05, + "loss": 0.9474, + "step": 726 + }, + { + "epoch": 0.02, + "grad_norm": 1.7526479385891982, + "learning_rate": 1.1412872841444272e-05, + "loss": 0.7415, + "step": 727 + }, + { + "epoch": 0.02, + "grad_norm": 1.8046648775087506, + "learning_rate": 1.1428571428571429e-05, + "loss": 1.0024, + "step": 728 + }, + { + "epoch": 0.02, + "grad_norm": 1.5050014693368219, + "learning_rate": 1.1444270015698588e-05, + "loss": 0.8928, + "step": 729 + }, + { + "epoch": 0.02, + "grad_norm": 1.9113597526195392, + "learning_rate": 1.1459968602825747e-05, + "loss": 0.8403, + "step": 730 + }, + { + "epoch": 0.02, + "grad_norm": 1.574163205219045, + "learning_rate": 1.1475667189952906e-05, + "loss": 0.9318, + "step": 731 + }, + { + "epoch": 0.02, + "grad_norm": 2.0670924234189436, + "learning_rate": 1.1491365777080063e-05, + "loss": 0.9754, + "step": 732 + }, + { + "epoch": 0.02, + "grad_norm": 1.6365423031298987, + "learning_rate": 1.1507064364207223e-05, + "loss": 0.8433, + "step": 733 + }, + { + "epoch": 0.02, + "grad_norm": 1.9376201174811558, + "learning_rate": 1.152276295133438e-05, + "loss": 0.9377, + "step": 734 + }, + { + "epoch": 0.02, + "grad_norm": 1.8185898077212972, + "learning_rate": 1.1538461538461538e-05, + "loss": 0.8416, + "step": 735 + }, + { + "epoch": 0.02, + "grad_norm": 1.8663343644385166, + "learning_rate": 1.1554160125588698e-05, + "loss": 0.9158, + "step": 736 + }, + { + "epoch": 0.02, + "grad_norm": 1.6450699894436667, + "learning_rate": 1.1569858712715856e-05, + "loss": 0.9937, + "step": 737 + }, + { + "epoch": 0.02, + "grad_norm": 0.7748119802434673, + "learning_rate": 1.1585557299843016e-05, + "loss": 0.6664, + "step": 738 + }, + { + "epoch": 0.02, + "grad_norm": 1.9969396778280746, + "learning_rate": 1.1601255886970173e-05, + "loss": 0.903, + "step": 739 + }, + { + "epoch": 0.02, + "grad_norm": 1.6981466077170164, + "learning_rate": 1.1616954474097332e-05, + "loss": 0.7879, + "step": 740 + }, + { + "epoch": 0.02, + "grad_norm": 1.67286796169989, + "learning_rate": 1.1632653061224491e-05, + "loss": 0.8956, + "step": 741 + }, + { + "epoch": 0.02, + "grad_norm": 1.6566995474574937, + "learning_rate": 1.164835164835165e-05, + "loss": 0.9561, + "step": 742 + }, + { + "epoch": 0.02, + "grad_norm": 1.7753943449750962, + "learning_rate": 1.1664050235478807e-05, + "loss": 0.9659, + "step": 743 + }, + { + "epoch": 0.02, + "grad_norm": 1.9346313510711484, + "learning_rate": 1.1679748822605968e-05, + "loss": 0.9068, + "step": 744 + }, + { + "epoch": 0.02, + "grad_norm": 1.8582500396415398, + "learning_rate": 1.1695447409733125e-05, + "loss": 1.0011, + "step": 745 + }, + { + "epoch": 0.02, + "grad_norm": 1.7939263192350094, + "learning_rate": 1.1711145996860282e-05, + "loss": 0.8821, + "step": 746 + }, + { + "epoch": 0.02, + "grad_norm": 1.634260381893241, + "learning_rate": 1.1726844583987443e-05, + "loss": 0.8632, + "step": 747 + }, + { + "epoch": 0.02, + "grad_norm": 1.8497150653502055, + "learning_rate": 1.17425431711146e-05, + "loss": 0.9358, + "step": 748 + }, + { + "epoch": 0.02, + "grad_norm": 2.069861412248486, + "learning_rate": 1.1758241758241759e-05, + "loss": 1.0366, + "step": 749 + }, + { + "epoch": 0.02, + "grad_norm": 0.7679564419424186, + "learning_rate": 1.1773940345368918e-05, + "loss": 0.6767, + "step": 750 + }, + { + "epoch": 0.02, + "grad_norm": 1.9368485275503156, + "learning_rate": 1.1789638932496077e-05, + "loss": 1.0094, + "step": 751 + }, + { + "epoch": 0.02, + "grad_norm": 2.009842129030666, + "learning_rate": 1.1805337519623234e-05, + "loss": 0.8219, + "step": 752 + }, + { + "epoch": 0.02, + "grad_norm": 1.7423216000609834, + "learning_rate": 1.1821036106750394e-05, + "loss": 0.799, + "step": 753 + }, + { + "epoch": 0.02, + "grad_norm": 2.047777881590659, + "learning_rate": 1.1836734693877552e-05, + "loss": 0.886, + "step": 754 + }, + { + "epoch": 0.02, + "grad_norm": 1.6847556544014277, + "learning_rate": 1.1852433281004712e-05, + "loss": 0.9185, + "step": 755 + }, + { + "epoch": 0.02, + "grad_norm": 1.6095243552205807, + "learning_rate": 1.186813186813187e-05, + "loss": 0.8469, + "step": 756 + }, + { + "epoch": 0.02, + "grad_norm": 1.6848804579345231, + "learning_rate": 1.1883830455259027e-05, + "loss": 0.783, + "step": 757 + }, + { + "epoch": 0.02, + "grad_norm": 1.843915117030274, + "learning_rate": 1.1899529042386187e-05, + "loss": 1.0188, + "step": 758 + }, + { + "epoch": 0.02, + "grad_norm": 1.657207234395801, + "learning_rate": 1.1915227629513344e-05, + "loss": 0.8597, + "step": 759 + }, + { + "epoch": 0.02, + "grad_norm": 1.6148764328172156, + "learning_rate": 1.1930926216640503e-05, + "loss": 1.0842, + "step": 760 + }, + { + "epoch": 0.02, + "grad_norm": 3.3643791742695366, + "learning_rate": 1.1946624803767662e-05, + "loss": 0.9937, + "step": 761 + }, + { + "epoch": 0.02, + "grad_norm": 1.9721394897727136, + "learning_rate": 1.1962323390894821e-05, + "loss": 0.9085, + "step": 762 + }, + { + "epoch": 0.02, + "grad_norm": 2.26865607447993, + "learning_rate": 1.1978021978021978e-05, + "loss": 0.8054, + "step": 763 + }, + { + "epoch": 0.02, + "grad_norm": 1.990375145561411, + "learning_rate": 1.1993720565149139e-05, + "loss": 1.0114, + "step": 764 + }, + { + "epoch": 0.02, + "grad_norm": 3.34135475232029, + "learning_rate": 1.2009419152276296e-05, + "loss": 0.8244, + "step": 765 + }, + { + "epoch": 0.02, + "grad_norm": 1.922955771208112, + "learning_rate": 1.2025117739403457e-05, + "loss": 0.9868, + "step": 766 + }, + { + "epoch": 0.02, + "grad_norm": 1.7697906470460132, + "learning_rate": 1.2040816326530614e-05, + "loss": 1.0206, + "step": 767 + }, + { + "epoch": 0.02, + "grad_norm": 2.8588205962878077, + "learning_rate": 1.2056514913657771e-05, + "loss": 0.9353, + "step": 768 + }, + { + "epoch": 0.02, + "grad_norm": 1.6125666825997544, + "learning_rate": 1.207221350078493e-05, + "loss": 0.8118, + "step": 769 + }, + { + "epoch": 0.02, + "grad_norm": 1.5577287945068259, + "learning_rate": 1.2087912087912089e-05, + "loss": 0.7796, + "step": 770 + }, + { + "epoch": 0.02, + "grad_norm": 1.5272776336792728, + "learning_rate": 1.2103610675039248e-05, + "loss": 0.9614, + "step": 771 + }, + { + "epoch": 0.02, + "grad_norm": 1.756062718593308, + "learning_rate": 1.2119309262166405e-05, + "loss": 0.82, + "step": 772 + }, + { + "epoch": 0.02, + "grad_norm": 2.3948894588266385, + "learning_rate": 1.2135007849293565e-05, + "loss": 0.8731, + "step": 773 + }, + { + "epoch": 0.02, + "grad_norm": 1.879943114496335, + "learning_rate": 1.2150706436420723e-05, + "loss": 0.8761, + "step": 774 + }, + { + "epoch": 0.02, + "grad_norm": 1.7761830532123035, + "learning_rate": 1.2166405023547883e-05, + "loss": 0.8669, + "step": 775 + }, + { + "epoch": 0.02, + "grad_norm": 2.0003369593813805, + "learning_rate": 1.218210361067504e-05, + "loss": 0.9316, + "step": 776 + }, + { + "epoch": 0.02, + "grad_norm": 1.8201716962002137, + "learning_rate": 1.21978021978022e-05, + "loss": 1.0139, + "step": 777 + }, + { + "epoch": 0.02, + "grad_norm": 4.8500936069368885, + "learning_rate": 1.2213500784929358e-05, + "loss": 0.8937, + "step": 778 + }, + { + "epoch": 0.02, + "grad_norm": 1.9068938403866882, + "learning_rate": 1.2229199372056515e-05, + "loss": 0.8725, + "step": 779 + }, + { + "epoch": 0.02, + "grad_norm": 1.5878624999363777, + "learning_rate": 1.2244897959183674e-05, + "loss": 0.8246, + "step": 780 + }, + { + "epoch": 0.02, + "grad_norm": 1.454652636718264, + "learning_rate": 1.2260596546310833e-05, + "loss": 0.9519, + "step": 781 + }, + { + "epoch": 0.02, + "grad_norm": 2.3592374364752065, + "learning_rate": 1.2276295133437992e-05, + "loss": 0.9276, + "step": 782 + }, + { + "epoch": 0.02, + "grad_norm": 1.7999639604603799, + "learning_rate": 1.229199372056515e-05, + "loss": 0.9318, + "step": 783 + }, + { + "epoch": 0.02, + "grad_norm": 2.3776835924489723, + "learning_rate": 1.230769230769231e-05, + "loss": 0.8295, + "step": 784 + }, + { + "epoch": 0.02, + "grad_norm": 1.878493544943101, + "learning_rate": 1.2323390894819467e-05, + "loss": 0.8847, + "step": 785 + }, + { + "epoch": 0.02, + "grad_norm": 1.839212280762879, + "learning_rate": 1.2339089481946628e-05, + "loss": 1.0239, + "step": 786 + }, + { + "epoch": 0.02, + "grad_norm": 1.4976203781022204, + "learning_rate": 1.2354788069073785e-05, + "loss": 0.8998, + "step": 787 + }, + { + "epoch": 0.02, + "grad_norm": 1.6555029189565227, + "learning_rate": 1.2370486656200944e-05, + "loss": 0.8635, + "step": 788 + }, + { + "epoch": 0.02, + "grad_norm": 1.8127601065237622, + "learning_rate": 1.23861852433281e-05, + "loss": 0.9003, + "step": 789 + }, + { + "epoch": 0.02, + "grad_norm": 2.1768611761855325, + "learning_rate": 1.240188383045526e-05, + "loss": 0.8961, + "step": 790 + }, + { + "epoch": 0.02, + "grad_norm": 2.023405277320002, + "learning_rate": 1.2417582417582419e-05, + "loss": 1.0067, + "step": 791 + }, + { + "epoch": 0.02, + "grad_norm": 2.73860268962193, + "learning_rate": 1.2433281004709576e-05, + "loss": 1.0124, + "step": 792 + }, + { + "epoch": 0.02, + "grad_norm": 1.8625457913248604, + "learning_rate": 1.2448979591836736e-05, + "loss": 0.9154, + "step": 793 + }, + { + "epoch": 0.02, + "grad_norm": 0.7745176818880476, + "learning_rate": 1.2464678178963894e-05, + "loss": 0.7038, + "step": 794 + }, + { + "epoch": 0.02, + "grad_norm": 1.3229410647513884, + "learning_rate": 1.2480376766091054e-05, + "loss": 0.8687, + "step": 795 + }, + { + "epoch": 0.02, + "grad_norm": 2.1306650241545326, + "learning_rate": 1.2496075353218211e-05, + "loss": 0.9543, + "step": 796 + }, + { + "epoch": 0.02, + "grad_norm": 1.788799612928587, + "learning_rate": 1.251177394034537e-05, + "loss": 0.9677, + "step": 797 + }, + { + "epoch": 0.02, + "grad_norm": 1.8040205538611442, + "learning_rate": 1.2527472527472529e-05, + "loss": 0.9856, + "step": 798 + }, + { + "epoch": 0.02, + "grad_norm": 1.6191861567721524, + "learning_rate": 1.2543171114599686e-05, + "loss": 0.9462, + "step": 799 + }, + { + "epoch": 0.02, + "grad_norm": 1.4222405531836453, + "learning_rate": 1.2558869701726845e-05, + "loss": 0.944, + "step": 800 + }, + { + "epoch": 0.02, + "grad_norm": 2.0681877228508534, + "learning_rate": 1.2574568288854004e-05, + "loss": 0.8986, + "step": 801 + }, + { + "epoch": 0.02, + "grad_norm": 1.6398716410634526, + "learning_rate": 1.2590266875981163e-05, + "loss": 0.9795, + "step": 802 + }, + { + "epoch": 0.02, + "grad_norm": 1.6693773081472965, + "learning_rate": 1.260596546310832e-05, + "loss": 0.968, + "step": 803 + }, + { + "epoch": 0.02, + "grad_norm": 1.8243403372376288, + "learning_rate": 1.262166405023548e-05, + "loss": 1.0221, + "step": 804 + }, + { + "epoch": 0.02, + "grad_norm": 1.8151354440342997, + "learning_rate": 1.2637362637362638e-05, + "loss": 1.0077, + "step": 805 + }, + { + "epoch": 0.02, + "grad_norm": 2.421090335812189, + "learning_rate": 1.2653061224489798e-05, + "loss": 0.8316, + "step": 806 + }, + { + "epoch": 0.02, + "grad_norm": 1.589142045767219, + "learning_rate": 1.2668759811616956e-05, + "loss": 0.8433, + "step": 807 + }, + { + "epoch": 0.02, + "grad_norm": 1.7163934255624083, + "learning_rate": 1.2684458398744115e-05, + "loss": 0.8963, + "step": 808 + }, + { + "epoch": 0.02, + "grad_norm": 1.8458419341728567, + "learning_rate": 1.2700156985871272e-05, + "loss": 0.9494, + "step": 809 + }, + { + "epoch": 0.02, + "grad_norm": 1.8205841225310502, + "learning_rate": 1.271585557299843e-05, + "loss": 0.8545, + "step": 810 + }, + { + "epoch": 0.02, + "grad_norm": 2.0190295657470667, + "learning_rate": 1.273155416012559e-05, + "loss": 1.0285, + "step": 811 + }, + { + "epoch": 0.02, + "grad_norm": 1.821542750484262, + "learning_rate": 1.2747252747252747e-05, + "loss": 0.848, + "step": 812 + }, + { + "epoch": 0.02, + "grad_norm": 2.290341560138557, + "learning_rate": 1.2762951334379907e-05, + "loss": 1.002, + "step": 813 + }, + { + "epoch": 0.02, + "grad_norm": 1.7684162921623348, + "learning_rate": 1.2778649921507064e-05, + "loss": 0.7983, + "step": 814 + }, + { + "epoch": 0.02, + "grad_norm": 1.6540371606065456, + "learning_rate": 1.2794348508634225e-05, + "loss": 1.03, + "step": 815 + }, + { + "epoch": 0.02, + "grad_norm": 1.8657211135638492, + "learning_rate": 1.2810047095761382e-05, + "loss": 0.8478, + "step": 816 + }, + { + "epoch": 0.02, + "grad_norm": 1.7931960266753744, + "learning_rate": 1.2825745682888541e-05, + "loss": 0.7528, + "step": 817 + }, + { + "epoch": 0.02, + "grad_norm": 1.5157777671089612, + "learning_rate": 1.28414442700157e-05, + "loss": 0.9079, + "step": 818 + }, + { + "epoch": 0.02, + "grad_norm": 1.6060862753054737, + "learning_rate": 1.2857142857142859e-05, + "loss": 0.7614, + "step": 819 + }, + { + "epoch": 0.02, + "grad_norm": 1.6102125808452996, + "learning_rate": 1.2872841444270016e-05, + "loss": 0.8796, + "step": 820 + }, + { + "epoch": 0.02, + "grad_norm": 1.6464565051736062, + "learning_rate": 1.2888540031397175e-05, + "loss": 0.961, + "step": 821 + }, + { + "epoch": 0.02, + "grad_norm": 1.7227044786732406, + "learning_rate": 1.2904238618524334e-05, + "loss": 0.8263, + "step": 822 + }, + { + "epoch": 0.02, + "grad_norm": 1.9744019324523172, + "learning_rate": 1.2919937205651491e-05, + "loss": 0.8441, + "step": 823 + }, + { + "epoch": 0.02, + "grad_norm": 1.6917702573834423, + "learning_rate": 1.2935635792778652e-05, + "loss": 0.9015, + "step": 824 + }, + { + "epoch": 0.02, + "grad_norm": 1.750420672648657, + "learning_rate": 1.2951334379905809e-05, + "loss": 0.8404, + "step": 825 + }, + { + "epoch": 0.02, + "grad_norm": 2.3073199150827604, + "learning_rate": 1.296703296703297e-05, + "loss": 1.0261, + "step": 826 + }, + { + "epoch": 0.02, + "grad_norm": 1.6670854348049013, + "learning_rate": 1.2982731554160127e-05, + "loss": 0.8418, + "step": 827 + }, + { + "epoch": 0.02, + "grad_norm": 2.0728252182668654, + "learning_rate": 1.2998430141287286e-05, + "loss": 0.9455, + "step": 828 + }, + { + "epoch": 0.02, + "grad_norm": 1.7641556028155023, + "learning_rate": 1.3014128728414443e-05, + "loss": 0.9082, + "step": 829 + }, + { + "epoch": 0.02, + "grad_norm": 1.7653287281571128, + "learning_rate": 1.3029827315541603e-05, + "loss": 0.8711, + "step": 830 + }, + { + "epoch": 0.02, + "grad_norm": 1.722450133863031, + "learning_rate": 1.304552590266876e-05, + "loss": 0.9774, + "step": 831 + }, + { + "epoch": 0.02, + "grad_norm": 1.6625441366143656, + "learning_rate": 1.3061224489795918e-05, + "loss": 0.8653, + "step": 832 + }, + { + "epoch": 0.02, + "grad_norm": 1.664922660645558, + "learning_rate": 1.3076923076923078e-05, + "loss": 0.8118, + "step": 833 + }, + { + "epoch": 0.02, + "grad_norm": 1.7197014415480485, + "learning_rate": 1.3092621664050235e-05, + "loss": 1.0268, + "step": 834 + }, + { + "epoch": 0.02, + "grad_norm": 1.6344713565897375, + "learning_rate": 1.3108320251177396e-05, + "loss": 0.9329, + "step": 835 + }, + { + "epoch": 0.02, + "grad_norm": 1.7398654178556763, + "learning_rate": 1.3124018838304553e-05, + "loss": 1.0188, + "step": 836 + }, + { + "epoch": 0.02, + "grad_norm": 1.5370469699422253, + "learning_rate": 1.3139717425431712e-05, + "loss": 0.7834, + "step": 837 + }, + { + "epoch": 0.02, + "grad_norm": 1.5221466241384312, + "learning_rate": 1.3155416012558871e-05, + "loss": 0.8467, + "step": 838 + }, + { + "epoch": 0.02, + "grad_norm": 1.9542935878219252, + "learning_rate": 1.317111459968603e-05, + "loss": 0.8457, + "step": 839 + }, + { + "epoch": 0.02, + "grad_norm": 1.648728426579854, + "learning_rate": 1.3186813186813187e-05, + "loss": 0.9097, + "step": 840 + }, + { + "epoch": 0.02, + "grad_norm": 2.1324306854927557, + "learning_rate": 1.3202511773940348e-05, + "loss": 0.9258, + "step": 841 + }, + { + "epoch": 0.02, + "grad_norm": 0.771119512218935, + "learning_rate": 1.3218210361067505e-05, + "loss": 0.7355, + "step": 842 + }, + { + "epoch": 0.02, + "grad_norm": 1.6613155591189244, + "learning_rate": 1.3233908948194662e-05, + "loss": 0.885, + "step": 843 + }, + { + "epoch": 0.02, + "grad_norm": 1.5478259860672356, + "learning_rate": 1.3249607535321823e-05, + "loss": 0.9714, + "step": 844 + }, + { + "epoch": 0.02, + "grad_norm": 2.6454076806104396, + "learning_rate": 1.326530612244898e-05, + "loss": 1.0079, + "step": 845 + }, + { + "epoch": 0.02, + "grad_norm": 1.830630498452458, + "learning_rate": 1.328100470957614e-05, + "loss": 0.867, + "step": 846 + }, + { + "epoch": 0.02, + "grad_norm": 1.9425351122791696, + "learning_rate": 1.3296703296703298e-05, + "loss": 0.9297, + "step": 847 + }, + { + "epoch": 0.02, + "grad_norm": 1.9317583378596523, + "learning_rate": 1.3312401883830456e-05, + "loss": 0.7996, + "step": 848 + }, + { + "epoch": 0.02, + "grad_norm": 1.8789324801357878, + "learning_rate": 1.3328100470957614e-05, + "loss": 0.8841, + "step": 849 + }, + { + "epoch": 0.02, + "grad_norm": 1.7237683458034148, + "learning_rate": 1.3343799058084774e-05, + "loss": 0.8438, + "step": 850 + }, + { + "epoch": 0.02, + "grad_norm": 1.712745006939898, + "learning_rate": 1.3359497645211931e-05, + "loss": 0.9592, + "step": 851 + }, + { + "epoch": 0.02, + "grad_norm": 1.670452039443604, + "learning_rate": 1.3375196232339092e-05, + "loss": 0.9566, + "step": 852 + }, + { + "epoch": 0.02, + "grad_norm": 1.6364102885547047, + "learning_rate": 1.339089481946625e-05, + "loss": 0.891, + "step": 853 + }, + { + "epoch": 0.02, + "grad_norm": 1.7857497440230614, + "learning_rate": 1.3406593406593406e-05, + "loss": 0.7758, + "step": 854 + }, + { + "epoch": 0.02, + "grad_norm": 1.7754047592115068, + "learning_rate": 1.3422291993720567e-05, + "loss": 0.9193, + "step": 855 + }, + { + "epoch": 0.02, + "grad_norm": 1.7747058683906485, + "learning_rate": 1.3437990580847724e-05, + "loss": 0.914, + "step": 856 + }, + { + "epoch": 0.02, + "grad_norm": 1.616097890672518, + "learning_rate": 1.3453689167974883e-05, + "loss": 0.9094, + "step": 857 + }, + { + "epoch": 0.02, + "grad_norm": 1.6124050781095873, + "learning_rate": 1.3469387755102042e-05, + "loss": 0.8182, + "step": 858 + }, + { + "epoch": 0.02, + "grad_norm": 1.5617060163549739, + "learning_rate": 1.34850863422292e-05, + "loss": 0.8426, + "step": 859 + }, + { + "epoch": 0.02, + "grad_norm": 2.832380481996329, + "learning_rate": 1.3500784929356358e-05, + "loss": 0.796, + "step": 860 + }, + { + "epoch": 0.02, + "grad_norm": 1.945374041585282, + "learning_rate": 1.3516483516483519e-05, + "loss": 0.9582, + "step": 861 + }, + { + "epoch": 0.02, + "grad_norm": 0.9128789956325258, + "learning_rate": 1.3532182103610676e-05, + "loss": 0.7087, + "step": 862 + }, + { + "epoch": 0.02, + "grad_norm": 1.560924481696143, + "learning_rate": 1.3547880690737836e-05, + "loss": 0.875, + "step": 863 + }, + { + "epoch": 0.02, + "grad_norm": 1.6809669151247162, + "learning_rate": 1.3563579277864994e-05, + "loss": 0.7381, + "step": 864 + }, + { + "epoch": 0.02, + "grad_norm": 2.057546628761549, + "learning_rate": 1.357927786499215e-05, + "loss": 0.8212, + "step": 865 + }, + { + "epoch": 0.02, + "grad_norm": 2.2211010196472185, + "learning_rate": 1.3594976452119311e-05, + "loss": 0.7943, + "step": 866 + }, + { + "epoch": 0.02, + "grad_norm": 1.539511702981035, + "learning_rate": 1.3610675039246469e-05, + "loss": 0.8928, + "step": 867 + }, + { + "epoch": 0.02, + "grad_norm": 1.824515249343796, + "learning_rate": 1.3626373626373627e-05, + "loss": 0.7715, + "step": 868 + }, + { + "epoch": 0.02, + "grad_norm": 1.9314425002852345, + "learning_rate": 1.3642072213500786e-05, + "loss": 1.0304, + "step": 869 + }, + { + "epoch": 0.02, + "grad_norm": 1.8277441100749736, + "learning_rate": 1.3657770800627945e-05, + "loss": 0.8415, + "step": 870 + }, + { + "epoch": 0.02, + "grad_norm": 1.4760089283932198, + "learning_rate": 1.3673469387755102e-05, + "loss": 0.8496, + "step": 871 + }, + { + "epoch": 0.02, + "grad_norm": 1.778650266328723, + "learning_rate": 1.3689167974882263e-05, + "loss": 0.8524, + "step": 872 + }, + { + "epoch": 0.02, + "grad_norm": 1.8074529601787053, + "learning_rate": 1.370486656200942e-05, + "loss": 0.9091, + "step": 873 + }, + { + "epoch": 0.02, + "grad_norm": 1.8637883806356061, + "learning_rate": 1.3720565149136579e-05, + "loss": 0.9901, + "step": 874 + }, + { + "epoch": 0.02, + "grad_norm": 1.6924839987981315, + "learning_rate": 1.3736263736263738e-05, + "loss": 0.9689, + "step": 875 + }, + { + "epoch": 0.02, + "grad_norm": 1.6669125109987133, + "learning_rate": 1.3751962323390895e-05, + "loss": 0.9332, + "step": 876 + }, + { + "epoch": 0.02, + "grad_norm": 2.1649214852068392, + "learning_rate": 1.3767660910518054e-05, + "loss": 0.9606, + "step": 877 + }, + { + "epoch": 0.02, + "grad_norm": 1.5848220827281474, + "learning_rate": 1.3783359497645213e-05, + "loss": 0.9648, + "step": 878 + }, + { + "epoch": 0.02, + "grad_norm": 1.8008673341809671, + "learning_rate": 1.3799058084772372e-05, + "loss": 0.8802, + "step": 879 + }, + { + "epoch": 0.02, + "grad_norm": 2.6927096009140987, + "learning_rate": 1.3814756671899529e-05, + "loss": 0.9202, + "step": 880 + }, + { + "epoch": 0.02, + "grad_norm": 1.6747768091850967, + "learning_rate": 1.383045525902669e-05, + "loss": 0.7927, + "step": 881 + }, + { + "epoch": 0.02, + "grad_norm": 1.6717030980516339, + "learning_rate": 1.3846153846153847e-05, + "loss": 0.9068, + "step": 882 + }, + { + "epoch": 0.02, + "grad_norm": 0.7947286786905883, + "learning_rate": 1.3861852433281007e-05, + "loss": 0.6712, + "step": 883 + }, + { + "epoch": 0.02, + "grad_norm": 1.5944749683474013, + "learning_rate": 1.3877551020408165e-05, + "loss": 0.9979, + "step": 884 + }, + { + "epoch": 0.02, + "grad_norm": 2.279418098762317, + "learning_rate": 1.3893249607535323e-05, + "loss": 0.9038, + "step": 885 + }, + { + "epoch": 0.02, + "grad_norm": 1.7351063584345507, + "learning_rate": 1.3908948194662482e-05, + "loss": 0.8879, + "step": 886 + }, + { + "epoch": 0.02, + "grad_norm": 1.4933604642546074, + "learning_rate": 1.392464678178964e-05, + "loss": 0.9805, + "step": 887 + }, + { + "epoch": 0.02, + "grad_norm": 1.8482767365052222, + "learning_rate": 1.3940345368916798e-05, + "loss": 0.93, + "step": 888 + }, + { + "epoch": 0.02, + "grad_norm": 1.883951833095372, + "learning_rate": 1.3956043956043957e-05, + "loss": 0.8929, + "step": 889 + }, + { + "epoch": 0.02, + "grad_norm": 1.5153373596707775, + "learning_rate": 1.3971742543171116e-05, + "loss": 0.8691, + "step": 890 + }, + { + "epoch": 0.02, + "grad_norm": 1.8669363168316966, + "learning_rate": 1.3987441130298273e-05, + "loss": 0.9391, + "step": 891 + }, + { + "epoch": 0.02, + "grad_norm": 1.767778177015158, + "learning_rate": 1.4003139717425434e-05, + "loss": 0.8818, + "step": 892 + }, + { + "epoch": 0.02, + "grad_norm": 1.646026631856072, + "learning_rate": 1.4018838304552591e-05, + "loss": 1.0106, + "step": 893 + }, + { + "epoch": 0.02, + "grad_norm": 1.7265996785362994, + "learning_rate": 1.403453689167975e-05, + "loss": 0.9005, + "step": 894 + }, + { + "epoch": 0.02, + "grad_norm": 1.9462393895742705, + "learning_rate": 1.4050235478806909e-05, + "loss": 0.8767, + "step": 895 + }, + { + "epoch": 0.02, + "grad_norm": 1.8702921574023539, + "learning_rate": 1.4065934065934068e-05, + "loss": 0.8146, + "step": 896 + }, + { + "epoch": 0.02, + "grad_norm": 2.186144174274527, + "learning_rate": 1.4081632653061225e-05, + "loss": 0.9102, + "step": 897 + }, + { + "epoch": 0.02, + "grad_norm": 1.7892801422320197, + "learning_rate": 1.4097331240188384e-05, + "loss": 0.8567, + "step": 898 + }, + { + "epoch": 0.02, + "grad_norm": 1.7577703324035203, + "learning_rate": 1.4113029827315543e-05, + "loss": 1.0051, + "step": 899 + }, + { + "epoch": 0.02, + "grad_norm": 1.6017280379487115, + "learning_rate": 1.41287284144427e-05, + "loss": 1.0016, + "step": 900 + }, + { + "epoch": 0.02, + "grad_norm": 2.5512040906708515, + "learning_rate": 1.414442700156986e-05, + "loss": 0.9238, + "step": 901 + }, + { + "epoch": 0.02, + "grad_norm": 1.6884368693389444, + "learning_rate": 1.4160125588697018e-05, + "loss": 0.8871, + "step": 902 + }, + { + "epoch": 0.02, + "grad_norm": 1.754368362575317, + "learning_rate": 1.4175824175824178e-05, + "loss": 0.9092, + "step": 903 + }, + { + "epoch": 0.02, + "grad_norm": 0.7503751161502085, + "learning_rate": 1.4191522762951335e-05, + "loss": 0.746, + "step": 904 + }, + { + "epoch": 0.02, + "grad_norm": 1.6553087266076199, + "learning_rate": 1.4207221350078494e-05, + "loss": 0.9754, + "step": 905 + }, + { + "epoch": 0.02, + "grad_norm": 1.7220556955085202, + "learning_rate": 1.4222919937205653e-05, + "loss": 0.8779, + "step": 906 + }, + { + "epoch": 0.02, + "grad_norm": 1.8514080151034118, + "learning_rate": 1.423861852433281e-05, + "loss": 0.9343, + "step": 907 + }, + { + "epoch": 0.02, + "grad_norm": 1.6728211785911167, + "learning_rate": 1.425431711145997e-05, + "loss": 1.0052, + "step": 908 + }, + { + "epoch": 0.02, + "grad_norm": 1.5810086334422075, + "learning_rate": 1.4270015698587128e-05, + "loss": 0.8153, + "step": 909 + }, + { + "epoch": 0.02, + "grad_norm": 1.7000012029848353, + "learning_rate": 1.4285714285714287e-05, + "loss": 0.9279, + "step": 910 + }, + { + "epoch": 0.02, + "grad_norm": 1.5907980253109988, + "learning_rate": 1.4301412872841444e-05, + "loss": 0.8447, + "step": 911 + }, + { + "epoch": 0.02, + "grad_norm": 1.9071066981723257, + "learning_rate": 1.4317111459968605e-05, + "loss": 0.7728, + "step": 912 + }, + { + "epoch": 0.02, + "grad_norm": 1.8311011160686315, + "learning_rate": 1.4332810047095762e-05, + "loss": 0.9187, + "step": 913 + }, + { + "epoch": 0.02, + "grad_norm": 1.6537316335638867, + "learning_rate": 1.4348508634222923e-05, + "loss": 0.7163, + "step": 914 + }, + { + "epoch": 0.02, + "grad_norm": 1.7715049208384865, + "learning_rate": 1.436420722135008e-05, + "loss": 0.8711, + "step": 915 + }, + { + "epoch": 0.02, + "grad_norm": 1.690592117882765, + "learning_rate": 1.4379905808477239e-05, + "loss": 0.8193, + "step": 916 + }, + { + "epoch": 0.02, + "grad_norm": 1.692423006946277, + "learning_rate": 1.4395604395604396e-05, + "loss": 0.8061, + "step": 917 + }, + { + "epoch": 0.02, + "grad_norm": 1.8081298903770209, + "learning_rate": 1.4411302982731555e-05, + "loss": 0.9648, + "step": 918 + }, + { + "epoch": 0.02, + "grad_norm": 3.1926527526658566, + "learning_rate": 1.4427001569858714e-05, + "loss": 0.9064, + "step": 919 + }, + { + "epoch": 0.02, + "grad_norm": 2.544071793729708, + "learning_rate": 1.4442700156985871e-05, + "loss": 0.9356, + "step": 920 + }, + { + "epoch": 0.02, + "grad_norm": 1.8361552486937287, + "learning_rate": 1.4458398744113031e-05, + "loss": 1.031, + "step": 921 + }, + { + "epoch": 0.02, + "grad_norm": 1.6380260499791304, + "learning_rate": 1.4474097331240189e-05, + "loss": 0.8854, + "step": 922 + }, + { + "epoch": 0.02, + "grad_norm": 1.3947911721930415, + "learning_rate": 1.448979591836735e-05, + "loss": 0.9251, + "step": 923 + }, + { + "epoch": 0.02, + "grad_norm": 1.8728641814899163, + "learning_rate": 1.4505494505494506e-05, + "loss": 0.9825, + "step": 924 + }, + { + "epoch": 0.02, + "grad_norm": 1.5592554332101076, + "learning_rate": 1.4521193092621665e-05, + "loss": 0.9223, + "step": 925 + }, + { + "epoch": 0.02, + "grad_norm": 1.5793540507937909, + "learning_rate": 1.4536891679748824e-05, + "loss": 0.962, + "step": 926 + }, + { + "epoch": 0.02, + "grad_norm": 0.7865291581285963, + "learning_rate": 1.4552590266875983e-05, + "loss": 0.7159, + "step": 927 + }, + { + "epoch": 0.02, + "grad_norm": 1.5669686299960275, + "learning_rate": 1.456828885400314e-05, + "loss": 0.8926, + "step": 928 + }, + { + "epoch": 0.02, + "grad_norm": 0.7701884399603238, + "learning_rate": 1.45839874411303e-05, + "loss": 0.6692, + "step": 929 + }, + { + "epoch": 0.02, + "grad_norm": 1.9393693606277542, + "learning_rate": 1.4599686028257458e-05, + "loss": 0.8441, + "step": 930 + }, + { + "epoch": 0.02, + "grad_norm": 2.2919572060492297, + "learning_rate": 1.4615384615384615e-05, + "loss": 0.918, + "step": 931 + }, + { + "epoch": 0.02, + "grad_norm": 2.0834145558500734, + "learning_rate": 1.4631083202511776e-05, + "loss": 0.9826, + "step": 932 + }, + { + "epoch": 0.02, + "grad_norm": 1.6986391341951037, + "learning_rate": 1.4646781789638933e-05, + "loss": 0.9442, + "step": 933 + }, + { + "epoch": 0.02, + "grad_norm": 2.0547700522194323, + "learning_rate": 1.4662480376766094e-05, + "loss": 1.0023, + "step": 934 + }, + { + "epoch": 0.02, + "grad_norm": 0.7720634680854919, + "learning_rate": 1.467817896389325e-05, + "loss": 0.6602, + "step": 935 + }, + { + "epoch": 0.02, + "grad_norm": 1.610263481288216, + "learning_rate": 1.469387755102041e-05, + "loss": 0.906, + "step": 936 + }, + { + "epoch": 0.02, + "grad_norm": 1.9366454122346748, + "learning_rate": 1.4709576138147567e-05, + "loss": 0.937, + "step": 937 + }, + { + "epoch": 0.02, + "grad_norm": 0.786915992667344, + "learning_rate": 1.4725274725274727e-05, + "loss": 0.7582, + "step": 938 + }, + { + "epoch": 0.02, + "grad_norm": 1.8512165688844928, + "learning_rate": 1.4740973312401885e-05, + "loss": 0.9203, + "step": 939 + }, + { + "epoch": 0.02, + "grad_norm": 3.7855132081541556, + "learning_rate": 1.4756671899529042e-05, + "loss": 0.8472, + "step": 940 + }, + { + "epoch": 0.02, + "grad_norm": 0.8321941719328425, + "learning_rate": 1.4772370486656202e-05, + "loss": 0.7928, + "step": 941 + }, + { + "epoch": 0.02, + "grad_norm": 1.8486888130021448, + "learning_rate": 1.478806907378336e-05, + "loss": 0.933, + "step": 942 + }, + { + "epoch": 0.02, + "grad_norm": 0.8657436023731557, + "learning_rate": 1.480376766091052e-05, + "loss": 0.6187, + "step": 943 + }, + { + "epoch": 0.02, + "grad_norm": 1.759295082320484, + "learning_rate": 1.4819466248037677e-05, + "loss": 0.9139, + "step": 944 + }, + { + "epoch": 0.02, + "grad_norm": 1.6749622047075854, + "learning_rate": 1.4835164835164836e-05, + "loss": 0.8467, + "step": 945 + }, + { + "epoch": 0.02, + "grad_norm": 1.9298633636651932, + "learning_rate": 1.4850863422291995e-05, + "loss": 0.8862, + "step": 946 + }, + { + "epoch": 0.02, + "grad_norm": 1.830384559106838, + "learning_rate": 1.4866562009419154e-05, + "loss": 0.8969, + "step": 947 + }, + { + "epoch": 0.02, + "grad_norm": 1.7518886347271028, + "learning_rate": 1.4882260596546311e-05, + "loss": 1.0322, + "step": 948 + }, + { + "epoch": 0.02, + "grad_norm": 1.549401920512933, + "learning_rate": 1.4897959183673472e-05, + "loss": 0.8492, + "step": 949 + }, + { + "epoch": 0.02, + "grad_norm": 1.8266313608773426, + "learning_rate": 1.4913657770800629e-05, + "loss": 0.806, + "step": 950 + }, + { + "epoch": 0.02, + "grad_norm": 0.7836277905273198, + "learning_rate": 1.4929356357927786e-05, + "loss": 0.744, + "step": 951 + }, + { + "epoch": 0.02, + "grad_norm": 2.0720840477861238, + "learning_rate": 1.4945054945054947e-05, + "loss": 0.9288, + "step": 952 + }, + { + "epoch": 0.02, + "grad_norm": 1.7765066527488338, + "learning_rate": 1.4960753532182104e-05, + "loss": 0.9146, + "step": 953 + }, + { + "epoch": 0.02, + "grad_norm": 1.8712680093323557, + "learning_rate": 1.4976452119309265e-05, + "loss": 0.9833, + "step": 954 + }, + { + "epoch": 0.02, + "grad_norm": 1.8913559374594782, + "learning_rate": 1.4992150706436422e-05, + "loss": 0.9385, + "step": 955 + }, + { + "epoch": 0.02, + "grad_norm": 1.570508758324839, + "learning_rate": 1.500784929356358e-05, + "loss": 0.8962, + "step": 956 + }, + { + "epoch": 0.02, + "grad_norm": 1.5828059534827035, + "learning_rate": 1.5023547880690738e-05, + "loss": 0.8382, + "step": 957 + }, + { + "epoch": 0.02, + "grad_norm": 1.7097908776387847, + "learning_rate": 1.5039246467817898e-05, + "loss": 0.9609, + "step": 958 + }, + { + "epoch": 0.02, + "grad_norm": 1.9217560801025584, + "learning_rate": 1.5054945054945056e-05, + "loss": 0.9156, + "step": 959 + }, + { + "epoch": 0.02, + "grad_norm": 1.716422979170672, + "learning_rate": 1.5070643642072216e-05, + "loss": 1.0063, + "step": 960 + }, + { + "epoch": 0.02, + "grad_norm": 2.356833357425073, + "learning_rate": 1.5086342229199373e-05, + "loss": 0.9778, + "step": 961 + }, + { + "epoch": 0.02, + "grad_norm": 1.8561807795581893, + "learning_rate": 1.510204081632653e-05, + "loss": 0.8908, + "step": 962 + }, + { + "epoch": 0.02, + "grad_norm": 1.638926777011614, + "learning_rate": 1.5117739403453691e-05, + "loss": 1.035, + "step": 963 + }, + { + "epoch": 0.02, + "grad_norm": 2.247453707263664, + "learning_rate": 1.5133437990580848e-05, + "loss": 0.8497, + "step": 964 + }, + { + "epoch": 0.02, + "grad_norm": 0.8121689962693821, + "learning_rate": 1.5149136577708007e-05, + "loss": 0.7191, + "step": 965 + }, + { + "epoch": 0.02, + "grad_norm": 0.7792809099975225, + "learning_rate": 1.5164835164835166e-05, + "loss": 0.6918, + "step": 966 + }, + { + "epoch": 0.02, + "grad_norm": 1.731553701616306, + "learning_rate": 1.5180533751962325e-05, + "loss": 0.8454, + "step": 967 + }, + { + "epoch": 0.02, + "grad_norm": 1.7043900896589461, + "learning_rate": 1.5196232339089482e-05, + "loss": 0.8931, + "step": 968 + }, + { + "epoch": 0.02, + "grad_norm": 1.8521262705420087, + "learning_rate": 1.5211930926216643e-05, + "loss": 0.8287, + "step": 969 + }, + { + "epoch": 0.02, + "grad_norm": 1.5934088973018792, + "learning_rate": 1.52276295133438e-05, + "loss": 0.7748, + "step": 970 + }, + { + "epoch": 0.02, + "grad_norm": 0.7763731713709159, + "learning_rate": 1.524332810047096e-05, + "loss": 0.7463, + "step": 971 + }, + { + "epoch": 0.02, + "grad_norm": 1.5718075786790666, + "learning_rate": 1.5259026687598116e-05, + "loss": 0.8677, + "step": 972 + }, + { + "epoch": 0.02, + "grad_norm": 1.5202217933064097, + "learning_rate": 1.5274725274725277e-05, + "loss": 0.8853, + "step": 973 + }, + { + "epoch": 0.02, + "grad_norm": 1.908496148722421, + "learning_rate": 1.5290423861852434e-05, + "loss": 0.9847, + "step": 974 + }, + { + "epoch": 0.02, + "grad_norm": 1.9983693973342627, + "learning_rate": 1.530612244897959e-05, + "loss": 0.8575, + "step": 975 + }, + { + "epoch": 0.02, + "grad_norm": 2.0642760468507175, + "learning_rate": 1.532182103610675e-05, + "loss": 0.918, + "step": 976 + }, + { + "epoch": 0.02, + "grad_norm": 1.593752122281861, + "learning_rate": 1.533751962323391e-05, + "loss": 0.7715, + "step": 977 + }, + { + "epoch": 0.02, + "grad_norm": 0.8055136604337234, + "learning_rate": 1.535321821036107e-05, + "loss": 0.7821, + "step": 978 + }, + { + "epoch": 0.02, + "grad_norm": 2.1811879711046704, + "learning_rate": 1.5368916797488227e-05, + "loss": 0.9018, + "step": 979 + }, + { + "epoch": 0.02, + "grad_norm": 1.849110772973131, + "learning_rate": 1.5384615384615387e-05, + "loss": 0.9642, + "step": 980 + }, + { + "epoch": 0.02, + "grad_norm": 2.6023184393156416, + "learning_rate": 1.5400313971742544e-05, + "loss": 0.9845, + "step": 981 + }, + { + "epoch": 0.02, + "grad_norm": 1.5886188167258046, + "learning_rate": 1.5416012558869705e-05, + "loss": 0.8563, + "step": 982 + }, + { + "epoch": 0.02, + "grad_norm": 1.8636124937380523, + "learning_rate": 1.5431711145996862e-05, + "loss": 0.8673, + "step": 983 + }, + { + "epoch": 0.02, + "grad_norm": 0.7978116497536768, + "learning_rate": 1.544740973312402e-05, + "loss": 0.7033, + "step": 984 + }, + { + "epoch": 0.02, + "grad_norm": 1.6985055139952756, + "learning_rate": 1.546310832025118e-05, + "loss": 0.9896, + "step": 985 + }, + { + "epoch": 0.02, + "grad_norm": 2.466706155487227, + "learning_rate": 1.5478806907378337e-05, + "loss": 0.9341, + "step": 986 + }, + { + "epoch": 0.02, + "grad_norm": 1.9638623399410284, + "learning_rate": 1.5494505494505498e-05, + "loss": 0.9557, + "step": 987 + }, + { + "epoch": 0.02, + "grad_norm": 1.566167363383221, + "learning_rate": 1.5510204081632655e-05, + "loss": 0.8163, + "step": 988 + }, + { + "epoch": 0.02, + "grad_norm": 1.8444569095378358, + "learning_rate": 1.5525902668759812e-05, + "loss": 0.9071, + "step": 989 + }, + { + "epoch": 0.02, + "grad_norm": 1.6870823686486605, + "learning_rate": 1.5541601255886973e-05, + "loss": 0.8416, + "step": 990 + }, + { + "epoch": 0.02, + "grad_norm": 1.9822997512161977, + "learning_rate": 1.555729984301413e-05, + "loss": 0.8912, + "step": 991 + }, + { + "epoch": 0.02, + "grad_norm": 0.7725416479191867, + "learning_rate": 1.5572998430141287e-05, + "loss": 0.6754, + "step": 992 + }, + { + "epoch": 0.02, + "grad_norm": 1.8072860657359135, + "learning_rate": 1.5588697017268448e-05, + "loss": 0.8156, + "step": 993 + }, + { + "epoch": 0.02, + "grad_norm": 1.5576205142203892, + "learning_rate": 1.5604395604395605e-05, + "loss": 0.8398, + "step": 994 + }, + { + "epoch": 0.02, + "grad_norm": 1.6690601497494257, + "learning_rate": 1.5620094191522762e-05, + "loss": 0.8301, + "step": 995 + }, + { + "epoch": 0.02, + "grad_norm": 1.9934777403042514, + "learning_rate": 1.5635792778649923e-05, + "loss": 0.9317, + "step": 996 + }, + { + "epoch": 0.02, + "grad_norm": 2.1023885711939876, + "learning_rate": 1.565149136577708e-05, + "loss": 0.9179, + "step": 997 + }, + { + "epoch": 0.02, + "grad_norm": 2.785734485921509, + "learning_rate": 1.566718995290424e-05, + "loss": 0.92, + "step": 998 + }, + { + "epoch": 0.02, + "grad_norm": 0.8294315221442281, + "learning_rate": 1.5682888540031398e-05, + "loss": 0.7694, + "step": 999 + }, + { + "epoch": 0.02, + "grad_norm": 1.7408536905329814, + "learning_rate": 1.5698587127158558e-05, + "loss": 0.9368, + "step": 1000 + }, + { + "epoch": 0.02, + "grad_norm": 2.9223460048449295, + "learning_rate": 1.5714285714285715e-05, + "loss": 0.8862, + "step": 1001 + }, + { + "epoch": 0.02, + "grad_norm": 1.9664699097755245, + "learning_rate": 1.5729984301412876e-05, + "loss": 0.9045, + "step": 1002 + }, + { + "epoch": 0.02, + "grad_norm": 0.7476226561679135, + "learning_rate": 1.5745682888540033e-05, + "loss": 0.7125, + "step": 1003 + }, + { + "epoch": 0.02, + "grad_norm": 1.8267768635624893, + "learning_rate": 1.5761381475667194e-05, + "loss": 0.8591, + "step": 1004 + }, + { + "epoch": 0.02, + "grad_norm": 0.7811885088697144, + "learning_rate": 1.577708006279435e-05, + "loss": 0.7476, + "step": 1005 + }, + { + "epoch": 0.02, + "grad_norm": 1.7319867445824124, + "learning_rate": 1.5792778649921508e-05, + "loss": 0.8611, + "step": 1006 + }, + { + "epoch": 0.02, + "grad_norm": 1.8284784111941506, + "learning_rate": 1.580847723704867e-05, + "loss": 0.857, + "step": 1007 + }, + { + "epoch": 0.02, + "grad_norm": 1.7476582120222033, + "learning_rate": 1.5824175824175826e-05, + "loss": 1.0608, + "step": 1008 + }, + { + "epoch": 0.02, + "grad_norm": 1.7597688918574248, + "learning_rate": 1.5839874411302983e-05, + "loss": 0.8661, + "step": 1009 + }, + { + "epoch": 0.02, + "grad_norm": 1.835705509581894, + "learning_rate": 1.5855572998430144e-05, + "loss": 0.9551, + "step": 1010 + }, + { + "epoch": 0.02, + "grad_norm": 1.9686796739702284, + "learning_rate": 1.58712715855573e-05, + "loss": 0.9866, + "step": 1011 + }, + { + "epoch": 0.02, + "grad_norm": 1.6025160067417745, + "learning_rate": 1.5886970172684458e-05, + "loss": 0.8566, + "step": 1012 + }, + { + "epoch": 0.02, + "grad_norm": 1.711576904713869, + "learning_rate": 1.590266875981162e-05, + "loss": 0.8671, + "step": 1013 + }, + { + "epoch": 0.02, + "grad_norm": 1.757345083232871, + "learning_rate": 1.5918367346938776e-05, + "loss": 0.94, + "step": 1014 + }, + { + "epoch": 0.02, + "grad_norm": 2.301717888181273, + "learning_rate": 1.5934065934065933e-05, + "loss": 0.8783, + "step": 1015 + }, + { + "epoch": 0.02, + "grad_norm": 1.7211219556980095, + "learning_rate": 1.5949764521193094e-05, + "loss": 0.8207, + "step": 1016 + }, + { + "epoch": 0.02, + "grad_norm": 1.9524587765135006, + "learning_rate": 1.596546310832025e-05, + "loss": 0.9684, + "step": 1017 + }, + { + "epoch": 0.02, + "grad_norm": 1.6286439794728733, + "learning_rate": 1.598116169544741e-05, + "loss": 0.9469, + "step": 1018 + }, + { + "epoch": 0.02, + "grad_norm": 1.5837955888210196, + "learning_rate": 1.599686028257457e-05, + "loss": 1.065, + "step": 1019 + }, + { + "epoch": 0.02, + "grad_norm": 1.8306852508740852, + "learning_rate": 1.601255886970173e-05, + "loss": 0.9815, + "step": 1020 + }, + { + "epoch": 0.02, + "grad_norm": 1.8477042154277004, + "learning_rate": 1.6028257456828886e-05, + "loss": 0.9336, + "step": 1021 + }, + { + "epoch": 0.02, + "grad_norm": 1.4521635996279358, + "learning_rate": 1.6043956043956047e-05, + "loss": 0.8523, + "step": 1022 + }, + { + "epoch": 0.02, + "grad_norm": 1.6595412708483115, + "learning_rate": 1.6059654631083204e-05, + "loss": 0.9234, + "step": 1023 + }, + { + "epoch": 0.02, + "grad_norm": 1.7731929813782725, + "learning_rate": 1.6075353218210365e-05, + "loss": 0.9614, + "step": 1024 + }, + { + "epoch": 0.02, + "grad_norm": 1.5391720480201125, + "learning_rate": 1.6091051805337522e-05, + "loss": 0.941, + "step": 1025 + }, + { + "epoch": 0.02, + "grad_norm": 1.9966204881200489, + "learning_rate": 1.610675039246468e-05, + "loss": 0.9925, + "step": 1026 + }, + { + "epoch": 0.02, + "grad_norm": 1.7465428487799362, + "learning_rate": 1.612244897959184e-05, + "loss": 0.983, + "step": 1027 + }, + { + "epoch": 0.02, + "grad_norm": 1.7249965916826475, + "learning_rate": 1.6138147566718997e-05, + "loss": 0.9284, + "step": 1028 + }, + { + "epoch": 0.02, + "grad_norm": 1.6630510644972063, + "learning_rate": 1.6153846153846154e-05, + "loss": 0.93, + "step": 1029 + }, + { + "epoch": 0.02, + "grad_norm": 1.5269607399806173, + "learning_rate": 1.6169544740973315e-05, + "loss": 0.9028, + "step": 1030 + }, + { + "epoch": 0.02, + "grad_norm": 1.5053971735431786, + "learning_rate": 1.6185243328100472e-05, + "loss": 0.9301, + "step": 1031 + }, + { + "epoch": 0.02, + "grad_norm": 1.9194636476291969, + "learning_rate": 1.620094191522763e-05, + "loss": 0.9461, + "step": 1032 + }, + { + "epoch": 0.02, + "grad_norm": 1.890033225054018, + "learning_rate": 1.621664050235479e-05, + "loss": 0.9252, + "step": 1033 + }, + { + "epoch": 0.02, + "grad_norm": 1.7805666783698804, + "learning_rate": 1.6232339089481947e-05, + "loss": 0.9268, + "step": 1034 + }, + { + "epoch": 0.02, + "grad_norm": 0.8527872554121435, + "learning_rate": 1.6248037676609107e-05, + "loss": 0.6964, + "step": 1035 + }, + { + "epoch": 0.02, + "grad_norm": 1.695598459466154, + "learning_rate": 1.6263736263736265e-05, + "loss": 0.8768, + "step": 1036 + }, + { + "epoch": 0.02, + "grad_norm": 1.598418410374014, + "learning_rate": 1.6279434850863422e-05, + "loss": 0.8476, + "step": 1037 + }, + { + "epoch": 0.02, + "grad_norm": 1.8368816733800333, + "learning_rate": 1.6295133437990582e-05, + "loss": 0.8653, + "step": 1038 + }, + { + "epoch": 0.02, + "grad_norm": 1.7387642535611887, + "learning_rate": 1.631083202511774e-05, + "loss": 0.8871, + "step": 1039 + }, + { + "epoch": 0.02, + "grad_norm": 2.739681194156606, + "learning_rate": 1.63265306122449e-05, + "loss": 0.896, + "step": 1040 + }, + { + "epoch": 0.02, + "grad_norm": 1.5581706314961674, + "learning_rate": 1.6342229199372057e-05, + "loss": 0.9042, + "step": 1041 + }, + { + "epoch": 0.02, + "grad_norm": 1.7725639671273452, + "learning_rate": 1.6357927786499218e-05, + "loss": 0.8966, + "step": 1042 + }, + { + "epoch": 0.02, + "grad_norm": 2.2897587989891757, + "learning_rate": 1.6373626373626375e-05, + "loss": 0.9421, + "step": 1043 + }, + { + "epoch": 0.02, + "grad_norm": 1.7006733497804785, + "learning_rate": 1.6389324960753536e-05, + "loss": 0.9132, + "step": 1044 + }, + { + "epoch": 0.02, + "grad_norm": 1.8141404921074853, + "learning_rate": 1.6405023547880693e-05, + "loss": 0.97, + "step": 1045 + }, + { + "epoch": 0.02, + "grad_norm": 1.641131023121253, + "learning_rate": 1.642072213500785e-05, + "loss": 0.9962, + "step": 1046 + }, + { + "epoch": 0.02, + "grad_norm": 1.732638089049135, + "learning_rate": 1.643642072213501e-05, + "loss": 0.99, + "step": 1047 + }, + { + "epoch": 0.02, + "grad_norm": 1.598505650199421, + "learning_rate": 1.6452119309262168e-05, + "loss": 0.903, + "step": 1048 + }, + { + "epoch": 0.02, + "grad_norm": 1.69738142188311, + "learning_rate": 1.6467817896389325e-05, + "loss": 0.8792, + "step": 1049 + }, + { + "epoch": 0.02, + "grad_norm": 2.2465636070950437, + "learning_rate": 1.6483516483516486e-05, + "loss": 0.9293, + "step": 1050 + }, + { + "epoch": 0.02, + "grad_norm": 1.6340687130723448, + "learning_rate": 1.6499215070643643e-05, + "loss": 0.9264, + "step": 1051 + }, + { + "epoch": 0.02, + "grad_norm": 1.9686730191849424, + "learning_rate": 1.65149136577708e-05, + "loss": 1.0199, + "step": 1052 + }, + { + "epoch": 0.02, + "grad_norm": 1.8472297079203757, + "learning_rate": 1.653061224489796e-05, + "loss": 0.8137, + "step": 1053 + }, + { + "epoch": 0.02, + "grad_norm": 2.328817698761475, + "learning_rate": 1.6546310832025118e-05, + "loss": 0.8238, + "step": 1054 + }, + { + "epoch": 0.02, + "grad_norm": 1.5934781077148255, + "learning_rate": 1.6562009419152278e-05, + "loss": 0.9649, + "step": 1055 + }, + { + "epoch": 0.02, + "grad_norm": 2.282451742788982, + "learning_rate": 1.6577708006279435e-05, + "loss": 0.8592, + "step": 1056 + }, + { + "epoch": 0.02, + "grad_norm": 0.7707026151558081, + "learning_rate": 1.6593406593406596e-05, + "loss": 0.7066, + "step": 1057 + }, + { + "epoch": 0.02, + "grad_norm": 2.831371824468732, + "learning_rate": 1.6609105180533753e-05, + "loss": 0.9231, + "step": 1058 + }, + { + "epoch": 0.02, + "grad_norm": 1.6663891312401276, + "learning_rate": 1.662480376766091e-05, + "loss": 0.8664, + "step": 1059 + }, + { + "epoch": 0.02, + "grad_norm": 1.6267823004793067, + "learning_rate": 1.664050235478807e-05, + "loss": 0.9282, + "step": 1060 + }, + { + "epoch": 0.02, + "grad_norm": 1.8460454810294507, + "learning_rate": 1.6656200941915228e-05, + "loss": 0.9155, + "step": 1061 + }, + { + "epoch": 0.03, + "grad_norm": 1.5167022337641614, + "learning_rate": 1.667189952904239e-05, + "loss": 0.9527, + "step": 1062 + }, + { + "epoch": 0.03, + "grad_norm": 2.098286807679052, + "learning_rate": 1.6687598116169546e-05, + "loss": 0.9412, + "step": 1063 + }, + { + "epoch": 0.03, + "grad_norm": 1.8815803544498542, + "learning_rate": 1.6703296703296707e-05, + "loss": 1.0518, + "step": 1064 + }, + { + "epoch": 0.03, + "grad_norm": 0.7817009056195549, + "learning_rate": 1.6718995290423864e-05, + "loss": 0.7361, + "step": 1065 + }, + { + "epoch": 0.03, + "grad_norm": 1.931493191141776, + "learning_rate": 1.673469387755102e-05, + "loss": 0.7894, + "step": 1066 + }, + { + "epoch": 0.03, + "grad_norm": 1.74129109113232, + "learning_rate": 1.675039246467818e-05, + "loss": 0.8199, + "step": 1067 + }, + { + "epoch": 0.03, + "grad_norm": 1.6442415174466112, + "learning_rate": 1.676609105180534e-05, + "loss": 0.725, + "step": 1068 + }, + { + "epoch": 0.03, + "grad_norm": 0.8313686642602083, + "learning_rate": 1.6781789638932496e-05, + "loss": 0.7638, + "step": 1069 + }, + { + "epoch": 0.03, + "grad_norm": 1.6348538789553688, + "learning_rate": 1.6797488226059656e-05, + "loss": 0.8237, + "step": 1070 + }, + { + "epoch": 0.03, + "grad_norm": 2.061351592462051, + "learning_rate": 1.6813186813186814e-05, + "loss": 0.8823, + "step": 1071 + }, + { + "epoch": 0.03, + "grad_norm": 1.8916593024413737, + "learning_rate": 1.682888540031397e-05, + "loss": 0.9101, + "step": 1072 + }, + { + "epoch": 0.03, + "grad_norm": 1.9439064675822377, + "learning_rate": 1.684458398744113e-05, + "loss": 0.8654, + "step": 1073 + }, + { + "epoch": 0.03, + "grad_norm": 2.012929904503322, + "learning_rate": 1.686028257456829e-05, + "loss": 0.9729, + "step": 1074 + }, + { + "epoch": 0.03, + "grad_norm": 1.7152719426923648, + "learning_rate": 1.687598116169545e-05, + "loss": 0.8923, + "step": 1075 + }, + { + "epoch": 0.03, + "grad_norm": 1.6851528824302304, + "learning_rate": 1.6891679748822606e-05, + "loss": 0.776, + "step": 1076 + }, + { + "epoch": 0.03, + "grad_norm": 1.5522108375865935, + "learning_rate": 1.6907378335949767e-05, + "loss": 0.8671, + "step": 1077 + }, + { + "epoch": 0.03, + "grad_norm": 1.921161063626231, + "learning_rate": 1.6923076923076924e-05, + "loss": 0.8312, + "step": 1078 + }, + { + "epoch": 0.03, + "grad_norm": 1.493900920847617, + "learning_rate": 1.6938775510204085e-05, + "loss": 0.8418, + "step": 1079 + }, + { + "epoch": 0.03, + "grad_norm": 1.6965066065331833, + "learning_rate": 1.6954474097331242e-05, + "loss": 0.8934, + "step": 1080 + }, + { + "epoch": 0.03, + "grad_norm": 1.761065476488696, + "learning_rate": 1.69701726844584e-05, + "loss": 0.9618, + "step": 1081 + }, + { + "epoch": 0.03, + "grad_norm": 0.8736001025749119, + "learning_rate": 1.698587127158556e-05, + "loss": 0.7787, + "step": 1082 + }, + { + "epoch": 0.03, + "grad_norm": 2.4821005283278925, + "learning_rate": 1.7001569858712717e-05, + "loss": 0.9948, + "step": 1083 + }, + { + "epoch": 0.03, + "grad_norm": 1.7993909578879006, + "learning_rate": 1.7017268445839878e-05, + "loss": 0.8724, + "step": 1084 + }, + { + "epoch": 0.03, + "grad_norm": 1.746389627790212, + "learning_rate": 1.7032967032967035e-05, + "loss": 0.8467, + "step": 1085 + }, + { + "epoch": 0.03, + "grad_norm": 0.7939984856872485, + "learning_rate": 1.7048665620094192e-05, + "loss": 0.7164, + "step": 1086 + }, + { + "epoch": 0.03, + "grad_norm": 1.5804588610811858, + "learning_rate": 1.7064364207221352e-05, + "loss": 0.789, + "step": 1087 + }, + { + "epoch": 0.03, + "grad_norm": 1.9896474011641219, + "learning_rate": 1.708006279434851e-05, + "loss": 0.9485, + "step": 1088 + }, + { + "epoch": 0.03, + "grad_norm": 1.629114531833108, + "learning_rate": 1.7095761381475667e-05, + "loss": 0.8357, + "step": 1089 + }, + { + "epoch": 0.03, + "grad_norm": 1.7858607886452438, + "learning_rate": 1.7111459968602827e-05, + "loss": 0.8863, + "step": 1090 + }, + { + "epoch": 0.03, + "grad_norm": 1.4254863909121622, + "learning_rate": 1.7127158555729985e-05, + "loss": 0.8703, + "step": 1091 + }, + { + "epoch": 0.03, + "grad_norm": 2.768838923476117, + "learning_rate": 1.7142857142857142e-05, + "loss": 0.9257, + "step": 1092 + }, + { + "epoch": 0.03, + "grad_norm": 1.7023632149808434, + "learning_rate": 1.7158555729984302e-05, + "loss": 0.9413, + "step": 1093 + }, + { + "epoch": 0.03, + "grad_norm": 1.5010766473253463, + "learning_rate": 1.717425431711146e-05, + "loss": 0.8407, + "step": 1094 + }, + { + "epoch": 0.03, + "grad_norm": 1.8856666610686947, + "learning_rate": 1.718995290423862e-05, + "loss": 0.9097, + "step": 1095 + }, + { + "epoch": 0.03, + "grad_norm": 1.7635552193735515, + "learning_rate": 1.7205651491365777e-05, + "loss": 1.0318, + "step": 1096 + }, + { + "epoch": 0.03, + "grad_norm": 1.6367608431052798, + "learning_rate": 1.7221350078492938e-05, + "loss": 0.9007, + "step": 1097 + }, + { + "epoch": 0.03, + "grad_norm": 1.9502825884315724, + "learning_rate": 1.7237048665620095e-05, + "loss": 0.954, + "step": 1098 + }, + { + "epoch": 0.03, + "grad_norm": 1.7776157281583593, + "learning_rate": 1.7252747252747256e-05, + "loss": 0.9629, + "step": 1099 + }, + { + "epoch": 0.03, + "grad_norm": 1.7035968879292, + "learning_rate": 1.7268445839874413e-05, + "loss": 1.0787, + "step": 1100 + }, + { + "epoch": 0.03, + "grad_norm": 2.210318233089424, + "learning_rate": 1.7284144427001574e-05, + "loss": 0.9031, + "step": 1101 + }, + { + "epoch": 0.03, + "grad_norm": 1.5088504816373227, + "learning_rate": 1.729984301412873e-05, + "loss": 0.9137, + "step": 1102 + }, + { + "epoch": 0.03, + "grad_norm": 1.9745636417896977, + "learning_rate": 1.7315541601255888e-05, + "loss": 0.8309, + "step": 1103 + }, + { + "epoch": 0.03, + "grad_norm": 1.5940498471622886, + "learning_rate": 1.733124018838305e-05, + "loss": 1.0742, + "step": 1104 + }, + { + "epoch": 0.03, + "grad_norm": 1.8149212644026143, + "learning_rate": 1.7346938775510206e-05, + "loss": 0.9549, + "step": 1105 + }, + { + "epoch": 0.03, + "grad_norm": 0.7670450271463543, + "learning_rate": 1.7362637362637363e-05, + "loss": 0.6759, + "step": 1106 + }, + { + "epoch": 0.03, + "grad_norm": 1.6721168301318938, + "learning_rate": 1.7378335949764523e-05, + "loss": 0.915, + "step": 1107 + }, + { + "epoch": 0.03, + "grad_norm": 1.7715492743812231, + "learning_rate": 1.739403453689168e-05, + "loss": 0.939, + "step": 1108 + }, + { + "epoch": 0.03, + "grad_norm": 1.94186325038456, + "learning_rate": 1.7409733124018838e-05, + "loss": 0.9972, + "step": 1109 + }, + { + "epoch": 0.03, + "grad_norm": 1.6448047206793759, + "learning_rate": 1.7425431711146e-05, + "loss": 0.9478, + "step": 1110 + }, + { + "epoch": 0.03, + "grad_norm": 1.6481457468396103, + "learning_rate": 1.7441130298273156e-05, + "loss": 0.9524, + "step": 1111 + }, + { + "epoch": 0.03, + "grad_norm": 1.7334628357476378, + "learning_rate": 1.7456828885400316e-05, + "loss": 0.8066, + "step": 1112 + }, + { + "epoch": 0.03, + "grad_norm": 1.8750234494847737, + "learning_rate": 1.7472527472527473e-05, + "loss": 0.9117, + "step": 1113 + }, + { + "epoch": 0.03, + "grad_norm": 1.8175527826179987, + "learning_rate": 1.748822605965463e-05, + "loss": 0.9825, + "step": 1114 + }, + { + "epoch": 0.03, + "grad_norm": 0.8169257606901688, + "learning_rate": 1.750392464678179e-05, + "loss": 0.7427, + "step": 1115 + }, + { + "epoch": 0.03, + "grad_norm": 1.813581058034854, + "learning_rate": 1.751962323390895e-05, + "loss": 1.0587, + "step": 1116 + }, + { + "epoch": 0.03, + "grad_norm": 1.9571936648468327, + "learning_rate": 1.753532182103611e-05, + "loss": 0.9193, + "step": 1117 + }, + { + "epoch": 0.03, + "grad_norm": 1.61440990528249, + "learning_rate": 1.7551020408163266e-05, + "loss": 0.7104, + "step": 1118 + }, + { + "epoch": 0.03, + "grad_norm": 1.7516861061768723, + "learning_rate": 1.7566718995290427e-05, + "loss": 0.9463, + "step": 1119 + }, + { + "epoch": 0.03, + "grad_norm": 1.750254853597998, + "learning_rate": 1.7582417582417584e-05, + "loss": 0.8284, + "step": 1120 + }, + { + "epoch": 0.03, + "grad_norm": 1.5428730127655985, + "learning_rate": 1.7598116169544744e-05, + "loss": 1.0019, + "step": 1121 + }, + { + "epoch": 0.03, + "grad_norm": 2.1617631520203435, + "learning_rate": 1.76138147566719e-05, + "loss": 0.8648, + "step": 1122 + }, + { + "epoch": 0.03, + "grad_norm": 0.80223562332589, + "learning_rate": 1.762951334379906e-05, + "loss": 0.6946, + "step": 1123 + }, + { + "epoch": 0.03, + "grad_norm": 1.757019485550833, + "learning_rate": 1.764521193092622e-05, + "loss": 0.9696, + "step": 1124 + }, + { + "epoch": 0.03, + "grad_norm": 0.713278852551737, + "learning_rate": 1.7660910518053377e-05, + "loss": 0.7207, + "step": 1125 + }, + { + "epoch": 0.03, + "grad_norm": 1.916770080317809, + "learning_rate": 1.7676609105180537e-05, + "loss": 0.988, + "step": 1126 + }, + { + "epoch": 0.03, + "grad_norm": 2.4112031048576616, + "learning_rate": 1.7692307692307694e-05, + "loss": 0.9548, + "step": 1127 + }, + { + "epoch": 0.03, + "grad_norm": 0.8044979764858745, + "learning_rate": 1.770800627943485e-05, + "loss": 0.699, + "step": 1128 + }, + { + "epoch": 0.03, + "grad_norm": 1.8068883019221884, + "learning_rate": 1.772370486656201e-05, + "loss": 0.8292, + "step": 1129 + }, + { + "epoch": 0.03, + "grad_norm": 1.5183194784403788, + "learning_rate": 1.773940345368917e-05, + "loss": 0.9028, + "step": 1130 + }, + { + "epoch": 0.03, + "grad_norm": 1.6878869451395755, + "learning_rate": 1.7755102040816327e-05, + "loss": 0.9346, + "step": 1131 + }, + { + "epoch": 0.03, + "grad_norm": 1.8907619048648676, + "learning_rate": 1.7770800627943487e-05, + "loss": 0.8079, + "step": 1132 + }, + { + "epoch": 0.03, + "grad_norm": 1.5185417896900544, + "learning_rate": 1.7786499215070644e-05, + "loss": 0.9469, + "step": 1133 + }, + { + "epoch": 0.03, + "grad_norm": 2.0589855908812464, + "learning_rate": 1.78021978021978e-05, + "loss": 0.7822, + "step": 1134 + }, + { + "epoch": 0.03, + "grad_norm": 1.8567627729614733, + "learning_rate": 1.7817896389324962e-05, + "loss": 1.011, + "step": 1135 + }, + { + "epoch": 0.03, + "grad_norm": 0.8016376845323346, + "learning_rate": 1.783359497645212e-05, + "loss": 0.6987, + "step": 1136 + }, + { + "epoch": 0.03, + "grad_norm": 1.7570276131462177, + "learning_rate": 1.784929356357928e-05, + "loss": 1.0067, + "step": 1137 + }, + { + "epoch": 0.03, + "grad_norm": 1.677966758908019, + "learning_rate": 1.7864992150706437e-05, + "loss": 0.882, + "step": 1138 + }, + { + "epoch": 0.03, + "grad_norm": 1.6198741128949623, + "learning_rate": 1.7880690737833598e-05, + "loss": 0.8348, + "step": 1139 + }, + { + "epoch": 0.03, + "grad_norm": 1.6936785121424633, + "learning_rate": 1.7896389324960755e-05, + "loss": 0.9207, + "step": 1140 + }, + { + "epoch": 0.03, + "grad_norm": 1.955299119997513, + "learning_rate": 1.7912087912087915e-05, + "loss": 0.93, + "step": 1141 + }, + { + "epoch": 0.03, + "grad_norm": 0.755262477339357, + "learning_rate": 1.7927786499215073e-05, + "loss": 0.6656, + "step": 1142 + }, + { + "epoch": 0.03, + "grad_norm": 2.3311813552153122, + "learning_rate": 1.7943485086342233e-05, + "loss": 0.8952, + "step": 1143 + }, + { + "epoch": 0.03, + "grad_norm": 2.0836813438884083, + "learning_rate": 1.795918367346939e-05, + "loss": 0.7772, + "step": 1144 + }, + { + "epoch": 0.03, + "grad_norm": 1.8506119195169772, + "learning_rate": 1.7974882260596548e-05, + "loss": 0.8447, + "step": 1145 + }, + { + "epoch": 0.03, + "grad_norm": 2.352171725863756, + "learning_rate": 1.7990580847723708e-05, + "loss": 0.8483, + "step": 1146 + }, + { + "epoch": 0.03, + "grad_norm": 1.622612272916359, + "learning_rate": 1.8006279434850865e-05, + "loss": 0.9515, + "step": 1147 + }, + { + "epoch": 0.03, + "grad_norm": 2.081121602077935, + "learning_rate": 1.8021978021978023e-05, + "loss": 1.0211, + "step": 1148 + }, + { + "epoch": 0.03, + "grad_norm": 2.3898030396034198, + "learning_rate": 1.803767660910518e-05, + "loss": 0.9911, + "step": 1149 + }, + { + "epoch": 0.03, + "grad_norm": 2.1311499949963095, + "learning_rate": 1.805337519623234e-05, + "loss": 0.9874, + "step": 1150 + }, + { + "epoch": 0.03, + "grad_norm": 2.2189962435026276, + "learning_rate": 1.8069073783359498e-05, + "loss": 0.8518, + "step": 1151 + }, + { + "epoch": 0.03, + "grad_norm": 1.5316187144730498, + "learning_rate": 1.8084772370486658e-05, + "loss": 0.8599, + "step": 1152 + }, + { + "epoch": 0.03, + "grad_norm": 1.9780264226512982, + "learning_rate": 1.8100470957613815e-05, + "loss": 1.0885, + "step": 1153 + }, + { + "epoch": 0.03, + "grad_norm": 1.687085059265193, + "learning_rate": 1.8116169544740976e-05, + "loss": 0.7666, + "step": 1154 + }, + { + "epoch": 0.03, + "grad_norm": 1.996912300194023, + "learning_rate": 1.8131868131868133e-05, + "loss": 0.9141, + "step": 1155 + }, + { + "epoch": 0.03, + "grad_norm": 1.566437268336489, + "learning_rate": 1.814756671899529e-05, + "loss": 0.8344, + "step": 1156 + }, + { + "epoch": 0.03, + "grad_norm": 1.5672350801792496, + "learning_rate": 1.816326530612245e-05, + "loss": 1.0537, + "step": 1157 + }, + { + "epoch": 0.03, + "grad_norm": 1.8575512156783247, + "learning_rate": 1.8178963893249608e-05, + "loss": 0.8998, + "step": 1158 + }, + { + "epoch": 0.03, + "grad_norm": 1.7559543810234852, + "learning_rate": 1.819466248037677e-05, + "loss": 1.0244, + "step": 1159 + }, + { + "epoch": 0.03, + "grad_norm": 1.8730211900233062, + "learning_rate": 1.8210361067503926e-05, + "loss": 1.1257, + "step": 1160 + }, + { + "epoch": 0.03, + "grad_norm": 1.7945693191788292, + "learning_rate": 1.8226059654631086e-05, + "loss": 0.8524, + "step": 1161 + }, + { + "epoch": 0.03, + "grad_norm": 5.888204810286345, + "learning_rate": 1.8241758241758244e-05, + "loss": 0.9743, + "step": 1162 + }, + { + "epoch": 0.03, + "grad_norm": 2.041279838696801, + "learning_rate": 1.8257456828885404e-05, + "loss": 0.9562, + "step": 1163 + }, + { + "epoch": 0.03, + "grad_norm": 1.5786752555345875, + "learning_rate": 1.827315541601256e-05, + "loss": 0.9275, + "step": 1164 + }, + { + "epoch": 0.03, + "grad_norm": 1.9853177734739746, + "learning_rate": 1.828885400313972e-05, + "loss": 0.9203, + "step": 1165 + }, + { + "epoch": 0.03, + "grad_norm": 1.740944376156382, + "learning_rate": 1.830455259026688e-05, + "loss": 1.0018, + "step": 1166 + }, + { + "epoch": 0.03, + "grad_norm": 1.7288784282133334, + "learning_rate": 1.8320251177394036e-05, + "loss": 0.9078, + "step": 1167 + }, + { + "epoch": 0.03, + "grad_norm": 1.9163275405802203, + "learning_rate": 1.8335949764521194e-05, + "loss": 0.8576, + "step": 1168 + }, + { + "epoch": 0.03, + "grad_norm": 1.7425145398696071, + "learning_rate": 1.835164835164835e-05, + "loss": 0.8877, + "step": 1169 + }, + { + "epoch": 0.03, + "grad_norm": 1.5701034825135922, + "learning_rate": 1.836734693877551e-05, + "loss": 0.9163, + "step": 1170 + }, + { + "epoch": 0.03, + "grad_norm": 1.7169508861211003, + "learning_rate": 1.838304552590267e-05, + "loss": 0.7594, + "step": 1171 + }, + { + "epoch": 0.03, + "grad_norm": 2.0052056106700102, + "learning_rate": 1.839874411302983e-05, + "loss": 0.8714, + "step": 1172 + }, + { + "epoch": 0.03, + "grad_norm": 1.7440105672379582, + "learning_rate": 1.8414442700156986e-05, + "loss": 0.9107, + "step": 1173 + }, + { + "epoch": 0.03, + "grad_norm": 1.6818949027274406, + "learning_rate": 1.8430141287284147e-05, + "loss": 0.7311, + "step": 1174 + }, + { + "epoch": 0.03, + "grad_norm": 2.3430022924804446, + "learning_rate": 1.8445839874411304e-05, + "loss": 0.8828, + "step": 1175 + }, + { + "epoch": 0.03, + "grad_norm": 1.6585730099519778, + "learning_rate": 1.8461538461538465e-05, + "loss": 0.8203, + "step": 1176 + }, + { + "epoch": 0.03, + "grad_norm": 1.6547109176240111, + "learning_rate": 1.8477237048665622e-05, + "loss": 0.9512, + "step": 1177 + }, + { + "epoch": 0.03, + "grad_norm": 2.0684489291244805, + "learning_rate": 1.849293563579278e-05, + "loss": 0.8674, + "step": 1178 + }, + { + "epoch": 0.03, + "grad_norm": 1.6678597215498396, + "learning_rate": 1.850863422291994e-05, + "loss": 0.9503, + "step": 1179 + }, + { + "epoch": 0.03, + "grad_norm": 1.7005610935104392, + "learning_rate": 1.8524332810047097e-05, + "loss": 0.8669, + "step": 1180 + }, + { + "epoch": 0.03, + "grad_norm": 1.7305614666616425, + "learning_rate": 1.8540031397174257e-05, + "loss": 0.8211, + "step": 1181 + }, + { + "epoch": 0.03, + "grad_norm": 1.7861661590810303, + "learning_rate": 1.8555729984301415e-05, + "loss": 0.845, + "step": 1182 + }, + { + "epoch": 0.03, + "grad_norm": 1.7405164318259554, + "learning_rate": 1.8571428571428575e-05, + "loss": 0.8337, + "step": 1183 + }, + { + "epoch": 0.03, + "grad_norm": 2.1711316068882116, + "learning_rate": 1.8587127158555732e-05, + "loss": 0.9917, + "step": 1184 + }, + { + "epoch": 0.03, + "grad_norm": 1.9918309056059893, + "learning_rate": 1.860282574568289e-05, + "loss": 1.0146, + "step": 1185 + }, + { + "epoch": 0.03, + "grad_norm": 1.9234396274022607, + "learning_rate": 1.861852433281005e-05, + "loss": 0.8527, + "step": 1186 + }, + { + "epoch": 0.03, + "grad_norm": 1.6085900139300648, + "learning_rate": 1.8634222919937207e-05, + "loss": 0.8574, + "step": 1187 + }, + { + "epoch": 0.03, + "grad_norm": 1.6806887818640415, + "learning_rate": 1.8649921507064364e-05, + "loss": 0.8368, + "step": 1188 + }, + { + "epoch": 0.03, + "grad_norm": 1.707492387996025, + "learning_rate": 1.866562009419152e-05, + "loss": 0.9028, + "step": 1189 + }, + { + "epoch": 0.03, + "grad_norm": 0.7895973101878129, + "learning_rate": 1.8681318681318682e-05, + "loss": 0.6782, + "step": 1190 + }, + { + "epoch": 0.03, + "grad_norm": 3.063816965702635, + "learning_rate": 1.869701726844584e-05, + "loss": 0.894, + "step": 1191 + }, + { + "epoch": 0.03, + "grad_norm": 3.7390977014850284, + "learning_rate": 1.8712715855573e-05, + "loss": 0.9468, + "step": 1192 + }, + { + "epoch": 0.03, + "grad_norm": 0.7703475733779297, + "learning_rate": 1.8728414442700157e-05, + "loss": 0.7231, + "step": 1193 + }, + { + "epoch": 0.03, + "grad_norm": 1.8739158418774882, + "learning_rate": 1.8744113029827318e-05, + "loss": 0.8819, + "step": 1194 + }, + { + "epoch": 0.03, + "grad_norm": 8.737580740762265, + "learning_rate": 1.8759811616954475e-05, + "loss": 0.8957, + "step": 1195 + }, + { + "epoch": 0.03, + "grad_norm": 1.7041583481456903, + "learning_rate": 1.8775510204081636e-05, + "loss": 0.9181, + "step": 1196 + }, + { + "epoch": 0.03, + "grad_norm": 0.809602733901579, + "learning_rate": 1.8791208791208793e-05, + "loss": 0.7942, + "step": 1197 + }, + { + "epoch": 0.03, + "grad_norm": 1.6110804724752572, + "learning_rate": 1.8806907378335953e-05, + "loss": 0.9586, + "step": 1198 + }, + { + "epoch": 0.03, + "grad_norm": 2.3152876604092687, + "learning_rate": 1.882260596546311e-05, + "loss": 0.9108, + "step": 1199 + }, + { + "epoch": 0.03, + "grad_norm": 1.5924013812300344, + "learning_rate": 1.8838304552590268e-05, + "loss": 0.8681, + "step": 1200 + }, + { + "epoch": 0.03, + "grad_norm": 1.6887102845938957, + "learning_rate": 1.885400313971743e-05, + "loss": 0.8598, + "step": 1201 + }, + { + "epoch": 0.03, + "grad_norm": 3.569675493510987, + "learning_rate": 1.8869701726844586e-05, + "loss": 0.9944, + "step": 1202 + }, + { + "epoch": 0.03, + "grad_norm": 3.4911324378838438, + "learning_rate": 1.8885400313971746e-05, + "loss": 0.9116, + "step": 1203 + }, + { + "epoch": 0.03, + "grad_norm": 2.067467331059619, + "learning_rate": 1.8901098901098903e-05, + "loss": 1.0619, + "step": 1204 + }, + { + "epoch": 0.03, + "grad_norm": 2.5709214132508795, + "learning_rate": 1.891679748822606e-05, + "loss": 0.8059, + "step": 1205 + }, + { + "epoch": 0.03, + "grad_norm": 1.529084288441918, + "learning_rate": 1.893249607535322e-05, + "loss": 0.8705, + "step": 1206 + }, + { + "epoch": 0.03, + "grad_norm": 1.638136447716283, + "learning_rate": 1.8948194662480378e-05, + "loss": 0.8296, + "step": 1207 + }, + { + "epoch": 0.03, + "grad_norm": 1.559373680616587, + "learning_rate": 1.8963893249607535e-05, + "loss": 1.0566, + "step": 1208 + }, + { + "epoch": 0.03, + "grad_norm": 3.9357455190823294, + "learning_rate": 1.8979591836734696e-05, + "loss": 0.9935, + "step": 1209 + }, + { + "epoch": 0.03, + "grad_norm": 2.012555344069866, + "learning_rate": 1.8995290423861853e-05, + "loss": 0.915, + "step": 1210 + }, + { + "epoch": 0.03, + "grad_norm": 2.2446725609960114, + "learning_rate": 1.901098901098901e-05, + "loss": 1.0375, + "step": 1211 + }, + { + "epoch": 0.03, + "grad_norm": 1.6713800353547097, + "learning_rate": 1.902668759811617e-05, + "loss": 1.0152, + "step": 1212 + }, + { + "epoch": 0.03, + "grad_norm": 1.7676849971123423, + "learning_rate": 1.9042386185243328e-05, + "loss": 0.9323, + "step": 1213 + }, + { + "epoch": 0.03, + "grad_norm": 1.8293956067334562, + "learning_rate": 1.905808477237049e-05, + "loss": 0.9304, + "step": 1214 + }, + { + "epoch": 0.03, + "grad_norm": 4.430152477776286, + "learning_rate": 1.9073783359497646e-05, + "loss": 0.9531, + "step": 1215 + }, + { + "epoch": 0.03, + "grad_norm": 2.1666425978965314, + "learning_rate": 1.9089481946624807e-05, + "loss": 0.8836, + "step": 1216 + }, + { + "epoch": 0.03, + "grad_norm": 1.7428529890906133, + "learning_rate": 1.9105180533751964e-05, + "loss": 0.9245, + "step": 1217 + }, + { + "epoch": 0.03, + "grad_norm": 1.915758423720003, + "learning_rate": 1.9120879120879124e-05, + "loss": 0.9989, + "step": 1218 + }, + { + "epoch": 0.03, + "grad_norm": 2.310725892782091, + "learning_rate": 1.913657770800628e-05, + "loss": 0.8562, + "step": 1219 + }, + { + "epoch": 0.03, + "grad_norm": 1.8169842376620158, + "learning_rate": 1.9152276295133442e-05, + "loss": 1.1397, + "step": 1220 + }, + { + "epoch": 0.03, + "grad_norm": 1.6748581017590196, + "learning_rate": 1.91679748822606e-05, + "loss": 0.8112, + "step": 1221 + }, + { + "epoch": 0.03, + "grad_norm": 1.9530031733814046, + "learning_rate": 1.9183673469387756e-05, + "loss": 0.9722, + "step": 1222 + }, + { + "epoch": 0.03, + "grad_norm": 1.7165674057188265, + "learning_rate": 1.9199372056514917e-05, + "loss": 0.9473, + "step": 1223 + }, + { + "epoch": 0.03, + "grad_norm": 2.19117208074782, + "learning_rate": 1.9215070643642074e-05, + "loss": 0.9643, + "step": 1224 + }, + { + "epoch": 0.03, + "grad_norm": 0.7794256492332413, + "learning_rate": 1.923076923076923e-05, + "loss": 0.7344, + "step": 1225 + }, + { + "epoch": 0.03, + "grad_norm": 1.7385545374453708, + "learning_rate": 1.9246467817896392e-05, + "loss": 1.0897, + "step": 1226 + }, + { + "epoch": 0.03, + "grad_norm": 1.7332437182269864, + "learning_rate": 1.926216640502355e-05, + "loss": 0.7487, + "step": 1227 + }, + { + "epoch": 0.03, + "grad_norm": 1.816406539867619, + "learning_rate": 1.9277864992150706e-05, + "loss": 0.8797, + "step": 1228 + }, + { + "epoch": 0.03, + "grad_norm": 0.8278453166840234, + "learning_rate": 1.9293563579277867e-05, + "loss": 0.7135, + "step": 1229 + }, + { + "epoch": 0.03, + "grad_norm": 1.8025344572012048, + "learning_rate": 1.9309262166405024e-05, + "loss": 0.8513, + "step": 1230 + }, + { + "epoch": 0.03, + "grad_norm": 1.8051474782212327, + "learning_rate": 1.932496075353218e-05, + "loss": 0.9048, + "step": 1231 + }, + { + "epoch": 0.03, + "grad_norm": 2.1225371796826753, + "learning_rate": 1.9340659340659342e-05, + "loss": 0.9114, + "step": 1232 + }, + { + "epoch": 0.03, + "grad_norm": 1.6788167620205474, + "learning_rate": 1.93563579277865e-05, + "loss": 0.9201, + "step": 1233 + }, + { + "epoch": 0.03, + "grad_norm": 1.8999017396152391, + "learning_rate": 1.937205651491366e-05, + "loss": 0.8679, + "step": 1234 + }, + { + "epoch": 0.03, + "grad_norm": 3.901529018288656, + "learning_rate": 1.9387755102040817e-05, + "loss": 0.925, + "step": 1235 + }, + { + "epoch": 0.03, + "grad_norm": 2.133672616097761, + "learning_rate": 1.9403453689167977e-05, + "loss": 0.8762, + "step": 1236 + }, + { + "epoch": 0.03, + "grad_norm": 1.7268283999332945, + "learning_rate": 1.9419152276295135e-05, + "loss": 1.0006, + "step": 1237 + }, + { + "epoch": 0.03, + "grad_norm": 1.7617993586801066, + "learning_rate": 1.9434850863422295e-05, + "loss": 0.9924, + "step": 1238 + }, + { + "epoch": 0.03, + "grad_norm": 0.8053610725777911, + "learning_rate": 1.9450549450549452e-05, + "loss": 0.6373, + "step": 1239 + }, + { + "epoch": 0.03, + "grad_norm": 2.210392223097973, + "learning_rate": 1.9466248037676613e-05, + "loss": 0.9383, + "step": 1240 + }, + { + "epoch": 0.03, + "grad_norm": 2.06762781429194, + "learning_rate": 1.948194662480377e-05, + "loss": 0.9986, + "step": 1241 + }, + { + "epoch": 0.03, + "grad_norm": 1.568915982035608, + "learning_rate": 1.9497645211930927e-05, + "loss": 0.8937, + "step": 1242 + }, + { + "epoch": 0.03, + "grad_norm": 1.6055743475579207, + "learning_rate": 1.9513343799058088e-05, + "loss": 0.8853, + "step": 1243 + }, + { + "epoch": 0.03, + "grad_norm": 0.7963915300837879, + "learning_rate": 1.9529042386185245e-05, + "loss": 0.7263, + "step": 1244 + }, + { + "epoch": 0.03, + "grad_norm": 1.790613605571093, + "learning_rate": 1.9544740973312402e-05, + "loss": 0.9934, + "step": 1245 + }, + { + "epoch": 0.03, + "grad_norm": 2.060987799540306, + "learning_rate": 1.9560439560439563e-05, + "loss": 0.8705, + "step": 1246 + }, + { + "epoch": 0.03, + "grad_norm": 1.6747518949209554, + "learning_rate": 1.957613814756672e-05, + "loss": 0.8405, + "step": 1247 + }, + { + "epoch": 0.03, + "grad_norm": 1.831060177540496, + "learning_rate": 1.9591836734693877e-05, + "loss": 0.9969, + "step": 1248 + }, + { + "epoch": 0.03, + "grad_norm": 1.993645280477595, + "learning_rate": 1.9607535321821038e-05, + "loss": 0.9378, + "step": 1249 + }, + { + "epoch": 0.03, + "grad_norm": 1.6711536377150034, + "learning_rate": 1.9623233908948195e-05, + "loss": 0.8358, + "step": 1250 + }, + { + "epoch": 0.03, + "grad_norm": 0.7378135747859558, + "learning_rate": 1.9638932496075356e-05, + "loss": 0.6993, + "step": 1251 + }, + { + "epoch": 0.03, + "grad_norm": 2.0635761553959835, + "learning_rate": 1.9654631083202513e-05, + "loss": 0.9667, + "step": 1252 + }, + { + "epoch": 0.03, + "grad_norm": 1.662249722691596, + "learning_rate": 1.967032967032967e-05, + "loss": 0.9054, + "step": 1253 + }, + { + "epoch": 0.03, + "grad_norm": 2.081438049333332, + "learning_rate": 1.968602825745683e-05, + "loss": 0.7978, + "step": 1254 + }, + { + "epoch": 0.03, + "grad_norm": 2.1612184848968536, + "learning_rate": 1.9701726844583988e-05, + "loss": 0.9431, + "step": 1255 + }, + { + "epoch": 0.03, + "grad_norm": 1.6679304346438526, + "learning_rate": 1.971742543171115e-05, + "loss": 0.8802, + "step": 1256 + }, + { + "epoch": 0.03, + "grad_norm": 1.970666622133577, + "learning_rate": 1.9733124018838306e-05, + "loss": 0.8864, + "step": 1257 + }, + { + "epoch": 0.03, + "grad_norm": 1.5368589205116034, + "learning_rate": 1.9748822605965466e-05, + "loss": 0.9217, + "step": 1258 + }, + { + "epoch": 0.03, + "grad_norm": 1.8319439436207463, + "learning_rate": 1.9764521193092623e-05, + "loss": 0.8881, + "step": 1259 + }, + { + "epoch": 0.03, + "grad_norm": 1.8067770575223223, + "learning_rate": 1.9780219780219784e-05, + "loss": 1.0611, + "step": 1260 + }, + { + "epoch": 0.03, + "grad_norm": 1.8092477465160812, + "learning_rate": 1.979591836734694e-05, + "loss": 0.8917, + "step": 1261 + }, + { + "epoch": 0.03, + "grad_norm": 0.7844192192050278, + "learning_rate": 1.98116169544741e-05, + "loss": 0.7656, + "step": 1262 + }, + { + "epoch": 0.03, + "grad_norm": 2.135927165979381, + "learning_rate": 1.982731554160126e-05, + "loss": 0.9785, + "step": 1263 + }, + { + "epoch": 0.03, + "grad_norm": 1.7406502719010106, + "learning_rate": 1.9843014128728416e-05, + "loss": 0.9722, + "step": 1264 + }, + { + "epoch": 0.03, + "grad_norm": 1.5681681178644271, + "learning_rate": 1.9858712715855573e-05, + "loss": 0.8911, + "step": 1265 + }, + { + "epoch": 0.03, + "grad_norm": 1.7963507073980087, + "learning_rate": 1.9874411302982734e-05, + "loss": 0.9635, + "step": 1266 + }, + { + "epoch": 0.03, + "grad_norm": 1.7379779123224548, + "learning_rate": 1.989010989010989e-05, + "loss": 0.9396, + "step": 1267 + }, + { + "epoch": 0.03, + "grad_norm": 0.8088977433300133, + "learning_rate": 1.990580847723705e-05, + "loss": 0.7006, + "step": 1268 + }, + { + "epoch": 0.03, + "grad_norm": 1.6449911118672644, + "learning_rate": 1.992150706436421e-05, + "loss": 0.9576, + "step": 1269 + }, + { + "epoch": 0.03, + "grad_norm": 1.612635922083334, + "learning_rate": 1.9937205651491366e-05, + "loss": 0.9764, + "step": 1270 + }, + { + "epoch": 0.03, + "grad_norm": 1.6688117062705208, + "learning_rate": 1.9952904238618527e-05, + "loss": 0.891, + "step": 1271 + }, + { + "epoch": 0.03, + "grad_norm": 0.7512099461239371, + "learning_rate": 1.9968602825745684e-05, + "loss": 0.7364, + "step": 1272 + }, + { + "epoch": 0.03, + "grad_norm": 1.83312549698183, + "learning_rate": 1.9984301412872844e-05, + "loss": 0.9053, + "step": 1273 + }, + { + "epoch": 0.03, + "grad_norm": 1.7237460529955437, + "learning_rate": 2e-05, + "loss": 0.9179, + "step": 1274 + }, + { + "epoch": 0.03, + "grad_norm": 1.8055459609151507, + "learning_rate": 1.9999999970888418e-05, + "loss": 0.8502, + "step": 1275 + }, + { + "epoch": 0.03, + "grad_norm": 1.78795696293218, + "learning_rate": 1.999999988355367e-05, + "loss": 1.0046, + "step": 1276 + }, + { + "epoch": 0.03, + "grad_norm": 2.2881925542171713, + "learning_rate": 1.9999999737995757e-05, + "loss": 0.8896, + "step": 1277 + }, + { + "epoch": 0.03, + "grad_norm": 0.8483354411132249, + "learning_rate": 1.9999999534214676e-05, + "loss": 0.7272, + "step": 1278 + }, + { + "epoch": 0.03, + "grad_norm": 1.7759633103374364, + "learning_rate": 1.9999999272210435e-05, + "loss": 0.8595, + "step": 1279 + }, + { + "epoch": 0.03, + "grad_norm": 1.8666786598831615, + "learning_rate": 1.9999998951983033e-05, + "loss": 0.8552, + "step": 1280 + }, + { + "epoch": 0.03, + "grad_norm": 1.5452173195960548, + "learning_rate": 1.999999857353247e-05, + "loss": 0.9306, + "step": 1281 + }, + { + "epoch": 0.03, + "grad_norm": 2.2615187320309, + "learning_rate": 1.9999998136858748e-05, + "loss": 0.9212, + "step": 1282 + }, + { + "epoch": 0.03, + "grad_norm": 1.663300049676059, + "learning_rate": 1.9999997641961873e-05, + "loss": 0.9038, + "step": 1283 + }, + { + "epoch": 0.03, + "grad_norm": 2.3764913427471694, + "learning_rate": 1.9999997088841844e-05, + "loss": 0.839, + "step": 1284 + }, + { + "epoch": 0.03, + "grad_norm": 1.5515500753950633, + "learning_rate": 1.9999996477498667e-05, + "loss": 1.0344, + "step": 1285 + }, + { + "epoch": 0.03, + "grad_norm": 1.6830968068430903, + "learning_rate": 1.9999995807932346e-05, + "loss": 0.8692, + "step": 1286 + }, + { + "epoch": 0.03, + "grad_norm": 1.5449540158486963, + "learning_rate": 1.999999508014288e-05, + "loss": 0.9641, + "step": 1287 + }, + { + "epoch": 0.03, + "grad_norm": 1.5451356927334725, + "learning_rate": 1.999999429413028e-05, + "loss": 0.8979, + "step": 1288 + }, + { + "epoch": 0.03, + "grad_norm": 3.390813112010595, + "learning_rate": 1.9999993449894542e-05, + "loss": 0.7521, + "step": 1289 + }, + { + "epoch": 0.03, + "grad_norm": 1.6301763453184386, + "learning_rate": 1.9999992547435683e-05, + "loss": 1.0668, + "step": 1290 + }, + { + "epoch": 0.03, + "grad_norm": 0.7875288214434405, + "learning_rate": 1.99999915867537e-05, + "loss": 0.6625, + "step": 1291 + }, + { + "epoch": 0.03, + "grad_norm": 2.3679906031162394, + "learning_rate": 1.9999990567848595e-05, + "loss": 0.911, + "step": 1292 + }, + { + "epoch": 0.03, + "grad_norm": 1.765061229988411, + "learning_rate": 1.9999989490720384e-05, + "loss": 1.0167, + "step": 1293 + }, + { + "epoch": 0.03, + "grad_norm": 2.083460205144846, + "learning_rate": 1.9999988355369067e-05, + "loss": 0.8563, + "step": 1294 + }, + { + "epoch": 0.03, + "grad_norm": 1.9477995687300131, + "learning_rate": 1.999998716179465e-05, + "loss": 0.9548, + "step": 1295 + }, + { + "epoch": 0.03, + "grad_norm": 1.6802964731336179, + "learning_rate": 1.9999985909997145e-05, + "loss": 0.9447, + "step": 1296 + }, + { + "epoch": 0.03, + "grad_norm": 3.433852360203671, + "learning_rate": 1.9999984599976555e-05, + "loss": 0.8781, + "step": 1297 + }, + { + "epoch": 0.03, + "grad_norm": 1.54813838940723, + "learning_rate": 1.9999983231732888e-05, + "loss": 0.9462, + "step": 1298 + }, + { + "epoch": 0.03, + "grad_norm": 1.906665031962177, + "learning_rate": 1.9999981805266152e-05, + "loss": 1.0306, + "step": 1299 + }, + { + "epoch": 0.03, + "grad_norm": 1.4192470000018316, + "learning_rate": 1.9999980320576356e-05, + "loss": 0.9131, + "step": 1300 + }, + { + "epoch": 0.03, + "grad_norm": 1.9010549050452201, + "learning_rate": 1.999997877766351e-05, + "loss": 1.0812, + "step": 1301 + }, + { + "epoch": 0.03, + "grad_norm": 1.6007327584623916, + "learning_rate": 1.9999977176527625e-05, + "loss": 1.0172, + "step": 1302 + }, + { + "epoch": 0.03, + "grad_norm": 1.7013110902539161, + "learning_rate": 1.99999755171687e-05, + "loss": 1.0818, + "step": 1303 + }, + { + "epoch": 0.03, + "grad_norm": 1.5978400731923896, + "learning_rate": 1.9999973799586754e-05, + "loss": 0.7972, + "step": 1304 + }, + { + "epoch": 0.03, + "grad_norm": 1.6299024703968552, + "learning_rate": 1.9999972023781797e-05, + "loss": 0.9011, + "step": 1305 + }, + { + "epoch": 0.03, + "grad_norm": 1.6643129954105533, + "learning_rate": 1.999997018975383e-05, + "loss": 1.0686, + "step": 1306 + }, + { + "epoch": 0.03, + "grad_norm": 1.914657190111075, + "learning_rate": 1.9999968297502878e-05, + "loss": 0.8725, + "step": 1307 + }, + { + "epoch": 0.03, + "grad_norm": 1.5901593666376677, + "learning_rate": 1.9999966347028943e-05, + "loss": 0.8399, + "step": 1308 + }, + { + "epoch": 0.03, + "grad_norm": 1.6506368578251676, + "learning_rate": 1.9999964338332037e-05, + "loss": 0.93, + "step": 1309 + }, + { + "epoch": 0.03, + "grad_norm": 1.8321291545739704, + "learning_rate": 1.9999962271412173e-05, + "loss": 0.8462, + "step": 1310 + }, + { + "epoch": 0.03, + "grad_norm": 1.761534887665067, + "learning_rate": 1.9999960146269365e-05, + "loss": 1.0669, + "step": 1311 + }, + { + "epoch": 0.03, + "grad_norm": 1.8312314732086554, + "learning_rate": 1.999995796290362e-05, + "loss": 0.8251, + "step": 1312 + }, + { + "epoch": 0.03, + "grad_norm": 1.6801789640414782, + "learning_rate": 1.9999955721314954e-05, + "loss": 1.0093, + "step": 1313 + }, + { + "epoch": 0.03, + "grad_norm": 2.1405180441755403, + "learning_rate": 1.999995342150338e-05, + "loss": 0.8493, + "step": 1314 + }, + { + "epoch": 0.03, + "grad_norm": 1.7365619055979145, + "learning_rate": 1.999995106346891e-05, + "loss": 0.8691, + "step": 1315 + }, + { + "epoch": 0.03, + "grad_norm": 1.842154655006893, + "learning_rate": 1.9999948647211562e-05, + "loss": 0.9796, + "step": 1316 + }, + { + "epoch": 0.03, + "grad_norm": 0.7996765148350433, + "learning_rate": 1.9999946172731347e-05, + "loss": 0.7474, + "step": 1317 + }, + { + "epoch": 0.03, + "grad_norm": 1.6179263092461493, + "learning_rate": 1.999994364002828e-05, + "loss": 0.9595, + "step": 1318 + }, + { + "epoch": 0.03, + "grad_norm": 2.321949983469984, + "learning_rate": 1.999994104910237e-05, + "loss": 0.8381, + "step": 1319 + }, + { + "epoch": 0.03, + "grad_norm": 1.5601916658631263, + "learning_rate": 1.9999938399953645e-05, + "loss": 0.9527, + "step": 1320 + }, + { + "epoch": 0.03, + "grad_norm": 2.003003401744781, + "learning_rate": 1.9999935692582107e-05, + "loss": 0.8294, + "step": 1321 + }, + { + "epoch": 0.03, + "grad_norm": 1.7063491684129937, + "learning_rate": 1.9999932926987778e-05, + "loss": 0.9855, + "step": 1322 + }, + { + "epoch": 0.03, + "grad_norm": 2.012991283239903, + "learning_rate": 1.9999930103170676e-05, + "loss": 1.0241, + "step": 1323 + }, + { + "epoch": 0.03, + "grad_norm": 0.7965348768164054, + "learning_rate": 1.9999927221130814e-05, + "loss": 0.7066, + "step": 1324 + }, + { + "epoch": 0.03, + "grad_norm": 1.7438563731670171, + "learning_rate": 1.9999924280868208e-05, + "loss": 0.9197, + "step": 1325 + }, + { + "epoch": 0.03, + "grad_norm": 2.0645131858716246, + "learning_rate": 1.999992128238288e-05, + "loss": 0.8416, + "step": 1326 + }, + { + "epoch": 0.03, + "grad_norm": 1.9748685955351848, + "learning_rate": 1.9999918225674843e-05, + "loss": 0.8398, + "step": 1327 + }, + { + "epoch": 0.03, + "grad_norm": 1.7361673629926917, + "learning_rate": 1.9999915110744116e-05, + "loss": 0.9138, + "step": 1328 + }, + { + "epoch": 0.03, + "grad_norm": 1.6425686953196839, + "learning_rate": 1.9999911937590715e-05, + "loss": 0.9655, + "step": 1329 + }, + { + "epoch": 0.03, + "grad_norm": 1.7883493509653676, + "learning_rate": 1.999990870621466e-05, + "loss": 0.998, + "step": 1330 + }, + { + "epoch": 0.03, + "grad_norm": 1.7495922845748095, + "learning_rate": 1.9999905416615976e-05, + "loss": 0.9569, + "step": 1331 + }, + { + "epoch": 0.03, + "grad_norm": 1.589984364904814, + "learning_rate": 1.9999902068794674e-05, + "loss": 0.7552, + "step": 1332 + }, + { + "epoch": 0.03, + "grad_norm": 1.6576143969608639, + "learning_rate": 1.9999898662750778e-05, + "loss": 0.8892, + "step": 1333 + }, + { + "epoch": 0.03, + "grad_norm": 1.732686102634992, + "learning_rate": 1.9999895198484303e-05, + "loss": 0.9303, + "step": 1334 + }, + { + "epoch": 0.03, + "grad_norm": 1.5485585888481197, + "learning_rate": 1.9999891675995274e-05, + "loss": 0.806, + "step": 1335 + }, + { + "epoch": 0.03, + "grad_norm": 1.5608636821299573, + "learning_rate": 1.9999888095283707e-05, + "loss": 0.8415, + "step": 1336 + }, + { + "epoch": 0.03, + "grad_norm": 1.826260384286386, + "learning_rate": 1.999988445634963e-05, + "loss": 0.98, + "step": 1337 + }, + { + "epoch": 0.03, + "grad_norm": 1.7560839767773144, + "learning_rate": 1.999988075919306e-05, + "loss": 0.9687, + "step": 1338 + }, + { + "epoch": 0.03, + "grad_norm": 1.7561886680888505, + "learning_rate": 1.9999877003814015e-05, + "loss": 0.8489, + "step": 1339 + }, + { + "epoch": 0.03, + "grad_norm": 0.7604388322440225, + "learning_rate": 1.999987319021252e-05, + "loss": 0.6811, + "step": 1340 + }, + { + "epoch": 0.03, + "grad_norm": 1.5992233522494064, + "learning_rate": 1.99998693183886e-05, + "loss": 0.8196, + "step": 1341 + }, + { + "epoch": 0.03, + "grad_norm": 1.8694712439781578, + "learning_rate": 1.9999865388342274e-05, + "loss": 1.0149, + "step": 1342 + }, + { + "epoch": 0.03, + "grad_norm": 2.6978491435242584, + "learning_rate": 1.9999861400073564e-05, + "loss": 1.0608, + "step": 1343 + }, + { + "epoch": 0.03, + "grad_norm": 1.7290516695308171, + "learning_rate": 1.9999857353582496e-05, + "loss": 0.8099, + "step": 1344 + }, + { + "epoch": 0.03, + "grad_norm": 0.8898080583879201, + "learning_rate": 1.9999853248869094e-05, + "loss": 0.7569, + "step": 1345 + }, + { + "epoch": 0.03, + "grad_norm": 2.532993889809439, + "learning_rate": 1.999984908593338e-05, + "loss": 0.8315, + "step": 1346 + }, + { + "epoch": 0.03, + "grad_norm": 1.8347579803114902, + "learning_rate": 1.999984486477538e-05, + "loss": 0.9421, + "step": 1347 + }, + { + "epoch": 0.03, + "grad_norm": 1.6765066684231091, + "learning_rate": 1.9999840585395113e-05, + "loss": 0.9472, + "step": 1348 + }, + { + "epoch": 0.03, + "grad_norm": 1.7824335397273179, + "learning_rate": 1.9999836247792614e-05, + "loss": 0.9345, + "step": 1349 + }, + { + "epoch": 0.03, + "grad_norm": 2.3872748663458254, + "learning_rate": 1.99998318519679e-05, + "loss": 0.8964, + "step": 1350 + }, + { + "epoch": 0.03, + "grad_norm": 1.6943321808229184, + "learning_rate": 1.9999827397920993e-05, + "loss": 0.9568, + "step": 1351 + }, + { + "epoch": 0.03, + "grad_norm": 1.5262253314826262, + "learning_rate": 1.9999822885651935e-05, + "loss": 0.9501, + "step": 1352 + }, + { + "epoch": 0.03, + "grad_norm": 2.0546489968659505, + "learning_rate": 1.9999818315160736e-05, + "loss": 0.9136, + "step": 1353 + }, + { + "epoch": 0.03, + "grad_norm": 1.6845066612077102, + "learning_rate": 1.999981368644743e-05, + "loss": 0.8465, + "step": 1354 + }, + { + "epoch": 0.03, + "grad_norm": 1.9826432454777239, + "learning_rate": 1.9999808999512044e-05, + "loss": 0.8643, + "step": 1355 + }, + { + "epoch": 0.03, + "grad_norm": 1.532192982759424, + "learning_rate": 1.99998042543546e-05, + "loss": 0.9828, + "step": 1356 + }, + { + "epoch": 0.03, + "grad_norm": 1.6891179402760401, + "learning_rate": 1.9999799450975136e-05, + "loss": 0.7931, + "step": 1357 + }, + { + "epoch": 0.03, + "grad_norm": 1.775096642207369, + "learning_rate": 1.999979458937367e-05, + "loss": 0.7856, + "step": 1358 + }, + { + "epoch": 0.03, + "grad_norm": 2.734630974236628, + "learning_rate": 1.9999789669550235e-05, + "loss": 0.8447, + "step": 1359 + }, + { + "epoch": 0.03, + "grad_norm": 2.5215301679878555, + "learning_rate": 1.999978469150486e-05, + "loss": 0.8313, + "step": 1360 + }, + { + "epoch": 0.03, + "grad_norm": 2.258947368873347, + "learning_rate": 1.999977965523757e-05, + "loss": 0.8869, + "step": 1361 + }, + { + "epoch": 0.03, + "grad_norm": 1.5509865751968293, + "learning_rate": 1.9999774560748398e-05, + "loss": 0.9318, + "step": 1362 + }, + { + "epoch": 0.03, + "grad_norm": 1.6230551022670818, + "learning_rate": 1.9999769408037377e-05, + "loss": 0.9578, + "step": 1363 + }, + { + "epoch": 0.03, + "grad_norm": 2.027948826654006, + "learning_rate": 1.9999764197104526e-05, + "loss": 1.0228, + "step": 1364 + }, + { + "epoch": 0.03, + "grad_norm": 1.9120505745247853, + "learning_rate": 1.9999758927949882e-05, + "loss": 0.9147, + "step": 1365 + }, + { + "epoch": 0.03, + "grad_norm": 2.190077803530714, + "learning_rate": 1.999975360057348e-05, + "loss": 1.0101, + "step": 1366 + }, + { + "epoch": 0.03, + "grad_norm": 1.6700380238565435, + "learning_rate": 1.9999748214975345e-05, + "loss": 0.9743, + "step": 1367 + }, + { + "epoch": 0.03, + "grad_norm": 1.7051026759457077, + "learning_rate": 1.999974277115551e-05, + "loss": 0.9852, + "step": 1368 + }, + { + "epoch": 0.03, + "grad_norm": 1.9494237368102796, + "learning_rate": 1.9999737269114008e-05, + "loss": 0.9347, + "step": 1369 + }, + { + "epoch": 0.03, + "grad_norm": 1.7919907074039958, + "learning_rate": 1.9999731708850868e-05, + "loss": 0.9474, + "step": 1370 + }, + { + "epoch": 0.03, + "grad_norm": 1.7539306183235406, + "learning_rate": 1.9999726090366122e-05, + "loss": 0.9169, + "step": 1371 + }, + { + "epoch": 0.03, + "grad_norm": 1.8034604968620267, + "learning_rate": 1.9999720413659808e-05, + "loss": 0.8996, + "step": 1372 + }, + { + "epoch": 0.03, + "grad_norm": 1.7167833378604471, + "learning_rate": 1.9999714678731955e-05, + "loss": 0.9185, + "step": 1373 + }, + { + "epoch": 0.03, + "grad_norm": 1.5966846471820293, + "learning_rate": 1.99997088855826e-05, + "loss": 0.855, + "step": 1374 + }, + { + "epoch": 0.03, + "grad_norm": 0.814895659847525, + "learning_rate": 1.9999703034211772e-05, + "loss": 0.6922, + "step": 1375 + }, + { + "epoch": 0.03, + "grad_norm": 2.2252313654760165, + "learning_rate": 1.9999697124619505e-05, + "loss": 0.8374, + "step": 1376 + }, + { + "epoch": 0.03, + "grad_norm": 2.255208555472756, + "learning_rate": 1.9999691156805836e-05, + "loss": 0.9882, + "step": 1377 + }, + { + "epoch": 0.03, + "grad_norm": 1.9937153440320092, + "learning_rate": 1.99996851307708e-05, + "loss": 0.9056, + "step": 1378 + }, + { + "epoch": 0.03, + "grad_norm": 1.7206931839516668, + "learning_rate": 1.999967904651443e-05, + "loss": 0.9407, + "step": 1379 + }, + { + "epoch": 0.03, + "grad_norm": 1.700392118693385, + "learning_rate": 1.9999672904036768e-05, + "loss": 0.9643, + "step": 1380 + }, + { + "epoch": 0.03, + "grad_norm": 1.8312579832708082, + "learning_rate": 1.9999666703337838e-05, + "loss": 0.7477, + "step": 1381 + }, + { + "epoch": 0.03, + "grad_norm": 1.7004162069321407, + "learning_rate": 1.9999660444417687e-05, + "loss": 0.9408, + "step": 1382 + }, + { + "epoch": 0.03, + "grad_norm": 0.7840457870007238, + "learning_rate": 1.9999654127276345e-05, + "loss": 0.7072, + "step": 1383 + }, + { + "epoch": 0.03, + "grad_norm": 1.6553767369855001, + "learning_rate": 1.999964775191385e-05, + "loss": 0.8843, + "step": 1384 + }, + { + "epoch": 0.03, + "grad_norm": 1.8627196927801022, + "learning_rate": 1.999964131833024e-05, + "loss": 1.0156, + "step": 1385 + }, + { + "epoch": 0.03, + "grad_norm": 1.9352168746226124, + "learning_rate": 1.9999634826525555e-05, + "loss": 1.0067, + "step": 1386 + }, + { + "epoch": 0.03, + "grad_norm": 2.2892808811031764, + "learning_rate": 1.999962827649983e-05, + "loss": 0.7505, + "step": 1387 + }, + { + "epoch": 0.03, + "grad_norm": 1.7669353618185726, + "learning_rate": 1.9999621668253103e-05, + "loss": 0.8556, + "step": 1388 + }, + { + "epoch": 0.03, + "grad_norm": 1.7622507622504442, + "learning_rate": 1.9999615001785412e-05, + "loss": 0.8319, + "step": 1389 + }, + { + "epoch": 0.03, + "grad_norm": 1.6927002510999636, + "learning_rate": 1.9999608277096796e-05, + "loss": 0.9931, + "step": 1390 + }, + { + "epoch": 0.03, + "grad_norm": 1.5113502487326713, + "learning_rate": 1.99996014941873e-05, + "loss": 0.9794, + "step": 1391 + }, + { + "epoch": 0.03, + "grad_norm": 1.5816597489102697, + "learning_rate": 1.9999594653056952e-05, + "loss": 0.866, + "step": 1392 + }, + { + "epoch": 0.03, + "grad_norm": 2.0073816684686356, + "learning_rate": 1.99995877537058e-05, + "loss": 0.9212, + "step": 1393 + }, + { + "epoch": 0.03, + "grad_norm": 1.5908323371885287, + "learning_rate": 1.999958079613388e-05, + "loss": 0.8632, + "step": 1394 + }, + { + "epoch": 0.03, + "grad_norm": 1.8170805463344433, + "learning_rate": 1.9999573780341236e-05, + "loss": 0.9175, + "step": 1395 + }, + { + "epoch": 0.03, + "grad_norm": 1.503438613012848, + "learning_rate": 1.9999566706327908e-05, + "loss": 0.7736, + "step": 1396 + }, + { + "epoch": 0.03, + "grad_norm": 1.682270818473176, + "learning_rate": 1.999955957409394e-05, + "loss": 0.8164, + "step": 1397 + }, + { + "epoch": 0.03, + "grad_norm": 2.029499946168032, + "learning_rate": 1.9999552383639368e-05, + "loss": 0.8721, + "step": 1398 + }, + { + "epoch": 0.03, + "grad_norm": 2.0672164534100785, + "learning_rate": 1.9999545134964235e-05, + "loss": 1.0177, + "step": 1399 + }, + { + "epoch": 0.03, + "grad_norm": 2.0074601835040826, + "learning_rate": 1.9999537828068586e-05, + "loss": 0.8496, + "step": 1400 + }, + { + "epoch": 0.03, + "grad_norm": 1.842079952269603, + "learning_rate": 1.999953046295246e-05, + "loss": 0.9144, + "step": 1401 + }, + { + "epoch": 0.03, + "grad_norm": 1.7338333191486808, + "learning_rate": 1.9999523039615904e-05, + "loss": 0.8797, + "step": 1402 + }, + { + "epoch": 0.03, + "grad_norm": 1.8732725831960348, + "learning_rate": 1.9999515558058958e-05, + "loss": 0.9706, + "step": 1403 + }, + { + "epoch": 0.03, + "grad_norm": 1.947320312450198, + "learning_rate": 1.9999508018281667e-05, + "loss": 0.8921, + "step": 1404 + }, + { + "epoch": 0.03, + "grad_norm": 1.7648595638844227, + "learning_rate": 1.999950042028407e-05, + "loss": 0.8096, + "step": 1405 + }, + { + "epoch": 0.03, + "grad_norm": 1.637296720202476, + "learning_rate": 1.9999492764066225e-05, + "loss": 0.9087, + "step": 1406 + }, + { + "epoch": 0.03, + "grad_norm": 1.7322175618499802, + "learning_rate": 1.999948504962816e-05, + "loss": 0.9164, + "step": 1407 + }, + { + "epoch": 0.03, + "grad_norm": 1.9224639994244364, + "learning_rate": 1.9999477276969932e-05, + "loss": 0.7728, + "step": 1408 + }, + { + "epoch": 0.03, + "grad_norm": 1.685811146837617, + "learning_rate": 1.9999469446091578e-05, + "loss": 0.8656, + "step": 1409 + }, + { + "epoch": 0.03, + "grad_norm": 1.7614650038558395, + "learning_rate": 1.999946155699315e-05, + "loss": 0.9449, + "step": 1410 + }, + { + "epoch": 0.03, + "grad_norm": 1.5864808102792947, + "learning_rate": 1.999945360967469e-05, + "loss": 0.8466, + "step": 1411 + }, + { + "epoch": 0.03, + "grad_norm": 1.6356735030208591, + "learning_rate": 1.999944560413624e-05, + "loss": 1.005, + "step": 1412 + }, + { + "epoch": 0.03, + "grad_norm": 1.586282171842174, + "learning_rate": 1.999943754037786e-05, + "loss": 0.9782, + "step": 1413 + }, + { + "epoch": 0.03, + "grad_norm": 1.8775359522138397, + "learning_rate": 1.9999429418399585e-05, + "loss": 0.8972, + "step": 1414 + }, + { + "epoch": 0.03, + "grad_norm": 1.8010949642147447, + "learning_rate": 1.9999421238201465e-05, + "loss": 0.9848, + "step": 1415 + }, + { + "epoch": 0.03, + "grad_norm": 1.9452892248154923, + "learning_rate": 1.9999412999783555e-05, + "loss": 1.1291, + "step": 1416 + }, + { + "epoch": 0.03, + "grad_norm": 2.0678948230322076, + "learning_rate": 1.999940470314589e-05, + "loss": 0.8302, + "step": 1417 + }, + { + "epoch": 0.03, + "grad_norm": 1.6462008183937162, + "learning_rate": 1.9999396348288526e-05, + "loss": 0.9639, + "step": 1418 + }, + { + "epoch": 0.03, + "grad_norm": 1.8717744000743302, + "learning_rate": 1.9999387935211515e-05, + "loss": 0.9174, + "step": 1419 + }, + { + "epoch": 0.03, + "grad_norm": 2.4028665047255733, + "learning_rate": 1.99993794639149e-05, + "loss": 0.994, + "step": 1420 + }, + { + "epoch": 0.03, + "grad_norm": 1.5352434179911576, + "learning_rate": 1.999937093439873e-05, + "loss": 0.8337, + "step": 1421 + }, + { + "epoch": 0.03, + "grad_norm": 1.6593469545049992, + "learning_rate": 1.9999362346663056e-05, + "loss": 0.8312, + "step": 1422 + }, + { + "epoch": 0.03, + "grad_norm": 1.588931320363836, + "learning_rate": 1.999935370070793e-05, + "loss": 1.03, + "step": 1423 + }, + { + "epoch": 0.03, + "grad_norm": 1.7935755084856027, + "learning_rate": 1.9999344996533402e-05, + "loss": 1.0602, + "step": 1424 + }, + { + "epoch": 0.03, + "grad_norm": 3.768051463829479, + "learning_rate": 1.9999336234139522e-05, + "loss": 0.9504, + "step": 1425 + }, + { + "epoch": 0.03, + "grad_norm": 1.4995067729343572, + "learning_rate": 1.9999327413526337e-05, + "loss": 0.7677, + "step": 1426 + }, + { + "epoch": 0.03, + "grad_norm": 2.393337954189917, + "learning_rate": 1.9999318534693904e-05, + "loss": 0.8718, + "step": 1427 + }, + { + "epoch": 0.03, + "grad_norm": 1.5937235043464373, + "learning_rate": 1.9999309597642275e-05, + "loss": 0.8522, + "step": 1428 + }, + { + "epoch": 0.03, + "grad_norm": 1.775227607123528, + "learning_rate": 1.9999300602371495e-05, + "loss": 1.0009, + "step": 1429 + }, + { + "epoch": 0.03, + "grad_norm": 1.741566011712476, + "learning_rate": 1.9999291548881628e-05, + "loss": 0.8349, + "step": 1430 + }, + { + "epoch": 0.03, + "grad_norm": 1.7888989236631134, + "learning_rate": 1.9999282437172716e-05, + "loss": 0.8804, + "step": 1431 + }, + { + "epoch": 0.03, + "grad_norm": 1.629196794587314, + "learning_rate": 1.9999273267244813e-05, + "loss": 0.9492, + "step": 1432 + }, + { + "epoch": 0.03, + "grad_norm": 2.003497928521289, + "learning_rate": 1.9999264039097982e-05, + "loss": 0.8213, + "step": 1433 + }, + { + "epoch": 0.03, + "grad_norm": 1.674977458186919, + "learning_rate": 1.9999254752732265e-05, + "loss": 1.0149, + "step": 1434 + }, + { + "epoch": 0.03, + "grad_norm": 1.8512887354015832, + "learning_rate": 1.999924540814772e-05, + "loss": 0.903, + "step": 1435 + }, + { + "epoch": 0.03, + "grad_norm": 1.7165907212469085, + "learning_rate": 1.999923600534441e-05, + "loss": 1.0528, + "step": 1436 + }, + { + "epoch": 0.03, + "grad_norm": 2.1150143058727613, + "learning_rate": 1.9999226544322377e-05, + "loss": 0.8813, + "step": 1437 + }, + { + "epoch": 0.03, + "grad_norm": 2.020171080078068, + "learning_rate": 1.999921702508168e-05, + "loss": 0.8778, + "step": 1438 + }, + { + "epoch": 0.03, + "grad_norm": 1.5836392180492114, + "learning_rate": 1.9999207447622376e-05, + "loss": 1.0649, + "step": 1439 + }, + { + "epoch": 0.03, + "grad_norm": 1.9652270444526372, + "learning_rate": 1.999919781194452e-05, + "loss": 0.9963, + "step": 1440 + }, + { + "epoch": 0.03, + "grad_norm": 2.4857118185508065, + "learning_rate": 1.9999188118048173e-05, + "loss": 0.9806, + "step": 1441 + }, + { + "epoch": 0.03, + "grad_norm": 1.647642051114784, + "learning_rate": 1.9999178365933388e-05, + "loss": 0.9229, + "step": 1442 + }, + { + "epoch": 0.03, + "grad_norm": 2.3329957329350317, + "learning_rate": 1.9999168555600215e-05, + "loss": 0.9896, + "step": 1443 + }, + { + "epoch": 0.03, + "grad_norm": 1.7506275291868922, + "learning_rate": 1.999915868704872e-05, + "loss": 0.8364, + "step": 1444 + }, + { + "epoch": 0.03, + "grad_norm": 0.8194406184501263, + "learning_rate": 1.9999148760278956e-05, + "loss": 0.6996, + "step": 1445 + }, + { + "epoch": 0.03, + "grad_norm": 1.6382216849745121, + "learning_rate": 1.9999138775290985e-05, + "loss": 0.8989, + "step": 1446 + }, + { + "epoch": 0.03, + "grad_norm": 1.588297993110073, + "learning_rate": 1.999912873208486e-05, + "loss": 0.9394, + "step": 1447 + }, + { + "epoch": 0.03, + "grad_norm": 1.788512179929603, + "learning_rate": 1.9999118630660643e-05, + "loss": 0.9354, + "step": 1448 + }, + { + "epoch": 0.03, + "grad_norm": 1.629410802433003, + "learning_rate": 1.999910847101839e-05, + "loss": 1.0229, + "step": 1449 + }, + { + "epoch": 0.03, + "grad_norm": 0.7923015887392627, + "learning_rate": 1.9999098253158166e-05, + "loss": 0.7765, + "step": 1450 + }, + { + "epoch": 0.03, + "grad_norm": 1.868828429768284, + "learning_rate": 1.999908797708002e-05, + "loss": 0.9, + "step": 1451 + }, + { + "epoch": 0.03, + "grad_norm": 1.755183547705761, + "learning_rate": 1.9999077642784024e-05, + "loss": 1.0062, + "step": 1452 + }, + { + "epoch": 0.03, + "grad_norm": 2.440901989716646, + "learning_rate": 1.999906725027023e-05, + "loss": 0.9134, + "step": 1453 + }, + { + "epoch": 0.03, + "grad_norm": 1.6025874220406402, + "learning_rate": 1.9999056799538698e-05, + "loss": 0.9009, + "step": 1454 + }, + { + "epoch": 0.03, + "grad_norm": 1.9455871938800848, + "learning_rate": 1.9999046290589495e-05, + "loss": 0.9875, + "step": 1455 + }, + { + "epoch": 0.03, + "grad_norm": 2.4806548032740054, + "learning_rate": 1.9999035723422677e-05, + "loss": 0.9725, + "step": 1456 + }, + { + "epoch": 0.03, + "grad_norm": 1.7749600118237399, + "learning_rate": 1.999902509803831e-05, + "loss": 1.1077, + "step": 1457 + }, + { + "epoch": 0.03, + "grad_norm": 2.586271790997382, + "learning_rate": 1.9999014414436454e-05, + "loss": 0.9747, + "step": 1458 + }, + { + "epoch": 0.03, + "grad_norm": 1.961056988978891, + "learning_rate": 1.9999003672617165e-05, + "loss": 0.8958, + "step": 1459 + }, + { + "epoch": 0.03, + "grad_norm": 1.751416554232621, + "learning_rate": 1.9998992872580516e-05, + "loss": 0.9229, + "step": 1460 + }, + { + "epoch": 0.03, + "grad_norm": 2.1395486217260267, + "learning_rate": 1.9998982014326563e-05, + "loss": 0.8493, + "step": 1461 + }, + { + "epoch": 0.03, + "grad_norm": 1.7935840840219506, + "learning_rate": 1.9998971097855372e-05, + "loss": 0.8106, + "step": 1462 + }, + { + "epoch": 0.03, + "grad_norm": 2.9848963451176704, + "learning_rate": 1.9998960123167003e-05, + "loss": 0.8339, + "step": 1463 + }, + { + "epoch": 0.03, + "grad_norm": 1.695569079540921, + "learning_rate": 1.9998949090261525e-05, + "loss": 0.9318, + "step": 1464 + }, + { + "epoch": 0.03, + "grad_norm": 1.713950042576206, + "learning_rate": 1.9998937999138998e-05, + "loss": 0.9253, + "step": 1465 + }, + { + "epoch": 0.03, + "grad_norm": 1.66054198305059, + "learning_rate": 1.999892684979949e-05, + "loss": 0.9811, + "step": 1466 + }, + { + "epoch": 0.03, + "grad_norm": 1.6298485824680107, + "learning_rate": 1.9998915642243064e-05, + "loss": 0.9266, + "step": 1467 + }, + { + "epoch": 0.03, + "grad_norm": 1.8238264801293618, + "learning_rate": 1.9998904376469784e-05, + "loss": 0.8686, + "step": 1468 + }, + { + "epoch": 0.03, + "grad_norm": 1.854211571487225, + "learning_rate": 1.999889305247972e-05, + "loss": 0.9313, + "step": 1469 + }, + { + "epoch": 0.03, + "grad_norm": 2.06915039103315, + "learning_rate": 1.9998881670272933e-05, + "loss": 0.8659, + "step": 1470 + }, + { + "epoch": 0.03, + "grad_norm": 0.8334175430337417, + "learning_rate": 1.9998870229849492e-05, + "loss": 0.762, + "step": 1471 + }, + { + "epoch": 0.03, + "grad_norm": 1.547016969942756, + "learning_rate": 1.9998858731209463e-05, + "loss": 0.8111, + "step": 1472 + }, + { + "epoch": 0.03, + "grad_norm": 1.6625394645735785, + "learning_rate": 1.999884717435291e-05, + "loss": 0.879, + "step": 1473 + }, + { + "epoch": 0.03, + "grad_norm": 1.767574400841889, + "learning_rate": 1.999883555927991e-05, + "loss": 0.8987, + "step": 1474 + }, + { + "epoch": 0.03, + "grad_norm": 1.8942690081284013, + "learning_rate": 1.999882388599052e-05, + "loss": 1.0245, + "step": 1475 + }, + { + "epoch": 0.03, + "grad_norm": 2.0101872875523514, + "learning_rate": 1.999881215448481e-05, + "loss": 1.0233, + "step": 1476 + }, + { + "epoch": 0.03, + "grad_norm": 1.5620882991152458, + "learning_rate": 1.999880036476285e-05, + "loss": 1.0089, + "step": 1477 + }, + { + "epoch": 0.03, + "grad_norm": 1.7751302325543967, + "learning_rate": 1.999878851682471e-05, + "loss": 0.8431, + "step": 1478 + }, + { + "epoch": 0.03, + "grad_norm": 1.6849426279473525, + "learning_rate": 1.999877661067046e-05, + "loss": 0.9655, + "step": 1479 + }, + { + "epoch": 0.03, + "grad_norm": 1.8992789827693541, + "learning_rate": 1.9998764646300163e-05, + "loss": 0.9477, + "step": 1480 + }, + { + "epoch": 0.03, + "grad_norm": 2.0107260940946623, + "learning_rate": 1.9998752623713894e-05, + "loss": 0.9564, + "step": 1481 + }, + { + "epoch": 0.03, + "grad_norm": 0.7403069496906588, + "learning_rate": 1.9998740542911722e-05, + "loss": 0.701, + "step": 1482 + }, + { + "epoch": 0.03, + "grad_norm": 0.8033963364588245, + "learning_rate": 1.9998728403893717e-05, + "loss": 0.7181, + "step": 1483 + }, + { + "epoch": 0.03, + "grad_norm": 1.6614803885676852, + "learning_rate": 1.9998716206659948e-05, + "loss": 0.9117, + "step": 1484 + }, + { + "epoch": 0.03, + "grad_norm": 1.5695916935058816, + "learning_rate": 1.9998703951210492e-05, + "loss": 0.9938, + "step": 1485 + }, + { + "epoch": 0.04, + "grad_norm": 0.7651952391062283, + "learning_rate": 1.9998691637545417e-05, + "loss": 0.7258, + "step": 1486 + }, + { + "epoch": 0.04, + "grad_norm": 1.7558482809261289, + "learning_rate": 1.9998679265664787e-05, + "loss": 0.9513, + "step": 1487 + }, + { + "epoch": 0.04, + "grad_norm": 1.666042257546932, + "learning_rate": 1.9998666835568684e-05, + "loss": 0.7734, + "step": 1488 + }, + { + "epoch": 0.04, + "grad_norm": 1.5335965623650047, + "learning_rate": 1.999865434725718e-05, + "loss": 0.8874, + "step": 1489 + }, + { + "epoch": 0.04, + "grad_norm": 0.7762499952485452, + "learning_rate": 1.999864180073034e-05, + "loss": 0.7119, + "step": 1490 + }, + { + "epoch": 0.04, + "grad_norm": 0.7624620555329306, + "learning_rate": 1.9998629195988243e-05, + "loss": 0.6759, + "step": 1491 + }, + { + "epoch": 0.04, + "grad_norm": 1.6527321149800849, + "learning_rate": 1.9998616533030965e-05, + "loss": 1.0532, + "step": 1492 + }, + { + "epoch": 0.04, + "grad_norm": 1.8029262738546272, + "learning_rate": 1.9998603811858573e-05, + "loss": 0.7859, + "step": 1493 + }, + { + "epoch": 0.04, + "grad_norm": 2.077062084856052, + "learning_rate": 1.9998591032471144e-05, + "loss": 0.8635, + "step": 1494 + }, + { + "epoch": 0.04, + "grad_norm": 1.6949781373472532, + "learning_rate": 1.9998578194868754e-05, + "loss": 0.8637, + "step": 1495 + }, + { + "epoch": 0.04, + "grad_norm": 2.010589464468235, + "learning_rate": 1.9998565299051473e-05, + "loss": 0.8057, + "step": 1496 + }, + { + "epoch": 0.04, + "grad_norm": 1.8193715235244443, + "learning_rate": 1.9998552345019383e-05, + "loss": 0.9466, + "step": 1497 + }, + { + "epoch": 0.04, + "grad_norm": 1.8048706368805647, + "learning_rate": 1.9998539332772555e-05, + "loss": 0.9819, + "step": 1498 + }, + { + "epoch": 0.04, + "grad_norm": 1.763698066772919, + "learning_rate": 1.9998526262311063e-05, + "loss": 0.955, + "step": 1499 + }, + { + "epoch": 0.04, + "grad_norm": 1.8646658753163778, + "learning_rate": 1.999851313363499e-05, + "loss": 0.8593, + "step": 1500 + }, + { + "epoch": 0.04, + "grad_norm": 1.6197082592742362, + "learning_rate": 1.9998499946744404e-05, + "loss": 0.8847, + "step": 1501 + }, + { + "epoch": 0.04, + "grad_norm": 1.9017749646150517, + "learning_rate": 1.999848670163939e-05, + "loss": 0.9317, + "step": 1502 + }, + { + "epoch": 0.04, + "grad_norm": 2.6276425148377602, + "learning_rate": 1.9998473398320016e-05, + "loss": 0.9697, + "step": 1503 + }, + { + "epoch": 0.04, + "grad_norm": 1.56969611194336, + "learning_rate": 1.9998460036786365e-05, + "loss": 0.8779, + "step": 1504 + }, + { + "epoch": 0.04, + "grad_norm": 4.9505916758326745, + "learning_rate": 1.999844661703852e-05, + "loss": 0.8917, + "step": 1505 + }, + { + "epoch": 0.04, + "grad_norm": 1.8248102748664454, + "learning_rate": 1.9998433139076547e-05, + "loss": 0.9633, + "step": 1506 + }, + { + "epoch": 0.04, + "grad_norm": 2.2474524792700548, + "learning_rate": 1.9998419602900535e-05, + "loss": 0.8413, + "step": 1507 + }, + { + "epoch": 0.04, + "grad_norm": 1.933333651732959, + "learning_rate": 1.9998406008510555e-05, + "loss": 0.7916, + "step": 1508 + }, + { + "epoch": 0.04, + "grad_norm": 1.8309633307395905, + "learning_rate": 1.999839235590669e-05, + "loss": 0.9061, + "step": 1509 + }, + { + "epoch": 0.04, + "grad_norm": 1.522295994522353, + "learning_rate": 1.999837864508902e-05, + "loss": 1.0033, + "step": 1510 + }, + { + "epoch": 0.04, + "grad_norm": 1.7933039792377061, + "learning_rate": 1.999836487605763e-05, + "loss": 0.9584, + "step": 1511 + }, + { + "epoch": 0.04, + "grad_norm": 1.7427234882615552, + "learning_rate": 1.9998351048812585e-05, + "loss": 0.9477, + "step": 1512 + }, + { + "epoch": 0.04, + "grad_norm": 1.7815953804156186, + "learning_rate": 1.999833716335398e-05, + "loss": 0.873, + "step": 1513 + }, + { + "epoch": 0.04, + "grad_norm": 2.108917600547362, + "learning_rate": 1.999832321968189e-05, + "loss": 0.8618, + "step": 1514 + }, + { + "epoch": 0.04, + "grad_norm": 2.1232973409451907, + "learning_rate": 1.9998309217796395e-05, + "loss": 0.834, + "step": 1515 + }, + { + "epoch": 0.04, + "grad_norm": 1.6766169503758983, + "learning_rate": 1.9998295157697583e-05, + "loss": 0.7813, + "step": 1516 + }, + { + "epoch": 0.04, + "grad_norm": 1.806991785853015, + "learning_rate": 1.9998281039385527e-05, + "loss": 0.9058, + "step": 1517 + }, + { + "epoch": 0.04, + "grad_norm": 1.8194707951932942, + "learning_rate": 1.9998266862860315e-05, + "loss": 0.9123, + "step": 1518 + }, + { + "epoch": 0.04, + "grad_norm": 1.975272281946664, + "learning_rate": 1.9998252628122025e-05, + "loss": 0.9228, + "step": 1519 + }, + { + "epoch": 0.04, + "grad_norm": 2.6255805663520544, + "learning_rate": 1.9998238335170746e-05, + "loss": 0.9024, + "step": 1520 + }, + { + "epoch": 0.04, + "grad_norm": 1.8151774208076794, + "learning_rate": 1.9998223984006558e-05, + "loss": 0.9107, + "step": 1521 + }, + { + "epoch": 0.04, + "grad_norm": 1.9182117677177706, + "learning_rate": 1.9998209574629542e-05, + "loss": 0.9303, + "step": 1522 + }, + { + "epoch": 0.04, + "grad_norm": 1.7110322137517988, + "learning_rate": 1.9998195107039785e-05, + "loss": 0.9237, + "step": 1523 + }, + { + "epoch": 0.04, + "grad_norm": 1.7973138467836174, + "learning_rate": 1.9998180581237372e-05, + "loss": 1.0314, + "step": 1524 + }, + { + "epoch": 0.04, + "grad_norm": 2.0129945138632284, + "learning_rate": 1.9998165997222387e-05, + "loss": 0.8287, + "step": 1525 + }, + { + "epoch": 0.04, + "grad_norm": 1.7691751252928318, + "learning_rate": 1.9998151354994914e-05, + "loss": 0.863, + "step": 1526 + }, + { + "epoch": 0.04, + "grad_norm": 2.007335409429243, + "learning_rate": 1.999813665455504e-05, + "loss": 0.9078, + "step": 1527 + }, + { + "epoch": 0.04, + "grad_norm": 1.5702192724544928, + "learning_rate": 1.9998121895902843e-05, + "loss": 0.8806, + "step": 1528 + }, + { + "epoch": 0.04, + "grad_norm": 2.108703287725206, + "learning_rate": 1.999810707903842e-05, + "loss": 0.9006, + "step": 1529 + }, + { + "epoch": 0.04, + "grad_norm": 1.73364990079322, + "learning_rate": 1.999809220396185e-05, + "loss": 0.8638, + "step": 1530 + }, + { + "epoch": 0.04, + "grad_norm": 1.7036372061028298, + "learning_rate": 1.9998077270673222e-05, + "loss": 0.836, + "step": 1531 + }, + { + "epoch": 0.04, + "grad_norm": 3.4275580880911933, + "learning_rate": 1.9998062279172624e-05, + "loss": 0.7806, + "step": 1532 + }, + { + "epoch": 0.04, + "grad_norm": 1.9734394383776088, + "learning_rate": 1.9998047229460144e-05, + "loss": 0.9534, + "step": 1533 + }, + { + "epoch": 0.04, + "grad_norm": 1.6196158232920965, + "learning_rate": 1.9998032121535863e-05, + "loss": 0.9294, + "step": 1534 + }, + { + "epoch": 0.04, + "grad_norm": 2.0553148510894816, + "learning_rate": 1.9998016955399877e-05, + "loss": 0.8754, + "step": 1535 + }, + { + "epoch": 0.04, + "grad_norm": 2.0560003895612873, + "learning_rate": 1.999800173105227e-05, + "loss": 0.8575, + "step": 1536 + }, + { + "epoch": 0.04, + "grad_norm": 1.603086846636104, + "learning_rate": 1.9997986448493133e-05, + "loss": 0.8922, + "step": 1537 + }, + { + "epoch": 0.04, + "grad_norm": 1.6360053649247897, + "learning_rate": 1.999797110772255e-05, + "loss": 0.9472, + "step": 1538 + }, + { + "epoch": 0.04, + "grad_norm": 1.8012764961257188, + "learning_rate": 1.9997955708740616e-05, + "loss": 0.9125, + "step": 1539 + }, + { + "epoch": 0.04, + "grad_norm": 1.9017997029132736, + "learning_rate": 1.999794025154742e-05, + "loss": 0.9339, + "step": 1540 + }, + { + "epoch": 0.04, + "grad_norm": 1.7579455530951853, + "learning_rate": 1.999792473614305e-05, + "loss": 0.8463, + "step": 1541 + }, + { + "epoch": 0.04, + "grad_norm": 1.8165492157919578, + "learning_rate": 1.9997909162527596e-05, + "loss": 0.9686, + "step": 1542 + }, + { + "epoch": 0.04, + "grad_norm": 1.7647158128325473, + "learning_rate": 1.999789353070115e-05, + "loss": 0.875, + "step": 1543 + }, + { + "epoch": 0.04, + "grad_norm": 1.957738098483419, + "learning_rate": 1.99978778406638e-05, + "loss": 0.9897, + "step": 1544 + }, + { + "epoch": 0.04, + "grad_norm": 1.9744696442405332, + "learning_rate": 1.9997862092415645e-05, + "loss": 0.806, + "step": 1545 + }, + { + "epoch": 0.04, + "grad_norm": 2.7513590068927223, + "learning_rate": 1.9997846285956767e-05, + "loss": 0.936, + "step": 1546 + }, + { + "epoch": 0.04, + "grad_norm": 1.717749680428828, + "learning_rate": 1.9997830421287265e-05, + "loss": 0.9243, + "step": 1547 + }, + { + "epoch": 0.04, + "grad_norm": 1.810231352486841, + "learning_rate": 1.999781449840723e-05, + "loss": 1.0337, + "step": 1548 + }, + { + "epoch": 0.04, + "grad_norm": 2.426438712913837, + "learning_rate": 1.999779851731675e-05, + "loss": 0.8869, + "step": 1549 + }, + { + "epoch": 0.04, + "grad_norm": 1.8221564061175555, + "learning_rate": 1.9997782478015923e-05, + "loss": 1.0458, + "step": 1550 + }, + { + "epoch": 0.04, + "grad_norm": 1.6848371383048808, + "learning_rate": 1.9997766380504842e-05, + "loss": 0.8653, + "step": 1551 + }, + { + "epoch": 0.04, + "grad_norm": 1.8363568573356044, + "learning_rate": 1.9997750224783605e-05, + "loss": 0.978, + "step": 1552 + }, + { + "epoch": 0.04, + "grad_norm": 1.7350089630439867, + "learning_rate": 1.9997734010852294e-05, + "loss": 0.8738, + "step": 1553 + }, + { + "epoch": 0.04, + "grad_norm": 1.7296886202290918, + "learning_rate": 1.9997717738711013e-05, + "loss": 0.8152, + "step": 1554 + }, + { + "epoch": 0.04, + "grad_norm": 1.6263215281507495, + "learning_rate": 1.9997701408359852e-05, + "loss": 0.9566, + "step": 1555 + }, + { + "epoch": 0.04, + "grad_norm": 1.525434971470341, + "learning_rate": 1.9997685019798913e-05, + "loss": 0.9424, + "step": 1556 + }, + { + "epoch": 0.04, + "grad_norm": 1.7299833401336657, + "learning_rate": 1.999766857302828e-05, + "loss": 0.8608, + "step": 1557 + }, + { + "epoch": 0.04, + "grad_norm": 1.7939543020065232, + "learning_rate": 1.9997652068048057e-05, + "loss": 1.0935, + "step": 1558 + }, + { + "epoch": 0.04, + "grad_norm": 1.8908489355506306, + "learning_rate": 1.999763550485834e-05, + "loss": 0.917, + "step": 1559 + }, + { + "epoch": 0.04, + "grad_norm": 1.8526105783983153, + "learning_rate": 1.9997618883459225e-05, + "loss": 1.003, + "step": 1560 + }, + { + "epoch": 0.04, + "grad_norm": 1.5329836884263954, + "learning_rate": 1.9997602203850807e-05, + "loss": 1.1003, + "step": 1561 + }, + { + "epoch": 0.04, + "grad_norm": 1.873104676116411, + "learning_rate": 1.9997585466033186e-05, + "loss": 0.972, + "step": 1562 + }, + { + "epoch": 0.04, + "grad_norm": 1.7185456217925166, + "learning_rate": 1.999756867000645e-05, + "loss": 0.8875, + "step": 1563 + }, + { + "epoch": 0.04, + "grad_norm": 1.8498812246783523, + "learning_rate": 1.9997551815770712e-05, + "loss": 0.8421, + "step": 1564 + }, + { + "epoch": 0.04, + "grad_norm": 1.7088133168953146, + "learning_rate": 1.9997534903326058e-05, + "loss": 0.8538, + "step": 1565 + }, + { + "epoch": 0.04, + "grad_norm": 0.8012396818974414, + "learning_rate": 1.9997517932672592e-05, + "loss": 0.6977, + "step": 1566 + }, + { + "epoch": 0.04, + "grad_norm": 2.000212910122706, + "learning_rate": 1.9997500903810412e-05, + "loss": 0.8698, + "step": 1567 + }, + { + "epoch": 0.04, + "grad_norm": 2.1260208049356617, + "learning_rate": 1.9997483816739613e-05, + "loss": 0.9389, + "step": 1568 + }, + { + "epoch": 0.04, + "grad_norm": 2.289478853750021, + "learning_rate": 1.99974666714603e-05, + "loss": 0.8702, + "step": 1569 + }, + { + "epoch": 0.04, + "grad_norm": 1.702976560467114, + "learning_rate": 1.9997449467972574e-05, + "loss": 1.1071, + "step": 1570 + }, + { + "epoch": 0.04, + "grad_norm": 1.7941613579568396, + "learning_rate": 1.9997432206276528e-05, + "loss": 0.9141, + "step": 1571 + }, + { + "epoch": 0.04, + "grad_norm": 1.5809466680076563, + "learning_rate": 1.9997414886372272e-05, + "loss": 1.0225, + "step": 1572 + }, + { + "epoch": 0.04, + "grad_norm": 1.872046857816528, + "learning_rate": 1.9997397508259895e-05, + "loss": 0.9035, + "step": 1573 + }, + { + "epoch": 0.04, + "grad_norm": 3.2466005042178496, + "learning_rate": 1.9997380071939506e-05, + "loss": 1.0322, + "step": 1574 + }, + { + "epoch": 0.04, + "grad_norm": 2.601035117842701, + "learning_rate": 1.999736257741121e-05, + "loss": 0.8961, + "step": 1575 + }, + { + "epoch": 0.04, + "grad_norm": 1.7501577553580256, + "learning_rate": 1.9997345024675095e-05, + "loss": 0.9695, + "step": 1576 + }, + { + "epoch": 0.04, + "grad_norm": 0.8907141071005917, + "learning_rate": 1.999732741373128e-05, + "loss": 0.7128, + "step": 1577 + }, + { + "epoch": 0.04, + "grad_norm": 2.106841884531087, + "learning_rate": 1.9997309744579857e-05, + "loss": 1.023, + "step": 1578 + }, + { + "epoch": 0.04, + "grad_norm": 2.3247168530130695, + "learning_rate": 1.9997292017220933e-05, + "loss": 1.079, + "step": 1579 + }, + { + "epoch": 0.04, + "grad_norm": 2.0378886959290914, + "learning_rate": 1.9997274231654605e-05, + "loss": 1.0422, + "step": 1580 + }, + { + "epoch": 0.04, + "grad_norm": 1.6612068993161904, + "learning_rate": 1.9997256387880987e-05, + "loss": 0.8916, + "step": 1581 + }, + { + "epoch": 0.04, + "grad_norm": 0.769912542626668, + "learning_rate": 1.9997238485900175e-05, + "loss": 0.6628, + "step": 1582 + }, + { + "epoch": 0.04, + "grad_norm": 1.8859246735541089, + "learning_rate": 1.9997220525712276e-05, + "loss": 0.8138, + "step": 1583 + }, + { + "epoch": 0.04, + "grad_norm": 2.2450242854518567, + "learning_rate": 1.999720250731739e-05, + "loss": 1.0137, + "step": 1584 + }, + { + "epoch": 0.04, + "grad_norm": 0.796344761310367, + "learning_rate": 1.9997184430715632e-05, + "loss": 0.7315, + "step": 1585 + }, + { + "epoch": 0.04, + "grad_norm": 1.880272714971701, + "learning_rate": 1.9997166295907097e-05, + "loss": 0.8958, + "step": 1586 + }, + { + "epoch": 0.04, + "grad_norm": 1.7009923791106216, + "learning_rate": 1.9997148102891897e-05, + "loss": 0.8727, + "step": 1587 + }, + { + "epoch": 0.04, + "grad_norm": 1.835358744930637, + "learning_rate": 1.9997129851670136e-05, + "loss": 0.8525, + "step": 1588 + }, + { + "epoch": 0.04, + "grad_norm": 1.6273374861414052, + "learning_rate": 1.999711154224192e-05, + "loss": 1.0051, + "step": 1589 + }, + { + "epoch": 0.04, + "grad_norm": 1.8255767277996657, + "learning_rate": 1.9997093174607354e-05, + "loss": 0.8514, + "step": 1590 + }, + { + "epoch": 0.04, + "grad_norm": 1.7430382454436006, + "learning_rate": 1.999707474876655e-05, + "loss": 0.853, + "step": 1591 + }, + { + "epoch": 0.04, + "grad_norm": 1.8121297232703355, + "learning_rate": 1.9997056264719607e-05, + "loss": 1.0873, + "step": 1592 + }, + { + "epoch": 0.04, + "grad_norm": 1.80664953538914, + "learning_rate": 1.999703772246664e-05, + "loss": 0.925, + "step": 1593 + }, + { + "epoch": 0.04, + "grad_norm": 1.8158035662833767, + "learning_rate": 1.999701912200775e-05, + "loss": 0.9956, + "step": 1594 + }, + { + "epoch": 0.04, + "grad_norm": 1.7969107054189783, + "learning_rate": 1.9997000463343057e-05, + "loss": 0.8839, + "step": 1595 + }, + { + "epoch": 0.04, + "grad_norm": 1.7284447433026606, + "learning_rate": 1.9996981746472657e-05, + "loss": 1.0609, + "step": 1596 + }, + { + "epoch": 0.04, + "grad_norm": 2.0136398836004465, + "learning_rate": 1.9996962971396664e-05, + "loss": 0.8926, + "step": 1597 + }, + { + "epoch": 0.04, + "grad_norm": 1.8060341116905358, + "learning_rate": 1.9996944138115192e-05, + "loss": 0.9086, + "step": 1598 + }, + { + "epoch": 0.04, + "grad_norm": 1.7943927411534821, + "learning_rate": 1.9996925246628344e-05, + "loss": 0.813, + "step": 1599 + }, + { + "epoch": 0.04, + "grad_norm": 1.8327182247667608, + "learning_rate": 1.999690629693623e-05, + "loss": 0.9137, + "step": 1600 + }, + { + "epoch": 0.04, + "grad_norm": 2.1787475964125416, + "learning_rate": 1.9996887289038968e-05, + "loss": 0.7948, + "step": 1601 + }, + { + "epoch": 0.04, + "grad_norm": 2.3633427220568244, + "learning_rate": 1.999686822293666e-05, + "loss": 0.8391, + "step": 1602 + }, + { + "epoch": 0.04, + "grad_norm": 0.7542659109190508, + "learning_rate": 1.999684909862942e-05, + "loss": 0.6793, + "step": 1603 + }, + { + "epoch": 0.04, + "grad_norm": 1.9034841082211185, + "learning_rate": 1.999682991611736e-05, + "loss": 1.0203, + "step": 1604 + }, + { + "epoch": 0.04, + "grad_norm": 1.7829133842063671, + "learning_rate": 1.9996810675400588e-05, + "loss": 0.8651, + "step": 1605 + }, + { + "epoch": 0.04, + "grad_norm": 1.86784728065355, + "learning_rate": 1.9996791376479223e-05, + "loss": 0.8188, + "step": 1606 + }, + { + "epoch": 0.04, + "grad_norm": 1.7734131588517876, + "learning_rate": 1.9996772019353373e-05, + "loss": 0.8784, + "step": 1607 + }, + { + "epoch": 0.04, + "grad_norm": 2.6079090955973507, + "learning_rate": 1.9996752604023152e-05, + "loss": 0.9449, + "step": 1608 + }, + { + "epoch": 0.04, + "grad_norm": 2.4736986976509536, + "learning_rate": 1.999673313048867e-05, + "loss": 0.8294, + "step": 1609 + }, + { + "epoch": 0.04, + "grad_norm": 2.025621531755809, + "learning_rate": 1.9996713598750047e-05, + "loss": 0.8336, + "step": 1610 + }, + { + "epoch": 0.04, + "grad_norm": 2.572200669724049, + "learning_rate": 1.999669400880739e-05, + "loss": 0.9807, + "step": 1611 + }, + { + "epoch": 0.04, + "grad_norm": 2.0560829040863338, + "learning_rate": 1.9996674360660815e-05, + "loss": 0.8765, + "step": 1612 + }, + { + "epoch": 0.04, + "grad_norm": 2.0618233394394436, + "learning_rate": 1.999665465431044e-05, + "loss": 0.8148, + "step": 1613 + }, + { + "epoch": 0.04, + "grad_norm": 2.503648004499104, + "learning_rate": 1.999663488975637e-05, + "loss": 0.9903, + "step": 1614 + }, + { + "epoch": 0.04, + "grad_norm": 2.2369070412065053, + "learning_rate": 1.9996615066998733e-05, + "loss": 0.7788, + "step": 1615 + }, + { + "epoch": 0.04, + "grad_norm": 1.710550403668236, + "learning_rate": 1.9996595186037635e-05, + "loss": 0.9662, + "step": 1616 + }, + { + "epoch": 0.04, + "grad_norm": 1.9030608709073793, + "learning_rate": 1.9996575246873196e-05, + "loss": 0.9993, + "step": 1617 + }, + { + "epoch": 0.04, + "grad_norm": 2.1064773458290933, + "learning_rate": 1.9996555249505533e-05, + "loss": 0.9161, + "step": 1618 + }, + { + "epoch": 0.04, + "grad_norm": 1.7073800177858274, + "learning_rate": 1.999653519393476e-05, + "loss": 0.8423, + "step": 1619 + }, + { + "epoch": 0.04, + "grad_norm": 1.7754231273644554, + "learning_rate": 1.999651508016099e-05, + "loss": 0.9712, + "step": 1620 + }, + { + "epoch": 0.04, + "grad_norm": 1.684155952624959, + "learning_rate": 1.999649490818435e-05, + "loss": 1.0226, + "step": 1621 + }, + { + "epoch": 0.04, + "grad_norm": 1.592545594088582, + "learning_rate": 1.999647467800495e-05, + "loss": 0.9195, + "step": 1622 + }, + { + "epoch": 0.04, + "grad_norm": 2.6639856892841736, + "learning_rate": 1.999645438962291e-05, + "loss": 0.9812, + "step": 1623 + }, + { + "epoch": 0.04, + "grad_norm": 3.2786946257889484, + "learning_rate": 1.9996434043038344e-05, + "loss": 0.98, + "step": 1624 + }, + { + "epoch": 0.04, + "grad_norm": 1.6382151557309461, + "learning_rate": 1.9996413638251377e-05, + "loss": 1.1067, + "step": 1625 + }, + { + "epoch": 0.04, + "grad_norm": 1.5817954570943296, + "learning_rate": 1.9996393175262123e-05, + "loss": 1.0276, + "step": 1626 + }, + { + "epoch": 0.04, + "grad_norm": 2.6184237279409497, + "learning_rate": 1.9996372654070708e-05, + "loss": 0.946, + "step": 1627 + }, + { + "epoch": 0.04, + "grad_norm": 1.4591008688043743, + "learning_rate": 1.999635207467724e-05, + "loss": 0.8759, + "step": 1628 + }, + { + "epoch": 0.04, + "grad_norm": 1.8584359932774077, + "learning_rate": 1.999633143708185e-05, + "loss": 0.9231, + "step": 1629 + }, + { + "epoch": 0.04, + "grad_norm": 1.743169442219941, + "learning_rate": 1.9996310741284652e-05, + "loss": 0.9554, + "step": 1630 + }, + { + "epoch": 0.04, + "grad_norm": 0.7966076914817208, + "learning_rate": 1.999628998728577e-05, + "loss": 0.7356, + "step": 1631 + }, + { + "epoch": 0.04, + "grad_norm": 1.6529635733257062, + "learning_rate": 1.999626917508532e-05, + "loss": 0.9274, + "step": 1632 + }, + { + "epoch": 0.04, + "grad_norm": 0.788537115868023, + "learning_rate": 1.999624830468343e-05, + "loss": 0.7104, + "step": 1633 + }, + { + "epoch": 0.04, + "grad_norm": 1.6112829277895648, + "learning_rate": 1.9996227376080213e-05, + "loss": 0.9815, + "step": 1634 + }, + { + "epoch": 0.04, + "grad_norm": 0.7787458735542774, + "learning_rate": 1.99962063892758e-05, + "loss": 0.7144, + "step": 1635 + }, + { + "epoch": 0.04, + "grad_norm": 1.8571773725942813, + "learning_rate": 1.9996185344270306e-05, + "loss": 1.1678, + "step": 1636 + }, + { + "epoch": 0.04, + "grad_norm": 2.6938879903906368, + "learning_rate": 1.9996164241063857e-05, + "loss": 1.0334, + "step": 1637 + }, + { + "epoch": 0.04, + "grad_norm": 1.9017324895726204, + "learning_rate": 1.9996143079656575e-05, + "loss": 0.8174, + "step": 1638 + }, + { + "epoch": 0.04, + "grad_norm": 1.9530613717950354, + "learning_rate": 1.999612186004858e-05, + "loss": 0.9449, + "step": 1639 + }, + { + "epoch": 0.04, + "grad_norm": 1.9502092383577085, + "learning_rate": 1.9996100582240002e-05, + "loss": 1.0163, + "step": 1640 + }, + { + "epoch": 0.04, + "grad_norm": 1.601630679484191, + "learning_rate": 1.9996079246230962e-05, + "loss": 0.8761, + "step": 1641 + }, + { + "epoch": 0.04, + "grad_norm": 1.9670127093478988, + "learning_rate": 1.9996057852021584e-05, + "loss": 1.0223, + "step": 1642 + }, + { + "epoch": 0.04, + "grad_norm": 2.342410660736773, + "learning_rate": 1.9996036399611992e-05, + "loss": 0.8872, + "step": 1643 + }, + { + "epoch": 0.04, + "grad_norm": 0.8495535614155498, + "learning_rate": 1.999601488900231e-05, + "loss": 0.7104, + "step": 1644 + }, + { + "epoch": 0.04, + "grad_norm": 2.8984200223914067, + "learning_rate": 1.9995993320192668e-05, + "loss": 0.883, + "step": 1645 + }, + { + "epoch": 0.04, + "grad_norm": 1.708466000362097, + "learning_rate": 1.9995971693183185e-05, + "loss": 0.8957, + "step": 1646 + }, + { + "epoch": 0.04, + "grad_norm": 2.4711489343545425, + "learning_rate": 1.999595000797399e-05, + "loss": 0.8448, + "step": 1647 + }, + { + "epoch": 0.04, + "grad_norm": 1.742513045272388, + "learning_rate": 1.999592826456521e-05, + "loss": 0.9304, + "step": 1648 + }, + { + "epoch": 0.04, + "grad_norm": 1.9775178042199313, + "learning_rate": 1.9995906462956973e-05, + "loss": 0.8515, + "step": 1649 + }, + { + "epoch": 0.04, + "grad_norm": 1.6043154374951496, + "learning_rate": 1.9995884603149403e-05, + "loss": 0.9198, + "step": 1650 + }, + { + "epoch": 0.04, + "grad_norm": 0.825452904096607, + "learning_rate": 1.999586268514263e-05, + "loss": 0.6838, + "step": 1651 + }, + { + "epoch": 0.04, + "grad_norm": 0.8413857979409033, + "learning_rate": 1.9995840708936773e-05, + "loss": 0.7388, + "step": 1652 + }, + { + "epoch": 0.04, + "grad_norm": 1.5362060888086793, + "learning_rate": 1.9995818674531972e-05, + "loss": 0.9358, + "step": 1653 + }, + { + "epoch": 0.04, + "grad_norm": 1.955241049056127, + "learning_rate": 1.999579658192835e-05, + "loss": 0.9487, + "step": 1654 + }, + { + "epoch": 0.04, + "grad_norm": 1.6096944459916085, + "learning_rate": 1.9995774431126036e-05, + "loss": 0.9005, + "step": 1655 + }, + { + "epoch": 0.04, + "grad_norm": 2.2450022679963255, + "learning_rate": 1.999575222212516e-05, + "loss": 0.9114, + "step": 1656 + }, + { + "epoch": 0.04, + "grad_norm": 1.698620937820629, + "learning_rate": 1.9995729954925844e-05, + "loss": 0.949, + "step": 1657 + }, + { + "epoch": 0.04, + "grad_norm": 2.2385012317810595, + "learning_rate": 1.9995707629528227e-05, + "loss": 0.9814, + "step": 1658 + }, + { + "epoch": 0.04, + "grad_norm": 1.527438116024335, + "learning_rate": 1.9995685245932436e-05, + "loss": 0.8972, + "step": 1659 + }, + { + "epoch": 0.04, + "grad_norm": 1.7945671758755413, + "learning_rate": 1.99956628041386e-05, + "loss": 0.8689, + "step": 1660 + }, + { + "epoch": 0.04, + "grad_norm": 2.307125002363222, + "learning_rate": 1.999564030414685e-05, + "loss": 0.9638, + "step": 1661 + }, + { + "epoch": 0.04, + "grad_norm": 1.7191537733294082, + "learning_rate": 1.999561774595732e-05, + "loss": 1.0026, + "step": 1662 + }, + { + "epoch": 0.04, + "grad_norm": 1.7828921481231372, + "learning_rate": 1.999559512957014e-05, + "loss": 0.8661, + "step": 1663 + }, + { + "epoch": 0.04, + "grad_norm": 2.12464995836956, + "learning_rate": 1.9995572454985437e-05, + "loss": 0.877, + "step": 1664 + }, + { + "epoch": 0.04, + "grad_norm": 1.5186294869954802, + "learning_rate": 1.999554972220335e-05, + "loss": 1.0036, + "step": 1665 + }, + { + "epoch": 0.04, + "grad_norm": 1.6408430902529991, + "learning_rate": 1.9995526931224004e-05, + "loss": 0.9138, + "step": 1666 + }, + { + "epoch": 0.04, + "grad_norm": 1.738849955539084, + "learning_rate": 1.9995504082047538e-05, + "loss": 0.9353, + "step": 1667 + }, + { + "epoch": 0.04, + "grad_norm": 0.8678253160494009, + "learning_rate": 1.9995481174674084e-05, + "loss": 0.7811, + "step": 1668 + }, + { + "epoch": 0.04, + "grad_norm": 1.6760878253318456, + "learning_rate": 1.999545820910377e-05, + "loss": 0.9131, + "step": 1669 + }, + { + "epoch": 0.04, + "grad_norm": 1.7094213168629653, + "learning_rate": 1.9995435185336735e-05, + "loss": 0.9253, + "step": 1670 + }, + { + "epoch": 0.04, + "grad_norm": 1.6440810157052996, + "learning_rate": 1.9995412103373115e-05, + "loss": 0.8838, + "step": 1671 + }, + { + "epoch": 0.04, + "grad_norm": 2.21547895945985, + "learning_rate": 1.999538896321304e-05, + "loss": 1.0214, + "step": 1672 + }, + { + "epoch": 0.04, + "grad_norm": 0.8012290274172634, + "learning_rate": 1.9995365764856646e-05, + "loss": 0.7513, + "step": 1673 + }, + { + "epoch": 0.04, + "grad_norm": 1.6712256672504886, + "learning_rate": 1.9995342508304065e-05, + "loss": 1.0065, + "step": 1674 + }, + { + "epoch": 0.04, + "grad_norm": 1.6164916389539759, + "learning_rate": 1.999531919355544e-05, + "loss": 0.9157, + "step": 1675 + }, + { + "epoch": 0.04, + "grad_norm": 2.055178448035698, + "learning_rate": 1.9995295820610897e-05, + "loss": 0.8986, + "step": 1676 + }, + { + "epoch": 0.04, + "grad_norm": 2.2411913268887274, + "learning_rate": 1.9995272389470582e-05, + "loss": 0.9478, + "step": 1677 + }, + { + "epoch": 0.04, + "grad_norm": 0.8106475768240603, + "learning_rate": 1.9995248900134624e-05, + "loss": 0.7364, + "step": 1678 + }, + { + "epoch": 0.04, + "grad_norm": 1.4065544757439858, + "learning_rate": 1.9995225352603166e-05, + "loss": 0.7729, + "step": 1679 + }, + { + "epoch": 0.04, + "grad_norm": 2.0820284280452563, + "learning_rate": 1.9995201746876337e-05, + "loss": 0.9148, + "step": 1680 + }, + { + "epoch": 0.04, + "grad_norm": 1.7035386971060666, + "learning_rate": 1.999517808295428e-05, + "loss": 0.9825, + "step": 1681 + }, + { + "epoch": 0.04, + "grad_norm": 1.8150540027785498, + "learning_rate": 1.9995154360837135e-05, + "loss": 0.9815, + "step": 1682 + }, + { + "epoch": 0.04, + "grad_norm": 1.8485339809961687, + "learning_rate": 1.999513058052503e-05, + "loss": 0.9405, + "step": 1683 + }, + { + "epoch": 0.04, + "grad_norm": 2.094305363876127, + "learning_rate": 1.999510674201812e-05, + "loss": 0.9554, + "step": 1684 + }, + { + "epoch": 0.04, + "grad_norm": 2.1132428665738603, + "learning_rate": 1.9995082845316528e-05, + "loss": 0.9769, + "step": 1685 + }, + { + "epoch": 0.04, + "grad_norm": 1.6960782751634202, + "learning_rate": 1.99950588904204e-05, + "loss": 0.9203, + "step": 1686 + }, + { + "epoch": 0.04, + "grad_norm": 1.8756003324624029, + "learning_rate": 1.9995034877329876e-05, + "loss": 0.9651, + "step": 1687 + }, + { + "epoch": 0.04, + "grad_norm": 1.8695691386168074, + "learning_rate": 1.9995010806045096e-05, + "loss": 0.9923, + "step": 1688 + }, + { + "epoch": 0.04, + "grad_norm": 1.775734241867895, + "learning_rate": 1.9994986676566194e-05, + "loss": 0.9739, + "step": 1689 + }, + { + "epoch": 0.04, + "grad_norm": 2.129760110795647, + "learning_rate": 1.9994962488893316e-05, + "loss": 0.7703, + "step": 1690 + }, + { + "epoch": 0.04, + "grad_norm": 1.5922800676392608, + "learning_rate": 1.9994938243026605e-05, + "loss": 0.9666, + "step": 1691 + }, + { + "epoch": 0.04, + "grad_norm": 0.8438478340071592, + "learning_rate": 1.99949139389662e-05, + "loss": 0.7371, + "step": 1692 + }, + { + "epoch": 0.04, + "grad_norm": 1.8093568907913287, + "learning_rate": 1.999488957671224e-05, + "loss": 0.8207, + "step": 1693 + }, + { + "epoch": 0.04, + "grad_norm": 4.13018390828409, + "learning_rate": 1.9994865156264868e-05, + "loss": 0.8764, + "step": 1694 + }, + { + "epoch": 0.04, + "grad_norm": 2.3758335753393616, + "learning_rate": 1.9994840677624226e-05, + "loss": 0.8032, + "step": 1695 + }, + { + "epoch": 0.04, + "grad_norm": 1.8711111507267413, + "learning_rate": 1.999481614079046e-05, + "loss": 0.9381, + "step": 1696 + }, + { + "epoch": 0.04, + "grad_norm": 1.9131228225919197, + "learning_rate": 1.9994791545763707e-05, + "loss": 1.0397, + "step": 1697 + }, + { + "epoch": 0.04, + "grad_norm": 1.7712869104982638, + "learning_rate": 1.9994766892544113e-05, + "loss": 0.9804, + "step": 1698 + }, + { + "epoch": 0.04, + "grad_norm": 2.6393032597589015, + "learning_rate": 1.9994742181131824e-05, + "loss": 0.8334, + "step": 1699 + }, + { + "epoch": 0.04, + "grad_norm": 1.8985781844992609, + "learning_rate": 1.999471741152698e-05, + "loss": 0.8985, + "step": 1700 + }, + { + "epoch": 0.04, + "grad_norm": 1.6800547934091234, + "learning_rate": 1.9994692583729728e-05, + "loss": 0.9517, + "step": 1701 + }, + { + "epoch": 0.04, + "grad_norm": 1.6978283538189844, + "learning_rate": 1.9994667697740212e-05, + "loss": 0.9504, + "step": 1702 + }, + { + "epoch": 0.04, + "grad_norm": 1.8516537619560274, + "learning_rate": 1.9994642753558577e-05, + "loss": 0.9408, + "step": 1703 + }, + { + "epoch": 0.04, + "grad_norm": 2.0899262900797546, + "learning_rate": 1.999461775118497e-05, + "loss": 0.9479, + "step": 1704 + }, + { + "epoch": 0.04, + "grad_norm": 1.6872048789962146, + "learning_rate": 1.9994592690619526e-05, + "loss": 0.9335, + "step": 1705 + }, + { + "epoch": 0.04, + "grad_norm": 2.148396875541959, + "learning_rate": 1.9994567571862405e-05, + "loss": 1.0208, + "step": 1706 + }, + { + "epoch": 0.04, + "grad_norm": 2.0666840242982647, + "learning_rate": 1.9994542394913748e-05, + "loss": 0.9991, + "step": 1707 + }, + { + "epoch": 0.04, + "grad_norm": 2.0602601922241695, + "learning_rate": 1.99945171597737e-05, + "loss": 0.9925, + "step": 1708 + }, + { + "epoch": 0.04, + "grad_norm": 1.5993859960911425, + "learning_rate": 1.9994491866442408e-05, + "loss": 1.0046, + "step": 1709 + }, + { + "epoch": 0.04, + "grad_norm": 0.7927007816241685, + "learning_rate": 1.9994466514920023e-05, + "loss": 0.7282, + "step": 1710 + }, + { + "epoch": 0.04, + "grad_norm": 1.7212740277352043, + "learning_rate": 1.9994441105206684e-05, + "loss": 0.911, + "step": 1711 + }, + { + "epoch": 0.04, + "grad_norm": 1.9421573789368154, + "learning_rate": 1.9994415637302545e-05, + "loss": 0.8953, + "step": 1712 + }, + { + "epoch": 0.04, + "grad_norm": 4.260311556018887, + "learning_rate": 1.999439011120776e-05, + "loss": 0.9709, + "step": 1713 + }, + { + "epoch": 0.04, + "grad_norm": 1.747508346495273, + "learning_rate": 1.9994364526922467e-05, + "loss": 1.0059, + "step": 1714 + }, + { + "epoch": 0.04, + "grad_norm": 1.8328189070091943, + "learning_rate": 1.9994338884446823e-05, + "loss": 0.9282, + "step": 1715 + }, + { + "epoch": 0.04, + "grad_norm": 0.7943574158745319, + "learning_rate": 1.999431318378097e-05, + "loss": 0.7258, + "step": 1716 + }, + { + "epoch": 0.04, + "grad_norm": 1.9972491172056661, + "learning_rate": 1.9994287424925063e-05, + "loss": 0.7942, + "step": 1717 + }, + { + "epoch": 0.04, + "grad_norm": 1.6464202983181129, + "learning_rate": 1.9994261607879252e-05, + "loss": 0.9438, + "step": 1718 + }, + { + "epoch": 0.04, + "grad_norm": 2.0020573996654334, + "learning_rate": 1.9994235732643687e-05, + "loss": 0.9386, + "step": 1719 + }, + { + "epoch": 0.04, + "grad_norm": 2.0950613410119656, + "learning_rate": 1.9994209799218514e-05, + "loss": 0.9186, + "step": 1720 + }, + { + "epoch": 0.04, + "grad_norm": 1.8485742721763716, + "learning_rate": 1.9994183807603885e-05, + "loss": 0.964, + "step": 1721 + }, + { + "epoch": 0.04, + "grad_norm": 1.782088286934138, + "learning_rate": 1.999415775779996e-05, + "loss": 0.9029, + "step": 1722 + }, + { + "epoch": 0.04, + "grad_norm": 0.8191624257781012, + "learning_rate": 1.999413164980688e-05, + "loss": 0.781, + "step": 1723 + }, + { + "epoch": 0.04, + "grad_norm": 1.689964373428912, + "learning_rate": 1.9994105483624807e-05, + "loss": 0.8923, + "step": 1724 + }, + { + "epoch": 0.04, + "grad_norm": 1.9077981457611564, + "learning_rate": 1.9994079259253883e-05, + "loss": 0.8948, + "step": 1725 + }, + { + "epoch": 0.04, + "grad_norm": 1.7890378290867603, + "learning_rate": 1.9994052976694265e-05, + "loss": 0.8009, + "step": 1726 + }, + { + "epoch": 0.04, + "grad_norm": 1.9238600151267815, + "learning_rate": 1.999402663594611e-05, + "loss": 0.9197, + "step": 1727 + }, + { + "epoch": 0.04, + "grad_norm": 1.5158399926270985, + "learning_rate": 1.9994000237009565e-05, + "loss": 0.9304, + "step": 1728 + }, + { + "epoch": 0.04, + "grad_norm": 1.971533134188685, + "learning_rate": 1.9993973779884785e-05, + "loss": 1.0509, + "step": 1729 + }, + { + "epoch": 0.04, + "grad_norm": 1.6741646491105175, + "learning_rate": 1.999394726457193e-05, + "loss": 0.9075, + "step": 1730 + }, + { + "epoch": 0.04, + "grad_norm": 1.798810063051662, + "learning_rate": 1.9993920691071146e-05, + "loss": 0.8858, + "step": 1731 + }, + { + "epoch": 0.04, + "grad_norm": 1.77663619425195, + "learning_rate": 1.9993894059382595e-05, + "loss": 0.832, + "step": 1732 + }, + { + "epoch": 0.04, + "grad_norm": 1.7366741783482906, + "learning_rate": 1.999386736950643e-05, + "loss": 0.843, + "step": 1733 + }, + { + "epoch": 0.04, + "grad_norm": 1.6621498394423972, + "learning_rate": 1.9993840621442802e-05, + "loss": 0.9733, + "step": 1734 + }, + { + "epoch": 0.04, + "grad_norm": 0.7744420239396255, + "learning_rate": 1.9993813815191868e-05, + "loss": 0.6979, + "step": 1735 + }, + { + "epoch": 0.04, + "grad_norm": 1.6148400186382317, + "learning_rate": 1.9993786950753792e-05, + "loss": 0.8994, + "step": 1736 + }, + { + "epoch": 0.04, + "grad_norm": 1.8716826797956978, + "learning_rate": 1.999376002812872e-05, + "loss": 0.8735, + "step": 1737 + }, + { + "epoch": 0.04, + "grad_norm": 1.6371496623830557, + "learning_rate": 1.9993733047316814e-05, + "loss": 1.0359, + "step": 1738 + }, + { + "epoch": 0.04, + "grad_norm": 0.7666608914079274, + "learning_rate": 1.999370600831823e-05, + "loss": 0.7491, + "step": 1739 + }, + { + "epoch": 0.04, + "grad_norm": 2.0842686565823856, + "learning_rate": 1.9993678911133126e-05, + "loss": 0.9329, + "step": 1740 + }, + { + "epoch": 0.04, + "grad_norm": 1.889340212376937, + "learning_rate": 1.9993651755761658e-05, + "loss": 1.0099, + "step": 1741 + }, + { + "epoch": 0.04, + "grad_norm": 1.469501517795714, + "learning_rate": 1.9993624542203987e-05, + "loss": 0.9856, + "step": 1742 + }, + { + "epoch": 0.04, + "grad_norm": 1.6038134007966056, + "learning_rate": 1.9993597270460273e-05, + "loss": 0.9726, + "step": 1743 + }, + { + "epoch": 0.04, + "grad_norm": 1.602820894407549, + "learning_rate": 1.999356994053067e-05, + "loss": 1.0725, + "step": 1744 + }, + { + "epoch": 0.04, + "grad_norm": 2.1083564918117017, + "learning_rate": 1.9993542552415334e-05, + "loss": 0.9463, + "step": 1745 + }, + { + "epoch": 0.04, + "grad_norm": 1.5344776594025435, + "learning_rate": 1.9993515106114433e-05, + "loss": 0.9902, + "step": 1746 + }, + { + "epoch": 0.04, + "grad_norm": 2.211808462916918, + "learning_rate": 1.9993487601628124e-05, + "loss": 0.8054, + "step": 1747 + }, + { + "epoch": 0.04, + "grad_norm": 1.5726324824046345, + "learning_rate": 1.9993460038956565e-05, + "loss": 0.9494, + "step": 1748 + }, + { + "epoch": 0.04, + "grad_norm": 1.9295214037850947, + "learning_rate": 1.999343241809992e-05, + "loss": 0.8674, + "step": 1749 + }, + { + "epoch": 0.04, + "grad_norm": 2.24840314143114, + "learning_rate": 1.9993404739058346e-05, + "loss": 0.9171, + "step": 1750 + }, + { + "epoch": 0.04, + "grad_norm": 0.7641385990406487, + "learning_rate": 1.9993377001832005e-05, + "loss": 0.7037, + "step": 1751 + }, + { + "epoch": 0.04, + "grad_norm": 1.897418473547005, + "learning_rate": 1.999334920642106e-05, + "loss": 0.8534, + "step": 1752 + }, + { + "epoch": 0.04, + "grad_norm": 2.6205222306688642, + "learning_rate": 1.999332135282567e-05, + "loss": 0.9717, + "step": 1753 + }, + { + "epoch": 0.04, + "grad_norm": 1.703615490156728, + "learning_rate": 1.9993293441046e-05, + "loss": 0.8553, + "step": 1754 + }, + { + "epoch": 0.04, + "grad_norm": 1.7181728712836988, + "learning_rate": 1.9993265471082213e-05, + "loss": 1.0037, + "step": 1755 + }, + { + "epoch": 0.04, + "grad_norm": 1.830518040249583, + "learning_rate": 1.999323744293447e-05, + "loss": 0.9974, + "step": 1756 + }, + { + "epoch": 0.04, + "grad_norm": 1.65295750366764, + "learning_rate": 1.999320935660294e-05, + "loss": 1.0149, + "step": 1757 + }, + { + "epoch": 0.04, + "grad_norm": 1.7665337791698839, + "learning_rate": 1.9993181212087775e-05, + "loss": 0.7496, + "step": 1758 + }, + { + "epoch": 0.04, + "grad_norm": 4.106375811407699, + "learning_rate": 1.9993153009389145e-05, + "loss": 0.8636, + "step": 1759 + }, + { + "epoch": 0.04, + "grad_norm": 1.7721986134811927, + "learning_rate": 1.999312474850722e-05, + "loss": 0.951, + "step": 1760 + }, + { + "epoch": 0.04, + "grad_norm": 1.9137605056499012, + "learning_rate": 1.9993096429442153e-05, + "loss": 0.9757, + "step": 1761 + }, + { + "epoch": 0.04, + "grad_norm": 1.5965392482054357, + "learning_rate": 1.9993068052194115e-05, + "loss": 0.7708, + "step": 1762 + }, + { + "epoch": 0.04, + "grad_norm": 1.7166330527515292, + "learning_rate": 1.9993039616763276e-05, + "loss": 0.8545, + "step": 1763 + }, + { + "epoch": 0.04, + "grad_norm": 0.7609725208715719, + "learning_rate": 1.999301112314979e-05, + "loss": 0.6911, + "step": 1764 + }, + { + "epoch": 0.04, + "grad_norm": 2.024244946017813, + "learning_rate": 1.9992982571353837e-05, + "loss": 0.749, + "step": 1765 + }, + { + "epoch": 0.04, + "grad_norm": 0.8190598873732227, + "learning_rate": 1.9992953961375573e-05, + "loss": 0.7592, + "step": 1766 + }, + { + "epoch": 0.04, + "grad_norm": 0.829140152730974, + "learning_rate": 1.9992925293215164e-05, + "loss": 0.7805, + "step": 1767 + }, + { + "epoch": 0.04, + "grad_norm": 1.9539485330655788, + "learning_rate": 1.999289656687278e-05, + "loss": 0.8965, + "step": 1768 + }, + { + "epoch": 0.04, + "grad_norm": 0.7672762710645644, + "learning_rate": 1.9992867782348595e-05, + "loss": 0.6865, + "step": 1769 + }, + { + "epoch": 0.04, + "grad_norm": 1.686543087418232, + "learning_rate": 1.9992838939642766e-05, + "loss": 0.9606, + "step": 1770 + }, + { + "epoch": 0.04, + "grad_norm": 1.9396558516956497, + "learning_rate": 1.9992810038755464e-05, + "loss": 0.9417, + "step": 1771 + }, + { + "epoch": 0.04, + "grad_norm": 2.090606140371637, + "learning_rate": 1.999278107968686e-05, + "loss": 0.8301, + "step": 1772 + }, + { + "epoch": 0.04, + "grad_norm": 1.8806427966204902, + "learning_rate": 1.999275206243712e-05, + "loss": 0.7791, + "step": 1773 + }, + { + "epoch": 0.04, + "grad_norm": 2.162852738508095, + "learning_rate": 1.9992722987006412e-05, + "loss": 0.925, + "step": 1774 + }, + { + "epoch": 0.04, + "grad_norm": 1.789554115512833, + "learning_rate": 1.999269385339491e-05, + "loss": 0.7991, + "step": 1775 + }, + { + "epoch": 0.04, + "grad_norm": 1.9189560998790565, + "learning_rate": 1.9992664661602782e-05, + "loss": 0.8752, + "step": 1776 + }, + { + "epoch": 0.04, + "grad_norm": 0.8180311690615619, + "learning_rate": 1.9992635411630194e-05, + "loss": 0.6957, + "step": 1777 + }, + { + "epoch": 0.04, + "grad_norm": 1.5809234176387517, + "learning_rate": 1.9992606103477318e-05, + "loss": 0.831, + "step": 1778 + }, + { + "epoch": 0.04, + "grad_norm": 1.704415431038897, + "learning_rate": 1.999257673714433e-05, + "loss": 0.8747, + "step": 1779 + }, + { + "epoch": 0.04, + "grad_norm": 1.8078758053228918, + "learning_rate": 1.999254731263139e-05, + "loss": 0.9278, + "step": 1780 + }, + { + "epoch": 0.04, + "grad_norm": 2.283986706010367, + "learning_rate": 1.9992517829938683e-05, + "loss": 0.8675, + "step": 1781 + }, + { + "epoch": 0.04, + "grad_norm": 1.950075795540608, + "learning_rate": 1.999248828906637e-05, + "loss": 0.9848, + "step": 1782 + }, + { + "epoch": 0.04, + "grad_norm": 2.0568629742212305, + "learning_rate": 1.9992458690014625e-05, + "loss": 0.8601, + "step": 1783 + }, + { + "epoch": 0.04, + "grad_norm": 0.7966482911407898, + "learning_rate": 1.9992429032783625e-05, + "loss": 0.7446, + "step": 1784 + }, + { + "epoch": 0.04, + "grad_norm": 1.841410607995906, + "learning_rate": 1.9992399317373537e-05, + "loss": 0.9412, + "step": 1785 + }, + { + "epoch": 0.04, + "grad_norm": 1.6498601293448216, + "learning_rate": 1.999236954378454e-05, + "loss": 0.9061, + "step": 1786 + }, + { + "epoch": 0.04, + "grad_norm": 2.2586394801291663, + "learning_rate": 1.9992339712016805e-05, + "loss": 0.8651, + "step": 1787 + }, + { + "epoch": 0.04, + "grad_norm": 2.3054032233993946, + "learning_rate": 1.9992309822070503e-05, + "loss": 1.0051, + "step": 1788 + }, + { + "epoch": 0.04, + "grad_norm": 1.8777115352812639, + "learning_rate": 1.9992279873945807e-05, + "loss": 1.0819, + "step": 1789 + }, + { + "epoch": 0.04, + "grad_norm": 1.8366166231559695, + "learning_rate": 1.9992249867642894e-05, + "loss": 0.8298, + "step": 1790 + }, + { + "epoch": 0.04, + "grad_norm": 1.652003451909213, + "learning_rate": 1.999221980316194e-05, + "loss": 1.0027, + "step": 1791 + }, + { + "epoch": 0.04, + "grad_norm": 1.821092305217102, + "learning_rate": 1.9992189680503124e-05, + "loss": 0.9163, + "step": 1792 + }, + { + "epoch": 0.04, + "grad_norm": 1.6037405286980435, + "learning_rate": 1.999215949966661e-05, + "loss": 0.9121, + "step": 1793 + }, + { + "epoch": 0.04, + "grad_norm": 1.5753450677420249, + "learning_rate": 1.999212926065258e-05, + "loss": 0.8732, + "step": 1794 + }, + { + "epoch": 0.04, + "grad_norm": 1.5973114383941813, + "learning_rate": 1.9992098963461213e-05, + "loss": 0.8658, + "step": 1795 + }, + { + "epoch": 0.04, + "grad_norm": 1.9475656603058193, + "learning_rate": 1.999206860809268e-05, + "loss": 0.9184, + "step": 1796 + }, + { + "epoch": 0.04, + "grad_norm": 2.305892858131083, + "learning_rate": 1.9992038194547163e-05, + "loss": 0.933, + "step": 1797 + }, + { + "epoch": 0.04, + "grad_norm": 1.5394729303413233, + "learning_rate": 1.9992007722824832e-05, + "loss": 0.8496, + "step": 1798 + }, + { + "epoch": 0.04, + "grad_norm": 1.4896937515713793, + "learning_rate": 1.999197719292587e-05, + "loss": 0.8688, + "step": 1799 + }, + { + "epoch": 0.04, + "grad_norm": 2.3681089579546963, + "learning_rate": 1.9991946604850456e-05, + "loss": 0.8828, + "step": 1800 + }, + { + "epoch": 0.04, + "grad_norm": 1.797997628335516, + "learning_rate": 1.9991915958598766e-05, + "loss": 0.8559, + "step": 1801 + }, + { + "epoch": 0.04, + "grad_norm": 1.7517103161457859, + "learning_rate": 1.9991885254170972e-05, + "loss": 1.0107, + "step": 1802 + }, + { + "epoch": 0.04, + "grad_norm": 1.8280227750169045, + "learning_rate": 1.9991854491567265e-05, + "loss": 1.0545, + "step": 1803 + }, + { + "epoch": 0.04, + "grad_norm": 1.672391350538439, + "learning_rate": 1.9991823670787817e-05, + "loss": 1.0083, + "step": 1804 + }, + { + "epoch": 0.04, + "grad_norm": 0.8142182835937212, + "learning_rate": 1.9991792791832805e-05, + "loss": 0.7634, + "step": 1805 + }, + { + "epoch": 0.04, + "grad_norm": 1.7632630712449269, + "learning_rate": 1.999176185470241e-05, + "loss": 0.8328, + "step": 1806 + }, + { + "epoch": 0.04, + "grad_norm": 1.4375751249540953, + "learning_rate": 1.9991730859396822e-05, + "loss": 0.9277, + "step": 1807 + }, + { + "epoch": 0.04, + "grad_norm": 0.8196041983689156, + "learning_rate": 1.9991699805916207e-05, + "loss": 0.7215, + "step": 1808 + }, + { + "epoch": 0.04, + "grad_norm": 2.064392054951163, + "learning_rate": 1.9991668694260756e-05, + "loss": 1.0169, + "step": 1809 + }, + { + "epoch": 0.04, + "grad_norm": 1.919527210728221, + "learning_rate": 1.9991637524430642e-05, + "loss": 0.8069, + "step": 1810 + }, + { + "epoch": 0.04, + "grad_norm": 0.7583960785983828, + "learning_rate": 1.9991606296426054e-05, + "loss": 0.7319, + "step": 1811 + }, + { + "epoch": 0.04, + "grad_norm": 1.9690299664967081, + "learning_rate": 1.9991575010247173e-05, + "loss": 0.9014, + "step": 1812 + }, + { + "epoch": 0.04, + "grad_norm": 1.7430279602484067, + "learning_rate": 1.9991543665894177e-05, + "loss": 0.9386, + "step": 1813 + }, + { + "epoch": 0.04, + "grad_norm": 0.8106303505613058, + "learning_rate": 1.999151226336725e-05, + "loss": 0.7656, + "step": 1814 + }, + { + "epoch": 0.04, + "grad_norm": 0.8336093139695361, + "learning_rate": 1.9991480802666573e-05, + "loss": 0.6698, + "step": 1815 + }, + { + "epoch": 0.04, + "grad_norm": 2.205870769847105, + "learning_rate": 1.9991449283792338e-05, + "loss": 0.9808, + "step": 1816 + }, + { + "epoch": 0.04, + "grad_norm": 1.4281069434803997, + "learning_rate": 1.9991417706744718e-05, + "loss": 0.9106, + "step": 1817 + }, + { + "epoch": 0.04, + "grad_norm": 1.7755723638825314, + "learning_rate": 1.99913860715239e-05, + "loss": 0.9127, + "step": 1818 + }, + { + "epoch": 0.04, + "grad_norm": 1.8177521264628254, + "learning_rate": 1.9991354378130074e-05, + "loss": 0.8864, + "step": 1819 + }, + { + "epoch": 0.04, + "grad_norm": 2.0953775168878837, + "learning_rate": 1.9991322626563413e-05, + "loss": 0.9021, + "step": 1820 + }, + { + "epoch": 0.04, + "grad_norm": 1.6694401865964548, + "learning_rate": 1.9991290816824112e-05, + "loss": 1.0071, + "step": 1821 + }, + { + "epoch": 0.04, + "grad_norm": 1.8654386982052629, + "learning_rate": 1.999125894891235e-05, + "loss": 0.9898, + "step": 1822 + }, + { + "epoch": 0.04, + "grad_norm": 1.8755769778782176, + "learning_rate": 1.999122702282832e-05, + "loss": 1.1222, + "step": 1823 + }, + { + "epoch": 0.04, + "grad_norm": 1.4819322902832395, + "learning_rate": 1.99911950385722e-05, + "loss": 0.8935, + "step": 1824 + }, + { + "epoch": 0.04, + "grad_norm": 1.6098322714586295, + "learning_rate": 1.999116299614418e-05, + "loss": 0.8853, + "step": 1825 + }, + { + "epoch": 0.04, + "grad_norm": 1.68989430087454, + "learning_rate": 1.9991130895544443e-05, + "loss": 0.9101, + "step": 1826 + }, + { + "epoch": 0.04, + "grad_norm": 1.6092718573672975, + "learning_rate": 1.999109873677318e-05, + "loss": 0.8765, + "step": 1827 + }, + { + "epoch": 0.04, + "grad_norm": 1.8204622533399912, + "learning_rate": 1.9991066519830584e-05, + "loss": 0.8617, + "step": 1828 + }, + { + "epoch": 0.04, + "grad_norm": 2.4596672494692404, + "learning_rate": 1.9991034244716826e-05, + "loss": 0.8433, + "step": 1829 + }, + { + "epoch": 0.04, + "grad_norm": 0.8202991120134333, + "learning_rate": 1.9991001911432108e-05, + "loss": 0.7594, + "step": 1830 + }, + { + "epoch": 0.04, + "grad_norm": 1.6470162709869702, + "learning_rate": 1.9990969519976614e-05, + "loss": 0.851, + "step": 1831 + }, + { + "epoch": 0.04, + "grad_norm": 1.811587341500778, + "learning_rate": 1.999093707035053e-05, + "loss": 0.8954, + "step": 1832 + }, + { + "epoch": 0.04, + "grad_norm": 1.7395020873253755, + "learning_rate": 1.9990904562554048e-05, + "loss": 0.9664, + "step": 1833 + }, + { + "epoch": 0.04, + "grad_norm": 1.5401832480224937, + "learning_rate": 1.999087199658736e-05, + "loss": 0.9641, + "step": 1834 + }, + { + "epoch": 0.04, + "grad_norm": 1.9321155473071585, + "learning_rate": 1.999083937245065e-05, + "loss": 0.9595, + "step": 1835 + }, + { + "epoch": 0.04, + "grad_norm": 1.7668976938683696, + "learning_rate": 1.999080669014411e-05, + "loss": 0.8254, + "step": 1836 + }, + { + "epoch": 0.04, + "grad_norm": 2.3282099020181266, + "learning_rate": 1.999077394966793e-05, + "loss": 0.9696, + "step": 1837 + }, + { + "epoch": 0.04, + "grad_norm": 2.0442032896703695, + "learning_rate": 1.9990741151022302e-05, + "loss": 1.046, + "step": 1838 + }, + { + "epoch": 0.04, + "grad_norm": 1.5873729943239343, + "learning_rate": 1.9990708294207414e-05, + "loss": 0.7851, + "step": 1839 + }, + { + "epoch": 0.04, + "grad_norm": 1.5412388742489698, + "learning_rate": 1.999067537922346e-05, + "loss": 0.92, + "step": 1840 + }, + { + "epoch": 0.04, + "grad_norm": 2.2466940060124196, + "learning_rate": 1.9990642406070634e-05, + "loss": 0.8015, + "step": 1841 + }, + { + "epoch": 0.04, + "grad_norm": 1.7309841102942163, + "learning_rate": 1.999060937474912e-05, + "loss": 0.9272, + "step": 1842 + }, + { + "epoch": 0.04, + "grad_norm": 1.635567140411678, + "learning_rate": 1.999057628525912e-05, + "loss": 0.9583, + "step": 1843 + }, + { + "epoch": 0.04, + "grad_norm": 1.6344450049032297, + "learning_rate": 1.9990543137600816e-05, + "loss": 0.9333, + "step": 1844 + }, + { + "epoch": 0.04, + "grad_norm": 1.7985270337312702, + "learning_rate": 1.9990509931774412e-05, + "loss": 0.9157, + "step": 1845 + }, + { + "epoch": 0.04, + "grad_norm": 1.607341760576823, + "learning_rate": 1.9990476667780097e-05, + "loss": 0.9823, + "step": 1846 + }, + { + "epoch": 0.04, + "grad_norm": 1.747432898172235, + "learning_rate": 1.999044334561806e-05, + "loss": 0.9616, + "step": 1847 + }, + { + "epoch": 0.04, + "grad_norm": 1.6168044941369357, + "learning_rate": 1.9990409965288503e-05, + "loss": 0.9381, + "step": 1848 + }, + { + "epoch": 0.04, + "grad_norm": 1.7280295031580672, + "learning_rate": 1.999037652679161e-05, + "loss": 0.975, + "step": 1849 + }, + { + "epoch": 0.04, + "grad_norm": 1.7704916954852141, + "learning_rate": 1.9990343030127588e-05, + "loss": 0.9336, + "step": 1850 + }, + { + "epoch": 0.04, + "grad_norm": 0.8262122602461424, + "learning_rate": 1.9990309475296623e-05, + "loss": 0.7075, + "step": 1851 + }, + { + "epoch": 0.04, + "grad_norm": 2.0963298803018757, + "learning_rate": 1.9990275862298916e-05, + "loss": 0.86, + "step": 1852 + }, + { + "epoch": 0.04, + "grad_norm": 2.4506284356631673, + "learning_rate": 1.9990242191134657e-05, + "loss": 0.8452, + "step": 1853 + }, + { + "epoch": 0.04, + "grad_norm": 1.8367404539777796, + "learning_rate": 1.999020846180405e-05, + "loss": 0.9517, + "step": 1854 + }, + { + "epoch": 0.04, + "grad_norm": 1.8148829586972137, + "learning_rate": 1.999017467430728e-05, + "loss": 0.8857, + "step": 1855 + }, + { + "epoch": 0.04, + "grad_norm": 1.6210765253869694, + "learning_rate": 1.9990140828644553e-05, + "loss": 0.9588, + "step": 1856 + }, + { + "epoch": 0.04, + "grad_norm": 1.6736996590199502, + "learning_rate": 1.999010692481606e-05, + "loss": 0.8957, + "step": 1857 + }, + { + "epoch": 0.04, + "grad_norm": 1.6776888600087196, + "learning_rate": 1.999007296282201e-05, + "loss": 0.9013, + "step": 1858 + }, + { + "epoch": 0.04, + "grad_norm": 1.7393296133466474, + "learning_rate": 1.9990038942662585e-05, + "loss": 0.9113, + "step": 1859 + }, + { + "epoch": 0.04, + "grad_norm": 1.6553283421552096, + "learning_rate": 1.9990004864337994e-05, + "loss": 0.9443, + "step": 1860 + }, + { + "epoch": 0.04, + "grad_norm": 1.8150659801081825, + "learning_rate": 1.998997072784843e-05, + "loss": 0.8284, + "step": 1861 + }, + { + "epoch": 0.04, + "grad_norm": 2.4098214367889246, + "learning_rate": 1.9989936533194093e-05, + "loss": 0.8395, + "step": 1862 + }, + { + "epoch": 0.04, + "grad_norm": 1.812022688059446, + "learning_rate": 1.9989902280375185e-05, + "loss": 0.9748, + "step": 1863 + }, + { + "epoch": 0.04, + "grad_norm": 1.7217672728100966, + "learning_rate": 1.9989867969391904e-05, + "loss": 1.0103, + "step": 1864 + }, + { + "epoch": 0.04, + "grad_norm": 1.794540327248707, + "learning_rate": 1.9989833600244446e-05, + "loss": 0.8584, + "step": 1865 + }, + { + "epoch": 0.04, + "grad_norm": 1.5301551884800138, + "learning_rate": 1.9989799172933018e-05, + "loss": 0.973, + "step": 1866 + }, + { + "epoch": 0.04, + "grad_norm": 2.0513925081913316, + "learning_rate": 1.9989764687457813e-05, + "loss": 1.0756, + "step": 1867 + }, + { + "epoch": 0.04, + "grad_norm": 1.5659089081672786, + "learning_rate": 1.9989730143819033e-05, + "loss": 0.979, + "step": 1868 + }, + { + "epoch": 0.04, + "grad_norm": 2.2984777801316962, + "learning_rate": 1.9989695542016887e-05, + "loss": 0.9927, + "step": 1869 + }, + { + "epoch": 0.04, + "grad_norm": 0.8527454673454222, + "learning_rate": 1.998966088205157e-05, + "loss": 0.7743, + "step": 1870 + }, + { + "epoch": 0.04, + "grad_norm": 2.582176722647412, + "learning_rate": 1.998962616392328e-05, + "loss": 0.9075, + "step": 1871 + }, + { + "epoch": 0.04, + "grad_norm": 1.6253285693022521, + "learning_rate": 1.998959138763223e-05, + "loss": 0.944, + "step": 1872 + }, + { + "epoch": 0.04, + "grad_norm": 1.5675717778210156, + "learning_rate": 1.998955655317861e-05, + "loss": 1.0528, + "step": 1873 + }, + { + "epoch": 0.04, + "grad_norm": 1.8219602748954724, + "learning_rate": 1.998952166056263e-05, + "loss": 0.9335, + "step": 1874 + }, + { + "epoch": 0.04, + "grad_norm": 1.6293241419490616, + "learning_rate": 1.99894867097845e-05, + "loss": 1.0232, + "step": 1875 + }, + { + "epoch": 0.04, + "grad_norm": 2.687934287702198, + "learning_rate": 1.998945170084441e-05, + "loss": 0.8905, + "step": 1876 + }, + { + "epoch": 0.04, + "grad_norm": 1.7793214146551521, + "learning_rate": 1.998941663374257e-05, + "loss": 0.9897, + "step": 1877 + }, + { + "epoch": 0.04, + "grad_norm": 1.861786439425863, + "learning_rate": 1.998938150847918e-05, + "loss": 0.9221, + "step": 1878 + }, + { + "epoch": 0.04, + "grad_norm": 0.8788894339283927, + "learning_rate": 1.9989346325054454e-05, + "loss": 0.8137, + "step": 1879 + }, + { + "epoch": 0.04, + "grad_norm": 0.7931256244779462, + "learning_rate": 1.998931108346859e-05, + "loss": 0.7056, + "step": 1880 + }, + { + "epoch": 0.04, + "grad_norm": 2.3083347549041218, + "learning_rate": 1.998927578372179e-05, + "loss": 1.0138, + "step": 1881 + }, + { + "epoch": 0.04, + "grad_norm": 1.879330807121127, + "learning_rate": 1.998924042581427e-05, + "loss": 0.9595, + "step": 1882 + }, + { + "epoch": 0.04, + "grad_norm": 1.7025169600038021, + "learning_rate": 1.9989205009746227e-05, + "loss": 0.9575, + "step": 1883 + }, + { + "epoch": 0.04, + "grad_norm": 0.8241630136235767, + "learning_rate": 1.998916953551787e-05, + "loss": 0.7421, + "step": 1884 + }, + { + "epoch": 0.04, + "grad_norm": 1.7242731519977696, + "learning_rate": 1.9989134003129405e-05, + "loss": 0.8312, + "step": 1885 + }, + { + "epoch": 0.04, + "grad_norm": 1.5621970761665378, + "learning_rate": 1.998909841258104e-05, + "loss": 1.0054, + "step": 1886 + }, + { + "epoch": 0.04, + "grad_norm": 1.945339436923858, + "learning_rate": 1.9989062763872978e-05, + "loss": 0.9665, + "step": 1887 + }, + { + "epoch": 0.04, + "grad_norm": 7.269387039014987, + "learning_rate": 1.9989027057005438e-05, + "loss": 0.7436, + "step": 1888 + }, + { + "epoch": 0.04, + "grad_norm": 0.8003209345861436, + "learning_rate": 1.9988991291978613e-05, + "loss": 0.7478, + "step": 1889 + }, + { + "epoch": 0.04, + "grad_norm": 1.8984402425168778, + "learning_rate": 1.998895546879272e-05, + "loss": 0.8878, + "step": 1890 + }, + { + "epoch": 0.04, + "grad_norm": 1.6821021088955739, + "learning_rate": 1.9988919587447967e-05, + "loss": 0.8538, + "step": 1891 + }, + { + "epoch": 0.04, + "grad_norm": 1.6861426254368805, + "learning_rate": 1.9988883647944563e-05, + "loss": 0.9961, + "step": 1892 + }, + { + "epoch": 0.04, + "grad_norm": 1.6471591909777636, + "learning_rate": 1.998884765028271e-05, + "loss": 0.9159, + "step": 1893 + }, + { + "epoch": 0.04, + "grad_norm": 1.7782287378014427, + "learning_rate": 1.9988811594462628e-05, + "loss": 1.0014, + "step": 1894 + }, + { + "epoch": 0.04, + "grad_norm": 1.74197807802034, + "learning_rate": 1.9988775480484524e-05, + "loss": 0.8871, + "step": 1895 + }, + { + "epoch": 0.04, + "grad_norm": 1.923160556818599, + "learning_rate": 1.9988739308348603e-05, + "loss": 1.0206, + "step": 1896 + }, + { + "epoch": 0.04, + "grad_norm": 2.0767965288532446, + "learning_rate": 1.998870307805508e-05, + "loss": 0.9214, + "step": 1897 + }, + { + "epoch": 0.04, + "grad_norm": 1.6567193588718747, + "learning_rate": 1.998866678960417e-05, + "loss": 1.0185, + "step": 1898 + }, + { + "epoch": 0.04, + "grad_norm": 1.7792409441744743, + "learning_rate": 1.9988630442996072e-05, + "loss": 0.903, + "step": 1899 + }, + { + "epoch": 0.04, + "grad_norm": 2.029656777664901, + "learning_rate": 1.9988594038231012e-05, + "loss": 1.0211, + "step": 1900 + }, + { + "epoch": 0.04, + "grad_norm": 2.256503401952045, + "learning_rate": 1.9988557575309192e-05, + "loss": 0.8699, + "step": 1901 + }, + { + "epoch": 0.04, + "grad_norm": 1.7043733507299654, + "learning_rate": 1.9988521054230828e-05, + "loss": 0.9277, + "step": 1902 + }, + { + "epoch": 0.04, + "grad_norm": 0.8490598463290335, + "learning_rate": 1.9988484474996134e-05, + "loss": 0.7693, + "step": 1903 + }, + { + "epoch": 0.04, + "grad_norm": 1.7435098124029085, + "learning_rate": 1.9988447837605317e-05, + "loss": 1.079, + "step": 1904 + }, + { + "epoch": 0.04, + "grad_norm": 1.612934169671713, + "learning_rate": 1.9988411142058596e-05, + "loss": 0.8201, + "step": 1905 + }, + { + "epoch": 0.04, + "grad_norm": 1.8524876403534034, + "learning_rate": 1.9988374388356186e-05, + "loss": 0.8806, + "step": 1906 + }, + { + "epoch": 0.04, + "grad_norm": 2.6403605594154467, + "learning_rate": 1.9988337576498296e-05, + "loss": 0.8649, + "step": 1907 + }, + { + "epoch": 0.04, + "grad_norm": 1.5708108701513859, + "learning_rate": 1.998830070648514e-05, + "loss": 0.8593, + "step": 1908 + }, + { + "epoch": 0.04, + "grad_norm": 1.5995676067363833, + "learning_rate": 1.9988263778316937e-05, + "loss": 0.9752, + "step": 1909 + }, + { + "epoch": 0.04, + "grad_norm": 2.2352445537041365, + "learning_rate": 1.99882267919939e-05, + "loss": 0.7852, + "step": 1910 + }, + { + "epoch": 0.05, + "grad_norm": 1.7697836398754554, + "learning_rate": 1.9988189747516245e-05, + "loss": 0.9693, + "step": 1911 + }, + { + "epoch": 0.05, + "grad_norm": 1.6028492090843869, + "learning_rate": 1.9988152644884186e-05, + "loss": 1.0682, + "step": 1912 + }, + { + "epoch": 0.05, + "grad_norm": 1.835553788846079, + "learning_rate": 1.998811548409794e-05, + "loss": 0.9228, + "step": 1913 + }, + { + "epoch": 0.05, + "grad_norm": 2.181450685970848, + "learning_rate": 1.9988078265157727e-05, + "loss": 0.8483, + "step": 1914 + }, + { + "epoch": 0.05, + "grad_norm": 1.7264648285877164, + "learning_rate": 1.9988040988063755e-05, + "loss": 0.9362, + "step": 1915 + }, + { + "epoch": 0.05, + "grad_norm": 1.7200155496165415, + "learning_rate": 1.998800365281625e-05, + "loss": 0.9505, + "step": 1916 + }, + { + "epoch": 0.05, + "grad_norm": 1.909902376352857, + "learning_rate": 1.9987966259415423e-05, + "loss": 0.9659, + "step": 1917 + }, + { + "epoch": 0.05, + "grad_norm": 0.8053370598570532, + "learning_rate": 1.9987928807861494e-05, + "loss": 0.7394, + "step": 1918 + }, + { + "epoch": 0.05, + "grad_norm": 1.864503941360688, + "learning_rate": 1.9987891298154684e-05, + "loss": 0.9378, + "step": 1919 + }, + { + "epoch": 0.05, + "grad_norm": 1.706248273597259, + "learning_rate": 1.998785373029521e-05, + "loss": 0.9496, + "step": 1920 + }, + { + "epoch": 0.05, + "grad_norm": 2.2967422566709508, + "learning_rate": 1.9987816104283284e-05, + "loss": 0.8838, + "step": 1921 + }, + { + "epoch": 0.05, + "grad_norm": 1.7904792296881444, + "learning_rate": 1.998777842011913e-05, + "loss": 0.8856, + "step": 1922 + }, + { + "epoch": 0.05, + "grad_norm": 1.6218463121979974, + "learning_rate": 1.9987740677802976e-05, + "loss": 0.9846, + "step": 1923 + }, + { + "epoch": 0.05, + "grad_norm": 2.2550286696930626, + "learning_rate": 1.998770287733503e-05, + "loss": 1.0748, + "step": 1924 + }, + { + "epoch": 0.05, + "grad_norm": 1.9652575540350943, + "learning_rate": 1.9987665018715514e-05, + "loss": 0.8778, + "step": 1925 + }, + { + "epoch": 0.05, + "grad_norm": 1.8298317355567748, + "learning_rate": 1.9987627101944652e-05, + "loss": 0.8805, + "step": 1926 + }, + { + "epoch": 0.05, + "grad_norm": 2.5251379065933595, + "learning_rate": 1.998758912702266e-05, + "loss": 0.8356, + "step": 1927 + }, + { + "epoch": 0.05, + "grad_norm": 1.8643693269573027, + "learning_rate": 1.9987551093949765e-05, + "loss": 0.9598, + "step": 1928 + }, + { + "epoch": 0.05, + "grad_norm": 1.7977750527903023, + "learning_rate": 1.9987513002726186e-05, + "loss": 0.8322, + "step": 1929 + }, + { + "epoch": 0.05, + "grad_norm": 1.727404170136656, + "learning_rate": 1.9987474853352142e-05, + "loss": 0.9057, + "step": 1930 + }, + { + "epoch": 0.05, + "grad_norm": 2.000272583587569, + "learning_rate": 1.998743664582786e-05, + "loss": 0.9758, + "step": 1931 + }, + { + "epoch": 0.05, + "grad_norm": 1.6811337688630605, + "learning_rate": 1.9987398380153556e-05, + "loss": 0.852, + "step": 1932 + }, + { + "epoch": 0.05, + "grad_norm": 1.9434607863773299, + "learning_rate": 1.9987360056329458e-05, + "loss": 1.042, + "step": 1933 + }, + { + "epoch": 0.05, + "grad_norm": 3.86374524463483, + "learning_rate": 1.9987321674355792e-05, + "loss": 0.8919, + "step": 1934 + }, + { + "epoch": 0.05, + "grad_norm": 1.6524153693115256, + "learning_rate": 1.9987283234232777e-05, + "loss": 0.9287, + "step": 1935 + }, + { + "epoch": 0.05, + "grad_norm": 1.7606899376832277, + "learning_rate": 1.998724473596063e-05, + "loss": 0.9441, + "step": 1936 + }, + { + "epoch": 0.05, + "grad_norm": 3.5205690109833685, + "learning_rate": 1.9987206179539587e-05, + "loss": 0.9842, + "step": 1937 + }, + { + "epoch": 0.05, + "grad_norm": 2.181953038132647, + "learning_rate": 1.9987167564969868e-05, + "loss": 0.9766, + "step": 1938 + }, + { + "epoch": 0.05, + "grad_norm": 5.874130244346317, + "learning_rate": 1.9987128892251696e-05, + "loss": 0.7878, + "step": 1939 + }, + { + "epoch": 0.05, + "grad_norm": 1.755881325731854, + "learning_rate": 1.99870901613853e-05, + "loss": 0.9878, + "step": 1940 + }, + { + "epoch": 0.05, + "grad_norm": 1.8793748717420788, + "learning_rate": 1.99870513723709e-05, + "loss": 0.9003, + "step": 1941 + }, + { + "epoch": 0.05, + "grad_norm": 0.7553035528885379, + "learning_rate": 1.9987012525208728e-05, + "loss": 0.7242, + "step": 1942 + }, + { + "epoch": 0.05, + "grad_norm": 1.884690318802054, + "learning_rate": 1.9986973619899006e-05, + "loss": 1.0321, + "step": 1943 + }, + { + "epoch": 0.05, + "grad_norm": 1.6124617023884833, + "learning_rate": 1.9986934656441962e-05, + "loss": 0.9336, + "step": 1944 + }, + { + "epoch": 0.05, + "grad_norm": 1.6656774510302077, + "learning_rate": 1.998689563483782e-05, + "loss": 0.9572, + "step": 1945 + }, + { + "epoch": 0.05, + "grad_norm": 1.6383414106133687, + "learning_rate": 1.9986856555086812e-05, + "loss": 0.978, + "step": 1946 + }, + { + "epoch": 0.05, + "grad_norm": 1.5667912598371163, + "learning_rate": 1.9986817417189168e-05, + "loss": 0.9213, + "step": 1947 + }, + { + "epoch": 0.05, + "grad_norm": 1.6603229387832872, + "learning_rate": 1.9986778221145103e-05, + "loss": 0.9676, + "step": 1948 + }, + { + "epoch": 0.05, + "grad_norm": 1.6629259186827692, + "learning_rate": 1.9986738966954856e-05, + "loss": 0.8805, + "step": 1949 + }, + { + "epoch": 0.05, + "grad_norm": 1.62393808210454, + "learning_rate": 1.9986699654618656e-05, + "loss": 0.8496, + "step": 1950 + }, + { + "epoch": 0.05, + "grad_norm": 1.6782793003263032, + "learning_rate": 1.9986660284136728e-05, + "loss": 0.8526, + "step": 1951 + }, + { + "epoch": 0.05, + "grad_norm": 1.578628777054172, + "learning_rate": 1.99866208555093e-05, + "loss": 0.9261, + "step": 1952 + }, + { + "epoch": 0.05, + "grad_norm": 1.816696567577169, + "learning_rate": 1.9986581368736607e-05, + "loss": 0.8089, + "step": 1953 + }, + { + "epoch": 0.05, + "grad_norm": 0.7880997625726884, + "learning_rate": 1.9986541823818872e-05, + "loss": 0.7239, + "step": 1954 + }, + { + "epoch": 0.05, + "grad_norm": 2.09991162575295, + "learning_rate": 1.9986502220756333e-05, + "loss": 0.9336, + "step": 1955 + }, + { + "epoch": 0.05, + "grad_norm": 1.5573723173603227, + "learning_rate": 1.998646255954921e-05, + "loss": 0.8208, + "step": 1956 + }, + { + "epoch": 0.05, + "grad_norm": 1.926200928315544, + "learning_rate": 1.9986422840197746e-05, + "loss": 0.8873, + "step": 1957 + }, + { + "epoch": 0.05, + "grad_norm": 2.340693518796728, + "learning_rate": 1.9986383062702165e-05, + "loss": 0.9799, + "step": 1958 + }, + { + "epoch": 0.05, + "grad_norm": 1.6880497005896822, + "learning_rate": 1.99863432270627e-05, + "loss": 0.9694, + "step": 1959 + }, + { + "epoch": 0.05, + "grad_norm": 2.07182639673836, + "learning_rate": 1.998630333327958e-05, + "loss": 0.865, + "step": 1960 + }, + { + "epoch": 0.05, + "grad_norm": 1.6437602735508166, + "learning_rate": 1.9986263381353045e-05, + "loss": 0.8265, + "step": 1961 + }, + { + "epoch": 0.05, + "grad_norm": 0.7699949528049819, + "learning_rate": 1.998622337128332e-05, + "loss": 0.715, + "step": 1962 + }, + { + "epoch": 0.05, + "grad_norm": 1.8711793957769223, + "learning_rate": 1.9986183303070644e-05, + "loss": 1.0017, + "step": 1963 + }, + { + "epoch": 0.05, + "grad_norm": 2.237438405600957, + "learning_rate": 1.9986143176715246e-05, + "loss": 0.961, + "step": 1964 + }, + { + "epoch": 0.05, + "grad_norm": 0.7913252395103768, + "learning_rate": 1.9986102992217356e-05, + "loss": 0.6383, + "step": 1965 + }, + { + "epoch": 0.05, + "grad_norm": 1.850662630308141, + "learning_rate": 1.998606274957722e-05, + "loss": 1.0042, + "step": 1966 + }, + { + "epoch": 0.05, + "grad_norm": 2.303280523836632, + "learning_rate": 1.9986022448795062e-05, + "loss": 1.0942, + "step": 1967 + }, + { + "epoch": 0.05, + "grad_norm": 1.9850250556223588, + "learning_rate": 1.998598208987112e-05, + "loss": 0.8269, + "step": 1968 + }, + { + "epoch": 0.05, + "grad_norm": 1.9921174955398417, + "learning_rate": 1.998594167280563e-05, + "loss": 0.8166, + "step": 1969 + }, + { + "epoch": 0.05, + "grad_norm": 1.6305477643765094, + "learning_rate": 1.998590119759882e-05, + "loss": 0.9433, + "step": 1970 + }, + { + "epoch": 0.05, + "grad_norm": 1.6797283308339406, + "learning_rate": 1.998586066425094e-05, + "loss": 0.9093, + "step": 1971 + }, + { + "epoch": 0.05, + "grad_norm": 1.759926090041935, + "learning_rate": 1.9985820072762213e-05, + "loss": 0.9027, + "step": 1972 + }, + { + "epoch": 0.05, + "grad_norm": 1.620747886632559, + "learning_rate": 1.9985779423132883e-05, + "loss": 1.0262, + "step": 1973 + }, + { + "epoch": 0.05, + "grad_norm": 2.015650316509584, + "learning_rate": 1.9985738715363185e-05, + "loss": 0.9118, + "step": 1974 + }, + { + "epoch": 0.05, + "grad_norm": 0.809837419185958, + "learning_rate": 1.9985697949453348e-05, + "loss": 0.7288, + "step": 1975 + }, + { + "epoch": 0.05, + "grad_norm": 2.3215537259621586, + "learning_rate": 1.998565712540362e-05, + "loss": 0.7934, + "step": 1976 + }, + { + "epoch": 0.05, + "grad_norm": 1.823425126191455, + "learning_rate": 1.9985616243214236e-05, + "loss": 0.9215, + "step": 1977 + }, + { + "epoch": 0.05, + "grad_norm": 1.7098131319150345, + "learning_rate": 1.9985575302885435e-05, + "loss": 0.8087, + "step": 1978 + }, + { + "epoch": 0.05, + "grad_norm": 0.7821465769208651, + "learning_rate": 1.9985534304417448e-05, + "loss": 0.748, + "step": 1979 + }, + { + "epoch": 0.05, + "grad_norm": 1.8869699156003956, + "learning_rate": 1.998549324781052e-05, + "loss": 0.9344, + "step": 1980 + }, + { + "epoch": 0.05, + "grad_norm": 1.9740845020855387, + "learning_rate": 1.998545213306489e-05, + "loss": 0.8757, + "step": 1981 + }, + { + "epoch": 0.05, + "grad_norm": 3.9487697754553728, + "learning_rate": 1.9985410960180795e-05, + "loss": 0.8037, + "step": 1982 + }, + { + "epoch": 0.05, + "grad_norm": 1.7633616591396675, + "learning_rate": 1.9985369729158476e-05, + "loss": 0.9093, + "step": 1983 + }, + { + "epoch": 0.05, + "grad_norm": 1.8064765458732723, + "learning_rate": 1.9985328439998176e-05, + "loss": 0.9092, + "step": 1984 + }, + { + "epoch": 0.05, + "grad_norm": 1.6406338506449942, + "learning_rate": 1.998528709270013e-05, + "loss": 0.9724, + "step": 1985 + }, + { + "epoch": 0.05, + "grad_norm": 1.8082559398471152, + "learning_rate": 1.9985245687264583e-05, + "loss": 0.851, + "step": 1986 + }, + { + "epoch": 0.05, + "grad_norm": 0.7604536985015795, + "learning_rate": 1.9985204223691773e-05, + "loss": 0.728, + "step": 1987 + }, + { + "epoch": 0.05, + "grad_norm": 0.7718278432678227, + "learning_rate": 1.9985162701981942e-05, + "loss": 0.7173, + "step": 1988 + }, + { + "epoch": 0.05, + "grad_norm": 1.7073247125387665, + "learning_rate": 1.9985121122135334e-05, + "loss": 0.9492, + "step": 1989 + }, + { + "epoch": 0.05, + "grad_norm": 1.6933892639218937, + "learning_rate": 1.998507948415219e-05, + "loss": 1.1438, + "step": 1990 + }, + { + "epoch": 0.05, + "grad_norm": 1.907500382726766, + "learning_rate": 1.9985037788032753e-05, + "loss": 0.8174, + "step": 1991 + }, + { + "epoch": 0.05, + "grad_norm": 1.9598457025196696, + "learning_rate": 1.9984996033777263e-05, + "loss": 1.0552, + "step": 1992 + }, + { + "epoch": 0.05, + "grad_norm": 1.741071102096099, + "learning_rate": 1.9984954221385962e-05, + "loss": 1.0589, + "step": 1993 + }, + { + "epoch": 0.05, + "grad_norm": 1.6010585704092857, + "learning_rate": 1.99849123508591e-05, + "loss": 0.9665, + "step": 1994 + }, + { + "epoch": 0.05, + "grad_norm": 1.8237553941409843, + "learning_rate": 1.998487042219692e-05, + "loss": 0.8309, + "step": 1995 + }, + { + "epoch": 0.05, + "grad_norm": 1.726727153452555, + "learning_rate": 1.9984828435399657e-05, + "loss": 0.9263, + "step": 1996 + }, + { + "epoch": 0.05, + "grad_norm": 2.2324841200241266, + "learning_rate": 1.9984786390467566e-05, + "loss": 0.8104, + "step": 1997 + }, + { + "epoch": 0.05, + "grad_norm": 1.896090482930794, + "learning_rate": 1.9984744287400883e-05, + "loss": 1.0385, + "step": 1998 + }, + { + "epoch": 0.05, + "grad_norm": 1.732262179824477, + "learning_rate": 1.9984702126199863e-05, + "loss": 0.9131, + "step": 1999 + }, + { + "epoch": 0.05, + "grad_norm": 1.6605686967073674, + "learning_rate": 1.9984659906864742e-05, + "loss": 1.0415, + "step": 2000 + }, + { + "epoch": 0.05, + "grad_norm": 1.9665968876534354, + "learning_rate": 1.998461762939577e-05, + "loss": 0.9321, + "step": 2001 + }, + { + "epoch": 0.05, + "grad_norm": 1.835475730415937, + "learning_rate": 1.9984575293793198e-05, + "loss": 0.9154, + "step": 2002 + }, + { + "epoch": 0.05, + "grad_norm": 2.394515708378759, + "learning_rate": 1.9984532900057263e-05, + "loss": 0.9508, + "step": 2003 + }, + { + "epoch": 0.05, + "grad_norm": 3.2939883162017973, + "learning_rate": 1.998449044818822e-05, + "loss": 0.9362, + "step": 2004 + }, + { + "epoch": 0.05, + "grad_norm": 2.1034246507380274, + "learning_rate": 1.998444793818631e-05, + "loss": 0.9182, + "step": 2005 + }, + { + "epoch": 0.05, + "grad_norm": 0.8358200940186823, + "learning_rate": 1.9984405370051783e-05, + "loss": 0.7531, + "step": 2006 + }, + { + "epoch": 0.05, + "grad_norm": 2.0637601627008055, + "learning_rate": 1.9984362743784887e-05, + "loss": 0.8275, + "step": 2007 + }, + { + "epoch": 0.05, + "grad_norm": 2.0910651148791137, + "learning_rate": 1.998432005938587e-05, + "loss": 0.9413, + "step": 2008 + }, + { + "epoch": 0.05, + "grad_norm": 1.7957866444882575, + "learning_rate": 1.998427731685498e-05, + "loss": 0.933, + "step": 2009 + }, + { + "epoch": 0.05, + "grad_norm": 1.8537501838768786, + "learning_rate": 1.998423451619247e-05, + "loss": 0.9231, + "step": 2010 + }, + { + "epoch": 0.05, + "grad_norm": 2.048246396667472, + "learning_rate": 1.998419165739858e-05, + "loss": 0.8453, + "step": 2011 + }, + { + "epoch": 0.05, + "grad_norm": 1.703861454779081, + "learning_rate": 1.998414874047357e-05, + "loss": 0.9614, + "step": 2012 + }, + { + "epoch": 0.05, + "grad_norm": 1.4992182955812943, + "learning_rate": 1.998410576541768e-05, + "loss": 0.91, + "step": 2013 + }, + { + "epoch": 0.05, + "grad_norm": 1.5646896857632946, + "learning_rate": 1.9984062732231174e-05, + "loss": 1.0068, + "step": 2014 + }, + { + "epoch": 0.05, + "grad_norm": 1.7168798332187063, + "learning_rate": 1.9984019640914285e-05, + "loss": 0.8245, + "step": 2015 + }, + { + "epoch": 0.05, + "grad_norm": 2.021692564584993, + "learning_rate": 1.9983976491467278e-05, + "loss": 0.9114, + "step": 2016 + }, + { + "epoch": 0.05, + "grad_norm": 1.6880711509483342, + "learning_rate": 1.9983933283890398e-05, + "loss": 0.9256, + "step": 2017 + }, + { + "epoch": 0.05, + "grad_norm": 2.6899056945429853, + "learning_rate": 1.9983890018183896e-05, + "loss": 0.87, + "step": 2018 + }, + { + "epoch": 0.05, + "grad_norm": 1.6201620851454217, + "learning_rate": 1.9983846694348027e-05, + "loss": 1.0017, + "step": 2019 + }, + { + "epoch": 0.05, + "grad_norm": 1.6414065220692227, + "learning_rate": 1.9983803312383042e-05, + "loss": 1.0418, + "step": 2020 + }, + { + "epoch": 0.05, + "grad_norm": 0.7953680787217744, + "learning_rate": 1.998375987228919e-05, + "loss": 0.7291, + "step": 2021 + }, + { + "epoch": 0.05, + "grad_norm": 1.5573743028421894, + "learning_rate": 1.998371637406673e-05, + "loss": 0.9117, + "step": 2022 + }, + { + "epoch": 0.05, + "grad_norm": 2.203145914895803, + "learning_rate": 1.9983672817715914e-05, + "loss": 0.9314, + "step": 2023 + }, + { + "epoch": 0.05, + "grad_norm": 1.622925322501368, + "learning_rate": 1.9983629203236993e-05, + "loss": 1.0255, + "step": 2024 + }, + { + "epoch": 0.05, + "grad_norm": 1.780068163191732, + "learning_rate": 1.998358553063022e-05, + "loss": 0.8553, + "step": 2025 + }, + { + "epoch": 0.05, + "grad_norm": 1.8649085274525883, + "learning_rate": 1.998354179989585e-05, + "loss": 0.9113, + "step": 2026 + }, + { + "epoch": 0.05, + "grad_norm": 1.754237617966611, + "learning_rate": 1.9983498011034143e-05, + "loss": 0.9525, + "step": 2027 + }, + { + "epoch": 0.05, + "grad_norm": 0.7893128460469959, + "learning_rate": 1.9983454164045352e-05, + "loss": 0.7424, + "step": 2028 + }, + { + "epoch": 0.05, + "grad_norm": 1.9662876244370122, + "learning_rate": 1.998341025892972e-05, + "loss": 0.8286, + "step": 2029 + }, + { + "epoch": 0.05, + "grad_norm": 1.6339094944120278, + "learning_rate": 1.9983366295687522e-05, + "loss": 0.8927, + "step": 2030 + }, + { + "epoch": 0.05, + "grad_norm": 1.6118152186708024, + "learning_rate": 1.9983322274319005e-05, + "loss": 0.9186, + "step": 2031 + }, + { + "epoch": 0.05, + "grad_norm": 1.9448423058696902, + "learning_rate": 1.998327819482442e-05, + "loss": 0.9517, + "step": 2032 + }, + { + "epoch": 0.05, + "grad_norm": 1.682911555785016, + "learning_rate": 1.998323405720403e-05, + "loss": 0.8894, + "step": 2033 + }, + { + "epoch": 0.05, + "grad_norm": 1.792880017362886, + "learning_rate": 1.9983189861458093e-05, + "loss": 1.0339, + "step": 2034 + }, + { + "epoch": 0.05, + "grad_norm": 0.8094227604457139, + "learning_rate": 1.9983145607586862e-05, + "loss": 0.7675, + "step": 2035 + }, + { + "epoch": 0.05, + "grad_norm": 1.6312761461286505, + "learning_rate": 1.9983101295590597e-05, + "loss": 0.9559, + "step": 2036 + }, + { + "epoch": 0.05, + "grad_norm": 1.8420861139458418, + "learning_rate": 1.9983056925469558e-05, + "loss": 0.9722, + "step": 2037 + }, + { + "epoch": 0.05, + "grad_norm": 1.9967561666213411, + "learning_rate": 1.9983012497223994e-05, + "loss": 1.0604, + "step": 2038 + }, + { + "epoch": 0.05, + "grad_norm": 2.1431930704165905, + "learning_rate": 1.998296801085418e-05, + "loss": 0.9188, + "step": 2039 + }, + { + "epoch": 0.05, + "grad_norm": 1.735422991125576, + "learning_rate": 1.9982923466360357e-05, + "loss": 0.9824, + "step": 2040 + }, + { + "epoch": 0.05, + "grad_norm": 2.621811433429304, + "learning_rate": 1.9982878863742798e-05, + "loss": 0.8495, + "step": 2041 + }, + { + "epoch": 0.05, + "grad_norm": 1.6943687009632478, + "learning_rate": 1.9982834203001757e-05, + "loss": 0.8448, + "step": 2042 + }, + { + "epoch": 0.05, + "grad_norm": 1.8320126829637504, + "learning_rate": 1.9982789484137495e-05, + "loss": 0.9534, + "step": 2043 + }, + { + "epoch": 0.05, + "grad_norm": 2.0456828527566495, + "learning_rate": 1.9982744707150272e-05, + "loss": 0.8581, + "step": 2044 + }, + { + "epoch": 0.05, + "grad_norm": 1.7578806938910918, + "learning_rate": 1.9982699872040346e-05, + "loss": 0.9599, + "step": 2045 + }, + { + "epoch": 0.05, + "grad_norm": 0.8571639323678432, + "learning_rate": 1.9982654978807986e-05, + "loss": 0.738, + "step": 2046 + }, + { + "epoch": 0.05, + "grad_norm": 1.7353756105769786, + "learning_rate": 1.9982610027453447e-05, + "loss": 0.8338, + "step": 2047 + }, + { + "epoch": 0.05, + "grad_norm": 1.7049831313941581, + "learning_rate": 1.9982565017976992e-05, + "loss": 0.9151, + "step": 2048 + }, + { + "epoch": 0.05, + "grad_norm": 1.8146933739258755, + "learning_rate": 1.998251995037888e-05, + "loss": 1.0013, + "step": 2049 + }, + { + "epoch": 0.05, + "grad_norm": 1.7544882538571, + "learning_rate": 1.9982474824659378e-05, + "loss": 0.837, + "step": 2050 + }, + { + "epoch": 0.05, + "grad_norm": 2.3045289615098876, + "learning_rate": 1.9982429640818747e-05, + "loss": 0.9035, + "step": 2051 + }, + { + "epoch": 0.05, + "grad_norm": 0.8267857479020189, + "learning_rate": 1.998238439885725e-05, + "loss": 0.7798, + "step": 2052 + }, + { + "epoch": 0.05, + "grad_norm": 1.9593956015693412, + "learning_rate": 1.998233909877515e-05, + "loss": 0.9712, + "step": 2053 + }, + { + "epoch": 0.05, + "grad_norm": 1.580016252343815, + "learning_rate": 1.9982293740572714e-05, + "loss": 0.8609, + "step": 2054 + }, + { + "epoch": 0.05, + "grad_norm": 1.856168223611931, + "learning_rate": 1.99822483242502e-05, + "loss": 0.9829, + "step": 2055 + }, + { + "epoch": 0.05, + "grad_norm": 1.7910047270667924, + "learning_rate": 1.998220284980788e-05, + "loss": 1.0188, + "step": 2056 + }, + { + "epoch": 0.05, + "grad_norm": 1.650925881463684, + "learning_rate": 1.9982157317246015e-05, + "loss": 0.8833, + "step": 2057 + }, + { + "epoch": 0.05, + "grad_norm": 1.5638771551737491, + "learning_rate": 1.9982111726564865e-05, + "loss": 0.9633, + "step": 2058 + }, + { + "epoch": 0.05, + "grad_norm": 2.069820321342172, + "learning_rate": 1.9982066077764702e-05, + "loss": 0.9429, + "step": 2059 + }, + { + "epoch": 0.05, + "grad_norm": 1.5591730910475499, + "learning_rate": 1.998202037084579e-05, + "loss": 0.964, + "step": 2060 + }, + { + "epoch": 0.05, + "grad_norm": 2.083676052194489, + "learning_rate": 1.9981974605808398e-05, + "loss": 0.9522, + "step": 2061 + }, + { + "epoch": 0.05, + "grad_norm": 1.7061193296450115, + "learning_rate": 1.9981928782652788e-05, + "loss": 0.9137, + "step": 2062 + }, + { + "epoch": 0.05, + "grad_norm": 1.8186081142587602, + "learning_rate": 1.9981882901379228e-05, + "loss": 0.9301, + "step": 2063 + }, + { + "epoch": 0.05, + "grad_norm": 2.1253778174853926, + "learning_rate": 1.9981836961987987e-05, + "loss": 0.9259, + "step": 2064 + }, + { + "epoch": 0.05, + "grad_norm": 0.768908104916534, + "learning_rate": 1.998179096447933e-05, + "loss": 0.7547, + "step": 2065 + }, + { + "epoch": 0.05, + "grad_norm": 1.8147586123700017, + "learning_rate": 1.9981744908853524e-05, + "loss": 0.99, + "step": 2066 + }, + { + "epoch": 0.05, + "grad_norm": 1.7027721353229768, + "learning_rate": 1.998169879511084e-05, + "loss": 0.8194, + "step": 2067 + }, + { + "epoch": 0.05, + "grad_norm": 1.71142456711741, + "learning_rate": 1.9981652623251546e-05, + "loss": 1.0007, + "step": 2068 + }, + { + "epoch": 0.05, + "grad_norm": 1.6632836121340346, + "learning_rate": 1.998160639327591e-05, + "loss": 0.9, + "step": 2069 + }, + { + "epoch": 0.05, + "grad_norm": 1.8677523252596793, + "learning_rate": 1.9981560105184205e-05, + "loss": 0.9507, + "step": 2070 + }, + { + "epoch": 0.05, + "grad_norm": 1.9732922154571524, + "learning_rate": 1.998151375897669e-05, + "loss": 0.9835, + "step": 2071 + }, + { + "epoch": 0.05, + "grad_norm": 1.7528586040830323, + "learning_rate": 1.9981467354653645e-05, + "loss": 0.7958, + "step": 2072 + }, + { + "epoch": 0.05, + "grad_norm": 1.6026268359992046, + "learning_rate": 1.998142089221534e-05, + "loss": 0.9827, + "step": 2073 + }, + { + "epoch": 0.05, + "grad_norm": 1.9466604770464788, + "learning_rate": 1.9981374371662035e-05, + "loss": 0.8503, + "step": 2074 + }, + { + "epoch": 0.05, + "grad_norm": 1.794636028639653, + "learning_rate": 1.9981327792994016e-05, + "loss": 0.9756, + "step": 2075 + }, + { + "epoch": 0.05, + "grad_norm": 1.5760589017584077, + "learning_rate": 1.9981281156211543e-05, + "loss": 0.8177, + "step": 2076 + }, + { + "epoch": 0.05, + "grad_norm": 1.6559358281396, + "learning_rate": 1.9981234461314893e-05, + "loss": 0.8957, + "step": 2077 + }, + { + "epoch": 0.05, + "grad_norm": 2.436348759719535, + "learning_rate": 1.9981187708304335e-05, + "loss": 0.9151, + "step": 2078 + }, + { + "epoch": 0.05, + "grad_norm": 1.6067420744426577, + "learning_rate": 1.9981140897180144e-05, + "loss": 0.8334, + "step": 2079 + }, + { + "epoch": 0.05, + "grad_norm": 1.630825425554162, + "learning_rate": 1.9981094027942585e-05, + "loss": 1.0245, + "step": 2080 + }, + { + "epoch": 0.05, + "grad_norm": 1.7257095853848656, + "learning_rate": 1.998104710059194e-05, + "loss": 1.0044, + "step": 2081 + }, + { + "epoch": 0.05, + "grad_norm": 1.9343516949977855, + "learning_rate": 1.998100011512848e-05, + "loss": 0.966, + "step": 2082 + }, + { + "epoch": 0.05, + "grad_norm": 1.8058409642884543, + "learning_rate": 1.9980953071552477e-05, + "loss": 0.8332, + "step": 2083 + }, + { + "epoch": 0.05, + "grad_norm": 2.222278373075257, + "learning_rate": 1.9980905969864204e-05, + "loss": 0.9051, + "step": 2084 + }, + { + "epoch": 0.05, + "grad_norm": 1.9287344964013038, + "learning_rate": 1.998085881006394e-05, + "loss": 0.9905, + "step": 2085 + }, + { + "epoch": 0.05, + "grad_norm": 2.009123298526866, + "learning_rate": 1.998081159215195e-05, + "loss": 0.7847, + "step": 2086 + }, + { + "epoch": 0.05, + "grad_norm": 1.713678210693012, + "learning_rate": 1.998076431612852e-05, + "loss": 0.9452, + "step": 2087 + }, + { + "epoch": 0.05, + "grad_norm": 2.2306376212855263, + "learning_rate": 1.998071698199392e-05, + "loss": 0.9173, + "step": 2088 + }, + { + "epoch": 0.05, + "grad_norm": 1.7875748962644302, + "learning_rate": 1.9980669589748426e-05, + "loss": 0.9227, + "step": 2089 + }, + { + "epoch": 0.05, + "grad_norm": 1.6996485381388733, + "learning_rate": 1.998062213939231e-05, + "loss": 1.0114, + "step": 2090 + }, + { + "epoch": 0.05, + "grad_norm": 1.8905677237792744, + "learning_rate": 1.9980574630925856e-05, + "loss": 0.9262, + "step": 2091 + }, + { + "epoch": 0.05, + "grad_norm": 1.6767078687396744, + "learning_rate": 1.9980527064349334e-05, + "loss": 0.997, + "step": 2092 + }, + { + "epoch": 0.05, + "grad_norm": 1.6033078177457862, + "learning_rate": 1.9980479439663024e-05, + "loss": 0.9289, + "step": 2093 + }, + { + "epoch": 0.05, + "grad_norm": 1.6632683221222553, + "learning_rate": 1.9980431756867206e-05, + "loss": 1.0246, + "step": 2094 + }, + { + "epoch": 0.05, + "grad_norm": 1.817320012717107, + "learning_rate": 1.9980384015962152e-05, + "loss": 0.9993, + "step": 2095 + }, + { + "epoch": 0.05, + "grad_norm": 2.015497632199055, + "learning_rate": 1.9980336216948144e-05, + "loss": 0.978, + "step": 2096 + }, + { + "epoch": 0.05, + "grad_norm": 1.7173521589357232, + "learning_rate": 1.9980288359825457e-05, + "loss": 1.0156, + "step": 2097 + }, + { + "epoch": 0.05, + "grad_norm": 1.8320938873264947, + "learning_rate": 1.9980240444594372e-05, + "loss": 0.9576, + "step": 2098 + }, + { + "epoch": 0.05, + "grad_norm": 1.7230369489393782, + "learning_rate": 1.998019247125517e-05, + "loss": 1.0096, + "step": 2099 + }, + { + "epoch": 0.05, + "grad_norm": 2.49814627381044, + "learning_rate": 1.998014443980812e-05, + "loss": 0.8571, + "step": 2100 + }, + { + "epoch": 0.05, + "grad_norm": 2.2159273372396373, + "learning_rate": 1.998009635025352e-05, + "loss": 1.0578, + "step": 2101 + }, + { + "epoch": 0.05, + "grad_norm": 2.9298423645891196, + "learning_rate": 1.9980048202591632e-05, + "loss": 0.9834, + "step": 2102 + }, + { + "epoch": 0.05, + "grad_norm": 1.9170159509017182, + "learning_rate": 1.9979999996822744e-05, + "loss": 0.831, + "step": 2103 + }, + { + "epoch": 0.05, + "grad_norm": 4.350848703819201, + "learning_rate": 1.997995173294714e-05, + "loss": 0.973, + "step": 2104 + }, + { + "epoch": 0.05, + "grad_norm": 1.7326798214570005, + "learning_rate": 1.9979903410965095e-05, + "loss": 0.9396, + "step": 2105 + }, + { + "epoch": 0.05, + "grad_norm": 1.671486255473249, + "learning_rate": 1.9979855030876894e-05, + "loss": 0.9661, + "step": 2106 + }, + { + "epoch": 0.05, + "grad_norm": 1.846164987031269, + "learning_rate": 1.997980659268282e-05, + "loss": 0.8367, + "step": 2107 + }, + { + "epoch": 0.05, + "grad_norm": 1.7474230909847226, + "learning_rate": 1.9979758096383147e-05, + "loss": 1.0113, + "step": 2108 + }, + { + "epoch": 0.05, + "grad_norm": 1.8058372377314773, + "learning_rate": 1.9979709541978164e-05, + "loss": 0.7527, + "step": 2109 + }, + { + "epoch": 0.05, + "grad_norm": 1.7957712741536094, + "learning_rate": 1.9979660929468157e-05, + "loss": 0.9788, + "step": 2110 + }, + { + "epoch": 0.05, + "grad_norm": 2.0231021471512243, + "learning_rate": 1.99796122588534e-05, + "loss": 0.9983, + "step": 2111 + }, + { + "epoch": 0.05, + "grad_norm": 3.4238044583040694, + "learning_rate": 1.997956353013418e-05, + "loss": 0.9186, + "step": 2112 + }, + { + "epoch": 0.05, + "grad_norm": 0.7760916468729397, + "learning_rate": 1.9979514743310787e-05, + "loss": 0.6961, + "step": 2113 + }, + { + "epoch": 0.05, + "grad_norm": 1.786428926723108, + "learning_rate": 1.9979465898383498e-05, + "loss": 0.8427, + "step": 2114 + }, + { + "epoch": 0.05, + "grad_norm": 3.3324934338763454, + "learning_rate": 1.9979416995352595e-05, + "loss": 0.957, + "step": 2115 + }, + { + "epoch": 0.05, + "grad_norm": 1.5095508781728917, + "learning_rate": 1.997936803421837e-05, + "loss": 0.9202, + "step": 2116 + }, + { + "epoch": 0.05, + "grad_norm": 2.0554037052555376, + "learning_rate": 1.9979319014981105e-05, + "loss": 0.9208, + "step": 2117 + }, + { + "epoch": 0.05, + "grad_norm": 1.7100559199014491, + "learning_rate": 1.9979269937641087e-05, + "loss": 0.9247, + "step": 2118 + }, + { + "epoch": 0.05, + "grad_norm": 1.8029347275276701, + "learning_rate": 1.9979220802198597e-05, + "loss": 0.8556, + "step": 2119 + }, + { + "epoch": 0.05, + "grad_norm": 1.8570487425762978, + "learning_rate": 1.9979171608653926e-05, + "loss": 1.0358, + "step": 2120 + }, + { + "epoch": 0.05, + "grad_norm": 1.7652770259699404, + "learning_rate": 1.9979122357007355e-05, + "loss": 0.9011, + "step": 2121 + }, + { + "epoch": 0.05, + "grad_norm": 1.690039064183506, + "learning_rate": 1.9979073047259176e-05, + "loss": 0.9348, + "step": 2122 + }, + { + "epoch": 0.05, + "grad_norm": 1.8829733550746715, + "learning_rate": 1.9979023679409676e-05, + "loss": 1.0126, + "step": 2123 + }, + { + "epoch": 0.05, + "grad_norm": 1.6360002307759385, + "learning_rate": 1.997897425345914e-05, + "loss": 0.7858, + "step": 2124 + }, + { + "epoch": 0.05, + "grad_norm": 1.8598349093165725, + "learning_rate": 1.9978924769407858e-05, + "loss": 0.8722, + "step": 2125 + }, + { + "epoch": 0.05, + "grad_norm": 0.7823488504545195, + "learning_rate": 1.9978875227256115e-05, + "loss": 0.7459, + "step": 2126 + }, + { + "epoch": 0.05, + "grad_norm": 0.784379830389471, + "learning_rate": 1.99788256270042e-05, + "loss": 0.7346, + "step": 2127 + }, + { + "epoch": 0.05, + "grad_norm": 1.6595618500456737, + "learning_rate": 1.9978775968652405e-05, + "loss": 0.8715, + "step": 2128 + }, + { + "epoch": 0.05, + "grad_norm": 1.6524455582371995, + "learning_rate": 1.9978726252201018e-05, + "loss": 0.87, + "step": 2129 + }, + { + "epoch": 0.05, + "grad_norm": 1.6216462701443293, + "learning_rate": 1.9978676477650326e-05, + "loss": 1.034, + "step": 2130 + }, + { + "epoch": 0.05, + "grad_norm": 1.7505785203229896, + "learning_rate": 1.9978626645000617e-05, + "loss": 0.9804, + "step": 2131 + }, + { + "epoch": 0.05, + "grad_norm": 1.3968418174692794, + "learning_rate": 1.997857675425219e-05, + "loss": 0.9226, + "step": 2132 + }, + { + "epoch": 0.05, + "grad_norm": 1.7372925871118883, + "learning_rate": 1.997852680540533e-05, + "loss": 1.056, + "step": 2133 + }, + { + "epoch": 0.05, + "grad_norm": 0.7943262570340939, + "learning_rate": 1.9978476798460324e-05, + "loss": 0.7205, + "step": 2134 + }, + { + "epoch": 0.05, + "grad_norm": 2.1181206641856067, + "learning_rate": 1.997842673341747e-05, + "loss": 0.8033, + "step": 2135 + }, + { + "epoch": 0.05, + "grad_norm": 0.7577319322243259, + "learning_rate": 1.9978376610277053e-05, + "loss": 0.6227, + "step": 2136 + }, + { + "epoch": 0.05, + "grad_norm": 2.172085224855081, + "learning_rate": 1.997832642903937e-05, + "loss": 0.9496, + "step": 2137 + }, + { + "epoch": 0.05, + "grad_norm": 1.6822186366683938, + "learning_rate": 1.9978276189704713e-05, + "loss": 0.9993, + "step": 2138 + }, + { + "epoch": 0.05, + "grad_norm": 2.0543751964124137, + "learning_rate": 1.997822589227337e-05, + "loss": 0.9163, + "step": 2139 + }, + { + "epoch": 0.05, + "grad_norm": 0.7744512917523578, + "learning_rate": 1.9978175536745642e-05, + "loss": 0.7525, + "step": 2140 + }, + { + "epoch": 0.05, + "grad_norm": 1.7347559188067345, + "learning_rate": 1.9978125123121812e-05, + "loss": 0.9592, + "step": 2141 + }, + { + "epoch": 0.05, + "grad_norm": 1.9056179471985923, + "learning_rate": 1.997807465140218e-05, + "loss": 0.8311, + "step": 2142 + }, + { + "epoch": 0.05, + "grad_norm": 0.7687605668018982, + "learning_rate": 1.997802412158704e-05, + "loss": 0.7384, + "step": 2143 + }, + { + "epoch": 0.05, + "grad_norm": 2.0089775231406053, + "learning_rate": 1.997797353367668e-05, + "loss": 1.0134, + "step": 2144 + }, + { + "epoch": 0.05, + "grad_norm": 1.642481356914606, + "learning_rate": 1.9977922887671404e-05, + "loss": 0.8431, + "step": 2145 + }, + { + "epoch": 0.05, + "grad_norm": 1.8108088952907724, + "learning_rate": 1.9977872183571502e-05, + "loss": 1.0288, + "step": 2146 + }, + { + "epoch": 0.05, + "grad_norm": 2.038869749921996, + "learning_rate": 1.9977821421377266e-05, + "loss": 0.8685, + "step": 2147 + }, + { + "epoch": 0.05, + "grad_norm": 1.7567748195271913, + "learning_rate": 1.9977770601088994e-05, + "loss": 0.9884, + "step": 2148 + }, + { + "epoch": 0.05, + "grad_norm": 1.7091387231983062, + "learning_rate": 1.9977719722706985e-05, + "loss": 0.7884, + "step": 2149 + }, + { + "epoch": 0.05, + "grad_norm": 1.8274600301148105, + "learning_rate": 1.9977668786231536e-05, + "loss": 0.9751, + "step": 2150 + }, + { + "epoch": 0.05, + "grad_norm": 1.9461700607905614, + "learning_rate": 1.9977617791662935e-05, + "loss": 1.0024, + "step": 2151 + }, + { + "epoch": 0.05, + "grad_norm": 0.8197088263318465, + "learning_rate": 1.9977566739001485e-05, + "loss": 0.7341, + "step": 2152 + }, + { + "epoch": 0.05, + "grad_norm": 1.5747665710615104, + "learning_rate": 1.9977515628247482e-05, + "loss": 0.9341, + "step": 2153 + }, + { + "epoch": 0.05, + "grad_norm": 1.697603192430294, + "learning_rate": 1.997746445940123e-05, + "loss": 1.0474, + "step": 2154 + }, + { + "epoch": 0.05, + "grad_norm": 2.1727892131646604, + "learning_rate": 1.9977413232463017e-05, + "loss": 0.9203, + "step": 2155 + }, + { + "epoch": 0.05, + "grad_norm": 1.655965832373167, + "learning_rate": 1.9977361947433144e-05, + "loss": 0.9125, + "step": 2156 + }, + { + "epoch": 0.05, + "grad_norm": 1.588638198235665, + "learning_rate": 1.9977310604311912e-05, + "loss": 0.8222, + "step": 2157 + }, + { + "epoch": 0.05, + "grad_norm": 1.7567993469076326, + "learning_rate": 1.9977259203099623e-05, + "loss": 0.8649, + "step": 2158 + }, + { + "epoch": 0.05, + "grad_norm": 2.178563618477594, + "learning_rate": 1.9977207743796566e-05, + "loss": 0.953, + "step": 2159 + }, + { + "epoch": 0.05, + "grad_norm": 1.8058437899755437, + "learning_rate": 1.9977156226403052e-05, + "loss": 0.9051, + "step": 2160 + }, + { + "epoch": 0.05, + "grad_norm": 1.6916296419221977, + "learning_rate": 1.997710465091937e-05, + "loss": 0.8287, + "step": 2161 + }, + { + "epoch": 0.05, + "grad_norm": 1.9638576597885322, + "learning_rate": 1.9977053017345832e-05, + "loss": 0.9472, + "step": 2162 + }, + { + "epoch": 0.05, + "grad_norm": 1.8537495919720488, + "learning_rate": 1.997700132568273e-05, + "loss": 0.9014, + "step": 2163 + }, + { + "epoch": 0.05, + "grad_norm": 1.453518580560023, + "learning_rate": 1.997694957593037e-05, + "loss": 0.9198, + "step": 2164 + }, + { + "epoch": 0.05, + "grad_norm": 0.8075908015450031, + "learning_rate": 1.9976897768089047e-05, + "loss": 0.7286, + "step": 2165 + }, + { + "epoch": 0.05, + "grad_norm": 1.9055644316719986, + "learning_rate": 1.9976845902159066e-05, + "loss": 0.9815, + "step": 2166 + }, + { + "epoch": 0.05, + "grad_norm": 0.8607413182942368, + "learning_rate": 1.997679397814073e-05, + "loss": 0.7181, + "step": 2167 + }, + { + "epoch": 0.05, + "grad_norm": 2.5923334916522043, + "learning_rate": 1.9976741996034344e-05, + "loss": 0.9981, + "step": 2168 + }, + { + "epoch": 0.05, + "grad_norm": 3.868911415860727, + "learning_rate": 1.9976689955840206e-05, + "loss": 0.93, + "step": 2169 + }, + { + "epoch": 0.05, + "grad_norm": 0.7805725666092027, + "learning_rate": 1.997663785755862e-05, + "loss": 0.7352, + "step": 2170 + }, + { + "epoch": 0.05, + "grad_norm": 1.9599059472414484, + "learning_rate": 1.997658570118989e-05, + "loss": 1.0254, + "step": 2171 + }, + { + "epoch": 0.05, + "grad_norm": 1.642189870448357, + "learning_rate": 1.997653348673432e-05, + "loss": 0.945, + "step": 2172 + }, + { + "epoch": 0.05, + "grad_norm": 1.597178551992481, + "learning_rate": 1.9976481214192215e-05, + "loss": 0.9366, + "step": 2173 + }, + { + "epoch": 0.05, + "grad_norm": 1.866798835300824, + "learning_rate": 1.9976428883563876e-05, + "loss": 0.8899, + "step": 2174 + }, + { + "epoch": 0.05, + "grad_norm": 1.8547088148656856, + "learning_rate": 1.997637649484961e-05, + "loss": 0.9249, + "step": 2175 + }, + { + "epoch": 0.05, + "grad_norm": 2.0294761012640468, + "learning_rate": 1.997632404804972e-05, + "loss": 1.1093, + "step": 2176 + }, + { + "epoch": 0.05, + "grad_norm": 1.65778003983674, + "learning_rate": 1.9976271543164514e-05, + "loss": 0.9982, + "step": 2177 + }, + { + "epoch": 0.05, + "grad_norm": 1.508956771583488, + "learning_rate": 1.99762189801943e-05, + "loss": 0.9694, + "step": 2178 + }, + { + "epoch": 0.05, + "grad_norm": 1.7806824264146128, + "learning_rate": 1.9976166359139375e-05, + "loss": 0.8975, + "step": 2179 + }, + { + "epoch": 0.05, + "grad_norm": 1.9770923272676355, + "learning_rate": 1.9976113680000055e-05, + "loss": 0.9058, + "step": 2180 + }, + { + "epoch": 0.05, + "grad_norm": 1.6667341979353711, + "learning_rate": 1.997606094277664e-05, + "loss": 0.8924, + "step": 2181 + }, + { + "epoch": 0.05, + "grad_norm": 2.0764012629569657, + "learning_rate": 1.997600814746944e-05, + "loss": 0.8527, + "step": 2182 + }, + { + "epoch": 0.05, + "grad_norm": 2.0207276596610657, + "learning_rate": 1.9975955294078764e-05, + "loss": 0.7861, + "step": 2183 + }, + { + "epoch": 0.05, + "grad_norm": 1.7282239443228349, + "learning_rate": 1.9975902382604916e-05, + "loss": 0.8663, + "step": 2184 + }, + { + "epoch": 0.05, + "grad_norm": 1.74336813622372, + "learning_rate": 1.997584941304821e-05, + "loss": 0.9054, + "step": 2185 + }, + { + "epoch": 0.05, + "grad_norm": 2.312996506500195, + "learning_rate": 1.9975796385408948e-05, + "loss": 0.8266, + "step": 2186 + }, + { + "epoch": 0.05, + "grad_norm": 1.943647849175451, + "learning_rate": 1.997574329968744e-05, + "loss": 0.9338, + "step": 2187 + }, + { + "epoch": 0.05, + "grad_norm": 0.86121372203266, + "learning_rate": 1.9975690155883998e-05, + "loss": 0.6944, + "step": 2188 + }, + { + "epoch": 0.05, + "grad_norm": 2.321749349153583, + "learning_rate": 1.997563695399893e-05, + "loss": 0.8209, + "step": 2189 + }, + { + "epoch": 0.05, + "grad_norm": 1.9393489390299128, + "learning_rate": 1.997558369403254e-05, + "loss": 0.9941, + "step": 2190 + }, + { + "epoch": 0.05, + "grad_norm": 1.5922788807513675, + "learning_rate": 1.997553037598515e-05, + "loss": 0.9171, + "step": 2191 + }, + { + "epoch": 0.05, + "grad_norm": 0.8389553168553994, + "learning_rate": 1.997547699985706e-05, + "loss": 0.7652, + "step": 2192 + }, + { + "epoch": 0.05, + "grad_norm": 0.8329811892721527, + "learning_rate": 1.997542356564859e-05, + "loss": 0.7503, + "step": 2193 + }, + { + "epoch": 0.05, + "grad_norm": 1.8719767034436043, + "learning_rate": 1.997537007336004e-05, + "loss": 0.9798, + "step": 2194 + }, + { + "epoch": 0.05, + "grad_norm": 2.392387790748327, + "learning_rate": 1.997531652299173e-05, + "loss": 0.9856, + "step": 2195 + }, + { + "epoch": 0.05, + "grad_norm": 1.4737682231731224, + "learning_rate": 1.9975262914543968e-05, + "loss": 0.9641, + "step": 2196 + }, + { + "epoch": 0.05, + "grad_norm": 1.6407816071533368, + "learning_rate": 1.997520924801707e-05, + "loss": 0.8222, + "step": 2197 + }, + { + "epoch": 0.05, + "grad_norm": 1.6966536285217586, + "learning_rate": 1.9975155523411343e-05, + "loss": 0.9073, + "step": 2198 + }, + { + "epoch": 0.05, + "grad_norm": 1.6725819195753566, + "learning_rate": 1.9975101740727104e-05, + "loss": 0.8954, + "step": 2199 + }, + { + "epoch": 0.05, + "grad_norm": 1.633534353191678, + "learning_rate": 1.9975047899964663e-05, + "loss": 0.9436, + "step": 2200 + }, + { + "epoch": 0.05, + "grad_norm": 1.4652107734633428, + "learning_rate": 1.9974994001124336e-05, + "loss": 0.974, + "step": 2201 + }, + { + "epoch": 0.05, + "grad_norm": 0.771030721949784, + "learning_rate": 1.9974940044206433e-05, + "loss": 0.7076, + "step": 2202 + }, + { + "epoch": 0.05, + "grad_norm": 1.59783994022666, + "learning_rate": 1.9974886029211275e-05, + "loss": 0.9545, + "step": 2203 + }, + { + "epoch": 0.05, + "grad_norm": 0.7598713579298318, + "learning_rate": 1.9974831956139172e-05, + "loss": 0.7333, + "step": 2204 + }, + { + "epoch": 0.05, + "grad_norm": 1.606280314981976, + "learning_rate": 1.997477782499044e-05, + "loss": 1.0035, + "step": 2205 + }, + { + "epoch": 0.05, + "grad_norm": 1.6953120075234178, + "learning_rate": 1.997472363576539e-05, + "loss": 0.9718, + "step": 2206 + }, + { + "epoch": 0.05, + "grad_norm": 1.6570866972668588, + "learning_rate": 1.997466938846434e-05, + "loss": 0.8774, + "step": 2207 + }, + { + "epoch": 0.05, + "grad_norm": 1.6818241469981994, + "learning_rate": 1.9974615083087614e-05, + "loss": 0.7734, + "step": 2208 + }, + { + "epoch": 0.05, + "grad_norm": 1.8674039918913938, + "learning_rate": 1.9974560719635517e-05, + "loss": 0.8577, + "step": 2209 + }, + { + "epoch": 0.05, + "grad_norm": 1.513105676182982, + "learning_rate": 1.997450629810837e-05, + "loss": 0.9566, + "step": 2210 + }, + { + "epoch": 0.05, + "grad_norm": 1.7384417995503942, + "learning_rate": 1.997445181850649e-05, + "loss": 0.9197, + "step": 2211 + }, + { + "epoch": 0.05, + "grad_norm": 1.872743167509238, + "learning_rate": 1.997439728083019e-05, + "loss": 0.8878, + "step": 2212 + }, + { + "epoch": 0.05, + "grad_norm": 1.764551066948508, + "learning_rate": 1.9974342685079795e-05, + "loss": 0.866, + "step": 2213 + }, + { + "epoch": 0.05, + "grad_norm": 1.9335292258568775, + "learning_rate": 1.997428803125562e-05, + "loss": 0.8529, + "step": 2214 + }, + { + "epoch": 0.05, + "grad_norm": 1.788028325850593, + "learning_rate": 1.9974233319357977e-05, + "loss": 0.8659, + "step": 2215 + }, + { + "epoch": 0.05, + "grad_norm": 1.5945825785533105, + "learning_rate": 1.9974178549387195e-05, + "loss": 1.0392, + "step": 2216 + }, + { + "epoch": 0.05, + "grad_norm": 1.6864165213080395, + "learning_rate": 1.9974123721343587e-05, + "loss": 1.0194, + "step": 2217 + }, + { + "epoch": 0.05, + "grad_norm": 1.8953531989467383, + "learning_rate": 1.9974068835227468e-05, + "loss": 0.8668, + "step": 2218 + }, + { + "epoch": 0.05, + "grad_norm": 1.9517091087802132, + "learning_rate": 1.997401389103917e-05, + "loss": 1.0143, + "step": 2219 + }, + { + "epoch": 0.05, + "grad_norm": 1.6562943720588232, + "learning_rate": 1.9973958888779e-05, + "loss": 1.0511, + "step": 2220 + }, + { + "epoch": 0.05, + "grad_norm": 1.7145815023337663, + "learning_rate": 1.9973903828447286e-05, + "loss": 1.0242, + "step": 2221 + }, + { + "epoch": 0.05, + "grad_norm": 2.0465927645778215, + "learning_rate": 1.9973848710044345e-05, + "loss": 0.8956, + "step": 2222 + }, + { + "epoch": 0.05, + "grad_norm": 2.0854520601493487, + "learning_rate": 1.99737935335705e-05, + "loss": 0.8528, + "step": 2223 + }, + { + "epoch": 0.05, + "grad_norm": 1.6980492182383748, + "learning_rate": 1.997373829902607e-05, + "loss": 0.9832, + "step": 2224 + }, + { + "epoch": 0.05, + "grad_norm": 2.535447294518126, + "learning_rate": 1.997368300641138e-05, + "loss": 0.9179, + "step": 2225 + }, + { + "epoch": 0.05, + "grad_norm": 4.42994176529589, + "learning_rate": 1.997362765572675e-05, + "loss": 1.0077, + "step": 2226 + }, + { + "epoch": 0.05, + "grad_norm": 1.6645884151343342, + "learning_rate": 1.99735722469725e-05, + "loss": 0.7826, + "step": 2227 + }, + { + "epoch": 0.05, + "grad_norm": 1.776801212167214, + "learning_rate": 1.9973516780148957e-05, + "loss": 0.9835, + "step": 2228 + }, + { + "epoch": 0.05, + "grad_norm": 1.7207169402322393, + "learning_rate": 1.9973461255256443e-05, + "loss": 1.0255, + "step": 2229 + }, + { + "epoch": 0.05, + "grad_norm": 1.6952348748810824, + "learning_rate": 1.9973405672295276e-05, + "loss": 0.845, + "step": 2230 + }, + { + "epoch": 0.05, + "grad_norm": 2.236315683159513, + "learning_rate": 1.9973350031265786e-05, + "loss": 1.0092, + "step": 2231 + }, + { + "epoch": 0.05, + "grad_norm": 1.6957455755866144, + "learning_rate": 1.9973294332168294e-05, + "loss": 1.0199, + "step": 2232 + }, + { + "epoch": 0.05, + "grad_norm": 1.693813096199994, + "learning_rate": 1.9973238575003123e-05, + "loss": 1.0234, + "step": 2233 + }, + { + "epoch": 0.05, + "grad_norm": 1.7398208814678635, + "learning_rate": 1.9973182759770605e-05, + "loss": 1.0351, + "step": 2234 + }, + { + "epoch": 0.05, + "grad_norm": 1.6668733093569181, + "learning_rate": 1.9973126886471053e-05, + "loss": 0.8909, + "step": 2235 + }, + { + "epoch": 0.05, + "grad_norm": 2.832883278298335, + "learning_rate": 1.9973070955104802e-05, + "loss": 1.0271, + "step": 2236 + }, + { + "epoch": 0.05, + "grad_norm": 2.0454289683085656, + "learning_rate": 1.9973014965672175e-05, + "loss": 0.7802, + "step": 2237 + }, + { + "epoch": 0.05, + "grad_norm": 0.7858847291076628, + "learning_rate": 1.9972958918173498e-05, + "loss": 0.7292, + "step": 2238 + }, + { + "epoch": 0.05, + "grad_norm": 1.883435796399833, + "learning_rate": 1.9972902812609093e-05, + "loss": 0.8608, + "step": 2239 + }, + { + "epoch": 0.05, + "grad_norm": 0.8047928996075815, + "learning_rate": 1.9972846648979292e-05, + "loss": 0.7554, + "step": 2240 + }, + { + "epoch": 0.05, + "grad_norm": 1.7230026873008981, + "learning_rate": 1.9972790427284424e-05, + "loss": 0.8545, + "step": 2241 + }, + { + "epoch": 0.05, + "grad_norm": 1.711973187297525, + "learning_rate": 1.997273414752481e-05, + "loss": 0.7668, + "step": 2242 + }, + { + "epoch": 0.05, + "grad_norm": 1.8117439521387189, + "learning_rate": 1.997267780970078e-05, + "loss": 0.9523, + "step": 2243 + }, + { + "epoch": 0.05, + "grad_norm": 0.7945902522632202, + "learning_rate": 1.9972621413812664e-05, + "loss": 0.7529, + "step": 2244 + }, + { + "epoch": 0.05, + "grad_norm": 1.8183626897930976, + "learning_rate": 1.997256495986079e-05, + "loss": 0.801, + "step": 2245 + }, + { + "epoch": 0.05, + "grad_norm": 1.7378282222872514, + "learning_rate": 1.9972508447845483e-05, + "loss": 0.9763, + "step": 2246 + }, + { + "epoch": 0.05, + "grad_norm": 1.6265320053101155, + "learning_rate": 1.9972451877767075e-05, + "loss": 0.9461, + "step": 2247 + }, + { + "epoch": 0.05, + "grad_norm": 1.6039944117009604, + "learning_rate": 1.9972395249625897e-05, + "loss": 0.8811, + "step": 2248 + }, + { + "epoch": 0.05, + "grad_norm": 1.6675314186852088, + "learning_rate": 1.9972338563422273e-05, + "loss": 0.9617, + "step": 2249 + }, + { + "epoch": 0.05, + "grad_norm": 1.5762228095219375, + "learning_rate": 1.997228181915654e-05, + "loss": 1.0269, + "step": 2250 + }, + { + "epoch": 0.05, + "grad_norm": 1.9284446202579928, + "learning_rate": 1.9972225016829023e-05, + "loss": 0.8944, + "step": 2251 + }, + { + "epoch": 0.05, + "grad_norm": 1.9957755809143876, + "learning_rate": 1.9972168156440054e-05, + "loss": 0.9657, + "step": 2252 + }, + { + "epoch": 0.05, + "grad_norm": 4.809951482520653, + "learning_rate": 1.9972111237989968e-05, + "loss": 0.9716, + "step": 2253 + }, + { + "epoch": 0.05, + "grad_norm": 5.533121266703794, + "learning_rate": 1.997205426147909e-05, + "loss": 0.8832, + "step": 2254 + }, + { + "epoch": 0.05, + "grad_norm": 1.806488417676861, + "learning_rate": 1.9971997226907756e-05, + "loss": 0.8686, + "step": 2255 + }, + { + "epoch": 0.05, + "grad_norm": 2.8250788292102054, + "learning_rate": 1.9971940134276298e-05, + "loss": 0.9109, + "step": 2256 + }, + { + "epoch": 0.05, + "grad_norm": 1.7396303582566315, + "learning_rate": 1.9971882983585048e-05, + "loss": 0.9334, + "step": 2257 + }, + { + "epoch": 0.05, + "grad_norm": 2.044759127292159, + "learning_rate": 1.9971825774834338e-05, + "loss": 0.9114, + "step": 2258 + }, + { + "epoch": 0.05, + "grad_norm": 1.855696580570756, + "learning_rate": 1.99717685080245e-05, + "loss": 1.1001, + "step": 2259 + }, + { + "epoch": 0.05, + "grad_norm": 1.6142203531783996, + "learning_rate": 1.997171118315587e-05, + "loss": 0.9133, + "step": 2260 + }, + { + "epoch": 0.05, + "grad_norm": 0.790823706367059, + "learning_rate": 1.9971653800228782e-05, + "loss": 0.7407, + "step": 2261 + }, + { + "epoch": 0.05, + "grad_norm": 1.6981761748955246, + "learning_rate": 1.9971596359243562e-05, + "loss": 0.8724, + "step": 2262 + }, + { + "epoch": 0.05, + "grad_norm": 1.7261548835825509, + "learning_rate": 1.9971538860200556e-05, + "loss": 0.8388, + "step": 2263 + }, + { + "epoch": 0.05, + "grad_norm": 1.834141408932957, + "learning_rate": 1.9971481303100093e-05, + "loss": 0.95, + "step": 2264 + }, + { + "epoch": 0.05, + "grad_norm": 2.3769510661777846, + "learning_rate": 1.997142368794251e-05, + "loss": 0.915, + "step": 2265 + }, + { + "epoch": 0.05, + "grad_norm": 1.980268315683123, + "learning_rate": 1.997136601472814e-05, + "loss": 0.9592, + "step": 2266 + }, + { + "epoch": 0.05, + "grad_norm": 1.735280420298666, + "learning_rate": 1.997130828345732e-05, + "loss": 0.9391, + "step": 2267 + }, + { + "epoch": 0.05, + "grad_norm": 1.8784300110962444, + "learning_rate": 1.997125049413039e-05, + "loss": 0.9364, + "step": 2268 + }, + { + "epoch": 0.05, + "grad_norm": 1.940428882072197, + "learning_rate": 1.9971192646747678e-05, + "loss": 0.8601, + "step": 2269 + }, + { + "epoch": 0.05, + "grad_norm": 4.512272392207098, + "learning_rate": 1.997113474130953e-05, + "loss": 0.8718, + "step": 2270 + }, + { + "epoch": 0.05, + "grad_norm": 1.490817663065329, + "learning_rate": 1.9971076777816275e-05, + "loss": 0.8491, + "step": 2271 + }, + { + "epoch": 0.05, + "grad_norm": 2.0402028102311904, + "learning_rate": 1.9971018756268256e-05, + "loss": 0.8698, + "step": 2272 + }, + { + "epoch": 0.05, + "grad_norm": 1.5613162236548057, + "learning_rate": 1.997096067666581e-05, + "loss": 0.9534, + "step": 2273 + }, + { + "epoch": 0.05, + "grad_norm": 1.652859252792861, + "learning_rate": 1.997090253900927e-05, + "loss": 0.8052, + "step": 2274 + }, + { + "epoch": 0.05, + "grad_norm": 0.8253129744725839, + "learning_rate": 1.997084434329898e-05, + "loss": 0.7331, + "step": 2275 + }, + { + "epoch": 0.05, + "grad_norm": 1.731842872449227, + "learning_rate": 1.9970786089535283e-05, + "loss": 0.872, + "step": 2276 + }, + { + "epoch": 0.05, + "grad_norm": 0.7829274102640468, + "learning_rate": 1.9970727777718505e-05, + "loss": 0.7689, + "step": 2277 + }, + { + "epoch": 0.05, + "grad_norm": 1.9094951386409211, + "learning_rate": 1.9970669407848997e-05, + "loss": 0.9899, + "step": 2278 + }, + { + "epoch": 0.05, + "grad_norm": 2.279332209312092, + "learning_rate": 1.9970610979927096e-05, + "loss": 0.9673, + "step": 2279 + }, + { + "epoch": 0.05, + "grad_norm": 1.9251496202591751, + "learning_rate": 1.997055249395314e-05, + "loss": 0.8439, + "step": 2280 + }, + { + "epoch": 0.05, + "grad_norm": 1.8580285376104948, + "learning_rate": 1.9970493949927473e-05, + "loss": 0.9343, + "step": 2281 + }, + { + "epoch": 0.05, + "grad_norm": 1.6120575065207159, + "learning_rate": 1.9970435347850428e-05, + "loss": 0.7457, + "step": 2282 + }, + { + "epoch": 0.05, + "grad_norm": 1.697684733196272, + "learning_rate": 1.9970376687722356e-05, + "loss": 0.8469, + "step": 2283 + }, + { + "epoch": 0.05, + "grad_norm": 1.713313074772128, + "learning_rate": 1.9970317969543592e-05, + "loss": 0.9906, + "step": 2284 + }, + { + "epoch": 0.05, + "grad_norm": 1.6610924889602945, + "learning_rate": 1.9970259193314483e-05, + "loss": 1.0892, + "step": 2285 + }, + { + "epoch": 0.05, + "grad_norm": 2.2337797719338313, + "learning_rate": 1.9970200359035366e-05, + "loss": 0.8542, + "step": 2286 + }, + { + "epoch": 0.05, + "grad_norm": 3.566194240993718, + "learning_rate": 1.9970141466706588e-05, + "loss": 0.9593, + "step": 2287 + }, + { + "epoch": 0.05, + "grad_norm": 1.8375037969563994, + "learning_rate": 1.997008251632849e-05, + "loss": 0.8866, + "step": 2288 + }, + { + "epoch": 0.05, + "grad_norm": 0.72429831909396, + "learning_rate": 1.9970023507901416e-05, + "loss": 0.733, + "step": 2289 + }, + { + "epoch": 0.05, + "grad_norm": 1.6161200519431234, + "learning_rate": 1.9969964441425706e-05, + "loss": 0.9838, + "step": 2290 + }, + { + "epoch": 0.05, + "grad_norm": 0.809120494756176, + "learning_rate": 1.9969905316901704e-05, + "loss": 0.7144, + "step": 2291 + }, + { + "epoch": 0.05, + "grad_norm": 1.585201149978512, + "learning_rate": 1.9969846134329765e-05, + "loss": 0.9641, + "step": 2292 + }, + { + "epoch": 0.05, + "grad_norm": 1.7891346294061836, + "learning_rate": 1.996978689371022e-05, + "loss": 0.9153, + "step": 2293 + }, + { + "epoch": 0.05, + "grad_norm": 1.6004344958439152, + "learning_rate": 1.9969727595043417e-05, + "loss": 0.8577, + "step": 2294 + }, + { + "epoch": 0.05, + "grad_norm": 1.492638492141859, + "learning_rate": 1.996966823832971e-05, + "loss": 0.971, + "step": 2295 + }, + { + "epoch": 0.05, + "grad_norm": 1.830859173668038, + "learning_rate": 1.9969608823569435e-05, + "loss": 0.8452, + "step": 2296 + }, + { + "epoch": 0.05, + "grad_norm": 1.829407008589179, + "learning_rate": 1.996954935076294e-05, + "loss": 0.889, + "step": 2297 + }, + { + "epoch": 0.05, + "grad_norm": 1.6498155412986426, + "learning_rate": 1.9969489819910572e-05, + "loss": 0.9575, + "step": 2298 + }, + { + "epoch": 0.05, + "grad_norm": 2.3853812345764327, + "learning_rate": 1.9969430231012682e-05, + "loss": 0.8786, + "step": 2299 + }, + { + "epoch": 0.05, + "grad_norm": 1.9182154407492766, + "learning_rate": 1.9969370584069607e-05, + "loss": 0.8147, + "step": 2300 + }, + { + "epoch": 0.05, + "grad_norm": 1.5691356700285286, + "learning_rate": 1.9969310879081705e-05, + "loss": 0.9208, + "step": 2301 + }, + { + "epoch": 0.05, + "grad_norm": 2.233576736022847, + "learning_rate": 1.996925111604932e-05, + "loss": 0.912, + "step": 2302 + }, + { + "epoch": 0.05, + "grad_norm": 1.831721490087331, + "learning_rate": 1.9969191294972794e-05, + "loss": 0.7961, + "step": 2303 + }, + { + "epoch": 0.05, + "grad_norm": 1.6196666213731294, + "learning_rate": 1.9969131415852482e-05, + "loss": 0.9396, + "step": 2304 + }, + { + "epoch": 0.05, + "grad_norm": 1.8134375141042585, + "learning_rate": 1.996907147868873e-05, + "loss": 0.843, + "step": 2305 + }, + { + "epoch": 0.05, + "grad_norm": 1.6986763565335248, + "learning_rate": 1.9969011483481888e-05, + "loss": 1.0431, + "step": 2306 + }, + { + "epoch": 0.05, + "grad_norm": 1.890069951715086, + "learning_rate": 1.9968951430232307e-05, + "loss": 0.9605, + "step": 2307 + }, + { + "epoch": 0.05, + "grad_norm": 2.541139717339928, + "learning_rate": 1.9968891318940332e-05, + "loss": 0.8594, + "step": 2308 + }, + { + "epoch": 0.05, + "grad_norm": 1.877131758892158, + "learning_rate": 1.996883114960632e-05, + "loss": 0.7752, + "step": 2309 + }, + { + "epoch": 0.05, + "grad_norm": 2.368077636658239, + "learning_rate": 1.996877092223061e-05, + "loss": 0.9599, + "step": 2310 + }, + { + "epoch": 0.05, + "grad_norm": 2.0056829930675675, + "learning_rate": 1.9968710636813564e-05, + "loss": 0.8466, + "step": 2311 + }, + { + "epoch": 0.05, + "grad_norm": 1.72974417397975, + "learning_rate": 1.996865029335553e-05, + "loss": 0.9743, + "step": 2312 + }, + { + "epoch": 0.05, + "grad_norm": 2.0782237666107695, + "learning_rate": 1.9968589891856854e-05, + "loss": 0.9588, + "step": 2313 + }, + { + "epoch": 0.05, + "grad_norm": 1.7837779057156036, + "learning_rate": 1.9968529432317894e-05, + "loss": 0.874, + "step": 2314 + }, + { + "epoch": 0.05, + "grad_norm": 1.6518134236305726, + "learning_rate": 1.9968468914738997e-05, + "loss": 0.9853, + "step": 2315 + }, + { + "epoch": 0.05, + "grad_norm": 1.74516503351375, + "learning_rate": 1.9968408339120522e-05, + "loss": 0.9259, + "step": 2316 + }, + { + "epoch": 0.05, + "grad_norm": 2.255716165534589, + "learning_rate": 1.9968347705462817e-05, + "loss": 0.8301, + "step": 2317 + }, + { + "epoch": 0.05, + "grad_norm": 1.9832737001465823, + "learning_rate": 1.9968287013766235e-05, + "loss": 1.0554, + "step": 2318 + }, + { + "epoch": 0.05, + "grad_norm": 1.6869414600414279, + "learning_rate": 1.996822626403113e-05, + "loss": 1.0082, + "step": 2319 + }, + { + "epoch": 0.05, + "grad_norm": 1.881250865856896, + "learning_rate": 1.9968165456257855e-05, + "loss": 0.9647, + "step": 2320 + }, + { + "epoch": 0.05, + "grad_norm": 2.0242988902694865, + "learning_rate": 1.9968104590446766e-05, + "loss": 0.8281, + "step": 2321 + }, + { + "epoch": 0.05, + "grad_norm": 1.6303696004378594, + "learning_rate": 1.9968043666598216e-05, + "loss": 0.8369, + "step": 2322 + }, + { + "epoch": 0.05, + "grad_norm": 2.0189012225452947, + "learning_rate": 1.996798268471256e-05, + "loss": 0.8172, + "step": 2323 + }, + { + "epoch": 0.05, + "grad_norm": 1.8527357221430252, + "learning_rate": 1.9967921644790153e-05, + "loss": 0.9947, + "step": 2324 + }, + { + "epoch": 0.05, + "grad_norm": 1.9067377806319732, + "learning_rate": 1.9967860546831348e-05, + "loss": 0.7746, + "step": 2325 + }, + { + "epoch": 0.05, + "grad_norm": 1.8410518031911793, + "learning_rate": 1.9967799390836505e-05, + "loss": 0.847, + "step": 2326 + }, + { + "epoch": 0.05, + "grad_norm": 1.725259567005995, + "learning_rate": 1.996773817680598e-05, + "loss": 0.8753, + "step": 2327 + }, + { + "epoch": 0.05, + "grad_norm": 1.8823482673620322, + "learning_rate": 1.9967676904740126e-05, + "loss": 0.8624, + "step": 2328 + }, + { + "epoch": 0.05, + "grad_norm": 2.363236445724382, + "learning_rate": 1.99676155746393e-05, + "loss": 0.9252, + "step": 2329 + }, + { + "epoch": 0.05, + "grad_norm": 0.7968455221822337, + "learning_rate": 1.9967554186503864e-05, + "loss": 0.7077, + "step": 2330 + }, + { + "epoch": 0.05, + "grad_norm": 1.6067691601196328, + "learning_rate": 1.9967492740334168e-05, + "loss": 0.9061, + "step": 2331 + }, + { + "epoch": 0.05, + "grad_norm": 1.5325503597140782, + "learning_rate": 1.9967431236130576e-05, + "loss": 0.9514, + "step": 2332 + }, + { + "epoch": 0.05, + "grad_norm": 1.6925293508302455, + "learning_rate": 1.9967369673893443e-05, + "loss": 1.0444, + "step": 2333 + }, + { + "epoch": 0.05, + "grad_norm": 2.5071005487804303, + "learning_rate": 1.9967308053623128e-05, + "loss": 0.8461, + "step": 2334 + }, + { + "epoch": 0.06, + "grad_norm": 1.7531969569983035, + "learning_rate": 1.996724637531999e-05, + "loss": 1.0151, + "step": 2335 + }, + { + "epoch": 0.06, + "grad_norm": 1.6826611722470926, + "learning_rate": 1.996718463898439e-05, + "loss": 0.8835, + "step": 2336 + }, + { + "epoch": 0.06, + "grad_norm": 1.6400062693916706, + "learning_rate": 1.996712284461668e-05, + "loss": 0.9553, + "step": 2337 + }, + { + "epoch": 0.06, + "grad_norm": 2.0040683074596393, + "learning_rate": 1.996706099221723e-05, + "loss": 0.9, + "step": 2338 + }, + { + "epoch": 0.06, + "grad_norm": 1.7610403374675996, + "learning_rate": 1.9966999081786396e-05, + "loss": 0.8219, + "step": 2339 + }, + { + "epoch": 0.06, + "grad_norm": 2.978732910350582, + "learning_rate": 1.9966937113324536e-05, + "loss": 0.9713, + "step": 2340 + }, + { + "epoch": 0.06, + "grad_norm": 2.8727450180204737, + "learning_rate": 1.9966875086832012e-05, + "loss": 0.9686, + "step": 2341 + }, + { + "epoch": 0.06, + "grad_norm": 1.6432408157183431, + "learning_rate": 1.9966813002309187e-05, + "loss": 0.933, + "step": 2342 + }, + { + "epoch": 0.06, + "grad_norm": 1.8274387085277077, + "learning_rate": 1.9966750859756422e-05, + "loss": 0.9474, + "step": 2343 + }, + { + "epoch": 0.06, + "grad_norm": 2.233436549601798, + "learning_rate": 1.9966688659174074e-05, + "loss": 0.9504, + "step": 2344 + }, + { + "epoch": 0.06, + "grad_norm": 1.9923310490797812, + "learning_rate": 1.9966626400562515e-05, + "loss": 0.7299, + "step": 2345 + }, + { + "epoch": 0.06, + "grad_norm": 1.6325334564401093, + "learning_rate": 1.9966564083922098e-05, + "loss": 1.0559, + "step": 2346 + }, + { + "epoch": 0.06, + "grad_norm": 1.8227719438387446, + "learning_rate": 1.996650170925319e-05, + "loss": 0.9386, + "step": 2347 + }, + { + "epoch": 0.06, + "grad_norm": 1.9130099732037023, + "learning_rate": 1.9966439276556155e-05, + "loss": 0.8895, + "step": 2348 + }, + { + "epoch": 0.06, + "grad_norm": 1.6198771433932977, + "learning_rate": 1.9966376785831354e-05, + "loss": 0.9298, + "step": 2349 + }, + { + "epoch": 0.06, + "grad_norm": 1.8349272203748241, + "learning_rate": 1.996631423707915e-05, + "loss": 0.8769, + "step": 2350 + }, + { + "epoch": 0.06, + "grad_norm": 1.688337947260217, + "learning_rate": 1.9966251630299915e-05, + "loss": 0.9261, + "step": 2351 + }, + { + "epoch": 0.06, + "grad_norm": 1.4777842166891801, + "learning_rate": 1.9966188965494e-05, + "loss": 0.8301, + "step": 2352 + }, + { + "epoch": 0.06, + "grad_norm": 1.5797593370739964, + "learning_rate": 1.9966126242661783e-05, + "loss": 0.9104, + "step": 2353 + }, + { + "epoch": 0.06, + "grad_norm": 1.5959766987964445, + "learning_rate": 1.996606346180362e-05, + "loss": 0.7174, + "step": 2354 + }, + { + "epoch": 0.06, + "grad_norm": 0.8131862691058419, + "learning_rate": 1.9966000622919886e-05, + "loss": 0.7943, + "step": 2355 + }, + { + "epoch": 0.06, + "grad_norm": 1.6619223622779065, + "learning_rate": 1.996593772601094e-05, + "loss": 0.8331, + "step": 2356 + }, + { + "epoch": 0.06, + "grad_norm": 1.8250493057843167, + "learning_rate": 1.996587477107715e-05, + "loss": 0.9487, + "step": 2357 + }, + { + "epoch": 0.06, + "grad_norm": 1.920149488765991, + "learning_rate": 1.9965811758118873e-05, + "loss": 0.7104, + "step": 2358 + }, + { + "epoch": 0.06, + "grad_norm": 4.140836409325902, + "learning_rate": 1.9965748687136494e-05, + "loss": 0.8099, + "step": 2359 + }, + { + "epoch": 0.06, + "grad_norm": 2.0107877803388425, + "learning_rate": 1.9965685558130368e-05, + "loss": 0.9429, + "step": 2360 + }, + { + "epoch": 0.06, + "grad_norm": 0.8241099348557543, + "learning_rate": 1.9965622371100866e-05, + "loss": 0.7821, + "step": 2361 + }, + { + "epoch": 0.06, + "grad_norm": 1.8508261968765454, + "learning_rate": 1.9965559126048354e-05, + "loss": 0.9028, + "step": 2362 + }, + { + "epoch": 0.06, + "grad_norm": 1.7236451899256995, + "learning_rate": 1.9965495822973204e-05, + "loss": 0.9302, + "step": 2363 + }, + { + "epoch": 0.06, + "grad_norm": 1.8958566437778726, + "learning_rate": 1.996543246187578e-05, + "loss": 0.8419, + "step": 2364 + }, + { + "epoch": 0.06, + "grad_norm": 1.8046177533802237, + "learning_rate": 1.9965369042756453e-05, + "loss": 0.9815, + "step": 2365 + }, + { + "epoch": 0.06, + "grad_norm": 0.8571226554690272, + "learning_rate": 1.99653055656156e-05, + "loss": 0.7967, + "step": 2366 + }, + { + "epoch": 0.06, + "grad_norm": 3.142615322125313, + "learning_rate": 1.9965242030453577e-05, + "loss": 0.9055, + "step": 2367 + }, + { + "epoch": 0.06, + "grad_norm": 1.5874817203931908, + "learning_rate": 1.9965178437270757e-05, + "loss": 0.7773, + "step": 2368 + }, + { + "epoch": 0.06, + "grad_norm": 1.7951875404654698, + "learning_rate": 1.9965114786067515e-05, + "loss": 0.9338, + "step": 2369 + }, + { + "epoch": 0.06, + "grad_norm": 2.1469671120890865, + "learning_rate": 1.9965051076844224e-05, + "loss": 0.8656, + "step": 2370 + }, + { + "epoch": 0.06, + "grad_norm": 2.0638339138985913, + "learning_rate": 1.9964987309601246e-05, + "loss": 0.9443, + "step": 2371 + }, + { + "epoch": 0.06, + "grad_norm": 1.6412293844728107, + "learning_rate": 1.996492348433896e-05, + "loss": 0.8074, + "step": 2372 + }, + { + "epoch": 0.06, + "grad_norm": 0.7691226856226283, + "learning_rate": 1.9964859601057734e-05, + "loss": 0.7166, + "step": 2373 + }, + { + "epoch": 0.06, + "grad_norm": 0.810651379280642, + "learning_rate": 1.996479565975794e-05, + "loss": 0.758, + "step": 2374 + }, + { + "epoch": 0.06, + "grad_norm": 1.6109271751055245, + "learning_rate": 1.996473166043995e-05, + "loss": 0.8827, + "step": 2375 + }, + { + "epoch": 0.06, + "grad_norm": 0.8115097358114423, + "learning_rate": 1.996466760310414e-05, + "loss": 0.748, + "step": 2376 + }, + { + "epoch": 0.06, + "grad_norm": 1.7244882288271657, + "learning_rate": 1.996460348775088e-05, + "loss": 0.818, + "step": 2377 + }, + { + "epoch": 0.06, + "grad_norm": 1.4866047683314776, + "learning_rate": 1.9964539314380542e-05, + "loss": 0.891, + "step": 2378 + }, + { + "epoch": 0.06, + "grad_norm": 1.8331176760327368, + "learning_rate": 1.99644750829935e-05, + "loss": 0.8762, + "step": 2379 + }, + { + "epoch": 0.06, + "grad_norm": 1.8148375022614271, + "learning_rate": 1.996441079359013e-05, + "loss": 0.8158, + "step": 2380 + }, + { + "epoch": 0.06, + "grad_norm": 2.0367275956913216, + "learning_rate": 1.996434644617081e-05, + "loss": 0.927, + "step": 2381 + }, + { + "epoch": 0.06, + "grad_norm": 1.5680132918070149, + "learning_rate": 1.9964282040735907e-05, + "loss": 0.9231, + "step": 2382 + }, + { + "epoch": 0.06, + "grad_norm": 1.7037902538456342, + "learning_rate": 1.99642175772858e-05, + "loss": 0.9807, + "step": 2383 + }, + { + "epoch": 0.06, + "grad_norm": 1.821271260295339, + "learning_rate": 1.9964153055820863e-05, + "loss": 0.9331, + "step": 2384 + }, + { + "epoch": 0.06, + "grad_norm": 1.6929448965138352, + "learning_rate": 1.996408847634147e-05, + "loss": 0.9131, + "step": 2385 + }, + { + "epoch": 0.06, + "grad_norm": 2.3086501995981568, + "learning_rate": 1.9964023838848004e-05, + "loss": 0.933, + "step": 2386 + }, + { + "epoch": 0.06, + "grad_norm": 1.8531951802216478, + "learning_rate": 1.9963959143340833e-05, + "loss": 1.0131, + "step": 2387 + }, + { + "epoch": 0.06, + "grad_norm": 1.757805803008038, + "learning_rate": 1.996389438982034e-05, + "loss": 0.9584, + "step": 2388 + }, + { + "epoch": 0.06, + "grad_norm": 2.4141607166671704, + "learning_rate": 1.99638295782869e-05, + "loss": 0.9355, + "step": 2389 + }, + { + "epoch": 0.06, + "grad_norm": 1.7698704292867518, + "learning_rate": 1.996376470874089e-05, + "loss": 0.8428, + "step": 2390 + }, + { + "epoch": 0.06, + "grad_norm": 2.0596685097015746, + "learning_rate": 1.9963699781182685e-05, + "loss": 0.9017, + "step": 2391 + }, + { + "epoch": 0.06, + "grad_norm": 1.9784727004524312, + "learning_rate": 1.9963634795612666e-05, + "loss": 0.9376, + "step": 2392 + }, + { + "epoch": 0.06, + "grad_norm": 1.712814970915482, + "learning_rate": 1.9963569752031207e-05, + "loss": 0.9439, + "step": 2393 + }, + { + "epoch": 0.06, + "grad_norm": 1.8317550734294135, + "learning_rate": 1.9963504650438698e-05, + "loss": 0.9241, + "step": 2394 + }, + { + "epoch": 0.06, + "grad_norm": 1.6453771255947338, + "learning_rate": 1.9963439490835504e-05, + "loss": 0.8238, + "step": 2395 + }, + { + "epoch": 0.06, + "grad_norm": 1.6032039724474676, + "learning_rate": 1.9963374273222015e-05, + "loss": 0.9433, + "step": 2396 + }, + { + "epoch": 0.06, + "grad_norm": 0.8947982396152725, + "learning_rate": 1.9963308997598604e-05, + "loss": 0.727, + "step": 2397 + }, + { + "epoch": 0.06, + "grad_norm": 2.2541419185896303, + "learning_rate": 1.9963243663965658e-05, + "loss": 0.7736, + "step": 2398 + }, + { + "epoch": 0.06, + "grad_norm": 1.7256114519785286, + "learning_rate": 1.9963178272323548e-05, + "loss": 0.9378, + "step": 2399 + }, + { + "epoch": 0.06, + "grad_norm": 1.584819593784692, + "learning_rate": 1.996311282267266e-05, + "loss": 1.0423, + "step": 2400 + }, + { + "epoch": 0.06, + "grad_norm": 1.7939708131617969, + "learning_rate": 1.9963047315013376e-05, + "loss": 1.008, + "step": 2401 + }, + { + "epoch": 0.06, + "grad_norm": 1.8280891093731115, + "learning_rate": 1.996298174934608e-05, + "loss": 0.8014, + "step": 2402 + }, + { + "epoch": 0.06, + "grad_norm": 2.3669731704119283, + "learning_rate": 1.9962916125671146e-05, + "loss": 0.9368, + "step": 2403 + }, + { + "epoch": 0.06, + "grad_norm": 1.9113346791918806, + "learning_rate": 1.996285044398896e-05, + "loss": 0.9667, + "step": 2404 + }, + { + "epoch": 0.06, + "grad_norm": 1.6217144426504977, + "learning_rate": 1.9962784704299907e-05, + "loss": 0.9057, + "step": 2405 + }, + { + "epoch": 0.06, + "grad_norm": 0.7758361822160721, + "learning_rate": 1.9962718906604365e-05, + "loss": 0.7738, + "step": 2406 + }, + { + "epoch": 0.06, + "grad_norm": 2.874945583521751, + "learning_rate": 1.9962653050902722e-05, + "loss": 0.8677, + "step": 2407 + }, + { + "epoch": 0.06, + "grad_norm": 1.6122926545553338, + "learning_rate": 1.996258713719536e-05, + "loss": 0.914, + "step": 2408 + }, + { + "epoch": 0.06, + "grad_norm": 1.8204792829112992, + "learning_rate": 1.9962521165482657e-05, + "loss": 0.986, + "step": 2409 + }, + { + "epoch": 0.06, + "grad_norm": 1.9330901878894298, + "learning_rate": 1.9962455135765003e-05, + "loss": 0.8706, + "step": 2410 + }, + { + "epoch": 0.06, + "grad_norm": 1.7574366206549494, + "learning_rate": 1.996238904804278e-05, + "loss": 0.7654, + "step": 2411 + }, + { + "epoch": 0.06, + "grad_norm": 2.2367251647319857, + "learning_rate": 1.9962322902316376e-05, + "loss": 0.8415, + "step": 2412 + }, + { + "epoch": 0.06, + "grad_norm": 0.7896115404104809, + "learning_rate": 1.9962256698586174e-05, + "loss": 0.7584, + "step": 2413 + }, + { + "epoch": 0.06, + "grad_norm": 1.7082501666543684, + "learning_rate": 1.996219043685256e-05, + "loss": 1.0187, + "step": 2414 + }, + { + "epoch": 0.06, + "grad_norm": 1.8642542631321326, + "learning_rate": 1.9962124117115914e-05, + "loss": 1.0169, + "step": 2415 + }, + { + "epoch": 0.06, + "grad_norm": 2.457669244580553, + "learning_rate": 1.9962057739376634e-05, + "loss": 0.925, + "step": 2416 + }, + { + "epoch": 0.06, + "grad_norm": 1.606980886179275, + "learning_rate": 1.9961991303635096e-05, + "loss": 0.8691, + "step": 2417 + }, + { + "epoch": 0.06, + "grad_norm": 1.7929726605279201, + "learning_rate": 1.9961924809891693e-05, + "loss": 0.9273, + "step": 2418 + }, + { + "epoch": 0.06, + "grad_norm": 2.3256555307178055, + "learning_rate": 1.996185825814681e-05, + "loss": 0.7908, + "step": 2419 + }, + { + "epoch": 0.06, + "grad_norm": 1.869424482057943, + "learning_rate": 1.9961791648400836e-05, + "loss": 0.9227, + "step": 2420 + }, + { + "epoch": 0.06, + "grad_norm": 0.7295615025735586, + "learning_rate": 1.9961724980654154e-05, + "loss": 0.6968, + "step": 2421 + }, + { + "epoch": 0.06, + "grad_norm": 1.7267624907240906, + "learning_rate": 1.9961658254907153e-05, + "loss": 0.8678, + "step": 2422 + }, + { + "epoch": 0.06, + "grad_norm": 1.8793242862582664, + "learning_rate": 1.9961591471160228e-05, + "loss": 1.0353, + "step": 2423 + }, + { + "epoch": 0.06, + "grad_norm": 0.7783433269938528, + "learning_rate": 1.9961524629413765e-05, + "loss": 0.7601, + "step": 2424 + }, + { + "epoch": 0.06, + "grad_norm": 1.8796744458723007, + "learning_rate": 1.9961457729668148e-05, + "loss": 0.9698, + "step": 2425 + }, + { + "epoch": 0.06, + "grad_norm": 1.7223811748526237, + "learning_rate": 1.9961390771923772e-05, + "loss": 0.9787, + "step": 2426 + }, + { + "epoch": 0.06, + "grad_norm": 1.6315636178424038, + "learning_rate": 1.9961323756181024e-05, + "loss": 0.8631, + "step": 2427 + }, + { + "epoch": 0.06, + "grad_norm": 1.8255331463522952, + "learning_rate": 1.9961256682440298e-05, + "loss": 0.8808, + "step": 2428 + }, + { + "epoch": 0.06, + "grad_norm": 1.757620671322131, + "learning_rate": 1.996118955070198e-05, + "loss": 0.9605, + "step": 2429 + }, + { + "epoch": 0.06, + "grad_norm": 1.8699178334352693, + "learning_rate": 1.9961122360966463e-05, + "loss": 0.946, + "step": 2430 + }, + { + "epoch": 0.06, + "grad_norm": 1.719458282323735, + "learning_rate": 1.9961055113234137e-05, + "loss": 1.0227, + "step": 2431 + }, + { + "epoch": 0.06, + "grad_norm": 1.9983196088280886, + "learning_rate": 1.9960987807505398e-05, + "loss": 0.9919, + "step": 2432 + }, + { + "epoch": 0.06, + "grad_norm": 2.4099521948831417, + "learning_rate": 1.996092044378063e-05, + "loss": 0.8076, + "step": 2433 + }, + { + "epoch": 0.06, + "grad_norm": 1.5605320243836034, + "learning_rate": 1.996085302206023e-05, + "loss": 1.0631, + "step": 2434 + }, + { + "epoch": 0.06, + "grad_norm": 1.8306444300561924, + "learning_rate": 1.9960785542344594e-05, + "loss": 0.8512, + "step": 2435 + }, + { + "epoch": 0.06, + "grad_norm": 2.3360546960633823, + "learning_rate": 1.996071800463411e-05, + "loss": 0.9168, + "step": 2436 + }, + { + "epoch": 0.06, + "grad_norm": 2.1319252292309434, + "learning_rate": 1.996065040892917e-05, + "loss": 0.7923, + "step": 2437 + }, + { + "epoch": 0.06, + "grad_norm": 1.7712221394133163, + "learning_rate": 1.9960582755230172e-05, + "loss": 0.8631, + "step": 2438 + }, + { + "epoch": 0.06, + "grad_norm": 1.6105511962991443, + "learning_rate": 1.9960515043537504e-05, + "loss": 0.9548, + "step": 2439 + }, + { + "epoch": 0.06, + "grad_norm": 2.1302045179252405, + "learning_rate": 1.9960447273851567e-05, + "loss": 0.8955, + "step": 2440 + }, + { + "epoch": 0.06, + "grad_norm": 1.9185871728570891, + "learning_rate": 1.9960379446172754e-05, + "loss": 0.9376, + "step": 2441 + }, + { + "epoch": 0.06, + "grad_norm": 2.0840257620684763, + "learning_rate": 1.9960311560501457e-05, + "loss": 0.9448, + "step": 2442 + }, + { + "epoch": 0.06, + "grad_norm": 2.0106396066792103, + "learning_rate": 1.996024361683807e-05, + "loss": 0.89, + "step": 2443 + }, + { + "epoch": 0.06, + "grad_norm": 1.734481528787937, + "learning_rate": 1.996017561518299e-05, + "loss": 0.903, + "step": 2444 + }, + { + "epoch": 0.06, + "grad_norm": 1.7769859771471832, + "learning_rate": 1.996010755553662e-05, + "loss": 1.0119, + "step": 2445 + }, + { + "epoch": 0.06, + "grad_norm": 1.949772360622772, + "learning_rate": 1.996003943789935e-05, + "loss": 0.7892, + "step": 2446 + }, + { + "epoch": 0.06, + "grad_norm": 5.058262364159942, + "learning_rate": 1.9959971262271574e-05, + "loss": 0.9144, + "step": 2447 + }, + { + "epoch": 0.06, + "grad_norm": 1.832498049168593, + "learning_rate": 1.9959903028653695e-05, + "loss": 0.8315, + "step": 2448 + }, + { + "epoch": 0.06, + "grad_norm": 1.8018474682867602, + "learning_rate": 1.9959834737046107e-05, + "loss": 0.9557, + "step": 2449 + }, + { + "epoch": 0.06, + "grad_norm": 1.7581431206409859, + "learning_rate": 1.9959766387449203e-05, + "loss": 0.9392, + "step": 2450 + }, + { + "epoch": 0.06, + "grad_norm": 1.8642636010418323, + "learning_rate": 1.995969797986339e-05, + "loss": 1.0583, + "step": 2451 + }, + { + "epoch": 0.06, + "grad_norm": 1.7820472368726217, + "learning_rate": 1.9959629514289065e-05, + "loss": 0.8206, + "step": 2452 + }, + { + "epoch": 0.06, + "grad_norm": 1.9474949387543905, + "learning_rate": 1.995956099072662e-05, + "loss": 0.9263, + "step": 2453 + }, + { + "epoch": 0.06, + "grad_norm": 2.0936147943965095, + "learning_rate": 1.995949240917646e-05, + "loss": 0.8771, + "step": 2454 + }, + { + "epoch": 0.06, + "grad_norm": 1.975077556032171, + "learning_rate": 1.9959423769638978e-05, + "loss": 0.8473, + "step": 2455 + }, + { + "epoch": 0.06, + "grad_norm": 1.6999112927925335, + "learning_rate": 1.995935507211458e-05, + "loss": 1.0443, + "step": 2456 + }, + { + "epoch": 0.06, + "grad_norm": 1.8497150252908716, + "learning_rate": 1.9959286316603662e-05, + "loss": 0.9469, + "step": 2457 + }, + { + "epoch": 0.06, + "grad_norm": 1.7136119262715184, + "learning_rate": 1.995921750310663e-05, + "loss": 0.8165, + "step": 2458 + }, + { + "epoch": 0.06, + "grad_norm": 1.7806817480157568, + "learning_rate": 1.9959148631623878e-05, + "loss": 0.9538, + "step": 2459 + }, + { + "epoch": 0.06, + "grad_norm": 1.7722689132473899, + "learning_rate": 1.995907970215581e-05, + "loss": 0.9426, + "step": 2460 + }, + { + "epoch": 0.06, + "grad_norm": 1.7765447991186243, + "learning_rate": 1.9959010714702827e-05, + "loss": 1.0341, + "step": 2461 + }, + { + "epoch": 0.06, + "grad_norm": 1.6325002965113737, + "learning_rate": 1.995894166926533e-05, + "loss": 0.8515, + "step": 2462 + }, + { + "epoch": 0.06, + "grad_norm": 1.692839139908965, + "learning_rate": 1.9958872565843724e-05, + "loss": 0.8862, + "step": 2463 + }, + { + "epoch": 0.06, + "grad_norm": 1.5034497494016186, + "learning_rate": 1.9958803404438406e-05, + "loss": 0.8627, + "step": 2464 + }, + { + "epoch": 0.06, + "grad_norm": 1.8207195140737167, + "learning_rate": 1.9958734185049782e-05, + "loss": 0.9955, + "step": 2465 + }, + { + "epoch": 0.06, + "grad_norm": 1.4529690568288338, + "learning_rate": 1.9958664907678257e-05, + "loss": 0.9021, + "step": 2466 + }, + { + "epoch": 0.06, + "grad_norm": 1.779852602247175, + "learning_rate": 1.995859557232423e-05, + "loss": 0.8517, + "step": 2467 + }, + { + "epoch": 0.06, + "grad_norm": 1.7164158749931793, + "learning_rate": 1.9958526178988107e-05, + "loss": 1.1089, + "step": 2468 + }, + { + "epoch": 0.06, + "grad_norm": 1.8502401552584489, + "learning_rate": 1.9958456727670296e-05, + "loss": 0.9493, + "step": 2469 + }, + { + "epoch": 0.06, + "grad_norm": 5.065839962014, + "learning_rate": 1.9958387218371192e-05, + "loss": 0.9575, + "step": 2470 + }, + { + "epoch": 0.06, + "grad_norm": 1.9476350494377381, + "learning_rate": 1.9958317651091206e-05, + "loss": 1.0682, + "step": 2471 + }, + { + "epoch": 0.06, + "grad_norm": 1.853996822309988, + "learning_rate": 1.9958248025830743e-05, + "loss": 0.7932, + "step": 2472 + }, + { + "epoch": 0.06, + "grad_norm": 1.6869354830490806, + "learning_rate": 1.9958178342590205e-05, + "loss": 0.9727, + "step": 2473 + }, + { + "epoch": 0.06, + "grad_norm": 1.8918389063526106, + "learning_rate": 1.995810860137e-05, + "loss": 0.9766, + "step": 2474 + }, + { + "epoch": 0.06, + "grad_norm": 1.6831313976255518, + "learning_rate": 1.9958038802170537e-05, + "loss": 0.9712, + "step": 2475 + }, + { + "epoch": 0.06, + "grad_norm": 1.7271337813270011, + "learning_rate": 1.995796894499222e-05, + "loss": 0.9902, + "step": 2476 + }, + { + "epoch": 0.06, + "grad_norm": 1.858441541650961, + "learning_rate": 1.9957899029835453e-05, + "loss": 0.8721, + "step": 2477 + }, + { + "epoch": 0.06, + "grad_norm": 1.5195923509255702, + "learning_rate": 1.9957829056700643e-05, + "loss": 1.0194, + "step": 2478 + }, + { + "epoch": 0.06, + "grad_norm": 1.8282456257917514, + "learning_rate": 1.9957759025588203e-05, + "loss": 0.8758, + "step": 2479 + }, + { + "epoch": 0.06, + "grad_norm": 1.742554941427461, + "learning_rate": 1.9957688936498537e-05, + "loss": 0.9161, + "step": 2480 + }, + { + "epoch": 0.06, + "grad_norm": 1.9193132997559308, + "learning_rate": 1.9957618789432053e-05, + "loss": 0.8578, + "step": 2481 + }, + { + "epoch": 0.06, + "grad_norm": 1.730997007312578, + "learning_rate": 1.995754858438916e-05, + "loss": 1.0196, + "step": 2482 + }, + { + "epoch": 0.06, + "grad_norm": 1.605844572176964, + "learning_rate": 1.9957478321370266e-05, + "loss": 1.0336, + "step": 2483 + }, + { + "epoch": 0.06, + "grad_norm": 1.899354682428731, + "learning_rate": 1.995740800037578e-05, + "loss": 0.859, + "step": 2484 + }, + { + "epoch": 0.06, + "grad_norm": 1.5589202878312893, + "learning_rate": 1.9957337621406112e-05, + "loss": 0.9, + "step": 2485 + }, + { + "epoch": 0.06, + "grad_norm": 1.9064030376375722, + "learning_rate": 1.9957267184461674e-05, + "loss": 0.9174, + "step": 2486 + }, + { + "epoch": 0.06, + "grad_norm": 1.7282887666380826, + "learning_rate": 1.9957196689542873e-05, + "loss": 0.8615, + "step": 2487 + }, + { + "epoch": 0.06, + "grad_norm": 1.676219894308753, + "learning_rate": 1.995712613665012e-05, + "loss": 0.9451, + "step": 2488 + }, + { + "epoch": 0.06, + "grad_norm": 1.62459673949636, + "learning_rate": 1.995705552578383e-05, + "loss": 1.0015, + "step": 2489 + }, + { + "epoch": 0.06, + "grad_norm": 1.690475035868478, + "learning_rate": 1.9956984856944403e-05, + "loss": 0.9951, + "step": 2490 + }, + { + "epoch": 0.06, + "grad_norm": 1.794852812010284, + "learning_rate": 1.9956914130132264e-05, + "loss": 0.9531, + "step": 2491 + }, + { + "epoch": 0.06, + "grad_norm": 1.8741019143791684, + "learning_rate": 1.9956843345347817e-05, + "loss": 0.9664, + "step": 2492 + }, + { + "epoch": 0.06, + "grad_norm": 1.648098062928289, + "learning_rate": 1.9956772502591473e-05, + "loss": 0.8351, + "step": 2493 + }, + { + "epoch": 0.06, + "grad_norm": 2.321556115190333, + "learning_rate": 1.9956701601863653e-05, + "loss": 1.0213, + "step": 2494 + }, + { + "epoch": 0.06, + "grad_norm": 1.616001580831195, + "learning_rate": 1.9956630643164758e-05, + "loss": 1.0277, + "step": 2495 + }, + { + "epoch": 0.06, + "grad_norm": 1.7677625796327363, + "learning_rate": 1.995655962649521e-05, + "loss": 0.9057, + "step": 2496 + }, + { + "epoch": 0.06, + "grad_norm": 1.8095958482620433, + "learning_rate": 1.995648855185542e-05, + "loss": 1.038, + "step": 2497 + }, + { + "epoch": 0.06, + "grad_norm": 1.8031043285613564, + "learning_rate": 1.9956417419245802e-05, + "loss": 0.884, + "step": 2498 + }, + { + "epoch": 0.06, + "grad_norm": 1.9290267575306301, + "learning_rate": 1.995634622866677e-05, + "loss": 0.8433, + "step": 2499 + }, + { + "epoch": 0.06, + "grad_norm": 0.8006420762523431, + "learning_rate": 1.9956274980118736e-05, + "loss": 0.6646, + "step": 2500 + }, + { + "epoch": 0.06, + "grad_norm": 1.9837615936961863, + "learning_rate": 1.9956203673602116e-05, + "loss": 0.72, + "step": 2501 + }, + { + "epoch": 0.06, + "grad_norm": 1.655011055660549, + "learning_rate": 1.995613230911733e-05, + "loss": 0.8504, + "step": 2502 + }, + { + "epoch": 0.06, + "grad_norm": 1.8214588854737206, + "learning_rate": 1.9956060886664786e-05, + "loss": 0.9254, + "step": 2503 + }, + { + "epoch": 0.06, + "grad_norm": 1.815119438051416, + "learning_rate": 1.9955989406244906e-05, + "loss": 0.9606, + "step": 2504 + }, + { + "epoch": 0.06, + "grad_norm": 1.5545463602029463, + "learning_rate": 1.9955917867858102e-05, + "loss": 0.9366, + "step": 2505 + }, + { + "epoch": 0.06, + "grad_norm": 1.9289340516100613, + "learning_rate": 1.9955846271504792e-05, + "loss": 0.7773, + "step": 2506 + }, + { + "epoch": 0.06, + "grad_norm": 2.2410324068165877, + "learning_rate": 1.9955774617185395e-05, + "loss": 0.9469, + "step": 2507 + }, + { + "epoch": 0.06, + "grad_norm": 1.9208124593756668, + "learning_rate": 1.9955702904900325e-05, + "loss": 0.9644, + "step": 2508 + }, + { + "epoch": 0.06, + "grad_norm": 2.000979098066601, + "learning_rate": 1.995563113465e-05, + "loss": 0.9239, + "step": 2509 + }, + { + "epoch": 0.06, + "grad_norm": 1.5024056641136687, + "learning_rate": 1.9955559306434843e-05, + "loss": 0.8361, + "step": 2510 + }, + { + "epoch": 0.06, + "grad_norm": 1.8631714020869081, + "learning_rate": 1.995548742025526e-05, + "loss": 1.02, + "step": 2511 + }, + { + "epoch": 0.06, + "grad_norm": 2.568300828826216, + "learning_rate": 1.9955415476111683e-05, + "loss": 0.7896, + "step": 2512 + }, + { + "epoch": 0.06, + "grad_norm": 2.1193501971483752, + "learning_rate": 1.9955343474004526e-05, + "loss": 0.7971, + "step": 2513 + }, + { + "epoch": 0.06, + "grad_norm": 1.6473680195237679, + "learning_rate": 1.9955271413934203e-05, + "loss": 0.9787, + "step": 2514 + }, + { + "epoch": 0.06, + "grad_norm": 2.4827763585970373, + "learning_rate": 1.9955199295901144e-05, + "loss": 0.8803, + "step": 2515 + }, + { + "epoch": 0.06, + "grad_norm": 1.676096120735952, + "learning_rate": 1.9955127119905756e-05, + "loss": 1.0552, + "step": 2516 + }, + { + "epoch": 0.06, + "grad_norm": 1.9344752927955289, + "learning_rate": 1.995505488594847e-05, + "loss": 0.9215, + "step": 2517 + }, + { + "epoch": 0.06, + "grad_norm": 1.846263759763347, + "learning_rate": 1.9954982594029703e-05, + "loss": 0.8371, + "step": 2518 + }, + { + "epoch": 0.06, + "grad_norm": 0.8165480098355012, + "learning_rate": 1.9954910244149873e-05, + "loss": 0.7014, + "step": 2519 + }, + { + "epoch": 0.06, + "grad_norm": 1.7087181918748258, + "learning_rate": 1.9954837836309407e-05, + "loss": 0.9269, + "step": 2520 + }, + { + "epoch": 0.06, + "grad_norm": 1.6539985404690796, + "learning_rate": 1.9954765370508723e-05, + "loss": 0.8822, + "step": 2521 + }, + { + "epoch": 0.06, + "grad_norm": 1.5320976478816468, + "learning_rate": 1.995469284674824e-05, + "loss": 0.8673, + "step": 2522 + }, + { + "epoch": 0.06, + "grad_norm": 1.7330035958938232, + "learning_rate": 1.995462026502839e-05, + "loss": 0.9327, + "step": 2523 + }, + { + "epoch": 0.06, + "grad_norm": 1.5308122136223248, + "learning_rate": 1.9954547625349584e-05, + "loss": 0.8287, + "step": 2524 + }, + { + "epoch": 0.06, + "grad_norm": 1.7035546342243177, + "learning_rate": 1.9954474927712252e-05, + "loss": 0.8934, + "step": 2525 + }, + { + "epoch": 0.06, + "grad_norm": 1.5590442897219998, + "learning_rate": 1.9954402172116816e-05, + "loss": 0.89, + "step": 2526 + }, + { + "epoch": 0.06, + "grad_norm": 2.3462832213834144, + "learning_rate": 1.99543293585637e-05, + "loss": 0.9116, + "step": 2527 + }, + { + "epoch": 0.06, + "grad_norm": 1.725006159327294, + "learning_rate": 1.9954256487053326e-05, + "loss": 0.9788, + "step": 2528 + }, + { + "epoch": 0.06, + "grad_norm": 2.8004672017994197, + "learning_rate": 1.995418355758612e-05, + "loss": 0.964, + "step": 2529 + }, + { + "epoch": 0.06, + "grad_norm": 1.7429612957406226, + "learning_rate": 1.99541105701625e-05, + "loss": 0.8129, + "step": 2530 + }, + { + "epoch": 0.06, + "grad_norm": 1.5947141958387623, + "learning_rate": 1.99540375247829e-05, + "loss": 0.9492, + "step": 2531 + }, + { + "epoch": 0.06, + "grad_norm": 1.7264855065455984, + "learning_rate": 1.9953964421447745e-05, + "loss": 0.9498, + "step": 2532 + }, + { + "epoch": 0.06, + "grad_norm": 2.1126133401270293, + "learning_rate": 1.995389126015746e-05, + "loss": 0.9508, + "step": 2533 + }, + { + "epoch": 0.06, + "grad_norm": 1.6964779392411204, + "learning_rate": 1.995381804091246e-05, + "loss": 1.0164, + "step": 2534 + }, + { + "epoch": 0.06, + "grad_norm": 1.5960920781909511, + "learning_rate": 1.9953744763713188e-05, + "loss": 0.9679, + "step": 2535 + }, + { + "epoch": 0.06, + "grad_norm": 2.083560812367723, + "learning_rate": 1.995367142856006e-05, + "loss": 0.9119, + "step": 2536 + }, + { + "epoch": 0.06, + "grad_norm": 1.9665290356030343, + "learning_rate": 1.9953598035453505e-05, + "loss": 0.8695, + "step": 2537 + }, + { + "epoch": 0.06, + "grad_norm": 1.9381364814439421, + "learning_rate": 1.995352458439395e-05, + "loss": 0.8841, + "step": 2538 + }, + { + "epoch": 0.06, + "grad_norm": 1.6665335890638235, + "learning_rate": 1.9953451075381826e-05, + "loss": 0.9625, + "step": 2539 + }, + { + "epoch": 0.06, + "grad_norm": 1.9157172579496504, + "learning_rate": 1.995337750841756e-05, + "loss": 1.046, + "step": 2540 + }, + { + "epoch": 0.06, + "grad_norm": 1.983066115657737, + "learning_rate": 1.9953303883501577e-05, + "loss": 0.9731, + "step": 2541 + }, + { + "epoch": 0.06, + "grad_norm": 1.4867973236564742, + "learning_rate": 1.9953230200634305e-05, + "loss": 0.9016, + "step": 2542 + }, + { + "epoch": 0.06, + "grad_norm": 3.3035927684295605, + "learning_rate": 1.995315645981618e-05, + "loss": 0.9778, + "step": 2543 + }, + { + "epoch": 0.06, + "grad_norm": 1.6958872112743149, + "learning_rate": 1.9953082661047624e-05, + "loss": 0.9008, + "step": 2544 + }, + { + "epoch": 0.06, + "grad_norm": 2.1657335254179535, + "learning_rate": 1.995300880432907e-05, + "loss": 0.8824, + "step": 2545 + }, + { + "epoch": 0.06, + "grad_norm": 1.8175346632572504, + "learning_rate": 1.9952934889660947e-05, + "loss": 0.8199, + "step": 2546 + }, + { + "epoch": 0.06, + "grad_norm": 1.7140116919013881, + "learning_rate": 1.9952860917043687e-05, + "loss": 1.0338, + "step": 2547 + }, + { + "epoch": 0.06, + "grad_norm": 2.195309367757774, + "learning_rate": 1.9952786886477718e-05, + "loss": 0.9933, + "step": 2548 + }, + { + "epoch": 0.06, + "grad_norm": 1.898589210601413, + "learning_rate": 1.9952712797963477e-05, + "loss": 1.0261, + "step": 2549 + }, + { + "epoch": 0.06, + "grad_norm": 1.6472070037329614, + "learning_rate": 1.995263865150139e-05, + "loss": 1.0126, + "step": 2550 + }, + { + "epoch": 0.06, + "grad_norm": 2.9926469054173404, + "learning_rate": 1.995256444709189e-05, + "loss": 0.9981, + "step": 2551 + }, + { + "epoch": 0.06, + "grad_norm": 2.126338254566385, + "learning_rate": 1.9952490184735404e-05, + "loss": 0.9897, + "step": 2552 + }, + { + "epoch": 0.06, + "grad_norm": 2.642539563046559, + "learning_rate": 1.9952415864432373e-05, + "loss": 1.0238, + "step": 2553 + }, + { + "epoch": 0.06, + "grad_norm": 1.7247687914599235, + "learning_rate": 1.9952341486183228e-05, + "loss": 0.9747, + "step": 2554 + }, + { + "epoch": 0.06, + "grad_norm": 1.754659171739046, + "learning_rate": 1.9952267049988393e-05, + "loss": 0.8921, + "step": 2555 + }, + { + "epoch": 0.06, + "grad_norm": 0.7772217886365823, + "learning_rate": 1.9952192555848312e-05, + "loss": 0.6806, + "step": 2556 + }, + { + "epoch": 0.06, + "grad_norm": 2.9711922862436375, + "learning_rate": 1.995211800376342e-05, + "loss": 0.9499, + "step": 2557 + }, + { + "epoch": 0.06, + "grad_norm": 1.5788084163635883, + "learning_rate": 1.995204339373414e-05, + "loss": 0.9264, + "step": 2558 + }, + { + "epoch": 0.06, + "grad_norm": 1.5881412314284091, + "learning_rate": 1.9951968725760916e-05, + "loss": 0.9026, + "step": 2559 + }, + { + "epoch": 0.06, + "grad_norm": 1.4969466829684537, + "learning_rate": 1.9951893999844178e-05, + "loss": 0.933, + "step": 2560 + }, + { + "epoch": 0.06, + "grad_norm": 2.1539246639590792, + "learning_rate": 1.995181921598436e-05, + "loss": 0.9453, + "step": 2561 + }, + { + "epoch": 0.06, + "grad_norm": 1.858391766356398, + "learning_rate": 1.9951744374181905e-05, + "loss": 0.9389, + "step": 2562 + }, + { + "epoch": 0.06, + "grad_norm": 1.5432937952700814, + "learning_rate": 1.9951669474437244e-05, + "loss": 0.9287, + "step": 2563 + }, + { + "epoch": 0.06, + "grad_norm": 1.7678299777956268, + "learning_rate": 1.9951594516750807e-05, + "loss": 1.1036, + "step": 2564 + }, + { + "epoch": 0.06, + "grad_norm": 2.084337267658584, + "learning_rate": 1.995151950112304e-05, + "loss": 0.92, + "step": 2565 + }, + { + "epoch": 0.06, + "grad_norm": 1.642903269289873, + "learning_rate": 1.9951444427554375e-05, + "loss": 0.9012, + "step": 2566 + }, + { + "epoch": 0.06, + "grad_norm": 1.6679725085257735, + "learning_rate": 1.9951369296045247e-05, + "loss": 0.9276, + "step": 2567 + }, + { + "epoch": 0.06, + "grad_norm": 2.2476553788873743, + "learning_rate": 1.9951294106596098e-05, + "loss": 0.9598, + "step": 2568 + }, + { + "epoch": 0.06, + "grad_norm": 1.598768354379379, + "learning_rate": 1.9951218859207368e-05, + "loss": 0.9135, + "step": 2569 + }, + { + "epoch": 0.06, + "grad_norm": 1.7301086929525138, + "learning_rate": 1.995114355387949e-05, + "loss": 0.9295, + "step": 2570 + }, + { + "epoch": 0.06, + "grad_norm": 1.7242347174243469, + "learning_rate": 1.99510681906129e-05, + "loss": 0.8875, + "step": 2571 + }, + { + "epoch": 0.06, + "grad_norm": 1.523205302249424, + "learning_rate": 1.9950992769408043e-05, + "loss": 1.0147, + "step": 2572 + }, + { + "epoch": 0.06, + "grad_norm": 1.8165914786208837, + "learning_rate": 1.9950917290265356e-05, + "loss": 0.9804, + "step": 2573 + }, + { + "epoch": 0.06, + "grad_norm": 1.7627987204049154, + "learning_rate": 1.9950841753185276e-05, + "loss": 0.9351, + "step": 2574 + }, + { + "epoch": 0.06, + "grad_norm": 2.2425320469535213, + "learning_rate": 1.995076615816825e-05, + "loss": 0.8689, + "step": 2575 + }, + { + "epoch": 0.06, + "grad_norm": 1.8169921667053277, + "learning_rate": 1.9950690505214707e-05, + "loss": 0.7811, + "step": 2576 + }, + { + "epoch": 0.06, + "grad_norm": 1.6512653560812374, + "learning_rate": 1.9950614794325096e-05, + "loss": 0.8547, + "step": 2577 + }, + { + "epoch": 0.06, + "grad_norm": 1.965706494698456, + "learning_rate": 1.9950539025499857e-05, + "loss": 0.8211, + "step": 2578 + }, + { + "epoch": 0.06, + "grad_norm": 1.623416609075085, + "learning_rate": 1.995046319873943e-05, + "loss": 0.9083, + "step": 2579 + }, + { + "epoch": 0.06, + "grad_norm": 1.667702566993669, + "learning_rate": 1.9950387314044254e-05, + "loss": 1.0729, + "step": 2580 + }, + { + "epoch": 0.06, + "grad_norm": 1.7566693514841134, + "learning_rate": 1.995031137141477e-05, + "loss": 0.8816, + "step": 2581 + }, + { + "epoch": 0.06, + "grad_norm": 1.4493353445866468, + "learning_rate": 1.9950235370851428e-05, + "loss": 0.9607, + "step": 2582 + }, + { + "epoch": 0.06, + "grad_norm": 2.1675355959404565, + "learning_rate": 1.9950159312354664e-05, + "loss": 1.0584, + "step": 2583 + }, + { + "epoch": 0.06, + "grad_norm": 1.5254975902369374, + "learning_rate": 1.9950083195924922e-05, + "loss": 0.9042, + "step": 2584 + }, + { + "epoch": 0.06, + "grad_norm": 2.1038718400678453, + "learning_rate": 1.9950007021562643e-05, + "loss": 1.0403, + "step": 2585 + }, + { + "epoch": 0.06, + "grad_norm": 2.629393979289901, + "learning_rate": 1.9949930789268274e-05, + "loss": 0.9577, + "step": 2586 + }, + { + "epoch": 0.06, + "grad_norm": 1.958243738412124, + "learning_rate": 1.994985449904226e-05, + "loss": 0.9488, + "step": 2587 + }, + { + "epoch": 0.06, + "grad_norm": 1.847150552011069, + "learning_rate": 1.994977815088504e-05, + "loss": 0.9108, + "step": 2588 + }, + { + "epoch": 0.06, + "grad_norm": 1.7390326854937497, + "learning_rate": 1.994970174479707e-05, + "loss": 1.0094, + "step": 2589 + }, + { + "epoch": 0.06, + "grad_norm": 1.6182537361206193, + "learning_rate": 1.994962528077878e-05, + "loss": 1.0125, + "step": 2590 + }, + { + "epoch": 0.06, + "grad_norm": 1.6002773924648468, + "learning_rate": 1.9949548758830618e-05, + "loss": 0.9383, + "step": 2591 + }, + { + "epoch": 0.06, + "grad_norm": 1.7507349222593867, + "learning_rate": 1.9949472178953036e-05, + "loss": 0.9919, + "step": 2592 + }, + { + "epoch": 0.06, + "grad_norm": 1.8022854575452565, + "learning_rate": 1.9949395541146475e-05, + "loss": 0.9388, + "step": 2593 + }, + { + "epoch": 0.06, + "grad_norm": 2.4798887781535197, + "learning_rate": 1.994931884541139e-05, + "loss": 1.0187, + "step": 2594 + }, + { + "epoch": 0.06, + "grad_norm": 1.5348380203881256, + "learning_rate": 1.9949242091748217e-05, + "loss": 0.8854, + "step": 2595 + }, + { + "epoch": 0.06, + "grad_norm": 0.824244492130809, + "learning_rate": 1.9949165280157404e-05, + "loss": 0.7794, + "step": 2596 + }, + { + "epoch": 0.06, + "grad_norm": 1.9045040098963644, + "learning_rate": 1.9949088410639407e-05, + "loss": 0.8716, + "step": 2597 + }, + { + "epoch": 0.06, + "grad_norm": 1.7104348951647101, + "learning_rate": 1.9949011483194663e-05, + "loss": 0.922, + "step": 2598 + }, + { + "epoch": 0.06, + "grad_norm": 1.8356511321654096, + "learning_rate": 1.9948934497823626e-05, + "loss": 1.011, + "step": 2599 + }, + { + "epoch": 0.06, + "grad_norm": 1.81872265984676, + "learning_rate": 1.994885745452674e-05, + "loss": 0.8109, + "step": 2600 + }, + { + "epoch": 0.06, + "grad_norm": 1.6884222507635978, + "learning_rate": 1.994878035330446e-05, + "loss": 0.8234, + "step": 2601 + }, + { + "epoch": 0.06, + "grad_norm": 2.0971093867383157, + "learning_rate": 1.9948703194157227e-05, + "loss": 0.9084, + "step": 2602 + }, + { + "epoch": 0.06, + "grad_norm": 1.4992697275013092, + "learning_rate": 1.9948625977085497e-05, + "loss": 0.9007, + "step": 2603 + }, + { + "epoch": 0.06, + "grad_norm": 1.6755346047795279, + "learning_rate": 1.9948548702089715e-05, + "loss": 0.8155, + "step": 2604 + }, + { + "epoch": 0.06, + "grad_norm": 1.7236229259691018, + "learning_rate": 1.9948471369170336e-05, + "loss": 1.0363, + "step": 2605 + }, + { + "epoch": 0.06, + "grad_norm": 1.8198663425777524, + "learning_rate": 1.9948393978327802e-05, + "loss": 0.811, + "step": 2606 + }, + { + "epoch": 0.06, + "grad_norm": 1.7444452166343616, + "learning_rate": 1.9948316529562573e-05, + "loss": 1.0373, + "step": 2607 + }, + { + "epoch": 0.06, + "grad_norm": 1.874615667206738, + "learning_rate": 1.9948239022875094e-05, + "loss": 0.8936, + "step": 2608 + }, + { + "epoch": 0.06, + "grad_norm": 1.8417580268364142, + "learning_rate": 1.9948161458265817e-05, + "loss": 0.831, + "step": 2609 + }, + { + "epoch": 0.06, + "grad_norm": 1.7422768921782004, + "learning_rate": 1.9948083835735198e-05, + "loss": 0.9183, + "step": 2610 + }, + { + "epoch": 0.06, + "grad_norm": 2.015320478496008, + "learning_rate": 1.994800615528368e-05, + "loss": 0.9734, + "step": 2611 + }, + { + "epoch": 0.06, + "grad_norm": 1.7724389825103521, + "learning_rate": 1.9947928416911723e-05, + "loss": 0.892, + "step": 2612 + }, + { + "epoch": 0.06, + "grad_norm": 1.6586373544140651, + "learning_rate": 1.994785062061978e-05, + "loss": 0.9716, + "step": 2613 + }, + { + "epoch": 0.06, + "grad_norm": 1.6819704795749209, + "learning_rate": 1.9947772766408298e-05, + "loss": 0.6877, + "step": 2614 + }, + { + "epoch": 0.06, + "grad_norm": 1.8847926765746401, + "learning_rate": 1.9947694854277734e-05, + "loss": 0.9426, + "step": 2615 + }, + { + "epoch": 0.06, + "grad_norm": 2.0424801180472403, + "learning_rate": 1.9947616884228545e-05, + "loss": 0.7642, + "step": 2616 + }, + { + "epoch": 0.06, + "grad_norm": 1.84886812415509, + "learning_rate": 1.9947538856261177e-05, + "loss": 0.9555, + "step": 2617 + }, + { + "epoch": 0.06, + "grad_norm": 2.074546448649486, + "learning_rate": 1.994746077037609e-05, + "loss": 0.9534, + "step": 2618 + }, + { + "epoch": 0.06, + "grad_norm": 1.641505860410998, + "learning_rate": 1.9947382626573736e-05, + "loss": 0.9797, + "step": 2619 + }, + { + "epoch": 0.06, + "grad_norm": 1.6053176494475687, + "learning_rate": 1.994730442485457e-05, + "loss": 0.8532, + "step": 2620 + }, + { + "epoch": 0.06, + "grad_norm": 1.8397571981602066, + "learning_rate": 1.994722616521905e-05, + "loss": 1.0034, + "step": 2621 + }, + { + "epoch": 0.06, + "grad_norm": 0.7848457300941794, + "learning_rate": 1.994714784766763e-05, + "loss": 0.7016, + "step": 2622 + }, + { + "epoch": 0.06, + "grad_norm": 1.8629634215799449, + "learning_rate": 1.9947069472200766e-05, + "loss": 0.8786, + "step": 2623 + }, + { + "epoch": 0.06, + "grad_norm": 0.7667516179778379, + "learning_rate": 1.9946991038818916e-05, + "loss": 0.7314, + "step": 2624 + }, + { + "epoch": 0.06, + "grad_norm": 1.768337722384772, + "learning_rate": 1.994691254752253e-05, + "loss": 1.0842, + "step": 2625 + }, + { + "epoch": 0.06, + "grad_norm": 2.7161105828600474, + "learning_rate": 1.9946833998312077e-05, + "loss": 0.9735, + "step": 2626 + }, + { + "epoch": 0.06, + "grad_norm": 1.848691435241838, + "learning_rate": 1.9946755391188e-05, + "loss": 0.9725, + "step": 2627 + }, + { + "epoch": 0.06, + "grad_norm": 1.7386524908206902, + "learning_rate": 1.994667672615077e-05, + "loss": 0.848, + "step": 2628 + }, + { + "epoch": 0.06, + "grad_norm": 1.5627742804505391, + "learning_rate": 1.9946598003200837e-05, + "loss": 0.9348, + "step": 2629 + }, + { + "epoch": 0.06, + "grad_norm": 1.8061179242614764, + "learning_rate": 1.994651922233866e-05, + "loss": 1.0806, + "step": 2630 + }, + { + "epoch": 0.06, + "grad_norm": 1.6705792869222245, + "learning_rate": 1.9946440383564703e-05, + "loss": 1.0072, + "step": 2631 + }, + { + "epoch": 0.06, + "grad_norm": 1.6928900362992705, + "learning_rate": 1.9946361486879416e-05, + "loss": 0.9597, + "step": 2632 + }, + { + "epoch": 0.06, + "grad_norm": 1.7922431030841706, + "learning_rate": 1.9946282532283266e-05, + "loss": 1.0132, + "step": 2633 + }, + { + "epoch": 0.06, + "grad_norm": 1.7427994934219115, + "learning_rate": 1.994620351977671e-05, + "loss": 0.9005, + "step": 2634 + }, + { + "epoch": 0.06, + "grad_norm": 1.8672322043668397, + "learning_rate": 1.9946124449360205e-05, + "loss": 0.9521, + "step": 2635 + }, + { + "epoch": 0.06, + "grad_norm": 1.9083867452643155, + "learning_rate": 1.9946045321034223e-05, + "loss": 0.9362, + "step": 2636 + }, + { + "epoch": 0.06, + "grad_norm": 1.8277793546789798, + "learning_rate": 1.9945966134799207e-05, + "loss": 0.8925, + "step": 2637 + }, + { + "epoch": 0.06, + "grad_norm": 1.6005595705008826, + "learning_rate": 1.9945886890655632e-05, + "loss": 0.7314, + "step": 2638 + }, + { + "epoch": 0.06, + "grad_norm": 3.276783045881591, + "learning_rate": 1.9945807588603954e-05, + "loss": 1.0035, + "step": 2639 + }, + { + "epoch": 0.06, + "grad_norm": 1.8812889416956966, + "learning_rate": 1.9945728228644636e-05, + "loss": 0.9718, + "step": 2640 + }, + { + "epoch": 0.06, + "grad_norm": 1.9838986319707197, + "learning_rate": 1.994564881077814e-05, + "loss": 0.8646, + "step": 2641 + }, + { + "epoch": 0.06, + "grad_norm": 1.7295816665152364, + "learning_rate": 1.9945569335004925e-05, + "loss": 0.877, + "step": 2642 + }, + { + "epoch": 0.06, + "grad_norm": 1.6227346608022235, + "learning_rate": 1.994548980132546e-05, + "loss": 0.968, + "step": 2643 + }, + { + "epoch": 0.06, + "grad_norm": 1.519536749916708, + "learning_rate": 1.9945410209740202e-05, + "loss": 0.9131, + "step": 2644 + }, + { + "epoch": 0.06, + "grad_norm": 1.5692307413641322, + "learning_rate": 1.994533056024962e-05, + "loss": 0.8507, + "step": 2645 + }, + { + "epoch": 0.06, + "grad_norm": 1.7640793735600044, + "learning_rate": 1.994525085285417e-05, + "loss": 0.9626, + "step": 2646 + }, + { + "epoch": 0.06, + "grad_norm": 1.6534559302480853, + "learning_rate": 1.9945171087554324e-05, + "loss": 0.9435, + "step": 2647 + }, + { + "epoch": 0.06, + "grad_norm": 1.8195256175385355, + "learning_rate": 1.9945091264350545e-05, + "loss": 0.8103, + "step": 2648 + }, + { + "epoch": 0.06, + "grad_norm": 1.5474633633905903, + "learning_rate": 1.9945011383243296e-05, + "loss": 0.9813, + "step": 2649 + }, + { + "epoch": 0.06, + "grad_norm": 1.6779365429886939, + "learning_rate": 1.994493144423304e-05, + "loss": 0.9092, + "step": 2650 + }, + { + "epoch": 0.06, + "grad_norm": 2.040400933915207, + "learning_rate": 1.9944851447320243e-05, + "loss": 1.0283, + "step": 2651 + }, + { + "epoch": 0.06, + "grad_norm": 1.8825160669551024, + "learning_rate": 1.9944771392505374e-05, + "loss": 0.9375, + "step": 2652 + }, + { + "epoch": 0.06, + "grad_norm": 3.75529590539201, + "learning_rate": 1.99446912797889e-05, + "loss": 1.1481, + "step": 2653 + }, + { + "epoch": 0.06, + "grad_norm": 1.6399428867615538, + "learning_rate": 1.9944611109171284e-05, + "loss": 0.8886, + "step": 2654 + }, + { + "epoch": 0.06, + "grad_norm": 2.2303786563470527, + "learning_rate": 1.9944530880652993e-05, + "loss": 0.9758, + "step": 2655 + }, + { + "epoch": 0.06, + "grad_norm": 2.2252908704238212, + "learning_rate": 1.9944450594234492e-05, + "loss": 0.8831, + "step": 2656 + }, + { + "epoch": 0.06, + "grad_norm": 2.704217934287118, + "learning_rate": 1.9944370249916254e-05, + "loss": 0.9849, + "step": 2657 + }, + { + "epoch": 0.06, + "grad_norm": 1.7161298589240017, + "learning_rate": 1.9944289847698744e-05, + "loss": 0.9053, + "step": 2658 + }, + { + "epoch": 0.06, + "grad_norm": 1.8883478126492572, + "learning_rate": 1.994420938758243e-05, + "loss": 0.7982, + "step": 2659 + }, + { + "epoch": 0.06, + "grad_norm": 2.104055851284933, + "learning_rate": 1.9944128869567782e-05, + "loss": 0.913, + "step": 2660 + }, + { + "epoch": 0.06, + "grad_norm": 1.5730120382052322, + "learning_rate": 1.9944048293655266e-05, + "loss": 0.9766, + "step": 2661 + }, + { + "epoch": 0.06, + "grad_norm": 4.007234025100614, + "learning_rate": 1.994396765984535e-05, + "loss": 1.0343, + "step": 2662 + }, + { + "epoch": 0.06, + "grad_norm": 1.7448331199629143, + "learning_rate": 1.9943886968138512e-05, + "loss": 0.8916, + "step": 2663 + }, + { + "epoch": 0.06, + "grad_norm": 2.3800736701458542, + "learning_rate": 1.9943806218535212e-05, + "loss": 0.8325, + "step": 2664 + }, + { + "epoch": 0.06, + "grad_norm": 1.727125863304165, + "learning_rate": 1.9943725411035926e-05, + "loss": 1.0177, + "step": 2665 + }, + { + "epoch": 0.06, + "grad_norm": 1.6282572514335796, + "learning_rate": 1.994364454564112e-05, + "loss": 0.9465, + "step": 2666 + }, + { + "epoch": 0.06, + "grad_norm": 1.9525760182487142, + "learning_rate": 1.9943563622351267e-05, + "loss": 0.8268, + "step": 2667 + }, + { + "epoch": 0.06, + "grad_norm": 2.08126845123687, + "learning_rate": 1.994348264116684e-05, + "loss": 0.8244, + "step": 2668 + }, + { + "epoch": 0.06, + "grad_norm": 2.1727430930012797, + "learning_rate": 1.994340160208831e-05, + "loss": 0.9991, + "step": 2669 + }, + { + "epoch": 0.06, + "grad_norm": 1.6848896929075285, + "learning_rate": 1.994332050511615e-05, + "loss": 0.981, + "step": 2670 + }, + { + "epoch": 0.06, + "grad_norm": 0.8089793698190209, + "learning_rate": 1.9943239350250823e-05, + "loss": 0.6884, + "step": 2671 + }, + { + "epoch": 0.06, + "grad_norm": 1.8474584510388041, + "learning_rate": 1.9943158137492815e-05, + "loss": 1.0206, + "step": 2672 + }, + { + "epoch": 0.06, + "grad_norm": 1.875520362333818, + "learning_rate": 1.994307686684259e-05, + "loss": 0.9383, + "step": 2673 + }, + { + "epoch": 0.06, + "grad_norm": 1.7055425257113999, + "learning_rate": 1.9942995538300624e-05, + "loss": 0.8459, + "step": 2674 + }, + { + "epoch": 0.06, + "grad_norm": 1.8230619367620366, + "learning_rate": 1.994291415186739e-05, + "loss": 0.902, + "step": 2675 + }, + { + "epoch": 0.06, + "grad_norm": 1.8183131421591627, + "learning_rate": 1.994283270754336e-05, + "loss": 1.0158, + "step": 2676 + }, + { + "epoch": 0.06, + "grad_norm": 0.7877778235326237, + "learning_rate": 1.994275120532901e-05, + "loss": 0.7357, + "step": 2677 + }, + { + "epoch": 0.06, + "grad_norm": 1.883137073879971, + "learning_rate": 1.994266964522482e-05, + "loss": 0.8288, + "step": 2678 + }, + { + "epoch": 0.06, + "grad_norm": 0.795149056175009, + "learning_rate": 1.9942588027231254e-05, + "loss": 0.6893, + "step": 2679 + }, + { + "epoch": 0.06, + "grad_norm": 2.240123974630073, + "learning_rate": 1.9942506351348796e-05, + "loss": 0.9888, + "step": 2680 + }, + { + "epoch": 0.06, + "grad_norm": 2.596194764790758, + "learning_rate": 1.9942424617577915e-05, + "loss": 0.9147, + "step": 2681 + }, + { + "epoch": 0.06, + "grad_norm": 1.6902727925126588, + "learning_rate": 1.994234282591909e-05, + "loss": 0.9387, + "step": 2682 + }, + { + "epoch": 0.06, + "grad_norm": 1.6811568314907614, + "learning_rate": 1.9942260976372802e-05, + "loss": 0.8271, + "step": 2683 + }, + { + "epoch": 0.06, + "grad_norm": 1.6867939561790284, + "learning_rate": 1.994217906893952e-05, + "loss": 0.9044, + "step": 2684 + }, + { + "epoch": 0.06, + "grad_norm": 1.8795059496399413, + "learning_rate": 1.9942097103619728e-05, + "loss": 0.769, + "step": 2685 + }, + { + "epoch": 0.06, + "grad_norm": 1.5376038327097592, + "learning_rate": 1.9942015080413894e-05, + "loss": 0.8069, + "step": 2686 + }, + { + "epoch": 0.06, + "grad_norm": 1.7765710493116285, + "learning_rate": 1.99419329993225e-05, + "loss": 0.8446, + "step": 2687 + }, + { + "epoch": 0.06, + "grad_norm": 1.7543832629001437, + "learning_rate": 1.9941850860346024e-05, + "loss": 0.8479, + "step": 2688 + }, + { + "epoch": 0.06, + "grad_norm": 1.8437190419463092, + "learning_rate": 1.9941768663484948e-05, + "loss": 0.935, + "step": 2689 + }, + { + "epoch": 0.06, + "grad_norm": 2.4872195229629845, + "learning_rate": 1.9941686408739748e-05, + "loss": 1.0152, + "step": 2690 + }, + { + "epoch": 0.06, + "grad_norm": 1.5246904446496736, + "learning_rate": 1.99416040961109e-05, + "loss": 0.9336, + "step": 2691 + }, + { + "epoch": 0.06, + "grad_norm": 2.5129978890639855, + "learning_rate": 1.9941521725598888e-05, + "loss": 0.8531, + "step": 2692 + }, + { + "epoch": 0.06, + "grad_norm": 1.6393446048299452, + "learning_rate": 1.9941439297204185e-05, + "loss": 0.9247, + "step": 2693 + }, + { + "epoch": 0.06, + "grad_norm": 1.7778941834839888, + "learning_rate": 1.994135681092728e-05, + "loss": 0.8324, + "step": 2694 + }, + { + "epoch": 0.06, + "grad_norm": 1.5447327120728234, + "learning_rate": 1.9941274266768643e-05, + "loss": 0.8565, + "step": 2695 + }, + { + "epoch": 0.06, + "grad_norm": 1.7016774078675452, + "learning_rate": 1.9941191664728763e-05, + "loss": 0.9221, + "step": 2696 + }, + { + "epoch": 0.06, + "grad_norm": 1.753095914067305, + "learning_rate": 1.9941109004808117e-05, + "loss": 0.9006, + "step": 2697 + }, + { + "epoch": 0.06, + "grad_norm": 1.9654662601764652, + "learning_rate": 1.9941026287007186e-05, + "loss": 0.9118, + "step": 2698 + }, + { + "epoch": 0.06, + "grad_norm": 1.6605814956969585, + "learning_rate": 1.9940943511326453e-05, + "loss": 0.8956, + "step": 2699 + }, + { + "epoch": 0.06, + "grad_norm": 1.688588730940849, + "learning_rate": 1.9940860677766404e-05, + "loss": 1.0105, + "step": 2700 + }, + { + "epoch": 0.06, + "grad_norm": 1.7929454985025923, + "learning_rate": 1.9940777786327513e-05, + "loss": 1.0268, + "step": 2701 + }, + { + "epoch": 0.06, + "grad_norm": 2.4384008408320175, + "learning_rate": 1.9940694837010265e-05, + "loss": 0.9145, + "step": 2702 + }, + { + "epoch": 0.06, + "grad_norm": 1.708853110023607, + "learning_rate": 1.994061182981515e-05, + "loss": 0.8794, + "step": 2703 + }, + { + "epoch": 0.06, + "grad_norm": 1.6483510161234276, + "learning_rate": 1.994052876474264e-05, + "loss": 0.9712, + "step": 2704 + }, + { + "epoch": 0.06, + "grad_norm": 0.846116159521026, + "learning_rate": 1.9940445641793228e-05, + "loss": 0.75, + "step": 2705 + }, + { + "epoch": 0.06, + "grad_norm": 1.619254932643776, + "learning_rate": 1.994036246096739e-05, + "loss": 0.8731, + "step": 2706 + }, + { + "epoch": 0.06, + "grad_norm": 1.4969534585545046, + "learning_rate": 1.9940279222265618e-05, + "loss": 0.8508, + "step": 2707 + }, + { + "epoch": 0.06, + "grad_norm": 3.149871325103597, + "learning_rate": 1.9940195925688395e-05, + "loss": 0.7917, + "step": 2708 + }, + { + "epoch": 0.06, + "grad_norm": 1.8750291146561078, + "learning_rate": 1.9940112571236203e-05, + "loss": 0.8543, + "step": 2709 + }, + { + "epoch": 0.06, + "grad_norm": 2.475093834071276, + "learning_rate": 1.9940029158909525e-05, + "loss": 0.9216, + "step": 2710 + }, + { + "epoch": 0.06, + "grad_norm": 2.0171169083913143, + "learning_rate": 1.9939945688708854e-05, + "loss": 0.876, + "step": 2711 + }, + { + "epoch": 0.06, + "grad_norm": 1.598850758666792, + "learning_rate": 1.9939862160634674e-05, + "loss": 0.9301, + "step": 2712 + }, + { + "epoch": 0.06, + "grad_norm": 2.219767059881053, + "learning_rate": 1.9939778574687465e-05, + "loss": 0.8906, + "step": 2713 + }, + { + "epoch": 0.06, + "grad_norm": 0.7767975840021714, + "learning_rate": 1.993969493086772e-05, + "loss": 0.7755, + "step": 2714 + }, + { + "epoch": 0.06, + "grad_norm": 0.8516030678209863, + "learning_rate": 1.9939611229175926e-05, + "loss": 0.7779, + "step": 2715 + }, + { + "epoch": 0.06, + "grad_norm": 0.8724549827181393, + "learning_rate": 1.9939527469612567e-05, + "loss": 0.771, + "step": 2716 + }, + { + "epoch": 0.06, + "grad_norm": 1.6744079732720212, + "learning_rate": 1.9939443652178136e-05, + "loss": 0.9408, + "step": 2717 + }, + { + "epoch": 0.06, + "grad_norm": 1.8691727307319168, + "learning_rate": 1.9939359776873112e-05, + "loss": 0.9927, + "step": 2718 + }, + { + "epoch": 0.06, + "grad_norm": 1.781160454008328, + "learning_rate": 1.9939275843697988e-05, + "loss": 0.8926, + "step": 2719 + }, + { + "epoch": 0.06, + "grad_norm": 1.5219509087940335, + "learning_rate": 1.9939191852653257e-05, + "loss": 1.0436, + "step": 2720 + }, + { + "epoch": 0.06, + "grad_norm": 1.6483350802546028, + "learning_rate": 1.9939107803739402e-05, + "loss": 0.9344, + "step": 2721 + }, + { + "epoch": 0.06, + "grad_norm": 1.7581735214563892, + "learning_rate": 1.9939023696956916e-05, + "loss": 0.9727, + "step": 2722 + }, + { + "epoch": 0.06, + "grad_norm": 1.415820411449956, + "learning_rate": 1.993893953230629e-05, + "loss": 0.9251, + "step": 2723 + }, + { + "epoch": 0.06, + "grad_norm": 1.5961999538869003, + "learning_rate": 1.993885530978801e-05, + "loss": 0.9013, + "step": 2724 + }, + { + "epoch": 0.06, + "grad_norm": 1.844633263505003, + "learning_rate": 1.9938771029402564e-05, + "loss": 0.9263, + "step": 2725 + }, + { + "epoch": 0.06, + "grad_norm": 1.7919526690873222, + "learning_rate": 1.993868669115045e-05, + "loss": 0.9935, + "step": 2726 + }, + { + "epoch": 0.06, + "grad_norm": 1.7950873953850401, + "learning_rate": 1.993860229503215e-05, + "loss": 0.8256, + "step": 2727 + }, + { + "epoch": 0.06, + "grad_norm": 1.8711837571016479, + "learning_rate": 1.9938517841048167e-05, + "loss": 0.9753, + "step": 2728 + }, + { + "epoch": 0.06, + "grad_norm": 0.7802617185905311, + "learning_rate": 1.9938433329198985e-05, + "loss": 0.6686, + "step": 2729 + }, + { + "epoch": 0.06, + "grad_norm": 1.829562995183999, + "learning_rate": 1.99383487594851e-05, + "loss": 0.932, + "step": 2730 + }, + { + "epoch": 0.06, + "grad_norm": 1.6361013871587529, + "learning_rate": 1.9938264131906998e-05, + "loss": 0.944, + "step": 2731 + }, + { + "epoch": 0.06, + "grad_norm": 1.9229081354360382, + "learning_rate": 1.993817944646518e-05, + "loss": 0.9277, + "step": 2732 + }, + { + "epoch": 0.06, + "grad_norm": 0.8258144460839872, + "learning_rate": 1.993809470316013e-05, + "loss": 0.7702, + "step": 2733 + }, + { + "epoch": 0.06, + "grad_norm": 2.093504959348146, + "learning_rate": 1.993800990199235e-05, + "loss": 0.9637, + "step": 2734 + }, + { + "epoch": 0.06, + "grad_norm": 1.6902879661273988, + "learning_rate": 1.993792504296233e-05, + "loss": 0.8422, + "step": 2735 + }, + { + "epoch": 0.06, + "grad_norm": 1.5925977330501309, + "learning_rate": 1.993784012607056e-05, + "loss": 0.9057, + "step": 2736 + }, + { + "epoch": 0.06, + "grad_norm": 1.8032040351979977, + "learning_rate": 1.993775515131754e-05, + "loss": 0.7973, + "step": 2737 + }, + { + "epoch": 0.06, + "grad_norm": 1.8799495579432275, + "learning_rate": 1.9937670118703768e-05, + "loss": 0.8493, + "step": 2738 + }, + { + "epoch": 0.06, + "grad_norm": 0.7647193428248695, + "learning_rate": 1.993758502822973e-05, + "loss": 0.73, + "step": 2739 + }, + { + "epoch": 0.06, + "grad_norm": 1.650763716211207, + "learning_rate": 1.993749987989593e-05, + "loss": 1.0095, + "step": 2740 + }, + { + "epoch": 0.06, + "grad_norm": 1.4513633875693808, + "learning_rate": 1.9937414673702852e-05, + "loss": 0.9317, + "step": 2741 + }, + { + "epoch": 0.06, + "grad_norm": 1.4757210494424517, + "learning_rate": 1.9937329409651007e-05, + "loss": 0.9157, + "step": 2742 + }, + { + "epoch": 0.06, + "grad_norm": 1.7042069494757277, + "learning_rate": 1.993724408774088e-05, + "loss": 0.9668, + "step": 2743 + }, + { + "epoch": 0.06, + "grad_norm": 1.9740687161848947, + "learning_rate": 1.9937158707972975e-05, + "loss": 0.7857, + "step": 2744 + }, + { + "epoch": 0.06, + "grad_norm": 1.7624592922068276, + "learning_rate": 1.9937073270347782e-05, + "loss": 0.825, + "step": 2745 + }, + { + "epoch": 0.06, + "grad_norm": 1.776461429642733, + "learning_rate": 1.9936987774865805e-05, + "loss": 0.9202, + "step": 2746 + }, + { + "epoch": 0.06, + "grad_norm": 0.775960374432742, + "learning_rate": 1.9936902221527536e-05, + "loss": 0.6632, + "step": 2747 + }, + { + "epoch": 0.06, + "grad_norm": 1.5422471362954004, + "learning_rate": 1.993681661033348e-05, + "loss": 0.8166, + "step": 2748 + }, + { + "epoch": 0.06, + "grad_norm": 1.8133160884299657, + "learning_rate": 1.993673094128413e-05, + "loss": 0.8752, + "step": 2749 + }, + { + "epoch": 0.06, + "grad_norm": 2.05228855574191, + "learning_rate": 1.9936645214379988e-05, + "loss": 0.921, + "step": 2750 + }, + { + "epoch": 0.06, + "grad_norm": 0.7728242595603851, + "learning_rate": 1.993655942962155e-05, + "loss": 0.7031, + "step": 2751 + }, + { + "epoch": 0.06, + "grad_norm": 1.7798743465364673, + "learning_rate": 1.993647358700932e-05, + "loss": 0.8891, + "step": 2752 + }, + { + "epoch": 0.06, + "grad_norm": 1.7223935185732921, + "learning_rate": 1.993638768654379e-05, + "loss": 0.931, + "step": 2753 + }, + { + "epoch": 0.06, + "grad_norm": 1.7451096582030154, + "learning_rate": 1.993630172822547e-05, + "loss": 0.9951, + "step": 2754 + }, + { + "epoch": 0.06, + "grad_norm": 2.879535625551704, + "learning_rate": 1.9936215712054854e-05, + "loss": 0.8759, + "step": 2755 + }, + { + "epoch": 0.06, + "grad_norm": 1.9492967285907914, + "learning_rate": 1.9936129638032443e-05, + "loss": 0.8917, + "step": 2756 + }, + { + "epoch": 0.06, + "grad_norm": 1.9756235396883974, + "learning_rate": 1.9936043506158742e-05, + "loss": 0.8847, + "step": 2757 + }, + { + "epoch": 0.06, + "grad_norm": 2.00737577540969, + "learning_rate": 1.9935957316434246e-05, + "loss": 0.7965, + "step": 2758 + }, + { + "epoch": 0.06, + "grad_norm": 1.6429540437557097, + "learning_rate": 1.9935871068859463e-05, + "loss": 1.0014, + "step": 2759 + }, + { + "epoch": 0.07, + "grad_norm": 1.773715443413745, + "learning_rate": 1.9935784763434894e-05, + "loss": 1.068, + "step": 2760 + }, + { + "epoch": 0.07, + "grad_norm": 1.8469321855518577, + "learning_rate": 1.993569840016104e-05, + "loss": 0.722, + "step": 2761 + }, + { + "epoch": 0.07, + "grad_norm": 1.686378402515632, + "learning_rate": 1.9935611979038403e-05, + "loss": 0.8402, + "step": 2762 + }, + { + "epoch": 0.07, + "grad_norm": 1.672133374456443, + "learning_rate": 1.993552550006749e-05, + "loss": 0.8137, + "step": 2763 + }, + { + "epoch": 0.07, + "grad_norm": 1.7294084150133298, + "learning_rate": 1.99354389632488e-05, + "loss": 0.9278, + "step": 2764 + }, + { + "epoch": 0.07, + "grad_norm": 1.599977356640584, + "learning_rate": 1.9935352368582837e-05, + "loss": 0.8848, + "step": 2765 + }, + { + "epoch": 0.07, + "grad_norm": 1.6326546921250231, + "learning_rate": 1.9935265716070113e-05, + "loss": 0.854, + "step": 2766 + }, + { + "epoch": 0.07, + "grad_norm": 1.5126042371318322, + "learning_rate": 1.9935179005711124e-05, + "loss": 1.0394, + "step": 2767 + }, + { + "epoch": 0.07, + "grad_norm": 1.6154890077018762, + "learning_rate": 1.993509223750637e-05, + "loss": 0.9443, + "step": 2768 + }, + { + "epoch": 0.07, + "grad_norm": 2.3668205876403223, + "learning_rate": 1.9935005411456373e-05, + "loss": 0.8733, + "step": 2769 + }, + { + "epoch": 0.07, + "grad_norm": 1.5820070857613266, + "learning_rate": 1.9934918527561627e-05, + "loss": 0.9481, + "step": 2770 + }, + { + "epoch": 0.07, + "grad_norm": 0.811915838641912, + "learning_rate": 1.993483158582264e-05, + "loss": 0.7494, + "step": 2771 + }, + { + "epoch": 0.07, + "grad_norm": 2.547142209397669, + "learning_rate": 1.9934744586239917e-05, + "loss": 1.0006, + "step": 2772 + }, + { + "epoch": 0.07, + "grad_norm": 2.0229019899124174, + "learning_rate": 1.9934657528813965e-05, + "loss": 0.8802, + "step": 2773 + }, + { + "epoch": 0.07, + "grad_norm": 1.7470935843771787, + "learning_rate": 1.993457041354529e-05, + "loss": 1.0048, + "step": 2774 + }, + { + "epoch": 0.07, + "grad_norm": 2.427512148571456, + "learning_rate": 1.9934483240434406e-05, + "loss": 0.9391, + "step": 2775 + }, + { + "epoch": 0.07, + "grad_norm": 1.7752378428693942, + "learning_rate": 1.9934396009481815e-05, + "loss": 0.964, + "step": 2776 + }, + { + "epoch": 0.07, + "grad_norm": 1.7132247335390989, + "learning_rate": 1.9934308720688024e-05, + "loss": 0.9186, + "step": 2777 + }, + { + "epoch": 0.07, + "grad_norm": 1.9628795686927587, + "learning_rate": 1.9934221374053538e-05, + "loss": 0.8729, + "step": 2778 + }, + { + "epoch": 0.07, + "grad_norm": 0.8012666786487114, + "learning_rate": 1.9934133969578875e-05, + "loss": 0.7501, + "step": 2779 + }, + { + "epoch": 0.07, + "grad_norm": 1.6110688068780834, + "learning_rate": 1.9934046507264537e-05, + "loss": 0.9138, + "step": 2780 + }, + { + "epoch": 0.07, + "grad_norm": 2.00780663473204, + "learning_rate": 1.9933958987111035e-05, + "loss": 0.7972, + "step": 2781 + }, + { + "epoch": 0.07, + "grad_norm": 1.6269025817300937, + "learning_rate": 1.993387140911888e-05, + "loss": 0.8953, + "step": 2782 + }, + { + "epoch": 0.07, + "grad_norm": 1.90703490498457, + "learning_rate": 1.993378377328858e-05, + "loss": 0.855, + "step": 2783 + }, + { + "epoch": 0.07, + "grad_norm": 1.6874358874328899, + "learning_rate": 1.9933696079620647e-05, + "loss": 0.9881, + "step": 2784 + }, + { + "epoch": 0.07, + "grad_norm": 3.304433339834436, + "learning_rate": 1.993360832811559e-05, + "loss": 0.919, + "step": 2785 + }, + { + "epoch": 0.07, + "grad_norm": 2.362710405008101, + "learning_rate": 1.993352051877392e-05, + "loss": 0.9843, + "step": 2786 + }, + { + "epoch": 0.07, + "grad_norm": 1.768381422709532, + "learning_rate": 1.9933432651596146e-05, + "loss": 0.8953, + "step": 2787 + }, + { + "epoch": 0.07, + "grad_norm": 2.1351827515256345, + "learning_rate": 1.9933344726582787e-05, + "loss": 0.9395, + "step": 2788 + }, + { + "epoch": 0.07, + "grad_norm": 1.7351855737386093, + "learning_rate": 1.9933256743734346e-05, + "loss": 0.8924, + "step": 2789 + }, + { + "epoch": 0.07, + "grad_norm": 2.0004630334680575, + "learning_rate": 1.9933168703051343e-05, + "loss": 0.9319, + "step": 2790 + }, + { + "epoch": 0.07, + "grad_norm": 1.610917385936561, + "learning_rate": 1.9933080604534285e-05, + "loss": 0.8812, + "step": 2791 + }, + { + "epoch": 0.07, + "grad_norm": 1.4938396166430625, + "learning_rate": 1.9932992448183688e-05, + "loss": 0.8988, + "step": 2792 + }, + { + "epoch": 0.07, + "grad_norm": 1.987860795760558, + "learning_rate": 1.9932904234000063e-05, + "loss": 0.9693, + "step": 2793 + }, + { + "epoch": 0.07, + "grad_norm": 1.6739093458337335, + "learning_rate": 1.9932815961983925e-05, + "loss": 0.8704, + "step": 2794 + }, + { + "epoch": 0.07, + "grad_norm": 0.8027741242591969, + "learning_rate": 1.993272763213579e-05, + "loss": 0.7195, + "step": 2795 + }, + { + "epoch": 0.07, + "grad_norm": 1.9841572782043286, + "learning_rate": 1.9932639244456165e-05, + "loss": 0.8252, + "step": 2796 + }, + { + "epoch": 0.07, + "grad_norm": 1.6761592877838718, + "learning_rate": 1.9932550798945575e-05, + "loss": 0.9328, + "step": 2797 + }, + { + "epoch": 0.07, + "grad_norm": 1.6102347252598566, + "learning_rate": 1.9932462295604526e-05, + "loss": 0.8002, + "step": 2798 + }, + { + "epoch": 0.07, + "grad_norm": 1.7347101551422364, + "learning_rate": 1.993237373443354e-05, + "loss": 0.8875, + "step": 2799 + }, + { + "epoch": 0.07, + "grad_norm": 2.2073688236650533, + "learning_rate": 1.9932285115433126e-05, + "loss": 0.991, + "step": 2800 + }, + { + "epoch": 0.07, + "grad_norm": 1.6069486736724825, + "learning_rate": 1.9932196438603805e-05, + "loss": 0.9003, + "step": 2801 + }, + { + "epoch": 0.07, + "grad_norm": 3.0550734599571023, + "learning_rate": 1.993210770394609e-05, + "loss": 1.0853, + "step": 2802 + }, + { + "epoch": 0.07, + "grad_norm": 1.973658125583869, + "learning_rate": 1.9932018911460503e-05, + "loss": 0.8685, + "step": 2803 + }, + { + "epoch": 0.07, + "grad_norm": 1.8444968523121215, + "learning_rate": 1.9931930061147556e-05, + "loss": 0.9439, + "step": 2804 + }, + { + "epoch": 0.07, + "grad_norm": 1.872777816406285, + "learning_rate": 1.993184115300777e-05, + "loss": 1.0561, + "step": 2805 + }, + { + "epoch": 0.07, + "grad_norm": 1.819356179067175, + "learning_rate": 1.993175218704166e-05, + "loss": 0.9634, + "step": 2806 + }, + { + "epoch": 0.07, + "grad_norm": 1.8318945424091273, + "learning_rate": 1.9931663163249744e-05, + "loss": 0.858, + "step": 2807 + }, + { + "epoch": 0.07, + "grad_norm": 0.7553743386322214, + "learning_rate": 1.993157408163254e-05, + "loss": 0.7152, + "step": 2808 + }, + { + "epoch": 0.07, + "grad_norm": 1.7534901415845516, + "learning_rate": 1.9931484942190567e-05, + "loss": 0.8519, + "step": 2809 + }, + { + "epoch": 0.07, + "grad_norm": 1.8108895904416953, + "learning_rate": 1.9931395744924345e-05, + "loss": 0.973, + "step": 2810 + }, + { + "epoch": 0.07, + "grad_norm": 1.5518192615527235, + "learning_rate": 1.993130648983439e-05, + "loss": 0.97, + "step": 2811 + }, + { + "epoch": 0.07, + "grad_norm": 1.813747663640297, + "learning_rate": 1.9931217176921228e-05, + "loss": 1.0233, + "step": 2812 + }, + { + "epoch": 0.07, + "grad_norm": 0.8046420360143054, + "learning_rate": 1.9931127806185376e-05, + "loss": 0.6838, + "step": 2813 + }, + { + "epoch": 0.07, + "grad_norm": 0.7484236200680445, + "learning_rate": 1.993103837762735e-05, + "loss": 0.7183, + "step": 2814 + }, + { + "epoch": 0.07, + "grad_norm": 3.21533066081356, + "learning_rate": 1.9930948891247678e-05, + "loss": 0.7671, + "step": 2815 + }, + { + "epoch": 0.07, + "grad_norm": 1.6585659851414625, + "learning_rate": 1.9930859347046875e-05, + "loss": 0.9798, + "step": 2816 + }, + { + "epoch": 0.07, + "grad_norm": 1.724171497189037, + "learning_rate": 1.9930769745025468e-05, + "loss": 0.9095, + "step": 2817 + }, + { + "epoch": 0.07, + "grad_norm": 2.200979422995338, + "learning_rate": 1.993068008518397e-05, + "loss": 1.0584, + "step": 2818 + }, + { + "epoch": 0.07, + "grad_norm": 1.5834889477931147, + "learning_rate": 1.993059036752291e-05, + "loss": 0.899, + "step": 2819 + }, + { + "epoch": 0.07, + "grad_norm": 1.7231084364001934, + "learning_rate": 1.9930500592042815e-05, + "loss": 0.975, + "step": 2820 + }, + { + "epoch": 0.07, + "grad_norm": 1.7423343419654151, + "learning_rate": 1.9930410758744195e-05, + "loss": 0.865, + "step": 2821 + }, + { + "epoch": 0.07, + "grad_norm": 1.5489574226723655, + "learning_rate": 1.9930320867627584e-05, + "loss": 0.8746, + "step": 2822 + }, + { + "epoch": 0.07, + "grad_norm": 1.7135787864876253, + "learning_rate": 1.99302309186935e-05, + "loss": 0.9558, + "step": 2823 + }, + { + "epoch": 0.07, + "grad_norm": 1.7868948004936374, + "learning_rate": 1.9930140911942465e-05, + "loss": 0.9229, + "step": 2824 + }, + { + "epoch": 0.07, + "grad_norm": 1.7127812265430735, + "learning_rate": 1.993005084737501e-05, + "loss": 0.8519, + "step": 2825 + }, + { + "epoch": 0.07, + "grad_norm": 1.9953384835095245, + "learning_rate": 1.9929960724991652e-05, + "loss": 0.896, + "step": 2826 + }, + { + "epoch": 0.07, + "grad_norm": 0.783666756092239, + "learning_rate": 1.9929870544792918e-05, + "loss": 0.7544, + "step": 2827 + }, + { + "epoch": 0.07, + "grad_norm": 0.8359004244098514, + "learning_rate": 1.9929780306779337e-05, + "loss": 0.7297, + "step": 2828 + }, + { + "epoch": 0.07, + "grad_norm": 1.615605867310219, + "learning_rate": 1.9929690010951427e-05, + "loss": 0.8458, + "step": 2829 + }, + { + "epoch": 0.07, + "grad_norm": 1.5763780520585187, + "learning_rate": 1.992959965730972e-05, + "loss": 0.902, + "step": 2830 + }, + { + "epoch": 0.07, + "grad_norm": 1.619468856043281, + "learning_rate": 1.9929509245854743e-05, + "loss": 0.8954, + "step": 2831 + }, + { + "epoch": 0.07, + "grad_norm": 1.6542181036161296, + "learning_rate": 1.9929418776587018e-05, + "loss": 0.9478, + "step": 2832 + }, + { + "epoch": 0.07, + "grad_norm": 1.7694369264087098, + "learning_rate": 1.9929328249507072e-05, + "loss": 0.9778, + "step": 2833 + }, + { + "epoch": 0.07, + "grad_norm": 1.7723840574827034, + "learning_rate": 1.9929237664615434e-05, + "loss": 0.8165, + "step": 2834 + }, + { + "epoch": 0.07, + "grad_norm": 1.6594329262751053, + "learning_rate": 1.992914702191263e-05, + "loss": 0.8859, + "step": 2835 + }, + { + "epoch": 0.07, + "grad_norm": 2.05520598683237, + "learning_rate": 1.9929056321399193e-05, + "loss": 0.9246, + "step": 2836 + }, + { + "epoch": 0.07, + "grad_norm": 2.4184185584021685, + "learning_rate": 1.992896556307564e-05, + "loss": 0.895, + "step": 2837 + }, + { + "epoch": 0.07, + "grad_norm": 1.9976637079787938, + "learning_rate": 1.992887474694251e-05, + "loss": 0.8359, + "step": 2838 + }, + { + "epoch": 0.07, + "grad_norm": 1.5675096424503758, + "learning_rate": 1.992878387300033e-05, + "loss": 0.8799, + "step": 2839 + }, + { + "epoch": 0.07, + "grad_norm": 1.7188235333376622, + "learning_rate": 1.992869294124962e-05, + "loss": 1.0308, + "step": 2840 + }, + { + "epoch": 0.07, + "grad_norm": 1.716808117117978, + "learning_rate": 1.9928601951690922e-05, + "loss": 1.0173, + "step": 2841 + }, + { + "epoch": 0.07, + "grad_norm": 1.8516154748821856, + "learning_rate": 1.992851090432476e-05, + "loss": 0.9066, + "step": 2842 + }, + { + "epoch": 0.07, + "grad_norm": 2.082826933220313, + "learning_rate": 1.9928419799151658e-05, + "loss": 0.8592, + "step": 2843 + }, + { + "epoch": 0.07, + "grad_norm": 0.7737385908516864, + "learning_rate": 1.992832863617216e-05, + "loss": 0.7244, + "step": 2844 + }, + { + "epoch": 0.07, + "grad_norm": 1.567900310891296, + "learning_rate": 1.9928237415386785e-05, + "loss": 0.8605, + "step": 2845 + }, + { + "epoch": 0.07, + "grad_norm": 1.843893401478077, + "learning_rate": 1.992814613679607e-05, + "loss": 1.0477, + "step": 2846 + }, + { + "epoch": 0.07, + "grad_norm": 1.8235460446649145, + "learning_rate": 1.992805480040055e-05, + "loss": 0.8961, + "step": 2847 + }, + { + "epoch": 0.07, + "grad_norm": 1.6904694165073915, + "learning_rate": 1.9927963406200743e-05, + "loss": 1.081, + "step": 2848 + }, + { + "epoch": 0.07, + "grad_norm": 1.647118131297698, + "learning_rate": 1.9927871954197194e-05, + "loss": 0.9232, + "step": 2849 + }, + { + "epoch": 0.07, + "grad_norm": 2.176905248473648, + "learning_rate": 1.9927780444390433e-05, + "loss": 0.8918, + "step": 2850 + }, + { + "epoch": 0.07, + "grad_norm": 1.8355648466599555, + "learning_rate": 1.9927688876780988e-05, + "loss": 0.9137, + "step": 2851 + }, + { + "epoch": 0.07, + "grad_norm": 1.5928366598896357, + "learning_rate": 1.9927597251369398e-05, + "loss": 0.9097, + "step": 2852 + }, + { + "epoch": 0.07, + "grad_norm": 1.6882507316847335, + "learning_rate": 1.992750556815619e-05, + "loss": 0.8558, + "step": 2853 + }, + { + "epoch": 0.07, + "grad_norm": 1.651720198284002, + "learning_rate": 1.9927413827141904e-05, + "loss": 0.8717, + "step": 2854 + }, + { + "epoch": 0.07, + "grad_norm": 1.5806750831777487, + "learning_rate": 1.9927322028327074e-05, + "loss": 0.936, + "step": 2855 + }, + { + "epoch": 0.07, + "grad_norm": 1.9223897496480369, + "learning_rate": 1.992723017171223e-05, + "loss": 0.8615, + "step": 2856 + }, + { + "epoch": 0.07, + "grad_norm": 2.188025075109989, + "learning_rate": 1.9927138257297908e-05, + "loss": 0.9881, + "step": 2857 + }, + { + "epoch": 0.07, + "grad_norm": 1.6998500013350726, + "learning_rate": 1.9927046285084642e-05, + "loss": 0.9509, + "step": 2858 + }, + { + "epoch": 0.07, + "grad_norm": 1.684353750171474, + "learning_rate": 1.9926954255072976e-05, + "loss": 0.8485, + "step": 2859 + }, + { + "epoch": 0.07, + "grad_norm": 1.7628861680124779, + "learning_rate": 1.9926862167263437e-05, + "loss": 0.864, + "step": 2860 + }, + { + "epoch": 0.07, + "grad_norm": 1.8151692103508261, + "learning_rate": 1.9926770021656564e-05, + "loss": 0.9377, + "step": 2861 + }, + { + "epoch": 0.07, + "grad_norm": 1.7550921485425204, + "learning_rate": 1.992667781825289e-05, + "loss": 0.8841, + "step": 2862 + }, + { + "epoch": 0.07, + "grad_norm": 1.6909389992480683, + "learning_rate": 1.9926585557052958e-05, + "loss": 0.8395, + "step": 2863 + }, + { + "epoch": 0.07, + "grad_norm": 1.5912803490181375, + "learning_rate": 1.99264932380573e-05, + "loss": 1.029, + "step": 2864 + }, + { + "epoch": 0.07, + "grad_norm": 1.7802384174976942, + "learning_rate": 1.9926400861266458e-05, + "loss": 0.9425, + "step": 2865 + }, + { + "epoch": 0.07, + "grad_norm": 1.6232334682522513, + "learning_rate": 1.9926308426680966e-05, + "loss": 0.9507, + "step": 2866 + }, + { + "epoch": 0.07, + "grad_norm": 2.2663707502125856, + "learning_rate": 1.9926215934301366e-05, + "loss": 0.8963, + "step": 2867 + }, + { + "epoch": 0.07, + "grad_norm": 1.677840082033975, + "learning_rate": 1.992612338412819e-05, + "loss": 1.0072, + "step": 2868 + }, + { + "epoch": 0.07, + "grad_norm": 1.560317196403694, + "learning_rate": 1.9926030776161986e-05, + "loss": 0.9345, + "step": 2869 + }, + { + "epoch": 0.07, + "grad_norm": 2.037258813521511, + "learning_rate": 1.9925938110403286e-05, + "loss": 0.9184, + "step": 2870 + }, + { + "epoch": 0.07, + "grad_norm": 1.6575133020321258, + "learning_rate": 1.992584538685263e-05, + "loss": 0.9706, + "step": 2871 + }, + { + "epoch": 0.07, + "grad_norm": 0.7744599904817536, + "learning_rate": 1.9925752605510566e-05, + "loss": 0.7909, + "step": 2872 + }, + { + "epoch": 0.07, + "grad_norm": 2.7466700131629707, + "learning_rate": 1.9925659766377622e-05, + "loss": 0.9049, + "step": 2873 + }, + { + "epoch": 0.07, + "grad_norm": 1.6181984678093135, + "learning_rate": 1.9925566869454345e-05, + "loss": 0.8412, + "step": 2874 + }, + { + "epoch": 0.07, + "grad_norm": 2.100122525333537, + "learning_rate": 1.9925473914741275e-05, + "loss": 1.0597, + "step": 2875 + }, + { + "epoch": 0.07, + "grad_norm": 1.701194007032378, + "learning_rate": 1.9925380902238956e-05, + "loss": 0.8519, + "step": 2876 + }, + { + "epoch": 0.07, + "grad_norm": 2.132297905559653, + "learning_rate": 1.9925287831947922e-05, + "loss": 0.9366, + "step": 2877 + }, + { + "epoch": 0.07, + "grad_norm": 2.0442771657175065, + "learning_rate": 1.9925194703868727e-05, + "loss": 0.918, + "step": 2878 + }, + { + "epoch": 0.07, + "grad_norm": 1.9470679127828772, + "learning_rate": 1.99251015180019e-05, + "loss": 0.7434, + "step": 2879 + }, + { + "epoch": 0.07, + "grad_norm": 1.5956726229981724, + "learning_rate": 1.9925008274347993e-05, + "loss": 0.7745, + "step": 2880 + }, + { + "epoch": 0.07, + "grad_norm": 2.2678428646759476, + "learning_rate": 1.9924914972907547e-05, + "loss": 0.9165, + "step": 2881 + }, + { + "epoch": 0.07, + "grad_norm": 1.6772214685739586, + "learning_rate": 1.9924821613681103e-05, + "loss": 0.9864, + "step": 2882 + }, + { + "epoch": 0.07, + "grad_norm": 1.6738550502601748, + "learning_rate": 1.9924728196669205e-05, + "loss": 0.8779, + "step": 2883 + }, + { + "epoch": 0.07, + "grad_norm": 1.4576595663646084, + "learning_rate": 1.9924634721872396e-05, + "loss": 0.9201, + "step": 2884 + }, + { + "epoch": 0.07, + "grad_norm": 1.716998332270218, + "learning_rate": 1.992454118929122e-05, + "loss": 0.8976, + "step": 2885 + }, + { + "epoch": 0.07, + "grad_norm": 2.2969346056199758, + "learning_rate": 1.9924447598926227e-05, + "loss": 0.8773, + "step": 2886 + }, + { + "epoch": 0.07, + "grad_norm": 1.7808020894482386, + "learning_rate": 1.9924353950777956e-05, + "loss": 1.0995, + "step": 2887 + }, + { + "epoch": 0.07, + "grad_norm": 1.6548714350041729, + "learning_rate": 1.9924260244846954e-05, + "loss": 0.9982, + "step": 2888 + }, + { + "epoch": 0.07, + "grad_norm": 1.544824808235642, + "learning_rate": 1.9924166481133767e-05, + "loss": 0.9645, + "step": 2889 + }, + { + "epoch": 0.07, + "grad_norm": 1.9736092944934702, + "learning_rate": 1.9924072659638944e-05, + "loss": 0.9296, + "step": 2890 + }, + { + "epoch": 0.07, + "grad_norm": 1.8666909880522773, + "learning_rate": 1.9923978780363025e-05, + "loss": 0.7495, + "step": 2891 + }, + { + "epoch": 0.07, + "grad_norm": 1.7073761488733334, + "learning_rate": 1.992388484330656e-05, + "loss": 0.9355, + "step": 2892 + }, + { + "epoch": 0.07, + "grad_norm": 1.8331123510962564, + "learning_rate": 1.9923790848470098e-05, + "loss": 0.9404, + "step": 2893 + }, + { + "epoch": 0.07, + "grad_norm": 2.134696394295874, + "learning_rate": 1.992369679585418e-05, + "loss": 0.8551, + "step": 2894 + }, + { + "epoch": 0.07, + "grad_norm": 1.6829084483569487, + "learning_rate": 1.992360268545936e-05, + "loss": 0.9746, + "step": 2895 + }, + { + "epoch": 0.07, + "grad_norm": 1.7062471817139009, + "learning_rate": 1.992350851728618e-05, + "loss": 0.9307, + "step": 2896 + }, + { + "epoch": 0.07, + "grad_norm": 1.7821984396472783, + "learning_rate": 1.9923414291335198e-05, + "loss": 0.961, + "step": 2897 + }, + { + "epoch": 0.07, + "grad_norm": 1.8342582566656558, + "learning_rate": 1.992332000760695e-05, + "loss": 0.8385, + "step": 2898 + }, + { + "epoch": 0.07, + "grad_norm": 1.6524251066110975, + "learning_rate": 1.9923225666101994e-05, + "loss": 1.018, + "step": 2899 + }, + { + "epoch": 0.07, + "grad_norm": 2.7286313066726455, + "learning_rate": 1.9923131266820878e-05, + "loss": 0.8752, + "step": 2900 + }, + { + "epoch": 0.07, + "grad_norm": 1.5513426471469, + "learning_rate": 1.9923036809764145e-05, + "loss": 0.9411, + "step": 2901 + }, + { + "epoch": 0.07, + "grad_norm": 1.8482499872196199, + "learning_rate": 1.9922942294932356e-05, + "loss": 0.9664, + "step": 2902 + }, + { + "epoch": 0.07, + "grad_norm": 1.6250573424534638, + "learning_rate": 1.9922847722326052e-05, + "loss": 1.0924, + "step": 2903 + }, + { + "epoch": 0.07, + "grad_norm": 1.6542377027501036, + "learning_rate": 1.992275309194579e-05, + "loss": 1.0262, + "step": 2904 + }, + { + "epoch": 0.07, + "grad_norm": 1.8520972742536532, + "learning_rate": 1.9922658403792115e-05, + "loss": 0.9372, + "step": 2905 + }, + { + "epoch": 0.07, + "grad_norm": 1.6327528638578115, + "learning_rate": 1.9922563657865584e-05, + "loss": 0.9977, + "step": 2906 + }, + { + "epoch": 0.07, + "grad_norm": 1.8418332547117318, + "learning_rate": 1.9922468854166744e-05, + "loss": 0.8722, + "step": 2907 + }, + { + "epoch": 0.07, + "grad_norm": 1.6803488567757254, + "learning_rate": 1.9922373992696146e-05, + "loss": 0.9712, + "step": 2908 + }, + { + "epoch": 0.07, + "grad_norm": 1.6207758296608423, + "learning_rate": 1.992227907345435e-05, + "loss": 0.9658, + "step": 2909 + }, + { + "epoch": 0.07, + "grad_norm": 1.5693744095270155, + "learning_rate": 1.9922184096441904e-05, + "loss": 0.8982, + "step": 2910 + }, + { + "epoch": 0.07, + "grad_norm": 0.7973354470740794, + "learning_rate": 1.992208906165936e-05, + "loss": 0.735, + "step": 2911 + }, + { + "epoch": 0.07, + "grad_norm": 1.6969833960393335, + "learning_rate": 1.992199396910727e-05, + "loss": 0.9546, + "step": 2912 + }, + { + "epoch": 0.07, + "grad_norm": 1.7437976120943564, + "learning_rate": 1.992189881878619e-05, + "loss": 0.9127, + "step": 2913 + }, + { + "epoch": 0.07, + "grad_norm": 1.8259012344469678, + "learning_rate": 1.9921803610696675e-05, + "loss": 1.0348, + "step": 2914 + }, + { + "epoch": 0.07, + "grad_norm": 1.6192548742295951, + "learning_rate": 1.992170834483928e-05, + "loss": 0.8122, + "step": 2915 + }, + { + "epoch": 0.07, + "grad_norm": 2.5110517290130767, + "learning_rate": 1.9921613021214555e-05, + "loss": 0.9393, + "step": 2916 + }, + { + "epoch": 0.07, + "grad_norm": 2.026007936384917, + "learning_rate": 1.992151763982306e-05, + "loss": 0.8585, + "step": 2917 + }, + { + "epoch": 0.07, + "grad_norm": 1.6603872542036218, + "learning_rate": 1.9921422200665347e-05, + "loss": 0.9595, + "step": 2918 + }, + { + "epoch": 0.07, + "grad_norm": 1.663143095167143, + "learning_rate": 1.9921326703741976e-05, + "loss": 0.9443, + "step": 2919 + }, + { + "epoch": 0.07, + "grad_norm": 2.2966919892042506, + "learning_rate": 1.9921231149053495e-05, + "loss": 0.8261, + "step": 2920 + }, + { + "epoch": 0.07, + "grad_norm": 1.692403064011326, + "learning_rate": 1.9921135536600465e-05, + "loss": 0.9304, + "step": 2921 + }, + { + "epoch": 0.07, + "grad_norm": 1.6061089214391642, + "learning_rate": 1.9921039866383447e-05, + "loss": 0.8306, + "step": 2922 + }, + { + "epoch": 0.07, + "grad_norm": 1.5585826423024836, + "learning_rate": 1.9920944138402993e-05, + "loss": 0.7234, + "step": 2923 + }, + { + "epoch": 0.07, + "grad_norm": 1.6598173737721178, + "learning_rate": 1.9920848352659662e-05, + "loss": 0.9079, + "step": 2924 + }, + { + "epoch": 0.07, + "grad_norm": 1.9211729418499846, + "learning_rate": 1.9920752509154008e-05, + "loss": 0.8925, + "step": 2925 + }, + { + "epoch": 0.07, + "grad_norm": 1.9382033545011494, + "learning_rate": 1.992065660788659e-05, + "loss": 0.8279, + "step": 2926 + }, + { + "epoch": 0.07, + "grad_norm": 1.7150551192964016, + "learning_rate": 1.9920560648857976e-05, + "loss": 0.9021, + "step": 2927 + }, + { + "epoch": 0.07, + "grad_norm": 1.440693516270277, + "learning_rate": 1.9920464632068713e-05, + "loss": 0.9084, + "step": 2928 + }, + { + "epoch": 0.07, + "grad_norm": 1.9518411903336956, + "learning_rate": 1.9920368557519362e-05, + "loss": 0.8999, + "step": 2929 + }, + { + "epoch": 0.07, + "grad_norm": 1.7347753491188993, + "learning_rate": 1.992027242521049e-05, + "loss": 0.7946, + "step": 2930 + }, + { + "epoch": 0.07, + "grad_norm": 1.6693617128536826, + "learning_rate": 1.9920176235142645e-05, + "loss": 0.9117, + "step": 2931 + }, + { + "epoch": 0.07, + "grad_norm": 1.836335422395093, + "learning_rate": 1.9920079987316398e-05, + "loss": 0.8668, + "step": 2932 + }, + { + "epoch": 0.07, + "grad_norm": 1.6791803700401957, + "learning_rate": 1.9919983681732302e-05, + "loss": 1.1103, + "step": 2933 + }, + { + "epoch": 0.07, + "grad_norm": 1.8003374480090761, + "learning_rate": 1.9919887318390923e-05, + "loss": 1.0023, + "step": 2934 + }, + { + "epoch": 0.07, + "grad_norm": 1.6041689465225508, + "learning_rate": 1.9919790897292817e-05, + "loss": 0.918, + "step": 2935 + }, + { + "epoch": 0.07, + "grad_norm": 0.7567952195296972, + "learning_rate": 1.9919694418438547e-05, + "loss": 0.6819, + "step": 2936 + }, + { + "epoch": 0.07, + "grad_norm": 1.6876800074988123, + "learning_rate": 1.9919597881828678e-05, + "loss": 0.9529, + "step": 2937 + }, + { + "epoch": 0.07, + "grad_norm": 1.694609224399657, + "learning_rate": 1.991950128746377e-05, + "loss": 0.9253, + "step": 2938 + }, + { + "epoch": 0.07, + "grad_norm": 1.509823376940806, + "learning_rate": 1.9919404635344383e-05, + "loss": 0.8571, + "step": 2939 + }, + { + "epoch": 0.07, + "grad_norm": 1.9943028121294823, + "learning_rate": 1.991930792547108e-05, + "loss": 0.9965, + "step": 2940 + }, + { + "epoch": 0.07, + "grad_norm": 2.463619642609269, + "learning_rate": 1.991921115784443e-05, + "loss": 0.8825, + "step": 2941 + }, + { + "epoch": 0.07, + "grad_norm": 0.742944003994143, + "learning_rate": 1.9919114332464994e-05, + "loss": 0.7424, + "step": 2942 + }, + { + "epoch": 0.07, + "grad_norm": 1.7598103446192226, + "learning_rate": 1.991901744933333e-05, + "loss": 0.8879, + "step": 2943 + }, + { + "epoch": 0.07, + "grad_norm": 1.5268607262823413, + "learning_rate": 1.9918920508450003e-05, + "loss": 0.9366, + "step": 2944 + }, + { + "epoch": 0.07, + "grad_norm": 1.536762806946167, + "learning_rate": 1.9918823509815585e-05, + "loss": 0.9779, + "step": 2945 + }, + { + "epoch": 0.07, + "grad_norm": 1.6833249041187714, + "learning_rate": 1.9918726453430635e-05, + "loss": 0.9006, + "step": 2946 + }, + { + "epoch": 0.07, + "grad_norm": 1.4776086828273995, + "learning_rate": 1.9918629339295722e-05, + "loss": 0.9618, + "step": 2947 + }, + { + "epoch": 0.07, + "grad_norm": 1.9047090651916734, + "learning_rate": 1.9918532167411407e-05, + "loss": 0.7985, + "step": 2948 + }, + { + "epoch": 0.07, + "grad_norm": 1.8055160286834036, + "learning_rate": 1.991843493777826e-05, + "loss": 0.9842, + "step": 2949 + }, + { + "epoch": 0.07, + "grad_norm": 1.6439363646082463, + "learning_rate": 1.991833765039684e-05, + "loss": 0.9373, + "step": 2950 + }, + { + "epoch": 0.07, + "grad_norm": 1.687970237377557, + "learning_rate": 1.991824030526772e-05, + "loss": 0.8398, + "step": 2951 + }, + { + "epoch": 0.07, + "grad_norm": 1.9582430533830024, + "learning_rate": 1.9918142902391463e-05, + "loss": 1.0051, + "step": 2952 + }, + { + "epoch": 0.07, + "grad_norm": 1.8628311082702753, + "learning_rate": 1.9918045441768642e-05, + "loss": 0.8998, + "step": 2953 + }, + { + "epoch": 0.07, + "grad_norm": 1.5504395469509262, + "learning_rate": 1.9917947923399818e-05, + "loss": 0.9779, + "step": 2954 + }, + { + "epoch": 0.07, + "grad_norm": 1.7550141429046557, + "learning_rate": 1.9917850347285563e-05, + "loss": 0.9722, + "step": 2955 + }, + { + "epoch": 0.07, + "grad_norm": 1.6932913830738707, + "learning_rate": 1.9917752713426442e-05, + "loss": 0.8895, + "step": 2956 + }, + { + "epoch": 0.07, + "grad_norm": 0.8284715690465231, + "learning_rate": 1.9917655021823022e-05, + "loss": 0.7788, + "step": 2957 + }, + { + "epoch": 0.07, + "grad_norm": 1.6692764121447987, + "learning_rate": 1.991755727247588e-05, + "loss": 0.9361, + "step": 2958 + }, + { + "epoch": 0.07, + "grad_norm": 1.7456833498927427, + "learning_rate": 1.9917459465385578e-05, + "loss": 0.7659, + "step": 2959 + }, + { + "epoch": 0.07, + "grad_norm": 0.7940618403766911, + "learning_rate": 1.9917361600552685e-05, + "loss": 0.7062, + "step": 2960 + }, + { + "epoch": 0.07, + "grad_norm": 1.8194986263029382, + "learning_rate": 1.9917263677977773e-05, + "loss": 1.0282, + "step": 2961 + }, + { + "epoch": 0.07, + "grad_norm": 1.5579424783377644, + "learning_rate": 1.9917165697661415e-05, + "loss": 0.9102, + "step": 2962 + }, + { + "epoch": 0.07, + "grad_norm": 1.7175099754398981, + "learning_rate": 1.9917067659604176e-05, + "loss": 1.0654, + "step": 2963 + }, + { + "epoch": 0.07, + "grad_norm": 1.7873311628071522, + "learning_rate": 1.991696956380663e-05, + "loss": 0.9128, + "step": 2964 + }, + { + "epoch": 0.07, + "grad_norm": 1.4215004531301456, + "learning_rate": 1.991687141026935e-05, + "loss": 1.0685, + "step": 2965 + }, + { + "epoch": 0.07, + "grad_norm": 2.1052738261030046, + "learning_rate": 1.99167731989929e-05, + "loss": 0.9596, + "step": 2966 + }, + { + "epoch": 0.07, + "grad_norm": 1.7399069900438775, + "learning_rate": 1.991667492997786e-05, + "loss": 0.9593, + "step": 2967 + }, + { + "epoch": 0.07, + "grad_norm": 1.5406359454224317, + "learning_rate": 1.99165766032248e-05, + "loss": 0.9859, + "step": 2968 + }, + { + "epoch": 0.07, + "grad_norm": 1.605561784281452, + "learning_rate": 1.991647821873429e-05, + "loss": 0.9319, + "step": 2969 + }, + { + "epoch": 0.07, + "grad_norm": 1.7748217780371696, + "learning_rate": 1.9916379776506908e-05, + "loss": 0.935, + "step": 2970 + }, + { + "epoch": 0.07, + "grad_norm": 1.611417495875318, + "learning_rate": 1.9916281276543215e-05, + "loss": 0.8902, + "step": 2971 + }, + { + "epoch": 0.07, + "grad_norm": 1.7961774003327133, + "learning_rate": 1.99161827188438e-05, + "loss": 0.9365, + "step": 2972 + }, + { + "epoch": 0.07, + "grad_norm": 1.713961598639948, + "learning_rate": 1.9916084103409228e-05, + "loss": 0.8544, + "step": 2973 + }, + { + "epoch": 0.07, + "grad_norm": 3.1173287667628498, + "learning_rate": 1.9915985430240075e-05, + "loss": 0.8589, + "step": 2974 + }, + { + "epoch": 0.07, + "grad_norm": 1.5846337030485285, + "learning_rate": 1.9915886699336915e-05, + "loss": 0.8964, + "step": 2975 + }, + { + "epoch": 0.07, + "grad_norm": 1.7593502972803776, + "learning_rate": 1.9915787910700322e-05, + "loss": 1.0122, + "step": 2976 + }, + { + "epoch": 0.07, + "grad_norm": 0.7727429516830371, + "learning_rate": 1.9915689064330875e-05, + "loss": 0.774, + "step": 2977 + }, + { + "epoch": 0.07, + "grad_norm": 1.5561856530574254, + "learning_rate": 1.991559016022915e-05, + "loss": 0.937, + "step": 2978 + }, + { + "epoch": 0.07, + "grad_norm": 1.5614995050266285, + "learning_rate": 1.9915491198395714e-05, + "loss": 0.9168, + "step": 2979 + }, + { + "epoch": 0.07, + "grad_norm": 1.8093110533844332, + "learning_rate": 1.991539217883115e-05, + "loss": 0.9984, + "step": 2980 + }, + { + "epoch": 0.07, + "grad_norm": 1.9153321804521537, + "learning_rate": 1.991529310153603e-05, + "loss": 0.9956, + "step": 2981 + }, + { + "epoch": 0.07, + "grad_norm": 1.5915416311219643, + "learning_rate": 1.9915193966510945e-05, + "loss": 0.9303, + "step": 2982 + }, + { + "epoch": 0.07, + "grad_norm": 1.764953939137259, + "learning_rate": 1.9915094773756454e-05, + "loss": 0.9549, + "step": 2983 + }, + { + "epoch": 0.07, + "grad_norm": 1.769690324472486, + "learning_rate": 1.9914995523273144e-05, + "loss": 0.9917, + "step": 2984 + }, + { + "epoch": 0.07, + "grad_norm": 1.9610567728955253, + "learning_rate": 1.991489621506159e-05, + "loss": 0.9772, + "step": 2985 + }, + { + "epoch": 0.07, + "grad_norm": 2.033154261243621, + "learning_rate": 1.9914796849122374e-05, + "loss": 0.9591, + "step": 2986 + }, + { + "epoch": 0.07, + "grad_norm": 1.7527047039472339, + "learning_rate": 1.991469742545607e-05, + "loss": 1.0073, + "step": 2987 + }, + { + "epoch": 0.07, + "grad_norm": 2.0812257849693325, + "learning_rate": 1.9914597944063257e-05, + "loss": 0.8309, + "step": 2988 + }, + { + "epoch": 0.07, + "grad_norm": 1.8735976989486023, + "learning_rate": 1.991449840494452e-05, + "loss": 0.8684, + "step": 2989 + }, + { + "epoch": 0.07, + "grad_norm": 1.9803258738206362, + "learning_rate": 1.991439880810043e-05, + "loss": 1.1218, + "step": 2990 + }, + { + "epoch": 0.07, + "grad_norm": 2.743018518992278, + "learning_rate": 1.991429915353157e-05, + "loss": 0.8669, + "step": 2991 + }, + { + "epoch": 0.07, + "grad_norm": 2.452310458460812, + "learning_rate": 1.9914199441238528e-05, + "loss": 0.8891, + "step": 2992 + }, + { + "epoch": 0.07, + "grad_norm": 1.708723666758284, + "learning_rate": 1.9914099671221874e-05, + "loss": 0.9363, + "step": 2993 + }, + { + "epoch": 0.07, + "grad_norm": 1.5605942616329684, + "learning_rate": 1.9913999843482195e-05, + "loss": 0.9064, + "step": 2994 + }, + { + "epoch": 0.07, + "grad_norm": 2.5314673883739123, + "learning_rate": 1.9913899958020067e-05, + "loss": 0.979, + "step": 2995 + }, + { + "epoch": 0.07, + "grad_norm": 1.6847370197902338, + "learning_rate": 1.9913800014836076e-05, + "loss": 0.8607, + "step": 2996 + }, + { + "epoch": 0.07, + "grad_norm": 4.834104371568314, + "learning_rate": 1.9913700013930804e-05, + "loss": 0.9625, + "step": 2997 + }, + { + "epoch": 0.07, + "grad_norm": 1.6414044947905044, + "learning_rate": 1.991359995530483e-05, + "loss": 1.0555, + "step": 2998 + }, + { + "epoch": 0.07, + "grad_norm": 2.21133302777878, + "learning_rate": 1.991349983895874e-05, + "loss": 0.9998, + "step": 2999 + }, + { + "epoch": 0.07, + "grad_norm": 1.7364607384768909, + "learning_rate": 1.9913399664893113e-05, + "loss": 0.8773, + "step": 3000 + }, + { + "epoch": 0.07, + "grad_norm": 1.764371611255586, + "learning_rate": 1.991329943310854e-05, + "loss": 0.9064, + "step": 3001 + }, + { + "epoch": 0.07, + "grad_norm": 1.6322978536179407, + "learning_rate": 1.9913199143605595e-05, + "loss": 0.9445, + "step": 3002 + }, + { + "epoch": 0.07, + "grad_norm": 1.7368941953727506, + "learning_rate": 1.9913098796384865e-05, + "loss": 0.9551, + "step": 3003 + }, + { + "epoch": 0.07, + "grad_norm": 1.7434673639170892, + "learning_rate": 1.991299839144694e-05, + "loss": 0.9968, + "step": 3004 + }, + { + "epoch": 0.07, + "grad_norm": 0.7763702060570304, + "learning_rate": 1.9912897928792395e-05, + "loss": 0.7578, + "step": 3005 + }, + { + "epoch": 0.07, + "grad_norm": 1.6027149496777042, + "learning_rate": 1.9912797408421823e-05, + "loss": 0.9884, + "step": 3006 + }, + { + "epoch": 0.07, + "grad_norm": 1.6702661144484519, + "learning_rate": 1.9912696830335806e-05, + "loss": 0.9487, + "step": 3007 + }, + { + "epoch": 0.07, + "grad_norm": 1.84212205056382, + "learning_rate": 1.991259619453493e-05, + "loss": 1.0303, + "step": 3008 + }, + { + "epoch": 0.07, + "grad_norm": 2.092119293346054, + "learning_rate": 1.9912495501019777e-05, + "loss": 0.9704, + "step": 3009 + }, + { + "epoch": 0.07, + "grad_norm": 1.6942762538026808, + "learning_rate": 1.9912394749790942e-05, + "loss": 0.9025, + "step": 3010 + }, + { + "epoch": 0.07, + "grad_norm": 2.0865852990257916, + "learning_rate": 1.9912293940849002e-05, + "loss": 1.0052, + "step": 3011 + }, + { + "epoch": 0.07, + "grad_norm": 1.9138946551146914, + "learning_rate": 1.991219307419455e-05, + "loss": 0.8965, + "step": 3012 + }, + { + "epoch": 0.07, + "grad_norm": 2.5265399455178725, + "learning_rate": 1.9912092149828175e-05, + "loss": 0.8656, + "step": 3013 + }, + { + "epoch": 0.07, + "grad_norm": 1.8771952953296034, + "learning_rate": 1.9911991167750458e-05, + "loss": 0.8265, + "step": 3014 + }, + { + "epoch": 0.07, + "grad_norm": 0.7734889257724066, + "learning_rate": 1.9911890127961993e-05, + "loss": 0.6855, + "step": 3015 + }, + { + "epoch": 0.07, + "grad_norm": 1.8059612394406694, + "learning_rate": 1.991178903046336e-05, + "loss": 0.9808, + "step": 3016 + }, + { + "epoch": 0.07, + "grad_norm": 1.7033747333545788, + "learning_rate": 1.991168787525516e-05, + "loss": 0.8467, + "step": 3017 + }, + { + "epoch": 0.07, + "grad_norm": 1.5808871416734411, + "learning_rate": 1.991158666233797e-05, + "loss": 0.8505, + "step": 3018 + }, + { + "epoch": 0.07, + "grad_norm": 1.570926569287238, + "learning_rate": 1.991148539171239e-05, + "loss": 1.0033, + "step": 3019 + }, + { + "epoch": 0.07, + "grad_norm": 0.7957125984881429, + "learning_rate": 1.9911384063378996e-05, + "loss": 0.8007, + "step": 3020 + }, + { + "epoch": 0.07, + "grad_norm": 1.7359644633170423, + "learning_rate": 1.9911282677338395e-05, + "loss": 0.9005, + "step": 3021 + }, + { + "epoch": 0.07, + "grad_norm": 1.8282412477448833, + "learning_rate": 1.9911181233591163e-05, + "loss": 0.8278, + "step": 3022 + }, + { + "epoch": 0.07, + "grad_norm": 1.6905887806155044, + "learning_rate": 1.9911079732137897e-05, + "loss": 0.9391, + "step": 3023 + }, + { + "epoch": 0.07, + "grad_norm": 1.785379980534765, + "learning_rate": 1.9910978172979187e-05, + "loss": 1.0744, + "step": 3024 + }, + { + "epoch": 0.07, + "grad_norm": 1.588327746317903, + "learning_rate": 1.9910876556115626e-05, + "loss": 0.9163, + "step": 3025 + }, + { + "epoch": 0.07, + "grad_norm": 2.325078514728225, + "learning_rate": 1.9910774881547803e-05, + "loss": 0.9225, + "step": 3026 + }, + { + "epoch": 0.07, + "grad_norm": 1.8322671687394703, + "learning_rate": 1.9910673149276308e-05, + "loss": 0.9699, + "step": 3027 + }, + { + "epoch": 0.07, + "grad_norm": 1.7113000169846542, + "learning_rate": 1.991057135930174e-05, + "loss": 0.8887, + "step": 3028 + }, + { + "epoch": 0.07, + "grad_norm": 0.8075930521411957, + "learning_rate": 1.991046951162469e-05, + "loss": 0.7311, + "step": 3029 + }, + { + "epoch": 0.07, + "grad_norm": 1.8359513410974808, + "learning_rate": 1.9910367606245744e-05, + "loss": 0.854, + "step": 3030 + }, + { + "epoch": 0.07, + "grad_norm": 2.2806986604899486, + "learning_rate": 1.9910265643165502e-05, + "loss": 1.0189, + "step": 3031 + }, + { + "epoch": 0.07, + "grad_norm": 1.6932192369111334, + "learning_rate": 1.9910163622384556e-05, + "loss": 0.8483, + "step": 3032 + }, + { + "epoch": 0.07, + "grad_norm": 2.8899055167603267, + "learning_rate": 1.9910061543903502e-05, + "loss": 0.9057, + "step": 3033 + }, + { + "epoch": 0.07, + "grad_norm": 2.1902180547718078, + "learning_rate": 1.9909959407722926e-05, + "loss": 0.9278, + "step": 3034 + }, + { + "epoch": 0.07, + "grad_norm": 1.856641857708418, + "learning_rate": 1.990985721384343e-05, + "loss": 0.8786, + "step": 3035 + }, + { + "epoch": 0.07, + "grad_norm": 1.8795656945849015, + "learning_rate": 1.9909754962265615e-05, + "loss": 1.0026, + "step": 3036 + }, + { + "epoch": 0.07, + "grad_norm": 1.7036957509327604, + "learning_rate": 1.9909652652990065e-05, + "loss": 0.9992, + "step": 3037 + }, + { + "epoch": 0.07, + "grad_norm": 0.7953465391943703, + "learning_rate": 1.990955028601738e-05, + "loss": 0.8043, + "step": 3038 + }, + { + "epoch": 0.07, + "grad_norm": 2.648164911623766, + "learning_rate": 1.9909447861348154e-05, + "loss": 1.0302, + "step": 3039 + }, + { + "epoch": 0.07, + "grad_norm": 1.8898910216893139, + "learning_rate": 1.9909345378982987e-05, + "loss": 1.0211, + "step": 3040 + }, + { + "epoch": 0.07, + "grad_norm": 2.035360030952564, + "learning_rate": 1.9909242838922472e-05, + "loss": 0.8927, + "step": 3041 + }, + { + "epoch": 0.07, + "grad_norm": 2.1406032537113635, + "learning_rate": 1.9909140241167212e-05, + "loss": 1.0021, + "step": 3042 + }, + { + "epoch": 0.07, + "grad_norm": 1.8277701660343049, + "learning_rate": 1.99090375857178e-05, + "loss": 0.8557, + "step": 3043 + }, + { + "epoch": 0.07, + "grad_norm": 1.584551859585783, + "learning_rate": 1.990893487257483e-05, + "loss": 0.9287, + "step": 3044 + }, + { + "epoch": 0.07, + "grad_norm": 2.023784830525438, + "learning_rate": 1.990883210173891e-05, + "loss": 0.8084, + "step": 3045 + }, + { + "epoch": 0.07, + "grad_norm": 1.8679707182242302, + "learning_rate": 1.9908729273210627e-05, + "loss": 0.9574, + "step": 3046 + }, + { + "epoch": 0.07, + "grad_norm": 1.7633818573465427, + "learning_rate": 1.9908626386990586e-05, + "loss": 0.8022, + "step": 3047 + }, + { + "epoch": 0.07, + "grad_norm": 1.7356093077710624, + "learning_rate": 1.9908523443079384e-05, + "loss": 1.0317, + "step": 3048 + }, + { + "epoch": 0.07, + "grad_norm": 0.7323371004077949, + "learning_rate": 1.9908420441477626e-05, + "loss": 0.724, + "step": 3049 + }, + { + "epoch": 0.07, + "grad_norm": 1.8208195481288418, + "learning_rate": 1.9908317382185904e-05, + "loss": 0.9454, + "step": 3050 + }, + { + "epoch": 0.07, + "grad_norm": 1.6321748190132344, + "learning_rate": 1.9908214265204825e-05, + "loss": 0.8188, + "step": 3051 + }, + { + "epoch": 0.07, + "grad_norm": 1.9670041150249995, + "learning_rate": 1.990811109053498e-05, + "loss": 0.9133, + "step": 3052 + }, + { + "epoch": 0.07, + "grad_norm": 1.846208555850161, + "learning_rate": 1.990800785817698e-05, + "loss": 1.0303, + "step": 3053 + }, + { + "epoch": 0.07, + "grad_norm": 2.2817861418237224, + "learning_rate": 1.990790456813142e-05, + "loss": 0.7955, + "step": 3054 + }, + { + "epoch": 0.07, + "grad_norm": 1.5158632677753656, + "learning_rate": 1.99078012203989e-05, + "loss": 0.9339, + "step": 3055 + }, + { + "epoch": 0.07, + "grad_norm": 1.748576098718806, + "learning_rate": 1.9907697814980025e-05, + "loss": 0.9295, + "step": 3056 + }, + { + "epoch": 0.07, + "grad_norm": 2.685530703810208, + "learning_rate": 1.9907594351875402e-05, + "loss": 0.9064, + "step": 3057 + }, + { + "epoch": 0.07, + "grad_norm": 1.6800525026816666, + "learning_rate": 1.9907490831085626e-05, + "loss": 1.0204, + "step": 3058 + }, + { + "epoch": 0.07, + "grad_norm": 2.011602098620982, + "learning_rate": 1.99073872526113e-05, + "loss": 0.9581, + "step": 3059 + }, + { + "epoch": 0.07, + "grad_norm": 1.902695795254145, + "learning_rate": 1.9907283616453027e-05, + "loss": 0.9107, + "step": 3060 + }, + { + "epoch": 0.07, + "grad_norm": 2.01404972776501, + "learning_rate": 1.9907179922611414e-05, + "loss": 0.8866, + "step": 3061 + }, + { + "epoch": 0.07, + "grad_norm": 1.8530386478188594, + "learning_rate": 1.9907076171087064e-05, + "loss": 0.8653, + "step": 3062 + }, + { + "epoch": 0.07, + "grad_norm": 2.013043326976345, + "learning_rate": 1.990697236188058e-05, + "loss": 0.9775, + "step": 3063 + }, + { + "epoch": 0.07, + "grad_norm": 2.086231532708402, + "learning_rate": 1.9906868494992566e-05, + "loss": 0.9306, + "step": 3064 + }, + { + "epoch": 0.07, + "grad_norm": 0.7960261454175642, + "learning_rate": 1.9906764570423624e-05, + "loss": 0.7486, + "step": 3065 + }, + { + "epoch": 0.07, + "grad_norm": 1.785180607232791, + "learning_rate": 1.9906660588174367e-05, + "loss": 0.8519, + "step": 3066 + }, + { + "epoch": 0.07, + "grad_norm": 2.0102035634382065, + "learning_rate": 1.9906556548245395e-05, + "loss": 0.9022, + "step": 3067 + }, + { + "epoch": 0.07, + "grad_norm": 1.704604758095218, + "learning_rate": 1.9906452450637312e-05, + "loss": 0.9114, + "step": 3068 + }, + { + "epoch": 0.07, + "grad_norm": 1.6835749536360343, + "learning_rate": 1.9906348295350727e-05, + "loss": 0.9017, + "step": 3069 + }, + { + "epoch": 0.07, + "grad_norm": 1.8230383226783022, + "learning_rate": 1.990624408238625e-05, + "loss": 1.0158, + "step": 3070 + }, + { + "epoch": 0.07, + "grad_norm": 1.7142978906469284, + "learning_rate": 1.990613981174448e-05, + "loss": 1.0631, + "step": 3071 + }, + { + "epoch": 0.07, + "grad_norm": 1.8707422307854846, + "learning_rate": 1.9906035483426024e-05, + "loss": 0.9348, + "step": 3072 + }, + { + "epoch": 0.07, + "grad_norm": 2.0607393687288336, + "learning_rate": 1.99059310974315e-05, + "loss": 0.8233, + "step": 3073 + }, + { + "epoch": 0.07, + "grad_norm": 0.8265994254413567, + "learning_rate": 1.9905826653761506e-05, + "loss": 0.7046, + "step": 3074 + }, + { + "epoch": 0.07, + "grad_norm": 7.505716120146863, + "learning_rate": 1.9905722152416652e-05, + "loss": 1.0728, + "step": 3075 + }, + { + "epoch": 0.07, + "grad_norm": 1.5352969438809867, + "learning_rate": 1.990561759339755e-05, + "loss": 0.8514, + "step": 3076 + }, + { + "epoch": 0.07, + "grad_norm": 1.896395929788609, + "learning_rate": 1.9905512976704805e-05, + "loss": 0.8805, + "step": 3077 + }, + { + "epoch": 0.07, + "grad_norm": 1.6760545838835723, + "learning_rate": 1.9905408302339025e-05, + "loss": 0.9317, + "step": 3078 + }, + { + "epoch": 0.07, + "grad_norm": 1.756886665687722, + "learning_rate": 1.9905303570300828e-05, + "loss": 0.9911, + "step": 3079 + }, + { + "epoch": 0.07, + "grad_norm": 2.0420591782591555, + "learning_rate": 1.990519878059081e-05, + "loss": 0.949, + "step": 3080 + }, + { + "epoch": 0.07, + "grad_norm": 1.6148401187545103, + "learning_rate": 1.9905093933209593e-05, + "loss": 0.9199, + "step": 3081 + }, + { + "epoch": 0.07, + "grad_norm": 1.5941977762849884, + "learning_rate": 1.9904989028157784e-05, + "loss": 0.9877, + "step": 3082 + }, + { + "epoch": 0.07, + "grad_norm": 1.9105079223149588, + "learning_rate": 1.990488406543599e-05, + "loss": 0.9675, + "step": 3083 + }, + { + "epoch": 0.07, + "grad_norm": 1.6363085565308442, + "learning_rate": 1.9904779045044828e-05, + "loss": 0.9423, + "step": 3084 + }, + { + "epoch": 0.07, + "grad_norm": 2.050462596850154, + "learning_rate": 1.9904673966984907e-05, + "loss": 0.9415, + "step": 3085 + }, + { + "epoch": 0.07, + "grad_norm": 1.863424970467947, + "learning_rate": 1.9904568831256838e-05, + "loss": 0.8999, + "step": 3086 + }, + { + "epoch": 0.07, + "grad_norm": 1.6573500411971767, + "learning_rate": 1.990446363786123e-05, + "loss": 0.9549, + "step": 3087 + }, + { + "epoch": 0.07, + "grad_norm": 1.5932396578825085, + "learning_rate": 1.9904358386798704e-05, + "loss": 0.9672, + "step": 3088 + }, + { + "epoch": 0.07, + "grad_norm": 1.8965637509191442, + "learning_rate": 1.9904253078069865e-05, + "loss": 0.8936, + "step": 3089 + }, + { + "epoch": 0.07, + "grad_norm": 2.3156805487793126, + "learning_rate": 1.990414771167533e-05, + "loss": 0.9227, + "step": 3090 + }, + { + "epoch": 0.07, + "grad_norm": 1.6980513502793488, + "learning_rate": 1.9904042287615712e-05, + "loss": 0.8625, + "step": 3091 + }, + { + "epoch": 0.07, + "grad_norm": 1.5158362300944768, + "learning_rate": 1.990393680589162e-05, + "loss": 0.8227, + "step": 3092 + }, + { + "epoch": 0.07, + "grad_norm": 2.0623719143617483, + "learning_rate": 1.9903831266503676e-05, + "loss": 0.7948, + "step": 3093 + }, + { + "epoch": 0.07, + "grad_norm": 1.585004217721968, + "learning_rate": 1.9903725669452492e-05, + "loss": 1.0032, + "step": 3094 + }, + { + "epoch": 0.07, + "grad_norm": 1.7577513729831777, + "learning_rate": 1.990362001473868e-05, + "loss": 0.8244, + "step": 3095 + }, + { + "epoch": 0.07, + "grad_norm": 1.8745904122614117, + "learning_rate": 1.9903514302362856e-05, + "loss": 0.8975, + "step": 3096 + }, + { + "epoch": 0.07, + "grad_norm": 2.075474187428818, + "learning_rate": 1.9903408532325637e-05, + "loss": 0.9957, + "step": 3097 + }, + { + "epoch": 0.07, + "grad_norm": 1.7121184914884684, + "learning_rate": 1.990330270462764e-05, + "loss": 1.0888, + "step": 3098 + }, + { + "epoch": 0.07, + "grad_norm": 1.4811441578297415, + "learning_rate": 1.9903196819269476e-05, + "loss": 0.7812, + "step": 3099 + }, + { + "epoch": 0.07, + "grad_norm": 1.6488206057736028, + "learning_rate": 1.9903090876251767e-05, + "loss": 0.926, + "step": 3100 + }, + { + "epoch": 0.07, + "grad_norm": 1.6683691377084506, + "learning_rate": 1.9902984875575127e-05, + "loss": 0.9134, + "step": 3101 + }, + { + "epoch": 0.07, + "grad_norm": 0.8245407554303287, + "learning_rate": 1.9902878817240175e-05, + "loss": 0.7367, + "step": 3102 + }, + { + "epoch": 0.07, + "grad_norm": 2.1497155747239316, + "learning_rate": 1.9902772701247527e-05, + "loss": 1.0278, + "step": 3103 + }, + { + "epoch": 0.07, + "grad_norm": 0.7514885757062479, + "learning_rate": 1.9902666527597797e-05, + "loss": 0.7262, + "step": 3104 + }, + { + "epoch": 0.07, + "grad_norm": 1.628361272754276, + "learning_rate": 1.9902560296291612e-05, + "loss": 0.852, + "step": 3105 + }, + { + "epoch": 0.07, + "grad_norm": 1.7224338716832674, + "learning_rate": 1.9902454007329585e-05, + "loss": 0.8727, + "step": 3106 + }, + { + "epoch": 0.07, + "grad_norm": 1.7960929128585321, + "learning_rate": 1.9902347660712336e-05, + "loss": 0.9129, + "step": 3107 + }, + { + "epoch": 0.07, + "grad_norm": 1.8503581007929852, + "learning_rate": 1.990224125644048e-05, + "loss": 0.9542, + "step": 3108 + }, + { + "epoch": 0.07, + "grad_norm": 1.7066291787306545, + "learning_rate": 1.9902134794514648e-05, + "loss": 0.873, + "step": 3109 + }, + { + "epoch": 0.07, + "grad_norm": 2.0360275389136686, + "learning_rate": 1.9902028274935446e-05, + "loss": 1.0468, + "step": 3110 + }, + { + "epoch": 0.07, + "grad_norm": 1.8035684658807265, + "learning_rate": 1.9901921697703503e-05, + "loss": 0.7847, + "step": 3111 + }, + { + "epoch": 0.07, + "grad_norm": 1.8651796346484744, + "learning_rate": 1.9901815062819437e-05, + "loss": 0.8265, + "step": 3112 + }, + { + "epoch": 0.07, + "grad_norm": 1.7946370281167876, + "learning_rate": 1.9901708370283866e-05, + "loss": 0.8685, + "step": 3113 + }, + { + "epoch": 0.07, + "grad_norm": 2.522191630238739, + "learning_rate": 1.9901601620097417e-05, + "loss": 0.9871, + "step": 3114 + }, + { + "epoch": 0.07, + "grad_norm": 1.9583654472454806, + "learning_rate": 1.990149481226071e-05, + "loss": 1.0101, + "step": 3115 + }, + { + "epoch": 0.07, + "grad_norm": 0.8204208787249011, + "learning_rate": 1.9901387946774363e-05, + "loss": 0.7644, + "step": 3116 + }, + { + "epoch": 0.07, + "grad_norm": 2.1450786906424253, + "learning_rate": 1.9901281023639002e-05, + "loss": 0.8271, + "step": 3117 + }, + { + "epoch": 0.07, + "grad_norm": 1.639094557566692, + "learning_rate": 1.9901174042855243e-05, + "loss": 0.9011, + "step": 3118 + }, + { + "epoch": 0.07, + "grad_norm": 1.9405822962071175, + "learning_rate": 1.9901067004423722e-05, + "loss": 0.9012, + "step": 3119 + }, + { + "epoch": 0.07, + "grad_norm": 0.806878626665894, + "learning_rate": 1.990095990834505e-05, + "loss": 0.7538, + "step": 3120 + }, + { + "epoch": 0.07, + "grad_norm": 1.7275779248640712, + "learning_rate": 1.9900852754619853e-05, + "loss": 0.9796, + "step": 3121 + }, + { + "epoch": 0.07, + "grad_norm": 2.4931860912334485, + "learning_rate": 1.9900745543248762e-05, + "loss": 0.9692, + "step": 3122 + }, + { + "epoch": 0.07, + "grad_norm": 1.980993316571122, + "learning_rate": 1.990063827423239e-05, + "loss": 0.908, + "step": 3123 + }, + { + "epoch": 0.07, + "grad_norm": 1.5086917342348523, + "learning_rate": 1.990053094757137e-05, + "loss": 1.0019, + "step": 3124 + }, + { + "epoch": 0.07, + "grad_norm": 1.6142851751090326, + "learning_rate": 1.9900423563266325e-05, + "loss": 0.9233, + "step": 3125 + }, + { + "epoch": 0.07, + "grad_norm": 1.7638063089778406, + "learning_rate": 1.9900316121317883e-05, + "loss": 0.9372, + "step": 3126 + }, + { + "epoch": 0.07, + "grad_norm": 1.9582041474910779, + "learning_rate": 1.990020862172666e-05, + "loss": 1.0348, + "step": 3127 + }, + { + "epoch": 0.07, + "grad_norm": 2.074906682923206, + "learning_rate": 1.990010106449329e-05, + "loss": 1.0876, + "step": 3128 + }, + { + "epoch": 0.07, + "grad_norm": 1.6515147201706304, + "learning_rate": 1.9899993449618397e-05, + "loss": 0.9283, + "step": 3129 + }, + { + "epoch": 0.07, + "grad_norm": 1.9144508878263413, + "learning_rate": 1.989988577710261e-05, + "loss": 0.9095, + "step": 3130 + }, + { + "epoch": 0.07, + "grad_norm": 2.240377015195709, + "learning_rate": 1.9899778046946552e-05, + "loss": 0.8794, + "step": 3131 + }, + { + "epoch": 0.07, + "grad_norm": 1.6340560845226826, + "learning_rate": 1.9899670259150855e-05, + "loss": 0.9221, + "step": 3132 + }, + { + "epoch": 0.07, + "grad_norm": 1.7510737041069804, + "learning_rate": 1.9899562413716137e-05, + "loss": 0.7859, + "step": 3133 + }, + { + "epoch": 0.07, + "grad_norm": 1.855629075128877, + "learning_rate": 1.989945451064304e-05, + "loss": 0.9537, + "step": 3134 + }, + { + "epoch": 0.07, + "grad_norm": 1.9897404436312067, + "learning_rate": 1.989934654993218e-05, + "loss": 0.9362, + "step": 3135 + }, + { + "epoch": 0.07, + "grad_norm": 1.714190834513647, + "learning_rate": 1.989923853158419e-05, + "loss": 0.982, + "step": 3136 + }, + { + "epoch": 0.07, + "grad_norm": 0.8067046592785377, + "learning_rate": 1.9899130455599703e-05, + "loss": 0.7444, + "step": 3137 + }, + { + "epoch": 0.07, + "grad_norm": 1.7430357827741798, + "learning_rate": 1.989902232197934e-05, + "loss": 0.968, + "step": 3138 + }, + { + "epoch": 0.07, + "grad_norm": 1.9398034495523626, + "learning_rate": 1.989891413072374e-05, + "loss": 0.9904, + "step": 3139 + }, + { + "epoch": 0.07, + "grad_norm": 1.5653435184340887, + "learning_rate": 1.9898805881833523e-05, + "loss": 0.892, + "step": 3140 + }, + { + "epoch": 0.07, + "grad_norm": 2.0318164235423084, + "learning_rate": 1.9898697575309326e-05, + "loss": 0.8221, + "step": 3141 + }, + { + "epoch": 0.07, + "grad_norm": 1.689294709857231, + "learning_rate": 1.989858921115178e-05, + "loss": 0.892, + "step": 3142 + }, + { + "epoch": 0.07, + "grad_norm": 1.8828361407293082, + "learning_rate": 1.989848078936151e-05, + "loss": 0.9574, + "step": 3143 + }, + { + "epoch": 0.07, + "grad_norm": 1.7556491319245575, + "learning_rate": 1.9898372309939153e-05, + "loss": 0.8544, + "step": 3144 + }, + { + "epoch": 0.07, + "grad_norm": 2.025663232120566, + "learning_rate": 1.989826377288534e-05, + "loss": 0.9586, + "step": 3145 + }, + { + "epoch": 0.07, + "grad_norm": 0.7726973616484422, + "learning_rate": 1.98981551782007e-05, + "loss": 0.751, + "step": 3146 + }, + { + "epoch": 0.07, + "grad_norm": 1.7893204666045428, + "learning_rate": 1.9898046525885868e-05, + "loss": 1.0194, + "step": 3147 + }, + { + "epoch": 0.07, + "grad_norm": 1.7918907176752168, + "learning_rate": 1.9897937815941474e-05, + "loss": 0.9168, + "step": 3148 + }, + { + "epoch": 0.07, + "grad_norm": 1.851727868248579, + "learning_rate": 1.9897829048368153e-05, + "loss": 1.023, + "step": 3149 + }, + { + "epoch": 0.07, + "grad_norm": 0.7910953979680572, + "learning_rate": 1.989772022316654e-05, + "loss": 0.7313, + "step": 3150 + }, + { + "epoch": 0.07, + "grad_norm": 2.209596067730812, + "learning_rate": 1.9897611340337263e-05, + "loss": 0.9467, + "step": 3151 + }, + { + "epoch": 0.07, + "grad_norm": 1.56338968276093, + "learning_rate": 1.989750239988096e-05, + "loss": 0.8558, + "step": 3152 + }, + { + "epoch": 0.07, + "grad_norm": 1.69479457325946, + "learning_rate": 1.9897393401798265e-05, + "loss": 0.9711, + "step": 3153 + }, + { + "epoch": 0.07, + "grad_norm": 1.876110424109189, + "learning_rate": 1.989728434608981e-05, + "loss": 0.972, + "step": 3154 + }, + { + "epoch": 0.07, + "grad_norm": 2.0056901429182536, + "learning_rate": 1.9897175232756236e-05, + "loss": 0.9809, + "step": 3155 + }, + { + "epoch": 0.07, + "grad_norm": 1.754211222078979, + "learning_rate": 1.9897066061798172e-05, + "loss": 1.0495, + "step": 3156 + }, + { + "epoch": 0.07, + "grad_norm": 0.8534558879051548, + "learning_rate": 1.9896956833216257e-05, + "loss": 0.7884, + "step": 3157 + }, + { + "epoch": 0.07, + "grad_norm": 1.771699254324046, + "learning_rate": 1.9896847547011124e-05, + "loss": 0.8957, + "step": 3158 + }, + { + "epoch": 0.07, + "grad_norm": 2.82285985888442, + "learning_rate": 1.9896738203183413e-05, + "loss": 0.8985, + "step": 3159 + }, + { + "epoch": 0.07, + "grad_norm": 1.5479343126692475, + "learning_rate": 1.9896628801733763e-05, + "loss": 1.0374, + "step": 3160 + }, + { + "epoch": 0.07, + "grad_norm": 2.1044486222493095, + "learning_rate": 1.9896519342662798e-05, + "loss": 1.0733, + "step": 3161 + }, + { + "epoch": 0.07, + "grad_norm": 0.884260723146339, + "learning_rate": 1.989640982597117e-05, + "loss": 0.7704, + "step": 3162 + }, + { + "epoch": 0.07, + "grad_norm": 2.165784294827261, + "learning_rate": 1.989630025165951e-05, + "loss": 0.873, + "step": 3163 + }, + { + "epoch": 0.07, + "grad_norm": 0.7880255376954909, + "learning_rate": 1.9896190619728458e-05, + "loss": 0.7065, + "step": 3164 + }, + { + "epoch": 0.07, + "grad_norm": 2.288885704117888, + "learning_rate": 1.9896080930178646e-05, + "loss": 0.9161, + "step": 3165 + }, + { + "epoch": 0.07, + "grad_norm": 2.1348050146905715, + "learning_rate": 1.9895971183010726e-05, + "loss": 0.9201, + "step": 3166 + }, + { + "epoch": 0.07, + "grad_norm": 1.591216143144748, + "learning_rate": 1.9895861378225324e-05, + "loss": 0.9434, + "step": 3167 + }, + { + "epoch": 0.07, + "grad_norm": 2.7266590978522456, + "learning_rate": 1.989575151582308e-05, + "loss": 0.8362, + "step": 3168 + }, + { + "epoch": 0.07, + "grad_norm": 1.7257411582677233, + "learning_rate": 1.9895641595804644e-05, + "loss": 1.0238, + "step": 3169 + }, + { + "epoch": 0.07, + "grad_norm": 1.856661713347165, + "learning_rate": 1.9895531618170646e-05, + "loss": 0.9543, + "step": 3170 + }, + { + "epoch": 0.07, + "grad_norm": 1.9628156741532796, + "learning_rate": 1.9895421582921735e-05, + "loss": 0.8675, + "step": 3171 + }, + { + "epoch": 0.07, + "grad_norm": 1.920146112557126, + "learning_rate": 1.989531149005854e-05, + "loss": 0.8308, + "step": 3172 + }, + { + "epoch": 0.07, + "grad_norm": 0.8672541363219998, + "learning_rate": 1.9895201339581717e-05, + "loss": 0.7558, + "step": 3173 + }, + { + "epoch": 0.07, + "grad_norm": 1.7685875697043845, + "learning_rate": 1.989509113149189e-05, + "loss": 1.0489, + "step": 3174 + }, + { + "epoch": 0.07, + "grad_norm": 1.9599958595561977, + "learning_rate": 1.9894980865789716e-05, + "loss": 0.8265, + "step": 3175 + }, + { + "epoch": 0.07, + "grad_norm": 1.9106328197620426, + "learning_rate": 1.9894870542475827e-05, + "loss": 0.9458, + "step": 3176 + }, + { + "epoch": 0.07, + "grad_norm": 1.5996395422892185, + "learning_rate": 1.989476016155087e-05, + "loss": 0.9831, + "step": 3177 + }, + { + "epoch": 0.07, + "grad_norm": 0.7853444108824758, + "learning_rate": 1.9894649723015487e-05, + "loss": 0.7171, + "step": 3178 + }, + { + "epoch": 0.07, + "grad_norm": 1.9719092198631676, + "learning_rate": 1.9894539226870325e-05, + "loss": 0.9221, + "step": 3179 + }, + { + "epoch": 0.07, + "grad_norm": 1.7691567405038067, + "learning_rate": 1.9894428673116016e-05, + "loss": 0.9555, + "step": 3180 + }, + { + "epoch": 0.07, + "grad_norm": 1.6942391206098963, + "learning_rate": 1.9894318061753214e-05, + "loss": 0.9806, + "step": 3181 + }, + { + "epoch": 0.07, + "grad_norm": 2.8289118302431504, + "learning_rate": 1.989420739278256e-05, + "loss": 0.8578, + "step": 3182 + }, + { + "epoch": 0.07, + "grad_norm": 1.7844831610058698, + "learning_rate": 1.98940966662047e-05, + "loss": 0.9083, + "step": 3183 + }, + { + "epoch": 0.08, + "grad_norm": 1.773980285177081, + "learning_rate": 1.9893985882020272e-05, + "loss": 1.0251, + "step": 3184 + }, + { + "epoch": 0.08, + "grad_norm": 1.9904146645087293, + "learning_rate": 1.989387504022993e-05, + "loss": 0.9983, + "step": 3185 + }, + { + "epoch": 0.08, + "grad_norm": 1.9292600892481524, + "learning_rate": 1.9893764140834312e-05, + "loss": 0.8938, + "step": 3186 + }, + { + "epoch": 0.08, + "grad_norm": 0.8598729713841379, + "learning_rate": 1.9893653183834068e-05, + "loss": 0.7548, + "step": 3187 + }, + { + "epoch": 0.08, + "grad_norm": 1.79151226660638, + "learning_rate": 1.9893542169229844e-05, + "loss": 0.9386, + "step": 3188 + }, + { + "epoch": 0.08, + "grad_norm": 3.327822927266398, + "learning_rate": 1.9893431097022284e-05, + "loss": 0.7945, + "step": 3189 + }, + { + "epoch": 0.08, + "grad_norm": 0.8061902982892444, + "learning_rate": 1.989331996721204e-05, + "loss": 0.7253, + "step": 3190 + }, + { + "epoch": 0.08, + "grad_norm": 1.6880981838439628, + "learning_rate": 1.9893208779799747e-05, + "loss": 0.9443, + "step": 3191 + }, + { + "epoch": 0.08, + "grad_norm": 1.677623081925577, + "learning_rate": 1.989309753478607e-05, + "loss": 0.919, + "step": 3192 + }, + { + "epoch": 0.08, + "grad_norm": 0.8286085081229927, + "learning_rate": 1.989298623217164e-05, + "loss": 0.7234, + "step": 3193 + }, + { + "epoch": 0.08, + "grad_norm": 1.5763326734820464, + "learning_rate": 1.989287487195711e-05, + "loss": 0.8948, + "step": 3194 + }, + { + "epoch": 0.08, + "grad_norm": 1.9709247067510827, + "learning_rate": 1.9892763454143134e-05, + "loss": 1.0013, + "step": 3195 + }, + { + "epoch": 0.08, + "grad_norm": 1.711455954691803, + "learning_rate": 1.989265197873036e-05, + "loss": 0.9522, + "step": 3196 + }, + { + "epoch": 0.08, + "grad_norm": 1.6012073507593574, + "learning_rate": 1.989254044571943e-05, + "loss": 0.8812, + "step": 3197 + }, + { + "epoch": 0.08, + "grad_norm": 1.8896065842413179, + "learning_rate": 1.9892428855111e-05, + "loss": 0.9529, + "step": 3198 + }, + { + "epoch": 0.08, + "grad_norm": 1.773292293333319, + "learning_rate": 1.989231720690572e-05, + "loss": 0.8977, + "step": 3199 + }, + { + "epoch": 0.08, + "grad_norm": 1.7836721979175258, + "learning_rate": 1.989220550110423e-05, + "loss": 0.9174, + "step": 3200 + }, + { + "epoch": 0.08, + "grad_norm": 1.7120937456375083, + "learning_rate": 1.989209373770719e-05, + "loss": 1.035, + "step": 3201 + }, + { + "epoch": 0.08, + "grad_norm": 2.7691711367068508, + "learning_rate": 1.9891981916715254e-05, + "loss": 0.9155, + "step": 3202 + }, + { + "epoch": 0.08, + "grad_norm": 2.2384115289202766, + "learning_rate": 1.9891870038129066e-05, + "loss": 0.9335, + "step": 3203 + }, + { + "epoch": 0.08, + "grad_norm": 2.132495488950891, + "learning_rate": 1.9891758101949275e-05, + "loss": 0.935, + "step": 3204 + }, + { + "epoch": 0.08, + "grad_norm": 2.0430384293481807, + "learning_rate": 1.9891646108176536e-05, + "loss": 0.9412, + "step": 3205 + }, + { + "epoch": 0.08, + "grad_norm": 1.9072324090261057, + "learning_rate": 1.9891534056811507e-05, + "loss": 0.9599, + "step": 3206 + }, + { + "epoch": 0.08, + "grad_norm": 1.7843769084508463, + "learning_rate": 1.9891421947854833e-05, + "loss": 1.0383, + "step": 3207 + }, + { + "epoch": 0.08, + "grad_norm": 1.7788320093697523, + "learning_rate": 1.9891309781307167e-05, + "loss": 0.9497, + "step": 3208 + }, + { + "epoch": 0.08, + "grad_norm": 1.677382003526372, + "learning_rate": 1.9891197557169164e-05, + "loss": 0.9243, + "step": 3209 + }, + { + "epoch": 0.08, + "grad_norm": 2.2878516562418043, + "learning_rate": 1.989108527544148e-05, + "loss": 0.8651, + "step": 3210 + }, + { + "epoch": 0.08, + "grad_norm": 0.8139635415823383, + "learning_rate": 1.9890972936124764e-05, + "loss": 0.7676, + "step": 3211 + }, + { + "epoch": 0.08, + "grad_norm": 3.0966374456858485, + "learning_rate": 1.989086053921967e-05, + "loss": 0.9245, + "step": 3212 + }, + { + "epoch": 0.08, + "grad_norm": 0.818867029254188, + "learning_rate": 1.989074808472686e-05, + "loss": 0.7506, + "step": 3213 + }, + { + "epoch": 0.08, + "grad_norm": 0.763742789001338, + "learning_rate": 1.989063557264698e-05, + "loss": 0.7211, + "step": 3214 + }, + { + "epoch": 0.08, + "grad_norm": 0.7598650850432842, + "learning_rate": 1.9890523002980687e-05, + "loss": 0.6968, + "step": 3215 + }, + { + "epoch": 0.08, + "grad_norm": 2.091812947934551, + "learning_rate": 1.989041037572864e-05, + "loss": 0.9093, + "step": 3216 + }, + { + "epoch": 0.08, + "grad_norm": 1.7620313936540593, + "learning_rate": 1.989029769089149e-05, + "loss": 0.8695, + "step": 3217 + }, + { + "epoch": 0.08, + "grad_norm": 1.7421291334124231, + "learning_rate": 1.98901849484699e-05, + "loss": 0.9441, + "step": 3218 + }, + { + "epoch": 0.08, + "grad_norm": 1.5929015068358106, + "learning_rate": 1.9890072148464518e-05, + "loss": 0.9084, + "step": 3219 + }, + { + "epoch": 0.08, + "grad_norm": 1.5627466324901216, + "learning_rate": 1.988995929087601e-05, + "loss": 0.9943, + "step": 3220 + }, + { + "epoch": 0.08, + "grad_norm": 1.6530246715153054, + "learning_rate": 1.988984637570502e-05, + "loss": 0.9085, + "step": 3221 + }, + { + "epoch": 0.08, + "grad_norm": 0.7547017387250184, + "learning_rate": 1.9889733402952222e-05, + "loss": 0.7491, + "step": 3222 + }, + { + "epoch": 0.08, + "grad_norm": 1.892768429249231, + "learning_rate": 1.988962037261826e-05, + "loss": 0.9962, + "step": 3223 + }, + { + "epoch": 0.08, + "grad_norm": 2.2961900708175964, + "learning_rate": 1.98895072847038e-05, + "loss": 0.7931, + "step": 3224 + }, + { + "epoch": 0.08, + "grad_norm": 0.7681824602489783, + "learning_rate": 1.9889394139209492e-05, + "loss": 0.6863, + "step": 3225 + }, + { + "epoch": 0.08, + "grad_norm": 2.6337063690172506, + "learning_rate": 1.9889280936136007e-05, + "loss": 1.0054, + "step": 3226 + }, + { + "epoch": 0.08, + "grad_norm": 1.8687732994486914, + "learning_rate": 1.9889167675483994e-05, + "loss": 0.9121, + "step": 3227 + }, + { + "epoch": 0.08, + "grad_norm": 1.803241888579486, + "learning_rate": 1.9889054357254113e-05, + "loss": 0.884, + "step": 3228 + }, + { + "epoch": 0.08, + "grad_norm": 1.9969489360482593, + "learning_rate": 1.988894098144703e-05, + "loss": 0.9073, + "step": 3229 + }, + { + "epoch": 0.08, + "grad_norm": 1.6243925237554944, + "learning_rate": 1.9888827548063404e-05, + "loss": 0.9337, + "step": 3230 + }, + { + "epoch": 0.08, + "grad_norm": 1.599474716489985, + "learning_rate": 1.988871405710389e-05, + "loss": 0.9428, + "step": 3231 + }, + { + "epoch": 0.08, + "grad_norm": 1.5927813712202543, + "learning_rate": 1.9888600508569157e-05, + "loss": 0.8376, + "step": 3232 + }, + { + "epoch": 0.08, + "grad_norm": 1.9191654889207488, + "learning_rate": 1.9888486902459852e-05, + "loss": 0.9162, + "step": 3233 + }, + { + "epoch": 0.08, + "grad_norm": 1.6048416984593346, + "learning_rate": 1.9888373238776654e-05, + "loss": 0.987, + "step": 3234 + }, + { + "epoch": 0.08, + "grad_norm": 2.2123934299501586, + "learning_rate": 1.9888259517520212e-05, + "loss": 0.8403, + "step": 3235 + }, + { + "epoch": 0.08, + "grad_norm": 1.9632342273871692, + "learning_rate": 1.9888145738691196e-05, + "loss": 0.8038, + "step": 3236 + }, + { + "epoch": 0.08, + "grad_norm": 2.250490381986209, + "learning_rate": 1.9888031902290265e-05, + "loss": 0.8595, + "step": 3237 + }, + { + "epoch": 0.08, + "grad_norm": 1.8669165217367614, + "learning_rate": 1.9887918008318076e-05, + "loss": 0.9444, + "step": 3238 + }, + { + "epoch": 0.08, + "grad_norm": 1.875231282211587, + "learning_rate": 1.98878040567753e-05, + "loss": 0.8801, + "step": 3239 + }, + { + "epoch": 0.08, + "grad_norm": 2.0604184291877017, + "learning_rate": 1.9887690047662604e-05, + "loss": 0.8966, + "step": 3240 + }, + { + "epoch": 0.08, + "grad_norm": 1.895399059953481, + "learning_rate": 1.988757598098064e-05, + "loss": 1.0555, + "step": 3241 + }, + { + "epoch": 0.08, + "grad_norm": 0.8060320461027811, + "learning_rate": 1.988746185673008e-05, + "loss": 0.7511, + "step": 3242 + }, + { + "epoch": 0.08, + "grad_norm": 1.6483072881752505, + "learning_rate": 1.9887347674911587e-05, + "loss": 0.8209, + "step": 3243 + }, + { + "epoch": 0.08, + "grad_norm": 2.9867176634677772, + "learning_rate": 1.9887233435525827e-05, + "loss": 0.9272, + "step": 3244 + }, + { + "epoch": 0.08, + "grad_norm": 1.8834852748754356, + "learning_rate": 1.9887119138573462e-05, + "loss": 0.7575, + "step": 3245 + }, + { + "epoch": 0.08, + "grad_norm": 2.0324298156171072, + "learning_rate": 1.988700478405516e-05, + "loss": 0.8333, + "step": 3246 + }, + { + "epoch": 0.08, + "grad_norm": 1.8964831017406198, + "learning_rate": 1.9886890371971585e-05, + "loss": 0.9935, + "step": 3247 + }, + { + "epoch": 0.08, + "grad_norm": 1.8630659016717723, + "learning_rate": 1.9886775902323405e-05, + "loss": 1.0197, + "step": 3248 + }, + { + "epoch": 0.08, + "grad_norm": 1.8592156170480936, + "learning_rate": 1.9886661375111286e-05, + "loss": 0.9453, + "step": 3249 + }, + { + "epoch": 0.08, + "grad_norm": 2.220722504851943, + "learning_rate": 1.9886546790335895e-05, + "loss": 0.9377, + "step": 3250 + }, + { + "epoch": 0.08, + "grad_norm": 1.6154158726581613, + "learning_rate": 1.9886432147997897e-05, + "loss": 0.9459, + "step": 3251 + }, + { + "epoch": 0.08, + "grad_norm": 2.628611543357172, + "learning_rate": 1.988631744809796e-05, + "loss": 0.9483, + "step": 3252 + }, + { + "epoch": 0.08, + "grad_norm": 2.1682123996131426, + "learning_rate": 1.9886202690636755e-05, + "loss": 0.9803, + "step": 3253 + }, + { + "epoch": 0.08, + "grad_norm": 2.1103099314169214, + "learning_rate": 1.9886087875614946e-05, + "loss": 0.9275, + "step": 3254 + }, + { + "epoch": 0.08, + "grad_norm": 1.7174730044448263, + "learning_rate": 1.9885973003033207e-05, + "loss": 1.0718, + "step": 3255 + }, + { + "epoch": 0.08, + "grad_norm": 1.7737841443774423, + "learning_rate": 1.98858580728922e-05, + "loss": 0.9565, + "step": 3256 + }, + { + "epoch": 0.08, + "grad_norm": 1.874301532076563, + "learning_rate": 1.9885743085192598e-05, + "loss": 1.0018, + "step": 3257 + }, + { + "epoch": 0.08, + "grad_norm": 0.7534920163303718, + "learning_rate": 1.988562803993507e-05, + "loss": 0.737, + "step": 3258 + }, + { + "epoch": 0.08, + "grad_norm": 0.766422644809778, + "learning_rate": 1.988551293712029e-05, + "loss": 0.7172, + "step": 3259 + }, + { + "epoch": 0.08, + "grad_norm": 2.3176684158622294, + "learning_rate": 1.9885397776748918e-05, + "loss": 0.8034, + "step": 3260 + }, + { + "epoch": 0.08, + "grad_norm": 1.6326752474070043, + "learning_rate": 1.9885282558821633e-05, + "loss": 0.9915, + "step": 3261 + }, + { + "epoch": 0.08, + "grad_norm": 0.7537702765707714, + "learning_rate": 1.98851672833391e-05, + "loss": 0.7256, + "step": 3262 + }, + { + "epoch": 0.08, + "grad_norm": 2.1555234286886384, + "learning_rate": 1.9885051950301998e-05, + "loss": 0.9496, + "step": 3263 + }, + { + "epoch": 0.08, + "grad_norm": 2.256624744905869, + "learning_rate": 1.9884936559710995e-05, + "loss": 0.7468, + "step": 3264 + }, + { + "epoch": 0.08, + "grad_norm": 1.7464391655542753, + "learning_rate": 1.988482111156676e-05, + "loss": 0.9389, + "step": 3265 + }, + { + "epoch": 0.08, + "grad_norm": 1.895337231762071, + "learning_rate": 1.9884705605869965e-05, + "loss": 0.9519, + "step": 3266 + }, + { + "epoch": 0.08, + "grad_norm": 2.0694430726692103, + "learning_rate": 1.9884590042621284e-05, + "loss": 1.0076, + "step": 3267 + }, + { + "epoch": 0.08, + "grad_norm": 1.761511252359846, + "learning_rate": 1.9884474421821393e-05, + "loss": 1.0483, + "step": 3268 + }, + { + "epoch": 0.08, + "grad_norm": 1.7454420158414232, + "learning_rate": 1.9884358743470963e-05, + "loss": 0.909, + "step": 3269 + }, + { + "epoch": 0.08, + "grad_norm": 1.6590080671866156, + "learning_rate": 1.9884243007570665e-05, + "loss": 0.9568, + "step": 3270 + }, + { + "epoch": 0.08, + "grad_norm": 2.245532404345916, + "learning_rate": 1.9884127214121176e-05, + "loss": 0.8943, + "step": 3271 + }, + { + "epoch": 0.08, + "grad_norm": 1.6385127227277139, + "learning_rate": 1.9884011363123168e-05, + "loss": 0.9776, + "step": 3272 + }, + { + "epoch": 0.08, + "grad_norm": 1.6369684901095491, + "learning_rate": 1.988389545457732e-05, + "loss": 0.9459, + "step": 3273 + }, + { + "epoch": 0.08, + "grad_norm": 1.7018950686213472, + "learning_rate": 1.9883779488484297e-05, + "loss": 0.9557, + "step": 3274 + }, + { + "epoch": 0.08, + "grad_norm": 1.9697345056524957, + "learning_rate": 1.9883663464844786e-05, + "loss": 0.9722, + "step": 3275 + }, + { + "epoch": 0.08, + "grad_norm": 1.8205399405530822, + "learning_rate": 1.9883547383659456e-05, + "loss": 0.8764, + "step": 3276 + }, + { + "epoch": 0.08, + "grad_norm": 1.5068592059229553, + "learning_rate": 1.9883431244928984e-05, + "loss": 0.8234, + "step": 3277 + }, + { + "epoch": 0.08, + "grad_norm": 3.1163254389263217, + "learning_rate": 1.9883315048654048e-05, + "loss": 0.8388, + "step": 3278 + }, + { + "epoch": 0.08, + "grad_norm": 0.8479707653095853, + "learning_rate": 1.988319879483532e-05, + "loss": 0.6992, + "step": 3279 + }, + { + "epoch": 0.08, + "grad_norm": 1.8432446987743147, + "learning_rate": 1.988308248347348e-05, + "loss": 0.9366, + "step": 3280 + }, + { + "epoch": 0.08, + "grad_norm": 1.7350179429905999, + "learning_rate": 1.9882966114569205e-05, + "loss": 0.8764, + "step": 3281 + }, + { + "epoch": 0.08, + "grad_norm": 1.9895741277523815, + "learning_rate": 1.9882849688123172e-05, + "loss": 1.0221, + "step": 3282 + }, + { + "epoch": 0.08, + "grad_norm": 1.8278810416838418, + "learning_rate": 1.988273320413606e-05, + "loss": 0.9236, + "step": 3283 + }, + { + "epoch": 0.08, + "grad_norm": 1.6755494319885635, + "learning_rate": 1.9882616662608547e-05, + "loss": 0.8743, + "step": 3284 + }, + { + "epoch": 0.08, + "grad_norm": 1.7809661068738416, + "learning_rate": 1.988250006354131e-05, + "loss": 0.9152, + "step": 3285 + }, + { + "epoch": 0.08, + "grad_norm": 1.7178543534401653, + "learning_rate": 1.988238340693503e-05, + "loss": 0.9093, + "step": 3286 + }, + { + "epoch": 0.08, + "grad_norm": 2.3211732014440862, + "learning_rate": 1.9882266692790387e-05, + "loss": 1.02, + "step": 3287 + }, + { + "epoch": 0.08, + "grad_norm": 1.863706783148973, + "learning_rate": 1.9882149921108053e-05, + "loss": 0.9396, + "step": 3288 + }, + { + "epoch": 0.08, + "grad_norm": 1.6879239458187367, + "learning_rate": 1.988203309188872e-05, + "loss": 0.8841, + "step": 3289 + }, + { + "epoch": 0.08, + "grad_norm": 1.7062233092707024, + "learning_rate": 1.9881916205133057e-05, + "loss": 0.8577, + "step": 3290 + }, + { + "epoch": 0.08, + "grad_norm": 3.048843030678155, + "learning_rate": 1.988179926084175e-05, + "loss": 0.9247, + "step": 3291 + }, + { + "epoch": 0.08, + "grad_norm": 2.123657809144118, + "learning_rate": 1.988168225901548e-05, + "loss": 1.0767, + "step": 3292 + }, + { + "epoch": 0.08, + "grad_norm": 2.0432099439356093, + "learning_rate": 1.9881565199654926e-05, + "loss": 0.834, + "step": 3293 + }, + { + "epoch": 0.08, + "grad_norm": 1.9243292307795388, + "learning_rate": 1.9881448082760774e-05, + "loss": 0.8174, + "step": 3294 + }, + { + "epoch": 0.08, + "grad_norm": 1.810513974624993, + "learning_rate": 1.9881330908333702e-05, + "loss": 0.8629, + "step": 3295 + }, + { + "epoch": 0.08, + "grad_norm": 1.9361627916088087, + "learning_rate": 1.988121367637439e-05, + "loss": 0.9651, + "step": 3296 + }, + { + "epoch": 0.08, + "grad_norm": 1.9530553207485128, + "learning_rate": 1.9881096386883526e-05, + "loss": 0.929, + "step": 3297 + }, + { + "epoch": 0.08, + "grad_norm": 1.6700826073104216, + "learning_rate": 1.988097903986179e-05, + "loss": 1.0643, + "step": 3298 + }, + { + "epoch": 0.08, + "grad_norm": 1.7562371051612329, + "learning_rate": 1.9880861635309867e-05, + "loss": 0.9151, + "step": 3299 + }, + { + "epoch": 0.08, + "grad_norm": 1.6342126414937281, + "learning_rate": 1.9880744173228437e-05, + "loss": 0.8796, + "step": 3300 + }, + { + "epoch": 0.08, + "grad_norm": 1.7477164917279207, + "learning_rate": 1.988062665361819e-05, + "loss": 0.8916, + "step": 3301 + }, + { + "epoch": 0.08, + "grad_norm": 1.9108569142990153, + "learning_rate": 1.9880509076479803e-05, + "loss": 0.9662, + "step": 3302 + }, + { + "epoch": 0.08, + "grad_norm": 0.8167994135510349, + "learning_rate": 1.9880391441813963e-05, + "loss": 0.7314, + "step": 3303 + }, + { + "epoch": 0.08, + "grad_norm": 1.7757597626472974, + "learning_rate": 1.988027374962136e-05, + "loss": 0.9326, + "step": 3304 + }, + { + "epoch": 0.08, + "grad_norm": 1.7083777302418652, + "learning_rate": 1.9880155999902672e-05, + "loss": 0.9333, + "step": 3305 + }, + { + "epoch": 0.08, + "grad_norm": 1.6915455133584705, + "learning_rate": 1.988003819265859e-05, + "loss": 0.9226, + "step": 3306 + }, + { + "epoch": 0.08, + "grad_norm": 1.5029007965140437, + "learning_rate": 1.98799203278898e-05, + "loss": 1.0245, + "step": 3307 + }, + { + "epoch": 0.08, + "grad_norm": 1.7290468962178605, + "learning_rate": 1.987980240559698e-05, + "loss": 0.9045, + "step": 3308 + }, + { + "epoch": 0.08, + "grad_norm": 0.7518212992822928, + "learning_rate": 1.9879684425780825e-05, + "loss": 0.7189, + "step": 3309 + }, + { + "epoch": 0.08, + "grad_norm": 1.5953822985434232, + "learning_rate": 1.987956638844202e-05, + "loss": 0.9655, + "step": 3310 + }, + { + "epoch": 0.08, + "grad_norm": 1.6400326640343121, + "learning_rate": 1.9879448293581253e-05, + "loss": 0.9648, + "step": 3311 + }, + { + "epoch": 0.08, + "grad_norm": 1.8967651204412959, + "learning_rate": 1.9879330141199206e-05, + "loss": 0.8991, + "step": 3312 + }, + { + "epoch": 0.08, + "grad_norm": 1.676154861898504, + "learning_rate": 1.9879211931296572e-05, + "loss": 0.9706, + "step": 3313 + }, + { + "epoch": 0.08, + "grad_norm": 1.882217492904402, + "learning_rate": 1.9879093663874044e-05, + "loss": 1.0096, + "step": 3314 + }, + { + "epoch": 0.08, + "grad_norm": 1.738953128785975, + "learning_rate": 1.98789753389323e-05, + "loss": 1.0793, + "step": 3315 + }, + { + "epoch": 0.08, + "grad_norm": 2.0999378548847893, + "learning_rate": 1.9878856956472033e-05, + "loss": 0.9418, + "step": 3316 + }, + { + "epoch": 0.08, + "grad_norm": 1.9842300444227525, + "learning_rate": 1.987873851649394e-05, + "loss": 0.9263, + "step": 3317 + }, + { + "epoch": 0.08, + "grad_norm": 1.4495338009690617, + "learning_rate": 1.9878620018998696e-05, + "loss": 0.8992, + "step": 3318 + }, + { + "epoch": 0.08, + "grad_norm": 2.119801452943553, + "learning_rate": 1.9878501463987002e-05, + "loss": 0.9441, + "step": 3319 + }, + { + "epoch": 0.08, + "grad_norm": 1.5361483506664564, + "learning_rate": 1.9878382851459545e-05, + "loss": 0.8508, + "step": 3320 + }, + { + "epoch": 0.08, + "grad_norm": 2.4022264216307563, + "learning_rate": 1.9878264181417016e-05, + "loss": 1.0779, + "step": 3321 + }, + { + "epoch": 0.08, + "grad_norm": 1.653539656350808, + "learning_rate": 1.9878145453860106e-05, + "loss": 0.9341, + "step": 3322 + }, + { + "epoch": 0.08, + "grad_norm": 1.6600983046313549, + "learning_rate": 1.9878026668789503e-05, + "loss": 1.085, + "step": 3323 + }, + { + "epoch": 0.08, + "grad_norm": 0.7584015862688489, + "learning_rate": 1.9877907826205902e-05, + "loss": 0.7852, + "step": 3324 + }, + { + "epoch": 0.08, + "grad_norm": 4.057153651312899, + "learning_rate": 1.9877788926109997e-05, + "loss": 0.9928, + "step": 3325 + }, + { + "epoch": 0.08, + "grad_norm": 1.681432336372676, + "learning_rate": 1.9877669968502476e-05, + "loss": 0.8964, + "step": 3326 + }, + { + "epoch": 0.08, + "grad_norm": 1.6575677462331238, + "learning_rate": 1.9877550953384037e-05, + "loss": 0.9763, + "step": 3327 + }, + { + "epoch": 0.08, + "grad_norm": 1.5111012853077064, + "learning_rate": 1.9877431880755364e-05, + "loss": 0.98, + "step": 3328 + }, + { + "epoch": 0.08, + "grad_norm": 1.6570471351841531, + "learning_rate": 1.9877312750617155e-05, + "loss": 0.8356, + "step": 3329 + }, + { + "epoch": 0.08, + "grad_norm": 1.9621689837415779, + "learning_rate": 1.9877193562970105e-05, + "loss": 0.8878, + "step": 3330 + }, + { + "epoch": 0.08, + "grad_norm": 1.9737776126469357, + "learning_rate": 1.987707431781491e-05, + "loss": 0.9195, + "step": 3331 + }, + { + "epoch": 0.08, + "grad_norm": 1.5991100869819168, + "learning_rate": 1.987695501515226e-05, + "loss": 0.9504, + "step": 3332 + }, + { + "epoch": 0.08, + "grad_norm": 1.8081404588972352, + "learning_rate": 1.9876835654982848e-05, + "loss": 0.8916, + "step": 3333 + }, + { + "epoch": 0.08, + "grad_norm": 1.6884218332245773, + "learning_rate": 1.9876716237307376e-05, + "loss": 0.8863, + "step": 3334 + }, + { + "epoch": 0.08, + "grad_norm": 2.688707039387109, + "learning_rate": 1.9876596762126532e-05, + "loss": 0.9482, + "step": 3335 + }, + { + "epoch": 0.08, + "grad_norm": 2.5442974228320203, + "learning_rate": 1.9876477229441014e-05, + "loss": 0.898, + "step": 3336 + }, + { + "epoch": 0.08, + "grad_norm": 1.825252258619567, + "learning_rate": 1.987635763925152e-05, + "loss": 1.1215, + "step": 3337 + }, + { + "epoch": 0.08, + "grad_norm": 1.8555435453102775, + "learning_rate": 1.9876237991558746e-05, + "loss": 1.0613, + "step": 3338 + }, + { + "epoch": 0.08, + "grad_norm": 1.8348369034650114, + "learning_rate": 1.987611828636339e-05, + "loss": 1.0087, + "step": 3339 + }, + { + "epoch": 0.08, + "grad_norm": 1.8340255409397637, + "learning_rate": 1.987599852366614e-05, + "loss": 0.9893, + "step": 3340 + }, + { + "epoch": 0.08, + "grad_norm": 1.8330467175344445, + "learning_rate": 1.9875878703467707e-05, + "loss": 0.9131, + "step": 3341 + }, + { + "epoch": 0.08, + "grad_norm": 1.6230207766884504, + "learning_rate": 1.987575882576878e-05, + "loss": 0.879, + "step": 3342 + }, + { + "epoch": 0.08, + "grad_norm": 2.33161154129389, + "learning_rate": 1.987563889057006e-05, + "loss": 0.8714, + "step": 3343 + }, + { + "epoch": 0.08, + "grad_norm": 0.7307239664502052, + "learning_rate": 1.9875518897872236e-05, + "loss": 0.7268, + "step": 3344 + }, + { + "epoch": 0.08, + "grad_norm": 1.7417941286653704, + "learning_rate": 1.987539884767602e-05, + "loss": 1.0027, + "step": 3345 + }, + { + "epoch": 0.08, + "grad_norm": 1.5335369988977796, + "learning_rate": 1.9875278739982104e-05, + "loss": 0.9173, + "step": 3346 + }, + { + "epoch": 0.08, + "grad_norm": 1.7211472739317641, + "learning_rate": 1.9875158574791192e-05, + "loss": 0.9666, + "step": 3347 + }, + { + "epoch": 0.08, + "grad_norm": 2.647496238967478, + "learning_rate": 1.9875038352103975e-05, + "loss": 1.0448, + "step": 3348 + }, + { + "epoch": 0.08, + "grad_norm": 1.8794621203545538, + "learning_rate": 1.9874918071921162e-05, + "loss": 0.7684, + "step": 3349 + }, + { + "epoch": 0.08, + "grad_norm": 2.002109820903398, + "learning_rate": 1.9874797734243446e-05, + "loss": 1.01, + "step": 3350 + }, + { + "epoch": 0.08, + "grad_norm": 2.030171556901663, + "learning_rate": 1.9874677339071536e-05, + "loss": 0.8229, + "step": 3351 + }, + { + "epoch": 0.08, + "grad_norm": 1.795812211785222, + "learning_rate": 1.9874556886406126e-05, + "loss": 0.8629, + "step": 3352 + }, + { + "epoch": 0.08, + "grad_norm": 2.1584174760279002, + "learning_rate": 1.987443637624792e-05, + "loss": 0.865, + "step": 3353 + }, + { + "epoch": 0.08, + "grad_norm": 1.7766897912998627, + "learning_rate": 1.987431580859762e-05, + "loss": 0.8809, + "step": 3354 + }, + { + "epoch": 0.08, + "grad_norm": 0.8012771902649604, + "learning_rate": 1.9874195183455925e-05, + "loss": 0.7371, + "step": 3355 + }, + { + "epoch": 0.08, + "grad_norm": 1.6559565138674017, + "learning_rate": 1.987407450082354e-05, + "loss": 0.9047, + "step": 3356 + }, + { + "epoch": 0.08, + "grad_norm": 1.719898315876726, + "learning_rate": 1.987395376070117e-05, + "loss": 0.9118, + "step": 3357 + }, + { + "epoch": 0.08, + "grad_norm": 2.1938642295951745, + "learning_rate": 1.9873832963089512e-05, + "loss": 1.081, + "step": 3358 + }, + { + "epoch": 0.08, + "grad_norm": 1.665453189937007, + "learning_rate": 1.9873712107989273e-05, + "loss": 0.9722, + "step": 3359 + }, + { + "epoch": 0.08, + "grad_norm": 2.131692948124317, + "learning_rate": 1.9873591195401157e-05, + "loss": 0.9405, + "step": 3360 + }, + { + "epoch": 0.08, + "grad_norm": 1.765987547788053, + "learning_rate": 1.9873470225325868e-05, + "loss": 0.9691, + "step": 3361 + }, + { + "epoch": 0.08, + "grad_norm": 1.9101458837002614, + "learning_rate": 1.987334919776411e-05, + "loss": 0.8427, + "step": 3362 + }, + { + "epoch": 0.08, + "grad_norm": 1.5723109019983843, + "learning_rate": 1.9873228112716583e-05, + "loss": 0.8855, + "step": 3363 + }, + { + "epoch": 0.08, + "grad_norm": 1.7455786107404625, + "learning_rate": 1.9873106970184e-05, + "loss": 0.943, + "step": 3364 + }, + { + "epoch": 0.08, + "grad_norm": 2.277476436169869, + "learning_rate": 1.987298577016706e-05, + "loss": 0.9137, + "step": 3365 + }, + { + "epoch": 0.08, + "grad_norm": 1.7626902721523172, + "learning_rate": 1.9872864512666473e-05, + "loss": 0.889, + "step": 3366 + }, + { + "epoch": 0.08, + "grad_norm": 1.736809270233882, + "learning_rate": 1.987274319768294e-05, + "loss": 0.8254, + "step": 3367 + }, + { + "epoch": 0.08, + "grad_norm": 1.5584516466089746, + "learning_rate": 1.9872621825217174e-05, + "loss": 0.9061, + "step": 3368 + }, + { + "epoch": 0.08, + "grad_norm": 1.5565395220308456, + "learning_rate": 1.9872500395269876e-05, + "loss": 0.9837, + "step": 3369 + }, + { + "epoch": 0.08, + "grad_norm": 2.4107865393408745, + "learning_rate": 1.9872378907841757e-05, + "loss": 0.8162, + "step": 3370 + }, + { + "epoch": 0.08, + "grad_norm": 1.543437106161686, + "learning_rate": 1.987225736293352e-05, + "loss": 0.935, + "step": 3371 + }, + { + "epoch": 0.08, + "grad_norm": 1.6320790194712695, + "learning_rate": 1.9872135760545877e-05, + "loss": 0.9285, + "step": 3372 + }, + { + "epoch": 0.08, + "grad_norm": 1.8017101141966068, + "learning_rate": 1.9872014100679533e-05, + "loss": 0.9146, + "step": 3373 + }, + { + "epoch": 0.08, + "grad_norm": 1.9047031762956723, + "learning_rate": 1.98718923833352e-05, + "loss": 0.917, + "step": 3374 + }, + { + "epoch": 0.08, + "grad_norm": 1.941441876640537, + "learning_rate": 1.987177060851358e-05, + "loss": 0.9056, + "step": 3375 + }, + { + "epoch": 0.08, + "grad_norm": 1.8989606608198557, + "learning_rate": 1.987164877621539e-05, + "loss": 0.8399, + "step": 3376 + }, + { + "epoch": 0.08, + "grad_norm": 0.8569115141560437, + "learning_rate": 1.9871526886441334e-05, + "loss": 0.752, + "step": 3377 + }, + { + "epoch": 0.08, + "grad_norm": 1.8259901066575739, + "learning_rate": 1.9871404939192123e-05, + "loss": 0.8132, + "step": 3378 + }, + { + "epoch": 0.08, + "grad_norm": 1.674096432913074, + "learning_rate": 1.9871282934468467e-05, + "loss": 0.8992, + "step": 3379 + }, + { + "epoch": 0.08, + "grad_norm": 1.597906159433511, + "learning_rate": 1.9871160872271078e-05, + "loss": 1.008, + "step": 3380 + }, + { + "epoch": 0.08, + "grad_norm": 0.7953086652384, + "learning_rate": 1.9871038752600663e-05, + "loss": 0.7456, + "step": 3381 + }, + { + "epoch": 0.08, + "grad_norm": 0.8169952347144537, + "learning_rate": 1.987091657545794e-05, + "loss": 0.7804, + "step": 3382 + }, + { + "epoch": 0.08, + "grad_norm": 1.661181963809303, + "learning_rate": 1.9870794340843608e-05, + "loss": 1.0635, + "step": 3383 + }, + { + "epoch": 0.08, + "grad_norm": 0.821839515541472, + "learning_rate": 1.987067204875839e-05, + "loss": 0.7676, + "step": 3384 + }, + { + "epoch": 0.08, + "grad_norm": 1.8331940086679075, + "learning_rate": 1.9870549699202994e-05, + "loss": 0.9369, + "step": 3385 + }, + { + "epoch": 0.08, + "grad_norm": 1.7436655396276224, + "learning_rate": 1.9870427292178136e-05, + "loss": 1.0504, + "step": 3386 + }, + { + "epoch": 0.08, + "grad_norm": 1.9260403291275505, + "learning_rate": 1.9870304827684522e-05, + "loss": 0.9001, + "step": 3387 + }, + { + "epoch": 0.08, + "grad_norm": 1.527290078504295, + "learning_rate": 1.9870182305722867e-05, + "loss": 0.8795, + "step": 3388 + }, + { + "epoch": 0.08, + "grad_norm": 1.7426474211492922, + "learning_rate": 1.9870059726293892e-05, + "loss": 1.0042, + "step": 3389 + }, + { + "epoch": 0.08, + "grad_norm": 1.7163567683457497, + "learning_rate": 1.9869937089398296e-05, + "loss": 0.9323, + "step": 3390 + }, + { + "epoch": 0.08, + "grad_norm": 1.637572950522375, + "learning_rate": 1.986981439503681e-05, + "loss": 0.9373, + "step": 3391 + }, + { + "epoch": 0.08, + "grad_norm": 1.7497491179910292, + "learning_rate": 1.9869691643210134e-05, + "loss": 0.8091, + "step": 3392 + }, + { + "epoch": 0.08, + "grad_norm": 1.7180542059025947, + "learning_rate": 1.986956883391899e-05, + "loss": 0.8993, + "step": 3393 + }, + { + "epoch": 0.08, + "grad_norm": 1.6628402665812678, + "learning_rate": 1.9869445967164093e-05, + "loss": 1.0577, + "step": 3394 + }, + { + "epoch": 0.08, + "grad_norm": 1.6866357529839813, + "learning_rate": 1.9869323042946155e-05, + "loss": 0.9779, + "step": 3395 + }, + { + "epoch": 0.08, + "grad_norm": 1.4340677611532682, + "learning_rate": 1.9869200061265893e-05, + "loss": 0.7702, + "step": 3396 + }, + { + "epoch": 0.08, + "grad_norm": 1.5376601860807726, + "learning_rate": 1.9869077022124026e-05, + "loss": 0.9858, + "step": 3397 + }, + { + "epoch": 0.08, + "grad_norm": 1.7579528586988131, + "learning_rate": 1.9868953925521267e-05, + "loss": 0.8265, + "step": 3398 + }, + { + "epoch": 0.08, + "grad_norm": 2.418722433414733, + "learning_rate": 1.9868830771458337e-05, + "loss": 0.774, + "step": 3399 + }, + { + "epoch": 0.08, + "grad_norm": 2.2283903500155935, + "learning_rate": 1.9868707559935945e-05, + "loss": 0.9623, + "step": 3400 + }, + { + "epoch": 0.08, + "grad_norm": 1.8232536006842526, + "learning_rate": 1.9868584290954812e-05, + "loss": 0.8357, + "step": 3401 + }, + { + "epoch": 0.08, + "grad_norm": 2.387452550979432, + "learning_rate": 1.9868460964515663e-05, + "loss": 0.9387, + "step": 3402 + }, + { + "epoch": 0.08, + "grad_norm": 2.165461609432982, + "learning_rate": 1.9868337580619207e-05, + "loss": 0.8496, + "step": 3403 + }, + { + "epoch": 0.08, + "grad_norm": 1.7627060751507153, + "learning_rate": 1.9868214139266168e-05, + "loss": 0.8976, + "step": 3404 + }, + { + "epoch": 0.08, + "grad_norm": 2.923444752593228, + "learning_rate": 1.9868090640457258e-05, + "loss": 0.8329, + "step": 3405 + }, + { + "epoch": 0.08, + "grad_norm": 1.9659137595099516, + "learning_rate": 1.98679670841932e-05, + "loss": 1.0459, + "step": 3406 + }, + { + "epoch": 0.08, + "grad_norm": 2.3091032953517425, + "learning_rate": 1.9867843470474714e-05, + "loss": 0.9271, + "step": 3407 + }, + { + "epoch": 0.08, + "grad_norm": 1.5963200779558337, + "learning_rate": 1.9867719799302524e-05, + "loss": 0.9765, + "step": 3408 + }, + { + "epoch": 0.08, + "grad_norm": 2.1800065500336054, + "learning_rate": 1.986759607067734e-05, + "loss": 0.8702, + "step": 3409 + }, + { + "epoch": 0.08, + "grad_norm": 1.7400851922614138, + "learning_rate": 1.9867472284599888e-05, + "loss": 0.9994, + "step": 3410 + }, + { + "epoch": 0.08, + "grad_norm": 0.8322081626826743, + "learning_rate": 1.986734844107089e-05, + "loss": 0.7292, + "step": 3411 + }, + { + "epoch": 0.08, + "grad_norm": 2.049044595446565, + "learning_rate": 1.9867224540091064e-05, + "loss": 0.9676, + "step": 3412 + }, + { + "epoch": 0.08, + "grad_norm": 0.7964259845618457, + "learning_rate": 1.9867100581661135e-05, + "loss": 0.7609, + "step": 3413 + }, + { + "epoch": 0.08, + "grad_norm": 2.0096329055905544, + "learning_rate": 1.9866976565781823e-05, + "loss": 0.9253, + "step": 3414 + }, + { + "epoch": 0.08, + "grad_norm": 1.804026875278444, + "learning_rate": 1.9866852492453846e-05, + "loss": 0.907, + "step": 3415 + }, + { + "epoch": 0.08, + "grad_norm": 0.8102176303126266, + "learning_rate": 1.986672836167793e-05, + "loss": 0.7768, + "step": 3416 + }, + { + "epoch": 0.08, + "grad_norm": 1.5942790181036228, + "learning_rate": 1.9866604173454802e-05, + "loss": 0.833, + "step": 3417 + }, + { + "epoch": 0.08, + "grad_norm": 1.590233812591058, + "learning_rate": 1.986647992778518e-05, + "loss": 1.0054, + "step": 3418 + }, + { + "epoch": 0.08, + "grad_norm": 1.8770605917959966, + "learning_rate": 1.986635562466978e-05, + "loss": 1.031, + "step": 3419 + }, + { + "epoch": 0.08, + "grad_norm": 2.234636251540259, + "learning_rate": 1.9866231264109343e-05, + "loss": 0.8784, + "step": 3420 + }, + { + "epoch": 0.08, + "grad_norm": 1.632115863416291, + "learning_rate": 1.986610684610458e-05, + "loss": 1.0104, + "step": 3421 + }, + { + "epoch": 0.08, + "grad_norm": 1.886634163590575, + "learning_rate": 1.9865982370656224e-05, + "loss": 0.9272, + "step": 3422 + }, + { + "epoch": 0.08, + "grad_norm": 1.7685723635952926, + "learning_rate": 1.9865857837764992e-05, + "loss": 1.014, + "step": 3423 + }, + { + "epoch": 0.08, + "grad_norm": 1.6665084092324975, + "learning_rate": 1.986573324743161e-05, + "loss": 0.9061, + "step": 3424 + }, + { + "epoch": 0.08, + "grad_norm": 1.4716162564877278, + "learning_rate": 1.986560859965681e-05, + "loss": 0.851, + "step": 3425 + }, + { + "epoch": 0.08, + "grad_norm": 1.6623062593159692, + "learning_rate": 1.9865483894441312e-05, + "loss": 0.9183, + "step": 3426 + }, + { + "epoch": 0.08, + "grad_norm": 1.6551513190430882, + "learning_rate": 1.986535913178584e-05, + "loss": 0.9827, + "step": 3427 + }, + { + "epoch": 0.08, + "grad_norm": 1.5168949151755444, + "learning_rate": 1.9865234311691127e-05, + "loss": 0.8485, + "step": 3428 + }, + { + "epoch": 0.08, + "grad_norm": 1.9921767184839967, + "learning_rate": 1.9865109434157896e-05, + "loss": 0.8775, + "step": 3429 + }, + { + "epoch": 0.08, + "grad_norm": 1.7679752551969525, + "learning_rate": 1.9864984499186873e-05, + "loss": 0.8483, + "step": 3430 + }, + { + "epoch": 0.08, + "grad_norm": 1.733193688002764, + "learning_rate": 1.9864859506778787e-05, + "loss": 0.8558, + "step": 3431 + }, + { + "epoch": 0.08, + "grad_norm": 2.0008890849100838, + "learning_rate": 1.9864734456934372e-05, + "loss": 0.8404, + "step": 3432 + }, + { + "epoch": 0.08, + "grad_norm": 1.8344741007379333, + "learning_rate": 1.986460934965434e-05, + "loss": 0.9032, + "step": 3433 + }, + { + "epoch": 0.08, + "grad_norm": 1.665816027257373, + "learning_rate": 1.9864484184939438e-05, + "loss": 0.875, + "step": 3434 + }, + { + "epoch": 0.08, + "grad_norm": 1.8193789033991636, + "learning_rate": 1.986435896279038e-05, + "loss": 0.9027, + "step": 3435 + }, + { + "epoch": 0.08, + "grad_norm": 1.9821472390709574, + "learning_rate": 1.9864233683207907e-05, + "loss": 0.9668, + "step": 3436 + }, + { + "epoch": 0.08, + "grad_norm": 3.625771324896708, + "learning_rate": 1.986410834619274e-05, + "loss": 0.9174, + "step": 3437 + }, + { + "epoch": 0.08, + "grad_norm": 1.7698449050987513, + "learning_rate": 1.986398295174561e-05, + "loss": 0.9073, + "step": 3438 + }, + { + "epoch": 0.08, + "grad_norm": 1.778231159637329, + "learning_rate": 1.9863857499867248e-05, + "loss": 0.8766, + "step": 3439 + }, + { + "epoch": 0.08, + "grad_norm": 1.8082393062920465, + "learning_rate": 1.9863731990558386e-05, + "loss": 0.9248, + "step": 3440 + }, + { + "epoch": 0.08, + "grad_norm": 1.6560888860278025, + "learning_rate": 1.9863606423819753e-05, + "loss": 0.9402, + "step": 3441 + }, + { + "epoch": 0.08, + "grad_norm": 1.6119152787282374, + "learning_rate": 1.9863480799652078e-05, + "loss": 0.8863, + "step": 3442 + }, + { + "epoch": 0.08, + "grad_norm": 1.4649659640271835, + "learning_rate": 1.9863355118056102e-05, + "loss": 1.0501, + "step": 3443 + }, + { + "epoch": 0.08, + "grad_norm": 2.2510601363317275, + "learning_rate": 1.9863229379032542e-05, + "loss": 0.9259, + "step": 3444 + }, + { + "epoch": 0.08, + "grad_norm": 1.606636830844684, + "learning_rate": 1.9863103582582144e-05, + "loss": 0.8263, + "step": 3445 + }, + { + "epoch": 0.08, + "grad_norm": 1.7023530103359714, + "learning_rate": 1.9862977728705633e-05, + "loss": 0.9721, + "step": 3446 + }, + { + "epoch": 0.08, + "grad_norm": 2.0745702756197533, + "learning_rate": 1.986285181740374e-05, + "loss": 0.7891, + "step": 3447 + }, + { + "epoch": 0.08, + "grad_norm": 2.2662554459922823, + "learning_rate": 1.98627258486772e-05, + "loss": 0.8187, + "step": 3448 + }, + { + "epoch": 0.08, + "grad_norm": 1.9129652354580151, + "learning_rate": 1.9862599822526755e-05, + "loss": 0.8837, + "step": 3449 + }, + { + "epoch": 0.08, + "grad_norm": 0.7855983457205816, + "learning_rate": 1.9862473738953127e-05, + "loss": 0.758, + "step": 3450 + }, + { + "epoch": 0.08, + "grad_norm": 1.6519312992169821, + "learning_rate": 1.9862347597957054e-05, + "loss": 1.0108, + "step": 3451 + }, + { + "epoch": 0.08, + "grad_norm": 1.6929424948780163, + "learning_rate": 1.9862221399539273e-05, + "loss": 0.8807, + "step": 3452 + }, + { + "epoch": 0.08, + "grad_norm": 1.6527553444417131, + "learning_rate": 1.9862095143700512e-05, + "loss": 1.0571, + "step": 3453 + }, + { + "epoch": 0.08, + "grad_norm": 1.681742171668804, + "learning_rate": 1.986196883044152e-05, + "loss": 0.9805, + "step": 3454 + }, + { + "epoch": 0.08, + "grad_norm": 1.7176616255097565, + "learning_rate": 1.9861842459763014e-05, + "loss": 0.9363, + "step": 3455 + }, + { + "epoch": 0.08, + "grad_norm": 1.7139490041637444, + "learning_rate": 1.9861716031665744e-05, + "loss": 0.9877, + "step": 3456 + }, + { + "epoch": 0.08, + "grad_norm": 0.869220123629981, + "learning_rate": 1.986158954615044e-05, + "loss": 0.7632, + "step": 3457 + }, + { + "epoch": 0.08, + "grad_norm": 2.034452023852105, + "learning_rate": 1.986146300321784e-05, + "loss": 0.9516, + "step": 3458 + }, + { + "epoch": 0.08, + "grad_norm": 1.7902422233531916, + "learning_rate": 1.9861336402868678e-05, + "loss": 0.9418, + "step": 3459 + }, + { + "epoch": 0.08, + "grad_norm": 1.6328859997849179, + "learning_rate": 1.9861209745103693e-05, + "loss": 1.0774, + "step": 3460 + }, + { + "epoch": 0.08, + "grad_norm": 2.0559679147445133, + "learning_rate": 1.9861083029923623e-05, + "loss": 0.9649, + "step": 3461 + }, + { + "epoch": 0.08, + "grad_norm": 1.7956082174118597, + "learning_rate": 1.986095625732921e-05, + "loss": 0.7706, + "step": 3462 + }, + { + "epoch": 0.08, + "grad_norm": 1.695468268140954, + "learning_rate": 1.9860829427321184e-05, + "loss": 0.932, + "step": 3463 + }, + { + "epoch": 0.08, + "grad_norm": 2.0184027886760445, + "learning_rate": 1.9860702539900288e-05, + "loss": 0.8849, + "step": 3464 + }, + { + "epoch": 0.08, + "grad_norm": 1.573320961390596, + "learning_rate": 1.986057559506726e-05, + "loss": 0.9648, + "step": 3465 + }, + { + "epoch": 0.08, + "grad_norm": 1.5683035298350858, + "learning_rate": 1.9860448592822837e-05, + "loss": 0.9162, + "step": 3466 + }, + { + "epoch": 0.08, + "grad_norm": 1.6388181971952342, + "learning_rate": 1.9860321533167763e-05, + "loss": 0.7709, + "step": 3467 + }, + { + "epoch": 0.08, + "grad_norm": 1.6679334734485072, + "learning_rate": 1.9860194416102777e-05, + "loss": 0.9304, + "step": 3468 + }, + { + "epoch": 0.08, + "grad_norm": 1.776304656621465, + "learning_rate": 1.9860067241628616e-05, + "loss": 0.8236, + "step": 3469 + }, + { + "epoch": 0.08, + "grad_norm": 0.826077011615013, + "learning_rate": 1.985994000974602e-05, + "loss": 0.8316, + "step": 3470 + }, + { + "epoch": 0.08, + "grad_norm": 1.9486413971086083, + "learning_rate": 1.985981272045573e-05, + "loss": 0.9959, + "step": 3471 + }, + { + "epoch": 0.08, + "grad_norm": 1.7872319435308874, + "learning_rate": 1.9859685373758493e-05, + "loss": 0.9568, + "step": 3472 + }, + { + "epoch": 0.08, + "grad_norm": 1.5763918438684845, + "learning_rate": 1.9859557969655045e-05, + "loss": 0.9829, + "step": 3473 + }, + { + "epoch": 0.08, + "grad_norm": 0.8274134886615883, + "learning_rate": 1.9859430508146128e-05, + "loss": 0.7274, + "step": 3474 + }, + { + "epoch": 0.08, + "grad_norm": 1.671926885334101, + "learning_rate": 1.9859302989232486e-05, + "loss": 0.9946, + "step": 3475 + }, + { + "epoch": 0.08, + "grad_norm": 1.454118349937211, + "learning_rate": 1.9859175412914863e-05, + "loss": 1.0019, + "step": 3476 + }, + { + "epoch": 0.08, + "grad_norm": 1.7677874438221755, + "learning_rate": 1.9859047779194e-05, + "loss": 0.9554, + "step": 3477 + }, + { + "epoch": 0.08, + "grad_norm": 1.6437378964950498, + "learning_rate": 1.9858920088070636e-05, + "loss": 0.7991, + "step": 3478 + }, + { + "epoch": 0.08, + "grad_norm": 1.904295926781565, + "learning_rate": 1.9858792339545515e-05, + "loss": 0.9287, + "step": 3479 + }, + { + "epoch": 0.08, + "grad_norm": 0.7959801833577499, + "learning_rate": 1.9858664533619388e-05, + "loss": 0.6924, + "step": 3480 + }, + { + "epoch": 0.08, + "grad_norm": 1.7172925386007127, + "learning_rate": 1.9858536670292995e-05, + "loss": 0.9842, + "step": 3481 + }, + { + "epoch": 0.08, + "grad_norm": 2.1073684137890885, + "learning_rate": 1.985840874956708e-05, + "loss": 0.954, + "step": 3482 + }, + { + "epoch": 0.08, + "grad_norm": 1.8655382234059121, + "learning_rate": 1.9858280771442387e-05, + "loss": 1.0405, + "step": 3483 + }, + { + "epoch": 0.08, + "grad_norm": 1.5446576185855037, + "learning_rate": 1.985815273591966e-05, + "loss": 0.892, + "step": 3484 + }, + { + "epoch": 0.08, + "grad_norm": 0.8345834976937326, + "learning_rate": 1.9858024642999655e-05, + "loss": 0.7159, + "step": 3485 + }, + { + "epoch": 0.08, + "grad_norm": 2.1134596934291774, + "learning_rate": 1.98578964926831e-05, + "loss": 0.8974, + "step": 3486 + }, + { + "epoch": 0.08, + "grad_norm": 6.81459575511173, + "learning_rate": 1.9857768284970754e-05, + "loss": 0.9683, + "step": 3487 + }, + { + "epoch": 0.08, + "grad_norm": 1.538598629410682, + "learning_rate": 1.9857640019863364e-05, + "loss": 0.8772, + "step": 3488 + }, + { + "epoch": 0.08, + "grad_norm": 1.7204969278657725, + "learning_rate": 1.985751169736167e-05, + "loss": 1.0352, + "step": 3489 + }, + { + "epoch": 0.08, + "grad_norm": 1.6059978528088636, + "learning_rate": 1.985738331746642e-05, + "loss": 0.849, + "step": 3490 + }, + { + "epoch": 0.08, + "grad_norm": 2.254182741467438, + "learning_rate": 1.9857254880178368e-05, + "loss": 0.8811, + "step": 3491 + }, + { + "epoch": 0.08, + "grad_norm": 2.4678261602170837, + "learning_rate": 1.9857126385498255e-05, + "loss": 0.9599, + "step": 3492 + }, + { + "epoch": 0.08, + "grad_norm": 1.4414184025524188, + "learning_rate": 1.9856997833426828e-05, + "loss": 1.0627, + "step": 3493 + }, + { + "epoch": 0.08, + "grad_norm": 1.6479585584446483, + "learning_rate": 1.9856869223964844e-05, + "loss": 0.9696, + "step": 3494 + }, + { + "epoch": 0.08, + "grad_norm": 2.4090371778209185, + "learning_rate": 1.9856740557113046e-05, + "loss": 1.0387, + "step": 3495 + }, + { + "epoch": 0.08, + "grad_norm": 0.8379844266578662, + "learning_rate": 1.9856611832872185e-05, + "loss": 0.7719, + "step": 3496 + }, + { + "epoch": 0.08, + "grad_norm": 1.6881166466184496, + "learning_rate": 1.9856483051243005e-05, + "loss": 0.995, + "step": 3497 + }, + { + "epoch": 0.08, + "grad_norm": 2.7987910262596154, + "learning_rate": 1.9856354212226262e-05, + "loss": 0.9003, + "step": 3498 + }, + { + "epoch": 0.08, + "grad_norm": 1.9673955928789655, + "learning_rate": 1.9856225315822705e-05, + "loss": 1.0328, + "step": 3499 + }, + { + "epoch": 0.08, + "grad_norm": 0.7922589836091977, + "learning_rate": 1.9856096362033083e-05, + "loss": 0.7629, + "step": 3500 + }, + { + "epoch": 0.08, + "grad_norm": 2.1634334376033513, + "learning_rate": 1.9855967350858147e-05, + "loss": 0.9183, + "step": 3501 + }, + { + "epoch": 0.08, + "grad_norm": 1.8882458187407416, + "learning_rate": 1.985583828229865e-05, + "loss": 0.9477, + "step": 3502 + }, + { + "epoch": 0.08, + "grad_norm": 3.135118737806275, + "learning_rate": 1.985570915635534e-05, + "loss": 0.9901, + "step": 3503 + }, + { + "epoch": 0.08, + "grad_norm": 1.6440544834525384, + "learning_rate": 1.985557997302898e-05, + "loss": 0.9465, + "step": 3504 + }, + { + "epoch": 0.08, + "grad_norm": 1.592103434860596, + "learning_rate": 1.98554507323203e-05, + "loss": 0.9905, + "step": 3505 + }, + { + "epoch": 0.08, + "grad_norm": 1.570372349744076, + "learning_rate": 1.9855321434230075e-05, + "loss": 0.856, + "step": 3506 + }, + { + "epoch": 0.08, + "grad_norm": 1.5834526434814726, + "learning_rate": 1.9855192078759045e-05, + "loss": 0.8168, + "step": 3507 + }, + { + "epoch": 0.08, + "grad_norm": 2.3237680349657004, + "learning_rate": 1.9855062665907967e-05, + "loss": 0.9516, + "step": 3508 + }, + { + "epoch": 0.08, + "grad_norm": 1.7027388749697079, + "learning_rate": 1.9854933195677596e-05, + "loss": 0.8961, + "step": 3509 + }, + { + "epoch": 0.08, + "grad_norm": 1.6414741420247319, + "learning_rate": 1.9854803668068682e-05, + "loss": 1.0232, + "step": 3510 + }, + { + "epoch": 0.08, + "grad_norm": 1.9377793749329475, + "learning_rate": 1.985467408308198e-05, + "loss": 0.7947, + "step": 3511 + }, + { + "epoch": 0.08, + "grad_norm": 1.635009473217777, + "learning_rate": 1.9854544440718247e-05, + "loss": 0.7989, + "step": 3512 + }, + { + "epoch": 0.08, + "grad_norm": 2.02042600446278, + "learning_rate": 1.9854414740978235e-05, + "loss": 0.925, + "step": 3513 + }, + { + "epoch": 0.08, + "grad_norm": 2.2897952314581613, + "learning_rate": 1.98542849838627e-05, + "loss": 1.0802, + "step": 3514 + }, + { + "epoch": 0.08, + "grad_norm": 1.7721799420835, + "learning_rate": 1.98541551693724e-05, + "loss": 0.8191, + "step": 3515 + }, + { + "epoch": 0.08, + "grad_norm": 1.6234337466699538, + "learning_rate": 1.985402529750809e-05, + "loss": 1.003, + "step": 3516 + }, + { + "epoch": 0.08, + "grad_norm": 1.7009368359722064, + "learning_rate": 1.9853895368270524e-05, + "loss": 1.0043, + "step": 3517 + }, + { + "epoch": 0.08, + "grad_norm": 1.6327747672393413, + "learning_rate": 1.9853765381660456e-05, + "loss": 0.9955, + "step": 3518 + }, + { + "epoch": 0.08, + "grad_norm": 1.8825875159985668, + "learning_rate": 1.985363533767865e-05, + "loss": 0.9173, + "step": 3519 + }, + { + "epoch": 0.08, + "grad_norm": 1.7457912356725753, + "learning_rate": 1.9853505236325857e-05, + "loss": 1.0018, + "step": 3520 + }, + { + "epoch": 0.08, + "grad_norm": 1.6194625450598241, + "learning_rate": 1.985337507760284e-05, + "loss": 0.9933, + "step": 3521 + }, + { + "epoch": 0.08, + "grad_norm": 1.5818887166950841, + "learning_rate": 1.985324486151035e-05, + "loss": 1.0269, + "step": 3522 + }, + { + "epoch": 0.08, + "grad_norm": 2.206467649563391, + "learning_rate": 1.9853114588049154e-05, + "loss": 0.8538, + "step": 3523 + }, + { + "epoch": 0.08, + "grad_norm": 2.220013052919128, + "learning_rate": 1.9852984257220004e-05, + "loss": 0.7805, + "step": 3524 + }, + { + "epoch": 0.08, + "grad_norm": 1.6783036622445147, + "learning_rate": 1.9852853869023656e-05, + "loss": 0.9421, + "step": 3525 + }, + { + "epoch": 0.08, + "grad_norm": 2.1342126473343512, + "learning_rate": 1.9852723423460878e-05, + "loss": 1.0167, + "step": 3526 + }, + { + "epoch": 0.08, + "grad_norm": 1.5192369696529995, + "learning_rate": 1.9852592920532424e-05, + "loss": 0.9627, + "step": 3527 + }, + { + "epoch": 0.08, + "grad_norm": 0.7689744067472792, + "learning_rate": 1.9852462360239053e-05, + "loss": 0.7567, + "step": 3528 + }, + { + "epoch": 0.08, + "grad_norm": 1.5664951362304025, + "learning_rate": 1.9852331742581528e-05, + "loss": 0.9829, + "step": 3529 + }, + { + "epoch": 0.08, + "grad_norm": 1.8250006018677525, + "learning_rate": 1.9852201067560607e-05, + "loss": 1.0532, + "step": 3530 + }, + { + "epoch": 0.08, + "grad_norm": 1.636124685549085, + "learning_rate": 1.9852070335177057e-05, + "loss": 0.9572, + "step": 3531 + }, + { + "epoch": 0.08, + "grad_norm": 1.6493257337269227, + "learning_rate": 1.985193954543163e-05, + "loss": 0.806, + "step": 3532 + }, + { + "epoch": 0.08, + "grad_norm": 1.5974479025515795, + "learning_rate": 1.985180869832509e-05, + "loss": 0.9285, + "step": 3533 + }, + { + "epoch": 0.08, + "grad_norm": 2.42555859721322, + "learning_rate": 1.9851677793858206e-05, + "loss": 0.8973, + "step": 3534 + }, + { + "epoch": 0.08, + "grad_norm": 1.7498138944580244, + "learning_rate": 1.985154683203173e-05, + "loss": 1.0258, + "step": 3535 + }, + { + "epoch": 0.08, + "grad_norm": 1.7060175073414847, + "learning_rate": 1.9851415812846432e-05, + "loss": 0.9421, + "step": 3536 + }, + { + "epoch": 0.08, + "grad_norm": 1.5469884174228044, + "learning_rate": 1.985128473630307e-05, + "loss": 0.9274, + "step": 3537 + }, + { + "epoch": 0.08, + "grad_norm": 1.6650664513606221, + "learning_rate": 1.9851153602402414e-05, + "loss": 0.9775, + "step": 3538 + }, + { + "epoch": 0.08, + "grad_norm": 1.7295924757176098, + "learning_rate": 1.9851022411145222e-05, + "loss": 0.9495, + "step": 3539 + }, + { + "epoch": 0.08, + "grad_norm": 1.6017675033428402, + "learning_rate": 1.9850891162532255e-05, + "loss": 0.9876, + "step": 3540 + }, + { + "epoch": 0.08, + "grad_norm": 0.8308688130574627, + "learning_rate": 1.9850759856564285e-05, + "loss": 0.8026, + "step": 3541 + }, + { + "epoch": 0.08, + "grad_norm": 1.575559850128685, + "learning_rate": 1.9850628493242067e-05, + "loss": 0.7867, + "step": 3542 + }, + { + "epoch": 0.08, + "grad_norm": 1.4248106685418767, + "learning_rate": 1.9850497072566377e-05, + "loss": 0.9839, + "step": 3543 + }, + { + "epoch": 0.08, + "grad_norm": 1.5437533431473045, + "learning_rate": 1.9850365594537972e-05, + "loss": 0.9389, + "step": 3544 + }, + { + "epoch": 0.08, + "grad_norm": 1.7586550592036312, + "learning_rate": 1.985023405915762e-05, + "loss": 0.7404, + "step": 3545 + }, + { + "epoch": 0.08, + "grad_norm": 0.8071536160896559, + "learning_rate": 1.9850102466426086e-05, + "loss": 0.763, + "step": 3546 + }, + { + "epoch": 0.08, + "grad_norm": 1.541145445851392, + "learning_rate": 1.984997081634414e-05, + "loss": 0.8627, + "step": 3547 + }, + { + "epoch": 0.08, + "grad_norm": 1.6062703242225305, + "learning_rate": 1.9849839108912544e-05, + "loss": 0.8374, + "step": 3548 + }, + { + "epoch": 0.08, + "grad_norm": 1.5906124090369, + "learning_rate": 1.9849707344132065e-05, + "loss": 0.9046, + "step": 3549 + }, + { + "epoch": 0.08, + "grad_norm": 3.3993939027144644, + "learning_rate": 1.984957552200347e-05, + "loss": 0.8156, + "step": 3550 + }, + { + "epoch": 0.08, + "grad_norm": 1.5794653048018048, + "learning_rate": 1.984944364252753e-05, + "loss": 0.8764, + "step": 3551 + }, + { + "epoch": 0.08, + "grad_norm": 1.7530150092732923, + "learning_rate": 1.984931170570501e-05, + "loss": 0.8487, + "step": 3552 + }, + { + "epoch": 0.08, + "grad_norm": 1.5631589694284174, + "learning_rate": 1.984917971153668e-05, + "loss": 0.9207, + "step": 3553 + }, + { + "epoch": 0.08, + "grad_norm": 1.7066015308691411, + "learning_rate": 1.984904766002331e-05, + "loss": 0.8564, + "step": 3554 + }, + { + "epoch": 0.08, + "grad_norm": 1.6171739304201869, + "learning_rate": 1.984891555116566e-05, + "loss": 0.935, + "step": 3555 + }, + { + "epoch": 0.08, + "grad_norm": 0.7510049087598124, + "learning_rate": 1.9848783384964513e-05, + "loss": 0.7802, + "step": 3556 + }, + { + "epoch": 0.08, + "grad_norm": 1.8520260386356748, + "learning_rate": 1.9848651161420625e-05, + "loss": 0.8606, + "step": 3557 + }, + { + "epoch": 0.08, + "grad_norm": 1.7439646998599985, + "learning_rate": 1.9848518880534775e-05, + "loss": 0.9653, + "step": 3558 + }, + { + "epoch": 0.08, + "grad_norm": 2.0721545577424276, + "learning_rate": 1.9848386542307728e-05, + "loss": 0.7827, + "step": 3559 + }, + { + "epoch": 0.08, + "grad_norm": 1.854255456200187, + "learning_rate": 1.9848254146740257e-05, + "loss": 1.0365, + "step": 3560 + }, + { + "epoch": 0.08, + "grad_norm": 2.106000642023113, + "learning_rate": 1.9848121693833135e-05, + "loss": 0.9537, + "step": 3561 + }, + { + "epoch": 0.08, + "grad_norm": 2.2593147450651725, + "learning_rate": 1.9847989183587127e-05, + "loss": 0.9291, + "step": 3562 + }, + { + "epoch": 0.08, + "grad_norm": 0.8011124685504792, + "learning_rate": 1.9847856616003013e-05, + "loss": 0.7884, + "step": 3563 + }, + { + "epoch": 0.08, + "grad_norm": 1.9643252277014038, + "learning_rate": 1.9847723991081555e-05, + "loss": 0.9468, + "step": 3564 + }, + { + "epoch": 0.08, + "grad_norm": 2.2773353982800084, + "learning_rate": 1.9847591308823535e-05, + "loss": 0.9747, + "step": 3565 + }, + { + "epoch": 0.08, + "grad_norm": 2.165492651122838, + "learning_rate": 1.9847458569229716e-05, + "loss": 0.8995, + "step": 3566 + }, + { + "epoch": 0.08, + "grad_norm": 1.63539105443488, + "learning_rate": 1.9847325772300878e-05, + "loss": 1.0032, + "step": 3567 + }, + { + "epoch": 0.08, + "grad_norm": 1.7350856052637098, + "learning_rate": 1.984719291803779e-05, + "loss": 0.9739, + "step": 3568 + }, + { + "epoch": 0.08, + "grad_norm": 1.5590539653486326, + "learning_rate": 1.984706000644123e-05, + "loss": 0.9011, + "step": 3569 + }, + { + "epoch": 0.08, + "grad_norm": 1.7428609538245563, + "learning_rate": 1.984692703751197e-05, + "loss": 0.8841, + "step": 3570 + }, + { + "epoch": 0.08, + "grad_norm": 0.7884127499918341, + "learning_rate": 1.984679401125078e-05, + "loss": 0.7326, + "step": 3571 + }, + { + "epoch": 0.08, + "grad_norm": 2.006915165127363, + "learning_rate": 1.9846660927658437e-05, + "loss": 0.9555, + "step": 3572 + }, + { + "epoch": 0.08, + "grad_norm": 1.6748689190660397, + "learning_rate": 1.9846527786735722e-05, + "loss": 0.9943, + "step": 3573 + }, + { + "epoch": 0.08, + "grad_norm": 1.6257991685232454, + "learning_rate": 1.98463945884834e-05, + "loss": 1.0522, + "step": 3574 + }, + { + "epoch": 0.08, + "grad_norm": 1.7073994585932242, + "learning_rate": 1.984626133290225e-05, + "loss": 0.9604, + "step": 3575 + }, + { + "epoch": 0.08, + "grad_norm": 1.8736657579486113, + "learning_rate": 1.9846128019993054e-05, + "loss": 0.9447, + "step": 3576 + }, + { + "epoch": 0.08, + "grad_norm": 1.7037301499741817, + "learning_rate": 1.984599464975658e-05, + "loss": 0.9103, + "step": 3577 + }, + { + "epoch": 0.08, + "grad_norm": 1.606569134891912, + "learning_rate": 1.984586122219361e-05, + "loss": 0.7613, + "step": 3578 + }, + { + "epoch": 0.08, + "grad_norm": 2.178016755333668, + "learning_rate": 1.9845727737304917e-05, + "loss": 0.8144, + "step": 3579 + }, + { + "epoch": 0.08, + "grad_norm": 1.897905837420245, + "learning_rate": 1.9845594195091283e-05, + "loss": 0.8131, + "step": 3580 + }, + { + "epoch": 0.08, + "grad_norm": 1.5199293719651892, + "learning_rate": 1.9845460595553482e-05, + "loss": 0.8438, + "step": 3581 + }, + { + "epoch": 0.08, + "grad_norm": 1.9389640977536728, + "learning_rate": 1.9845326938692292e-05, + "loss": 0.8367, + "step": 3582 + }, + { + "epoch": 0.08, + "grad_norm": 1.5389851640560037, + "learning_rate": 1.984519322450849e-05, + "loss": 0.9839, + "step": 3583 + }, + { + "epoch": 0.08, + "grad_norm": 1.8906008379667862, + "learning_rate": 1.9845059453002858e-05, + "loss": 0.892, + "step": 3584 + }, + { + "epoch": 0.08, + "grad_norm": 0.7868038264156751, + "learning_rate": 1.984492562417617e-05, + "loss": 0.7677, + "step": 3585 + }, + { + "epoch": 0.08, + "grad_norm": 1.866570498525933, + "learning_rate": 1.984479173802921e-05, + "loss": 0.9444, + "step": 3586 + }, + { + "epoch": 0.08, + "grad_norm": 1.6112478902918412, + "learning_rate": 1.9844657794562755e-05, + "loss": 0.9563, + "step": 3587 + }, + { + "epoch": 0.08, + "grad_norm": 1.9177263418926764, + "learning_rate": 1.984452379377759e-05, + "loss": 1.0026, + "step": 3588 + }, + { + "epoch": 0.08, + "grad_norm": 1.871749652002769, + "learning_rate": 1.9844389735674484e-05, + "loss": 0.9172, + "step": 3589 + }, + { + "epoch": 0.08, + "grad_norm": 1.705771144090008, + "learning_rate": 1.9844255620254227e-05, + "loss": 0.8674, + "step": 3590 + }, + { + "epoch": 0.08, + "grad_norm": 1.8130538428943057, + "learning_rate": 1.98441214475176e-05, + "loss": 0.8661, + "step": 3591 + }, + { + "epoch": 0.08, + "grad_norm": 0.8055332296518902, + "learning_rate": 1.9843987217465378e-05, + "loss": 0.7926, + "step": 3592 + }, + { + "epoch": 0.08, + "grad_norm": 1.6550494350860305, + "learning_rate": 1.9843852930098345e-05, + "loss": 0.9827, + "step": 3593 + }, + { + "epoch": 0.08, + "grad_norm": 1.75188949341092, + "learning_rate": 1.9843718585417284e-05, + "loss": 0.8711, + "step": 3594 + }, + { + "epoch": 0.08, + "grad_norm": 1.6261462972516758, + "learning_rate": 1.9843584183422983e-05, + "loss": 0.9444, + "step": 3595 + }, + { + "epoch": 0.08, + "grad_norm": 2.1246212922895555, + "learning_rate": 1.984344972411621e-05, + "loss": 0.9243, + "step": 3596 + }, + { + "epoch": 0.08, + "grad_norm": 1.5155070870757643, + "learning_rate": 1.984331520749776e-05, + "loss": 0.9814, + "step": 3597 + }, + { + "epoch": 0.08, + "grad_norm": 1.7424982849098158, + "learning_rate": 1.9843180633568412e-05, + "loss": 1.0012, + "step": 3598 + }, + { + "epoch": 0.08, + "grad_norm": 1.9133782962071784, + "learning_rate": 1.9843046002328953e-05, + "loss": 0.9512, + "step": 3599 + }, + { + "epoch": 0.08, + "grad_norm": 1.7532410503839364, + "learning_rate": 1.984291131378016e-05, + "loss": 0.9414, + "step": 3600 + }, + { + "epoch": 0.08, + "grad_norm": 2.0276538655561445, + "learning_rate": 1.9842776567922825e-05, + "loss": 0.8959, + "step": 3601 + }, + { + "epoch": 0.08, + "grad_norm": 1.9881522218550036, + "learning_rate": 1.9842641764757724e-05, + "loss": 0.9052, + "step": 3602 + }, + { + "epoch": 0.08, + "grad_norm": 2.060358744901419, + "learning_rate": 1.984250690428565e-05, + "loss": 0.8971, + "step": 3603 + }, + { + "epoch": 0.08, + "grad_norm": 0.7582033573981979, + "learning_rate": 1.9842371986507384e-05, + "loss": 0.7122, + "step": 3604 + }, + { + "epoch": 0.08, + "grad_norm": 1.7054991618070259, + "learning_rate": 1.9842237011423712e-05, + "loss": 0.9067, + "step": 3605 + }, + { + "epoch": 0.08, + "grad_norm": 1.92543400505898, + "learning_rate": 1.9842101979035416e-05, + "loss": 0.7908, + "step": 3606 + }, + { + "epoch": 0.08, + "grad_norm": 1.7328916100034641, + "learning_rate": 1.984196688934329e-05, + "loss": 0.9139, + "step": 3607 + }, + { + "epoch": 0.09, + "grad_norm": 1.9464125297699273, + "learning_rate": 1.984183174234812e-05, + "loss": 1.0196, + "step": 3608 + }, + { + "epoch": 0.09, + "grad_norm": 1.7317890329259125, + "learning_rate": 1.9841696538050686e-05, + "loss": 0.9016, + "step": 3609 + }, + { + "epoch": 0.09, + "grad_norm": 2.495363630947435, + "learning_rate": 1.984156127645178e-05, + "loss": 0.8519, + "step": 3610 + }, + { + "epoch": 0.09, + "grad_norm": 1.8016339842797249, + "learning_rate": 1.9841425957552188e-05, + "loss": 1.0458, + "step": 3611 + }, + { + "epoch": 0.09, + "grad_norm": 1.849749261512491, + "learning_rate": 1.98412905813527e-05, + "loss": 0.9219, + "step": 3612 + }, + { + "epoch": 0.09, + "grad_norm": 1.7591711504119616, + "learning_rate": 1.98411551478541e-05, + "loss": 0.8853, + "step": 3613 + }, + { + "epoch": 0.09, + "grad_norm": 1.6874912555827302, + "learning_rate": 1.984101965705718e-05, + "loss": 1.0294, + "step": 3614 + }, + { + "epoch": 0.09, + "grad_norm": 3.072644691001653, + "learning_rate": 1.984088410896273e-05, + "loss": 0.8483, + "step": 3615 + }, + { + "epoch": 0.09, + "grad_norm": 1.7726802697610953, + "learning_rate": 1.9840748503571535e-05, + "loss": 0.9679, + "step": 3616 + }, + { + "epoch": 0.09, + "grad_norm": 0.8056911475332169, + "learning_rate": 1.9840612840884386e-05, + "loss": 0.7614, + "step": 3617 + }, + { + "epoch": 0.09, + "grad_norm": 1.8002117730741813, + "learning_rate": 1.9840477120902076e-05, + "loss": 0.9104, + "step": 3618 + }, + { + "epoch": 0.09, + "grad_norm": 1.5593636499517538, + "learning_rate": 1.984034134362539e-05, + "loss": 0.8476, + "step": 3619 + }, + { + "epoch": 0.09, + "grad_norm": 2.680321719808709, + "learning_rate": 1.9840205509055123e-05, + "loss": 0.7837, + "step": 3620 + }, + { + "epoch": 0.09, + "grad_norm": 0.7633954064909876, + "learning_rate": 1.9840069617192063e-05, + "loss": 0.7318, + "step": 3621 + }, + { + "epoch": 0.09, + "grad_norm": 1.6854771932953074, + "learning_rate": 1.9839933668037003e-05, + "loss": 0.8555, + "step": 3622 + }, + { + "epoch": 0.09, + "grad_norm": 1.6851971110819695, + "learning_rate": 1.9839797661590734e-05, + "loss": 0.8612, + "step": 3623 + }, + { + "epoch": 0.09, + "grad_norm": 0.7992861908756279, + "learning_rate": 1.9839661597854048e-05, + "loss": 0.7383, + "step": 3624 + }, + { + "epoch": 0.09, + "grad_norm": 1.6919808321021015, + "learning_rate": 1.983952547682774e-05, + "loss": 0.8645, + "step": 3625 + }, + { + "epoch": 0.09, + "grad_norm": 1.4936165286256773, + "learning_rate": 1.9839389298512593e-05, + "loss": 0.93, + "step": 3626 + }, + { + "epoch": 0.09, + "grad_norm": 1.5179159510726792, + "learning_rate": 1.9839253062909408e-05, + "loss": 1.0145, + "step": 3627 + }, + { + "epoch": 0.09, + "grad_norm": 1.8300787843881914, + "learning_rate": 1.983911677001898e-05, + "loss": 0.9995, + "step": 3628 + }, + { + "epoch": 0.09, + "grad_norm": 1.6559197516496031, + "learning_rate": 1.98389804198421e-05, + "loss": 0.9111, + "step": 3629 + }, + { + "epoch": 0.09, + "grad_norm": 1.8861237233925439, + "learning_rate": 1.9838844012379557e-05, + "loss": 0.9374, + "step": 3630 + }, + { + "epoch": 0.09, + "grad_norm": 0.7717956858542321, + "learning_rate": 1.983870754763215e-05, + "loss": 0.7334, + "step": 3631 + }, + { + "epoch": 0.09, + "grad_norm": 0.7708612082662821, + "learning_rate": 1.9838571025600674e-05, + "loss": 0.7528, + "step": 3632 + }, + { + "epoch": 0.09, + "grad_norm": 2.528368631329786, + "learning_rate": 1.983843444628592e-05, + "loss": 1.0593, + "step": 3633 + }, + { + "epoch": 0.09, + "grad_norm": 3.2464063927759423, + "learning_rate": 1.983829780968869e-05, + "loss": 0.946, + "step": 3634 + }, + { + "epoch": 0.09, + "grad_norm": 1.690035947714621, + "learning_rate": 1.9838161115809773e-05, + "loss": 0.871, + "step": 3635 + }, + { + "epoch": 0.09, + "grad_norm": 1.7680470699431812, + "learning_rate": 1.983802436464997e-05, + "loss": 0.865, + "step": 3636 + }, + { + "epoch": 0.09, + "grad_norm": 0.7986137614694451, + "learning_rate": 1.983788755621007e-05, + "loss": 0.7553, + "step": 3637 + }, + { + "epoch": 0.09, + "grad_norm": 2.010709226440249, + "learning_rate": 1.9837750690490876e-05, + "loss": 0.9517, + "step": 3638 + }, + { + "epoch": 0.09, + "grad_norm": 1.8991284809392088, + "learning_rate": 1.9837613767493186e-05, + "loss": 0.9628, + "step": 3639 + }, + { + "epoch": 0.09, + "grad_norm": 1.531529894385908, + "learning_rate": 1.983747678721779e-05, + "loss": 0.8927, + "step": 3640 + }, + { + "epoch": 0.09, + "grad_norm": 1.8424350052373855, + "learning_rate": 1.983733974966549e-05, + "loss": 1.0308, + "step": 3641 + }, + { + "epoch": 0.09, + "grad_norm": 2.089665546155778, + "learning_rate": 1.9837202654837085e-05, + "loss": 0.9848, + "step": 3642 + }, + { + "epoch": 0.09, + "grad_norm": 1.5238720219158401, + "learning_rate": 1.983706550273337e-05, + "loss": 0.9916, + "step": 3643 + }, + { + "epoch": 0.09, + "grad_norm": 1.9380393967773921, + "learning_rate": 1.9836928293355146e-05, + "loss": 0.9122, + "step": 3644 + }, + { + "epoch": 0.09, + "grad_norm": 0.7871015623896425, + "learning_rate": 1.9836791026703213e-05, + "loss": 0.7957, + "step": 3645 + }, + { + "epoch": 0.09, + "grad_norm": 1.47527701119078, + "learning_rate": 1.983665370277837e-05, + "loss": 0.8662, + "step": 3646 + }, + { + "epoch": 0.09, + "grad_norm": 2.075691867660224, + "learning_rate": 1.9836516321581408e-05, + "loss": 0.9252, + "step": 3647 + }, + { + "epoch": 0.09, + "grad_norm": 0.7945532473097955, + "learning_rate": 1.9836378883113137e-05, + "loss": 0.7157, + "step": 3648 + }, + { + "epoch": 0.09, + "grad_norm": 1.6328451127727852, + "learning_rate": 1.9836241387374354e-05, + "loss": 0.9604, + "step": 3649 + }, + { + "epoch": 0.09, + "grad_norm": 1.736362544983498, + "learning_rate": 1.9836103834365864e-05, + "loss": 0.8864, + "step": 3650 + }, + { + "epoch": 0.09, + "grad_norm": 1.7104363341272253, + "learning_rate": 1.983596622408846e-05, + "loss": 0.9534, + "step": 3651 + }, + { + "epoch": 0.09, + "grad_norm": 1.555825335572532, + "learning_rate": 1.9835828556542944e-05, + "loss": 0.8324, + "step": 3652 + }, + { + "epoch": 0.09, + "grad_norm": 1.855123099581955, + "learning_rate": 1.9835690831730125e-05, + "loss": 0.9717, + "step": 3653 + }, + { + "epoch": 0.09, + "grad_norm": 1.7676723902782134, + "learning_rate": 1.9835553049650796e-05, + "loss": 0.915, + "step": 3654 + }, + { + "epoch": 0.09, + "grad_norm": 1.9223931904827356, + "learning_rate": 1.9835415210305763e-05, + "loss": 0.9447, + "step": 3655 + }, + { + "epoch": 0.09, + "grad_norm": 0.7574160026501678, + "learning_rate": 1.983527731369583e-05, + "loss": 0.7474, + "step": 3656 + }, + { + "epoch": 0.09, + "grad_norm": 1.494691910341888, + "learning_rate": 1.98351393598218e-05, + "loss": 0.8906, + "step": 3657 + }, + { + "epoch": 0.09, + "grad_norm": 1.6749202251897721, + "learning_rate": 1.9835001348684476e-05, + "loss": 0.8928, + "step": 3658 + }, + { + "epoch": 0.09, + "grad_norm": 1.6858522590835125, + "learning_rate": 1.9834863280284657e-05, + "loss": 0.8908, + "step": 3659 + }, + { + "epoch": 0.09, + "grad_norm": 1.9551025645975015, + "learning_rate": 1.983472515462315e-05, + "loss": 0.8718, + "step": 3660 + }, + { + "epoch": 0.09, + "grad_norm": 6.9019927765866, + "learning_rate": 1.983458697170076e-05, + "loss": 0.8236, + "step": 3661 + }, + { + "epoch": 0.09, + "grad_norm": 1.5727819506422596, + "learning_rate": 1.9834448731518296e-05, + "loss": 0.9656, + "step": 3662 + }, + { + "epoch": 0.09, + "grad_norm": 0.764210656511387, + "learning_rate": 1.9834310434076553e-05, + "loss": 0.7341, + "step": 3663 + }, + { + "epoch": 0.09, + "grad_norm": 1.7629378980052064, + "learning_rate": 1.9834172079376342e-05, + "loss": 0.9108, + "step": 3664 + }, + { + "epoch": 0.09, + "grad_norm": 1.8681835931855284, + "learning_rate": 1.983403366741847e-05, + "loss": 0.9395, + "step": 3665 + }, + { + "epoch": 0.09, + "grad_norm": 1.9352368495710879, + "learning_rate": 1.9833895198203737e-05, + "loss": 0.8805, + "step": 3666 + }, + { + "epoch": 0.09, + "grad_norm": 1.6023179005495551, + "learning_rate": 1.9833756671732956e-05, + "loss": 0.8574, + "step": 3667 + }, + { + "epoch": 0.09, + "grad_norm": 2.7564573666415533, + "learning_rate": 1.983361808800693e-05, + "loss": 0.873, + "step": 3668 + }, + { + "epoch": 0.09, + "grad_norm": 1.5006425578179416, + "learning_rate": 1.9833479447026464e-05, + "loss": 0.9527, + "step": 3669 + }, + { + "epoch": 0.09, + "grad_norm": 1.7405261971325658, + "learning_rate": 1.983334074879237e-05, + "loss": 0.9775, + "step": 3670 + }, + { + "epoch": 0.09, + "grad_norm": 0.7530963105462396, + "learning_rate": 1.9833201993305452e-05, + "loss": 0.6668, + "step": 3671 + }, + { + "epoch": 0.09, + "grad_norm": 1.6419770445280812, + "learning_rate": 1.9833063180566517e-05, + "loss": 1.1111, + "step": 3672 + }, + { + "epoch": 0.09, + "grad_norm": 1.6444980562312086, + "learning_rate": 1.9832924310576377e-05, + "loss": 1.003, + "step": 3673 + }, + { + "epoch": 0.09, + "grad_norm": 0.8453964389232309, + "learning_rate": 1.983278538333584e-05, + "loss": 0.8043, + "step": 3674 + }, + { + "epoch": 0.09, + "grad_norm": 1.7591639507538428, + "learning_rate": 1.983264639884571e-05, + "loss": 1.0059, + "step": 3675 + }, + { + "epoch": 0.09, + "grad_norm": 1.6897312382602434, + "learning_rate": 1.98325073571068e-05, + "loss": 0.8942, + "step": 3676 + }, + { + "epoch": 0.09, + "grad_norm": 1.597144235283309, + "learning_rate": 1.983236825811992e-05, + "loss": 0.8472, + "step": 3677 + }, + { + "epoch": 0.09, + "grad_norm": 2.210335198206724, + "learning_rate": 1.9832229101885882e-05, + "loss": 0.8827, + "step": 3678 + }, + { + "epoch": 0.09, + "grad_norm": 0.7558508127134782, + "learning_rate": 1.983208988840549e-05, + "loss": 0.6665, + "step": 3679 + }, + { + "epoch": 0.09, + "grad_norm": 1.5661484291247771, + "learning_rate": 1.9831950617679562e-05, + "loss": 0.9516, + "step": 3680 + }, + { + "epoch": 0.09, + "grad_norm": 1.8648972129013839, + "learning_rate": 1.98318112897089e-05, + "loss": 0.8872, + "step": 3681 + }, + { + "epoch": 0.09, + "grad_norm": 3.0892667855161053, + "learning_rate": 1.983167190449432e-05, + "loss": 0.9284, + "step": 3682 + }, + { + "epoch": 0.09, + "grad_norm": 2.304375724621369, + "learning_rate": 1.9831532462036634e-05, + "loss": 0.8985, + "step": 3683 + }, + { + "epoch": 0.09, + "grad_norm": 1.5702289046700024, + "learning_rate": 1.983139296233666e-05, + "loss": 1.0458, + "step": 3684 + }, + { + "epoch": 0.09, + "grad_norm": 1.9561764161857984, + "learning_rate": 1.9831253405395196e-05, + "loss": 0.9866, + "step": 3685 + }, + { + "epoch": 0.09, + "grad_norm": 1.6245680875883521, + "learning_rate": 1.9831113791213062e-05, + "loss": 0.7821, + "step": 3686 + }, + { + "epoch": 0.09, + "grad_norm": 1.7757510330980977, + "learning_rate": 1.9830974119791075e-05, + "loss": 0.87, + "step": 3687 + }, + { + "epoch": 0.09, + "grad_norm": 1.7988592727683326, + "learning_rate": 1.9830834391130043e-05, + "loss": 0.8597, + "step": 3688 + }, + { + "epoch": 0.09, + "grad_norm": 1.733048817608301, + "learning_rate": 1.983069460523078e-05, + "loss": 0.9352, + "step": 3689 + }, + { + "epoch": 0.09, + "grad_norm": 3.2850798958373595, + "learning_rate": 1.98305547620941e-05, + "loss": 0.9207, + "step": 3690 + }, + { + "epoch": 0.09, + "grad_norm": 1.66299590501206, + "learning_rate": 1.9830414861720818e-05, + "loss": 0.914, + "step": 3691 + }, + { + "epoch": 0.09, + "grad_norm": 0.7826387912957895, + "learning_rate": 1.9830274904111754e-05, + "loss": 0.7848, + "step": 3692 + }, + { + "epoch": 0.09, + "grad_norm": 1.7448728052205567, + "learning_rate": 1.983013488926771e-05, + "loss": 0.8637, + "step": 3693 + }, + { + "epoch": 0.09, + "grad_norm": 2.0227281478758763, + "learning_rate": 1.9829994817189512e-05, + "loss": 0.803, + "step": 3694 + }, + { + "epoch": 0.09, + "grad_norm": 1.730152616685844, + "learning_rate": 1.982985468787797e-05, + "loss": 0.9254, + "step": 3695 + }, + { + "epoch": 0.09, + "grad_norm": 1.6283359492276839, + "learning_rate": 1.9829714501333905e-05, + "loss": 0.9625, + "step": 3696 + }, + { + "epoch": 0.09, + "grad_norm": 2.307792803519718, + "learning_rate": 1.9829574257558128e-05, + "loss": 0.8799, + "step": 3697 + }, + { + "epoch": 0.09, + "grad_norm": 1.6290618635228016, + "learning_rate": 1.982943395655146e-05, + "loss": 1.0441, + "step": 3698 + }, + { + "epoch": 0.09, + "grad_norm": 2.340415368749226, + "learning_rate": 1.982929359831471e-05, + "loss": 0.8501, + "step": 3699 + }, + { + "epoch": 0.09, + "grad_norm": 2.061647720647425, + "learning_rate": 1.9829153182848705e-05, + "loss": 0.9887, + "step": 3700 + }, + { + "epoch": 0.09, + "grad_norm": 1.8962624378385213, + "learning_rate": 1.9829012710154258e-05, + "loss": 1.0156, + "step": 3701 + }, + { + "epoch": 0.09, + "grad_norm": 2.511772466373624, + "learning_rate": 1.9828872180232185e-05, + "loss": 0.8455, + "step": 3702 + }, + { + "epoch": 0.09, + "grad_norm": 1.9817995388254876, + "learning_rate": 1.982873159308331e-05, + "loss": 1.0056, + "step": 3703 + }, + { + "epoch": 0.09, + "grad_norm": 1.626461395820741, + "learning_rate": 1.9828590948708446e-05, + "loss": 1.0415, + "step": 3704 + }, + { + "epoch": 0.09, + "grad_norm": 1.7404879662255415, + "learning_rate": 1.9828450247108413e-05, + "loss": 0.7702, + "step": 3705 + }, + { + "epoch": 0.09, + "grad_norm": 1.5373228994137564, + "learning_rate": 1.982830948828403e-05, + "loss": 0.836, + "step": 3706 + }, + { + "epoch": 0.09, + "grad_norm": 1.6262483064361621, + "learning_rate": 1.9828168672236125e-05, + "loss": 0.9251, + "step": 3707 + }, + { + "epoch": 0.09, + "grad_norm": 2.0763146239737966, + "learning_rate": 1.9828027798965502e-05, + "loss": 0.9781, + "step": 3708 + }, + { + "epoch": 0.09, + "grad_norm": 1.823263155540023, + "learning_rate": 1.9827886868472993e-05, + "loss": 0.9679, + "step": 3709 + }, + { + "epoch": 0.09, + "grad_norm": 1.754842306911729, + "learning_rate": 1.9827745880759414e-05, + "loss": 0.8781, + "step": 3710 + }, + { + "epoch": 0.09, + "grad_norm": 0.8097727823145283, + "learning_rate": 1.982760483582559e-05, + "loss": 0.7605, + "step": 3711 + }, + { + "epoch": 0.09, + "grad_norm": 0.801739053914763, + "learning_rate": 1.9827463733672334e-05, + "loss": 0.7855, + "step": 3712 + }, + { + "epoch": 0.09, + "grad_norm": 1.6437731544432181, + "learning_rate": 1.9827322574300477e-05, + "loss": 0.9316, + "step": 3713 + }, + { + "epoch": 0.09, + "grad_norm": 1.6677052872888065, + "learning_rate": 1.9827181357710837e-05, + "loss": 0.9399, + "step": 3714 + }, + { + "epoch": 0.09, + "grad_norm": 0.7862564767469866, + "learning_rate": 1.9827040083904236e-05, + "loss": 0.7144, + "step": 3715 + }, + { + "epoch": 0.09, + "grad_norm": 1.5374469942203386, + "learning_rate": 1.9826898752881494e-05, + "loss": 1.0456, + "step": 3716 + }, + { + "epoch": 0.09, + "grad_norm": 1.7042762335501735, + "learning_rate": 1.9826757364643435e-05, + "loss": 0.951, + "step": 3717 + }, + { + "epoch": 0.09, + "grad_norm": 0.8325970875260242, + "learning_rate": 1.9826615919190886e-05, + "loss": 0.7887, + "step": 3718 + }, + { + "epoch": 0.09, + "grad_norm": 1.7874744973006447, + "learning_rate": 1.9826474416524667e-05, + "loss": 0.9632, + "step": 3719 + }, + { + "epoch": 0.09, + "grad_norm": 0.7870927385466382, + "learning_rate": 1.9826332856645603e-05, + "loss": 0.6847, + "step": 3720 + }, + { + "epoch": 0.09, + "grad_norm": 1.6596544733548155, + "learning_rate": 1.9826191239554523e-05, + "loss": 0.9317, + "step": 3721 + }, + { + "epoch": 0.09, + "grad_norm": 2.3030048118082007, + "learning_rate": 1.9826049565252242e-05, + "loss": 0.8057, + "step": 3722 + }, + { + "epoch": 0.09, + "grad_norm": 1.5023828472161214, + "learning_rate": 1.982590783373959e-05, + "loss": 0.8534, + "step": 3723 + }, + { + "epoch": 0.09, + "grad_norm": 1.932577875427455, + "learning_rate": 1.9825766045017395e-05, + "loss": 0.944, + "step": 3724 + }, + { + "epoch": 0.09, + "grad_norm": 1.8893716013919044, + "learning_rate": 1.9825624199086473e-05, + "loss": 0.8479, + "step": 3725 + }, + { + "epoch": 0.09, + "grad_norm": 0.7934322848679225, + "learning_rate": 1.982548229594766e-05, + "loss": 0.718, + "step": 3726 + }, + { + "epoch": 0.09, + "grad_norm": 1.804153919022296, + "learning_rate": 1.9825340335601776e-05, + "loss": 0.8971, + "step": 3727 + }, + { + "epoch": 0.09, + "grad_norm": 1.6213034114709903, + "learning_rate": 1.9825198318049656e-05, + "loss": 0.8859, + "step": 3728 + }, + { + "epoch": 0.09, + "grad_norm": 1.6216679564903334, + "learning_rate": 1.9825056243292112e-05, + "loss": 0.8636, + "step": 3729 + }, + { + "epoch": 0.09, + "grad_norm": 1.6430242154151633, + "learning_rate": 1.9824914111329988e-05, + "loss": 0.8416, + "step": 3730 + }, + { + "epoch": 0.09, + "grad_norm": 1.6617923857625263, + "learning_rate": 1.98247719221641e-05, + "loss": 0.9079, + "step": 3731 + }, + { + "epoch": 0.09, + "grad_norm": 1.6851016718993574, + "learning_rate": 1.982462967579528e-05, + "loss": 1.0621, + "step": 3732 + }, + { + "epoch": 0.09, + "grad_norm": 0.803626794476327, + "learning_rate": 1.9824487372224354e-05, + "loss": 0.6958, + "step": 3733 + }, + { + "epoch": 0.09, + "grad_norm": 1.7130886535532754, + "learning_rate": 1.9824345011452152e-05, + "loss": 0.9381, + "step": 3734 + }, + { + "epoch": 0.09, + "grad_norm": 1.5561052835723101, + "learning_rate": 1.9824202593479507e-05, + "loss": 0.897, + "step": 3735 + }, + { + "epoch": 0.09, + "grad_norm": 1.6268110244159328, + "learning_rate": 1.982406011830724e-05, + "loss": 1.0133, + "step": 3736 + }, + { + "epoch": 0.09, + "grad_norm": 0.8354670538648409, + "learning_rate": 1.9823917585936185e-05, + "loss": 0.7221, + "step": 3737 + }, + { + "epoch": 0.09, + "grad_norm": 1.6153590257550965, + "learning_rate": 1.9823774996367177e-05, + "loss": 0.8853, + "step": 3738 + }, + { + "epoch": 0.09, + "grad_norm": 1.7721595565074706, + "learning_rate": 1.9823632349601033e-05, + "loss": 0.9269, + "step": 3739 + }, + { + "epoch": 0.09, + "grad_norm": 0.7599796127353998, + "learning_rate": 1.9823489645638596e-05, + "loss": 0.7098, + "step": 3740 + }, + { + "epoch": 0.09, + "grad_norm": 1.8916806402710034, + "learning_rate": 1.9823346884480694e-05, + "loss": 0.9672, + "step": 3741 + }, + { + "epoch": 0.09, + "grad_norm": 1.6818514389354073, + "learning_rate": 1.982320406612815e-05, + "loss": 0.8117, + "step": 3742 + }, + { + "epoch": 0.09, + "grad_norm": 1.9384840624013184, + "learning_rate": 1.9823061190581807e-05, + "loss": 0.8878, + "step": 3743 + }, + { + "epoch": 0.09, + "grad_norm": 0.8063339342821059, + "learning_rate": 1.982291825784249e-05, + "loss": 0.6676, + "step": 3744 + }, + { + "epoch": 0.09, + "grad_norm": 1.7471978468753884, + "learning_rate": 1.9822775267911033e-05, + "loss": 0.8825, + "step": 3745 + }, + { + "epoch": 0.09, + "grad_norm": 1.7025415444459926, + "learning_rate": 1.982263222078827e-05, + "loss": 0.8415, + "step": 3746 + }, + { + "epoch": 0.09, + "grad_norm": 1.9690259439137205, + "learning_rate": 1.982248911647503e-05, + "loss": 0.9418, + "step": 3747 + }, + { + "epoch": 0.09, + "grad_norm": 1.8339808679075904, + "learning_rate": 1.982234595497215e-05, + "loss": 0.9773, + "step": 3748 + }, + { + "epoch": 0.09, + "grad_norm": 2.232139930837333, + "learning_rate": 1.9822202736280462e-05, + "loss": 0.8711, + "step": 3749 + }, + { + "epoch": 0.09, + "grad_norm": 1.654687114275166, + "learning_rate": 1.9822059460400804e-05, + "loss": 0.95, + "step": 3750 + }, + { + "epoch": 0.09, + "grad_norm": 1.8887422581754296, + "learning_rate": 1.9821916127334e-05, + "loss": 0.8474, + "step": 3751 + }, + { + "epoch": 0.09, + "grad_norm": 1.6871134404031107, + "learning_rate": 1.9821772737080892e-05, + "loss": 0.9369, + "step": 3752 + }, + { + "epoch": 0.09, + "grad_norm": 2.0934967880497353, + "learning_rate": 1.9821629289642316e-05, + "loss": 0.8394, + "step": 3753 + }, + { + "epoch": 0.09, + "grad_norm": 1.6928971099030359, + "learning_rate": 1.9821485785019103e-05, + "loss": 0.8928, + "step": 3754 + }, + { + "epoch": 0.09, + "grad_norm": 1.6420085931473734, + "learning_rate": 1.982134222321209e-05, + "loss": 0.7725, + "step": 3755 + }, + { + "epoch": 0.09, + "grad_norm": 1.9320915580132643, + "learning_rate": 1.9821198604222114e-05, + "loss": 0.8327, + "step": 3756 + }, + { + "epoch": 0.09, + "grad_norm": 2.159177756858594, + "learning_rate": 1.9821054928050012e-05, + "loss": 0.8971, + "step": 3757 + }, + { + "epoch": 0.09, + "grad_norm": 1.7572695492117085, + "learning_rate": 1.9820911194696613e-05, + "loss": 0.9644, + "step": 3758 + }, + { + "epoch": 0.09, + "grad_norm": 2.241763530408293, + "learning_rate": 1.9820767404162765e-05, + "loss": 0.9195, + "step": 3759 + }, + { + "epoch": 0.09, + "grad_norm": 1.9348333145750538, + "learning_rate": 1.98206235564493e-05, + "loss": 0.8538, + "step": 3760 + }, + { + "epoch": 0.09, + "grad_norm": 1.7266859859232866, + "learning_rate": 1.9820479651557056e-05, + "loss": 0.867, + "step": 3761 + }, + { + "epoch": 0.09, + "grad_norm": 1.9380753688126207, + "learning_rate": 1.982033568948687e-05, + "loss": 0.985, + "step": 3762 + }, + { + "epoch": 0.09, + "grad_norm": 1.7005669541560096, + "learning_rate": 1.982019167023958e-05, + "loss": 0.9743, + "step": 3763 + }, + { + "epoch": 0.09, + "grad_norm": 3.071572832922676, + "learning_rate": 1.9820047593816024e-05, + "loss": 0.8498, + "step": 3764 + }, + { + "epoch": 0.09, + "grad_norm": 1.6058318597893402, + "learning_rate": 1.981990346021704e-05, + "loss": 0.9539, + "step": 3765 + }, + { + "epoch": 0.09, + "grad_norm": 1.662042877929629, + "learning_rate": 1.9819759269443475e-05, + "loss": 1.0079, + "step": 3766 + }, + { + "epoch": 0.09, + "grad_norm": 1.6070406464470133, + "learning_rate": 1.9819615021496158e-05, + "loss": 0.9799, + "step": 3767 + }, + { + "epoch": 0.09, + "grad_norm": 1.7389433837335964, + "learning_rate": 1.9819470716375933e-05, + "loss": 0.8604, + "step": 3768 + }, + { + "epoch": 0.09, + "grad_norm": 1.7261759652300308, + "learning_rate": 1.9819326354083644e-05, + "loss": 0.8027, + "step": 3769 + }, + { + "epoch": 0.09, + "grad_norm": 2.0712948984356614, + "learning_rate": 1.9819181934620128e-05, + "loss": 0.8935, + "step": 3770 + }, + { + "epoch": 0.09, + "grad_norm": 1.6293300340683203, + "learning_rate": 1.9819037457986224e-05, + "loss": 1.0134, + "step": 3771 + }, + { + "epoch": 0.09, + "grad_norm": 1.53040610227442, + "learning_rate": 1.9818892924182774e-05, + "loss": 0.8803, + "step": 3772 + }, + { + "epoch": 0.09, + "grad_norm": 0.7828939176351406, + "learning_rate": 1.9818748333210624e-05, + "loss": 0.7468, + "step": 3773 + }, + { + "epoch": 0.09, + "grad_norm": 3.079875363318771, + "learning_rate": 1.981860368507061e-05, + "loss": 0.8776, + "step": 3774 + }, + { + "epoch": 0.09, + "grad_norm": 1.6256582563946675, + "learning_rate": 1.981845897976358e-05, + "loss": 1.0808, + "step": 3775 + }, + { + "epoch": 0.09, + "grad_norm": 1.5463559251067467, + "learning_rate": 1.9818314217290373e-05, + "loss": 0.9781, + "step": 3776 + }, + { + "epoch": 0.09, + "grad_norm": 1.874753415885691, + "learning_rate": 1.981816939765183e-05, + "loss": 0.926, + "step": 3777 + }, + { + "epoch": 0.09, + "grad_norm": 2.7236698618027724, + "learning_rate": 1.9818024520848797e-05, + "loss": 0.9351, + "step": 3778 + }, + { + "epoch": 0.09, + "grad_norm": 2.108900943939093, + "learning_rate": 1.9817879586882117e-05, + "loss": 0.9807, + "step": 3779 + }, + { + "epoch": 0.09, + "grad_norm": 1.6671593591123102, + "learning_rate": 1.9817734595752632e-05, + "loss": 0.8275, + "step": 3780 + }, + { + "epoch": 0.09, + "grad_norm": 0.8089572380970459, + "learning_rate": 1.9817589547461193e-05, + "loss": 0.7581, + "step": 3781 + }, + { + "epoch": 0.09, + "grad_norm": 1.9084997912571033, + "learning_rate": 1.9817444442008634e-05, + "loss": 0.9061, + "step": 3782 + }, + { + "epoch": 0.09, + "grad_norm": 1.7803811975563777, + "learning_rate": 1.981729927939581e-05, + "loss": 0.7967, + "step": 3783 + }, + { + "epoch": 0.09, + "grad_norm": 1.6920208511563377, + "learning_rate": 1.981715405962356e-05, + "loss": 0.9684, + "step": 3784 + }, + { + "epoch": 0.09, + "grad_norm": 2.0646325675013233, + "learning_rate": 1.981700878269273e-05, + "loss": 0.9079, + "step": 3785 + }, + { + "epoch": 0.09, + "grad_norm": 1.697474109825748, + "learning_rate": 1.9816863448604165e-05, + "loss": 1.0157, + "step": 3786 + }, + { + "epoch": 0.09, + "grad_norm": 2.2981926787794396, + "learning_rate": 1.9816718057358715e-05, + "loss": 0.9235, + "step": 3787 + }, + { + "epoch": 0.09, + "grad_norm": 1.8141913561695422, + "learning_rate": 1.9816572608957227e-05, + "loss": 0.9452, + "step": 3788 + }, + { + "epoch": 0.09, + "grad_norm": 1.776261506500827, + "learning_rate": 1.981642710340054e-05, + "loss": 0.8602, + "step": 3789 + }, + { + "epoch": 0.09, + "grad_norm": 1.883862601068315, + "learning_rate": 1.981628154068951e-05, + "loss": 1.1352, + "step": 3790 + }, + { + "epoch": 0.09, + "grad_norm": 1.705565440818296, + "learning_rate": 1.981613592082498e-05, + "loss": 0.8745, + "step": 3791 + }, + { + "epoch": 0.09, + "grad_norm": 1.8880480856579718, + "learning_rate": 1.98159902438078e-05, + "loss": 0.8167, + "step": 3792 + }, + { + "epoch": 0.09, + "grad_norm": 1.793367228721765, + "learning_rate": 1.9815844509638817e-05, + "loss": 0.8504, + "step": 3793 + }, + { + "epoch": 0.09, + "grad_norm": 1.6106893229022727, + "learning_rate": 1.981569871831888e-05, + "loss": 0.9392, + "step": 3794 + }, + { + "epoch": 0.09, + "grad_norm": 2.1585649272858793, + "learning_rate": 1.9815552869848836e-05, + "loss": 0.9675, + "step": 3795 + }, + { + "epoch": 0.09, + "grad_norm": 0.8333111997645388, + "learning_rate": 1.9815406964229537e-05, + "loss": 0.7636, + "step": 3796 + }, + { + "epoch": 0.09, + "grad_norm": 1.84137502443352, + "learning_rate": 1.981526100146183e-05, + "loss": 0.9376, + "step": 3797 + }, + { + "epoch": 0.09, + "grad_norm": 1.8413329164572227, + "learning_rate": 1.9815114981546564e-05, + "loss": 0.9465, + "step": 3798 + }, + { + "epoch": 0.09, + "grad_norm": 1.9110984433669869, + "learning_rate": 1.9814968904484595e-05, + "loss": 0.9282, + "step": 3799 + }, + { + "epoch": 0.09, + "grad_norm": 1.792759253990416, + "learning_rate": 1.981482277027677e-05, + "loss": 0.8695, + "step": 3800 + }, + { + "epoch": 0.09, + "grad_norm": 1.8286644399092369, + "learning_rate": 1.9814676578923936e-05, + "loss": 0.9728, + "step": 3801 + }, + { + "epoch": 0.09, + "grad_norm": 1.6933951174726862, + "learning_rate": 1.981453033042695e-05, + "loss": 1.0051, + "step": 3802 + }, + { + "epoch": 0.09, + "grad_norm": 1.652163623223841, + "learning_rate": 1.981438402478666e-05, + "loss": 0.9347, + "step": 3803 + }, + { + "epoch": 0.09, + "grad_norm": 1.6470631624885594, + "learning_rate": 1.981423766200392e-05, + "loss": 0.858, + "step": 3804 + }, + { + "epoch": 0.09, + "grad_norm": 1.853415102385258, + "learning_rate": 1.9814091242079583e-05, + "loss": 0.9706, + "step": 3805 + }, + { + "epoch": 0.09, + "grad_norm": 1.8890943338281063, + "learning_rate": 1.98139447650145e-05, + "loss": 1.0061, + "step": 3806 + }, + { + "epoch": 0.09, + "grad_norm": 1.7429090855014846, + "learning_rate": 1.981379823080952e-05, + "loss": 0.9394, + "step": 3807 + }, + { + "epoch": 0.09, + "grad_norm": 1.6032178119945353, + "learning_rate": 1.98136516394655e-05, + "loss": 0.963, + "step": 3808 + }, + { + "epoch": 0.09, + "grad_norm": 1.8606715042043906, + "learning_rate": 1.9813504990983293e-05, + "loss": 0.9325, + "step": 3809 + }, + { + "epoch": 0.09, + "grad_norm": 2.183450907101736, + "learning_rate": 1.9813358285363754e-05, + "loss": 0.9627, + "step": 3810 + }, + { + "epoch": 0.09, + "grad_norm": 1.981215521668806, + "learning_rate": 1.981321152260774e-05, + "loss": 0.8495, + "step": 3811 + }, + { + "epoch": 0.09, + "grad_norm": 1.8251136490568505, + "learning_rate": 1.9813064702716094e-05, + "loss": 0.8989, + "step": 3812 + }, + { + "epoch": 0.09, + "grad_norm": 0.8292171531226409, + "learning_rate": 1.9812917825689683e-05, + "loss": 0.7037, + "step": 3813 + }, + { + "epoch": 0.09, + "grad_norm": 1.703386818124439, + "learning_rate": 1.981277089152936e-05, + "loss": 0.9584, + "step": 3814 + }, + { + "epoch": 0.09, + "grad_norm": 1.7067901121641582, + "learning_rate": 1.981262390023597e-05, + "loss": 0.9915, + "step": 3815 + }, + { + "epoch": 0.09, + "grad_norm": 0.7879534361671137, + "learning_rate": 1.9812476851810384e-05, + "loss": 0.6923, + "step": 3816 + }, + { + "epoch": 0.09, + "grad_norm": 0.7678733309501917, + "learning_rate": 1.981232974625345e-05, + "loss": 0.7854, + "step": 3817 + }, + { + "epoch": 0.09, + "grad_norm": 1.584129947951871, + "learning_rate": 1.9812182583566026e-05, + "loss": 0.9561, + "step": 3818 + }, + { + "epoch": 0.09, + "grad_norm": 1.5892123102209628, + "learning_rate": 1.981203536374897e-05, + "loss": 0.9647, + "step": 3819 + }, + { + "epoch": 0.09, + "grad_norm": 2.007839614016216, + "learning_rate": 1.9811888086803137e-05, + "loss": 0.8854, + "step": 3820 + }, + { + "epoch": 0.09, + "grad_norm": 1.8736658630455372, + "learning_rate": 1.981174075272938e-05, + "loss": 0.9365, + "step": 3821 + }, + { + "epoch": 0.09, + "grad_norm": 2.564215941872792, + "learning_rate": 1.9811593361528566e-05, + "loss": 0.9886, + "step": 3822 + }, + { + "epoch": 0.09, + "grad_norm": 1.7266424878333064, + "learning_rate": 1.981144591320155e-05, + "loss": 0.7723, + "step": 3823 + }, + { + "epoch": 0.09, + "grad_norm": 1.6362467379089884, + "learning_rate": 1.9811298407749188e-05, + "loss": 0.8544, + "step": 3824 + }, + { + "epoch": 0.09, + "grad_norm": 1.8156568573362113, + "learning_rate": 1.9811150845172342e-05, + "loss": 0.8921, + "step": 3825 + }, + { + "epoch": 0.09, + "grad_norm": 2.167850035078355, + "learning_rate": 1.981100322547187e-05, + "loss": 0.9302, + "step": 3826 + }, + { + "epoch": 0.09, + "grad_norm": 1.4943997467552412, + "learning_rate": 1.9810855548648628e-05, + "loss": 0.8773, + "step": 3827 + }, + { + "epoch": 0.09, + "grad_norm": 1.819860331161937, + "learning_rate": 1.981070781470348e-05, + "loss": 1.106, + "step": 3828 + }, + { + "epoch": 0.09, + "grad_norm": 1.7310409204092037, + "learning_rate": 1.9810560023637285e-05, + "loss": 0.9553, + "step": 3829 + }, + { + "epoch": 0.09, + "grad_norm": 2.2343807861107945, + "learning_rate": 1.9810412175450907e-05, + "loss": 0.9937, + "step": 3830 + }, + { + "epoch": 0.09, + "grad_norm": 1.7828479355128912, + "learning_rate": 1.9810264270145198e-05, + "loss": 1.0105, + "step": 3831 + }, + { + "epoch": 0.09, + "grad_norm": 1.6202970399219312, + "learning_rate": 1.9810116307721028e-05, + "loss": 0.9423, + "step": 3832 + }, + { + "epoch": 0.09, + "grad_norm": 2.1058939069536287, + "learning_rate": 1.9809968288179254e-05, + "loss": 1.0086, + "step": 3833 + }, + { + "epoch": 0.09, + "grad_norm": 1.9279992923623042, + "learning_rate": 1.980982021152074e-05, + "loss": 0.8182, + "step": 3834 + }, + { + "epoch": 0.09, + "grad_norm": 1.5270064020185061, + "learning_rate": 1.9809672077746347e-05, + "loss": 0.8785, + "step": 3835 + }, + { + "epoch": 0.09, + "grad_norm": 1.8877670510930387, + "learning_rate": 1.9809523886856937e-05, + "loss": 1.0664, + "step": 3836 + }, + { + "epoch": 0.09, + "grad_norm": 2.116724888905511, + "learning_rate": 1.9809375638853373e-05, + "loss": 0.902, + "step": 3837 + }, + { + "epoch": 0.09, + "grad_norm": 1.937635206736642, + "learning_rate": 1.9809227333736518e-05, + "loss": 0.8817, + "step": 3838 + }, + { + "epoch": 0.09, + "grad_norm": 1.6518168868806198, + "learning_rate": 1.9809078971507234e-05, + "loss": 0.9076, + "step": 3839 + }, + { + "epoch": 0.09, + "grad_norm": 1.5742629243902253, + "learning_rate": 1.980893055216639e-05, + "loss": 0.8717, + "step": 3840 + }, + { + "epoch": 0.09, + "grad_norm": 1.9481229908769777, + "learning_rate": 1.980878207571485e-05, + "loss": 0.975, + "step": 3841 + }, + { + "epoch": 0.09, + "grad_norm": 1.6898396867860244, + "learning_rate": 1.980863354215347e-05, + "loss": 0.962, + "step": 3842 + }, + { + "epoch": 0.09, + "grad_norm": 1.9967697887142002, + "learning_rate": 1.980848495148312e-05, + "loss": 0.9181, + "step": 3843 + }, + { + "epoch": 0.09, + "grad_norm": 1.896503450569554, + "learning_rate": 1.9808336303704666e-05, + "loss": 0.9331, + "step": 3844 + }, + { + "epoch": 0.09, + "grad_norm": 2.130174343270586, + "learning_rate": 1.9808187598818974e-05, + "loss": 0.9468, + "step": 3845 + }, + { + "epoch": 0.09, + "grad_norm": 1.728511125617987, + "learning_rate": 1.9808038836826906e-05, + "loss": 0.792, + "step": 3846 + }, + { + "epoch": 0.09, + "grad_norm": 1.6910867598532877, + "learning_rate": 1.980789001772933e-05, + "loss": 0.8822, + "step": 3847 + }, + { + "epoch": 0.09, + "grad_norm": 1.7787205813306315, + "learning_rate": 1.980774114152712e-05, + "loss": 0.9359, + "step": 3848 + }, + { + "epoch": 0.09, + "grad_norm": 0.8083239313725973, + "learning_rate": 1.980759220822113e-05, + "loss": 0.749, + "step": 3849 + }, + { + "epoch": 0.09, + "grad_norm": 1.7331099815858555, + "learning_rate": 1.9807443217812236e-05, + "loss": 0.8901, + "step": 3850 + }, + { + "epoch": 0.09, + "grad_norm": 1.6056337984882119, + "learning_rate": 1.9807294170301303e-05, + "loss": 0.8966, + "step": 3851 + }, + { + "epoch": 0.09, + "grad_norm": 1.6114664380539636, + "learning_rate": 1.9807145065689196e-05, + "loss": 1.0028, + "step": 3852 + }, + { + "epoch": 0.09, + "grad_norm": 1.930396221981986, + "learning_rate": 1.9806995903976785e-05, + "loss": 0.8165, + "step": 3853 + }, + { + "epoch": 0.09, + "grad_norm": 1.9821127460108472, + "learning_rate": 1.980684668516494e-05, + "loss": 0.8689, + "step": 3854 + }, + { + "epoch": 0.09, + "grad_norm": 1.9301590104083783, + "learning_rate": 1.9806697409254532e-05, + "loss": 0.8225, + "step": 3855 + }, + { + "epoch": 0.09, + "grad_norm": 2.5277268962681494, + "learning_rate": 1.9806548076246425e-05, + "loss": 0.9249, + "step": 3856 + }, + { + "epoch": 0.09, + "grad_norm": 1.5073554525539132, + "learning_rate": 1.9806398686141487e-05, + "loss": 0.911, + "step": 3857 + }, + { + "epoch": 0.09, + "grad_norm": 1.763516045914178, + "learning_rate": 1.9806249238940596e-05, + "loss": 0.9572, + "step": 3858 + }, + { + "epoch": 0.09, + "grad_norm": 1.6124163356253285, + "learning_rate": 1.9806099734644615e-05, + "loss": 0.9452, + "step": 3859 + }, + { + "epoch": 0.09, + "grad_norm": 1.6618369997292741, + "learning_rate": 1.980595017325442e-05, + "loss": 0.9072, + "step": 3860 + }, + { + "epoch": 0.09, + "grad_norm": 1.760997242442872, + "learning_rate": 1.9805800554770872e-05, + "loss": 0.8839, + "step": 3861 + }, + { + "epoch": 0.09, + "grad_norm": 1.7985864596934324, + "learning_rate": 1.980565087919485e-05, + "loss": 0.8896, + "step": 3862 + }, + { + "epoch": 0.09, + "grad_norm": 1.6438078843941926, + "learning_rate": 1.9805501146527228e-05, + "loss": 0.9444, + "step": 3863 + }, + { + "epoch": 0.09, + "grad_norm": 1.7210813662003488, + "learning_rate": 1.9805351356768872e-05, + "loss": 0.9644, + "step": 3864 + }, + { + "epoch": 0.09, + "grad_norm": 1.7759988157996098, + "learning_rate": 1.980520150992066e-05, + "loss": 0.8307, + "step": 3865 + }, + { + "epoch": 0.09, + "grad_norm": 1.5739812118213694, + "learning_rate": 1.9805051605983454e-05, + "loss": 0.8755, + "step": 3866 + }, + { + "epoch": 0.09, + "grad_norm": 0.803512400233742, + "learning_rate": 1.9804901644958137e-05, + "loss": 0.7141, + "step": 3867 + }, + { + "epoch": 0.09, + "grad_norm": 1.8603384290316705, + "learning_rate": 1.9804751626845577e-05, + "loss": 0.8271, + "step": 3868 + }, + { + "epoch": 0.09, + "grad_norm": 1.915710944043393, + "learning_rate": 1.9804601551646652e-05, + "loss": 0.9841, + "step": 3869 + }, + { + "epoch": 0.09, + "grad_norm": 1.8283908517247334, + "learning_rate": 1.980445141936223e-05, + "loss": 0.9924, + "step": 3870 + }, + { + "epoch": 0.09, + "grad_norm": 1.5933878149395118, + "learning_rate": 1.9804301229993185e-05, + "loss": 1.0466, + "step": 3871 + }, + { + "epoch": 0.09, + "grad_norm": 1.924205209536407, + "learning_rate": 1.98041509835404e-05, + "loss": 0.9749, + "step": 3872 + }, + { + "epoch": 0.09, + "grad_norm": 1.937470659286298, + "learning_rate": 1.9804000680004744e-05, + "loss": 0.9757, + "step": 3873 + }, + { + "epoch": 0.09, + "grad_norm": 1.8202406168819956, + "learning_rate": 1.9803850319387087e-05, + "loss": 0.9665, + "step": 3874 + }, + { + "epoch": 0.09, + "grad_norm": 3.2366272686403565, + "learning_rate": 1.9803699901688313e-05, + "loss": 0.9243, + "step": 3875 + }, + { + "epoch": 0.09, + "grad_norm": 1.4863850802196912, + "learning_rate": 1.9803549426909293e-05, + "loss": 0.9293, + "step": 3876 + }, + { + "epoch": 0.09, + "grad_norm": 1.708728310389718, + "learning_rate": 1.9803398895050905e-05, + "loss": 0.8704, + "step": 3877 + }, + { + "epoch": 0.09, + "grad_norm": 1.7622459165510047, + "learning_rate": 1.9803248306114026e-05, + "loss": 1.096, + "step": 3878 + }, + { + "epoch": 0.09, + "grad_norm": 1.8138914701997852, + "learning_rate": 1.980309766009953e-05, + "loss": 0.9505, + "step": 3879 + }, + { + "epoch": 0.09, + "grad_norm": 1.9011244761612367, + "learning_rate": 1.9802946957008296e-05, + "loss": 0.8428, + "step": 3880 + }, + { + "epoch": 0.09, + "grad_norm": 0.7959153169541703, + "learning_rate": 1.98027961968412e-05, + "loss": 0.7617, + "step": 3881 + }, + { + "epoch": 0.09, + "grad_norm": 1.5404131848934475, + "learning_rate": 1.9802645379599122e-05, + "loss": 0.9751, + "step": 3882 + }, + { + "epoch": 0.09, + "grad_norm": 1.6586832205135549, + "learning_rate": 1.980249450528294e-05, + "loss": 0.9569, + "step": 3883 + }, + { + "epoch": 0.09, + "grad_norm": 2.025338418374752, + "learning_rate": 1.9802343573893536e-05, + "loss": 0.9568, + "step": 3884 + }, + { + "epoch": 0.09, + "grad_norm": 2.1688016946340247, + "learning_rate": 1.9802192585431778e-05, + "loss": 0.9395, + "step": 3885 + }, + { + "epoch": 0.09, + "grad_norm": 1.787586208816512, + "learning_rate": 1.9802041539898553e-05, + "loss": 0.8327, + "step": 3886 + }, + { + "epoch": 0.09, + "grad_norm": 1.578351190166966, + "learning_rate": 1.980189043729474e-05, + "loss": 0.7359, + "step": 3887 + }, + { + "epoch": 0.09, + "grad_norm": 1.8180937716138126, + "learning_rate": 1.9801739277621215e-05, + "loss": 0.9364, + "step": 3888 + }, + { + "epoch": 0.09, + "grad_norm": 1.7654812884901774, + "learning_rate": 1.980158806087886e-05, + "loss": 0.8141, + "step": 3889 + }, + { + "epoch": 0.09, + "grad_norm": 2.2124147278661783, + "learning_rate": 1.9801436787068563e-05, + "loss": 0.9147, + "step": 3890 + }, + { + "epoch": 0.09, + "grad_norm": 1.9293924147792243, + "learning_rate": 1.980128545619119e-05, + "loss": 0.9632, + "step": 3891 + }, + { + "epoch": 0.09, + "grad_norm": 2.0572205346151, + "learning_rate": 1.9801134068247636e-05, + "loss": 0.9379, + "step": 3892 + }, + { + "epoch": 0.09, + "grad_norm": 0.9665258434986793, + "learning_rate": 1.9800982623238775e-05, + "loss": 0.7424, + "step": 3893 + }, + { + "epoch": 0.09, + "grad_norm": 1.7632206067234792, + "learning_rate": 1.9800831121165488e-05, + "loss": 0.8449, + "step": 3894 + }, + { + "epoch": 0.09, + "grad_norm": 1.8233514700913185, + "learning_rate": 1.9800679562028662e-05, + "loss": 0.8513, + "step": 3895 + }, + { + "epoch": 0.09, + "grad_norm": 0.7757382561734444, + "learning_rate": 1.9800527945829175e-05, + "loss": 0.681, + "step": 3896 + }, + { + "epoch": 0.09, + "grad_norm": 0.7810048871982305, + "learning_rate": 1.9800376272567913e-05, + "loss": 0.7813, + "step": 3897 + }, + { + "epoch": 0.09, + "grad_norm": 2.070706556404286, + "learning_rate": 1.9800224542245756e-05, + "loss": 0.9307, + "step": 3898 + }, + { + "epoch": 0.09, + "grad_norm": 1.6034887428257727, + "learning_rate": 1.980007275486359e-05, + "loss": 0.9386, + "step": 3899 + }, + { + "epoch": 0.09, + "grad_norm": 1.6853848799382654, + "learning_rate": 1.9799920910422296e-05, + "loss": 0.9672, + "step": 3900 + }, + { + "epoch": 0.09, + "grad_norm": 0.8382817079175579, + "learning_rate": 1.9799769008922762e-05, + "loss": 0.7727, + "step": 3901 + }, + { + "epoch": 0.09, + "grad_norm": 1.5748314786314552, + "learning_rate": 1.979961705036587e-05, + "loss": 0.8666, + "step": 3902 + }, + { + "epoch": 0.09, + "grad_norm": 1.7649550669273937, + "learning_rate": 1.9799465034752505e-05, + "loss": 0.9236, + "step": 3903 + }, + { + "epoch": 0.09, + "grad_norm": 1.6098864052816628, + "learning_rate": 1.979931296208355e-05, + "loss": 0.8769, + "step": 3904 + }, + { + "epoch": 0.09, + "grad_norm": 1.7073062785584017, + "learning_rate": 1.9799160832359896e-05, + "loss": 0.9991, + "step": 3905 + }, + { + "epoch": 0.09, + "grad_norm": 1.6072087343947337, + "learning_rate": 1.9799008645582424e-05, + "loss": 0.9265, + "step": 3906 + }, + { + "epoch": 0.09, + "grad_norm": 1.6007258279066383, + "learning_rate": 1.9798856401752017e-05, + "loss": 0.8164, + "step": 3907 + }, + { + "epoch": 0.09, + "grad_norm": 2.057708643038147, + "learning_rate": 1.979870410086957e-05, + "loss": 0.9073, + "step": 3908 + }, + { + "epoch": 0.09, + "grad_norm": 1.7526673385120914, + "learning_rate": 1.979855174293597e-05, + "loss": 0.9783, + "step": 3909 + }, + { + "epoch": 0.09, + "grad_norm": 0.8655256785958384, + "learning_rate": 1.9798399327952093e-05, + "loss": 0.7234, + "step": 3910 + }, + { + "epoch": 0.09, + "grad_norm": 1.846036176349655, + "learning_rate": 1.9798246855918833e-05, + "loss": 0.8376, + "step": 3911 + }, + { + "epoch": 0.09, + "grad_norm": 1.8551541170838355, + "learning_rate": 1.979809432683708e-05, + "loss": 0.8769, + "step": 3912 + }, + { + "epoch": 0.09, + "grad_norm": 1.5322425480860271, + "learning_rate": 1.9797941740707718e-05, + "loss": 1.0846, + "step": 3913 + }, + { + "epoch": 0.09, + "grad_norm": 1.8940937984295978, + "learning_rate": 1.9797789097531638e-05, + "loss": 0.9688, + "step": 3914 + }, + { + "epoch": 0.09, + "grad_norm": 0.8458198778113591, + "learning_rate": 1.979763639730973e-05, + "loss": 0.6914, + "step": 3915 + }, + { + "epoch": 0.09, + "grad_norm": 3.7337271359576203, + "learning_rate": 1.979748364004288e-05, + "loss": 0.7788, + "step": 3916 + }, + { + "epoch": 0.09, + "grad_norm": 1.7223545143912016, + "learning_rate": 1.9797330825731976e-05, + "loss": 0.8659, + "step": 3917 + }, + { + "epoch": 0.09, + "grad_norm": 2.111310165991768, + "learning_rate": 1.979717795437791e-05, + "loss": 0.9418, + "step": 3918 + }, + { + "epoch": 0.09, + "grad_norm": 1.6689596323585623, + "learning_rate": 1.9797025025981576e-05, + "loss": 1.0303, + "step": 3919 + }, + { + "epoch": 0.09, + "grad_norm": 2.4139669556974823, + "learning_rate": 1.979687204054386e-05, + "loss": 0.8579, + "step": 3920 + }, + { + "epoch": 0.09, + "grad_norm": 1.709891203494449, + "learning_rate": 1.9796718998065653e-05, + "loss": 0.8914, + "step": 3921 + }, + { + "epoch": 0.09, + "grad_norm": 2.031406753995376, + "learning_rate": 1.9796565898547845e-05, + "loss": 0.9051, + "step": 3922 + }, + { + "epoch": 0.09, + "grad_norm": 2.264380359728782, + "learning_rate": 1.979641274199133e-05, + "loss": 1.0161, + "step": 3923 + }, + { + "epoch": 0.09, + "grad_norm": 2.73791772543447, + "learning_rate": 1.9796259528396998e-05, + "loss": 1.012, + "step": 3924 + }, + { + "epoch": 0.09, + "grad_norm": 1.8385639496017956, + "learning_rate": 1.979610625776574e-05, + "loss": 1.0884, + "step": 3925 + }, + { + "epoch": 0.09, + "grad_norm": 1.657527092988495, + "learning_rate": 1.9795952930098453e-05, + "loss": 0.9624, + "step": 3926 + }, + { + "epoch": 0.09, + "grad_norm": 2.638257196075443, + "learning_rate": 1.9795799545396022e-05, + "loss": 0.8647, + "step": 3927 + }, + { + "epoch": 0.09, + "grad_norm": 2.336824227905678, + "learning_rate": 1.9795646103659346e-05, + "loss": 0.8923, + "step": 3928 + }, + { + "epoch": 0.09, + "grad_norm": 2.019024468133063, + "learning_rate": 1.9795492604889323e-05, + "loss": 0.8537, + "step": 3929 + }, + { + "epoch": 0.09, + "grad_norm": 1.6923881991795133, + "learning_rate": 1.9795339049086837e-05, + "loss": 0.9219, + "step": 3930 + }, + { + "epoch": 0.09, + "grad_norm": 4.515911669068663, + "learning_rate": 1.9795185436252785e-05, + "loss": 0.9908, + "step": 3931 + }, + { + "epoch": 0.09, + "grad_norm": 1.7392694083425106, + "learning_rate": 1.9795031766388063e-05, + "loss": 0.7749, + "step": 3932 + }, + { + "epoch": 0.09, + "grad_norm": 1.795736181676135, + "learning_rate": 1.9794878039493564e-05, + "loss": 1.042, + "step": 3933 + }, + { + "epoch": 0.09, + "grad_norm": 1.7652968347411837, + "learning_rate": 1.9794724255570187e-05, + "loss": 0.9355, + "step": 3934 + }, + { + "epoch": 0.09, + "grad_norm": 1.6785152943107071, + "learning_rate": 1.9794570414618823e-05, + "loss": 0.8641, + "step": 3935 + }, + { + "epoch": 0.09, + "grad_norm": 1.9614415257158895, + "learning_rate": 1.9794416516640365e-05, + "loss": 0.8824, + "step": 3936 + }, + { + "epoch": 0.09, + "grad_norm": 1.4877354087789, + "learning_rate": 1.9794262561635716e-05, + "loss": 1.008, + "step": 3937 + }, + { + "epoch": 0.09, + "grad_norm": 2.3123995936702526, + "learning_rate": 1.9794108549605774e-05, + "loss": 0.9798, + "step": 3938 + }, + { + "epoch": 0.09, + "grad_norm": 1.8342262294962708, + "learning_rate": 1.979395448055143e-05, + "loss": 0.909, + "step": 3939 + }, + { + "epoch": 0.09, + "grad_norm": 1.6551978293033047, + "learning_rate": 1.9793800354473575e-05, + "loss": 0.909, + "step": 3940 + }, + { + "epoch": 0.09, + "grad_norm": 1.6623678258604033, + "learning_rate": 1.979364617137312e-05, + "loss": 1.0007, + "step": 3941 + }, + { + "epoch": 0.09, + "grad_norm": 1.686510967088842, + "learning_rate": 1.9793491931250955e-05, + "loss": 1.0173, + "step": 3942 + }, + { + "epoch": 0.09, + "grad_norm": 2.054677766643272, + "learning_rate": 1.9793337634107977e-05, + "loss": 0.8962, + "step": 3943 + }, + { + "epoch": 0.09, + "grad_norm": 1.6926296851871878, + "learning_rate": 1.9793183279945093e-05, + "loss": 0.9304, + "step": 3944 + }, + { + "epoch": 0.09, + "grad_norm": 0.803231352882931, + "learning_rate": 1.979302886876319e-05, + "loss": 0.7464, + "step": 3945 + }, + { + "epoch": 0.09, + "grad_norm": 1.6443144190671966, + "learning_rate": 1.9792874400563172e-05, + "loss": 0.9676, + "step": 3946 + }, + { + "epoch": 0.09, + "grad_norm": 1.5945501224615788, + "learning_rate": 1.979271987534594e-05, + "loss": 0.9445, + "step": 3947 + }, + { + "epoch": 0.09, + "grad_norm": 2.020930095368236, + "learning_rate": 1.9792565293112396e-05, + "loss": 0.9793, + "step": 3948 + }, + { + "epoch": 0.09, + "grad_norm": 1.8206987711568285, + "learning_rate": 1.9792410653863436e-05, + "loss": 0.9527, + "step": 3949 + }, + { + "epoch": 0.09, + "grad_norm": 1.98770030072312, + "learning_rate": 1.9792255957599956e-05, + "loss": 0.8849, + "step": 3950 + }, + { + "epoch": 0.09, + "grad_norm": 1.7502711853938169, + "learning_rate": 1.9792101204322866e-05, + "loss": 0.9078, + "step": 3951 + }, + { + "epoch": 0.09, + "grad_norm": 1.656339222446456, + "learning_rate": 1.979194639403306e-05, + "loss": 0.9871, + "step": 3952 + }, + { + "epoch": 0.09, + "grad_norm": 1.8528545496342335, + "learning_rate": 1.9791791526731444e-05, + "loss": 0.8498, + "step": 3953 + }, + { + "epoch": 0.09, + "grad_norm": 1.9090779172499914, + "learning_rate": 1.9791636602418916e-05, + "loss": 1.064, + "step": 3954 + }, + { + "epoch": 0.09, + "grad_norm": 1.5591945119282307, + "learning_rate": 1.979148162109638e-05, + "loss": 0.7574, + "step": 3955 + }, + { + "epoch": 0.09, + "grad_norm": 1.6769523183905441, + "learning_rate": 1.9791326582764742e-05, + "loss": 0.8429, + "step": 3956 + }, + { + "epoch": 0.09, + "grad_norm": 1.746396555342519, + "learning_rate": 1.9791171487424895e-05, + "loss": 0.9608, + "step": 3957 + }, + { + "epoch": 0.09, + "grad_norm": 1.9597041789164642, + "learning_rate": 1.979101633507775e-05, + "loss": 0.9868, + "step": 3958 + }, + { + "epoch": 0.09, + "grad_norm": 1.829194129926128, + "learning_rate": 1.979086112572421e-05, + "loss": 0.9835, + "step": 3959 + }, + { + "epoch": 0.09, + "grad_norm": 1.709363563261955, + "learning_rate": 1.9790705859365178e-05, + "loss": 1.0895, + "step": 3960 + }, + { + "epoch": 0.09, + "grad_norm": 0.841209408887883, + "learning_rate": 1.9790550536001554e-05, + "loss": 0.7282, + "step": 3961 + }, + { + "epoch": 0.09, + "grad_norm": 1.910360830037553, + "learning_rate": 1.9790395155634243e-05, + "loss": 0.9931, + "step": 3962 + }, + { + "epoch": 0.09, + "grad_norm": 2.0613251553582383, + "learning_rate": 1.9790239718264155e-05, + "loss": 0.7817, + "step": 3963 + }, + { + "epoch": 0.09, + "grad_norm": 1.796558146684219, + "learning_rate": 1.9790084223892192e-05, + "loss": 0.8978, + "step": 3964 + }, + { + "epoch": 0.09, + "grad_norm": 1.641573107311541, + "learning_rate": 1.978992867251926e-05, + "loss": 1.0065, + "step": 3965 + }, + { + "epoch": 0.09, + "grad_norm": 1.6602328230224477, + "learning_rate": 1.9789773064146257e-05, + "loss": 0.9588, + "step": 3966 + }, + { + "epoch": 0.09, + "grad_norm": 2.1310633358432685, + "learning_rate": 1.97896173987741e-05, + "loss": 0.8875, + "step": 3967 + }, + { + "epoch": 0.09, + "grad_norm": 1.544861327569847, + "learning_rate": 1.9789461676403694e-05, + "loss": 0.9081, + "step": 3968 + }, + { + "epoch": 0.09, + "grad_norm": 1.7013591452577532, + "learning_rate": 1.9789305897035942e-05, + "loss": 0.8898, + "step": 3969 + }, + { + "epoch": 0.09, + "grad_norm": 1.9901512628057827, + "learning_rate": 1.978915006067175e-05, + "loss": 0.9197, + "step": 3970 + }, + { + "epoch": 0.09, + "grad_norm": 2.180440133248528, + "learning_rate": 1.978899416731203e-05, + "loss": 0.8555, + "step": 3971 + }, + { + "epoch": 0.09, + "grad_norm": 1.4244417777028522, + "learning_rate": 1.978883821695768e-05, + "loss": 0.7896, + "step": 3972 + }, + { + "epoch": 0.09, + "grad_norm": 1.830392788828692, + "learning_rate": 1.978868220960962e-05, + "loss": 0.9525, + "step": 3973 + }, + { + "epoch": 0.09, + "grad_norm": 1.7709549324600726, + "learning_rate": 1.9788526145268752e-05, + "loss": 0.8583, + "step": 3974 + }, + { + "epoch": 0.09, + "grad_norm": 1.9741385501675466, + "learning_rate": 1.978837002393599e-05, + "loss": 0.979, + "step": 3975 + }, + { + "epoch": 0.09, + "grad_norm": 1.7218487402865916, + "learning_rate": 1.9788213845612233e-05, + "loss": 0.8606, + "step": 3976 + }, + { + "epoch": 0.09, + "grad_norm": 1.781829680643822, + "learning_rate": 1.9788057610298396e-05, + "loss": 0.9509, + "step": 3977 + }, + { + "epoch": 0.09, + "grad_norm": 1.809881066702976, + "learning_rate": 1.9787901317995393e-05, + "loss": 0.8704, + "step": 3978 + }, + { + "epoch": 0.09, + "grad_norm": 2.203600841951371, + "learning_rate": 1.9787744968704125e-05, + "loss": 0.999, + "step": 3979 + }, + { + "epoch": 0.09, + "grad_norm": 1.6581326712694935, + "learning_rate": 1.9787588562425514e-05, + "loss": 1.0055, + "step": 3980 + }, + { + "epoch": 0.09, + "grad_norm": 1.6351184215401222, + "learning_rate": 1.9787432099160457e-05, + "loss": 1.0008, + "step": 3981 + }, + { + "epoch": 0.09, + "grad_norm": 1.8015561510447302, + "learning_rate": 1.9787275578909873e-05, + "loss": 0.7916, + "step": 3982 + }, + { + "epoch": 0.09, + "grad_norm": 1.9304330233038507, + "learning_rate": 1.9787119001674677e-05, + "loss": 0.9259, + "step": 3983 + }, + { + "epoch": 0.09, + "grad_norm": 1.7068961950243513, + "learning_rate": 1.978696236745577e-05, + "loss": 1.0679, + "step": 3984 + }, + { + "epoch": 0.09, + "grad_norm": 1.926860818143291, + "learning_rate": 1.978680567625407e-05, + "loss": 0.8604, + "step": 3985 + }, + { + "epoch": 0.09, + "grad_norm": 0.8348183633911098, + "learning_rate": 1.9786648928070493e-05, + "loss": 0.7114, + "step": 3986 + }, + { + "epoch": 0.09, + "grad_norm": 1.7132481008088862, + "learning_rate": 1.978649212290594e-05, + "loss": 0.8312, + "step": 3987 + }, + { + "epoch": 0.09, + "grad_norm": 2.4455284407831925, + "learning_rate": 1.978633526076134e-05, + "loss": 0.9749, + "step": 3988 + }, + { + "epoch": 0.09, + "grad_norm": 0.7884550934126916, + "learning_rate": 1.9786178341637594e-05, + "loss": 0.7362, + "step": 3989 + }, + { + "epoch": 0.09, + "grad_norm": 1.8075934683345098, + "learning_rate": 1.9786021365535616e-05, + "loss": 0.8275, + "step": 3990 + }, + { + "epoch": 0.09, + "grad_norm": 1.8355454692444002, + "learning_rate": 1.9785864332456327e-05, + "loss": 0.841, + "step": 3991 + }, + { + "epoch": 0.09, + "grad_norm": 1.5146829282515482, + "learning_rate": 1.9785707242400638e-05, + "loss": 0.8649, + "step": 3992 + }, + { + "epoch": 0.09, + "grad_norm": 1.674054719253842, + "learning_rate": 1.9785550095369465e-05, + "loss": 0.9315, + "step": 3993 + }, + { + "epoch": 0.09, + "grad_norm": 1.481881000388384, + "learning_rate": 1.9785392891363718e-05, + "loss": 0.8895, + "step": 3994 + }, + { + "epoch": 0.09, + "grad_norm": 2.0096625747318173, + "learning_rate": 1.9785235630384316e-05, + "loss": 0.8506, + "step": 3995 + }, + { + "epoch": 0.09, + "grad_norm": 2.132639318823953, + "learning_rate": 1.9785078312432176e-05, + "loss": 0.7753, + "step": 3996 + }, + { + "epoch": 0.09, + "grad_norm": 2.3347259076730627, + "learning_rate": 1.9784920937508208e-05, + "loss": 0.922, + "step": 3997 + }, + { + "epoch": 0.09, + "grad_norm": 1.696057424904861, + "learning_rate": 1.978476350561334e-05, + "loss": 1.0335, + "step": 3998 + }, + { + "epoch": 0.09, + "grad_norm": 1.8415906836599731, + "learning_rate": 1.9784606016748474e-05, + "loss": 0.9765, + "step": 3999 + }, + { + "epoch": 0.09, + "grad_norm": 1.443852472406114, + "learning_rate": 1.9784448470914538e-05, + "loss": 0.836, + "step": 4000 + }, + { + "epoch": 0.09, + "grad_norm": 1.9004069468011968, + "learning_rate": 1.9784290868112442e-05, + "loss": 0.9138, + "step": 4001 + }, + { + "epoch": 0.09, + "grad_norm": 1.5786722968018712, + "learning_rate": 1.978413320834311e-05, + "loss": 0.9541, + "step": 4002 + }, + { + "epoch": 0.09, + "grad_norm": 1.7670834361814247, + "learning_rate": 1.9783975491607457e-05, + "loss": 0.9196, + "step": 4003 + }, + { + "epoch": 0.09, + "grad_norm": 1.9136347650237695, + "learning_rate": 1.9783817717906398e-05, + "loss": 0.8165, + "step": 4004 + }, + { + "epoch": 0.09, + "grad_norm": 1.7958656551809582, + "learning_rate": 1.9783659887240855e-05, + "loss": 0.9123, + "step": 4005 + }, + { + "epoch": 0.09, + "grad_norm": 1.7144699927456255, + "learning_rate": 1.978350199961175e-05, + "loss": 1.0152, + "step": 4006 + }, + { + "epoch": 0.09, + "grad_norm": 1.8654289126993675, + "learning_rate": 1.978334405502e-05, + "loss": 0.9311, + "step": 4007 + }, + { + "epoch": 0.09, + "grad_norm": 1.934616475129806, + "learning_rate": 1.9783186053466518e-05, + "loss": 0.9488, + "step": 4008 + }, + { + "epoch": 0.09, + "grad_norm": 1.7993893231539548, + "learning_rate": 1.9783027994952233e-05, + "loss": 0.9771, + "step": 4009 + }, + { + "epoch": 0.09, + "grad_norm": 2.255138676709329, + "learning_rate": 1.9782869879478058e-05, + "loss": 0.9549, + "step": 4010 + }, + { + "epoch": 0.09, + "grad_norm": 1.6933050424665697, + "learning_rate": 1.9782711707044923e-05, + "loss": 0.7827, + "step": 4011 + }, + { + "epoch": 0.09, + "grad_norm": 1.929029065360081, + "learning_rate": 1.9782553477653738e-05, + "loss": 0.8984, + "step": 4012 + }, + { + "epoch": 0.09, + "grad_norm": 0.7940788332540929, + "learning_rate": 1.9782395191305436e-05, + "loss": 0.7312, + "step": 4013 + }, + { + "epoch": 0.09, + "grad_norm": 1.9549297643031702, + "learning_rate": 1.9782236848000927e-05, + "loss": 0.9378, + "step": 4014 + }, + { + "epoch": 0.09, + "grad_norm": 1.9092783560951885, + "learning_rate": 1.9782078447741136e-05, + "loss": 1.1542, + "step": 4015 + }, + { + "epoch": 0.09, + "grad_norm": 1.7159451357926667, + "learning_rate": 1.9781919990526993e-05, + "loss": 0.9816, + "step": 4016 + }, + { + "epoch": 0.09, + "grad_norm": 0.7846254652773358, + "learning_rate": 1.9781761476359414e-05, + "loss": 0.7502, + "step": 4017 + }, + { + "epoch": 0.09, + "grad_norm": 1.9119070983893696, + "learning_rate": 1.9781602905239323e-05, + "loss": 1.0127, + "step": 4018 + }, + { + "epoch": 0.09, + "grad_norm": 1.6319621859906523, + "learning_rate": 1.978144427716764e-05, + "loss": 0.9001, + "step": 4019 + }, + { + "epoch": 0.09, + "grad_norm": 1.7869002676856207, + "learning_rate": 1.9781285592145292e-05, + "loss": 0.9561, + "step": 4020 + }, + { + "epoch": 0.09, + "grad_norm": 1.7721848949404566, + "learning_rate": 1.9781126850173204e-05, + "loss": 1.0499, + "step": 4021 + }, + { + "epoch": 0.09, + "grad_norm": 0.7671685146599444, + "learning_rate": 1.97809680512523e-05, + "loss": 0.7641, + "step": 4022 + }, + { + "epoch": 0.09, + "grad_norm": 1.7456537823726854, + "learning_rate": 1.9780809195383498e-05, + "loss": 0.8626, + "step": 4023 + }, + { + "epoch": 0.09, + "grad_norm": 1.6011132769482748, + "learning_rate": 1.9780650282567737e-05, + "loss": 0.9866, + "step": 4024 + }, + { + "epoch": 0.09, + "grad_norm": 1.6572412350298145, + "learning_rate": 1.9780491312805927e-05, + "loss": 1.0902, + "step": 4025 + }, + { + "epoch": 0.09, + "grad_norm": 1.8798191374980648, + "learning_rate": 1.9780332286099004e-05, + "loss": 0.9995, + "step": 4026 + }, + { + "epoch": 0.09, + "grad_norm": 1.5304862894645517, + "learning_rate": 1.9780173202447885e-05, + "loss": 0.9865, + "step": 4027 + }, + { + "epoch": 0.09, + "grad_norm": 1.831294564905965, + "learning_rate": 1.9780014061853506e-05, + "loss": 0.96, + "step": 4028 + }, + { + "epoch": 0.09, + "grad_norm": 2.1835421977980176, + "learning_rate": 1.9779854864316784e-05, + "loss": 1.0224, + "step": 4029 + }, + { + "epoch": 0.09, + "grad_norm": 1.6863362218276605, + "learning_rate": 1.9779695609838656e-05, + "loss": 0.9336, + "step": 4030 + }, + { + "epoch": 0.09, + "grad_norm": 1.8049418090697449, + "learning_rate": 1.9779536298420042e-05, + "loss": 0.9807, + "step": 4031 + }, + { + "epoch": 0.09, + "grad_norm": 1.648111718501788, + "learning_rate": 1.977937693006187e-05, + "loss": 0.9424, + "step": 4032 + }, + { + "epoch": 0.1, + "grad_norm": 1.603243240764367, + "learning_rate": 1.9779217504765072e-05, + "loss": 1.0846, + "step": 4033 + }, + { + "epoch": 0.1, + "grad_norm": 2.0359402381385623, + "learning_rate": 1.9779058022530572e-05, + "loss": 0.9167, + "step": 4034 + }, + { + "epoch": 0.1, + "grad_norm": 4.281915931386886, + "learning_rate": 1.97788984833593e-05, + "loss": 0.9221, + "step": 4035 + }, + { + "epoch": 0.1, + "grad_norm": 1.6311182071357888, + "learning_rate": 1.9778738887252187e-05, + "loss": 0.8311, + "step": 4036 + }, + { + "epoch": 0.1, + "grad_norm": 0.8571263973315192, + "learning_rate": 1.977857923421016e-05, + "loss": 0.7784, + "step": 4037 + }, + { + "epoch": 0.1, + "grad_norm": 1.5938834675270883, + "learning_rate": 1.9778419524234148e-05, + "loss": 0.9038, + "step": 4038 + }, + { + "epoch": 0.1, + "grad_norm": 0.7839794188610911, + "learning_rate": 1.977825975732508e-05, + "loss": 0.6876, + "step": 4039 + }, + { + "epoch": 0.1, + "grad_norm": 1.7159021359885518, + "learning_rate": 1.977809993348389e-05, + "loss": 0.8486, + "step": 4040 + }, + { + "epoch": 0.1, + "grad_norm": 1.7024541949120484, + "learning_rate": 1.9777940052711506e-05, + "loss": 0.9487, + "step": 4041 + }, + { + "epoch": 0.1, + "grad_norm": 2.5225534017737488, + "learning_rate": 1.977778011500886e-05, + "loss": 0.9855, + "step": 4042 + }, + { + "epoch": 0.1, + "grad_norm": 0.9018686491543193, + "learning_rate": 1.977762012037688e-05, + "loss": 0.7803, + "step": 4043 + }, + { + "epoch": 0.1, + "grad_norm": 1.6138045509523589, + "learning_rate": 1.9777460068816503e-05, + "loss": 0.8116, + "step": 4044 + }, + { + "epoch": 0.1, + "grad_norm": 1.8679762481395772, + "learning_rate": 1.9777299960328657e-05, + "loss": 0.9449, + "step": 4045 + }, + { + "epoch": 0.1, + "grad_norm": 1.7050317105795891, + "learning_rate": 1.9777139794914276e-05, + "loss": 0.9075, + "step": 4046 + }, + { + "epoch": 0.1, + "grad_norm": 0.7777976914441861, + "learning_rate": 1.9776979572574292e-05, + "loss": 0.7616, + "step": 4047 + }, + { + "epoch": 0.1, + "grad_norm": 1.7098525944561327, + "learning_rate": 1.9776819293309636e-05, + "loss": 0.9699, + "step": 4048 + }, + { + "epoch": 0.1, + "grad_norm": 2.333350602458244, + "learning_rate": 1.9776658957121242e-05, + "loss": 0.9529, + "step": 4049 + }, + { + "epoch": 0.1, + "grad_norm": 1.8227804406140806, + "learning_rate": 1.9776498564010045e-05, + "loss": 0.9936, + "step": 4050 + }, + { + "epoch": 0.1, + "grad_norm": 1.6413270517198137, + "learning_rate": 1.977633811397698e-05, + "loss": 0.8076, + "step": 4051 + }, + { + "epoch": 0.1, + "grad_norm": 1.5998701616703674, + "learning_rate": 1.9776177607022976e-05, + "loss": 0.881, + "step": 4052 + }, + { + "epoch": 0.1, + "grad_norm": 0.8259717400360562, + "learning_rate": 1.9776017043148975e-05, + "loss": 0.7456, + "step": 4053 + }, + { + "epoch": 0.1, + "grad_norm": 1.9009414534747262, + "learning_rate": 1.9775856422355904e-05, + "loss": 0.9896, + "step": 4054 + }, + { + "epoch": 0.1, + "grad_norm": 1.606682118086946, + "learning_rate": 1.9775695744644706e-05, + "loss": 0.7808, + "step": 4055 + }, + { + "epoch": 0.1, + "grad_norm": 1.7344199929188653, + "learning_rate": 1.977553501001631e-05, + "loss": 1.0229, + "step": 4056 + }, + { + "epoch": 0.1, + "grad_norm": 1.5010876239876403, + "learning_rate": 1.9775374218471653e-05, + "loss": 0.8975, + "step": 4057 + }, + { + "epoch": 0.1, + "grad_norm": 1.9837998303952062, + "learning_rate": 1.9775213370011675e-05, + "loss": 1.0449, + "step": 4058 + }, + { + "epoch": 0.1, + "grad_norm": 1.5178684850683952, + "learning_rate": 1.9775052464637306e-05, + "loss": 0.8604, + "step": 4059 + }, + { + "epoch": 0.1, + "grad_norm": 1.7735193622347014, + "learning_rate": 1.9774891502349493e-05, + "loss": 0.8647, + "step": 4060 + }, + { + "epoch": 0.1, + "grad_norm": 2.8560475149155415, + "learning_rate": 1.9774730483149166e-05, + "loss": 0.8262, + "step": 4061 + }, + { + "epoch": 0.1, + "grad_norm": 1.8068094188381234, + "learning_rate": 1.977456940703726e-05, + "loss": 0.9883, + "step": 4062 + }, + { + "epoch": 0.1, + "grad_norm": 2.16388520513654, + "learning_rate": 1.9774408274014715e-05, + "loss": 0.915, + "step": 4063 + }, + { + "epoch": 0.1, + "grad_norm": 1.5107571900918317, + "learning_rate": 1.9774247084082474e-05, + "loss": 0.7985, + "step": 4064 + }, + { + "epoch": 0.1, + "grad_norm": 3.7379651552913526, + "learning_rate": 1.977408583724147e-05, + "loss": 0.8805, + "step": 4065 + }, + { + "epoch": 0.1, + "grad_norm": 0.7957189945652521, + "learning_rate": 1.9773924533492646e-05, + "loss": 0.7336, + "step": 4066 + }, + { + "epoch": 0.1, + "grad_norm": 0.763053696089848, + "learning_rate": 1.9773763172836936e-05, + "loss": 0.7782, + "step": 4067 + }, + { + "epoch": 0.1, + "grad_norm": 1.594459402524619, + "learning_rate": 1.9773601755275287e-05, + "loss": 0.8097, + "step": 4068 + }, + { + "epoch": 0.1, + "grad_norm": 1.6363857187665751, + "learning_rate": 1.9773440280808633e-05, + "loss": 1.0425, + "step": 4069 + }, + { + "epoch": 0.1, + "grad_norm": 1.779081841178094, + "learning_rate": 1.9773278749437912e-05, + "loss": 0.7896, + "step": 4070 + }, + { + "epoch": 0.1, + "grad_norm": 1.7034809228244043, + "learning_rate": 1.977311716116407e-05, + "loss": 0.9221, + "step": 4071 + }, + { + "epoch": 0.1, + "grad_norm": 2.0376071603334207, + "learning_rate": 1.9772955515988045e-05, + "loss": 0.8171, + "step": 4072 + }, + { + "epoch": 0.1, + "grad_norm": 0.7819535869125762, + "learning_rate": 1.9772793813910783e-05, + "loss": 0.7495, + "step": 4073 + }, + { + "epoch": 0.1, + "grad_norm": 1.7152641701298639, + "learning_rate": 1.9772632054933216e-05, + "loss": 0.9803, + "step": 4074 + }, + { + "epoch": 0.1, + "grad_norm": 1.5356984408950012, + "learning_rate": 1.9772470239056295e-05, + "loss": 0.9362, + "step": 4075 + }, + { + "epoch": 0.1, + "grad_norm": 0.7921243298219882, + "learning_rate": 1.9772308366280955e-05, + "loss": 0.7286, + "step": 4076 + }, + { + "epoch": 0.1, + "grad_norm": 1.7701622290310732, + "learning_rate": 1.9772146436608143e-05, + "loss": 0.9069, + "step": 4077 + }, + { + "epoch": 0.1, + "grad_norm": 2.6457739951465267, + "learning_rate": 1.9771984450038802e-05, + "loss": 0.8948, + "step": 4078 + }, + { + "epoch": 0.1, + "grad_norm": 2.857132364485072, + "learning_rate": 1.9771822406573876e-05, + "loss": 0.844, + "step": 4079 + }, + { + "epoch": 0.1, + "grad_norm": 1.4781436045450043, + "learning_rate": 1.97716603062143e-05, + "loss": 0.7875, + "step": 4080 + }, + { + "epoch": 0.1, + "grad_norm": 1.671480194781321, + "learning_rate": 1.9771498148961027e-05, + "loss": 0.9972, + "step": 4081 + }, + { + "epoch": 0.1, + "grad_norm": 1.6701060726821753, + "learning_rate": 1.9771335934815e-05, + "loss": 1.0177, + "step": 4082 + }, + { + "epoch": 0.1, + "grad_norm": 1.8405203289470449, + "learning_rate": 1.977117366377716e-05, + "loss": 0.9135, + "step": 4083 + }, + { + "epoch": 0.1, + "grad_norm": 2.5057721660800154, + "learning_rate": 1.9771011335848453e-05, + "loss": 0.9701, + "step": 4084 + }, + { + "epoch": 0.1, + "grad_norm": 1.5700304963353071, + "learning_rate": 1.9770848951029825e-05, + "loss": 0.9421, + "step": 4085 + }, + { + "epoch": 0.1, + "grad_norm": 2.7915888778575586, + "learning_rate": 1.977068650932222e-05, + "loss": 0.9256, + "step": 4086 + }, + { + "epoch": 0.1, + "grad_norm": 1.6756151629789005, + "learning_rate": 1.9770524010726587e-05, + "loss": 0.9051, + "step": 4087 + }, + { + "epoch": 0.1, + "grad_norm": 2.352207503416674, + "learning_rate": 1.977036145524387e-05, + "loss": 0.8812, + "step": 4088 + }, + { + "epoch": 0.1, + "grad_norm": 0.7284671522670585, + "learning_rate": 1.9770198842875015e-05, + "loss": 0.7309, + "step": 4089 + }, + { + "epoch": 0.1, + "grad_norm": 1.3765536425242426, + "learning_rate": 1.9770036173620965e-05, + "loss": 0.9139, + "step": 4090 + }, + { + "epoch": 0.1, + "grad_norm": 1.6588766044218366, + "learning_rate": 1.9769873447482676e-05, + "loss": 0.9271, + "step": 4091 + }, + { + "epoch": 0.1, + "grad_norm": 0.7851774325303844, + "learning_rate": 1.976971066446109e-05, + "loss": 0.7106, + "step": 4092 + }, + { + "epoch": 0.1, + "grad_norm": 2.2148674042056093, + "learning_rate": 1.9769547824557155e-05, + "loss": 1.0168, + "step": 4093 + }, + { + "epoch": 0.1, + "grad_norm": 1.9635024425879386, + "learning_rate": 1.976938492777182e-05, + "loss": 0.9581, + "step": 4094 + }, + { + "epoch": 0.1, + "grad_norm": 2.4399751021201905, + "learning_rate": 1.976922197410603e-05, + "loss": 0.9857, + "step": 4095 + }, + { + "epoch": 0.1, + "grad_norm": 1.7994728573867886, + "learning_rate": 1.976905896356074e-05, + "loss": 0.9654, + "step": 4096 + }, + { + "epoch": 0.1, + "grad_norm": 1.568616040213193, + "learning_rate": 1.9768895896136893e-05, + "loss": 1.0221, + "step": 4097 + }, + { + "epoch": 0.1, + "grad_norm": 1.9084334994110328, + "learning_rate": 1.9768732771835446e-05, + "loss": 0.8808, + "step": 4098 + }, + { + "epoch": 0.1, + "grad_norm": 1.9543478333290638, + "learning_rate": 1.976856959065734e-05, + "loss": 0.9195, + "step": 4099 + }, + { + "epoch": 0.1, + "grad_norm": 1.761976693196312, + "learning_rate": 1.976840635260353e-05, + "loss": 0.9322, + "step": 4100 + }, + { + "epoch": 0.1, + "grad_norm": 1.6499091290695391, + "learning_rate": 1.9768243057674967e-05, + "loss": 0.8525, + "step": 4101 + }, + { + "epoch": 0.1, + "grad_norm": 1.7489817983842786, + "learning_rate": 1.97680797058726e-05, + "loss": 0.8358, + "step": 4102 + }, + { + "epoch": 0.1, + "grad_norm": 0.7723219709747361, + "learning_rate": 1.9767916297197378e-05, + "loss": 0.7307, + "step": 4103 + }, + { + "epoch": 0.1, + "grad_norm": 1.9298980581786778, + "learning_rate": 1.976775283165026e-05, + "loss": 0.8657, + "step": 4104 + }, + { + "epoch": 0.1, + "grad_norm": 2.2557465744406104, + "learning_rate": 1.976758930923219e-05, + "loss": 0.9024, + "step": 4105 + }, + { + "epoch": 0.1, + "grad_norm": 1.7095779556696595, + "learning_rate": 1.976742572994412e-05, + "loss": 0.9463, + "step": 4106 + }, + { + "epoch": 0.1, + "grad_norm": 1.766330609714557, + "learning_rate": 1.9767262093787007e-05, + "loss": 0.9625, + "step": 4107 + }, + { + "epoch": 0.1, + "grad_norm": 1.6994921161896246, + "learning_rate": 1.97670984007618e-05, + "loss": 0.9547, + "step": 4108 + }, + { + "epoch": 0.1, + "grad_norm": 2.2383940279755743, + "learning_rate": 1.976693465086946e-05, + "loss": 0.9167, + "step": 4109 + }, + { + "epoch": 0.1, + "grad_norm": 1.7165896327716623, + "learning_rate": 1.976677084411093e-05, + "loss": 0.9306, + "step": 4110 + }, + { + "epoch": 0.1, + "grad_norm": 2.0563179013920925, + "learning_rate": 1.9766606980487167e-05, + "loss": 0.9427, + "step": 4111 + }, + { + "epoch": 0.1, + "grad_norm": 1.7077379439817526, + "learning_rate": 1.9766443059999127e-05, + "loss": 0.9341, + "step": 4112 + }, + { + "epoch": 0.1, + "grad_norm": 1.6534145784486929, + "learning_rate": 1.9766279082647763e-05, + "loss": 0.9277, + "step": 4113 + }, + { + "epoch": 0.1, + "grad_norm": 2.336599555847774, + "learning_rate": 1.976611504843403e-05, + "loss": 1.0054, + "step": 4114 + }, + { + "epoch": 0.1, + "grad_norm": 1.569357325147629, + "learning_rate": 1.9765950957358887e-05, + "loss": 0.8647, + "step": 4115 + }, + { + "epoch": 0.1, + "grad_norm": 1.8411369540886435, + "learning_rate": 1.9765786809423283e-05, + "loss": 0.9974, + "step": 4116 + }, + { + "epoch": 0.1, + "grad_norm": 2.0055039222275948, + "learning_rate": 1.9765622604628177e-05, + "loss": 0.8949, + "step": 4117 + }, + { + "epoch": 0.1, + "grad_norm": 1.74671702950343, + "learning_rate": 1.976545834297452e-05, + "loss": 0.933, + "step": 4118 + }, + { + "epoch": 0.1, + "grad_norm": 1.8062975013795477, + "learning_rate": 1.9765294024463276e-05, + "loss": 0.9848, + "step": 4119 + }, + { + "epoch": 0.1, + "grad_norm": 1.4955244137524266, + "learning_rate": 1.97651296490954e-05, + "loss": 0.8937, + "step": 4120 + }, + { + "epoch": 0.1, + "grad_norm": 1.7301042389442471, + "learning_rate": 1.9764965216871848e-05, + "loss": 1.0551, + "step": 4121 + }, + { + "epoch": 0.1, + "grad_norm": 1.7472415174372875, + "learning_rate": 1.9764800727793576e-05, + "loss": 0.9106, + "step": 4122 + }, + { + "epoch": 0.1, + "grad_norm": 2.105311185791734, + "learning_rate": 1.9764636181861544e-05, + "loss": 0.9448, + "step": 4123 + }, + { + "epoch": 0.1, + "grad_norm": 1.6192201343677253, + "learning_rate": 1.9764471579076705e-05, + "loss": 0.8449, + "step": 4124 + }, + { + "epoch": 0.1, + "grad_norm": 1.9304199314334531, + "learning_rate": 1.9764306919440023e-05, + "loss": 0.9747, + "step": 4125 + }, + { + "epoch": 0.1, + "grad_norm": 0.7477219370524654, + "learning_rate": 1.9764142202952456e-05, + "loss": 0.7313, + "step": 4126 + }, + { + "epoch": 0.1, + "grad_norm": 1.7101297603266574, + "learning_rate": 1.976397742961496e-05, + "loss": 1.0141, + "step": 4127 + }, + { + "epoch": 0.1, + "grad_norm": 2.047220400234825, + "learning_rate": 1.9763812599428498e-05, + "loss": 0.9534, + "step": 4128 + }, + { + "epoch": 0.1, + "grad_norm": 1.5952807869262657, + "learning_rate": 1.9763647712394028e-05, + "loss": 0.783, + "step": 4129 + }, + { + "epoch": 0.1, + "grad_norm": 1.5407470147503806, + "learning_rate": 1.9763482768512507e-05, + "loss": 0.9811, + "step": 4130 + }, + { + "epoch": 0.1, + "grad_norm": 1.782960797047389, + "learning_rate": 1.97633177677849e-05, + "loss": 0.7678, + "step": 4131 + }, + { + "epoch": 0.1, + "grad_norm": 1.5997611800264442, + "learning_rate": 1.976315271021217e-05, + "loss": 0.9091, + "step": 4132 + }, + { + "epoch": 0.1, + "grad_norm": 1.7168294691413688, + "learning_rate": 1.976298759579527e-05, + "loss": 0.8506, + "step": 4133 + }, + { + "epoch": 0.1, + "grad_norm": 1.850879006169308, + "learning_rate": 1.9762822424535163e-05, + "loss": 0.8627, + "step": 4134 + }, + { + "epoch": 0.1, + "grad_norm": 1.9021655629475565, + "learning_rate": 1.9762657196432814e-05, + "loss": 0.8312, + "step": 4135 + }, + { + "epoch": 0.1, + "grad_norm": 2.0261025383635642, + "learning_rate": 1.9762491911489184e-05, + "loss": 0.8476, + "step": 4136 + }, + { + "epoch": 0.1, + "grad_norm": 0.8113492025959269, + "learning_rate": 1.976232656970524e-05, + "loss": 0.7784, + "step": 4137 + }, + { + "epoch": 0.1, + "grad_norm": 2.192405268361903, + "learning_rate": 1.9762161171081934e-05, + "loss": 0.8308, + "step": 4138 + }, + { + "epoch": 0.1, + "grad_norm": 1.9846630588709238, + "learning_rate": 1.976199571562024e-05, + "loss": 0.8147, + "step": 4139 + }, + { + "epoch": 0.1, + "grad_norm": 0.7566646320338045, + "learning_rate": 1.9761830203321114e-05, + "loss": 0.7112, + "step": 4140 + }, + { + "epoch": 0.1, + "grad_norm": 1.8085032194627155, + "learning_rate": 1.9761664634185523e-05, + "loss": 1.0063, + "step": 4141 + }, + { + "epoch": 0.1, + "grad_norm": 2.1300933522085552, + "learning_rate": 1.976149900821443e-05, + "loss": 1.1067, + "step": 4142 + }, + { + "epoch": 0.1, + "grad_norm": 1.9366099352835182, + "learning_rate": 1.9761333325408795e-05, + "loss": 0.935, + "step": 4143 + }, + { + "epoch": 0.1, + "grad_norm": 1.857645226875001, + "learning_rate": 1.9761167585769588e-05, + "loss": 0.8735, + "step": 4144 + }, + { + "epoch": 0.1, + "grad_norm": 1.7154588361658625, + "learning_rate": 1.9761001789297778e-05, + "loss": 1.0275, + "step": 4145 + }, + { + "epoch": 0.1, + "grad_norm": 1.8349326403335722, + "learning_rate": 1.9760835935994322e-05, + "loss": 0.8884, + "step": 4146 + }, + { + "epoch": 0.1, + "grad_norm": 1.8823676107250245, + "learning_rate": 1.976067002586019e-05, + "loss": 0.8445, + "step": 4147 + }, + { + "epoch": 0.1, + "grad_norm": 1.5310353206285745, + "learning_rate": 1.9760504058896348e-05, + "loss": 0.9608, + "step": 4148 + }, + { + "epoch": 0.1, + "grad_norm": 1.7012037766328052, + "learning_rate": 1.9760338035103758e-05, + "loss": 0.8526, + "step": 4149 + }, + { + "epoch": 0.1, + "grad_norm": 1.9501953201408557, + "learning_rate": 1.976017195448339e-05, + "loss": 0.8977, + "step": 4150 + }, + { + "epoch": 0.1, + "grad_norm": 3.230909000340651, + "learning_rate": 1.9760005817036215e-05, + "loss": 0.9477, + "step": 4151 + }, + { + "epoch": 0.1, + "grad_norm": 1.8216374340709958, + "learning_rate": 1.9759839622763194e-05, + "loss": 0.9195, + "step": 4152 + }, + { + "epoch": 0.1, + "grad_norm": 1.5352505568558246, + "learning_rate": 1.9759673371665297e-05, + "loss": 0.9164, + "step": 4153 + }, + { + "epoch": 0.1, + "grad_norm": 1.7739860293991834, + "learning_rate": 1.975950706374349e-05, + "loss": 0.9597, + "step": 4154 + }, + { + "epoch": 0.1, + "grad_norm": 1.931006078223674, + "learning_rate": 1.9759340698998746e-05, + "loss": 1.0064, + "step": 4155 + }, + { + "epoch": 0.1, + "grad_norm": 1.8124783601572507, + "learning_rate": 1.9759174277432026e-05, + "loss": 0.9334, + "step": 4156 + }, + { + "epoch": 0.1, + "grad_norm": 1.730615488294838, + "learning_rate": 1.9759007799044307e-05, + "loss": 0.8528, + "step": 4157 + }, + { + "epoch": 0.1, + "grad_norm": 1.6295021672887993, + "learning_rate": 1.9758841263836553e-05, + "loss": 0.9006, + "step": 4158 + }, + { + "epoch": 0.1, + "grad_norm": 1.7181016517523395, + "learning_rate": 1.9758674671809742e-05, + "loss": 1.0134, + "step": 4159 + }, + { + "epoch": 0.1, + "grad_norm": 1.6966899301461393, + "learning_rate": 1.975850802296483e-05, + "loss": 0.7987, + "step": 4160 + }, + { + "epoch": 0.1, + "grad_norm": 0.835102624680902, + "learning_rate": 1.97583413173028e-05, + "loss": 0.709, + "step": 4161 + }, + { + "epoch": 0.1, + "grad_norm": 1.5743280140936464, + "learning_rate": 1.9758174554824614e-05, + "loss": 0.8503, + "step": 4162 + }, + { + "epoch": 0.1, + "grad_norm": 1.5749424957949436, + "learning_rate": 1.9758007735531247e-05, + "loss": 0.9338, + "step": 4163 + }, + { + "epoch": 0.1, + "grad_norm": 1.914513770603447, + "learning_rate": 1.975784085942367e-05, + "loss": 0.9642, + "step": 4164 + }, + { + "epoch": 0.1, + "grad_norm": 1.4886092233067614, + "learning_rate": 1.9757673926502854e-05, + "loss": 0.8502, + "step": 4165 + }, + { + "epoch": 0.1, + "grad_norm": 1.8872607442175224, + "learning_rate": 1.975750693676977e-05, + "loss": 0.8915, + "step": 4166 + }, + { + "epoch": 0.1, + "grad_norm": 1.7088558093144488, + "learning_rate": 1.9757339890225395e-05, + "loss": 0.9696, + "step": 4167 + }, + { + "epoch": 0.1, + "grad_norm": 1.7526815014593353, + "learning_rate": 1.9757172786870695e-05, + "loss": 0.9421, + "step": 4168 + }, + { + "epoch": 0.1, + "grad_norm": 2.0256834135516137, + "learning_rate": 1.9757005626706648e-05, + "loss": 1.0083, + "step": 4169 + }, + { + "epoch": 0.1, + "grad_norm": 2.0124121056441324, + "learning_rate": 1.9756838409734222e-05, + "loss": 1.0475, + "step": 4170 + }, + { + "epoch": 0.1, + "grad_norm": 1.8779936221258215, + "learning_rate": 1.9756671135954396e-05, + "loss": 0.9205, + "step": 4171 + }, + { + "epoch": 0.1, + "grad_norm": 1.6380836416528382, + "learning_rate": 1.975650380536814e-05, + "loss": 0.9127, + "step": 4172 + }, + { + "epoch": 0.1, + "grad_norm": 1.7031198871851874, + "learning_rate": 1.9756336417976435e-05, + "loss": 0.9243, + "step": 4173 + }, + { + "epoch": 0.1, + "grad_norm": 2.047540464218416, + "learning_rate": 1.9756168973780245e-05, + "loss": 0.9724, + "step": 4174 + }, + { + "epoch": 0.1, + "grad_norm": 2.264851445419456, + "learning_rate": 1.975600147278055e-05, + "loss": 0.8708, + "step": 4175 + }, + { + "epoch": 0.1, + "grad_norm": 0.7608855937193724, + "learning_rate": 1.975583391497833e-05, + "loss": 0.701, + "step": 4176 + }, + { + "epoch": 0.1, + "grad_norm": 3.382999149204823, + "learning_rate": 1.9755666300374554e-05, + "loss": 0.9411, + "step": 4177 + }, + { + "epoch": 0.1, + "grad_norm": 1.7333529954145301, + "learning_rate": 1.9755498628970202e-05, + "loss": 0.8448, + "step": 4178 + }, + { + "epoch": 0.1, + "grad_norm": 1.791722267595404, + "learning_rate": 1.9755330900766247e-05, + "loss": 1.0524, + "step": 4179 + }, + { + "epoch": 0.1, + "grad_norm": 1.8730619287327195, + "learning_rate": 1.975516311576367e-05, + "loss": 0.9793, + "step": 4180 + }, + { + "epoch": 0.1, + "grad_norm": 0.8525289298208623, + "learning_rate": 1.975499527396344e-05, + "loss": 0.7594, + "step": 4181 + }, + { + "epoch": 0.1, + "grad_norm": 1.476821954239126, + "learning_rate": 1.975482737536654e-05, + "loss": 0.9226, + "step": 4182 + }, + { + "epoch": 0.1, + "grad_norm": 0.784415633269061, + "learning_rate": 1.975465941997395e-05, + "loss": 0.708, + "step": 4183 + }, + { + "epoch": 0.1, + "grad_norm": 7.943878566310865, + "learning_rate": 1.9754491407786642e-05, + "loss": 0.9449, + "step": 4184 + }, + { + "epoch": 0.1, + "grad_norm": 1.7616674833288253, + "learning_rate": 1.9754323338805597e-05, + "loss": 0.8747, + "step": 4185 + }, + { + "epoch": 0.1, + "grad_norm": 1.6425078749943052, + "learning_rate": 1.9754155213031793e-05, + "loss": 0.875, + "step": 4186 + }, + { + "epoch": 0.1, + "grad_norm": 1.6863707841487847, + "learning_rate": 1.9753987030466212e-05, + "loss": 0.9598, + "step": 4187 + }, + { + "epoch": 0.1, + "grad_norm": 1.4835496005970201, + "learning_rate": 1.975381879110983e-05, + "loss": 0.8376, + "step": 4188 + }, + { + "epoch": 0.1, + "grad_norm": 1.843694137952165, + "learning_rate": 1.975365049496362e-05, + "loss": 0.8579, + "step": 4189 + }, + { + "epoch": 0.1, + "grad_norm": 2.027974135512824, + "learning_rate": 1.9753482142028578e-05, + "loss": 0.9591, + "step": 4190 + }, + { + "epoch": 0.1, + "grad_norm": 2.065312689850435, + "learning_rate": 1.975331373230567e-05, + "loss": 1.0485, + "step": 4191 + }, + { + "epoch": 0.1, + "grad_norm": 0.8469022821721862, + "learning_rate": 1.9753145265795885e-05, + "loss": 0.7519, + "step": 4192 + }, + { + "epoch": 0.1, + "grad_norm": 1.771226132722556, + "learning_rate": 1.9752976742500198e-05, + "loss": 0.8349, + "step": 4193 + }, + { + "epoch": 0.1, + "grad_norm": 0.7919626315701491, + "learning_rate": 1.975280816241959e-05, + "loss": 0.7405, + "step": 4194 + }, + { + "epoch": 0.1, + "grad_norm": 1.790236935846118, + "learning_rate": 1.9752639525555048e-05, + "loss": 0.8741, + "step": 4195 + }, + { + "epoch": 0.1, + "grad_norm": 2.2933774311585826, + "learning_rate": 1.9752470831907553e-05, + "loss": 0.9453, + "step": 4196 + }, + { + "epoch": 0.1, + "grad_norm": 0.8121456097789432, + "learning_rate": 1.9752302081478084e-05, + "loss": 0.7228, + "step": 4197 + }, + { + "epoch": 0.1, + "grad_norm": 2.192023361436427, + "learning_rate": 1.9752133274267626e-05, + "loss": 0.9526, + "step": 4198 + }, + { + "epoch": 0.1, + "grad_norm": 1.8890406475758479, + "learning_rate": 1.9751964410277157e-05, + "loss": 0.9991, + "step": 4199 + }, + { + "epoch": 0.1, + "grad_norm": 0.7457483357687575, + "learning_rate": 1.9751795489507665e-05, + "loss": 0.767, + "step": 4200 + }, + { + "epoch": 0.1, + "grad_norm": 2.940999659269498, + "learning_rate": 1.9751626511960134e-05, + "loss": 0.8961, + "step": 4201 + }, + { + "epoch": 0.1, + "grad_norm": 1.7836823342466184, + "learning_rate": 1.9751457477635544e-05, + "loss": 0.9174, + "step": 4202 + }, + { + "epoch": 0.1, + "grad_norm": 2.403667541751709, + "learning_rate": 1.9751288386534885e-05, + "loss": 0.9703, + "step": 4203 + }, + { + "epoch": 0.1, + "grad_norm": 2.8424712697506487, + "learning_rate": 1.9751119238659132e-05, + "loss": 0.959, + "step": 4204 + }, + { + "epoch": 0.1, + "grad_norm": 1.7937651736766362, + "learning_rate": 1.9750950034009282e-05, + "loss": 0.9034, + "step": 4205 + }, + { + "epoch": 0.1, + "grad_norm": 0.7890701388736435, + "learning_rate": 1.975078077258631e-05, + "loss": 0.723, + "step": 4206 + }, + { + "epoch": 0.1, + "grad_norm": 1.8458107218557442, + "learning_rate": 1.9750611454391208e-05, + "loss": 1.0935, + "step": 4207 + }, + { + "epoch": 0.1, + "grad_norm": 1.8112517298664927, + "learning_rate": 1.9750442079424953e-05, + "loss": 0.7677, + "step": 4208 + }, + { + "epoch": 0.1, + "grad_norm": 1.5685189356803748, + "learning_rate": 1.9750272647688544e-05, + "loss": 0.9955, + "step": 4209 + }, + { + "epoch": 0.1, + "grad_norm": 1.7075835595849675, + "learning_rate": 1.9750103159182957e-05, + "loss": 1.016, + "step": 4210 + }, + { + "epoch": 0.1, + "grad_norm": 2.1391413742147325, + "learning_rate": 1.974993361390918e-05, + "loss": 0.8825, + "step": 4211 + }, + { + "epoch": 0.1, + "grad_norm": 1.6077669663584784, + "learning_rate": 1.9749764011868212e-05, + "loss": 0.9876, + "step": 4212 + }, + { + "epoch": 0.1, + "grad_norm": 1.802655077638821, + "learning_rate": 1.9749594353061024e-05, + "loss": 0.8658, + "step": 4213 + }, + { + "epoch": 0.1, + "grad_norm": 1.7713418476605134, + "learning_rate": 1.974942463748861e-05, + "loss": 0.8336, + "step": 4214 + }, + { + "epoch": 0.1, + "grad_norm": 1.649618857821199, + "learning_rate": 1.9749254865151966e-05, + "loss": 0.9109, + "step": 4215 + }, + { + "epoch": 0.1, + "grad_norm": 1.630633810642605, + "learning_rate": 1.9749085036052066e-05, + "loss": 0.8789, + "step": 4216 + }, + { + "epoch": 0.1, + "grad_norm": 2.0723242528947097, + "learning_rate": 1.974891515018991e-05, + "loss": 0.9082, + "step": 4217 + }, + { + "epoch": 0.1, + "grad_norm": 0.8759251902952824, + "learning_rate": 1.9748745207566483e-05, + "loss": 0.8401, + "step": 4218 + }, + { + "epoch": 0.1, + "grad_norm": 1.8215667121949688, + "learning_rate": 1.9748575208182776e-05, + "loss": 1.0212, + "step": 4219 + }, + { + "epoch": 0.1, + "grad_norm": 2.028055182909521, + "learning_rate": 1.9748405152039777e-05, + "loss": 0.8547, + "step": 4220 + }, + { + "epoch": 0.1, + "grad_norm": 1.6809739155761583, + "learning_rate": 1.974823503913848e-05, + "loss": 1.0747, + "step": 4221 + }, + { + "epoch": 0.1, + "grad_norm": 0.8042223685423637, + "learning_rate": 1.9748064869479866e-05, + "loss": 0.7927, + "step": 4222 + }, + { + "epoch": 0.1, + "grad_norm": 2.1423432231497372, + "learning_rate": 1.9747894643064938e-05, + "loss": 0.9185, + "step": 4223 + }, + { + "epoch": 0.1, + "grad_norm": 3.8974775017762946, + "learning_rate": 1.9747724359894677e-05, + "loss": 0.9662, + "step": 4224 + }, + { + "epoch": 0.1, + "grad_norm": 1.7260707199285137, + "learning_rate": 1.974755401997008e-05, + "loss": 0.9266, + "step": 4225 + }, + { + "epoch": 0.1, + "grad_norm": 1.7299104807144603, + "learning_rate": 1.974738362329214e-05, + "loss": 0.8295, + "step": 4226 + }, + { + "epoch": 0.1, + "grad_norm": 1.5800967560201369, + "learning_rate": 1.9747213169861844e-05, + "loss": 0.8774, + "step": 4227 + }, + { + "epoch": 0.1, + "grad_norm": 2.1758479035852387, + "learning_rate": 1.974704265968019e-05, + "loss": 1.0347, + "step": 4228 + }, + { + "epoch": 0.1, + "grad_norm": 0.7586720321246957, + "learning_rate": 1.9746872092748162e-05, + "loss": 0.7824, + "step": 4229 + }, + { + "epoch": 0.1, + "grad_norm": 1.500822079127389, + "learning_rate": 1.9746701469066766e-05, + "loss": 0.9028, + "step": 4230 + }, + { + "epoch": 0.1, + "grad_norm": 1.7902505796848738, + "learning_rate": 1.974653078863698e-05, + "loss": 0.9972, + "step": 4231 + }, + { + "epoch": 0.1, + "grad_norm": 1.6733163690604036, + "learning_rate": 1.974636005145981e-05, + "loss": 0.9164, + "step": 4232 + }, + { + "epoch": 0.1, + "grad_norm": 1.7418500748813583, + "learning_rate": 1.9746189257536252e-05, + "loss": 0.9838, + "step": 4233 + }, + { + "epoch": 0.1, + "grad_norm": 2.0215173111354017, + "learning_rate": 1.9746018406867285e-05, + "loss": 0.8718, + "step": 4234 + }, + { + "epoch": 0.1, + "grad_norm": 1.8571969664149433, + "learning_rate": 1.9745847499453918e-05, + "loss": 0.9316, + "step": 4235 + }, + { + "epoch": 0.1, + "grad_norm": 2.4407208917897067, + "learning_rate": 1.974567653529714e-05, + "loss": 0.8192, + "step": 4236 + }, + { + "epoch": 0.1, + "grad_norm": 1.639466284462648, + "learning_rate": 1.9745505514397952e-05, + "loss": 0.9254, + "step": 4237 + }, + { + "epoch": 0.1, + "grad_norm": 2.2664583432167293, + "learning_rate": 1.9745334436757342e-05, + "loss": 1.0357, + "step": 4238 + }, + { + "epoch": 0.1, + "grad_norm": 1.761322664956236, + "learning_rate": 1.9745163302376306e-05, + "loss": 0.8898, + "step": 4239 + }, + { + "epoch": 0.1, + "grad_norm": 0.7943825692899068, + "learning_rate": 1.974499211125585e-05, + "loss": 0.6786, + "step": 4240 + }, + { + "epoch": 0.1, + "grad_norm": 1.7800127412420879, + "learning_rate": 1.9744820863396962e-05, + "loss": 0.8758, + "step": 4241 + }, + { + "epoch": 0.1, + "grad_norm": 1.9154128943990578, + "learning_rate": 1.9744649558800644e-05, + "loss": 0.9884, + "step": 4242 + }, + { + "epoch": 0.1, + "grad_norm": 1.7455029901854555, + "learning_rate": 1.974447819746789e-05, + "loss": 0.9384, + "step": 4243 + }, + { + "epoch": 0.1, + "grad_norm": 1.7015000486408718, + "learning_rate": 1.9744306779399697e-05, + "loss": 0.8376, + "step": 4244 + }, + { + "epoch": 0.1, + "grad_norm": 2.257237294757785, + "learning_rate": 1.9744135304597068e-05, + "loss": 0.8464, + "step": 4245 + }, + { + "epoch": 0.1, + "grad_norm": 1.7763126771674198, + "learning_rate": 1.9743963773060996e-05, + "loss": 0.9568, + "step": 4246 + }, + { + "epoch": 0.1, + "grad_norm": 2.114415189444847, + "learning_rate": 1.974379218479248e-05, + "loss": 0.9683, + "step": 4247 + }, + { + "epoch": 0.1, + "grad_norm": 2.0051949621268617, + "learning_rate": 1.9743620539792525e-05, + "loss": 0.8998, + "step": 4248 + }, + { + "epoch": 0.1, + "grad_norm": 1.6129071586172128, + "learning_rate": 1.9743448838062126e-05, + "loss": 0.8861, + "step": 4249 + }, + { + "epoch": 0.1, + "grad_norm": 1.8011019019075674, + "learning_rate": 1.974327707960228e-05, + "loss": 0.8649, + "step": 4250 + }, + { + "epoch": 0.1, + "grad_norm": 2.5090844305351987, + "learning_rate": 1.9743105264413994e-05, + "loss": 0.8137, + "step": 4251 + }, + { + "epoch": 0.1, + "grad_norm": 1.5643570949516938, + "learning_rate": 1.9742933392498263e-05, + "loss": 0.8764, + "step": 4252 + }, + { + "epoch": 0.1, + "grad_norm": 1.8256746870025387, + "learning_rate": 1.974276146385609e-05, + "loss": 0.8653, + "step": 4253 + }, + { + "epoch": 0.1, + "grad_norm": 1.8637087431714319, + "learning_rate": 1.9742589478488474e-05, + "loss": 0.9141, + "step": 4254 + }, + { + "epoch": 0.1, + "grad_norm": 1.6966168900136016, + "learning_rate": 1.974241743639642e-05, + "loss": 0.9719, + "step": 4255 + }, + { + "epoch": 0.1, + "grad_norm": 2.1539574529290433, + "learning_rate": 1.9742245337580924e-05, + "loss": 0.902, + "step": 4256 + }, + { + "epoch": 0.1, + "grad_norm": 2.15139211883127, + "learning_rate": 1.974207318204299e-05, + "loss": 0.8954, + "step": 4257 + }, + { + "epoch": 0.1, + "grad_norm": 1.6891118970330004, + "learning_rate": 1.9741900969783625e-05, + "loss": 0.8183, + "step": 4258 + }, + { + "epoch": 0.1, + "grad_norm": 0.7592667759837595, + "learning_rate": 1.974172870080383e-05, + "loss": 0.7301, + "step": 4259 + }, + { + "epoch": 0.1, + "grad_norm": 1.8452159686197434, + "learning_rate": 1.97415563751046e-05, + "loss": 0.9407, + "step": 4260 + }, + { + "epoch": 0.1, + "grad_norm": 2.2827178547834235, + "learning_rate": 1.974138399268695e-05, + "loss": 0.9214, + "step": 4261 + }, + { + "epoch": 0.1, + "grad_norm": 0.7595711215433453, + "learning_rate": 1.9741211553551877e-05, + "loss": 0.7318, + "step": 4262 + }, + { + "epoch": 0.1, + "grad_norm": 2.3635976355959776, + "learning_rate": 1.9741039057700385e-05, + "loss": 0.9188, + "step": 4263 + }, + { + "epoch": 0.1, + "grad_norm": 1.620892191670292, + "learning_rate": 1.974086650513348e-05, + "loss": 0.9188, + "step": 4264 + }, + { + "epoch": 0.1, + "grad_norm": 1.630146622199892, + "learning_rate": 1.974069389585217e-05, + "loss": 0.9514, + "step": 4265 + }, + { + "epoch": 0.1, + "grad_norm": 1.9033032694862624, + "learning_rate": 1.9740521229857453e-05, + "loss": 0.9473, + "step": 4266 + }, + { + "epoch": 0.1, + "grad_norm": 1.6602549152997785, + "learning_rate": 1.9740348507150338e-05, + "loss": 0.8657, + "step": 4267 + }, + { + "epoch": 0.1, + "grad_norm": 0.7809781272207672, + "learning_rate": 1.9740175727731832e-05, + "loss": 0.7255, + "step": 4268 + }, + { + "epoch": 0.1, + "grad_norm": 1.747170001172922, + "learning_rate": 1.9740002891602936e-05, + "loss": 0.9603, + "step": 4269 + }, + { + "epoch": 0.1, + "grad_norm": 1.6280698471697572, + "learning_rate": 1.9739829998764662e-05, + "loss": 1.0286, + "step": 4270 + }, + { + "epoch": 0.1, + "grad_norm": 0.7906331558059254, + "learning_rate": 1.9739657049218014e-05, + "loss": 0.7279, + "step": 4271 + }, + { + "epoch": 0.1, + "grad_norm": 1.888030846746654, + "learning_rate": 1.9739484042963997e-05, + "loss": 1.0803, + "step": 4272 + }, + { + "epoch": 0.1, + "grad_norm": 1.7441734859559004, + "learning_rate": 1.973931098000362e-05, + "loss": 0.9272, + "step": 4273 + }, + { + "epoch": 0.1, + "grad_norm": 3.092773892439429, + "learning_rate": 1.9739137860337893e-05, + "loss": 0.847, + "step": 4274 + }, + { + "epoch": 0.1, + "grad_norm": 1.7435441904968807, + "learning_rate": 1.9738964683967823e-05, + "loss": 0.8517, + "step": 4275 + }, + { + "epoch": 0.1, + "grad_norm": 1.6959443926550064, + "learning_rate": 1.9738791450894415e-05, + "loss": 1.0051, + "step": 4276 + }, + { + "epoch": 0.1, + "grad_norm": 0.7371429476942709, + "learning_rate": 1.9738618161118684e-05, + "loss": 0.8035, + "step": 4277 + }, + { + "epoch": 0.1, + "grad_norm": 2.11079617264472, + "learning_rate": 1.973844481464163e-05, + "loss": 0.8531, + "step": 4278 + }, + { + "epoch": 0.1, + "grad_norm": 1.7776482859598082, + "learning_rate": 1.973827141146427e-05, + "loss": 0.883, + "step": 4279 + }, + { + "epoch": 0.1, + "grad_norm": 1.524198101903834, + "learning_rate": 1.973809795158761e-05, + "loss": 0.8522, + "step": 4280 + }, + { + "epoch": 0.1, + "grad_norm": 2.103293349057757, + "learning_rate": 1.973792443501266e-05, + "loss": 0.8857, + "step": 4281 + }, + { + "epoch": 0.1, + "grad_norm": 1.7385250737937656, + "learning_rate": 1.9737750861740434e-05, + "loss": 0.8339, + "step": 4282 + }, + { + "epoch": 0.1, + "grad_norm": 0.8603227534894035, + "learning_rate": 1.9737577231771934e-05, + "loss": 0.7644, + "step": 4283 + }, + { + "epoch": 0.1, + "grad_norm": 0.7927638426521607, + "learning_rate": 1.973740354510818e-05, + "loss": 0.7194, + "step": 4284 + }, + { + "epoch": 0.1, + "grad_norm": 1.7021822507970576, + "learning_rate": 1.973722980175018e-05, + "loss": 1.0224, + "step": 4285 + }, + { + "epoch": 0.1, + "grad_norm": 2.2112556267505727, + "learning_rate": 1.9737056001698946e-05, + "loss": 1.0587, + "step": 4286 + }, + { + "epoch": 0.1, + "grad_norm": 1.8505517586229117, + "learning_rate": 1.9736882144955487e-05, + "loss": 0.8455, + "step": 4287 + }, + { + "epoch": 0.1, + "grad_norm": 2.4547586395214416, + "learning_rate": 1.973670823152082e-05, + "loss": 0.8469, + "step": 4288 + }, + { + "epoch": 0.1, + "grad_norm": 0.7964305433849981, + "learning_rate": 1.9736534261395953e-05, + "loss": 0.8085, + "step": 4289 + }, + { + "epoch": 0.1, + "grad_norm": 1.6659923075591843, + "learning_rate": 1.9736360234581902e-05, + "loss": 0.8004, + "step": 4290 + }, + { + "epoch": 0.1, + "grad_norm": 1.6274123731640688, + "learning_rate": 1.9736186151079677e-05, + "loss": 0.8977, + "step": 4291 + }, + { + "epoch": 0.1, + "grad_norm": 1.8844639499338351, + "learning_rate": 1.9736012010890294e-05, + "loss": 1.0409, + "step": 4292 + }, + { + "epoch": 0.1, + "grad_norm": 1.5713525204020284, + "learning_rate": 1.9735837814014772e-05, + "loss": 0.8958, + "step": 4293 + }, + { + "epoch": 0.1, + "grad_norm": 1.7318556268679381, + "learning_rate": 1.9735663560454115e-05, + "loss": 0.9138, + "step": 4294 + }, + { + "epoch": 0.1, + "grad_norm": 2.1827763146732835, + "learning_rate": 1.9735489250209342e-05, + "loss": 0.9526, + "step": 4295 + }, + { + "epoch": 0.1, + "grad_norm": 1.4668086411160413, + "learning_rate": 1.973531488328147e-05, + "loss": 0.8739, + "step": 4296 + }, + { + "epoch": 0.1, + "grad_norm": 1.9301503018377344, + "learning_rate": 1.9735140459671512e-05, + "loss": 0.967, + "step": 4297 + }, + { + "epoch": 0.1, + "grad_norm": 1.682587373411129, + "learning_rate": 1.9734965979380487e-05, + "loss": 0.8903, + "step": 4298 + }, + { + "epoch": 0.1, + "grad_norm": 1.6443097084336034, + "learning_rate": 1.9734791442409403e-05, + "loss": 0.9573, + "step": 4299 + }, + { + "epoch": 0.1, + "grad_norm": 1.9286888917133822, + "learning_rate": 1.9734616848759288e-05, + "loss": 0.8114, + "step": 4300 + }, + { + "epoch": 0.1, + "grad_norm": 1.5584772968654137, + "learning_rate": 1.9734442198431146e-05, + "loss": 0.9172, + "step": 4301 + }, + { + "epoch": 0.1, + "grad_norm": 1.7261483983485302, + "learning_rate": 1.9734267491426003e-05, + "loss": 0.9422, + "step": 4302 + }, + { + "epoch": 0.1, + "grad_norm": 1.634793641328585, + "learning_rate": 1.973409272774487e-05, + "loss": 1.1932, + "step": 4303 + }, + { + "epoch": 0.1, + "grad_norm": 1.7755206627534224, + "learning_rate": 1.9733917907388772e-05, + "loss": 1.0706, + "step": 4304 + }, + { + "epoch": 0.1, + "grad_norm": 0.7849272678670546, + "learning_rate": 1.9733743030358716e-05, + "loss": 0.7492, + "step": 4305 + }, + { + "epoch": 0.1, + "grad_norm": 1.892053429437752, + "learning_rate": 1.973356809665573e-05, + "loss": 0.7887, + "step": 4306 + }, + { + "epoch": 0.1, + "grad_norm": 2.3367228500382016, + "learning_rate": 1.9733393106280826e-05, + "loss": 0.7571, + "step": 4307 + }, + { + "epoch": 0.1, + "grad_norm": 1.5626619217277895, + "learning_rate": 1.9733218059235032e-05, + "loss": 0.8507, + "step": 4308 + }, + { + "epoch": 0.1, + "grad_norm": 1.6177547456539012, + "learning_rate": 1.9733042955519356e-05, + "loss": 0.8908, + "step": 4309 + }, + { + "epoch": 0.1, + "grad_norm": 2.450934240315167, + "learning_rate": 1.9732867795134824e-05, + "loss": 0.8928, + "step": 4310 + }, + { + "epoch": 0.1, + "grad_norm": 1.5904209718863023, + "learning_rate": 1.9732692578082453e-05, + "loss": 0.9081, + "step": 4311 + }, + { + "epoch": 0.1, + "grad_norm": 2.273623048549037, + "learning_rate": 1.9732517304363266e-05, + "loss": 1.0116, + "step": 4312 + }, + { + "epoch": 0.1, + "grad_norm": 1.5720138518886768, + "learning_rate": 1.9732341973978283e-05, + "loss": 0.9516, + "step": 4313 + }, + { + "epoch": 0.1, + "grad_norm": 1.6416355869323196, + "learning_rate": 1.973216658692852e-05, + "loss": 1.002, + "step": 4314 + }, + { + "epoch": 0.1, + "grad_norm": 1.6933288651389937, + "learning_rate": 1.9731991143215005e-05, + "loss": 0.9865, + "step": 4315 + }, + { + "epoch": 0.1, + "grad_norm": 2.136936471079121, + "learning_rate": 1.9731815642838756e-05, + "loss": 0.9231, + "step": 4316 + }, + { + "epoch": 0.1, + "grad_norm": 1.6889610075086823, + "learning_rate": 1.9731640085800794e-05, + "loss": 1.0491, + "step": 4317 + }, + { + "epoch": 0.1, + "grad_norm": 1.721297080468653, + "learning_rate": 1.9731464472102145e-05, + "loss": 0.997, + "step": 4318 + }, + { + "epoch": 0.1, + "grad_norm": 2.066664952273591, + "learning_rate": 1.9731288801743826e-05, + "loss": 0.8768, + "step": 4319 + }, + { + "epoch": 0.1, + "grad_norm": 1.811389416607597, + "learning_rate": 1.9731113074726863e-05, + "loss": 1.0009, + "step": 4320 + }, + { + "epoch": 0.1, + "grad_norm": 2.086309297800912, + "learning_rate": 1.973093729105228e-05, + "loss": 0.8495, + "step": 4321 + }, + { + "epoch": 0.1, + "grad_norm": 0.8337168153200688, + "learning_rate": 1.9730761450721103e-05, + "loss": 0.742, + "step": 4322 + }, + { + "epoch": 0.1, + "grad_norm": 1.6061903448663326, + "learning_rate": 1.9730585553734345e-05, + "loss": 0.8714, + "step": 4323 + }, + { + "epoch": 0.1, + "grad_norm": 1.4950378958807398, + "learning_rate": 1.9730409600093042e-05, + "loss": 0.9435, + "step": 4324 + }, + { + "epoch": 0.1, + "grad_norm": 1.5426544870058003, + "learning_rate": 1.9730233589798213e-05, + "loss": 0.897, + "step": 4325 + }, + { + "epoch": 0.1, + "grad_norm": 1.7200704287457718, + "learning_rate": 1.9730057522850882e-05, + "loss": 0.872, + "step": 4326 + }, + { + "epoch": 0.1, + "grad_norm": 1.8879920782442623, + "learning_rate": 1.9729881399252077e-05, + "loss": 0.8757, + "step": 4327 + }, + { + "epoch": 0.1, + "grad_norm": 1.8386511963716965, + "learning_rate": 1.972970521900282e-05, + "loss": 0.9379, + "step": 4328 + }, + { + "epoch": 0.1, + "grad_norm": 1.6266239212149156, + "learning_rate": 1.972952898210414e-05, + "loss": 0.7839, + "step": 4329 + }, + { + "epoch": 0.1, + "grad_norm": 2.088815354627164, + "learning_rate": 1.9729352688557064e-05, + "loss": 0.8556, + "step": 4330 + }, + { + "epoch": 0.1, + "grad_norm": 2.02333897033219, + "learning_rate": 1.9729176338362613e-05, + "loss": 0.9735, + "step": 4331 + }, + { + "epoch": 0.1, + "grad_norm": 1.6378706336080764, + "learning_rate": 1.9728999931521818e-05, + "loss": 1.0055, + "step": 4332 + }, + { + "epoch": 0.1, + "grad_norm": 1.5515540520660376, + "learning_rate": 1.9728823468035708e-05, + "loss": 0.9857, + "step": 4333 + }, + { + "epoch": 0.1, + "grad_norm": 2.4003735876623304, + "learning_rate": 1.9728646947905307e-05, + "loss": 0.974, + "step": 4334 + }, + { + "epoch": 0.1, + "grad_norm": 2.2374428518477045, + "learning_rate": 1.972847037113164e-05, + "loss": 0.838, + "step": 4335 + }, + { + "epoch": 0.1, + "grad_norm": 1.6124696469196491, + "learning_rate": 1.9728293737715742e-05, + "loss": 0.9091, + "step": 4336 + }, + { + "epoch": 0.1, + "grad_norm": 1.5001012100065632, + "learning_rate": 1.9728117047658636e-05, + "loss": 0.7673, + "step": 4337 + }, + { + "epoch": 0.1, + "grad_norm": 1.8696345094985116, + "learning_rate": 1.9727940300961354e-05, + "loss": 0.874, + "step": 4338 + }, + { + "epoch": 0.1, + "grad_norm": 1.6715073477377305, + "learning_rate": 1.9727763497624924e-05, + "loss": 0.8934, + "step": 4339 + }, + { + "epoch": 0.1, + "grad_norm": 1.7164513185393893, + "learning_rate": 1.9727586637650373e-05, + "loss": 0.9003, + "step": 4340 + }, + { + "epoch": 0.1, + "grad_norm": 0.8332082231250395, + "learning_rate": 1.9727409721038736e-05, + "loss": 0.7793, + "step": 4341 + }, + { + "epoch": 0.1, + "grad_norm": 1.4592213338709028, + "learning_rate": 1.9727232747791037e-05, + "loss": 0.7325, + "step": 4342 + }, + { + "epoch": 0.1, + "grad_norm": 1.5822519696245534, + "learning_rate": 1.972705571790831e-05, + "loss": 0.9249, + "step": 4343 + }, + { + "epoch": 0.1, + "grad_norm": 1.684834726165629, + "learning_rate": 1.9726878631391585e-05, + "loss": 1.0532, + "step": 4344 + }, + { + "epoch": 0.1, + "grad_norm": 1.9012129190330027, + "learning_rate": 1.9726701488241895e-05, + "loss": 0.8856, + "step": 4345 + }, + { + "epoch": 0.1, + "grad_norm": 2.6171254444460614, + "learning_rate": 1.9726524288460266e-05, + "loss": 0.9793, + "step": 4346 + }, + { + "epoch": 0.1, + "grad_norm": 1.8384340370126215, + "learning_rate": 1.9726347032047735e-05, + "loss": 0.9021, + "step": 4347 + }, + { + "epoch": 0.1, + "grad_norm": 1.8578328628791132, + "learning_rate": 1.9726169719005336e-05, + "loss": 1.2462, + "step": 4348 + }, + { + "epoch": 0.1, + "grad_norm": 1.6528481811244373, + "learning_rate": 1.9725992349334092e-05, + "loss": 0.8116, + "step": 4349 + }, + { + "epoch": 0.1, + "grad_norm": 2.9609000879608116, + "learning_rate": 1.9725814923035044e-05, + "loss": 0.8845, + "step": 4350 + }, + { + "epoch": 0.1, + "grad_norm": 2.026942473438204, + "learning_rate": 1.9725637440109223e-05, + "loss": 0.9331, + "step": 4351 + }, + { + "epoch": 0.1, + "grad_norm": 1.9564337091954167, + "learning_rate": 1.972545990055766e-05, + "loss": 0.9664, + "step": 4352 + }, + { + "epoch": 0.1, + "grad_norm": 2.1791573311065178, + "learning_rate": 1.972528230438139e-05, + "loss": 0.9228, + "step": 4353 + }, + { + "epoch": 0.1, + "grad_norm": 2.3627371804349413, + "learning_rate": 1.972510465158145e-05, + "loss": 1.0797, + "step": 4354 + }, + { + "epoch": 0.1, + "grad_norm": 2.4931085400267445, + "learning_rate": 1.972492694215887e-05, + "loss": 0.8501, + "step": 4355 + }, + { + "epoch": 0.1, + "grad_norm": 2.5717106244984187, + "learning_rate": 1.972474917611469e-05, + "loss": 0.8912, + "step": 4356 + }, + { + "epoch": 0.1, + "grad_norm": 2.0850405796214955, + "learning_rate": 1.9724571353449933e-05, + "loss": 0.919, + "step": 4357 + }, + { + "epoch": 0.1, + "grad_norm": 2.1705867865627053, + "learning_rate": 1.972439347416565e-05, + "loss": 0.884, + "step": 4358 + }, + { + "epoch": 0.1, + "grad_norm": 0.8118242819779298, + "learning_rate": 1.972421553826287e-05, + "loss": 0.7182, + "step": 4359 + }, + { + "epoch": 0.1, + "grad_norm": 1.875731451598332, + "learning_rate": 1.9724037545742624e-05, + "loss": 0.8771, + "step": 4360 + }, + { + "epoch": 0.1, + "grad_norm": 1.8061419935244418, + "learning_rate": 1.9723859496605958e-05, + "loss": 1.0405, + "step": 4361 + }, + { + "epoch": 0.1, + "grad_norm": 2.242660522331164, + "learning_rate": 1.97236813908539e-05, + "loss": 0.8348, + "step": 4362 + }, + { + "epoch": 0.1, + "grad_norm": 1.6778157334715404, + "learning_rate": 1.972350322848749e-05, + "loss": 0.9245, + "step": 4363 + }, + { + "epoch": 0.1, + "grad_norm": 1.8107522220604069, + "learning_rate": 1.972332500950777e-05, + "loss": 0.9976, + "step": 4364 + }, + { + "epoch": 0.1, + "grad_norm": 1.6736197429192414, + "learning_rate": 1.9723146733915766e-05, + "loss": 0.9427, + "step": 4365 + }, + { + "epoch": 0.1, + "grad_norm": 1.8029527356287576, + "learning_rate": 1.9722968401712527e-05, + "loss": 1.0966, + "step": 4366 + }, + { + "epoch": 0.1, + "grad_norm": 0.7510063531476734, + "learning_rate": 1.972279001289909e-05, + "loss": 0.715, + "step": 4367 + }, + { + "epoch": 0.1, + "grad_norm": 1.7358583484540542, + "learning_rate": 1.972261156747649e-05, + "loss": 0.8772, + "step": 4368 + }, + { + "epoch": 0.1, + "grad_norm": 1.7752471968086019, + "learning_rate": 1.9722433065445767e-05, + "loss": 0.8704, + "step": 4369 + }, + { + "epoch": 0.1, + "grad_norm": 1.6636978686526238, + "learning_rate": 1.972225450680796e-05, + "loss": 0.8734, + "step": 4370 + }, + { + "epoch": 0.1, + "grad_norm": 0.7709753917106557, + "learning_rate": 1.972207589156411e-05, + "loss": 0.737, + "step": 4371 + }, + { + "epoch": 0.1, + "grad_norm": 1.8048038653024572, + "learning_rate": 1.9721897219715254e-05, + "loss": 1.014, + "step": 4372 + }, + { + "epoch": 0.1, + "grad_norm": 1.786685375657261, + "learning_rate": 1.972171849126244e-05, + "loss": 0.8512, + "step": 4373 + }, + { + "epoch": 0.1, + "grad_norm": 1.754638310382371, + "learning_rate": 1.9721539706206697e-05, + "loss": 1.0308, + "step": 4374 + }, + { + "epoch": 0.1, + "grad_norm": 1.7747806393875971, + "learning_rate": 1.9721360864549078e-05, + "loss": 0.8361, + "step": 4375 + }, + { + "epoch": 0.1, + "grad_norm": 2.1606348783201983, + "learning_rate": 1.9721181966290614e-05, + "loss": 0.9403, + "step": 4376 + }, + { + "epoch": 0.1, + "grad_norm": 3.160204542701167, + "learning_rate": 1.972100301143235e-05, + "loss": 0.9424, + "step": 4377 + }, + { + "epoch": 0.1, + "grad_norm": 1.7142636598937904, + "learning_rate": 1.9720823999975333e-05, + "loss": 0.9152, + "step": 4378 + }, + { + "epoch": 0.1, + "grad_norm": 1.7188449385686377, + "learning_rate": 1.97206449319206e-05, + "loss": 0.857, + "step": 4379 + }, + { + "epoch": 0.1, + "grad_norm": 1.7734759173703798, + "learning_rate": 1.9720465807269192e-05, + "loss": 0.9164, + "step": 4380 + }, + { + "epoch": 0.1, + "grad_norm": 1.9419578798526491, + "learning_rate": 1.972028662602216e-05, + "loss": 0.8977, + "step": 4381 + }, + { + "epoch": 0.1, + "grad_norm": 0.7910047910825534, + "learning_rate": 1.9720107388180536e-05, + "loss": 0.7407, + "step": 4382 + }, + { + "epoch": 0.1, + "grad_norm": 1.531502169111113, + "learning_rate": 1.9719928093745372e-05, + "loss": 0.9042, + "step": 4383 + }, + { + "epoch": 0.1, + "grad_norm": 1.876722348872026, + "learning_rate": 1.971974874271771e-05, + "loss": 0.8959, + "step": 4384 + }, + { + "epoch": 0.1, + "grad_norm": 1.6126065573621078, + "learning_rate": 1.9719569335098592e-05, + "loss": 0.9922, + "step": 4385 + }, + { + "epoch": 0.1, + "grad_norm": 1.59303627649931, + "learning_rate": 1.9719389870889064e-05, + "loss": 0.9152, + "step": 4386 + }, + { + "epoch": 0.1, + "grad_norm": 1.7395531464622853, + "learning_rate": 1.9719210350090172e-05, + "loss": 0.8501, + "step": 4387 + }, + { + "epoch": 0.1, + "grad_norm": 1.8516994882548898, + "learning_rate": 1.971903077270296e-05, + "loss": 0.8468, + "step": 4388 + }, + { + "epoch": 0.1, + "grad_norm": 2.2147570196279025, + "learning_rate": 1.9718851138728474e-05, + "loss": 0.9226, + "step": 4389 + }, + { + "epoch": 0.1, + "grad_norm": 1.7479982158712009, + "learning_rate": 1.971867144816776e-05, + "loss": 0.845, + "step": 4390 + }, + { + "epoch": 0.1, + "grad_norm": 1.8093116624329133, + "learning_rate": 1.9718491701021865e-05, + "loss": 0.9711, + "step": 4391 + }, + { + "epoch": 0.1, + "grad_norm": 1.5938000188522832, + "learning_rate": 1.971831189729183e-05, + "loss": 0.8899, + "step": 4392 + }, + { + "epoch": 0.1, + "grad_norm": 1.5695257991146176, + "learning_rate": 1.9718132036978712e-05, + "loss": 0.9324, + "step": 4393 + }, + { + "epoch": 0.1, + "grad_norm": 0.7777778441382042, + "learning_rate": 1.971795212008355e-05, + "loss": 0.7073, + "step": 4394 + }, + { + "epoch": 0.1, + "grad_norm": 2.0981057787180113, + "learning_rate": 1.9717772146607396e-05, + "loss": 1.0321, + "step": 4395 + }, + { + "epoch": 0.1, + "grad_norm": 2.143431839675845, + "learning_rate": 1.971759211655129e-05, + "loss": 0.9038, + "step": 4396 + }, + { + "epoch": 0.1, + "grad_norm": 1.6810847753424074, + "learning_rate": 1.971741202991629e-05, + "loss": 1.0301, + "step": 4397 + }, + { + "epoch": 0.1, + "grad_norm": 0.810179274537569, + "learning_rate": 1.9717231886703444e-05, + "loss": 0.7529, + "step": 4398 + }, + { + "epoch": 0.1, + "grad_norm": 1.910970652067455, + "learning_rate": 1.9717051686913793e-05, + "loss": 0.9017, + "step": 4399 + }, + { + "epoch": 0.1, + "grad_norm": 1.82088120735044, + "learning_rate": 1.9716871430548394e-05, + "loss": 1.0204, + "step": 4400 + }, + { + "epoch": 0.1, + "grad_norm": 1.5527396185504498, + "learning_rate": 1.971669111760829e-05, + "loss": 0.9059, + "step": 4401 + }, + { + "epoch": 0.1, + "grad_norm": 2.3385429985267097, + "learning_rate": 1.9716510748094536e-05, + "loss": 1.0008, + "step": 4402 + }, + { + "epoch": 0.1, + "grad_norm": 1.6850539002792546, + "learning_rate": 1.971633032200818e-05, + "loss": 0.9754, + "step": 4403 + }, + { + "epoch": 0.1, + "grad_norm": 1.6214890933871342, + "learning_rate": 1.971614983935027e-05, + "loss": 0.9748, + "step": 4404 + }, + { + "epoch": 0.1, + "grad_norm": 2.6336392919358933, + "learning_rate": 1.9715969300121863e-05, + "loss": 0.8623, + "step": 4405 + }, + { + "epoch": 0.1, + "grad_norm": 1.7646987641472431, + "learning_rate": 1.971578870432401e-05, + "loss": 0.9301, + "step": 4406 + }, + { + "epoch": 0.1, + "grad_norm": 1.729186828598191, + "learning_rate": 1.9715608051957753e-05, + "loss": 0.8865, + "step": 4407 + }, + { + "epoch": 0.1, + "grad_norm": 2.1695540268038176, + "learning_rate": 1.971542734302415e-05, + "loss": 1.0034, + "step": 4408 + }, + { + "epoch": 0.1, + "grad_norm": 1.6017179620845476, + "learning_rate": 1.9715246577524258e-05, + "loss": 0.8968, + "step": 4409 + }, + { + "epoch": 0.1, + "grad_norm": 1.9200584899427366, + "learning_rate": 1.9715065755459122e-05, + "loss": 0.9143, + "step": 4410 + }, + { + "epoch": 0.1, + "grad_norm": 1.690982010567964, + "learning_rate": 1.9714884876829797e-05, + "loss": 0.9588, + "step": 4411 + }, + { + "epoch": 0.1, + "grad_norm": 2.095251749882023, + "learning_rate": 1.9714703941637333e-05, + "loss": 0.8379, + "step": 4412 + }, + { + "epoch": 0.1, + "grad_norm": 2.099306528988774, + "learning_rate": 1.9714522949882794e-05, + "loss": 0.9948, + "step": 4413 + }, + { + "epoch": 0.1, + "grad_norm": 2.0551290691863735, + "learning_rate": 1.9714341901567223e-05, + "loss": 1.0125, + "step": 4414 + }, + { + "epoch": 0.1, + "grad_norm": 1.8948205879939266, + "learning_rate": 1.971416079669168e-05, + "loss": 0.7463, + "step": 4415 + }, + { + "epoch": 0.1, + "grad_norm": 1.8839503306560772, + "learning_rate": 1.9713979635257215e-05, + "loss": 0.9135, + "step": 4416 + }, + { + "epoch": 0.1, + "grad_norm": 1.654514103816669, + "learning_rate": 1.9713798417264885e-05, + "loss": 1.0193, + "step": 4417 + }, + { + "epoch": 0.1, + "grad_norm": 1.6012696332223952, + "learning_rate": 1.9713617142715748e-05, + "loss": 0.9636, + "step": 4418 + }, + { + "epoch": 0.1, + "grad_norm": 1.5059046066891901, + "learning_rate": 1.9713435811610855e-05, + "loss": 0.9727, + "step": 4419 + }, + { + "epoch": 0.1, + "grad_norm": 4.652964806573785, + "learning_rate": 1.9713254423951263e-05, + "loss": 0.9103, + "step": 4420 + }, + { + "epoch": 0.1, + "grad_norm": 0.8345199915108004, + "learning_rate": 1.971307297973803e-05, + "loss": 0.7049, + "step": 4421 + }, + { + "epoch": 0.1, + "grad_norm": 1.7019373468037755, + "learning_rate": 1.971289147897221e-05, + "loss": 0.8737, + "step": 4422 + }, + { + "epoch": 0.1, + "grad_norm": 1.6224972223161618, + "learning_rate": 1.971270992165486e-05, + "loss": 0.9527, + "step": 4423 + }, + { + "epoch": 0.1, + "grad_norm": 1.6615561697293308, + "learning_rate": 1.971252830778704e-05, + "loss": 0.9011, + "step": 4424 + }, + { + "epoch": 0.1, + "grad_norm": 1.7239278570192496, + "learning_rate": 1.9712346637369803e-05, + "loss": 0.8758, + "step": 4425 + }, + { + "epoch": 0.1, + "grad_norm": 2.1378263166087708, + "learning_rate": 1.971216491040421e-05, + "loss": 0.9979, + "step": 4426 + }, + { + "epoch": 0.1, + "grad_norm": 1.769112062559253, + "learning_rate": 1.971198312689132e-05, + "loss": 0.9304, + "step": 4427 + }, + { + "epoch": 0.1, + "grad_norm": 1.876851590207032, + "learning_rate": 1.9711801286832186e-05, + "loss": 1.0211, + "step": 4428 + }, + { + "epoch": 0.1, + "grad_norm": 2.502278925203113, + "learning_rate": 1.971161939022787e-05, + "loss": 0.9597, + "step": 4429 + }, + { + "epoch": 0.1, + "grad_norm": 1.5262270329844183, + "learning_rate": 1.9711437437079436e-05, + "loss": 0.8549, + "step": 4430 + }, + { + "epoch": 0.1, + "grad_norm": 1.635270781147331, + "learning_rate": 1.9711255427387935e-05, + "loss": 0.9218, + "step": 4431 + }, + { + "epoch": 0.1, + "grad_norm": 1.692385886246487, + "learning_rate": 1.9711073361154433e-05, + "loss": 0.9838, + "step": 4432 + }, + { + "epoch": 0.1, + "grad_norm": 1.7144125519539606, + "learning_rate": 1.9710891238379984e-05, + "loss": 0.9086, + "step": 4433 + }, + { + "epoch": 0.1, + "grad_norm": 1.7607096687006005, + "learning_rate": 1.9710709059065653e-05, + "loss": 0.8617, + "step": 4434 + }, + { + "epoch": 0.1, + "grad_norm": 1.719052308728783, + "learning_rate": 1.97105268232125e-05, + "loss": 0.8974, + "step": 4435 + }, + { + "epoch": 0.1, + "grad_norm": 0.7740162785986178, + "learning_rate": 1.9710344530821586e-05, + "loss": 0.7107, + "step": 4436 + }, + { + "epoch": 0.1, + "grad_norm": 1.6134495386352805, + "learning_rate": 1.9710162181893972e-05, + "loss": 1.0992, + "step": 4437 + }, + { + "epoch": 0.1, + "grad_norm": 0.768010147484293, + "learning_rate": 1.9709979776430717e-05, + "loss": 0.7243, + "step": 4438 + }, + { + "epoch": 0.1, + "grad_norm": 1.6201939346742953, + "learning_rate": 1.9709797314432885e-05, + "loss": 0.9401, + "step": 4439 + }, + { + "epoch": 0.1, + "grad_norm": 1.7065402728272292, + "learning_rate": 1.9709614795901543e-05, + "loss": 0.9449, + "step": 4440 + }, + { + "epoch": 0.1, + "grad_norm": 1.8474557239583624, + "learning_rate": 1.9709432220837748e-05, + "loss": 0.9485, + "step": 4441 + }, + { + "epoch": 0.1, + "grad_norm": 1.5376521951605344, + "learning_rate": 1.9709249589242564e-05, + "loss": 1.0804, + "step": 4442 + }, + { + "epoch": 0.1, + "grad_norm": 1.9646879512792803, + "learning_rate": 1.970906690111706e-05, + "loss": 0.7924, + "step": 4443 + }, + { + "epoch": 0.1, + "grad_norm": 1.9453214113228132, + "learning_rate": 1.9708884156462286e-05, + "loss": 1.076, + "step": 4444 + }, + { + "epoch": 0.1, + "grad_norm": 2.023685108003052, + "learning_rate": 1.970870135527932e-05, + "loss": 0.927, + "step": 4445 + }, + { + "epoch": 0.1, + "grad_norm": 1.6448452295775995, + "learning_rate": 1.970851849756922e-05, + "loss": 0.9669, + "step": 4446 + }, + { + "epoch": 0.1, + "grad_norm": 1.7832730807931134, + "learning_rate": 1.9708335583333052e-05, + "loss": 1.0053, + "step": 4447 + }, + { + "epoch": 0.1, + "grad_norm": 1.7272395969265342, + "learning_rate": 1.970815261257188e-05, + "loss": 1.0059, + "step": 4448 + }, + { + "epoch": 0.1, + "grad_norm": 0.7990096788432831, + "learning_rate": 1.970796958528677e-05, + "loss": 0.7893, + "step": 4449 + }, + { + "epoch": 0.1, + "grad_norm": 0.76783003964226, + "learning_rate": 1.970778650147879e-05, + "loss": 0.7248, + "step": 4450 + }, + { + "epoch": 0.1, + "grad_norm": 1.7341175440339232, + "learning_rate": 1.9707603361149e-05, + "loss": 0.97, + "step": 4451 + }, + { + "epoch": 0.1, + "grad_norm": 1.5568840761102407, + "learning_rate": 1.970742016429847e-05, + "loss": 0.8696, + "step": 4452 + }, + { + "epoch": 0.1, + "grad_norm": 0.7306368927422952, + "learning_rate": 1.970723691092827e-05, + "loss": 0.7591, + "step": 4453 + }, + { + "epoch": 0.1, + "grad_norm": 1.9748437214279693, + "learning_rate": 1.970705360103946e-05, + "loss": 0.8951, + "step": 4454 + }, + { + "epoch": 0.1, + "grad_norm": 0.8063075387649139, + "learning_rate": 1.9706870234633114e-05, + "loss": 0.753, + "step": 4455 + }, + { + "epoch": 0.1, + "grad_norm": 2.2791348705472902, + "learning_rate": 1.970668681171029e-05, + "loss": 0.9805, + "step": 4456 + }, + { + "epoch": 0.11, + "grad_norm": 1.9136419915138554, + "learning_rate": 1.970650333227207e-05, + "loss": 0.9476, + "step": 4457 + }, + { + "epoch": 0.11, + "grad_norm": 1.9149579488909905, + "learning_rate": 1.970631979631951e-05, + "loss": 0.9456, + "step": 4458 + }, + { + "epoch": 0.11, + "grad_norm": 1.5685012880552083, + "learning_rate": 1.9706136203853684e-05, + "loss": 0.9846, + "step": 4459 + }, + { + "epoch": 0.11, + "grad_norm": 1.498406839221745, + "learning_rate": 1.970595255487566e-05, + "loss": 0.8582, + "step": 4460 + }, + { + "epoch": 0.11, + "grad_norm": 0.7672990553340338, + "learning_rate": 1.970576884938651e-05, + "loss": 0.7254, + "step": 4461 + }, + { + "epoch": 0.11, + "grad_norm": 1.7755522695198187, + "learning_rate": 1.9705585087387297e-05, + "loss": 0.8834, + "step": 4462 + }, + { + "epoch": 0.11, + "grad_norm": 2.4488771719121742, + "learning_rate": 1.9705401268879095e-05, + "loss": 0.9362, + "step": 4463 + }, + { + "epoch": 0.11, + "grad_norm": 1.6538408171465613, + "learning_rate": 1.9705217393862977e-05, + "loss": 1.0115, + "step": 4464 + }, + { + "epoch": 0.11, + "grad_norm": 0.8246164573185605, + "learning_rate": 1.970503346234001e-05, + "loss": 0.7716, + "step": 4465 + }, + { + "epoch": 0.11, + "grad_norm": 2.032189022197064, + "learning_rate": 1.9704849474311266e-05, + "loss": 0.976, + "step": 4466 + }, + { + "epoch": 0.11, + "grad_norm": 1.698564651071886, + "learning_rate": 1.9704665429777815e-05, + "loss": 1.0395, + "step": 4467 + }, + { + "epoch": 0.11, + "grad_norm": 1.9024735126272536, + "learning_rate": 1.9704481328740726e-05, + "loss": 0.9689, + "step": 4468 + }, + { + "epoch": 0.11, + "grad_norm": 0.7794453220639045, + "learning_rate": 1.9704297171201082e-05, + "loss": 0.7297, + "step": 4469 + }, + { + "epoch": 0.11, + "grad_norm": 2.139414625709916, + "learning_rate": 1.970411295715994e-05, + "loss": 0.9487, + "step": 4470 + }, + { + "epoch": 0.11, + "grad_norm": 1.999292658326995, + "learning_rate": 1.9703928686618384e-05, + "loss": 0.9591, + "step": 4471 + }, + { + "epoch": 0.11, + "grad_norm": 1.681003640013536, + "learning_rate": 1.9703744359577483e-05, + "loss": 1.0441, + "step": 4472 + }, + { + "epoch": 0.11, + "grad_norm": 1.712209742578257, + "learning_rate": 1.9703559976038308e-05, + "loss": 0.793, + "step": 4473 + }, + { + "epoch": 0.11, + "grad_norm": 0.8029355321135908, + "learning_rate": 1.9703375536001937e-05, + "loss": 0.7518, + "step": 4474 + }, + { + "epoch": 0.11, + "grad_norm": 0.7961791713920996, + "learning_rate": 1.970319103946944e-05, + "loss": 0.7595, + "step": 4475 + }, + { + "epoch": 0.11, + "grad_norm": 2.0983856833188677, + "learning_rate": 1.9703006486441895e-05, + "loss": 0.8108, + "step": 4476 + }, + { + "epoch": 0.11, + "grad_norm": 1.5462543160152122, + "learning_rate": 1.9702821876920374e-05, + "loss": 0.8955, + "step": 4477 + }, + { + "epoch": 0.11, + "grad_norm": 1.746726510082591, + "learning_rate": 1.970263721090595e-05, + "loss": 0.8659, + "step": 4478 + }, + { + "epoch": 0.11, + "grad_norm": 3.2927271488403633, + "learning_rate": 1.97024524883997e-05, + "loss": 0.9322, + "step": 4479 + }, + { + "epoch": 0.11, + "grad_norm": 1.6142216693424245, + "learning_rate": 1.9702267709402703e-05, + "loss": 0.9618, + "step": 4480 + }, + { + "epoch": 0.11, + "grad_norm": 1.711191937256012, + "learning_rate": 1.970208287391603e-05, + "loss": 0.8988, + "step": 4481 + }, + { + "epoch": 0.11, + "grad_norm": 0.8213923587204061, + "learning_rate": 1.970189798194076e-05, + "loss": 0.7964, + "step": 4482 + }, + { + "epoch": 0.11, + "grad_norm": 1.659219201102557, + "learning_rate": 1.9701713033477965e-05, + "loss": 1.024, + "step": 4483 + }, + { + "epoch": 0.11, + "grad_norm": 1.7677045871415844, + "learning_rate": 1.9701528028528728e-05, + "loss": 0.9345, + "step": 4484 + }, + { + "epoch": 0.11, + "grad_norm": 1.5435025691679494, + "learning_rate": 1.970134296709412e-05, + "loss": 0.8422, + "step": 4485 + }, + { + "epoch": 0.11, + "grad_norm": 1.7167798741996654, + "learning_rate": 1.970115784917523e-05, + "loss": 0.9976, + "step": 4486 + }, + { + "epoch": 0.11, + "grad_norm": 1.8461675388258343, + "learning_rate": 1.970097267477312e-05, + "loss": 0.9249, + "step": 4487 + }, + { + "epoch": 0.11, + "grad_norm": 2.0783953651029328, + "learning_rate": 1.9700787443888877e-05, + "loss": 0.9106, + "step": 4488 + }, + { + "epoch": 0.11, + "grad_norm": 1.7247543334792195, + "learning_rate": 1.9700602156523582e-05, + "loss": 0.9012, + "step": 4489 + }, + { + "epoch": 0.11, + "grad_norm": 1.750907782574964, + "learning_rate": 1.9700416812678303e-05, + "loss": 1.0446, + "step": 4490 + }, + { + "epoch": 0.11, + "grad_norm": 1.8407309693883362, + "learning_rate": 1.9700231412354134e-05, + "loss": 0.9168, + "step": 4491 + }, + { + "epoch": 0.11, + "grad_norm": 1.7080181853806569, + "learning_rate": 1.9700045955552143e-05, + "loss": 0.9525, + "step": 4492 + }, + { + "epoch": 0.11, + "grad_norm": 1.634929604660027, + "learning_rate": 1.9699860442273417e-05, + "loss": 0.9129, + "step": 4493 + }, + { + "epoch": 0.11, + "grad_norm": 0.8019399337724772, + "learning_rate": 1.9699674872519026e-05, + "loss": 0.765, + "step": 4494 + }, + { + "epoch": 0.11, + "grad_norm": 1.8734489302208455, + "learning_rate": 1.969948924629006e-05, + "loss": 0.9445, + "step": 4495 + }, + { + "epoch": 0.11, + "grad_norm": 1.6379933790088237, + "learning_rate": 1.9699303563587596e-05, + "loss": 0.9609, + "step": 4496 + }, + { + "epoch": 0.11, + "grad_norm": 1.7373715418020117, + "learning_rate": 1.9699117824412718e-05, + "loss": 0.9508, + "step": 4497 + }, + { + "epoch": 0.11, + "grad_norm": 1.9033131033825461, + "learning_rate": 1.9698932028766506e-05, + "loss": 0.9132, + "step": 4498 + }, + { + "epoch": 0.11, + "grad_norm": 2.426388237119813, + "learning_rate": 1.969874617665004e-05, + "loss": 0.9906, + "step": 4499 + }, + { + "epoch": 0.11, + "grad_norm": 1.9205777860804698, + "learning_rate": 1.96985602680644e-05, + "loss": 0.9706, + "step": 4500 + }, + { + "epoch": 0.11, + "grad_norm": 1.9761028738839161, + "learning_rate": 1.969837430301068e-05, + "loss": 0.9128, + "step": 4501 + }, + { + "epoch": 0.11, + "grad_norm": 2.647434696419593, + "learning_rate": 1.9698188281489944e-05, + "loss": 0.8482, + "step": 4502 + }, + { + "epoch": 0.11, + "grad_norm": 1.792656099836318, + "learning_rate": 1.969800220350329e-05, + "loss": 1.0597, + "step": 4503 + }, + { + "epoch": 0.11, + "grad_norm": 1.9042788032291675, + "learning_rate": 1.96978160690518e-05, + "loss": 0.9295, + "step": 4504 + }, + { + "epoch": 0.11, + "grad_norm": 0.7999726371380159, + "learning_rate": 1.969762987813655e-05, + "loss": 0.7721, + "step": 4505 + }, + { + "epoch": 0.11, + "grad_norm": 1.9298109500300236, + "learning_rate": 1.969744363075863e-05, + "loss": 0.8706, + "step": 4506 + }, + { + "epoch": 0.11, + "grad_norm": 1.475856100800338, + "learning_rate": 1.9697257326919123e-05, + "loss": 0.8822, + "step": 4507 + }, + { + "epoch": 0.11, + "grad_norm": 0.7714053169882339, + "learning_rate": 1.9697070966619115e-05, + "loss": 0.7678, + "step": 4508 + }, + { + "epoch": 0.11, + "grad_norm": 0.7351280134374112, + "learning_rate": 1.969688454985969e-05, + "loss": 0.7471, + "step": 4509 + }, + { + "epoch": 0.11, + "grad_norm": 1.728966912006734, + "learning_rate": 1.969669807664193e-05, + "loss": 0.9808, + "step": 4510 + }, + { + "epoch": 0.11, + "grad_norm": 1.6980332120514798, + "learning_rate": 1.969651154696693e-05, + "loss": 0.893, + "step": 4511 + }, + { + "epoch": 0.11, + "grad_norm": 1.9298909667257296, + "learning_rate": 1.9696324960835763e-05, + "loss": 0.8563, + "step": 4512 + }, + { + "epoch": 0.11, + "grad_norm": 1.7164002941908738, + "learning_rate": 1.9696138318249526e-05, + "loss": 0.8557, + "step": 4513 + }, + { + "epoch": 0.11, + "grad_norm": 1.7418626125155636, + "learning_rate": 1.96959516192093e-05, + "loss": 0.9126, + "step": 4514 + }, + { + "epoch": 0.11, + "grad_norm": 1.6697986836892924, + "learning_rate": 1.9695764863716173e-05, + "loss": 0.9532, + "step": 4515 + }, + { + "epoch": 0.11, + "grad_norm": 1.7530102348350747, + "learning_rate": 1.9695578051771238e-05, + "loss": 0.8873, + "step": 4516 + }, + { + "epoch": 0.11, + "grad_norm": 0.8094660265223976, + "learning_rate": 1.9695391183375575e-05, + "loss": 0.7317, + "step": 4517 + }, + { + "epoch": 0.11, + "grad_norm": 1.7402826042227242, + "learning_rate": 1.9695204258530273e-05, + "loss": 0.963, + "step": 4518 + }, + { + "epoch": 0.11, + "grad_norm": 1.9267653044388449, + "learning_rate": 1.9695017277236425e-05, + "loss": 0.8581, + "step": 4519 + }, + { + "epoch": 0.11, + "grad_norm": 1.6603684542526114, + "learning_rate": 1.969483023949512e-05, + "loss": 0.827, + "step": 4520 + }, + { + "epoch": 0.11, + "grad_norm": 1.740994646606985, + "learning_rate": 1.969464314530744e-05, + "loss": 0.8595, + "step": 4521 + }, + { + "epoch": 0.11, + "grad_norm": 1.7121317385431818, + "learning_rate": 1.9694455994674476e-05, + "loss": 0.9537, + "step": 4522 + }, + { + "epoch": 0.11, + "grad_norm": 1.83800426941244, + "learning_rate": 1.9694268787597328e-05, + "loss": 0.9746, + "step": 4523 + }, + { + "epoch": 0.11, + "grad_norm": 1.7312248676818385, + "learning_rate": 1.9694081524077072e-05, + "loss": 0.898, + "step": 4524 + }, + { + "epoch": 0.11, + "grad_norm": 1.7429293999312032, + "learning_rate": 1.9693894204114803e-05, + "loss": 1.0381, + "step": 4525 + }, + { + "epoch": 0.11, + "grad_norm": 1.8493147165335613, + "learning_rate": 1.9693706827711615e-05, + "loss": 0.9136, + "step": 4526 + }, + { + "epoch": 0.11, + "grad_norm": 1.5361497395195773, + "learning_rate": 1.9693519394868595e-05, + "loss": 0.8649, + "step": 4527 + }, + { + "epoch": 0.11, + "grad_norm": 1.6480348228013957, + "learning_rate": 1.9693331905586842e-05, + "loss": 0.9681, + "step": 4528 + }, + { + "epoch": 0.11, + "grad_norm": 1.6554300619711348, + "learning_rate": 1.9693144359867436e-05, + "loss": 1.0341, + "step": 4529 + }, + { + "epoch": 0.11, + "grad_norm": 1.9104211434099394, + "learning_rate": 1.969295675771148e-05, + "loss": 0.8793, + "step": 4530 + }, + { + "epoch": 0.11, + "grad_norm": 1.7195662163979113, + "learning_rate": 1.9692769099120054e-05, + "loss": 0.765, + "step": 4531 + }, + { + "epoch": 0.11, + "grad_norm": 1.7076694700110546, + "learning_rate": 1.9692581384094262e-05, + "loss": 0.8185, + "step": 4532 + }, + { + "epoch": 0.11, + "grad_norm": 2.1170292680452336, + "learning_rate": 1.9692393612635192e-05, + "loss": 0.8015, + "step": 4533 + }, + { + "epoch": 0.11, + "grad_norm": 1.619196368367749, + "learning_rate": 1.9692205784743938e-05, + "loss": 0.8716, + "step": 4534 + }, + { + "epoch": 0.11, + "grad_norm": 1.62458439283311, + "learning_rate": 1.9692017900421594e-05, + "loss": 0.983, + "step": 4535 + }, + { + "epoch": 0.11, + "grad_norm": 1.4695051593609025, + "learning_rate": 1.969182995966925e-05, + "loss": 0.8876, + "step": 4536 + }, + { + "epoch": 0.11, + "grad_norm": 1.7432112220754734, + "learning_rate": 1.969164196248801e-05, + "loss": 0.8806, + "step": 4537 + }, + { + "epoch": 0.11, + "grad_norm": 0.786782936751102, + "learning_rate": 1.9691453908878957e-05, + "loss": 0.7085, + "step": 4538 + }, + { + "epoch": 0.11, + "grad_norm": 1.7583199840865997, + "learning_rate": 1.969126579884319e-05, + "loss": 0.8487, + "step": 4539 + }, + { + "epoch": 0.11, + "grad_norm": 1.9201709875780886, + "learning_rate": 1.969107763238181e-05, + "loss": 0.9758, + "step": 4540 + }, + { + "epoch": 0.11, + "grad_norm": 1.9950434311800125, + "learning_rate": 1.9690889409495905e-05, + "loss": 0.937, + "step": 4541 + }, + { + "epoch": 0.11, + "grad_norm": 1.7555286936582715, + "learning_rate": 1.9690701130186576e-05, + "loss": 0.982, + "step": 4542 + }, + { + "epoch": 0.11, + "grad_norm": 1.6836632099670303, + "learning_rate": 1.9690512794454915e-05, + "loss": 0.9374, + "step": 4543 + }, + { + "epoch": 0.11, + "grad_norm": 1.6613296026780904, + "learning_rate": 1.969032440230202e-05, + "loss": 1.0113, + "step": 4544 + }, + { + "epoch": 0.11, + "grad_norm": 2.2084489437851036, + "learning_rate": 1.969013595372899e-05, + "loss": 0.8521, + "step": 4545 + }, + { + "epoch": 0.11, + "grad_norm": 1.7430976505077065, + "learning_rate": 1.9689947448736918e-05, + "loss": 0.9932, + "step": 4546 + }, + { + "epoch": 0.11, + "grad_norm": 1.6576833311331574, + "learning_rate": 1.9689758887326905e-05, + "loss": 0.9221, + "step": 4547 + }, + { + "epoch": 0.11, + "grad_norm": 1.8864809420821094, + "learning_rate": 1.9689570269500053e-05, + "loss": 0.9224, + "step": 4548 + }, + { + "epoch": 0.11, + "grad_norm": 1.5413253295852145, + "learning_rate": 1.968938159525745e-05, + "loss": 0.8993, + "step": 4549 + }, + { + "epoch": 0.11, + "grad_norm": 1.7135295924468443, + "learning_rate": 1.9689192864600203e-05, + "loss": 1.0195, + "step": 4550 + }, + { + "epoch": 0.11, + "grad_norm": 1.6537688211530275, + "learning_rate": 1.9689004077529405e-05, + "loss": 0.7888, + "step": 4551 + }, + { + "epoch": 0.11, + "grad_norm": 2.142300480365961, + "learning_rate": 1.968881523404616e-05, + "loss": 0.8802, + "step": 4552 + }, + { + "epoch": 0.11, + "grad_norm": 2.304535136386689, + "learning_rate": 1.968862633415156e-05, + "loss": 1.0037, + "step": 4553 + }, + { + "epoch": 0.11, + "grad_norm": 1.6935470978794263, + "learning_rate": 1.9688437377846714e-05, + "loss": 0.8334, + "step": 4554 + }, + { + "epoch": 0.11, + "grad_norm": 1.5090739442831977, + "learning_rate": 1.968824836513272e-05, + "loss": 0.846, + "step": 4555 + }, + { + "epoch": 0.11, + "grad_norm": 1.6496532366577514, + "learning_rate": 1.9688059296010676e-05, + "loss": 0.8506, + "step": 4556 + }, + { + "epoch": 0.11, + "grad_norm": 1.6231303718048962, + "learning_rate": 1.968787017048168e-05, + "loss": 0.827, + "step": 4557 + }, + { + "epoch": 0.11, + "grad_norm": 1.8019129767388589, + "learning_rate": 1.968768098854684e-05, + "loss": 0.8441, + "step": 4558 + }, + { + "epoch": 0.11, + "grad_norm": 1.6195121700929065, + "learning_rate": 1.9687491750207255e-05, + "loss": 0.8625, + "step": 4559 + }, + { + "epoch": 0.11, + "grad_norm": 1.5092451177141344, + "learning_rate": 1.9687302455464025e-05, + "loss": 1.1036, + "step": 4560 + }, + { + "epoch": 0.11, + "grad_norm": 0.7808103072129279, + "learning_rate": 1.9687113104318252e-05, + "loss": 0.6962, + "step": 4561 + }, + { + "epoch": 0.11, + "grad_norm": 1.6835990969153685, + "learning_rate": 1.968692369677104e-05, + "loss": 0.8882, + "step": 4562 + }, + { + "epoch": 0.11, + "grad_norm": 4.192368329955546, + "learning_rate": 1.968673423282349e-05, + "loss": 0.8951, + "step": 4563 + }, + { + "epoch": 0.11, + "grad_norm": 1.5113188261145414, + "learning_rate": 1.968654471247671e-05, + "loss": 0.9052, + "step": 4564 + }, + { + "epoch": 0.11, + "grad_norm": 2.530391320295916, + "learning_rate": 1.9686355135731797e-05, + "loss": 1.0183, + "step": 4565 + }, + { + "epoch": 0.11, + "grad_norm": 1.657237527540704, + "learning_rate": 1.968616550258986e-05, + "loss": 0.914, + "step": 4566 + }, + { + "epoch": 0.11, + "grad_norm": 1.8112596490561494, + "learning_rate": 1.9685975813052e-05, + "loss": 0.9232, + "step": 4567 + }, + { + "epoch": 0.11, + "grad_norm": 1.4587166024233122, + "learning_rate": 1.968578606711932e-05, + "loss": 0.9548, + "step": 4568 + }, + { + "epoch": 0.11, + "grad_norm": 2.082119999172934, + "learning_rate": 1.968559626479293e-05, + "loss": 0.9467, + "step": 4569 + }, + { + "epoch": 0.11, + "grad_norm": 1.8516013759669399, + "learning_rate": 1.9685406406073933e-05, + "loss": 0.8623, + "step": 4570 + }, + { + "epoch": 0.11, + "grad_norm": 1.6490712633454059, + "learning_rate": 1.968521649096343e-05, + "loss": 0.9681, + "step": 4571 + }, + { + "epoch": 0.11, + "grad_norm": 1.4944776048873047, + "learning_rate": 1.9685026519462535e-05, + "loss": 0.8316, + "step": 4572 + }, + { + "epoch": 0.11, + "grad_norm": 0.7979885086327665, + "learning_rate": 1.9684836491572342e-05, + "loss": 0.7912, + "step": 4573 + }, + { + "epoch": 0.11, + "grad_norm": 1.6995418926775048, + "learning_rate": 1.9684646407293974e-05, + "loss": 0.8949, + "step": 4574 + }, + { + "epoch": 0.11, + "grad_norm": 0.7840287081698343, + "learning_rate": 1.9684456266628524e-05, + "loss": 0.7454, + "step": 4575 + }, + { + "epoch": 0.11, + "grad_norm": 1.9388649117888836, + "learning_rate": 1.96842660695771e-05, + "loss": 0.9397, + "step": 4576 + }, + { + "epoch": 0.11, + "grad_norm": 2.1248343973537684, + "learning_rate": 1.9684075816140817e-05, + "loss": 0.9176, + "step": 4577 + }, + { + "epoch": 0.11, + "grad_norm": 1.6377255167774671, + "learning_rate": 1.968388550632078e-05, + "loss": 0.8709, + "step": 4578 + }, + { + "epoch": 0.11, + "grad_norm": 1.7950959815492742, + "learning_rate": 1.9683695140118093e-05, + "loss": 0.8012, + "step": 4579 + }, + { + "epoch": 0.11, + "grad_norm": 1.5419064422679254, + "learning_rate": 1.9683504717533868e-05, + "loss": 0.8806, + "step": 4580 + }, + { + "epoch": 0.11, + "grad_norm": 1.4936154227854794, + "learning_rate": 1.9683314238569215e-05, + "loss": 0.8323, + "step": 4581 + }, + { + "epoch": 0.11, + "grad_norm": 1.6680598635929338, + "learning_rate": 1.9683123703225236e-05, + "loss": 0.918, + "step": 4582 + }, + { + "epoch": 0.11, + "grad_norm": 1.7573024489916387, + "learning_rate": 1.968293311150305e-05, + "loss": 1.0154, + "step": 4583 + }, + { + "epoch": 0.11, + "grad_norm": 3.0075309410213067, + "learning_rate": 1.9682742463403755e-05, + "loss": 0.8262, + "step": 4584 + }, + { + "epoch": 0.11, + "grad_norm": 1.8051440678179618, + "learning_rate": 1.9682551758928473e-05, + "loss": 0.9383, + "step": 4585 + }, + { + "epoch": 0.11, + "grad_norm": 2.3530999871964204, + "learning_rate": 1.968236099807831e-05, + "loss": 0.8906, + "step": 4586 + }, + { + "epoch": 0.11, + "grad_norm": 1.6287616904759656, + "learning_rate": 1.9682170180854373e-05, + "loss": 0.9313, + "step": 4587 + }, + { + "epoch": 0.11, + "grad_norm": 0.7666386989008482, + "learning_rate": 1.9681979307257778e-05, + "loss": 0.7541, + "step": 4588 + }, + { + "epoch": 0.11, + "grad_norm": 1.5146797311524258, + "learning_rate": 1.9681788377289633e-05, + "loss": 1.0285, + "step": 4589 + }, + { + "epoch": 0.11, + "grad_norm": 1.9153260093729088, + "learning_rate": 1.9681597390951052e-05, + "loss": 0.965, + "step": 4590 + }, + { + "epoch": 0.11, + "grad_norm": 2.0376922759481646, + "learning_rate": 1.9681406348243147e-05, + "loss": 0.8084, + "step": 4591 + }, + { + "epoch": 0.11, + "grad_norm": 1.7817448798590858, + "learning_rate": 1.968121524916703e-05, + "loss": 0.9022, + "step": 4592 + }, + { + "epoch": 0.11, + "grad_norm": 2.6319364872216218, + "learning_rate": 1.9681024093723805e-05, + "loss": 0.9015, + "step": 4593 + }, + { + "epoch": 0.11, + "grad_norm": 1.82114101302273, + "learning_rate": 1.9680832881914598e-05, + "loss": 0.9005, + "step": 4594 + }, + { + "epoch": 0.11, + "grad_norm": 1.8380622872280292, + "learning_rate": 1.9680641613740515e-05, + "loss": 0.833, + "step": 4595 + }, + { + "epoch": 0.11, + "grad_norm": 1.881638055682309, + "learning_rate": 1.968045028920268e-05, + "loss": 0.9591, + "step": 4596 + }, + { + "epoch": 0.11, + "grad_norm": 3.1726802222767114, + "learning_rate": 1.968025890830219e-05, + "loss": 0.9491, + "step": 4597 + }, + { + "epoch": 0.11, + "grad_norm": 1.8644801555547952, + "learning_rate": 1.968006747104017e-05, + "loss": 0.9193, + "step": 4598 + }, + { + "epoch": 0.11, + "grad_norm": 1.6497054533269773, + "learning_rate": 1.9679875977417734e-05, + "loss": 0.934, + "step": 4599 + }, + { + "epoch": 0.11, + "grad_norm": 2.0636268220593514, + "learning_rate": 1.9679684427435993e-05, + "loss": 0.8342, + "step": 4600 + }, + { + "epoch": 0.11, + "grad_norm": 2.4680208755350006, + "learning_rate": 1.9679492821096065e-05, + "loss": 0.9746, + "step": 4601 + }, + { + "epoch": 0.11, + "grad_norm": 2.137636263916981, + "learning_rate": 1.9679301158399067e-05, + "loss": 1.021, + "step": 4602 + }, + { + "epoch": 0.11, + "grad_norm": 1.7468036854594207, + "learning_rate": 1.9679109439346114e-05, + "loss": 0.9808, + "step": 4603 + }, + { + "epoch": 0.11, + "grad_norm": 2.0145725040276123, + "learning_rate": 1.967891766393832e-05, + "loss": 0.9112, + "step": 4604 + }, + { + "epoch": 0.11, + "grad_norm": 2.3103969895230416, + "learning_rate": 1.9678725832176803e-05, + "loss": 0.9471, + "step": 4605 + }, + { + "epoch": 0.11, + "grad_norm": 1.572807184479499, + "learning_rate": 1.967853394406268e-05, + "loss": 0.8978, + "step": 4606 + }, + { + "epoch": 0.11, + "grad_norm": 1.815499753059093, + "learning_rate": 1.9678341999597066e-05, + "loss": 0.6975, + "step": 4607 + }, + { + "epoch": 0.11, + "grad_norm": 0.7567048209771629, + "learning_rate": 1.9678149998781083e-05, + "loss": 0.7682, + "step": 4608 + }, + { + "epoch": 0.11, + "grad_norm": 1.9971488435876033, + "learning_rate": 1.9677957941615847e-05, + "loss": 0.9132, + "step": 4609 + }, + { + "epoch": 0.11, + "grad_norm": 1.8442746146652627, + "learning_rate": 1.9677765828102477e-05, + "loss": 0.9773, + "step": 4610 + }, + { + "epoch": 0.11, + "grad_norm": 1.8808522682777373, + "learning_rate": 1.967757365824209e-05, + "loss": 0.8778, + "step": 4611 + }, + { + "epoch": 0.11, + "grad_norm": 1.7367773839393075, + "learning_rate": 1.9677381432035803e-05, + "loss": 0.979, + "step": 4612 + }, + { + "epoch": 0.11, + "grad_norm": 1.7509308124286889, + "learning_rate": 1.967718914948474e-05, + "loss": 0.9947, + "step": 4613 + }, + { + "epoch": 0.11, + "grad_norm": 1.896332109558975, + "learning_rate": 1.9676996810590016e-05, + "loss": 0.8723, + "step": 4614 + }, + { + "epoch": 0.11, + "grad_norm": 2.6465666118452718, + "learning_rate": 1.9676804415352752e-05, + "loss": 0.9025, + "step": 4615 + }, + { + "epoch": 0.11, + "grad_norm": 1.5387800874403679, + "learning_rate": 1.967661196377407e-05, + "loss": 0.937, + "step": 4616 + }, + { + "epoch": 0.11, + "grad_norm": 2.0657857613049107, + "learning_rate": 1.9676419455855093e-05, + "loss": 0.8999, + "step": 4617 + }, + { + "epoch": 0.11, + "grad_norm": 1.5569770706214718, + "learning_rate": 1.9676226891596934e-05, + "loss": 0.7729, + "step": 4618 + }, + { + "epoch": 0.11, + "grad_norm": 2.147949476571576, + "learning_rate": 1.967603427100072e-05, + "loss": 1.0316, + "step": 4619 + }, + { + "epoch": 0.11, + "grad_norm": 1.7801497985092907, + "learning_rate": 1.967584159406757e-05, + "loss": 0.874, + "step": 4620 + }, + { + "epoch": 0.11, + "grad_norm": 1.6565049189369414, + "learning_rate": 1.967564886079861e-05, + "loss": 1.006, + "step": 4621 + }, + { + "epoch": 0.11, + "grad_norm": 1.6796652780285461, + "learning_rate": 1.9675456071194957e-05, + "loss": 0.9736, + "step": 4622 + }, + { + "epoch": 0.11, + "grad_norm": 1.746160573962089, + "learning_rate": 1.9675263225257736e-05, + "loss": 0.8872, + "step": 4623 + }, + { + "epoch": 0.11, + "grad_norm": 2.1665028071169656, + "learning_rate": 1.967507032298807e-05, + "loss": 1.0179, + "step": 4624 + }, + { + "epoch": 0.11, + "grad_norm": 1.7108084877545622, + "learning_rate": 1.9674877364387083e-05, + "loss": 1.0003, + "step": 4625 + }, + { + "epoch": 0.11, + "grad_norm": 1.6472957356683642, + "learning_rate": 1.9674684349455893e-05, + "loss": 0.873, + "step": 4626 + }, + { + "epoch": 0.11, + "grad_norm": 1.499667316433825, + "learning_rate": 1.967449127819563e-05, + "loss": 0.9687, + "step": 4627 + }, + { + "epoch": 0.11, + "grad_norm": 1.4823253531886427, + "learning_rate": 1.9674298150607415e-05, + "loss": 0.9024, + "step": 4628 + }, + { + "epoch": 0.11, + "grad_norm": 1.7553464097925675, + "learning_rate": 1.9674104966692376e-05, + "loss": 0.9199, + "step": 4629 + }, + { + "epoch": 0.11, + "grad_norm": 1.6464394382824632, + "learning_rate": 1.9673911726451632e-05, + "loss": 0.847, + "step": 4630 + }, + { + "epoch": 0.11, + "grad_norm": 12.290105384345352, + "learning_rate": 1.967371842988631e-05, + "loss": 0.9142, + "step": 4631 + }, + { + "epoch": 0.11, + "grad_norm": 1.7218604817327094, + "learning_rate": 1.967352507699754e-05, + "loss": 0.9641, + "step": 4632 + }, + { + "epoch": 0.11, + "grad_norm": 1.7831937623620364, + "learning_rate": 1.9673331667786445e-05, + "loss": 1.0137, + "step": 4633 + }, + { + "epoch": 0.11, + "grad_norm": 0.7586389192902172, + "learning_rate": 1.9673138202254148e-05, + "loss": 0.7297, + "step": 4634 + }, + { + "epoch": 0.11, + "grad_norm": 1.6188413289412122, + "learning_rate": 1.9672944680401776e-05, + "loss": 0.8799, + "step": 4635 + }, + { + "epoch": 0.11, + "grad_norm": 1.8300836607173505, + "learning_rate": 1.967275110223046e-05, + "loss": 0.9876, + "step": 4636 + }, + { + "epoch": 0.11, + "grad_norm": 1.8747439358466573, + "learning_rate": 1.9672557467741325e-05, + "loss": 0.8625, + "step": 4637 + }, + { + "epoch": 0.11, + "grad_norm": 1.7422778139646022, + "learning_rate": 1.9672363776935503e-05, + "loss": 0.9247, + "step": 4638 + }, + { + "epoch": 0.11, + "grad_norm": 6.13070715362344, + "learning_rate": 1.9672170029814112e-05, + "loss": 1.136, + "step": 4639 + }, + { + "epoch": 0.11, + "grad_norm": 1.7664363970299772, + "learning_rate": 1.967197622637828e-05, + "loss": 0.7689, + "step": 4640 + }, + { + "epoch": 0.11, + "grad_norm": 2.538865236267219, + "learning_rate": 1.967178236662915e-05, + "loss": 0.9736, + "step": 4641 + }, + { + "epoch": 0.11, + "grad_norm": 1.7513923269421607, + "learning_rate": 1.9671588450567833e-05, + "loss": 0.8146, + "step": 4642 + }, + { + "epoch": 0.11, + "grad_norm": 1.6235883640590927, + "learning_rate": 1.9671394478195472e-05, + "loss": 0.8522, + "step": 4643 + }, + { + "epoch": 0.11, + "grad_norm": 1.5559427657284766, + "learning_rate": 1.9671200449513188e-05, + "loss": 0.8717, + "step": 4644 + }, + { + "epoch": 0.11, + "grad_norm": 2.033766187724597, + "learning_rate": 1.9671006364522115e-05, + "loss": 0.9285, + "step": 4645 + }, + { + "epoch": 0.11, + "grad_norm": 1.7251020802822552, + "learning_rate": 1.9670812223223378e-05, + "loss": 1.01, + "step": 4646 + }, + { + "epoch": 0.11, + "grad_norm": 2.1145753782209122, + "learning_rate": 1.9670618025618112e-05, + "loss": 0.9141, + "step": 4647 + }, + { + "epoch": 0.11, + "grad_norm": 1.7454091979439132, + "learning_rate": 1.9670423771707442e-05, + "loss": 0.8376, + "step": 4648 + }, + { + "epoch": 0.11, + "grad_norm": 1.7679897732628878, + "learning_rate": 1.967022946149251e-05, + "loss": 0.8295, + "step": 4649 + }, + { + "epoch": 0.11, + "grad_norm": 1.7874812957464326, + "learning_rate": 1.9670035094974435e-05, + "loss": 0.9785, + "step": 4650 + }, + { + "epoch": 0.11, + "grad_norm": 2.2586062370643396, + "learning_rate": 1.9669840672154358e-05, + "loss": 0.9536, + "step": 4651 + }, + { + "epoch": 0.11, + "grad_norm": 1.828093507031996, + "learning_rate": 1.9669646193033406e-05, + "loss": 0.9365, + "step": 4652 + }, + { + "epoch": 0.11, + "grad_norm": 1.5133720139004188, + "learning_rate": 1.9669451657612712e-05, + "loss": 0.9339, + "step": 4653 + }, + { + "epoch": 0.11, + "grad_norm": 1.594675481030571, + "learning_rate": 1.966925706589341e-05, + "loss": 0.76, + "step": 4654 + }, + { + "epoch": 0.11, + "grad_norm": 1.6059363145788148, + "learning_rate": 1.966906241787663e-05, + "loss": 0.7944, + "step": 4655 + }, + { + "epoch": 0.11, + "grad_norm": 0.792246600335743, + "learning_rate": 1.966886771356351e-05, + "loss": 0.7463, + "step": 4656 + }, + { + "epoch": 0.11, + "grad_norm": 1.9767232290072059, + "learning_rate": 1.966867295295518e-05, + "loss": 0.9103, + "step": 4657 + }, + { + "epoch": 0.11, + "grad_norm": 2.1277922714203723, + "learning_rate": 1.9668478136052776e-05, + "loss": 1.0294, + "step": 4658 + }, + { + "epoch": 0.11, + "grad_norm": 2.01124972213023, + "learning_rate": 1.966828326285743e-05, + "loss": 0.8945, + "step": 4659 + }, + { + "epoch": 0.11, + "grad_norm": 2.201492311315359, + "learning_rate": 1.966808833337028e-05, + "loss": 0.9411, + "step": 4660 + }, + { + "epoch": 0.11, + "grad_norm": 2.1407492939925037, + "learning_rate": 1.9667893347592458e-05, + "loss": 0.9454, + "step": 4661 + }, + { + "epoch": 0.11, + "grad_norm": 1.9988752084141526, + "learning_rate": 1.96676983055251e-05, + "loss": 0.9151, + "step": 4662 + }, + { + "epoch": 0.11, + "grad_norm": 1.8312533553271193, + "learning_rate": 1.9667503207169337e-05, + "loss": 0.8952, + "step": 4663 + }, + { + "epoch": 0.11, + "grad_norm": 1.7004535899872, + "learning_rate": 1.9667308052526318e-05, + "loss": 1.1224, + "step": 4664 + }, + { + "epoch": 0.11, + "grad_norm": 2.2029030631063655, + "learning_rate": 1.9667112841597164e-05, + "loss": 0.84, + "step": 4665 + }, + { + "epoch": 0.11, + "grad_norm": 1.6443442793510046, + "learning_rate": 1.9666917574383026e-05, + "loss": 0.976, + "step": 4666 + }, + { + "epoch": 0.11, + "grad_norm": 2.310980332071054, + "learning_rate": 1.9666722250885026e-05, + "loss": 0.9221, + "step": 4667 + }, + { + "epoch": 0.11, + "grad_norm": 3.8272056518887245, + "learning_rate": 1.9666526871104312e-05, + "loss": 0.845, + "step": 4668 + }, + { + "epoch": 0.11, + "grad_norm": 1.6998784166644063, + "learning_rate": 1.9666331435042017e-05, + "loss": 0.8625, + "step": 4669 + }, + { + "epoch": 0.11, + "grad_norm": 2.0342065995201573, + "learning_rate": 1.9666135942699278e-05, + "loss": 0.8755, + "step": 4670 + }, + { + "epoch": 0.11, + "grad_norm": 2.6288262843038748, + "learning_rate": 1.966594039407724e-05, + "loss": 1.0477, + "step": 4671 + }, + { + "epoch": 0.11, + "grad_norm": 2.1331652498298035, + "learning_rate": 1.9665744789177033e-05, + "loss": 0.849, + "step": 4672 + }, + { + "epoch": 0.11, + "grad_norm": 1.9653061405395698, + "learning_rate": 1.96655491279998e-05, + "loss": 0.9313, + "step": 4673 + }, + { + "epoch": 0.11, + "grad_norm": 1.6565240712508358, + "learning_rate": 1.9665353410546683e-05, + "loss": 0.9232, + "step": 4674 + }, + { + "epoch": 0.11, + "grad_norm": 4.536002677724345, + "learning_rate": 1.9665157636818816e-05, + "loss": 0.8009, + "step": 4675 + }, + { + "epoch": 0.11, + "grad_norm": 1.4291562823156196, + "learning_rate": 1.9664961806817343e-05, + "loss": 0.9182, + "step": 4676 + }, + { + "epoch": 0.11, + "grad_norm": 2.388149611560935, + "learning_rate": 1.96647659205434e-05, + "loss": 0.8667, + "step": 4677 + }, + { + "epoch": 0.11, + "grad_norm": 2.227253236676382, + "learning_rate": 1.9664569977998132e-05, + "loss": 1.0166, + "step": 4678 + }, + { + "epoch": 0.11, + "grad_norm": 1.6287736891290254, + "learning_rate": 1.9664373979182678e-05, + "loss": 1.067, + "step": 4679 + }, + { + "epoch": 0.11, + "grad_norm": 1.4971696938421788, + "learning_rate": 1.9664177924098178e-05, + "loss": 0.9395, + "step": 4680 + }, + { + "epoch": 0.11, + "grad_norm": 1.5858861870213137, + "learning_rate": 1.9663981812745777e-05, + "loss": 0.9422, + "step": 4681 + }, + { + "epoch": 0.11, + "grad_norm": 2.2422911092480122, + "learning_rate": 1.966378564512661e-05, + "loss": 0.9761, + "step": 4682 + }, + { + "epoch": 0.11, + "grad_norm": 2.0211675040678365, + "learning_rate": 1.9663589421241827e-05, + "loss": 0.9972, + "step": 4683 + }, + { + "epoch": 0.11, + "grad_norm": 2.426899902023638, + "learning_rate": 1.9663393141092565e-05, + "loss": 0.8633, + "step": 4684 + }, + { + "epoch": 0.11, + "grad_norm": 1.8260705464919984, + "learning_rate": 1.966319680467997e-05, + "loss": 0.8779, + "step": 4685 + }, + { + "epoch": 0.11, + "grad_norm": 1.762105704255822, + "learning_rate": 1.9663000412005182e-05, + "loss": 0.9948, + "step": 4686 + }, + { + "epoch": 0.11, + "grad_norm": 1.7686520424909664, + "learning_rate": 1.966280396306935e-05, + "loss": 1.0064, + "step": 4687 + }, + { + "epoch": 0.11, + "grad_norm": 2.0790876410592944, + "learning_rate": 1.966260745787361e-05, + "loss": 0.8331, + "step": 4688 + }, + { + "epoch": 0.11, + "grad_norm": 5.657699961509795, + "learning_rate": 1.966241089641911e-05, + "loss": 0.9357, + "step": 4689 + }, + { + "epoch": 0.11, + "grad_norm": 0.7709362135762144, + "learning_rate": 1.9662214278707e-05, + "loss": 0.7302, + "step": 4690 + }, + { + "epoch": 0.11, + "grad_norm": 1.6942217203636176, + "learning_rate": 1.9662017604738416e-05, + "loss": 0.9224, + "step": 4691 + }, + { + "epoch": 0.11, + "grad_norm": 1.6078638118938275, + "learning_rate": 1.9661820874514504e-05, + "loss": 0.893, + "step": 4692 + }, + { + "epoch": 0.11, + "grad_norm": 1.6202725168898697, + "learning_rate": 1.9661624088036414e-05, + "loss": 0.8448, + "step": 4693 + }, + { + "epoch": 0.11, + "grad_norm": 1.6393269812147153, + "learning_rate": 1.966142724530529e-05, + "loss": 0.9289, + "step": 4694 + }, + { + "epoch": 0.11, + "grad_norm": 1.7164191845790167, + "learning_rate": 1.966123034632228e-05, + "loss": 0.9038, + "step": 4695 + }, + { + "epoch": 0.11, + "grad_norm": 0.7648733706913361, + "learning_rate": 1.9661033391088526e-05, + "loss": 0.7329, + "step": 4696 + }, + { + "epoch": 0.11, + "grad_norm": 0.8243910102204306, + "learning_rate": 1.9660836379605176e-05, + "loss": 0.7241, + "step": 4697 + }, + { + "epoch": 0.11, + "grad_norm": 1.8058382774730102, + "learning_rate": 1.966063931187338e-05, + "loss": 0.8074, + "step": 4698 + }, + { + "epoch": 0.11, + "grad_norm": 1.7679217574402961, + "learning_rate": 1.9660442187894283e-05, + "loss": 0.9772, + "step": 4699 + }, + { + "epoch": 0.11, + "grad_norm": 1.8819375959352025, + "learning_rate": 1.9660245007669035e-05, + "loss": 0.8533, + "step": 4700 + }, + { + "epoch": 0.11, + "grad_norm": 2.95751364848122, + "learning_rate": 1.966004777119878e-05, + "loss": 0.8936, + "step": 4701 + }, + { + "epoch": 0.11, + "grad_norm": 0.8676404303466781, + "learning_rate": 1.9659850478484668e-05, + "loss": 0.808, + "step": 4702 + }, + { + "epoch": 0.11, + "grad_norm": 2.089905053828856, + "learning_rate": 1.965965312952785e-05, + "loss": 0.8409, + "step": 4703 + }, + { + "epoch": 0.11, + "grad_norm": 1.8926773881814378, + "learning_rate": 1.965945572432947e-05, + "loss": 0.8473, + "step": 4704 + }, + { + "epoch": 0.11, + "grad_norm": 1.9595247479971223, + "learning_rate": 1.9659258262890683e-05, + "loss": 1.0071, + "step": 4705 + }, + { + "epoch": 0.11, + "grad_norm": 1.8009499364481185, + "learning_rate": 1.9659060745212638e-05, + "loss": 0.8838, + "step": 4706 + }, + { + "epoch": 0.11, + "grad_norm": 1.9226504239011406, + "learning_rate": 1.9658863171296484e-05, + "loss": 0.8567, + "step": 4707 + }, + { + "epoch": 0.11, + "grad_norm": 0.7710814029816613, + "learning_rate": 1.9658665541143366e-05, + "loss": 0.716, + "step": 4708 + }, + { + "epoch": 0.11, + "grad_norm": 1.6732315358398637, + "learning_rate": 1.965846785475444e-05, + "loss": 0.9189, + "step": 4709 + }, + { + "epoch": 0.11, + "grad_norm": 0.7901637406794549, + "learning_rate": 1.965827011213086e-05, + "loss": 0.7691, + "step": 4710 + }, + { + "epoch": 0.11, + "grad_norm": 1.9144910843749918, + "learning_rate": 1.965807231327377e-05, + "loss": 0.9747, + "step": 4711 + }, + { + "epoch": 0.11, + "grad_norm": 2.3984843077309104, + "learning_rate": 1.965787445818433e-05, + "loss": 0.8372, + "step": 4712 + }, + { + "epoch": 0.11, + "grad_norm": 1.8621138063606224, + "learning_rate": 1.9657676546863682e-05, + "loss": 0.9587, + "step": 4713 + }, + { + "epoch": 0.11, + "grad_norm": 1.9617715866346666, + "learning_rate": 1.9657478579312984e-05, + "loss": 0.9666, + "step": 4714 + }, + { + "epoch": 0.11, + "grad_norm": 1.7766011942416786, + "learning_rate": 1.965728055553339e-05, + "loss": 0.8701, + "step": 4715 + }, + { + "epoch": 0.11, + "grad_norm": 1.8219889667201556, + "learning_rate": 1.965708247552605e-05, + "loss": 0.9628, + "step": 4716 + }, + { + "epoch": 0.11, + "grad_norm": 2.02198802178253, + "learning_rate": 1.9656884339292123e-05, + "loss": 0.9104, + "step": 4717 + }, + { + "epoch": 0.11, + "grad_norm": 1.6776273084058537, + "learning_rate": 1.9656686146832754e-05, + "loss": 0.801, + "step": 4718 + }, + { + "epoch": 0.11, + "grad_norm": 2.3966553752565387, + "learning_rate": 1.96564878981491e-05, + "loss": 0.9791, + "step": 4719 + }, + { + "epoch": 0.11, + "grad_norm": 1.8876611436045834, + "learning_rate": 1.965628959324232e-05, + "loss": 1.0203, + "step": 4720 + }, + { + "epoch": 0.11, + "grad_norm": 1.7703110029363869, + "learning_rate": 1.9656091232113562e-05, + "loss": 0.9597, + "step": 4721 + }, + { + "epoch": 0.11, + "grad_norm": 1.7841038848490511, + "learning_rate": 1.9655892814763984e-05, + "loss": 0.9165, + "step": 4722 + }, + { + "epoch": 0.11, + "grad_norm": 1.6184036364802397, + "learning_rate": 1.9655694341194743e-05, + "loss": 0.9784, + "step": 4723 + }, + { + "epoch": 0.11, + "grad_norm": 2.161781606572563, + "learning_rate": 1.965549581140699e-05, + "loss": 1.0807, + "step": 4724 + }, + { + "epoch": 0.11, + "grad_norm": 2.0076314889141176, + "learning_rate": 1.9655297225401884e-05, + "loss": 0.9226, + "step": 4725 + }, + { + "epoch": 0.11, + "grad_norm": 1.823516323195565, + "learning_rate": 1.965509858318058e-05, + "loss": 0.9914, + "step": 4726 + }, + { + "epoch": 0.11, + "grad_norm": 1.590853350180954, + "learning_rate": 1.9654899884744238e-05, + "loss": 0.8398, + "step": 4727 + }, + { + "epoch": 0.11, + "grad_norm": 1.7886950214718371, + "learning_rate": 1.965470113009401e-05, + "loss": 0.825, + "step": 4728 + }, + { + "epoch": 0.11, + "grad_norm": 1.776417010140368, + "learning_rate": 1.9654502319231056e-05, + "loss": 0.9181, + "step": 4729 + }, + { + "epoch": 0.11, + "grad_norm": 1.6160653483805014, + "learning_rate": 1.9654303452156535e-05, + "loss": 0.9322, + "step": 4730 + }, + { + "epoch": 0.11, + "grad_norm": 1.7374946981406678, + "learning_rate": 1.96541045288716e-05, + "loss": 0.9188, + "step": 4731 + }, + { + "epoch": 0.11, + "grad_norm": 1.5804200726141397, + "learning_rate": 1.9653905549377413e-05, + "loss": 1.0638, + "step": 4732 + }, + { + "epoch": 0.11, + "grad_norm": 1.9482663628146657, + "learning_rate": 1.965370651367513e-05, + "loss": 0.9613, + "step": 4733 + }, + { + "epoch": 0.11, + "grad_norm": 1.9853733591070268, + "learning_rate": 1.9653507421765914e-05, + "loss": 0.8456, + "step": 4734 + }, + { + "epoch": 0.11, + "grad_norm": 1.6792810836733831, + "learning_rate": 1.965330827365092e-05, + "loss": 1.0048, + "step": 4735 + }, + { + "epoch": 0.11, + "grad_norm": 1.6279332844414702, + "learning_rate": 1.965310906933131e-05, + "loss": 0.9092, + "step": 4736 + }, + { + "epoch": 0.11, + "grad_norm": 2.006812830923065, + "learning_rate": 1.9652909808808242e-05, + "loss": 0.8128, + "step": 4737 + }, + { + "epoch": 0.11, + "grad_norm": 1.6881472234749282, + "learning_rate": 1.965271049208288e-05, + "loss": 0.894, + "step": 4738 + }, + { + "epoch": 0.11, + "grad_norm": 1.7755694765634855, + "learning_rate": 1.9652511119156375e-05, + "loss": 0.819, + "step": 4739 + }, + { + "epoch": 0.11, + "grad_norm": 2.465876204499296, + "learning_rate": 1.96523116900299e-05, + "loss": 0.9335, + "step": 4740 + }, + { + "epoch": 0.11, + "grad_norm": 2.4077346713087717, + "learning_rate": 1.9652112204704608e-05, + "loss": 0.9807, + "step": 4741 + }, + { + "epoch": 0.11, + "grad_norm": 1.6973292378081575, + "learning_rate": 1.9651912663181665e-05, + "loss": 1.0676, + "step": 4742 + }, + { + "epoch": 0.11, + "grad_norm": 1.720457455612874, + "learning_rate": 1.965171306546223e-05, + "loss": 0.8669, + "step": 4743 + }, + { + "epoch": 0.11, + "grad_norm": 1.6633000832715332, + "learning_rate": 1.9651513411547466e-05, + "loss": 1.0105, + "step": 4744 + }, + { + "epoch": 0.11, + "grad_norm": 1.7417666277755612, + "learning_rate": 1.9651313701438533e-05, + "loss": 0.8745, + "step": 4745 + }, + { + "epoch": 0.11, + "grad_norm": 0.8028596033646398, + "learning_rate": 1.9651113935136596e-05, + "loss": 0.7958, + "step": 4746 + }, + { + "epoch": 0.11, + "grad_norm": 0.8019688888669627, + "learning_rate": 1.965091411264282e-05, + "loss": 0.764, + "step": 4747 + }, + { + "epoch": 0.11, + "grad_norm": 1.6813420952219575, + "learning_rate": 1.9650714233958367e-05, + "loss": 0.964, + "step": 4748 + }, + { + "epoch": 0.11, + "grad_norm": 1.964205338247612, + "learning_rate": 1.96505142990844e-05, + "loss": 0.8104, + "step": 4749 + }, + { + "epoch": 0.11, + "grad_norm": 1.8751069666574125, + "learning_rate": 1.9650314308022083e-05, + "loss": 0.969, + "step": 4750 + }, + { + "epoch": 0.11, + "grad_norm": 1.6916292523753438, + "learning_rate": 1.9650114260772583e-05, + "loss": 0.9216, + "step": 4751 + }, + { + "epoch": 0.11, + "grad_norm": 1.7940256636994352, + "learning_rate": 1.964991415733706e-05, + "loss": 0.996, + "step": 4752 + }, + { + "epoch": 0.11, + "grad_norm": 3.565478363249466, + "learning_rate": 1.964971399771668e-05, + "loss": 0.9241, + "step": 4753 + }, + { + "epoch": 0.11, + "grad_norm": 1.8053854573424832, + "learning_rate": 1.964951378191261e-05, + "loss": 1.0073, + "step": 4754 + }, + { + "epoch": 0.11, + "grad_norm": 1.865346800919814, + "learning_rate": 1.9649313509926022e-05, + "loss": 0.9199, + "step": 4755 + }, + { + "epoch": 0.11, + "grad_norm": 1.8149136953468006, + "learning_rate": 1.964911318175807e-05, + "loss": 0.9231, + "step": 4756 + }, + { + "epoch": 0.11, + "grad_norm": 1.7281433949975682, + "learning_rate": 1.964891279740993e-05, + "loss": 0.9828, + "step": 4757 + }, + { + "epoch": 0.11, + "grad_norm": 1.552810933198308, + "learning_rate": 1.9648712356882763e-05, + "loss": 0.8794, + "step": 4758 + }, + { + "epoch": 0.11, + "grad_norm": 1.5665676182166846, + "learning_rate": 1.9648511860177737e-05, + "loss": 1.0128, + "step": 4759 + }, + { + "epoch": 0.11, + "grad_norm": 1.9293406071309716, + "learning_rate": 1.964831130729602e-05, + "loss": 0.846, + "step": 4760 + }, + { + "epoch": 0.11, + "grad_norm": 1.5365520681838292, + "learning_rate": 1.9648110698238782e-05, + "loss": 0.9518, + "step": 4761 + }, + { + "epoch": 0.11, + "grad_norm": 1.524721967289196, + "learning_rate": 1.964791003300719e-05, + "loss": 0.8045, + "step": 4762 + }, + { + "epoch": 0.11, + "grad_norm": 1.5492449062270348, + "learning_rate": 1.9647709311602408e-05, + "loss": 0.8862, + "step": 4763 + }, + { + "epoch": 0.11, + "grad_norm": 1.4890783785770718, + "learning_rate": 1.964750853402561e-05, + "loss": 0.7901, + "step": 4764 + }, + { + "epoch": 0.11, + "grad_norm": 1.6253112449369371, + "learning_rate": 1.9647307700277963e-05, + "loss": 0.9908, + "step": 4765 + }, + { + "epoch": 0.11, + "grad_norm": 1.7633040305024763, + "learning_rate": 1.9647106810360636e-05, + "loss": 0.9066, + "step": 4766 + }, + { + "epoch": 0.11, + "grad_norm": 1.7788103957956356, + "learning_rate": 1.9646905864274798e-05, + "loss": 0.9791, + "step": 4767 + }, + { + "epoch": 0.11, + "grad_norm": 1.5866646519131886, + "learning_rate": 1.964670486202162e-05, + "loss": 0.9572, + "step": 4768 + }, + { + "epoch": 0.11, + "grad_norm": 1.6997208658752314, + "learning_rate": 1.9646503803602272e-05, + "loss": 1.1081, + "step": 4769 + }, + { + "epoch": 0.11, + "grad_norm": 1.8604274100388567, + "learning_rate": 1.9646302689017925e-05, + "loss": 0.922, + "step": 4770 + }, + { + "epoch": 0.11, + "grad_norm": 1.6692172059048922, + "learning_rate": 1.964610151826975e-05, + "loss": 0.965, + "step": 4771 + }, + { + "epoch": 0.11, + "grad_norm": 2.2904050673451315, + "learning_rate": 1.9645900291358918e-05, + "loss": 1.0152, + "step": 4772 + }, + { + "epoch": 0.11, + "grad_norm": 1.9943116355505888, + "learning_rate": 1.9645699008286602e-05, + "loss": 0.9537, + "step": 4773 + }, + { + "epoch": 0.11, + "grad_norm": 1.6741175200028608, + "learning_rate": 1.9645497669053973e-05, + "loss": 0.8381, + "step": 4774 + }, + { + "epoch": 0.11, + "grad_norm": 1.4570385213490238, + "learning_rate": 1.9645296273662202e-05, + "loss": 0.9764, + "step": 4775 + }, + { + "epoch": 0.11, + "grad_norm": 1.4979033458124844, + "learning_rate": 1.964509482211246e-05, + "loss": 0.7793, + "step": 4776 + }, + { + "epoch": 0.11, + "grad_norm": 1.8432118370083508, + "learning_rate": 1.9644893314405924e-05, + "loss": 0.9471, + "step": 4777 + }, + { + "epoch": 0.11, + "grad_norm": 2.1268206801903413, + "learning_rate": 1.964469175054377e-05, + "loss": 0.8928, + "step": 4778 + }, + { + "epoch": 0.11, + "grad_norm": 1.8883816904392552, + "learning_rate": 1.964449013052716e-05, + "loss": 0.7846, + "step": 4779 + }, + { + "epoch": 0.11, + "grad_norm": 1.5742330096071675, + "learning_rate": 1.964428845435728e-05, + "loss": 1.0763, + "step": 4780 + }, + { + "epoch": 0.11, + "grad_norm": 1.703179469332593, + "learning_rate": 1.9644086722035295e-05, + "loss": 0.8714, + "step": 4781 + }, + { + "epoch": 0.11, + "grad_norm": 1.829324912289471, + "learning_rate": 1.9643884933562387e-05, + "loss": 0.8655, + "step": 4782 + }, + { + "epoch": 0.11, + "grad_norm": 0.78214307091216, + "learning_rate": 1.9643683088939726e-05, + "loss": 0.7292, + "step": 4783 + }, + { + "epoch": 0.11, + "grad_norm": 1.8075614299565095, + "learning_rate": 1.9643481188168492e-05, + "loss": 0.8173, + "step": 4784 + }, + { + "epoch": 0.11, + "grad_norm": 0.819344164178443, + "learning_rate": 1.9643279231249855e-05, + "loss": 0.7488, + "step": 4785 + }, + { + "epoch": 0.11, + "grad_norm": 1.6885165428504978, + "learning_rate": 1.9643077218184993e-05, + "loss": 0.9092, + "step": 4786 + }, + { + "epoch": 0.11, + "grad_norm": 1.7463953389748992, + "learning_rate": 1.9642875148975084e-05, + "loss": 0.893, + "step": 4787 + }, + { + "epoch": 0.11, + "grad_norm": 1.644578251395674, + "learning_rate": 1.9642673023621303e-05, + "loss": 1.0691, + "step": 4788 + }, + { + "epoch": 0.11, + "grad_norm": 1.6548727999474007, + "learning_rate": 1.9642470842124823e-05, + "loss": 0.9652, + "step": 4789 + }, + { + "epoch": 0.11, + "grad_norm": 1.8607560134576544, + "learning_rate": 1.964226860448683e-05, + "loss": 0.82, + "step": 4790 + }, + { + "epoch": 0.11, + "grad_norm": 1.8858085488659238, + "learning_rate": 1.9642066310708493e-05, + "loss": 0.9533, + "step": 4791 + }, + { + "epoch": 0.11, + "grad_norm": 2.2017694166123523, + "learning_rate": 1.9641863960790998e-05, + "loss": 0.9, + "step": 4792 + }, + { + "epoch": 0.11, + "grad_norm": 1.8561617587142478, + "learning_rate": 1.9641661554735513e-05, + "loss": 0.9158, + "step": 4793 + }, + { + "epoch": 0.11, + "grad_norm": 3.236516687658466, + "learning_rate": 1.9641459092543224e-05, + "loss": 1.0422, + "step": 4794 + }, + { + "epoch": 0.11, + "grad_norm": 2.1543549701290083, + "learning_rate": 1.9641256574215308e-05, + "loss": 0.9138, + "step": 4795 + }, + { + "epoch": 0.11, + "grad_norm": 1.7877972415426155, + "learning_rate": 1.9641053999752942e-05, + "loss": 0.8493, + "step": 4796 + }, + { + "epoch": 0.11, + "grad_norm": 1.4518372900261847, + "learning_rate": 1.964085136915731e-05, + "loss": 0.9797, + "step": 4797 + }, + { + "epoch": 0.11, + "grad_norm": 1.7221894297697027, + "learning_rate": 1.964064868242959e-05, + "loss": 0.778, + "step": 4798 + }, + { + "epoch": 0.11, + "grad_norm": 1.527282490478921, + "learning_rate": 1.964044593957096e-05, + "loss": 0.8477, + "step": 4799 + }, + { + "epoch": 0.11, + "grad_norm": 1.845013973649404, + "learning_rate": 1.96402431405826e-05, + "loss": 0.9323, + "step": 4800 + }, + { + "epoch": 0.11, + "grad_norm": 2.7408019061110345, + "learning_rate": 1.9640040285465693e-05, + "loss": 0.9548, + "step": 4801 + }, + { + "epoch": 0.11, + "grad_norm": 1.7413234484296838, + "learning_rate": 1.963983737422142e-05, + "loss": 0.8028, + "step": 4802 + }, + { + "epoch": 0.11, + "grad_norm": 1.9448438576106115, + "learning_rate": 1.9639634406850962e-05, + "loss": 0.9069, + "step": 4803 + }, + { + "epoch": 0.11, + "grad_norm": 1.5059299114250544, + "learning_rate": 1.96394313833555e-05, + "loss": 0.8808, + "step": 4804 + }, + { + "epoch": 0.11, + "grad_norm": 1.8293924891421214, + "learning_rate": 1.9639228303736216e-05, + "loss": 0.9122, + "step": 4805 + }, + { + "epoch": 0.11, + "grad_norm": 1.7709950279653859, + "learning_rate": 1.9639025167994295e-05, + "loss": 0.8006, + "step": 4806 + }, + { + "epoch": 0.11, + "grad_norm": 1.6382759788062966, + "learning_rate": 1.9638821976130916e-05, + "loss": 0.9303, + "step": 4807 + }, + { + "epoch": 0.11, + "grad_norm": 1.6518604574909028, + "learning_rate": 1.9638618728147266e-05, + "loss": 0.7407, + "step": 4808 + }, + { + "epoch": 0.11, + "grad_norm": 1.8192152753011934, + "learning_rate": 1.9638415424044527e-05, + "loss": 0.8639, + "step": 4809 + }, + { + "epoch": 0.11, + "grad_norm": 1.753692069784189, + "learning_rate": 1.963821206382388e-05, + "loss": 0.9584, + "step": 4810 + }, + { + "epoch": 0.11, + "grad_norm": 1.83621098278794, + "learning_rate": 1.963800864748651e-05, + "loss": 0.7905, + "step": 4811 + }, + { + "epoch": 0.11, + "grad_norm": 1.765007708974011, + "learning_rate": 1.9637805175033603e-05, + "loss": 0.8896, + "step": 4812 + }, + { + "epoch": 0.11, + "grad_norm": 1.6994653596649132, + "learning_rate": 1.9637601646466343e-05, + "loss": 0.8003, + "step": 4813 + }, + { + "epoch": 0.11, + "grad_norm": 1.9466340406125464, + "learning_rate": 1.9637398061785914e-05, + "loss": 1.1192, + "step": 4814 + }, + { + "epoch": 0.11, + "grad_norm": 1.7355245839109903, + "learning_rate": 1.9637194420993504e-05, + "loss": 0.9974, + "step": 4815 + }, + { + "epoch": 0.11, + "grad_norm": 2.1342629017179817, + "learning_rate": 1.9636990724090297e-05, + "loss": 0.8775, + "step": 4816 + }, + { + "epoch": 0.11, + "grad_norm": 1.5709117649205009, + "learning_rate": 1.963678697107748e-05, + "loss": 1.0225, + "step": 4817 + }, + { + "epoch": 0.11, + "grad_norm": 0.8106285890644853, + "learning_rate": 1.9636583161956235e-05, + "loss": 0.7266, + "step": 4818 + }, + { + "epoch": 0.11, + "grad_norm": 3.4092760878911204, + "learning_rate": 1.9636379296727754e-05, + "loss": 0.8199, + "step": 4819 + }, + { + "epoch": 0.11, + "grad_norm": 1.6627993553234388, + "learning_rate": 1.9636175375393223e-05, + "loss": 0.9585, + "step": 4820 + }, + { + "epoch": 0.11, + "grad_norm": 1.4789278763772917, + "learning_rate": 1.9635971397953826e-05, + "loss": 0.8439, + "step": 4821 + }, + { + "epoch": 0.11, + "grad_norm": 1.9076581198039912, + "learning_rate": 1.963576736441075e-05, + "loss": 0.8617, + "step": 4822 + }, + { + "epoch": 0.11, + "grad_norm": 0.7818370569758283, + "learning_rate": 1.9635563274765194e-05, + "loss": 0.6731, + "step": 4823 + }, + { + "epoch": 0.11, + "grad_norm": 1.9429571880180199, + "learning_rate": 1.9635359129018334e-05, + "loss": 0.9211, + "step": 4824 + }, + { + "epoch": 0.11, + "grad_norm": 1.7362390833340628, + "learning_rate": 1.963515492717136e-05, + "loss": 0.8197, + "step": 4825 + }, + { + "epoch": 0.11, + "grad_norm": 2.1581835449741655, + "learning_rate": 1.9634950669225465e-05, + "loss": 0.9432, + "step": 4826 + }, + { + "epoch": 0.11, + "grad_norm": 2.191095092898845, + "learning_rate": 1.9634746355181836e-05, + "loss": 0.8918, + "step": 4827 + }, + { + "epoch": 0.11, + "grad_norm": 1.8892914143822186, + "learning_rate": 1.9634541985041667e-05, + "loss": 0.9161, + "step": 4828 + }, + { + "epoch": 0.11, + "grad_norm": 1.7182787128495924, + "learning_rate": 1.9634337558806142e-05, + "loss": 0.7708, + "step": 4829 + }, + { + "epoch": 0.11, + "grad_norm": 1.7948168288900224, + "learning_rate": 1.9634133076476453e-05, + "loss": 1.0412, + "step": 4830 + }, + { + "epoch": 0.11, + "grad_norm": 1.6347534471809408, + "learning_rate": 1.9633928538053792e-05, + "loss": 0.6887, + "step": 4831 + }, + { + "epoch": 0.11, + "grad_norm": 1.7611566326632628, + "learning_rate": 1.9633723943539352e-05, + "loss": 0.9322, + "step": 4832 + }, + { + "epoch": 0.11, + "grad_norm": 2.066668699288202, + "learning_rate": 1.9633519292934317e-05, + "loss": 0.9258, + "step": 4833 + }, + { + "epoch": 0.11, + "grad_norm": 1.623173442931025, + "learning_rate": 1.9633314586239884e-05, + "loss": 0.9271, + "step": 4834 + }, + { + "epoch": 0.11, + "grad_norm": 1.754686817884286, + "learning_rate": 1.9633109823457243e-05, + "loss": 0.9329, + "step": 4835 + }, + { + "epoch": 0.11, + "grad_norm": 1.6600696925079996, + "learning_rate": 1.9632905004587588e-05, + "loss": 0.8099, + "step": 4836 + }, + { + "epoch": 0.11, + "grad_norm": 2.1081805754775895, + "learning_rate": 1.963270012963211e-05, + "loss": 0.979, + "step": 4837 + }, + { + "epoch": 0.11, + "grad_norm": 1.75679177639708, + "learning_rate": 1.9632495198592003e-05, + "loss": 1.06, + "step": 4838 + }, + { + "epoch": 0.11, + "grad_norm": 1.5559453696235765, + "learning_rate": 1.9632290211468458e-05, + "loss": 1.02, + "step": 4839 + }, + { + "epoch": 0.11, + "grad_norm": 1.8940758835655906, + "learning_rate": 1.963208516826267e-05, + "loss": 0.951, + "step": 4840 + }, + { + "epoch": 0.11, + "grad_norm": 1.7673765056968462, + "learning_rate": 1.9631880068975834e-05, + "loss": 0.8838, + "step": 4841 + }, + { + "epoch": 0.11, + "grad_norm": 1.804913426940321, + "learning_rate": 1.9631674913609137e-05, + "loss": 0.9075, + "step": 4842 + }, + { + "epoch": 0.11, + "grad_norm": 2.18178018071669, + "learning_rate": 1.9631469702163786e-05, + "loss": 0.9142, + "step": 4843 + }, + { + "epoch": 0.11, + "grad_norm": 1.891465667229099, + "learning_rate": 1.9631264434640965e-05, + "loss": 0.8563, + "step": 4844 + }, + { + "epoch": 0.11, + "grad_norm": 2.0357299805282234, + "learning_rate": 1.9631059111041876e-05, + "loss": 1.0487, + "step": 4845 + }, + { + "epoch": 0.11, + "grad_norm": 0.8374853453776315, + "learning_rate": 1.9630853731367715e-05, + "loss": 0.775, + "step": 4846 + }, + { + "epoch": 0.11, + "grad_norm": 2.295355850438296, + "learning_rate": 1.9630648295619668e-05, + "loss": 0.7138, + "step": 4847 + }, + { + "epoch": 0.11, + "grad_norm": 1.7900288046673272, + "learning_rate": 1.963044280379894e-05, + "loss": 0.9813, + "step": 4848 + }, + { + "epoch": 0.11, + "grad_norm": 0.7753216747119256, + "learning_rate": 1.9630237255906724e-05, + "loss": 0.7881, + "step": 4849 + }, + { + "epoch": 0.11, + "grad_norm": 2.794571442114409, + "learning_rate": 1.963003165194422e-05, + "loss": 0.9631, + "step": 4850 + }, + { + "epoch": 0.11, + "grad_norm": 1.6162451280192824, + "learning_rate": 1.9629825991912622e-05, + "loss": 0.8851, + "step": 4851 + }, + { + "epoch": 0.11, + "grad_norm": 1.6817418183370156, + "learning_rate": 1.962962027581313e-05, + "loss": 0.9557, + "step": 4852 + }, + { + "epoch": 0.11, + "grad_norm": 2.334951613604829, + "learning_rate": 1.9629414503646936e-05, + "loss": 1.0138, + "step": 4853 + }, + { + "epoch": 0.11, + "grad_norm": 1.7461582948702157, + "learning_rate": 1.9629208675415246e-05, + "loss": 1.0595, + "step": 4854 + }, + { + "epoch": 0.11, + "grad_norm": 0.7263267311246827, + "learning_rate": 1.9629002791119252e-05, + "loss": 0.7009, + "step": 4855 + }, + { + "epoch": 0.11, + "grad_norm": 1.7911252090444212, + "learning_rate": 1.9628796850760156e-05, + "loss": 0.9969, + "step": 4856 + }, + { + "epoch": 0.11, + "grad_norm": 1.4356828939175268, + "learning_rate": 1.962859085433916e-05, + "loss": 0.8144, + "step": 4857 + }, + { + "epoch": 0.11, + "grad_norm": 1.7649684663243836, + "learning_rate": 1.9628384801857454e-05, + "loss": 0.9316, + "step": 4858 + }, + { + "epoch": 0.11, + "grad_norm": 1.72512594072494, + "learning_rate": 1.9628178693316243e-05, + "loss": 1.0281, + "step": 4859 + }, + { + "epoch": 0.11, + "grad_norm": 2.294067309040135, + "learning_rate": 1.962797252871673e-05, + "loss": 0.9852, + "step": 4860 + }, + { + "epoch": 0.11, + "grad_norm": 1.672451683443658, + "learning_rate": 1.9627766308060115e-05, + "loss": 0.8768, + "step": 4861 + }, + { + "epoch": 0.11, + "grad_norm": 1.6586274650078014, + "learning_rate": 1.9627560031347594e-05, + "loss": 0.9936, + "step": 4862 + }, + { + "epoch": 0.11, + "grad_norm": 1.8442636062485598, + "learning_rate": 1.962735369858037e-05, + "loss": 0.9132, + "step": 4863 + }, + { + "epoch": 0.11, + "grad_norm": 1.47260457214293, + "learning_rate": 1.9627147309759646e-05, + "loss": 0.9733, + "step": 4864 + }, + { + "epoch": 0.11, + "grad_norm": 1.7063881700015846, + "learning_rate": 1.9626940864886622e-05, + "loss": 0.8412, + "step": 4865 + }, + { + "epoch": 0.11, + "grad_norm": 2.582116679401087, + "learning_rate": 1.96267343639625e-05, + "loss": 0.8987, + "step": 4866 + }, + { + "epoch": 0.11, + "grad_norm": 1.7221878486178899, + "learning_rate": 1.9626527806988485e-05, + "loss": 1.0684, + "step": 4867 + }, + { + "epoch": 0.11, + "grad_norm": 1.6839184385899764, + "learning_rate": 1.9626321193965774e-05, + "loss": 0.9172, + "step": 4868 + }, + { + "epoch": 0.11, + "grad_norm": 2.0702863692150544, + "learning_rate": 1.9626114524895574e-05, + "loss": 0.8367, + "step": 4869 + }, + { + "epoch": 0.11, + "grad_norm": 1.544500719615065, + "learning_rate": 1.962590779977909e-05, + "loss": 1.022, + "step": 4870 + }, + { + "epoch": 0.11, + "grad_norm": 1.5613475736164761, + "learning_rate": 1.9625701018617524e-05, + "loss": 0.9297, + "step": 4871 + }, + { + "epoch": 0.11, + "grad_norm": 2.0601323427021554, + "learning_rate": 1.9625494181412076e-05, + "loss": 0.9931, + "step": 4872 + }, + { + "epoch": 0.11, + "grad_norm": 2.0762891527697316, + "learning_rate": 1.9625287288163954e-05, + "loss": 0.8938, + "step": 4873 + }, + { + "epoch": 0.11, + "grad_norm": 2.0841372251709447, + "learning_rate": 1.9625080338874363e-05, + "loss": 0.9146, + "step": 4874 + }, + { + "epoch": 0.11, + "grad_norm": 1.6454980352575366, + "learning_rate": 1.9624873333544507e-05, + "loss": 0.9509, + "step": 4875 + }, + { + "epoch": 0.11, + "grad_norm": 1.6644955205325864, + "learning_rate": 1.9624666272175588e-05, + "loss": 0.931, + "step": 4876 + }, + { + "epoch": 0.11, + "grad_norm": 1.6835467097651493, + "learning_rate": 1.962445915476882e-05, + "loss": 0.8409, + "step": 4877 + }, + { + "epoch": 0.11, + "grad_norm": 1.6303969024640186, + "learning_rate": 1.9624251981325403e-05, + "loss": 1.0364, + "step": 4878 + }, + { + "epoch": 0.11, + "grad_norm": 6.688751826071363, + "learning_rate": 1.9624044751846543e-05, + "loss": 0.7934, + "step": 4879 + }, + { + "epoch": 0.11, + "grad_norm": 1.7631717216070346, + "learning_rate": 1.9623837466333445e-05, + "loss": 0.7729, + "step": 4880 + }, + { + "epoch": 0.11, + "grad_norm": 2.0463354250605796, + "learning_rate": 1.962363012478732e-05, + "loss": 0.8859, + "step": 4881 + }, + { + "epoch": 0.12, + "grad_norm": 1.6994047228772506, + "learning_rate": 1.9623422727209376e-05, + "loss": 0.9105, + "step": 4882 + }, + { + "epoch": 0.12, + "grad_norm": 1.5971051298956351, + "learning_rate": 1.9623215273600817e-05, + "loss": 1.0603, + "step": 4883 + }, + { + "epoch": 0.12, + "grad_norm": 1.568113049890623, + "learning_rate": 1.962300776396285e-05, + "loss": 0.8627, + "step": 4884 + }, + { + "epoch": 0.12, + "grad_norm": 1.8971384828704345, + "learning_rate": 1.9622800198296686e-05, + "loss": 0.9211, + "step": 4885 + }, + { + "epoch": 0.12, + "grad_norm": 1.7311329447896775, + "learning_rate": 1.9622592576603536e-05, + "loss": 0.8734, + "step": 4886 + }, + { + "epoch": 0.12, + "grad_norm": 1.7897670944769688, + "learning_rate": 1.96223848988846e-05, + "loss": 0.9563, + "step": 4887 + }, + { + "epoch": 0.12, + "grad_norm": 0.7616961546902798, + "learning_rate": 1.9622177165141098e-05, + "loss": 0.7127, + "step": 4888 + }, + { + "epoch": 0.12, + "grad_norm": 1.6149921987590823, + "learning_rate": 1.962196937537423e-05, + "loss": 0.9856, + "step": 4889 + }, + { + "epoch": 0.12, + "grad_norm": 1.676035262184356, + "learning_rate": 1.962176152958521e-05, + "loss": 0.8839, + "step": 4890 + }, + { + "epoch": 0.12, + "grad_norm": 1.7125231266118859, + "learning_rate": 1.962155362777525e-05, + "loss": 0.8483, + "step": 4891 + }, + { + "epoch": 0.12, + "grad_norm": 1.7916738934752208, + "learning_rate": 1.9621345669945562e-05, + "loss": 0.9544, + "step": 4892 + }, + { + "epoch": 0.12, + "grad_norm": 2.0283194355051335, + "learning_rate": 1.9621137656097347e-05, + "loss": 0.981, + "step": 4893 + }, + { + "epoch": 0.12, + "grad_norm": 1.7413658803517196, + "learning_rate": 1.9620929586231828e-05, + "loss": 0.9867, + "step": 4894 + }, + { + "epoch": 0.12, + "grad_norm": 1.624862754240939, + "learning_rate": 1.9620721460350207e-05, + "loss": 0.9447, + "step": 4895 + }, + { + "epoch": 0.12, + "grad_norm": 1.602339965951357, + "learning_rate": 1.9620513278453704e-05, + "loss": 1.0228, + "step": 4896 + }, + { + "epoch": 0.12, + "grad_norm": 1.938651194366426, + "learning_rate": 1.9620305040543523e-05, + "loss": 0.9623, + "step": 4897 + }, + { + "epoch": 0.12, + "grad_norm": 1.6689269947307346, + "learning_rate": 1.9620096746620882e-05, + "loss": 0.8369, + "step": 4898 + }, + { + "epoch": 0.12, + "grad_norm": 1.6800462550871125, + "learning_rate": 1.9619888396686992e-05, + "loss": 0.9422, + "step": 4899 + }, + { + "epoch": 0.12, + "grad_norm": 1.7000466431317103, + "learning_rate": 1.9619679990743065e-05, + "loss": 0.894, + "step": 4900 + }, + { + "epoch": 0.12, + "grad_norm": 1.5987012652030397, + "learning_rate": 1.9619471528790317e-05, + "loss": 0.8707, + "step": 4901 + }, + { + "epoch": 0.12, + "grad_norm": 1.8052248866353242, + "learning_rate": 1.961926301082996e-05, + "loss": 0.8461, + "step": 4902 + }, + { + "epoch": 0.12, + "grad_norm": 1.9334389171537634, + "learning_rate": 1.9619054436863206e-05, + "loss": 0.837, + "step": 4903 + }, + { + "epoch": 0.12, + "grad_norm": 0.8113945606259549, + "learning_rate": 1.9618845806891276e-05, + "loss": 0.7627, + "step": 4904 + }, + { + "epoch": 0.12, + "grad_norm": 1.7728990122473955, + "learning_rate": 1.9618637120915376e-05, + "loss": 1.0191, + "step": 4905 + }, + { + "epoch": 0.12, + "grad_norm": 1.736615370904323, + "learning_rate": 1.9618428378936728e-05, + "loss": 0.9905, + "step": 4906 + }, + { + "epoch": 0.12, + "grad_norm": 1.465086173660602, + "learning_rate": 1.9618219580956544e-05, + "loss": 0.876, + "step": 4907 + }, + { + "epoch": 0.12, + "grad_norm": 1.6008287966928012, + "learning_rate": 1.9618010726976044e-05, + "loss": 0.9519, + "step": 4908 + }, + { + "epoch": 0.12, + "grad_norm": 2.9528481250125753, + "learning_rate": 1.9617801816996437e-05, + "loss": 0.9198, + "step": 4909 + }, + { + "epoch": 0.12, + "grad_norm": 1.534500992339961, + "learning_rate": 1.961759285101894e-05, + "loss": 0.8473, + "step": 4910 + }, + { + "epoch": 0.12, + "grad_norm": 2.790319153594747, + "learning_rate": 1.961738382904478e-05, + "loss": 0.897, + "step": 4911 + }, + { + "epoch": 0.12, + "grad_norm": 1.5659040633911376, + "learning_rate": 1.961717475107516e-05, + "loss": 0.9777, + "step": 4912 + }, + { + "epoch": 0.12, + "grad_norm": 1.7325479358835976, + "learning_rate": 1.9616965617111305e-05, + "loss": 0.9339, + "step": 4913 + }, + { + "epoch": 0.12, + "grad_norm": 1.9069727714381322, + "learning_rate": 1.9616756427154434e-05, + "loss": 1.0416, + "step": 4914 + }, + { + "epoch": 0.12, + "grad_norm": 2.0589867367374244, + "learning_rate": 1.961654718120576e-05, + "loss": 0.9201, + "step": 4915 + }, + { + "epoch": 0.12, + "grad_norm": 1.6448321476887466, + "learning_rate": 1.9616337879266507e-05, + "loss": 0.8651, + "step": 4916 + }, + { + "epoch": 0.12, + "grad_norm": 0.7919375162475317, + "learning_rate": 1.9616128521337886e-05, + "loss": 0.7308, + "step": 4917 + }, + { + "epoch": 0.12, + "grad_norm": 1.54082516146962, + "learning_rate": 1.9615919107421123e-05, + "loss": 0.8339, + "step": 4918 + }, + { + "epoch": 0.12, + "grad_norm": 0.7911666436947717, + "learning_rate": 1.9615709637517437e-05, + "loss": 0.8402, + "step": 4919 + }, + { + "epoch": 0.12, + "grad_norm": 1.6262265975403205, + "learning_rate": 1.961550011162804e-05, + "loss": 0.8895, + "step": 4920 + }, + { + "epoch": 0.12, + "grad_norm": 1.5014379193636638, + "learning_rate": 1.9615290529754162e-05, + "loss": 0.9882, + "step": 4921 + }, + { + "epoch": 0.12, + "grad_norm": 1.7764186801205197, + "learning_rate": 1.961508089189702e-05, + "loss": 1.0499, + "step": 4922 + }, + { + "epoch": 0.12, + "grad_norm": 1.6429208477752433, + "learning_rate": 1.9614871198057826e-05, + "loss": 1.0219, + "step": 4923 + }, + { + "epoch": 0.12, + "grad_norm": 2.1019289416160123, + "learning_rate": 1.961466144823781e-05, + "loss": 0.9165, + "step": 4924 + }, + { + "epoch": 0.12, + "grad_norm": 1.4525200946858678, + "learning_rate": 1.9614451642438193e-05, + "loss": 0.7576, + "step": 4925 + }, + { + "epoch": 0.12, + "grad_norm": 1.6931774347660948, + "learning_rate": 1.9614241780660196e-05, + "loss": 1.0538, + "step": 4926 + }, + { + "epoch": 0.12, + "grad_norm": 1.7972628153234596, + "learning_rate": 1.9614031862905034e-05, + "loss": 0.9639, + "step": 4927 + }, + { + "epoch": 0.12, + "grad_norm": 1.6865910916945217, + "learning_rate": 1.961382188917394e-05, + "loss": 1.0024, + "step": 4928 + }, + { + "epoch": 0.12, + "grad_norm": 2.067282967916779, + "learning_rate": 1.9613611859468128e-05, + "loss": 1.0402, + "step": 4929 + }, + { + "epoch": 0.12, + "grad_norm": 0.8279532334408607, + "learning_rate": 1.9613401773788826e-05, + "loss": 0.7528, + "step": 4930 + }, + { + "epoch": 0.12, + "grad_norm": 1.4979884416280709, + "learning_rate": 1.9613191632137256e-05, + "loss": 1.0526, + "step": 4931 + }, + { + "epoch": 0.12, + "grad_norm": 3.9058794072012124, + "learning_rate": 1.961298143451464e-05, + "loss": 0.812, + "step": 4932 + }, + { + "epoch": 0.12, + "grad_norm": 1.5861547897758872, + "learning_rate": 1.9612771180922203e-05, + "loss": 1.0009, + "step": 4933 + }, + { + "epoch": 0.12, + "grad_norm": 2.654771119686301, + "learning_rate": 1.9612560871361163e-05, + "loss": 0.9927, + "step": 4934 + }, + { + "epoch": 0.12, + "grad_norm": 0.7824441923896408, + "learning_rate": 1.9612350505832757e-05, + "loss": 0.7387, + "step": 4935 + }, + { + "epoch": 0.12, + "grad_norm": 1.7737117175711112, + "learning_rate": 1.9612140084338204e-05, + "loss": 0.915, + "step": 4936 + }, + { + "epoch": 0.12, + "grad_norm": 0.7865037344198362, + "learning_rate": 1.9611929606878724e-05, + "loss": 0.6592, + "step": 4937 + }, + { + "epoch": 0.12, + "grad_norm": 1.8035326200838204, + "learning_rate": 1.9611719073455547e-05, + "loss": 0.9243, + "step": 4938 + }, + { + "epoch": 0.12, + "grad_norm": 1.6753596329169722, + "learning_rate": 1.9611508484069902e-05, + "loss": 0.9512, + "step": 4939 + }, + { + "epoch": 0.12, + "grad_norm": 1.87288528622405, + "learning_rate": 1.961129783872301e-05, + "loss": 0.9907, + "step": 4940 + }, + { + "epoch": 0.12, + "grad_norm": 1.5581286271584933, + "learning_rate": 1.9611087137416097e-05, + "loss": 0.8803, + "step": 4941 + }, + { + "epoch": 0.12, + "grad_norm": 1.707373994691376, + "learning_rate": 1.9610876380150396e-05, + "loss": 0.8167, + "step": 4942 + }, + { + "epoch": 0.12, + "grad_norm": 1.9715262102089315, + "learning_rate": 1.9610665566927127e-05, + "loss": 1.0806, + "step": 4943 + }, + { + "epoch": 0.12, + "grad_norm": 1.743335069855392, + "learning_rate": 1.961045469774752e-05, + "loss": 0.8718, + "step": 4944 + }, + { + "epoch": 0.12, + "grad_norm": 1.993775511739409, + "learning_rate": 1.9610243772612804e-05, + "loss": 0.8643, + "step": 4945 + }, + { + "epoch": 0.12, + "grad_norm": 1.9751040717328423, + "learning_rate": 1.9610032791524206e-05, + "loss": 0.8471, + "step": 4946 + }, + { + "epoch": 0.12, + "grad_norm": 1.5370690698410687, + "learning_rate": 1.9609821754482957e-05, + "loss": 0.9389, + "step": 4947 + }, + { + "epoch": 0.12, + "grad_norm": 1.514341116478535, + "learning_rate": 1.960961066149028e-05, + "loss": 1.0106, + "step": 4948 + }, + { + "epoch": 0.12, + "grad_norm": 1.6027220719439597, + "learning_rate": 1.960939951254741e-05, + "loss": 0.8776, + "step": 4949 + }, + { + "epoch": 0.12, + "grad_norm": 1.6152805807678674, + "learning_rate": 1.9609188307655572e-05, + "loss": 0.8938, + "step": 4950 + }, + { + "epoch": 0.12, + "grad_norm": 0.8882824212396717, + "learning_rate": 1.9608977046815997e-05, + "loss": 0.7789, + "step": 4951 + }, + { + "epoch": 0.12, + "grad_norm": 1.7965565917647324, + "learning_rate": 1.9608765730029917e-05, + "loss": 1.014, + "step": 4952 + }, + { + "epoch": 0.12, + "grad_norm": 1.7025548848196121, + "learning_rate": 1.960855435729856e-05, + "loss": 0.9608, + "step": 4953 + }, + { + "epoch": 0.12, + "grad_norm": 1.9160120604748772, + "learning_rate": 1.9608342928623157e-05, + "loss": 0.793, + "step": 4954 + }, + { + "epoch": 0.12, + "grad_norm": 2.067374013926294, + "learning_rate": 1.960813144400494e-05, + "loss": 0.9061, + "step": 4955 + }, + { + "epoch": 0.12, + "grad_norm": 1.8556940797868167, + "learning_rate": 1.960791990344514e-05, + "loss": 0.9951, + "step": 4956 + }, + { + "epoch": 0.12, + "grad_norm": 1.7653486635554705, + "learning_rate": 1.960770830694499e-05, + "loss": 0.9351, + "step": 4957 + }, + { + "epoch": 0.12, + "grad_norm": 2.3516068294352257, + "learning_rate": 1.960749665450572e-05, + "loss": 0.9322, + "step": 4958 + }, + { + "epoch": 0.12, + "grad_norm": 2.135953620328196, + "learning_rate": 1.9607284946128562e-05, + "loss": 1.0038, + "step": 4959 + }, + { + "epoch": 0.12, + "grad_norm": 1.6687426307463102, + "learning_rate": 1.9607073181814748e-05, + "loss": 0.9868, + "step": 4960 + }, + { + "epoch": 0.12, + "grad_norm": 1.825967476524879, + "learning_rate": 1.9606861361565514e-05, + "loss": 0.8761, + "step": 4961 + }, + { + "epoch": 0.12, + "grad_norm": 2.0401559872129553, + "learning_rate": 1.960664948538209e-05, + "loss": 0.9701, + "step": 4962 + }, + { + "epoch": 0.12, + "grad_norm": 1.7121990684418924, + "learning_rate": 1.9606437553265713e-05, + "loss": 0.9377, + "step": 4963 + }, + { + "epoch": 0.12, + "grad_norm": 2.0634451926585835, + "learning_rate": 1.9606225565217615e-05, + "loss": 0.7706, + "step": 4964 + }, + { + "epoch": 0.12, + "grad_norm": 1.913641175328537, + "learning_rate": 1.960601352123903e-05, + "loss": 0.8874, + "step": 4965 + }, + { + "epoch": 0.12, + "grad_norm": 1.7634252030696285, + "learning_rate": 1.9605801421331194e-05, + "loss": 0.8918, + "step": 4966 + }, + { + "epoch": 0.12, + "grad_norm": 2.0885613373129615, + "learning_rate": 1.960558926549534e-05, + "loss": 0.8348, + "step": 4967 + }, + { + "epoch": 0.12, + "grad_norm": 1.5680716312311538, + "learning_rate": 1.9605377053732705e-05, + "loss": 1.0215, + "step": 4968 + }, + { + "epoch": 0.12, + "grad_norm": 3.6488381575336453, + "learning_rate": 1.9605164786044523e-05, + "loss": 0.8916, + "step": 4969 + }, + { + "epoch": 0.12, + "grad_norm": 2.060953451065899, + "learning_rate": 1.9604952462432032e-05, + "loss": 0.8242, + "step": 4970 + }, + { + "epoch": 0.12, + "grad_norm": 1.8394324503273634, + "learning_rate": 1.9604740082896467e-05, + "loss": 0.8597, + "step": 4971 + }, + { + "epoch": 0.12, + "grad_norm": 0.8076000853805468, + "learning_rate": 1.960452764743906e-05, + "loss": 0.7552, + "step": 4972 + }, + { + "epoch": 0.12, + "grad_norm": 2.5231863703444066, + "learning_rate": 1.960431515606106e-05, + "loss": 0.9653, + "step": 4973 + }, + { + "epoch": 0.12, + "grad_norm": 1.6094946064892204, + "learning_rate": 1.960410260876369e-05, + "loss": 0.99, + "step": 4974 + }, + { + "epoch": 0.12, + "grad_norm": 1.5087318978622064, + "learning_rate": 1.9603890005548198e-05, + "loss": 0.9688, + "step": 4975 + }, + { + "epoch": 0.12, + "grad_norm": 3.7563029623791104, + "learning_rate": 1.9603677346415815e-05, + "loss": 0.887, + "step": 4976 + }, + { + "epoch": 0.12, + "grad_norm": 2.2610933002084614, + "learning_rate": 1.9603464631367782e-05, + "loss": 0.8877, + "step": 4977 + }, + { + "epoch": 0.12, + "grad_norm": 1.7851776157081112, + "learning_rate": 1.960325186040534e-05, + "loss": 1.0196, + "step": 4978 + }, + { + "epoch": 0.12, + "grad_norm": 1.6241782734521466, + "learning_rate": 1.9603039033529723e-05, + "loss": 0.9786, + "step": 4979 + }, + { + "epoch": 0.12, + "grad_norm": 2.018984836216597, + "learning_rate": 1.9602826150742174e-05, + "loss": 0.8456, + "step": 4980 + }, + { + "epoch": 0.12, + "grad_norm": 3.788059082154867, + "learning_rate": 1.960261321204393e-05, + "loss": 1.0225, + "step": 4981 + }, + { + "epoch": 0.12, + "grad_norm": 1.9263892128579505, + "learning_rate": 1.960240021743623e-05, + "loss": 1.0318, + "step": 4982 + }, + { + "epoch": 0.12, + "grad_norm": 2.8054324759928715, + "learning_rate": 1.960218716692032e-05, + "loss": 0.871, + "step": 4983 + }, + { + "epoch": 0.12, + "grad_norm": 1.91899355185884, + "learning_rate": 1.9601974060497433e-05, + "loss": 0.931, + "step": 4984 + }, + { + "epoch": 0.12, + "grad_norm": 1.783052756771213, + "learning_rate": 1.9601760898168814e-05, + "loss": 0.873, + "step": 4985 + }, + { + "epoch": 0.12, + "grad_norm": 1.5777686904397321, + "learning_rate": 1.9601547679935706e-05, + "loss": 0.9024, + "step": 4986 + }, + { + "epoch": 0.12, + "grad_norm": 3.412240705643697, + "learning_rate": 1.9601334405799344e-05, + "loss": 1.0099, + "step": 4987 + }, + { + "epoch": 0.12, + "grad_norm": 1.7730769689472243, + "learning_rate": 1.9601121075760977e-05, + "loss": 0.9401, + "step": 4988 + }, + { + "epoch": 0.12, + "grad_norm": 1.6885179897709413, + "learning_rate": 1.960090768982184e-05, + "loss": 0.914, + "step": 4989 + }, + { + "epoch": 0.12, + "grad_norm": 2.0666037217947215, + "learning_rate": 1.960069424798318e-05, + "loss": 0.8011, + "step": 4990 + }, + { + "epoch": 0.12, + "grad_norm": 1.746150811614304, + "learning_rate": 1.9600480750246235e-05, + "loss": 0.8855, + "step": 4991 + }, + { + "epoch": 0.12, + "grad_norm": 1.68598956848924, + "learning_rate": 1.9600267196612253e-05, + "loss": 0.8638, + "step": 4992 + }, + { + "epoch": 0.12, + "grad_norm": 0.8175665156435944, + "learning_rate": 1.960005358708248e-05, + "loss": 0.7633, + "step": 4993 + }, + { + "epoch": 0.12, + "grad_norm": 1.7739679279926321, + "learning_rate": 1.9599839921658154e-05, + "loss": 0.9235, + "step": 4994 + }, + { + "epoch": 0.12, + "grad_norm": 2.260164133691529, + "learning_rate": 1.9599626200340523e-05, + "loss": 0.9181, + "step": 4995 + }, + { + "epoch": 0.12, + "grad_norm": 3.6288679120290155, + "learning_rate": 1.9599412423130823e-05, + "loss": 0.9833, + "step": 4996 + }, + { + "epoch": 0.12, + "grad_norm": 1.9332120249616445, + "learning_rate": 1.9599198590030308e-05, + "loss": 0.911, + "step": 4997 + }, + { + "epoch": 0.12, + "grad_norm": 0.8462524094222208, + "learning_rate": 1.959898470104022e-05, + "loss": 0.7217, + "step": 4998 + }, + { + "epoch": 0.12, + "grad_norm": 1.7171412468296556, + "learning_rate": 1.9598770756161807e-05, + "loss": 1.0875, + "step": 4999 + }, + { + "epoch": 0.12, + "grad_norm": 1.829939473905139, + "learning_rate": 1.9598556755396307e-05, + "loss": 0.9167, + "step": 5000 + }, + { + "epoch": 0.12, + "grad_norm": 1.948637647546077, + "learning_rate": 1.9598342698744973e-05, + "loss": 0.9199, + "step": 5001 + }, + { + "epoch": 0.12, + "grad_norm": 1.7003925028266602, + "learning_rate": 1.9598128586209047e-05, + "loss": 0.9228, + "step": 5002 + }, + { + "epoch": 0.12, + "grad_norm": 2.15722641161309, + "learning_rate": 1.959791441778978e-05, + "loss": 1.0442, + "step": 5003 + }, + { + "epoch": 0.12, + "grad_norm": 1.8060194232082312, + "learning_rate": 1.9597700193488418e-05, + "loss": 0.8192, + "step": 5004 + }, + { + "epoch": 0.12, + "grad_norm": 1.4751819574392537, + "learning_rate": 1.9597485913306203e-05, + "loss": 0.9053, + "step": 5005 + }, + { + "epoch": 0.12, + "grad_norm": 1.794575258537518, + "learning_rate": 1.959727157724439e-05, + "loss": 0.9785, + "step": 5006 + }, + { + "epoch": 0.12, + "grad_norm": 1.6415165167018966, + "learning_rate": 1.959705718530422e-05, + "loss": 0.9325, + "step": 5007 + }, + { + "epoch": 0.12, + "grad_norm": 2.371514521764121, + "learning_rate": 1.9596842737486945e-05, + "loss": 1.0153, + "step": 5008 + }, + { + "epoch": 0.12, + "grad_norm": 1.4831843154522413, + "learning_rate": 1.9596628233793814e-05, + "loss": 0.9794, + "step": 5009 + }, + { + "epoch": 0.12, + "grad_norm": 1.5961765322600494, + "learning_rate": 1.9596413674226076e-05, + "loss": 0.9133, + "step": 5010 + }, + { + "epoch": 0.12, + "grad_norm": 1.6142853849116487, + "learning_rate": 1.959619905878498e-05, + "loss": 0.9327, + "step": 5011 + }, + { + "epoch": 0.12, + "grad_norm": 2.161780938530338, + "learning_rate": 1.9595984387471772e-05, + "loss": 0.8099, + "step": 5012 + }, + { + "epoch": 0.12, + "grad_norm": 2.000766348187498, + "learning_rate": 1.959576966028771e-05, + "loss": 0.8992, + "step": 5013 + }, + { + "epoch": 0.12, + "grad_norm": 0.8116388444000193, + "learning_rate": 1.9595554877234036e-05, + "loss": 0.7998, + "step": 5014 + }, + { + "epoch": 0.12, + "grad_norm": 1.715593958158269, + "learning_rate": 1.9595340038312e-05, + "loss": 0.9308, + "step": 5015 + }, + { + "epoch": 0.12, + "grad_norm": 1.613310859237584, + "learning_rate": 1.959512514352286e-05, + "loss": 0.9722, + "step": 5016 + }, + { + "epoch": 0.12, + "grad_norm": 1.7300429636211767, + "learning_rate": 1.9594910192867866e-05, + "loss": 0.8723, + "step": 5017 + }, + { + "epoch": 0.12, + "grad_norm": 2.2861680271417724, + "learning_rate": 1.9594695186348265e-05, + "loss": 0.9093, + "step": 5018 + }, + { + "epoch": 0.12, + "grad_norm": 2.0728534439116433, + "learning_rate": 1.959448012396531e-05, + "loss": 0.8983, + "step": 5019 + }, + { + "epoch": 0.12, + "grad_norm": 1.7090726912532728, + "learning_rate": 1.9594265005720255e-05, + "loss": 0.9557, + "step": 5020 + }, + { + "epoch": 0.12, + "grad_norm": 1.5914354302872673, + "learning_rate": 1.9594049831614352e-05, + "loss": 1.0015, + "step": 5021 + }, + { + "epoch": 0.12, + "grad_norm": 0.8527819842065836, + "learning_rate": 1.9593834601648853e-05, + "loss": 0.7051, + "step": 5022 + }, + { + "epoch": 0.12, + "grad_norm": 1.5889035110052505, + "learning_rate": 1.9593619315825013e-05, + "loss": 0.9654, + "step": 5023 + }, + { + "epoch": 0.12, + "grad_norm": 2.278095840492453, + "learning_rate": 1.9593403974144084e-05, + "loss": 0.94, + "step": 5024 + }, + { + "epoch": 0.12, + "grad_norm": 0.789716699959214, + "learning_rate": 1.9593188576607316e-05, + "loss": 0.7518, + "step": 5025 + }, + { + "epoch": 0.12, + "grad_norm": 2.1194107425445896, + "learning_rate": 1.959297312321597e-05, + "loss": 0.937, + "step": 5026 + }, + { + "epoch": 0.12, + "grad_norm": 1.956614556694495, + "learning_rate": 1.95927576139713e-05, + "loss": 0.8124, + "step": 5027 + }, + { + "epoch": 0.12, + "grad_norm": 2.0984608192867493, + "learning_rate": 1.959254204887455e-05, + "loss": 0.8863, + "step": 5028 + }, + { + "epoch": 0.12, + "grad_norm": 1.9222032853092381, + "learning_rate": 1.959232642792699e-05, + "loss": 0.9265, + "step": 5029 + }, + { + "epoch": 0.12, + "grad_norm": 1.931277395143879, + "learning_rate": 1.959211075112987e-05, + "loss": 0.8899, + "step": 5030 + }, + { + "epoch": 0.12, + "grad_norm": 2.082483587047054, + "learning_rate": 1.959189501848444e-05, + "loss": 0.9523, + "step": 5031 + }, + { + "epoch": 0.12, + "grad_norm": 1.5036853081483248, + "learning_rate": 1.9591679229991963e-05, + "loss": 0.9172, + "step": 5032 + }, + { + "epoch": 0.12, + "grad_norm": 1.8132692503498706, + "learning_rate": 1.959146338565369e-05, + "loss": 0.9907, + "step": 5033 + }, + { + "epoch": 0.12, + "grad_norm": 1.7780079024503823, + "learning_rate": 1.959124748547088e-05, + "loss": 0.9312, + "step": 5034 + }, + { + "epoch": 0.12, + "grad_norm": 2.306924242145549, + "learning_rate": 1.9591031529444795e-05, + "loss": 0.9365, + "step": 5035 + }, + { + "epoch": 0.12, + "grad_norm": 1.6241590057243658, + "learning_rate": 1.9590815517576684e-05, + "loss": 0.9862, + "step": 5036 + }, + { + "epoch": 0.12, + "grad_norm": 2.047579725931465, + "learning_rate": 1.9590599449867813e-05, + "loss": 0.9574, + "step": 5037 + }, + { + "epoch": 0.12, + "grad_norm": 0.8157943419190906, + "learning_rate": 1.959038332631943e-05, + "loss": 0.778, + "step": 5038 + }, + { + "epoch": 0.12, + "grad_norm": 2.3504106988467877, + "learning_rate": 1.9590167146932804e-05, + "loss": 0.9711, + "step": 5039 + }, + { + "epoch": 0.12, + "grad_norm": 1.5281593385752938, + "learning_rate": 1.958995091170919e-05, + "loss": 0.8202, + "step": 5040 + }, + { + "epoch": 0.12, + "grad_norm": 1.6365132501929642, + "learning_rate": 1.958973462064984e-05, + "loss": 0.855, + "step": 5041 + }, + { + "epoch": 0.12, + "grad_norm": 1.719939225442151, + "learning_rate": 1.9589518273756023e-05, + "loss": 0.9892, + "step": 5042 + }, + { + "epoch": 0.12, + "grad_norm": 1.6809333813062157, + "learning_rate": 1.9589301871028993e-05, + "loss": 0.81, + "step": 5043 + }, + { + "epoch": 0.12, + "grad_norm": 1.8670996533281619, + "learning_rate": 1.958908541247001e-05, + "loss": 0.9077, + "step": 5044 + }, + { + "epoch": 0.12, + "grad_norm": 2.25215504013579, + "learning_rate": 1.9588868898080337e-05, + "loss": 0.9628, + "step": 5045 + }, + { + "epoch": 0.12, + "grad_norm": 1.5626918302066801, + "learning_rate": 1.9588652327861236e-05, + "loss": 0.9574, + "step": 5046 + }, + { + "epoch": 0.12, + "grad_norm": 1.6598552146575227, + "learning_rate": 1.9588435701813962e-05, + "loss": 0.8789, + "step": 5047 + }, + { + "epoch": 0.12, + "grad_norm": 3.0000851905528134, + "learning_rate": 1.958821901993978e-05, + "loss": 0.8747, + "step": 5048 + }, + { + "epoch": 0.12, + "grad_norm": 1.5733792148492982, + "learning_rate": 1.9588002282239955e-05, + "loss": 0.8359, + "step": 5049 + }, + { + "epoch": 0.12, + "grad_norm": 0.8608390961728716, + "learning_rate": 1.9587785488715742e-05, + "loss": 0.7767, + "step": 5050 + }, + { + "epoch": 0.12, + "grad_norm": 1.7224954080749706, + "learning_rate": 1.9587568639368405e-05, + "loss": 0.9414, + "step": 5051 + }, + { + "epoch": 0.12, + "grad_norm": 1.6406309088496966, + "learning_rate": 1.958735173419921e-05, + "loss": 1.0214, + "step": 5052 + }, + { + "epoch": 0.12, + "grad_norm": 1.7264010712589628, + "learning_rate": 1.958713477320942e-05, + "loss": 0.9351, + "step": 5053 + }, + { + "epoch": 0.12, + "grad_norm": 1.6395860633898593, + "learning_rate": 1.9586917756400293e-05, + "loss": 0.8807, + "step": 5054 + }, + { + "epoch": 0.12, + "grad_norm": 1.8781790689721047, + "learning_rate": 1.95867006837731e-05, + "loss": 0.8846, + "step": 5055 + }, + { + "epoch": 0.12, + "grad_norm": 2.7452021288690114, + "learning_rate": 1.9586483555329098e-05, + "loss": 0.9025, + "step": 5056 + }, + { + "epoch": 0.12, + "grad_norm": 1.8306491727018934, + "learning_rate": 1.958626637106955e-05, + "loss": 0.8976, + "step": 5057 + }, + { + "epoch": 0.12, + "grad_norm": 0.7942664195686245, + "learning_rate": 1.9586049130995728e-05, + "loss": 0.7734, + "step": 5058 + }, + { + "epoch": 0.12, + "grad_norm": 1.5112430945209494, + "learning_rate": 1.958583183510889e-05, + "loss": 1.0556, + "step": 5059 + }, + { + "epoch": 0.12, + "grad_norm": 1.589601612038538, + "learning_rate": 1.9585614483410308e-05, + "loss": 0.8776, + "step": 5060 + }, + { + "epoch": 0.12, + "grad_norm": 2.3862318547435866, + "learning_rate": 1.9585397075901242e-05, + "loss": 0.9749, + "step": 5061 + }, + { + "epoch": 0.12, + "grad_norm": 1.7270279451727113, + "learning_rate": 1.958517961258296e-05, + "loss": 1.0432, + "step": 5062 + }, + { + "epoch": 0.12, + "grad_norm": 1.5519025849036834, + "learning_rate": 1.958496209345673e-05, + "loss": 0.9482, + "step": 5063 + }, + { + "epoch": 0.12, + "grad_norm": 1.7830913906015908, + "learning_rate": 1.9584744518523812e-05, + "loss": 0.8676, + "step": 5064 + }, + { + "epoch": 0.12, + "grad_norm": 2.0250442875454864, + "learning_rate": 1.958452688778548e-05, + "loss": 0.8655, + "step": 5065 + }, + { + "epoch": 0.12, + "grad_norm": 0.8088266542528152, + "learning_rate": 1.9584309201242993e-05, + "loss": 0.7304, + "step": 5066 + }, + { + "epoch": 0.12, + "grad_norm": 1.6608463671257776, + "learning_rate": 1.958409145889763e-05, + "loss": 1.0235, + "step": 5067 + }, + { + "epoch": 0.12, + "grad_norm": 1.9276697853707112, + "learning_rate": 1.9583873660750646e-05, + "loss": 0.9084, + "step": 5068 + }, + { + "epoch": 0.12, + "grad_norm": 1.7125692396696193, + "learning_rate": 1.958365580680332e-05, + "loss": 1.0493, + "step": 5069 + }, + { + "epoch": 0.12, + "grad_norm": 2.6810438599728768, + "learning_rate": 1.9583437897056915e-05, + "loss": 0.9451, + "step": 5070 + }, + { + "epoch": 0.12, + "grad_norm": 4.406942540795005, + "learning_rate": 1.95832199315127e-05, + "loss": 0.9266, + "step": 5071 + }, + { + "epoch": 0.12, + "grad_norm": 2.1416326760208695, + "learning_rate": 1.9583001910171947e-05, + "loss": 0.8823, + "step": 5072 + }, + { + "epoch": 0.12, + "grad_norm": 1.7417331923309367, + "learning_rate": 1.958278383303592e-05, + "loss": 0.9355, + "step": 5073 + }, + { + "epoch": 0.12, + "grad_norm": 1.6735619740565644, + "learning_rate": 1.9582565700105893e-05, + "loss": 0.9196, + "step": 5074 + }, + { + "epoch": 0.12, + "grad_norm": 1.6339639207009775, + "learning_rate": 1.958234751138313e-05, + "loss": 0.9895, + "step": 5075 + }, + { + "epoch": 0.12, + "grad_norm": 1.6729747409148863, + "learning_rate": 1.9582129266868914e-05, + "loss": 0.9427, + "step": 5076 + }, + { + "epoch": 0.12, + "grad_norm": 1.8431684163618318, + "learning_rate": 1.9581910966564502e-05, + "loss": 0.9164, + "step": 5077 + }, + { + "epoch": 0.12, + "grad_norm": 1.728307529897513, + "learning_rate": 1.9581692610471174e-05, + "loss": 0.9968, + "step": 5078 + }, + { + "epoch": 0.12, + "grad_norm": 1.9883306297564625, + "learning_rate": 1.9581474198590196e-05, + "loss": 0.9517, + "step": 5079 + }, + { + "epoch": 0.12, + "grad_norm": 1.4202425251478032, + "learning_rate": 1.9581255730922842e-05, + "loss": 0.9809, + "step": 5080 + }, + { + "epoch": 0.12, + "grad_norm": 1.8434447705877912, + "learning_rate": 1.9581037207470382e-05, + "loss": 0.9413, + "step": 5081 + }, + { + "epoch": 0.12, + "grad_norm": 1.6845999581209343, + "learning_rate": 1.9580818628234095e-05, + "loss": 0.9461, + "step": 5082 + }, + { + "epoch": 0.12, + "grad_norm": 1.5987264556815757, + "learning_rate": 1.9580599993215243e-05, + "loss": 0.7866, + "step": 5083 + }, + { + "epoch": 0.12, + "grad_norm": 1.6990059882455373, + "learning_rate": 1.9580381302415107e-05, + "loss": 0.8581, + "step": 5084 + }, + { + "epoch": 0.12, + "grad_norm": 0.870111066479485, + "learning_rate": 1.9580162555834962e-05, + "loss": 0.7872, + "step": 5085 + }, + { + "epoch": 0.12, + "grad_norm": 0.7855812497210963, + "learning_rate": 1.957994375347607e-05, + "loss": 0.6807, + "step": 5086 + }, + { + "epoch": 0.12, + "grad_norm": 1.7156578527227042, + "learning_rate": 1.957972489533972e-05, + "loss": 0.8867, + "step": 5087 + }, + { + "epoch": 0.12, + "grad_norm": 1.913797385754987, + "learning_rate": 1.9579505981427177e-05, + "loss": 1.0086, + "step": 5088 + }, + { + "epoch": 0.12, + "grad_norm": 1.791056100516419, + "learning_rate": 1.9579287011739712e-05, + "loss": 0.9581, + "step": 5089 + }, + { + "epoch": 0.12, + "grad_norm": 0.7861538371279335, + "learning_rate": 1.957906798627861e-05, + "loss": 0.769, + "step": 5090 + }, + { + "epoch": 0.12, + "grad_norm": 1.6814956913066992, + "learning_rate": 1.957884890504514e-05, + "loss": 0.7988, + "step": 5091 + }, + { + "epoch": 0.12, + "grad_norm": 1.904072841187664, + "learning_rate": 1.957862976804058e-05, + "loss": 0.8789, + "step": 5092 + }, + { + "epoch": 0.12, + "grad_norm": 1.7194836275082128, + "learning_rate": 1.9578410575266203e-05, + "loss": 0.9119, + "step": 5093 + }, + { + "epoch": 0.12, + "grad_norm": 1.851303562869575, + "learning_rate": 1.9578191326723292e-05, + "loss": 0.9296, + "step": 5094 + }, + { + "epoch": 0.12, + "grad_norm": 1.7086366187566135, + "learning_rate": 1.9577972022413113e-05, + "loss": 0.8155, + "step": 5095 + }, + { + "epoch": 0.12, + "grad_norm": 1.5014215193871245, + "learning_rate": 1.9577752662336952e-05, + "loss": 0.8282, + "step": 5096 + }, + { + "epoch": 0.12, + "grad_norm": 1.9164158047027933, + "learning_rate": 1.957753324649608e-05, + "loss": 0.8775, + "step": 5097 + }, + { + "epoch": 0.12, + "grad_norm": 2.754128173827367, + "learning_rate": 1.957731377489178e-05, + "loss": 0.9024, + "step": 5098 + }, + { + "epoch": 0.12, + "grad_norm": 1.6601825575812776, + "learning_rate": 1.9577094247525324e-05, + "loss": 0.9683, + "step": 5099 + }, + { + "epoch": 0.12, + "grad_norm": 1.743228201561033, + "learning_rate": 1.9576874664397998e-05, + "loss": 0.8501, + "step": 5100 + }, + { + "epoch": 0.12, + "grad_norm": 1.5981810596110246, + "learning_rate": 1.9576655025511072e-05, + "loss": 0.9158, + "step": 5101 + }, + { + "epoch": 0.12, + "grad_norm": 0.7817092737819569, + "learning_rate": 1.957643533086583e-05, + "loss": 0.7409, + "step": 5102 + }, + { + "epoch": 0.12, + "grad_norm": 1.6034864816938732, + "learning_rate": 1.957621558046355e-05, + "loss": 0.98, + "step": 5103 + }, + { + "epoch": 0.12, + "grad_norm": 0.7501919393963586, + "learning_rate": 1.9575995774305506e-05, + "loss": 0.7247, + "step": 5104 + }, + { + "epoch": 0.12, + "grad_norm": 0.761884900859941, + "learning_rate": 1.9575775912392992e-05, + "loss": 0.7195, + "step": 5105 + }, + { + "epoch": 0.12, + "grad_norm": 2.6201072958872547, + "learning_rate": 1.9575555994727273e-05, + "loss": 0.9019, + "step": 5106 + }, + { + "epoch": 0.12, + "grad_norm": 2.5286720496676605, + "learning_rate": 1.9575336021309635e-05, + "loss": 0.9131, + "step": 5107 + }, + { + "epoch": 0.12, + "grad_norm": 1.7671839344647344, + "learning_rate": 1.957511599214136e-05, + "loss": 0.9553, + "step": 5108 + }, + { + "epoch": 0.12, + "grad_norm": 0.7399476225132007, + "learning_rate": 1.957489590722373e-05, + "loss": 0.7405, + "step": 5109 + }, + { + "epoch": 0.12, + "grad_norm": 1.5287623884487171, + "learning_rate": 1.9574675766558023e-05, + "loss": 0.8933, + "step": 5110 + }, + { + "epoch": 0.12, + "grad_norm": 2.028562878138543, + "learning_rate": 1.9574455570145524e-05, + "loss": 0.9243, + "step": 5111 + }, + { + "epoch": 0.12, + "grad_norm": 1.9509880707964935, + "learning_rate": 1.9574235317987514e-05, + "loss": 0.865, + "step": 5112 + }, + { + "epoch": 0.12, + "grad_norm": 1.7988250004292614, + "learning_rate": 1.9574015010085273e-05, + "loss": 0.8039, + "step": 5113 + }, + { + "epoch": 0.12, + "grad_norm": 1.681481607346226, + "learning_rate": 1.9573794646440084e-05, + "loss": 0.9374, + "step": 5114 + }, + { + "epoch": 0.12, + "grad_norm": 2.070437696572177, + "learning_rate": 1.9573574227053233e-05, + "loss": 0.8444, + "step": 5115 + }, + { + "epoch": 0.12, + "grad_norm": 1.780961720865504, + "learning_rate": 1.9573353751926004e-05, + "loss": 0.9333, + "step": 5116 + }, + { + "epoch": 0.12, + "grad_norm": 1.759361221135415, + "learning_rate": 1.9573133221059676e-05, + "loss": 0.8539, + "step": 5117 + }, + { + "epoch": 0.12, + "grad_norm": 1.7570988173874897, + "learning_rate": 1.9572912634455538e-05, + "loss": 0.9881, + "step": 5118 + }, + { + "epoch": 0.12, + "grad_norm": 2.2423654368434014, + "learning_rate": 1.9572691992114867e-05, + "loss": 0.9315, + "step": 5119 + }, + { + "epoch": 0.12, + "grad_norm": 1.7126885906856586, + "learning_rate": 1.9572471294038956e-05, + "loss": 0.9792, + "step": 5120 + }, + { + "epoch": 0.12, + "grad_norm": 1.6337422583243775, + "learning_rate": 1.9572250540229088e-05, + "loss": 0.8892, + "step": 5121 + }, + { + "epoch": 0.12, + "grad_norm": 2.2330124770025015, + "learning_rate": 1.9572029730686546e-05, + "loss": 0.9015, + "step": 5122 + }, + { + "epoch": 0.12, + "grad_norm": 1.7869841576376602, + "learning_rate": 1.9571808865412617e-05, + "loss": 0.8235, + "step": 5123 + }, + { + "epoch": 0.12, + "grad_norm": 1.487313891692777, + "learning_rate": 1.9571587944408582e-05, + "loss": 0.8405, + "step": 5124 + }, + { + "epoch": 0.12, + "grad_norm": 1.8254536197157796, + "learning_rate": 1.957136696767574e-05, + "loss": 0.9361, + "step": 5125 + }, + { + "epoch": 0.12, + "grad_norm": 4.2458725381653455, + "learning_rate": 1.9571145935215358e-05, + "loss": 1.0213, + "step": 5126 + }, + { + "epoch": 0.12, + "grad_norm": 1.6317317919675158, + "learning_rate": 1.9570924847028744e-05, + "loss": 0.9958, + "step": 5127 + }, + { + "epoch": 0.12, + "grad_norm": 1.5660429701085232, + "learning_rate": 1.957070370311717e-05, + "loss": 0.9151, + "step": 5128 + }, + { + "epoch": 0.12, + "grad_norm": 1.599175440614603, + "learning_rate": 1.9570482503481933e-05, + "loss": 0.7692, + "step": 5129 + }, + { + "epoch": 0.12, + "grad_norm": 1.595871952864152, + "learning_rate": 1.957026124812431e-05, + "loss": 0.9531, + "step": 5130 + }, + { + "epoch": 0.12, + "grad_norm": 1.8603979699567945, + "learning_rate": 1.9570039937045604e-05, + "loss": 0.9377, + "step": 5131 + }, + { + "epoch": 0.12, + "grad_norm": 1.9340791800211177, + "learning_rate": 1.9569818570247093e-05, + "loss": 0.81, + "step": 5132 + }, + { + "epoch": 0.12, + "grad_norm": 2.1898669852706716, + "learning_rate": 1.9569597147730066e-05, + "loss": 1.0279, + "step": 5133 + }, + { + "epoch": 0.12, + "grad_norm": 2.6183432545309557, + "learning_rate": 1.9569375669495815e-05, + "loss": 1.0245, + "step": 5134 + }, + { + "epoch": 0.12, + "grad_norm": 1.7497779835777567, + "learning_rate": 1.9569154135545634e-05, + "loss": 0.8276, + "step": 5135 + }, + { + "epoch": 0.12, + "grad_norm": 1.654881064009871, + "learning_rate": 1.9568932545880804e-05, + "loss": 1.0061, + "step": 5136 + }, + { + "epoch": 0.12, + "grad_norm": 1.6402510325711248, + "learning_rate": 1.9568710900502622e-05, + "loss": 0.9113, + "step": 5137 + }, + { + "epoch": 0.12, + "grad_norm": 1.9255831468869828, + "learning_rate": 1.9568489199412373e-05, + "loss": 0.9282, + "step": 5138 + }, + { + "epoch": 0.12, + "grad_norm": 1.616116227770459, + "learning_rate": 1.956826744261135e-05, + "loss": 0.9543, + "step": 5139 + }, + { + "epoch": 0.12, + "grad_norm": 0.9077216078099407, + "learning_rate": 1.9568045630100846e-05, + "loss": 0.829, + "step": 5140 + }, + { + "epoch": 0.12, + "grad_norm": 1.9090757405418268, + "learning_rate": 1.9567823761882154e-05, + "loss": 0.7547, + "step": 5141 + }, + { + "epoch": 0.12, + "grad_norm": 0.8243368734040427, + "learning_rate": 1.9567601837956557e-05, + "loss": 0.7493, + "step": 5142 + }, + { + "epoch": 0.12, + "grad_norm": 2.656930794538969, + "learning_rate": 1.9567379858325358e-05, + "loss": 0.88, + "step": 5143 + }, + { + "epoch": 0.12, + "grad_norm": 1.7471573633647464, + "learning_rate": 1.9567157822989843e-05, + "loss": 0.906, + "step": 5144 + }, + { + "epoch": 0.12, + "grad_norm": 1.542560289511785, + "learning_rate": 1.9566935731951307e-05, + "loss": 0.9313, + "step": 5145 + }, + { + "epoch": 0.12, + "grad_norm": 1.9415765441246897, + "learning_rate": 1.956671358521104e-05, + "loss": 0.9208, + "step": 5146 + }, + { + "epoch": 0.12, + "grad_norm": 1.6268742785769514, + "learning_rate": 1.9566491382770342e-05, + "loss": 1.1056, + "step": 5147 + }, + { + "epoch": 0.12, + "grad_norm": 1.823564604381398, + "learning_rate": 1.9566269124630498e-05, + "loss": 0.8676, + "step": 5148 + }, + { + "epoch": 0.12, + "grad_norm": 2.0137661573392776, + "learning_rate": 1.9566046810792806e-05, + "loss": 0.875, + "step": 5149 + }, + { + "epoch": 0.12, + "grad_norm": 1.8051028946965524, + "learning_rate": 1.9565824441258562e-05, + "loss": 0.9604, + "step": 5150 + }, + { + "epoch": 0.12, + "grad_norm": 1.8086395465138199, + "learning_rate": 1.9565602016029062e-05, + "loss": 0.9403, + "step": 5151 + }, + { + "epoch": 0.12, + "grad_norm": 0.8739732297003798, + "learning_rate": 1.95653795351056e-05, + "loss": 0.7479, + "step": 5152 + }, + { + "epoch": 0.12, + "grad_norm": 1.7171436644166524, + "learning_rate": 1.9565156998489465e-05, + "loss": 1.0446, + "step": 5153 + }, + { + "epoch": 0.12, + "grad_norm": 1.6895713981121072, + "learning_rate": 1.956493440618196e-05, + "loss": 1.0138, + "step": 5154 + }, + { + "epoch": 0.12, + "grad_norm": 1.5781394823315402, + "learning_rate": 1.9564711758184378e-05, + "loss": 0.8213, + "step": 5155 + }, + { + "epoch": 0.12, + "grad_norm": 1.569840016051968, + "learning_rate": 1.956448905449802e-05, + "loss": 0.9981, + "step": 5156 + }, + { + "epoch": 0.12, + "grad_norm": 0.7611763024878601, + "learning_rate": 1.9564266295124174e-05, + "loss": 0.7912, + "step": 5157 + }, + { + "epoch": 0.12, + "grad_norm": 1.6268438327067363, + "learning_rate": 1.956404348006414e-05, + "loss": 0.8503, + "step": 5158 + }, + { + "epoch": 0.12, + "grad_norm": 2.3431620514045384, + "learning_rate": 1.956382060931922e-05, + "loss": 0.9552, + "step": 5159 + }, + { + "epoch": 0.12, + "grad_norm": 0.7581565354781219, + "learning_rate": 1.956359768289071e-05, + "loss": 0.7449, + "step": 5160 + }, + { + "epoch": 0.12, + "grad_norm": 1.9437670031291914, + "learning_rate": 1.9563374700779904e-05, + "loss": 0.9526, + "step": 5161 + }, + { + "epoch": 0.12, + "grad_norm": 2.183980043575955, + "learning_rate": 1.9563151662988106e-05, + "loss": 0.898, + "step": 5162 + }, + { + "epoch": 0.12, + "grad_norm": 1.7333017905921884, + "learning_rate": 1.9562928569516607e-05, + "loss": 0.8542, + "step": 5163 + }, + { + "epoch": 0.12, + "grad_norm": 1.4627195001426299, + "learning_rate": 1.9562705420366712e-05, + "loss": 0.9797, + "step": 5164 + }, + { + "epoch": 0.12, + "grad_norm": 1.7370338897475865, + "learning_rate": 1.9562482215539722e-05, + "loss": 1.0767, + "step": 5165 + }, + { + "epoch": 0.12, + "grad_norm": 1.868719881585108, + "learning_rate": 1.9562258955036928e-05, + "loss": 0.8498, + "step": 5166 + }, + { + "epoch": 0.12, + "grad_norm": 1.6795310353715844, + "learning_rate": 1.9562035638859638e-05, + "loss": 1.034, + "step": 5167 + }, + { + "epoch": 0.12, + "grad_norm": 1.9672267670344505, + "learning_rate": 1.9561812267009148e-05, + "loss": 0.8332, + "step": 5168 + }, + { + "epoch": 0.12, + "grad_norm": 1.8800921925141394, + "learning_rate": 1.956158883948676e-05, + "loss": 1.0258, + "step": 5169 + }, + { + "epoch": 0.12, + "grad_norm": 1.6758555266826967, + "learning_rate": 1.9561365356293774e-05, + "loss": 0.765, + "step": 5170 + }, + { + "epoch": 0.12, + "grad_norm": 1.431781516291709, + "learning_rate": 1.9561141817431494e-05, + "loss": 1.0027, + "step": 5171 + }, + { + "epoch": 0.12, + "grad_norm": 1.998836619864577, + "learning_rate": 1.9560918222901216e-05, + "loss": 0.8659, + "step": 5172 + }, + { + "epoch": 0.12, + "grad_norm": 2.182099855881105, + "learning_rate": 1.9560694572704245e-05, + "loss": 1.0394, + "step": 5173 + }, + { + "epoch": 0.12, + "grad_norm": 2.4817428419644068, + "learning_rate": 1.9560470866841888e-05, + "loss": 0.9563, + "step": 5174 + }, + { + "epoch": 0.12, + "grad_norm": 1.9569750759800955, + "learning_rate": 1.9560247105315443e-05, + "loss": 0.9768, + "step": 5175 + }, + { + "epoch": 0.12, + "grad_norm": 1.8040985503747937, + "learning_rate": 1.9560023288126208e-05, + "loss": 0.8163, + "step": 5176 + }, + { + "epoch": 0.12, + "grad_norm": 1.7239451890897353, + "learning_rate": 1.955979941527549e-05, + "loss": 0.9362, + "step": 5177 + }, + { + "epoch": 0.12, + "grad_norm": 1.9365526253860272, + "learning_rate": 1.9559575486764596e-05, + "loss": 0.9674, + "step": 5178 + }, + { + "epoch": 0.12, + "grad_norm": 2.498922650197344, + "learning_rate": 1.9559351502594826e-05, + "loss": 0.9043, + "step": 5179 + }, + { + "epoch": 0.12, + "grad_norm": 1.5403861849825167, + "learning_rate": 1.9559127462767487e-05, + "loss": 0.7736, + "step": 5180 + }, + { + "epoch": 0.12, + "grad_norm": 0.8277983463338731, + "learning_rate": 1.9558903367283882e-05, + "loss": 0.7866, + "step": 5181 + }, + { + "epoch": 0.12, + "grad_norm": 1.775475622369038, + "learning_rate": 1.9558679216145314e-05, + "loss": 0.9904, + "step": 5182 + }, + { + "epoch": 0.12, + "grad_norm": 1.5281658117365184, + "learning_rate": 1.9558455009353086e-05, + "loss": 0.9569, + "step": 5183 + }, + { + "epoch": 0.12, + "grad_norm": 1.7349184059975096, + "learning_rate": 1.955823074690851e-05, + "loss": 0.9192, + "step": 5184 + }, + { + "epoch": 0.12, + "grad_norm": 1.805916884512184, + "learning_rate": 1.955800642881289e-05, + "loss": 0.9081, + "step": 5185 + }, + { + "epoch": 0.12, + "grad_norm": 0.8227918550331125, + "learning_rate": 1.9557782055067528e-05, + "loss": 0.7195, + "step": 5186 + }, + { + "epoch": 0.12, + "grad_norm": 1.6699386705807375, + "learning_rate": 1.9557557625673734e-05, + "loss": 0.9156, + "step": 5187 + }, + { + "epoch": 0.12, + "grad_norm": 2.3825057289545253, + "learning_rate": 1.9557333140632816e-05, + "loss": 0.9503, + "step": 5188 + }, + { + "epoch": 0.12, + "grad_norm": 0.8288755585009255, + "learning_rate": 1.9557108599946076e-05, + "loss": 0.8041, + "step": 5189 + }, + { + "epoch": 0.12, + "grad_norm": 1.7392976926203847, + "learning_rate": 1.9556884003614824e-05, + "loss": 0.9296, + "step": 5190 + }, + { + "epoch": 0.12, + "grad_norm": 1.6118039976563674, + "learning_rate": 1.9556659351640368e-05, + "loss": 1.0328, + "step": 5191 + }, + { + "epoch": 0.12, + "grad_norm": 1.7126083555008071, + "learning_rate": 1.9556434644024013e-05, + "loss": 0.8459, + "step": 5192 + }, + { + "epoch": 0.12, + "grad_norm": 1.62323216326804, + "learning_rate": 1.9556209880767073e-05, + "loss": 0.9482, + "step": 5193 + }, + { + "epoch": 0.12, + "grad_norm": 1.6831771531781243, + "learning_rate": 1.9555985061870854e-05, + "loss": 0.9488, + "step": 5194 + }, + { + "epoch": 0.12, + "grad_norm": 1.8521975749468866, + "learning_rate": 1.9555760187336665e-05, + "loss": 1.0456, + "step": 5195 + }, + { + "epoch": 0.12, + "grad_norm": 1.4789162964570624, + "learning_rate": 1.955553525716581e-05, + "loss": 0.8295, + "step": 5196 + }, + { + "epoch": 0.12, + "grad_norm": 1.789599931134345, + "learning_rate": 1.9555310271359608e-05, + "loss": 0.9306, + "step": 5197 + }, + { + "epoch": 0.12, + "grad_norm": 1.8894074774913878, + "learning_rate": 1.9555085229919366e-05, + "loss": 0.95, + "step": 5198 + }, + { + "epoch": 0.12, + "grad_norm": 2.2246169096894053, + "learning_rate": 1.955486013284639e-05, + "loss": 0.9409, + "step": 5199 + }, + { + "epoch": 0.12, + "grad_norm": 1.7118887555850368, + "learning_rate": 1.9554634980141993e-05, + "loss": 0.8501, + "step": 5200 + }, + { + "epoch": 0.12, + "grad_norm": 1.7686160012843388, + "learning_rate": 1.955440977180749e-05, + "loss": 1.0259, + "step": 5201 + }, + { + "epoch": 0.12, + "grad_norm": 1.6192052692967118, + "learning_rate": 1.9554184507844183e-05, + "loss": 0.812, + "step": 5202 + }, + { + "epoch": 0.12, + "grad_norm": 1.6970799347477619, + "learning_rate": 1.9553959188253388e-05, + "loss": 1.0167, + "step": 5203 + }, + { + "epoch": 0.12, + "grad_norm": 0.7911316009739089, + "learning_rate": 1.9553733813036425e-05, + "loss": 0.7687, + "step": 5204 + }, + { + "epoch": 0.12, + "grad_norm": 0.747120728108359, + "learning_rate": 1.955350838219459e-05, + "loss": 0.7092, + "step": 5205 + }, + { + "epoch": 0.12, + "grad_norm": 1.5943973118734653, + "learning_rate": 1.9553282895729212e-05, + "loss": 0.8388, + "step": 5206 + }, + { + "epoch": 0.12, + "grad_norm": 0.7624672493474765, + "learning_rate": 1.9553057353641595e-05, + "loss": 0.7476, + "step": 5207 + }, + { + "epoch": 0.12, + "grad_norm": 2.3300769167315996, + "learning_rate": 1.955283175593305e-05, + "loss": 0.9138, + "step": 5208 + }, + { + "epoch": 0.12, + "grad_norm": 1.75347097299342, + "learning_rate": 1.95526061026049e-05, + "loss": 0.9296, + "step": 5209 + }, + { + "epoch": 0.12, + "grad_norm": 1.761056924788106, + "learning_rate": 1.955238039365845e-05, + "loss": 0.9572, + "step": 5210 + }, + { + "epoch": 0.12, + "grad_norm": 1.7319372294278643, + "learning_rate": 1.9552154629095015e-05, + "loss": 0.9977, + "step": 5211 + }, + { + "epoch": 0.12, + "grad_norm": 1.850853360538751, + "learning_rate": 1.9551928808915914e-05, + "loss": 0.9405, + "step": 5212 + }, + { + "epoch": 0.12, + "grad_norm": 3.011167974607973, + "learning_rate": 1.9551702933122462e-05, + "loss": 0.8994, + "step": 5213 + }, + { + "epoch": 0.12, + "grad_norm": 1.9730022645693248, + "learning_rate": 1.9551477001715965e-05, + "loss": 0.8179, + "step": 5214 + }, + { + "epoch": 0.12, + "grad_norm": 1.6457791656698342, + "learning_rate": 1.955125101469775e-05, + "loss": 0.9987, + "step": 5215 + }, + { + "epoch": 0.12, + "grad_norm": 0.7742249304213965, + "learning_rate": 1.9551024972069127e-05, + "loss": 0.7053, + "step": 5216 + }, + { + "epoch": 0.12, + "grad_norm": 1.6092577017052383, + "learning_rate": 1.955079887383141e-05, + "loss": 0.8514, + "step": 5217 + }, + { + "epoch": 0.12, + "grad_norm": 1.7331064820394124, + "learning_rate": 1.9550572719985922e-05, + "loss": 1.0243, + "step": 5218 + }, + { + "epoch": 0.12, + "grad_norm": 0.8005164392934576, + "learning_rate": 1.955034651053397e-05, + "loss": 0.7461, + "step": 5219 + }, + { + "epoch": 0.12, + "grad_norm": 1.7135695656179375, + "learning_rate": 1.9550120245476886e-05, + "loss": 0.9585, + "step": 5220 + }, + { + "epoch": 0.12, + "grad_norm": 1.6003811189809345, + "learning_rate": 1.9549893924815974e-05, + "loss": 0.9058, + "step": 5221 + }, + { + "epoch": 0.12, + "grad_norm": 1.991097439596687, + "learning_rate": 1.9549667548552557e-05, + "loss": 0.8725, + "step": 5222 + }, + { + "epoch": 0.12, + "grad_norm": 2.803085741961407, + "learning_rate": 1.9549441116687945e-05, + "loss": 0.9487, + "step": 5223 + }, + { + "epoch": 0.12, + "grad_norm": 1.742193094625305, + "learning_rate": 1.954921462922347e-05, + "loss": 0.9015, + "step": 5224 + }, + { + "epoch": 0.12, + "grad_norm": 1.5835775061983637, + "learning_rate": 1.9548988086160445e-05, + "loss": 0.886, + "step": 5225 + }, + { + "epoch": 0.12, + "grad_norm": 0.8574871565725657, + "learning_rate": 1.954876148750019e-05, + "loss": 0.7706, + "step": 5226 + }, + { + "epoch": 0.12, + "grad_norm": 1.568782393483165, + "learning_rate": 1.9548534833244017e-05, + "loss": 0.7828, + "step": 5227 + }, + { + "epoch": 0.12, + "grad_norm": 1.8615733860825465, + "learning_rate": 1.9548308123393255e-05, + "loss": 0.9028, + "step": 5228 + }, + { + "epoch": 0.12, + "grad_norm": 1.9257569157210799, + "learning_rate": 1.9548081357949217e-05, + "loss": 0.9737, + "step": 5229 + }, + { + "epoch": 0.12, + "grad_norm": 1.6945220326318713, + "learning_rate": 1.954785453691323e-05, + "loss": 0.8842, + "step": 5230 + }, + { + "epoch": 0.12, + "grad_norm": 1.8406968086871316, + "learning_rate": 1.9547627660286607e-05, + "loss": 1.001, + "step": 5231 + }, + { + "epoch": 0.12, + "grad_norm": 1.6075468368751937, + "learning_rate": 1.9547400728070675e-05, + "loss": 0.8245, + "step": 5232 + }, + { + "epoch": 0.12, + "grad_norm": 1.6644124362151287, + "learning_rate": 1.9547173740266753e-05, + "loss": 0.8883, + "step": 5233 + }, + { + "epoch": 0.12, + "grad_norm": 1.848731521390837, + "learning_rate": 1.9546946696876164e-05, + "loss": 0.969, + "step": 5234 + }, + { + "epoch": 0.12, + "grad_norm": 1.824710012867441, + "learning_rate": 1.954671959790023e-05, + "loss": 0.8695, + "step": 5235 + }, + { + "epoch": 0.12, + "grad_norm": 1.811540013106361, + "learning_rate": 1.9546492443340268e-05, + "loss": 0.9926, + "step": 5236 + }, + { + "epoch": 0.12, + "grad_norm": 1.6632943885490021, + "learning_rate": 1.9546265233197607e-05, + "loss": 1.023, + "step": 5237 + }, + { + "epoch": 0.12, + "grad_norm": 1.843505139351382, + "learning_rate": 1.954603796747357e-05, + "loss": 0.9745, + "step": 5238 + }, + { + "epoch": 0.12, + "grad_norm": 1.935411118675836, + "learning_rate": 1.9545810646169474e-05, + "loss": 0.8343, + "step": 5239 + }, + { + "epoch": 0.12, + "grad_norm": 1.7564852885708075, + "learning_rate": 1.9545583269286646e-05, + "loss": 0.9433, + "step": 5240 + }, + { + "epoch": 0.12, + "grad_norm": 1.7740020589536223, + "learning_rate": 1.9545355836826415e-05, + "loss": 0.967, + "step": 5241 + }, + { + "epoch": 0.12, + "grad_norm": 1.7577583694567447, + "learning_rate": 1.9545128348790096e-05, + "loss": 1.0008, + "step": 5242 + }, + { + "epoch": 0.12, + "grad_norm": 1.9160962691619225, + "learning_rate": 1.9544900805179016e-05, + "loss": 0.9379, + "step": 5243 + }, + { + "epoch": 0.12, + "grad_norm": 1.6167185394684545, + "learning_rate": 1.9544673205994505e-05, + "loss": 0.9878, + "step": 5244 + }, + { + "epoch": 0.12, + "grad_norm": 1.6601549347353382, + "learning_rate": 1.9544445551237883e-05, + "loss": 0.9329, + "step": 5245 + }, + { + "epoch": 0.12, + "grad_norm": 1.8250134750403395, + "learning_rate": 1.9544217840910483e-05, + "loss": 0.9996, + "step": 5246 + }, + { + "epoch": 0.12, + "grad_norm": 1.889372892198248, + "learning_rate": 1.9543990075013618e-05, + "loss": 0.8811, + "step": 5247 + }, + { + "epoch": 0.12, + "grad_norm": 1.7223598460129503, + "learning_rate": 1.9543762253548623e-05, + "loss": 0.8301, + "step": 5248 + }, + { + "epoch": 0.12, + "grad_norm": 1.6680452673478048, + "learning_rate": 1.9543534376516824e-05, + "loss": 0.8977, + "step": 5249 + }, + { + "epoch": 0.12, + "grad_norm": 2.081064749514489, + "learning_rate": 1.954330644391955e-05, + "loss": 0.9847, + "step": 5250 + }, + { + "epoch": 0.12, + "grad_norm": 1.7490776218754434, + "learning_rate": 1.9543078455758118e-05, + "loss": 0.944, + "step": 5251 + }, + { + "epoch": 0.12, + "grad_norm": 1.5825088543135961, + "learning_rate": 1.9542850412033863e-05, + "loss": 0.9214, + "step": 5252 + }, + { + "epoch": 0.12, + "grad_norm": 1.5525621221735695, + "learning_rate": 1.9542622312748113e-05, + "loss": 0.9911, + "step": 5253 + }, + { + "epoch": 0.12, + "grad_norm": 1.7163822339038213, + "learning_rate": 1.9542394157902196e-05, + "loss": 0.9124, + "step": 5254 + }, + { + "epoch": 0.12, + "grad_norm": 2.14857471306957, + "learning_rate": 1.9542165947497436e-05, + "loss": 0.8499, + "step": 5255 + }, + { + "epoch": 0.12, + "grad_norm": 1.6979089537707854, + "learning_rate": 1.954193768153517e-05, + "loss": 0.936, + "step": 5256 + }, + { + "epoch": 0.12, + "grad_norm": 2.1311829145659478, + "learning_rate": 1.9541709360016715e-05, + "loss": 0.9338, + "step": 5257 + }, + { + "epoch": 0.12, + "grad_norm": 1.5470508469618902, + "learning_rate": 1.9541480982943413e-05, + "loss": 0.9786, + "step": 5258 + }, + { + "epoch": 0.12, + "grad_norm": 1.6050198742079682, + "learning_rate": 1.9541252550316585e-05, + "loss": 0.8798, + "step": 5259 + }, + { + "epoch": 0.12, + "grad_norm": 1.9765001174098276, + "learning_rate": 1.9541024062137565e-05, + "loss": 0.9632, + "step": 5260 + }, + { + "epoch": 0.12, + "grad_norm": 1.7455505068669437, + "learning_rate": 1.954079551840768e-05, + "loss": 0.9523, + "step": 5261 + }, + { + "epoch": 0.12, + "grad_norm": 1.6413220081242488, + "learning_rate": 1.954056691912827e-05, + "loss": 0.9148, + "step": 5262 + }, + { + "epoch": 0.12, + "grad_norm": 0.8190424811899725, + "learning_rate": 1.954033826430065e-05, + "loss": 0.7775, + "step": 5263 + }, + { + "epoch": 0.12, + "grad_norm": 0.8860928238754523, + "learning_rate": 1.9540109553926165e-05, + "loss": 0.7876, + "step": 5264 + }, + { + "epoch": 0.12, + "grad_norm": 1.6828697933986898, + "learning_rate": 1.953988078800614e-05, + "loss": 0.9816, + "step": 5265 + }, + { + "epoch": 0.12, + "grad_norm": 1.502738451607436, + "learning_rate": 1.953965196654191e-05, + "loss": 0.8861, + "step": 5266 + }, + { + "epoch": 0.12, + "grad_norm": 2.1234694625002097, + "learning_rate": 1.9539423089534805e-05, + "loss": 0.9096, + "step": 5267 + }, + { + "epoch": 0.12, + "grad_norm": 2.1258967852239303, + "learning_rate": 1.953919415698616e-05, + "loss": 0.9751, + "step": 5268 + }, + { + "epoch": 0.12, + "grad_norm": 2.2800108098377243, + "learning_rate": 1.9538965168897307e-05, + "loss": 0.8691, + "step": 5269 + }, + { + "epoch": 0.12, + "grad_norm": 2.2019227908517034, + "learning_rate": 1.9538736125269578e-05, + "loss": 0.9111, + "step": 5270 + }, + { + "epoch": 0.12, + "grad_norm": 1.9966027878000487, + "learning_rate": 1.9538507026104304e-05, + "loss": 0.9194, + "step": 5271 + }, + { + "epoch": 0.12, + "grad_norm": 0.782059150335296, + "learning_rate": 1.953827787140283e-05, + "loss": 0.7048, + "step": 5272 + }, + { + "epoch": 0.12, + "grad_norm": 2.0419580918905127, + "learning_rate": 1.9538048661166474e-05, + "loss": 0.8588, + "step": 5273 + }, + { + "epoch": 0.12, + "grad_norm": 1.6203121078608795, + "learning_rate": 1.9537819395396586e-05, + "loss": 0.9046, + "step": 5274 + }, + { + "epoch": 0.12, + "grad_norm": 0.7425926167497144, + "learning_rate": 1.9537590074094492e-05, + "loss": 0.731, + "step": 5275 + }, + { + "epoch": 0.12, + "grad_norm": 1.5530179318516024, + "learning_rate": 1.9537360697261524e-05, + "loss": 0.9763, + "step": 5276 + }, + { + "epoch": 0.12, + "grad_norm": 1.5016150626384914, + "learning_rate": 1.953713126489903e-05, + "loss": 0.9013, + "step": 5277 + }, + { + "epoch": 0.12, + "grad_norm": 1.7084329323903422, + "learning_rate": 1.9536901777008332e-05, + "loss": 0.9803, + "step": 5278 + }, + { + "epoch": 0.12, + "grad_norm": 1.7758531654116538, + "learning_rate": 1.9536672233590774e-05, + "loss": 1.0705, + "step": 5279 + }, + { + "epoch": 0.12, + "grad_norm": 1.415796926644435, + "learning_rate": 1.9536442634647696e-05, + "loss": 0.9231, + "step": 5280 + }, + { + "epoch": 0.12, + "grad_norm": 2.015142005950909, + "learning_rate": 1.9536212980180422e-05, + "loss": 0.8394, + "step": 5281 + }, + { + "epoch": 0.12, + "grad_norm": 2.015459115136848, + "learning_rate": 1.95359832701903e-05, + "loss": 1.115, + "step": 5282 + }, + { + "epoch": 0.12, + "grad_norm": 4.864039272647281, + "learning_rate": 1.9535753504678667e-05, + "loss": 0.9418, + "step": 5283 + }, + { + "epoch": 0.12, + "grad_norm": 1.7394483609058522, + "learning_rate": 1.9535523683646857e-05, + "loss": 0.9197, + "step": 5284 + }, + { + "epoch": 0.12, + "grad_norm": 1.5854275271184786, + "learning_rate": 1.9535293807096208e-05, + "loss": 0.8105, + "step": 5285 + }, + { + "epoch": 0.12, + "grad_norm": 1.6454234627086821, + "learning_rate": 1.953506387502806e-05, + "loss": 0.8542, + "step": 5286 + }, + { + "epoch": 0.12, + "grad_norm": 1.511235091097577, + "learning_rate": 1.9534833887443752e-05, + "loss": 0.828, + "step": 5287 + }, + { + "epoch": 0.12, + "grad_norm": 1.9457081266974134, + "learning_rate": 1.9534603844344623e-05, + "loss": 0.9956, + "step": 5288 + }, + { + "epoch": 0.12, + "grad_norm": 1.8779753431420496, + "learning_rate": 1.9534373745732008e-05, + "loss": 0.8959, + "step": 5289 + }, + { + "epoch": 0.12, + "grad_norm": 1.9178576374111194, + "learning_rate": 1.9534143591607256e-05, + "loss": 1.0322, + "step": 5290 + }, + { + "epoch": 0.12, + "grad_norm": 0.8662910880282699, + "learning_rate": 1.9533913381971698e-05, + "loss": 0.7302, + "step": 5291 + }, + { + "epoch": 0.12, + "grad_norm": 1.7826955747669873, + "learning_rate": 1.953368311682668e-05, + "loss": 0.8565, + "step": 5292 + }, + { + "epoch": 0.12, + "grad_norm": 0.7964542650510167, + "learning_rate": 1.953345279617354e-05, + "loss": 0.7567, + "step": 5293 + }, + { + "epoch": 0.12, + "grad_norm": 1.6137696848875023, + "learning_rate": 1.9533222420013618e-05, + "loss": 0.888, + "step": 5294 + }, + { + "epoch": 0.12, + "grad_norm": 1.5825224445369757, + "learning_rate": 1.9532991988348254e-05, + "loss": 0.9575, + "step": 5295 + }, + { + "epoch": 0.12, + "grad_norm": 1.6442944124012893, + "learning_rate": 1.9532761501178797e-05, + "loss": 0.9075, + "step": 5296 + }, + { + "epoch": 0.12, + "grad_norm": 2.6556931684690634, + "learning_rate": 1.9532530958506585e-05, + "loss": 1.0076, + "step": 5297 + }, + { + "epoch": 0.12, + "grad_norm": 2.289226200986102, + "learning_rate": 1.953230036033296e-05, + "loss": 0.899, + "step": 5298 + }, + { + "epoch": 0.12, + "grad_norm": 1.4692785097934908, + "learning_rate": 1.9532069706659263e-05, + "loss": 0.9117, + "step": 5299 + }, + { + "epoch": 0.12, + "grad_norm": 1.8339465299606417, + "learning_rate": 1.9531838997486838e-05, + "loss": 0.9307, + "step": 5300 + }, + { + "epoch": 0.12, + "grad_norm": 1.9959655903880873, + "learning_rate": 1.953160823281703e-05, + "loss": 1.0878, + "step": 5301 + }, + { + "epoch": 0.12, + "grad_norm": 1.7320270739959593, + "learning_rate": 1.953137741265118e-05, + "loss": 0.971, + "step": 5302 + }, + { + "epoch": 0.12, + "grad_norm": 1.9900132527644658, + "learning_rate": 1.9531146536990634e-05, + "loss": 0.864, + "step": 5303 + }, + { + "epoch": 0.12, + "grad_norm": 1.7147721897195314, + "learning_rate": 1.9530915605836735e-05, + "loss": 0.8889, + "step": 5304 + }, + { + "epoch": 0.12, + "grad_norm": 1.8750180149361566, + "learning_rate": 1.9530684619190827e-05, + "loss": 0.8374, + "step": 5305 + }, + { + "epoch": 0.13, + "grad_norm": 2.1209383971258116, + "learning_rate": 1.9530453577054257e-05, + "loss": 1.0068, + "step": 5306 + }, + { + "epoch": 0.13, + "grad_norm": 1.7464257217641674, + "learning_rate": 1.9530222479428368e-05, + "loss": 0.8364, + "step": 5307 + }, + { + "epoch": 0.13, + "grad_norm": 1.7333656003521416, + "learning_rate": 1.9529991326314506e-05, + "loss": 0.9595, + "step": 5308 + }, + { + "epoch": 0.13, + "grad_norm": 1.7801685027680443, + "learning_rate": 1.952976011771402e-05, + "loss": 0.8096, + "step": 5309 + }, + { + "epoch": 0.13, + "grad_norm": 1.8767441832743956, + "learning_rate": 1.9529528853628254e-05, + "loss": 0.9618, + "step": 5310 + }, + { + "epoch": 0.13, + "grad_norm": 1.7144882880485373, + "learning_rate": 1.952929753405855e-05, + "loss": 0.9782, + "step": 5311 + }, + { + "epoch": 0.13, + "grad_norm": 3.540971120729845, + "learning_rate": 1.952906615900626e-05, + "loss": 0.717, + "step": 5312 + }, + { + "epoch": 0.13, + "grad_norm": 0.7828562394473262, + "learning_rate": 1.952883472847273e-05, + "loss": 0.6946, + "step": 5313 + }, + { + "epoch": 0.13, + "grad_norm": 1.7862598825895826, + "learning_rate": 1.9528603242459308e-05, + "loss": 0.9163, + "step": 5314 + }, + { + "epoch": 0.13, + "grad_norm": 1.6619926931137672, + "learning_rate": 1.952837170096734e-05, + "loss": 0.9451, + "step": 5315 + }, + { + "epoch": 0.13, + "grad_norm": 2.2643240194151644, + "learning_rate": 1.952814010399818e-05, + "loss": 0.9042, + "step": 5316 + }, + { + "epoch": 0.13, + "grad_norm": 1.8076685306014773, + "learning_rate": 1.9527908451553168e-05, + "loss": 0.888, + "step": 5317 + }, + { + "epoch": 0.13, + "grad_norm": 20.525848383782918, + "learning_rate": 1.9527676743633654e-05, + "loss": 0.9653, + "step": 5318 + }, + { + "epoch": 0.13, + "grad_norm": 1.7173733359311778, + "learning_rate": 1.9527444980240993e-05, + "loss": 0.9321, + "step": 5319 + }, + { + "epoch": 0.13, + "grad_norm": 2.060848093812822, + "learning_rate": 1.952721316137653e-05, + "loss": 0.9152, + "step": 5320 + }, + { + "epoch": 0.13, + "grad_norm": 1.8442536854592997, + "learning_rate": 1.952698128704162e-05, + "loss": 1.0763, + "step": 5321 + }, + { + "epoch": 0.13, + "grad_norm": 1.6908074358193346, + "learning_rate": 1.9526749357237604e-05, + "loss": 0.802, + "step": 5322 + }, + { + "epoch": 0.13, + "grad_norm": 1.9328394768197559, + "learning_rate": 1.952651737196584e-05, + "loss": 0.9057, + "step": 5323 + }, + { + "epoch": 0.13, + "grad_norm": 2.3365099720973257, + "learning_rate": 1.9526285331227672e-05, + "loss": 0.9047, + "step": 5324 + }, + { + "epoch": 0.13, + "grad_norm": 1.7165172930924288, + "learning_rate": 1.9526053235024457e-05, + "loss": 0.9731, + "step": 5325 + }, + { + "epoch": 0.13, + "grad_norm": 2.009341374210776, + "learning_rate": 1.9525821083357545e-05, + "loss": 0.9569, + "step": 5326 + }, + { + "epoch": 0.13, + "grad_norm": 1.6809503739426892, + "learning_rate": 1.9525588876228284e-05, + "loss": 0.9731, + "step": 5327 + }, + { + "epoch": 0.13, + "grad_norm": 1.6161414360354214, + "learning_rate": 1.952535661363803e-05, + "loss": 0.8903, + "step": 5328 + }, + { + "epoch": 0.13, + "grad_norm": 1.6634254779029691, + "learning_rate": 1.9525124295588135e-05, + "loss": 1.0164, + "step": 5329 + }, + { + "epoch": 0.13, + "grad_norm": 1.6974300224070469, + "learning_rate": 1.952489192207995e-05, + "loss": 0.9562, + "step": 5330 + }, + { + "epoch": 0.13, + "grad_norm": 2.407340473179403, + "learning_rate": 1.952465949311483e-05, + "loss": 0.9165, + "step": 5331 + }, + { + "epoch": 0.13, + "grad_norm": 1.6821148501876082, + "learning_rate": 1.9524427008694125e-05, + "loss": 0.691, + "step": 5332 + }, + { + "epoch": 0.13, + "grad_norm": 1.741861485830763, + "learning_rate": 1.952419446881919e-05, + "loss": 0.9632, + "step": 5333 + }, + { + "epoch": 0.13, + "grad_norm": 2.1462468119351144, + "learning_rate": 1.9523961873491385e-05, + "loss": 1.0495, + "step": 5334 + }, + { + "epoch": 0.13, + "grad_norm": 1.585538739003118, + "learning_rate": 1.9523729222712053e-05, + "loss": 0.8468, + "step": 5335 + }, + { + "epoch": 0.13, + "grad_norm": 1.462976415691202, + "learning_rate": 1.9523496516482557e-05, + "loss": 0.9731, + "step": 5336 + }, + { + "epoch": 0.13, + "grad_norm": 1.9604192542788503, + "learning_rate": 1.9523263754804248e-05, + "loss": 0.8574, + "step": 5337 + }, + { + "epoch": 0.13, + "grad_norm": 2.09102078785821, + "learning_rate": 1.9523030937678484e-05, + "loss": 0.8945, + "step": 5338 + }, + { + "epoch": 0.13, + "grad_norm": 1.8905214986580736, + "learning_rate": 1.9522798065106615e-05, + "loss": 0.9284, + "step": 5339 + }, + { + "epoch": 0.13, + "grad_norm": 1.7220881404118291, + "learning_rate": 1.9522565137090005e-05, + "loss": 1.0757, + "step": 5340 + }, + { + "epoch": 0.13, + "grad_norm": 2.8048904677853965, + "learning_rate": 1.9522332153630006e-05, + "loss": 0.9473, + "step": 5341 + }, + { + "epoch": 0.13, + "grad_norm": 1.7469465665094186, + "learning_rate": 1.952209911472797e-05, + "loss": 0.8947, + "step": 5342 + }, + { + "epoch": 0.13, + "grad_norm": 1.8509410438029643, + "learning_rate": 1.952186602038526e-05, + "loss": 0.9013, + "step": 5343 + }, + { + "epoch": 0.13, + "grad_norm": 0.7406840296649513, + "learning_rate": 1.9521632870603235e-05, + "loss": 0.7015, + "step": 5344 + }, + { + "epoch": 0.13, + "grad_norm": 1.881791113469076, + "learning_rate": 1.952139966538325e-05, + "loss": 0.9571, + "step": 5345 + }, + { + "epoch": 0.13, + "grad_norm": 2.3344371337308365, + "learning_rate": 1.9521166404726656e-05, + "loss": 0.8, + "step": 5346 + }, + { + "epoch": 0.13, + "grad_norm": 0.8005053595197159, + "learning_rate": 1.952093308863482e-05, + "loss": 0.7785, + "step": 5347 + }, + { + "epoch": 0.13, + "grad_norm": 2.2308430368483414, + "learning_rate": 1.9520699717109096e-05, + "loss": 0.963, + "step": 5348 + }, + { + "epoch": 0.13, + "grad_norm": 2.141862657695238, + "learning_rate": 1.9520466290150842e-05, + "loss": 0.9635, + "step": 5349 + }, + { + "epoch": 0.13, + "grad_norm": 1.7690635340096987, + "learning_rate": 1.9520232807761424e-05, + "loss": 0.9612, + "step": 5350 + }, + { + "epoch": 0.13, + "grad_norm": 1.6086560707543935, + "learning_rate": 1.9519999269942194e-05, + "loss": 0.9082, + "step": 5351 + }, + { + "epoch": 0.13, + "grad_norm": 2.148215861267133, + "learning_rate": 1.9519765676694513e-05, + "loss": 0.9579, + "step": 5352 + }, + { + "epoch": 0.13, + "grad_norm": 1.6263565406697633, + "learning_rate": 1.9519532028019744e-05, + "loss": 1.1081, + "step": 5353 + }, + { + "epoch": 0.13, + "grad_norm": 1.6711783138491898, + "learning_rate": 1.9519298323919245e-05, + "loss": 0.7825, + "step": 5354 + }, + { + "epoch": 0.13, + "grad_norm": 0.7585137333288545, + "learning_rate": 1.9519064564394383e-05, + "loss": 0.7283, + "step": 5355 + }, + { + "epoch": 0.13, + "grad_norm": 1.6859913151432588, + "learning_rate": 1.9518830749446507e-05, + "loss": 0.881, + "step": 5356 + }, + { + "epoch": 0.13, + "grad_norm": 1.9769859974620596, + "learning_rate": 1.9518596879076982e-05, + "loss": 1.0287, + "step": 5357 + }, + { + "epoch": 0.13, + "grad_norm": 1.6344124652595886, + "learning_rate": 1.9518362953287178e-05, + "loss": 0.8539, + "step": 5358 + }, + { + "epoch": 0.13, + "grad_norm": 2.321037428429909, + "learning_rate": 1.9518128972078448e-05, + "loss": 0.9184, + "step": 5359 + }, + { + "epoch": 0.13, + "grad_norm": 11.126235497209555, + "learning_rate": 1.951789493545216e-05, + "loss": 0.7913, + "step": 5360 + }, + { + "epoch": 0.13, + "grad_norm": 2.802766408502546, + "learning_rate": 1.9517660843409678e-05, + "loss": 0.9803, + "step": 5361 + }, + { + "epoch": 0.13, + "grad_norm": 1.7969476759637737, + "learning_rate": 1.9517426695952358e-05, + "loss": 0.9796, + "step": 5362 + }, + { + "epoch": 0.13, + "grad_norm": 0.7614613642630681, + "learning_rate": 1.9517192493081563e-05, + "loss": 0.746, + "step": 5363 + }, + { + "epoch": 0.13, + "grad_norm": 1.9344862934305203, + "learning_rate": 1.9516958234798663e-05, + "loss": 1.0259, + "step": 5364 + }, + { + "epoch": 0.13, + "grad_norm": 1.5940066182959411, + "learning_rate": 1.951672392110502e-05, + "loss": 0.994, + "step": 5365 + }, + { + "epoch": 0.13, + "grad_norm": 3.037261670871271, + "learning_rate": 1.9516489552002e-05, + "loss": 0.9577, + "step": 5366 + }, + { + "epoch": 0.13, + "grad_norm": 1.8079767287737025, + "learning_rate": 1.951625512749096e-05, + "loss": 0.9531, + "step": 5367 + }, + { + "epoch": 0.13, + "grad_norm": 1.5643013264454202, + "learning_rate": 1.9516020647573272e-05, + "loss": 1.0211, + "step": 5368 + }, + { + "epoch": 0.13, + "grad_norm": 1.7939932365251154, + "learning_rate": 1.95157861122503e-05, + "loss": 0.788, + "step": 5369 + }, + { + "epoch": 0.13, + "grad_norm": 1.617211919111542, + "learning_rate": 1.9515551521523406e-05, + "loss": 0.8465, + "step": 5370 + }, + { + "epoch": 0.13, + "grad_norm": 1.5316581278255934, + "learning_rate": 1.9515316875393958e-05, + "loss": 0.9709, + "step": 5371 + }, + { + "epoch": 0.13, + "grad_norm": 1.8396077799473223, + "learning_rate": 1.9515082173863327e-05, + "loss": 1.0722, + "step": 5372 + }, + { + "epoch": 0.13, + "grad_norm": 0.759523013306363, + "learning_rate": 1.9514847416932873e-05, + "loss": 0.7269, + "step": 5373 + }, + { + "epoch": 0.13, + "grad_norm": 2.5334566191658405, + "learning_rate": 1.9514612604603963e-05, + "loss": 0.9835, + "step": 5374 + }, + { + "epoch": 0.13, + "grad_norm": 2.006439312783685, + "learning_rate": 1.9514377736877967e-05, + "loss": 0.9162, + "step": 5375 + }, + { + "epoch": 0.13, + "grad_norm": 1.8454950772641976, + "learning_rate": 1.9514142813756253e-05, + "loss": 0.9533, + "step": 5376 + }, + { + "epoch": 0.13, + "grad_norm": 1.8500522432142463, + "learning_rate": 1.9513907835240187e-05, + "loss": 0.8693, + "step": 5377 + }, + { + "epoch": 0.13, + "grad_norm": 1.6990182442796222, + "learning_rate": 1.9513672801331135e-05, + "loss": 0.7939, + "step": 5378 + }, + { + "epoch": 0.13, + "grad_norm": 1.7972617933078932, + "learning_rate": 1.951343771203047e-05, + "loss": 0.7572, + "step": 5379 + }, + { + "epoch": 0.13, + "grad_norm": 1.8249004907013517, + "learning_rate": 1.951320256733956e-05, + "loss": 0.9, + "step": 5380 + }, + { + "epoch": 0.13, + "grad_norm": 1.6310457845830766, + "learning_rate": 1.951296736725977e-05, + "loss": 0.8368, + "step": 5381 + }, + { + "epoch": 0.13, + "grad_norm": 1.7553806299864445, + "learning_rate": 1.9512732111792477e-05, + "loss": 0.9626, + "step": 5382 + }, + { + "epoch": 0.13, + "grad_norm": 2.058543774517998, + "learning_rate": 1.9512496800939043e-05, + "loss": 0.9241, + "step": 5383 + }, + { + "epoch": 0.13, + "grad_norm": 0.8649875400827219, + "learning_rate": 1.9512261434700842e-05, + "loss": 0.7468, + "step": 5384 + }, + { + "epoch": 0.13, + "grad_norm": 1.6635490954387002, + "learning_rate": 1.951202601307924e-05, + "loss": 1.0096, + "step": 5385 + }, + { + "epoch": 0.13, + "grad_norm": 0.919000734723904, + "learning_rate": 1.9511790536075613e-05, + "loss": 0.8563, + "step": 5386 + }, + { + "epoch": 0.13, + "grad_norm": 1.7892176436917233, + "learning_rate": 1.951155500369133e-05, + "loss": 0.9227, + "step": 5387 + }, + { + "epoch": 0.13, + "grad_norm": 1.9020564435855092, + "learning_rate": 1.9511319415927766e-05, + "loss": 0.8915, + "step": 5388 + }, + { + "epoch": 0.13, + "grad_norm": 1.8179972257705157, + "learning_rate": 1.9511083772786285e-05, + "loss": 0.8943, + "step": 5389 + }, + { + "epoch": 0.13, + "grad_norm": 4.021895058749251, + "learning_rate": 1.9510848074268263e-05, + "loss": 0.7737, + "step": 5390 + }, + { + "epoch": 0.13, + "grad_norm": 1.6891199887726087, + "learning_rate": 1.9510612320375073e-05, + "loss": 0.9041, + "step": 5391 + }, + { + "epoch": 0.13, + "grad_norm": 1.658799981338792, + "learning_rate": 1.951037651110809e-05, + "loss": 0.8776, + "step": 5392 + }, + { + "epoch": 0.13, + "grad_norm": 2.070308890738805, + "learning_rate": 1.9510140646468682e-05, + "loss": 0.9247, + "step": 5393 + }, + { + "epoch": 0.13, + "grad_norm": 1.71083629856045, + "learning_rate": 1.9509904726458223e-05, + "loss": 0.988, + "step": 5394 + }, + { + "epoch": 0.13, + "grad_norm": 1.7228799266418808, + "learning_rate": 1.9509668751078087e-05, + "loss": 0.7754, + "step": 5395 + }, + { + "epoch": 0.13, + "grad_norm": 1.5574001126053683, + "learning_rate": 1.9509432720329653e-05, + "loss": 0.9811, + "step": 5396 + }, + { + "epoch": 0.13, + "grad_norm": 2.0767273571643208, + "learning_rate": 1.9509196634214288e-05, + "loss": 0.9355, + "step": 5397 + }, + { + "epoch": 0.13, + "grad_norm": 1.7131219082339386, + "learning_rate": 1.950896049273337e-05, + "loss": 0.8516, + "step": 5398 + }, + { + "epoch": 0.13, + "grad_norm": 1.4912028452985295, + "learning_rate": 1.9508724295888277e-05, + "loss": 0.8892, + "step": 5399 + }, + { + "epoch": 0.13, + "grad_norm": 1.7892981931898446, + "learning_rate": 1.9508488043680376e-05, + "loss": 0.9332, + "step": 5400 + }, + { + "epoch": 0.13, + "grad_norm": 1.7925425576756322, + "learning_rate": 1.950825173611105e-05, + "loss": 0.9925, + "step": 5401 + }, + { + "epoch": 0.13, + "grad_norm": 1.5555795503219432, + "learning_rate": 1.950801537318167e-05, + "loss": 0.7728, + "step": 5402 + }, + { + "epoch": 0.13, + "grad_norm": 1.7787813645102626, + "learning_rate": 1.9507778954893614e-05, + "loss": 0.7983, + "step": 5403 + }, + { + "epoch": 0.13, + "grad_norm": 1.688929958336824, + "learning_rate": 1.950754248124826e-05, + "loss": 0.9675, + "step": 5404 + }, + { + "epoch": 0.13, + "grad_norm": 1.740479027460686, + "learning_rate": 1.9507305952246988e-05, + "loss": 1.0137, + "step": 5405 + }, + { + "epoch": 0.13, + "grad_norm": 1.6490363103791827, + "learning_rate": 1.9507069367891166e-05, + "loss": 0.9066, + "step": 5406 + }, + { + "epoch": 0.13, + "grad_norm": 2.126309609276336, + "learning_rate": 1.950683272818218e-05, + "loss": 0.9525, + "step": 5407 + }, + { + "epoch": 0.13, + "grad_norm": 1.6297375098091107, + "learning_rate": 1.9506596033121397e-05, + "loss": 0.9031, + "step": 5408 + }, + { + "epoch": 0.13, + "grad_norm": 2.063698273492525, + "learning_rate": 1.9506359282710207e-05, + "loss": 0.9538, + "step": 5409 + }, + { + "epoch": 0.13, + "grad_norm": 1.6487620943937056, + "learning_rate": 1.950612247694998e-05, + "loss": 0.9825, + "step": 5410 + }, + { + "epoch": 0.13, + "grad_norm": 2.253286770522573, + "learning_rate": 1.9505885615842102e-05, + "loss": 1.0461, + "step": 5411 + }, + { + "epoch": 0.13, + "grad_norm": 3.1452991197044327, + "learning_rate": 1.950564869938795e-05, + "loss": 0.9489, + "step": 5412 + }, + { + "epoch": 0.13, + "grad_norm": 1.9251266503977102, + "learning_rate": 1.95054117275889e-05, + "loss": 0.8763, + "step": 5413 + }, + { + "epoch": 0.13, + "grad_norm": 1.5367244480995392, + "learning_rate": 1.9505174700446333e-05, + "loss": 1.0075, + "step": 5414 + }, + { + "epoch": 0.13, + "grad_norm": 1.971817922121483, + "learning_rate": 1.950493761796163e-05, + "loss": 0.9632, + "step": 5415 + }, + { + "epoch": 0.13, + "grad_norm": 2.1129032725239543, + "learning_rate": 1.950470048013617e-05, + "loss": 1.0063, + "step": 5416 + }, + { + "epoch": 0.13, + "grad_norm": 0.8562801834062778, + "learning_rate": 1.9504463286971332e-05, + "loss": 0.7769, + "step": 5417 + }, + { + "epoch": 0.13, + "grad_norm": 2.552064536995138, + "learning_rate": 1.9504226038468506e-05, + "loss": 0.8209, + "step": 5418 + }, + { + "epoch": 0.13, + "grad_norm": 1.6870117425573543, + "learning_rate": 1.950398873462906e-05, + "loss": 1.0762, + "step": 5419 + }, + { + "epoch": 0.13, + "grad_norm": 0.7988538529160336, + "learning_rate": 1.9503751375454388e-05, + "loss": 0.74, + "step": 5420 + }, + { + "epoch": 0.13, + "grad_norm": 1.701815132796825, + "learning_rate": 1.9503513960945864e-05, + "loss": 0.9148, + "step": 5421 + }, + { + "epoch": 0.13, + "grad_norm": 0.756972830951306, + "learning_rate": 1.9503276491104876e-05, + "loss": 0.6982, + "step": 5422 + }, + { + "epoch": 0.13, + "grad_norm": 2.0538067971749254, + "learning_rate": 1.9503038965932802e-05, + "loss": 0.8383, + "step": 5423 + }, + { + "epoch": 0.13, + "grad_norm": 1.844709763064207, + "learning_rate": 1.9502801385431028e-05, + "loss": 0.9535, + "step": 5424 + }, + { + "epoch": 0.13, + "grad_norm": 1.8946759010794472, + "learning_rate": 1.9502563749600933e-05, + "loss": 0.985, + "step": 5425 + }, + { + "epoch": 0.13, + "grad_norm": 1.8652318161177932, + "learning_rate": 1.9502326058443904e-05, + "loss": 0.9584, + "step": 5426 + }, + { + "epoch": 0.13, + "grad_norm": 1.8396521840812694, + "learning_rate": 1.9502088311961324e-05, + "loss": 0.9944, + "step": 5427 + }, + { + "epoch": 0.13, + "grad_norm": 0.7691331826195228, + "learning_rate": 1.9501850510154578e-05, + "loss": 0.7662, + "step": 5428 + }, + { + "epoch": 0.13, + "grad_norm": 1.6652388990437186, + "learning_rate": 1.950161265302505e-05, + "loss": 0.9347, + "step": 5429 + }, + { + "epoch": 0.13, + "grad_norm": 1.8631228847719945, + "learning_rate": 1.9501374740574128e-05, + "loss": 0.8657, + "step": 5430 + }, + { + "epoch": 0.13, + "grad_norm": 1.6528099967538668, + "learning_rate": 1.9501136772803192e-05, + "loss": 0.876, + "step": 5431 + }, + { + "epoch": 0.13, + "grad_norm": 0.7560890038429193, + "learning_rate": 1.9500898749713628e-05, + "loss": 0.6628, + "step": 5432 + }, + { + "epoch": 0.13, + "grad_norm": 2.152034716498684, + "learning_rate": 1.9500660671306826e-05, + "loss": 0.9732, + "step": 5433 + }, + { + "epoch": 0.13, + "grad_norm": 2.1234127573049784, + "learning_rate": 1.950042253758417e-05, + "loss": 0.9302, + "step": 5434 + }, + { + "epoch": 0.13, + "grad_norm": 1.7717484127707819, + "learning_rate": 1.950018434854704e-05, + "loss": 0.8698, + "step": 5435 + }, + { + "epoch": 0.13, + "grad_norm": 1.7338308793602197, + "learning_rate": 1.9499946104196835e-05, + "loss": 1.0222, + "step": 5436 + }, + { + "epoch": 0.13, + "grad_norm": 2.057595168458925, + "learning_rate": 1.9499707804534934e-05, + "loss": 0.9138, + "step": 5437 + }, + { + "epoch": 0.13, + "grad_norm": 2.1499471962308236, + "learning_rate": 1.949946944956273e-05, + "loss": 0.9338, + "step": 5438 + }, + { + "epoch": 0.13, + "grad_norm": 2.065412651013168, + "learning_rate": 1.9499231039281603e-05, + "loss": 0.9354, + "step": 5439 + }, + { + "epoch": 0.13, + "grad_norm": 1.8011553720864757, + "learning_rate": 1.9498992573692948e-05, + "loss": 1.0134, + "step": 5440 + }, + { + "epoch": 0.13, + "grad_norm": 1.7966379494059974, + "learning_rate": 1.949875405279815e-05, + "loss": 1.0361, + "step": 5441 + }, + { + "epoch": 0.13, + "grad_norm": 1.9450399198885355, + "learning_rate": 1.94985154765986e-05, + "loss": 0.8227, + "step": 5442 + }, + { + "epoch": 0.13, + "grad_norm": 1.656569668380468, + "learning_rate": 1.949827684509568e-05, + "loss": 0.9984, + "step": 5443 + }, + { + "epoch": 0.13, + "grad_norm": 0.7359466578439349, + "learning_rate": 1.9498038158290792e-05, + "loss": 0.7281, + "step": 5444 + }, + { + "epoch": 0.13, + "grad_norm": 1.7432831728369, + "learning_rate": 1.9497799416185318e-05, + "loss": 0.9733, + "step": 5445 + }, + { + "epoch": 0.13, + "grad_norm": 1.8000075112438245, + "learning_rate": 1.949756061878065e-05, + "loss": 1.0169, + "step": 5446 + }, + { + "epoch": 0.13, + "grad_norm": 1.6147732201781544, + "learning_rate": 1.949732176607817e-05, + "loss": 1.0034, + "step": 5447 + }, + { + "epoch": 0.13, + "grad_norm": 1.6660794450492264, + "learning_rate": 1.9497082858079284e-05, + "loss": 0.9985, + "step": 5448 + }, + { + "epoch": 0.13, + "grad_norm": 0.806771203805873, + "learning_rate": 1.9496843894785372e-05, + "loss": 0.746, + "step": 5449 + }, + { + "epoch": 0.13, + "grad_norm": 2.394120431628494, + "learning_rate": 1.9496604876197826e-05, + "loss": 0.9757, + "step": 5450 + }, + { + "epoch": 0.13, + "grad_norm": 1.8928078748579586, + "learning_rate": 1.949636580231804e-05, + "loss": 0.916, + "step": 5451 + }, + { + "epoch": 0.13, + "grad_norm": 1.8060035112975872, + "learning_rate": 1.949612667314741e-05, + "loss": 0.9461, + "step": 5452 + }, + { + "epoch": 0.13, + "grad_norm": 3.5616168716297434, + "learning_rate": 1.949588748868732e-05, + "loss": 0.8879, + "step": 5453 + }, + { + "epoch": 0.13, + "grad_norm": 2.0112121818345052, + "learning_rate": 1.9495648248939166e-05, + "loss": 0.9419, + "step": 5454 + }, + { + "epoch": 0.13, + "grad_norm": 1.6258149183567963, + "learning_rate": 1.9495408953904346e-05, + "loss": 0.8213, + "step": 5455 + }, + { + "epoch": 0.13, + "grad_norm": 0.8130786310000964, + "learning_rate": 1.9495169603584244e-05, + "loss": 0.7201, + "step": 5456 + }, + { + "epoch": 0.13, + "grad_norm": 2.0362332613441816, + "learning_rate": 1.949493019798026e-05, + "loss": 1.0616, + "step": 5457 + }, + { + "epoch": 0.13, + "grad_norm": 2.1998179866325174, + "learning_rate": 1.9494690737093787e-05, + "loss": 0.8715, + "step": 5458 + }, + { + "epoch": 0.13, + "grad_norm": 1.643748949691601, + "learning_rate": 1.9494451220926224e-05, + "loss": 0.8486, + "step": 5459 + }, + { + "epoch": 0.13, + "grad_norm": 1.8693358138230047, + "learning_rate": 1.9494211649478952e-05, + "loss": 0.845, + "step": 5460 + }, + { + "epoch": 0.13, + "grad_norm": 1.6615876639481437, + "learning_rate": 1.949397202275338e-05, + "loss": 0.8308, + "step": 5461 + }, + { + "epoch": 0.13, + "grad_norm": 1.7038472695997218, + "learning_rate": 1.9493732340750892e-05, + "loss": 0.9864, + "step": 5462 + }, + { + "epoch": 0.13, + "grad_norm": 1.5342087393103714, + "learning_rate": 1.949349260347289e-05, + "loss": 0.921, + "step": 5463 + }, + { + "epoch": 0.13, + "grad_norm": 1.949388914788814, + "learning_rate": 1.949325281092077e-05, + "loss": 0.8769, + "step": 5464 + }, + { + "epoch": 0.13, + "grad_norm": 2.6618532808698103, + "learning_rate": 1.9493012963095923e-05, + "loss": 0.8967, + "step": 5465 + }, + { + "epoch": 0.13, + "grad_norm": 2.3319521944430703, + "learning_rate": 1.9492773059999752e-05, + "loss": 0.9886, + "step": 5466 + }, + { + "epoch": 0.13, + "grad_norm": 1.7000484236713922, + "learning_rate": 1.949253310163365e-05, + "loss": 0.9773, + "step": 5467 + }, + { + "epoch": 0.13, + "grad_norm": 1.8156734736388234, + "learning_rate": 1.9492293087999016e-05, + "loss": 0.9553, + "step": 5468 + }, + { + "epoch": 0.13, + "grad_norm": 0.7895244232453892, + "learning_rate": 1.9492053019097246e-05, + "loss": 0.716, + "step": 5469 + }, + { + "epoch": 0.13, + "grad_norm": 1.7265252986143085, + "learning_rate": 1.949181289492974e-05, + "loss": 0.8623, + "step": 5470 + }, + { + "epoch": 0.13, + "grad_norm": 1.9501513402818642, + "learning_rate": 1.9491572715497894e-05, + "loss": 0.9471, + "step": 5471 + }, + { + "epoch": 0.13, + "grad_norm": 1.92058764943706, + "learning_rate": 1.9491332480803106e-05, + "loss": 0.9317, + "step": 5472 + }, + { + "epoch": 0.13, + "grad_norm": 1.881500210806186, + "learning_rate": 1.949109219084677e-05, + "loss": 0.8743, + "step": 5473 + }, + { + "epoch": 0.13, + "grad_norm": 1.6435518791024006, + "learning_rate": 1.9490851845630297e-05, + "loss": 0.9855, + "step": 5474 + }, + { + "epoch": 0.13, + "grad_norm": 1.770910364814021, + "learning_rate": 1.9490611445155078e-05, + "loss": 0.8039, + "step": 5475 + }, + { + "epoch": 0.13, + "grad_norm": 1.7323131820333424, + "learning_rate": 1.9490370989422516e-05, + "loss": 0.9953, + "step": 5476 + }, + { + "epoch": 0.13, + "grad_norm": 1.5640199755673532, + "learning_rate": 1.9490130478434008e-05, + "loss": 0.9735, + "step": 5477 + }, + { + "epoch": 0.13, + "grad_norm": 1.6660940313357722, + "learning_rate": 1.9489889912190954e-05, + "loss": 0.9979, + "step": 5478 + }, + { + "epoch": 0.13, + "grad_norm": 1.5570356053079941, + "learning_rate": 1.948964929069476e-05, + "loss": 0.8227, + "step": 5479 + }, + { + "epoch": 0.13, + "grad_norm": 1.659572134883831, + "learning_rate": 1.948940861394682e-05, + "loss": 0.8634, + "step": 5480 + }, + { + "epoch": 0.13, + "grad_norm": 0.7980927103608756, + "learning_rate": 1.948916788194854e-05, + "loss": 0.739, + "step": 5481 + }, + { + "epoch": 0.13, + "grad_norm": 1.7764351743730191, + "learning_rate": 1.9488927094701322e-05, + "loss": 0.9523, + "step": 5482 + }, + { + "epoch": 0.13, + "grad_norm": 1.8038485752345754, + "learning_rate": 1.9488686252206564e-05, + "loss": 0.8473, + "step": 5483 + }, + { + "epoch": 0.13, + "grad_norm": 2.1546739969468405, + "learning_rate": 1.948844535446567e-05, + "loss": 0.884, + "step": 5484 + }, + { + "epoch": 0.13, + "grad_norm": 1.8958724539361402, + "learning_rate": 1.948820440148005e-05, + "loss": 0.8848, + "step": 5485 + }, + { + "epoch": 0.13, + "grad_norm": 1.7459953402249777, + "learning_rate": 1.948796339325109e-05, + "loss": 0.8528, + "step": 5486 + }, + { + "epoch": 0.13, + "grad_norm": 2.6983155513100296, + "learning_rate": 1.948772232978021e-05, + "loss": 0.9267, + "step": 5487 + }, + { + "epoch": 0.13, + "grad_norm": 3.998839089126332, + "learning_rate": 1.9487481211068807e-05, + "loss": 1.0813, + "step": 5488 + }, + { + "epoch": 0.13, + "grad_norm": 1.9213334747811353, + "learning_rate": 1.9487240037118283e-05, + "loss": 0.7958, + "step": 5489 + }, + { + "epoch": 0.13, + "grad_norm": 2.0358702066168286, + "learning_rate": 1.9486998807930043e-05, + "loss": 0.9884, + "step": 5490 + }, + { + "epoch": 0.13, + "grad_norm": 1.7557295206674894, + "learning_rate": 1.9486757523505495e-05, + "loss": 0.8322, + "step": 5491 + }, + { + "epoch": 0.13, + "grad_norm": 1.9797670687411517, + "learning_rate": 1.9486516183846036e-05, + "loss": 0.8813, + "step": 5492 + }, + { + "epoch": 0.13, + "grad_norm": 1.8934882602935197, + "learning_rate": 1.9486274788953083e-05, + "loss": 1.0586, + "step": 5493 + }, + { + "epoch": 0.13, + "grad_norm": 0.7782557966229107, + "learning_rate": 1.948603333882803e-05, + "loss": 0.7351, + "step": 5494 + }, + { + "epoch": 0.13, + "grad_norm": 0.7331199489087407, + "learning_rate": 1.9485791833472286e-05, + "loss": 0.7738, + "step": 5495 + }, + { + "epoch": 0.13, + "grad_norm": 1.9380555908901185, + "learning_rate": 1.9485550272887265e-05, + "loss": 0.9725, + "step": 5496 + }, + { + "epoch": 0.13, + "grad_norm": 1.7395072836710586, + "learning_rate": 1.9485308657074364e-05, + "loss": 0.8705, + "step": 5497 + }, + { + "epoch": 0.13, + "grad_norm": 0.8202465360805494, + "learning_rate": 1.9485066986034992e-05, + "loss": 0.7393, + "step": 5498 + }, + { + "epoch": 0.13, + "grad_norm": 3.0307778116348683, + "learning_rate": 1.948482525977056e-05, + "loss": 0.9277, + "step": 5499 + }, + { + "epoch": 0.13, + "grad_norm": 1.934145372073317, + "learning_rate": 1.948458347828247e-05, + "loss": 0.9204, + "step": 5500 + }, + { + "epoch": 0.13, + "grad_norm": 1.5937175827602337, + "learning_rate": 1.9484341641572134e-05, + "loss": 0.8536, + "step": 5501 + }, + { + "epoch": 0.13, + "grad_norm": 0.7460415128724187, + "learning_rate": 1.9484099749640956e-05, + "loss": 0.7178, + "step": 5502 + }, + { + "epoch": 0.13, + "grad_norm": 1.828206030989378, + "learning_rate": 1.9483857802490348e-05, + "loss": 0.9546, + "step": 5503 + }, + { + "epoch": 0.13, + "grad_norm": 2.8287121873839793, + "learning_rate": 1.9483615800121717e-05, + "loss": 0.8492, + "step": 5504 + }, + { + "epoch": 0.13, + "grad_norm": 0.7673060225927533, + "learning_rate": 1.9483373742536475e-05, + "loss": 0.7291, + "step": 5505 + }, + { + "epoch": 0.13, + "grad_norm": 1.8103437855375273, + "learning_rate": 1.9483131629736024e-05, + "loss": 0.9071, + "step": 5506 + }, + { + "epoch": 0.13, + "grad_norm": 1.686276597223403, + "learning_rate": 1.9482889461721782e-05, + "loss": 0.8711, + "step": 5507 + }, + { + "epoch": 0.13, + "grad_norm": 1.759712858105561, + "learning_rate": 1.948264723849515e-05, + "loss": 0.8255, + "step": 5508 + }, + { + "epoch": 0.13, + "grad_norm": 1.8912560989126042, + "learning_rate": 1.948240496005755e-05, + "loss": 1.0085, + "step": 5509 + }, + { + "epoch": 0.13, + "grad_norm": 1.6002566309286257, + "learning_rate": 1.9482162626410383e-05, + "loss": 0.9348, + "step": 5510 + }, + { + "epoch": 0.13, + "grad_norm": 0.7817963883324806, + "learning_rate": 1.9481920237555064e-05, + "loss": 0.7982, + "step": 5511 + }, + { + "epoch": 0.13, + "grad_norm": 1.7694163284637636, + "learning_rate": 1.9481677793493005e-05, + "loss": 0.9742, + "step": 5512 + }, + { + "epoch": 0.13, + "grad_norm": 1.784088921052071, + "learning_rate": 1.9481435294225614e-05, + "loss": 0.9277, + "step": 5513 + }, + { + "epoch": 0.13, + "grad_norm": 1.5436639660810532, + "learning_rate": 1.9481192739754307e-05, + "loss": 0.906, + "step": 5514 + }, + { + "epoch": 0.13, + "grad_norm": 1.6876157433010102, + "learning_rate": 1.948095013008049e-05, + "loss": 0.8847, + "step": 5515 + }, + { + "epoch": 0.13, + "grad_norm": 1.6757464144396605, + "learning_rate": 1.9480707465205582e-05, + "loss": 0.9008, + "step": 5516 + }, + { + "epoch": 0.13, + "grad_norm": 1.6723534615082183, + "learning_rate": 1.9480464745130997e-05, + "loss": 0.89, + "step": 5517 + }, + { + "epoch": 0.13, + "grad_norm": 1.9564593978170635, + "learning_rate": 1.948022196985814e-05, + "loss": 0.9555, + "step": 5518 + }, + { + "epoch": 0.13, + "grad_norm": 1.6628376535812934, + "learning_rate": 1.9479979139388432e-05, + "loss": 0.9198, + "step": 5519 + }, + { + "epoch": 0.13, + "grad_norm": 1.834261410477382, + "learning_rate": 1.9479736253723282e-05, + "loss": 0.9604, + "step": 5520 + }, + { + "epoch": 0.13, + "grad_norm": 1.7168222318085167, + "learning_rate": 1.9479493312864107e-05, + "loss": 1.0602, + "step": 5521 + }, + { + "epoch": 0.13, + "grad_norm": 1.783896884242137, + "learning_rate": 1.9479250316812323e-05, + "loss": 0.8808, + "step": 5522 + }, + { + "epoch": 0.13, + "grad_norm": 1.6703196661948931, + "learning_rate": 1.9479007265569342e-05, + "loss": 0.9258, + "step": 5523 + }, + { + "epoch": 0.13, + "grad_norm": 1.7288938933473699, + "learning_rate": 1.9478764159136578e-05, + "loss": 0.9752, + "step": 5524 + }, + { + "epoch": 0.13, + "grad_norm": 1.6634119400150003, + "learning_rate": 1.9478520997515446e-05, + "loss": 0.9461, + "step": 5525 + }, + { + "epoch": 0.13, + "grad_norm": 4.998343307016111, + "learning_rate": 1.9478277780707367e-05, + "loss": 0.9064, + "step": 5526 + }, + { + "epoch": 0.13, + "grad_norm": 2.304445854370152, + "learning_rate": 1.9478034508713753e-05, + "loss": 0.8896, + "step": 5527 + }, + { + "epoch": 0.13, + "grad_norm": 1.6065060935761744, + "learning_rate": 1.9477791181536024e-05, + "loss": 0.9889, + "step": 5528 + }, + { + "epoch": 0.13, + "grad_norm": 1.4838389895876092, + "learning_rate": 1.9477547799175592e-05, + "loss": 0.894, + "step": 5529 + }, + { + "epoch": 0.13, + "grad_norm": 1.8989183985666438, + "learning_rate": 1.9477304361633878e-05, + "loss": 0.8752, + "step": 5530 + }, + { + "epoch": 0.13, + "grad_norm": 0.9301597032196237, + "learning_rate": 1.9477060868912294e-05, + "loss": 0.7919, + "step": 5531 + }, + { + "epoch": 0.13, + "grad_norm": 2.2591478288962463, + "learning_rate": 1.9476817321012263e-05, + "loss": 0.9874, + "step": 5532 + }, + { + "epoch": 0.13, + "grad_norm": 2.2143841450883697, + "learning_rate": 1.94765737179352e-05, + "loss": 0.9008, + "step": 5533 + }, + { + "epoch": 0.13, + "grad_norm": 1.7060207088293349, + "learning_rate": 1.9476330059682528e-05, + "loss": 0.833, + "step": 5534 + }, + { + "epoch": 0.13, + "grad_norm": 1.5210214848679866, + "learning_rate": 1.9476086346255657e-05, + "loss": 1.0003, + "step": 5535 + }, + { + "epoch": 0.13, + "grad_norm": 0.7846014269305795, + "learning_rate": 1.9475842577656018e-05, + "loss": 0.7887, + "step": 5536 + }, + { + "epoch": 0.13, + "grad_norm": 1.5725471819794203, + "learning_rate": 1.947559875388502e-05, + "loss": 0.9155, + "step": 5537 + }, + { + "epoch": 0.13, + "grad_norm": 1.7264169170016823, + "learning_rate": 1.9475354874944083e-05, + "loss": 0.8656, + "step": 5538 + }, + { + "epoch": 0.13, + "grad_norm": 1.753291797228115, + "learning_rate": 1.9475110940834633e-05, + "loss": 1.0163, + "step": 5539 + }, + { + "epoch": 0.13, + "grad_norm": 2.320664688958106, + "learning_rate": 1.947486695155809e-05, + "loss": 0.9628, + "step": 5540 + }, + { + "epoch": 0.13, + "grad_norm": 2.3330419275640573, + "learning_rate": 1.947462290711587e-05, + "loss": 0.9788, + "step": 5541 + }, + { + "epoch": 0.13, + "grad_norm": 1.8880903946477006, + "learning_rate": 1.9474378807509395e-05, + "loss": 0.817, + "step": 5542 + }, + { + "epoch": 0.13, + "grad_norm": 2.95718896563869, + "learning_rate": 1.9474134652740083e-05, + "loss": 0.959, + "step": 5543 + }, + { + "epoch": 0.13, + "grad_norm": 1.5600956600484042, + "learning_rate": 1.9473890442809366e-05, + "loss": 1.0581, + "step": 5544 + }, + { + "epoch": 0.13, + "grad_norm": 2.2265161450375093, + "learning_rate": 1.9473646177718658e-05, + "loss": 0.9954, + "step": 5545 + }, + { + "epoch": 0.13, + "grad_norm": 2.101908858672013, + "learning_rate": 1.947340185746938e-05, + "loss": 0.9042, + "step": 5546 + }, + { + "epoch": 0.13, + "grad_norm": 2.9571247372658185, + "learning_rate": 1.9473157482062958e-05, + "loss": 1.1105, + "step": 5547 + }, + { + "epoch": 0.13, + "grad_norm": 1.7770571510684299, + "learning_rate": 1.9472913051500816e-05, + "loss": 0.9545, + "step": 5548 + }, + { + "epoch": 0.13, + "grad_norm": 2.120507007770714, + "learning_rate": 1.9472668565784375e-05, + "loss": 0.8927, + "step": 5549 + }, + { + "epoch": 0.13, + "grad_norm": 1.948059368608613, + "learning_rate": 1.9472424024915056e-05, + "loss": 0.9075, + "step": 5550 + }, + { + "epoch": 0.13, + "grad_norm": 1.7527353797511043, + "learning_rate": 1.9472179428894288e-05, + "loss": 0.9706, + "step": 5551 + }, + { + "epoch": 0.13, + "grad_norm": 2.473640740963955, + "learning_rate": 1.9471934777723492e-05, + "loss": 0.9232, + "step": 5552 + }, + { + "epoch": 0.13, + "grad_norm": 3.5618962017925164, + "learning_rate": 1.9471690071404096e-05, + "loss": 0.9476, + "step": 5553 + }, + { + "epoch": 0.13, + "grad_norm": 1.8725771282937445, + "learning_rate": 1.9471445309937515e-05, + "loss": 1.0202, + "step": 5554 + }, + { + "epoch": 0.13, + "grad_norm": 1.681901321324112, + "learning_rate": 1.9471200493325186e-05, + "loss": 0.8725, + "step": 5555 + }, + { + "epoch": 0.13, + "grad_norm": 1.8780934895573493, + "learning_rate": 1.9470955621568525e-05, + "loss": 0.9783, + "step": 5556 + }, + { + "epoch": 0.13, + "grad_norm": 1.753527258684672, + "learning_rate": 1.9470710694668966e-05, + "loss": 0.8807, + "step": 5557 + }, + { + "epoch": 0.13, + "grad_norm": 1.8153533441599508, + "learning_rate": 1.9470465712627928e-05, + "loss": 0.9196, + "step": 5558 + }, + { + "epoch": 0.13, + "grad_norm": 1.6368043341642968, + "learning_rate": 1.9470220675446844e-05, + "loss": 0.8872, + "step": 5559 + }, + { + "epoch": 0.13, + "grad_norm": 2.8118411842245203, + "learning_rate": 1.946997558312713e-05, + "loss": 0.9349, + "step": 5560 + }, + { + "epoch": 0.13, + "grad_norm": 2.440867192051577, + "learning_rate": 1.9469730435670227e-05, + "loss": 0.9461, + "step": 5561 + }, + { + "epoch": 0.13, + "grad_norm": 1.8660427102333117, + "learning_rate": 1.9469485233077554e-05, + "loss": 1.0098, + "step": 5562 + }, + { + "epoch": 0.13, + "grad_norm": 1.6166158810817404, + "learning_rate": 1.9469239975350538e-05, + "loss": 0.99, + "step": 5563 + }, + { + "epoch": 0.13, + "grad_norm": 2.794632022429996, + "learning_rate": 1.946899466249061e-05, + "loss": 0.846, + "step": 5564 + }, + { + "epoch": 0.13, + "grad_norm": 0.8173765260373199, + "learning_rate": 1.9468749294499196e-05, + "loss": 0.67, + "step": 5565 + }, + { + "epoch": 0.13, + "grad_norm": 0.7676959593809638, + "learning_rate": 1.9468503871377728e-05, + "loss": 0.7176, + "step": 5566 + }, + { + "epoch": 0.13, + "grad_norm": 1.7702919985441266, + "learning_rate": 1.946825839312763e-05, + "loss": 0.8898, + "step": 5567 + }, + { + "epoch": 0.13, + "grad_norm": 2.598849816536767, + "learning_rate": 1.9468012859750337e-05, + "loss": 1.0081, + "step": 5568 + }, + { + "epoch": 0.13, + "grad_norm": 1.6017908846987712, + "learning_rate": 1.9467767271247275e-05, + "loss": 0.9374, + "step": 5569 + }, + { + "epoch": 0.13, + "grad_norm": 1.6391998402118693, + "learning_rate": 1.9467521627619874e-05, + "loss": 0.8875, + "step": 5570 + }, + { + "epoch": 0.13, + "grad_norm": 2.8790938440484277, + "learning_rate": 1.9467275928869565e-05, + "loss": 0.9741, + "step": 5571 + }, + { + "epoch": 0.13, + "grad_norm": 1.619630858287463, + "learning_rate": 1.9467030174997777e-05, + "loss": 1.0555, + "step": 5572 + }, + { + "epoch": 0.13, + "grad_norm": 1.6025794220002647, + "learning_rate": 1.9466784366005943e-05, + "loss": 1.1279, + "step": 5573 + }, + { + "epoch": 0.13, + "grad_norm": 2.0477072722228606, + "learning_rate": 1.9466538501895493e-05, + "loss": 0.8845, + "step": 5574 + }, + { + "epoch": 0.13, + "grad_norm": 1.6794342144604713, + "learning_rate": 1.946629258266786e-05, + "loss": 1.0643, + "step": 5575 + }, + { + "epoch": 0.13, + "grad_norm": 2.285120221204473, + "learning_rate": 1.9466046608324472e-05, + "loss": 0.9894, + "step": 5576 + }, + { + "epoch": 0.13, + "grad_norm": 1.8110390026498306, + "learning_rate": 1.9465800578866764e-05, + "loss": 0.9525, + "step": 5577 + }, + { + "epoch": 0.13, + "grad_norm": 1.8580426922643691, + "learning_rate": 1.9465554494296173e-05, + "loss": 0.9253, + "step": 5578 + }, + { + "epoch": 0.13, + "grad_norm": 2.2206155876286404, + "learning_rate": 1.9465308354614125e-05, + "loss": 0.8539, + "step": 5579 + }, + { + "epoch": 0.13, + "grad_norm": 2.177086229346537, + "learning_rate": 1.946506215982205e-05, + "loss": 0.6997, + "step": 5580 + }, + { + "epoch": 0.13, + "grad_norm": 1.8473537065653152, + "learning_rate": 1.946481590992139e-05, + "loss": 0.9851, + "step": 5581 + }, + { + "epoch": 0.13, + "grad_norm": 2.994327072107944, + "learning_rate": 1.9464569604913575e-05, + "loss": 0.8211, + "step": 5582 + }, + { + "epoch": 0.13, + "grad_norm": 1.4407543734550787, + "learning_rate": 1.9464323244800042e-05, + "loss": 0.86, + "step": 5583 + }, + { + "epoch": 0.13, + "grad_norm": 1.654607211112, + "learning_rate": 1.946407682958222e-05, + "loss": 0.8248, + "step": 5584 + }, + { + "epoch": 0.13, + "grad_norm": 1.8532675412930968, + "learning_rate": 1.9463830359261547e-05, + "loss": 0.9122, + "step": 5585 + }, + { + "epoch": 0.13, + "grad_norm": 0.9393101750606926, + "learning_rate": 1.946358383383946e-05, + "loss": 0.7753, + "step": 5586 + }, + { + "epoch": 0.13, + "grad_norm": 1.6354920469300134, + "learning_rate": 1.9463337253317385e-05, + "loss": 0.8788, + "step": 5587 + }, + { + "epoch": 0.13, + "grad_norm": 0.794078119474391, + "learning_rate": 1.946309061769677e-05, + "loss": 0.7169, + "step": 5588 + }, + { + "epoch": 0.13, + "grad_norm": 0.7687578553795709, + "learning_rate": 1.9462843926979044e-05, + "loss": 0.7775, + "step": 5589 + }, + { + "epoch": 0.13, + "grad_norm": 1.6367553130402661, + "learning_rate": 1.9462597181165647e-05, + "loss": 0.9984, + "step": 5590 + }, + { + "epoch": 0.13, + "grad_norm": 1.6991757255723818, + "learning_rate": 1.946235038025801e-05, + "loss": 0.9255, + "step": 5591 + }, + { + "epoch": 0.13, + "grad_norm": 1.630212266340519, + "learning_rate": 1.9462103524257574e-05, + "loss": 0.9592, + "step": 5592 + }, + { + "epoch": 0.13, + "grad_norm": 1.6294635197812979, + "learning_rate": 1.9461856613165775e-05, + "loss": 0.9656, + "step": 5593 + }, + { + "epoch": 0.13, + "grad_norm": 1.6311316506660434, + "learning_rate": 1.946160964698405e-05, + "loss": 0.9171, + "step": 5594 + }, + { + "epoch": 0.13, + "grad_norm": 1.8238146620138327, + "learning_rate": 1.9461362625713845e-05, + "loss": 0.9204, + "step": 5595 + }, + { + "epoch": 0.13, + "grad_norm": 0.7707377164137268, + "learning_rate": 1.9461115549356588e-05, + "loss": 0.7367, + "step": 5596 + }, + { + "epoch": 0.13, + "grad_norm": 1.7736078544799492, + "learning_rate": 1.9460868417913718e-05, + "loss": 0.9928, + "step": 5597 + }, + { + "epoch": 0.13, + "grad_norm": 1.9763764989446524, + "learning_rate": 1.946062123138668e-05, + "loss": 0.9044, + "step": 5598 + }, + { + "epoch": 0.13, + "grad_norm": 1.9080173090881365, + "learning_rate": 1.9460373989776905e-05, + "loss": 0.9908, + "step": 5599 + }, + { + "epoch": 0.13, + "grad_norm": 1.4785057129978054, + "learning_rate": 1.9460126693085842e-05, + "loss": 0.9443, + "step": 5600 + }, + { + "epoch": 0.13, + "grad_norm": 1.8946138985631393, + "learning_rate": 1.9459879341314927e-05, + "loss": 0.8865, + "step": 5601 + }, + { + "epoch": 0.13, + "grad_norm": 2.0728442922307817, + "learning_rate": 1.9459631934465596e-05, + "loss": 0.8918, + "step": 5602 + }, + { + "epoch": 0.13, + "grad_norm": 0.8389454629610706, + "learning_rate": 1.9459384472539297e-05, + "loss": 0.7736, + "step": 5603 + }, + { + "epoch": 0.13, + "grad_norm": 1.7417227652160945, + "learning_rate": 1.9459136955537465e-05, + "loss": 0.9631, + "step": 5604 + }, + { + "epoch": 0.13, + "grad_norm": 1.94007952901365, + "learning_rate": 1.9458889383461543e-05, + "loss": 0.9717, + "step": 5605 + }, + { + "epoch": 0.13, + "grad_norm": 1.6427259504118135, + "learning_rate": 1.9458641756312973e-05, + "loss": 0.9683, + "step": 5606 + }, + { + "epoch": 0.13, + "grad_norm": 1.9370828450625788, + "learning_rate": 1.9458394074093198e-05, + "loss": 0.8726, + "step": 5607 + }, + { + "epoch": 0.13, + "grad_norm": 1.571398232597539, + "learning_rate": 1.9458146336803653e-05, + "loss": 0.8585, + "step": 5608 + }, + { + "epoch": 0.13, + "grad_norm": 1.5820467656384316, + "learning_rate": 1.945789854444579e-05, + "loss": 0.9341, + "step": 5609 + }, + { + "epoch": 0.13, + "grad_norm": 2.077112706379906, + "learning_rate": 1.9457650697021046e-05, + "loss": 0.8331, + "step": 5610 + }, + { + "epoch": 0.13, + "grad_norm": 1.8514332776193387, + "learning_rate": 1.9457402794530864e-05, + "loss": 0.982, + "step": 5611 + }, + { + "epoch": 0.13, + "grad_norm": 1.7550686338407318, + "learning_rate": 1.945715483697669e-05, + "loss": 1.0676, + "step": 5612 + }, + { + "epoch": 0.13, + "grad_norm": 1.9489642900910271, + "learning_rate": 1.9456906824359965e-05, + "loss": 0.9591, + "step": 5613 + }, + { + "epoch": 0.13, + "grad_norm": 2.058054317175835, + "learning_rate": 1.9456658756682136e-05, + "loss": 0.9963, + "step": 5614 + }, + { + "epoch": 0.13, + "grad_norm": 2.1584490888076795, + "learning_rate": 1.9456410633944645e-05, + "loss": 0.9577, + "step": 5615 + }, + { + "epoch": 0.13, + "grad_norm": 0.7721883462417571, + "learning_rate": 1.9456162456148938e-05, + "loss": 0.7187, + "step": 5616 + }, + { + "epoch": 0.13, + "grad_norm": 1.9492839022825044, + "learning_rate": 1.9455914223296458e-05, + "loss": 0.9398, + "step": 5617 + }, + { + "epoch": 0.13, + "grad_norm": 2.346342467306121, + "learning_rate": 1.9455665935388653e-05, + "loss": 0.7618, + "step": 5618 + }, + { + "epoch": 0.13, + "grad_norm": 2.7652770142730745, + "learning_rate": 1.945541759242697e-05, + "loss": 0.8462, + "step": 5619 + }, + { + "epoch": 0.13, + "grad_norm": 0.7610639551519955, + "learning_rate": 1.945516919441285e-05, + "loss": 0.779, + "step": 5620 + }, + { + "epoch": 0.13, + "grad_norm": 1.6441609231550531, + "learning_rate": 1.945492074134774e-05, + "loss": 0.8012, + "step": 5621 + }, + { + "epoch": 0.13, + "grad_norm": 2.111692002069295, + "learning_rate": 1.945467223323309e-05, + "loss": 0.9012, + "step": 5622 + }, + { + "epoch": 0.13, + "grad_norm": 1.626301773443236, + "learning_rate": 1.945442367007034e-05, + "loss": 0.8932, + "step": 5623 + }, + { + "epoch": 0.13, + "grad_norm": 1.834256743256793, + "learning_rate": 1.945417505186095e-05, + "loss": 0.8814, + "step": 5624 + }, + { + "epoch": 0.13, + "grad_norm": 1.614601743016186, + "learning_rate": 1.9453926378606354e-05, + "loss": 0.8935, + "step": 5625 + }, + { + "epoch": 0.13, + "grad_norm": 2.508492330176203, + "learning_rate": 1.9453677650308007e-05, + "loss": 0.9789, + "step": 5626 + }, + { + "epoch": 0.13, + "grad_norm": 1.7786379533051233, + "learning_rate": 1.945342886696736e-05, + "loss": 0.9372, + "step": 5627 + }, + { + "epoch": 0.13, + "grad_norm": 2.1263598084923965, + "learning_rate": 1.945318002858585e-05, + "loss": 0.9461, + "step": 5628 + }, + { + "epoch": 0.13, + "grad_norm": 1.952475200608148, + "learning_rate": 1.9452931135164936e-05, + "loss": 0.8461, + "step": 5629 + }, + { + "epoch": 0.13, + "grad_norm": 2.1911447564051567, + "learning_rate": 1.9452682186706067e-05, + "loss": 0.9953, + "step": 5630 + }, + { + "epoch": 0.13, + "grad_norm": 1.8404640641334677, + "learning_rate": 1.945243318321069e-05, + "loss": 0.98, + "step": 5631 + }, + { + "epoch": 0.13, + "grad_norm": 1.763065950278773, + "learning_rate": 1.9452184124680247e-05, + "loss": 0.9802, + "step": 5632 + }, + { + "epoch": 0.13, + "grad_norm": 2.0489464991322834, + "learning_rate": 1.94519350111162e-05, + "loss": 0.8182, + "step": 5633 + }, + { + "epoch": 0.13, + "grad_norm": 2.3057906934579053, + "learning_rate": 1.9451685842519997e-05, + "loss": 0.819, + "step": 5634 + }, + { + "epoch": 0.13, + "grad_norm": 1.7768396439166037, + "learning_rate": 1.9451436618893086e-05, + "loss": 0.8702, + "step": 5635 + }, + { + "epoch": 0.13, + "grad_norm": 1.9510553080124287, + "learning_rate": 1.9451187340236918e-05, + "loss": 0.84, + "step": 5636 + }, + { + "epoch": 0.13, + "grad_norm": 1.8530926538192378, + "learning_rate": 1.9450938006552943e-05, + "loss": 0.8272, + "step": 5637 + }, + { + "epoch": 0.13, + "grad_norm": 2.1306928782720136, + "learning_rate": 1.945068861784262e-05, + "loss": 0.968, + "step": 5638 + }, + { + "epoch": 0.13, + "grad_norm": 1.6319705004238534, + "learning_rate": 1.9450439174107388e-05, + "loss": 0.89, + "step": 5639 + }, + { + "epoch": 0.13, + "grad_norm": 1.8883086726593596, + "learning_rate": 1.9450189675348712e-05, + "loss": 1.0238, + "step": 5640 + }, + { + "epoch": 0.13, + "grad_norm": 1.719821769365929, + "learning_rate": 1.944994012156804e-05, + "loss": 0.895, + "step": 5641 + }, + { + "epoch": 0.13, + "grad_norm": 0.7764186851048218, + "learning_rate": 1.9449690512766825e-05, + "loss": 0.7836, + "step": 5642 + }, + { + "epoch": 0.13, + "grad_norm": 1.6807102157584177, + "learning_rate": 1.944944084894652e-05, + "loss": 0.9731, + "step": 5643 + }, + { + "epoch": 0.13, + "grad_norm": 2.1216678260596806, + "learning_rate": 1.944919113010858e-05, + "loss": 0.8061, + "step": 5644 + }, + { + "epoch": 0.13, + "grad_norm": 1.524137778927005, + "learning_rate": 1.9448941356254453e-05, + "loss": 0.9264, + "step": 5645 + }, + { + "epoch": 0.13, + "grad_norm": 2.291585328406027, + "learning_rate": 1.94486915273856e-05, + "loss": 0.9967, + "step": 5646 + }, + { + "epoch": 0.13, + "grad_norm": 0.7940924600743445, + "learning_rate": 1.9448441643503473e-05, + "loss": 0.7707, + "step": 5647 + }, + { + "epoch": 0.13, + "grad_norm": 1.8572871200392878, + "learning_rate": 1.944819170460953e-05, + "loss": 1.0956, + "step": 5648 + }, + { + "epoch": 0.13, + "grad_norm": 1.7611278568688633, + "learning_rate": 1.9447941710705223e-05, + "loss": 0.9421, + "step": 5649 + }, + { + "epoch": 0.13, + "grad_norm": 2.874281896569941, + "learning_rate": 1.9447691661792007e-05, + "loss": 0.833, + "step": 5650 + }, + { + "epoch": 0.13, + "grad_norm": 1.487649163804734, + "learning_rate": 1.944744155787134e-05, + "loss": 1.1076, + "step": 5651 + }, + { + "epoch": 0.13, + "grad_norm": 1.7976002158913345, + "learning_rate": 1.944719139894468e-05, + "loss": 0.8644, + "step": 5652 + }, + { + "epoch": 0.13, + "grad_norm": 1.7058808417473112, + "learning_rate": 1.9446941185013474e-05, + "loss": 0.9312, + "step": 5653 + }, + { + "epoch": 0.13, + "grad_norm": 0.7782242289673382, + "learning_rate": 1.944669091607919e-05, + "loss": 0.7261, + "step": 5654 + }, + { + "epoch": 0.13, + "grad_norm": 1.6316487358249325, + "learning_rate": 1.944644059214328e-05, + "loss": 0.9945, + "step": 5655 + }, + { + "epoch": 0.13, + "grad_norm": 1.9277218294043434, + "learning_rate": 1.94461902132072e-05, + "loss": 0.831, + "step": 5656 + }, + { + "epoch": 0.13, + "grad_norm": 1.5218956936357921, + "learning_rate": 1.9445939779272415e-05, + "loss": 0.9995, + "step": 5657 + }, + { + "epoch": 0.13, + "grad_norm": 0.7513764442038993, + "learning_rate": 1.9445689290340372e-05, + "loss": 0.7848, + "step": 5658 + }, + { + "epoch": 0.13, + "grad_norm": 1.4595892253180889, + "learning_rate": 1.944543874641254e-05, + "loss": 0.9062, + "step": 5659 + }, + { + "epoch": 0.13, + "grad_norm": 1.977832978314693, + "learning_rate": 1.9445188147490373e-05, + "loss": 0.9399, + "step": 5660 + }, + { + "epoch": 0.13, + "grad_norm": 2.264632491080904, + "learning_rate": 1.9444937493575326e-05, + "loss": 1.006, + "step": 5661 + }, + { + "epoch": 0.13, + "grad_norm": 1.857058821033364, + "learning_rate": 1.9444686784668868e-05, + "loss": 0.903, + "step": 5662 + }, + { + "epoch": 0.13, + "grad_norm": 0.7902126639654901, + "learning_rate": 1.944443602077245e-05, + "loss": 0.73, + "step": 5663 + }, + { + "epoch": 0.13, + "grad_norm": 1.8021147703245752, + "learning_rate": 1.9444185201887536e-05, + "loss": 0.8647, + "step": 5664 + }, + { + "epoch": 0.13, + "grad_norm": 0.7883965295192273, + "learning_rate": 1.9443934328015587e-05, + "loss": 0.7473, + "step": 5665 + }, + { + "epoch": 0.13, + "grad_norm": 1.759460564561498, + "learning_rate": 1.944368339915806e-05, + "loss": 0.8287, + "step": 5666 + }, + { + "epoch": 0.13, + "grad_norm": 1.5779155519402759, + "learning_rate": 1.9443432415316424e-05, + "loss": 0.8634, + "step": 5667 + }, + { + "epoch": 0.13, + "grad_norm": 1.597350157785971, + "learning_rate": 1.944318137649213e-05, + "loss": 1.0445, + "step": 5668 + }, + { + "epoch": 0.13, + "grad_norm": 2.1397411930619743, + "learning_rate": 1.9442930282686647e-05, + "loss": 0.9908, + "step": 5669 + }, + { + "epoch": 0.13, + "grad_norm": 1.5163852488028597, + "learning_rate": 1.9442679133901433e-05, + "loss": 0.9799, + "step": 5670 + }, + { + "epoch": 0.13, + "grad_norm": 1.6067447594144728, + "learning_rate": 1.9442427930137948e-05, + "loss": 0.913, + "step": 5671 + }, + { + "epoch": 0.13, + "grad_norm": 1.6686371951825705, + "learning_rate": 1.9442176671397663e-05, + "loss": 0.9808, + "step": 5672 + }, + { + "epoch": 0.13, + "grad_norm": 1.7065017612848097, + "learning_rate": 1.9441925357682033e-05, + "loss": 0.9159, + "step": 5673 + }, + { + "epoch": 0.13, + "grad_norm": 2.045070908663627, + "learning_rate": 1.9441673988992525e-05, + "loss": 0.8811, + "step": 5674 + }, + { + "epoch": 0.13, + "grad_norm": 1.7486946490079842, + "learning_rate": 1.9441422565330606e-05, + "loss": 0.9502, + "step": 5675 + }, + { + "epoch": 0.13, + "grad_norm": 1.6029229582572917, + "learning_rate": 1.9441171086697732e-05, + "loss": 0.8546, + "step": 5676 + }, + { + "epoch": 0.13, + "grad_norm": 1.627932717823064, + "learning_rate": 1.944091955309537e-05, + "loss": 0.9818, + "step": 5677 + }, + { + "epoch": 0.13, + "grad_norm": 1.7486741582606655, + "learning_rate": 1.9440667964524987e-05, + "loss": 0.8167, + "step": 5678 + }, + { + "epoch": 0.13, + "grad_norm": 1.7084460126449272, + "learning_rate": 1.9440416320988046e-05, + "loss": 0.8951, + "step": 5679 + }, + { + "epoch": 0.13, + "grad_norm": 1.5762629135540747, + "learning_rate": 1.9440164622486013e-05, + "loss": 0.9413, + "step": 5680 + }, + { + "epoch": 0.13, + "grad_norm": 1.5913953265145058, + "learning_rate": 1.9439912869020353e-05, + "loss": 1.0678, + "step": 5681 + }, + { + "epoch": 0.13, + "grad_norm": 1.7391026327995562, + "learning_rate": 1.943966106059253e-05, + "loss": 0.9541, + "step": 5682 + }, + { + "epoch": 0.13, + "grad_norm": 0.8034830600668424, + "learning_rate": 1.9439409197204012e-05, + "loss": 0.7653, + "step": 5683 + }, + { + "epoch": 0.13, + "grad_norm": 1.9373341698674171, + "learning_rate": 1.9439157278856268e-05, + "loss": 0.9967, + "step": 5684 + }, + { + "epoch": 0.13, + "grad_norm": 1.9679276071568579, + "learning_rate": 1.9438905305550756e-05, + "loss": 0.8143, + "step": 5685 + }, + { + "epoch": 0.13, + "grad_norm": 1.592258027863197, + "learning_rate": 1.9438653277288953e-05, + "loss": 0.9696, + "step": 5686 + }, + { + "epoch": 0.13, + "grad_norm": 1.95841388164575, + "learning_rate": 1.9438401194072324e-05, + "loss": 0.8858, + "step": 5687 + }, + { + "epoch": 0.13, + "grad_norm": 1.8034273621980739, + "learning_rate": 1.9438149055902335e-05, + "loss": 0.9233, + "step": 5688 + }, + { + "epoch": 0.13, + "grad_norm": 1.8693001768658706, + "learning_rate": 1.943789686278045e-05, + "loss": 0.8727, + "step": 5689 + }, + { + "epoch": 0.13, + "grad_norm": 1.5182680228748628, + "learning_rate": 1.9437644614708143e-05, + "loss": 1.0014, + "step": 5690 + }, + { + "epoch": 0.13, + "grad_norm": 2.2429068474571743, + "learning_rate": 1.9437392311686884e-05, + "loss": 0.8478, + "step": 5691 + }, + { + "epoch": 0.13, + "grad_norm": 1.7315368107257325, + "learning_rate": 1.9437139953718137e-05, + "loss": 0.96, + "step": 5692 + }, + { + "epoch": 0.13, + "grad_norm": 2.2585236298435056, + "learning_rate": 1.9436887540803372e-05, + "loss": 0.8449, + "step": 5693 + }, + { + "epoch": 0.13, + "grad_norm": 2.2303914117369943, + "learning_rate": 1.943663507294406e-05, + "loss": 0.8996, + "step": 5694 + }, + { + "epoch": 0.13, + "grad_norm": 1.5800205009378832, + "learning_rate": 1.9436382550141675e-05, + "loss": 0.8711, + "step": 5695 + }, + { + "epoch": 0.13, + "grad_norm": 2.1387123116062776, + "learning_rate": 1.943612997239768e-05, + "loss": 0.9544, + "step": 5696 + }, + { + "epoch": 0.13, + "grad_norm": 1.6684803367301047, + "learning_rate": 1.943587733971355e-05, + "loss": 0.9319, + "step": 5697 + }, + { + "epoch": 0.13, + "grad_norm": 1.6455041396647647, + "learning_rate": 1.9435624652090754e-05, + "loss": 0.8827, + "step": 5698 + }, + { + "epoch": 0.13, + "grad_norm": 1.6490897286391282, + "learning_rate": 1.9435371909530766e-05, + "loss": 0.9328, + "step": 5699 + }, + { + "epoch": 0.13, + "grad_norm": 2.344855377495478, + "learning_rate": 1.9435119112035054e-05, + "loss": 0.9577, + "step": 5700 + }, + { + "epoch": 0.13, + "grad_norm": 0.7820838355701548, + "learning_rate": 1.943486625960509e-05, + "loss": 0.7115, + "step": 5701 + }, + { + "epoch": 0.13, + "grad_norm": 1.8057491880469692, + "learning_rate": 1.943461335224235e-05, + "loss": 0.8955, + "step": 5702 + }, + { + "epoch": 0.13, + "grad_norm": 0.8204058629504718, + "learning_rate": 1.9434360389948303e-05, + "loss": 0.785, + "step": 5703 + }, + { + "epoch": 0.13, + "grad_norm": 1.744281355049709, + "learning_rate": 1.9434107372724424e-05, + "loss": 1.0047, + "step": 5704 + }, + { + "epoch": 0.13, + "grad_norm": 1.546801324872568, + "learning_rate": 1.9433854300572184e-05, + "loss": 0.7936, + "step": 5705 + }, + { + "epoch": 0.13, + "grad_norm": 2.045023393507789, + "learning_rate": 1.943360117349306e-05, + "loss": 0.8944, + "step": 5706 + }, + { + "epoch": 0.13, + "grad_norm": 1.7575464967620305, + "learning_rate": 1.943334799148852e-05, + "loss": 0.9787, + "step": 5707 + }, + { + "epoch": 0.13, + "grad_norm": 1.7545380658048566, + "learning_rate": 1.9433094754560042e-05, + "loss": 0.9411, + "step": 5708 + }, + { + "epoch": 0.13, + "grad_norm": 1.7123513141734756, + "learning_rate": 1.94328414627091e-05, + "loss": 0.9765, + "step": 5709 + }, + { + "epoch": 0.13, + "grad_norm": 2.6626576405607847, + "learning_rate": 1.943258811593717e-05, + "loss": 0.9732, + "step": 5710 + }, + { + "epoch": 0.13, + "grad_norm": 1.6784502803336645, + "learning_rate": 1.9432334714245723e-05, + "loss": 0.9821, + "step": 5711 + }, + { + "epoch": 0.13, + "grad_norm": 0.7713566085979705, + "learning_rate": 1.943208125763624e-05, + "loss": 0.7529, + "step": 5712 + }, + { + "epoch": 0.13, + "grad_norm": 1.9486116390336343, + "learning_rate": 1.943182774611019e-05, + "loss": 1.0135, + "step": 5713 + }, + { + "epoch": 0.13, + "grad_norm": 2.0683455473375267, + "learning_rate": 1.943157417966906e-05, + "loss": 0.7989, + "step": 5714 + }, + { + "epoch": 0.13, + "grad_norm": 1.6671251207050704, + "learning_rate": 1.9431320558314313e-05, + "loss": 0.8814, + "step": 5715 + }, + { + "epoch": 0.13, + "grad_norm": 1.8790646116128267, + "learning_rate": 1.9431066882047434e-05, + "loss": 0.9798, + "step": 5716 + }, + { + "epoch": 0.13, + "grad_norm": 1.6278711417425404, + "learning_rate": 1.9430813150869896e-05, + "loss": 1.0309, + "step": 5717 + }, + { + "epoch": 0.13, + "grad_norm": 1.8658735018174994, + "learning_rate": 1.943055936478318e-05, + "loss": 0.8654, + "step": 5718 + }, + { + "epoch": 0.13, + "grad_norm": 1.7730919708385164, + "learning_rate": 1.943030552378876e-05, + "loss": 0.9605, + "step": 5719 + }, + { + "epoch": 0.13, + "grad_norm": 1.9104051620527407, + "learning_rate": 1.9430051627888117e-05, + "loss": 0.7972, + "step": 5720 + }, + { + "epoch": 0.13, + "grad_norm": 1.9764256476214157, + "learning_rate": 1.942979767708273e-05, + "loss": 0.921, + "step": 5721 + }, + { + "epoch": 0.13, + "grad_norm": 1.6710683991643869, + "learning_rate": 1.942954367137407e-05, + "loss": 0.8503, + "step": 5722 + }, + { + "epoch": 0.13, + "grad_norm": 1.7105370194810705, + "learning_rate": 1.9429289610763624e-05, + "loss": 0.9535, + "step": 5723 + }, + { + "epoch": 0.13, + "grad_norm": 1.6100356399421571, + "learning_rate": 1.9429035495252872e-05, + "loss": 0.942, + "step": 5724 + }, + { + "epoch": 0.13, + "grad_norm": 0.735219450473059, + "learning_rate": 1.9428781324843285e-05, + "loss": 0.6977, + "step": 5725 + }, + { + "epoch": 0.13, + "grad_norm": 1.8265027616917258, + "learning_rate": 1.942852709953635e-05, + "loss": 0.9305, + "step": 5726 + }, + { + "epoch": 0.13, + "grad_norm": 1.9652617958354872, + "learning_rate": 1.9428272819333545e-05, + "loss": 0.99, + "step": 5727 + }, + { + "epoch": 0.13, + "grad_norm": 1.816159876398867, + "learning_rate": 1.9428018484236353e-05, + "loss": 0.9502, + "step": 5728 + }, + { + "epoch": 0.13, + "grad_norm": 1.769503222354996, + "learning_rate": 1.9427764094246248e-05, + "loss": 1.0381, + "step": 5729 + }, + { + "epoch": 0.13, + "grad_norm": 0.7655071312568998, + "learning_rate": 1.942750964936472e-05, + "loss": 0.7643, + "step": 5730 + }, + { + "epoch": 0.14, + "grad_norm": 0.7936086413717234, + "learning_rate": 1.9427255149593245e-05, + "loss": 0.7506, + "step": 5731 + }, + { + "epoch": 0.14, + "grad_norm": 1.6122088641750054, + "learning_rate": 1.9427000594933305e-05, + "loss": 0.8431, + "step": 5732 + }, + { + "epoch": 0.14, + "grad_norm": 2.115561984721819, + "learning_rate": 1.9426745985386385e-05, + "loss": 0.9372, + "step": 5733 + }, + { + "epoch": 0.14, + "grad_norm": 1.5393404620748414, + "learning_rate": 1.9426491320953963e-05, + "loss": 0.9973, + "step": 5734 + }, + { + "epoch": 0.14, + "grad_norm": 0.811578334139072, + "learning_rate": 1.9426236601637523e-05, + "loss": 0.7507, + "step": 5735 + }, + { + "epoch": 0.14, + "grad_norm": 1.7400618622117658, + "learning_rate": 1.9425981827438552e-05, + "loss": 0.8309, + "step": 5736 + }, + { + "epoch": 0.14, + "grad_norm": 1.9621704602253227, + "learning_rate": 1.942572699835853e-05, + "loss": 0.846, + "step": 5737 + }, + { + "epoch": 0.14, + "grad_norm": 1.60756622624242, + "learning_rate": 1.942547211439894e-05, + "loss": 0.9965, + "step": 5738 + }, + { + "epoch": 0.14, + "grad_norm": 1.6652046334539956, + "learning_rate": 1.9425217175561268e-05, + "loss": 0.8869, + "step": 5739 + }, + { + "epoch": 0.14, + "grad_norm": 2.2703675914350416, + "learning_rate": 1.9424962181847e-05, + "loss": 0.9083, + "step": 5740 + }, + { + "epoch": 0.14, + "grad_norm": 1.6845949693271274, + "learning_rate": 1.9424707133257615e-05, + "loss": 0.8492, + "step": 5741 + }, + { + "epoch": 0.14, + "grad_norm": 1.9343292505506275, + "learning_rate": 1.9424452029794603e-05, + "loss": 0.9282, + "step": 5742 + }, + { + "epoch": 0.14, + "grad_norm": 1.6178912506985221, + "learning_rate": 1.9424196871459448e-05, + "loss": 0.7911, + "step": 5743 + }, + { + "epoch": 0.14, + "grad_norm": 0.8445109135863259, + "learning_rate": 1.9423941658253634e-05, + "loss": 0.7381, + "step": 5744 + }, + { + "epoch": 0.14, + "grad_norm": 1.7911606536249984, + "learning_rate": 1.942368639017865e-05, + "loss": 0.9342, + "step": 5745 + }, + { + "epoch": 0.14, + "grad_norm": 1.5846396555862816, + "learning_rate": 1.9423431067235977e-05, + "loss": 0.7364, + "step": 5746 + }, + { + "epoch": 0.14, + "grad_norm": 1.6820639519545628, + "learning_rate": 1.9423175689427105e-05, + "loss": 0.9792, + "step": 5747 + }, + { + "epoch": 0.14, + "grad_norm": 2.1207377320395264, + "learning_rate": 1.9422920256753523e-05, + "loss": 0.8226, + "step": 5748 + }, + { + "epoch": 0.14, + "grad_norm": 1.570060752836287, + "learning_rate": 1.9422664769216716e-05, + "loss": 1.0906, + "step": 5749 + }, + { + "epoch": 0.14, + "grad_norm": 1.4823050283090062, + "learning_rate": 1.9422409226818175e-05, + "loss": 1.0563, + "step": 5750 + }, + { + "epoch": 0.14, + "grad_norm": 0.8073323163915219, + "learning_rate": 1.9422153629559376e-05, + "loss": 0.7633, + "step": 5751 + }, + { + "epoch": 0.14, + "grad_norm": 1.621584366113555, + "learning_rate": 1.942189797744182e-05, + "loss": 0.9371, + "step": 5752 + }, + { + "epoch": 0.14, + "grad_norm": 0.754385748059027, + "learning_rate": 1.942164227046699e-05, + "loss": 0.7498, + "step": 5753 + }, + { + "epoch": 0.14, + "grad_norm": 0.7833215514789809, + "learning_rate": 1.9421386508636378e-05, + "loss": 0.7331, + "step": 5754 + }, + { + "epoch": 0.14, + "grad_norm": 1.6929478270340657, + "learning_rate": 1.9421130691951472e-05, + "loss": 1.0284, + "step": 5755 + }, + { + "epoch": 0.14, + "grad_norm": 2.693875954024997, + "learning_rate": 1.942087482041376e-05, + "loss": 0.9443, + "step": 5756 + }, + { + "epoch": 0.14, + "grad_norm": 1.5100441458865792, + "learning_rate": 1.9420618894024727e-05, + "loss": 0.8988, + "step": 5757 + }, + { + "epoch": 0.14, + "grad_norm": 1.7524027077603634, + "learning_rate": 1.942036291278587e-05, + "loss": 0.9731, + "step": 5758 + }, + { + "epoch": 0.14, + "grad_norm": 2.2454870682271886, + "learning_rate": 1.942010687669868e-05, + "loss": 0.8524, + "step": 5759 + }, + { + "epoch": 0.14, + "grad_norm": 2.3553678114116834, + "learning_rate": 1.9419850785764645e-05, + "loss": 0.8444, + "step": 5760 + }, + { + "epoch": 0.14, + "grad_norm": 1.9592661241385914, + "learning_rate": 1.9419594639985257e-05, + "loss": 0.9847, + "step": 5761 + }, + { + "epoch": 0.14, + "grad_norm": 1.8597739100985293, + "learning_rate": 1.9419338439362007e-05, + "loss": 0.9481, + "step": 5762 + }, + { + "epoch": 0.14, + "grad_norm": 1.6010861624110517, + "learning_rate": 1.9419082183896385e-05, + "loss": 0.894, + "step": 5763 + }, + { + "epoch": 0.14, + "grad_norm": 0.7933785420440697, + "learning_rate": 1.9418825873589883e-05, + "loss": 0.7112, + "step": 5764 + }, + { + "epoch": 0.14, + "grad_norm": 1.8630498144081242, + "learning_rate": 1.9418569508443998e-05, + "loss": 0.9105, + "step": 5765 + }, + { + "epoch": 0.14, + "grad_norm": 1.4864838040029626, + "learning_rate": 1.941831308846022e-05, + "loss": 0.941, + "step": 5766 + }, + { + "epoch": 0.14, + "grad_norm": 1.7099485246089603, + "learning_rate": 1.9418056613640038e-05, + "loss": 0.9448, + "step": 5767 + }, + { + "epoch": 0.14, + "grad_norm": 1.9330984738108454, + "learning_rate": 1.941780008398495e-05, + "loss": 0.925, + "step": 5768 + }, + { + "epoch": 0.14, + "grad_norm": 1.9834206503480492, + "learning_rate": 1.941754349949645e-05, + "loss": 0.9505, + "step": 5769 + }, + { + "epoch": 0.14, + "grad_norm": 3.785085450983868, + "learning_rate": 1.941728686017603e-05, + "loss": 0.9107, + "step": 5770 + }, + { + "epoch": 0.14, + "grad_norm": 1.776439796908757, + "learning_rate": 1.9417030166025182e-05, + "loss": 0.8718, + "step": 5771 + }, + { + "epoch": 0.14, + "grad_norm": 0.8274554566309859, + "learning_rate": 1.9416773417045406e-05, + "loss": 0.775, + "step": 5772 + }, + { + "epoch": 0.14, + "grad_norm": 1.653165748318825, + "learning_rate": 1.9416516613238193e-05, + "loss": 1.0372, + "step": 5773 + }, + { + "epoch": 0.14, + "grad_norm": 1.8021743565900934, + "learning_rate": 1.9416259754605034e-05, + "loss": 0.8988, + "step": 5774 + }, + { + "epoch": 0.14, + "grad_norm": 1.5339179895969626, + "learning_rate": 1.9416002841147438e-05, + "loss": 0.9206, + "step": 5775 + }, + { + "epoch": 0.14, + "grad_norm": 1.715856478466814, + "learning_rate": 1.9415745872866887e-05, + "loss": 0.9207, + "step": 5776 + }, + { + "epoch": 0.14, + "grad_norm": 1.8073296240596768, + "learning_rate": 1.9415488849764884e-05, + "loss": 0.867, + "step": 5777 + }, + { + "epoch": 0.14, + "grad_norm": 5.859732248958886, + "learning_rate": 1.9415231771842925e-05, + "loss": 1.0054, + "step": 5778 + }, + { + "epoch": 0.14, + "grad_norm": 2.029427710334952, + "learning_rate": 1.9414974639102505e-05, + "loss": 0.9267, + "step": 5779 + }, + { + "epoch": 0.14, + "grad_norm": 1.6404467734248582, + "learning_rate": 1.941471745154512e-05, + "loss": 1.024, + "step": 5780 + }, + { + "epoch": 0.14, + "grad_norm": 1.7108588168616778, + "learning_rate": 1.941446020917227e-05, + "loss": 0.9406, + "step": 5781 + }, + { + "epoch": 0.14, + "grad_norm": 1.456741840806907, + "learning_rate": 1.9414202911985453e-05, + "loss": 0.8602, + "step": 5782 + }, + { + "epoch": 0.14, + "grad_norm": 1.812061437127353, + "learning_rate": 1.9413945559986164e-05, + "loss": 0.8618, + "step": 5783 + }, + { + "epoch": 0.14, + "grad_norm": 1.7005619949520618, + "learning_rate": 1.9413688153175907e-05, + "loss": 0.922, + "step": 5784 + }, + { + "epoch": 0.14, + "grad_norm": 1.5999539443982844, + "learning_rate": 1.9413430691556175e-05, + "loss": 1.002, + "step": 5785 + }, + { + "epoch": 0.14, + "grad_norm": 2.3683251168848276, + "learning_rate": 1.9413173175128472e-05, + "loss": 0.8305, + "step": 5786 + }, + { + "epoch": 0.14, + "grad_norm": 1.7025008211636279, + "learning_rate": 1.9412915603894294e-05, + "loss": 0.8919, + "step": 5787 + }, + { + "epoch": 0.14, + "grad_norm": 1.6861466135451724, + "learning_rate": 1.941265797785514e-05, + "loss": 0.9105, + "step": 5788 + }, + { + "epoch": 0.14, + "grad_norm": 1.737757904218016, + "learning_rate": 1.941240029701251e-05, + "loss": 0.8642, + "step": 5789 + }, + { + "epoch": 0.14, + "grad_norm": 1.5584500671091364, + "learning_rate": 1.9412142561367906e-05, + "loss": 0.94, + "step": 5790 + }, + { + "epoch": 0.14, + "grad_norm": 1.8783007161383656, + "learning_rate": 1.941188477092283e-05, + "loss": 0.9333, + "step": 5791 + }, + { + "epoch": 0.14, + "grad_norm": 1.904992293603824, + "learning_rate": 1.941162692567878e-05, + "loss": 0.794, + "step": 5792 + }, + { + "epoch": 0.14, + "grad_norm": 1.8223953702218076, + "learning_rate": 1.941136902563726e-05, + "loss": 0.9244, + "step": 5793 + }, + { + "epoch": 0.14, + "grad_norm": 1.5327592189650372, + "learning_rate": 1.941111107079977e-05, + "loss": 0.9481, + "step": 5794 + }, + { + "epoch": 0.14, + "grad_norm": 1.5916672287952385, + "learning_rate": 1.9410853061167806e-05, + "loss": 0.9686, + "step": 5795 + }, + { + "epoch": 0.14, + "grad_norm": 3.658683138894266, + "learning_rate": 1.9410594996742884e-05, + "loss": 1.082, + "step": 5796 + }, + { + "epoch": 0.14, + "grad_norm": 1.5939755930561317, + "learning_rate": 1.9410336877526494e-05, + "loss": 0.9631, + "step": 5797 + }, + { + "epoch": 0.14, + "grad_norm": 1.6275589859969968, + "learning_rate": 1.9410078703520147e-05, + "loss": 1.0382, + "step": 5798 + }, + { + "epoch": 0.14, + "grad_norm": 1.571030736183376, + "learning_rate": 1.9409820474725338e-05, + "loss": 0.9143, + "step": 5799 + }, + { + "epoch": 0.14, + "grad_norm": 1.7517327116977541, + "learning_rate": 1.9409562191143577e-05, + "loss": 0.9008, + "step": 5800 + }, + { + "epoch": 0.14, + "grad_norm": 1.6749919099607367, + "learning_rate": 1.9409303852776365e-05, + "loss": 0.9029, + "step": 5801 + }, + { + "epoch": 0.14, + "grad_norm": 2.0134274822821006, + "learning_rate": 1.940904545962521e-05, + "loss": 0.9024, + "step": 5802 + }, + { + "epoch": 0.14, + "grad_norm": 1.9796047913652606, + "learning_rate": 1.940878701169161e-05, + "loss": 0.7718, + "step": 5803 + }, + { + "epoch": 0.14, + "grad_norm": 0.8097293397962755, + "learning_rate": 1.9408528508977076e-05, + "loss": 0.7181, + "step": 5804 + }, + { + "epoch": 0.14, + "grad_norm": 2.0085507793069852, + "learning_rate": 1.940826995148311e-05, + "loss": 0.8793, + "step": 5805 + }, + { + "epoch": 0.14, + "grad_norm": 1.5093157060922469, + "learning_rate": 1.9408011339211215e-05, + "loss": 1.0191, + "step": 5806 + }, + { + "epoch": 0.14, + "grad_norm": 1.785399871307333, + "learning_rate": 1.94077526721629e-05, + "loss": 0.8489, + "step": 5807 + }, + { + "epoch": 0.14, + "grad_norm": 0.7771147642746192, + "learning_rate": 1.940749395033967e-05, + "loss": 0.7129, + "step": 5808 + }, + { + "epoch": 0.14, + "grad_norm": 1.6401195572248812, + "learning_rate": 1.9407235173743038e-05, + "loss": 0.9683, + "step": 5809 + }, + { + "epoch": 0.14, + "grad_norm": 1.5505627559031347, + "learning_rate": 1.94069763423745e-05, + "loss": 1.0787, + "step": 5810 + }, + { + "epoch": 0.14, + "grad_norm": 1.7868945233150229, + "learning_rate": 1.9406717456235566e-05, + "loss": 0.9466, + "step": 5811 + }, + { + "epoch": 0.14, + "grad_norm": 1.7163677495519707, + "learning_rate": 1.9406458515327747e-05, + "loss": 1.0326, + "step": 5812 + }, + { + "epoch": 0.14, + "grad_norm": 1.7403590328469967, + "learning_rate": 1.940619951965255e-05, + "loss": 0.9314, + "step": 5813 + }, + { + "epoch": 0.14, + "grad_norm": 1.600666980127437, + "learning_rate": 1.9405940469211478e-05, + "loss": 0.8652, + "step": 5814 + }, + { + "epoch": 0.14, + "grad_norm": 1.5010144048063985, + "learning_rate": 1.9405681364006047e-05, + "loss": 0.894, + "step": 5815 + }, + { + "epoch": 0.14, + "grad_norm": 0.801371070245817, + "learning_rate": 1.9405422204037758e-05, + "loss": 0.7643, + "step": 5816 + }, + { + "epoch": 0.14, + "grad_norm": 1.703125993216787, + "learning_rate": 1.940516298930812e-05, + "loss": 0.9565, + "step": 5817 + }, + { + "epoch": 0.14, + "grad_norm": 2.4703973642787984, + "learning_rate": 1.940490371981865e-05, + "loss": 0.9265, + "step": 5818 + }, + { + "epoch": 0.14, + "grad_norm": 2.6212327432470333, + "learning_rate": 1.9404644395570852e-05, + "loss": 0.9761, + "step": 5819 + }, + { + "epoch": 0.14, + "grad_norm": 0.8406240215824008, + "learning_rate": 1.940438501656624e-05, + "loss": 0.7443, + "step": 5820 + }, + { + "epoch": 0.14, + "grad_norm": 1.5913978262964183, + "learning_rate": 1.9404125582806316e-05, + "loss": 0.9907, + "step": 5821 + }, + { + "epoch": 0.14, + "grad_norm": 1.7656985801865082, + "learning_rate": 1.9403866094292598e-05, + "loss": 0.8612, + "step": 5822 + }, + { + "epoch": 0.14, + "grad_norm": 2.5876361958471676, + "learning_rate": 1.9403606551026596e-05, + "loss": 0.9129, + "step": 5823 + }, + { + "epoch": 0.14, + "grad_norm": 4.505774423163642, + "learning_rate": 1.9403346953009817e-05, + "loss": 0.9009, + "step": 5824 + }, + { + "epoch": 0.14, + "grad_norm": 1.6253017630317963, + "learning_rate": 1.9403087300243776e-05, + "loss": 0.8924, + "step": 5825 + }, + { + "epoch": 0.14, + "grad_norm": 2.1929291416678627, + "learning_rate": 1.9402827592729984e-05, + "loss": 0.8692, + "step": 5826 + }, + { + "epoch": 0.14, + "grad_norm": 2.534801250968476, + "learning_rate": 1.9402567830469952e-05, + "loss": 0.9614, + "step": 5827 + }, + { + "epoch": 0.14, + "grad_norm": 1.8419506051442542, + "learning_rate": 1.9402308013465192e-05, + "loss": 0.9387, + "step": 5828 + }, + { + "epoch": 0.14, + "grad_norm": 1.6621458402103693, + "learning_rate": 1.9402048141717217e-05, + "loss": 0.9382, + "step": 5829 + }, + { + "epoch": 0.14, + "grad_norm": 1.618463651722485, + "learning_rate": 1.9401788215227547e-05, + "loss": 0.9976, + "step": 5830 + }, + { + "epoch": 0.14, + "grad_norm": 1.8911528044260912, + "learning_rate": 1.9401528233997684e-05, + "loss": 0.8688, + "step": 5831 + }, + { + "epoch": 0.14, + "grad_norm": 1.9781005742412388, + "learning_rate": 1.940126819802915e-05, + "loss": 0.9299, + "step": 5832 + }, + { + "epoch": 0.14, + "grad_norm": 1.710887247443324, + "learning_rate": 1.9401008107323457e-05, + "loss": 0.9987, + "step": 5833 + }, + { + "epoch": 0.14, + "grad_norm": 2.1193470513207355, + "learning_rate": 1.9400747961882115e-05, + "loss": 0.7923, + "step": 5834 + }, + { + "epoch": 0.14, + "grad_norm": 1.6447140424199145, + "learning_rate": 1.9400487761706646e-05, + "loss": 0.9807, + "step": 5835 + }, + { + "epoch": 0.14, + "grad_norm": 1.4806367979994521, + "learning_rate": 1.9400227506798557e-05, + "loss": 0.9144, + "step": 5836 + }, + { + "epoch": 0.14, + "grad_norm": 1.6460316280607725, + "learning_rate": 1.939996719715937e-05, + "loss": 0.8431, + "step": 5837 + }, + { + "epoch": 0.14, + "grad_norm": 1.6964741899320819, + "learning_rate": 1.93997068327906e-05, + "loss": 1.0099, + "step": 5838 + }, + { + "epoch": 0.14, + "grad_norm": 1.5911510900181778, + "learning_rate": 1.9399446413693756e-05, + "loss": 0.8811, + "step": 5839 + }, + { + "epoch": 0.14, + "grad_norm": 1.9496713082156287, + "learning_rate": 1.939918593987036e-05, + "loss": 0.8641, + "step": 5840 + }, + { + "epoch": 0.14, + "grad_norm": 1.5140191981010873, + "learning_rate": 1.939892541132193e-05, + "loss": 0.9571, + "step": 5841 + }, + { + "epoch": 0.14, + "grad_norm": 1.80611537753462, + "learning_rate": 1.9398664828049983e-05, + "loss": 0.8799, + "step": 5842 + }, + { + "epoch": 0.14, + "grad_norm": 1.6256550960644736, + "learning_rate": 1.939840419005603e-05, + "loss": 0.9924, + "step": 5843 + }, + { + "epoch": 0.14, + "grad_norm": 1.950523130118516, + "learning_rate": 1.9398143497341593e-05, + "loss": 0.9974, + "step": 5844 + }, + { + "epoch": 0.14, + "grad_norm": 1.7106022264049525, + "learning_rate": 1.939788274990819e-05, + "loss": 0.8794, + "step": 5845 + }, + { + "epoch": 0.14, + "grad_norm": 1.9004389764936058, + "learning_rate": 1.9397621947757338e-05, + "loss": 0.9133, + "step": 5846 + }, + { + "epoch": 0.14, + "grad_norm": 1.7835056760290917, + "learning_rate": 1.9397361090890554e-05, + "loss": 0.9692, + "step": 5847 + }, + { + "epoch": 0.14, + "grad_norm": 4.588883866413301, + "learning_rate": 1.939710017930936e-05, + "loss": 0.9293, + "step": 5848 + }, + { + "epoch": 0.14, + "grad_norm": 1.7933144355623951, + "learning_rate": 1.939683921301527e-05, + "loss": 0.8438, + "step": 5849 + }, + { + "epoch": 0.14, + "grad_norm": 1.7000147274201212, + "learning_rate": 1.9396578192009812e-05, + "loss": 0.9752, + "step": 5850 + }, + { + "epoch": 0.14, + "grad_norm": 1.8328474944783144, + "learning_rate": 1.9396317116294502e-05, + "loss": 1.019, + "step": 5851 + }, + { + "epoch": 0.14, + "grad_norm": 1.7090774832464153, + "learning_rate": 1.9396055985870855e-05, + "loss": 0.8453, + "step": 5852 + }, + { + "epoch": 0.14, + "grad_norm": 1.91339100695914, + "learning_rate": 1.93957948007404e-05, + "loss": 0.9337, + "step": 5853 + }, + { + "epoch": 0.14, + "grad_norm": 1.7719642934637332, + "learning_rate": 1.939553356090465e-05, + "loss": 1.0992, + "step": 5854 + }, + { + "epoch": 0.14, + "grad_norm": 1.6571697514857997, + "learning_rate": 1.9395272266365127e-05, + "loss": 1.0131, + "step": 5855 + }, + { + "epoch": 0.14, + "grad_norm": 1.6320010014509783, + "learning_rate": 1.9395010917123355e-05, + "loss": 0.8591, + "step": 5856 + }, + { + "epoch": 0.14, + "grad_norm": 2.9278286998289813, + "learning_rate": 1.9394749513180857e-05, + "loss": 0.969, + "step": 5857 + }, + { + "epoch": 0.14, + "grad_norm": 1.8356023742883432, + "learning_rate": 1.9394488054539153e-05, + "loss": 0.9159, + "step": 5858 + }, + { + "epoch": 0.14, + "grad_norm": 1.5139773542614945, + "learning_rate": 1.9394226541199764e-05, + "loss": 0.9452, + "step": 5859 + }, + { + "epoch": 0.14, + "grad_norm": 1.777988683558711, + "learning_rate": 1.9393964973164216e-05, + "loss": 0.8564, + "step": 5860 + }, + { + "epoch": 0.14, + "grad_norm": 1.6817441171641827, + "learning_rate": 1.939370335043403e-05, + "loss": 0.9449, + "step": 5861 + }, + { + "epoch": 0.14, + "grad_norm": 2.043899515955633, + "learning_rate": 1.9393441673010725e-05, + "loss": 1.0568, + "step": 5862 + }, + { + "epoch": 0.14, + "grad_norm": 1.4711757954080378, + "learning_rate": 1.939317994089583e-05, + "loss": 0.9136, + "step": 5863 + }, + { + "epoch": 0.14, + "grad_norm": 1.8109390529497547, + "learning_rate": 1.939291815409087e-05, + "loss": 0.8866, + "step": 5864 + }, + { + "epoch": 0.14, + "grad_norm": 1.9109777742866432, + "learning_rate": 1.9392656312597365e-05, + "loss": 0.7759, + "step": 5865 + }, + { + "epoch": 0.14, + "grad_norm": 3.2245431472236272, + "learning_rate": 1.939239441641684e-05, + "loss": 0.8869, + "step": 5866 + }, + { + "epoch": 0.14, + "grad_norm": 1.5119531475970067, + "learning_rate": 1.9392132465550824e-05, + "loss": 0.8703, + "step": 5867 + }, + { + "epoch": 0.14, + "grad_norm": 1.8323543113520988, + "learning_rate": 1.939187046000084e-05, + "loss": 0.8066, + "step": 5868 + }, + { + "epoch": 0.14, + "grad_norm": 2.039025561884893, + "learning_rate": 1.939160839976841e-05, + "loss": 0.9276, + "step": 5869 + }, + { + "epoch": 0.14, + "grad_norm": 1.5550233877438482, + "learning_rate": 1.939134628485506e-05, + "loss": 0.8866, + "step": 5870 + }, + { + "epoch": 0.14, + "grad_norm": 0.7964210672597387, + "learning_rate": 1.9391084115262323e-05, + "loss": 0.7157, + "step": 5871 + }, + { + "epoch": 0.14, + "grad_norm": 1.692839713393052, + "learning_rate": 1.9390821890991723e-05, + "loss": 0.9497, + "step": 5872 + }, + { + "epoch": 0.14, + "grad_norm": 1.5900443964119468, + "learning_rate": 1.9390559612044783e-05, + "loss": 0.9321, + "step": 5873 + }, + { + "epoch": 0.14, + "grad_norm": 1.58345438114236, + "learning_rate": 1.9390297278423028e-05, + "loss": 1.057, + "step": 5874 + }, + { + "epoch": 0.14, + "grad_norm": 1.7052992271349852, + "learning_rate": 1.9390034890127993e-05, + "loss": 0.953, + "step": 5875 + }, + { + "epoch": 0.14, + "grad_norm": 1.9891527086367171, + "learning_rate": 1.93897724471612e-05, + "loss": 0.9111, + "step": 5876 + }, + { + "epoch": 0.14, + "grad_norm": 2.2642198402151283, + "learning_rate": 1.938950994952418e-05, + "loss": 0.9173, + "step": 5877 + }, + { + "epoch": 0.14, + "grad_norm": 2.3972362609692364, + "learning_rate": 1.938924739721846e-05, + "loss": 0.96, + "step": 5878 + }, + { + "epoch": 0.14, + "grad_norm": 1.831234857087499, + "learning_rate": 1.9388984790245575e-05, + "loss": 1.0112, + "step": 5879 + }, + { + "epoch": 0.14, + "grad_norm": 1.7843904358373435, + "learning_rate": 1.938872212860704e-05, + "loss": 0.9981, + "step": 5880 + }, + { + "epoch": 0.14, + "grad_norm": 1.901010974531216, + "learning_rate": 1.9388459412304397e-05, + "loss": 0.9038, + "step": 5881 + }, + { + "epoch": 0.14, + "grad_norm": 0.7898815845769523, + "learning_rate": 1.938819664133917e-05, + "loss": 0.7469, + "step": 5882 + }, + { + "epoch": 0.14, + "grad_norm": 1.9467975501579045, + "learning_rate": 1.938793381571289e-05, + "loss": 0.7683, + "step": 5883 + }, + { + "epoch": 0.14, + "grad_norm": 1.7412912118236583, + "learning_rate": 1.938767093542708e-05, + "loss": 0.9427, + "step": 5884 + }, + { + "epoch": 0.14, + "grad_norm": 2.0883516916119937, + "learning_rate": 1.938740800048329e-05, + "loss": 0.968, + "step": 5885 + }, + { + "epoch": 0.14, + "grad_norm": 1.5276422385393609, + "learning_rate": 1.938714501088303e-05, + "loss": 0.8194, + "step": 5886 + }, + { + "epoch": 0.14, + "grad_norm": 1.7750663593652036, + "learning_rate": 1.9386881966627844e-05, + "loss": 0.9545, + "step": 5887 + }, + { + "epoch": 0.14, + "grad_norm": 3.1025189414676175, + "learning_rate": 1.9386618867719258e-05, + "loss": 1.1565, + "step": 5888 + }, + { + "epoch": 0.14, + "grad_norm": 1.542155988652206, + "learning_rate": 1.9386355714158806e-05, + "loss": 0.9698, + "step": 5889 + }, + { + "epoch": 0.14, + "grad_norm": 2.112095613957966, + "learning_rate": 1.9386092505948018e-05, + "loss": 0.8528, + "step": 5890 + }, + { + "epoch": 0.14, + "grad_norm": 1.9735624492749837, + "learning_rate": 1.9385829243088426e-05, + "loss": 0.8378, + "step": 5891 + }, + { + "epoch": 0.14, + "grad_norm": 1.7869005966570377, + "learning_rate": 1.938556592558157e-05, + "loss": 0.7959, + "step": 5892 + }, + { + "epoch": 0.14, + "grad_norm": 1.8621706425817246, + "learning_rate": 1.9385302553428974e-05, + "loss": 0.8959, + "step": 5893 + }, + { + "epoch": 0.14, + "grad_norm": 1.8090643370782358, + "learning_rate": 1.9385039126632176e-05, + "loss": 0.9737, + "step": 5894 + }, + { + "epoch": 0.14, + "grad_norm": 2.331921275664172, + "learning_rate": 1.9384775645192707e-05, + "loss": 0.8316, + "step": 5895 + }, + { + "epoch": 0.14, + "grad_norm": 1.7440993293386062, + "learning_rate": 1.9384512109112104e-05, + "loss": 0.8464, + "step": 5896 + }, + { + "epoch": 0.14, + "grad_norm": 0.7714017878160541, + "learning_rate": 1.9384248518391903e-05, + "loss": 0.7173, + "step": 5897 + }, + { + "epoch": 0.14, + "grad_norm": 1.9083233732769826, + "learning_rate": 1.9383984873033636e-05, + "loss": 0.8559, + "step": 5898 + }, + { + "epoch": 0.14, + "grad_norm": 1.897320867626837, + "learning_rate": 1.9383721173038836e-05, + "loss": 0.9734, + "step": 5899 + }, + { + "epoch": 0.14, + "grad_norm": 1.7372774363375196, + "learning_rate": 1.938345741840904e-05, + "loss": 0.8985, + "step": 5900 + }, + { + "epoch": 0.14, + "grad_norm": 1.7475524260989526, + "learning_rate": 1.9383193609145786e-05, + "loss": 1.1041, + "step": 5901 + }, + { + "epoch": 0.14, + "grad_norm": 0.8164503764930904, + "learning_rate": 1.9382929745250605e-05, + "loss": 0.6812, + "step": 5902 + }, + { + "epoch": 0.14, + "grad_norm": 4.384252479833271, + "learning_rate": 1.938266582672504e-05, + "loss": 1.0322, + "step": 5903 + }, + { + "epoch": 0.14, + "grad_norm": 1.7255440730779072, + "learning_rate": 1.9382401853570624e-05, + "loss": 0.8689, + "step": 5904 + }, + { + "epoch": 0.14, + "grad_norm": 3.1371693171097066, + "learning_rate": 1.938213782578889e-05, + "loss": 1.0203, + "step": 5905 + }, + { + "epoch": 0.14, + "grad_norm": 1.681058964274289, + "learning_rate": 1.9381873743381384e-05, + "loss": 1.0396, + "step": 5906 + }, + { + "epoch": 0.14, + "grad_norm": 1.64563768189886, + "learning_rate": 1.9381609606349635e-05, + "loss": 1.0413, + "step": 5907 + }, + { + "epoch": 0.14, + "grad_norm": 1.543429997299268, + "learning_rate": 1.9381345414695188e-05, + "loss": 0.9459, + "step": 5908 + }, + { + "epoch": 0.14, + "grad_norm": 2.939957634963097, + "learning_rate": 1.9381081168419577e-05, + "loss": 0.7357, + "step": 5909 + }, + { + "epoch": 0.14, + "grad_norm": 1.7716176830338275, + "learning_rate": 1.938081686752434e-05, + "loss": 1.0498, + "step": 5910 + }, + { + "epoch": 0.14, + "grad_norm": 1.6310089865746662, + "learning_rate": 1.938055251201102e-05, + "loss": 0.909, + "step": 5911 + }, + { + "epoch": 0.14, + "grad_norm": 0.7866294365245999, + "learning_rate": 1.9380288101881152e-05, + "loss": 0.786, + "step": 5912 + }, + { + "epoch": 0.14, + "grad_norm": 0.7594920781579184, + "learning_rate": 1.9380023637136272e-05, + "loss": 0.758, + "step": 5913 + }, + { + "epoch": 0.14, + "grad_norm": 0.7595394613522861, + "learning_rate": 1.937975911777793e-05, + "loss": 0.7007, + "step": 5914 + }, + { + "epoch": 0.14, + "grad_norm": 1.8742025170158918, + "learning_rate": 1.937949454380766e-05, + "loss": 0.8866, + "step": 5915 + }, + { + "epoch": 0.14, + "grad_norm": 1.763705869138619, + "learning_rate": 1.9379229915227006e-05, + "loss": 0.8999, + "step": 5916 + }, + { + "epoch": 0.14, + "grad_norm": 1.5699757345838998, + "learning_rate": 1.9378965232037503e-05, + "loss": 0.87, + "step": 5917 + }, + { + "epoch": 0.14, + "grad_norm": 2.1944688523098805, + "learning_rate": 1.9378700494240697e-05, + "loss": 0.9612, + "step": 5918 + }, + { + "epoch": 0.14, + "grad_norm": 1.9467757199675078, + "learning_rate": 1.9378435701838127e-05, + "loss": 0.9015, + "step": 5919 + }, + { + "epoch": 0.14, + "grad_norm": 1.669455973200291, + "learning_rate": 1.937817085483133e-05, + "loss": 0.9035, + "step": 5920 + }, + { + "epoch": 0.14, + "grad_norm": 2.519972284615471, + "learning_rate": 1.937790595322186e-05, + "loss": 0.8475, + "step": 5921 + }, + { + "epoch": 0.14, + "grad_norm": 0.8038232601808663, + "learning_rate": 1.937764099701125e-05, + "loss": 0.7928, + "step": 5922 + }, + { + "epoch": 0.14, + "grad_norm": 1.8275896254258905, + "learning_rate": 1.9377375986201047e-05, + "loss": 0.894, + "step": 5923 + }, + { + "epoch": 0.14, + "grad_norm": 1.4970874896008097, + "learning_rate": 1.9377110920792788e-05, + "loss": 0.7786, + "step": 5924 + }, + { + "epoch": 0.14, + "grad_norm": 1.4892647621508555, + "learning_rate": 1.937684580078802e-05, + "loss": 0.8146, + "step": 5925 + }, + { + "epoch": 0.14, + "grad_norm": 1.7027019331872881, + "learning_rate": 1.9376580626188292e-05, + "loss": 0.8812, + "step": 5926 + }, + { + "epoch": 0.14, + "grad_norm": 2.000713511482929, + "learning_rate": 1.937631539699514e-05, + "loss": 0.7853, + "step": 5927 + }, + { + "epoch": 0.14, + "grad_norm": 1.5145000774244515, + "learning_rate": 1.9376050113210113e-05, + "loss": 0.8075, + "step": 5928 + }, + { + "epoch": 0.14, + "grad_norm": 0.7857559688256741, + "learning_rate": 1.9375784774834754e-05, + "loss": 0.7831, + "step": 5929 + }, + { + "epoch": 0.14, + "grad_norm": 1.7347915173838915, + "learning_rate": 1.9375519381870608e-05, + "loss": 0.968, + "step": 5930 + }, + { + "epoch": 0.14, + "grad_norm": 1.5365757383590184, + "learning_rate": 1.9375253934319217e-05, + "loss": 0.8232, + "step": 5931 + }, + { + "epoch": 0.14, + "grad_norm": 2.0978440991406004, + "learning_rate": 1.9374988432182133e-05, + "loss": 0.8811, + "step": 5932 + }, + { + "epoch": 0.14, + "grad_norm": 1.9934994106427615, + "learning_rate": 1.9374722875460894e-05, + "loss": 0.8124, + "step": 5933 + }, + { + "epoch": 0.14, + "grad_norm": 1.8573790460775872, + "learning_rate": 1.9374457264157055e-05, + "loss": 0.9531, + "step": 5934 + }, + { + "epoch": 0.14, + "grad_norm": 0.8036589455582838, + "learning_rate": 1.9374191598272154e-05, + "loss": 0.7607, + "step": 5935 + }, + { + "epoch": 0.14, + "grad_norm": 2.3007595588036214, + "learning_rate": 1.9373925877807744e-05, + "loss": 0.8715, + "step": 5936 + }, + { + "epoch": 0.14, + "grad_norm": 0.8247367109176234, + "learning_rate": 1.937366010276537e-05, + "loss": 0.7389, + "step": 5937 + }, + { + "epoch": 0.14, + "grad_norm": 0.7874319585270586, + "learning_rate": 1.9373394273146577e-05, + "loss": 0.7479, + "step": 5938 + }, + { + "epoch": 0.14, + "grad_norm": 1.5421602407916521, + "learning_rate": 1.9373128388952914e-05, + "loss": 0.9489, + "step": 5939 + }, + { + "epoch": 0.14, + "grad_norm": 1.816501843721117, + "learning_rate": 1.9372862450185934e-05, + "loss": 0.8989, + "step": 5940 + }, + { + "epoch": 0.14, + "grad_norm": 2.1988792487432294, + "learning_rate": 1.937259645684718e-05, + "loss": 0.9556, + "step": 5941 + }, + { + "epoch": 0.14, + "grad_norm": 3.5328905338959977, + "learning_rate": 1.9372330408938203e-05, + "loss": 0.893, + "step": 5942 + }, + { + "epoch": 0.14, + "grad_norm": 2.2335867803663096, + "learning_rate": 1.937206430646055e-05, + "loss": 0.8899, + "step": 5943 + }, + { + "epoch": 0.14, + "grad_norm": 0.7884288876470676, + "learning_rate": 1.937179814941577e-05, + "loss": 0.8054, + "step": 5944 + }, + { + "epoch": 0.14, + "grad_norm": 1.5930376011039518, + "learning_rate": 1.9371531937805417e-05, + "loss": 0.9133, + "step": 5945 + }, + { + "epoch": 0.14, + "grad_norm": 0.8647103174338132, + "learning_rate": 1.9371265671631038e-05, + "loss": 0.773, + "step": 5946 + }, + { + "epoch": 0.14, + "grad_norm": 1.5550011150854148, + "learning_rate": 1.9370999350894178e-05, + "loss": 0.9952, + "step": 5947 + }, + { + "epoch": 0.14, + "grad_norm": 2.621507866813614, + "learning_rate": 1.93707329755964e-05, + "loss": 0.9557, + "step": 5948 + }, + { + "epoch": 0.14, + "grad_norm": 1.851531882670472, + "learning_rate": 1.9370466545739246e-05, + "loss": 0.8811, + "step": 5949 + }, + { + "epoch": 0.14, + "grad_norm": 1.6337399450048364, + "learning_rate": 1.9370200061324267e-05, + "loss": 1.015, + "step": 5950 + }, + { + "epoch": 0.14, + "grad_norm": 2.4416223393415546, + "learning_rate": 1.9369933522353017e-05, + "loss": 0.8999, + "step": 5951 + }, + { + "epoch": 0.14, + "grad_norm": 1.8142830076787433, + "learning_rate": 1.936966692882705e-05, + "loss": 1.1055, + "step": 5952 + }, + { + "epoch": 0.14, + "grad_norm": 1.851636497232011, + "learning_rate": 1.9369400280747913e-05, + "loss": 0.9154, + "step": 5953 + }, + { + "epoch": 0.14, + "grad_norm": 1.9445671840522807, + "learning_rate": 1.9369133578117162e-05, + "loss": 0.8264, + "step": 5954 + }, + { + "epoch": 0.14, + "grad_norm": 1.8104300468664207, + "learning_rate": 1.936886682093635e-05, + "loss": 0.9411, + "step": 5955 + }, + { + "epoch": 0.14, + "grad_norm": 0.7640996568926121, + "learning_rate": 1.9368600009207027e-05, + "loss": 0.7225, + "step": 5956 + }, + { + "epoch": 0.14, + "grad_norm": 1.8381751441497904, + "learning_rate": 1.9368333142930754e-05, + "loss": 0.8983, + "step": 5957 + }, + { + "epoch": 0.14, + "grad_norm": 1.6406042527337328, + "learning_rate": 1.9368066222109073e-05, + "loss": 0.9041, + "step": 5958 + }, + { + "epoch": 0.14, + "grad_norm": 1.9995519803288149, + "learning_rate": 1.936779924674355e-05, + "loss": 0.7121, + "step": 5959 + }, + { + "epoch": 0.14, + "grad_norm": 2.0673321847872455, + "learning_rate": 1.936753221683573e-05, + "loss": 0.8404, + "step": 5960 + }, + { + "epoch": 0.14, + "grad_norm": 1.529259067508205, + "learning_rate": 1.936726513238717e-05, + "loss": 0.8713, + "step": 5961 + }, + { + "epoch": 0.14, + "grad_norm": 0.7863285949134927, + "learning_rate": 1.9366997993399432e-05, + "loss": 0.7725, + "step": 5962 + }, + { + "epoch": 0.14, + "grad_norm": 0.7820156717764409, + "learning_rate": 1.9366730799874063e-05, + "loss": 0.7593, + "step": 5963 + }, + { + "epoch": 0.14, + "grad_norm": 1.9633165913250754, + "learning_rate": 1.9366463551812624e-05, + "loss": 1.0547, + "step": 5964 + }, + { + "epoch": 0.14, + "grad_norm": 1.6859634687220244, + "learning_rate": 1.936619624921667e-05, + "loss": 0.8908, + "step": 5965 + }, + { + "epoch": 0.14, + "grad_norm": 1.690717296334189, + "learning_rate": 1.936592889208775e-05, + "loss": 0.8078, + "step": 5966 + }, + { + "epoch": 0.14, + "grad_norm": 1.8979813393246614, + "learning_rate": 1.936566148042743e-05, + "loss": 0.9324, + "step": 5967 + }, + { + "epoch": 0.14, + "grad_norm": 1.619694354080087, + "learning_rate": 1.9365394014237268e-05, + "loss": 0.8566, + "step": 5968 + }, + { + "epoch": 0.14, + "grad_norm": 2.1382153777212185, + "learning_rate": 1.9365126493518813e-05, + "loss": 0.7998, + "step": 5969 + }, + { + "epoch": 0.14, + "grad_norm": 2.2268942862854093, + "learning_rate": 1.9364858918273626e-05, + "loss": 1.0167, + "step": 5970 + }, + { + "epoch": 0.14, + "grad_norm": 1.5604353596025133, + "learning_rate": 1.9364591288503267e-05, + "loss": 0.9156, + "step": 5971 + }, + { + "epoch": 0.14, + "grad_norm": 1.6421051349375986, + "learning_rate": 1.9364323604209292e-05, + "loss": 0.8399, + "step": 5972 + }, + { + "epoch": 0.14, + "grad_norm": 1.7074231204611667, + "learning_rate": 1.936405586539326e-05, + "loss": 1.0105, + "step": 5973 + }, + { + "epoch": 0.14, + "grad_norm": 1.8030028209843016, + "learning_rate": 1.936378807205673e-05, + "loss": 0.9277, + "step": 5974 + }, + { + "epoch": 0.14, + "grad_norm": 1.9986270647901525, + "learning_rate": 1.9363520224201263e-05, + "loss": 0.9455, + "step": 5975 + }, + { + "epoch": 0.14, + "grad_norm": 0.8030546367712994, + "learning_rate": 1.9363252321828417e-05, + "loss": 0.7588, + "step": 5976 + }, + { + "epoch": 0.14, + "grad_norm": 1.5909004716658548, + "learning_rate": 1.936298436493975e-05, + "loss": 1.0436, + "step": 5977 + }, + { + "epoch": 0.14, + "grad_norm": 1.725050669874304, + "learning_rate": 1.9362716353536825e-05, + "loss": 0.969, + "step": 5978 + }, + { + "epoch": 0.14, + "grad_norm": 5.250197348760882, + "learning_rate": 1.93624482876212e-05, + "loss": 0.8323, + "step": 5979 + }, + { + "epoch": 0.14, + "grad_norm": 1.6594632253190578, + "learning_rate": 1.9362180167194435e-05, + "loss": 0.9372, + "step": 5980 + }, + { + "epoch": 0.14, + "grad_norm": 1.5987671557244685, + "learning_rate": 1.9361911992258096e-05, + "loss": 0.9936, + "step": 5981 + }, + { + "epoch": 0.14, + "grad_norm": 1.6510269987978299, + "learning_rate": 1.936164376281374e-05, + "loss": 0.9974, + "step": 5982 + }, + { + "epoch": 0.14, + "grad_norm": 1.6905910485449362, + "learning_rate": 1.9361375478862933e-05, + "loss": 0.9406, + "step": 5983 + }, + { + "epoch": 0.14, + "grad_norm": 1.9603968244685406, + "learning_rate": 1.9361107140407233e-05, + "loss": 0.8777, + "step": 5984 + }, + { + "epoch": 0.14, + "grad_norm": 1.6314481664589473, + "learning_rate": 1.9360838747448202e-05, + "loss": 0.9001, + "step": 5985 + }, + { + "epoch": 0.14, + "grad_norm": 1.7999530066901042, + "learning_rate": 1.9360570299987405e-05, + "loss": 0.9551, + "step": 5986 + }, + { + "epoch": 0.14, + "grad_norm": 1.9550171617467011, + "learning_rate": 1.9360301798026404e-05, + "loss": 0.9186, + "step": 5987 + }, + { + "epoch": 0.14, + "grad_norm": 2.0416014070272683, + "learning_rate": 1.9360033241566764e-05, + "loss": 0.9665, + "step": 5988 + }, + { + "epoch": 0.14, + "grad_norm": 0.7826784592698371, + "learning_rate": 1.9359764630610044e-05, + "loss": 0.7467, + "step": 5989 + }, + { + "epoch": 0.14, + "grad_norm": 2.1905511268169464, + "learning_rate": 1.9359495965157814e-05, + "loss": 0.8993, + "step": 5990 + }, + { + "epoch": 0.14, + "grad_norm": 1.6447922549282772, + "learning_rate": 1.9359227245211633e-05, + "loss": 0.9797, + "step": 5991 + }, + { + "epoch": 0.14, + "grad_norm": 1.6999267111957417, + "learning_rate": 1.935895847077307e-05, + "loss": 0.8164, + "step": 5992 + }, + { + "epoch": 0.14, + "grad_norm": 1.8491375325812964, + "learning_rate": 1.9358689641843686e-05, + "loss": 0.8761, + "step": 5993 + }, + { + "epoch": 0.14, + "grad_norm": 2.1283854601777046, + "learning_rate": 1.935842075842505e-05, + "loss": 0.9528, + "step": 5994 + }, + { + "epoch": 0.14, + "grad_norm": 1.6167320704765975, + "learning_rate": 1.9358151820518725e-05, + "loss": 0.873, + "step": 5995 + }, + { + "epoch": 0.14, + "grad_norm": 1.699043815904354, + "learning_rate": 1.9357882828126278e-05, + "loss": 0.9686, + "step": 5996 + }, + { + "epoch": 0.14, + "grad_norm": 1.9134768272402445, + "learning_rate": 1.935761378124927e-05, + "loss": 0.8999, + "step": 5997 + }, + { + "epoch": 0.14, + "grad_norm": 1.5694379164541739, + "learning_rate": 1.935734467988928e-05, + "loss": 0.779, + "step": 5998 + }, + { + "epoch": 0.14, + "grad_norm": 1.7348448153375176, + "learning_rate": 1.935707552404786e-05, + "loss": 0.8317, + "step": 5999 + }, + { + "epoch": 0.14, + "grad_norm": 1.704983677851632, + "learning_rate": 1.9356806313726584e-05, + "loss": 0.9455, + "step": 6000 + }, + { + "epoch": 0.14, + "grad_norm": 2.1614751894731183, + "learning_rate": 1.9356537048927023e-05, + "loss": 0.8745, + "step": 6001 + }, + { + "epoch": 0.14, + "grad_norm": 1.762298598021869, + "learning_rate": 1.9356267729650738e-05, + "loss": 0.8709, + "step": 6002 + }, + { + "epoch": 0.14, + "grad_norm": 0.8272212710989049, + "learning_rate": 1.93559983558993e-05, + "loss": 0.7552, + "step": 6003 + }, + { + "epoch": 0.14, + "grad_norm": 1.959612719604652, + "learning_rate": 1.9355728927674284e-05, + "loss": 0.808, + "step": 6004 + }, + { + "epoch": 0.14, + "grad_norm": 1.6300759026122376, + "learning_rate": 1.9355459444977245e-05, + "loss": 0.9903, + "step": 6005 + }, + { + "epoch": 0.14, + "grad_norm": 0.7530486445092823, + "learning_rate": 1.935518990780976e-05, + "loss": 0.7599, + "step": 6006 + }, + { + "epoch": 0.14, + "grad_norm": 1.8463048558940296, + "learning_rate": 1.93549203161734e-05, + "loss": 0.8016, + "step": 6007 + }, + { + "epoch": 0.14, + "grad_norm": 2.2206232115310036, + "learning_rate": 1.9354650670069732e-05, + "loss": 0.9027, + "step": 6008 + }, + { + "epoch": 0.14, + "grad_norm": 0.8251098640417288, + "learning_rate": 1.9354380969500326e-05, + "loss": 0.789, + "step": 6009 + }, + { + "epoch": 0.14, + "grad_norm": 1.9806152120507732, + "learning_rate": 1.9354111214466752e-05, + "loss": 0.7801, + "step": 6010 + }, + { + "epoch": 0.14, + "grad_norm": 2.0088926729841234, + "learning_rate": 1.9353841404970582e-05, + "loss": 0.8589, + "step": 6011 + }, + { + "epoch": 0.14, + "grad_norm": 1.5150580726540193, + "learning_rate": 1.9353571541013382e-05, + "loss": 0.9058, + "step": 6012 + }, + { + "epoch": 0.14, + "grad_norm": 1.4736619151777988, + "learning_rate": 1.935330162259673e-05, + "loss": 0.8654, + "step": 6013 + }, + { + "epoch": 0.14, + "grad_norm": 1.788849659194644, + "learning_rate": 1.9353031649722196e-05, + "loss": 0.9853, + "step": 6014 + }, + { + "epoch": 0.14, + "grad_norm": 1.8350944821604136, + "learning_rate": 1.9352761622391348e-05, + "loss": 0.8711, + "step": 6015 + }, + { + "epoch": 0.14, + "grad_norm": 1.964513467597511, + "learning_rate": 1.935249154060576e-05, + "loss": 0.9917, + "step": 6016 + }, + { + "epoch": 0.14, + "grad_norm": 1.827151026955217, + "learning_rate": 1.9352221404367012e-05, + "loss": 0.823, + "step": 6017 + }, + { + "epoch": 0.14, + "grad_norm": 1.7602506891834953, + "learning_rate": 1.9351951213676664e-05, + "loss": 1.1082, + "step": 6018 + }, + { + "epoch": 0.14, + "grad_norm": 1.9945096241590456, + "learning_rate": 1.9351680968536298e-05, + "loss": 0.8615, + "step": 6019 + }, + { + "epoch": 0.14, + "grad_norm": 1.6019024919464313, + "learning_rate": 1.9351410668947482e-05, + "loss": 0.9638, + "step": 6020 + }, + { + "epoch": 0.14, + "grad_norm": 1.6320577410936217, + "learning_rate": 1.9351140314911798e-05, + "loss": 0.9676, + "step": 6021 + }, + { + "epoch": 0.14, + "grad_norm": 1.6462676685476567, + "learning_rate": 1.9350869906430807e-05, + "loss": 0.8583, + "step": 6022 + }, + { + "epoch": 0.14, + "grad_norm": 1.4237807166467509, + "learning_rate": 1.9350599443506097e-05, + "loss": 0.9607, + "step": 6023 + }, + { + "epoch": 0.14, + "grad_norm": 1.7956773684813356, + "learning_rate": 1.935032892613923e-05, + "loss": 0.8818, + "step": 6024 + }, + { + "epoch": 0.14, + "grad_norm": 1.7793207155859205, + "learning_rate": 1.9350058354331796e-05, + "loss": 0.9202, + "step": 6025 + }, + { + "epoch": 0.14, + "grad_norm": 1.6805618425167979, + "learning_rate": 1.9349787728085357e-05, + "loss": 0.9254, + "step": 6026 + }, + { + "epoch": 0.14, + "grad_norm": 0.7692033599687746, + "learning_rate": 1.9349517047401493e-05, + "loss": 0.7493, + "step": 6027 + }, + { + "epoch": 0.14, + "grad_norm": 1.7209998387737726, + "learning_rate": 1.9349246312281783e-05, + "loss": 0.8887, + "step": 6028 + }, + { + "epoch": 0.14, + "grad_norm": 1.9297469939145393, + "learning_rate": 1.9348975522727802e-05, + "loss": 0.9584, + "step": 6029 + }, + { + "epoch": 0.14, + "grad_norm": 2.1130668970115227, + "learning_rate": 1.9348704678741125e-05, + "loss": 0.9571, + "step": 6030 + }, + { + "epoch": 0.14, + "grad_norm": 2.1142176290205317, + "learning_rate": 1.934843378032333e-05, + "loss": 1.0018, + "step": 6031 + }, + { + "epoch": 0.14, + "grad_norm": 1.9636703494939935, + "learning_rate": 1.934816282747599e-05, + "loss": 0.8329, + "step": 6032 + }, + { + "epoch": 0.14, + "grad_norm": 1.8230733412408113, + "learning_rate": 1.9347891820200692e-05, + "loss": 0.8859, + "step": 6033 + }, + { + "epoch": 0.14, + "grad_norm": 2.399517176513889, + "learning_rate": 1.9347620758499003e-05, + "loss": 0.9179, + "step": 6034 + }, + { + "epoch": 0.14, + "grad_norm": 2.0027673430353894, + "learning_rate": 1.9347349642372512e-05, + "loss": 1.0274, + "step": 6035 + }, + { + "epoch": 0.14, + "grad_norm": 3.3510017452232717, + "learning_rate": 1.9347078471822786e-05, + "loss": 0.8342, + "step": 6036 + }, + { + "epoch": 0.14, + "grad_norm": 1.7057913986708917, + "learning_rate": 1.9346807246851417e-05, + "loss": 0.9067, + "step": 6037 + }, + { + "epoch": 0.14, + "grad_norm": 1.7822319828565032, + "learning_rate": 1.9346535967459973e-05, + "loss": 0.9155, + "step": 6038 + }, + { + "epoch": 0.14, + "grad_norm": 1.9418476723515148, + "learning_rate": 1.9346264633650036e-05, + "loss": 0.9551, + "step": 6039 + }, + { + "epoch": 0.14, + "grad_norm": 1.6496302869382986, + "learning_rate": 1.934599324542319e-05, + "loss": 1.024, + "step": 6040 + }, + { + "epoch": 0.14, + "grad_norm": 1.4886623694630132, + "learning_rate": 1.934572180278101e-05, + "loss": 0.9062, + "step": 6041 + }, + { + "epoch": 0.14, + "grad_norm": 2.503011589988399, + "learning_rate": 1.934545030572508e-05, + "loss": 0.8893, + "step": 6042 + }, + { + "epoch": 0.14, + "grad_norm": 1.771970609045252, + "learning_rate": 1.934517875425698e-05, + "loss": 0.9022, + "step": 6043 + }, + { + "epoch": 0.14, + "grad_norm": 1.5957170268291323, + "learning_rate": 1.934490714837829e-05, + "loss": 1.0382, + "step": 6044 + }, + { + "epoch": 0.14, + "grad_norm": 3.0256182169871457, + "learning_rate": 1.9344635488090593e-05, + "loss": 0.9636, + "step": 6045 + }, + { + "epoch": 0.14, + "grad_norm": 0.8038942686255407, + "learning_rate": 1.934436377339547e-05, + "loss": 0.7158, + "step": 6046 + }, + { + "epoch": 0.14, + "grad_norm": 1.644442731906356, + "learning_rate": 1.9344092004294503e-05, + "loss": 0.9057, + "step": 6047 + }, + { + "epoch": 0.14, + "grad_norm": 2.1440006016050943, + "learning_rate": 1.9343820180789273e-05, + "loss": 0.9584, + "step": 6048 + }, + { + "epoch": 0.14, + "grad_norm": 1.9182018075124916, + "learning_rate": 1.9343548302881364e-05, + "loss": 1.0182, + "step": 6049 + }, + { + "epoch": 0.14, + "grad_norm": 1.71686911063111, + "learning_rate": 1.9343276370572357e-05, + "loss": 0.9787, + "step": 6050 + }, + { + "epoch": 0.14, + "grad_norm": 0.7965475581953945, + "learning_rate": 1.9343004383863838e-05, + "loss": 0.7327, + "step": 6051 + }, + { + "epoch": 0.14, + "grad_norm": 1.878260050257555, + "learning_rate": 1.9342732342757392e-05, + "loss": 0.8362, + "step": 6052 + }, + { + "epoch": 0.14, + "grad_norm": 1.8511551425579453, + "learning_rate": 1.9342460247254596e-05, + "loss": 0.8925, + "step": 6053 + }, + { + "epoch": 0.14, + "grad_norm": 2.4495168083231422, + "learning_rate": 1.9342188097357042e-05, + "loss": 0.9197, + "step": 6054 + }, + { + "epoch": 0.14, + "grad_norm": 2.1658549951545756, + "learning_rate": 1.934191589306631e-05, + "loss": 0.9805, + "step": 6055 + }, + { + "epoch": 0.14, + "grad_norm": 1.7348703078231806, + "learning_rate": 1.9341643634383986e-05, + "loss": 1.0479, + "step": 6056 + }, + { + "epoch": 0.14, + "grad_norm": 1.8546689692125284, + "learning_rate": 1.9341371321311654e-05, + "loss": 1.0232, + "step": 6057 + }, + { + "epoch": 0.14, + "grad_norm": 1.8693331158403919, + "learning_rate": 1.9341098953850905e-05, + "loss": 0.9129, + "step": 6058 + }, + { + "epoch": 0.14, + "grad_norm": 0.8408215520472478, + "learning_rate": 1.934082653200332e-05, + "loss": 0.8256, + "step": 6059 + }, + { + "epoch": 0.14, + "grad_norm": 1.44865455451044, + "learning_rate": 1.934055405577048e-05, + "loss": 0.8639, + "step": 6060 + }, + { + "epoch": 0.14, + "grad_norm": 2.476815586475801, + "learning_rate": 1.9340281525153983e-05, + "loss": 0.7961, + "step": 6061 + }, + { + "epoch": 0.14, + "grad_norm": 2.06181663260874, + "learning_rate": 1.9340008940155407e-05, + "loss": 0.9136, + "step": 6062 + }, + { + "epoch": 0.14, + "grad_norm": 2.3431848987290027, + "learning_rate": 1.933973630077634e-05, + "loss": 0.9398, + "step": 6063 + }, + { + "epoch": 0.14, + "grad_norm": 0.7900820155411835, + "learning_rate": 1.9339463607018375e-05, + "loss": 0.7364, + "step": 6064 + }, + { + "epoch": 0.14, + "grad_norm": 1.7224089147320487, + "learning_rate": 1.9339190858883096e-05, + "loss": 0.9502, + "step": 6065 + }, + { + "epoch": 0.14, + "grad_norm": 1.715446530173856, + "learning_rate": 1.933891805637209e-05, + "loss": 0.9343, + "step": 6066 + }, + { + "epoch": 0.14, + "grad_norm": 1.7158358272441063, + "learning_rate": 1.9338645199486947e-05, + "loss": 1.0061, + "step": 6067 + }, + { + "epoch": 0.14, + "grad_norm": 1.7663080842753778, + "learning_rate": 1.9338372288229253e-05, + "loss": 1.1064, + "step": 6068 + }, + { + "epoch": 0.14, + "grad_norm": 1.7199513108369782, + "learning_rate": 1.93380993226006e-05, + "loss": 0.9321, + "step": 6069 + }, + { + "epoch": 0.14, + "grad_norm": 1.8096331476356153, + "learning_rate": 1.933782630260258e-05, + "loss": 0.8192, + "step": 6070 + }, + { + "epoch": 0.14, + "grad_norm": 0.7701415681937236, + "learning_rate": 1.9337553228236772e-05, + "loss": 0.7308, + "step": 6071 + }, + { + "epoch": 0.14, + "grad_norm": 2.177998980560812, + "learning_rate": 1.933728009950478e-05, + "loss": 0.8841, + "step": 6072 + }, + { + "epoch": 0.14, + "grad_norm": 1.9300783506942227, + "learning_rate": 1.9337006916408182e-05, + "loss": 1.0031, + "step": 6073 + }, + { + "epoch": 0.14, + "grad_norm": 1.793198264551209, + "learning_rate": 1.9336733678948577e-05, + "loss": 0.888, + "step": 6074 + }, + { + "epoch": 0.14, + "grad_norm": 2.3279021144630714, + "learning_rate": 1.933646038712755e-05, + "loss": 0.9679, + "step": 6075 + }, + { + "epoch": 0.14, + "grad_norm": 1.99044584265373, + "learning_rate": 1.9336187040946695e-05, + "loss": 0.8452, + "step": 6076 + }, + { + "epoch": 0.14, + "grad_norm": 1.9733147083587075, + "learning_rate": 1.9335913640407606e-05, + "loss": 1.0253, + "step": 6077 + }, + { + "epoch": 0.14, + "grad_norm": 1.6920075893127686, + "learning_rate": 1.9335640185511872e-05, + "loss": 0.9105, + "step": 6078 + }, + { + "epoch": 0.14, + "grad_norm": 1.9506598470553018, + "learning_rate": 1.933536667626108e-05, + "loss": 0.953, + "step": 6079 + }, + { + "epoch": 0.14, + "grad_norm": 1.5127736483868424, + "learning_rate": 1.933509311265683e-05, + "loss": 0.8899, + "step": 6080 + }, + { + "epoch": 0.14, + "grad_norm": 1.707282406758299, + "learning_rate": 1.9334819494700714e-05, + "loss": 0.8597, + "step": 6081 + }, + { + "epoch": 0.14, + "grad_norm": 0.8045258328167473, + "learning_rate": 1.9334545822394327e-05, + "loss": 0.7006, + "step": 6082 + }, + { + "epoch": 0.14, + "grad_norm": 1.7786912239965027, + "learning_rate": 1.9334272095739252e-05, + "loss": 1.0035, + "step": 6083 + }, + { + "epoch": 0.14, + "grad_norm": 1.8179109315018989, + "learning_rate": 1.9333998314737093e-05, + "loss": 0.8049, + "step": 6084 + }, + { + "epoch": 0.14, + "grad_norm": 1.6393910704311394, + "learning_rate": 1.9333724479389443e-05, + "loss": 1.0429, + "step": 6085 + }, + { + "epoch": 0.14, + "grad_norm": 1.7330520378290861, + "learning_rate": 1.9333450589697887e-05, + "loss": 0.8531, + "step": 6086 + }, + { + "epoch": 0.14, + "grad_norm": 1.7047115830592876, + "learning_rate": 1.9333176645664035e-05, + "loss": 1.029, + "step": 6087 + }, + { + "epoch": 0.14, + "grad_norm": 1.7784830204996347, + "learning_rate": 1.9332902647289468e-05, + "loss": 0.8444, + "step": 6088 + }, + { + "epoch": 0.14, + "grad_norm": 1.8810003715274466, + "learning_rate": 1.9332628594575792e-05, + "loss": 0.8474, + "step": 6089 + }, + { + "epoch": 0.14, + "grad_norm": 1.6569795828928864, + "learning_rate": 1.933235448752459e-05, + "loss": 0.8419, + "step": 6090 + }, + { + "epoch": 0.14, + "grad_norm": 1.672343768437566, + "learning_rate": 1.9332080326137476e-05, + "loss": 0.8494, + "step": 6091 + }, + { + "epoch": 0.14, + "grad_norm": 1.5431254359594213, + "learning_rate": 1.9331806110416027e-05, + "loss": 1.0079, + "step": 6092 + }, + { + "epoch": 0.14, + "grad_norm": 1.516456955198217, + "learning_rate": 1.9331531840361852e-05, + "loss": 0.9438, + "step": 6093 + }, + { + "epoch": 0.14, + "grad_norm": 2.151669716443165, + "learning_rate": 1.9331257515976545e-05, + "loss": 0.8884, + "step": 6094 + }, + { + "epoch": 0.14, + "grad_norm": 1.6924884479975237, + "learning_rate": 1.93309831372617e-05, + "loss": 0.9023, + "step": 6095 + }, + { + "epoch": 0.14, + "grad_norm": 1.9760098046822545, + "learning_rate": 1.933070870421892e-05, + "loss": 0.8757, + "step": 6096 + }, + { + "epoch": 0.14, + "grad_norm": 0.8354916371248517, + "learning_rate": 1.9330434216849796e-05, + "loss": 0.7604, + "step": 6097 + }, + { + "epoch": 0.14, + "grad_norm": 1.6626732856295101, + "learning_rate": 1.9330159675155933e-05, + "loss": 0.8133, + "step": 6098 + }, + { + "epoch": 0.14, + "grad_norm": 0.8363489599310281, + "learning_rate": 1.9329885079138927e-05, + "loss": 0.8194, + "step": 6099 + }, + { + "epoch": 0.14, + "grad_norm": 1.9752317189614685, + "learning_rate": 1.9329610428800376e-05, + "loss": 0.9827, + "step": 6100 + }, + { + "epoch": 0.14, + "grad_norm": 1.8697019518641218, + "learning_rate": 1.9329335724141877e-05, + "loss": 0.7829, + "step": 6101 + }, + { + "epoch": 0.14, + "grad_norm": 1.6346417863545835, + "learning_rate": 1.9329060965165032e-05, + "loss": 0.9386, + "step": 6102 + }, + { + "epoch": 0.14, + "grad_norm": 2.23691267383781, + "learning_rate": 1.9328786151871444e-05, + "loss": 0.9958, + "step": 6103 + }, + { + "epoch": 0.14, + "grad_norm": 1.6752277228906758, + "learning_rate": 1.9328511284262705e-05, + "loss": 0.9246, + "step": 6104 + }, + { + "epoch": 0.14, + "grad_norm": 1.9016122206869368, + "learning_rate": 1.9328236362340425e-05, + "loss": 0.887, + "step": 6105 + }, + { + "epoch": 0.14, + "grad_norm": 1.678485840065173, + "learning_rate": 1.9327961386106198e-05, + "loss": 0.9361, + "step": 6106 + }, + { + "epoch": 0.14, + "grad_norm": 1.798441577294215, + "learning_rate": 1.9327686355561622e-05, + "loss": 0.9442, + "step": 6107 + }, + { + "epoch": 0.14, + "grad_norm": 1.5724845380459231, + "learning_rate": 1.932741127070831e-05, + "loss": 0.9339, + "step": 6108 + }, + { + "epoch": 0.14, + "grad_norm": 1.7165280103157585, + "learning_rate": 1.932713613154785e-05, + "loss": 0.9391, + "step": 6109 + }, + { + "epoch": 0.14, + "grad_norm": 1.672587366127263, + "learning_rate": 1.9326860938081854e-05, + "loss": 0.8678, + "step": 6110 + }, + { + "epoch": 0.14, + "grad_norm": 1.9729260010574114, + "learning_rate": 1.932658569031192e-05, + "loss": 0.9356, + "step": 6111 + }, + { + "epoch": 0.14, + "grad_norm": 1.659351687626217, + "learning_rate": 1.9326310388239654e-05, + "loss": 0.9226, + "step": 6112 + }, + { + "epoch": 0.14, + "grad_norm": 1.669019908713921, + "learning_rate": 1.9326035031866653e-05, + "loss": 0.9019, + "step": 6113 + }, + { + "epoch": 0.14, + "grad_norm": 1.7216423467122068, + "learning_rate": 1.9325759621194528e-05, + "loss": 0.8785, + "step": 6114 + }, + { + "epoch": 0.14, + "grad_norm": 1.6115807533907491, + "learning_rate": 1.9325484156224872e-05, + "loss": 0.883, + "step": 6115 + }, + { + "epoch": 0.14, + "grad_norm": 1.857860635847524, + "learning_rate": 1.9325208636959297e-05, + "loss": 0.9577, + "step": 6116 + }, + { + "epoch": 0.14, + "grad_norm": 2.119383661225691, + "learning_rate": 1.932493306339941e-05, + "loss": 0.9313, + "step": 6117 + }, + { + "epoch": 0.14, + "grad_norm": 2.0622181211677506, + "learning_rate": 1.9324657435546802e-05, + "loss": 0.8899, + "step": 6118 + }, + { + "epoch": 0.14, + "grad_norm": 1.4826793955854505, + "learning_rate": 1.932438175340309e-05, + "loss": 0.897, + "step": 6119 + }, + { + "epoch": 0.14, + "grad_norm": 1.7481340672781707, + "learning_rate": 1.9324106016969875e-05, + "loss": 0.9259, + "step": 6120 + }, + { + "epoch": 0.14, + "grad_norm": 1.8142934168533302, + "learning_rate": 1.9323830226248763e-05, + "loss": 0.8868, + "step": 6121 + }, + { + "epoch": 0.14, + "grad_norm": 1.593481521864774, + "learning_rate": 1.932355438124136e-05, + "loss": 0.9077, + "step": 6122 + }, + { + "epoch": 0.14, + "grad_norm": 1.7527162842035318, + "learning_rate": 1.9323278481949274e-05, + "loss": 0.8515, + "step": 6123 + }, + { + "epoch": 0.14, + "grad_norm": 1.9717714845607277, + "learning_rate": 1.9323002528374104e-05, + "loss": 0.9513, + "step": 6124 + }, + { + "epoch": 0.14, + "grad_norm": 1.8450746523377057, + "learning_rate": 1.9322726520517465e-05, + "loss": 0.8885, + "step": 6125 + }, + { + "epoch": 0.14, + "grad_norm": 1.82862728518432, + "learning_rate": 1.932245045838096e-05, + "loss": 0.907, + "step": 6126 + }, + { + "epoch": 0.14, + "grad_norm": 1.6348292748097597, + "learning_rate": 1.9322174341966196e-05, + "loss": 1.0178, + "step": 6127 + }, + { + "epoch": 0.14, + "grad_norm": 1.9063538175478385, + "learning_rate": 1.9321898171274785e-05, + "loss": 0.8063, + "step": 6128 + }, + { + "epoch": 0.14, + "grad_norm": 1.7676443738272036, + "learning_rate": 1.9321621946308328e-05, + "loss": 0.9886, + "step": 6129 + }, + { + "epoch": 0.14, + "grad_norm": 3.0824074640871246, + "learning_rate": 1.9321345667068435e-05, + "loss": 0.9615, + "step": 6130 + }, + { + "epoch": 0.14, + "grad_norm": 1.6888494632410604, + "learning_rate": 1.9321069333556722e-05, + "loss": 0.993, + "step": 6131 + }, + { + "epoch": 0.14, + "grad_norm": 2.1509093343615353, + "learning_rate": 1.9320792945774788e-05, + "loss": 0.8932, + "step": 6132 + }, + { + "epoch": 0.14, + "grad_norm": 1.755786124037853, + "learning_rate": 1.932051650372425e-05, + "loss": 0.9492, + "step": 6133 + }, + { + "epoch": 0.14, + "grad_norm": 1.8306354568888987, + "learning_rate": 1.932024000740671e-05, + "loss": 1.0071, + "step": 6134 + }, + { + "epoch": 0.14, + "grad_norm": 0.8074720950676059, + "learning_rate": 1.9319963456823788e-05, + "loss": 0.7394, + "step": 6135 + }, + { + "epoch": 0.14, + "grad_norm": 1.9998571449308744, + "learning_rate": 1.931968685197708e-05, + "loss": 0.8829, + "step": 6136 + }, + { + "epoch": 0.14, + "grad_norm": 1.7676800094201663, + "learning_rate": 1.931941019286821e-05, + "loss": 0.7976, + "step": 6137 + }, + { + "epoch": 0.14, + "grad_norm": 1.6351383486052389, + "learning_rate": 1.931913347949878e-05, + "loss": 0.9421, + "step": 6138 + }, + { + "epoch": 0.14, + "grad_norm": 1.7151969053029334, + "learning_rate": 1.931885671187041e-05, + "loss": 0.9311, + "step": 6139 + }, + { + "epoch": 0.14, + "grad_norm": 1.681860603221807, + "learning_rate": 1.9318579889984705e-05, + "loss": 0.836, + "step": 6140 + }, + { + "epoch": 0.14, + "grad_norm": 1.6108382406751443, + "learning_rate": 1.9318303013843272e-05, + "loss": 0.9715, + "step": 6141 + }, + { + "epoch": 0.14, + "grad_norm": 0.74991367712624, + "learning_rate": 1.9318026083447733e-05, + "loss": 0.7628, + "step": 6142 + }, + { + "epoch": 0.14, + "grad_norm": 1.5071867596339712, + "learning_rate": 1.9317749098799695e-05, + "loss": 0.8953, + "step": 6143 + }, + { + "epoch": 0.14, + "grad_norm": 1.525555960850665, + "learning_rate": 1.9317472059900773e-05, + "loss": 0.848, + "step": 6144 + }, + { + "epoch": 0.14, + "grad_norm": 1.8015029053812857, + "learning_rate": 1.9317194966752576e-05, + "loss": 0.9924, + "step": 6145 + }, + { + "epoch": 0.14, + "grad_norm": 2.0606728925125375, + "learning_rate": 1.9316917819356723e-05, + "loss": 0.8537, + "step": 6146 + }, + { + "epoch": 0.14, + "grad_norm": 0.7689655616949764, + "learning_rate": 1.9316640617714823e-05, + "loss": 0.7184, + "step": 6147 + }, + { + "epoch": 0.14, + "grad_norm": 1.5796641616422027, + "learning_rate": 1.9316363361828493e-05, + "loss": 0.9063, + "step": 6148 + }, + { + "epoch": 0.14, + "grad_norm": 2.144511501812707, + "learning_rate": 1.9316086051699345e-05, + "loss": 0.9186, + "step": 6149 + }, + { + "epoch": 0.14, + "grad_norm": 1.6215184700412382, + "learning_rate": 1.9315808687328996e-05, + "loss": 0.8766, + "step": 6150 + }, + { + "epoch": 0.14, + "grad_norm": 1.5115849201358316, + "learning_rate": 1.9315531268719058e-05, + "loss": 0.9447, + "step": 6151 + }, + { + "epoch": 0.14, + "grad_norm": 2.2883186581823303, + "learning_rate": 1.931525379587115e-05, + "loss": 1.0474, + "step": 6152 + }, + { + "epoch": 0.14, + "grad_norm": 1.9379193009290578, + "learning_rate": 1.9314976268786883e-05, + "loss": 0.9181, + "step": 6153 + }, + { + "epoch": 0.14, + "grad_norm": 0.7930888569989415, + "learning_rate": 1.9314698687467876e-05, + "loss": 0.7383, + "step": 6154 + }, + { + "epoch": 0.15, + "grad_norm": 0.7885550252671991, + "learning_rate": 1.9314421051915744e-05, + "loss": 0.7451, + "step": 6155 + }, + { + "epoch": 0.15, + "grad_norm": 1.5779312423224332, + "learning_rate": 1.93141433621321e-05, + "loss": 0.9151, + "step": 6156 + }, + { + "epoch": 0.15, + "grad_norm": 1.7234671272972377, + "learning_rate": 1.931386561811857e-05, + "loss": 0.8662, + "step": 6157 + }, + { + "epoch": 0.15, + "grad_norm": 1.7286570161505166, + "learning_rate": 1.9313587819876765e-05, + "loss": 1.0258, + "step": 6158 + }, + { + "epoch": 0.15, + "grad_norm": 1.9729899193431377, + "learning_rate": 1.93133099674083e-05, + "loss": 0.9325, + "step": 6159 + }, + { + "epoch": 0.15, + "grad_norm": 1.7852426834462125, + "learning_rate": 1.9313032060714797e-05, + "loss": 0.9715, + "step": 6160 + }, + { + "epoch": 0.15, + "grad_norm": 1.5058780035008992, + "learning_rate": 1.9312754099797876e-05, + "loss": 1.0393, + "step": 6161 + }, + { + "epoch": 0.15, + "grad_norm": 1.8400570460976495, + "learning_rate": 1.931247608465915e-05, + "loss": 1.0212, + "step": 6162 + }, + { + "epoch": 0.15, + "grad_norm": 1.5716459572154837, + "learning_rate": 1.931219801530024e-05, + "loss": 0.7586, + "step": 6163 + }, + { + "epoch": 0.15, + "grad_norm": 2.229003941843047, + "learning_rate": 1.9311919891722764e-05, + "loss": 0.9424, + "step": 6164 + }, + { + "epoch": 0.15, + "grad_norm": 2.026777534056569, + "learning_rate": 1.9311641713928342e-05, + "loss": 0.9401, + "step": 6165 + }, + { + "epoch": 0.15, + "grad_norm": 1.7185464591847486, + "learning_rate": 1.9311363481918594e-05, + "loss": 0.9523, + "step": 6166 + }, + { + "epoch": 0.15, + "grad_norm": 0.8543328892518728, + "learning_rate": 1.9311085195695142e-05, + "loss": 0.7318, + "step": 6167 + }, + { + "epoch": 0.15, + "grad_norm": 1.6847245114870455, + "learning_rate": 1.9310806855259604e-05, + "loss": 0.8976, + "step": 6168 + }, + { + "epoch": 0.15, + "grad_norm": 0.7997844592180838, + "learning_rate": 1.93105284606136e-05, + "loss": 0.7199, + "step": 6169 + }, + { + "epoch": 0.15, + "grad_norm": 1.4992165691144685, + "learning_rate": 1.9310250011758752e-05, + "loss": 0.9936, + "step": 6170 + }, + { + "epoch": 0.15, + "grad_norm": 2.017916068001455, + "learning_rate": 1.9309971508696675e-05, + "loss": 0.8341, + "step": 6171 + }, + { + "epoch": 0.15, + "grad_norm": 1.7659687562702704, + "learning_rate": 1.9309692951429003e-05, + "loss": 0.9848, + "step": 6172 + }, + { + "epoch": 0.15, + "grad_norm": 1.6041435243533466, + "learning_rate": 1.9309414339957355e-05, + "loss": 0.8825, + "step": 6173 + }, + { + "epoch": 0.15, + "grad_norm": 1.7624019854589037, + "learning_rate": 1.9309135674283343e-05, + "loss": 0.8714, + "step": 6174 + }, + { + "epoch": 0.15, + "grad_norm": 2.212555471991551, + "learning_rate": 1.9308856954408594e-05, + "loss": 0.9899, + "step": 6175 + }, + { + "epoch": 0.15, + "grad_norm": 2.9572243738741872, + "learning_rate": 1.9308578180334737e-05, + "loss": 0.9887, + "step": 6176 + }, + { + "epoch": 0.15, + "grad_norm": 0.7283463362893151, + "learning_rate": 1.930829935206339e-05, + "loss": 0.6978, + "step": 6177 + }, + { + "epoch": 0.15, + "grad_norm": 1.6296665501799532, + "learning_rate": 1.9308020469596177e-05, + "loss": 0.9131, + "step": 6178 + }, + { + "epoch": 0.15, + "grad_norm": 1.7568986393077606, + "learning_rate": 1.930774153293472e-05, + "loss": 0.9006, + "step": 6179 + }, + { + "epoch": 0.15, + "grad_norm": 1.870073449286941, + "learning_rate": 1.9307462542080646e-05, + "loss": 0.887, + "step": 6180 + }, + { + "epoch": 0.15, + "grad_norm": 2.4190671155315067, + "learning_rate": 1.930718349703558e-05, + "loss": 0.8695, + "step": 6181 + }, + { + "epoch": 0.15, + "grad_norm": 1.9452544116834858, + "learning_rate": 1.9306904397801144e-05, + "loss": 0.9769, + "step": 6182 + }, + { + "epoch": 0.15, + "grad_norm": 1.9940612483058966, + "learning_rate": 1.9306625244378964e-05, + "loss": 0.8011, + "step": 6183 + }, + { + "epoch": 0.15, + "grad_norm": 1.6650828762141983, + "learning_rate": 1.9306346036770667e-05, + "loss": 0.9219, + "step": 6184 + }, + { + "epoch": 0.15, + "grad_norm": 1.726591587731879, + "learning_rate": 1.9306066774977875e-05, + "loss": 0.9332, + "step": 6185 + }, + { + "epoch": 0.15, + "grad_norm": 1.9591091281101907, + "learning_rate": 1.930578745900222e-05, + "loss": 0.935, + "step": 6186 + }, + { + "epoch": 0.15, + "grad_norm": 3.2595540259913864, + "learning_rate": 1.930550808884532e-05, + "loss": 0.7012, + "step": 6187 + }, + { + "epoch": 0.15, + "grad_norm": 1.709406305084124, + "learning_rate": 1.9305228664508805e-05, + "loss": 0.8923, + "step": 6188 + }, + { + "epoch": 0.15, + "grad_norm": 1.8007502730800815, + "learning_rate": 1.9304949185994303e-05, + "loss": 0.8284, + "step": 6189 + }, + { + "epoch": 0.15, + "grad_norm": 1.7562570660388686, + "learning_rate": 1.9304669653303444e-05, + "loss": 0.8535, + "step": 6190 + }, + { + "epoch": 0.15, + "grad_norm": 1.9153367628287952, + "learning_rate": 1.930439006643785e-05, + "loss": 0.9536, + "step": 6191 + }, + { + "epoch": 0.15, + "grad_norm": 1.9654122251977841, + "learning_rate": 1.930411042539915e-05, + "loss": 0.8049, + "step": 6192 + }, + { + "epoch": 0.15, + "grad_norm": 0.7843611469307926, + "learning_rate": 1.930383073018898e-05, + "loss": 0.8043, + "step": 6193 + }, + { + "epoch": 0.15, + "grad_norm": 1.8867707932536573, + "learning_rate": 1.9303550980808956e-05, + "loss": 0.8332, + "step": 6194 + }, + { + "epoch": 0.15, + "grad_norm": 1.8972400130604028, + "learning_rate": 1.9303271177260715e-05, + "loss": 0.8518, + "step": 6195 + }, + { + "epoch": 0.15, + "grad_norm": 1.6007823022485335, + "learning_rate": 1.9302991319545883e-05, + "loss": 1.0862, + "step": 6196 + }, + { + "epoch": 0.15, + "grad_norm": 1.6507883324538313, + "learning_rate": 1.930271140766609e-05, + "loss": 0.9591, + "step": 6197 + }, + { + "epoch": 0.15, + "grad_norm": 1.8175474222805559, + "learning_rate": 1.930243144162297e-05, + "loss": 0.8976, + "step": 6198 + }, + { + "epoch": 0.15, + "grad_norm": 1.6981557858845118, + "learning_rate": 1.930215142141814e-05, + "loss": 1.0564, + "step": 6199 + }, + { + "epoch": 0.15, + "grad_norm": 1.6511368477735444, + "learning_rate": 1.930187134705325e-05, + "loss": 0.9204, + "step": 6200 + }, + { + "epoch": 0.15, + "grad_norm": 1.6410405021698722, + "learning_rate": 1.930159121852991e-05, + "loss": 0.9172, + "step": 6201 + }, + { + "epoch": 0.15, + "grad_norm": 1.7099852520054395, + "learning_rate": 1.930131103584977e-05, + "loss": 0.7924, + "step": 6202 + }, + { + "epoch": 0.15, + "grad_norm": 1.6508701309985196, + "learning_rate": 1.9301030799014445e-05, + "loss": 0.8729, + "step": 6203 + }, + { + "epoch": 0.15, + "grad_norm": 1.6713208985504837, + "learning_rate": 1.9300750508025577e-05, + "loss": 0.9393, + "step": 6204 + }, + { + "epoch": 0.15, + "grad_norm": 1.9914965142993128, + "learning_rate": 1.93004701628848e-05, + "loss": 0.8849, + "step": 6205 + }, + { + "epoch": 0.15, + "grad_norm": 0.7839881956662393, + "learning_rate": 1.9300189763593736e-05, + "loss": 0.7275, + "step": 6206 + }, + { + "epoch": 0.15, + "grad_norm": 1.8197124982886146, + "learning_rate": 1.9299909310154025e-05, + "loss": 0.9514, + "step": 6207 + }, + { + "epoch": 0.15, + "grad_norm": 1.7889794395687584, + "learning_rate": 1.9299628802567293e-05, + "loss": 0.9756, + "step": 6208 + }, + { + "epoch": 0.15, + "grad_norm": 1.9062281550626063, + "learning_rate": 1.9299348240835182e-05, + "loss": 0.8552, + "step": 6209 + }, + { + "epoch": 0.15, + "grad_norm": 1.4317739429986647, + "learning_rate": 1.9299067624959322e-05, + "loss": 0.8132, + "step": 6210 + }, + { + "epoch": 0.15, + "grad_norm": 2.062289660555459, + "learning_rate": 1.9298786954941344e-05, + "loss": 0.8824, + "step": 6211 + }, + { + "epoch": 0.15, + "grad_norm": 2.0695844842374034, + "learning_rate": 1.9298506230782886e-05, + "loss": 0.8923, + "step": 6212 + }, + { + "epoch": 0.15, + "grad_norm": 1.7892583911652988, + "learning_rate": 1.929822545248558e-05, + "loss": 0.943, + "step": 6213 + }, + { + "epoch": 0.15, + "grad_norm": 2.032135582923966, + "learning_rate": 1.9297944620051063e-05, + "loss": 0.9301, + "step": 6214 + }, + { + "epoch": 0.15, + "grad_norm": 1.508588134131592, + "learning_rate": 1.9297663733480966e-05, + "loss": 0.9359, + "step": 6215 + }, + { + "epoch": 0.15, + "grad_norm": 1.5564180931386398, + "learning_rate": 1.929738279277693e-05, + "loss": 0.8469, + "step": 6216 + }, + { + "epoch": 0.15, + "grad_norm": 1.791110400247542, + "learning_rate": 1.9297101797940586e-05, + "loss": 0.8941, + "step": 6217 + }, + { + "epoch": 0.15, + "grad_norm": 1.8115627471882183, + "learning_rate": 1.9296820748973572e-05, + "loss": 0.9347, + "step": 6218 + }, + { + "epoch": 0.15, + "grad_norm": 1.7163476603431367, + "learning_rate": 1.9296539645877524e-05, + "loss": 0.9409, + "step": 6219 + }, + { + "epoch": 0.15, + "grad_norm": 1.5367926000576044, + "learning_rate": 1.9296258488654082e-05, + "loss": 0.9382, + "step": 6220 + }, + { + "epoch": 0.15, + "grad_norm": 1.648972057915115, + "learning_rate": 1.9295977277304875e-05, + "loss": 0.9066, + "step": 6221 + }, + { + "epoch": 0.15, + "grad_norm": 1.66717359134965, + "learning_rate": 1.9295696011831547e-05, + "loss": 0.9062, + "step": 6222 + }, + { + "epoch": 0.15, + "grad_norm": 1.722177397901838, + "learning_rate": 1.9295414692235738e-05, + "loss": 1.0333, + "step": 6223 + }, + { + "epoch": 0.15, + "grad_norm": 0.7631871539275098, + "learning_rate": 1.9295133318519077e-05, + "loss": 0.7255, + "step": 6224 + }, + { + "epoch": 0.15, + "grad_norm": 1.5002642193118738, + "learning_rate": 1.9294851890683208e-05, + "loss": 0.964, + "step": 6225 + }, + { + "epoch": 0.15, + "grad_norm": 0.8126624776934711, + "learning_rate": 1.929457040872977e-05, + "loss": 0.7352, + "step": 6226 + }, + { + "epoch": 0.15, + "grad_norm": 0.7738441238247539, + "learning_rate": 1.92942888726604e-05, + "loss": 0.7593, + "step": 6227 + }, + { + "epoch": 0.15, + "grad_norm": 1.61245074100175, + "learning_rate": 1.9294007282476737e-05, + "loss": 0.8403, + "step": 6228 + }, + { + "epoch": 0.15, + "grad_norm": 2.561381492206762, + "learning_rate": 1.929372563818042e-05, + "loss": 0.978, + "step": 6229 + }, + { + "epoch": 0.15, + "grad_norm": 1.6247599724216693, + "learning_rate": 1.9293443939773092e-05, + "loss": 0.9803, + "step": 6230 + }, + { + "epoch": 0.15, + "grad_norm": 1.616888679437041, + "learning_rate": 1.9293162187256392e-05, + "loss": 0.8953, + "step": 6231 + }, + { + "epoch": 0.15, + "grad_norm": 1.542530276994592, + "learning_rate": 1.9292880380631956e-05, + "loss": 0.9812, + "step": 6232 + }, + { + "epoch": 0.15, + "grad_norm": 2.0067889804984973, + "learning_rate": 1.929259851990143e-05, + "loss": 0.8575, + "step": 6233 + }, + { + "epoch": 0.15, + "grad_norm": 1.5495295637760185, + "learning_rate": 1.9292316605066455e-05, + "loss": 0.9188, + "step": 6234 + }, + { + "epoch": 0.15, + "grad_norm": 1.68730158002875, + "learning_rate": 1.929203463612867e-05, + "loss": 0.8186, + "step": 6235 + }, + { + "epoch": 0.15, + "grad_norm": 1.989208084545542, + "learning_rate": 1.9291752613089717e-05, + "loss": 1.055, + "step": 6236 + }, + { + "epoch": 0.15, + "grad_norm": 1.8059139858863396, + "learning_rate": 1.929147053595124e-05, + "loss": 0.8923, + "step": 6237 + }, + { + "epoch": 0.15, + "grad_norm": 1.7255351835166326, + "learning_rate": 1.9291188404714876e-05, + "loss": 0.799, + "step": 6238 + }, + { + "epoch": 0.15, + "grad_norm": 1.968167471140407, + "learning_rate": 1.9290906219382277e-05, + "loss": 0.8909, + "step": 6239 + }, + { + "epoch": 0.15, + "grad_norm": 2.261007718966533, + "learning_rate": 1.9290623979955077e-05, + "loss": 0.8984, + "step": 6240 + }, + { + "epoch": 0.15, + "grad_norm": 2.459805652289001, + "learning_rate": 1.9290341686434924e-05, + "loss": 0.8874, + "step": 6241 + }, + { + "epoch": 0.15, + "grad_norm": 1.6825955520337328, + "learning_rate": 1.929005933882346e-05, + "loss": 0.9349, + "step": 6242 + }, + { + "epoch": 0.15, + "grad_norm": 1.684731483489434, + "learning_rate": 1.928977693712233e-05, + "loss": 1.0776, + "step": 6243 + }, + { + "epoch": 0.15, + "grad_norm": 1.692554270625254, + "learning_rate": 1.9289494481333177e-05, + "loss": 0.9273, + "step": 6244 + }, + { + "epoch": 0.15, + "grad_norm": 2.1469350889179957, + "learning_rate": 1.9289211971457644e-05, + "loss": 0.9409, + "step": 6245 + }, + { + "epoch": 0.15, + "grad_norm": 1.9950461855513457, + "learning_rate": 1.928892940749738e-05, + "loss": 0.962, + "step": 6246 + }, + { + "epoch": 0.15, + "grad_norm": 1.7441541716714604, + "learning_rate": 1.9288646789454032e-05, + "loss": 0.9908, + "step": 6247 + }, + { + "epoch": 0.15, + "grad_norm": 1.855522241433085, + "learning_rate": 1.9288364117329233e-05, + "loss": 0.9203, + "step": 6248 + }, + { + "epoch": 0.15, + "grad_norm": 1.4297129380508158, + "learning_rate": 1.9288081391124643e-05, + "loss": 0.9859, + "step": 6249 + }, + { + "epoch": 0.15, + "grad_norm": 1.4815745406957357, + "learning_rate": 1.9287798610841903e-05, + "loss": 0.9811, + "step": 6250 + }, + { + "epoch": 0.15, + "grad_norm": 0.824456807310504, + "learning_rate": 1.928751577648266e-05, + "loss": 0.7288, + "step": 6251 + }, + { + "epoch": 0.15, + "grad_norm": 1.6435494700311895, + "learning_rate": 1.9287232888048554e-05, + "loss": 0.8112, + "step": 6252 + }, + { + "epoch": 0.15, + "grad_norm": 1.4719459545196936, + "learning_rate": 1.9286949945541243e-05, + "loss": 0.8656, + "step": 6253 + }, + { + "epoch": 0.15, + "grad_norm": 1.6750482887380622, + "learning_rate": 1.9286666948962368e-05, + "loss": 1.0146, + "step": 6254 + }, + { + "epoch": 0.15, + "grad_norm": 1.7190784836910282, + "learning_rate": 1.9286383898313578e-05, + "loss": 0.9382, + "step": 6255 + }, + { + "epoch": 0.15, + "grad_norm": 2.2215930608351044, + "learning_rate": 1.9286100793596523e-05, + "loss": 0.9498, + "step": 6256 + }, + { + "epoch": 0.15, + "grad_norm": 1.7626719406373546, + "learning_rate": 1.9285817634812844e-05, + "loss": 0.918, + "step": 6257 + }, + { + "epoch": 0.15, + "grad_norm": 1.8091230031314687, + "learning_rate": 1.92855344219642e-05, + "loss": 0.9606, + "step": 6258 + }, + { + "epoch": 0.15, + "grad_norm": 1.5916431977388348, + "learning_rate": 1.9285251155052233e-05, + "loss": 0.9052, + "step": 6259 + }, + { + "epoch": 0.15, + "grad_norm": 1.7815858126278783, + "learning_rate": 1.928496783407859e-05, + "loss": 1.0416, + "step": 6260 + }, + { + "epoch": 0.15, + "grad_norm": 0.7729290805143388, + "learning_rate": 1.928468445904493e-05, + "loss": 0.7048, + "step": 6261 + }, + { + "epoch": 0.15, + "grad_norm": 1.7929991785135477, + "learning_rate": 1.9284401029952898e-05, + "loss": 0.9391, + "step": 6262 + }, + { + "epoch": 0.15, + "grad_norm": 1.801094347313833, + "learning_rate": 1.928411754680414e-05, + "loss": 1.0149, + "step": 6263 + }, + { + "epoch": 0.15, + "grad_norm": 2.0823229260340668, + "learning_rate": 1.928383400960031e-05, + "loss": 0.9676, + "step": 6264 + }, + { + "epoch": 0.15, + "grad_norm": 1.756780006645932, + "learning_rate": 1.9283550418343063e-05, + "loss": 0.8643, + "step": 6265 + }, + { + "epoch": 0.15, + "grad_norm": 2.109666540387926, + "learning_rate": 1.9283266773034047e-05, + "loss": 0.9633, + "step": 6266 + }, + { + "epoch": 0.15, + "grad_norm": 0.776692402474345, + "learning_rate": 1.928298307367491e-05, + "loss": 0.7805, + "step": 6267 + }, + { + "epoch": 0.15, + "grad_norm": 1.7709793063270776, + "learning_rate": 1.928269932026731e-05, + "loss": 0.88, + "step": 6268 + }, + { + "epoch": 0.15, + "grad_norm": 1.8388468286817539, + "learning_rate": 1.928241551281289e-05, + "loss": 0.8141, + "step": 6269 + }, + { + "epoch": 0.15, + "grad_norm": 1.620576204383095, + "learning_rate": 1.928213165131331e-05, + "loss": 0.8234, + "step": 6270 + }, + { + "epoch": 0.15, + "grad_norm": 1.909873311027714, + "learning_rate": 1.9281847735770224e-05, + "loss": 0.8974, + "step": 6271 + }, + { + "epoch": 0.15, + "grad_norm": 0.7873035593411867, + "learning_rate": 1.928156376618528e-05, + "loss": 0.7574, + "step": 6272 + }, + { + "epoch": 0.15, + "grad_norm": 2.0648536181162216, + "learning_rate": 1.9281279742560134e-05, + "loss": 0.9088, + "step": 6273 + }, + { + "epoch": 0.15, + "grad_norm": 1.718793977640799, + "learning_rate": 1.9280995664896435e-05, + "loss": 0.9844, + "step": 6274 + }, + { + "epoch": 0.15, + "grad_norm": 1.8787806009733528, + "learning_rate": 1.9280711533195843e-05, + "loss": 1.1067, + "step": 6275 + }, + { + "epoch": 0.15, + "grad_norm": 1.6053734189306212, + "learning_rate": 1.9280427347460013e-05, + "loss": 0.91, + "step": 6276 + }, + { + "epoch": 0.15, + "grad_norm": 2.4149472737844575, + "learning_rate": 1.9280143107690593e-05, + "loss": 0.948, + "step": 6277 + }, + { + "epoch": 0.15, + "grad_norm": 1.9366549224306087, + "learning_rate": 1.9279858813889246e-05, + "loss": 0.8542, + "step": 6278 + }, + { + "epoch": 0.15, + "grad_norm": 3.08823185433039, + "learning_rate": 1.927957446605762e-05, + "loss": 0.9984, + "step": 6279 + }, + { + "epoch": 0.15, + "grad_norm": 1.9855265664403863, + "learning_rate": 1.9279290064197375e-05, + "loss": 0.8137, + "step": 6280 + }, + { + "epoch": 0.15, + "grad_norm": 1.9504215158270874, + "learning_rate": 1.9279005608310165e-05, + "loss": 0.8667, + "step": 6281 + }, + { + "epoch": 0.15, + "grad_norm": 1.8201254240552802, + "learning_rate": 1.9278721098397645e-05, + "loss": 1.0627, + "step": 6282 + }, + { + "epoch": 0.15, + "grad_norm": 1.6493778329415394, + "learning_rate": 1.9278436534461476e-05, + "loss": 0.7846, + "step": 6283 + }, + { + "epoch": 0.15, + "grad_norm": 1.7490494969158261, + "learning_rate": 1.927815191650331e-05, + "loss": 1.0517, + "step": 6284 + }, + { + "epoch": 0.15, + "grad_norm": 0.8083716431350805, + "learning_rate": 1.9277867244524805e-05, + "loss": 0.7994, + "step": 6285 + }, + { + "epoch": 0.15, + "grad_norm": 1.6604704631222256, + "learning_rate": 1.927758251852762e-05, + "loss": 0.8846, + "step": 6286 + }, + { + "epoch": 0.15, + "grad_norm": 1.8154162405910375, + "learning_rate": 1.9277297738513415e-05, + "loss": 0.8927, + "step": 6287 + }, + { + "epoch": 0.15, + "grad_norm": 1.8968500246050457, + "learning_rate": 1.9277012904483846e-05, + "loss": 0.944, + "step": 6288 + }, + { + "epoch": 0.15, + "grad_norm": 1.7115738550592372, + "learning_rate": 1.927672801644057e-05, + "loss": 0.9386, + "step": 6289 + }, + { + "epoch": 0.15, + "grad_norm": 2.354330839095586, + "learning_rate": 1.9276443074385246e-05, + "loss": 1.1388, + "step": 6290 + }, + { + "epoch": 0.15, + "grad_norm": 2.026112103492996, + "learning_rate": 1.927615807831953e-05, + "loss": 0.865, + "step": 6291 + }, + { + "epoch": 0.15, + "grad_norm": 0.7478632674180125, + "learning_rate": 1.927587302824509e-05, + "loss": 0.7886, + "step": 6292 + }, + { + "epoch": 0.15, + "grad_norm": 1.8841884544930687, + "learning_rate": 1.9275587924163578e-05, + "loss": 0.8948, + "step": 6293 + }, + { + "epoch": 0.15, + "grad_norm": 0.7434672182286023, + "learning_rate": 1.927530276607666e-05, + "loss": 0.8138, + "step": 6294 + }, + { + "epoch": 0.15, + "grad_norm": 1.8741622013868433, + "learning_rate": 1.9275017553985986e-05, + "loss": 1.022, + "step": 6295 + }, + { + "epoch": 0.15, + "grad_norm": 1.4972907617191504, + "learning_rate": 1.927473228789323e-05, + "loss": 0.8056, + "step": 6296 + }, + { + "epoch": 0.15, + "grad_norm": 0.8350062951586944, + "learning_rate": 1.927444696780004e-05, + "loss": 0.7418, + "step": 6297 + }, + { + "epoch": 0.15, + "grad_norm": 1.7984892546545246, + "learning_rate": 1.9274161593708086e-05, + "loss": 1.077, + "step": 6298 + }, + { + "epoch": 0.15, + "grad_norm": 0.7655461670121253, + "learning_rate": 1.927387616561903e-05, + "loss": 0.7443, + "step": 6299 + }, + { + "epoch": 0.15, + "grad_norm": 0.8025652007143426, + "learning_rate": 1.927359068353453e-05, + "loss": 0.7308, + "step": 6300 + }, + { + "epoch": 0.15, + "grad_norm": 1.7135560401445589, + "learning_rate": 1.9273305147456247e-05, + "loss": 0.8043, + "step": 6301 + }, + { + "epoch": 0.15, + "grad_norm": 1.552673120272585, + "learning_rate": 1.9273019557385845e-05, + "loss": 1.0047, + "step": 6302 + }, + { + "epoch": 0.15, + "grad_norm": 1.8243347559834802, + "learning_rate": 1.927273391332499e-05, + "loss": 0.9595, + "step": 6303 + }, + { + "epoch": 0.15, + "grad_norm": 1.884706858552018, + "learning_rate": 1.927244821527534e-05, + "loss": 0.8852, + "step": 6304 + }, + { + "epoch": 0.15, + "grad_norm": 2.092190076905518, + "learning_rate": 1.9272162463238562e-05, + "loss": 0.8676, + "step": 6305 + }, + { + "epoch": 0.15, + "grad_norm": 1.6405772774502254, + "learning_rate": 1.927187665721632e-05, + "loss": 0.9894, + "step": 6306 + }, + { + "epoch": 0.15, + "grad_norm": 1.7357659840597122, + "learning_rate": 1.9271590797210276e-05, + "loss": 0.7722, + "step": 6307 + }, + { + "epoch": 0.15, + "grad_norm": 1.8450492535599907, + "learning_rate": 1.9271304883222095e-05, + "loss": 1.0154, + "step": 6308 + }, + { + "epoch": 0.15, + "grad_norm": 1.649007511506769, + "learning_rate": 1.927101891525344e-05, + "loss": 0.8467, + "step": 6309 + }, + { + "epoch": 0.15, + "grad_norm": 1.5311474269492937, + "learning_rate": 1.927073289330598e-05, + "loss": 1.1346, + "step": 6310 + }, + { + "epoch": 0.15, + "grad_norm": 2.159334890583792, + "learning_rate": 1.9270446817381377e-05, + "loss": 0.7812, + "step": 6311 + }, + { + "epoch": 0.15, + "grad_norm": 0.7657804735737662, + "learning_rate": 1.9270160687481296e-05, + "loss": 0.7408, + "step": 6312 + }, + { + "epoch": 0.15, + "grad_norm": 2.179179550156821, + "learning_rate": 1.926987450360741e-05, + "loss": 1.0003, + "step": 6313 + }, + { + "epoch": 0.15, + "grad_norm": 0.7839604278089181, + "learning_rate": 1.9269588265761374e-05, + "loss": 0.7464, + "step": 6314 + }, + { + "epoch": 0.15, + "grad_norm": 2.0191198402546657, + "learning_rate": 1.9269301973944864e-05, + "loss": 0.9364, + "step": 6315 + }, + { + "epoch": 0.15, + "grad_norm": 2.1688603434215645, + "learning_rate": 1.926901562815954e-05, + "loss": 0.7332, + "step": 6316 + }, + { + "epoch": 0.15, + "grad_norm": 1.6749428154987664, + "learning_rate": 1.9268729228407076e-05, + "loss": 0.8999, + "step": 6317 + }, + { + "epoch": 0.15, + "grad_norm": 0.7297135086613925, + "learning_rate": 1.9268442774689132e-05, + "loss": 0.6874, + "step": 6318 + }, + { + "epoch": 0.15, + "grad_norm": 1.5990649437510316, + "learning_rate": 1.9268156267007383e-05, + "loss": 0.9849, + "step": 6319 + }, + { + "epoch": 0.15, + "grad_norm": 0.7843406929749452, + "learning_rate": 1.9267869705363493e-05, + "loss": 0.6958, + "step": 6320 + }, + { + "epoch": 0.15, + "grad_norm": 1.965851824035777, + "learning_rate": 1.926758308975913e-05, + "loss": 0.9817, + "step": 6321 + }, + { + "epoch": 0.15, + "grad_norm": 2.1552470182206984, + "learning_rate": 1.9267296420195966e-05, + "loss": 0.8224, + "step": 6322 + }, + { + "epoch": 0.15, + "grad_norm": 0.806073809776275, + "learning_rate": 1.926700969667567e-05, + "loss": 0.7498, + "step": 6323 + }, + { + "epoch": 0.15, + "grad_norm": 1.8292680421051857, + "learning_rate": 1.9266722919199907e-05, + "loss": 0.8213, + "step": 6324 + }, + { + "epoch": 0.15, + "grad_norm": 1.590610652811131, + "learning_rate": 1.926643608777035e-05, + "loss": 0.8536, + "step": 6325 + }, + { + "epoch": 0.15, + "grad_norm": 1.7485311290120147, + "learning_rate": 1.926614920238867e-05, + "loss": 0.9752, + "step": 6326 + }, + { + "epoch": 0.15, + "grad_norm": 1.8965551370384737, + "learning_rate": 1.926586226305653e-05, + "loss": 0.9687, + "step": 6327 + }, + { + "epoch": 0.15, + "grad_norm": 1.645020469266551, + "learning_rate": 1.9265575269775612e-05, + "loss": 0.9301, + "step": 6328 + }, + { + "epoch": 0.15, + "grad_norm": 1.6385303629340109, + "learning_rate": 1.926528822254758e-05, + "loss": 0.8627, + "step": 6329 + }, + { + "epoch": 0.15, + "grad_norm": 1.5096179444552953, + "learning_rate": 1.9265001121374108e-05, + "loss": 0.9671, + "step": 6330 + }, + { + "epoch": 0.15, + "grad_norm": 1.7283594574465608, + "learning_rate": 1.9264713966256864e-05, + "loss": 0.928, + "step": 6331 + }, + { + "epoch": 0.15, + "grad_norm": 1.988885223295562, + "learning_rate": 1.9264426757197523e-05, + "loss": 0.8772, + "step": 6332 + }, + { + "epoch": 0.15, + "grad_norm": 1.7846775520911489, + "learning_rate": 1.9264139494197755e-05, + "loss": 0.7871, + "step": 6333 + }, + { + "epoch": 0.15, + "grad_norm": 1.7058670671456428, + "learning_rate": 1.9263852177259234e-05, + "loss": 0.8467, + "step": 6334 + }, + { + "epoch": 0.15, + "grad_norm": 1.594831606934272, + "learning_rate": 1.9263564806383637e-05, + "loss": 0.8548, + "step": 6335 + }, + { + "epoch": 0.15, + "grad_norm": 2.1026324046100524, + "learning_rate": 1.9263277381572628e-05, + "loss": 0.7815, + "step": 6336 + }, + { + "epoch": 0.15, + "grad_norm": 1.8899273148321902, + "learning_rate": 1.926298990282789e-05, + "loss": 0.917, + "step": 6337 + }, + { + "epoch": 0.15, + "grad_norm": 1.6494056730278648, + "learning_rate": 1.9262702370151087e-05, + "loss": 0.7973, + "step": 6338 + }, + { + "epoch": 0.15, + "grad_norm": 0.847365990524411, + "learning_rate": 1.92624147835439e-05, + "loss": 0.7463, + "step": 6339 + }, + { + "epoch": 0.15, + "grad_norm": 1.8046291368683853, + "learning_rate": 1.9262127143008e-05, + "loss": 0.979, + "step": 6340 + }, + { + "epoch": 0.15, + "grad_norm": 0.7745097681162137, + "learning_rate": 1.9261839448545066e-05, + "loss": 0.7829, + "step": 6341 + }, + { + "epoch": 0.15, + "grad_norm": 0.8474950574309149, + "learning_rate": 1.926155170015677e-05, + "loss": 0.7141, + "step": 6342 + }, + { + "epoch": 0.15, + "grad_norm": 1.9432628034913295, + "learning_rate": 1.926126389784479e-05, + "loss": 0.9966, + "step": 6343 + }, + { + "epoch": 0.15, + "grad_norm": 1.829489872210292, + "learning_rate": 1.9260976041610797e-05, + "loss": 0.9622, + "step": 6344 + }, + { + "epoch": 0.15, + "grad_norm": 0.7475045491098282, + "learning_rate": 1.926068813145647e-05, + "loss": 0.7243, + "step": 6345 + }, + { + "epoch": 0.15, + "grad_norm": 0.7637268414237588, + "learning_rate": 1.9260400167383485e-05, + "loss": 0.6913, + "step": 6346 + }, + { + "epoch": 0.15, + "grad_norm": 1.6597401793022355, + "learning_rate": 1.9260112149393517e-05, + "loss": 0.9245, + "step": 6347 + }, + { + "epoch": 0.15, + "grad_norm": 0.8093433330839542, + "learning_rate": 1.9259824077488248e-05, + "loss": 0.738, + "step": 6348 + }, + { + "epoch": 0.15, + "grad_norm": 0.7821090774802124, + "learning_rate": 1.925953595166935e-05, + "loss": 0.7341, + "step": 6349 + }, + { + "epoch": 0.15, + "grad_norm": 1.977937949903086, + "learning_rate": 1.92592477719385e-05, + "loss": 0.8394, + "step": 6350 + }, + { + "epoch": 0.15, + "grad_norm": 1.7562426070888364, + "learning_rate": 1.925895953829738e-05, + "loss": 0.9001, + "step": 6351 + }, + { + "epoch": 0.15, + "grad_norm": 1.6901387421940586, + "learning_rate": 1.9258671250747665e-05, + "loss": 0.9064, + "step": 6352 + }, + { + "epoch": 0.15, + "grad_norm": 1.861902655502834, + "learning_rate": 1.9258382909291037e-05, + "loss": 0.8824, + "step": 6353 + }, + { + "epoch": 0.15, + "grad_norm": 1.6454256335241813, + "learning_rate": 1.925809451392917e-05, + "loss": 0.9338, + "step": 6354 + }, + { + "epoch": 0.15, + "grad_norm": 1.7181006079213885, + "learning_rate": 1.9257806064663746e-05, + "loss": 0.9062, + "step": 6355 + }, + { + "epoch": 0.15, + "grad_norm": 1.6445602341843524, + "learning_rate": 1.9257517561496443e-05, + "loss": 0.9739, + "step": 6356 + }, + { + "epoch": 0.15, + "grad_norm": 0.7801387899558161, + "learning_rate": 1.9257229004428944e-05, + "loss": 0.749, + "step": 6357 + }, + { + "epoch": 0.15, + "grad_norm": 1.7330530258683021, + "learning_rate": 1.925694039346293e-05, + "loss": 0.9408, + "step": 6358 + }, + { + "epoch": 0.15, + "grad_norm": 1.8489028226978637, + "learning_rate": 1.9256651728600073e-05, + "loss": 1.0163, + "step": 6359 + }, + { + "epoch": 0.15, + "grad_norm": 1.9166277286292424, + "learning_rate": 1.925636300984206e-05, + "loss": 0.8957, + "step": 6360 + }, + { + "epoch": 0.15, + "grad_norm": 1.561610191943024, + "learning_rate": 1.9256074237190573e-05, + "loss": 0.9271, + "step": 6361 + }, + { + "epoch": 0.15, + "grad_norm": 1.7361928985519406, + "learning_rate": 1.925578541064729e-05, + "loss": 0.9038, + "step": 6362 + }, + { + "epoch": 0.15, + "grad_norm": 1.655938093878207, + "learning_rate": 1.9255496530213895e-05, + "loss": 0.9054, + "step": 6363 + }, + { + "epoch": 0.15, + "grad_norm": 1.5448408430730725, + "learning_rate": 1.925520759589207e-05, + "loss": 0.8129, + "step": 6364 + }, + { + "epoch": 0.15, + "grad_norm": 1.8053244567454176, + "learning_rate": 1.9254918607683493e-05, + "loss": 0.88, + "step": 6365 + }, + { + "epoch": 0.15, + "grad_norm": 1.99328670189825, + "learning_rate": 1.925462956558985e-05, + "loss": 0.986, + "step": 6366 + }, + { + "epoch": 0.15, + "grad_norm": 1.7212034126803122, + "learning_rate": 1.9254340469612826e-05, + "loss": 0.7652, + "step": 6367 + }, + { + "epoch": 0.15, + "grad_norm": 1.6672399940553762, + "learning_rate": 1.9254051319754103e-05, + "loss": 0.9651, + "step": 6368 + }, + { + "epoch": 0.15, + "grad_norm": 1.4611464124510534, + "learning_rate": 1.925376211601536e-05, + "loss": 1.0507, + "step": 6369 + }, + { + "epoch": 0.15, + "grad_norm": 1.4855852427619778, + "learning_rate": 1.9253472858398284e-05, + "loss": 0.8675, + "step": 6370 + }, + { + "epoch": 0.15, + "grad_norm": 2.0022390862374233, + "learning_rate": 1.925318354690456e-05, + "loss": 0.9585, + "step": 6371 + }, + { + "epoch": 0.15, + "grad_norm": 0.7950509070825656, + "learning_rate": 1.9252894181535874e-05, + "loss": 0.7146, + "step": 6372 + }, + { + "epoch": 0.15, + "grad_norm": 1.616913058782382, + "learning_rate": 1.9252604762293908e-05, + "loss": 0.7571, + "step": 6373 + }, + { + "epoch": 0.15, + "grad_norm": 1.5774100456671412, + "learning_rate": 1.9252315289180348e-05, + "loss": 0.8366, + "step": 6374 + }, + { + "epoch": 0.15, + "grad_norm": 1.934813289160634, + "learning_rate": 1.9252025762196878e-05, + "loss": 0.918, + "step": 6375 + }, + { + "epoch": 0.15, + "grad_norm": 2.087950761456915, + "learning_rate": 1.9251736181345186e-05, + "loss": 0.9298, + "step": 6376 + }, + { + "epoch": 0.15, + "grad_norm": 1.6580713196051404, + "learning_rate": 1.925144654662696e-05, + "loss": 0.882, + "step": 6377 + }, + { + "epoch": 0.15, + "grad_norm": 1.6055970219569426, + "learning_rate": 1.9251156858043877e-05, + "loss": 0.987, + "step": 6378 + }, + { + "epoch": 0.15, + "grad_norm": 1.816219457640612, + "learning_rate": 1.925086711559763e-05, + "loss": 1.0877, + "step": 6379 + }, + { + "epoch": 0.15, + "grad_norm": 1.6359961853746534, + "learning_rate": 1.9250577319289912e-05, + "loss": 0.9432, + "step": 6380 + }, + { + "epoch": 0.15, + "grad_norm": 1.8409603608546574, + "learning_rate": 1.92502874691224e-05, + "loss": 0.8605, + "step": 6381 + }, + { + "epoch": 0.15, + "grad_norm": 1.6921554707729527, + "learning_rate": 1.9249997565096783e-05, + "loss": 0.9776, + "step": 6382 + }, + { + "epoch": 0.15, + "grad_norm": 2.3706255382794206, + "learning_rate": 1.9249707607214757e-05, + "loss": 0.931, + "step": 6383 + }, + { + "epoch": 0.15, + "grad_norm": 1.7661003662258878, + "learning_rate": 1.9249417595478005e-05, + "loss": 0.8673, + "step": 6384 + }, + { + "epoch": 0.15, + "grad_norm": 2.0126744497539923, + "learning_rate": 1.9249127529888212e-05, + "loss": 0.8964, + "step": 6385 + }, + { + "epoch": 0.15, + "grad_norm": 1.6885352973053618, + "learning_rate": 1.924883741044707e-05, + "loss": 0.9608, + "step": 6386 + }, + { + "epoch": 0.15, + "grad_norm": 2.1757907499243148, + "learning_rate": 1.924854723715627e-05, + "loss": 0.8272, + "step": 6387 + }, + { + "epoch": 0.15, + "grad_norm": 1.6100724925777892, + "learning_rate": 1.92482570100175e-05, + "loss": 0.9484, + "step": 6388 + }, + { + "epoch": 0.15, + "grad_norm": 2.2473890578905964, + "learning_rate": 1.924796672903245e-05, + "loss": 0.9076, + "step": 6389 + }, + { + "epoch": 0.15, + "grad_norm": 0.7668097903432699, + "learning_rate": 1.924767639420281e-05, + "loss": 0.7431, + "step": 6390 + }, + { + "epoch": 0.15, + "grad_norm": 1.7649115770712838, + "learning_rate": 1.924738600553027e-05, + "loss": 0.9692, + "step": 6391 + }, + { + "epoch": 0.15, + "grad_norm": 1.5499827819363174, + "learning_rate": 1.924709556301652e-05, + "loss": 0.9507, + "step": 6392 + }, + { + "epoch": 0.15, + "grad_norm": 2.447985180702764, + "learning_rate": 1.9246805066663255e-05, + "loss": 0.8582, + "step": 6393 + }, + { + "epoch": 0.15, + "grad_norm": 1.5233966190327453, + "learning_rate": 1.9246514516472157e-05, + "loss": 1.0283, + "step": 6394 + }, + { + "epoch": 0.15, + "grad_norm": 2.1648026172800803, + "learning_rate": 1.9246223912444933e-05, + "loss": 0.9054, + "step": 6395 + }, + { + "epoch": 0.15, + "grad_norm": 2.263489400445162, + "learning_rate": 1.924593325458326e-05, + "loss": 0.8438, + "step": 6396 + }, + { + "epoch": 0.15, + "grad_norm": 1.9575252773434177, + "learning_rate": 1.9245642542888836e-05, + "loss": 0.8911, + "step": 6397 + }, + { + "epoch": 0.15, + "grad_norm": 1.5651496224616157, + "learning_rate": 1.9245351777363355e-05, + "loss": 1.0434, + "step": 6398 + }, + { + "epoch": 0.15, + "grad_norm": 1.829367453464796, + "learning_rate": 1.924506095800851e-05, + "loss": 0.8735, + "step": 6399 + }, + { + "epoch": 0.15, + "grad_norm": 1.6504408722908617, + "learning_rate": 1.9244770084825993e-05, + "loss": 0.8464, + "step": 6400 + }, + { + "epoch": 0.15, + "grad_norm": 1.8360358308428246, + "learning_rate": 1.92444791578175e-05, + "loss": 0.8551, + "step": 6401 + }, + { + "epoch": 0.15, + "grad_norm": 1.76850645320693, + "learning_rate": 1.924418817698472e-05, + "loss": 0.9617, + "step": 6402 + }, + { + "epoch": 0.15, + "grad_norm": 1.6091447629597053, + "learning_rate": 1.9243897142329347e-05, + "loss": 0.8865, + "step": 6403 + }, + { + "epoch": 0.15, + "grad_norm": 1.6247205852230482, + "learning_rate": 1.9243606053853084e-05, + "loss": 1.0187, + "step": 6404 + }, + { + "epoch": 0.15, + "grad_norm": 1.616095737028039, + "learning_rate": 1.9243314911557614e-05, + "loss": 0.8285, + "step": 6405 + }, + { + "epoch": 0.15, + "grad_norm": 1.8805584531876283, + "learning_rate": 1.9243023715444646e-05, + "loss": 0.9013, + "step": 6406 + }, + { + "epoch": 0.15, + "grad_norm": 1.7769551670632597, + "learning_rate": 1.9242732465515862e-05, + "loss": 0.9172, + "step": 6407 + }, + { + "epoch": 0.15, + "grad_norm": 1.8679166479091998, + "learning_rate": 1.9242441161772965e-05, + "loss": 0.8764, + "step": 6408 + }, + { + "epoch": 0.15, + "grad_norm": 1.9457473694753014, + "learning_rate": 1.9242149804217648e-05, + "loss": 0.9433, + "step": 6409 + }, + { + "epoch": 0.15, + "grad_norm": 2.2327464840301015, + "learning_rate": 1.9241858392851612e-05, + "loss": 0.8294, + "step": 6410 + }, + { + "epoch": 0.15, + "grad_norm": 1.5566625357974024, + "learning_rate": 1.9241566927676548e-05, + "loss": 0.8962, + "step": 6411 + }, + { + "epoch": 0.15, + "grad_norm": 2.189199175304309, + "learning_rate": 1.9241275408694156e-05, + "loss": 0.9126, + "step": 6412 + }, + { + "epoch": 0.15, + "grad_norm": 1.6458995646187078, + "learning_rate": 1.924098383590613e-05, + "loss": 0.8821, + "step": 6413 + }, + { + "epoch": 0.15, + "grad_norm": 1.636096624932424, + "learning_rate": 1.9240692209314176e-05, + "loss": 0.9927, + "step": 6414 + }, + { + "epoch": 0.15, + "grad_norm": 1.6723040554773774, + "learning_rate": 1.9240400528919983e-05, + "loss": 0.9168, + "step": 6415 + }, + { + "epoch": 0.15, + "grad_norm": 1.8168444742561884, + "learning_rate": 1.9240108794725252e-05, + "loss": 1.0162, + "step": 6416 + }, + { + "epoch": 0.15, + "grad_norm": 1.6412521121877657, + "learning_rate": 1.9239817006731684e-05, + "loss": 0.8117, + "step": 6417 + }, + { + "epoch": 0.15, + "grad_norm": 1.9665018527796727, + "learning_rate": 1.9239525164940977e-05, + "loss": 0.8084, + "step": 6418 + }, + { + "epoch": 0.15, + "grad_norm": 0.8148922704529729, + "learning_rate": 1.9239233269354828e-05, + "loss": 0.8233, + "step": 6419 + }, + { + "epoch": 0.15, + "grad_norm": 1.561783551939028, + "learning_rate": 1.9238941319974938e-05, + "loss": 0.9099, + "step": 6420 + }, + { + "epoch": 0.15, + "grad_norm": 0.767507540015841, + "learning_rate": 1.9238649316803004e-05, + "loss": 0.7552, + "step": 6421 + }, + { + "epoch": 0.15, + "grad_norm": 1.6282199394628052, + "learning_rate": 1.923835725984073e-05, + "loss": 1.026, + "step": 6422 + }, + { + "epoch": 0.15, + "grad_norm": 1.7755433642498017, + "learning_rate": 1.923806514908982e-05, + "loss": 0.8953, + "step": 6423 + }, + { + "epoch": 0.15, + "grad_norm": 1.6163923135846217, + "learning_rate": 1.9237772984551966e-05, + "loss": 0.8714, + "step": 6424 + }, + { + "epoch": 0.15, + "grad_norm": 1.8564469300552244, + "learning_rate": 1.9237480766228872e-05, + "loss": 0.8662, + "step": 6425 + }, + { + "epoch": 0.15, + "grad_norm": 1.8847618735478675, + "learning_rate": 1.923718849412224e-05, + "loss": 0.8811, + "step": 6426 + }, + { + "epoch": 0.15, + "grad_norm": 2.1888380547496515, + "learning_rate": 1.9236896168233775e-05, + "loss": 1.0363, + "step": 6427 + }, + { + "epoch": 0.15, + "grad_norm": 1.6494529786863295, + "learning_rate": 1.9236603788565176e-05, + "loss": 0.9096, + "step": 6428 + }, + { + "epoch": 0.15, + "grad_norm": 2.0695992537862593, + "learning_rate": 1.9236311355118144e-05, + "loss": 0.8963, + "step": 6429 + }, + { + "epoch": 0.15, + "grad_norm": 0.7928644799032277, + "learning_rate": 1.9236018867894382e-05, + "loss": 0.7378, + "step": 6430 + }, + { + "epoch": 0.15, + "grad_norm": 1.6364793334386536, + "learning_rate": 1.9235726326895595e-05, + "loss": 0.98, + "step": 6431 + }, + { + "epoch": 0.15, + "grad_norm": 1.6355156067592989, + "learning_rate": 1.9235433732123488e-05, + "loss": 0.8552, + "step": 6432 + }, + { + "epoch": 0.15, + "grad_norm": 1.5607268370251013, + "learning_rate": 1.923514108357976e-05, + "loss": 0.8889, + "step": 6433 + }, + { + "epoch": 0.15, + "grad_norm": 2.1928641929254566, + "learning_rate": 1.9234848381266117e-05, + "loss": 0.905, + "step": 6434 + }, + { + "epoch": 0.15, + "grad_norm": 1.6188627971260237, + "learning_rate": 1.9234555625184265e-05, + "loss": 0.8895, + "step": 6435 + }, + { + "epoch": 0.15, + "grad_norm": 1.6522820595910515, + "learning_rate": 1.9234262815335903e-05, + "loss": 0.9238, + "step": 6436 + }, + { + "epoch": 0.15, + "grad_norm": 1.4750923662049773, + "learning_rate": 1.923396995172274e-05, + "loss": 0.8858, + "step": 6437 + }, + { + "epoch": 0.15, + "grad_norm": 1.7160300543961804, + "learning_rate": 1.9233677034346484e-05, + "loss": 1.0015, + "step": 6438 + }, + { + "epoch": 0.15, + "grad_norm": 0.8407782714138252, + "learning_rate": 1.923338406320883e-05, + "loss": 0.7528, + "step": 6439 + }, + { + "epoch": 0.15, + "grad_norm": 1.5457062150285277, + "learning_rate": 1.92330910383115e-05, + "loss": 0.981, + "step": 6440 + }, + { + "epoch": 0.15, + "grad_norm": 3.1394924586614974, + "learning_rate": 1.9232797959656184e-05, + "loss": 1.0855, + "step": 6441 + }, + { + "epoch": 0.15, + "grad_norm": 1.663702665509608, + "learning_rate": 1.9232504827244594e-05, + "loss": 0.9257, + "step": 6442 + }, + { + "epoch": 0.15, + "grad_norm": 1.8059372411914878, + "learning_rate": 1.9232211641078443e-05, + "loss": 1.1357, + "step": 6443 + }, + { + "epoch": 0.15, + "grad_norm": 2.0598858321840434, + "learning_rate": 1.9231918401159433e-05, + "loss": 0.7803, + "step": 6444 + }, + { + "epoch": 0.15, + "grad_norm": 1.6349939005662888, + "learning_rate": 1.923162510748927e-05, + "loss": 0.9739, + "step": 6445 + }, + { + "epoch": 0.15, + "grad_norm": 2.350325429049454, + "learning_rate": 1.9231331760069662e-05, + "loss": 0.9903, + "step": 6446 + }, + { + "epoch": 0.15, + "grad_norm": 1.6429595307249025, + "learning_rate": 1.9231038358902317e-05, + "loss": 0.8819, + "step": 6447 + }, + { + "epoch": 0.15, + "grad_norm": 1.679077732844582, + "learning_rate": 1.9230744903988943e-05, + "loss": 0.7914, + "step": 6448 + }, + { + "epoch": 0.15, + "grad_norm": 2.251506129289405, + "learning_rate": 1.9230451395331253e-05, + "loss": 0.8331, + "step": 6449 + }, + { + "epoch": 0.15, + "grad_norm": 1.773938554038058, + "learning_rate": 1.9230157832930953e-05, + "loss": 0.7589, + "step": 6450 + }, + { + "epoch": 0.15, + "grad_norm": 1.677510743643162, + "learning_rate": 1.922986421678975e-05, + "loss": 0.9502, + "step": 6451 + }, + { + "epoch": 0.15, + "grad_norm": 1.7405263171244858, + "learning_rate": 1.9229570546909354e-05, + "loss": 0.9449, + "step": 6452 + }, + { + "epoch": 0.15, + "grad_norm": 2.037064258327508, + "learning_rate": 1.922927682329148e-05, + "loss": 0.8947, + "step": 6453 + }, + { + "epoch": 0.15, + "grad_norm": 1.6062271164013326, + "learning_rate": 1.922898304593783e-05, + "loss": 0.8216, + "step": 6454 + }, + { + "epoch": 0.15, + "grad_norm": 1.6552918381251978, + "learning_rate": 1.922868921485012e-05, + "loss": 0.8937, + "step": 6455 + }, + { + "epoch": 0.15, + "grad_norm": 1.5380969967141755, + "learning_rate": 1.9228395330030064e-05, + "loss": 0.9088, + "step": 6456 + }, + { + "epoch": 0.15, + "grad_norm": 2.0709625805563805, + "learning_rate": 1.9228101391479366e-05, + "loss": 0.9836, + "step": 6457 + }, + { + "epoch": 0.15, + "grad_norm": 0.761406899902661, + "learning_rate": 1.922780739919974e-05, + "loss": 0.7496, + "step": 6458 + }, + { + "epoch": 0.15, + "grad_norm": 1.9481153779121894, + "learning_rate": 1.9227513353192895e-05, + "loss": 0.8117, + "step": 6459 + }, + { + "epoch": 0.15, + "grad_norm": 2.4297811173409523, + "learning_rate": 1.9227219253460552e-05, + "loss": 0.9966, + "step": 6460 + }, + { + "epoch": 0.15, + "grad_norm": 1.9335452414458205, + "learning_rate": 1.9226925100004415e-05, + "loss": 0.8693, + "step": 6461 + }, + { + "epoch": 0.15, + "grad_norm": 0.7601202885147457, + "learning_rate": 1.9226630892826196e-05, + "loss": 0.7733, + "step": 6462 + }, + { + "epoch": 0.15, + "grad_norm": 1.5812109666155854, + "learning_rate": 1.9226336631927613e-05, + "loss": 1.0403, + "step": 6463 + }, + { + "epoch": 0.15, + "grad_norm": 1.6670921462586243, + "learning_rate": 1.9226042317310377e-05, + "loss": 0.9173, + "step": 6464 + }, + { + "epoch": 0.15, + "grad_norm": 0.8247906267093731, + "learning_rate": 1.9225747948976205e-05, + "loss": 0.7774, + "step": 6465 + }, + { + "epoch": 0.15, + "grad_norm": 1.7290493112804475, + "learning_rate": 1.92254535269268e-05, + "loss": 0.854, + "step": 6466 + }, + { + "epoch": 0.15, + "grad_norm": 2.0987013698130776, + "learning_rate": 1.9225159051163888e-05, + "loss": 1.0011, + "step": 6467 + }, + { + "epoch": 0.15, + "grad_norm": 1.690138477267603, + "learning_rate": 1.9224864521689182e-05, + "loss": 0.9192, + "step": 6468 + }, + { + "epoch": 0.15, + "grad_norm": 1.6395838020532836, + "learning_rate": 1.922456993850439e-05, + "loss": 1.0024, + "step": 6469 + }, + { + "epoch": 0.15, + "grad_norm": 1.592687989574276, + "learning_rate": 1.9224275301611234e-05, + "loss": 0.8553, + "step": 6470 + }, + { + "epoch": 0.15, + "grad_norm": 2.491190064688413, + "learning_rate": 1.9223980611011424e-05, + "loss": 0.9348, + "step": 6471 + }, + { + "epoch": 0.15, + "grad_norm": 1.7393104082187858, + "learning_rate": 1.922368586670668e-05, + "loss": 0.9732, + "step": 6472 + }, + { + "epoch": 0.15, + "grad_norm": 1.7340349658653866, + "learning_rate": 1.9223391068698717e-05, + "loss": 1.0517, + "step": 6473 + }, + { + "epoch": 0.15, + "grad_norm": 1.5572116765848472, + "learning_rate": 1.9223096216989253e-05, + "loss": 1.0248, + "step": 6474 + }, + { + "epoch": 0.15, + "grad_norm": 1.7176144618112525, + "learning_rate": 1.922280131158e-05, + "loss": 1.0399, + "step": 6475 + }, + { + "epoch": 0.15, + "grad_norm": 1.5827154803952952, + "learning_rate": 1.9222506352472677e-05, + "loss": 0.8611, + "step": 6476 + }, + { + "epoch": 0.15, + "grad_norm": 1.6752589943138987, + "learning_rate": 1.9222211339669005e-05, + "loss": 0.8861, + "step": 6477 + }, + { + "epoch": 0.15, + "grad_norm": 1.9851955850610992, + "learning_rate": 1.9221916273170697e-05, + "loss": 0.9624, + "step": 6478 + }, + { + "epoch": 0.15, + "grad_norm": 2.8373563582041554, + "learning_rate": 1.9221621152979476e-05, + "loss": 0.9425, + "step": 6479 + }, + { + "epoch": 0.15, + "grad_norm": 1.9332534872964318, + "learning_rate": 1.9221325979097053e-05, + "loss": 0.8713, + "step": 6480 + }, + { + "epoch": 0.15, + "grad_norm": 0.7903888413661682, + "learning_rate": 1.9221030751525154e-05, + "loss": 0.7819, + "step": 6481 + }, + { + "epoch": 0.15, + "grad_norm": 1.6626944635582424, + "learning_rate": 1.9220735470265492e-05, + "loss": 0.8993, + "step": 6482 + }, + { + "epoch": 0.15, + "grad_norm": 0.7613456473888004, + "learning_rate": 1.9220440135319794e-05, + "loss": 0.7209, + "step": 6483 + }, + { + "epoch": 0.15, + "grad_norm": 2.248581518452184, + "learning_rate": 1.9220144746689768e-05, + "loss": 0.9817, + "step": 6484 + }, + { + "epoch": 0.15, + "grad_norm": 1.743835347813036, + "learning_rate": 1.9219849304377142e-05, + "loss": 0.9271, + "step": 6485 + }, + { + "epoch": 0.15, + "grad_norm": 1.4657666016951043, + "learning_rate": 1.9219553808383636e-05, + "loss": 0.8888, + "step": 6486 + }, + { + "epoch": 0.15, + "grad_norm": 1.8502530247985878, + "learning_rate": 1.921925825871097e-05, + "loss": 0.8026, + "step": 6487 + }, + { + "epoch": 0.15, + "grad_norm": 3.0400408258147325, + "learning_rate": 1.921896265536086e-05, + "loss": 1.0567, + "step": 6488 + }, + { + "epoch": 0.15, + "grad_norm": 1.715291284026423, + "learning_rate": 1.9218666998335034e-05, + "loss": 0.9817, + "step": 6489 + }, + { + "epoch": 0.15, + "grad_norm": 1.949944059901786, + "learning_rate": 1.921837128763521e-05, + "loss": 0.9413, + "step": 6490 + }, + { + "epoch": 0.15, + "grad_norm": 4.192314077409652, + "learning_rate": 1.9218075523263104e-05, + "loss": 0.9132, + "step": 6491 + }, + { + "epoch": 0.15, + "grad_norm": 1.573490762315899, + "learning_rate": 1.9217779705220452e-05, + "loss": 0.7861, + "step": 6492 + }, + { + "epoch": 0.15, + "grad_norm": 1.6274058527908526, + "learning_rate": 1.9217483833508962e-05, + "loss": 0.9016, + "step": 6493 + }, + { + "epoch": 0.15, + "grad_norm": 1.5935628155036579, + "learning_rate": 1.921718790813037e-05, + "loss": 0.9464, + "step": 6494 + }, + { + "epoch": 0.15, + "grad_norm": 1.6530251947249148, + "learning_rate": 1.9216891929086382e-05, + "loss": 0.8253, + "step": 6495 + }, + { + "epoch": 0.15, + "grad_norm": 1.7191480817700258, + "learning_rate": 1.9216595896378737e-05, + "loss": 0.9245, + "step": 6496 + }, + { + "epoch": 0.15, + "grad_norm": 1.7550111610355756, + "learning_rate": 1.9216299810009156e-05, + "loss": 0.8477, + "step": 6497 + }, + { + "epoch": 0.15, + "grad_norm": 1.6869342570524894, + "learning_rate": 1.9216003669979356e-05, + "loss": 0.8076, + "step": 6498 + }, + { + "epoch": 0.15, + "grad_norm": 1.8374401243113463, + "learning_rate": 1.9215707476291064e-05, + "loss": 0.9143, + "step": 6499 + }, + { + "epoch": 0.15, + "grad_norm": 1.673817861563376, + "learning_rate": 1.9215411228946005e-05, + "loss": 0.9093, + "step": 6500 + }, + { + "epoch": 0.15, + "grad_norm": 2.250887861684083, + "learning_rate": 1.9215114927945905e-05, + "loss": 1.0142, + "step": 6501 + }, + { + "epoch": 0.15, + "grad_norm": 1.9065555482200838, + "learning_rate": 1.9214818573292492e-05, + "loss": 0.9572, + "step": 6502 + }, + { + "epoch": 0.15, + "grad_norm": 1.6401149694227781, + "learning_rate": 1.9214522164987484e-05, + "loss": 0.9783, + "step": 6503 + }, + { + "epoch": 0.15, + "grad_norm": 1.9102853029063638, + "learning_rate": 1.921422570303261e-05, + "loss": 0.9554, + "step": 6504 + }, + { + "epoch": 0.15, + "grad_norm": 2.0529683116587125, + "learning_rate": 1.9213929187429602e-05, + "loss": 0.8475, + "step": 6505 + }, + { + "epoch": 0.15, + "grad_norm": 1.7072725072169765, + "learning_rate": 1.9213632618180175e-05, + "loss": 0.933, + "step": 6506 + }, + { + "epoch": 0.15, + "grad_norm": 1.7505796864518848, + "learning_rate": 1.9213335995286065e-05, + "loss": 0.8946, + "step": 6507 + }, + { + "epoch": 0.15, + "grad_norm": 1.8492962300139497, + "learning_rate": 1.9213039318748995e-05, + "loss": 0.8775, + "step": 6508 + }, + { + "epoch": 0.15, + "grad_norm": 4.752999662978692, + "learning_rate": 1.9212742588570694e-05, + "loss": 0.9499, + "step": 6509 + }, + { + "epoch": 0.15, + "grad_norm": 1.8000290520149647, + "learning_rate": 1.921244580475289e-05, + "loss": 0.9062, + "step": 6510 + }, + { + "epoch": 0.15, + "grad_norm": 1.8026134735468389, + "learning_rate": 1.9212148967297307e-05, + "loss": 0.9775, + "step": 6511 + }, + { + "epoch": 0.15, + "grad_norm": 1.6096446588590296, + "learning_rate": 1.921185207620568e-05, + "loss": 0.7634, + "step": 6512 + }, + { + "epoch": 0.15, + "grad_norm": 0.767384459618508, + "learning_rate": 1.9211555131479728e-05, + "loss": 0.718, + "step": 6513 + }, + { + "epoch": 0.15, + "grad_norm": 2.1729374845264733, + "learning_rate": 1.921125813312119e-05, + "loss": 0.8051, + "step": 6514 + }, + { + "epoch": 0.15, + "grad_norm": 1.8344589777818034, + "learning_rate": 1.921096108113179e-05, + "loss": 0.8088, + "step": 6515 + }, + { + "epoch": 0.15, + "grad_norm": 1.6112098682061329, + "learning_rate": 1.921066397551326e-05, + "loss": 0.8135, + "step": 6516 + }, + { + "epoch": 0.15, + "grad_norm": 1.5479087308538522, + "learning_rate": 1.9210366816267327e-05, + "loss": 0.8424, + "step": 6517 + }, + { + "epoch": 0.15, + "grad_norm": 1.930936885339278, + "learning_rate": 1.9210069603395724e-05, + "loss": 0.9825, + "step": 6518 + }, + { + "epoch": 0.15, + "grad_norm": 2.3092162375870546, + "learning_rate": 1.920977233690018e-05, + "loss": 0.9623, + "step": 6519 + }, + { + "epoch": 0.15, + "grad_norm": 1.4914666128329164, + "learning_rate": 1.920947501678242e-05, + "loss": 0.9775, + "step": 6520 + }, + { + "epoch": 0.15, + "grad_norm": 1.5576544416764782, + "learning_rate": 1.9209177643044187e-05, + "loss": 1.0858, + "step": 6521 + }, + { + "epoch": 0.15, + "grad_norm": 1.711927445577524, + "learning_rate": 1.9208880215687203e-05, + "loss": 0.8695, + "step": 6522 + }, + { + "epoch": 0.15, + "grad_norm": 0.7887102551899766, + "learning_rate": 1.9208582734713202e-05, + "loss": 0.7013, + "step": 6523 + }, + { + "epoch": 0.15, + "grad_norm": 1.6711866441069065, + "learning_rate": 1.920828520012392e-05, + "loss": 0.8827, + "step": 6524 + }, + { + "epoch": 0.15, + "grad_norm": 1.6370224031764353, + "learning_rate": 1.9207987611921085e-05, + "loss": 0.98, + "step": 6525 + }, + { + "epoch": 0.15, + "grad_norm": 1.825934213840267, + "learning_rate": 1.9207689970106434e-05, + "loss": 0.8872, + "step": 6526 + }, + { + "epoch": 0.15, + "grad_norm": 1.827866577196071, + "learning_rate": 1.9207392274681692e-05, + "loss": 0.9364, + "step": 6527 + }, + { + "epoch": 0.15, + "grad_norm": 1.5974186571636504, + "learning_rate": 1.92070945256486e-05, + "loss": 0.8459, + "step": 6528 + }, + { + "epoch": 0.15, + "grad_norm": 1.58155107650669, + "learning_rate": 1.920679672300889e-05, + "loss": 1.019, + "step": 6529 + }, + { + "epoch": 0.15, + "grad_norm": 1.5582181996193762, + "learning_rate": 1.920649886676429e-05, + "loss": 0.9743, + "step": 6530 + }, + { + "epoch": 0.15, + "grad_norm": 1.6818782499915035, + "learning_rate": 1.9206200956916542e-05, + "loss": 0.8273, + "step": 6531 + }, + { + "epoch": 0.15, + "grad_norm": 1.7118677677658727, + "learning_rate": 1.9205902993467377e-05, + "loss": 0.9886, + "step": 6532 + }, + { + "epoch": 0.15, + "grad_norm": 1.9784347556722108, + "learning_rate": 1.920560497641853e-05, + "loss": 0.927, + "step": 6533 + }, + { + "epoch": 0.15, + "grad_norm": 1.7074439950178928, + "learning_rate": 1.9205306905771735e-05, + "loss": 0.8588, + "step": 6534 + }, + { + "epoch": 0.15, + "grad_norm": 1.7737500910667798, + "learning_rate": 1.920500878152873e-05, + "loss": 0.9751, + "step": 6535 + }, + { + "epoch": 0.15, + "grad_norm": 2.3640441961010836, + "learning_rate": 1.920471060369125e-05, + "loss": 0.9601, + "step": 6536 + }, + { + "epoch": 0.15, + "grad_norm": 1.8181284826456028, + "learning_rate": 1.920441237226103e-05, + "loss": 0.9016, + "step": 6537 + }, + { + "epoch": 0.15, + "grad_norm": 1.464489239908827, + "learning_rate": 1.9204114087239806e-05, + "loss": 0.9538, + "step": 6538 + }, + { + "epoch": 0.15, + "grad_norm": 1.719330656860265, + "learning_rate": 1.920381574862932e-05, + "loss": 0.874, + "step": 6539 + }, + { + "epoch": 0.15, + "grad_norm": 1.902590114680806, + "learning_rate": 1.92035173564313e-05, + "loss": 1.0393, + "step": 6540 + }, + { + "epoch": 0.15, + "grad_norm": 1.887097170538762, + "learning_rate": 1.9203218910647492e-05, + "loss": 0.8559, + "step": 6541 + }, + { + "epoch": 0.15, + "grad_norm": 1.8489856972752177, + "learning_rate": 1.920292041127963e-05, + "loss": 0.8284, + "step": 6542 + }, + { + "epoch": 0.15, + "grad_norm": 1.7587336293067923, + "learning_rate": 1.920262185832945e-05, + "loss": 0.8459, + "step": 6543 + }, + { + "epoch": 0.15, + "grad_norm": 1.8551103565930906, + "learning_rate": 1.920232325179869e-05, + "loss": 0.8557, + "step": 6544 + }, + { + "epoch": 0.15, + "grad_norm": 1.7631977516367567, + "learning_rate": 1.9202024591689094e-05, + "loss": 0.883, + "step": 6545 + }, + { + "epoch": 0.15, + "grad_norm": 1.6069046033903251, + "learning_rate": 1.9201725878002394e-05, + "loss": 0.9174, + "step": 6546 + }, + { + "epoch": 0.15, + "grad_norm": 2.4521707187591315, + "learning_rate": 1.9201427110740335e-05, + "loss": 1.0057, + "step": 6547 + }, + { + "epoch": 0.15, + "grad_norm": 1.578340861567971, + "learning_rate": 1.9201128289904654e-05, + "loss": 0.9635, + "step": 6548 + }, + { + "epoch": 0.15, + "grad_norm": 1.6059050948299287, + "learning_rate": 1.9200829415497095e-05, + "loss": 0.9702, + "step": 6549 + }, + { + "epoch": 0.15, + "grad_norm": 1.7978892355107887, + "learning_rate": 1.920053048751939e-05, + "loss": 0.9241, + "step": 6550 + }, + { + "epoch": 0.15, + "grad_norm": 1.736374042329456, + "learning_rate": 1.9200231505973282e-05, + "loss": 0.8302, + "step": 6551 + }, + { + "epoch": 0.15, + "grad_norm": 1.5591851754773194, + "learning_rate": 1.9199932470860516e-05, + "loss": 0.8199, + "step": 6552 + }, + { + "epoch": 0.15, + "grad_norm": 3.0343844615937967, + "learning_rate": 1.919963338218283e-05, + "loss": 0.8173, + "step": 6553 + }, + { + "epoch": 0.15, + "grad_norm": 1.8166465078039908, + "learning_rate": 1.9199334239941968e-05, + "loss": 0.8441, + "step": 6554 + }, + { + "epoch": 0.15, + "grad_norm": 1.9496998473619502, + "learning_rate": 1.9199035044139666e-05, + "loss": 0.894, + "step": 6555 + }, + { + "epoch": 0.15, + "grad_norm": 2.048779476378459, + "learning_rate": 1.919873579477767e-05, + "loss": 0.9006, + "step": 6556 + }, + { + "epoch": 0.15, + "grad_norm": 1.7019540037722416, + "learning_rate": 1.9198436491857725e-05, + "loss": 1.0104, + "step": 6557 + }, + { + "epoch": 0.15, + "grad_norm": 1.6537966042507217, + "learning_rate": 1.9198137135381567e-05, + "loss": 0.8022, + "step": 6558 + }, + { + "epoch": 0.15, + "grad_norm": 2.1645409673424862, + "learning_rate": 1.9197837725350944e-05, + "loss": 0.9673, + "step": 6559 + }, + { + "epoch": 0.15, + "grad_norm": 1.6605431645955002, + "learning_rate": 1.91975382617676e-05, + "loss": 0.9475, + "step": 6560 + }, + { + "epoch": 0.15, + "grad_norm": 1.6706451006273468, + "learning_rate": 1.9197238744633275e-05, + "loss": 0.9025, + "step": 6561 + }, + { + "epoch": 0.15, + "grad_norm": 1.7265964836178727, + "learning_rate": 1.919693917394971e-05, + "loss": 0.9646, + "step": 6562 + }, + { + "epoch": 0.15, + "grad_norm": 1.9002066426977688, + "learning_rate": 1.9196639549718655e-05, + "loss": 1.0937, + "step": 6563 + }, + { + "epoch": 0.15, + "grad_norm": 1.99452304500804, + "learning_rate": 1.919633987194186e-05, + "loss": 0.8787, + "step": 6564 + }, + { + "epoch": 0.15, + "grad_norm": 1.5977863558308436, + "learning_rate": 1.9196040140621056e-05, + "loss": 0.8966, + "step": 6565 + }, + { + "epoch": 0.15, + "grad_norm": 1.7623047192503893, + "learning_rate": 1.9195740355757998e-05, + "loss": 0.9276, + "step": 6566 + }, + { + "epoch": 0.15, + "grad_norm": 1.7600698049904733, + "learning_rate": 1.9195440517354424e-05, + "loss": 0.8837, + "step": 6567 + }, + { + "epoch": 0.15, + "grad_norm": 1.8082391254311627, + "learning_rate": 1.9195140625412087e-05, + "loss": 1.0062, + "step": 6568 + }, + { + "epoch": 0.15, + "grad_norm": 1.4922502121889991, + "learning_rate": 1.919484067993273e-05, + "loss": 0.9024, + "step": 6569 + }, + { + "epoch": 0.15, + "grad_norm": 1.9673521399160268, + "learning_rate": 1.91945406809181e-05, + "loss": 0.9504, + "step": 6570 + }, + { + "epoch": 0.15, + "grad_norm": 1.851009611313168, + "learning_rate": 1.919424062836994e-05, + "loss": 0.7754, + "step": 6571 + }, + { + "epoch": 0.15, + "grad_norm": 1.6700462646682968, + "learning_rate": 1.9193940522290008e-05, + "loss": 0.9968, + "step": 6572 + }, + { + "epoch": 0.15, + "grad_norm": 1.8124431639926335, + "learning_rate": 1.9193640362680038e-05, + "loss": 1.003, + "step": 6573 + }, + { + "epoch": 0.15, + "grad_norm": 1.5903286098628475, + "learning_rate": 1.919334014954178e-05, + "loss": 0.9957, + "step": 6574 + }, + { + "epoch": 0.15, + "grad_norm": 1.5098273888762879, + "learning_rate": 1.919303988287699e-05, + "loss": 0.9903, + "step": 6575 + }, + { + "epoch": 0.15, + "grad_norm": 1.7934953049264817, + "learning_rate": 1.9192739562687412e-05, + "loss": 0.8662, + "step": 6576 + }, + { + "epoch": 0.15, + "grad_norm": 1.8291726704614515, + "learning_rate": 1.919243918897479e-05, + "loss": 0.8732, + "step": 6577 + }, + { + "epoch": 0.15, + "grad_norm": 1.6746548635160192, + "learning_rate": 1.9192138761740883e-05, + "loss": 0.9398, + "step": 6578 + }, + { + "epoch": 0.15, + "grad_norm": 1.8742385785522873, + "learning_rate": 1.9191838280987428e-05, + "loss": 0.9789, + "step": 6579 + }, + { + "epoch": 0.16, + "grad_norm": 1.8158089804298314, + "learning_rate": 1.919153774671618e-05, + "loss": 0.9425, + "step": 6580 + }, + { + "epoch": 0.16, + "grad_norm": 1.6766435378754045, + "learning_rate": 1.919123715892889e-05, + "loss": 0.8753, + "step": 6581 + }, + { + "epoch": 0.16, + "grad_norm": 1.7232561823840749, + "learning_rate": 1.919093651762731e-05, + "loss": 1.0315, + "step": 6582 + }, + { + "epoch": 0.16, + "grad_norm": 1.5328367402753391, + "learning_rate": 1.919063582281319e-05, + "loss": 0.9298, + "step": 6583 + }, + { + "epoch": 0.16, + "grad_norm": 1.8826251201361597, + "learning_rate": 1.9190335074488275e-05, + "loss": 0.871, + "step": 6584 + }, + { + "epoch": 0.16, + "grad_norm": 1.7755660611286286, + "learning_rate": 1.9190034272654316e-05, + "loss": 0.8982, + "step": 6585 + }, + { + "epoch": 0.16, + "grad_norm": 1.8032880258984199, + "learning_rate": 1.9189733417313073e-05, + "loss": 0.8842, + "step": 6586 + }, + { + "epoch": 0.16, + "grad_norm": 1.9358782006959616, + "learning_rate": 1.918943250846629e-05, + "loss": 0.9579, + "step": 6587 + }, + { + "epoch": 0.16, + "grad_norm": 1.59497776100002, + "learning_rate": 1.9189131546115725e-05, + "loss": 0.9705, + "step": 6588 + }, + { + "epoch": 0.16, + "grad_norm": 1.5644684380912655, + "learning_rate": 1.9188830530263124e-05, + "loss": 0.8728, + "step": 6589 + }, + { + "epoch": 0.16, + "grad_norm": 1.7143659638887876, + "learning_rate": 1.9188529460910244e-05, + "loss": 0.8297, + "step": 6590 + }, + { + "epoch": 0.16, + "grad_norm": 0.8461012550115372, + "learning_rate": 1.9188228338058835e-05, + "loss": 0.8102, + "step": 6591 + }, + { + "epoch": 0.16, + "grad_norm": 1.6023961501234711, + "learning_rate": 1.918792716171065e-05, + "loss": 0.94, + "step": 6592 + }, + { + "epoch": 0.16, + "grad_norm": 1.6139706529949696, + "learning_rate": 1.9187625931867448e-05, + "loss": 0.9033, + "step": 6593 + }, + { + "epoch": 0.16, + "grad_norm": 1.87468480922999, + "learning_rate": 1.9187324648530977e-05, + "loss": 0.7986, + "step": 6594 + }, + { + "epoch": 0.16, + "grad_norm": 1.7544001787187937, + "learning_rate": 1.9187023311702996e-05, + "loss": 0.7695, + "step": 6595 + }, + { + "epoch": 0.16, + "grad_norm": 1.7452029762544432, + "learning_rate": 1.9186721921385257e-05, + "loss": 0.8179, + "step": 6596 + }, + { + "epoch": 0.16, + "grad_norm": 2.7244885687254907, + "learning_rate": 1.9186420477579508e-05, + "loss": 0.9259, + "step": 6597 + }, + { + "epoch": 0.16, + "grad_norm": 1.606082972973968, + "learning_rate": 1.918611898028752e-05, + "loss": 0.9095, + "step": 6598 + }, + { + "epoch": 0.16, + "grad_norm": 2.0698846168765677, + "learning_rate": 1.9185817429511033e-05, + "loss": 0.8625, + "step": 6599 + }, + { + "epoch": 0.16, + "grad_norm": 2.101047581330499, + "learning_rate": 1.9185515825251806e-05, + "loss": 0.8909, + "step": 6600 + }, + { + "epoch": 0.16, + "grad_norm": 1.6511300251954444, + "learning_rate": 1.91852141675116e-05, + "loss": 0.8996, + "step": 6601 + }, + { + "epoch": 0.16, + "grad_norm": 2.053592419398753, + "learning_rate": 1.9184912456292172e-05, + "loss": 0.8154, + "step": 6602 + }, + { + "epoch": 0.16, + "grad_norm": 1.9373211724202923, + "learning_rate": 1.9184610691595273e-05, + "loss": 0.8912, + "step": 6603 + }, + { + "epoch": 0.16, + "grad_norm": 0.7841666904621791, + "learning_rate": 1.9184308873422666e-05, + "loss": 0.695, + "step": 6604 + }, + { + "epoch": 0.16, + "grad_norm": 1.849810891983833, + "learning_rate": 1.9184007001776103e-05, + "loss": 0.8954, + "step": 6605 + }, + { + "epoch": 0.16, + "grad_norm": 1.8047699845248968, + "learning_rate": 1.9183705076657343e-05, + "loss": 0.9078, + "step": 6606 + }, + { + "epoch": 0.16, + "grad_norm": 1.7704984567158837, + "learning_rate": 1.9183403098068145e-05, + "loss": 1.0444, + "step": 6607 + }, + { + "epoch": 0.16, + "grad_norm": 1.872304322997149, + "learning_rate": 1.918310106601027e-05, + "loss": 0.8701, + "step": 6608 + }, + { + "epoch": 0.16, + "grad_norm": 0.8425258708186146, + "learning_rate": 1.9182798980485468e-05, + "loss": 0.7518, + "step": 6609 + }, + { + "epoch": 0.16, + "grad_norm": 1.606755277657322, + "learning_rate": 1.9182496841495504e-05, + "loss": 0.8866, + "step": 6610 + }, + { + "epoch": 0.16, + "grad_norm": 2.354106361103698, + "learning_rate": 1.9182194649042138e-05, + "loss": 0.9534, + "step": 6611 + }, + { + "epoch": 0.16, + "grad_norm": 1.6045569670633242, + "learning_rate": 1.918189240312713e-05, + "loss": 0.9392, + "step": 6612 + }, + { + "epoch": 0.16, + "grad_norm": 2.3905462028827644, + "learning_rate": 1.918159010375223e-05, + "loss": 0.8845, + "step": 6613 + }, + { + "epoch": 0.16, + "grad_norm": 1.5686432848798335, + "learning_rate": 1.9181287750919214e-05, + "loss": 0.9203, + "step": 6614 + }, + { + "epoch": 0.16, + "grad_norm": 2.54091580265732, + "learning_rate": 1.918098534462983e-05, + "loss": 0.853, + "step": 6615 + }, + { + "epoch": 0.16, + "grad_norm": 2.0066664650286254, + "learning_rate": 1.918068288488584e-05, + "loss": 0.7618, + "step": 6616 + }, + { + "epoch": 0.16, + "grad_norm": 0.7454382672882083, + "learning_rate": 1.918038037168901e-05, + "loss": 0.7257, + "step": 6617 + }, + { + "epoch": 0.16, + "grad_norm": 0.7670313102488315, + "learning_rate": 1.9180077805041103e-05, + "loss": 0.76, + "step": 6618 + }, + { + "epoch": 0.16, + "grad_norm": 1.818004732409564, + "learning_rate": 1.917977518494387e-05, + "loss": 0.9652, + "step": 6619 + }, + { + "epoch": 0.16, + "grad_norm": 1.599950937337518, + "learning_rate": 1.9179472511399084e-05, + "loss": 0.8822, + "step": 6620 + }, + { + "epoch": 0.16, + "grad_norm": 1.6443951868413806, + "learning_rate": 1.91791697844085e-05, + "loss": 0.9089, + "step": 6621 + }, + { + "epoch": 0.16, + "grad_norm": 0.8293382015385915, + "learning_rate": 1.917886700397389e-05, + "loss": 0.6643, + "step": 6622 + }, + { + "epoch": 0.16, + "grad_norm": 1.856657894717166, + "learning_rate": 1.9178564170097004e-05, + "loss": 1.0913, + "step": 6623 + }, + { + "epoch": 0.16, + "grad_norm": 1.806504782969547, + "learning_rate": 1.9178261282779614e-05, + "loss": 0.9481, + "step": 6624 + }, + { + "epoch": 0.16, + "grad_norm": 1.9403771143062165, + "learning_rate": 1.9177958342023478e-05, + "loss": 0.7698, + "step": 6625 + }, + { + "epoch": 0.16, + "grad_norm": 1.7799929304924638, + "learning_rate": 1.9177655347830368e-05, + "loss": 0.938, + "step": 6626 + }, + { + "epoch": 0.16, + "grad_norm": 1.7927674887829437, + "learning_rate": 1.9177352300202038e-05, + "loss": 0.8302, + "step": 6627 + }, + { + "epoch": 0.16, + "grad_norm": 1.7115090200456486, + "learning_rate": 1.917704919914026e-05, + "loss": 1.0303, + "step": 6628 + }, + { + "epoch": 0.16, + "grad_norm": 1.712283750432488, + "learning_rate": 1.9176746044646796e-05, + "loss": 1.0364, + "step": 6629 + }, + { + "epoch": 0.16, + "grad_norm": 2.601131947294626, + "learning_rate": 1.917644283672341e-05, + "loss": 0.8655, + "step": 6630 + }, + { + "epoch": 0.16, + "grad_norm": 0.768634644675835, + "learning_rate": 1.9176139575371867e-05, + "loss": 0.7585, + "step": 6631 + }, + { + "epoch": 0.16, + "grad_norm": 1.7998912196242225, + "learning_rate": 1.9175836260593937e-05, + "loss": 0.8311, + "step": 6632 + }, + { + "epoch": 0.16, + "grad_norm": 0.7748036670856894, + "learning_rate": 1.9175532892391383e-05, + "loss": 0.7734, + "step": 6633 + }, + { + "epoch": 0.16, + "grad_norm": 0.7946141378310296, + "learning_rate": 1.9175229470765972e-05, + "loss": 0.7731, + "step": 6634 + }, + { + "epoch": 0.16, + "grad_norm": 2.2026145890237725, + "learning_rate": 1.917492599571947e-05, + "loss": 0.9989, + "step": 6635 + }, + { + "epoch": 0.16, + "grad_norm": 1.8170847468176028, + "learning_rate": 1.9174622467253644e-05, + "loss": 0.9416, + "step": 6636 + }, + { + "epoch": 0.16, + "grad_norm": 1.6821717086918924, + "learning_rate": 1.917431888537026e-05, + "loss": 1.0064, + "step": 6637 + }, + { + "epoch": 0.16, + "grad_norm": 1.8569113782936304, + "learning_rate": 1.917401525007109e-05, + "loss": 0.8502, + "step": 6638 + }, + { + "epoch": 0.16, + "grad_norm": 1.684506787176948, + "learning_rate": 1.9173711561357895e-05, + "loss": 0.916, + "step": 6639 + }, + { + "epoch": 0.16, + "grad_norm": 1.5426735139634118, + "learning_rate": 1.917340781923245e-05, + "loss": 0.8432, + "step": 6640 + }, + { + "epoch": 0.16, + "grad_norm": 1.4731937274740852, + "learning_rate": 1.917310402369652e-05, + "loss": 0.9176, + "step": 6641 + }, + { + "epoch": 0.16, + "grad_norm": 0.7620073887096576, + "learning_rate": 1.9172800174751873e-05, + "loss": 0.7683, + "step": 6642 + }, + { + "epoch": 0.16, + "grad_norm": 1.6638651540043348, + "learning_rate": 1.9172496272400282e-05, + "loss": 0.8808, + "step": 6643 + }, + { + "epoch": 0.16, + "grad_norm": 1.928059226278064, + "learning_rate": 1.917219231664351e-05, + "loss": 0.9553, + "step": 6644 + }, + { + "epoch": 0.16, + "grad_norm": 1.792375880524863, + "learning_rate": 1.917188830748333e-05, + "loss": 0.9499, + "step": 6645 + }, + { + "epoch": 0.16, + "grad_norm": 1.7440719653719685, + "learning_rate": 1.9171584244921516e-05, + "loss": 0.9022, + "step": 6646 + }, + { + "epoch": 0.16, + "grad_norm": 2.7458872332733715, + "learning_rate": 1.9171280128959834e-05, + "loss": 0.846, + "step": 6647 + }, + { + "epoch": 0.16, + "grad_norm": 2.017791466267315, + "learning_rate": 1.9170975959600053e-05, + "loss": 0.8791, + "step": 6648 + }, + { + "epoch": 0.16, + "grad_norm": 2.0345081387466943, + "learning_rate": 1.917067173684395e-05, + "loss": 0.8515, + "step": 6649 + }, + { + "epoch": 0.16, + "grad_norm": 1.8332481543628218, + "learning_rate": 1.917036746069329e-05, + "loss": 0.9089, + "step": 6650 + }, + { + "epoch": 0.16, + "grad_norm": 1.6855102836705413, + "learning_rate": 1.917006313114985e-05, + "loss": 0.9042, + "step": 6651 + }, + { + "epoch": 0.16, + "grad_norm": 1.660672190536663, + "learning_rate": 1.9169758748215396e-05, + "loss": 0.8307, + "step": 6652 + }, + { + "epoch": 0.16, + "grad_norm": 1.5825104767617737, + "learning_rate": 1.9169454311891705e-05, + "loss": 0.8692, + "step": 6653 + }, + { + "epoch": 0.16, + "grad_norm": 1.6451152773012934, + "learning_rate": 1.916914982218055e-05, + "loss": 0.8173, + "step": 6654 + }, + { + "epoch": 0.16, + "grad_norm": 2.5201729433577995, + "learning_rate": 1.9168845279083697e-05, + "loss": 0.8401, + "step": 6655 + }, + { + "epoch": 0.16, + "grad_norm": 1.914505319498248, + "learning_rate": 1.9168540682602928e-05, + "loss": 0.949, + "step": 6656 + }, + { + "epoch": 0.16, + "grad_norm": 1.5829845801598366, + "learning_rate": 1.916823603274001e-05, + "loss": 0.9904, + "step": 6657 + }, + { + "epoch": 0.16, + "grad_norm": 1.6515073560079319, + "learning_rate": 1.916793132949672e-05, + "loss": 0.9143, + "step": 6658 + }, + { + "epoch": 0.16, + "grad_norm": 1.871958648153959, + "learning_rate": 1.916762657287483e-05, + "loss": 0.9429, + "step": 6659 + }, + { + "epoch": 0.16, + "grad_norm": 1.6232037956849683, + "learning_rate": 1.916732176287612e-05, + "loss": 0.9817, + "step": 6660 + }, + { + "epoch": 0.16, + "grad_norm": 1.6980676149457123, + "learning_rate": 1.9167016899502357e-05, + "loss": 0.8961, + "step": 6661 + }, + { + "epoch": 0.16, + "grad_norm": 2.1405144142395356, + "learning_rate": 1.916671198275532e-05, + "loss": 0.914, + "step": 6662 + }, + { + "epoch": 0.16, + "grad_norm": 1.4630534168380194, + "learning_rate": 1.9166407012636785e-05, + "loss": 0.8483, + "step": 6663 + }, + { + "epoch": 0.16, + "grad_norm": 1.7475698676016125, + "learning_rate": 1.9166101989148527e-05, + "loss": 0.9135, + "step": 6664 + }, + { + "epoch": 0.16, + "grad_norm": 1.8880901664679326, + "learning_rate": 1.9165796912292317e-05, + "loss": 0.9887, + "step": 6665 + }, + { + "epoch": 0.16, + "grad_norm": 1.676677218817437, + "learning_rate": 1.9165491782069942e-05, + "loss": 0.8791, + "step": 6666 + }, + { + "epoch": 0.16, + "grad_norm": 1.812008265885456, + "learning_rate": 1.9165186598483166e-05, + "loss": 1.006, + "step": 6667 + }, + { + "epoch": 0.16, + "grad_norm": 1.8983170635386106, + "learning_rate": 1.9164881361533775e-05, + "loss": 0.8029, + "step": 6668 + }, + { + "epoch": 0.16, + "grad_norm": 2.1119650492559994, + "learning_rate": 1.9164576071223542e-05, + "loss": 1.1212, + "step": 6669 + }, + { + "epoch": 0.16, + "grad_norm": 1.610667261984587, + "learning_rate": 1.9164270727554247e-05, + "loss": 0.8436, + "step": 6670 + }, + { + "epoch": 0.16, + "grad_norm": 1.7390432425899125, + "learning_rate": 1.9163965330527664e-05, + "loss": 1.0517, + "step": 6671 + }, + { + "epoch": 0.16, + "grad_norm": 1.712595605570291, + "learning_rate": 1.9163659880145575e-05, + "loss": 0.9942, + "step": 6672 + }, + { + "epoch": 0.16, + "grad_norm": 1.9352209203042918, + "learning_rate": 1.9163354376409757e-05, + "loss": 1.0375, + "step": 6673 + }, + { + "epoch": 0.16, + "grad_norm": 1.700485069056028, + "learning_rate": 1.9163048819321987e-05, + "loss": 0.9074, + "step": 6674 + }, + { + "epoch": 0.16, + "grad_norm": 1.5242868787142523, + "learning_rate": 1.916274320888405e-05, + "loss": 0.8052, + "step": 6675 + }, + { + "epoch": 0.16, + "grad_norm": 1.6853509864892902, + "learning_rate": 1.916243754509772e-05, + "loss": 0.9419, + "step": 6676 + }, + { + "epoch": 0.16, + "grad_norm": 1.6017196495853925, + "learning_rate": 1.9162131827964774e-05, + "loss": 0.9713, + "step": 6677 + }, + { + "epoch": 0.16, + "grad_norm": 2.10149625290785, + "learning_rate": 1.9161826057487e-05, + "loss": 0.8725, + "step": 6678 + }, + { + "epoch": 0.16, + "grad_norm": 1.9639572011215323, + "learning_rate": 1.9161520233666172e-05, + "loss": 0.8695, + "step": 6679 + }, + { + "epoch": 0.16, + "grad_norm": 1.6402718350864764, + "learning_rate": 1.9161214356504072e-05, + "loss": 0.963, + "step": 6680 + }, + { + "epoch": 0.16, + "grad_norm": 1.9934945710049665, + "learning_rate": 1.916090842600248e-05, + "loss": 0.9885, + "step": 6681 + }, + { + "epoch": 0.16, + "grad_norm": 1.4198303188219434, + "learning_rate": 1.9160602442163182e-05, + "loss": 0.9093, + "step": 6682 + }, + { + "epoch": 0.16, + "grad_norm": 2.2006685478436916, + "learning_rate": 1.916029640498796e-05, + "loss": 0.837, + "step": 6683 + }, + { + "epoch": 0.16, + "grad_norm": 1.9029119542457582, + "learning_rate": 1.915999031447859e-05, + "loss": 0.9425, + "step": 6684 + }, + { + "epoch": 0.16, + "grad_norm": 0.7863492269093001, + "learning_rate": 1.915968417063685e-05, + "loss": 0.7384, + "step": 6685 + }, + { + "epoch": 0.16, + "grad_norm": 1.642478441357304, + "learning_rate": 1.9159377973464536e-05, + "loss": 1.0674, + "step": 6686 + }, + { + "epoch": 0.16, + "grad_norm": 1.6964269596354424, + "learning_rate": 1.9159071722963422e-05, + "loss": 0.9232, + "step": 6687 + }, + { + "epoch": 0.16, + "grad_norm": 1.8661086852542943, + "learning_rate": 1.915876541913529e-05, + "loss": 0.8086, + "step": 6688 + }, + { + "epoch": 0.16, + "grad_norm": 1.6126996388724695, + "learning_rate": 1.9158459061981928e-05, + "loss": 0.8934, + "step": 6689 + }, + { + "epoch": 0.16, + "grad_norm": 1.7120113859921038, + "learning_rate": 1.9158152651505116e-05, + "loss": 1.0236, + "step": 6690 + }, + { + "epoch": 0.16, + "grad_norm": 1.8841054886016746, + "learning_rate": 1.9157846187706642e-05, + "loss": 0.8576, + "step": 6691 + }, + { + "epoch": 0.16, + "grad_norm": 1.7578073341903016, + "learning_rate": 1.9157539670588287e-05, + "loss": 0.7219, + "step": 6692 + }, + { + "epoch": 0.16, + "grad_norm": 1.7441119039183555, + "learning_rate": 1.915723310015184e-05, + "loss": 0.8266, + "step": 6693 + }, + { + "epoch": 0.16, + "grad_norm": 1.5896677284720009, + "learning_rate": 1.915692647639908e-05, + "loss": 0.9392, + "step": 6694 + }, + { + "epoch": 0.16, + "grad_norm": 1.5689130729594818, + "learning_rate": 1.9156619799331796e-05, + "loss": 0.9515, + "step": 6695 + }, + { + "epoch": 0.16, + "grad_norm": 1.6878346981284504, + "learning_rate": 1.9156313068951772e-05, + "loss": 1.0145, + "step": 6696 + }, + { + "epoch": 0.16, + "grad_norm": 1.7384821778672161, + "learning_rate": 1.9156006285260792e-05, + "loss": 0.891, + "step": 6697 + }, + { + "epoch": 0.16, + "grad_norm": 1.758767658378224, + "learning_rate": 1.9155699448260648e-05, + "loss": 0.8933, + "step": 6698 + }, + { + "epoch": 0.16, + "grad_norm": 1.7798999378327718, + "learning_rate": 1.9155392557953126e-05, + "loss": 0.8131, + "step": 6699 + }, + { + "epoch": 0.16, + "grad_norm": 0.7592146239065356, + "learning_rate": 1.9155085614340004e-05, + "loss": 0.7207, + "step": 6700 + }, + { + "epoch": 0.16, + "grad_norm": 1.5634497482401293, + "learning_rate": 1.915477861742308e-05, + "loss": 0.7899, + "step": 6701 + }, + { + "epoch": 0.16, + "grad_norm": 1.8098157982291843, + "learning_rate": 1.9154471567204132e-05, + "loss": 0.7348, + "step": 6702 + }, + { + "epoch": 0.16, + "grad_norm": 1.6942645358320205, + "learning_rate": 1.9154164463684953e-05, + "loss": 0.9372, + "step": 6703 + }, + { + "epoch": 0.16, + "grad_norm": 1.594472502667506, + "learning_rate": 1.915385730686733e-05, + "loss": 0.9761, + "step": 6704 + }, + { + "epoch": 0.16, + "grad_norm": 1.6967387791580368, + "learning_rate": 1.9153550096753056e-05, + "loss": 0.9871, + "step": 6705 + }, + { + "epoch": 0.16, + "grad_norm": 1.8625044606772632, + "learning_rate": 1.9153242833343912e-05, + "loss": 0.9731, + "step": 6706 + }, + { + "epoch": 0.16, + "grad_norm": 2.0102545172952406, + "learning_rate": 1.915293551664169e-05, + "loss": 1.018, + "step": 6707 + }, + { + "epoch": 0.16, + "grad_norm": 2.1725503164722832, + "learning_rate": 1.9152628146648183e-05, + "loss": 0.8406, + "step": 6708 + }, + { + "epoch": 0.16, + "grad_norm": 2.407919014593484, + "learning_rate": 1.9152320723365176e-05, + "loss": 0.9093, + "step": 6709 + }, + { + "epoch": 0.16, + "grad_norm": 1.6690296547253327, + "learning_rate": 1.9152013246794455e-05, + "loss": 0.9435, + "step": 6710 + }, + { + "epoch": 0.16, + "grad_norm": 1.76134728864101, + "learning_rate": 1.915170571693782e-05, + "loss": 1.055, + "step": 6711 + }, + { + "epoch": 0.16, + "grad_norm": 1.6689954619227905, + "learning_rate": 1.915139813379706e-05, + "loss": 0.8721, + "step": 6712 + }, + { + "epoch": 0.16, + "grad_norm": 1.7998027093394446, + "learning_rate": 1.9151090497373955e-05, + "loss": 0.86, + "step": 6713 + }, + { + "epoch": 0.16, + "grad_norm": 1.6455367587724359, + "learning_rate": 1.915078280767031e-05, + "loss": 0.8308, + "step": 6714 + }, + { + "epoch": 0.16, + "grad_norm": 1.98930130108918, + "learning_rate": 1.9150475064687907e-05, + "loss": 0.8761, + "step": 6715 + }, + { + "epoch": 0.16, + "grad_norm": 0.7751908809983803, + "learning_rate": 1.9150167268428544e-05, + "loss": 0.7534, + "step": 6716 + }, + { + "epoch": 0.16, + "grad_norm": 0.8704316478306561, + "learning_rate": 1.9149859418894007e-05, + "loss": 0.7835, + "step": 6717 + }, + { + "epoch": 0.16, + "grad_norm": 1.6371718063392058, + "learning_rate": 1.9149551516086095e-05, + "loss": 0.8418, + "step": 6718 + }, + { + "epoch": 0.16, + "grad_norm": 1.6270487297942808, + "learning_rate": 1.9149243560006598e-05, + "loss": 1.069, + "step": 6719 + }, + { + "epoch": 0.16, + "grad_norm": 1.9492636612688943, + "learning_rate": 1.9148935550657306e-05, + "loss": 0.8183, + "step": 6720 + }, + { + "epoch": 0.16, + "grad_norm": 1.4751377118228837, + "learning_rate": 1.9148627488040014e-05, + "loss": 1.0895, + "step": 6721 + }, + { + "epoch": 0.16, + "grad_norm": 1.7339517882772595, + "learning_rate": 1.914831937215652e-05, + "loss": 0.8924, + "step": 6722 + }, + { + "epoch": 0.16, + "grad_norm": 1.8681902700080009, + "learning_rate": 1.9148011203008607e-05, + "loss": 0.961, + "step": 6723 + }, + { + "epoch": 0.16, + "grad_norm": 1.740638514126305, + "learning_rate": 1.9147702980598085e-05, + "loss": 0.9369, + "step": 6724 + }, + { + "epoch": 0.16, + "grad_norm": 1.446528032913304, + "learning_rate": 1.9147394704926734e-05, + "loss": 0.8004, + "step": 6725 + }, + { + "epoch": 0.16, + "grad_norm": 1.6245354398101144, + "learning_rate": 1.914708637599636e-05, + "loss": 0.9027, + "step": 6726 + }, + { + "epoch": 0.16, + "grad_norm": 1.944433422314569, + "learning_rate": 1.914677799380875e-05, + "loss": 0.8898, + "step": 6727 + }, + { + "epoch": 0.16, + "grad_norm": 1.5571999107902645, + "learning_rate": 1.9146469558365703e-05, + "loss": 0.8692, + "step": 6728 + }, + { + "epoch": 0.16, + "grad_norm": 1.6812791162664806, + "learning_rate": 1.9146161069669015e-05, + "loss": 0.8359, + "step": 6729 + }, + { + "epoch": 0.16, + "grad_norm": 0.7630031006013615, + "learning_rate": 1.914585252772048e-05, + "loss": 0.7024, + "step": 6730 + }, + { + "epoch": 0.16, + "grad_norm": 0.7656453899908978, + "learning_rate": 1.9145543932521898e-05, + "loss": 0.7052, + "step": 6731 + }, + { + "epoch": 0.16, + "grad_norm": 1.472666503880196, + "learning_rate": 1.9145235284075064e-05, + "loss": 0.942, + "step": 6732 + }, + { + "epoch": 0.16, + "grad_norm": 1.7298220470035257, + "learning_rate": 1.9144926582381777e-05, + "loss": 0.9047, + "step": 6733 + }, + { + "epoch": 0.16, + "grad_norm": 1.5458286790815903, + "learning_rate": 1.9144617827443826e-05, + "loss": 0.8329, + "step": 6734 + }, + { + "epoch": 0.16, + "grad_norm": 1.561002038051623, + "learning_rate": 1.914430901926302e-05, + "loss": 0.8633, + "step": 6735 + }, + { + "epoch": 0.16, + "grad_norm": 1.658436475754063, + "learning_rate": 1.9144000157841146e-05, + "loss": 0.8857, + "step": 6736 + }, + { + "epoch": 0.16, + "grad_norm": 1.6697048810326933, + "learning_rate": 1.9143691243180015e-05, + "loss": 0.8899, + "step": 6737 + }, + { + "epoch": 0.16, + "grad_norm": 1.5904670211290088, + "learning_rate": 1.9143382275281416e-05, + "loss": 1.025, + "step": 6738 + }, + { + "epoch": 0.16, + "grad_norm": 1.6831546955529246, + "learning_rate": 1.914307325414715e-05, + "loss": 0.7532, + "step": 6739 + }, + { + "epoch": 0.16, + "grad_norm": 1.9262003900263167, + "learning_rate": 1.914276417977902e-05, + "loss": 0.8458, + "step": 6740 + }, + { + "epoch": 0.16, + "grad_norm": 1.690688513061978, + "learning_rate": 1.9142455052178817e-05, + "loss": 0.9388, + "step": 6741 + }, + { + "epoch": 0.16, + "grad_norm": 1.5467657162351032, + "learning_rate": 1.914214587134835e-05, + "loss": 0.9556, + "step": 6742 + }, + { + "epoch": 0.16, + "grad_norm": 1.9722913540312033, + "learning_rate": 1.9141836637289414e-05, + "loss": 0.9804, + "step": 6743 + }, + { + "epoch": 0.16, + "grad_norm": 0.7638480271873743, + "learning_rate": 1.9141527350003812e-05, + "loss": 0.6925, + "step": 6744 + }, + { + "epoch": 0.16, + "grad_norm": 0.8257325749430691, + "learning_rate": 1.9141218009493344e-05, + "loss": 0.7331, + "step": 6745 + }, + { + "epoch": 0.16, + "grad_norm": 1.9980633969546753, + "learning_rate": 1.9140908615759807e-05, + "loss": 0.9233, + "step": 6746 + }, + { + "epoch": 0.16, + "grad_norm": 1.6669822121771736, + "learning_rate": 1.914059916880501e-05, + "loss": 0.9863, + "step": 6747 + }, + { + "epoch": 0.16, + "grad_norm": 0.7858959135004536, + "learning_rate": 1.9140289668630753e-05, + "loss": 0.7496, + "step": 6748 + }, + { + "epoch": 0.16, + "grad_norm": 1.6877138792143684, + "learning_rate": 1.9139980115238827e-05, + "loss": 0.8513, + "step": 6749 + }, + { + "epoch": 0.16, + "grad_norm": 1.7432063196106542, + "learning_rate": 1.913967050863105e-05, + "loss": 1.0033, + "step": 6750 + }, + { + "epoch": 0.16, + "grad_norm": 1.5608381805255624, + "learning_rate": 1.9139360848809215e-05, + "loss": 0.9833, + "step": 6751 + }, + { + "epoch": 0.16, + "grad_norm": 2.8673718601310867, + "learning_rate": 1.913905113577513e-05, + "loss": 0.9611, + "step": 6752 + }, + { + "epoch": 0.16, + "grad_norm": 1.8690375029590218, + "learning_rate": 1.9138741369530597e-05, + "loss": 0.9587, + "step": 6753 + }, + { + "epoch": 0.16, + "grad_norm": 1.5474566099424611, + "learning_rate": 1.9138431550077414e-05, + "loss": 0.9139, + "step": 6754 + }, + { + "epoch": 0.16, + "grad_norm": 1.768002065774726, + "learning_rate": 1.913812167741739e-05, + "loss": 0.9101, + "step": 6755 + }, + { + "epoch": 0.16, + "grad_norm": 1.6339674063052427, + "learning_rate": 1.9137811751552332e-05, + "loss": 1.066, + "step": 6756 + }, + { + "epoch": 0.16, + "grad_norm": 3.5111939389445617, + "learning_rate": 1.913750177248404e-05, + "loss": 0.853, + "step": 6757 + }, + { + "epoch": 0.16, + "grad_norm": 1.4641832521588598, + "learning_rate": 1.913719174021432e-05, + "loss": 0.9305, + "step": 6758 + }, + { + "epoch": 0.16, + "grad_norm": 1.798036419521776, + "learning_rate": 1.9136881654744973e-05, + "loss": 0.8371, + "step": 6759 + }, + { + "epoch": 0.16, + "grad_norm": 1.6324069651052928, + "learning_rate": 1.913657151607781e-05, + "loss": 0.9684, + "step": 6760 + }, + { + "epoch": 0.16, + "grad_norm": 1.642923474648818, + "learning_rate": 1.913626132421464e-05, + "loss": 0.9519, + "step": 6761 + }, + { + "epoch": 0.16, + "grad_norm": 1.6945039505065396, + "learning_rate": 1.913595107915726e-05, + "loss": 0.9633, + "step": 6762 + }, + { + "epoch": 0.16, + "grad_norm": 2.4950775180656692, + "learning_rate": 1.913564078090748e-05, + "loss": 0.9401, + "step": 6763 + }, + { + "epoch": 0.16, + "grad_norm": 1.589938908457207, + "learning_rate": 1.9135330429467105e-05, + "loss": 0.9571, + "step": 6764 + }, + { + "epoch": 0.16, + "grad_norm": 0.7991621969074523, + "learning_rate": 1.913502002483795e-05, + "loss": 0.7607, + "step": 6765 + }, + { + "epoch": 0.16, + "grad_norm": 1.6488110216183005, + "learning_rate": 1.9134709567021808e-05, + "loss": 0.9989, + "step": 6766 + }, + { + "epoch": 0.16, + "grad_norm": 1.686951033902281, + "learning_rate": 1.9134399056020504e-05, + "loss": 0.8562, + "step": 6767 + }, + { + "epoch": 0.16, + "grad_norm": 1.7408933791216492, + "learning_rate": 1.913408849183583e-05, + "loss": 0.9619, + "step": 6768 + }, + { + "epoch": 0.16, + "grad_norm": 1.6869117207742506, + "learning_rate": 1.9133777874469605e-05, + "loss": 0.9717, + "step": 6769 + }, + { + "epoch": 0.16, + "grad_norm": 1.4744431401572302, + "learning_rate": 1.913346720392363e-05, + "loss": 0.9819, + "step": 6770 + }, + { + "epoch": 0.16, + "grad_norm": 1.626603867082836, + "learning_rate": 1.913315648019972e-05, + "loss": 0.8965, + "step": 6771 + }, + { + "epoch": 0.16, + "grad_norm": 1.8712861723325585, + "learning_rate": 1.9132845703299683e-05, + "loss": 1.0111, + "step": 6772 + }, + { + "epoch": 0.16, + "grad_norm": 1.4524208573630766, + "learning_rate": 1.9132534873225323e-05, + "loss": 0.9162, + "step": 6773 + }, + { + "epoch": 0.16, + "grad_norm": 1.6670868324149013, + "learning_rate": 1.9132223989978457e-05, + "loss": 0.8508, + "step": 6774 + }, + { + "epoch": 0.16, + "grad_norm": 1.5081941870509397, + "learning_rate": 1.913191305356089e-05, + "loss": 1.0066, + "step": 6775 + }, + { + "epoch": 0.16, + "grad_norm": 1.7638303034823142, + "learning_rate": 1.9131602063974434e-05, + "loss": 0.8621, + "step": 6776 + }, + { + "epoch": 0.16, + "grad_norm": 2.066993018573765, + "learning_rate": 1.9131291021220902e-05, + "loss": 0.8874, + "step": 6777 + }, + { + "epoch": 0.16, + "grad_norm": 2.1401197046908673, + "learning_rate": 1.91309799253021e-05, + "loss": 0.9947, + "step": 6778 + }, + { + "epoch": 0.16, + "grad_norm": 2.0190769369134776, + "learning_rate": 1.9130668776219843e-05, + "loss": 0.8244, + "step": 6779 + }, + { + "epoch": 0.16, + "grad_norm": 1.7286116225517134, + "learning_rate": 1.913035757397594e-05, + "loss": 0.767, + "step": 6780 + }, + { + "epoch": 0.16, + "grad_norm": 2.216113666459922, + "learning_rate": 1.913004631857221e-05, + "loss": 0.849, + "step": 6781 + }, + { + "epoch": 0.16, + "grad_norm": 1.7115561621497994, + "learning_rate": 1.9129735010010452e-05, + "loss": 1.0186, + "step": 6782 + }, + { + "epoch": 0.16, + "grad_norm": 1.5446579638578974, + "learning_rate": 1.9129423648292492e-05, + "loss": 1.049, + "step": 6783 + }, + { + "epoch": 0.16, + "grad_norm": 1.5285503096322963, + "learning_rate": 1.9129112233420138e-05, + "loss": 0.8778, + "step": 6784 + }, + { + "epoch": 0.16, + "grad_norm": 0.7784924675535075, + "learning_rate": 1.9128800765395196e-05, + "loss": 0.7349, + "step": 6785 + }, + { + "epoch": 0.16, + "grad_norm": 1.8579948488073144, + "learning_rate": 1.9128489244219492e-05, + "loss": 1.0701, + "step": 6786 + }, + { + "epoch": 0.16, + "grad_norm": 1.8914784934603481, + "learning_rate": 1.9128177669894832e-05, + "loss": 0.8921, + "step": 6787 + }, + { + "epoch": 0.16, + "grad_norm": 2.556407490883191, + "learning_rate": 1.9127866042423033e-05, + "loss": 0.8125, + "step": 6788 + }, + { + "epoch": 0.16, + "grad_norm": 19.531606996578702, + "learning_rate": 1.9127554361805902e-05, + "loss": 0.9981, + "step": 6789 + }, + { + "epoch": 0.16, + "grad_norm": 1.9951831747897588, + "learning_rate": 1.9127242628045268e-05, + "loss": 0.9185, + "step": 6790 + }, + { + "epoch": 0.16, + "grad_norm": 1.823096101006913, + "learning_rate": 1.912693084114293e-05, + "loss": 0.907, + "step": 6791 + }, + { + "epoch": 0.16, + "grad_norm": 1.6603529927135716, + "learning_rate": 1.9126619001100715e-05, + "loss": 0.9064, + "step": 6792 + }, + { + "epoch": 0.16, + "grad_norm": 1.7367253677981949, + "learning_rate": 1.9126307107920433e-05, + "loss": 0.8958, + "step": 6793 + }, + { + "epoch": 0.16, + "grad_norm": 2.000848818774381, + "learning_rate": 1.9125995161603904e-05, + "loss": 0.9662, + "step": 6794 + }, + { + "epoch": 0.16, + "grad_norm": 1.4896674446442837, + "learning_rate": 1.912568316215294e-05, + "loss": 0.8329, + "step": 6795 + }, + { + "epoch": 0.16, + "grad_norm": 1.6031138527010136, + "learning_rate": 1.9125371109569362e-05, + "loss": 0.9725, + "step": 6796 + }, + { + "epoch": 0.16, + "grad_norm": 1.6818535321723456, + "learning_rate": 1.912505900385498e-05, + "loss": 1.0454, + "step": 6797 + }, + { + "epoch": 0.16, + "grad_norm": 1.5083514113911098, + "learning_rate": 1.912474684501162e-05, + "loss": 0.9966, + "step": 6798 + }, + { + "epoch": 0.16, + "grad_norm": 1.718037792611767, + "learning_rate": 1.9124434633041097e-05, + "loss": 1.021, + "step": 6799 + }, + { + "epoch": 0.16, + "grad_norm": 1.8287156456140934, + "learning_rate": 1.9124122367945223e-05, + "loss": 0.8746, + "step": 6800 + }, + { + "epoch": 0.16, + "grad_norm": 1.6166151564454454, + "learning_rate": 1.912381004972582e-05, + "loss": 0.9472, + "step": 6801 + }, + { + "epoch": 0.16, + "grad_norm": 1.7764112404550751, + "learning_rate": 1.9123497678384706e-05, + "loss": 0.9113, + "step": 6802 + }, + { + "epoch": 0.16, + "grad_norm": 1.832559798152361, + "learning_rate": 1.91231852539237e-05, + "loss": 0.8415, + "step": 6803 + }, + { + "epoch": 0.16, + "grad_norm": 1.8026199701021839, + "learning_rate": 1.9122872776344622e-05, + "loss": 0.855, + "step": 6804 + }, + { + "epoch": 0.16, + "grad_norm": 1.789848668473047, + "learning_rate": 1.912256024564929e-05, + "loss": 1.0213, + "step": 6805 + }, + { + "epoch": 0.16, + "grad_norm": 1.694208122611021, + "learning_rate": 1.9122247661839524e-05, + "loss": 0.9519, + "step": 6806 + }, + { + "epoch": 0.16, + "grad_norm": 1.6380288900069424, + "learning_rate": 1.9121935024917144e-05, + "loss": 0.9147, + "step": 6807 + }, + { + "epoch": 0.16, + "grad_norm": 0.7894047841073352, + "learning_rate": 1.9121622334883973e-05, + "loss": 0.7474, + "step": 6808 + }, + { + "epoch": 0.16, + "grad_norm": 1.5845036212308274, + "learning_rate": 1.9121309591741822e-05, + "loss": 0.9348, + "step": 6809 + }, + { + "epoch": 0.16, + "grad_norm": 2.442410527918675, + "learning_rate": 1.9120996795492525e-05, + "loss": 0.9834, + "step": 6810 + }, + { + "epoch": 0.16, + "grad_norm": 1.6611364601530834, + "learning_rate": 1.9120683946137894e-05, + "loss": 0.9188, + "step": 6811 + }, + { + "epoch": 0.16, + "grad_norm": 2.2646800719880424, + "learning_rate": 1.9120371043679756e-05, + "loss": 0.9637, + "step": 6812 + }, + { + "epoch": 0.16, + "grad_norm": 1.9472371780868993, + "learning_rate": 1.912005808811993e-05, + "loss": 0.8878, + "step": 6813 + }, + { + "epoch": 0.16, + "grad_norm": 2.081996066341777, + "learning_rate": 1.9119745079460238e-05, + "loss": 0.9104, + "step": 6814 + }, + { + "epoch": 0.16, + "grad_norm": 1.9124295768680735, + "learning_rate": 1.91194320177025e-05, + "loss": 0.9429, + "step": 6815 + }, + { + "epoch": 0.16, + "grad_norm": 1.6493714806779673, + "learning_rate": 1.9119118902848546e-05, + "loss": 0.9715, + "step": 6816 + }, + { + "epoch": 0.16, + "grad_norm": 0.8100761583370124, + "learning_rate": 1.9118805734900192e-05, + "loss": 0.7282, + "step": 6817 + }, + { + "epoch": 0.16, + "grad_norm": 2.034579718819595, + "learning_rate": 1.9118492513859264e-05, + "loss": 1.0057, + "step": 6818 + }, + { + "epoch": 0.16, + "grad_norm": 1.7609983272849719, + "learning_rate": 1.911817923972759e-05, + "loss": 1.0022, + "step": 6819 + }, + { + "epoch": 0.16, + "grad_norm": 1.5625197437089502, + "learning_rate": 1.9117865912506984e-05, + "loss": 0.9822, + "step": 6820 + }, + { + "epoch": 0.16, + "grad_norm": 1.612972983660714, + "learning_rate": 1.9117552532199278e-05, + "loss": 0.7862, + "step": 6821 + }, + { + "epoch": 0.16, + "grad_norm": 1.4869306532965052, + "learning_rate": 1.9117239098806296e-05, + "loss": 0.884, + "step": 6822 + }, + { + "epoch": 0.16, + "grad_norm": 1.7118037825857562, + "learning_rate": 1.911692561232986e-05, + "loss": 1.0055, + "step": 6823 + }, + { + "epoch": 0.16, + "grad_norm": 0.8469888480595026, + "learning_rate": 1.9116612072771798e-05, + "loss": 0.7661, + "step": 6824 + }, + { + "epoch": 0.16, + "grad_norm": 2.2359588048696417, + "learning_rate": 1.911629848013393e-05, + "loss": 0.8772, + "step": 6825 + }, + { + "epoch": 0.16, + "grad_norm": 1.61973436871601, + "learning_rate": 1.911598483441809e-05, + "loss": 0.9079, + "step": 6826 + }, + { + "epoch": 0.16, + "grad_norm": 1.685461704855619, + "learning_rate": 1.91156711356261e-05, + "loss": 0.8979, + "step": 6827 + }, + { + "epoch": 0.16, + "grad_norm": 1.5932890419936312, + "learning_rate": 1.911535738375979e-05, + "loss": 0.898, + "step": 6828 + }, + { + "epoch": 0.16, + "grad_norm": 1.6499914795857513, + "learning_rate": 1.9115043578820978e-05, + "loss": 0.8886, + "step": 6829 + }, + { + "epoch": 0.16, + "grad_norm": 1.5609835487371884, + "learning_rate": 1.9114729720811497e-05, + "loss": 0.8927, + "step": 6830 + }, + { + "epoch": 0.16, + "grad_norm": 1.6043062259038383, + "learning_rate": 1.9114415809733176e-05, + "loss": 0.9046, + "step": 6831 + }, + { + "epoch": 0.16, + "grad_norm": 7.386063259709077, + "learning_rate": 1.911410184558784e-05, + "loss": 0.9499, + "step": 6832 + }, + { + "epoch": 0.16, + "grad_norm": 0.7946267718133744, + "learning_rate": 1.911378782837732e-05, + "loss": 0.7758, + "step": 6833 + }, + { + "epoch": 0.16, + "grad_norm": 1.9172587072197427, + "learning_rate": 1.9113473758103435e-05, + "loss": 0.8711, + "step": 6834 + }, + { + "epoch": 0.16, + "grad_norm": 0.8048958217211241, + "learning_rate": 1.9113159634768025e-05, + "loss": 0.733, + "step": 6835 + }, + { + "epoch": 0.16, + "grad_norm": 1.6819991851217087, + "learning_rate": 1.9112845458372914e-05, + "loss": 1.079, + "step": 6836 + }, + { + "epoch": 0.16, + "grad_norm": 1.6663392927418672, + "learning_rate": 1.9112531228919933e-05, + "loss": 0.9052, + "step": 6837 + }, + { + "epoch": 0.16, + "grad_norm": 1.6427969941596168, + "learning_rate": 1.911221694641091e-05, + "loss": 1.1119, + "step": 6838 + }, + { + "epoch": 0.16, + "grad_norm": 1.7968071180490675, + "learning_rate": 1.9111902610847674e-05, + "loss": 0.9056, + "step": 6839 + }, + { + "epoch": 0.16, + "grad_norm": 1.6127591885691017, + "learning_rate": 1.9111588222232056e-05, + "loss": 1.0381, + "step": 6840 + }, + { + "epoch": 0.16, + "grad_norm": 1.6392591280619724, + "learning_rate": 1.9111273780565886e-05, + "loss": 0.8678, + "step": 6841 + }, + { + "epoch": 0.16, + "grad_norm": 1.432154355886258, + "learning_rate": 1.9110959285850995e-05, + "loss": 0.9163, + "step": 6842 + }, + { + "epoch": 0.16, + "grad_norm": 1.7271139196819916, + "learning_rate": 1.9110644738089216e-05, + "loss": 0.8986, + "step": 6843 + }, + { + "epoch": 0.16, + "grad_norm": 2.4878345344475865, + "learning_rate": 1.911033013728238e-05, + "loss": 0.9176, + "step": 6844 + }, + { + "epoch": 0.16, + "grad_norm": 1.9703669458006268, + "learning_rate": 1.9110015483432318e-05, + "loss": 0.9261, + "step": 6845 + }, + { + "epoch": 0.16, + "grad_norm": 2.0790241066690984, + "learning_rate": 1.9109700776540857e-05, + "loss": 0.9774, + "step": 6846 + }, + { + "epoch": 0.16, + "grad_norm": 2.0687499692742333, + "learning_rate": 1.910938601660984e-05, + "loss": 0.9827, + "step": 6847 + }, + { + "epoch": 0.16, + "grad_norm": 1.8276404978047813, + "learning_rate": 1.910907120364109e-05, + "loss": 0.9004, + "step": 6848 + }, + { + "epoch": 0.16, + "grad_norm": 1.6041366711994374, + "learning_rate": 1.9108756337636446e-05, + "loss": 0.889, + "step": 6849 + }, + { + "epoch": 0.16, + "grad_norm": 1.7099122841676246, + "learning_rate": 1.9108441418597737e-05, + "loss": 1.0112, + "step": 6850 + }, + { + "epoch": 0.16, + "grad_norm": 0.7898630336705045, + "learning_rate": 1.9108126446526797e-05, + "loss": 0.7132, + "step": 6851 + }, + { + "epoch": 0.16, + "grad_norm": 0.7958849963014178, + "learning_rate": 1.9107811421425465e-05, + "loss": 0.7383, + "step": 6852 + }, + { + "epoch": 0.16, + "grad_norm": 1.4125441435337631, + "learning_rate": 1.9107496343295567e-05, + "loss": 0.9381, + "step": 6853 + }, + { + "epoch": 0.16, + "grad_norm": 1.4881356916051736, + "learning_rate": 1.9107181212138945e-05, + "loss": 0.7395, + "step": 6854 + }, + { + "epoch": 0.16, + "grad_norm": 2.1183848272454777, + "learning_rate": 1.910686602795743e-05, + "loss": 0.9495, + "step": 6855 + }, + { + "epoch": 0.16, + "grad_norm": 1.7121934846655904, + "learning_rate": 1.9106550790752857e-05, + "loss": 0.8964, + "step": 6856 + }, + { + "epoch": 0.16, + "grad_norm": 1.8309503508723208, + "learning_rate": 1.9106235500527065e-05, + "loss": 0.9487, + "step": 6857 + }, + { + "epoch": 0.16, + "grad_norm": 1.702192817042143, + "learning_rate": 1.9105920157281883e-05, + "loss": 0.9006, + "step": 6858 + }, + { + "epoch": 0.16, + "grad_norm": 1.79910686135208, + "learning_rate": 1.9105604761019153e-05, + "loss": 0.8478, + "step": 6859 + }, + { + "epoch": 0.16, + "grad_norm": 1.7289236503269576, + "learning_rate": 1.910528931174071e-05, + "loss": 1.0025, + "step": 6860 + }, + { + "epoch": 0.16, + "grad_norm": 1.6990582405046126, + "learning_rate": 1.9104973809448388e-05, + "loss": 1.01, + "step": 6861 + }, + { + "epoch": 0.16, + "grad_norm": 1.8015634617520917, + "learning_rate": 1.9104658254144025e-05, + "loss": 0.9476, + "step": 6862 + }, + { + "epoch": 0.16, + "grad_norm": 1.9990578550570477, + "learning_rate": 1.9104342645829464e-05, + "loss": 0.8492, + "step": 6863 + }, + { + "epoch": 0.16, + "grad_norm": 1.6280623528086513, + "learning_rate": 1.9104026984506533e-05, + "loss": 0.9697, + "step": 6864 + }, + { + "epoch": 0.16, + "grad_norm": 1.949380798826889, + "learning_rate": 1.9103711270177077e-05, + "loss": 0.8536, + "step": 6865 + }, + { + "epoch": 0.16, + "grad_norm": 0.7542120150069636, + "learning_rate": 1.9103395502842932e-05, + "loss": 0.7547, + "step": 6866 + }, + { + "epoch": 0.16, + "grad_norm": 1.6857484303177508, + "learning_rate": 1.9103079682505938e-05, + "loss": 0.9264, + "step": 6867 + }, + { + "epoch": 0.16, + "grad_norm": 1.7291432821806167, + "learning_rate": 1.9102763809167927e-05, + "loss": 0.9348, + "step": 6868 + }, + { + "epoch": 0.16, + "grad_norm": 1.7036188744764498, + "learning_rate": 1.9102447882830745e-05, + "loss": 0.8862, + "step": 6869 + }, + { + "epoch": 0.16, + "grad_norm": 1.643498103726902, + "learning_rate": 1.910213190349623e-05, + "loss": 1.0668, + "step": 6870 + }, + { + "epoch": 0.16, + "grad_norm": 1.8051146331038967, + "learning_rate": 1.9101815871166222e-05, + "loss": 0.8439, + "step": 6871 + }, + { + "epoch": 0.16, + "grad_norm": 1.9166721568087552, + "learning_rate": 1.9101499785842563e-05, + "loss": 0.93, + "step": 6872 + }, + { + "epoch": 0.16, + "grad_norm": 1.6569241838202895, + "learning_rate": 1.9101183647527086e-05, + "loss": 0.9554, + "step": 6873 + }, + { + "epoch": 0.16, + "grad_norm": 1.8663879403039154, + "learning_rate": 1.910086745622164e-05, + "loss": 0.7715, + "step": 6874 + }, + { + "epoch": 0.16, + "grad_norm": 1.9351096359347444, + "learning_rate": 1.910055121192806e-05, + "loss": 0.983, + "step": 6875 + }, + { + "epoch": 0.16, + "grad_norm": 1.8623745792138195, + "learning_rate": 1.910023491464819e-05, + "loss": 1.0907, + "step": 6876 + }, + { + "epoch": 0.16, + "grad_norm": 1.7197171832215554, + "learning_rate": 1.9099918564383873e-05, + "loss": 1.0077, + "step": 6877 + }, + { + "epoch": 0.16, + "grad_norm": 1.711538492489643, + "learning_rate": 1.9099602161136947e-05, + "loss": 0.987, + "step": 6878 + }, + { + "epoch": 0.16, + "grad_norm": 1.544157928118615, + "learning_rate": 1.9099285704909256e-05, + "loss": 0.9309, + "step": 6879 + }, + { + "epoch": 0.16, + "grad_norm": 1.7155789674298043, + "learning_rate": 1.9098969195702646e-05, + "loss": 0.8929, + "step": 6880 + }, + { + "epoch": 0.16, + "grad_norm": 0.789867892571983, + "learning_rate": 1.9098652633518956e-05, + "loss": 0.7536, + "step": 6881 + }, + { + "epoch": 0.16, + "grad_norm": 1.487829289894396, + "learning_rate": 1.9098336018360027e-05, + "loss": 0.9032, + "step": 6882 + }, + { + "epoch": 0.16, + "grad_norm": 2.0788934427322543, + "learning_rate": 1.9098019350227705e-05, + "loss": 0.9924, + "step": 6883 + }, + { + "epoch": 0.16, + "grad_norm": 1.7222314979163929, + "learning_rate": 1.9097702629123836e-05, + "loss": 0.9095, + "step": 6884 + }, + { + "epoch": 0.16, + "grad_norm": 1.8654070535525709, + "learning_rate": 1.9097385855050263e-05, + "loss": 0.9489, + "step": 6885 + }, + { + "epoch": 0.16, + "grad_norm": 2.330942107463734, + "learning_rate": 1.9097069028008827e-05, + "loss": 0.9569, + "step": 6886 + }, + { + "epoch": 0.16, + "grad_norm": 1.6078847939568655, + "learning_rate": 1.9096752148001378e-05, + "loss": 0.8887, + "step": 6887 + }, + { + "epoch": 0.16, + "grad_norm": 1.650806457039182, + "learning_rate": 1.9096435215029757e-05, + "loss": 0.8367, + "step": 6888 + }, + { + "epoch": 0.16, + "grad_norm": 2.1461457211324517, + "learning_rate": 1.9096118229095806e-05, + "loss": 0.8478, + "step": 6889 + }, + { + "epoch": 0.16, + "grad_norm": 1.571073815606921, + "learning_rate": 1.909580119020138e-05, + "loss": 0.9969, + "step": 6890 + }, + { + "epoch": 0.16, + "grad_norm": 0.838231214193823, + "learning_rate": 1.9095484098348314e-05, + "loss": 0.7149, + "step": 6891 + }, + { + "epoch": 0.16, + "grad_norm": 1.6471651365858868, + "learning_rate": 1.9095166953538467e-05, + "loss": 0.8778, + "step": 6892 + }, + { + "epoch": 0.16, + "grad_norm": 1.7310300768402649, + "learning_rate": 1.9094849755773675e-05, + "loss": 0.9479, + "step": 6893 + }, + { + "epoch": 0.16, + "grad_norm": 2.1518142287842834, + "learning_rate": 1.909453250505579e-05, + "loss": 0.889, + "step": 6894 + }, + { + "epoch": 0.16, + "grad_norm": 1.9678008708567925, + "learning_rate": 1.9094215201386656e-05, + "loss": 1.0479, + "step": 6895 + }, + { + "epoch": 0.16, + "grad_norm": 1.7029150236797617, + "learning_rate": 1.9093897844768122e-05, + "loss": 0.9259, + "step": 6896 + }, + { + "epoch": 0.16, + "grad_norm": 2.6025029149394543, + "learning_rate": 1.9093580435202037e-05, + "loss": 0.8277, + "step": 6897 + }, + { + "epoch": 0.16, + "grad_norm": 1.515621883157777, + "learning_rate": 1.9093262972690246e-05, + "loss": 0.8991, + "step": 6898 + }, + { + "epoch": 0.16, + "grad_norm": 4.233080954441332, + "learning_rate": 1.90929454572346e-05, + "loss": 0.8782, + "step": 6899 + }, + { + "epoch": 0.16, + "grad_norm": 0.7542819407463575, + "learning_rate": 1.9092627888836945e-05, + "loss": 0.7715, + "step": 6900 + }, + { + "epoch": 0.16, + "grad_norm": 1.6802769575125935, + "learning_rate": 1.9092310267499135e-05, + "loss": 0.8909, + "step": 6901 + }, + { + "epoch": 0.16, + "grad_norm": 0.7700687541178175, + "learning_rate": 1.9091992593223015e-05, + "loss": 0.7591, + "step": 6902 + }, + { + "epoch": 0.16, + "grad_norm": 1.7209527000988676, + "learning_rate": 1.9091674866010434e-05, + "loss": 0.936, + "step": 6903 + }, + { + "epoch": 0.16, + "grad_norm": 1.6147282785137114, + "learning_rate": 1.9091357085863246e-05, + "loss": 0.94, + "step": 6904 + }, + { + "epoch": 0.16, + "grad_norm": 0.7546066293497768, + "learning_rate": 1.9091039252783296e-05, + "loss": 0.7524, + "step": 6905 + }, + { + "epoch": 0.16, + "grad_norm": 1.4805674338972514, + "learning_rate": 1.909072136677244e-05, + "loss": 0.8986, + "step": 6906 + }, + { + "epoch": 0.16, + "grad_norm": 1.7179381299794816, + "learning_rate": 1.909040342783252e-05, + "loss": 0.8681, + "step": 6907 + }, + { + "epoch": 0.16, + "grad_norm": 1.5739260236929926, + "learning_rate": 1.90900854359654e-05, + "loss": 0.9454, + "step": 6908 + }, + { + "epoch": 0.16, + "grad_norm": 1.5486311376875077, + "learning_rate": 1.9089767391172925e-05, + "loss": 0.8735, + "step": 6909 + }, + { + "epoch": 0.16, + "grad_norm": 1.7410066472435457, + "learning_rate": 1.9089449293456944e-05, + "loss": 0.8388, + "step": 6910 + }, + { + "epoch": 0.16, + "grad_norm": 1.5474594275894067, + "learning_rate": 1.908913114281931e-05, + "loss": 0.9232, + "step": 6911 + }, + { + "epoch": 0.16, + "grad_norm": 1.9402834078084523, + "learning_rate": 1.908881293926188e-05, + "loss": 1.0604, + "step": 6912 + }, + { + "epoch": 0.16, + "grad_norm": 0.769645403772883, + "learning_rate": 1.9088494682786502e-05, + "loss": 0.7438, + "step": 6913 + }, + { + "epoch": 0.16, + "grad_norm": 1.5379564915787582, + "learning_rate": 1.908817637339503e-05, + "loss": 0.9576, + "step": 6914 + }, + { + "epoch": 0.16, + "grad_norm": 2.1066905576998347, + "learning_rate": 1.908785801108932e-05, + "loss": 0.9084, + "step": 6915 + }, + { + "epoch": 0.16, + "grad_norm": 2.236702436195033, + "learning_rate": 1.9087539595871222e-05, + "loss": 0.8818, + "step": 6916 + }, + { + "epoch": 0.16, + "grad_norm": 1.6886830065622807, + "learning_rate": 1.908722112774259e-05, + "loss": 1.0315, + "step": 6917 + }, + { + "epoch": 0.16, + "grad_norm": 1.9204956385167136, + "learning_rate": 1.9086902606705286e-05, + "loss": 0.8753, + "step": 6918 + }, + { + "epoch": 0.16, + "grad_norm": 1.8359367155329571, + "learning_rate": 1.9086584032761148e-05, + "loss": 0.825, + "step": 6919 + }, + { + "epoch": 0.16, + "grad_norm": 1.676227352246852, + "learning_rate": 1.9086265405912047e-05, + "loss": 0.9373, + "step": 6920 + }, + { + "epoch": 0.16, + "grad_norm": 1.7528110376331698, + "learning_rate": 1.9085946726159833e-05, + "loss": 0.836, + "step": 6921 + }, + { + "epoch": 0.16, + "grad_norm": 0.7889829335618939, + "learning_rate": 1.908562799350636e-05, + "loss": 0.7965, + "step": 6922 + }, + { + "epoch": 0.16, + "grad_norm": 1.6668450292531218, + "learning_rate": 1.9085309207953483e-05, + "loss": 0.9511, + "step": 6923 + }, + { + "epoch": 0.16, + "grad_norm": 1.6372274272706595, + "learning_rate": 1.908499036950306e-05, + "loss": 0.8517, + "step": 6924 + }, + { + "epoch": 0.16, + "grad_norm": 2.1357431661796986, + "learning_rate": 1.9084671478156947e-05, + "loss": 0.8062, + "step": 6925 + }, + { + "epoch": 0.16, + "grad_norm": 1.7420251580836645, + "learning_rate": 1.9084352533917e-05, + "loss": 0.8981, + "step": 6926 + }, + { + "epoch": 0.16, + "grad_norm": 1.7696393732393751, + "learning_rate": 1.908403353678508e-05, + "loss": 0.9111, + "step": 6927 + }, + { + "epoch": 0.16, + "grad_norm": 2.219876069160786, + "learning_rate": 1.9083714486763035e-05, + "loss": 0.8541, + "step": 6928 + }, + { + "epoch": 0.16, + "grad_norm": 1.8715274848964836, + "learning_rate": 1.9083395383852733e-05, + "loss": 0.9809, + "step": 6929 + }, + { + "epoch": 0.16, + "grad_norm": 1.6132753818904015, + "learning_rate": 1.9083076228056023e-05, + "loss": 0.9729, + "step": 6930 + }, + { + "epoch": 0.16, + "grad_norm": 1.5342452458968552, + "learning_rate": 1.908275701937477e-05, + "loss": 0.9211, + "step": 6931 + }, + { + "epoch": 0.16, + "grad_norm": 1.8881163094193496, + "learning_rate": 1.9082437757810827e-05, + "loss": 0.9755, + "step": 6932 + }, + { + "epoch": 0.16, + "grad_norm": 1.7101203071916817, + "learning_rate": 1.908211844336606e-05, + "loss": 0.8755, + "step": 6933 + }, + { + "epoch": 0.16, + "grad_norm": 1.8883881276865215, + "learning_rate": 1.9081799076042323e-05, + "loss": 0.9548, + "step": 6934 + }, + { + "epoch": 0.16, + "grad_norm": 1.6607960800013715, + "learning_rate": 1.9081479655841476e-05, + "loss": 0.809, + "step": 6935 + }, + { + "epoch": 0.16, + "grad_norm": 1.8627378007017745, + "learning_rate": 1.908116018276538e-05, + "loss": 1.0578, + "step": 6936 + }, + { + "epoch": 0.16, + "grad_norm": 1.5647915389187512, + "learning_rate": 1.9080840656815895e-05, + "loss": 0.9221, + "step": 6937 + }, + { + "epoch": 0.16, + "grad_norm": 1.6929592236883522, + "learning_rate": 1.908052107799488e-05, + "loss": 1.0012, + "step": 6938 + }, + { + "epoch": 0.16, + "grad_norm": 1.6003840249038441, + "learning_rate": 1.9080201446304198e-05, + "loss": 0.9109, + "step": 6939 + }, + { + "epoch": 0.16, + "grad_norm": 1.742188554841522, + "learning_rate": 1.9079881761745706e-05, + "loss": 0.8932, + "step": 6940 + }, + { + "epoch": 0.16, + "grad_norm": 1.5391036067625072, + "learning_rate": 1.907956202432127e-05, + "loss": 0.8457, + "step": 6941 + }, + { + "epoch": 0.16, + "grad_norm": 1.6150031167119885, + "learning_rate": 1.9079242234032747e-05, + "loss": 1.0135, + "step": 6942 + }, + { + "epoch": 0.16, + "grad_norm": 1.8348425604114538, + "learning_rate": 1.9078922390882e-05, + "loss": 0.9131, + "step": 6943 + }, + { + "epoch": 0.16, + "grad_norm": 1.686011681488566, + "learning_rate": 1.9078602494870894e-05, + "loss": 0.8632, + "step": 6944 + }, + { + "epoch": 0.16, + "grad_norm": 1.6531759210898016, + "learning_rate": 1.907828254600129e-05, + "loss": 0.9727, + "step": 6945 + }, + { + "epoch": 0.16, + "grad_norm": 3.1960195999039898, + "learning_rate": 1.9077962544275053e-05, + "loss": 0.9367, + "step": 6946 + }, + { + "epoch": 0.16, + "grad_norm": 2.106278219048578, + "learning_rate": 1.9077642489694043e-05, + "loss": 0.981, + "step": 6947 + }, + { + "epoch": 0.16, + "grad_norm": 1.641050063143954, + "learning_rate": 1.9077322382260123e-05, + "loss": 0.875, + "step": 6948 + }, + { + "epoch": 0.16, + "grad_norm": 1.6657319883298838, + "learning_rate": 1.907700222197516e-05, + "loss": 0.9131, + "step": 6949 + }, + { + "epoch": 0.16, + "grad_norm": 2.0268579649783502, + "learning_rate": 1.9076682008841015e-05, + "loss": 0.8554, + "step": 6950 + }, + { + "epoch": 0.16, + "grad_norm": 1.6889526869951739, + "learning_rate": 1.9076361742859556e-05, + "loss": 0.9576, + "step": 6951 + }, + { + "epoch": 0.16, + "grad_norm": 0.8200859585089032, + "learning_rate": 1.9076041424032642e-05, + "loss": 0.8325, + "step": 6952 + }, + { + "epoch": 0.16, + "grad_norm": 1.7984311118271903, + "learning_rate": 1.9075721052362145e-05, + "loss": 0.908, + "step": 6953 + }, + { + "epoch": 0.16, + "grad_norm": 0.880037104085133, + "learning_rate": 1.9075400627849925e-05, + "loss": 0.7811, + "step": 6954 + }, + { + "epoch": 0.16, + "grad_norm": 1.6309142883165615, + "learning_rate": 1.9075080150497848e-05, + "loss": 0.9096, + "step": 6955 + }, + { + "epoch": 0.16, + "grad_norm": 1.698816306350099, + "learning_rate": 1.907475962030778e-05, + "loss": 0.9883, + "step": 6956 + }, + { + "epoch": 0.16, + "grad_norm": 1.6116050103559048, + "learning_rate": 1.9074439037281594e-05, + "loss": 0.8324, + "step": 6957 + }, + { + "epoch": 0.16, + "grad_norm": 0.8583059272760772, + "learning_rate": 1.907411840142115e-05, + "loss": 0.7945, + "step": 6958 + }, + { + "epoch": 0.16, + "grad_norm": 2.415715219802404, + "learning_rate": 1.907379771272831e-05, + "loss": 0.9098, + "step": 6959 + }, + { + "epoch": 0.16, + "grad_norm": 2.095424514592777, + "learning_rate": 1.9073476971204952e-05, + "loss": 0.8587, + "step": 6960 + }, + { + "epoch": 0.16, + "grad_norm": 2.10269781652322, + "learning_rate": 1.9073156176852936e-05, + "loss": 0.9157, + "step": 6961 + }, + { + "epoch": 0.16, + "grad_norm": 1.7386896592751957, + "learning_rate": 1.9072835329674134e-05, + "loss": 0.8924, + "step": 6962 + }, + { + "epoch": 0.16, + "grad_norm": 1.6080775233369582, + "learning_rate": 1.907251442967041e-05, + "loss": 1.0117, + "step": 6963 + }, + { + "epoch": 0.16, + "grad_norm": 1.636745402252411, + "learning_rate": 1.9072193476843636e-05, + "loss": 0.8144, + "step": 6964 + }, + { + "epoch": 0.16, + "grad_norm": 1.71760909122891, + "learning_rate": 1.907187247119568e-05, + "loss": 0.9001, + "step": 6965 + }, + { + "epoch": 0.16, + "grad_norm": 2.4605159709066204, + "learning_rate": 1.907155141272841e-05, + "loss": 0.8703, + "step": 6966 + }, + { + "epoch": 0.16, + "grad_norm": 1.822763169615348, + "learning_rate": 1.9071230301443698e-05, + "loss": 0.8712, + "step": 6967 + }, + { + "epoch": 0.16, + "grad_norm": 3.3178867328491357, + "learning_rate": 1.907090913734341e-05, + "loss": 0.8538, + "step": 6968 + }, + { + "epoch": 0.16, + "grad_norm": 2.207872384933053, + "learning_rate": 1.9070587920429414e-05, + "loss": 0.9414, + "step": 6969 + }, + { + "epoch": 0.16, + "grad_norm": 1.7761387103822222, + "learning_rate": 1.9070266650703585e-05, + "loss": 0.9557, + "step": 6970 + }, + { + "epoch": 0.16, + "grad_norm": 0.8027890738307734, + "learning_rate": 1.9069945328167792e-05, + "loss": 0.7469, + "step": 6971 + }, + { + "epoch": 0.16, + "grad_norm": 1.5834261917467691, + "learning_rate": 1.906962395282391e-05, + "loss": 0.8328, + "step": 6972 + }, + { + "epoch": 0.16, + "grad_norm": 2.7813969142441293, + "learning_rate": 1.90693025246738e-05, + "loss": 0.866, + "step": 6973 + }, + { + "epoch": 0.16, + "grad_norm": 1.5241782287329741, + "learning_rate": 1.9068981043719343e-05, + "loss": 0.9174, + "step": 6974 + }, + { + "epoch": 0.16, + "grad_norm": 1.8023059411002829, + "learning_rate": 1.9068659509962407e-05, + "loss": 1.0014, + "step": 6975 + }, + { + "epoch": 0.16, + "grad_norm": 1.7453081248034792, + "learning_rate": 1.9068337923404863e-05, + "loss": 0.9376, + "step": 6976 + }, + { + "epoch": 0.16, + "grad_norm": 1.840924575873335, + "learning_rate": 1.9068016284048584e-05, + "loss": 0.9065, + "step": 6977 + }, + { + "epoch": 0.16, + "grad_norm": 1.7409615771853717, + "learning_rate": 1.9067694591895443e-05, + "loss": 0.8857, + "step": 6978 + }, + { + "epoch": 0.16, + "grad_norm": 0.7748101280935574, + "learning_rate": 1.9067372846947315e-05, + "loss": 0.7383, + "step": 6979 + }, + { + "epoch": 0.16, + "grad_norm": 3.1513109643585446, + "learning_rate": 1.906705104920607e-05, + "loss": 0.8154, + "step": 6980 + }, + { + "epoch": 0.16, + "grad_norm": 1.4645083541359483, + "learning_rate": 1.9066729198673588e-05, + "loss": 0.8598, + "step": 6981 + }, + { + "epoch": 0.16, + "grad_norm": 1.587011725244856, + "learning_rate": 1.9066407295351732e-05, + "loss": 0.9981, + "step": 6982 + }, + { + "epoch": 0.16, + "grad_norm": 1.5858296716971247, + "learning_rate": 1.9066085339242387e-05, + "loss": 1.0393, + "step": 6983 + }, + { + "epoch": 0.16, + "grad_norm": 1.6159551787632338, + "learning_rate": 1.906576333034742e-05, + "loss": 1.0934, + "step": 6984 + }, + { + "epoch": 0.16, + "grad_norm": 1.4676255261973996, + "learning_rate": 1.906544126866871e-05, + "loss": 0.9204, + "step": 6985 + }, + { + "epoch": 0.16, + "grad_norm": 1.4742845328070886, + "learning_rate": 1.906511915420813e-05, + "loss": 0.8202, + "step": 6986 + }, + { + "epoch": 0.16, + "grad_norm": 1.8515123943561467, + "learning_rate": 1.9064796986967557e-05, + "loss": 0.9592, + "step": 6987 + }, + { + "epoch": 0.16, + "grad_norm": 1.5986237552991545, + "learning_rate": 1.9064474766948864e-05, + "loss": 0.8758, + "step": 6988 + }, + { + "epoch": 0.16, + "grad_norm": 2.3997616964845885, + "learning_rate": 1.906415249415393e-05, + "loss": 0.909, + "step": 6989 + }, + { + "epoch": 0.16, + "grad_norm": 2.4910865455990856, + "learning_rate": 1.9063830168584633e-05, + "loss": 0.905, + "step": 6990 + }, + { + "epoch": 0.16, + "grad_norm": 1.846005708216825, + "learning_rate": 1.9063507790242845e-05, + "loss": 0.9499, + "step": 6991 + }, + { + "epoch": 0.16, + "grad_norm": 1.8450143685908709, + "learning_rate": 1.9063185359130446e-05, + "loss": 0.8983, + "step": 6992 + }, + { + "epoch": 0.16, + "grad_norm": 0.7661491199362566, + "learning_rate": 1.906286287524931e-05, + "loss": 0.7076, + "step": 6993 + }, + { + "epoch": 0.16, + "grad_norm": 1.8256535954853517, + "learning_rate": 1.9062540338601324e-05, + "loss": 0.9755, + "step": 6994 + }, + { + "epoch": 0.16, + "grad_norm": 1.5795100042678036, + "learning_rate": 1.906221774918835e-05, + "loss": 0.924, + "step": 6995 + }, + { + "epoch": 0.16, + "grad_norm": 1.576755660451162, + "learning_rate": 1.906189510701228e-05, + "loss": 0.9614, + "step": 6996 + }, + { + "epoch": 0.16, + "grad_norm": 1.5852068136629598, + "learning_rate": 1.906157241207499e-05, + "loss": 0.9444, + "step": 6997 + }, + { + "epoch": 0.16, + "grad_norm": 0.8748149255006349, + "learning_rate": 1.9061249664378353e-05, + "loss": 0.7272, + "step": 6998 + }, + { + "epoch": 0.16, + "grad_norm": 1.6741329297282246, + "learning_rate": 1.906092686392425e-05, + "loss": 0.9639, + "step": 6999 + }, + { + "epoch": 0.16, + "grad_norm": 2.3115879360654787, + "learning_rate": 1.9060604010714566e-05, + "loss": 0.8224, + "step": 7000 + }, + { + "epoch": 0.16, + "grad_norm": 1.572391909416782, + "learning_rate": 1.9060281104751178e-05, + "loss": 0.8909, + "step": 7001 + }, + { + "epoch": 0.16, + "grad_norm": 1.5173906477792338, + "learning_rate": 1.9059958146035963e-05, + "loss": 0.8189, + "step": 7002 + }, + { + "epoch": 0.16, + "grad_norm": 1.6863469198579348, + "learning_rate": 1.90596351345708e-05, + "loss": 0.9641, + "step": 7003 + }, + { + "epoch": 0.17, + "grad_norm": 1.512925213174594, + "learning_rate": 1.9059312070357577e-05, + "loss": 0.9204, + "step": 7004 + }, + { + "epoch": 0.17, + "grad_norm": 1.5603742752452685, + "learning_rate": 1.9058988953398166e-05, + "loss": 0.9379, + "step": 7005 + }, + { + "epoch": 0.17, + "grad_norm": 2.754036485225264, + "learning_rate": 1.9058665783694458e-05, + "loss": 0.9249, + "step": 7006 + }, + { + "epoch": 0.17, + "grad_norm": 2.50176017731328, + "learning_rate": 1.9058342561248332e-05, + "loss": 0.9424, + "step": 7007 + }, + { + "epoch": 0.17, + "grad_norm": 0.7972299655580594, + "learning_rate": 1.9058019286061662e-05, + "loss": 0.7071, + "step": 7008 + }, + { + "epoch": 0.17, + "grad_norm": 1.7696261644960543, + "learning_rate": 1.905769595813634e-05, + "loss": 0.874, + "step": 7009 + }, + { + "epoch": 0.17, + "grad_norm": 1.725426822766665, + "learning_rate": 1.9057372577474244e-05, + "loss": 0.9777, + "step": 7010 + }, + { + "epoch": 0.17, + "grad_norm": 0.789661217560472, + "learning_rate": 1.9057049144077256e-05, + "loss": 0.7508, + "step": 7011 + }, + { + "epoch": 0.17, + "grad_norm": 1.6276610573442152, + "learning_rate": 1.905672565794726e-05, + "loss": 0.9789, + "step": 7012 + }, + { + "epoch": 0.17, + "grad_norm": 1.5786187635219482, + "learning_rate": 1.9056402119086142e-05, + "loss": 0.8661, + "step": 7013 + }, + { + "epoch": 0.17, + "grad_norm": 1.7014186164005702, + "learning_rate": 1.9056078527495784e-05, + "loss": 0.8243, + "step": 7014 + }, + { + "epoch": 0.17, + "grad_norm": 1.8089728323255037, + "learning_rate": 1.9055754883178068e-05, + "loss": 0.9398, + "step": 7015 + }, + { + "epoch": 0.17, + "grad_norm": 2.1328923256641716, + "learning_rate": 1.905543118613488e-05, + "loss": 0.8858, + "step": 7016 + }, + { + "epoch": 0.17, + "grad_norm": 2.1876445711846664, + "learning_rate": 1.9055107436368104e-05, + "loss": 0.8648, + "step": 7017 + }, + { + "epoch": 0.17, + "grad_norm": 1.8041033484954796, + "learning_rate": 1.905478363387963e-05, + "loss": 0.9382, + "step": 7018 + }, + { + "epoch": 0.17, + "grad_norm": 1.7729003648394943, + "learning_rate": 1.9054459778671334e-05, + "loss": 0.8092, + "step": 7019 + }, + { + "epoch": 0.17, + "grad_norm": 1.8080776259875613, + "learning_rate": 1.9054135870745106e-05, + "loss": 0.8242, + "step": 7020 + }, + { + "epoch": 0.17, + "grad_norm": 0.7897976765260312, + "learning_rate": 1.9053811910102838e-05, + "loss": 0.7639, + "step": 7021 + }, + { + "epoch": 0.17, + "grad_norm": 1.5739577729836631, + "learning_rate": 1.9053487896746406e-05, + "loss": 0.9309, + "step": 7022 + }, + { + "epoch": 0.17, + "grad_norm": 0.8029388735888753, + "learning_rate": 1.9053163830677705e-05, + "loss": 0.7452, + "step": 7023 + }, + { + "epoch": 0.17, + "grad_norm": 2.0195105018854997, + "learning_rate": 1.9052839711898614e-05, + "loss": 0.9335, + "step": 7024 + }, + { + "epoch": 0.17, + "grad_norm": 0.8682978624212322, + "learning_rate": 1.9052515540411027e-05, + "loss": 0.8057, + "step": 7025 + }, + { + "epoch": 0.17, + "grad_norm": 1.7043727281057854, + "learning_rate": 1.905219131621683e-05, + "loss": 0.8551, + "step": 7026 + }, + { + "epoch": 0.17, + "grad_norm": 1.5735677747792352, + "learning_rate": 1.9051867039317903e-05, + "loss": 0.894, + "step": 7027 + }, + { + "epoch": 0.17, + "grad_norm": 1.640709293242207, + "learning_rate": 1.9051542709716147e-05, + "loss": 0.9615, + "step": 7028 + }, + { + "epoch": 0.17, + "grad_norm": 1.6231275569726675, + "learning_rate": 1.9051218327413438e-05, + "loss": 0.9408, + "step": 7029 + }, + { + "epoch": 0.17, + "grad_norm": 1.782128252361875, + "learning_rate": 1.9050893892411675e-05, + "loss": 0.9077, + "step": 7030 + }, + { + "epoch": 0.17, + "grad_norm": 5.168567760284402, + "learning_rate": 1.905056940471274e-05, + "loss": 0.9577, + "step": 7031 + }, + { + "epoch": 0.17, + "grad_norm": 0.8242735605806338, + "learning_rate": 1.9050244864318524e-05, + "loss": 0.6788, + "step": 7032 + }, + { + "epoch": 0.17, + "grad_norm": 0.7663861367433779, + "learning_rate": 1.904992027123092e-05, + "loss": 0.7357, + "step": 7033 + }, + { + "epoch": 0.17, + "grad_norm": 1.9741301984822348, + "learning_rate": 1.9049595625451813e-05, + "loss": 1.0526, + "step": 7034 + }, + { + "epoch": 0.17, + "grad_norm": 2.1567255566126393, + "learning_rate": 1.9049270926983095e-05, + "loss": 0.8746, + "step": 7035 + }, + { + "epoch": 0.17, + "grad_norm": 4.30776705933299, + "learning_rate": 1.9048946175826658e-05, + "loss": 0.9577, + "step": 7036 + }, + { + "epoch": 0.17, + "grad_norm": 1.7610919598566903, + "learning_rate": 1.904862137198439e-05, + "loss": 0.7244, + "step": 7037 + }, + { + "epoch": 0.17, + "grad_norm": 1.8811833691775066, + "learning_rate": 1.904829651545818e-05, + "loss": 0.9996, + "step": 7038 + }, + { + "epoch": 0.17, + "grad_norm": 1.9030432176458902, + "learning_rate": 1.904797160624993e-05, + "loss": 0.797, + "step": 7039 + }, + { + "epoch": 0.17, + "grad_norm": 1.644215444958605, + "learning_rate": 1.904764664436152e-05, + "loss": 0.9944, + "step": 7040 + }, + { + "epoch": 0.17, + "grad_norm": 1.9430301223804152, + "learning_rate": 1.904732162979485e-05, + "loss": 0.923, + "step": 7041 + }, + { + "epoch": 0.17, + "grad_norm": 2.11832946913989, + "learning_rate": 1.904699656255181e-05, + "loss": 0.8874, + "step": 7042 + }, + { + "epoch": 0.17, + "grad_norm": 1.6602550634786308, + "learning_rate": 1.9046671442634288e-05, + "loss": 1.0163, + "step": 7043 + }, + { + "epoch": 0.17, + "grad_norm": 1.9653304118688795, + "learning_rate": 1.9046346270044183e-05, + "loss": 0.8073, + "step": 7044 + }, + { + "epoch": 0.17, + "grad_norm": 1.6118854293522757, + "learning_rate": 1.904602104478339e-05, + "loss": 1.0932, + "step": 7045 + }, + { + "epoch": 0.17, + "grad_norm": 21.19912284561857, + "learning_rate": 1.904569576685379e-05, + "loss": 0.895, + "step": 7046 + }, + { + "epoch": 0.17, + "grad_norm": 2.0494745024306544, + "learning_rate": 1.904537043625729e-05, + "loss": 0.8874, + "step": 7047 + }, + { + "epoch": 0.17, + "grad_norm": 1.4470680802170441, + "learning_rate": 1.9045045052995776e-05, + "loss": 0.8572, + "step": 7048 + }, + { + "epoch": 0.17, + "grad_norm": 1.771835005103977, + "learning_rate": 1.904471961707115e-05, + "loss": 0.836, + "step": 7049 + }, + { + "epoch": 0.17, + "grad_norm": 1.5905942916935873, + "learning_rate": 1.9044394128485303e-05, + "loss": 0.8941, + "step": 7050 + }, + { + "epoch": 0.17, + "grad_norm": 1.8551598616310467, + "learning_rate": 1.9044068587240128e-05, + "loss": 0.9662, + "step": 7051 + }, + { + "epoch": 0.17, + "grad_norm": 2.634604966187208, + "learning_rate": 1.9043742993337523e-05, + "loss": 0.9424, + "step": 7052 + }, + { + "epoch": 0.17, + "grad_norm": 1.7316217673793397, + "learning_rate": 1.9043417346779386e-05, + "loss": 0.8012, + "step": 7053 + }, + { + "epoch": 0.17, + "grad_norm": 2.4896596810858793, + "learning_rate": 1.9043091647567608e-05, + "loss": 0.758, + "step": 7054 + }, + { + "epoch": 0.17, + "grad_norm": 2.046909854955356, + "learning_rate": 1.9042765895704085e-05, + "loss": 0.9062, + "step": 7055 + }, + { + "epoch": 0.17, + "grad_norm": 1.6434527159473888, + "learning_rate": 1.904244009119072e-05, + "loss": 1.0131, + "step": 7056 + }, + { + "epoch": 0.17, + "grad_norm": 1.9167558508388454, + "learning_rate": 1.90421142340294e-05, + "loss": 0.945, + "step": 7057 + }, + { + "epoch": 0.17, + "grad_norm": 0.8399038378918983, + "learning_rate": 1.9041788324222035e-05, + "loss": 0.7663, + "step": 7058 + }, + { + "epoch": 0.17, + "grad_norm": 2.055094892529932, + "learning_rate": 1.9041462361770513e-05, + "loss": 0.8352, + "step": 7059 + }, + { + "epoch": 0.17, + "grad_norm": 2.2395091426565124, + "learning_rate": 1.9041136346676733e-05, + "loss": 0.8647, + "step": 7060 + }, + { + "epoch": 0.17, + "grad_norm": 1.6892349142725878, + "learning_rate": 1.9040810278942596e-05, + "loss": 0.9536, + "step": 7061 + }, + { + "epoch": 0.17, + "grad_norm": 1.8779080146704625, + "learning_rate": 1.904048415857e-05, + "loss": 1.0016, + "step": 7062 + }, + { + "epoch": 0.17, + "grad_norm": 2.4467605705339093, + "learning_rate": 1.9040157985560842e-05, + "loss": 0.7648, + "step": 7063 + }, + { + "epoch": 0.17, + "grad_norm": 3.0524014552573444, + "learning_rate": 1.9039831759917023e-05, + "loss": 0.9106, + "step": 7064 + }, + { + "epoch": 0.17, + "grad_norm": 1.621576095722102, + "learning_rate": 1.9039505481640447e-05, + "loss": 0.9497, + "step": 7065 + }, + { + "epoch": 0.17, + "grad_norm": 1.7514100411658653, + "learning_rate": 1.9039179150733e-05, + "loss": 0.8816, + "step": 7066 + }, + { + "epoch": 0.17, + "grad_norm": 0.7525319741571103, + "learning_rate": 1.9038852767196592e-05, + "loss": 0.7349, + "step": 7067 + }, + { + "epoch": 0.17, + "grad_norm": 2.0163397401109937, + "learning_rate": 1.9038526331033122e-05, + "loss": 0.9357, + "step": 7068 + }, + { + "epoch": 0.17, + "grad_norm": 1.7825674388303554, + "learning_rate": 1.903819984224449e-05, + "loss": 0.948, + "step": 7069 + }, + { + "epoch": 0.17, + "grad_norm": 1.6053665525353433, + "learning_rate": 1.90378733008326e-05, + "loss": 0.9001, + "step": 7070 + }, + { + "epoch": 0.17, + "grad_norm": 1.6525893374965193, + "learning_rate": 1.903754670679935e-05, + "loss": 0.816, + "step": 7071 + }, + { + "epoch": 0.17, + "grad_norm": 2.8658566781054082, + "learning_rate": 1.9037220060146637e-05, + "loss": 0.9903, + "step": 7072 + }, + { + "epoch": 0.17, + "grad_norm": 2.438310043612567, + "learning_rate": 1.9036893360876373e-05, + "loss": 1.0126, + "step": 7073 + }, + { + "epoch": 0.17, + "grad_norm": 1.8874517438050336, + "learning_rate": 1.9036566608990452e-05, + "loss": 0.9587, + "step": 7074 + }, + { + "epoch": 0.17, + "grad_norm": 2.995592287068795, + "learning_rate": 1.9036239804490778e-05, + "loss": 0.8915, + "step": 7075 + }, + { + "epoch": 0.17, + "grad_norm": 6.42582622077715, + "learning_rate": 1.9035912947379258e-05, + "loss": 0.8895, + "step": 7076 + }, + { + "epoch": 0.17, + "grad_norm": 1.5752480177921633, + "learning_rate": 1.903558603765779e-05, + "loss": 0.9134, + "step": 7077 + }, + { + "epoch": 0.17, + "grad_norm": 2.414217878292637, + "learning_rate": 1.9035259075328278e-05, + "loss": 0.8747, + "step": 7078 + }, + { + "epoch": 0.17, + "grad_norm": 1.882395609551371, + "learning_rate": 1.9034932060392633e-05, + "loss": 0.9235, + "step": 7079 + }, + { + "epoch": 0.17, + "grad_norm": 1.889673165749745, + "learning_rate": 1.903460499285275e-05, + "loss": 0.8143, + "step": 7080 + }, + { + "epoch": 0.17, + "grad_norm": 1.874820652672424, + "learning_rate": 1.9034277872710533e-05, + "loss": 1.0451, + "step": 7081 + }, + { + "epoch": 0.17, + "grad_norm": 0.7872795590331712, + "learning_rate": 1.9033950699967896e-05, + "loss": 0.7313, + "step": 7082 + }, + { + "epoch": 0.17, + "grad_norm": 1.987247693336479, + "learning_rate": 1.9033623474626736e-05, + "loss": 0.817, + "step": 7083 + }, + { + "epoch": 0.17, + "grad_norm": 1.9980946917442872, + "learning_rate": 1.9033296196688957e-05, + "loss": 0.8586, + "step": 7084 + }, + { + "epoch": 0.17, + "grad_norm": 2.023974572578324, + "learning_rate": 1.903296886615647e-05, + "loss": 0.9206, + "step": 7085 + }, + { + "epoch": 0.17, + "grad_norm": 1.8610248227713821, + "learning_rate": 1.9032641483031177e-05, + "loss": 0.9152, + "step": 7086 + }, + { + "epoch": 0.17, + "grad_norm": 2.2082414035060114, + "learning_rate": 1.9032314047314985e-05, + "loss": 0.8643, + "step": 7087 + }, + { + "epoch": 0.17, + "grad_norm": 1.9117963493148742, + "learning_rate": 1.9031986559009804e-05, + "loss": 0.8942, + "step": 7088 + }, + { + "epoch": 0.17, + "grad_norm": 2.064230515504794, + "learning_rate": 1.9031659018117537e-05, + "loss": 0.9613, + "step": 7089 + }, + { + "epoch": 0.17, + "grad_norm": 2.2637024167616504, + "learning_rate": 1.903133142464009e-05, + "loss": 0.8503, + "step": 7090 + }, + { + "epoch": 0.17, + "grad_norm": 1.9129568320692636, + "learning_rate": 1.9031003778579376e-05, + "loss": 1.0228, + "step": 7091 + }, + { + "epoch": 0.17, + "grad_norm": 1.6865783708966096, + "learning_rate": 1.9030676079937296e-05, + "loss": 1.0822, + "step": 7092 + }, + { + "epoch": 0.17, + "grad_norm": 1.6940614445332989, + "learning_rate": 1.903034832871576e-05, + "loss": 0.9605, + "step": 7093 + }, + { + "epoch": 0.17, + "grad_norm": 2.769678496155524, + "learning_rate": 1.903002052491668e-05, + "loss": 1.0124, + "step": 7094 + }, + { + "epoch": 0.17, + "grad_norm": 1.9527856437790518, + "learning_rate": 1.902969266854196e-05, + "loss": 0.97, + "step": 7095 + }, + { + "epoch": 0.17, + "grad_norm": 1.9675472012034292, + "learning_rate": 1.902936475959351e-05, + "loss": 0.8493, + "step": 7096 + }, + { + "epoch": 0.17, + "grad_norm": 1.8004750861622296, + "learning_rate": 1.902903679807324e-05, + "loss": 0.9173, + "step": 7097 + }, + { + "epoch": 0.17, + "grad_norm": 1.7633473114919707, + "learning_rate": 1.902870878398306e-05, + "loss": 0.9109, + "step": 7098 + }, + { + "epoch": 0.17, + "grad_norm": 3.469310955505181, + "learning_rate": 1.9028380717324875e-05, + "loss": 0.9421, + "step": 7099 + }, + { + "epoch": 0.17, + "grad_norm": 1.821533061499054, + "learning_rate": 1.9028052598100607e-05, + "loss": 0.9527, + "step": 7100 + }, + { + "epoch": 0.17, + "grad_norm": 1.7739191968358843, + "learning_rate": 1.902772442631215e-05, + "loss": 0.9188, + "step": 7101 + }, + { + "epoch": 0.17, + "grad_norm": 1.654418367833856, + "learning_rate": 1.902739620196143e-05, + "loss": 0.9103, + "step": 7102 + }, + { + "epoch": 0.17, + "grad_norm": 2.45949409354631, + "learning_rate": 1.902706792505035e-05, + "loss": 0.9013, + "step": 7103 + }, + { + "epoch": 0.17, + "grad_norm": 2.283866474133186, + "learning_rate": 1.902673959558082e-05, + "loss": 0.9939, + "step": 7104 + }, + { + "epoch": 0.17, + "grad_norm": 1.7125625661504458, + "learning_rate": 1.9026411213554758e-05, + "loss": 0.8666, + "step": 7105 + }, + { + "epoch": 0.17, + "grad_norm": 1.9793335494240392, + "learning_rate": 1.9026082778974065e-05, + "loss": 0.858, + "step": 7106 + }, + { + "epoch": 0.17, + "grad_norm": 1.7317390027077237, + "learning_rate": 1.902575429184067e-05, + "loss": 0.991, + "step": 7107 + }, + { + "epoch": 0.17, + "grad_norm": 1.6969114687450069, + "learning_rate": 1.902542575215647e-05, + "loss": 0.7861, + "step": 7108 + }, + { + "epoch": 0.17, + "grad_norm": 1.732715972180481, + "learning_rate": 1.902509715992338e-05, + "loss": 0.8554, + "step": 7109 + }, + { + "epoch": 0.17, + "grad_norm": 1.6669323395562847, + "learning_rate": 1.9024768515143325e-05, + "loss": 1.0073, + "step": 7110 + }, + { + "epoch": 0.17, + "grad_norm": 3.7084947769933048, + "learning_rate": 1.902443981781821e-05, + "loss": 0.9374, + "step": 7111 + }, + { + "epoch": 0.17, + "grad_norm": 2.020290404456947, + "learning_rate": 1.9024111067949945e-05, + "loss": 0.6675, + "step": 7112 + }, + { + "epoch": 0.17, + "grad_norm": 2.28701842530952, + "learning_rate": 1.902378226554045e-05, + "loss": 0.8748, + "step": 7113 + }, + { + "epoch": 0.17, + "grad_norm": 1.7384809772231349, + "learning_rate": 1.902345341059164e-05, + "loss": 0.9876, + "step": 7114 + }, + { + "epoch": 0.17, + "grad_norm": 1.6447812280300764, + "learning_rate": 1.9023124503105424e-05, + "loss": 0.8642, + "step": 7115 + }, + { + "epoch": 0.17, + "grad_norm": 1.7639593881666722, + "learning_rate": 1.9022795543083722e-05, + "loss": 1.023, + "step": 7116 + }, + { + "epoch": 0.17, + "grad_norm": 1.7371547876811735, + "learning_rate": 1.9022466530528448e-05, + "loss": 0.9041, + "step": 7117 + }, + { + "epoch": 0.17, + "grad_norm": 2.1605761403369943, + "learning_rate": 1.9022137465441518e-05, + "loss": 0.8318, + "step": 7118 + }, + { + "epoch": 0.17, + "grad_norm": 1.7668564413505246, + "learning_rate": 1.9021808347824847e-05, + "loss": 0.9446, + "step": 7119 + }, + { + "epoch": 0.17, + "grad_norm": 2.013585866291238, + "learning_rate": 1.902147917768035e-05, + "loss": 0.7957, + "step": 7120 + }, + { + "epoch": 0.17, + "grad_norm": 2.1686469184354173, + "learning_rate": 1.9021149955009943e-05, + "loss": 0.881, + "step": 7121 + }, + { + "epoch": 0.17, + "grad_norm": 2.4657326559972725, + "learning_rate": 1.902082067981555e-05, + "loss": 0.9029, + "step": 7122 + }, + { + "epoch": 0.17, + "grad_norm": 1.9336426998604956, + "learning_rate": 1.902049135209908e-05, + "loss": 0.9521, + "step": 7123 + }, + { + "epoch": 0.17, + "grad_norm": 1.7364704376274425, + "learning_rate": 1.9020161971862454e-05, + "loss": 0.8771, + "step": 7124 + }, + { + "epoch": 0.17, + "grad_norm": 1.7041297880372401, + "learning_rate": 1.9019832539107592e-05, + "loss": 0.91, + "step": 7125 + }, + { + "epoch": 0.17, + "grad_norm": 1.7822716509164838, + "learning_rate": 1.9019503053836406e-05, + "loss": 0.9098, + "step": 7126 + }, + { + "epoch": 0.17, + "grad_norm": 2.27394565885779, + "learning_rate": 1.901917351605082e-05, + "loss": 0.9459, + "step": 7127 + }, + { + "epoch": 0.17, + "grad_norm": 1.9022126720552774, + "learning_rate": 1.901884392575275e-05, + "loss": 0.8884, + "step": 7128 + }, + { + "epoch": 0.17, + "grad_norm": 1.5017536689373634, + "learning_rate": 1.9018514282944115e-05, + "loss": 0.8037, + "step": 7129 + }, + { + "epoch": 0.17, + "grad_norm": 2.3351905503995134, + "learning_rate": 1.901818458762683e-05, + "loss": 0.9479, + "step": 7130 + }, + { + "epoch": 0.17, + "grad_norm": 1.6081388688892955, + "learning_rate": 1.9017854839802824e-05, + "loss": 0.8645, + "step": 7131 + }, + { + "epoch": 0.17, + "grad_norm": 2.010000144993853, + "learning_rate": 1.9017525039474013e-05, + "loss": 0.7824, + "step": 7132 + }, + { + "epoch": 0.17, + "grad_norm": 0.9406862470335247, + "learning_rate": 1.9017195186642315e-05, + "loss": 0.7351, + "step": 7133 + }, + { + "epoch": 0.17, + "grad_norm": 2.014915002779902, + "learning_rate": 1.9016865281309652e-05, + "loss": 0.8555, + "step": 7134 + }, + { + "epoch": 0.17, + "grad_norm": 2.299559502733518, + "learning_rate": 1.9016535323477945e-05, + "loss": 0.8475, + "step": 7135 + }, + { + "epoch": 0.17, + "grad_norm": 1.9276876633851174, + "learning_rate": 1.9016205313149114e-05, + "loss": 0.8916, + "step": 7136 + }, + { + "epoch": 0.17, + "grad_norm": 1.732395822668889, + "learning_rate": 1.901587525032508e-05, + "loss": 0.946, + "step": 7137 + }, + { + "epoch": 0.17, + "grad_norm": 1.9404844526566891, + "learning_rate": 1.9015545135007766e-05, + "loss": 0.8961, + "step": 7138 + }, + { + "epoch": 0.17, + "grad_norm": 1.5877578556200067, + "learning_rate": 1.9015214967199095e-05, + "loss": 0.9778, + "step": 7139 + }, + { + "epoch": 0.17, + "grad_norm": 2.197843154136712, + "learning_rate": 1.901488474690099e-05, + "loss": 0.8808, + "step": 7140 + }, + { + "epoch": 0.17, + "grad_norm": 0.7549251589665846, + "learning_rate": 1.901455447411537e-05, + "loss": 0.7228, + "step": 7141 + }, + { + "epoch": 0.17, + "grad_norm": 1.6372735171658384, + "learning_rate": 1.901422414884416e-05, + "loss": 0.9785, + "step": 7142 + }, + { + "epoch": 0.17, + "grad_norm": 1.7656820812884568, + "learning_rate": 1.9013893771089283e-05, + "loss": 0.9234, + "step": 7143 + }, + { + "epoch": 0.17, + "grad_norm": 1.931642872301724, + "learning_rate": 1.9013563340852664e-05, + "loss": 0.9357, + "step": 7144 + }, + { + "epoch": 0.17, + "grad_norm": 2.174798732487337, + "learning_rate": 1.9013232858136225e-05, + "loss": 0.9684, + "step": 7145 + }, + { + "epoch": 0.17, + "grad_norm": 1.7951383699461878, + "learning_rate": 1.901290232294189e-05, + "loss": 0.9469, + "step": 7146 + }, + { + "epoch": 0.17, + "grad_norm": 1.72051821853079, + "learning_rate": 1.9012571735271584e-05, + "loss": 0.7493, + "step": 7147 + }, + { + "epoch": 0.17, + "grad_norm": 1.6978426808903355, + "learning_rate": 1.9012241095127234e-05, + "loss": 0.9823, + "step": 7148 + }, + { + "epoch": 0.17, + "grad_norm": 2.1495080117603385, + "learning_rate": 1.9011910402510762e-05, + "loss": 1.0281, + "step": 7149 + }, + { + "epoch": 0.17, + "grad_norm": 1.858303152068104, + "learning_rate": 1.9011579657424092e-05, + "loss": 1.0002, + "step": 7150 + }, + { + "epoch": 0.17, + "grad_norm": 0.8431122816688821, + "learning_rate": 1.9011248859869155e-05, + "loss": 0.7222, + "step": 7151 + }, + { + "epoch": 0.17, + "grad_norm": 1.7723004897391221, + "learning_rate": 1.9010918009847877e-05, + "loss": 1.0177, + "step": 7152 + }, + { + "epoch": 0.17, + "grad_norm": 1.8196526596037734, + "learning_rate": 1.9010587107362177e-05, + "loss": 0.8399, + "step": 7153 + }, + { + "epoch": 0.17, + "grad_norm": 1.5579053633320001, + "learning_rate": 1.9010256152413987e-05, + "loss": 0.9368, + "step": 7154 + }, + { + "epoch": 0.17, + "grad_norm": 2.052473017600051, + "learning_rate": 1.900992514500523e-05, + "loss": 0.7785, + "step": 7155 + }, + { + "epoch": 0.17, + "grad_norm": 0.7172914662604579, + "learning_rate": 1.900959408513784e-05, + "loss": 0.7045, + "step": 7156 + }, + { + "epoch": 0.17, + "grad_norm": 1.6498383235032956, + "learning_rate": 1.9009262972813746e-05, + "loss": 0.9747, + "step": 7157 + }, + { + "epoch": 0.17, + "grad_norm": 2.04995104713102, + "learning_rate": 1.9008931808034864e-05, + "loss": 0.9087, + "step": 7158 + }, + { + "epoch": 0.17, + "grad_norm": 1.6555309977913641, + "learning_rate": 1.900860059080313e-05, + "loss": 0.9577, + "step": 7159 + }, + { + "epoch": 0.17, + "grad_norm": 1.553605185146003, + "learning_rate": 1.900826932112047e-05, + "loss": 0.7677, + "step": 7160 + }, + { + "epoch": 0.17, + "grad_norm": 1.714478082188255, + "learning_rate": 1.9007937998988818e-05, + "loss": 0.9461, + "step": 7161 + }, + { + "epoch": 0.17, + "grad_norm": 2.1231425622335944, + "learning_rate": 1.9007606624410094e-05, + "loss": 0.9045, + "step": 7162 + }, + { + "epoch": 0.17, + "grad_norm": 1.8365363407344772, + "learning_rate": 1.9007275197386238e-05, + "loss": 0.9134, + "step": 7163 + }, + { + "epoch": 0.17, + "grad_norm": 1.4803028725203646, + "learning_rate": 1.900694371791917e-05, + "loss": 1.1388, + "step": 7164 + }, + { + "epoch": 0.17, + "grad_norm": 1.6358447892478238, + "learning_rate": 1.9006612186010825e-05, + "loss": 1.057, + "step": 7165 + }, + { + "epoch": 0.17, + "grad_norm": 1.7063959077098994, + "learning_rate": 1.9006280601663132e-05, + "loss": 0.8472, + "step": 7166 + }, + { + "epoch": 0.17, + "grad_norm": 1.756113416713315, + "learning_rate": 1.9005948964878024e-05, + "loss": 0.9767, + "step": 7167 + }, + { + "epoch": 0.17, + "grad_norm": 1.7486110267727526, + "learning_rate": 1.900561727565743e-05, + "loss": 0.8843, + "step": 7168 + }, + { + "epoch": 0.17, + "grad_norm": 1.5455697723343365, + "learning_rate": 1.900528553400328e-05, + "loss": 0.9092, + "step": 7169 + }, + { + "epoch": 0.17, + "grad_norm": 2.4793543820278376, + "learning_rate": 1.9004953739917503e-05, + "loss": 0.8283, + "step": 7170 + }, + { + "epoch": 0.17, + "grad_norm": 0.8143452628598388, + "learning_rate": 1.900462189340204e-05, + "loss": 0.7253, + "step": 7171 + }, + { + "epoch": 0.17, + "grad_norm": 1.9160990173135939, + "learning_rate": 1.9004289994458815e-05, + "loss": 0.965, + "step": 7172 + }, + { + "epoch": 0.17, + "grad_norm": 2.1141287351833893, + "learning_rate": 1.9003958043089763e-05, + "loss": 0.9705, + "step": 7173 + }, + { + "epoch": 0.17, + "grad_norm": 1.7126029833416698, + "learning_rate": 1.900362603929682e-05, + "loss": 0.8125, + "step": 7174 + }, + { + "epoch": 0.17, + "grad_norm": 2.070069036614125, + "learning_rate": 1.900329398308191e-05, + "loss": 0.9256, + "step": 7175 + }, + { + "epoch": 0.17, + "grad_norm": 2.094362345164431, + "learning_rate": 1.9002961874446973e-05, + "loss": 0.996, + "step": 7176 + }, + { + "epoch": 0.17, + "grad_norm": 1.731416521906107, + "learning_rate": 1.9002629713393946e-05, + "loss": 0.8649, + "step": 7177 + }, + { + "epoch": 0.17, + "grad_norm": 2.3822417296855622, + "learning_rate": 1.9002297499924752e-05, + "loss": 0.9445, + "step": 7178 + }, + { + "epoch": 0.17, + "grad_norm": 1.6141766209991295, + "learning_rate": 1.900196523404134e-05, + "loss": 0.9042, + "step": 7179 + }, + { + "epoch": 0.17, + "grad_norm": 1.7285671122070307, + "learning_rate": 1.900163291574563e-05, + "loss": 0.9005, + "step": 7180 + }, + { + "epoch": 0.17, + "grad_norm": 1.6412261527999938, + "learning_rate": 1.9001300545039566e-05, + "loss": 0.9159, + "step": 7181 + }, + { + "epoch": 0.17, + "grad_norm": 1.5564111404476868, + "learning_rate": 1.900096812192508e-05, + "loss": 0.9303, + "step": 7182 + }, + { + "epoch": 0.17, + "grad_norm": 1.658288020604283, + "learning_rate": 1.9000635646404108e-05, + "loss": 0.9539, + "step": 7183 + }, + { + "epoch": 0.17, + "grad_norm": 1.7166468870571159, + "learning_rate": 1.9000303118478584e-05, + "loss": 0.8712, + "step": 7184 + }, + { + "epoch": 0.17, + "grad_norm": 1.6567314904172432, + "learning_rate": 1.899997053815045e-05, + "loss": 0.8836, + "step": 7185 + }, + { + "epoch": 0.17, + "grad_norm": 1.5414252880409973, + "learning_rate": 1.8999637905421633e-05, + "loss": 0.9359, + "step": 7186 + }, + { + "epoch": 0.17, + "grad_norm": 1.7344080624752924, + "learning_rate": 1.899930522029408e-05, + "loss": 0.9694, + "step": 7187 + }, + { + "epoch": 0.17, + "grad_norm": 0.8011891743842493, + "learning_rate": 1.899897248276972e-05, + "loss": 0.7283, + "step": 7188 + }, + { + "epoch": 0.17, + "grad_norm": 2.075191919253885, + "learning_rate": 1.8998639692850492e-05, + "loss": 1.0114, + "step": 7189 + }, + { + "epoch": 0.17, + "grad_norm": 1.8560788310463785, + "learning_rate": 1.899830685053834e-05, + "loss": 0.965, + "step": 7190 + }, + { + "epoch": 0.17, + "grad_norm": 1.882895377167001, + "learning_rate": 1.8997973955835193e-05, + "loss": 1.0409, + "step": 7191 + }, + { + "epoch": 0.17, + "grad_norm": 1.6029719062415198, + "learning_rate": 1.899764100874299e-05, + "loss": 0.9345, + "step": 7192 + }, + { + "epoch": 0.17, + "grad_norm": 2.665576798167966, + "learning_rate": 1.8997308009263675e-05, + "loss": 0.9398, + "step": 7193 + }, + { + "epoch": 0.17, + "grad_norm": 1.6352452349525421, + "learning_rate": 1.8996974957399186e-05, + "loss": 0.8627, + "step": 7194 + }, + { + "epoch": 0.17, + "grad_norm": 1.7776250890189658, + "learning_rate": 1.8996641853151462e-05, + "loss": 0.9273, + "step": 7195 + }, + { + "epoch": 0.17, + "grad_norm": 1.8613661933718129, + "learning_rate": 1.8996308696522435e-05, + "loss": 0.9692, + "step": 7196 + }, + { + "epoch": 0.17, + "grad_norm": 1.7647288216366053, + "learning_rate": 1.8995975487514052e-05, + "loss": 1.0812, + "step": 7197 + }, + { + "epoch": 0.17, + "grad_norm": 1.8029946884354537, + "learning_rate": 1.8995642226128256e-05, + "loss": 0.8167, + "step": 7198 + }, + { + "epoch": 0.17, + "grad_norm": 1.5492447715327249, + "learning_rate": 1.899530891236698e-05, + "loss": 0.9391, + "step": 7199 + }, + { + "epoch": 0.17, + "grad_norm": 2.54083033688551, + "learning_rate": 1.8994975546232166e-05, + "loss": 0.7976, + "step": 7200 + }, + { + "epoch": 0.17, + "grad_norm": 1.61890442932836, + "learning_rate": 1.899464212772576e-05, + "loss": 0.8125, + "step": 7201 + }, + { + "epoch": 0.17, + "grad_norm": 0.8258408806080278, + "learning_rate": 1.8994308656849697e-05, + "loss": 0.7582, + "step": 7202 + }, + { + "epoch": 0.17, + "grad_norm": 2.0065372526694785, + "learning_rate": 1.8993975133605925e-05, + "loss": 0.7984, + "step": 7203 + }, + { + "epoch": 0.17, + "grad_norm": 1.8345852161446259, + "learning_rate": 1.8993641557996377e-05, + "loss": 1.0624, + "step": 7204 + }, + { + "epoch": 0.17, + "grad_norm": 1.9156457327229592, + "learning_rate": 1.8993307930023005e-05, + "loss": 0.9757, + "step": 7205 + }, + { + "epoch": 0.17, + "grad_norm": 1.9581279636170563, + "learning_rate": 1.8992974249687747e-05, + "loss": 1.0083, + "step": 7206 + }, + { + "epoch": 0.17, + "grad_norm": 1.7085562577792366, + "learning_rate": 1.8992640516992544e-05, + "loss": 0.8854, + "step": 7207 + }, + { + "epoch": 0.17, + "grad_norm": 1.6673873624388227, + "learning_rate": 1.899230673193934e-05, + "loss": 0.9658, + "step": 7208 + }, + { + "epoch": 0.17, + "grad_norm": 1.681113887390508, + "learning_rate": 1.899197289453008e-05, + "loss": 0.8162, + "step": 7209 + }, + { + "epoch": 0.17, + "grad_norm": 0.8181211356938011, + "learning_rate": 1.8991639004766708e-05, + "loss": 0.7613, + "step": 7210 + }, + { + "epoch": 0.17, + "grad_norm": 1.6983856640262323, + "learning_rate": 1.8991305062651167e-05, + "loss": 0.826, + "step": 7211 + }, + { + "epoch": 0.17, + "grad_norm": 0.7358272521709467, + "learning_rate": 1.8990971068185402e-05, + "loss": 0.7398, + "step": 7212 + }, + { + "epoch": 0.17, + "grad_norm": 1.8028340625135464, + "learning_rate": 1.8990637021371355e-05, + "loss": 0.9121, + "step": 7213 + }, + { + "epoch": 0.17, + "grad_norm": 1.8322771818290764, + "learning_rate": 1.8990302922210976e-05, + "loss": 0.9862, + "step": 7214 + }, + { + "epoch": 0.17, + "grad_norm": 1.4507534966379745, + "learning_rate": 1.89899687707062e-05, + "loss": 0.8307, + "step": 7215 + }, + { + "epoch": 0.17, + "grad_norm": 1.9848109586647587, + "learning_rate": 1.8989634566858987e-05, + "loss": 0.9205, + "step": 7216 + }, + { + "epoch": 0.17, + "grad_norm": 2.291812606374404, + "learning_rate": 1.8989300310671273e-05, + "loss": 1.0045, + "step": 7217 + }, + { + "epoch": 0.17, + "grad_norm": 1.9955385231085714, + "learning_rate": 1.8988966002145007e-05, + "loss": 0.9244, + "step": 7218 + }, + { + "epoch": 0.17, + "grad_norm": 1.6163263996916284, + "learning_rate": 1.8988631641282134e-05, + "loss": 0.9852, + "step": 7219 + }, + { + "epoch": 0.17, + "grad_norm": 1.9225289890397455, + "learning_rate": 1.89882972280846e-05, + "loss": 0.8232, + "step": 7220 + }, + { + "epoch": 0.17, + "grad_norm": 1.7875246194658074, + "learning_rate": 1.8987962762554358e-05, + "loss": 1.1074, + "step": 7221 + }, + { + "epoch": 0.17, + "grad_norm": 1.8280919203009462, + "learning_rate": 1.898762824469335e-05, + "loss": 0.9943, + "step": 7222 + }, + { + "epoch": 0.17, + "grad_norm": 1.6517326553240999, + "learning_rate": 1.8987293674503525e-05, + "loss": 0.9858, + "step": 7223 + }, + { + "epoch": 0.17, + "grad_norm": 0.7917370292206939, + "learning_rate": 1.898695905198683e-05, + "loss": 0.7364, + "step": 7224 + }, + { + "epoch": 0.17, + "grad_norm": 1.5010799907563797, + "learning_rate": 1.8986624377145216e-05, + "loss": 0.777, + "step": 7225 + }, + { + "epoch": 0.17, + "grad_norm": 1.8612986659686361, + "learning_rate": 1.8986289649980627e-05, + "loss": 0.913, + "step": 7226 + }, + { + "epoch": 0.17, + "grad_norm": 1.8405774265211157, + "learning_rate": 1.8985954870495016e-05, + "loss": 0.8858, + "step": 7227 + }, + { + "epoch": 0.17, + "grad_norm": 2.2576133953883644, + "learning_rate": 1.8985620038690332e-05, + "loss": 0.8932, + "step": 7228 + }, + { + "epoch": 0.17, + "grad_norm": 1.6357199898679733, + "learning_rate": 1.8985285154568522e-05, + "loss": 0.8895, + "step": 7229 + }, + { + "epoch": 0.17, + "grad_norm": 1.849020093431488, + "learning_rate": 1.8984950218131538e-05, + "loss": 0.9259, + "step": 7230 + }, + { + "epoch": 0.17, + "grad_norm": 2.3216458562668687, + "learning_rate": 1.8984615229381325e-05, + "loss": 0.8759, + "step": 7231 + }, + { + "epoch": 0.17, + "grad_norm": 1.4673898029617856, + "learning_rate": 1.8984280188319845e-05, + "loss": 0.8422, + "step": 7232 + }, + { + "epoch": 0.17, + "grad_norm": 2.336256152131911, + "learning_rate": 1.8983945094949035e-05, + "loss": 0.9326, + "step": 7233 + }, + { + "epoch": 0.17, + "grad_norm": 1.8021034982312543, + "learning_rate": 1.8983609949270854e-05, + "loss": 0.9636, + "step": 7234 + }, + { + "epoch": 0.17, + "grad_norm": 1.5974985729961904, + "learning_rate": 1.8983274751287254e-05, + "loss": 0.9271, + "step": 7235 + }, + { + "epoch": 0.17, + "grad_norm": 1.78832711588969, + "learning_rate": 1.8982939501000182e-05, + "loss": 0.823, + "step": 7236 + }, + { + "epoch": 0.17, + "grad_norm": 1.6896971412311954, + "learning_rate": 1.8982604198411594e-05, + "loss": 0.9397, + "step": 7237 + }, + { + "epoch": 0.17, + "grad_norm": 1.768421844146923, + "learning_rate": 1.898226884352344e-05, + "loss": 0.916, + "step": 7238 + }, + { + "epoch": 0.17, + "grad_norm": 1.8060070045367107, + "learning_rate": 1.8981933436337675e-05, + "loss": 0.7441, + "step": 7239 + }, + { + "epoch": 0.17, + "grad_norm": 1.9663988561116137, + "learning_rate": 1.8981597976856247e-05, + "loss": 0.8777, + "step": 7240 + }, + { + "epoch": 0.17, + "grad_norm": 0.7444188587010743, + "learning_rate": 1.8981262465081112e-05, + "loss": 0.7635, + "step": 7241 + }, + { + "epoch": 0.17, + "grad_norm": 1.6071910043079074, + "learning_rate": 1.8980926901014226e-05, + "loss": 0.8634, + "step": 7242 + }, + { + "epoch": 0.17, + "grad_norm": 1.5926247918189473, + "learning_rate": 1.8980591284657536e-05, + "loss": 0.9757, + "step": 7243 + }, + { + "epoch": 0.17, + "grad_norm": 2.205908333031114, + "learning_rate": 1.8980255616013004e-05, + "loss": 0.9923, + "step": 7244 + }, + { + "epoch": 0.17, + "grad_norm": 2.0170605798935726, + "learning_rate": 1.8979919895082578e-05, + "loss": 0.8979, + "step": 7245 + }, + { + "epoch": 0.17, + "grad_norm": 1.7039720364965065, + "learning_rate": 1.8979584121868217e-05, + "loss": 0.8964, + "step": 7246 + }, + { + "epoch": 0.17, + "grad_norm": 1.5126419891064178, + "learning_rate": 1.8979248296371876e-05, + "loss": 0.9228, + "step": 7247 + }, + { + "epoch": 0.17, + "grad_norm": 2.66333890224229, + "learning_rate": 1.897891241859551e-05, + "loss": 0.8194, + "step": 7248 + }, + { + "epoch": 0.17, + "grad_norm": 1.7623757663652864, + "learning_rate": 1.8978576488541068e-05, + "loss": 0.9349, + "step": 7249 + }, + { + "epoch": 0.17, + "grad_norm": 2.3286242269067565, + "learning_rate": 1.897824050621051e-05, + "loss": 0.9513, + "step": 7250 + }, + { + "epoch": 0.17, + "grad_norm": 1.9238730741528893, + "learning_rate": 1.8977904471605798e-05, + "loss": 0.888, + "step": 7251 + }, + { + "epoch": 0.17, + "grad_norm": 1.7751262844910634, + "learning_rate": 1.8977568384728885e-05, + "loss": 0.9933, + "step": 7252 + }, + { + "epoch": 0.17, + "grad_norm": 1.5691045010059688, + "learning_rate": 1.8977232245581722e-05, + "loss": 0.8734, + "step": 7253 + }, + { + "epoch": 0.17, + "grad_norm": 1.7310349605259527, + "learning_rate": 1.8976896054166273e-05, + "loss": 0.9943, + "step": 7254 + }, + { + "epoch": 0.17, + "grad_norm": 1.6767883862797337, + "learning_rate": 1.8976559810484494e-05, + "loss": 1.0156, + "step": 7255 + }, + { + "epoch": 0.17, + "grad_norm": 2.1538885055971346, + "learning_rate": 1.8976223514538342e-05, + "loss": 0.7617, + "step": 7256 + }, + { + "epoch": 0.17, + "grad_norm": 1.9146814370745666, + "learning_rate": 1.8975887166329773e-05, + "loss": 0.8511, + "step": 7257 + }, + { + "epoch": 0.17, + "grad_norm": 1.9729891634803494, + "learning_rate": 1.8975550765860745e-05, + "loss": 0.8217, + "step": 7258 + }, + { + "epoch": 0.17, + "grad_norm": 1.770226810321702, + "learning_rate": 1.8975214313133223e-05, + "loss": 1.0247, + "step": 7259 + }, + { + "epoch": 0.17, + "grad_norm": 1.650806385831335, + "learning_rate": 1.8974877808149162e-05, + "loss": 0.8744, + "step": 7260 + }, + { + "epoch": 0.17, + "grad_norm": 11.92507721282735, + "learning_rate": 1.897454125091052e-05, + "loss": 0.9909, + "step": 7261 + }, + { + "epoch": 0.17, + "grad_norm": 1.722748711183635, + "learning_rate": 1.8974204641419256e-05, + "loss": 1.0574, + "step": 7262 + }, + { + "epoch": 0.17, + "grad_norm": 1.5781142810862347, + "learning_rate": 1.8973867979677332e-05, + "loss": 0.8171, + "step": 7263 + }, + { + "epoch": 0.17, + "grad_norm": 1.6027864090254798, + "learning_rate": 1.8973531265686706e-05, + "loss": 0.8112, + "step": 7264 + }, + { + "epoch": 0.17, + "grad_norm": 1.6001063649068903, + "learning_rate": 1.8973194499449342e-05, + "loss": 0.8138, + "step": 7265 + }, + { + "epoch": 0.17, + "grad_norm": 0.8077820538045893, + "learning_rate": 1.89728576809672e-05, + "loss": 0.7799, + "step": 7266 + }, + { + "epoch": 0.17, + "grad_norm": 1.8243930511170279, + "learning_rate": 1.897252081024224e-05, + "loss": 0.9075, + "step": 7267 + }, + { + "epoch": 0.17, + "grad_norm": 1.7046452488243353, + "learning_rate": 1.8972183887276422e-05, + "loss": 0.8545, + "step": 7268 + }, + { + "epoch": 0.17, + "grad_norm": 1.9071550707906284, + "learning_rate": 1.8971846912071707e-05, + "loss": 1.0595, + "step": 7269 + }, + { + "epoch": 0.17, + "grad_norm": 1.8075529548189089, + "learning_rate": 1.897150988463006e-05, + "loss": 0.8648, + "step": 7270 + }, + { + "epoch": 0.17, + "grad_norm": 0.8079827774647437, + "learning_rate": 1.8971172804953444e-05, + "loss": 0.785, + "step": 7271 + }, + { + "epoch": 0.17, + "grad_norm": 2.166167375407458, + "learning_rate": 1.897083567304382e-05, + "loss": 0.9277, + "step": 7272 + }, + { + "epoch": 0.17, + "grad_norm": 1.7595038596721237, + "learning_rate": 1.8970498488903147e-05, + "loss": 0.8691, + "step": 7273 + }, + { + "epoch": 0.17, + "grad_norm": 2.078202531984317, + "learning_rate": 1.8970161252533393e-05, + "loss": 0.9609, + "step": 7274 + }, + { + "epoch": 0.17, + "grad_norm": 1.535451065470087, + "learning_rate": 1.8969823963936524e-05, + "loss": 0.8786, + "step": 7275 + }, + { + "epoch": 0.17, + "grad_norm": 1.7344268372439449, + "learning_rate": 1.8969486623114496e-05, + "loss": 0.8293, + "step": 7276 + }, + { + "epoch": 0.17, + "grad_norm": 1.6947152606701676, + "learning_rate": 1.8969149230069278e-05, + "loss": 0.8113, + "step": 7277 + }, + { + "epoch": 0.17, + "grad_norm": 1.6708730394577915, + "learning_rate": 1.8968811784802833e-05, + "loss": 0.9524, + "step": 7278 + }, + { + "epoch": 0.17, + "grad_norm": 2.816915269994544, + "learning_rate": 1.896847428731713e-05, + "loss": 0.8515, + "step": 7279 + }, + { + "epoch": 0.17, + "grad_norm": 1.8355081324212592, + "learning_rate": 1.8968136737614123e-05, + "loss": 0.8027, + "step": 7280 + }, + { + "epoch": 0.17, + "grad_norm": 1.5548984534640182, + "learning_rate": 1.8967799135695788e-05, + "loss": 0.8552, + "step": 7281 + }, + { + "epoch": 0.17, + "grad_norm": 3.48061929702214, + "learning_rate": 1.896746148156409e-05, + "loss": 1.0, + "step": 7282 + }, + { + "epoch": 0.17, + "grad_norm": 1.9053869449324825, + "learning_rate": 1.896712377522099e-05, + "loss": 1.0486, + "step": 7283 + }, + { + "epoch": 0.17, + "grad_norm": 2.4646956995889493, + "learning_rate": 1.8966786016668458e-05, + "loss": 1.0143, + "step": 7284 + }, + { + "epoch": 0.17, + "grad_norm": 1.885781764599685, + "learning_rate": 1.8966448205908458e-05, + "loss": 0.8756, + "step": 7285 + }, + { + "epoch": 0.17, + "grad_norm": 1.8243071304750866, + "learning_rate": 1.8966110342942954e-05, + "loss": 0.9252, + "step": 7286 + }, + { + "epoch": 0.17, + "grad_norm": 1.754176551700751, + "learning_rate": 1.8965772427773923e-05, + "loss": 0.8264, + "step": 7287 + }, + { + "epoch": 0.17, + "grad_norm": 1.8385444470168621, + "learning_rate": 1.8965434460403325e-05, + "loss": 0.9383, + "step": 7288 + }, + { + "epoch": 0.17, + "grad_norm": 2.1497285810660554, + "learning_rate": 1.896509644083313e-05, + "loss": 1.0047, + "step": 7289 + }, + { + "epoch": 0.17, + "grad_norm": 1.7041856081343498, + "learning_rate": 1.8964758369065303e-05, + "loss": 1.0598, + "step": 7290 + }, + { + "epoch": 0.17, + "grad_norm": 1.6754449877989255, + "learning_rate": 1.8964420245101816e-05, + "loss": 0.8436, + "step": 7291 + }, + { + "epoch": 0.17, + "grad_norm": 1.895660876728755, + "learning_rate": 1.8964082068944634e-05, + "loss": 1.0134, + "step": 7292 + }, + { + "epoch": 0.17, + "grad_norm": 1.8261414097760267, + "learning_rate": 1.896374384059573e-05, + "loss": 0.9272, + "step": 7293 + }, + { + "epoch": 0.17, + "grad_norm": 0.8087071668773701, + "learning_rate": 1.896340556005707e-05, + "loss": 0.775, + "step": 7294 + }, + { + "epoch": 0.17, + "grad_norm": 1.6051848267024023, + "learning_rate": 1.8963067227330624e-05, + "loss": 0.9783, + "step": 7295 + }, + { + "epoch": 0.17, + "grad_norm": 2.0356027290783265, + "learning_rate": 1.8962728842418366e-05, + "loss": 0.874, + "step": 7296 + }, + { + "epoch": 0.17, + "grad_norm": 1.8788340802611398, + "learning_rate": 1.8962390405322263e-05, + "loss": 0.8825, + "step": 7297 + }, + { + "epoch": 0.17, + "grad_norm": 1.8555680518180426, + "learning_rate": 1.8962051916044288e-05, + "loss": 1.0032, + "step": 7298 + }, + { + "epoch": 0.17, + "grad_norm": 1.8828380232593145, + "learning_rate": 1.8961713374586403e-05, + "loss": 0.9621, + "step": 7299 + }, + { + "epoch": 0.17, + "grad_norm": 2.099606637093511, + "learning_rate": 1.8961374780950588e-05, + "loss": 0.8645, + "step": 7300 + }, + { + "epoch": 0.17, + "grad_norm": 1.4829815541442397, + "learning_rate": 1.8961036135138813e-05, + "loss": 0.8691, + "step": 7301 + }, + { + "epoch": 0.17, + "grad_norm": 1.8761172763112328, + "learning_rate": 1.8960697437153048e-05, + "loss": 0.9524, + "step": 7302 + }, + { + "epoch": 0.17, + "grad_norm": 2.017183653046305, + "learning_rate": 1.8960358686995265e-05, + "loss": 0.9355, + "step": 7303 + }, + { + "epoch": 0.17, + "grad_norm": 1.7277155920270026, + "learning_rate": 1.896001988466744e-05, + "loss": 1.0054, + "step": 7304 + }, + { + "epoch": 0.17, + "grad_norm": 1.718920178177351, + "learning_rate": 1.895968103017154e-05, + "loss": 0.8806, + "step": 7305 + }, + { + "epoch": 0.17, + "grad_norm": 2.4877755028431636, + "learning_rate": 1.8959342123509538e-05, + "loss": 0.877, + "step": 7306 + }, + { + "epoch": 0.17, + "grad_norm": 1.803049630981803, + "learning_rate": 1.8959003164683416e-05, + "loss": 0.8417, + "step": 7307 + }, + { + "epoch": 0.17, + "grad_norm": 2.628156962387108, + "learning_rate": 1.8958664153695138e-05, + "loss": 1.0239, + "step": 7308 + }, + { + "epoch": 0.17, + "grad_norm": 1.7119028061275272, + "learning_rate": 1.895832509054668e-05, + "loss": 0.8676, + "step": 7309 + }, + { + "epoch": 0.17, + "grad_norm": 4.301137472178733, + "learning_rate": 1.8957985975240016e-05, + "loss": 0.8346, + "step": 7310 + }, + { + "epoch": 0.17, + "grad_norm": 1.8757227702887382, + "learning_rate": 1.8957646807777123e-05, + "loss": 0.9839, + "step": 7311 + }, + { + "epoch": 0.17, + "grad_norm": 1.698330631720405, + "learning_rate": 1.8957307588159978e-05, + "loss": 1.0187, + "step": 7312 + }, + { + "epoch": 0.17, + "grad_norm": 1.7762477409041144, + "learning_rate": 1.8956968316390547e-05, + "loss": 1.0783, + "step": 7313 + }, + { + "epoch": 0.17, + "grad_norm": 1.7935669522992648, + "learning_rate": 1.8956628992470812e-05, + "loss": 0.9933, + "step": 7314 + }, + { + "epoch": 0.17, + "grad_norm": 0.8336305421856224, + "learning_rate": 1.895628961640275e-05, + "loss": 0.7294, + "step": 7315 + }, + { + "epoch": 0.17, + "grad_norm": 1.7053602703176767, + "learning_rate": 1.895595018818833e-05, + "loss": 0.9816, + "step": 7316 + }, + { + "epoch": 0.17, + "grad_norm": 4.166836451705553, + "learning_rate": 1.8955610707829536e-05, + "loss": 0.7722, + "step": 7317 + }, + { + "epoch": 0.17, + "grad_norm": 1.762401227148261, + "learning_rate": 1.895527117532834e-05, + "loss": 0.8517, + "step": 7318 + }, + { + "epoch": 0.17, + "grad_norm": 1.5340631073502653, + "learning_rate": 1.8954931590686722e-05, + "loss": 0.7978, + "step": 7319 + }, + { + "epoch": 0.17, + "grad_norm": 1.6938564741234192, + "learning_rate": 1.8954591953906657e-05, + "loss": 0.809, + "step": 7320 + }, + { + "epoch": 0.17, + "grad_norm": 1.575579430663909, + "learning_rate": 1.8954252264990122e-05, + "loss": 0.9509, + "step": 7321 + }, + { + "epoch": 0.17, + "grad_norm": 1.6917621771159048, + "learning_rate": 1.895391252393909e-05, + "loss": 0.9626, + "step": 7322 + }, + { + "epoch": 0.17, + "grad_norm": 2.2564936468163346, + "learning_rate": 1.8953572730755552e-05, + "loss": 0.8589, + "step": 7323 + }, + { + "epoch": 0.17, + "grad_norm": 1.9614239656296566, + "learning_rate": 1.8953232885441474e-05, + "loss": 0.9211, + "step": 7324 + }, + { + "epoch": 0.17, + "grad_norm": 1.701288563205997, + "learning_rate": 1.8952892987998844e-05, + "loss": 1.0817, + "step": 7325 + }, + { + "epoch": 0.17, + "grad_norm": 1.6995871086726242, + "learning_rate": 1.8952553038429634e-05, + "loss": 0.9286, + "step": 7326 + }, + { + "epoch": 0.17, + "grad_norm": 1.7582113281935872, + "learning_rate": 1.8952213036735826e-05, + "loss": 1.0314, + "step": 7327 + }, + { + "epoch": 0.17, + "grad_norm": 2.0049895080139497, + "learning_rate": 1.8951872982919398e-05, + "loss": 0.8469, + "step": 7328 + }, + { + "epoch": 0.17, + "grad_norm": 1.627718261494695, + "learning_rate": 1.8951532876982335e-05, + "loss": 0.8938, + "step": 7329 + }, + { + "epoch": 0.17, + "grad_norm": 1.6068743571782382, + "learning_rate": 1.895119271892661e-05, + "loss": 0.9588, + "step": 7330 + }, + { + "epoch": 0.17, + "grad_norm": 1.6137075035709405, + "learning_rate": 1.895085250875421e-05, + "loss": 0.9789, + "step": 7331 + }, + { + "epoch": 0.17, + "grad_norm": 1.9718789042042746, + "learning_rate": 1.8950512246467113e-05, + "loss": 0.9329, + "step": 7332 + }, + { + "epoch": 0.17, + "grad_norm": 1.6416889168992064, + "learning_rate": 1.8950171932067297e-05, + "loss": 0.9311, + "step": 7333 + }, + { + "epoch": 0.17, + "grad_norm": 1.6948628558056376, + "learning_rate": 1.8949831565556747e-05, + "loss": 0.9688, + "step": 7334 + }, + { + "epoch": 0.17, + "grad_norm": 1.729292151023185, + "learning_rate": 1.8949491146937446e-05, + "loss": 0.881, + "step": 7335 + }, + { + "epoch": 0.17, + "grad_norm": 1.7492208885389413, + "learning_rate": 1.8949150676211374e-05, + "loss": 1.0265, + "step": 7336 + }, + { + "epoch": 0.17, + "grad_norm": 1.6306681024719747, + "learning_rate": 1.8948810153380514e-05, + "loss": 0.8941, + "step": 7337 + }, + { + "epoch": 0.17, + "grad_norm": 1.6656500716398568, + "learning_rate": 1.8948469578446845e-05, + "loss": 0.8783, + "step": 7338 + }, + { + "epoch": 0.17, + "grad_norm": 0.8409332275446, + "learning_rate": 1.8948128951412356e-05, + "loss": 0.781, + "step": 7339 + }, + { + "epoch": 0.17, + "grad_norm": 1.7501722121793513, + "learning_rate": 1.8947788272279028e-05, + "loss": 0.9462, + "step": 7340 + }, + { + "epoch": 0.17, + "grad_norm": 0.7600413819477232, + "learning_rate": 1.8947447541048844e-05, + "loss": 0.7279, + "step": 7341 + }, + { + "epoch": 0.17, + "grad_norm": 1.6022319205884819, + "learning_rate": 1.8947106757723782e-05, + "loss": 0.951, + "step": 7342 + }, + { + "epoch": 0.17, + "grad_norm": 1.757504444149762, + "learning_rate": 1.8946765922305835e-05, + "loss": 0.808, + "step": 7343 + }, + { + "epoch": 0.17, + "grad_norm": 1.893251355163327, + "learning_rate": 1.8946425034796988e-05, + "loss": 0.9605, + "step": 7344 + }, + { + "epoch": 0.17, + "grad_norm": 1.8596535231334153, + "learning_rate": 1.8946084095199216e-05, + "loss": 0.9589, + "step": 7345 + }, + { + "epoch": 0.17, + "grad_norm": 1.67237131482304, + "learning_rate": 1.8945743103514516e-05, + "loss": 0.8526, + "step": 7346 + }, + { + "epoch": 0.17, + "grad_norm": 1.64544613636652, + "learning_rate": 1.8945402059744865e-05, + "loss": 0.9249, + "step": 7347 + }, + { + "epoch": 0.17, + "grad_norm": 0.7609292963517321, + "learning_rate": 1.894506096389225e-05, + "loss": 0.7089, + "step": 7348 + }, + { + "epoch": 0.17, + "grad_norm": 2.0194555498897486, + "learning_rate": 1.894471981595866e-05, + "loss": 0.8641, + "step": 7349 + }, + { + "epoch": 0.17, + "grad_norm": 2.5392746756694384, + "learning_rate": 1.8944378615946077e-05, + "loss": 1.053, + "step": 7350 + }, + { + "epoch": 0.17, + "grad_norm": 1.610445895310708, + "learning_rate": 1.8944037363856492e-05, + "loss": 0.8665, + "step": 7351 + }, + { + "epoch": 0.17, + "grad_norm": 2.031611143186199, + "learning_rate": 1.894369605969189e-05, + "loss": 0.9047, + "step": 7352 + }, + { + "epoch": 0.17, + "grad_norm": 1.690013468227407, + "learning_rate": 1.894335470345426e-05, + "loss": 0.8509, + "step": 7353 + }, + { + "epoch": 0.17, + "grad_norm": 0.7474809906452592, + "learning_rate": 1.894301329514558e-05, + "loss": 0.7164, + "step": 7354 + }, + { + "epoch": 0.17, + "grad_norm": 1.78769548933036, + "learning_rate": 1.894267183476785e-05, + "loss": 0.9931, + "step": 7355 + }, + { + "epoch": 0.17, + "grad_norm": 0.8545554169013029, + "learning_rate": 1.8942330322323055e-05, + "loss": 0.6738, + "step": 7356 + }, + { + "epoch": 0.17, + "grad_norm": 1.8608057210213997, + "learning_rate": 1.894198875781318e-05, + "loss": 0.9749, + "step": 7357 + }, + { + "epoch": 0.17, + "grad_norm": 1.8086450216585737, + "learning_rate": 1.8941647141240213e-05, + "loss": 1.0112, + "step": 7358 + }, + { + "epoch": 0.17, + "grad_norm": 1.8765566201265798, + "learning_rate": 1.894130547260615e-05, + "loss": 0.8833, + "step": 7359 + }, + { + "epoch": 0.17, + "grad_norm": 1.7821583090410982, + "learning_rate": 1.8940963751912976e-05, + "loss": 0.8373, + "step": 7360 + }, + { + "epoch": 0.17, + "grad_norm": 1.636680789509576, + "learning_rate": 1.8940621979162678e-05, + "loss": 0.9141, + "step": 7361 + }, + { + "epoch": 0.17, + "grad_norm": 1.7888314461870392, + "learning_rate": 1.8940280154357248e-05, + "loss": 0.858, + "step": 7362 + }, + { + "epoch": 0.17, + "grad_norm": 1.8994386880223402, + "learning_rate": 1.8939938277498675e-05, + "loss": 0.8809, + "step": 7363 + }, + { + "epoch": 0.17, + "grad_norm": 1.9577674470849153, + "learning_rate": 1.8939596348588955e-05, + "loss": 0.8835, + "step": 7364 + }, + { + "epoch": 0.17, + "grad_norm": 0.7781011386201615, + "learning_rate": 1.893925436763007e-05, + "loss": 0.7235, + "step": 7365 + }, + { + "epoch": 0.17, + "grad_norm": 2.526008756199567, + "learning_rate": 1.893891233462402e-05, + "loss": 0.963, + "step": 7366 + }, + { + "epoch": 0.17, + "grad_norm": 0.7921304925772178, + "learning_rate": 1.8938570249572793e-05, + "loss": 0.7457, + "step": 7367 + }, + { + "epoch": 0.17, + "grad_norm": 2.273440229893652, + "learning_rate": 1.8938228112478377e-05, + "loss": 1.0972, + "step": 7368 + }, + { + "epoch": 0.17, + "grad_norm": 1.615156600471727, + "learning_rate": 1.8937885923342768e-05, + "loss": 0.843, + "step": 7369 + }, + { + "epoch": 0.17, + "grad_norm": 0.7717841215497034, + "learning_rate": 1.893754368216796e-05, + "loss": 0.6897, + "step": 7370 + }, + { + "epoch": 0.17, + "grad_norm": 1.6776723849895159, + "learning_rate": 1.893720138895594e-05, + "loss": 0.8635, + "step": 7371 + }, + { + "epoch": 0.17, + "grad_norm": 1.8117170814842771, + "learning_rate": 1.8936859043708705e-05, + "loss": 0.8707, + "step": 7372 + }, + { + "epoch": 0.17, + "grad_norm": 1.8607135341554453, + "learning_rate": 1.893651664642825e-05, + "loss": 0.8518, + "step": 7373 + }, + { + "epoch": 0.17, + "grad_norm": 1.586083082727834, + "learning_rate": 1.893617419711656e-05, + "loss": 0.962, + "step": 7374 + }, + { + "epoch": 0.17, + "grad_norm": 1.9236269101490147, + "learning_rate": 1.893583169577564e-05, + "loss": 0.8618, + "step": 7375 + }, + { + "epoch": 0.17, + "grad_norm": 2.6454216071243843, + "learning_rate": 1.8935489142407474e-05, + "loss": 0.957, + "step": 7376 + }, + { + "epoch": 0.17, + "grad_norm": 1.8290745172414347, + "learning_rate": 1.8935146537014064e-05, + "loss": 1.0019, + "step": 7377 + }, + { + "epoch": 0.17, + "grad_norm": 2.1587665002169816, + "learning_rate": 1.8934803879597402e-05, + "loss": 0.8852, + "step": 7378 + }, + { + "epoch": 0.17, + "grad_norm": 1.7453277547376362, + "learning_rate": 1.8934461170159483e-05, + "loss": 1.0022, + "step": 7379 + }, + { + "epoch": 0.17, + "grad_norm": 1.7018815695089622, + "learning_rate": 1.8934118408702306e-05, + "loss": 0.9269, + "step": 7380 + }, + { + "epoch": 0.17, + "grad_norm": 1.937723853657035, + "learning_rate": 1.8933775595227856e-05, + "loss": 0.88, + "step": 7381 + }, + { + "epoch": 0.17, + "grad_norm": 2.700729721068451, + "learning_rate": 1.893343272973814e-05, + "loss": 0.9618, + "step": 7382 + }, + { + "epoch": 0.17, + "grad_norm": 2.337042781449766, + "learning_rate": 1.8933089812235153e-05, + "loss": 0.8635, + "step": 7383 + }, + { + "epoch": 0.17, + "grad_norm": 2.133722117850204, + "learning_rate": 1.8932746842720884e-05, + "loss": 0.9818, + "step": 7384 + }, + { + "epoch": 0.17, + "grad_norm": 1.9547302363394652, + "learning_rate": 1.8932403821197338e-05, + "loss": 0.8483, + "step": 7385 + }, + { + "epoch": 0.17, + "grad_norm": 1.7662939483208937, + "learning_rate": 1.8932060747666504e-05, + "loss": 1.0126, + "step": 7386 + }, + { + "epoch": 0.17, + "grad_norm": 1.7058253549351006, + "learning_rate": 1.8931717622130392e-05, + "loss": 0.9588, + "step": 7387 + }, + { + "epoch": 0.17, + "grad_norm": 1.9022148714731355, + "learning_rate": 1.8931374444590987e-05, + "loss": 0.8625, + "step": 7388 + }, + { + "epoch": 0.17, + "grad_norm": 1.7402840394434718, + "learning_rate": 1.8931031215050295e-05, + "loss": 0.9277, + "step": 7389 + }, + { + "epoch": 0.17, + "grad_norm": 2.001296977059854, + "learning_rate": 1.893068793351031e-05, + "loss": 0.8674, + "step": 7390 + }, + { + "epoch": 0.17, + "grad_norm": 1.8878227024453584, + "learning_rate": 1.8930344599973035e-05, + "loss": 0.9823, + "step": 7391 + }, + { + "epoch": 0.17, + "grad_norm": 1.6806190166124935, + "learning_rate": 1.8930001214440464e-05, + "loss": 0.8949, + "step": 7392 + }, + { + "epoch": 0.17, + "grad_norm": 1.649801388914835, + "learning_rate": 1.89296577769146e-05, + "loss": 0.8754, + "step": 7393 + }, + { + "epoch": 0.17, + "grad_norm": 1.6389419260644826, + "learning_rate": 1.892931428739744e-05, + "loss": 0.8074, + "step": 7394 + }, + { + "epoch": 0.17, + "grad_norm": 1.679868798933571, + "learning_rate": 1.8928970745890985e-05, + "loss": 0.8264, + "step": 7395 + }, + { + "epoch": 0.17, + "grad_norm": 1.6262552300173816, + "learning_rate": 1.8928627152397237e-05, + "loss": 0.9471, + "step": 7396 + }, + { + "epoch": 0.17, + "grad_norm": 1.6460659757332055, + "learning_rate": 1.8928283506918194e-05, + "loss": 1.1615, + "step": 7397 + }, + { + "epoch": 0.17, + "grad_norm": 1.6772013744350673, + "learning_rate": 1.892793980945586e-05, + "loss": 1.0196, + "step": 7398 + }, + { + "epoch": 0.17, + "grad_norm": 1.6509504662365504, + "learning_rate": 1.892759606001223e-05, + "loss": 0.8365, + "step": 7399 + }, + { + "epoch": 0.17, + "grad_norm": 0.7519713791653482, + "learning_rate": 1.8927252258589312e-05, + "loss": 0.7662, + "step": 7400 + }, + { + "epoch": 0.17, + "grad_norm": 1.7334530169161722, + "learning_rate": 1.8926908405189105e-05, + "loss": 0.9055, + "step": 7401 + }, + { + "epoch": 0.17, + "grad_norm": 0.7672279921829426, + "learning_rate": 1.8926564499813608e-05, + "loss": 0.734, + "step": 7402 + }, + { + "epoch": 0.17, + "grad_norm": 1.6479921688911305, + "learning_rate": 1.8926220542464833e-05, + "loss": 0.8873, + "step": 7403 + }, + { + "epoch": 0.17, + "grad_norm": 0.8000816159736867, + "learning_rate": 1.8925876533144772e-05, + "loss": 0.7164, + "step": 7404 + }, + { + "epoch": 0.17, + "grad_norm": 1.617110556509652, + "learning_rate": 1.892553247185543e-05, + "loss": 0.9338, + "step": 7405 + }, + { + "epoch": 0.17, + "grad_norm": 1.706827203109585, + "learning_rate": 1.8925188358598815e-05, + "loss": 0.9002, + "step": 7406 + }, + { + "epoch": 0.17, + "grad_norm": 2.879316452867438, + "learning_rate": 1.8924844193376926e-05, + "loss": 0.8181, + "step": 7407 + }, + { + "epoch": 0.17, + "grad_norm": 1.8964599532821025, + "learning_rate": 1.892449997619177e-05, + "loss": 1.0205, + "step": 7408 + }, + { + "epoch": 0.17, + "grad_norm": 1.6814120145717213, + "learning_rate": 1.8924155707045348e-05, + "loss": 0.9512, + "step": 7409 + }, + { + "epoch": 0.17, + "grad_norm": 1.6392862532731887, + "learning_rate": 1.8923811385939666e-05, + "loss": 0.9801, + "step": 7410 + }, + { + "epoch": 0.17, + "grad_norm": 1.8526486145302137, + "learning_rate": 1.892346701287673e-05, + "loss": 0.9809, + "step": 7411 + }, + { + "epoch": 0.17, + "grad_norm": 2.1751339585641967, + "learning_rate": 1.8923122587858543e-05, + "loss": 1.0131, + "step": 7412 + }, + { + "epoch": 0.17, + "grad_norm": 1.9883255069515526, + "learning_rate": 1.8922778110887114e-05, + "loss": 0.9441, + "step": 7413 + }, + { + "epoch": 0.17, + "grad_norm": 1.534602485458821, + "learning_rate": 1.8922433581964443e-05, + "loss": 0.9759, + "step": 7414 + }, + { + "epoch": 0.17, + "grad_norm": 2.2321496943955568, + "learning_rate": 1.892208900109254e-05, + "loss": 1.0154, + "step": 7415 + }, + { + "epoch": 0.17, + "grad_norm": 1.6620003992707284, + "learning_rate": 1.892174436827341e-05, + "loss": 0.9535, + "step": 7416 + }, + { + "epoch": 0.17, + "grad_norm": 0.8042178944742296, + "learning_rate": 1.892139968350906e-05, + "loss": 0.7122, + "step": 7417 + }, + { + "epoch": 0.17, + "grad_norm": 1.4880674806582532, + "learning_rate": 1.8921054946801497e-05, + "loss": 1.0625, + "step": 7418 + }, + { + "epoch": 0.17, + "grad_norm": 1.9840384808502936, + "learning_rate": 1.8920710158152727e-05, + "loss": 0.7672, + "step": 7419 + }, + { + "epoch": 0.17, + "grad_norm": 1.7279144505156367, + "learning_rate": 1.8920365317564758e-05, + "loss": 0.8287, + "step": 7420 + }, + { + "epoch": 0.17, + "grad_norm": 0.7627260234992628, + "learning_rate": 1.8920020425039598e-05, + "loss": 0.7134, + "step": 7421 + }, + { + "epoch": 0.17, + "grad_norm": 1.7533410337487234, + "learning_rate": 1.8919675480579256e-05, + "loss": 0.9747, + "step": 7422 + }, + { + "epoch": 0.17, + "grad_norm": 1.6766536826078964, + "learning_rate": 1.891933048418574e-05, + "loss": 1.0608, + "step": 7423 + }, + { + "epoch": 0.17, + "grad_norm": 0.7787145841520661, + "learning_rate": 1.8918985435861056e-05, + "loss": 0.7645, + "step": 7424 + }, + { + "epoch": 0.17, + "grad_norm": 0.7727361115028724, + "learning_rate": 1.8918640335607215e-05, + "loss": 0.6972, + "step": 7425 + }, + { + "epoch": 0.17, + "grad_norm": 1.7117320077219251, + "learning_rate": 1.8918295183426226e-05, + "loss": 0.9194, + "step": 7426 + }, + { + "epoch": 0.17, + "grad_norm": 1.7445877825307354, + "learning_rate": 1.89179499793201e-05, + "loss": 0.9319, + "step": 7427 + }, + { + "epoch": 0.17, + "grad_norm": 1.681547388047658, + "learning_rate": 1.891760472329085e-05, + "loss": 0.812, + "step": 7428 + }, + { + "epoch": 0.18, + "grad_norm": 2.010988676562553, + "learning_rate": 1.891725941534048e-05, + "loss": 0.8744, + "step": 7429 + }, + { + "epoch": 0.18, + "grad_norm": 1.7387923532517158, + "learning_rate": 1.8916914055471e-05, + "loss": 0.7915, + "step": 7430 + }, + { + "epoch": 0.18, + "grad_norm": 1.541186544229585, + "learning_rate": 1.891656864368442e-05, + "loss": 0.9141, + "step": 7431 + }, + { + "epoch": 0.18, + "grad_norm": 1.9296257456136072, + "learning_rate": 1.891622317998276e-05, + "loss": 0.9512, + "step": 7432 + }, + { + "epoch": 0.18, + "grad_norm": 1.6804262646354917, + "learning_rate": 1.8915877664368026e-05, + "loss": 0.925, + "step": 7433 + }, + { + "epoch": 0.18, + "grad_norm": 2.3094332548236176, + "learning_rate": 1.8915532096842225e-05, + "loss": 0.8556, + "step": 7434 + }, + { + "epoch": 0.18, + "grad_norm": 1.8490813597210696, + "learning_rate": 1.8915186477407376e-05, + "loss": 1.0565, + "step": 7435 + }, + { + "epoch": 0.18, + "grad_norm": 0.8476956147092283, + "learning_rate": 1.891484080606549e-05, + "loss": 0.7545, + "step": 7436 + }, + { + "epoch": 0.18, + "grad_norm": 1.6526004907822545, + "learning_rate": 1.8914495082818578e-05, + "loss": 0.8699, + "step": 7437 + }, + { + "epoch": 0.18, + "grad_norm": 1.9067883136787518, + "learning_rate": 1.891414930766865e-05, + "loss": 0.9376, + "step": 7438 + }, + { + "epoch": 0.18, + "grad_norm": 2.348878668927802, + "learning_rate": 1.891380348061773e-05, + "loss": 0.9407, + "step": 7439 + }, + { + "epoch": 0.18, + "grad_norm": 1.9376352921419733, + "learning_rate": 1.891345760166782e-05, + "loss": 0.9692, + "step": 7440 + }, + { + "epoch": 0.18, + "grad_norm": 1.8682377855257088, + "learning_rate": 1.8913111670820936e-05, + "loss": 1.0124, + "step": 7441 + }, + { + "epoch": 0.18, + "grad_norm": 1.3872522802980762, + "learning_rate": 1.8912765688079097e-05, + "loss": 0.8166, + "step": 7442 + }, + { + "epoch": 0.18, + "grad_norm": 1.8388970953038224, + "learning_rate": 1.8912419653444313e-05, + "loss": 0.8075, + "step": 7443 + }, + { + "epoch": 0.18, + "grad_norm": 1.640477862032805, + "learning_rate": 1.8912073566918597e-05, + "loss": 0.8133, + "step": 7444 + }, + { + "epoch": 0.18, + "grad_norm": 1.8060368968691334, + "learning_rate": 1.891172742850397e-05, + "loss": 0.7685, + "step": 7445 + }, + { + "epoch": 0.18, + "grad_norm": 1.9350050745663674, + "learning_rate": 1.8911381238202447e-05, + "loss": 0.8781, + "step": 7446 + }, + { + "epoch": 0.18, + "grad_norm": 0.8155126517136624, + "learning_rate": 1.891103499601604e-05, + "loss": 0.7786, + "step": 7447 + }, + { + "epoch": 0.18, + "grad_norm": 1.5343339971324843, + "learning_rate": 1.8910688701946763e-05, + "loss": 0.9489, + "step": 7448 + }, + { + "epoch": 0.18, + "grad_norm": 2.321596487414115, + "learning_rate": 1.8910342355996637e-05, + "loss": 0.8551, + "step": 7449 + }, + { + "epoch": 0.18, + "grad_norm": 3.122340785571428, + "learning_rate": 1.8909995958167678e-05, + "loss": 0.9209, + "step": 7450 + }, + { + "epoch": 0.18, + "grad_norm": 1.7116693587636178, + "learning_rate": 1.89096495084619e-05, + "loss": 0.9485, + "step": 7451 + }, + { + "epoch": 0.18, + "grad_norm": 2.1786913380100357, + "learning_rate": 1.8909303006881323e-05, + "loss": 0.9615, + "step": 7452 + }, + { + "epoch": 0.18, + "grad_norm": 1.7844656902862894, + "learning_rate": 1.8908956453427963e-05, + "loss": 0.9891, + "step": 7453 + }, + { + "epoch": 0.18, + "grad_norm": 1.7127706650755, + "learning_rate": 1.890860984810384e-05, + "loss": 0.9102, + "step": 7454 + }, + { + "epoch": 0.18, + "grad_norm": 1.8270905455955226, + "learning_rate": 1.8908263190910966e-05, + "loss": 0.8346, + "step": 7455 + }, + { + "epoch": 0.18, + "grad_norm": 2.411203239766871, + "learning_rate": 1.8907916481851364e-05, + "loss": 0.9104, + "step": 7456 + }, + { + "epoch": 0.18, + "grad_norm": 1.707649160176564, + "learning_rate": 1.8907569720927055e-05, + "loss": 1.0091, + "step": 7457 + }, + { + "epoch": 0.18, + "grad_norm": 1.8197245323769495, + "learning_rate": 1.8907222908140053e-05, + "loss": 0.8946, + "step": 7458 + }, + { + "epoch": 0.18, + "grad_norm": 2.262597233722515, + "learning_rate": 1.8906876043492382e-05, + "loss": 0.9705, + "step": 7459 + }, + { + "epoch": 0.18, + "grad_norm": 1.4358650300780131, + "learning_rate": 1.8906529126986057e-05, + "loss": 0.9543, + "step": 7460 + }, + { + "epoch": 0.18, + "grad_norm": 1.6166127222476916, + "learning_rate": 1.8906182158623097e-05, + "loss": 0.9421, + "step": 7461 + }, + { + "epoch": 0.18, + "grad_norm": 1.6311813249430296, + "learning_rate": 1.8905835138405526e-05, + "loss": 0.901, + "step": 7462 + }, + { + "epoch": 0.18, + "grad_norm": 2.0628481933189065, + "learning_rate": 1.8905488066335366e-05, + "loss": 0.8769, + "step": 7463 + }, + { + "epoch": 0.18, + "grad_norm": 1.8611481889717698, + "learning_rate": 1.8905140942414633e-05, + "loss": 0.9793, + "step": 7464 + }, + { + "epoch": 0.18, + "grad_norm": 1.5461248730441326, + "learning_rate": 1.890479376664535e-05, + "loss": 0.9728, + "step": 7465 + }, + { + "epoch": 0.18, + "grad_norm": 0.811603212029055, + "learning_rate": 1.890444653902954e-05, + "loss": 0.7084, + "step": 7466 + }, + { + "epoch": 0.18, + "grad_norm": 1.365832115186372, + "learning_rate": 1.890409925956922e-05, + "loss": 0.8613, + "step": 7467 + }, + { + "epoch": 0.18, + "grad_norm": 0.8005842482809185, + "learning_rate": 1.8903751928266415e-05, + "loss": 0.7365, + "step": 7468 + }, + { + "epoch": 0.18, + "grad_norm": 1.9163846852036983, + "learning_rate": 1.890340454512315e-05, + "loss": 0.9821, + "step": 7469 + }, + { + "epoch": 0.18, + "grad_norm": 1.7257697599191972, + "learning_rate": 1.8903057110141443e-05, + "loss": 0.9879, + "step": 7470 + }, + { + "epoch": 0.18, + "grad_norm": 1.9753190074221794, + "learning_rate": 1.8902709623323322e-05, + "loss": 0.9086, + "step": 7471 + }, + { + "epoch": 0.18, + "grad_norm": 1.6007182298696219, + "learning_rate": 1.8902362084670806e-05, + "loss": 0.9446, + "step": 7472 + }, + { + "epoch": 0.18, + "grad_norm": 1.84120879249596, + "learning_rate": 1.8902014494185918e-05, + "loss": 0.9749, + "step": 7473 + }, + { + "epoch": 0.18, + "grad_norm": 0.8193159989709021, + "learning_rate": 1.8901666851870684e-05, + "loss": 0.7602, + "step": 7474 + }, + { + "epoch": 0.18, + "grad_norm": 1.589721630879703, + "learning_rate": 1.8901319157727127e-05, + "loss": 0.9448, + "step": 7475 + }, + { + "epoch": 0.18, + "grad_norm": 2.398772178499144, + "learning_rate": 1.8900971411757273e-05, + "loss": 1.0227, + "step": 7476 + }, + { + "epoch": 0.18, + "grad_norm": 2.0982149588441286, + "learning_rate": 1.8900623613963144e-05, + "loss": 0.9546, + "step": 7477 + }, + { + "epoch": 0.18, + "grad_norm": 1.5973983827935758, + "learning_rate": 1.890027576434677e-05, + "loss": 0.847, + "step": 7478 + }, + { + "epoch": 0.18, + "grad_norm": 0.7496491890129738, + "learning_rate": 1.889992786291017e-05, + "loss": 0.7967, + "step": 7479 + }, + { + "epoch": 0.18, + "grad_norm": 1.8657790309719642, + "learning_rate": 1.889957990965537e-05, + "loss": 1.0087, + "step": 7480 + }, + { + "epoch": 0.18, + "grad_norm": 1.6473245566397732, + "learning_rate": 1.88992319045844e-05, + "loss": 0.7724, + "step": 7481 + }, + { + "epoch": 0.18, + "grad_norm": 1.6156082036048107, + "learning_rate": 1.8898883847699284e-05, + "loss": 1.0441, + "step": 7482 + }, + { + "epoch": 0.18, + "grad_norm": 1.9124606583835015, + "learning_rate": 1.889853573900205e-05, + "loss": 0.8686, + "step": 7483 + }, + { + "epoch": 0.18, + "grad_norm": 2.7500696127720707, + "learning_rate": 1.8898187578494723e-05, + "loss": 0.9285, + "step": 7484 + }, + { + "epoch": 0.18, + "grad_norm": 1.7432212525524304, + "learning_rate": 1.889783936617933e-05, + "loss": 0.7755, + "step": 7485 + }, + { + "epoch": 0.18, + "grad_norm": 1.5194055677959288, + "learning_rate": 1.88974911020579e-05, + "loss": 1.001, + "step": 7486 + }, + { + "epoch": 0.18, + "grad_norm": 1.8287410335740237, + "learning_rate": 1.889714278613246e-05, + "loss": 0.8607, + "step": 7487 + }, + { + "epoch": 0.18, + "grad_norm": 1.6446043830075512, + "learning_rate": 1.889679441840504e-05, + "loss": 0.9871, + "step": 7488 + }, + { + "epoch": 0.18, + "grad_norm": 0.7774046376538096, + "learning_rate": 1.8896445998877664e-05, + "loss": 0.7925, + "step": 7489 + }, + { + "epoch": 0.18, + "grad_norm": 1.760780809332476, + "learning_rate": 1.8896097527552362e-05, + "loss": 1.0509, + "step": 7490 + }, + { + "epoch": 0.18, + "grad_norm": 1.7224339326980511, + "learning_rate": 1.8895749004431168e-05, + "loss": 0.9909, + "step": 7491 + }, + { + "epoch": 0.18, + "grad_norm": 1.7417276132054782, + "learning_rate": 1.88954004295161e-05, + "loss": 0.9936, + "step": 7492 + }, + { + "epoch": 0.18, + "grad_norm": 1.4781124872513873, + "learning_rate": 1.8895051802809202e-05, + "loss": 0.9094, + "step": 7493 + }, + { + "epoch": 0.18, + "grad_norm": 1.5657807757269713, + "learning_rate": 1.8894703124312492e-05, + "loss": 0.9586, + "step": 7494 + }, + { + "epoch": 0.18, + "grad_norm": 1.6469800314291403, + "learning_rate": 1.8894354394028005e-05, + "loss": 0.7762, + "step": 7495 + }, + { + "epoch": 0.18, + "grad_norm": 2.319861602793114, + "learning_rate": 1.889400561195777e-05, + "loss": 1.0119, + "step": 7496 + }, + { + "epoch": 0.18, + "grad_norm": 3.2300743589825913, + "learning_rate": 1.889365677810382e-05, + "loss": 0.9572, + "step": 7497 + }, + { + "epoch": 0.18, + "grad_norm": 1.67139442206231, + "learning_rate": 1.8893307892468184e-05, + "loss": 0.9899, + "step": 7498 + }, + { + "epoch": 0.18, + "grad_norm": 1.4725281037070321, + "learning_rate": 1.8892958955052893e-05, + "loss": 0.9839, + "step": 7499 + }, + { + "epoch": 0.18, + "grad_norm": 1.7167337460786027, + "learning_rate": 1.889260996585998e-05, + "loss": 0.9192, + "step": 7500 + }, + { + "epoch": 0.18, + "grad_norm": 1.6369789883691825, + "learning_rate": 1.889226092489148e-05, + "loss": 0.9522, + "step": 7501 + }, + { + "epoch": 0.18, + "grad_norm": 2.1608559062038335, + "learning_rate": 1.8891911832149418e-05, + "loss": 0.9314, + "step": 7502 + }, + { + "epoch": 0.18, + "grad_norm": 1.7114727553574993, + "learning_rate": 1.889156268763583e-05, + "loss": 0.9046, + "step": 7503 + }, + { + "epoch": 0.18, + "grad_norm": 1.4980880542883879, + "learning_rate": 1.889121349135275e-05, + "loss": 0.9172, + "step": 7504 + }, + { + "epoch": 0.18, + "grad_norm": 2.566451715512264, + "learning_rate": 1.889086424330221e-05, + "loss": 0.9832, + "step": 7505 + }, + { + "epoch": 0.18, + "grad_norm": 1.728712043539893, + "learning_rate": 1.8890514943486242e-05, + "loss": 0.9173, + "step": 7506 + }, + { + "epoch": 0.18, + "grad_norm": 1.7750118694723929, + "learning_rate": 1.8890165591906883e-05, + "loss": 0.9101, + "step": 7507 + }, + { + "epoch": 0.18, + "grad_norm": 1.8883784963665342, + "learning_rate": 1.8889816188566163e-05, + "loss": 0.9058, + "step": 7508 + }, + { + "epoch": 0.18, + "grad_norm": 1.5650898187765172, + "learning_rate": 1.8889466733466124e-05, + "loss": 0.9641, + "step": 7509 + }, + { + "epoch": 0.18, + "grad_norm": 2.0241696819754567, + "learning_rate": 1.888911722660879e-05, + "loss": 0.8717, + "step": 7510 + }, + { + "epoch": 0.18, + "grad_norm": 2.1413204270978077, + "learning_rate": 1.88887676679962e-05, + "loss": 0.8476, + "step": 7511 + }, + { + "epoch": 0.18, + "grad_norm": 1.818039255026044, + "learning_rate": 1.8888418057630397e-05, + "loss": 0.9096, + "step": 7512 + }, + { + "epoch": 0.18, + "grad_norm": 1.9972563050879333, + "learning_rate": 1.8888068395513407e-05, + "loss": 0.9558, + "step": 7513 + }, + { + "epoch": 0.18, + "grad_norm": 1.669623351062067, + "learning_rate": 1.8887718681647265e-05, + "loss": 0.854, + "step": 7514 + }, + { + "epoch": 0.18, + "grad_norm": 1.7900380484403307, + "learning_rate": 1.8887368916034017e-05, + "loss": 0.9251, + "step": 7515 + }, + { + "epoch": 0.18, + "grad_norm": 0.7974678910879781, + "learning_rate": 1.8887019098675692e-05, + "loss": 0.7395, + "step": 7516 + }, + { + "epoch": 0.18, + "grad_norm": 2.1201141743197085, + "learning_rate": 1.8886669229574326e-05, + "loss": 0.9242, + "step": 7517 + }, + { + "epoch": 0.18, + "grad_norm": 2.1147611258751353, + "learning_rate": 1.888631930873196e-05, + "loss": 0.9137, + "step": 7518 + }, + { + "epoch": 0.18, + "grad_norm": 1.9116763150495868, + "learning_rate": 1.888596933615063e-05, + "loss": 0.9061, + "step": 7519 + }, + { + "epoch": 0.18, + "grad_norm": 1.525002845835919, + "learning_rate": 1.888561931183237e-05, + "loss": 0.9728, + "step": 7520 + }, + { + "epoch": 0.18, + "grad_norm": 2.1210691449529007, + "learning_rate": 1.8885269235779226e-05, + "loss": 0.9719, + "step": 7521 + }, + { + "epoch": 0.18, + "grad_norm": 1.8348518987762243, + "learning_rate": 1.888491910799323e-05, + "loss": 1.0013, + "step": 7522 + }, + { + "epoch": 0.18, + "grad_norm": 1.6096101862159156, + "learning_rate": 1.888456892847642e-05, + "loss": 1.0024, + "step": 7523 + }, + { + "epoch": 0.18, + "grad_norm": 1.7087296958086844, + "learning_rate": 1.8884218697230838e-05, + "loss": 0.7411, + "step": 7524 + }, + { + "epoch": 0.18, + "grad_norm": 1.8246900677562352, + "learning_rate": 1.8883868414258525e-05, + "loss": 0.9645, + "step": 7525 + }, + { + "epoch": 0.18, + "grad_norm": 2.329920921764304, + "learning_rate": 1.8883518079561512e-05, + "loss": 1.0543, + "step": 7526 + }, + { + "epoch": 0.18, + "grad_norm": 1.732548874957755, + "learning_rate": 1.8883167693141845e-05, + "loss": 1.0415, + "step": 7527 + }, + { + "epoch": 0.18, + "grad_norm": 0.8200230690105063, + "learning_rate": 1.8882817255001567e-05, + "loss": 0.73, + "step": 7528 + }, + { + "epoch": 0.18, + "grad_norm": 2.3980635521274345, + "learning_rate": 1.8882466765142715e-05, + "loss": 0.8934, + "step": 7529 + }, + { + "epoch": 0.18, + "grad_norm": 1.847671798618957, + "learning_rate": 1.8882116223567327e-05, + "loss": 0.8756, + "step": 7530 + }, + { + "epoch": 0.18, + "grad_norm": 4.010973426022399, + "learning_rate": 1.8881765630277447e-05, + "loss": 0.9031, + "step": 7531 + }, + { + "epoch": 0.18, + "grad_norm": 1.9949314113620658, + "learning_rate": 1.8881414985275114e-05, + "loss": 0.8793, + "step": 7532 + }, + { + "epoch": 0.18, + "grad_norm": 1.654934065625701, + "learning_rate": 1.8881064288562373e-05, + "loss": 1.0307, + "step": 7533 + }, + { + "epoch": 0.18, + "grad_norm": 1.6271516820013034, + "learning_rate": 1.888071354014126e-05, + "loss": 0.7947, + "step": 7534 + }, + { + "epoch": 0.18, + "grad_norm": 1.7255194166415457, + "learning_rate": 1.8880362740013827e-05, + "loss": 0.9065, + "step": 7535 + }, + { + "epoch": 0.18, + "grad_norm": 0.7276443817046895, + "learning_rate": 1.8880011888182108e-05, + "loss": 0.7705, + "step": 7536 + }, + { + "epoch": 0.18, + "grad_norm": 1.7659052519354106, + "learning_rate": 1.887966098464815e-05, + "loss": 0.8963, + "step": 7537 + }, + { + "epoch": 0.18, + "grad_norm": 1.6245082021796449, + "learning_rate": 1.8879310029413993e-05, + "loss": 0.8197, + "step": 7538 + }, + { + "epoch": 0.18, + "grad_norm": 1.5564930251417266, + "learning_rate": 1.8878959022481682e-05, + "loss": 0.9611, + "step": 7539 + }, + { + "epoch": 0.18, + "grad_norm": 1.693096066684766, + "learning_rate": 1.887860796385326e-05, + "loss": 0.8172, + "step": 7540 + }, + { + "epoch": 0.18, + "grad_norm": 3.375132317104774, + "learning_rate": 1.8878256853530772e-05, + "loss": 0.9649, + "step": 7541 + }, + { + "epoch": 0.18, + "grad_norm": 2.050562833865823, + "learning_rate": 1.8877905691516263e-05, + "loss": 0.9742, + "step": 7542 + }, + { + "epoch": 0.18, + "grad_norm": 1.7556285867095756, + "learning_rate": 1.8877554477811775e-05, + "loss": 1.0182, + "step": 7543 + }, + { + "epoch": 0.18, + "grad_norm": 1.8249219595602826, + "learning_rate": 1.8877203212419354e-05, + "loss": 0.7363, + "step": 7544 + }, + { + "epoch": 0.18, + "grad_norm": 2.0573706972892585, + "learning_rate": 1.8876851895341044e-05, + "loss": 0.9087, + "step": 7545 + }, + { + "epoch": 0.18, + "grad_norm": 1.6868046849512222, + "learning_rate": 1.8876500526578897e-05, + "loss": 0.8614, + "step": 7546 + }, + { + "epoch": 0.18, + "grad_norm": 1.8790395400160211, + "learning_rate": 1.8876149106134947e-05, + "loss": 0.8686, + "step": 7547 + }, + { + "epoch": 0.18, + "grad_norm": 1.6228733996620945, + "learning_rate": 1.8875797634011254e-05, + "loss": 0.8603, + "step": 7548 + }, + { + "epoch": 0.18, + "grad_norm": 2.063909143677601, + "learning_rate": 1.887544611020985e-05, + "loss": 0.939, + "step": 7549 + }, + { + "epoch": 0.18, + "grad_norm": 1.9376344852221614, + "learning_rate": 1.8875094534732793e-05, + "loss": 0.9465, + "step": 7550 + }, + { + "epoch": 0.18, + "grad_norm": 1.5921095790688704, + "learning_rate": 1.8874742907582124e-05, + "loss": 0.9679, + "step": 7551 + }, + { + "epoch": 0.18, + "grad_norm": 2.0667881282922056, + "learning_rate": 1.8874391228759894e-05, + "loss": 0.8912, + "step": 7552 + }, + { + "epoch": 0.18, + "grad_norm": 0.7823105372535639, + "learning_rate": 1.8874039498268147e-05, + "loss": 0.7469, + "step": 7553 + }, + { + "epoch": 0.18, + "grad_norm": 1.7763439721419705, + "learning_rate": 1.8873687716108935e-05, + "loss": 0.844, + "step": 7554 + }, + { + "epoch": 0.18, + "grad_norm": 1.844543916228169, + "learning_rate": 1.88733358822843e-05, + "loss": 0.9734, + "step": 7555 + }, + { + "epoch": 0.18, + "grad_norm": 2.2171670296133072, + "learning_rate": 1.8872983996796298e-05, + "loss": 1.0998, + "step": 7556 + }, + { + "epoch": 0.18, + "grad_norm": 0.7670027870040683, + "learning_rate": 1.8872632059646973e-05, + "loss": 0.8103, + "step": 7557 + }, + { + "epoch": 0.18, + "grad_norm": 1.8809812996062345, + "learning_rate": 1.8872280070838373e-05, + "loss": 0.8715, + "step": 7558 + }, + { + "epoch": 0.18, + "grad_norm": 1.6351617417016036, + "learning_rate": 1.8871928030372553e-05, + "loss": 0.8156, + "step": 7559 + }, + { + "epoch": 0.18, + "grad_norm": 1.5198749522072128, + "learning_rate": 1.8871575938251557e-05, + "loss": 0.7597, + "step": 7560 + }, + { + "epoch": 0.18, + "grad_norm": 1.6417387257436098, + "learning_rate": 1.887122379447744e-05, + "loss": 0.9246, + "step": 7561 + }, + { + "epoch": 0.18, + "grad_norm": 1.6960179064702072, + "learning_rate": 1.8870871599052244e-05, + "loss": 0.8505, + "step": 7562 + }, + { + "epoch": 0.18, + "grad_norm": 0.7529217223523519, + "learning_rate": 1.8870519351978026e-05, + "loss": 0.7251, + "step": 7563 + }, + { + "epoch": 0.18, + "grad_norm": 1.865530578826342, + "learning_rate": 1.8870167053256838e-05, + "loss": 0.9371, + "step": 7564 + }, + { + "epoch": 0.18, + "grad_norm": 0.7766150492747192, + "learning_rate": 1.8869814702890733e-05, + "loss": 0.7391, + "step": 7565 + }, + { + "epoch": 0.18, + "grad_norm": 1.7709297513381024, + "learning_rate": 1.8869462300881755e-05, + "loss": 0.8622, + "step": 7566 + }, + { + "epoch": 0.18, + "grad_norm": 1.6908261719383255, + "learning_rate": 1.8869109847231956e-05, + "loss": 0.8626, + "step": 7567 + }, + { + "epoch": 0.18, + "grad_norm": 1.6641391777375105, + "learning_rate": 1.8868757341943396e-05, + "loss": 0.9818, + "step": 7568 + }, + { + "epoch": 0.18, + "grad_norm": 1.6168358809697219, + "learning_rate": 1.886840478501812e-05, + "loss": 0.8921, + "step": 7569 + }, + { + "epoch": 0.18, + "grad_norm": 1.8032464424781978, + "learning_rate": 1.8868052176458188e-05, + "loss": 1.0289, + "step": 7570 + }, + { + "epoch": 0.18, + "grad_norm": 1.872244774161907, + "learning_rate": 1.8867699516265646e-05, + "loss": 0.907, + "step": 7571 + }, + { + "epoch": 0.18, + "grad_norm": 1.7245659787287368, + "learning_rate": 1.886734680444255e-05, + "loss": 0.9085, + "step": 7572 + }, + { + "epoch": 0.18, + "grad_norm": 1.43900869482779, + "learning_rate": 1.8866994040990954e-05, + "loss": 0.8994, + "step": 7573 + }, + { + "epoch": 0.18, + "grad_norm": 1.7546212175710503, + "learning_rate": 1.8866641225912908e-05, + "loss": 0.9642, + "step": 7574 + }, + { + "epoch": 0.18, + "grad_norm": 1.8858260448177497, + "learning_rate": 1.8866288359210474e-05, + "loss": 1.0874, + "step": 7575 + }, + { + "epoch": 0.18, + "grad_norm": 1.57675116207097, + "learning_rate": 1.88659354408857e-05, + "loss": 0.8831, + "step": 7576 + }, + { + "epoch": 0.18, + "grad_norm": 2.807484009217076, + "learning_rate": 1.8865582470940644e-05, + "loss": 0.9706, + "step": 7577 + }, + { + "epoch": 0.18, + "grad_norm": 1.8241186166017458, + "learning_rate": 1.886522944937736e-05, + "loss": 1.0535, + "step": 7578 + }, + { + "epoch": 0.18, + "grad_norm": 1.74955063963441, + "learning_rate": 1.8864876376197904e-05, + "loss": 0.7848, + "step": 7579 + }, + { + "epoch": 0.18, + "grad_norm": 1.725001736196315, + "learning_rate": 1.886452325140433e-05, + "loss": 0.8079, + "step": 7580 + }, + { + "epoch": 0.18, + "grad_norm": 1.7477290319566863, + "learning_rate": 1.8864170074998695e-05, + "loss": 0.8129, + "step": 7581 + }, + { + "epoch": 0.18, + "grad_norm": 1.7698116016261827, + "learning_rate": 1.8863816846983055e-05, + "loss": 0.8095, + "step": 7582 + }, + { + "epoch": 0.18, + "grad_norm": 1.828412265959195, + "learning_rate": 1.886346356735947e-05, + "loss": 0.9431, + "step": 7583 + }, + { + "epoch": 0.18, + "grad_norm": 1.7303561983906344, + "learning_rate": 1.8863110236129993e-05, + "loss": 0.9122, + "step": 7584 + }, + { + "epoch": 0.18, + "grad_norm": 1.7001399921046607, + "learning_rate": 1.886275685329668e-05, + "loss": 0.8017, + "step": 7585 + }, + { + "epoch": 0.18, + "grad_norm": 2.6795606229708664, + "learning_rate": 1.8862403418861593e-05, + "loss": 0.863, + "step": 7586 + }, + { + "epoch": 0.18, + "grad_norm": 1.6490833470105475, + "learning_rate": 1.8862049932826787e-05, + "loss": 0.9398, + "step": 7587 + }, + { + "epoch": 0.18, + "grad_norm": 1.613340651411344, + "learning_rate": 1.886169639519432e-05, + "loss": 0.8743, + "step": 7588 + }, + { + "epoch": 0.18, + "grad_norm": 1.7780789694527708, + "learning_rate": 1.886134280596625e-05, + "loss": 0.8099, + "step": 7589 + }, + { + "epoch": 0.18, + "grad_norm": 1.709606460955251, + "learning_rate": 1.886098916514464e-05, + "loss": 0.8595, + "step": 7590 + }, + { + "epoch": 0.18, + "grad_norm": 1.7877078078729949, + "learning_rate": 1.886063547273154e-05, + "loss": 0.8596, + "step": 7591 + }, + { + "epoch": 0.18, + "grad_norm": 1.916166191140713, + "learning_rate": 1.886028172872902e-05, + "loss": 0.802, + "step": 7592 + }, + { + "epoch": 0.18, + "grad_norm": 1.7106205359374065, + "learning_rate": 1.885992793313913e-05, + "loss": 0.8705, + "step": 7593 + }, + { + "epoch": 0.18, + "grad_norm": 1.839551653740033, + "learning_rate": 1.885957408596394e-05, + "loss": 0.9573, + "step": 7594 + }, + { + "epoch": 0.18, + "grad_norm": 2.1196855703143664, + "learning_rate": 1.8859220187205505e-05, + "loss": 1.0065, + "step": 7595 + }, + { + "epoch": 0.18, + "grad_norm": 2.2081544601529446, + "learning_rate": 1.8858866236865883e-05, + "loss": 0.9905, + "step": 7596 + }, + { + "epoch": 0.18, + "grad_norm": 1.6302195114669364, + "learning_rate": 1.8858512234947138e-05, + "loss": 0.9376, + "step": 7597 + }, + { + "epoch": 0.18, + "grad_norm": 1.568780228906368, + "learning_rate": 1.8858158181451327e-05, + "loss": 0.8972, + "step": 7598 + }, + { + "epoch": 0.18, + "grad_norm": 1.751845026399113, + "learning_rate": 1.885780407638052e-05, + "loss": 1.0679, + "step": 7599 + }, + { + "epoch": 0.18, + "grad_norm": 1.6028055080175014, + "learning_rate": 1.885744991973677e-05, + "loss": 0.9075, + "step": 7600 + }, + { + "epoch": 0.18, + "grad_norm": 1.7822235350223852, + "learning_rate": 1.885709571152214e-05, + "loss": 0.8836, + "step": 7601 + }, + { + "epoch": 0.18, + "grad_norm": 2.1316900717937353, + "learning_rate": 1.8856741451738697e-05, + "loss": 0.8687, + "step": 7602 + }, + { + "epoch": 0.18, + "grad_norm": 1.8641794269662222, + "learning_rate": 1.88563871403885e-05, + "loss": 0.9568, + "step": 7603 + }, + { + "epoch": 0.18, + "grad_norm": 1.7701593561027225, + "learning_rate": 1.8856032777473617e-05, + "loss": 0.9454, + "step": 7604 + }, + { + "epoch": 0.18, + "grad_norm": 3.1969261359131775, + "learning_rate": 1.8855678362996105e-05, + "loss": 0.7958, + "step": 7605 + }, + { + "epoch": 0.18, + "grad_norm": 1.6558651649427472, + "learning_rate": 1.885532389695803e-05, + "loss": 0.9562, + "step": 7606 + }, + { + "epoch": 0.18, + "grad_norm": 2.00148512462567, + "learning_rate": 1.8854969379361456e-05, + "loss": 0.9063, + "step": 7607 + }, + { + "epoch": 0.18, + "grad_norm": 1.917879127390996, + "learning_rate": 1.8854614810208446e-05, + "loss": 0.8412, + "step": 7608 + }, + { + "epoch": 0.18, + "grad_norm": 2.0507162599824347, + "learning_rate": 1.8854260189501068e-05, + "loss": 0.8893, + "step": 7609 + }, + { + "epoch": 0.18, + "grad_norm": 2.2793008482819963, + "learning_rate": 1.8853905517241384e-05, + "loss": 0.9655, + "step": 7610 + }, + { + "epoch": 0.18, + "grad_norm": 1.6868484146316078, + "learning_rate": 1.885355079343145e-05, + "loss": 1.0012, + "step": 7611 + }, + { + "epoch": 0.18, + "grad_norm": 1.547563465650796, + "learning_rate": 1.8853196018073352e-05, + "loss": 0.9228, + "step": 7612 + }, + { + "epoch": 0.18, + "grad_norm": 1.6536590377197204, + "learning_rate": 1.8852841191169138e-05, + "loss": 0.8893, + "step": 7613 + }, + { + "epoch": 0.18, + "grad_norm": 1.9196352004901693, + "learning_rate": 1.885248631272088e-05, + "loss": 0.9022, + "step": 7614 + }, + { + "epoch": 0.18, + "grad_norm": 1.7554085039952587, + "learning_rate": 1.8852131382730645e-05, + "loss": 0.9344, + "step": 7615 + }, + { + "epoch": 0.18, + "grad_norm": 1.6697740629341036, + "learning_rate": 1.88517764012005e-05, + "loss": 0.9648, + "step": 7616 + }, + { + "epoch": 0.18, + "grad_norm": 0.775760713653117, + "learning_rate": 1.8851421368132507e-05, + "loss": 0.7256, + "step": 7617 + }, + { + "epoch": 0.18, + "grad_norm": 1.7220039336028397, + "learning_rate": 1.8851066283528738e-05, + "loss": 0.7989, + "step": 7618 + }, + { + "epoch": 0.18, + "grad_norm": 1.6206802967480052, + "learning_rate": 1.8850711147391257e-05, + "loss": 0.9271, + "step": 7619 + }, + { + "epoch": 0.18, + "grad_norm": 0.8159406642493944, + "learning_rate": 1.8850355959722138e-05, + "loss": 0.7829, + "step": 7620 + }, + { + "epoch": 0.18, + "grad_norm": 1.9185050200802523, + "learning_rate": 1.885000072052344e-05, + "loss": 0.7765, + "step": 7621 + }, + { + "epoch": 0.18, + "grad_norm": 1.7849317308781507, + "learning_rate": 1.884964542979724e-05, + "loss": 0.8334, + "step": 7622 + }, + { + "epoch": 0.18, + "grad_norm": 0.8494985577369286, + "learning_rate": 1.88492900875456e-05, + "loss": 0.7401, + "step": 7623 + }, + { + "epoch": 0.18, + "grad_norm": 1.5802749914087533, + "learning_rate": 1.8848934693770594e-05, + "loss": 0.8908, + "step": 7624 + }, + { + "epoch": 0.18, + "grad_norm": 1.9738264393078528, + "learning_rate": 1.8848579248474286e-05, + "loss": 0.9502, + "step": 7625 + }, + { + "epoch": 0.18, + "grad_norm": 1.8300388741094398, + "learning_rate": 1.884822375165875e-05, + "loss": 1.0054, + "step": 7626 + }, + { + "epoch": 0.18, + "grad_norm": 2.699823142309572, + "learning_rate": 1.8847868203326053e-05, + "loss": 0.8683, + "step": 7627 + }, + { + "epoch": 0.18, + "grad_norm": 5.539598301452101, + "learning_rate": 1.8847512603478267e-05, + "loss": 1.047, + "step": 7628 + }, + { + "epoch": 0.18, + "grad_norm": 1.4604730504693948, + "learning_rate": 1.8847156952117462e-05, + "loss": 0.9188, + "step": 7629 + }, + { + "epoch": 0.18, + "grad_norm": 1.694741703546731, + "learning_rate": 1.8846801249245706e-05, + "loss": 0.931, + "step": 7630 + }, + { + "epoch": 0.18, + "grad_norm": 1.5979994200224925, + "learning_rate": 1.8846445494865074e-05, + "loss": 0.9479, + "step": 7631 + }, + { + "epoch": 0.18, + "grad_norm": 1.5624788931262934, + "learning_rate": 1.8846089688977635e-05, + "loss": 0.9868, + "step": 7632 + }, + { + "epoch": 0.18, + "grad_norm": 1.735949912467985, + "learning_rate": 1.884573383158546e-05, + "loss": 0.9257, + "step": 7633 + }, + { + "epoch": 0.18, + "grad_norm": 1.6969306006103109, + "learning_rate": 1.8845377922690623e-05, + "loss": 0.8764, + "step": 7634 + }, + { + "epoch": 0.18, + "grad_norm": 1.8826124050148596, + "learning_rate": 1.88450219622952e-05, + "loss": 0.9253, + "step": 7635 + }, + { + "epoch": 0.18, + "grad_norm": 0.7784429504070333, + "learning_rate": 1.884466595040125e-05, + "loss": 0.7366, + "step": 7636 + }, + { + "epoch": 0.18, + "grad_norm": 1.7304899858576135, + "learning_rate": 1.8844309887010862e-05, + "loss": 0.8748, + "step": 7637 + }, + { + "epoch": 0.18, + "grad_norm": 1.6877136497931429, + "learning_rate": 1.88439537721261e-05, + "loss": 0.9076, + "step": 7638 + }, + { + "epoch": 0.18, + "grad_norm": 1.613834818368463, + "learning_rate": 1.8843597605749035e-05, + "loss": 0.9566, + "step": 7639 + }, + { + "epoch": 0.18, + "grad_norm": 1.8326076365495616, + "learning_rate": 1.884324138788175e-05, + "loss": 0.9539, + "step": 7640 + }, + { + "epoch": 0.18, + "grad_norm": 2.9026784813327917, + "learning_rate": 1.8842885118526314e-05, + "loss": 0.94, + "step": 7641 + }, + { + "epoch": 0.18, + "grad_norm": 1.644142365138203, + "learning_rate": 1.8842528797684795e-05, + "loss": 0.8415, + "step": 7642 + }, + { + "epoch": 0.18, + "grad_norm": 1.45796524633742, + "learning_rate": 1.884217242535928e-05, + "loss": 0.9054, + "step": 7643 + }, + { + "epoch": 0.18, + "grad_norm": 1.7274006751378028, + "learning_rate": 1.8841816001551836e-05, + "loss": 0.813, + "step": 7644 + }, + { + "epoch": 0.18, + "grad_norm": 1.7814457823944392, + "learning_rate": 1.8841459526264542e-05, + "loss": 0.92, + "step": 7645 + }, + { + "epoch": 0.18, + "grad_norm": 1.6368979445246132, + "learning_rate": 1.8841102999499468e-05, + "loss": 0.8611, + "step": 7646 + }, + { + "epoch": 0.18, + "grad_norm": 1.8769761953135589, + "learning_rate": 1.8840746421258694e-05, + "loss": 0.842, + "step": 7647 + }, + { + "epoch": 0.18, + "grad_norm": 1.684206010154245, + "learning_rate": 1.8840389791544297e-05, + "loss": 1.0101, + "step": 7648 + }, + { + "epoch": 0.18, + "grad_norm": 1.759093803236157, + "learning_rate": 1.884003311035835e-05, + "loss": 0.9275, + "step": 7649 + }, + { + "epoch": 0.18, + "grad_norm": 1.8248244280164854, + "learning_rate": 1.8839676377702934e-05, + "loss": 0.8762, + "step": 7650 + }, + { + "epoch": 0.18, + "grad_norm": 1.7770308879441712, + "learning_rate": 1.883931959358012e-05, + "loss": 0.9725, + "step": 7651 + }, + { + "epoch": 0.18, + "grad_norm": 1.707342686190102, + "learning_rate": 1.8838962757991993e-05, + "loss": 0.9487, + "step": 7652 + }, + { + "epoch": 0.18, + "grad_norm": 1.8326903590617074, + "learning_rate": 1.883860587094062e-05, + "loss": 0.9224, + "step": 7653 + }, + { + "epoch": 0.18, + "grad_norm": 1.9658769545286476, + "learning_rate": 1.883824893242809e-05, + "loss": 0.8027, + "step": 7654 + }, + { + "epoch": 0.18, + "grad_norm": 1.7319853434871832, + "learning_rate": 1.8837891942456477e-05, + "loss": 0.888, + "step": 7655 + }, + { + "epoch": 0.18, + "grad_norm": 0.8284271433646954, + "learning_rate": 1.883753490102786e-05, + "loss": 0.7366, + "step": 7656 + }, + { + "epoch": 0.18, + "grad_norm": 1.863353514528936, + "learning_rate": 1.8837177808144313e-05, + "loss": 0.9309, + "step": 7657 + }, + { + "epoch": 0.18, + "grad_norm": 0.8051216563169066, + "learning_rate": 1.8836820663807924e-05, + "loss": 0.7889, + "step": 7658 + }, + { + "epoch": 0.18, + "grad_norm": 1.7022664180869251, + "learning_rate": 1.8836463468020764e-05, + "loss": 0.8076, + "step": 7659 + }, + { + "epoch": 0.18, + "grad_norm": 1.586893425587203, + "learning_rate": 1.8836106220784915e-05, + "loss": 0.831, + "step": 7660 + }, + { + "epoch": 0.18, + "grad_norm": 1.93941054021011, + "learning_rate": 1.883574892210246e-05, + "loss": 0.7935, + "step": 7661 + }, + { + "epoch": 0.18, + "grad_norm": 1.9463984452244103, + "learning_rate": 1.8835391571975475e-05, + "loss": 0.9328, + "step": 7662 + }, + { + "epoch": 0.18, + "grad_norm": 2.63487131689379, + "learning_rate": 1.8835034170406046e-05, + "loss": 0.9458, + "step": 7663 + }, + { + "epoch": 0.18, + "grad_norm": 1.377003302129141, + "learning_rate": 1.883467671739625e-05, + "loss": 0.8732, + "step": 7664 + }, + { + "epoch": 0.18, + "grad_norm": 3.630219776465528, + "learning_rate": 1.8834319212948168e-05, + "loss": 1.1315, + "step": 7665 + }, + { + "epoch": 0.18, + "grad_norm": 1.6507050775079335, + "learning_rate": 1.8833961657063887e-05, + "loss": 0.7941, + "step": 7666 + }, + { + "epoch": 0.18, + "grad_norm": 0.81628854512108, + "learning_rate": 1.883360404974548e-05, + "loss": 0.7368, + "step": 7667 + }, + { + "epoch": 0.18, + "grad_norm": 1.7913216847226459, + "learning_rate": 1.8833246390995034e-05, + "loss": 0.928, + "step": 7668 + }, + { + "epoch": 0.18, + "grad_norm": 1.4088968430056383, + "learning_rate": 1.883288868081463e-05, + "loss": 0.9636, + "step": 7669 + }, + { + "epoch": 0.18, + "grad_norm": 0.7259335694510245, + "learning_rate": 1.8832530919206356e-05, + "loss": 0.7166, + "step": 7670 + }, + { + "epoch": 0.18, + "grad_norm": 1.6922512084271648, + "learning_rate": 1.883217310617229e-05, + "loss": 1.0484, + "step": 7671 + }, + { + "epoch": 0.18, + "grad_norm": 1.8078715429075407, + "learning_rate": 1.883181524171451e-05, + "loss": 0.9314, + "step": 7672 + }, + { + "epoch": 0.18, + "grad_norm": 1.5508213414688397, + "learning_rate": 1.8831457325835113e-05, + "loss": 0.9139, + "step": 7673 + }, + { + "epoch": 0.18, + "grad_norm": 1.5499812141604805, + "learning_rate": 1.8831099358536172e-05, + "loss": 0.8895, + "step": 7674 + }, + { + "epoch": 0.18, + "grad_norm": 1.580296144983423, + "learning_rate": 1.8830741339819774e-05, + "loss": 0.8764, + "step": 7675 + }, + { + "epoch": 0.18, + "grad_norm": 1.696228262081928, + "learning_rate": 1.8830383269688005e-05, + "loss": 0.8287, + "step": 7676 + }, + { + "epoch": 0.18, + "grad_norm": 0.7673259692815749, + "learning_rate": 1.8830025148142948e-05, + "loss": 0.7168, + "step": 7677 + }, + { + "epoch": 0.18, + "grad_norm": 1.5690267744372404, + "learning_rate": 1.882966697518669e-05, + "loss": 1.0086, + "step": 7678 + }, + { + "epoch": 0.18, + "grad_norm": 1.675549279187098, + "learning_rate": 1.882930875082132e-05, + "loss": 0.9705, + "step": 7679 + }, + { + "epoch": 0.18, + "grad_norm": 0.8466259571233602, + "learning_rate": 1.8828950475048913e-05, + "loss": 0.7671, + "step": 7680 + }, + { + "epoch": 0.18, + "grad_norm": 1.4656412674589439, + "learning_rate": 1.8828592147871562e-05, + "loss": 0.9563, + "step": 7681 + }, + { + "epoch": 0.18, + "grad_norm": 1.9138756148361245, + "learning_rate": 1.8828233769291353e-05, + "loss": 0.9175, + "step": 7682 + }, + { + "epoch": 0.18, + "grad_norm": 1.821483551275894, + "learning_rate": 1.8827875339310372e-05, + "loss": 0.9054, + "step": 7683 + }, + { + "epoch": 0.18, + "grad_norm": 1.5964453180508202, + "learning_rate": 1.8827516857930706e-05, + "loss": 0.8804, + "step": 7684 + }, + { + "epoch": 0.18, + "grad_norm": 1.742852497673581, + "learning_rate": 1.882715832515444e-05, + "loss": 0.9254, + "step": 7685 + }, + { + "epoch": 0.18, + "grad_norm": 1.8778599274449026, + "learning_rate": 1.8826799740983665e-05, + "loss": 0.934, + "step": 7686 + }, + { + "epoch": 0.18, + "grad_norm": 1.8005159353045699, + "learning_rate": 1.882644110542047e-05, + "loss": 0.8491, + "step": 7687 + }, + { + "epoch": 0.18, + "grad_norm": 1.9052078862941, + "learning_rate": 1.8826082418466938e-05, + "loss": 0.8854, + "step": 7688 + }, + { + "epoch": 0.18, + "grad_norm": 1.7663413746993952, + "learning_rate": 1.882572368012516e-05, + "loss": 0.9518, + "step": 7689 + }, + { + "epoch": 0.18, + "grad_norm": 1.5563542419011693, + "learning_rate": 1.8825364890397225e-05, + "loss": 0.9417, + "step": 7690 + }, + { + "epoch": 0.18, + "grad_norm": 0.8324453343192032, + "learning_rate": 1.8825006049285225e-05, + "loss": 0.8055, + "step": 7691 + }, + { + "epoch": 0.18, + "grad_norm": 1.5822609581603273, + "learning_rate": 1.882464715679124e-05, + "loss": 0.8764, + "step": 7692 + }, + { + "epoch": 0.18, + "grad_norm": 1.4477761770074526, + "learning_rate": 1.8824288212917367e-05, + "loss": 0.8708, + "step": 7693 + }, + { + "epoch": 0.18, + "grad_norm": 1.8322482788486845, + "learning_rate": 1.8823929217665696e-05, + "loss": 1.0172, + "step": 7694 + }, + { + "epoch": 0.18, + "grad_norm": 1.7711045125784475, + "learning_rate": 1.8823570171038316e-05, + "loss": 0.8398, + "step": 7695 + }, + { + "epoch": 0.18, + "grad_norm": 1.5545848701438707, + "learning_rate": 1.8823211073037316e-05, + "loss": 0.9497, + "step": 7696 + }, + { + "epoch": 0.18, + "grad_norm": 1.8639280388072594, + "learning_rate": 1.8822851923664785e-05, + "loss": 1.0163, + "step": 7697 + }, + { + "epoch": 0.18, + "grad_norm": 0.7845344553565949, + "learning_rate": 1.882249272292282e-05, + "loss": 0.6959, + "step": 7698 + }, + { + "epoch": 0.18, + "grad_norm": 2.052060852249362, + "learning_rate": 1.8822133470813507e-05, + "loss": 0.8309, + "step": 7699 + }, + { + "epoch": 0.18, + "grad_norm": 2.612390413749389, + "learning_rate": 1.8821774167338944e-05, + "loss": 0.9025, + "step": 7700 + }, + { + "epoch": 0.18, + "grad_norm": 2.6152638088565805, + "learning_rate": 1.8821414812501214e-05, + "loss": 0.9513, + "step": 7701 + }, + { + "epoch": 0.18, + "grad_norm": 1.9302794784384838, + "learning_rate": 1.8821055406302418e-05, + "loss": 0.9544, + "step": 7702 + }, + { + "epoch": 0.18, + "grad_norm": 1.6885807922246472, + "learning_rate": 1.882069594874464e-05, + "loss": 0.9664, + "step": 7703 + }, + { + "epoch": 0.18, + "grad_norm": 1.8521364832033946, + "learning_rate": 1.882033643982998e-05, + "loss": 0.9558, + "step": 7704 + }, + { + "epoch": 0.18, + "grad_norm": 1.802449004410757, + "learning_rate": 1.8819976879560534e-05, + "loss": 1.1021, + "step": 7705 + }, + { + "epoch": 0.18, + "grad_norm": 1.9432188334127212, + "learning_rate": 1.8819617267938383e-05, + "loss": 0.9714, + "step": 7706 + }, + { + "epoch": 0.18, + "grad_norm": 1.6153205071990901, + "learning_rate": 1.881925760496563e-05, + "loss": 0.8955, + "step": 7707 + }, + { + "epoch": 0.18, + "grad_norm": 1.6470555669983287, + "learning_rate": 1.881889789064437e-05, + "loss": 0.8177, + "step": 7708 + }, + { + "epoch": 0.18, + "grad_norm": 1.5616422571871371, + "learning_rate": 1.881853812497669e-05, + "loss": 1.0008, + "step": 7709 + }, + { + "epoch": 0.18, + "grad_norm": 1.8208858567010335, + "learning_rate": 1.881817830796469e-05, + "loss": 0.8357, + "step": 7710 + }, + { + "epoch": 0.18, + "grad_norm": 2.0961855842579236, + "learning_rate": 1.8817818439610466e-05, + "loss": 0.8413, + "step": 7711 + }, + { + "epoch": 0.18, + "grad_norm": 1.5735847990195655, + "learning_rate": 1.8817458519916113e-05, + "loss": 0.9244, + "step": 7712 + }, + { + "epoch": 0.18, + "grad_norm": 1.9096542068398645, + "learning_rate": 1.881709854888372e-05, + "loss": 0.8567, + "step": 7713 + }, + { + "epoch": 0.18, + "grad_norm": 2.754507717500303, + "learning_rate": 1.881673852651539e-05, + "loss": 0.9239, + "step": 7714 + }, + { + "epoch": 0.18, + "grad_norm": 1.6660768709658798, + "learning_rate": 1.881637845281322e-05, + "loss": 0.9635, + "step": 7715 + }, + { + "epoch": 0.18, + "grad_norm": 1.5263990871683184, + "learning_rate": 1.88160183277793e-05, + "loss": 0.898, + "step": 7716 + }, + { + "epoch": 0.18, + "grad_norm": 1.8001697651122368, + "learning_rate": 1.8815658151415734e-05, + "loss": 0.9169, + "step": 7717 + }, + { + "epoch": 0.18, + "grad_norm": 1.608612264395177, + "learning_rate": 1.8815297923724612e-05, + "loss": 0.9533, + "step": 7718 + }, + { + "epoch": 0.18, + "grad_norm": 1.5168614682365753, + "learning_rate": 1.8814937644708035e-05, + "loss": 0.893, + "step": 7719 + }, + { + "epoch": 0.18, + "grad_norm": 2.3344589738334154, + "learning_rate": 1.8814577314368098e-05, + "loss": 0.8292, + "step": 7720 + }, + { + "epoch": 0.18, + "grad_norm": 1.5843371747392239, + "learning_rate": 1.8814216932706905e-05, + "loss": 0.9443, + "step": 7721 + }, + { + "epoch": 0.18, + "grad_norm": 1.7086683829779898, + "learning_rate": 1.8813856499726548e-05, + "loss": 0.8389, + "step": 7722 + }, + { + "epoch": 0.18, + "grad_norm": 1.590111430377693, + "learning_rate": 1.881349601542913e-05, + "loss": 0.9432, + "step": 7723 + }, + { + "epoch": 0.18, + "grad_norm": 1.5283124206913552, + "learning_rate": 1.8813135479816748e-05, + "loss": 0.9329, + "step": 7724 + }, + { + "epoch": 0.18, + "grad_norm": 2.1205443514788844, + "learning_rate": 1.88127748928915e-05, + "loss": 0.9143, + "step": 7725 + }, + { + "epoch": 0.18, + "grad_norm": 1.8974848981244878, + "learning_rate": 1.8812414254655483e-05, + "loss": 0.8304, + "step": 7726 + }, + { + "epoch": 0.18, + "grad_norm": 1.9234297468799426, + "learning_rate": 1.8812053565110804e-05, + "loss": 0.7813, + "step": 7727 + }, + { + "epoch": 0.18, + "grad_norm": 0.88793653657333, + "learning_rate": 1.881169282425956e-05, + "loss": 0.7113, + "step": 7728 + }, + { + "epoch": 0.18, + "grad_norm": 1.675936901152177, + "learning_rate": 1.881133203210385e-05, + "loss": 0.8219, + "step": 7729 + }, + { + "epoch": 0.18, + "grad_norm": 1.7130873920443523, + "learning_rate": 1.8810971188645775e-05, + "loss": 0.9708, + "step": 7730 + }, + { + "epoch": 0.18, + "grad_norm": 1.6309224276788759, + "learning_rate": 1.8810610293887435e-05, + "loss": 0.9548, + "step": 7731 + }, + { + "epoch": 0.18, + "grad_norm": 1.7418016226852808, + "learning_rate": 1.8810249347830935e-05, + "loss": 0.8636, + "step": 7732 + }, + { + "epoch": 0.18, + "grad_norm": 1.6169816400972101, + "learning_rate": 1.8809888350478372e-05, + "loss": 0.847, + "step": 7733 + }, + { + "epoch": 0.18, + "grad_norm": 1.96318164965918, + "learning_rate": 1.880952730183185e-05, + "loss": 0.8125, + "step": 7734 + }, + { + "epoch": 0.18, + "grad_norm": 1.6319228097421405, + "learning_rate": 1.880916620189347e-05, + "loss": 0.9792, + "step": 7735 + }, + { + "epoch": 0.18, + "grad_norm": 1.5628768593084905, + "learning_rate": 1.880880505066534e-05, + "loss": 0.9607, + "step": 7736 + }, + { + "epoch": 0.18, + "grad_norm": 1.5755214838838252, + "learning_rate": 1.8808443848149556e-05, + "loss": 0.9972, + "step": 7737 + }, + { + "epoch": 0.18, + "grad_norm": 1.8134536956132188, + "learning_rate": 1.880808259434822e-05, + "loss": 1.0507, + "step": 7738 + }, + { + "epoch": 0.18, + "grad_norm": 1.833932805212274, + "learning_rate": 1.8807721289263442e-05, + "loss": 0.8437, + "step": 7739 + }, + { + "epoch": 0.18, + "grad_norm": 1.663197089763118, + "learning_rate": 1.880735993289732e-05, + "loss": 0.8892, + "step": 7740 + }, + { + "epoch": 0.18, + "grad_norm": 1.8928763275496523, + "learning_rate": 1.8806998525251964e-05, + "loss": 1.0175, + "step": 7741 + }, + { + "epoch": 0.18, + "grad_norm": 2.55177218574437, + "learning_rate": 1.880663706632947e-05, + "loss": 0.8573, + "step": 7742 + }, + { + "epoch": 0.18, + "grad_norm": 2.004744830446127, + "learning_rate": 1.8806275556131948e-05, + "loss": 1.0821, + "step": 7743 + }, + { + "epoch": 0.18, + "grad_norm": 1.9142280600067576, + "learning_rate": 1.88059139946615e-05, + "loss": 0.7294, + "step": 7744 + }, + { + "epoch": 0.18, + "grad_norm": 1.8511436731782906, + "learning_rate": 1.8805552381920238e-05, + "loss": 0.8602, + "step": 7745 + }, + { + "epoch": 0.18, + "grad_norm": 1.5654474169183175, + "learning_rate": 1.880519071791026e-05, + "loss": 0.8914, + "step": 7746 + }, + { + "epoch": 0.18, + "grad_norm": 1.6472832964710726, + "learning_rate": 1.8804829002633672e-05, + "loss": 0.986, + "step": 7747 + }, + { + "epoch": 0.18, + "grad_norm": 1.8100269108464775, + "learning_rate": 1.8804467236092584e-05, + "loss": 0.831, + "step": 7748 + }, + { + "epoch": 0.18, + "grad_norm": 1.7033849062838602, + "learning_rate": 1.8804105418289097e-05, + "loss": 0.9302, + "step": 7749 + }, + { + "epoch": 0.18, + "grad_norm": 1.5826296724053037, + "learning_rate": 1.8803743549225323e-05, + "loss": 0.887, + "step": 7750 + }, + { + "epoch": 0.18, + "grad_norm": 1.5709606322549625, + "learning_rate": 1.880338162890337e-05, + "loss": 0.9348, + "step": 7751 + }, + { + "epoch": 0.18, + "grad_norm": 0.7740812050992847, + "learning_rate": 1.8803019657325338e-05, + "loss": 0.7694, + "step": 7752 + }, + { + "epoch": 0.18, + "grad_norm": 2.208607510325065, + "learning_rate": 1.880265763449334e-05, + "loss": 1.0393, + "step": 7753 + }, + { + "epoch": 0.18, + "grad_norm": 1.6438536772931849, + "learning_rate": 1.880229556040948e-05, + "loss": 0.9528, + "step": 7754 + }, + { + "epoch": 0.18, + "grad_norm": 0.825306315528404, + "learning_rate": 1.8801933435075872e-05, + "loss": 0.7605, + "step": 7755 + }, + { + "epoch": 0.18, + "grad_norm": 1.7909649607415932, + "learning_rate": 1.880157125849462e-05, + "loss": 1.0282, + "step": 7756 + }, + { + "epoch": 0.18, + "grad_norm": 0.7552753093702205, + "learning_rate": 1.8801209030667834e-05, + "loss": 0.7386, + "step": 7757 + }, + { + "epoch": 0.18, + "grad_norm": 1.6334089700222887, + "learning_rate": 1.880084675159762e-05, + "loss": 1.0153, + "step": 7758 + }, + { + "epoch": 0.18, + "grad_norm": 1.712271137631986, + "learning_rate": 1.8800484421286094e-05, + "loss": 1.043, + "step": 7759 + }, + { + "epoch": 0.18, + "grad_norm": 4.823043619716354, + "learning_rate": 1.880012203973536e-05, + "loss": 0.9891, + "step": 7760 + }, + { + "epoch": 0.18, + "grad_norm": 1.7178413564463098, + "learning_rate": 1.8799759606947527e-05, + "loss": 0.9386, + "step": 7761 + }, + { + "epoch": 0.18, + "grad_norm": 1.6007508341473262, + "learning_rate": 1.8799397122924708e-05, + "loss": 0.9169, + "step": 7762 + }, + { + "epoch": 0.18, + "grad_norm": 1.525393853053641, + "learning_rate": 1.8799034587669016e-05, + "loss": 1.0138, + "step": 7763 + }, + { + "epoch": 0.18, + "grad_norm": 0.8206262751015584, + "learning_rate": 1.8798672001182553e-05, + "loss": 0.7742, + "step": 7764 + }, + { + "epoch": 0.18, + "grad_norm": 1.6539995788112873, + "learning_rate": 1.8798309363467446e-05, + "loss": 0.8978, + "step": 7765 + }, + { + "epoch": 0.18, + "grad_norm": 1.4393748168837401, + "learning_rate": 1.8797946674525788e-05, + "loss": 0.9166, + "step": 7766 + }, + { + "epoch": 0.18, + "grad_norm": 1.6206897654480408, + "learning_rate": 1.87975839343597e-05, + "loss": 0.9102, + "step": 7767 + }, + { + "epoch": 0.18, + "grad_norm": 1.6399684889572086, + "learning_rate": 1.8797221142971295e-05, + "loss": 0.9735, + "step": 7768 + }, + { + "epoch": 0.18, + "grad_norm": 1.7832212732815802, + "learning_rate": 1.8796858300362682e-05, + "loss": 0.8702, + "step": 7769 + }, + { + "epoch": 0.18, + "grad_norm": 3.403153393303939, + "learning_rate": 1.879649540653598e-05, + "loss": 0.8391, + "step": 7770 + }, + { + "epoch": 0.18, + "grad_norm": 1.6235987925785593, + "learning_rate": 1.879613246149329e-05, + "loss": 1.0077, + "step": 7771 + }, + { + "epoch": 0.18, + "grad_norm": 1.9882540232842567, + "learning_rate": 1.8795769465236735e-05, + "loss": 0.9009, + "step": 7772 + }, + { + "epoch": 0.18, + "grad_norm": 1.792132418327229, + "learning_rate": 1.8795406417768426e-05, + "loss": 1.0522, + "step": 7773 + }, + { + "epoch": 0.18, + "grad_norm": 0.7836031425838775, + "learning_rate": 1.8795043319090477e-05, + "loss": 0.7981, + "step": 7774 + }, + { + "epoch": 0.18, + "grad_norm": 1.7252404954404177, + "learning_rate": 1.8794680169205e-05, + "loss": 0.8656, + "step": 7775 + }, + { + "epoch": 0.18, + "grad_norm": 1.7741809132097595, + "learning_rate": 1.879431696811411e-05, + "loss": 0.8454, + "step": 7776 + }, + { + "epoch": 0.18, + "grad_norm": 1.487966281157323, + "learning_rate": 1.8793953715819922e-05, + "loss": 0.8474, + "step": 7777 + }, + { + "epoch": 0.18, + "grad_norm": 2.0333973958274116, + "learning_rate": 1.8793590412324555e-05, + "loss": 0.8932, + "step": 7778 + }, + { + "epoch": 0.18, + "grad_norm": 1.5511762979097539, + "learning_rate": 1.8793227057630115e-05, + "loss": 0.8078, + "step": 7779 + }, + { + "epoch": 0.18, + "grad_norm": 1.6852168892044819, + "learning_rate": 1.8792863651738727e-05, + "loss": 1.0246, + "step": 7780 + }, + { + "epoch": 0.18, + "grad_norm": 1.9769065215587054, + "learning_rate": 1.8792500194652505e-05, + "loss": 0.8658, + "step": 7781 + }, + { + "epoch": 0.18, + "grad_norm": 1.8480099811891029, + "learning_rate": 1.879213668637356e-05, + "loss": 0.9575, + "step": 7782 + }, + { + "epoch": 0.18, + "grad_norm": 1.7970685196411424, + "learning_rate": 1.879177312690401e-05, + "loss": 0.8249, + "step": 7783 + }, + { + "epoch": 0.18, + "grad_norm": 1.8984983436242213, + "learning_rate": 1.8791409516245974e-05, + "loss": 1.0446, + "step": 7784 + }, + { + "epoch": 0.18, + "grad_norm": 2.72255793690541, + "learning_rate": 1.879104585440157e-05, + "loss": 0.8185, + "step": 7785 + }, + { + "epoch": 0.18, + "grad_norm": 1.6414620272022964, + "learning_rate": 1.8790682141372913e-05, + "loss": 0.9561, + "step": 7786 + }, + { + "epoch": 0.18, + "grad_norm": 1.5464529709329564, + "learning_rate": 1.8790318377162126e-05, + "loss": 0.8332, + "step": 7787 + }, + { + "epoch": 0.18, + "grad_norm": 1.725082410485334, + "learning_rate": 1.8789954561771314e-05, + "loss": 0.8121, + "step": 7788 + }, + { + "epoch": 0.18, + "grad_norm": 1.5968340927383426, + "learning_rate": 1.878959069520261e-05, + "loss": 0.8552, + "step": 7789 + }, + { + "epoch": 0.18, + "grad_norm": 1.7736796150996699, + "learning_rate": 1.8789226777458126e-05, + "loss": 0.8888, + "step": 7790 + }, + { + "epoch": 0.18, + "grad_norm": 2.111692749438293, + "learning_rate": 1.878886280853998e-05, + "loss": 0.8403, + "step": 7791 + }, + { + "epoch": 0.18, + "grad_norm": 2.1556953990640046, + "learning_rate": 1.878849878845029e-05, + "loss": 0.9033, + "step": 7792 + }, + { + "epoch": 0.18, + "grad_norm": 2.049096737443023, + "learning_rate": 1.8788134717191182e-05, + "loss": 0.9068, + "step": 7793 + }, + { + "epoch": 0.18, + "grad_norm": 1.698950490521332, + "learning_rate": 1.8787770594764768e-05, + "loss": 0.8443, + "step": 7794 + }, + { + "epoch": 0.18, + "grad_norm": 1.8368630226758196, + "learning_rate": 1.8787406421173173e-05, + "loss": 0.9166, + "step": 7795 + }, + { + "epoch": 0.18, + "grad_norm": 1.7486254150266534, + "learning_rate": 1.8787042196418514e-05, + "loss": 0.9297, + "step": 7796 + }, + { + "epoch": 0.18, + "grad_norm": 1.7263955929768164, + "learning_rate": 1.8786677920502913e-05, + "loss": 0.9784, + "step": 7797 + }, + { + "epoch": 0.18, + "grad_norm": 1.6307086839804974, + "learning_rate": 1.8786313593428493e-05, + "loss": 0.9058, + "step": 7798 + }, + { + "epoch": 0.18, + "grad_norm": 1.8388879945470984, + "learning_rate": 1.8785949215197377e-05, + "loss": 1.0075, + "step": 7799 + }, + { + "epoch": 0.18, + "grad_norm": 1.5420573466646124, + "learning_rate": 1.8785584785811677e-05, + "loss": 0.8735, + "step": 7800 + }, + { + "epoch": 0.18, + "grad_norm": 1.5602071258939898, + "learning_rate": 1.8785220305273526e-05, + "loss": 0.9417, + "step": 7801 + }, + { + "epoch": 0.18, + "grad_norm": 1.7713736136705525, + "learning_rate": 1.8784855773585037e-05, + "loss": 0.9488, + "step": 7802 + }, + { + "epoch": 0.18, + "grad_norm": 1.646151656767299, + "learning_rate": 1.8784491190748338e-05, + "loss": 0.8176, + "step": 7803 + }, + { + "epoch": 0.18, + "grad_norm": 1.8436959252766123, + "learning_rate": 1.878412655676555e-05, + "loss": 0.8434, + "step": 7804 + }, + { + "epoch": 0.18, + "grad_norm": 1.4726617282416448, + "learning_rate": 1.8783761871638798e-05, + "loss": 0.979, + "step": 7805 + }, + { + "epoch": 0.18, + "grad_norm": 1.7432371208030333, + "learning_rate": 1.87833971353702e-05, + "loss": 0.9415, + "step": 7806 + }, + { + "epoch": 0.18, + "grad_norm": 0.7792296658668217, + "learning_rate": 1.8783032347961884e-05, + "loss": 0.6903, + "step": 7807 + }, + { + "epoch": 0.18, + "grad_norm": 1.732022714449328, + "learning_rate": 1.8782667509415974e-05, + "loss": 0.9611, + "step": 7808 + }, + { + "epoch": 0.18, + "grad_norm": 1.7992155961687337, + "learning_rate": 1.8782302619734594e-05, + "loss": 0.8855, + "step": 7809 + }, + { + "epoch": 0.18, + "grad_norm": 1.6419222195780563, + "learning_rate": 1.8781937678919867e-05, + "loss": 0.9322, + "step": 7810 + }, + { + "epoch": 0.18, + "grad_norm": 2.5648381843144845, + "learning_rate": 1.878157268697392e-05, + "loss": 0.9144, + "step": 7811 + }, + { + "epoch": 0.18, + "grad_norm": 0.7572712419720186, + "learning_rate": 1.8781207643898873e-05, + "loss": 0.7692, + "step": 7812 + }, + { + "epoch": 0.18, + "grad_norm": 1.8471907501728007, + "learning_rate": 1.8780842549696857e-05, + "loss": 0.827, + "step": 7813 + }, + { + "epoch": 0.18, + "grad_norm": 1.9621558953107063, + "learning_rate": 1.8780477404369996e-05, + "loss": 0.8085, + "step": 7814 + }, + { + "epoch": 0.18, + "grad_norm": 1.5495643793352887, + "learning_rate": 1.8780112207920415e-05, + "loss": 0.9389, + "step": 7815 + }, + { + "epoch": 0.18, + "grad_norm": 1.5319939906036848, + "learning_rate": 1.8779746960350243e-05, + "loss": 0.7375, + "step": 7816 + }, + { + "epoch": 0.18, + "grad_norm": 1.5308874831867232, + "learning_rate": 1.8779381661661603e-05, + "loss": 0.9844, + "step": 7817 + }, + { + "epoch": 0.18, + "grad_norm": 1.5890036132678644, + "learning_rate": 1.877901631185662e-05, + "loss": 0.8706, + "step": 7818 + }, + { + "epoch": 0.18, + "grad_norm": 2.1328958217904517, + "learning_rate": 1.877865091093743e-05, + "loss": 1.0791, + "step": 7819 + }, + { + "epoch": 0.18, + "grad_norm": 1.6230388813411543, + "learning_rate": 1.8778285458906152e-05, + "loss": 0.9412, + "step": 7820 + }, + { + "epoch": 0.18, + "grad_norm": 1.542006588447183, + "learning_rate": 1.8777919955764917e-05, + "loss": 0.9522, + "step": 7821 + }, + { + "epoch": 0.18, + "grad_norm": 2.0325356047523573, + "learning_rate": 1.8777554401515855e-05, + "loss": 0.9087, + "step": 7822 + }, + { + "epoch": 0.18, + "grad_norm": 1.6277774203138227, + "learning_rate": 1.877718879616109e-05, + "loss": 0.8544, + "step": 7823 + }, + { + "epoch": 0.18, + "grad_norm": 1.5755056069987392, + "learning_rate": 1.877682313970276e-05, + "loss": 0.9562, + "step": 7824 + }, + { + "epoch": 0.18, + "grad_norm": 1.6211533992382683, + "learning_rate": 1.877645743214298e-05, + "loss": 0.9439, + "step": 7825 + }, + { + "epoch": 0.18, + "grad_norm": 1.6439200368055948, + "learning_rate": 1.8776091673483886e-05, + "loss": 0.9947, + "step": 7826 + }, + { + "epoch": 0.18, + "grad_norm": 1.8436145485205033, + "learning_rate": 1.877572586372761e-05, + "loss": 0.8648, + "step": 7827 + }, + { + "epoch": 0.18, + "grad_norm": 1.8047950374442585, + "learning_rate": 1.877536000287628e-05, + "loss": 0.8611, + "step": 7828 + }, + { + "epoch": 0.18, + "grad_norm": 2.289797592903806, + "learning_rate": 1.8774994090932025e-05, + "loss": 0.9598, + "step": 7829 + }, + { + "epoch": 0.18, + "grad_norm": 1.7137104420394536, + "learning_rate": 1.8774628127896976e-05, + "loss": 0.8632, + "step": 7830 + }, + { + "epoch": 0.18, + "grad_norm": 1.6734487421189523, + "learning_rate": 1.8774262113773262e-05, + "loss": 0.8031, + "step": 7831 + }, + { + "epoch": 0.18, + "grad_norm": 1.6977171734145837, + "learning_rate": 1.877389604856302e-05, + "loss": 0.9029, + "step": 7832 + }, + { + "epoch": 0.18, + "grad_norm": 1.5850691846524614, + "learning_rate": 1.8773529932268374e-05, + "loss": 0.8694, + "step": 7833 + }, + { + "epoch": 0.18, + "grad_norm": 2.6491023930331012, + "learning_rate": 1.8773163764891464e-05, + "loss": 0.9867, + "step": 7834 + }, + { + "epoch": 0.18, + "grad_norm": 2.3202160603647988, + "learning_rate": 1.8772797546434415e-05, + "loss": 0.9214, + "step": 7835 + }, + { + "epoch": 0.18, + "grad_norm": 1.8536819344392335, + "learning_rate": 1.8772431276899358e-05, + "loss": 0.8429, + "step": 7836 + }, + { + "epoch": 0.18, + "grad_norm": 1.6968894127844045, + "learning_rate": 1.877206495628843e-05, + "loss": 0.9901, + "step": 7837 + }, + { + "epoch": 0.18, + "grad_norm": 1.6193354802357607, + "learning_rate": 1.8771698584603766e-05, + "loss": 0.9569, + "step": 7838 + }, + { + "epoch": 0.18, + "grad_norm": 1.4906941496509665, + "learning_rate": 1.8771332161847493e-05, + "loss": 0.8723, + "step": 7839 + }, + { + "epoch": 0.18, + "grad_norm": 0.7722849892473272, + "learning_rate": 1.8770965688021747e-05, + "loss": 0.7249, + "step": 7840 + }, + { + "epoch": 0.18, + "grad_norm": 1.9078922015978268, + "learning_rate": 1.8770599163128663e-05, + "loss": 0.9206, + "step": 7841 + }, + { + "epoch": 0.18, + "grad_norm": 1.981969822000119, + "learning_rate": 1.8770232587170374e-05, + "loss": 0.9709, + "step": 7842 + }, + { + "epoch": 0.18, + "grad_norm": 1.9717725588258361, + "learning_rate": 1.8769865960149012e-05, + "loss": 0.8776, + "step": 7843 + }, + { + "epoch": 0.18, + "grad_norm": 1.8253174408027601, + "learning_rate": 1.8769499282066716e-05, + "loss": 0.9314, + "step": 7844 + }, + { + "epoch": 0.18, + "grad_norm": 1.8033218942037434, + "learning_rate": 1.876913255292562e-05, + "loss": 0.859, + "step": 7845 + }, + { + "epoch": 0.18, + "grad_norm": 1.7412767774412727, + "learning_rate": 1.8768765772727856e-05, + "loss": 0.9515, + "step": 7846 + }, + { + "epoch": 0.18, + "grad_norm": 1.6086905139284549, + "learning_rate": 1.876839894147556e-05, + "loss": 0.8757, + "step": 7847 + }, + { + "epoch": 0.18, + "grad_norm": 1.449352033050925, + "learning_rate": 1.8768032059170874e-05, + "loss": 0.9779, + "step": 7848 + }, + { + "epoch": 0.18, + "grad_norm": 1.74211690167898, + "learning_rate": 1.8767665125815927e-05, + "loss": 1.0102, + "step": 7849 + }, + { + "epoch": 0.18, + "grad_norm": 1.638534439219203, + "learning_rate": 1.876729814141286e-05, + "loss": 0.8625, + "step": 7850 + }, + { + "epoch": 0.18, + "grad_norm": 1.818571645720796, + "learning_rate": 1.87669311059638e-05, + "loss": 0.8938, + "step": 7851 + }, + { + "epoch": 0.18, + "grad_norm": 3.2224571651859715, + "learning_rate": 1.8766564019470898e-05, + "loss": 1.0648, + "step": 7852 + }, + { + "epoch": 0.19, + "grad_norm": 1.764506156417045, + "learning_rate": 1.8766196881936284e-05, + "loss": 0.7904, + "step": 7853 + }, + { + "epoch": 0.19, + "grad_norm": 1.8287071561877388, + "learning_rate": 1.8765829693362097e-05, + "loss": 0.7513, + "step": 7854 + }, + { + "epoch": 0.19, + "grad_norm": 1.4618092922946988, + "learning_rate": 1.8765462453750472e-05, + "loss": 0.9935, + "step": 7855 + }, + { + "epoch": 0.19, + "grad_norm": 1.7150910409884859, + "learning_rate": 1.876509516310355e-05, + "loss": 0.8969, + "step": 7856 + }, + { + "epoch": 0.19, + "grad_norm": 0.754556594746707, + "learning_rate": 1.8764727821423473e-05, + "loss": 0.7353, + "step": 7857 + }, + { + "epoch": 0.19, + "grad_norm": 1.5068511916536218, + "learning_rate": 1.876436042871237e-05, + "loss": 0.9018, + "step": 7858 + }, + { + "epoch": 0.19, + "grad_norm": 1.6120003603157063, + "learning_rate": 1.8763992984972388e-05, + "loss": 0.8326, + "step": 7859 + }, + { + "epoch": 0.19, + "grad_norm": 1.5761604873326804, + "learning_rate": 1.8763625490205664e-05, + "loss": 0.7865, + "step": 7860 + }, + { + "epoch": 0.19, + "grad_norm": 1.5844935340674078, + "learning_rate": 1.876325794441434e-05, + "loss": 0.8923, + "step": 7861 + }, + { + "epoch": 0.19, + "grad_norm": 1.6468021300371156, + "learning_rate": 1.876289034760055e-05, + "loss": 0.8968, + "step": 7862 + }, + { + "epoch": 0.19, + "grad_norm": 1.7134635694901572, + "learning_rate": 1.8762522699766443e-05, + "loss": 0.8413, + "step": 7863 + }, + { + "epoch": 0.19, + "grad_norm": 1.83391841503783, + "learning_rate": 1.876215500091415e-05, + "loss": 0.8566, + "step": 7864 + }, + { + "epoch": 0.19, + "grad_norm": 0.7283400360812213, + "learning_rate": 1.876178725104582e-05, + "loss": 0.7477, + "step": 7865 + }, + { + "epoch": 0.19, + "grad_norm": 0.808038079341751, + "learning_rate": 1.8761419450163586e-05, + "loss": 0.785, + "step": 7866 + }, + { + "epoch": 0.19, + "grad_norm": 1.8525340115886035, + "learning_rate": 1.87610515982696e-05, + "loss": 0.8559, + "step": 7867 + }, + { + "epoch": 0.19, + "grad_norm": 1.5784489874398995, + "learning_rate": 1.8760683695365994e-05, + "loss": 0.8096, + "step": 7868 + }, + { + "epoch": 0.19, + "grad_norm": 1.654175986540167, + "learning_rate": 1.8760315741454917e-05, + "loss": 0.9429, + "step": 7869 + }, + { + "epoch": 0.19, + "grad_norm": 1.6231229309144686, + "learning_rate": 1.8759947736538507e-05, + "loss": 0.8462, + "step": 7870 + }, + { + "epoch": 0.19, + "grad_norm": 2.009245802781256, + "learning_rate": 1.8759579680618907e-05, + "loss": 1.0377, + "step": 7871 + }, + { + "epoch": 0.19, + "grad_norm": 1.7018480684076867, + "learning_rate": 1.8759211573698263e-05, + "loss": 0.9735, + "step": 7872 + }, + { + "epoch": 0.19, + "grad_norm": 1.503917927568943, + "learning_rate": 1.875884341577871e-05, + "loss": 0.9745, + "step": 7873 + }, + { + "epoch": 0.19, + "grad_norm": 1.5345495339609168, + "learning_rate": 1.87584752068624e-05, + "loss": 0.9307, + "step": 7874 + }, + { + "epoch": 0.19, + "grad_norm": 1.5974099506523627, + "learning_rate": 1.8758106946951484e-05, + "loss": 0.98, + "step": 7875 + }, + { + "epoch": 0.19, + "grad_norm": 1.7881326778847126, + "learning_rate": 1.8757738636048088e-05, + "loss": 0.9573, + "step": 7876 + }, + { + "epoch": 0.19, + "grad_norm": 1.6635896911830892, + "learning_rate": 1.8757370274154362e-05, + "loss": 0.8645, + "step": 7877 + }, + { + "epoch": 0.19, + "grad_norm": 1.7936593235230753, + "learning_rate": 1.875700186127246e-05, + "loss": 0.9717, + "step": 7878 + }, + { + "epoch": 0.19, + "grad_norm": 1.577083427920682, + "learning_rate": 1.8756633397404518e-05, + "loss": 0.8622, + "step": 7879 + }, + { + "epoch": 0.19, + "grad_norm": 1.9306249507238034, + "learning_rate": 1.8756264882552685e-05, + "loss": 0.87, + "step": 7880 + }, + { + "epoch": 0.19, + "grad_norm": 1.9562979287663531, + "learning_rate": 1.8755896316719104e-05, + "loss": 0.908, + "step": 7881 + }, + { + "epoch": 0.19, + "grad_norm": 1.5591614401244853, + "learning_rate": 1.8755527699905927e-05, + "loss": 0.9319, + "step": 7882 + }, + { + "epoch": 0.19, + "grad_norm": 0.8859721086322304, + "learning_rate": 1.8755159032115292e-05, + "loss": 0.7482, + "step": 7883 + }, + { + "epoch": 0.19, + "grad_norm": 1.517422041789149, + "learning_rate": 1.8754790313349347e-05, + "loss": 0.8349, + "step": 7884 + }, + { + "epoch": 0.19, + "grad_norm": 1.6746852014002969, + "learning_rate": 1.8754421543610247e-05, + "loss": 0.8742, + "step": 7885 + }, + { + "epoch": 0.19, + "grad_norm": 1.6163285444938573, + "learning_rate": 1.875405272290013e-05, + "loss": 0.8454, + "step": 7886 + }, + { + "epoch": 0.19, + "grad_norm": 2.4635776207351454, + "learning_rate": 1.8753683851221146e-05, + "loss": 0.8661, + "step": 7887 + }, + { + "epoch": 0.19, + "grad_norm": 1.4382468473610774, + "learning_rate": 1.8753314928575444e-05, + "loss": 0.8238, + "step": 7888 + }, + { + "epoch": 0.19, + "grad_norm": 1.6793733936407178, + "learning_rate": 1.875294595496517e-05, + "loss": 0.9363, + "step": 7889 + }, + { + "epoch": 0.19, + "grad_norm": 0.8482515185455236, + "learning_rate": 1.8752576930392473e-05, + "loss": 0.696, + "step": 7890 + }, + { + "epoch": 0.19, + "grad_norm": 1.7552564837394504, + "learning_rate": 1.8752207854859507e-05, + "loss": 0.9773, + "step": 7891 + }, + { + "epoch": 0.19, + "grad_norm": 1.7407044508063598, + "learning_rate": 1.875183872836841e-05, + "loss": 0.8918, + "step": 7892 + }, + { + "epoch": 0.19, + "grad_norm": 1.883404481513779, + "learning_rate": 1.8751469550921342e-05, + "loss": 0.9161, + "step": 7893 + }, + { + "epoch": 0.19, + "grad_norm": 2.866056887064672, + "learning_rate": 1.8751100322520447e-05, + "loss": 0.8964, + "step": 7894 + }, + { + "epoch": 0.19, + "grad_norm": 0.808871649358013, + "learning_rate": 1.8750731043167873e-05, + "loss": 0.7622, + "step": 7895 + }, + { + "epoch": 0.19, + "grad_norm": 1.7515282788260063, + "learning_rate": 1.8750361712865774e-05, + "loss": 0.8522, + "step": 7896 + }, + { + "epoch": 0.19, + "grad_norm": 2.5473166168408956, + "learning_rate": 1.8749992331616296e-05, + "loss": 0.906, + "step": 7897 + }, + { + "epoch": 0.19, + "grad_norm": 1.8934158650225843, + "learning_rate": 1.8749622899421597e-05, + "loss": 0.8287, + "step": 7898 + }, + { + "epoch": 0.19, + "grad_norm": 1.6776843715436451, + "learning_rate": 1.874925341628382e-05, + "loss": 0.9501, + "step": 7899 + }, + { + "epoch": 0.19, + "grad_norm": 1.6976507400922993, + "learning_rate": 1.874888388220512e-05, + "loss": 0.8916, + "step": 7900 + }, + { + "epoch": 0.19, + "grad_norm": 1.9379094574976206, + "learning_rate": 1.874851429718765e-05, + "loss": 0.9967, + "step": 7901 + }, + { + "epoch": 0.19, + "grad_norm": 1.5954174556048286, + "learning_rate": 1.8748144661233558e-05, + "loss": 0.772, + "step": 7902 + }, + { + "epoch": 0.19, + "grad_norm": 1.6516433396588783, + "learning_rate": 1.8747774974345e-05, + "loss": 0.8623, + "step": 7903 + }, + { + "epoch": 0.19, + "grad_norm": 1.7162406836052893, + "learning_rate": 1.8747405236524125e-05, + "loss": 1.0677, + "step": 7904 + }, + { + "epoch": 0.19, + "grad_norm": 1.7361261200475453, + "learning_rate": 1.8747035447773086e-05, + "loss": 0.8129, + "step": 7905 + }, + { + "epoch": 0.19, + "grad_norm": 1.5840604204147142, + "learning_rate": 1.874666560809404e-05, + "loss": 1.0064, + "step": 7906 + }, + { + "epoch": 0.19, + "grad_norm": 1.6305034795558888, + "learning_rate": 1.8746295717489138e-05, + "loss": 0.8402, + "step": 7907 + }, + { + "epoch": 0.19, + "grad_norm": 1.5540978738235651, + "learning_rate": 1.874592577596053e-05, + "loss": 0.8855, + "step": 7908 + }, + { + "epoch": 0.19, + "grad_norm": 1.5738855997330974, + "learning_rate": 1.8745555783510378e-05, + "loss": 0.9118, + "step": 7909 + }, + { + "epoch": 0.19, + "grad_norm": 1.6575600540756132, + "learning_rate": 1.874518574014083e-05, + "loss": 0.9472, + "step": 7910 + }, + { + "epoch": 0.19, + "grad_norm": 1.4737068123957133, + "learning_rate": 1.874481564585404e-05, + "loss": 0.8323, + "step": 7911 + }, + { + "epoch": 0.19, + "grad_norm": 1.5803572626023705, + "learning_rate": 1.8744445500652165e-05, + "loss": 0.9409, + "step": 7912 + }, + { + "epoch": 0.19, + "grad_norm": 1.6463486737422177, + "learning_rate": 1.8744075304537358e-05, + "loss": 0.9288, + "step": 7913 + }, + { + "epoch": 0.19, + "grad_norm": 1.534663973906103, + "learning_rate": 1.8743705057511777e-05, + "loss": 0.9365, + "step": 7914 + }, + { + "epoch": 0.19, + "grad_norm": 1.7115704225843875, + "learning_rate": 1.8743334759577582e-05, + "loss": 0.8992, + "step": 7915 + }, + { + "epoch": 0.19, + "grad_norm": 1.5641984749253854, + "learning_rate": 1.874296441073692e-05, + "loss": 0.8526, + "step": 7916 + }, + { + "epoch": 0.19, + "grad_norm": 1.5322504595974182, + "learning_rate": 1.8742594010991953e-05, + "loss": 0.939, + "step": 7917 + }, + { + "epoch": 0.19, + "grad_norm": 1.8103096893354433, + "learning_rate": 1.8742223560344835e-05, + "loss": 0.9745, + "step": 7918 + }, + { + "epoch": 0.19, + "grad_norm": 1.6494817313696957, + "learning_rate": 1.874185305879772e-05, + "loss": 0.9454, + "step": 7919 + }, + { + "epoch": 0.19, + "grad_norm": 0.7903992363430395, + "learning_rate": 1.8741482506352776e-05, + "loss": 0.7765, + "step": 7920 + }, + { + "epoch": 0.19, + "grad_norm": 1.7650892679839416, + "learning_rate": 1.8741111903012148e-05, + "loss": 0.9119, + "step": 7921 + }, + { + "epoch": 0.19, + "grad_norm": 3.155409959151394, + "learning_rate": 1.8740741248778002e-05, + "loss": 0.833, + "step": 7922 + }, + { + "epoch": 0.19, + "grad_norm": 2.0003335925161956, + "learning_rate": 1.8740370543652487e-05, + "loss": 0.7727, + "step": 7923 + }, + { + "epoch": 0.19, + "grad_norm": 0.7673628491307829, + "learning_rate": 1.8739999787637775e-05, + "loss": 0.724, + "step": 7924 + }, + { + "epoch": 0.19, + "grad_norm": 1.526566761959507, + "learning_rate": 1.8739628980736016e-05, + "loss": 0.9343, + "step": 7925 + }, + { + "epoch": 0.19, + "grad_norm": 1.8413760064440197, + "learning_rate": 1.8739258122949367e-05, + "loss": 0.904, + "step": 7926 + }, + { + "epoch": 0.19, + "grad_norm": 1.8767779360751875, + "learning_rate": 1.873888721427999e-05, + "loss": 0.9416, + "step": 7927 + }, + { + "epoch": 0.19, + "grad_norm": 1.514828908229341, + "learning_rate": 1.8738516254730052e-05, + "loss": 0.7627, + "step": 7928 + }, + { + "epoch": 0.19, + "grad_norm": 1.6766016542852902, + "learning_rate": 1.87381452443017e-05, + "loss": 0.9136, + "step": 7929 + }, + { + "epoch": 0.19, + "grad_norm": 1.67038028361938, + "learning_rate": 1.87377741829971e-05, + "loss": 1.0444, + "step": 7930 + }, + { + "epoch": 0.19, + "grad_norm": 1.8624777295289052, + "learning_rate": 1.873740307081841e-05, + "loss": 0.9164, + "step": 7931 + }, + { + "epoch": 0.19, + "grad_norm": 1.4159553327138759, + "learning_rate": 1.8737031907767797e-05, + "loss": 0.9802, + "step": 7932 + }, + { + "epoch": 0.19, + "grad_norm": 2.6318462259493143, + "learning_rate": 1.873666069384742e-05, + "loss": 0.9072, + "step": 7933 + }, + { + "epoch": 0.19, + "grad_norm": 1.6994971538139991, + "learning_rate": 1.8736289429059436e-05, + "loss": 0.9866, + "step": 7934 + }, + { + "epoch": 0.19, + "grad_norm": 0.8079800901253021, + "learning_rate": 1.873591811340601e-05, + "loss": 0.7567, + "step": 7935 + }, + { + "epoch": 0.19, + "grad_norm": 1.7487839569484775, + "learning_rate": 1.87355467468893e-05, + "loss": 0.9128, + "step": 7936 + }, + { + "epoch": 0.19, + "grad_norm": 2.2041660637115656, + "learning_rate": 1.873517532951147e-05, + "loss": 0.8379, + "step": 7937 + }, + { + "epoch": 0.19, + "grad_norm": 2.3254815121474164, + "learning_rate": 1.8734803861274692e-05, + "loss": 0.9285, + "step": 7938 + }, + { + "epoch": 0.19, + "grad_norm": 1.5687902694141462, + "learning_rate": 1.8734432342181113e-05, + "loss": 0.8628, + "step": 7939 + }, + { + "epoch": 0.19, + "grad_norm": 1.7905617050347578, + "learning_rate": 1.8734060772232906e-05, + "loss": 0.9038, + "step": 7940 + }, + { + "epoch": 0.19, + "grad_norm": 1.508865260735506, + "learning_rate": 1.873368915143223e-05, + "loss": 0.9769, + "step": 7941 + }, + { + "epoch": 0.19, + "grad_norm": 2.008843594359375, + "learning_rate": 1.8733317479781256e-05, + "loss": 0.9652, + "step": 7942 + }, + { + "epoch": 0.19, + "grad_norm": 1.4177261013481681, + "learning_rate": 1.8732945757282137e-05, + "loss": 0.8881, + "step": 7943 + }, + { + "epoch": 0.19, + "grad_norm": 1.6011513582082166, + "learning_rate": 1.8732573983937046e-05, + "loss": 0.9621, + "step": 7944 + }, + { + "epoch": 0.19, + "grad_norm": 1.4876644843633002, + "learning_rate": 1.8732202159748146e-05, + "loss": 0.906, + "step": 7945 + }, + { + "epoch": 0.19, + "grad_norm": 1.691193963063789, + "learning_rate": 1.8731830284717597e-05, + "loss": 0.8873, + "step": 7946 + }, + { + "epoch": 0.19, + "grad_norm": 2.530996448987458, + "learning_rate": 1.873145835884757e-05, + "loss": 1.0394, + "step": 7947 + }, + { + "epoch": 0.19, + "grad_norm": 0.7817114948509059, + "learning_rate": 1.8731086382140228e-05, + "loss": 0.767, + "step": 7948 + }, + { + "epoch": 0.19, + "grad_norm": 1.5015636435427404, + "learning_rate": 1.8730714354597738e-05, + "loss": 1.0243, + "step": 7949 + }, + { + "epoch": 0.19, + "grad_norm": 1.7983700827624396, + "learning_rate": 1.873034227622226e-05, + "loss": 0.8964, + "step": 7950 + }, + { + "epoch": 0.19, + "grad_norm": 1.784272800151075, + "learning_rate": 1.8729970147015968e-05, + "loss": 0.8712, + "step": 7951 + }, + { + "epoch": 0.19, + "grad_norm": 1.8688831496744072, + "learning_rate": 1.8729597966981025e-05, + "loss": 0.7921, + "step": 7952 + }, + { + "epoch": 0.19, + "grad_norm": 1.5125430359778593, + "learning_rate": 1.8729225736119602e-05, + "loss": 0.9402, + "step": 7953 + }, + { + "epoch": 0.19, + "grad_norm": 1.680977882064403, + "learning_rate": 1.872885345443386e-05, + "loss": 0.8882, + "step": 7954 + }, + { + "epoch": 0.19, + "grad_norm": 0.776720206449011, + "learning_rate": 1.872848112192597e-05, + "loss": 0.7579, + "step": 7955 + }, + { + "epoch": 0.19, + "grad_norm": 1.760548146697104, + "learning_rate": 1.8728108738598103e-05, + "loss": 0.8691, + "step": 7956 + }, + { + "epoch": 0.19, + "grad_norm": 1.8045001182815148, + "learning_rate": 1.872773630445242e-05, + "loss": 0.9424, + "step": 7957 + }, + { + "epoch": 0.19, + "grad_norm": 1.9593244858585561, + "learning_rate": 1.8727363819491097e-05, + "loss": 0.9128, + "step": 7958 + }, + { + "epoch": 0.19, + "grad_norm": 1.6250214111082135, + "learning_rate": 1.8726991283716295e-05, + "loss": 0.8602, + "step": 7959 + }, + { + "epoch": 0.19, + "grad_norm": 0.7388716414668963, + "learning_rate": 1.8726618697130186e-05, + "loss": 0.6543, + "step": 7960 + }, + { + "epoch": 0.19, + "grad_norm": 2.1843202140138893, + "learning_rate": 1.872624605973494e-05, + "loss": 0.8731, + "step": 7961 + }, + { + "epoch": 0.19, + "grad_norm": 2.277610249751547, + "learning_rate": 1.8725873371532733e-05, + "loss": 0.8837, + "step": 7962 + }, + { + "epoch": 0.19, + "grad_norm": 1.581489576109475, + "learning_rate": 1.872550063252572e-05, + "loss": 0.8532, + "step": 7963 + }, + { + "epoch": 0.19, + "grad_norm": 1.715745905241587, + "learning_rate": 1.8725127842716086e-05, + "loss": 0.9858, + "step": 7964 + }, + { + "epoch": 0.19, + "grad_norm": 1.877709134604333, + "learning_rate": 1.8724755002105996e-05, + "loss": 0.9134, + "step": 7965 + }, + { + "epoch": 0.19, + "grad_norm": 1.6421223866242272, + "learning_rate": 1.8724382110697615e-05, + "loss": 1.0171, + "step": 7966 + }, + { + "epoch": 0.19, + "grad_norm": 1.5864247020918538, + "learning_rate": 1.8724009168493126e-05, + "loss": 0.87, + "step": 7967 + }, + { + "epoch": 0.19, + "grad_norm": 1.462031605619473, + "learning_rate": 1.872363617549469e-05, + "loss": 0.9027, + "step": 7968 + }, + { + "epoch": 0.19, + "grad_norm": 0.7715483701546703, + "learning_rate": 1.872326313170448e-05, + "loss": 0.7513, + "step": 7969 + }, + { + "epoch": 0.19, + "grad_norm": 2.2246432664844766, + "learning_rate": 1.8722890037124674e-05, + "loss": 1.0158, + "step": 7970 + }, + { + "epoch": 0.19, + "grad_norm": 2.6886197275185038, + "learning_rate": 1.8722516891757435e-05, + "loss": 0.9415, + "step": 7971 + }, + { + "epoch": 0.19, + "grad_norm": 1.7729016827272848, + "learning_rate": 1.872214369560495e-05, + "loss": 0.9029, + "step": 7972 + }, + { + "epoch": 0.19, + "grad_norm": 1.735438282542121, + "learning_rate": 1.8721770448669377e-05, + "loss": 0.9209, + "step": 7973 + }, + { + "epoch": 0.19, + "grad_norm": 1.7503614274950654, + "learning_rate": 1.8721397150952894e-05, + "loss": 0.8924, + "step": 7974 + }, + { + "epoch": 0.19, + "grad_norm": 1.454095937035569, + "learning_rate": 1.8721023802457678e-05, + "loss": 0.9504, + "step": 7975 + }, + { + "epoch": 0.19, + "grad_norm": 2.09622340721608, + "learning_rate": 1.87206504031859e-05, + "loss": 0.9187, + "step": 7976 + }, + { + "epoch": 0.19, + "grad_norm": 1.9519926549327342, + "learning_rate": 1.8720276953139737e-05, + "loss": 0.8797, + "step": 7977 + }, + { + "epoch": 0.19, + "grad_norm": 1.9445459467166823, + "learning_rate": 1.871990345232136e-05, + "loss": 0.9337, + "step": 7978 + }, + { + "epoch": 0.19, + "grad_norm": 1.8946488394941403, + "learning_rate": 1.871952990073294e-05, + "loss": 0.9498, + "step": 7979 + }, + { + "epoch": 0.19, + "grad_norm": 1.4734567527717892, + "learning_rate": 1.871915629837666e-05, + "loss": 0.8536, + "step": 7980 + }, + { + "epoch": 0.19, + "grad_norm": 3.632195289443804, + "learning_rate": 1.8718782645254688e-05, + "loss": 0.8397, + "step": 7981 + }, + { + "epoch": 0.19, + "grad_norm": 1.4271739028486834, + "learning_rate": 1.8718408941369208e-05, + "loss": 0.9634, + "step": 7982 + }, + { + "epoch": 0.19, + "grad_norm": 2.1325812920766154, + "learning_rate": 1.871803518672239e-05, + "loss": 0.9107, + "step": 7983 + }, + { + "epoch": 0.19, + "grad_norm": 3.162359480703867, + "learning_rate": 1.871766138131641e-05, + "loss": 0.7853, + "step": 7984 + }, + { + "epoch": 0.19, + "grad_norm": 1.71186831858812, + "learning_rate": 1.8717287525153443e-05, + "loss": 1.0244, + "step": 7985 + }, + { + "epoch": 0.19, + "grad_norm": 1.523014975624438, + "learning_rate": 1.8716913618235676e-05, + "loss": 0.8302, + "step": 7986 + }, + { + "epoch": 0.19, + "grad_norm": 1.6364282055896768, + "learning_rate": 1.871653966056527e-05, + "loss": 1.0287, + "step": 7987 + }, + { + "epoch": 0.19, + "grad_norm": 1.5596120035069652, + "learning_rate": 1.8716165652144415e-05, + "loss": 0.7954, + "step": 7988 + }, + { + "epoch": 0.19, + "grad_norm": 1.644830535029658, + "learning_rate": 1.871579159297528e-05, + "loss": 0.9193, + "step": 7989 + }, + { + "epoch": 0.19, + "grad_norm": 2.542651365972366, + "learning_rate": 1.871541748306005e-05, + "loss": 0.9677, + "step": 7990 + }, + { + "epoch": 0.19, + "grad_norm": 1.8990598147827644, + "learning_rate": 1.87150433224009e-05, + "loss": 0.8816, + "step": 7991 + }, + { + "epoch": 0.19, + "grad_norm": 2.150859870282456, + "learning_rate": 1.871466911100001e-05, + "loss": 0.8975, + "step": 7992 + }, + { + "epoch": 0.19, + "grad_norm": 1.5579840559331481, + "learning_rate": 1.8714294848859555e-05, + "loss": 0.8903, + "step": 7993 + }, + { + "epoch": 0.19, + "grad_norm": 0.7667558242248181, + "learning_rate": 1.8713920535981716e-05, + "loss": 0.7386, + "step": 7994 + }, + { + "epoch": 0.19, + "grad_norm": 0.8643328641339928, + "learning_rate": 1.8713546172368676e-05, + "loss": 0.7257, + "step": 7995 + }, + { + "epoch": 0.19, + "grad_norm": 1.6923986470894052, + "learning_rate": 1.8713171758022608e-05, + "loss": 0.8969, + "step": 7996 + }, + { + "epoch": 0.19, + "grad_norm": 1.5616713687738668, + "learning_rate": 1.8712797292945698e-05, + "loss": 0.9901, + "step": 7997 + }, + { + "epoch": 0.19, + "grad_norm": 1.4857045568873928, + "learning_rate": 1.8712422777140123e-05, + "loss": 0.8769, + "step": 7998 + }, + { + "epoch": 0.19, + "grad_norm": 1.4928081654650818, + "learning_rate": 1.8712048210608062e-05, + "loss": 0.8896, + "step": 7999 + }, + { + "epoch": 0.19, + "grad_norm": 1.7007204204138997, + "learning_rate": 1.87116735933517e-05, + "loss": 0.8423, + "step": 8000 + }, + { + "epoch": 0.19, + "grad_norm": 1.7244121562547783, + "learning_rate": 1.8711298925373218e-05, + "loss": 0.7356, + "step": 8001 + }, + { + "epoch": 0.19, + "grad_norm": 1.7278468937209825, + "learning_rate": 1.8710924206674795e-05, + "loss": 0.825, + "step": 8002 + }, + { + "epoch": 0.19, + "grad_norm": 1.6152025698970685, + "learning_rate": 1.871054943725861e-05, + "loss": 0.9519, + "step": 8003 + }, + { + "epoch": 0.19, + "grad_norm": 1.6999538442804898, + "learning_rate": 1.871017461712685e-05, + "loss": 1.0017, + "step": 8004 + }, + { + "epoch": 0.19, + "grad_norm": 2.03490964746927, + "learning_rate": 1.87097997462817e-05, + "loss": 0.868, + "step": 8005 + }, + { + "epoch": 0.19, + "grad_norm": 1.6448875438093984, + "learning_rate": 1.8709424824725335e-05, + "loss": 0.9374, + "step": 8006 + }, + { + "epoch": 0.19, + "grad_norm": 1.490499294293943, + "learning_rate": 1.8709049852459942e-05, + "loss": 0.9032, + "step": 8007 + }, + { + "epoch": 0.19, + "grad_norm": 1.5830464390743417, + "learning_rate": 1.87086748294877e-05, + "loss": 0.8415, + "step": 8008 + }, + { + "epoch": 0.19, + "grad_norm": 1.6382929742506547, + "learning_rate": 1.87082997558108e-05, + "loss": 0.9298, + "step": 8009 + }, + { + "epoch": 0.19, + "grad_norm": 1.4467507184541728, + "learning_rate": 1.8707924631431424e-05, + "loss": 0.9681, + "step": 8010 + }, + { + "epoch": 0.19, + "grad_norm": 1.8648042772452513, + "learning_rate": 1.870754945635175e-05, + "loss": 0.9278, + "step": 8011 + }, + { + "epoch": 0.19, + "grad_norm": 2.0877083128052303, + "learning_rate": 1.8707174230573967e-05, + "loss": 0.9711, + "step": 8012 + }, + { + "epoch": 0.19, + "grad_norm": 1.673476940191639, + "learning_rate": 1.870679895410026e-05, + "loss": 0.9145, + "step": 8013 + }, + { + "epoch": 0.19, + "grad_norm": 1.637510834690881, + "learning_rate": 1.870642362693281e-05, + "loss": 0.9079, + "step": 8014 + }, + { + "epoch": 0.19, + "grad_norm": 1.732408552218697, + "learning_rate": 1.870604824907381e-05, + "loss": 0.9647, + "step": 8015 + }, + { + "epoch": 0.19, + "grad_norm": 1.998693286810658, + "learning_rate": 1.8705672820525437e-05, + "loss": 0.9102, + "step": 8016 + }, + { + "epoch": 0.19, + "grad_norm": 1.6745235181032798, + "learning_rate": 1.870529734128988e-05, + "loss": 0.9644, + "step": 8017 + }, + { + "epoch": 0.19, + "grad_norm": 1.8052650797293572, + "learning_rate": 1.8704921811369328e-05, + "loss": 0.9688, + "step": 8018 + }, + { + "epoch": 0.19, + "grad_norm": 0.8280726262798956, + "learning_rate": 1.8704546230765964e-05, + "loss": 0.7896, + "step": 8019 + }, + { + "epoch": 0.19, + "grad_norm": 1.509149012868513, + "learning_rate": 1.870417059948198e-05, + "loss": 0.8873, + "step": 8020 + }, + { + "epoch": 0.19, + "grad_norm": 2.168349249938789, + "learning_rate": 1.8703794917519555e-05, + "loss": 0.898, + "step": 8021 + }, + { + "epoch": 0.19, + "grad_norm": 2.3621133707236504, + "learning_rate": 1.8703419184880882e-05, + "loss": 0.8926, + "step": 8022 + }, + { + "epoch": 0.19, + "grad_norm": 1.9362749784005635, + "learning_rate": 1.8703043401568144e-05, + "loss": 1.0955, + "step": 8023 + }, + { + "epoch": 0.19, + "grad_norm": 1.8952957728082713, + "learning_rate": 1.8702667567583533e-05, + "loss": 1.0351, + "step": 8024 + }, + { + "epoch": 0.19, + "grad_norm": 1.7495891644133899, + "learning_rate": 1.870229168292924e-05, + "loss": 0.8713, + "step": 8025 + }, + { + "epoch": 0.19, + "grad_norm": 1.6911275163852841, + "learning_rate": 1.8701915747607446e-05, + "loss": 0.8488, + "step": 8026 + }, + { + "epoch": 0.19, + "grad_norm": 1.9614743496351792, + "learning_rate": 1.8701539761620348e-05, + "loss": 0.8886, + "step": 8027 + }, + { + "epoch": 0.19, + "grad_norm": 2.3347898388280814, + "learning_rate": 1.8701163724970125e-05, + "loss": 0.8526, + "step": 8028 + }, + { + "epoch": 0.19, + "grad_norm": 1.9239687342380136, + "learning_rate": 1.8700787637658976e-05, + "loss": 0.8646, + "step": 8029 + }, + { + "epoch": 0.19, + "grad_norm": 1.5885178909633908, + "learning_rate": 1.8700411499689088e-05, + "loss": 1.016, + "step": 8030 + }, + { + "epoch": 0.19, + "grad_norm": 1.825253626246258, + "learning_rate": 1.8700035311062644e-05, + "loss": 0.9105, + "step": 8031 + }, + { + "epoch": 0.19, + "grad_norm": 1.7564401370249796, + "learning_rate": 1.8699659071781845e-05, + "loss": 0.9703, + "step": 8032 + }, + { + "epoch": 0.19, + "grad_norm": 2.2022873864775407, + "learning_rate": 1.8699282781848873e-05, + "loss": 0.8547, + "step": 8033 + }, + { + "epoch": 0.19, + "grad_norm": 0.7851382788641966, + "learning_rate": 1.8698906441265925e-05, + "loss": 0.7584, + "step": 8034 + }, + { + "epoch": 0.19, + "grad_norm": 1.9384648787533123, + "learning_rate": 1.8698530050035188e-05, + "loss": 0.9687, + "step": 8035 + }, + { + "epoch": 0.19, + "grad_norm": 2.044883290349114, + "learning_rate": 1.8698153608158856e-05, + "loss": 0.8727, + "step": 8036 + }, + { + "epoch": 0.19, + "grad_norm": 1.858550952229815, + "learning_rate": 1.869777711563912e-05, + "loss": 0.9266, + "step": 8037 + }, + { + "epoch": 0.19, + "grad_norm": 1.6378399191216633, + "learning_rate": 1.8697400572478173e-05, + "loss": 1.0145, + "step": 8038 + }, + { + "epoch": 0.19, + "grad_norm": 1.639621517954134, + "learning_rate": 1.8697023978678205e-05, + "loss": 0.9763, + "step": 8039 + }, + { + "epoch": 0.19, + "grad_norm": 1.7044697609522181, + "learning_rate": 1.869664733424141e-05, + "loss": 1.0152, + "step": 8040 + }, + { + "epoch": 0.19, + "grad_norm": 1.7130804025062947, + "learning_rate": 1.869627063916998e-05, + "loss": 0.9778, + "step": 8041 + }, + { + "epoch": 0.19, + "grad_norm": 0.7927625782398324, + "learning_rate": 1.869589389346611e-05, + "loss": 0.7611, + "step": 8042 + }, + { + "epoch": 0.19, + "grad_norm": 1.68114182843984, + "learning_rate": 1.8695517097131993e-05, + "loss": 1.0045, + "step": 8043 + }, + { + "epoch": 0.19, + "grad_norm": 1.9942405228013547, + "learning_rate": 1.8695140250169825e-05, + "loss": 0.9747, + "step": 8044 + }, + { + "epoch": 0.19, + "grad_norm": 1.4823423308208332, + "learning_rate": 1.8694763352581792e-05, + "loss": 1.0429, + "step": 8045 + }, + { + "epoch": 0.19, + "grad_norm": 2.3691375422880254, + "learning_rate": 1.86943864043701e-05, + "loss": 1.0178, + "step": 8046 + }, + { + "epoch": 0.19, + "grad_norm": 2.2129747026984408, + "learning_rate": 1.8694009405536934e-05, + "loss": 0.8889, + "step": 8047 + }, + { + "epoch": 0.19, + "grad_norm": 1.738500162301038, + "learning_rate": 1.8693632356084493e-05, + "loss": 1.0002, + "step": 8048 + }, + { + "epoch": 0.19, + "grad_norm": 1.9503857442509027, + "learning_rate": 1.8693255256014976e-05, + "loss": 0.997, + "step": 8049 + }, + { + "epoch": 0.19, + "grad_norm": 1.6335392692675073, + "learning_rate": 1.8692878105330568e-05, + "loss": 1.0533, + "step": 8050 + }, + { + "epoch": 0.19, + "grad_norm": 2.1753862242719233, + "learning_rate": 1.8692500904033478e-05, + "loss": 0.9077, + "step": 8051 + }, + { + "epoch": 0.19, + "grad_norm": 0.7590762820270576, + "learning_rate": 1.869212365212589e-05, + "loss": 0.7653, + "step": 8052 + }, + { + "epoch": 0.19, + "grad_norm": 2.3267504020863266, + "learning_rate": 1.8691746349610008e-05, + "loss": 0.999, + "step": 8053 + }, + { + "epoch": 0.19, + "grad_norm": 1.562508487138199, + "learning_rate": 1.869136899648803e-05, + "loss": 0.846, + "step": 8054 + }, + { + "epoch": 0.19, + "grad_norm": 1.6612632567512584, + "learning_rate": 1.8690991592762147e-05, + "loss": 0.9185, + "step": 8055 + }, + { + "epoch": 0.19, + "grad_norm": 1.5634641616877223, + "learning_rate": 1.869061413843456e-05, + "loss": 0.9798, + "step": 8056 + }, + { + "epoch": 0.19, + "grad_norm": 1.654810087125079, + "learning_rate": 1.869023663350747e-05, + "loss": 0.8643, + "step": 8057 + }, + { + "epoch": 0.19, + "grad_norm": 2.9680887327547483, + "learning_rate": 1.8689859077983064e-05, + "loss": 0.8967, + "step": 8058 + }, + { + "epoch": 0.19, + "grad_norm": 1.9235345774133719, + "learning_rate": 1.868948147186355e-05, + "loss": 0.9238, + "step": 8059 + }, + { + "epoch": 0.19, + "grad_norm": 1.7330987133888176, + "learning_rate": 1.8689103815151127e-05, + "loss": 0.8992, + "step": 8060 + }, + { + "epoch": 0.19, + "grad_norm": 0.7960710191400329, + "learning_rate": 1.8688726107847986e-05, + "loss": 0.7519, + "step": 8061 + }, + { + "epoch": 0.19, + "grad_norm": 1.636233523880956, + "learning_rate": 1.8688348349956334e-05, + "loss": 0.8718, + "step": 8062 + }, + { + "epoch": 0.19, + "grad_norm": 1.5668187768002628, + "learning_rate": 1.8687970541478367e-05, + "loss": 1.0862, + "step": 8063 + }, + { + "epoch": 0.19, + "grad_norm": 1.6488929397344376, + "learning_rate": 1.8687592682416284e-05, + "loss": 1.0099, + "step": 8064 + }, + { + "epoch": 0.19, + "grad_norm": 1.6522906232477406, + "learning_rate": 1.8687214772772283e-05, + "loss": 0.8284, + "step": 8065 + }, + { + "epoch": 0.19, + "grad_norm": 1.5818652310578079, + "learning_rate": 1.8686836812548573e-05, + "loss": 0.8167, + "step": 8066 + }, + { + "epoch": 0.19, + "grad_norm": 0.8045026162931486, + "learning_rate": 1.8686458801747347e-05, + "loss": 0.7212, + "step": 8067 + }, + { + "epoch": 0.19, + "grad_norm": 1.4344391598534467, + "learning_rate": 1.8686080740370807e-05, + "loss": 0.9834, + "step": 8068 + }, + { + "epoch": 0.19, + "grad_norm": 0.775512837095171, + "learning_rate": 1.8685702628421155e-05, + "loss": 0.7463, + "step": 8069 + }, + { + "epoch": 0.19, + "grad_norm": 1.5312263394341468, + "learning_rate": 1.8685324465900594e-05, + "loss": 1.0372, + "step": 8070 + }, + { + "epoch": 0.19, + "grad_norm": 1.8886987717126296, + "learning_rate": 1.868494625281132e-05, + "loss": 0.8999, + "step": 8071 + }, + { + "epoch": 0.19, + "grad_norm": 0.7420641287382632, + "learning_rate": 1.8684567989155545e-05, + "loss": 0.6992, + "step": 8072 + }, + { + "epoch": 0.19, + "grad_norm": 1.8345677477052025, + "learning_rate": 1.868418967493546e-05, + "loss": 0.7892, + "step": 8073 + }, + { + "epoch": 0.19, + "grad_norm": 1.5537924926834767, + "learning_rate": 1.8683811310153276e-05, + "loss": 0.9351, + "step": 8074 + }, + { + "epoch": 0.19, + "grad_norm": 2.0019823028019874, + "learning_rate": 1.8683432894811195e-05, + "loss": 0.9213, + "step": 8075 + }, + { + "epoch": 0.19, + "grad_norm": 1.7331964668790474, + "learning_rate": 1.8683054428911414e-05, + "loss": 0.9763, + "step": 8076 + }, + { + "epoch": 0.19, + "grad_norm": 1.6330529056933512, + "learning_rate": 1.8682675912456147e-05, + "loss": 0.8438, + "step": 8077 + }, + { + "epoch": 0.19, + "grad_norm": 2.4351194315238405, + "learning_rate": 1.868229734544759e-05, + "loss": 0.8797, + "step": 8078 + }, + { + "epoch": 0.19, + "grad_norm": 2.1933626827501023, + "learning_rate": 1.8681918727887945e-05, + "loss": 1.037, + "step": 8079 + }, + { + "epoch": 0.19, + "grad_norm": 1.5655706952159887, + "learning_rate": 1.8681540059779425e-05, + "loss": 0.8878, + "step": 8080 + }, + { + "epoch": 0.19, + "grad_norm": 1.5564476938237841, + "learning_rate": 1.8681161341124227e-05, + "loss": 0.9804, + "step": 8081 + }, + { + "epoch": 0.19, + "grad_norm": 1.585277595958703, + "learning_rate": 1.8680782571924564e-05, + "loss": 0.8122, + "step": 8082 + }, + { + "epoch": 0.19, + "grad_norm": 1.5003340813088635, + "learning_rate": 1.868040375218263e-05, + "loss": 0.8675, + "step": 8083 + }, + { + "epoch": 0.19, + "grad_norm": 1.8574583331612973, + "learning_rate": 1.868002488190064e-05, + "loss": 0.9324, + "step": 8084 + }, + { + "epoch": 0.19, + "grad_norm": 3.584974438957643, + "learning_rate": 1.86796459610808e-05, + "loss": 0.9257, + "step": 8085 + }, + { + "epoch": 0.19, + "grad_norm": 1.5554748923842268, + "learning_rate": 1.8679266989725313e-05, + "loss": 0.8662, + "step": 8086 + }, + { + "epoch": 0.19, + "grad_norm": 2.198955518705947, + "learning_rate": 1.8678887967836382e-05, + "loss": 1.0412, + "step": 8087 + }, + { + "epoch": 0.19, + "grad_norm": 1.3891987310234426, + "learning_rate": 1.867850889541622e-05, + "loss": 0.9184, + "step": 8088 + }, + { + "epoch": 0.19, + "grad_norm": 1.8210574788099054, + "learning_rate": 1.867812977246703e-05, + "loss": 0.9652, + "step": 8089 + }, + { + "epoch": 0.19, + "grad_norm": 1.7295025426233142, + "learning_rate": 1.8677750598991023e-05, + "loss": 0.9335, + "step": 8090 + }, + { + "epoch": 0.19, + "grad_norm": 0.8209818266669111, + "learning_rate": 1.8677371374990406e-05, + "loss": 0.7247, + "step": 8091 + }, + { + "epoch": 0.19, + "grad_norm": 1.6706166396767121, + "learning_rate": 1.8676992100467383e-05, + "loss": 1.0183, + "step": 8092 + }, + { + "epoch": 0.19, + "grad_norm": 3.2137123487064496, + "learning_rate": 1.8676612775424165e-05, + "loss": 0.913, + "step": 8093 + }, + { + "epoch": 0.19, + "grad_norm": 1.9346667186701154, + "learning_rate": 1.8676233399862963e-05, + "loss": 0.9875, + "step": 8094 + }, + { + "epoch": 0.19, + "grad_norm": 0.7673558856118545, + "learning_rate": 1.8675853973785976e-05, + "loss": 0.7062, + "step": 8095 + }, + { + "epoch": 0.19, + "grad_norm": 2.029393746599631, + "learning_rate": 1.8675474497195428e-05, + "loss": 0.863, + "step": 8096 + }, + { + "epoch": 0.19, + "grad_norm": 1.8726630997373357, + "learning_rate": 1.867509497009352e-05, + "loss": 0.8298, + "step": 8097 + }, + { + "epoch": 0.19, + "grad_norm": 0.7555267954923708, + "learning_rate": 1.867471539248246e-05, + "loss": 0.7251, + "step": 8098 + }, + { + "epoch": 0.19, + "grad_norm": 3.7514716743445287, + "learning_rate": 1.8674335764364464e-05, + "loss": 0.9812, + "step": 8099 + }, + { + "epoch": 0.19, + "grad_norm": 1.70614880635276, + "learning_rate": 1.8673956085741734e-05, + "loss": 1.019, + "step": 8100 + }, + { + "epoch": 0.19, + "grad_norm": 1.7338985836761276, + "learning_rate": 1.8673576356616488e-05, + "loss": 0.9125, + "step": 8101 + }, + { + "epoch": 0.19, + "grad_norm": 1.6456568350507927, + "learning_rate": 1.8673196576990938e-05, + "loss": 0.8867, + "step": 8102 + }, + { + "epoch": 0.19, + "grad_norm": 1.7628643261964667, + "learning_rate": 1.8672816746867285e-05, + "loss": 0.8825, + "step": 8103 + }, + { + "epoch": 0.19, + "grad_norm": 1.8510764359439773, + "learning_rate": 1.867243686624775e-05, + "loss": 0.8934, + "step": 8104 + }, + { + "epoch": 0.19, + "grad_norm": 2.363853353212601, + "learning_rate": 1.8672056935134545e-05, + "loss": 0.9111, + "step": 8105 + }, + { + "epoch": 0.19, + "grad_norm": 1.7929423652060168, + "learning_rate": 1.8671676953529875e-05, + "loss": 0.9396, + "step": 8106 + }, + { + "epoch": 0.19, + "grad_norm": 1.7256449487492345, + "learning_rate": 1.8671296921435956e-05, + "loss": 0.946, + "step": 8107 + }, + { + "epoch": 0.19, + "grad_norm": 1.9055713881025165, + "learning_rate": 1.8670916838855005e-05, + "loss": 0.7326, + "step": 8108 + }, + { + "epoch": 0.19, + "grad_norm": 0.8200426626097458, + "learning_rate": 1.867053670578923e-05, + "loss": 0.7841, + "step": 8109 + }, + { + "epoch": 0.19, + "grad_norm": 1.8435080282218501, + "learning_rate": 1.8670156522240843e-05, + "loss": 1.0318, + "step": 8110 + }, + { + "epoch": 0.19, + "grad_norm": 1.5667196295546209, + "learning_rate": 1.866977628821206e-05, + "loss": 0.8682, + "step": 8111 + }, + { + "epoch": 0.19, + "grad_norm": 1.8458185562868104, + "learning_rate": 1.8669396003705095e-05, + "loss": 0.9158, + "step": 8112 + }, + { + "epoch": 0.19, + "grad_norm": 1.6466612781451826, + "learning_rate": 1.8669015668722162e-05, + "loss": 0.8757, + "step": 8113 + }, + { + "epoch": 0.19, + "grad_norm": 1.6256352591398542, + "learning_rate": 1.8668635283265475e-05, + "loss": 0.8634, + "step": 8114 + }, + { + "epoch": 0.19, + "grad_norm": 1.5041288395749315, + "learning_rate": 1.8668254847337252e-05, + "loss": 0.995, + "step": 8115 + }, + { + "epoch": 0.19, + "grad_norm": 0.8226517431349895, + "learning_rate": 1.86678743609397e-05, + "loss": 0.7299, + "step": 8116 + }, + { + "epoch": 0.19, + "grad_norm": 1.735626988045814, + "learning_rate": 1.8667493824075042e-05, + "loss": 0.8171, + "step": 8117 + }, + { + "epoch": 0.19, + "grad_norm": 0.796784359372091, + "learning_rate": 1.866711323674549e-05, + "loss": 0.7763, + "step": 8118 + }, + { + "epoch": 0.19, + "grad_norm": 2.054100661090207, + "learning_rate": 1.8666732598953263e-05, + "loss": 0.8944, + "step": 8119 + }, + { + "epoch": 0.19, + "grad_norm": 1.9037838668799993, + "learning_rate": 1.8666351910700572e-05, + "loss": 0.9754, + "step": 8120 + }, + { + "epoch": 0.19, + "grad_norm": 1.6932452276736287, + "learning_rate": 1.8665971171989638e-05, + "loss": 0.8632, + "step": 8121 + }, + { + "epoch": 0.19, + "grad_norm": 1.8716648413403623, + "learning_rate": 1.8665590382822675e-05, + "loss": 0.8028, + "step": 8122 + }, + { + "epoch": 0.19, + "grad_norm": 1.7330547622700794, + "learning_rate": 1.8665209543201904e-05, + "loss": 0.976, + "step": 8123 + }, + { + "epoch": 0.19, + "grad_norm": 1.96556314338623, + "learning_rate": 1.866482865312954e-05, + "loss": 0.8556, + "step": 8124 + }, + { + "epoch": 0.19, + "grad_norm": 2.239338407433914, + "learning_rate": 1.8664447712607798e-05, + "loss": 0.9441, + "step": 8125 + }, + { + "epoch": 0.19, + "grad_norm": 1.5100552087751857, + "learning_rate": 1.8664066721638895e-05, + "loss": 0.8879, + "step": 8126 + }, + { + "epoch": 0.19, + "grad_norm": 1.7220491578244397, + "learning_rate": 1.8663685680225056e-05, + "loss": 0.9603, + "step": 8127 + }, + { + "epoch": 0.19, + "grad_norm": 1.8871438485903254, + "learning_rate": 1.8663304588368495e-05, + "loss": 1.0613, + "step": 8128 + }, + { + "epoch": 0.19, + "grad_norm": 1.6154940479965045, + "learning_rate": 1.8662923446071436e-05, + "loss": 0.9684, + "step": 8129 + }, + { + "epoch": 0.19, + "grad_norm": 1.6464506008447388, + "learning_rate": 1.866254225333609e-05, + "loss": 0.777, + "step": 8130 + }, + { + "epoch": 0.19, + "grad_norm": 1.941612602921063, + "learning_rate": 1.8662161010164682e-05, + "loss": 1.0058, + "step": 8131 + }, + { + "epoch": 0.19, + "grad_norm": 1.6694441029275606, + "learning_rate": 1.8661779716559428e-05, + "loss": 0.9353, + "step": 8132 + }, + { + "epoch": 0.19, + "grad_norm": 1.626443660575807, + "learning_rate": 1.866139837252255e-05, + "loss": 0.9609, + "step": 8133 + }, + { + "epoch": 0.19, + "grad_norm": 1.8967591059335833, + "learning_rate": 1.8661016978056273e-05, + "loss": 0.8965, + "step": 8134 + }, + { + "epoch": 0.19, + "grad_norm": 1.3518484433200395, + "learning_rate": 1.8660635533162813e-05, + "loss": 0.9739, + "step": 8135 + }, + { + "epoch": 0.19, + "grad_norm": 2.014295055380223, + "learning_rate": 1.866025403784439e-05, + "loss": 0.9239, + "step": 8136 + }, + { + "epoch": 0.19, + "grad_norm": 1.8400981439239243, + "learning_rate": 1.8659872492103222e-05, + "loss": 0.8491, + "step": 8137 + }, + { + "epoch": 0.19, + "grad_norm": 1.8165212501088106, + "learning_rate": 1.865949089594154e-05, + "loss": 0.8356, + "step": 8138 + }, + { + "epoch": 0.19, + "grad_norm": 1.652975799394754, + "learning_rate": 1.8659109249361557e-05, + "loss": 0.9742, + "step": 8139 + }, + { + "epoch": 0.19, + "grad_norm": 1.933695220452242, + "learning_rate": 1.8658727552365498e-05, + "loss": 1.0863, + "step": 8140 + }, + { + "epoch": 0.19, + "grad_norm": 1.9427664150924098, + "learning_rate": 1.865834580495559e-05, + "loss": 0.8602, + "step": 8141 + }, + { + "epoch": 0.19, + "grad_norm": 1.9042586493017843, + "learning_rate": 1.865796400713405e-05, + "loss": 0.8523, + "step": 8142 + }, + { + "epoch": 0.19, + "grad_norm": 1.942094301026198, + "learning_rate": 1.86575821589031e-05, + "loss": 0.9995, + "step": 8143 + }, + { + "epoch": 0.19, + "grad_norm": 1.6334689834539748, + "learning_rate": 1.8657200260264966e-05, + "loss": 0.9385, + "step": 8144 + }, + { + "epoch": 0.19, + "grad_norm": 1.9552680316120272, + "learning_rate": 1.865681831122187e-05, + "loss": 0.8433, + "step": 8145 + }, + { + "epoch": 0.19, + "grad_norm": 1.7534737545402113, + "learning_rate": 1.865643631177604e-05, + "loss": 0.7927, + "step": 8146 + }, + { + "epoch": 0.19, + "grad_norm": 1.8030101335577393, + "learning_rate": 1.86560542619297e-05, + "loss": 0.9455, + "step": 8147 + }, + { + "epoch": 0.19, + "grad_norm": 1.7109541474078418, + "learning_rate": 1.865567216168507e-05, + "loss": 0.9799, + "step": 8148 + }, + { + "epoch": 0.19, + "grad_norm": 1.817173671756924, + "learning_rate": 1.865529001104437e-05, + "loss": 0.8757, + "step": 8149 + }, + { + "epoch": 0.19, + "grad_norm": 2.2736648510872453, + "learning_rate": 1.8654907810009838e-05, + "loss": 0.9932, + "step": 8150 + }, + { + "epoch": 0.19, + "grad_norm": 2.175912974605035, + "learning_rate": 1.865452555858369e-05, + "loss": 0.9746, + "step": 8151 + }, + { + "epoch": 0.19, + "grad_norm": 1.456027763461248, + "learning_rate": 1.8654143256768157e-05, + "loss": 0.8124, + "step": 8152 + }, + { + "epoch": 0.19, + "grad_norm": 2.1475632149272075, + "learning_rate": 1.865376090456546e-05, + "loss": 0.8673, + "step": 8153 + }, + { + "epoch": 0.19, + "grad_norm": 0.7435825287772523, + "learning_rate": 1.8653378501977827e-05, + "loss": 0.7585, + "step": 8154 + }, + { + "epoch": 0.19, + "grad_norm": 1.56333902839405, + "learning_rate": 1.8652996049007485e-05, + "loss": 0.942, + "step": 8155 + }, + { + "epoch": 0.19, + "grad_norm": 1.6726265728047207, + "learning_rate": 1.865261354565666e-05, + "loss": 0.7797, + "step": 8156 + }, + { + "epoch": 0.19, + "grad_norm": 2.2752691436282584, + "learning_rate": 1.8652230991927582e-05, + "loss": 1.0319, + "step": 8157 + }, + { + "epoch": 0.19, + "grad_norm": 1.9047207574536262, + "learning_rate": 1.8651848387822473e-05, + "loss": 0.9018, + "step": 8158 + }, + { + "epoch": 0.19, + "grad_norm": 2.049223793039282, + "learning_rate": 1.8651465733343562e-05, + "loss": 0.9054, + "step": 8159 + }, + { + "epoch": 0.19, + "grad_norm": 1.876259239470517, + "learning_rate": 1.8651083028493082e-05, + "loss": 0.8458, + "step": 8160 + }, + { + "epoch": 0.19, + "grad_norm": 2.4413407369645204, + "learning_rate": 1.8650700273273257e-05, + "loss": 0.8928, + "step": 8161 + }, + { + "epoch": 0.19, + "grad_norm": 1.796432651229092, + "learning_rate": 1.8650317467686318e-05, + "loss": 0.9732, + "step": 8162 + }, + { + "epoch": 0.19, + "grad_norm": 2.1435160881349264, + "learning_rate": 1.864993461173449e-05, + "loss": 0.8345, + "step": 8163 + }, + { + "epoch": 0.19, + "grad_norm": 1.9852846940952018, + "learning_rate": 1.8649551705420004e-05, + "loss": 0.9736, + "step": 8164 + }, + { + "epoch": 0.19, + "grad_norm": 1.7195158230355139, + "learning_rate": 1.864916874874509e-05, + "loss": 1.0207, + "step": 8165 + }, + { + "epoch": 0.19, + "grad_norm": 1.755891570926106, + "learning_rate": 1.8648785741711975e-05, + "loss": 0.9019, + "step": 8166 + }, + { + "epoch": 0.19, + "grad_norm": 1.8305274991868592, + "learning_rate": 1.8648402684322893e-05, + "loss": 0.8891, + "step": 8167 + }, + { + "epoch": 0.19, + "grad_norm": 1.4971975060331364, + "learning_rate": 1.8648019576580074e-05, + "loss": 0.941, + "step": 8168 + }, + { + "epoch": 0.19, + "grad_norm": 2.083427943112337, + "learning_rate": 1.8647636418485748e-05, + "loss": 0.9439, + "step": 8169 + }, + { + "epoch": 0.19, + "grad_norm": 1.4365084317800947, + "learning_rate": 1.8647253210042143e-05, + "loss": 0.8244, + "step": 8170 + }, + { + "epoch": 0.19, + "grad_norm": 1.800061746773021, + "learning_rate": 1.8646869951251493e-05, + "loss": 0.8493, + "step": 8171 + }, + { + "epoch": 0.19, + "grad_norm": 1.5966620121095647, + "learning_rate": 1.8646486642116026e-05, + "loss": 0.9543, + "step": 8172 + }, + { + "epoch": 0.19, + "grad_norm": 1.719754985286612, + "learning_rate": 1.864610328263798e-05, + "loss": 0.9064, + "step": 8173 + }, + { + "epoch": 0.19, + "grad_norm": 1.785229234623815, + "learning_rate": 1.864571987281958e-05, + "loss": 0.8419, + "step": 8174 + }, + { + "epoch": 0.19, + "grad_norm": 1.721120054544898, + "learning_rate": 1.8645336412663062e-05, + "loss": 0.9026, + "step": 8175 + }, + { + "epoch": 0.19, + "grad_norm": 1.7874917245701756, + "learning_rate": 1.864495290217066e-05, + "loss": 0.9269, + "step": 8176 + }, + { + "epoch": 0.19, + "grad_norm": 1.8839634556716716, + "learning_rate": 1.8644569341344604e-05, + "loss": 0.9373, + "step": 8177 + }, + { + "epoch": 0.19, + "grad_norm": 2.225732371617913, + "learning_rate": 1.864418573018713e-05, + "loss": 0.8669, + "step": 8178 + }, + { + "epoch": 0.19, + "grad_norm": 1.6276408798805782, + "learning_rate": 1.864380206870047e-05, + "loss": 0.8426, + "step": 8179 + }, + { + "epoch": 0.19, + "grad_norm": 2.006851674964322, + "learning_rate": 1.8643418356886854e-05, + "loss": 0.8889, + "step": 8180 + }, + { + "epoch": 0.19, + "grad_norm": 1.5493551993713053, + "learning_rate": 1.8643034594748525e-05, + "loss": 0.9809, + "step": 8181 + }, + { + "epoch": 0.19, + "grad_norm": 1.7904382939030141, + "learning_rate": 1.864265078228771e-05, + "loss": 0.8882, + "step": 8182 + }, + { + "epoch": 0.19, + "grad_norm": 1.53638861484836, + "learning_rate": 1.8642266919506644e-05, + "loss": 0.8623, + "step": 8183 + }, + { + "epoch": 0.19, + "grad_norm": 2.011011717300178, + "learning_rate": 1.864188300640757e-05, + "loss": 0.8293, + "step": 8184 + }, + { + "epoch": 0.19, + "grad_norm": 1.841334297113441, + "learning_rate": 1.864149904299271e-05, + "loss": 0.9013, + "step": 8185 + }, + { + "epoch": 0.19, + "grad_norm": 1.8515470427157639, + "learning_rate": 1.8641115029264312e-05, + "loss": 0.9734, + "step": 8186 + }, + { + "epoch": 0.19, + "grad_norm": 1.5543649261839458, + "learning_rate": 1.8640730965224602e-05, + "loss": 0.9521, + "step": 8187 + }, + { + "epoch": 0.19, + "grad_norm": 1.5628536043297034, + "learning_rate": 1.8640346850875825e-05, + "loss": 0.8842, + "step": 8188 + }, + { + "epoch": 0.19, + "grad_norm": 1.7151199411642035, + "learning_rate": 1.863996268622021e-05, + "loss": 0.9058, + "step": 8189 + }, + { + "epoch": 0.19, + "grad_norm": 6.75546093356854, + "learning_rate": 1.8639578471259997e-05, + "loss": 0.9043, + "step": 8190 + }, + { + "epoch": 0.19, + "grad_norm": 1.53548361542771, + "learning_rate": 1.8639194205997423e-05, + "loss": 0.9378, + "step": 8191 + }, + { + "epoch": 0.19, + "grad_norm": 1.6852745270416627, + "learning_rate": 1.863880989043473e-05, + "loss": 0.8741, + "step": 8192 + }, + { + "epoch": 0.19, + "grad_norm": 1.9368460601563235, + "learning_rate": 1.8638425524574148e-05, + "loss": 0.9485, + "step": 8193 + }, + { + "epoch": 0.19, + "grad_norm": 1.818836816845028, + "learning_rate": 1.8638041108417916e-05, + "loss": 0.9273, + "step": 8194 + }, + { + "epoch": 0.19, + "grad_norm": 1.5832194120185015, + "learning_rate": 1.8637656641968272e-05, + "loss": 0.9154, + "step": 8195 + }, + { + "epoch": 0.19, + "grad_norm": 1.8289505439202, + "learning_rate": 1.863727212522746e-05, + "loss": 0.9075, + "step": 8196 + }, + { + "epoch": 0.19, + "grad_norm": 1.4860654484780595, + "learning_rate": 1.8636887558197713e-05, + "loss": 0.8277, + "step": 8197 + }, + { + "epoch": 0.19, + "grad_norm": 1.8992605324276464, + "learning_rate": 1.8636502940881276e-05, + "loss": 1.0068, + "step": 8198 + }, + { + "epoch": 0.19, + "grad_norm": 1.5601770793666776, + "learning_rate": 1.863611827328038e-05, + "loss": 1.0051, + "step": 8199 + }, + { + "epoch": 0.19, + "grad_norm": 1.7148372048815732, + "learning_rate": 1.8635733555397273e-05, + "loss": 0.9816, + "step": 8200 + }, + { + "epoch": 0.19, + "grad_norm": 2.027894581563827, + "learning_rate": 1.863534878723419e-05, + "loss": 0.9697, + "step": 8201 + }, + { + "epoch": 0.19, + "grad_norm": 1.725817607041178, + "learning_rate": 1.863496396879337e-05, + "loss": 0.944, + "step": 8202 + }, + { + "epoch": 0.19, + "grad_norm": 2.0217344101206183, + "learning_rate": 1.863457910007706e-05, + "loss": 0.903, + "step": 8203 + }, + { + "epoch": 0.19, + "grad_norm": 1.6006579459644261, + "learning_rate": 1.8634194181087494e-05, + "loss": 0.9689, + "step": 8204 + }, + { + "epoch": 0.19, + "grad_norm": 1.9744232807067814, + "learning_rate": 1.8633809211826917e-05, + "loss": 0.8685, + "step": 8205 + }, + { + "epoch": 0.19, + "grad_norm": 1.7623630867405593, + "learning_rate": 1.8633424192297566e-05, + "loss": 0.9766, + "step": 8206 + }, + { + "epoch": 0.19, + "grad_norm": 1.6283917806355448, + "learning_rate": 1.8633039122501692e-05, + "loss": 0.9258, + "step": 8207 + }, + { + "epoch": 0.19, + "grad_norm": 0.8247051805395836, + "learning_rate": 1.8632654002441528e-05, + "loss": 0.7169, + "step": 8208 + }, + { + "epoch": 0.19, + "grad_norm": 1.8186151192656335, + "learning_rate": 1.863226883211932e-05, + "loss": 0.9981, + "step": 8209 + }, + { + "epoch": 0.19, + "grad_norm": 1.5563146547609614, + "learning_rate": 1.863188361153731e-05, + "loss": 0.8174, + "step": 8210 + }, + { + "epoch": 0.19, + "grad_norm": 0.8434256422347567, + "learning_rate": 1.8631498340697736e-05, + "loss": 0.7432, + "step": 8211 + }, + { + "epoch": 0.19, + "grad_norm": 2.0509272387176822, + "learning_rate": 1.8631113019602854e-05, + "loss": 0.97, + "step": 8212 + }, + { + "epoch": 0.19, + "grad_norm": 1.5364135781277668, + "learning_rate": 1.8630727648254896e-05, + "loss": 0.8829, + "step": 8213 + }, + { + "epoch": 0.19, + "grad_norm": 1.907071240845834, + "learning_rate": 1.8630342226656108e-05, + "loss": 0.8278, + "step": 8214 + }, + { + "epoch": 0.19, + "grad_norm": 0.7806082667022328, + "learning_rate": 1.8629956754808734e-05, + "loss": 0.7072, + "step": 8215 + }, + { + "epoch": 0.19, + "grad_norm": 1.8322073001268893, + "learning_rate": 1.8629571232715024e-05, + "loss": 1.0042, + "step": 8216 + }, + { + "epoch": 0.19, + "grad_norm": 3.5381799666494658, + "learning_rate": 1.8629185660377216e-05, + "loss": 0.9506, + "step": 8217 + }, + { + "epoch": 0.19, + "grad_norm": 1.6949938518800163, + "learning_rate": 1.8628800037797558e-05, + "loss": 0.9208, + "step": 8218 + }, + { + "epoch": 0.19, + "grad_norm": 1.6579022486471948, + "learning_rate": 1.8628414364978292e-05, + "loss": 1.0077, + "step": 8219 + }, + { + "epoch": 0.19, + "grad_norm": 1.4858051625305728, + "learning_rate": 1.8628028641921668e-05, + "loss": 0.8403, + "step": 8220 + }, + { + "epoch": 0.19, + "grad_norm": 1.61278700351045, + "learning_rate": 1.862764286862993e-05, + "loss": 0.9268, + "step": 8221 + }, + { + "epoch": 0.19, + "grad_norm": 1.8308307083788486, + "learning_rate": 1.862725704510532e-05, + "loss": 0.87, + "step": 8222 + }, + { + "epoch": 0.19, + "grad_norm": 1.9074202774325038, + "learning_rate": 1.8626871171350093e-05, + "loss": 0.7886, + "step": 8223 + }, + { + "epoch": 0.19, + "grad_norm": 1.5799415394000493, + "learning_rate": 1.8626485247366486e-05, + "loss": 1.0994, + "step": 8224 + }, + { + "epoch": 0.19, + "grad_norm": 1.7760661187175741, + "learning_rate": 1.8626099273156753e-05, + "loss": 0.9728, + "step": 8225 + }, + { + "epoch": 0.19, + "grad_norm": 1.576813109485943, + "learning_rate": 1.862571324872314e-05, + "loss": 0.8266, + "step": 8226 + }, + { + "epoch": 0.19, + "grad_norm": 0.7464165424038536, + "learning_rate": 1.8625327174067896e-05, + "loss": 0.7128, + "step": 8227 + }, + { + "epoch": 0.19, + "grad_norm": 1.556518799500786, + "learning_rate": 1.8624941049193262e-05, + "loss": 0.9758, + "step": 8228 + }, + { + "epoch": 0.19, + "grad_norm": 1.8272325985944162, + "learning_rate": 1.862455487410149e-05, + "loss": 1.0443, + "step": 8229 + }, + { + "epoch": 0.19, + "grad_norm": 1.9290018055184104, + "learning_rate": 1.8624168648794833e-05, + "loss": 0.8609, + "step": 8230 + }, + { + "epoch": 0.19, + "grad_norm": 1.7893089841619627, + "learning_rate": 1.8623782373275535e-05, + "loss": 0.8256, + "step": 8231 + }, + { + "epoch": 0.19, + "grad_norm": 1.5011952100727355, + "learning_rate": 1.8623396047545844e-05, + "loss": 0.8607, + "step": 8232 + }, + { + "epoch": 0.19, + "grad_norm": 2.208134897623774, + "learning_rate": 1.862300967160801e-05, + "loss": 0.7574, + "step": 8233 + }, + { + "epoch": 0.19, + "grad_norm": 1.92837126523383, + "learning_rate": 1.8622623245464286e-05, + "loss": 0.9337, + "step": 8234 + }, + { + "epoch": 0.19, + "grad_norm": 1.6201452382664658, + "learning_rate": 1.862223676911692e-05, + "loss": 0.9013, + "step": 8235 + }, + { + "epoch": 0.19, + "grad_norm": 1.6486888954819807, + "learning_rate": 1.862185024256816e-05, + "loss": 0.9534, + "step": 8236 + }, + { + "epoch": 0.19, + "grad_norm": 2.1378639104821766, + "learning_rate": 1.862146366582026e-05, + "loss": 0.8317, + "step": 8237 + }, + { + "epoch": 0.19, + "grad_norm": 1.7161945702958166, + "learning_rate": 1.862107703887547e-05, + "loss": 0.9076, + "step": 8238 + }, + { + "epoch": 0.19, + "grad_norm": 1.960128460227797, + "learning_rate": 1.8620690361736037e-05, + "loss": 1.0144, + "step": 8239 + }, + { + "epoch": 0.19, + "grad_norm": 1.7705210946203465, + "learning_rate": 1.8620303634404218e-05, + "loss": 0.9016, + "step": 8240 + }, + { + "epoch": 0.19, + "grad_norm": 1.6949924909313443, + "learning_rate": 1.8619916856882258e-05, + "loss": 0.8346, + "step": 8241 + }, + { + "epoch": 0.19, + "grad_norm": 1.8535410450918453, + "learning_rate": 1.8619530029172417e-05, + "loss": 0.9308, + "step": 8242 + }, + { + "epoch": 0.19, + "grad_norm": 2.8173362543384566, + "learning_rate": 1.861914315127694e-05, + "loss": 0.9134, + "step": 8243 + }, + { + "epoch": 0.19, + "grad_norm": 1.7280386587427592, + "learning_rate": 1.8618756223198086e-05, + "loss": 0.9296, + "step": 8244 + }, + { + "epoch": 0.19, + "grad_norm": 2.5321356348898503, + "learning_rate": 1.8618369244938103e-05, + "loss": 0.7648, + "step": 8245 + }, + { + "epoch": 0.19, + "grad_norm": 1.6993735611311818, + "learning_rate": 1.8617982216499247e-05, + "loss": 0.9368, + "step": 8246 + }, + { + "epoch": 0.19, + "grad_norm": 2.371537392657399, + "learning_rate": 1.861759513788377e-05, + "loss": 0.9471, + "step": 8247 + }, + { + "epoch": 0.19, + "grad_norm": 1.619414781106504, + "learning_rate": 1.8617208009093922e-05, + "loss": 1.0161, + "step": 8248 + }, + { + "epoch": 0.19, + "grad_norm": 1.8838407166786775, + "learning_rate": 1.8616820830131966e-05, + "loss": 0.9416, + "step": 8249 + }, + { + "epoch": 0.19, + "grad_norm": 1.6954318187377364, + "learning_rate": 1.861643360100015e-05, + "loss": 0.7961, + "step": 8250 + }, + { + "epoch": 0.19, + "grad_norm": 1.6930191506802157, + "learning_rate": 1.861604632170073e-05, + "loss": 1.069, + "step": 8251 + }, + { + "epoch": 0.19, + "grad_norm": 1.8699093098367194, + "learning_rate": 1.861565899223596e-05, + "loss": 1.0058, + "step": 8252 + }, + { + "epoch": 0.19, + "grad_norm": 1.5762630946656482, + "learning_rate": 1.8615271612608094e-05, + "loss": 0.8143, + "step": 8253 + }, + { + "epoch": 0.19, + "grad_norm": 0.7990785483632824, + "learning_rate": 1.861488418281939e-05, + "loss": 0.7251, + "step": 8254 + }, + { + "epoch": 0.19, + "grad_norm": 1.5354561519043206, + "learning_rate": 1.8614496702872102e-05, + "loss": 0.8513, + "step": 8255 + }, + { + "epoch": 0.19, + "grad_norm": 0.8325369023792859, + "learning_rate": 1.8614109172768487e-05, + "loss": 0.7286, + "step": 8256 + }, + { + "epoch": 0.19, + "grad_norm": 0.8286617452755695, + "learning_rate": 1.8613721592510804e-05, + "loss": 0.753, + "step": 8257 + }, + { + "epoch": 0.19, + "grad_norm": 2.84115178719008, + "learning_rate": 1.8613333962101303e-05, + "loss": 0.8545, + "step": 8258 + }, + { + "epoch": 0.19, + "grad_norm": 1.5589438594326823, + "learning_rate": 1.8612946281542247e-05, + "loss": 0.8695, + "step": 8259 + }, + { + "epoch": 0.19, + "grad_norm": 1.777284700760753, + "learning_rate": 1.861255855083589e-05, + "loss": 0.9731, + "step": 8260 + }, + { + "epoch": 0.19, + "grad_norm": 1.6375224715191994, + "learning_rate": 1.861217076998449e-05, + "loss": 0.9825, + "step": 8261 + }, + { + "epoch": 0.19, + "grad_norm": 2.1740241360517594, + "learning_rate": 1.8611782938990308e-05, + "loss": 0.9409, + "step": 8262 + }, + { + "epoch": 0.19, + "grad_norm": 1.5046005534336042, + "learning_rate": 1.86113950578556e-05, + "loss": 1.0002, + "step": 8263 + }, + { + "epoch": 0.19, + "grad_norm": 1.5083369314101096, + "learning_rate": 1.8611007126582617e-05, + "loss": 0.9532, + "step": 8264 + }, + { + "epoch": 0.19, + "grad_norm": 4.148685477937495, + "learning_rate": 1.861061914517363e-05, + "loss": 0.8678, + "step": 8265 + }, + { + "epoch": 0.19, + "grad_norm": 1.5242147846942669, + "learning_rate": 1.861023111363089e-05, + "loss": 0.8994, + "step": 8266 + }, + { + "epoch": 0.19, + "grad_norm": 1.4884916972249151, + "learning_rate": 1.860984303195666e-05, + "loss": 1.0107, + "step": 8267 + }, + { + "epoch": 0.19, + "grad_norm": 1.677324827017625, + "learning_rate": 1.8609454900153195e-05, + "loss": 1.0088, + "step": 8268 + }, + { + "epoch": 0.19, + "grad_norm": 1.8533075841171274, + "learning_rate": 1.860906671822276e-05, + "loss": 0.9591, + "step": 8269 + }, + { + "epoch": 0.19, + "grad_norm": 2.155779678573945, + "learning_rate": 1.8608678486167615e-05, + "loss": 1.0213, + "step": 8270 + }, + { + "epoch": 0.19, + "grad_norm": 2.0787381497622515, + "learning_rate": 1.8608290203990015e-05, + "loss": 0.8664, + "step": 8271 + }, + { + "epoch": 0.19, + "grad_norm": 2.0003079788362497, + "learning_rate": 1.8607901871692226e-05, + "loss": 0.9372, + "step": 8272 + }, + { + "epoch": 0.19, + "grad_norm": 1.8259542190633202, + "learning_rate": 1.8607513489276507e-05, + "loss": 0.9703, + "step": 8273 + }, + { + "epoch": 0.19, + "grad_norm": 1.5743124792111425, + "learning_rate": 1.860712505674512e-05, + "loss": 0.8822, + "step": 8274 + }, + { + "epoch": 0.19, + "grad_norm": 2.1071219599319777, + "learning_rate": 1.8606736574100325e-05, + "loss": 0.9019, + "step": 8275 + }, + { + "epoch": 0.19, + "grad_norm": 1.727670425940431, + "learning_rate": 1.8606348041344383e-05, + "loss": 0.8659, + "step": 8276 + }, + { + "epoch": 0.19, + "grad_norm": 1.5833325286316193, + "learning_rate": 1.860595945847956e-05, + "loss": 0.9356, + "step": 8277 + }, + { + "epoch": 0.2, + "grad_norm": 1.5153333726754261, + "learning_rate": 1.8605570825508117e-05, + "loss": 0.9782, + "step": 8278 + }, + { + "epoch": 0.2, + "grad_norm": 1.9117391960126489, + "learning_rate": 1.8605182142432317e-05, + "loss": 0.9248, + "step": 8279 + }, + { + "epoch": 0.2, + "grad_norm": 1.9550901966301069, + "learning_rate": 1.860479340925442e-05, + "loss": 0.9097, + "step": 8280 + }, + { + "epoch": 0.2, + "grad_norm": 1.6144159215643532, + "learning_rate": 1.860440462597669e-05, + "loss": 0.9531, + "step": 8281 + }, + { + "epoch": 0.2, + "grad_norm": 1.4678915483734596, + "learning_rate": 1.8604015792601395e-05, + "loss": 0.9384, + "step": 8282 + }, + { + "epoch": 0.2, + "grad_norm": 1.6931970595965298, + "learning_rate": 1.8603626909130796e-05, + "loss": 0.841, + "step": 8283 + }, + { + "epoch": 0.2, + "grad_norm": 1.4462243598888267, + "learning_rate": 1.8603237975567157e-05, + "loss": 0.9702, + "step": 8284 + }, + { + "epoch": 0.2, + "grad_norm": 0.8186546799117194, + "learning_rate": 1.860284899191274e-05, + "loss": 0.7818, + "step": 8285 + }, + { + "epoch": 0.2, + "grad_norm": 1.8422185144135956, + "learning_rate": 1.8602459958169817e-05, + "loss": 0.9963, + "step": 8286 + }, + { + "epoch": 0.2, + "grad_norm": 1.7995759228184165, + "learning_rate": 1.8602070874340646e-05, + "loss": 0.8683, + "step": 8287 + }, + { + "epoch": 0.2, + "grad_norm": 1.6108240504833393, + "learning_rate": 1.8601681740427495e-05, + "loss": 0.9731, + "step": 8288 + }, + { + "epoch": 0.2, + "grad_norm": 1.8726706727106188, + "learning_rate": 1.8601292556432632e-05, + "loss": 0.933, + "step": 8289 + }, + { + "epoch": 0.2, + "grad_norm": 1.736511706953884, + "learning_rate": 1.860090332235832e-05, + "loss": 0.8627, + "step": 8290 + }, + { + "epoch": 0.2, + "grad_norm": 1.744105666024887, + "learning_rate": 1.860051403820682e-05, + "loss": 0.8506, + "step": 8291 + }, + { + "epoch": 0.2, + "grad_norm": 0.7908680909047029, + "learning_rate": 1.860012470398041e-05, + "loss": 0.7836, + "step": 8292 + }, + { + "epoch": 0.2, + "grad_norm": 1.70778517038094, + "learning_rate": 1.859973531968135e-05, + "loss": 0.9668, + "step": 8293 + }, + { + "epoch": 0.2, + "grad_norm": 0.805449777196085, + "learning_rate": 1.859934588531191e-05, + "loss": 0.7137, + "step": 8294 + }, + { + "epoch": 0.2, + "grad_norm": 1.7105491162121218, + "learning_rate": 1.8598956400874354e-05, + "loss": 0.8785, + "step": 8295 + }, + { + "epoch": 0.2, + "grad_norm": 0.8116736420081052, + "learning_rate": 1.8598566866370952e-05, + "loss": 0.7219, + "step": 8296 + }, + { + "epoch": 0.2, + "grad_norm": 0.7763759242172007, + "learning_rate": 1.859817728180397e-05, + "loss": 0.7358, + "step": 8297 + }, + { + "epoch": 0.2, + "grad_norm": 0.7477783648436622, + "learning_rate": 1.859778764717568e-05, + "loss": 0.7507, + "step": 8298 + }, + { + "epoch": 0.2, + "grad_norm": 1.9920859426378121, + "learning_rate": 1.8597397962488347e-05, + "loss": 0.8666, + "step": 8299 + }, + { + "epoch": 0.2, + "grad_norm": 1.7372233678409976, + "learning_rate": 1.8597008227744242e-05, + "loss": 0.8073, + "step": 8300 + }, + { + "epoch": 0.2, + "grad_norm": 1.6796605987009487, + "learning_rate": 1.8596618442945634e-05, + "loss": 0.9104, + "step": 8301 + }, + { + "epoch": 0.2, + "grad_norm": 2.146194464191477, + "learning_rate": 1.8596228608094792e-05, + "loss": 0.8908, + "step": 8302 + }, + { + "epoch": 0.2, + "grad_norm": 1.5649639860746989, + "learning_rate": 1.8595838723193986e-05, + "loss": 0.8628, + "step": 8303 + }, + { + "epoch": 0.2, + "grad_norm": 1.78162309064383, + "learning_rate": 1.859544878824548e-05, + "loss": 0.8894, + "step": 8304 + }, + { + "epoch": 0.2, + "grad_norm": 2.2114537161741796, + "learning_rate": 1.859505880325155e-05, + "loss": 0.9223, + "step": 8305 + }, + { + "epoch": 0.2, + "grad_norm": 1.9968665335987408, + "learning_rate": 1.8594668768214474e-05, + "loss": 1.024, + "step": 8306 + }, + { + "epoch": 0.2, + "grad_norm": 1.7482220267775586, + "learning_rate": 1.859427868313651e-05, + "loss": 0.8497, + "step": 8307 + }, + { + "epoch": 0.2, + "grad_norm": 1.9881266946528298, + "learning_rate": 1.8593888548019938e-05, + "loss": 0.8294, + "step": 8308 + }, + { + "epoch": 0.2, + "grad_norm": 1.503812454870375, + "learning_rate": 1.8593498362867023e-05, + "loss": 1.0968, + "step": 8309 + }, + { + "epoch": 0.2, + "grad_norm": 0.8749100491901837, + "learning_rate": 1.859310812768004e-05, + "loss": 0.7699, + "step": 8310 + }, + { + "epoch": 0.2, + "grad_norm": 1.5750327513074984, + "learning_rate": 1.8592717842461262e-05, + "loss": 0.8927, + "step": 8311 + }, + { + "epoch": 0.2, + "grad_norm": 1.5906024162560186, + "learning_rate": 1.859232750721296e-05, + "loss": 0.9455, + "step": 8312 + }, + { + "epoch": 0.2, + "grad_norm": 1.50131905332512, + "learning_rate": 1.8591937121937408e-05, + "loss": 0.9808, + "step": 8313 + }, + { + "epoch": 0.2, + "grad_norm": 1.9935058647498856, + "learning_rate": 1.859154668663688e-05, + "loss": 0.9164, + "step": 8314 + }, + { + "epoch": 0.2, + "grad_norm": 1.673856322175922, + "learning_rate": 1.8591156201313642e-05, + "loss": 1.0399, + "step": 8315 + }, + { + "epoch": 0.2, + "grad_norm": 1.9256993250735326, + "learning_rate": 1.8590765665969974e-05, + "loss": 1.0039, + "step": 8316 + }, + { + "epoch": 0.2, + "grad_norm": 0.798534994286735, + "learning_rate": 1.859037508060815e-05, + "loss": 0.7141, + "step": 8317 + }, + { + "epoch": 0.2, + "grad_norm": 0.7423871009579103, + "learning_rate": 1.8589984445230444e-05, + "loss": 0.7744, + "step": 8318 + }, + { + "epoch": 0.2, + "grad_norm": 2.083784261930011, + "learning_rate": 1.8589593759839125e-05, + "loss": 1.0172, + "step": 8319 + }, + { + "epoch": 0.2, + "grad_norm": 1.9246754818703793, + "learning_rate": 1.8589203024436477e-05, + "loss": 0.9021, + "step": 8320 + }, + { + "epoch": 0.2, + "grad_norm": 1.5777120512084635, + "learning_rate": 1.8588812239024766e-05, + "loss": 0.9215, + "step": 8321 + }, + { + "epoch": 0.2, + "grad_norm": 2.0492013373391393, + "learning_rate": 1.858842140360627e-05, + "loss": 0.9433, + "step": 8322 + }, + { + "epoch": 0.2, + "grad_norm": 2.234432932593048, + "learning_rate": 1.8588030518183265e-05, + "loss": 0.8803, + "step": 8323 + }, + { + "epoch": 0.2, + "grad_norm": 1.7743691440745375, + "learning_rate": 1.8587639582758032e-05, + "loss": 0.9423, + "step": 8324 + }, + { + "epoch": 0.2, + "grad_norm": 1.6386309494176798, + "learning_rate": 1.8587248597332837e-05, + "loss": 0.9547, + "step": 8325 + }, + { + "epoch": 0.2, + "grad_norm": 1.7139458761871338, + "learning_rate": 1.8586857561909967e-05, + "loss": 0.8705, + "step": 8326 + }, + { + "epoch": 0.2, + "grad_norm": 1.653114963946628, + "learning_rate": 1.8586466476491692e-05, + "loss": 0.8412, + "step": 8327 + }, + { + "epoch": 0.2, + "grad_norm": 1.758289771123672, + "learning_rate": 1.8586075341080293e-05, + "loss": 1.0165, + "step": 8328 + }, + { + "epoch": 0.2, + "grad_norm": 1.967518027622778, + "learning_rate": 1.858568415567804e-05, + "loss": 0.9668, + "step": 8329 + }, + { + "epoch": 0.2, + "grad_norm": 0.7838140573292988, + "learning_rate": 1.8585292920287217e-05, + "loss": 0.747, + "step": 8330 + }, + { + "epoch": 0.2, + "grad_norm": 1.7664572989540819, + "learning_rate": 1.8584901634910105e-05, + "loss": 0.8319, + "step": 8331 + }, + { + "epoch": 0.2, + "grad_norm": 1.51823488799677, + "learning_rate": 1.8584510299548975e-05, + "loss": 0.9238, + "step": 8332 + }, + { + "epoch": 0.2, + "grad_norm": 3.275295745524475, + "learning_rate": 1.8584118914206105e-05, + "loss": 0.9385, + "step": 8333 + }, + { + "epoch": 0.2, + "grad_norm": 0.8056669868972474, + "learning_rate": 1.8583727478883782e-05, + "loss": 0.7049, + "step": 8334 + }, + { + "epoch": 0.2, + "grad_norm": 1.6262070508032211, + "learning_rate": 1.8583335993584275e-05, + "loss": 0.8183, + "step": 8335 + }, + { + "epoch": 0.2, + "grad_norm": 2.1120376956217446, + "learning_rate": 1.858294445830987e-05, + "loss": 1.0273, + "step": 8336 + }, + { + "epoch": 0.2, + "grad_norm": 8.783704992901075, + "learning_rate": 1.858255287306285e-05, + "loss": 0.7897, + "step": 8337 + }, + { + "epoch": 0.2, + "grad_norm": 1.625863270295888, + "learning_rate": 1.8582161237845486e-05, + "loss": 0.9615, + "step": 8338 + }, + { + "epoch": 0.2, + "grad_norm": 3.4639714842024873, + "learning_rate": 1.8581769552660064e-05, + "loss": 0.8375, + "step": 8339 + }, + { + "epoch": 0.2, + "grad_norm": 1.6952663845707046, + "learning_rate": 1.858137781750886e-05, + "loss": 0.9856, + "step": 8340 + }, + { + "epoch": 0.2, + "grad_norm": 1.7104711191565056, + "learning_rate": 1.8580986032394157e-05, + "loss": 0.9658, + "step": 8341 + }, + { + "epoch": 0.2, + "grad_norm": 0.88920525729605, + "learning_rate": 1.858059419731824e-05, + "loss": 0.7854, + "step": 8342 + }, + { + "epoch": 0.2, + "grad_norm": 1.633700563612029, + "learning_rate": 1.8580202312283383e-05, + "loss": 0.9171, + "step": 8343 + }, + { + "epoch": 0.2, + "grad_norm": 1.5944383409887626, + "learning_rate": 1.8579810377291875e-05, + "loss": 0.9117, + "step": 8344 + }, + { + "epoch": 0.2, + "grad_norm": 1.8213840019311298, + "learning_rate": 1.8579418392345993e-05, + "loss": 0.9459, + "step": 8345 + }, + { + "epoch": 0.2, + "grad_norm": 2.0345100687318602, + "learning_rate": 1.8579026357448023e-05, + "loss": 0.9737, + "step": 8346 + }, + { + "epoch": 0.2, + "grad_norm": 1.9878584686366665, + "learning_rate": 1.8578634272600246e-05, + "loss": 0.9715, + "step": 8347 + }, + { + "epoch": 0.2, + "grad_norm": 1.9356508367826533, + "learning_rate": 1.8578242137804938e-05, + "loss": 1.0511, + "step": 8348 + }, + { + "epoch": 0.2, + "grad_norm": 1.5844954906340605, + "learning_rate": 1.8577849953064394e-05, + "loss": 0.9095, + "step": 8349 + }, + { + "epoch": 0.2, + "grad_norm": 1.835495730809335, + "learning_rate": 1.8577457718380893e-05, + "loss": 0.8347, + "step": 8350 + }, + { + "epoch": 0.2, + "grad_norm": 1.8413737639770489, + "learning_rate": 1.8577065433756712e-05, + "loss": 1.0592, + "step": 8351 + }, + { + "epoch": 0.2, + "grad_norm": 1.538645363751425, + "learning_rate": 1.8576673099194145e-05, + "loss": 1.0688, + "step": 8352 + }, + { + "epoch": 0.2, + "grad_norm": 1.6678316104763482, + "learning_rate": 1.857628071469547e-05, + "loss": 0.9679, + "step": 8353 + }, + { + "epoch": 0.2, + "grad_norm": 1.7414193048764373, + "learning_rate": 1.8575888280262975e-05, + "loss": 0.978, + "step": 8354 + }, + { + "epoch": 0.2, + "grad_norm": 1.8199661305006298, + "learning_rate": 1.8575495795898942e-05, + "loss": 0.9297, + "step": 8355 + }, + { + "epoch": 0.2, + "grad_norm": 1.8015307767355595, + "learning_rate": 1.8575103261605657e-05, + "loss": 1.0654, + "step": 8356 + }, + { + "epoch": 0.2, + "grad_norm": 1.5907290073824536, + "learning_rate": 1.8574710677385412e-05, + "loss": 0.8966, + "step": 8357 + }, + { + "epoch": 0.2, + "grad_norm": 1.6601450327886962, + "learning_rate": 1.857431804324048e-05, + "loss": 1.0142, + "step": 8358 + }, + { + "epoch": 0.2, + "grad_norm": 1.544565126441637, + "learning_rate": 1.8573925359173154e-05, + "loss": 0.8613, + "step": 8359 + }, + { + "epoch": 0.2, + "grad_norm": 1.913399052347165, + "learning_rate": 1.8573532625185723e-05, + "loss": 0.9286, + "step": 8360 + }, + { + "epoch": 0.2, + "grad_norm": 1.5651609966905062, + "learning_rate": 1.857313984128047e-05, + "loss": 1.0476, + "step": 8361 + }, + { + "epoch": 0.2, + "grad_norm": 1.8841109979306676, + "learning_rate": 1.8572747007459678e-05, + "loss": 0.913, + "step": 8362 + }, + { + "epoch": 0.2, + "grad_norm": 1.640131670713251, + "learning_rate": 1.8572354123725645e-05, + "loss": 1.0672, + "step": 8363 + }, + { + "epoch": 0.2, + "grad_norm": 1.6960831938884686, + "learning_rate": 1.857196119008065e-05, + "loss": 0.7699, + "step": 8364 + }, + { + "epoch": 0.2, + "grad_norm": 1.7225241636112503, + "learning_rate": 1.857156820652698e-05, + "loss": 1.0271, + "step": 8365 + }, + { + "epoch": 0.2, + "grad_norm": 1.589152709179957, + "learning_rate": 1.8571175173066935e-05, + "loss": 0.8828, + "step": 8366 + }, + { + "epoch": 0.2, + "grad_norm": 1.4936687407438447, + "learning_rate": 1.8570782089702787e-05, + "loss": 0.8859, + "step": 8367 + }, + { + "epoch": 0.2, + "grad_norm": 0.7916638633644149, + "learning_rate": 1.8570388956436836e-05, + "loss": 0.748, + "step": 8368 + }, + { + "epoch": 0.2, + "grad_norm": 1.5501205847296884, + "learning_rate": 1.8569995773271366e-05, + "loss": 1.042, + "step": 8369 + }, + { + "epoch": 0.2, + "grad_norm": 1.5639229584116128, + "learning_rate": 1.8569602540208664e-05, + "loss": 0.9936, + "step": 8370 + }, + { + "epoch": 0.2, + "grad_norm": 1.9972925589024402, + "learning_rate": 1.8569209257251028e-05, + "loss": 0.9785, + "step": 8371 + }, + { + "epoch": 0.2, + "grad_norm": 1.5794790817418745, + "learning_rate": 1.8568815924400742e-05, + "loss": 0.8834, + "step": 8372 + }, + { + "epoch": 0.2, + "grad_norm": 1.534373771925316, + "learning_rate": 1.856842254166009e-05, + "loss": 0.8171, + "step": 8373 + }, + { + "epoch": 0.2, + "grad_norm": 1.8139828112926615, + "learning_rate": 1.8568029109031377e-05, + "loss": 0.9236, + "step": 8374 + }, + { + "epoch": 0.2, + "grad_norm": 1.5006962110588866, + "learning_rate": 1.8567635626516885e-05, + "loss": 0.8969, + "step": 8375 + }, + { + "epoch": 0.2, + "grad_norm": 1.579789389762876, + "learning_rate": 1.8567242094118902e-05, + "loss": 1.0552, + "step": 8376 + }, + { + "epoch": 0.2, + "grad_norm": 1.7192634466513088, + "learning_rate": 1.8566848511839724e-05, + "loss": 0.9281, + "step": 8377 + }, + { + "epoch": 0.2, + "grad_norm": 2.0344134061478423, + "learning_rate": 1.8566454879681646e-05, + "loss": 0.8645, + "step": 8378 + }, + { + "epoch": 0.2, + "grad_norm": 1.7962316510516785, + "learning_rate": 1.856606119764695e-05, + "loss": 0.9078, + "step": 8379 + }, + { + "epoch": 0.2, + "grad_norm": 1.5655925261336898, + "learning_rate": 1.856566746573794e-05, + "loss": 0.9192, + "step": 8380 + }, + { + "epoch": 0.2, + "grad_norm": 1.7027021427441884, + "learning_rate": 1.85652736839569e-05, + "loss": 0.9762, + "step": 8381 + }, + { + "epoch": 0.2, + "grad_norm": 1.6557905870966525, + "learning_rate": 1.8564879852306122e-05, + "loss": 1.1268, + "step": 8382 + }, + { + "epoch": 0.2, + "grad_norm": 2.0378872526539245, + "learning_rate": 1.8564485970787904e-05, + "loss": 0.8362, + "step": 8383 + }, + { + "epoch": 0.2, + "grad_norm": 1.8056631560353005, + "learning_rate": 1.8564092039404537e-05, + "loss": 0.9258, + "step": 8384 + }, + { + "epoch": 0.2, + "grad_norm": 0.8280516192841028, + "learning_rate": 1.8563698058158313e-05, + "loss": 0.7513, + "step": 8385 + }, + { + "epoch": 0.2, + "grad_norm": 1.895624398685948, + "learning_rate": 1.8563304027051532e-05, + "loss": 0.8745, + "step": 8386 + }, + { + "epoch": 0.2, + "grad_norm": 2.1760384634699093, + "learning_rate": 1.856290994608648e-05, + "loss": 0.913, + "step": 8387 + }, + { + "epoch": 0.2, + "grad_norm": 1.8541095594658417, + "learning_rate": 1.8562515815265456e-05, + "loss": 0.9501, + "step": 8388 + }, + { + "epoch": 0.2, + "grad_norm": 5.0178595961596555, + "learning_rate": 1.8562121634590756e-05, + "loss": 0.8655, + "step": 8389 + }, + { + "epoch": 0.2, + "grad_norm": 1.592044755366472, + "learning_rate": 1.856172740406467e-05, + "loss": 0.91, + "step": 8390 + }, + { + "epoch": 0.2, + "grad_norm": 1.5828457274615295, + "learning_rate": 1.85613331236895e-05, + "loss": 0.9175, + "step": 8391 + }, + { + "epoch": 0.2, + "grad_norm": 2.0105406903288188, + "learning_rate": 1.8560938793467537e-05, + "loss": 0.8056, + "step": 8392 + }, + { + "epoch": 0.2, + "grad_norm": 1.61460194529713, + "learning_rate": 1.8560544413401077e-05, + "loss": 0.9494, + "step": 8393 + }, + { + "epoch": 0.2, + "grad_norm": 1.8292561919726193, + "learning_rate": 1.8560149983492418e-05, + "loss": 0.9263, + "step": 8394 + }, + { + "epoch": 0.2, + "grad_norm": 1.5982463984420565, + "learning_rate": 1.855975550374385e-05, + "loss": 0.9514, + "step": 8395 + }, + { + "epoch": 0.2, + "grad_norm": 0.784423776868343, + "learning_rate": 1.8559360974157683e-05, + "loss": 0.7738, + "step": 8396 + }, + { + "epoch": 0.2, + "grad_norm": 1.8363947757328845, + "learning_rate": 1.8558966394736205e-05, + "loss": 0.9159, + "step": 8397 + }, + { + "epoch": 0.2, + "grad_norm": 1.5322106906392172, + "learning_rate": 1.8558571765481712e-05, + "loss": 0.8402, + "step": 8398 + }, + { + "epoch": 0.2, + "grad_norm": 1.45850875232878, + "learning_rate": 1.855817708639651e-05, + "loss": 0.9138, + "step": 8399 + }, + { + "epoch": 0.2, + "grad_norm": 1.6957112692555754, + "learning_rate": 1.8557782357482884e-05, + "loss": 0.9137, + "step": 8400 + }, + { + "epoch": 0.2, + "grad_norm": 2.0208336690446895, + "learning_rate": 1.8557387578743146e-05, + "loss": 0.991, + "step": 8401 + }, + { + "epoch": 0.2, + "grad_norm": 1.5811605213005768, + "learning_rate": 1.855699275017959e-05, + "loss": 0.8596, + "step": 8402 + }, + { + "epoch": 0.2, + "grad_norm": 1.7599224367752353, + "learning_rate": 1.855659787179451e-05, + "loss": 0.7555, + "step": 8403 + }, + { + "epoch": 0.2, + "grad_norm": 1.782027694045014, + "learning_rate": 1.8556202943590206e-05, + "loss": 0.9352, + "step": 8404 + }, + { + "epoch": 0.2, + "grad_norm": 1.7457687402276116, + "learning_rate": 1.855580796556898e-05, + "loss": 0.9, + "step": 8405 + }, + { + "epoch": 0.2, + "grad_norm": 1.7872076436811877, + "learning_rate": 1.855541293773313e-05, + "loss": 0.8745, + "step": 8406 + }, + { + "epoch": 0.2, + "grad_norm": 1.8683373335951199, + "learning_rate": 1.855501786008496e-05, + "loss": 0.9814, + "step": 8407 + }, + { + "epoch": 0.2, + "grad_norm": 1.9897386590842148, + "learning_rate": 1.855462273262677e-05, + "loss": 0.8325, + "step": 8408 + }, + { + "epoch": 0.2, + "grad_norm": 2.5931314578715092, + "learning_rate": 1.855422755536085e-05, + "loss": 0.8624, + "step": 8409 + }, + { + "epoch": 0.2, + "grad_norm": 1.7664340135423087, + "learning_rate": 1.855383232828952e-05, + "loss": 0.9086, + "step": 8410 + }, + { + "epoch": 0.2, + "grad_norm": 1.7256610919401891, + "learning_rate": 1.855343705141506e-05, + "loss": 0.9227, + "step": 8411 + }, + { + "epoch": 0.2, + "grad_norm": 2.6067534831906802, + "learning_rate": 1.855304172473979e-05, + "loss": 0.982, + "step": 8412 + }, + { + "epoch": 0.2, + "grad_norm": 1.6478046856123516, + "learning_rate": 1.8552646348266e-05, + "loss": 0.8925, + "step": 8413 + }, + { + "epoch": 0.2, + "grad_norm": 1.843784715069425, + "learning_rate": 1.8552250921995995e-05, + "loss": 0.8535, + "step": 8414 + }, + { + "epoch": 0.2, + "grad_norm": 1.7045127144142278, + "learning_rate": 1.8551855445932077e-05, + "loss": 1.0073, + "step": 8415 + }, + { + "epoch": 0.2, + "grad_norm": 1.971269400153061, + "learning_rate": 1.8551459920076547e-05, + "loss": 0.9092, + "step": 8416 + }, + { + "epoch": 0.2, + "grad_norm": 1.6704429121744846, + "learning_rate": 1.8551064344431712e-05, + "loss": 0.8314, + "step": 8417 + }, + { + "epoch": 0.2, + "grad_norm": 1.6431967088107575, + "learning_rate": 1.8550668718999873e-05, + "loss": 0.9237, + "step": 8418 + }, + { + "epoch": 0.2, + "grad_norm": 1.5418629829796482, + "learning_rate": 1.8550273043783337e-05, + "loss": 0.9368, + "step": 8419 + }, + { + "epoch": 0.2, + "grad_norm": 1.6148162558864643, + "learning_rate": 1.85498773187844e-05, + "loss": 0.9432, + "step": 8420 + }, + { + "epoch": 0.2, + "grad_norm": 2.5962058803630366, + "learning_rate": 1.8549481544005373e-05, + "loss": 0.9198, + "step": 8421 + }, + { + "epoch": 0.2, + "grad_norm": 1.7639835440767384, + "learning_rate": 1.8549085719448553e-05, + "loss": 0.932, + "step": 8422 + }, + { + "epoch": 0.2, + "grad_norm": 1.7906371370482792, + "learning_rate": 1.8548689845116255e-05, + "loss": 0.8359, + "step": 8423 + }, + { + "epoch": 0.2, + "grad_norm": 0.7748712933520371, + "learning_rate": 1.8548293921010776e-05, + "loss": 0.7454, + "step": 8424 + }, + { + "epoch": 0.2, + "grad_norm": 1.6506925074896575, + "learning_rate": 1.854789794713442e-05, + "loss": 0.9387, + "step": 8425 + }, + { + "epoch": 0.2, + "grad_norm": 1.7443779097342924, + "learning_rate": 1.8547501923489503e-05, + "loss": 0.952, + "step": 8426 + }, + { + "epoch": 0.2, + "grad_norm": 3.8198907169925604, + "learning_rate": 1.854710585007832e-05, + "loss": 0.9344, + "step": 8427 + }, + { + "epoch": 0.2, + "grad_norm": 2.334942680720376, + "learning_rate": 1.8546709726903178e-05, + "loss": 0.9111, + "step": 8428 + }, + { + "epoch": 0.2, + "grad_norm": 1.6594930159156565, + "learning_rate": 1.854631355396639e-05, + "loss": 1.0477, + "step": 8429 + }, + { + "epoch": 0.2, + "grad_norm": 0.7498350899467813, + "learning_rate": 1.8545917331270257e-05, + "loss": 0.7241, + "step": 8430 + }, + { + "epoch": 0.2, + "grad_norm": 1.9589164308258844, + "learning_rate": 1.8545521058817088e-05, + "loss": 0.8901, + "step": 8431 + }, + { + "epoch": 0.2, + "grad_norm": 1.5627426534413809, + "learning_rate": 1.854512473660919e-05, + "loss": 0.754, + "step": 8432 + }, + { + "epoch": 0.2, + "grad_norm": 0.7411765227343166, + "learning_rate": 1.8544728364648875e-05, + "loss": 0.7384, + "step": 8433 + }, + { + "epoch": 0.2, + "grad_norm": 1.6274039043923525, + "learning_rate": 1.8544331942938442e-05, + "loss": 0.9596, + "step": 8434 + }, + { + "epoch": 0.2, + "grad_norm": 1.6679555083638133, + "learning_rate": 1.85439354714802e-05, + "loss": 0.9343, + "step": 8435 + }, + { + "epoch": 0.2, + "grad_norm": 1.93857796033571, + "learning_rate": 1.8543538950276465e-05, + "loss": 0.8906, + "step": 8436 + }, + { + "epoch": 0.2, + "grad_norm": 1.728450873005321, + "learning_rate": 1.8543142379329543e-05, + "loss": 1.0122, + "step": 8437 + }, + { + "epoch": 0.2, + "grad_norm": 2.387089910419164, + "learning_rate": 1.8542745758641736e-05, + "loss": 0.9803, + "step": 8438 + }, + { + "epoch": 0.2, + "grad_norm": 1.7183829141777052, + "learning_rate": 1.8542349088215362e-05, + "loss": 1.0553, + "step": 8439 + }, + { + "epoch": 0.2, + "grad_norm": 2.471135353528829, + "learning_rate": 1.8541952368052727e-05, + "loss": 0.8407, + "step": 8440 + }, + { + "epoch": 0.2, + "grad_norm": 2.568397885929503, + "learning_rate": 1.8541555598156143e-05, + "loss": 0.9665, + "step": 8441 + }, + { + "epoch": 0.2, + "grad_norm": 1.7643781520238708, + "learning_rate": 1.8541158778527914e-05, + "loss": 0.9463, + "step": 8442 + }, + { + "epoch": 0.2, + "grad_norm": 1.5243805357596016, + "learning_rate": 1.8540761909170356e-05, + "loss": 0.8815, + "step": 8443 + }, + { + "epoch": 0.2, + "grad_norm": 1.6795090024316315, + "learning_rate": 1.8540364990085778e-05, + "loss": 0.8517, + "step": 8444 + }, + { + "epoch": 0.2, + "grad_norm": 1.8911941498502338, + "learning_rate": 1.8539968021276493e-05, + "loss": 0.8527, + "step": 8445 + }, + { + "epoch": 0.2, + "grad_norm": 2.0320845318985667, + "learning_rate": 1.853957100274481e-05, + "loss": 0.8852, + "step": 8446 + }, + { + "epoch": 0.2, + "grad_norm": 1.5661792067369813, + "learning_rate": 1.853917393449304e-05, + "loss": 0.9229, + "step": 8447 + }, + { + "epoch": 0.2, + "grad_norm": 1.8324467149396506, + "learning_rate": 1.8538776816523495e-05, + "loss": 0.9877, + "step": 8448 + }, + { + "epoch": 0.2, + "grad_norm": 1.4250214605585598, + "learning_rate": 1.853837964883849e-05, + "loss": 0.8194, + "step": 8449 + }, + { + "epoch": 0.2, + "grad_norm": 2.132422570301334, + "learning_rate": 1.8537982431440333e-05, + "loss": 0.9512, + "step": 8450 + }, + { + "epoch": 0.2, + "grad_norm": 1.572885977824651, + "learning_rate": 1.8537585164331343e-05, + "loss": 0.8559, + "step": 8451 + }, + { + "epoch": 0.2, + "grad_norm": 2.0769295364685676, + "learning_rate": 1.8537187847513825e-05, + "loss": 0.9518, + "step": 8452 + }, + { + "epoch": 0.2, + "grad_norm": 1.7612034385054238, + "learning_rate": 1.85367904809901e-05, + "loss": 0.8864, + "step": 8453 + }, + { + "epoch": 0.2, + "grad_norm": 1.9430742458377654, + "learning_rate": 1.8536393064762474e-05, + "loss": 0.987, + "step": 8454 + }, + { + "epoch": 0.2, + "grad_norm": 1.6307302497381633, + "learning_rate": 1.853599559883327e-05, + "loss": 0.9679, + "step": 8455 + }, + { + "epoch": 0.2, + "grad_norm": 1.764626494129648, + "learning_rate": 1.8535598083204792e-05, + "loss": 0.9237, + "step": 8456 + }, + { + "epoch": 0.2, + "grad_norm": 2.0303797692011303, + "learning_rate": 1.8535200517879364e-05, + "loss": 0.9227, + "step": 8457 + }, + { + "epoch": 0.2, + "grad_norm": 1.868553877740166, + "learning_rate": 1.8534802902859296e-05, + "loss": 0.901, + "step": 8458 + }, + { + "epoch": 0.2, + "grad_norm": 1.6851421224855956, + "learning_rate": 1.85344052381469e-05, + "loss": 0.9605, + "step": 8459 + }, + { + "epoch": 0.2, + "grad_norm": 1.575072277611008, + "learning_rate": 1.8534007523744498e-05, + "loss": 0.8138, + "step": 8460 + }, + { + "epoch": 0.2, + "grad_norm": 1.5613455354770787, + "learning_rate": 1.85336097596544e-05, + "loss": 0.9601, + "step": 8461 + }, + { + "epoch": 0.2, + "grad_norm": 2.105659097896622, + "learning_rate": 1.8533211945878928e-05, + "loss": 0.8703, + "step": 8462 + }, + { + "epoch": 0.2, + "grad_norm": 1.6486047009282803, + "learning_rate": 1.8532814082420393e-05, + "loss": 0.7567, + "step": 8463 + }, + { + "epoch": 0.2, + "grad_norm": 1.996049931400639, + "learning_rate": 1.8532416169281113e-05, + "loss": 0.927, + "step": 8464 + }, + { + "epoch": 0.2, + "grad_norm": 1.706697237340503, + "learning_rate": 1.8532018206463404e-05, + "loss": 0.9667, + "step": 8465 + }, + { + "epoch": 0.2, + "grad_norm": 1.918629619939082, + "learning_rate": 1.853162019396958e-05, + "loss": 0.8675, + "step": 8466 + }, + { + "epoch": 0.2, + "grad_norm": 0.8360610239022143, + "learning_rate": 1.8531222131801965e-05, + "loss": 0.705, + "step": 8467 + }, + { + "epoch": 0.2, + "grad_norm": 1.8886582591111896, + "learning_rate": 1.8530824019962877e-05, + "loss": 0.8795, + "step": 8468 + }, + { + "epoch": 0.2, + "grad_norm": 2.3565013531679844, + "learning_rate": 1.8530425858454627e-05, + "loss": 0.8995, + "step": 8469 + }, + { + "epoch": 0.2, + "grad_norm": 1.794714397692399, + "learning_rate": 1.853002764727954e-05, + "loss": 0.8128, + "step": 8470 + }, + { + "epoch": 0.2, + "grad_norm": 3.4004503492197014, + "learning_rate": 1.8529629386439933e-05, + "loss": 0.9413, + "step": 8471 + }, + { + "epoch": 0.2, + "grad_norm": 7.240404289492165, + "learning_rate": 1.8529231075938117e-05, + "loss": 0.866, + "step": 8472 + }, + { + "epoch": 0.2, + "grad_norm": 1.9363687666780967, + "learning_rate": 1.8528832715776422e-05, + "loss": 0.9123, + "step": 8473 + }, + { + "epoch": 0.2, + "grad_norm": 0.817198883027449, + "learning_rate": 1.852843430595716e-05, + "loss": 0.7548, + "step": 8474 + }, + { + "epoch": 0.2, + "grad_norm": 1.8609026508459865, + "learning_rate": 1.8528035846482656e-05, + "loss": 0.8862, + "step": 8475 + }, + { + "epoch": 0.2, + "grad_norm": 0.8053971331015473, + "learning_rate": 1.8527637337355225e-05, + "loss": 0.7388, + "step": 8476 + }, + { + "epoch": 0.2, + "grad_norm": 1.9753474896812986, + "learning_rate": 1.852723877857719e-05, + "loss": 1.0256, + "step": 8477 + }, + { + "epoch": 0.2, + "grad_norm": 1.7174424021022057, + "learning_rate": 1.8526840170150874e-05, + "loss": 0.9432, + "step": 8478 + }, + { + "epoch": 0.2, + "grad_norm": 0.8685987056867268, + "learning_rate": 1.852644151207859e-05, + "loss": 0.8133, + "step": 8479 + }, + { + "epoch": 0.2, + "grad_norm": 2.1612440830500605, + "learning_rate": 1.8526042804362666e-05, + "loss": 0.9538, + "step": 8480 + }, + { + "epoch": 0.2, + "grad_norm": 1.6390894845335848, + "learning_rate": 1.852564404700542e-05, + "loss": 0.8637, + "step": 8481 + }, + { + "epoch": 0.2, + "grad_norm": 1.6453957655895917, + "learning_rate": 1.852524524000918e-05, + "loss": 0.8041, + "step": 8482 + }, + { + "epoch": 0.2, + "grad_norm": 2.1871658819611537, + "learning_rate": 1.852484638337626e-05, + "loss": 0.8828, + "step": 8483 + }, + { + "epoch": 0.2, + "grad_norm": 1.8242511446453522, + "learning_rate": 1.852444747710899e-05, + "loss": 0.9101, + "step": 8484 + }, + { + "epoch": 0.2, + "grad_norm": 2.0883690904275585, + "learning_rate": 1.852404852120968e-05, + "loss": 0.9346, + "step": 8485 + }, + { + "epoch": 0.2, + "grad_norm": 1.6121165720108215, + "learning_rate": 1.852364951568067e-05, + "loss": 0.9024, + "step": 8486 + }, + { + "epoch": 0.2, + "grad_norm": 1.7775002962117965, + "learning_rate": 1.8523250460524264e-05, + "loss": 0.9171, + "step": 8487 + }, + { + "epoch": 0.2, + "grad_norm": 1.539935006661114, + "learning_rate": 1.85228513557428e-05, + "loss": 0.9722, + "step": 8488 + }, + { + "epoch": 0.2, + "grad_norm": 2.057728556712492, + "learning_rate": 1.85224522013386e-05, + "loss": 0.9659, + "step": 8489 + }, + { + "epoch": 0.2, + "grad_norm": 3.2605612684780856, + "learning_rate": 1.8522052997313982e-05, + "loss": 0.8696, + "step": 8490 + }, + { + "epoch": 0.2, + "grad_norm": 1.5498246663636537, + "learning_rate": 1.8521653743671276e-05, + "loss": 0.8762, + "step": 8491 + }, + { + "epoch": 0.2, + "grad_norm": 1.9679863982971697, + "learning_rate": 1.8521254440412798e-05, + "loss": 0.9755, + "step": 8492 + }, + { + "epoch": 0.2, + "grad_norm": 1.9634919705301486, + "learning_rate": 1.8520855087540887e-05, + "loss": 0.8852, + "step": 8493 + }, + { + "epoch": 0.2, + "grad_norm": 1.5454441686965754, + "learning_rate": 1.8520455685057856e-05, + "loss": 0.8163, + "step": 8494 + }, + { + "epoch": 0.2, + "grad_norm": 1.8317514899825185, + "learning_rate": 1.8520056232966033e-05, + "loss": 0.8795, + "step": 8495 + }, + { + "epoch": 0.2, + "grad_norm": 1.787377926218575, + "learning_rate": 1.8519656731267746e-05, + "loss": 0.9423, + "step": 8496 + }, + { + "epoch": 0.2, + "grad_norm": 1.6616529470916621, + "learning_rate": 1.8519257179965322e-05, + "loss": 0.8662, + "step": 8497 + }, + { + "epoch": 0.2, + "grad_norm": 0.7526405043291478, + "learning_rate": 1.8518857579061083e-05, + "loss": 0.7212, + "step": 8498 + }, + { + "epoch": 0.2, + "grad_norm": 1.8094338750909014, + "learning_rate": 1.851845792855736e-05, + "loss": 0.9188, + "step": 8499 + }, + { + "epoch": 0.2, + "grad_norm": 1.99187073202312, + "learning_rate": 1.8518058228456478e-05, + "loss": 0.9931, + "step": 8500 + }, + { + "epoch": 0.2, + "grad_norm": 1.535045687914837, + "learning_rate": 1.851765847876076e-05, + "loss": 0.8116, + "step": 8501 + }, + { + "epoch": 0.2, + "grad_norm": 1.937380496151916, + "learning_rate": 1.8517258679472546e-05, + "loss": 0.9455, + "step": 8502 + }, + { + "epoch": 0.2, + "grad_norm": 1.6181966518476965, + "learning_rate": 1.851685883059415e-05, + "loss": 0.9334, + "step": 8503 + }, + { + "epoch": 0.2, + "grad_norm": 1.7546706351655366, + "learning_rate": 1.8516458932127906e-05, + "loss": 0.9779, + "step": 8504 + }, + { + "epoch": 0.2, + "grad_norm": 1.667290964012016, + "learning_rate": 1.8516058984076145e-05, + "loss": 0.8695, + "step": 8505 + }, + { + "epoch": 0.2, + "grad_norm": 1.6138477160058102, + "learning_rate": 1.851565898644119e-05, + "loss": 0.8523, + "step": 8506 + }, + { + "epoch": 0.2, + "grad_norm": 1.6618926080839702, + "learning_rate": 1.851525893922537e-05, + "loss": 1.0215, + "step": 8507 + }, + { + "epoch": 0.2, + "grad_norm": 1.6146601685837225, + "learning_rate": 1.8514858842431017e-05, + "loss": 0.7908, + "step": 8508 + }, + { + "epoch": 0.2, + "grad_norm": 2.249518876509936, + "learning_rate": 1.8514458696060463e-05, + "loss": 0.9511, + "step": 8509 + }, + { + "epoch": 0.2, + "grad_norm": 1.6158594754679874, + "learning_rate": 1.8514058500116033e-05, + "loss": 0.7815, + "step": 8510 + }, + { + "epoch": 0.2, + "grad_norm": 1.5409367684358848, + "learning_rate": 1.851365825460006e-05, + "loss": 0.8879, + "step": 8511 + }, + { + "epoch": 0.2, + "grad_norm": 2.1697349749643573, + "learning_rate": 1.851325795951487e-05, + "loss": 0.8049, + "step": 8512 + }, + { + "epoch": 0.2, + "grad_norm": 1.5960580393426071, + "learning_rate": 1.85128576148628e-05, + "loss": 0.8145, + "step": 8513 + }, + { + "epoch": 0.2, + "grad_norm": 1.9827969165791595, + "learning_rate": 1.851245722064618e-05, + "loss": 0.7953, + "step": 8514 + }, + { + "epoch": 0.2, + "grad_norm": 1.6682022407683916, + "learning_rate": 1.8512056776867335e-05, + "loss": 0.8842, + "step": 8515 + }, + { + "epoch": 0.2, + "grad_norm": 1.5677347014568361, + "learning_rate": 1.8511656283528603e-05, + "loss": 0.7634, + "step": 8516 + }, + { + "epoch": 0.2, + "grad_norm": 1.6065840386941106, + "learning_rate": 1.851125574063231e-05, + "loss": 0.8404, + "step": 8517 + }, + { + "epoch": 0.2, + "grad_norm": 1.6815569815944067, + "learning_rate": 1.8510855148180794e-05, + "loss": 0.9745, + "step": 8518 + }, + { + "epoch": 0.2, + "grad_norm": 1.743000710437514, + "learning_rate": 1.851045450617639e-05, + "loss": 0.8907, + "step": 8519 + }, + { + "epoch": 0.2, + "grad_norm": 2.2021486823548098, + "learning_rate": 1.8510053814621417e-05, + "loss": 0.8812, + "step": 8520 + }, + { + "epoch": 0.2, + "grad_norm": 1.5296473446746053, + "learning_rate": 1.850965307351822e-05, + "loss": 0.9723, + "step": 8521 + }, + { + "epoch": 0.2, + "grad_norm": 1.6942146581481234, + "learning_rate": 1.8509252282869127e-05, + "loss": 0.9978, + "step": 8522 + }, + { + "epoch": 0.2, + "grad_norm": 1.6545101047914004, + "learning_rate": 1.8508851442676475e-05, + "loss": 0.9208, + "step": 8523 + }, + { + "epoch": 0.2, + "grad_norm": 2.014450653007087, + "learning_rate": 1.8508450552942597e-05, + "loss": 0.9178, + "step": 8524 + }, + { + "epoch": 0.2, + "grad_norm": 1.6990550428899402, + "learning_rate": 1.8508049613669824e-05, + "loss": 0.9737, + "step": 8525 + }, + { + "epoch": 0.2, + "grad_norm": 2.1096192457488008, + "learning_rate": 1.850764862486049e-05, + "loss": 0.9065, + "step": 8526 + }, + { + "epoch": 0.2, + "grad_norm": 1.7661350834629004, + "learning_rate": 1.850724758651694e-05, + "loss": 1.0323, + "step": 8527 + }, + { + "epoch": 0.2, + "grad_norm": 0.8139233357976647, + "learning_rate": 1.8506846498641496e-05, + "loss": 0.7282, + "step": 8528 + }, + { + "epoch": 0.2, + "grad_norm": 2.2175542816521463, + "learning_rate": 1.8506445361236502e-05, + "loss": 0.962, + "step": 8529 + }, + { + "epoch": 0.2, + "grad_norm": 2.027066081797319, + "learning_rate": 1.8506044174304282e-05, + "loss": 0.8533, + "step": 8530 + }, + { + "epoch": 0.2, + "grad_norm": 1.6241337945459107, + "learning_rate": 1.8505642937847188e-05, + "loss": 1.0138, + "step": 8531 + }, + { + "epoch": 0.2, + "grad_norm": 1.59776564198221, + "learning_rate": 1.8505241651867543e-05, + "loss": 0.7683, + "step": 8532 + }, + { + "epoch": 0.2, + "grad_norm": 2.0683681980445576, + "learning_rate": 1.8504840316367692e-05, + "loss": 0.956, + "step": 8533 + }, + { + "epoch": 0.2, + "grad_norm": 1.7964661731922056, + "learning_rate": 1.8504438931349967e-05, + "loss": 0.8988, + "step": 8534 + }, + { + "epoch": 0.2, + "grad_norm": 1.709366049976162, + "learning_rate": 1.8504037496816708e-05, + "loss": 0.9086, + "step": 8535 + }, + { + "epoch": 0.2, + "grad_norm": 1.9101120818076478, + "learning_rate": 1.8503636012770247e-05, + "loss": 0.8495, + "step": 8536 + }, + { + "epoch": 0.2, + "grad_norm": 1.7108145186101669, + "learning_rate": 1.8503234479212924e-05, + "loss": 0.8917, + "step": 8537 + }, + { + "epoch": 0.2, + "grad_norm": 1.4899360837187816, + "learning_rate": 1.850283289614708e-05, + "loss": 0.9344, + "step": 8538 + }, + { + "epoch": 0.2, + "grad_norm": 1.9894166866962084, + "learning_rate": 1.850243126357505e-05, + "loss": 0.8684, + "step": 8539 + }, + { + "epoch": 0.2, + "grad_norm": 2.1156382734973027, + "learning_rate": 1.8502029581499173e-05, + "loss": 0.9265, + "step": 8540 + }, + { + "epoch": 0.2, + "grad_norm": 1.7292380634258262, + "learning_rate": 1.850162784992179e-05, + "loss": 0.9365, + "step": 8541 + }, + { + "epoch": 0.2, + "grad_norm": 1.8833082966899335, + "learning_rate": 1.8501226068845238e-05, + "loss": 1.0139, + "step": 8542 + }, + { + "epoch": 0.2, + "grad_norm": 1.5573523253258177, + "learning_rate": 1.8500824238271855e-05, + "loss": 0.9441, + "step": 8543 + }, + { + "epoch": 0.2, + "grad_norm": 1.549032698870728, + "learning_rate": 1.8500422358203982e-05, + "loss": 0.802, + "step": 8544 + }, + { + "epoch": 0.2, + "grad_norm": 1.6826808163481308, + "learning_rate": 1.850002042864396e-05, + "loss": 0.8737, + "step": 8545 + }, + { + "epoch": 0.2, + "grad_norm": 1.7142441347780606, + "learning_rate": 1.849961844959413e-05, + "loss": 0.9322, + "step": 8546 + }, + { + "epoch": 0.2, + "grad_norm": 1.5116872974414808, + "learning_rate": 1.8499216421056823e-05, + "loss": 0.8624, + "step": 8547 + }, + { + "epoch": 0.2, + "grad_norm": 2.839821453839946, + "learning_rate": 1.8498814343034396e-05, + "loss": 0.9695, + "step": 8548 + }, + { + "epoch": 0.2, + "grad_norm": 1.8172716373730189, + "learning_rate": 1.8498412215529175e-05, + "loss": 0.8692, + "step": 8549 + }, + { + "epoch": 0.2, + "grad_norm": 0.8025677161105773, + "learning_rate": 1.849801003854351e-05, + "loss": 0.7457, + "step": 8550 + }, + { + "epoch": 0.2, + "grad_norm": 1.9506045722651408, + "learning_rate": 1.849760781207974e-05, + "loss": 0.8989, + "step": 8551 + }, + { + "epoch": 0.2, + "grad_norm": 1.5758824462352072, + "learning_rate": 1.8497205536140207e-05, + "loss": 0.9542, + "step": 8552 + }, + { + "epoch": 0.2, + "grad_norm": 2.072715516024121, + "learning_rate": 1.8496803210727252e-05, + "loss": 0.8753, + "step": 8553 + }, + { + "epoch": 0.2, + "grad_norm": 1.6065007002030396, + "learning_rate": 1.8496400835843223e-05, + "loss": 0.9206, + "step": 8554 + }, + { + "epoch": 0.2, + "grad_norm": 1.5786061517034995, + "learning_rate": 1.849599841149045e-05, + "loss": 0.8963, + "step": 8555 + }, + { + "epoch": 0.2, + "grad_norm": 1.6125663963562167, + "learning_rate": 1.8495595937671293e-05, + "loss": 1.0028, + "step": 8556 + }, + { + "epoch": 0.2, + "grad_norm": 1.7473307797744644, + "learning_rate": 1.8495193414388084e-05, + "loss": 0.9022, + "step": 8557 + }, + { + "epoch": 0.2, + "grad_norm": 2.0979686281560412, + "learning_rate": 1.849479084164317e-05, + "loss": 0.9059, + "step": 8558 + }, + { + "epoch": 0.2, + "grad_norm": 2.0627934535422883, + "learning_rate": 1.8494388219438892e-05, + "loss": 0.8586, + "step": 8559 + }, + { + "epoch": 0.2, + "grad_norm": 2.270367685526462, + "learning_rate": 1.8493985547777598e-05, + "loss": 0.9881, + "step": 8560 + }, + { + "epoch": 0.2, + "grad_norm": 1.5499238459372044, + "learning_rate": 1.8493582826661628e-05, + "loss": 0.985, + "step": 8561 + }, + { + "epoch": 0.2, + "grad_norm": 0.7716640461624483, + "learning_rate": 1.8493180056093334e-05, + "loss": 0.7494, + "step": 8562 + }, + { + "epoch": 0.2, + "grad_norm": 1.6807207373360855, + "learning_rate": 1.8492777236075056e-05, + "loss": 0.7725, + "step": 8563 + }, + { + "epoch": 0.2, + "grad_norm": 1.6117713912402878, + "learning_rate": 1.849237436660914e-05, + "loss": 0.8378, + "step": 8564 + }, + { + "epoch": 0.2, + "grad_norm": 1.632873654539316, + "learning_rate": 1.849197144769793e-05, + "loss": 0.9057, + "step": 8565 + }, + { + "epoch": 0.2, + "grad_norm": 1.7212984774813707, + "learning_rate": 1.8491568479343775e-05, + "loss": 0.8733, + "step": 8566 + }, + { + "epoch": 0.2, + "grad_norm": 1.6566263458833554, + "learning_rate": 1.849116546154902e-05, + "loss": 1.0447, + "step": 8567 + }, + { + "epoch": 0.2, + "grad_norm": 1.4470360683020318, + "learning_rate": 1.849076239431601e-05, + "loss": 0.8616, + "step": 8568 + }, + { + "epoch": 0.2, + "grad_norm": 1.507131370211232, + "learning_rate": 1.8490359277647096e-05, + "loss": 0.8953, + "step": 8569 + }, + { + "epoch": 0.2, + "grad_norm": 1.7127486300103063, + "learning_rate": 1.8489956111544624e-05, + "loss": 0.8803, + "step": 8570 + }, + { + "epoch": 0.2, + "grad_norm": 1.4557805739964864, + "learning_rate": 1.8489552896010932e-05, + "loss": 0.7982, + "step": 8571 + }, + { + "epoch": 0.2, + "grad_norm": 1.9635993636865947, + "learning_rate": 1.8489149631048378e-05, + "loss": 0.9414, + "step": 8572 + }, + { + "epoch": 0.2, + "grad_norm": 1.8755198372601003, + "learning_rate": 1.848874631665931e-05, + "loss": 0.9856, + "step": 8573 + }, + { + "epoch": 0.2, + "grad_norm": 1.6928747857611672, + "learning_rate": 1.8488342952846074e-05, + "loss": 0.8769, + "step": 8574 + }, + { + "epoch": 0.2, + "grad_norm": 1.786746828573641, + "learning_rate": 1.8487939539611016e-05, + "loss": 0.9355, + "step": 8575 + }, + { + "epoch": 0.2, + "grad_norm": 1.6387873140303921, + "learning_rate": 1.8487536076956488e-05, + "loss": 0.9004, + "step": 8576 + }, + { + "epoch": 0.2, + "grad_norm": 1.610264467981291, + "learning_rate": 1.8487132564884835e-05, + "loss": 0.836, + "step": 8577 + }, + { + "epoch": 0.2, + "grad_norm": 2.0269280573064115, + "learning_rate": 1.848672900339841e-05, + "loss": 1.0369, + "step": 8578 + }, + { + "epoch": 0.2, + "grad_norm": 1.5469705227506703, + "learning_rate": 1.848632539249957e-05, + "loss": 0.8928, + "step": 8579 + }, + { + "epoch": 0.2, + "grad_norm": 0.8261533412527079, + "learning_rate": 1.8485921732190644e-05, + "loss": 0.735, + "step": 8580 + }, + { + "epoch": 0.2, + "grad_norm": 2.18527784341083, + "learning_rate": 1.8485518022474004e-05, + "loss": 0.8952, + "step": 8581 + }, + { + "epoch": 0.2, + "grad_norm": 1.9103762677074283, + "learning_rate": 1.8485114263351988e-05, + "loss": 0.971, + "step": 8582 + }, + { + "epoch": 0.2, + "grad_norm": 1.8390993299470144, + "learning_rate": 1.8484710454826952e-05, + "loss": 0.9376, + "step": 8583 + }, + { + "epoch": 0.2, + "grad_norm": 1.9187390792051777, + "learning_rate": 1.8484306596901243e-05, + "loss": 0.9989, + "step": 8584 + }, + { + "epoch": 0.2, + "grad_norm": 1.6246531817695946, + "learning_rate": 1.8483902689577217e-05, + "loss": 0.8798, + "step": 8585 + }, + { + "epoch": 0.2, + "grad_norm": 2.0948429126760324, + "learning_rate": 1.8483498732857224e-05, + "loss": 0.7424, + "step": 8586 + }, + { + "epoch": 0.2, + "grad_norm": 0.7691338978667127, + "learning_rate": 1.8483094726743613e-05, + "loss": 0.7356, + "step": 8587 + }, + { + "epoch": 0.2, + "grad_norm": 1.9329577294317484, + "learning_rate": 1.8482690671238738e-05, + "loss": 0.7533, + "step": 8588 + }, + { + "epoch": 0.2, + "grad_norm": 2.068104068708287, + "learning_rate": 1.8482286566344957e-05, + "loss": 0.8973, + "step": 8589 + }, + { + "epoch": 0.2, + "grad_norm": 2.0941071795444204, + "learning_rate": 1.8481882412064616e-05, + "loss": 0.9331, + "step": 8590 + }, + { + "epoch": 0.2, + "grad_norm": 1.7417406567863543, + "learning_rate": 1.848147820840007e-05, + "loss": 0.9236, + "step": 8591 + }, + { + "epoch": 0.2, + "grad_norm": 2.233786682132495, + "learning_rate": 1.8481073955353673e-05, + "loss": 0.8086, + "step": 8592 + }, + { + "epoch": 0.2, + "grad_norm": 2.138533006570326, + "learning_rate": 1.8480669652927778e-05, + "loss": 0.9629, + "step": 8593 + }, + { + "epoch": 0.2, + "grad_norm": 1.734978783003305, + "learning_rate": 1.848026530112474e-05, + "loss": 0.8002, + "step": 8594 + }, + { + "epoch": 0.2, + "grad_norm": 1.5909867746423096, + "learning_rate": 1.8479860899946912e-05, + "loss": 0.8145, + "step": 8595 + }, + { + "epoch": 0.2, + "grad_norm": 1.7630520895936856, + "learning_rate": 1.847945644939665e-05, + "loss": 0.7528, + "step": 8596 + }, + { + "epoch": 0.2, + "grad_norm": 1.6197586078616397, + "learning_rate": 1.8479051949476307e-05, + "loss": 0.8971, + "step": 8597 + }, + { + "epoch": 0.2, + "grad_norm": 1.40625727063028, + "learning_rate": 1.847864740018824e-05, + "loss": 0.9698, + "step": 8598 + }, + { + "epoch": 0.2, + "grad_norm": 0.7646931636924501, + "learning_rate": 1.8478242801534803e-05, + "loss": 0.7904, + "step": 8599 + }, + { + "epoch": 0.2, + "grad_norm": 0.7809517316561204, + "learning_rate": 1.8477838153518354e-05, + "loss": 0.7442, + "step": 8600 + }, + { + "epoch": 0.2, + "grad_norm": 1.5546340193742207, + "learning_rate": 1.8477433456141242e-05, + "loss": 0.9671, + "step": 8601 + }, + { + "epoch": 0.2, + "grad_norm": 1.7214664729122142, + "learning_rate": 1.8477028709405834e-05, + "loss": 0.8984, + "step": 8602 + }, + { + "epoch": 0.2, + "grad_norm": 1.7360432840761781, + "learning_rate": 1.8476623913314476e-05, + "loss": 0.8788, + "step": 8603 + }, + { + "epoch": 0.2, + "grad_norm": 1.7560534721183783, + "learning_rate": 1.8476219067869534e-05, + "loss": 0.9427, + "step": 8604 + }, + { + "epoch": 0.2, + "grad_norm": 1.5690711696928483, + "learning_rate": 1.847581417307336e-05, + "loss": 0.8101, + "step": 8605 + }, + { + "epoch": 0.2, + "grad_norm": 1.6548587164902386, + "learning_rate": 1.8475409228928314e-05, + "loss": 0.8858, + "step": 8606 + }, + { + "epoch": 0.2, + "grad_norm": 1.8209542793896, + "learning_rate": 1.847500423543675e-05, + "loss": 0.9396, + "step": 8607 + }, + { + "epoch": 0.2, + "grad_norm": 0.7833520396253223, + "learning_rate": 1.847459919260103e-05, + "loss": 0.7567, + "step": 8608 + }, + { + "epoch": 0.2, + "grad_norm": 1.7060311663794832, + "learning_rate": 1.8474194100423508e-05, + "loss": 0.8774, + "step": 8609 + }, + { + "epoch": 0.2, + "grad_norm": 1.6084929292211831, + "learning_rate": 1.8473788958906548e-05, + "loss": 0.8693, + "step": 8610 + }, + { + "epoch": 0.2, + "grad_norm": 1.8381585501389714, + "learning_rate": 1.8473383768052504e-05, + "loss": 0.7536, + "step": 8611 + }, + { + "epoch": 0.2, + "grad_norm": 1.864025386247005, + "learning_rate": 1.8472978527863737e-05, + "loss": 0.8647, + "step": 8612 + }, + { + "epoch": 0.2, + "grad_norm": 1.713892218007599, + "learning_rate": 1.8472573238342606e-05, + "loss": 0.954, + "step": 8613 + }, + { + "epoch": 0.2, + "grad_norm": 2.2350819780796356, + "learning_rate": 1.8472167899491472e-05, + "loss": 1.0373, + "step": 8614 + }, + { + "epoch": 0.2, + "grad_norm": 1.5264569347746673, + "learning_rate": 1.8471762511312693e-05, + "loss": 0.9809, + "step": 8615 + }, + { + "epoch": 0.2, + "grad_norm": 1.7568500529927398, + "learning_rate": 1.8471357073808635e-05, + "loss": 0.9656, + "step": 8616 + }, + { + "epoch": 0.2, + "grad_norm": 1.7320098041314984, + "learning_rate": 1.8470951586981648e-05, + "loss": 1.0898, + "step": 8617 + }, + { + "epoch": 0.2, + "grad_norm": 1.7854762114210376, + "learning_rate": 1.8470546050834104e-05, + "loss": 0.9249, + "step": 8618 + }, + { + "epoch": 0.2, + "grad_norm": 1.5440913657182778, + "learning_rate": 1.8470140465368355e-05, + "loss": 0.9792, + "step": 8619 + }, + { + "epoch": 0.2, + "grad_norm": 1.6360225981410705, + "learning_rate": 1.8469734830586773e-05, + "loss": 0.9749, + "step": 8620 + }, + { + "epoch": 0.2, + "grad_norm": 1.514550134913989, + "learning_rate": 1.8469329146491708e-05, + "loss": 0.8171, + "step": 8621 + }, + { + "epoch": 0.2, + "grad_norm": 1.8188042454051414, + "learning_rate": 1.846892341308553e-05, + "loss": 0.845, + "step": 8622 + }, + { + "epoch": 0.2, + "grad_norm": 1.9055713778237737, + "learning_rate": 1.8468517630370594e-05, + "loss": 0.8301, + "step": 8623 + }, + { + "epoch": 0.2, + "grad_norm": 2.6632844649535294, + "learning_rate": 1.846811179834927e-05, + "loss": 1.0765, + "step": 8624 + }, + { + "epoch": 0.2, + "grad_norm": 1.8443007211161917, + "learning_rate": 1.846770591702392e-05, + "loss": 0.943, + "step": 8625 + }, + { + "epoch": 0.2, + "grad_norm": 1.9453977723000593, + "learning_rate": 1.8467299986396903e-05, + "loss": 0.9942, + "step": 8626 + }, + { + "epoch": 0.2, + "grad_norm": 1.6921202320530098, + "learning_rate": 1.8466894006470588e-05, + "loss": 0.7878, + "step": 8627 + }, + { + "epoch": 0.2, + "grad_norm": 1.6476908826025745, + "learning_rate": 1.846648797724733e-05, + "loss": 0.8202, + "step": 8628 + }, + { + "epoch": 0.2, + "grad_norm": 0.8044355081115757, + "learning_rate": 1.8466081898729507e-05, + "loss": 0.7629, + "step": 8629 + }, + { + "epoch": 0.2, + "grad_norm": 1.6724914997261517, + "learning_rate": 1.8465675770919468e-05, + "loss": 0.9942, + "step": 8630 + }, + { + "epoch": 0.2, + "grad_norm": 1.412288430984325, + "learning_rate": 1.8465269593819586e-05, + "loss": 0.8426, + "step": 8631 + }, + { + "epoch": 0.2, + "grad_norm": 1.8624186655961257, + "learning_rate": 1.8464863367432225e-05, + "loss": 0.8379, + "step": 8632 + }, + { + "epoch": 0.2, + "grad_norm": 1.8367948181276124, + "learning_rate": 1.8464457091759748e-05, + "loss": 0.8496, + "step": 8633 + }, + { + "epoch": 0.2, + "grad_norm": 2.065663367071242, + "learning_rate": 1.8464050766804526e-05, + "loss": 0.9464, + "step": 8634 + }, + { + "epoch": 0.2, + "grad_norm": 1.6017992203064846, + "learning_rate": 1.8463644392568916e-05, + "loss": 0.7825, + "step": 8635 + }, + { + "epoch": 0.2, + "grad_norm": 1.9880240467432448, + "learning_rate": 1.846323796905529e-05, + "loss": 0.9619, + "step": 8636 + }, + { + "epoch": 0.2, + "grad_norm": 2.1953762513062003, + "learning_rate": 1.8462831496266013e-05, + "loss": 0.9619, + "step": 8637 + }, + { + "epoch": 0.2, + "grad_norm": 1.7930739111956484, + "learning_rate": 1.8462424974203452e-05, + "loss": 0.865, + "step": 8638 + }, + { + "epoch": 0.2, + "grad_norm": 1.7961762861189827, + "learning_rate": 1.8462018402869977e-05, + "loss": 0.9025, + "step": 8639 + }, + { + "epoch": 0.2, + "grad_norm": 1.6976777833264385, + "learning_rate": 1.8461611782267947e-05, + "loss": 0.8659, + "step": 8640 + }, + { + "epoch": 0.2, + "grad_norm": 1.543339744444445, + "learning_rate": 1.8461205112399736e-05, + "loss": 0.9059, + "step": 8641 + }, + { + "epoch": 0.2, + "grad_norm": 1.8509996472305668, + "learning_rate": 1.8460798393267713e-05, + "loss": 0.8045, + "step": 8642 + }, + { + "epoch": 0.2, + "grad_norm": 2.176871552572001, + "learning_rate": 1.846039162487424e-05, + "loss": 0.8302, + "step": 8643 + }, + { + "epoch": 0.2, + "grad_norm": 1.5615835385508947, + "learning_rate": 1.8459984807221686e-05, + "loss": 0.9818, + "step": 8644 + }, + { + "epoch": 0.2, + "grad_norm": 1.5326339891984404, + "learning_rate": 1.845957794031243e-05, + "loss": 0.826, + "step": 8645 + }, + { + "epoch": 0.2, + "grad_norm": 2.5937817315818057, + "learning_rate": 1.8459171024148826e-05, + "loss": 0.8112, + "step": 8646 + }, + { + "epoch": 0.2, + "grad_norm": 1.9506305886408928, + "learning_rate": 1.845876405873325e-05, + "loss": 0.9696, + "step": 8647 + }, + { + "epoch": 0.2, + "grad_norm": 1.771379497752999, + "learning_rate": 1.8458357044068073e-05, + "loss": 0.9242, + "step": 8648 + }, + { + "epoch": 0.2, + "grad_norm": 7.8260476860600985, + "learning_rate": 1.8457949980155666e-05, + "loss": 0.9896, + "step": 8649 + }, + { + "epoch": 0.2, + "grad_norm": 1.5745924764372936, + "learning_rate": 1.8457542866998394e-05, + "loss": 0.9201, + "step": 8650 + }, + { + "epoch": 0.2, + "grad_norm": 1.556396494248334, + "learning_rate": 1.8457135704598634e-05, + "loss": 0.9316, + "step": 8651 + }, + { + "epoch": 0.2, + "grad_norm": 1.5632825100121932, + "learning_rate": 1.8456728492958748e-05, + "loss": 0.8923, + "step": 8652 + }, + { + "epoch": 0.2, + "grad_norm": 2.2038229999667442, + "learning_rate": 1.845632123208111e-05, + "loss": 0.9217, + "step": 8653 + }, + { + "epoch": 0.2, + "grad_norm": 1.694996269496756, + "learning_rate": 1.8455913921968095e-05, + "loss": 0.9132, + "step": 8654 + }, + { + "epoch": 0.2, + "grad_norm": 1.7558508925556586, + "learning_rate": 1.845550656262207e-05, + "loss": 0.9265, + "step": 8655 + }, + { + "epoch": 0.2, + "grad_norm": 1.8183946056453737, + "learning_rate": 1.8455099154045416e-05, + "loss": 1.0041, + "step": 8656 + }, + { + "epoch": 0.2, + "grad_norm": 0.7700852022797172, + "learning_rate": 1.8454691696240493e-05, + "loss": 0.7228, + "step": 8657 + }, + { + "epoch": 0.2, + "grad_norm": 2.5911045268716943, + "learning_rate": 1.8454284189209674e-05, + "loss": 0.8768, + "step": 8658 + }, + { + "epoch": 0.2, + "grad_norm": 2.0584105921039053, + "learning_rate": 1.8453876632955342e-05, + "loss": 0.8738, + "step": 8659 + }, + { + "epoch": 0.2, + "grad_norm": 1.7612661673566286, + "learning_rate": 1.845346902747986e-05, + "loss": 0.8607, + "step": 8660 + }, + { + "epoch": 0.2, + "grad_norm": 0.7740357408304065, + "learning_rate": 1.8453061372785605e-05, + "loss": 0.7606, + "step": 8661 + }, + { + "epoch": 0.2, + "grad_norm": 1.911855199639178, + "learning_rate": 1.8452653668874954e-05, + "loss": 0.9219, + "step": 8662 + }, + { + "epoch": 0.2, + "grad_norm": 1.7666503142916472, + "learning_rate": 1.8452245915750276e-05, + "loss": 0.9015, + "step": 8663 + }, + { + "epoch": 0.2, + "grad_norm": 1.8704108638537524, + "learning_rate": 1.8451838113413946e-05, + "loss": 0.9598, + "step": 8664 + }, + { + "epoch": 0.2, + "grad_norm": 2.0587739092290716, + "learning_rate": 1.8451430261868336e-05, + "loss": 0.918, + "step": 8665 + }, + { + "epoch": 0.2, + "grad_norm": 0.7957689434076228, + "learning_rate": 1.8451022361115828e-05, + "loss": 0.7473, + "step": 8666 + }, + { + "epoch": 0.2, + "grad_norm": 1.6142652774146062, + "learning_rate": 1.845061441115879e-05, + "loss": 0.9023, + "step": 8667 + }, + { + "epoch": 0.2, + "grad_norm": 1.9356326775028867, + "learning_rate": 1.84502064119996e-05, + "loss": 0.9929, + "step": 8668 + }, + { + "epoch": 0.2, + "grad_norm": 1.5286199315237228, + "learning_rate": 1.844979836364063e-05, + "loss": 0.9842, + "step": 8669 + }, + { + "epoch": 0.2, + "grad_norm": 1.889064055342878, + "learning_rate": 1.8449390266084263e-05, + "loss": 0.8507, + "step": 8670 + }, + { + "epoch": 0.2, + "grad_norm": 0.7939909845284109, + "learning_rate": 1.8448982119332868e-05, + "loss": 0.7284, + "step": 8671 + }, + { + "epoch": 0.2, + "grad_norm": 1.5369832124830571, + "learning_rate": 1.8448573923388825e-05, + "loss": 1.033, + "step": 8672 + }, + { + "epoch": 0.2, + "grad_norm": 1.5086755488418715, + "learning_rate": 1.844816567825451e-05, + "loss": 0.9773, + "step": 8673 + }, + { + "epoch": 0.2, + "grad_norm": 2.1766050589267913, + "learning_rate": 1.8447757383932302e-05, + "loss": 0.8721, + "step": 8674 + }, + { + "epoch": 0.2, + "grad_norm": 2.014110915911494, + "learning_rate": 1.8447349040424572e-05, + "loss": 0.8955, + "step": 8675 + }, + { + "epoch": 0.2, + "grad_norm": 3.190163903614739, + "learning_rate": 1.8446940647733705e-05, + "loss": 0.9919, + "step": 8676 + }, + { + "epoch": 0.2, + "grad_norm": 2.468296673779067, + "learning_rate": 1.8446532205862072e-05, + "loss": 0.836, + "step": 8677 + }, + { + "epoch": 0.2, + "grad_norm": 0.7803226693834249, + "learning_rate": 1.8446123714812055e-05, + "loss": 0.7414, + "step": 8678 + }, + { + "epoch": 0.2, + "grad_norm": 1.6374069822417985, + "learning_rate": 1.8445715174586033e-05, + "loss": 0.8691, + "step": 8679 + }, + { + "epoch": 0.2, + "grad_norm": 0.750884750659187, + "learning_rate": 1.8445306585186384e-05, + "loss": 0.7228, + "step": 8680 + }, + { + "epoch": 0.2, + "grad_norm": 0.7584766523005914, + "learning_rate": 1.8444897946615486e-05, + "loss": 0.6897, + "step": 8681 + }, + { + "epoch": 0.2, + "grad_norm": 2.1674191642037677, + "learning_rate": 1.8444489258875718e-05, + "loss": 0.8688, + "step": 8682 + }, + { + "epoch": 0.2, + "grad_norm": 0.7290748554001172, + "learning_rate": 1.844408052196946e-05, + "loss": 0.7451, + "step": 8683 + }, + { + "epoch": 0.2, + "grad_norm": 2.1089531581273864, + "learning_rate": 1.8443671735899092e-05, + "loss": 0.9048, + "step": 8684 + }, + { + "epoch": 0.2, + "grad_norm": 1.5829558600037732, + "learning_rate": 1.8443262900666995e-05, + "loss": 0.9246, + "step": 8685 + }, + { + "epoch": 0.2, + "grad_norm": 1.8299027203373377, + "learning_rate": 1.8442854016275545e-05, + "loss": 0.9315, + "step": 8686 + }, + { + "epoch": 0.2, + "grad_norm": 1.6510231651006797, + "learning_rate": 1.8442445082727127e-05, + "loss": 0.9284, + "step": 8687 + }, + { + "epoch": 0.2, + "grad_norm": 0.8078237148091592, + "learning_rate": 1.8442036100024124e-05, + "loss": 0.7664, + "step": 8688 + }, + { + "epoch": 0.2, + "grad_norm": 1.82788756512805, + "learning_rate": 1.8441627068168914e-05, + "loss": 0.8788, + "step": 8689 + }, + { + "epoch": 0.2, + "grad_norm": 2.103215542426798, + "learning_rate": 1.8441217987163874e-05, + "loss": 0.7952, + "step": 8690 + }, + { + "epoch": 0.2, + "grad_norm": 1.9403406731356783, + "learning_rate": 1.8440808857011392e-05, + "loss": 1.0484, + "step": 8691 + }, + { + "epoch": 0.2, + "grad_norm": 1.7499368665660724, + "learning_rate": 1.844039967771385e-05, + "loss": 0.9217, + "step": 8692 + }, + { + "epoch": 0.2, + "grad_norm": 1.7972127311486283, + "learning_rate": 1.843999044927363e-05, + "loss": 0.9252, + "step": 8693 + }, + { + "epoch": 0.2, + "grad_norm": 1.6079803259657601, + "learning_rate": 1.843958117169311e-05, + "loss": 0.9017, + "step": 8694 + }, + { + "epoch": 0.2, + "grad_norm": 1.5075421014807944, + "learning_rate": 1.843917184497468e-05, + "loss": 0.9486, + "step": 8695 + }, + { + "epoch": 0.2, + "grad_norm": 1.6536990791278363, + "learning_rate": 1.843876246912072e-05, + "loss": 0.9472, + "step": 8696 + }, + { + "epoch": 0.2, + "grad_norm": 1.5767744789825073, + "learning_rate": 1.843835304413361e-05, + "loss": 0.9627, + "step": 8697 + }, + { + "epoch": 0.2, + "grad_norm": 0.8173478075519652, + "learning_rate": 1.8437943570015737e-05, + "loss": 0.7642, + "step": 8698 + }, + { + "epoch": 0.2, + "grad_norm": 1.5276352655520238, + "learning_rate": 1.843753404676949e-05, + "loss": 0.9349, + "step": 8699 + }, + { + "epoch": 0.2, + "grad_norm": 1.6879024429995648, + "learning_rate": 1.8437124474397247e-05, + "loss": 0.9005, + "step": 8700 + }, + { + "epoch": 0.2, + "grad_norm": 1.601152075501491, + "learning_rate": 1.843671485290139e-05, + "loss": 1.0045, + "step": 8701 + }, + { + "epoch": 0.21, + "grad_norm": 3.3355786389604094, + "learning_rate": 1.843630518228431e-05, + "loss": 0.9055, + "step": 8702 + }, + { + "epoch": 0.21, + "grad_norm": 1.5270808281265775, + "learning_rate": 1.843589546254839e-05, + "loss": 0.9029, + "step": 8703 + }, + { + "epoch": 0.21, + "grad_norm": 1.579477624042867, + "learning_rate": 1.8435485693696015e-05, + "loss": 0.9258, + "step": 8704 + }, + { + "epoch": 0.21, + "grad_norm": 1.6291759985728047, + "learning_rate": 1.8435075875729577e-05, + "loss": 0.9823, + "step": 8705 + }, + { + "epoch": 0.21, + "grad_norm": 0.8260369720874339, + "learning_rate": 1.843466600865145e-05, + "loss": 0.7112, + "step": 8706 + }, + { + "epoch": 0.21, + "grad_norm": 1.664297556911803, + "learning_rate": 1.843425609246403e-05, + "loss": 0.9082, + "step": 8707 + }, + { + "epoch": 0.21, + "grad_norm": 5.790271013601674, + "learning_rate": 1.8433846127169704e-05, + "loss": 0.7925, + "step": 8708 + }, + { + "epoch": 0.21, + "grad_norm": 0.7888243291145487, + "learning_rate": 1.843343611277085e-05, + "loss": 0.7424, + "step": 8709 + }, + { + "epoch": 0.21, + "grad_norm": 1.664280263581358, + "learning_rate": 1.8433026049269866e-05, + "loss": 0.8933, + "step": 8710 + }, + { + "epoch": 0.21, + "grad_norm": 1.946095974008104, + "learning_rate": 1.8432615936669133e-05, + "loss": 0.8957, + "step": 8711 + }, + { + "epoch": 0.21, + "grad_norm": 1.613966458824085, + "learning_rate": 1.8432205774971036e-05, + "loss": 0.8139, + "step": 8712 + }, + { + "epoch": 0.21, + "grad_norm": 0.8214170602688621, + "learning_rate": 1.8431795564177975e-05, + "loss": 0.7435, + "step": 8713 + }, + { + "epoch": 0.21, + "grad_norm": 1.859007123920347, + "learning_rate": 1.8431385304292324e-05, + "loss": 0.8914, + "step": 8714 + }, + { + "epoch": 0.21, + "grad_norm": 1.8901260178459418, + "learning_rate": 1.8430974995316482e-05, + "loss": 1.0191, + "step": 8715 + }, + { + "epoch": 0.21, + "grad_norm": 1.8662449808299357, + "learning_rate": 1.8430564637252835e-05, + "loss": 0.8944, + "step": 8716 + }, + { + "epoch": 0.21, + "grad_norm": 1.71946523544186, + "learning_rate": 1.843015423010377e-05, + "loss": 0.9414, + "step": 8717 + }, + { + "epoch": 0.21, + "grad_norm": 1.7459561344368961, + "learning_rate": 1.8429743773871678e-05, + "loss": 0.9056, + "step": 8718 + }, + { + "epoch": 0.21, + "grad_norm": 1.5273779113112655, + "learning_rate": 1.842933326855895e-05, + "loss": 0.8545, + "step": 8719 + }, + { + "epoch": 0.21, + "grad_norm": 3.556835924092473, + "learning_rate": 1.842892271416797e-05, + "loss": 0.9693, + "step": 8720 + }, + { + "epoch": 0.21, + "grad_norm": 1.5799568796933035, + "learning_rate": 1.842851211070114e-05, + "loss": 1.0202, + "step": 8721 + }, + { + "epoch": 0.21, + "grad_norm": 1.6237849809131009, + "learning_rate": 1.8428101458160843e-05, + "loss": 0.9891, + "step": 8722 + }, + { + "epoch": 0.21, + "grad_norm": 1.6586927523634185, + "learning_rate": 1.842769075654947e-05, + "loss": 0.9347, + "step": 8723 + }, + { + "epoch": 0.21, + "grad_norm": 2.2128328327549234, + "learning_rate": 1.842728000586941e-05, + "loss": 0.8692, + "step": 8724 + }, + { + "epoch": 0.21, + "grad_norm": 1.543025447537126, + "learning_rate": 1.8426869206123062e-05, + "loss": 0.8119, + "step": 8725 + }, + { + "epoch": 0.21, + "grad_norm": 2.0038927637501787, + "learning_rate": 1.8426458357312814e-05, + "loss": 0.8678, + "step": 8726 + }, + { + "epoch": 0.21, + "grad_norm": 2.000136428050431, + "learning_rate": 1.8426047459441053e-05, + "loss": 0.8031, + "step": 8727 + }, + { + "epoch": 0.21, + "grad_norm": 1.5176651809359438, + "learning_rate": 1.842563651251018e-05, + "loss": 0.9419, + "step": 8728 + }, + { + "epoch": 0.21, + "grad_norm": 1.8134676897475637, + "learning_rate": 1.842522551652258e-05, + "loss": 0.9023, + "step": 8729 + }, + { + "epoch": 0.21, + "grad_norm": 1.699183445819275, + "learning_rate": 1.8424814471480658e-05, + "loss": 0.9109, + "step": 8730 + }, + { + "epoch": 0.21, + "grad_norm": 2.2917382169323526, + "learning_rate": 1.842440337738679e-05, + "loss": 0.9069, + "step": 8731 + }, + { + "epoch": 0.21, + "grad_norm": 1.7205742905217556, + "learning_rate": 1.842399223424338e-05, + "loss": 0.8484, + "step": 8732 + }, + { + "epoch": 0.21, + "grad_norm": 1.6638262464283202, + "learning_rate": 1.8423581042052823e-05, + "loss": 0.8581, + "step": 8733 + }, + { + "epoch": 0.21, + "grad_norm": 1.6949820341813044, + "learning_rate": 1.842316980081751e-05, + "loss": 0.9103, + "step": 8734 + }, + { + "epoch": 0.21, + "grad_norm": 1.69131740212549, + "learning_rate": 1.8422758510539837e-05, + "loss": 0.825, + "step": 8735 + }, + { + "epoch": 0.21, + "grad_norm": 1.612800480920809, + "learning_rate": 1.8422347171222194e-05, + "loss": 0.7503, + "step": 8736 + }, + { + "epoch": 0.21, + "grad_norm": 1.9240631640248882, + "learning_rate": 1.8421935782866982e-05, + "loss": 0.9691, + "step": 8737 + }, + { + "epoch": 0.21, + "grad_norm": 1.6360968267438154, + "learning_rate": 1.842152434547659e-05, + "loss": 0.9679, + "step": 8738 + }, + { + "epoch": 0.21, + "grad_norm": 1.9435919205291328, + "learning_rate": 1.8421112859053417e-05, + "loss": 0.7978, + "step": 8739 + }, + { + "epoch": 0.21, + "grad_norm": 1.8057840433084786, + "learning_rate": 1.8420701323599865e-05, + "loss": 0.9486, + "step": 8740 + }, + { + "epoch": 0.21, + "grad_norm": 0.8048204845694881, + "learning_rate": 1.8420289739118318e-05, + "loss": 0.7116, + "step": 8741 + }, + { + "epoch": 0.21, + "grad_norm": 1.9021975041072126, + "learning_rate": 1.841987810561118e-05, + "loss": 0.8654, + "step": 8742 + }, + { + "epoch": 0.21, + "grad_norm": 1.7235374433417552, + "learning_rate": 1.8419466423080847e-05, + "loss": 0.8916, + "step": 8743 + }, + { + "epoch": 0.21, + "grad_norm": 2.280820576333117, + "learning_rate": 1.8419054691529715e-05, + "loss": 0.956, + "step": 8744 + }, + { + "epoch": 0.21, + "grad_norm": 1.5449493190216763, + "learning_rate": 1.841864291096018e-05, + "loss": 0.9763, + "step": 8745 + }, + { + "epoch": 0.21, + "grad_norm": 1.752678966705807, + "learning_rate": 1.841823108137464e-05, + "loss": 0.98, + "step": 8746 + }, + { + "epoch": 0.21, + "grad_norm": 0.7924943801977427, + "learning_rate": 1.8417819202775497e-05, + "loss": 0.7407, + "step": 8747 + }, + { + "epoch": 0.21, + "grad_norm": 5.912343970692861, + "learning_rate": 1.841740727516514e-05, + "loss": 1.0063, + "step": 8748 + }, + { + "epoch": 0.21, + "grad_norm": 1.7509980742426394, + "learning_rate": 1.8416995298545978e-05, + "loss": 0.9953, + "step": 8749 + }, + { + "epoch": 0.21, + "grad_norm": 1.6296568118382362, + "learning_rate": 1.84165832729204e-05, + "loss": 0.9085, + "step": 8750 + }, + { + "epoch": 0.21, + "grad_norm": 1.7245164620189348, + "learning_rate": 1.8416171198290812e-05, + "loss": 0.8562, + "step": 8751 + }, + { + "epoch": 0.21, + "grad_norm": 1.9343679819562072, + "learning_rate": 1.8415759074659614e-05, + "loss": 1.0302, + "step": 8752 + }, + { + "epoch": 0.21, + "grad_norm": 1.7164925032443785, + "learning_rate": 1.8415346902029196e-05, + "loss": 0.7767, + "step": 8753 + }, + { + "epoch": 0.21, + "grad_norm": 1.9589460439060122, + "learning_rate": 1.8414934680401968e-05, + "loss": 0.8477, + "step": 8754 + }, + { + "epoch": 0.21, + "grad_norm": 2.0281044670436175, + "learning_rate": 1.8414522409780328e-05, + "loss": 0.8654, + "step": 8755 + }, + { + "epoch": 0.21, + "grad_norm": 1.6900401712397104, + "learning_rate": 1.8414110090166672e-05, + "loss": 0.9934, + "step": 8756 + }, + { + "epoch": 0.21, + "grad_norm": 2.073835231084113, + "learning_rate": 1.84136977215634e-05, + "loss": 0.9707, + "step": 8757 + }, + { + "epoch": 0.21, + "grad_norm": 2.325351677324342, + "learning_rate": 1.8413285303972922e-05, + "loss": 0.8918, + "step": 8758 + }, + { + "epoch": 0.21, + "grad_norm": 1.8559822181264944, + "learning_rate": 1.8412872837397627e-05, + "loss": 0.9272, + "step": 8759 + }, + { + "epoch": 0.21, + "grad_norm": 1.6391420073608158, + "learning_rate": 1.841246032183993e-05, + "loss": 0.8463, + "step": 8760 + }, + { + "epoch": 0.21, + "grad_norm": 1.5807856917912748, + "learning_rate": 1.8412047757302222e-05, + "loss": 0.9184, + "step": 8761 + }, + { + "epoch": 0.21, + "grad_norm": 1.6318401412271941, + "learning_rate": 1.8411635143786906e-05, + "loss": 0.8499, + "step": 8762 + }, + { + "epoch": 0.21, + "grad_norm": 2.2575363361189895, + "learning_rate": 1.841122248129639e-05, + "loss": 0.8863, + "step": 8763 + }, + { + "epoch": 0.21, + "grad_norm": 1.8247762848548768, + "learning_rate": 1.8410809769833075e-05, + "loss": 0.8903, + "step": 8764 + }, + { + "epoch": 0.21, + "grad_norm": 1.7018917970228413, + "learning_rate": 1.8410397009399363e-05, + "loss": 0.9226, + "step": 8765 + }, + { + "epoch": 0.21, + "grad_norm": 1.5900609954603242, + "learning_rate": 1.8409984199997653e-05, + "loss": 0.844, + "step": 8766 + }, + { + "epoch": 0.21, + "grad_norm": 1.6918867531786175, + "learning_rate": 1.8409571341630358e-05, + "loss": 0.9296, + "step": 8767 + }, + { + "epoch": 0.21, + "grad_norm": 1.4545994292017335, + "learning_rate": 1.8409158434299872e-05, + "loss": 0.8482, + "step": 8768 + }, + { + "epoch": 0.21, + "grad_norm": 1.7940554328383427, + "learning_rate": 1.8408745478008602e-05, + "loss": 0.8949, + "step": 8769 + }, + { + "epoch": 0.21, + "grad_norm": 0.8228517813189073, + "learning_rate": 1.840833247275896e-05, + "loss": 0.7366, + "step": 8770 + }, + { + "epoch": 0.21, + "grad_norm": 1.4919146007881967, + "learning_rate": 1.8407919418553337e-05, + "loss": 0.9684, + "step": 8771 + }, + { + "epoch": 0.21, + "grad_norm": 1.452755174234879, + "learning_rate": 1.840750631539415e-05, + "loss": 0.8862, + "step": 8772 + }, + { + "epoch": 0.21, + "grad_norm": 1.6900434844824241, + "learning_rate": 1.84070931632838e-05, + "loss": 0.9048, + "step": 8773 + }, + { + "epoch": 0.21, + "grad_norm": 1.6849831282619248, + "learning_rate": 1.840667996222469e-05, + "loss": 0.8074, + "step": 8774 + }, + { + "epoch": 0.21, + "grad_norm": 2.7415791491613244, + "learning_rate": 1.8406266712219225e-05, + "loss": 0.8415, + "step": 8775 + }, + { + "epoch": 0.21, + "grad_norm": 1.8721349703590444, + "learning_rate": 1.840585341326982e-05, + "loss": 0.9977, + "step": 8776 + }, + { + "epoch": 0.21, + "grad_norm": 1.6287227497489898, + "learning_rate": 1.840544006537887e-05, + "loss": 0.9203, + "step": 8777 + }, + { + "epoch": 0.21, + "grad_norm": 1.4847586445199286, + "learning_rate": 1.840502666854879e-05, + "loss": 0.9162, + "step": 8778 + }, + { + "epoch": 0.21, + "grad_norm": 1.6777760063849785, + "learning_rate": 1.840461322278198e-05, + "loss": 0.787, + "step": 8779 + }, + { + "epoch": 0.21, + "grad_norm": 1.7936305741505552, + "learning_rate": 1.8404199728080854e-05, + "loss": 1.1114, + "step": 8780 + }, + { + "epoch": 0.21, + "grad_norm": 1.5849037931333316, + "learning_rate": 1.8403786184447818e-05, + "loss": 0.9439, + "step": 8781 + }, + { + "epoch": 0.21, + "grad_norm": 0.7656869019008944, + "learning_rate": 1.8403372591885272e-05, + "loss": 0.7263, + "step": 8782 + }, + { + "epoch": 0.21, + "grad_norm": 0.7815081110765898, + "learning_rate": 1.8402958950395637e-05, + "loss": 0.7885, + "step": 8783 + }, + { + "epoch": 0.21, + "grad_norm": 1.766783734127397, + "learning_rate": 1.8402545259981312e-05, + "loss": 0.9195, + "step": 8784 + }, + { + "epoch": 0.21, + "grad_norm": 1.5675523580448794, + "learning_rate": 1.8402131520644708e-05, + "loss": 0.9571, + "step": 8785 + }, + { + "epoch": 0.21, + "grad_norm": 1.6146513046950035, + "learning_rate": 1.8401717732388234e-05, + "loss": 0.8921, + "step": 8786 + }, + { + "epoch": 0.21, + "grad_norm": 0.8646993372866402, + "learning_rate": 1.8401303895214303e-05, + "loss": 0.7727, + "step": 8787 + }, + { + "epoch": 0.21, + "grad_norm": 1.6416460625969926, + "learning_rate": 1.8400890009125314e-05, + "loss": 0.8749, + "step": 8788 + }, + { + "epoch": 0.21, + "grad_norm": 2.279070218537133, + "learning_rate": 1.8400476074123686e-05, + "loss": 0.9101, + "step": 8789 + }, + { + "epoch": 0.21, + "grad_norm": 1.3761964082392164, + "learning_rate": 1.840006209021183e-05, + "loss": 0.7733, + "step": 8790 + }, + { + "epoch": 0.21, + "grad_norm": 2.026250704281268, + "learning_rate": 1.839964805739215e-05, + "loss": 0.8493, + "step": 8791 + }, + { + "epoch": 0.21, + "grad_norm": 2.0283281311105776, + "learning_rate": 1.8399233975667062e-05, + "loss": 0.9216, + "step": 8792 + }, + { + "epoch": 0.21, + "grad_norm": 1.9421866329787993, + "learning_rate": 1.8398819845038973e-05, + "loss": 1.0096, + "step": 8793 + }, + { + "epoch": 0.21, + "grad_norm": 1.9469141472554328, + "learning_rate": 1.83984056655103e-05, + "loss": 0.9556, + "step": 8794 + }, + { + "epoch": 0.21, + "grad_norm": 2.159737728910353, + "learning_rate": 1.8397991437083445e-05, + "loss": 0.9319, + "step": 8795 + }, + { + "epoch": 0.21, + "grad_norm": 2.1225637293414095, + "learning_rate": 1.8397577159760828e-05, + "loss": 0.8804, + "step": 8796 + }, + { + "epoch": 0.21, + "grad_norm": 1.698814537950394, + "learning_rate": 1.8397162833544856e-05, + "loss": 0.7782, + "step": 8797 + }, + { + "epoch": 0.21, + "grad_norm": 1.878144075432478, + "learning_rate": 1.8396748458437945e-05, + "loss": 0.8409, + "step": 8798 + }, + { + "epoch": 0.21, + "grad_norm": 1.6692096105147662, + "learning_rate": 1.8396334034442506e-05, + "loss": 0.8485, + "step": 8799 + }, + { + "epoch": 0.21, + "grad_norm": 1.84042390651973, + "learning_rate": 1.839591956156095e-05, + "loss": 0.9444, + "step": 8800 + }, + { + "epoch": 0.21, + "grad_norm": 1.7595931573723744, + "learning_rate": 1.8395505039795696e-05, + "loss": 0.8633, + "step": 8801 + }, + { + "epoch": 0.21, + "grad_norm": 1.8586669978771517, + "learning_rate": 1.8395090469149153e-05, + "loss": 0.8659, + "step": 8802 + }, + { + "epoch": 0.21, + "grad_norm": 2.5481143066050236, + "learning_rate": 1.8394675849623733e-05, + "loss": 0.8931, + "step": 8803 + }, + { + "epoch": 0.21, + "grad_norm": 1.723834868136047, + "learning_rate": 1.8394261181221853e-05, + "loss": 0.9649, + "step": 8804 + }, + { + "epoch": 0.21, + "grad_norm": 1.5357688683281685, + "learning_rate": 1.8393846463945925e-05, + "loss": 0.9378, + "step": 8805 + }, + { + "epoch": 0.21, + "grad_norm": 1.4954801278899426, + "learning_rate": 1.839343169779837e-05, + "loss": 0.9168, + "step": 8806 + }, + { + "epoch": 0.21, + "grad_norm": 1.9379799829561506, + "learning_rate": 1.83930168827816e-05, + "loss": 0.9591, + "step": 8807 + }, + { + "epoch": 0.21, + "grad_norm": 1.6263902229279648, + "learning_rate": 1.8392602018898023e-05, + "loss": 0.9316, + "step": 8808 + }, + { + "epoch": 0.21, + "grad_norm": 2.0730679798089704, + "learning_rate": 1.8392187106150058e-05, + "loss": 0.9021, + "step": 8809 + }, + { + "epoch": 0.21, + "grad_norm": 1.6393749069681227, + "learning_rate": 1.8391772144540127e-05, + "loss": 0.7911, + "step": 8810 + }, + { + "epoch": 0.21, + "grad_norm": 1.4811631063683781, + "learning_rate": 1.8391357134070642e-05, + "loss": 0.9569, + "step": 8811 + }, + { + "epoch": 0.21, + "grad_norm": 0.8758288910078244, + "learning_rate": 1.839094207474402e-05, + "loss": 0.786, + "step": 8812 + }, + { + "epoch": 0.21, + "grad_norm": 0.7849686254471071, + "learning_rate": 1.8390526966562673e-05, + "loss": 0.7616, + "step": 8813 + }, + { + "epoch": 0.21, + "grad_norm": 1.807400598986517, + "learning_rate": 1.8390111809529024e-05, + "loss": 0.8361, + "step": 8814 + }, + { + "epoch": 0.21, + "grad_norm": 1.9636838858896635, + "learning_rate": 1.8389696603645487e-05, + "loss": 0.969, + "step": 8815 + }, + { + "epoch": 0.21, + "grad_norm": 1.5315892491065726, + "learning_rate": 1.8389281348914482e-05, + "loss": 0.9265, + "step": 8816 + }, + { + "epoch": 0.21, + "grad_norm": 1.456861662059818, + "learning_rate": 1.8388866045338424e-05, + "loss": 0.8439, + "step": 8817 + }, + { + "epoch": 0.21, + "grad_norm": 1.5786449852745588, + "learning_rate": 1.8388450692919733e-05, + "loss": 0.8905, + "step": 8818 + }, + { + "epoch": 0.21, + "grad_norm": 1.780602485479189, + "learning_rate": 1.8388035291660823e-05, + "loss": 0.8148, + "step": 8819 + }, + { + "epoch": 0.21, + "grad_norm": 1.755031457336164, + "learning_rate": 1.8387619841564118e-05, + "loss": 0.9671, + "step": 8820 + }, + { + "epoch": 0.21, + "grad_norm": 1.9715872949179645, + "learning_rate": 1.8387204342632034e-05, + "loss": 0.9798, + "step": 8821 + }, + { + "epoch": 0.21, + "grad_norm": 1.582804097282771, + "learning_rate": 1.8386788794866995e-05, + "loss": 1.0247, + "step": 8822 + }, + { + "epoch": 0.21, + "grad_norm": 1.625998197732358, + "learning_rate": 1.8386373198271412e-05, + "loss": 0.9535, + "step": 8823 + }, + { + "epoch": 0.21, + "grad_norm": 1.792569928949052, + "learning_rate": 1.8385957552847707e-05, + "loss": 0.9191, + "step": 8824 + }, + { + "epoch": 0.21, + "grad_norm": 1.7403323296839188, + "learning_rate": 1.8385541858598306e-05, + "loss": 0.8614, + "step": 8825 + }, + { + "epoch": 0.21, + "grad_norm": 1.5872414899086662, + "learning_rate": 1.8385126115525627e-05, + "loss": 0.9749, + "step": 8826 + }, + { + "epoch": 0.21, + "grad_norm": 1.594548048204447, + "learning_rate": 1.8384710323632083e-05, + "loss": 0.9164, + "step": 8827 + }, + { + "epoch": 0.21, + "grad_norm": 1.7173786109090174, + "learning_rate": 1.838429448292011e-05, + "loss": 0.7767, + "step": 8828 + }, + { + "epoch": 0.21, + "grad_norm": 1.7300650549762802, + "learning_rate": 1.838387859339211e-05, + "loss": 1.0439, + "step": 8829 + }, + { + "epoch": 0.21, + "grad_norm": 0.8053580469681445, + "learning_rate": 1.8383462655050525e-05, + "loss": 0.7066, + "step": 8830 + }, + { + "epoch": 0.21, + "grad_norm": 1.8389939774972723, + "learning_rate": 1.838304666789776e-05, + "loss": 0.8967, + "step": 8831 + }, + { + "epoch": 0.21, + "grad_norm": 1.855961246286226, + "learning_rate": 1.8382630631936243e-05, + "loss": 0.9791, + "step": 8832 + }, + { + "epoch": 0.21, + "grad_norm": 1.564767030464751, + "learning_rate": 1.8382214547168396e-05, + "loss": 0.9872, + "step": 8833 + }, + { + "epoch": 0.21, + "grad_norm": 2.301572065716818, + "learning_rate": 1.8381798413596646e-05, + "loss": 0.8754, + "step": 8834 + }, + { + "epoch": 0.21, + "grad_norm": 1.937233772224033, + "learning_rate": 1.838138223122341e-05, + "loss": 0.9087, + "step": 8835 + }, + { + "epoch": 0.21, + "grad_norm": 1.7412127944862308, + "learning_rate": 1.8380966000051113e-05, + "loss": 0.9224, + "step": 8836 + }, + { + "epoch": 0.21, + "grad_norm": 1.9703425879911085, + "learning_rate": 1.8380549720082175e-05, + "loss": 0.9696, + "step": 8837 + }, + { + "epoch": 0.21, + "grad_norm": 1.6077126801437471, + "learning_rate": 1.838013339131903e-05, + "loss": 0.8684, + "step": 8838 + }, + { + "epoch": 0.21, + "grad_norm": 2.3512465847069066, + "learning_rate": 1.837971701376409e-05, + "loss": 0.8272, + "step": 8839 + }, + { + "epoch": 0.21, + "grad_norm": 1.63268424681803, + "learning_rate": 1.837930058741979e-05, + "loss": 0.8873, + "step": 8840 + }, + { + "epoch": 0.21, + "grad_norm": 1.7407724679832732, + "learning_rate": 1.8378884112288543e-05, + "loss": 0.9423, + "step": 8841 + }, + { + "epoch": 0.21, + "grad_norm": 0.797513459022841, + "learning_rate": 1.8378467588372785e-05, + "loss": 0.7253, + "step": 8842 + }, + { + "epoch": 0.21, + "grad_norm": 1.4737446226614224, + "learning_rate": 1.8378051015674933e-05, + "loss": 0.9171, + "step": 8843 + }, + { + "epoch": 0.21, + "grad_norm": 1.828143952188794, + "learning_rate": 1.837763439419742e-05, + "loss": 0.9035, + "step": 8844 + }, + { + "epoch": 0.21, + "grad_norm": 1.656855999877573, + "learning_rate": 1.8377217723942662e-05, + "loss": 0.9068, + "step": 8845 + }, + { + "epoch": 0.21, + "grad_norm": 1.5865290407258885, + "learning_rate": 1.837680100491309e-05, + "loss": 0.9342, + "step": 8846 + }, + { + "epoch": 0.21, + "grad_norm": 2.1304786909414273, + "learning_rate": 1.8376384237111134e-05, + "loss": 0.8958, + "step": 8847 + }, + { + "epoch": 0.21, + "grad_norm": 1.5831208729029818, + "learning_rate": 1.8375967420539215e-05, + "loss": 0.8889, + "step": 8848 + }, + { + "epoch": 0.21, + "grad_norm": 1.740706093536807, + "learning_rate": 1.8375550555199764e-05, + "loss": 0.8918, + "step": 8849 + }, + { + "epoch": 0.21, + "grad_norm": 2.237425834875246, + "learning_rate": 1.8375133641095206e-05, + "loss": 0.862, + "step": 8850 + }, + { + "epoch": 0.21, + "grad_norm": 1.6031123329274117, + "learning_rate": 1.8374716678227964e-05, + "loss": 0.925, + "step": 8851 + }, + { + "epoch": 0.21, + "grad_norm": 2.2325685430286835, + "learning_rate": 1.8374299666600474e-05, + "loss": 0.8679, + "step": 8852 + }, + { + "epoch": 0.21, + "grad_norm": 5.229866980469793, + "learning_rate": 1.837388260621516e-05, + "loss": 0.8186, + "step": 8853 + }, + { + "epoch": 0.21, + "grad_norm": 1.5906974491541588, + "learning_rate": 1.8373465497074448e-05, + "loss": 0.9673, + "step": 8854 + }, + { + "epoch": 0.21, + "grad_norm": 2.250408253097248, + "learning_rate": 1.837304833918077e-05, + "loss": 0.7992, + "step": 8855 + }, + { + "epoch": 0.21, + "grad_norm": 0.7805184994701977, + "learning_rate": 1.8372631132536552e-05, + "loss": 0.736, + "step": 8856 + }, + { + "epoch": 0.21, + "grad_norm": 1.897657833713032, + "learning_rate": 1.837221387714423e-05, + "loss": 0.9558, + "step": 8857 + }, + { + "epoch": 0.21, + "grad_norm": 0.7865573917496744, + "learning_rate": 1.8371796573006223e-05, + "loss": 0.7624, + "step": 8858 + }, + { + "epoch": 0.21, + "grad_norm": 2.260689957251731, + "learning_rate": 1.8371379220124968e-05, + "loss": 0.9126, + "step": 8859 + }, + { + "epoch": 0.21, + "grad_norm": 1.840718913115611, + "learning_rate": 1.8370961818502893e-05, + "loss": 0.9743, + "step": 8860 + }, + { + "epoch": 0.21, + "grad_norm": 1.6457460063550446, + "learning_rate": 1.837054436814243e-05, + "loss": 0.8691, + "step": 8861 + }, + { + "epoch": 0.21, + "grad_norm": 1.9845826848605235, + "learning_rate": 1.8370126869046002e-05, + "loss": 0.9867, + "step": 8862 + }, + { + "epoch": 0.21, + "grad_norm": 1.4297450331621628, + "learning_rate": 1.836970932121605e-05, + "loss": 0.8722, + "step": 8863 + }, + { + "epoch": 0.21, + "grad_norm": 1.7308302893125933, + "learning_rate": 1.8369291724655e-05, + "loss": 0.9647, + "step": 8864 + }, + { + "epoch": 0.21, + "grad_norm": 1.773333532666767, + "learning_rate": 1.836887407936528e-05, + "loss": 0.9252, + "step": 8865 + }, + { + "epoch": 0.21, + "grad_norm": 1.5123979921282034, + "learning_rate": 1.8368456385349333e-05, + "loss": 0.9739, + "step": 8866 + }, + { + "epoch": 0.21, + "grad_norm": 1.5397681387150144, + "learning_rate": 1.8368038642609577e-05, + "loss": 0.8329, + "step": 8867 + }, + { + "epoch": 0.21, + "grad_norm": 2.300172924646575, + "learning_rate": 1.8367620851148455e-05, + "loss": 0.8887, + "step": 8868 + }, + { + "epoch": 0.21, + "grad_norm": 1.5133449925971572, + "learning_rate": 1.8367203010968393e-05, + "loss": 1.015, + "step": 8869 + }, + { + "epoch": 0.21, + "grad_norm": 2.239376346624852, + "learning_rate": 1.8366785122071828e-05, + "loss": 0.8051, + "step": 8870 + }, + { + "epoch": 0.21, + "grad_norm": 1.8397494248135735, + "learning_rate": 1.8366367184461188e-05, + "loss": 0.8855, + "step": 8871 + }, + { + "epoch": 0.21, + "grad_norm": 2.0323668847331904, + "learning_rate": 1.8365949198138913e-05, + "loss": 1.0577, + "step": 8872 + }, + { + "epoch": 0.21, + "grad_norm": 1.6012778960793674, + "learning_rate": 1.836553116310743e-05, + "loss": 1.0133, + "step": 8873 + }, + { + "epoch": 0.21, + "grad_norm": 1.6099220166600479, + "learning_rate": 1.8365113079369176e-05, + "loss": 0.9866, + "step": 8874 + }, + { + "epoch": 0.21, + "grad_norm": 1.575006081181709, + "learning_rate": 1.8364694946926586e-05, + "loss": 0.7987, + "step": 8875 + }, + { + "epoch": 0.21, + "grad_norm": 1.7508144930286764, + "learning_rate": 1.8364276765782095e-05, + "loss": 0.8592, + "step": 8876 + }, + { + "epoch": 0.21, + "grad_norm": 1.6283326632076025, + "learning_rate": 1.8363858535938136e-05, + "loss": 0.962, + "step": 8877 + }, + { + "epoch": 0.21, + "grad_norm": 2.473065392691009, + "learning_rate": 1.8363440257397145e-05, + "loss": 0.8619, + "step": 8878 + }, + { + "epoch": 0.21, + "grad_norm": 2.2171193201609363, + "learning_rate": 1.8363021930161555e-05, + "loss": 0.8487, + "step": 8879 + }, + { + "epoch": 0.21, + "grad_norm": 1.7293234388210361, + "learning_rate": 1.8362603554233807e-05, + "loss": 0.9648, + "step": 8880 + }, + { + "epoch": 0.21, + "grad_norm": 1.4095519819902236, + "learning_rate": 1.8362185129616333e-05, + "loss": 0.8952, + "step": 8881 + }, + { + "epoch": 0.21, + "grad_norm": 1.7982390474802907, + "learning_rate": 1.8361766656311568e-05, + "loss": 0.9902, + "step": 8882 + }, + { + "epoch": 0.21, + "grad_norm": 1.7634816912091567, + "learning_rate": 1.836134813432195e-05, + "loss": 0.9433, + "step": 8883 + }, + { + "epoch": 0.21, + "grad_norm": 1.6757467405352218, + "learning_rate": 1.8360929563649918e-05, + "loss": 1.0347, + "step": 8884 + }, + { + "epoch": 0.21, + "grad_norm": 0.8011622062988787, + "learning_rate": 1.8360510944297905e-05, + "loss": 0.7767, + "step": 8885 + }, + { + "epoch": 0.21, + "grad_norm": 1.977758092700832, + "learning_rate": 1.836009227626835e-05, + "loss": 0.9704, + "step": 8886 + }, + { + "epoch": 0.21, + "grad_norm": 1.830399874585732, + "learning_rate": 1.8359673559563696e-05, + "loss": 0.9123, + "step": 8887 + }, + { + "epoch": 0.21, + "grad_norm": 1.61733367338927, + "learning_rate": 1.8359254794186368e-05, + "loss": 0.9569, + "step": 8888 + }, + { + "epoch": 0.21, + "grad_norm": 1.675265120693435, + "learning_rate": 1.8358835980138822e-05, + "loss": 0.9027, + "step": 8889 + }, + { + "epoch": 0.21, + "grad_norm": 1.525687926910339, + "learning_rate": 1.8358417117423476e-05, + "loss": 0.8671, + "step": 8890 + }, + { + "epoch": 0.21, + "grad_norm": 1.5604477330638884, + "learning_rate": 1.8357998206042788e-05, + "loss": 1.0113, + "step": 8891 + }, + { + "epoch": 0.21, + "grad_norm": 1.7943816833059074, + "learning_rate": 1.8357579245999182e-05, + "loss": 0.9648, + "step": 8892 + }, + { + "epoch": 0.21, + "grad_norm": 1.5495431124511925, + "learning_rate": 1.8357160237295106e-05, + "loss": 0.9292, + "step": 8893 + }, + { + "epoch": 0.21, + "grad_norm": 1.7451074454988778, + "learning_rate": 1.8356741179933e-05, + "loss": 0.9321, + "step": 8894 + }, + { + "epoch": 0.21, + "grad_norm": 1.7218988869203573, + "learning_rate": 1.83563220739153e-05, + "loss": 0.9445, + "step": 8895 + }, + { + "epoch": 0.21, + "grad_norm": 1.6539529587504853, + "learning_rate": 1.835590291924444e-05, + "loss": 0.9714, + "step": 8896 + }, + { + "epoch": 0.21, + "grad_norm": 1.6351082437193776, + "learning_rate": 1.8355483715922876e-05, + "loss": 0.9717, + "step": 8897 + }, + { + "epoch": 0.21, + "grad_norm": 1.5534300918954982, + "learning_rate": 1.835506446395304e-05, + "loss": 0.8466, + "step": 8898 + }, + { + "epoch": 0.21, + "grad_norm": 1.6768200833397258, + "learning_rate": 1.835464516333737e-05, + "loss": 0.8598, + "step": 8899 + }, + { + "epoch": 0.21, + "grad_norm": 1.9793851163279959, + "learning_rate": 1.8354225814078313e-05, + "loss": 0.8416, + "step": 8900 + }, + { + "epoch": 0.21, + "grad_norm": 1.7985758683513582, + "learning_rate": 1.835380641617831e-05, + "loss": 0.9861, + "step": 8901 + }, + { + "epoch": 0.21, + "grad_norm": 1.4906406964780123, + "learning_rate": 1.83533869696398e-05, + "loss": 0.9888, + "step": 8902 + }, + { + "epoch": 0.21, + "grad_norm": 2.3624396794900617, + "learning_rate": 1.8352967474465223e-05, + "loss": 0.9442, + "step": 8903 + }, + { + "epoch": 0.21, + "grad_norm": 2.4057505449157888, + "learning_rate": 1.8352547930657027e-05, + "loss": 1.0393, + "step": 8904 + }, + { + "epoch": 0.21, + "grad_norm": 0.8275121784855645, + "learning_rate": 1.8352128338217654e-05, + "loss": 0.7029, + "step": 8905 + }, + { + "epoch": 0.21, + "grad_norm": 2.467193762895837, + "learning_rate": 1.8351708697149543e-05, + "loss": 0.8409, + "step": 8906 + }, + { + "epoch": 0.21, + "grad_norm": 2.0369193997240265, + "learning_rate": 1.8351289007455145e-05, + "loss": 0.9277, + "step": 8907 + }, + { + "epoch": 0.21, + "grad_norm": 1.8206461850936628, + "learning_rate": 1.835086926913689e-05, + "loss": 0.9483, + "step": 8908 + }, + { + "epoch": 0.21, + "grad_norm": 1.9010064770072659, + "learning_rate": 1.8350449482197236e-05, + "loss": 0.9093, + "step": 8909 + }, + { + "epoch": 0.21, + "grad_norm": 1.6080906372752561, + "learning_rate": 1.8350029646638625e-05, + "loss": 0.9048, + "step": 8910 + }, + { + "epoch": 0.21, + "grad_norm": 1.5408082912343684, + "learning_rate": 1.834960976246349e-05, + "loss": 0.8655, + "step": 8911 + }, + { + "epoch": 0.21, + "grad_norm": 1.8195502299726025, + "learning_rate": 1.8349189829674288e-05, + "loss": 0.8231, + "step": 8912 + }, + { + "epoch": 0.21, + "grad_norm": 2.158162315485008, + "learning_rate": 1.834876984827346e-05, + "loss": 0.9316, + "step": 8913 + }, + { + "epoch": 0.21, + "grad_norm": 1.5528719360705536, + "learning_rate": 1.8348349818263445e-05, + "loss": 0.8844, + "step": 8914 + }, + { + "epoch": 0.21, + "grad_norm": 1.827833730528368, + "learning_rate": 1.83479297396467e-05, + "loss": 0.8603, + "step": 8915 + }, + { + "epoch": 0.21, + "grad_norm": 1.666277517531575, + "learning_rate": 1.8347509612425666e-05, + "loss": 0.9205, + "step": 8916 + }, + { + "epoch": 0.21, + "grad_norm": 1.864920612540786, + "learning_rate": 1.8347089436602786e-05, + "loss": 0.9553, + "step": 8917 + }, + { + "epoch": 0.21, + "grad_norm": 0.7716895101215236, + "learning_rate": 1.8346669212180507e-05, + "loss": 0.7349, + "step": 8918 + }, + { + "epoch": 0.21, + "grad_norm": 1.5312044275985404, + "learning_rate": 1.834624893916128e-05, + "loss": 0.9557, + "step": 8919 + }, + { + "epoch": 0.21, + "grad_norm": 0.7833198649467467, + "learning_rate": 1.834582861754755e-05, + "loss": 0.7508, + "step": 8920 + }, + { + "epoch": 0.21, + "grad_norm": 1.7225755210169438, + "learning_rate": 1.834540824734176e-05, + "loss": 0.9904, + "step": 8921 + }, + { + "epoch": 0.21, + "grad_norm": 1.6506899059738378, + "learning_rate": 1.8344987828546364e-05, + "loss": 0.9492, + "step": 8922 + }, + { + "epoch": 0.21, + "grad_norm": 2.17056358881768, + "learning_rate": 1.8344567361163804e-05, + "loss": 0.9055, + "step": 8923 + }, + { + "epoch": 0.21, + "grad_norm": 1.7434209059044294, + "learning_rate": 1.8344146845196534e-05, + "loss": 0.9496, + "step": 8924 + }, + { + "epoch": 0.21, + "grad_norm": 1.6463463313076732, + "learning_rate": 1.8343726280646996e-05, + "loss": 1.0063, + "step": 8925 + }, + { + "epoch": 0.21, + "grad_norm": 2.2842308624197463, + "learning_rate": 1.8343305667517644e-05, + "loss": 0.8342, + "step": 8926 + }, + { + "epoch": 0.21, + "grad_norm": 0.8513435391531792, + "learning_rate": 1.8342885005810926e-05, + "loss": 0.6808, + "step": 8927 + }, + { + "epoch": 0.21, + "grad_norm": 1.5271451707335568, + "learning_rate": 1.834246429552929e-05, + "loss": 0.8469, + "step": 8928 + }, + { + "epoch": 0.21, + "grad_norm": 1.7092036339740484, + "learning_rate": 1.8342043536675185e-05, + "loss": 0.9204, + "step": 8929 + }, + { + "epoch": 0.21, + "grad_norm": 1.6438842679987091, + "learning_rate": 1.8341622729251062e-05, + "loss": 0.9322, + "step": 8930 + }, + { + "epoch": 0.21, + "grad_norm": 1.6893970760484256, + "learning_rate": 1.834120187325937e-05, + "loss": 0.9812, + "step": 8931 + }, + { + "epoch": 0.21, + "grad_norm": 1.65087068704696, + "learning_rate": 1.834078096870256e-05, + "loss": 0.8295, + "step": 8932 + }, + { + "epoch": 0.21, + "grad_norm": 0.7343530078553646, + "learning_rate": 1.834036001558308e-05, + "loss": 0.7656, + "step": 8933 + }, + { + "epoch": 0.21, + "grad_norm": 1.5662074325556556, + "learning_rate": 1.833993901390339e-05, + "loss": 0.85, + "step": 8934 + }, + { + "epoch": 0.21, + "grad_norm": 1.7623008643325215, + "learning_rate": 1.8339517963665928e-05, + "loss": 0.8489, + "step": 8935 + }, + { + "epoch": 0.21, + "grad_norm": 1.7418346175608102, + "learning_rate": 1.8339096864873153e-05, + "loss": 0.9051, + "step": 8936 + }, + { + "epoch": 0.21, + "grad_norm": 1.7864495706506958, + "learning_rate": 1.833867571752752e-05, + "loss": 0.8989, + "step": 8937 + }, + { + "epoch": 0.21, + "grad_norm": 1.7048166728209442, + "learning_rate": 1.8338254521631476e-05, + "loss": 0.7768, + "step": 8938 + }, + { + "epoch": 0.21, + "grad_norm": 0.8077678594826286, + "learning_rate": 1.8337833277187472e-05, + "loss": 0.7493, + "step": 8939 + }, + { + "epoch": 0.21, + "grad_norm": 0.8043901225073179, + "learning_rate": 1.8337411984197965e-05, + "loss": 0.7527, + "step": 8940 + }, + { + "epoch": 0.21, + "grad_norm": 1.7997870059038739, + "learning_rate": 1.8336990642665405e-05, + "loss": 1.031, + "step": 8941 + }, + { + "epoch": 0.21, + "grad_norm": 1.5958194953055354, + "learning_rate": 1.8336569252592243e-05, + "loss": 0.9106, + "step": 8942 + }, + { + "epoch": 0.21, + "grad_norm": 1.6380795737867595, + "learning_rate": 1.8336147813980936e-05, + "loss": 1.012, + "step": 8943 + }, + { + "epoch": 0.21, + "grad_norm": 2.188547631599865, + "learning_rate": 1.8335726326833943e-05, + "loss": 0.682, + "step": 8944 + }, + { + "epoch": 0.21, + "grad_norm": 3.237214919646581, + "learning_rate": 1.8335304791153707e-05, + "loss": 0.9435, + "step": 8945 + }, + { + "epoch": 0.21, + "grad_norm": 1.5846014980323997, + "learning_rate": 1.833488320694269e-05, + "loss": 1.0795, + "step": 8946 + }, + { + "epoch": 0.21, + "grad_norm": 1.4964565796840752, + "learning_rate": 1.8334461574203346e-05, + "loss": 0.9606, + "step": 8947 + }, + { + "epoch": 0.21, + "grad_norm": 1.5451020309319128, + "learning_rate": 1.8334039892938126e-05, + "loss": 0.8975, + "step": 8948 + }, + { + "epoch": 0.21, + "grad_norm": 1.6905257090607522, + "learning_rate": 1.8333618163149485e-05, + "loss": 0.8967, + "step": 8949 + }, + { + "epoch": 0.21, + "grad_norm": 2.330254369444004, + "learning_rate": 1.8333196384839884e-05, + "loss": 0.8832, + "step": 8950 + }, + { + "epoch": 0.21, + "grad_norm": 1.5075192223197547, + "learning_rate": 1.833277455801177e-05, + "loss": 0.9934, + "step": 8951 + }, + { + "epoch": 0.21, + "grad_norm": 1.5845716736820115, + "learning_rate": 1.8332352682667613e-05, + "loss": 0.9785, + "step": 8952 + }, + { + "epoch": 0.21, + "grad_norm": 1.4778519357556354, + "learning_rate": 1.8331930758809856e-05, + "loss": 0.8536, + "step": 8953 + }, + { + "epoch": 0.21, + "grad_norm": 1.7815960888185314, + "learning_rate": 1.833150878644096e-05, + "loss": 0.9813, + "step": 8954 + }, + { + "epoch": 0.21, + "grad_norm": 1.7675346528550704, + "learning_rate": 1.8331086765563384e-05, + "loss": 0.8342, + "step": 8955 + }, + { + "epoch": 0.21, + "grad_norm": 1.6407028971994386, + "learning_rate": 1.833066469617958e-05, + "loss": 0.8806, + "step": 8956 + }, + { + "epoch": 0.21, + "grad_norm": 2.022226069215082, + "learning_rate": 1.8330242578292013e-05, + "loss": 0.7012, + "step": 8957 + }, + { + "epoch": 0.21, + "grad_norm": 1.6388944722711203, + "learning_rate": 1.832982041190313e-05, + "loss": 0.9152, + "step": 8958 + }, + { + "epoch": 0.21, + "grad_norm": 2.6083407705849186, + "learning_rate": 1.83293981970154e-05, + "loss": 0.8508, + "step": 8959 + }, + { + "epoch": 0.21, + "grad_norm": 1.5615750583508783, + "learning_rate": 1.8328975933631277e-05, + "loss": 0.9592, + "step": 8960 + }, + { + "epoch": 0.21, + "grad_norm": 1.769917497094597, + "learning_rate": 1.832855362175322e-05, + "loss": 0.9181, + "step": 8961 + }, + { + "epoch": 0.21, + "grad_norm": 2.263513615870314, + "learning_rate": 1.832813126138368e-05, + "loss": 0.8931, + "step": 8962 + }, + { + "epoch": 0.21, + "grad_norm": 2.27424789348539, + "learning_rate": 1.8327708852525132e-05, + "loss": 0.8506, + "step": 8963 + }, + { + "epoch": 0.21, + "grad_norm": 1.6311002389096683, + "learning_rate": 1.832728639518002e-05, + "loss": 0.7731, + "step": 8964 + }, + { + "epoch": 0.21, + "grad_norm": 1.4812937231388004, + "learning_rate": 1.8326863889350816e-05, + "loss": 0.9036, + "step": 8965 + }, + { + "epoch": 0.21, + "grad_norm": 1.558341868502518, + "learning_rate": 1.832644133503997e-05, + "loss": 0.9265, + "step": 8966 + }, + { + "epoch": 0.21, + "grad_norm": 1.4880241488533046, + "learning_rate": 1.832601873224995e-05, + "loss": 0.8969, + "step": 8967 + }, + { + "epoch": 0.21, + "grad_norm": 1.8476095666712633, + "learning_rate": 1.832559608098321e-05, + "loss": 0.9006, + "step": 8968 + }, + { + "epoch": 0.21, + "grad_norm": 1.5451959385244571, + "learning_rate": 1.8325173381242213e-05, + "loss": 0.8692, + "step": 8969 + }, + { + "epoch": 0.21, + "grad_norm": 1.7908373307517451, + "learning_rate": 1.8324750633029424e-05, + "loss": 0.9296, + "step": 8970 + }, + { + "epoch": 0.21, + "grad_norm": 2.3079809354879024, + "learning_rate": 1.83243278363473e-05, + "loss": 0.9676, + "step": 8971 + }, + { + "epoch": 0.21, + "grad_norm": 1.745036281441738, + "learning_rate": 1.8323904991198304e-05, + "loss": 0.9519, + "step": 8972 + }, + { + "epoch": 0.21, + "grad_norm": 1.8780092403637403, + "learning_rate": 1.8323482097584896e-05, + "loss": 1.0161, + "step": 8973 + }, + { + "epoch": 0.21, + "grad_norm": 1.7664669226843162, + "learning_rate": 1.8323059155509542e-05, + "loss": 0.961, + "step": 8974 + }, + { + "epoch": 0.21, + "grad_norm": 1.8412415108591045, + "learning_rate": 1.8322636164974705e-05, + "loss": 0.7747, + "step": 8975 + }, + { + "epoch": 0.21, + "grad_norm": 1.7245252063781271, + "learning_rate": 1.832221312598284e-05, + "loss": 0.9096, + "step": 8976 + }, + { + "epoch": 0.21, + "grad_norm": 1.5239436476423138, + "learning_rate": 1.8321790038536415e-05, + "loss": 1.0164, + "step": 8977 + }, + { + "epoch": 0.21, + "grad_norm": 1.821311669362772, + "learning_rate": 1.83213669026379e-05, + "loss": 0.9683, + "step": 8978 + }, + { + "epoch": 0.21, + "grad_norm": 2.24838433757825, + "learning_rate": 1.8320943718289747e-05, + "loss": 0.9203, + "step": 8979 + }, + { + "epoch": 0.21, + "grad_norm": 2.4260838442685073, + "learning_rate": 1.832052048549443e-05, + "loss": 0.9097, + "step": 8980 + }, + { + "epoch": 0.21, + "grad_norm": 1.9679313645398018, + "learning_rate": 1.8320097204254402e-05, + "loss": 0.9299, + "step": 8981 + }, + { + "epoch": 0.21, + "grad_norm": 1.90571321079457, + "learning_rate": 1.831967387457214e-05, + "loss": 0.9866, + "step": 8982 + }, + { + "epoch": 0.21, + "grad_norm": 1.4430997902862244, + "learning_rate": 1.83192504964501e-05, + "loss": 0.8904, + "step": 8983 + }, + { + "epoch": 0.21, + "grad_norm": 0.7634784878442462, + "learning_rate": 1.831882706989075e-05, + "loss": 0.7119, + "step": 8984 + }, + { + "epoch": 0.21, + "grad_norm": 1.922928172618884, + "learning_rate": 1.8318403594896557e-05, + "loss": 0.9006, + "step": 8985 + }, + { + "epoch": 0.21, + "grad_norm": 1.753718135203128, + "learning_rate": 1.8317980071469982e-05, + "loss": 0.8999, + "step": 8986 + }, + { + "epoch": 0.21, + "grad_norm": 1.4339179531280613, + "learning_rate": 1.8317556499613492e-05, + "loss": 0.9951, + "step": 8987 + }, + { + "epoch": 0.21, + "grad_norm": 1.9523169235104056, + "learning_rate": 1.831713287932956e-05, + "loss": 0.956, + "step": 8988 + }, + { + "epoch": 0.21, + "grad_norm": 1.962143557489, + "learning_rate": 1.8316709210620646e-05, + "loss": 0.9194, + "step": 8989 + }, + { + "epoch": 0.21, + "grad_norm": 2.005005508869834, + "learning_rate": 1.8316285493489213e-05, + "loss": 0.9752, + "step": 8990 + }, + { + "epoch": 0.21, + "grad_norm": 1.501150913992381, + "learning_rate": 1.831586172793774e-05, + "loss": 0.912, + "step": 8991 + }, + { + "epoch": 0.21, + "grad_norm": 2.1474741515976694, + "learning_rate": 1.831543791396868e-05, + "loss": 0.8393, + "step": 8992 + }, + { + "epoch": 0.21, + "grad_norm": 0.7982405179870296, + "learning_rate": 1.831501405158451e-05, + "loss": 0.7428, + "step": 8993 + }, + { + "epoch": 0.21, + "grad_norm": 1.8324523358263245, + "learning_rate": 1.83145901407877e-05, + "loss": 0.9329, + "step": 8994 + }, + { + "epoch": 0.21, + "grad_norm": 1.692143493231175, + "learning_rate": 1.831416618158071e-05, + "loss": 0.9432, + "step": 8995 + }, + { + "epoch": 0.21, + "grad_norm": 1.680251325693409, + "learning_rate": 1.8313742173966017e-05, + "loss": 0.8342, + "step": 8996 + }, + { + "epoch": 0.21, + "grad_norm": 1.4828996981984308, + "learning_rate": 1.831331811794608e-05, + "loss": 0.8883, + "step": 8997 + }, + { + "epoch": 0.21, + "grad_norm": 1.68321555747044, + "learning_rate": 1.831289401352337e-05, + "loss": 0.8591, + "step": 8998 + }, + { + "epoch": 0.21, + "grad_norm": 1.4819166628508296, + "learning_rate": 1.8312469860700366e-05, + "loss": 1.0183, + "step": 8999 + }, + { + "epoch": 0.21, + "grad_norm": 2.152141828225651, + "learning_rate": 1.831204565947953e-05, + "loss": 0.8313, + "step": 9000 + }, + { + "epoch": 0.21, + "grad_norm": 1.8261591253944796, + "learning_rate": 1.831162140986333e-05, + "loss": 0.8851, + "step": 9001 + }, + { + "epoch": 0.21, + "grad_norm": 1.649252746833095, + "learning_rate": 1.831119711185424e-05, + "loss": 0.8392, + "step": 9002 + }, + { + "epoch": 0.21, + "grad_norm": 1.8879228029376467, + "learning_rate": 1.831077276545473e-05, + "loss": 0.8987, + "step": 9003 + }, + { + "epoch": 0.21, + "grad_norm": 1.7536004764751971, + "learning_rate": 1.831034837066727e-05, + "loss": 0.8684, + "step": 9004 + }, + { + "epoch": 0.21, + "grad_norm": 1.6036128290618994, + "learning_rate": 1.830992392749433e-05, + "loss": 0.9612, + "step": 9005 + }, + { + "epoch": 0.21, + "grad_norm": 0.8447641265446815, + "learning_rate": 1.8309499435938377e-05, + "loss": 0.7956, + "step": 9006 + }, + { + "epoch": 0.21, + "grad_norm": 1.5293482517422032, + "learning_rate": 1.8309074896001893e-05, + "loss": 0.8661, + "step": 9007 + }, + { + "epoch": 0.21, + "grad_norm": 1.6363319822006919, + "learning_rate": 1.8308650307687347e-05, + "loss": 0.7568, + "step": 9008 + }, + { + "epoch": 0.21, + "grad_norm": 2.523201095947987, + "learning_rate": 1.83082256709972e-05, + "loss": 0.7766, + "step": 9009 + }, + { + "epoch": 0.21, + "grad_norm": 1.4400648571139394, + "learning_rate": 1.8307800985933938e-05, + "loss": 0.9742, + "step": 9010 + }, + { + "epoch": 0.21, + "grad_norm": 0.821259519061108, + "learning_rate": 1.830737625250003e-05, + "loss": 0.7601, + "step": 9011 + }, + { + "epoch": 0.21, + "grad_norm": 2.096711030133602, + "learning_rate": 1.8306951470697946e-05, + "loss": 0.9376, + "step": 9012 + }, + { + "epoch": 0.21, + "grad_norm": 1.5621815426964805, + "learning_rate": 1.830652664053016e-05, + "loss": 0.8769, + "step": 9013 + }, + { + "epoch": 0.21, + "grad_norm": 1.677237415915949, + "learning_rate": 1.8306101761999147e-05, + "loss": 0.9689, + "step": 9014 + }, + { + "epoch": 0.21, + "grad_norm": 1.7707331202581227, + "learning_rate": 1.8305676835107378e-05, + "loss": 0.879, + "step": 9015 + }, + { + "epoch": 0.21, + "grad_norm": 1.6734724163949106, + "learning_rate": 1.830525185985733e-05, + "loss": 0.8458, + "step": 9016 + }, + { + "epoch": 0.21, + "grad_norm": 1.98047691664244, + "learning_rate": 1.8304826836251477e-05, + "loss": 0.8394, + "step": 9017 + }, + { + "epoch": 0.21, + "grad_norm": 1.964158284569616, + "learning_rate": 1.8304401764292292e-05, + "loss": 0.9773, + "step": 9018 + }, + { + "epoch": 0.21, + "grad_norm": 2.191981973542911, + "learning_rate": 1.830397664398225e-05, + "loss": 0.8364, + "step": 9019 + }, + { + "epoch": 0.21, + "grad_norm": 1.8100088297959782, + "learning_rate": 1.830355147532383e-05, + "loss": 0.9644, + "step": 9020 + }, + { + "epoch": 0.21, + "grad_norm": 1.515376634036461, + "learning_rate": 1.83031262583195e-05, + "loss": 0.8184, + "step": 9021 + }, + { + "epoch": 0.21, + "grad_norm": 2.429895466235139, + "learning_rate": 1.8302700992971744e-05, + "loss": 0.9022, + "step": 9022 + }, + { + "epoch": 0.21, + "grad_norm": 1.8614008309424699, + "learning_rate": 1.8302275679283033e-05, + "loss": 0.8693, + "step": 9023 + }, + { + "epoch": 0.21, + "grad_norm": 1.7062424101210136, + "learning_rate": 1.8301850317255843e-05, + "loss": 0.9009, + "step": 9024 + }, + { + "epoch": 0.21, + "grad_norm": 2.042307380556395, + "learning_rate": 1.8301424906892653e-05, + "loss": 0.911, + "step": 9025 + }, + { + "epoch": 0.21, + "grad_norm": 1.4811534196993155, + "learning_rate": 1.830099944819594e-05, + "loss": 0.8415, + "step": 9026 + }, + { + "epoch": 0.21, + "grad_norm": 2.1910625439791476, + "learning_rate": 1.830057394116818e-05, + "loss": 0.9189, + "step": 9027 + }, + { + "epoch": 0.21, + "grad_norm": 0.7707347743160793, + "learning_rate": 1.8300148385811848e-05, + "loss": 0.7167, + "step": 9028 + }, + { + "epoch": 0.21, + "grad_norm": 1.7812329680383783, + "learning_rate": 1.8299722782129428e-05, + "loss": 1.0398, + "step": 9029 + }, + { + "epoch": 0.21, + "grad_norm": 1.6572999737057281, + "learning_rate": 1.8299297130123395e-05, + "loss": 0.9901, + "step": 9030 + }, + { + "epoch": 0.21, + "grad_norm": 1.6210784400438172, + "learning_rate": 1.8298871429796223e-05, + "loss": 0.9494, + "step": 9031 + }, + { + "epoch": 0.21, + "grad_norm": 1.4540392749926538, + "learning_rate": 1.8298445681150395e-05, + "loss": 0.9251, + "step": 9032 + }, + { + "epoch": 0.21, + "grad_norm": 1.9522891426109412, + "learning_rate": 1.829801988418839e-05, + "loss": 0.8748, + "step": 9033 + }, + { + "epoch": 0.21, + "grad_norm": 1.5664830104663579, + "learning_rate": 1.8297594038912686e-05, + "loss": 0.9636, + "step": 9034 + }, + { + "epoch": 0.21, + "grad_norm": 1.6806623703298633, + "learning_rate": 1.8297168145325762e-05, + "loss": 0.9353, + "step": 9035 + }, + { + "epoch": 0.21, + "grad_norm": 1.613379221402358, + "learning_rate": 1.82967422034301e-05, + "loss": 0.9349, + "step": 9036 + }, + { + "epoch": 0.21, + "grad_norm": 1.457466789630013, + "learning_rate": 1.8296316213228174e-05, + "loss": 0.8667, + "step": 9037 + }, + { + "epoch": 0.21, + "grad_norm": 1.5769103326296605, + "learning_rate": 1.829589017472247e-05, + "loss": 0.867, + "step": 9038 + }, + { + "epoch": 0.21, + "grad_norm": 1.8851376656587453, + "learning_rate": 1.829546408791547e-05, + "loss": 0.9476, + "step": 9039 + }, + { + "epoch": 0.21, + "grad_norm": 1.9752599391058392, + "learning_rate": 1.829503795280965e-05, + "loss": 1.0088, + "step": 9040 + }, + { + "epoch": 0.21, + "grad_norm": 1.7907339312998125, + "learning_rate": 1.8294611769407493e-05, + "loss": 0.8904, + "step": 9041 + }, + { + "epoch": 0.21, + "grad_norm": 1.870493714482072, + "learning_rate": 1.829418553771148e-05, + "loss": 0.8213, + "step": 9042 + }, + { + "epoch": 0.21, + "grad_norm": 1.5598337170518453, + "learning_rate": 1.8293759257724095e-05, + "loss": 1.0146, + "step": 9043 + }, + { + "epoch": 0.21, + "grad_norm": 1.619380114802591, + "learning_rate": 1.8293332929447817e-05, + "loss": 0.9519, + "step": 9044 + }, + { + "epoch": 0.21, + "grad_norm": 2.06661167191593, + "learning_rate": 1.8292906552885122e-05, + "loss": 0.9557, + "step": 9045 + }, + { + "epoch": 0.21, + "grad_norm": 2.1481477388407955, + "learning_rate": 1.8292480128038507e-05, + "loss": 0.958, + "step": 9046 + }, + { + "epoch": 0.21, + "grad_norm": 1.6681281100619456, + "learning_rate": 1.8292053654910447e-05, + "loss": 0.9064, + "step": 9047 + }, + { + "epoch": 0.21, + "grad_norm": 1.6882795418654442, + "learning_rate": 1.8291627133503424e-05, + "loss": 0.8571, + "step": 9048 + }, + { + "epoch": 0.21, + "grad_norm": 0.786131461176392, + "learning_rate": 1.829120056381992e-05, + "loss": 0.758, + "step": 9049 + }, + { + "epoch": 0.21, + "grad_norm": 1.6019631653128117, + "learning_rate": 1.8290773945862428e-05, + "loss": 1.0086, + "step": 9050 + }, + { + "epoch": 0.21, + "grad_norm": 1.5902553137381341, + "learning_rate": 1.829034727963342e-05, + "loss": 0.9241, + "step": 9051 + }, + { + "epoch": 0.21, + "grad_norm": 0.8223078631678711, + "learning_rate": 1.828992056513539e-05, + "loss": 0.7529, + "step": 9052 + }, + { + "epoch": 0.21, + "grad_norm": 2.2954413293436176, + "learning_rate": 1.8289493802370813e-05, + "loss": 0.8657, + "step": 9053 + }, + { + "epoch": 0.21, + "grad_norm": 1.7342902472057518, + "learning_rate": 1.8289066991342182e-05, + "loss": 0.909, + "step": 9054 + }, + { + "epoch": 0.21, + "grad_norm": 1.4828485172111125, + "learning_rate": 1.8288640132051975e-05, + "loss": 0.9296, + "step": 9055 + }, + { + "epoch": 0.21, + "grad_norm": 2.097958833465737, + "learning_rate": 1.8288213224502685e-05, + "loss": 0.956, + "step": 9056 + }, + { + "epoch": 0.21, + "grad_norm": 2.181934184005303, + "learning_rate": 1.828778626869679e-05, + "loss": 0.8618, + "step": 9057 + }, + { + "epoch": 0.21, + "grad_norm": 3.374058716330083, + "learning_rate": 1.828735926463678e-05, + "loss": 0.9055, + "step": 9058 + }, + { + "epoch": 0.21, + "grad_norm": 1.4930414856234686, + "learning_rate": 1.8286932212325143e-05, + "loss": 0.8908, + "step": 9059 + }, + { + "epoch": 0.21, + "grad_norm": 1.6466246375446933, + "learning_rate": 1.828650511176436e-05, + "loss": 0.9673, + "step": 9060 + }, + { + "epoch": 0.21, + "grad_norm": 2.4257906838084264, + "learning_rate": 1.8286077962956926e-05, + "loss": 0.8627, + "step": 9061 + }, + { + "epoch": 0.21, + "grad_norm": 1.5516482752713296, + "learning_rate": 1.828565076590532e-05, + "loss": 0.8354, + "step": 9062 + }, + { + "epoch": 0.21, + "grad_norm": 1.778987035739668, + "learning_rate": 1.828522352061203e-05, + "loss": 0.9398, + "step": 9063 + }, + { + "epoch": 0.21, + "grad_norm": 1.9332208591907494, + "learning_rate": 1.828479622707955e-05, + "loss": 0.9705, + "step": 9064 + }, + { + "epoch": 0.21, + "grad_norm": 2.153449097418492, + "learning_rate": 1.828436888531036e-05, + "loss": 0.8209, + "step": 9065 + }, + { + "epoch": 0.21, + "grad_norm": 1.712594532875397, + "learning_rate": 1.828394149530695e-05, + "loss": 0.8778, + "step": 9066 + }, + { + "epoch": 0.21, + "grad_norm": 1.6817105590393253, + "learning_rate": 1.8283514057071813e-05, + "loss": 0.8944, + "step": 9067 + }, + { + "epoch": 0.21, + "grad_norm": 1.632697745369181, + "learning_rate": 1.8283086570607434e-05, + "loss": 0.9386, + "step": 9068 + }, + { + "epoch": 0.21, + "grad_norm": 1.7146857136291813, + "learning_rate": 1.8282659035916302e-05, + "loss": 0.8624, + "step": 9069 + }, + { + "epoch": 0.21, + "grad_norm": 2.259233719865446, + "learning_rate": 1.828223145300091e-05, + "loss": 0.8977, + "step": 9070 + }, + { + "epoch": 0.21, + "grad_norm": 2.3246633660120257, + "learning_rate": 1.828180382186374e-05, + "loss": 1.0287, + "step": 9071 + }, + { + "epoch": 0.21, + "grad_norm": 1.6950605075630427, + "learning_rate": 1.8281376142507288e-05, + "loss": 0.9324, + "step": 9072 + }, + { + "epoch": 0.21, + "grad_norm": 1.6133446468992187, + "learning_rate": 1.8280948414934042e-05, + "loss": 0.8386, + "step": 9073 + }, + { + "epoch": 0.21, + "grad_norm": 2.23385592475887, + "learning_rate": 1.828052063914649e-05, + "loss": 0.8465, + "step": 9074 + }, + { + "epoch": 0.21, + "grad_norm": 1.6745120131483233, + "learning_rate": 1.828009281514713e-05, + "loss": 0.7907, + "step": 9075 + }, + { + "epoch": 0.21, + "grad_norm": 1.5878002542355212, + "learning_rate": 1.8279664942938448e-05, + "loss": 0.9039, + "step": 9076 + }, + { + "epoch": 0.21, + "grad_norm": 1.5201994997982258, + "learning_rate": 1.8279237022522932e-05, + "loss": 0.8548, + "step": 9077 + }, + { + "epoch": 0.21, + "grad_norm": 1.7802892953382987, + "learning_rate": 1.8278809053903076e-05, + "loss": 0.933, + "step": 9078 + }, + { + "epoch": 0.21, + "grad_norm": 1.6186116367719106, + "learning_rate": 1.8278381037081377e-05, + "loss": 0.8941, + "step": 9079 + }, + { + "epoch": 0.21, + "grad_norm": 1.7421252160087395, + "learning_rate": 1.827795297206032e-05, + "loss": 0.831, + "step": 9080 + }, + { + "epoch": 0.21, + "grad_norm": 1.4618775620829922, + "learning_rate": 1.8277524858842404e-05, + "loss": 0.9342, + "step": 9081 + }, + { + "epoch": 0.21, + "grad_norm": 1.4576000550205463, + "learning_rate": 1.827709669743011e-05, + "loss": 0.9572, + "step": 9082 + }, + { + "epoch": 0.21, + "grad_norm": 1.4492054592078036, + "learning_rate": 1.8276668487825946e-05, + "loss": 0.9113, + "step": 9083 + }, + { + "epoch": 0.21, + "grad_norm": 1.666699119954434, + "learning_rate": 1.8276240230032396e-05, + "loss": 0.8304, + "step": 9084 + }, + { + "epoch": 0.21, + "grad_norm": 1.6461343853744956, + "learning_rate": 1.8275811924051955e-05, + "loss": 0.8137, + "step": 9085 + }, + { + "epoch": 0.21, + "grad_norm": 1.6927443929149366, + "learning_rate": 1.8275383569887112e-05, + "loss": 0.8917, + "step": 9086 + }, + { + "epoch": 0.21, + "grad_norm": 0.8340391054134985, + "learning_rate": 1.827495516754037e-05, + "loss": 0.7711, + "step": 9087 + }, + { + "epoch": 0.21, + "grad_norm": 0.8235002388621786, + "learning_rate": 1.827452671701422e-05, + "loss": 0.7412, + "step": 9088 + }, + { + "epoch": 0.21, + "grad_norm": 2.119056785013822, + "learning_rate": 1.8274098218311154e-05, + "loss": 1.06, + "step": 9089 + }, + { + "epoch": 0.21, + "grad_norm": 1.8920486129759915, + "learning_rate": 1.827366967143367e-05, + "loss": 0.8813, + "step": 9090 + }, + { + "epoch": 0.21, + "grad_norm": 4.317944721419519, + "learning_rate": 1.8273241076384264e-05, + "loss": 0.8652, + "step": 9091 + }, + { + "epoch": 0.21, + "grad_norm": 1.7480477246323711, + "learning_rate": 1.8272812433165424e-05, + "loss": 0.8346, + "step": 9092 + }, + { + "epoch": 0.21, + "grad_norm": 1.7395937262301853, + "learning_rate": 1.8272383741779652e-05, + "loss": 0.9094, + "step": 9093 + }, + { + "epoch": 0.21, + "grad_norm": 1.9691394585553197, + "learning_rate": 1.8271955002229446e-05, + "loss": 0.8204, + "step": 9094 + }, + { + "epoch": 0.21, + "grad_norm": 1.6480385400795734, + "learning_rate": 1.8271526214517298e-05, + "loss": 0.9692, + "step": 9095 + }, + { + "epoch": 0.21, + "grad_norm": 1.751349768425558, + "learning_rate": 1.8271097378645703e-05, + "loss": 0.9584, + "step": 9096 + }, + { + "epoch": 0.21, + "grad_norm": 1.864268128571111, + "learning_rate": 1.827066849461716e-05, + "loss": 0.7704, + "step": 9097 + }, + { + "epoch": 0.21, + "grad_norm": 1.999256490698664, + "learning_rate": 1.827023956243417e-05, + "loss": 0.8561, + "step": 9098 + }, + { + "epoch": 0.21, + "grad_norm": 1.5050186925782483, + "learning_rate": 1.826981058209923e-05, + "loss": 0.903, + "step": 9099 + }, + { + "epoch": 0.21, + "grad_norm": 1.7955503787656457, + "learning_rate": 1.826938155361483e-05, + "loss": 0.8863, + "step": 9100 + }, + { + "epoch": 0.21, + "grad_norm": 1.5873862211525733, + "learning_rate": 1.8268952476983473e-05, + "loss": 0.8417, + "step": 9101 + }, + { + "epoch": 0.21, + "grad_norm": 1.830789419573194, + "learning_rate": 1.8268523352207656e-05, + "loss": 0.9236, + "step": 9102 + }, + { + "epoch": 0.21, + "grad_norm": 1.7032050076500915, + "learning_rate": 1.826809417928988e-05, + "loss": 0.851, + "step": 9103 + }, + { + "epoch": 0.21, + "grad_norm": 1.7593566136932963, + "learning_rate": 1.826766495823264e-05, + "loss": 0.9507, + "step": 9104 + }, + { + "epoch": 0.21, + "grad_norm": 1.9728599853872095, + "learning_rate": 1.826723568903844e-05, + "loss": 0.8708, + "step": 9105 + }, + { + "epoch": 0.21, + "grad_norm": 1.7373380618437189, + "learning_rate": 1.8266806371709773e-05, + "loss": 1.056, + "step": 9106 + }, + { + "epoch": 0.21, + "grad_norm": 1.7085943835472452, + "learning_rate": 1.8266377006249144e-05, + "loss": 0.9269, + "step": 9107 + }, + { + "epoch": 0.21, + "grad_norm": 1.6349969107652411, + "learning_rate": 1.826594759265905e-05, + "loss": 1.006, + "step": 9108 + }, + { + "epoch": 0.21, + "grad_norm": 1.7287646725087589, + "learning_rate": 1.8265518130941992e-05, + "loss": 0.9554, + "step": 9109 + }, + { + "epoch": 0.21, + "grad_norm": 1.9394674169616704, + "learning_rate": 1.8265088621100474e-05, + "loss": 0.9044, + "step": 9110 + }, + { + "epoch": 0.21, + "grad_norm": 1.7001207747956326, + "learning_rate": 1.8264659063136988e-05, + "loss": 0.9728, + "step": 9111 + }, + { + "epoch": 0.21, + "grad_norm": 0.787353780861004, + "learning_rate": 1.8264229457054045e-05, + "loss": 0.7327, + "step": 9112 + }, + { + "epoch": 0.21, + "grad_norm": 1.5617765223554252, + "learning_rate": 1.826379980285414e-05, + "loss": 0.953, + "step": 9113 + }, + { + "epoch": 0.21, + "grad_norm": 1.8608666852280416, + "learning_rate": 1.826337010053978e-05, + "loss": 0.9191, + "step": 9114 + }, + { + "epoch": 0.21, + "grad_norm": 1.9329238033382665, + "learning_rate": 1.8262940350113456e-05, + "loss": 0.9116, + "step": 9115 + }, + { + "epoch": 0.21, + "grad_norm": 1.5574961144379629, + "learning_rate": 1.8262510551577678e-05, + "loss": 0.8027, + "step": 9116 + }, + { + "epoch": 0.21, + "grad_norm": 1.5813421140139428, + "learning_rate": 1.8262080704934955e-05, + "loss": 0.878, + "step": 9117 + }, + { + "epoch": 0.21, + "grad_norm": 0.7959419815608149, + "learning_rate": 1.8261650810187778e-05, + "loss": 0.749, + "step": 9118 + }, + { + "epoch": 0.21, + "grad_norm": 1.7678754374531538, + "learning_rate": 1.8261220867338653e-05, + "loss": 0.7987, + "step": 9119 + }, + { + "epoch": 0.21, + "grad_norm": 1.6392124180016219, + "learning_rate": 1.8260790876390085e-05, + "loss": 0.9597, + "step": 9120 + }, + { + "epoch": 0.21, + "grad_norm": 1.8640852889422017, + "learning_rate": 1.826036083734458e-05, + "loss": 0.8813, + "step": 9121 + }, + { + "epoch": 0.21, + "grad_norm": 1.5867602819978797, + "learning_rate": 1.8259930750204637e-05, + "loss": 0.993, + "step": 9122 + }, + { + "epoch": 0.21, + "grad_norm": 1.5203566747510822, + "learning_rate": 1.825950061497276e-05, + "loss": 0.8673, + "step": 9123 + }, + { + "epoch": 0.21, + "grad_norm": 1.4979850516429694, + "learning_rate": 1.8259070431651457e-05, + "loss": 1.0712, + "step": 9124 + }, + { + "epoch": 0.21, + "grad_norm": 1.4773313306541955, + "learning_rate": 1.8258640200243235e-05, + "loss": 0.7496, + "step": 9125 + }, + { + "epoch": 0.22, + "grad_norm": 1.718741121509633, + "learning_rate": 1.825820992075059e-05, + "loss": 0.9918, + "step": 9126 + }, + { + "epoch": 0.22, + "grad_norm": 2.0265268853752687, + "learning_rate": 1.8257779593176034e-05, + "loss": 0.9638, + "step": 9127 + }, + { + "epoch": 0.22, + "grad_norm": 1.5897447641704296, + "learning_rate": 1.8257349217522072e-05, + "loss": 0.8704, + "step": 9128 + }, + { + "epoch": 0.22, + "grad_norm": 1.9371182051477758, + "learning_rate": 1.8256918793791208e-05, + "loss": 0.9309, + "step": 9129 + }, + { + "epoch": 0.22, + "grad_norm": 1.6001074514439906, + "learning_rate": 1.825648832198595e-05, + "loss": 0.9238, + "step": 9130 + }, + { + "epoch": 0.22, + "grad_norm": 1.9156406864003177, + "learning_rate": 1.82560578021088e-05, + "loss": 0.9616, + "step": 9131 + }, + { + "epoch": 0.22, + "grad_norm": 2.248142573618854, + "learning_rate": 1.8255627234162267e-05, + "loss": 0.8642, + "step": 9132 + }, + { + "epoch": 0.22, + "grad_norm": 1.6736281623720362, + "learning_rate": 1.8255196618148863e-05, + "loss": 0.9682, + "step": 9133 + }, + { + "epoch": 0.22, + "grad_norm": 1.5831337960968668, + "learning_rate": 1.825476595407109e-05, + "loss": 0.8722, + "step": 9134 + }, + { + "epoch": 0.22, + "grad_norm": 1.6141706699962126, + "learning_rate": 1.8254335241931453e-05, + "loss": 0.9633, + "step": 9135 + }, + { + "epoch": 0.22, + "grad_norm": 1.6715048353802695, + "learning_rate": 1.8253904481732464e-05, + "loss": 0.7908, + "step": 9136 + }, + { + "epoch": 0.22, + "grad_norm": 1.4688870663544324, + "learning_rate": 1.825347367347663e-05, + "loss": 0.9207, + "step": 9137 + }, + { + "epoch": 0.22, + "grad_norm": 3.1243947546057047, + "learning_rate": 1.8253042817166458e-05, + "loss": 0.7598, + "step": 9138 + }, + { + "epoch": 0.22, + "grad_norm": 1.8620064486103258, + "learning_rate": 1.825261191280446e-05, + "loss": 0.8935, + "step": 9139 + }, + { + "epoch": 0.22, + "grad_norm": 1.7868353503319068, + "learning_rate": 1.8252180960393145e-05, + "loss": 0.937, + "step": 9140 + }, + { + "epoch": 0.22, + "grad_norm": 1.5283100970295516, + "learning_rate": 1.8251749959935017e-05, + "loss": 0.9431, + "step": 9141 + }, + { + "epoch": 0.22, + "grad_norm": 0.8157426370278148, + "learning_rate": 1.8251318911432586e-05, + "loss": 0.7897, + "step": 9142 + }, + { + "epoch": 0.22, + "grad_norm": 2.0673494809591904, + "learning_rate": 1.8250887814888368e-05, + "loss": 0.8757, + "step": 9143 + }, + { + "epoch": 0.22, + "grad_norm": 2.5455169207251305, + "learning_rate": 1.8250456670304866e-05, + "loss": 0.9395, + "step": 9144 + }, + { + "epoch": 0.22, + "grad_norm": 1.514004562391708, + "learning_rate": 1.8250025477684598e-05, + "loss": 0.9256, + "step": 9145 + }, + { + "epoch": 0.22, + "grad_norm": 1.638219531456722, + "learning_rate": 1.8249594237030064e-05, + "loss": 0.8436, + "step": 9146 + }, + { + "epoch": 0.22, + "grad_norm": 1.8040456804919762, + "learning_rate": 1.8249162948343784e-05, + "loss": 0.9204, + "step": 9147 + }, + { + "epoch": 0.22, + "grad_norm": 1.6577804998365235, + "learning_rate": 1.8248731611628266e-05, + "loss": 0.9071, + "step": 9148 + }, + { + "epoch": 0.22, + "grad_norm": 1.8747744038026446, + "learning_rate": 1.8248300226886018e-05, + "loss": 0.9445, + "step": 9149 + }, + { + "epoch": 0.22, + "grad_norm": 1.8174036479512246, + "learning_rate": 1.8247868794119556e-05, + "loss": 0.9138, + "step": 9150 + }, + { + "epoch": 0.22, + "grad_norm": 1.7995626977676862, + "learning_rate": 1.8247437313331394e-05, + "loss": 0.9904, + "step": 9151 + }, + { + "epoch": 0.22, + "grad_norm": 0.8092602151825657, + "learning_rate": 1.8247005784524034e-05, + "loss": 0.7112, + "step": 9152 + }, + { + "epoch": 0.22, + "grad_norm": 0.7653604565187095, + "learning_rate": 1.82465742077e-05, + "loss": 0.6862, + "step": 9153 + }, + { + "epoch": 0.22, + "grad_norm": 1.4533066700301904, + "learning_rate": 1.8246142582861802e-05, + "loss": 0.9133, + "step": 9154 + }, + { + "epoch": 0.22, + "grad_norm": 2.91765915472108, + "learning_rate": 1.8245710910011945e-05, + "loss": 0.9521, + "step": 9155 + }, + { + "epoch": 0.22, + "grad_norm": 3.4591218984231586, + "learning_rate": 1.8245279189152952e-05, + "loss": 0.8906, + "step": 9156 + }, + { + "epoch": 0.22, + "grad_norm": 1.6307499469982627, + "learning_rate": 1.8244847420287334e-05, + "loss": 0.9437, + "step": 9157 + }, + { + "epoch": 0.22, + "grad_norm": 2.0933407404485815, + "learning_rate": 1.8244415603417603e-05, + "loss": 0.9715, + "step": 9158 + }, + { + "epoch": 0.22, + "grad_norm": 1.55372300229867, + "learning_rate": 1.8243983738546276e-05, + "loss": 0.8731, + "step": 9159 + }, + { + "epoch": 0.22, + "grad_norm": 1.5947077405707093, + "learning_rate": 1.8243551825675864e-05, + "loss": 0.881, + "step": 9160 + }, + { + "epoch": 0.22, + "grad_norm": 1.781046854740911, + "learning_rate": 1.8243119864808886e-05, + "loss": 0.7674, + "step": 9161 + }, + { + "epoch": 0.22, + "grad_norm": 1.7964661644762827, + "learning_rate": 1.824268785594785e-05, + "loss": 0.86, + "step": 9162 + }, + { + "epoch": 0.22, + "grad_norm": 1.8844868473875838, + "learning_rate": 1.824225579909528e-05, + "loss": 0.9017, + "step": 9163 + }, + { + "epoch": 0.22, + "grad_norm": 1.5985698272641042, + "learning_rate": 1.824182369425368e-05, + "loss": 0.9373, + "step": 9164 + }, + { + "epoch": 0.22, + "grad_norm": 1.5582231780789437, + "learning_rate": 1.824139154142558e-05, + "loss": 0.8335, + "step": 9165 + }, + { + "epoch": 0.22, + "grad_norm": 1.7920916735307844, + "learning_rate": 1.8240959340613488e-05, + "loss": 0.9113, + "step": 9166 + }, + { + "epoch": 0.22, + "grad_norm": 1.749848832416412, + "learning_rate": 1.8240527091819923e-05, + "loss": 0.892, + "step": 9167 + }, + { + "epoch": 0.22, + "grad_norm": 1.639268835422674, + "learning_rate": 1.82400947950474e-05, + "loss": 1.0419, + "step": 9168 + }, + { + "epoch": 0.22, + "grad_norm": 3.00244118264291, + "learning_rate": 1.8239662450298433e-05, + "loss": 0.9947, + "step": 9169 + }, + { + "epoch": 0.22, + "grad_norm": 1.70511906084891, + "learning_rate": 1.8239230057575542e-05, + "loss": 0.8727, + "step": 9170 + }, + { + "epoch": 0.22, + "grad_norm": 1.7426228679889786, + "learning_rate": 1.823879761688125e-05, + "loss": 1.1311, + "step": 9171 + }, + { + "epoch": 0.22, + "grad_norm": 1.9537435754890715, + "learning_rate": 1.8238365128218066e-05, + "loss": 0.736, + "step": 9172 + }, + { + "epoch": 0.22, + "grad_norm": 1.7265274731842237, + "learning_rate": 1.8237932591588513e-05, + "loss": 0.8713, + "step": 9173 + }, + { + "epoch": 0.22, + "grad_norm": 1.6716709533465297, + "learning_rate": 1.823750000699511e-05, + "loss": 0.9949, + "step": 9174 + }, + { + "epoch": 0.22, + "grad_norm": 1.590769771330842, + "learning_rate": 1.8237067374440372e-05, + "loss": 0.8907, + "step": 9175 + }, + { + "epoch": 0.22, + "grad_norm": 1.4882473315004283, + "learning_rate": 1.823663469392682e-05, + "loss": 0.9291, + "step": 9176 + }, + { + "epoch": 0.22, + "grad_norm": 2.054209736555574, + "learning_rate": 1.8236201965456975e-05, + "loss": 0.8646, + "step": 9177 + }, + { + "epoch": 0.22, + "grad_norm": 2.3180454605106764, + "learning_rate": 1.8235769189033354e-05, + "loss": 0.947, + "step": 9178 + }, + { + "epoch": 0.22, + "grad_norm": 1.7451588427778681, + "learning_rate": 1.8235336364658475e-05, + "loss": 0.9334, + "step": 9179 + }, + { + "epoch": 0.22, + "grad_norm": 1.8660263125713168, + "learning_rate": 1.8234903492334864e-05, + "loss": 0.9334, + "step": 9180 + }, + { + "epoch": 0.22, + "grad_norm": 1.5859626618241134, + "learning_rate": 1.8234470572065034e-05, + "loss": 0.9007, + "step": 9181 + }, + { + "epoch": 0.22, + "grad_norm": 1.5713739618736657, + "learning_rate": 1.8234037603851512e-05, + "loss": 0.8743, + "step": 9182 + }, + { + "epoch": 0.22, + "grad_norm": 2.3254312291838435, + "learning_rate": 1.8233604587696818e-05, + "loss": 0.9388, + "step": 9183 + }, + { + "epoch": 0.22, + "grad_norm": 1.5289783503849013, + "learning_rate": 1.823317152360347e-05, + "loss": 0.9875, + "step": 9184 + }, + { + "epoch": 0.22, + "grad_norm": 2.0608341401263957, + "learning_rate": 1.823273841157399e-05, + "loss": 0.8405, + "step": 9185 + }, + { + "epoch": 0.22, + "grad_norm": 1.6322835347833609, + "learning_rate": 1.82323052516109e-05, + "loss": 0.8988, + "step": 9186 + }, + { + "epoch": 0.22, + "grad_norm": 1.7083920039368388, + "learning_rate": 1.823187204371672e-05, + "loss": 0.9996, + "step": 9187 + }, + { + "epoch": 0.22, + "grad_norm": 1.580340745111553, + "learning_rate": 1.8231438787893978e-05, + "loss": 0.863, + "step": 9188 + }, + { + "epoch": 0.22, + "grad_norm": 1.6213467571798459, + "learning_rate": 1.8231005484145194e-05, + "loss": 0.8691, + "step": 9189 + }, + { + "epoch": 0.22, + "grad_norm": 1.625066732172763, + "learning_rate": 1.8230572132472888e-05, + "loss": 1.0248, + "step": 9190 + }, + { + "epoch": 0.22, + "grad_norm": 0.7996231945625191, + "learning_rate": 1.8230138732879588e-05, + "loss": 0.7428, + "step": 9191 + }, + { + "epoch": 0.22, + "grad_norm": 1.8384252046711447, + "learning_rate": 1.8229705285367812e-05, + "loss": 0.9301, + "step": 9192 + }, + { + "epoch": 0.22, + "grad_norm": 1.6113705911964755, + "learning_rate": 1.822927178994009e-05, + "loss": 0.8044, + "step": 9193 + }, + { + "epoch": 0.22, + "grad_norm": 1.6410304339164508, + "learning_rate": 1.822883824659894e-05, + "loss": 0.794, + "step": 9194 + }, + { + "epoch": 0.22, + "grad_norm": 1.6830415144831918, + "learning_rate": 1.8228404655346885e-05, + "loss": 0.8734, + "step": 9195 + }, + { + "epoch": 0.22, + "grad_norm": 3.2954122538046975, + "learning_rate": 1.8227971016186457e-05, + "loss": 0.8655, + "step": 9196 + }, + { + "epoch": 0.22, + "grad_norm": 1.3698158329546346, + "learning_rate": 1.8227537329120177e-05, + "loss": 0.861, + "step": 9197 + }, + { + "epoch": 0.22, + "grad_norm": 1.6806638844999489, + "learning_rate": 1.8227103594150568e-05, + "loss": 0.9682, + "step": 9198 + }, + { + "epoch": 0.22, + "grad_norm": 1.769548553814819, + "learning_rate": 1.822666981128016e-05, + "loss": 0.8006, + "step": 9199 + }, + { + "epoch": 0.22, + "grad_norm": 1.8488409797308765, + "learning_rate": 1.8226235980511476e-05, + "loss": 0.8577, + "step": 9200 + }, + { + "epoch": 0.22, + "grad_norm": 2.2359649392312817, + "learning_rate": 1.8225802101847038e-05, + "loss": 0.9453, + "step": 9201 + }, + { + "epoch": 0.22, + "grad_norm": 1.4838930232467828, + "learning_rate": 1.8225368175289378e-05, + "loss": 0.9679, + "step": 9202 + }, + { + "epoch": 0.22, + "grad_norm": 1.7521252062386914, + "learning_rate": 1.822493420084102e-05, + "loss": 0.9688, + "step": 9203 + }, + { + "epoch": 0.22, + "grad_norm": 1.4499941428852443, + "learning_rate": 1.822450017850449e-05, + "loss": 0.8438, + "step": 9204 + }, + { + "epoch": 0.22, + "grad_norm": 1.6427229847425318, + "learning_rate": 1.8224066108282318e-05, + "loss": 0.8797, + "step": 9205 + }, + { + "epoch": 0.22, + "grad_norm": 1.5829429873709226, + "learning_rate": 1.8223631990177027e-05, + "loss": 0.8591, + "step": 9206 + }, + { + "epoch": 0.22, + "grad_norm": 1.6084122200107849, + "learning_rate": 1.822319782419115e-05, + "loss": 0.7885, + "step": 9207 + }, + { + "epoch": 0.22, + "grad_norm": 2.0907375504808745, + "learning_rate": 1.822276361032721e-05, + "loss": 0.9134, + "step": 9208 + }, + { + "epoch": 0.22, + "grad_norm": 1.6190911302972406, + "learning_rate": 1.822232934858774e-05, + "loss": 0.8804, + "step": 9209 + }, + { + "epoch": 0.22, + "grad_norm": 0.764252755824297, + "learning_rate": 1.822189503897526e-05, + "loss": 0.7697, + "step": 9210 + }, + { + "epoch": 0.22, + "grad_norm": 2.3955772692011306, + "learning_rate": 1.822146068149231e-05, + "loss": 0.8339, + "step": 9211 + }, + { + "epoch": 0.22, + "grad_norm": 1.5406882618598345, + "learning_rate": 1.822102627614141e-05, + "loss": 0.9355, + "step": 9212 + }, + { + "epoch": 0.22, + "grad_norm": 0.7630823689881185, + "learning_rate": 1.822059182292509e-05, + "loss": 0.6915, + "step": 9213 + }, + { + "epoch": 0.22, + "grad_norm": 1.5571524126566936, + "learning_rate": 1.8220157321845887e-05, + "loss": 1.0378, + "step": 9214 + }, + { + "epoch": 0.22, + "grad_norm": 2.682934420290578, + "learning_rate": 1.821972277290632e-05, + "loss": 0.9619, + "step": 9215 + }, + { + "epoch": 0.22, + "grad_norm": 1.2822507218552959, + "learning_rate": 1.8219288176108928e-05, + "loss": 0.848, + "step": 9216 + }, + { + "epoch": 0.22, + "grad_norm": 1.9875476203490021, + "learning_rate": 1.821885353145624e-05, + "loss": 0.8271, + "step": 9217 + }, + { + "epoch": 0.22, + "grad_norm": 1.8772297181472082, + "learning_rate": 1.821841883895078e-05, + "loss": 1.0519, + "step": 9218 + }, + { + "epoch": 0.22, + "grad_norm": 1.5084044474344702, + "learning_rate": 1.8217984098595086e-05, + "loss": 0.8949, + "step": 9219 + }, + { + "epoch": 0.22, + "grad_norm": 1.7330186842436102, + "learning_rate": 1.8217549310391687e-05, + "loss": 0.8924, + "step": 9220 + }, + { + "epoch": 0.22, + "grad_norm": 1.4626267853400305, + "learning_rate": 1.8217114474343113e-05, + "loss": 1.0275, + "step": 9221 + }, + { + "epoch": 0.22, + "grad_norm": 1.626988529648551, + "learning_rate": 1.82166795904519e-05, + "loss": 0.8873, + "step": 9222 + }, + { + "epoch": 0.22, + "grad_norm": 2.1072128147761506, + "learning_rate": 1.8216244658720573e-05, + "loss": 0.9808, + "step": 9223 + }, + { + "epoch": 0.22, + "grad_norm": 1.7548663659192787, + "learning_rate": 1.821580967915167e-05, + "loss": 0.901, + "step": 9224 + }, + { + "epoch": 0.22, + "grad_norm": 1.6495528746767145, + "learning_rate": 1.8215374651747723e-05, + "loss": 0.8557, + "step": 9225 + }, + { + "epoch": 0.22, + "grad_norm": 2.2973136196180772, + "learning_rate": 1.8214939576511265e-05, + "loss": 0.8876, + "step": 9226 + }, + { + "epoch": 0.22, + "grad_norm": 1.5653645825546025, + "learning_rate": 1.8214504453444825e-05, + "loss": 0.8051, + "step": 9227 + }, + { + "epoch": 0.22, + "grad_norm": 1.557260943387838, + "learning_rate": 1.821406928255094e-05, + "loss": 1.0936, + "step": 9228 + }, + { + "epoch": 0.22, + "grad_norm": 1.7469449063900244, + "learning_rate": 1.8213634063832146e-05, + "loss": 0.9897, + "step": 9229 + }, + { + "epoch": 0.22, + "grad_norm": 0.7735992639370545, + "learning_rate": 1.8213198797290973e-05, + "loss": 0.7288, + "step": 9230 + }, + { + "epoch": 0.22, + "grad_norm": 0.7375457318732495, + "learning_rate": 1.821276348292995e-05, + "loss": 0.6883, + "step": 9231 + }, + { + "epoch": 0.22, + "grad_norm": 1.5875213451605161, + "learning_rate": 1.8212328120751626e-05, + "loss": 1.0144, + "step": 9232 + }, + { + "epoch": 0.22, + "grad_norm": 1.5896191230341359, + "learning_rate": 1.8211892710758525e-05, + "loss": 0.8997, + "step": 9233 + }, + { + "epoch": 0.22, + "grad_norm": 1.8216435918322875, + "learning_rate": 1.8211457252953185e-05, + "loss": 0.8756, + "step": 9234 + }, + { + "epoch": 0.22, + "grad_norm": 1.5673863727315238, + "learning_rate": 1.821102174733814e-05, + "loss": 0.9951, + "step": 9235 + }, + { + "epoch": 0.22, + "grad_norm": 1.656729559923906, + "learning_rate": 1.8210586193915928e-05, + "loss": 0.8944, + "step": 9236 + }, + { + "epoch": 0.22, + "grad_norm": 0.7591943346657544, + "learning_rate": 1.8210150592689083e-05, + "loss": 0.7595, + "step": 9237 + }, + { + "epoch": 0.22, + "grad_norm": 1.6456251212606425, + "learning_rate": 1.8209714943660143e-05, + "loss": 0.9255, + "step": 9238 + }, + { + "epoch": 0.22, + "grad_norm": 1.4156440454506067, + "learning_rate": 1.8209279246831643e-05, + "loss": 0.8867, + "step": 9239 + }, + { + "epoch": 0.22, + "grad_norm": 2.1917618886713366, + "learning_rate": 1.8208843502206118e-05, + "loss": 0.8847, + "step": 9240 + }, + { + "epoch": 0.22, + "grad_norm": 2.255405752752306, + "learning_rate": 1.8208407709786107e-05, + "loss": 0.9532, + "step": 9241 + }, + { + "epoch": 0.22, + "grad_norm": 1.5537438328840378, + "learning_rate": 1.8207971869574154e-05, + "loss": 0.9695, + "step": 9242 + }, + { + "epoch": 0.22, + "grad_norm": 1.5141442366133429, + "learning_rate": 1.8207535981572785e-05, + "loss": 0.9302, + "step": 9243 + }, + { + "epoch": 0.22, + "grad_norm": 1.8102453761779027, + "learning_rate": 1.8207100045784544e-05, + "loss": 0.8788, + "step": 9244 + }, + { + "epoch": 0.22, + "grad_norm": 1.7364995696652494, + "learning_rate": 1.8206664062211966e-05, + "loss": 0.959, + "step": 9245 + }, + { + "epoch": 0.22, + "grad_norm": 2.061873025086393, + "learning_rate": 1.8206228030857595e-05, + "loss": 0.7699, + "step": 9246 + }, + { + "epoch": 0.22, + "grad_norm": 2.2427495338358634, + "learning_rate": 1.8205791951723966e-05, + "loss": 1.0133, + "step": 9247 + }, + { + "epoch": 0.22, + "grad_norm": 1.637725899171308, + "learning_rate": 1.8205355824813617e-05, + "loss": 0.9858, + "step": 9248 + }, + { + "epoch": 0.22, + "grad_norm": 1.7764725373059957, + "learning_rate": 1.8204919650129088e-05, + "loss": 0.898, + "step": 9249 + }, + { + "epoch": 0.22, + "grad_norm": 1.7725454936698826, + "learning_rate": 1.8204483427672924e-05, + "loss": 0.8415, + "step": 9250 + }, + { + "epoch": 0.22, + "grad_norm": 1.6052354373494164, + "learning_rate": 1.8204047157447652e-05, + "loss": 0.8003, + "step": 9251 + }, + { + "epoch": 0.22, + "grad_norm": 1.7223285854521584, + "learning_rate": 1.8203610839455828e-05, + "loss": 0.9823, + "step": 9252 + }, + { + "epoch": 0.22, + "grad_norm": 3.4046911899789065, + "learning_rate": 1.820317447369998e-05, + "loss": 0.8685, + "step": 9253 + }, + { + "epoch": 0.22, + "grad_norm": 0.7571585287269161, + "learning_rate": 1.8202738060182655e-05, + "loss": 0.7631, + "step": 9254 + }, + { + "epoch": 0.22, + "grad_norm": 1.8346399448831918, + "learning_rate": 1.8202301598906388e-05, + "loss": 0.928, + "step": 9255 + }, + { + "epoch": 0.22, + "grad_norm": 0.7722156924451805, + "learning_rate": 1.820186508987373e-05, + "loss": 0.7344, + "step": 9256 + }, + { + "epoch": 0.22, + "grad_norm": 2.0662286085513415, + "learning_rate": 1.8201428533087214e-05, + "loss": 0.9091, + "step": 9257 + }, + { + "epoch": 0.22, + "grad_norm": 1.4434455014647045, + "learning_rate": 1.820099192854938e-05, + "loss": 0.9882, + "step": 9258 + }, + { + "epoch": 0.22, + "grad_norm": 1.6684963840854017, + "learning_rate": 1.8200555276262784e-05, + "loss": 1.0022, + "step": 9259 + }, + { + "epoch": 0.22, + "grad_norm": 1.7547783016653118, + "learning_rate": 1.8200118576229953e-05, + "loss": 0.9332, + "step": 9260 + }, + { + "epoch": 0.22, + "grad_norm": 1.8861526948425387, + "learning_rate": 1.8199681828453438e-05, + "loss": 1.0515, + "step": 9261 + }, + { + "epoch": 0.22, + "grad_norm": 1.617815697327686, + "learning_rate": 1.8199245032935775e-05, + "loss": 0.8297, + "step": 9262 + }, + { + "epoch": 0.22, + "grad_norm": 1.675620457193548, + "learning_rate": 1.8198808189679518e-05, + "loss": 1.0173, + "step": 9263 + }, + { + "epoch": 0.22, + "grad_norm": 1.496854453297212, + "learning_rate": 1.81983712986872e-05, + "loss": 0.9366, + "step": 9264 + }, + { + "epoch": 0.22, + "grad_norm": 1.4429698127190413, + "learning_rate": 1.819793435996137e-05, + "loss": 0.8982, + "step": 9265 + }, + { + "epoch": 0.22, + "grad_norm": 2.169876449025356, + "learning_rate": 1.819749737350457e-05, + "loss": 0.8962, + "step": 9266 + }, + { + "epoch": 0.22, + "grad_norm": 0.7558942568893757, + "learning_rate": 1.8197060339319345e-05, + "loss": 0.7775, + "step": 9267 + }, + { + "epoch": 0.22, + "grad_norm": 1.9849462636238262, + "learning_rate": 1.8196623257408238e-05, + "loss": 0.9421, + "step": 9268 + }, + { + "epoch": 0.22, + "grad_norm": 1.618172567578441, + "learning_rate": 1.8196186127773797e-05, + "loss": 0.9568, + "step": 9269 + }, + { + "epoch": 0.22, + "grad_norm": 1.459708627117925, + "learning_rate": 1.8195748950418567e-05, + "loss": 0.9783, + "step": 9270 + }, + { + "epoch": 0.22, + "grad_norm": 1.7423863443478986, + "learning_rate": 1.819531172534509e-05, + "loss": 0.9391, + "step": 9271 + }, + { + "epoch": 0.22, + "grad_norm": 2.091243435074845, + "learning_rate": 1.8194874452555914e-05, + "loss": 1.0691, + "step": 9272 + }, + { + "epoch": 0.22, + "grad_norm": 0.7566653579708411, + "learning_rate": 1.8194437132053586e-05, + "loss": 0.7283, + "step": 9273 + }, + { + "epoch": 0.22, + "grad_norm": 0.7795655677598526, + "learning_rate": 1.8193999763840647e-05, + "loss": 0.7617, + "step": 9274 + }, + { + "epoch": 0.22, + "grad_norm": 1.6862839148263369, + "learning_rate": 1.819356234791965e-05, + "loss": 1.0391, + "step": 9275 + }, + { + "epoch": 0.22, + "grad_norm": 1.9643520427467034, + "learning_rate": 1.819312488429314e-05, + "loss": 0.9045, + "step": 9276 + }, + { + "epoch": 0.22, + "grad_norm": 2.108679991042721, + "learning_rate": 1.819268737296366e-05, + "loss": 0.8632, + "step": 9277 + }, + { + "epoch": 0.22, + "grad_norm": 1.9010958229646933, + "learning_rate": 1.8192249813933762e-05, + "loss": 0.9384, + "step": 9278 + }, + { + "epoch": 0.22, + "grad_norm": 1.532382293298193, + "learning_rate": 1.819181220720599e-05, + "loss": 0.8279, + "step": 9279 + }, + { + "epoch": 0.22, + "grad_norm": 1.6353792768688404, + "learning_rate": 1.81913745527829e-05, + "loss": 0.8929, + "step": 9280 + }, + { + "epoch": 0.22, + "grad_norm": 1.6106443741493077, + "learning_rate": 1.8190936850667028e-05, + "loss": 1.0236, + "step": 9281 + }, + { + "epoch": 0.22, + "grad_norm": 1.9455054172193653, + "learning_rate": 1.819049910086093e-05, + "loss": 0.8725, + "step": 9282 + }, + { + "epoch": 0.22, + "grad_norm": 0.8026973044419438, + "learning_rate": 1.819006130336715e-05, + "loss": 0.7643, + "step": 9283 + }, + { + "epoch": 0.22, + "grad_norm": 1.8647628142059733, + "learning_rate": 1.818962345818825e-05, + "loss": 0.9856, + "step": 9284 + }, + { + "epoch": 0.22, + "grad_norm": 1.5483360380705202, + "learning_rate": 1.818918556532676e-05, + "loss": 0.9503, + "step": 9285 + }, + { + "epoch": 0.22, + "grad_norm": 1.8597621971469904, + "learning_rate": 1.818874762478524e-05, + "loss": 0.8872, + "step": 9286 + }, + { + "epoch": 0.22, + "grad_norm": 1.597195517848466, + "learning_rate": 1.818830963656624e-05, + "loss": 0.9233, + "step": 9287 + }, + { + "epoch": 0.22, + "grad_norm": 1.6254003625584428, + "learning_rate": 1.818787160067231e-05, + "loss": 0.8403, + "step": 9288 + }, + { + "epoch": 0.22, + "grad_norm": 1.7062667894534869, + "learning_rate": 1.8187433517106e-05, + "loss": 0.8494, + "step": 9289 + }, + { + "epoch": 0.22, + "grad_norm": 1.7286771538862074, + "learning_rate": 1.8186995385869857e-05, + "loss": 0.7904, + "step": 9290 + }, + { + "epoch": 0.22, + "grad_norm": 2.35543441688131, + "learning_rate": 1.818655720696644e-05, + "loss": 0.9227, + "step": 9291 + }, + { + "epoch": 0.22, + "grad_norm": 0.8229180165429685, + "learning_rate": 1.818611898039829e-05, + "loss": 0.7424, + "step": 9292 + }, + { + "epoch": 0.22, + "grad_norm": 1.865054670572262, + "learning_rate": 1.8185680706167966e-05, + "loss": 0.8194, + "step": 9293 + }, + { + "epoch": 0.22, + "grad_norm": 2.058311918547822, + "learning_rate": 1.8185242384278016e-05, + "loss": 0.9412, + "step": 9294 + }, + { + "epoch": 0.22, + "grad_norm": 2.2609639698558786, + "learning_rate": 1.8184804014730994e-05, + "loss": 0.8668, + "step": 9295 + }, + { + "epoch": 0.22, + "grad_norm": 1.5893879240541349, + "learning_rate": 1.8184365597529454e-05, + "loss": 0.8971, + "step": 9296 + }, + { + "epoch": 0.22, + "grad_norm": 1.5469790007764748, + "learning_rate": 1.8183927132675945e-05, + "loss": 0.9289, + "step": 9297 + }, + { + "epoch": 0.22, + "grad_norm": 1.5719316272911228, + "learning_rate": 1.818348862017302e-05, + "loss": 1.0299, + "step": 9298 + }, + { + "epoch": 0.22, + "grad_norm": 1.7952466052943599, + "learning_rate": 1.8183050060023233e-05, + "loss": 0.8974, + "step": 9299 + }, + { + "epoch": 0.22, + "grad_norm": 1.705527363088517, + "learning_rate": 1.818261145222914e-05, + "loss": 1.0, + "step": 9300 + }, + { + "epoch": 0.22, + "grad_norm": 1.79667589529934, + "learning_rate": 1.8182172796793292e-05, + "loss": 0.9379, + "step": 9301 + }, + { + "epoch": 0.22, + "grad_norm": 1.743357509059103, + "learning_rate": 1.8181734093718245e-05, + "loss": 0.8734, + "step": 9302 + }, + { + "epoch": 0.22, + "grad_norm": 1.5587404526463984, + "learning_rate": 1.818129534300655e-05, + "loss": 0.9672, + "step": 9303 + }, + { + "epoch": 0.22, + "grad_norm": 1.7324870811870468, + "learning_rate": 1.8180856544660763e-05, + "loss": 0.9311, + "step": 9304 + }, + { + "epoch": 0.22, + "grad_norm": 1.5857189340489248, + "learning_rate": 1.8180417698683437e-05, + "loss": 0.9716, + "step": 9305 + }, + { + "epoch": 0.22, + "grad_norm": 1.7778299242302882, + "learning_rate": 1.817997880507713e-05, + "loss": 0.8847, + "step": 9306 + }, + { + "epoch": 0.22, + "grad_norm": 1.553214597103997, + "learning_rate": 1.81795398638444e-05, + "loss": 0.9546, + "step": 9307 + }, + { + "epoch": 0.22, + "grad_norm": 1.5377790002875242, + "learning_rate": 1.81791008749878e-05, + "loss": 0.9987, + "step": 9308 + }, + { + "epoch": 0.22, + "grad_norm": 1.4828928994567974, + "learning_rate": 1.817866183850988e-05, + "loss": 0.9762, + "step": 9309 + }, + { + "epoch": 0.22, + "grad_norm": 2.20749393531671, + "learning_rate": 1.8178222754413206e-05, + "loss": 0.9794, + "step": 9310 + }, + { + "epoch": 0.22, + "grad_norm": 1.6072631220304854, + "learning_rate": 1.8177783622700328e-05, + "loss": 0.8442, + "step": 9311 + }, + { + "epoch": 0.22, + "grad_norm": 1.7840434636648574, + "learning_rate": 1.8177344443373806e-05, + "loss": 0.9572, + "step": 9312 + }, + { + "epoch": 0.22, + "grad_norm": 0.7579401068908377, + "learning_rate": 1.8176905216436192e-05, + "loss": 0.7269, + "step": 9313 + }, + { + "epoch": 0.22, + "grad_norm": 0.8067083846253041, + "learning_rate": 1.817646594189005e-05, + "loss": 0.7696, + "step": 9314 + }, + { + "epoch": 0.22, + "grad_norm": 1.894030785561376, + "learning_rate": 1.8176026619737935e-05, + "loss": 0.9453, + "step": 9315 + }, + { + "epoch": 0.22, + "grad_norm": 2.203628902590722, + "learning_rate": 1.8175587249982405e-05, + "loss": 1.0296, + "step": 9316 + }, + { + "epoch": 0.22, + "grad_norm": 1.6747872164707502, + "learning_rate": 1.8175147832626018e-05, + "loss": 0.9508, + "step": 9317 + }, + { + "epoch": 0.22, + "grad_norm": 1.4985338102215326, + "learning_rate": 1.8174708367671326e-05, + "loss": 0.8756, + "step": 9318 + }, + { + "epoch": 0.22, + "grad_norm": 1.663104316733908, + "learning_rate": 1.81742688551209e-05, + "loss": 0.8681, + "step": 9319 + }, + { + "epoch": 0.22, + "grad_norm": 1.5801946837910013, + "learning_rate": 1.8173829294977294e-05, + "loss": 0.8001, + "step": 9320 + }, + { + "epoch": 0.22, + "grad_norm": 1.6469474268755615, + "learning_rate": 1.8173389687243063e-05, + "loss": 1.0519, + "step": 9321 + }, + { + "epoch": 0.22, + "grad_norm": 1.7300729343138501, + "learning_rate": 1.8172950031920772e-05, + "loss": 0.9368, + "step": 9322 + }, + { + "epoch": 0.22, + "grad_norm": 1.5470226269250513, + "learning_rate": 1.8172510329012974e-05, + "loss": 0.8495, + "step": 9323 + }, + { + "epoch": 0.22, + "grad_norm": 2.349253367067115, + "learning_rate": 1.8172070578522235e-05, + "loss": 0.8323, + "step": 9324 + }, + { + "epoch": 0.22, + "grad_norm": 1.7946114490074028, + "learning_rate": 1.8171630780451115e-05, + "loss": 0.9522, + "step": 9325 + }, + { + "epoch": 0.22, + "grad_norm": 2.777119094591636, + "learning_rate": 1.8171190934802175e-05, + "loss": 0.9415, + "step": 9326 + }, + { + "epoch": 0.22, + "grad_norm": 1.8832746158345635, + "learning_rate": 1.8170751041577972e-05, + "loss": 0.8988, + "step": 9327 + }, + { + "epoch": 0.22, + "grad_norm": 0.8580735616975187, + "learning_rate": 1.817031110078107e-05, + "loss": 0.7341, + "step": 9328 + }, + { + "epoch": 0.22, + "grad_norm": 1.8678486747438858, + "learning_rate": 1.816987111241403e-05, + "loss": 0.9277, + "step": 9329 + }, + { + "epoch": 0.22, + "grad_norm": 2.7976242236867823, + "learning_rate": 1.8169431076479415e-05, + "loss": 0.9463, + "step": 9330 + }, + { + "epoch": 0.22, + "grad_norm": 1.7881021623575881, + "learning_rate": 1.8168990992979785e-05, + "loss": 0.8997, + "step": 9331 + }, + { + "epoch": 0.22, + "grad_norm": 2.0204588991956265, + "learning_rate": 1.8168550861917702e-05, + "loss": 0.8671, + "step": 9332 + }, + { + "epoch": 0.22, + "grad_norm": 2.198120991710964, + "learning_rate": 1.8168110683295733e-05, + "loss": 0.9821, + "step": 9333 + }, + { + "epoch": 0.22, + "grad_norm": 2.0511460408686735, + "learning_rate": 1.8167670457116434e-05, + "loss": 0.8344, + "step": 9334 + }, + { + "epoch": 0.22, + "grad_norm": 0.7487656650306703, + "learning_rate": 1.8167230183382375e-05, + "loss": 0.7136, + "step": 9335 + }, + { + "epoch": 0.22, + "grad_norm": 2.0838335075017684, + "learning_rate": 1.8166789862096114e-05, + "loss": 0.947, + "step": 9336 + }, + { + "epoch": 0.22, + "grad_norm": 1.7271944315696772, + "learning_rate": 1.8166349493260218e-05, + "loss": 0.9096, + "step": 9337 + }, + { + "epoch": 0.22, + "grad_norm": 1.9470048324925215, + "learning_rate": 1.816590907687725e-05, + "loss": 0.9117, + "step": 9338 + }, + { + "epoch": 0.22, + "grad_norm": 1.5820107385658206, + "learning_rate": 1.816546861294977e-05, + "loss": 0.884, + "step": 9339 + }, + { + "epoch": 0.22, + "grad_norm": 1.7062659324061358, + "learning_rate": 1.8165028101480354e-05, + "loss": 1.0458, + "step": 9340 + }, + { + "epoch": 0.22, + "grad_norm": 1.8160571049896537, + "learning_rate": 1.8164587542471555e-05, + "loss": 0.9397, + "step": 9341 + }, + { + "epoch": 0.22, + "grad_norm": 1.7000561079934147, + "learning_rate": 1.816414693592594e-05, + "loss": 0.9586, + "step": 9342 + }, + { + "epoch": 0.22, + "grad_norm": 3.2046404537241684, + "learning_rate": 1.816370628184608e-05, + "loss": 0.8286, + "step": 9343 + }, + { + "epoch": 0.22, + "grad_norm": 1.4942984158357084, + "learning_rate": 1.816326558023454e-05, + "loss": 0.8381, + "step": 9344 + }, + { + "epoch": 0.22, + "grad_norm": 1.618443756073384, + "learning_rate": 1.816282483109388e-05, + "loss": 0.9941, + "step": 9345 + }, + { + "epoch": 0.22, + "grad_norm": 1.7136633914670294, + "learning_rate": 1.816238403442667e-05, + "loss": 0.9243, + "step": 9346 + }, + { + "epoch": 0.22, + "grad_norm": 1.640325976373535, + "learning_rate": 1.8161943190235476e-05, + "loss": 0.9202, + "step": 9347 + }, + { + "epoch": 0.22, + "grad_norm": 0.7984546168387102, + "learning_rate": 1.8161502298522865e-05, + "loss": 0.6869, + "step": 9348 + }, + { + "epoch": 0.22, + "grad_norm": 1.6280783529133722, + "learning_rate": 1.81610613592914e-05, + "loss": 1.0291, + "step": 9349 + }, + { + "epoch": 0.22, + "grad_norm": 2.297481137069097, + "learning_rate": 1.816062037254366e-05, + "loss": 0.878, + "step": 9350 + }, + { + "epoch": 0.22, + "grad_norm": 0.7320014213490829, + "learning_rate": 1.8160179338282196e-05, + "loss": 0.7365, + "step": 9351 + }, + { + "epoch": 0.22, + "grad_norm": 1.6759612603570369, + "learning_rate": 1.815973825650959e-05, + "loss": 0.8524, + "step": 9352 + }, + { + "epoch": 0.22, + "grad_norm": 1.5882703506273537, + "learning_rate": 1.8159297127228403e-05, + "loss": 0.9999, + "step": 9353 + }, + { + "epoch": 0.22, + "grad_norm": 1.5543799348072027, + "learning_rate": 1.8158855950441206e-05, + "loss": 1.1072, + "step": 9354 + }, + { + "epoch": 0.22, + "grad_norm": 1.9627499359898308, + "learning_rate": 1.8158414726150565e-05, + "loss": 0.8789, + "step": 9355 + }, + { + "epoch": 0.22, + "grad_norm": 1.9596359278985425, + "learning_rate": 1.815797345435905e-05, + "loss": 0.9173, + "step": 9356 + }, + { + "epoch": 0.22, + "grad_norm": 1.693185862661194, + "learning_rate": 1.815753213506923e-05, + "loss": 0.9612, + "step": 9357 + }, + { + "epoch": 0.22, + "grad_norm": 0.7959927510331867, + "learning_rate": 1.815709076828368e-05, + "loss": 0.7135, + "step": 9358 + }, + { + "epoch": 0.22, + "grad_norm": 1.7833937398344502, + "learning_rate": 1.815664935400496e-05, + "loss": 0.9287, + "step": 9359 + }, + { + "epoch": 0.22, + "grad_norm": 1.572265297211441, + "learning_rate": 1.815620789223565e-05, + "loss": 0.9328, + "step": 9360 + }, + { + "epoch": 0.22, + "grad_norm": 1.4870541212240254, + "learning_rate": 1.8155766382978314e-05, + "loss": 0.8093, + "step": 9361 + }, + { + "epoch": 0.22, + "grad_norm": 1.7112640323810382, + "learning_rate": 1.815532482623552e-05, + "loss": 1.0894, + "step": 9362 + }, + { + "epoch": 0.22, + "grad_norm": 2.0007050439324128, + "learning_rate": 1.8154883222009844e-05, + "loss": 0.9283, + "step": 9363 + }, + { + "epoch": 0.22, + "grad_norm": 1.750595391692833, + "learning_rate": 1.815444157030386e-05, + "loss": 0.8977, + "step": 9364 + }, + { + "epoch": 0.22, + "grad_norm": 7.193231673965686, + "learning_rate": 1.8153999871120135e-05, + "loss": 0.7699, + "step": 9365 + }, + { + "epoch": 0.22, + "grad_norm": 1.9491339897400906, + "learning_rate": 1.8153558124461236e-05, + "loss": 0.9149, + "step": 9366 + }, + { + "epoch": 0.22, + "grad_norm": 0.7931164681700046, + "learning_rate": 1.8153116330329745e-05, + "loss": 0.7725, + "step": 9367 + }, + { + "epoch": 0.22, + "grad_norm": 1.5210451925276305, + "learning_rate": 1.815267448872823e-05, + "loss": 0.8796, + "step": 9368 + }, + { + "epoch": 0.22, + "grad_norm": 1.880800361205127, + "learning_rate": 1.815223259965926e-05, + "loss": 1.0427, + "step": 9369 + }, + { + "epoch": 0.22, + "grad_norm": 2.1071493754944277, + "learning_rate": 1.8151790663125412e-05, + "loss": 1.0717, + "step": 9370 + }, + { + "epoch": 0.22, + "grad_norm": 1.8946227720271769, + "learning_rate": 1.8151348679129257e-05, + "loss": 0.8687, + "step": 9371 + }, + { + "epoch": 0.22, + "grad_norm": 2.4259007222408298, + "learning_rate": 1.815090664767337e-05, + "loss": 0.9452, + "step": 9372 + }, + { + "epoch": 0.22, + "grad_norm": 2.0180809523556404, + "learning_rate": 1.8150464568760327e-05, + "loss": 0.9211, + "step": 9373 + }, + { + "epoch": 0.22, + "grad_norm": 2.1590637406824023, + "learning_rate": 1.8150022442392695e-05, + "loss": 1.0148, + "step": 9374 + }, + { + "epoch": 0.22, + "grad_norm": 1.801442530973802, + "learning_rate": 1.814958026857305e-05, + "loss": 0.8805, + "step": 9375 + }, + { + "epoch": 0.22, + "grad_norm": 1.5411803089708889, + "learning_rate": 1.8149138047303977e-05, + "loss": 0.9414, + "step": 9376 + }, + { + "epoch": 0.22, + "grad_norm": 1.5510684411874305, + "learning_rate": 1.8148695778588034e-05, + "loss": 0.8308, + "step": 9377 + }, + { + "epoch": 0.22, + "grad_norm": 1.7969366005388423, + "learning_rate": 1.814825346242781e-05, + "loss": 0.8789, + "step": 9378 + }, + { + "epoch": 0.22, + "grad_norm": 1.6033546419798264, + "learning_rate": 1.814781109882587e-05, + "loss": 0.986, + "step": 9379 + }, + { + "epoch": 0.22, + "grad_norm": 1.793828003689812, + "learning_rate": 1.8147368687784798e-05, + "loss": 1.083, + "step": 9380 + }, + { + "epoch": 0.22, + "grad_norm": 1.7523046713314743, + "learning_rate": 1.8146926229307166e-05, + "loss": 0.9278, + "step": 9381 + }, + { + "epoch": 0.22, + "grad_norm": 1.5746003343231059, + "learning_rate": 1.814648372339555e-05, + "loss": 0.8861, + "step": 9382 + }, + { + "epoch": 0.22, + "grad_norm": 2.1603479275410096, + "learning_rate": 1.8146041170052524e-05, + "loss": 0.9398, + "step": 9383 + }, + { + "epoch": 0.22, + "grad_norm": 1.5396922465734268, + "learning_rate": 1.814559856928067e-05, + "loss": 0.8032, + "step": 9384 + }, + { + "epoch": 0.22, + "grad_norm": 2.269142575570653, + "learning_rate": 1.814515592108256e-05, + "loss": 0.8715, + "step": 9385 + }, + { + "epoch": 0.22, + "grad_norm": 1.7724430271332754, + "learning_rate": 1.814471322546077e-05, + "loss": 0.9202, + "step": 9386 + }, + { + "epoch": 0.22, + "grad_norm": 1.7831188356749452, + "learning_rate": 1.8144270482417887e-05, + "loss": 0.8997, + "step": 9387 + }, + { + "epoch": 0.22, + "grad_norm": 1.7592410457680958, + "learning_rate": 1.8143827691956483e-05, + "loss": 0.9909, + "step": 9388 + }, + { + "epoch": 0.22, + "grad_norm": 1.6315816068837679, + "learning_rate": 1.8143384854079132e-05, + "loss": 0.8855, + "step": 9389 + }, + { + "epoch": 0.22, + "grad_norm": 2.1347520132025677, + "learning_rate": 1.8142941968788422e-05, + "loss": 0.815, + "step": 9390 + }, + { + "epoch": 0.22, + "grad_norm": 2.595806522322404, + "learning_rate": 1.8142499036086922e-05, + "loss": 0.9509, + "step": 9391 + }, + { + "epoch": 0.22, + "grad_norm": 1.7554412439810703, + "learning_rate": 1.8142056055977212e-05, + "loss": 1.0255, + "step": 9392 + }, + { + "epoch": 0.22, + "grad_norm": 1.403543299734387, + "learning_rate": 1.8141613028461877e-05, + "loss": 0.9713, + "step": 9393 + }, + { + "epoch": 0.22, + "grad_norm": 1.8049070151523614, + "learning_rate": 1.8141169953543495e-05, + "loss": 0.8983, + "step": 9394 + }, + { + "epoch": 0.22, + "grad_norm": 1.5505099401554785, + "learning_rate": 1.8140726831224644e-05, + "loss": 0.8672, + "step": 9395 + }, + { + "epoch": 0.22, + "grad_norm": 1.771450694654712, + "learning_rate": 1.8140283661507904e-05, + "loss": 0.8923, + "step": 9396 + }, + { + "epoch": 0.22, + "grad_norm": 1.6282527333246428, + "learning_rate": 1.813984044439585e-05, + "loss": 0.8895, + "step": 9397 + }, + { + "epoch": 0.22, + "grad_norm": 1.7278693304396289, + "learning_rate": 1.8139397179891075e-05, + "loss": 0.9722, + "step": 9398 + }, + { + "epoch": 0.22, + "grad_norm": 1.713518061885266, + "learning_rate": 1.8138953867996147e-05, + "loss": 0.968, + "step": 9399 + }, + { + "epoch": 0.22, + "grad_norm": 1.848888199534125, + "learning_rate": 1.8138510508713656e-05, + "loss": 0.8779, + "step": 9400 + }, + { + "epoch": 0.22, + "grad_norm": 1.5269184259302775, + "learning_rate": 1.813806710204618e-05, + "loss": 0.9456, + "step": 9401 + }, + { + "epoch": 0.22, + "grad_norm": 2.853213321348467, + "learning_rate": 1.81376236479963e-05, + "loss": 0.9823, + "step": 9402 + }, + { + "epoch": 0.22, + "grad_norm": 2.7232880603897773, + "learning_rate": 1.81371801465666e-05, + "loss": 0.8902, + "step": 9403 + }, + { + "epoch": 0.22, + "grad_norm": 1.957344664137291, + "learning_rate": 1.813673659775966e-05, + "loss": 0.8903, + "step": 9404 + }, + { + "epoch": 0.22, + "grad_norm": 1.8168174977017388, + "learning_rate": 1.813629300157806e-05, + "loss": 0.8918, + "step": 9405 + }, + { + "epoch": 0.22, + "grad_norm": 1.9564770460923084, + "learning_rate": 1.8135849358024392e-05, + "loss": 0.9459, + "step": 9406 + }, + { + "epoch": 0.22, + "grad_norm": 2.565788441910842, + "learning_rate": 1.813540566710123e-05, + "loss": 0.9375, + "step": 9407 + }, + { + "epoch": 0.22, + "grad_norm": 0.8376050265205749, + "learning_rate": 1.8134961928811164e-05, + "loss": 0.7741, + "step": 9408 + }, + { + "epoch": 0.22, + "grad_norm": 1.6903597944784783, + "learning_rate": 1.813451814315677e-05, + "loss": 1.0021, + "step": 9409 + }, + { + "epoch": 0.22, + "grad_norm": 1.6403896139512815, + "learning_rate": 1.8134074310140638e-05, + "loss": 0.9933, + "step": 9410 + }, + { + "epoch": 0.22, + "grad_norm": 1.6075258318979664, + "learning_rate": 1.813363042976535e-05, + "loss": 0.8362, + "step": 9411 + }, + { + "epoch": 0.22, + "grad_norm": 1.86707356860509, + "learning_rate": 1.8133186502033493e-05, + "loss": 1.0599, + "step": 9412 + }, + { + "epoch": 0.22, + "grad_norm": 1.834652932055509, + "learning_rate": 1.8132742526947648e-05, + "loss": 1.0357, + "step": 9413 + }, + { + "epoch": 0.22, + "grad_norm": 1.9516567357575891, + "learning_rate": 1.8132298504510398e-05, + "loss": 1.0538, + "step": 9414 + }, + { + "epoch": 0.22, + "grad_norm": 1.829061135004015, + "learning_rate": 1.8131854434724335e-05, + "loss": 0.9454, + "step": 9415 + }, + { + "epoch": 0.22, + "grad_norm": 1.5490830886070441, + "learning_rate": 1.8131410317592037e-05, + "loss": 0.8541, + "step": 9416 + }, + { + "epoch": 0.22, + "grad_norm": 1.6333875728221552, + "learning_rate": 1.8130966153116096e-05, + "loss": 0.8283, + "step": 9417 + }, + { + "epoch": 0.22, + "grad_norm": 1.6070011330685585, + "learning_rate": 1.81305219412991e-05, + "loss": 0.8004, + "step": 9418 + }, + { + "epoch": 0.22, + "grad_norm": 1.6185034284948308, + "learning_rate": 1.8130077682143627e-05, + "loss": 0.9453, + "step": 9419 + }, + { + "epoch": 0.22, + "grad_norm": 1.8101129123022768, + "learning_rate": 1.812963337565227e-05, + "loss": 0.9323, + "step": 9420 + }, + { + "epoch": 0.22, + "grad_norm": 2.0161804078679624, + "learning_rate": 1.8129189021827608e-05, + "loss": 0.8913, + "step": 9421 + }, + { + "epoch": 0.22, + "grad_norm": 1.7855916805272094, + "learning_rate": 1.8128744620672237e-05, + "loss": 0.8724, + "step": 9422 + }, + { + "epoch": 0.22, + "grad_norm": 1.528595739978762, + "learning_rate": 1.8128300172188744e-05, + "loss": 0.9038, + "step": 9423 + }, + { + "epoch": 0.22, + "grad_norm": 0.808766335942967, + "learning_rate": 1.812785567637971e-05, + "loss": 0.7621, + "step": 9424 + }, + { + "epoch": 0.22, + "grad_norm": 1.9822677110758669, + "learning_rate": 1.812741113324773e-05, + "loss": 0.8802, + "step": 9425 + }, + { + "epoch": 0.22, + "grad_norm": 2.0749287383018875, + "learning_rate": 1.8126966542795387e-05, + "loss": 0.8581, + "step": 9426 + }, + { + "epoch": 0.22, + "grad_norm": 1.892958713198179, + "learning_rate": 1.8126521905025272e-05, + "loss": 0.9014, + "step": 9427 + }, + { + "epoch": 0.22, + "grad_norm": 1.9216804280968072, + "learning_rate": 1.812607721993998e-05, + "loss": 0.8533, + "step": 9428 + }, + { + "epoch": 0.22, + "grad_norm": 1.6946814718237395, + "learning_rate": 1.8125632487542084e-05, + "loss": 0.8372, + "step": 9429 + }, + { + "epoch": 0.22, + "grad_norm": 0.8024372726583263, + "learning_rate": 1.812518770783419e-05, + "loss": 0.7662, + "step": 9430 + }, + { + "epoch": 0.22, + "grad_norm": 1.5044294090230252, + "learning_rate": 1.8124742880818877e-05, + "loss": 0.8536, + "step": 9431 + }, + { + "epoch": 0.22, + "grad_norm": 1.4933519160252546, + "learning_rate": 1.812429800649874e-05, + "loss": 1.0211, + "step": 9432 + }, + { + "epoch": 0.22, + "grad_norm": 2.555972341222278, + "learning_rate": 1.812385308487637e-05, + "loss": 1.0062, + "step": 9433 + }, + { + "epoch": 0.22, + "grad_norm": 1.9169651613702414, + "learning_rate": 1.8123408115954354e-05, + "loss": 0.9631, + "step": 9434 + }, + { + "epoch": 0.22, + "grad_norm": 1.7143705225151573, + "learning_rate": 1.812296309973528e-05, + "loss": 0.8333, + "step": 9435 + }, + { + "epoch": 0.22, + "grad_norm": 1.7184311789497768, + "learning_rate": 1.812251803622175e-05, + "loss": 0.8776, + "step": 9436 + }, + { + "epoch": 0.22, + "grad_norm": 1.4213887205104891, + "learning_rate": 1.8122072925416347e-05, + "loss": 0.8942, + "step": 9437 + }, + { + "epoch": 0.22, + "grad_norm": 1.5695445280066154, + "learning_rate": 1.8121627767321658e-05, + "loss": 0.8153, + "step": 9438 + }, + { + "epoch": 0.22, + "grad_norm": 6.6941316875260615, + "learning_rate": 1.8121182561940288e-05, + "loss": 0.7949, + "step": 9439 + }, + { + "epoch": 0.22, + "grad_norm": 1.4619413748489916, + "learning_rate": 1.8120737309274818e-05, + "loss": 0.9045, + "step": 9440 + }, + { + "epoch": 0.22, + "grad_norm": 1.5662637411860256, + "learning_rate": 1.8120292009327843e-05, + "loss": 0.9281, + "step": 9441 + }, + { + "epoch": 0.22, + "grad_norm": 1.6528117502093767, + "learning_rate": 1.811984666210196e-05, + "loss": 0.8976, + "step": 9442 + }, + { + "epoch": 0.22, + "grad_norm": 1.7983934581945926, + "learning_rate": 1.811940126759976e-05, + "loss": 0.9929, + "step": 9443 + }, + { + "epoch": 0.22, + "grad_norm": 1.685925070524137, + "learning_rate": 1.8118955825823833e-05, + "loss": 0.9615, + "step": 9444 + }, + { + "epoch": 0.22, + "grad_norm": 0.7761512950251629, + "learning_rate": 1.8118510336776776e-05, + "loss": 0.7511, + "step": 9445 + }, + { + "epoch": 0.22, + "grad_norm": 1.6654448982108454, + "learning_rate": 1.8118064800461182e-05, + "loss": 0.9104, + "step": 9446 + }, + { + "epoch": 0.22, + "grad_norm": 1.937163716169845, + "learning_rate": 1.8117619216879645e-05, + "loss": 0.8787, + "step": 9447 + }, + { + "epoch": 0.22, + "grad_norm": 1.470802581485677, + "learning_rate": 1.8117173586034757e-05, + "loss": 0.883, + "step": 9448 + }, + { + "epoch": 0.22, + "grad_norm": 1.7732653658387019, + "learning_rate": 1.8116727907929113e-05, + "loss": 0.8588, + "step": 9449 + }, + { + "epoch": 0.22, + "grad_norm": 1.5565943405386717, + "learning_rate": 1.8116282182565313e-05, + "loss": 0.814, + "step": 9450 + }, + { + "epoch": 0.22, + "grad_norm": 1.7218495962541789, + "learning_rate": 1.8115836409945947e-05, + "loss": 0.9042, + "step": 9451 + }, + { + "epoch": 0.22, + "grad_norm": 1.6041380540210095, + "learning_rate": 1.8115390590073612e-05, + "loss": 0.8777, + "step": 9452 + }, + { + "epoch": 0.22, + "grad_norm": 1.7051462520893337, + "learning_rate": 1.8114944722950903e-05, + "loss": 0.851, + "step": 9453 + }, + { + "epoch": 0.22, + "grad_norm": 1.5895454448299084, + "learning_rate": 1.8114498808580418e-05, + "loss": 0.8636, + "step": 9454 + }, + { + "epoch": 0.22, + "grad_norm": 1.8358283534699429, + "learning_rate": 1.8114052846964753e-05, + "loss": 0.8734, + "step": 9455 + }, + { + "epoch": 0.22, + "grad_norm": 1.86748316667626, + "learning_rate": 1.8113606838106503e-05, + "loss": 0.8543, + "step": 9456 + }, + { + "epoch": 0.22, + "grad_norm": 1.7072237078681334, + "learning_rate": 1.8113160782008263e-05, + "loss": 0.7947, + "step": 9457 + }, + { + "epoch": 0.22, + "grad_norm": 1.4764639010067775, + "learning_rate": 1.8112714678672632e-05, + "loss": 0.9512, + "step": 9458 + }, + { + "epoch": 0.22, + "grad_norm": 1.5709679365376557, + "learning_rate": 1.811226852810221e-05, + "loss": 0.9635, + "step": 9459 + }, + { + "epoch": 0.22, + "grad_norm": 1.8085288443978889, + "learning_rate": 1.811182233029959e-05, + "loss": 1.0135, + "step": 9460 + }, + { + "epoch": 0.22, + "grad_norm": 1.7999392635147737, + "learning_rate": 1.8111376085267376e-05, + "loss": 0.8937, + "step": 9461 + }, + { + "epoch": 0.22, + "grad_norm": 1.659917485689472, + "learning_rate": 1.811092979300816e-05, + "loss": 0.9752, + "step": 9462 + }, + { + "epoch": 0.22, + "grad_norm": 1.7928499273524126, + "learning_rate": 1.8110483453524543e-05, + "loss": 0.8145, + "step": 9463 + }, + { + "epoch": 0.22, + "grad_norm": 1.7788099495056404, + "learning_rate": 1.811003706681912e-05, + "loss": 0.8337, + "step": 9464 + }, + { + "epoch": 0.22, + "grad_norm": 1.5865022642736422, + "learning_rate": 1.81095906328945e-05, + "loss": 0.8733, + "step": 9465 + }, + { + "epoch": 0.22, + "grad_norm": 0.7775059464827395, + "learning_rate": 1.8109144151753274e-05, + "loss": 0.7526, + "step": 9466 + }, + { + "epoch": 0.22, + "grad_norm": 1.7464144260114725, + "learning_rate": 1.810869762339804e-05, + "loss": 0.8574, + "step": 9467 + }, + { + "epoch": 0.22, + "grad_norm": 1.5271392959283185, + "learning_rate": 1.8108251047831405e-05, + "loss": 0.8903, + "step": 9468 + }, + { + "epoch": 0.22, + "grad_norm": 2.000047663488231, + "learning_rate": 1.8107804425055967e-05, + "loss": 0.8566, + "step": 9469 + }, + { + "epoch": 0.22, + "grad_norm": 1.5840848352960555, + "learning_rate": 1.810735775507432e-05, + "loss": 0.9648, + "step": 9470 + }, + { + "epoch": 0.22, + "grad_norm": 2.019571596926389, + "learning_rate": 1.8106911037889072e-05, + "loss": 0.9285, + "step": 9471 + }, + { + "epoch": 0.22, + "grad_norm": 1.5649785339612505, + "learning_rate": 1.810646427350282e-05, + "loss": 0.9873, + "step": 9472 + }, + { + "epoch": 0.22, + "grad_norm": 1.5361136395403145, + "learning_rate": 1.8106017461918165e-05, + "loss": 0.9765, + "step": 9473 + }, + { + "epoch": 0.22, + "grad_norm": 1.9287123578706171, + "learning_rate": 1.8105570603137714e-05, + "loss": 0.9562, + "step": 9474 + }, + { + "epoch": 0.22, + "grad_norm": 2.066719512563691, + "learning_rate": 1.810512369716406e-05, + "loss": 0.9198, + "step": 9475 + }, + { + "epoch": 0.22, + "grad_norm": 1.5414446411772151, + "learning_rate": 1.8104676743999816e-05, + "loss": 0.8201, + "step": 9476 + }, + { + "epoch": 0.22, + "grad_norm": 1.706133348481525, + "learning_rate": 1.8104229743647573e-05, + "loss": 0.8229, + "step": 9477 + }, + { + "epoch": 0.22, + "grad_norm": 1.6092961446856413, + "learning_rate": 1.8103782696109943e-05, + "loss": 0.9377, + "step": 9478 + }, + { + "epoch": 0.22, + "grad_norm": 1.794069405451606, + "learning_rate": 1.8103335601389522e-05, + "loss": 1.0438, + "step": 9479 + }, + { + "epoch": 0.22, + "grad_norm": 0.7913874759161239, + "learning_rate": 1.8102888459488916e-05, + "loss": 0.6768, + "step": 9480 + }, + { + "epoch": 0.22, + "grad_norm": 1.7316597786483459, + "learning_rate": 1.810244127041073e-05, + "loss": 1.0097, + "step": 9481 + }, + { + "epoch": 0.22, + "grad_norm": 1.4821414761443195, + "learning_rate": 1.810199403415756e-05, + "loss": 0.88, + "step": 9482 + }, + { + "epoch": 0.22, + "grad_norm": 1.587188506108511, + "learning_rate": 1.8101546750732022e-05, + "loss": 0.9855, + "step": 9483 + }, + { + "epoch": 0.22, + "grad_norm": 1.7275754127969352, + "learning_rate": 1.810109942013671e-05, + "loss": 0.8509, + "step": 9484 + }, + { + "epoch": 0.22, + "grad_norm": 1.7763373173592523, + "learning_rate": 1.8100652042374232e-05, + "loss": 0.8839, + "step": 9485 + }, + { + "epoch": 0.22, + "grad_norm": 1.9917838452604633, + "learning_rate": 1.8100204617447195e-05, + "loss": 0.8433, + "step": 9486 + }, + { + "epoch": 0.22, + "grad_norm": 1.7705176411570003, + "learning_rate": 1.80997571453582e-05, + "loss": 0.9614, + "step": 9487 + }, + { + "epoch": 0.22, + "grad_norm": 1.7704401509929675, + "learning_rate": 1.8099309626109857e-05, + "loss": 0.9057, + "step": 9488 + }, + { + "epoch": 0.22, + "grad_norm": 1.8680268658594743, + "learning_rate": 1.809886205970477e-05, + "loss": 0.9057, + "step": 9489 + }, + { + "epoch": 0.22, + "grad_norm": 1.6870889713634996, + "learning_rate": 1.8098414446145543e-05, + "loss": 0.9502, + "step": 9490 + }, + { + "epoch": 0.22, + "grad_norm": 1.685736094052493, + "learning_rate": 1.8097966785434786e-05, + "loss": 0.9821, + "step": 9491 + }, + { + "epoch": 0.22, + "grad_norm": 1.7231237797063195, + "learning_rate": 1.8097519077575095e-05, + "loss": 0.9304, + "step": 9492 + }, + { + "epoch": 0.22, + "grad_norm": 1.7310952636136971, + "learning_rate": 1.809707132256909e-05, + "loss": 0.8996, + "step": 9493 + }, + { + "epoch": 0.22, + "grad_norm": 2.193892684768822, + "learning_rate": 1.8096623520419372e-05, + "loss": 0.9124, + "step": 9494 + }, + { + "epoch": 0.22, + "grad_norm": 1.5504793144667945, + "learning_rate": 1.8096175671128547e-05, + "loss": 1.0425, + "step": 9495 + }, + { + "epoch": 0.22, + "grad_norm": 1.9888848653957996, + "learning_rate": 1.8095727774699224e-05, + "loss": 0.9311, + "step": 9496 + }, + { + "epoch": 0.22, + "grad_norm": 1.4689331254995956, + "learning_rate": 1.8095279831134012e-05, + "loss": 0.9972, + "step": 9497 + }, + { + "epoch": 0.22, + "grad_norm": 1.8392614516894124, + "learning_rate": 1.809483184043552e-05, + "loss": 0.8206, + "step": 9498 + }, + { + "epoch": 0.22, + "grad_norm": 1.605217381667774, + "learning_rate": 1.809438380260635e-05, + "loss": 0.8427, + "step": 9499 + }, + { + "epoch": 0.22, + "grad_norm": 0.8542861654008677, + "learning_rate": 1.8093935717649117e-05, + "loss": 0.7518, + "step": 9500 + }, + { + "epoch": 0.22, + "grad_norm": 1.7541054690694171, + "learning_rate": 1.8093487585566426e-05, + "loss": 0.8982, + "step": 9501 + }, + { + "epoch": 0.22, + "grad_norm": 1.6080553470076786, + "learning_rate": 1.809303940636089e-05, + "loss": 0.9826, + "step": 9502 + }, + { + "epoch": 0.22, + "grad_norm": 1.4576154326672797, + "learning_rate": 1.8092591180035114e-05, + "loss": 0.966, + "step": 9503 + }, + { + "epoch": 0.22, + "grad_norm": 0.765813022762524, + "learning_rate": 1.809214290659171e-05, + "loss": 0.7582, + "step": 9504 + }, + { + "epoch": 0.22, + "grad_norm": 1.7119644502602909, + "learning_rate": 1.809169458603329e-05, + "loss": 0.8708, + "step": 9505 + }, + { + "epoch": 0.22, + "grad_norm": 1.7627419532769864, + "learning_rate": 1.8091246218362464e-05, + "loss": 0.9133, + "step": 9506 + }, + { + "epoch": 0.22, + "grad_norm": 1.6476549493704615, + "learning_rate": 1.809079780358184e-05, + "loss": 0.8832, + "step": 9507 + }, + { + "epoch": 0.22, + "grad_norm": 1.7965948528032223, + "learning_rate": 1.809034934169403e-05, + "loss": 0.7771, + "step": 9508 + }, + { + "epoch": 0.22, + "grad_norm": 1.7806259845014034, + "learning_rate": 1.808990083270164e-05, + "loss": 0.9153, + "step": 9509 + }, + { + "epoch": 0.22, + "grad_norm": 1.45260257738928, + "learning_rate": 1.808945227660729e-05, + "loss": 0.7112, + "step": 9510 + }, + { + "epoch": 0.22, + "grad_norm": 1.8577876175911738, + "learning_rate": 1.808900367341359e-05, + "loss": 0.9988, + "step": 9511 + }, + { + "epoch": 0.22, + "grad_norm": 1.6170248243717131, + "learning_rate": 1.8088555023123144e-05, + "loss": 0.8942, + "step": 9512 + }, + { + "epoch": 0.22, + "grad_norm": 1.5031086890307552, + "learning_rate": 1.8088106325738572e-05, + "loss": 0.8262, + "step": 9513 + }, + { + "epoch": 0.22, + "grad_norm": 1.7476127269357982, + "learning_rate": 1.8087657581262488e-05, + "loss": 0.6813, + "step": 9514 + }, + { + "epoch": 0.22, + "grad_norm": 1.6168838400313634, + "learning_rate": 1.8087208789697498e-05, + "loss": 0.9844, + "step": 9515 + }, + { + "epoch": 0.22, + "grad_norm": 1.8252768064308067, + "learning_rate": 1.8086759951046217e-05, + "loss": 0.9171, + "step": 9516 + }, + { + "epoch": 0.22, + "grad_norm": 1.7595991740681893, + "learning_rate": 1.8086311065311258e-05, + "loss": 0.7634, + "step": 9517 + }, + { + "epoch": 0.22, + "grad_norm": 1.980757343862393, + "learning_rate": 1.808586213249524e-05, + "loss": 0.9803, + "step": 9518 + }, + { + "epoch": 0.22, + "grad_norm": 1.6304534559704678, + "learning_rate": 1.808541315260077e-05, + "loss": 0.9537, + "step": 9519 + }, + { + "epoch": 0.22, + "grad_norm": 1.8294644882311117, + "learning_rate": 1.808496412563047e-05, + "loss": 0.735, + "step": 9520 + }, + { + "epoch": 0.22, + "grad_norm": 1.6413704478186582, + "learning_rate": 1.8084515051586943e-05, + "loss": 0.9262, + "step": 9521 + }, + { + "epoch": 0.22, + "grad_norm": 1.5744755314910888, + "learning_rate": 1.808406593047281e-05, + "loss": 0.9647, + "step": 9522 + }, + { + "epoch": 0.22, + "grad_norm": 1.5933628130576658, + "learning_rate": 1.808361676229069e-05, + "loss": 0.924, + "step": 9523 + }, + { + "epoch": 0.22, + "grad_norm": 2.106166900618155, + "learning_rate": 1.808316754704319e-05, + "loss": 0.8717, + "step": 9524 + }, + { + "epoch": 0.22, + "grad_norm": 1.8208136331904372, + "learning_rate": 1.8082718284732932e-05, + "loss": 0.9882, + "step": 9525 + }, + { + "epoch": 0.22, + "grad_norm": 0.8849962492272396, + "learning_rate": 1.808226897536253e-05, + "loss": 0.7721, + "step": 9526 + }, + { + "epoch": 0.22, + "grad_norm": 1.7201509640478652, + "learning_rate": 1.8081819618934597e-05, + "loss": 0.9321, + "step": 9527 + }, + { + "epoch": 0.22, + "grad_norm": 1.7425427920839507, + "learning_rate": 1.8081370215451752e-05, + "loss": 0.9739, + "step": 9528 + }, + { + "epoch": 0.22, + "grad_norm": 2.426250068606066, + "learning_rate": 1.8080920764916613e-05, + "loss": 0.9371, + "step": 9529 + }, + { + "epoch": 0.22, + "grad_norm": 1.7671471630541304, + "learning_rate": 1.8080471267331792e-05, + "loss": 0.9119, + "step": 9530 + }, + { + "epoch": 0.22, + "grad_norm": 1.5375742234773093, + "learning_rate": 1.808002172269991e-05, + "loss": 0.9493, + "step": 9531 + }, + { + "epoch": 0.22, + "grad_norm": 1.7717470141917349, + "learning_rate": 1.8079572131023585e-05, + "loss": 0.99, + "step": 9532 + }, + { + "epoch": 0.22, + "grad_norm": 2.6564138515771996, + "learning_rate": 1.807912249230543e-05, + "loss": 0.925, + "step": 9533 + }, + { + "epoch": 0.22, + "grad_norm": 1.5075959541328143, + "learning_rate": 1.807867280654807e-05, + "loss": 1.0099, + "step": 9534 + }, + { + "epoch": 0.22, + "grad_norm": 1.5101436816962683, + "learning_rate": 1.807822307375412e-05, + "loss": 0.957, + "step": 9535 + }, + { + "epoch": 0.22, + "grad_norm": 1.697873289384662, + "learning_rate": 1.807777329392619e-05, + "loss": 0.8516, + "step": 9536 + }, + { + "epoch": 0.22, + "grad_norm": 1.7492543579894424, + "learning_rate": 1.8077323467066913e-05, + "loss": 1.005, + "step": 9537 + }, + { + "epoch": 0.22, + "grad_norm": 1.7736051230193142, + "learning_rate": 1.80768735931789e-05, + "loss": 0.8262, + "step": 9538 + }, + { + "epoch": 0.22, + "grad_norm": 2.2668566466269153, + "learning_rate": 1.807642367226477e-05, + "loss": 0.878, + "step": 9539 + }, + { + "epoch": 0.22, + "grad_norm": 1.5650047676988854, + "learning_rate": 1.8075973704327148e-05, + "loss": 0.9792, + "step": 9540 + }, + { + "epoch": 0.22, + "grad_norm": 1.613295508435998, + "learning_rate": 1.8075523689368646e-05, + "loss": 0.9199, + "step": 9541 + }, + { + "epoch": 0.22, + "grad_norm": 1.622318850390041, + "learning_rate": 1.8075073627391892e-05, + "loss": 0.8714, + "step": 9542 + }, + { + "epoch": 0.22, + "grad_norm": 2.1416890524222016, + "learning_rate": 1.8074623518399503e-05, + "loss": 0.9244, + "step": 9543 + }, + { + "epoch": 0.22, + "grad_norm": 1.5772047334882293, + "learning_rate": 1.8074173362394095e-05, + "loss": 0.8941, + "step": 9544 + }, + { + "epoch": 0.22, + "grad_norm": 1.7423987591289223, + "learning_rate": 1.8073723159378298e-05, + "loss": 0.9916, + "step": 9545 + }, + { + "epoch": 0.22, + "grad_norm": 1.7216447842146618, + "learning_rate": 1.8073272909354727e-05, + "loss": 0.8516, + "step": 9546 + }, + { + "epoch": 0.22, + "grad_norm": 1.849066835713059, + "learning_rate": 1.8072822612326007e-05, + "loss": 0.9171, + "step": 9547 + }, + { + "epoch": 0.22, + "grad_norm": 1.6895940624694241, + "learning_rate": 1.8072372268294755e-05, + "loss": 0.9909, + "step": 9548 + }, + { + "epoch": 0.22, + "grad_norm": 0.7988335949825908, + "learning_rate": 1.8071921877263597e-05, + "loss": 0.7221, + "step": 9549 + }, + { + "epoch": 0.22, + "grad_norm": 1.6299700879697245, + "learning_rate": 1.8071471439235154e-05, + "loss": 0.9943, + "step": 9550 + }, + { + "epoch": 0.23, + "grad_norm": 1.4081611420782394, + "learning_rate": 1.807102095421205e-05, + "loss": 0.8932, + "step": 9551 + }, + { + "epoch": 0.23, + "grad_norm": 0.8481159120962384, + "learning_rate": 1.807057042219691e-05, + "loss": 0.6981, + "step": 9552 + }, + { + "epoch": 0.23, + "grad_norm": 1.6824331390818295, + "learning_rate": 1.8070119843192348e-05, + "loss": 0.9558, + "step": 9553 + }, + { + "epoch": 0.23, + "grad_norm": 1.6910896868471563, + "learning_rate": 1.8069669217200995e-05, + "loss": 0.9142, + "step": 9554 + }, + { + "epoch": 0.23, + "grad_norm": 1.5846774427387331, + "learning_rate": 1.8069218544225474e-05, + "loss": 1.0254, + "step": 9555 + }, + { + "epoch": 0.23, + "grad_norm": 1.6949036098652384, + "learning_rate": 1.8068767824268407e-05, + "loss": 0.863, + "step": 9556 + }, + { + "epoch": 0.23, + "grad_norm": 2.3212514416340575, + "learning_rate": 1.8068317057332422e-05, + "loss": 0.934, + "step": 9557 + }, + { + "epoch": 0.23, + "grad_norm": 1.6637633456610965, + "learning_rate": 1.8067866243420136e-05, + "loss": 0.8645, + "step": 9558 + }, + { + "epoch": 0.23, + "grad_norm": 2.504869140853529, + "learning_rate": 1.806741538253418e-05, + "loss": 1.0028, + "step": 9559 + }, + { + "epoch": 0.23, + "grad_norm": 1.4399539573286715, + "learning_rate": 1.806696447467718e-05, + "loss": 0.998, + "step": 9560 + }, + { + "epoch": 0.23, + "grad_norm": 0.7507927381701075, + "learning_rate": 1.806651351985176e-05, + "loss": 0.7892, + "step": 9561 + }, + { + "epoch": 0.23, + "grad_norm": 1.7004475967173884, + "learning_rate": 1.806606251806054e-05, + "loss": 0.9526, + "step": 9562 + }, + { + "epoch": 0.23, + "grad_norm": 1.4783758499497108, + "learning_rate": 1.8065611469306152e-05, + "loss": 0.8871, + "step": 9563 + }, + { + "epoch": 0.23, + "grad_norm": 1.9252648561191053, + "learning_rate": 1.806516037359122e-05, + "loss": 0.927, + "step": 9564 + }, + { + "epoch": 0.23, + "grad_norm": 1.5398217369083613, + "learning_rate": 1.806470923091837e-05, + "loss": 0.9689, + "step": 9565 + }, + { + "epoch": 0.23, + "grad_norm": 1.6604707466639297, + "learning_rate": 1.806425804129023e-05, + "loss": 0.9045, + "step": 9566 + }, + { + "epoch": 0.23, + "grad_norm": 1.9373978412695696, + "learning_rate": 1.8063806804709433e-05, + "loss": 0.9842, + "step": 9567 + }, + { + "epoch": 0.23, + "grad_norm": 1.4923424894801467, + "learning_rate": 1.8063355521178594e-05, + "loss": 0.8981, + "step": 9568 + }, + { + "epoch": 0.23, + "grad_norm": 1.8477980481514917, + "learning_rate": 1.8062904190700344e-05, + "loss": 0.878, + "step": 9569 + }, + { + "epoch": 0.23, + "grad_norm": 1.4919328952362103, + "learning_rate": 1.8062452813277316e-05, + "loss": 0.7809, + "step": 9570 + }, + { + "epoch": 0.23, + "grad_norm": 0.7919023753507275, + "learning_rate": 1.8062001388912135e-05, + "loss": 0.7566, + "step": 9571 + }, + { + "epoch": 0.23, + "grad_norm": 2.817224696629718, + "learning_rate": 1.806154991760743e-05, + "loss": 0.9588, + "step": 9572 + }, + { + "epoch": 0.23, + "grad_norm": 1.740225682400123, + "learning_rate": 1.806109839936583e-05, + "loss": 0.8229, + "step": 9573 + }, + { + "epoch": 0.23, + "grad_norm": 1.8478133830096641, + "learning_rate": 1.806064683418996e-05, + "loss": 0.831, + "step": 9574 + }, + { + "epoch": 0.23, + "grad_norm": 1.6903611373940928, + "learning_rate": 1.8060195222082457e-05, + "loss": 0.9795, + "step": 9575 + }, + { + "epoch": 0.23, + "grad_norm": 2.332021672152894, + "learning_rate": 1.805974356304594e-05, + "loss": 0.9119, + "step": 9576 + }, + { + "epoch": 0.23, + "grad_norm": 1.6181383282687665, + "learning_rate": 1.8059291857083048e-05, + "loss": 0.9931, + "step": 9577 + }, + { + "epoch": 0.23, + "grad_norm": 1.8910471114880076, + "learning_rate": 1.8058840104196406e-05, + "loss": 0.9382, + "step": 9578 + }, + { + "epoch": 0.23, + "grad_norm": 1.9232195371288614, + "learning_rate": 1.8058388304388646e-05, + "loss": 0.9604, + "step": 9579 + }, + { + "epoch": 0.23, + "grad_norm": 1.6894286880903304, + "learning_rate": 1.80579364576624e-05, + "loss": 0.8989, + "step": 9580 + }, + { + "epoch": 0.23, + "grad_norm": 2.224428858358421, + "learning_rate": 1.8057484564020294e-05, + "loss": 0.8793, + "step": 9581 + }, + { + "epoch": 0.23, + "grad_norm": 1.606106947422406, + "learning_rate": 1.805703262346496e-05, + "loss": 0.8232, + "step": 9582 + }, + { + "epoch": 0.23, + "grad_norm": 1.8559015636026246, + "learning_rate": 1.8056580635999033e-05, + "loss": 0.8525, + "step": 9583 + }, + { + "epoch": 0.23, + "grad_norm": 1.5566421690175465, + "learning_rate": 1.8056128601625146e-05, + "loss": 0.88, + "step": 9584 + }, + { + "epoch": 0.23, + "grad_norm": 1.5096826662022067, + "learning_rate": 1.8055676520345928e-05, + "loss": 0.8371, + "step": 9585 + }, + { + "epoch": 0.23, + "grad_norm": 1.8506215219800561, + "learning_rate": 1.8055224392164005e-05, + "loss": 0.9243, + "step": 9586 + }, + { + "epoch": 0.23, + "grad_norm": 1.6475395631598335, + "learning_rate": 1.805477221708202e-05, + "loss": 0.9097, + "step": 9587 + }, + { + "epoch": 0.23, + "grad_norm": 1.6618293934800659, + "learning_rate": 1.80543199951026e-05, + "loss": 1.056, + "step": 9588 + }, + { + "epoch": 0.23, + "grad_norm": 1.8635692703091615, + "learning_rate": 1.8053867726228376e-05, + "loss": 0.9522, + "step": 9589 + }, + { + "epoch": 0.23, + "grad_norm": 2.0797460841167097, + "learning_rate": 1.8053415410461988e-05, + "loss": 0.9989, + "step": 9590 + }, + { + "epoch": 0.23, + "grad_norm": 1.6390658879324624, + "learning_rate": 1.8052963047806065e-05, + "loss": 0.9152, + "step": 9591 + }, + { + "epoch": 0.23, + "grad_norm": 1.5701700180848628, + "learning_rate": 1.8052510638263244e-05, + "loss": 0.9294, + "step": 9592 + }, + { + "epoch": 0.23, + "grad_norm": 1.7880304362505548, + "learning_rate": 1.8052058181836152e-05, + "loss": 0.7982, + "step": 9593 + }, + { + "epoch": 0.23, + "grad_norm": 1.7116917030640517, + "learning_rate": 1.805160567852743e-05, + "loss": 0.9531, + "step": 9594 + }, + { + "epoch": 0.23, + "grad_norm": 1.7257459206722767, + "learning_rate": 1.805115312833971e-05, + "loss": 0.8756, + "step": 9595 + }, + { + "epoch": 0.23, + "grad_norm": 1.7833895864076181, + "learning_rate": 1.8050700531275632e-05, + "loss": 0.8688, + "step": 9596 + }, + { + "epoch": 0.23, + "grad_norm": 2.09842911856607, + "learning_rate": 1.8050247887337825e-05, + "loss": 0.8058, + "step": 9597 + }, + { + "epoch": 0.23, + "grad_norm": 1.4310439235122798, + "learning_rate": 1.8049795196528924e-05, + "loss": 0.8411, + "step": 9598 + }, + { + "epoch": 0.23, + "grad_norm": 1.7755108714790984, + "learning_rate": 1.8049342458851563e-05, + "loss": 0.9752, + "step": 9599 + }, + { + "epoch": 0.23, + "grad_norm": 1.5894605738265661, + "learning_rate": 1.8048889674308387e-05, + "loss": 0.8719, + "step": 9600 + }, + { + "epoch": 0.23, + "grad_norm": 1.7639179428710443, + "learning_rate": 1.8048436842902025e-05, + "loss": 0.8348, + "step": 9601 + }, + { + "epoch": 0.23, + "grad_norm": 1.7114336851987746, + "learning_rate": 1.8047983964635118e-05, + "loss": 0.8848, + "step": 9602 + }, + { + "epoch": 0.23, + "grad_norm": 2.1301229550261263, + "learning_rate": 1.80475310395103e-05, + "loss": 0.8577, + "step": 9603 + }, + { + "epoch": 0.23, + "grad_norm": 6.995062294527225, + "learning_rate": 1.8047078067530205e-05, + "loss": 0.9651, + "step": 9604 + }, + { + "epoch": 0.23, + "grad_norm": 1.7272467635150677, + "learning_rate": 1.804662504869748e-05, + "loss": 0.8589, + "step": 9605 + }, + { + "epoch": 0.23, + "grad_norm": 1.5513926977735575, + "learning_rate": 1.804617198301475e-05, + "loss": 0.8742, + "step": 9606 + }, + { + "epoch": 0.23, + "grad_norm": 1.9069559567407028, + "learning_rate": 1.8045718870484662e-05, + "loss": 0.9225, + "step": 9607 + }, + { + "epoch": 0.23, + "grad_norm": 1.9165807531828352, + "learning_rate": 1.804526571110985e-05, + "loss": 0.9124, + "step": 9608 + }, + { + "epoch": 0.23, + "grad_norm": 2.14785121009652, + "learning_rate": 1.8044812504892958e-05, + "loss": 0.7856, + "step": 9609 + }, + { + "epoch": 0.23, + "grad_norm": 1.9582587253928805, + "learning_rate": 1.8044359251836615e-05, + "loss": 0.8205, + "step": 9610 + }, + { + "epoch": 0.23, + "grad_norm": 1.4530817699667435, + "learning_rate": 1.8043905951943472e-05, + "loss": 0.8684, + "step": 9611 + }, + { + "epoch": 0.23, + "grad_norm": 1.8350328120773174, + "learning_rate": 1.8043452605216157e-05, + "loss": 0.9212, + "step": 9612 + }, + { + "epoch": 0.23, + "grad_norm": 1.6216006649440562, + "learning_rate": 1.804299921165732e-05, + "loss": 1.0037, + "step": 9613 + }, + { + "epoch": 0.23, + "grad_norm": 1.7442952973677872, + "learning_rate": 1.804254577126959e-05, + "loss": 0.8828, + "step": 9614 + }, + { + "epoch": 0.23, + "grad_norm": 1.9021026334725069, + "learning_rate": 1.8042092284055615e-05, + "loss": 0.8813, + "step": 9615 + }, + { + "epoch": 0.23, + "grad_norm": 1.6119115380351237, + "learning_rate": 1.804163875001803e-05, + "loss": 0.9652, + "step": 9616 + }, + { + "epoch": 0.23, + "grad_norm": 0.861296582718943, + "learning_rate": 1.8041185169159478e-05, + "loss": 0.7066, + "step": 9617 + }, + { + "epoch": 0.23, + "grad_norm": 1.8178082221861849, + "learning_rate": 1.8040731541482603e-05, + "loss": 0.8783, + "step": 9618 + }, + { + "epoch": 0.23, + "grad_norm": 1.8300234323092754, + "learning_rate": 1.804027786699004e-05, + "loss": 0.9714, + "step": 9619 + }, + { + "epoch": 0.23, + "grad_norm": 1.6362468650144915, + "learning_rate": 1.8039824145684438e-05, + "loss": 0.9463, + "step": 9620 + }, + { + "epoch": 0.23, + "grad_norm": 1.7954870571090744, + "learning_rate": 1.803937037756843e-05, + "loss": 0.7583, + "step": 9621 + }, + { + "epoch": 0.23, + "grad_norm": 1.6030041528910133, + "learning_rate": 1.8038916562644666e-05, + "loss": 0.9395, + "step": 9622 + }, + { + "epoch": 0.23, + "grad_norm": 1.7261974514981, + "learning_rate": 1.8038462700915782e-05, + "loss": 0.9172, + "step": 9623 + }, + { + "epoch": 0.23, + "grad_norm": 0.7696525141509852, + "learning_rate": 1.8038008792384426e-05, + "loss": 0.7577, + "step": 9624 + }, + { + "epoch": 0.23, + "grad_norm": 1.6561346924174793, + "learning_rate": 1.8037554837053238e-05, + "loss": 0.8487, + "step": 9625 + }, + { + "epoch": 0.23, + "grad_norm": 1.6353254196169587, + "learning_rate": 1.803710083492486e-05, + "loss": 0.9548, + "step": 9626 + }, + { + "epoch": 0.23, + "grad_norm": 1.8555168891766778, + "learning_rate": 1.8036646786001935e-05, + "loss": 0.9052, + "step": 9627 + }, + { + "epoch": 0.23, + "grad_norm": 1.8140338137890684, + "learning_rate": 1.803619269028711e-05, + "loss": 0.9129, + "step": 9628 + }, + { + "epoch": 0.23, + "grad_norm": 1.3841746558554726, + "learning_rate": 1.8035738547783025e-05, + "loss": 0.8768, + "step": 9629 + }, + { + "epoch": 0.23, + "grad_norm": 1.8320167116831745, + "learning_rate": 1.803528435849233e-05, + "loss": 0.8909, + "step": 9630 + }, + { + "epoch": 0.23, + "grad_norm": 1.6374017197485813, + "learning_rate": 1.8034830122417658e-05, + "loss": 0.7883, + "step": 9631 + }, + { + "epoch": 0.23, + "grad_norm": 1.6841960257423478, + "learning_rate": 1.803437583956167e-05, + "loss": 0.8233, + "step": 9632 + }, + { + "epoch": 0.23, + "grad_norm": 1.6882803477251398, + "learning_rate": 1.8033921509926998e-05, + "loss": 0.9123, + "step": 9633 + }, + { + "epoch": 0.23, + "grad_norm": 0.7903480605918917, + "learning_rate": 1.8033467133516288e-05, + "loss": 0.7788, + "step": 9634 + }, + { + "epoch": 0.23, + "grad_norm": 1.866886331754283, + "learning_rate": 1.8033012710332195e-05, + "loss": 0.8472, + "step": 9635 + }, + { + "epoch": 0.23, + "grad_norm": 1.5453463061718495, + "learning_rate": 1.8032558240377355e-05, + "loss": 0.8346, + "step": 9636 + }, + { + "epoch": 0.23, + "grad_norm": 1.594078481093178, + "learning_rate": 1.803210372365442e-05, + "loss": 0.8761, + "step": 9637 + }, + { + "epoch": 0.23, + "grad_norm": 1.9846276369193372, + "learning_rate": 1.8031649160166035e-05, + "loss": 1.0367, + "step": 9638 + }, + { + "epoch": 0.23, + "grad_norm": 2.01884625683406, + "learning_rate": 1.8031194549914845e-05, + "loss": 0.81, + "step": 9639 + }, + { + "epoch": 0.23, + "grad_norm": 1.8418689522919611, + "learning_rate": 1.8030739892903498e-05, + "loss": 0.9845, + "step": 9640 + }, + { + "epoch": 0.23, + "grad_norm": 1.5026261514302783, + "learning_rate": 1.803028518913464e-05, + "loss": 0.8416, + "step": 9641 + }, + { + "epoch": 0.23, + "grad_norm": 1.6940239444713006, + "learning_rate": 1.8029830438610916e-05, + "loss": 0.859, + "step": 9642 + }, + { + "epoch": 0.23, + "grad_norm": 2.0013203894360125, + "learning_rate": 1.802937564133498e-05, + "loss": 0.9874, + "step": 9643 + }, + { + "epoch": 0.23, + "grad_norm": 2.0574485619923877, + "learning_rate": 1.8028920797309478e-05, + "loss": 0.8417, + "step": 9644 + }, + { + "epoch": 0.23, + "grad_norm": 2.3229915529602336, + "learning_rate": 1.8028465906537055e-05, + "loss": 0.876, + "step": 9645 + }, + { + "epoch": 0.23, + "grad_norm": 1.5426986117963752, + "learning_rate": 1.8028010969020364e-05, + "loss": 0.8614, + "step": 9646 + }, + { + "epoch": 0.23, + "grad_norm": 2.554688255151548, + "learning_rate": 1.802755598476205e-05, + "loss": 0.7504, + "step": 9647 + }, + { + "epoch": 0.23, + "grad_norm": 1.6130443558292717, + "learning_rate": 1.8027100953764766e-05, + "loss": 0.9566, + "step": 9648 + }, + { + "epoch": 0.23, + "grad_norm": 2.371235515630516, + "learning_rate": 1.802664587603116e-05, + "loss": 0.9766, + "step": 9649 + }, + { + "epoch": 0.23, + "grad_norm": 1.6755215113322477, + "learning_rate": 1.8026190751563874e-05, + "loss": 0.8054, + "step": 9650 + }, + { + "epoch": 0.23, + "grad_norm": 2.111535238238948, + "learning_rate": 1.8025735580365568e-05, + "loss": 0.8827, + "step": 9651 + }, + { + "epoch": 0.23, + "grad_norm": 1.8197073552058505, + "learning_rate": 1.802528036243889e-05, + "loss": 0.8909, + "step": 9652 + }, + { + "epoch": 0.23, + "grad_norm": 0.7405405635043942, + "learning_rate": 1.8024825097786487e-05, + "loss": 0.7209, + "step": 9653 + }, + { + "epoch": 0.23, + "grad_norm": 1.5692737883570942, + "learning_rate": 1.802436978641101e-05, + "loss": 0.8729, + "step": 9654 + }, + { + "epoch": 0.23, + "grad_norm": 1.528854304213289, + "learning_rate": 1.8023914428315115e-05, + "loss": 0.9327, + "step": 9655 + }, + { + "epoch": 0.23, + "grad_norm": 2.0233020063533242, + "learning_rate": 1.802345902350145e-05, + "loss": 0.8056, + "step": 9656 + }, + { + "epoch": 0.23, + "grad_norm": 2.0974047108374183, + "learning_rate": 1.8023003571972664e-05, + "loss": 0.9163, + "step": 9657 + }, + { + "epoch": 0.23, + "grad_norm": 1.933302109482013, + "learning_rate": 1.8022548073731413e-05, + "loss": 0.8131, + "step": 9658 + }, + { + "epoch": 0.23, + "grad_norm": 1.9532799264139749, + "learning_rate": 1.8022092528780348e-05, + "loss": 0.8765, + "step": 9659 + }, + { + "epoch": 0.23, + "grad_norm": 1.9448543672878993, + "learning_rate": 1.8021636937122117e-05, + "loss": 0.9503, + "step": 9660 + }, + { + "epoch": 0.23, + "grad_norm": 1.5398333054458493, + "learning_rate": 1.8021181298759377e-05, + "loss": 0.9679, + "step": 9661 + }, + { + "epoch": 0.23, + "grad_norm": 0.8529291537762038, + "learning_rate": 1.802072561369478e-05, + "loss": 0.8418, + "step": 9662 + }, + { + "epoch": 0.23, + "grad_norm": 1.858255340188077, + "learning_rate": 1.8020269881930982e-05, + "loss": 0.8986, + "step": 9663 + }, + { + "epoch": 0.23, + "grad_norm": 1.4837473253190587, + "learning_rate": 1.8019814103470633e-05, + "loss": 0.9515, + "step": 9664 + }, + { + "epoch": 0.23, + "grad_norm": 0.8369340141345784, + "learning_rate": 1.8019358278316386e-05, + "loss": 0.7865, + "step": 9665 + }, + { + "epoch": 0.23, + "grad_norm": 1.7839723001707157, + "learning_rate": 1.8018902406470894e-05, + "loss": 1.0294, + "step": 9666 + }, + { + "epoch": 0.23, + "grad_norm": 1.5622410363495471, + "learning_rate": 1.8018446487936815e-05, + "loss": 0.8402, + "step": 9667 + }, + { + "epoch": 0.23, + "grad_norm": 1.744716495437285, + "learning_rate": 1.8017990522716804e-05, + "loss": 0.8727, + "step": 9668 + }, + { + "epoch": 0.23, + "grad_norm": 1.5323602788501303, + "learning_rate": 1.8017534510813513e-05, + "loss": 0.8167, + "step": 9669 + }, + { + "epoch": 0.23, + "grad_norm": 1.907226953378858, + "learning_rate": 1.8017078452229597e-05, + "loss": 0.9327, + "step": 9670 + }, + { + "epoch": 0.23, + "grad_norm": 1.5318591655108307, + "learning_rate": 1.8016622346967714e-05, + "loss": 0.9806, + "step": 9671 + }, + { + "epoch": 0.23, + "grad_norm": 0.777988253460645, + "learning_rate": 1.8016166195030514e-05, + "loss": 0.741, + "step": 9672 + }, + { + "epoch": 0.23, + "grad_norm": 0.7603639703373187, + "learning_rate": 1.801570999642066e-05, + "loss": 0.7014, + "step": 9673 + }, + { + "epoch": 0.23, + "grad_norm": 1.6980510471664378, + "learning_rate": 1.8015253751140803e-05, + "loss": 0.9496, + "step": 9674 + }, + { + "epoch": 0.23, + "grad_norm": 1.7816789756832632, + "learning_rate": 1.80147974591936e-05, + "loss": 0.8798, + "step": 9675 + }, + { + "epoch": 0.23, + "grad_norm": 2.2321970070035406, + "learning_rate": 1.801434112058171e-05, + "loss": 1.0975, + "step": 9676 + }, + { + "epoch": 0.23, + "grad_norm": 1.570056421847422, + "learning_rate": 1.801388473530779e-05, + "loss": 0.8665, + "step": 9677 + }, + { + "epoch": 0.23, + "grad_norm": 1.8239489140473062, + "learning_rate": 1.8013428303374495e-05, + "loss": 1.0187, + "step": 9678 + }, + { + "epoch": 0.23, + "grad_norm": 0.7943189295296986, + "learning_rate": 1.801297182478448e-05, + "loss": 0.7365, + "step": 9679 + }, + { + "epoch": 0.23, + "grad_norm": 1.6650672347728237, + "learning_rate": 1.8012515299540413e-05, + "loss": 0.9862, + "step": 9680 + }, + { + "epoch": 0.23, + "grad_norm": 1.5229622656138602, + "learning_rate": 1.8012058727644943e-05, + "loss": 0.9222, + "step": 9681 + }, + { + "epoch": 0.23, + "grad_norm": 1.9041524698604508, + "learning_rate": 1.8011602109100724e-05, + "loss": 0.8646, + "step": 9682 + }, + { + "epoch": 0.23, + "grad_norm": 1.715183943709363, + "learning_rate": 1.8011145443910426e-05, + "loss": 0.9467, + "step": 9683 + }, + { + "epoch": 0.23, + "grad_norm": 1.9025636372310817, + "learning_rate": 1.8010688732076706e-05, + "loss": 0.8137, + "step": 9684 + }, + { + "epoch": 0.23, + "grad_norm": 1.859820373360182, + "learning_rate": 1.8010231973602218e-05, + "loss": 0.851, + "step": 9685 + }, + { + "epoch": 0.23, + "grad_norm": 1.6353346292360418, + "learning_rate": 1.8009775168489622e-05, + "loss": 0.903, + "step": 9686 + }, + { + "epoch": 0.23, + "grad_norm": 2.570036828907694, + "learning_rate": 1.8009318316741577e-05, + "loss": 0.9273, + "step": 9687 + }, + { + "epoch": 0.23, + "grad_norm": 2.0545309435409442, + "learning_rate": 1.8008861418360746e-05, + "loss": 0.8158, + "step": 9688 + }, + { + "epoch": 0.23, + "grad_norm": 1.7358270672671332, + "learning_rate": 1.8008404473349793e-05, + "loss": 0.9416, + "step": 9689 + }, + { + "epoch": 0.23, + "grad_norm": 0.7832243480164327, + "learning_rate": 1.800794748171137e-05, + "loss": 0.8001, + "step": 9690 + }, + { + "epoch": 0.23, + "grad_norm": 1.559008085370411, + "learning_rate": 1.8007490443448144e-05, + "loss": 0.9345, + "step": 9691 + }, + { + "epoch": 0.23, + "grad_norm": 1.9315960232153182, + "learning_rate": 1.800703335856277e-05, + "loss": 0.908, + "step": 9692 + }, + { + "epoch": 0.23, + "grad_norm": 1.5828085951194144, + "learning_rate": 1.8006576227057914e-05, + "loss": 0.9531, + "step": 9693 + }, + { + "epoch": 0.23, + "grad_norm": 1.50728881974015, + "learning_rate": 1.8006119048936236e-05, + "loss": 0.977, + "step": 9694 + }, + { + "epoch": 0.23, + "grad_norm": 1.862931683966974, + "learning_rate": 1.80056618242004e-05, + "loss": 0.9061, + "step": 9695 + }, + { + "epoch": 0.23, + "grad_norm": 1.6573529922651105, + "learning_rate": 1.8005204552853068e-05, + "loss": 1.0141, + "step": 9696 + }, + { + "epoch": 0.23, + "grad_norm": 1.5111642863089931, + "learning_rate": 1.8004747234896896e-05, + "loss": 0.9492, + "step": 9697 + }, + { + "epoch": 0.23, + "grad_norm": 1.5621879430121153, + "learning_rate": 1.8004289870334552e-05, + "loss": 0.8849, + "step": 9698 + }, + { + "epoch": 0.23, + "grad_norm": 1.7519539640664108, + "learning_rate": 1.8003832459168703e-05, + "loss": 0.9236, + "step": 9699 + }, + { + "epoch": 0.23, + "grad_norm": 2.0018022657605465, + "learning_rate": 1.8003375001402005e-05, + "loss": 0.9908, + "step": 9700 + }, + { + "epoch": 0.23, + "grad_norm": 1.8261013446092944, + "learning_rate": 1.800291749703712e-05, + "loss": 0.9136, + "step": 9701 + }, + { + "epoch": 0.23, + "grad_norm": 1.6472330115554763, + "learning_rate": 1.8002459946076717e-05, + "loss": 0.7501, + "step": 9702 + }, + { + "epoch": 0.23, + "grad_norm": 1.7674090115514705, + "learning_rate": 1.8002002348523463e-05, + "loss": 0.8851, + "step": 9703 + }, + { + "epoch": 0.23, + "grad_norm": 1.6101162987580753, + "learning_rate": 1.8001544704380013e-05, + "loss": 0.9629, + "step": 9704 + }, + { + "epoch": 0.23, + "grad_norm": 1.798814251204998, + "learning_rate": 1.800108701364904e-05, + "loss": 0.8958, + "step": 9705 + }, + { + "epoch": 0.23, + "grad_norm": 1.77977547633125, + "learning_rate": 1.8000629276333204e-05, + "loss": 0.9817, + "step": 9706 + }, + { + "epoch": 0.23, + "grad_norm": 1.9966379048592664, + "learning_rate": 1.8000171492435172e-05, + "loss": 0.9275, + "step": 9707 + }, + { + "epoch": 0.23, + "grad_norm": 1.6252928688628836, + "learning_rate": 1.799971366195761e-05, + "loss": 0.9584, + "step": 9708 + }, + { + "epoch": 0.23, + "grad_norm": 1.6278162500090336, + "learning_rate": 1.7999255784903178e-05, + "loss": 0.962, + "step": 9709 + }, + { + "epoch": 0.23, + "grad_norm": 1.7975555512105712, + "learning_rate": 1.799879786127455e-05, + "loss": 0.8932, + "step": 9710 + }, + { + "epoch": 0.23, + "grad_norm": 0.8182668865168489, + "learning_rate": 1.7998339891074385e-05, + "loss": 0.7851, + "step": 9711 + }, + { + "epoch": 0.23, + "grad_norm": 1.5938287612457547, + "learning_rate": 1.7997881874305356e-05, + "loss": 0.8986, + "step": 9712 + }, + { + "epoch": 0.23, + "grad_norm": 1.7869784661750734, + "learning_rate": 1.7997423810970128e-05, + "loss": 0.995, + "step": 9713 + }, + { + "epoch": 0.23, + "grad_norm": 1.8056201321496679, + "learning_rate": 1.7996965701071364e-05, + "loss": 0.8174, + "step": 9714 + }, + { + "epoch": 0.23, + "grad_norm": 1.5092356976742982, + "learning_rate": 1.7996507544611735e-05, + "loss": 0.8991, + "step": 9715 + }, + { + "epoch": 0.23, + "grad_norm": 1.7421985220299858, + "learning_rate": 1.7996049341593903e-05, + "loss": 0.8673, + "step": 9716 + }, + { + "epoch": 0.23, + "grad_norm": 1.5546326311591296, + "learning_rate": 1.7995591092020544e-05, + "loss": 0.9754, + "step": 9717 + }, + { + "epoch": 0.23, + "grad_norm": 1.6522159388716882, + "learning_rate": 1.7995132795894323e-05, + "loss": 0.9165, + "step": 9718 + }, + { + "epoch": 0.23, + "grad_norm": 2.0067460584991026, + "learning_rate": 1.799467445321791e-05, + "loss": 0.9895, + "step": 9719 + }, + { + "epoch": 0.23, + "grad_norm": 1.9608430450971541, + "learning_rate": 1.7994216063993968e-05, + "loss": 0.8287, + "step": 9720 + }, + { + "epoch": 0.23, + "grad_norm": 2.6347521898844026, + "learning_rate": 1.7993757628225166e-05, + "loss": 0.8955, + "step": 9721 + }, + { + "epoch": 0.23, + "grad_norm": 2.039489584441452, + "learning_rate": 1.799329914591418e-05, + "loss": 0.882, + "step": 9722 + }, + { + "epoch": 0.23, + "grad_norm": 1.7984203250829884, + "learning_rate": 1.799284061706368e-05, + "loss": 0.8923, + "step": 9723 + }, + { + "epoch": 0.23, + "grad_norm": 1.9631275183213357, + "learning_rate": 1.7992382041676326e-05, + "loss": 0.8734, + "step": 9724 + }, + { + "epoch": 0.23, + "grad_norm": 1.7059797590289902, + "learning_rate": 1.7991923419754793e-05, + "loss": 0.7938, + "step": 9725 + }, + { + "epoch": 0.23, + "grad_norm": 1.821638669184535, + "learning_rate": 1.799146475130175e-05, + "loss": 0.8687, + "step": 9726 + }, + { + "epoch": 0.23, + "grad_norm": 7.181940317048502, + "learning_rate": 1.7991006036319876e-05, + "loss": 0.8409, + "step": 9727 + }, + { + "epoch": 0.23, + "grad_norm": 1.4980277310819592, + "learning_rate": 1.799054727481183e-05, + "loss": 0.7481, + "step": 9728 + }, + { + "epoch": 0.23, + "grad_norm": 1.4094395377073086, + "learning_rate": 1.799008846678029e-05, + "loss": 0.7783, + "step": 9729 + }, + { + "epoch": 0.23, + "grad_norm": 1.877997457827619, + "learning_rate": 1.7989629612227924e-05, + "loss": 0.9836, + "step": 9730 + }, + { + "epoch": 0.23, + "grad_norm": 1.5097639752689886, + "learning_rate": 1.7989170711157406e-05, + "loss": 0.8716, + "step": 9731 + }, + { + "epoch": 0.23, + "grad_norm": 1.8339306024590467, + "learning_rate": 1.7988711763571406e-05, + "loss": 0.9322, + "step": 9732 + }, + { + "epoch": 0.23, + "grad_norm": 3.3401855476327027, + "learning_rate": 1.7988252769472597e-05, + "loss": 0.8343, + "step": 9733 + }, + { + "epoch": 0.23, + "grad_norm": 0.7485580203086415, + "learning_rate": 1.798779372886365e-05, + "loss": 0.7329, + "step": 9734 + }, + { + "epoch": 0.23, + "grad_norm": 2.1209642219000684, + "learning_rate": 1.798733464174724e-05, + "loss": 0.93, + "step": 9735 + }, + { + "epoch": 0.23, + "grad_norm": 1.9578766358966069, + "learning_rate": 1.798687550812604e-05, + "loss": 0.8349, + "step": 9736 + }, + { + "epoch": 0.23, + "grad_norm": 1.502093960781598, + "learning_rate": 1.7986416328002723e-05, + "loss": 0.8466, + "step": 9737 + }, + { + "epoch": 0.23, + "grad_norm": 3.4675275327902546, + "learning_rate": 1.798595710137996e-05, + "loss": 0.9018, + "step": 9738 + }, + { + "epoch": 0.23, + "grad_norm": 1.7330174647840004, + "learning_rate": 1.7985497828260425e-05, + "loss": 0.8997, + "step": 9739 + }, + { + "epoch": 0.23, + "grad_norm": 2.9480295181371594, + "learning_rate": 1.7985038508646794e-05, + "loss": 0.8961, + "step": 9740 + }, + { + "epoch": 0.23, + "grad_norm": 1.7181414981750776, + "learning_rate": 1.7984579142541743e-05, + "loss": 0.8611, + "step": 9741 + }, + { + "epoch": 0.23, + "grad_norm": 1.569362358269655, + "learning_rate": 1.7984119729947944e-05, + "loss": 0.9462, + "step": 9742 + }, + { + "epoch": 0.23, + "grad_norm": 1.814233231825221, + "learning_rate": 1.7983660270868074e-05, + "loss": 0.9715, + "step": 9743 + }, + { + "epoch": 0.23, + "grad_norm": 2.382969470428308, + "learning_rate": 1.7983200765304802e-05, + "loss": 0.9439, + "step": 9744 + }, + { + "epoch": 0.23, + "grad_norm": 1.6320686661272077, + "learning_rate": 1.798274121326081e-05, + "loss": 0.904, + "step": 9745 + }, + { + "epoch": 0.23, + "grad_norm": 1.7919766530979913, + "learning_rate": 1.798228161473877e-05, + "loss": 0.9276, + "step": 9746 + }, + { + "epoch": 0.23, + "grad_norm": 1.8132080215418969, + "learning_rate": 1.798182196974136e-05, + "loss": 0.8112, + "step": 9747 + }, + { + "epoch": 0.23, + "grad_norm": 1.5408645391584406, + "learning_rate": 1.7981362278271258e-05, + "loss": 0.874, + "step": 9748 + }, + { + "epoch": 0.23, + "grad_norm": 1.5759573669218365, + "learning_rate": 1.7980902540331134e-05, + "loss": 0.9491, + "step": 9749 + }, + { + "epoch": 0.23, + "grad_norm": 2.1848531159162032, + "learning_rate": 1.798044275592367e-05, + "loss": 1.0246, + "step": 9750 + }, + { + "epoch": 0.23, + "grad_norm": 1.8154754504332355, + "learning_rate": 1.797998292505154e-05, + "loss": 0.9645, + "step": 9751 + }, + { + "epoch": 0.23, + "grad_norm": 1.808716559076863, + "learning_rate": 1.7979523047717427e-05, + "loss": 0.913, + "step": 9752 + }, + { + "epoch": 0.23, + "grad_norm": 1.623336805115776, + "learning_rate": 1.7979063123924004e-05, + "loss": 0.9429, + "step": 9753 + }, + { + "epoch": 0.23, + "grad_norm": 1.8662199990994721, + "learning_rate": 1.7978603153673944e-05, + "loss": 0.9087, + "step": 9754 + }, + { + "epoch": 0.23, + "grad_norm": 0.7759451481519859, + "learning_rate": 1.7978143136969938e-05, + "loss": 0.7625, + "step": 9755 + }, + { + "epoch": 0.23, + "grad_norm": 1.4785520447806886, + "learning_rate": 1.7977683073814655e-05, + "loss": 0.8746, + "step": 9756 + }, + { + "epoch": 0.23, + "grad_norm": 1.6462945683759815, + "learning_rate": 1.797722296421077e-05, + "loss": 0.9929, + "step": 9757 + }, + { + "epoch": 0.23, + "grad_norm": 1.8065192665437917, + "learning_rate": 1.7976762808160972e-05, + "loss": 0.8981, + "step": 9758 + }, + { + "epoch": 0.23, + "grad_norm": 1.9698281631923833, + "learning_rate": 1.7976302605667936e-05, + "loss": 0.8598, + "step": 9759 + }, + { + "epoch": 0.23, + "grad_norm": 1.557944792175995, + "learning_rate": 1.797584235673434e-05, + "loss": 0.7801, + "step": 9760 + }, + { + "epoch": 0.23, + "grad_norm": 1.954158998773744, + "learning_rate": 1.7975382061362863e-05, + "loss": 0.9809, + "step": 9761 + }, + { + "epoch": 0.23, + "grad_norm": 1.6320062732985174, + "learning_rate": 1.797492171955619e-05, + "loss": 0.9364, + "step": 9762 + }, + { + "epoch": 0.23, + "grad_norm": 2.2908293794904115, + "learning_rate": 1.7974461331316994e-05, + "loss": 0.997, + "step": 9763 + }, + { + "epoch": 0.23, + "grad_norm": 1.0358171940700232, + "learning_rate": 1.797400089664796e-05, + "loss": 0.8281, + "step": 9764 + }, + { + "epoch": 0.23, + "grad_norm": 1.4802039998663157, + "learning_rate": 1.797354041555177e-05, + "loss": 0.8857, + "step": 9765 + }, + { + "epoch": 0.23, + "grad_norm": 1.6297389357865673, + "learning_rate": 1.7973079888031102e-05, + "loss": 0.8522, + "step": 9766 + }, + { + "epoch": 0.23, + "grad_norm": 1.6411366890737802, + "learning_rate": 1.7972619314088643e-05, + "loss": 0.9431, + "step": 9767 + }, + { + "epoch": 0.23, + "grad_norm": 2.1160571024699903, + "learning_rate": 1.7972158693727064e-05, + "loss": 1.0624, + "step": 9768 + }, + { + "epoch": 0.23, + "grad_norm": 1.6115884860973058, + "learning_rate": 1.7971698026949055e-05, + "loss": 0.9582, + "step": 9769 + }, + { + "epoch": 0.23, + "grad_norm": 1.6429674977344204, + "learning_rate": 1.79712373137573e-05, + "loss": 0.8154, + "step": 9770 + }, + { + "epoch": 0.23, + "grad_norm": 1.894963350543833, + "learning_rate": 1.7970776554154472e-05, + "loss": 0.849, + "step": 9771 + }, + { + "epoch": 0.23, + "grad_norm": 1.8922594472179919, + "learning_rate": 1.7970315748143264e-05, + "loss": 0.9525, + "step": 9772 + }, + { + "epoch": 0.23, + "grad_norm": 1.637344186867348, + "learning_rate": 1.7969854895726354e-05, + "loss": 0.9633, + "step": 9773 + }, + { + "epoch": 0.23, + "grad_norm": 1.871175572166971, + "learning_rate": 1.796939399690642e-05, + "loss": 0.8725, + "step": 9774 + }, + { + "epoch": 0.23, + "grad_norm": 1.7061334026929804, + "learning_rate": 1.7968933051686157e-05, + "loss": 0.9072, + "step": 9775 + }, + { + "epoch": 0.23, + "grad_norm": 1.600579624504693, + "learning_rate": 1.7968472060068242e-05, + "loss": 0.951, + "step": 9776 + }, + { + "epoch": 0.23, + "grad_norm": 1.6356534682241013, + "learning_rate": 1.796801102205536e-05, + "loss": 0.8805, + "step": 9777 + }, + { + "epoch": 0.23, + "grad_norm": 3.4528284336006423, + "learning_rate": 1.7967549937650193e-05, + "loss": 0.8285, + "step": 9778 + }, + { + "epoch": 0.23, + "grad_norm": 1.6874300957217383, + "learning_rate": 1.796708880685543e-05, + "loss": 0.9575, + "step": 9779 + }, + { + "epoch": 0.23, + "grad_norm": 0.814790536053634, + "learning_rate": 1.796662762967375e-05, + "loss": 0.7943, + "step": 9780 + }, + { + "epoch": 0.23, + "grad_norm": 1.6068363062807849, + "learning_rate": 1.7966166406107847e-05, + "loss": 0.9171, + "step": 9781 + }, + { + "epoch": 0.23, + "grad_norm": 1.642704491075686, + "learning_rate": 1.7965705136160397e-05, + "loss": 0.8065, + "step": 9782 + }, + { + "epoch": 0.23, + "grad_norm": 1.4761698685854752, + "learning_rate": 1.7965243819834092e-05, + "loss": 0.9047, + "step": 9783 + }, + { + "epoch": 0.23, + "grad_norm": 1.7549795282388012, + "learning_rate": 1.7964782457131615e-05, + "loss": 0.8962, + "step": 9784 + }, + { + "epoch": 0.23, + "grad_norm": 2.718064898650604, + "learning_rate": 1.7964321048055656e-05, + "loss": 0.986, + "step": 9785 + }, + { + "epoch": 0.23, + "grad_norm": 1.5226594835493101, + "learning_rate": 1.7963859592608896e-05, + "loss": 0.9326, + "step": 9786 + }, + { + "epoch": 0.23, + "grad_norm": 1.4885658753636188, + "learning_rate": 1.796339809079402e-05, + "loss": 0.8247, + "step": 9787 + }, + { + "epoch": 0.23, + "grad_norm": 2.0418951815582647, + "learning_rate": 1.7962936542613723e-05, + "loss": 0.9527, + "step": 9788 + }, + { + "epoch": 0.23, + "grad_norm": 1.6278400494255705, + "learning_rate": 1.7962474948070688e-05, + "loss": 0.9406, + "step": 9789 + }, + { + "epoch": 0.23, + "grad_norm": 1.825155677564066, + "learning_rate": 1.7962013307167602e-05, + "loss": 1.0516, + "step": 9790 + }, + { + "epoch": 0.23, + "grad_norm": 2.891925858098905, + "learning_rate": 1.7961551619907158e-05, + "loss": 0.9144, + "step": 9791 + }, + { + "epoch": 0.23, + "grad_norm": 1.8490108315021596, + "learning_rate": 1.7961089886292036e-05, + "loss": 0.8215, + "step": 9792 + }, + { + "epoch": 0.23, + "grad_norm": 2.2158828596649243, + "learning_rate": 1.7960628106324927e-05, + "loss": 0.9276, + "step": 9793 + }, + { + "epoch": 0.23, + "grad_norm": 2.2573929474289405, + "learning_rate": 1.7960166280008528e-05, + "loss": 0.8783, + "step": 9794 + }, + { + "epoch": 0.23, + "grad_norm": 1.605381126170576, + "learning_rate": 1.795970440734551e-05, + "loss": 0.9071, + "step": 9795 + }, + { + "epoch": 0.23, + "grad_norm": 0.8109799885166127, + "learning_rate": 1.795924248833858e-05, + "loss": 0.7787, + "step": 9796 + }, + { + "epoch": 0.23, + "grad_norm": 2.768925301278777, + "learning_rate": 1.795878052299042e-05, + "loss": 0.7757, + "step": 9797 + }, + { + "epoch": 0.23, + "grad_norm": 1.5563395126424668, + "learning_rate": 1.7958318511303717e-05, + "loss": 0.8095, + "step": 9798 + }, + { + "epoch": 0.23, + "grad_norm": 3.3909562692826634, + "learning_rate": 1.795785645328117e-05, + "loss": 0.9113, + "step": 9799 + }, + { + "epoch": 0.23, + "grad_norm": 1.5903699013064976, + "learning_rate": 1.795739434892546e-05, + "loss": 0.9873, + "step": 9800 + }, + { + "epoch": 0.23, + "grad_norm": 1.7593564569879439, + "learning_rate": 1.7956932198239278e-05, + "loss": 0.8388, + "step": 9801 + }, + { + "epoch": 0.23, + "grad_norm": 1.6885189922692827, + "learning_rate": 1.7956470001225322e-05, + "loss": 0.8799, + "step": 9802 + }, + { + "epoch": 0.23, + "grad_norm": 1.4968622978813273, + "learning_rate": 1.7956007757886275e-05, + "loss": 0.8443, + "step": 9803 + }, + { + "epoch": 0.23, + "grad_norm": 1.8442193981114936, + "learning_rate": 1.7955545468224832e-05, + "loss": 0.9371, + "step": 9804 + }, + { + "epoch": 0.23, + "grad_norm": 1.5626949277933535, + "learning_rate": 1.7955083132243687e-05, + "loss": 0.8751, + "step": 9805 + }, + { + "epoch": 0.23, + "grad_norm": 0.7790168745473626, + "learning_rate": 1.795462074994553e-05, + "loss": 0.7462, + "step": 9806 + }, + { + "epoch": 0.23, + "grad_norm": 1.5619588235485962, + "learning_rate": 1.795415832133305e-05, + "loss": 0.9239, + "step": 9807 + }, + { + "epoch": 0.23, + "grad_norm": 1.5987264962773517, + "learning_rate": 1.7953695846408945e-05, + "loss": 0.9586, + "step": 9808 + }, + { + "epoch": 0.23, + "grad_norm": 1.5114351158284554, + "learning_rate": 1.7953233325175904e-05, + "loss": 0.8915, + "step": 9809 + }, + { + "epoch": 0.23, + "grad_norm": 1.5271351141579572, + "learning_rate": 1.795277075763662e-05, + "loss": 0.919, + "step": 9810 + }, + { + "epoch": 0.23, + "grad_norm": 1.719922061764369, + "learning_rate": 1.7952308143793783e-05, + "loss": 0.9159, + "step": 9811 + }, + { + "epoch": 0.23, + "grad_norm": 0.7575430247491387, + "learning_rate": 1.7951845483650093e-05, + "loss": 0.7377, + "step": 9812 + }, + { + "epoch": 0.23, + "grad_norm": 1.5487846636221412, + "learning_rate": 1.7951382777208243e-05, + "loss": 0.9105, + "step": 9813 + }, + { + "epoch": 0.23, + "grad_norm": 2.191923037420851, + "learning_rate": 1.7950920024470923e-05, + "loss": 0.9412, + "step": 9814 + }, + { + "epoch": 0.23, + "grad_norm": 1.5227282376360727, + "learning_rate": 1.795045722544083e-05, + "loss": 0.9726, + "step": 9815 + }, + { + "epoch": 0.23, + "grad_norm": 1.6216020116771122, + "learning_rate": 1.794999438012066e-05, + "loss": 0.8319, + "step": 9816 + }, + { + "epoch": 0.23, + "grad_norm": 1.625267259362579, + "learning_rate": 1.7949531488513106e-05, + "loss": 0.967, + "step": 9817 + }, + { + "epoch": 0.23, + "grad_norm": 1.700079123294486, + "learning_rate": 1.794906855062086e-05, + "loss": 0.8949, + "step": 9818 + }, + { + "epoch": 0.23, + "grad_norm": 1.5038852677801309, + "learning_rate": 1.794860556644662e-05, + "loss": 0.9363, + "step": 9819 + }, + { + "epoch": 0.23, + "grad_norm": 1.465369520324321, + "learning_rate": 1.7948142535993084e-05, + "loss": 0.9335, + "step": 9820 + }, + { + "epoch": 0.23, + "grad_norm": 1.650585737771178, + "learning_rate": 1.7947679459262945e-05, + "loss": 1.0445, + "step": 9821 + }, + { + "epoch": 0.23, + "grad_norm": 1.8081028477211687, + "learning_rate": 1.79472163362589e-05, + "loss": 0.763, + "step": 9822 + }, + { + "epoch": 0.23, + "grad_norm": 1.5989028729171049, + "learning_rate": 1.7946753166983642e-05, + "loss": 0.8714, + "step": 9823 + }, + { + "epoch": 0.23, + "grad_norm": 2.114173078366993, + "learning_rate": 1.7946289951439876e-05, + "loss": 0.8645, + "step": 9824 + }, + { + "epoch": 0.23, + "grad_norm": 1.4848087593453543, + "learning_rate": 1.7945826689630293e-05, + "loss": 0.8878, + "step": 9825 + }, + { + "epoch": 0.23, + "grad_norm": 1.7656017805744328, + "learning_rate": 1.7945363381557594e-05, + "loss": 0.9943, + "step": 9826 + }, + { + "epoch": 0.23, + "grad_norm": 1.6004810436164445, + "learning_rate": 1.794490002722447e-05, + "loss": 0.8811, + "step": 9827 + }, + { + "epoch": 0.23, + "grad_norm": 1.915426860020582, + "learning_rate": 1.7944436626633625e-05, + "loss": 0.8688, + "step": 9828 + }, + { + "epoch": 0.23, + "grad_norm": 1.9125896475419497, + "learning_rate": 1.7943973179787753e-05, + "loss": 0.9054, + "step": 9829 + }, + { + "epoch": 0.23, + "grad_norm": 1.8901875499576917, + "learning_rate": 1.7943509686689556e-05, + "loss": 0.8366, + "step": 9830 + }, + { + "epoch": 0.23, + "grad_norm": 1.8078399471806208, + "learning_rate": 1.7943046147341727e-05, + "loss": 0.8641, + "step": 9831 + }, + { + "epoch": 0.23, + "grad_norm": 1.628568739341852, + "learning_rate": 1.7942582561746973e-05, + "loss": 1.0438, + "step": 9832 + }, + { + "epoch": 0.23, + "grad_norm": 2.087811541367086, + "learning_rate": 1.7942118929907987e-05, + "loss": 0.9519, + "step": 9833 + }, + { + "epoch": 0.23, + "grad_norm": 2.7064760980288742, + "learning_rate": 1.7941655251827467e-05, + "loss": 1.0111, + "step": 9834 + }, + { + "epoch": 0.23, + "grad_norm": 1.614676141506988, + "learning_rate": 1.794119152750812e-05, + "loss": 0.9693, + "step": 9835 + }, + { + "epoch": 0.23, + "grad_norm": 1.5236513232292648, + "learning_rate": 1.794072775695264e-05, + "loss": 0.9586, + "step": 9836 + }, + { + "epoch": 0.23, + "grad_norm": 1.5740921279291176, + "learning_rate": 1.7940263940163732e-05, + "loss": 0.9818, + "step": 9837 + }, + { + "epoch": 0.23, + "grad_norm": 1.5861040147076693, + "learning_rate": 1.793980007714409e-05, + "loss": 1.0072, + "step": 9838 + }, + { + "epoch": 0.23, + "grad_norm": 1.7083515631182928, + "learning_rate": 1.7939336167896416e-05, + "loss": 0.9882, + "step": 9839 + }, + { + "epoch": 0.23, + "grad_norm": 1.6756062344858214, + "learning_rate": 1.7938872212423417e-05, + "loss": 0.8391, + "step": 9840 + }, + { + "epoch": 0.23, + "grad_norm": 1.6416272203793565, + "learning_rate": 1.793840821072779e-05, + "loss": 1.0538, + "step": 9841 + }, + { + "epoch": 0.23, + "grad_norm": 1.8090197739397031, + "learning_rate": 1.7937944162812238e-05, + "loss": 0.8721, + "step": 9842 + }, + { + "epoch": 0.23, + "grad_norm": 2.208329254627245, + "learning_rate": 1.7937480068679462e-05, + "loss": 0.9359, + "step": 9843 + }, + { + "epoch": 0.23, + "grad_norm": 1.6529611185650468, + "learning_rate": 1.7937015928332165e-05, + "loss": 0.8443, + "step": 9844 + }, + { + "epoch": 0.23, + "grad_norm": 1.6678525463133131, + "learning_rate": 1.7936551741773043e-05, + "loss": 0.893, + "step": 9845 + }, + { + "epoch": 0.23, + "grad_norm": 1.729797834515621, + "learning_rate": 1.7936087509004812e-05, + "loss": 0.9205, + "step": 9846 + }, + { + "epoch": 0.23, + "grad_norm": 1.736639381588157, + "learning_rate": 1.793562323003016e-05, + "loss": 0.7499, + "step": 9847 + }, + { + "epoch": 0.23, + "grad_norm": 3.6749870785722023, + "learning_rate": 1.79351589048518e-05, + "loss": 0.8958, + "step": 9848 + }, + { + "epoch": 0.23, + "grad_norm": 1.724147834151157, + "learning_rate": 1.7934694533472433e-05, + "loss": 0.9167, + "step": 9849 + }, + { + "epoch": 0.23, + "grad_norm": 1.7418297526926347, + "learning_rate": 1.7934230115894765e-05, + "loss": 0.9503, + "step": 9850 + }, + { + "epoch": 0.23, + "grad_norm": 1.6524577090766042, + "learning_rate": 1.7933765652121493e-05, + "loss": 0.9337, + "step": 9851 + }, + { + "epoch": 0.23, + "grad_norm": 1.8124962880013331, + "learning_rate": 1.793330114215533e-05, + "loss": 0.9778, + "step": 9852 + }, + { + "epoch": 0.23, + "grad_norm": 1.5442705435061397, + "learning_rate": 1.7932836585998973e-05, + "loss": 1.0508, + "step": 9853 + }, + { + "epoch": 0.23, + "grad_norm": 1.8115508070874191, + "learning_rate": 1.7932371983655125e-05, + "loss": 0.8837, + "step": 9854 + }, + { + "epoch": 0.23, + "grad_norm": 2.139545716358563, + "learning_rate": 1.7931907335126505e-05, + "loss": 0.7774, + "step": 9855 + }, + { + "epoch": 0.23, + "grad_norm": 2.5217379301982885, + "learning_rate": 1.7931442640415805e-05, + "loss": 0.918, + "step": 9856 + }, + { + "epoch": 0.23, + "grad_norm": 1.7511154191617648, + "learning_rate": 1.7930977899525736e-05, + "loss": 0.7951, + "step": 9857 + }, + { + "epoch": 0.23, + "grad_norm": 1.6872718198036818, + "learning_rate": 1.7930513112459002e-05, + "loss": 0.9589, + "step": 9858 + }, + { + "epoch": 0.23, + "grad_norm": 2.071152917813331, + "learning_rate": 1.7930048279218306e-05, + "loss": 0.8726, + "step": 9859 + }, + { + "epoch": 0.23, + "grad_norm": 1.8908445284025388, + "learning_rate": 1.7929583399806363e-05, + "loss": 0.8087, + "step": 9860 + }, + { + "epoch": 0.23, + "grad_norm": 1.6424482751000773, + "learning_rate": 1.7929118474225876e-05, + "loss": 0.9094, + "step": 9861 + }, + { + "epoch": 0.23, + "grad_norm": 1.5403677873609702, + "learning_rate": 1.7928653502479546e-05, + "loss": 0.8768, + "step": 9862 + }, + { + "epoch": 0.23, + "grad_norm": 1.5453042036763804, + "learning_rate": 1.792818848457009e-05, + "loss": 0.887, + "step": 9863 + }, + { + "epoch": 0.23, + "grad_norm": 1.6549697024644943, + "learning_rate": 1.792772342050021e-05, + "loss": 1.0145, + "step": 9864 + }, + { + "epoch": 0.23, + "grad_norm": 0.8268841061754137, + "learning_rate": 1.7927258310272613e-05, + "loss": 0.7563, + "step": 9865 + }, + { + "epoch": 0.23, + "grad_norm": 1.8804449156948266, + "learning_rate": 1.7926793153890006e-05, + "loss": 0.9433, + "step": 9866 + }, + { + "epoch": 0.23, + "grad_norm": 1.4312664313591923, + "learning_rate": 1.7926327951355106e-05, + "loss": 0.9077, + "step": 9867 + }, + { + "epoch": 0.23, + "grad_norm": 2.0956930602760555, + "learning_rate": 1.7925862702670608e-05, + "loss": 0.937, + "step": 9868 + }, + { + "epoch": 0.23, + "grad_norm": 1.7301649476377363, + "learning_rate": 1.7925397407839233e-05, + "loss": 0.8433, + "step": 9869 + }, + { + "epoch": 0.23, + "grad_norm": 1.6074636629075356, + "learning_rate": 1.7924932066863682e-05, + "loss": 1.0662, + "step": 9870 + }, + { + "epoch": 0.23, + "grad_norm": 1.6844243285081388, + "learning_rate": 1.792446667974667e-05, + "loss": 0.9733, + "step": 9871 + }, + { + "epoch": 0.23, + "grad_norm": 1.600367938813124, + "learning_rate": 1.7924001246490907e-05, + "loss": 0.9236, + "step": 9872 + }, + { + "epoch": 0.23, + "grad_norm": 1.7348013289918613, + "learning_rate": 1.7923535767099093e-05, + "loss": 0.9107, + "step": 9873 + }, + { + "epoch": 0.23, + "grad_norm": 1.526275081740061, + "learning_rate": 1.792307024157395e-05, + "loss": 0.9699, + "step": 9874 + }, + { + "epoch": 0.23, + "grad_norm": 1.63488516333478, + "learning_rate": 1.792260466991818e-05, + "loss": 1.0048, + "step": 9875 + }, + { + "epoch": 0.23, + "grad_norm": 1.437296392776579, + "learning_rate": 1.79221390521345e-05, + "loss": 0.9365, + "step": 9876 + }, + { + "epoch": 0.23, + "grad_norm": 1.8089410128116878, + "learning_rate": 1.792167338822562e-05, + "loss": 0.8665, + "step": 9877 + }, + { + "epoch": 0.23, + "grad_norm": 1.671933393288656, + "learning_rate": 1.792120767819425e-05, + "loss": 1.024, + "step": 9878 + }, + { + "epoch": 0.23, + "grad_norm": 1.689581055428095, + "learning_rate": 1.7920741922043093e-05, + "loss": 0.876, + "step": 9879 + }, + { + "epoch": 0.23, + "grad_norm": 1.6963745983274487, + "learning_rate": 1.7920276119774876e-05, + "loss": 0.8106, + "step": 9880 + }, + { + "epoch": 0.23, + "grad_norm": 1.7944998776429253, + "learning_rate": 1.7919810271392305e-05, + "loss": 0.9697, + "step": 9881 + }, + { + "epoch": 0.23, + "grad_norm": 0.8865105508217324, + "learning_rate": 1.7919344376898088e-05, + "loss": 0.8246, + "step": 9882 + }, + { + "epoch": 0.23, + "grad_norm": 1.6082258828580127, + "learning_rate": 1.791887843629494e-05, + "loss": 0.8947, + "step": 9883 + }, + { + "epoch": 0.23, + "grad_norm": 1.7142261469184474, + "learning_rate": 1.7918412449585577e-05, + "loss": 0.8946, + "step": 9884 + }, + { + "epoch": 0.23, + "grad_norm": 1.8791487900572377, + "learning_rate": 1.7917946416772708e-05, + "loss": 1.0111, + "step": 9885 + }, + { + "epoch": 0.23, + "grad_norm": 1.663529408942093, + "learning_rate": 1.791748033785905e-05, + "loss": 0.9692, + "step": 9886 + }, + { + "epoch": 0.23, + "grad_norm": 1.8697987678174601, + "learning_rate": 1.7917014212847314e-05, + "loss": 0.801, + "step": 9887 + }, + { + "epoch": 0.23, + "grad_norm": 0.8792082727912633, + "learning_rate": 1.7916548041740213e-05, + "loss": 0.7667, + "step": 9888 + }, + { + "epoch": 0.23, + "grad_norm": 1.9768305728234439, + "learning_rate": 1.7916081824540466e-05, + "loss": 0.8251, + "step": 9889 + }, + { + "epoch": 0.23, + "grad_norm": 1.8328970427010738, + "learning_rate": 1.7915615561250783e-05, + "loss": 1.0216, + "step": 9890 + }, + { + "epoch": 0.23, + "grad_norm": 1.7340627101817923, + "learning_rate": 1.791514925187388e-05, + "loss": 0.8828, + "step": 9891 + }, + { + "epoch": 0.23, + "grad_norm": 1.6550073934167226, + "learning_rate": 1.791468289641247e-05, + "loss": 0.8747, + "step": 9892 + }, + { + "epoch": 0.23, + "grad_norm": 1.7978276759499012, + "learning_rate": 1.7914216494869278e-05, + "loss": 0.8214, + "step": 9893 + }, + { + "epoch": 0.23, + "grad_norm": 2.0158948264900087, + "learning_rate": 1.7913750047247004e-05, + "loss": 0.9299, + "step": 9894 + }, + { + "epoch": 0.23, + "grad_norm": 1.5982935120614332, + "learning_rate": 1.7913283553548374e-05, + "loss": 0.9971, + "step": 9895 + }, + { + "epoch": 0.23, + "grad_norm": 0.7668812245452352, + "learning_rate": 1.7912817013776102e-05, + "loss": 0.7589, + "step": 9896 + }, + { + "epoch": 0.23, + "grad_norm": 1.6828148046774554, + "learning_rate": 1.7912350427932905e-05, + "loss": 1.0159, + "step": 9897 + }, + { + "epoch": 0.23, + "grad_norm": 1.7846602599855501, + "learning_rate": 1.79118837960215e-05, + "loss": 0.8043, + "step": 9898 + }, + { + "epoch": 0.23, + "grad_norm": 1.7222855960794858, + "learning_rate": 1.79114171180446e-05, + "loss": 0.8253, + "step": 9899 + }, + { + "epoch": 0.23, + "grad_norm": 1.5160407915154495, + "learning_rate": 1.7910950394004926e-05, + "loss": 0.9552, + "step": 9900 + }, + { + "epoch": 0.23, + "grad_norm": 0.7951798046383154, + "learning_rate": 1.7910483623905195e-05, + "loss": 0.7014, + "step": 9901 + }, + { + "epoch": 0.23, + "grad_norm": 1.7200539630368974, + "learning_rate": 1.791001680774812e-05, + "loss": 0.9824, + "step": 9902 + }, + { + "epoch": 0.23, + "grad_norm": 1.6850437876735662, + "learning_rate": 1.7909549945536427e-05, + "loss": 0.9581, + "step": 9903 + }, + { + "epoch": 0.23, + "grad_norm": 1.6369384949777206, + "learning_rate": 1.790908303727283e-05, + "loss": 0.9208, + "step": 9904 + }, + { + "epoch": 0.23, + "grad_norm": 1.5662037067508652, + "learning_rate": 1.7908616082960047e-05, + "loss": 0.986, + "step": 9905 + }, + { + "epoch": 0.23, + "grad_norm": 1.6956454526870413, + "learning_rate": 1.7908149082600796e-05, + "loss": 0.7804, + "step": 9906 + }, + { + "epoch": 0.23, + "grad_norm": 1.7561093357400215, + "learning_rate": 1.79076820361978e-05, + "loss": 1.0492, + "step": 9907 + }, + { + "epoch": 0.23, + "grad_norm": 2.2103334551904688, + "learning_rate": 1.790721494375377e-05, + "loss": 0.9555, + "step": 9908 + }, + { + "epoch": 0.23, + "grad_norm": 1.7343061005452471, + "learning_rate": 1.790674780527144e-05, + "loss": 0.9319, + "step": 9909 + }, + { + "epoch": 0.23, + "grad_norm": 1.5059700260686415, + "learning_rate": 1.7906280620753517e-05, + "loss": 0.8805, + "step": 9910 + }, + { + "epoch": 0.23, + "grad_norm": 1.8085079142171685, + "learning_rate": 1.790581339020272e-05, + "loss": 0.7653, + "step": 9911 + }, + { + "epoch": 0.23, + "grad_norm": 1.607418175234772, + "learning_rate": 1.790534611362178e-05, + "loss": 1.0127, + "step": 9912 + }, + { + "epoch": 0.23, + "grad_norm": 1.9337651865210705, + "learning_rate": 1.7904878791013412e-05, + "loss": 0.829, + "step": 9913 + }, + { + "epoch": 0.23, + "grad_norm": 1.645978526464702, + "learning_rate": 1.7904411422380336e-05, + "loss": 0.906, + "step": 9914 + }, + { + "epoch": 0.23, + "grad_norm": 2.3418749977633144, + "learning_rate": 1.7903944007725273e-05, + "loss": 0.9006, + "step": 9915 + }, + { + "epoch": 0.23, + "grad_norm": 1.720689873266827, + "learning_rate": 1.790347654705095e-05, + "loss": 0.8597, + "step": 9916 + }, + { + "epoch": 0.23, + "grad_norm": 0.7871349775517089, + "learning_rate": 1.790300904036008e-05, + "loss": 0.769, + "step": 9917 + }, + { + "epoch": 0.23, + "grad_norm": 1.779102670833269, + "learning_rate": 1.790254148765539e-05, + "loss": 0.9889, + "step": 9918 + }, + { + "epoch": 0.23, + "grad_norm": 1.8526289917550112, + "learning_rate": 1.7902073888939603e-05, + "loss": 0.9929, + "step": 9919 + }, + { + "epoch": 0.23, + "grad_norm": 1.7954587045575037, + "learning_rate": 1.7901606244215436e-05, + "loss": 0.8204, + "step": 9920 + }, + { + "epoch": 0.23, + "grad_norm": 1.600928051345805, + "learning_rate": 1.7901138553485623e-05, + "loss": 0.9529, + "step": 9921 + }, + { + "epoch": 0.23, + "grad_norm": 1.511393430367098, + "learning_rate": 1.7900670816752875e-05, + "loss": 0.935, + "step": 9922 + }, + { + "epoch": 0.23, + "grad_norm": 1.5834267559112483, + "learning_rate": 1.790020303401992e-05, + "loss": 0.8124, + "step": 9923 + }, + { + "epoch": 0.23, + "grad_norm": 1.494440761274893, + "learning_rate": 1.7899735205289483e-05, + "loss": 0.9817, + "step": 9924 + }, + { + "epoch": 0.23, + "grad_norm": 0.8264736623288202, + "learning_rate": 1.7899267330564287e-05, + "loss": 0.7043, + "step": 9925 + }, + { + "epoch": 0.23, + "grad_norm": 1.9429645993235511, + "learning_rate": 1.7898799409847055e-05, + "loss": 0.9564, + "step": 9926 + }, + { + "epoch": 0.23, + "grad_norm": 1.8479416867247158, + "learning_rate": 1.7898331443140512e-05, + "loss": 0.9437, + "step": 9927 + }, + { + "epoch": 0.23, + "grad_norm": 1.6761853829707778, + "learning_rate": 1.7897863430447384e-05, + "loss": 0.9874, + "step": 9928 + }, + { + "epoch": 0.23, + "grad_norm": 1.615213450372831, + "learning_rate": 1.7897395371770393e-05, + "loss": 0.8733, + "step": 9929 + }, + { + "epoch": 0.23, + "grad_norm": 1.665932232381268, + "learning_rate": 1.789692726711227e-05, + "loss": 0.9442, + "step": 9930 + }, + { + "epoch": 0.23, + "grad_norm": 1.6262048093940844, + "learning_rate": 1.789645911647573e-05, + "loss": 0.9114, + "step": 9931 + }, + { + "epoch": 0.23, + "grad_norm": 1.6674626119405935, + "learning_rate": 1.789599091986351e-05, + "loss": 1.0746, + "step": 9932 + }, + { + "epoch": 0.23, + "grad_norm": 1.6791069962369898, + "learning_rate": 1.7895522677278327e-05, + "loss": 0.8124, + "step": 9933 + }, + { + "epoch": 0.23, + "grad_norm": 1.6785190190947747, + "learning_rate": 1.7895054388722913e-05, + "loss": 0.8257, + "step": 9934 + }, + { + "epoch": 0.23, + "grad_norm": 1.5285582715367823, + "learning_rate": 1.7894586054199993e-05, + "loss": 0.9601, + "step": 9935 + }, + { + "epoch": 0.23, + "grad_norm": 1.6154004722443844, + "learning_rate": 1.7894117673712295e-05, + "loss": 0.9834, + "step": 9936 + }, + { + "epoch": 0.23, + "grad_norm": 1.7152588882931126, + "learning_rate": 1.7893649247262543e-05, + "loss": 0.9751, + "step": 9937 + }, + { + "epoch": 0.23, + "grad_norm": 1.883027879483452, + "learning_rate": 1.7893180774853467e-05, + "loss": 1.0326, + "step": 9938 + }, + { + "epoch": 0.23, + "grad_norm": 1.6386939936442053, + "learning_rate": 1.7892712256487792e-05, + "loss": 0.9478, + "step": 9939 + }, + { + "epoch": 0.23, + "grad_norm": 1.7483527996709507, + "learning_rate": 1.789224369216825e-05, + "loss": 0.9197, + "step": 9940 + }, + { + "epoch": 0.23, + "grad_norm": 0.7397388166362387, + "learning_rate": 1.7891775081897564e-05, + "loss": 0.7124, + "step": 9941 + }, + { + "epoch": 0.23, + "grad_norm": 1.5493574087813844, + "learning_rate": 1.7891306425678467e-05, + "loss": 0.9317, + "step": 9942 + }, + { + "epoch": 0.23, + "grad_norm": 1.452960204482011, + "learning_rate": 1.7890837723513686e-05, + "loss": 0.9374, + "step": 9943 + }, + { + "epoch": 0.23, + "grad_norm": 1.9433165377778996, + "learning_rate": 1.7890368975405947e-05, + "loss": 0.9042, + "step": 9944 + }, + { + "epoch": 0.23, + "grad_norm": 1.6086275907209966, + "learning_rate": 1.7889900181357983e-05, + "loss": 0.858, + "step": 9945 + }, + { + "epoch": 0.23, + "grad_norm": 2.075767628695061, + "learning_rate": 1.7889431341372523e-05, + "loss": 0.863, + "step": 9946 + }, + { + "epoch": 0.23, + "grad_norm": 1.9727445500476868, + "learning_rate": 1.7888962455452296e-05, + "loss": 0.8878, + "step": 9947 + }, + { + "epoch": 0.23, + "grad_norm": 2.0508449557037145, + "learning_rate": 1.788849352360003e-05, + "loss": 1.0051, + "step": 9948 + }, + { + "epoch": 0.23, + "grad_norm": 1.6427936587604517, + "learning_rate": 1.7888024545818458e-05, + "loss": 0.9741, + "step": 9949 + }, + { + "epoch": 0.23, + "grad_norm": 2.15257159622046, + "learning_rate": 1.788755552211031e-05, + "loss": 0.9217, + "step": 9950 + }, + { + "epoch": 0.23, + "grad_norm": 0.7726326864653852, + "learning_rate": 1.7887086452478318e-05, + "loss": 0.767, + "step": 9951 + }, + { + "epoch": 0.23, + "grad_norm": 1.5419796964637438, + "learning_rate": 1.788661733692521e-05, + "loss": 0.9236, + "step": 9952 + }, + { + "epoch": 0.23, + "grad_norm": 1.6483062464414378, + "learning_rate": 1.788614817545372e-05, + "loss": 1.0015, + "step": 9953 + }, + { + "epoch": 0.23, + "grad_norm": 1.6958427615877445, + "learning_rate": 1.7885678968066576e-05, + "loss": 0.9698, + "step": 9954 + }, + { + "epoch": 0.23, + "grad_norm": 1.6487555867856312, + "learning_rate": 1.7885209714766517e-05, + "loss": 0.845, + "step": 9955 + }, + { + "epoch": 0.23, + "grad_norm": 0.7355735763334263, + "learning_rate": 1.788474041555627e-05, + "loss": 0.7295, + "step": 9956 + }, + { + "epoch": 0.23, + "grad_norm": 1.4967133284944658, + "learning_rate": 1.7884271070438563e-05, + "loss": 0.8266, + "step": 9957 + }, + { + "epoch": 0.23, + "grad_norm": 1.749300707811484, + "learning_rate": 1.7883801679416138e-05, + "loss": 0.9364, + "step": 9958 + }, + { + "epoch": 0.23, + "grad_norm": 1.71678173786245, + "learning_rate": 1.7883332242491726e-05, + "loss": 0.9119, + "step": 9959 + }, + { + "epoch": 0.23, + "grad_norm": 1.6834621505240792, + "learning_rate": 1.7882862759668052e-05, + "loss": 0.9084, + "step": 9960 + }, + { + "epoch": 0.23, + "grad_norm": 3.7333540393684967, + "learning_rate": 1.7882393230947857e-05, + "loss": 0.9132, + "step": 9961 + }, + { + "epoch": 0.23, + "grad_norm": 1.754999389541667, + "learning_rate": 1.7881923656333876e-05, + "loss": 0.817, + "step": 9962 + }, + { + "epoch": 0.23, + "grad_norm": 2.2734400188709225, + "learning_rate": 1.788145403582884e-05, + "loss": 0.754, + "step": 9963 + }, + { + "epoch": 0.23, + "grad_norm": 1.7369703726675307, + "learning_rate": 1.788098436943548e-05, + "loss": 0.9626, + "step": 9964 + }, + { + "epoch": 0.23, + "grad_norm": 1.5641338230751063, + "learning_rate": 1.7880514657156534e-05, + "loss": 0.8924, + "step": 9965 + }, + { + "epoch": 0.23, + "grad_norm": 1.78666239639182, + "learning_rate": 1.788004489899474e-05, + "loss": 0.8051, + "step": 9966 + }, + { + "epoch": 0.23, + "grad_norm": 1.7927636895465129, + "learning_rate": 1.7879575094952826e-05, + "loss": 1.0417, + "step": 9967 + }, + { + "epoch": 0.23, + "grad_norm": 0.7836145360887156, + "learning_rate": 1.7879105245033533e-05, + "loss": 0.7831, + "step": 9968 + }, + { + "epoch": 0.23, + "grad_norm": 1.8043704291062157, + "learning_rate": 1.7878635349239593e-05, + "loss": 0.9648, + "step": 9969 + }, + { + "epoch": 0.23, + "grad_norm": 1.5939612416802866, + "learning_rate": 1.7878165407573747e-05, + "loss": 0.834, + "step": 9970 + }, + { + "epoch": 0.23, + "grad_norm": 1.6033822451302628, + "learning_rate": 1.7877695420038725e-05, + "loss": 0.956, + "step": 9971 + }, + { + "epoch": 0.23, + "grad_norm": 2.100687186697513, + "learning_rate": 1.7877225386637266e-05, + "loss": 0.8391, + "step": 9972 + }, + { + "epoch": 0.23, + "grad_norm": 1.703737738257727, + "learning_rate": 1.787675530737211e-05, + "loss": 0.9382, + "step": 9973 + }, + { + "epoch": 0.23, + "grad_norm": 1.4552641387865275, + "learning_rate": 1.7876285182245992e-05, + "loss": 0.8754, + "step": 9974 + }, + { + "epoch": 0.24, + "grad_norm": 1.6240091929668359, + "learning_rate": 1.7875815011261645e-05, + "loss": 0.9141, + "step": 9975 + }, + { + "epoch": 0.24, + "grad_norm": 2.0089734025586625, + "learning_rate": 1.7875344794421808e-05, + "loss": 0.8146, + "step": 9976 + }, + { + "epoch": 0.24, + "grad_norm": 1.9193335542158667, + "learning_rate": 1.7874874531729225e-05, + "loss": 0.8501, + "step": 9977 + }, + { + "epoch": 0.24, + "grad_norm": 1.6542896018099194, + "learning_rate": 1.7874404223186626e-05, + "loss": 0.8703, + "step": 9978 + }, + { + "epoch": 0.24, + "grad_norm": 1.621593824652844, + "learning_rate": 1.7873933868796753e-05, + "loss": 0.838, + "step": 9979 + }, + { + "epoch": 0.24, + "grad_norm": 1.6669466989330062, + "learning_rate": 1.7873463468562343e-05, + "loss": 0.9913, + "step": 9980 + }, + { + "epoch": 0.24, + "grad_norm": 2.206581002806844, + "learning_rate": 1.7872993022486137e-05, + "loss": 1.0253, + "step": 9981 + }, + { + "epoch": 0.24, + "grad_norm": 1.7629185525634923, + "learning_rate": 1.7872522530570876e-05, + "loss": 0.9224, + "step": 9982 + }, + { + "epoch": 0.24, + "grad_norm": 1.5858753285126652, + "learning_rate": 1.7872051992819295e-05, + "loss": 0.891, + "step": 9983 + }, + { + "epoch": 0.24, + "grad_norm": 1.8356584213824354, + "learning_rate": 1.7871581409234134e-05, + "loss": 0.8625, + "step": 9984 + }, + { + "epoch": 0.24, + "grad_norm": 1.7076386640467403, + "learning_rate": 1.787111077981813e-05, + "loss": 0.8056, + "step": 9985 + }, + { + "epoch": 0.24, + "grad_norm": 2.247455579024133, + "learning_rate": 1.787064010457403e-05, + "loss": 0.9205, + "step": 9986 + }, + { + "epoch": 0.24, + "grad_norm": 1.7674364980644108, + "learning_rate": 1.7870169383504574e-05, + "loss": 0.8308, + "step": 9987 + }, + { + "epoch": 0.24, + "grad_norm": 1.6636053138894116, + "learning_rate": 1.78696986166125e-05, + "loss": 0.8824, + "step": 9988 + }, + { + "epoch": 0.24, + "grad_norm": 1.6253322805844677, + "learning_rate": 1.7869227803900548e-05, + "loss": 1.0076, + "step": 9989 + }, + { + "epoch": 0.24, + "grad_norm": 1.570172750932819, + "learning_rate": 1.786875694537146e-05, + "loss": 0.8793, + "step": 9990 + }, + { + "epoch": 0.24, + "grad_norm": 1.518861068489803, + "learning_rate": 1.7868286041027977e-05, + "loss": 0.8179, + "step": 9991 + }, + { + "epoch": 0.24, + "grad_norm": 1.6623438726177138, + "learning_rate": 1.7867815090872845e-05, + "loss": 0.8444, + "step": 9992 + }, + { + "epoch": 0.24, + "grad_norm": 1.5104887018551265, + "learning_rate": 1.78673440949088e-05, + "loss": 0.8652, + "step": 9993 + }, + { + "epoch": 0.24, + "grad_norm": 1.8443362705133863, + "learning_rate": 1.7866873053138588e-05, + "loss": 0.9245, + "step": 9994 + }, + { + "epoch": 0.24, + "grad_norm": 2.068161859443834, + "learning_rate": 1.786640196556495e-05, + "loss": 0.962, + "step": 9995 + }, + { + "epoch": 0.24, + "grad_norm": 0.7481607842066392, + "learning_rate": 1.786593083219063e-05, + "loss": 0.7485, + "step": 9996 + }, + { + "epoch": 0.24, + "grad_norm": 1.9640628517248673, + "learning_rate": 1.7865459653018368e-05, + "loss": 0.9395, + "step": 9997 + }, + { + "epoch": 0.24, + "grad_norm": 2.106683699269206, + "learning_rate": 1.7864988428050912e-05, + "loss": 0.8278, + "step": 9998 + }, + { + "epoch": 0.24, + "grad_norm": 2.1045970281034307, + "learning_rate": 1.7864517157291e-05, + "loss": 0.8415, + "step": 9999 + }, + { + "epoch": 0.24, + "grad_norm": 1.5923121407310985, + "learning_rate": 1.7864045840741383e-05, + "loss": 0.9475, + "step": 10000 + }, + { + "epoch": 0.24, + "grad_norm": 0.7681649526462822, + "learning_rate": 1.78635744784048e-05, + "loss": 0.7648, + "step": 10001 + }, + { + "epoch": 0.24, + "grad_norm": 1.5470446926230357, + "learning_rate": 1.7863103070283995e-05, + "loss": 0.9085, + "step": 10002 + }, + { + "epoch": 0.24, + "grad_norm": 1.696113466758017, + "learning_rate": 1.7862631616381717e-05, + "loss": 0.8819, + "step": 10003 + }, + { + "epoch": 0.24, + "grad_norm": 1.9030712433635568, + "learning_rate": 1.786216011670071e-05, + "loss": 0.7873, + "step": 10004 + }, + { + "epoch": 0.24, + "grad_norm": 1.974440640896007, + "learning_rate": 1.7861688571243715e-05, + "loss": 0.8947, + "step": 10005 + }, + { + "epoch": 0.24, + "grad_norm": 2.028504689266288, + "learning_rate": 1.786121698001348e-05, + "loss": 0.8321, + "step": 10006 + }, + { + "epoch": 0.24, + "grad_norm": 0.7841023331116321, + "learning_rate": 1.786074534301275e-05, + "loss": 0.7826, + "step": 10007 + }, + { + "epoch": 0.24, + "grad_norm": 2.352877787739958, + "learning_rate": 1.7860273660244275e-05, + "loss": 0.8976, + "step": 10008 + }, + { + "epoch": 0.24, + "grad_norm": 2.0363603861820545, + "learning_rate": 1.7859801931710798e-05, + "loss": 0.9001, + "step": 10009 + }, + { + "epoch": 0.24, + "grad_norm": 1.5012225191414297, + "learning_rate": 1.7859330157415065e-05, + "loss": 0.8473, + "step": 10010 + }, + { + "epoch": 0.24, + "grad_norm": 1.8068708408600291, + "learning_rate": 1.785885833735982e-05, + "loss": 0.8981, + "step": 10011 + }, + { + "epoch": 0.24, + "grad_norm": 1.5017535479874253, + "learning_rate": 1.785838647154782e-05, + "loss": 0.9806, + "step": 10012 + }, + { + "epoch": 0.24, + "grad_norm": 2.0134560670162447, + "learning_rate": 1.7857914559981805e-05, + "loss": 1.0275, + "step": 10013 + }, + { + "epoch": 0.24, + "grad_norm": 1.8498990912434774, + "learning_rate": 1.785744260266452e-05, + "loss": 0.9103, + "step": 10014 + }, + { + "epoch": 0.24, + "grad_norm": 1.5853617555253126, + "learning_rate": 1.7856970599598716e-05, + "loss": 0.8626, + "step": 10015 + }, + { + "epoch": 0.24, + "grad_norm": 1.5346639698667066, + "learning_rate": 1.7856498550787144e-05, + "loss": 0.9305, + "step": 10016 + }, + { + "epoch": 0.24, + "grad_norm": 1.7505202565471658, + "learning_rate": 1.7856026456232553e-05, + "loss": 0.9303, + "step": 10017 + }, + { + "epoch": 0.24, + "grad_norm": 2.121540466528076, + "learning_rate": 1.7855554315937685e-05, + "loss": 0.8876, + "step": 10018 + }, + { + "epoch": 0.24, + "grad_norm": 2.544488806485582, + "learning_rate": 1.785508212990529e-05, + "loss": 1.0171, + "step": 10019 + }, + { + "epoch": 0.24, + "grad_norm": 2.4647944761140685, + "learning_rate": 1.7854609898138126e-05, + "loss": 1.064, + "step": 10020 + }, + { + "epoch": 0.24, + "grad_norm": 1.5550053153490282, + "learning_rate": 1.7854137620638933e-05, + "loss": 1.0674, + "step": 10021 + }, + { + "epoch": 0.24, + "grad_norm": 1.729856347996126, + "learning_rate": 1.7853665297410465e-05, + "loss": 0.9441, + "step": 10022 + }, + { + "epoch": 0.24, + "grad_norm": 2.292814221502987, + "learning_rate": 1.7853192928455475e-05, + "loss": 0.9125, + "step": 10023 + }, + { + "epoch": 0.24, + "grad_norm": 2.0902748367965334, + "learning_rate": 1.78527205137767e-05, + "loss": 0.9122, + "step": 10024 + }, + { + "epoch": 0.24, + "grad_norm": 2.6107737329680054, + "learning_rate": 1.785224805337691e-05, + "loss": 0.8488, + "step": 10025 + }, + { + "epoch": 0.24, + "grad_norm": 1.7911138190754885, + "learning_rate": 1.785177554725884e-05, + "loss": 0.8403, + "step": 10026 + }, + { + "epoch": 0.24, + "grad_norm": 1.5559755265036226, + "learning_rate": 1.7851302995425247e-05, + "loss": 0.9303, + "step": 10027 + }, + { + "epoch": 0.24, + "grad_norm": 1.89236352883873, + "learning_rate": 1.7850830397878888e-05, + "loss": 0.9713, + "step": 10028 + }, + { + "epoch": 0.24, + "grad_norm": 0.7433499853705793, + "learning_rate": 1.7850357754622503e-05, + "loss": 0.7484, + "step": 10029 + }, + { + "epoch": 0.24, + "grad_norm": 1.702638575398631, + "learning_rate": 1.7849885065658852e-05, + "loss": 0.9434, + "step": 10030 + }, + { + "epoch": 0.24, + "grad_norm": 0.7795453693279965, + "learning_rate": 1.7849412330990686e-05, + "loss": 0.7563, + "step": 10031 + }, + { + "epoch": 0.24, + "grad_norm": 1.7129060592202037, + "learning_rate": 1.7848939550620755e-05, + "loss": 0.7578, + "step": 10032 + }, + { + "epoch": 0.24, + "grad_norm": 2.085591527485076, + "learning_rate": 1.784846672455181e-05, + "loss": 0.907, + "step": 10033 + }, + { + "epoch": 0.24, + "grad_norm": 1.5966451910758948, + "learning_rate": 1.7847993852786612e-05, + "loss": 1.0053, + "step": 10034 + }, + { + "epoch": 0.24, + "grad_norm": 1.8911677548939647, + "learning_rate": 1.7847520935327905e-05, + "loss": 0.9726, + "step": 10035 + }, + { + "epoch": 0.24, + "grad_norm": 1.5788171725859412, + "learning_rate": 1.784704797217845e-05, + "loss": 0.8616, + "step": 10036 + }, + { + "epoch": 0.24, + "grad_norm": 1.5850127414630073, + "learning_rate": 1.7846574963340995e-05, + "loss": 0.8905, + "step": 10037 + }, + { + "epoch": 0.24, + "grad_norm": 1.584952577531729, + "learning_rate": 1.78461019088183e-05, + "loss": 0.9561, + "step": 10038 + }, + { + "epoch": 0.24, + "grad_norm": 1.6546049594343484, + "learning_rate": 1.7845628808613112e-05, + "loss": 0.8618, + "step": 10039 + }, + { + "epoch": 0.24, + "grad_norm": 1.600205363165436, + "learning_rate": 1.784515566272819e-05, + "loss": 0.9172, + "step": 10040 + }, + { + "epoch": 0.24, + "grad_norm": 1.5964979649623197, + "learning_rate": 1.7844682471166288e-05, + "loss": 0.9604, + "step": 10041 + }, + { + "epoch": 0.24, + "grad_norm": 2.0067819923235724, + "learning_rate": 1.784420923393016e-05, + "loss": 0.8769, + "step": 10042 + }, + { + "epoch": 0.24, + "grad_norm": 1.7364132399054095, + "learning_rate": 1.7843735951022565e-05, + "loss": 0.959, + "step": 10043 + }, + { + "epoch": 0.24, + "grad_norm": 1.6202201762383823, + "learning_rate": 1.7843262622446253e-05, + "loss": 0.8959, + "step": 10044 + }, + { + "epoch": 0.24, + "grad_norm": 1.6198663333568286, + "learning_rate": 1.7842789248203985e-05, + "loss": 1.0043, + "step": 10045 + }, + { + "epoch": 0.24, + "grad_norm": 1.6645637033959098, + "learning_rate": 1.7842315828298514e-05, + "loss": 0.7374, + "step": 10046 + }, + { + "epoch": 0.24, + "grad_norm": 2.9016611819443914, + "learning_rate": 1.78418423627326e-05, + "loss": 0.8931, + "step": 10047 + }, + { + "epoch": 0.24, + "grad_norm": 2.1064593526215787, + "learning_rate": 1.7841368851508995e-05, + "loss": 0.9142, + "step": 10048 + }, + { + "epoch": 0.24, + "grad_norm": 1.8933701998547352, + "learning_rate": 1.7840895294630457e-05, + "loss": 0.9001, + "step": 10049 + }, + { + "epoch": 0.24, + "grad_norm": 1.8829682276359196, + "learning_rate": 1.7840421692099746e-05, + "loss": 0.8454, + "step": 10050 + }, + { + "epoch": 0.24, + "grad_norm": 1.7438377479692149, + "learning_rate": 1.7839948043919617e-05, + "loss": 0.8601, + "step": 10051 + }, + { + "epoch": 0.24, + "grad_norm": 2.0196000554152813, + "learning_rate": 1.783947435009283e-05, + "loss": 0.872, + "step": 10052 + }, + { + "epoch": 0.24, + "grad_norm": 1.7066856751307236, + "learning_rate": 1.7839000610622138e-05, + "loss": 0.9253, + "step": 10053 + }, + { + "epoch": 0.24, + "grad_norm": 1.446318693955384, + "learning_rate": 1.7838526825510304e-05, + "loss": 0.9345, + "step": 10054 + }, + { + "epoch": 0.24, + "grad_norm": 1.4515940307183404, + "learning_rate": 1.7838052994760087e-05, + "loss": 0.8013, + "step": 10055 + }, + { + "epoch": 0.24, + "grad_norm": 1.7058939163888516, + "learning_rate": 1.783757911837424e-05, + "loss": 0.8951, + "step": 10056 + }, + { + "epoch": 0.24, + "grad_norm": 1.5310232639083854, + "learning_rate": 1.783710519635553e-05, + "loss": 0.8384, + "step": 10057 + }, + { + "epoch": 0.24, + "grad_norm": 1.6823350777255925, + "learning_rate": 1.783663122870671e-05, + "loss": 0.8843, + "step": 10058 + }, + { + "epoch": 0.24, + "grad_norm": 1.8640917563524468, + "learning_rate": 1.7836157215430544e-05, + "loss": 0.9208, + "step": 10059 + }, + { + "epoch": 0.24, + "grad_norm": 1.6218436566413394, + "learning_rate": 1.7835683156529787e-05, + "loss": 0.8031, + "step": 10060 + }, + { + "epoch": 0.24, + "grad_norm": 1.727804999168879, + "learning_rate": 1.7835209052007206e-05, + "loss": 1.1091, + "step": 10061 + }, + { + "epoch": 0.24, + "grad_norm": 1.6310139751609276, + "learning_rate": 1.7834734901865554e-05, + "loss": 1.0055, + "step": 10062 + }, + { + "epoch": 0.24, + "grad_norm": 1.8597216832031178, + "learning_rate": 1.7834260706107597e-05, + "loss": 0.8502, + "step": 10063 + }, + { + "epoch": 0.24, + "grad_norm": 1.8482737868114998, + "learning_rate": 1.7833786464736092e-05, + "loss": 0.908, + "step": 10064 + }, + { + "epoch": 0.24, + "grad_norm": 1.7161980313222476, + "learning_rate": 1.7833312177753805e-05, + "loss": 0.9266, + "step": 10065 + }, + { + "epoch": 0.24, + "grad_norm": 1.6615631862067668, + "learning_rate": 1.7832837845163492e-05, + "loss": 0.973, + "step": 10066 + }, + { + "epoch": 0.24, + "grad_norm": 2.3936934088527066, + "learning_rate": 1.7832363466967913e-05, + "loss": 0.9335, + "step": 10067 + }, + { + "epoch": 0.24, + "grad_norm": 1.7246165888682423, + "learning_rate": 1.783188904316984e-05, + "loss": 0.9308, + "step": 10068 + }, + { + "epoch": 0.24, + "grad_norm": 1.547280634804794, + "learning_rate": 1.783141457377203e-05, + "loss": 0.8935, + "step": 10069 + }, + { + "epoch": 0.24, + "grad_norm": 1.4208207276730587, + "learning_rate": 1.7830940058777244e-05, + "loss": 0.9818, + "step": 10070 + }, + { + "epoch": 0.24, + "grad_norm": 2.1004098729642537, + "learning_rate": 1.7830465498188244e-05, + "loss": 0.8443, + "step": 10071 + }, + { + "epoch": 0.24, + "grad_norm": 1.997805615120836, + "learning_rate": 1.7829990892007794e-05, + "loss": 0.8497, + "step": 10072 + }, + { + "epoch": 0.24, + "grad_norm": 1.6358559415890674, + "learning_rate": 1.7829516240238662e-05, + "loss": 0.9702, + "step": 10073 + }, + { + "epoch": 0.24, + "grad_norm": 1.5271063992770926, + "learning_rate": 1.7829041542883606e-05, + "loss": 0.9733, + "step": 10074 + }, + { + "epoch": 0.24, + "grad_norm": 1.4138451616345085, + "learning_rate": 1.7828566799945394e-05, + "loss": 0.9334, + "step": 10075 + }, + { + "epoch": 0.24, + "grad_norm": 1.7651781322803592, + "learning_rate": 1.782809201142678e-05, + "loss": 0.9692, + "step": 10076 + }, + { + "epoch": 0.24, + "grad_norm": 1.8599421707761994, + "learning_rate": 1.7827617177330544e-05, + "loss": 0.8435, + "step": 10077 + }, + { + "epoch": 0.24, + "grad_norm": 1.6788881835838028, + "learning_rate": 1.7827142297659435e-05, + "loss": 0.8483, + "step": 10078 + }, + { + "epoch": 0.24, + "grad_norm": 1.6655404509712495, + "learning_rate": 1.7826667372416233e-05, + "loss": 0.9053, + "step": 10079 + }, + { + "epoch": 0.24, + "grad_norm": 1.4665792395976627, + "learning_rate": 1.782619240160369e-05, + "loss": 0.9141, + "step": 10080 + }, + { + "epoch": 0.24, + "grad_norm": 1.951216463537964, + "learning_rate": 1.782571738522458e-05, + "loss": 0.813, + "step": 10081 + }, + { + "epoch": 0.24, + "grad_norm": 2.7198299699700055, + "learning_rate": 1.7825242323281666e-05, + "loss": 0.9499, + "step": 10082 + }, + { + "epoch": 0.24, + "grad_norm": 1.9605638793980817, + "learning_rate": 1.7824767215777715e-05, + "loss": 0.863, + "step": 10083 + }, + { + "epoch": 0.24, + "grad_norm": 1.6915603432188135, + "learning_rate": 1.7824292062715488e-05, + "loss": 0.925, + "step": 10084 + }, + { + "epoch": 0.24, + "grad_norm": 1.639199103738421, + "learning_rate": 1.7823816864097758e-05, + "loss": 0.7144, + "step": 10085 + }, + { + "epoch": 0.24, + "grad_norm": 2.1788644717181964, + "learning_rate": 1.7823341619927288e-05, + "loss": 0.7947, + "step": 10086 + }, + { + "epoch": 0.24, + "grad_norm": 1.7574610808552127, + "learning_rate": 1.782286633020685e-05, + "loss": 0.8795, + "step": 10087 + }, + { + "epoch": 0.24, + "grad_norm": 2.023788261573193, + "learning_rate": 1.7822390994939205e-05, + "loss": 0.8911, + "step": 10088 + }, + { + "epoch": 0.24, + "grad_norm": 1.8798620079487027, + "learning_rate": 1.782191561412712e-05, + "loss": 0.9026, + "step": 10089 + }, + { + "epoch": 0.24, + "grad_norm": 1.5026474759231931, + "learning_rate": 1.782144018777337e-05, + "loss": 0.9563, + "step": 10090 + }, + { + "epoch": 0.24, + "grad_norm": 3.890454462257044, + "learning_rate": 1.7820964715880716e-05, + "loss": 1.0038, + "step": 10091 + }, + { + "epoch": 0.24, + "grad_norm": 1.6711079778495823, + "learning_rate": 1.7820489198451932e-05, + "loss": 0.886, + "step": 10092 + }, + { + "epoch": 0.24, + "grad_norm": 2.772001215106189, + "learning_rate": 1.7820013635489783e-05, + "loss": 0.8942, + "step": 10093 + }, + { + "epoch": 0.24, + "grad_norm": 1.6910741688720714, + "learning_rate": 1.781953802699704e-05, + "loss": 0.8276, + "step": 10094 + }, + { + "epoch": 0.24, + "grad_norm": 1.569873496649646, + "learning_rate": 1.7819062372976467e-05, + "loss": 0.8416, + "step": 10095 + }, + { + "epoch": 0.24, + "grad_norm": 2.259746203332904, + "learning_rate": 1.7818586673430842e-05, + "loss": 0.9211, + "step": 10096 + }, + { + "epoch": 0.24, + "grad_norm": 1.880521899031333, + "learning_rate": 1.781811092836293e-05, + "loss": 0.9921, + "step": 10097 + }, + { + "epoch": 0.24, + "grad_norm": 1.581791022301474, + "learning_rate": 1.78176351377755e-05, + "loss": 0.996, + "step": 10098 + }, + { + "epoch": 0.24, + "grad_norm": 0.8415909007999873, + "learning_rate": 1.781715930167132e-05, + "loss": 0.7161, + "step": 10099 + }, + { + "epoch": 0.24, + "grad_norm": 1.948502545569472, + "learning_rate": 1.7816683420053164e-05, + "loss": 0.8874, + "step": 10100 + }, + { + "epoch": 0.24, + "grad_norm": 1.4997770280631044, + "learning_rate": 1.7816207492923807e-05, + "loss": 0.9444, + "step": 10101 + }, + { + "epoch": 0.24, + "grad_norm": 1.5502215660728085, + "learning_rate": 1.781573152028601e-05, + "loss": 0.9068, + "step": 10102 + }, + { + "epoch": 0.24, + "grad_norm": 2.247834699949738, + "learning_rate": 1.7815255502142553e-05, + "loss": 1.0594, + "step": 10103 + }, + { + "epoch": 0.24, + "grad_norm": 1.6989117537568037, + "learning_rate": 1.7814779438496207e-05, + "loss": 0.9659, + "step": 10104 + }, + { + "epoch": 0.24, + "grad_norm": 1.7349449982328844, + "learning_rate": 1.781430332934974e-05, + "loss": 0.7758, + "step": 10105 + }, + { + "epoch": 0.24, + "grad_norm": 1.5876906709206349, + "learning_rate": 1.781382717470592e-05, + "loss": 0.7234, + "step": 10106 + }, + { + "epoch": 0.24, + "grad_norm": 1.8643071507392799, + "learning_rate": 1.7813350974567528e-05, + "loss": 0.8831, + "step": 10107 + }, + { + "epoch": 0.24, + "grad_norm": 2.398960725841143, + "learning_rate": 1.781287472893733e-05, + "loss": 0.9053, + "step": 10108 + }, + { + "epoch": 0.24, + "grad_norm": 1.601221995421083, + "learning_rate": 1.7812398437818107e-05, + "loss": 1.0033, + "step": 10109 + }, + { + "epoch": 0.24, + "grad_norm": 1.7927540076091018, + "learning_rate": 1.7811922101212622e-05, + "loss": 0.9327, + "step": 10110 + }, + { + "epoch": 0.24, + "grad_norm": 1.6388189952150567, + "learning_rate": 1.7811445719123654e-05, + "loss": 0.9363, + "step": 10111 + }, + { + "epoch": 0.24, + "grad_norm": 2.488722328040009, + "learning_rate": 1.781096929155398e-05, + "loss": 0.7493, + "step": 10112 + }, + { + "epoch": 0.24, + "grad_norm": 1.5982996745552829, + "learning_rate": 1.7810492818506365e-05, + "loss": 0.8895, + "step": 10113 + }, + { + "epoch": 0.24, + "grad_norm": 1.6251072196486784, + "learning_rate": 1.7810016299983594e-05, + "loss": 0.815, + "step": 10114 + }, + { + "epoch": 0.24, + "grad_norm": 1.6142125826503329, + "learning_rate": 1.780953973598843e-05, + "loss": 0.9669, + "step": 10115 + }, + { + "epoch": 0.24, + "grad_norm": 1.7631883180431394, + "learning_rate": 1.7809063126523653e-05, + "loss": 0.8705, + "step": 10116 + }, + { + "epoch": 0.24, + "grad_norm": 2.0102040834028765, + "learning_rate": 1.780858647159204e-05, + "loss": 0.8719, + "step": 10117 + }, + { + "epoch": 0.24, + "grad_norm": 0.7702308238388821, + "learning_rate": 1.7808109771196364e-05, + "loss": 0.7286, + "step": 10118 + }, + { + "epoch": 0.24, + "grad_norm": 1.4376893204927375, + "learning_rate": 1.7807633025339403e-05, + "loss": 0.938, + "step": 10119 + }, + { + "epoch": 0.24, + "grad_norm": 2.0724524729103266, + "learning_rate": 1.780715623402393e-05, + "loss": 0.9642, + "step": 10120 + }, + { + "epoch": 0.24, + "grad_norm": 1.5376198994674255, + "learning_rate": 1.780667939725272e-05, + "loss": 0.829, + "step": 10121 + }, + { + "epoch": 0.24, + "grad_norm": 1.6652217005518695, + "learning_rate": 1.780620251502855e-05, + "loss": 0.7468, + "step": 10122 + }, + { + "epoch": 0.24, + "grad_norm": 1.8843554350283966, + "learning_rate": 1.78057255873542e-05, + "loss": 0.8264, + "step": 10123 + }, + { + "epoch": 0.24, + "grad_norm": 1.8293668408638224, + "learning_rate": 1.780524861423244e-05, + "loss": 0.9077, + "step": 10124 + }, + { + "epoch": 0.24, + "grad_norm": 1.7811357604730418, + "learning_rate": 1.7804771595666057e-05, + "loss": 0.9713, + "step": 10125 + }, + { + "epoch": 0.24, + "grad_norm": 1.8190277418809049, + "learning_rate": 1.7804294531657822e-05, + "loss": 0.9302, + "step": 10126 + }, + { + "epoch": 0.24, + "grad_norm": 1.5341275763721633, + "learning_rate": 1.7803817422210512e-05, + "loss": 0.9155, + "step": 10127 + }, + { + "epoch": 0.24, + "grad_norm": 1.7116810726766434, + "learning_rate": 1.7803340267326907e-05, + "loss": 0.9196, + "step": 10128 + }, + { + "epoch": 0.24, + "grad_norm": 1.4639757158210847, + "learning_rate": 1.7802863067009783e-05, + "loss": 0.8442, + "step": 10129 + }, + { + "epoch": 0.24, + "grad_norm": 1.8263624708905966, + "learning_rate": 1.7802385821261922e-05, + "loss": 0.7944, + "step": 10130 + }, + { + "epoch": 0.24, + "grad_norm": 1.6791668251243008, + "learning_rate": 1.78019085300861e-05, + "loss": 0.9951, + "step": 10131 + }, + { + "epoch": 0.24, + "grad_norm": 1.595515599902624, + "learning_rate": 1.7801431193485097e-05, + "loss": 0.9683, + "step": 10132 + }, + { + "epoch": 0.24, + "grad_norm": 1.6517037286871308, + "learning_rate": 1.780095381146169e-05, + "loss": 0.9731, + "step": 10133 + }, + { + "epoch": 0.24, + "grad_norm": 1.7578687733013891, + "learning_rate": 1.7800476384018658e-05, + "loss": 0.9744, + "step": 10134 + }, + { + "epoch": 0.24, + "grad_norm": 1.5016770649587388, + "learning_rate": 1.7799998911158786e-05, + "loss": 0.8105, + "step": 10135 + }, + { + "epoch": 0.24, + "grad_norm": 1.8143709392728327, + "learning_rate": 1.7799521392884854e-05, + "loss": 0.8591, + "step": 10136 + }, + { + "epoch": 0.24, + "grad_norm": 1.6429423460561101, + "learning_rate": 1.7799043829199635e-05, + "loss": 0.9561, + "step": 10137 + }, + { + "epoch": 0.24, + "grad_norm": 1.859710589680409, + "learning_rate": 1.7798566220105912e-05, + "loss": 0.8847, + "step": 10138 + }, + { + "epoch": 0.24, + "grad_norm": 1.6251649019959153, + "learning_rate": 1.7798088565606473e-05, + "loss": 0.9355, + "step": 10139 + }, + { + "epoch": 0.24, + "grad_norm": 2.0195356586060464, + "learning_rate": 1.779761086570409e-05, + "loss": 0.8105, + "step": 10140 + }, + { + "epoch": 0.24, + "grad_norm": 1.6874259546434933, + "learning_rate": 1.779713312040155e-05, + "loss": 0.8712, + "step": 10141 + }, + { + "epoch": 0.24, + "grad_norm": 0.757056785882247, + "learning_rate": 1.7796655329701627e-05, + "loss": 0.8008, + "step": 10142 + }, + { + "epoch": 0.24, + "grad_norm": 1.678610773257777, + "learning_rate": 1.7796177493607113e-05, + "loss": 1.0555, + "step": 10143 + }, + { + "epoch": 0.24, + "grad_norm": 0.8216941110513827, + "learning_rate": 1.7795699612120784e-05, + "loss": 0.7555, + "step": 10144 + }, + { + "epoch": 0.24, + "grad_norm": 1.7670266120878282, + "learning_rate": 1.7795221685245425e-05, + "loss": 0.9233, + "step": 10145 + }, + { + "epoch": 0.24, + "grad_norm": 1.624885853472311, + "learning_rate": 1.779474371298382e-05, + "loss": 0.9248, + "step": 10146 + }, + { + "epoch": 0.24, + "grad_norm": 1.811977667393501, + "learning_rate": 1.7794265695338743e-05, + "loss": 0.8294, + "step": 10147 + }, + { + "epoch": 0.24, + "grad_norm": 1.8468530603214959, + "learning_rate": 1.779378763231299e-05, + "loss": 0.8469, + "step": 10148 + }, + { + "epoch": 0.24, + "grad_norm": 1.9713771490771916, + "learning_rate": 1.779330952390933e-05, + "loss": 0.9448, + "step": 10149 + }, + { + "epoch": 0.24, + "grad_norm": 1.8149280225766018, + "learning_rate": 1.779283137013056e-05, + "loss": 0.9449, + "step": 10150 + }, + { + "epoch": 0.24, + "grad_norm": 1.8389422009002747, + "learning_rate": 1.779235317097946e-05, + "loss": 0.7914, + "step": 10151 + }, + { + "epoch": 0.24, + "grad_norm": 1.6454763832543258, + "learning_rate": 1.779187492645881e-05, + "loss": 0.7539, + "step": 10152 + }, + { + "epoch": 0.24, + "grad_norm": 1.8992105766654628, + "learning_rate": 1.77913966365714e-05, + "loss": 0.9435, + "step": 10153 + }, + { + "epoch": 0.24, + "grad_norm": 1.5716578344676069, + "learning_rate": 1.779091830132001e-05, + "loss": 0.8782, + "step": 10154 + }, + { + "epoch": 0.24, + "grad_norm": 1.6176005825126063, + "learning_rate": 1.7790439920707424e-05, + "loss": 0.9311, + "step": 10155 + }, + { + "epoch": 0.24, + "grad_norm": 1.7502342425677224, + "learning_rate": 1.7789961494736438e-05, + "loss": 0.9186, + "step": 10156 + }, + { + "epoch": 0.24, + "grad_norm": 1.9005370976932676, + "learning_rate": 1.7789483023409822e-05, + "loss": 0.871, + "step": 10157 + }, + { + "epoch": 0.24, + "grad_norm": 1.4670014162999208, + "learning_rate": 1.7789004506730376e-05, + "loss": 0.8335, + "step": 10158 + }, + { + "epoch": 0.24, + "grad_norm": 1.747328349888087, + "learning_rate": 1.7788525944700873e-05, + "loss": 0.9156, + "step": 10159 + }, + { + "epoch": 0.24, + "grad_norm": 1.7803331523257266, + "learning_rate": 1.778804733732411e-05, + "loss": 0.8215, + "step": 10160 + }, + { + "epoch": 0.24, + "grad_norm": 0.7916744333890948, + "learning_rate": 1.778756868460287e-05, + "loss": 0.7666, + "step": 10161 + }, + { + "epoch": 0.24, + "grad_norm": 1.5424671121573277, + "learning_rate": 1.778708998653994e-05, + "loss": 0.7357, + "step": 10162 + }, + { + "epoch": 0.24, + "grad_norm": 1.5973525908192823, + "learning_rate": 1.7786611243138104e-05, + "loss": 0.9344, + "step": 10163 + }, + { + "epoch": 0.24, + "grad_norm": 1.7050602992433892, + "learning_rate": 1.7786132454400155e-05, + "loss": 0.8516, + "step": 10164 + }, + { + "epoch": 0.24, + "grad_norm": 1.8730114476592126, + "learning_rate": 1.778565362032888e-05, + "loss": 0.8443, + "step": 10165 + }, + { + "epoch": 0.24, + "grad_norm": 1.9444032996555178, + "learning_rate": 1.778517474092706e-05, + "loss": 0.8795, + "step": 10166 + }, + { + "epoch": 0.24, + "grad_norm": 1.5226048390219447, + "learning_rate": 1.778469581619749e-05, + "loss": 0.8962, + "step": 10167 + }, + { + "epoch": 0.24, + "grad_norm": 1.705999749471544, + "learning_rate": 1.7784216846142955e-05, + "loss": 0.8208, + "step": 10168 + }, + { + "epoch": 0.24, + "grad_norm": 2.051721555647313, + "learning_rate": 1.7783737830766247e-05, + "loss": 0.8868, + "step": 10169 + }, + { + "epoch": 0.24, + "grad_norm": 2.010188085255848, + "learning_rate": 1.7783258770070153e-05, + "loss": 0.9282, + "step": 10170 + }, + { + "epoch": 0.24, + "grad_norm": 1.903919826831854, + "learning_rate": 1.778277966405746e-05, + "loss": 0.9303, + "step": 10171 + }, + { + "epoch": 0.24, + "grad_norm": 1.8272118747913415, + "learning_rate": 1.7782300512730965e-05, + "loss": 1.0412, + "step": 10172 + }, + { + "epoch": 0.24, + "grad_norm": 0.7808147393629877, + "learning_rate": 1.7781821316093445e-05, + "loss": 0.7918, + "step": 10173 + }, + { + "epoch": 0.24, + "grad_norm": 1.389743635967409, + "learning_rate": 1.7781342074147706e-05, + "loss": 0.9816, + "step": 10174 + }, + { + "epoch": 0.24, + "grad_norm": 1.5897162742240178, + "learning_rate": 1.7780862786896526e-05, + "loss": 0.9618, + "step": 10175 + }, + { + "epoch": 0.24, + "grad_norm": 1.5666908549963412, + "learning_rate": 1.7780383454342696e-05, + "loss": 0.9015, + "step": 10176 + }, + { + "epoch": 0.24, + "grad_norm": 2.043451252169168, + "learning_rate": 1.7779904076489013e-05, + "loss": 0.9372, + "step": 10177 + }, + { + "epoch": 0.24, + "grad_norm": 1.8500564790657765, + "learning_rate": 1.7779424653338268e-05, + "loss": 0.9648, + "step": 10178 + }, + { + "epoch": 0.24, + "grad_norm": 1.613237641162368, + "learning_rate": 1.7778945184893245e-05, + "loss": 0.8712, + "step": 10179 + }, + { + "epoch": 0.24, + "grad_norm": 1.7433943211053948, + "learning_rate": 1.7778465671156744e-05, + "loss": 0.9283, + "step": 10180 + }, + { + "epoch": 0.24, + "grad_norm": 0.7525643904418223, + "learning_rate": 1.777798611213155e-05, + "loss": 0.696, + "step": 10181 + }, + { + "epoch": 0.24, + "grad_norm": 1.6421554980614474, + "learning_rate": 1.777750650782046e-05, + "loss": 0.9092, + "step": 10182 + }, + { + "epoch": 0.24, + "grad_norm": 1.516680443895265, + "learning_rate": 1.7777026858226265e-05, + "loss": 1.0029, + "step": 10183 + }, + { + "epoch": 0.24, + "grad_norm": 1.6739582925880379, + "learning_rate": 1.7776547163351758e-05, + "loss": 0.9407, + "step": 10184 + }, + { + "epoch": 0.24, + "grad_norm": 1.7891808031908785, + "learning_rate": 1.777606742319973e-05, + "loss": 0.9949, + "step": 10185 + }, + { + "epoch": 0.24, + "grad_norm": 1.6823868410856662, + "learning_rate": 1.777558763777298e-05, + "loss": 0.9061, + "step": 10186 + }, + { + "epoch": 0.24, + "grad_norm": 1.628308520971308, + "learning_rate": 1.777510780707429e-05, + "loss": 0.9794, + "step": 10187 + }, + { + "epoch": 0.24, + "grad_norm": 1.393848903938817, + "learning_rate": 1.7774627931106464e-05, + "loss": 0.9851, + "step": 10188 + }, + { + "epoch": 0.24, + "grad_norm": 1.7320050593369023, + "learning_rate": 1.7774148009872295e-05, + "loss": 0.9162, + "step": 10189 + }, + { + "epoch": 0.24, + "grad_norm": 1.513980452536214, + "learning_rate": 1.7773668043374573e-05, + "loss": 0.8433, + "step": 10190 + }, + { + "epoch": 0.24, + "grad_norm": 1.601357993274315, + "learning_rate": 1.7773188031616096e-05, + "loss": 0.8704, + "step": 10191 + }, + { + "epoch": 0.24, + "grad_norm": 1.6061273904657416, + "learning_rate": 1.7772707974599656e-05, + "loss": 0.9053, + "step": 10192 + }, + { + "epoch": 0.24, + "grad_norm": 2.221501001702175, + "learning_rate": 1.777222787232805e-05, + "loss": 0.8941, + "step": 10193 + }, + { + "epoch": 0.24, + "grad_norm": 1.6271264949412751, + "learning_rate": 1.7771747724804073e-05, + "loss": 0.9592, + "step": 10194 + }, + { + "epoch": 0.24, + "grad_norm": 2.056732130952754, + "learning_rate": 1.777126753203052e-05, + "loss": 0.7954, + "step": 10195 + }, + { + "epoch": 0.24, + "grad_norm": 2.5799323132543663, + "learning_rate": 1.7770787294010185e-05, + "loss": 0.9002, + "step": 10196 + }, + { + "epoch": 0.24, + "grad_norm": 1.70351161332933, + "learning_rate": 1.7770307010745867e-05, + "loss": 0.8455, + "step": 10197 + }, + { + "epoch": 0.24, + "grad_norm": 1.6429715089827526, + "learning_rate": 1.7769826682240365e-05, + "loss": 0.9635, + "step": 10198 + }, + { + "epoch": 0.24, + "grad_norm": 1.8327675821641944, + "learning_rate": 1.7769346308496466e-05, + "loss": 0.9434, + "step": 10199 + }, + { + "epoch": 0.24, + "grad_norm": 1.765795613777686, + "learning_rate": 1.776886588951698e-05, + "loss": 0.9372, + "step": 10200 + }, + { + "epoch": 0.24, + "grad_norm": 1.7290009421072963, + "learning_rate": 1.7768385425304692e-05, + "loss": 0.9273, + "step": 10201 + }, + { + "epoch": 0.24, + "grad_norm": 1.6592533323858787, + "learning_rate": 1.7767904915862405e-05, + "loss": 0.8062, + "step": 10202 + }, + { + "epoch": 0.24, + "grad_norm": 1.8453412564235325, + "learning_rate": 1.776742436119292e-05, + "loss": 0.9009, + "step": 10203 + }, + { + "epoch": 0.24, + "grad_norm": 0.8082075244013833, + "learning_rate": 1.776694376129903e-05, + "loss": 0.7703, + "step": 10204 + }, + { + "epoch": 0.24, + "grad_norm": 1.6550172234393223, + "learning_rate": 1.776646311618353e-05, + "loss": 0.8656, + "step": 10205 + }, + { + "epoch": 0.24, + "grad_norm": 2.1906157665461548, + "learning_rate": 1.776598242584923e-05, + "loss": 0.8708, + "step": 10206 + }, + { + "epoch": 0.24, + "grad_norm": 1.6520355484219824, + "learning_rate": 1.7765501690298913e-05, + "loss": 0.9707, + "step": 10207 + }, + { + "epoch": 0.24, + "grad_norm": 1.8015528583807534, + "learning_rate": 1.7765020909535395e-05, + "loss": 0.9921, + "step": 10208 + }, + { + "epoch": 0.24, + "grad_norm": 1.8906752433078489, + "learning_rate": 1.7764540083561462e-05, + "loss": 0.8562, + "step": 10209 + }, + { + "epoch": 0.24, + "grad_norm": 1.7558470311264023, + "learning_rate": 1.776405921237992e-05, + "loss": 1.1027, + "step": 10210 + }, + { + "epoch": 0.24, + "grad_norm": 1.6570842592398685, + "learning_rate": 1.776357829599357e-05, + "loss": 0.8385, + "step": 10211 + }, + { + "epoch": 0.24, + "grad_norm": 1.8266759900811718, + "learning_rate": 1.7763097334405204e-05, + "loss": 0.9848, + "step": 10212 + }, + { + "epoch": 0.24, + "grad_norm": 1.6515215739724953, + "learning_rate": 1.776261632761763e-05, + "loss": 0.8219, + "step": 10213 + }, + { + "epoch": 0.24, + "grad_norm": 0.765360704012878, + "learning_rate": 1.7762135275633645e-05, + "loss": 0.8047, + "step": 10214 + }, + { + "epoch": 0.24, + "grad_norm": 1.9417762014091975, + "learning_rate": 1.7761654178456053e-05, + "loss": 0.8164, + "step": 10215 + }, + { + "epoch": 0.24, + "grad_norm": 1.811534289593593, + "learning_rate": 1.776117303608765e-05, + "loss": 0.9547, + "step": 10216 + }, + { + "epoch": 0.24, + "grad_norm": 1.6513368871250593, + "learning_rate": 1.7760691848531246e-05, + "loss": 1.0282, + "step": 10217 + }, + { + "epoch": 0.24, + "grad_norm": 1.9423796745481599, + "learning_rate": 1.7760210615789633e-05, + "loss": 0.9558, + "step": 10218 + }, + { + "epoch": 0.24, + "grad_norm": 2.0310278950761544, + "learning_rate": 1.7759729337865618e-05, + "loss": 0.8663, + "step": 10219 + }, + { + "epoch": 0.24, + "grad_norm": 0.8232622394461475, + "learning_rate": 1.7759248014762e-05, + "loss": 0.7163, + "step": 10220 + }, + { + "epoch": 0.24, + "grad_norm": 1.8548753941288592, + "learning_rate": 1.7758766646481587e-05, + "loss": 0.9002, + "step": 10221 + }, + { + "epoch": 0.24, + "grad_norm": 1.5289470555803082, + "learning_rate": 1.7758285233027174e-05, + "loss": 0.958, + "step": 10222 + }, + { + "epoch": 0.24, + "grad_norm": 1.640234742410995, + "learning_rate": 1.7757803774401572e-05, + "loss": 0.833, + "step": 10223 + }, + { + "epoch": 0.24, + "grad_norm": 1.6734361345876771, + "learning_rate": 1.775732227060758e-05, + "loss": 0.8398, + "step": 10224 + }, + { + "epoch": 0.24, + "grad_norm": 0.7988350874006022, + "learning_rate": 1.7756840721648e-05, + "loss": 0.7116, + "step": 10225 + }, + { + "epoch": 0.24, + "grad_norm": 1.4827292581118683, + "learning_rate": 1.7756359127525638e-05, + "loss": 0.9823, + "step": 10226 + }, + { + "epoch": 0.24, + "grad_norm": 1.5350987823687245, + "learning_rate": 1.7755877488243297e-05, + "loss": 0.9599, + "step": 10227 + }, + { + "epoch": 0.24, + "grad_norm": 1.5910473712402502, + "learning_rate": 1.7755395803803783e-05, + "loss": 0.8692, + "step": 10228 + }, + { + "epoch": 0.24, + "grad_norm": 1.8676980910495857, + "learning_rate": 1.7754914074209898e-05, + "loss": 0.8268, + "step": 10229 + }, + { + "epoch": 0.24, + "grad_norm": 1.7968653984111318, + "learning_rate": 1.7754432299464448e-05, + "loss": 0.851, + "step": 10230 + }, + { + "epoch": 0.24, + "grad_norm": 1.4989067404790732, + "learning_rate": 1.775395047957024e-05, + "loss": 0.929, + "step": 10231 + }, + { + "epoch": 0.24, + "grad_norm": 1.5707692374586104, + "learning_rate": 1.7753468614530075e-05, + "loss": 0.7857, + "step": 10232 + }, + { + "epoch": 0.24, + "grad_norm": 0.8314232714533318, + "learning_rate": 1.7752986704346764e-05, + "loss": 0.7442, + "step": 10233 + }, + { + "epoch": 0.24, + "grad_norm": 0.7663710212214853, + "learning_rate": 1.7752504749023108e-05, + "loss": 0.6831, + "step": 10234 + }, + { + "epoch": 0.24, + "grad_norm": 2.5380289852765503, + "learning_rate": 1.7752022748561917e-05, + "loss": 0.9032, + "step": 10235 + }, + { + "epoch": 0.24, + "grad_norm": 1.733620446135317, + "learning_rate": 1.7751540702965993e-05, + "loss": 0.9037, + "step": 10236 + }, + { + "epoch": 0.24, + "grad_norm": 0.7736885218932713, + "learning_rate": 1.7751058612238147e-05, + "loss": 0.758, + "step": 10237 + }, + { + "epoch": 0.24, + "grad_norm": 1.6891043687555267, + "learning_rate": 1.775057647638118e-05, + "loss": 1.0216, + "step": 10238 + }, + { + "epoch": 0.24, + "grad_norm": 1.7389368332549806, + "learning_rate": 1.7750094295397907e-05, + "loss": 0.9291, + "step": 10239 + }, + { + "epoch": 0.24, + "grad_norm": 1.8051894220527345, + "learning_rate": 1.774961206929113e-05, + "loss": 1.0299, + "step": 10240 + }, + { + "epoch": 0.24, + "grad_norm": 1.529120075614959, + "learning_rate": 1.7749129798063657e-05, + "loss": 0.8088, + "step": 10241 + }, + { + "epoch": 0.24, + "grad_norm": 2.188378026729015, + "learning_rate": 1.77486474817183e-05, + "loss": 0.9192, + "step": 10242 + }, + { + "epoch": 0.24, + "grad_norm": 1.9952794505208116, + "learning_rate": 1.774816512025786e-05, + "loss": 0.9254, + "step": 10243 + }, + { + "epoch": 0.24, + "grad_norm": 1.655941571595956, + "learning_rate": 1.7747682713685154e-05, + "loss": 0.8212, + "step": 10244 + }, + { + "epoch": 0.24, + "grad_norm": 1.7861770254496907, + "learning_rate": 1.7747200262002983e-05, + "loss": 0.8264, + "step": 10245 + }, + { + "epoch": 0.24, + "grad_norm": 1.58850864045638, + "learning_rate": 1.774671776521416e-05, + "loss": 0.8646, + "step": 10246 + }, + { + "epoch": 0.24, + "grad_norm": 1.4596046265927325, + "learning_rate": 1.7746235223321492e-05, + "loss": 0.9553, + "step": 10247 + }, + { + "epoch": 0.24, + "grad_norm": 1.810156099145191, + "learning_rate": 1.7745752636327793e-05, + "loss": 0.7831, + "step": 10248 + }, + { + "epoch": 0.24, + "grad_norm": 1.5606502765878636, + "learning_rate": 1.774527000423587e-05, + "loss": 0.8169, + "step": 10249 + }, + { + "epoch": 0.24, + "grad_norm": 1.5628698668958205, + "learning_rate": 1.7744787327048533e-05, + "loss": 0.7788, + "step": 10250 + }, + { + "epoch": 0.24, + "grad_norm": 1.7122334135426962, + "learning_rate": 1.7744304604768588e-05, + "loss": 0.9538, + "step": 10251 + }, + { + "epoch": 0.24, + "grad_norm": 1.7085988889605703, + "learning_rate": 1.7743821837398854e-05, + "loss": 0.8981, + "step": 10252 + }, + { + "epoch": 0.24, + "grad_norm": 1.6976674110215064, + "learning_rate": 1.7743339024942135e-05, + "loss": 0.957, + "step": 10253 + }, + { + "epoch": 0.24, + "grad_norm": 1.6097633735880919, + "learning_rate": 1.7742856167401248e-05, + "loss": 1.0284, + "step": 10254 + }, + { + "epoch": 0.24, + "grad_norm": 1.8441670831769237, + "learning_rate": 1.7742373264778997e-05, + "loss": 0.8683, + "step": 10255 + }, + { + "epoch": 0.24, + "grad_norm": 0.8229754500920858, + "learning_rate": 1.7741890317078205e-05, + "loss": 0.8056, + "step": 10256 + }, + { + "epoch": 0.24, + "grad_norm": 1.472517167693316, + "learning_rate": 1.774140732430167e-05, + "loss": 0.7977, + "step": 10257 + }, + { + "epoch": 0.24, + "grad_norm": 1.8813060793000158, + "learning_rate": 1.774092428645221e-05, + "loss": 0.9535, + "step": 10258 + }, + { + "epoch": 0.24, + "grad_norm": 1.417511389241043, + "learning_rate": 1.7740441203532638e-05, + "loss": 0.8183, + "step": 10259 + }, + { + "epoch": 0.24, + "grad_norm": 1.7114875306670458, + "learning_rate": 1.7739958075545772e-05, + "loss": 0.946, + "step": 10260 + }, + { + "epoch": 0.24, + "grad_norm": 1.5984049158835347, + "learning_rate": 1.7739474902494416e-05, + "loss": 0.771, + "step": 10261 + }, + { + "epoch": 0.24, + "grad_norm": 1.7029621751915547, + "learning_rate": 1.7738991684381387e-05, + "loss": 0.8406, + "step": 10262 + }, + { + "epoch": 0.24, + "grad_norm": 2.1548618644551722, + "learning_rate": 1.77385084212095e-05, + "loss": 0.8132, + "step": 10263 + }, + { + "epoch": 0.24, + "grad_norm": 1.6731396450090386, + "learning_rate": 1.7738025112981565e-05, + "loss": 0.9741, + "step": 10264 + }, + { + "epoch": 0.24, + "grad_norm": 0.8524912031160171, + "learning_rate": 1.7737541759700398e-05, + "loss": 0.76, + "step": 10265 + }, + { + "epoch": 0.24, + "grad_norm": 1.6816746103458493, + "learning_rate": 1.7737058361368814e-05, + "loss": 0.743, + "step": 10266 + }, + { + "epoch": 0.24, + "grad_norm": 1.5616642983933517, + "learning_rate": 1.7736574917989627e-05, + "loss": 0.8528, + "step": 10267 + }, + { + "epoch": 0.24, + "grad_norm": 1.774542071027543, + "learning_rate": 1.773609142956565e-05, + "loss": 0.8561, + "step": 10268 + }, + { + "epoch": 0.24, + "grad_norm": 1.7231616790274433, + "learning_rate": 1.77356078960997e-05, + "loss": 0.9791, + "step": 10269 + }, + { + "epoch": 0.24, + "grad_norm": 0.8974681088051574, + "learning_rate": 1.773512431759459e-05, + "loss": 0.7675, + "step": 10270 + }, + { + "epoch": 0.24, + "grad_norm": 1.4427836312775568, + "learning_rate": 1.7734640694053143e-05, + "loss": 1.0007, + "step": 10271 + }, + { + "epoch": 0.24, + "grad_norm": 1.7134485724716915, + "learning_rate": 1.7734157025478164e-05, + "loss": 0.9238, + "step": 10272 + }, + { + "epoch": 0.24, + "grad_norm": 0.7562688569404027, + "learning_rate": 1.7733673311872478e-05, + "loss": 0.7535, + "step": 10273 + }, + { + "epoch": 0.24, + "grad_norm": 1.7799811278221798, + "learning_rate": 1.7733189553238893e-05, + "loss": 0.9229, + "step": 10274 + }, + { + "epoch": 0.24, + "grad_norm": 1.9240374003205156, + "learning_rate": 1.7732705749580235e-05, + "loss": 0.9088, + "step": 10275 + }, + { + "epoch": 0.24, + "grad_norm": 0.8007975851768313, + "learning_rate": 1.7732221900899313e-05, + "loss": 0.7527, + "step": 10276 + }, + { + "epoch": 0.24, + "grad_norm": 1.5999106175474698, + "learning_rate": 1.773173800719895e-05, + "loss": 0.7869, + "step": 10277 + }, + { + "epoch": 0.24, + "grad_norm": 1.6894433942380889, + "learning_rate": 1.7731254068481955e-05, + "loss": 0.8809, + "step": 10278 + }, + { + "epoch": 0.24, + "grad_norm": 0.7849382535946762, + "learning_rate": 1.7730770084751156e-05, + "loss": 0.7438, + "step": 10279 + }, + { + "epoch": 0.24, + "grad_norm": 1.8328355524760467, + "learning_rate": 1.7730286056009363e-05, + "loss": 0.8736, + "step": 10280 + }, + { + "epoch": 0.24, + "grad_norm": 1.8139735719026695, + "learning_rate": 1.77298019822594e-05, + "loss": 1.05, + "step": 10281 + }, + { + "epoch": 0.24, + "grad_norm": 1.5196606072010514, + "learning_rate": 1.7729317863504082e-05, + "loss": 0.8194, + "step": 10282 + }, + { + "epoch": 0.24, + "grad_norm": 2.238084823753203, + "learning_rate": 1.7728833699746226e-05, + "loss": 0.8877, + "step": 10283 + }, + { + "epoch": 0.24, + "grad_norm": 1.6457367306242816, + "learning_rate": 1.7728349490988653e-05, + "loss": 0.9787, + "step": 10284 + }, + { + "epoch": 0.24, + "grad_norm": 1.571046234973575, + "learning_rate": 1.7727865237234187e-05, + "loss": 0.9299, + "step": 10285 + }, + { + "epoch": 0.24, + "grad_norm": 1.496981183056459, + "learning_rate": 1.7727380938485642e-05, + "loss": 0.7797, + "step": 10286 + }, + { + "epoch": 0.24, + "grad_norm": 1.7150221990242924, + "learning_rate": 1.7726896594745834e-05, + "loss": 0.8711, + "step": 10287 + }, + { + "epoch": 0.24, + "grad_norm": 1.8233754605941743, + "learning_rate": 1.7726412206017593e-05, + "loss": 0.8147, + "step": 10288 + }, + { + "epoch": 0.24, + "grad_norm": 1.6800217421024188, + "learning_rate": 1.772592777230373e-05, + "loss": 0.8672, + "step": 10289 + }, + { + "epoch": 0.24, + "grad_norm": 1.4936057310213584, + "learning_rate": 1.7725443293607074e-05, + "loss": 0.8448, + "step": 10290 + }, + { + "epoch": 0.24, + "grad_norm": 0.7879435316486025, + "learning_rate": 1.7724958769930437e-05, + "loss": 0.7733, + "step": 10291 + }, + { + "epoch": 0.24, + "grad_norm": 1.807593941039939, + "learning_rate": 1.7724474201276646e-05, + "loss": 0.82, + "step": 10292 + }, + { + "epoch": 0.24, + "grad_norm": 1.5475610425417228, + "learning_rate": 1.772398958764852e-05, + "loss": 0.9434, + "step": 10293 + }, + { + "epoch": 0.24, + "grad_norm": 0.7390265645602901, + "learning_rate": 1.7723504929048886e-05, + "loss": 0.7614, + "step": 10294 + }, + { + "epoch": 0.24, + "grad_norm": 1.7089595652380225, + "learning_rate": 1.7723020225480554e-05, + "loss": 0.9076, + "step": 10295 + }, + { + "epoch": 0.24, + "grad_norm": 1.8087520609572683, + "learning_rate": 1.7722535476946357e-05, + "loss": 0.8516, + "step": 10296 + }, + { + "epoch": 0.24, + "grad_norm": 1.70908195428198, + "learning_rate": 1.7722050683449114e-05, + "loss": 0.9311, + "step": 10297 + }, + { + "epoch": 0.24, + "grad_norm": 1.9878524296358524, + "learning_rate": 1.7721565844991643e-05, + "loss": 0.8637, + "step": 10298 + }, + { + "epoch": 0.24, + "grad_norm": 1.9791440995561325, + "learning_rate": 1.7721080961576776e-05, + "loss": 1.0061, + "step": 10299 + }, + { + "epoch": 0.24, + "grad_norm": 0.7781050697161983, + "learning_rate": 1.7720596033207327e-05, + "loss": 0.7765, + "step": 10300 + }, + { + "epoch": 0.24, + "grad_norm": 1.572229506391693, + "learning_rate": 1.7720111059886127e-05, + "loss": 0.9846, + "step": 10301 + }, + { + "epoch": 0.24, + "grad_norm": 2.4717801197334524, + "learning_rate": 1.7719626041615992e-05, + "loss": 0.8205, + "step": 10302 + }, + { + "epoch": 0.24, + "grad_norm": 1.4347740783360916, + "learning_rate": 1.7719140978399755e-05, + "loss": 0.8419, + "step": 10303 + }, + { + "epoch": 0.24, + "grad_norm": 2.0240194080448504, + "learning_rate": 1.7718655870240234e-05, + "loss": 0.8154, + "step": 10304 + }, + { + "epoch": 0.24, + "grad_norm": 1.625331012041727, + "learning_rate": 1.7718170717140256e-05, + "loss": 0.9553, + "step": 10305 + }, + { + "epoch": 0.24, + "grad_norm": 1.5059696256027328, + "learning_rate": 1.771768551910264e-05, + "loss": 0.9213, + "step": 10306 + }, + { + "epoch": 0.24, + "grad_norm": 1.822228379909634, + "learning_rate": 1.771720027613022e-05, + "loss": 0.8928, + "step": 10307 + }, + { + "epoch": 0.24, + "grad_norm": 1.724261805020058, + "learning_rate": 1.7716714988225815e-05, + "loss": 1.0919, + "step": 10308 + }, + { + "epoch": 0.24, + "grad_norm": 2.053930280657707, + "learning_rate": 1.7716229655392255e-05, + "loss": 0.9611, + "step": 10309 + }, + { + "epoch": 0.24, + "grad_norm": 1.7227874101298848, + "learning_rate": 1.771574427763236e-05, + "loss": 1.021, + "step": 10310 + }, + { + "epoch": 0.24, + "grad_norm": 1.5432921295759487, + "learning_rate": 1.771525885494896e-05, + "loss": 0.991, + "step": 10311 + }, + { + "epoch": 0.24, + "grad_norm": 1.6607194514768242, + "learning_rate": 1.7714773387344878e-05, + "loss": 0.7902, + "step": 10312 + }, + { + "epoch": 0.24, + "grad_norm": 1.6891529484978967, + "learning_rate": 1.7714287874822945e-05, + "loss": 0.8564, + "step": 10313 + }, + { + "epoch": 0.24, + "grad_norm": 1.6642565544826748, + "learning_rate": 1.7713802317385985e-05, + "loss": 0.8765, + "step": 10314 + }, + { + "epoch": 0.24, + "grad_norm": 1.780542618470705, + "learning_rate": 1.7713316715036827e-05, + "loss": 0.8663, + "step": 10315 + }, + { + "epoch": 0.24, + "grad_norm": 1.603295593659883, + "learning_rate": 1.7712831067778298e-05, + "loss": 0.9266, + "step": 10316 + }, + { + "epoch": 0.24, + "grad_norm": 0.8039856607716205, + "learning_rate": 1.771234537561322e-05, + "loss": 0.7201, + "step": 10317 + }, + { + "epoch": 0.24, + "grad_norm": 1.8164240211340428, + "learning_rate": 1.771185963854443e-05, + "loss": 0.9241, + "step": 10318 + }, + { + "epoch": 0.24, + "grad_norm": 1.6405426724957208, + "learning_rate": 1.771137385657475e-05, + "loss": 0.8252, + "step": 10319 + }, + { + "epoch": 0.24, + "grad_norm": 1.545203232075912, + "learning_rate": 1.771088802970701e-05, + "loss": 0.8388, + "step": 10320 + }, + { + "epoch": 0.24, + "grad_norm": 1.7829415155498096, + "learning_rate": 1.771040215794404e-05, + "loss": 0.9078, + "step": 10321 + }, + { + "epoch": 0.24, + "grad_norm": 1.4812728643397464, + "learning_rate": 1.7709916241288667e-05, + "loss": 0.9048, + "step": 10322 + }, + { + "epoch": 0.24, + "grad_norm": 1.6527179787135122, + "learning_rate": 1.770943027974372e-05, + "loss": 0.9755, + "step": 10323 + }, + { + "epoch": 0.24, + "grad_norm": 1.757878254283148, + "learning_rate": 1.770894427331203e-05, + "loss": 0.9377, + "step": 10324 + }, + { + "epoch": 0.24, + "grad_norm": 1.9108244566340051, + "learning_rate": 1.7708458221996426e-05, + "loss": 0.85, + "step": 10325 + }, + { + "epoch": 0.24, + "grad_norm": 2.086887507025372, + "learning_rate": 1.7707972125799738e-05, + "loss": 0.7635, + "step": 10326 + }, + { + "epoch": 0.24, + "grad_norm": 1.5832150446715498, + "learning_rate": 1.7707485984724795e-05, + "loss": 1.0101, + "step": 10327 + }, + { + "epoch": 0.24, + "grad_norm": 2.028536868260782, + "learning_rate": 1.7706999798774426e-05, + "loss": 0.9373, + "step": 10328 + }, + { + "epoch": 0.24, + "grad_norm": 1.8227240005676846, + "learning_rate": 1.7706513567951467e-05, + "loss": 0.8371, + "step": 10329 + }, + { + "epoch": 0.24, + "grad_norm": 1.7778162282220673, + "learning_rate": 1.7706027292258747e-05, + "loss": 0.9587, + "step": 10330 + }, + { + "epoch": 0.24, + "grad_norm": 1.7246508834316119, + "learning_rate": 1.7705540971699095e-05, + "loss": 0.8814, + "step": 10331 + }, + { + "epoch": 0.24, + "grad_norm": 1.8976408012677528, + "learning_rate": 1.7705054606275343e-05, + "loss": 0.9002, + "step": 10332 + }, + { + "epoch": 0.24, + "grad_norm": 1.7586216322485875, + "learning_rate": 1.7704568195990324e-05, + "loss": 0.7836, + "step": 10333 + }, + { + "epoch": 0.24, + "grad_norm": 1.5360839250951017, + "learning_rate": 1.770408174084687e-05, + "loss": 0.8674, + "step": 10334 + }, + { + "epoch": 0.24, + "grad_norm": 1.6992992668251816, + "learning_rate": 1.7703595240847815e-05, + "loss": 0.9248, + "step": 10335 + }, + { + "epoch": 0.24, + "grad_norm": 0.7618532025825888, + "learning_rate": 1.770310869599599e-05, + "loss": 0.6802, + "step": 10336 + }, + { + "epoch": 0.24, + "grad_norm": 1.6709459129353492, + "learning_rate": 1.770262210629422e-05, + "loss": 0.9031, + "step": 10337 + }, + { + "epoch": 0.24, + "grad_norm": 1.5835423355823046, + "learning_rate": 1.7702135471745358e-05, + "loss": 0.9637, + "step": 10338 + }, + { + "epoch": 0.24, + "grad_norm": 1.6266753154264872, + "learning_rate": 1.7701648792352215e-05, + "loss": 0.9134, + "step": 10339 + }, + { + "epoch": 0.24, + "grad_norm": 0.8193409150765801, + "learning_rate": 1.7701162068117636e-05, + "loss": 0.7525, + "step": 10340 + }, + { + "epoch": 0.24, + "grad_norm": 0.7540219579602387, + "learning_rate": 1.7700675299044457e-05, + "loss": 0.7179, + "step": 10341 + }, + { + "epoch": 0.24, + "grad_norm": 1.5798422141605768, + "learning_rate": 1.7700188485135506e-05, + "loss": 0.8379, + "step": 10342 + }, + { + "epoch": 0.24, + "grad_norm": 1.9928111563701372, + "learning_rate": 1.769970162639362e-05, + "loss": 0.8534, + "step": 10343 + }, + { + "epoch": 0.24, + "grad_norm": 1.6241348198514287, + "learning_rate": 1.7699214722821634e-05, + "loss": 0.7424, + "step": 10344 + }, + { + "epoch": 0.24, + "grad_norm": 2.4298040233401177, + "learning_rate": 1.769872777442238e-05, + "loss": 0.8382, + "step": 10345 + }, + { + "epoch": 0.24, + "grad_norm": 1.619500768625262, + "learning_rate": 1.7698240781198696e-05, + "loss": 0.9247, + "step": 10346 + }, + { + "epoch": 0.24, + "grad_norm": 1.6018513535866952, + "learning_rate": 1.769775374315342e-05, + "loss": 0.9349, + "step": 10347 + }, + { + "epoch": 0.24, + "grad_norm": 1.8258358742217409, + "learning_rate": 1.7697266660289383e-05, + "loss": 0.9318, + "step": 10348 + }, + { + "epoch": 0.24, + "grad_norm": 1.578180941951075, + "learning_rate": 1.769677953260942e-05, + "loss": 0.9769, + "step": 10349 + }, + { + "epoch": 0.24, + "grad_norm": 1.7998897459429484, + "learning_rate": 1.7696292360116373e-05, + "loss": 0.7948, + "step": 10350 + }, + { + "epoch": 0.24, + "grad_norm": 0.719633566098783, + "learning_rate": 1.7695805142813073e-05, + "loss": 0.6987, + "step": 10351 + }, + { + "epoch": 0.24, + "grad_norm": 1.7360845627184953, + "learning_rate": 1.769531788070236e-05, + "loss": 0.8419, + "step": 10352 + }, + { + "epoch": 0.24, + "grad_norm": 0.7552518075386401, + "learning_rate": 1.7694830573787075e-05, + "loss": 0.7293, + "step": 10353 + }, + { + "epoch": 0.24, + "grad_norm": 1.5594363111535996, + "learning_rate": 1.769434322207004e-05, + "loss": 0.8624, + "step": 10354 + }, + { + "epoch": 0.24, + "grad_norm": 2.9911773685127816, + "learning_rate": 1.7693855825554113e-05, + "loss": 0.8336, + "step": 10355 + }, + { + "epoch": 0.24, + "grad_norm": 1.852243381814298, + "learning_rate": 1.7693368384242115e-05, + "loss": 0.8701, + "step": 10356 + }, + { + "epoch": 0.24, + "grad_norm": 0.7848670522170094, + "learning_rate": 1.7692880898136894e-05, + "loss": 0.7602, + "step": 10357 + }, + { + "epoch": 0.24, + "grad_norm": 1.439178140910759, + "learning_rate": 1.7692393367241283e-05, + "loss": 0.8467, + "step": 10358 + }, + { + "epoch": 0.24, + "grad_norm": 1.7116159751231659, + "learning_rate": 1.7691905791558123e-05, + "loss": 1.0978, + "step": 10359 + }, + { + "epoch": 0.24, + "grad_norm": 1.6859875355228187, + "learning_rate": 1.7691418171090254e-05, + "loss": 0.8442, + "step": 10360 + }, + { + "epoch": 0.24, + "grad_norm": 1.6706888321268938, + "learning_rate": 1.7690930505840513e-05, + "loss": 0.9661, + "step": 10361 + }, + { + "epoch": 0.24, + "grad_norm": 2.1335495816040315, + "learning_rate": 1.7690442795811734e-05, + "loss": 0.9044, + "step": 10362 + }, + { + "epoch": 0.24, + "grad_norm": 1.6491126626385615, + "learning_rate": 1.7689955041006768e-05, + "loss": 0.9535, + "step": 10363 + }, + { + "epoch": 0.24, + "grad_norm": 0.7455707960741793, + "learning_rate": 1.7689467241428446e-05, + "loss": 0.7619, + "step": 10364 + }, + { + "epoch": 0.24, + "grad_norm": 1.5254705307179133, + "learning_rate": 1.7688979397079612e-05, + "loss": 0.7893, + "step": 10365 + }, + { + "epoch": 0.24, + "grad_norm": 1.4669517059251884, + "learning_rate": 1.7688491507963108e-05, + "loss": 0.9621, + "step": 10366 + }, + { + "epoch": 0.24, + "grad_norm": 1.685899340535082, + "learning_rate": 1.7688003574081773e-05, + "loss": 0.8623, + "step": 10367 + }, + { + "epoch": 0.24, + "grad_norm": 1.5847213478130286, + "learning_rate": 1.7687515595438443e-05, + "loss": 0.9574, + "step": 10368 + }, + { + "epoch": 0.24, + "grad_norm": 1.7030025489970217, + "learning_rate": 1.7687027572035965e-05, + "loss": 0.8138, + "step": 10369 + }, + { + "epoch": 0.24, + "grad_norm": 0.8219852756057503, + "learning_rate": 1.768653950387718e-05, + "loss": 0.7551, + "step": 10370 + }, + { + "epoch": 0.24, + "grad_norm": 1.8682651356897686, + "learning_rate": 1.768605139096493e-05, + "loss": 0.8797, + "step": 10371 + }, + { + "epoch": 0.24, + "grad_norm": 1.6937873494683235, + "learning_rate": 1.7685563233302053e-05, + "loss": 0.9212, + "step": 10372 + }, + { + "epoch": 0.24, + "grad_norm": 1.4872816621609881, + "learning_rate": 1.7685075030891393e-05, + "loss": 0.8927, + "step": 10373 + }, + { + "epoch": 0.24, + "grad_norm": 1.683435350223454, + "learning_rate": 1.7684586783735793e-05, + "loss": 0.9019, + "step": 10374 + }, + { + "epoch": 0.24, + "grad_norm": 1.6520378000430442, + "learning_rate": 1.7684098491838097e-05, + "loss": 0.9032, + "step": 10375 + }, + { + "epoch": 0.24, + "grad_norm": 0.7819500227390668, + "learning_rate": 1.7683610155201148e-05, + "loss": 0.7523, + "step": 10376 + }, + { + "epoch": 0.24, + "grad_norm": 1.746606522471857, + "learning_rate": 1.7683121773827787e-05, + "loss": 0.9871, + "step": 10377 + }, + { + "epoch": 0.24, + "grad_norm": 0.8009841958165406, + "learning_rate": 1.7682633347720858e-05, + "loss": 0.8176, + "step": 10378 + }, + { + "epoch": 0.24, + "grad_norm": 1.6473187628046082, + "learning_rate": 1.7682144876883207e-05, + "loss": 0.9673, + "step": 10379 + }, + { + "epoch": 0.24, + "grad_norm": 1.523422631376866, + "learning_rate": 1.7681656361317676e-05, + "loss": 0.9444, + "step": 10380 + }, + { + "epoch": 0.24, + "grad_norm": 1.7214537372948098, + "learning_rate": 1.7681167801027107e-05, + "loss": 0.9491, + "step": 10381 + }, + { + "epoch": 0.24, + "grad_norm": 1.6423025204057597, + "learning_rate": 1.7680679196014348e-05, + "loss": 0.9014, + "step": 10382 + }, + { + "epoch": 0.24, + "grad_norm": 1.8351178092044425, + "learning_rate": 1.7680190546282244e-05, + "loss": 0.9541, + "step": 10383 + }, + { + "epoch": 0.24, + "grad_norm": 2.531402404856524, + "learning_rate": 1.767970185183364e-05, + "loss": 1.1012, + "step": 10384 + }, + { + "epoch": 0.24, + "grad_norm": 1.7559845586237988, + "learning_rate": 1.7679213112671378e-05, + "loss": 0.8105, + "step": 10385 + }, + { + "epoch": 0.24, + "grad_norm": 1.504050237769019, + "learning_rate": 1.7678724328798308e-05, + "loss": 0.8272, + "step": 10386 + }, + { + "epoch": 0.24, + "grad_norm": 1.737067276984505, + "learning_rate": 1.7678235500217274e-05, + "loss": 0.8748, + "step": 10387 + }, + { + "epoch": 0.24, + "grad_norm": 1.4776750564707033, + "learning_rate": 1.7677746626931122e-05, + "loss": 0.9344, + "step": 10388 + }, + { + "epoch": 0.24, + "grad_norm": 1.7847623350847466, + "learning_rate": 1.7677257708942697e-05, + "loss": 0.8676, + "step": 10389 + }, + { + "epoch": 0.24, + "grad_norm": 1.9387043750915065, + "learning_rate": 1.767676874625485e-05, + "loss": 0.9626, + "step": 10390 + }, + { + "epoch": 0.24, + "grad_norm": 1.8866784444274034, + "learning_rate": 1.7676279738870423e-05, + "loss": 0.9465, + "step": 10391 + }, + { + "epoch": 0.24, + "grad_norm": 1.6892054674302435, + "learning_rate": 1.7675790686792264e-05, + "loss": 0.9013, + "step": 10392 + }, + { + "epoch": 0.24, + "grad_norm": 1.7725759822905098, + "learning_rate": 1.7675301590023225e-05, + "loss": 0.8739, + "step": 10393 + }, + { + "epoch": 0.24, + "grad_norm": 3.76486465725936, + "learning_rate": 1.7674812448566147e-05, + "loss": 1.0183, + "step": 10394 + }, + { + "epoch": 0.24, + "grad_norm": 2.301578848982092, + "learning_rate": 1.7674323262423883e-05, + "loss": 1.0772, + "step": 10395 + }, + { + "epoch": 0.24, + "grad_norm": 1.6563315224750155, + "learning_rate": 1.767383403159928e-05, + "loss": 0.912, + "step": 10396 + }, + { + "epoch": 0.24, + "grad_norm": 1.7617862123279304, + "learning_rate": 1.767334475609518e-05, + "loss": 0.9656, + "step": 10397 + }, + { + "epoch": 0.24, + "grad_norm": 1.6786116077030375, + "learning_rate": 1.7672855435914442e-05, + "loss": 0.9141, + "step": 10398 + }, + { + "epoch": 0.24, + "grad_norm": 1.627042113803595, + "learning_rate": 1.767236607105991e-05, + "loss": 0.9814, + "step": 10399 + }, + { + "epoch": 0.25, + "grad_norm": 1.0152481535945825, + "learning_rate": 1.7671876661534436e-05, + "loss": 0.7432, + "step": 10400 + }, + { + "epoch": 0.25, + "grad_norm": 1.6911137883082927, + "learning_rate": 1.7671387207340864e-05, + "loss": 0.8724, + "step": 10401 + }, + { + "epoch": 0.25, + "grad_norm": 2.7639228531606563, + "learning_rate": 1.767089770848205e-05, + "loss": 0.8839, + "step": 10402 + }, + { + "epoch": 0.25, + "grad_norm": 1.8702812966932318, + "learning_rate": 1.7670408164960833e-05, + "loss": 0.9215, + "step": 10403 + }, + { + "epoch": 0.25, + "grad_norm": 1.5291043101285253, + "learning_rate": 1.766991857678008e-05, + "loss": 0.8897, + "step": 10404 + }, + { + "epoch": 0.25, + "grad_norm": 1.8089562579564398, + "learning_rate": 1.766942894394263e-05, + "loss": 0.8588, + "step": 10405 + }, + { + "epoch": 0.25, + "grad_norm": 5.906009902525376, + "learning_rate": 1.7668939266451337e-05, + "loss": 0.8853, + "step": 10406 + }, + { + "epoch": 0.25, + "grad_norm": 1.469139036263563, + "learning_rate": 1.7668449544309053e-05, + "loss": 0.9503, + "step": 10407 + }, + { + "epoch": 0.25, + "grad_norm": 0.7933266804618545, + "learning_rate": 1.7667959777518622e-05, + "loss": 0.7262, + "step": 10408 + }, + { + "epoch": 0.25, + "grad_norm": 1.8851126559815217, + "learning_rate": 1.7667469966082908e-05, + "loss": 0.8857, + "step": 10409 + }, + { + "epoch": 0.25, + "grad_norm": 1.516152693632411, + "learning_rate": 1.7666980110004756e-05, + "loss": 0.9588, + "step": 10410 + }, + { + "epoch": 0.25, + "grad_norm": 1.742063741260133, + "learning_rate": 1.7666490209287015e-05, + "loss": 0.9482, + "step": 10411 + }, + { + "epoch": 0.25, + "grad_norm": 1.76876264404159, + "learning_rate": 1.7666000263932542e-05, + "loss": 0.854, + "step": 10412 + }, + { + "epoch": 0.25, + "grad_norm": 2.2579670648927466, + "learning_rate": 1.766551027394419e-05, + "loss": 0.9379, + "step": 10413 + }, + { + "epoch": 0.25, + "grad_norm": 3.320473026092424, + "learning_rate": 1.7665020239324808e-05, + "loss": 0.8311, + "step": 10414 + }, + { + "epoch": 0.25, + "grad_norm": 1.7437656674250828, + "learning_rate": 1.7664530160077252e-05, + "loss": 0.8824, + "step": 10415 + }, + { + "epoch": 0.25, + "grad_norm": 2.1468367124854186, + "learning_rate": 1.7664040036204375e-05, + "loss": 0.9128, + "step": 10416 + }, + { + "epoch": 0.25, + "grad_norm": 1.5910568242060643, + "learning_rate": 1.766354986770903e-05, + "loss": 0.9572, + "step": 10417 + }, + { + "epoch": 0.25, + "grad_norm": 1.3756679873959954, + "learning_rate": 1.7663059654594073e-05, + "loss": 0.8828, + "step": 10418 + }, + { + "epoch": 0.25, + "grad_norm": 2.3651728293273204, + "learning_rate": 1.766256939686236e-05, + "loss": 1.0459, + "step": 10419 + }, + { + "epoch": 0.25, + "grad_norm": 1.562622239725458, + "learning_rate": 1.7662079094516735e-05, + "loss": 0.8403, + "step": 10420 + }, + { + "epoch": 0.25, + "grad_norm": 2.288133551092626, + "learning_rate": 1.7661588747560062e-05, + "loss": 0.8437, + "step": 10421 + }, + { + "epoch": 0.25, + "grad_norm": 1.6474068809594098, + "learning_rate": 1.7661098355995195e-05, + "loss": 0.9548, + "step": 10422 + }, + { + "epoch": 0.25, + "grad_norm": 1.7481240359051002, + "learning_rate": 1.7660607919824988e-05, + "loss": 0.93, + "step": 10423 + }, + { + "epoch": 0.25, + "grad_norm": 1.716834273489727, + "learning_rate": 1.76601174390523e-05, + "loss": 0.9336, + "step": 10424 + }, + { + "epoch": 0.25, + "grad_norm": 1.5997255941405515, + "learning_rate": 1.7659626913679977e-05, + "loss": 0.8406, + "step": 10425 + }, + { + "epoch": 0.25, + "grad_norm": 1.7988950412784703, + "learning_rate": 1.765913634371088e-05, + "loss": 0.8586, + "step": 10426 + }, + { + "epoch": 0.25, + "grad_norm": 1.9835331290788025, + "learning_rate": 1.765864572914787e-05, + "loss": 0.7841, + "step": 10427 + }, + { + "epoch": 0.25, + "grad_norm": 0.8242258323996783, + "learning_rate": 1.7658155069993802e-05, + "loss": 0.7664, + "step": 10428 + }, + { + "epoch": 0.25, + "grad_norm": 0.8542204313360756, + "learning_rate": 1.7657664366251527e-05, + "loss": 0.7416, + "step": 10429 + }, + { + "epoch": 0.25, + "grad_norm": 1.4248878319602445, + "learning_rate": 1.7657173617923905e-05, + "loss": 0.8449, + "step": 10430 + }, + { + "epoch": 0.25, + "grad_norm": 1.951418333292033, + "learning_rate": 1.7656682825013794e-05, + "loss": 0.9585, + "step": 10431 + }, + { + "epoch": 0.25, + "grad_norm": 1.7424888482523282, + "learning_rate": 1.7656191987524055e-05, + "loss": 0.9063, + "step": 10432 + }, + { + "epoch": 0.25, + "grad_norm": 2.9363630626018065, + "learning_rate": 1.765570110545754e-05, + "loss": 1.009, + "step": 10433 + }, + { + "epoch": 0.25, + "grad_norm": 0.7496727798716031, + "learning_rate": 1.765521017881711e-05, + "loss": 0.7709, + "step": 10434 + }, + { + "epoch": 0.25, + "grad_norm": 1.64088471707785, + "learning_rate": 1.7654719207605625e-05, + "loss": 0.7535, + "step": 10435 + }, + { + "epoch": 0.25, + "grad_norm": 0.8064833348717755, + "learning_rate": 1.7654228191825937e-05, + "loss": 0.7194, + "step": 10436 + }, + { + "epoch": 0.25, + "grad_norm": 1.4470718394376136, + "learning_rate": 1.7653737131480914e-05, + "loss": 0.9048, + "step": 10437 + }, + { + "epoch": 0.25, + "grad_norm": 1.529849826150956, + "learning_rate": 1.7653246026573404e-05, + "loss": 0.8469, + "step": 10438 + }, + { + "epoch": 0.25, + "grad_norm": 0.7448809361946501, + "learning_rate": 1.7652754877106275e-05, + "loss": 0.7329, + "step": 10439 + }, + { + "epoch": 0.25, + "grad_norm": 1.8489367205768121, + "learning_rate": 1.7652263683082388e-05, + "loss": 0.9819, + "step": 10440 + }, + { + "epoch": 0.25, + "grad_norm": 1.68462093028439, + "learning_rate": 1.7651772444504594e-05, + "loss": 0.8386, + "step": 10441 + }, + { + "epoch": 0.25, + "grad_norm": 2.2223297972345653, + "learning_rate": 1.765128116137576e-05, + "loss": 0.8375, + "step": 10442 + }, + { + "epoch": 0.25, + "grad_norm": 1.5467193009185465, + "learning_rate": 1.765078983369875e-05, + "loss": 0.8508, + "step": 10443 + }, + { + "epoch": 0.25, + "grad_norm": 1.7963514723421552, + "learning_rate": 1.765029846147641e-05, + "loss": 0.8647, + "step": 10444 + }, + { + "epoch": 0.25, + "grad_norm": 1.971203085802386, + "learning_rate": 1.764980704471162e-05, + "loss": 0.8406, + "step": 10445 + }, + { + "epoch": 0.25, + "grad_norm": 1.6709869470430136, + "learning_rate": 1.7649315583407226e-05, + "loss": 0.9953, + "step": 10446 + }, + { + "epoch": 0.25, + "grad_norm": 1.5566119060655168, + "learning_rate": 1.7648824077566095e-05, + "loss": 0.9503, + "step": 10447 + }, + { + "epoch": 0.25, + "grad_norm": 2.3760815368956454, + "learning_rate": 1.7648332527191086e-05, + "loss": 0.8852, + "step": 10448 + }, + { + "epoch": 0.25, + "grad_norm": 1.8842703756004369, + "learning_rate": 1.764784093228507e-05, + "loss": 0.9142, + "step": 10449 + }, + { + "epoch": 0.25, + "grad_norm": 1.9494611332090621, + "learning_rate": 1.7647349292850898e-05, + "loss": 0.7306, + "step": 10450 + }, + { + "epoch": 0.25, + "grad_norm": 1.7590285484304, + "learning_rate": 1.7646857608891438e-05, + "loss": 1.0645, + "step": 10451 + }, + { + "epoch": 0.25, + "grad_norm": 1.5808661639434163, + "learning_rate": 1.7646365880409554e-05, + "loss": 0.962, + "step": 10452 + }, + { + "epoch": 0.25, + "grad_norm": 0.776542639887663, + "learning_rate": 1.7645874107408107e-05, + "loss": 0.7465, + "step": 10453 + }, + { + "epoch": 0.25, + "grad_norm": 0.7572986746737506, + "learning_rate": 1.764538228988996e-05, + "loss": 0.7814, + "step": 10454 + }, + { + "epoch": 0.25, + "grad_norm": 1.4640589973331537, + "learning_rate": 1.7644890427857975e-05, + "loss": 0.9392, + "step": 10455 + }, + { + "epoch": 0.25, + "grad_norm": 1.669237137327922, + "learning_rate": 1.764439852131502e-05, + "loss": 1.0479, + "step": 10456 + }, + { + "epoch": 0.25, + "grad_norm": 2.1454460877061483, + "learning_rate": 1.7643906570263958e-05, + "loss": 0.9182, + "step": 10457 + }, + { + "epoch": 0.25, + "grad_norm": 1.6498025848024545, + "learning_rate": 1.764341457470765e-05, + "loss": 0.7995, + "step": 10458 + }, + { + "epoch": 0.25, + "grad_norm": 1.720246719995, + "learning_rate": 1.7642922534648962e-05, + "loss": 0.8397, + "step": 10459 + }, + { + "epoch": 0.25, + "grad_norm": 1.6813478553344177, + "learning_rate": 1.7642430450090758e-05, + "loss": 0.8893, + "step": 10460 + }, + { + "epoch": 0.25, + "grad_norm": 2.4748141844905502, + "learning_rate": 1.7641938321035904e-05, + "loss": 0.8783, + "step": 10461 + }, + { + "epoch": 0.25, + "grad_norm": 2.1475078856464376, + "learning_rate": 1.7641446147487267e-05, + "loss": 0.9412, + "step": 10462 + }, + { + "epoch": 0.25, + "grad_norm": 2.5019245565772636, + "learning_rate": 1.7640953929447712e-05, + "loss": 0.9007, + "step": 10463 + }, + { + "epoch": 0.25, + "grad_norm": 1.6759370368651776, + "learning_rate": 1.7640461666920104e-05, + "loss": 0.9321, + "step": 10464 + }, + { + "epoch": 0.25, + "grad_norm": 1.6147503875497113, + "learning_rate": 1.763996935990731e-05, + "loss": 0.8682, + "step": 10465 + }, + { + "epoch": 0.25, + "grad_norm": 1.8080928549917614, + "learning_rate": 1.7639477008412192e-05, + "loss": 0.8324, + "step": 10466 + }, + { + "epoch": 0.25, + "grad_norm": 1.6403570959602893, + "learning_rate": 1.7638984612437623e-05, + "loss": 0.9568, + "step": 10467 + }, + { + "epoch": 0.25, + "grad_norm": 1.5511868722644138, + "learning_rate": 1.7638492171986468e-05, + "loss": 0.91, + "step": 10468 + }, + { + "epoch": 0.25, + "grad_norm": 1.8087853587578062, + "learning_rate": 1.763799968706159e-05, + "loss": 0.943, + "step": 10469 + }, + { + "epoch": 0.25, + "grad_norm": 1.4881146508362955, + "learning_rate": 1.7637507157665867e-05, + "loss": 0.8499, + "step": 10470 + }, + { + "epoch": 0.25, + "grad_norm": 1.8771133030430955, + "learning_rate": 1.763701458380215e-05, + "loss": 0.8508, + "step": 10471 + }, + { + "epoch": 0.25, + "grad_norm": 1.5968222074378093, + "learning_rate": 1.7636521965473324e-05, + "loss": 0.8482, + "step": 10472 + }, + { + "epoch": 0.25, + "grad_norm": 1.4030555366719852, + "learning_rate": 1.7636029302682244e-05, + "loss": 0.9205, + "step": 10473 + }, + { + "epoch": 0.25, + "grad_norm": 0.7491874847785042, + "learning_rate": 1.7635536595431784e-05, + "loss": 0.7884, + "step": 10474 + }, + { + "epoch": 0.25, + "grad_norm": 2.3074634883113245, + "learning_rate": 1.7635043843724817e-05, + "loss": 0.865, + "step": 10475 + }, + { + "epoch": 0.25, + "grad_norm": 1.591707435406985, + "learning_rate": 1.7634551047564205e-05, + "loss": 0.9153, + "step": 10476 + }, + { + "epoch": 0.25, + "grad_norm": 1.5754590118064002, + "learning_rate": 1.763405820695282e-05, + "loss": 0.9498, + "step": 10477 + }, + { + "epoch": 0.25, + "grad_norm": 2.5003127433902583, + "learning_rate": 1.7633565321893527e-05, + "loss": 0.8603, + "step": 10478 + }, + { + "epoch": 0.25, + "grad_norm": 1.6218448443065017, + "learning_rate": 1.7633072392389204e-05, + "loss": 0.9863, + "step": 10479 + }, + { + "epoch": 0.25, + "grad_norm": 1.9475006566510715, + "learning_rate": 1.763257941844272e-05, + "loss": 0.9293, + "step": 10480 + }, + { + "epoch": 0.25, + "grad_norm": 1.649132721998107, + "learning_rate": 1.7632086400056936e-05, + "loss": 0.9937, + "step": 10481 + }, + { + "epoch": 0.25, + "grad_norm": 1.5739222425274702, + "learning_rate": 1.7631593337234733e-05, + "loss": 0.9504, + "step": 10482 + }, + { + "epoch": 0.25, + "grad_norm": 2.1711463607009613, + "learning_rate": 1.7631100229978977e-05, + "loss": 0.8448, + "step": 10483 + }, + { + "epoch": 0.25, + "grad_norm": 1.597021135625009, + "learning_rate": 1.763060707829254e-05, + "loss": 0.783, + "step": 10484 + }, + { + "epoch": 0.25, + "grad_norm": 3.06914826785656, + "learning_rate": 1.7630113882178287e-05, + "loss": 0.9646, + "step": 10485 + }, + { + "epoch": 0.25, + "grad_norm": 2.112599370523303, + "learning_rate": 1.7629620641639102e-05, + "loss": 0.8618, + "step": 10486 + }, + { + "epoch": 0.25, + "grad_norm": 1.6520089824442006, + "learning_rate": 1.7629127356677847e-05, + "loss": 0.9278, + "step": 10487 + }, + { + "epoch": 0.25, + "grad_norm": 1.6415535468879277, + "learning_rate": 1.7628634027297397e-05, + "loss": 0.9199, + "step": 10488 + }, + { + "epoch": 0.25, + "grad_norm": 1.7358529707724801, + "learning_rate": 1.7628140653500628e-05, + "loss": 0.829, + "step": 10489 + }, + { + "epoch": 0.25, + "grad_norm": 1.6156116412079609, + "learning_rate": 1.7627647235290407e-05, + "loss": 0.8929, + "step": 10490 + }, + { + "epoch": 0.25, + "grad_norm": 1.53090591723032, + "learning_rate": 1.762715377266961e-05, + "loss": 0.8034, + "step": 10491 + }, + { + "epoch": 0.25, + "grad_norm": 1.9263462192502212, + "learning_rate": 1.7626660265641105e-05, + "loss": 0.8761, + "step": 10492 + }, + { + "epoch": 0.25, + "grad_norm": 1.6076662937256754, + "learning_rate": 1.7626166714207774e-05, + "loss": 0.8712, + "step": 10493 + }, + { + "epoch": 0.25, + "grad_norm": 2.1279298148334616, + "learning_rate": 1.762567311837248e-05, + "loss": 0.9272, + "step": 10494 + }, + { + "epoch": 0.25, + "grad_norm": 1.7184815681639949, + "learning_rate": 1.762517947813811e-05, + "loss": 0.8854, + "step": 10495 + }, + { + "epoch": 0.25, + "grad_norm": 1.9422623868869007, + "learning_rate": 1.7624685793507526e-05, + "loss": 0.9911, + "step": 10496 + }, + { + "epoch": 0.25, + "grad_norm": 1.666953042466854, + "learning_rate": 1.762419206448361e-05, + "loss": 0.9188, + "step": 10497 + }, + { + "epoch": 0.25, + "grad_norm": 1.8361742472724847, + "learning_rate": 1.7623698291069235e-05, + "loss": 1.0423, + "step": 10498 + }, + { + "epoch": 0.25, + "grad_norm": 2.1460192100019824, + "learning_rate": 1.762320447326727e-05, + "loss": 1.0029, + "step": 10499 + }, + { + "epoch": 0.25, + "grad_norm": 1.8633432485766697, + "learning_rate": 1.7622710611080597e-05, + "loss": 0.8564, + "step": 10500 + }, + { + "epoch": 0.25, + "grad_norm": 1.7455355570204745, + "learning_rate": 1.762221670451209e-05, + "loss": 0.8998, + "step": 10501 + }, + { + "epoch": 0.25, + "grad_norm": 0.7413164464087458, + "learning_rate": 1.7621722753564628e-05, + "loss": 0.7384, + "step": 10502 + }, + { + "epoch": 0.25, + "grad_norm": 3.375944650881002, + "learning_rate": 1.762122875824108e-05, + "loss": 0.9057, + "step": 10503 + }, + { + "epoch": 0.25, + "grad_norm": 1.7764425011070661, + "learning_rate": 1.7620734718544326e-05, + "loss": 0.8296, + "step": 10504 + }, + { + "epoch": 0.25, + "grad_norm": 1.635364149431277, + "learning_rate": 1.762024063447724e-05, + "loss": 0.8893, + "step": 10505 + }, + { + "epoch": 0.25, + "grad_norm": 1.5132581741327769, + "learning_rate": 1.76197465060427e-05, + "loss": 1.0055, + "step": 10506 + }, + { + "epoch": 0.25, + "grad_norm": 1.826768080614853, + "learning_rate": 1.7619252333243586e-05, + "loss": 0.9335, + "step": 10507 + }, + { + "epoch": 0.25, + "grad_norm": 1.6099665627528212, + "learning_rate": 1.7618758116082772e-05, + "loss": 0.8956, + "step": 10508 + }, + { + "epoch": 0.25, + "grad_norm": 1.9138131965063176, + "learning_rate": 1.7618263854563137e-05, + "loss": 0.9612, + "step": 10509 + }, + { + "epoch": 0.25, + "grad_norm": 1.730344801250831, + "learning_rate": 1.7617769548687555e-05, + "loss": 0.8271, + "step": 10510 + }, + { + "epoch": 0.25, + "grad_norm": 1.435862343211079, + "learning_rate": 1.761727519845891e-05, + "loss": 0.97, + "step": 10511 + }, + { + "epoch": 0.25, + "grad_norm": 1.4606099908095358, + "learning_rate": 1.7616780803880077e-05, + "loss": 0.9121, + "step": 10512 + }, + { + "epoch": 0.25, + "grad_norm": 1.8395596022707534, + "learning_rate": 1.7616286364953935e-05, + "loss": 0.8471, + "step": 10513 + }, + { + "epoch": 0.25, + "grad_norm": 0.8285064185098397, + "learning_rate": 1.7615791881683358e-05, + "loss": 0.7578, + "step": 10514 + }, + { + "epoch": 0.25, + "grad_norm": 1.931907791636577, + "learning_rate": 1.7615297354071233e-05, + "loss": 0.9591, + "step": 10515 + }, + { + "epoch": 0.25, + "grad_norm": 2.1628541398656984, + "learning_rate": 1.7614802782120433e-05, + "loss": 0.926, + "step": 10516 + }, + { + "epoch": 0.25, + "grad_norm": 1.8464205416225152, + "learning_rate": 1.7614308165833845e-05, + "loss": 0.8328, + "step": 10517 + }, + { + "epoch": 0.25, + "grad_norm": 1.524989045354445, + "learning_rate": 1.7613813505214343e-05, + "loss": 0.8915, + "step": 10518 + }, + { + "epoch": 0.25, + "grad_norm": 2.1122502682543356, + "learning_rate": 1.7613318800264808e-05, + "loss": 0.9116, + "step": 10519 + }, + { + "epoch": 0.25, + "grad_norm": 1.6884808177284887, + "learning_rate": 1.761282405098812e-05, + "loss": 1.0934, + "step": 10520 + }, + { + "epoch": 0.25, + "grad_norm": 2.2090373497187903, + "learning_rate": 1.7612329257387163e-05, + "loss": 0.9079, + "step": 10521 + }, + { + "epoch": 0.25, + "grad_norm": 0.7611287854002515, + "learning_rate": 1.761183441946481e-05, + "loss": 0.7365, + "step": 10522 + }, + { + "epoch": 0.25, + "grad_norm": 2.526630961746136, + "learning_rate": 1.761133953722395e-05, + "loss": 0.805, + "step": 10523 + }, + { + "epoch": 0.25, + "grad_norm": 1.5066917922623357, + "learning_rate": 1.7610844610667463e-05, + "loss": 0.7856, + "step": 10524 + }, + { + "epoch": 0.25, + "grad_norm": 1.5728076577660959, + "learning_rate": 1.7610349639798226e-05, + "loss": 0.8798, + "step": 10525 + }, + { + "epoch": 0.25, + "grad_norm": 0.7630854127310378, + "learning_rate": 1.7609854624619124e-05, + "loss": 0.7591, + "step": 10526 + }, + { + "epoch": 0.25, + "grad_norm": 1.852896385189145, + "learning_rate": 1.7609359565133043e-05, + "loss": 0.826, + "step": 10527 + }, + { + "epoch": 0.25, + "grad_norm": 1.7700481106654162, + "learning_rate": 1.7608864461342856e-05, + "loss": 0.9951, + "step": 10528 + }, + { + "epoch": 0.25, + "grad_norm": 1.55661445892062, + "learning_rate": 1.7608369313251453e-05, + "loss": 0.9134, + "step": 10529 + }, + { + "epoch": 0.25, + "grad_norm": 1.5503462265658774, + "learning_rate": 1.7607874120861715e-05, + "loss": 0.8384, + "step": 10530 + }, + { + "epoch": 0.25, + "grad_norm": 1.8015624237921257, + "learning_rate": 1.7607378884176528e-05, + "loss": 0.9502, + "step": 10531 + }, + { + "epoch": 0.25, + "grad_norm": 1.7644165850056126, + "learning_rate": 1.760688360319877e-05, + "loss": 0.8821, + "step": 10532 + }, + { + "epoch": 0.25, + "grad_norm": 0.7264970252531066, + "learning_rate": 1.760638827793133e-05, + "loss": 0.7374, + "step": 10533 + }, + { + "epoch": 0.25, + "grad_norm": 2.3657506206525887, + "learning_rate": 1.7605892908377088e-05, + "loss": 0.8772, + "step": 10534 + }, + { + "epoch": 0.25, + "grad_norm": 1.9182484424747792, + "learning_rate": 1.760539749453893e-05, + "loss": 1.0041, + "step": 10535 + }, + { + "epoch": 0.25, + "grad_norm": 1.7610156823869947, + "learning_rate": 1.7604902036419737e-05, + "loss": 0.8766, + "step": 10536 + }, + { + "epoch": 0.25, + "grad_norm": 2.3112609452579513, + "learning_rate": 1.76044065340224e-05, + "loss": 0.8457, + "step": 10537 + }, + { + "epoch": 0.25, + "grad_norm": 1.5970387906213253, + "learning_rate": 1.7603910987349803e-05, + "loss": 0.8378, + "step": 10538 + }, + { + "epoch": 0.25, + "grad_norm": 1.6188648778743577, + "learning_rate": 1.7603415396404822e-05, + "loss": 0.8188, + "step": 10539 + }, + { + "epoch": 0.25, + "grad_norm": 1.6549308078860174, + "learning_rate": 1.7602919761190355e-05, + "loss": 0.8492, + "step": 10540 + }, + { + "epoch": 0.25, + "grad_norm": 2.1579210780369884, + "learning_rate": 1.760242408170928e-05, + "loss": 1.028, + "step": 10541 + }, + { + "epoch": 0.25, + "grad_norm": 1.7155084870270263, + "learning_rate": 1.760192835796448e-05, + "loss": 0.8772, + "step": 10542 + }, + { + "epoch": 0.25, + "grad_norm": 1.6494354943065423, + "learning_rate": 1.7601432589958856e-05, + "loss": 1.0114, + "step": 10543 + }, + { + "epoch": 0.25, + "grad_norm": 1.5864732865046587, + "learning_rate": 1.760093677769528e-05, + "loss": 0.8959, + "step": 10544 + }, + { + "epoch": 0.25, + "grad_norm": 0.7583270433578148, + "learning_rate": 1.7600440921176643e-05, + "loss": 0.7342, + "step": 10545 + }, + { + "epoch": 0.25, + "grad_norm": 1.6918031612786784, + "learning_rate": 1.7599945020405834e-05, + "loss": 0.9631, + "step": 10546 + }, + { + "epoch": 0.25, + "grad_norm": 2.7827806829792117, + "learning_rate": 1.7599449075385736e-05, + "loss": 0.9314, + "step": 10547 + }, + { + "epoch": 0.25, + "grad_norm": 2.8414583004691036, + "learning_rate": 1.7598953086119243e-05, + "loss": 0.7694, + "step": 10548 + }, + { + "epoch": 0.25, + "grad_norm": 1.6461068009778883, + "learning_rate": 1.759845705260924e-05, + "loss": 1.0194, + "step": 10549 + }, + { + "epoch": 0.25, + "grad_norm": 1.6727510548454345, + "learning_rate": 1.759796097485861e-05, + "loss": 0.9102, + "step": 10550 + }, + { + "epoch": 0.25, + "grad_norm": 2.20938368623441, + "learning_rate": 1.759746485287025e-05, + "loss": 0.9384, + "step": 10551 + }, + { + "epoch": 0.25, + "grad_norm": 1.532193685921436, + "learning_rate": 1.7596968686647042e-05, + "loss": 0.983, + "step": 10552 + }, + { + "epoch": 0.25, + "grad_norm": 2.2705729252697697, + "learning_rate": 1.759647247619188e-05, + "loss": 0.8407, + "step": 10553 + }, + { + "epoch": 0.25, + "grad_norm": 1.7567878914075126, + "learning_rate": 1.7595976221507647e-05, + "loss": 0.8926, + "step": 10554 + }, + { + "epoch": 0.25, + "grad_norm": 1.5356786983749322, + "learning_rate": 1.7595479922597238e-05, + "loss": 0.8666, + "step": 10555 + }, + { + "epoch": 0.25, + "grad_norm": 1.5744556311710474, + "learning_rate": 1.7594983579463537e-05, + "loss": 0.9809, + "step": 10556 + }, + { + "epoch": 0.25, + "grad_norm": 1.7138636749148712, + "learning_rate": 1.759448719210944e-05, + "loss": 0.8597, + "step": 10557 + }, + { + "epoch": 0.25, + "grad_norm": 1.7258484360218616, + "learning_rate": 1.7593990760537836e-05, + "loss": 0.8537, + "step": 10558 + }, + { + "epoch": 0.25, + "grad_norm": 1.5932434657413563, + "learning_rate": 1.759349428475161e-05, + "loss": 0.8934, + "step": 10559 + }, + { + "epoch": 0.25, + "grad_norm": 1.7048065381228754, + "learning_rate": 1.7592997764753655e-05, + "loss": 0.8894, + "step": 10560 + }, + { + "epoch": 0.25, + "grad_norm": 1.7339110939409488, + "learning_rate": 1.7592501200546865e-05, + "loss": 0.8819, + "step": 10561 + }, + { + "epoch": 0.25, + "grad_norm": 2.012687746657968, + "learning_rate": 1.759200459213413e-05, + "loss": 1.0018, + "step": 10562 + }, + { + "epoch": 0.25, + "grad_norm": 1.558923041819284, + "learning_rate": 1.7591507939518342e-05, + "loss": 0.8879, + "step": 10563 + }, + { + "epoch": 0.25, + "grad_norm": 2.001591443210658, + "learning_rate": 1.7591011242702388e-05, + "loss": 1.0756, + "step": 10564 + }, + { + "epoch": 0.25, + "grad_norm": 1.4803476693985314, + "learning_rate": 1.7590514501689163e-05, + "loss": 0.76, + "step": 10565 + }, + { + "epoch": 0.25, + "grad_norm": 1.511726051243319, + "learning_rate": 1.759001771648156e-05, + "loss": 0.824, + "step": 10566 + }, + { + "epoch": 0.25, + "grad_norm": 1.7249060715425473, + "learning_rate": 1.7589520887082474e-05, + "loss": 0.9546, + "step": 10567 + }, + { + "epoch": 0.25, + "grad_norm": 1.7894835027184204, + "learning_rate": 1.7589024013494796e-05, + "loss": 0.8295, + "step": 10568 + }, + { + "epoch": 0.25, + "grad_norm": 1.9046885297041876, + "learning_rate": 1.758852709572141e-05, + "loss": 0.9417, + "step": 10569 + }, + { + "epoch": 0.25, + "grad_norm": 1.538120988245873, + "learning_rate": 1.7588030133765222e-05, + "loss": 0.9276, + "step": 10570 + }, + { + "epoch": 0.25, + "grad_norm": 1.737257213376762, + "learning_rate": 1.7587533127629123e-05, + "loss": 0.8451, + "step": 10571 + }, + { + "epoch": 0.25, + "grad_norm": 1.6456847592895647, + "learning_rate": 1.7587036077315996e-05, + "loss": 0.9808, + "step": 10572 + }, + { + "epoch": 0.25, + "grad_norm": 2.1258379929006583, + "learning_rate": 1.758653898282875e-05, + "loss": 0.9211, + "step": 10573 + }, + { + "epoch": 0.25, + "grad_norm": 1.6824440410913635, + "learning_rate": 1.758604184417027e-05, + "loss": 1.0531, + "step": 10574 + }, + { + "epoch": 0.25, + "grad_norm": 1.613487423561785, + "learning_rate": 1.7585544661343454e-05, + "loss": 0.9674, + "step": 10575 + }, + { + "epoch": 0.25, + "grad_norm": 0.8193615336719503, + "learning_rate": 1.758504743435119e-05, + "loss": 0.7221, + "step": 10576 + }, + { + "epoch": 0.25, + "grad_norm": 1.5419504195174025, + "learning_rate": 1.7584550163196382e-05, + "loss": 0.9926, + "step": 10577 + }, + { + "epoch": 0.25, + "grad_norm": 2.609997459710214, + "learning_rate": 1.758405284788192e-05, + "loss": 0.7669, + "step": 10578 + }, + { + "epoch": 0.25, + "grad_norm": 0.8196131971309233, + "learning_rate": 1.7583555488410703e-05, + "loss": 0.7519, + "step": 10579 + }, + { + "epoch": 0.25, + "grad_norm": 1.7832969674325585, + "learning_rate": 1.7583058084785626e-05, + "loss": 0.834, + "step": 10580 + }, + { + "epoch": 0.25, + "grad_norm": 0.8183932250081963, + "learning_rate": 1.7582560637009584e-05, + "loss": 0.7056, + "step": 10581 + }, + { + "epoch": 0.25, + "grad_norm": 1.5649569865104316, + "learning_rate": 1.7582063145085473e-05, + "loss": 0.9187, + "step": 10582 + }, + { + "epoch": 0.25, + "grad_norm": 1.6681006118634991, + "learning_rate": 1.7581565609016186e-05, + "loss": 0.7772, + "step": 10583 + }, + { + "epoch": 0.25, + "grad_norm": 1.4365710616118865, + "learning_rate": 1.758106802880463e-05, + "loss": 0.8813, + "step": 10584 + }, + { + "epoch": 0.25, + "grad_norm": 0.7849435011510051, + "learning_rate": 1.7580570404453693e-05, + "loss": 0.7119, + "step": 10585 + }, + { + "epoch": 0.25, + "grad_norm": 1.7472541227554816, + "learning_rate": 1.7580072735966275e-05, + "loss": 0.9482, + "step": 10586 + }, + { + "epoch": 0.25, + "grad_norm": 1.7710357415533824, + "learning_rate": 1.7579575023345273e-05, + "loss": 0.8302, + "step": 10587 + }, + { + "epoch": 0.25, + "grad_norm": 0.7382210902799831, + "learning_rate": 1.7579077266593587e-05, + "loss": 0.7644, + "step": 10588 + }, + { + "epoch": 0.25, + "grad_norm": 1.9554754707241033, + "learning_rate": 1.757857946571411e-05, + "loss": 0.9802, + "step": 10589 + }, + { + "epoch": 0.25, + "grad_norm": 1.8842740566722216, + "learning_rate": 1.7578081620709747e-05, + "loss": 0.9372, + "step": 10590 + }, + { + "epoch": 0.25, + "grad_norm": 1.799322686643781, + "learning_rate": 1.7577583731583396e-05, + "loss": 0.8991, + "step": 10591 + }, + { + "epoch": 0.25, + "grad_norm": 2.301373242057289, + "learning_rate": 1.757708579833795e-05, + "loss": 0.8812, + "step": 10592 + }, + { + "epoch": 0.25, + "grad_norm": 1.5565617118159973, + "learning_rate": 1.7576587820976315e-05, + "loss": 0.898, + "step": 10593 + }, + { + "epoch": 0.25, + "grad_norm": 1.7782600958962862, + "learning_rate": 1.7576089799501384e-05, + "loss": 0.8405, + "step": 10594 + }, + { + "epoch": 0.25, + "grad_norm": 1.8081273574293557, + "learning_rate": 1.757559173391606e-05, + "loss": 0.8854, + "step": 10595 + }, + { + "epoch": 0.25, + "grad_norm": 1.8192677458369186, + "learning_rate": 1.7575093624223243e-05, + "loss": 0.9473, + "step": 10596 + }, + { + "epoch": 0.25, + "grad_norm": 1.7023386887409302, + "learning_rate": 1.757459547042583e-05, + "loss": 0.812, + "step": 10597 + }, + { + "epoch": 0.25, + "grad_norm": 1.7728832433063537, + "learning_rate": 1.757409727252673e-05, + "loss": 0.8353, + "step": 10598 + }, + { + "epoch": 0.25, + "grad_norm": 6.600880167260463, + "learning_rate": 1.7573599030528834e-05, + "loss": 0.9292, + "step": 10599 + }, + { + "epoch": 0.25, + "grad_norm": 1.506397433130876, + "learning_rate": 1.7573100744435044e-05, + "loss": 0.7981, + "step": 10600 + }, + { + "epoch": 0.25, + "grad_norm": 1.7994112032823921, + "learning_rate": 1.757260241424827e-05, + "loss": 0.9167, + "step": 10601 + }, + { + "epoch": 0.25, + "grad_norm": 1.725726979364499, + "learning_rate": 1.7572104039971405e-05, + "loss": 0.8856, + "step": 10602 + }, + { + "epoch": 0.25, + "grad_norm": 1.5700986629885507, + "learning_rate": 1.757160562160735e-05, + "loss": 0.8332, + "step": 10603 + }, + { + "epoch": 0.25, + "grad_norm": 1.745214674327516, + "learning_rate": 1.7571107159159013e-05, + "loss": 0.9583, + "step": 10604 + }, + { + "epoch": 0.25, + "grad_norm": 1.5934054456988316, + "learning_rate": 1.757060865262929e-05, + "loss": 0.9361, + "step": 10605 + }, + { + "epoch": 0.25, + "grad_norm": 1.5539410133317149, + "learning_rate": 1.757011010202109e-05, + "loss": 0.9117, + "step": 10606 + }, + { + "epoch": 0.25, + "grad_norm": 0.7860185271320592, + "learning_rate": 1.756961150733731e-05, + "loss": 0.7816, + "step": 10607 + }, + { + "epoch": 0.25, + "grad_norm": 1.4421099080030793, + "learning_rate": 1.756911286858086e-05, + "loss": 0.8973, + "step": 10608 + }, + { + "epoch": 0.25, + "grad_norm": 1.969464967175546, + "learning_rate": 1.7568614185754635e-05, + "loss": 0.8398, + "step": 10609 + }, + { + "epoch": 0.25, + "grad_norm": 1.6655479905591404, + "learning_rate": 1.7568115458861542e-05, + "loss": 0.9786, + "step": 10610 + }, + { + "epoch": 0.25, + "grad_norm": 2.19328233098124, + "learning_rate": 1.7567616687904484e-05, + "loss": 0.8814, + "step": 10611 + }, + { + "epoch": 0.25, + "grad_norm": 1.4739253112179562, + "learning_rate": 1.7567117872886368e-05, + "loss": 0.8079, + "step": 10612 + }, + { + "epoch": 0.25, + "grad_norm": 1.557396998358071, + "learning_rate": 1.7566619013810094e-05, + "loss": 0.9301, + "step": 10613 + }, + { + "epoch": 0.25, + "grad_norm": 1.5660824630938555, + "learning_rate": 1.7566120110678572e-05, + "loss": 0.9043, + "step": 10614 + }, + { + "epoch": 0.25, + "grad_norm": 0.807289405726736, + "learning_rate": 1.7565621163494697e-05, + "loss": 0.7711, + "step": 10615 + }, + { + "epoch": 0.25, + "grad_norm": 1.8469964394002252, + "learning_rate": 1.7565122172261384e-05, + "loss": 0.8873, + "step": 10616 + }, + { + "epoch": 0.25, + "grad_norm": 1.7292922349539417, + "learning_rate": 1.7564623136981532e-05, + "loss": 0.8471, + "step": 10617 + }, + { + "epoch": 0.25, + "grad_norm": 1.0022144441026783, + "learning_rate": 1.7564124057658057e-05, + "loss": 0.7754, + "step": 10618 + }, + { + "epoch": 0.25, + "grad_norm": 1.7447947822112704, + "learning_rate": 1.756362493429385e-05, + "loss": 0.8043, + "step": 10619 + }, + { + "epoch": 0.25, + "grad_norm": 1.661928011599705, + "learning_rate": 1.7563125766891826e-05, + "loss": 0.9151, + "step": 10620 + }, + { + "epoch": 0.25, + "grad_norm": 1.4776703952812564, + "learning_rate": 1.7562626555454887e-05, + "loss": 0.8837, + "step": 10621 + }, + { + "epoch": 0.25, + "grad_norm": 1.5173371679789749, + "learning_rate": 1.7562127299985944e-05, + "loss": 0.9041, + "step": 10622 + }, + { + "epoch": 0.25, + "grad_norm": 1.8567348173406912, + "learning_rate": 1.7561628000487902e-05, + "loss": 0.9459, + "step": 10623 + }, + { + "epoch": 0.25, + "grad_norm": 1.6429573627978378, + "learning_rate": 1.7561128656963667e-05, + "loss": 0.9804, + "step": 10624 + }, + { + "epoch": 0.25, + "grad_norm": 1.8898719460582418, + "learning_rate": 1.756062926941615e-05, + "loss": 0.9111, + "step": 10625 + }, + { + "epoch": 0.25, + "grad_norm": 2.0026824324190793, + "learning_rate": 1.7560129837848255e-05, + "loss": 0.9007, + "step": 10626 + }, + { + "epoch": 0.25, + "grad_norm": 1.6961478806387058, + "learning_rate": 1.755963036226289e-05, + "loss": 0.8721, + "step": 10627 + }, + { + "epoch": 0.25, + "grad_norm": 1.7357688925859023, + "learning_rate": 1.755913084266296e-05, + "loss": 0.9726, + "step": 10628 + }, + { + "epoch": 0.25, + "grad_norm": 1.5569428737509232, + "learning_rate": 1.755863127905138e-05, + "loss": 0.8922, + "step": 10629 + }, + { + "epoch": 0.25, + "grad_norm": 0.8422108776055632, + "learning_rate": 1.7558131671431056e-05, + "loss": 0.7693, + "step": 10630 + }, + { + "epoch": 0.25, + "grad_norm": 2.083097090184993, + "learning_rate": 1.7557632019804894e-05, + "loss": 0.8477, + "step": 10631 + }, + { + "epoch": 0.25, + "grad_norm": 1.8951387254874354, + "learning_rate": 1.755713232417581e-05, + "loss": 0.9176, + "step": 10632 + }, + { + "epoch": 0.25, + "grad_norm": 1.6540257892138264, + "learning_rate": 1.7556632584546705e-05, + "loss": 0.8804, + "step": 10633 + }, + { + "epoch": 0.25, + "grad_norm": 0.8198375128210039, + "learning_rate": 1.7556132800920494e-05, + "loss": 0.7653, + "step": 10634 + }, + { + "epoch": 0.25, + "grad_norm": 0.7743550402652041, + "learning_rate": 1.7555632973300087e-05, + "loss": 0.7148, + "step": 10635 + }, + { + "epoch": 0.25, + "grad_norm": 1.5424637178481748, + "learning_rate": 1.755513310168839e-05, + "loss": 0.9716, + "step": 10636 + }, + { + "epoch": 0.25, + "grad_norm": 1.6343801907414544, + "learning_rate": 1.755463318608832e-05, + "loss": 0.7634, + "step": 10637 + }, + { + "epoch": 0.25, + "grad_norm": 1.5192170719678322, + "learning_rate": 1.7554133226502782e-05, + "loss": 0.844, + "step": 10638 + }, + { + "epoch": 0.25, + "grad_norm": 1.6186627536902107, + "learning_rate": 1.755363322293469e-05, + "loss": 0.9608, + "step": 10639 + }, + { + "epoch": 0.25, + "grad_norm": 1.7105965047592202, + "learning_rate": 1.755313317538695e-05, + "loss": 0.8622, + "step": 10640 + }, + { + "epoch": 0.25, + "grad_norm": 1.589187621777294, + "learning_rate": 1.755263308386248e-05, + "loss": 0.8626, + "step": 10641 + }, + { + "epoch": 0.25, + "grad_norm": 0.8031833654471183, + "learning_rate": 1.755213294836419e-05, + "loss": 0.7669, + "step": 10642 + }, + { + "epoch": 0.25, + "grad_norm": 1.530919890087968, + "learning_rate": 1.755163276889499e-05, + "loss": 0.8418, + "step": 10643 + }, + { + "epoch": 0.25, + "grad_norm": 0.7889981156338075, + "learning_rate": 1.7551132545457793e-05, + "loss": 0.6684, + "step": 10644 + }, + { + "epoch": 0.25, + "grad_norm": 1.8200082202930792, + "learning_rate": 1.7550632278055514e-05, + "loss": 0.8285, + "step": 10645 + }, + { + "epoch": 0.25, + "grad_norm": 1.541149358931869, + "learning_rate": 1.7550131966691057e-05, + "loss": 0.9703, + "step": 10646 + }, + { + "epoch": 0.25, + "grad_norm": 1.8764844947385781, + "learning_rate": 1.7549631611367345e-05, + "loss": 0.9186, + "step": 10647 + }, + { + "epoch": 0.25, + "grad_norm": 2.331534335909335, + "learning_rate": 1.7549131212087288e-05, + "loss": 0.7879, + "step": 10648 + }, + { + "epoch": 0.25, + "grad_norm": 1.781464552901554, + "learning_rate": 1.75486307688538e-05, + "loss": 1.0926, + "step": 10649 + }, + { + "epoch": 0.25, + "grad_norm": 1.8816836552973955, + "learning_rate": 1.7548130281669793e-05, + "loss": 0.9166, + "step": 10650 + }, + { + "epoch": 0.25, + "grad_norm": 1.6728118939033287, + "learning_rate": 1.7547629750538182e-05, + "loss": 0.9797, + "step": 10651 + }, + { + "epoch": 0.25, + "grad_norm": 1.5611379203360252, + "learning_rate": 1.7547129175461882e-05, + "loss": 0.9209, + "step": 10652 + }, + { + "epoch": 0.25, + "grad_norm": 1.5907538564335186, + "learning_rate": 1.7546628556443806e-05, + "loss": 0.828, + "step": 10653 + }, + { + "epoch": 0.25, + "grad_norm": 1.5966905010218853, + "learning_rate": 1.754612789348687e-05, + "loss": 0.7979, + "step": 10654 + }, + { + "epoch": 0.25, + "grad_norm": 0.8009755516890303, + "learning_rate": 1.7545627186593986e-05, + "loss": 0.7835, + "step": 10655 + }, + { + "epoch": 0.25, + "grad_norm": 1.6252159230021934, + "learning_rate": 1.754512643576807e-05, + "loss": 0.8485, + "step": 10656 + }, + { + "epoch": 0.25, + "grad_norm": 1.6730627279936947, + "learning_rate": 1.7544625641012044e-05, + "loss": 0.9533, + "step": 10657 + }, + { + "epoch": 0.25, + "grad_norm": 1.4279505178392577, + "learning_rate": 1.7544124802328814e-05, + "loss": 0.9356, + "step": 10658 + }, + { + "epoch": 0.25, + "grad_norm": 1.5464736744568168, + "learning_rate": 1.7543623919721305e-05, + "loss": 0.8701, + "step": 10659 + }, + { + "epoch": 0.25, + "grad_norm": 1.9437403444751513, + "learning_rate": 1.754312299319243e-05, + "loss": 0.9076, + "step": 10660 + }, + { + "epoch": 0.25, + "grad_norm": 1.6875612172404644, + "learning_rate": 1.7542622022745102e-05, + "loss": 0.88, + "step": 10661 + }, + { + "epoch": 0.25, + "grad_norm": 2.1722363334197987, + "learning_rate": 1.754212100838224e-05, + "loss": 1.0186, + "step": 10662 + }, + { + "epoch": 0.25, + "grad_norm": 1.6609185364686438, + "learning_rate": 1.7541619950106764e-05, + "loss": 1.004, + "step": 10663 + }, + { + "epoch": 0.25, + "grad_norm": 1.8654509470288818, + "learning_rate": 1.7541118847921586e-05, + "loss": 0.9298, + "step": 10664 + }, + { + "epoch": 0.25, + "grad_norm": 1.786020744658914, + "learning_rate": 1.754061770182963e-05, + "loss": 0.8677, + "step": 10665 + }, + { + "epoch": 0.25, + "grad_norm": 1.7111836339480688, + "learning_rate": 1.754011651183381e-05, + "loss": 0.7805, + "step": 10666 + }, + { + "epoch": 0.25, + "grad_norm": 2.0058981304129837, + "learning_rate": 1.7539615277937045e-05, + "loss": 0.9418, + "step": 10667 + }, + { + "epoch": 0.25, + "grad_norm": 1.480372343228599, + "learning_rate": 1.753911400014225e-05, + "loss": 0.9055, + "step": 10668 + }, + { + "epoch": 0.25, + "grad_norm": 1.806389925113204, + "learning_rate": 1.753861267845235e-05, + "loss": 0.8533, + "step": 10669 + }, + { + "epoch": 0.25, + "grad_norm": 1.4528812468902745, + "learning_rate": 1.7538111312870255e-05, + "loss": 0.9081, + "step": 10670 + }, + { + "epoch": 0.25, + "grad_norm": 1.7164731944190534, + "learning_rate": 1.7537609903398895e-05, + "loss": 1.0166, + "step": 10671 + }, + { + "epoch": 0.25, + "grad_norm": 2.4365821044869085, + "learning_rate": 1.7537108450041182e-05, + "loss": 0.8741, + "step": 10672 + }, + { + "epoch": 0.25, + "grad_norm": 0.7490054025065658, + "learning_rate": 1.7536606952800034e-05, + "loss": 0.7027, + "step": 10673 + }, + { + "epoch": 0.25, + "grad_norm": 7.549899059809289, + "learning_rate": 1.753610541167838e-05, + "loss": 0.9212, + "step": 10674 + }, + { + "epoch": 0.25, + "grad_norm": 1.5462351650931985, + "learning_rate": 1.7535603826679132e-05, + "loss": 0.8886, + "step": 10675 + }, + { + "epoch": 0.25, + "grad_norm": 2.724075157433689, + "learning_rate": 1.7535102197805212e-05, + "loss": 0.7271, + "step": 10676 + }, + { + "epoch": 0.25, + "grad_norm": 1.6196225993043984, + "learning_rate": 1.753460052505954e-05, + "loss": 0.8091, + "step": 10677 + }, + { + "epoch": 0.25, + "grad_norm": 1.5473456509269803, + "learning_rate": 1.753409880844504e-05, + "loss": 0.9775, + "step": 10678 + }, + { + "epoch": 0.25, + "grad_norm": 1.795137150937844, + "learning_rate": 1.7533597047964633e-05, + "loss": 0.8921, + "step": 10679 + }, + { + "epoch": 0.25, + "grad_norm": 1.806655809412758, + "learning_rate": 1.7533095243621237e-05, + "loss": 0.9446, + "step": 10680 + }, + { + "epoch": 0.25, + "grad_norm": 1.5439595875390781, + "learning_rate": 1.7532593395417775e-05, + "loss": 1.0297, + "step": 10681 + }, + { + "epoch": 0.25, + "grad_norm": 2.258461754397175, + "learning_rate": 1.7532091503357172e-05, + "loss": 0.906, + "step": 10682 + }, + { + "epoch": 0.25, + "grad_norm": 1.5513769221198537, + "learning_rate": 1.7531589567442347e-05, + "loss": 0.9179, + "step": 10683 + }, + { + "epoch": 0.25, + "grad_norm": 1.8452386723154792, + "learning_rate": 1.7531087587676223e-05, + "loss": 0.8819, + "step": 10684 + }, + { + "epoch": 0.25, + "grad_norm": 1.567394087207208, + "learning_rate": 1.753058556406172e-05, + "loss": 0.8658, + "step": 10685 + }, + { + "epoch": 0.25, + "grad_norm": 1.692338397548806, + "learning_rate": 1.7530083496601763e-05, + "loss": 0.9373, + "step": 10686 + }, + { + "epoch": 0.25, + "grad_norm": 2.682964579629334, + "learning_rate": 1.7529581385299283e-05, + "loss": 1.0222, + "step": 10687 + }, + { + "epoch": 0.25, + "grad_norm": 1.8907840246925918, + "learning_rate": 1.7529079230157192e-05, + "loss": 0.944, + "step": 10688 + }, + { + "epoch": 0.25, + "grad_norm": 2.956605502033506, + "learning_rate": 1.7528577031178416e-05, + "loss": 0.798, + "step": 10689 + }, + { + "epoch": 0.25, + "grad_norm": 1.6148455560773993, + "learning_rate": 1.7528074788365885e-05, + "loss": 1.0884, + "step": 10690 + }, + { + "epoch": 0.25, + "grad_norm": 1.655890097432084, + "learning_rate": 1.7527572501722516e-05, + "loss": 1.0117, + "step": 10691 + }, + { + "epoch": 0.25, + "grad_norm": 1.652845011171343, + "learning_rate": 1.7527070171251236e-05, + "loss": 0.8381, + "step": 10692 + }, + { + "epoch": 0.25, + "grad_norm": 1.4523691978871567, + "learning_rate": 1.7526567796954973e-05, + "loss": 0.856, + "step": 10693 + }, + { + "epoch": 0.25, + "grad_norm": 1.942060361976154, + "learning_rate": 1.752606537883665e-05, + "loss": 0.8851, + "step": 10694 + }, + { + "epoch": 0.25, + "grad_norm": 1.558245784280649, + "learning_rate": 1.752556291689919e-05, + "loss": 0.9631, + "step": 10695 + }, + { + "epoch": 0.25, + "grad_norm": 1.3385211258792369, + "learning_rate": 1.752506041114552e-05, + "loss": 0.8713, + "step": 10696 + }, + { + "epoch": 0.25, + "grad_norm": 1.6753472577647512, + "learning_rate": 1.7524557861578567e-05, + "loss": 0.9624, + "step": 10697 + }, + { + "epoch": 0.25, + "grad_norm": 1.9151981111634486, + "learning_rate": 1.7524055268201254e-05, + "loss": 0.9044, + "step": 10698 + }, + { + "epoch": 0.25, + "grad_norm": 1.5757887023242227, + "learning_rate": 1.752355263101651e-05, + "loss": 0.8917, + "step": 10699 + }, + { + "epoch": 0.25, + "grad_norm": 1.4996881381787786, + "learning_rate": 1.7523049950027263e-05, + "loss": 1.0007, + "step": 10700 + }, + { + "epoch": 0.25, + "grad_norm": 1.4302200224948616, + "learning_rate": 1.7522547225236434e-05, + "loss": 1.0026, + "step": 10701 + }, + { + "epoch": 0.25, + "grad_norm": 1.5548119867672485, + "learning_rate": 1.7522044456646957e-05, + "loss": 1.0305, + "step": 10702 + }, + { + "epoch": 0.25, + "grad_norm": 1.8663578485115349, + "learning_rate": 1.7521541644261754e-05, + "loss": 1.0073, + "step": 10703 + }, + { + "epoch": 0.25, + "grad_norm": 1.5772188208954618, + "learning_rate": 1.7521038788083755e-05, + "loss": 0.89, + "step": 10704 + }, + { + "epoch": 0.25, + "grad_norm": 1.5890209912154776, + "learning_rate": 1.7520535888115887e-05, + "loss": 0.923, + "step": 10705 + }, + { + "epoch": 0.25, + "grad_norm": 1.8967522447232057, + "learning_rate": 1.7520032944361074e-05, + "loss": 0.8811, + "step": 10706 + }, + { + "epoch": 0.25, + "grad_norm": 1.6986243687919647, + "learning_rate": 1.751952995682225e-05, + "loss": 0.8311, + "step": 10707 + }, + { + "epoch": 0.25, + "grad_norm": 1.725562391514474, + "learning_rate": 1.7519026925502344e-05, + "loss": 0.9156, + "step": 10708 + }, + { + "epoch": 0.25, + "grad_norm": 1.6819955297648368, + "learning_rate": 1.7518523850404285e-05, + "loss": 0.9619, + "step": 10709 + }, + { + "epoch": 0.25, + "grad_norm": 1.5782518992356407, + "learning_rate": 1.7518020731530998e-05, + "loss": 1.0322, + "step": 10710 + }, + { + "epoch": 0.25, + "grad_norm": 1.8116965149991744, + "learning_rate": 1.7517517568885413e-05, + "loss": 0.812, + "step": 10711 + }, + { + "epoch": 0.25, + "grad_norm": 1.797077862804859, + "learning_rate": 1.751701436247046e-05, + "loss": 0.9303, + "step": 10712 + }, + { + "epoch": 0.25, + "grad_norm": 1.67699170366327, + "learning_rate": 1.7516511112289068e-05, + "loss": 0.9727, + "step": 10713 + }, + { + "epoch": 0.25, + "grad_norm": 1.597097524364554, + "learning_rate": 1.751600781834417e-05, + "loss": 0.8608, + "step": 10714 + }, + { + "epoch": 0.25, + "grad_norm": 1.7465914203477018, + "learning_rate": 1.75155044806387e-05, + "loss": 0.9645, + "step": 10715 + }, + { + "epoch": 0.25, + "grad_norm": 0.7675210159762549, + "learning_rate": 1.7515001099175578e-05, + "loss": 0.7343, + "step": 10716 + }, + { + "epoch": 0.25, + "grad_norm": 1.7649469226745038, + "learning_rate": 1.751449767395774e-05, + "loss": 0.8622, + "step": 10717 + }, + { + "epoch": 0.25, + "grad_norm": 1.8563283001914908, + "learning_rate": 1.751399420498812e-05, + "loss": 1.093, + "step": 10718 + }, + { + "epoch": 0.25, + "grad_norm": 2.01812038857361, + "learning_rate": 1.751349069226965e-05, + "loss": 0.8685, + "step": 10719 + }, + { + "epoch": 0.25, + "grad_norm": 1.8542259397061542, + "learning_rate": 1.7512987135805254e-05, + "loss": 0.9114, + "step": 10720 + }, + { + "epoch": 0.25, + "grad_norm": 2.1356024560010005, + "learning_rate": 1.7512483535597868e-05, + "loss": 0.8332, + "step": 10721 + }, + { + "epoch": 0.25, + "grad_norm": 1.5906746229112156, + "learning_rate": 1.751197989165043e-05, + "loss": 1.1611, + "step": 10722 + }, + { + "epoch": 0.25, + "grad_norm": 1.6648072958197007, + "learning_rate": 1.7511476203965857e-05, + "loss": 0.8743, + "step": 10723 + }, + { + "epoch": 0.25, + "grad_norm": 1.8464973636512438, + "learning_rate": 1.75109724725471e-05, + "loss": 1.0983, + "step": 10724 + }, + { + "epoch": 0.25, + "grad_norm": 1.4731238068833599, + "learning_rate": 1.751046869739708e-05, + "loss": 0.9929, + "step": 10725 + }, + { + "epoch": 0.25, + "grad_norm": 1.839806954599682, + "learning_rate": 1.7509964878518736e-05, + "loss": 0.8854, + "step": 10726 + }, + { + "epoch": 0.25, + "grad_norm": 1.7664130358980052, + "learning_rate": 1.7509461015914992e-05, + "loss": 0.8492, + "step": 10727 + }, + { + "epoch": 0.25, + "grad_norm": 1.615811777488586, + "learning_rate": 1.7508957109588794e-05, + "loss": 0.9462, + "step": 10728 + }, + { + "epoch": 0.25, + "grad_norm": 1.7417928348951779, + "learning_rate": 1.7508453159543072e-05, + "loss": 0.8998, + "step": 10729 + }, + { + "epoch": 0.25, + "grad_norm": 1.7660545355698092, + "learning_rate": 1.7507949165780753e-05, + "loss": 1.008, + "step": 10730 + }, + { + "epoch": 0.25, + "grad_norm": 1.5912462710542552, + "learning_rate": 1.750744512830478e-05, + "loss": 0.8973, + "step": 10731 + }, + { + "epoch": 0.25, + "grad_norm": 1.985771071359004, + "learning_rate": 1.7506941047118084e-05, + "loss": 0.8276, + "step": 10732 + }, + { + "epoch": 0.25, + "grad_norm": 0.788625962003585, + "learning_rate": 1.7506436922223602e-05, + "loss": 0.7529, + "step": 10733 + }, + { + "epoch": 0.25, + "grad_norm": 1.755135604358449, + "learning_rate": 1.750593275362427e-05, + "loss": 0.8154, + "step": 10734 + }, + { + "epoch": 0.25, + "grad_norm": 1.6321299809563774, + "learning_rate": 1.750542854132302e-05, + "loss": 0.8639, + "step": 10735 + }, + { + "epoch": 0.25, + "grad_norm": 0.8660519678079723, + "learning_rate": 1.7504924285322782e-05, + "loss": 0.7804, + "step": 10736 + }, + { + "epoch": 0.25, + "grad_norm": 2.1245577003795892, + "learning_rate": 1.7504419985626504e-05, + "loss": 0.8029, + "step": 10737 + }, + { + "epoch": 0.25, + "grad_norm": 1.527185668014591, + "learning_rate": 1.7503915642237116e-05, + "loss": 0.9926, + "step": 10738 + }, + { + "epoch": 0.25, + "grad_norm": 0.8540460548099599, + "learning_rate": 1.7503411255157558e-05, + "loss": 0.7725, + "step": 10739 + }, + { + "epoch": 0.25, + "grad_norm": 1.8935263020122581, + "learning_rate": 1.750290682439076e-05, + "loss": 0.9757, + "step": 10740 + }, + { + "epoch": 0.25, + "grad_norm": 1.6086255864507943, + "learning_rate": 1.7502402349939667e-05, + "loss": 0.8556, + "step": 10741 + }, + { + "epoch": 0.25, + "grad_norm": 1.5915557856105529, + "learning_rate": 1.750189783180721e-05, + "loss": 0.8626, + "step": 10742 + }, + { + "epoch": 0.25, + "grad_norm": 2.0000040501868086, + "learning_rate": 1.7501393269996332e-05, + "loss": 0.7828, + "step": 10743 + }, + { + "epoch": 0.25, + "grad_norm": 1.5245724100136642, + "learning_rate": 1.7500888664509962e-05, + "loss": 0.9156, + "step": 10744 + }, + { + "epoch": 0.25, + "grad_norm": 1.7760862450867105, + "learning_rate": 1.7500384015351048e-05, + "loss": 0.9049, + "step": 10745 + }, + { + "epoch": 0.25, + "grad_norm": 1.6209512607195609, + "learning_rate": 1.7499879322522524e-05, + "loss": 0.9194, + "step": 10746 + }, + { + "epoch": 0.25, + "grad_norm": 0.7912468195042696, + "learning_rate": 1.7499374586027323e-05, + "loss": 0.7303, + "step": 10747 + }, + { + "epoch": 0.25, + "grad_norm": 1.661605827604434, + "learning_rate": 1.7498869805868394e-05, + "loss": 0.8336, + "step": 10748 + }, + { + "epoch": 0.25, + "grad_norm": 1.5809673428559996, + "learning_rate": 1.749836498204867e-05, + "loss": 0.8887, + "step": 10749 + }, + { + "epoch": 0.25, + "grad_norm": 1.8848415952094302, + "learning_rate": 1.749786011457109e-05, + "loss": 0.8768, + "step": 10750 + }, + { + "epoch": 0.25, + "grad_norm": 1.7102856696871627, + "learning_rate": 1.7497355203438594e-05, + "loss": 0.9132, + "step": 10751 + }, + { + "epoch": 0.25, + "grad_norm": 1.7417831474869205, + "learning_rate": 1.7496850248654123e-05, + "loss": 0.9125, + "step": 10752 + }, + { + "epoch": 0.25, + "grad_norm": 1.7450379393741458, + "learning_rate": 1.7496345250220617e-05, + "loss": 0.9561, + "step": 10753 + }, + { + "epoch": 0.25, + "grad_norm": 1.7085881021398766, + "learning_rate": 1.7495840208141015e-05, + "loss": 0.8456, + "step": 10754 + }, + { + "epoch": 0.25, + "grad_norm": 2.277810400449216, + "learning_rate": 1.749533512241826e-05, + "loss": 0.9867, + "step": 10755 + }, + { + "epoch": 0.25, + "grad_norm": 2.0703920224977757, + "learning_rate": 1.7494829993055288e-05, + "loss": 0.9517, + "step": 10756 + }, + { + "epoch": 0.25, + "grad_norm": 2.7961546168321725, + "learning_rate": 1.7494324820055045e-05, + "loss": 0.8826, + "step": 10757 + }, + { + "epoch": 0.25, + "grad_norm": 1.5893927439040971, + "learning_rate": 1.7493819603420468e-05, + "loss": 1.0328, + "step": 10758 + }, + { + "epoch": 0.25, + "grad_norm": 2.3989432821920453, + "learning_rate": 1.7493314343154503e-05, + "loss": 0.9253, + "step": 10759 + }, + { + "epoch": 0.25, + "grad_norm": 2.035120584887918, + "learning_rate": 1.7492809039260086e-05, + "loss": 0.8294, + "step": 10760 + }, + { + "epoch": 0.25, + "grad_norm": 1.615364325249829, + "learning_rate": 1.7492303691740166e-05, + "loss": 0.8507, + "step": 10761 + }, + { + "epoch": 0.25, + "grad_norm": 1.7426969314181817, + "learning_rate": 1.7491798300597684e-05, + "loss": 0.9068, + "step": 10762 + }, + { + "epoch": 0.25, + "grad_norm": 1.531753449255459, + "learning_rate": 1.7491292865835576e-05, + "loss": 0.9153, + "step": 10763 + }, + { + "epoch": 0.25, + "grad_norm": 1.7773587676379285, + "learning_rate": 1.749078738745679e-05, + "loss": 0.875, + "step": 10764 + }, + { + "epoch": 0.25, + "grad_norm": 0.7606923258919677, + "learning_rate": 1.7490281865464268e-05, + "loss": 0.7153, + "step": 10765 + }, + { + "epoch": 0.25, + "grad_norm": 1.5926152751542237, + "learning_rate": 1.748977629986096e-05, + "loss": 0.845, + "step": 10766 + }, + { + "epoch": 0.25, + "grad_norm": 1.6411319318825, + "learning_rate": 1.7489270690649794e-05, + "loss": 0.8682, + "step": 10767 + }, + { + "epoch": 0.25, + "grad_norm": 1.5323532704485467, + "learning_rate": 1.748876503783373e-05, + "loss": 1.0566, + "step": 10768 + }, + { + "epoch": 0.25, + "grad_norm": 1.6122294131091919, + "learning_rate": 1.7488259341415702e-05, + "loss": 0.9292, + "step": 10769 + }, + { + "epoch": 0.25, + "grad_norm": 1.6120773083397348, + "learning_rate": 1.7487753601398655e-05, + "loss": 0.8242, + "step": 10770 + }, + { + "epoch": 0.25, + "grad_norm": 1.5183834854900229, + "learning_rate": 1.748724781778554e-05, + "loss": 0.9542, + "step": 10771 + }, + { + "epoch": 0.25, + "grad_norm": 2.408672732294936, + "learning_rate": 1.7486741990579298e-05, + "loss": 1.1188, + "step": 10772 + }, + { + "epoch": 0.25, + "grad_norm": 0.7694618725122095, + "learning_rate": 1.748623611978287e-05, + "loss": 0.7014, + "step": 10773 + }, + { + "epoch": 0.25, + "grad_norm": 1.7388066149028136, + "learning_rate": 1.7485730205399208e-05, + "loss": 0.8866, + "step": 10774 + }, + { + "epoch": 0.25, + "grad_norm": 1.816378416933217, + "learning_rate": 1.7485224247431255e-05, + "loss": 0.7923, + "step": 10775 + }, + { + "epoch": 0.25, + "grad_norm": 1.6769987542381104, + "learning_rate": 1.7484718245881957e-05, + "loss": 0.9368, + "step": 10776 + }, + { + "epoch": 0.25, + "grad_norm": 1.9199557176793736, + "learning_rate": 1.7484212200754256e-05, + "loss": 0.9006, + "step": 10777 + }, + { + "epoch": 0.25, + "grad_norm": 0.7979098096695384, + "learning_rate": 1.7483706112051105e-05, + "loss": 0.7338, + "step": 10778 + }, + { + "epoch": 0.25, + "grad_norm": 1.4813196634485926, + "learning_rate": 1.7483199979775447e-05, + "loss": 0.9475, + "step": 10779 + }, + { + "epoch": 0.25, + "grad_norm": 1.5920329193906186, + "learning_rate": 1.7482693803930228e-05, + "loss": 0.9986, + "step": 10780 + }, + { + "epoch": 0.25, + "grad_norm": 0.7588253029462328, + "learning_rate": 1.7482187584518397e-05, + "loss": 0.7434, + "step": 10781 + }, + { + "epoch": 0.25, + "grad_norm": 1.95646387523873, + "learning_rate": 1.7481681321542906e-05, + "loss": 0.7857, + "step": 10782 + }, + { + "epoch": 0.25, + "grad_norm": 1.8954536963296473, + "learning_rate": 1.7481175015006693e-05, + "loss": 0.8628, + "step": 10783 + }, + { + "epoch": 0.25, + "grad_norm": 7.556515662582499, + "learning_rate": 1.748066866491271e-05, + "loss": 0.8411, + "step": 10784 + }, + { + "epoch": 0.25, + "grad_norm": 2.221464978679329, + "learning_rate": 1.748016227126391e-05, + "loss": 0.9243, + "step": 10785 + }, + { + "epoch": 0.25, + "grad_norm": 1.6135854271590815, + "learning_rate": 1.7479655834063235e-05, + "loss": 0.8245, + "step": 10786 + }, + { + "epoch": 0.25, + "grad_norm": 1.7470000236164063, + "learning_rate": 1.7479149353313635e-05, + "loss": 0.922, + "step": 10787 + }, + { + "epoch": 0.25, + "grad_norm": 1.7561949157635233, + "learning_rate": 1.747864282901806e-05, + "loss": 0.7713, + "step": 10788 + }, + { + "epoch": 0.25, + "grad_norm": 1.8380204523159365, + "learning_rate": 1.7478136261179458e-05, + "loss": 0.8874, + "step": 10789 + }, + { + "epoch": 0.25, + "grad_norm": 2.0559318854477926, + "learning_rate": 1.747762964980078e-05, + "loss": 0.7398, + "step": 10790 + }, + { + "epoch": 0.25, + "grad_norm": 2.341567843392128, + "learning_rate": 1.7477122994884973e-05, + "loss": 0.6961, + "step": 10791 + }, + { + "epoch": 0.25, + "grad_norm": 1.5909037084817284, + "learning_rate": 1.747661629643499e-05, + "loss": 0.8051, + "step": 10792 + }, + { + "epoch": 0.25, + "grad_norm": 1.9314118465653596, + "learning_rate": 1.7476109554453783e-05, + "loss": 0.8357, + "step": 10793 + }, + { + "epoch": 0.25, + "grad_norm": 1.6906778133083709, + "learning_rate": 1.7475602768944297e-05, + "loss": 0.832, + "step": 10794 + }, + { + "epoch": 0.25, + "grad_norm": 2.7549908953424054, + "learning_rate": 1.747509593990948e-05, + "loss": 0.9279, + "step": 10795 + }, + { + "epoch": 0.25, + "grad_norm": 1.552806565624126, + "learning_rate": 1.7474589067352296e-05, + "loss": 0.7769, + "step": 10796 + }, + { + "epoch": 0.25, + "grad_norm": 1.9010154571329523, + "learning_rate": 1.7474082151275683e-05, + "loss": 0.9107, + "step": 10797 + }, + { + "epoch": 0.25, + "grad_norm": 1.8640323469822808, + "learning_rate": 1.74735751916826e-05, + "loss": 1.0351, + "step": 10798 + }, + { + "epoch": 0.25, + "grad_norm": 1.9236999296546773, + "learning_rate": 1.747306818857599e-05, + "loss": 0.8556, + "step": 10799 + }, + { + "epoch": 0.25, + "grad_norm": 0.8860409049176943, + "learning_rate": 1.7472561141958818e-05, + "loss": 0.7899, + "step": 10800 + }, + { + "epoch": 0.25, + "grad_norm": 2.2017310400880477, + "learning_rate": 1.7472054051834028e-05, + "loss": 0.9254, + "step": 10801 + }, + { + "epoch": 0.25, + "grad_norm": 2.0733688011097198, + "learning_rate": 1.7471546918204575e-05, + "loss": 0.9469, + "step": 10802 + }, + { + "epoch": 0.25, + "grad_norm": 2.002844387441039, + "learning_rate": 1.7471039741073407e-05, + "loss": 0.8968, + "step": 10803 + }, + { + "epoch": 0.25, + "grad_norm": 1.6542503950039356, + "learning_rate": 1.7470532520443483e-05, + "loss": 1.0255, + "step": 10804 + }, + { + "epoch": 0.25, + "grad_norm": 1.8976430543722307, + "learning_rate": 1.7470025256317752e-05, + "loss": 0.8431, + "step": 10805 + }, + { + "epoch": 0.25, + "grad_norm": 1.5925009027162123, + "learning_rate": 1.7469517948699167e-05, + "loss": 0.973, + "step": 10806 + }, + { + "epoch": 0.25, + "grad_norm": 1.7746487665752047, + "learning_rate": 1.7469010597590688e-05, + "loss": 0.8957, + "step": 10807 + }, + { + "epoch": 0.25, + "grad_norm": 1.5908465442549613, + "learning_rate": 1.7468503202995263e-05, + "loss": 0.9168, + "step": 10808 + }, + { + "epoch": 0.25, + "grad_norm": 0.7815542785970059, + "learning_rate": 1.7467995764915847e-05, + "loss": 0.7493, + "step": 10809 + }, + { + "epoch": 0.25, + "grad_norm": 1.7420328061657269, + "learning_rate": 1.7467488283355396e-05, + "loss": 0.8681, + "step": 10810 + }, + { + "epoch": 0.25, + "grad_norm": 3.6966269080287444, + "learning_rate": 1.7466980758316864e-05, + "loss": 1.0143, + "step": 10811 + }, + { + "epoch": 0.25, + "grad_norm": 2.6429979863455766, + "learning_rate": 1.7466473189803203e-05, + "loss": 0.8802, + "step": 10812 + }, + { + "epoch": 0.25, + "grad_norm": 2.2317618886180983, + "learning_rate": 1.7465965577817375e-05, + "loss": 0.8698, + "step": 10813 + }, + { + "epoch": 0.25, + "grad_norm": 0.7735247075913033, + "learning_rate": 1.746545792236233e-05, + "loss": 0.7596, + "step": 10814 + }, + { + "epoch": 0.25, + "grad_norm": 1.6426176103523418, + "learning_rate": 1.7464950223441026e-05, + "loss": 0.8737, + "step": 10815 + }, + { + "epoch": 0.25, + "grad_norm": 0.7702650816794188, + "learning_rate": 1.7464442481056418e-05, + "loss": 0.6797, + "step": 10816 + }, + { + "epoch": 0.25, + "grad_norm": 1.5545216533980863, + "learning_rate": 1.7463934695211463e-05, + "loss": 0.8715, + "step": 10817 + }, + { + "epoch": 0.25, + "grad_norm": 1.3785610258179863, + "learning_rate": 1.7463426865909118e-05, + "loss": 0.8957, + "step": 10818 + }, + { + "epoch": 0.25, + "grad_norm": 1.732215717079353, + "learning_rate": 1.746291899315234e-05, + "loss": 0.9156, + "step": 10819 + }, + { + "epoch": 0.25, + "grad_norm": 1.7109970425071381, + "learning_rate": 1.7462411076944084e-05, + "loss": 0.8225, + "step": 10820 + }, + { + "epoch": 0.25, + "grad_norm": 0.7462743251505242, + "learning_rate": 1.7461903117287305e-05, + "loss": 0.7312, + "step": 10821 + }, + { + "epoch": 0.25, + "grad_norm": 1.5805474096917855, + "learning_rate": 1.746139511418497e-05, + "loss": 0.8598, + "step": 10822 + }, + { + "epoch": 0.25, + "grad_norm": 1.9319848592444266, + "learning_rate": 1.7460887067640025e-05, + "loss": 0.9124, + "step": 10823 + }, + { + "epoch": 0.26, + "grad_norm": 1.6115954513309345, + "learning_rate": 1.7460378977655432e-05, + "loss": 0.8764, + "step": 10824 + }, + { + "epoch": 0.26, + "grad_norm": 1.8034772779344261, + "learning_rate": 1.7459870844234154e-05, + "loss": 0.8656, + "step": 10825 + }, + { + "epoch": 0.26, + "grad_norm": 1.6781666232546302, + "learning_rate": 1.745936266737915e-05, + "loss": 0.9976, + "step": 10826 + }, + { + "epoch": 0.26, + "grad_norm": 1.7455128033424352, + "learning_rate": 1.745885444709337e-05, + "loss": 0.8905, + "step": 10827 + }, + { + "epoch": 0.26, + "grad_norm": 1.8257382971775256, + "learning_rate": 1.7458346183379778e-05, + "loss": 0.8571, + "step": 10828 + }, + { + "epoch": 0.26, + "grad_norm": 2.119319688300801, + "learning_rate": 1.7457837876241332e-05, + "loss": 0.8643, + "step": 10829 + }, + { + "epoch": 0.26, + "grad_norm": 1.9205486556584417, + "learning_rate": 1.7457329525680996e-05, + "loss": 0.9772, + "step": 10830 + }, + { + "epoch": 0.26, + "grad_norm": 1.7027291100919826, + "learning_rate": 1.7456821131701724e-05, + "loss": 0.8661, + "step": 10831 + }, + { + "epoch": 0.26, + "grad_norm": 1.6778864467571002, + "learning_rate": 1.745631269430648e-05, + "loss": 0.8991, + "step": 10832 + }, + { + "epoch": 0.26, + "grad_norm": 2.034779704022088, + "learning_rate": 1.7455804213498223e-05, + "loss": 1.0274, + "step": 10833 + }, + { + "epoch": 0.26, + "grad_norm": 1.6279821798779563, + "learning_rate": 1.7455295689279913e-05, + "loss": 0.8612, + "step": 10834 + }, + { + "epoch": 0.26, + "grad_norm": 1.509036849138934, + "learning_rate": 1.745478712165451e-05, + "loss": 0.9898, + "step": 10835 + }, + { + "epoch": 0.26, + "grad_norm": 1.7209137000779928, + "learning_rate": 1.745427851062498e-05, + "loss": 0.9146, + "step": 10836 + }, + { + "epoch": 0.26, + "grad_norm": 1.5993077907522657, + "learning_rate": 1.7453769856194277e-05, + "loss": 0.886, + "step": 10837 + }, + { + "epoch": 0.26, + "grad_norm": 1.8039577298319764, + "learning_rate": 1.7453261158365367e-05, + "loss": 0.77, + "step": 10838 + }, + { + "epoch": 0.26, + "grad_norm": 2.6911866726598284, + "learning_rate": 1.745275241714121e-05, + "loss": 0.9782, + "step": 10839 + }, + { + "epoch": 0.26, + "grad_norm": 1.5907328169700057, + "learning_rate": 1.745224363252477e-05, + "loss": 0.847, + "step": 10840 + }, + { + "epoch": 0.26, + "grad_norm": 1.735083014678998, + "learning_rate": 1.745173480451901e-05, + "loss": 0.911, + "step": 10841 + }, + { + "epoch": 0.26, + "grad_norm": 1.7946888282967752, + "learning_rate": 1.745122593312689e-05, + "loss": 0.8867, + "step": 10842 + }, + { + "epoch": 0.26, + "grad_norm": 1.7218218322355807, + "learning_rate": 1.745071701835137e-05, + "loss": 0.8912, + "step": 10843 + }, + { + "epoch": 0.26, + "grad_norm": 1.591153317171932, + "learning_rate": 1.7450208060195423e-05, + "loss": 0.8907, + "step": 10844 + }, + { + "epoch": 0.26, + "grad_norm": 1.8300225269052504, + "learning_rate": 1.7449699058662e-05, + "loss": 0.9924, + "step": 10845 + }, + { + "epoch": 0.26, + "grad_norm": 1.8487744945532463, + "learning_rate": 1.7449190013754075e-05, + "loss": 0.9841, + "step": 10846 + }, + { + "epoch": 0.26, + "grad_norm": 1.7031989005347419, + "learning_rate": 1.7448680925474605e-05, + "loss": 0.866, + "step": 10847 + }, + { + "epoch": 0.26, + "grad_norm": 1.7281541731312762, + "learning_rate": 1.7448171793826553e-05, + "loss": 0.8289, + "step": 10848 + }, + { + "epoch": 0.26, + "grad_norm": 1.494083222248021, + "learning_rate": 1.744766261881289e-05, + "loss": 0.8368, + "step": 10849 + }, + { + "epoch": 0.26, + "grad_norm": 1.8456241060458949, + "learning_rate": 1.7447153400436577e-05, + "loss": 0.8371, + "step": 10850 + }, + { + "epoch": 0.26, + "grad_norm": 1.878695931077512, + "learning_rate": 1.744664413870058e-05, + "loss": 0.8086, + "step": 10851 + }, + { + "epoch": 0.26, + "grad_norm": 5.451335119901995, + "learning_rate": 1.7446134833607863e-05, + "loss": 0.947, + "step": 10852 + }, + { + "epoch": 0.26, + "grad_norm": 1.731945169464345, + "learning_rate": 1.7445625485161393e-05, + "loss": 0.7785, + "step": 10853 + }, + { + "epoch": 0.26, + "grad_norm": 1.8019182612211888, + "learning_rate": 1.7445116093364133e-05, + "loss": 0.9742, + "step": 10854 + }, + { + "epoch": 0.26, + "grad_norm": 0.7677817243371077, + "learning_rate": 1.744460665821905e-05, + "loss": 0.7646, + "step": 10855 + }, + { + "epoch": 0.26, + "grad_norm": 2.02102802614974, + "learning_rate": 1.7444097179729112e-05, + "loss": 0.8976, + "step": 10856 + }, + { + "epoch": 0.26, + "grad_norm": 1.7160332782812824, + "learning_rate": 1.7443587657897278e-05, + "loss": 0.8596, + "step": 10857 + }, + { + "epoch": 0.26, + "grad_norm": 0.8012610982198907, + "learning_rate": 1.7443078092726525e-05, + "loss": 0.7525, + "step": 10858 + }, + { + "epoch": 0.26, + "grad_norm": 1.5976127817377705, + "learning_rate": 1.7442568484219812e-05, + "loss": 0.9883, + "step": 10859 + }, + { + "epoch": 0.26, + "grad_norm": 1.7209890200789055, + "learning_rate": 1.7442058832380113e-05, + "loss": 0.9114, + "step": 10860 + }, + { + "epoch": 0.26, + "grad_norm": 1.8291193036426001, + "learning_rate": 1.7441549137210386e-05, + "loss": 0.9511, + "step": 10861 + }, + { + "epoch": 0.26, + "grad_norm": 1.6913500090197942, + "learning_rate": 1.744103939871361e-05, + "loss": 0.8525, + "step": 10862 + }, + { + "epoch": 0.26, + "grad_norm": 2.178593614486722, + "learning_rate": 1.744052961689274e-05, + "loss": 1.001, + "step": 10863 + }, + { + "epoch": 0.26, + "grad_norm": 0.770775276955077, + "learning_rate": 1.7440019791750757e-05, + "loss": 0.6702, + "step": 10864 + }, + { + "epoch": 0.26, + "grad_norm": 1.809421953272047, + "learning_rate": 1.743950992329062e-05, + "loss": 0.9969, + "step": 10865 + }, + { + "epoch": 0.26, + "grad_norm": 1.4625703542987667, + "learning_rate": 1.74390000115153e-05, + "loss": 0.891, + "step": 10866 + }, + { + "epoch": 0.26, + "grad_norm": 1.5676078991280775, + "learning_rate": 1.743849005642777e-05, + "loss": 0.8269, + "step": 10867 + }, + { + "epoch": 0.26, + "grad_norm": 1.4395157536224286, + "learning_rate": 1.7437980058030993e-05, + "loss": 0.9735, + "step": 10868 + }, + { + "epoch": 0.26, + "grad_norm": 1.854808755369104, + "learning_rate": 1.7437470016327944e-05, + "loss": 0.857, + "step": 10869 + }, + { + "epoch": 0.26, + "grad_norm": 1.93484953961313, + "learning_rate": 1.743695993132159e-05, + "loss": 0.9803, + "step": 10870 + }, + { + "epoch": 0.26, + "grad_norm": 1.711567153547034, + "learning_rate": 1.74364498030149e-05, + "loss": 0.8915, + "step": 10871 + }, + { + "epoch": 0.26, + "grad_norm": 1.9862614941240497, + "learning_rate": 1.7435939631410845e-05, + "loss": 0.938, + "step": 10872 + }, + { + "epoch": 0.26, + "grad_norm": 1.9976975532048573, + "learning_rate": 1.7435429416512394e-05, + "loss": 0.9136, + "step": 10873 + }, + { + "epoch": 0.26, + "grad_norm": 0.7977538994920342, + "learning_rate": 1.7434919158322516e-05, + "loss": 0.7421, + "step": 10874 + }, + { + "epoch": 0.26, + "grad_norm": 1.7400244736657988, + "learning_rate": 1.743440885684419e-05, + "loss": 0.8593, + "step": 10875 + }, + { + "epoch": 0.26, + "grad_norm": 1.85799226281806, + "learning_rate": 1.743389851208038e-05, + "loss": 0.9283, + "step": 10876 + }, + { + "epoch": 0.26, + "grad_norm": 1.6730239400115763, + "learning_rate": 1.7433388124034062e-05, + "loss": 0.9582, + "step": 10877 + }, + { + "epoch": 0.26, + "grad_norm": 1.7394709403636421, + "learning_rate": 1.74328776927082e-05, + "loss": 0.8866, + "step": 10878 + }, + { + "epoch": 0.26, + "grad_norm": 2.0996231229187847, + "learning_rate": 1.7432367218105772e-05, + "loss": 1.0102, + "step": 10879 + }, + { + "epoch": 0.26, + "grad_norm": 2.6512689957232123, + "learning_rate": 1.7431856700229752e-05, + "loss": 0.9209, + "step": 10880 + }, + { + "epoch": 0.26, + "grad_norm": 1.8481394887374158, + "learning_rate": 1.7431346139083108e-05, + "loss": 0.9119, + "step": 10881 + }, + { + "epoch": 0.26, + "grad_norm": 0.7702004675770768, + "learning_rate": 1.7430835534668814e-05, + "loss": 0.7853, + "step": 10882 + }, + { + "epoch": 0.26, + "grad_norm": 1.4742817787198057, + "learning_rate": 1.7430324886989843e-05, + "loss": 0.9668, + "step": 10883 + }, + { + "epoch": 0.26, + "grad_norm": 2.0314117338596014, + "learning_rate": 1.7429814196049166e-05, + "loss": 0.9111, + "step": 10884 + }, + { + "epoch": 0.26, + "grad_norm": 1.5280489686405574, + "learning_rate": 1.7429303461849764e-05, + "loss": 0.9527, + "step": 10885 + }, + { + "epoch": 0.26, + "grad_norm": 1.6605691502210436, + "learning_rate": 1.74287926843946e-05, + "loss": 0.8302, + "step": 10886 + }, + { + "epoch": 0.26, + "grad_norm": 1.6757253914063432, + "learning_rate": 1.7428281863686654e-05, + "loss": 0.7967, + "step": 10887 + }, + { + "epoch": 0.26, + "grad_norm": 0.7946556243699298, + "learning_rate": 1.74277709997289e-05, + "loss": 0.7377, + "step": 10888 + }, + { + "epoch": 0.26, + "grad_norm": 1.7485294218942709, + "learning_rate": 1.742726009252431e-05, + "loss": 0.7816, + "step": 10889 + }, + { + "epoch": 0.26, + "grad_norm": 0.8002535112116782, + "learning_rate": 1.7426749142075863e-05, + "loss": 0.7383, + "step": 10890 + }, + { + "epoch": 0.26, + "grad_norm": 1.7713462987615258, + "learning_rate": 1.742623814838653e-05, + "loss": 0.843, + "step": 10891 + }, + { + "epoch": 0.26, + "grad_norm": 1.6511897440860392, + "learning_rate": 1.742572711145929e-05, + "loss": 0.8862, + "step": 10892 + }, + { + "epoch": 0.26, + "grad_norm": 1.5946746552989022, + "learning_rate": 1.7425216031297113e-05, + "loss": 0.9098, + "step": 10893 + }, + { + "epoch": 0.26, + "grad_norm": 1.6455882714088976, + "learning_rate": 1.7424704907902975e-05, + "loss": 0.8805, + "step": 10894 + }, + { + "epoch": 0.26, + "grad_norm": 1.6761970192856963, + "learning_rate": 1.742419374127986e-05, + "loss": 0.8414, + "step": 10895 + }, + { + "epoch": 0.26, + "grad_norm": 1.7522524127816768, + "learning_rate": 1.7423682531430736e-05, + "loss": 0.8686, + "step": 10896 + }, + { + "epoch": 0.26, + "grad_norm": 2.109629883146708, + "learning_rate": 1.742317127835858e-05, + "loss": 0.902, + "step": 10897 + }, + { + "epoch": 0.26, + "grad_norm": 1.5750594449290796, + "learning_rate": 1.7422659982066373e-05, + "loss": 0.9426, + "step": 10898 + }, + { + "epoch": 0.26, + "grad_norm": 1.5962653714389516, + "learning_rate": 1.7422148642557088e-05, + "loss": 0.9145, + "step": 10899 + }, + { + "epoch": 0.26, + "grad_norm": 0.7783733351579304, + "learning_rate": 1.7421637259833707e-05, + "loss": 0.7429, + "step": 10900 + }, + { + "epoch": 0.26, + "grad_norm": 1.5960645444189034, + "learning_rate": 1.7421125833899203e-05, + "loss": 0.796, + "step": 10901 + }, + { + "epoch": 0.26, + "grad_norm": 1.9326827928786317, + "learning_rate": 1.7420614364756553e-05, + "loss": 0.8306, + "step": 10902 + }, + { + "epoch": 0.26, + "grad_norm": 1.6247535617598603, + "learning_rate": 1.7420102852408735e-05, + "loss": 1.0651, + "step": 10903 + }, + { + "epoch": 0.26, + "grad_norm": 1.8089605953151857, + "learning_rate": 1.7419591296858733e-05, + "loss": 0.9678, + "step": 10904 + }, + { + "epoch": 0.26, + "grad_norm": 0.7740073419413355, + "learning_rate": 1.741907969810952e-05, + "loss": 0.7208, + "step": 10905 + }, + { + "epoch": 0.26, + "grad_norm": 1.5835614503370343, + "learning_rate": 1.7418568056164077e-05, + "loss": 0.9259, + "step": 10906 + }, + { + "epoch": 0.26, + "grad_norm": 1.7279735139888786, + "learning_rate": 1.7418056371025383e-05, + "loss": 0.7552, + "step": 10907 + }, + { + "epoch": 0.26, + "grad_norm": 0.7828566461020231, + "learning_rate": 1.7417544642696414e-05, + "loss": 0.7549, + "step": 10908 + }, + { + "epoch": 0.26, + "grad_norm": 1.8412745753373774, + "learning_rate": 1.741703287118015e-05, + "loss": 1.0531, + "step": 10909 + }, + { + "epoch": 0.26, + "grad_norm": 1.7250599935145656, + "learning_rate": 1.7416521056479577e-05, + "loss": 1.0259, + "step": 10910 + }, + { + "epoch": 0.26, + "grad_norm": 1.8898315142319304, + "learning_rate": 1.7416009198597668e-05, + "loss": 0.7804, + "step": 10911 + }, + { + "epoch": 0.26, + "grad_norm": 1.7183659478181579, + "learning_rate": 1.7415497297537407e-05, + "loss": 0.9535, + "step": 10912 + }, + { + "epoch": 0.26, + "grad_norm": 1.51243827189316, + "learning_rate": 1.7414985353301773e-05, + "loss": 0.9144, + "step": 10913 + }, + { + "epoch": 0.26, + "grad_norm": 0.8115613697338574, + "learning_rate": 1.7414473365893744e-05, + "loss": 0.7791, + "step": 10914 + }, + { + "epoch": 0.26, + "grad_norm": 1.72025229108135, + "learning_rate": 1.7413961335316305e-05, + "loss": 1.0226, + "step": 10915 + }, + { + "epoch": 0.26, + "grad_norm": 1.6437869255309772, + "learning_rate": 1.7413449261572437e-05, + "loss": 1.0565, + "step": 10916 + }, + { + "epoch": 0.26, + "grad_norm": 2.1353230817240827, + "learning_rate": 1.741293714466512e-05, + "loss": 0.8641, + "step": 10917 + }, + { + "epoch": 0.26, + "grad_norm": 2.2095712373933987, + "learning_rate": 1.7412424984597334e-05, + "loss": 0.8881, + "step": 10918 + }, + { + "epoch": 0.26, + "grad_norm": 0.796496238499999, + "learning_rate": 1.7411912781372066e-05, + "loss": 0.7417, + "step": 10919 + }, + { + "epoch": 0.26, + "grad_norm": 1.48971207057701, + "learning_rate": 1.7411400534992292e-05, + "loss": 0.8187, + "step": 10920 + }, + { + "epoch": 0.26, + "grad_norm": 1.6971508931210737, + "learning_rate": 1.7410888245461e-05, + "loss": 0.7572, + "step": 10921 + }, + { + "epoch": 0.26, + "grad_norm": 1.7416939885390057, + "learning_rate": 1.7410375912781173e-05, + "loss": 0.9427, + "step": 10922 + }, + { + "epoch": 0.26, + "grad_norm": 1.787205408807641, + "learning_rate": 1.7409863536955788e-05, + "loss": 1.0087, + "step": 10923 + }, + { + "epoch": 0.26, + "grad_norm": 1.721324510043915, + "learning_rate": 1.7409351117987833e-05, + "loss": 0.8241, + "step": 10924 + }, + { + "epoch": 0.26, + "grad_norm": 2.723565118648729, + "learning_rate": 1.7408838655880287e-05, + "loss": 0.9529, + "step": 10925 + }, + { + "epoch": 0.26, + "grad_norm": 1.7810695142985866, + "learning_rate": 1.7408326150636138e-05, + "loss": 1.063, + "step": 10926 + }, + { + "epoch": 0.26, + "grad_norm": 3.389727900146725, + "learning_rate": 1.740781360225837e-05, + "loss": 0.8554, + "step": 10927 + }, + { + "epoch": 0.26, + "grad_norm": 2.6563723629096336, + "learning_rate": 1.7407301010749967e-05, + "loss": 0.7891, + "step": 10928 + }, + { + "epoch": 0.26, + "grad_norm": 1.9122078551667663, + "learning_rate": 1.740678837611391e-05, + "loss": 0.8906, + "step": 10929 + }, + { + "epoch": 0.26, + "grad_norm": 1.9675822870203823, + "learning_rate": 1.7406275698353184e-05, + "loss": 0.9462, + "step": 10930 + }, + { + "epoch": 0.26, + "grad_norm": 1.5801998886927326, + "learning_rate": 1.740576297747078e-05, + "loss": 0.9159, + "step": 10931 + }, + { + "epoch": 0.26, + "grad_norm": 1.5828404641105365, + "learning_rate": 1.7405250213469678e-05, + "loss": 0.9214, + "step": 10932 + }, + { + "epoch": 0.26, + "grad_norm": 1.5603070796604022, + "learning_rate": 1.7404737406352866e-05, + "loss": 0.8301, + "step": 10933 + }, + { + "epoch": 0.26, + "grad_norm": 1.43867695190203, + "learning_rate": 1.7404224556123324e-05, + "loss": 0.8433, + "step": 10934 + }, + { + "epoch": 0.26, + "grad_norm": 1.8457641273117076, + "learning_rate": 1.740371166278405e-05, + "loss": 0.9102, + "step": 10935 + }, + { + "epoch": 0.26, + "grad_norm": 0.7311210866887723, + "learning_rate": 1.7403198726338017e-05, + "loss": 0.7307, + "step": 10936 + }, + { + "epoch": 0.26, + "grad_norm": 1.6138750975962157, + "learning_rate": 1.740268574678822e-05, + "loss": 0.9511, + "step": 10937 + }, + { + "epoch": 0.26, + "grad_norm": 1.6025104759518358, + "learning_rate": 1.7402172724137643e-05, + "loss": 0.9956, + "step": 10938 + }, + { + "epoch": 0.26, + "grad_norm": 1.439941065296839, + "learning_rate": 1.7401659658389268e-05, + "loss": 0.8788, + "step": 10939 + }, + { + "epoch": 0.26, + "grad_norm": 1.592753579454749, + "learning_rate": 1.7401146549546093e-05, + "loss": 0.8991, + "step": 10940 + }, + { + "epoch": 0.26, + "grad_norm": 1.7380545471333144, + "learning_rate": 1.7400633397611097e-05, + "loss": 0.9418, + "step": 10941 + }, + { + "epoch": 0.26, + "grad_norm": 1.6553973288716284, + "learning_rate": 1.7400120202587273e-05, + "loss": 0.9193, + "step": 10942 + }, + { + "epoch": 0.26, + "grad_norm": 1.8050470657430115, + "learning_rate": 1.7399606964477604e-05, + "loss": 0.9367, + "step": 10943 + }, + { + "epoch": 0.26, + "grad_norm": 1.8398826642872952, + "learning_rate": 1.7399093683285082e-05, + "loss": 0.8333, + "step": 10944 + }, + { + "epoch": 0.26, + "grad_norm": 1.714237865974463, + "learning_rate": 1.739858035901269e-05, + "loss": 0.9074, + "step": 10945 + }, + { + "epoch": 0.26, + "grad_norm": 1.6137595377293772, + "learning_rate": 1.7398066991663426e-05, + "loss": 0.9528, + "step": 10946 + }, + { + "epoch": 0.26, + "grad_norm": 1.7731493723577858, + "learning_rate": 1.7397553581240272e-05, + "loss": 0.7814, + "step": 10947 + }, + { + "epoch": 0.26, + "grad_norm": 1.404349349671131, + "learning_rate": 1.7397040127746215e-05, + "loss": 0.9551, + "step": 10948 + }, + { + "epoch": 0.26, + "grad_norm": 2.141528539300322, + "learning_rate": 1.7396526631184256e-05, + "loss": 0.8704, + "step": 10949 + }, + { + "epoch": 0.26, + "grad_norm": 1.7435010503827648, + "learning_rate": 1.739601309155737e-05, + "loss": 0.8635, + "step": 10950 + }, + { + "epoch": 0.26, + "grad_norm": 1.7377362365283504, + "learning_rate": 1.739549950886856e-05, + "loss": 0.8691, + "step": 10951 + }, + { + "epoch": 0.26, + "grad_norm": 0.8831094761807301, + "learning_rate": 1.7394985883120807e-05, + "loss": 0.7343, + "step": 10952 + }, + { + "epoch": 0.26, + "grad_norm": 1.8192538500221833, + "learning_rate": 1.7394472214317107e-05, + "loss": 0.8438, + "step": 10953 + }, + { + "epoch": 0.26, + "grad_norm": 1.7469009907212232, + "learning_rate": 1.7393958502460447e-05, + "loss": 0.8424, + "step": 10954 + }, + { + "epoch": 0.26, + "grad_norm": 1.6557701798986115, + "learning_rate": 1.739344474755382e-05, + "loss": 0.8632, + "step": 10955 + }, + { + "epoch": 0.26, + "grad_norm": 1.888308068175342, + "learning_rate": 1.7392930949600217e-05, + "loss": 0.8043, + "step": 10956 + }, + { + "epoch": 0.26, + "grad_norm": 1.7579638509197202, + "learning_rate": 1.739241710860263e-05, + "loss": 0.8998, + "step": 10957 + }, + { + "epoch": 0.26, + "grad_norm": 1.5396690510374988, + "learning_rate": 1.739190322456405e-05, + "loss": 0.9241, + "step": 10958 + }, + { + "epoch": 0.26, + "grad_norm": 1.6896072119319732, + "learning_rate": 1.7391389297487472e-05, + "loss": 0.8419, + "step": 10959 + }, + { + "epoch": 0.26, + "grad_norm": 1.4615938408330051, + "learning_rate": 1.739087532737588e-05, + "loss": 0.9285, + "step": 10960 + }, + { + "epoch": 0.26, + "grad_norm": 1.6826168902378074, + "learning_rate": 1.7390361314232275e-05, + "loss": 0.9837, + "step": 10961 + }, + { + "epoch": 0.26, + "grad_norm": 1.5627861100933205, + "learning_rate": 1.7389847258059646e-05, + "loss": 0.9307, + "step": 10962 + }, + { + "epoch": 0.26, + "grad_norm": 1.5671209940720765, + "learning_rate": 1.738933315886099e-05, + "loss": 0.9122, + "step": 10963 + }, + { + "epoch": 0.26, + "grad_norm": 1.484467158762391, + "learning_rate": 1.7388819016639292e-05, + "loss": 0.912, + "step": 10964 + }, + { + "epoch": 0.26, + "grad_norm": 1.8160538877043897, + "learning_rate": 1.738830483139755e-05, + "loss": 0.8353, + "step": 10965 + }, + { + "epoch": 0.26, + "grad_norm": 0.8042791811188081, + "learning_rate": 1.7387790603138764e-05, + "loss": 0.7007, + "step": 10966 + }, + { + "epoch": 0.26, + "grad_norm": 1.8936577659476632, + "learning_rate": 1.7387276331865916e-05, + "loss": 0.8102, + "step": 10967 + }, + { + "epoch": 0.26, + "grad_norm": 2.1236537377298728, + "learning_rate": 1.738676201758201e-05, + "loss": 0.9152, + "step": 10968 + }, + { + "epoch": 0.26, + "grad_norm": 0.9017463638674386, + "learning_rate": 1.7386247660290038e-05, + "loss": 0.7823, + "step": 10969 + }, + { + "epoch": 0.26, + "grad_norm": 1.6715990468537727, + "learning_rate": 1.738573325999299e-05, + "loss": 0.8896, + "step": 10970 + }, + { + "epoch": 0.26, + "grad_norm": 1.6453967920263857, + "learning_rate": 1.7385218816693864e-05, + "loss": 0.9314, + "step": 10971 + }, + { + "epoch": 0.26, + "grad_norm": 0.771634132696132, + "learning_rate": 1.738470433039566e-05, + "loss": 0.7907, + "step": 10972 + }, + { + "epoch": 0.26, + "grad_norm": 1.7808134332246832, + "learning_rate": 1.738418980110137e-05, + "loss": 0.7631, + "step": 10973 + }, + { + "epoch": 0.26, + "grad_norm": 1.63093989720974, + "learning_rate": 1.7383675228813986e-05, + "loss": 0.8512, + "step": 10974 + }, + { + "epoch": 0.26, + "grad_norm": 1.6761318395425786, + "learning_rate": 1.7383160613536508e-05, + "loss": 0.8435, + "step": 10975 + }, + { + "epoch": 0.26, + "grad_norm": 3.8560358191432824, + "learning_rate": 1.738264595527193e-05, + "loss": 1.0572, + "step": 10976 + }, + { + "epoch": 0.26, + "grad_norm": 2.025180626346289, + "learning_rate": 1.7382131254023252e-05, + "loss": 1.0333, + "step": 10977 + }, + { + "epoch": 0.26, + "grad_norm": 2.970764066322988, + "learning_rate": 1.7381616509793468e-05, + "loss": 0.9241, + "step": 10978 + }, + { + "epoch": 0.26, + "grad_norm": 1.8110425047373104, + "learning_rate": 1.7381101722585577e-05, + "loss": 0.8814, + "step": 10979 + }, + { + "epoch": 0.26, + "grad_norm": 0.7764962650981995, + "learning_rate": 1.7380586892402572e-05, + "loss": 0.7067, + "step": 10980 + }, + { + "epoch": 0.26, + "grad_norm": 1.5859241709837586, + "learning_rate": 1.7380072019247455e-05, + "loss": 0.8944, + "step": 10981 + }, + { + "epoch": 0.26, + "grad_norm": 1.6050744204372245, + "learning_rate": 1.7379557103123223e-05, + "loss": 0.8577, + "step": 10982 + }, + { + "epoch": 0.26, + "grad_norm": 2.0274963879593515, + "learning_rate": 1.7379042144032873e-05, + "loss": 1.0545, + "step": 10983 + }, + { + "epoch": 0.26, + "grad_norm": 0.7083933500954752, + "learning_rate": 1.7378527141979402e-05, + "loss": 0.6791, + "step": 10984 + }, + { + "epoch": 0.26, + "grad_norm": 1.4637128545889375, + "learning_rate": 1.7378012096965813e-05, + "loss": 0.9959, + "step": 10985 + }, + { + "epoch": 0.26, + "grad_norm": 1.511863567468387, + "learning_rate": 1.73774970089951e-05, + "loss": 0.9856, + "step": 10986 + }, + { + "epoch": 0.26, + "grad_norm": 0.776965958706754, + "learning_rate": 1.7376981878070265e-05, + "loss": 0.7313, + "step": 10987 + }, + { + "epoch": 0.26, + "grad_norm": 2.34682174168128, + "learning_rate": 1.73764667041943e-05, + "loss": 0.9156, + "step": 10988 + }, + { + "epoch": 0.26, + "grad_norm": 1.8721218903594674, + "learning_rate": 1.737595148737022e-05, + "loss": 0.9718, + "step": 10989 + }, + { + "epoch": 0.26, + "grad_norm": 1.5267150445000957, + "learning_rate": 1.7375436227601007e-05, + "loss": 0.8254, + "step": 10990 + }, + { + "epoch": 0.26, + "grad_norm": 1.5430951447151293, + "learning_rate": 1.7374920924889675e-05, + "loss": 0.8938, + "step": 10991 + }, + { + "epoch": 0.26, + "grad_norm": 0.8255341479971532, + "learning_rate": 1.7374405579239217e-05, + "loss": 0.7377, + "step": 10992 + }, + { + "epoch": 0.26, + "grad_norm": 1.6518775307782965, + "learning_rate": 1.737389019065263e-05, + "loss": 0.9237, + "step": 10993 + }, + { + "epoch": 0.26, + "grad_norm": 2.061275253539868, + "learning_rate": 1.7373374759132927e-05, + "loss": 0.8637, + "step": 10994 + }, + { + "epoch": 0.26, + "grad_norm": 1.6662282465304665, + "learning_rate": 1.73728592846831e-05, + "loss": 0.8004, + "step": 10995 + }, + { + "epoch": 0.26, + "grad_norm": 0.7587474711836388, + "learning_rate": 1.7372343767306148e-05, + "loss": 0.7462, + "step": 10996 + }, + { + "epoch": 0.26, + "grad_norm": 1.5083209317111064, + "learning_rate": 1.737182820700508e-05, + "loss": 0.895, + "step": 10997 + }, + { + "epoch": 0.26, + "grad_norm": 2.2945625343682603, + "learning_rate": 1.7371312603782893e-05, + "loss": 0.8761, + "step": 10998 + }, + { + "epoch": 0.26, + "grad_norm": 1.5469268556233315, + "learning_rate": 1.737079695764259e-05, + "loss": 1.0196, + "step": 10999 + }, + { + "epoch": 0.26, + "grad_norm": 2.2328016196148326, + "learning_rate": 1.7370281268587175e-05, + "loss": 0.9986, + "step": 11000 + }, + { + "epoch": 0.26, + "grad_norm": 2.344978772084474, + "learning_rate": 1.736976553661965e-05, + "loss": 0.9758, + "step": 11001 + }, + { + "epoch": 0.26, + "grad_norm": 1.5890605291744218, + "learning_rate": 1.7369249761743015e-05, + "loss": 0.9289, + "step": 11002 + }, + { + "epoch": 0.26, + "grad_norm": 1.7012657118843606, + "learning_rate": 1.7368733943960278e-05, + "loss": 0.7578, + "step": 11003 + }, + { + "epoch": 0.26, + "grad_norm": 2.3431965840028486, + "learning_rate": 1.736821808327443e-05, + "loss": 0.9379, + "step": 11004 + }, + { + "epoch": 0.26, + "grad_norm": 0.7835860650063605, + "learning_rate": 1.7367702179688494e-05, + "loss": 0.7101, + "step": 11005 + }, + { + "epoch": 0.26, + "grad_norm": 1.7883219371942352, + "learning_rate": 1.7367186233205457e-05, + "loss": 0.8006, + "step": 11006 + }, + { + "epoch": 0.26, + "grad_norm": 1.5401031968773402, + "learning_rate": 1.7366670243828333e-05, + "loss": 0.983, + "step": 11007 + }, + { + "epoch": 0.26, + "grad_norm": 2.2646245870345947, + "learning_rate": 1.736615421156012e-05, + "loss": 0.9432, + "step": 11008 + }, + { + "epoch": 0.26, + "grad_norm": 1.50963523553919, + "learning_rate": 1.7365638136403827e-05, + "loss": 0.9232, + "step": 11009 + }, + { + "epoch": 0.26, + "grad_norm": 1.6331083722531572, + "learning_rate": 1.7365122018362456e-05, + "loss": 0.8517, + "step": 11010 + }, + { + "epoch": 0.26, + "grad_norm": 0.7751333882134164, + "learning_rate": 1.736460585743901e-05, + "loss": 0.755, + "step": 11011 + }, + { + "epoch": 0.26, + "grad_norm": 1.8248427049432316, + "learning_rate": 1.7364089653636503e-05, + "loss": 0.9367, + "step": 11012 + }, + { + "epoch": 0.26, + "grad_norm": 1.5328998402381273, + "learning_rate": 1.736357340695793e-05, + "loss": 0.8022, + "step": 11013 + }, + { + "epoch": 0.26, + "grad_norm": 2.025092771477765, + "learning_rate": 1.7363057117406304e-05, + "loss": 0.9578, + "step": 11014 + }, + { + "epoch": 0.26, + "grad_norm": 2.0878337546895374, + "learning_rate": 1.7362540784984627e-05, + "loss": 0.9682, + "step": 11015 + }, + { + "epoch": 0.26, + "grad_norm": 1.8761840316623637, + "learning_rate": 1.7362024409695908e-05, + "loss": 0.8793, + "step": 11016 + }, + { + "epoch": 0.26, + "grad_norm": 2.058639528996746, + "learning_rate": 1.736150799154315e-05, + "loss": 0.8977, + "step": 11017 + }, + { + "epoch": 0.26, + "grad_norm": 1.9067003708690007, + "learning_rate": 1.7360991530529363e-05, + "loss": 0.9318, + "step": 11018 + }, + { + "epoch": 0.26, + "grad_norm": 2.4912860912812, + "learning_rate": 1.7360475026657552e-05, + "loss": 0.892, + "step": 11019 + }, + { + "epoch": 0.26, + "grad_norm": 1.5994063496054316, + "learning_rate": 1.7359958479930726e-05, + "loss": 0.8791, + "step": 11020 + }, + { + "epoch": 0.26, + "grad_norm": 0.8038079233607622, + "learning_rate": 1.7359441890351893e-05, + "loss": 0.7192, + "step": 11021 + }, + { + "epoch": 0.26, + "grad_norm": 1.8533252649653646, + "learning_rate": 1.735892525792406e-05, + "loss": 0.8322, + "step": 11022 + }, + { + "epoch": 0.26, + "grad_norm": 1.5209447896840436, + "learning_rate": 1.735840858265023e-05, + "loss": 0.9889, + "step": 11023 + }, + { + "epoch": 0.26, + "grad_norm": 1.6072920291121824, + "learning_rate": 1.7357891864533418e-05, + "loss": 0.9444, + "step": 11024 + }, + { + "epoch": 0.26, + "grad_norm": 2.393350820901506, + "learning_rate": 1.7357375103576628e-05, + "loss": 0.8979, + "step": 11025 + }, + { + "epoch": 0.26, + "grad_norm": 1.5461434473191586, + "learning_rate": 1.735685829978287e-05, + "loss": 0.8688, + "step": 11026 + }, + { + "epoch": 0.26, + "grad_norm": 1.9615195848473566, + "learning_rate": 1.735634145315516e-05, + "loss": 0.8975, + "step": 11027 + }, + { + "epoch": 0.26, + "grad_norm": 1.5813287418644886, + "learning_rate": 1.7355824563696496e-05, + "loss": 0.8347, + "step": 11028 + }, + { + "epoch": 0.26, + "grad_norm": 1.4785269433629868, + "learning_rate": 1.7355307631409894e-05, + "loss": 0.7743, + "step": 11029 + }, + { + "epoch": 0.26, + "grad_norm": 1.8423125699646543, + "learning_rate": 1.7354790656298364e-05, + "loss": 0.8237, + "step": 11030 + }, + { + "epoch": 0.26, + "grad_norm": 1.6156904086085033, + "learning_rate": 1.7354273638364914e-05, + "loss": 0.7944, + "step": 11031 + }, + { + "epoch": 0.26, + "grad_norm": 1.8133971894911678, + "learning_rate": 1.7353756577612552e-05, + "loss": 0.8778, + "step": 11032 + }, + { + "epoch": 0.26, + "grad_norm": 1.581481297240255, + "learning_rate": 1.735323947404429e-05, + "loss": 0.8647, + "step": 11033 + }, + { + "epoch": 0.26, + "grad_norm": 1.5149530568142398, + "learning_rate": 1.7352722327663146e-05, + "loss": 0.9003, + "step": 11034 + }, + { + "epoch": 0.26, + "grad_norm": 1.6160814079229506, + "learning_rate": 1.735220513847212e-05, + "loss": 0.8097, + "step": 11035 + }, + { + "epoch": 0.26, + "grad_norm": 1.6544011059019281, + "learning_rate": 1.735168790647423e-05, + "loss": 0.9942, + "step": 11036 + }, + { + "epoch": 0.26, + "grad_norm": 1.5957735140707432, + "learning_rate": 1.735117063167248e-05, + "loss": 0.9849, + "step": 11037 + }, + { + "epoch": 0.26, + "grad_norm": 1.7383998100595424, + "learning_rate": 1.7350653314069898e-05, + "loss": 0.8043, + "step": 11038 + }, + { + "epoch": 0.26, + "grad_norm": 1.8614296530987804, + "learning_rate": 1.7350135953669477e-05, + "loss": 0.9573, + "step": 11039 + }, + { + "epoch": 0.26, + "grad_norm": 1.6965768859996384, + "learning_rate": 1.7349618550474237e-05, + "loss": 0.8901, + "step": 11040 + }, + { + "epoch": 0.26, + "grad_norm": 1.7340150683637423, + "learning_rate": 1.7349101104487195e-05, + "loss": 0.9514, + "step": 11041 + }, + { + "epoch": 0.26, + "grad_norm": 1.850132911471564, + "learning_rate": 1.734858361571136e-05, + "loss": 0.9176, + "step": 11042 + }, + { + "epoch": 0.26, + "grad_norm": 1.9027442977824849, + "learning_rate": 1.7348066084149743e-05, + "loss": 0.9339, + "step": 11043 + }, + { + "epoch": 0.26, + "grad_norm": 1.9335784732089885, + "learning_rate": 1.7347548509805357e-05, + "loss": 0.896, + "step": 11044 + }, + { + "epoch": 0.26, + "grad_norm": 2.341761011744059, + "learning_rate": 1.7347030892681217e-05, + "loss": 0.884, + "step": 11045 + }, + { + "epoch": 0.26, + "grad_norm": 1.8162623590567037, + "learning_rate": 1.734651323278034e-05, + "loss": 0.886, + "step": 11046 + }, + { + "epoch": 0.26, + "grad_norm": 1.514571158202679, + "learning_rate": 1.7345995530105737e-05, + "loss": 0.8533, + "step": 11047 + }, + { + "epoch": 0.26, + "grad_norm": 0.8468403253582004, + "learning_rate": 1.734547778466042e-05, + "loss": 0.7887, + "step": 11048 + }, + { + "epoch": 0.26, + "grad_norm": 1.7549318504168858, + "learning_rate": 1.734495999644741e-05, + "loss": 0.9118, + "step": 11049 + }, + { + "epoch": 0.26, + "grad_norm": 1.772586386141931, + "learning_rate": 1.7344442165469714e-05, + "loss": 1.0789, + "step": 11050 + }, + { + "epoch": 0.26, + "grad_norm": 1.6248722409468381, + "learning_rate": 1.7343924291730352e-05, + "loss": 0.8918, + "step": 11051 + }, + { + "epoch": 0.26, + "grad_norm": 0.7717104136649842, + "learning_rate": 1.7343406375232333e-05, + "loss": 0.7874, + "step": 11052 + }, + { + "epoch": 0.26, + "grad_norm": 1.5505402355608555, + "learning_rate": 1.7342888415978683e-05, + "loss": 0.8754, + "step": 11053 + }, + { + "epoch": 0.26, + "grad_norm": 1.7718547050797444, + "learning_rate": 1.734237041397241e-05, + "loss": 0.8858, + "step": 11054 + }, + { + "epoch": 0.26, + "grad_norm": 1.6480321067168477, + "learning_rate": 1.734185236921653e-05, + "loss": 1.0212, + "step": 11055 + }, + { + "epoch": 0.26, + "grad_norm": 1.7341729396765209, + "learning_rate": 1.7341334281714067e-05, + "loss": 0.8583, + "step": 11056 + }, + { + "epoch": 0.26, + "grad_norm": 1.765950835730778, + "learning_rate": 1.7340816151468026e-05, + "loss": 0.986, + "step": 11057 + }, + { + "epoch": 0.26, + "grad_norm": 1.550451922809546, + "learning_rate": 1.734029797848143e-05, + "loss": 0.8833, + "step": 11058 + }, + { + "epoch": 0.26, + "grad_norm": 1.668038000435332, + "learning_rate": 1.73397797627573e-05, + "loss": 0.9512, + "step": 11059 + }, + { + "epoch": 0.26, + "grad_norm": 1.41700365247482, + "learning_rate": 1.7339261504298645e-05, + "loss": 0.8841, + "step": 11060 + }, + { + "epoch": 0.26, + "grad_norm": 2.569020153188788, + "learning_rate": 1.7338743203108484e-05, + "loss": 0.8068, + "step": 11061 + }, + { + "epoch": 0.26, + "grad_norm": 0.7757361759703162, + "learning_rate": 1.7338224859189837e-05, + "loss": 0.6586, + "step": 11062 + }, + { + "epoch": 0.26, + "grad_norm": 0.7858608278098179, + "learning_rate": 1.7337706472545727e-05, + "loss": 0.7733, + "step": 11063 + }, + { + "epoch": 0.26, + "grad_norm": 1.5813996703181785, + "learning_rate": 1.733718804317916e-05, + "loss": 0.8878, + "step": 11064 + }, + { + "epoch": 0.26, + "grad_norm": 1.730599336461254, + "learning_rate": 1.7336669571093165e-05, + "loss": 0.9296, + "step": 11065 + }, + { + "epoch": 0.26, + "grad_norm": 1.7996241656345182, + "learning_rate": 1.7336151056290758e-05, + "loss": 0.7871, + "step": 11066 + }, + { + "epoch": 0.26, + "grad_norm": 1.750955230190145, + "learning_rate": 1.7335632498774956e-05, + "loss": 0.8438, + "step": 11067 + }, + { + "epoch": 0.26, + "grad_norm": 0.7765053344083886, + "learning_rate": 1.7335113898548775e-05, + "loss": 0.6721, + "step": 11068 + }, + { + "epoch": 0.26, + "grad_norm": 1.7745494770520032, + "learning_rate": 1.7334595255615243e-05, + "loss": 0.8607, + "step": 11069 + }, + { + "epoch": 0.26, + "grad_norm": 1.6144030110337602, + "learning_rate": 1.7334076569977372e-05, + "loss": 0.8539, + "step": 11070 + }, + { + "epoch": 0.26, + "grad_norm": 1.6188995092427276, + "learning_rate": 1.733355784163819e-05, + "loss": 0.8919, + "step": 11071 + }, + { + "epoch": 0.26, + "grad_norm": 1.7656189532995332, + "learning_rate": 1.733303907060071e-05, + "loss": 1.0173, + "step": 11072 + }, + { + "epoch": 0.26, + "grad_norm": 1.5270537759076135, + "learning_rate": 1.7332520256867954e-05, + "loss": 0.9661, + "step": 11073 + }, + { + "epoch": 0.26, + "grad_norm": 1.6502700704498068, + "learning_rate": 1.7332001400442946e-05, + "loss": 0.8635, + "step": 11074 + }, + { + "epoch": 0.26, + "grad_norm": 1.6848265133963511, + "learning_rate": 1.7331482501328704e-05, + "loss": 0.9798, + "step": 11075 + }, + { + "epoch": 0.26, + "grad_norm": 1.7380408708686008, + "learning_rate": 1.733096355952825e-05, + "loss": 0.9403, + "step": 11076 + }, + { + "epoch": 0.26, + "grad_norm": 1.6503304656762268, + "learning_rate": 1.7330444575044603e-05, + "loss": 0.9804, + "step": 11077 + }, + { + "epoch": 0.26, + "grad_norm": 1.6119959494193306, + "learning_rate": 1.7329925547880785e-05, + "loss": 0.8733, + "step": 11078 + }, + { + "epoch": 0.26, + "grad_norm": 2.4673826251409805, + "learning_rate": 1.7329406478039825e-05, + "loss": 0.813, + "step": 11079 + }, + { + "epoch": 0.26, + "grad_norm": 1.7005070006105263, + "learning_rate": 1.732888736552474e-05, + "loss": 0.8857, + "step": 11080 + }, + { + "epoch": 0.26, + "grad_norm": 1.5344388341966544, + "learning_rate": 1.732836821033855e-05, + "loss": 0.8901, + "step": 11081 + }, + { + "epoch": 0.26, + "grad_norm": 1.7096086979533125, + "learning_rate": 1.732784901248428e-05, + "loss": 0.8329, + "step": 11082 + }, + { + "epoch": 0.26, + "grad_norm": 1.8399039367987657, + "learning_rate": 1.7327329771964952e-05, + "loss": 0.9878, + "step": 11083 + }, + { + "epoch": 0.26, + "grad_norm": 1.6103589547963846, + "learning_rate": 1.7326810488783593e-05, + "loss": 0.9453, + "step": 11084 + }, + { + "epoch": 0.26, + "grad_norm": 1.6328956447048841, + "learning_rate": 1.732629116294322e-05, + "loss": 0.849, + "step": 11085 + }, + { + "epoch": 0.26, + "grad_norm": 2.2394477917378386, + "learning_rate": 1.7325771794446865e-05, + "loss": 0.9431, + "step": 11086 + }, + { + "epoch": 0.26, + "grad_norm": 1.6096780942798472, + "learning_rate": 1.7325252383297547e-05, + "loss": 0.9078, + "step": 11087 + }, + { + "epoch": 0.26, + "grad_norm": 1.649342544851126, + "learning_rate": 1.7324732929498287e-05, + "loss": 0.9207, + "step": 11088 + }, + { + "epoch": 0.26, + "grad_norm": 1.7049797325076972, + "learning_rate": 1.7324213433052115e-05, + "loss": 0.8694, + "step": 11089 + }, + { + "epoch": 0.26, + "grad_norm": 1.541801268930513, + "learning_rate": 1.7323693893962055e-05, + "loss": 0.9547, + "step": 11090 + }, + { + "epoch": 0.26, + "grad_norm": 1.7044106560596324, + "learning_rate": 1.732317431223113e-05, + "loss": 0.8245, + "step": 11091 + }, + { + "epoch": 0.26, + "grad_norm": 1.4571653985592439, + "learning_rate": 1.732265468786236e-05, + "loss": 0.9409, + "step": 11092 + }, + { + "epoch": 0.26, + "grad_norm": 1.7832538795259716, + "learning_rate": 1.732213502085878e-05, + "loss": 0.7876, + "step": 11093 + }, + { + "epoch": 0.26, + "grad_norm": 1.612701519639388, + "learning_rate": 1.7321615311223413e-05, + "loss": 0.9744, + "step": 11094 + }, + { + "epoch": 0.26, + "grad_norm": 1.9956335505946288, + "learning_rate": 1.7321095558959284e-05, + "loss": 0.8609, + "step": 11095 + }, + { + "epoch": 0.26, + "grad_norm": 1.5030355914239522, + "learning_rate": 1.732057576406942e-05, + "loss": 0.8059, + "step": 11096 + }, + { + "epoch": 0.26, + "grad_norm": 1.8942535336788675, + "learning_rate": 1.7320055926556843e-05, + "loss": 0.9176, + "step": 11097 + }, + { + "epoch": 0.26, + "grad_norm": 2.0171903020996647, + "learning_rate": 1.7319536046424583e-05, + "loss": 0.8372, + "step": 11098 + }, + { + "epoch": 0.26, + "grad_norm": 1.797080668730871, + "learning_rate": 1.731901612367567e-05, + "loss": 0.9247, + "step": 11099 + }, + { + "epoch": 0.26, + "grad_norm": 1.7197303252379363, + "learning_rate": 1.7318496158313124e-05, + "loss": 0.7561, + "step": 11100 + }, + { + "epoch": 0.26, + "grad_norm": 3.087746892556377, + "learning_rate": 1.731797615033998e-05, + "loss": 0.9483, + "step": 11101 + }, + { + "epoch": 0.26, + "grad_norm": 0.7583595543334505, + "learning_rate": 1.731745609975926e-05, + "loss": 0.7257, + "step": 11102 + }, + { + "epoch": 0.26, + "grad_norm": 3.071962390768, + "learning_rate": 1.7316936006573994e-05, + "loss": 0.8802, + "step": 11103 + }, + { + "epoch": 0.26, + "grad_norm": 1.749292062077607, + "learning_rate": 1.731641587078721e-05, + "loss": 0.9269, + "step": 11104 + }, + { + "epoch": 0.26, + "grad_norm": 1.5152440842520607, + "learning_rate": 1.7315895692401937e-05, + "loss": 0.9221, + "step": 11105 + }, + { + "epoch": 0.26, + "grad_norm": 1.6793802878291049, + "learning_rate": 1.7315375471421203e-05, + "loss": 0.8643, + "step": 11106 + }, + { + "epoch": 0.26, + "grad_norm": 1.773927730023857, + "learning_rate": 1.7314855207848037e-05, + "loss": 0.8939, + "step": 11107 + }, + { + "epoch": 0.26, + "grad_norm": 1.7659702054221653, + "learning_rate": 1.731433490168547e-05, + "loss": 0.8518, + "step": 11108 + }, + { + "epoch": 0.26, + "grad_norm": 1.5613612391530234, + "learning_rate": 1.7313814552936527e-05, + "loss": 0.9152, + "step": 11109 + }, + { + "epoch": 0.26, + "grad_norm": 1.6801131212400764, + "learning_rate": 1.7313294161604236e-05, + "loss": 0.9744, + "step": 11110 + }, + { + "epoch": 0.26, + "grad_norm": 1.4989914271147398, + "learning_rate": 1.7312773727691637e-05, + "loss": 0.9089, + "step": 11111 + }, + { + "epoch": 0.26, + "grad_norm": 1.7297031497162547, + "learning_rate": 1.7312253251201754e-05, + "loss": 0.9754, + "step": 11112 + }, + { + "epoch": 0.26, + "grad_norm": 1.7344307240778922, + "learning_rate": 1.7311732732137617e-05, + "loss": 0.9182, + "step": 11113 + }, + { + "epoch": 0.26, + "grad_norm": 1.6564119699340605, + "learning_rate": 1.7311212170502254e-05, + "loss": 0.8188, + "step": 11114 + }, + { + "epoch": 0.26, + "grad_norm": 3.852872356055363, + "learning_rate": 1.7310691566298702e-05, + "loss": 0.8632, + "step": 11115 + }, + { + "epoch": 0.26, + "grad_norm": 1.5668167123983752, + "learning_rate": 1.7310170919529993e-05, + "loss": 0.8721, + "step": 11116 + }, + { + "epoch": 0.26, + "grad_norm": 1.8014779628218687, + "learning_rate": 1.7309650230199148e-05, + "loss": 0.9133, + "step": 11117 + }, + { + "epoch": 0.26, + "grad_norm": 1.6041231727241758, + "learning_rate": 1.7309129498309208e-05, + "loss": 0.8785, + "step": 11118 + }, + { + "epoch": 0.26, + "grad_norm": 1.6352225953224364, + "learning_rate": 1.73086087238632e-05, + "loss": 0.8373, + "step": 11119 + }, + { + "epoch": 0.26, + "grad_norm": 0.7211965320092818, + "learning_rate": 1.730808790686416e-05, + "loss": 0.707, + "step": 11120 + }, + { + "epoch": 0.26, + "grad_norm": 1.776764382819821, + "learning_rate": 1.7307567047315118e-05, + "loss": 0.7736, + "step": 11121 + }, + { + "epoch": 0.26, + "grad_norm": 1.49064546883329, + "learning_rate": 1.7307046145219108e-05, + "loss": 1.0965, + "step": 11122 + }, + { + "epoch": 0.26, + "grad_norm": 1.6276378003956693, + "learning_rate": 1.730652520057916e-05, + "loss": 0.871, + "step": 11123 + }, + { + "epoch": 0.26, + "grad_norm": 2.3834832498856735, + "learning_rate": 1.730600421339831e-05, + "loss": 0.8831, + "step": 11124 + }, + { + "epoch": 0.26, + "grad_norm": 1.6933826429603775, + "learning_rate": 1.7305483183679592e-05, + "loss": 0.8649, + "step": 11125 + }, + { + "epoch": 0.26, + "grad_norm": 1.9695083949652252, + "learning_rate": 1.7304962111426036e-05, + "loss": 0.8647, + "step": 11126 + }, + { + "epoch": 0.26, + "grad_norm": 1.9209743290465693, + "learning_rate": 1.730444099664068e-05, + "loss": 0.9024, + "step": 11127 + }, + { + "epoch": 0.26, + "grad_norm": 1.4908662493403195, + "learning_rate": 1.7303919839326554e-05, + "loss": 0.92, + "step": 11128 + }, + { + "epoch": 0.26, + "grad_norm": 1.648038318715491, + "learning_rate": 1.7303398639486696e-05, + "loss": 0.8003, + "step": 11129 + }, + { + "epoch": 0.26, + "grad_norm": 1.7098500079218715, + "learning_rate": 1.7302877397124137e-05, + "loss": 0.7985, + "step": 11130 + }, + { + "epoch": 0.26, + "grad_norm": 1.716227303637787, + "learning_rate": 1.7302356112241913e-05, + "loss": 0.9417, + "step": 11131 + }, + { + "epoch": 0.26, + "grad_norm": 1.805102240115237, + "learning_rate": 1.7301834784843064e-05, + "loss": 0.9897, + "step": 11132 + }, + { + "epoch": 0.26, + "grad_norm": 1.6613119077947678, + "learning_rate": 1.7301313414930618e-05, + "loss": 0.8695, + "step": 11133 + }, + { + "epoch": 0.26, + "grad_norm": 2.3966418538712713, + "learning_rate": 1.7300792002507614e-05, + "loss": 0.9493, + "step": 11134 + }, + { + "epoch": 0.26, + "grad_norm": 1.9947890957121628, + "learning_rate": 1.730027054757709e-05, + "loss": 0.7727, + "step": 11135 + }, + { + "epoch": 0.26, + "grad_norm": 0.7954092329629056, + "learning_rate": 1.7299749050142074e-05, + "loss": 0.7355, + "step": 11136 + }, + { + "epoch": 0.26, + "grad_norm": 1.914821753246417, + "learning_rate": 1.7299227510205613e-05, + "loss": 0.8854, + "step": 11137 + }, + { + "epoch": 0.26, + "grad_norm": 0.7542555207580284, + "learning_rate": 1.7298705927770737e-05, + "loss": 0.6929, + "step": 11138 + }, + { + "epoch": 0.26, + "grad_norm": 1.8252305598080414, + "learning_rate": 1.7298184302840485e-05, + "loss": 0.8576, + "step": 11139 + }, + { + "epoch": 0.26, + "grad_norm": 1.7886415294822853, + "learning_rate": 1.729766263541789e-05, + "loss": 0.8417, + "step": 11140 + }, + { + "epoch": 0.26, + "grad_norm": 1.8239382034105351, + "learning_rate": 1.7297140925505996e-05, + "loss": 0.9392, + "step": 11141 + }, + { + "epoch": 0.26, + "grad_norm": 1.6032840676131195, + "learning_rate": 1.7296619173107837e-05, + "loss": 0.8555, + "step": 11142 + }, + { + "epoch": 0.26, + "grad_norm": 1.4384992581349119, + "learning_rate": 1.7296097378226452e-05, + "loss": 0.8652, + "step": 11143 + }, + { + "epoch": 0.26, + "grad_norm": 1.8092784773967228, + "learning_rate": 1.7295575540864878e-05, + "loss": 0.8493, + "step": 11144 + }, + { + "epoch": 0.26, + "grad_norm": 1.6711467272649156, + "learning_rate": 1.729505366102615e-05, + "loss": 0.7799, + "step": 11145 + }, + { + "epoch": 0.26, + "grad_norm": 2.0933319473598604, + "learning_rate": 1.7294531738713313e-05, + "loss": 0.9529, + "step": 11146 + }, + { + "epoch": 0.26, + "grad_norm": 1.4959349622698936, + "learning_rate": 1.7294009773929405e-05, + "loss": 1.0353, + "step": 11147 + }, + { + "epoch": 0.26, + "grad_norm": 1.9938556852752167, + "learning_rate": 1.7293487766677457e-05, + "loss": 0.8198, + "step": 11148 + }, + { + "epoch": 0.26, + "grad_norm": 1.9354648011825775, + "learning_rate": 1.7292965716960518e-05, + "loss": 0.9586, + "step": 11149 + }, + { + "epoch": 0.26, + "grad_norm": 1.4960764139353135, + "learning_rate": 1.7292443624781624e-05, + "loss": 0.9563, + "step": 11150 + }, + { + "epoch": 0.26, + "grad_norm": 1.6174851840171653, + "learning_rate": 1.729192149014381e-05, + "loss": 0.7742, + "step": 11151 + }, + { + "epoch": 0.26, + "grad_norm": 1.5222747871225006, + "learning_rate": 1.729139931305013e-05, + "loss": 0.7799, + "step": 11152 + }, + { + "epoch": 0.26, + "grad_norm": 1.5420166056196283, + "learning_rate": 1.7290877093503606e-05, + "loss": 0.8862, + "step": 11153 + }, + { + "epoch": 0.26, + "grad_norm": 2.479627935252292, + "learning_rate": 1.729035483150729e-05, + "loss": 0.8873, + "step": 11154 + }, + { + "epoch": 0.26, + "grad_norm": 3.8695238697149783, + "learning_rate": 1.728983252706422e-05, + "loss": 0.8068, + "step": 11155 + }, + { + "epoch": 0.26, + "grad_norm": 1.614913036955143, + "learning_rate": 1.7289310180177438e-05, + "loss": 0.8642, + "step": 11156 + }, + { + "epoch": 0.26, + "grad_norm": 2.009611277450526, + "learning_rate": 1.7288787790849984e-05, + "loss": 0.9319, + "step": 11157 + }, + { + "epoch": 0.26, + "grad_norm": 0.8416233786667148, + "learning_rate": 1.72882653590849e-05, + "loss": 0.7388, + "step": 11158 + }, + { + "epoch": 0.26, + "grad_norm": 1.7085294589425801, + "learning_rate": 1.7287742884885225e-05, + "loss": 0.9712, + "step": 11159 + }, + { + "epoch": 0.26, + "grad_norm": 2.4068735985034175, + "learning_rate": 1.728722036825401e-05, + "loss": 0.8076, + "step": 11160 + }, + { + "epoch": 0.26, + "grad_norm": 1.932791866061625, + "learning_rate": 1.7286697809194285e-05, + "loss": 0.8493, + "step": 11161 + }, + { + "epoch": 0.26, + "grad_norm": 1.5714122950493958, + "learning_rate": 1.72861752077091e-05, + "loss": 0.8993, + "step": 11162 + }, + { + "epoch": 0.26, + "grad_norm": 2.5359820400775934, + "learning_rate": 1.7285652563801493e-05, + "loss": 0.8383, + "step": 11163 + }, + { + "epoch": 0.26, + "grad_norm": 1.7355060104981028, + "learning_rate": 1.7285129877474516e-05, + "loss": 0.8934, + "step": 11164 + }, + { + "epoch": 0.26, + "grad_norm": 1.771519332664238, + "learning_rate": 1.7284607148731206e-05, + "loss": 0.9183, + "step": 11165 + }, + { + "epoch": 0.26, + "grad_norm": 1.634553645051188, + "learning_rate": 1.7284084377574605e-05, + "loss": 0.9664, + "step": 11166 + }, + { + "epoch": 0.26, + "grad_norm": 1.6969537742228813, + "learning_rate": 1.728356156400776e-05, + "loss": 0.9759, + "step": 11167 + }, + { + "epoch": 0.26, + "grad_norm": 1.9461280841685105, + "learning_rate": 1.7283038708033707e-05, + "loss": 0.9075, + "step": 11168 + }, + { + "epoch": 0.26, + "grad_norm": 1.6532937936422014, + "learning_rate": 1.72825158096555e-05, + "loss": 0.9311, + "step": 11169 + }, + { + "epoch": 0.26, + "grad_norm": 1.4219955431556408, + "learning_rate": 1.728199286887619e-05, + "loss": 1.0248, + "step": 11170 + }, + { + "epoch": 0.26, + "grad_norm": 1.9242028705262693, + "learning_rate": 1.72814698856988e-05, + "loss": 1.0222, + "step": 11171 + }, + { + "epoch": 0.26, + "grad_norm": 2.0657735396044576, + "learning_rate": 1.7280946860126394e-05, + "loss": 0.8964, + "step": 11172 + }, + { + "epoch": 0.26, + "grad_norm": 1.6894766149410716, + "learning_rate": 1.7280423792162008e-05, + "loss": 1.0169, + "step": 11173 + }, + { + "epoch": 0.26, + "grad_norm": 1.5689639776647337, + "learning_rate": 1.727990068180869e-05, + "loss": 0.8444, + "step": 11174 + }, + { + "epoch": 0.26, + "grad_norm": 1.6069957029440554, + "learning_rate": 1.7279377529069484e-05, + "loss": 0.8473, + "step": 11175 + }, + { + "epoch": 0.26, + "grad_norm": 1.383935679256483, + "learning_rate": 1.7278854333947438e-05, + "loss": 0.8715, + "step": 11176 + }, + { + "epoch": 0.26, + "grad_norm": 1.5008485689042446, + "learning_rate": 1.72783310964456e-05, + "loss": 0.9452, + "step": 11177 + }, + { + "epoch": 0.26, + "grad_norm": 2.05397910479886, + "learning_rate": 1.727780781656701e-05, + "loss": 0.9375, + "step": 11178 + }, + { + "epoch": 0.26, + "grad_norm": 2.0243601029294513, + "learning_rate": 1.727728449431472e-05, + "loss": 0.919, + "step": 11179 + }, + { + "epoch": 0.26, + "grad_norm": 1.421698214201191, + "learning_rate": 1.7276761129691776e-05, + "loss": 0.9554, + "step": 11180 + }, + { + "epoch": 0.26, + "grad_norm": 1.8132901298896635, + "learning_rate": 1.7276237722701227e-05, + "loss": 0.7962, + "step": 11181 + }, + { + "epoch": 0.26, + "grad_norm": 1.6975826382442891, + "learning_rate": 1.7275714273346117e-05, + "loss": 0.845, + "step": 11182 + }, + { + "epoch": 0.26, + "grad_norm": 1.6026478796338375, + "learning_rate": 1.7275190781629494e-05, + "loss": 0.9576, + "step": 11183 + }, + { + "epoch": 0.26, + "grad_norm": 0.840572173074179, + "learning_rate": 1.7274667247554407e-05, + "loss": 0.725, + "step": 11184 + }, + { + "epoch": 0.26, + "grad_norm": 1.7163425452203318, + "learning_rate": 1.7274143671123905e-05, + "loss": 1.0316, + "step": 11185 + }, + { + "epoch": 0.26, + "grad_norm": 2.281914192788524, + "learning_rate": 1.7273620052341037e-05, + "loss": 0.9947, + "step": 11186 + }, + { + "epoch": 0.26, + "grad_norm": 1.5498154487300855, + "learning_rate": 1.727309639120885e-05, + "loss": 0.9138, + "step": 11187 + }, + { + "epoch": 0.26, + "grad_norm": 1.9796284859564623, + "learning_rate": 1.727257268773039e-05, + "loss": 0.9761, + "step": 11188 + }, + { + "epoch": 0.26, + "grad_norm": 1.6868024098605099, + "learning_rate": 1.7272048941908713e-05, + "loss": 0.9236, + "step": 11189 + }, + { + "epoch": 0.26, + "grad_norm": 1.6962301522712757, + "learning_rate": 1.7271525153746865e-05, + "loss": 0.8411, + "step": 11190 + }, + { + "epoch": 0.26, + "grad_norm": 1.8007340917649617, + "learning_rate": 1.7271001323247892e-05, + "loss": 0.9959, + "step": 11191 + }, + { + "epoch": 0.26, + "grad_norm": 1.4970747622931118, + "learning_rate": 1.727047745041485e-05, + "loss": 0.9614, + "step": 11192 + }, + { + "epoch": 0.26, + "grad_norm": 1.763353092843813, + "learning_rate": 1.7269953535250782e-05, + "loss": 0.963, + "step": 11193 + }, + { + "epoch": 0.26, + "grad_norm": 1.5231664716820978, + "learning_rate": 1.726942957775875e-05, + "loss": 0.8935, + "step": 11194 + }, + { + "epoch": 0.26, + "grad_norm": 1.6203353483742018, + "learning_rate": 1.726890557794179e-05, + "loss": 1.0255, + "step": 11195 + }, + { + "epoch": 0.26, + "grad_norm": 1.6496795789745948, + "learning_rate": 1.7268381535802966e-05, + "loss": 0.9137, + "step": 11196 + }, + { + "epoch": 0.26, + "grad_norm": 1.8976700815558631, + "learning_rate": 1.726785745134532e-05, + "loss": 0.8797, + "step": 11197 + }, + { + "epoch": 0.26, + "grad_norm": 0.7405906044353567, + "learning_rate": 1.7267333324571912e-05, + "loss": 0.7142, + "step": 11198 + }, + { + "epoch": 0.26, + "grad_norm": 1.702014632500241, + "learning_rate": 1.7266809155485783e-05, + "loss": 0.8766, + "step": 11199 + }, + { + "epoch": 0.26, + "grad_norm": 1.6347806961109452, + "learning_rate": 1.7266284944089994e-05, + "loss": 0.849, + "step": 11200 + }, + { + "epoch": 0.26, + "grad_norm": 1.9658001462620485, + "learning_rate": 1.7265760690387594e-05, + "loss": 0.9011, + "step": 11201 + }, + { + "epoch": 0.26, + "grad_norm": 1.5471741606124274, + "learning_rate": 1.7265236394381634e-05, + "loss": 0.9706, + "step": 11202 + }, + { + "epoch": 0.26, + "grad_norm": 2.1711984514823817, + "learning_rate": 1.7264712056075167e-05, + "loss": 0.9577, + "step": 11203 + }, + { + "epoch": 0.26, + "grad_norm": 1.6120378233083499, + "learning_rate": 1.7264187675471246e-05, + "loss": 0.9009, + "step": 11204 + }, + { + "epoch": 0.26, + "grad_norm": 0.760606759048485, + "learning_rate": 1.7263663252572923e-05, + "loss": 0.6806, + "step": 11205 + }, + { + "epoch": 0.26, + "grad_norm": 1.5964975670605368, + "learning_rate": 1.7263138787383255e-05, + "loss": 0.9519, + "step": 11206 + }, + { + "epoch": 0.26, + "grad_norm": 1.6536731376593343, + "learning_rate": 1.7262614279905295e-05, + "loss": 0.796, + "step": 11207 + }, + { + "epoch": 0.26, + "grad_norm": 1.6489325164375532, + "learning_rate": 1.7262089730142094e-05, + "loss": 0.868, + "step": 11208 + }, + { + "epoch": 0.26, + "grad_norm": 1.5759956109597344, + "learning_rate": 1.7261565138096706e-05, + "loss": 0.969, + "step": 11209 + }, + { + "epoch": 0.26, + "grad_norm": 1.6427849751754307, + "learning_rate": 1.7261040503772187e-05, + "loss": 0.9161, + "step": 11210 + }, + { + "epoch": 0.26, + "grad_norm": 1.6256063920046095, + "learning_rate": 1.7260515827171596e-05, + "loss": 0.8763, + "step": 11211 + }, + { + "epoch": 0.26, + "grad_norm": 1.590195780907781, + "learning_rate": 1.7259991108297976e-05, + "loss": 0.9881, + "step": 11212 + }, + { + "epoch": 0.26, + "grad_norm": 1.8067963606655013, + "learning_rate": 1.7259466347154393e-05, + "loss": 0.894, + "step": 11213 + }, + { + "epoch": 0.26, + "grad_norm": 1.7142600513663444, + "learning_rate": 1.72589415437439e-05, + "loss": 0.8185, + "step": 11214 + }, + { + "epoch": 0.26, + "grad_norm": 2.0049478725125973, + "learning_rate": 1.725841669806955e-05, + "loss": 0.8576, + "step": 11215 + }, + { + "epoch": 0.26, + "grad_norm": 1.6321420586635578, + "learning_rate": 1.72578918101344e-05, + "loss": 0.8931, + "step": 11216 + }, + { + "epoch": 0.26, + "grad_norm": 1.6473977852567798, + "learning_rate": 1.7257366879941508e-05, + "loss": 0.9012, + "step": 11217 + }, + { + "epoch": 0.26, + "grad_norm": 1.6462135666891191, + "learning_rate": 1.7256841907493928e-05, + "loss": 0.9154, + "step": 11218 + }, + { + "epoch": 0.26, + "grad_norm": 1.9817238975692895, + "learning_rate": 1.7256316892794712e-05, + "loss": 0.9474, + "step": 11219 + }, + { + "epoch": 0.26, + "grad_norm": 1.9029542497004348, + "learning_rate": 1.7255791835846926e-05, + "loss": 0.9391, + "step": 11220 + }, + { + "epoch": 0.26, + "grad_norm": 1.778790276884935, + "learning_rate": 1.725526673665362e-05, + "loss": 0.8835, + "step": 11221 + }, + { + "epoch": 0.26, + "grad_norm": 5.658187976717464, + "learning_rate": 1.7254741595217856e-05, + "loss": 0.9043, + "step": 11222 + }, + { + "epoch": 0.26, + "grad_norm": 1.748089205506392, + "learning_rate": 1.725421641154269e-05, + "loss": 0.9297, + "step": 11223 + }, + { + "epoch": 0.26, + "grad_norm": 1.5680751909381236, + "learning_rate": 1.725369118563118e-05, + "loss": 0.8362, + "step": 11224 + }, + { + "epoch": 0.26, + "grad_norm": 1.685320052703521, + "learning_rate": 1.725316591748638e-05, + "loss": 0.9279, + "step": 11225 + }, + { + "epoch": 0.26, + "grad_norm": 1.783819423099934, + "learning_rate": 1.7252640607111354e-05, + "loss": 0.8824, + "step": 11226 + }, + { + "epoch": 0.26, + "grad_norm": 1.8669735480611802, + "learning_rate": 1.725211525450916e-05, + "loss": 0.8638, + "step": 11227 + }, + { + "epoch": 0.26, + "grad_norm": 1.618834268910168, + "learning_rate": 1.725158985968285e-05, + "loss": 0.8042, + "step": 11228 + }, + { + "epoch": 0.26, + "grad_norm": 2.2493963446812195, + "learning_rate": 1.725106442263549e-05, + "loss": 0.8884, + "step": 11229 + }, + { + "epoch": 0.26, + "grad_norm": 0.7837913180995975, + "learning_rate": 1.7250538943370142e-05, + "loss": 0.7312, + "step": 11230 + }, + { + "epoch": 0.26, + "grad_norm": 3.1489913356580663, + "learning_rate": 1.7250013421889857e-05, + "loss": 0.9777, + "step": 11231 + }, + { + "epoch": 0.26, + "grad_norm": 2.600569784020343, + "learning_rate": 1.7249487858197698e-05, + "loss": 1.0069, + "step": 11232 + }, + { + "epoch": 0.26, + "grad_norm": 1.7965153091030077, + "learning_rate": 1.7248962252296725e-05, + "loss": 0.9312, + "step": 11233 + }, + { + "epoch": 0.26, + "grad_norm": 1.6389373016701194, + "learning_rate": 1.724843660419e-05, + "loss": 0.8734, + "step": 11234 + }, + { + "epoch": 0.26, + "grad_norm": 1.629638905864513, + "learning_rate": 1.7247910913880583e-05, + "loss": 1.0621, + "step": 11235 + }, + { + "epoch": 0.26, + "grad_norm": 1.5852213489804008, + "learning_rate": 1.7247385181371535e-05, + "loss": 0.9623, + "step": 11236 + }, + { + "epoch": 0.26, + "grad_norm": 1.628334961063071, + "learning_rate": 1.7246859406665916e-05, + "loss": 1.047, + "step": 11237 + }, + { + "epoch": 0.26, + "grad_norm": 2.1095211724430367, + "learning_rate": 1.7246333589766786e-05, + "loss": 1.079, + "step": 11238 + }, + { + "epoch": 0.26, + "grad_norm": 1.5330557611512563, + "learning_rate": 1.7245807730677206e-05, + "loss": 0.8657, + "step": 11239 + }, + { + "epoch": 0.26, + "grad_norm": 1.8679764342163703, + "learning_rate": 1.724528182940024e-05, + "loss": 0.9518, + "step": 11240 + }, + { + "epoch": 0.26, + "grad_norm": 2.0677278583915553, + "learning_rate": 1.724475588593895e-05, + "loss": 0.7062, + "step": 11241 + }, + { + "epoch": 0.26, + "grad_norm": 2.9131004156380462, + "learning_rate": 1.7244229900296398e-05, + "loss": 0.9029, + "step": 11242 + }, + { + "epoch": 0.26, + "grad_norm": 0.7856604035028063, + "learning_rate": 1.724370387247565e-05, + "loss": 0.7858, + "step": 11243 + }, + { + "epoch": 0.26, + "grad_norm": 1.7592552661701568, + "learning_rate": 1.7243177802479758e-05, + "loss": 0.9792, + "step": 11244 + }, + { + "epoch": 0.26, + "grad_norm": 1.7108514817522364, + "learning_rate": 1.7242651690311794e-05, + "loss": 1.0143, + "step": 11245 + }, + { + "epoch": 0.26, + "grad_norm": 1.8016769486982587, + "learning_rate": 1.724212553597482e-05, + "loss": 0.8838, + "step": 11246 + }, + { + "epoch": 0.26, + "grad_norm": 1.9991776030892554, + "learning_rate": 1.7241599339471894e-05, + "loss": 0.9935, + "step": 11247 + }, + { + "epoch": 0.26, + "grad_norm": 1.9337421838003417, + "learning_rate": 1.724107310080609e-05, + "loss": 0.9255, + "step": 11248 + }, + { + "epoch": 0.27, + "grad_norm": 1.8301308033930332, + "learning_rate": 1.724054681998046e-05, + "loss": 0.9516, + "step": 11249 + }, + { + "epoch": 0.27, + "grad_norm": 1.7223368078083208, + "learning_rate": 1.724002049699808e-05, + "loss": 0.9417, + "step": 11250 + }, + { + "epoch": 0.27, + "grad_norm": 1.545190578156371, + "learning_rate": 1.7239494131862003e-05, + "loss": 0.9508, + "step": 11251 + }, + { + "epoch": 0.27, + "grad_norm": 1.5614395294255807, + "learning_rate": 1.7238967724575305e-05, + "loss": 0.8154, + "step": 11252 + }, + { + "epoch": 0.27, + "grad_norm": 1.8034621148825207, + "learning_rate": 1.723844127514104e-05, + "loss": 1.1328, + "step": 11253 + }, + { + "epoch": 0.27, + "grad_norm": 1.506475606125901, + "learning_rate": 1.7237914783562283e-05, + "loss": 0.9779, + "step": 11254 + }, + { + "epoch": 0.27, + "grad_norm": 1.5140434348622334, + "learning_rate": 1.723738824984209e-05, + "loss": 0.776, + "step": 11255 + }, + { + "epoch": 0.27, + "grad_norm": 1.7338355506554168, + "learning_rate": 1.7236861673983534e-05, + "loss": 0.9246, + "step": 11256 + }, + { + "epoch": 0.27, + "grad_norm": 2.5391724292749487, + "learning_rate": 1.7236335055989676e-05, + "loss": 0.9414, + "step": 11257 + }, + { + "epoch": 0.27, + "grad_norm": 1.693048685319219, + "learning_rate": 1.7235808395863586e-05, + "loss": 0.894, + "step": 11258 + }, + { + "epoch": 0.27, + "grad_norm": 1.695580694245642, + "learning_rate": 1.723528169360833e-05, + "loss": 0.9547, + "step": 11259 + }, + { + "epoch": 0.27, + "grad_norm": 1.6672072684559263, + "learning_rate": 1.723475494922697e-05, + "loss": 0.9078, + "step": 11260 + }, + { + "epoch": 0.27, + "grad_norm": 0.7958809578254501, + "learning_rate": 1.723422816272258e-05, + "loss": 0.784, + "step": 11261 + }, + { + "epoch": 0.27, + "grad_norm": 1.6527448117699308, + "learning_rate": 1.723370133409822e-05, + "loss": 0.8931, + "step": 11262 + }, + { + "epoch": 0.27, + "grad_norm": 0.8374889333703227, + "learning_rate": 1.723317446335696e-05, + "loss": 0.781, + "step": 11263 + }, + { + "epoch": 0.27, + "grad_norm": 0.7971647211569689, + "learning_rate": 1.7232647550501875e-05, + "loss": 0.7361, + "step": 11264 + }, + { + "epoch": 0.27, + "grad_norm": 1.6286364663453734, + "learning_rate": 1.723212059553602e-05, + "loss": 0.8631, + "step": 11265 + }, + { + "epoch": 0.27, + "grad_norm": 1.548139742726575, + "learning_rate": 1.723159359846247e-05, + "loss": 0.8915, + "step": 11266 + }, + { + "epoch": 0.27, + "grad_norm": 0.8014487041370806, + "learning_rate": 1.7231066559284293e-05, + "loss": 0.744, + "step": 11267 + }, + { + "epoch": 0.27, + "grad_norm": 1.8262741078738154, + "learning_rate": 1.723053947800456e-05, + "loss": 0.9331, + "step": 11268 + }, + { + "epoch": 0.27, + "grad_norm": 2.3882315449433156, + "learning_rate": 1.7230012354626334e-05, + "loss": 0.8708, + "step": 11269 + }, + { + "epoch": 0.27, + "grad_norm": 1.788724913625474, + "learning_rate": 1.722948518915269e-05, + "loss": 0.8726, + "step": 11270 + }, + { + "epoch": 0.27, + "grad_norm": 1.6190992058568603, + "learning_rate": 1.722895798158669e-05, + "loss": 1.005, + "step": 11271 + }, + { + "epoch": 0.27, + "grad_norm": 1.7661449920205736, + "learning_rate": 1.7228430731931407e-05, + "loss": 0.9172, + "step": 11272 + }, + { + "epoch": 0.27, + "grad_norm": 2.0758116615324296, + "learning_rate": 1.7227903440189914e-05, + "loss": 0.8356, + "step": 11273 + }, + { + "epoch": 0.27, + "grad_norm": 1.6977128885019233, + "learning_rate": 1.722737610636528e-05, + "loss": 0.7718, + "step": 11274 + }, + { + "epoch": 0.27, + "grad_norm": 1.9390813064073857, + "learning_rate": 1.7226848730460574e-05, + "loss": 0.9238, + "step": 11275 + }, + { + "epoch": 0.27, + "grad_norm": 1.7721746040683954, + "learning_rate": 1.722632131247887e-05, + "loss": 0.9429, + "step": 11276 + }, + { + "epoch": 0.27, + "grad_norm": 1.720952739519491, + "learning_rate": 1.722579385242323e-05, + "loss": 0.8529, + "step": 11277 + }, + { + "epoch": 0.27, + "grad_norm": 0.7456530466104202, + "learning_rate": 1.7225266350296733e-05, + "loss": 0.6949, + "step": 11278 + }, + { + "epoch": 0.27, + "grad_norm": 1.7600531449688919, + "learning_rate": 1.7224738806102447e-05, + "loss": 0.7523, + "step": 11279 + }, + { + "epoch": 0.27, + "grad_norm": 1.816555241721806, + "learning_rate": 1.7224211219843444e-05, + "loss": 0.8977, + "step": 11280 + }, + { + "epoch": 0.27, + "grad_norm": 1.7630649686098394, + "learning_rate": 1.7223683591522798e-05, + "loss": 1.0031, + "step": 11281 + }, + { + "epoch": 0.27, + "grad_norm": 1.6002009211206454, + "learning_rate": 1.7223155921143578e-05, + "loss": 0.8052, + "step": 11282 + }, + { + "epoch": 0.27, + "grad_norm": 1.6907965053711214, + "learning_rate": 1.7222628208708857e-05, + "loss": 0.9456, + "step": 11283 + }, + { + "epoch": 0.27, + "grad_norm": 1.5926429296838565, + "learning_rate": 1.722210045422171e-05, + "loss": 0.9393, + "step": 11284 + }, + { + "epoch": 0.27, + "grad_norm": 1.9639486358693254, + "learning_rate": 1.7221572657685205e-05, + "loss": 0.8866, + "step": 11285 + }, + { + "epoch": 0.27, + "grad_norm": 1.9344488619974722, + "learning_rate": 1.722104481910242e-05, + "loss": 0.9125, + "step": 11286 + }, + { + "epoch": 0.27, + "grad_norm": 1.5100937172381352, + "learning_rate": 1.722051693847642e-05, + "loss": 0.9067, + "step": 11287 + }, + { + "epoch": 0.27, + "grad_norm": 0.7558435097558447, + "learning_rate": 1.721998901581029e-05, + "loss": 0.6873, + "step": 11288 + }, + { + "epoch": 0.27, + "grad_norm": 2.713635623441992, + "learning_rate": 1.7219461051107102e-05, + "loss": 0.9856, + "step": 11289 + }, + { + "epoch": 0.27, + "grad_norm": 1.6176241991293467, + "learning_rate": 1.721893304436992e-05, + "loss": 0.989, + "step": 11290 + }, + { + "epoch": 0.27, + "grad_norm": 1.9627725113435537, + "learning_rate": 1.7218404995601823e-05, + "loss": 1.034, + "step": 11291 + }, + { + "epoch": 0.27, + "grad_norm": 1.7182544023193254, + "learning_rate": 1.721787690480589e-05, + "loss": 0.915, + "step": 11292 + }, + { + "epoch": 0.27, + "grad_norm": 1.8484783078916316, + "learning_rate": 1.7217348771985194e-05, + "loss": 0.8485, + "step": 11293 + }, + { + "epoch": 0.27, + "grad_norm": 2.1014217793442813, + "learning_rate": 1.7216820597142804e-05, + "loss": 0.8476, + "step": 11294 + }, + { + "epoch": 0.27, + "grad_norm": 1.5046318062127844, + "learning_rate": 1.7216292380281802e-05, + "loss": 0.9158, + "step": 11295 + }, + { + "epoch": 0.27, + "grad_norm": 1.6298006010863746, + "learning_rate": 1.721576412140526e-05, + "loss": 0.8946, + "step": 11296 + }, + { + "epoch": 0.27, + "grad_norm": 1.7017292014854601, + "learning_rate": 1.721523582051626e-05, + "loss": 0.8639, + "step": 11297 + }, + { + "epoch": 0.27, + "grad_norm": 1.5891646959219692, + "learning_rate": 1.7214707477617866e-05, + "loss": 0.8646, + "step": 11298 + }, + { + "epoch": 0.27, + "grad_norm": 1.9661452062936862, + "learning_rate": 1.7214179092713165e-05, + "loss": 0.7629, + "step": 11299 + }, + { + "epoch": 0.27, + "grad_norm": 1.4940710045490595, + "learning_rate": 1.7213650665805224e-05, + "loss": 0.8895, + "step": 11300 + }, + { + "epoch": 0.27, + "grad_norm": 2.064246695152596, + "learning_rate": 1.7213122196897135e-05, + "loss": 0.8659, + "step": 11301 + }, + { + "epoch": 0.27, + "grad_norm": 1.5544900127197787, + "learning_rate": 1.7212593685991956e-05, + "loss": 1.0081, + "step": 11302 + }, + { + "epoch": 0.27, + "grad_norm": 0.7493057734741979, + "learning_rate": 1.7212065133092778e-05, + "loss": 0.7272, + "step": 11303 + }, + { + "epoch": 0.27, + "grad_norm": 0.7605431456266555, + "learning_rate": 1.7211536538202673e-05, + "loss": 0.754, + "step": 11304 + }, + { + "epoch": 0.27, + "grad_norm": 1.670786203758318, + "learning_rate": 1.7211007901324714e-05, + "loss": 0.8923, + "step": 11305 + }, + { + "epoch": 0.27, + "grad_norm": 1.7466931716968341, + "learning_rate": 1.721047922246199e-05, + "loss": 0.8597, + "step": 11306 + }, + { + "epoch": 0.27, + "grad_norm": 1.6790624608354603, + "learning_rate": 1.720995050161757e-05, + "loss": 0.9384, + "step": 11307 + }, + { + "epoch": 0.27, + "grad_norm": 1.482129598292086, + "learning_rate": 1.7209421738794536e-05, + "loss": 0.9313, + "step": 11308 + }, + { + "epoch": 0.27, + "grad_norm": 1.725101387651939, + "learning_rate": 1.720889293399597e-05, + "loss": 0.8388, + "step": 11309 + }, + { + "epoch": 0.27, + "grad_norm": 3.4813723406694637, + "learning_rate": 1.720836408722494e-05, + "loss": 0.9802, + "step": 11310 + }, + { + "epoch": 0.27, + "grad_norm": 0.7826534448022034, + "learning_rate": 1.7207835198484537e-05, + "loss": 0.72, + "step": 11311 + }, + { + "epoch": 0.27, + "grad_norm": 1.5932778404918355, + "learning_rate": 1.720730626777783e-05, + "loss": 0.8632, + "step": 11312 + }, + { + "epoch": 0.27, + "grad_norm": 1.5023018850568495, + "learning_rate": 1.720677729510791e-05, + "loss": 0.869, + "step": 11313 + }, + { + "epoch": 0.27, + "grad_norm": 1.8237916628147275, + "learning_rate": 1.720624828047785e-05, + "loss": 0.8761, + "step": 11314 + }, + { + "epoch": 0.27, + "grad_norm": 1.6036324480625281, + "learning_rate": 1.7205719223890732e-05, + "loss": 0.8242, + "step": 11315 + }, + { + "epoch": 0.27, + "grad_norm": 2.84786959235784, + "learning_rate": 1.7205190125349633e-05, + "loss": 0.7946, + "step": 11316 + }, + { + "epoch": 0.27, + "grad_norm": 1.6518769312512103, + "learning_rate": 1.7204660984857638e-05, + "loss": 0.8105, + "step": 11317 + }, + { + "epoch": 0.27, + "grad_norm": 1.9374742429914145, + "learning_rate": 1.7204131802417826e-05, + "loss": 0.9409, + "step": 11318 + }, + { + "epoch": 0.27, + "grad_norm": 1.866314372506022, + "learning_rate": 1.7203602578033275e-05, + "loss": 0.8457, + "step": 11319 + }, + { + "epoch": 0.27, + "grad_norm": 1.6184687666049486, + "learning_rate": 1.7203073311707072e-05, + "loss": 0.833, + "step": 11320 + }, + { + "epoch": 0.27, + "grad_norm": 2.223499025143294, + "learning_rate": 1.720254400344229e-05, + "loss": 0.8152, + "step": 11321 + }, + { + "epoch": 0.27, + "grad_norm": 1.6617084987464124, + "learning_rate": 1.720201465324202e-05, + "loss": 0.9054, + "step": 11322 + }, + { + "epoch": 0.27, + "grad_norm": 1.7327258088105648, + "learning_rate": 1.7201485261109345e-05, + "loss": 0.963, + "step": 11323 + }, + { + "epoch": 0.27, + "grad_norm": 1.707849537863288, + "learning_rate": 1.720095582704734e-05, + "loss": 0.9366, + "step": 11324 + }, + { + "epoch": 0.27, + "grad_norm": 1.6123715090955575, + "learning_rate": 1.7200426351059093e-05, + "loss": 0.9022, + "step": 11325 + }, + { + "epoch": 0.27, + "grad_norm": 1.6752608992853193, + "learning_rate": 1.719989683314768e-05, + "loss": 0.9343, + "step": 11326 + }, + { + "epoch": 0.27, + "grad_norm": 1.4754632632607083, + "learning_rate": 1.7199367273316187e-05, + "loss": 0.9213, + "step": 11327 + }, + { + "epoch": 0.27, + "grad_norm": 1.4320990954885167, + "learning_rate": 1.71988376715677e-05, + "loss": 0.9752, + "step": 11328 + }, + { + "epoch": 0.27, + "grad_norm": 1.4188208542048584, + "learning_rate": 1.71983080279053e-05, + "loss": 1.0033, + "step": 11329 + }, + { + "epoch": 0.27, + "grad_norm": 1.5547874586805186, + "learning_rate": 1.7197778342332075e-05, + "loss": 0.7959, + "step": 11330 + }, + { + "epoch": 0.27, + "grad_norm": 1.7286259069122283, + "learning_rate": 1.7197248614851103e-05, + "loss": 0.9021, + "step": 11331 + }, + { + "epoch": 0.27, + "grad_norm": 2.1832495161058953, + "learning_rate": 1.7196718845465472e-05, + "loss": 0.8731, + "step": 11332 + }, + { + "epoch": 0.27, + "grad_norm": 1.6884186171553843, + "learning_rate": 1.7196189034178267e-05, + "loss": 0.9219, + "step": 11333 + }, + { + "epoch": 0.27, + "grad_norm": 1.6835899185302465, + "learning_rate": 1.719565918099257e-05, + "loss": 0.9077, + "step": 11334 + }, + { + "epoch": 0.27, + "grad_norm": 1.9358579402080727, + "learning_rate": 1.7195129285911465e-05, + "loss": 0.9847, + "step": 11335 + }, + { + "epoch": 0.27, + "grad_norm": 1.7102982723872873, + "learning_rate": 1.7194599348938042e-05, + "loss": 0.8825, + "step": 11336 + }, + { + "epoch": 0.27, + "grad_norm": 1.6228966846267947, + "learning_rate": 1.719406937007538e-05, + "loss": 0.9178, + "step": 11337 + }, + { + "epoch": 0.27, + "grad_norm": 1.864234890595187, + "learning_rate": 1.7193539349326573e-05, + "loss": 0.8576, + "step": 11338 + }, + { + "epoch": 0.27, + "grad_norm": 1.6129149892964778, + "learning_rate": 1.71930092866947e-05, + "loss": 0.8575, + "step": 11339 + }, + { + "epoch": 0.27, + "grad_norm": 1.5567319481540596, + "learning_rate": 1.7192479182182853e-05, + "loss": 0.9521, + "step": 11340 + }, + { + "epoch": 0.27, + "grad_norm": 3.3537756846570717, + "learning_rate": 1.7191949035794113e-05, + "loss": 0.8831, + "step": 11341 + }, + { + "epoch": 0.27, + "grad_norm": 1.7276896351285411, + "learning_rate": 1.7191418847531567e-05, + "loss": 0.9031, + "step": 11342 + }, + { + "epoch": 0.27, + "grad_norm": 2.7134366496436604, + "learning_rate": 1.7190888617398306e-05, + "loss": 1.0522, + "step": 11343 + }, + { + "epoch": 0.27, + "grad_norm": 1.6000227715472919, + "learning_rate": 1.7190358345397412e-05, + "loss": 0.9542, + "step": 11344 + }, + { + "epoch": 0.27, + "grad_norm": 1.7221256991250737, + "learning_rate": 1.718982803153198e-05, + "loss": 0.9275, + "step": 11345 + }, + { + "epoch": 0.27, + "grad_norm": 2.029983013036052, + "learning_rate": 1.7189297675805088e-05, + "loss": 0.9952, + "step": 11346 + }, + { + "epoch": 0.27, + "grad_norm": 2.812962330575727, + "learning_rate": 1.718876727821983e-05, + "loss": 0.9231, + "step": 11347 + }, + { + "epoch": 0.27, + "grad_norm": 1.7276170995590296, + "learning_rate": 1.7188236838779297e-05, + "loss": 0.919, + "step": 11348 + }, + { + "epoch": 0.27, + "grad_norm": 1.6652889958370245, + "learning_rate": 1.718770635748657e-05, + "loss": 0.9245, + "step": 11349 + }, + { + "epoch": 0.27, + "grad_norm": 1.884620367886352, + "learning_rate": 1.718717583434474e-05, + "loss": 1.0199, + "step": 11350 + }, + { + "epoch": 0.27, + "grad_norm": 1.4294895380478747, + "learning_rate": 1.71866452693569e-05, + "loss": 0.887, + "step": 11351 + }, + { + "epoch": 0.27, + "grad_norm": 1.664550344976814, + "learning_rate": 1.718611466252613e-05, + "loss": 0.8352, + "step": 11352 + }, + { + "epoch": 0.27, + "grad_norm": 1.7777236928647173, + "learning_rate": 1.718558401385553e-05, + "loss": 0.9145, + "step": 11353 + }, + { + "epoch": 0.27, + "grad_norm": 1.6071855779939133, + "learning_rate": 1.7185053323348187e-05, + "loss": 0.8236, + "step": 11354 + }, + { + "epoch": 0.27, + "grad_norm": 1.6634168075772098, + "learning_rate": 1.7184522591007184e-05, + "loss": 0.9458, + "step": 11355 + }, + { + "epoch": 0.27, + "grad_norm": 1.6831713643633082, + "learning_rate": 1.718399181683562e-05, + "loss": 0.8388, + "step": 11356 + }, + { + "epoch": 0.27, + "grad_norm": 2.060290120244752, + "learning_rate": 1.718346100083658e-05, + "loss": 0.8938, + "step": 11357 + }, + { + "epoch": 0.27, + "grad_norm": 0.7815693027317372, + "learning_rate": 1.7182930143013154e-05, + "loss": 0.7371, + "step": 11358 + }, + { + "epoch": 0.27, + "grad_norm": 1.99737099914396, + "learning_rate": 1.7182399243368436e-05, + "loss": 0.8011, + "step": 11359 + }, + { + "epoch": 0.27, + "grad_norm": 1.5891593819835346, + "learning_rate": 1.7181868301905515e-05, + "loss": 0.8847, + "step": 11360 + }, + { + "epoch": 0.27, + "grad_norm": 0.7486090891279441, + "learning_rate": 1.7181337318627485e-05, + "loss": 0.697, + "step": 11361 + }, + { + "epoch": 0.27, + "grad_norm": 1.7838175708539987, + "learning_rate": 1.7180806293537435e-05, + "loss": 0.9215, + "step": 11362 + }, + { + "epoch": 0.27, + "grad_norm": 1.6268777642006638, + "learning_rate": 1.7180275226638455e-05, + "loss": 0.9211, + "step": 11363 + }, + { + "epoch": 0.27, + "grad_norm": 1.6892436525409875, + "learning_rate": 1.7179744117933642e-05, + "loss": 0.9193, + "step": 11364 + }, + { + "epoch": 0.27, + "grad_norm": 0.7408899828720742, + "learning_rate": 1.7179212967426083e-05, + "loss": 0.7483, + "step": 11365 + }, + { + "epoch": 0.27, + "grad_norm": 1.9553531016948666, + "learning_rate": 1.7178681775118874e-05, + "loss": 0.9037, + "step": 11366 + }, + { + "epoch": 0.27, + "grad_norm": 1.6628089132335357, + "learning_rate": 1.717815054101511e-05, + "loss": 0.921, + "step": 11367 + }, + { + "epoch": 0.27, + "grad_norm": 1.6483661514666113, + "learning_rate": 1.717761926511788e-05, + "loss": 0.9677, + "step": 11368 + }, + { + "epoch": 0.27, + "grad_norm": 2.0159751244982163, + "learning_rate": 1.7177087947430275e-05, + "loss": 0.9093, + "step": 11369 + }, + { + "epoch": 0.27, + "grad_norm": 1.7087919671363105, + "learning_rate": 1.717655658795539e-05, + "loss": 0.9811, + "step": 11370 + }, + { + "epoch": 0.27, + "grad_norm": 0.7630925400306491, + "learning_rate": 1.717602518669633e-05, + "loss": 0.7712, + "step": 11371 + }, + { + "epoch": 0.27, + "grad_norm": 1.6510479556184774, + "learning_rate": 1.717549374365617e-05, + "loss": 0.902, + "step": 11372 + }, + { + "epoch": 0.27, + "grad_norm": 0.8017233180382011, + "learning_rate": 1.717496225883802e-05, + "loss": 0.7689, + "step": 11373 + }, + { + "epoch": 0.27, + "grad_norm": 1.6004742404078445, + "learning_rate": 1.717443073224496e-05, + "loss": 0.8413, + "step": 11374 + }, + { + "epoch": 0.27, + "grad_norm": 2.5563305530574527, + "learning_rate": 1.7173899163880105e-05, + "loss": 0.845, + "step": 11375 + }, + { + "epoch": 0.27, + "grad_norm": 1.5430737316543943, + "learning_rate": 1.7173367553746526e-05, + "loss": 0.931, + "step": 11376 + }, + { + "epoch": 0.27, + "grad_norm": 1.5939679953430137, + "learning_rate": 1.7172835901847338e-05, + "loss": 0.9471, + "step": 11377 + }, + { + "epoch": 0.27, + "grad_norm": 0.7706775136941897, + "learning_rate": 1.7172304208185627e-05, + "loss": 0.7899, + "step": 11378 + }, + { + "epoch": 0.27, + "grad_norm": 1.5502524809168576, + "learning_rate": 1.7171772472764488e-05, + "loss": 0.9827, + "step": 11379 + }, + { + "epoch": 0.27, + "grad_norm": 1.7205845951194103, + "learning_rate": 1.717124069558702e-05, + "loss": 0.9159, + "step": 11380 + }, + { + "epoch": 0.27, + "grad_norm": 1.8632694651435446, + "learning_rate": 1.717070887665632e-05, + "loss": 0.9788, + "step": 11381 + }, + { + "epoch": 0.27, + "grad_norm": 3.9918350832606233, + "learning_rate": 1.717017701597548e-05, + "loss": 0.8796, + "step": 11382 + }, + { + "epoch": 0.27, + "grad_norm": 1.724311361061355, + "learning_rate": 1.7169645113547598e-05, + "loss": 0.9351, + "step": 11383 + }, + { + "epoch": 0.27, + "grad_norm": 1.7722197835915205, + "learning_rate": 1.7169113169375778e-05, + "loss": 0.9821, + "step": 11384 + }, + { + "epoch": 0.27, + "grad_norm": 1.8019631594753835, + "learning_rate": 1.7168581183463106e-05, + "loss": 0.9072, + "step": 11385 + }, + { + "epoch": 0.27, + "grad_norm": 2.569312208602369, + "learning_rate": 1.7168049155812686e-05, + "loss": 0.798, + "step": 11386 + }, + { + "epoch": 0.27, + "grad_norm": 0.9836636805170319, + "learning_rate": 1.7167517086427618e-05, + "loss": 0.7554, + "step": 11387 + }, + { + "epoch": 0.27, + "grad_norm": 1.6585107150428935, + "learning_rate": 1.716698497531099e-05, + "loss": 0.8491, + "step": 11388 + }, + { + "epoch": 0.27, + "grad_norm": 0.792064240082765, + "learning_rate": 1.7166452822465913e-05, + "loss": 0.7361, + "step": 11389 + }, + { + "epoch": 0.27, + "grad_norm": 1.7266500953834336, + "learning_rate": 1.7165920627895477e-05, + "loss": 0.9502, + "step": 11390 + }, + { + "epoch": 0.27, + "grad_norm": 1.885580828291886, + "learning_rate": 1.7165388391602783e-05, + "loss": 0.8997, + "step": 11391 + }, + { + "epoch": 0.27, + "grad_norm": 1.7242805637590843, + "learning_rate": 1.7164856113590925e-05, + "loss": 1.0064, + "step": 11392 + }, + { + "epoch": 0.27, + "grad_norm": 2.117948987909777, + "learning_rate": 1.716432379386301e-05, + "loss": 0.9639, + "step": 11393 + }, + { + "epoch": 0.27, + "grad_norm": 1.6581071939200476, + "learning_rate": 1.7163791432422133e-05, + "loss": 0.9431, + "step": 11394 + }, + { + "epoch": 0.27, + "grad_norm": 1.8907740719281043, + "learning_rate": 1.7163259029271392e-05, + "loss": 0.9358, + "step": 11395 + }, + { + "epoch": 0.27, + "grad_norm": 1.7846874319820816, + "learning_rate": 1.716272658441389e-05, + "loss": 0.8349, + "step": 11396 + }, + { + "epoch": 0.27, + "grad_norm": 2.2276299348390243, + "learning_rate": 1.716219409785273e-05, + "loss": 0.8088, + "step": 11397 + }, + { + "epoch": 0.27, + "grad_norm": 1.9505351426663295, + "learning_rate": 1.7161661569591004e-05, + "loss": 0.8613, + "step": 11398 + }, + { + "epoch": 0.27, + "grad_norm": 1.7486554313071256, + "learning_rate": 1.716112899963182e-05, + "loss": 0.9406, + "step": 11399 + }, + { + "epoch": 0.27, + "grad_norm": 1.8580160586235932, + "learning_rate": 1.7160596387978273e-05, + "loss": 0.9647, + "step": 11400 + }, + { + "epoch": 0.27, + "grad_norm": 1.5055787627915374, + "learning_rate": 1.7160063734633468e-05, + "loss": 0.9109, + "step": 11401 + }, + { + "epoch": 0.27, + "grad_norm": 1.651107062159186, + "learning_rate": 1.7159531039600507e-05, + "loss": 0.9321, + "step": 11402 + }, + { + "epoch": 0.27, + "grad_norm": 2.0525341508371495, + "learning_rate": 1.715899830288249e-05, + "loss": 0.9714, + "step": 11403 + }, + { + "epoch": 0.27, + "grad_norm": 2.0678787652405957, + "learning_rate": 1.7158465524482512e-05, + "loss": 0.9351, + "step": 11404 + }, + { + "epoch": 0.27, + "grad_norm": 1.700316851372971, + "learning_rate": 1.715793270440369e-05, + "loss": 0.9165, + "step": 11405 + }, + { + "epoch": 0.27, + "grad_norm": 1.5146110781468416, + "learning_rate": 1.715739984264911e-05, + "loss": 0.9486, + "step": 11406 + }, + { + "epoch": 0.27, + "grad_norm": 1.4764986583791377, + "learning_rate": 1.7156866939221888e-05, + "loss": 0.8541, + "step": 11407 + }, + { + "epoch": 0.27, + "grad_norm": 1.509073235931666, + "learning_rate": 1.715633399412512e-05, + "loss": 0.8933, + "step": 11408 + }, + { + "epoch": 0.27, + "grad_norm": 1.8634205818938623, + "learning_rate": 1.7155801007361908e-05, + "loss": 0.8122, + "step": 11409 + }, + { + "epoch": 0.27, + "grad_norm": 2.2657771771343445, + "learning_rate": 1.7155267978935355e-05, + "loss": 0.8844, + "step": 11410 + }, + { + "epoch": 0.27, + "grad_norm": 1.6901788608444128, + "learning_rate": 1.7154734908848568e-05, + "loss": 0.9455, + "step": 11411 + }, + { + "epoch": 0.27, + "grad_norm": 1.69787243008886, + "learning_rate": 1.715420179710465e-05, + "loss": 0.9864, + "step": 11412 + }, + { + "epoch": 0.27, + "grad_norm": 0.9184971946337576, + "learning_rate": 1.7153668643706704e-05, + "loss": 0.728, + "step": 11413 + }, + { + "epoch": 0.27, + "grad_norm": 1.654107066068019, + "learning_rate": 1.7153135448657834e-05, + "loss": 1.0503, + "step": 11414 + }, + { + "epoch": 0.27, + "grad_norm": 1.5938385212132609, + "learning_rate": 1.7152602211961146e-05, + "loss": 1.0343, + "step": 11415 + }, + { + "epoch": 0.27, + "grad_norm": 2.185665832539685, + "learning_rate": 1.7152068933619742e-05, + "loss": 0.893, + "step": 11416 + }, + { + "epoch": 0.27, + "grad_norm": 2.698769008641849, + "learning_rate": 1.715153561363673e-05, + "loss": 0.8279, + "step": 11417 + }, + { + "epoch": 0.27, + "grad_norm": 0.8266726841853216, + "learning_rate": 1.7151002252015213e-05, + "loss": 0.7609, + "step": 11418 + }, + { + "epoch": 0.27, + "grad_norm": 1.5348022080707162, + "learning_rate": 1.7150468848758296e-05, + "loss": 0.9296, + "step": 11419 + }, + { + "epoch": 0.27, + "grad_norm": 1.4762152985484702, + "learning_rate": 1.7149935403869086e-05, + "loss": 0.9137, + "step": 11420 + }, + { + "epoch": 0.27, + "grad_norm": 0.8296819678047944, + "learning_rate": 1.714940191735069e-05, + "loss": 0.7192, + "step": 11421 + }, + { + "epoch": 0.27, + "grad_norm": 1.5295132273161378, + "learning_rate": 1.714886838920621e-05, + "loss": 0.7568, + "step": 11422 + }, + { + "epoch": 0.27, + "grad_norm": 1.7158015953181838, + "learning_rate": 1.7148334819438758e-05, + "loss": 0.9473, + "step": 11423 + }, + { + "epoch": 0.27, + "grad_norm": 2.5229523340395725, + "learning_rate": 1.7147801208051432e-05, + "loss": 0.9053, + "step": 11424 + }, + { + "epoch": 0.27, + "grad_norm": 1.9131144032677798, + "learning_rate": 1.7147267555047352e-05, + "loss": 0.9814, + "step": 11425 + }, + { + "epoch": 0.27, + "grad_norm": 1.709766913356567, + "learning_rate": 1.7146733860429614e-05, + "loss": 0.7762, + "step": 11426 + }, + { + "epoch": 0.27, + "grad_norm": 1.8774543830431787, + "learning_rate": 1.7146200124201327e-05, + "loss": 0.8153, + "step": 11427 + }, + { + "epoch": 0.27, + "grad_norm": 0.784513431606304, + "learning_rate": 1.71456663463656e-05, + "loss": 0.7083, + "step": 11428 + }, + { + "epoch": 0.27, + "grad_norm": 1.632739147671576, + "learning_rate": 1.7145132526925543e-05, + "loss": 0.7625, + "step": 11429 + }, + { + "epoch": 0.27, + "grad_norm": 1.847207579952492, + "learning_rate": 1.714459866588426e-05, + "loss": 0.8976, + "step": 11430 + }, + { + "epoch": 0.27, + "grad_norm": 1.496365639621765, + "learning_rate": 1.7144064763244864e-05, + "loss": 0.8635, + "step": 11431 + }, + { + "epoch": 0.27, + "grad_norm": 1.793260699680695, + "learning_rate": 1.7143530819010463e-05, + "loss": 0.8857, + "step": 11432 + }, + { + "epoch": 0.27, + "grad_norm": 1.9733504224154714, + "learning_rate": 1.7142996833184163e-05, + "loss": 0.9617, + "step": 11433 + }, + { + "epoch": 0.27, + "grad_norm": 1.5266522377724228, + "learning_rate": 1.7142462805769073e-05, + "loss": 0.8865, + "step": 11434 + }, + { + "epoch": 0.27, + "grad_norm": 1.5958925890568825, + "learning_rate": 1.71419287367683e-05, + "loss": 0.9828, + "step": 11435 + }, + { + "epoch": 0.27, + "grad_norm": 1.7219423879462592, + "learning_rate": 1.7141394626184965e-05, + "loss": 0.8242, + "step": 11436 + }, + { + "epoch": 0.27, + "grad_norm": 1.9463892333484476, + "learning_rate": 1.7140860474022163e-05, + "loss": 0.9328, + "step": 11437 + }, + { + "epoch": 0.27, + "grad_norm": 1.6974985745910258, + "learning_rate": 1.7140326280283013e-05, + "loss": 0.9066, + "step": 11438 + }, + { + "epoch": 0.27, + "grad_norm": 1.5998846748798268, + "learning_rate": 1.7139792044970622e-05, + "loss": 0.7738, + "step": 11439 + }, + { + "epoch": 0.27, + "grad_norm": 2.0056420018115815, + "learning_rate": 1.71392577680881e-05, + "loss": 0.8951, + "step": 11440 + }, + { + "epoch": 0.27, + "grad_norm": 1.5902853173771543, + "learning_rate": 1.7138723449638562e-05, + "loss": 0.9801, + "step": 11441 + }, + { + "epoch": 0.27, + "grad_norm": 1.7008720708192695, + "learning_rate": 1.7138189089625113e-05, + "loss": 0.9327, + "step": 11442 + }, + { + "epoch": 0.27, + "grad_norm": 1.9086400890715933, + "learning_rate": 1.7137654688050868e-05, + "loss": 0.948, + "step": 11443 + }, + { + "epoch": 0.27, + "grad_norm": 1.82634833085467, + "learning_rate": 1.713712024491894e-05, + "loss": 1.0446, + "step": 11444 + }, + { + "epoch": 0.27, + "grad_norm": 1.4573236803517646, + "learning_rate": 1.7136585760232436e-05, + "loss": 0.7637, + "step": 11445 + }, + { + "epoch": 0.27, + "grad_norm": 1.856085892677114, + "learning_rate": 1.713605123399447e-05, + "loss": 0.8405, + "step": 11446 + }, + { + "epoch": 0.27, + "grad_norm": 1.884965514558646, + "learning_rate": 1.7135516666208156e-05, + "loss": 1.0073, + "step": 11447 + }, + { + "epoch": 0.27, + "grad_norm": 1.6370582298383074, + "learning_rate": 1.7134982056876604e-05, + "loss": 0.8969, + "step": 11448 + }, + { + "epoch": 0.27, + "grad_norm": 1.6713977829061006, + "learning_rate": 1.713444740600293e-05, + "loss": 0.9881, + "step": 11449 + }, + { + "epoch": 0.27, + "grad_norm": 1.563106137645751, + "learning_rate": 1.7133912713590243e-05, + "loss": 0.9424, + "step": 11450 + }, + { + "epoch": 0.27, + "grad_norm": 1.5649329350401413, + "learning_rate": 1.7133377979641655e-05, + "loss": 0.8067, + "step": 11451 + }, + { + "epoch": 0.27, + "grad_norm": 1.4140733172548932, + "learning_rate": 1.7132843204160284e-05, + "loss": 0.926, + "step": 11452 + }, + { + "epoch": 0.27, + "grad_norm": 1.5671471331674454, + "learning_rate": 1.713230838714924e-05, + "loss": 0.8972, + "step": 11453 + }, + { + "epoch": 0.27, + "grad_norm": 1.7355772918241645, + "learning_rate": 1.7131773528611643e-05, + "loss": 0.8605, + "step": 11454 + }, + { + "epoch": 0.27, + "grad_norm": 1.73405012860579, + "learning_rate": 1.71312386285506e-05, + "loss": 0.8694, + "step": 11455 + }, + { + "epoch": 0.27, + "grad_norm": 1.684067853908445, + "learning_rate": 1.713070368696923e-05, + "loss": 1.0996, + "step": 11456 + }, + { + "epoch": 0.27, + "grad_norm": 1.6548761586434868, + "learning_rate": 1.713016870387064e-05, + "loss": 0.9217, + "step": 11457 + }, + { + "epoch": 0.27, + "grad_norm": 1.6632430275021293, + "learning_rate": 1.7129633679257956e-05, + "loss": 0.8935, + "step": 11458 + }, + { + "epoch": 0.27, + "grad_norm": 1.655553297701889, + "learning_rate": 1.7129098613134285e-05, + "loss": 0.9158, + "step": 11459 + }, + { + "epoch": 0.27, + "grad_norm": 0.7651227451940005, + "learning_rate": 1.7128563505502744e-05, + "loss": 0.733, + "step": 11460 + }, + { + "epoch": 0.27, + "grad_norm": 3.030158161845256, + "learning_rate": 1.712802835636645e-05, + "loss": 0.8896, + "step": 11461 + }, + { + "epoch": 0.27, + "grad_norm": 1.6694314389683522, + "learning_rate": 1.712749316572852e-05, + "loss": 0.8657, + "step": 11462 + }, + { + "epoch": 0.27, + "grad_norm": 1.642280822214301, + "learning_rate": 1.7126957933592067e-05, + "loss": 0.744, + "step": 11463 + }, + { + "epoch": 0.27, + "grad_norm": 1.7250163474573859, + "learning_rate": 1.7126422659960208e-05, + "loss": 0.8718, + "step": 11464 + }, + { + "epoch": 0.27, + "grad_norm": 1.5979261685289068, + "learning_rate": 1.712588734483606e-05, + "loss": 0.9046, + "step": 11465 + }, + { + "epoch": 0.27, + "grad_norm": 2.172789264694019, + "learning_rate": 1.712535198822274e-05, + "loss": 0.8133, + "step": 11466 + }, + { + "epoch": 0.27, + "grad_norm": 2.0580157185168506, + "learning_rate": 1.7124816590123368e-05, + "loss": 0.9026, + "step": 11467 + }, + { + "epoch": 0.27, + "grad_norm": 1.6521612910419123, + "learning_rate": 1.7124281150541054e-05, + "loss": 0.835, + "step": 11468 + }, + { + "epoch": 0.27, + "grad_norm": 0.8126573241775293, + "learning_rate": 1.712374566947892e-05, + "loss": 0.7476, + "step": 11469 + }, + { + "epoch": 0.27, + "grad_norm": 1.7350145441143874, + "learning_rate": 1.7123210146940087e-05, + "loss": 0.9359, + "step": 11470 + }, + { + "epoch": 0.27, + "grad_norm": 1.8508188811294215, + "learning_rate": 1.7122674582927668e-05, + "loss": 0.9486, + "step": 11471 + }, + { + "epoch": 0.27, + "grad_norm": 0.793439353709271, + "learning_rate": 1.712213897744478e-05, + "loss": 0.7518, + "step": 11472 + }, + { + "epoch": 0.27, + "grad_norm": 1.5642368373114717, + "learning_rate": 1.7121603330494547e-05, + "loss": 0.8294, + "step": 11473 + }, + { + "epoch": 0.27, + "grad_norm": 1.7060712271116822, + "learning_rate": 1.712106764208008e-05, + "loss": 0.9247, + "step": 11474 + }, + { + "epoch": 0.27, + "grad_norm": 1.8524823687547372, + "learning_rate": 1.7120531912204507e-05, + "loss": 0.8532, + "step": 11475 + }, + { + "epoch": 0.27, + "grad_norm": 1.8723249740730281, + "learning_rate": 1.711999614087094e-05, + "loss": 0.9933, + "step": 11476 + }, + { + "epoch": 0.27, + "grad_norm": 2.548342008074934, + "learning_rate": 1.7119460328082506e-05, + "loss": 0.9152, + "step": 11477 + }, + { + "epoch": 0.27, + "grad_norm": 1.4665655124557557, + "learning_rate": 1.7118924473842318e-05, + "loss": 0.9202, + "step": 11478 + }, + { + "epoch": 0.27, + "grad_norm": 1.8481006026244005, + "learning_rate": 1.7118388578153498e-05, + "loss": 0.9294, + "step": 11479 + }, + { + "epoch": 0.27, + "grad_norm": 1.4693167043695068, + "learning_rate": 1.7117852641019162e-05, + "loss": 0.7709, + "step": 11480 + }, + { + "epoch": 0.27, + "grad_norm": 1.4861664603048645, + "learning_rate": 1.711731666244244e-05, + "loss": 0.8891, + "step": 11481 + }, + { + "epoch": 0.27, + "grad_norm": 1.6093034464149893, + "learning_rate": 1.7116780642426444e-05, + "loss": 0.8917, + "step": 11482 + }, + { + "epoch": 0.27, + "grad_norm": 1.443912487010528, + "learning_rate": 1.71162445809743e-05, + "loss": 0.8138, + "step": 11483 + }, + { + "epoch": 0.27, + "grad_norm": 2.6825692847265623, + "learning_rate": 1.7115708478089124e-05, + "loss": 0.9325, + "step": 11484 + }, + { + "epoch": 0.27, + "grad_norm": 1.5913940021888524, + "learning_rate": 1.7115172333774043e-05, + "loss": 0.9109, + "step": 11485 + }, + { + "epoch": 0.27, + "grad_norm": 2.235862488883453, + "learning_rate": 1.7114636148032176e-05, + "loss": 0.803, + "step": 11486 + }, + { + "epoch": 0.27, + "grad_norm": 2.314730365046471, + "learning_rate": 1.7114099920866644e-05, + "loss": 0.8849, + "step": 11487 + }, + { + "epoch": 0.27, + "grad_norm": 1.6739731373929418, + "learning_rate": 1.7113563652280568e-05, + "loss": 0.8517, + "step": 11488 + }, + { + "epoch": 0.27, + "grad_norm": 1.8688437043902857, + "learning_rate": 1.7113027342277077e-05, + "loss": 0.8822, + "step": 11489 + }, + { + "epoch": 0.27, + "grad_norm": 1.8106988360336522, + "learning_rate": 1.7112490990859286e-05, + "loss": 0.9453, + "step": 11490 + }, + { + "epoch": 0.27, + "grad_norm": 1.7447717594394727, + "learning_rate": 1.711195459803032e-05, + "loss": 0.7551, + "step": 11491 + }, + { + "epoch": 0.27, + "grad_norm": 1.5311540437028734, + "learning_rate": 1.71114181637933e-05, + "loss": 0.9338, + "step": 11492 + }, + { + "epoch": 0.27, + "grad_norm": 1.7601577874406893, + "learning_rate": 1.711088168815136e-05, + "loss": 0.9278, + "step": 11493 + }, + { + "epoch": 0.27, + "grad_norm": 1.8367757688779272, + "learning_rate": 1.711034517110761e-05, + "loss": 0.8374, + "step": 11494 + }, + { + "epoch": 0.27, + "grad_norm": 1.8752309042343396, + "learning_rate": 1.710980861266518e-05, + "loss": 0.8239, + "step": 11495 + }, + { + "epoch": 0.27, + "grad_norm": 1.3819686404904938, + "learning_rate": 1.7109272012827195e-05, + "loss": 0.7747, + "step": 11496 + }, + { + "epoch": 0.27, + "grad_norm": 1.7432221228182592, + "learning_rate": 1.7108735371596776e-05, + "loss": 0.9635, + "step": 11497 + }, + { + "epoch": 0.27, + "grad_norm": 2.099846757773804, + "learning_rate": 1.7108198688977048e-05, + "loss": 0.9248, + "step": 11498 + }, + { + "epoch": 0.27, + "grad_norm": 1.6399114414978462, + "learning_rate": 1.7107661964971137e-05, + "loss": 0.9105, + "step": 11499 + }, + { + "epoch": 0.27, + "grad_norm": 2.2414903692373236, + "learning_rate": 1.710712519958217e-05, + "loss": 0.9317, + "step": 11500 + }, + { + "epoch": 0.27, + "grad_norm": 1.689169544970982, + "learning_rate": 1.710658839281327e-05, + "loss": 0.8635, + "step": 11501 + }, + { + "epoch": 0.27, + "grad_norm": 1.491453427146651, + "learning_rate": 1.710605154466756e-05, + "loss": 1.0583, + "step": 11502 + }, + { + "epoch": 0.27, + "grad_norm": 1.6965908288672695, + "learning_rate": 1.7105514655148173e-05, + "loss": 0.8874, + "step": 11503 + }, + { + "epoch": 0.27, + "grad_norm": 2.041858424067533, + "learning_rate": 1.710497772425823e-05, + "loss": 0.8696, + "step": 11504 + }, + { + "epoch": 0.27, + "grad_norm": 1.64036717384663, + "learning_rate": 1.710444075200085e-05, + "loss": 0.9459, + "step": 11505 + }, + { + "epoch": 0.27, + "grad_norm": 2.383384338976247, + "learning_rate": 1.710390373837917e-05, + "loss": 0.8068, + "step": 11506 + }, + { + "epoch": 0.27, + "grad_norm": 0.7997763773035107, + "learning_rate": 1.7103366683396316e-05, + "loss": 0.7179, + "step": 11507 + }, + { + "epoch": 0.27, + "grad_norm": 1.563479109991507, + "learning_rate": 1.7102829587055413e-05, + "loss": 0.8612, + "step": 11508 + }, + { + "epoch": 0.27, + "grad_norm": 0.8060742427372333, + "learning_rate": 1.710229244935958e-05, + "loss": 0.7331, + "step": 11509 + }, + { + "epoch": 0.27, + "grad_norm": 1.8631151978370708, + "learning_rate": 1.7101755270311957e-05, + "loss": 0.9383, + "step": 11510 + }, + { + "epoch": 0.27, + "grad_norm": 1.4804608817728107, + "learning_rate": 1.7101218049915666e-05, + "loss": 0.8898, + "step": 11511 + }, + { + "epoch": 0.27, + "grad_norm": 1.7468019727880773, + "learning_rate": 1.7100680788173836e-05, + "loss": 0.881, + "step": 11512 + }, + { + "epoch": 0.27, + "grad_norm": 2.063880866753923, + "learning_rate": 1.7100143485089596e-05, + "loss": 0.7968, + "step": 11513 + }, + { + "epoch": 0.27, + "grad_norm": 1.5272847821847806, + "learning_rate": 1.7099606140666068e-05, + "loss": 0.9091, + "step": 11514 + }, + { + "epoch": 0.27, + "grad_norm": 2.2064354526994747, + "learning_rate": 1.709906875490639e-05, + "loss": 0.9595, + "step": 11515 + }, + { + "epoch": 0.27, + "grad_norm": 1.4953020483256032, + "learning_rate": 1.7098531327813684e-05, + "loss": 0.8659, + "step": 11516 + }, + { + "epoch": 0.27, + "grad_norm": 1.6709141598493518, + "learning_rate": 1.7097993859391082e-05, + "loss": 0.8964, + "step": 11517 + }, + { + "epoch": 0.27, + "grad_norm": 1.5405667044164995, + "learning_rate": 1.709745634964171e-05, + "loss": 0.8231, + "step": 11518 + }, + { + "epoch": 0.27, + "grad_norm": 2.0025721329476065, + "learning_rate": 1.7096918798568705e-05, + "loss": 0.7671, + "step": 11519 + }, + { + "epoch": 0.27, + "grad_norm": 1.5528758412296766, + "learning_rate": 1.7096381206175188e-05, + "loss": 0.7917, + "step": 11520 + }, + { + "epoch": 0.27, + "grad_norm": 1.619629657174909, + "learning_rate": 1.7095843572464294e-05, + "loss": 1.0247, + "step": 11521 + }, + { + "epoch": 0.27, + "grad_norm": 1.6291577219172864, + "learning_rate": 1.7095305897439152e-05, + "loss": 0.8581, + "step": 11522 + }, + { + "epoch": 0.27, + "grad_norm": 1.9690246949778445, + "learning_rate": 1.7094768181102895e-05, + "loss": 0.8534, + "step": 11523 + }, + { + "epoch": 0.27, + "grad_norm": 1.4771765131676844, + "learning_rate": 1.709423042345865e-05, + "loss": 0.994, + "step": 11524 + }, + { + "epoch": 0.27, + "grad_norm": 1.5230142291173887, + "learning_rate": 1.7093692624509545e-05, + "loss": 0.7815, + "step": 11525 + }, + { + "epoch": 0.27, + "grad_norm": 1.6558259196702714, + "learning_rate": 1.709315478425872e-05, + "loss": 0.8829, + "step": 11526 + }, + { + "epoch": 0.27, + "grad_norm": 1.740447632436287, + "learning_rate": 1.7092616902709304e-05, + "loss": 0.812, + "step": 11527 + }, + { + "epoch": 0.27, + "grad_norm": 2.104244157237844, + "learning_rate": 1.7092078979864425e-05, + "loss": 0.9141, + "step": 11528 + }, + { + "epoch": 0.27, + "grad_norm": 2.2204561893708736, + "learning_rate": 1.7091541015727216e-05, + "loss": 0.781, + "step": 11529 + }, + { + "epoch": 0.27, + "grad_norm": 1.8044155389607317, + "learning_rate": 1.709100301030081e-05, + "loss": 0.92, + "step": 11530 + }, + { + "epoch": 0.27, + "grad_norm": 1.5012236375434176, + "learning_rate": 1.709046496358834e-05, + "loss": 1.0298, + "step": 11531 + }, + { + "epoch": 0.27, + "grad_norm": 0.7751973742578129, + "learning_rate": 1.7089926875592938e-05, + "loss": 0.7283, + "step": 11532 + }, + { + "epoch": 0.27, + "grad_norm": 1.8313101817376523, + "learning_rate": 1.7089388746317738e-05, + "loss": 0.9262, + "step": 11533 + }, + { + "epoch": 0.27, + "grad_norm": 0.8226443422572279, + "learning_rate": 1.708885057576587e-05, + "loss": 0.7717, + "step": 11534 + }, + { + "epoch": 0.27, + "grad_norm": 1.947389257459457, + "learning_rate": 1.7088312363940472e-05, + "loss": 0.8683, + "step": 11535 + }, + { + "epoch": 0.27, + "grad_norm": 1.7176079547516587, + "learning_rate": 1.7087774110844674e-05, + "loss": 1.0006, + "step": 11536 + }, + { + "epoch": 0.27, + "grad_norm": 1.6235719281528203, + "learning_rate": 1.7087235816481614e-05, + "loss": 0.9139, + "step": 11537 + }, + { + "epoch": 0.27, + "grad_norm": 1.8619647355586075, + "learning_rate": 1.7086697480854423e-05, + "loss": 0.9479, + "step": 11538 + }, + { + "epoch": 0.27, + "grad_norm": 1.7731913947923459, + "learning_rate": 1.708615910396623e-05, + "loss": 0.7378, + "step": 11539 + }, + { + "epoch": 0.27, + "grad_norm": 1.766301409229372, + "learning_rate": 1.708562068582018e-05, + "loss": 0.8791, + "step": 11540 + }, + { + "epoch": 0.27, + "grad_norm": 1.6592940282476747, + "learning_rate": 1.7085082226419402e-05, + "loss": 0.9762, + "step": 11541 + }, + { + "epoch": 0.27, + "grad_norm": 0.8042910529548501, + "learning_rate": 1.7084543725767035e-05, + "loss": 0.7978, + "step": 11542 + }, + { + "epoch": 0.27, + "grad_norm": 1.7088939749786394, + "learning_rate": 1.7084005183866206e-05, + "loss": 0.9735, + "step": 11543 + }, + { + "epoch": 0.27, + "grad_norm": 1.4625315212710355, + "learning_rate": 1.708346660072006e-05, + "loss": 0.7912, + "step": 11544 + }, + { + "epoch": 0.27, + "grad_norm": 1.523003844538643, + "learning_rate": 1.7082927976331726e-05, + "loss": 0.946, + "step": 11545 + }, + { + "epoch": 0.27, + "grad_norm": 1.4970947760992555, + "learning_rate": 1.7082389310704347e-05, + "loss": 0.8077, + "step": 11546 + }, + { + "epoch": 0.27, + "grad_norm": 1.5979042564619261, + "learning_rate": 1.7081850603841053e-05, + "loss": 0.8997, + "step": 11547 + }, + { + "epoch": 0.27, + "grad_norm": 1.9367478723520104, + "learning_rate": 1.708131185574498e-05, + "loss": 0.9274, + "step": 11548 + }, + { + "epoch": 0.27, + "grad_norm": 1.699647751539209, + "learning_rate": 1.7080773066419272e-05, + "loss": 0.8691, + "step": 11549 + }, + { + "epoch": 0.27, + "grad_norm": 1.5322891681695765, + "learning_rate": 1.708023423586706e-05, + "loss": 0.8798, + "step": 11550 + }, + { + "epoch": 0.27, + "grad_norm": 1.6707734581891414, + "learning_rate": 1.7079695364091483e-05, + "loss": 0.9398, + "step": 11551 + }, + { + "epoch": 0.27, + "grad_norm": 1.5298035437633744, + "learning_rate": 1.7079156451095677e-05, + "loss": 0.9224, + "step": 11552 + }, + { + "epoch": 0.27, + "grad_norm": 1.6849300160469252, + "learning_rate": 1.707861749688278e-05, + "loss": 0.8955, + "step": 11553 + }, + { + "epoch": 0.27, + "grad_norm": 2.128649544153777, + "learning_rate": 1.707807850145593e-05, + "loss": 0.888, + "step": 11554 + }, + { + "epoch": 0.27, + "grad_norm": 2.146374697997401, + "learning_rate": 1.707753946481827e-05, + "loss": 0.8764, + "step": 11555 + }, + { + "epoch": 0.27, + "grad_norm": 1.953048645494002, + "learning_rate": 1.7077000386972934e-05, + "loss": 0.9809, + "step": 11556 + }, + { + "epoch": 0.27, + "grad_norm": 1.5838911213394093, + "learning_rate": 1.707646126792306e-05, + "loss": 0.8842, + "step": 11557 + }, + { + "epoch": 0.27, + "grad_norm": 1.8594342395930947, + "learning_rate": 1.7075922107671786e-05, + "loss": 1.0105, + "step": 11558 + }, + { + "epoch": 0.27, + "grad_norm": 1.6713811330210209, + "learning_rate": 1.7075382906222254e-05, + "loss": 0.9447, + "step": 11559 + }, + { + "epoch": 0.27, + "grad_norm": 0.7603390427176494, + "learning_rate": 1.7074843663577607e-05, + "loss": 0.7517, + "step": 11560 + }, + { + "epoch": 0.27, + "grad_norm": 1.573155191949161, + "learning_rate": 1.7074304379740975e-05, + "loss": 0.8753, + "step": 11561 + }, + { + "epoch": 0.27, + "grad_norm": 1.4847781396206463, + "learning_rate": 1.7073765054715506e-05, + "loss": 0.7831, + "step": 11562 + }, + { + "epoch": 0.27, + "grad_norm": 1.616623884212629, + "learning_rate": 1.7073225688504337e-05, + "loss": 0.889, + "step": 11563 + }, + { + "epoch": 0.27, + "grad_norm": 1.5942949287535555, + "learning_rate": 1.707268628111061e-05, + "loss": 0.952, + "step": 11564 + }, + { + "epoch": 0.27, + "grad_norm": 1.9026382411602571, + "learning_rate": 1.7072146832537464e-05, + "loss": 0.8855, + "step": 11565 + }, + { + "epoch": 0.27, + "grad_norm": 1.974565155979667, + "learning_rate": 1.707160734278804e-05, + "loss": 1.0009, + "step": 11566 + }, + { + "epoch": 0.27, + "grad_norm": 1.601178808688326, + "learning_rate": 1.7071067811865477e-05, + "loss": 1.0636, + "step": 11567 + }, + { + "epoch": 0.27, + "grad_norm": 1.5055221186601484, + "learning_rate": 1.707052823977292e-05, + "loss": 0.8135, + "step": 11568 + }, + { + "epoch": 0.27, + "grad_norm": 2.421369984919532, + "learning_rate": 1.7069988626513508e-05, + "loss": 0.9863, + "step": 11569 + }, + { + "epoch": 0.27, + "grad_norm": 2.012314352473784, + "learning_rate": 1.7069448972090387e-05, + "loss": 0.8518, + "step": 11570 + }, + { + "epoch": 0.27, + "grad_norm": 1.3992473291418934, + "learning_rate": 1.7068909276506692e-05, + "loss": 0.9066, + "step": 11571 + }, + { + "epoch": 0.27, + "grad_norm": 2.2054382848717315, + "learning_rate": 1.7068369539765572e-05, + "loss": 0.8454, + "step": 11572 + }, + { + "epoch": 0.27, + "grad_norm": 1.5091226622910294, + "learning_rate": 1.7067829761870166e-05, + "loss": 0.9735, + "step": 11573 + }, + { + "epoch": 0.27, + "grad_norm": 1.8124596527140593, + "learning_rate": 1.7067289942823617e-05, + "loss": 0.9416, + "step": 11574 + }, + { + "epoch": 0.27, + "grad_norm": 0.7978354874505188, + "learning_rate": 1.7066750082629067e-05, + "loss": 0.766, + "step": 11575 + }, + { + "epoch": 0.27, + "grad_norm": 1.8509937077114436, + "learning_rate": 1.7066210181289666e-05, + "loss": 0.9423, + "step": 11576 + }, + { + "epoch": 0.27, + "grad_norm": 1.6216038623765752, + "learning_rate": 1.7065670238808545e-05, + "loss": 1.0593, + "step": 11577 + }, + { + "epoch": 0.27, + "grad_norm": 1.8508823908752063, + "learning_rate": 1.706513025518886e-05, + "loss": 0.8515, + "step": 11578 + }, + { + "epoch": 0.27, + "grad_norm": 1.7483662607870998, + "learning_rate": 1.706459023043375e-05, + "loss": 0.9007, + "step": 11579 + }, + { + "epoch": 0.27, + "grad_norm": 1.548558060168807, + "learning_rate": 1.7064050164546356e-05, + "loss": 0.827, + "step": 11580 + }, + { + "epoch": 0.27, + "grad_norm": 1.6598767811796902, + "learning_rate": 1.7063510057529825e-05, + "loss": 0.9289, + "step": 11581 + }, + { + "epoch": 0.27, + "grad_norm": 1.484989509074972, + "learning_rate": 1.706296990938731e-05, + "loss": 0.9321, + "step": 11582 + }, + { + "epoch": 0.27, + "grad_norm": 1.9358991189692525, + "learning_rate": 1.7062429720121937e-05, + "loss": 0.9187, + "step": 11583 + }, + { + "epoch": 0.27, + "grad_norm": 1.6527288021845372, + "learning_rate": 1.706188948973687e-05, + "loss": 0.9765, + "step": 11584 + }, + { + "epoch": 0.27, + "grad_norm": 0.7614483214765372, + "learning_rate": 1.7061349218235243e-05, + "loss": 0.7976, + "step": 11585 + }, + { + "epoch": 0.27, + "grad_norm": 1.7777884425968749, + "learning_rate": 1.7060808905620207e-05, + "loss": 0.93, + "step": 11586 + }, + { + "epoch": 0.27, + "grad_norm": 2.0426921694586864, + "learning_rate": 1.7060268551894904e-05, + "loss": 0.9511, + "step": 11587 + }, + { + "epoch": 0.27, + "grad_norm": 1.5752192731632482, + "learning_rate": 1.7059728157062485e-05, + "loss": 0.8978, + "step": 11588 + }, + { + "epoch": 0.27, + "grad_norm": 1.691087471147994, + "learning_rate": 1.7059187721126093e-05, + "loss": 0.9421, + "step": 11589 + }, + { + "epoch": 0.27, + "grad_norm": 1.5364401199064779, + "learning_rate": 1.7058647244088873e-05, + "loss": 0.8177, + "step": 11590 + }, + { + "epoch": 0.27, + "grad_norm": 1.62598650744192, + "learning_rate": 1.7058106725953977e-05, + "loss": 0.9865, + "step": 11591 + }, + { + "epoch": 0.27, + "grad_norm": 1.6388637538511839, + "learning_rate": 1.7057566166724545e-05, + "loss": 0.8934, + "step": 11592 + }, + { + "epoch": 0.27, + "grad_norm": 1.4790186925555402, + "learning_rate": 1.7057025566403733e-05, + "loss": 0.8886, + "step": 11593 + }, + { + "epoch": 0.27, + "grad_norm": 0.7864371867429285, + "learning_rate": 1.705648492499468e-05, + "loss": 0.7522, + "step": 11594 + }, + { + "epoch": 0.27, + "grad_norm": 1.6756395468350593, + "learning_rate": 1.7055944242500543e-05, + "loss": 0.9222, + "step": 11595 + }, + { + "epoch": 0.27, + "grad_norm": 1.6058661399672196, + "learning_rate": 1.705540351892446e-05, + "loss": 1.0004, + "step": 11596 + }, + { + "epoch": 0.27, + "grad_norm": 1.5057697924297244, + "learning_rate": 1.7054862754269586e-05, + "loss": 0.8708, + "step": 11597 + }, + { + "epoch": 0.27, + "grad_norm": 3.7497575966759404, + "learning_rate": 1.7054321948539066e-05, + "loss": 1.0279, + "step": 11598 + }, + { + "epoch": 0.27, + "grad_norm": 1.7435701999380724, + "learning_rate": 1.705378110173605e-05, + "loss": 0.8617, + "step": 11599 + }, + { + "epoch": 0.27, + "grad_norm": 1.5958955084779445, + "learning_rate": 1.705324021386369e-05, + "loss": 0.7847, + "step": 11600 + }, + { + "epoch": 0.27, + "grad_norm": 1.6314445686684005, + "learning_rate": 1.705269928492513e-05, + "loss": 1.05, + "step": 11601 + }, + { + "epoch": 0.27, + "grad_norm": 1.454813979542336, + "learning_rate": 1.7052158314923524e-05, + "loss": 0.8645, + "step": 11602 + }, + { + "epoch": 0.27, + "grad_norm": 2.118807077224749, + "learning_rate": 1.705161730386202e-05, + "loss": 0.8619, + "step": 11603 + }, + { + "epoch": 0.27, + "grad_norm": 0.8112111372932981, + "learning_rate": 1.7051076251743763e-05, + "loss": 0.7783, + "step": 11604 + }, + { + "epoch": 0.27, + "grad_norm": 2.008347335416011, + "learning_rate": 1.705053515857191e-05, + "loss": 0.992, + "step": 11605 + }, + { + "epoch": 0.27, + "grad_norm": 1.612084755242021, + "learning_rate": 1.7049994024349613e-05, + "loss": 1.029, + "step": 11606 + }, + { + "epoch": 0.27, + "grad_norm": 1.850902896790132, + "learning_rate": 1.7049452849080014e-05, + "loss": 0.9849, + "step": 11607 + }, + { + "epoch": 0.27, + "grad_norm": 2.03705725534324, + "learning_rate": 1.704891163276627e-05, + "loss": 0.8796, + "step": 11608 + }, + { + "epoch": 0.27, + "grad_norm": 1.6926023873390157, + "learning_rate": 1.7048370375411533e-05, + "loss": 0.9729, + "step": 11609 + }, + { + "epoch": 0.27, + "grad_norm": 1.8088223847589475, + "learning_rate": 1.704782907701895e-05, + "loss": 0.8285, + "step": 11610 + }, + { + "epoch": 0.27, + "grad_norm": 1.8984387696950202, + "learning_rate": 1.7047287737591672e-05, + "loss": 0.8345, + "step": 11611 + }, + { + "epoch": 0.27, + "grad_norm": 1.5371919271475185, + "learning_rate": 1.7046746357132858e-05, + "loss": 0.912, + "step": 11612 + }, + { + "epoch": 0.27, + "grad_norm": 1.6970608140325327, + "learning_rate": 1.7046204935645655e-05, + "loss": 0.9539, + "step": 11613 + }, + { + "epoch": 0.27, + "grad_norm": 0.7810545532308008, + "learning_rate": 1.7045663473133215e-05, + "loss": 0.7696, + "step": 11614 + }, + { + "epoch": 0.27, + "grad_norm": 1.4386063793825112, + "learning_rate": 1.7045121969598694e-05, + "loss": 0.8095, + "step": 11615 + }, + { + "epoch": 0.27, + "grad_norm": 1.5024166576436453, + "learning_rate": 1.7044580425045244e-05, + "loss": 0.9481, + "step": 11616 + }, + { + "epoch": 0.27, + "grad_norm": 1.8723801597469543, + "learning_rate": 1.7044038839476013e-05, + "loss": 0.8191, + "step": 11617 + }, + { + "epoch": 0.27, + "grad_norm": 1.436289927272891, + "learning_rate": 1.7043497212894154e-05, + "loss": 0.873, + "step": 11618 + }, + { + "epoch": 0.27, + "grad_norm": 1.5066327440816907, + "learning_rate": 1.704295554530283e-05, + "loss": 0.9547, + "step": 11619 + }, + { + "epoch": 0.27, + "grad_norm": 2.5755446524003984, + "learning_rate": 1.7042413836705187e-05, + "loss": 0.9543, + "step": 11620 + }, + { + "epoch": 0.27, + "grad_norm": 2.167476553195292, + "learning_rate": 1.7041872087104383e-05, + "loss": 0.9843, + "step": 11621 + }, + { + "epoch": 0.27, + "grad_norm": 1.7626272042422932, + "learning_rate": 1.7041330296503566e-05, + "loss": 0.8155, + "step": 11622 + }, + { + "epoch": 0.27, + "grad_norm": 1.5453148478757988, + "learning_rate": 1.70407884649059e-05, + "loss": 0.8031, + "step": 11623 + }, + { + "epoch": 0.27, + "grad_norm": 1.6544119421279364, + "learning_rate": 1.704024659231453e-05, + "loss": 0.8627, + "step": 11624 + }, + { + "epoch": 0.27, + "grad_norm": 5.569068614965317, + "learning_rate": 1.703970467873262e-05, + "loss": 0.9086, + "step": 11625 + }, + { + "epoch": 0.27, + "grad_norm": 0.79597187021612, + "learning_rate": 1.7039162724163317e-05, + "loss": 0.7799, + "step": 11626 + }, + { + "epoch": 0.27, + "grad_norm": 1.5951947031276372, + "learning_rate": 1.703862072860978e-05, + "loss": 0.9288, + "step": 11627 + }, + { + "epoch": 0.27, + "grad_norm": 1.545825079649154, + "learning_rate": 1.7038078692075166e-05, + "loss": 0.8081, + "step": 11628 + }, + { + "epoch": 0.27, + "grad_norm": 1.6224621538511783, + "learning_rate": 1.703753661456263e-05, + "loss": 1.0044, + "step": 11629 + }, + { + "epoch": 0.27, + "grad_norm": 1.8634548446274124, + "learning_rate": 1.703699449607533e-05, + "loss": 0.8689, + "step": 11630 + }, + { + "epoch": 0.27, + "grad_norm": 2.4885075930459806, + "learning_rate": 1.7036452336616413e-05, + "loss": 0.9165, + "step": 11631 + }, + { + "epoch": 0.27, + "grad_norm": 0.8295654274127038, + "learning_rate": 1.703591013618905e-05, + "loss": 0.7595, + "step": 11632 + }, + { + "epoch": 0.27, + "grad_norm": 1.7062926184849219, + "learning_rate": 1.703536789479639e-05, + "loss": 1.0101, + "step": 11633 + }, + { + "epoch": 0.27, + "grad_norm": 1.6344655578890566, + "learning_rate": 1.7034825612441585e-05, + "loss": 0.9645, + "step": 11634 + }, + { + "epoch": 0.27, + "grad_norm": 1.7290127501528179, + "learning_rate": 1.7034283289127806e-05, + "loss": 0.9603, + "step": 11635 + }, + { + "epoch": 0.27, + "grad_norm": 2.126329626307387, + "learning_rate": 1.7033740924858194e-05, + "loss": 0.9481, + "step": 11636 + }, + { + "epoch": 0.27, + "grad_norm": 1.8505908038432672, + "learning_rate": 1.7033198519635922e-05, + "loss": 0.868, + "step": 11637 + }, + { + "epoch": 0.27, + "grad_norm": 1.8245951084774321, + "learning_rate": 1.7032656073464137e-05, + "loss": 0.8579, + "step": 11638 + }, + { + "epoch": 0.27, + "grad_norm": 1.7419980310716987, + "learning_rate": 1.7032113586346003e-05, + "loss": 0.8585, + "step": 11639 + }, + { + "epoch": 0.27, + "grad_norm": 0.733716841892521, + "learning_rate": 1.7031571058284678e-05, + "loss": 0.6445, + "step": 11640 + }, + { + "epoch": 0.27, + "grad_norm": 1.8017692179015206, + "learning_rate": 1.7031028489283324e-05, + "loss": 0.7345, + "step": 11641 + }, + { + "epoch": 0.27, + "grad_norm": 1.533057798875491, + "learning_rate": 1.703048587934509e-05, + "loss": 0.855, + "step": 11642 + }, + { + "epoch": 0.27, + "grad_norm": 3.612249838370602, + "learning_rate": 1.7029943228473147e-05, + "loss": 0.957, + "step": 11643 + }, + { + "epoch": 0.27, + "grad_norm": 1.8104479545960976, + "learning_rate": 1.7029400536670646e-05, + "loss": 0.8913, + "step": 11644 + }, + { + "epoch": 0.27, + "grad_norm": 1.5632728075727855, + "learning_rate": 1.702885780394075e-05, + "loss": 0.9213, + "step": 11645 + }, + { + "epoch": 0.27, + "grad_norm": 1.5641747713068592, + "learning_rate": 1.7028315030286617e-05, + "loss": 0.8896, + "step": 11646 + }, + { + "epoch": 0.27, + "grad_norm": 1.6485341945066552, + "learning_rate": 1.7027772215711414e-05, + "loss": 0.7348, + "step": 11647 + }, + { + "epoch": 0.27, + "grad_norm": 1.450582131721184, + "learning_rate": 1.702722936021829e-05, + "loss": 0.8141, + "step": 11648 + }, + { + "epoch": 0.27, + "grad_norm": 1.9122798987507357, + "learning_rate": 1.7026686463810413e-05, + "loss": 0.9515, + "step": 11649 + }, + { + "epoch": 0.27, + "grad_norm": 1.754413946032629, + "learning_rate": 1.7026143526490947e-05, + "loss": 0.8256, + "step": 11650 + }, + { + "epoch": 0.27, + "grad_norm": 0.7991336139684752, + "learning_rate": 1.7025600548263043e-05, + "loss": 0.6946, + "step": 11651 + }, + { + "epoch": 0.27, + "grad_norm": 1.7916969164218977, + "learning_rate": 1.702505752912987e-05, + "loss": 0.8766, + "step": 11652 + }, + { + "epoch": 0.27, + "grad_norm": 1.7513610077689972, + "learning_rate": 1.7024514469094592e-05, + "loss": 0.7513, + "step": 11653 + }, + { + "epoch": 0.27, + "grad_norm": 1.8375046562895636, + "learning_rate": 1.7023971368160362e-05, + "loss": 0.8765, + "step": 11654 + }, + { + "epoch": 0.27, + "grad_norm": 1.7034972679033236, + "learning_rate": 1.7023428226330348e-05, + "loss": 0.9341, + "step": 11655 + }, + { + "epoch": 0.27, + "grad_norm": 1.6906531525459696, + "learning_rate": 1.7022885043607714e-05, + "loss": 0.902, + "step": 11656 + }, + { + "epoch": 0.27, + "grad_norm": 1.3890252709688073, + "learning_rate": 1.7022341819995622e-05, + "loss": 0.839, + "step": 11657 + }, + { + "epoch": 0.27, + "grad_norm": 1.6624740166176695, + "learning_rate": 1.7021798555497225e-05, + "loss": 0.8398, + "step": 11658 + }, + { + "epoch": 0.27, + "grad_norm": 1.855462958772305, + "learning_rate": 1.70212552501157e-05, + "loss": 0.9177, + "step": 11659 + }, + { + "epoch": 0.27, + "grad_norm": 1.884215360217214, + "learning_rate": 1.7020711903854202e-05, + "loss": 0.9526, + "step": 11660 + }, + { + "epoch": 0.27, + "grad_norm": 0.763553426430557, + "learning_rate": 1.7020168516715894e-05, + "loss": 0.7892, + "step": 11661 + }, + { + "epoch": 0.27, + "grad_norm": 0.8993698921408677, + "learning_rate": 1.7019625088703944e-05, + "loss": 0.7793, + "step": 11662 + }, + { + "epoch": 0.27, + "grad_norm": 0.8718450311080719, + "learning_rate": 1.701908161982152e-05, + "loss": 0.7619, + "step": 11663 + }, + { + "epoch": 0.27, + "grad_norm": 1.7609129654678044, + "learning_rate": 1.7018538110071773e-05, + "loss": 0.9008, + "step": 11664 + }, + { + "epoch": 0.27, + "grad_norm": 1.6224190829646066, + "learning_rate": 1.7017994559457878e-05, + "loss": 0.8726, + "step": 11665 + }, + { + "epoch": 0.27, + "grad_norm": 0.7876525201744174, + "learning_rate": 1.7017450967982995e-05, + "loss": 0.736, + "step": 11666 + }, + { + "epoch": 0.27, + "grad_norm": 2.049807599464536, + "learning_rate": 1.7016907335650292e-05, + "loss": 0.8136, + "step": 11667 + }, + { + "epoch": 0.27, + "grad_norm": 0.7304853624941666, + "learning_rate": 1.701636366246293e-05, + "loss": 0.7776, + "step": 11668 + }, + { + "epoch": 0.27, + "grad_norm": 0.7446483086575281, + "learning_rate": 1.7015819948424085e-05, + "loss": 0.781, + "step": 11669 + }, + { + "epoch": 0.27, + "grad_norm": 1.4324661856997896, + "learning_rate": 1.7015276193536912e-05, + "loss": 0.8586, + "step": 11670 + }, + { + "epoch": 0.27, + "grad_norm": 1.6342608289593683, + "learning_rate": 1.7014732397804578e-05, + "loss": 0.957, + "step": 11671 + }, + { + "epoch": 0.27, + "grad_norm": 1.8038382791835952, + "learning_rate": 1.7014188561230252e-05, + "loss": 0.8228, + "step": 11672 + }, + { + "epoch": 0.28, + "grad_norm": 1.631376285460188, + "learning_rate": 1.7013644683817098e-05, + "loss": 0.8491, + "step": 11673 + }, + { + "epoch": 0.28, + "grad_norm": 2.2892777627329988, + "learning_rate": 1.7013100765568284e-05, + "loss": 0.8822, + "step": 11674 + }, + { + "epoch": 0.28, + "grad_norm": 1.7797179963283083, + "learning_rate": 1.701255680648698e-05, + "loss": 0.9279, + "step": 11675 + }, + { + "epoch": 0.28, + "grad_norm": 1.5899804710255008, + "learning_rate": 1.701201280657635e-05, + "loss": 0.8014, + "step": 11676 + }, + { + "epoch": 0.28, + "grad_norm": 1.515181330104914, + "learning_rate": 1.7011468765839558e-05, + "loss": 0.8338, + "step": 11677 + }, + { + "epoch": 0.28, + "grad_norm": 1.8769210734605402, + "learning_rate": 1.701092468427978e-05, + "loss": 0.8731, + "step": 11678 + }, + { + "epoch": 0.28, + "grad_norm": 1.5210546233900208, + "learning_rate": 1.7010380561900174e-05, + "loss": 0.8598, + "step": 11679 + }, + { + "epoch": 0.28, + "grad_norm": 1.8414562980301477, + "learning_rate": 1.7009836398703913e-05, + "loss": 0.9638, + "step": 11680 + }, + { + "epoch": 0.28, + "grad_norm": 1.8092985620626014, + "learning_rate": 1.700929219469417e-05, + "loss": 0.9442, + "step": 11681 + }, + { + "epoch": 0.28, + "grad_norm": 1.4559006462583273, + "learning_rate": 1.7008747949874105e-05, + "loss": 0.8112, + "step": 11682 + }, + { + "epoch": 0.28, + "grad_norm": 1.782665200258611, + "learning_rate": 1.7008203664246892e-05, + "loss": 0.8602, + "step": 11683 + }, + { + "epoch": 0.28, + "grad_norm": 1.6595352775792258, + "learning_rate": 1.70076593378157e-05, + "loss": 0.9313, + "step": 11684 + }, + { + "epoch": 0.28, + "grad_norm": 1.7640471853832336, + "learning_rate": 1.7007114970583694e-05, + "loss": 0.9202, + "step": 11685 + }, + { + "epoch": 0.28, + "grad_norm": 0.7646554565236945, + "learning_rate": 1.7006570562554047e-05, + "loss": 0.7232, + "step": 11686 + }, + { + "epoch": 0.28, + "grad_norm": 1.418957675015573, + "learning_rate": 1.700602611372993e-05, + "loss": 0.7738, + "step": 11687 + }, + { + "epoch": 0.28, + "grad_norm": 1.696889147488339, + "learning_rate": 1.7005481624114506e-05, + "loss": 0.9439, + "step": 11688 + }, + { + "epoch": 0.28, + "grad_norm": 2.1784936955777208, + "learning_rate": 1.7004937093710953e-05, + "loss": 0.913, + "step": 11689 + }, + { + "epoch": 0.28, + "grad_norm": 1.509921711491408, + "learning_rate": 1.700439252252244e-05, + "loss": 1.0142, + "step": 11690 + }, + { + "epoch": 0.28, + "grad_norm": 1.497683348596163, + "learning_rate": 1.7003847910552134e-05, + "loss": 1.0168, + "step": 11691 + }, + { + "epoch": 0.28, + "grad_norm": 1.9003713408852407, + "learning_rate": 1.7003303257803207e-05, + "loss": 1.0131, + "step": 11692 + }, + { + "epoch": 0.28, + "grad_norm": 1.9309718406947407, + "learning_rate": 1.7002758564278832e-05, + "loss": 0.9427, + "step": 11693 + }, + { + "epoch": 0.28, + "grad_norm": 1.6618067608657803, + "learning_rate": 1.700221382998218e-05, + "loss": 0.9894, + "step": 11694 + }, + { + "epoch": 0.28, + "grad_norm": 0.7333815703423898, + "learning_rate": 1.7001669054916424e-05, + "loss": 0.72, + "step": 11695 + }, + { + "epoch": 0.28, + "grad_norm": 0.7921731973844167, + "learning_rate": 1.700112423908473e-05, + "loss": 0.7292, + "step": 11696 + }, + { + "epoch": 0.28, + "grad_norm": 0.7949189711171787, + "learning_rate": 1.700057938249028e-05, + "loss": 0.7218, + "step": 11697 + }, + { + "epoch": 0.28, + "grad_norm": 1.637594030094039, + "learning_rate": 1.700003448513624e-05, + "loss": 0.9529, + "step": 11698 + }, + { + "epoch": 0.28, + "grad_norm": 1.6146381344679348, + "learning_rate": 1.6999489547025782e-05, + "loss": 0.8221, + "step": 11699 + }, + { + "epoch": 0.28, + "grad_norm": 2.1265070175117717, + "learning_rate": 1.6998944568162075e-05, + "loss": 0.7473, + "step": 11700 + }, + { + "epoch": 0.28, + "grad_norm": 2.4770120007052623, + "learning_rate": 1.69983995485483e-05, + "loss": 0.9365, + "step": 11701 + }, + { + "epoch": 0.28, + "grad_norm": 1.5958501398323597, + "learning_rate": 1.6997854488187632e-05, + "loss": 0.9591, + "step": 11702 + }, + { + "epoch": 0.28, + "grad_norm": 1.7792652323236597, + "learning_rate": 1.699730938708323e-05, + "loss": 0.8799, + "step": 11703 + }, + { + "epoch": 0.28, + "grad_norm": 0.7738219337217808, + "learning_rate": 1.6996764245238282e-05, + "loss": 0.7454, + "step": 11704 + }, + { + "epoch": 0.28, + "grad_norm": 1.8379439901132917, + "learning_rate": 1.6996219062655963e-05, + "loss": 0.995, + "step": 11705 + }, + { + "epoch": 0.28, + "grad_norm": 1.6327014602930239, + "learning_rate": 1.6995673839339435e-05, + "loss": 1.007, + "step": 11706 + }, + { + "epoch": 0.28, + "grad_norm": 1.4756574415585098, + "learning_rate": 1.6995128575291882e-05, + "loss": 0.8365, + "step": 11707 + }, + { + "epoch": 0.28, + "grad_norm": 1.4862523880654746, + "learning_rate": 1.699458327051647e-05, + "loss": 0.9485, + "step": 11708 + }, + { + "epoch": 0.28, + "grad_norm": 1.6226519881145096, + "learning_rate": 1.6994037925016386e-05, + "loss": 0.918, + "step": 11709 + }, + { + "epoch": 0.28, + "grad_norm": 1.6780875514822837, + "learning_rate": 1.69934925387948e-05, + "loss": 0.8894, + "step": 11710 + }, + { + "epoch": 0.28, + "grad_norm": 2.1753244508259044, + "learning_rate": 1.699294711185488e-05, + "loss": 0.9655, + "step": 11711 + }, + { + "epoch": 0.28, + "grad_norm": 1.825145436906505, + "learning_rate": 1.6992401644199815e-05, + "loss": 0.8742, + "step": 11712 + }, + { + "epoch": 0.28, + "grad_norm": 1.9445042381057092, + "learning_rate": 1.6991856135832767e-05, + "loss": 0.9015, + "step": 11713 + }, + { + "epoch": 0.28, + "grad_norm": 1.7924251854418753, + "learning_rate": 1.6991310586756923e-05, + "loss": 0.9875, + "step": 11714 + }, + { + "epoch": 0.28, + "grad_norm": 1.6227628063580077, + "learning_rate": 1.6990764996975456e-05, + "loss": 0.8277, + "step": 11715 + }, + { + "epoch": 0.28, + "grad_norm": 1.7806791769394419, + "learning_rate": 1.699021936649154e-05, + "loss": 0.9141, + "step": 11716 + }, + { + "epoch": 0.28, + "grad_norm": 1.5968452456002689, + "learning_rate": 1.6989673695308354e-05, + "loss": 0.7863, + "step": 11717 + }, + { + "epoch": 0.28, + "grad_norm": 1.5840141115406237, + "learning_rate": 1.6989127983429077e-05, + "loss": 0.9857, + "step": 11718 + }, + { + "epoch": 0.28, + "grad_norm": 1.5678172599005444, + "learning_rate": 1.698858223085688e-05, + "loss": 0.8871, + "step": 11719 + }, + { + "epoch": 0.28, + "grad_norm": 0.8526576316873573, + "learning_rate": 1.698803643759495e-05, + "loss": 0.7137, + "step": 11720 + }, + { + "epoch": 0.28, + "grad_norm": 2.637294748647991, + "learning_rate": 1.698749060364646e-05, + "loss": 0.8451, + "step": 11721 + }, + { + "epoch": 0.28, + "grad_norm": 0.731866886591587, + "learning_rate": 1.698694472901458e-05, + "loss": 0.7473, + "step": 11722 + }, + { + "epoch": 0.28, + "grad_norm": 1.3983868999648796, + "learning_rate": 1.69863988137025e-05, + "loss": 0.8635, + "step": 11723 + }, + { + "epoch": 0.28, + "grad_norm": 2.4558722189833153, + "learning_rate": 1.6985852857713397e-05, + "loss": 0.8253, + "step": 11724 + }, + { + "epoch": 0.28, + "grad_norm": 1.7576222157801167, + "learning_rate": 1.6985306861050443e-05, + "loss": 1.006, + "step": 11725 + }, + { + "epoch": 0.28, + "grad_norm": 1.9660779598774714, + "learning_rate": 1.6984760823716818e-05, + "loss": 0.9509, + "step": 11726 + }, + { + "epoch": 0.28, + "grad_norm": 2.7970637156327673, + "learning_rate": 1.6984214745715712e-05, + "loss": 0.8198, + "step": 11727 + }, + { + "epoch": 0.28, + "grad_norm": 1.7881548760555834, + "learning_rate": 1.6983668627050292e-05, + "loss": 0.9761, + "step": 11728 + }, + { + "epoch": 0.28, + "grad_norm": 1.6867551054122765, + "learning_rate": 1.6983122467723743e-05, + "loss": 0.9488, + "step": 11729 + }, + { + "epoch": 0.28, + "grad_norm": 1.7191606018790266, + "learning_rate": 1.6982576267739247e-05, + "loss": 0.927, + "step": 11730 + }, + { + "epoch": 0.28, + "grad_norm": 1.7875958019763798, + "learning_rate": 1.6982030027099975e-05, + "loss": 0.795, + "step": 11731 + }, + { + "epoch": 0.28, + "grad_norm": 1.7296718736665442, + "learning_rate": 1.698148374580912e-05, + "loss": 0.8928, + "step": 11732 + }, + { + "epoch": 0.28, + "grad_norm": 1.5375130016389997, + "learning_rate": 1.6980937423869852e-05, + "loss": 0.8215, + "step": 11733 + }, + { + "epoch": 0.28, + "grad_norm": 2.1393124914817405, + "learning_rate": 1.698039106128536e-05, + "loss": 0.8169, + "step": 11734 + }, + { + "epoch": 0.28, + "grad_norm": 1.9380797319599765, + "learning_rate": 1.697984465805882e-05, + "loss": 0.8854, + "step": 11735 + }, + { + "epoch": 0.28, + "grad_norm": 1.8388505206932955, + "learning_rate": 1.6979298214193412e-05, + "loss": 0.8836, + "step": 11736 + }, + { + "epoch": 0.28, + "grad_norm": 1.6811760639807418, + "learning_rate": 1.697875172969232e-05, + "loss": 0.8724, + "step": 11737 + }, + { + "epoch": 0.28, + "grad_norm": 1.9660451152787946, + "learning_rate": 1.6978205204558728e-05, + "loss": 0.9012, + "step": 11738 + }, + { + "epoch": 0.28, + "grad_norm": 1.8920793218781566, + "learning_rate": 1.6977658638795816e-05, + "loss": 0.9624, + "step": 11739 + }, + { + "epoch": 0.28, + "grad_norm": 2.0842437103484395, + "learning_rate": 1.697711203240677e-05, + "loss": 0.9942, + "step": 11740 + }, + { + "epoch": 0.28, + "grad_norm": 2.3570114695930786, + "learning_rate": 1.6976565385394763e-05, + "loss": 0.85, + "step": 11741 + }, + { + "epoch": 0.28, + "grad_norm": 1.920789693201905, + "learning_rate": 1.6976018697762985e-05, + "loss": 0.9388, + "step": 11742 + }, + { + "epoch": 0.28, + "grad_norm": 1.5316308313593003, + "learning_rate": 1.6975471969514617e-05, + "loss": 0.7974, + "step": 11743 + }, + { + "epoch": 0.28, + "grad_norm": 1.718827789379138, + "learning_rate": 1.6974925200652846e-05, + "loss": 0.7341, + "step": 11744 + }, + { + "epoch": 0.28, + "grad_norm": 1.4977306719569545, + "learning_rate": 1.697437839118085e-05, + "loss": 0.9405, + "step": 11745 + }, + { + "epoch": 0.28, + "grad_norm": 0.8159744827683976, + "learning_rate": 1.6973831541101816e-05, + "loss": 0.7433, + "step": 11746 + }, + { + "epoch": 0.28, + "grad_norm": 2.0088752446501315, + "learning_rate": 1.6973284650418923e-05, + "loss": 0.9953, + "step": 11747 + }, + { + "epoch": 0.28, + "grad_norm": 1.5119425563632165, + "learning_rate": 1.6972737719135365e-05, + "loss": 0.85, + "step": 11748 + }, + { + "epoch": 0.28, + "grad_norm": 1.5715135571186816, + "learning_rate": 1.697219074725432e-05, + "loss": 0.8665, + "step": 11749 + }, + { + "epoch": 0.28, + "grad_norm": 2.4815236269118013, + "learning_rate": 1.6971643734778967e-05, + "loss": 0.9377, + "step": 11750 + }, + { + "epoch": 0.28, + "grad_norm": 1.5718257145913428, + "learning_rate": 1.6971096681712502e-05, + "loss": 0.9077, + "step": 11751 + }, + { + "epoch": 0.28, + "grad_norm": 1.663492417437709, + "learning_rate": 1.6970549588058106e-05, + "loss": 0.8596, + "step": 11752 + }, + { + "epoch": 0.28, + "grad_norm": 1.894969689316515, + "learning_rate": 1.6970002453818963e-05, + "loss": 0.8019, + "step": 11753 + }, + { + "epoch": 0.28, + "grad_norm": 2.015609256832839, + "learning_rate": 1.6969455278998254e-05, + "loss": 0.952, + "step": 11754 + }, + { + "epoch": 0.28, + "grad_norm": 1.859769992665121, + "learning_rate": 1.6968908063599175e-05, + "loss": 0.8647, + "step": 11755 + }, + { + "epoch": 0.28, + "grad_norm": 2.1158886055662505, + "learning_rate": 1.6968360807624904e-05, + "loss": 0.9043, + "step": 11756 + }, + { + "epoch": 0.28, + "grad_norm": 1.5691938144525777, + "learning_rate": 1.6967813511078633e-05, + "loss": 0.8319, + "step": 11757 + }, + { + "epoch": 0.28, + "grad_norm": 1.5998307713386943, + "learning_rate": 1.6967266173963545e-05, + "loss": 0.878, + "step": 11758 + }, + { + "epoch": 0.28, + "grad_norm": 1.8762496109300948, + "learning_rate": 1.6966718796282827e-05, + "loss": 0.9348, + "step": 11759 + }, + { + "epoch": 0.28, + "grad_norm": 1.657285825579996, + "learning_rate": 1.6966171378039665e-05, + "loss": 0.9445, + "step": 11760 + }, + { + "epoch": 0.28, + "grad_norm": 1.6256698285964193, + "learning_rate": 1.696562391923725e-05, + "loss": 0.7911, + "step": 11761 + }, + { + "epoch": 0.28, + "grad_norm": 1.6594069705795516, + "learning_rate": 1.6965076419878764e-05, + "loss": 0.7245, + "step": 11762 + }, + { + "epoch": 0.28, + "grad_norm": 1.6452219910103254, + "learning_rate": 1.69645288799674e-05, + "loss": 0.7426, + "step": 11763 + }, + { + "epoch": 0.28, + "grad_norm": 1.4482176665122757, + "learning_rate": 1.6963981299506348e-05, + "loss": 1.0772, + "step": 11764 + }, + { + "epoch": 0.28, + "grad_norm": 1.6794013118831608, + "learning_rate": 1.6963433678498786e-05, + "loss": 0.9452, + "step": 11765 + }, + { + "epoch": 0.28, + "grad_norm": 1.5959217811670694, + "learning_rate": 1.696288601694791e-05, + "loss": 0.8746, + "step": 11766 + }, + { + "epoch": 0.28, + "grad_norm": 0.7520254331043675, + "learning_rate": 1.696233831485691e-05, + "loss": 0.7663, + "step": 11767 + }, + { + "epoch": 0.28, + "grad_norm": 0.7649138751787847, + "learning_rate": 1.6961790572228967e-05, + "loss": 0.7404, + "step": 11768 + }, + { + "epoch": 0.28, + "grad_norm": 2.361475186352525, + "learning_rate": 1.6961242789067282e-05, + "loss": 0.8849, + "step": 11769 + }, + { + "epoch": 0.28, + "grad_norm": 0.7978488312784521, + "learning_rate": 1.6960694965375033e-05, + "loss": 0.7454, + "step": 11770 + }, + { + "epoch": 0.28, + "grad_norm": 1.5230815292751594, + "learning_rate": 1.6960147101155415e-05, + "loss": 0.8911, + "step": 11771 + }, + { + "epoch": 0.28, + "grad_norm": 1.5663193372721818, + "learning_rate": 1.695959919641162e-05, + "loss": 0.8711, + "step": 11772 + }, + { + "epoch": 0.28, + "grad_norm": 0.7516059369679647, + "learning_rate": 1.695905125114683e-05, + "loss": 0.7401, + "step": 11773 + }, + { + "epoch": 0.28, + "grad_norm": 2.203737670691406, + "learning_rate": 1.6958503265364243e-05, + "loss": 0.9517, + "step": 11774 + }, + { + "epoch": 0.28, + "grad_norm": 1.8725568362902933, + "learning_rate": 1.6957955239067046e-05, + "loss": 0.8256, + "step": 11775 + }, + { + "epoch": 0.28, + "grad_norm": 2.331811401320834, + "learning_rate": 1.695740717225843e-05, + "loss": 0.9631, + "step": 11776 + }, + { + "epoch": 0.28, + "grad_norm": 1.8352988827339414, + "learning_rate": 1.695685906494159e-05, + "loss": 0.8665, + "step": 11777 + }, + { + "epoch": 0.28, + "grad_norm": 1.92067499120524, + "learning_rate": 1.6956310917119712e-05, + "loss": 0.8564, + "step": 11778 + }, + { + "epoch": 0.28, + "grad_norm": 1.5772629306927997, + "learning_rate": 1.695576272879599e-05, + "loss": 0.8836, + "step": 11779 + }, + { + "epoch": 0.28, + "grad_norm": 1.8863951795883753, + "learning_rate": 1.6955214499973616e-05, + "loss": 0.9443, + "step": 11780 + }, + { + "epoch": 0.28, + "grad_norm": 1.7923073591826852, + "learning_rate": 1.695466623065578e-05, + "loss": 0.864, + "step": 11781 + }, + { + "epoch": 0.28, + "grad_norm": 1.5276146631926337, + "learning_rate": 1.6954117920845672e-05, + "loss": 1.0153, + "step": 11782 + }, + { + "epoch": 0.28, + "grad_norm": 1.9553100855501913, + "learning_rate": 1.6953569570546494e-05, + "loss": 0.9385, + "step": 11783 + }, + { + "epoch": 0.28, + "grad_norm": 1.992373326694736, + "learning_rate": 1.695302117976143e-05, + "loss": 0.738, + "step": 11784 + }, + { + "epoch": 0.28, + "grad_norm": 1.662204892113177, + "learning_rate": 1.6952472748493675e-05, + "loss": 0.8323, + "step": 11785 + }, + { + "epoch": 0.28, + "grad_norm": 1.7729955686266823, + "learning_rate": 1.6951924276746425e-05, + "loss": 0.9231, + "step": 11786 + }, + { + "epoch": 0.28, + "grad_norm": 1.6278784895588203, + "learning_rate": 1.6951375764522868e-05, + "loss": 0.7964, + "step": 11787 + }, + { + "epoch": 0.28, + "grad_norm": 1.8100300158386906, + "learning_rate": 1.69508272118262e-05, + "loss": 0.8086, + "step": 11788 + }, + { + "epoch": 0.28, + "grad_norm": 1.7209612095208804, + "learning_rate": 1.695027861865962e-05, + "loss": 0.9272, + "step": 11789 + }, + { + "epoch": 0.28, + "grad_norm": 1.6716960909854597, + "learning_rate": 1.6949729985026314e-05, + "loss": 0.9514, + "step": 11790 + }, + { + "epoch": 0.28, + "grad_norm": 0.8073449650469792, + "learning_rate": 1.6949181310929476e-05, + "loss": 0.7331, + "step": 11791 + }, + { + "epoch": 0.28, + "grad_norm": 1.5737813289987297, + "learning_rate": 1.694863259637231e-05, + "loss": 0.7299, + "step": 11792 + }, + { + "epoch": 0.28, + "grad_norm": 1.7227959523345764, + "learning_rate": 1.6948083841358004e-05, + "loss": 0.8751, + "step": 11793 + }, + { + "epoch": 0.28, + "grad_norm": 0.778925222319704, + "learning_rate": 1.6947535045889754e-05, + "loss": 0.7808, + "step": 11794 + }, + { + "epoch": 0.28, + "grad_norm": 1.5387906553065946, + "learning_rate": 1.6946986209970754e-05, + "loss": 0.9634, + "step": 11795 + }, + { + "epoch": 0.28, + "grad_norm": 2.42739676335661, + "learning_rate": 1.6946437333604203e-05, + "loss": 0.8505, + "step": 11796 + }, + { + "epoch": 0.28, + "grad_norm": 1.5377896982589299, + "learning_rate": 1.6945888416793296e-05, + "loss": 0.7545, + "step": 11797 + }, + { + "epoch": 0.28, + "grad_norm": 1.937208008100082, + "learning_rate": 1.694533945954122e-05, + "loss": 0.8662, + "step": 11798 + }, + { + "epoch": 0.28, + "grad_norm": 1.5969193434911093, + "learning_rate": 1.6944790461851186e-05, + "loss": 0.8208, + "step": 11799 + }, + { + "epoch": 0.28, + "grad_norm": 1.557672956045301, + "learning_rate": 1.694424142372638e-05, + "loss": 0.8947, + "step": 11800 + }, + { + "epoch": 0.28, + "grad_norm": 0.8033866422701393, + "learning_rate": 1.6943692345170005e-05, + "loss": 0.8249, + "step": 11801 + }, + { + "epoch": 0.28, + "grad_norm": 0.8263358348071398, + "learning_rate": 1.6943143226185252e-05, + "loss": 0.786, + "step": 11802 + }, + { + "epoch": 0.28, + "grad_norm": 1.8953041607863408, + "learning_rate": 1.694259406677532e-05, + "loss": 0.9065, + "step": 11803 + }, + { + "epoch": 0.28, + "grad_norm": 2.3051411437092924, + "learning_rate": 1.6942044866943414e-05, + "loss": 0.8131, + "step": 11804 + }, + { + "epoch": 0.28, + "grad_norm": 1.620608626553952, + "learning_rate": 1.6941495626692718e-05, + "loss": 0.9349, + "step": 11805 + }, + { + "epoch": 0.28, + "grad_norm": 1.9348846706049638, + "learning_rate": 1.694094634602644e-05, + "loss": 0.8505, + "step": 11806 + }, + { + "epoch": 0.28, + "grad_norm": 1.5408631131524857, + "learning_rate": 1.6940397024947773e-05, + "loss": 0.9978, + "step": 11807 + }, + { + "epoch": 0.28, + "grad_norm": 1.784639088443313, + "learning_rate": 1.693984766345992e-05, + "loss": 0.9993, + "step": 11808 + }, + { + "epoch": 0.28, + "grad_norm": 1.7036370473130855, + "learning_rate": 1.6939298261566075e-05, + "loss": 0.8568, + "step": 11809 + }, + { + "epoch": 0.28, + "grad_norm": 2.126256863324569, + "learning_rate": 1.6938748819269436e-05, + "loss": 0.8982, + "step": 11810 + }, + { + "epoch": 0.28, + "grad_norm": 2.4191214542834882, + "learning_rate": 1.6938199336573208e-05, + "loss": 0.864, + "step": 11811 + }, + { + "epoch": 0.28, + "grad_norm": 1.4879360113779163, + "learning_rate": 1.6937649813480586e-05, + "loss": 1.0191, + "step": 11812 + }, + { + "epoch": 0.28, + "grad_norm": 1.9166313017276815, + "learning_rate": 1.6937100249994772e-05, + "loss": 0.9131, + "step": 11813 + }, + { + "epoch": 0.28, + "grad_norm": 1.913633239974259, + "learning_rate": 1.693655064611896e-05, + "loss": 0.8629, + "step": 11814 + }, + { + "epoch": 0.28, + "grad_norm": 1.7879326747756474, + "learning_rate": 1.693600100185636e-05, + "loss": 0.8888, + "step": 11815 + }, + { + "epoch": 0.28, + "grad_norm": 0.7474508681704937, + "learning_rate": 1.693545131721016e-05, + "loss": 0.7115, + "step": 11816 + }, + { + "epoch": 0.28, + "grad_norm": 2.215623540345661, + "learning_rate": 1.693490159218357e-05, + "loss": 0.9121, + "step": 11817 + }, + { + "epoch": 0.28, + "grad_norm": 1.5870393781149805, + "learning_rate": 1.6934351826779787e-05, + "loss": 0.8422, + "step": 11818 + }, + { + "epoch": 0.28, + "grad_norm": 2.1352435911458505, + "learning_rate": 1.6933802021002012e-05, + "loss": 1.031, + "step": 11819 + }, + { + "epoch": 0.28, + "grad_norm": 0.7746737343655556, + "learning_rate": 1.6933252174853446e-05, + "loss": 0.7531, + "step": 11820 + }, + { + "epoch": 0.28, + "grad_norm": 1.82900029980677, + "learning_rate": 1.6932702288337293e-05, + "loss": 0.8398, + "step": 11821 + }, + { + "epoch": 0.28, + "grad_norm": 2.285302844348197, + "learning_rate": 1.693215236145675e-05, + "loss": 0.965, + "step": 11822 + }, + { + "epoch": 0.28, + "grad_norm": 1.6793435402124128, + "learning_rate": 1.693160239421502e-05, + "loss": 0.7836, + "step": 11823 + }, + { + "epoch": 0.28, + "grad_norm": 2.962294659532668, + "learning_rate": 1.693105238661531e-05, + "loss": 0.8887, + "step": 11824 + }, + { + "epoch": 0.28, + "grad_norm": 0.7390143972909352, + "learning_rate": 1.6930502338660817e-05, + "loss": 0.7286, + "step": 11825 + }, + { + "epoch": 0.28, + "grad_norm": 1.4767632944742919, + "learning_rate": 1.6929952250354747e-05, + "loss": 0.9042, + "step": 11826 + }, + { + "epoch": 0.28, + "grad_norm": 0.7995932215828256, + "learning_rate": 1.6929402121700298e-05, + "loss": 0.7712, + "step": 11827 + }, + { + "epoch": 0.28, + "grad_norm": 1.9225512221766123, + "learning_rate": 1.692885195270068e-05, + "loss": 0.9867, + "step": 11828 + }, + { + "epoch": 0.28, + "grad_norm": 1.8461414705026633, + "learning_rate": 1.6928301743359087e-05, + "loss": 0.8562, + "step": 11829 + }, + { + "epoch": 0.28, + "grad_norm": 1.8984031588902992, + "learning_rate": 1.692775149367873e-05, + "loss": 0.9673, + "step": 11830 + }, + { + "epoch": 0.28, + "grad_norm": 1.8151307361654732, + "learning_rate": 1.692720120366281e-05, + "loss": 0.8548, + "step": 11831 + }, + { + "epoch": 0.28, + "grad_norm": 2.0379092175747178, + "learning_rate": 1.6926650873314535e-05, + "loss": 0.8701, + "step": 11832 + }, + { + "epoch": 0.28, + "grad_norm": 1.9928794227250706, + "learning_rate": 1.69261005026371e-05, + "loss": 0.8055, + "step": 11833 + }, + { + "epoch": 0.28, + "grad_norm": 2.3158127865575935, + "learning_rate": 1.692555009163372e-05, + "loss": 0.835, + "step": 11834 + }, + { + "epoch": 0.28, + "grad_norm": 1.6250793223359496, + "learning_rate": 1.6924999640307596e-05, + "loss": 0.8565, + "step": 11835 + }, + { + "epoch": 0.28, + "grad_norm": 1.6887492303546836, + "learning_rate": 1.6924449148661927e-05, + "loss": 0.9517, + "step": 11836 + }, + { + "epoch": 0.28, + "grad_norm": 2.026678408944157, + "learning_rate": 1.6923898616699925e-05, + "loss": 0.9666, + "step": 11837 + }, + { + "epoch": 0.28, + "grad_norm": 1.418059722940006, + "learning_rate": 1.6923348044424793e-05, + "loss": 0.8993, + "step": 11838 + }, + { + "epoch": 0.28, + "grad_norm": 1.8557674629915655, + "learning_rate": 1.6922797431839736e-05, + "loss": 0.8766, + "step": 11839 + }, + { + "epoch": 0.28, + "grad_norm": 2.0984299082168905, + "learning_rate": 1.692224677894796e-05, + "loss": 1.0187, + "step": 11840 + }, + { + "epoch": 0.28, + "grad_norm": 1.6726636547756737, + "learning_rate": 1.6921696085752674e-05, + "loss": 0.8536, + "step": 11841 + }, + { + "epoch": 0.28, + "grad_norm": 1.623338146697342, + "learning_rate": 1.692114535225708e-05, + "loss": 0.7335, + "step": 11842 + }, + { + "epoch": 0.28, + "grad_norm": 1.9625473682230714, + "learning_rate": 1.6920594578464386e-05, + "loss": 0.9151, + "step": 11843 + }, + { + "epoch": 0.28, + "grad_norm": 1.6515993773020263, + "learning_rate": 1.6920043764377804e-05, + "loss": 1.042, + "step": 11844 + }, + { + "epoch": 0.28, + "grad_norm": 1.6004110040001764, + "learning_rate": 1.6919492910000534e-05, + "loss": 0.8001, + "step": 11845 + }, + { + "epoch": 0.28, + "grad_norm": 1.628485278464238, + "learning_rate": 1.6918942015335785e-05, + "loss": 0.9143, + "step": 11846 + }, + { + "epoch": 0.28, + "grad_norm": 2.1998805640891113, + "learning_rate": 1.6918391080386763e-05, + "loss": 0.9322, + "step": 11847 + }, + { + "epoch": 0.28, + "grad_norm": 1.6515090717243937, + "learning_rate": 1.691784010515668e-05, + "loss": 0.8631, + "step": 11848 + }, + { + "epoch": 0.28, + "grad_norm": 0.7799180562099924, + "learning_rate": 1.6917289089648742e-05, + "loss": 0.7206, + "step": 11849 + }, + { + "epoch": 0.28, + "grad_norm": 1.9186087638840819, + "learning_rate": 1.6916738033866153e-05, + "loss": 0.8532, + "step": 11850 + }, + { + "epoch": 0.28, + "grad_norm": 1.7643630838437012, + "learning_rate": 1.6916186937812132e-05, + "loss": 0.9157, + "step": 11851 + }, + { + "epoch": 0.28, + "grad_norm": 1.604320214113011, + "learning_rate": 1.6915635801489876e-05, + "loss": 0.8937, + "step": 11852 + }, + { + "epoch": 0.28, + "grad_norm": 1.9297402876067704, + "learning_rate": 1.6915084624902602e-05, + "loss": 0.8402, + "step": 11853 + }, + { + "epoch": 0.28, + "grad_norm": 1.7487951657013134, + "learning_rate": 1.6914533408053513e-05, + "loss": 0.8851, + "step": 11854 + }, + { + "epoch": 0.28, + "grad_norm": 2.12662363746002, + "learning_rate": 1.6913982150945823e-05, + "loss": 0.7553, + "step": 11855 + }, + { + "epoch": 0.28, + "grad_norm": 1.5946411879673514, + "learning_rate": 1.691343085358274e-05, + "loss": 0.9844, + "step": 11856 + }, + { + "epoch": 0.28, + "grad_norm": 1.5953049442899454, + "learning_rate": 1.691287951596747e-05, + "loss": 0.9184, + "step": 11857 + }, + { + "epoch": 0.28, + "grad_norm": 1.8332270345945123, + "learning_rate": 1.6912328138103237e-05, + "loss": 0.977, + "step": 11858 + }, + { + "epoch": 0.28, + "grad_norm": 1.404762524844973, + "learning_rate": 1.6911776719993232e-05, + "loss": 0.9572, + "step": 11859 + }, + { + "epoch": 0.28, + "grad_norm": 1.6507398223578482, + "learning_rate": 1.6911225261640678e-05, + "loss": 1.0288, + "step": 11860 + }, + { + "epoch": 0.28, + "grad_norm": 1.8749000078257825, + "learning_rate": 1.691067376304878e-05, + "loss": 0.9495, + "step": 11861 + }, + { + "epoch": 0.28, + "grad_norm": 0.788358974089642, + "learning_rate": 1.6910122224220757e-05, + "loss": 0.7143, + "step": 11862 + }, + { + "epoch": 0.28, + "grad_norm": 1.6734895753108283, + "learning_rate": 1.6909570645159808e-05, + "loss": 0.8636, + "step": 11863 + }, + { + "epoch": 0.28, + "grad_norm": 1.8415755274199193, + "learning_rate": 1.6909019025869158e-05, + "loss": 0.9172, + "step": 11864 + }, + { + "epoch": 0.28, + "grad_norm": 1.7010902137357211, + "learning_rate": 1.6908467366352004e-05, + "loss": 0.992, + "step": 11865 + }, + { + "epoch": 0.28, + "grad_norm": 2.134548792767442, + "learning_rate": 1.690791566661157e-05, + "loss": 0.9045, + "step": 11866 + }, + { + "epoch": 0.28, + "grad_norm": 1.874180628995273, + "learning_rate": 1.690736392665107e-05, + "loss": 0.8631, + "step": 11867 + }, + { + "epoch": 0.28, + "grad_norm": 2.0231819772221793, + "learning_rate": 1.6906812146473703e-05, + "loss": 0.8171, + "step": 11868 + }, + { + "epoch": 0.28, + "grad_norm": 1.6660341292395662, + "learning_rate": 1.6906260326082692e-05, + "loss": 0.8527, + "step": 11869 + }, + { + "epoch": 0.28, + "grad_norm": 2.4255569638378933, + "learning_rate": 1.6905708465481242e-05, + "loss": 0.9183, + "step": 11870 + }, + { + "epoch": 0.28, + "grad_norm": 1.527830793648295, + "learning_rate": 1.6905156564672575e-05, + "loss": 0.7614, + "step": 11871 + }, + { + "epoch": 0.28, + "grad_norm": 1.7411145104939842, + "learning_rate": 1.6904604623659898e-05, + "loss": 0.9314, + "step": 11872 + }, + { + "epoch": 0.28, + "grad_norm": 1.6760440794812015, + "learning_rate": 1.690405264244643e-05, + "loss": 0.9693, + "step": 11873 + }, + { + "epoch": 0.28, + "grad_norm": 1.698532523195556, + "learning_rate": 1.690350062103538e-05, + "loss": 0.9242, + "step": 11874 + }, + { + "epoch": 0.28, + "grad_norm": 1.4881781953789393, + "learning_rate": 1.6902948559429962e-05, + "loss": 0.7851, + "step": 11875 + }, + { + "epoch": 0.28, + "grad_norm": 1.6988388438411828, + "learning_rate": 1.6902396457633397e-05, + "loss": 0.9068, + "step": 11876 + }, + { + "epoch": 0.28, + "grad_norm": 1.655128401071479, + "learning_rate": 1.6901844315648893e-05, + "loss": 1.05, + "step": 11877 + }, + { + "epoch": 0.28, + "grad_norm": 1.8847777338917546, + "learning_rate": 1.690129213347966e-05, + "loss": 0.9092, + "step": 11878 + }, + { + "epoch": 0.28, + "grad_norm": 1.755126190692796, + "learning_rate": 1.690073991112893e-05, + "loss": 0.8385, + "step": 11879 + }, + { + "epoch": 0.28, + "grad_norm": 1.6102744413155885, + "learning_rate": 1.69001876485999e-05, + "loss": 0.9025, + "step": 11880 + }, + { + "epoch": 0.28, + "grad_norm": 1.8720092430474187, + "learning_rate": 1.6899635345895796e-05, + "loss": 0.8161, + "step": 11881 + }, + { + "epoch": 0.28, + "grad_norm": 1.7459203412934068, + "learning_rate": 1.689908300301983e-05, + "loss": 0.9023, + "step": 11882 + }, + { + "epoch": 0.28, + "grad_norm": 1.6030273731256668, + "learning_rate": 1.6898530619975218e-05, + "loss": 0.7709, + "step": 11883 + }, + { + "epoch": 0.28, + "grad_norm": 1.9247385348240937, + "learning_rate": 1.6897978196765174e-05, + "loss": 0.7821, + "step": 11884 + }, + { + "epoch": 0.28, + "grad_norm": 1.6024038216091834, + "learning_rate": 1.689742573339292e-05, + "loss": 0.8203, + "step": 11885 + }, + { + "epoch": 0.28, + "grad_norm": 1.8617433637097933, + "learning_rate": 1.689687322986167e-05, + "loss": 0.972, + "step": 11886 + }, + { + "epoch": 0.28, + "grad_norm": 1.5104518365473514, + "learning_rate": 1.689632068617464e-05, + "loss": 0.9517, + "step": 11887 + }, + { + "epoch": 0.28, + "grad_norm": 1.7456215036095901, + "learning_rate": 1.6895768102335045e-05, + "loss": 0.9851, + "step": 11888 + }, + { + "epoch": 0.28, + "grad_norm": 1.8262608480644833, + "learning_rate": 1.689521547834611e-05, + "loss": 1.1219, + "step": 11889 + }, + { + "epoch": 0.28, + "grad_norm": 1.6277196512995065, + "learning_rate": 1.6894662814211046e-05, + "loss": 0.9363, + "step": 11890 + }, + { + "epoch": 0.28, + "grad_norm": 0.8132194822854347, + "learning_rate": 1.689411010993307e-05, + "loss": 0.7297, + "step": 11891 + }, + { + "epoch": 0.28, + "grad_norm": 1.6040367795349533, + "learning_rate": 1.6893557365515404e-05, + "loss": 1.0483, + "step": 11892 + }, + { + "epoch": 0.28, + "grad_norm": 1.8824627182278642, + "learning_rate": 1.6893004580961264e-05, + "loss": 0.7831, + "step": 11893 + }, + { + "epoch": 0.28, + "grad_norm": 1.6361125951718978, + "learning_rate": 1.689245175627387e-05, + "loss": 0.7656, + "step": 11894 + }, + { + "epoch": 0.28, + "grad_norm": 1.551665810209733, + "learning_rate": 1.689189889145644e-05, + "loss": 0.8508, + "step": 11895 + }, + { + "epoch": 0.28, + "grad_norm": 0.7778888714625977, + "learning_rate": 1.689134598651219e-05, + "loss": 0.7351, + "step": 11896 + }, + { + "epoch": 0.28, + "grad_norm": 1.7923144933205744, + "learning_rate": 1.6890793041444345e-05, + "loss": 0.7273, + "step": 11897 + }, + { + "epoch": 0.28, + "grad_norm": 1.7208415879197188, + "learning_rate": 1.689024005625612e-05, + "loss": 0.7496, + "step": 11898 + }, + { + "epoch": 0.28, + "grad_norm": 1.5518025733672036, + "learning_rate": 1.6889687030950736e-05, + "loss": 0.9027, + "step": 11899 + }, + { + "epoch": 0.28, + "grad_norm": 1.871029523461936, + "learning_rate": 1.688913396553141e-05, + "loss": 0.8209, + "step": 11900 + }, + { + "epoch": 0.28, + "grad_norm": 1.9199037423689178, + "learning_rate": 1.688858086000137e-05, + "loss": 0.9341, + "step": 11901 + }, + { + "epoch": 0.28, + "grad_norm": 1.8274445056385737, + "learning_rate": 1.688802771436383e-05, + "loss": 0.9114, + "step": 11902 + }, + { + "epoch": 0.28, + "grad_norm": 1.5831373592735207, + "learning_rate": 1.688747452862201e-05, + "loss": 0.7782, + "step": 11903 + }, + { + "epoch": 0.28, + "grad_norm": 1.6737770546030644, + "learning_rate": 1.6886921302779134e-05, + "loss": 0.9152, + "step": 11904 + }, + { + "epoch": 0.28, + "grad_norm": 1.6156489442117086, + "learning_rate": 1.6886368036838422e-05, + "loss": 0.9294, + "step": 11905 + }, + { + "epoch": 0.28, + "grad_norm": 1.6866337738228052, + "learning_rate": 1.6885814730803095e-05, + "loss": 0.8749, + "step": 11906 + }, + { + "epoch": 0.28, + "grad_norm": 1.791577152866485, + "learning_rate": 1.6885261384676373e-05, + "loss": 0.8781, + "step": 11907 + }, + { + "epoch": 0.28, + "grad_norm": 2.8601860409643, + "learning_rate": 1.688470799846148e-05, + "loss": 0.9045, + "step": 11908 + }, + { + "epoch": 0.28, + "grad_norm": 1.5081979585173522, + "learning_rate": 1.6884154572161636e-05, + "loss": 0.7655, + "step": 11909 + }, + { + "epoch": 0.28, + "grad_norm": 1.515456510828473, + "learning_rate": 1.6883601105780068e-05, + "loss": 0.8049, + "step": 11910 + }, + { + "epoch": 0.28, + "grad_norm": 0.7779449998902882, + "learning_rate": 1.6883047599319994e-05, + "loss": 0.7024, + "step": 11911 + }, + { + "epoch": 0.28, + "grad_norm": 1.7694748496863049, + "learning_rate": 1.6882494052784637e-05, + "loss": 0.8589, + "step": 11912 + }, + { + "epoch": 0.28, + "grad_norm": 1.5646180848542084, + "learning_rate": 1.688194046617722e-05, + "loss": 0.942, + "step": 11913 + }, + { + "epoch": 0.28, + "grad_norm": 1.5456179215144736, + "learning_rate": 1.688138683950097e-05, + "loss": 0.8851, + "step": 11914 + }, + { + "epoch": 0.28, + "grad_norm": 1.8629385273547945, + "learning_rate": 1.6880833172759105e-05, + "loss": 1.0411, + "step": 11915 + }, + { + "epoch": 0.28, + "grad_norm": 1.8696924277041789, + "learning_rate": 1.688027946595485e-05, + "loss": 0.9068, + "step": 11916 + }, + { + "epoch": 0.28, + "grad_norm": 1.8093850193856522, + "learning_rate": 1.687972571909143e-05, + "loss": 0.9642, + "step": 11917 + }, + { + "epoch": 0.28, + "grad_norm": 1.7119229560475238, + "learning_rate": 1.6879171932172074e-05, + "loss": 0.9055, + "step": 11918 + }, + { + "epoch": 0.28, + "grad_norm": 1.5237004523498159, + "learning_rate": 1.6878618105199995e-05, + "loss": 0.8481, + "step": 11919 + }, + { + "epoch": 0.28, + "grad_norm": 2.178830112405341, + "learning_rate": 1.6878064238178423e-05, + "loss": 0.9361, + "step": 11920 + }, + { + "epoch": 0.28, + "grad_norm": 1.6751924325889995, + "learning_rate": 1.6877510331110586e-05, + "loss": 0.8742, + "step": 11921 + }, + { + "epoch": 0.28, + "grad_norm": 1.5174598840521414, + "learning_rate": 1.6876956383999707e-05, + "loss": 0.8193, + "step": 11922 + }, + { + "epoch": 0.28, + "grad_norm": 1.5927471932600201, + "learning_rate": 1.687640239684901e-05, + "loss": 0.9493, + "step": 11923 + }, + { + "epoch": 0.28, + "grad_norm": 1.6320087710091213, + "learning_rate": 1.6875848369661722e-05, + "loss": 0.846, + "step": 11924 + }, + { + "epoch": 0.28, + "grad_norm": 2.0236681971838073, + "learning_rate": 1.6875294302441067e-05, + "loss": 0.824, + "step": 11925 + }, + { + "epoch": 0.28, + "grad_norm": 1.8059948510508657, + "learning_rate": 1.687474019519027e-05, + "loss": 0.7554, + "step": 11926 + }, + { + "epoch": 0.28, + "grad_norm": 1.612880332176102, + "learning_rate": 1.6874186047912565e-05, + "loss": 1.01, + "step": 11927 + }, + { + "epoch": 0.28, + "grad_norm": 1.427346443889244, + "learning_rate": 1.6873631860611165e-05, + "loss": 0.9605, + "step": 11928 + }, + { + "epoch": 0.28, + "grad_norm": 1.5882196352768796, + "learning_rate": 1.687307763328931e-05, + "loss": 0.9055, + "step": 11929 + }, + { + "epoch": 0.28, + "grad_norm": 1.6243369311505065, + "learning_rate": 1.6872523365950218e-05, + "loss": 0.894, + "step": 11930 + }, + { + "epoch": 0.28, + "grad_norm": 1.6417551179628413, + "learning_rate": 1.6871969058597118e-05, + "loss": 0.8638, + "step": 11931 + }, + { + "epoch": 0.28, + "grad_norm": 1.4852237339179353, + "learning_rate": 1.687141471123324e-05, + "loss": 1.021, + "step": 11932 + }, + { + "epoch": 0.28, + "grad_norm": 1.5135975500094294, + "learning_rate": 1.6870860323861813e-05, + "loss": 0.7815, + "step": 11933 + }, + { + "epoch": 0.28, + "grad_norm": 0.7869269301425696, + "learning_rate": 1.6870305896486058e-05, + "loss": 0.6953, + "step": 11934 + }, + { + "epoch": 0.28, + "grad_norm": 1.7118126221475751, + "learning_rate": 1.686975142910921e-05, + "loss": 0.9083, + "step": 11935 + }, + { + "epoch": 0.28, + "grad_norm": 1.7131249495944432, + "learning_rate": 1.686919692173449e-05, + "loss": 0.7661, + "step": 11936 + }, + { + "epoch": 0.28, + "grad_norm": 5.890865598370462, + "learning_rate": 1.6868642374365135e-05, + "loss": 0.9425, + "step": 11937 + }, + { + "epoch": 0.28, + "grad_norm": 1.5990574060745164, + "learning_rate": 1.686808778700437e-05, + "loss": 0.8791, + "step": 11938 + }, + { + "epoch": 0.28, + "grad_norm": 1.52940346357347, + "learning_rate": 1.686753315965542e-05, + "loss": 0.8707, + "step": 11939 + }, + { + "epoch": 0.28, + "grad_norm": 1.4877697772568135, + "learning_rate": 1.686697849232152e-05, + "loss": 0.8304, + "step": 11940 + }, + { + "epoch": 0.28, + "grad_norm": 1.8246345157903339, + "learning_rate": 1.6866423785005895e-05, + "loss": 0.9389, + "step": 11941 + }, + { + "epoch": 0.28, + "grad_norm": 1.626327601834971, + "learning_rate": 1.6865869037711776e-05, + "loss": 0.8803, + "step": 11942 + }, + { + "epoch": 0.28, + "grad_norm": 1.680680569286317, + "learning_rate": 1.68653142504424e-05, + "loss": 0.938, + "step": 11943 + }, + { + "epoch": 0.28, + "grad_norm": 1.8900692370960732, + "learning_rate": 1.6864759423200984e-05, + "loss": 0.8942, + "step": 11944 + }, + { + "epoch": 0.28, + "grad_norm": 2.1387147140621563, + "learning_rate": 1.6864204555990768e-05, + "loss": 0.9377, + "step": 11945 + }, + { + "epoch": 0.28, + "grad_norm": 1.505174174538712, + "learning_rate": 1.6863649648814982e-05, + "loss": 0.996, + "step": 11946 + }, + { + "epoch": 0.28, + "grad_norm": 1.9097670416881334, + "learning_rate": 1.686309470167685e-05, + "loss": 0.8916, + "step": 11947 + }, + { + "epoch": 0.28, + "grad_norm": 1.7915491469037939, + "learning_rate": 1.686253971457961e-05, + "loss": 0.8375, + "step": 11948 + }, + { + "epoch": 0.28, + "grad_norm": 1.6473067173076699, + "learning_rate": 1.6861984687526494e-05, + "loss": 0.9209, + "step": 11949 + }, + { + "epoch": 0.28, + "grad_norm": 1.6920297350709872, + "learning_rate": 1.6861429620520725e-05, + "loss": 1.0455, + "step": 11950 + }, + { + "epoch": 0.28, + "grad_norm": 0.76326928415404, + "learning_rate": 1.6860874513565544e-05, + "loss": 0.6994, + "step": 11951 + }, + { + "epoch": 0.28, + "grad_norm": 2.2167199354116653, + "learning_rate": 1.6860319366664182e-05, + "loss": 0.9548, + "step": 11952 + }, + { + "epoch": 0.28, + "grad_norm": 1.7533962146293378, + "learning_rate": 1.6859764179819866e-05, + "loss": 0.9289, + "step": 11953 + }, + { + "epoch": 0.28, + "grad_norm": 1.5844255153097195, + "learning_rate": 1.6859208953035832e-05, + "loss": 0.9392, + "step": 11954 + }, + { + "epoch": 0.28, + "grad_norm": 2.0442228668185543, + "learning_rate": 1.685865368631531e-05, + "loss": 0.8882, + "step": 11955 + }, + { + "epoch": 0.28, + "grad_norm": 2.070634698509685, + "learning_rate": 1.6858098379661538e-05, + "loss": 0.9656, + "step": 11956 + }, + { + "epoch": 0.28, + "grad_norm": 1.5455420772049355, + "learning_rate": 1.685754303307774e-05, + "loss": 0.8801, + "step": 11957 + }, + { + "epoch": 0.28, + "grad_norm": 0.7402729737217782, + "learning_rate": 1.6856987646567163e-05, + "loss": 0.7426, + "step": 11958 + }, + { + "epoch": 0.28, + "grad_norm": 0.7954610396272822, + "learning_rate": 1.685643222013303e-05, + "loss": 0.7029, + "step": 11959 + }, + { + "epoch": 0.28, + "grad_norm": 1.7757253189407964, + "learning_rate": 1.6855876753778574e-05, + "loss": 0.9252, + "step": 11960 + }, + { + "epoch": 0.28, + "grad_norm": 1.893315054471856, + "learning_rate": 1.6855321247507034e-05, + "loss": 0.9018, + "step": 11961 + }, + { + "epoch": 0.28, + "grad_norm": 0.7831425662719714, + "learning_rate": 1.6854765701321648e-05, + "loss": 0.6974, + "step": 11962 + }, + { + "epoch": 0.28, + "grad_norm": 1.536807499597227, + "learning_rate": 1.6854210115225642e-05, + "loss": 0.9197, + "step": 11963 + }, + { + "epoch": 0.28, + "grad_norm": 1.6305531725772264, + "learning_rate": 1.6853654489222258e-05, + "loss": 0.8365, + "step": 11964 + }, + { + "epoch": 0.28, + "grad_norm": 1.7062035776875484, + "learning_rate": 1.6853098823314728e-05, + "loss": 0.9447, + "step": 11965 + }, + { + "epoch": 0.28, + "grad_norm": 1.535571008686289, + "learning_rate": 1.685254311750628e-05, + "loss": 1.0688, + "step": 11966 + }, + { + "epoch": 0.28, + "grad_norm": 1.5788159770519228, + "learning_rate": 1.6851987371800164e-05, + "loss": 0.9078, + "step": 11967 + }, + { + "epoch": 0.28, + "grad_norm": 2.1274157156174507, + "learning_rate": 1.6851431586199604e-05, + "loss": 0.9108, + "step": 11968 + }, + { + "epoch": 0.28, + "grad_norm": 1.866340581707766, + "learning_rate": 1.6850875760707842e-05, + "loss": 0.836, + "step": 11969 + }, + { + "epoch": 0.28, + "grad_norm": 2.105344429618733, + "learning_rate": 1.6850319895328112e-05, + "loss": 0.8866, + "step": 11970 + }, + { + "epoch": 0.28, + "grad_norm": 1.9657941433995334, + "learning_rate": 1.6849763990063654e-05, + "loss": 0.823, + "step": 11971 + }, + { + "epoch": 0.28, + "grad_norm": 1.5267912136862072, + "learning_rate": 1.6849208044917696e-05, + "loss": 0.7875, + "step": 11972 + }, + { + "epoch": 0.28, + "grad_norm": 2.0609907217721593, + "learning_rate": 1.6848652059893485e-05, + "loss": 0.9281, + "step": 11973 + }, + { + "epoch": 0.28, + "grad_norm": 1.9292368859833333, + "learning_rate": 1.6848096034994253e-05, + "loss": 0.7822, + "step": 11974 + }, + { + "epoch": 0.28, + "grad_norm": 1.6565847050571256, + "learning_rate": 1.684753997022323e-05, + "loss": 0.8968, + "step": 11975 + }, + { + "epoch": 0.28, + "grad_norm": 2.4260049889555932, + "learning_rate": 1.6846983865583674e-05, + "loss": 0.7829, + "step": 11976 + }, + { + "epoch": 0.28, + "grad_norm": 0.818365802229671, + "learning_rate": 1.6846427721078798e-05, + "loss": 0.7833, + "step": 11977 + }, + { + "epoch": 0.28, + "grad_norm": 1.9245493009586625, + "learning_rate": 1.684587153671186e-05, + "loss": 0.9453, + "step": 11978 + }, + { + "epoch": 0.28, + "grad_norm": 1.8368783545027416, + "learning_rate": 1.6845315312486088e-05, + "loss": 0.9554, + "step": 11979 + }, + { + "epoch": 0.28, + "grad_norm": 1.609424948604408, + "learning_rate": 1.6844759048404724e-05, + "loss": 0.9869, + "step": 11980 + }, + { + "epoch": 0.28, + "grad_norm": 1.7866375996969315, + "learning_rate": 1.6844202744471006e-05, + "loss": 0.9116, + "step": 11981 + }, + { + "epoch": 0.28, + "grad_norm": 1.6722354443620058, + "learning_rate": 1.684364640068817e-05, + "loss": 0.8513, + "step": 11982 + }, + { + "epoch": 0.28, + "grad_norm": 1.4986188382909524, + "learning_rate": 1.684309001705946e-05, + "loss": 0.8861, + "step": 11983 + }, + { + "epoch": 0.28, + "grad_norm": 1.5004775006260447, + "learning_rate": 1.6842533593588116e-05, + "loss": 0.9398, + "step": 11984 + }, + { + "epoch": 0.28, + "grad_norm": 1.558206720956472, + "learning_rate": 1.684197713027737e-05, + "loss": 0.9898, + "step": 11985 + }, + { + "epoch": 0.28, + "grad_norm": 2.096053578522094, + "learning_rate": 1.684142062713047e-05, + "loss": 0.9228, + "step": 11986 + }, + { + "epoch": 0.28, + "grad_norm": 1.9905456899423644, + "learning_rate": 1.6840864084150658e-05, + "loss": 0.9454, + "step": 11987 + }, + { + "epoch": 0.28, + "grad_norm": 2.0406175796783166, + "learning_rate": 1.684030750134116e-05, + "loss": 0.9105, + "step": 11988 + }, + { + "epoch": 0.28, + "grad_norm": 1.8094813194994734, + "learning_rate": 1.683975087870523e-05, + "loss": 0.9252, + "step": 11989 + }, + { + "epoch": 0.28, + "grad_norm": 1.49765538640789, + "learning_rate": 1.683919421624611e-05, + "loss": 0.8326, + "step": 11990 + }, + { + "epoch": 0.28, + "grad_norm": 1.855900640479037, + "learning_rate": 1.683863751396703e-05, + "loss": 0.9225, + "step": 11991 + }, + { + "epoch": 0.28, + "grad_norm": 1.6281656358575407, + "learning_rate": 1.683808077187124e-05, + "loss": 0.9282, + "step": 11992 + }, + { + "epoch": 0.28, + "grad_norm": 1.7998804997126636, + "learning_rate": 1.6837523989961973e-05, + "loss": 0.8072, + "step": 11993 + }, + { + "epoch": 0.28, + "grad_norm": 1.67364191416572, + "learning_rate": 1.6836967168242483e-05, + "loss": 0.928, + "step": 11994 + }, + { + "epoch": 0.28, + "grad_norm": 1.7854462943324119, + "learning_rate": 1.6836410306716005e-05, + "loss": 0.9554, + "step": 11995 + }, + { + "epoch": 0.28, + "grad_norm": 1.6829020417295673, + "learning_rate": 1.6835853405385778e-05, + "loss": 0.9988, + "step": 11996 + }, + { + "epoch": 0.28, + "grad_norm": 3.83268277602567, + "learning_rate": 1.6835296464255052e-05, + "loss": 0.9173, + "step": 11997 + }, + { + "epoch": 0.28, + "grad_norm": 1.5678082296557043, + "learning_rate": 1.6834739483327066e-05, + "loss": 1.0384, + "step": 11998 + }, + { + "epoch": 0.28, + "grad_norm": 2.104277962191381, + "learning_rate": 1.6834182462605062e-05, + "loss": 0.8246, + "step": 11999 + }, + { + "epoch": 0.28, + "grad_norm": 2.7602686888898487, + "learning_rate": 1.6833625402092286e-05, + "loss": 0.8645, + "step": 12000 + }, + { + "epoch": 0.28, + "grad_norm": 1.6041213267131018, + "learning_rate": 1.6833068301791977e-05, + "loss": 0.9113, + "step": 12001 + }, + { + "epoch": 0.28, + "grad_norm": 1.5987947473327595, + "learning_rate": 1.683251116170738e-05, + "loss": 0.9146, + "step": 12002 + }, + { + "epoch": 0.28, + "grad_norm": 0.7538991054384148, + "learning_rate": 1.683195398184174e-05, + "loss": 0.7696, + "step": 12003 + }, + { + "epoch": 0.28, + "grad_norm": 1.598615945971454, + "learning_rate": 1.6831396762198303e-05, + "loss": 0.8994, + "step": 12004 + }, + { + "epoch": 0.28, + "grad_norm": 1.6312025312528575, + "learning_rate": 1.683083950278031e-05, + "loss": 0.9173, + "step": 12005 + }, + { + "epoch": 0.28, + "grad_norm": 2.1469722069445285, + "learning_rate": 1.6830282203591007e-05, + "loss": 0.8982, + "step": 12006 + }, + { + "epoch": 0.28, + "grad_norm": 1.6194089528708333, + "learning_rate": 1.682972486463364e-05, + "loss": 0.8182, + "step": 12007 + }, + { + "epoch": 0.28, + "grad_norm": 1.6205936556553933, + "learning_rate": 1.682916748591145e-05, + "loss": 0.9215, + "step": 12008 + }, + { + "epoch": 0.28, + "grad_norm": 1.9300994080498424, + "learning_rate": 1.6828610067427686e-05, + "loss": 0.9709, + "step": 12009 + }, + { + "epoch": 0.28, + "grad_norm": 1.6038221956885672, + "learning_rate": 1.6828052609185592e-05, + "loss": 0.884, + "step": 12010 + }, + { + "epoch": 0.28, + "grad_norm": 1.8997622918148926, + "learning_rate": 1.6827495111188413e-05, + "loss": 0.8515, + "step": 12011 + }, + { + "epoch": 0.28, + "grad_norm": 2.1720136531035363, + "learning_rate": 1.6826937573439395e-05, + "loss": 0.8107, + "step": 12012 + }, + { + "epoch": 0.28, + "grad_norm": 1.6670433151228083, + "learning_rate": 1.682637999594179e-05, + "loss": 0.9115, + "step": 12013 + }, + { + "epoch": 0.28, + "grad_norm": 0.781347145843065, + "learning_rate": 1.6825822378698836e-05, + "loss": 0.754, + "step": 12014 + }, + { + "epoch": 0.28, + "grad_norm": 1.7219968902578384, + "learning_rate": 1.6825264721713787e-05, + "loss": 0.9366, + "step": 12015 + }, + { + "epoch": 0.28, + "grad_norm": 1.6875884437487558, + "learning_rate": 1.6824707024989885e-05, + "loss": 0.9451, + "step": 12016 + }, + { + "epoch": 0.28, + "grad_norm": 1.5995693316035462, + "learning_rate": 1.6824149288530374e-05, + "loss": 0.8895, + "step": 12017 + }, + { + "epoch": 0.28, + "grad_norm": 2.149500730875499, + "learning_rate": 1.6823591512338508e-05, + "loss": 0.9348, + "step": 12018 + }, + { + "epoch": 0.28, + "grad_norm": 1.760873645347549, + "learning_rate": 1.682303369641753e-05, + "loss": 0.8645, + "step": 12019 + }, + { + "epoch": 0.28, + "grad_norm": 1.8905186844145445, + "learning_rate": 1.6822475840770692e-05, + "loss": 0.907, + "step": 12020 + }, + { + "epoch": 0.28, + "grad_norm": 1.5571656158862432, + "learning_rate": 1.6821917945401237e-05, + "loss": 0.8709, + "step": 12021 + }, + { + "epoch": 0.28, + "grad_norm": 2.260418202020794, + "learning_rate": 1.6821360010312418e-05, + "loss": 0.9313, + "step": 12022 + }, + { + "epoch": 0.28, + "grad_norm": 3.4934270165979413, + "learning_rate": 1.682080203550748e-05, + "loss": 0.8573, + "step": 12023 + }, + { + "epoch": 0.28, + "grad_norm": 2.034536272609702, + "learning_rate": 1.6820244020989672e-05, + "loss": 0.9021, + "step": 12024 + }, + { + "epoch": 0.28, + "grad_norm": 2.0570860638442308, + "learning_rate": 1.681968596676225e-05, + "loss": 0.9167, + "step": 12025 + }, + { + "epoch": 0.28, + "grad_norm": 1.83266942293986, + "learning_rate": 1.681912787282845e-05, + "loss": 0.9359, + "step": 12026 + }, + { + "epoch": 0.28, + "grad_norm": 1.607199162803655, + "learning_rate": 1.6818569739191535e-05, + "loss": 0.8248, + "step": 12027 + }, + { + "epoch": 0.28, + "grad_norm": 1.940844247380595, + "learning_rate": 1.6818011565854744e-05, + "loss": 0.9108, + "step": 12028 + }, + { + "epoch": 0.28, + "grad_norm": 1.6376121189011217, + "learning_rate": 1.6817453352821333e-05, + "loss": 0.9435, + "step": 12029 + }, + { + "epoch": 0.28, + "grad_norm": 1.691841416330259, + "learning_rate": 1.681689510009455e-05, + "loss": 0.9331, + "step": 12030 + }, + { + "epoch": 0.28, + "grad_norm": 1.6628542023659327, + "learning_rate": 1.6816336807677644e-05, + "loss": 0.8653, + "step": 12031 + }, + { + "epoch": 0.28, + "grad_norm": 2.294024461941376, + "learning_rate": 1.681577847557387e-05, + "loss": 0.7179, + "step": 12032 + }, + { + "epoch": 0.28, + "grad_norm": 1.9792058539684019, + "learning_rate": 1.6815220103786472e-05, + "loss": 0.9435, + "step": 12033 + }, + { + "epoch": 0.28, + "grad_norm": 1.4942126219558383, + "learning_rate": 1.6814661692318707e-05, + "loss": 0.9001, + "step": 12034 + }, + { + "epoch": 0.28, + "grad_norm": 1.8648791980329587, + "learning_rate": 1.6814103241173825e-05, + "loss": 0.8529, + "step": 12035 + }, + { + "epoch": 0.28, + "grad_norm": 1.8701655761344942, + "learning_rate": 1.6813544750355074e-05, + "loss": 0.9545, + "step": 12036 + }, + { + "epoch": 0.28, + "grad_norm": 1.7721434012550688, + "learning_rate": 1.6812986219865712e-05, + "loss": 0.8937, + "step": 12037 + }, + { + "epoch": 0.28, + "grad_norm": 1.6869979922361382, + "learning_rate": 1.6812427649708984e-05, + "loss": 1.0893, + "step": 12038 + }, + { + "epoch": 0.28, + "grad_norm": 2.23489195066584, + "learning_rate": 1.681186903988815e-05, + "loss": 0.9954, + "step": 12039 + }, + { + "epoch": 0.28, + "grad_norm": 1.861121565290976, + "learning_rate": 1.6811310390406454e-05, + "loss": 0.7943, + "step": 12040 + }, + { + "epoch": 0.28, + "grad_norm": 1.5769377507551614, + "learning_rate": 1.681075170126715e-05, + "loss": 0.8206, + "step": 12041 + }, + { + "epoch": 0.28, + "grad_norm": 2.3856169391168405, + "learning_rate": 1.6810192972473497e-05, + "loss": 0.8743, + "step": 12042 + }, + { + "epoch": 0.28, + "grad_norm": 1.9042744798290965, + "learning_rate": 1.6809634204028745e-05, + "loss": 0.8607, + "step": 12043 + }, + { + "epoch": 0.28, + "grad_norm": 2.898374813530906, + "learning_rate": 1.6809075395936142e-05, + "loss": 0.7559, + "step": 12044 + }, + { + "epoch": 0.28, + "grad_norm": 1.6287797757903792, + "learning_rate": 1.6808516548198955e-05, + "loss": 1.0029, + "step": 12045 + }, + { + "epoch": 0.28, + "grad_norm": 1.5626154270229073, + "learning_rate": 1.6807957660820423e-05, + "loss": 0.9255, + "step": 12046 + }, + { + "epoch": 0.28, + "grad_norm": 1.553058150223732, + "learning_rate": 1.6807398733803804e-05, + "loss": 0.9342, + "step": 12047 + }, + { + "epoch": 0.28, + "grad_norm": 4.246229687656165, + "learning_rate": 1.680683976715236e-05, + "loss": 0.8822, + "step": 12048 + }, + { + "epoch": 0.28, + "grad_norm": 1.567625828461718, + "learning_rate": 1.6806280760869338e-05, + "loss": 0.9194, + "step": 12049 + }, + { + "epoch": 0.28, + "grad_norm": 1.8442038817741306, + "learning_rate": 1.6805721714957995e-05, + "loss": 0.8615, + "step": 12050 + }, + { + "epoch": 0.28, + "grad_norm": 1.4476134548520896, + "learning_rate": 1.6805162629421583e-05, + "loss": 1.0393, + "step": 12051 + }, + { + "epoch": 0.28, + "grad_norm": 1.5180204249317317, + "learning_rate": 1.6804603504263362e-05, + "loss": 0.9184, + "step": 12052 + }, + { + "epoch": 0.28, + "grad_norm": 1.4237982661121347, + "learning_rate": 1.6804044339486584e-05, + "loss": 0.9437, + "step": 12053 + }, + { + "epoch": 0.28, + "grad_norm": 1.5683298241787367, + "learning_rate": 1.6803485135094506e-05, + "loss": 0.9303, + "step": 12054 + }, + { + "epoch": 0.28, + "grad_norm": 1.611735242885587, + "learning_rate": 1.6802925891090383e-05, + "loss": 0.8213, + "step": 12055 + }, + { + "epoch": 0.28, + "grad_norm": 0.7501577104244833, + "learning_rate": 1.680236660747747e-05, + "loss": 0.7556, + "step": 12056 + }, + { + "epoch": 0.28, + "grad_norm": 1.974586014174337, + "learning_rate": 1.680180728425903e-05, + "loss": 0.8201, + "step": 12057 + }, + { + "epoch": 0.28, + "grad_norm": 1.993298985399936, + "learning_rate": 1.6801247921438313e-05, + "loss": 1.0068, + "step": 12058 + }, + { + "epoch": 0.28, + "grad_norm": 2.0756698308222354, + "learning_rate": 1.6800688519018575e-05, + "loss": 0.8988, + "step": 12059 + }, + { + "epoch": 0.28, + "grad_norm": 1.8244927472270251, + "learning_rate": 1.680012907700308e-05, + "loss": 0.8861, + "step": 12060 + }, + { + "epoch": 0.28, + "grad_norm": 1.9336884554123603, + "learning_rate": 1.6799569595395074e-05, + "loss": 0.8323, + "step": 12061 + }, + { + "epoch": 0.28, + "grad_norm": 2.088100338386899, + "learning_rate": 1.6799010074197827e-05, + "loss": 0.9371, + "step": 12062 + }, + { + "epoch": 0.28, + "grad_norm": 1.5040603419417602, + "learning_rate": 1.6798450513414586e-05, + "loss": 0.9496, + "step": 12063 + }, + { + "epoch": 0.28, + "grad_norm": 1.915075576516552, + "learning_rate": 1.6797890913048615e-05, + "loss": 0.8665, + "step": 12064 + }, + { + "epoch": 0.28, + "grad_norm": 1.6633815755659207, + "learning_rate": 1.6797331273103172e-05, + "loss": 0.9223, + "step": 12065 + }, + { + "epoch": 0.28, + "grad_norm": 1.6068577900312653, + "learning_rate": 1.6796771593581515e-05, + "loss": 0.883, + "step": 12066 + }, + { + "epoch": 0.28, + "grad_norm": 3.2480114650244136, + "learning_rate": 1.67962118744869e-05, + "loss": 0.9311, + "step": 12067 + }, + { + "epoch": 0.28, + "grad_norm": 1.652746162691458, + "learning_rate": 1.6795652115822592e-05, + "loss": 0.8531, + "step": 12068 + }, + { + "epoch": 0.28, + "grad_norm": 1.5109277988128746, + "learning_rate": 1.6795092317591845e-05, + "loss": 0.9331, + "step": 12069 + }, + { + "epoch": 0.28, + "grad_norm": 1.7087959573625484, + "learning_rate": 1.6794532479797917e-05, + "loss": 0.904, + "step": 12070 + }, + { + "epoch": 0.28, + "grad_norm": 1.7058387289330337, + "learning_rate": 1.6793972602444068e-05, + "loss": 0.8387, + "step": 12071 + }, + { + "epoch": 0.28, + "grad_norm": 2.0870066098098943, + "learning_rate": 1.679341268553356e-05, + "loss": 0.809, + "step": 12072 + }, + { + "epoch": 0.28, + "grad_norm": 1.6100550936958016, + "learning_rate": 1.6792852729069655e-05, + "loss": 0.8466, + "step": 12073 + }, + { + "epoch": 0.28, + "grad_norm": 1.5805900355126292, + "learning_rate": 1.679229273305561e-05, + "loss": 0.7826, + "step": 12074 + }, + { + "epoch": 0.28, + "grad_norm": 1.7415190818920951, + "learning_rate": 1.6791732697494686e-05, + "loss": 0.9487, + "step": 12075 + }, + { + "epoch": 0.28, + "grad_norm": 0.8296216456389471, + "learning_rate": 1.6791172622390143e-05, + "loss": 0.7222, + "step": 12076 + }, + { + "epoch": 0.28, + "grad_norm": 1.7052077722070471, + "learning_rate": 1.6790612507745248e-05, + "loss": 1.0562, + "step": 12077 + }, + { + "epoch": 0.28, + "grad_norm": 1.580337238134025, + "learning_rate": 1.6790052353563254e-05, + "loss": 0.8409, + "step": 12078 + }, + { + "epoch": 0.28, + "grad_norm": 1.822350772669777, + "learning_rate": 1.6789492159847423e-05, + "loss": 0.9346, + "step": 12079 + }, + { + "epoch": 0.28, + "grad_norm": 1.461389939320792, + "learning_rate": 1.6788931926601023e-05, + "loss": 0.9343, + "step": 12080 + }, + { + "epoch": 0.28, + "grad_norm": 0.7284629918577966, + "learning_rate": 1.6788371653827308e-05, + "loss": 0.7117, + "step": 12081 + }, + { + "epoch": 0.28, + "grad_norm": 1.7375188360014948, + "learning_rate": 1.6787811341529545e-05, + "loss": 0.9151, + "step": 12082 + }, + { + "epoch": 0.28, + "grad_norm": 1.9043100554976007, + "learning_rate": 1.6787250989711e-05, + "loss": 0.9057, + "step": 12083 + }, + { + "epoch": 0.28, + "grad_norm": 1.7688161928596076, + "learning_rate": 1.6786690598374925e-05, + "loss": 0.9178, + "step": 12084 + }, + { + "epoch": 0.28, + "grad_norm": 1.7536739895370543, + "learning_rate": 1.678613016752459e-05, + "loss": 1.035, + "step": 12085 + }, + { + "epoch": 0.28, + "grad_norm": 1.564625828669157, + "learning_rate": 1.678556969716326e-05, + "loss": 1.0008, + "step": 12086 + }, + { + "epoch": 0.28, + "grad_norm": 1.7050321826502366, + "learning_rate": 1.678500918729419e-05, + "loss": 0.9831, + "step": 12087 + }, + { + "epoch": 0.28, + "grad_norm": 1.5072557766213537, + "learning_rate": 1.6784448637920654e-05, + "loss": 0.909, + "step": 12088 + }, + { + "epoch": 0.28, + "grad_norm": 2.422028918444073, + "learning_rate": 1.6783888049045905e-05, + "loss": 0.8803, + "step": 12089 + }, + { + "epoch": 0.28, + "grad_norm": 0.7171492684636207, + "learning_rate": 1.6783327420673217e-05, + "loss": 0.7521, + "step": 12090 + }, + { + "epoch": 0.28, + "grad_norm": 1.8454929868911767, + "learning_rate": 1.6782766752805843e-05, + "loss": 0.9211, + "step": 12091 + }, + { + "epoch": 0.28, + "grad_norm": 1.7361819570618178, + "learning_rate": 1.678220604544706e-05, + "loss": 0.8216, + "step": 12092 + }, + { + "epoch": 0.28, + "grad_norm": 1.9304340204213981, + "learning_rate": 1.6781645298600122e-05, + "loss": 0.8727, + "step": 12093 + }, + { + "epoch": 0.28, + "grad_norm": 1.776117311973096, + "learning_rate": 1.67810845122683e-05, + "loss": 0.9127, + "step": 12094 + }, + { + "epoch": 0.28, + "grad_norm": 1.5399637669154793, + "learning_rate": 1.6780523686454856e-05, + "loss": 0.9363, + "step": 12095 + }, + { + "epoch": 0.28, + "grad_norm": 1.6170712388149475, + "learning_rate": 1.6779962821163055e-05, + "loss": 1.0037, + "step": 12096 + }, + { + "epoch": 0.28, + "grad_norm": 1.5360259193886876, + "learning_rate": 1.6779401916396167e-05, + "loss": 0.9539, + "step": 12097 + }, + { + "epoch": 0.29, + "grad_norm": 1.5607749567476685, + "learning_rate": 1.6778840972157453e-05, + "loss": 0.8498, + "step": 12098 + }, + { + "epoch": 0.29, + "grad_norm": 1.6577397219977938, + "learning_rate": 1.677827998845018e-05, + "loss": 0.9981, + "step": 12099 + }, + { + "epoch": 0.29, + "grad_norm": 1.5415657281108988, + "learning_rate": 1.6777718965277618e-05, + "loss": 0.8641, + "step": 12100 + }, + { + "epoch": 0.29, + "grad_norm": 2.43334072632315, + "learning_rate": 1.677715790264303e-05, + "loss": 0.9486, + "step": 12101 + }, + { + "epoch": 0.29, + "grad_norm": 1.471890966943418, + "learning_rate": 1.677659680054968e-05, + "loss": 0.875, + "step": 12102 + }, + { + "epoch": 0.29, + "grad_norm": 2.179018444133653, + "learning_rate": 1.677603565900084e-05, + "loss": 0.8822, + "step": 12103 + }, + { + "epoch": 0.29, + "grad_norm": 1.7533661773748173, + "learning_rate": 1.6775474477999775e-05, + "loss": 0.9695, + "step": 12104 + }, + { + "epoch": 0.29, + "grad_norm": 2.008509169304168, + "learning_rate": 1.6774913257549753e-05, + "loss": 0.8203, + "step": 12105 + }, + { + "epoch": 0.29, + "grad_norm": 1.9657269970522908, + "learning_rate": 1.677435199765404e-05, + "loss": 0.8282, + "step": 12106 + }, + { + "epoch": 0.29, + "grad_norm": 1.9046154481391864, + "learning_rate": 1.6773790698315904e-05, + "loss": 0.9145, + "step": 12107 + }, + { + "epoch": 0.29, + "grad_norm": 1.4726416515920369, + "learning_rate": 1.6773229359538615e-05, + "loss": 1.0641, + "step": 12108 + }, + { + "epoch": 0.29, + "grad_norm": 1.5989849417906798, + "learning_rate": 1.677266798132544e-05, + "loss": 0.9467, + "step": 12109 + }, + { + "epoch": 0.29, + "grad_norm": 1.6305797335370829, + "learning_rate": 1.6772106563679652e-05, + "loss": 0.8047, + "step": 12110 + }, + { + "epoch": 0.29, + "grad_norm": 1.8789901008354555, + "learning_rate": 1.677154510660451e-05, + "loss": 0.9507, + "step": 12111 + }, + { + "epoch": 0.29, + "grad_norm": 1.7087077680067277, + "learning_rate": 1.677098361010329e-05, + "loss": 0.9321, + "step": 12112 + }, + { + "epoch": 0.29, + "grad_norm": 1.6245033208333588, + "learning_rate": 1.677042207417926e-05, + "loss": 0.8337, + "step": 12113 + }, + { + "epoch": 0.29, + "grad_norm": 2.0861704392464477, + "learning_rate": 1.676986049883569e-05, + "loss": 0.8713, + "step": 12114 + }, + { + "epoch": 0.29, + "grad_norm": 1.5559999931229478, + "learning_rate": 1.676929888407585e-05, + "loss": 0.9811, + "step": 12115 + }, + { + "epoch": 0.29, + "grad_norm": 1.7788298332957857, + "learning_rate": 1.6768737229903006e-05, + "loss": 0.8652, + "step": 12116 + }, + { + "epoch": 0.29, + "grad_norm": 1.7310375239800375, + "learning_rate": 1.6768175536320433e-05, + "loss": 0.9742, + "step": 12117 + }, + { + "epoch": 0.29, + "grad_norm": 1.687911955457781, + "learning_rate": 1.67676138033314e-05, + "loss": 0.8578, + "step": 12118 + }, + { + "epoch": 0.29, + "grad_norm": 1.9241766580632238, + "learning_rate": 1.6767052030939176e-05, + "loss": 0.9828, + "step": 12119 + }, + { + "epoch": 0.29, + "grad_norm": 1.8210837379813571, + "learning_rate": 1.676649021914703e-05, + "loss": 0.8899, + "step": 12120 + }, + { + "epoch": 0.29, + "grad_norm": 0.8266179346458793, + "learning_rate": 1.676592836795824e-05, + "loss": 0.761, + "step": 12121 + }, + { + "epoch": 0.29, + "grad_norm": 1.7521943065678918, + "learning_rate": 1.6765366477376067e-05, + "loss": 0.931, + "step": 12122 + }, + { + "epoch": 0.29, + "grad_norm": 1.6810450572288365, + "learning_rate": 1.6764804547403794e-05, + "loss": 1.0164, + "step": 12123 + }, + { + "epoch": 0.29, + "grad_norm": 2.0881655090465707, + "learning_rate": 1.6764242578044685e-05, + "loss": 0.9771, + "step": 12124 + }, + { + "epoch": 0.29, + "grad_norm": 0.840120166898804, + "learning_rate": 1.6763680569302013e-05, + "loss": 0.7018, + "step": 12125 + }, + { + "epoch": 0.29, + "grad_norm": 2.084788705612784, + "learning_rate": 1.6763118521179055e-05, + "loss": 0.8606, + "step": 12126 + }, + { + "epoch": 0.29, + "grad_norm": 1.7089786146952417, + "learning_rate": 1.6762556433679077e-05, + "loss": 0.8665, + "step": 12127 + }, + { + "epoch": 0.29, + "grad_norm": 1.6642982879796724, + "learning_rate": 1.6761994306805352e-05, + "loss": 0.9995, + "step": 12128 + }, + { + "epoch": 0.29, + "grad_norm": 1.7484918603713964, + "learning_rate": 1.676143214056116e-05, + "loss": 0.8172, + "step": 12129 + }, + { + "epoch": 0.29, + "grad_norm": 2.076751291994439, + "learning_rate": 1.676086993494977e-05, + "loss": 0.8749, + "step": 12130 + }, + { + "epoch": 0.29, + "grad_norm": 1.529647058915622, + "learning_rate": 1.676030768997445e-05, + "loss": 0.8599, + "step": 12131 + }, + { + "epoch": 0.29, + "grad_norm": 1.616544986292, + "learning_rate": 1.6759745405638483e-05, + "loss": 0.7398, + "step": 12132 + }, + { + "epoch": 0.29, + "grad_norm": 1.6861570760859006, + "learning_rate": 1.6759183081945132e-05, + "loss": 1.0307, + "step": 12133 + }, + { + "epoch": 0.29, + "grad_norm": 1.5774028665487227, + "learning_rate": 1.6758620718897686e-05, + "loss": 0.9331, + "step": 12134 + }, + { + "epoch": 0.29, + "grad_norm": 2.210057736562824, + "learning_rate": 1.6758058316499404e-05, + "loss": 0.8175, + "step": 12135 + }, + { + "epoch": 0.29, + "grad_norm": 0.784458488434124, + "learning_rate": 1.675749587475357e-05, + "loss": 0.8138, + "step": 12136 + }, + { + "epoch": 0.29, + "grad_norm": 1.7834373456057644, + "learning_rate": 1.6756933393663454e-05, + "loss": 0.9499, + "step": 12137 + }, + { + "epoch": 0.29, + "grad_norm": 1.822015964080425, + "learning_rate": 1.6756370873232333e-05, + "loss": 0.8173, + "step": 12138 + }, + { + "epoch": 0.29, + "grad_norm": 1.7345039250218726, + "learning_rate": 1.6755808313463483e-05, + "loss": 0.9035, + "step": 12139 + }, + { + "epoch": 0.29, + "grad_norm": 1.5994606425611946, + "learning_rate": 1.6755245714360176e-05, + "loss": 0.8773, + "step": 12140 + }, + { + "epoch": 0.29, + "grad_norm": 2.0041589416405596, + "learning_rate": 1.675468307592569e-05, + "loss": 0.761, + "step": 12141 + }, + { + "epoch": 0.29, + "grad_norm": 2.321829587968344, + "learning_rate": 1.67541203981633e-05, + "loss": 0.9192, + "step": 12142 + }, + { + "epoch": 0.29, + "grad_norm": 1.4119262645429393, + "learning_rate": 1.6753557681076283e-05, + "loss": 0.8508, + "step": 12143 + }, + { + "epoch": 0.29, + "grad_norm": 1.6164565770717425, + "learning_rate": 1.675299492466792e-05, + "loss": 0.8657, + "step": 12144 + }, + { + "epoch": 0.29, + "grad_norm": 1.5609053779149802, + "learning_rate": 1.6752432128941478e-05, + "loss": 0.8392, + "step": 12145 + }, + { + "epoch": 0.29, + "grad_norm": 1.5584484179504128, + "learning_rate": 1.675186929390024e-05, + "loss": 0.9377, + "step": 12146 + }, + { + "epoch": 0.29, + "grad_norm": 1.6403155738420643, + "learning_rate": 1.6751306419547477e-05, + "loss": 0.8465, + "step": 12147 + }, + { + "epoch": 0.29, + "grad_norm": 1.9983518320603546, + "learning_rate": 1.6750743505886477e-05, + "loss": 0.9305, + "step": 12148 + }, + { + "epoch": 0.29, + "grad_norm": 1.64933580327383, + "learning_rate": 1.6750180552920505e-05, + "loss": 0.9025, + "step": 12149 + }, + { + "epoch": 0.29, + "grad_norm": 1.5881623972916037, + "learning_rate": 1.674961756065285e-05, + "loss": 0.8205, + "step": 12150 + }, + { + "epoch": 0.29, + "grad_norm": 1.8367942528765582, + "learning_rate": 1.674905452908678e-05, + "loss": 0.9311, + "step": 12151 + }, + { + "epoch": 0.29, + "grad_norm": 1.666641151845576, + "learning_rate": 1.6748491458225583e-05, + "loss": 0.9506, + "step": 12152 + }, + { + "epoch": 0.29, + "grad_norm": 1.6777519100362814, + "learning_rate": 1.674792834807253e-05, + "loss": 0.8885, + "step": 12153 + }, + { + "epoch": 0.29, + "grad_norm": 1.6113348533749987, + "learning_rate": 1.67473651986309e-05, + "loss": 1.0026, + "step": 12154 + }, + { + "epoch": 0.29, + "grad_norm": 2.2823353391240704, + "learning_rate": 1.6746802009903973e-05, + "loss": 0.8203, + "step": 12155 + }, + { + "epoch": 0.29, + "grad_norm": 1.5753867272467543, + "learning_rate": 1.674623878189503e-05, + "loss": 0.9068, + "step": 12156 + }, + { + "epoch": 0.29, + "grad_norm": 1.6497852301373186, + "learning_rate": 1.6745675514607352e-05, + "loss": 0.8995, + "step": 12157 + }, + { + "epoch": 0.29, + "grad_norm": 1.8378951667923098, + "learning_rate": 1.674511220804421e-05, + "loss": 0.9481, + "step": 12158 + }, + { + "epoch": 0.29, + "grad_norm": 0.8090166756785467, + "learning_rate": 1.674454886220889e-05, + "loss": 0.7426, + "step": 12159 + }, + { + "epoch": 0.29, + "grad_norm": 1.527107917163093, + "learning_rate": 1.6743985477104674e-05, + "loss": 0.838, + "step": 12160 + }, + { + "epoch": 0.29, + "grad_norm": 1.8460183229425031, + "learning_rate": 1.674342205273484e-05, + "loss": 0.9113, + "step": 12161 + }, + { + "epoch": 0.29, + "grad_norm": 1.8351275469964452, + "learning_rate": 1.6742858589102667e-05, + "loss": 0.7911, + "step": 12162 + }, + { + "epoch": 0.29, + "grad_norm": 1.6413491391224464, + "learning_rate": 1.6742295086211437e-05, + "loss": 0.9077, + "step": 12163 + }, + { + "epoch": 0.29, + "grad_norm": 1.8271721310368887, + "learning_rate": 1.674173154406443e-05, + "loss": 0.9921, + "step": 12164 + }, + { + "epoch": 0.29, + "grad_norm": 2.4418028660718507, + "learning_rate": 1.6741167962664926e-05, + "loss": 0.9529, + "step": 12165 + }, + { + "epoch": 0.29, + "grad_norm": 1.7032142658180354, + "learning_rate": 1.674060434201621e-05, + "loss": 1.0048, + "step": 12166 + }, + { + "epoch": 0.29, + "grad_norm": 1.5846264727040846, + "learning_rate": 1.674004068212156e-05, + "loss": 0.921, + "step": 12167 + }, + { + "epoch": 0.29, + "grad_norm": 1.694832108765549, + "learning_rate": 1.6739476982984262e-05, + "loss": 0.8191, + "step": 12168 + }, + { + "epoch": 0.29, + "grad_norm": 1.9690399925512339, + "learning_rate": 1.6738913244607596e-05, + "loss": 0.8237, + "step": 12169 + }, + { + "epoch": 0.29, + "grad_norm": 1.7428082487825272, + "learning_rate": 1.6738349466994837e-05, + "loss": 0.9667, + "step": 12170 + }, + { + "epoch": 0.29, + "grad_norm": 1.5451265020904041, + "learning_rate": 1.673778565014928e-05, + "loss": 0.9163, + "step": 12171 + }, + { + "epoch": 0.29, + "grad_norm": 1.9022869335023378, + "learning_rate": 1.6737221794074198e-05, + "loss": 0.8417, + "step": 12172 + }, + { + "epoch": 0.29, + "grad_norm": 0.7762526395965342, + "learning_rate": 1.673665789877288e-05, + "loss": 0.7331, + "step": 12173 + }, + { + "epoch": 0.29, + "grad_norm": 1.8382672379496612, + "learning_rate": 1.6736093964248607e-05, + "loss": 1.0269, + "step": 12174 + }, + { + "epoch": 0.29, + "grad_norm": 1.67148565099998, + "learning_rate": 1.673552999050466e-05, + "loss": 0.881, + "step": 12175 + }, + { + "epoch": 0.29, + "grad_norm": 2.397806401015637, + "learning_rate": 1.673496597754433e-05, + "loss": 0.8278, + "step": 12176 + }, + { + "epoch": 0.29, + "grad_norm": 1.6899164368514699, + "learning_rate": 1.673440192537089e-05, + "loss": 0.8748, + "step": 12177 + }, + { + "epoch": 0.29, + "grad_norm": 1.6126227141547906, + "learning_rate": 1.6733837833987634e-05, + "loss": 0.8675, + "step": 12178 + }, + { + "epoch": 0.29, + "grad_norm": 2.590075726023872, + "learning_rate": 1.6733273703397837e-05, + "loss": 0.8853, + "step": 12179 + }, + { + "epoch": 0.29, + "grad_norm": 1.6388584561499524, + "learning_rate": 1.6732709533604795e-05, + "loss": 0.8153, + "step": 12180 + }, + { + "epoch": 0.29, + "grad_norm": 1.7386396255141179, + "learning_rate": 1.6732145324611782e-05, + "loss": 1.015, + "step": 12181 + }, + { + "epoch": 0.29, + "grad_norm": 1.5836815003004827, + "learning_rate": 1.6731581076422093e-05, + "loss": 0.8938, + "step": 12182 + }, + { + "epoch": 0.29, + "grad_norm": 1.8083329867565539, + "learning_rate": 1.6731016789039004e-05, + "loss": 0.8738, + "step": 12183 + }, + { + "epoch": 0.29, + "grad_norm": 1.7253086142697782, + "learning_rate": 1.6730452462465804e-05, + "loss": 0.9699, + "step": 12184 + }, + { + "epoch": 0.29, + "grad_norm": 1.539157268562032, + "learning_rate": 1.672988809670578e-05, + "loss": 0.8994, + "step": 12185 + }, + { + "epoch": 0.29, + "grad_norm": 1.911845262125024, + "learning_rate": 1.6729323691762215e-05, + "loss": 0.9144, + "step": 12186 + }, + { + "epoch": 0.29, + "grad_norm": 2.307513678875182, + "learning_rate": 1.6728759247638403e-05, + "loss": 1.0184, + "step": 12187 + }, + { + "epoch": 0.29, + "grad_norm": 1.3732074325557118, + "learning_rate": 1.6728194764337616e-05, + "loss": 0.7939, + "step": 12188 + }, + { + "epoch": 0.29, + "grad_norm": 0.7672123626003609, + "learning_rate": 1.6727630241863154e-05, + "loss": 0.7142, + "step": 12189 + }, + { + "epoch": 0.29, + "grad_norm": 1.6831646914848786, + "learning_rate": 1.6727065680218298e-05, + "loss": 0.8365, + "step": 12190 + }, + { + "epoch": 0.29, + "grad_norm": 1.8590114813478344, + "learning_rate": 1.6726501079406333e-05, + "loss": 0.9574, + "step": 12191 + }, + { + "epoch": 0.29, + "grad_norm": 1.8890531818483094, + "learning_rate": 1.6725936439430556e-05, + "loss": 0.9694, + "step": 12192 + }, + { + "epoch": 0.29, + "grad_norm": 1.709951148728141, + "learning_rate": 1.672537176029424e-05, + "loss": 1.0271, + "step": 12193 + }, + { + "epoch": 0.29, + "grad_norm": 0.7717054653670089, + "learning_rate": 1.6724807042000683e-05, + "loss": 0.7312, + "step": 12194 + }, + { + "epoch": 0.29, + "grad_norm": 0.7692635953143021, + "learning_rate": 1.6724242284553173e-05, + "loss": 0.7686, + "step": 12195 + }, + { + "epoch": 0.29, + "grad_norm": 1.707284662808486, + "learning_rate": 1.6723677487954994e-05, + "loss": 0.8104, + "step": 12196 + }, + { + "epoch": 0.29, + "grad_norm": 1.8201775811496401, + "learning_rate": 1.6723112652209435e-05, + "loss": 0.8345, + "step": 12197 + }, + { + "epoch": 0.29, + "grad_norm": 1.8422120693794468, + "learning_rate": 1.6722547777319788e-05, + "loss": 1.0803, + "step": 12198 + }, + { + "epoch": 0.29, + "grad_norm": 1.9902740230123044, + "learning_rate": 1.6721982863289337e-05, + "loss": 0.8451, + "step": 12199 + }, + { + "epoch": 0.29, + "grad_norm": 1.9275162040683491, + "learning_rate": 1.6721417910121373e-05, + "loss": 0.793, + "step": 12200 + }, + { + "epoch": 0.29, + "grad_norm": 1.8698808682269792, + "learning_rate": 1.672085291781919e-05, + "loss": 0.9471, + "step": 12201 + }, + { + "epoch": 0.29, + "grad_norm": 1.8060056000803537, + "learning_rate": 1.6720287886386065e-05, + "loss": 0.8978, + "step": 12202 + }, + { + "epoch": 0.29, + "grad_norm": 1.5594995453639005, + "learning_rate": 1.6719722815825304e-05, + "loss": 0.9585, + "step": 12203 + }, + { + "epoch": 0.29, + "grad_norm": 2.26632461852345, + "learning_rate": 1.6719157706140187e-05, + "loss": 0.9207, + "step": 12204 + }, + { + "epoch": 0.29, + "grad_norm": 2.1293797245901667, + "learning_rate": 1.671859255733401e-05, + "loss": 0.8914, + "step": 12205 + }, + { + "epoch": 0.29, + "grad_norm": 2.0022078535797516, + "learning_rate": 1.6718027369410057e-05, + "loss": 0.7809, + "step": 12206 + }, + { + "epoch": 0.29, + "grad_norm": 1.5206307658815879, + "learning_rate": 1.6717462142371622e-05, + "loss": 0.8409, + "step": 12207 + }, + { + "epoch": 0.29, + "grad_norm": 1.5406809911566528, + "learning_rate": 1.6716896876221996e-05, + "loss": 0.9265, + "step": 12208 + }, + { + "epoch": 0.29, + "grad_norm": 1.568422139717541, + "learning_rate": 1.6716331570964465e-05, + "loss": 0.8889, + "step": 12209 + }, + { + "epoch": 0.29, + "grad_norm": 1.5251274211123274, + "learning_rate": 1.6715766226602334e-05, + "loss": 1.0001, + "step": 12210 + }, + { + "epoch": 0.29, + "grad_norm": 1.7925874700520106, + "learning_rate": 1.671520084313888e-05, + "loss": 0.8464, + "step": 12211 + }, + { + "epoch": 0.29, + "grad_norm": 1.9092642788549528, + "learning_rate": 1.6714635420577405e-05, + "loss": 0.9288, + "step": 12212 + }, + { + "epoch": 0.29, + "grad_norm": 1.7281647398614608, + "learning_rate": 1.6714069958921193e-05, + "loss": 0.9314, + "step": 12213 + }, + { + "epoch": 0.29, + "grad_norm": 1.6334876442546635, + "learning_rate": 1.6713504458173538e-05, + "loss": 0.8306, + "step": 12214 + }, + { + "epoch": 0.29, + "grad_norm": 1.7079482274338498, + "learning_rate": 1.671293891833774e-05, + "loss": 0.8822, + "step": 12215 + }, + { + "epoch": 0.29, + "grad_norm": 1.7325062751202407, + "learning_rate": 1.6712373339417082e-05, + "loss": 0.9231, + "step": 12216 + }, + { + "epoch": 0.29, + "grad_norm": 1.9959321324322807, + "learning_rate": 1.6711807721414865e-05, + "loss": 0.8938, + "step": 12217 + }, + { + "epoch": 0.29, + "grad_norm": 1.7868623516545794, + "learning_rate": 1.6711242064334377e-05, + "loss": 0.9871, + "step": 12218 + }, + { + "epoch": 0.29, + "grad_norm": 1.5337025477427622, + "learning_rate": 1.6710676368178913e-05, + "loss": 0.8855, + "step": 12219 + }, + { + "epoch": 0.29, + "grad_norm": 0.732656145498076, + "learning_rate": 1.6710110632951765e-05, + "loss": 0.7739, + "step": 12220 + }, + { + "epoch": 0.29, + "grad_norm": 1.8750496210794094, + "learning_rate": 1.6709544858656232e-05, + "loss": 0.9248, + "step": 12221 + }, + { + "epoch": 0.29, + "grad_norm": 1.6113848564608044, + "learning_rate": 1.67089790452956e-05, + "loss": 0.8885, + "step": 12222 + }, + { + "epoch": 0.29, + "grad_norm": 2.379260451135479, + "learning_rate": 1.670841319287317e-05, + "loss": 0.9252, + "step": 12223 + }, + { + "epoch": 0.29, + "grad_norm": 1.8943207397854485, + "learning_rate": 1.6707847301392237e-05, + "loss": 1.0494, + "step": 12224 + }, + { + "epoch": 0.29, + "grad_norm": 1.7446486497389646, + "learning_rate": 1.670728137085609e-05, + "loss": 0.8869, + "step": 12225 + }, + { + "epoch": 0.29, + "grad_norm": 1.669502953584017, + "learning_rate": 1.670671540126803e-05, + "loss": 0.9199, + "step": 12226 + }, + { + "epoch": 0.29, + "grad_norm": 2.05287157908762, + "learning_rate": 1.670614939263135e-05, + "loss": 0.8999, + "step": 12227 + }, + { + "epoch": 0.29, + "grad_norm": 1.6909647957171001, + "learning_rate": 1.670558334494934e-05, + "loss": 0.8032, + "step": 12228 + }, + { + "epoch": 0.29, + "grad_norm": 0.7775839311822306, + "learning_rate": 1.6705017258225306e-05, + "loss": 0.7236, + "step": 12229 + }, + { + "epoch": 0.29, + "grad_norm": 0.7493131864286027, + "learning_rate": 1.6704451132462534e-05, + "loss": 0.7561, + "step": 12230 + }, + { + "epoch": 0.29, + "grad_norm": 1.6701024053753322, + "learning_rate": 1.670388496766433e-05, + "loss": 0.801, + "step": 12231 + }, + { + "epoch": 0.29, + "grad_norm": 1.8037260554270789, + "learning_rate": 1.6703318763833985e-05, + "loss": 0.7923, + "step": 12232 + }, + { + "epoch": 0.29, + "grad_norm": 1.669883109902486, + "learning_rate": 1.670275252097479e-05, + "loss": 0.8292, + "step": 12233 + }, + { + "epoch": 0.29, + "grad_norm": 1.3779884142065795, + "learning_rate": 1.6702186239090058e-05, + "loss": 0.8572, + "step": 12234 + }, + { + "epoch": 0.29, + "grad_norm": 2.5118176745204672, + "learning_rate": 1.6701619918183066e-05, + "loss": 0.807, + "step": 12235 + }, + { + "epoch": 0.29, + "grad_norm": 1.6364504410292038, + "learning_rate": 1.6701053558257125e-05, + "loss": 0.7506, + "step": 12236 + }, + { + "epoch": 0.29, + "grad_norm": 1.778540625965692, + "learning_rate": 1.670048715931553e-05, + "loss": 0.9124, + "step": 12237 + }, + { + "epoch": 0.29, + "grad_norm": 1.7695970815628368, + "learning_rate": 1.6699920721361576e-05, + "loss": 0.873, + "step": 12238 + }, + { + "epoch": 0.29, + "grad_norm": 1.7118783256912948, + "learning_rate": 1.669935424439856e-05, + "loss": 0.8509, + "step": 12239 + }, + { + "epoch": 0.29, + "grad_norm": 1.568225321523873, + "learning_rate": 1.6698787728429786e-05, + "loss": 0.9628, + "step": 12240 + }, + { + "epoch": 0.29, + "grad_norm": 1.8214935628966862, + "learning_rate": 1.6698221173458547e-05, + "loss": 0.9508, + "step": 12241 + }, + { + "epoch": 0.29, + "grad_norm": 1.357107152748715, + "learning_rate": 1.6697654579488147e-05, + "loss": 0.9354, + "step": 12242 + }, + { + "epoch": 0.29, + "grad_norm": 2.099712591711463, + "learning_rate": 1.669708794652188e-05, + "loss": 0.9586, + "step": 12243 + }, + { + "epoch": 0.29, + "grad_norm": 1.4923506075047415, + "learning_rate": 1.6696521274563046e-05, + "loss": 0.935, + "step": 12244 + }, + { + "epoch": 0.29, + "grad_norm": 1.6558292014337364, + "learning_rate": 1.6695954563614945e-05, + "loss": 0.9342, + "step": 12245 + }, + { + "epoch": 0.29, + "grad_norm": 1.4161736339345727, + "learning_rate": 1.6695387813680873e-05, + "loss": 0.9898, + "step": 12246 + }, + { + "epoch": 0.29, + "grad_norm": 1.578176725029422, + "learning_rate": 1.6694821024764142e-05, + "loss": 0.9507, + "step": 12247 + }, + { + "epoch": 0.29, + "grad_norm": 1.5798493606958028, + "learning_rate": 1.6694254196868036e-05, + "loss": 0.8018, + "step": 12248 + }, + { + "epoch": 0.29, + "grad_norm": 1.5992636709679737, + "learning_rate": 1.6693687329995864e-05, + "loss": 1.0479, + "step": 12249 + }, + { + "epoch": 0.29, + "grad_norm": 0.8119488289879347, + "learning_rate": 1.669312042415093e-05, + "loss": 0.7321, + "step": 12250 + }, + { + "epoch": 0.29, + "grad_norm": 1.4239673768595857, + "learning_rate": 1.6692553479336522e-05, + "loss": 0.8838, + "step": 12251 + }, + { + "epoch": 0.29, + "grad_norm": 1.734874791350191, + "learning_rate": 1.6691986495555955e-05, + "loss": 0.9081, + "step": 12252 + }, + { + "epoch": 0.29, + "grad_norm": 1.8654154396301834, + "learning_rate": 1.6691419472812523e-05, + "loss": 0.9531, + "step": 12253 + }, + { + "epoch": 0.29, + "grad_norm": 1.8046171747766437, + "learning_rate": 1.669085241110953e-05, + "loss": 0.7887, + "step": 12254 + }, + { + "epoch": 0.29, + "grad_norm": 1.5715258928765696, + "learning_rate": 1.669028531045027e-05, + "loss": 0.8028, + "step": 12255 + }, + { + "epoch": 0.29, + "grad_norm": 1.5744562749853817, + "learning_rate": 1.6689718170838058e-05, + "loss": 1.0136, + "step": 12256 + }, + { + "epoch": 0.29, + "grad_norm": 1.5472922858812632, + "learning_rate": 1.6689150992276183e-05, + "loss": 0.9597, + "step": 12257 + }, + { + "epoch": 0.29, + "grad_norm": 1.5469401139946641, + "learning_rate": 1.6688583774767954e-05, + "loss": 0.8696, + "step": 12258 + }, + { + "epoch": 0.29, + "grad_norm": 1.666617530135532, + "learning_rate": 1.6688016518316676e-05, + "loss": 0.9394, + "step": 12259 + }, + { + "epoch": 0.29, + "grad_norm": 1.7011088428271393, + "learning_rate": 1.6687449222925644e-05, + "loss": 0.8714, + "step": 12260 + }, + { + "epoch": 0.29, + "grad_norm": 1.8769095071972701, + "learning_rate": 1.668688188859817e-05, + "loss": 0.8834, + "step": 12261 + }, + { + "epoch": 0.29, + "grad_norm": 0.7839522581055267, + "learning_rate": 1.668631451533755e-05, + "loss": 0.7527, + "step": 12262 + }, + { + "epoch": 0.29, + "grad_norm": 5.660715825154198, + "learning_rate": 1.668574710314709e-05, + "loss": 0.8473, + "step": 12263 + }, + { + "epoch": 0.29, + "grad_norm": 0.7819216528854769, + "learning_rate": 1.6685179652030096e-05, + "loss": 0.7558, + "step": 12264 + }, + { + "epoch": 0.29, + "grad_norm": 0.7519906666289344, + "learning_rate": 1.6684612161989866e-05, + "loss": 0.7519, + "step": 12265 + }, + { + "epoch": 0.29, + "grad_norm": 1.6014410970921857, + "learning_rate": 1.668404463302971e-05, + "loss": 0.8583, + "step": 12266 + }, + { + "epoch": 0.29, + "grad_norm": 0.7582936920829766, + "learning_rate": 1.6683477065152928e-05, + "loss": 0.7893, + "step": 12267 + }, + { + "epoch": 0.29, + "grad_norm": 1.9225030505899916, + "learning_rate": 1.668290945836283e-05, + "loss": 1.0459, + "step": 12268 + }, + { + "epoch": 0.29, + "grad_norm": 2.2207496979664394, + "learning_rate": 1.6682341812662715e-05, + "loss": 0.9435, + "step": 12269 + }, + { + "epoch": 0.29, + "grad_norm": 1.8646621386945001, + "learning_rate": 1.6681774128055893e-05, + "loss": 0.8616, + "step": 12270 + }, + { + "epoch": 0.29, + "grad_norm": 1.684157281910385, + "learning_rate": 1.6681206404545665e-05, + "loss": 0.9558, + "step": 12271 + }, + { + "epoch": 0.29, + "grad_norm": 1.627757204331449, + "learning_rate": 1.6680638642135337e-05, + "loss": 0.9955, + "step": 12272 + }, + { + "epoch": 0.29, + "grad_norm": 1.723455592431574, + "learning_rate": 1.6680070840828215e-05, + "loss": 0.8891, + "step": 12273 + }, + { + "epoch": 0.29, + "grad_norm": 1.4599873012136697, + "learning_rate": 1.6679503000627607e-05, + "loss": 0.8658, + "step": 12274 + }, + { + "epoch": 0.29, + "grad_norm": 1.4682776481882587, + "learning_rate": 1.6678935121536817e-05, + "loss": 0.8566, + "step": 12275 + }, + { + "epoch": 0.29, + "grad_norm": 1.9400572814199228, + "learning_rate": 1.6678367203559154e-05, + "loss": 0.863, + "step": 12276 + }, + { + "epoch": 0.29, + "grad_norm": 1.9335789225351774, + "learning_rate": 1.6677799246697924e-05, + "loss": 0.9213, + "step": 12277 + }, + { + "epoch": 0.29, + "grad_norm": 1.8849549836134487, + "learning_rate": 1.667723125095643e-05, + "loss": 0.9934, + "step": 12278 + }, + { + "epoch": 0.29, + "grad_norm": 1.766935439761052, + "learning_rate": 1.667666321633798e-05, + "loss": 0.8688, + "step": 12279 + }, + { + "epoch": 0.29, + "grad_norm": 1.4438720996519214, + "learning_rate": 1.6676095142845883e-05, + "loss": 0.8699, + "step": 12280 + }, + { + "epoch": 0.29, + "grad_norm": 1.728291103630508, + "learning_rate": 1.6675527030483452e-05, + "loss": 1.0034, + "step": 12281 + }, + { + "epoch": 0.29, + "grad_norm": 1.8809251011715278, + "learning_rate": 1.6674958879253986e-05, + "loss": 0.941, + "step": 12282 + }, + { + "epoch": 0.29, + "grad_norm": 1.6794413028878576, + "learning_rate": 1.6674390689160795e-05, + "loss": 1.0009, + "step": 12283 + }, + { + "epoch": 0.29, + "grad_norm": 1.6543983039364842, + "learning_rate": 1.667382246020719e-05, + "loss": 0.9173, + "step": 12284 + }, + { + "epoch": 0.29, + "grad_norm": 1.7860959328125816, + "learning_rate": 1.667325419239648e-05, + "loss": 0.9201, + "step": 12285 + }, + { + "epoch": 0.29, + "grad_norm": 2.206627340749698, + "learning_rate": 1.6672685885731964e-05, + "loss": 0.9139, + "step": 12286 + }, + { + "epoch": 0.29, + "grad_norm": 1.5783713629501168, + "learning_rate": 1.6672117540216962e-05, + "loss": 0.8396, + "step": 12287 + }, + { + "epoch": 0.29, + "grad_norm": 1.716399418345919, + "learning_rate": 1.6671549155854783e-05, + "loss": 0.9156, + "step": 12288 + }, + { + "epoch": 0.29, + "grad_norm": 1.6903218991008275, + "learning_rate": 1.6670980732648726e-05, + "loss": 0.7826, + "step": 12289 + }, + { + "epoch": 0.29, + "grad_norm": 2.1336144370961314, + "learning_rate": 1.6670412270602115e-05, + "loss": 1.0281, + "step": 12290 + }, + { + "epoch": 0.29, + "grad_norm": 1.7279165073206113, + "learning_rate": 1.6669843769718245e-05, + "loss": 1.0206, + "step": 12291 + }, + { + "epoch": 0.29, + "grad_norm": 1.8822676876190743, + "learning_rate": 1.6669275230000438e-05, + "loss": 0.8305, + "step": 12292 + }, + { + "epoch": 0.29, + "grad_norm": 1.6117625969653189, + "learning_rate": 1.6668706651451994e-05, + "loss": 0.8035, + "step": 12293 + }, + { + "epoch": 0.29, + "grad_norm": 1.7937566841552137, + "learning_rate": 1.6668138034076235e-05, + "loss": 0.9185, + "step": 12294 + }, + { + "epoch": 0.29, + "grad_norm": 1.4710250547425299, + "learning_rate": 1.666756937787646e-05, + "loss": 0.8532, + "step": 12295 + }, + { + "epoch": 0.29, + "grad_norm": 1.7022814553019228, + "learning_rate": 1.6667000682855988e-05, + "loss": 0.9504, + "step": 12296 + }, + { + "epoch": 0.29, + "grad_norm": 1.8402156453337422, + "learning_rate": 1.666643194901812e-05, + "loss": 0.9303, + "step": 12297 + }, + { + "epoch": 0.29, + "grad_norm": 1.5704857606435816, + "learning_rate": 1.6665863176366186e-05, + "loss": 0.9642, + "step": 12298 + }, + { + "epoch": 0.29, + "grad_norm": 1.6253123861433203, + "learning_rate": 1.6665294364903482e-05, + "loss": 0.8874, + "step": 12299 + }, + { + "epoch": 0.29, + "grad_norm": 1.9581402793866538, + "learning_rate": 1.666472551463332e-05, + "loss": 0.8924, + "step": 12300 + }, + { + "epoch": 0.29, + "grad_norm": 1.6892515049267898, + "learning_rate": 1.666415662555902e-05, + "loss": 0.9902, + "step": 12301 + }, + { + "epoch": 0.29, + "grad_norm": 1.5766855568536504, + "learning_rate": 1.666358769768389e-05, + "loss": 0.8887, + "step": 12302 + }, + { + "epoch": 0.29, + "grad_norm": 1.7577192453145378, + "learning_rate": 1.666301873101124e-05, + "loss": 0.8587, + "step": 12303 + }, + { + "epoch": 0.29, + "grad_norm": 1.6552417157799173, + "learning_rate": 1.6662449725544386e-05, + "loss": 0.7826, + "step": 12304 + }, + { + "epoch": 0.29, + "grad_norm": 1.8785490603078208, + "learning_rate": 1.6661880681286647e-05, + "loss": 0.794, + "step": 12305 + }, + { + "epoch": 0.29, + "grad_norm": 1.8908194295900622, + "learning_rate": 1.6661311598241325e-05, + "loss": 0.8863, + "step": 12306 + }, + { + "epoch": 0.29, + "grad_norm": 2.3980117405735806, + "learning_rate": 1.6660742476411736e-05, + "loss": 0.9378, + "step": 12307 + }, + { + "epoch": 0.29, + "grad_norm": 1.58416023227016, + "learning_rate": 1.6660173315801194e-05, + "loss": 0.822, + "step": 12308 + }, + { + "epoch": 0.29, + "grad_norm": 1.8644591582627947, + "learning_rate": 1.6659604116413016e-05, + "loss": 0.9413, + "step": 12309 + }, + { + "epoch": 0.29, + "grad_norm": 1.5331017093920953, + "learning_rate": 1.665903487825052e-05, + "loss": 0.9194, + "step": 12310 + }, + { + "epoch": 0.29, + "grad_norm": 1.4799170126505596, + "learning_rate": 1.6658465601317008e-05, + "loss": 0.844, + "step": 12311 + }, + { + "epoch": 0.29, + "grad_norm": 1.9319909566254545, + "learning_rate": 1.6657896285615804e-05, + "loss": 0.9935, + "step": 12312 + }, + { + "epoch": 0.29, + "grad_norm": 2.070700103114267, + "learning_rate": 1.6657326931150222e-05, + "loss": 0.8953, + "step": 12313 + }, + { + "epoch": 0.29, + "grad_norm": 1.6172336293419107, + "learning_rate": 1.6656757537923572e-05, + "loss": 0.9716, + "step": 12314 + }, + { + "epoch": 0.29, + "grad_norm": 1.6310794910024244, + "learning_rate": 1.6656188105939172e-05, + "loss": 0.9302, + "step": 12315 + }, + { + "epoch": 0.29, + "grad_norm": 1.8971320299818641, + "learning_rate": 1.665561863520034e-05, + "loss": 0.9151, + "step": 12316 + }, + { + "epoch": 0.29, + "grad_norm": 1.736470191149903, + "learning_rate": 1.665504912571039e-05, + "loss": 0.9484, + "step": 12317 + }, + { + "epoch": 0.29, + "grad_norm": 1.6279318956950544, + "learning_rate": 1.665447957747263e-05, + "loss": 0.9467, + "step": 12318 + }, + { + "epoch": 0.29, + "grad_norm": 1.9334966897235022, + "learning_rate": 1.665390999049039e-05, + "loss": 0.958, + "step": 12319 + }, + { + "epoch": 0.29, + "grad_norm": 1.7719169144365599, + "learning_rate": 1.6653340364766978e-05, + "loss": 0.9212, + "step": 12320 + }, + { + "epoch": 0.29, + "grad_norm": 1.5125219834409933, + "learning_rate": 1.6652770700305708e-05, + "loss": 0.9738, + "step": 12321 + }, + { + "epoch": 0.29, + "grad_norm": 1.8087532685532643, + "learning_rate": 1.6652200997109906e-05, + "loss": 0.8755, + "step": 12322 + }, + { + "epoch": 0.29, + "grad_norm": 1.5968160585435691, + "learning_rate": 1.665163125518288e-05, + "loss": 1.012, + "step": 12323 + }, + { + "epoch": 0.29, + "grad_norm": 1.9473321589679378, + "learning_rate": 1.6651061474527953e-05, + "loss": 0.928, + "step": 12324 + }, + { + "epoch": 0.29, + "grad_norm": 1.5942480191405095, + "learning_rate": 1.665049165514844e-05, + "loss": 0.9122, + "step": 12325 + }, + { + "epoch": 0.29, + "grad_norm": 1.7380775131349784, + "learning_rate": 1.6649921797047658e-05, + "loss": 0.9767, + "step": 12326 + }, + { + "epoch": 0.29, + "grad_norm": 1.5727733898717682, + "learning_rate": 1.664935190022893e-05, + "loss": 0.9269, + "step": 12327 + }, + { + "epoch": 0.29, + "grad_norm": 1.6581584125942213, + "learning_rate": 1.6648781964695565e-05, + "loss": 0.8798, + "step": 12328 + }, + { + "epoch": 0.29, + "grad_norm": 2.085039497775422, + "learning_rate": 1.664821199045089e-05, + "loss": 0.8907, + "step": 12329 + }, + { + "epoch": 0.29, + "grad_norm": 1.7011905498675808, + "learning_rate": 1.6647641977498215e-05, + "loss": 0.8789, + "step": 12330 + }, + { + "epoch": 0.29, + "grad_norm": 1.7651592109264136, + "learning_rate": 1.6647071925840868e-05, + "loss": 0.8595, + "step": 12331 + }, + { + "epoch": 0.29, + "grad_norm": 0.7933733261228861, + "learning_rate": 1.6646501835482162e-05, + "loss": 0.7963, + "step": 12332 + }, + { + "epoch": 0.29, + "grad_norm": 1.507486813729768, + "learning_rate": 1.664593170642542e-05, + "loss": 0.8573, + "step": 12333 + }, + { + "epoch": 0.29, + "grad_norm": 1.6484609787838709, + "learning_rate": 1.6645361538673962e-05, + "loss": 0.854, + "step": 12334 + }, + { + "epoch": 0.29, + "grad_norm": 1.5813308269095445, + "learning_rate": 1.66447913322311e-05, + "loss": 1.0647, + "step": 12335 + }, + { + "epoch": 0.29, + "grad_norm": 2.1801038788545153, + "learning_rate": 1.6644221087100164e-05, + "loss": 0.937, + "step": 12336 + }, + { + "epoch": 0.29, + "grad_norm": 0.787563594581469, + "learning_rate": 1.6643650803284462e-05, + "loss": 0.7713, + "step": 12337 + }, + { + "epoch": 0.29, + "grad_norm": 1.7275017154735235, + "learning_rate": 1.6643080480787328e-05, + "loss": 0.8655, + "step": 12338 + }, + { + "epoch": 0.29, + "grad_norm": 2.065116485984859, + "learning_rate": 1.6642510119612073e-05, + "loss": 0.7833, + "step": 12339 + }, + { + "epoch": 0.29, + "grad_norm": 1.7060828246009705, + "learning_rate": 1.6641939719762023e-05, + "loss": 0.8046, + "step": 12340 + }, + { + "epoch": 0.29, + "grad_norm": 1.8453269440793627, + "learning_rate": 1.6641369281240497e-05, + "loss": 0.9786, + "step": 12341 + }, + { + "epoch": 0.29, + "grad_norm": 0.8012910752244902, + "learning_rate": 1.6640798804050816e-05, + "loss": 0.7556, + "step": 12342 + }, + { + "epoch": 0.29, + "grad_norm": 1.5308843744721088, + "learning_rate": 1.6640228288196303e-05, + "loss": 0.9296, + "step": 12343 + }, + { + "epoch": 0.29, + "grad_norm": 1.737642490652528, + "learning_rate": 1.6639657733680276e-05, + "loss": 0.8437, + "step": 12344 + }, + { + "epoch": 0.29, + "grad_norm": 1.698978431382576, + "learning_rate": 1.663908714050606e-05, + "loss": 0.9014, + "step": 12345 + }, + { + "epoch": 0.29, + "grad_norm": 1.610952920686975, + "learning_rate": 1.6638516508676977e-05, + "loss": 1.0385, + "step": 12346 + }, + { + "epoch": 0.29, + "grad_norm": 1.5209681413639942, + "learning_rate": 1.6637945838196356e-05, + "loss": 0.8812, + "step": 12347 + }, + { + "epoch": 0.29, + "grad_norm": 0.8091922010826214, + "learning_rate": 1.6637375129067502e-05, + "loss": 0.7622, + "step": 12348 + }, + { + "epoch": 0.29, + "grad_norm": 1.9585759600570634, + "learning_rate": 1.6636804381293755e-05, + "loss": 0.8998, + "step": 12349 + }, + { + "epoch": 0.29, + "grad_norm": 1.848051859640521, + "learning_rate": 1.6636233594878434e-05, + "loss": 0.9756, + "step": 12350 + }, + { + "epoch": 0.29, + "grad_norm": 1.9402208040483353, + "learning_rate": 1.6635662769824854e-05, + "loss": 0.9358, + "step": 12351 + }, + { + "epoch": 0.29, + "grad_norm": 2.0561839140256595, + "learning_rate": 1.6635091906136346e-05, + "loss": 0.9857, + "step": 12352 + }, + { + "epoch": 0.29, + "grad_norm": 1.7065791136982313, + "learning_rate": 1.6634521003816235e-05, + "loss": 0.9536, + "step": 12353 + }, + { + "epoch": 0.29, + "grad_norm": 0.8281716021758135, + "learning_rate": 1.663395006286784e-05, + "loss": 0.7957, + "step": 12354 + }, + { + "epoch": 0.29, + "grad_norm": 2.3297558036049972, + "learning_rate": 1.6633379083294487e-05, + "loss": 0.9298, + "step": 12355 + }, + { + "epoch": 0.29, + "grad_norm": 0.8159158647140275, + "learning_rate": 1.6632808065099503e-05, + "loss": 0.7684, + "step": 12356 + }, + { + "epoch": 0.29, + "grad_norm": 1.5707137784780996, + "learning_rate": 1.663223700828621e-05, + "loss": 0.8785, + "step": 12357 + }, + { + "epoch": 0.29, + "grad_norm": 1.6814034805454174, + "learning_rate": 1.663166591285793e-05, + "loss": 0.9133, + "step": 12358 + }, + { + "epoch": 0.29, + "grad_norm": 2.4503937763600603, + "learning_rate": 1.6631094778817997e-05, + "loss": 0.781, + "step": 12359 + }, + { + "epoch": 0.29, + "grad_norm": 2.194924135819242, + "learning_rate": 1.6630523606169726e-05, + "loss": 0.9546, + "step": 12360 + }, + { + "epoch": 0.29, + "grad_norm": 1.5253818454051704, + "learning_rate": 1.6629952394916447e-05, + "loss": 0.8996, + "step": 12361 + }, + { + "epoch": 0.29, + "grad_norm": 1.4668536798250065, + "learning_rate": 1.6629381145061492e-05, + "loss": 0.9968, + "step": 12362 + }, + { + "epoch": 0.29, + "grad_norm": 1.5603568359883468, + "learning_rate": 1.6628809856608177e-05, + "loss": 0.9087, + "step": 12363 + }, + { + "epoch": 0.29, + "grad_norm": 1.7071356459116276, + "learning_rate": 1.6628238529559834e-05, + "loss": 0.9637, + "step": 12364 + }, + { + "epoch": 0.29, + "grad_norm": 2.173739605641109, + "learning_rate": 1.6627667163919788e-05, + "loss": 0.8942, + "step": 12365 + }, + { + "epoch": 0.29, + "grad_norm": 1.5016821938104739, + "learning_rate": 1.6627095759691364e-05, + "loss": 0.959, + "step": 12366 + }, + { + "epoch": 0.29, + "grad_norm": 1.6556425408708844, + "learning_rate": 1.662652431687789e-05, + "loss": 0.9674, + "step": 12367 + }, + { + "epoch": 0.29, + "grad_norm": 1.3935317380399856, + "learning_rate": 1.6625952835482696e-05, + "loss": 1.0093, + "step": 12368 + }, + { + "epoch": 0.29, + "grad_norm": 1.5679124163019151, + "learning_rate": 1.6625381315509103e-05, + "loss": 0.9, + "step": 12369 + }, + { + "epoch": 0.29, + "grad_norm": 1.7268788148723457, + "learning_rate": 1.6624809756960445e-05, + "loss": 0.9095, + "step": 12370 + }, + { + "epoch": 0.29, + "grad_norm": 1.8919170102582898, + "learning_rate": 1.6624238159840043e-05, + "loss": 0.936, + "step": 12371 + }, + { + "epoch": 0.29, + "grad_norm": 4.52140468160026, + "learning_rate": 1.6623666524151233e-05, + "loss": 1.0062, + "step": 12372 + }, + { + "epoch": 0.29, + "grad_norm": 1.673129431360089, + "learning_rate": 1.6623094849897342e-05, + "loss": 0.8764, + "step": 12373 + }, + { + "epoch": 0.29, + "grad_norm": 1.721181444416572, + "learning_rate": 1.6622523137081693e-05, + "loss": 0.8416, + "step": 12374 + }, + { + "epoch": 0.29, + "grad_norm": 1.70022299736537, + "learning_rate": 1.6621951385707617e-05, + "loss": 0.9386, + "step": 12375 + }, + { + "epoch": 0.29, + "grad_norm": 0.7811153066649196, + "learning_rate": 1.6621379595778444e-05, + "loss": 0.7529, + "step": 12376 + }, + { + "epoch": 0.29, + "grad_norm": 2.1186814244354397, + "learning_rate": 1.6620807767297505e-05, + "loss": 0.9592, + "step": 12377 + }, + { + "epoch": 0.29, + "grad_norm": 1.5846133397793458, + "learning_rate": 1.6620235900268127e-05, + "loss": 0.9892, + "step": 12378 + }, + { + "epoch": 0.29, + "grad_norm": 2.013109660817868, + "learning_rate": 1.6619663994693634e-05, + "loss": 0.8492, + "step": 12379 + }, + { + "epoch": 0.29, + "grad_norm": 2.0948575221486005, + "learning_rate": 1.6619092050577367e-05, + "loss": 0.8426, + "step": 12380 + }, + { + "epoch": 0.29, + "grad_norm": 1.5192902375285138, + "learning_rate": 1.661852006792265e-05, + "loss": 0.9254, + "step": 12381 + }, + { + "epoch": 0.29, + "grad_norm": 1.6364137240406902, + "learning_rate": 1.6617948046732814e-05, + "loss": 0.9067, + "step": 12382 + }, + { + "epoch": 0.29, + "grad_norm": 1.9348586695639756, + "learning_rate": 1.6617375987011186e-05, + "loss": 0.906, + "step": 12383 + }, + { + "epoch": 0.29, + "grad_norm": 1.4590646135318748, + "learning_rate": 1.6616803888761105e-05, + "loss": 0.8899, + "step": 12384 + }, + { + "epoch": 0.29, + "grad_norm": 3.721278023140308, + "learning_rate": 1.6616231751985893e-05, + "loss": 1.0528, + "step": 12385 + }, + { + "epoch": 0.29, + "grad_norm": 2.8881592477347118, + "learning_rate": 1.6615659576688886e-05, + "loss": 0.8614, + "step": 12386 + }, + { + "epoch": 0.29, + "grad_norm": 1.9370035403504267, + "learning_rate": 1.6615087362873415e-05, + "loss": 0.9785, + "step": 12387 + }, + { + "epoch": 0.29, + "grad_norm": 0.8024223662404868, + "learning_rate": 1.6614515110542807e-05, + "loss": 0.7696, + "step": 12388 + }, + { + "epoch": 0.29, + "grad_norm": 1.5241390675902078, + "learning_rate": 1.6613942819700402e-05, + "loss": 0.8594, + "step": 12389 + }, + { + "epoch": 0.29, + "grad_norm": 1.5655149512026225, + "learning_rate": 1.661337049034953e-05, + "loss": 0.85, + "step": 12390 + }, + { + "epoch": 0.29, + "grad_norm": 1.8562662092731468, + "learning_rate": 1.661279812249352e-05, + "loss": 0.8614, + "step": 12391 + }, + { + "epoch": 0.29, + "grad_norm": 2.0499085936522152, + "learning_rate": 1.6612225716135703e-05, + "loss": 0.7483, + "step": 12392 + }, + { + "epoch": 0.29, + "grad_norm": 2.126306062148004, + "learning_rate": 1.6611653271279415e-05, + "loss": 0.9214, + "step": 12393 + }, + { + "epoch": 0.29, + "grad_norm": 1.9970361760015345, + "learning_rate": 1.661108078792799e-05, + "loss": 0.9011, + "step": 12394 + }, + { + "epoch": 0.29, + "grad_norm": 1.618935057963343, + "learning_rate": 1.661050826608476e-05, + "loss": 0.8472, + "step": 12395 + }, + { + "epoch": 0.29, + "grad_norm": 1.669865161402569, + "learning_rate": 1.6609935705753057e-05, + "loss": 0.9448, + "step": 12396 + }, + { + "epoch": 0.29, + "grad_norm": 1.4149877215664934, + "learning_rate": 1.6609363106936215e-05, + "loss": 0.8628, + "step": 12397 + }, + { + "epoch": 0.29, + "grad_norm": 1.5878739224700038, + "learning_rate": 1.660879046963757e-05, + "loss": 0.8633, + "step": 12398 + }, + { + "epoch": 0.29, + "grad_norm": 1.5146007339333536, + "learning_rate": 1.6608217793860455e-05, + "loss": 0.9836, + "step": 12399 + }, + { + "epoch": 0.29, + "grad_norm": 1.8789795195636763, + "learning_rate": 1.66076450796082e-05, + "loss": 0.7568, + "step": 12400 + }, + { + "epoch": 0.29, + "grad_norm": 1.6979757028449252, + "learning_rate": 1.660707232688415e-05, + "loss": 0.956, + "step": 12401 + }, + { + "epoch": 0.29, + "grad_norm": 1.500427909394399, + "learning_rate": 1.6606499535691623e-05, + "loss": 0.8488, + "step": 12402 + }, + { + "epoch": 0.29, + "grad_norm": 1.6089630645552249, + "learning_rate": 1.6605926706033973e-05, + "loss": 0.8867, + "step": 12403 + }, + { + "epoch": 0.29, + "grad_norm": 0.8508437747345459, + "learning_rate": 1.6605353837914522e-05, + "loss": 0.7926, + "step": 12404 + }, + { + "epoch": 0.29, + "grad_norm": 1.5592909957229333, + "learning_rate": 1.660478093133661e-05, + "loss": 0.9414, + "step": 12405 + }, + { + "epoch": 0.29, + "grad_norm": 1.5263947396985849, + "learning_rate": 1.6604207986303577e-05, + "loss": 0.8553, + "step": 12406 + }, + { + "epoch": 0.29, + "grad_norm": 1.890055453499283, + "learning_rate": 1.660363500281875e-05, + "loss": 0.9412, + "step": 12407 + }, + { + "epoch": 0.29, + "grad_norm": 1.905197623267496, + "learning_rate": 1.660306198088547e-05, + "loss": 0.9616, + "step": 12408 + }, + { + "epoch": 0.29, + "grad_norm": 1.6006842372509393, + "learning_rate": 1.6602488920507075e-05, + "loss": 0.9508, + "step": 12409 + }, + { + "epoch": 0.29, + "grad_norm": 1.8765328850260976, + "learning_rate": 1.6601915821686895e-05, + "loss": 0.8056, + "step": 12410 + }, + { + "epoch": 0.29, + "grad_norm": 1.6615510442923849, + "learning_rate": 1.6601342684428274e-05, + "loss": 0.9828, + "step": 12411 + }, + { + "epoch": 0.29, + "grad_norm": 1.6464495197898061, + "learning_rate": 1.6600769508734545e-05, + "loss": 0.9056, + "step": 12412 + }, + { + "epoch": 0.29, + "grad_norm": 1.7108594666909338, + "learning_rate": 1.6600196294609047e-05, + "loss": 0.9969, + "step": 12413 + }, + { + "epoch": 0.29, + "grad_norm": 1.4569919870085877, + "learning_rate": 1.6599623042055114e-05, + "loss": 0.9222, + "step": 12414 + }, + { + "epoch": 0.29, + "grad_norm": 1.7369460122421327, + "learning_rate": 1.659904975107609e-05, + "loss": 0.9434, + "step": 12415 + }, + { + "epoch": 0.29, + "grad_norm": 1.8487943434289995, + "learning_rate": 1.6598476421675303e-05, + "loss": 0.8945, + "step": 12416 + }, + { + "epoch": 0.29, + "grad_norm": 1.6363474385866088, + "learning_rate": 1.6597903053856104e-05, + "loss": 0.9559, + "step": 12417 + }, + { + "epoch": 0.29, + "grad_norm": 1.762205820807905, + "learning_rate": 1.6597329647621822e-05, + "loss": 0.9041, + "step": 12418 + }, + { + "epoch": 0.29, + "grad_norm": 1.6424749923494606, + "learning_rate": 1.65967562029758e-05, + "loss": 1.1081, + "step": 12419 + }, + { + "epoch": 0.29, + "grad_norm": 1.769802577369969, + "learning_rate": 1.659618271992137e-05, + "loss": 0.9792, + "step": 12420 + }, + { + "epoch": 0.29, + "grad_norm": 1.7767831809317305, + "learning_rate": 1.6595609198461878e-05, + "loss": 1.0391, + "step": 12421 + }, + { + "epoch": 0.29, + "grad_norm": 0.7901524439858039, + "learning_rate": 1.6595035638600662e-05, + "loss": 0.7316, + "step": 12422 + }, + { + "epoch": 0.29, + "grad_norm": 1.5719017359433596, + "learning_rate": 1.659446204034106e-05, + "loss": 0.8507, + "step": 12423 + }, + { + "epoch": 0.29, + "grad_norm": 2.060623685904592, + "learning_rate": 1.6593888403686417e-05, + "loss": 0.7878, + "step": 12424 + }, + { + "epoch": 0.29, + "grad_norm": 1.4872159402676133, + "learning_rate": 1.6593314728640063e-05, + "loss": 0.9692, + "step": 12425 + }, + { + "epoch": 0.29, + "grad_norm": 1.7780443697177473, + "learning_rate": 1.6592741015205343e-05, + "loss": 0.8847, + "step": 12426 + }, + { + "epoch": 0.29, + "grad_norm": 1.8555299143999606, + "learning_rate": 1.65921672633856e-05, + "loss": 0.922, + "step": 12427 + }, + { + "epoch": 0.29, + "grad_norm": 1.9722574689888284, + "learning_rate": 1.659159347318417e-05, + "loss": 0.8291, + "step": 12428 + }, + { + "epoch": 0.29, + "grad_norm": 1.708378600199253, + "learning_rate": 1.65910196446044e-05, + "loss": 0.9437, + "step": 12429 + }, + { + "epoch": 0.29, + "grad_norm": 1.50651213327216, + "learning_rate": 1.659044577764962e-05, + "loss": 0.841, + "step": 12430 + }, + { + "epoch": 0.29, + "grad_norm": 1.5880006129482342, + "learning_rate": 1.6589871872323185e-05, + "loss": 0.8139, + "step": 12431 + }, + { + "epoch": 0.29, + "grad_norm": 1.8287486261025165, + "learning_rate": 1.6589297928628423e-05, + "loss": 0.9988, + "step": 12432 + }, + { + "epoch": 0.29, + "grad_norm": 1.6971909721930618, + "learning_rate": 1.658872394656869e-05, + "loss": 1.0148, + "step": 12433 + }, + { + "epoch": 0.29, + "grad_norm": 1.7816083022840867, + "learning_rate": 1.658814992614731e-05, + "loss": 0.7952, + "step": 12434 + }, + { + "epoch": 0.29, + "grad_norm": 1.6521421839300543, + "learning_rate": 1.6587575867367645e-05, + "loss": 0.8259, + "step": 12435 + }, + { + "epoch": 0.29, + "grad_norm": 1.9100101776562906, + "learning_rate": 1.6587001770233024e-05, + "loss": 0.9603, + "step": 12436 + }, + { + "epoch": 0.29, + "grad_norm": 1.9651148575540143, + "learning_rate": 1.6586427634746794e-05, + "loss": 0.8795, + "step": 12437 + }, + { + "epoch": 0.29, + "grad_norm": 1.7377481739674325, + "learning_rate": 1.6585853460912295e-05, + "loss": 0.8117, + "step": 12438 + }, + { + "epoch": 0.29, + "grad_norm": 1.8828528123259494, + "learning_rate": 1.6585279248732873e-05, + "loss": 0.8819, + "step": 12439 + }, + { + "epoch": 0.29, + "grad_norm": 1.608773014865421, + "learning_rate": 1.658470499821187e-05, + "loss": 0.8734, + "step": 12440 + }, + { + "epoch": 0.29, + "grad_norm": 1.7605960099335882, + "learning_rate": 1.658413070935263e-05, + "loss": 0.8459, + "step": 12441 + }, + { + "epoch": 0.29, + "grad_norm": 0.7970479089607763, + "learning_rate": 1.65835563821585e-05, + "loss": 0.7204, + "step": 12442 + }, + { + "epoch": 0.29, + "grad_norm": 1.7186280940691347, + "learning_rate": 1.6582982016632818e-05, + "loss": 0.9729, + "step": 12443 + }, + { + "epoch": 0.29, + "grad_norm": 1.6324783193831447, + "learning_rate": 1.658240761277893e-05, + "loss": 0.976, + "step": 12444 + }, + { + "epoch": 0.29, + "grad_norm": 2.1272252434631294, + "learning_rate": 1.6581833170600182e-05, + "loss": 1.0526, + "step": 12445 + }, + { + "epoch": 0.29, + "grad_norm": 1.8009911426679113, + "learning_rate": 1.6581258690099916e-05, + "loss": 0.93, + "step": 12446 + }, + { + "epoch": 0.29, + "grad_norm": 2.1238207067006103, + "learning_rate": 1.6580684171281478e-05, + "loss": 0.7885, + "step": 12447 + }, + { + "epoch": 0.29, + "grad_norm": 1.690476768315683, + "learning_rate": 1.6580109614148213e-05, + "loss": 0.9279, + "step": 12448 + }, + { + "epoch": 0.29, + "grad_norm": 1.5214922340127963, + "learning_rate": 1.6579535018703472e-05, + "loss": 0.9095, + "step": 12449 + }, + { + "epoch": 0.29, + "grad_norm": 1.5365930495181914, + "learning_rate": 1.6578960384950588e-05, + "loss": 0.971, + "step": 12450 + }, + { + "epoch": 0.29, + "grad_norm": 2.6791019795625792, + "learning_rate": 1.657838571289292e-05, + "loss": 0.8603, + "step": 12451 + }, + { + "epoch": 0.29, + "grad_norm": 1.9813175161085175, + "learning_rate": 1.6577811002533803e-05, + "loss": 0.9601, + "step": 12452 + }, + { + "epoch": 0.29, + "grad_norm": 1.7313133043420725, + "learning_rate": 1.657723625387659e-05, + "loss": 0.8794, + "step": 12453 + }, + { + "epoch": 0.29, + "grad_norm": 1.8447617294100722, + "learning_rate": 1.6576661466924625e-05, + "loss": 0.9528, + "step": 12454 + }, + { + "epoch": 0.29, + "grad_norm": 1.5184662174667591, + "learning_rate": 1.657608664168125e-05, + "loss": 0.9888, + "step": 12455 + }, + { + "epoch": 0.29, + "grad_norm": 1.5859284832486973, + "learning_rate": 1.6575511778149823e-05, + "loss": 0.8883, + "step": 12456 + }, + { + "epoch": 0.29, + "grad_norm": 0.7638601858629971, + "learning_rate": 1.657493687633368e-05, + "loss": 0.747, + "step": 12457 + }, + { + "epoch": 0.29, + "grad_norm": 1.4253055720035062, + "learning_rate": 1.6574361936236177e-05, + "loss": 1.0465, + "step": 12458 + }, + { + "epoch": 0.29, + "grad_norm": 1.663783605052354, + "learning_rate": 1.6573786957860658e-05, + "loss": 0.8601, + "step": 12459 + }, + { + "epoch": 0.29, + "grad_norm": 1.6779937229358202, + "learning_rate": 1.6573211941210467e-05, + "loss": 1.0118, + "step": 12460 + }, + { + "epoch": 0.29, + "grad_norm": 1.4610106787659176, + "learning_rate": 1.6572636886288957e-05, + "loss": 0.8747, + "step": 12461 + }, + { + "epoch": 0.29, + "grad_norm": 2.8187017357598494, + "learning_rate": 1.6572061793099473e-05, + "loss": 0.9164, + "step": 12462 + }, + { + "epoch": 0.29, + "grad_norm": 1.815818450899879, + "learning_rate": 1.6571486661645367e-05, + "loss": 0.9278, + "step": 12463 + }, + { + "epoch": 0.29, + "grad_norm": 0.7746348979030931, + "learning_rate": 1.6570911491929984e-05, + "loss": 0.7661, + "step": 12464 + }, + { + "epoch": 0.29, + "grad_norm": 1.8881838375171054, + "learning_rate": 1.657033628395667e-05, + "loss": 1.0494, + "step": 12465 + }, + { + "epoch": 0.29, + "grad_norm": 1.7231725770254809, + "learning_rate": 1.656976103772878e-05, + "loss": 0.9585, + "step": 12466 + }, + { + "epoch": 0.29, + "grad_norm": 1.9829245804628635, + "learning_rate": 1.6569185753249662e-05, + "loss": 0.844, + "step": 12467 + }, + { + "epoch": 0.29, + "grad_norm": 1.9534500390282343, + "learning_rate": 1.656861043052267e-05, + "loss": 0.7989, + "step": 12468 + }, + { + "epoch": 0.29, + "grad_norm": 2.343567576200772, + "learning_rate": 1.656803506955114e-05, + "loss": 0.8192, + "step": 12469 + }, + { + "epoch": 0.29, + "grad_norm": 1.7880945839124653, + "learning_rate": 1.6567459670338434e-05, + "loss": 0.8782, + "step": 12470 + }, + { + "epoch": 0.29, + "grad_norm": 1.5942889604392418, + "learning_rate": 1.65668842328879e-05, + "loss": 0.8052, + "step": 12471 + }, + { + "epoch": 0.29, + "grad_norm": 1.715804923712623, + "learning_rate": 1.6566308757202883e-05, + "loss": 0.828, + "step": 12472 + }, + { + "epoch": 0.29, + "grad_norm": 3.6820408642681866, + "learning_rate": 1.656573324328674e-05, + "loss": 1.0088, + "step": 12473 + }, + { + "epoch": 0.29, + "grad_norm": 1.687165150034548, + "learning_rate": 1.656515769114282e-05, + "loss": 0.836, + "step": 12474 + }, + { + "epoch": 0.29, + "grad_norm": 0.7561081354808734, + "learning_rate": 1.6564582100774472e-05, + "loss": 0.7485, + "step": 12475 + }, + { + "epoch": 0.29, + "grad_norm": 1.6584603705401548, + "learning_rate": 1.656400647218505e-05, + "loss": 0.9157, + "step": 12476 + }, + { + "epoch": 0.29, + "grad_norm": 2.203524444989961, + "learning_rate": 1.6563430805377903e-05, + "loss": 0.8137, + "step": 12477 + }, + { + "epoch": 0.29, + "grad_norm": 2.2972536105705044, + "learning_rate": 1.6562855100356386e-05, + "loss": 0.8908, + "step": 12478 + }, + { + "epoch": 0.29, + "grad_norm": 1.8735159531102061, + "learning_rate": 1.656227935712385e-05, + "loss": 0.8963, + "step": 12479 + }, + { + "epoch": 0.29, + "grad_norm": 1.5116461779280899, + "learning_rate": 1.6561703575683645e-05, + "loss": 0.9679, + "step": 12480 + }, + { + "epoch": 0.29, + "grad_norm": 1.6706837135594916, + "learning_rate": 1.6561127756039122e-05, + "loss": 0.9187, + "step": 12481 + }, + { + "epoch": 0.29, + "grad_norm": 1.901686399783727, + "learning_rate": 1.6560551898193637e-05, + "loss": 0.8407, + "step": 12482 + }, + { + "epoch": 0.29, + "grad_norm": 1.70722075195508, + "learning_rate": 1.655997600215054e-05, + "loss": 0.8294, + "step": 12483 + }, + { + "epoch": 0.29, + "grad_norm": 1.7120751778507237, + "learning_rate": 1.6559400067913187e-05, + "loss": 0.9512, + "step": 12484 + }, + { + "epoch": 0.29, + "grad_norm": 1.7606617152252335, + "learning_rate": 1.655882409548493e-05, + "loss": 0.8824, + "step": 12485 + }, + { + "epoch": 0.29, + "grad_norm": 1.6686411806532575, + "learning_rate": 1.6558248084869125e-05, + "loss": 1.0202, + "step": 12486 + }, + { + "epoch": 0.29, + "grad_norm": 1.604446851958499, + "learning_rate": 1.6557672036069122e-05, + "loss": 0.9886, + "step": 12487 + }, + { + "epoch": 0.29, + "grad_norm": 1.67382234260919, + "learning_rate": 1.6557095949088275e-05, + "loss": 0.8858, + "step": 12488 + }, + { + "epoch": 0.29, + "grad_norm": 1.8690076416061525, + "learning_rate": 1.655651982392994e-05, + "loss": 0.9147, + "step": 12489 + }, + { + "epoch": 0.29, + "grad_norm": 1.5672737697709371, + "learning_rate": 1.655594366059747e-05, + "loss": 0.8841, + "step": 12490 + }, + { + "epoch": 0.29, + "grad_norm": 1.6404206310967329, + "learning_rate": 1.6555367459094223e-05, + "loss": 1.0062, + "step": 12491 + }, + { + "epoch": 0.29, + "grad_norm": 1.5812644336347015, + "learning_rate": 1.6554791219423548e-05, + "loss": 0.8956, + "step": 12492 + }, + { + "epoch": 0.29, + "grad_norm": 2.4176601396910753, + "learning_rate": 1.6554214941588807e-05, + "loss": 0.8884, + "step": 12493 + }, + { + "epoch": 0.29, + "grad_norm": 1.4873184701590279, + "learning_rate": 1.655363862559335e-05, + "loss": 0.8585, + "step": 12494 + }, + { + "epoch": 0.29, + "grad_norm": 2.2956422485533174, + "learning_rate": 1.6553062271440536e-05, + "loss": 0.7741, + "step": 12495 + }, + { + "epoch": 0.29, + "grad_norm": 1.7087286449240466, + "learning_rate": 1.6552485879133714e-05, + "loss": 0.8118, + "step": 12496 + }, + { + "epoch": 0.29, + "grad_norm": 1.707273886589387, + "learning_rate": 1.655190944867625e-05, + "loss": 0.9284, + "step": 12497 + }, + { + "epoch": 0.29, + "grad_norm": 1.9130632527322302, + "learning_rate": 1.6551332980071492e-05, + "loss": 0.9253, + "step": 12498 + }, + { + "epoch": 0.29, + "grad_norm": 1.7790652735219696, + "learning_rate": 1.6550756473322797e-05, + "loss": 0.9805, + "step": 12499 + }, + { + "epoch": 0.29, + "grad_norm": 1.6296442837207765, + "learning_rate": 1.6550179928433527e-05, + "loss": 0.9048, + "step": 12500 + }, + { + "epoch": 0.29, + "grad_norm": 1.5263378089916553, + "learning_rate": 1.6549603345407035e-05, + "loss": 0.9409, + "step": 12501 + }, + { + "epoch": 0.29, + "grad_norm": 1.9080976329814432, + "learning_rate": 1.654902672424668e-05, + "loss": 0.7782, + "step": 12502 + }, + { + "epoch": 0.29, + "grad_norm": 1.7529917977600955, + "learning_rate": 1.6548450064955815e-05, + "loss": 1.0012, + "step": 12503 + }, + { + "epoch": 0.29, + "grad_norm": 1.6870131725506514, + "learning_rate": 1.6547873367537805e-05, + "loss": 0.9409, + "step": 12504 + }, + { + "epoch": 0.29, + "grad_norm": 3.247440382270785, + "learning_rate": 1.6547296631996e-05, + "loss": 0.9357, + "step": 12505 + }, + { + "epoch": 0.29, + "grad_norm": 1.8788022657819778, + "learning_rate": 1.654671985833376e-05, + "loss": 0.8547, + "step": 12506 + }, + { + "epoch": 0.29, + "grad_norm": 2.0360996940175484, + "learning_rate": 1.6546143046554447e-05, + "loss": 0.9315, + "step": 12507 + }, + { + "epoch": 0.29, + "grad_norm": 2.3235985727029784, + "learning_rate": 1.6545566196661416e-05, + "loss": 0.9278, + "step": 12508 + }, + { + "epoch": 0.29, + "grad_norm": 1.6786042111067023, + "learning_rate": 1.6544989308658025e-05, + "loss": 0.9233, + "step": 12509 + }, + { + "epoch": 0.29, + "grad_norm": 1.9301446014812815, + "learning_rate": 1.6544412382547638e-05, + "loss": 0.8459, + "step": 12510 + }, + { + "epoch": 0.29, + "grad_norm": 1.6618030521261227, + "learning_rate": 1.6543835418333606e-05, + "loss": 0.8999, + "step": 12511 + }, + { + "epoch": 0.29, + "grad_norm": 1.6294495630373382, + "learning_rate": 1.6543258416019293e-05, + "loss": 0.9619, + "step": 12512 + }, + { + "epoch": 0.29, + "grad_norm": 1.6588089270757083, + "learning_rate": 1.654268137560806e-05, + "loss": 0.8613, + "step": 12513 + }, + { + "epoch": 0.29, + "grad_norm": 1.811094355325948, + "learning_rate": 1.6542104297103264e-05, + "loss": 0.952, + "step": 12514 + }, + { + "epoch": 0.29, + "grad_norm": 1.7365096354576954, + "learning_rate": 1.6541527180508265e-05, + "loss": 0.842, + "step": 12515 + }, + { + "epoch": 0.29, + "grad_norm": 1.51651726708065, + "learning_rate": 1.6540950025826424e-05, + "loss": 0.8799, + "step": 12516 + }, + { + "epoch": 0.29, + "grad_norm": 1.5221692945682659, + "learning_rate": 1.65403728330611e-05, + "loss": 0.9864, + "step": 12517 + }, + { + "epoch": 0.29, + "grad_norm": 1.748648599932897, + "learning_rate": 1.6539795602215655e-05, + "loss": 0.9995, + "step": 12518 + }, + { + "epoch": 0.29, + "grad_norm": 2.7739705612884613, + "learning_rate": 1.6539218333293453e-05, + "loss": 0.8739, + "step": 12519 + }, + { + "epoch": 0.29, + "grad_norm": 1.9873705064280107, + "learning_rate": 1.653864102629785e-05, + "loss": 1.0299, + "step": 12520 + }, + { + "epoch": 0.29, + "grad_norm": 1.5695576945624037, + "learning_rate": 1.6538063681232203e-05, + "loss": 0.7908, + "step": 12521 + }, + { + "epoch": 0.3, + "grad_norm": 1.4765494360587106, + "learning_rate": 1.6537486298099884e-05, + "loss": 0.8338, + "step": 12522 + }, + { + "epoch": 0.3, + "grad_norm": 1.4663326703355097, + "learning_rate": 1.653690887690425e-05, + "loss": 0.9562, + "step": 12523 + }, + { + "epoch": 0.3, + "grad_norm": 1.6747036745128252, + "learning_rate": 1.6536331417648664e-05, + "loss": 0.8389, + "step": 12524 + }, + { + "epoch": 0.3, + "grad_norm": 1.708344545004428, + "learning_rate": 1.653575392033649e-05, + "loss": 0.8454, + "step": 12525 + }, + { + "epoch": 0.3, + "grad_norm": 2.1320030750275034, + "learning_rate": 1.6535176384971082e-05, + "loss": 0.8267, + "step": 12526 + }, + { + "epoch": 0.3, + "grad_norm": 1.9035249248895303, + "learning_rate": 1.653459881155581e-05, + "loss": 0.7963, + "step": 12527 + }, + { + "epoch": 0.3, + "grad_norm": 1.4259848806676192, + "learning_rate": 1.6534021200094033e-05, + "loss": 0.9228, + "step": 12528 + }, + { + "epoch": 0.3, + "grad_norm": 1.5979963473241527, + "learning_rate": 1.6533443550589116e-05, + "loss": 0.9369, + "step": 12529 + }, + { + "epoch": 0.3, + "grad_norm": 1.7676112751624937, + "learning_rate": 1.6532865863044424e-05, + "loss": 0.9961, + "step": 12530 + }, + { + "epoch": 0.3, + "grad_norm": 0.7672487293133794, + "learning_rate": 1.653228813746332e-05, + "loss": 0.7104, + "step": 12531 + }, + { + "epoch": 0.3, + "grad_norm": 1.7910427687950412, + "learning_rate": 1.6531710373849166e-05, + "loss": 0.8218, + "step": 12532 + }, + { + "epoch": 0.3, + "grad_norm": 1.8487445167938519, + "learning_rate": 1.6531132572205324e-05, + "loss": 0.9736, + "step": 12533 + }, + { + "epoch": 0.3, + "grad_norm": 1.842049873541206, + "learning_rate": 1.653055473253516e-05, + "loss": 0.7822, + "step": 12534 + }, + { + "epoch": 0.3, + "grad_norm": 1.608236335151212, + "learning_rate": 1.6529976854842042e-05, + "loss": 0.8638, + "step": 12535 + }, + { + "epoch": 0.3, + "grad_norm": 0.8254009282332346, + "learning_rate": 1.6529398939129328e-05, + "loss": 0.747, + "step": 12536 + }, + { + "epoch": 0.3, + "grad_norm": 1.7132120282191745, + "learning_rate": 1.652882098540039e-05, + "loss": 0.8475, + "step": 12537 + }, + { + "epoch": 0.3, + "grad_norm": 2.0149758045679036, + "learning_rate": 1.6528242993658586e-05, + "loss": 1.0113, + "step": 12538 + }, + { + "epoch": 0.3, + "grad_norm": 1.5540198448210965, + "learning_rate": 1.6527664963907288e-05, + "loss": 0.8629, + "step": 12539 + }, + { + "epoch": 0.3, + "grad_norm": 0.8219331935239541, + "learning_rate": 1.652708689614985e-05, + "loss": 0.7456, + "step": 12540 + }, + { + "epoch": 0.3, + "grad_norm": 1.6228748050575457, + "learning_rate": 1.6526508790389655e-05, + "loss": 1.0844, + "step": 12541 + }, + { + "epoch": 0.3, + "grad_norm": 1.9434915986888157, + "learning_rate": 1.6525930646630057e-05, + "loss": 0.8276, + "step": 12542 + }, + { + "epoch": 0.3, + "grad_norm": 1.7995491715460996, + "learning_rate": 1.652535246487442e-05, + "loss": 0.8765, + "step": 12543 + }, + { + "epoch": 0.3, + "grad_norm": 1.9029525868721007, + "learning_rate": 1.652477424512612e-05, + "loss": 0.8164, + "step": 12544 + }, + { + "epoch": 0.3, + "grad_norm": 1.7212729142551657, + "learning_rate": 1.652419598738852e-05, + "loss": 0.7936, + "step": 12545 + }, + { + "epoch": 0.3, + "grad_norm": 1.8778267420170716, + "learning_rate": 1.6523617691664982e-05, + "loss": 0.9619, + "step": 12546 + }, + { + "epoch": 0.3, + "grad_norm": 1.9594262256867638, + "learning_rate": 1.6523039357958876e-05, + "loss": 0.8952, + "step": 12547 + }, + { + "epoch": 0.3, + "grad_norm": 1.560099345519682, + "learning_rate": 1.652246098627357e-05, + "loss": 0.9795, + "step": 12548 + }, + { + "epoch": 0.3, + "grad_norm": 1.6529841107607404, + "learning_rate": 1.6521882576612433e-05, + "loss": 0.9619, + "step": 12549 + }, + { + "epoch": 0.3, + "grad_norm": 1.5778485149975539, + "learning_rate": 1.6521304128978826e-05, + "loss": 0.8486, + "step": 12550 + }, + { + "epoch": 0.3, + "grad_norm": 1.4746979874708153, + "learning_rate": 1.652072564337613e-05, + "loss": 0.8356, + "step": 12551 + }, + { + "epoch": 0.3, + "grad_norm": 0.7506077196866365, + "learning_rate": 1.6520147119807698e-05, + "loss": 0.7613, + "step": 12552 + }, + { + "epoch": 0.3, + "grad_norm": 1.7330598429960706, + "learning_rate": 1.6519568558276908e-05, + "loss": 0.9692, + "step": 12553 + }, + { + "epoch": 0.3, + "grad_norm": 2.2049713994956677, + "learning_rate": 1.6518989958787126e-05, + "loss": 0.9109, + "step": 12554 + }, + { + "epoch": 0.3, + "grad_norm": 1.477308116399067, + "learning_rate": 1.651841132134172e-05, + "loss": 0.9728, + "step": 12555 + }, + { + "epoch": 0.3, + "grad_norm": 1.4901937655990958, + "learning_rate": 1.651783264594406e-05, + "loss": 0.94, + "step": 12556 + }, + { + "epoch": 0.3, + "grad_norm": 1.6089614842290154, + "learning_rate": 1.6517253932597515e-05, + "loss": 0.9986, + "step": 12557 + }, + { + "epoch": 0.3, + "grad_norm": 1.7785967250205361, + "learning_rate": 1.6516675181305456e-05, + "loss": 1.0527, + "step": 12558 + }, + { + "epoch": 0.3, + "grad_norm": 1.6480676072299012, + "learning_rate": 1.6516096392071248e-05, + "loss": 0.8221, + "step": 12559 + }, + { + "epoch": 0.3, + "grad_norm": 1.696522689275679, + "learning_rate": 1.651551756489826e-05, + "loss": 0.9797, + "step": 12560 + }, + { + "epoch": 0.3, + "grad_norm": 1.5312379556709517, + "learning_rate": 1.6514938699789877e-05, + "loss": 0.8476, + "step": 12561 + }, + { + "epoch": 0.3, + "grad_norm": 1.5457454591095265, + "learning_rate": 1.651435979674945e-05, + "loss": 0.9108, + "step": 12562 + }, + { + "epoch": 0.3, + "grad_norm": 1.8078600808782608, + "learning_rate": 1.6513780855780358e-05, + "loss": 0.8888, + "step": 12563 + }, + { + "epoch": 0.3, + "grad_norm": 1.537778832093164, + "learning_rate": 1.6513201876885972e-05, + "loss": 0.9319, + "step": 12564 + }, + { + "epoch": 0.3, + "grad_norm": 1.7699667131008336, + "learning_rate": 1.6512622860069667e-05, + "loss": 0.9455, + "step": 12565 + }, + { + "epoch": 0.3, + "grad_norm": 2.5631278613755497, + "learning_rate": 1.6512043805334808e-05, + "loss": 0.8483, + "step": 12566 + }, + { + "epoch": 0.3, + "grad_norm": 1.9314566129753745, + "learning_rate": 1.6511464712684764e-05, + "loss": 0.859, + "step": 12567 + }, + { + "epoch": 0.3, + "grad_norm": 1.6103633345369717, + "learning_rate": 1.6510885582122912e-05, + "loss": 0.938, + "step": 12568 + }, + { + "epoch": 0.3, + "grad_norm": 1.7473359523056573, + "learning_rate": 1.651030641365263e-05, + "loss": 0.9826, + "step": 12569 + }, + { + "epoch": 0.3, + "grad_norm": 1.532606489897966, + "learning_rate": 1.6509727207277273e-05, + "loss": 0.9357, + "step": 12570 + }, + { + "epoch": 0.3, + "grad_norm": 1.9894306807555242, + "learning_rate": 1.650914796300023e-05, + "loss": 0.9361, + "step": 12571 + }, + { + "epoch": 0.3, + "grad_norm": 0.7764814994435214, + "learning_rate": 1.6508568680824865e-05, + "loss": 0.7405, + "step": 12572 + }, + { + "epoch": 0.3, + "grad_norm": 1.6989534701594384, + "learning_rate": 1.6507989360754553e-05, + "loss": 0.8781, + "step": 12573 + }, + { + "epoch": 0.3, + "grad_norm": 2.8262812468301517, + "learning_rate": 1.6507410002792665e-05, + "loss": 0.8704, + "step": 12574 + }, + { + "epoch": 0.3, + "grad_norm": 1.8367153875102848, + "learning_rate": 1.6506830606942578e-05, + "loss": 0.8972, + "step": 12575 + }, + { + "epoch": 0.3, + "grad_norm": 1.5521889232743238, + "learning_rate": 1.650625117320766e-05, + "loss": 0.9879, + "step": 12576 + }, + { + "epoch": 0.3, + "grad_norm": 2.002412500637353, + "learning_rate": 1.650567170159129e-05, + "loss": 0.908, + "step": 12577 + }, + { + "epoch": 0.3, + "grad_norm": 1.4456708113955319, + "learning_rate": 1.6505092192096837e-05, + "loss": 0.9974, + "step": 12578 + }, + { + "epoch": 0.3, + "grad_norm": 2.48290098848779, + "learning_rate": 1.650451264472768e-05, + "loss": 0.96, + "step": 12579 + }, + { + "epoch": 0.3, + "grad_norm": 1.620594576004967, + "learning_rate": 1.6503933059487195e-05, + "loss": 0.8476, + "step": 12580 + }, + { + "epoch": 0.3, + "grad_norm": 2.678172496173363, + "learning_rate": 1.6503353436378747e-05, + "loss": 0.844, + "step": 12581 + }, + { + "epoch": 0.3, + "grad_norm": 1.5390241777830653, + "learning_rate": 1.6502773775405717e-05, + "loss": 0.9521, + "step": 12582 + }, + { + "epoch": 0.3, + "grad_norm": 1.482926168930758, + "learning_rate": 1.650219407657148e-05, + "loss": 0.9215, + "step": 12583 + }, + { + "epoch": 0.3, + "grad_norm": 1.8229668409780964, + "learning_rate": 1.6501614339879413e-05, + "loss": 0.9805, + "step": 12584 + }, + { + "epoch": 0.3, + "grad_norm": 1.375797747057036, + "learning_rate": 1.650103456533289e-05, + "loss": 0.968, + "step": 12585 + }, + { + "epoch": 0.3, + "grad_norm": 0.773534233286462, + "learning_rate": 1.650045475293528e-05, + "loss": 0.7618, + "step": 12586 + }, + { + "epoch": 0.3, + "grad_norm": 1.6628740936326065, + "learning_rate": 1.6499874902689968e-05, + "loss": 0.9221, + "step": 12587 + }, + { + "epoch": 0.3, + "grad_norm": 1.5456194442312237, + "learning_rate": 1.6499295014600327e-05, + "loss": 0.973, + "step": 12588 + }, + { + "epoch": 0.3, + "grad_norm": 1.578514060623624, + "learning_rate": 1.649871508866973e-05, + "loss": 0.8677, + "step": 12589 + }, + { + "epoch": 0.3, + "grad_norm": 1.6732856260728168, + "learning_rate": 1.6498135124901557e-05, + "loss": 0.955, + "step": 12590 + }, + { + "epoch": 0.3, + "grad_norm": 1.6734210713084436, + "learning_rate": 1.6497555123299184e-05, + "loss": 0.8454, + "step": 12591 + }, + { + "epoch": 0.3, + "grad_norm": 2.284670486462056, + "learning_rate": 1.649697508386599e-05, + "loss": 0.8612, + "step": 12592 + }, + { + "epoch": 0.3, + "grad_norm": 1.4748837739514487, + "learning_rate": 1.6496395006605346e-05, + "loss": 0.9153, + "step": 12593 + }, + { + "epoch": 0.3, + "grad_norm": 1.6935193640113249, + "learning_rate": 1.6495814891520636e-05, + "loss": 0.8072, + "step": 12594 + }, + { + "epoch": 0.3, + "grad_norm": 1.6453769648793497, + "learning_rate": 1.6495234738615238e-05, + "loss": 0.9928, + "step": 12595 + }, + { + "epoch": 0.3, + "grad_norm": 1.6655270804655515, + "learning_rate": 1.6494654547892522e-05, + "loss": 0.8069, + "step": 12596 + }, + { + "epoch": 0.3, + "grad_norm": 1.7332860652671882, + "learning_rate": 1.6494074319355874e-05, + "loss": 0.9597, + "step": 12597 + }, + { + "epoch": 0.3, + "grad_norm": 1.5584716293407859, + "learning_rate": 1.649349405300867e-05, + "loss": 0.8893, + "step": 12598 + }, + { + "epoch": 0.3, + "grad_norm": 2.3465580251644056, + "learning_rate": 1.6492913748854285e-05, + "loss": 1.1, + "step": 12599 + }, + { + "epoch": 0.3, + "grad_norm": 1.6119867374297783, + "learning_rate": 1.6492333406896103e-05, + "loss": 0.8688, + "step": 12600 + }, + { + "epoch": 0.3, + "grad_norm": 9.489032656506618, + "learning_rate": 1.6491753027137497e-05, + "loss": 0.9054, + "step": 12601 + }, + { + "epoch": 0.3, + "grad_norm": 1.9589069784146453, + "learning_rate": 1.6491172609581856e-05, + "loss": 1.0995, + "step": 12602 + }, + { + "epoch": 0.3, + "grad_norm": 2.0324835674921222, + "learning_rate": 1.649059215423255e-05, + "loss": 0.8397, + "step": 12603 + }, + { + "epoch": 0.3, + "grad_norm": 1.7335179065112396, + "learning_rate": 1.649001166109296e-05, + "loss": 1.022, + "step": 12604 + }, + { + "epoch": 0.3, + "grad_norm": 2.019547009516114, + "learning_rate": 1.648943113016647e-05, + "loss": 1.0115, + "step": 12605 + }, + { + "epoch": 0.3, + "grad_norm": 1.7692996423771428, + "learning_rate": 1.648885056145645e-05, + "loss": 0.8341, + "step": 12606 + }, + { + "epoch": 0.3, + "grad_norm": 1.5638282863570336, + "learning_rate": 1.6488269954966295e-05, + "loss": 0.9358, + "step": 12607 + }, + { + "epoch": 0.3, + "grad_norm": 1.6987614941833937, + "learning_rate": 1.6487689310699377e-05, + "loss": 0.8142, + "step": 12608 + }, + { + "epoch": 0.3, + "grad_norm": 1.6718518661005357, + "learning_rate": 1.648710862865908e-05, + "loss": 0.9252, + "step": 12609 + }, + { + "epoch": 0.3, + "grad_norm": 3.2752145251849663, + "learning_rate": 1.648652790884878e-05, + "loss": 0.9144, + "step": 12610 + }, + { + "epoch": 0.3, + "grad_norm": 1.676734374484602, + "learning_rate": 1.648594715127186e-05, + "loss": 0.8925, + "step": 12611 + }, + { + "epoch": 0.3, + "grad_norm": 1.805887951984885, + "learning_rate": 1.64853663559317e-05, + "loss": 0.7908, + "step": 12612 + }, + { + "epoch": 0.3, + "grad_norm": 1.6000145221081203, + "learning_rate": 1.648478552283169e-05, + "loss": 0.8359, + "step": 12613 + }, + { + "epoch": 0.3, + "grad_norm": 1.4498515764896736, + "learning_rate": 1.6484204651975203e-05, + "loss": 0.8294, + "step": 12614 + }, + { + "epoch": 0.3, + "grad_norm": 0.7757579340878209, + "learning_rate": 1.6483623743365624e-05, + "loss": 0.7278, + "step": 12615 + }, + { + "epoch": 0.3, + "grad_norm": 1.6964654103518686, + "learning_rate": 1.6483042797006334e-05, + "loss": 0.904, + "step": 12616 + }, + { + "epoch": 0.3, + "grad_norm": 1.5871429823123733, + "learning_rate": 1.6482461812900718e-05, + "loss": 0.9828, + "step": 12617 + }, + { + "epoch": 0.3, + "grad_norm": 2.698641223785912, + "learning_rate": 1.6481880791052158e-05, + "loss": 0.9113, + "step": 12618 + }, + { + "epoch": 0.3, + "grad_norm": 1.608829494089598, + "learning_rate": 1.648129973146403e-05, + "loss": 0.9651, + "step": 12619 + }, + { + "epoch": 0.3, + "grad_norm": 1.4962423522506487, + "learning_rate": 1.6480718634139726e-05, + "loss": 0.9535, + "step": 12620 + }, + { + "epoch": 0.3, + "grad_norm": 0.7809019125030477, + "learning_rate": 1.648013749908263e-05, + "loss": 0.7884, + "step": 12621 + }, + { + "epoch": 0.3, + "grad_norm": 0.7282543494065922, + "learning_rate": 1.6479556326296116e-05, + "loss": 0.7103, + "step": 12622 + }, + { + "epoch": 0.3, + "grad_norm": 1.8772168566989658, + "learning_rate": 1.6478975115783577e-05, + "loss": 0.7358, + "step": 12623 + }, + { + "epoch": 0.3, + "grad_norm": 1.8237221390975689, + "learning_rate": 1.6478393867548396e-05, + "loss": 0.8515, + "step": 12624 + }, + { + "epoch": 0.3, + "grad_norm": 0.7560606639060015, + "learning_rate": 1.647781258159395e-05, + "loss": 0.7589, + "step": 12625 + }, + { + "epoch": 0.3, + "grad_norm": 1.7991030014289275, + "learning_rate": 1.647723125792363e-05, + "loss": 0.9104, + "step": 12626 + }, + { + "epoch": 0.3, + "grad_norm": 1.531969615875157, + "learning_rate": 1.647664989654082e-05, + "loss": 0.8871, + "step": 12627 + }, + { + "epoch": 0.3, + "grad_norm": 1.920777077458059, + "learning_rate": 1.6476068497448903e-05, + "loss": 0.908, + "step": 12628 + }, + { + "epoch": 0.3, + "grad_norm": 1.8083738446204989, + "learning_rate": 1.6475487060651265e-05, + "loss": 1.0061, + "step": 12629 + }, + { + "epoch": 0.3, + "grad_norm": 1.8031364758810078, + "learning_rate": 1.6474905586151293e-05, + "loss": 0.8411, + "step": 12630 + }, + { + "epoch": 0.3, + "grad_norm": 1.8308589104893846, + "learning_rate": 1.647432407395237e-05, + "loss": 0.7637, + "step": 12631 + }, + { + "epoch": 0.3, + "grad_norm": 1.5386864504486362, + "learning_rate": 1.647374252405788e-05, + "loss": 0.9511, + "step": 12632 + }, + { + "epoch": 0.3, + "grad_norm": 2.0085028278759407, + "learning_rate": 1.6473160936471214e-05, + "loss": 0.9686, + "step": 12633 + }, + { + "epoch": 0.3, + "grad_norm": 1.5815727365089918, + "learning_rate": 1.6472579311195752e-05, + "loss": 0.8693, + "step": 12634 + }, + { + "epoch": 0.3, + "grad_norm": 0.7678188926959285, + "learning_rate": 1.6471997648234886e-05, + "loss": 0.7166, + "step": 12635 + }, + { + "epoch": 0.3, + "grad_norm": 2.4337333690859966, + "learning_rate": 1.6471415947592e-05, + "loss": 0.9194, + "step": 12636 + }, + { + "epoch": 0.3, + "grad_norm": 1.8603606016710408, + "learning_rate": 1.647083420927049e-05, + "loss": 1.0016, + "step": 12637 + }, + { + "epoch": 0.3, + "grad_norm": 2.1093450308752546, + "learning_rate": 1.6470252433273723e-05, + "loss": 0.8929, + "step": 12638 + }, + { + "epoch": 0.3, + "grad_norm": 1.6928876882928887, + "learning_rate": 1.6469670619605103e-05, + "loss": 0.9385, + "step": 12639 + }, + { + "epoch": 0.3, + "grad_norm": 1.6208816322578374, + "learning_rate": 1.6469088768268013e-05, + "loss": 0.8765, + "step": 12640 + }, + { + "epoch": 0.3, + "grad_norm": 1.6696356577939484, + "learning_rate": 1.646850687926584e-05, + "loss": 1.0485, + "step": 12641 + }, + { + "epoch": 0.3, + "grad_norm": 3.693680336904277, + "learning_rate": 1.646792495260197e-05, + "loss": 0.9364, + "step": 12642 + }, + { + "epoch": 0.3, + "grad_norm": 1.6251287475949632, + "learning_rate": 1.6467342988279793e-05, + "loss": 0.9739, + "step": 12643 + }, + { + "epoch": 0.3, + "grad_norm": 1.5136148912332594, + "learning_rate": 1.64667609863027e-05, + "loss": 0.7858, + "step": 12644 + }, + { + "epoch": 0.3, + "grad_norm": 1.4852397715649488, + "learning_rate": 1.646617894667408e-05, + "loss": 0.9132, + "step": 12645 + }, + { + "epoch": 0.3, + "grad_norm": 1.7064558056713621, + "learning_rate": 1.646559686939731e-05, + "loss": 0.9024, + "step": 12646 + }, + { + "epoch": 0.3, + "grad_norm": 1.8008319928299041, + "learning_rate": 1.6465014754475794e-05, + "loss": 0.8574, + "step": 12647 + }, + { + "epoch": 0.3, + "grad_norm": 1.9148908250567094, + "learning_rate": 1.6464432601912914e-05, + "loss": 0.7542, + "step": 12648 + }, + { + "epoch": 0.3, + "grad_norm": 1.7877093853688848, + "learning_rate": 1.6463850411712063e-05, + "loss": 0.7816, + "step": 12649 + }, + { + "epoch": 0.3, + "grad_norm": 1.5941163250987163, + "learning_rate": 1.6463268183876627e-05, + "loss": 0.8872, + "step": 12650 + }, + { + "epoch": 0.3, + "grad_norm": 1.6415394739224567, + "learning_rate": 1.6462685918409998e-05, + "loss": 0.8351, + "step": 12651 + }, + { + "epoch": 0.3, + "grad_norm": 1.5747664879508252, + "learning_rate": 1.6462103615315563e-05, + "loss": 0.9182, + "step": 12652 + }, + { + "epoch": 0.3, + "grad_norm": 1.6277903142359176, + "learning_rate": 1.6461521274596717e-05, + "loss": 0.9527, + "step": 12653 + }, + { + "epoch": 0.3, + "grad_norm": 1.5102131536788581, + "learning_rate": 1.6460938896256848e-05, + "loss": 0.9492, + "step": 12654 + }, + { + "epoch": 0.3, + "grad_norm": 1.5191634664186373, + "learning_rate": 1.6460356480299345e-05, + "loss": 0.995, + "step": 12655 + }, + { + "epoch": 0.3, + "grad_norm": 0.7696793383542471, + "learning_rate": 1.6459774026727606e-05, + "loss": 0.6877, + "step": 12656 + }, + { + "epoch": 0.3, + "grad_norm": 1.795785709521723, + "learning_rate": 1.6459191535545013e-05, + "loss": 0.9261, + "step": 12657 + }, + { + "epoch": 0.3, + "grad_norm": 1.7429201727839025, + "learning_rate": 1.6458609006754966e-05, + "loss": 0.9294, + "step": 12658 + }, + { + "epoch": 0.3, + "grad_norm": 2.5246587693719436, + "learning_rate": 1.6458026440360847e-05, + "loss": 0.8276, + "step": 12659 + }, + { + "epoch": 0.3, + "grad_norm": 1.8831545517337924, + "learning_rate": 1.6457443836366062e-05, + "loss": 0.9342, + "step": 12660 + }, + { + "epoch": 0.3, + "grad_norm": 2.028977901533004, + "learning_rate": 1.6456861194773988e-05, + "loss": 0.9191, + "step": 12661 + }, + { + "epoch": 0.3, + "grad_norm": 1.7123814049708626, + "learning_rate": 1.6456278515588023e-05, + "loss": 1.1107, + "step": 12662 + }, + { + "epoch": 0.3, + "grad_norm": 1.688230486666659, + "learning_rate": 1.6455695798811567e-05, + "loss": 0.9187, + "step": 12663 + }, + { + "epoch": 0.3, + "grad_norm": 1.5357223650594698, + "learning_rate": 1.6455113044448e-05, + "loss": 0.8262, + "step": 12664 + }, + { + "epoch": 0.3, + "grad_norm": 1.7430090746345017, + "learning_rate": 1.6454530252500723e-05, + "loss": 0.9917, + "step": 12665 + }, + { + "epoch": 0.3, + "grad_norm": 0.8130964902728026, + "learning_rate": 1.645394742297313e-05, + "loss": 0.7649, + "step": 12666 + }, + { + "epoch": 0.3, + "grad_norm": 1.7867050960757254, + "learning_rate": 1.645336455586861e-05, + "loss": 0.8309, + "step": 12667 + }, + { + "epoch": 0.3, + "grad_norm": 2.0556840779537464, + "learning_rate": 1.645278165119056e-05, + "loss": 0.9671, + "step": 12668 + }, + { + "epoch": 0.3, + "grad_norm": 1.6056737861487071, + "learning_rate": 1.6452198708942368e-05, + "loss": 0.789, + "step": 12669 + }, + { + "epoch": 0.3, + "grad_norm": 1.488456605138759, + "learning_rate": 1.6451615729127436e-05, + "loss": 0.8822, + "step": 12670 + }, + { + "epoch": 0.3, + "grad_norm": 0.7678260573807504, + "learning_rate": 1.6451032711749154e-05, + "loss": 0.8002, + "step": 12671 + }, + { + "epoch": 0.3, + "grad_norm": 1.6751920412351775, + "learning_rate": 1.6450449656810914e-05, + "loss": 0.8484, + "step": 12672 + }, + { + "epoch": 0.3, + "grad_norm": 0.8097411481695852, + "learning_rate": 1.6449866564316118e-05, + "loss": 0.7807, + "step": 12673 + }, + { + "epoch": 0.3, + "grad_norm": 1.7064943694151342, + "learning_rate": 1.6449283434268153e-05, + "loss": 0.8583, + "step": 12674 + }, + { + "epoch": 0.3, + "grad_norm": 2.760467256484119, + "learning_rate": 1.644870026667042e-05, + "loss": 0.852, + "step": 12675 + }, + { + "epoch": 0.3, + "grad_norm": 0.7658560232917008, + "learning_rate": 1.6448117061526314e-05, + "loss": 0.7527, + "step": 12676 + }, + { + "epoch": 0.3, + "grad_norm": 1.782717565970901, + "learning_rate": 1.644753381883923e-05, + "loss": 0.7611, + "step": 12677 + }, + { + "epoch": 0.3, + "grad_norm": 1.5667981584601531, + "learning_rate": 1.644695053861256e-05, + "loss": 0.9934, + "step": 12678 + }, + { + "epoch": 0.3, + "grad_norm": 1.97830122258075, + "learning_rate": 1.6446367220849704e-05, + "loss": 0.9668, + "step": 12679 + }, + { + "epoch": 0.3, + "grad_norm": 1.780568455867297, + "learning_rate": 1.6445783865554056e-05, + "loss": 0.9676, + "step": 12680 + }, + { + "epoch": 0.3, + "grad_norm": 1.7771271967027271, + "learning_rate": 1.6445200472729016e-05, + "loss": 0.9311, + "step": 12681 + }, + { + "epoch": 0.3, + "grad_norm": 1.5602813517826317, + "learning_rate": 1.6444617042377978e-05, + "loss": 0.946, + "step": 12682 + }, + { + "epoch": 0.3, + "grad_norm": 2.093228506700597, + "learning_rate": 1.6444033574504336e-05, + "loss": 0.8941, + "step": 12683 + }, + { + "epoch": 0.3, + "grad_norm": 1.6915626066110467, + "learning_rate": 1.644345006911149e-05, + "loss": 0.9392, + "step": 12684 + }, + { + "epoch": 0.3, + "grad_norm": 1.6571753988322875, + "learning_rate": 1.6442866526202842e-05, + "loss": 0.9555, + "step": 12685 + }, + { + "epoch": 0.3, + "grad_norm": 1.685433137903053, + "learning_rate": 1.6442282945781784e-05, + "loss": 0.8113, + "step": 12686 + }, + { + "epoch": 0.3, + "grad_norm": 1.8447062326761756, + "learning_rate": 1.6441699327851715e-05, + "loss": 0.7916, + "step": 12687 + }, + { + "epoch": 0.3, + "grad_norm": 1.6628357340450541, + "learning_rate": 1.6441115672416033e-05, + "loss": 1.0741, + "step": 12688 + }, + { + "epoch": 0.3, + "grad_norm": 1.5766627428384168, + "learning_rate": 1.6440531979478137e-05, + "loss": 0.7886, + "step": 12689 + }, + { + "epoch": 0.3, + "grad_norm": 1.6210766683678173, + "learning_rate": 1.643994824904142e-05, + "loss": 0.9164, + "step": 12690 + }, + { + "epoch": 0.3, + "grad_norm": 2.9744139926589637, + "learning_rate": 1.6439364481109292e-05, + "loss": 0.9011, + "step": 12691 + }, + { + "epoch": 0.3, + "grad_norm": 1.996925061132911, + "learning_rate": 1.643878067568514e-05, + "loss": 1.043, + "step": 12692 + }, + { + "epoch": 0.3, + "grad_norm": 1.5895585130935703, + "learning_rate": 1.6438196832772372e-05, + "loss": 0.9251, + "step": 12693 + }, + { + "epoch": 0.3, + "grad_norm": 1.424481169725021, + "learning_rate": 1.6437612952374382e-05, + "loss": 0.8621, + "step": 12694 + }, + { + "epoch": 0.3, + "grad_norm": 2.0126402385441184, + "learning_rate": 1.6437029034494574e-05, + "loss": 0.8743, + "step": 12695 + }, + { + "epoch": 0.3, + "grad_norm": 1.9096843275412196, + "learning_rate": 1.6436445079136344e-05, + "loss": 0.8556, + "step": 12696 + }, + { + "epoch": 0.3, + "grad_norm": 1.759608672405273, + "learning_rate": 1.6435861086303092e-05, + "loss": 0.917, + "step": 12697 + }, + { + "epoch": 0.3, + "grad_norm": 1.6968162855646993, + "learning_rate": 1.643527705599822e-05, + "loss": 0.8719, + "step": 12698 + }, + { + "epoch": 0.3, + "grad_norm": 1.6792118218179983, + "learning_rate": 1.6434692988225125e-05, + "loss": 0.8493, + "step": 12699 + }, + { + "epoch": 0.3, + "grad_norm": 1.5440364109690443, + "learning_rate": 1.6434108882987213e-05, + "loss": 1.0517, + "step": 12700 + }, + { + "epoch": 0.3, + "grad_norm": 2.4017470779538326, + "learning_rate": 1.643352474028788e-05, + "loss": 0.9034, + "step": 12701 + }, + { + "epoch": 0.3, + "grad_norm": 1.5400722094314672, + "learning_rate": 1.643294056013053e-05, + "loss": 1.0233, + "step": 12702 + }, + { + "epoch": 0.3, + "grad_norm": 1.5687194154462332, + "learning_rate": 1.6432356342518564e-05, + "loss": 0.9057, + "step": 12703 + }, + { + "epoch": 0.3, + "grad_norm": 1.569719786307193, + "learning_rate": 1.6431772087455384e-05, + "loss": 0.9729, + "step": 12704 + }, + { + "epoch": 0.3, + "grad_norm": 1.76935453261447, + "learning_rate": 1.643118779494439e-05, + "loss": 0.9593, + "step": 12705 + }, + { + "epoch": 0.3, + "grad_norm": 1.8839346862827882, + "learning_rate": 1.6430603464988982e-05, + "loss": 0.8295, + "step": 12706 + }, + { + "epoch": 0.3, + "grad_norm": 2.21114189786239, + "learning_rate": 1.6430019097592567e-05, + "loss": 0.844, + "step": 12707 + }, + { + "epoch": 0.3, + "grad_norm": 1.5444527620174695, + "learning_rate": 1.6429434692758542e-05, + "loss": 0.9894, + "step": 12708 + }, + { + "epoch": 0.3, + "grad_norm": 1.4039737823260006, + "learning_rate": 1.6428850250490317e-05, + "loss": 0.8089, + "step": 12709 + }, + { + "epoch": 0.3, + "grad_norm": 1.8634149792178707, + "learning_rate": 1.642826577079129e-05, + "loss": 0.9, + "step": 12710 + }, + { + "epoch": 0.3, + "grad_norm": 1.6145665561649727, + "learning_rate": 1.6427681253664863e-05, + "loss": 0.8977, + "step": 12711 + }, + { + "epoch": 0.3, + "grad_norm": 1.5499514590911352, + "learning_rate": 1.642709669911444e-05, + "loss": 0.7554, + "step": 12712 + }, + { + "epoch": 0.3, + "grad_norm": 1.6144036989312172, + "learning_rate": 1.642651210714343e-05, + "loss": 0.8531, + "step": 12713 + }, + { + "epoch": 0.3, + "grad_norm": 1.5993323669206696, + "learning_rate": 1.6425927477755227e-05, + "loss": 0.8204, + "step": 12714 + }, + { + "epoch": 0.3, + "grad_norm": 1.8693888430079513, + "learning_rate": 1.642534281095324e-05, + "loss": 0.891, + "step": 12715 + }, + { + "epoch": 0.3, + "grad_norm": 1.6334175257912775, + "learning_rate": 1.6424758106740874e-05, + "loss": 0.9687, + "step": 12716 + }, + { + "epoch": 0.3, + "grad_norm": 1.6792998689480663, + "learning_rate": 1.642417336512153e-05, + "loss": 0.914, + "step": 12717 + }, + { + "epoch": 0.3, + "grad_norm": 0.8357341921735465, + "learning_rate": 1.642358858609862e-05, + "loss": 0.6853, + "step": 12718 + }, + { + "epoch": 0.3, + "grad_norm": 1.6567062936070427, + "learning_rate": 1.642300376967554e-05, + "loss": 0.9678, + "step": 12719 + }, + { + "epoch": 0.3, + "grad_norm": 4.88484072829485, + "learning_rate": 1.64224189158557e-05, + "loss": 0.8866, + "step": 12720 + }, + { + "epoch": 0.3, + "grad_norm": 0.8379271309728884, + "learning_rate": 1.64218340246425e-05, + "loss": 0.6944, + "step": 12721 + }, + { + "epoch": 0.3, + "grad_norm": 1.737613117894055, + "learning_rate": 1.6421249096039352e-05, + "loss": 0.8656, + "step": 12722 + }, + { + "epoch": 0.3, + "grad_norm": 2.042342393293249, + "learning_rate": 1.6420664130049663e-05, + "loss": 0.927, + "step": 12723 + }, + { + "epoch": 0.3, + "grad_norm": 1.8502158450404118, + "learning_rate": 1.6420079126676828e-05, + "loss": 0.7239, + "step": 12724 + }, + { + "epoch": 0.3, + "grad_norm": 2.682705686916955, + "learning_rate": 1.6419494085924267e-05, + "loss": 0.8467, + "step": 12725 + }, + { + "epoch": 0.3, + "grad_norm": 0.8330676801048547, + "learning_rate": 1.6418909007795374e-05, + "loss": 0.8018, + "step": 12726 + }, + { + "epoch": 0.3, + "grad_norm": 1.7127942084602337, + "learning_rate": 1.641832389229356e-05, + "loss": 0.9653, + "step": 12727 + }, + { + "epoch": 0.3, + "grad_norm": 1.8644343927482594, + "learning_rate": 1.6417738739422234e-05, + "loss": 0.9624, + "step": 12728 + }, + { + "epoch": 0.3, + "grad_norm": 1.529511881282163, + "learning_rate": 1.64171535491848e-05, + "loss": 0.8881, + "step": 12729 + }, + { + "epoch": 0.3, + "grad_norm": 1.5762863326828658, + "learning_rate": 1.6416568321584668e-05, + "loss": 0.8619, + "step": 12730 + }, + { + "epoch": 0.3, + "grad_norm": 0.7382667898188722, + "learning_rate": 1.641598305662524e-05, + "loss": 0.8002, + "step": 12731 + }, + { + "epoch": 0.3, + "grad_norm": 1.6658611930736191, + "learning_rate": 1.641539775430993e-05, + "loss": 0.8743, + "step": 12732 + }, + { + "epoch": 0.3, + "grad_norm": 1.6293978253812245, + "learning_rate": 1.6414812414642144e-05, + "loss": 0.8947, + "step": 12733 + }, + { + "epoch": 0.3, + "grad_norm": 0.7789797781612189, + "learning_rate": 1.6414227037625288e-05, + "loss": 0.747, + "step": 12734 + }, + { + "epoch": 0.3, + "grad_norm": 1.8322975975529627, + "learning_rate": 1.6413641623262774e-05, + "loss": 0.9139, + "step": 12735 + }, + { + "epoch": 0.3, + "grad_norm": 1.57625825619699, + "learning_rate": 1.6413056171558006e-05, + "loss": 0.9247, + "step": 12736 + }, + { + "epoch": 0.3, + "grad_norm": 2.7992217973061835, + "learning_rate": 1.6412470682514396e-05, + "loss": 0.8824, + "step": 12737 + }, + { + "epoch": 0.3, + "grad_norm": 3.0764007816031356, + "learning_rate": 1.641188515613535e-05, + "loss": 0.9008, + "step": 12738 + }, + { + "epoch": 0.3, + "grad_norm": 1.6586252317375287, + "learning_rate": 1.6411299592424276e-05, + "loss": 0.9018, + "step": 12739 + }, + { + "epoch": 0.3, + "grad_norm": 1.6683414202594598, + "learning_rate": 1.641071399138459e-05, + "loss": 0.8913, + "step": 12740 + }, + { + "epoch": 0.3, + "grad_norm": 1.8504437700231267, + "learning_rate": 1.6410128353019697e-05, + "loss": 0.8791, + "step": 12741 + }, + { + "epoch": 0.3, + "grad_norm": 1.5386448314767698, + "learning_rate": 1.6409542677333007e-05, + "loss": 0.8776, + "step": 12742 + }, + { + "epoch": 0.3, + "grad_norm": 1.508588370016059, + "learning_rate": 1.640895696432793e-05, + "loss": 0.8646, + "step": 12743 + }, + { + "epoch": 0.3, + "grad_norm": 1.9756674666041365, + "learning_rate": 1.6408371214007876e-05, + "loss": 0.9563, + "step": 12744 + }, + { + "epoch": 0.3, + "grad_norm": 1.7034440610675692, + "learning_rate": 1.6407785426376258e-05, + "loss": 0.862, + "step": 12745 + }, + { + "epoch": 0.3, + "grad_norm": 2.888878643316328, + "learning_rate": 1.640719960143648e-05, + "loss": 0.9109, + "step": 12746 + }, + { + "epoch": 0.3, + "grad_norm": 1.5005490916323536, + "learning_rate": 1.6406613739191964e-05, + "loss": 0.9555, + "step": 12747 + }, + { + "epoch": 0.3, + "grad_norm": 1.7228457151440122, + "learning_rate": 1.640602783964611e-05, + "loss": 0.9245, + "step": 12748 + }, + { + "epoch": 0.3, + "grad_norm": 1.6648532718504356, + "learning_rate": 1.6405441902802334e-05, + "loss": 0.9558, + "step": 12749 + }, + { + "epoch": 0.3, + "grad_norm": 2.43347695523253, + "learning_rate": 1.640485592866405e-05, + "loss": 0.8842, + "step": 12750 + }, + { + "epoch": 0.3, + "grad_norm": 0.8202044253312699, + "learning_rate": 1.6404269917234662e-05, + "loss": 0.7318, + "step": 12751 + }, + { + "epoch": 0.3, + "grad_norm": 0.7964682224875849, + "learning_rate": 1.6403683868517593e-05, + "loss": 0.7877, + "step": 12752 + }, + { + "epoch": 0.3, + "grad_norm": 1.5232583460630635, + "learning_rate": 1.6403097782516244e-05, + "loss": 0.9892, + "step": 12753 + }, + { + "epoch": 0.3, + "grad_norm": 2.2212407953884, + "learning_rate": 1.6402511659234038e-05, + "loss": 0.8195, + "step": 12754 + }, + { + "epoch": 0.3, + "grad_norm": 1.4911702468797055, + "learning_rate": 1.640192549867438e-05, + "loss": 0.8245, + "step": 12755 + }, + { + "epoch": 0.3, + "grad_norm": 1.7084085511414875, + "learning_rate": 1.6401339300840683e-05, + "loss": 0.8746, + "step": 12756 + }, + { + "epoch": 0.3, + "grad_norm": 2.077659962862526, + "learning_rate": 1.640075306573636e-05, + "loss": 0.8987, + "step": 12757 + }, + { + "epoch": 0.3, + "grad_norm": 1.8404539065833108, + "learning_rate": 1.6400166793364828e-05, + "loss": 0.9309, + "step": 12758 + }, + { + "epoch": 0.3, + "grad_norm": 1.6439193221689645, + "learning_rate": 1.63995804837295e-05, + "loss": 1.0063, + "step": 12759 + }, + { + "epoch": 0.3, + "grad_norm": 1.6877373694616915, + "learning_rate": 1.639899413683379e-05, + "loss": 0.8167, + "step": 12760 + }, + { + "epoch": 0.3, + "grad_norm": 2.2790556758990355, + "learning_rate": 1.6398407752681108e-05, + "loss": 0.9474, + "step": 12761 + }, + { + "epoch": 0.3, + "grad_norm": 1.5857153891904505, + "learning_rate": 1.6397821331274872e-05, + "loss": 0.9777, + "step": 12762 + }, + { + "epoch": 0.3, + "grad_norm": 2.026584276325081, + "learning_rate": 1.639723487261849e-05, + "loss": 0.8778, + "step": 12763 + }, + { + "epoch": 0.3, + "grad_norm": 1.6155990207507454, + "learning_rate": 1.639664837671539e-05, + "loss": 0.9319, + "step": 12764 + }, + { + "epoch": 0.3, + "grad_norm": 1.6258179487191011, + "learning_rate": 1.6396061843568973e-05, + "loss": 0.9787, + "step": 12765 + }, + { + "epoch": 0.3, + "grad_norm": 1.8819588703379448, + "learning_rate": 1.6395475273182655e-05, + "loss": 1.0489, + "step": 12766 + }, + { + "epoch": 0.3, + "grad_norm": 1.9441999878145146, + "learning_rate": 1.6394888665559857e-05, + "loss": 0.8956, + "step": 12767 + }, + { + "epoch": 0.3, + "grad_norm": 1.5818106572754553, + "learning_rate": 1.6394302020703995e-05, + "loss": 0.8288, + "step": 12768 + }, + { + "epoch": 0.3, + "grad_norm": 1.664173362905175, + "learning_rate": 1.6393715338618483e-05, + "loss": 0.9504, + "step": 12769 + }, + { + "epoch": 0.3, + "grad_norm": 2.259188030034506, + "learning_rate": 1.6393128619306734e-05, + "loss": 0.98, + "step": 12770 + }, + { + "epoch": 0.3, + "grad_norm": 2.0846159745380124, + "learning_rate": 1.6392541862772166e-05, + "loss": 0.8207, + "step": 12771 + }, + { + "epoch": 0.3, + "grad_norm": 0.7475679500050082, + "learning_rate": 1.6391955069018198e-05, + "loss": 0.7697, + "step": 12772 + }, + { + "epoch": 0.3, + "grad_norm": 1.6405390293474778, + "learning_rate": 1.639136823804824e-05, + "loss": 0.8485, + "step": 12773 + }, + { + "epoch": 0.3, + "grad_norm": 1.7381125066523966, + "learning_rate": 1.6390781369865715e-05, + "loss": 0.9102, + "step": 12774 + }, + { + "epoch": 0.3, + "grad_norm": 1.6903563830096886, + "learning_rate": 1.6390194464474038e-05, + "loss": 0.8877, + "step": 12775 + }, + { + "epoch": 0.3, + "grad_norm": 1.7621563662267818, + "learning_rate": 1.6389607521876625e-05, + "loss": 0.8411, + "step": 12776 + }, + { + "epoch": 0.3, + "grad_norm": 2.336151651316932, + "learning_rate": 1.6389020542076898e-05, + "loss": 0.8571, + "step": 12777 + }, + { + "epoch": 0.3, + "grad_norm": 0.733982169421019, + "learning_rate": 1.6388433525078266e-05, + "loss": 0.7526, + "step": 12778 + }, + { + "epoch": 0.3, + "grad_norm": 1.6084483973228527, + "learning_rate": 1.6387846470884154e-05, + "loss": 0.9251, + "step": 12779 + }, + { + "epoch": 0.3, + "grad_norm": 2.267468156230357, + "learning_rate": 1.6387259379497973e-05, + "loss": 0.8746, + "step": 12780 + }, + { + "epoch": 0.3, + "grad_norm": 1.5346877582178646, + "learning_rate": 1.638667225092315e-05, + "loss": 0.9921, + "step": 12781 + }, + { + "epoch": 0.3, + "grad_norm": 1.9820419447782867, + "learning_rate": 1.6386085085163096e-05, + "loss": 0.9032, + "step": 12782 + }, + { + "epoch": 0.3, + "grad_norm": 2.1260578233788805, + "learning_rate": 1.6385497882221236e-05, + "loss": 0.858, + "step": 12783 + }, + { + "epoch": 0.3, + "grad_norm": 1.6207722688557575, + "learning_rate": 1.6384910642100983e-05, + "loss": 0.785, + "step": 12784 + }, + { + "epoch": 0.3, + "grad_norm": 0.7783645155862117, + "learning_rate": 1.6384323364805762e-05, + "loss": 0.7437, + "step": 12785 + }, + { + "epoch": 0.3, + "grad_norm": 1.9101246522834352, + "learning_rate": 1.6383736050338984e-05, + "loss": 0.9141, + "step": 12786 + }, + { + "epoch": 0.3, + "grad_norm": 1.7193441073686582, + "learning_rate": 1.638314869870408e-05, + "loss": 0.9042, + "step": 12787 + }, + { + "epoch": 0.3, + "grad_norm": 1.6523179256983478, + "learning_rate": 1.6382561309904457e-05, + "loss": 0.9753, + "step": 12788 + }, + { + "epoch": 0.3, + "grad_norm": 2.0728348658474554, + "learning_rate": 1.6381973883943546e-05, + "loss": 0.9171, + "step": 12789 + }, + { + "epoch": 0.3, + "grad_norm": 1.6935259740927417, + "learning_rate": 1.6381386420824763e-05, + "loss": 0.8849, + "step": 12790 + }, + { + "epoch": 0.3, + "grad_norm": 1.7515782944511504, + "learning_rate": 1.6380798920551526e-05, + "loss": 0.8309, + "step": 12791 + }, + { + "epoch": 0.3, + "grad_norm": 1.8296490302208404, + "learning_rate": 1.6380211383127255e-05, + "loss": 0.9221, + "step": 12792 + }, + { + "epoch": 0.3, + "grad_norm": 1.8689823324019477, + "learning_rate": 1.637962380855538e-05, + "loss": 0.8066, + "step": 12793 + }, + { + "epoch": 0.3, + "grad_norm": 1.7376657165815874, + "learning_rate": 1.637903619683931e-05, + "loss": 0.806, + "step": 12794 + }, + { + "epoch": 0.3, + "grad_norm": 2.4810757242158656, + "learning_rate": 1.6378448547982473e-05, + "loss": 0.8234, + "step": 12795 + }, + { + "epoch": 0.3, + "grad_norm": 1.778269412678106, + "learning_rate": 1.6377860861988288e-05, + "loss": 1.0414, + "step": 12796 + }, + { + "epoch": 0.3, + "grad_norm": 1.5736207290555737, + "learning_rate": 1.6377273138860182e-05, + "loss": 1.0684, + "step": 12797 + }, + { + "epoch": 0.3, + "grad_norm": 1.9108990429484334, + "learning_rate": 1.637668537860157e-05, + "loss": 0.9255, + "step": 12798 + }, + { + "epoch": 0.3, + "grad_norm": 1.910671810530706, + "learning_rate": 1.6376097581215874e-05, + "loss": 0.9441, + "step": 12799 + }, + { + "epoch": 0.3, + "grad_norm": 1.9657321679272581, + "learning_rate": 1.6375509746706523e-05, + "loss": 0.9048, + "step": 12800 + }, + { + "epoch": 0.3, + "grad_norm": 1.610216791138144, + "learning_rate": 1.6374921875076933e-05, + "loss": 0.8677, + "step": 12801 + }, + { + "epoch": 0.3, + "grad_norm": 1.6751099849359652, + "learning_rate": 1.6374333966330535e-05, + "loss": 0.8704, + "step": 12802 + }, + { + "epoch": 0.3, + "grad_norm": 1.5602707083802219, + "learning_rate": 1.637374602047074e-05, + "loss": 0.9089, + "step": 12803 + }, + { + "epoch": 0.3, + "grad_norm": 1.8335633389215515, + "learning_rate": 1.6373158037500984e-05, + "loss": 0.9157, + "step": 12804 + }, + { + "epoch": 0.3, + "grad_norm": 2.5000245657124602, + "learning_rate": 1.6372570017424682e-05, + "loss": 0.9369, + "step": 12805 + }, + { + "epoch": 0.3, + "grad_norm": 1.6499295580643996, + "learning_rate": 1.6371981960245257e-05, + "loss": 1.0529, + "step": 12806 + }, + { + "epoch": 0.3, + "grad_norm": 0.8624058394247289, + "learning_rate": 1.6371393865966137e-05, + "loss": 0.7886, + "step": 12807 + }, + { + "epoch": 0.3, + "grad_norm": 1.5372443571020245, + "learning_rate": 1.6370805734590746e-05, + "loss": 0.9216, + "step": 12808 + }, + { + "epoch": 0.3, + "grad_norm": 2.1620474209799796, + "learning_rate": 1.6370217566122505e-05, + "loss": 0.9007, + "step": 12809 + }, + { + "epoch": 0.3, + "grad_norm": 1.6673107881211873, + "learning_rate": 1.6369629360564845e-05, + "loss": 0.8178, + "step": 12810 + }, + { + "epoch": 0.3, + "grad_norm": 1.7554407649081292, + "learning_rate": 1.6369041117921183e-05, + "loss": 0.8546, + "step": 12811 + }, + { + "epoch": 0.3, + "grad_norm": 1.5235032446824275, + "learning_rate": 1.6368452838194947e-05, + "loss": 0.8848, + "step": 12812 + }, + { + "epoch": 0.3, + "grad_norm": 1.6472053406934561, + "learning_rate": 1.6367864521389563e-05, + "loss": 1.0285, + "step": 12813 + }, + { + "epoch": 0.3, + "grad_norm": 1.949421187141664, + "learning_rate": 1.6367276167508456e-05, + "loss": 0.9809, + "step": 12814 + }, + { + "epoch": 0.3, + "grad_norm": 1.5509372470459675, + "learning_rate": 1.636668777655505e-05, + "loss": 0.7733, + "step": 12815 + }, + { + "epoch": 0.3, + "grad_norm": 1.64881510969619, + "learning_rate": 1.6366099348532777e-05, + "loss": 0.8832, + "step": 12816 + }, + { + "epoch": 0.3, + "grad_norm": 1.841983135880127, + "learning_rate": 1.636551088344505e-05, + "loss": 0.8983, + "step": 12817 + }, + { + "epoch": 0.3, + "grad_norm": 1.740249231009645, + "learning_rate": 1.636492238129531e-05, + "loss": 0.8038, + "step": 12818 + }, + { + "epoch": 0.3, + "grad_norm": 1.6934644227625244, + "learning_rate": 1.636433384208697e-05, + "loss": 0.8878, + "step": 12819 + }, + { + "epoch": 0.3, + "grad_norm": 1.698168868468206, + "learning_rate": 1.636374526582347e-05, + "loss": 0.8546, + "step": 12820 + }, + { + "epoch": 0.3, + "grad_norm": 1.6613468267812106, + "learning_rate": 1.636315665250823e-05, + "loss": 0.9891, + "step": 12821 + }, + { + "epoch": 0.3, + "grad_norm": 1.6448672729404379, + "learning_rate": 1.636256800214467e-05, + "loss": 0.8712, + "step": 12822 + }, + { + "epoch": 0.3, + "grad_norm": 2.0135220894896446, + "learning_rate": 1.6361979314736233e-05, + "loss": 0.947, + "step": 12823 + }, + { + "epoch": 0.3, + "grad_norm": 1.6953336395000993, + "learning_rate": 1.6361390590286336e-05, + "loss": 0.8827, + "step": 12824 + }, + { + "epoch": 0.3, + "grad_norm": 1.5677549064415652, + "learning_rate": 1.636080182879841e-05, + "loss": 0.9679, + "step": 12825 + }, + { + "epoch": 0.3, + "grad_norm": 2.042751117946678, + "learning_rate": 1.636021303027588e-05, + "loss": 0.8739, + "step": 12826 + }, + { + "epoch": 0.3, + "grad_norm": 1.7536117271842493, + "learning_rate": 1.6359624194722176e-05, + "loss": 0.9807, + "step": 12827 + }, + { + "epoch": 0.3, + "grad_norm": 1.8229931298643394, + "learning_rate": 1.6359035322140727e-05, + "loss": 0.8609, + "step": 12828 + }, + { + "epoch": 0.3, + "grad_norm": 1.919245380907971, + "learning_rate": 1.635844641253496e-05, + "loss": 0.7683, + "step": 12829 + }, + { + "epoch": 0.3, + "grad_norm": 1.7950669289109467, + "learning_rate": 1.6357857465908308e-05, + "loss": 0.8458, + "step": 12830 + }, + { + "epoch": 0.3, + "grad_norm": 1.8178132066961037, + "learning_rate": 1.6357268482264195e-05, + "loss": 0.9011, + "step": 12831 + }, + { + "epoch": 0.3, + "grad_norm": 2.079059637964745, + "learning_rate": 1.6356679461606052e-05, + "loss": 0.8731, + "step": 12832 + }, + { + "epoch": 0.3, + "grad_norm": 6.595108493855602, + "learning_rate": 1.6356090403937307e-05, + "loss": 0.9242, + "step": 12833 + }, + { + "epoch": 0.3, + "grad_norm": 1.8360354646901407, + "learning_rate": 1.6355501309261398e-05, + "loss": 0.8362, + "step": 12834 + }, + { + "epoch": 0.3, + "grad_norm": 1.5869720938415608, + "learning_rate": 1.6354912177581743e-05, + "loss": 0.9642, + "step": 12835 + }, + { + "epoch": 0.3, + "grad_norm": 1.5456547843883832, + "learning_rate": 1.6354323008901774e-05, + "loss": 0.9813, + "step": 12836 + }, + { + "epoch": 0.3, + "grad_norm": 1.6128558624783782, + "learning_rate": 1.635373380322493e-05, + "loss": 0.9588, + "step": 12837 + }, + { + "epoch": 0.3, + "grad_norm": 1.7981551726050766, + "learning_rate": 1.6353144560554636e-05, + "loss": 0.9416, + "step": 12838 + }, + { + "epoch": 0.3, + "grad_norm": 1.6269641581901961, + "learning_rate": 1.6352555280894323e-05, + "loss": 0.8761, + "step": 12839 + }, + { + "epoch": 0.3, + "grad_norm": 1.7433884730829896, + "learning_rate": 1.635196596424742e-05, + "loss": 0.9443, + "step": 12840 + }, + { + "epoch": 0.3, + "grad_norm": 1.3584789643948354, + "learning_rate": 1.635137661061736e-05, + "loss": 0.8927, + "step": 12841 + }, + { + "epoch": 0.3, + "grad_norm": 1.724981428692839, + "learning_rate": 1.6350787220007576e-05, + "loss": 1.0974, + "step": 12842 + }, + { + "epoch": 0.3, + "grad_norm": 1.5657386205000088, + "learning_rate": 1.6350197792421497e-05, + "loss": 1.0133, + "step": 12843 + }, + { + "epoch": 0.3, + "grad_norm": 2.317910519922149, + "learning_rate": 1.634960832786256e-05, + "loss": 0.848, + "step": 12844 + }, + { + "epoch": 0.3, + "grad_norm": 0.7909962644017927, + "learning_rate": 1.6349018826334188e-05, + "loss": 0.7373, + "step": 12845 + }, + { + "epoch": 0.3, + "grad_norm": 1.9651299643742872, + "learning_rate": 1.634842928783982e-05, + "loss": 0.9403, + "step": 12846 + }, + { + "epoch": 0.3, + "grad_norm": 1.6947510021954937, + "learning_rate": 1.6347839712382887e-05, + "loss": 0.8739, + "step": 12847 + }, + { + "epoch": 0.3, + "grad_norm": 1.7187272701433451, + "learning_rate": 1.6347250099966823e-05, + "loss": 0.9269, + "step": 12848 + }, + { + "epoch": 0.3, + "grad_norm": 2.3871849257123934, + "learning_rate": 1.6346660450595058e-05, + "loss": 0.9584, + "step": 12849 + }, + { + "epoch": 0.3, + "grad_norm": 1.911027888206191, + "learning_rate": 1.6346070764271025e-05, + "loss": 0.9906, + "step": 12850 + }, + { + "epoch": 0.3, + "grad_norm": 2.186985607794059, + "learning_rate": 1.6345481040998163e-05, + "loss": 0.8016, + "step": 12851 + }, + { + "epoch": 0.3, + "grad_norm": 1.534522710267964, + "learning_rate": 1.6344891280779894e-05, + "loss": 0.9244, + "step": 12852 + }, + { + "epoch": 0.3, + "grad_norm": 1.6225453606756697, + "learning_rate": 1.6344301483619666e-05, + "loss": 0.8659, + "step": 12853 + }, + { + "epoch": 0.3, + "grad_norm": 0.840491320614252, + "learning_rate": 1.6343711649520904e-05, + "loss": 0.7579, + "step": 12854 + }, + { + "epoch": 0.3, + "grad_norm": 1.6690989123560658, + "learning_rate": 1.6343121778487047e-05, + "loss": 0.8981, + "step": 12855 + }, + { + "epoch": 0.3, + "grad_norm": 1.5985077893083122, + "learning_rate": 1.6342531870521523e-05, + "loss": 0.9555, + "step": 12856 + }, + { + "epoch": 0.3, + "grad_norm": 1.5082371645212937, + "learning_rate": 1.634194192562777e-05, + "loss": 0.9175, + "step": 12857 + }, + { + "epoch": 0.3, + "grad_norm": 1.8475202780756008, + "learning_rate": 1.6341351943809228e-05, + "loss": 0.7134, + "step": 12858 + }, + { + "epoch": 0.3, + "grad_norm": 1.704501516017322, + "learning_rate": 1.634076192506932e-05, + "loss": 0.9489, + "step": 12859 + }, + { + "epoch": 0.3, + "grad_norm": 1.7112380193121852, + "learning_rate": 1.6340171869411497e-05, + "loss": 0.967, + "step": 12860 + }, + { + "epoch": 0.3, + "grad_norm": 1.7713694423283044, + "learning_rate": 1.633958177683918e-05, + "loss": 0.9708, + "step": 12861 + }, + { + "epoch": 0.3, + "grad_norm": 1.4648417418585364, + "learning_rate": 1.6338991647355812e-05, + "loss": 0.9664, + "step": 12862 + }, + { + "epoch": 0.3, + "grad_norm": 1.9736975364056035, + "learning_rate": 1.6338401480964832e-05, + "loss": 0.9451, + "step": 12863 + }, + { + "epoch": 0.3, + "grad_norm": 1.822081420136393, + "learning_rate": 1.633781127766967e-05, + "loss": 1.0876, + "step": 12864 + }, + { + "epoch": 0.3, + "grad_norm": 1.9151057348792364, + "learning_rate": 1.633722103747376e-05, + "loss": 0.916, + "step": 12865 + }, + { + "epoch": 0.3, + "grad_norm": 2.2177770725536035, + "learning_rate": 1.6336630760380546e-05, + "loss": 0.8675, + "step": 12866 + }, + { + "epoch": 0.3, + "grad_norm": 1.6706136364659676, + "learning_rate": 1.633604044639346e-05, + "loss": 1.0051, + "step": 12867 + }, + { + "epoch": 0.3, + "grad_norm": 1.7964623265337485, + "learning_rate": 1.6335450095515944e-05, + "loss": 0.9459, + "step": 12868 + }, + { + "epoch": 0.3, + "grad_norm": 1.5890439067080004, + "learning_rate": 1.633485970775143e-05, + "loss": 1.0121, + "step": 12869 + }, + { + "epoch": 0.3, + "grad_norm": 1.905585896576535, + "learning_rate": 1.6334269283103353e-05, + "loss": 0.8586, + "step": 12870 + }, + { + "epoch": 0.3, + "grad_norm": 1.5232194219063269, + "learning_rate": 1.633367882157516e-05, + "loss": 0.9131, + "step": 12871 + }, + { + "epoch": 0.3, + "grad_norm": 2.943550389961239, + "learning_rate": 1.6333088323170285e-05, + "loss": 0.9754, + "step": 12872 + }, + { + "epoch": 0.3, + "grad_norm": 4.195589364449735, + "learning_rate": 1.633249778789216e-05, + "loss": 0.7872, + "step": 12873 + }, + { + "epoch": 0.3, + "grad_norm": 1.6140476063151559, + "learning_rate": 1.633190721574423e-05, + "loss": 0.8585, + "step": 12874 + }, + { + "epoch": 0.3, + "grad_norm": 1.5817685964448631, + "learning_rate": 1.633131660672993e-05, + "loss": 0.9745, + "step": 12875 + }, + { + "epoch": 0.3, + "grad_norm": 2.585737317772975, + "learning_rate": 1.6330725960852706e-05, + "loss": 0.8864, + "step": 12876 + }, + { + "epoch": 0.3, + "grad_norm": 2.236048368432106, + "learning_rate": 1.6330135278115988e-05, + "loss": 0.8332, + "step": 12877 + }, + { + "epoch": 0.3, + "grad_norm": 1.6544071629807708, + "learning_rate": 1.6329544558523212e-05, + "loss": 0.951, + "step": 12878 + }, + { + "epoch": 0.3, + "grad_norm": 1.864343940595966, + "learning_rate": 1.6328953802077833e-05, + "loss": 0.9693, + "step": 12879 + }, + { + "epoch": 0.3, + "grad_norm": 1.6808166415771415, + "learning_rate": 1.6328363008783274e-05, + "loss": 0.9067, + "step": 12880 + }, + { + "epoch": 0.3, + "grad_norm": 1.7329253551158437, + "learning_rate": 1.6327772178642986e-05, + "loss": 0.8106, + "step": 12881 + }, + { + "epoch": 0.3, + "grad_norm": 1.935016382597704, + "learning_rate": 1.6327181311660406e-05, + "loss": 0.8988, + "step": 12882 + }, + { + "epoch": 0.3, + "grad_norm": 0.8352431978142267, + "learning_rate": 1.632659040783897e-05, + "loss": 0.7576, + "step": 12883 + }, + { + "epoch": 0.3, + "grad_norm": 1.6009814665826183, + "learning_rate": 1.6325999467182123e-05, + "loss": 1.0477, + "step": 12884 + }, + { + "epoch": 0.3, + "grad_norm": 1.805369348346411, + "learning_rate": 1.6325408489693308e-05, + "loss": 0.9047, + "step": 12885 + }, + { + "epoch": 0.3, + "grad_norm": 1.7736287736922853, + "learning_rate": 1.6324817475375957e-05, + "loss": 0.9151, + "step": 12886 + }, + { + "epoch": 0.3, + "grad_norm": 0.7662698596812607, + "learning_rate": 1.6324226424233517e-05, + "loss": 0.7571, + "step": 12887 + }, + { + "epoch": 0.3, + "grad_norm": 1.7380520789094815, + "learning_rate": 1.632363533626943e-05, + "loss": 0.9624, + "step": 12888 + }, + { + "epoch": 0.3, + "grad_norm": 1.6393649729424336, + "learning_rate": 1.6323044211487135e-05, + "loss": 0.8879, + "step": 12889 + }, + { + "epoch": 0.3, + "grad_norm": 1.7329264906504114, + "learning_rate": 1.6322453049890078e-05, + "loss": 1.0315, + "step": 12890 + }, + { + "epoch": 0.3, + "grad_norm": 1.6374715821839914, + "learning_rate": 1.6321861851481693e-05, + "loss": 0.8524, + "step": 12891 + }, + { + "epoch": 0.3, + "grad_norm": 0.7949833676269152, + "learning_rate": 1.632127061626543e-05, + "loss": 0.6936, + "step": 12892 + }, + { + "epoch": 0.3, + "grad_norm": 1.4744797932494838, + "learning_rate": 1.6320679344244727e-05, + "loss": 0.983, + "step": 12893 + }, + { + "epoch": 0.3, + "grad_norm": 1.6075107841488068, + "learning_rate": 1.6320088035423027e-05, + "loss": 0.9346, + "step": 12894 + }, + { + "epoch": 0.3, + "grad_norm": 1.6266602800045102, + "learning_rate": 1.6319496689803775e-05, + "loss": 0.842, + "step": 12895 + }, + { + "epoch": 0.3, + "grad_norm": 1.5470811870406405, + "learning_rate": 1.6318905307390412e-05, + "loss": 0.8658, + "step": 12896 + }, + { + "epoch": 0.3, + "grad_norm": 1.9434230544359605, + "learning_rate": 1.6318313888186383e-05, + "loss": 0.9379, + "step": 12897 + }, + { + "epoch": 0.3, + "grad_norm": 2.1970009902963046, + "learning_rate": 1.6317722432195127e-05, + "loss": 0.9698, + "step": 12898 + }, + { + "epoch": 0.3, + "grad_norm": 1.5096636187297459, + "learning_rate": 1.6317130939420093e-05, + "loss": 0.8739, + "step": 12899 + }, + { + "epoch": 0.3, + "grad_norm": 0.7885053867933757, + "learning_rate": 1.6316539409864724e-05, + "loss": 0.7454, + "step": 12900 + }, + { + "epoch": 0.3, + "grad_norm": 2.9533688360239148, + "learning_rate": 1.631594784353246e-05, + "loss": 0.912, + "step": 12901 + }, + { + "epoch": 0.3, + "grad_norm": 1.6615916370766306, + "learning_rate": 1.631535624042675e-05, + "loss": 0.9849, + "step": 12902 + }, + { + "epoch": 0.3, + "grad_norm": 1.4330562415148913, + "learning_rate": 1.6314764600551035e-05, + "loss": 0.8695, + "step": 12903 + }, + { + "epoch": 0.3, + "grad_norm": 1.5404316511978406, + "learning_rate": 1.6314172923908764e-05, + "loss": 0.9865, + "step": 12904 + }, + { + "epoch": 0.3, + "grad_norm": 1.6986545650535563, + "learning_rate": 1.6313581210503375e-05, + "loss": 0.9354, + "step": 12905 + }, + { + "epoch": 0.3, + "grad_norm": 1.5423475559300348, + "learning_rate": 1.631298946033832e-05, + "loss": 0.7542, + "step": 12906 + }, + { + "epoch": 0.3, + "grad_norm": 2.300435934885311, + "learning_rate": 1.6312397673417043e-05, + "loss": 0.9208, + "step": 12907 + }, + { + "epoch": 0.3, + "grad_norm": 1.771428258063162, + "learning_rate": 1.6311805849742984e-05, + "loss": 0.7882, + "step": 12908 + }, + { + "epoch": 0.3, + "grad_norm": 2.3027635155087536, + "learning_rate": 1.6311213989319598e-05, + "loss": 0.8546, + "step": 12909 + }, + { + "epoch": 0.3, + "grad_norm": 1.499922811861658, + "learning_rate": 1.6310622092150323e-05, + "loss": 0.9151, + "step": 12910 + }, + { + "epoch": 0.3, + "grad_norm": 1.7431585858429965, + "learning_rate": 1.631003015823861e-05, + "loss": 0.9763, + "step": 12911 + }, + { + "epoch": 0.3, + "grad_norm": 1.5051530446508214, + "learning_rate": 1.63094381875879e-05, + "loss": 0.7997, + "step": 12912 + }, + { + "epoch": 0.3, + "grad_norm": 1.5496967790549254, + "learning_rate": 1.630884618020165e-05, + "loss": 0.9104, + "step": 12913 + }, + { + "epoch": 0.3, + "grad_norm": 1.9545024709324035, + "learning_rate": 1.6308254136083295e-05, + "loss": 1.0091, + "step": 12914 + }, + { + "epoch": 0.3, + "grad_norm": 1.5804964845882243, + "learning_rate": 1.6307662055236288e-05, + "loss": 1.0018, + "step": 12915 + }, + { + "epoch": 0.3, + "grad_norm": 1.646123796088457, + "learning_rate": 1.6307069937664077e-05, + "loss": 0.8515, + "step": 12916 + }, + { + "epoch": 0.3, + "grad_norm": 0.8062588663681306, + "learning_rate": 1.6306477783370108e-05, + "loss": 0.7604, + "step": 12917 + }, + { + "epoch": 0.3, + "grad_norm": 1.5749459114121385, + "learning_rate": 1.6305885592357826e-05, + "loss": 0.89, + "step": 12918 + }, + { + "epoch": 0.3, + "grad_norm": 1.79327095929695, + "learning_rate": 1.6305293364630684e-05, + "loss": 0.985, + "step": 12919 + }, + { + "epoch": 0.3, + "grad_norm": 1.6881298698265423, + "learning_rate": 1.630470110019213e-05, + "loss": 0.9028, + "step": 12920 + }, + { + "epoch": 0.3, + "grad_norm": 1.5646264029979757, + "learning_rate": 1.6304108799045607e-05, + "loss": 1.054, + "step": 12921 + }, + { + "epoch": 0.3, + "grad_norm": 3.567025145294003, + "learning_rate": 1.6303516461194564e-05, + "loss": 0.9815, + "step": 12922 + }, + { + "epoch": 0.3, + "grad_norm": 1.553475071716242, + "learning_rate": 1.6302924086642456e-05, + "loss": 0.8337, + "step": 12923 + }, + { + "epoch": 0.3, + "grad_norm": 1.5431308240682855, + "learning_rate": 1.6302331675392728e-05, + "loss": 0.9554, + "step": 12924 + }, + { + "epoch": 0.3, + "grad_norm": 2.06446086761192, + "learning_rate": 1.630173922744883e-05, + "loss": 0.9961, + "step": 12925 + }, + { + "epoch": 0.3, + "grad_norm": 0.8683615616819882, + "learning_rate": 1.6301146742814215e-05, + "loss": 0.7525, + "step": 12926 + }, + { + "epoch": 0.3, + "grad_norm": 1.556286526629191, + "learning_rate": 1.630055422149232e-05, + "loss": 0.8785, + "step": 12927 + }, + { + "epoch": 0.3, + "grad_norm": 1.737954735562127, + "learning_rate": 1.6299961663486613e-05, + "loss": 0.946, + "step": 12928 + }, + { + "epoch": 0.3, + "grad_norm": 1.6471552641732812, + "learning_rate": 1.629936906880053e-05, + "loss": 0.8685, + "step": 12929 + }, + { + "epoch": 0.3, + "grad_norm": 0.737161048320795, + "learning_rate": 1.6298776437437526e-05, + "loss": 0.7214, + "step": 12930 + }, + { + "epoch": 0.3, + "grad_norm": 1.6254642298548523, + "learning_rate": 1.629818376940105e-05, + "loss": 0.952, + "step": 12931 + }, + { + "epoch": 0.3, + "grad_norm": 1.4893985516264734, + "learning_rate": 1.6297591064694557e-05, + "loss": 0.9163, + "step": 12932 + }, + { + "epoch": 0.3, + "grad_norm": 1.640520391897133, + "learning_rate": 1.629699832332149e-05, + "loss": 0.9452, + "step": 12933 + }, + { + "epoch": 0.3, + "grad_norm": 1.6199469707225362, + "learning_rate": 1.629640554528531e-05, + "loss": 0.9004, + "step": 12934 + }, + { + "epoch": 0.3, + "grad_norm": 1.5366640389120043, + "learning_rate": 1.629581273058946e-05, + "loss": 0.8905, + "step": 12935 + }, + { + "epoch": 0.3, + "grad_norm": 1.7432851786871626, + "learning_rate": 1.62952198792374e-05, + "loss": 1.0031, + "step": 12936 + }, + { + "epoch": 0.3, + "grad_norm": 0.789918263089038, + "learning_rate": 1.6294626991232574e-05, + "loss": 0.7061, + "step": 12937 + }, + { + "epoch": 0.3, + "grad_norm": 1.5295345629162471, + "learning_rate": 1.6294034066578436e-05, + "loss": 0.9169, + "step": 12938 + }, + { + "epoch": 0.3, + "grad_norm": 2.0089032508152833, + "learning_rate": 1.629344110527844e-05, + "loss": 0.9576, + "step": 12939 + }, + { + "epoch": 0.3, + "grad_norm": 2.0612686230201156, + "learning_rate": 1.6292848107336038e-05, + "loss": 0.917, + "step": 12940 + }, + { + "epoch": 0.3, + "grad_norm": 2.04519732435264, + "learning_rate": 1.6292255072754682e-05, + "loss": 0.8358, + "step": 12941 + }, + { + "epoch": 0.3, + "grad_norm": 1.9495632141039239, + "learning_rate": 1.6291662001537827e-05, + "loss": 0.8949, + "step": 12942 + }, + { + "epoch": 0.3, + "grad_norm": 2.21379624910625, + "learning_rate": 1.629106889368892e-05, + "loss": 0.9182, + "step": 12943 + }, + { + "epoch": 0.3, + "grad_norm": 1.9118804038986161, + "learning_rate": 1.6290475749211417e-05, + "loss": 0.8342, + "step": 12944 + }, + { + "epoch": 0.3, + "grad_norm": 1.8180509073152917, + "learning_rate": 1.6289882568108778e-05, + "loss": 1.0084, + "step": 12945 + }, + { + "epoch": 0.3, + "grad_norm": 0.7992584738611076, + "learning_rate": 1.628928935038445e-05, + "loss": 0.7273, + "step": 12946 + }, + { + "epoch": 0.31, + "grad_norm": 0.7874234352929368, + "learning_rate": 1.6288696096041886e-05, + "loss": 0.7046, + "step": 12947 + }, + { + "epoch": 0.31, + "grad_norm": 1.6528692314900448, + "learning_rate": 1.628810280508454e-05, + "loss": 0.7826, + "step": 12948 + }, + { + "epoch": 0.31, + "grad_norm": 1.9910980592395855, + "learning_rate": 1.6287509477515872e-05, + "loss": 1.0737, + "step": 12949 + }, + { + "epoch": 0.31, + "grad_norm": 1.9530035690020688, + "learning_rate": 1.6286916113339333e-05, + "loss": 0.899, + "step": 12950 + }, + { + "epoch": 0.31, + "grad_norm": 0.7277354129071291, + "learning_rate": 1.628632271255838e-05, + "loss": 0.7277, + "step": 12951 + }, + { + "epoch": 0.31, + "grad_norm": 1.602798477784272, + "learning_rate": 1.6285729275176463e-05, + "loss": 0.8482, + "step": 12952 + }, + { + "epoch": 0.31, + "grad_norm": 1.666896418242102, + "learning_rate": 1.628513580119704e-05, + "loss": 1.0034, + "step": 12953 + }, + { + "epoch": 0.31, + "grad_norm": 2.04944686315921, + "learning_rate": 1.6284542290623568e-05, + "loss": 0.9475, + "step": 12954 + }, + { + "epoch": 0.31, + "grad_norm": 1.6953325988005519, + "learning_rate": 1.62839487434595e-05, + "loss": 0.9425, + "step": 12955 + }, + { + "epoch": 0.31, + "grad_norm": 1.8357234286137356, + "learning_rate": 1.6283355159708297e-05, + "loss": 0.8209, + "step": 12956 + }, + { + "epoch": 0.31, + "grad_norm": 1.6114962280613052, + "learning_rate": 1.6282761539373402e-05, + "loss": 1.0107, + "step": 12957 + }, + { + "epoch": 0.31, + "grad_norm": 2.8968809488983154, + "learning_rate": 1.628216788245829e-05, + "loss": 0.9189, + "step": 12958 + }, + { + "epoch": 0.31, + "grad_norm": 1.6214740768785416, + "learning_rate": 1.6281574188966402e-05, + "loss": 0.8709, + "step": 12959 + }, + { + "epoch": 0.31, + "grad_norm": 2.1503584486724328, + "learning_rate": 1.6280980458901205e-05, + "loss": 0.9854, + "step": 12960 + }, + { + "epoch": 0.31, + "grad_norm": 1.8715295783964765, + "learning_rate": 1.6280386692266142e-05, + "loss": 0.9351, + "step": 12961 + }, + { + "epoch": 0.31, + "grad_norm": 1.485364568090339, + "learning_rate": 1.6279792889064688e-05, + "loss": 0.8794, + "step": 12962 + }, + { + "epoch": 0.31, + "grad_norm": 1.7710836056350723, + "learning_rate": 1.6279199049300288e-05, + "loss": 0.9002, + "step": 12963 + }, + { + "epoch": 0.31, + "grad_norm": 2.0681274929827143, + "learning_rate": 1.6278605172976404e-05, + "loss": 0.8322, + "step": 12964 + }, + { + "epoch": 0.31, + "grad_norm": 2.049202377986188, + "learning_rate": 1.6278011260096495e-05, + "loss": 0.9773, + "step": 12965 + }, + { + "epoch": 0.31, + "grad_norm": 2.361081133877135, + "learning_rate": 1.6277417310664015e-05, + "loss": 0.9947, + "step": 12966 + }, + { + "epoch": 0.31, + "grad_norm": 6.534218247226385, + "learning_rate": 1.6276823324682426e-05, + "loss": 0.8288, + "step": 12967 + }, + { + "epoch": 0.31, + "grad_norm": 2.0912535802355188, + "learning_rate": 1.6276229302155183e-05, + "loss": 0.8705, + "step": 12968 + }, + { + "epoch": 0.31, + "grad_norm": 1.5507150344696041, + "learning_rate": 1.6275635243085743e-05, + "loss": 0.7954, + "step": 12969 + }, + { + "epoch": 0.31, + "grad_norm": 1.6619579723766296, + "learning_rate": 1.6275041147477572e-05, + "loss": 0.8892, + "step": 12970 + }, + { + "epoch": 0.31, + "grad_norm": 1.9183878257778708, + "learning_rate": 1.6274447015334122e-05, + "loss": 0.8941, + "step": 12971 + }, + { + "epoch": 0.31, + "grad_norm": 1.689191695803817, + "learning_rate": 1.6273852846658856e-05, + "loss": 0.9305, + "step": 12972 + }, + { + "epoch": 0.31, + "grad_norm": 1.9605897606334066, + "learning_rate": 1.6273258641455233e-05, + "loss": 0.9401, + "step": 12973 + }, + { + "epoch": 0.31, + "grad_norm": 2.0268336738089143, + "learning_rate": 1.6272664399726712e-05, + "loss": 0.965, + "step": 12974 + }, + { + "epoch": 0.31, + "grad_norm": 1.856972290804312, + "learning_rate": 1.6272070121476753e-05, + "loss": 0.8301, + "step": 12975 + }, + { + "epoch": 0.31, + "grad_norm": 1.9661967400030633, + "learning_rate": 1.6271475806708815e-05, + "loss": 0.7852, + "step": 12976 + }, + { + "epoch": 0.31, + "grad_norm": 1.9162780420275256, + "learning_rate": 1.6270881455426358e-05, + "loss": 0.8535, + "step": 12977 + }, + { + "epoch": 0.31, + "grad_norm": 1.4713984055425893, + "learning_rate": 1.6270287067632847e-05, + "loss": 0.8608, + "step": 12978 + }, + { + "epoch": 0.31, + "grad_norm": 1.8458806255621147, + "learning_rate": 1.626969264333174e-05, + "loss": 0.8761, + "step": 12979 + }, + { + "epoch": 0.31, + "grad_norm": 1.94539852827629, + "learning_rate": 1.6269098182526494e-05, + "loss": 0.9886, + "step": 12980 + }, + { + "epoch": 0.31, + "grad_norm": 1.7875444771424736, + "learning_rate": 1.6268503685220577e-05, + "loss": 0.7682, + "step": 12981 + }, + { + "epoch": 0.31, + "grad_norm": 1.6091199064800799, + "learning_rate": 1.6267909151417444e-05, + "loss": 0.7872, + "step": 12982 + }, + { + "epoch": 0.31, + "grad_norm": 1.8003084331062433, + "learning_rate": 1.6267314581120564e-05, + "loss": 0.9974, + "step": 12983 + }, + { + "epoch": 0.31, + "grad_norm": 1.7079074330111603, + "learning_rate": 1.6266719974333387e-05, + "loss": 0.936, + "step": 12984 + }, + { + "epoch": 0.31, + "grad_norm": 0.7811021217074543, + "learning_rate": 1.6266125331059387e-05, + "loss": 0.742, + "step": 12985 + }, + { + "epoch": 0.31, + "grad_norm": 1.5771505733009026, + "learning_rate": 1.626553065130202e-05, + "loss": 0.9085, + "step": 12986 + }, + { + "epoch": 0.31, + "grad_norm": 1.6937771898948488, + "learning_rate": 1.6264935935064753e-05, + "loss": 0.9102, + "step": 12987 + }, + { + "epoch": 0.31, + "grad_norm": 1.524665984904311, + "learning_rate": 1.6264341182351043e-05, + "loss": 0.8843, + "step": 12988 + }, + { + "epoch": 0.31, + "grad_norm": 1.9199858856832956, + "learning_rate": 1.6263746393164356e-05, + "loss": 0.8839, + "step": 12989 + }, + { + "epoch": 0.31, + "grad_norm": 1.80693524245953, + "learning_rate": 1.6263151567508154e-05, + "loss": 0.8458, + "step": 12990 + }, + { + "epoch": 0.31, + "grad_norm": 1.9476308663036164, + "learning_rate": 1.62625567053859e-05, + "loss": 0.8683, + "step": 12991 + }, + { + "epoch": 0.31, + "grad_norm": 2.018864450582992, + "learning_rate": 1.6261961806801062e-05, + "loss": 1.0216, + "step": 12992 + }, + { + "epoch": 0.31, + "grad_norm": 2.1438036087094914, + "learning_rate": 1.6261366871757097e-05, + "loss": 0.8606, + "step": 12993 + }, + { + "epoch": 0.31, + "grad_norm": 1.5424352322179495, + "learning_rate": 1.626077190025747e-05, + "loss": 0.816, + "step": 12994 + }, + { + "epoch": 0.31, + "grad_norm": 2.4295268347280867, + "learning_rate": 1.6260176892305654e-05, + "loss": 0.8194, + "step": 12995 + }, + { + "epoch": 0.31, + "grad_norm": 2.1284535484054135, + "learning_rate": 1.6259581847905097e-05, + "loss": 0.9311, + "step": 12996 + }, + { + "epoch": 0.31, + "grad_norm": 1.6694729708440066, + "learning_rate": 1.6258986767059278e-05, + "loss": 0.8916, + "step": 12997 + }, + { + "epoch": 0.31, + "grad_norm": 2.7200950733631837, + "learning_rate": 1.6258391649771654e-05, + "loss": 1.0826, + "step": 12998 + }, + { + "epoch": 0.31, + "grad_norm": 2.6919398417941736, + "learning_rate": 1.6257796496045694e-05, + "loss": 0.8999, + "step": 12999 + }, + { + "epoch": 0.31, + "grad_norm": 1.7141314329313841, + "learning_rate": 1.625720130588486e-05, + "loss": 0.8446, + "step": 13000 + }, + { + "epoch": 0.31, + "grad_norm": 4.205580509108831, + "learning_rate": 1.625660607929262e-05, + "loss": 0.7244, + "step": 13001 + }, + { + "epoch": 0.31, + "grad_norm": 0.7954695006868964, + "learning_rate": 1.625601081627244e-05, + "loss": 0.7371, + "step": 13002 + }, + { + "epoch": 0.31, + "grad_norm": 1.517102370994666, + "learning_rate": 1.6255415516827783e-05, + "loss": 0.92, + "step": 13003 + }, + { + "epoch": 0.31, + "grad_norm": 2.4511302506334087, + "learning_rate": 1.6254820180962115e-05, + "loss": 0.9019, + "step": 13004 + }, + { + "epoch": 0.31, + "grad_norm": 1.5489539524720946, + "learning_rate": 1.6254224808678906e-05, + "loss": 0.8554, + "step": 13005 + }, + { + "epoch": 0.31, + "grad_norm": 1.99639828539157, + "learning_rate": 1.625362939998162e-05, + "loss": 0.9834, + "step": 13006 + }, + { + "epoch": 0.31, + "grad_norm": 1.5489047880737588, + "learning_rate": 1.6253033954873725e-05, + "loss": 0.927, + "step": 13007 + }, + { + "epoch": 0.31, + "grad_norm": 1.5348532664128285, + "learning_rate": 1.6252438473358682e-05, + "loss": 0.9476, + "step": 13008 + }, + { + "epoch": 0.31, + "grad_norm": 1.5430002154804223, + "learning_rate": 1.625184295543997e-05, + "loss": 1.034, + "step": 13009 + }, + { + "epoch": 0.31, + "grad_norm": 2.2236963159706975, + "learning_rate": 1.625124740112104e-05, + "loss": 0.8356, + "step": 13010 + }, + { + "epoch": 0.31, + "grad_norm": 1.8078235129974094, + "learning_rate": 1.6250651810405375e-05, + "loss": 0.9687, + "step": 13011 + }, + { + "epoch": 0.31, + "grad_norm": 1.818757739308693, + "learning_rate": 1.6250056183296434e-05, + "loss": 0.9119, + "step": 13012 + }, + { + "epoch": 0.31, + "grad_norm": 1.6367025446046848, + "learning_rate": 1.6249460519797687e-05, + "loss": 0.8598, + "step": 13013 + }, + { + "epoch": 0.31, + "grad_norm": 1.6851095399765603, + "learning_rate": 1.6248864819912603e-05, + "loss": 0.9768, + "step": 13014 + }, + { + "epoch": 0.31, + "grad_norm": 2.8044905862586806, + "learning_rate": 1.624826908364465e-05, + "loss": 0.9788, + "step": 13015 + }, + { + "epoch": 0.31, + "grad_norm": 1.7599083102872957, + "learning_rate": 1.6247673310997294e-05, + "loss": 0.8722, + "step": 13016 + }, + { + "epoch": 0.31, + "grad_norm": 1.7980654708285073, + "learning_rate": 1.6247077501974008e-05, + "loss": 0.9577, + "step": 13017 + }, + { + "epoch": 0.31, + "grad_norm": 1.5875995096838904, + "learning_rate": 1.624648165657826e-05, + "loss": 0.8772, + "step": 13018 + }, + { + "epoch": 0.31, + "grad_norm": 1.623081259056278, + "learning_rate": 1.6245885774813514e-05, + "loss": 0.9822, + "step": 13019 + }, + { + "epoch": 0.31, + "grad_norm": 1.7008068346454719, + "learning_rate": 1.624528985668325e-05, + "loss": 1.0615, + "step": 13020 + }, + { + "epoch": 0.31, + "grad_norm": 1.6674235946512312, + "learning_rate": 1.6244693902190928e-05, + "loss": 0.9116, + "step": 13021 + }, + { + "epoch": 0.31, + "grad_norm": 1.7186039838721976, + "learning_rate": 1.6244097911340018e-05, + "loss": 0.9155, + "step": 13022 + }, + { + "epoch": 0.31, + "grad_norm": 1.8955435864495105, + "learning_rate": 1.6243501884133997e-05, + "loss": 0.8436, + "step": 13023 + }, + { + "epoch": 0.31, + "grad_norm": 1.6717171952438452, + "learning_rate": 1.6242905820576327e-05, + "loss": 0.9294, + "step": 13024 + }, + { + "epoch": 0.31, + "grad_norm": 1.6210473140491615, + "learning_rate": 1.6242309720670492e-05, + "loss": 0.891, + "step": 13025 + }, + { + "epoch": 0.31, + "grad_norm": 1.580316823738266, + "learning_rate": 1.6241713584419946e-05, + "loss": 0.9908, + "step": 13026 + }, + { + "epoch": 0.31, + "grad_norm": 1.7007972107313536, + "learning_rate": 1.6241117411828167e-05, + "loss": 0.8796, + "step": 13027 + }, + { + "epoch": 0.31, + "grad_norm": 1.658386991695198, + "learning_rate": 1.624052120289863e-05, + "loss": 0.9369, + "step": 13028 + }, + { + "epoch": 0.31, + "grad_norm": 1.7047974014290417, + "learning_rate": 1.6239924957634802e-05, + "loss": 0.8552, + "step": 13029 + }, + { + "epoch": 0.31, + "grad_norm": 1.6238283245801974, + "learning_rate": 1.6239328676040155e-05, + "loss": 0.9384, + "step": 13030 + }, + { + "epoch": 0.31, + "grad_norm": 1.8324624733906638, + "learning_rate": 1.623873235811816e-05, + "loss": 0.9318, + "step": 13031 + }, + { + "epoch": 0.31, + "grad_norm": 1.8347605415149555, + "learning_rate": 1.623813600387229e-05, + "loss": 0.9242, + "step": 13032 + }, + { + "epoch": 0.31, + "grad_norm": 1.680717070159626, + "learning_rate": 1.6237539613306018e-05, + "loss": 0.8468, + "step": 13033 + }, + { + "epoch": 0.31, + "grad_norm": 1.5858547720823704, + "learning_rate": 1.6236943186422815e-05, + "loss": 0.8824, + "step": 13034 + }, + { + "epoch": 0.31, + "grad_norm": 0.7605874837144847, + "learning_rate": 1.6236346723226154e-05, + "loss": 0.7307, + "step": 13035 + }, + { + "epoch": 0.31, + "grad_norm": 1.7737958602201247, + "learning_rate": 1.623575022371951e-05, + "loss": 0.8263, + "step": 13036 + }, + { + "epoch": 0.31, + "grad_norm": 1.7145268623275505, + "learning_rate": 1.6235153687906354e-05, + "loss": 0.9278, + "step": 13037 + }, + { + "epoch": 0.31, + "grad_norm": 1.540477211063941, + "learning_rate": 1.6234557115790157e-05, + "loss": 0.8215, + "step": 13038 + }, + { + "epoch": 0.31, + "grad_norm": 1.598096237117986, + "learning_rate": 1.6233960507374397e-05, + "loss": 0.8544, + "step": 13039 + }, + { + "epoch": 0.31, + "grad_norm": 2.1733647840864787, + "learning_rate": 1.6233363862662543e-05, + "loss": 0.8591, + "step": 13040 + }, + { + "epoch": 0.31, + "grad_norm": 1.7394218847184555, + "learning_rate": 1.6232767181658072e-05, + "loss": 0.8515, + "step": 13041 + }, + { + "epoch": 0.31, + "grad_norm": 1.5992756612711045, + "learning_rate": 1.623217046436446e-05, + "loss": 0.8602, + "step": 13042 + }, + { + "epoch": 0.31, + "grad_norm": 1.3983333339235926, + "learning_rate": 1.6231573710785172e-05, + "loss": 0.7833, + "step": 13043 + }, + { + "epoch": 0.31, + "grad_norm": 1.5654656242635097, + "learning_rate": 1.6230976920923696e-05, + "loss": 0.7053, + "step": 13044 + }, + { + "epoch": 0.31, + "grad_norm": 1.6180526088753378, + "learning_rate": 1.6230380094783497e-05, + "loss": 0.8533, + "step": 13045 + }, + { + "epoch": 0.31, + "grad_norm": 1.7505961563809498, + "learning_rate": 1.622978323236805e-05, + "loss": 0.8965, + "step": 13046 + }, + { + "epoch": 0.31, + "grad_norm": 1.6016080092078844, + "learning_rate": 1.6229186333680832e-05, + "loss": 0.8262, + "step": 13047 + }, + { + "epoch": 0.31, + "grad_norm": 1.84924015209165, + "learning_rate": 1.6228589398725326e-05, + "loss": 0.9509, + "step": 13048 + }, + { + "epoch": 0.31, + "grad_norm": 1.7978325907206365, + "learning_rate": 1.6227992427504995e-05, + "loss": 0.8457, + "step": 13049 + }, + { + "epoch": 0.31, + "grad_norm": 0.8277170636168213, + "learning_rate": 1.6227395420023323e-05, + "loss": 0.7937, + "step": 13050 + }, + { + "epoch": 0.31, + "grad_norm": 1.6078953568173948, + "learning_rate": 1.6226798376283782e-05, + "loss": 0.8005, + "step": 13051 + }, + { + "epoch": 0.31, + "grad_norm": 1.6888276123259711, + "learning_rate": 1.6226201296289848e-05, + "loss": 0.9782, + "step": 13052 + }, + { + "epoch": 0.31, + "grad_norm": 1.7675459908395181, + "learning_rate": 1.6225604180045e-05, + "loss": 0.9296, + "step": 13053 + }, + { + "epoch": 0.31, + "grad_norm": 1.6531082201481975, + "learning_rate": 1.6225007027552715e-05, + "loss": 0.9259, + "step": 13054 + }, + { + "epoch": 0.31, + "grad_norm": 2.07097106147256, + "learning_rate": 1.6224409838816465e-05, + "loss": 0.9082, + "step": 13055 + }, + { + "epoch": 0.31, + "grad_norm": 1.5143726987039057, + "learning_rate": 1.6223812613839734e-05, + "loss": 0.8648, + "step": 13056 + }, + { + "epoch": 0.31, + "grad_norm": 3.762293214123383, + "learning_rate": 1.6223215352625994e-05, + "loss": 0.9038, + "step": 13057 + }, + { + "epoch": 0.31, + "grad_norm": 1.9024817437462282, + "learning_rate": 1.6222618055178723e-05, + "loss": 0.9924, + "step": 13058 + }, + { + "epoch": 0.31, + "grad_norm": 1.5470304141638587, + "learning_rate": 1.62220207215014e-05, + "loss": 0.8758, + "step": 13059 + }, + { + "epoch": 0.31, + "grad_norm": 2.4385100629924454, + "learning_rate": 1.6221423351597505e-05, + "loss": 0.9849, + "step": 13060 + }, + { + "epoch": 0.31, + "grad_norm": 1.7503216071065433, + "learning_rate": 1.622082594547051e-05, + "loss": 0.8254, + "step": 13061 + }, + { + "epoch": 0.31, + "grad_norm": 1.7604725904241698, + "learning_rate": 1.62202285031239e-05, + "loss": 0.9132, + "step": 13062 + }, + { + "epoch": 0.31, + "grad_norm": 2.130722153819299, + "learning_rate": 1.6219631024561148e-05, + "loss": 0.8321, + "step": 13063 + }, + { + "epoch": 0.31, + "grad_norm": 2.476919389694691, + "learning_rate": 1.6219033509785738e-05, + "loss": 0.7869, + "step": 13064 + }, + { + "epoch": 0.31, + "grad_norm": 1.7480070483210017, + "learning_rate": 1.6218435958801143e-05, + "loss": 0.8915, + "step": 13065 + }, + { + "epoch": 0.31, + "grad_norm": 1.7539630107573347, + "learning_rate": 1.6217838371610847e-05, + "loss": 0.8739, + "step": 13066 + }, + { + "epoch": 0.31, + "grad_norm": 0.7693478059030262, + "learning_rate": 1.6217240748218325e-05, + "loss": 0.7282, + "step": 13067 + }, + { + "epoch": 0.31, + "grad_norm": 1.7155707388610388, + "learning_rate": 1.621664308862706e-05, + "loss": 0.7713, + "step": 13068 + }, + { + "epoch": 0.31, + "grad_norm": 1.82516146191424, + "learning_rate": 1.621604539284053e-05, + "loss": 0.9238, + "step": 13069 + }, + { + "epoch": 0.31, + "grad_norm": 1.7298483968408864, + "learning_rate": 1.6215447660862216e-05, + "loss": 0.8855, + "step": 13070 + }, + { + "epoch": 0.31, + "grad_norm": 1.5654645091650077, + "learning_rate": 1.6214849892695602e-05, + "loss": 0.9966, + "step": 13071 + }, + { + "epoch": 0.31, + "grad_norm": 1.603168978426852, + "learning_rate": 1.6214252088344164e-05, + "loss": 0.8775, + "step": 13072 + }, + { + "epoch": 0.31, + "grad_norm": 1.7284815961039386, + "learning_rate": 1.621365424781138e-05, + "loss": 0.8423, + "step": 13073 + }, + { + "epoch": 0.31, + "grad_norm": 1.78332292006112, + "learning_rate": 1.6213056371100732e-05, + "loss": 0.8408, + "step": 13074 + }, + { + "epoch": 0.31, + "grad_norm": 1.5980871720499938, + "learning_rate": 1.6212458458215706e-05, + "loss": 0.8705, + "step": 13075 + }, + { + "epoch": 0.31, + "grad_norm": 1.727769510291179, + "learning_rate": 1.621186050915978e-05, + "loss": 0.9112, + "step": 13076 + }, + { + "epoch": 0.31, + "grad_norm": 1.4929702693180353, + "learning_rate": 1.6211262523936432e-05, + "loss": 1.0061, + "step": 13077 + }, + { + "epoch": 0.31, + "grad_norm": 1.7421100937809475, + "learning_rate": 1.6210664502549152e-05, + "loss": 0.922, + "step": 13078 + }, + { + "epoch": 0.31, + "grad_norm": 1.8759039738704082, + "learning_rate": 1.6210066445001413e-05, + "loss": 0.9677, + "step": 13079 + }, + { + "epoch": 0.31, + "grad_norm": 1.7055830061907684, + "learning_rate": 1.6209468351296703e-05, + "loss": 0.9096, + "step": 13080 + }, + { + "epoch": 0.31, + "grad_norm": 1.626732931901177, + "learning_rate": 1.6208870221438503e-05, + "loss": 0.8308, + "step": 13081 + }, + { + "epoch": 0.31, + "grad_norm": 1.6384686148354732, + "learning_rate": 1.6208272055430292e-05, + "loss": 0.7891, + "step": 13082 + }, + { + "epoch": 0.31, + "grad_norm": 1.7808779541140722, + "learning_rate": 1.620767385327556e-05, + "loss": 0.9044, + "step": 13083 + }, + { + "epoch": 0.31, + "grad_norm": 2.407272016887305, + "learning_rate": 1.620707561497778e-05, + "loss": 0.8976, + "step": 13084 + }, + { + "epoch": 0.31, + "grad_norm": 2.0362415974044508, + "learning_rate": 1.6206477340540444e-05, + "loss": 0.757, + "step": 13085 + }, + { + "epoch": 0.31, + "grad_norm": 0.8122774003728105, + "learning_rate": 1.6205879029967032e-05, + "loss": 0.7547, + "step": 13086 + }, + { + "epoch": 0.31, + "grad_norm": 1.9328528821652728, + "learning_rate": 1.620528068326103e-05, + "loss": 0.8555, + "step": 13087 + }, + { + "epoch": 0.31, + "grad_norm": 1.9322856847482444, + "learning_rate": 1.6204682300425915e-05, + "loss": 0.8439, + "step": 13088 + }, + { + "epoch": 0.31, + "grad_norm": 1.8139784353871415, + "learning_rate": 1.6204083881465175e-05, + "loss": 0.8834, + "step": 13089 + }, + { + "epoch": 0.31, + "grad_norm": 1.7530759075672364, + "learning_rate": 1.62034854263823e-05, + "loss": 0.9374, + "step": 13090 + }, + { + "epoch": 0.31, + "grad_norm": 1.8251794373764325, + "learning_rate": 1.620288693518076e-05, + "loss": 0.8565, + "step": 13091 + }, + { + "epoch": 0.31, + "grad_norm": 1.958121927543762, + "learning_rate": 1.6202288407864056e-05, + "loss": 0.7751, + "step": 13092 + }, + { + "epoch": 0.31, + "grad_norm": 1.8653131994317413, + "learning_rate": 1.620168984443566e-05, + "loss": 0.9264, + "step": 13093 + }, + { + "epoch": 0.31, + "grad_norm": 1.886563324995957, + "learning_rate": 1.6201091244899067e-05, + "loss": 0.8448, + "step": 13094 + }, + { + "epoch": 0.31, + "grad_norm": 1.4610024344706227, + "learning_rate": 1.6200492609257758e-05, + "loss": 1.0365, + "step": 13095 + }, + { + "epoch": 0.31, + "grad_norm": 1.639035820790745, + "learning_rate": 1.6199893937515214e-05, + "loss": 0.9556, + "step": 13096 + }, + { + "epoch": 0.31, + "grad_norm": 1.560092614161879, + "learning_rate": 1.6199295229674927e-05, + "loss": 0.9376, + "step": 13097 + }, + { + "epoch": 0.31, + "grad_norm": 2.1072922951310873, + "learning_rate": 1.6198696485740378e-05, + "loss": 0.911, + "step": 13098 + }, + { + "epoch": 0.31, + "grad_norm": 1.6945428193251073, + "learning_rate": 1.619809770571506e-05, + "loss": 0.929, + "step": 13099 + }, + { + "epoch": 0.31, + "grad_norm": 1.686739243483214, + "learning_rate": 1.619749888960245e-05, + "loss": 1.032, + "step": 13100 + }, + { + "epoch": 0.31, + "grad_norm": 1.7323498236490023, + "learning_rate": 1.6196900037406043e-05, + "loss": 1.0104, + "step": 13101 + }, + { + "epoch": 0.31, + "grad_norm": 1.9304102210759615, + "learning_rate": 1.619630114912932e-05, + "loss": 0.9138, + "step": 13102 + }, + { + "epoch": 0.31, + "grad_norm": 2.0151979926353216, + "learning_rate": 1.6195702224775768e-05, + "loss": 0.8872, + "step": 13103 + }, + { + "epoch": 0.31, + "grad_norm": 0.7896562252389236, + "learning_rate": 1.619510326434888e-05, + "loss": 0.6705, + "step": 13104 + }, + { + "epoch": 0.31, + "grad_norm": 1.5751597291598334, + "learning_rate": 1.619450426785214e-05, + "loss": 0.7836, + "step": 13105 + }, + { + "epoch": 0.31, + "grad_norm": 1.6935856998344325, + "learning_rate": 1.619390523528903e-05, + "loss": 0.9333, + "step": 13106 + }, + { + "epoch": 0.31, + "grad_norm": 1.565548489624836, + "learning_rate": 1.619330616666305e-05, + "loss": 0.9333, + "step": 13107 + }, + { + "epoch": 0.31, + "grad_norm": 1.7442826782256293, + "learning_rate": 1.6192707061977676e-05, + "loss": 0.8958, + "step": 13108 + }, + { + "epoch": 0.31, + "grad_norm": 1.5178074184064005, + "learning_rate": 1.61921079212364e-05, + "loss": 0.8741, + "step": 13109 + }, + { + "epoch": 0.31, + "grad_norm": 1.419255648050619, + "learning_rate": 1.6191508744442713e-05, + "loss": 0.8151, + "step": 13110 + }, + { + "epoch": 0.31, + "grad_norm": 2.8382938424721154, + "learning_rate": 1.6190909531600103e-05, + "loss": 1.0125, + "step": 13111 + }, + { + "epoch": 0.31, + "grad_norm": 1.6930675463090352, + "learning_rate": 1.6190310282712056e-05, + "loss": 0.8438, + "step": 13112 + }, + { + "epoch": 0.31, + "grad_norm": 1.758012264990463, + "learning_rate": 1.6189710997782063e-05, + "loss": 0.9945, + "step": 13113 + }, + { + "epoch": 0.31, + "grad_norm": 1.6489168315274059, + "learning_rate": 1.6189111676813613e-05, + "loss": 0.8915, + "step": 13114 + }, + { + "epoch": 0.31, + "grad_norm": 1.6201353384138517, + "learning_rate": 1.6188512319810197e-05, + "loss": 0.964, + "step": 13115 + }, + { + "epoch": 0.31, + "grad_norm": 2.2709750711675327, + "learning_rate": 1.6187912926775303e-05, + "loss": 0.9896, + "step": 13116 + }, + { + "epoch": 0.31, + "grad_norm": 1.5918681577616876, + "learning_rate": 1.618731349771242e-05, + "loss": 0.8518, + "step": 13117 + }, + { + "epoch": 0.31, + "grad_norm": 3.4016996563474677, + "learning_rate": 1.6186714032625036e-05, + "loss": 0.9345, + "step": 13118 + }, + { + "epoch": 0.31, + "grad_norm": 1.6767687160876703, + "learning_rate": 1.6186114531516646e-05, + "loss": 0.9288, + "step": 13119 + }, + { + "epoch": 0.31, + "grad_norm": 1.7724028803936551, + "learning_rate": 1.6185514994390738e-05, + "loss": 0.9395, + "step": 13120 + }, + { + "epoch": 0.31, + "grad_norm": 2.3065113108521955, + "learning_rate": 1.6184915421250805e-05, + "loss": 0.8438, + "step": 13121 + }, + { + "epoch": 0.31, + "grad_norm": 1.620327057830951, + "learning_rate": 1.6184315812100337e-05, + "loss": 0.8606, + "step": 13122 + }, + { + "epoch": 0.31, + "grad_norm": 1.6000672553369557, + "learning_rate": 1.6183716166942824e-05, + "loss": 0.9252, + "step": 13123 + }, + { + "epoch": 0.31, + "grad_norm": 1.736637931992919, + "learning_rate": 1.6183116485781755e-05, + "loss": 0.9319, + "step": 13124 + }, + { + "epoch": 0.31, + "grad_norm": 1.7083948041095631, + "learning_rate": 1.6182516768620627e-05, + "loss": 0.9697, + "step": 13125 + }, + { + "epoch": 0.31, + "grad_norm": 0.8213453154868677, + "learning_rate": 1.618191701546293e-05, + "loss": 0.6962, + "step": 13126 + }, + { + "epoch": 0.31, + "grad_norm": 1.811050377370658, + "learning_rate": 1.6181317226312154e-05, + "loss": 0.7835, + "step": 13127 + }, + { + "epoch": 0.31, + "grad_norm": 1.6636889902786476, + "learning_rate": 1.618071740117179e-05, + "loss": 0.8511, + "step": 13128 + }, + { + "epoch": 0.31, + "grad_norm": 1.3720445998758972, + "learning_rate": 1.6180117540045338e-05, + "loss": 0.892, + "step": 13129 + }, + { + "epoch": 0.31, + "grad_norm": 0.8311450643445321, + "learning_rate": 1.617951764293628e-05, + "loss": 0.7964, + "step": 13130 + }, + { + "epoch": 0.31, + "grad_norm": 1.7750570194425908, + "learning_rate": 1.6178917709848113e-05, + "loss": 0.8541, + "step": 13131 + }, + { + "epoch": 0.31, + "grad_norm": 1.6785642016844768, + "learning_rate": 1.6178317740784333e-05, + "loss": 0.9167, + "step": 13132 + }, + { + "epoch": 0.31, + "grad_norm": 1.5737882830653613, + "learning_rate": 1.6177717735748433e-05, + "loss": 0.9706, + "step": 13133 + }, + { + "epoch": 0.31, + "grad_norm": 1.7550734200580098, + "learning_rate": 1.61771176947439e-05, + "loss": 0.8898, + "step": 13134 + }, + { + "epoch": 0.31, + "grad_norm": 2.1482307356939425, + "learning_rate": 1.6176517617774234e-05, + "loss": 1.0092, + "step": 13135 + }, + { + "epoch": 0.31, + "grad_norm": 0.7939183539172039, + "learning_rate": 1.617591750484293e-05, + "loss": 0.6566, + "step": 13136 + }, + { + "epoch": 0.31, + "grad_norm": 1.4671235493597496, + "learning_rate": 1.6175317355953477e-05, + "loss": 0.9155, + "step": 13137 + }, + { + "epoch": 0.31, + "grad_norm": 1.9125864750128936, + "learning_rate": 1.6174717171109372e-05, + "loss": 0.9333, + "step": 13138 + }, + { + "epoch": 0.31, + "grad_norm": 1.7365844898217306, + "learning_rate": 1.6174116950314106e-05, + "loss": 0.905, + "step": 13139 + }, + { + "epoch": 0.31, + "grad_norm": 1.4890132983564217, + "learning_rate": 1.6173516693571178e-05, + "loss": 0.8195, + "step": 13140 + }, + { + "epoch": 0.31, + "grad_norm": 1.8185549462568613, + "learning_rate": 1.617291640088408e-05, + "loss": 0.9375, + "step": 13141 + }, + { + "epoch": 0.31, + "grad_norm": 2.1095736493536648, + "learning_rate": 1.617231607225631e-05, + "loss": 0.9134, + "step": 13142 + }, + { + "epoch": 0.31, + "grad_norm": 0.7276037482753351, + "learning_rate": 1.6171715707691366e-05, + "loss": 0.7537, + "step": 13143 + }, + { + "epoch": 0.31, + "grad_norm": 1.5559954428558305, + "learning_rate": 1.6171115307192734e-05, + "loss": 0.8861, + "step": 13144 + }, + { + "epoch": 0.31, + "grad_norm": 0.7631297869730121, + "learning_rate": 1.6170514870763912e-05, + "loss": 0.7115, + "step": 13145 + }, + { + "epoch": 0.31, + "grad_norm": 2.0714261303532457, + "learning_rate": 1.6169914398408405e-05, + "loss": 0.9279, + "step": 13146 + }, + { + "epoch": 0.31, + "grad_norm": 1.502976081931748, + "learning_rate": 1.6169313890129702e-05, + "loss": 0.9956, + "step": 13147 + }, + { + "epoch": 0.31, + "grad_norm": 1.480456896511305, + "learning_rate": 1.61687133459313e-05, + "loss": 0.9005, + "step": 13148 + }, + { + "epoch": 0.31, + "grad_norm": 1.8470676788570923, + "learning_rate": 1.6168112765816692e-05, + "loss": 0.9056, + "step": 13149 + }, + { + "epoch": 0.31, + "grad_norm": 1.6292319632155996, + "learning_rate": 1.616751214978938e-05, + "loss": 0.8836, + "step": 13150 + }, + { + "epoch": 0.31, + "grad_norm": 1.581888923711087, + "learning_rate": 1.6166911497852864e-05, + "loss": 0.9141, + "step": 13151 + }, + { + "epoch": 0.31, + "grad_norm": 1.7018881214775703, + "learning_rate": 1.6166310810010633e-05, + "loss": 0.9454, + "step": 13152 + }, + { + "epoch": 0.31, + "grad_norm": 2.049492694451238, + "learning_rate": 1.616571008626619e-05, + "loss": 0.9489, + "step": 13153 + }, + { + "epoch": 0.31, + "grad_norm": 0.8185236329173037, + "learning_rate": 1.616510932662303e-05, + "loss": 0.8079, + "step": 13154 + }, + { + "epoch": 0.31, + "grad_norm": 1.6680185721433438, + "learning_rate": 1.6164508531084653e-05, + "loss": 0.9912, + "step": 13155 + }, + { + "epoch": 0.31, + "grad_norm": 1.854416534809547, + "learning_rate": 1.616390769965455e-05, + "loss": 0.7815, + "step": 13156 + }, + { + "epoch": 0.31, + "grad_norm": 1.6043334592999325, + "learning_rate": 1.6163306832336232e-05, + "loss": 0.9388, + "step": 13157 + }, + { + "epoch": 0.31, + "grad_norm": 1.6786709884678057, + "learning_rate": 1.616270592913319e-05, + "loss": 0.9666, + "step": 13158 + }, + { + "epoch": 0.31, + "grad_norm": 1.537271883547843, + "learning_rate": 1.616210499004892e-05, + "loss": 0.8877, + "step": 13159 + }, + { + "epoch": 0.31, + "grad_norm": 1.6117299701192762, + "learning_rate": 1.6161504015086923e-05, + "loss": 0.8793, + "step": 13160 + }, + { + "epoch": 0.31, + "grad_norm": 1.9162259574264444, + "learning_rate": 1.61609030042507e-05, + "loss": 0.9666, + "step": 13161 + }, + { + "epoch": 0.31, + "grad_norm": 1.944210891406398, + "learning_rate": 1.616030195754375e-05, + "loss": 0.9106, + "step": 13162 + }, + { + "epoch": 0.31, + "grad_norm": 1.6745444683688444, + "learning_rate": 1.615970087496957e-05, + "loss": 0.9517, + "step": 13163 + }, + { + "epoch": 0.31, + "grad_norm": 1.7906989637433208, + "learning_rate": 1.6159099756531668e-05, + "loss": 1.003, + "step": 13164 + }, + { + "epoch": 0.31, + "grad_norm": 1.601570099174393, + "learning_rate": 1.615849860223353e-05, + "loss": 0.8526, + "step": 13165 + }, + { + "epoch": 0.31, + "grad_norm": 1.6110978981832946, + "learning_rate": 1.6157897412078668e-05, + "loss": 0.8675, + "step": 13166 + }, + { + "epoch": 0.31, + "grad_norm": 2.1069011117446994, + "learning_rate": 1.615729618607057e-05, + "loss": 0.9509, + "step": 13167 + }, + { + "epoch": 0.31, + "grad_norm": 1.3903787455069638, + "learning_rate": 1.615669492421275e-05, + "loss": 0.8119, + "step": 13168 + }, + { + "epoch": 0.31, + "grad_norm": 1.5399347129267849, + "learning_rate": 1.6156093626508706e-05, + "loss": 0.9505, + "step": 13169 + }, + { + "epoch": 0.31, + "grad_norm": 1.6112872943798477, + "learning_rate": 1.615549229296193e-05, + "loss": 0.8704, + "step": 13170 + }, + { + "epoch": 0.31, + "grad_norm": 1.724362607684154, + "learning_rate": 1.6154890923575933e-05, + "loss": 0.9526, + "step": 13171 + }, + { + "epoch": 0.31, + "grad_norm": 1.9140590400992963, + "learning_rate": 1.6154289518354208e-05, + "loss": 0.9305, + "step": 13172 + }, + { + "epoch": 0.31, + "grad_norm": 1.4403477495334365, + "learning_rate": 1.6153688077300265e-05, + "loss": 0.8303, + "step": 13173 + }, + { + "epoch": 0.31, + "grad_norm": 1.7292945335813463, + "learning_rate": 1.6153086600417602e-05, + "loss": 0.9258, + "step": 13174 + }, + { + "epoch": 0.31, + "grad_norm": 1.6464839303514112, + "learning_rate": 1.615248508770972e-05, + "loss": 1.0256, + "step": 13175 + }, + { + "epoch": 0.31, + "grad_norm": 1.7648847397793652, + "learning_rate": 1.615188353918012e-05, + "loss": 0.9924, + "step": 13176 + }, + { + "epoch": 0.31, + "grad_norm": 1.9970799162279347, + "learning_rate": 1.6151281954832307e-05, + "loss": 0.9433, + "step": 13177 + }, + { + "epoch": 0.31, + "grad_norm": 1.8881052678612682, + "learning_rate": 1.6150680334669785e-05, + "loss": 0.9202, + "step": 13178 + }, + { + "epoch": 0.31, + "grad_norm": 1.5703515618332748, + "learning_rate": 1.615007867869605e-05, + "loss": 0.9754, + "step": 13179 + }, + { + "epoch": 0.31, + "grad_norm": 1.8879511186112798, + "learning_rate": 1.6149476986914617e-05, + "loss": 0.7923, + "step": 13180 + }, + { + "epoch": 0.31, + "grad_norm": 2.0737783285521223, + "learning_rate": 1.6148875259328978e-05, + "loss": 0.9181, + "step": 13181 + }, + { + "epoch": 0.31, + "grad_norm": 2.246992395185522, + "learning_rate": 1.614827349594264e-05, + "loss": 0.9208, + "step": 13182 + }, + { + "epoch": 0.31, + "grad_norm": 0.8200040837249783, + "learning_rate": 1.614767169675911e-05, + "loss": 0.7526, + "step": 13183 + }, + { + "epoch": 0.31, + "grad_norm": 1.8279702453843718, + "learning_rate": 1.6147069861781887e-05, + "loss": 0.7568, + "step": 13184 + }, + { + "epoch": 0.31, + "grad_norm": 1.7501310787932265, + "learning_rate": 1.614646799101448e-05, + "loss": 0.845, + "step": 13185 + }, + { + "epoch": 0.31, + "grad_norm": 1.6710921311618643, + "learning_rate": 1.6145866084460384e-05, + "loss": 0.8136, + "step": 13186 + }, + { + "epoch": 0.31, + "grad_norm": 1.5585775093115928, + "learning_rate": 1.6145264142123114e-05, + "loss": 0.9143, + "step": 13187 + }, + { + "epoch": 0.31, + "grad_norm": 1.5792111912648827, + "learning_rate": 1.6144662164006172e-05, + "loss": 0.8931, + "step": 13188 + }, + { + "epoch": 0.31, + "grad_norm": 1.7308831939800895, + "learning_rate": 1.614406015011306e-05, + "loss": 0.9664, + "step": 13189 + }, + { + "epoch": 0.31, + "grad_norm": 1.9537985799956523, + "learning_rate": 1.6143458100447283e-05, + "loss": 0.8527, + "step": 13190 + }, + { + "epoch": 0.31, + "grad_norm": 1.5914072899456282, + "learning_rate": 1.614285601501235e-05, + "loss": 1.0104, + "step": 13191 + }, + { + "epoch": 0.31, + "grad_norm": 1.4685061539398367, + "learning_rate": 1.6142253893811766e-05, + "loss": 0.8458, + "step": 13192 + }, + { + "epoch": 0.31, + "grad_norm": 2.3030026945869686, + "learning_rate": 1.6141651736849032e-05, + "loss": 0.8785, + "step": 13193 + }, + { + "epoch": 0.31, + "grad_norm": 2.4761392522288443, + "learning_rate": 1.6141049544127657e-05, + "loss": 0.8983, + "step": 13194 + }, + { + "epoch": 0.31, + "grad_norm": 1.568544751988776, + "learning_rate": 1.6140447315651152e-05, + "loss": 0.9046, + "step": 13195 + }, + { + "epoch": 0.31, + "grad_norm": 1.96482484806754, + "learning_rate": 1.6139845051423012e-05, + "loss": 0.9918, + "step": 13196 + }, + { + "epoch": 0.31, + "grad_norm": 0.7601446365756849, + "learning_rate": 1.6139242751446754e-05, + "loss": 0.7328, + "step": 13197 + }, + { + "epoch": 0.31, + "grad_norm": 1.9900229159381144, + "learning_rate": 1.6138640415725882e-05, + "loss": 0.8423, + "step": 13198 + }, + { + "epoch": 0.31, + "grad_norm": 1.6173161190092422, + "learning_rate": 1.61380380442639e-05, + "loss": 1.0026, + "step": 13199 + }, + { + "epoch": 0.31, + "grad_norm": 1.6885591409233816, + "learning_rate": 1.613743563706432e-05, + "loss": 0.9708, + "step": 13200 + }, + { + "epoch": 0.31, + "grad_norm": 1.662740520379899, + "learning_rate": 1.6136833194130642e-05, + "loss": 0.9038, + "step": 13201 + }, + { + "epoch": 0.31, + "grad_norm": 1.6173361193863058, + "learning_rate": 1.6136230715466384e-05, + "loss": 0.9625, + "step": 13202 + }, + { + "epoch": 0.31, + "grad_norm": 1.7881834916913248, + "learning_rate": 1.6135628201075042e-05, + "loss": 0.9332, + "step": 13203 + }, + { + "epoch": 0.31, + "grad_norm": 1.7691774533672646, + "learning_rate": 1.6135025650960137e-05, + "loss": 0.9144, + "step": 13204 + }, + { + "epoch": 0.31, + "grad_norm": 1.7162918762868817, + "learning_rate": 1.6134423065125164e-05, + "loss": 0.8086, + "step": 13205 + }, + { + "epoch": 0.31, + "grad_norm": 1.4210130229322235, + "learning_rate": 1.613382044357364e-05, + "loss": 0.8475, + "step": 13206 + }, + { + "epoch": 0.31, + "grad_norm": 1.8209379114126774, + "learning_rate": 1.613321778630907e-05, + "loss": 0.9266, + "step": 13207 + }, + { + "epoch": 0.31, + "grad_norm": 2.0738425709414527, + "learning_rate": 1.613261509333497e-05, + "loss": 1.0155, + "step": 13208 + }, + { + "epoch": 0.31, + "grad_norm": 1.5065441515433802, + "learning_rate": 1.613201236465484e-05, + "loss": 0.9997, + "step": 13209 + }, + { + "epoch": 0.31, + "grad_norm": 1.7881431589314758, + "learning_rate": 1.6131409600272186e-05, + "loss": 0.9183, + "step": 13210 + }, + { + "epoch": 0.31, + "grad_norm": 1.8135355499497894, + "learning_rate": 1.6130806800190532e-05, + "loss": 1.0713, + "step": 13211 + }, + { + "epoch": 0.31, + "grad_norm": 1.5984578648058643, + "learning_rate": 1.613020396441338e-05, + "loss": 0.8283, + "step": 13212 + }, + { + "epoch": 0.31, + "grad_norm": 0.7809898973339607, + "learning_rate": 1.612960109294424e-05, + "loss": 0.7101, + "step": 13213 + }, + { + "epoch": 0.31, + "grad_norm": 2.1577832454093504, + "learning_rate": 1.6128998185786616e-05, + "loss": 1.0207, + "step": 13214 + }, + { + "epoch": 0.31, + "grad_norm": 1.6831953640389221, + "learning_rate": 1.6128395242944027e-05, + "loss": 0.826, + "step": 13215 + }, + { + "epoch": 0.31, + "grad_norm": 1.691952252917136, + "learning_rate": 1.6127792264419983e-05, + "loss": 1.0, + "step": 13216 + }, + { + "epoch": 0.31, + "grad_norm": 1.6711760182340405, + "learning_rate": 1.6127189250217988e-05, + "loss": 0.9205, + "step": 13217 + }, + { + "epoch": 0.31, + "grad_norm": 1.4933689899060842, + "learning_rate": 1.612658620034156e-05, + "loss": 0.9353, + "step": 13218 + }, + { + "epoch": 0.31, + "grad_norm": 1.760236412456105, + "learning_rate": 1.612598311479421e-05, + "loss": 0.8435, + "step": 13219 + }, + { + "epoch": 0.31, + "grad_norm": 1.631818471836646, + "learning_rate": 1.6125379993579448e-05, + "loss": 0.8575, + "step": 13220 + }, + { + "epoch": 0.31, + "grad_norm": 2.0311622922357637, + "learning_rate": 1.6124776836700778e-05, + "loss": 0.8675, + "step": 13221 + }, + { + "epoch": 0.31, + "grad_norm": 1.7575016474710796, + "learning_rate": 1.612417364416172e-05, + "loss": 0.7881, + "step": 13222 + }, + { + "epoch": 0.31, + "grad_norm": 1.6175992063777636, + "learning_rate": 1.6123570415965785e-05, + "loss": 0.8931, + "step": 13223 + }, + { + "epoch": 0.31, + "grad_norm": 1.6912126481958063, + "learning_rate": 1.6122967152116483e-05, + "loss": 1.016, + "step": 13224 + }, + { + "epoch": 0.31, + "grad_norm": 1.856902378771833, + "learning_rate": 1.6122363852617333e-05, + "loss": 0.8795, + "step": 13225 + }, + { + "epoch": 0.31, + "grad_norm": 1.5768980397498795, + "learning_rate": 1.6121760517471837e-05, + "loss": 0.8089, + "step": 13226 + }, + { + "epoch": 0.31, + "grad_norm": 1.8345755406118338, + "learning_rate": 1.6121157146683514e-05, + "loss": 0.9221, + "step": 13227 + }, + { + "epoch": 0.31, + "grad_norm": 2.0577706682906216, + "learning_rate": 1.6120553740255877e-05, + "loss": 0.792, + "step": 13228 + }, + { + "epoch": 0.31, + "grad_norm": 1.6491184300523818, + "learning_rate": 1.6119950298192438e-05, + "loss": 0.8718, + "step": 13229 + }, + { + "epoch": 0.31, + "grad_norm": 1.7427398795307796, + "learning_rate": 1.6119346820496712e-05, + "loss": 0.9581, + "step": 13230 + }, + { + "epoch": 0.31, + "grad_norm": 0.8425879634718882, + "learning_rate": 1.6118743307172212e-05, + "loss": 0.7246, + "step": 13231 + }, + { + "epoch": 0.31, + "grad_norm": 1.709073720061115, + "learning_rate": 1.611813975822245e-05, + "loss": 0.8756, + "step": 13232 + }, + { + "epoch": 0.31, + "grad_norm": 1.6800033766832752, + "learning_rate": 1.611753617365094e-05, + "loss": 0.7862, + "step": 13233 + }, + { + "epoch": 0.31, + "grad_norm": 3.2619519797581553, + "learning_rate": 1.61169325534612e-05, + "loss": 0.9008, + "step": 13234 + }, + { + "epoch": 0.31, + "grad_norm": 1.5705830900954363, + "learning_rate": 1.611632889765674e-05, + "loss": 0.7907, + "step": 13235 + }, + { + "epoch": 0.31, + "grad_norm": 1.7196481221493602, + "learning_rate": 1.6115725206241078e-05, + "loss": 1.0995, + "step": 13236 + }, + { + "epoch": 0.31, + "grad_norm": 1.4665058025520712, + "learning_rate": 1.6115121479217724e-05, + "loss": 0.9248, + "step": 13237 + }, + { + "epoch": 0.31, + "grad_norm": 1.8326364903171333, + "learning_rate": 1.6114517716590205e-05, + "loss": 0.9668, + "step": 13238 + }, + { + "epoch": 0.31, + "grad_norm": 1.5257789329012466, + "learning_rate": 1.6113913918362023e-05, + "loss": 0.8899, + "step": 13239 + }, + { + "epoch": 0.31, + "grad_norm": 1.7042591838094623, + "learning_rate": 1.6113310084536698e-05, + "loss": 0.8291, + "step": 13240 + }, + { + "epoch": 0.31, + "grad_norm": 1.4929150187489053, + "learning_rate": 1.6112706215117748e-05, + "loss": 0.9783, + "step": 13241 + }, + { + "epoch": 0.31, + "grad_norm": 1.5453400060361588, + "learning_rate": 1.6112102310108686e-05, + "loss": 1.0101, + "step": 13242 + }, + { + "epoch": 0.31, + "grad_norm": 1.7686592829722547, + "learning_rate": 1.611149836951303e-05, + "loss": 0.891, + "step": 13243 + }, + { + "epoch": 0.31, + "grad_norm": 0.8007040089587553, + "learning_rate": 1.6110894393334293e-05, + "loss": 0.7521, + "step": 13244 + }, + { + "epoch": 0.31, + "grad_norm": 1.7710216744096279, + "learning_rate": 1.6110290381575996e-05, + "loss": 0.8848, + "step": 13245 + }, + { + "epoch": 0.31, + "grad_norm": 1.6440904459698937, + "learning_rate": 1.6109686334241655e-05, + "loss": 0.8903, + "step": 13246 + }, + { + "epoch": 0.31, + "grad_norm": 1.5602393347851304, + "learning_rate": 1.6109082251334786e-05, + "loss": 0.8869, + "step": 13247 + }, + { + "epoch": 0.31, + "grad_norm": 1.626730422708558, + "learning_rate": 1.6108478132858903e-05, + "loss": 0.8424, + "step": 13248 + }, + { + "epoch": 0.31, + "grad_norm": 1.6667015666873048, + "learning_rate": 1.610787397881753e-05, + "loss": 0.8893, + "step": 13249 + }, + { + "epoch": 0.31, + "grad_norm": 1.914995803142586, + "learning_rate": 1.610726978921418e-05, + "loss": 0.8465, + "step": 13250 + }, + { + "epoch": 0.31, + "grad_norm": 1.7045210186819273, + "learning_rate": 1.610666556405237e-05, + "loss": 0.857, + "step": 13251 + }, + { + "epoch": 0.31, + "grad_norm": 1.8828400962227336, + "learning_rate": 1.6106061303335622e-05, + "loss": 1.0755, + "step": 13252 + }, + { + "epoch": 0.31, + "grad_norm": 1.6177380525663065, + "learning_rate": 1.610545700706745e-05, + "loss": 0.8889, + "step": 13253 + }, + { + "epoch": 0.31, + "grad_norm": 1.3987514958155798, + "learning_rate": 1.6104852675251373e-05, + "loss": 0.889, + "step": 13254 + }, + { + "epoch": 0.31, + "grad_norm": 1.6281622307304735, + "learning_rate": 1.6104248307890915e-05, + "loss": 0.8557, + "step": 13255 + }, + { + "epoch": 0.31, + "grad_norm": 1.3928319041798756, + "learning_rate": 1.6103643904989588e-05, + "loss": 0.8813, + "step": 13256 + }, + { + "epoch": 0.31, + "grad_norm": 1.6138846826480775, + "learning_rate": 1.6103039466550916e-05, + "loss": 0.9165, + "step": 13257 + }, + { + "epoch": 0.31, + "grad_norm": 1.8831731581734337, + "learning_rate": 1.6102434992578415e-05, + "loss": 0.9037, + "step": 13258 + }, + { + "epoch": 0.31, + "grad_norm": 2.2755000050802088, + "learning_rate": 1.6101830483075603e-05, + "loss": 1.0219, + "step": 13259 + }, + { + "epoch": 0.31, + "grad_norm": 1.7599413737332976, + "learning_rate": 1.6101225938046007e-05, + "loss": 0.8865, + "step": 13260 + }, + { + "epoch": 0.31, + "grad_norm": 1.4953635511965673, + "learning_rate": 1.610062135749314e-05, + "loss": 0.9668, + "step": 13261 + }, + { + "epoch": 0.31, + "grad_norm": 1.9314469177146796, + "learning_rate": 1.610001674142052e-05, + "loss": 0.9436, + "step": 13262 + }, + { + "epoch": 0.31, + "grad_norm": 2.5172714430589447, + "learning_rate": 1.6099412089831676e-05, + "loss": 0.8491, + "step": 13263 + }, + { + "epoch": 0.31, + "grad_norm": 1.8982798345377168, + "learning_rate": 1.6098807402730124e-05, + "loss": 0.8211, + "step": 13264 + }, + { + "epoch": 0.31, + "grad_norm": 1.6045661812055538, + "learning_rate": 1.6098202680119382e-05, + "loss": 0.9061, + "step": 13265 + }, + { + "epoch": 0.31, + "grad_norm": 1.8250923714187968, + "learning_rate": 1.6097597922002974e-05, + "loss": 0.9204, + "step": 13266 + }, + { + "epoch": 0.31, + "grad_norm": 1.62612308756287, + "learning_rate": 1.609699312838442e-05, + "loss": 0.9171, + "step": 13267 + }, + { + "epoch": 0.31, + "grad_norm": 1.936944374728112, + "learning_rate": 1.609638829926724e-05, + "loss": 0.9145, + "step": 13268 + }, + { + "epoch": 0.31, + "grad_norm": 1.5865176824927074, + "learning_rate": 1.6095783434654963e-05, + "loss": 0.8763, + "step": 13269 + }, + { + "epoch": 0.31, + "grad_norm": 1.6844488496286534, + "learning_rate": 1.60951785345511e-05, + "loss": 0.8385, + "step": 13270 + }, + { + "epoch": 0.31, + "grad_norm": 2.3689997187463323, + "learning_rate": 1.609457359895918e-05, + "loss": 0.8313, + "step": 13271 + }, + { + "epoch": 0.31, + "grad_norm": 1.6071962941021058, + "learning_rate": 1.6093968627882723e-05, + "loss": 0.9323, + "step": 13272 + }, + { + "epoch": 0.31, + "grad_norm": 1.8301207693364494, + "learning_rate": 1.609336362132525e-05, + "loss": 1.0201, + "step": 13273 + }, + { + "epoch": 0.31, + "grad_norm": 1.724749651459163, + "learning_rate": 1.6092758579290286e-05, + "loss": 0.8343, + "step": 13274 + }, + { + "epoch": 0.31, + "grad_norm": 1.5614439726829197, + "learning_rate": 1.6092153501781352e-05, + "loss": 0.8321, + "step": 13275 + }, + { + "epoch": 0.31, + "grad_norm": 0.7996900459061546, + "learning_rate": 1.6091548388801975e-05, + "loss": 0.7514, + "step": 13276 + }, + { + "epoch": 0.31, + "grad_norm": 1.6274661125722134, + "learning_rate": 1.609094324035567e-05, + "loss": 0.9683, + "step": 13277 + }, + { + "epoch": 0.31, + "grad_norm": 1.759062532799867, + "learning_rate": 1.6090338056445965e-05, + "loss": 0.8902, + "step": 13278 + }, + { + "epoch": 0.31, + "grad_norm": 1.6657011156350767, + "learning_rate": 1.6089732837076387e-05, + "loss": 0.9094, + "step": 13279 + }, + { + "epoch": 0.31, + "grad_norm": 1.9410636478310417, + "learning_rate": 1.6089127582250453e-05, + "loss": 0.9709, + "step": 13280 + }, + { + "epoch": 0.31, + "grad_norm": 1.7809431894831464, + "learning_rate": 1.6088522291971695e-05, + "loss": 0.9648, + "step": 13281 + }, + { + "epoch": 0.31, + "grad_norm": 2.096263461792773, + "learning_rate": 1.608791696624363e-05, + "loss": 0.9014, + "step": 13282 + }, + { + "epoch": 0.31, + "grad_norm": 1.9203555391144562, + "learning_rate": 1.608731160506978e-05, + "loss": 0.9834, + "step": 13283 + }, + { + "epoch": 0.31, + "grad_norm": 0.7602556852570705, + "learning_rate": 1.6086706208453683e-05, + "loss": 0.7268, + "step": 13284 + }, + { + "epoch": 0.31, + "grad_norm": 1.6491755426319548, + "learning_rate": 1.608610077639885e-05, + "loss": 0.8849, + "step": 13285 + }, + { + "epoch": 0.31, + "grad_norm": 1.7365320674118994, + "learning_rate": 1.6085495308908813e-05, + "loss": 0.8002, + "step": 13286 + }, + { + "epoch": 0.31, + "grad_norm": 0.7859309537430208, + "learning_rate": 1.60848898059871e-05, + "loss": 0.7246, + "step": 13287 + }, + { + "epoch": 0.31, + "grad_norm": 0.8205940656716356, + "learning_rate": 1.6084284267637228e-05, + "loss": 0.7909, + "step": 13288 + }, + { + "epoch": 0.31, + "grad_norm": 0.7710806768589046, + "learning_rate": 1.6083678693862725e-05, + "loss": 0.7411, + "step": 13289 + }, + { + "epoch": 0.31, + "grad_norm": 1.8248284156843195, + "learning_rate": 1.608307308466712e-05, + "loss": 0.918, + "step": 13290 + }, + { + "epoch": 0.31, + "grad_norm": 2.211659088028223, + "learning_rate": 1.608246744005394e-05, + "loss": 0.9448, + "step": 13291 + }, + { + "epoch": 0.31, + "grad_norm": 0.7340525887339576, + "learning_rate": 1.6081861760026708e-05, + "loss": 0.6975, + "step": 13292 + }, + { + "epoch": 0.31, + "grad_norm": 1.5464027631944817, + "learning_rate": 1.608125604458895e-05, + "loss": 0.991, + "step": 13293 + }, + { + "epoch": 0.31, + "grad_norm": 1.9482616063873508, + "learning_rate": 1.6080650293744192e-05, + "loss": 0.8924, + "step": 13294 + }, + { + "epoch": 0.31, + "grad_norm": 1.9400322954582039, + "learning_rate": 1.6080044507495967e-05, + "loss": 0.9101, + "step": 13295 + }, + { + "epoch": 0.31, + "grad_norm": 1.5443059635311034, + "learning_rate": 1.6079438685847796e-05, + "loss": 0.9548, + "step": 13296 + }, + { + "epoch": 0.31, + "grad_norm": 1.473346892564918, + "learning_rate": 1.607883282880321e-05, + "loss": 0.9854, + "step": 13297 + }, + { + "epoch": 0.31, + "grad_norm": 1.5276968233410058, + "learning_rate": 1.607822693636573e-05, + "loss": 0.8413, + "step": 13298 + }, + { + "epoch": 0.31, + "grad_norm": 1.59955823579898, + "learning_rate": 1.607762100853889e-05, + "loss": 0.8932, + "step": 13299 + }, + { + "epoch": 0.31, + "grad_norm": 0.8623664928884804, + "learning_rate": 1.607701504532622e-05, + "loss": 0.7622, + "step": 13300 + }, + { + "epoch": 0.31, + "grad_norm": 1.988420001083008, + "learning_rate": 1.6076409046731243e-05, + "loss": 0.899, + "step": 13301 + }, + { + "epoch": 0.31, + "grad_norm": 1.9637074684180642, + "learning_rate": 1.607580301275749e-05, + "loss": 0.887, + "step": 13302 + }, + { + "epoch": 0.31, + "grad_norm": 1.818402534732853, + "learning_rate": 1.6075196943408485e-05, + "loss": 0.8723, + "step": 13303 + }, + { + "epoch": 0.31, + "grad_norm": 1.5541644614005266, + "learning_rate": 1.607459083868776e-05, + "loss": 0.7462, + "step": 13304 + }, + { + "epoch": 0.31, + "grad_norm": 5.343420358261279, + "learning_rate": 1.6073984698598845e-05, + "loss": 0.8613, + "step": 13305 + }, + { + "epoch": 0.31, + "grad_norm": 1.6294763968249693, + "learning_rate": 1.6073378523145272e-05, + "loss": 0.8941, + "step": 13306 + }, + { + "epoch": 0.31, + "grad_norm": 2.0483174521730727, + "learning_rate": 1.607277231233056e-05, + "loss": 0.9864, + "step": 13307 + }, + { + "epoch": 0.31, + "grad_norm": 2.2415659843750144, + "learning_rate": 1.607216606615825e-05, + "loss": 0.9914, + "step": 13308 + }, + { + "epoch": 0.31, + "grad_norm": 1.633998954843783, + "learning_rate": 1.6071559784631862e-05, + "loss": 0.7604, + "step": 13309 + }, + { + "epoch": 0.31, + "grad_norm": 1.6405276314510466, + "learning_rate": 1.6070953467754935e-05, + "loss": 0.9509, + "step": 13310 + }, + { + "epoch": 0.31, + "grad_norm": 1.5173043991029533, + "learning_rate": 1.6070347115530994e-05, + "loss": 0.8618, + "step": 13311 + }, + { + "epoch": 0.31, + "grad_norm": 1.661471939139421, + "learning_rate": 1.606974072796357e-05, + "loss": 0.8062, + "step": 13312 + }, + { + "epoch": 0.31, + "grad_norm": 1.6153600445948488, + "learning_rate": 1.6069134305056193e-05, + "loss": 0.8935, + "step": 13313 + }, + { + "epoch": 0.31, + "grad_norm": 1.681054704507441, + "learning_rate": 1.6068527846812398e-05, + "loss": 0.8478, + "step": 13314 + }, + { + "epoch": 0.31, + "grad_norm": 1.5671545104548545, + "learning_rate": 1.6067921353235707e-05, + "loss": 0.9075, + "step": 13315 + }, + { + "epoch": 0.31, + "grad_norm": 1.84443156906302, + "learning_rate": 1.606731482432966e-05, + "loss": 1.0455, + "step": 13316 + }, + { + "epoch": 0.31, + "grad_norm": 1.5632183543894451, + "learning_rate": 1.6066708260097782e-05, + "loss": 0.9763, + "step": 13317 + }, + { + "epoch": 0.31, + "grad_norm": 1.645897750662952, + "learning_rate": 1.6066101660543612e-05, + "loss": 0.9889, + "step": 13318 + }, + { + "epoch": 0.31, + "grad_norm": 1.5556578467296387, + "learning_rate": 1.6065495025670675e-05, + "loss": 0.8747, + "step": 13319 + }, + { + "epoch": 0.31, + "grad_norm": 1.5549161475702407, + "learning_rate": 1.606488835548251e-05, + "loss": 0.956, + "step": 13320 + }, + { + "epoch": 0.31, + "grad_norm": 1.581651867692216, + "learning_rate": 1.6064281649982637e-05, + "loss": 0.9974, + "step": 13321 + }, + { + "epoch": 0.31, + "grad_norm": 1.5195812092863243, + "learning_rate": 1.6063674909174604e-05, + "loss": 0.953, + "step": 13322 + }, + { + "epoch": 0.31, + "grad_norm": 1.6127317962614665, + "learning_rate": 1.606306813306193e-05, + "loss": 0.867, + "step": 13323 + }, + { + "epoch": 0.31, + "grad_norm": 1.811212617436318, + "learning_rate": 1.606246132164816e-05, + "loss": 0.8787, + "step": 13324 + }, + { + "epoch": 0.31, + "grad_norm": 1.7371298095763215, + "learning_rate": 1.606185447493682e-05, + "loss": 1.0252, + "step": 13325 + }, + { + "epoch": 0.31, + "grad_norm": 1.7590565729541174, + "learning_rate": 1.606124759293144e-05, + "loss": 0.873, + "step": 13326 + }, + { + "epoch": 0.31, + "grad_norm": 1.4485351409849743, + "learning_rate": 1.606064067563556e-05, + "loss": 0.8752, + "step": 13327 + }, + { + "epoch": 0.31, + "grad_norm": 1.6953712671697816, + "learning_rate": 1.6060033723052707e-05, + "loss": 1.0418, + "step": 13328 + }, + { + "epoch": 0.31, + "grad_norm": 1.7865306645039245, + "learning_rate": 1.6059426735186426e-05, + "loss": 0.8658, + "step": 13329 + }, + { + "epoch": 0.31, + "grad_norm": 1.6892519040843235, + "learning_rate": 1.6058819712040237e-05, + "loss": 0.9901, + "step": 13330 + }, + { + "epoch": 0.31, + "grad_norm": 1.631484565924258, + "learning_rate": 1.6058212653617688e-05, + "loss": 0.9249, + "step": 13331 + }, + { + "epoch": 0.31, + "grad_norm": 1.5845094686795937, + "learning_rate": 1.60576055599223e-05, + "loss": 0.8882, + "step": 13332 + }, + { + "epoch": 0.31, + "grad_norm": 1.6551820786233, + "learning_rate": 1.605699843095762e-05, + "loss": 0.8367, + "step": 13333 + }, + { + "epoch": 0.31, + "grad_norm": 1.808260203899369, + "learning_rate": 1.6056391266727178e-05, + "loss": 0.7964, + "step": 13334 + }, + { + "epoch": 0.31, + "grad_norm": 1.900690240286219, + "learning_rate": 1.6055784067234507e-05, + "loss": 0.8832, + "step": 13335 + }, + { + "epoch": 0.31, + "grad_norm": 1.5813967611649076, + "learning_rate": 1.6055176832483143e-05, + "loss": 0.8602, + "step": 13336 + }, + { + "epoch": 0.31, + "grad_norm": 1.73262570529994, + "learning_rate": 1.6054569562476622e-05, + "loss": 0.9876, + "step": 13337 + }, + { + "epoch": 0.31, + "grad_norm": 0.8342748317533613, + "learning_rate": 1.6053962257218483e-05, + "loss": 0.7487, + "step": 13338 + }, + { + "epoch": 0.31, + "grad_norm": 0.7942304435721074, + "learning_rate": 1.6053354916712258e-05, + "loss": 0.7541, + "step": 13339 + }, + { + "epoch": 0.31, + "grad_norm": 1.7613651864543356, + "learning_rate": 1.6052747540961483e-05, + "loss": 0.8245, + "step": 13340 + }, + { + "epoch": 0.31, + "grad_norm": 1.653932329472362, + "learning_rate": 1.60521401299697e-05, + "loss": 0.8791, + "step": 13341 + }, + { + "epoch": 0.31, + "grad_norm": 1.749597440455945, + "learning_rate": 1.6051532683740433e-05, + "loss": 0.9285, + "step": 13342 + }, + { + "epoch": 0.31, + "grad_norm": 1.619083434699407, + "learning_rate": 1.6050925202277232e-05, + "loss": 0.8711, + "step": 13343 + }, + { + "epoch": 0.31, + "grad_norm": 1.665823545226649, + "learning_rate": 1.6050317685583627e-05, + "loss": 0.9256, + "step": 13344 + }, + { + "epoch": 0.31, + "grad_norm": 1.6549305817459397, + "learning_rate": 1.604971013366316e-05, + "loss": 0.7939, + "step": 13345 + }, + { + "epoch": 0.31, + "grad_norm": 1.5436159595600545, + "learning_rate": 1.6049102546519363e-05, + "loss": 0.8315, + "step": 13346 + }, + { + "epoch": 0.31, + "grad_norm": 1.5409651472923895, + "learning_rate": 1.6048494924155776e-05, + "loss": 0.8257, + "step": 13347 + }, + { + "epoch": 0.31, + "grad_norm": 1.6593481144154314, + "learning_rate": 1.6047887266575936e-05, + "loss": 0.9802, + "step": 13348 + }, + { + "epoch": 0.31, + "grad_norm": 1.7694757527975953, + "learning_rate": 1.6047279573783382e-05, + "loss": 0.8926, + "step": 13349 + }, + { + "epoch": 0.31, + "grad_norm": 1.7431632683555813, + "learning_rate": 1.6046671845781653e-05, + "loss": 0.9369, + "step": 13350 + }, + { + "epoch": 0.31, + "grad_norm": 1.6330455988740082, + "learning_rate": 1.6046064082574284e-05, + "loss": 0.9397, + "step": 13351 + }, + { + "epoch": 0.31, + "grad_norm": 1.8898838720076774, + "learning_rate": 1.604545628416482e-05, + "loss": 0.9395, + "step": 13352 + }, + { + "epoch": 0.31, + "grad_norm": 1.5165553757387444, + "learning_rate": 1.6044848450556788e-05, + "loss": 0.8242, + "step": 13353 + }, + { + "epoch": 0.31, + "grad_norm": 0.7431652994324169, + "learning_rate": 1.6044240581753742e-05, + "loss": 0.7261, + "step": 13354 + }, + { + "epoch": 0.31, + "grad_norm": 1.4200559119769107, + "learning_rate": 1.604363267775921e-05, + "loss": 0.8121, + "step": 13355 + }, + { + "epoch": 0.31, + "grad_norm": 1.4644292480805525, + "learning_rate": 1.604302473857674e-05, + "loss": 0.7627, + "step": 13356 + }, + { + "epoch": 0.31, + "grad_norm": 1.9955933857712527, + "learning_rate": 1.604241676420986e-05, + "loss": 0.7342, + "step": 13357 + }, + { + "epoch": 0.31, + "grad_norm": 2.3785084254665207, + "learning_rate": 1.604180875466212e-05, + "loss": 0.8803, + "step": 13358 + }, + { + "epoch": 0.31, + "grad_norm": 1.6470521588162206, + "learning_rate": 1.6041200709937058e-05, + "loss": 0.8969, + "step": 13359 + }, + { + "epoch": 0.31, + "grad_norm": 2.1229901701014398, + "learning_rate": 1.604059263003821e-05, + "loss": 1.0489, + "step": 13360 + }, + { + "epoch": 0.31, + "grad_norm": 2.3618853080664444, + "learning_rate": 1.603998451496912e-05, + "loss": 0.8875, + "step": 13361 + }, + { + "epoch": 0.31, + "grad_norm": 1.7662832002329785, + "learning_rate": 1.6039376364733328e-05, + "loss": 0.8578, + "step": 13362 + }, + { + "epoch": 0.31, + "grad_norm": 1.5470870888899282, + "learning_rate": 1.6038768179334373e-05, + "loss": 0.779, + "step": 13363 + }, + { + "epoch": 0.31, + "grad_norm": 1.9106739518944265, + "learning_rate": 1.60381599587758e-05, + "loss": 0.8048, + "step": 13364 + }, + { + "epoch": 0.31, + "grad_norm": 0.7510492318115267, + "learning_rate": 1.6037551703061148e-05, + "loss": 0.7348, + "step": 13365 + }, + { + "epoch": 0.31, + "grad_norm": 2.0502936453385496, + "learning_rate": 1.603694341219396e-05, + "loss": 1.0093, + "step": 13366 + }, + { + "epoch": 0.31, + "grad_norm": 1.378198795497905, + "learning_rate": 1.6036335086177772e-05, + "loss": 0.9116, + "step": 13367 + }, + { + "epoch": 0.31, + "grad_norm": 1.828148681453363, + "learning_rate": 1.6035726725016134e-05, + "loss": 0.7724, + "step": 13368 + }, + { + "epoch": 0.31, + "grad_norm": 1.8074717380875374, + "learning_rate": 1.6035118328712583e-05, + "loss": 0.8814, + "step": 13369 + }, + { + "epoch": 0.31, + "grad_norm": 1.5217614329453124, + "learning_rate": 1.603450989727066e-05, + "loss": 0.9842, + "step": 13370 + }, + { + "epoch": 0.32, + "grad_norm": 0.7588037306240506, + "learning_rate": 1.603390143069391e-05, + "loss": 0.7638, + "step": 13371 + }, + { + "epoch": 0.32, + "grad_norm": 2.3944064861577092, + "learning_rate": 1.603329292898588e-05, + "loss": 0.8551, + "step": 13372 + }, + { + "epoch": 0.32, + "grad_norm": 1.4679451822215033, + "learning_rate": 1.6032684392150108e-05, + "loss": 0.9154, + "step": 13373 + }, + { + "epoch": 0.32, + "grad_norm": 0.7243785877816236, + "learning_rate": 1.6032075820190134e-05, + "loss": 0.7205, + "step": 13374 + }, + { + "epoch": 0.32, + "grad_norm": 2.005926340077844, + "learning_rate": 1.6031467213109505e-05, + "loss": 0.9122, + "step": 13375 + }, + { + "epoch": 0.32, + "grad_norm": 1.5926958629979546, + "learning_rate": 1.6030858570911768e-05, + "loss": 0.7921, + "step": 13376 + }, + { + "epoch": 0.32, + "grad_norm": 1.5722599653251736, + "learning_rate": 1.603024989360046e-05, + "loss": 0.8054, + "step": 13377 + }, + { + "epoch": 0.32, + "grad_norm": 1.8016328412615519, + "learning_rate": 1.602964118117913e-05, + "loss": 1.0011, + "step": 13378 + }, + { + "epoch": 0.32, + "grad_norm": 1.7594969264779652, + "learning_rate": 1.6029032433651317e-05, + "loss": 0.7446, + "step": 13379 + }, + { + "epoch": 0.32, + "grad_norm": 1.746840272902509, + "learning_rate": 1.6028423651020572e-05, + "loss": 1.0151, + "step": 13380 + }, + { + "epoch": 0.32, + "grad_norm": 2.365154808831526, + "learning_rate": 1.6027814833290435e-05, + "loss": 0.8328, + "step": 13381 + }, + { + "epoch": 0.32, + "grad_norm": 2.004391471518366, + "learning_rate": 1.602720598046445e-05, + "loss": 0.7144, + "step": 13382 + }, + { + "epoch": 0.32, + "grad_norm": 1.7131504713131975, + "learning_rate": 1.6026597092546164e-05, + "loss": 0.9234, + "step": 13383 + }, + { + "epoch": 0.32, + "grad_norm": 1.5781583091288172, + "learning_rate": 1.6025988169539122e-05, + "loss": 0.9162, + "step": 13384 + }, + { + "epoch": 0.32, + "grad_norm": 1.8072543816049662, + "learning_rate": 1.602537921144687e-05, + "loss": 0.9937, + "step": 13385 + }, + { + "epoch": 0.32, + "grad_norm": 1.5919148127367138, + "learning_rate": 1.602477021827295e-05, + "loss": 1.0434, + "step": 13386 + }, + { + "epoch": 0.32, + "grad_norm": 2.017710655512892, + "learning_rate": 1.6024161190020913e-05, + "loss": 0.9942, + "step": 13387 + }, + { + "epoch": 0.32, + "grad_norm": 1.6285596858429956, + "learning_rate": 1.60235521266943e-05, + "loss": 0.9254, + "step": 13388 + }, + { + "epoch": 0.32, + "grad_norm": 1.622626445932437, + "learning_rate": 1.6022943028296663e-05, + "loss": 0.9136, + "step": 13389 + }, + { + "epoch": 0.32, + "grad_norm": 1.5472572234602382, + "learning_rate": 1.6022333894831543e-05, + "loss": 0.8979, + "step": 13390 + }, + { + "epoch": 0.32, + "grad_norm": 1.9086336329980822, + "learning_rate": 1.6021724726302487e-05, + "loss": 0.8954, + "step": 13391 + }, + { + "epoch": 0.32, + "grad_norm": 0.8059807106741306, + "learning_rate": 1.6021115522713047e-05, + "loss": 0.7409, + "step": 13392 + }, + { + "epoch": 0.32, + "grad_norm": 1.7232018028458413, + "learning_rate": 1.6020506284066763e-05, + "loss": 0.9859, + "step": 13393 + }, + { + "epoch": 0.32, + "grad_norm": 1.8562161043816554, + "learning_rate": 1.6019897010367186e-05, + "loss": 0.8551, + "step": 13394 + }, + { + "epoch": 0.32, + "grad_norm": 1.6287156262116131, + "learning_rate": 1.6019287701617863e-05, + "loss": 1.0456, + "step": 13395 + }, + { + "epoch": 0.32, + "grad_norm": 1.77196931396854, + "learning_rate": 1.6018678357822343e-05, + "loss": 0.7477, + "step": 13396 + }, + { + "epoch": 0.32, + "grad_norm": 1.5266794064165297, + "learning_rate": 1.601806897898417e-05, + "loss": 0.9289, + "step": 13397 + }, + { + "epoch": 0.32, + "grad_norm": 0.7592544127685966, + "learning_rate": 1.6017459565106896e-05, + "loss": 0.7127, + "step": 13398 + }, + { + "epoch": 0.32, + "grad_norm": 1.678555476204215, + "learning_rate": 1.601685011619406e-05, + "loss": 0.9025, + "step": 13399 + }, + { + "epoch": 0.32, + "grad_norm": 1.4508830337131273, + "learning_rate": 1.6016240632249224e-05, + "loss": 0.8512, + "step": 13400 + }, + { + "epoch": 0.32, + "grad_norm": 0.7887996291078568, + "learning_rate": 1.601563111327593e-05, + "loss": 0.7647, + "step": 13401 + }, + { + "epoch": 0.32, + "grad_norm": 1.589544327545359, + "learning_rate": 1.601502155927773e-05, + "loss": 0.9084, + "step": 13402 + }, + { + "epoch": 0.32, + "grad_norm": 1.642888786356929, + "learning_rate": 1.6014411970258166e-05, + "loss": 0.9578, + "step": 13403 + }, + { + "epoch": 0.32, + "grad_norm": 1.7574307121804846, + "learning_rate": 1.601380234622079e-05, + "loss": 0.9105, + "step": 13404 + }, + { + "epoch": 0.32, + "grad_norm": 0.779055699359544, + "learning_rate": 1.601319268716916e-05, + "loss": 0.685, + "step": 13405 + }, + { + "epoch": 0.32, + "grad_norm": 1.9764671847801587, + "learning_rate": 1.6012582993106812e-05, + "loss": 0.9779, + "step": 13406 + }, + { + "epoch": 0.32, + "grad_norm": 0.734465013052186, + "learning_rate": 1.6011973264037305e-05, + "loss": 0.748, + "step": 13407 + }, + { + "epoch": 0.32, + "grad_norm": 0.7873690963837311, + "learning_rate": 1.6011363499964185e-05, + "loss": 0.6957, + "step": 13408 + }, + { + "epoch": 0.32, + "grad_norm": 1.5011300628458633, + "learning_rate": 1.6010753700891003e-05, + "loss": 0.7453, + "step": 13409 + }, + { + "epoch": 0.32, + "grad_norm": 1.5151279740145744, + "learning_rate": 1.601014386682131e-05, + "loss": 0.8646, + "step": 13410 + }, + { + "epoch": 0.32, + "grad_norm": 1.7450611452591143, + "learning_rate": 1.600953399775866e-05, + "loss": 0.9554, + "step": 13411 + }, + { + "epoch": 0.32, + "grad_norm": 1.6733052318253177, + "learning_rate": 1.60089240937066e-05, + "loss": 0.9076, + "step": 13412 + }, + { + "epoch": 0.32, + "grad_norm": 1.7322940827665572, + "learning_rate": 1.6008314154668676e-05, + "loss": 0.8259, + "step": 13413 + }, + { + "epoch": 0.32, + "grad_norm": 1.5269844545960565, + "learning_rate": 1.6007704180648448e-05, + "loss": 0.8759, + "step": 13414 + }, + { + "epoch": 0.32, + "grad_norm": 1.5606777856469733, + "learning_rate": 1.6007094171649463e-05, + "loss": 0.8409, + "step": 13415 + }, + { + "epoch": 0.32, + "grad_norm": 2.472967162790429, + "learning_rate": 1.6006484127675278e-05, + "loss": 0.8364, + "step": 13416 + }, + { + "epoch": 0.32, + "grad_norm": 1.7702490072138806, + "learning_rate": 1.6005874048729437e-05, + "loss": 1.0055, + "step": 13417 + }, + { + "epoch": 0.32, + "grad_norm": 1.7856131387055063, + "learning_rate": 1.6005263934815498e-05, + "loss": 0.9191, + "step": 13418 + }, + { + "epoch": 0.32, + "grad_norm": 1.7453246168138188, + "learning_rate": 1.600465378593701e-05, + "loss": 0.8636, + "step": 13419 + }, + { + "epoch": 0.32, + "grad_norm": 1.4243568495012946, + "learning_rate": 1.6004043602097527e-05, + "loss": 0.9136, + "step": 13420 + }, + { + "epoch": 0.32, + "grad_norm": 1.3922190277606887, + "learning_rate": 1.6003433383300603e-05, + "loss": 0.9348, + "step": 13421 + }, + { + "epoch": 0.32, + "grad_norm": 2.0552901305073865, + "learning_rate": 1.6002823129549784e-05, + "loss": 0.8123, + "step": 13422 + }, + { + "epoch": 0.32, + "grad_norm": 1.7635820644049047, + "learning_rate": 1.600221284084863e-05, + "loss": 0.86, + "step": 13423 + }, + { + "epoch": 0.32, + "grad_norm": 2.0581594805683756, + "learning_rate": 1.6001602517200698e-05, + "loss": 0.8904, + "step": 13424 + }, + { + "epoch": 0.32, + "grad_norm": 1.7335822694137153, + "learning_rate": 1.600099215860953e-05, + "loss": 0.8392, + "step": 13425 + }, + { + "epoch": 0.32, + "grad_norm": 1.635223574092222, + "learning_rate": 1.600038176507869e-05, + "loss": 0.8207, + "step": 13426 + }, + { + "epoch": 0.32, + "grad_norm": 1.5558946945008645, + "learning_rate": 1.5999771336611726e-05, + "loss": 0.7771, + "step": 13427 + }, + { + "epoch": 0.32, + "grad_norm": 1.511949802185267, + "learning_rate": 1.5999160873212193e-05, + "loss": 0.8577, + "step": 13428 + }, + { + "epoch": 0.32, + "grad_norm": 1.9929621142734784, + "learning_rate": 1.599855037488365e-05, + "loss": 0.8554, + "step": 13429 + }, + { + "epoch": 0.32, + "grad_norm": 1.768993006750124, + "learning_rate": 1.599793984162964e-05, + "loss": 0.9713, + "step": 13430 + }, + { + "epoch": 0.32, + "grad_norm": 1.788134939057076, + "learning_rate": 1.599732927345373e-05, + "loss": 1.0287, + "step": 13431 + }, + { + "epoch": 0.32, + "grad_norm": 1.5483537621520642, + "learning_rate": 1.599671867035947e-05, + "loss": 0.9189, + "step": 13432 + }, + { + "epoch": 0.32, + "grad_norm": 1.6784166010893615, + "learning_rate": 1.5996108032350414e-05, + "loss": 0.9178, + "step": 13433 + }, + { + "epoch": 0.32, + "grad_norm": 1.9087569499539683, + "learning_rate": 1.599549735943012e-05, + "loss": 0.8643, + "step": 13434 + }, + { + "epoch": 0.32, + "grad_norm": 2.1728938230814223, + "learning_rate": 1.599488665160214e-05, + "loss": 0.9782, + "step": 13435 + }, + { + "epoch": 0.32, + "grad_norm": 1.8545760299425171, + "learning_rate": 1.5994275908870037e-05, + "loss": 0.9991, + "step": 13436 + }, + { + "epoch": 0.32, + "grad_norm": 1.5723337470795573, + "learning_rate": 1.599366513123736e-05, + "loss": 0.984, + "step": 13437 + }, + { + "epoch": 0.32, + "grad_norm": 1.712669478409587, + "learning_rate": 1.5993054318707665e-05, + "loss": 0.9429, + "step": 13438 + }, + { + "epoch": 0.32, + "grad_norm": 1.522930618203426, + "learning_rate": 1.599244347128451e-05, + "loss": 0.883, + "step": 13439 + }, + { + "epoch": 0.32, + "grad_norm": 1.6358639092847436, + "learning_rate": 1.5991832588971454e-05, + "loss": 0.9016, + "step": 13440 + }, + { + "epoch": 0.32, + "grad_norm": 1.8218632608050265, + "learning_rate": 1.5991221671772053e-05, + "loss": 0.8304, + "step": 13441 + }, + { + "epoch": 0.32, + "grad_norm": 4.464969583181455, + "learning_rate": 1.5990610719689858e-05, + "loss": 0.8943, + "step": 13442 + }, + { + "epoch": 0.32, + "grad_norm": 1.7474850455165176, + "learning_rate": 1.5989999732728434e-05, + "loss": 0.9346, + "step": 13443 + }, + { + "epoch": 0.32, + "grad_norm": 1.5901175772314533, + "learning_rate": 1.5989388710891334e-05, + "loss": 0.8041, + "step": 13444 + }, + { + "epoch": 0.32, + "grad_norm": 1.8871909865058767, + "learning_rate": 1.5988777654182118e-05, + "loss": 0.8911, + "step": 13445 + }, + { + "epoch": 0.32, + "grad_norm": 2.154193137089203, + "learning_rate": 1.5988166562604343e-05, + "loss": 0.8379, + "step": 13446 + }, + { + "epoch": 0.32, + "grad_norm": 1.4681374879001075, + "learning_rate": 1.5987555436161564e-05, + "loss": 0.8164, + "step": 13447 + }, + { + "epoch": 0.32, + "grad_norm": 1.6086391742248811, + "learning_rate": 1.5986944274857344e-05, + "loss": 0.8831, + "step": 13448 + }, + { + "epoch": 0.32, + "grad_norm": 1.7199546465993996, + "learning_rate": 1.598633307869524e-05, + "loss": 1.0196, + "step": 13449 + }, + { + "epoch": 0.32, + "grad_norm": 1.8306698677364601, + "learning_rate": 1.5985721847678806e-05, + "loss": 1.1304, + "step": 13450 + }, + { + "epoch": 0.32, + "grad_norm": 1.767759774717876, + "learning_rate": 1.59851105818116e-05, + "loss": 0.9178, + "step": 13451 + }, + { + "epoch": 0.32, + "grad_norm": 1.544065948794481, + "learning_rate": 1.5984499281097194e-05, + "loss": 1.0395, + "step": 13452 + }, + { + "epoch": 0.32, + "grad_norm": 1.7479982494372086, + "learning_rate": 1.5983887945539138e-05, + "loss": 0.969, + "step": 13453 + }, + { + "epoch": 0.32, + "grad_norm": 1.5453251352772364, + "learning_rate": 1.5983276575140986e-05, + "loss": 0.935, + "step": 13454 + }, + { + "epoch": 0.32, + "grad_norm": 1.6062215214911684, + "learning_rate": 1.598266516990631e-05, + "loss": 0.8981, + "step": 13455 + }, + { + "epoch": 0.32, + "grad_norm": 1.7774682460041626, + "learning_rate": 1.5982053729838657e-05, + "loss": 0.7712, + "step": 13456 + }, + { + "epoch": 0.32, + "grad_norm": 2.275373110990287, + "learning_rate": 1.59814422549416e-05, + "loss": 0.8863, + "step": 13457 + }, + { + "epoch": 0.32, + "grad_norm": 1.5312633517243381, + "learning_rate": 1.5980830745218686e-05, + "loss": 0.8756, + "step": 13458 + }, + { + "epoch": 0.32, + "grad_norm": 1.6060146274413125, + "learning_rate": 1.5980219200673488e-05, + "loss": 0.9806, + "step": 13459 + }, + { + "epoch": 0.32, + "grad_norm": 1.5363587516359358, + "learning_rate": 1.5979607621309557e-05, + "loss": 0.8512, + "step": 13460 + }, + { + "epoch": 0.32, + "grad_norm": 1.900572636892893, + "learning_rate": 1.597899600713046e-05, + "loss": 0.8598, + "step": 13461 + }, + { + "epoch": 0.32, + "grad_norm": 1.66181844483198, + "learning_rate": 1.5978384358139752e-05, + "loss": 0.9152, + "step": 13462 + }, + { + "epoch": 0.32, + "grad_norm": 1.710561945778161, + "learning_rate": 1.5977772674340996e-05, + "loss": 0.957, + "step": 13463 + }, + { + "epoch": 0.32, + "grad_norm": 1.6362946140967365, + "learning_rate": 1.5977160955737758e-05, + "loss": 0.8634, + "step": 13464 + }, + { + "epoch": 0.32, + "grad_norm": 0.780344601342769, + "learning_rate": 1.59765492023336e-05, + "loss": 0.7219, + "step": 13465 + }, + { + "epoch": 0.32, + "grad_norm": 1.4821850143904798, + "learning_rate": 1.5975937414132076e-05, + "loss": 0.9055, + "step": 13466 + }, + { + "epoch": 0.32, + "grad_norm": 1.5106117503772571, + "learning_rate": 1.5975325591136753e-05, + "loss": 1.0359, + "step": 13467 + }, + { + "epoch": 0.32, + "grad_norm": 1.8934820316253094, + "learning_rate": 1.5974713733351192e-05, + "loss": 0.8385, + "step": 13468 + }, + { + "epoch": 0.32, + "grad_norm": 0.9025305355593176, + "learning_rate": 1.5974101840778954e-05, + "loss": 0.8056, + "step": 13469 + }, + { + "epoch": 0.32, + "grad_norm": 1.8935744544057904, + "learning_rate": 1.597348991342361e-05, + "loss": 0.9837, + "step": 13470 + }, + { + "epoch": 0.32, + "grad_norm": 1.62117530290152, + "learning_rate": 1.597287795128871e-05, + "loss": 0.9398, + "step": 13471 + }, + { + "epoch": 0.32, + "grad_norm": 1.978636016247216, + "learning_rate": 1.597226595437783e-05, + "loss": 0.9277, + "step": 13472 + }, + { + "epoch": 0.32, + "grad_norm": 1.5954270374613702, + "learning_rate": 1.597165392269452e-05, + "loss": 0.8985, + "step": 13473 + }, + { + "epoch": 0.32, + "grad_norm": 1.8324802534327997, + "learning_rate": 1.5971041856242356e-05, + "loss": 0.8942, + "step": 13474 + }, + { + "epoch": 0.32, + "grad_norm": 0.7441890511030798, + "learning_rate": 1.5970429755024893e-05, + "loss": 0.7247, + "step": 13475 + }, + { + "epoch": 0.32, + "grad_norm": 1.5626451260999725, + "learning_rate": 1.59698176190457e-05, + "loss": 0.9563, + "step": 13476 + }, + { + "epoch": 0.32, + "grad_norm": 1.5716451021254205, + "learning_rate": 1.5969205448308335e-05, + "loss": 0.904, + "step": 13477 + }, + { + "epoch": 0.32, + "grad_norm": 0.7839771693028731, + "learning_rate": 1.596859324281637e-05, + "loss": 0.7449, + "step": 13478 + }, + { + "epoch": 0.32, + "grad_norm": 1.567938432150312, + "learning_rate": 1.5967981002573362e-05, + "loss": 0.9616, + "step": 13479 + }, + { + "epoch": 0.32, + "grad_norm": 0.7612691071398883, + "learning_rate": 1.5967368727582882e-05, + "loss": 0.7351, + "step": 13480 + }, + { + "epoch": 0.32, + "grad_norm": 1.5524804509714432, + "learning_rate": 1.5966756417848492e-05, + "loss": 0.9666, + "step": 13481 + }, + { + "epoch": 0.32, + "grad_norm": 1.6028982691342712, + "learning_rate": 1.5966144073373755e-05, + "loss": 0.8571, + "step": 13482 + }, + { + "epoch": 0.32, + "grad_norm": 0.8462071631569217, + "learning_rate": 1.596553169416224e-05, + "loss": 0.7582, + "step": 13483 + }, + { + "epoch": 0.32, + "grad_norm": 1.4630928460813437, + "learning_rate": 1.596491928021751e-05, + "loss": 0.7992, + "step": 13484 + }, + { + "epoch": 0.32, + "grad_norm": 1.5381522150367741, + "learning_rate": 1.5964306831543132e-05, + "loss": 0.9163, + "step": 13485 + }, + { + "epoch": 0.32, + "grad_norm": 1.4568518800338779, + "learning_rate": 1.5963694348142672e-05, + "loss": 0.8583, + "step": 13486 + }, + { + "epoch": 0.32, + "grad_norm": 0.8384962337235918, + "learning_rate": 1.5963081830019692e-05, + "loss": 0.8012, + "step": 13487 + }, + { + "epoch": 0.32, + "grad_norm": 1.6293280596587916, + "learning_rate": 1.5962469277177766e-05, + "loss": 0.867, + "step": 13488 + }, + { + "epoch": 0.32, + "grad_norm": 1.6831986804324943, + "learning_rate": 1.5961856689620453e-05, + "loss": 0.864, + "step": 13489 + }, + { + "epoch": 0.32, + "grad_norm": 1.721296959880215, + "learning_rate": 1.5961244067351326e-05, + "loss": 0.8346, + "step": 13490 + }, + { + "epoch": 0.32, + "grad_norm": 0.7421776551884617, + "learning_rate": 1.5960631410373947e-05, + "loss": 0.7369, + "step": 13491 + }, + { + "epoch": 0.32, + "grad_norm": 1.5523136286932622, + "learning_rate": 1.5960018718691886e-05, + "loss": 0.9926, + "step": 13492 + }, + { + "epoch": 0.32, + "grad_norm": 1.6291850376425165, + "learning_rate": 1.5959405992308705e-05, + "loss": 0.8601, + "step": 13493 + }, + { + "epoch": 0.32, + "grad_norm": 1.5977708331246043, + "learning_rate": 1.595879323122798e-05, + "loss": 0.997, + "step": 13494 + }, + { + "epoch": 0.32, + "grad_norm": 1.5647434733575458, + "learning_rate": 1.5958180435453273e-05, + "loss": 0.9786, + "step": 13495 + }, + { + "epoch": 0.32, + "grad_norm": 1.8559014289118556, + "learning_rate": 1.5957567604988154e-05, + "loss": 0.8601, + "step": 13496 + }, + { + "epoch": 0.32, + "grad_norm": 1.7947245062300372, + "learning_rate": 1.595695473983619e-05, + "loss": 0.8804, + "step": 13497 + }, + { + "epoch": 0.32, + "grad_norm": 1.6152932875313173, + "learning_rate": 1.5956341840000948e-05, + "loss": 0.9348, + "step": 13498 + }, + { + "epoch": 0.32, + "grad_norm": 1.6472021266286245, + "learning_rate": 1.5955728905486e-05, + "loss": 0.9057, + "step": 13499 + }, + { + "epoch": 0.32, + "grad_norm": 2.0480417187944098, + "learning_rate": 1.595511593629491e-05, + "loss": 0.8849, + "step": 13500 + }, + { + "epoch": 0.32, + "grad_norm": 1.7694687675549632, + "learning_rate": 1.595450293243125e-05, + "loss": 0.9101, + "step": 13501 + }, + { + "epoch": 0.32, + "grad_norm": 1.742858382679007, + "learning_rate": 1.5953889893898592e-05, + "loss": 0.9746, + "step": 13502 + }, + { + "epoch": 0.32, + "grad_norm": 1.9822967156236335, + "learning_rate": 1.5953276820700502e-05, + "loss": 0.8386, + "step": 13503 + }, + { + "epoch": 0.32, + "grad_norm": 1.5581056837824736, + "learning_rate": 1.5952663712840542e-05, + "loss": 0.881, + "step": 13504 + }, + { + "epoch": 0.32, + "grad_norm": 1.581183048089411, + "learning_rate": 1.59520505703223e-05, + "loss": 0.9079, + "step": 13505 + }, + { + "epoch": 0.32, + "grad_norm": 1.723641851647317, + "learning_rate": 1.595143739314933e-05, + "loss": 1.0199, + "step": 13506 + }, + { + "epoch": 0.32, + "grad_norm": 1.912187187919737, + "learning_rate": 1.5950824181325206e-05, + "loss": 1.0396, + "step": 13507 + }, + { + "epoch": 0.32, + "grad_norm": 1.578982876677069, + "learning_rate": 1.5950210934853502e-05, + "loss": 0.9858, + "step": 13508 + }, + { + "epoch": 0.32, + "grad_norm": 1.5822739382611948, + "learning_rate": 1.5949597653737785e-05, + "loss": 0.8522, + "step": 13509 + }, + { + "epoch": 0.32, + "grad_norm": 2.1034416083295677, + "learning_rate": 1.594898433798163e-05, + "loss": 1.0145, + "step": 13510 + }, + { + "epoch": 0.32, + "grad_norm": 1.559219991604783, + "learning_rate": 1.59483709875886e-05, + "loss": 0.7992, + "step": 13511 + }, + { + "epoch": 0.32, + "grad_norm": 1.8940040659093074, + "learning_rate": 1.5947757602562273e-05, + "loss": 0.9308, + "step": 13512 + }, + { + "epoch": 0.32, + "grad_norm": 1.7722359946068087, + "learning_rate": 1.5947144182906217e-05, + "loss": 0.963, + "step": 13513 + }, + { + "epoch": 0.32, + "grad_norm": 1.5525832706791118, + "learning_rate": 1.5946530728624005e-05, + "loss": 0.899, + "step": 13514 + }, + { + "epoch": 0.32, + "grad_norm": 1.7524491045159107, + "learning_rate": 1.594591723971921e-05, + "loss": 0.8087, + "step": 13515 + }, + { + "epoch": 0.32, + "grad_norm": 1.6485377304610578, + "learning_rate": 1.5945303716195403e-05, + "loss": 1.005, + "step": 13516 + }, + { + "epoch": 0.32, + "grad_norm": 1.4137236920490737, + "learning_rate": 1.5944690158056154e-05, + "loss": 0.8403, + "step": 13517 + }, + { + "epoch": 0.32, + "grad_norm": 1.4838438410713253, + "learning_rate": 1.5944076565305032e-05, + "loss": 1.0205, + "step": 13518 + }, + { + "epoch": 0.32, + "grad_norm": 1.7230040214969404, + "learning_rate": 1.5943462937945624e-05, + "loss": 0.9838, + "step": 13519 + }, + { + "epoch": 0.32, + "grad_norm": 2.1329564528040574, + "learning_rate": 1.5942849275981488e-05, + "loss": 0.8988, + "step": 13520 + }, + { + "epoch": 0.32, + "grad_norm": 2.1338921047128494, + "learning_rate": 1.59422355794162e-05, + "loss": 0.9203, + "step": 13521 + }, + { + "epoch": 0.32, + "grad_norm": 2.2167341047749853, + "learning_rate": 1.5941621848253343e-05, + "loss": 0.9038, + "step": 13522 + }, + { + "epoch": 0.32, + "grad_norm": 1.6137186346634107, + "learning_rate": 1.5941008082496473e-05, + "loss": 0.876, + "step": 13523 + }, + { + "epoch": 0.32, + "grad_norm": 2.401843502254692, + "learning_rate": 1.594039428214918e-05, + "loss": 0.8813, + "step": 13524 + }, + { + "epoch": 0.32, + "grad_norm": 4.223547001832459, + "learning_rate": 1.5939780447215024e-05, + "loss": 0.8191, + "step": 13525 + }, + { + "epoch": 0.32, + "grad_norm": 1.5182193342305594, + "learning_rate": 1.5939166577697593e-05, + "loss": 0.8731, + "step": 13526 + }, + { + "epoch": 0.32, + "grad_norm": 1.9213840525043946, + "learning_rate": 1.593855267360045e-05, + "loss": 0.8499, + "step": 13527 + }, + { + "epoch": 0.32, + "grad_norm": 1.3855197626672313, + "learning_rate": 1.5937938734927174e-05, + "loss": 0.7966, + "step": 13528 + }, + { + "epoch": 0.32, + "grad_norm": 1.586169955190888, + "learning_rate": 1.593732476168134e-05, + "loss": 0.9046, + "step": 13529 + }, + { + "epoch": 0.32, + "grad_norm": 1.607318109813841, + "learning_rate": 1.5936710753866516e-05, + "loss": 0.8731, + "step": 13530 + }, + { + "epoch": 0.32, + "grad_norm": 0.8645636311611824, + "learning_rate": 1.5936096711486287e-05, + "loss": 0.7651, + "step": 13531 + }, + { + "epoch": 0.32, + "grad_norm": 0.792981714693356, + "learning_rate": 1.5935482634544227e-05, + "loss": 0.7252, + "step": 13532 + }, + { + "epoch": 0.32, + "grad_norm": 1.9299064603220903, + "learning_rate": 1.5934868523043903e-05, + "loss": 0.7762, + "step": 13533 + }, + { + "epoch": 0.32, + "grad_norm": 1.588611171702064, + "learning_rate": 1.5934254376988895e-05, + "loss": 0.8954, + "step": 13534 + }, + { + "epoch": 0.32, + "grad_norm": 1.6371871134004057, + "learning_rate": 1.5933640196382782e-05, + "loss": 0.9406, + "step": 13535 + }, + { + "epoch": 0.32, + "grad_norm": 1.716695800787938, + "learning_rate": 1.5933025981229136e-05, + "loss": 0.9599, + "step": 13536 + }, + { + "epoch": 0.32, + "grad_norm": 1.527950497812951, + "learning_rate": 1.5932411731531535e-05, + "loss": 0.9081, + "step": 13537 + }, + { + "epoch": 0.32, + "grad_norm": 0.8642802130663931, + "learning_rate": 1.5931797447293553e-05, + "loss": 0.7456, + "step": 13538 + }, + { + "epoch": 0.32, + "grad_norm": 0.739806296496257, + "learning_rate": 1.593118312851877e-05, + "loss": 0.7052, + "step": 13539 + }, + { + "epoch": 0.32, + "grad_norm": 1.8338981495540654, + "learning_rate": 1.5930568775210762e-05, + "loss": 0.9031, + "step": 13540 + }, + { + "epoch": 0.32, + "grad_norm": 1.676820712271961, + "learning_rate": 1.5929954387373103e-05, + "loss": 0.85, + "step": 13541 + }, + { + "epoch": 0.32, + "grad_norm": 2.0601614496985414, + "learning_rate": 1.5929339965009373e-05, + "loss": 0.9436, + "step": 13542 + }, + { + "epoch": 0.32, + "grad_norm": 1.5279542244955868, + "learning_rate": 1.592872550812315e-05, + "loss": 0.7694, + "step": 13543 + }, + { + "epoch": 0.32, + "grad_norm": 0.7850199441600783, + "learning_rate": 1.5928111016718005e-05, + "loss": 0.6871, + "step": 13544 + }, + { + "epoch": 0.32, + "grad_norm": 1.7979227715780117, + "learning_rate": 1.5927496490797526e-05, + "loss": 0.95, + "step": 13545 + }, + { + "epoch": 0.32, + "grad_norm": 1.8016752628926154, + "learning_rate": 1.5926881930365285e-05, + "loss": 0.9134, + "step": 13546 + }, + { + "epoch": 0.32, + "grad_norm": 1.66047494886655, + "learning_rate": 1.5926267335424857e-05, + "loss": 0.7172, + "step": 13547 + }, + { + "epoch": 0.32, + "grad_norm": 0.7415776103414659, + "learning_rate": 1.5925652705979828e-05, + "loss": 0.7438, + "step": 13548 + }, + { + "epoch": 0.32, + "grad_norm": 1.863079298456774, + "learning_rate": 1.592503804203377e-05, + "loss": 0.9065, + "step": 13549 + }, + { + "epoch": 0.32, + "grad_norm": 1.99032491397535, + "learning_rate": 1.592442334359027e-05, + "loss": 0.8282, + "step": 13550 + }, + { + "epoch": 0.32, + "grad_norm": 1.8891097170139537, + "learning_rate": 1.59238086106529e-05, + "loss": 0.8621, + "step": 13551 + }, + { + "epoch": 0.32, + "grad_norm": 1.6446172171178954, + "learning_rate": 1.592319384322524e-05, + "loss": 0.9785, + "step": 13552 + }, + { + "epoch": 0.32, + "grad_norm": 1.984887099225787, + "learning_rate": 1.5922579041310866e-05, + "loss": 0.8666, + "step": 13553 + }, + { + "epoch": 0.32, + "grad_norm": 1.8360754299854736, + "learning_rate": 1.5921964204913366e-05, + "loss": 0.9881, + "step": 13554 + }, + { + "epoch": 0.32, + "grad_norm": 1.769430326853215, + "learning_rate": 1.5921349334036316e-05, + "loss": 0.8942, + "step": 13555 + }, + { + "epoch": 0.32, + "grad_norm": 2.4988137695993626, + "learning_rate": 1.5920734428683295e-05, + "loss": 0.8701, + "step": 13556 + }, + { + "epoch": 0.32, + "grad_norm": 1.6071063723498025, + "learning_rate": 1.5920119488857885e-05, + "loss": 0.9281, + "step": 13557 + }, + { + "epoch": 0.32, + "grad_norm": 1.5275580324166407, + "learning_rate": 1.591950451456366e-05, + "loss": 0.8203, + "step": 13558 + }, + { + "epoch": 0.32, + "grad_norm": 1.8024013846927383, + "learning_rate": 1.591888950580421e-05, + "loss": 0.9525, + "step": 13559 + }, + { + "epoch": 0.32, + "grad_norm": 1.9539132445996945, + "learning_rate": 1.591827446258311e-05, + "loss": 0.8755, + "step": 13560 + }, + { + "epoch": 0.32, + "grad_norm": 1.6214419626849463, + "learning_rate": 1.5917659384903944e-05, + "loss": 0.9202, + "step": 13561 + }, + { + "epoch": 0.32, + "grad_norm": 1.5194877730759273, + "learning_rate": 1.5917044272770288e-05, + "loss": 0.9149, + "step": 13562 + }, + { + "epoch": 0.32, + "grad_norm": 2.0970589142834064, + "learning_rate": 1.5916429126185732e-05, + "loss": 0.8732, + "step": 13563 + }, + { + "epoch": 0.32, + "grad_norm": 1.8339084115758453, + "learning_rate": 1.5915813945153847e-05, + "loss": 0.8572, + "step": 13564 + }, + { + "epoch": 0.32, + "grad_norm": 6.354509503990565, + "learning_rate": 1.5915198729678224e-05, + "loss": 0.8531, + "step": 13565 + }, + { + "epoch": 0.32, + "grad_norm": 1.7591600536151517, + "learning_rate": 1.591458347976244e-05, + "loss": 0.9844, + "step": 13566 + }, + { + "epoch": 0.32, + "grad_norm": 1.5238899711951661, + "learning_rate": 1.5913968195410077e-05, + "loss": 0.9181, + "step": 13567 + }, + { + "epoch": 0.32, + "grad_norm": 1.6447761168689945, + "learning_rate": 1.5913352876624722e-05, + "loss": 0.9367, + "step": 13568 + }, + { + "epoch": 0.32, + "grad_norm": 1.6098675612085274, + "learning_rate": 1.591273752340995e-05, + "loss": 0.8242, + "step": 13569 + }, + { + "epoch": 0.32, + "grad_norm": 1.492509029804116, + "learning_rate": 1.5912122135769356e-05, + "loss": 0.8595, + "step": 13570 + }, + { + "epoch": 0.32, + "grad_norm": 1.849967988667861, + "learning_rate": 1.5911506713706507e-05, + "loss": 0.8363, + "step": 13571 + }, + { + "epoch": 0.32, + "grad_norm": 1.5526922461092176, + "learning_rate": 1.5910891257225e-05, + "loss": 0.9189, + "step": 13572 + }, + { + "epoch": 0.32, + "grad_norm": 1.64252514119755, + "learning_rate": 1.5910275766328408e-05, + "loss": 0.9268, + "step": 13573 + }, + { + "epoch": 0.32, + "grad_norm": 1.650931549622106, + "learning_rate": 1.5909660241020323e-05, + "loss": 1.0375, + "step": 13574 + }, + { + "epoch": 0.32, + "grad_norm": 0.7770086347406181, + "learning_rate": 1.5909044681304324e-05, + "loss": 0.7344, + "step": 13575 + }, + { + "epoch": 0.32, + "grad_norm": 1.769931920991025, + "learning_rate": 1.5908429087183998e-05, + "loss": 0.7931, + "step": 13576 + }, + { + "epoch": 0.32, + "grad_norm": 1.840758760774042, + "learning_rate": 1.5907813458662923e-05, + "loss": 1.0472, + "step": 13577 + }, + { + "epoch": 0.32, + "grad_norm": 1.7858349890798608, + "learning_rate": 1.590719779574469e-05, + "loss": 0.9391, + "step": 13578 + }, + { + "epoch": 0.32, + "grad_norm": 1.7075641226461635, + "learning_rate": 1.590658209843288e-05, + "loss": 0.8575, + "step": 13579 + }, + { + "epoch": 0.32, + "grad_norm": 0.7596976907100706, + "learning_rate": 1.590596636673108e-05, + "loss": 0.7372, + "step": 13580 + }, + { + "epoch": 0.32, + "grad_norm": 1.6901546478305494, + "learning_rate": 1.5905350600642876e-05, + "loss": 0.9001, + "step": 13581 + }, + { + "epoch": 0.32, + "grad_norm": 0.76370997662356, + "learning_rate": 1.590473480017185e-05, + "loss": 0.7153, + "step": 13582 + }, + { + "epoch": 0.32, + "grad_norm": 1.7629000893852174, + "learning_rate": 1.5904118965321585e-05, + "loss": 0.9337, + "step": 13583 + }, + { + "epoch": 0.32, + "grad_norm": 1.6017204022925804, + "learning_rate": 1.5903503096095674e-05, + "loss": 0.8817, + "step": 13584 + }, + { + "epoch": 0.32, + "grad_norm": 1.5341879355124206, + "learning_rate": 1.5902887192497698e-05, + "loss": 0.8257, + "step": 13585 + }, + { + "epoch": 0.32, + "grad_norm": 0.7517236586475258, + "learning_rate": 1.5902271254531245e-05, + "loss": 0.7085, + "step": 13586 + }, + { + "epoch": 0.32, + "grad_norm": 2.07475987070494, + "learning_rate": 1.59016552821999e-05, + "loss": 0.9021, + "step": 13587 + }, + { + "epoch": 0.32, + "grad_norm": 1.4267496565132658, + "learning_rate": 1.5901039275507247e-05, + "loss": 0.8373, + "step": 13588 + }, + { + "epoch": 0.32, + "grad_norm": 2.064201823641732, + "learning_rate": 1.5900423234456877e-05, + "loss": 0.7752, + "step": 13589 + }, + { + "epoch": 0.32, + "grad_norm": 1.5065351238750906, + "learning_rate": 1.5899807159052373e-05, + "loss": 0.9971, + "step": 13590 + }, + { + "epoch": 0.32, + "grad_norm": 2.2039962012852103, + "learning_rate": 1.5899191049297328e-05, + "loss": 0.8627, + "step": 13591 + }, + { + "epoch": 0.32, + "grad_norm": 1.6833409814530496, + "learning_rate": 1.589857490519532e-05, + "loss": 0.848, + "step": 13592 + }, + { + "epoch": 0.32, + "grad_norm": 1.640664854800265, + "learning_rate": 1.5897958726749947e-05, + "loss": 0.8467, + "step": 13593 + }, + { + "epoch": 0.32, + "grad_norm": 1.7587058179936754, + "learning_rate": 1.589734251396479e-05, + "loss": 0.9113, + "step": 13594 + }, + { + "epoch": 0.32, + "grad_norm": 1.6859987944180723, + "learning_rate": 1.5896726266843433e-05, + "loss": 0.9949, + "step": 13595 + }, + { + "epoch": 0.32, + "grad_norm": 1.5654720545626155, + "learning_rate": 1.589610998538947e-05, + "loss": 0.8276, + "step": 13596 + }, + { + "epoch": 0.32, + "grad_norm": 1.5998833561988166, + "learning_rate": 1.589549366960649e-05, + "loss": 0.8026, + "step": 13597 + }, + { + "epoch": 0.32, + "grad_norm": 1.6541958719868042, + "learning_rate": 1.589487731949808e-05, + "loss": 1.0014, + "step": 13598 + }, + { + "epoch": 0.32, + "grad_norm": 1.8518475835733683, + "learning_rate": 1.5894260935067828e-05, + "loss": 0.908, + "step": 13599 + }, + { + "epoch": 0.32, + "grad_norm": 0.781433423012512, + "learning_rate": 1.589364451631932e-05, + "loss": 0.7582, + "step": 13600 + }, + { + "epoch": 0.32, + "grad_norm": 1.817981924816172, + "learning_rate": 1.589302806325615e-05, + "loss": 0.9395, + "step": 13601 + }, + { + "epoch": 0.32, + "grad_norm": 1.5685608899785408, + "learning_rate": 1.5892411575881906e-05, + "loss": 0.7952, + "step": 13602 + }, + { + "epoch": 0.32, + "grad_norm": 1.6158589547053848, + "learning_rate": 1.5891795054200173e-05, + "loss": 1.0438, + "step": 13603 + }, + { + "epoch": 0.32, + "grad_norm": 1.54290153226478, + "learning_rate": 1.5891178498214545e-05, + "loss": 1.0629, + "step": 13604 + }, + { + "epoch": 0.32, + "grad_norm": 1.8639246291681393, + "learning_rate": 1.5890561907928612e-05, + "loss": 0.9222, + "step": 13605 + }, + { + "epoch": 0.32, + "grad_norm": 1.5532979256300272, + "learning_rate": 1.5889945283345963e-05, + "loss": 0.8856, + "step": 13606 + }, + { + "epoch": 0.32, + "grad_norm": 1.677467866548449, + "learning_rate": 1.5889328624470186e-05, + "loss": 0.9659, + "step": 13607 + }, + { + "epoch": 0.32, + "grad_norm": 1.5907855950317524, + "learning_rate": 1.5888711931304874e-05, + "loss": 0.9513, + "step": 13608 + }, + { + "epoch": 0.32, + "grad_norm": 1.5234151129422622, + "learning_rate": 1.5888095203853614e-05, + "loss": 0.8886, + "step": 13609 + }, + { + "epoch": 0.32, + "grad_norm": 1.879791349935586, + "learning_rate": 1.5887478442120007e-05, + "loss": 0.9856, + "step": 13610 + }, + { + "epoch": 0.32, + "grad_norm": 0.7787401246224976, + "learning_rate": 1.588686164610763e-05, + "loss": 0.7366, + "step": 13611 + }, + { + "epoch": 0.32, + "grad_norm": 1.6297887740139898, + "learning_rate": 1.5886244815820082e-05, + "loss": 0.9219, + "step": 13612 + }, + { + "epoch": 0.32, + "grad_norm": 0.7994576861924428, + "learning_rate": 1.5885627951260954e-05, + "loss": 0.7761, + "step": 13613 + }, + { + "epoch": 0.32, + "grad_norm": 1.731715465529374, + "learning_rate": 1.5885011052433834e-05, + "loss": 0.8783, + "step": 13614 + }, + { + "epoch": 0.32, + "grad_norm": 1.4492747856169572, + "learning_rate": 1.588439411934232e-05, + "loss": 0.8971, + "step": 13615 + }, + { + "epoch": 0.32, + "grad_norm": 2.2001798312435787, + "learning_rate": 1.5883777151990002e-05, + "loss": 0.7396, + "step": 13616 + }, + { + "epoch": 0.32, + "grad_norm": 1.8627400384641197, + "learning_rate": 1.588316015038047e-05, + "loss": 0.9113, + "step": 13617 + }, + { + "epoch": 0.32, + "grad_norm": 1.6449298793167226, + "learning_rate": 1.5882543114517313e-05, + "loss": 0.8782, + "step": 13618 + }, + { + "epoch": 0.32, + "grad_norm": 1.8608554166377673, + "learning_rate": 1.588192604440413e-05, + "loss": 0.9453, + "step": 13619 + }, + { + "epoch": 0.32, + "grad_norm": 1.574278400344219, + "learning_rate": 1.588130894004451e-05, + "loss": 0.8258, + "step": 13620 + }, + { + "epoch": 0.32, + "grad_norm": 1.798836949750184, + "learning_rate": 1.5880691801442047e-05, + "loss": 0.8938, + "step": 13621 + }, + { + "epoch": 0.32, + "grad_norm": 1.8252828771490186, + "learning_rate": 1.5880074628600338e-05, + "loss": 0.8606, + "step": 13622 + }, + { + "epoch": 0.32, + "grad_norm": 1.5036319961953004, + "learning_rate": 1.587945742152297e-05, + "loss": 0.8053, + "step": 13623 + }, + { + "epoch": 0.32, + "grad_norm": 1.609677167037763, + "learning_rate": 1.587884018021354e-05, + "loss": 0.9815, + "step": 13624 + }, + { + "epoch": 0.32, + "grad_norm": 1.6994669789626917, + "learning_rate": 1.5878222904675643e-05, + "loss": 0.8702, + "step": 13625 + }, + { + "epoch": 0.32, + "grad_norm": 1.5654340743659623, + "learning_rate": 1.587760559491287e-05, + "loss": 0.9306, + "step": 13626 + }, + { + "epoch": 0.32, + "grad_norm": 1.489435651061182, + "learning_rate": 1.5876988250928812e-05, + "loss": 0.9067, + "step": 13627 + }, + { + "epoch": 0.32, + "grad_norm": 1.714191529854627, + "learning_rate": 1.5876370872727072e-05, + "loss": 0.9146, + "step": 13628 + }, + { + "epoch": 0.32, + "grad_norm": 1.5460931875326405, + "learning_rate": 1.5875753460311245e-05, + "loss": 0.7289, + "step": 13629 + }, + { + "epoch": 0.32, + "grad_norm": 1.876922471153885, + "learning_rate": 1.5875136013684917e-05, + "loss": 0.8181, + "step": 13630 + }, + { + "epoch": 0.32, + "grad_norm": 1.6176707830158996, + "learning_rate": 1.5874518532851688e-05, + "loss": 0.8131, + "step": 13631 + }, + { + "epoch": 0.32, + "grad_norm": 1.8042778924073586, + "learning_rate": 1.5873901017815146e-05, + "loss": 0.9498, + "step": 13632 + }, + { + "epoch": 0.32, + "grad_norm": 1.9251756059552647, + "learning_rate": 1.58732834685789e-05, + "loss": 0.9116, + "step": 13633 + }, + { + "epoch": 0.32, + "grad_norm": 1.479179350528352, + "learning_rate": 1.5872665885146535e-05, + "loss": 0.8496, + "step": 13634 + }, + { + "epoch": 0.32, + "grad_norm": 1.624680373134981, + "learning_rate": 1.587204826752165e-05, + "loss": 0.8217, + "step": 13635 + }, + { + "epoch": 0.32, + "grad_norm": 1.6500670971210563, + "learning_rate": 1.5871430615707843e-05, + "loss": 1.0292, + "step": 13636 + }, + { + "epoch": 0.32, + "grad_norm": 1.5185494888736446, + "learning_rate": 1.5870812929708706e-05, + "loss": 0.8435, + "step": 13637 + }, + { + "epoch": 0.32, + "grad_norm": 1.8183180345474688, + "learning_rate": 1.587019520952784e-05, + "loss": 0.9562, + "step": 13638 + }, + { + "epoch": 0.32, + "grad_norm": 1.929981324019612, + "learning_rate": 1.5869577455168833e-05, + "loss": 0.8602, + "step": 13639 + }, + { + "epoch": 0.32, + "grad_norm": 0.8158995791008815, + "learning_rate": 1.5868959666635297e-05, + "loss": 0.6825, + "step": 13640 + }, + { + "epoch": 0.32, + "grad_norm": 1.5612917908906045, + "learning_rate": 1.5868341843930812e-05, + "loss": 0.9149, + "step": 13641 + }, + { + "epoch": 0.32, + "grad_norm": 1.5677829832279415, + "learning_rate": 1.5867723987058986e-05, + "loss": 0.9781, + "step": 13642 + }, + { + "epoch": 0.32, + "grad_norm": 1.4642056227176752, + "learning_rate": 1.586710609602341e-05, + "loss": 0.9477, + "step": 13643 + }, + { + "epoch": 0.32, + "grad_norm": 1.589081644496577, + "learning_rate": 1.586648817082769e-05, + "loss": 0.9133, + "step": 13644 + }, + { + "epoch": 0.32, + "grad_norm": 0.7644662784144165, + "learning_rate": 1.5865870211475417e-05, + "loss": 0.7564, + "step": 13645 + }, + { + "epoch": 0.32, + "grad_norm": 1.6616290289256113, + "learning_rate": 1.5865252217970187e-05, + "loss": 0.8053, + "step": 13646 + }, + { + "epoch": 0.32, + "grad_norm": 1.5906774066347669, + "learning_rate": 1.5864634190315608e-05, + "loss": 0.8953, + "step": 13647 + }, + { + "epoch": 0.32, + "grad_norm": 1.4682793864554755, + "learning_rate": 1.5864016128515267e-05, + "loss": 0.9081, + "step": 13648 + }, + { + "epoch": 0.32, + "grad_norm": 1.3556019228223382, + "learning_rate": 1.586339803257277e-05, + "loss": 0.9165, + "step": 13649 + }, + { + "epoch": 0.32, + "grad_norm": 2.021494563769265, + "learning_rate": 1.586277990249171e-05, + "loss": 0.8735, + "step": 13650 + }, + { + "epoch": 0.32, + "grad_norm": 1.6713854956615453, + "learning_rate": 1.586216173827569e-05, + "loss": 0.971, + "step": 13651 + }, + { + "epoch": 0.32, + "grad_norm": 2.0402729404018354, + "learning_rate": 1.5861543539928313e-05, + "loss": 0.8554, + "step": 13652 + }, + { + "epoch": 0.32, + "grad_norm": 1.6016079298705395, + "learning_rate": 1.586092530745317e-05, + "loss": 0.9228, + "step": 13653 + }, + { + "epoch": 0.32, + "grad_norm": 1.620653602763669, + "learning_rate": 1.5860307040853867e-05, + "loss": 0.859, + "step": 13654 + }, + { + "epoch": 0.32, + "grad_norm": 1.5562719260843747, + "learning_rate": 1.5859688740133998e-05, + "loss": 0.9814, + "step": 13655 + }, + { + "epoch": 0.32, + "grad_norm": 1.715242620323764, + "learning_rate": 1.5859070405297168e-05, + "loss": 1.0096, + "step": 13656 + }, + { + "epoch": 0.32, + "grad_norm": 0.8053804726795781, + "learning_rate": 1.5858452036346973e-05, + "loss": 0.7163, + "step": 13657 + }, + { + "epoch": 0.32, + "grad_norm": 1.8114439511790155, + "learning_rate": 1.5857833633287015e-05, + "loss": 1.0732, + "step": 13658 + }, + { + "epoch": 0.32, + "grad_norm": 1.653365302146199, + "learning_rate": 1.58572151961209e-05, + "loss": 0.7811, + "step": 13659 + }, + { + "epoch": 0.32, + "grad_norm": 2.239580673122166, + "learning_rate": 1.585659672485222e-05, + "loss": 0.871, + "step": 13660 + }, + { + "epoch": 0.32, + "grad_norm": 1.5759943639785148, + "learning_rate": 1.5855978219484582e-05, + "loss": 1.02, + "step": 13661 + }, + { + "epoch": 0.32, + "grad_norm": 1.688580370088432, + "learning_rate": 1.5855359680021583e-05, + "loss": 0.8989, + "step": 13662 + }, + { + "epoch": 0.32, + "grad_norm": 1.59525890328904, + "learning_rate": 1.5854741106466825e-05, + "loss": 0.9535, + "step": 13663 + }, + { + "epoch": 0.32, + "grad_norm": 1.5964528955516557, + "learning_rate": 1.585412249882391e-05, + "loss": 0.9441, + "step": 13664 + }, + { + "epoch": 0.32, + "grad_norm": 1.4618305446502449, + "learning_rate": 1.5853503857096446e-05, + "loss": 0.9672, + "step": 13665 + }, + { + "epoch": 0.32, + "grad_norm": 1.9867126977895289, + "learning_rate": 1.5852885181288023e-05, + "loss": 0.9054, + "step": 13666 + }, + { + "epoch": 0.32, + "grad_norm": 1.5550421852776486, + "learning_rate": 1.5852266471402256e-05, + "loss": 0.9395, + "step": 13667 + }, + { + "epoch": 0.32, + "grad_norm": 1.775619814720764, + "learning_rate": 1.5851647727442735e-05, + "loss": 0.9127, + "step": 13668 + }, + { + "epoch": 0.32, + "grad_norm": 1.7967153611257416, + "learning_rate": 1.585102894941307e-05, + "loss": 0.8676, + "step": 13669 + }, + { + "epoch": 0.32, + "grad_norm": 1.7301977176562664, + "learning_rate": 1.5850410137316865e-05, + "loss": 0.7583, + "step": 13670 + }, + { + "epoch": 0.32, + "grad_norm": 1.7993096832055329, + "learning_rate": 1.5849791291157717e-05, + "loss": 0.9197, + "step": 13671 + }, + { + "epoch": 0.32, + "grad_norm": 1.6866875473327685, + "learning_rate": 1.584917241093923e-05, + "loss": 0.7781, + "step": 13672 + }, + { + "epoch": 0.32, + "grad_norm": 1.6749309546762319, + "learning_rate": 1.5848553496665013e-05, + "loss": 0.9441, + "step": 13673 + }, + { + "epoch": 0.32, + "grad_norm": 2.135114762762634, + "learning_rate": 1.5847934548338665e-05, + "loss": 0.9143, + "step": 13674 + }, + { + "epoch": 0.32, + "grad_norm": 1.6684911409457683, + "learning_rate": 1.584731556596379e-05, + "loss": 0.9901, + "step": 13675 + }, + { + "epoch": 0.32, + "grad_norm": 0.736403887439804, + "learning_rate": 1.5846696549543993e-05, + "loss": 0.7191, + "step": 13676 + }, + { + "epoch": 0.32, + "grad_norm": 1.89514169960206, + "learning_rate": 1.5846077499082883e-05, + "loss": 0.923, + "step": 13677 + }, + { + "epoch": 0.32, + "grad_norm": 1.5432663212989195, + "learning_rate": 1.5845458414584048e-05, + "loss": 0.9392, + "step": 13678 + }, + { + "epoch": 0.32, + "grad_norm": 1.5251064074866965, + "learning_rate": 1.5844839296051115e-05, + "loss": 0.9979, + "step": 13679 + }, + { + "epoch": 0.32, + "grad_norm": 1.7317743721071486, + "learning_rate": 1.5844220143487667e-05, + "loss": 0.9003, + "step": 13680 + }, + { + "epoch": 0.32, + "grad_norm": 3.163901977473921, + "learning_rate": 1.5843600956897324e-05, + "loss": 0.9159, + "step": 13681 + }, + { + "epoch": 0.32, + "grad_norm": 1.7786349094759617, + "learning_rate": 1.5842981736283686e-05, + "loss": 0.7833, + "step": 13682 + }, + { + "epoch": 0.32, + "grad_norm": 1.6561408018156158, + "learning_rate": 1.5842362481650356e-05, + "loss": 0.8956, + "step": 13683 + }, + { + "epoch": 0.32, + "grad_norm": 1.6167225310728175, + "learning_rate": 1.5841743193000945e-05, + "loss": 0.8478, + "step": 13684 + }, + { + "epoch": 0.32, + "grad_norm": 1.6639307353230064, + "learning_rate": 1.5841123870339055e-05, + "loss": 1.0032, + "step": 13685 + }, + { + "epoch": 0.32, + "grad_norm": 1.7272137592003907, + "learning_rate": 1.5840504513668294e-05, + "loss": 0.8744, + "step": 13686 + }, + { + "epoch": 0.32, + "grad_norm": 1.74609048189227, + "learning_rate": 1.5839885122992263e-05, + "loss": 0.9286, + "step": 13687 + }, + { + "epoch": 0.32, + "grad_norm": 1.6502102423173246, + "learning_rate": 1.5839265698314575e-05, + "loss": 0.8235, + "step": 13688 + }, + { + "epoch": 0.32, + "grad_norm": 1.4670357262859957, + "learning_rate": 1.583864623963883e-05, + "loss": 0.8135, + "step": 13689 + }, + { + "epoch": 0.32, + "grad_norm": 1.4577082096712564, + "learning_rate": 1.5838026746968643e-05, + "loss": 0.7764, + "step": 13690 + }, + { + "epoch": 0.32, + "grad_norm": 1.6021260689762653, + "learning_rate": 1.5837407220307612e-05, + "loss": 0.8935, + "step": 13691 + }, + { + "epoch": 0.32, + "grad_norm": 1.4530780744842997, + "learning_rate": 1.583678765965935e-05, + "loss": 1.0052, + "step": 13692 + }, + { + "epoch": 0.32, + "grad_norm": 1.676965995042231, + "learning_rate": 1.5836168065027463e-05, + "loss": 0.9303, + "step": 13693 + }, + { + "epoch": 0.32, + "grad_norm": 1.759784154818888, + "learning_rate": 1.5835548436415558e-05, + "loss": 0.9983, + "step": 13694 + }, + { + "epoch": 0.32, + "grad_norm": 1.7179651503093698, + "learning_rate": 1.583492877382724e-05, + "loss": 0.8644, + "step": 13695 + }, + { + "epoch": 0.32, + "grad_norm": 1.5857734150827005, + "learning_rate": 1.583430907726612e-05, + "loss": 0.9513, + "step": 13696 + }, + { + "epoch": 0.32, + "grad_norm": 1.65037579494506, + "learning_rate": 1.5833689346735807e-05, + "loss": 0.9494, + "step": 13697 + }, + { + "epoch": 0.32, + "grad_norm": 1.5714084636259884, + "learning_rate": 1.5833069582239905e-05, + "loss": 0.9561, + "step": 13698 + }, + { + "epoch": 0.32, + "grad_norm": 1.8721457401454056, + "learning_rate": 1.5832449783782027e-05, + "loss": 0.8736, + "step": 13699 + }, + { + "epoch": 0.32, + "grad_norm": 1.8107732757910873, + "learning_rate": 1.583182995136578e-05, + "loss": 0.8456, + "step": 13700 + }, + { + "epoch": 0.32, + "grad_norm": 1.8814542265530578, + "learning_rate": 1.5831210084994775e-05, + "loss": 0.8305, + "step": 13701 + }, + { + "epoch": 0.32, + "grad_norm": 2.5931623110777298, + "learning_rate": 1.5830590184672613e-05, + "loss": 1.0316, + "step": 13702 + }, + { + "epoch": 0.32, + "grad_norm": 1.5513159621794326, + "learning_rate": 1.5829970250402916e-05, + "loss": 0.8353, + "step": 13703 + }, + { + "epoch": 0.32, + "grad_norm": 1.7390997211131516, + "learning_rate": 1.5829350282189278e-05, + "loss": 0.91, + "step": 13704 + }, + { + "epoch": 0.32, + "grad_norm": 1.4990698899999249, + "learning_rate": 1.582873028003532e-05, + "loss": 1.0827, + "step": 13705 + }, + { + "epoch": 0.32, + "grad_norm": 1.6265555227911406, + "learning_rate": 1.582811024394465e-05, + "loss": 0.8978, + "step": 13706 + }, + { + "epoch": 0.32, + "grad_norm": 1.707814406373472, + "learning_rate": 1.5827490173920882e-05, + "loss": 0.956, + "step": 13707 + }, + { + "epoch": 0.32, + "grad_norm": 1.9276516613636447, + "learning_rate": 1.5826870069967615e-05, + "loss": 0.9179, + "step": 13708 + }, + { + "epoch": 0.32, + "grad_norm": 1.5920538769410009, + "learning_rate": 1.5826249932088467e-05, + "loss": 0.9534, + "step": 13709 + }, + { + "epoch": 0.32, + "grad_norm": 1.678824524697494, + "learning_rate": 1.5825629760287052e-05, + "loss": 0.8758, + "step": 13710 + }, + { + "epoch": 0.32, + "grad_norm": 2.0655190289284344, + "learning_rate": 1.582500955456697e-05, + "loss": 0.7919, + "step": 13711 + }, + { + "epoch": 0.32, + "grad_norm": 1.6513947214087612, + "learning_rate": 1.582438931493184e-05, + "loss": 0.9023, + "step": 13712 + }, + { + "epoch": 0.32, + "grad_norm": 1.3212850959657323, + "learning_rate": 1.5823769041385272e-05, + "loss": 0.8638, + "step": 13713 + }, + { + "epoch": 0.32, + "grad_norm": 1.5444251802007547, + "learning_rate": 1.5823148733930876e-05, + "loss": 0.8127, + "step": 13714 + }, + { + "epoch": 0.32, + "grad_norm": 1.6627050309441638, + "learning_rate": 1.5822528392572266e-05, + "loss": 0.8858, + "step": 13715 + }, + { + "epoch": 0.32, + "grad_norm": 1.7870133240122303, + "learning_rate": 1.5821908017313052e-05, + "loss": 0.791, + "step": 13716 + }, + { + "epoch": 0.32, + "grad_norm": 1.9971463191589645, + "learning_rate": 1.5821287608156847e-05, + "loss": 0.9186, + "step": 13717 + }, + { + "epoch": 0.32, + "grad_norm": 1.863307796713767, + "learning_rate": 1.582066716510726e-05, + "loss": 0.8087, + "step": 13718 + }, + { + "epoch": 0.32, + "grad_norm": 1.7991836179883403, + "learning_rate": 1.582004668816791e-05, + "loss": 0.9111, + "step": 13719 + }, + { + "epoch": 0.32, + "grad_norm": 0.7371013574146492, + "learning_rate": 1.58194261773424e-05, + "loss": 0.7246, + "step": 13720 + }, + { + "epoch": 0.32, + "grad_norm": 0.8216872716977124, + "learning_rate": 1.581880563263435e-05, + "loss": 0.7482, + "step": 13721 + }, + { + "epoch": 0.32, + "grad_norm": 1.68392327705266, + "learning_rate": 1.5818185054047376e-05, + "loss": 0.9726, + "step": 13722 + }, + { + "epoch": 0.32, + "grad_norm": 0.7973031189319546, + "learning_rate": 1.5817564441585083e-05, + "loss": 0.8076, + "step": 13723 + }, + { + "epoch": 0.32, + "grad_norm": 1.7081958406446742, + "learning_rate": 1.581694379525109e-05, + "loss": 0.8669, + "step": 13724 + }, + { + "epoch": 0.32, + "grad_norm": 1.5917483540867332, + "learning_rate": 1.5816323115049005e-05, + "loss": 0.7894, + "step": 13725 + }, + { + "epoch": 0.32, + "grad_norm": 1.4822133033807896, + "learning_rate": 1.5815702400982447e-05, + "loss": 0.8631, + "step": 13726 + }, + { + "epoch": 0.32, + "grad_norm": 1.7788647125930113, + "learning_rate": 1.5815081653055028e-05, + "loss": 0.89, + "step": 13727 + }, + { + "epoch": 0.32, + "grad_norm": 1.6447218896449296, + "learning_rate": 1.5814460871270364e-05, + "loss": 0.8767, + "step": 13728 + }, + { + "epoch": 0.32, + "grad_norm": 1.5695795670584307, + "learning_rate": 1.5813840055632067e-05, + "loss": 0.8477, + "step": 13729 + }, + { + "epoch": 0.32, + "grad_norm": 1.7875015814332265, + "learning_rate": 1.5813219206143755e-05, + "loss": 0.8644, + "step": 13730 + }, + { + "epoch": 0.32, + "grad_norm": 1.886663572260288, + "learning_rate": 1.5812598322809036e-05, + "loss": 0.9192, + "step": 13731 + }, + { + "epoch": 0.32, + "grad_norm": 1.653261701735098, + "learning_rate": 1.581197740563153e-05, + "loss": 0.8352, + "step": 13732 + }, + { + "epoch": 0.32, + "grad_norm": 1.5892036468569941, + "learning_rate": 1.5811356454614853e-05, + "loss": 0.93, + "step": 13733 + }, + { + "epoch": 0.32, + "grad_norm": 0.8152430242014004, + "learning_rate": 1.5810735469762623e-05, + "loss": 0.7606, + "step": 13734 + }, + { + "epoch": 0.32, + "grad_norm": 1.759532098022246, + "learning_rate": 1.5810114451078446e-05, + "loss": 0.9051, + "step": 13735 + }, + { + "epoch": 0.32, + "grad_norm": 0.7687905088123259, + "learning_rate": 1.5809493398565945e-05, + "loss": 0.7961, + "step": 13736 + }, + { + "epoch": 0.32, + "grad_norm": 0.803665535004781, + "learning_rate": 1.5808872312228735e-05, + "loss": 0.7668, + "step": 13737 + }, + { + "epoch": 0.32, + "grad_norm": 2.15964350787866, + "learning_rate": 1.5808251192070428e-05, + "loss": 0.9778, + "step": 13738 + }, + { + "epoch": 0.32, + "grad_norm": 1.5904481183044263, + "learning_rate": 1.5807630038094646e-05, + "loss": 0.8408, + "step": 13739 + }, + { + "epoch": 0.32, + "grad_norm": 1.8474016208339599, + "learning_rate": 1.5807008850305003e-05, + "loss": 0.9183, + "step": 13740 + }, + { + "epoch": 0.32, + "grad_norm": 1.8122993295015106, + "learning_rate": 1.580638762870512e-05, + "loss": 0.8772, + "step": 13741 + }, + { + "epoch": 0.32, + "grad_norm": 0.7849178418006518, + "learning_rate": 1.5805766373298605e-05, + "loss": 0.6883, + "step": 13742 + }, + { + "epoch": 0.32, + "grad_norm": 1.3932918882716518, + "learning_rate": 1.580514508408908e-05, + "loss": 0.8964, + "step": 13743 + }, + { + "epoch": 0.32, + "grad_norm": 1.9976466670757995, + "learning_rate": 1.580452376108016e-05, + "loss": 0.8966, + "step": 13744 + }, + { + "epoch": 0.32, + "grad_norm": 1.6081958322972658, + "learning_rate": 1.580390240427547e-05, + "loss": 0.9046, + "step": 13745 + }, + { + "epoch": 0.32, + "grad_norm": 1.6997729432059583, + "learning_rate": 1.5803281013678623e-05, + "loss": 1.1025, + "step": 13746 + }, + { + "epoch": 0.32, + "grad_norm": 1.6510860785728876, + "learning_rate": 1.5802659589293234e-05, + "loss": 0.8534, + "step": 13747 + }, + { + "epoch": 0.32, + "grad_norm": 1.5808528337750982, + "learning_rate": 1.5802038131122926e-05, + "loss": 0.8605, + "step": 13748 + }, + { + "epoch": 0.32, + "grad_norm": 2.080238757932534, + "learning_rate": 1.5801416639171314e-05, + "loss": 0.8701, + "step": 13749 + }, + { + "epoch": 0.32, + "grad_norm": 1.714639652399211, + "learning_rate": 1.5800795113442017e-05, + "loss": 0.8653, + "step": 13750 + }, + { + "epoch": 0.32, + "grad_norm": 1.9165947887107944, + "learning_rate": 1.5800173553938654e-05, + "loss": 0.8684, + "step": 13751 + }, + { + "epoch": 0.32, + "grad_norm": 2.096959174179512, + "learning_rate": 1.5799551960664846e-05, + "loss": 0.8245, + "step": 13752 + }, + { + "epoch": 0.32, + "grad_norm": 1.6938852836824616, + "learning_rate": 1.579893033362421e-05, + "loss": 0.8197, + "step": 13753 + }, + { + "epoch": 0.32, + "grad_norm": 1.7457134906984302, + "learning_rate": 1.5798308672820363e-05, + "loss": 0.8741, + "step": 13754 + }, + { + "epoch": 0.32, + "grad_norm": 1.5838520802000633, + "learning_rate": 1.579768697825693e-05, + "loss": 0.8034, + "step": 13755 + }, + { + "epoch": 0.32, + "grad_norm": 0.8117958026295901, + "learning_rate": 1.5797065249937528e-05, + "loss": 0.7935, + "step": 13756 + }, + { + "epoch": 0.32, + "grad_norm": 1.7765546333496396, + "learning_rate": 1.5796443487865774e-05, + "loss": 0.9839, + "step": 13757 + }, + { + "epoch": 0.32, + "grad_norm": 1.4985245014885824, + "learning_rate": 1.5795821692045294e-05, + "loss": 0.9088, + "step": 13758 + }, + { + "epoch": 0.32, + "grad_norm": 1.5834589813459452, + "learning_rate": 1.5795199862479706e-05, + "loss": 0.9078, + "step": 13759 + }, + { + "epoch": 0.32, + "grad_norm": 1.536900115961813, + "learning_rate": 1.5794577999172628e-05, + "loss": 0.9022, + "step": 13760 + }, + { + "epoch": 0.32, + "grad_norm": 1.539372214604095, + "learning_rate": 1.5793956102127682e-05, + "loss": 0.9025, + "step": 13761 + }, + { + "epoch": 0.32, + "grad_norm": 1.9697056232799481, + "learning_rate": 1.579333417134849e-05, + "loss": 1.0324, + "step": 13762 + }, + { + "epoch": 0.32, + "grad_norm": 1.782210180504509, + "learning_rate": 1.579271220683867e-05, + "loss": 0.8995, + "step": 13763 + }, + { + "epoch": 0.32, + "grad_norm": 1.8224680177821702, + "learning_rate": 1.5792090208601847e-05, + "loss": 0.8436, + "step": 13764 + }, + { + "epoch": 0.32, + "grad_norm": 1.4982728756957524, + "learning_rate": 1.5791468176641642e-05, + "loss": 1.0597, + "step": 13765 + }, + { + "epoch": 0.32, + "grad_norm": 1.411481054690309, + "learning_rate": 1.5790846110961676e-05, + "loss": 0.9116, + "step": 13766 + }, + { + "epoch": 0.32, + "grad_norm": 1.5281619030998215, + "learning_rate": 1.5790224011565566e-05, + "loss": 0.841, + "step": 13767 + }, + { + "epoch": 0.32, + "grad_norm": 1.8122070219326991, + "learning_rate": 1.5789601878456946e-05, + "loss": 0.8291, + "step": 13768 + }, + { + "epoch": 0.32, + "grad_norm": 1.4961403142369083, + "learning_rate": 1.5788979711639427e-05, + "loss": 0.8368, + "step": 13769 + }, + { + "epoch": 0.32, + "grad_norm": 1.5920617115832398, + "learning_rate": 1.5788357511116633e-05, + "loss": 0.9137, + "step": 13770 + }, + { + "epoch": 0.32, + "grad_norm": 1.4561849909349878, + "learning_rate": 1.5787735276892194e-05, + "loss": 0.8653, + "step": 13771 + }, + { + "epoch": 0.32, + "grad_norm": 1.597809252678881, + "learning_rate": 1.5787113008969725e-05, + "loss": 0.8947, + "step": 13772 + }, + { + "epoch": 0.32, + "grad_norm": 1.7526251226646956, + "learning_rate": 1.5786490707352852e-05, + "loss": 0.9326, + "step": 13773 + }, + { + "epoch": 0.32, + "grad_norm": 1.4932024922658595, + "learning_rate": 1.57858683720452e-05, + "loss": 0.8796, + "step": 13774 + }, + { + "epoch": 0.32, + "grad_norm": 1.8676379211957883, + "learning_rate": 1.578524600305039e-05, + "loss": 0.9207, + "step": 13775 + }, + { + "epoch": 0.32, + "grad_norm": 1.5380727609947982, + "learning_rate": 1.578462360037204e-05, + "loss": 0.9329, + "step": 13776 + }, + { + "epoch": 0.32, + "grad_norm": 1.7612149007643005, + "learning_rate": 1.5784001164013788e-05, + "loss": 0.9245, + "step": 13777 + }, + { + "epoch": 0.32, + "grad_norm": 2.078356703836752, + "learning_rate": 1.578337869397925e-05, + "loss": 0.8974, + "step": 13778 + }, + { + "epoch": 0.32, + "grad_norm": 1.5099126747576117, + "learning_rate": 1.5782756190272047e-05, + "loss": 0.8827, + "step": 13779 + }, + { + "epoch": 0.32, + "grad_norm": 1.877312127230408, + "learning_rate": 1.5782133652895804e-05, + "loss": 0.8405, + "step": 13780 + }, + { + "epoch": 0.32, + "grad_norm": 1.898942716878687, + "learning_rate": 1.5781511081854152e-05, + "loss": 0.858, + "step": 13781 + }, + { + "epoch": 0.32, + "grad_norm": 1.923665248700819, + "learning_rate": 1.5780888477150712e-05, + "loss": 0.8838, + "step": 13782 + }, + { + "epoch": 0.32, + "grad_norm": 2.1253240614395645, + "learning_rate": 1.5780265838789107e-05, + "loss": 0.865, + "step": 13783 + }, + { + "epoch": 0.32, + "grad_norm": 1.5835528713116886, + "learning_rate": 1.5779643166772966e-05, + "loss": 0.7728, + "step": 13784 + }, + { + "epoch": 0.32, + "grad_norm": 1.9455618021754506, + "learning_rate": 1.5779020461105913e-05, + "loss": 0.9207, + "step": 13785 + }, + { + "epoch": 0.32, + "grad_norm": 1.9101146189777771, + "learning_rate": 1.5778397721791574e-05, + "loss": 0.8266, + "step": 13786 + }, + { + "epoch": 0.32, + "grad_norm": 2.626431511688116, + "learning_rate": 1.5777774948833574e-05, + "loss": 1.0059, + "step": 13787 + }, + { + "epoch": 0.32, + "grad_norm": 1.7282360456613208, + "learning_rate": 1.5777152142235535e-05, + "loss": 0.9341, + "step": 13788 + }, + { + "epoch": 0.32, + "grad_norm": 1.6612550767148204, + "learning_rate": 1.5776529302001093e-05, + "loss": 0.7983, + "step": 13789 + }, + { + "epoch": 0.32, + "grad_norm": 1.6962884726129395, + "learning_rate": 1.5775906428133866e-05, + "loss": 0.9772, + "step": 13790 + }, + { + "epoch": 0.32, + "grad_norm": 1.603403106522325, + "learning_rate": 1.5775283520637483e-05, + "loss": 0.932, + "step": 13791 + }, + { + "epoch": 0.32, + "grad_norm": 1.4833923962685407, + "learning_rate": 1.577466057951557e-05, + "loss": 0.8548, + "step": 13792 + }, + { + "epoch": 0.32, + "grad_norm": 1.9328116209915043, + "learning_rate": 1.5774037604771756e-05, + "loss": 0.88, + "step": 13793 + }, + { + "epoch": 0.32, + "grad_norm": 1.6426913683090665, + "learning_rate": 1.5773414596409666e-05, + "loss": 0.9129, + "step": 13794 + }, + { + "epoch": 0.32, + "grad_norm": 2.0974083224542013, + "learning_rate": 1.577279155443293e-05, + "loss": 0.9811, + "step": 13795 + }, + { + "epoch": 0.33, + "grad_norm": 1.8000254457654188, + "learning_rate": 1.5772168478845174e-05, + "loss": 0.8332, + "step": 13796 + }, + { + "epoch": 0.33, + "grad_norm": 0.8276839042043822, + "learning_rate": 1.5771545369650026e-05, + "loss": 0.7064, + "step": 13797 + }, + { + "epoch": 0.33, + "grad_norm": 1.6711173076195813, + "learning_rate": 1.577092222685111e-05, + "loss": 1.0022, + "step": 13798 + }, + { + "epoch": 0.33, + "grad_norm": 1.710462010457876, + "learning_rate": 1.577029905045206e-05, + "loss": 0.8364, + "step": 13799 + }, + { + "epoch": 0.33, + "grad_norm": 1.8537639752326012, + "learning_rate": 1.5769675840456503e-05, + "loss": 0.882, + "step": 13800 + }, + { + "epoch": 0.33, + "grad_norm": 1.70892756258674, + "learning_rate": 1.5769052596868065e-05, + "loss": 0.933, + "step": 13801 + }, + { + "epoch": 0.33, + "grad_norm": 1.691756937802293, + "learning_rate": 1.5768429319690376e-05, + "loss": 0.9076, + "step": 13802 + }, + { + "epoch": 0.33, + "grad_norm": 1.7983331496649866, + "learning_rate": 1.5767806008927068e-05, + "loss": 0.8757, + "step": 13803 + }, + { + "epoch": 0.33, + "grad_norm": 2.338054897559529, + "learning_rate": 1.5767182664581767e-05, + "loss": 0.8864, + "step": 13804 + }, + { + "epoch": 0.33, + "grad_norm": 1.7569751329514371, + "learning_rate": 1.57665592866581e-05, + "loss": 0.9747, + "step": 13805 + }, + { + "epoch": 0.33, + "grad_norm": 0.7702278534303906, + "learning_rate": 1.5765935875159703e-05, + "loss": 0.7725, + "step": 13806 + }, + { + "epoch": 0.33, + "grad_norm": 0.7902222709084095, + "learning_rate": 1.5765312430090197e-05, + "loss": 0.7238, + "step": 13807 + }, + { + "epoch": 0.33, + "grad_norm": 1.634766775629164, + "learning_rate": 1.5764688951453216e-05, + "loss": 0.7996, + "step": 13808 + }, + { + "epoch": 0.33, + "grad_norm": 1.7260280229302956, + "learning_rate": 1.57640654392524e-05, + "loss": 0.8467, + "step": 13809 + }, + { + "epoch": 0.33, + "grad_norm": 1.6318831582666569, + "learning_rate": 1.5763441893491364e-05, + "loss": 0.9246, + "step": 13810 + }, + { + "epoch": 0.33, + "grad_norm": 1.656944794380074, + "learning_rate": 1.5762818314173743e-05, + "loss": 0.8089, + "step": 13811 + }, + { + "epoch": 0.33, + "grad_norm": 3.6142101236139, + "learning_rate": 1.576219470130317e-05, + "loss": 0.9086, + "step": 13812 + }, + { + "epoch": 0.33, + "grad_norm": 1.7610412378971125, + "learning_rate": 1.576157105488328e-05, + "loss": 0.9898, + "step": 13813 + }, + { + "epoch": 0.33, + "grad_norm": 1.726581356254563, + "learning_rate": 1.5760947374917693e-05, + "loss": 0.821, + "step": 13814 + }, + { + "epoch": 0.33, + "grad_norm": 0.7385354323532027, + "learning_rate": 1.576032366141005e-05, + "loss": 0.7076, + "step": 13815 + }, + { + "epoch": 0.33, + "grad_norm": 1.6575333020788325, + "learning_rate": 1.5759699914363977e-05, + "loss": 0.9743, + "step": 13816 + }, + { + "epoch": 0.33, + "grad_norm": 1.7787518455416538, + "learning_rate": 1.575907613378311e-05, + "loss": 0.8189, + "step": 13817 + }, + { + "epoch": 0.33, + "grad_norm": 1.9329140574674823, + "learning_rate": 1.5758452319671075e-05, + "loss": 0.9075, + "step": 13818 + }, + { + "epoch": 0.33, + "grad_norm": 1.6603599083149356, + "learning_rate": 1.5757828472031512e-05, + "loss": 0.9186, + "step": 13819 + }, + { + "epoch": 0.33, + "grad_norm": 1.9268381739268903, + "learning_rate": 1.5757204590868042e-05, + "loss": 0.7789, + "step": 13820 + }, + { + "epoch": 0.33, + "grad_norm": 1.7081529602392531, + "learning_rate": 1.575658067618431e-05, + "loss": 0.8563, + "step": 13821 + }, + { + "epoch": 0.33, + "grad_norm": 1.8631471576695207, + "learning_rate": 1.5755956727983943e-05, + "loss": 0.7825, + "step": 13822 + }, + { + "epoch": 0.33, + "grad_norm": 1.627039406481778, + "learning_rate": 1.5755332746270574e-05, + "loss": 0.9401, + "step": 13823 + }, + { + "epoch": 0.33, + "grad_norm": 1.6232838592509244, + "learning_rate": 1.5754708731047833e-05, + "loss": 0.9173, + "step": 13824 + }, + { + "epoch": 0.33, + "grad_norm": 1.4477208281689609, + "learning_rate": 1.5754084682319356e-05, + "loss": 0.9491, + "step": 13825 + }, + { + "epoch": 0.33, + "grad_norm": 2.4851601996435586, + "learning_rate": 1.5753460600088777e-05, + "loss": 0.9125, + "step": 13826 + }, + { + "epoch": 0.33, + "grad_norm": 1.6637551587619444, + "learning_rate": 1.5752836484359726e-05, + "loss": 0.9555, + "step": 13827 + }, + { + "epoch": 0.33, + "grad_norm": 2.1256018719197045, + "learning_rate": 1.575221233513584e-05, + "loss": 0.9147, + "step": 13828 + }, + { + "epoch": 0.33, + "grad_norm": 1.5803996829522744, + "learning_rate": 1.5751588152420757e-05, + "loss": 0.8698, + "step": 13829 + }, + { + "epoch": 0.33, + "grad_norm": 1.640231945540418, + "learning_rate": 1.5750963936218104e-05, + "loss": 1.0088, + "step": 13830 + }, + { + "epoch": 0.33, + "grad_norm": 1.9444022589151646, + "learning_rate": 1.575033968653152e-05, + "loss": 0.9537, + "step": 13831 + }, + { + "epoch": 0.33, + "grad_norm": 1.7805004959386757, + "learning_rate": 1.5749715403364635e-05, + "loss": 0.8342, + "step": 13832 + }, + { + "epoch": 0.33, + "grad_norm": 1.93142427808232, + "learning_rate": 1.574909108672109e-05, + "loss": 0.8163, + "step": 13833 + }, + { + "epoch": 0.33, + "grad_norm": 1.6057806821593477, + "learning_rate": 1.5748466736604514e-05, + "loss": 0.9055, + "step": 13834 + }, + { + "epoch": 0.33, + "grad_norm": 1.8001142071132914, + "learning_rate": 1.574784235301855e-05, + "loss": 0.9223, + "step": 13835 + }, + { + "epoch": 0.33, + "grad_norm": 0.7558950095361769, + "learning_rate": 1.574721793596682e-05, + "loss": 0.7072, + "step": 13836 + }, + { + "epoch": 0.33, + "grad_norm": 1.9777688987678714, + "learning_rate": 1.5746593485452973e-05, + "loss": 0.7923, + "step": 13837 + }, + { + "epoch": 0.33, + "grad_norm": 1.7878930899121175, + "learning_rate": 1.5745969001480637e-05, + "loss": 0.8088, + "step": 13838 + }, + { + "epoch": 0.33, + "grad_norm": 1.7023294928464074, + "learning_rate": 1.574534448405345e-05, + "loss": 0.779, + "step": 13839 + }, + { + "epoch": 0.33, + "grad_norm": 1.6144640397813752, + "learning_rate": 1.5744719933175053e-05, + "loss": 0.8736, + "step": 13840 + }, + { + "epoch": 0.33, + "grad_norm": 1.5964713760746139, + "learning_rate": 1.5744095348849073e-05, + "loss": 0.7967, + "step": 13841 + }, + { + "epoch": 0.33, + "grad_norm": 1.5852249320480551, + "learning_rate": 1.5743470731079152e-05, + "loss": 0.9387, + "step": 13842 + }, + { + "epoch": 0.33, + "grad_norm": 2.421003739786463, + "learning_rate": 1.5742846079868926e-05, + "loss": 0.7991, + "step": 13843 + }, + { + "epoch": 0.33, + "grad_norm": 1.660364973011331, + "learning_rate": 1.5742221395222033e-05, + "loss": 0.8788, + "step": 13844 + }, + { + "epoch": 0.33, + "grad_norm": 0.8285820867985215, + "learning_rate": 1.574159667714211e-05, + "loss": 0.77, + "step": 13845 + }, + { + "epoch": 0.33, + "grad_norm": 1.6819839607659688, + "learning_rate": 1.574097192563279e-05, + "loss": 0.8812, + "step": 13846 + }, + { + "epoch": 0.33, + "grad_norm": 1.659878117056468, + "learning_rate": 1.574034714069772e-05, + "loss": 0.9926, + "step": 13847 + }, + { + "epoch": 0.33, + "grad_norm": 1.650887429374874, + "learning_rate": 1.5739722322340524e-05, + "loss": 0.8222, + "step": 13848 + }, + { + "epoch": 0.33, + "grad_norm": 1.5485406192321542, + "learning_rate": 1.5739097470564853e-05, + "loss": 1.0459, + "step": 13849 + }, + { + "epoch": 0.33, + "grad_norm": 2.403390604057964, + "learning_rate": 1.5738472585374334e-05, + "loss": 0.9139, + "step": 13850 + }, + { + "epoch": 0.33, + "grad_norm": 1.5315156686869997, + "learning_rate": 1.5737847666772615e-05, + "loss": 0.9785, + "step": 13851 + }, + { + "epoch": 0.33, + "grad_norm": 1.6109494149872983, + "learning_rate": 1.573722271476333e-05, + "loss": 0.9417, + "step": 13852 + }, + { + "epoch": 0.33, + "grad_norm": 1.7171007300165606, + "learning_rate": 1.573659772935012e-05, + "loss": 0.734, + "step": 13853 + }, + { + "epoch": 0.33, + "grad_norm": 1.980885044632398, + "learning_rate": 1.5735972710536623e-05, + "loss": 0.8342, + "step": 13854 + }, + { + "epoch": 0.33, + "grad_norm": 1.6886070062252814, + "learning_rate": 1.5735347658326472e-05, + "loss": 0.809, + "step": 13855 + }, + { + "epoch": 0.33, + "grad_norm": 1.7658116565678001, + "learning_rate": 1.5734722572723313e-05, + "loss": 0.8316, + "step": 13856 + }, + { + "epoch": 0.33, + "grad_norm": 1.831880436082236, + "learning_rate": 1.573409745373078e-05, + "loss": 0.727, + "step": 13857 + }, + { + "epoch": 0.33, + "grad_norm": 1.793675906791444, + "learning_rate": 1.573347230135252e-05, + "loss": 0.9251, + "step": 13858 + }, + { + "epoch": 0.33, + "grad_norm": 1.895648604389666, + "learning_rate": 1.573284711559217e-05, + "loss": 0.8642, + "step": 13859 + }, + { + "epoch": 0.33, + "grad_norm": 1.6282792170589762, + "learning_rate": 1.5732221896453368e-05, + "loss": 0.9382, + "step": 13860 + }, + { + "epoch": 0.33, + "grad_norm": 1.6424143716625441, + "learning_rate": 1.5731596643939755e-05, + "loss": 0.956, + "step": 13861 + }, + { + "epoch": 0.33, + "grad_norm": 1.6725294932376145, + "learning_rate": 1.5730971358054972e-05, + "loss": 0.8593, + "step": 13862 + }, + { + "epoch": 0.33, + "grad_norm": 1.6655635077897337, + "learning_rate": 1.5730346038802657e-05, + "loss": 0.8888, + "step": 13863 + }, + { + "epoch": 0.33, + "grad_norm": 1.538150907574795, + "learning_rate": 1.5729720686186457e-05, + "loss": 0.8999, + "step": 13864 + }, + { + "epoch": 0.33, + "grad_norm": 1.6709397045327103, + "learning_rate": 1.5729095300210006e-05, + "loss": 0.9976, + "step": 13865 + }, + { + "epoch": 0.33, + "grad_norm": 1.5508477092562338, + "learning_rate": 1.572846988087695e-05, + "loss": 1.0278, + "step": 13866 + }, + { + "epoch": 0.33, + "grad_norm": 0.8034248611510252, + "learning_rate": 1.572784442819093e-05, + "loss": 0.7763, + "step": 13867 + }, + { + "epoch": 0.33, + "grad_norm": 1.6829361356959516, + "learning_rate": 1.5727218942155588e-05, + "loss": 0.8752, + "step": 13868 + }, + { + "epoch": 0.33, + "grad_norm": 1.6519284158598184, + "learning_rate": 1.5726593422774558e-05, + "loss": 0.8245, + "step": 13869 + }, + { + "epoch": 0.33, + "grad_norm": 1.9030541131806957, + "learning_rate": 1.572596787005149e-05, + "loss": 1.0415, + "step": 13870 + }, + { + "epoch": 0.33, + "grad_norm": 1.583313786924927, + "learning_rate": 1.5725342283990027e-05, + "loss": 0.803, + "step": 13871 + }, + { + "epoch": 0.33, + "grad_norm": 1.4068311739148736, + "learning_rate": 1.572471666459381e-05, + "loss": 0.9065, + "step": 13872 + }, + { + "epoch": 0.33, + "grad_norm": 0.7960847759166556, + "learning_rate": 1.5724091011866474e-05, + "loss": 0.7898, + "step": 13873 + }, + { + "epoch": 0.33, + "grad_norm": 0.7912961820111625, + "learning_rate": 1.572346532581167e-05, + "loss": 0.7636, + "step": 13874 + }, + { + "epoch": 0.33, + "grad_norm": 3.0174323597576493, + "learning_rate": 1.5722839606433043e-05, + "loss": 0.758, + "step": 13875 + }, + { + "epoch": 0.33, + "grad_norm": 1.5819286034428683, + "learning_rate": 1.5722213853734227e-05, + "loss": 0.8303, + "step": 13876 + }, + { + "epoch": 0.33, + "grad_norm": 1.6365765793680591, + "learning_rate": 1.572158806771887e-05, + "loss": 0.866, + "step": 13877 + }, + { + "epoch": 0.33, + "grad_norm": 1.872320140311925, + "learning_rate": 1.572096224839062e-05, + "loss": 0.8019, + "step": 13878 + }, + { + "epoch": 0.33, + "grad_norm": 1.8266747199599376, + "learning_rate": 1.5720336395753117e-05, + "loss": 0.9963, + "step": 13879 + }, + { + "epoch": 0.33, + "grad_norm": 1.8261223493550136, + "learning_rate": 1.571971050981e-05, + "loss": 0.8618, + "step": 13880 + }, + { + "epoch": 0.33, + "grad_norm": 1.567458764171586, + "learning_rate": 1.571908459056492e-05, + "loss": 0.9302, + "step": 13881 + }, + { + "epoch": 0.33, + "grad_norm": 2.2751550350638454, + "learning_rate": 1.571845863802152e-05, + "loss": 0.8221, + "step": 13882 + }, + { + "epoch": 0.33, + "grad_norm": 1.6164214585051395, + "learning_rate": 1.571783265218344e-05, + "loss": 0.963, + "step": 13883 + }, + { + "epoch": 0.33, + "grad_norm": 1.9004858969457155, + "learning_rate": 1.5717206633054328e-05, + "loss": 0.8746, + "step": 13884 + }, + { + "epoch": 0.33, + "grad_norm": 1.8908398986141257, + "learning_rate": 1.5716580580637833e-05, + "loss": 0.8476, + "step": 13885 + }, + { + "epoch": 0.33, + "grad_norm": 1.8287311060167195, + "learning_rate": 1.5715954494937595e-05, + "loss": 0.8424, + "step": 13886 + }, + { + "epoch": 0.33, + "grad_norm": 1.8124865834457922, + "learning_rate": 1.5715328375957256e-05, + "loss": 0.8702, + "step": 13887 + }, + { + "epoch": 0.33, + "grad_norm": 0.7913964978087757, + "learning_rate": 1.5714702223700472e-05, + "loss": 0.7497, + "step": 13888 + }, + { + "epoch": 0.33, + "grad_norm": 1.732317752602688, + "learning_rate": 1.571407603817088e-05, + "loss": 0.7916, + "step": 13889 + }, + { + "epoch": 0.33, + "grad_norm": 1.5970826178114625, + "learning_rate": 1.571344981937213e-05, + "loss": 0.9633, + "step": 13890 + }, + { + "epoch": 0.33, + "grad_norm": 1.5170062076102884, + "learning_rate": 1.571282356730786e-05, + "loss": 0.91, + "step": 13891 + }, + { + "epoch": 0.33, + "grad_norm": 1.6608872397157415, + "learning_rate": 1.5712197281981727e-05, + "loss": 0.8876, + "step": 13892 + }, + { + "epoch": 0.33, + "grad_norm": 1.5211358741491239, + "learning_rate": 1.5711570963397376e-05, + "loss": 0.9019, + "step": 13893 + }, + { + "epoch": 0.33, + "grad_norm": 3.3864418194683337, + "learning_rate": 1.5710944611558445e-05, + "loss": 0.9175, + "step": 13894 + }, + { + "epoch": 0.33, + "grad_norm": 1.8213380857656845, + "learning_rate": 1.5710318226468587e-05, + "loss": 0.9593, + "step": 13895 + }, + { + "epoch": 0.33, + "grad_norm": 1.760625195828172, + "learning_rate": 1.570969180813145e-05, + "loss": 0.8778, + "step": 13896 + }, + { + "epoch": 0.33, + "grad_norm": 1.8781691774693516, + "learning_rate": 1.570906535655068e-05, + "loss": 0.9195, + "step": 13897 + }, + { + "epoch": 0.33, + "grad_norm": 1.5806811088238881, + "learning_rate": 1.5708438871729925e-05, + "loss": 1.0677, + "step": 13898 + }, + { + "epoch": 0.33, + "grad_norm": 1.7246617399230573, + "learning_rate": 1.570781235367283e-05, + "loss": 0.8077, + "step": 13899 + }, + { + "epoch": 0.33, + "grad_norm": 1.5609918683591628, + "learning_rate": 1.5707185802383045e-05, + "loss": 0.849, + "step": 13900 + }, + { + "epoch": 0.33, + "grad_norm": 1.7693227195307863, + "learning_rate": 1.5706559217864214e-05, + "loss": 1.011, + "step": 13901 + }, + { + "epoch": 0.33, + "grad_norm": 1.8348422430176294, + "learning_rate": 1.5705932600119993e-05, + "loss": 1.0323, + "step": 13902 + }, + { + "epoch": 0.33, + "grad_norm": 0.7675164354484604, + "learning_rate": 1.5705305949154025e-05, + "loss": 0.7562, + "step": 13903 + }, + { + "epoch": 0.33, + "grad_norm": 1.5568039312160644, + "learning_rate": 1.570467926496996e-05, + "loss": 0.8602, + "step": 13904 + }, + { + "epoch": 0.33, + "grad_norm": 1.6806513310243352, + "learning_rate": 1.5704052547571445e-05, + "loss": 0.9396, + "step": 13905 + }, + { + "epoch": 0.33, + "grad_norm": 1.6055497191641286, + "learning_rate": 1.570342579696213e-05, + "loss": 0.8642, + "step": 13906 + }, + { + "epoch": 0.33, + "grad_norm": 0.7830828937604066, + "learning_rate": 1.5702799013145665e-05, + "loss": 0.7158, + "step": 13907 + }, + { + "epoch": 0.33, + "grad_norm": 1.5765262236870692, + "learning_rate": 1.57021721961257e-05, + "loss": 0.7584, + "step": 13908 + }, + { + "epoch": 0.33, + "grad_norm": 1.5533169075399023, + "learning_rate": 1.570154534590588e-05, + "loss": 0.9301, + "step": 13909 + }, + { + "epoch": 0.33, + "grad_norm": 1.7305814321413577, + "learning_rate": 1.570091846248986e-05, + "loss": 0.9703, + "step": 13910 + }, + { + "epoch": 0.33, + "grad_norm": 1.86069810773456, + "learning_rate": 1.570029154588129e-05, + "loss": 0.9451, + "step": 13911 + }, + { + "epoch": 0.33, + "grad_norm": 0.83810739607255, + "learning_rate": 1.5699664596083814e-05, + "loss": 0.7494, + "step": 13912 + }, + { + "epoch": 0.33, + "grad_norm": 1.6761605650006381, + "learning_rate": 1.5699037613101087e-05, + "loss": 0.7491, + "step": 13913 + }, + { + "epoch": 0.33, + "grad_norm": 1.733899907339525, + "learning_rate": 1.569841059693676e-05, + "loss": 1.1002, + "step": 13914 + }, + { + "epoch": 0.33, + "grad_norm": 1.677876067419758, + "learning_rate": 1.5697783547594482e-05, + "loss": 0.8203, + "step": 13915 + }, + { + "epoch": 0.33, + "grad_norm": 2.0587030786978944, + "learning_rate": 1.5697156465077903e-05, + "loss": 0.8321, + "step": 13916 + }, + { + "epoch": 0.33, + "grad_norm": 1.8094525221200333, + "learning_rate": 1.5696529349390676e-05, + "loss": 0.8785, + "step": 13917 + }, + { + "epoch": 0.33, + "grad_norm": 1.6649619847437283, + "learning_rate": 1.569590220053645e-05, + "loss": 0.9335, + "step": 13918 + }, + { + "epoch": 0.33, + "grad_norm": 1.8652994072303575, + "learning_rate": 1.5695275018518885e-05, + "loss": 1.0268, + "step": 13919 + }, + { + "epoch": 0.33, + "grad_norm": 1.9522874506341186, + "learning_rate": 1.5694647803341618e-05, + "loss": 0.7894, + "step": 13920 + }, + { + "epoch": 0.33, + "grad_norm": 1.84504512118992, + "learning_rate": 1.5694020555008314e-05, + "loss": 0.8286, + "step": 13921 + }, + { + "epoch": 0.33, + "grad_norm": 2.127964304510153, + "learning_rate": 1.5693393273522618e-05, + "loss": 0.9219, + "step": 13922 + }, + { + "epoch": 0.33, + "grad_norm": 2.0208535044154634, + "learning_rate": 1.5692765958888182e-05, + "loss": 0.8509, + "step": 13923 + }, + { + "epoch": 0.33, + "grad_norm": 1.5967370683161541, + "learning_rate": 1.569213861110866e-05, + "loss": 0.9364, + "step": 13924 + }, + { + "epoch": 0.33, + "grad_norm": 1.9027523660703727, + "learning_rate": 1.5691511230187706e-05, + "loss": 0.8562, + "step": 13925 + }, + { + "epoch": 0.33, + "grad_norm": 1.7325624776089734, + "learning_rate": 1.5690883816128973e-05, + "loss": 0.9143, + "step": 13926 + }, + { + "epoch": 0.33, + "grad_norm": 2.005659139916472, + "learning_rate": 1.569025636893611e-05, + "loss": 0.9466, + "step": 13927 + }, + { + "epoch": 0.33, + "grad_norm": 1.648415141309247, + "learning_rate": 1.5689628888612774e-05, + "loss": 0.8043, + "step": 13928 + }, + { + "epoch": 0.33, + "grad_norm": 1.7344837691928467, + "learning_rate": 1.568900137516262e-05, + "loss": 0.8189, + "step": 13929 + }, + { + "epoch": 0.33, + "grad_norm": 1.479663837601574, + "learning_rate": 1.5688373828589296e-05, + "loss": 0.899, + "step": 13930 + }, + { + "epoch": 0.33, + "grad_norm": 0.8808037818041132, + "learning_rate": 1.568774624889646e-05, + "loss": 0.7569, + "step": 13931 + }, + { + "epoch": 0.33, + "grad_norm": 1.483762314208912, + "learning_rate": 1.5687118636087764e-05, + "loss": 0.9066, + "step": 13932 + }, + { + "epoch": 0.33, + "grad_norm": 1.3995486201092315, + "learning_rate": 1.5686490990166864e-05, + "loss": 0.8262, + "step": 13933 + }, + { + "epoch": 0.33, + "grad_norm": 1.6799502116873093, + "learning_rate": 1.568586331113741e-05, + "loss": 0.8881, + "step": 13934 + }, + { + "epoch": 0.33, + "grad_norm": 1.8818353055112576, + "learning_rate": 1.5685235599003065e-05, + "loss": 0.8168, + "step": 13935 + }, + { + "epoch": 0.33, + "grad_norm": 1.6792316080071688, + "learning_rate": 1.5684607853767474e-05, + "loss": 0.8941, + "step": 13936 + }, + { + "epoch": 0.33, + "grad_norm": 0.7954834137905938, + "learning_rate": 1.5683980075434297e-05, + "loss": 0.7859, + "step": 13937 + }, + { + "epoch": 0.33, + "grad_norm": 2.2718823667542334, + "learning_rate": 1.5683352264007188e-05, + "loss": 0.9257, + "step": 13938 + }, + { + "epoch": 0.33, + "grad_norm": 1.6638568469652697, + "learning_rate": 1.5682724419489805e-05, + "loss": 0.9637, + "step": 13939 + }, + { + "epoch": 0.33, + "grad_norm": 1.7382889383794298, + "learning_rate": 1.5682096541885797e-05, + "loss": 0.9494, + "step": 13940 + }, + { + "epoch": 0.33, + "grad_norm": 1.9714685429182675, + "learning_rate": 1.568146863119883e-05, + "loss": 0.9669, + "step": 13941 + }, + { + "epoch": 0.33, + "grad_norm": 1.6949035084167348, + "learning_rate": 1.568084068743255e-05, + "loss": 0.8152, + "step": 13942 + }, + { + "epoch": 0.33, + "grad_norm": 1.5763403681216905, + "learning_rate": 1.568021271059062e-05, + "loss": 0.9825, + "step": 13943 + }, + { + "epoch": 0.33, + "grad_norm": 1.900654469922631, + "learning_rate": 1.567958470067669e-05, + "loss": 0.9849, + "step": 13944 + }, + { + "epoch": 0.33, + "grad_norm": 1.6808475050047482, + "learning_rate": 1.567895665769442e-05, + "loss": 0.8924, + "step": 13945 + }, + { + "epoch": 0.33, + "grad_norm": 1.8861466142602088, + "learning_rate": 1.5678328581647467e-05, + "loss": 0.8666, + "step": 13946 + }, + { + "epoch": 0.33, + "grad_norm": 1.497146780779032, + "learning_rate": 1.567770047253949e-05, + "loss": 0.8563, + "step": 13947 + }, + { + "epoch": 0.33, + "grad_norm": 1.598335586898376, + "learning_rate": 1.5677072330374138e-05, + "loss": 0.9686, + "step": 13948 + }, + { + "epoch": 0.33, + "grad_norm": 1.7308965585324942, + "learning_rate": 1.567644415515508e-05, + "loss": 0.8682, + "step": 13949 + }, + { + "epoch": 0.33, + "grad_norm": 1.9056388477626518, + "learning_rate": 1.567581594688596e-05, + "loss": 0.9112, + "step": 13950 + }, + { + "epoch": 0.33, + "grad_norm": 1.7370827333497127, + "learning_rate": 1.567518770557045e-05, + "loss": 0.9493, + "step": 13951 + }, + { + "epoch": 0.33, + "grad_norm": 1.960666028476967, + "learning_rate": 1.5674559431212193e-05, + "loss": 0.8762, + "step": 13952 + }, + { + "epoch": 0.33, + "grad_norm": 2.0144462828709986, + "learning_rate": 1.5673931123814862e-05, + "loss": 0.941, + "step": 13953 + }, + { + "epoch": 0.33, + "grad_norm": 1.6907549948609408, + "learning_rate": 1.5673302783382104e-05, + "loss": 1.0299, + "step": 13954 + }, + { + "epoch": 0.33, + "grad_norm": 1.6846817049570253, + "learning_rate": 1.5672674409917575e-05, + "loss": 0.8414, + "step": 13955 + }, + { + "epoch": 0.33, + "grad_norm": 1.6555164685341948, + "learning_rate": 1.5672046003424948e-05, + "loss": 0.8388, + "step": 13956 + }, + { + "epoch": 0.33, + "grad_norm": 2.7231331975480275, + "learning_rate": 1.5671417563907872e-05, + "loss": 0.9519, + "step": 13957 + }, + { + "epoch": 0.33, + "grad_norm": 1.6545386959587094, + "learning_rate": 1.5670789091370005e-05, + "loss": 0.9035, + "step": 13958 + }, + { + "epoch": 0.33, + "grad_norm": 1.6441551028421626, + "learning_rate": 1.567016058581501e-05, + "loss": 0.913, + "step": 13959 + }, + { + "epoch": 0.33, + "grad_norm": 1.6042678503347676, + "learning_rate": 1.5669532047246546e-05, + "loss": 0.9392, + "step": 13960 + }, + { + "epoch": 0.33, + "grad_norm": 1.8409350238038555, + "learning_rate": 1.566890347566827e-05, + "loss": 1.0627, + "step": 13961 + }, + { + "epoch": 0.33, + "grad_norm": 1.63026226794191, + "learning_rate": 1.5668274871083844e-05, + "loss": 0.8536, + "step": 13962 + }, + { + "epoch": 0.33, + "grad_norm": 2.1359101496733444, + "learning_rate": 1.5667646233496925e-05, + "loss": 0.9681, + "step": 13963 + }, + { + "epoch": 0.33, + "grad_norm": 1.5568426059421079, + "learning_rate": 1.566701756291118e-05, + "loss": 0.9823, + "step": 13964 + }, + { + "epoch": 0.33, + "grad_norm": 1.5211248078540585, + "learning_rate": 1.566638885933026e-05, + "loss": 0.8872, + "step": 13965 + }, + { + "epoch": 0.33, + "grad_norm": 1.4862796644001823, + "learning_rate": 1.566576012275783e-05, + "loss": 0.9251, + "step": 13966 + }, + { + "epoch": 0.33, + "grad_norm": 1.5767713511345094, + "learning_rate": 1.5665131353197555e-05, + "loss": 0.9234, + "step": 13967 + }, + { + "epoch": 0.33, + "grad_norm": 1.6193603097974623, + "learning_rate": 1.5664502550653088e-05, + "loss": 0.822, + "step": 13968 + }, + { + "epoch": 0.33, + "grad_norm": 1.4665287322504033, + "learning_rate": 1.566387371512809e-05, + "loss": 0.7934, + "step": 13969 + }, + { + "epoch": 0.33, + "grad_norm": 1.571414745461934, + "learning_rate": 1.566324484662624e-05, + "loss": 0.9914, + "step": 13970 + }, + { + "epoch": 0.33, + "grad_norm": 1.81421222467984, + "learning_rate": 1.5662615945151173e-05, + "loss": 0.9933, + "step": 13971 + }, + { + "epoch": 0.33, + "grad_norm": 1.7697584657192622, + "learning_rate": 1.566198701070657e-05, + "loss": 0.9413, + "step": 13972 + }, + { + "epoch": 0.33, + "grad_norm": 1.680008979046094, + "learning_rate": 1.566135804329608e-05, + "loss": 0.8992, + "step": 13973 + }, + { + "epoch": 0.33, + "grad_norm": 1.9836459060494311, + "learning_rate": 1.5660729042923374e-05, + "loss": 0.881, + "step": 13974 + }, + { + "epoch": 0.33, + "grad_norm": 1.641824602395643, + "learning_rate": 1.566010000959211e-05, + "loss": 0.855, + "step": 13975 + }, + { + "epoch": 0.33, + "grad_norm": 3.4529801486147114, + "learning_rate": 1.5659470943305956e-05, + "loss": 1.0221, + "step": 13976 + }, + { + "epoch": 0.33, + "grad_norm": 1.922955332688156, + "learning_rate": 1.5658841844068568e-05, + "loss": 0.9574, + "step": 13977 + }, + { + "epoch": 0.33, + "grad_norm": 1.6353507089809116, + "learning_rate": 1.565821271188361e-05, + "loss": 1.0467, + "step": 13978 + }, + { + "epoch": 0.33, + "grad_norm": 1.6086446383873105, + "learning_rate": 1.5657583546754744e-05, + "loss": 1.0691, + "step": 13979 + }, + { + "epoch": 0.33, + "grad_norm": 2.0376731585671344, + "learning_rate": 1.565695434868564e-05, + "loss": 0.9664, + "step": 13980 + }, + { + "epoch": 0.33, + "grad_norm": 1.7341065611023794, + "learning_rate": 1.5656325117679957e-05, + "loss": 0.9978, + "step": 13981 + }, + { + "epoch": 0.33, + "grad_norm": 1.5897098216921213, + "learning_rate": 1.5655695853741353e-05, + "loss": 0.8368, + "step": 13982 + }, + { + "epoch": 0.33, + "grad_norm": 1.6380505355182442, + "learning_rate": 1.5655066556873502e-05, + "loss": 1.0256, + "step": 13983 + }, + { + "epoch": 0.33, + "grad_norm": 2.028540325474674, + "learning_rate": 1.565443722708006e-05, + "loss": 0.8047, + "step": 13984 + }, + { + "epoch": 0.33, + "grad_norm": 1.6770460914453114, + "learning_rate": 1.5653807864364696e-05, + "loss": 0.843, + "step": 13985 + }, + { + "epoch": 0.33, + "grad_norm": 2.8021090946763687, + "learning_rate": 1.5653178468731076e-05, + "loss": 0.8778, + "step": 13986 + }, + { + "epoch": 0.33, + "grad_norm": 1.3760253209852165, + "learning_rate": 1.5652549040182857e-05, + "loss": 0.9465, + "step": 13987 + }, + { + "epoch": 0.33, + "grad_norm": 1.5926256046519858, + "learning_rate": 1.5651919578723708e-05, + "loss": 0.8409, + "step": 13988 + }, + { + "epoch": 0.33, + "grad_norm": 1.7941725257315615, + "learning_rate": 1.5651290084357295e-05, + "loss": 0.9885, + "step": 13989 + }, + { + "epoch": 0.33, + "grad_norm": 1.5768787264688633, + "learning_rate": 1.5650660557087284e-05, + "loss": 0.883, + "step": 13990 + }, + { + "epoch": 0.33, + "grad_norm": 1.9994406505561115, + "learning_rate": 1.5650030996917334e-05, + "loss": 1.0232, + "step": 13991 + }, + { + "epoch": 0.33, + "grad_norm": 1.6188010655199747, + "learning_rate": 1.5649401403851115e-05, + "loss": 0.8501, + "step": 13992 + }, + { + "epoch": 0.33, + "grad_norm": 0.7745425356494315, + "learning_rate": 1.5648771777892296e-05, + "loss": 0.6984, + "step": 13993 + }, + { + "epoch": 0.33, + "grad_norm": 1.5405119982452364, + "learning_rate": 1.564814211904454e-05, + "loss": 0.9548, + "step": 13994 + }, + { + "epoch": 0.33, + "grad_norm": 2.192715749717499, + "learning_rate": 1.5647512427311508e-05, + "loss": 0.9324, + "step": 13995 + }, + { + "epoch": 0.33, + "grad_norm": 1.9844760601964522, + "learning_rate": 1.564688270269687e-05, + "loss": 0.8101, + "step": 13996 + }, + { + "epoch": 0.33, + "grad_norm": 0.8150614804070188, + "learning_rate": 1.5646252945204298e-05, + "loss": 0.7058, + "step": 13997 + }, + { + "epoch": 0.33, + "grad_norm": 1.5082273361583454, + "learning_rate": 1.5645623154837454e-05, + "loss": 0.9257, + "step": 13998 + }, + { + "epoch": 0.33, + "grad_norm": 1.7501717861078885, + "learning_rate": 1.56449933316e-05, + "loss": 0.9366, + "step": 13999 + }, + { + "epoch": 0.33, + "grad_norm": 1.5453479301963022, + "learning_rate": 1.5644363475495614e-05, + "loss": 0.9411, + "step": 14000 + }, + { + "epoch": 0.33, + "grad_norm": 0.7388285069434964, + "learning_rate": 1.564373358652795e-05, + "loss": 0.7033, + "step": 14001 + }, + { + "epoch": 0.33, + "grad_norm": 0.7513500712572524, + "learning_rate": 1.5643103664700687e-05, + "loss": 0.6865, + "step": 14002 + }, + { + "epoch": 0.33, + "grad_norm": 1.6963084964539366, + "learning_rate": 1.564247371001748e-05, + "loss": 0.9597, + "step": 14003 + }, + { + "epoch": 0.33, + "grad_norm": 1.6479409840872559, + "learning_rate": 1.5641843722482015e-05, + "loss": 0.7695, + "step": 14004 + }, + { + "epoch": 0.33, + "grad_norm": 1.5278531480258244, + "learning_rate": 1.5641213702097947e-05, + "loss": 0.9163, + "step": 14005 + }, + { + "epoch": 0.33, + "grad_norm": 1.8007337509040622, + "learning_rate": 1.5640583648868943e-05, + "loss": 0.8471, + "step": 14006 + }, + { + "epoch": 0.33, + "grad_norm": 1.8880816807598524, + "learning_rate": 1.5639953562798676e-05, + "loss": 1.0099, + "step": 14007 + }, + { + "epoch": 0.33, + "grad_norm": 1.6830690879779826, + "learning_rate": 1.563932344389082e-05, + "loss": 0.9544, + "step": 14008 + }, + { + "epoch": 0.33, + "grad_norm": 1.6307936817203887, + "learning_rate": 1.563869329214903e-05, + "loss": 0.913, + "step": 14009 + }, + { + "epoch": 0.33, + "grad_norm": 1.7546193547052664, + "learning_rate": 1.5638063107576983e-05, + "loss": 0.8369, + "step": 14010 + }, + { + "epoch": 0.33, + "grad_norm": 1.6533065477833015, + "learning_rate": 1.5637432890178354e-05, + "loss": 0.8803, + "step": 14011 + }, + { + "epoch": 0.33, + "grad_norm": 1.6382111669108783, + "learning_rate": 1.5636802639956798e-05, + "loss": 1.0409, + "step": 14012 + }, + { + "epoch": 0.33, + "grad_norm": 1.8860452761434383, + "learning_rate": 1.5636172356915995e-05, + "loss": 0.9301, + "step": 14013 + }, + { + "epoch": 0.33, + "grad_norm": 1.5619445592120622, + "learning_rate": 1.5635542041059615e-05, + "loss": 0.7081, + "step": 14014 + }, + { + "epoch": 0.33, + "grad_norm": 3.045490586003302, + "learning_rate": 1.5634911692391323e-05, + "loss": 0.8949, + "step": 14015 + }, + { + "epoch": 0.33, + "grad_norm": 1.6423043778333768, + "learning_rate": 1.5634281310914792e-05, + "loss": 0.8783, + "step": 14016 + }, + { + "epoch": 0.33, + "grad_norm": 1.543894371479287, + "learning_rate": 1.563365089663369e-05, + "loss": 0.9431, + "step": 14017 + }, + { + "epoch": 0.33, + "grad_norm": 1.5805312814980694, + "learning_rate": 1.5633020449551694e-05, + "loss": 0.8522, + "step": 14018 + }, + { + "epoch": 0.33, + "grad_norm": 2.220770356462019, + "learning_rate": 1.5632389969672462e-05, + "loss": 0.9145, + "step": 14019 + }, + { + "epoch": 0.33, + "grad_norm": 1.5849421977329679, + "learning_rate": 1.5631759456999675e-05, + "loss": 0.856, + "step": 14020 + }, + { + "epoch": 0.33, + "grad_norm": 1.8178885659919728, + "learning_rate": 1.5631128911537007e-05, + "loss": 0.8723, + "step": 14021 + }, + { + "epoch": 0.33, + "grad_norm": 1.5176510433366168, + "learning_rate": 1.5630498333288115e-05, + "loss": 1.0014, + "step": 14022 + }, + { + "epoch": 0.33, + "grad_norm": 1.7789728039531727, + "learning_rate": 1.5629867722256684e-05, + "loss": 0.9573, + "step": 14023 + }, + { + "epoch": 0.33, + "grad_norm": 0.7875154454402072, + "learning_rate": 1.5629237078446378e-05, + "loss": 0.7334, + "step": 14024 + }, + { + "epoch": 0.33, + "grad_norm": 1.6276245405968393, + "learning_rate": 1.5628606401860875e-05, + "loss": 0.8615, + "step": 14025 + }, + { + "epoch": 0.33, + "grad_norm": 1.6702538235311823, + "learning_rate": 1.562797569250384e-05, + "loss": 0.9677, + "step": 14026 + }, + { + "epoch": 0.33, + "grad_norm": 1.9622370243052527, + "learning_rate": 1.562734495037895e-05, + "loss": 0.7693, + "step": 14027 + }, + { + "epoch": 0.33, + "grad_norm": 1.7898155901845574, + "learning_rate": 1.5626714175489877e-05, + "loss": 0.9756, + "step": 14028 + }, + { + "epoch": 0.33, + "grad_norm": 1.6336732394264248, + "learning_rate": 1.5626083367840296e-05, + "loss": 0.9425, + "step": 14029 + }, + { + "epoch": 0.33, + "grad_norm": 0.8073512329385111, + "learning_rate": 1.562545252743387e-05, + "loss": 0.7753, + "step": 14030 + }, + { + "epoch": 0.33, + "grad_norm": 1.660065649063772, + "learning_rate": 1.562482165427428e-05, + "loss": 0.8518, + "step": 14031 + }, + { + "epoch": 0.33, + "grad_norm": 3.007058047989511, + "learning_rate": 1.56241907483652e-05, + "loss": 0.8104, + "step": 14032 + }, + { + "epoch": 0.33, + "grad_norm": 3.046374208207114, + "learning_rate": 1.56235598097103e-05, + "loss": 0.9094, + "step": 14033 + }, + { + "epoch": 0.33, + "grad_norm": 1.6025235225203271, + "learning_rate": 1.5622928838313254e-05, + "loss": 0.9151, + "step": 14034 + }, + { + "epoch": 0.33, + "grad_norm": 1.641631373646644, + "learning_rate": 1.5622297834177738e-05, + "loss": 0.8624, + "step": 14035 + }, + { + "epoch": 0.33, + "grad_norm": 1.6655782135017159, + "learning_rate": 1.562166679730742e-05, + "loss": 0.9774, + "step": 14036 + }, + { + "epoch": 0.33, + "grad_norm": 1.6281018033501387, + "learning_rate": 1.5621035727705982e-05, + "loss": 0.848, + "step": 14037 + }, + { + "epoch": 0.33, + "grad_norm": 2.00039778429475, + "learning_rate": 1.562040462537709e-05, + "loss": 0.8845, + "step": 14038 + }, + { + "epoch": 0.33, + "grad_norm": 0.8251533993538992, + "learning_rate": 1.5619773490324427e-05, + "loss": 0.7043, + "step": 14039 + }, + { + "epoch": 0.33, + "grad_norm": 3.282586552294611, + "learning_rate": 1.561914232255166e-05, + "loss": 0.8967, + "step": 14040 + }, + { + "epoch": 0.33, + "grad_norm": 2.133713910140083, + "learning_rate": 1.5618511122062475e-05, + "loss": 0.8734, + "step": 14041 + }, + { + "epoch": 0.33, + "grad_norm": 1.3946896283496597, + "learning_rate": 1.5617879888860533e-05, + "loss": 0.9262, + "step": 14042 + }, + { + "epoch": 0.33, + "grad_norm": 2.9438218823532294, + "learning_rate": 1.5617248622949515e-05, + "loss": 0.9124, + "step": 14043 + }, + { + "epoch": 0.33, + "grad_norm": 1.6952452982250439, + "learning_rate": 1.56166173243331e-05, + "loss": 0.837, + "step": 14044 + }, + { + "epoch": 0.33, + "grad_norm": 1.774845829612289, + "learning_rate": 1.5615985993014956e-05, + "loss": 0.8823, + "step": 14045 + }, + { + "epoch": 0.33, + "grad_norm": 0.7866228782059647, + "learning_rate": 1.561535462899877e-05, + "loss": 0.6649, + "step": 14046 + }, + { + "epoch": 0.33, + "grad_norm": 1.6294710424732584, + "learning_rate": 1.561472323228821e-05, + "loss": 0.8483, + "step": 14047 + }, + { + "epoch": 0.33, + "grad_norm": 0.7700328437964267, + "learning_rate": 1.561409180288695e-05, + "loss": 0.7282, + "step": 14048 + }, + { + "epoch": 0.33, + "grad_norm": 1.7104875157092971, + "learning_rate": 1.5613460340798674e-05, + "loss": 0.9638, + "step": 14049 + }, + { + "epoch": 0.33, + "grad_norm": 1.4340514131109932, + "learning_rate": 1.5612828846027052e-05, + "loss": 0.8767, + "step": 14050 + }, + { + "epoch": 0.33, + "grad_norm": 0.7453477283412229, + "learning_rate": 1.5612197318575767e-05, + "loss": 0.7067, + "step": 14051 + }, + { + "epoch": 0.33, + "grad_norm": 1.5055058393986396, + "learning_rate": 1.561156575844849e-05, + "loss": 0.9496, + "step": 14052 + }, + { + "epoch": 0.33, + "grad_norm": 3.013283751977717, + "learning_rate": 1.56109341656489e-05, + "loss": 0.8459, + "step": 14053 + }, + { + "epoch": 0.33, + "grad_norm": 1.9462656229893105, + "learning_rate": 1.5610302540180674e-05, + "loss": 0.8593, + "step": 14054 + }, + { + "epoch": 0.33, + "grad_norm": 3.149209518074263, + "learning_rate": 1.5609670882047492e-05, + "loss": 0.9306, + "step": 14055 + }, + { + "epoch": 0.33, + "grad_norm": 1.6292564992472196, + "learning_rate": 1.5609039191253032e-05, + "loss": 0.7678, + "step": 14056 + }, + { + "epoch": 0.33, + "grad_norm": 1.7935578532996108, + "learning_rate": 1.560840746780097e-05, + "loss": 0.9265, + "step": 14057 + }, + { + "epoch": 0.33, + "grad_norm": 2.04735415586232, + "learning_rate": 1.560777571169498e-05, + "loss": 0.8705, + "step": 14058 + }, + { + "epoch": 0.33, + "grad_norm": 1.770599905165935, + "learning_rate": 1.5607143922938747e-05, + "loss": 0.8759, + "step": 14059 + }, + { + "epoch": 0.33, + "grad_norm": 1.7742598292706753, + "learning_rate": 1.5606512101535947e-05, + "loss": 0.8781, + "step": 14060 + }, + { + "epoch": 0.33, + "grad_norm": 1.5716529008791895, + "learning_rate": 1.560588024749026e-05, + "loss": 0.8447, + "step": 14061 + }, + { + "epoch": 0.33, + "grad_norm": 1.7412244858203967, + "learning_rate": 1.5605248360805358e-05, + "loss": 0.8003, + "step": 14062 + }, + { + "epoch": 0.33, + "grad_norm": 1.523742139828796, + "learning_rate": 1.560461644148493e-05, + "loss": 0.8864, + "step": 14063 + }, + { + "epoch": 0.33, + "grad_norm": 1.8314968110052126, + "learning_rate": 1.560398448953265e-05, + "loss": 0.8178, + "step": 14064 + }, + { + "epoch": 0.33, + "grad_norm": 1.66149236381922, + "learning_rate": 1.56033525049522e-05, + "loss": 0.8758, + "step": 14065 + }, + { + "epoch": 0.33, + "grad_norm": 1.8372508379403292, + "learning_rate": 1.560272048774725e-05, + "loss": 1.0438, + "step": 14066 + }, + { + "epoch": 0.33, + "grad_norm": 1.4053552306689299, + "learning_rate": 1.5602088437921497e-05, + "loss": 0.8136, + "step": 14067 + }, + { + "epoch": 0.33, + "grad_norm": 1.5991866706549827, + "learning_rate": 1.5601456355478606e-05, + "loss": 0.8108, + "step": 14068 + }, + { + "epoch": 0.33, + "grad_norm": 1.6531137355964205, + "learning_rate": 1.5600824240422266e-05, + "loss": 0.9773, + "step": 14069 + }, + { + "epoch": 0.33, + "grad_norm": 2.6002757720316483, + "learning_rate": 1.5600192092756154e-05, + "loss": 0.8808, + "step": 14070 + }, + { + "epoch": 0.33, + "grad_norm": 1.7517619942742144, + "learning_rate": 1.5599559912483945e-05, + "loss": 0.897, + "step": 14071 + }, + { + "epoch": 0.33, + "grad_norm": 1.5037409156828108, + "learning_rate": 1.559892769960933e-05, + "loss": 0.8773, + "step": 14072 + }, + { + "epoch": 0.33, + "grad_norm": 0.7829142935181287, + "learning_rate": 1.5598295454135985e-05, + "loss": 0.7261, + "step": 14073 + }, + { + "epoch": 0.33, + "grad_norm": 0.7665326953891507, + "learning_rate": 1.5597663176067596e-05, + "loss": 0.7073, + "step": 14074 + }, + { + "epoch": 0.33, + "grad_norm": 0.7854613350751011, + "learning_rate": 1.5597030865407828e-05, + "loss": 0.7974, + "step": 14075 + }, + { + "epoch": 0.33, + "grad_norm": 1.637392664609617, + "learning_rate": 1.5596398522160385e-05, + "loss": 0.9421, + "step": 14076 + }, + { + "epoch": 0.33, + "grad_norm": 1.7532536018937235, + "learning_rate": 1.5595766146328934e-05, + "loss": 0.976, + "step": 14077 + }, + { + "epoch": 0.33, + "grad_norm": 1.8987239874556163, + "learning_rate": 1.5595133737917163e-05, + "loss": 0.9913, + "step": 14078 + }, + { + "epoch": 0.33, + "grad_norm": 2.2316730619244245, + "learning_rate": 1.559450129692875e-05, + "loss": 0.8855, + "step": 14079 + }, + { + "epoch": 0.33, + "grad_norm": 1.9265960449869215, + "learning_rate": 1.5593868823367378e-05, + "loss": 0.9763, + "step": 14080 + }, + { + "epoch": 0.33, + "grad_norm": 1.6051373793467285, + "learning_rate": 1.5593236317236733e-05, + "loss": 0.7552, + "step": 14081 + }, + { + "epoch": 0.33, + "grad_norm": 1.668365702834658, + "learning_rate": 1.5592603778540493e-05, + "loss": 0.8821, + "step": 14082 + }, + { + "epoch": 0.33, + "grad_norm": 2.0275238275024474, + "learning_rate": 1.5591971207282345e-05, + "loss": 0.8525, + "step": 14083 + }, + { + "epoch": 0.33, + "grad_norm": 2.11252448300382, + "learning_rate": 1.5591338603465972e-05, + "loss": 0.9826, + "step": 14084 + }, + { + "epoch": 0.33, + "grad_norm": 1.508362868619728, + "learning_rate": 1.5590705967095053e-05, + "loss": 0.9188, + "step": 14085 + }, + { + "epoch": 0.33, + "grad_norm": 1.62804575028605, + "learning_rate": 1.5590073298173275e-05, + "loss": 0.8224, + "step": 14086 + }, + { + "epoch": 0.33, + "grad_norm": 1.4795866791093844, + "learning_rate": 1.558944059670432e-05, + "loss": 0.8155, + "step": 14087 + }, + { + "epoch": 0.33, + "grad_norm": 1.4684170694137115, + "learning_rate": 1.5588807862691874e-05, + "loss": 0.8539, + "step": 14088 + }, + { + "epoch": 0.33, + "grad_norm": 2.0021131758270596, + "learning_rate": 1.5588175096139614e-05, + "loss": 0.7924, + "step": 14089 + }, + { + "epoch": 0.33, + "grad_norm": 1.5615830364783538, + "learning_rate": 1.5587542297051233e-05, + "loss": 0.9499, + "step": 14090 + }, + { + "epoch": 0.33, + "grad_norm": 1.678662579024652, + "learning_rate": 1.5586909465430414e-05, + "loss": 0.8807, + "step": 14091 + }, + { + "epoch": 0.33, + "grad_norm": 1.5359357432089362, + "learning_rate": 1.5586276601280833e-05, + "loss": 0.7242, + "step": 14092 + }, + { + "epoch": 0.33, + "grad_norm": 2.148664514715343, + "learning_rate": 1.558564370460619e-05, + "loss": 0.9501, + "step": 14093 + }, + { + "epoch": 0.33, + "grad_norm": 1.6271972811678166, + "learning_rate": 1.5585010775410153e-05, + "loss": 0.9332, + "step": 14094 + }, + { + "epoch": 0.33, + "grad_norm": 1.4550190123129254, + "learning_rate": 1.5584377813696417e-05, + "loss": 0.8816, + "step": 14095 + }, + { + "epoch": 0.33, + "grad_norm": 1.43439973786584, + "learning_rate": 1.5583744819468667e-05, + "loss": 0.8184, + "step": 14096 + }, + { + "epoch": 0.33, + "grad_norm": 1.8258116305267096, + "learning_rate": 1.5583111792730587e-05, + "loss": 0.9949, + "step": 14097 + }, + { + "epoch": 0.33, + "grad_norm": 1.4952024173962981, + "learning_rate": 1.558247873348586e-05, + "loss": 0.8428, + "step": 14098 + }, + { + "epoch": 0.33, + "grad_norm": 1.5791387312352132, + "learning_rate": 1.558184564173818e-05, + "loss": 0.9066, + "step": 14099 + }, + { + "epoch": 0.33, + "grad_norm": 1.5146980236023655, + "learning_rate": 1.5581212517491224e-05, + "loss": 0.965, + "step": 14100 + }, + { + "epoch": 0.33, + "grad_norm": 1.675505911442009, + "learning_rate": 1.5580579360748676e-05, + "loss": 0.9161, + "step": 14101 + }, + { + "epoch": 0.33, + "grad_norm": 1.55858939265536, + "learning_rate": 1.5579946171514237e-05, + "loss": 0.843, + "step": 14102 + }, + { + "epoch": 0.33, + "grad_norm": 2.0939101833153315, + "learning_rate": 1.557931294979158e-05, + "loss": 0.7808, + "step": 14103 + }, + { + "epoch": 0.33, + "grad_norm": 0.7572973235499278, + "learning_rate": 1.5578679695584398e-05, + "loss": 0.7138, + "step": 14104 + }, + { + "epoch": 0.33, + "grad_norm": 2.1689670309444047, + "learning_rate": 1.5578046408896378e-05, + "loss": 0.8311, + "step": 14105 + }, + { + "epoch": 0.33, + "grad_norm": 1.6172982044599429, + "learning_rate": 1.5577413089731204e-05, + "loss": 0.8306, + "step": 14106 + }, + { + "epoch": 0.33, + "grad_norm": 2.101725359005353, + "learning_rate": 1.5576779738092566e-05, + "loss": 0.9381, + "step": 14107 + }, + { + "epoch": 0.33, + "grad_norm": 1.7345488457526719, + "learning_rate": 1.557614635398415e-05, + "loss": 1.0598, + "step": 14108 + }, + { + "epoch": 0.33, + "grad_norm": 1.5330222226589632, + "learning_rate": 1.5575512937409648e-05, + "loss": 0.8417, + "step": 14109 + }, + { + "epoch": 0.33, + "grad_norm": 1.6330031212106384, + "learning_rate": 1.5574879488372738e-05, + "loss": 0.8614, + "step": 14110 + }, + { + "epoch": 0.33, + "grad_norm": 1.960199946075964, + "learning_rate": 1.5574246006877118e-05, + "loss": 0.9606, + "step": 14111 + }, + { + "epoch": 0.33, + "grad_norm": 1.6293446115506522, + "learning_rate": 1.5573612492926472e-05, + "loss": 0.8681, + "step": 14112 + }, + { + "epoch": 0.33, + "grad_norm": 1.5558828766406267, + "learning_rate": 1.5572978946524493e-05, + "loss": 0.8633, + "step": 14113 + }, + { + "epoch": 0.33, + "grad_norm": 1.5614128510138816, + "learning_rate": 1.5572345367674864e-05, + "loss": 0.8877, + "step": 14114 + }, + { + "epoch": 0.33, + "grad_norm": 1.5047912932638483, + "learning_rate": 1.5571711756381274e-05, + "loss": 0.9441, + "step": 14115 + }, + { + "epoch": 0.33, + "grad_norm": 1.7450676282358786, + "learning_rate": 1.557107811264742e-05, + "loss": 0.8715, + "step": 14116 + }, + { + "epoch": 0.33, + "grad_norm": 1.6659170710980078, + "learning_rate": 1.557044443647698e-05, + "loss": 0.7839, + "step": 14117 + }, + { + "epoch": 0.33, + "grad_norm": 1.7107861730365104, + "learning_rate": 1.5569810727873652e-05, + "loss": 0.922, + "step": 14118 + }, + { + "epoch": 0.33, + "grad_norm": 1.7679929651686446, + "learning_rate": 1.556917698684112e-05, + "loss": 0.8918, + "step": 14119 + }, + { + "epoch": 0.33, + "grad_norm": 1.7444753993863293, + "learning_rate": 1.5568543213383076e-05, + "loss": 0.8635, + "step": 14120 + }, + { + "epoch": 0.33, + "grad_norm": 1.5135221568212216, + "learning_rate": 1.5567909407503213e-05, + "loss": 1.0279, + "step": 14121 + }, + { + "epoch": 0.33, + "grad_norm": 0.8455255095258823, + "learning_rate": 1.5567275569205216e-05, + "loss": 0.7398, + "step": 14122 + }, + { + "epoch": 0.33, + "grad_norm": 2.655661179953462, + "learning_rate": 1.556664169849278e-05, + "loss": 0.86, + "step": 14123 + }, + { + "epoch": 0.33, + "grad_norm": 0.8413938576790261, + "learning_rate": 1.5566007795369594e-05, + "loss": 0.7689, + "step": 14124 + }, + { + "epoch": 0.33, + "grad_norm": 1.5560041019013073, + "learning_rate": 1.5565373859839348e-05, + "loss": 0.8327, + "step": 14125 + }, + { + "epoch": 0.33, + "grad_norm": 2.0669514444958645, + "learning_rate": 1.5564739891905734e-05, + "loss": 0.835, + "step": 14126 + }, + { + "epoch": 0.33, + "grad_norm": 1.7088460485641768, + "learning_rate": 1.556410589157244e-05, + "loss": 0.8542, + "step": 14127 + }, + { + "epoch": 0.33, + "grad_norm": 0.7211220277068708, + "learning_rate": 1.5563471858843163e-05, + "loss": 0.6879, + "step": 14128 + }, + { + "epoch": 0.33, + "grad_norm": 1.4712942166738534, + "learning_rate": 1.556283779372159e-05, + "loss": 0.8859, + "step": 14129 + }, + { + "epoch": 0.33, + "grad_norm": 1.8398557302098597, + "learning_rate": 1.5562203696211416e-05, + "loss": 0.9167, + "step": 14130 + }, + { + "epoch": 0.33, + "grad_norm": 0.7404450888490695, + "learning_rate": 1.5561569566316327e-05, + "loss": 0.6915, + "step": 14131 + }, + { + "epoch": 0.33, + "grad_norm": 1.9421037110946944, + "learning_rate": 1.5560935404040023e-05, + "loss": 0.9505, + "step": 14132 + }, + { + "epoch": 0.33, + "grad_norm": 1.717354237508155, + "learning_rate": 1.556030120938619e-05, + "loss": 0.9057, + "step": 14133 + }, + { + "epoch": 0.33, + "grad_norm": 1.860363994094408, + "learning_rate": 1.5559666982358525e-05, + "loss": 0.8942, + "step": 14134 + }, + { + "epoch": 0.33, + "grad_norm": 2.102211256013119, + "learning_rate": 1.555903272296072e-05, + "loss": 0.8836, + "step": 14135 + }, + { + "epoch": 0.33, + "grad_norm": 1.7530063460637249, + "learning_rate": 1.5558398431196465e-05, + "loss": 0.845, + "step": 14136 + }, + { + "epoch": 0.33, + "grad_norm": 1.6198832398390728, + "learning_rate": 1.5557764107069454e-05, + "loss": 0.8749, + "step": 14137 + }, + { + "epoch": 0.33, + "grad_norm": 1.8515734029652093, + "learning_rate": 1.555712975058338e-05, + "loss": 0.9301, + "step": 14138 + }, + { + "epoch": 0.33, + "grad_norm": 1.583111285281978, + "learning_rate": 1.5556495361741936e-05, + "loss": 0.9281, + "step": 14139 + }, + { + "epoch": 0.33, + "grad_norm": 1.501803316252246, + "learning_rate": 1.555586094054882e-05, + "loss": 0.8672, + "step": 14140 + }, + { + "epoch": 0.33, + "grad_norm": 1.9320779885108643, + "learning_rate": 1.5555226487007723e-05, + "loss": 0.9567, + "step": 14141 + }, + { + "epoch": 0.33, + "grad_norm": 1.782037524443305, + "learning_rate": 1.5554592001122335e-05, + "loss": 0.8768, + "step": 14142 + }, + { + "epoch": 0.33, + "grad_norm": 1.5371326534669776, + "learning_rate": 1.5553957482896356e-05, + "loss": 0.9789, + "step": 14143 + }, + { + "epoch": 0.33, + "grad_norm": 1.4262695501251441, + "learning_rate": 1.5553322932333477e-05, + "loss": 0.8675, + "step": 14144 + }, + { + "epoch": 0.33, + "grad_norm": 1.8074336870419963, + "learning_rate": 1.5552688349437396e-05, + "loss": 0.8697, + "step": 14145 + }, + { + "epoch": 0.33, + "grad_norm": 1.6282515432909996, + "learning_rate": 1.5552053734211805e-05, + "loss": 0.8716, + "step": 14146 + }, + { + "epoch": 0.33, + "grad_norm": 1.7040457728689236, + "learning_rate": 1.55514190866604e-05, + "loss": 0.9159, + "step": 14147 + }, + { + "epoch": 0.33, + "grad_norm": 0.7584967863453728, + "learning_rate": 1.5550784406786875e-05, + "loss": 0.7163, + "step": 14148 + }, + { + "epoch": 0.33, + "grad_norm": 1.9549437383453725, + "learning_rate": 1.5550149694594924e-05, + "loss": 0.8574, + "step": 14149 + }, + { + "epoch": 0.33, + "grad_norm": 1.907427380744378, + "learning_rate": 1.5549514950088243e-05, + "loss": 0.8677, + "step": 14150 + }, + { + "epoch": 0.33, + "grad_norm": 1.763616847734174, + "learning_rate": 1.554888017327053e-05, + "loss": 0.9591, + "step": 14151 + }, + { + "epoch": 0.33, + "grad_norm": 1.6154158581370168, + "learning_rate": 1.5548245364145486e-05, + "loss": 0.7966, + "step": 14152 + }, + { + "epoch": 0.33, + "grad_norm": 1.7867595503006746, + "learning_rate": 1.5547610522716796e-05, + "loss": 0.7527, + "step": 14153 + }, + { + "epoch": 0.33, + "grad_norm": 1.8705449634870772, + "learning_rate": 1.5546975648988157e-05, + "loss": 0.8582, + "step": 14154 + }, + { + "epoch": 0.33, + "grad_norm": 1.646627447364968, + "learning_rate": 1.5546340742963278e-05, + "loss": 0.9158, + "step": 14155 + }, + { + "epoch": 0.33, + "grad_norm": 2.1032023838069787, + "learning_rate": 1.554570580464584e-05, + "loss": 1.0315, + "step": 14156 + }, + { + "epoch": 0.33, + "grad_norm": 1.630913529614064, + "learning_rate": 1.5545070834039556e-05, + "loss": 0.8365, + "step": 14157 + }, + { + "epoch": 0.33, + "grad_norm": 1.5555957123934694, + "learning_rate": 1.5544435831148107e-05, + "loss": 0.9444, + "step": 14158 + }, + { + "epoch": 0.33, + "grad_norm": 1.8852706075024646, + "learning_rate": 1.55438007959752e-05, + "loss": 0.7861, + "step": 14159 + }, + { + "epoch": 0.33, + "grad_norm": 1.523751563396392, + "learning_rate": 1.554316572852453e-05, + "loss": 0.7362, + "step": 14160 + }, + { + "epoch": 0.33, + "grad_norm": 0.7463721464239507, + "learning_rate": 1.554253062879979e-05, + "loss": 0.7567, + "step": 14161 + }, + { + "epoch": 0.33, + "grad_norm": 1.5539735238972483, + "learning_rate": 1.5541895496804686e-05, + "loss": 0.8444, + "step": 14162 + }, + { + "epoch": 0.33, + "grad_norm": 1.780716750947693, + "learning_rate": 1.5541260332542906e-05, + "loss": 0.9684, + "step": 14163 + }, + { + "epoch": 0.33, + "grad_norm": 1.6019062282692644, + "learning_rate": 1.554062513601816e-05, + "loss": 0.9098, + "step": 14164 + }, + { + "epoch": 0.33, + "grad_norm": 1.6946825958545424, + "learning_rate": 1.553998990723414e-05, + "loss": 0.8239, + "step": 14165 + }, + { + "epoch": 0.33, + "grad_norm": 1.7150866929318194, + "learning_rate": 1.5539354646194544e-05, + "loss": 0.868, + "step": 14166 + }, + { + "epoch": 0.33, + "grad_norm": 0.7957768270729972, + "learning_rate": 1.553871935290307e-05, + "loss": 0.8232, + "step": 14167 + }, + { + "epoch": 0.33, + "grad_norm": 1.6684503067091527, + "learning_rate": 1.553808402736342e-05, + "loss": 0.8897, + "step": 14168 + }, + { + "epoch": 0.33, + "grad_norm": 1.7550972255354722, + "learning_rate": 1.553744866957929e-05, + "loss": 0.7921, + "step": 14169 + }, + { + "epoch": 0.33, + "grad_norm": 1.5823742324741554, + "learning_rate": 1.553681327955438e-05, + "loss": 0.9757, + "step": 14170 + }, + { + "epoch": 0.33, + "grad_norm": 1.9224936907901842, + "learning_rate": 1.5536177857292392e-05, + "loss": 0.8555, + "step": 14171 + }, + { + "epoch": 0.33, + "grad_norm": 1.736833611329528, + "learning_rate": 1.5535542402797027e-05, + "loss": 0.8814, + "step": 14172 + }, + { + "epoch": 0.33, + "grad_norm": 1.6544342190718524, + "learning_rate": 1.5534906916071976e-05, + "loss": 1.0501, + "step": 14173 + }, + { + "epoch": 0.33, + "grad_norm": 0.7713974189191236, + "learning_rate": 1.5534271397120947e-05, + "loss": 0.7225, + "step": 14174 + }, + { + "epoch": 0.33, + "grad_norm": 1.4187267946864817, + "learning_rate": 1.553363584594764e-05, + "loss": 0.8952, + "step": 14175 + }, + { + "epoch": 0.33, + "grad_norm": 1.9478784425354938, + "learning_rate": 1.553300026255575e-05, + "loss": 0.9003, + "step": 14176 + }, + { + "epoch": 0.33, + "grad_norm": 1.7561981744808535, + "learning_rate": 1.553236464694898e-05, + "loss": 0.9478, + "step": 14177 + }, + { + "epoch": 0.33, + "grad_norm": 1.485299634386292, + "learning_rate": 1.5531728999131034e-05, + "loss": 0.9275, + "step": 14178 + }, + { + "epoch": 0.33, + "grad_norm": 0.7795456981503367, + "learning_rate": 1.553109331910561e-05, + "loss": 0.7066, + "step": 14179 + }, + { + "epoch": 0.33, + "grad_norm": 1.4733977102225253, + "learning_rate": 1.553045760687641e-05, + "loss": 0.8424, + "step": 14180 + }, + { + "epoch": 0.33, + "grad_norm": 0.7729473240880945, + "learning_rate": 1.5529821862447133e-05, + "loss": 0.7863, + "step": 14181 + }, + { + "epoch": 0.33, + "grad_norm": 2.0930543060277342, + "learning_rate": 1.5529186085821485e-05, + "loss": 0.8625, + "step": 14182 + }, + { + "epoch": 0.33, + "grad_norm": 0.8100821097583886, + "learning_rate": 1.552855027700316e-05, + "loss": 0.7611, + "step": 14183 + }, + { + "epoch": 0.33, + "grad_norm": 1.4332587593724249, + "learning_rate": 1.552791443599587e-05, + "loss": 0.9623, + "step": 14184 + }, + { + "epoch": 0.33, + "grad_norm": 1.8436930107332201, + "learning_rate": 1.5527278562803313e-05, + "loss": 0.9893, + "step": 14185 + }, + { + "epoch": 0.33, + "grad_norm": 1.5716551284789972, + "learning_rate": 1.552664265742919e-05, + "loss": 0.9054, + "step": 14186 + }, + { + "epoch": 0.33, + "grad_norm": 1.5951010858074393, + "learning_rate": 1.5526006719877198e-05, + "loss": 0.9834, + "step": 14187 + }, + { + "epoch": 0.33, + "grad_norm": 1.7916140870756787, + "learning_rate": 1.552537075015105e-05, + "loss": 0.8016, + "step": 14188 + }, + { + "epoch": 0.33, + "grad_norm": 1.6645920326081958, + "learning_rate": 1.5524734748254442e-05, + "loss": 0.9031, + "step": 14189 + }, + { + "epoch": 0.33, + "grad_norm": 1.5626818879253166, + "learning_rate": 1.552409871419108e-05, + "loss": 0.8213, + "step": 14190 + }, + { + "epoch": 0.33, + "grad_norm": 0.7891966337578615, + "learning_rate": 1.5523462647964667e-05, + "loss": 0.7224, + "step": 14191 + }, + { + "epoch": 0.33, + "grad_norm": 0.7833766314754714, + "learning_rate": 1.5522826549578908e-05, + "loss": 0.701, + "step": 14192 + }, + { + "epoch": 0.33, + "grad_norm": 0.7864826959063523, + "learning_rate": 1.55221904190375e-05, + "loss": 0.7145, + "step": 14193 + }, + { + "epoch": 0.33, + "grad_norm": 1.746621471966308, + "learning_rate": 1.5521554256344152e-05, + "loss": 0.8435, + "step": 14194 + }, + { + "epoch": 0.33, + "grad_norm": 1.5660377946108006, + "learning_rate": 1.552091806150257e-05, + "loss": 0.8923, + "step": 14195 + }, + { + "epoch": 0.33, + "grad_norm": 1.6734491371152869, + "learning_rate": 1.5520281834516452e-05, + "loss": 1.0026, + "step": 14196 + }, + { + "epoch": 0.33, + "grad_norm": 2.1253240858830544, + "learning_rate": 1.5519645575389508e-05, + "loss": 0.986, + "step": 14197 + }, + { + "epoch": 0.33, + "grad_norm": 1.5187624624369183, + "learning_rate": 1.5519009284125438e-05, + "loss": 0.8519, + "step": 14198 + }, + { + "epoch": 0.33, + "grad_norm": 0.756217387661434, + "learning_rate": 1.5518372960727947e-05, + "loss": 0.7487, + "step": 14199 + }, + { + "epoch": 0.33, + "grad_norm": 1.7222737012035927, + "learning_rate": 1.5517736605200745e-05, + "loss": 0.8976, + "step": 14200 + }, + { + "epoch": 0.33, + "grad_norm": 1.625058737345759, + "learning_rate": 1.5517100217547532e-05, + "loss": 0.8021, + "step": 14201 + }, + { + "epoch": 0.33, + "grad_norm": 1.9417724910489556, + "learning_rate": 1.5516463797772017e-05, + "loss": 0.8079, + "step": 14202 + }, + { + "epoch": 0.33, + "grad_norm": 2.0720990408215973, + "learning_rate": 1.55158273458779e-05, + "loss": 1.0122, + "step": 14203 + }, + { + "epoch": 0.33, + "grad_norm": 1.8650664887311519, + "learning_rate": 1.551519086186889e-05, + "loss": 0.8738, + "step": 14204 + }, + { + "epoch": 0.33, + "grad_norm": 1.629481840070093, + "learning_rate": 1.5514554345748694e-05, + "loss": 0.8948, + "step": 14205 + }, + { + "epoch": 0.33, + "grad_norm": 1.6620746992859878, + "learning_rate": 1.551391779752102e-05, + "loss": 0.9633, + "step": 14206 + }, + { + "epoch": 0.33, + "grad_norm": 1.8199048672609526, + "learning_rate": 1.5513281217189565e-05, + "loss": 0.9247, + "step": 14207 + }, + { + "epoch": 0.33, + "grad_norm": 1.9570787808553, + "learning_rate": 1.5512644604758046e-05, + "loss": 0.9175, + "step": 14208 + }, + { + "epoch": 0.33, + "grad_norm": 1.5358939721788092, + "learning_rate": 1.551200796023016e-05, + "loss": 0.8479, + "step": 14209 + }, + { + "epoch": 0.33, + "grad_norm": 1.5296059195865825, + "learning_rate": 1.5511371283609622e-05, + "loss": 0.874, + "step": 14210 + }, + { + "epoch": 0.33, + "grad_norm": 1.6380123346843263, + "learning_rate": 1.5510734574900137e-05, + "loss": 0.9649, + "step": 14211 + }, + { + "epoch": 0.33, + "grad_norm": 1.8331354368916606, + "learning_rate": 1.5510097834105406e-05, + "loss": 0.923, + "step": 14212 + }, + { + "epoch": 0.33, + "grad_norm": 1.9217264780067969, + "learning_rate": 1.5509461061229147e-05, + "loss": 0.9912, + "step": 14213 + }, + { + "epoch": 0.33, + "grad_norm": 1.8151203189172764, + "learning_rate": 1.5508824256275055e-05, + "loss": 0.9949, + "step": 14214 + }, + { + "epoch": 0.33, + "grad_norm": 1.66653079439913, + "learning_rate": 1.550818741924685e-05, + "loss": 0.8796, + "step": 14215 + }, + { + "epoch": 0.33, + "grad_norm": 2.345083008829194, + "learning_rate": 1.550755055014823e-05, + "loss": 0.904, + "step": 14216 + }, + { + "epoch": 0.33, + "grad_norm": 1.596320772715889, + "learning_rate": 1.550691364898291e-05, + "loss": 0.9685, + "step": 14217 + }, + { + "epoch": 0.33, + "grad_norm": 1.4744765322102475, + "learning_rate": 1.5506276715754592e-05, + "loss": 0.8731, + "step": 14218 + }, + { + "epoch": 0.33, + "grad_norm": 1.7020777904750566, + "learning_rate": 1.5505639750466986e-05, + "loss": 1.0263, + "step": 14219 + }, + { + "epoch": 0.34, + "grad_norm": 1.5075482578906576, + "learning_rate": 1.5505002753123807e-05, + "loss": 1.0246, + "step": 14220 + }, + { + "epoch": 0.34, + "grad_norm": 1.7132997085485395, + "learning_rate": 1.550436572372876e-05, + "loss": 1.0114, + "step": 14221 + }, + { + "epoch": 0.34, + "grad_norm": 2.464354322786369, + "learning_rate": 1.550372866228555e-05, + "loss": 0.7618, + "step": 14222 + }, + { + "epoch": 0.34, + "grad_norm": 1.6844783012686275, + "learning_rate": 1.550309156879789e-05, + "loss": 0.9629, + "step": 14223 + }, + { + "epoch": 0.34, + "grad_norm": 1.7004357770933465, + "learning_rate": 1.5502454443269485e-05, + "loss": 0.9241, + "step": 14224 + }, + { + "epoch": 0.34, + "grad_norm": 0.7898578075227785, + "learning_rate": 1.5501817285704055e-05, + "loss": 0.8013, + "step": 14225 + }, + { + "epoch": 0.34, + "grad_norm": 1.5846523459830069, + "learning_rate": 1.55011800961053e-05, + "loss": 0.9595, + "step": 14226 + }, + { + "epoch": 0.34, + "grad_norm": 2.095025601110617, + "learning_rate": 1.550054287447693e-05, + "loss": 0.847, + "step": 14227 + }, + { + "epoch": 0.34, + "grad_norm": 2.214504563100106, + "learning_rate": 1.5499905620822662e-05, + "loss": 0.8153, + "step": 14228 + }, + { + "epoch": 0.34, + "grad_norm": 1.7817561450269468, + "learning_rate": 1.54992683351462e-05, + "loss": 0.8445, + "step": 14229 + }, + { + "epoch": 0.34, + "grad_norm": 1.5508259796005426, + "learning_rate": 1.5498631017451256e-05, + "loss": 0.8269, + "step": 14230 + }, + { + "epoch": 0.34, + "grad_norm": 1.5521408213465102, + "learning_rate": 1.5497993667741545e-05, + "loss": 0.796, + "step": 14231 + }, + { + "epoch": 0.34, + "grad_norm": 1.5898955404670447, + "learning_rate": 1.549735628602077e-05, + "loss": 0.9593, + "step": 14232 + }, + { + "epoch": 0.34, + "grad_norm": 1.3767740255325374, + "learning_rate": 1.5496718872292648e-05, + "loss": 0.8158, + "step": 14233 + }, + { + "epoch": 0.34, + "grad_norm": 2.032167785612915, + "learning_rate": 1.549608142656089e-05, + "loss": 0.9756, + "step": 14234 + }, + { + "epoch": 0.34, + "grad_norm": 1.5597897548600195, + "learning_rate": 1.5495443948829203e-05, + "loss": 0.8718, + "step": 14235 + }, + { + "epoch": 0.34, + "grad_norm": 2.117374938248296, + "learning_rate": 1.5494806439101306e-05, + "loss": 0.8793, + "step": 14236 + }, + { + "epoch": 0.34, + "grad_norm": 1.5714905585852552, + "learning_rate": 1.5494168897380905e-05, + "loss": 0.8786, + "step": 14237 + }, + { + "epoch": 0.34, + "grad_norm": 2.0995518297388056, + "learning_rate": 1.5493531323671707e-05, + "loss": 0.8285, + "step": 14238 + }, + { + "epoch": 0.34, + "grad_norm": 1.6531818009767145, + "learning_rate": 1.5492893717977438e-05, + "loss": 0.8738, + "step": 14239 + }, + { + "epoch": 0.34, + "grad_norm": 1.5917396305108864, + "learning_rate": 1.54922560803018e-05, + "loss": 0.8399, + "step": 14240 + }, + { + "epoch": 0.34, + "grad_norm": 1.5536570093085647, + "learning_rate": 1.5491618410648507e-05, + "loss": 0.8245, + "step": 14241 + }, + { + "epoch": 0.34, + "grad_norm": 1.748159931615251, + "learning_rate": 1.549098070902127e-05, + "loss": 0.97, + "step": 14242 + }, + { + "epoch": 0.34, + "grad_norm": 1.6009428213446266, + "learning_rate": 1.5490342975423814e-05, + "loss": 0.924, + "step": 14243 + }, + { + "epoch": 0.34, + "grad_norm": 1.707042083501947, + "learning_rate": 1.5489705209859838e-05, + "loss": 0.9531, + "step": 14244 + }, + { + "epoch": 0.34, + "grad_norm": 1.6195690472377362, + "learning_rate": 1.548906741233306e-05, + "loss": 0.9362, + "step": 14245 + }, + { + "epoch": 0.34, + "grad_norm": 1.4826801020406772, + "learning_rate": 1.5488429582847194e-05, + "loss": 0.8566, + "step": 14246 + }, + { + "epoch": 0.34, + "grad_norm": 1.3865939352369547, + "learning_rate": 1.5487791721405953e-05, + "loss": 0.8015, + "step": 14247 + }, + { + "epoch": 0.34, + "grad_norm": 2.2180830028659817, + "learning_rate": 1.548715382801305e-05, + "loss": 0.9771, + "step": 14248 + }, + { + "epoch": 0.34, + "grad_norm": 1.895152830575918, + "learning_rate": 1.54865159026722e-05, + "loss": 0.9745, + "step": 14249 + }, + { + "epoch": 0.34, + "grad_norm": 1.8871553134493884, + "learning_rate": 1.548587794538712e-05, + "loss": 0.8675, + "step": 14250 + }, + { + "epoch": 0.34, + "grad_norm": 1.820136789177871, + "learning_rate": 1.5485239956161523e-05, + "loss": 0.9158, + "step": 14251 + }, + { + "epoch": 0.34, + "grad_norm": 0.7995570934017234, + "learning_rate": 1.548460193499912e-05, + "loss": 0.7758, + "step": 14252 + }, + { + "epoch": 0.34, + "grad_norm": 1.8309741857157582, + "learning_rate": 1.548396388190363e-05, + "loss": 0.9532, + "step": 14253 + }, + { + "epoch": 0.34, + "grad_norm": 1.6391438278340063, + "learning_rate": 1.5483325796878764e-05, + "loss": 0.8414, + "step": 14254 + }, + { + "epoch": 0.34, + "grad_norm": 1.6796383136829118, + "learning_rate": 1.548268767992824e-05, + "loss": 0.9012, + "step": 14255 + }, + { + "epoch": 0.34, + "grad_norm": 1.5112938599741248, + "learning_rate": 1.5482049531055772e-05, + "loss": 0.7773, + "step": 14256 + }, + { + "epoch": 0.34, + "grad_norm": 1.5531422305443563, + "learning_rate": 1.5481411350265075e-05, + "loss": 0.9506, + "step": 14257 + }, + { + "epoch": 0.34, + "grad_norm": 1.617853099380045, + "learning_rate": 1.5480773137559867e-05, + "loss": 0.9592, + "step": 14258 + }, + { + "epoch": 0.34, + "grad_norm": 1.7893324670360422, + "learning_rate": 1.5480134892943865e-05, + "loss": 0.8864, + "step": 14259 + }, + { + "epoch": 0.34, + "grad_norm": 0.8043905231782476, + "learning_rate": 1.5479496616420782e-05, + "loss": 0.7405, + "step": 14260 + }, + { + "epoch": 0.34, + "grad_norm": 1.599990598688629, + "learning_rate": 1.5478858307994333e-05, + "loss": 0.8198, + "step": 14261 + }, + { + "epoch": 0.34, + "grad_norm": 1.542109655664625, + "learning_rate": 1.5478219967668236e-05, + "loss": 0.7981, + "step": 14262 + }, + { + "epoch": 0.34, + "grad_norm": 1.6298043589355304, + "learning_rate": 1.547758159544621e-05, + "loss": 0.9297, + "step": 14263 + }, + { + "epoch": 0.34, + "grad_norm": 1.56142683595922, + "learning_rate": 1.5476943191331965e-05, + "loss": 0.8689, + "step": 14264 + }, + { + "epoch": 0.34, + "grad_norm": 1.4194421092126686, + "learning_rate": 1.5476304755329227e-05, + "loss": 0.9563, + "step": 14265 + }, + { + "epoch": 0.34, + "grad_norm": 1.9812291926613574, + "learning_rate": 1.547566628744171e-05, + "loss": 0.8772, + "step": 14266 + }, + { + "epoch": 0.34, + "grad_norm": 1.3901900444347906, + "learning_rate": 1.5475027787673126e-05, + "loss": 0.9651, + "step": 14267 + }, + { + "epoch": 0.34, + "grad_norm": 1.8276860866534115, + "learning_rate": 1.54743892560272e-05, + "loss": 1.0507, + "step": 14268 + }, + { + "epoch": 0.34, + "grad_norm": 1.6706429170265262, + "learning_rate": 1.5473750692507647e-05, + "loss": 0.9438, + "step": 14269 + }, + { + "epoch": 0.34, + "grad_norm": 0.737532700443121, + "learning_rate": 1.547311209711818e-05, + "loss": 0.7564, + "step": 14270 + }, + { + "epoch": 0.34, + "grad_norm": 1.7041666817383045, + "learning_rate": 1.547247346986253e-05, + "loss": 0.8199, + "step": 14271 + }, + { + "epoch": 0.34, + "grad_norm": 1.5059898829527185, + "learning_rate": 1.54718348107444e-05, + "loss": 0.8686, + "step": 14272 + }, + { + "epoch": 0.34, + "grad_norm": 1.9211424429635666, + "learning_rate": 1.5471196119767515e-05, + "loss": 0.9995, + "step": 14273 + }, + { + "epoch": 0.34, + "grad_norm": 1.6985256919573586, + "learning_rate": 1.5470557396935597e-05, + "loss": 0.7715, + "step": 14274 + }, + { + "epoch": 0.34, + "grad_norm": 1.5404972768334138, + "learning_rate": 1.5469918642252363e-05, + "loss": 0.9029, + "step": 14275 + }, + { + "epoch": 0.34, + "grad_norm": 1.5810237326531111, + "learning_rate": 1.5469279855721527e-05, + "loss": 0.9489, + "step": 14276 + }, + { + "epoch": 0.34, + "grad_norm": 1.5230973819629492, + "learning_rate": 1.5468641037346816e-05, + "loss": 0.9192, + "step": 14277 + }, + { + "epoch": 0.34, + "grad_norm": 2.1183786477527278, + "learning_rate": 1.5468002187131944e-05, + "loss": 0.8545, + "step": 14278 + }, + { + "epoch": 0.34, + "grad_norm": 1.6703938020736613, + "learning_rate": 1.546736330508063e-05, + "loss": 0.8867, + "step": 14279 + }, + { + "epoch": 0.34, + "grad_norm": 0.7313851811173331, + "learning_rate": 1.5466724391196598e-05, + "loss": 0.7879, + "step": 14280 + }, + { + "epoch": 0.34, + "grad_norm": 1.6792842071724905, + "learning_rate": 1.5466085445483568e-05, + "loss": 0.9243, + "step": 14281 + }, + { + "epoch": 0.34, + "grad_norm": 1.8228937703121668, + "learning_rate": 1.5465446467945254e-05, + "loss": 0.9904, + "step": 14282 + }, + { + "epoch": 0.34, + "grad_norm": 0.7874157017354269, + "learning_rate": 1.5464807458585383e-05, + "loss": 0.731, + "step": 14283 + }, + { + "epoch": 0.34, + "grad_norm": 1.8542485832617903, + "learning_rate": 1.546416841740767e-05, + "loss": 0.9343, + "step": 14284 + }, + { + "epoch": 0.34, + "grad_norm": 1.381248648101603, + "learning_rate": 1.5463529344415842e-05, + "loss": 0.8432, + "step": 14285 + }, + { + "epoch": 0.34, + "grad_norm": 1.9134004796883797, + "learning_rate": 1.5462890239613613e-05, + "loss": 0.6821, + "step": 14286 + }, + { + "epoch": 0.34, + "grad_norm": 0.7598739834777777, + "learning_rate": 1.546225110300471e-05, + "loss": 0.7319, + "step": 14287 + }, + { + "epoch": 0.34, + "grad_norm": 1.8154637620879484, + "learning_rate": 1.5461611934592852e-05, + "loss": 1.0614, + "step": 14288 + }, + { + "epoch": 0.34, + "grad_norm": 1.6694390386489557, + "learning_rate": 1.546097273438176e-05, + "loss": 0.9075, + "step": 14289 + }, + { + "epoch": 0.34, + "grad_norm": 1.6971555624322157, + "learning_rate": 1.5460333502375155e-05, + "loss": 1.0263, + "step": 14290 + }, + { + "epoch": 0.34, + "grad_norm": 1.6777820457221253, + "learning_rate": 1.5459694238576757e-05, + "loss": 1.0206, + "step": 14291 + }, + { + "epoch": 0.34, + "grad_norm": 0.7425708206343388, + "learning_rate": 1.5459054942990298e-05, + "loss": 0.7278, + "step": 14292 + }, + { + "epoch": 0.34, + "grad_norm": 2.0310150292842173, + "learning_rate": 1.5458415615619486e-05, + "loss": 0.9085, + "step": 14293 + }, + { + "epoch": 0.34, + "grad_norm": 1.5923436118154772, + "learning_rate": 1.545777625646805e-05, + "loss": 0.9058, + "step": 14294 + }, + { + "epoch": 0.34, + "grad_norm": 1.623925386655662, + "learning_rate": 1.5457136865539716e-05, + "loss": 0.9137, + "step": 14295 + }, + { + "epoch": 0.34, + "grad_norm": 1.5104413744439193, + "learning_rate": 1.5456497442838202e-05, + "loss": 0.8797, + "step": 14296 + }, + { + "epoch": 0.34, + "grad_norm": 1.4106582775532246, + "learning_rate": 1.5455857988367236e-05, + "loss": 0.9286, + "step": 14297 + }, + { + "epoch": 0.34, + "grad_norm": 2.001065357400254, + "learning_rate": 1.5455218502130533e-05, + "loss": 0.911, + "step": 14298 + }, + { + "epoch": 0.34, + "grad_norm": 0.805862323143483, + "learning_rate": 1.5454578984131822e-05, + "loss": 0.7512, + "step": 14299 + }, + { + "epoch": 0.34, + "grad_norm": 1.5187559948433609, + "learning_rate": 1.5453939434374824e-05, + "loss": 0.868, + "step": 14300 + }, + { + "epoch": 0.34, + "grad_norm": 1.6458379865247792, + "learning_rate": 1.5453299852863265e-05, + "loss": 0.8682, + "step": 14301 + }, + { + "epoch": 0.34, + "grad_norm": 1.5960953594004528, + "learning_rate": 1.5452660239600873e-05, + "loss": 0.8343, + "step": 14302 + }, + { + "epoch": 0.34, + "grad_norm": 1.6421902528660006, + "learning_rate": 1.545202059459136e-05, + "loss": 0.9701, + "step": 14303 + }, + { + "epoch": 0.34, + "grad_norm": 1.761393519168777, + "learning_rate": 1.5451380917838462e-05, + "loss": 0.8459, + "step": 14304 + }, + { + "epoch": 0.34, + "grad_norm": 1.9143596140009003, + "learning_rate": 1.5450741209345894e-05, + "loss": 0.9045, + "step": 14305 + }, + { + "epoch": 0.34, + "grad_norm": 1.5478388481565604, + "learning_rate": 1.5450101469117386e-05, + "loss": 0.8726, + "step": 14306 + }, + { + "epoch": 0.34, + "grad_norm": 1.768458234269401, + "learning_rate": 1.544946169715666e-05, + "loss": 0.8873, + "step": 14307 + }, + { + "epoch": 0.34, + "grad_norm": 1.5117431731524464, + "learning_rate": 1.5448821893467444e-05, + "loss": 0.8675, + "step": 14308 + }, + { + "epoch": 0.34, + "grad_norm": 1.8854721720456362, + "learning_rate": 1.5448182058053466e-05, + "loss": 0.8912, + "step": 14309 + }, + { + "epoch": 0.34, + "grad_norm": 1.6371126119435842, + "learning_rate": 1.5447542190918444e-05, + "loss": 0.8519, + "step": 14310 + }, + { + "epoch": 0.34, + "grad_norm": 1.681610177983008, + "learning_rate": 1.5446902292066106e-05, + "loss": 0.8222, + "step": 14311 + }, + { + "epoch": 0.34, + "grad_norm": 1.7554787258773057, + "learning_rate": 1.5446262361500178e-05, + "loss": 0.9514, + "step": 14312 + }, + { + "epoch": 0.34, + "grad_norm": 2.1016381932397383, + "learning_rate": 1.544562239922439e-05, + "loss": 0.8627, + "step": 14313 + }, + { + "epoch": 0.34, + "grad_norm": 1.7164836687250733, + "learning_rate": 1.544498240524246e-05, + "loss": 0.9034, + "step": 14314 + }, + { + "epoch": 0.34, + "grad_norm": 1.959058337708678, + "learning_rate": 1.544434237955812e-05, + "loss": 0.8661, + "step": 14315 + }, + { + "epoch": 0.34, + "grad_norm": 1.5679203786101186, + "learning_rate": 1.5443702322175095e-05, + "loss": 0.891, + "step": 14316 + }, + { + "epoch": 0.34, + "grad_norm": 1.5791566888674111, + "learning_rate": 1.544306223309711e-05, + "loss": 0.9914, + "step": 14317 + }, + { + "epoch": 0.34, + "grad_norm": 1.5856995116269383, + "learning_rate": 1.54424221123279e-05, + "loss": 0.993, + "step": 14318 + }, + { + "epoch": 0.34, + "grad_norm": 1.6003277123491235, + "learning_rate": 1.544178195987118e-05, + "loss": 0.9548, + "step": 14319 + }, + { + "epoch": 0.34, + "grad_norm": 1.6235648318496987, + "learning_rate": 1.5441141775730685e-05, + "loss": 0.956, + "step": 14320 + }, + { + "epoch": 0.34, + "grad_norm": 1.7700423943753028, + "learning_rate": 1.5440501559910135e-05, + "loss": 0.8825, + "step": 14321 + }, + { + "epoch": 0.34, + "grad_norm": 2.0430219960271496, + "learning_rate": 1.5439861312413267e-05, + "loss": 0.8866, + "step": 14322 + }, + { + "epoch": 0.34, + "grad_norm": 1.9801404267354943, + "learning_rate": 1.5439221033243804e-05, + "loss": 0.9658, + "step": 14323 + }, + { + "epoch": 0.34, + "grad_norm": 1.6702879460192606, + "learning_rate": 1.5438580722405473e-05, + "loss": 0.8208, + "step": 14324 + }, + { + "epoch": 0.34, + "grad_norm": 2.1724825524164584, + "learning_rate": 1.5437940379902e-05, + "loss": 0.869, + "step": 14325 + }, + { + "epoch": 0.34, + "grad_norm": 1.71064303633954, + "learning_rate": 1.5437300005737122e-05, + "loss": 0.9968, + "step": 14326 + }, + { + "epoch": 0.34, + "grad_norm": 1.600018780136102, + "learning_rate": 1.543665959991456e-05, + "loss": 0.9449, + "step": 14327 + }, + { + "epoch": 0.34, + "grad_norm": 3.0003655836712384, + "learning_rate": 1.5436019162438044e-05, + "loss": 1.0175, + "step": 14328 + }, + { + "epoch": 0.34, + "grad_norm": 5.62978778799343, + "learning_rate": 1.5435378693311305e-05, + "loss": 0.9012, + "step": 14329 + }, + { + "epoch": 0.34, + "grad_norm": 0.8384827187902718, + "learning_rate": 1.5434738192538067e-05, + "loss": 0.7612, + "step": 14330 + }, + { + "epoch": 0.34, + "grad_norm": 1.6299820922260166, + "learning_rate": 1.5434097660122066e-05, + "loss": 0.7694, + "step": 14331 + }, + { + "epoch": 0.34, + "grad_norm": 1.7781336982408813, + "learning_rate": 1.5433457096067027e-05, + "loss": 0.9902, + "step": 14332 + }, + { + "epoch": 0.34, + "grad_norm": 1.8885859287249942, + "learning_rate": 1.543281650037668e-05, + "loss": 0.8658, + "step": 14333 + }, + { + "epoch": 0.34, + "grad_norm": 2.188195966085785, + "learning_rate": 1.5432175873054758e-05, + "loss": 0.8807, + "step": 14334 + }, + { + "epoch": 0.34, + "grad_norm": 1.6653847809348425, + "learning_rate": 1.543153521410498e-05, + "loss": 0.9905, + "step": 14335 + }, + { + "epoch": 0.34, + "grad_norm": 2.3698550280896633, + "learning_rate": 1.5430894523531094e-05, + "loss": 0.8506, + "step": 14336 + }, + { + "epoch": 0.34, + "grad_norm": 1.8889762744435439, + "learning_rate": 1.5430253801336816e-05, + "loss": 1.0001, + "step": 14337 + }, + { + "epoch": 0.34, + "grad_norm": 1.8657094726262684, + "learning_rate": 1.5429613047525885e-05, + "loss": 0.8871, + "step": 14338 + }, + { + "epoch": 0.34, + "grad_norm": 1.6081953088358714, + "learning_rate": 1.5428972262102027e-05, + "loss": 1.0218, + "step": 14339 + }, + { + "epoch": 0.34, + "grad_norm": 1.6011400267240825, + "learning_rate": 1.542833144506897e-05, + "loss": 0.8278, + "step": 14340 + }, + { + "epoch": 0.34, + "grad_norm": 1.9291183697441554, + "learning_rate": 1.542769059643045e-05, + "loss": 0.875, + "step": 14341 + }, + { + "epoch": 0.34, + "grad_norm": 1.8568931651547993, + "learning_rate": 1.5427049716190196e-05, + "loss": 0.8488, + "step": 14342 + }, + { + "epoch": 0.34, + "grad_norm": 1.4471717958015515, + "learning_rate": 1.5426408804351943e-05, + "loss": 0.9859, + "step": 14343 + }, + { + "epoch": 0.34, + "grad_norm": 1.6297587465490186, + "learning_rate": 1.542576786091942e-05, + "loss": 0.9493, + "step": 14344 + }, + { + "epoch": 0.34, + "grad_norm": 1.728281390219261, + "learning_rate": 1.5425126885896357e-05, + "loss": 0.9686, + "step": 14345 + }, + { + "epoch": 0.34, + "grad_norm": 1.9686424238634461, + "learning_rate": 1.5424485879286488e-05, + "loss": 0.9022, + "step": 14346 + }, + { + "epoch": 0.34, + "grad_norm": 1.5799877200895118, + "learning_rate": 1.5423844841093545e-05, + "loss": 0.8676, + "step": 14347 + }, + { + "epoch": 0.34, + "grad_norm": 1.783828897232682, + "learning_rate": 1.5423203771321263e-05, + "loss": 0.814, + "step": 14348 + }, + { + "epoch": 0.34, + "grad_norm": 1.5065756056319988, + "learning_rate": 1.5422562669973367e-05, + "loss": 0.9478, + "step": 14349 + }, + { + "epoch": 0.34, + "grad_norm": 0.7502774678616597, + "learning_rate": 1.5421921537053596e-05, + "loss": 0.7641, + "step": 14350 + }, + { + "epoch": 0.34, + "grad_norm": 2.089677310422773, + "learning_rate": 1.5421280372565683e-05, + "loss": 0.8142, + "step": 14351 + }, + { + "epoch": 0.34, + "grad_norm": 1.502964286958993, + "learning_rate": 1.5420639176513358e-05, + "loss": 0.8488, + "step": 14352 + }, + { + "epoch": 0.34, + "grad_norm": 1.7121493078927084, + "learning_rate": 1.5419997948900358e-05, + "loss": 1.0568, + "step": 14353 + }, + { + "epoch": 0.34, + "grad_norm": 1.7243166021219845, + "learning_rate": 1.5419356689730408e-05, + "loss": 0.9182, + "step": 14354 + }, + { + "epoch": 0.34, + "grad_norm": 1.613225814599189, + "learning_rate": 1.5418715399007253e-05, + "loss": 0.7831, + "step": 14355 + }, + { + "epoch": 0.34, + "grad_norm": 0.7650133185308903, + "learning_rate": 1.541807407673462e-05, + "loss": 0.7191, + "step": 14356 + }, + { + "epoch": 0.34, + "grad_norm": 2.347708934410573, + "learning_rate": 1.5417432722916244e-05, + "loss": 0.9648, + "step": 14357 + }, + { + "epoch": 0.34, + "grad_norm": 1.6198942582999007, + "learning_rate": 1.541679133755586e-05, + "loss": 0.8584, + "step": 14358 + }, + { + "epoch": 0.34, + "grad_norm": 1.580562883440322, + "learning_rate": 1.54161499206572e-05, + "loss": 0.8228, + "step": 14359 + }, + { + "epoch": 0.34, + "grad_norm": 2.034331854641393, + "learning_rate": 1.5415508472224002e-05, + "loss": 0.8286, + "step": 14360 + }, + { + "epoch": 0.34, + "grad_norm": 1.5578381605118967, + "learning_rate": 1.541486699226e-05, + "loss": 1.0854, + "step": 14361 + }, + { + "epoch": 0.34, + "grad_norm": 1.5728819441025268, + "learning_rate": 1.541422548076893e-05, + "loss": 0.9471, + "step": 14362 + }, + { + "epoch": 0.34, + "grad_norm": 0.7012422214304568, + "learning_rate": 1.5413583937754517e-05, + "loss": 0.6709, + "step": 14363 + }, + { + "epoch": 0.34, + "grad_norm": 1.4964904030571662, + "learning_rate": 1.5412942363220512e-05, + "loss": 0.9186, + "step": 14364 + }, + { + "epoch": 0.34, + "grad_norm": 1.6172167924301866, + "learning_rate": 1.541230075717064e-05, + "loss": 0.8522, + "step": 14365 + }, + { + "epoch": 0.34, + "grad_norm": 2.0301866385523586, + "learning_rate": 1.5411659119608643e-05, + "loss": 0.7901, + "step": 14366 + }, + { + "epoch": 0.34, + "grad_norm": 1.7399514863246843, + "learning_rate": 1.541101745053825e-05, + "loss": 0.9348, + "step": 14367 + }, + { + "epoch": 0.34, + "grad_norm": 1.6419577878677178, + "learning_rate": 1.5410375749963197e-05, + "loss": 0.9238, + "step": 14368 + }, + { + "epoch": 0.34, + "grad_norm": 1.554557911611679, + "learning_rate": 1.540973401788723e-05, + "loss": 0.8983, + "step": 14369 + }, + { + "epoch": 0.34, + "grad_norm": 1.7336170865225995, + "learning_rate": 1.5409092254314076e-05, + "loss": 0.8875, + "step": 14370 + }, + { + "epoch": 0.34, + "grad_norm": 1.7252941267207287, + "learning_rate": 1.5408450459247474e-05, + "loss": 0.9027, + "step": 14371 + }, + { + "epoch": 0.34, + "grad_norm": 1.7896718078283955, + "learning_rate": 1.5407808632691162e-05, + "loss": 0.9965, + "step": 14372 + }, + { + "epoch": 0.34, + "grad_norm": 2.353679880246221, + "learning_rate": 1.5407166774648877e-05, + "loss": 0.833, + "step": 14373 + }, + { + "epoch": 0.34, + "grad_norm": 1.739812427202209, + "learning_rate": 1.5406524885124352e-05, + "loss": 0.9581, + "step": 14374 + }, + { + "epoch": 0.34, + "grad_norm": 1.694413958939424, + "learning_rate": 1.540588296412133e-05, + "loss": 0.996, + "step": 14375 + }, + { + "epoch": 0.34, + "grad_norm": 1.7986888614463208, + "learning_rate": 1.5405241011643544e-05, + "loss": 0.9321, + "step": 14376 + }, + { + "epoch": 0.34, + "grad_norm": 1.67246132347466, + "learning_rate": 1.5404599027694734e-05, + "loss": 0.8912, + "step": 14377 + }, + { + "epoch": 0.34, + "grad_norm": 1.7615995445906203, + "learning_rate": 1.540395701227864e-05, + "loss": 0.791, + "step": 14378 + }, + { + "epoch": 0.34, + "grad_norm": 1.7698807737946531, + "learning_rate": 1.5403314965398995e-05, + "loss": 0.7678, + "step": 14379 + }, + { + "epoch": 0.34, + "grad_norm": 1.9109761245471069, + "learning_rate": 1.540267288705954e-05, + "loss": 0.9982, + "step": 14380 + }, + { + "epoch": 0.34, + "grad_norm": 2.4642640196869148, + "learning_rate": 1.5402030777264014e-05, + "loss": 0.9099, + "step": 14381 + }, + { + "epoch": 0.34, + "grad_norm": 2.1638265377651082, + "learning_rate": 1.5401388636016154e-05, + "loss": 0.9231, + "step": 14382 + }, + { + "epoch": 0.34, + "grad_norm": 2.036548617270788, + "learning_rate": 1.54007464633197e-05, + "loss": 0.9667, + "step": 14383 + }, + { + "epoch": 0.34, + "grad_norm": 0.8229889034964548, + "learning_rate": 1.5400104259178386e-05, + "loss": 0.7968, + "step": 14384 + }, + { + "epoch": 0.34, + "grad_norm": 1.653115823268349, + "learning_rate": 1.539946202359596e-05, + "loss": 0.9428, + "step": 14385 + }, + { + "epoch": 0.34, + "grad_norm": 1.5536695104832912, + "learning_rate": 1.5398819756576155e-05, + "loss": 0.9602, + "step": 14386 + }, + { + "epoch": 0.34, + "grad_norm": 0.7682924122271757, + "learning_rate": 1.539817745812271e-05, + "loss": 0.7058, + "step": 14387 + }, + { + "epoch": 0.34, + "grad_norm": 0.8480895501881917, + "learning_rate": 1.539753512823937e-05, + "loss": 0.7131, + "step": 14388 + }, + { + "epoch": 0.34, + "grad_norm": 1.5272413198324013, + "learning_rate": 1.539689276692987e-05, + "loss": 0.8559, + "step": 14389 + }, + { + "epoch": 0.34, + "grad_norm": 1.5686971642039922, + "learning_rate": 1.5396250374197953e-05, + "loss": 0.6989, + "step": 14390 + }, + { + "epoch": 0.34, + "grad_norm": 1.7875307911080844, + "learning_rate": 1.5395607950047357e-05, + "loss": 0.9622, + "step": 14391 + }, + { + "epoch": 0.34, + "grad_norm": 1.9192192649970425, + "learning_rate": 1.5394965494481824e-05, + "loss": 0.9649, + "step": 14392 + }, + { + "epoch": 0.34, + "grad_norm": 0.8255205070726579, + "learning_rate": 1.5394323007505094e-05, + "loss": 0.7431, + "step": 14393 + }, + { + "epoch": 0.34, + "grad_norm": 2.2076794330660703, + "learning_rate": 1.5393680489120907e-05, + "loss": 0.8551, + "step": 14394 + }, + { + "epoch": 0.34, + "grad_norm": 0.7685397810820328, + "learning_rate": 1.5393037939333004e-05, + "loss": 0.743, + "step": 14395 + }, + { + "epoch": 0.34, + "grad_norm": 1.592760010574413, + "learning_rate": 1.5392395358145125e-05, + "loss": 0.9345, + "step": 14396 + }, + { + "epoch": 0.34, + "grad_norm": 1.52275802946615, + "learning_rate": 1.5391752745561022e-05, + "loss": 0.8496, + "step": 14397 + }, + { + "epoch": 0.34, + "grad_norm": 1.639127630611902, + "learning_rate": 1.539111010158442e-05, + "loss": 0.8627, + "step": 14398 + }, + { + "epoch": 0.34, + "grad_norm": 2.0240682400803345, + "learning_rate": 1.539046742621907e-05, + "loss": 0.8917, + "step": 14399 + }, + { + "epoch": 0.34, + "grad_norm": 1.8655385276832814, + "learning_rate": 1.538982471946871e-05, + "loss": 0.9381, + "step": 14400 + }, + { + "epoch": 0.34, + "grad_norm": 0.7812429995893719, + "learning_rate": 1.5389181981337085e-05, + "loss": 0.6833, + "step": 14401 + }, + { + "epoch": 0.34, + "grad_norm": 1.8443374952231486, + "learning_rate": 1.5388539211827934e-05, + "loss": 0.9351, + "step": 14402 + }, + { + "epoch": 0.34, + "grad_norm": 0.7391153637528335, + "learning_rate": 1.538789641094501e-05, + "loss": 0.7137, + "step": 14403 + }, + { + "epoch": 0.34, + "grad_norm": 1.4897380738267545, + "learning_rate": 1.538725357869204e-05, + "loss": 0.9234, + "step": 14404 + }, + { + "epoch": 0.34, + "grad_norm": 1.488069226221125, + "learning_rate": 1.5386610715072773e-05, + "loss": 0.9642, + "step": 14405 + }, + { + "epoch": 0.34, + "grad_norm": 1.8045488071766316, + "learning_rate": 1.5385967820090958e-05, + "loss": 0.8165, + "step": 14406 + }, + { + "epoch": 0.34, + "grad_norm": 1.9538709471148765, + "learning_rate": 1.538532489375033e-05, + "loss": 0.7478, + "step": 14407 + }, + { + "epoch": 0.34, + "grad_norm": 1.853132279318537, + "learning_rate": 1.5384681936054636e-05, + "loss": 0.9346, + "step": 14408 + }, + { + "epoch": 0.34, + "grad_norm": 2.2459229188462313, + "learning_rate": 1.5384038947007617e-05, + "loss": 0.9263, + "step": 14409 + }, + { + "epoch": 0.34, + "grad_norm": 1.7353440847843529, + "learning_rate": 1.5383395926613026e-05, + "loss": 0.8511, + "step": 14410 + }, + { + "epoch": 0.34, + "grad_norm": 1.6006571136458831, + "learning_rate": 1.5382752874874595e-05, + "loss": 0.9744, + "step": 14411 + }, + { + "epoch": 0.34, + "grad_norm": 1.7121482272859054, + "learning_rate": 1.5382109791796073e-05, + "loss": 0.8838, + "step": 14412 + }, + { + "epoch": 0.34, + "grad_norm": 1.6542457628580594, + "learning_rate": 1.53814666773812e-05, + "loss": 0.9309, + "step": 14413 + }, + { + "epoch": 0.34, + "grad_norm": 2.116812483629149, + "learning_rate": 1.5380823531633727e-05, + "loss": 0.8542, + "step": 14414 + }, + { + "epoch": 0.34, + "grad_norm": 1.895598673826127, + "learning_rate": 1.5380180354557398e-05, + "loss": 0.8693, + "step": 14415 + }, + { + "epoch": 0.34, + "grad_norm": 1.5611842252523627, + "learning_rate": 1.5379537146155954e-05, + "loss": 0.9199, + "step": 14416 + }, + { + "epoch": 0.34, + "grad_norm": 2.4144310629978967, + "learning_rate": 1.5378893906433142e-05, + "loss": 0.9368, + "step": 14417 + }, + { + "epoch": 0.34, + "grad_norm": 1.4478603445532217, + "learning_rate": 1.5378250635392707e-05, + "loss": 0.9142, + "step": 14418 + }, + { + "epoch": 0.34, + "grad_norm": 1.976103891507378, + "learning_rate": 1.5377607333038392e-05, + "loss": 0.9228, + "step": 14419 + }, + { + "epoch": 0.34, + "grad_norm": 1.6053993706884626, + "learning_rate": 1.5376963999373945e-05, + "loss": 0.8934, + "step": 14420 + }, + { + "epoch": 0.34, + "grad_norm": 1.8769602416942612, + "learning_rate": 1.5376320634403112e-05, + "loss": 0.9579, + "step": 14421 + }, + { + "epoch": 0.34, + "grad_norm": 1.6794169087932698, + "learning_rate": 1.537567723812964e-05, + "loss": 0.885, + "step": 14422 + }, + { + "epoch": 0.34, + "grad_norm": 1.7944279942457584, + "learning_rate": 1.537503381055727e-05, + "loss": 0.8751, + "step": 14423 + }, + { + "epoch": 0.34, + "grad_norm": 1.6296754091208099, + "learning_rate": 1.5374390351689752e-05, + "loss": 0.7918, + "step": 14424 + }, + { + "epoch": 0.34, + "grad_norm": 1.7441260390550164, + "learning_rate": 1.5373746861530835e-05, + "loss": 0.9196, + "step": 14425 + }, + { + "epoch": 0.34, + "grad_norm": 0.7883227203412089, + "learning_rate": 1.5373103340084262e-05, + "loss": 0.756, + "step": 14426 + }, + { + "epoch": 0.34, + "grad_norm": 1.6111029923006066, + "learning_rate": 1.537245978735378e-05, + "loss": 0.9681, + "step": 14427 + }, + { + "epoch": 0.34, + "grad_norm": 1.6651043073324727, + "learning_rate": 1.5371816203343132e-05, + "loss": 0.9273, + "step": 14428 + }, + { + "epoch": 0.34, + "grad_norm": 1.6652563151923785, + "learning_rate": 1.5371172588056076e-05, + "loss": 0.931, + "step": 14429 + }, + { + "epoch": 0.34, + "grad_norm": 0.8109684188915336, + "learning_rate": 1.5370528941496346e-05, + "loss": 0.7297, + "step": 14430 + }, + { + "epoch": 0.34, + "grad_norm": 2.1442426641406147, + "learning_rate": 1.53698852636677e-05, + "loss": 0.7499, + "step": 14431 + }, + { + "epoch": 0.34, + "grad_norm": 1.7080543578792309, + "learning_rate": 1.536924155457388e-05, + "loss": 0.9086, + "step": 14432 + }, + { + "epoch": 0.34, + "grad_norm": 0.7922466509944406, + "learning_rate": 1.536859781421864e-05, + "loss": 0.7324, + "step": 14433 + }, + { + "epoch": 0.34, + "grad_norm": 1.6730645904462025, + "learning_rate": 1.536795404260572e-05, + "loss": 0.8393, + "step": 14434 + }, + { + "epoch": 0.34, + "grad_norm": 1.7418785906361067, + "learning_rate": 1.536731023973887e-05, + "loss": 0.865, + "step": 14435 + }, + { + "epoch": 0.34, + "grad_norm": 2.0670549832885596, + "learning_rate": 1.5366666405621846e-05, + "loss": 0.9238, + "step": 14436 + }, + { + "epoch": 0.34, + "grad_norm": 0.8206601893498062, + "learning_rate": 1.5366022540258388e-05, + "loss": 0.8165, + "step": 14437 + }, + { + "epoch": 0.34, + "grad_norm": 1.7428852202380323, + "learning_rate": 1.536537864365225e-05, + "loss": 0.9068, + "step": 14438 + }, + { + "epoch": 0.34, + "grad_norm": 3.1195185913927275, + "learning_rate": 1.5364734715807176e-05, + "loss": 0.9163, + "step": 14439 + }, + { + "epoch": 0.34, + "grad_norm": 0.8060362620797773, + "learning_rate": 1.536409075672692e-05, + "loss": 0.7724, + "step": 14440 + }, + { + "epoch": 0.34, + "grad_norm": 0.7575422378757948, + "learning_rate": 1.5363446766415226e-05, + "loss": 0.7432, + "step": 14441 + }, + { + "epoch": 0.34, + "grad_norm": 2.021963363244152, + "learning_rate": 1.536280274487585e-05, + "loss": 0.9267, + "step": 14442 + }, + { + "epoch": 0.34, + "grad_norm": 2.550191092528743, + "learning_rate": 1.536215869211254e-05, + "loss": 0.9137, + "step": 14443 + }, + { + "epoch": 0.34, + "grad_norm": 1.7276985295570988, + "learning_rate": 1.5361514608129043e-05, + "loss": 0.9035, + "step": 14444 + }, + { + "epoch": 0.34, + "grad_norm": 1.758436520184717, + "learning_rate": 1.536087049292911e-05, + "loss": 0.8306, + "step": 14445 + }, + { + "epoch": 0.34, + "grad_norm": 1.9285371208335444, + "learning_rate": 1.5360226346516493e-05, + "loss": 0.9542, + "step": 14446 + }, + { + "epoch": 0.34, + "grad_norm": 1.858184676998969, + "learning_rate": 1.535958216889494e-05, + "loss": 0.8981, + "step": 14447 + }, + { + "epoch": 0.34, + "grad_norm": 1.6701425919244541, + "learning_rate": 1.5358937960068204e-05, + "loss": 0.8647, + "step": 14448 + }, + { + "epoch": 0.34, + "grad_norm": 1.7032900880130017, + "learning_rate": 1.535829372004003e-05, + "loss": 0.86, + "step": 14449 + }, + { + "epoch": 0.34, + "grad_norm": 1.651003988584073, + "learning_rate": 1.5357649448814177e-05, + "loss": 0.845, + "step": 14450 + }, + { + "epoch": 0.34, + "grad_norm": 1.6926478835882979, + "learning_rate": 1.5357005146394394e-05, + "loss": 0.9201, + "step": 14451 + }, + { + "epoch": 0.34, + "grad_norm": 1.8617159634926523, + "learning_rate": 1.535636081278443e-05, + "loss": 0.8135, + "step": 14452 + }, + { + "epoch": 0.34, + "grad_norm": 1.413208352949969, + "learning_rate": 1.5355716447988038e-05, + "loss": 0.9011, + "step": 14453 + }, + { + "epoch": 0.34, + "grad_norm": 1.613711500549203, + "learning_rate": 1.535507205200897e-05, + "loss": 0.9002, + "step": 14454 + }, + { + "epoch": 0.34, + "grad_norm": 2.4624011084100377, + "learning_rate": 1.5354427624850978e-05, + "loss": 0.8815, + "step": 14455 + }, + { + "epoch": 0.34, + "grad_norm": 1.530837633107697, + "learning_rate": 1.5353783166517806e-05, + "loss": 0.953, + "step": 14456 + }, + { + "epoch": 0.34, + "grad_norm": 1.6173541513270595, + "learning_rate": 1.535313867701322e-05, + "loss": 0.7692, + "step": 14457 + }, + { + "epoch": 0.34, + "grad_norm": 1.6170505883103157, + "learning_rate": 1.5352494156340963e-05, + "loss": 1.0363, + "step": 14458 + }, + { + "epoch": 0.34, + "grad_norm": 1.5051310333643706, + "learning_rate": 1.5351849604504794e-05, + "loss": 0.8557, + "step": 14459 + }, + { + "epoch": 0.34, + "grad_norm": 1.4941313100505758, + "learning_rate": 1.5351205021508457e-05, + "loss": 0.9656, + "step": 14460 + }, + { + "epoch": 0.34, + "grad_norm": 1.627196815741778, + "learning_rate": 1.5350560407355714e-05, + "loss": 0.9933, + "step": 14461 + }, + { + "epoch": 0.34, + "grad_norm": 1.6745516030781427, + "learning_rate": 1.5349915762050316e-05, + "loss": 0.9928, + "step": 14462 + }, + { + "epoch": 0.34, + "grad_norm": 1.8284667860730408, + "learning_rate": 1.5349271085596013e-05, + "loss": 0.9062, + "step": 14463 + }, + { + "epoch": 0.34, + "grad_norm": 1.757845682023038, + "learning_rate": 1.534862637799656e-05, + "loss": 0.8972, + "step": 14464 + }, + { + "epoch": 0.34, + "grad_norm": 1.5743526460292614, + "learning_rate": 1.534798163925571e-05, + "loss": 1.0232, + "step": 14465 + }, + { + "epoch": 0.34, + "grad_norm": 2.0613898098755423, + "learning_rate": 1.5347336869377215e-05, + "loss": 0.8431, + "step": 14466 + }, + { + "epoch": 0.34, + "grad_norm": 1.8204550384476366, + "learning_rate": 1.5346692068364834e-05, + "loss": 0.7565, + "step": 14467 + }, + { + "epoch": 0.34, + "grad_norm": 1.7967944359891608, + "learning_rate": 1.534604723622232e-05, + "loss": 0.9419, + "step": 14468 + }, + { + "epoch": 0.34, + "grad_norm": 1.8619710419766302, + "learning_rate": 1.5345402372953427e-05, + "loss": 0.9222, + "step": 14469 + }, + { + "epoch": 0.34, + "grad_norm": 0.8061984824718311, + "learning_rate": 1.534475747856191e-05, + "loss": 0.7204, + "step": 14470 + }, + { + "epoch": 0.34, + "grad_norm": 1.815518313563905, + "learning_rate": 1.534411255305152e-05, + "loss": 0.8919, + "step": 14471 + }, + { + "epoch": 0.34, + "grad_norm": 1.892328226577549, + "learning_rate": 1.5343467596426015e-05, + "loss": 0.9372, + "step": 14472 + }, + { + "epoch": 0.34, + "grad_norm": 1.769618412771343, + "learning_rate": 1.5342822608689153e-05, + "loss": 0.9571, + "step": 14473 + }, + { + "epoch": 0.34, + "grad_norm": 1.8053423040778753, + "learning_rate": 1.5342177589844682e-05, + "loss": 0.8937, + "step": 14474 + }, + { + "epoch": 0.34, + "grad_norm": 1.8682111038064766, + "learning_rate": 1.5341532539896364e-05, + "loss": 0.9105, + "step": 14475 + }, + { + "epoch": 0.34, + "grad_norm": 0.7509701053863576, + "learning_rate": 1.5340887458847954e-05, + "loss": 0.7263, + "step": 14476 + }, + { + "epoch": 0.34, + "grad_norm": 0.794163506540931, + "learning_rate": 1.5340242346703204e-05, + "loss": 0.7743, + "step": 14477 + }, + { + "epoch": 0.34, + "grad_norm": 1.7590386263699553, + "learning_rate": 1.5339597203465876e-05, + "loss": 0.9011, + "step": 14478 + }, + { + "epoch": 0.34, + "grad_norm": 1.7314459045290003, + "learning_rate": 1.5338952029139718e-05, + "loss": 0.8784, + "step": 14479 + }, + { + "epoch": 0.34, + "grad_norm": 1.6066725873764758, + "learning_rate": 1.5338306823728494e-05, + "loss": 0.8267, + "step": 14480 + }, + { + "epoch": 0.34, + "grad_norm": 1.5830789058971868, + "learning_rate": 1.5337661587235952e-05, + "loss": 0.8482, + "step": 14481 + }, + { + "epoch": 0.34, + "grad_norm": 1.5736348073597408, + "learning_rate": 1.533701631966586e-05, + "loss": 0.8763, + "step": 14482 + }, + { + "epoch": 0.34, + "grad_norm": 1.7781439403853874, + "learning_rate": 1.533637102102197e-05, + "loss": 0.9033, + "step": 14483 + }, + { + "epoch": 0.34, + "grad_norm": 1.645447349993965, + "learning_rate": 1.5335725691308035e-05, + "loss": 0.9115, + "step": 14484 + }, + { + "epoch": 0.34, + "grad_norm": 1.6051455185809307, + "learning_rate": 1.5335080330527818e-05, + "loss": 0.8443, + "step": 14485 + }, + { + "epoch": 0.34, + "grad_norm": 1.5645321183771381, + "learning_rate": 1.5334434938685073e-05, + "loss": 0.9234, + "step": 14486 + }, + { + "epoch": 0.34, + "grad_norm": 1.6167355495240143, + "learning_rate": 1.5333789515783558e-05, + "loss": 0.8483, + "step": 14487 + }, + { + "epoch": 0.34, + "grad_norm": 2.0739219096113466, + "learning_rate": 1.5333144061827033e-05, + "loss": 0.8946, + "step": 14488 + }, + { + "epoch": 0.34, + "grad_norm": 1.7964608427979785, + "learning_rate": 1.5332498576819256e-05, + "loss": 0.8864, + "step": 14489 + }, + { + "epoch": 0.34, + "grad_norm": 1.744685747002442, + "learning_rate": 1.5331853060763985e-05, + "loss": 0.9413, + "step": 14490 + }, + { + "epoch": 0.34, + "grad_norm": 1.5746880061087063, + "learning_rate": 1.5331207513664973e-05, + "loss": 0.9097, + "step": 14491 + }, + { + "epoch": 0.34, + "grad_norm": 1.5946871436143222, + "learning_rate": 1.5330561935525988e-05, + "loss": 0.9572, + "step": 14492 + }, + { + "epoch": 0.34, + "grad_norm": 1.6976081625922015, + "learning_rate": 1.532991632635078e-05, + "loss": 1.0216, + "step": 14493 + }, + { + "epoch": 0.34, + "grad_norm": 1.5889086402861863, + "learning_rate": 1.5329270686143112e-05, + "loss": 0.9429, + "step": 14494 + }, + { + "epoch": 0.34, + "grad_norm": 0.8169876884611982, + "learning_rate": 1.5328625014906746e-05, + "loss": 0.7569, + "step": 14495 + }, + { + "epoch": 0.34, + "grad_norm": 1.6115567978519882, + "learning_rate": 1.5327979312645433e-05, + "loss": 1.0085, + "step": 14496 + }, + { + "epoch": 0.34, + "grad_norm": 1.635690178329006, + "learning_rate": 1.5327333579362945e-05, + "loss": 0.868, + "step": 14497 + }, + { + "epoch": 0.34, + "grad_norm": 1.6018339853237697, + "learning_rate": 1.5326687815063025e-05, + "loss": 0.8785, + "step": 14498 + }, + { + "epoch": 0.34, + "grad_norm": 1.4611830791826426, + "learning_rate": 1.532604201974945e-05, + "loss": 0.8775, + "step": 14499 + }, + { + "epoch": 0.34, + "grad_norm": 1.587798239145319, + "learning_rate": 1.5325396193425967e-05, + "loss": 0.8915, + "step": 14500 + }, + { + "epoch": 0.34, + "grad_norm": 0.8259393924185796, + "learning_rate": 1.5324750336096347e-05, + "loss": 0.7475, + "step": 14501 + }, + { + "epoch": 0.34, + "grad_norm": 0.7847727219837816, + "learning_rate": 1.5324104447764342e-05, + "loss": 0.7473, + "step": 14502 + }, + { + "epoch": 0.34, + "grad_norm": 1.699500516040813, + "learning_rate": 1.5323458528433713e-05, + "loss": 0.9747, + "step": 14503 + }, + { + "epoch": 0.34, + "grad_norm": 1.5945124696704847, + "learning_rate": 1.5322812578108224e-05, + "loss": 0.8324, + "step": 14504 + }, + { + "epoch": 0.34, + "grad_norm": 0.8193988599702209, + "learning_rate": 1.5322166596791636e-05, + "loss": 0.7269, + "step": 14505 + }, + { + "epoch": 0.34, + "grad_norm": 0.7619028163620569, + "learning_rate": 1.532152058448771e-05, + "loss": 0.6689, + "step": 14506 + }, + { + "epoch": 0.34, + "grad_norm": 2.111815059529134, + "learning_rate": 1.5320874541200202e-05, + "loss": 0.9008, + "step": 14507 + }, + { + "epoch": 0.34, + "grad_norm": 1.7783953369302103, + "learning_rate": 1.5320228466932885e-05, + "loss": 0.8043, + "step": 14508 + }, + { + "epoch": 0.34, + "grad_norm": 1.7125198610076537, + "learning_rate": 1.5319582361689508e-05, + "loss": 1.0337, + "step": 14509 + }, + { + "epoch": 0.34, + "grad_norm": 1.6911887563219945, + "learning_rate": 1.531893622547384e-05, + "loss": 0.9165, + "step": 14510 + }, + { + "epoch": 0.34, + "grad_norm": 1.5716556854062327, + "learning_rate": 1.531829005828964e-05, + "loss": 1.0353, + "step": 14511 + }, + { + "epoch": 0.34, + "grad_norm": 1.580839537093289, + "learning_rate": 1.5317643860140675e-05, + "loss": 0.9944, + "step": 14512 + }, + { + "epoch": 0.34, + "grad_norm": 1.7687067990223662, + "learning_rate": 1.53169976310307e-05, + "loss": 0.9289, + "step": 14513 + }, + { + "epoch": 0.34, + "grad_norm": 1.7227138207386412, + "learning_rate": 1.5316351370963484e-05, + "loss": 0.8806, + "step": 14514 + }, + { + "epoch": 0.34, + "grad_norm": 1.5043699495403708, + "learning_rate": 1.5315705079942787e-05, + "loss": 0.9163, + "step": 14515 + }, + { + "epoch": 0.34, + "grad_norm": 1.978331455639636, + "learning_rate": 1.5315058757972373e-05, + "loss": 1.0126, + "step": 14516 + }, + { + "epoch": 0.34, + "grad_norm": 1.509506444340939, + "learning_rate": 1.5314412405056e-05, + "loss": 0.8425, + "step": 14517 + }, + { + "epoch": 0.34, + "grad_norm": 1.8069273057830895, + "learning_rate": 1.531376602119744e-05, + "loss": 0.936, + "step": 14518 + }, + { + "epoch": 0.34, + "grad_norm": 2.0778238261985242, + "learning_rate": 1.531311960640045e-05, + "loss": 0.9776, + "step": 14519 + }, + { + "epoch": 0.34, + "grad_norm": 1.6037263150660255, + "learning_rate": 1.5312473160668796e-05, + "loss": 1.0012, + "step": 14520 + }, + { + "epoch": 0.34, + "grad_norm": 1.7630646760305284, + "learning_rate": 1.5311826684006243e-05, + "loss": 0.8944, + "step": 14521 + }, + { + "epoch": 0.34, + "grad_norm": 1.465638159851386, + "learning_rate": 1.5311180176416548e-05, + "loss": 0.9192, + "step": 14522 + }, + { + "epoch": 0.34, + "grad_norm": 1.6268699930007422, + "learning_rate": 1.5310533637903483e-05, + "loss": 0.9938, + "step": 14523 + }, + { + "epoch": 0.34, + "grad_norm": 1.6355455874857825, + "learning_rate": 1.530988706847081e-05, + "loss": 0.9103, + "step": 14524 + }, + { + "epoch": 0.34, + "grad_norm": 1.9647111780135418, + "learning_rate": 1.5309240468122294e-05, + "loss": 0.9052, + "step": 14525 + }, + { + "epoch": 0.34, + "grad_norm": 1.4553189542187481, + "learning_rate": 1.53085938368617e-05, + "loss": 0.9163, + "step": 14526 + }, + { + "epoch": 0.34, + "grad_norm": 1.863739761107783, + "learning_rate": 1.5307947174692795e-05, + "loss": 0.8102, + "step": 14527 + }, + { + "epoch": 0.34, + "grad_norm": 1.6120606050624198, + "learning_rate": 1.5307300481619334e-05, + "loss": 0.8077, + "step": 14528 + }, + { + "epoch": 0.34, + "grad_norm": 1.5471666752432656, + "learning_rate": 1.5306653757645095e-05, + "loss": 0.8928, + "step": 14529 + }, + { + "epoch": 0.34, + "grad_norm": 1.5601148017830113, + "learning_rate": 1.5306007002773834e-05, + "loss": 0.9008, + "step": 14530 + }, + { + "epoch": 0.34, + "grad_norm": 0.8104658750447524, + "learning_rate": 1.5305360217009324e-05, + "loss": 0.7013, + "step": 14531 + }, + { + "epoch": 0.34, + "grad_norm": 2.221168301985867, + "learning_rate": 1.530471340035532e-05, + "loss": 0.8689, + "step": 14532 + }, + { + "epoch": 0.34, + "grad_norm": 1.6886595873784942, + "learning_rate": 1.5304066552815604e-05, + "loss": 0.9216, + "step": 14533 + }, + { + "epoch": 0.34, + "grad_norm": 1.6538950522420268, + "learning_rate": 1.530341967439393e-05, + "loss": 0.7743, + "step": 14534 + }, + { + "epoch": 0.34, + "grad_norm": 1.76644486848168, + "learning_rate": 1.5302772765094065e-05, + "loss": 0.8743, + "step": 14535 + }, + { + "epoch": 0.34, + "grad_norm": 1.9836013720707473, + "learning_rate": 1.530212582491978e-05, + "loss": 0.9833, + "step": 14536 + }, + { + "epoch": 0.34, + "grad_norm": 1.8057125867661978, + "learning_rate": 1.5301478853874838e-05, + "loss": 0.9603, + "step": 14537 + }, + { + "epoch": 0.34, + "grad_norm": 1.693187389197692, + "learning_rate": 1.5300831851963013e-05, + "loss": 0.8193, + "step": 14538 + }, + { + "epoch": 0.34, + "grad_norm": 1.6393421947954832, + "learning_rate": 1.530018481918806e-05, + "loss": 0.9106, + "step": 14539 + }, + { + "epoch": 0.34, + "grad_norm": 0.8021690768977877, + "learning_rate": 1.529953775555376e-05, + "loss": 0.7759, + "step": 14540 + }, + { + "epoch": 0.34, + "grad_norm": 0.7546927092737185, + "learning_rate": 1.529889066106387e-05, + "loss": 0.7174, + "step": 14541 + }, + { + "epoch": 0.34, + "grad_norm": 1.6331437833024867, + "learning_rate": 1.5298243535722162e-05, + "loss": 0.8631, + "step": 14542 + }, + { + "epoch": 0.34, + "grad_norm": 1.5494591595977727, + "learning_rate": 1.52975963795324e-05, + "loss": 0.8355, + "step": 14543 + }, + { + "epoch": 0.34, + "grad_norm": 1.854637376220249, + "learning_rate": 1.5296949192498358e-05, + "loss": 0.8435, + "step": 14544 + }, + { + "epoch": 0.34, + "grad_norm": 1.4736489321700448, + "learning_rate": 1.5296301974623794e-05, + "loss": 0.8563, + "step": 14545 + }, + { + "epoch": 0.34, + "grad_norm": 1.6214946935915984, + "learning_rate": 1.529565472591249e-05, + "loss": 0.9143, + "step": 14546 + }, + { + "epoch": 0.34, + "grad_norm": 1.5714900291756237, + "learning_rate": 1.5295007446368207e-05, + "loss": 0.8582, + "step": 14547 + }, + { + "epoch": 0.34, + "grad_norm": 1.9728529649677018, + "learning_rate": 1.5294360135994712e-05, + "loss": 0.9233, + "step": 14548 + }, + { + "epoch": 0.34, + "grad_norm": 1.4445077783697668, + "learning_rate": 1.5293712794795777e-05, + "loss": 1.02, + "step": 14549 + }, + { + "epoch": 0.34, + "grad_norm": 1.5051549595642706, + "learning_rate": 1.529306542277517e-05, + "loss": 0.8007, + "step": 14550 + }, + { + "epoch": 0.34, + "grad_norm": 1.6857196722844934, + "learning_rate": 1.529241801993666e-05, + "loss": 0.8755, + "step": 14551 + }, + { + "epoch": 0.34, + "grad_norm": 1.6571820011418092, + "learning_rate": 1.5291770586284018e-05, + "loss": 0.9782, + "step": 14552 + }, + { + "epoch": 0.34, + "grad_norm": 1.904761941940558, + "learning_rate": 1.5291123121821013e-05, + "loss": 0.7833, + "step": 14553 + }, + { + "epoch": 0.34, + "grad_norm": 1.6900269273137705, + "learning_rate": 1.529047562655141e-05, + "loss": 0.8834, + "step": 14554 + }, + { + "epoch": 0.34, + "grad_norm": 1.7565937448150142, + "learning_rate": 1.528982810047899e-05, + "loss": 0.8748, + "step": 14555 + }, + { + "epoch": 0.34, + "grad_norm": 0.7848249515327772, + "learning_rate": 1.528918054360751e-05, + "loss": 0.7286, + "step": 14556 + }, + { + "epoch": 0.34, + "grad_norm": 2.4365994289641795, + "learning_rate": 1.528853295594075e-05, + "loss": 0.8288, + "step": 14557 + }, + { + "epoch": 0.34, + "grad_norm": 1.595629366888284, + "learning_rate": 1.5287885337482472e-05, + "loss": 0.939, + "step": 14558 + }, + { + "epoch": 0.34, + "grad_norm": 1.557996250758025, + "learning_rate": 1.5287237688236455e-05, + "loss": 1.0039, + "step": 14559 + }, + { + "epoch": 0.34, + "grad_norm": 1.677966771222756, + "learning_rate": 1.5286590008206465e-05, + "loss": 0.9084, + "step": 14560 + }, + { + "epoch": 0.34, + "grad_norm": 0.7504632234966171, + "learning_rate": 1.5285942297396277e-05, + "loss": 0.7272, + "step": 14561 + }, + { + "epoch": 0.34, + "grad_norm": 1.9152012607509559, + "learning_rate": 1.5285294555809658e-05, + "loss": 0.8079, + "step": 14562 + }, + { + "epoch": 0.34, + "grad_norm": 1.53684299580162, + "learning_rate": 1.528464678345038e-05, + "loss": 0.7985, + "step": 14563 + }, + { + "epoch": 0.34, + "grad_norm": 1.6536374607349027, + "learning_rate": 1.5283998980322214e-05, + "loss": 0.9024, + "step": 14564 + }, + { + "epoch": 0.34, + "grad_norm": 1.5476658406585098, + "learning_rate": 1.5283351146428933e-05, + "loss": 0.9201, + "step": 14565 + }, + { + "epoch": 0.34, + "grad_norm": 1.6358789840653396, + "learning_rate": 1.5282703281774312e-05, + "loss": 0.8917, + "step": 14566 + }, + { + "epoch": 0.34, + "grad_norm": 2.077178562413389, + "learning_rate": 1.5282055386362116e-05, + "loss": 0.9927, + "step": 14567 + }, + { + "epoch": 0.34, + "grad_norm": 1.5837355646607352, + "learning_rate": 1.5281407460196126e-05, + "loss": 0.8162, + "step": 14568 + }, + { + "epoch": 0.34, + "grad_norm": 2.224287621937967, + "learning_rate": 1.528075950328011e-05, + "loss": 0.7782, + "step": 14569 + }, + { + "epoch": 0.34, + "grad_norm": 1.668506746399886, + "learning_rate": 1.5280111515617835e-05, + "loss": 0.9258, + "step": 14570 + }, + { + "epoch": 0.34, + "grad_norm": 2.0100121531975637, + "learning_rate": 1.527946349721308e-05, + "loss": 0.8998, + "step": 14571 + }, + { + "epoch": 0.34, + "grad_norm": 2.753900069752312, + "learning_rate": 1.5278815448069622e-05, + "loss": 0.8806, + "step": 14572 + }, + { + "epoch": 0.34, + "grad_norm": 1.4700289565866422, + "learning_rate": 1.5278167368191224e-05, + "loss": 0.9406, + "step": 14573 + }, + { + "epoch": 0.34, + "grad_norm": 1.6892375573888314, + "learning_rate": 1.5277519257581668e-05, + "loss": 0.9258, + "step": 14574 + }, + { + "epoch": 0.34, + "grad_norm": 1.4927150241047051, + "learning_rate": 1.527687111624472e-05, + "loss": 0.9843, + "step": 14575 + }, + { + "epoch": 0.34, + "grad_norm": 1.7598469486971573, + "learning_rate": 1.527622294418416e-05, + "loss": 0.7501, + "step": 14576 + }, + { + "epoch": 0.34, + "grad_norm": 1.5555431619966213, + "learning_rate": 1.5275574741403763e-05, + "loss": 0.8514, + "step": 14577 + }, + { + "epoch": 0.34, + "grad_norm": 1.6759073796231105, + "learning_rate": 1.52749265079073e-05, + "loss": 0.9207, + "step": 14578 + }, + { + "epoch": 0.34, + "grad_norm": 1.6254947272763334, + "learning_rate": 1.527427824369854e-05, + "loss": 0.8732, + "step": 14579 + }, + { + "epoch": 0.34, + "grad_norm": 1.5446485154250935, + "learning_rate": 1.5273629948781264e-05, + "loss": 1.0133, + "step": 14580 + }, + { + "epoch": 0.34, + "grad_norm": 2.3608458868519424, + "learning_rate": 1.527298162315924e-05, + "loss": 0.9088, + "step": 14581 + }, + { + "epoch": 0.34, + "grad_norm": 1.5807576837685249, + "learning_rate": 1.5272333266836256e-05, + "loss": 0.8594, + "step": 14582 + }, + { + "epoch": 0.34, + "grad_norm": 1.6281106126014533, + "learning_rate": 1.5271684879816074e-05, + "loss": 1.1067, + "step": 14583 + }, + { + "epoch": 0.34, + "grad_norm": 1.4891016086362865, + "learning_rate": 1.5271036462102472e-05, + "loss": 0.8875, + "step": 14584 + }, + { + "epoch": 0.34, + "grad_norm": 1.5908046615568636, + "learning_rate": 1.5270388013699232e-05, + "loss": 0.8859, + "step": 14585 + }, + { + "epoch": 0.34, + "grad_norm": 1.6454769635174078, + "learning_rate": 1.526973953461012e-05, + "loss": 0.9319, + "step": 14586 + }, + { + "epoch": 0.34, + "grad_norm": 1.7553160406938113, + "learning_rate": 1.526909102483892e-05, + "loss": 0.8972, + "step": 14587 + }, + { + "epoch": 0.34, + "grad_norm": 1.443433933060828, + "learning_rate": 1.52684424843894e-05, + "loss": 0.9504, + "step": 14588 + }, + { + "epoch": 0.34, + "grad_norm": 1.69035232730275, + "learning_rate": 1.5267793913265344e-05, + "loss": 0.9012, + "step": 14589 + }, + { + "epoch": 0.34, + "grad_norm": 1.7546033702937391, + "learning_rate": 1.526714531147052e-05, + "loss": 0.9409, + "step": 14590 + }, + { + "epoch": 0.34, + "grad_norm": 1.7576683839689344, + "learning_rate": 1.526649667900871e-05, + "loss": 0.8503, + "step": 14591 + }, + { + "epoch": 0.34, + "grad_norm": 1.6072877853548502, + "learning_rate": 1.5265848015883687e-05, + "loss": 0.8624, + "step": 14592 + }, + { + "epoch": 0.34, + "grad_norm": 1.6944994024642992, + "learning_rate": 1.5265199322099235e-05, + "loss": 0.8946, + "step": 14593 + }, + { + "epoch": 0.34, + "grad_norm": 0.7816249061856244, + "learning_rate": 1.5264550597659122e-05, + "loss": 0.7355, + "step": 14594 + }, + { + "epoch": 0.34, + "grad_norm": 1.5380059253226266, + "learning_rate": 1.526390184256713e-05, + "loss": 0.9897, + "step": 14595 + }, + { + "epoch": 0.34, + "grad_norm": 0.7276701868626986, + "learning_rate": 1.5263253056827032e-05, + "loss": 0.694, + "step": 14596 + }, + { + "epoch": 0.34, + "grad_norm": 1.48675163915659, + "learning_rate": 1.526260424044261e-05, + "loss": 0.995, + "step": 14597 + }, + { + "epoch": 0.34, + "grad_norm": 1.6982200527133364, + "learning_rate": 1.5261955393417643e-05, + "loss": 0.8799, + "step": 14598 + }, + { + "epoch": 0.34, + "grad_norm": 1.8048002345360032, + "learning_rate": 1.5261306515755904e-05, + "loss": 0.9398, + "step": 14599 + }, + { + "epoch": 0.34, + "grad_norm": 1.9555104828099803, + "learning_rate": 1.5260657607461167e-05, + "loss": 0.9992, + "step": 14600 + }, + { + "epoch": 0.34, + "grad_norm": 1.4645383806619996, + "learning_rate": 1.5260008668537225e-05, + "loss": 0.8992, + "step": 14601 + }, + { + "epoch": 0.34, + "grad_norm": 2.0433544324027695, + "learning_rate": 1.525935969898784e-05, + "loss": 0.7785, + "step": 14602 + }, + { + "epoch": 0.34, + "grad_norm": 1.5914629014135435, + "learning_rate": 1.52587106988168e-05, + "loss": 0.8471, + "step": 14603 + }, + { + "epoch": 0.34, + "grad_norm": 1.7350796936934623, + "learning_rate": 1.5258061668027884e-05, + "loss": 0.8495, + "step": 14604 + }, + { + "epoch": 0.34, + "grad_norm": 1.5707724604878734, + "learning_rate": 1.5257412606624868e-05, + "loss": 0.9282, + "step": 14605 + }, + { + "epoch": 0.34, + "grad_norm": 1.7259616095265182, + "learning_rate": 1.525676351461153e-05, + "loss": 0.9025, + "step": 14606 + }, + { + "epoch": 0.34, + "grad_norm": 1.7400577715915782, + "learning_rate": 1.525611439199165e-05, + "loss": 0.8648, + "step": 14607 + }, + { + "epoch": 0.34, + "grad_norm": 1.6960292873681937, + "learning_rate": 1.5255465238769009e-05, + "loss": 0.8099, + "step": 14608 + }, + { + "epoch": 0.34, + "grad_norm": 1.9079995689786076, + "learning_rate": 1.5254816054947385e-05, + "loss": 0.9375, + "step": 14609 + }, + { + "epoch": 0.34, + "grad_norm": 1.632322045880217, + "learning_rate": 1.525416684053056e-05, + "loss": 0.7621, + "step": 14610 + }, + { + "epoch": 0.34, + "grad_norm": 2.146209373619463, + "learning_rate": 1.5253517595522308e-05, + "loss": 1.0284, + "step": 14611 + }, + { + "epoch": 0.34, + "grad_norm": 1.6648516898078325, + "learning_rate": 1.5252868319926418e-05, + "loss": 0.8348, + "step": 14612 + }, + { + "epoch": 0.34, + "grad_norm": 1.6869960415169678, + "learning_rate": 1.5252219013746663e-05, + "loss": 0.9185, + "step": 14613 + }, + { + "epoch": 0.34, + "grad_norm": 1.5617680104799077, + "learning_rate": 1.5251569676986826e-05, + "loss": 0.9186, + "step": 14614 + }, + { + "epoch": 0.34, + "grad_norm": 1.8296778968120309, + "learning_rate": 1.5250920309650688e-05, + "loss": 0.9278, + "step": 14615 + }, + { + "epoch": 0.34, + "grad_norm": 1.85333739180657, + "learning_rate": 1.5250270911742031e-05, + "loss": 0.9254, + "step": 14616 + }, + { + "epoch": 0.34, + "grad_norm": 2.4313164333788766, + "learning_rate": 1.5249621483264632e-05, + "loss": 0.8999, + "step": 14617 + }, + { + "epoch": 0.34, + "grad_norm": 1.6623256389230467, + "learning_rate": 1.5248972024222277e-05, + "loss": 1.0203, + "step": 14618 + }, + { + "epoch": 0.34, + "grad_norm": 1.4730242164653833, + "learning_rate": 1.5248322534618742e-05, + "loss": 0.8255, + "step": 14619 + }, + { + "epoch": 0.34, + "grad_norm": 1.6857863880711323, + "learning_rate": 1.5247673014457815e-05, + "loss": 0.778, + "step": 14620 + }, + { + "epoch": 0.34, + "grad_norm": 1.8680276267390443, + "learning_rate": 1.5247023463743274e-05, + "loss": 0.9217, + "step": 14621 + }, + { + "epoch": 0.34, + "grad_norm": 1.587221089629546, + "learning_rate": 1.5246373882478899e-05, + "loss": 1.004, + "step": 14622 + }, + { + "epoch": 0.34, + "grad_norm": 3.600814504762379, + "learning_rate": 1.5245724270668476e-05, + "loss": 1.0136, + "step": 14623 + }, + { + "epoch": 0.34, + "grad_norm": 1.5793878835590562, + "learning_rate": 1.5245074628315786e-05, + "loss": 0.8356, + "step": 14624 + }, + { + "epoch": 0.34, + "grad_norm": 2.0557728457294706, + "learning_rate": 1.5244424955424611e-05, + "loss": 0.9254, + "step": 14625 + }, + { + "epoch": 0.34, + "grad_norm": 1.5961316701923063, + "learning_rate": 1.5243775251998729e-05, + "loss": 0.9568, + "step": 14626 + }, + { + "epoch": 0.34, + "grad_norm": 2.2459574582768065, + "learning_rate": 1.5243125518041935e-05, + "loss": 0.9005, + "step": 14627 + }, + { + "epoch": 0.34, + "grad_norm": 4.250859771208239, + "learning_rate": 1.5242475753558e-05, + "loss": 0.8589, + "step": 14628 + }, + { + "epoch": 0.34, + "grad_norm": 1.5710038502458952, + "learning_rate": 1.5241825958550712e-05, + "loss": 0.8632, + "step": 14629 + }, + { + "epoch": 0.34, + "grad_norm": 1.5929249438760427, + "learning_rate": 1.524117613302385e-05, + "loss": 0.8537, + "step": 14630 + }, + { + "epoch": 0.34, + "grad_norm": 2.3156353779397265, + "learning_rate": 1.5240526276981207e-05, + "loss": 0.938, + "step": 14631 + }, + { + "epoch": 0.34, + "grad_norm": 1.6085644910151378, + "learning_rate": 1.5239876390426558e-05, + "loss": 0.8334, + "step": 14632 + }, + { + "epoch": 0.34, + "grad_norm": 1.5754722649693813, + "learning_rate": 1.523922647336369e-05, + "loss": 0.897, + "step": 14633 + }, + { + "epoch": 0.34, + "grad_norm": 0.7843148797418129, + "learning_rate": 1.523857652579639e-05, + "loss": 0.802, + "step": 14634 + }, + { + "epoch": 0.34, + "grad_norm": 0.7611696507341426, + "learning_rate": 1.5237926547728432e-05, + "loss": 0.7246, + "step": 14635 + }, + { + "epoch": 0.34, + "grad_norm": 1.7098161435348354, + "learning_rate": 1.5237276539163613e-05, + "loss": 0.8931, + "step": 14636 + }, + { + "epoch": 0.34, + "grad_norm": 1.6243009579061267, + "learning_rate": 1.5236626500105706e-05, + "loss": 0.871, + "step": 14637 + }, + { + "epoch": 0.34, + "grad_norm": 0.7779811913785096, + "learning_rate": 1.523597643055851e-05, + "loss": 0.7346, + "step": 14638 + }, + { + "epoch": 0.34, + "grad_norm": 1.6841637873443729, + "learning_rate": 1.5235326330525794e-05, + "loss": 0.914, + "step": 14639 + }, + { + "epoch": 0.34, + "grad_norm": 1.6557845490171699, + "learning_rate": 1.5234676200011356e-05, + "loss": 0.8484, + "step": 14640 + }, + { + "epoch": 0.34, + "grad_norm": 1.8493888227135584, + "learning_rate": 1.5234026039018974e-05, + "loss": 0.9027, + "step": 14641 + }, + { + "epoch": 0.34, + "grad_norm": 0.8415954409271765, + "learning_rate": 1.5233375847552436e-05, + "loss": 0.7289, + "step": 14642 + }, + { + "epoch": 0.34, + "grad_norm": 1.7365115633714798, + "learning_rate": 1.5232725625615525e-05, + "loss": 0.9279, + "step": 14643 + }, + { + "epoch": 0.35, + "grad_norm": 2.602039311351594, + "learning_rate": 1.523207537321203e-05, + "loss": 0.9137, + "step": 14644 + }, + { + "epoch": 0.35, + "grad_norm": 1.6782557025467442, + "learning_rate": 1.5231425090345737e-05, + "loss": 0.8807, + "step": 14645 + }, + { + "epoch": 0.35, + "grad_norm": 2.0867383063970557, + "learning_rate": 1.5230774777020428e-05, + "loss": 0.9227, + "step": 14646 + }, + { + "epoch": 0.35, + "grad_norm": 1.7046829267605697, + "learning_rate": 1.5230124433239894e-05, + "loss": 0.9675, + "step": 14647 + }, + { + "epoch": 0.35, + "grad_norm": 1.5765622020830794, + "learning_rate": 1.5229474059007921e-05, + "loss": 0.9609, + "step": 14648 + }, + { + "epoch": 0.35, + "grad_norm": 0.789338786840464, + "learning_rate": 1.5228823654328292e-05, + "loss": 0.7552, + "step": 14649 + }, + { + "epoch": 0.35, + "grad_norm": 1.6169126403990193, + "learning_rate": 1.5228173219204795e-05, + "loss": 0.8392, + "step": 14650 + }, + { + "epoch": 0.35, + "grad_norm": 0.8525538750472668, + "learning_rate": 1.5227522753641222e-05, + "loss": 0.7579, + "step": 14651 + }, + { + "epoch": 0.35, + "grad_norm": 1.9766612916408575, + "learning_rate": 1.5226872257641354e-05, + "loss": 0.8907, + "step": 14652 + }, + { + "epoch": 0.35, + "grad_norm": 0.8084894909394986, + "learning_rate": 1.5226221731208984e-05, + "loss": 0.7455, + "step": 14653 + }, + { + "epoch": 0.35, + "grad_norm": 1.6983853245072036, + "learning_rate": 1.5225571174347893e-05, + "loss": 0.8667, + "step": 14654 + }, + { + "epoch": 0.35, + "grad_norm": 1.627796998112716, + "learning_rate": 1.5224920587061873e-05, + "loss": 1.0157, + "step": 14655 + }, + { + "epoch": 0.35, + "grad_norm": 1.5961797606013326, + "learning_rate": 1.5224269969354713e-05, + "loss": 0.8797, + "step": 14656 + }, + { + "epoch": 0.35, + "grad_norm": 1.710289729703263, + "learning_rate": 1.52236193212302e-05, + "loss": 0.9929, + "step": 14657 + }, + { + "epoch": 0.35, + "grad_norm": 1.4949362419211558, + "learning_rate": 1.5222968642692118e-05, + "loss": 0.9256, + "step": 14658 + }, + { + "epoch": 0.35, + "grad_norm": 1.6081309096412384, + "learning_rate": 1.5222317933744262e-05, + "loss": 0.9054, + "step": 14659 + }, + { + "epoch": 0.35, + "grad_norm": 1.5133238187485445, + "learning_rate": 1.5221667194390412e-05, + "loss": 1.0006, + "step": 14660 + }, + { + "epoch": 0.35, + "grad_norm": 1.6814563545173997, + "learning_rate": 1.522101642463437e-05, + "loss": 0.7936, + "step": 14661 + }, + { + "epoch": 0.35, + "grad_norm": 1.8191595551427826, + "learning_rate": 1.5220365624479914e-05, + "loss": 0.8607, + "step": 14662 + }, + { + "epoch": 0.35, + "grad_norm": 1.67237723814577, + "learning_rate": 1.5219714793930838e-05, + "loss": 0.7819, + "step": 14663 + }, + { + "epoch": 0.35, + "grad_norm": 1.722011427231119, + "learning_rate": 1.5219063932990927e-05, + "loss": 0.8819, + "step": 14664 + }, + { + "epoch": 0.35, + "grad_norm": 0.819079429786089, + "learning_rate": 1.5218413041663976e-05, + "loss": 0.7739, + "step": 14665 + }, + { + "epoch": 0.35, + "grad_norm": 1.6994139236206924, + "learning_rate": 1.521776211995377e-05, + "loss": 0.9486, + "step": 14666 + }, + { + "epoch": 0.35, + "grad_norm": 1.8358623497501279, + "learning_rate": 1.5217111167864102e-05, + "loss": 0.8414, + "step": 14667 + }, + { + "epoch": 0.35, + "grad_norm": 1.524218740151944, + "learning_rate": 1.5216460185398761e-05, + "loss": 0.9473, + "step": 14668 + }, + { + "epoch": 0.35, + "grad_norm": 1.38944968372484, + "learning_rate": 1.521580917256154e-05, + "loss": 0.8276, + "step": 14669 + }, + { + "epoch": 0.35, + "grad_norm": 5.957776517232428, + "learning_rate": 1.5215158129356222e-05, + "loss": 0.8137, + "step": 14670 + }, + { + "epoch": 0.35, + "grad_norm": 1.642186970944182, + "learning_rate": 1.5214507055786605e-05, + "loss": 0.8696, + "step": 14671 + }, + { + "epoch": 0.35, + "grad_norm": 1.6849762125038386, + "learning_rate": 1.5213855951856475e-05, + "loss": 0.8066, + "step": 14672 + }, + { + "epoch": 0.35, + "grad_norm": 0.7326211136987567, + "learning_rate": 1.5213204817569627e-05, + "loss": 0.6998, + "step": 14673 + }, + { + "epoch": 0.35, + "grad_norm": 1.691122301315896, + "learning_rate": 1.521255365292985e-05, + "loss": 0.942, + "step": 14674 + }, + { + "epoch": 0.35, + "grad_norm": 1.497870308700998, + "learning_rate": 1.5211902457940934e-05, + "loss": 0.9155, + "step": 14675 + }, + { + "epoch": 0.35, + "grad_norm": 1.5979660458186709, + "learning_rate": 1.5211251232606674e-05, + "loss": 0.9051, + "step": 14676 + }, + { + "epoch": 0.35, + "grad_norm": 1.842626213595112, + "learning_rate": 1.5210599976930857e-05, + "loss": 0.7976, + "step": 14677 + }, + { + "epoch": 0.35, + "grad_norm": 0.7576046951508474, + "learning_rate": 1.5209948690917282e-05, + "loss": 0.8094, + "step": 14678 + }, + { + "epoch": 0.35, + "grad_norm": 0.6792763098334955, + "learning_rate": 1.5209297374569732e-05, + "loss": 0.7508, + "step": 14679 + }, + { + "epoch": 0.35, + "grad_norm": 1.7547591938177822, + "learning_rate": 1.5208646027892005e-05, + "loss": 0.9874, + "step": 14680 + }, + { + "epoch": 0.35, + "grad_norm": 1.5754447488313015, + "learning_rate": 1.520799465088789e-05, + "loss": 0.8249, + "step": 14681 + }, + { + "epoch": 0.35, + "grad_norm": 1.58636835061238, + "learning_rate": 1.5207343243561182e-05, + "loss": 0.7418, + "step": 14682 + }, + { + "epoch": 0.35, + "grad_norm": 1.8455769060197889, + "learning_rate": 1.5206691805915674e-05, + "loss": 0.915, + "step": 14683 + }, + { + "epoch": 0.35, + "grad_norm": 1.7679020498727946, + "learning_rate": 1.5206040337955157e-05, + "loss": 0.9411, + "step": 14684 + }, + { + "epoch": 0.35, + "grad_norm": 1.5245483502028199, + "learning_rate": 1.5205388839683428e-05, + "loss": 0.9504, + "step": 14685 + }, + { + "epoch": 0.35, + "grad_norm": 1.6488945270279765, + "learning_rate": 1.5204737311104271e-05, + "loss": 0.9325, + "step": 14686 + }, + { + "epoch": 0.35, + "grad_norm": 0.7231331198889549, + "learning_rate": 1.5204085752221491e-05, + "loss": 0.7397, + "step": 14687 + }, + { + "epoch": 0.35, + "grad_norm": 1.8138546853098272, + "learning_rate": 1.5203434163038872e-05, + "loss": 0.8624, + "step": 14688 + }, + { + "epoch": 0.35, + "grad_norm": 1.5015739514087771, + "learning_rate": 1.5202782543560214e-05, + "loss": 0.9225, + "step": 14689 + }, + { + "epoch": 0.35, + "grad_norm": 1.5541886768004514, + "learning_rate": 1.520213089378931e-05, + "loss": 0.7971, + "step": 14690 + }, + { + "epoch": 0.35, + "grad_norm": 1.5823844146808688, + "learning_rate": 1.5201479213729954e-05, + "loss": 0.9082, + "step": 14691 + }, + { + "epoch": 0.35, + "grad_norm": 1.6454614550331617, + "learning_rate": 1.5200827503385935e-05, + "loss": 0.8205, + "step": 14692 + }, + { + "epoch": 0.35, + "grad_norm": 1.6066507901943803, + "learning_rate": 1.5200175762761055e-05, + "loss": 0.9138, + "step": 14693 + }, + { + "epoch": 0.35, + "grad_norm": 1.4347369601259603, + "learning_rate": 1.5199523991859107e-05, + "loss": 0.9067, + "step": 14694 + }, + { + "epoch": 0.35, + "grad_norm": 1.928697352421878, + "learning_rate": 1.519887219068388e-05, + "loss": 0.8934, + "step": 14695 + }, + { + "epoch": 0.35, + "grad_norm": 1.892572509099243, + "learning_rate": 1.5198220359239173e-05, + "loss": 0.8893, + "step": 14696 + }, + { + "epoch": 0.35, + "grad_norm": 1.5293783850151264, + "learning_rate": 1.5197568497528785e-05, + "loss": 0.9933, + "step": 14697 + }, + { + "epoch": 0.35, + "grad_norm": 1.6454131480856033, + "learning_rate": 1.5196916605556504e-05, + "loss": 0.9102, + "step": 14698 + }, + { + "epoch": 0.35, + "grad_norm": 1.9180514920113299, + "learning_rate": 1.5196264683326131e-05, + "loss": 0.9248, + "step": 14699 + }, + { + "epoch": 0.35, + "grad_norm": 1.880529903070316, + "learning_rate": 1.519561273084146e-05, + "loss": 0.939, + "step": 14700 + }, + { + "epoch": 0.35, + "grad_norm": 1.7715196985486679, + "learning_rate": 1.5194960748106287e-05, + "loss": 0.7251, + "step": 14701 + }, + { + "epoch": 0.35, + "grad_norm": 1.8839127604476846, + "learning_rate": 1.5194308735124406e-05, + "loss": 0.8778, + "step": 14702 + }, + { + "epoch": 0.35, + "grad_norm": 1.6087426214058307, + "learning_rate": 1.5193656691899618e-05, + "loss": 0.9208, + "step": 14703 + }, + { + "epoch": 0.35, + "grad_norm": 1.7441477492089243, + "learning_rate": 1.5193004618435713e-05, + "loss": 0.8784, + "step": 14704 + }, + { + "epoch": 0.35, + "grad_norm": 1.36883245258511, + "learning_rate": 1.5192352514736495e-05, + "loss": 0.9162, + "step": 14705 + }, + { + "epoch": 0.35, + "grad_norm": 0.7990455471094635, + "learning_rate": 1.5191700380805754e-05, + "loss": 0.7736, + "step": 14706 + }, + { + "epoch": 0.35, + "grad_norm": 1.5785425300389102, + "learning_rate": 1.5191048216647291e-05, + "loss": 0.8899, + "step": 14707 + }, + { + "epoch": 0.35, + "grad_norm": 1.9404984639517642, + "learning_rate": 1.5190396022264903e-05, + "loss": 0.9124, + "step": 14708 + }, + { + "epoch": 0.35, + "grad_norm": 1.5662362143043058, + "learning_rate": 1.5189743797662382e-05, + "loss": 0.9508, + "step": 14709 + }, + { + "epoch": 0.35, + "grad_norm": 1.9535259632612174, + "learning_rate": 1.5189091542843533e-05, + "loss": 1.024, + "step": 14710 + }, + { + "epoch": 0.35, + "grad_norm": 4.1508647345957375, + "learning_rate": 1.5188439257812148e-05, + "loss": 0.9293, + "step": 14711 + }, + { + "epoch": 0.35, + "grad_norm": 2.1015297227292313, + "learning_rate": 1.5187786942572032e-05, + "loss": 0.9099, + "step": 14712 + }, + { + "epoch": 0.35, + "grad_norm": 1.9194114618158393, + "learning_rate": 1.518713459712697e-05, + "loss": 0.9547, + "step": 14713 + }, + { + "epoch": 0.35, + "grad_norm": 1.8612013527363003, + "learning_rate": 1.5186482221480774e-05, + "loss": 0.7534, + "step": 14714 + }, + { + "epoch": 0.35, + "grad_norm": 1.8391852065548056, + "learning_rate": 1.5185829815637236e-05, + "loss": 0.9119, + "step": 14715 + }, + { + "epoch": 0.35, + "grad_norm": 1.9808182278114006, + "learning_rate": 1.5185177379600153e-05, + "loss": 1.001, + "step": 14716 + }, + { + "epoch": 0.35, + "grad_norm": 1.7240708600264076, + "learning_rate": 1.5184524913373326e-05, + "loss": 0.9577, + "step": 14717 + }, + { + "epoch": 0.35, + "grad_norm": 0.7651726049635701, + "learning_rate": 1.5183872416960554e-05, + "loss": 0.6925, + "step": 14718 + }, + { + "epoch": 0.35, + "grad_norm": 2.8132800204184774, + "learning_rate": 1.5183219890365638e-05, + "loss": 0.916, + "step": 14719 + }, + { + "epoch": 0.35, + "grad_norm": 1.6450155432538975, + "learning_rate": 1.5182567333592368e-05, + "loss": 0.8577, + "step": 14720 + }, + { + "epoch": 0.35, + "grad_norm": 1.7897894754770522, + "learning_rate": 1.5181914746644557e-05, + "loss": 0.7579, + "step": 14721 + }, + { + "epoch": 0.35, + "grad_norm": 1.4011475256728931, + "learning_rate": 1.5181262129525996e-05, + "loss": 0.993, + "step": 14722 + }, + { + "epoch": 0.35, + "grad_norm": 1.5343644577913234, + "learning_rate": 1.5180609482240485e-05, + "loss": 0.8649, + "step": 14723 + }, + { + "epoch": 0.35, + "grad_norm": 1.5637832667612528, + "learning_rate": 1.5179956804791826e-05, + "loss": 0.9452, + "step": 14724 + }, + { + "epoch": 0.35, + "grad_norm": 3.130405299656281, + "learning_rate": 1.517930409718382e-05, + "loss": 0.9527, + "step": 14725 + }, + { + "epoch": 0.35, + "grad_norm": 1.5385365389409684, + "learning_rate": 1.5178651359420264e-05, + "loss": 1.0143, + "step": 14726 + }, + { + "epoch": 0.35, + "grad_norm": 2.0378639467603628, + "learning_rate": 1.5177998591504963e-05, + "loss": 0.846, + "step": 14727 + }, + { + "epoch": 0.35, + "grad_norm": 1.6770347796474852, + "learning_rate": 1.517734579344171e-05, + "loss": 0.8473, + "step": 14728 + }, + { + "epoch": 0.35, + "grad_norm": 1.7624730189597304, + "learning_rate": 1.5176692965234316e-05, + "loss": 0.9382, + "step": 14729 + }, + { + "epoch": 0.35, + "grad_norm": 1.5766667956470573, + "learning_rate": 1.5176040106886574e-05, + "loss": 0.8862, + "step": 14730 + }, + { + "epoch": 0.35, + "grad_norm": 2.2157787694331903, + "learning_rate": 1.5175387218402287e-05, + "loss": 0.8686, + "step": 14731 + }, + { + "epoch": 0.35, + "grad_norm": 1.5348475784202482, + "learning_rate": 1.5174734299785259e-05, + "loss": 0.871, + "step": 14732 + }, + { + "epoch": 0.35, + "grad_norm": 1.6374478173395743, + "learning_rate": 1.5174081351039287e-05, + "loss": 0.8263, + "step": 14733 + }, + { + "epoch": 0.35, + "grad_norm": 1.7083868901387305, + "learning_rate": 1.5173428372168177e-05, + "loss": 0.9552, + "step": 14734 + }, + { + "epoch": 0.35, + "grad_norm": 2.6968933265849393, + "learning_rate": 1.5172775363175732e-05, + "loss": 0.8519, + "step": 14735 + }, + { + "epoch": 0.35, + "grad_norm": 0.7849951158092526, + "learning_rate": 1.5172122324065748e-05, + "loss": 0.7216, + "step": 14736 + }, + { + "epoch": 0.35, + "grad_norm": 1.5067810094087426, + "learning_rate": 1.5171469254842031e-05, + "loss": 0.9861, + "step": 14737 + }, + { + "epoch": 0.35, + "grad_norm": 2.2296774013056435, + "learning_rate": 1.517081615550838e-05, + "loss": 0.9523, + "step": 14738 + }, + { + "epoch": 0.35, + "grad_norm": 1.4876154081829518, + "learning_rate": 1.5170163026068602e-05, + "loss": 0.9384, + "step": 14739 + }, + { + "epoch": 0.35, + "grad_norm": 1.664154800531975, + "learning_rate": 1.5169509866526501e-05, + "loss": 0.7921, + "step": 14740 + }, + { + "epoch": 0.35, + "grad_norm": 1.5700579861861923, + "learning_rate": 1.5168856676885874e-05, + "loss": 1.004, + "step": 14741 + }, + { + "epoch": 0.35, + "grad_norm": 1.7168718809585772, + "learning_rate": 1.5168203457150527e-05, + "loss": 1.036, + "step": 14742 + }, + { + "epoch": 0.35, + "grad_norm": 1.7306826494746785, + "learning_rate": 1.5167550207324263e-05, + "loss": 0.8463, + "step": 14743 + }, + { + "epoch": 0.35, + "grad_norm": 1.8475869564423664, + "learning_rate": 1.516689692741089e-05, + "loss": 0.783, + "step": 14744 + }, + { + "epoch": 0.35, + "grad_norm": 1.6610989692091087, + "learning_rate": 1.5166243617414202e-05, + "loss": 0.8421, + "step": 14745 + }, + { + "epoch": 0.35, + "grad_norm": 1.9253421182064534, + "learning_rate": 1.5165590277338011e-05, + "loss": 0.9637, + "step": 14746 + }, + { + "epoch": 0.35, + "grad_norm": 1.5028439238645253, + "learning_rate": 1.5164936907186116e-05, + "loss": 0.8469, + "step": 14747 + }, + { + "epoch": 0.35, + "grad_norm": 2.221850027704142, + "learning_rate": 1.5164283506962326e-05, + "loss": 0.8948, + "step": 14748 + }, + { + "epoch": 0.35, + "grad_norm": 1.5439259236395322, + "learning_rate": 1.516363007667044e-05, + "loss": 0.894, + "step": 14749 + }, + { + "epoch": 0.35, + "grad_norm": 1.5723917150879172, + "learning_rate": 1.5162976616314264e-05, + "loss": 0.9046, + "step": 14750 + }, + { + "epoch": 0.35, + "grad_norm": 1.6466559161328722, + "learning_rate": 1.5162323125897604e-05, + "loss": 0.9223, + "step": 14751 + }, + { + "epoch": 0.35, + "grad_norm": 1.540466462532851, + "learning_rate": 1.5161669605424268e-05, + "loss": 0.8721, + "step": 14752 + }, + { + "epoch": 0.35, + "grad_norm": 1.6359700867971452, + "learning_rate": 1.5161016054898055e-05, + "loss": 0.7729, + "step": 14753 + }, + { + "epoch": 0.35, + "grad_norm": 1.6141417487089762, + "learning_rate": 1.5160362474322771e-05, + "loss": 1.0134, + "step": 14754 + }, + { + "epoch": 0.35, + "grad_norm": 2.059646572984295, + "learning_rate": 1.5159708863702225e-05, + "loss": 0.985, + "step": 14755 + }, + { + "epoch": 0.35, + "grad_norm": 1.7014487906282572, + "learning_rate": 1.515905522304022e-05, + "loss": 0.9642, + "step": 14756 + }, + { + "epoch": 0.35, + "grad_norm": 1.6979452259341266, + "learning_rate": 1.5158401552340562e-05, + "loss": 0.8648, + "step": 14757 + }, + { + "epoch": 0.35, + "grad_norm": 1.5201113522178173, + "learning_rate": 1.5157747851607055e-05, + "loss": 0.8506, + "step": 14758 + }, + { + "epoch": 0.35, + "grad_norm": 1.6457203565949068, + "learning_rate": 1.5157094120843512e-05, + "loss": 0.8548, + "step": 14759 + }, + { + "epoch": 0.35, + "grad_norm": 1.6963000810193383, + "learning_rate": 1.515644036005373e-05, + "loss": 0.972, + "step": 14760 + }, + { + "epoch": 0.35, + "grad_norm": 1.84770302572807, + "learning_rate": 1.5155786569241521e-05, + "loss": 0.8028, + "step": 14761 + }, + { + "epoch": 0.35, + "grad_norm": 1.77319135408749, + "learning_rate": 1.515513274841069e-05, + "loss": 0.8999, + "step": 14762 + }, + { + "epoch": 0.35, + "grad_norm": 2.0130357953768976, + "learning_rate": 1.5154478897565046e-05, + "loss": 0.8428, + "step": 14763 + }, + { + "epoch": 0.35, + "grad_norm": 2.541340814315082, + "learning_rate": 1.515382501670839e-05, + "loss": 0.8951, + "step": 14764 + }, + { + "epoch": 0.35, + "grad_norm": 2.6043821969745595, + "learning_rate": 1.5153171105844537e-05, + "loss": 0.9486, + "step": 14765 + }, + { + "epoch": 0.35, + "grad_norm": 1.8792071923812208, + "learning_rate": 1.5152517164977289e-05, + "loss": 0.8804, + "step": 14766 + }, + { + "epoch": 0.35, + "grad_norm": 1.7214604335743473, + "learning_rate": 1.5151863194110455e-05, + "loss": 0.9587, + "step": 14767 + }, + { + "epoch": 0.35, + "grad_norm": 1.6294489928381328, + "learning_rate": 1.515120919324784e-05, + "loss": 0.9126, + "step": 14768 + }, + { + "epoch": 0.35, + "grad_norm": 1.5236431200466465, + "learning_rate": 1.5150555162393254e-05, + "loss": 1.0114, + "step": 14769 + }, + { + "epoch": 0.35, + "grad_norm": 1.6400670110473146, + "learning_rate": 1.514990110155051e-05, + "loss": 0.9617, + "step": 14770 + }, + { + "epoch": 0.35, + "grad_norm": 1.5653055822149033, + "learning_rate": 1.5149247010723409e-05, + "loss": 0.7619, + "step": 14771 + }, + { + "epoch": 0.35, + "grad_norm": 1.5077525086231924, + "learning_rate": 1.5148592889915763e-05, + "loss": 0.8619, + "step": 14772 + }, + { + "epoch": 0.35, + "grad_norm": 1.5089925154488433, + "learning_rate": 1.5147938739131375e-05, + "loss": 0.9352, + "step": 14773 + }, + { + "epoch": 0.35, + "grad_norm": 1.6750376223448002, + "learning_rate": 1.5147284558374062e-05, + "loss": 0.9117, + "step": 14774 + }, + { + "epoch": 0.35, + "grad_norm": 1.4814055634090277, + "learning_rate": 1.5146630347647628e-05, + "loss": 0.9607, + "step": 14775 + }, + { + "epoch": 0.35, + "grad_norm": 1.5901638822694444, + "learning_rate": 1.5145976106955882e-05, + "loss": 0.9013, + "step": 14776 + }, + { + "epoch": 0.35, + "grad_norm": 1.6490143526088619, + "learning_rate": 1.5145321836302635e-05, + "loss": 1.0202, + "step": 14777 + }, + { + "epoch": 0.35, + "grad_norm": 1.8491516528004368, + "learning_rate": 1.5144667535691694e-05, + "loss": 0.8136, + "step": 14778 + }, + { + "epoch": 0.35, + "grad_norm": 1.8210242793885651, + "learning_rate": 1.5144013205126868e-05, + "loss": 0.9371, + "step": 14779 + }, + { + "epoch": 0.35, + "grad_norm": 1.5223847493113931, + "learning_rate": 1.5143358844611973e-05, + "loss": 0.9411, + "step": 14780 + }, + { + "epoch": 0.35, + "grad_norm": 0.779216560362211, + "learning_rate": 1.5142704454150812e-05, + "loss": 0.7449, + "step": 14781 + }, + { + "epoch": 0.35, + "grad_norm": 1.646308913245149, + "learning_rate": 1.5142050033747197e-05, + "loss": 0.9602, + "step": 14782 + }, + { + "epoch": 0.35, + "grad_norm": 2.255567808410833, + "learning_rate": 1.5141395583404939e-05, + "loss": 0.8356, + "step": 14783 + }, + { + "epoch": 0.35, + "grad_norm": 0.8287164191762177, + "learning_rate": 1.5140741103127848e-05, + "loss": 0.7246, + "step": 14784 + }, + { + "epoch": 0.35, + "grad_norm": 2.0154982206443117, + "learning_rate": 1.5140086592919735e-05, + "loss": 0.9081, + "step": 14785 + }, + { + "epoch": 0.35, + "grad_norm": 1.6373816688424716, + "learning_rate": 1.513943205278441e-05, + "loss": 0.9131, + "step": 14786 + }, + { + "epoch": 0.35, + "grad_norm": 0.7746679849875656, + "learning_rate": 1.5138777482725688e-05, + "loss": 0.7312, + "step": 14787 + }, + { + "epoch": 0.35, + "grad_norm": 1.697465260217285, + "learning_rate": 1.5138122882747373e-05, + "loss": 0.9838, + "step": 14788 + }, + { + "epoch": 0.35, + "grad_norm": 0.8352903803685976, + "learning_rate": 1.513746825285328e-05, + "loss": 0.74, + "step": 14789 + }, + { + "epoch": 0.35, + "grad_norm": 1.5308240054963367, + "learning_rate": 1.5136813593047222e-05, + "loss": 0.886, + "step": 14790 + }, + { + "epoch": 0.35, + "grad_norm": 1.6167462643842534, + "learning_rate": 1.5136158903333007e-05, + "loss": 0.9207, + "step": 14791 + }, + { + "epoch": 0.35, + "grad_norm": 2.0878779280847874, + "learning_rate": 1.5135504183714448e-05, + "loss": 1.0937, + "step": 14792 + }, + { + "epoch": 0.35, + "grad_norm": 1.975987853900475, + "learning_rate": 1.5134849434195362e-05, + "loss": 0.8621, + "step": 14793 + }, + { + "epoch": 0.35, + "grad_norm": 1.7176638171636915, + "learning_rate": 1.5134194654779555e-05, + "loss": 0.8442, + "step": 14794 + }, + { + "epoch": 0.35, + "grad_norm": 0.7560151063560142, + "learning_rate": 1.5133539845470839e-05, + "loss": 0.695, + "step": 14795 + }, + { + "epoch": 0.35, + "grad_norm": 1.5964268313194927, + "learning_rate": 1.5132885006273032e-05, + "loss": 0.9809, + "step": 14796 + }, + { + "epoch": 0.35, + "grad_norm": 1.7842770127218683, + "learning_rate": 1.5132230137189941e-05, + "loss": 0.8901, + "step": 14797 + }, + { + "epoch": 0.35, + "grad_norm": 1.687739018739146, + "learning_rate": 1.5131575238225385e-05, + "loss": 0.8963, + "step": 14798 + }, + { + "epoch": 0.35, + "grad_norm": 2.482793989835164, + "learning_rate": 1.5130920309383167e-05, + "loss": 0.9182, + "step": 14799 + }, + { + "epoch": 0.35, + "grad_norm": 1.5588543168130764, + "learning_rate": 1.5130265350667111e-05, + "loss": 0.9773, + "step": 14800 + }, + { + "epoch": 0.35, + "grad_norm": 1.808615214480386, + "learning_rate": 1.5129610362081027e-05, + "loss": 0.7365, + "step": 14801 + }, + { + "epoch": 0.35, + "grad_norm": 1.7943438158477898, + "learning_rate": 1.5128955343628724e-05, + "loss": 0.91, + "step": 14802 + }, + { + "epoch": 0.35, + "grad_norm": 1.8528543556458144, + "learning_rate": 1.5128300295314021e-05, + "loss": 0.7571, + "step": 14803 + }, + { + "epoch": 0.35, + "grad_norm": 1.5868177193409918, + "learning_rate": 1.512764521714073e-05, + "loss": 0.8445, + "step": 14804 + }, + { + "epoch": 0.35, + "grad_norm": 1.7402261298217903, + "learning_rate": 1.5126990109112665e-05, + "loss": 0.7446, + "step": 14805 + }, + { + "epoch": 0.35, + "grad_norm": 1.8156850094634955, + "learning_rate": 1.512633497123364e-05, + "loss": 0.9756, + "step": 14806 + }, + { + "epoch": 0.35, + "grad_norm": 1.6516987113857016, + "learning_rate": 1.5125679803507472e-05, + "loss": 1.0002, + "step": 14807 + }, + { + "epoch": 0.35, + "grad_norm": 1.5508581227724154, + "learning_rate": 1.512502460593797e-05, + "loss": 0.8496, + "step": 14808 + }, + { + "epoch": 0.35, + "grad_norm": 1.7856103539423243, + "learning_rate": 1.5124369378528954e-05, + "loss": 0.8526, + "step": 14809 + }, + { + "epoch": 0.35, + "grad_norm": 1.5345369924507308, + "learning_rate": 1.512371412128424e-05, + "loss": 1.022, + "step": 14810 + }, + { + "epoch": 0.35, + "grad_norm": 1.7861748857956503, + "learning_rate": 1.5123058834207633e-05, + "loss": 0.9015, + "step": 14811 + }, + { + "epoch": 0.35, + "grad_norm": 1.661996926263367, + "learning_rate": 1.5122403517302964e-05, + "loss": 0.8822, + "step": 14812 + }, + { + "epoch": 0.35, + "grad_norm": 1.6100184591370008, + "learning_rate": 1.512174817057403e-05, + "loss": 0.8228, + "step": 14813 + }, + { + "epoch": 0.35, + "grad_norm": 1.6868658789435462, + "learning_rate": 1.5121092794024668e-05, + "loss": 0.8796, + "step": 14814 + }, + { + "epoch": 0.35, + "grad_norm": 1.6153387872149787, + "learning_rate": 1.5120437387658675e-05, + "loss": 0.9962, + "step": 14815 + }, + { + "epoch": 0.35, + "grad_norm": 1.5332026508013181, + "learning_rate": 1.5119781951479877e-05, + "loss": 0.9913, + "step": 14816 + }, + { + "epoch": 0.35, + "grad_norm": 1.4718743650878017, + "learning_rate": 1.5119126485492086e-05, + "loss": 0.8442, + "step": 14817 + }, + { + "epoch": 0.35, + "grad_norm": 0.8048813995186586, + "learning_rate": 1.5118470989699119e-05, + "loss": 0.7416, + "step": 14818 + }, + { + "epoch": 0.35, + "grad_norm": 1.6776485939343644, + "learning_rate": 1.5117815464104797e-05, + "loss": 0.844, + "step": 14819 + }, + { + "epoch": 0.35, + "grad_norm": 1.7078127952461017, + "learning_rate": 1.5117159908712929e-05, + "loss": 0.8863, + "step": 14820 + }, + { + "epoch": 0.35, + "grad_norm": 1.67431043557134, + "learning_rate": 1.511650432352734e-05, + "loss": 0.7567, + "step": 14821 + }, + { + "epoch": 0.35, + "grad_norm": 1.7794572968755316, + "learning_rate": 1.511584870855184e-05, + "loss": 0.9131, + "step": 14822 + }, + { + "epoch": 0.35, + "grad_norm": 2.0294518901474117, + "learning_rate": 1.5115193063790253e-05, + "loss": 0.9744, + "step": 14823 + }, + { + "epoch": 0.35, + "grad_norm": 1.518638887382421, + "learning_rate": 1.5114537389246388e-05, + "loss": 0.9346, + "step": 14824 + }, + { + "epoch": 0.35, + "grad_norm": 1.6070874908619264, + "learning_rate": 1.511388168492407e-05, + "loss": 1.0214, + "step": 14825 + }, + { + "epoch": 0.35, + "grad_norm": 1.7257531353886013, + "learning_rate": 1.511322595082711e-05, + "loss": 0.8172, + "step": 14826 + }, + { + "epoch": 0.35, + "grad_norm": 0.8076378934701361, + "learning_rate": 1.5112570186959334e-05, + "loss": 0.7855, + "step": 14827 + }, + { + "epoch": 0.35, + "grad_norm": 1.4826421818591295, + "learning_rate": 1.5111914393324553e-05, + "loss": 0.9224, + "step": 14828 + }, + { + "epoch": 0.35, + "grad_norm": 1.8534335337685297, + "learning_rate": 1.511125856992659e-05, + "loss": 0.8195, + "step": 14829 + }, + { + "epoch": 0.35, + "grad_norm": 1.6367128938153923, + "learning_rate": 1.511060271676926e-05, + "loss": 0.9453, + "step": 14830 + }, + { + "epoch": 0.35, + "grad_norm": 1.9606028621764857, + "learning_rate": 1.5109946833856386e-05, + "loss": 0.8359, + "step": 14831 + }, + { + "epoch": 0.35, + "grad_norm": 1.802195893715436, + "learning_rate": 1.510929092119178e-05, + "loss": 0.817, + "step": 14832 + }, + { + "epoch": 0.35, + "grad_norm": 0.7608607764648693, + "learning_rate": 1.5108634978779267e-05, + "loss": 0.7396, + "step": 14833 + }, + { + "epoch": 0.35, + "grad_norm": 1.7376264996914552, + "learning_rate": 1.5107979006622662e-05, + "loss": 0.8733, + "step": 14834 + }, + { + "epoch": 0.35, + "grad_norm": 1.6162363897074137, + "learning_rate": 1.5107323004725786e-05, + "loss": 0.9289, + "step": 14835 + }, + { + "epoch": 0.35, + "grad_norm": 0.819506695236646, + "learning_rate": 1.510666697309246e-05, + "loss": 0.7892, + "step": 14836 + }, + { + "epoch": 0.35, + "grad_norm": 2.3276812234760644, + "learning_rate": 1.5106010911726501e-05, + "loss": 0.9003, + "step": 14837 + }, + { + "epoch": 0.35, + "grad_norm": 1.4811379658475665, + "learning_rate": 1.5105354820631732e-05, + "loss": 0.9397, + "step": 14838 + }, + { + "epoch": 0.35, + "grad_norm": 1.8084643260646662, + "learning_rate": 1.5104698699811968e-05, + "loss": 0.9426, + "step": 14839 + }, + { + "epoch": 0.35, + "grad_norm": 1.985994569240437, + "learning_rate": 1.5104042549271033e-05, + "loss": 0.7639, + "step": 14840 + }, + { + "epoch": 0.35, + "grad_norm": 1.5932554592453274, + "learning_rate": 1.5103386369012746e-05, + "loss": 0.9296, + "step": 14841 + }, + { + "epoch": 0.35, + "grad_norm": 1.4800447177407658, + "learning_rate": 1.510273015904093e-05, + "loss": 0.9182, + "step": 14842 + }, + { + "epoch": 0.35, + "grad_norm": 1.7521631957870814, + "learning_rate": 1.5102073919359402e-05, + "loss": 0.9119, + "step": 14843 + }, + { + "epoch": 0.35, + "grad_norm": 1.4530445058336638, + "learning_rate": 1.5101417649971986e-05, + "loss": 0.8854, + "step": 14844 + }, + { + "epoch": 0.35, + "grad_norm": 1.6594998263494347, + "learning_rate": 1.51007613508825e-05, + "loss": 1.0324, + "step": 14845 + }, + { + "epoch": 0.35, + "grad_norm": 1.743784980020901, + "learning_rate": 1.5100105022094766e-05, + "loss": 0.8162, + "step": 14846 + }, + { + "epoch": 0.35, + "grad_norm": 2.508380529094082, + "learning_rate": 1.5099448663612605e-05, + "loss": 0.8544, + "step": 14847 + }, + { + "epoch": 0.35, + "grad_norm": 1.4054069081835348, + "learning_rate": 1.5098792275439842e-05, + "loss": 0.8467, + "step": 14848 + }, + { + "epoch": 0.35, + "grad_norm": 3.520848584315485, + "learning_rate": 1.5098135857580296e-05, + "loss": 1.0202, + "step": 14849 + }, + { + "epoch": 0.35, + "grad_norm": 1.863353496145302, + "learning_rate": 1.5097479410037787e-05, + "loss": 0.8614, + "step": 14850 + }, + { + "epoch": 0.35, + "grad_norm": 1.7470358317389854, + "learning_rate": 1.509682293281614e-05, + "loss": 0.925, + "step": 14851 + }, + { + "epoch": 0.35, + "grad_norm": 2.0729604415416336, + "learning_rate": 1.5096166425919176e-05, + "loss": 0.881, + "step": 14852 + }, + { + "epoch": 0.35, + "grad_norm": 1.9269006395113135, + "learning_rate": 1.5095509889350716e-05, + "loss": 0.7726, + "step": 14853 + }, + { + "epoch": 0.35, + "grad_norm": 1.6183175366965796, + "learning_rate": 1.5094853323114587e-05, + "loss": 0.8512, + "step": 14854 + }, + { + "epoch": 0.35, + "grad_norm": 1.739188731938509, + "learning_rate": 1.5094196727214607e-05, + "loss": 0.8843, + "step": 14855 + }, + { + "epoch": 0.35, + "grad_norm": 1.905816796204148, + "learning_rate": 1.5093540101654602e-05, + "loss": 1.028, + "step": 14856 + }, + { + "epoch": 0.35, + "grad_norm": 1.5851471244233013, + "learning_rate": 1.5092883446438396e-05, + "loss": 0.8933, + "step": 14857 + }, + { + "epoch": 0.35, + "grad_norm": 2.224065965784221, + "learning_rate": 1.5092226761569805e-05, + "loss": 0.8247, + "step": 14858 + }, + { + "epoch": 0.35, + "grad_norm": 2.213778693828256, + "learning_rate": 1.5091570047052666e-05, + "loss": 0.9749, + "step": 14859 + }, + { + "epoch": 0.35, + "grad_norm": 1.580702961497319, + "learning_rate": 1.5090913302890786e-05, + "loss": 0.9546, + "step": 14860 + }, + { + "epoch": 0.35, + "grad_norm": 1.5873507809712963, + "learning_rate": 1.5090256529088e-05, + "loss": 0.8695, + "step": 14861 + }, + { + "epoch": 0.35, + "grad_norm": 1.5574405058556269, + "learning_rate": 1.5089599725648128e-05, + "loss": 0.9613, + "step": 14862 + }, + { + "epoch": 0.35, + "grad_norm": 1.5677969314923212, + "learning_rate": 1.5088942892574995e-05, + "loss": 0.8685, + "step": 14863 + }, + { + "epoch": 0.35, + "grad_norm": 1.737632582750886, + "learning_rate": 1.5088286029872427e-05, + "loss": 0.8548, + "step": 14864 + }, + { + "epoch": 0.35, + "grad_norm": 1.8437293433390018, + "learning_rate": 1.5087629137544246e-05, + "loss": 0.8217, + "step": 14865 + }, + { + "epoch": 0.35, + "grad_norm": 1.657833503818368, + "learning_rate": 1.508697221559428e-05, + "loss": 0.9829, + "step": 14866 + }, + { + "epoch": 0.35, + "grad_norm": 1.542702616207925, + "learning_rate": 1.5086315264026345e-05, + "loss": 0.9214, + "step": 14867 + }, + { + "epoch": 0.35, + "grad_norm": 1.8686539682601035, + "learning_rate": 1.5085658282844278e-05, + "loss": 1.0039, + "step": 14868 + }, + { + "epoch": 0.35, + "grad_norm": 1.776314898219905, + "learning_rate": 1.5085001272051893e-05, + "loss": 0.8919, + "step": 14869 + }, + { + "epoch": 0.35, + "grad_norm": 2.3419323762866946, + "learning_rate": 1.5084344231653027e-05, + "loss": 0.9912, + "step": 14870 + }, + { + "epoch": 0.35, + "grad_norm": 1.8048657378886093, + "learning_rate": 1.5083687161651495e-05, + "loss": 0.8767, + "step": 14871 + }, + { + "epoch": 0.35, + "grad_norm": 1.4656221445749134, + "learning_rate": 1.508303006205113e-05, + "loss": 0.7705, + "step": 14872 + }, + { + "epoch": 0.35, + "grad_norm": 1.5215355172211151, + "learning_rate": 1.5082372932855753e-05, + "loss": 0.9094, + "step": 14873 + }, + { + "epoch": 0.35, + "grad_norm": 0.7853828770028041, + "learning_rate": 1.5081715774069191e-05, + "loss": 0.7483, + "step": 14874 + }, + { + "epoch": 0.35, + "grad_norm": 1.4654959424427558, + "learning_rate": 1.5081058585695272e-05, + "loss": 1.0384, + "step": 14875 + }, + { + "epoch": 0.35, + "grad_norm": 1.9698781576229316, + "learning_rate": 1.508040136773782e-05, + "loss": 0.8079, + "step": 14876 + }, + { + "epoch": 0.35, + "grad_norm": 1.8331432343630727, + "learning_rate": 1.5079744120200663e-05, + "loss": 1.0064, + "step": 14877 + }, + { + "epoch": 0.35, + "grad_norm": 1.6559880451266087, + "learning_rate": 1.5079086843087626e-05, + "loss": 0.9375, + "step": 14878 + }, + { + "epoch": 0.35, + "grad_norm": 0.7502102494498553, + "learning_rate": 1.507842953640254e-05, + "loss": 0.7582, + "step": 14879 + }, + { + "epoch": 0.35, + "grad_norm": 2.7131294590203776, + "learning_rate": 1.507777220014923e-05, + "loss": 0.8991, + "step": 14880 + }, + { + "epoch": 0.35, + "grad_norm": 1.9830743083380975, + "learning_rate": 1.5077114834331524e-05, + "loss": 0.8036, + "step": 14881 + }, + { + "epoch": 0.35, + "grad_norm": 2.0719356397864495, + "learning_rate": 1.5076457438953242e-05, + "loss": 0.8836, + "step": 14882 + }, + { + "epoch": 0.35, + "grad_norm": 1.9031187009463697, + "learning_rate": 1.5075800014018223e-05, + "loss": 0.8077, + "step": 14883 + }, + { + "epoch": 0.35, + "grad_norm": 1.8407815711285587, + "learning_rate": 1.5075142559530287e-05, + "loss": 0.7876, + "step": 14884 + }, + { + "epoch": 0.35, + "grad_norm": 1.484447231229328, + "learning_rate": 1.5074485075493263e-05, + "loss": 0.9563, + "step": 14885 + }, + { + "epoch": 0.35, + "grad_norm": 1.6696362006900276, + "learning_rate": 1.5073827561910983e-05, + "loss": 0.8361, + "step": 14886 + }, + { + "epoch": 0.35, + "grad_norm": 1.60265187461225, + "learning_rate": 1.5073170018787272e-05, + "loss": 0.9447, + "step": 14887 + }, + { + "epoch": 0.35, + "grad_norm": 0.7768968986053241, + "learning_rate": 1.5072512446125958e-05, + "loss": 0.7067, + "step": 14888 + }, + { + "epoch": 0.35, + "grad_norm": 0.7759506870276777, + "learning_rate": 1.5071854843930873e-05, + "loss": 0.7143, + "step": 14889 + }, + { + "epoch": 0.35, + "grad_norm": 1.5193819868158775, + "learning_rate": 1.5071197212205842e-05, + "loss": 0.8676, + "step": 14890 + }, + { + "epoch": 0.35, + "grad_norm": 1.4739845847178867, + "learning_rate": 1.5070539550954696e-05, + "loss": 0.8807, + "step": 14891 + }, + { + "epoch": 0.35, + "grad_norm": 1.8029158418134548, + "learning_rate": 1.5069881860181261e-05, + "loss": 0.941, + "step": 14892 + }, + { + "epoch": 0.35, + "grad_norm": 2.212018495845884, + "learning_rate": 1.5069224139889372e-05, + "loss": 0.9256, + "step": 14893 + }, + { + "epoch": 0.35, + "grad_norm": 1.6644263511077244, + "learning_rate": 1.506856639008285e-05, + "loss": 0.8012, + "step": 14894 + }, + { + "epoch": 0.35, + "grad_norm": 0.7770415897182027, + "learning_rate": 1.5067908610765536e-05, + "loss": 0.7406, + "step": 14895 + }, + { + "epoch": 0.35, + "grad_norm": 1.5621370656610412, + "learning_rate": 1.506725080194125e-05, + "loss": 0.9948, + "step": 14896 + }, + { + "epoch": 0.35, + "grad_norm": 2.2651327754862334, + "learning_rate": 1.5066592963613826e-05, + "loss": 0.8897, + "step": 14897 + }, + { + "epoch": 0.35, + "grad_norm": 1.682127033590401, + "learning_rate": 1.5065935095787093e-05, + "loss": 0.8428, + "step": 14898 + }, + { + "epoch": 0.35, + "grad_norm": 1.7141053123664671, + "learning_rate": 1.5065277198464885e-05, + "loss": 0.9487, + "step": 14899 + }, + { + "epoch": 0.35, + "grad_norm": 1.6908751184916118, + "learning_rate": 1.5064619271651027e-05, + "loss": 0.8963, + "step": 14900 + }, + { + "epoch": 0.35, + "grad_norm": 1.7013420943383744, + "learning_rate": 1.5063961315349352e-05, + "loss": 0.9497, + "step": 14901 + }, + { + "epoch": 0.35, + "grad_norm": 1.7774595842664023, + "learning_rate": 1.5063303329563693e-05, + "loss": 0.9052, + "step": 14902 + }, + { + "epoch": 0.35, + "grad_norm": 2.12776217568858, + "learning_rate": 1.5062645314297877e-05, + "loss": 0.853, + "step": 14903 + }, + { + "epoch": 0.35, + "grad_norm": 1.6949975488485303, + "learning_rate": 1.5061987269555735e-05, + "loss": 0.8834, + "step": 14904 + }, + { + "epoch": 0.35, + "grad_norm": 1.6604004037711502, + "learning_rate": 1.5061329195341105e-05, + "loss": 0.8842, + "step": 14905 + }, + { + "epoch": 0.35, + "grad_norm": 1.644709225183442, + "learning_rate": 1.5060671091657813e-05, + "loss": 0.9678, + "step": 14906 + }, + { + "epoch": 0.35, + "grad_norm": 1.6954207149590135, + "learning_rate": 1.506001295850969e-05, + "loss": 0.9662, + "step": 14907 + }, + { + "epoch": 0.35, + "grad_norm": 1.7971245134238603, + "learning_rate": 1.5059354795900571e-05, + "loss": 0.8326, + "step": 14908 + }, + { + "epoch": 0.35, + "grad_norm": 1.6577797507611673, + "learning_rate": 1.5058696603834287e-05, + "loss": 0.8804, + "step": 14909 + }, + { + "epoch": 0.35, + "grad_norm": 1.6154511954784954, + "learning_rate": 1.5058038382314673e-05, + "loss": 0.8517, + "step": 14910 + }, + { + "epoch": 0.35, + "grad_norm": 1.9237419865840635, + "learning_rate": 1.505738013134555e-05, + "loss": 0.8131, + "step": 14911 + }, + { + "epoch": 0.35, + "grad_norm": 0.9050864533840263, + "learning_rate": 1.5056721850930766e-05, + "loss": 0.8017, + "step": 14912 + }, + { + "epoch": 0.35, + "grad_norm": 1.6748705907289172, + "learning_rate": 1.505606354107414e-05, + "loss": 0.8095, + "step": 14913 + }, + { + "epoch": 0.35, + "grad_norm": 1.6841351505417426, + "learning_rate": 1.5055405201779518e-05, + "loss": 0.7638, + "step": 14914 + }, + { + "epoch": 0.35, + "grad_norm": 1.6782187993030548, + "learning_rate": 1.5054746833050721e-05, + "loss": 0.846, + "step": 14915 + }, + { + "epoch": 0.35, + "grad_norm": 1.704593253180078, + "learning_rate": 1.505408843489159e-05, + "loss": 0.9694, + "step": 14916 + }, + { + "epoch": 0.35, + "grad_norm": 1.6694970452187932, + "learning_rate": 1.5053430007305958e-05, + "loss": 0.8752, + "step": 14917 + }, + { + "epoch": 0.35, + "grad_norm": 1.5671941610804876, + "learning_rate": 1.5052771550297651e-05, + "loss": 0.9361, + "step": 14918 + }, + { + "epoch": 0.35, + "grad_norm": 1.7919687030835925, + "learning_rate": 1.5052113063870514e-05, + "loss": 0.8539, + "step": 14919 + }, + { + "epoch": 0.35, + "grad_norm": 2.4111178991375866, + "learning_rate": 1.5051454548028373e-05, + "loss": 0.8449, + "step": 14920 + }, + { + "epoch": 0.35, + "grad_norm": 1.5215742066476399, + "learning_rate": 1.5050796002775065e-05, + "loss": 0.7911, + "step": 14921 + }, + { + "epoch": 0.35, + "grad_norm": 1.5589795292095225, + "learning_rate": 1.5050137428114422e-05, + "loss": 0.903, + "step": 14922 + }, + { + "epoch": 0.35, + "grad_norm": 1.566176387423712, + "learning_rate": 1.5049478824050282e-05, + "loss": 0.9568, + "step": 14923 + }, + { + "epoch": 0.35, + "grad_norm": 1.608220546376197, + "learning_rate": 1.5048820190586478e-05, + "loss": 1.0178, + "step": 14924 + }, + { + "epoch": 0.35, + "grad_norm": 1.529182326797057, + "learning_rate": 1.5048161527726843e-05, + "loss": 0.8554, + "step": 14925 + }, + { + "epoch": 0.35, + "grad_norm": 1.8367682194022248, + "learning_rate": 1.5047502835475211e-05, + "loss": 0.9355, + "step": 14926 + }, + { + "epoch": 0.35, + "grad_norm": 1.603417597845634, + "learning_rate": 1.5046844113835426e-05, + "loss": 0.9761, + "step": 14927 + }, + { + "epoch": 0.35, + "grad_norm": 2.057362752935415, + "learning_rate": 1.504618536281131e-05, + "loss": 0.9526, + "step": 14928 + }, + { + "epoch": 0.35, + "grad_norm": 1.5985869119134624, + "learning_rate": 1.5045526582406708e-05, + "loss": 0.8498, + "step": 14929 + }, + { + "epoch": 0.35, + "grad_norm": 1.822108149943226, + "learning_rate": 1.5044867772625455e-05, + "loss": 0.9578, + "step": 14930 + }, + { + "epoch": 0.35, + "grad_norm": 2.8965795800188476, + "learning_rate": 1.5044208933471383e-05, + "loss": 0.9026, + "step": 14931 + }, + { + "epoch": 0.35, + "grad_norm": 1.657350729110526, + "learning_rate": 1.5043550064948327e-05, + "loss": 0.7632, + "step": 14932 + }, + { + "epoch": 0.35, + "grad_norm": 1.7706459678489983, + "learning_rate": 1.504289116706013e-05, + "loss": 0.9481, + "step": 14933 + }, + { + "epoch": 0.35, + "grad_norm": 1.8173491890679239, + "learning_rate": 1.5042232239810618e-05, + "loss": 0.9095, + "step": 14934 + }, + { + "epoch": 0.35, + "grad_norm": 1.8813606335890116, + "learning_rate": 1.5041573283203641e-05, + "loss": 0.9362, + "step": 14935 + }, + { + "epoch": 0.35, + "grad_norm": 1.8343839292668374, + "learning_rate": 1.5040914297243023e-05, + "loss": 0.9381, + "step": 14936 + }, + { + "epoch": 0.35, + "grad_norm": 1.638680500280905, + "learning_rate": 1.5040255281932608e-05, + "loss": 0.958, + "step": 14937 + }, + { + "epoch": 0.35, + "grad_norm": 1.8440318287783795, + "learning_rate": 1.5039596237276234e-05, + "loss": 0.8042, + "step": 14938 + }, + { + "epoch": 0.35, + "grad_norm": 1.5108940414066023, + "learning_rate": 1.5038937163277729e-05, + "loss": 0.8336, + "step": 14939 + }, + { + "epoch": 0.35, + "grad_norm": 0.7689494158025446, + "learning_rate": 1.503827805994094e-05, + "loss": 0.793, + "step": 14940 + }, + { + "epoch": 0.35, + "grad_norm": 1.6373446320782865, + "learning_rate": 1.50376189272697e-05, + "loss": 0.9046, + "step": 14941 + }, + { + "epoch": 0.35, + "grad_norm": 1.6415416363288464, + "learning_rate": 1.5036959765267852e-05, + "loss": 0.8671, + "step": 14942 + }, + { + "epoch": 0.35, + "grad_norm": 1.954530939447006, + "learning_rate": 1.5036300573939224e-05, + "loss": 0.8355, + "step": 14943 + }, + { + "epoch": 0.35, + "grad_norm": 1.5497096296174517, + "learning_rate": 1.5035641353287662e-05, + "loss": 0.8571, + "step": 14944 + }, + { + "epoch": 0.35, + "grad_norm": 1.707510835955016, + "learning_rate": 1.5034982103317001e-05, + "loss": 0.8142, + "step": 14945 + }, + { + "epoch": 0.35, + "grad_norm": 1.6932815929676874, + "learning_rate": 1.5034322824031083e-05, + "loss": 0.989, + "step": 14946 + }, + { + "epoch": 0.35, + "grad_norm": 1.6919611079326613, + "learning_rate": 1.5033663515433738e-05, + "loss": 0.8858, + "step": 14947 + }, + { + "epoch": 0.35, + "grad_norm": 1.5247491043608916, + "learning_rate": 1.5033004177528816e-05, + "loss": 0.8999, + "step": 14948 + }, + { + "epoch": 0.35, + "grad_norm": 1.5257418679308057, + "learning_rate": 1.5032344810320148e-05, + "loss": 0.8159, + "step": 14949 + }, + { + "epoch": 0.35, + "grad_norm": 1.6489071978396457, + "learning_rate": 1.5031685413811574e-05, + "loss": 0.899, + "step": 14950 + }, + { + "epoch": 0.35, + "grad_norm": 1.8350002194588177, + "learning_rate": 1.5031025988006935e-05, + "loss": 1.0216, + "step": 14951 + }, + { + "epoch": 0.35, + "grad_norm": 1.6213924343927657, + "learning_rate": 1.503036653291007e-05, + "loss": 0.9908, + "step": 14952 + }, + { + "epoch": 0.35, + "grad_norm": 1.6060304020580538, + "learning_rate": 1.502970704852482e-05, + "loss": 0.8891, + "step": 14953 + }, + { + "epoch": 0.35, + "grad_norm": 1.8836468487768108, + "learning_rate": 1.502904753485502e-05, + "loss": 0.9051, + "step": 14954 + }, + { + "epoch": 0.35, + "grad_norm": 1.6541556137543394, + "learning_rate": 1.5028387991904517e-05, + "loss": 1.0335, + "step": 14955 + }, + { + "epoch": 0.35, + "grad_norm": 1.6256725292656524, + "learning_rate": 1.5027728419677146e-05, + "loss": 0.9285, + "step": 14956 + }, + { + "epoch": 0.35, + "grad_norm": 1.7423753454544986, + "learning_rate": 1.5027068818176747e-05, + "loss": 0.805, + "step": 14957 + }, + { + "epoch": 0.35, + "grad_norm": 1.4850687308721795, + "learning_rate": 1.502640918740716e-05, + "loss": 0.9426, + "step": 14958 + }, + { + "epoch": 0.35, + "grad_norm": 1.9011468234913935, + "learning_rate": 1.502574952737223e-05, + "loss": 0.868, + "step": 14959 + }, + { + "epoch": 0.35, + "grad_norm": 1.7836964788215954, + "learning_rate": 1.5025089838075797e-05, + "loss": 0.924, + "step": 14960 + }, + { + "epoch": 0.35, + "grad_norm": 1.6320565771060036, + "learning_rate": 1.50244301195217e-05, + "loss": 0.9224, + "step": 14961 + }, + { + "epoch": 0.35, + "grad_norm": 1.572906457023171, + "learning_rate": 1.5023770371713778e-05, + "loss": 1.0543, + "step": 14962 + }, + { + "epoch": 0.35, + "grad_norm": 1.4322134845927408, + "learning_rate": 1.5023110594655875e-05, + "loss": 0.8447, + "step": 14963 + }, + { + "epoch": 0.35, + "grad_norm": 1.7225623532476197, + "learning_rate": 1.5022450788351828e-05, + "loss": 0.9175, + "step": 14964 + }, + { + "epoch": 0.35, + "grad_norm": 0.7819057262336172, + "learning_rate": 1.5021790952805489e-05, + "loss": 0.7793, + "step": 14965 + }, + { + "epoch": 0.35, + "grad_norm": 1.5607184268356245, + "learning_rate": 1.5021131088020688e-05, + "loss": 0.8707, + "step": 14966 + }, + { + "epoch": 0.35, + "grad_norm": 1.7768022660662024, + "learning_rate": 1.5020471194001274e-05, + "loss": 0.7649, + "step": 14967 + }, + { + "epoch": 0.35, + "grad_norm": 1.6028090132627502, + "learning_rate": 1.501981127075109e-05, + "loss": 0.9142, + "step": 14968 + }, + { + "epoch": 0.35, + "grad_norm": 1.6921590972169045, + "learning_rate": 1.501915131827397e-05, + "loss": 0.8863, + "step": 14969 + }, + { + "epoch": 0.35, + "grad_norm": 1.6377839257532731, + "learning_rate": 1.5018491336573768e-05, + "loss": 0.8412, + "step": 14970 + }, + { + "epoch": 0.35, + "grad_norm": 1.9575042416102009, + "learning_rate": 1.5017831325654316e-05, + "loss": 0.9182, + "step": 14971 + }, + { + "epoch": 0.35, + "grad_norm": 1.8606458908260386, + "learning_rate": 1.5017171285519463e-05, + "loss": 0.8898, + "step": 14972 + }, + { + "epoch": 0.35, + "grad_norm": 1.612062442541705, + "learning_rate": 1.5016511216173052e-05, + "loss": 0.7745, + "step": 14973 + }, + { + "epoch": 0.35, + "grad_norm": 1.7000434847650323, + "learning_rate": 1.5015851117618923e-05, + "loss": 0.9762, + "step": 14974 + }, + { + "epoch": 0.35, + "grad_norm": 2.9016580200470696, + "learning_rate": 1.501519098986092e-05, + "loss": 0.9959, + "step": 14975 + }, + { + "epoch": 0.35, + "grad_norm": 1.905874423860583, + "learning_rate": 1.5014530832902886e-05, + "loss": 0.8575, + "step": 14976 + }, + { + "epoch": 0.35, + "grad_norm": 1.662950313010664, + "learning_rate": 1.501387064674867e-05, + "loss": 0.9519, + "step": 14977 + }, + { + "epoch": 0.35, + "grad_norm": 1.842153432369058, + "learning_rate": 1.501321043140211e-05, + "loss": 0.9608, + "step": 14978 + }, + { + "epoch": 0.35, + "grad_norm": 1.6683224877805112, + "learning_rate": 1.5012550186867051e-05, + "loss": 1.0037, + "step": 14979 + }, + { + "epoch": 0.35, + "grad_norm": 1.7222572337967046, + "learning_rate": 1.501188991314734e-05, + "loss": 0.8364, + "step": 14980 + }, + { + "epoch": 0.35, + "grad_norm": 1.621193344578533, + "learning_rate": 1.5011229610246815e-05, + "loss": 0.8944, + "step": 14981 + }, + { + "epoch": 0.35, + "grad_norm": 1.4568788292555774, + "learning_rate": 1.5010569278169327e-05, + "loss": 0.985, + "step": 14982 + }, + { + "epoch": 0.35, + "grad_norm": 1.589115995942945, + "learning_rate": 1.5009908916918719e-05, + "loss": 0.8141, + "step": 14983 + }, + { + "epoch": 0.35, + "grad_norm": 1.578394510813162, + "learning_rate": 1.5009248526498834e-05, + "loss": 1.0179, + "step": 14984 + }, + { + "epoch": 0.35, + "grad_norm": 1.6640354671676498, + "learning_rate": 1.500858810691352e-05, + "loss": 0.8644, + "step": 14985 + }, + { + "epoch": 0.35, + "grad_norm": 1.5526701838567254, + "learning_rate": 1.5007927658166619e-05, + "loss": 0.8923, + "step": 14986 + }, + { + "epoch": 0.35, + "grad_norm": 1.653696594308284, + "learning_rate": 1.5007267180261975e-05, + "loss": 0.8542, + "step": 14987 + }, + { + "epoch": 0.35, + "grad_norm": 1.4548917967110138, + "learning_rate": 1.500660667320344e-05, + "loss": 0.7882, + "step": 14988 + }, + { + "epoch": 0.35, + "grad_norm": 1.6007198398157594, + "learning_rate": 1.5005946136994857e-05, + "loss": 0.7908, + "step": 14989 + }, + { + "epoch": 0.35, + "grad_norm": 1.6602277630241515, + "learning_rate": 1.5005285571640067e-05, + "loss": 0.8294, + "step": 14990 + }, + { + "epoch": 0.35, + "grad_norm": 1.5768252550931254, + "learning_rate": 1.5004624977142923e-05, + "loss": 0.7465, + "step": 14991 + }, + { + "epoch": 0.35, + "grad_norm": 1.9407335160137353, + "learning_rate": 1.5003964353507265e-05, + "loss": 0.8998, + "step": 14992 + }, + { + "epoch": 0.35, + "grad_norm": 2.060630874452721, + "learning_rate": 1.5003303700736944e-05, + "loss": 0.9215, + "step": 14993 + }, + { + "epoch": 0.35, + "grad_norm": 2.021674755824909, + "learning_rate": 1.5002643018835806e-05, + "loss": 0.9923, + "step": 14994 + }, + { + "epoch": 0.35, + "grad_norm": 0.7849319578415421, + "learning_rate": 1.5001982307807694e-05, + "loss": 0.7931, + "step": 14995 + }, + { + "epoch": 0.35, + "grad_norm": 1.4966083185732717, + "learning_rate": 1.5001321567656459e-05, + "loss": 0.8556, + "step": 14996 + }, + { + "epoch": 0.35, + "grad_norm": 0.7660523005362344, + "learning_rate": 1.5000660798385943e-05, + "loss": 0.7098, + "step": 14997 + }, + { + "epoch": 0.35, + "grad_norm": 1.6771420135230084, + "learning_rate": 1.5000000000000002e-05, + "loss": 0.9318, + "step": 14998 + }, + { + "epoch": 0.35, + "grad_norm": 2.1693748786911073, + "learning_rate": 1.4999339172502477e-05, + "loss": 0.8304, + "step": 14999 + }, + { + "epoch": 0.35, + "grad_norm": 1.562744885324379, + "learning_rate": 1.4998678315897213e-05, + "loss": 0.859, + "step": 15000 + }, + { + "epoch": 0.35, + "grad_norm": 0.737551537497392, + "learning_rate": 1.4998017430188063e-05, + "loss": 0.7434, + "step": 15001 + }, + { + "epoch": 0.35, + "grad_norm": 1.8339824997220238, + "learning_rate": 1.4997356515378877e-05, + "loss": 0.9248, + "step": 15002 + }, + { + "epoch": 0.35, + "grad_norm": 1.6933860251131898, + "learning_rate": 1.4996695571473495e-05, + "loss": 0.8594, + "step": 15003 + }, + { + "epoch": 0.35, + "grad_norm": 1.4056983255139077, + "learning_rate": 1.4996034598475769e-05, + "loss": 0.875, + "step": 15004 + }, + { + "epoch": 0.35, + "grad_norm": 1.7212825801387623, + "learning_rate": 1.4995373596389549e-05, + "loss": 0.6954, + "step": 15005 + }, + { + "epoch": 0.35, + "grad_norm": 1.7071373047143914, + "learning_rate": 1.499471256521868e-05, + "loss": 0.7754, + "step": 15006 + }, + { + "epoch": 0.35, + "grad_norm": 1.7078035057015402, + "learning_rate": 1.4994051504967018e-05, + "loss": 0.9104, + "step": 15007 + }, + { + "epoch": 0.35, + "grad_norm": 1.4264569600140031, + "learning_rate": 1.4993390415638405e-05, + "loss": 0.8069, + "step": 15008 + }, + { + "epoch": 0.35, + "grad_norm": 1.7568613484594058, + "learning_rate": 1.4992729297236693e-05, + "loss": 0.7615, + "step": 15009 + }, + { + "epoch": 0.35, + "grad_norm": 1.76310868835038, + "learning_rate": 1.4992068149765726e-05, + "loss": 0.8569, + "step": 15010 + }, + { + "epoch": 0.35, + "grad_norm": 0.8350625117532564, + "learning_rate": 1.499140697322936e-05, + "loss": 0.7726, + "step": 15011 + }, + { + "epoch": 0.35, + "grad_norm": 1.595099443834224, + "learning_rate": 1.4990745767631445e-05, + "loss": 0.912, + "step": 15012 + }, + { + "epoch": 0.35, + "grad_norm": 1.3944260286598764, + "learning_rate": 1.4990084532975826e-05, + "loss": 0.9129, + "step": 15013 + }, + { + "epoch": 0.35, + "grad_norm": 1.5424203979853268, + "learning_rate": 1.4989423269266357e-05, + "loss": 1.0043, + "step": 15014 + }, + { + "epoch": 0.35, + "grad_norm": 1.5407206279385315, + "learning_rate": 1.4988761976506885e-05, + "loss": 0.9145, + "step": 15015 + }, + { + "epoch": 0.35, + "grad_norm": 1.4137212660135887, + "learning_rate": 1.4988100654701258e-05, + "loss": 0.9276, + "step": 15016 + }, + { + "epoch": 0.35, + "grad_norm": 2.0283439525056335, + "learning_rate": 1.4987439303853336e-05, + "loss": 0.8417, + "step": 15017 + }, + { + "epoch": 0.35, + "grad_norm": 2.113857592558988, + "learning_rate": 1.4986777923966958e-05, + "loss": 0.9912, + "step": 15018 + }, + { + "epoch": 0.35, + "grad_norm": 1.8863007926341915, + "learning_rate": 1.4986116515045982e-05, + "loss": 0.8954, + "step": 15019 + }, + { + "epoch": 0.35, + "grad_norm": 1.5385909565738816, + "learning_rate": 1.4985455077094258e-05, + "loss": 1.065, + "step": 15020 + }, + { + "epoch": 0.35, + "grad_norm": 1.6717924038173981, + "learning_rate": 1.4984793610115635e-05, + "loss": 0.9079, + "step": 15021 + }, + { + "epoch": 0.35, + "grad_norm": 0.7382302673857056, + "learning_rate": 1.4984132114113965e-05, + "loss": 0.7299, + "step": 15022 + }, + { + "epoch": 0.35, + "grad_norm": 1.884922544896995, + "learning_rate": 1.4983470589093103e-05, + "loss": 0.8154, + "step": 15023 + }, + { + "epoch": 0.35, + "grad_norm": 1.9242995979692508, + "learning_rate": 1.4982809035056894e-05, + "loss": 0.9707, + "step": 15024 + }, + { + "epoch": 0.35, + "grad_norm": 2.0929015507587176, + "learning_rate": 1.4982147452009197e-05, + "loss": 1.0223, + "step": 15025 + }, + { + "epoch": 0.35, + "grad_norm": 1.6828261136644789, + "learning_rate": 1.4981485839953855e-05, + "loss": 0.9248, + "step": 15026 + }, + { + "epoch": 0.35, + "grad_norm": 1.4763332247793919, + "learning_rate": 1.498082419889473e-05, + "loss": 0.717, + "step": 15027 + }, + { + "epoch": 0.35, + "grad_norm": 1.569516885100648, + "learning_rate": 1.4980162528835666e-05, + "loss": 0.9051, + "step": 15028 + }, + { + "epoch": 0.35, + "grad_norm": 1.7687693037112135, + "learning_rate": 1.4979500829780522e-05, + "loss": 0.8979, + "step": 15029 + }, + { + "epoch": 0.35, + "grad_norm": 1.5136190365213624, + "learning_rate": 1.4978839101733144e-05, + "loss": 0.9038, + "step": 15030 + }, + { + "epoch": 0.35, + "grad_norm": 1.7416621418099334, + "learning_rate": 1.4978177344697394e-05, + "loss": 1.0228, + "step": 15031 + }, + { + "epoch": 0.35, + "grad_norm": 1.7044097088418209, + "learning_rate": 1.4977515558677116e-05, + "loss": 0.8559, + "step": 15032 + }, + { + "epoch": 0.35, + "grad_norm": 1.7056299324413324, + "learning_rate": 1.4976853743676165e-05, + "loss": 0.9992, + "step": 15033 + }, + { + "epoch": 0.35, + "grad_norm": 1.5850650935065915, + "learning_rate": 1.4976191899698398e-05, + "loss": 0.8873, + "step": 15034 + }, + { + "epoch": 0.35, + "grad_norm": 2.454159684380968, + "learning_rate": 1.4975530026747667e-05, + "loss": 0.9785, + "step": 15035 + }, + { + "epoch": 0.35, + "grad_norm": 1.6011234143846444, + "learning_rate": 1.4974868124827823e-05, + "loss": 0.9411, + "step": 15036 + }, + { + "epoch": 0.35, + "grad_norm": 0.7803400351460736, + "learning_rate": 1.4974206193942724e-05, + "loss": 0.682, + "step": 15037 + }, + { + "epoch": 0.35, + "grad_norm": 2.3926543559366964, + "learning_rate": 1.497354423409622e-05, + "loss": 0.8661, + "step": 15038 + }, + { + "epoch": 0.35, + "grad_norm": 1.5437949540455849, + "learning_rate": 1.4972882245292165e-05, + "loss": 0.8086, + "step": 15039 + }, + { + "epoch": 0.35, + "grad_norm": 1.7289186371023884, + "learning_rate": 1.4972220227534422e-05, + "loss": 0.9187, + "step": 15040 + }, + { + "epoch": 0.35, + "grad_norm": 1.7450407275750044, + "learning_rate": 1.4971558180826832e-05, + "loss": 0.8494, + "step": 15041 + }, + { + "epoch": 0.35, + "grad_norm": 1.831112299346572, + "learning_rate": 1.497089610517326e-05, + "loss": 0.9763, + "step": 15042 + }, + { + "epoch": 0.35, + "grad_norm": 1.7716530566404232, + "learning_rate": 1.4970234000577555e-05, + "loss": 1.0252, + "step": 15043 + }, + { + "epoch": 0.35, + "grad_norm": 1.4501476094760049, + "learning_rate": 1.4969571867043576e-05, + "loss": 0.9474, + "step": 15044 + }, + { + "epoch": 0.35, + "grad_norm": 1.4661450569354293, + "learning_rate": 1.4968909704575171e-05, + "loss": 0.9299, + "step": 15045 + }, + { + "epoch": 0.35, + "grad_norm": 1.6844046847321372, + "learning_rate": 1.4968247513176209e-05, + "loss": 0.8479, + "step": 15046 + }, + { + "epoch": 0.35, + "grad_norm": 1.4586745237569787, + "learning_rate": 1.4967585292850531e-05, + "loss": 1.0189, + "step": 15047 + }, + { + "epoch": 0.35, + "grad_norm": 0.7580455443089201, + "learning_rate": 1.4966923043602002e-05, + "loss": 0.7161, + "step": 15048 + }, + { + "epoch": 0.35, + "grad_norm": 2.1489250863770155, + "learning_rate": 1.4966260765434472e-05, + "loss": 0.8447, + "step": 15049 + }, + { + "epoch": 0.35, + "grad_norm": 1.6146613580539315, + "learning_rate": 1.4965598458351797e-05, + "loss": 0.8752, + "step": 15050 + }, + { + "epoch": 0.35, + "grad_norm": 1.8062541583595322, + "learning_rate": 1.4964936122357843e-05, + "loss": 0.9658, + "step": 15051 + }, + { + "epoch": 0.35, + "grad_norm": 1.6706273849215931, + "learning_rate": 1.4964273757456451e-05, + "loss": 0.9326, + "step": 15052 + }, + { + "epoch": 0.35, + "grad_norm": 1.9027871056267087, + "learning_rate": 1.4963611363651494e-05, + "loss": 0.9479, + "step": 15053 + }, + { + "epoch": 0.35, + "grad_norm": 1.5688803356170378, + "learning_rate": 1.4962948940946814e-05, + "loss": 0.87, + "step": 15054 + }, + { + "epoch": 0.35, + "grad_norm": 1.5045635102911734, + "learning_rate": 1.4962286489346276e-05, + "loss": 0.8418, + "step": 15055 + }, + { + "epoch": 0.35, + "grad_norm": 1.4964047850495554, + "learning_rate": 1.4961624008853735e-05, + "loss": 0.9217, + "step": 15056 + }, + { + "epoch": 0.35, + "grad_norm": 1.940875866526283, + "learning_rate": 1.4960961499473048e-05, + "loss": 0.8785, + "step": 15057 + }, + { + "epoch": 0.35, + "grad_norm": 1.702332028832766, + "learning_rate": 1.4960298961208073e-05, + "loss": 0.923, + "step": 15058 + }, + { + "epoch": 0.35, + "grad_norm": 1.6250466893776254, + "learning_rate": 1.4959636394062666e-05, + "loss": 0.861, + "step": 15059 + }, + { + "epoch": 0.35, + "grad_norm": 1.654133181234428, + "learning_rate": 1.4958973798040685e-05, + "loss": 0.9473, + "step": 15060 + }, + { + "epoch": 0.35, + "grad_norm": 0.786930295360957, + "learning_rate": 1.4958311173145991e-05, + "loss": 0.7648, + "step": 15061 + }, + { + "epoch": 0.35, + "grad_norm": 1.5365454684249527, + "learning_rate": 1.495764851938244e-05, + "loss": 0.9639, + "step": 15062 + }, + { + "epoch": 0.35, + "grad_norm": 1.6248682257483098, + "learning_rate": 1.4956985836753887e-05, + "loss": 0.8962, + "step": 15063 + }, + { + "epoch": 0.35, + "grad_norm": 0.8300076520505116, + "learning_rate": 1.4956323125264193e-05, + "loss": 0.7685, + "step": 15064 + }, + { + "epoch": 0.35, + "grad_norm": 0.7857663272718218, + "learning_rate": 1.4955660384917218e-05, + "loss": 0.7102, + "step": 15065 + }, + { + "epoch": 0.35, + "grad_norm": 2.3009273922539517, + "learning_rate": 1.495499761571682e-05, + "loss": 1.1125, + "step": 15066 + }, + { + "epoch": 0.35, + "grad_norm": 1.718174956485731, + "learning_rate": 1.4954334817666855e-05, + "loss": 1.0085, + "step": 15067 + }, + { + "epoch": 0.35, + "grad_norm": 1.644902788411928, + "learning_rate": 1.4953671990771189e-05, + "loss": 0.8263, + "step": 15068 + }, + { + "epoch": 0.36, + "grad_norm": 1.7427310781184342, + "learning_rate": 1.4953009135033671e-05, + "loss": 0.879, + "step": 15069 + }, + { + "epoch": 0.36, + "grad_norm": 1.5716551863846246, + "learning_rate": 1.495234625045817e-05, + "loss": 0.8244, + "step": 15070 + }, + { + "epoch": 0.36, + "grad_norm": 1.9771115357180897, + "learning_rate": 1.4951683337048536e-05, + "loss": 0.8948, + "step": 15071 + }, + { + "epoch": 0.36, + "grad_norm": 2.068602535739321, + "learning_rate": 1.495102039480864e-05, + "loss": 0.8283, + "step": 15072 + }, + { + "epoch": 0.36, + "grad_norm": 1.5821471197801316, + "learning_rate": 1.495035742374233e-05, + "loss": 0.8249, + "step": 15073 + }, + { + "epoch": 0.36, + "grad_norm": 1.6236270394532941, + "learning_rate": 1.4949694423853478e-05, + "loss": 0.9381, + "step": 15074 + }, + { + "epoch": 0.36, + "grad_norm": 1.7311192727860014, + "learning_rate": 1.4949031395145932e-05, + "loss": 0.8985, + "step": 15075 + }, + { + "epoch": 0.36, + "grad_norm": 3.797735359206613, + "learning_rate": 1.4948368337623562e-05, + "loss": 0.877, + "step": 15076 + }, + { + "epoch": 0.36, + "grad_norm": 1.8586243833286162, + "learning_rate": 1.4947705251290223e-05, + "loss": 0.9576, + "step": 15077 + }, + { + "epoch": 0.36, + "grad_norm": 1.4793955844753839, + "learning_rate": 1.4947042136149778e-05, + "loss": 0.8947, + "step": 15078 + }, + { + "epoch": 0.36, + "grad_norm": 1.7328149349870967, + "learning_rate": 1.494637899220609e-05, + "loss": 0.8995, + "step": 15079 + }, + { + "epoch": 0.36, + "grad_norm": 1.6108410479115278, + "learning_rate": 1.4945715819463013e-05, + "loss": 0.9198, + "step": 15080 + }, + { + "epoch": 0.36, + "grad_norm": 3.1335756417029206, + "learning_rate": 1.4945052617924415e-05, + "loss": 0.9335, + "step": 15081 + }, + { + "epoch": 0.36, + "grad_norm": 1.8531344554938918, + "learning_rate": 1.4944389387594156e-05, + "loss": 0.9029, + "step": 15082 + }, + { + "epoch": 0.36, + "grad_norm": 1.768290486502422, + "learning_rate": 1.4943726128476097e-05, + "loss": 0.8774, + "step": 15083 + }, + { + "epoch": 0.36, + "grad_norm": 1.6497480859273288, + "learning_rate": 1.4943062840574096e-05, + "loss": 0.9112, + "step": 15084 + }, + { + "epoch": 0.36, + "grad_norm": 1.6155936186416497, + "learning_rate": 1.4942399523892021e-05, + "loss": 0.9332, + "step": 15085 + }, + { + "epoch": 0.36, + "grad_norm": 1.6620546177763054, + "learning_rate": 1.494173617843373e-05, + "loss": 0.8461, + "step": 15086 + }, + { + "epoch": 0.36, + "grad_norm": 1.5774676441868236, + "learning_rate": 1.4941072804203089e-05, + "loss": 0.9052, + "step": 15087 + }, + { + "epoch": 0.36, + "grad_norm": 1.539657584928778, + "learning_rate": 1.4940409401203955e-05, + "loss": 0.9777, + "step": 15088 + }, + { + "epoch": 0.36, + "grad_norm": 1.9192906901837383, + "learning_rate": 1.4939745969440194e-05, + "loss": 0.8084, + "step": 15089 + }, + { + "epoch": 0.36, + "grad_norm": 0.7754743841633146, + "learning_rate": 1.4939082508915668e-05, + "loss": 0.7239, + "step": 15090 + }, + { + "epoch": 0.36, + "grad_norm": 0.7663542783738942, + "learning_rate": 1.4938419019634243e-05, + "loss": 0.7202, + "step": 15091 + }, + { + "epoch": 0.36, + "grad_norm": 1.7818210661110832, + "learning_rate": 1.4937755501599774e-05, + "loss": 0.9094, + "step": 15092 + }, + { + "epoch": 0.36, + "grad_norm": 0.7531525654473202, + "learning_rate": 1.4937091954816131e-05, + "loss": 0.7665, + "step": 15093 + }, + { + "epoch": 0.36, + "grad_norm": 1.6639871486135702, + "learning_rate": 1.4936428379287176e-05, + "loss": 0.87, + "step": 15094 + }, + { + "epoch": 0.36, + "grad_norm": 1.6299620243266766, + "learning_rate": 1.4935764775016775e-05, + "loss": 0.8618, + "step": 15095 + }, + { + "epoch": 0.36, + "grad_norm": 1.7448346833960469, + "learning_rate": 1.4935101142008783e-05, + "loss": 0.8085, + "step": 15096 + }, + { + "epoch": 0.36, + "grad_norm": 1.693813189741158, + "learning_rate": 1.4934437480267075e-05, + "loss": 0.9978, + "step": 15097 + }, + { + "epoch": 0.36, + "grad_norm": 1.8772923367267422, + "learning_rate": 1.4933773789795508e-05, + "loss": 0.9213, + "step": 15098 + }, + { + "epoch": 0.36, + "grad_norm": 1.7822087266271207, + "learning_rate": 1.4933110070597945e-05, + "loss": 0.8826, + "step": 15099 + }, + { + "epoch": 0.36, + "grad_norm": 1.5517713333365168, + "learning_rate": 1.4932446322678255e-05, + "loss": 0.8496, + "step": 15100 + }, + { + "epoch": 0.36, + "grad_norm": 1.509618580043183, + "learning_rate": 1.4931782546040302e-05, + "loss": 0.9779, + "step": 15101 + }, + { + "epoch": 0.36, + "grad_norm": 1.9975898322257626, + "learning_rate": 1.4931118740687952e-05, + "loss": 0.8793, + "step": 15102 + }, + { + "epoch": 0.36, + "grad_norm": 2.016077938316293, + "learning_rate": 1.4930454906625062e-05, + "loss": 0.8878, + "step": 15103 + }, + { + "epoch": 0.36, + "grad_norm": 1.5537454518024818, + "learning_rate": 1.4929791043855506e-05, + "loss": 1.0042, + "step": 15104 + }, + { + "epoch": 0.36, + "grad_norm": 1.6558380250867422, + "learning_rate": 1.4929127152383148e-05, + "loss": 0.9783, + "step": 15105 + }, + { + "epoch": 0.36, + "grad_norm": 2.150582223823744, + "learning_rate": 1.4928463232211848e-05, + "loss": 0.9293, + "step": 15106 + }, + { + "epoch": 0.36, + "grad_norm": 1.6123169483201527, + "learning_rate": 1.4927799283345474e-05, + "loss": 0.8759, + "step": 15107 + }, + { + "epoch": 0.36, + "grad_norm": 1.5519670729237809, + "learning_rate": 1.4927135305787895e-05, + "loss": 0.9021, + "step": 15108 + }, + { + "epoch": 0.36, + "grad_norm": 1.678630347606631, + "learning_rate": 1.492647129954297e-05, + "loss": 0.9265, + "step": 15109 + }, + { + "epoch": 0.36, + "grad_norm": 1.7781354704939953, + "learning_rate": 1.4925807264614573e-05, + "loss": 0.9, + "step": 15110 + }, + { + "epoch": 0.36, + "grad_norm": 2.09555099335694, + "learning_rate": 1.4925143201006566e-05, + "loss": 0.8654, + "step": 15111 + }, + { + "epoch": 0.36, + "grad_norm": 1.6549762473458, + "learning_rate": 1.4924479108722816e-05, + "loss": 0.9933, + "step": 15112 + }, + { + "epoch": 0.36, + "grad_norm": 1.7246889670493133, + "learning_rate": 1.4923814987767191e-05, + "loss": 0.9097, + "step": 15113 + }, + { + "epoch": 0.36, + "grad_norm": 1.5145998333019803, + "learning_rate": 1.4923150838143555e-05, + "loss": 0.9011, + "step": 15114 + }, + { + "epoch": 0.36, + "grad_norm": 1.9000821857817098, + "learning_rate": 1.4922486659855774e-05, + "loss": 1.0359, + "step": 15115 + }, + { + "epoch": 0.36, + "grad_norm": 1.7723374890425154, + "learning_rate": 1.492182245290772e-05, + "loss": 0.8295, + "step": 15116 + }, + { + "epoch": 0.36, + "grad_norm": 2.067858697888986, + "learning_rate": 1.4921158217303257e-05, + "loss": 0.8365, + "step": 15117 + }, + { + "epoch": 0.36, + "grad_norm": 2.2857758088811355, + "learning_rate": 1.4920493953046254e-05, + "loss": 0.8988, + "step": 15118 + }, + { + "epoch": 0.36, + "grad_norm": 1.5639134587706753, + "learning_rate": 1.4919829660140577e-05, + "loss": 0.8718, + "step": 15119 + }, + { + "epoch": 0.36, + "grad_norm": 1.6810696016032112, + "learning_rate": 1.491916533859009e-05, + "loss": 0.905, + "step": 15120 + }, + { + "epoch": 0.36, + "grad_norm": 1.7563392215179698, + "learning_rate": 1.491850098839867e-05, + "loss": 0.8576, + "step": 15121 + }, + { + "epoch": 0.36, + "grad_norm": 1.4975602834931125, + "learning_rate": 1.4917836609570176e-05, + "loss": 0.8675, + "step": 15122 + }, + { + "epoch": 0.36, + "grad_norm": 0.8598895488966626, + "learning_rate": 1.4917172202108485e-05, + "loss": 0.7698, + "step": 15123 + }, + { + "epoch": 0.36, + "grad_norm": 2.505227616882281, + "learning_rate": 1.4916507766017455e-05, + "loss": 0.8043, + "step": 15124 + }, + { + "epoch": 0.36, + "grad_norm": 2.074484457489421, + "learning_rate": 1.4915843301300968e-05, + "loss": 0.8568, + "step": 15125 + }, + { + "epoch": 0.36, + "grad_norm": 1.9583686070348572, + "learning_rate": 1.491517880796288e-05, + "loss": 0.8099, + "step": 15126 + }, + { + "epoch": 0.36, + "grad_norm": 1.622707952079682, + "learning_rate": 1.4914514286007064e-05, + "loss": 0.8636, + "step": 15127 + }, + { + "epoch": 0.36, + "grad_norm": 1.733842776880295, + "learning_rate": 1.4913849735437392e-05, + "loss": 0.8929, + "step": 15128 + }, + { + "epoch": 0.36, + "grad_norm": 1.7500730022595599, + "learning_rate": 1.491318515625773e-05, + "loss": 0.945, + "step": 15129 + }, + { + "epoch": 0.36, + "grad_norm": 2.120285878392847, + "learning_rate": 1.491252054847195e-05, + "loss": 0.8839, + "step": 15130 + }, + { + "epoch": 0.36, + "grad_norm": 1.6497542943048609, + "learning_rate": 1.4911855912083916e-05, + "loss": 0.8714, + "step": 15131 + }, + { + "epoch": 0.36, + "grad_norm": 0.7871345565612669, + "learning_rate": 1.4911191247097504e-05, + "loss": 0.7284, + "step": 15132 + }, + { + "epoch": 0.36, + "grad_norm": 1.4434087202289239, + "learning_rate": 1.4910526553516585e-05, + "loss": 0.9152, + "step": 15133 + }, + { + "epoch": 0.36, + "grad_norm": 2.1581121014612816, + "learning_rate": 1.4909861831345022e-05, + "loss": 0.8449, + "step": 15134 + }, + { + "epoch": 0.36, + "grad_norm": 1.7905286217303433, + "learning_rate": 1.490919708058669e-05, + "loss": 0.8385, + "step": 15135 + }, + { + "epoch": 0.36, + "grad_norm": 1.791871675264175, + "learning_rate": 1.4908532301245459e-05, + "loss": 0.9486, + "step": 15136 + }, + { + "epoch": 0.36, + "grad_norm": 1.7790399732422584, + "learning_rate": 1.4907867493325199e-05, + "loss": 0.8881, + "step": 15137 + }, + { + "epoch": 0.36, + "grad_norm": 1.6868238441092613, + "learning_rate": 1.490720265682978e-05, + "loss": 0.8806, + "step": 15138 + }, + { + "epoch": 0.36, + "grad_norm": 2.2520965278782765, + "learning_rate": 1.4906537791763073e-05, + "loss": 0.9006, + "step": 15139 + }, + { + "epoch": 0.36, + "grad_norm": 2.0230121767912785, + "learning_rate": 1.490587289812895e-05, + "loss": 0.8123, + "step": 15140 + }, + { + "epoch": 0.36, + "grad_norm": 0.8021706430017468, + "learning_rate": 1.4905207975931282e-05, + "loss": 0.8024, + "step": 15141 + }, + { + "epoch": 0.36, + "grad_norm": 1.5622591888856052, + "learning_rate": 1.4904543025173943e-05, + "loss": 0.9535, + "step": 15142 + }, + { + "epoch": 0.36, + "grad_norm": 1.7441793735624906, + "learning_rate": 1.4903878045860798e-05, + "loss": 0.8866, + "step": 15143 + }, + { + "epoch": 0.36, + "grad_norm": 1.5826288418415462, + "learning_rate": 1.4903213037995725e-05, + "loss": 0.9514, + "step": 15144 + }, + { + "epoch": 0.36, + "grad_norm": 1.3595696599921019, + "learning_rate": 1.4902548001582591e-05, + "loss": 0.9202, + "step": 15145 + }, + { + "epoch": 0.36, + "grad_norm": 1.6061813330726138, + "learning_rate": 1.4901882936625272e-05, + "loss": 0.9654, + "step": 15146 + }, + { + "epoch": 0.36, + "grad_norm": 1.578556135105932, + "learning_rate": 1.4901217843127636e-05, + "loss": 0.9142, + "step": 15147 + }, + { + "epoch": 0.36, + "grad_norm": 1.9682686711145732, + "learning_rate": 1.4900552721093559e-05, + "loss": 0.8248, + "step": 15148 + }, + { + "epoch": 0.36, + "grad_norm": 1.570050020964227, + "learning_rate": 1.4899887570526916e-05, + "loss": 0.8352, + "step": 15149 + }, + { + "epoch": 0.36, + "grad_norm": 1.4869734233713903, + "learning_rate": 1.4899222391431572e-05, + "loss": 0.7983, + "step": 15150 + }, + { + "epoch": 0.36, + "grad_norm": 1.5826925775760614, + "learning_rate": 1.4898557183811409e-05, + "loss": 0.8839, + "step": 15151 + }, + { + "epoch": 0.36, + "grad_norm": 1.681215119841362, + "learning_rate": 1.489789194767029e-05, + "loss": 0.9456, + "step": 15152 + }, + { + "epoch": 0.36, + "grad_norm": 2.486260406341878, + "learning_rate": 1.4897226683012096e-05, + "loss": 0.8074, + "step": 15153 + }, + { + "epoch": 0.36, + "grad_norm": 1.6351252469744892, + "learning_rate": 1.4896561389840696e-05, + "loss": 0.7554, + "step": 15154 + }, + { + "epoch": 0.36, + "grad_norm": 1.7162121067016547, + "learning_rate": 1.4895896068159967e-05, + "loss": 0.9856, + "step": 15155 + }, + { + "epoch": 0.36, + "grad_norm": 1.543712223081444, + "learning_rate": 1.4895230717973783e-05, + "loss": 0.9421, + "step": 15156 + }, + { + "epoch": 0.36, + "grad_norm": 1.5864052732854257, + "learning_rate": 1.4894565339286014e-05, + "loss": 0.8206, + "step": 15157 + }, + { + "epoch": 0.36, + "grad_norm": 1.5627127203645506, + "learning_rate": 1.4893899932100534e-05, + "loss": 0.9969, + "step": 15158 + }, + { + "epoch": 0.36, + "grad_norm": 0.7924810054486962, + "learning_rate": 1.4893234496421222e-05, + "loss": 0.7426, + "step": 15159 + }, + { + "epoch": 0.36, + "grad_norm": 1.6247274793271436, + "learning_rate": 1.4892569032251949e-05, + "loss": 0.9548, + "step": 15160 + }, + { + "epoch": 0.36, + "grad_norm": 1.6209736631981553, + "learning_rate": 1.4891903539596588e-05, + "loss": 0.9306, + "step": 15161 + }, + { + "epoch": 0.36, + "grad_norm": 1.6848101175185004, + "learning_rate": 1.489123801845902e-05, + "loss": 0.9955, + "step": 15162 + }, + { + "epoch": 0.36, + "grad_norm": 0.8020521113962521, + "learning_rate": 1.4890572468843112e-05, + "loss": 0.6854, + "step": 15163 + }, + { + "epoch": 0.36, + "grad_norm": 1.6058465840684928, + "learning_rate": 1.4889906890752745e-05, + "loss": 0.7073, + "step": 15164 + }, + { + "epoch": 0.36, + "grad_norm": 1.634880272080761, + "learning_rate": 1.488924128419179e-05, + "loss": 0.9831, + "step": 15165 + }, + { + "epoch": 0.36, + "grad_norm": 1.875202662472723, + "learning_rate": 1.4888575649164125e-05, + "loss": 0.8613, + "step": 15166 + }, + { + "epoch": 0.36, + "grad_norm": 1.6054762031193357, + "learning_rate": 1.4887909985673626e-05, + "loss": 0.9118, + "step": 15167 + }, + { + "epoch": 0.36, + "grad_norm": 0.7876132868494625, + "learning_rate": 1.4887244293724167e-05, + "loss": 0.7551, + "step": 15168 + }, + { + "epoch": 0.36, + "grad_norm": 2.092195284189093, + "learning_rate": 1.4886578573319623e-05, + "loss": 0.8955, + "step": 15169 + }, + { + "epoch": 0.36, + "grad_norm": 1.7528442822407386, + "learning_rate": 1.4885912824463875e-05, + "loss": 0.8504, + "step": 15170 + }, + { + "epoch": 0.36, + "grad_norm": 1.7734488506278179, + "learning_rate": 1.4885247047160792e-05, + "loss": 0.8964, + "step": 15171 + }, + { + "epoch": 0.36, + "grad_norm": 1.6122990204818655, + "learning_rate": 1.4884581241414257e-05, + "loss": 0.9462, + "step": 15172 + }, + { + "epoch": 0.36, + "grad_norm": 1.921561972088282, + "learning_rate": 1.488391540722814e-05, + "loss": 0.8837, + "step": 15173 + }, + { + "epoch": 0.36, + "grad_norm": 1.95516945510566, + "learning_rate": 1.4883249544606326e-05, + "loss": 0.899, + "step": 15174 + }, + { + "epoch": 0.36, + "grad_norm": 1.8886217169637516, + "learning_rate": 1.4882583653552683e-05, + "loss": 0.9562, + "step": 15175 + }, + { + "epoch": 0.36, + "grad_norm": 0.7632772062747497, + "learning_rate": 1.4881917734071094e-05, + "loss": 0.6947, + "step": 15176 + }, + { + "epoch": 0.36, + "grad_norm": 1.4370913426786174, + "learning_rate": 1.4881251786165436e-05, + "loss": 0.8909, + "step": 15177 + }, + { + "epoch": 0.36, + "grad_norm": 1.7402183369283892, + "learning_rate": 1.488058580983958e-05, + "loss": 0.8082, + "step": 15178 + }, + { + "epoch": 0.36, + "grad_norm": 6.1757174233407595, + "learning_rate": 1.4879919805097412e-05, + "loss": 0.8449, + "step": 15179 + }, + { + "epoch": 0.36, + "grad_norm": 1.7123868412374463, + "learning_rate": 1.4879253771942805e-05, + "loss": 0.8817, + "step": 15180 + }, + { + "epoch": 0.36, + "grad_norm": 1.6177057300129019, + "learning_rate": 1.4878587710379639e-05, + "loss": 0.9852, + "step": 15181 + }, + { + "epoch": 0.36, + "grad_norm": 1.690445989859892, + "learning_rate": 1.4877921620411789e-05, + "loss": 0.8323, + "step": 15182 + }, + { + "epoch": 0.36, + "grad_norm": 1.560395740701512, + "learning_rate": 1.4877255502043136e-05, + "loss": 0.932, + "step": 15183 + }, + { + "epoch": 0.36, + "grad_norm": 2.011752967621589, + "learning_rate": 1.4876589355277555e-05, + "loss": 0.9766, + "step": 15184 + }, + { + "epoch": 0.36, + "grad_norm": 1.910866445967978, + "learning_rate": 1.487592318011893e-05, + "loss": 0.9049, + "step": 15185 + }, + { + "epoch": 0.36, + "grad_norm": 1.507038570763582, + "learning_rate": 1.4875256976571135e-05, + "loss": 0.9451, + "step": 15186 + }, + { + "epoch": 0.36, + "grad_norm": 1.7195124536199287, + "learning_rate": 1.487459074463805e-05, + "loss": 0.8472, + "step": 15187 + }, + { + "epoch": 0.36, + "grad_norm": 1.621879356219424, + "learning_rate": 1.4873924484323557e-05, + "loss": 0.8353, + "step": 15188 + }, + { + "epoch": 0.36, + "grad_norm": 0.8012733395636785, + "learning_rate": 1.487325819563153e-05, + "loss": 0.764, + "step": 15189 + }, + { + "epoch": 0.36, + "grad_norm": 1.645630129242604, + "learning_rate": 1.4872591878565852e-05, + "loss": 0.8855, + "step": 15190 + }, + { + "epoch": 0.36, + "grad_norm": 6.164564487904711, + "learning_rate": 1.4871925533130402e-05, + "loss": 0.8539, + "step": 15191 + }, + { + "epoch": 0.36, + "grad_norm": 1.5594370704780742, + "learning_rate": 1.4871259159329056e-05, + "loss": 0.7881, + "step": 15192 + }, + { + "epoch": 0.36, + "grad_norm": 1.9071937547439997, + "learning_rate": 1.48705927571657e-05, + "loss": 0.8588, + "step": 15193 + }, + { + "epoch": 0.36, + "grad_norm": 1.6683990319571358, + "learning_rate": 1.4869926326644208e-05, + "loss": 0.7805, + "step": 15194 + }, + { + "epoch": 0.36, + "grad_norm": 0.7683644903099495, + "learning_rate": 1.486925986776847e-05, + "loss": 0.7346, + "step": 15195 + }, + { + "epoch": 0.36, + "grad_norm": 1.8085289490637937, + "learning_rate": 1.4868593380542351e-05, + "loss": 0.8782, + "step": 15196 + }, + { + "epoch": 0.36, + "grad_norm": 0.7972372929012869, + "learning_rate": 1.4867926864969744e-05, + "loss": 0.7507, + "step": 15197 + }, + { + "epoch": 0.36, + "grad_norm": 0.738890948461524, + "learning_rate": 1.4867260321054526e-05, + "loss": 0.7163, + "step": 15198 + }, + { + "epoch": 0.36, + "grad_norm": 1.6296891009103955, + "learning_rate": 1.4866593748800578e-05, + "loss": 0.9277, + "step": 15199 + }, + { + "epoch": 0.36, + "grad_norm": 1.5393443873252288, + "learning_rate": 1.4865927148211779e-05, + "loss": 0.8861, + "step": 15200 + }, + { + "epoch": 0.36, + "grad_norm": 1.6873042376439051, + "learning_rate": 1.486526051929201e-05, + "loss": 0.9393, + "step": 15201 + }, + { + "epoch": 0.36, + "grad_norm": 1.5394078678211047, + "learning_rate": 1.4864593862045159e-05, + "loss": 0.7953, + "step": 15202 + }, + { + "epoch": 0.36, + "grad_norm": 1.4875211642300772, + "learning_rate": 1.4863927176475097e-05, + "loss": 0.7966, + "step": 15203 + }, + { + "epoch": 0.36, + "grad_norm": 1.4893547166502654, + "learning_rate": 1.4863260462585715e-05, + "loss": 0.9854, + "step": 15204 + }, + { + "epoch": 0.36, + "grad_norm": 1.9824164417208832, + "learning_rate": 1.4862593720380886e-05, + "loss": 0.9339, + "step": 15205 + }, + { + "epoch": 0.36, + "grad_norm": 1.4666026353443185, + "learning_rate": 1.4861926949864502e-05, + "loss": 0.9208, + "step": 15206 + }, + { + "epoch": 0.36, + "grad_norm": 1.8770376470419456, + "learning_rate": 1.486126015104044e-05, + "loss": 0.7999, + "step": 15207 + }, + { + "epoch": 0.36, + "grad_norm": 5.6609703339319575, + "learning_rate": 1.486059332391258e-05, + "loss": 1.015, + "step": 15208 + }, + { + "epoch": 0.36, + "grad_norm": 1.7419809826234336, + "learning_rate": 1.4859926468484807e-05, + "loss": 0.9898, + "step": 15209 + }, + { + "epoch": 0.36, + "grad_norm": 1.8586636844694568, + "learning_rate": 1.4859259584761002e-05, + "loss": 0.7885, + "step": 15210 + }, + { + "epoch": 0.36, + "grad_norm": 1.7389200920061967, + "learning_rate": 1.4858592672745053e-05, + "loss": 0.9671, + "step": 15211 + }, + { + "epoch": 0.36, + "grad_norm": 1.799408539634994, + "learning_rate": 1.4857925732440839e-05, + "loss": 0.8737, + "step": 15212 + }, + { + "epoch": 0.36, + "grad_norm": 1.837548602278294, + "learning_rate": 1.4857258763852241e-05, + "loss": 1.0333, + "step": 15213 + }, + { + "epoch": 0.36, + "grad_norm": 1.654185498863667, + "learning_rate": 1.4856591766983145e-05, + "loss": 0.9376, + "step": 15214 + }, + { + "epoch": 0.36, + "grad_norm": 1.7001803532945556, + "learning_rate": 1.4855924741837435e-05, + "loss": 0.8615, + "step": 15215 + }, + { + "epoch": 0.36, + "grad_norm": 1.9106484580846552, + "learning_rate": 1.4855257688418991e-05, + "loss": 0.8872, + "step": 15216 + }, + { + "epoch": 0.36, + "grad_norm": 1.9488955815857876, + "learning_rate": 1.4854590606731702e-05, + "loss": 0.9557, + "step": 15217 + }, + { + "epoch": 0.36, + "grad_norm": 1.6903089772076596, + "learning_rate": 1.485392349677945e-05, + "loss": 0.8936, + "step": 15218 + }, + { + "epoch": 0.36, + "grad_norm": 1.6895577321163961, + "learning_rate": 1.485325635856612e-05, + "loss": 0.8689, + "step": 15219 + }, + { + "epoch": 0.36, + "grad_norm": 1.5618624413518063, + "learning_rate": 1.4852589192095592e-05, + "loss": 0.8213, + "step": 15220 + }, + { + "epoch": 0.36, + "grad_norm": 1.6580694358703372, + "learning_rate": 1.4851921997371756e-05, + "loss": 0.9214, + "step": 15221 + }, + { + "epoch": 0.36, + "grad_norm": 1.958868011421843, + "learning_rate": 1.4851254774398492e-05, + "loss": 0.9764, + "step": 15222 + }, + { + "epoch": 0.36, + "grad_norm": 1.6327908802326552, + "learning_rate": 1.4850587523179689e-05, + "loss": 0.8977, + "step": 15223 + }, + { + "epoch": 0.36, + "grad_norm": 1.6786813384531794, + "learning_rate": 1.4849920243719227e-05, + "loss": 0.9447, + "step": 15224 + }, + { + "epoch": 0.36, + "grad_norm": 2.036566082264147, + "learning_rate": 1.4849252936020998e-05, + "loss": 0.9285, + "step": 15225 + }, + { + "epoch": 0.36, + "grad_norm": 1.6640576898737292, + "learning_rate": 1.4848585600088876e-05, + "loss": 0.8609, + "step": 15226 + }, + { + "epoch": 0.36, + "grad_norm": 1.8132565152654296, + "learning_rate": 1.484791823592676e-05, + "loss": 0.8775, + "step": 15227 + }, + { + "epoch": 0.36, + "grad_norm": 1.6960004125370587, + "learning_rate": 1.4847250843538527e-05, + "loss": 0.8003, + "step": 15228 + }, + { + "epoch": 0.36, + "grad_norm": 1.8510801506840482, + "learning_rate": 1.4846583422928067e-05, + "loss": 0.94, + "step": 15229 + }, + { + "epoch": 0.36, + "grad_norm": 1.8215064712402755, + "learning_rate": 1.484591597409926e-05, + "loss": 0.8498, + "step": 15230 + }, + { + "epoch": 0.36, + "grad_norm": 0.7731434714256875, + "learning_rate": 1.4845248497055997e-05, + "loss": 0.7864, + "step": 15231 + }, + { + "epoch": 0.36, + "grad_norm": 1.7539794993098912, + "learning_rate": 1.4844580991802166e-05, + "loss": 0.8603, + "step": 15232 + }, + { + "epoch": 0.36, + "grad_norm": 1.7420476687743982, + "learning_rate": 1.4843913458341646e-05, + "loss": 0.9642, + "step": 15233 + }, + { + "epoch": 0.36, + "grad_norm": 0.7632830627485099, + "learning_rate": 1.4843245896678333e-05, + "loss": 0.6991, + "step": 15234 + }, + { + "epoch": 0.36, + "grad_norm": 1.5781990284681218, + "learning_rate": 1.4842578306816108e-05, + "loss": 0.8927, + "step": 15235 + }, + { + "epoch": 0.36, + "grad_norm": 1.6509629713926741, + "learning_rate": 1.4841910688758858e-05, + "loss": 0.9353, + "step": 15236 + }, + { + "epoch": 0.36, + "grad_norm": 1.413095507205453, + "learning_rate": 1.4841243042510472e-05, + "loss": 0.9308, + "step": 15237 + }, + { + "epoch": 0.36, + "grad_norm": 1.5879928928665097, + "learning_rate": 1.4840575368074835e-05, + "loss": 0.8736, + "step": 15238 + }, + { + "epoch": 0.36, + "grad_norm": 2.1084151627344108, + "learning_rate": 1.4839907665455837e-05, + "loss": 1.021, + "step": 15239 + }, + { + "epoch": 0.36, + "grad_norm": 1.7282829025462312, + "learning_rate": 1.4839239934657364e-05, + "loss": 0.8458, + "step": 15240 + }, + { + "epoch": 0.36, + "grad_norm": 1.4857792812193558, + "learning_rate": 1.4838572175683304e-05, + "loss": 0.7738, + "step": 15241 + }, + { + "epoch": 0.36, + "grad_norm": 1.5506682329605013, + "learning_rate": 1.4837904388537545e-05, + "loss": 0.859, + "step": 15242 + }, + { + "epoch": 0.36, + "grad_norm": 1.690842001792969, + "learning_rate": 1.4837236573223973e-05, + "loss": 0.9319, + "step": 15243 + }, + { + "epoch": 0.36, + "grad_norm": 3.0573640973884575, + "learning_rate": 1.483656872974648e-05, + "loss": 0.78, + "step": 15244 + }, + { + "epoch": 0.36, + "grad_norm": 2.1227828105909556, + "learning_rate": 1.4835900858108951e-05, + "loss": 0.98, + "step": 15245 + }, + { + "epoch": 0.36, + "grad_norm": 1.545360959732883, + "learning_rate": 1.4835232958315278e-05, + "loss": 0.9152, + "step": 15246 + }, + { + "epoch": 0.36, + "grad_norm": 1.513934047378893, + "learning_rate": 1.4834565030369348e-05, + "loss": 0.9279, + "step": 15247 + }, + { + "epoch": 0.36, + "grad_norm": 1.5544550419163674, + "learning_rate": 1.4833897074275049e-05, + "loss": 0.9219, + "step": 15248 + }, + { + "epoch": 0.36, + "grad_norm": 1.7819209886548173, + "learning_rate": 1.4833229090036273e-05, + "loss": 1.0559, + "step": 15249 + }, + { + "epoch": 0.36, + "grad_norm": 1.6674859359443535, + "learning_rate": 1.4832561077656905e-05, + "loss": 0.8939, + "step": 15250 + }, + { + "epoch": 0.36, + "grad_norm": 1.553712186162484, + "learning_rate": 1.4831893037140836e-05, + "loss": 0.9833, + "step": 15251 + }, + { + "epoch": 0.36, + "grad_norm": 2.0702324056511405, + "learning_rate": 1.4831224968491955e-05, + "loss": 0.8704, + "step": 15252 + }, + { + "epoch": 0.36, + "grad_norm": 1.706915504716248, + "learning_rate": 1.4830556871714157e-05, + "loss": 0.8436, + "step": 15253 + }, + { + "epoch": 0.36, + "grad_norm": 1.7315565200682763, + "learning_rate": 1.4829888746811323e-05, + "loss": 0.8152, + "step": 15254 + }, + { + "epoch": 0.36, + "grad_norm": 1.4610073069057208, + "learning_rate": 1.482922059378735e-05, + "loss": 0.9109, + "step": 15255 + }, + { + "epoch": 0.36, + "grad_norm": 1.52997672292505, + "learning_rate": 1.4828552412646126e-05, + "loss": 0.9228, + "step": 15256 + }, + { + "epoch": 0.36, + "grad_norm": 2.6221394878391715, + "learning_rate": 1.482788420339154e-05, + "loss": 0.9027, + "step": 15257 + }, + { + "epoch": 0.36, + "grad_norm": 1.5376803715870755, + "learning_rate": 1.4827215966027483e-05, + "loss": 0.9387, + "step": 15258 + }, + { + "epoch": 0.36, + "grad_norm": 1.5563184582094594, + "learning_rate": 1.482654770055785e-05, + "loss": 0.8708, + "step": 15259 + }, + { + "epoch": 0.36, + "grad_norm": 1.6434746957305397, + "learning_rate": 1.4825879406986525e-05, + "loss": 0.9038, + "step": 15260 + }, + { + "epoch": 0.36, + "grad_norm": 1.4459842591552718, + "learning_rate": 1.4825211085317404e-05, + "loss": 0.9067, + "step": 15261 + }, + { + "epoch": 0.36, + "grad_norm": 1.8839295544005137, + "learning_rate": 1.4824542735554375e-05, + "loss": 0.9031, + "step": 15262 + }, + { + "epoch": 0.36, + "grad_norm": 1.5793500751274747, + "learning_rate": 1.482387435770133e-05, + "loss": 0.9283, + "step": 15263 + }, + { + "epoch": 0.36, + "grad_norm": 2.5056939040695188, + "learning_rate": 1.4823205951762164e-05, + "loss": 0.9255, + "step": 15264 + }, + { + "epoch": 0.36, + "grad_norm": 1.4476740283544756, + "learning_rate": 1.4822537517740763e-05, + "loss": 0.9157, + "step": 15265 + }, + { + "epoch": 0.36, + "grad_norm": 2.3145805777367507, + "learning_rate": 1.4821869055641023e-05, + "loss": 0.8994, + "step": 15266 + }, + { + "epoch": 0.36, + "grad_norm": 1.6268509542609633, + "learning_rate": 1.4821200565466835e-05, + "loss": 0.9556, + "step": 15267 + }, + { + "epoch": 0.36, + "grad_norm": 2.1437942275727884, + "learning_rate": 1.4820532047222091e-05, + "loss": 0.9381, + "step": 15268 + }, + { + "epoch": 0.36, + "grad_norm": 1.5592302520516386, + "learning_rate": 1.4819863500910683e-05, + "loss": 0.9274, + "step": 15269 + }, + { + "epoch": 0.36, + "grad_norm": 1.592690087323082, + "learning_rate": 1.4819194926536504e-05, + "loss": 0.8409, + "step": 15270 + }, + { + "epoch": 0.36, + "grad_norm": 1.6114108689874749, + "learning_rate": 1.4818526324103445e-05, + "loss": 0.8024, + "step": 15271 + }, + { + "epoch": 0.36, + "grad_norm": 2.2622411983607575, + "learning_rate": 1.4817857693615406e-05, + "loss": 1.0481, + "step": 15272 + }, + { + "epoch": 0.36, + "grad_norm": 3.144141135428692, + "learning_rate": 1.4817189035076265e-05, + "loss": 0.8203, + "step": 15273 + }, + { + "epoch": 0.36, + "grad_norm": 0.8023955804792975, + "learning_rate": 1.4816520348489932e-05, + "loss": 0.7454, + "step": 15274 + }, + { + "epoch": 0.36, + "grad_norm": 2.0215021608037853, + "learning_rate": 1.4815851633860288e-05, + "loss": 0.8816, + "step": 15275 + }, + { + "epoch": 0.36, + "grad_norm": 1.6797489888627337, + "learning_rate": 1.4815182891191234e-05, + "loss": 0.8287, + "step": 15276 + }, + { + "epoch": 0.36, + "grad_norm": 1.6441622343626408, + "learning_rate": 1.4814514120486657e-05, + "loss": 0.9804, + "step": 15277 + }, + { + "epoch": 0.36, + "grad_norm": 1.8643873656253915, + "learning_rate": 1.481384532175046e-05, + "loss": 0.8759, + "step": 15278 + }, + { + "epoch": 0.36, + "grad_norm": 1.8286392719213211, + "learning_rate": 1.481317649498653e-05, + "loss": 0.8678, + "step": 15279 + }, + { + "epoch": 0.36, + "grad_norm": 1.5431593996353998, + "learning_rate": 1.481250764019876e-05, + "loss": 1.0343, + "step": 15280 + }, + { + "epoch": 0.36, + "grad_norm": 2.1140777452982675, + "learning_rate": 1.4811838757391049e-05, + "loss": 0.9781, + "step": 15281 + }, + { + "epoch": 0.36, + "grad_norm": 1.6230627961581434, + "learning_rate": 1.4811169846567286e-05, + "loss": 0.9137, + "step": 15282 + }, + { + "epoch": 0.36, + "grad_norm": 1.698077174872185, + "learning_rate": 1.4810500907731374e-05, + "loss": 0.7777, + "step": 15283 + }, + { + "epoch": 0.36, + "grad_norm": 1.799667063166338, + "learning_rate": 1.4809831940887196e-05, + "loss": 0.9145, + "step": 15284 + }, + { + "epoch": 0.36, + "grad_norm": 1.4694563892984747, + "learning_rate": 1.4809162946038659e-05, + "loss": 0.8127, + "step": 15285 + }, + { + "epoch": 0.36, + "grad_norm": 1.6641578955839522, + "learning_rate": 1.4808493923189652e-05, + "loss": 0.9105, + "step": 15286 + }, + { + "epoch": 0.36, + "grad_norm": 1.7681261276304234, + "learning_rate": 1.4807824872344072e-05, + "loss": 0.9122, + "step": 15287 + }, + { + "epoch": 0.36, + "grad_norm": 1.7000945700995367, + "learning_rate": 1.4807155793505811e-05, + "loss": 0.91, + "step": 15288 + }, + { + "epoch": 0.36, + "grad_norm": 1.5170740334540582, + "learning_rate": 1.480648668667877e-05, + "loss": 0.7871, + "step": 15289 + }, + { + "epoch": 0.36, + "grad_norm": 1.4575935273101193, + "learning_rate": 1.4805817551866839e-05, + "loss": 0.9897, + "step": 15290 + }, + { + "epoch": 0.36, + "grad_norm": 2.778332766804997, + "learning_rate": 1.4805148389073918e-05, + "loss": 0.9064, + "step": 15291 + }, + { + "epoch": 0.36, + "grad_norm": 1.7382582307514285, + "learning_rate": 1.48044791983039e-05, + "loss": 0.8281, + "step": 15292 + }, + { + "epoch": 0.36, + "grad_norm": 1.7605459357908337, + "learning_rate": 1.4803809979560688e-05, + "loss": 0.9539, + "step": 15293 + }, + { + "epoch": 0.36, + "grad_norm": 1.5423629732369801, + "learning_rate": 1.480314073284817e-05, + "loss": 0.9253, + "step": 15294 + }, + { + "epoch": 0.36, + "grad_norm": 1.8315780455807145, + "learning_rate": 1.4802471458170245e-05, + "loss": 0.8279, + "step": 15295 + }, + { + "epoch": 0.36, + "grad_norm": 1.8777853362090686, + "learning_rate": 1.480180215553081e-05, + "loss": 1.0133, + "step": 15296 + }, + { + "epoch": 0.36, + "grad_norm": 1.6966452542355048, + "learning_rate": 1.4801132824933767e-05, + "loss": 0.8455, + "step": 15297 + }, + { + "epoch": 0.36, + "grad_norm": 1.6031666316473976, + "learning_rate": 1.4800463466383004e-05, + "loss": 0.947, + "step": 15298 + }, + { + "epoch": 0.36, + "grad_norm": 1.573100963809534, + "learning_rate": 1.4799794079882426e-05, + "loss": 0.88, + "step": 15299 + }, + { + "epoch": 0.36, + "grad_norm": 1.7804603282877374, + "learning_rate": 1.4799124665435927e-05, + "loss": 0.9176, + "step": 15300 + }, + { + "epoch": 0.36, + "grad_norm": 1.5397440563759286, + "learning_rate": 1.4798455223047401e-05, + "loss": 0.8656, + "step": 15301 + }, + { + "epoch": 0.36, + "grad_norm": 1.557367304168527, + "learning_rate": 1.4797785752720755e-05, + "loss": 0.8942, + "step": 15302 + }, + { + "epoch": 0.36, + "grad_norm": 3.1766038167871047, + "learning_rate": 1.4797116254459878e-05, + "loss": 0.8648, + "step": 15303 + }, + { + "epoch": 0.36, + "grad_norm": 1.5560589697582772, + "learning_rate": 1.4796446728268674e-05, + "loss": 0.8761, + "step": 15304 + }, + { + "epoch": 0.36, + "grad_norm": 1.7408390594434582, + "learning_rate": 1.4795777174151033e-05, + "loss": 0.9819, + "step": 15305 + }, + { + "epoch": 0.36, + "grad_norm": 1.6322206991911894, + "learning_rate": 1.4795107592110866e-05, + "loss": 0.9646, + "step": 15306 + }, + { + "epoch": 0.36, + "grad_norm": 1.5949481641622654, + "learning_rate": 1.4794437982152061e-05, + "loss": 0.7196, + "step": 15307 + }, + { + "epoch": 0.36, + "grad_norm": 1.7751508254175328, + "learning_rate": 1.4793768344278521e-05, + "loss": 1.0335, + "step": 15308 + }, + { + "epoch": 0.36, + "grad_norm": 1.72783444945655, + "learning_rate": 1.4793098678494145e-05, + "loss": 0.9046, + "step": 15309 + }, + { + "epoch": 0.36, + "grad_norm": 2.0841502218162784, + "learning_rate": 1.479242898480283e-05, + "loss": 0.9327, + "step": 15310 + }, + { + "epoch": 0.36, + "grad_norm": 1.8922774135154399, + "learning_rate": 1.4791759263208474e-05, + "loss": 0.9837, + "step": 15311 + }, + { + "epoch": 0.36, + "grad_norm": 2.5565083576537817, + "learning_rate": 1.479108951371498e-05, + "loss": 0.8949, + "step": 15312 + }, + { + "epoch": 0.36, + "grad_norm": 1.7156433774717799, + "learning_rate": 1.4790419736326248e-05, + "loss": 0.967, + "step": 15313 + }, + { + "epoch": 0.36, + "grad_norm": 0.7736351322563283, + "learning_rate": 1.4789749931046173e-05, + "loss": 0.7328, + "step": 15314 + }, + { + "epoch": 0.36, + "grad_norm": 2.7970990263860043, + "learning_rate": 1.4789080097878659e-05, + "loss": 0.8568, + "step": 15315 + }, + { + "epoch": 0.36, + "grad_norm": 2.0956134000630597, + "learning_rate": 1.4788410236827605e-05, + "loss": 0.8581, + "step": 15316 + }, + { + "epoch": 0.36, + "grad_norm": 1.502637633118364, + "learning_rate": 1.4787740347896908e-05, + "loss": 0.9187, + "step": 15317 + }, + { + "epoch": 0.36, + "grad_norm": 1.7414231299763185, + "learning_rate": 1.4787070431090474e-05, + "loss": 0.8563, + "step": 15318 + }, + { + "epoch": 0.36, + "grad_norm": 2.1072861956011253, + "learning_rate": 1.4786400486412198e-05, + "loss": 0.7683, + "step": 15319 + }, + { + "epoch": 0.36, + "grad_norm": 1.9055995331080788, + "learning_rate": 1.4785730513865983e-05, + "loss": 0.851, + "step": 15320 + }, + { + "epoch": 0.36, + "grad_norm": 1.6676939600028384, + "learning_rate": 1.4785060513455732e-05, + "loss": 0.7845, + "step": 15321 + }, + { + "epoch": 0.36, + "grad_norm": 1.684084216176167, + "learning_rate": 1.4784390485185342e-05, + "loss": 0.9465, + "step": 15322 + }, + { + "epoch": 0.36, + "grad_norm": 1.6983758879999322, + "learning_rate": 1.4783720429058719e-05, + "loss": 0.8641, + "step": 15323 + }, + { + "epoch": 0.36, + "grad_norm": 1.9249979469321556, + "learning_rate": 1.4783050345079755e-05, + "loss": 0.9785, + "step": 15324 + }, + { + "epoch": 0.36, + "grad_norm": 2.0623872533357726, + "learning_rate": 1.4782380233252365e-05, + "loss": 0.7507, + "step": 15325 + }, + { + "epoch": 0.36, + "grad_norm": 1.4482359625189969, + "learning_rate": 1.4781710093580437e-05, + "loss": 0.8176, + "step": 15326 + }, + { + "epoch": 0.36, + "grad_norm": 1.788269864360806, + "learning_rate": 1.4781039926067884e-05, + "loss": 0.9633, + "step": 15327 + }, + { + "epoch": 0.36, + "grad_norm": 1.784951015530248, + "learning_rate": 1.4780369730718595e-05, + "loss": 0.9115, + "step": 15328 + }, + { + "epoch": 0.36, + "grad_norm": 1.664693043694664, + "learning_rate": 1.477969950753649e-05, + "loss": 0.8221, + "step": 15329 + }, + { + "epoch": 0.36, + "grad_norm": 1.6808720846423413, + "learning_rate": 1.4779029256525457e-05, + "loss": 0.816, + "step": 15330 + }, + { + "epoch": 0.36, + "grad_norm": 1.6172476258775443, + "learning_rate": 1.47783589776894e-05, + "loss": 0.8286, + "step": 15331 + }, + { + "epoch": 0.36, + "grad_norm": 1.5734462783620333, + "learning_rate": 1.4777688671032226e-05, + "loss": 0.9327, + "step": 15332 + }, + { + "epoch": 0.36, + "grad_norm": 1.5363184003009331, + "learning_rate": 1.4777018336557835e-05, + "loss": 0.8695, + "step": 15333 + }, + { + "epoch": 0.36, + "grad_norm": 1.8170813370520549, + "learning_rate": 1.4776347974270135e-05, + "loss": 0.8737, + "step": 15334 + }, + { + "epoch": 0.36, + "grad_norm": 1.7473563412048971, + "learning_rate": 1.477567758417302e-05, + "loss": 0.8444, + "step": 15335 + }, + { + "epoch": 0.36, + "grad_norm": 1.8600251540676878, + "learning_rate": 1.4775007166270402e-05, + "loss": 0.9565, + "step": 15336 + }, + { + "epoch": 0.36, + "grad_norm": 1.5757590186951487, + "learning_rate": 1.4774336720566178e-05, + "loss": 0.8416, + "step": 15337 + }, + { + "epoch": 0.36, + "grad_norm": 1.9758647825270526, + "learning_rate": 1.4773666247064255e-05, + "loss": 0.9162, + "step": 15338 + }, + { + "epoch": 0.36, + "grad_norm": 0.7613883735216975, + "learning_rate": 1.4772995745768538e-05, + "loss": 0.7626, + "step": 15339 + }, + { + "epoch": 0.36, + "grad_norm": 1.4596071242360815, + "learning_rate": 1.4772325216682926e-05, + "loss": 0.8921, + "step": 15340 + }, + { + "epoch": 0.36, + "grad_norm": 2.0875957956518594, + "learning_rate": 1.4771654659811326e-05, + "loss": 0.9422, + "step": 15341 + }, + { + "epoch": 0.36, + "grad_norm": 2.0566744590747144, + "learning_rate": 1.4770984075157641e-05, + "loss": 0.9217, + "step": 15342 + }, + { + "epoch": 0.36, + "grad_norm": 1.4770273299365337, + "learning_rate": 1.4770313462725777e-05, + "loss": 0.8683, + "step": 15343 + }, + { + "epoch": 0.36, + "grad_norm": 1.5414875547797273, + "learning_rate": 1.476964282251964e-05, + "loss": 0.8852, + "step": 15344 + }, + { + "epoch": 0.36, + "grad_norm": 1.7238722421484234, + "learning_rate": 1.4768972154543129e-05, + "loss": 0.8534, + "step": 15345 + }, + { + "epoch": 0.36, + "grad_norm": 1.5412792462221052, + "learning_rate": 1.4768301458800154e-05, + "loss": 0.835, + "step": 15346 + }, + { + "epoch": 0.36, + "grad_norm": 1.5439530270220576, + "learning_rate": 1.4767630735294618e-05, + "loss": 0.7355, + "step": 15347 + }, + { + "epoch": 0.36, + "grad_norm": 1.6201380579732578, + "learning_rate": 1.4766959984030425e-05, + "loss": 0.8657, + "step": 15348 + }, + { + "epoch": 0.36, + "grad_norm": 1.8146596378883626, + "learning_rate": 1.4766289205011483e-05, + "loss": 0.809, + "step": 15349 + }, + { + "epoch": 0.36, + "grad_norm": 2.8684171222063024, + "learning_rate": 1.4765618398241697e-05, + "loss": 0.9293, + "step": 15350 + }, + { + "epoch": 0.36, + "grad_norm": 1.6163476888456458, + "learning_rate": 1.4764947563724974e-05, + "loss": 0.9019, + "step": 15351 + }, + { + "epoch": 0.36, + "grad_norm": 1.7597572265796644, + "learning_rate": 1.4764276701465212e-05, + "loss": 0.9123, + "step": 15352 + }, + { + "epoch": 0.36, + "grad_norm": 1.5714819865202077, + "learning_rate": 1.4763605811466328e-05, + "loss": 0.8892, + "step": 15353 + }, + { + "epoch": 0.36, + "grad_norm": 1.7093858505130535, + "learning_rate": 1.4762934893732218e-05, + "loss": 0.6902, + "step": 15354 + }, + { + "epoch": 0.36, + "grad_norm": 1.5243714850590306, + "learning_rate": 1.47622639482668e-05, + "loss": 0.8043, + "step": 15355 + }, + { + "epoch": 0.36, + "grad_norm": 0.8562463536719738, + "learning_rate": 1.4761592975073965e-05, + "loss": 0.7232, + "step": 15356 + }, + { + "epoch": 0.36, + "grad_norm": 0.8981222732842221, + "learning_rate": 1.4760921974157636e-05, + "loss": 0.7321, + "step": 15357 + }, + { + "epoch": 0.36, + "grad_norm": 1.8887847124368502, + "learning_rate": 1.4760250945521708e-05, + "loss": 0.8299, + "step": 15358 + }, + { + "epoch": 0.36, + "grad_norm": 1.5519618934485777, + "learning_rate": 1.4759579889170093e-05, + "loss": 0.9559, + "step": 15359 + }, + { + "epoch": 0.36, + "grad_norm": 1.6295106380329805, + "learning_rate": 1.4758908805106696e-05, + "loss": 0.925, + "step": 15360 + }, + { + "epoch": 0.36, + "grad_norm": 1.5809878357959681, + "learning_rate": 1.4758237693335424e-05, + "loss": 1.0382, + "step": 15361 + }, + { + "epoch": 0.36, + "grad_norm": 2.0084416485037075, + "learning_rate": 1.475756655386019e-05, + "loss": 0.9162, + "step": 15362 + }, + { + "epoch": 0.36, + "grad_norm": 1.6255458339676347, + "learning_rate": 1.4756895386684893e-05, + "loss": 0.8258, + "step": 15363 + }, + { + "epoch": 0.36, + "grad_norm": 0.7359284460003462, + "learning_rate": 1.4756224191813449e-05, + "loss": 0.7128, + "step": 15364 + }, + { + "epoch": 0.36, + "grad_norm": 1.4786400611125998, + "learning_rate": 1.4755552969249758e-05, + "loss": 1.0299, + "step": 15365 + }, + { + "epoch": 0.36, + "grad_norm": 1.403465180851822, + "learning_rate": 1.4754881718997735e-05, + "loss": 0.9405, + "step": 15366 + }, + { + "epoch": 0.36, + "grad_norm": 1.7729035566704021, + "learning_rate": 1.4754210441061283e-05, + "loss": 0.8322, + "step": 15367 + }, + { + "epoch": 0.36, + "grad_norm": 1.8352914417879624, + "learning_rate": 1.4753539135444314e-05, + "loss": 0.899, + "step": 15368 + }, + { + "epoch": 0.36, + "grad_norm": 1.5193025504338569, + "learning_rate": 1.4752867802150735e-05, + "loss": 0.9518, + "step": 15369 + }, + { + "epoch": 0.36, + "grad_norm": 1.6988546001305056, + "learning_rate": 1.4752196441184454e-05, + "loss": 0.8623, + "step": 15370 + }, + { + "epoch": 0.36, + "grad_norm": 1.7586818974971998, + "learning_rate": 1.4751525052549383e-05, + "loss": 0.8525, + "step": 15371 + }, + { + "epoch": 0.36, + "grad_norm": 1.9686297272654882, + "learning_rate": 1.475085363624943e-05, + "loss": 0.8104, + "step": 15372 + }, + { + "epoch": 0.36, + "grad_norm": 1.733893422119452, + "learning_rate": 1.4750182192288497e-05, + "loss": 0.9102, + "step": 15373 + }, + { + "epoch": 0.36, + "grad_norm": 1.6856394844504228, + "learning_rate": 1.4749510720670506e-05, + "loss": 0.9284, + "step": 15374 + }, + { + "epoch": 0.36, + "grad_norm": 1.9018078091205306, + "learning_rate": 1.4748839221399354e-05, + "loss": 0.9425, + "step": 15375 + }, + { + "epoch": 0.36, + "grad_norm": 1.8755991552436444, + "learning_rate": 1.4748167694478963e-05, + "loss": 0.9592, + "step": 15376 + }, + { + "epoch": 0.36, + "grad_norm": 1.5566724513113699, + "learning_rate": 1.4747496139913229e-05, + "loss": 0.7786, + "step": 15377 + }, + { + "epoch": 0.36, + "grad_norm": 1.7314686102961758, + "learning_rate": 1.4746824557706076e-05, + "loss": 0.8972, + "step": 15378 + }, + { + "epoch": 0.36, + "grad_norm": 0.8170779363848646, + "learning_rate": 1.4746152947861405e-05, + "loss": 0.7687, + "step": 15379 + }, + { + "epoch": 0.36, + "grad_norm": 2.114368429742621, + "learning_rate": 1.4745481310383127e-05, + "loss": 0.8609, + "step": 15380 + }, + { + "epoch": 0.36, + "grad_norm": 1.7862086160232729, + "learning_rate": 1.4744809645275157e-05, + "loss": 0.8745, + "step": 15381 + }, + { + "epoch": 0.36, + "grad_norm": 1.6099359072116035, + "learning_rate": 1.4744137952541402e-05, + "loss": 0.8392, + "step": 15382 + }, + { + "epoch": 0.36, + "grad_norm": 0.7594134286609199, + "learning_rate": 1.4743466232185775e-05, + "loss": 0.7639, + "step": 15383 + }, + { + "epoch": 0.36, + "grad_norm": 1.5450992350930148, + "learning_rate": 1.4742794484212184e-05, + "loss": 0.9977, + "step": 15384 + }, + { + "epoch": 0.36, + "grad_norm": 1.5661116260381378, + "learning_rate": 1.4742122708624544e-05, + "loss": 0.923, + "step": 15385 + }, + { + "epoch": 0.36, + "grad_norm": 1.591289439931777, + "learning_rate": 1.4741450905426763e-05, + "loss": 0.7448, + "step": 15386 + }, + { + "epoch": 0.36, + "grad_norm": 1.7656877290160522, + "learning_rate": 1.4740779074622756e-05, + "loss": 0.9004, + "step": 15387 + }, + { + "epoch": 0.36, + "grad_norm": 2.031012514392135, + "learning_rate": 1.4740107216216428e-05, + "loss": 0.7979, + "step": 15388 + }, + { + "epoch": 0.36, + "grad_norm": 1.6434610153699407, + "learning_rate": 1.4739435330211697e-05, + "loss": 0.8757, + "step": 15389 + }, + { + "epoch": 0.36, + "grad_norm": 1.6346742368819283, + "learning_rate": 1.4738763416612476e-05, + "loss": 0.8825, + "step": 15390 + }, + { + "epoch": 0.36, + "grad_norm": 1.7642598386634858, + "learning_rate": 1.473809147542267e-05, + "loss": 0.9284, + "step": 15391 + }, + { + "epoch": 0.36, + "grad_norm": 1.5586821523476766, + "learning_rate": 1.4737419506646197e-05, + "loss": 0.8527, + "step": 15392 + }, + { + "epoch": 0.36, + "grad_norm": 2.3328485187633596, + "learning_rate": 1.4736747510286968e-05, + "loss": 0.8966, + "step": 15393 + }, + { + "epoch": 0.36, + "grad_norm": 1.5729291205629927, + "learning_rate": 1.4736075486348896e-05, + "loss": 0.8757, + "step": 15394 + }, + { + "epoch": 0.36, + "grad_norm": 1.9966125714510143, + "learning_rate": 1.4735403434835891e-05, + "loss": 0.9929, + "step": 15395 + }, + { + "epoch": 0.36, + "grad_norm": 2.5180394618475535, + "learning_rate": 1.473473135575187e-05, + "loss": 0.9478, + "step": 15396 + }, + { + "epoch": 0.36, + "grad_norm": 1.881837034262262, + "learning_rate": 1.4734059249100743e-05, + "loss": 0.8789, + "step": 15397 + }, + { + "epoch": 0.36, + "grad_norm": 1.762113013686714, + "learning_rate": 1.4733387114886424e-05, + "loss": 0.8386, + "step": 15398 + }, + { + "epoch": 0.36, + "grad_norm": 1.6053072830130717, + "learning_rate": 1.4732714953112828e-05, + "loss": 0.8333, + "step": 15399 + }, + { + "epoch": 0.36, + "grad_norm": 1.777262400030218, + "learning_rate": 1.4732042763783866e-05, + "loss": 0.7659, + "step": 15400 + }, + { + "epoch": 0.36, + "grad_norm": 1.5813663916799257, + "learning_rate": 1.4731370546903454e-05, + "loss": 0.9041, + "step": 15401 + }, + { + "epoch": 0.36, + "grad_norm": 3.5827197025401922, + "learning_rate": 1.4730698302475505e-05, + "loss": 0.9516, + "step": 15402 + }, + { + "epoch": 0.36, + "grad_norm": 1.5740149412421085, + "learning_rate": 1.473002603050393e-05, + "loss": 0.8591, + "step": 15403 + }, + { + "epoch": 0.36, + "grad_norm": 1.507018741698635, + "learning_rate": 1.472935373099265e-05, + "loss": 0.8694, + "step": 15404 + }, + { + "epoch": 0.36, + "grad_norm": 1.646995771062379, + "learning_rate": 1.472868140394557e-05, + "loss": 0.8793, + "step": 15405 + }, + { + "epoch": 0.36, + "grad_norm": 0.7862392177118401, + "learning_rate": 1.4728009049366617e-05, + "loss": 0.7242, + "step": 15406 + }, + { + "epoch": 0.36, + "grad_norm": 1.5297829839797232, + "learning_rate": 1.472733666725969e-05, + "loss": 0.9377, + "step": 15407 + }, + { + "epoch": 0.36, + "grad_norm": 1.5885525458674528, + "learning_rate": 1.472666425762872e-05, + "loss": 0.912, + "step": 15408 + }, + { + "epoch": 0.36, + "grad_norm": 0.8048607961848522, + "learning_rate": 1.4725991820477612e-05, + "loss": 0.7791, + "step": 15409 + }, + { + "epoch": 0.36, + "grad_norm": 2.061288091220482, + "learning_rate": 1.4725319355810282e-05, + "loss": 0.9001, + "step": 15410 + }, + { + "epoch": 0.36, + "grad_norm": 2.1053698432652483, + "learning_rate": 1.4724646863630646e-05, + "loss": 0.8207, + "step": 15411 + }, + { + "epoch": 0.36, + "grad_norm": 1.7724081933696503, + "learning_rate": 1.472397434394262e-05, + "loss": 0.8848, + "step": 15412 + }, + { + "epoch": 0.36, + "grad_norm": 1.6368225247981298, + "learning_rate": 1.4723301796750122e-05, + "loss": 0.9404, + "step": 15413 + }, + { + "epoch": 0.36, + "grad_norm": 1.6820730365823493, + "learning_rate": 1.4722629222057063e-05, + "loss": 0.8795, + "step": 15414 + }, + { + "epoch": 0.36, + "grad_norm": 1.8861140821143023, + "learning_rate": 1.4721956619867364e-05, + "loss": 1.0234, + "step": 15415 + }, + { + "epoch": 0.36, + "grad_norm": 1.6872209632415567, + "learning_rate": 1.4721283990184938e-05, + "loss": 0.9717, + "step": 15416 + }, + { + "epoch": 0.36, + "grad_norm": 1.6400472471115695, + "learning_rate": 1.4720611333013701e-05, + "loss": 0.9743, + "step": 15417 + }, + { + "epoch": 0.36, + "grad_norm": 1.550329258035968, + "learning_rate": 1.471993864835757e-05, + "loss": 0.9247, + "step": 15418 + }, + { + "epoch": 0.36, + "grad_norm": 1.5740097105074629, + "learning_rate": 1.4719265936220464e-05, + "loss": 0.8525, + "step": 15419 + }, + { + "epoch": 0.36, + "grad_norm": 1.6232588604428635, + "learning_rate": 1.4718593196606294e-05, + "loss": 0.8099, + "step": 15420 + }, + { + "epoch": 0.36, + "grad_norm": 1.7388162222002825, + "learning_rate": 1.4717920429518984e-05, + "loss": 0.9436, + "step": 15421 + }, + { + "epoch": 0.36, + "grad_norm": 1.5806059818208245, + "learning_rate": 1.4717247634962446e-05, + "loss": 0.9123, + "step": 15422 + }, + { + "epoch": 0.36, + "grad_norm": 1.6771768434705725, + "learning_rate": 1.4716574812940603e-05, + "loss": 0.7845, + "step": 15423 + }, + { + "epoch": 0.36, + "grad_norm": 1.6016564668552489, + "learning_rate": 1.4715901963457362e-05, + "loss": 0.8775, + "step": 15424 + }, + { + "epoch": 0.36, + "grad_norm": 1.7527565709915482, + "learning_rate": 1.4715229086516649e-05, + "loss": 0.9117, + "step": 15425 + }, + { + "epoch": 0.36, + "grad_norm": 1.800744923576378, + "learning_rate": 1.471455618212238e-05, + "loss": 0.96, + "step": 15426 + }, + { + "epoch": 0.36, + "grad_norm": 1.5629787470101626, + "learning_rate": 1.4713883250278471e-05, + "loss": 0.7993, + "step": 15427 + }, + { + "epoch": 0.36, + "grad_norm": 1.6270206011926467, + "learning_rate": 1.4713210290988842e-05, + "loss": 0.9234, + "step": 15428 + }, + { + "epoch": 0.36, + "grad_norm": 0.7869895611550627, + "learning_rate": 1.471253730425741e-05, + "loss": 0.774, + "step": 15429 + }, + { + "epoch": 0.36, + "grad_norm": 1.5156036247096123, + "learning_rate": 1.4711864290088099e-05, + "loss": 0.8349, + "step": 15430 + }, + { + "epoch": 0.36, + "grad_norm": 1.7974917236662062, + "learning_rate": 1.4711191248484812e-05, + "loss": 0.8947, + "step": 15431 + }, + { + "epoch": 0.36, + "grad_norm": 1.5444234013032667, + "learning_rate": 1.4710518179451487e-05, + "loss": 0.849, + "step": 15432 + }, + { + "epoch": 0.36, + "grad_norm": 1.5706896332387483, + "learning_rate": 1.470984508299203e-05, + "loss": 0.8446, + "step": 15433 + }, + { + "epoch": 0.36, + "grad_norm": 1.8543532227427169, + "learning_rate": 1.4709171959110367e-05, + "loss": 0.9955, + "step": 15434 + }, + { + "epoch": 0.36, + "grad_norm": 1.4786748360241517, + "learning_rate": 1.470849880781041e-05, + "loss": 0.887, + "step": 15435 + }, + { + "epoch": 0.36, + "grad_norm": 2.4569291919358145, + "learning_rate": 1.4707825629096085e-05, + "loss": 1.0116, + "step": 15436 + }, + { + "epoch": 0.36, + "grad_norm": 1.7436023864303376, + "learning_rate": 1.4707152422971307e-05, + "loss": 0.8544, + "step": 15437 + }, + { + "epoch": 0.36, + "grad_norm": 1.9312389519533244, + "learning_rate": 1.4706479189439998e-05, + "loss": 0.892, + "step": 15438 + }, + { + "epoch": 0.36, + "grad_norm": 2.628139440144977, + "learning_rate": 1.4705805928506076e-05, + "loss": 0.8041, + "step": 15439 + }, + { + "epoch": 0.36, + "grad_norm": 1.7974834686457255, + "learning_rate": 1.4705132640173463e-05, + "loss": 0.9054, + "step": 15440 + }, + { + "epoch": 0.36, + "grad_norm": 1.7635522390076699, + "learning_rate": 1.4704459324446078e-05, + "loss": 0.9424, + "step": 15441 + }, + { + "epoch": 0.36, + "grad_norm": 0.7429692448539231, + "learning_rate": 1.4703785981327841e-05, + "loss": 0.681, + "step": 15442 + }, + { + "epoch": 0.36, + "grad_norm": 0.7584438962286886, + "learning_rate": 1.4703112610822674e-05, + "loss": 0.6822, + "step": 15443 + }, + { + "epoch": 0.36, + "grad_norm": 0.7462179505539174, + "learning_rate": 1.4702439212934496e-05, + "loss": 0.6939, + "step": 15444 + }, + { + "epoch": 0.36, + "grad_norm": 1.9857075459180609, + "learning_rate": 1.4701765787667228e-05, + "loss": 0.9426, + "step": 15445 + }, + { + "epoch": 0.36, + "grad_norm": 1.5930544174070949, + "learning_rate": 1.4701092335024792e-05, + "loss": 0.9976, + "step": 15446 + }, + { + "epoch": 0.36, + "grad_norm": 1.5627314883169734, + "learning_rate": 1.4700418855011105e-05, + "loss": 0.8409, + "step": 15447 + }, + { + "epoch": 0.36, + "grad_norm": 2.4017474606088975, + "learning_rate": 1.4699745347630095e-05, + "loss": 0.8067, + "step": 15448 + }, + { + "epoch": 0.36, + "grad_norm": 1.784998092568329, + "learning_rate": 1.4699071812885677e-05, + "loss": 0.8785, + "step": 15449 + }, + { + "epoch": 0.36, + "grad_norm": 1.7149411016142686, + "learning_rate": 1.4698398250781776e-05, + "loss": 0.917, + "step": 15450 + }, + { + "epoch": 0.36, + "grad_norm": 1.617595497072666, + "learning_rate": 1.4697724661322312e-05, + "loss": 0.9526, + "step": 15451 + }, + { + "epoch": 0.36, + "grad_norm": 2.6230207598582553, + "learning_rate": 1.469705104451121e-05, + "loss": 0.7709, + "step": 15452 + }, + { + "epoch": 0.36, + "grad_norm": 0.7654732189471537, + "learning_rate": 1.469637740035239e-05, + "loss": 0.7705, + "step": 15453 + }, + { + "epoch": 0.36, + "grad_norm": 0.7935117553766298, + "learning_rate": 1.4695703728849771e-05, + "loss": 0.7084, + "step": 15454 + }, + { + "epoch": 0.36, + "grad_norm": 1.615758790472847, + "learning_rate": 1.4695030030007282e-05, + "loss": 0.9228, + "step": 15455 + }, + { + "epoch": 0.36, + "grad_norm": 1.4872715735420161, + "learning_rate": 1.4694356303828837e-05, + "loss": 0.9529, + "step": 15456 + }, + { + "epoch": 0.36, + "grad_norm": 1.8342294956542562, + "learning_rate": 1.4693682550318368e-05, + "loss": 0.8718, + "step": 15457 + }, + { + "epoch": 0.36, + "grad_norm": 1.8357264266781885, + "learning_rate": 1.4693008769479788e-05, + "loss": 0.9187, + "step": 15458 + }, + { + "epoch": 0.36, + "grad_norm": 1.595345759186658, + "learning_rate": 1.4692334961317033e-05, + "loss": 0.8809, + "step": 15459 + }, + { + "epoch": 0.36, + "grad_norm": 2.1708623658394277, + "learning_rate": 1.4691661125834012e-05, + "loss": 0.9151, + "step": 15460 + }, + { + "epoch": 0.36, + "grad_norm": 1.7728285489060058, + "learning_rate": 1.4690987263034655e-05, + "loss": 0.8769, + "step": 15461 + }, + { + "epoch": 0.36, + "grad_norm": 1.7104810341815788, + "learning_rate": 1.4690313372922887e-05, + "loss": 0.9002, + "step": 15462 + }, + { + "epoch": 0.36, + "grad_norm": 1.49991588799856, + "learning_rate": 1.4689639455502629e-05, + "loss": 0.8556, + "step": 15463 + }, + { + "epoch": 0.36, + "grad_norm": 1.5725192438546816, + "learning_rate": 1.4688965510777803e-05, + "loss": 0.9356, + "step": 15464 + }, + { + "epoch": 0.36, + "grad_norm": 1.602686832309674, + "learning_rate": 1.468829153875234e-05, + "loss": 0.8945, + "step": 15465 + }, + { + "epoch": 0.36, + "grad_norm": 0.8022657278166416, + "learning_rate": 1.4687617539430154e-05, + "loss": 0.7166, + "step": 15466 + }, + { + "epoch": 0.36, + "grad_norm": 1.4798378882599104, + "learning_rate": 1.4686943512815179e-05, + "loss": 0.8627, + "step": 15467 + }, + { + "epoch": 0.36, + "grad_norm": 1.6246754612437544, + "learning_rate": 1.4686269458911333e-05, + "loss": 0.9546, + "step": 15468 + }, + { + "epoch": 0.36, + "grad_norm": 1.5678993621720345, + "learning_rate": 1.4685595377722544e-05, + "loss": 0.8461, + "step": 15469 + }, + { + "epoch": 0.36, + "grad_norm": 1.6335345513643615, + "learning_rate": 1.4684921269252734e-05, + "loss": 0.9001, + "step": 15470 + }, + { + "epoch": 0.36, + "grad_norm": 2.1226873759688396, + "learning_rate": 1.468424713350583e-05, + "loss": 0.778, + "step": 15471 + }, + { + "epoch": 0.36, + "grad_norm": 1.7163430808375089, + "learning_rate": 1.4683572970485756e-05, + "loss": 0.8364, + "step": 15472 + }, + { + "epoch": 0.36, + "grad_norm": 1.6775372743846866, + "learning_rate": 1.4682898780196434e-05, + "loss": 0.8463, + "step": 15473 + }, + { + "epoch": 0.36, + "grad_norm": 1.5893806543237161, + "learning_rate": 1.4682224562641798e-05, + "loss": 0.7841, + "step": 15474 + }, + { + "epoch": 0.36, + "grad_norm": 0.7820209891672565, + "learning_rate": 1.4681550317825766e-05, + "loss": 0.7214, + "step": 15475 + }, + { + "epoch": 0.36, + "grad_norm": 1.751847396775292, + "learning_rate": 1.4680876045752266e-05, + "loss": 0.8708, + "step": 15476 + }, + { + "epoch": 0.36, + "grad_norm": 4.002628846761608, + "learning_rate": 1.4680201746425221e-05, + "loss": 0.9128, + "step": 15477 + }, + { + "epoch": 0.36, + "grad_norm": 1.6792751991221975, + "learning_rate": 1.4679527419848563e-05, + "loss": 0.9553, + "step": 15478 + }, + { + "epoch": 0.36, + "grad_norm": 1.57933630010265, + "learning_rate": 1.4678853066026216e-05, + "loss": 0.9056, + "step": 15479 + }, + { + "epoch": 0.36, + "grad_norm": 1.7845995934926222, + "learning_rate": 1.4678178684962101e-05, + "loss": 1.0435, + "step": 15480 + }, + { + "epoch": 0.36, + "grad_norm": 1.4375640973533181, + "learning_rate": 1.4677504276660153e-05, + "loss": 0.7613, + "step": 15481 + }, + { + "epoch": 0.36, + "grad_norm": 1.5445851279500782, + "learning_rate": 1.4676829841124288e-05, + "loss": 0.9056, + "step": 15482 + }, + { + "epoch": 0.36, + "grad_norm": 1.660835014702021, + "learning_rate": 1.4676155378358447e-05, + "loss": 0.9659, + "step": 15483 + }, + { + "epoch": 0.36, + "grad_norm": 1.3762991926013595, + "learning_rate": 1.4675480888366545e-05, + "loss": 0.8358, + "step": 15484 + }, + { + "epoch": 0.36, + "grad_norm": 1.770128614961235, + "learning_rate": 1.4674806371152514e-05, + "loss": 0.934, + "step": 15485 + }, + { + "epoch": 0.36, + "grad_norm": 0.7572252823350479, + "learning_rate": 1.4674131826720278e-05, + "loss": 0.77, + "step": 15486 + }, + { + "epoch": 0.36, + "grad_norm": 2.616342582047942, + "learning_rate": 1.4673457255073769e-05, + "loss": 0.9704, + "step": 15487 + }, + { + "epoch": 0.36, + "grad_norm": 1.588574004603435, + "learning_rate": 1.4672782656216911e-05, + "loss": 0.9475, + "step": 15488 + }, + { + "epoch": 0.36, + "grad_norm": 1.5403600607402979, + "learning_rate": 1.4672108030153634e-05, + "loss": 0.8684, + "step": 15489 + }, + { + "epoch": 0.36, + "grad_norm": 1.4763437406223194, + "learning_rate": 1.4671433376887864e-05, + "loss": 0.948, + "step": 15490 + }, + { + "epoch": 0.36, + "grad_norm": 1.5625129099960748, + "learning_rate": 1.467075869642353e-05, + "loss": 0.8863, + "step": 15491 + }, + { + "epoch": 0.36, + "grad_norm": 1.763337472973373, + "learning_rate": 1.4670083988764559e-05, + "loss": 0.9371, + "step": 15492 + }, + { + "epoch": 0.37, + "grad_norm": 1.6373560890860883, + "learning_rate": 1.4669409253914882e-05, + "loss": 0.8351, + "step": 15493 + }, + { + "epoch": 0.37, + "grad_norm": 1.5978308091156745, + "learning_rate": 1.4668734491878426e-05, + "loss": 0.9036, + "step": 15494 + }, + { + "epoch": 0.37, + "grad_norm": 1.6816445703071132, + "learning_rate": 1.4668059702659121e-05, + "loss": 1.0371, + "step": 15495 + }, + { + "epoch": 0.37, + "grad_norm": 1.8260024814528872, + "learning_rate": 1.4667384886260892e-05, + "loss": 0.9089, + "step": 15496 + }, + { + "epoch": 0.37, + "grad_norm": 1.7780794846232681, + "learning_rate": 1.466671004268767e-05, + "loss": 0.9249, + "step": 15497 + }, + { + "epoch": 0.37, + "grad_norm": 1.5147918860594398, + "learning_rate": 1.4666035171943388e-05, + "loss": 0.8793, + "step": 15498 + }, + { + "epoch": 0.37, + "grad_norm": 1.7432629190424198, + "learning_rate": 1.466536027403197e-05, + "loss": 0.8838, + "step": 15499 + }, + { + "epoch": 0.37, + "grad_norm": 2.328920283850334, + "learning_rate": 1.4664685348957348e-05, + "loss": 0.858, + "step": 15500 + }, + { + "epoch": 0.37, + "grad_norm": 1.5701498934461433, + "learning_rate": 1.4664010396723449e-05, + "loss": 0.8812, + "step": 15501 + }, + { + "epoch": 0.37, + "grad_norm": 1.618511698223746, + "learning_rate": 1.466333541733421e-05, + "loss": 0.9503, + "step": 15502 + }, + { + "epoch": 0.37, + "grad_norm": 0.786423907303789, + "learning_rate": 1.466266041079355e-05, + "loss": 0.7444, + "step": 15503 + }, + { + "epoch": 0.37, + "grad_norm": 1.6381008780741186, + "learning_rate": 1.466198537710541e-05, + "loss": 0.9387, + "step": 15504 + }, + { + "epoch": 0.37, + "grad_norm": 1.5060423565587202, + "learning_rate": 1.4661310316273709e-05, + "loss": 0.7849, + "step": 15505 + }, + { + "epoch": 0.37, + "grad_norm": 1.522997130480112, + "learning_rate": 1.4660635228302388e-05, + "loss": 0.8061, + "step": 15506 + }, + { + "epoch": 0.37, + "grad_norm": 1.5131402743820688, + "learning_rate": 1.4659960113195371e-05, + "loss": 0.8467, + "step": 15507 + }, + { + "epoch": 0.37, + "grad_norm": 3.6634830180596216, + "learning_rate": 1.4659284970956593e-05, + "loss": 0.8245, + "step": 15508 + }, + { + "epoch": 0.37, + "grad_norm": 1.6763057194730726, + "learning_rate": 1.4658609801589982e-05, + "loss": 0.7129, + "step": 15509 + }, + { + "epoch": 0.37, + "grad_norm": 1.7899485528511776, + "learning_rate": 1.465793460509947e-05, + "loss": 0.9324, + "step": 15510 + }, + { + "epoch": 0.37, + "grad_norm": 2.160807588750036, + "learning_rate": 1.4657259381488988e-05, + "loss": 0.8938, + "step": 15511 + }, + { + "epoch": 0.37, + "grad_norm": 1.6938676321589765, + "learning_rate": 1.4656584130762467e-05, + "loss": 0.8595, + "step": 15512 + }, + { + "epoch": 0.37, + "grad_norm": 1.736839207063751, + "learning_rate": 1.4655908852923841e-05, + "loss": 0.921, + "step": 15513 + }, + { + "epoch": 0.37, + "grad_norm": 1.7548897554488971, + "learning_rate": 1.4655233547977037e-05, + "loss": 0.9023, + "step": 15514 + }, + { + "epoch": 0.37, + "grad_norm": 2.5646344687273936, + "learning_rate": 1.465455821592599e-05, + "loss": 0.9282, + "step": 15515 + }, + { + "epoch": 0.37, + "grad_norm": 1.596938993238797, + "learning_rate": 1.465388285677463e-05, + "loss": 0.9367, + "step": 15516 + }, + { + "epoch": 0.37, + "grad_norm": 1.597707137711614, + "learning_rate": 1.4653207470526893e-05, + "loss": 0.9675, + "step": 15517 + }, + { + "epoch": 0.37, + "grad_norm": 2.035981145062482, + "learning_rate": 1.465253205718671e-05, + "loss": 0.8442, + "step": 15518 + }, + { + "epoch": 0.37, + "grad_norm": 1.5217483443823177, + "learning_rate": 1.4651856616758009e-05, + "loss": 0.7798, + "step": 15519 + }, + { + "epoch": 0.37, + "grad_norm": 2.156371320788601, + "learning_rate": 1.4651181149244728e-05, + "loss": 0.8847, + "step": 15520 + }, + { + "epoch": 0.37, + "grad_norm": 1.543593765847541, + "learning_rate": 1.46505056546508e-05, + "loss": 0.8423, + "step": 15521 + }, + { + "epoch": 0.37, + "grad_norm": 1.6187000524565562, + "learning_rate": 1.4649830132980151e-05, + "loss": 0.8282, + "step": 15522 + }, + { + "epoch": 0.37, + "grad_norm": 1.8870069831413037, + "learning_rate": 1.4649154584236723e-05, + "loss": 0.8728, + "step": 15523 + }, + { + "epoch": 0.37, + "grad_norm": 0.7595510604822217, + "learning_rate": 1.464847900842444e-05, + "loss": 0.6991, + "step": 15524 + }, + { + "epoch": 0.37, + "grad_norm": 1.5023420001191246, + "learning_rate": 1.4647803405547248e-05, + "loss": 0.9744, + "step": 15525 + }, + { + "epoch": 0.37, + "grad_norm": 2.064166732152063, + "learning_rate": 1.4647127775609067e-05, + "loss": 0.8787, + "step": 15526 + }, + { + "epoch": 0.37, + "grad_norm": 0.7838600560087812, + "learning_rate": 1.4646452118613838e-05, + "loss": 0.75, + "step": 15527 + }, + { + "epoch": 0.37, + "grad_norm": 1.8506700183682412, + "learning_rate": 1.4645776434565492e-05, + "loss": 0.8383, + "step": 15528 + }, + { + "epoch": 0.37, + "grad_norm": 1.6828013098036638, + "learning_rate": 1.4645100723467969e-05, + "loss": 0.8908, + "step": 15529 + }, + { + "epoch": 0.37, + "grad_norm": 1.9429628566561061, + "learning_rate": 1.4644424985325198e-05, + "loss": 0.8043, + "step": 15530 + }, + { + "epoch": 0.37, + "grad_norm": 1.6416667594854077, + "learning_rate": 1.4643749220141113e-05, + "loss": 0.9075, + "step": 15531 + }, + { + "epoch": 0.37, + "grad_norm": 1.554458814790981, + "learning_rate": 1.4643073427919652e-05, + "loss": 0.7274, + "step": 15532 + }, + { + "epoch": 0.37, + "grad_norm": 1.7238939405592142, + "learning_rate": 1.4642397608664744e-05, + "loss": 0.9053, + "step": 15533 + }, + { + "epoch": 0.37, + "grad_norm": 1.4627529478669108, + "learning_rate": 1.4641721762380332e-05, + "loss": 0.9801, + "step": 15534 + }, + { + "epoch": 0.37, + "grad_norm": 1.7406725730653112, + "learning_rate": 1.4641045889070343e-05, + "loss": 1.0164, + "step": 15535 + }, + { + "epoch": 0.37, + "grad_norm": 1.4631990812135414, + "learning_rate": 1.4640369988738717e-05, + "loss": 0.881, + "step": 15536 + }, + { + "epoch": 0.37, + "grad_norm": 2.225235716990252, + "learning_rate": 1.4639694061389384e-05, + "loss": 0.8361, + "step": 15537 + }, + { + "epoch": 0.37, + "grad_norm": 1.6406211009646248, + "learning_rate": 1.4639018107026288e-05, + "loss": 0.8463, + "step": 15538 + }, + { + "epoch": 0.37, + "grad_norm": 1.8076971899111005, + "learning_rate": 1.4638342125653358e-05, + "loss": 1.1037, + "step": 15539 + }, + { + "epoch": 0.37, + "grad_norm": 0.7520768605256991, + "learning_rate": 1.4637666117274531e-05, + "loss": 0.7423, + "step": 15540 + }, + { + "epoch": 0.37, + "grad_norm": 1.7548088119556997, + "learning_rate": 1.4636990081893746e-05, + "loss": 1.0377, + "step": 15541 + }, + { + "epoch": 0.37, + "grad_norm": 1.6764651030813975, + "learning_rate": 1.4636314019514935e-05, + "loss": 0.8888, + "step": 15542 + }, + { + "epoch": 0.37, + "grad_norm": 1.9883355248798817, + "learning_rate": 1.4635637930142035e-05, + "loss": 1.035, + "step": 15543 + }, + { + "epoch": 0.37, + "grad_norm": 1.5146614411908483, + "learning_rate": 1.4634961813778982e-05, + "loss": 0.9667, + "step": 15544 + }, + { + "epoch": 0.37, + "grad_norm": 1.6463397782468199, + "learning_rate": 1.4634285670429717e-05, + "loss": 0.9792, + "step": 15545 + }, + { + "epoch": 0.37, + "grad_norm": 1.642976597928986, + "learning_rate": 1.4633609500098174e-05, + "loss": 0.8832, + "step": 15546 + }, + { + "epoch": 0.37, + "grad_norm": 1.632342489922948, + "learning_rate": 1.4632933302788289e-05, + "loss": 0.865, + "step": 15547 + }, + { + "epoch": 0.37, + "grad_norm": 1.779636804898961, + "learning_rate": 1.4632257078503997e-05, + "loss": 0.8745, + "step": 15548 + }, + { + "epoch": 0.37, + "grad_norm": 1.9751183626329656, + "learning_rate": 1.4631580827249242e-05, + "loss": 0.8521, + "step": 15549 + }, + { + "epoch": 0.37, + "grad_norm": 4.05247194503324, + "learning_rate": 1.4630904549027954e-05, + "loss": 0.8097, + "step": 15550 + }, + { + "epoch": 0.37, + "grad_norm": 0.7911285725395579, + "learning_rate": 1.4630228243844073e-05, + "loss": 0.7634, + "step": 15551 + }, + { + "epoch": 0.37, + "grad_norm": 1.692577619998093, + "learning_rate": 1.462955191170154e-05, + "loss": 0.7321, + "step": 15552 + }, + { + "epoch": 0.37, + "grad_norm": 2.152952212597643, + "learning_rate": 1.4628875552604291e-05, + "loss": 0.8951, + "step": 15553 + }, + { + "epoch": 0.37, + "grad_norm": 1.9561704921324508, + "learning_rate": 1.4628199166556258e-05, + "loss": 0.784, + "step": 15554 + }, + { + "epoch": 0.37, + "grad_norm": 1.9309694092896945, + "learning_rate": 1.462752275356139e-05, + "loss": 0.8075, + "step": 15555 + }, + { + "epoch": 0.37, + "grad_norm": 2.118540219184963, + "learning_rate": 1.4626846313623615e-05, + "loss": 0.9338, + "step": 15556 + }, + { + "epoch": 0.37, + "grad_norm": 1.9496731045373543, + "learning_rate": 1.4626169846746878e-05, + "loss": 0.9285, + "step": 15557 + }, + { + "epoch": 0.37, + "grad_norm": 1.718533399887315, + "learning_rate": 1.4625493352935114e-05, + "loss": 1.0003, + "step": 15558 + }, + { + "epoch": 0.37, + "grad_norm": 1.4487583366366437, + "learning_rate": 1.4624816832192266e-05, + "loss": 0.8739, + "step": 15559 + }, + { + "epoch": 0.37, + "grad_norm": 1.610991507449392, + "learning_rate": 1.4624140284522267e-05, + "loss": 0.9468, + "step": 15560 + }, + { + "epoch": 0.37, + "grad_norm": 1.839431796222523, + "learning_rate": 1.462346370992906e-05, + "loss": 0.8655, + "step": 15561 + }, + { + "epoch": 0.37, + "grad_norm": 1.6104010269084783, + "learning_rate": 1.4622787108416585e-05, + "loss": 0.8437, + "step": 15562 + }, + { + "epoch": 0.37, + "grad_norm": 0.8307459396188536, + "learning_rate": 1.4622110479988778e-05, + "loss": 0.7572, + "step": 15563 + }, + { + "epoch": 0.37, + "grad_norm": 1.5578928692274112, + "learning_rate": 1.4621433824649582e-05, + "loss": 0.9369, + "step": 15564 + }, + { + "epoch": 0.37, + "grad_norm": 1.4290014592770341, + "learning_rate": 1.4620757142402933e-05, + "loss": 0.8749, + "step": 15565 + }, + { + "epoch": 0.37, + "grad_norm": 1.4963625622904844, + "learning_rate": 1.4620080433252776e-05, + "loss": 0.8408, + "step": 15566 + }, + { + "epoch": 0.37, + "grad_norm": 1.6209416006756123, + "learning_rate": 1.4619403697203045e-05, + "loss": 0.837, + "step": 15567 + }, + { + "epoch": 0.37, + "grad_norm": 2.1153763431197916, + "learning_rate": 1.4618726934257687e-05, + "loss": 0.7796, + "step": 15568 + }, + { + "epoch": 0.37, + "grad_norm": 1.679732265229364, + "learning_rate": 1.4618050144420637e-05, + "loss": 1.103, + "step": 15569 + }, + { + "epoch": 0.37, + "grad_norm": 1.6063713264675226, + "learning_rate": 1.4617373327695837e-05, + "loss": 0.8522, + "step": 15570 + }, + { + "epoch": 0.37, + "grad_norm": 1.5663488624588848, + "learning_rate": 1.4616696484087228e-05, + "loss": 0.8523, + "step": 15571 + }, + { + "epoch": 0.37, + "grad_norm": 1.7143656666822313, + "learning_rate": 1.4616019613598748e-05, + "loss": 0.9392, + "step": 15572 + }, + { + "epoch": 0.37, + "grad_norm": 0.774712215899061, + "learning_rate": 1.4615342716234342e-05, + "loss": 0.7298, + "step": 15573 + }, + { + "epoch": 0.37, + "grad_norm": 1.4983575712552373, + "learning_rate": 1.461466579199795e-05, + "loss": 0.8315, + "step": 15574 + }, + { + "epoch": 0.37, + "grad_norm": 1.8205079938084832, + "learning_rate": 1.4613988840893512e-05, + "loss": 1.0109, + "step": 15575 + }, + { + "epoch": 0.37, + "grad_norm": 1.5256575705216735, + "learning_rate": 1.461331186292497e-05, + "loss": 0.7983, + "step": 15576 + }, + { + "epoch": 0.37, + "grad_norm": 2.2150185160387807, + "learning_rate": 1.4612634858096266e-05, + "loss": 0.908, + "step": 15577 + }, + { + "epoch": 0.37, + "grad_norm": 1.8444605550378665, + "learning_rate": 1.4611957826411343e-05, + "loss": 0.9308, + "step": 15578 + }, + { + "epoch": 0.37, + "grad_norm": 1.673390664608174, + "learning_rate": 1.461128076787414e-05, + "loss": 0.8192, + "step": 15579 + }, + { + "epoch": 0.37, + "grad_norm": 1.7979951225036115, + "learning_rate": 1.46106036824886e-05, + "loss": 0.9521, + "step": 15580 + }, + { + "epoch": 0.37, + "grad_norm": 1.9444950397669167, + "learning_rate": 1.4609926570258665e-05, + "loss": 0.797, + "step": 15581 + }, + { + "epoch": 0.37, + "grad_norm": 1.440976192646612, + "learning_rate": 1.460924943118828e-05, + "loss": 0.8781, + "step": 15582 + }, + { + "epoch": 0.37, + "grad_norm": 1.5206130254709427, + "learning_rate": 1.460857226528139e-05, + "loss": 0.9223, + "step": 15583 + }, + { + "epoch": 0.37, + "grad_norm": 1.773184212077777, + "learning_rate": 1.4607895072541925e-05, + "loss": 0.872, + "step": 15584 + }, + { + "epoch": 0.37, + "grad_norm": 1.7883835391037883, + "learning_rate": 1.4607217852973841e-05, + "loss": 0.7996, + "step": 15585 + }, + { + "epoch": 0.37, + "grad_norm": 1.6341751106440494, + "learning_rate": 1.460654060658107e-05, + "loss": 0.8801, + "step": 15586 + }, + { + "epoch": 0.37, + "grad_norm": 1.4995770678313949, + "learning_rate": 1.4605863333367567e-05, + "loss": 0.7165, + "step": 15587 + }, + { + "epoch": 0.37, + "grad_norm": 1.8380995369710995, + "learning_rate": 1.4605186033337266e-05, + "loss": 1.0175, + "step": 15588 + }, + { + "epoch": 0.37, + "grad_norm": 1.5931287811095132, + "learning_rate": 1.4604508706494119e-05, + "loss": 0.9811, + "step": 15589 + }, + { + "epoch": 0.37, + "grad_norm": 1.6270676433162736, + "learning_rate": 1.4603831352842061e-05, + "loss": 0.9793, + "step": 15590 + }, + { + "epoch": 0.37, + "grad_norm": 0.8123245413022818, + "learning_rate": 1.460315397238504e-05, + "loss": 0.7673, + "step": 15591 + }, + { + "epoch": 0.37, + "grad_norm": 1.7088876646300466, + "learning_rate": 1.4602476565127e-05, + "loss": 0.9609, + "step": 15592 + }, + { + "epoch": 0.37, + "grad_norm": 0.7444423443000219, + "learning_rate": 1.4601799131071883e-05, + "loss": 0.7177, + "step": 15593 + }, + { + "epoch": 0.37, + "grad_norm": 1.6245880512654274, + "learning_rate": 1.4601121670223633e-05, + "loss": 0.9007, + "step": 15594 + }, + { + "epoch": 0.37, + "grad_norm": 1.7731728411759344, + "learning_rate": 1.4600444182586197e-05, + "loss": 1.002, + "step": 15595 + }, + { + "epoch": 0.37, + "grad_norm": 1.8196683737900503, + "learning_rate": 1.4599766668163522e-05, + "loss": 0.8857, + "step": 15596 + }, + { + "epoch": 0.37, + "grad_norm": 0.7517657481932651, + "learning_rate": 1.4599089126959545e-05, + "loss": 0.7333, + "step": 15597 + }, + { + "epoch": 0.37, + "grad_norm": 1.6676424533384837, + "learning_rate": 1.4598411558978217e-05, + "loss": 0.8782, + "step": 15598 + }, + { + "epoch": 0.37, + "grad_norm": 1.6982070669079283, + "learning_rate": 1.4597733964223479e-05, + "loss": 0.9429, + "step": 15599 + }, + { + "epoch": 0.37, + "grad_norm": 2.1727487338573037, + "learning_rate": 1.459705634269928e-05, + "loss": 0.8581, + "step": 15600 + }, + { + "epoch": 0.37, + "grad_norm": 0.7344085737284087, + "learning_rate": 1.4596378694409565e-05, + "loss": 0.691, + "step": 15601 + }, + { + "epoch": 0.37, + "grad_norm": 0.765233473907464, + "learning_rate": 1.4595701019358275e-05, + "loss": 0.7127, + "step": 15602 + }, + { + "epoch": 0.37, + "grad_norm": 1.4989701685037722, + "learning_rate": 1.4595023317549362e-05, + "loss": 0.8549, + "step": 15603 + }, + { + "epoch": 0.37, + "grad_norm": 1.4621702773499636, + "learning_rate": 1.4594345588986767e-05, + "loss": 1.0042, + "step": 15604 + }, + { + "epoch": 0.37, + "grad_norm": 1.7728858013762852, + "learning_rate": 1.4593667833674437e-05, + "loss": 0.8122, + "step": 15605 + }, + { + "epoch": 0.37, + "grad_norm": 1.8554628128032058, + "learning_rate": 1.4592990051616318e-05, + "loss": 0.9067, + "step": 15606 + }, + { + "epoch": 0.37, + "grad_norm": 1.8395650936032568, + "learning_rate": 1.4592312242816355e-05, + "loss": 0.8947, + "step": 15607 + }, + { + "epoch": 0.37, + "grad_norm": 1.402200255506778, + "learning_rate": 1.45916344072785e-05, + "loss": 0.826, + "step": 15608 + }, + { + "epoch": 0.37, + "grad_norm": 1.675054836898338, + "learning_rate": 1.4590956545006693e-05, + "loss": 0.9544, + "step": 15609 + }, + { + "epoch": 0.37, + "grad_norm": 2.6984194756807325, + "learning_rate": 1.4590278656004888e-05, + "loss": 0.8476, + "step": 15610 + }, + { + "epoch": 0.37, + "grad_norm": 1.764868790591151, + "learning_rate": 1.4589600740277023e-05, + "loss": 0.8279, + "step": 15611 + }, + { + "epoch": 0.37, + "grad_norm": 1.669173350064, + "learning_rate": 1.4588922797827052e-05, + "loss": 0.9167, + "step": 15612 + }, + { + "epoch": 0.37, + "grad_norm": 2.157268782088542, + "learning_rate": 1.4588244828658918e-05, + "loss": 0.9217, + "step": 15613 + }, + { + "epoch": 0.37, + "grad_norm": 0.8068012265901392, + "learning_rate": 1.4587566832776569e-05, + "loss": 0.6784, + "step": 15614 + }, + { + "epoch": 0.37, + "grad_norm": 0.7815975176994534, + "learning_rate": 1.4586888810183956e-05, + "loss": 0.776, + "step": 15615 + }, + { + "epoch": 0.37, + "grad_norm": 0.7746919407419783, + "learning_rate": 1.4586210760885023e-05, + "loss": 0.709, + "step": 15616 + }, + { + "epoch": 0.37, + "grad_norm": 1.9565552054099433, + "learning_rate": 1.4585532684883718e-05, + "loss": 0.8094, + "step": 15617 + }, + { + "epoch": 0.37, + "grad_norm": 1.8323571195647688, + "learning_rate": 1.4584854582183992e-05, + "loss": 0.9397, + "step": 15618 + }, + { + "epoch": 0.37, + "grad_norm": 1.5029843541315382, + "learning_rate": 1.4584176452789791e-05, + "loss": 0.8821, + "step": 15619 + }, + { + "epoch": 0.37, + "grad_norm": 1.9257849559726514, + "learning_rate": 1.4583498296705063e-05, + "loss": 0.9823, + "step": 15620 + }, + { + "epoch": 0.37, + "grad_norm": 1.7683689015009751, + "learning_rate": 1.4582820113933755e-05, + "loss": 1.0203, + "step": 15621 + }, + { + "epoch": 0.37, + "grad_norm": 1.5332762510368791, + "learning_rate": 1.4582141904479819e-05, + "loss": 0.795, + "step": 15622 + }, + { + "epoch": 0.37, + "grad_norm": 2.029293781823494, + "learning_rate": 1.4581463668347201e-05, + "loss": 0.9236, + "step": 15623 + }, + { + "epoch": 0.37, + "grad_norm": 1.8043017268580166, + "learning_rate": 1.4580785405539853e-05, + "loss": 0.8391, + "step": 15624 + }, + { + "epoch": 0.37, + "grad_norm": 1.82629401189313, + "learning_rate": 1.4580107116061722e-05, + "loss": 0.9526, + "step": 15625 + }, + { + "epoch": 0.37, + "grad_norm": 1.5106361782684385, + "learning_rate": 1.4579428799916754e-05, + "loss": 0.9181, + "step": 15626 + }, + { + "epoch": 0.37, + "grad_norm": 1.5623576515518673, + "learning_rate": 1.4578750457108904e-05, + "loss": 0.8275, + "step": 15627 + }, + { + "epoch": 0.37, + "grad_norm": 1.9242540894242526, + "learning_rate": 1.4578072087642118e-05, + "loss": 0.8178, + "step": 15628 + }, + { + "epoch": 0.37, + "grad_norm": 1.6522174283449613, + "learning_rate": 1.4577393691520349e-05, + "loss": 0.9888, + "step": 15629 + }, + { + "epoch": 0.37, + "grad_norm": 2.014303066183311, + "learning_rate": 1.4576715268747545e-05, + "loss": 0.9567, + "step": 15630 + }, + { + "epoch": 0.37, + "grad_norm": 1.8931525132786657, + "learning_rate": 1.4576036819327654e-05, + "loss": 0.8862, + "step": 15631 + }, + { + "epoch": 0.37, + "grad_norm": 1.9730865868669796, + "learning_rate": 1.4575358343264628e-05, + "loss": 0.9439, + "step": 15632 + }, + { + "epoch": 0.37, + "grad_norm": 1.6212600429898092, + "learning_rate": 1.4574679840562417e-05, + "loss": 0.8699, + "step": 15633 + }, + { + "epoch": 0.37, + "grad_norm": 1.661442131141578, + "learning_rate": 1.4574001311224976e-05, + "loss": 0.8252, + "step": 15634 + }, + { + "epoch": 0.37, + "grad_norm": 1.7135667358224618, + "learning_rate": 1.4573322755256245e-05, + "loss": 0.8835, + "step": 15635 + }, + { + "epoch": 0.37, + "grad_norm": 1.4864135180863058, + "learning_rate": 1.4572644172660186e-05, + "loss": 0.9664, + "step": 15636 + }, + { + "epoch": 0.37, + "grad_norm": 1.807609021902833, + "learning_rate": 1.457196556344074e-05, + "loss": 0.8987, + "step": 15637 + }, + { + "epoch": 0.37, + "grad_norm": 1.524869827056044, + "learning_rate": 1.4571286927601868e-05, + "loss": 0.8864, + "step": 15638 + }, + { + "epoch": 0.37, + "grad_norm": 0.7883498345743948, + "learning_rate": 1.4570608265147512e-05, + "loss": 0.688, + "step": 15639 + }, + { + "epoch": 0.37, + "grad_norm": 1.5819262019723033, + "learning_rate": 1.4569929576081633e-05, + "loss": 0.859, + "step": 15640 + }, + { + "epoch": 0.37, + "grad_norm": 1.4843727481583404, + "learning_rate": 1.4569250860408173e-05, + "loss": 0.8449, + "step": 15641 + }, + { + "epoch": 0.37, + "grad_norm": 1.8459859524889346, + "learning_rate": 1.4568572118131087e-05, + "loss": 0.8598, + "step": 15642 + }, + { + "epoch": 0.37, + "grad_norm": 2.6465053843442026, + "learning_rate": 1.456789334925433e-05, + "loss": 0.7621, + "step": 15643 + }, + { + "epoch": 0.37, + "grad_norm": 0.730678181814876, + "learning_rate": 1.456721455378185e-05, + "loss": 0.6823, + "step": 15644 + }, + { + "epoch": 0.37, + "grad_norm": 1.4417696960383304, + "learning_rate": 1.4566535731717603e-05, + "loss": 0.899, + "step": 15645 + }, + { + "epoch": 0.37, + "grad_norm": 1.8450604345722503, + "learning_rate": 1.456585688306554e-05, + "loss": 0.9022, + "step": 15646 + }, + { + "epoch": 0.37, + "grad_norm": 1.724912950074899, + "learning_rate": 1.456517800782961e-05, + "loss": 0.9841, + "step": 15647 + }, + { + "epoch": 0.37, + "grad_norm": 1.9289410734796824, + "learning_rate": 1.4564499106013768e-05, + "loss": 0.8226, + "step": 15648 + }, + { + "epoch": 0.37, + "grad_norm": 1.8061211401669293, + "learning_rate": 1.4563820177621968e-05, + "loss": 0.9354, + "step": 15649 + }, + { + "epoch": 0.37, + "grad_norm": 1.701348252355846, + "learning_rate": 1.4563141222658163e-05, + "loss": 0.8351, + "step": 15650 + }, + { + "epoch": 0.37, + "grad_norm": 3.9936089105368735, + "learning_rate": 1.4562462241126305e-05, + "loss": 0.9017, + "step": 15651 + }, + { + "epoch": 0.37, + "grad_norm": 1.832664691255146, + "learning_rate": 1.4561783233030346e-05, + "loss": 0.8446, + "step": 15652 + }, + { + "epoch": 0.37, + "grad_norm": 1.7851827733807892, + "learning_rate": 1.4561104198374243e-05, + "loss": 0.8897, + "step": 15653 + }, + { + "epoch": 0.37, + "grad_norm": 1.3893407243386138, + "learning_rate": 1.4560425137161946e-05, + "loss": 0.8489, + "step": 15654 + }, + { + "epoch": 0.37, + "grad_norm": 1.7267546368666442, + "learning_rate": 1.4559746049397411e-05, + "loss": 0.9013, + "step": 15655 + }, + { + "epoch": 0.37, + "grad_norm": 2.951915665757571, + "learning_rate": 1.455906693508459e-05, + "loss": 0.8878, + "step": 15656 + }, + { + "epoch": 0.37, + "grad_norm": 1.603183913348036, + "learning_rate": 1.4558387794227438e-05, + "loss": 0.8244, + "step": 15657 + }, + { + "epoch": 0.37, + "grad_norm": 1.4849151729192633, + "learning_rate": 1.4557708626829907e-05, + "loss": 0.8614, + "step": 15658 + }, + { + "epoch": 0.37, + "grad_norm": 0.760751223518135, + "learning_rate": 1.455702943289596e-05, + "loss": 0.7186, + "step": 15659 + }, + { + "epoch": 0.37, + "grad_norm": 1.6155293221603684, + "learning_rate": 1.4556350212429538e-05, + "loss": 0.8788, + "step": 15660 + }, + { + "epoch": 0.37, + "grad_norm": 2.8014175795923473, + "learning_rate": 1.4555670965434602e-05, + "loss": 0.7618, + "step": 15661 + }, + { + "epoch": 0.37, + "grad_norm": 1.9809865322442164, + "learning_rate": 1.4554991691915115e-05, + "loss": 0.9866, + "step": 15662 + }, + { + "epoch": 0.37, + "grad_norm": 1.703889352789233, + "learning_rate": 1.4554312391875016e-05, + "loss": 0.9167, + "step": 15663 + }, + { + "epoch": 0.37, + "grad_norm": 2.077414770407925, + "learning_rate": 1.4553633065318274e-05, + "loss": 1.0138, + "step": 15664 + }, + { + "epoch": 0.37, + "grad_norm": 2.0514027495621843, + "learning_rate": 1.4552953712248834e-05, + "loss": 0.9991, + "step": 15665 + }, + { + "epoch": 0.37, + "grad_norm": 1.685614221084311, + "learning_rate": 1.4552274332670662e-05, + "loss": 0.8498, + "step": 15666 + }, + { + "epoch": 0.37, + "grad_norm": 0.7706016947855452, + "learning_rate": 1.4551594926587703e-05, + "loss": 0.7728, + "step": 15667 + }, + { + "epoch": 0.37, + "grad_norm": 0.8489852790693545, + "learning_rate": 1.4550915494003919e-05, + "loss": 0.7197, + "step": 15668 + }, + { + "epoch": 0.37, + "grad_norm": 1.501079200593413, + "learning_rate": 1.4550236034923263e-05, + "loss": 0.9468, + "step": 15669 + }, + { + "epoch": 0.37, + "grad_norm": 1.6189990782549546, + "learning_rate": 1.4549556549349694e-05, + "loss": 0.8025, + "step": 15670 + }, + { + "epoch": 0.37, + "grad_norm": 1.6609041157933442, + "learning_rate": 1.4548877037287166e-05, + "loss": 0.8752, + "step": 15671 + }, + { + "epoch": 0.37, + "grad_norm": 1.9067937293092467, + "learning_rate": 1.4548197498739636e-05, + "loss": 0.8871, + "step": 15672 + }, + { + "epoch": 0.37, + "grad_norm": 1.5847263359769457, + "learning_rate": 1.4547517933711058e-05, + "loss": 0.8472, + "step": 15673 + }, + { + "epoch": 0.37, + "grad_norm": 1.632624816396105, + "learning_rate": 1.4546838342205392e-05, + "loss": 0.9235, + "step": 15674 + }, + { + "epoch": 0.37, + "grad_norm": 1.5945435940683115, + "learning_rate": 1.4546158724226594e-05, + "loss": 0.758, + "step": 15675 + }, + { + "epoch": 0.37, + "grad_norm": 0.7921639303563298, + "learning_rate": 1.4545479079778622e-05, + "loss": 0.7433, + "step": 15676 + }, + { + "epoch": 0.37, + "grad_norm": 2.555731498947656, + "learning_rate": 1.4544799408865428e-05, + "loss": 0.9094, + "step": 15677 + }, + { + "epoch": 0.37, + "grad_norm": 1.8802539164372931, + "learning_rate": 1.4544119711490976e-05, + "loss": 0.963, + "step": 15678 + }, + { + "epoch": 0.37, + "grad_norm": 0.7522190892366628, + "learning_rate": 1.4543439987659221e-05, + "loss": 0.7469, + "step": 15679 + }, + { + "epoch": 0.37, + "grad_norm": 2.2506528882705066, + "learning_rate": 1.4542760237374119e-05, + "loss": 0.9602, + "step": 15680 + }, + { + "epoch": 0.37, + "grad_norm": 1.4027644657145166, + "learning_rate": 1.4542080460639627e-05, + "loss": 0.9179, + "step": 15681 + }, + { + "epoch": 0.37, + "grad_norm": 1.6013127391714814, + "learning_rate": 1.4541400657459705e-05, + "loss": 0.7378, + "step": 15682 + }, + { + "epoch": 0.37, + "grad_norm": 1.6824257832624696, + "learning_rate": 1.4540720827838313e-05, + "loss": 0.7774, + "step": 15683 + }, + { + "epoch": 0.37, + "grad_norm": 1.8458027124817376, + "learning_rate": 1.4540040971779403e-05, + "loss": 0.8159, + "step": 15684 + }, + { + "epoch": 0.37, + "grad_norm": 1.5294249962495112, + "learning_rate": 1.4539361089286942e-05, + "loss": 0.9184, + "step": 15685 + }, + { + "epoch": 0.37, + "grad_norm": 1.4729184932930453, + "learning_rate": 1.4538681180364878e-05, + "loss": 0.8937, + "step": 15686 + }, + { + "epoch": 0.37, + "grad_norm": 2.0648544893195675, + "learning_rate": 1.4538001245017182e-05, + "loss": 0.9382, + "step": 15687 + }, + { + "epoch": 0.37, + "grad_norm": 1.4574851690967028, + "learning_rate": 1.4537321283247799e-05, + "loss": 0.8677, + "step": 15688 + }, + { + "epoch": 0.37, + "grad_norm": 2.381621546818559, + "learning_rate": 1.4536641295060701e-05, + "loss": 0.903, + "step": 15689 + }, + { + "epoch": 0.37, + "grad_norm": 1.5444491742652529, + "learning_rate": 1.4535961280459838e-05, + "loss": 0.8394, + "step": 15690 + }, + { + "epoch": 0.37, + "grad_norm": 1.4511195986590704, + "learning_rate": 1.4535281239449173e-05, + "loss": 1.0254, + "step": 15691 + }, + { + "epoch": 0.37, + "grad_norm": 1.8128106358402465, + "learning_rate": 1.4534601172032663e-05, + "loss": 0.8399, + "step": 15692 + }, + { + "epoch": 0.37, + "grad_norm": 1.9180996372428358, + "learning_rate": 1.4533921078214271e-05, + "loss": 0.923, + "step": 15693 + }, + { + "epoch": 0.37, + "grad_norm": 1.5875356227577326, + "learning_rate": 1.4533240957997956e-05, + "loss": 0.9939, + "step": 15694 + }, + { + "epoch": 0.37, + "grad_norm": 1.5435977839255286, + "learning_rate": 1.4532560811387674e-05, + "loss": 0.8964, + "step": 15695 + }, + { + "epoch": 0.37, + "grad_norm": 1.7528634560745533, + "learning_rate": 1.453188063838739e-05, + "loss": 0.9009, + "step": 15696 + }, + { + "epoch": 0.37, + "grad_norm": 0.8045655693347227, + "learning_rate": 1.4531200439001063e-05, + "loss": 0.7706, + "step": 15697 + }, + { + "epoch": 0.37, + "grad_norm": 1.659587635421772, + "learning_rate": 1.453052021323265e-05, + "loss": 1.0253, + "step": 15698 + }, + { + "epoch": 0.37, + "grad_norm": 1.6667689157038326, + "learning_rate": 1.4529839961086116e-05, + "loss": 0.8929, + "step": 15699 + }, + { + "epoch": 0.37, + "grad_norm": 1.5106316960979553, + "learning_rate": 1.452915968256542e-05, + "loss": 0.8824, + "step": 15700 + }, + { + "epoch": 0.37, + "grad_norm": 1.577536532502556, + "learning_rate": 1.4528479377674521e-05, + "loss": 0.8739, + "step": 15701 + }, + { + "epoch": 0.37, + "grad_norm": 2.024287467836584, + "learning_rate": 1.452779904641738e-05, + "loss": 0.9815, + "step": 15702 + }, + { + "epoch": 0.37, + "grad_norm": 1.6244549889895343, + "learning_rate": 1.4527118688797963e-05, + "loss": 0.812, + "step": 15703 + }, + { + "epoch": 0.37, + "grad_norm": 1.4997053435150256, + "learning_rate": 1.4526438304820225e-05, + "loss": 0.9079, + "step": 15704 + }, + { + "epoch": 0.37, + "grad_norm": 1.8121300446101272, + "learning_rate": 1.452575789448813e-05, + "loss": 0.987, + "step": 15705 + }, + { + "epoch": 0.37, + "grad_norm": 2.0166810901537846, + "learning_rate": 1.4525077457805646e-05, + "loss": 0.8155, + "step": 15706 + }, + { + "epoch": 0.37, + "grad_norm": 1.543657635417688, + "learning_rate": 1.452439699477672e-05, + "loss": 0.869, + "step": 15707 + }, + { + "epoch": 0.37, + "grad_norm": 1.551120061434262, + "learning_rate": 1.4523716505405327e-05, + "loss": 0.859, + "step": 15708 + }, + { + "epoch": 0.37, + "grad_norm": 1.7349304656906996, + "learning_rate": 1.4523035989695422e-05, + "loss": 1.0475, + "step": 15709 + }, + { + "epoch": 0.37, + "grad_norm": 1.6673895085339294, + "learning_rate": 1.452235544765097e-05, + "loss": 0.9139, + "step": 15710 + }, + { + "epoch": 0.37, + "grad_norm": 1.8748941825490333, + "learning_rate": 1.4521674879275933e-05, + "loss": 0.9507, + "step": 15711 + }, + { + "epoch": 0.37, + "grad_norm": 1.566549658472085, + "learning_rate": 1.4520994284574275e-05, + "loss": 0.8601, + "step": 15712 + }, + { + "epoch": 0.37, + "grad_norm": 1.66722135827576, + "learning_rate": 1.4520313663549957e-05, + "loss": 0.8802, + "step": 15713 + }, + { + "epoch": 0.37, + "grad_norm": 1.6973904492377498, + "learning_rate": 1.4519633016206938e-05, + "loss": 0.9488, + "step": 15714 + }, + { + "epoch": 0.37, + "grad_norm": 1.4608188443866397, + "learning_rate": 1.4518952342549189e-05, + "loss": 0.9289, + "step": 15715 + }, + { + "epoch": 0.37, + "grad_norm": 0.7688785588596594, + "learning_rate": 1.4518271642580663e-05, + "loss": 0.7484, + "step": 15716 + }, + { + "epoch": 0.37, + "grad_norm": 1.5361561090621076, + "learning_rate": 1.4517590916305335e-05, + "loss": 0.8896, + "step": 15717 + }, + { + "epoch": 0.37, + "grad_norm": 1.6591103629029462, + "learning_rate": 1.4516910163727158e-05, + "loss": 0.9614, + "step": 15718 + }, + { + "epoch": 0.37, + "grad_norm": 1.6533176119285773, + "learning_rate": 1.4516229384850105e-05, + "loss": 0.9656, + "step": 15719 + }, + { + "epoch": 0.37, + "grad_norm": 1.8204927588636348, + "learning_rate": 1.451554857967813e-05, + "loss": 0.8856, + "step": 15720 + }, + { + "epoch": 0.37, + "grad_norm": 1.8385575616131333, + "learning_rate": 1.4514867748215204e-05, + "loss": 0.8724, + "step": 15721 + }, + { + "epoch": 0.37, + "grad_norm": 1.5581954261116995, + "learning_rate": 1.4514186890465289e-05, + "loss": 0.847, + "step": 15722 + }, + { + "epoch": 0.37, + "grad_norm": 1.524400318603551, + "learning_rate": 1.4513506006432347e-05, + "loss": 0.8226, + "step": 15723 + }, + { + "epoch": 0.37, + "grad_norm": 1.5900735982583198, + "learning_rate": 1.4512825096120346e-05, + "loss": 0.9794, + "step": 15724 + }, + { + "epoch": 0.37, + "grad_norm": 1.5051974985431618, + "learning_rate": 1.4512144159533248e-05, + "loss": 0.8814, + "step": 15725 + }, + { + "epoch": 0.37, + "grad_norm": 2.357869055891006, + "learning_rate": 1.4511463196675018e-05, + "loss": 0.7505, + "step": 15726 + }, + { + "epoch": 0.37, + "grad_norm": 2.049482206968337, + "learning_rate": 1.4510782207549619e-05, + "loss": 0.8841, + "step": 15727 + }, + { + "epoch": 0.37, + "grad_norm": 2.066645482322781, + "learning_rate": 1.451010119216102e-05, + "loss": 0.9473, + "step": 15728 + }, + { + "epoch": 0.37, + "grad_norm": 1.7479577614536965, + "learning_rate": 1.4509420150513183e-05, + "loss": 0.8035, + "step": 15729 + }, + { + "epoch": 0.37, + "grad_norm": 1.7424917550438466, + "learning_rate": 1.4508739082610075e-05, + "loss": 0.8028, + "step": 15730 + }, + { + "epoch": 0.37, + "grad_norm": 1.6422360383081331, + "learning_rate": 1.4508057988455659e-05, + "loss": 0.809, + "step": 15731 + }, + { + "epoch": 0.37, + "grad_norm": 2.0034244130142738, + "learning_rate": 1.4507376868053903e-05, + "loss": 0.975, + "step": 15732 + }, + { + "epoch": 0.37, + "grad_norm": 2.7415213630179798, + "learning_rate": 1.4506695721408775e-05, + "loss": 0.7677, + "step": 15733 + }, + { + "epoch": 0.37, + "grad_norm": 1.630608693860949, + "learning_rate": 1.4506014548524237e-05, + "loss": 0.8276, + "step": 15734 + }, + { + "epoch": 0.37, + "grad_norm": 1.4745309278522079, + "learning_rate": 1.4505333349404252e-05, + "loss": 0.8551, + "step": 15735 + }, + { + "epoch": 0.37, + "grad_norm": 1.6872257325674986, + "learning_rate": 1.4504652124052792e-05, + "loss": 0.8629, + "step": 15736 + }, + { + "epoch": 0.37, + "grad_norm": 1.6779451640275327, + "learning_rate": 1.450397087247382e-05, + "loss": 0.7777, + "step": 15737 + }, + { + "epoch": 0.37, + "grad_norm": 1.6356884116435855, + "learning_rate": 1.4503289594671306e-05, + "loss": 0.9649, + "step": 15738 + }, + { + "epoch": 0.37, + "grad_norm": 1.8181197536612625, + "learning_rate": 1.450260829064921e-05, + "loss": 0.8158, + "step": 15739 + }, + { + "epoch": 0.37, + "grad_norm": 1.8434444870557107, + "learning_rate": 1.4501926960411508e-05, + "loss": 0.7725, + "step": 15740 + }, + { + "epoch": 0.37, + "grad_norm": 1.5427420236806297, + "learning_rate": 1.450124560396216e-05, + "loss": 0.8406, + "step": 15741 + }, + { + "epoch": 0.37, + "grad_norm": 2.398655701841605, + "learning_rate": 1.4500564221305133e-05, + "loss": 0.8129, + "step": 15742 + }, + { + "epoch": 0.37, + "grad_norm": 1.7514389729164408, + "learning_rate": 1.44998828124444e-05, + "loss": 0.8138, + "step": 15743 + }, + { + "epoch": 0.37, + "grad_norm": 1.4924737868710602, + "learning_rate": 1.4499201377383923e-05, + "loss": 0.8425, + "step": 15744 + }, + { + "epoch": 0.37, + "grad_norm": 1.7287938349035707, + "learning_rate": 1.449851991612767e-05, + "loss": 0.7769, + "step": 15745 + }, + { + "epoch": 0.37, + "grad_norm": 1.6383598941629962, + "learning_rate": 1.449783842867961e-05, + "loss": 0.916, + "step": 15746 + }, + { + "epoch": 0.37, + "grad_norm": 1.6087465886941024, + "learning_rate": 1.4497156915043712e-05, + "loss": 0.8629, + "step": 15747 + }, + { + "epoch": 0.37, + "grad_norm": 1.5717137973222115, + "learning_rate": 1.4496475375223941e-05, + "loss": 0.9941, + "step": 15748 + }, + { + "epoch": 0.37, + "grad_norm": 1.5123888487825576, + "learning_rate": 1.4495793809224268e-05, + "loss": 0.8724, + "step": 15749 + }, + { + "epoch": 0.37, + "grad_norm": 1.913496173005395, + "learning_rate": 1.449511221704866e-05, + "loss": 0.9492, + "step": 15750 + }, + { + "epoch": 0.37, + "grad_norm": 3.0468571774808924, + "learning_rate": 1.4494430598701087e-05, + "loss": 0.8501, + "step": 15751 + }, + { + "epoch": 0.37, + "grad_norm": 1.6121458041948276, + "learning_rate": 1.4493748954185513e-05, + "loss": 0.8686, + "step": 15752 + }, + { + "epoch": 0.37, + "grad_norm": 1.7960513893725856, + "learning_rate": 1.449306728350591e-05, + "loss": 0.8864, + "step": 15753 + }, + { + "epoch": 0.37, + "grad_norm": 1.9861107464970231, + "learning_rate": 1.4492385586666249e-05, + "loss": 0.9823, + "step": 15754 + }, + { + "epoch": 0.37, + "grad_norm": 1.8600785611431243, + "learning_rate": 1.4491703863670496e-05, + "loss": 0.8939, + "step": 15755 + }, + { + "epoch": 0.37, + "grad_norm": 2.038330974586085, + "learning_rate": 1.4491022114522621e-05, + "loss": 0.8381, + "step": 15756 + }, + { + "epoch": 0.37, + "grad_norm": 1.5034984750469835, + "learning_rate": 1.4490340339226596e-05, + "loss": 0.8797, + "step": 15757 + }, + { + "epoch": 0.37, + "grad_norm": 1.7736637697415651, + "learning_rate": 1.4489658537786385e-05, + "loss": 0.8244, + "step": 15758 + }, + { + "epoch": 0.37, + "grad_norm": 1.4769726904213745, + "learning_rate": 1.448897671020596e-05, + "loss": 0.9541, + "step": 15759 + }, + { + "epoch": 0.37, + "grad_norm": 1.7399404851032436, + "learning_rate": 1.4488294856489291e-05, + "loss": 0.8893, + "step": 15760 + }, + { + "epoch": 0.37, + "grad_norm": 1.742106158976794, + "learning_rate": 1.448761297664035e-05, + "loss": 0.983, + "step": 15761 + }, + { + "epoch": 0.37, + "grad_norm": 1.6263358792731015, + "learning_rate": 1.4486931070663107e-05, + "loss": 0.785, + "step": 15762 + }, + { + "epoch": 0.37, + "grad_norm": 1.7009387566386056, + "learning_rate": 1.4486249138561528e-05, + "loss": 0.8981, + "step": 15763 + }, + { + "epoch": 0.37, + "grad_norm": 1.614633086021844, + "learning_rate": 1.448556718033959e-05, + "loss": 0.8783, + "step": 15764 + }, + { + "epoch": 0.37, + "grad_norm": 1.9200767356738693, + "learning_rate": 1.4484885196001255e-05, + "loss": 0.8513, + "step": 15765 + }, + { + "epoch": 0.37, + "grad_norm": 0.8024049036586137, + "learning_rate": 1.4484203185550503e-05, + "loss": 0.8031, + "step": 15766 + }, + { + "epoch": 0.37, + "grad_norm": 1.4948654141512359, + "learning_rate": 1.4483521148991295e-05, + "loss": 0.8647, + "step": 15767 + }, + { + "epoch": 0.37, + "grad_norm": 1.9803719503966224, + "learning_rate": 1.4482839086327614e-05, + "loss": 0.8886, + "step": 15768 + }, + { + "epoch": 0.37, + "grad_norm": 0.7473833966878453, + "learning_rate": 1.4482156997563417e-05, + "loss": 0.6853, + "step": 15769 + }, + { + "epoch": 0.37, + "grad_norm": 0.8182087459080483, + "learning_rate": 1.4481474882702688e-05, + "loss": 0.8166, + "step": 15770 + }, + { + "epoch": 0.37, + "grad_norm": 0.7479585741833037, + "learning_rate": 1.4480792741749395e-05, + "loss": 0.7263, + "step": 15771 + }, + { + "epoch": 0.37, + "grad_norm": 1.7610427732238934, + "learning_rate": 1.4480110574707504e-05, + "loss": 0.9538, + "step": 15772 + }, + { + "epoch": 0.37, + "grad_norm": 1.929301320675313, + "learning_rate": 1.4479428381580993e-05, + "loss": 0.9853, + "step": 15773 + }, + { + "epoch": 0.37, + "grad_norm": 1.5349180247761827, + "learning_rate": 1.447874616237383e-05, + "loss": 0.9118, + "step": 15774 + }, + { + "epoch": 0.37, + "grad_norm": 2.800665040592605, + "learning_rate": 1.447806391708999e-05, + "loss": 0.879, + "step": 15775 + }, + { + "epoch": 0.37, + "grad_norm": 1.6700315214991137, + "learning_rate": 1.4477381645733446e-05, + "loss": 0.7691, + "step": 15776 + }, + { + "epoch": 0.37, + "grad_norm": 1.7284477761390018, + "learning_rate": 1.4476699348308165e-05, + "loss": 0.9427, + "step": 15777 + }, + { + "epoch": 0.37, + "grad_norm": 0.8245341446604939, + "learning_rate": 1.4476017024818126e-05, + "loss": 0.7472, + "step": 15778 + }, + { + "epoch": 0.37, + "grad_norm": 1.6402407373214443, + "learning_rate": 1.4475334675267296e-05, + "loss": 0.8683, + "step": 15779 + }, + { + "epoch": 0.37, + "grad_norm": 1.4689219348516176, + "learning_rate": 1.4474652299659653e-05, + "loss": 0.795, + "step": 15780 + }, + { + "epoch": 0.37, + "grad_norm": 1.582914392093331, + "learning_rate": 1.4473969897999168e-05, + "loss": 0.952, + "step": 15781 + }, + { + "epoch": 0.37, + "grad_norm": 0.7684344432557628, + "learning_rate": 1.4473287470289811e-05, + "loss": 0.6868, + "step": 15782 + }, + { + "epoch": 0.37, + "grad_norm": 1.642357694500921, + "learning_rate": 1.447260501653556e-05, + "loss": 0.8231, + "step": 15783 + }, + { + "epoch": 0.37, + "grad_norm": 1.7285203151888444, + "learning_rate": 1.4471922536740385e-05, + "loss": 0.9032, + "step": 15784 + }, + { + "epoch": 0.37, + "grad_norm": 1.8710913953817332, + "learning_rate": 1.4471240030908265e-05, + "loss": 0.9372, + "step": 15785 + }, + { + "epoch": 0.37, + "grad_norm": 1.638442353070547, + "learning_rate": 1.4470557499043167e-05, + "loss": 0.8877, + "step": 15786 + }, + { + "epoch": 0.37, + "grad_norm": 1.8329667539823629, + "learning_rate": 1.4469874941149069e-05, + "loss": 0.7552, + "step": 15787 + }, + { + "epoch": 0.37, + "grad_norm": 2.0756740534515377, + "learning_rate": 1.4469192357229942e-05, + "loss": 0.9348, + "step": 15788 + }, + { + "epoch": 0.37, + "grad_norm": 1.4877049802441547, + "learning_rate": 1.4468509747289764e-05, + "loss": 0.8308, + "step": 15789 + }, + { + "epoch": 0.37, + "grad_norm": 1.4790399322438674, + "learning_rate": 1.4467827111332506e-05, + "loss": 0.8055, + "step": 15790 + }, + { + "epoch": 0.37, + "grad_norm": 0.8579409880219109, + "learning_rate": 1.4467144449362147e-05, + "loss": 0.7341, + "step": 15791 + }, + { + "epoch": 0.37, + "grad_norm": 1.6343235001195004, + "learning_rate": 1.4466461761382657e-05, + "loss": 0.7736, + "step": 15792 + }, + { + "epoch": 0.37, + "grad_norm": 0.771712806049089, + "learning_rate": 1.4465779047398014e-05, + "loss": 0.7093, + "step": 15793 + }, + { + "epoch": 0.37, + "grad_norm": 1.522451340529338, + "learning_rate": 1.446509630741219e-05, + "loss": 0.9051, + "step": 15794 + }, + { + "epoch": 0.37, + "grad_norm": 1.6030868319125058, + "learning_rate": 1.4464413541429161e-05, + "loss": 0.952, + "step": 15795 + }, + { + "epoch": 0.37, + "grad_norm": 1.8372401208768918, + "learning_rate": 1.4463730749452904e-05, + "loss": 0.9373, + "step": 15796 + }, + { + "epoch": 0.37, + "grad_norm": 0.7666372970244709, + "learning_rate": 1.4463047931487391e-05, + "loss": 0.7249, + "step": 15797 + }, + { + "epoch": 0.37, + "grad_norm": 2.163218418019009, + "learning_rate": 1.4462365087536603e-05, + "loss": 0.9277, + "step": 15798 + }, + { + "epoch": 0.37, + "grad_norm": 1.5378152217739887, + "learning_rate": 1.446168221760451e-05, + "loss": 0.9272, + "step": 15799 + }, + { + "epoch": 0.37, + "grad_norm": 1.8845828119312258, + "learning_rate": 1.4460999321695095e-05, + "loss": 0.9283, + "step": 15800 + }, + { + "epoch": 0.37, + "grad_norm": 0.7587597754956034, + "learning_rate": 1.4460316399812326e-05, + "loss": 0.6999, + "step": 15801 + }, + { + "epoch": 0.37, + "grad_norm": 2.25700374015651, + "learning_rate": 1.4459633451960184e-05, + "loss": 0.8637, + "step": 15802 + }, + { + "epoch": 0.37, + "grad_norm": 1.7178211051026397, + "learning_rate": 1.4458950478142643e-05, + "loss": 0.9004, + "step": 15803 + }, + { + "epoch": 0.37, + "grad_norm": 1.579504697058386, + "learning_rate": 1.4458267478363683e-05, + "loss": 0.8866, + "step": 15804 + }, + { + "epoch": 0.37, + "grad_norm": 1.5978342058960038, + "learning_rate": 1.4457584452627276e-05, + "loss": 0.9167, + "step": 15805 + }, + { + "epoch": 0.37, + "grad_norm": 0.7169087848052129, + "learning_rate": 1.4456901400937404e-05, + "loss": 0.66, + "step": 15806 + }, + { + "epoch": 0.37, + "grad_norm": 1.6073641416321305, + "learning_rate": 1.4456218323298037e-05, + "loss": 0.7933, + "step": 15807 + }, + { + "epoch": 0.37, + "grad_norm": 1.9724243334020635, + "learning_rate": 1.4455535219713157e-05, + "loss": 0.8159, + "step": 15808 + }, + { + "epoch": 0.37, + "grad_norm": 1.6087096814780961, + "learning_rate": 1.4454852090186742e-05, + "loss": 0.8865, + "step": 15809 + }, + { + "epoch": 0.37, + "grad_norm": 1.567640434707544, + "learning_rate": 1.4454168934722765e-05, + "loss": 0.9976, + "step": 15810 + }, + { + "epoch": 0.37, + "grad_norm": 1.5197887915476214, + "learning_rate": 1.445348575332521e-05, + "loss": 0.9128, + "step": 15811 + }, + { + "epoch": 0.37, + "grad_norm": 0.7646139894261507, + "learning_rate": 1.4452802545998048e-05, + "loss": 0.7274, + "step": 15812 + }, + { + "epoch": 0.37, + "grad_norm": 0.7752646931866074, + "learning_rate": 1.4452119312745266e-05, + "loss": 0.7873, + "step": 15813 + }, + { + "epoch": 0.37, + "grad_norm": 1.7308331445901959, + "learning_rate": 1.4451436053570826e-05, + "loss": 0.8289, + "step": 15814 + }, + { + "epoch": 0.37, + "grad_norm": 1.722406756590779, + "learning_rate": 1.4450752768478725e-05, + "loss": 0.8911, + "step": 15815 + }, + { + "epoch": 0.37, + "grad_norm": 1.7566468726252855, + "learning_rate": 1.4450069457472926e-05, + "loss": 0.8398, + "step": 15816 + }, + { + "epoch": 0.37, + "grad_norm": 2.0154879100552523, + "learning_rate": 1.4449386120557418e-05, + "loss": 0.8576, + "step": 15817 + }, + { + "epoch": 0.37, + "grad_norm": 1.7000087015649084, + "learning_rate": 1.4448702757736172e-05, + "loss": 0.8228, + "step": 15818 + }, + { + "epoch": 0.37, + "grad_norm": 1.7739362322119876, + "learning_rate": 1.4448019369013173e-05, + "loss": 0.8086, + "step": 15819 + }, + { + "epoch": 0.37, + "grad_norm": 1.7801629774461447, + "learning_rate": 1.4447335954392393e-05, + "loss": 0.9441, + "step": 15820 + }, + { + "epoch": 0.37, + "grad_norm": 0.7586961492987575, + "learning_rate": 1.4446652513877818e-05, + "loss": 0.7479, + "step": 15821 + }, + { + "epoch": 0.37, + "grad_norm": 0.8203092932993223, + "learning_rate": 1.4445969047473427e-05, + "loss": 0.7692, + "step": 15822 + }, + { + "epoch": 0.37, + "grad_norm": 1.4586183590034458, + "learning_rate": 1.4445285555183193e-05, + "loss": 0.8569, + "step": 15823 + }, + { + "epoch": 0.37, + "grad_norm": 1.9175773291788705, + "learning_rate": 1.4444602037011099e-05, + "loss": 0.8143, + "step": 15824 + }, + { + "epoch": 0.37, + "grad_norm": 0.7689651905760438, + "learning_rate": 1.4443918492961127e-05, + "loss": 0.7597, + "step": 15825 + }, + { + "epoch": 0.37, + "grad_norm": 1.6649828883872422, + "learning_rate": 1.4443234923037253e-05, + "loss": 0.9582, + "step": 15826 + }, + { + "epoch": 0.37, + "grad_norm": 1.7194066206313023, + "learning_rate": 1.4442551327243456e-05, + "loss": 0.8561, + "step": 15827 + }, + { + "epoch": 0.37, + "grad_norm": 1.6792373882363736, + "learning_rate": 1.4441867705583723e-05, + "loss": 0.8896, + "step": 15828 + }, + { + "epoch": 0.37, + "grad_norm": 1.8534571574013041, + "learning_rate": 1.4441184058062028e-05, + "loss": 0.9533, + "step": 15829 + }, + { + "epoch": 0.37, + "grad_norm": 1.5266552811946006, + "learning_rate": 1.4440500384682353e-05, + "loss": 0.8589, + "step": 15830 + }, + { + "epoch": 0.37, + "grad_norm": 1.7236126518117332, + "learning_rate": 1.443981668544868e-05, + "loss": 0.8723, + "step": 15831 + }, + { + "epoch": 0.37, + "grad_norm": 1.7259387301526345, + "learning_rate": 1.4439132960364988e-05, + "loss": 1.0644, + "step": 15832 + }, + { + "epoch": 0.37, + "grad_norm": 1.6916774429517847, + "learning_rate": 1.4438449209435259e-05, + "loss": 0.9163, + "step": 15833 + }, + { + "epoch": 0.37, + "grad_norm": 1.7024363365352506, + "learning_rate": 1.4437765432663472e-05, + "loss": 0.7956, + "step": 15834 + }, + { + "epoch": 0.37, + "grad_norm": 1.8986308289053153, + "learning_rate": 1.4437081630053614e-05, + "loss": 0.8773, + "step": 15835 + }, + { + "epoch": 0.37, + "grad_norm": 2.0598934318273887, + "learning_rate": 1.4436397801609658e-05, + "loss": 0.7695, + "step": 15836 + }, + { + "epoch": 0.37, + "grad_norm": 1.6319966877858867, + "learning_rate": 1.443571394733559e-05, + "loss": 0.812, + "step": 15837 + }, + { + "epoch": 0.37, + "grad_norm": 2.682635161614237, + "learning_rate": 1.4435030067235394e-05, + "loss": 0.8338, + "step": 15838 + }, + { + "epoch": 0.37, + "grad_norm": 0.7819092324132381, + "learning_rate": 1.4434346161313041e-05, + "loss": 0.7216, + "step": 15839 + }, + { + "epoch": 0.37, + "grad_norm": 1.5688299312348626, + "learning_rate": 1.4433662229572529e-05, + "loss": 0.8778, + "step": 15840 + }, + { + "epoch": 0.37, + "grad_norm": 1.3973100972856696, + "learning_rate": 1.4432978272017828e-05, + "loss": 0.8022, + "step": 15841 + }, + { + "epoch": 0.37, + "grad_norm": 1.7565882610526693, + "learning_rate": 1.4432294288652926e-05, + "loss": 0.9161, + "step": 15842 + }, + { + "epoch": 0.37, + "grad_norm": 3.3669119243843073, + "learning_rate": 1.4431610279481802e-05, + "loss": 0.8401, + "step": 15843 + }, + { + "epoch": 0.37, + "grad_norm": 2.909947716418847, + "learning_rate": 1.4430926244508441e-05, + "loss": 0.8018, + "step": 15844 + }, + { + "epoch": 0.37, + "grad_norm": 1.8689815731879533, + "learning_rate": 1.4430242183736824e-05, + "loss": 0.8284, + "step": 15845 + }, + { + "epoch": 0.37, + "grad_norm": 1.5664937158692436, + "learning_rate": 1.4429558097170932e-05, + "loss": 0.8119, + "step": 15846 + }, + { + "epoch": 0.37, + "grad_norm": 1.5925085983856728, + "learning_rate": 1.4428873984814755e-05, + "loss": 0.8524, + "step": 15847 + }, + { + "epoch": 0.37, + "grad_norm": 1.5821721260387094, + "learning_rate": 1.4428189846672267e-05, + "loss": 0.8434, + "step": 15848 + }, + { + "epoch": 0.37, + "grad_norm": 1.615365167178564, + "learning_rate": 1.442750568274746e-05, + "loss": 0.9731, + "step": 15849 + }, + { + "epoch": 0.37, + "grad_norm": 1.5917131144113492, + "learning_rate": 1.4426821493044312e-05, + "loss": 0.9322, + "step": 15850 + }, + { + "epoch": 0.37, + "grad_norm": 1.5515733633481619, + "learning_rate": 1.4426137277566805e-05, + "loss": 0.8891, + "step": 15851 + }, + { + "epoch": 0.37, + "grad_norm": 1.570802132516546, + "learning_rate": 1.4425453036318929e-05, + "loss": 0.9423, + "step": 15852 + }, + { + "epoch": 0.37, + "grad_norm": 1.6720854329143875, + "learning_rate": 1.4424768769304663e-05, + "loss": 0.9041, + "step": 15853 + }, + { + "epoch": 0.37, + "grad_norm": 1.7757946362624948, + "learning_rate": 1.4424084476527991e-05, + "loss": 0.9268, + "step": 15854 + }, + { + "epoch": 0.37, + "grad_norm": 1.7691916556735883, + "learning_rate": 1.44234001579929e-05, + "loss": 0.8952, + "step": 15855 + }, + { + "epoch": 0.37, + "grad_norm": 1.544467455186416, + "learning_rate": 1.4422715813703372e-05, + "loss": 0.7703, + "step": 15856 + }, + { + "epoch": 0.37, + "grad_norm": 1.6990452543735737, + "learning_rate": 1.4422031443663391e-05, + "loss": 0.8642, + "step": 15857 + }, + { + "epoch": 0.37, + "grad_norm": 1.881596706119665, + "learning_rate": 1.4421347047876945e-05, + "loss": 0.8552, + "step": 15858 + }, + { + "epoch": 0.37, + "grad_norm": 1.6732647076690417, + "learning_rate": 1.4420662626348017e-05, + "loss": 1.0003, + "step": 15859 + }, + { + "epoch": 0.37, + "grad_norm": 1.9246423455893833, + "learning_rate": 1.441997817908059e-05, + "loss": 0.94, + "step": 15860 + }, + { + "epoch": 0.37, + "grad_norm": 2.9173253241391675, + "learning_rate": 1.4419293706078654e-05, + "loss": 0.8786, + "step": 15861 + }, + { + "epoch": 0.37, + "grad_norm": 1.9407674560127888, + "learning_rate": 1.4418609207346189e-05, + "loss": 0.7503, + "step": 15862 + }, + { + "epoch": 0.37, + "grad_norm": 1.8641718940621614, + "learning_rate": 1.4417924682887181e-05, + "loss": 0.977, + "step": 15863 + }, + { + "epoch": 0.37, + "grad_norm": 1.5247898996121212, + "learning_rate": 1.4417240132705618e-05, + "loss": 0.8907, + "step": 15864 + }, + { + "epoch": 0.37, + "grad_norm": 1.7541143944590247, + "learning_rate": 1.4416555556805482e-05, + "loss": 0.7978, + "step": 15865 + }, + { + "epoch": 0.37, + "grad_norm": 0.7284425872921413, + "learning_rate": 1.4415870955190767e-05, + "loss": 0.7504, + "step": 15866 + }, + { + "epoch": 0.37, + "grad_norm": 2.2124825476006755, + "learning_rate": 1.441518632786545e-05, + "loss": 1.0181, + "step": 15867 + }, + { + "epoch": 0.37, + "grad_norm": 6.042882755721213, + "learning_rate": 1.441450167483352e-05, + "loss": 0.8772, + "step": 15868 + }, + { + "epoch": 0.37, + "grad_norm": 0.8285512557822926, + "learning_rate": 1.4413816996098962e-05, + "loss": 0.7047, + "step": 15869 + }, + { + "epoch": 0.37, + "grad_norm": 1.5790370104561353, + "learning_rate": 1.4413132291665768e-05, + "loss": 0.8592, + "step": 15870 + }, + { + "epoch": 0.37, + "grad_norm": 1.4560440914665893, + "learning_rate": 1.4412447561537919e-05, + "loss": 0.9433, + "step": 15871 + }, + { + "epoch": 0.37, + "grad_norm": 1.7701541536371628, + "learning_rate": 1.4411762805719402e-05, + "loss": 0.9428, + "step": 15872 + }, + { + "epoch": 0.37, + "grad_norm": 1.8104100373524745, + "learning_rate": 1.4411078024214207e-05, + "loss": 0.8843, + "step": 15873 + }, + { + "epoch": 0.37, + "grad_norm": 1.6295678982386004, + "learning_rate": 1.4410393217026317e-05, + "loss": 0.8162, + "step": 15874 + }, + { + "epoch": 0.37, + "grad_norm": 1.5136154992041746, + "learning_rate": 1.4409708384159724e-05, + "loss": 0.9984, + "step": 15875 + }, + { + "epoch": 0.37, + "grad_norm": 1.5309499580561239, + "learning_rate": 1.4409023525618411e-05, + "loss": 0.9245, + "step": 15876 + }, + { + "epoch": 0.37, + "grad_norm": 1.4008426909636977, + "learning_rate": 1.4408338641406368e-05, + "loss": 0.8384, + "step": 15877 + }, + { + "epoch": 0.37, + "grad_norm": 1.7615750411727318, + "learning_rate": 1.440765373152758e-05, + "loss": 0.9574, + "step": 15878 + }, + { + "epoch": 0.37, + "grad_norm": 1.7104457541222948, + "learning_rate": 1.4406968795986038e-05, + "loss": 0.8005, + "step": 15879 + }, + { + "epoch": 0.37, + "grad_norm": 1.770910660813783, + "learning_rate": 1.4406283834785728e-05, + "loss": 0.827, + "step": 15880 + }, + { + "epoch": 0.37, + "grad_norm": 1.6870979678648168, + "learning_rate": 1.4405598847930639e-05, + "loss": 0.7314, + "step": 15881 + }, + { + "epoch": 0.37, + "grad_norm": 1.6865245722830102, + "learning_rate": 1.440491383542476e-05, + "loss": 0.8898, + "step": 15882 + }, + { + "epoch": 0.37, + "grad_norm": 3.6857781326686974, + "learning_rate": 1.4404228797272076e-05, + "loss": 0.9982, + "step": 15883 + }, + { + "epoch": 0.37, + "grad_norm": 1.7345086986031955, + "learning_rate": 1.4403543733476578e-05, + "loss": 0.8979, + "step": 15884 + }, + { + "epoch": 0.37, + "grad_norm": 0.8164191381549987, + "learning_rate": 1.4402858644042254e-05, + "loss": 0.753, + "step": 15885 + }, + { + "epoch": 0.37, + "grad_norm": 1.7152183480044465, + "learning_rate": 1.4402173528973094e-05, + "loss": 0.9445, + "step": 15886 + }, + { + "epoch": 0.37, + "grad_norm": 2.178951300770026, + "learning_rate": 1.4401488388273086e-05, + "loss": 0.8963, + "step": 15887 + }, + { + "epoch": 0.37, + "grad_norm": 1.587017692923561, + "learning_rate": 1.4400803221946218e-05, + "loss": 0.9401, + "step": 15888 + }, + { + "epoch": 0.37, + "grad_norm": 1.6422025420748685, + "learning_rate": 1.4400118029996481e-05, + "loss": 0.78, + "step": 15889 + }, + { + "epoch": 0.37, + "grad_norm": 1.5894802728996675, + "learning_rate": 1.4399432812427862e-05, + "loss": 0.8301, + "step": 15890 + }, + { + "epoch": 0.37, + "grad_norm": 1.6052729522474833, + "learning_rate": 1.4398747569244355e-05, + "loss": 0.8171, + "step": 15891 + }, + { + "epoch": 0.37, + "grad_norm": 1.47379778110199, + "learning_rate": 1.4398062300449947e-05, + "loss": 0.8883, + "step": 15892 + }, + { + "epoch": 0.37, + "grad_norm": 1.6740649487107568, + "learning_rate": 1.4397377006048628e-05, + "loss": 0.8977, + "step": 15893 + }, + { + "epoch": 0.37, + "grad_norm": 1.673811276379152, + "learning_rate": 1.4396691686044386e-05, + "loss": 0.8303, + "step": 15894 + }, + { + "epoch": 0.37, + "grad_norm": 1.561034425090819, + "learning_rate": 1.4396006340441214e-05, + "loss": 0.9167, + "step": 15895 + }, + { + "epoch": 0.37, + "grad_norm": 1.670988296558092, + "learning_rate": 1.43953209692431e-05, + "loss": 1.0278, + "step": 15896 + }, + { + "epoch": 0.37, + "grad_norm": 1.7257432440558813, + "learning_rate": 1.4394635572454036e-05, + "loss": 0.9467, + "step": 15897 + }, + { + "epoch": 0.37, + "grad_norm": 1.6738732050654292, + "learning_rate": 1.4393950150078016e-05, + "loss": 0.8496, + "step": 15898 + }, + { + "epoch": 0.37, + "grad_norm": 0.7559259101265638, + "learning_rate": 1.4393264702119023e-05, + "loss": 0.7178, + "step": 15899 + }, + { + "epoch": 0.37, + "grad_norm": 1.7327704477772954, + "learning_rate": 1.4392579228581054e-05, + "loss": 0.8864, + "step": 15900 + }, + { + "epoch": 0.37, + "grad_norm": 1.9612562317816442, + "learning_rate": 1.4391893729468099e-05, + "loss": 0.9438, + "step": 15901 + }, + { + "epoch": 0.37, + "grad_norm": 1.4560299340123, + "learning_rate": 1.4391208204784146e-05, + "loss": 0.9047, + "step": 15902 + }, + { + "epoch": 0.37, + "grad_norm": 1.7895014753646534, + "learning_rate": 1.439052265453319e-05, + "loss": 0.8495, + "step": 15903 + }, + { + "epoch": 0.37, + "grad_norm": 1.5165360294809156, + "learning_rate": 1.438983707871922e-05, + "loss": 0.8441, + "step": 15904 + }, + { + "epoch": 0.37, + "grad_norm": 2.403311076668676, + "learning_rate": 1.4389151477346231e-05, + "loss": 0.7938, + "step": 15905 + }, + { + "epoch": 0.37, + "grad_norm": 2.131884398269451, + "learning_rate": 1.438846585041821e-05, + "loss": 0.7858, + "step": 15906 + }, + { + "epoch": 0.37, + "grad_norm": 1.6650853874070213, + "learning_rate": 1.4387780197939152e-05, + "loss": 0.9669, + "step": 15907 + }, + { + "epoch": 0.37, + "grad_norm": 1.612504716691442, + "learning_rate": 1.4387094519913048e-05, + "loss": 0.8216, + "step": 15908 + }, + { + "epoch": 0.37, + "grad_norm": 1.7817367278369585, + "learning_rate": 1.438640881634389e-05, + "loss": 0.9484, + "step": 15909 + }, + { + "epoch": 0.37, + "grad_norm": 1.5373477301489493, + "learning_rate": 1.4385723087235674e-05, + "loss": 0.8774, + "step": 15910 + }, + { + "epoch": 0.37, + "grad_norm": 1.7394058074146292, + "learning_rate": 1.438503733259239e-05, + "loss": 0.8879, + "step": 15911 + }, + { + "epoch": 0.37, + "grad_norm": 2.0790090680321476, + "learning_rate": 1.4384351552418027e-05, + "loss": 0.8679, + "step": 15912 + }, + { + "epoch": 0.37, + "grad_norm": 2.228719277687429, + "learning_rate": 1.4383665746716582e-05, + "loss": 0.9071, + "step": 15913 + }, + { + "epoch": 0.37, + "grad_norm": 0.7801966642087436, + "learning_rate": 1.4382979915492051e-05, + "loss": 0.6967, + "step": 15914 + }, + { + "epoch": 0.37, + "grad_norm": 1.7554475438211874, + "learning_rate": 1.4382294058748421e-05, + "loss": 0.8825, + "step": 15915 + }, + { + "epoch": 0.37, + "grad_norm": 0.7403832030394455, + "learning_rate": 1.4381608176489686e-05, + "loss": 0.7967, + "step": 15916 + }, + { + "epoch": 0.37, + "grad_norm": 1.5410119449942614, + "learning_rate": 1.438092226871984e-05, + "loss": 0.9057, + "step": 15917 + }, + { + "epoch": 0.38, + "grad_norm": 1.8721749002148171, + "learning_rate": 1.438023633544288e-05, + "loss": 0.8595, + "step": 15918 + }, + { + "epoch": 0.38, + "grad_norm": 1.8662388934129286, + "learning_rate": 1.4379550376662799e-05, + "loss": 0.8422, + "step": 15919 + }, + { + "epoch": 0.38, + "grad_norm": 1.925003038271799, + "learning_rate": 1.4378864392383585e-05, + "loss": 0.7942, + "step": 15920 + }, + { + "epoch": 0.38, + "grad_norm": 1.4406349654128416, + "learning_rate": 1.437817838260924e-05, + "loss": 0.9125, + "step": 15921 + }, + { + "epoch": 0.38, + "grad_norm": 0.7739235729417674, + "learning_rate": 1.4377492347343753e-05, + "loss": 0.7475, + "step": 15922 + }, + { + "epoch": 0.38, + "grad_norm": 0.7938898613632842, + "learning_rate": 1.4376806286591118e-05, + "loss": 0.7624, + "step": 15923 + }, + { + "epoch": 0.38, + "grad_norm": 1.616790030707568, + "learning_rate": 1.4376120200355334e-05, + "loss": 0.7924, + "step": 15924 + }, + { + "epoch": 0.38, + "grad_norm": 1.8158951873079836, + "learning_rate": 1.437543408864039e-05, + "loss": 0.9913, + "step": 15925 + }, + { + "epoch": 0.38, + "grad_norm": 2.750492101764345, + "learning_rate": 1.4374747951450285e-05, + "loss": 0.8331, + "step": 15926 + }, + { + "epoch": 0.38, + "grad_norm": 0.755706930432019, + "learning_rate": 1.4374061788789014e-05, + "loss": 0.7784, + "step": 15927 + }, + { + "epoch": 0.38, + "grad_norm": 1.9337671381583388, + "learning_rate": 1.4373375600660567e-05, + "loss": 0.9778, + "step": 15928 + }, + { + "epoch": 0.38, + "grad_norm": 1.833578684403201, + "learning_rate": 1.4372689387068943e-05, + "loss": 0.9398, + "step": 15929 + }, + { + "epoch": 0.38, + "grad_norm": 0.7643681004835257, + "learning_rate": 1.4372003148018139e-05, + "loss": 0.7219, + "step": 15930 + }, + { + "epoch": 0.38, + "grad_norm": 0.94792082668785, + "learning_rate": 1.4371316883512147e-05, + "loss": 0.7703, + "step": 15931 + }, + { + "epoch": 0.38, + "grad_norm": 1.6137923542571533, + "learning_rate": 1.4370630593554965e-05, + "loss": 0.9455, + "step": 15932 + }, + { + "epoch": 0.38, + "grad_norm": 1.7697400457784036, + "learning_rate": 1.4369944278150587e-05, + "loss": 0.908, + "step": 15933 + }, + { + "epoch": 0.38, + "grad_norm": 3.8143619293679563, + "learning_rate": 1.4369257937303012e-05, + "loss": 0.8669, + "step": 15934 + }, + { + "epoch": 0.38, + "grad_norm": 1.5757207768201946, + "learning_rate": 1.4368571571016232e-05, + "loss": 0.944, + "step": 15935 + }, + { + "epoch": 0.38, + "grad_norm": 2.482568825913921, + "learning_rate": 1.4367885179294248e-05, + "loss": 0.8423, + "step": 15936 + }, + { + "epoch": 0.38, + "grad_norm": 1.9701825816114065, + "learning_rate": 1.436719876214105e-05, + "loss": 0.9469, + "step": 15937 + }, + { + "epoch": 0.38, + "grad_norm": 7.7137545480323535, + "learning_rate": 1.4366512319560642e-05, + "loss": 0.9797, + "step": 15938 + }, + { + "epoch": 0.38, + "grad_norm": 2.6685342336246802, + "learning_rate": 1.4365825851557012e-05, + "loss": 0.8581, + "step": 15939 + }, + { + "epoch": 0.38, + "grad_norm": 0.7650204090187913, + "learning_rate": 1.4365139358134166e-05, + "loss": 0.7159, + "step": 15940 + }, + { + "epoch": 0.38, + "grad_norm": 0.7481256018038488, + "learning_rate": 1.4364452839296092e-05, + "loss": 0.7963, + "step": 15941 + }, + { + "epoch": 0.38, + "grad_norm": 1.6111894028185585, + "learning_rate": 1.4363766295046797e-05, + "loss": 1.0017, + "step": 15942 + }, + { + "epoch": 0.38, + "grad_norm": 1.7984768138754548, + "learning_rate": 1.436307972539027e-05, + "loss": 0.8916, + "step": 15943 + }, + { + "epoch": 0.38, + "grad_norm": 1.5201102281642962, + "learning_rate": 1.4362393130330512e-05, + "loss": 0.798, + "step": 15944 + }, + { + "epoch": 0.38, + "grad_norm": 2.237045425132667, + "learning_rate": 1.4361706509871523e-05, + "loss": 0.8581, + "step": 15945 + }, + { + "epoch": 0.38, + "grad_norm": 1.7225911147793258, + "learning_rate": 1.4361019864017293e-05, + "loss": 0.8483, + "step": 15946 + }, + { + "epoch": 0.38, + "grad_norm": 3.9115101065263036, + "learning_rate": 1.436033319277183e-05, + "loss": 0.9049, + "step": 15947 + }, + { + "epoch": 0.38, + "grad_norm": 1.6536243104527457, + "learning_rate": 1.4359646496139122e-05, + "loss": 0.8586, + "step": 15948 + }, + { + "epoch": 0.38, + "grad_norm": 3.4674476384985904, + "learning_rate": 1.4358959774123174e-05, + "loss": 0.9464, + "step": 15949 + }, + { + "epoch": 0.38, + "grad_norm": 1.605059765920261, + "learning_rate": 1.435827302672798e-05, + "loss": 0.777, + "step": 15950 + }, + { + "epoch": 0.38, + "grad_norm": 1.729536998674166, + "learning_rate": 1.4357586253957545e-05, + "loss": 0.953, + "step": 15951 + }, + { + "epoch": 0.38, + "grad_norm": 0.7597134284423748, + "learning_rate": 1.435689945581586e-05, + "loss": 0.7105, + "step": 15952 + }, + { + "epoch": 0.38, + "grad_norm": 1.6559295858524465, + "learning_rate": 1.4356212632306927e-05, + "loss": 0.8332, + "step": 15953 + }, + { + "epoch": 0.38, + "grad_norm": 1.60662922610817, + "learning_rate": 1.4355525783434746e-05, + "loss": 0.8652, + "step": 15954 + }, + { + "epoch": 0.38, + "grad_norm": 2.1073434973429137, + "learning_rate": 1.4354838909203315e-05, + "loss": 0.8966, + "step": 15955 + }, + { + "epoch": 0.38, + "grad_norm": 1.5114079917687853, + "learning_rate": 1.4354152009616634e-05, + "loss": 0.9479, + "step": 15956 + }, + { + "epoch": 0.38, + "grad_norm": 1.7051646550763806, + "learning_rate": 1.4353465084678697e-05, + "loss": 0.8516, + "step": 15957 + }, + { + "epoch": 0.38, + "grad_norm": 1.5833061602914962, + "learning_rate": 1.4352778134393513e-05, + "loss": 0.8078, + "step": 15958 + }, + { + "epoch": 0.38, + "grad_norm": 1.6730000400929366, + "learning_rate": 1.4352091158765074e-05, + "loss": 0.9337, + "step": 15959 + }, + { + "epoch": 0.38, + "grad_norm": 1.6369053350303737, + "learning_rate": 1.4351404157797383e-05, + "loss": 1.0904, + "step": 15960 + }, + { + "epoch": 0.38, + "grad_norm": 1.810667084479689, + "learning_rate": 1.4350717131494438e-05, + "loss": 0.9328, + "step": 15961 + }, + { + "epoch": 0.38, + "grad_norm": 2.059989486663376, + "learning_rate": 1.4350030079860245e-05, + "loss": 0.8665, + "step": 15962 + }, + { + "epoch": 0.38, + "grad_norm": 1.7110707464041608, + "learning_rate": 1.4349343002898795e-05, + "loss": 0.9187, + "step": 15963 + }, + { + "epoch": 0.38, + "grad_norm": 1.534490409554429, + "learning_rate": 1.4348655900614094e-05, + "loss": 0.9886, + "step": 15964 + }, + { + "epoch": 0.38, + "grad_norm": 1.7894456982985452, + "learning_rate": 1.4347968773010143e-05, + "loss": 0.8788, + "step": 15965 + }, + { + "epoch": 0.38, + "grad_norm": 1.6066471865812388, + "learning_rate": 1.4347281620090942e-05, + "loss": 0.8223, + "step": 15966 + }, + { + "epoch": 0.38, + "grad_norm": 1.4765638804165155, + "learning_rate": 1.434659444186049e-05, + "loss": 0.8715, + "step": 15967 + }, + { + "epoch": 0.38, + "grad_norm": 1.740697925078957, + "learning_rate": 1.434590723832279e-05, + "loss": 0.9561, + "step": 15968 + }, + { + "epoch": 0.38, + "grad_norm": 1.8818386569174224, + "learning_rate": 1.4345220009481837e-05, + "loss": 0.8863, + "step": 15969 + }, + { + "epoch": 0.38, + "grad_norm": 1.7250738409342272, + "learning_rate": 1.4344532755341645e-05, + "loss": 0.9009, + "step": 15970 + }, + { + "epoch": 0.38, + "grad_norm": 1.771904915302908, + "learning_rate": 1.4343845475906201e-05, + "loss": 0.8703, + "step": 15971 + }, + { + "epoch": 0.38, + "grad_norm": 1.498033593576951, + "learning_rate": 1.434315817117952e-05, + "loss": 0.9406, + "step": 15972 + }, + { + "epoch": 0.38, + "grad_norm": 2.0303957073714067, + "learning_rate": 1.4342470841165592e-05, + "loss": 0.846, + "step": 15973 + }, + { + "epoch": 0.38, + "grad_norm": 2.4062683879505604, + "learning_rate": 1.4341783485868426e-05, + "loss": 0.882, + "step": 15974 + }, + { + "epoch": 0.38, + "grad_norm": 1.608566263065127, + "learning_rate": 1.4341096105292021e-05, + "loss": 0.866, + "step": 15975 + }, + { + "epoch": 0.38, + "grad_norm": 1.6265414104931848, + "learning_rate": 1.434040869944038e-05, + "loss": 0.7228, + "step": 15976 + }, + { + "epoch": 0.38, + "grad_norm": 1.5749736197241841, + "learning_rate": 1.4339721268317508e-05, + "loss": 0.9201, + "step": 15977 + }, + { + "epoch": 0.38, + "grad_norm": 1.575472662583977, + "learning_rate": 1.43390338119274e-05, + "loss": 0.9186, + "step": 15978 + }, + { + "epoch": 0.38, + "grad_norm": 1.5570422760120068, + "learning_rate": 1.4338346330274067e-05, + "loss": 0.8628, + "step": 15979 + }, + { + "epoch": 0.38, + "grad_norm": 1.6358849726816356, + "learning_rate": 1.4337658823361509e-05, + "loss": 0.8542, + "step": 15980 + }, + { + "epoch": 0.38, + "grad_norm": 1.7462345109457302, + "learning_rate": 1.4336971291193726e-05, + "loss": 0.812, + "step": 15981 + }, + { + "epoch": 0.38, + "grad_norm": 1.7876313963935806, + "learning_rate": 1.4336283733774722e-05, + "loss": 0.8348, + "step": 15982 + }, + { + "epoch": 0.38, + "grad_norm": 1.7052057003508856, + "learning_rate": 1.4335596151108504e-05, + "loss": 0.7997, + "step": 15983 + }, + { + "epoch": 0.38, + "grad_norm": 1.6031770509726608, + "learning_rate": 1.433490854319907e-05, + "loss": 0.9386, + "step": 15984 + }, + { + "epoch": 0.38, + "grad_norm": 2.0419398269417752, + "learning_rate": 1.4334220910050429e-05, + "loss": 0.9241, + "step": 15985 + }, + { + "epoch": 0.38, + "grad_norm": 1.6657623421872256, + "learning_rate": 1.433353325166658e-05, + "loss": 0.8174, + "step": 15986 + }, + { + "epoch": 0.38, + "grad_norm": 1.5569383964316152, + "learning_rate": 1.4332845568051532e-05, + "loss": 0.8642, + "step": 15987 + }, + { + "epoch": 0.38, + "grad_norm": 0.8350920446502456, + "learning_rate": 1.4332157859209278e-05, + "loss": 0.8053, + "step": 15988 + }, + { + "epoch": 0.38, + "grad_norm": 2.0255604791600037, + "learning_rate": 1.4331470125143835e-05, + "loss": 0.8983, + "step": 15989 + }, + { + "epoch": 0.38, + "grad_norm": 1.6336523129089375, + "learning_rate": 1.43307823658592e-05, + "loss": 0.8876, + "step": 15990 + }, + { + "epoch": 0.38, + "grad_norm": 1.9799280996958204, + "learning_rate": 1.433009458135938e-05, + "loss": 0.775, + "step": 15991 + }, + { + "epoch": 0.38, + "grad_norm": 1.9228593929723683, + "learning_rate": 1.4329406771648375e-05, + "loss": 0.918, + "step": 15992 + }, + { + "epoch": 0.38, + "grad_norm": 2.052624524244903, + "learning_rate": 1.4328718936730197e-05, + "loss": 0.9087, + "step": 15993 + }, + { + "epoch": 0.38, + "grad_norm": 1.9443289846102458, + "learning_rate": 1.4328031076608847e-05, + "loss": 0.8241, + "step": 15994 + }, + { + "epoch": 0.38, + "grad_norm": 1.049317993302208, + "learning_rate": 1.4327343191288325e-05, + "loss": 0.7115, + "step": 15995 + }, + { + "epoch": 0.38, + "grad_norm": 2.020024246653382, + "learning_rate": 1.4326655280772648e-05, + "loss": 0.8859, + "step": 15996 + }, + { + "epoch": 0.38, + "grad_norm": 1.6431858673816049, + "learning_rate": 1.4325967345065808e-05, + "loss": 0.9797, + "step": 15997 + }, + { + "epoch": 0.38, + "grad_norm": 1.6301084863284592, + "learning_rate": 1.432527938417182e-05, + "loss": 0.8545, + "step": 15998 + }, + { + "epoch": 0.38, + "grad_norm": 2.2537363636711327, + "learning_rate": 1.4324591398094683e-05, + "loss": 0.8554, + "step": 15999 + }, + { + "epoch": 0.38, + "grad_norm": 1.602153702430731, + "learning_rate": 1.4323903386838409e-05, + "loss": 0.8561, + "step": 16000 + }, + { + "epoch": 0.38, + "grad_norm": 0.798264155186669, + "learning_rate": 1.4323215350406998e-05, + "loss": 0.737, + "step": 16001 + }, + { + "epoch": 0.38, + "grad_norm": 1.963101597839504, + "learning_rate": 1.4322527288804461e-05, + "loss": 0.8531, + "step": 16002 + }, + { + "epoch": 0.38, + "grad_norm": 1.428775689593906, + "learning_rate": 1.4321839202034799e-05, + "loss": 0.887, + "step": 16003 + }, + { + "epoch": 0.38, + "grad_norm": 1.7092966810015404, + "learning_rate": 1.4321151090102024e-05, + "loss": 0.938, + "step": 16004 + }, + { + "epoch": 0.38, + "grad_norm": 1.5174975116425575, + "learning_rate": 1.4320462953010137e-05, + "loss": 0.8551, + "step": 16005 + }, + { + "epoch": 0.38, + "grad_norm": 1.5247581946979676, + "learning_rate": 1.4319774790763148e-05, + "loss": 0.9004, + "step": 16006 + }, + { + "epoch": 0.38, + "grad_norm": 1.6507089570089444, + "learning_rate": 1.4319086603365062e-05, + "loss": 0.9597, + "step": 16007 + }, + { + "epoch": 0.38, + "grad_norm": 1.59846864273824, + "learning_rate": 1.4318398390819885e-05, + "loss": 0.8154, + "step": 16008 + }, + { + "epoch": 0.38, + "grad_norm": 0.708956727285678, + "learning_rate": 1.4317710153131628e-05, + "loss": 0.7223, + "step": 16009 + }, + { + "epoch": 0.38, + "grad_norm": 2.0940484763397995, + "learning_rate": 1.4317021890304294e-05, + "loss": 0.9761, + "step": 16010 + }, + { + "epoch": 0.38, + "grad_norm": 1.5833780287763346, + "learning_rate": 1.4316333602341892e-05, + "loss": 0.8563, + "step": 16011 + }, + { + "epoch": 0.38, + "grad_norm": 2.0046265925156255, + "learning_rate": 1.431564528924843e-05, + "loss": 1.0156, + "step": 16012 + }, + { + "epoch": 0.38, + "grad_norm": 1.643952260830392, + "learning_rate": 1.4314956951027914e-05, + "loss": 0.8971, + "step": 16013 + }, + { + "epoch": 0.38, + "grad_norm": 2.0219692175153554, + "learning_rate": 1.4314268587684353e-05, + "loss": 0.8537, + "step": 16014 + }, + { + "epoch": 0.38, + "grad_norm": 2.348129984424284, + "learning_rate": 1.4313580199221754e-05, + "loss": 0.8874, + "step": 16015 + }, + { + "epoch": 0.38, + "grad_norm": 1.575033345807746, + "learning_rate": 1.4312891785644124e-05, + "loss": 1.0248, + "step": 16016 + }, + { + "epoch": 0.38, + "grad_norm": 1.6863674632932963, + "learning_rate": 1.4312203346955478e-05, + "loss": 0.8447, + "step": 16017 + }, + { + "epoch": 0.38, + "grad_norm": 0.7920295609720672, + "learning_rate": 1.4311514883159812e-05, + "loss": 0.7359, + "step": 16018 + }, + { + "epoch": 0.38, + "grad_norm": 1.4578619494840745, + "learning_rate": 1.4310826394261148e-05, + "loss": 0.8666, + "step": 16019 + }, + { + "epoch": 0.38, + "grad_norm": 1.8236216659945501, + "learning_rate": 1.4310137880263481e-05, + "loss": 0.9609, + "step": 16020 + }, + { + "epoch": 0.38, + "grad_norm": 1.9479192160119665, + "learning_rate": 1.4309449341170832e-05, + "loss": 0.8904, + "step": 16021 + }, + { + "epoch": 0.38, + "grad_norm": 1.7613460031691244, + "learning_rate": 1.43087607769872e-05, + "loss": 0.901, + "step": 16022 + }, + { + "epoch": 0.38, + "grad_norm": 0.7447547856617839, + "learning_rate": 1.4308072187716604e-05, + "loss": 0.7341, + "step": 16023 + }, + { + "epoch": 0.38, + "grad_norm": 2.0057172641933527, + "learning_rate": 1.4307383573363044e-05, + "loss": 0.7972, + "step": 16024 + }, + { + "epoch": 0.38, + "grad_norm": 2.0711752666882095, + "learning_rate": 1.4306694933930537e-05, + "loss": 0.8182, + "step": 16025 + }, + { + "epoch": 0.38, + "grad_norm": 1.803793865291469, + "learning_rate": 1.4306006269423082e-05, + "loss": 1.0058, + "step": 16026 + }, + { + "epoch": 0.38, + "grad_norm": 0.886088563096927, + "learning_rate": 1.4305317579844701e-05, + "loss": 0.7163, + "step": 16027 + }, + { + "epoch": 0.38, + "grad_norm": 2.0631128191883805, + "learning_rate": 1.4304628865199397e-05, + "loss": 0.9412, + "step": 16028 + }, + { + "epoch": 0.38, + "grad_norm": 1.4390680246911747, + "learning_rate": 1.4303940125491175e-05, + "loss": 0.9081, + "step": 16029 + }, + { + "epoch": 0.38, + "grad_norm": 1.5795925016358727, + "learning_rate": 1.430325136072406e-05, + "loss": 0.9984, + "step": 16030 + }, + { + "epoch": 0.38, + "grad_norm": 0.768744231530637, + "learning_rate": 1.4302562570902048e-05, + "loss": 0.7301, + "step": 16031 + }, + { + "epoch": 0.38, + "grad_norm": 1.6473076553822406, + "learning_rate": 1.4301873756029156e-05, + "loss": 0.7768, + "step": 16032 + }, + { + "epoch": 0.38, + "grad_norm": 1.4121690778061984, + "learning_rate": 1.4301184916109395e-05, + "loss": 0.8019, + "step": 16033 + }, + { + "epoch": 0.38, + "grad_norm": 1.6088068030904483, + "learning_rate": 1.430049605114677e-05, + "loss": 0.9804, + "step": 16034 + }, + { + "epoch": 0.38, + "grad_norm": 1.824001985596462, + "learning_rate": 1.4299807161145297e-05, + "loss": 0.8453, + "step": 16035 + }, + { + "epoch": 0.38, + "grad_norm": 1.471334287075639, + "learning_rate": 1.4299118246108985e-05, + "loss": 0.9289, + "step": 16036 + }, + { + "epoch": 0.38, + "grad_norm": 1.8045008932383217, + "learning_rate": 1.4298429306041846e-05, + "loss": 0.9816, + "step": 16037 + }, + { + "epoch": 0.38, + "grad_norm": 1.764518205798001, + "learning_rate": 1.4297740340947891e-05, + "loss": 0.7572, + "step": 16038 + }, + { + "epoch": 0.38, + "grad_norm": 3.1152260476968197, + "learning_rate": 1.429705135083113e-05, + "loss": 0.9214, + "step": 16039 + }, + { + "epoch": 0.38, + "grad_norm": 1.5979330312157776, + "learning_rate": 1.4296362335695578e-05, + "loss": 0.7547, + "step": 16040 + }, + { + "epoch": 0.38, + "grad_norm": 1.9254703022993707, + "learning_rate": 1.429567329554524e-05, + "loss": 0.8626, + "step": 16041 + }, + { + "epoch": 0.38, + "grad_norm": 1.6038869779605838, + "learning_rate": 1.4294984230384135e-05, + "loss": 0.9568, + "step": 16042 + }, + { + "epoch": 0.38, + "grad_norm": 0.7268467172267267, + "learning_rate": 1.429429514021627e-05, + "loss": 0.7168, + "step": 16043 + }, + { + "epoch": 0.38, + "grad_norm": 2.788737656137684, + "learning_rate": 1.4293606025045663e-05, + "loss": 0.7997, + "step": 16044 + }, + { + "epoch": 0.38, + "grad_norm": 1.518856214634286, + "learning_rate": 1.429291688487632e-05, + "loss": 0.8301, + "step": 16045 + }, + { + "epoch": 0.38, + "grad_norm": 1.9611114665904783, + "learning_rate": 1.4292227719712254e-05, + "loss": 0.7567, + "step": 16046 + }, + { + "epoch": 0.38, + "grad_norm": 1.8057687024977433, + "learning_rate": 1.4291538529557485e-05, + "loss": 0.9441, + "step": 16047 + }, + { + "epoch": 0.38, + "grad_norm": 2.086729575083095, + "learning_rate": 1.4290849314416014e-05, + "loss": 0.8541, + "step": 16048 + }, + { + "epoch": 0.38, + "grad_norm": 1.824505879703375, + "learning_rate": 1.4290160074291864e-05, + "loss": 0.9829, + "step": 16049 + }, + { + "epoch": 0.38, + "grad_norm": 1.7483018544975377, + "learning_rate": 1.4289470809189039e-05, + "loss": 0.8531, + "step": 16050 + }, + { + "epoch": 0.38, + "grad_norm": 1.617449365734648, + "learning_rate": 1.4288781519111563e-05, + "loss": 0.9253, + "step": 16051 + }, + { + "epoch": 0.38, + "grad_norm": 1.7460101884056938, + "learning_rate": 1.428809220406344e-05, + "loss": 0.9654, + "step": 16052 + }, + { + "epoch": 0.38, + "grad_norm": 1.5497682985310586, + "learning_rate": 1.4287402864048686e-05, + "loss": 0.8621, + "step": 16053 + }, + { + "epoch": 0.38, + "grad_norm": 1.49790038744163, + "learning_rate": 1.4286713499071313e-05, + "loss": 0.984, + "step": 16054 + }, + { + "epoch": 0.38, + "grad_norm": 1.6142954997380097, + "learning_rate": 1.428602410913534e-05, + "loss": 1.0192, + "step": 16055 + }, + { + "epoch": 0.38, + "grad_norm": 1.5650529804194648, + "learning_rate": 1.4285334694244778e-05, + "loss": 0.9425, + "step": 16056 + }, + { + "epoch": 0.38, + "grad_norm": 1.6985308120387468, + "learning_rate": 1.4284645254403642e-05, + "loss": 0.9814, + "step": 16057 + }, + { + "epoch": 0.38, + "grad_norm": 1.5990955980648989, + "learning_rate": 1.4283955789615942e-05, + "loss": 0.844, + "step": 16058 + }, + { + "epoch": 0.38, + "grad_norm": 1.4537601963319071, + "learning_rate": 1.4283266299885696e-05, + "loss": 0.8925, + "step": 16059 + }, + { + "epoch": 0.38, + "grad_norm": 1.8838487200575154, + "learning_rate": 1.4282576785216917e-05, + "loss": 0.9096, + "step": 16060 + }, + { + "epoch": 0.38, + "grad_norm": 1.4543401809447942, + "learning_rate": 1.4281887245613621e-05, + "loss": 0.9753, + "step": 16061 + }, + { + "epoch": 0.38, + "grad_norm": 1.8271008751141335, + "learning_rate": 1.4281197681079821e-05, + "loss": 0.9003, + "step": 16062 + }, + { + "epoch": 0.38, + "grad_norm": 1.515098393573591, + "learning_rate": 1.4280508091619534e-05, + "loss": 0.7022, + "step": 16063 + }, + { + "epoch": 0.38, + "grad_norm": 1.8290625000054992, + "learning_rate": 1.4279818477236773e-05, + "loss": 0.9131, + "step": 16064 + }, + { + "epoch": 0.38, + "grad_norm": 1.4313339205980933, + "learning_rate": 1.4279128837935554e-05, + "loss": 0.8552, + "step": 16065 + }, + { + "epoch": 0.38, + "grad_norm": 1.609059528207484, + "learning_rate": 1.4278439173719892e-05, + "loss": 0.8711, + "step": 16066 + }, + { + "epoch": 0.38, + "grad_norm": 1.5080853195367574, + "learning_rate": 1.4277749484593801e-05, + "loss": 0.9262, + "step": 16067 + }, + { + "epoch": 0.38, + "grad_norm": 1.6223024750318291, + "learning_rate": 1.4277059770561304e-05, + "loss": 1.0064, + "step": 16068 + }, + { + "epoch": 0.38, + "grad_norm": 1.7491045862098271, + "learning_rate": 1.4276370031626403e-05, + "loss": 1.0119, + "step": 16069 + }, + { + "epoch": 0.38, + "grad_norm": 2.0825905420767583, + "learning_rate": 1.4275680267793125e-05, + "loss": 0.7967, + "step": 16070 + }, + { + "epoch": 0.38, + "grad_norm": 1.9843624804917996, + "learning_rate": 1.4274990479065483e-05, + "loss": 0.9045, + "step": 16071 + }, + { + "epoch": 0.38, + "grad_norm": 1.6952163855067535, + "learning_rate": 1.4274300665447496e-05, + "loss": 0.8476, + "step": 16072 + }, + { + "epoch": 0.38, + "grad_norm": 1.7526447365882634, + "learning_rate": 1.4273610826943171e-05, + "loss": 0.9252, + "step": 16073 + }, + { + "epoch": 0.38, + "grad_norm": 1.7387792811767144, + "learning_rate": 1.4272920963556537e-05, + "loss": 0.727, + "step": 16074 + }, + { + "epoch": 0.38, + "grad_norm": 1.7296060255959798, + "learning_rate": 1.4272231075291603e-05, + "loss": 1.0458, + "step": 16075 + }, + { + "epoch": 0.38, + "grad_norm": 1.9374933738989353, + "learning_rate": 1.4271541162152385e-05, + "loss": 0.9337, + "step": 16076 + }, + { + "epoch": 0.38, + "grad_norm": 0.8080076789463957, + "learning_rate": 1.4270851224142904e-05, + "loss": 0.7652, + "step": 16077 + }, + { + "epoch": 0.38, + "grad_norm": 1.5232507761665317, + "learning_rate": 1.427016126126717e-05, + "loss": 0.9386, + "step": 16078 + }, + { + "epoch": 0.38, + "grad_norm": 0.7522725738811723, + "learning_rate": 1.4269471273529212e-05, + "loss": 0.7714, + "step": 16079 + }, + { + "epoch": 0.38, + "grad_norm": 1.6626433839195198, + "learning_rate": 1.4268781260933034e-05, + "loss": 0.9382, + "step": 16080 + }, + { + "epoch": 0.38, + "grad_norm": 1.573148024216689, + "learning_rate": 1.4268091223482667e-05, + "loss": 0.8042, + "step": 16081 + }, + { + "epoch": 0.38, + "grad_norm": 2.129784857980236, + "learning_rate": 1.4267401161182117e-05, + "loss": 0.8688, + "step": 16082 + }, + { + "epoch": 0.38, + "grad_norm": 1.6762658831223043, + "learning_rate": 1.4266711074035408e-05, + "loss": 0.9362, + "step": 16083 + }, + { + "epoch": 0.38, + "grad_norm": 1.7547905932333785, + "learning_rate": 1.4266020962046555e-05, + "loss": 0.8292, + "step": 16084 + }, + { + "epoch": 0.38, + "grad_norm": 2.3666609929385682, + "learning_rate": 1.4265330825219578e-05, + "loss": 0.8252, + "step": 16085 + }, + { + "epoch": 0.38, + "grad_norm": 1.6308260107268082, + "learning_rate": 1.4264640663558496e-05, + "loss": 0.9012, + "step": 16086 + }, + { + "epoch": 0.38, + "grad_norm": 0.743134362462855, + "learning_rate": 1.4263950477067326e-05, + "loss": 0.7406, + "step": 16087 + }, + { + "epoch": 0.38, + "grad_norm": 1.4896647648701489, + "learning_rate": 1.4263260265750085e-05, + "loss": 0.9251, + "step": 16088 + }, + { + "epoch": 0.38, + "grad_norm": 2.575613443766245, + "learning_rate": 1.4262570029610792e-05, + "loss": 0.9963, + "step": 16089 + }, + { + "epoch": 0.38, + "grad_norm": 1.5448168532833588, + "learning_rate": 1.4261879768653469e-05, + "loss": 1.0692, + "step": 16090 + }, + { + "epoch": 0.38, + "grad_norm": 1.7844946403162514, + "learning_rate": 1.4261189482882131e-05, + "loss": 0.8909, + "step": 16091 + }, + { + "epoch": 0.38, + "grad_norm": 1.5596189319264349, + "learning_rate": 1.4260499172300798e-05, + "loss": 0.916, + "step": 16092 + }, + { + "epoch": 0.38, + "grad_norm": 1.6427702850880286, + "learning_rate": 1.425980883691349e-05, + "loss": 0.9252, + "step": 16093 + }, + { + "epoch": 0.38, + "grad_norm": 1.5039194723421188, + "learning_rate": 1.425911847672423e-05, + "loss": 0.9412, + "step": 16094 + }, + { + "epoch": 0.38, + "grad_norm": 1.8559669335450386, + "learning_rate": 1.4258428091737031e-05, + "loss": 0.9594, + "step": 16095 + }, + { + "epoch": 0.38, + "grad_norm": 1.3903840812875192, + "learning_rate": 1.425773768195592e-05, + "loss": 0.8299, + "step": 16096 + }, + { + "epoch": 0.38, + "grad_norm": 1.6868826768492142, + "learning_rate": 1.4257047247384904e-05, + "loss": 0.9644, + "step": 16097 + }, + { + "epoch": 0.38, + "grad_norm": 1.5669002682562103, + "learning_rate": 1.4256356788028018e-05, + "loss": 1.0383, + "step": 16098 + }, + { + "epoch": 0.38, + "grad_norm": 1.8343673454955114, + "learning_rate": 1.425566630388927e-05, + "loss": 0.875, + "step": 16099 + }, + { + "epoch": 0.38, + "grad_norm": 1.8003100698023302, + "learning_rate": 1.425497579497269e-05, + "loss": 0.801, + "step": 16100 + }, + { + "epoch": 0.38, + "grad_norm": 1.9245687235895999, + "learning_rate": 1.425428526128229e-05, + "loss": 0.8879, + "step": 16101 + }, + { + "epoch": 0.38, + "grad_norm": 1.5176653451844866, + "learning_rate": 1.42535947028221e-05, + "loss": 0.9216, + "step": 16102 + }, + { + "epoch": 0.38, + "grad_norm": 1.5754233839707295, + "learning_rate": 1.4252904119596129e-05, + "loss": 0.8122, + "step": 16103 + }, + { + "epoch": 0.38, + "grad_norm": 1.45549080864164, + "learning_rate": 1.4252213511608406e-05, + "loss": 0.8611, + "step": 16104 + }, + { + "epoch": 0.38, + "grad_norm": 1.5212294566959312, + "learning_rate": 1.425152287886295e-05, + "loss": 0.8725, + "step": 16105 + }, + { + "epoch": 0.38, + "grad_norm": 1.7929512608211216, + "learning_rate": 1.4250832221363782e-05, + "loss": 0.8908, + "step": 16106 + }, + { + "epoch": 0.38, + "grad_norm": 1.7552748677615169, + "learning_rate": 1.425014153911492e-05, + "loss": 0.9644, + "step": 16107 + }, + { + "epoch": 0.38, + "grad_norm": 1.496476225920551, + "learning_rate": 1.4249450832120393e-05, + "loss": 0.85, + "step": 16108 + }, + { + "epoch": 0.38, + "grad_norm": 1.6837528025638704, + "learning_rate": 1.4248760100384216e-05, + "loss": 0.8405, + "step": 16109 + }, + { + "epoch": 0.38, + "grad_norm": 1.6505692789657935, + "learning_rate": 1.4248069343910412e-05, + "loss": 0.8772, + "step": 16110 + }, + { + "epoch": 0.38, + "grad_norm": 1.644700108934761, + "learning_rate": 1.4247378562703004e-05, + "loss": 0.9714, + "step": 16111 + }, + { + "epoch": 0.38, + "grad_norm": 1.6757517985513022, + "learning_rate": 1.4246687756766013e-05, + "loss": 0.9424, + "step": 16112 + }, + { + "epoch": 0.38, + "grad_norm": 1.6959445124719874, + "learning_rate": 1.424599692610346e-05, + "loss": 1.0756, + "step": 16113 + }, + { + "epoch": 0.38, + "grad_norm": 1.6738424085975205, + "learning_rate": 1.424530607071937e-05, + "loss": 0.9195, + "step": 16114 + }, + { + "epoch": 0.38, + "grad_norm": 2.24515353587595, + "learning_rate": 1.4244615190617765e-05, + "loss": 0.8875, + "step": 16115 + }, + { + "epoch": 0.38, + "grad_norm": 1.6802211881165245, + "learning_rate": 1.4243924285802665e-05, + "loss": 0.8931, + "step": 16116 + }, + { + "epoch": 0.38, + "grad_norm": 1.6196381144675875, + "learning_rate": 1.4243233356278097e-05, + "loss": 0.8544, + "step": 16117 + }, + { + "epoch": 0.38, + "grad_norm": 1.9188695826220028, + "learning_rate": 1.4242542402048076e-05, + "loss": 0.9037, + "step": 16118 + }, + { + "epoch": 0.38, + "grad_norm": 2.2097129690430894, + "learning_rate": 1.4241851423116634e-05, + "loss": 0.9432, + "step": 16119 + }, + { + "epoch": 0.38, + "grad_norm": 1.5264511109923744, + "learning_rate": 1.4241160419487789e-05, + "loss": 0.8848, + "step": 16120 + }, + { + "epoch": 0.38, + "grad_norm": 2.209348498064746, + "learning_rate": 1.4240469391165569e-05, + "loss": 0.898, + "step": 16121 + }, + { + "epoch": 0.38, + "grad_norm": 1.7897844131167981, + "learning_rate": 1.4239778338153984e-05, + "loss": 0.8871, + "step": 16122 + }, + { + "epoch": 0.38, + "grad_norm": 1.8042428909398789, + "learning_rate": 1.4239087260457076e-05, + "loss": 0.8299, + "step": 16123 + }, + { + "epoch": 0.38, + "grad_norm": 1.4901746359652903, + "learning_rate": 1.4238396158078859e-05, + "loss": 0.9196, + "step": 16124 + }, + { + "epoch": 0.38, + "grad_norm": 1.6793269238908115, + "learning_rate": 1.4237705031023354e-05, + "loss": 0.8751, + "step": 16125 + }, + { + "epoch": 0.38, + "grad_norm": 1.9612318820446817, + "learning_rate": 1.423701387929459e-05, + "loss": 1.075, + "step": 16126 + }, + { + "epoch": 0.38, + "grad_norm": 1.7920981515671615, + "learning_rate": 1.4236322702896588e-05, + "loss": 0.8135, + "step": 16127 + }, + { + "epoch": 0.38, + "grad_norm": 1.7008609637822414, + "learning_rate": 1.4235631501833378e-05, + "loss": 0.8453, + "step": 16128 + }, + { + "epoch": 0.38, + "grad_norm": 1.6713788045473754, + "learning_rate": 1.4234940276108977e-05, + "loss": 0.9586, + "step": 16129 + }, + { + "epoch": 0.38, + "grad_norm": 1.7253041641818718, + "learning_rate": 1.4234249025727419e-05, + "loss": 0.8553, + "step": 16130 + }, + { + "epoch": 0.38, + "grad_norm": 1.7400741492015, + "learning_rate": 1.4233557750692715e-05, + "loss": 0.7371, + "step": 16131 + }, + { + "epoch": 0.38, + "grad_norm": 1.8030465478820403, + "learning_rate": 1.4232866451008902e-05, + "loss": 0.8811, + "step": 16132 + }, + { + "epoch": 0.38, + "grad_norm": 1.9774838868291051, + "learning_rate": 1.4232175126679999e-05, + "loss": 0.8415, + "step": 16133 + }, + { + "epoch": 0.38, + "grad_norm": 1.5578618000674254, + "learning_rate": 1.423148377771003e-05, + "loss": 0.8844, + "step": 16134 + }, + { + "epoch": 0.38, + "grad_norm": 0.8080753866082352, + "learning_rate": 1.4230792404103026e-05, + "loss": 0.7149, + "step": 16135 + }, + { + "epoch": 0.38, + "grad_norm": 1.6801321041100057, + "learning_rate": 1.4230101005863008e-05, + "loss": 0.9609, + "step": 16136 + }, + { + "epoch": 0.38, + "grad_norm": 1.4744915798526992, + "learning_rate": 1.4229409582994005e-05, + "loss": 0.7317, + "step": 16137 + }, + { + "epoch": 0.38, + "grad_norm": 3.3695278322803035, + "learning_rate": 1.422871813550004e-05, + "loss": 0.8504, + "step": 16138 + }, + { + "epoch": 0.38, + "grad_norm": 1.7239622156760737, + "learning_rate": 1.4228026663385136e-05, + "loss": 0.8129, + "step": 16139 + }, + { + "epoch": 0.38, + "grad_norm": 2.1849313118560945, + "learning_rate": 1.4227335166653325e-05, + "loss": 0.9155, + "step": 16140 + }, + { + "epoch": 0.38, + "grad_norm": 0.7579419561070178, + "learning_rate": 1.4226643645308628e-05, + "loss": 0.7114, + "step": 16141 + }, + { + "epoch": 0.38, + "grad_norm": 1.621997027023434, + "learning_rate": 1.4225952099355075e-05, + "loss": 0.8248, + "step": 16142 + }, + { + "epoch": 0.38, + "grad_norm": 1.7003385938033049, + "learning_rate": 1.4225260528796692e-05, + "loss": 0.9146, + "step": 16143 + }, + { + "epoch": 0.38, + "grad_norm": 1.7938746516352453, + "learning_rate": 1.42245689336375e-05, + "loss": 0.9032, + "step": 16144 + }, + { + "epoch": 0.38, + "grad_norm": 1.4098180859454885, + "learning_rate": 1.4223877313881535e-05, + "loss": 0.8122, + "step": 16145 + }, + { + "epoch": 0.38, + "grad_norm": 1.6668064580890627, + "learning_rate": 1.422318566953282e-05, + "loss": 0.828, + "step": 16146 + }, + { + "epoch": 0.38, + "grad_norm": 1.752363733863888, + "learning_rate": 1.422249400059538e-05, + "loss": 0.8256, + "step": 16147 + }, + { + "epoch": 0.38, + "grad_norm": 1.6089539190962692, + "learning_rate": 1.422180230707324e-05, + "loss": 0.9187, + "step": 16148 + }, + { + "epoch": 0.38, + "grad_norm": 1.85099220674368, + "learning_rate": 1.4221110588970432e-05, + "loss": 1.0494, + "step": 16149 + }, + { + "epoch": 0.38, + "grad_norm": 1.660103172109404, + "learning_rate": 1.4220418846290981e-05, + "loss": 0.8821, + "step": 16150 + }, + { + "epoch": 0.38, + "grad_norm": 4.569980636525123, + "learning_rate": 1.4219727079038919e-05, + "loss": 0.9059, + "step": 16151 + }, + { + "epoch": 0.38, + "grad_norm": 0.7683228673233472, + "learning_rate": 1.4219035287218264e-05, + "loss": 0.6995, + "step": 16152 + }, + { + "epoch": 0.38, + "grad_norm": 1.780568530695834, + "learning_rate": 1.4218343470833055e-05, + "loss": 0.8537, + "step": 16153 + }, + { + "epoch": 0.38, + "grad_norm": 1.5099945182847705, + "learning_rate": 1.4217651629887312e-05, + "loss": 0.8395, + "step": 16154 + }, + { + "epoch": 0.38, + "grad_norm": 1.503006874249419, + "learning_rate": 1.4216959764385067e-05, + "loss": 0.8275, + "step": 16155 + }, + { + "epoch": 0.38, + "grad_norm": 0.7529384728332291, + "learning_rate": 1.4216267874330347e-05, + "loss": 0.7713, + "step": 16156 + }, + { + "epoch": 0.38, + "grad_norm": 1.609053756265527, + "learning_rate": 1.421557595972718e-05, + "loss": 0.8923, + "step": 16157 + }, + { + "epoch": 0.38, + "grad_norm": 1.5678541351066195, + "learning_rate": 1.4214884020579595e-05, + "loss": 1.0248, + "step": 16158 + }, + { + "epoch": 0.38, + "grad_norm": 1.8657288040354607, + "learning_rate": 1.4214192056891622e-05, + "loss": 0.7936, + "step": 16159 + }, + { + "epoch": 0.38, + "grad_norm": 2.472389785059915, + "learning_rate": 1.421350006866729e-05, + "loss": 0.8501, + "step": 16160 + }, + { + "epoch": 0.38, + "grad_norm": 1.5508130654544416, + "learning_rate": 1.4212808055910623e-05, + "loss": 0.8793, + "step": 16161 + }, + { + "epoch": 0.38, + "grad_norm": 1.8568313371367207, + "learning_rate": 1.4212116018625658e-05, + "loss": 0.9551, + "step": 16162 + }, + { + "epoch": 0.38, + "grad_norm": 0.777748438858209, + "learning_rate": 1.4211423956816415e-05, + "loss": 0.7716, + "step": 16163 + }, + { + "epoch": 0.38, + "grad_norm": 1.553667157477652, + "learning_rate": 1.4210731870486931e-05, + "loss": 0.9027, + "step": 16164 + }, + { + "epoch": 0.38, + "grad_norm": 1.79740175013917, + "learning_rate": 1.4210039759641232e-05, + "loss": 0.852, + "step": 16165 + }, + { + "epoch": 0.38, + "grad_norm": 1.973217303565555, + "learning_rate": 1.4209347624283352e-05, + "loss": 0.7962, + "step": 16166 + }, + { + "epoch": 0.38, + "grad_norm": 1.595925875173632, + "learning_rate": 1.4208655464417313e-05, + "loss": 0.9325, + "step": 16167 + }, + { + "epoch": 0.38, + "grad_norm": 1.7823764047274144, + "learning_rate": 1.4207963280047155e-05, + "loss": 0.9698, + "step": 16168 + }, + { + "epoch": 0.38, + "grad_norm": 1.7877241832180093, + "learning_rate": 1.4207271071176896e-05, + "loss": 0.9621, + "step": 16169 + }, + { + "epoch": 0.38, + "grad_norm": 1.653002392231291, + "learning_rate": 1.4206578837810578e-05, + "loss": 0.8874, + "step": 16170 + }, + { + "epoch": 0.38, + "grad_norm": 0.7945627307848646, + "learning_rate": 1.4205886579952221e-05, + "loss": 0.6935, + "step": 16171 + }, + { + "epoch": 0.38, + "grad_norm": 1.4203765589744162, + "learning_rate": 1.4205194297605867e-05, + "loss": 0.8909, + "step": 16172 + }, + { + "epoch": 0.38, + "grad_norm": 1.723538781919491, + "learning_rate": 1.4204501990775535e-05, + "loss": 0.9432, + "step": 16173 + }, + { + "epoch": 0.38, + "grad_norm": 1.37430933132267, + "learning_rate": 1.4203809659465266e-05, + "loss": 0.8353, + "step": 16174 + }, + { + "epoch": 0.38, + "grad_norm": 1.5631640059375935, + "learning_rate": 1.4203117303679083e-05, + "loss": 0.7753, + "step": 16175 + }, + { + "epoch": 0.38, + "grad_norm": 1.5501947758771197, + "learning_rate": 1.4202424923421018e-05, + "loss": 0.8491, + "step": 16176 + }, + { + "epoch": 0.38, + "grad_norm": 0.7754768192604076, + "learning_rate": 1.420173251869511e-05, + "loss": 0.7578, + "step": 16177 + }, + { + "epoch": 0.38, + "grad_norm": 1.7146761405740776, + "learning_rate": 1.4201040089505383e-05, + "loss": 0.9172, + "step": 16178 + }, + { + "epoch": 0.38, + "grad_norm": 0.8085240725155242, + "learning_rate": 1.420034763585587e-05, + "loss": 0.8026, + "step": 16179 + }, + { + "epoch": 0.38, + "grad_norm": 1.7460953463570021, + "learning_rate": 1.4199655157750602e-05, + "loss": 1.011, + "step": 16180 + }, + { + "epoch": 0.38, + "grad_norm": 1.5588641786001716, + "learning_rate": 1.4198962655193617e-05, + "loss": 1.0333, + "step": 16181 + }, + { + "epoch": 0.38, + "grad_norm": 1.8395291947941719, + "learning_rate": 1.4198270128188938e-05, + "loss": 0.9017, + "step": 16182 + }, + { + "epoch": 0.38, + "grad_norm": 1.9360587547651111, + "learning_rate": 1.4197577576740602e-05, + "loss": 0.9172, + "step": 16183 + }, + { + "epoch": 0.38, + "grad_norm": 1.6603425390895021, + "learning_rate": 1.419688500085264e-05, + "loss": 0.9188, + "step": 16184 + }, + { + "epoch": 0.38, + "grad_norm": 1.7272378610480112, + "learning_rate": 1.4196192400529088e-05, + "loss": 0.7539, + "step": 16185 + }, + { + "epoch": 0.38, + "grad_norm": 1.8313999852599283, + "learning_rate": 1.4195499775773972e-05, + "loss": 0.9053, + "step": 16186 + }, + { + "epoch": 0.38, + "grad_norm": 1.8599094525097144, + "learning_rate": 1.4194807126591328e-05, + "loss": 0.772, + "step": 16187 + }, + { + "epoch": 0.38, + "grad_norm": 1.549976054092872, + "learning_rate": 1.4194114452985189e-05, + "loss": 0.8247, + "step": 16188 + }, + { + "epoch": 0.38, + "grad_norm": 1.81389248008583, + "learning_rate": 1.4193421754959586e-05, + "loss": 0.8065, + "step": 16189 + }, + { + "epoch": 0.38, + "grad_norm": 2.106183097032642, + "learning_rate": 1.4192729032518557e-05, + "loss": 0.8228, + "step": 16190 + }, + { + "epoch": 0.38, + "grad_norm": 2.110715033007815, + "learning_rate": 1.4192036285666133e-05, + "loss": 0.9039, + "step": 16191 + }, + { + "epoch": 0.38, + "grad_norm": 1.4723719680496605, + "learning_rate": 1.4191343514406345e-05, + "loss": 0.9542, + "step": 16192 + }, + { + "epoch": 0.38, + "grad_norm": 1.6543075794353017, + "learning_rate": 1.4190650718743229e-05, + "loss": 0.9413, + "step": 16193 + }, + { + "epoch": 0.38, + "grad_norm": 1.9450946369229967, + "learning_rate": 1.4189957898680815e-05, + "loss": 0.9196, + "step": 16194 + }, + { + "epoch": 0.38, + "grad_norm": 1.9416005450632567, + "learning_rate": 1.4189265054223142e-05, + "loss": 0.9901, + "step": 16195 + }, + { + "epoch": 0.38, + "grad_norm": 1.5753550635453366, + "learning_rate": 1.4188572185374241e-05, + "loss": 0.8698, + "step": 16196 + }, + { + "epoch": 0.38, + "grad_norm": 1.4448836011397346, + "learning_rate": 1.4187879292138144e-05, + "loss": 0.8957, + "step": 16197 + }, + { + "epoch": 0.38, + "grad_norm": 1.8349366985829474, + "learning_rate": 1.4187186374518893e-05, + "loss": 0.8638, + "step": 16198 + }, + { + "epoch": 0.38, + "grad_norm": 1.4693610482587793, + "learning_rate": 1.4186493432520513e-05, + "loss": 0.8075, + "step": 16199 + }, + { + "epoch": 0.38, + "grad_norm": 1.745723853798576, + "learning_rate": 1.4185800466147048e-05, + "loss": 0.9055, + "step": 16200 + }, + { + "epoch": 0.38, + "grad_norm": 1.3875485866725765, + "learning_rate": 1.4185107475402522e-05, + "loss": 0.7338, + "step": 16201 + }, + { + "epoch": 0.38, + "grad_norm": 1.57577859658929, + "learning_rate": 1.4184414460290979e-05, + "loss": 0.858, + "step": 16202 + }, + { + "epoch": 0.38, + "grad_norm": 1.7499418626528247, + "learning_rate": 1.4183721420816448e-05, + "loss": 0.7852, + "step": 16203 + }, + { + "epoch": 0.38, + "grad_norm": 1.4434138144483106, + "learning_rate": 1.4183028356982969e-05, + "loss": 0.9274, + "step": 16204 + }, + { + "epoch": 0.38, + "grad_norm": 1.8202298520148832, + "learning_rate": 1.4182335268794571e-05, + "loss": 0.8288, + "step": 16205 + }, + { + "epoch": 0.38, + "grad_norm": 1.628993638642422, + "learning_rate": 1.4181642156255295e-05, + "loss": 0.9619, + "step": 16206 + }, + { + "epoch": 0.38, + "grad_norm": 1.5406394483943529, + "learning_rate": 1.4180949019369174e-05, + "loss": 0.784, + "step": 16207 + }, + { + "epoch": 0.38, + "grad_norm": 1.484334539266702, + "learning_rate": 1.4180255858140243e-05, + "loss": 0.8389, + "step": 16208 + }, + { + "epoch": 0.38, + "grad_norm": 1.9317297939313007, + "learning_rate": 1.417956267257254e-05, + "loss": 0.8148, + "step": 16209 + }, + { + "epoch": 0.38, + "grad_norm": 1.5016746814568518, + "learning_rate": 1.4178869462670102e-05, + "loss": 0.8761, + "step": 16210 + }, + { + "epoch": 0.38, + "grad_norm": 1.7400659628577604, + "learning_rate": 1.417817622843696e-05, + "loss": 0.9185, + "step": 16211 + }, + { + "epoch": 0.38, + "grad_norm": 2.76521312050275, + "learning_rate": 1.4177482969877155e-05, + "loss": 0.9155, + "step": 16212 + }, + { + "epoch": 0.38, + "grad_norm": 0.8500437449637933, + "learning_rate": 1.4176789686994718e-05, + "loss": 0.7025, + "step": 16213 + }, + { + "epoch": 0.38, + "grad_norm": 1.7717187137918733, + "learning_rate": 1.4176096379793694e-05, + "loss": 0.8908, + "step": 16214 + }, + { + "epoch": 0.38, + "grad_norm": 1.6994170422610644, + "learning_rate": 1.4175403048278113e-05, + "loss": 0.9359, + "step": 16215 + }, + { + "epoch": 0.38, + "grad_norm": 1.6252202773716788, + "learning_rate": 1.4174709692452014e-05, + "loss": 0.8033, + "step": 16216 + }, + { + "epoch": 0.38, + "grad_norm": 1.9668205833740395, + "learning_rate": 1.4174016312319432e-05, + "loss": 0.9183, + "step": 16217 + }, + { + "epoch": 0.38, + "grad_norm": 1.745710433758525, + "learning_rate": 1.4173322907884406e-05, + "loss": 0.7795, + "step": 16218 + }, + { + "epoch": 0.38, + "grad_norm": 1.4930668892459797, + "learning_rate": 1.4172629479150975e-05, + "loss": 0.8666, + "step": 16219 + }, + { + "epoch": 0.38, + "grad_norm": 0.7324215094644906, + "learning_rate": 1.417193602612317e-05, + "loss": 0.7761, + "step": 16220 + }, + { + "epoch": 0.38, + "grad_norm": 1.6021659703606472, + "learning_rate": 1.4171242548805036e-05, + "loss": 0.9126, + "step": 16221 + }, + { + "epoch": 0.38, + "grad_norm": 1.6450213772768196, + "learning_rate": 1.4170549047200604e-05, + "loss": 0.8872, + "step": 16222 + }, + { + "epoch": 0.38, + "grad_norm": 2.11442654416251, + "learning_rate": 1.416985552131392e-05, + "loss": 0.8151, + "step": 16223 + }, + { + "epoch": 0.38, + "grad_norm": 0.8092038294437381, + "learning_rate": 1.416916197114901e-05, + "loss": 0.7307, + "step": 16224 + }, + { + "epoch": 0.38, + "grad_norm": 1.5515299332687198, + "learning_rate": 1.4168468396709925e-05, + "loss": 0.8812, + "step": 16225 + }, + { + "epoch": 0.38, + "grad_norm": 1.495199196142013, + "learning_rate": 1.4167774798000697e-05, + "loss": 0.7613, + "step": 16226 + }, + { + "epoch": 0.38, + "grad_norm": 2.3591018419801455, + "learning_rate": 1.416708117502536e-05, + "loss": 0.8409, + "step": 16227 + }, + { + "epoch": 0.38, + "grad_norm": 1.8075678127176136, + "learning_rate": 1.4166387527787964e-05, + "loss": 0.9107, + "step": 16228 + }, + { + "epoch": 0.38, + "grad_norm": 1.6391916556083124, + "learning_rate": 1.4165693856292535e-05, + "loss": 0.8041, + "step": 16229 + }, + { + "epoch": 0.38, + "grad_norm": 1.5502321395053844, + "learning_rate": 1.416500016054312e-05, + "loss": 0.851, + "step": 16230 + }, + { + "epoch": 0.38, + "grad_norm": 1.6145365232145137, + "learning_rate": 1.4164306440543754e-05, + "loss": 0.9479, + "step": 16231 + }, + { + "epoch": 0.38, + "grad_norm": 1.7656234447565498, + "learning_rate": 1.4163612696298481e-05, + "loss": 0.9001, + "step": 16232 + }, + { + "epoch": 0.38, + "grad_norm": 1.7393470918085183, + "learning_rate": 1.4162918927811334e-05, + "loss": 0.8598, + "step": 16233 + }, + { + "epoch": 0.38, + "grad_norm": 1.4344434158820867, + "learning_rate": 1.4162225135086354e-05, + "loss": 0.7398, + "step": 16234 + }, + { + "epoch": 0.38, + "grad_norm": 1.790838093419211, + "learning_rate": 1.4161531318127584e-05, + "loss": 0.8674, + "step": 16235 + }, + { + "epoch": 0.38, + "grad_norm": 1.9354150225687774, + "learning_rate": 1.416083747693906e-05, + "loss": 0.8924, + "step": 16236 + }, + { + "epoch": 0.38, + "grad_norm": 1.5859935364599473, + "learning_rate": 1.4160143611524821e-05, + "loss": 0.9642, + "step": 16237 + }, + { + "epoch": 0.38, + "grad_norm": 1.6631868142168824, + "learning_rate": 1.4159449721888911e-05, + "loss": 0.8866, + "step": 16238 + }, + { + "epoch": 0.38, + "grad_norm": 1.590592660950205, + "learning_rate": 1.4158755808035367e-05, + "loss": 0.8226, + "step": 16239 + }, + { + "epoch": 0.38, + "grad_norm": 0.7555209534923217, + "learning_rate": 1.4158061869968232e-05, + "loss": 0.7046, + "step": 16240 + }, + { + "epoch": 0.38, + "grad_norm": 1.6867247852258989, + "learning_rate": 1.4157367907691542e-05, + "loss": 0.8506, + "step": 16241 + }, + { + "epoch": 0.38, + "grad_norm": 1.6417810323450817, + "learning_rate": 1.4156673921209341e-05, + "loss": 0.8333, + "step": 16242 + }, + { + "epoch": 0.38, + "grad_norm": 1.561371295159361, + "learning_rate": 1.4155979910525668e-05, + "loss": 0.9437, + "step": 16243 + }, + { + "epoch": 0.38, + "grad_norm": 1.7816068336544533, + "learning_rate": 1.4155285875644564e-05, + "loss": 0.9198, + "step": 16244 + }, + { + "epoch": 0.38, + "grad_norm": 1.5081722489986207, + "learning_rate": 1.4154591816570072e-05, + "loss": 0.9328, + "step": 16245 + }, + { + "epoch": 0.38, + "grad_norm": 2.0529471082379662, + "learning_rate": 1.4153897733306228e-05, + "loss": 0.9463, + "step": 16246 + }, + { + "epoch": 0.38, + "grad_norm": 1.798256088599227, + "learning_rate": 1.415320362585708e-05, + "loss": 0.8332, + "step": 16247 + }, + { + "epoch": 0.38, + "grad_norm": 1.5817143682326005, + "learning_rate": 1.4152509494226662e-05, + "loss": 1.0319, + "step": 16248 + }, + { + "epoch": 0.38, + "grad_norm": 1.433592809440021, + "learning_rate": 1.4151815338419022e-05, + "loss": 0.7118, + "step": 16249 + }, + { + "epoch": 0.38, + "grad_norm": 3.5804601561795173, + "learning_rate": 1.4151121158438195e-05, + "loss": 0.8776, + "step": 16250 + }, + { + "epoch": 0.38, + "grad_norm": 1.8950198432951102, + "learning_rate": 1.415042695428823e-05, + "loss": 0.8896, + "step": 16251 + }, + { + "epoch": 0.38, + "grad_norm": 1.527258331106619, + "learning_rate": 1.4149732725973162e-05, + "loss": 0.7887, + "step": 16252 + }, + { + "epoch": 0.38, + "grad_norm": 1.4965219490676474, + "learning_rate": 1.414903847349704e-05, + "loss": 0.9189, + "step": 16253 + }, + { + "epoch": 0.38, + "grad_norm": 1.757895527110672, + "learning_rate": 1.41483441968639e-05, + "loss": 0.9177, + "step": 16254 + }, + { + "epoch": 0.38, + "grad_norm": 1.5621097895152976, + "learning_rate": 1.4147649896077789e-05, + "loss": 0.7874, + "step": 16255 + }, + { + "epoch": 0.38, + "grad_norm": 1.6651874033928726, + "learning_rate": 1.4146955571142745e-05, + "loss": 0.9788, + "step": 16256 + }, + { + "epoch": 0.38, + "grad_norm": 1.4736407316805944, + "learning_rate": 1.4146261222062813e-05, + "loss": 0.9198, + "step": 16257 + }, + { + "epoch": 0.38, + "grad_norm": 1.9543005991704288, + "learning_rate": 1.4145566848842036e-05, + "loss": 0.8521, + "step": 16258 + }, + { + "epoch": 0.38, + "grad_norm": 1.5817657422488858, + "learning_rate": 1.4144872451484455e-05, + "loss": 0.9777, + "step": 16259 + }, + { + "epoch": 0.38, + "grad_norm": 1.6449478824474484, + "learning_rate": 1.4144178029994118e-05, + "loss": 0.8995, + "step": 16260 + }, + { + "epoch": 0.38, + "grad_norm": 1.681358101678654, + "learning_rate": 1.414348358437506e-05, + "loss": 1.0014, + "step": 16261 + }, + { + "epoch": 0.38, + "grad_norm": 1.566208366857859, + "learning_rate": 1.414278911463133e-05, + "loss": 1.0083, + "step": 16262 + }, + { + "epoch": 0.38, + "grad_norm": 1.5700337925639496, + "learning_rate": 1.4142094620766972e-05, + "loss": 0.982, + "step": 16263 + }, + { + "epoch": 0.38, + "grad_norm": 1.5494586072583414, + "learning_rate": 1.4141400102786027e-05, + "loss": 0.8848, + "step": 16264 + }, + { + "epoch": 0.38, + "grad_norm": 0.7376020024693171, + "learning_rate": 1.4140705560692538e-05, + "loss": 0.7213, + "step": 16265 + }, + { + "epoch": 0.38, + "grad_norm": 0.7537812718246527, + "learning_rate": 1.4140010994490552e-05, + "loss": 0.7388, + "step": 16266 + }, + { + "epoch": 0.38, + "grad_norm": 1.6504995763313877, + "learning_rate": 1.4139316404184111e-05, + "loss": 0.7295, + "step": 16267 + }, + { + "epoch": 0.38, + "grad_norm": 1.7720904990414685, + "learning_rate": 1.4138621789777258e-05, + "loss": 0.926, + "step": 16268 + }, + { + "epoch": 0.38, + "grad_norm": 0.7905715330083342, + "learning_rate": 1.413792715127404e-05, + "loss": 0.723, + "step": 16269 + }, + { + "epoch": 0.38, + "grad_norm": 1.8228821671008524, + "learning_rate": 1.4137232488678503e-05, + "loss": 0.9193, + "step": 16270 + }, + { + "epoch": 0.38, + "grad_norm": 2.5952737583083465, + "learning_rate": 1.4136537801994683e-05, + "loss": 0.9768, + "step": 16271 + }, + { + "epoch": 0.38, + "grad_norm": 1.984655244330877, + "learning_rate": 1.4135843091226635e-05, + "loss": 0.8833, + "step": 16272 + }, + { + "epoch": 0.38, + "grad_norm": 0.8468212990604661, + "learning_rate": 1.4135148356378393e-05, + "loss": 0.6776, + "step": 16273 + }, + { + "epoch": 0.38, + "grad_norm": 1.7050468593461334, + "learning_rate": 1.4134453597454015e-05, + "loss": 0.9515, + "step": 16274 + }, + { + "epoch": 0.38, + "grad_norm": 6.891559718696087, + "learning_rate": 1.4133758814457534e-05, + "loss": 0.8782, + "step": 16275 + }, + { + "epoch": 0.38, + "grad_norm": 1.6467974138833874, + "learning_rate": 1.4133064007393005e-05, + "loss": 0.8865, + "step": 16276 + }, + { + "epoch": 0.38, + "grad_norm": 1.7039347533333442, + "learning_rate": 1.4132369176264467e-05, + "loss": 0.8956, + "step": 16277 + }, + { + "epoch": 0.38, + "grad_norm": 1.4652310157508297, + "learning_rate": 1.4131674321075966e-05, + "loss": 0.76, + "step": 16278 + }, + { + "epoch": 0.38, + "grad_norm": 2.66127875042733, + "learning_rate": 1.4130979441831552e-05, + "loss": 0.848, + "step": 16279 + }, + { + "epoch": 0.38, + "grad_norm": 1.7522700574709615, + "learning_rate": 1.4130284538535261e-05, + "loss": 0.7381, + "step": 16280 + }, + { + "epoch": 0.38, + "grad_norm": 1.6199648665440212, + "learning_rate": 1.4129589611191154e-05, + "loss": 0.9196, + "step": 16281 + }, + { + "epoch": 0.38, + "grad_norm": 1.4452020763650002, + "learning_rate": 1.4128894659803263e-05, + "loss": 0.9461, + "step": 16282 + }, + { + "epoch": 0.38, + "grad_norm": 1.6600206517316949, + "learning_rate": 1.4128199684375645e-05, + "loss": 0.8058, + "step": 16283 + }, + { + "epoch": 0.38, + "grad_norm": 1.5913190940456072, + "learning_rate": 1.412750468491234e-05, + "loss": 0.995, + "step": 16284 + }, + { + "epoch": 0.38, + "grad_norm": 1.9898333499358274, + "learning_rate": 1.4126809661417396e-05, + "loss": 1.0359, + "step": 16285 + }, + { + "epoch": 0.38, + "grad_norm": 1.5049612106209365, + "learning_rate": 1.4126114613894857e-05, + "loss": 0.9432, + "step": 16286 + }, + { + "epoch": 0.38, + "grad_norm": 1.7157781347409806, + "learning_rate": 1.4125419542348775e-05, + "loss": 0.857, + "step": 16287 + }, + { + "epoch": 0.38, + "grad_norm": 1.547704865170717, + "learning_rate": 1.4124724446783194e-05, + "loss": 0.8916, + "step": 16288 + }, + { + "epoch": 0.38, + "grad_norm": 1.6588476901617883, + "learning_rate": 1.412402932720216e-05, + "loss": 0.9111, + "step": 16289 + }, + { + "epoch": 0.38, + "grad_norm": 1.621041612494057, + "learning_rate": 1.412333418360972e-05, + "loss": 0.9269, + "step": 16290 + }, + { + "epoch": 0.38, + "grad_norm": 0.7475228817726776, + "learning_rate": 1.4122639016009927e-05, + "loss": 0.7836, + "step": 16291 + }, + { + "epoch": 0.38, + "grad_norm": 1.9604818427060204, + "learning_rate": 1.4121943824406822e-05, + "loss": 0.9625, + "step": 16292 + }, + { + "epoch": 0.38, + "grad_norm": 1.8736804382824475, + "learning_rate": 1.4121248608804456e-05, + "loss": 0.9965, + "step": 16293 + }, + { + "epoch": 0.38, + "grad_norm": 0.7679677567664756, + "learning_rate": 1.4120553369206876e-05, + "loss": 0.6828, + "step": 16294 + }, + { + "epoch": 0.38, + "grad_norm": 1.8246889940010385, + "learning_rate": 1.4119858105618129e-05, + "loss": 0.8456, + "step": 16295 + }, + { + "epoch": 0.38, + "grad_norm": 1.8690623371283577, + "learning_rate": 1.4119162818042265e-05, + "loss": 0.9376, + "step": 16296 + }, + { + "epoch": 0.38, + "grad_norm": 1.79473978156736, + "learning_rate": 1.411846750648333e-05, + "loss": 0.912, + "step": 16297 + }, + { + "epoch": 0.38, + "grad_norm": 2.1328044639469197, + "learning_rate": 1.4117772170945375e-05, + "loss": 0.8814, + "step": 16298 + }, + { + "epoch": 0.38, + "grad_norm": 1.917522050970327, + "learning_rate": 1.4117076811432444e-05, + "loss": 0.8088, + "step": 16299 + }, + { + "epoch": 0.38, + "grad_norm": 1.6128641215018789, + "learning_rate": 1.4116381427948591e-05, + "loss": 0.8049, + "step": 16300 + }, + { + "epoch": 0.38, + "grad_norm": 1.7437394662385286, + "learning_rate": 1.4115686020497858e-05, + "loss": 0.9787, + "step": 16301 + }, + { + "epoch": 0.38, + "grad_norm": 1.7037405121373845, + "learning_rate": 1.4114990589084304e-05, + "loss": 0.85, + "step": 16302 + }, + { + "epoch": 0.38, + "grad_norm": 2.6796632417012303, + "learning_rate": 1.4114295133711966e-05, + "loss": 0.843, + "step": 16303 + }, + { + "epoch": 0.38, + "grad_norm": 1.8155805108846934, + "learning_rate": 1.4113599654384904e-05, + "loss": 0.7826, + "step": 16304 + }, + { + "epoch": 0.38, + "grad_norm": 1.7544996287581849, + "learning_rate": 1.411290415110716e-05, + "loss": 0.8742, + "step": 16305 + }, + { + "epoch": 0.38, + "grad_norm": 1.5292193756937686, + "learning_rate": 1.4112208623882787e-05, + "loss": 0.9204, + "step": 16306 + }, + { + "epoch": 0.38, + "grad_norm": 1.6316123067373578, + "learning_rate": 1.4111513072715833e-05, + "loss": 0.8338, + "step": 16307 + }, + { + "epoch": 0.38, + "grad_norm": 1.642520045412852, + "learning_rate": 1.4110817497610347e-05, + "loss": 0.9874, + "step": 16308 + }, + { + "epoch": 0.38, + "grad_norm": 2.0883578863160825, + "learning_rate": 1.4110121898570382e-05, + "loss": 0.7874, + "step": 16309 + }, + { + "epoch": 0.38, + "grad_norm": 1.6955840019657666, + "learning_rate": 1.4109426275599983e-05, + "loss": 0.8212, + "step": 16310 + }, + { + "epoch": 0.38, + "grad_norm": 1.699387439676504, + "learning_rate": 1.4108730628703207e-05, + "loss": 0.8099, + "step": 16311 + }, + { + "epoch": 0.38, + "grad_norm": 2.453690855261298, + "learning_rate": 1.4108034957884096e-05, + "loss": 0.8998, + "step": 16312 + }, + { + "epoch": 0.38, + "grad_norm": 1.5682111036827817, + "learning_rate": 1.4107339263146709e-05, + "loss": 0.8459, + "step": 16313 + }, + { + "epoch": 0.38, + "grad_norm": 2.0790252947604153, + "learning_rate": 1.4106643544495092e-05, + "loss": 0.845, + "step": 16314 + }, + { + "epoch": 0.38, + "grad_norm": 0.7741002177308209, + "learning_rate": 1.4105947801933295e-05, + "loss": 0.7535, + "step": 16315 + }, + { + "epoch": 0.38, + "grad_norm": 1.7205511177478938, + "learning_rate": 1.4105252035465368e-05, + "loss": 0.8798, + "step": 16316 + }, + { + "epoch": 0.38, + "grad_norm": 2.0585825794852703, + "learning_rate": 1.4104556245095368e-05, + "loss": 0.8956, + "step": 16317 + }, + { + "epoch": 0.38, + "grad_norm": 1.7703073791066217, + "learning_rate": 1.4103860430827342e-05, + "loss": 0.9596, + "step": 16318 + }, + { + "epoch": 0.38, + "grad_norm": 1.7004397139990635, + "learning_rate": 1.4103164592665337e-05, + "loss": 0.9702, + "step": 16319 + }, + { + "epoch": 0.38, + "grad_norm": 1.6464207647443119, + "learning_rate": 1.4102468730613412e-05, + "loss": 0.8745, + "step": 16320 + }, + { + "epoch": 0.38, + "grad_norm": 2.0426480281027493, + "learning_rate": 1.4101772844675617e-05, + "loss": 0.8745, + "step": 16321 + }, + { + "epoch": 0.38, + "grad_norm": 1.637301978749284, + "learning_rate": 1.4101076934855997e-05, + "loss": 1.0741, + "step": 16322 + }, + { + "epoch": 0.38, + "grad_norm": 1.536523473127924, + "learning_rate": 1.4100381001158612e-05, + "loss": 0.9346, + "step": 16323 + }, + { + "epoch": 0.38, + "grad_norm": 2.1375969879933017, + "learning_rate": 1.409968504358751e-05, + "loss": 0.8934, + "step": 16324 + }, + { + "epoch": 0.38, + "grad_norm": 1.644278447624677, + "learning_rate": 1.4098989062146741e-05, + "loss": 0.8771, + "step": 16325 + }, + { + "epoch": 0.38, + "grad_norm": 1.64442945351321, + "learning_rate": 1.4098293056840364e-05, + "loss": 0.9114, + "step": 16326 + }, + { + "epoch": 0.38, + "grad_norm": 0.7849301535978043, + "learning_rate": 1.4097597027672425e-05, + "loss": 0.7216, + "step": 16327 + }, + { + "epoch": 0.38, + "grad_norm": 0.7950241810891158, + "learning_rate": 1.409690097464698e-05, + "loss": 0.7791, + "step": 16328 + }, + { + "epoch": 0.38, + "grad_norm": 1.6120800629406031, + "learning_rate": 1.409620489776808e-05, + "loss": 0.8252, + "step": 16329 + }, + { + "epoch": 0.38, + "grad_norm": 1.825499752307524, + "learning_rate": 1.4095508797039781e-05, + "loss": 0.836, + "step": 16330 + }, + { + "epoch": 0.38, + "grad_norm": 1.6894971240762542, + "learning_rate": 1.4094812672466127e-05, + "loss": 0.8162, + "step": 16331 + }, + { + "epoch": 0.38, + "grad_norm": 1.7063182776689823, + "learning_rate": 1.4094116524051182e-05, + "loss": 0.9012, + "step": 16332 + }, + { + "epoch": 0.38, + "grad_norm": 2.044287117085008, + "learning_rate": 1.4093420351798991e-05, + "loss": 0.7896, + "step": 16333 + }, + { + "epoch": 0.38, + "grad_norm": 1.6647161352573046, + "learning_rate": 1.4092724155713614e-05, + "loss": 0.8941, + "step": 16334 + }, + { + "epoch": 0.38, + "grad_norm": 1.908058468744354, + "learning_rate": 1.4092027935799102e-05, + "loss": 0.9317, + "step": 16335 + }, + { + "epoch": 0.38, + "grad_norm": 1.600901503767181, + "learning_rate": 1.4091331692059506e-05, + "loss": 0.827, + "step": 16336 + }, + { + "epoch": 0.38, + "grad_norm": 1.7341111285729087, + "learning_rate": 1.4090635424498882e-05, + "loss": 0.9556, + "step": 16337 + }, + { + "epoch": 0.38, + "grad_norm": 1.5462101714205536, + "learning_rate": 1.4089939133121282e-05, + "loss": 0.973, + "step": 16338 + }, + { + "epoch": 0.38, + "grad_norm": 1.7735576535764024, + "learning_rate": 1.4089242817930764e-05, + "loss": 0.9541, + "step": 16339 + }, + { + "epoch": 0.38, + "grad_norm": 1.603213014755639, + "learning_rate": 1.4088546478931378e-05, + "loss": 0.8244, + "step": 16340 + }, + { + "epoch": 0.38, + "grad_norm": 2.4858727586195326, + "learning_rate": 1.408785011612718e-05, + "loss": 0.8892, + "step": 16341 + }, + { + "epoch": 0.39, + "grad_norm": 1.5699381442133467, + "learning_rate": 1.4087153729522224e-05, + "loss": 0.8371, + "step": 16342 + }, + { + "epoch": 0.39, + "grad_norm": 1.532042515780512, + "learning_rate": 1.4086457319120566e-05, + "loss": 0.8263, + "step": 16343 + }, + { + "epoch": 0.39, + "grad_norm": 1.6654225360904267, + "learning_rate": 1.408576088492626e-05, + "loss": 0.8691, + "step": 16344 + }, + { + "epoch": 0.39, + "grad_norm": 1.4021106800404164, + "learning_rate": 1.408506442694336e-05, + "loss": 0.8292, + "step": 16345 + }, + { + "epoch": 0.39, + "grad_norm": 1.9638326689197794, + "learning_rate": 1.408436794517592e-05, + "loss": 0.8425, + "step": 16346 + }, + { + "epoch": 0.39, + "grad_norm": 1.9155529662981339, + "learning_rate": 1.4083671439628e-05, + "loss": 0.9812, + "step": 16347 + }, + { + "epoch": 0.39, + "grad_norm": 1.4963775550697005, + "learning_rate": 1.4082974910303648e-05, + "loss": 0.9589, + "step": 16348 + }, + { + "epoch": 0.39, + "grad_norm": 0.7936997522528, + "learning_rate": 1.4082278357206928e-05, + "loss": 0.7461, + "step": 16349 + }, + { + "epoch": 0.39, + "grad_norm": 1.7734903229107368, + "learning_rate": 1.4081581780341887e-05, + "loss": 1.0597, + "step": 16350 + }, + { + "epoch": 0.39, + "grad_norm": 1.8541062682559322, + "learning_rate": 1.4080885179712588e-05, + "loss": 0.9063, + "step": 16351 + }, + { + "epoch": 0.39, + "grad_norm": 1.354944761467313, + "learning_rate": 1.4080188555323079e-05, + "loss": 0.9081, + "step": 16352 + }, + { + "epoch": 0.39, + "grad_norm": 2.546264929501431, + "learning_rate": 1.4079491907177428e-05, + "loss": 0.8409, + "step": 16353 + }, + { + "epoch": 0.39, + "grad_norm": 0.8096182984430323, + "learning_rate": 1.4078795235279677e-05, + "loss": 0.7903, + "step": 16354 + }, + { + "epoch": 0.39, + "grad_norm": 1.5368367701523764, + "learning_rate": 1.407809853963389e-05, + "loss": 0.9083, + "step": 16355 + }, + { + "epoch": 0.39, + "grad_norm": 2.3355362768080496, + "learning_rate": 1.4077401820244125e-05, + "loss": 0.894, + "step": 16356 + }, + { + "epoch": 0.39, + "grad_norm": 1.6098584990593805, + "learning_rate": 1.4076705077114432e-05, + "loss": 0.9724, + "step": 16357 + }, + { + "epoch": 0.39, + "grad_norm": 1.7614873642436526, + "learning_rate": 1.4076008310248874e-05, + "loss": 0.8716, + "step": 16358 + }, + { + "epoch": 0.39, + "grad_norm": 1.8597821481228511, + "learning_rate": 1.4075311519651502e-05, + "loss": 0.944, + "step": 16359 + }, + { + "epoch": 0.39, + "grad_norm": 1.7016580399331789, + "learning_rate": 1.4074614705326379e-05, + "loss": 0.8515, + "step": 16360 + }, + { + "epoch": 0.39, + "grad_norm": 1.6014468979801202, + "learning_rate": 1.4073917867277557e-05, + "loss": 0.8525, + "step": 16361 + }, + { + "epoch": 0.39, + "grad_norm": 1.8382789224783114, + "learning_rate": 1.40732210055091e-05, + "loss": 0.7909, + "step": 16362 + }, + { + "epoch": 0.39, + "grad_norm": 1.5732155286990215, + "learning_rate": 1.4072524120025057e-05, + "loss": 0.9016, + "step": 16363 + }, + { + "epoch": 0.39, + "grad_norm": 1.5938316219238917, + "learning_rate": 1.4071827210829493e-05, + "loss": 0.9079, + "step": 16364 + }, + { + "epoch": 0.39, + "grad_norm": 1.5435599405088172, + "learning_rate": 1.4071130277926457e-05, + "loss": 0.7284, + "step": 16365 + }, + { + "epoch": 0.39, + "grad_norm": 1.8384467195229062, + "learning_rate": 1.4070433321320012e-05, + "loss": 0.9636, + "step": 16366 + }, + { + "epoch": 0.39, + "grad_norm": 2.476131081821491, + "learning_rate": 1.4069736341014218e-05, + "loss": 0.7952, + "step": 16367 + }, + { + "epoch": 0.39, + "grad_norm": 1.4619791804778894, + "learning_rate": 1.406903933701313e-05, + "loss": 0.9095, + "step": 16368 + }, + { + "epoch": 0.39, + "grad_norm": 1.5726589561270106, + "learning_rate": 1.4068342309320807e-05, + "loss": 0.8233, + "step": 16369 + }, + { + "epoch": 0.39, + "grad_norm": 1.7150018368035211, + "learning_rate": 1.4067645257941308e-05, + "loss": 0.9185, + "step": 16370 + }, + { + "epoch": 0.39, + "grad_norm": 1.7125954276772075, + "learning_rate": 1.4066948182878686e-05, + "loss": 0.9687, + "step": 16371 + }, + { + "epoch": 0.39, + "grad_norm": 1.6568527508352426, + "learning_rate": 1.4066251084137006e-05, + "loss": 0.8932, + "step": 16372 + }, + { + "epoch": 0.39, + "grad_norm": 1.5756053753872132, + "learning_rate": 1.4065553961720327e-05, + "loss": 0.9011, + "step": 16373 + }, + { + "epoch": 0.39, + "grad_norm": 0.824616282826102, + "learning_rate": 1.4064856815632703e-05, + "loss": 0.7271, + "step": 16374 + }, + { + "epoch": 0.39, + "grad_norm": 0.7569011904866055, + "learning_rate": 1.4064159645878197e-05, + "loss": 0.6913, + "step": 16375 + }, + { + "epoch": 0.39, + "grad_norm": 1.5781314720331512, + "learning_rate": 1.4063462452460868e-05, + "loss": 0.9704, + "step": 16376 + }, + { + "epoch": 0.39, + "grad_norm": 1.7119916827845434, + "learning_rate": 1.4062765235384772e-05, + "loss": 0.9095, + "step": 16377 + }, + { + "epoch": 0.39, + "grad_norm": 1.896389990890854, + "learning_rate": 1.4062067994653971e-05, + "loss": 0.7467, + "step": 16378 + }, + { + "epoch": 0.39, + "grad_norm": 1.9513521571480634, + "learning_rate": 1.4061370730272527e-05, + "loss": 0.8824, + "step": 16379 + }, + { + "epoch": 0.39, + "grad_norm": 2.188515726789743, + "learning_rate": 1.4060673442244493e-05, + "loss": 0.8994, + "step": 16380 + }, + { + "epoch": 0.39, + "grad_norm": 1.8093963146060925, + "learning_rate": 1.4059976130573936e-05, + "loss": 0.9154, + "step": 16381 + }, + { + "epoch": 0.39, + "grad_norm": 1.6143586865856234, + "learning_rate": 1.4059278795264908e-05, + "loss": 1.0096, + "step": 16382 + }, + { + "epoch": 0.39, + "grad_norm": 1.461907347645083, + "learning_rate": 1.4058581436321478e-05, + "loss": 0.8494, + "step": 16383 + }, + { + "epoch": 0.39, + "grad_norm": 1.9078922784497025, + "learning_rate": 1.4057884053747699e-05, + "loss": 0.8815, + "step": 16384 + }, + { + "epoch": 0.39, + "grad_norm": 1.607397068195541, + "learning_rate": 1.4057186647547638e-05, + "loss": 0.9359, + "step": 16385 + }, + { + "epoch": 0.39, + "grad_norm": 1.844520610045408, + "learning_rate": 1.405648921772535e-05, + "loss": 0.8035, + "step": 16386 + }, + { + "epoch": 0.39, + "grad_norm": 1.61182019340659, + "learning_rate": 1.4055791764284897e-05, + "loss": 0.7632, + "step": 16387 + }, + { + "epoch": 0.39, + "grad_norm": 13.181397789662672, + "learning_rate": 1.405509428723034e-05, + "loss": 0.8269, + "step": 16388 + }, + { + "epoch": 0.39, + "grad_norm": 1.6536230424408038, + "learning_rate": 1.405439678656574e-05, + "loss": 0.8497, + "step": 16389 + }, + { + "epoch": 0.39, + "grad_norm": 1.9341613690328487, + "learning_rate": 1.405369926229516e-05, + "loss": 0.8986, + "step": 16390 + }, + { + "epoch": 0.39, + "grad_norm": 1.679448615701022, + "learning_rate": 1.4053001714422658e-05, + "loss": 0.808, + "step": 16391 + }, + { + "epoch": 0.39, + "grad_norm": 1.4449656771143606, + "learning_rate": 1.4052304142952297e-05, + "loss": 0.8314, + "step": 16392 + }, + { + "epoch": 0.39, + "grad_norm": 2.037709369446287, + "learning_rate": 1.405160654788814e-05, + "loss": 0.7424, + "step": 16393 + }, + { + "epoch": 0.39, + "grad_norm": 1.6027531230614096, + "learning_rate": 1.4050908929234245e-05, + "loss": 0.798, + "step": 16394 + }, + { + "epoch": 0.39, + "grad_norm": 1.6527221790036504, + "learning_rate": 1.4050211286994678e-05, + "loss": 0.9742, + "step": 16395 + }, + { + "epoch": 0.39, + "grad_norm": 1.5415762511107067, + "learning_rate": 1.4049513621173496e-05, + "loss": 0.915, + "step": 16396 + }, + { + "epoch": 0.39, + "grad_norm": 1.6833962052814062, + "learning_rate": 1.4048815931774764e-05, + "loss": 0.9226, + "step": 16397 + }, + { + "epoch": 0.39, + "grad_norm": 1.8926732166394793, + "learning_rate": 1.4048118218802545e-05, + "loss": 0.9414, + "step": 16398 + }, + { + "epoch": 0.39, + "grad_norm": 1.6941573747679186, + "learning_rate": 1.40474204822609e-05, + "loss": 0.7994, + "step": 16399 + }, + { + "epoch": 0.39, + "grad_norm": 1.5589209856306803, + "learning_rate": 1.4046722722153891e-05, + "loss": 0.8443, + "step": 16400 + }, + { + "epoch": 0.39, + "grad_norm": 1.6665357785728563, + "learning_rate": 1.4046024938485581e-05, + "loss": 0.9227, + "step": 16401 + }, + { + "epoch": 0.39, + "grad_norm": 1.7993876180926804, + "learning_rate": 1.4045327131260033e-05, + "loss": 0.9546, + "step": 16402 + }, + { + "epoch": 0.39, + "grad_norm": 1.6768892451717319, + "learning_rate": 1.404462930048131e-05, + "loss": 0.7842, + "step": 16403 + }, + { + "epoch": 0.39, + "grad_norm": 0.8068113521587635, + "learning_rate": 1.4043931446153476e-05, + "loss": 0.7223, + "step": 16404 + }, + { + "epoch": 0.39, + "grad_norm": 0.7873211932201364, + "learning_rate": 1.404323356828059e-05, + "loss": 0.6901, + "step": 16405 + }, + { + "epoch": 0.39, + "grad_norm": 1.4517476495629629, + "learning_rate": 1.404253566686672e-05, + "loss": 0.9145, + "step": 16406 + }, + { + "epoch": 0.39, + "grad_norm": 1.7129479692814542, + "learning_rate": 1.404183774191593e-05, + "loss": 0.865, + "step": 16407 + }, + { + "epoch": 0.39, + "grad_norm": 1.7265899522887902, + "learning_rate": 1.4041139793432274e-05, + "loss": 0.8541, + "step": 16408 + }, + { + "epoch": 0.39, + "grad_norm": 0.7479596396051621, + "learning_rate": 1.4040441821419829e-05, + "loss": 0.6953, + "step": 16409 + }, + { + "epoch": 0.39, + "grad_norm": 1.656448623029043, + "learning_rate": 1.4039743825882648e-05, + "loss": 0.889, + "step": 16410 + }, + { + "epoch": 0.39, + "grad_norm": 1.8505305767900238, + "learning_rate": 1.4039045806824802e-05, + "loss": 0.8075, + "step": 16411 + }, + { + "epoch": 0.39, + "grad_norm": 1.600467033236167, + "learning_rate": 1.4038347764250353e-05, + "loss": 0.8782, + "step": 16412 + }, + { + "epoch": 0.39, + "grad_norm": 1.5476585254838706, + "learning_rate": 1.4037649698163364e-05, + "loss": 0.927, + "step": 16413 + }, + { + "epoch": 0.39, + "grad_norm": 2.6053508106941217, + "learning_rate": 1.4036951608567901e-05, + "loss": 0.818, + "step": 16414 + }, + { + "epoch": 0.39, + "grad_norm": 1.5472349650917168, + "learning_rate": 1.4036253495468026e-05, + "loss": 0.8289, + "step": 16415 + }, + { + "epoch": 0.39, + "grad_norm": 1.716296058194572, + "learning_rate": 1.4035555358867807e-05, + "loss": 0.8728, + "step": 16416 + }, + { + "epoch": 0.39, + "grad_norm": 1.4273356686247443, + "learning_rate": 1.4034857198771308e-05, + "loss": 0.7799, + "step": 16417 + }, + { + "epoch": 0.39, + "grad_norm": 1.5230190341207017, + "learning_rate": 1.4034159015182591e-05, + "loss": 0.9128, + "step": 16418 + }, + { + "epoch": 0.39, + "grad_norm": 2.273045886311453, + "learning_rate": 1.4033460808105723e-05, + "loss": 0.7771, + "step": 16419 + }, + { + "epoch": 0.39, + "grad_norm": 1.7079486463678506, + "learning_rate": 1.403276257754477e-05, + "loss": 0.9761, + "step": 16420 + }, + { + "epoch": 0.39, + "grad_norm": 1.5551988937009404, + "learning_rate": 1.4032064323503796e-05, + "loss": 0.8324, + "step": 16421 + }, + { + "epoch": 0.39, + "grad_norm": 1.440172237628815, + "learning_rate": 1.4031366045986867e-05, + "loss": 0.9864, + "step": 16422 + }, + { + "epoch": 0.39, + "grad_norm": 1.3497474084599987, + "learning_rate": 1.4030667744998048e-05, + "loss": 0.8652, + "step": 16423 + }, + { + "epoch": 0.39, + "grad_norm": 1.4658896530412597, + "learning_rate": 1.4029969420541406e-05, + "loss": 0.8783, + "step": 16424 + }, + { + "epoch": 0.39, + "grad_norm": 1.4822037466701306, + "learning_rate": 1.4029271072621007e-05, + "loss": 0.8537, + "step": 16425 + }, + { + "epoch": 0.39, + "grad_norm": 1.571970701267535, + "learning_rate": 1.4028572701240915e-05, + "loss": 1.0741, + "step": 16426 + }, + { + "epoch": 0.39, + "grad_norm": 2.3927919472545645, + "learning_rate": 1.4027874306405196e-05, + "loss": 0.9984, + "step": 16427 + }, + { + "epoch": 0.39, + "grad_norm": 1.5782243176693111, + "learning_rate": 1.4027175888117921e-05, + "loss": 0.8172, + "step": 16428 + }, + { + "epoch": 0.39, + "grad_norm": 1.5250654138160515, + "learning_rate": 1.4026477446383149e-05, + "loss": 0.8879, + "step": 16429 + }, + { + "epoch": 0.39, + "grad_norm": 1.8999225418813248, + "learning_rate": 1.4025778981204954e-05, + "loss": 0.8686, + "step": 16430 + }, + { + "epoch": 0.39, + "grad_norm": 1.6527637028410853, + "learning_rate": 1.4025080492587397e-05, + "loss": 0.7504, + "step": 16431 + }, + { + "epoch": 0.39, + "grad_norm": 1.6066040394727592, + "learning_rate": 1.4024381980534549e-05, + "loss": 1.0203, + "step": 16432 + }, + { + "epoch": 0.39, + "grad_norm": 2.593167784067781, + "learning_rate": 1.4023683445050473e-05, + "loss": 0.7626, + "step": 16433 + }, + { + "epoch": 0.39, + "grad_norm": 1.6352226379844452, + "learning_rate": 1.4022984886139241e-05, + "loss": 0.9184, + "step": 16434 + }, + { + "epoch": 0.39, + "grad_norm": 1.9136300360507779, + "learning_rate": 1.4022286303804912e-05, + "loss": 0.7956, + "step": 16435 + }, + { + "epoch": 0.39, + "grad_norm": 0.788562094370815, + "learning_rate": 1.4021587698051567e-05, + "loss": 0.714, + "step": 16436 + }, + { + "epoch": 0.39, + "grad_norm": 1.838667769537779, + "learning_rate": 1.4020889068883258e-05, + "loss": 0.9219, + "step": 16437 + }, + { + "epoch": 0.39, + "grad_norm": 3.087121632920503, + "learning_rate": 1.4020190416304062e-05, + "loss": 0.8862, + "step": 16438 + }, + { + "epoch": 0.39, + "grad_norm": 1.7864507984055416, + "learning_rate": 1.4019491740318045e-05, + "loss": 0.9707, + "step": 16439 + }, + { + "epoch": 0.39, + "grad_norm": 1.8829699811897964, + "learning_rate": 1.4018793040929275e-05, + "loss": 0.8358, + "step": 16440 + }, + { + "epoch": 0.39, + "grad_norm": 1.5724260713509537, + "learning_rate": 1.401809431814182e-05, + "loss": 0.9402, + "step": 16441 + }, + { + "epoch": 0.39, + "grad_norm": 1.7701005361699924, + "learning_rate": 1.4017395571959745e-05, + "loss": 0.7501, + "step": 16442 + }, + { + "epoch": 0.39, + "grad_norm": 1.7202982497236803, + "learning_rate": 1.4016696802387121e-05, + "loss": 0.8847, + "step": 16443 + }, + { + "epoch": 0.39, + "grad_norm": 0.7812330513471724, + "learning_rate": 1.401599800942802e-05, + "loss": 0.7674, + "step": 16444 + }, + { + "epoch": 0.39, + "grad_norm": 4.424051061753845, + "learning_rate": 1.4015299193086507e-05, + "loss": 0.8334, + "step": 16445 + }, + { + "epoch": 0.39, + "grad_norm": 1.5622269800568829, + "learning_rate": 1.4014600353366648e-05, + "loss": 0.9442, + "step": 16446 + }, + { + "epoch": 0.39, + "grad_norm": 1.6886351421909591, + "learning_rate": 1.4013901490272517e-05, + "loss": 0.9396, + "step": 16447 + }, + { + "epoch": 0.39, + "grad_norm": 1.6298684050937182, + "learning_rate": 1.401320260380818e-05, + "loss": 0.9389, + "step": 16448 + }, + { + "epoch": 0.39, + "grad_norm": 1.7058673682043577, + "learning_rate": 1.4012503693977705e-05, + "loss": 0.8607, + "step": 16449 + }, + { + "epoch": 0.39, + "grad_norm": 1.5226965842721887, + "learning_rate": 1.4011804760785165e-05, + "loss": 0.8924, + "step": 16450 + }, + { + "epoch": 0.39, + "grad_norm": 1.5493948170219407, + "learning_rate": 1.401110580423463e-05, + "loss": 0.8167, + "step": 16451 + }, + { + "epoch": 0.39, + "grad_norm": 1.5838093553817623, + "learning_rate": 1.4010406824330162e-05, + "loss": 0.856, + "step": 16452 + }, + { + "epoch": 0.39, + "grad_norm": 1.7669042650316356, + "learning_rate": 1.4009707821075843e-05, + "loss": 0.9792, + "step": 16453 + }, + { + "epoch": 0.39, + "grad_norm": 0.7893535693239998, + "learning_rate": 1.4009008794475726e-05, + "loss": 0.764, + "step": 16454 + }, + { + "epoch": 0.39, + "grad_norm": 1.5865693342756575, + "learning_rate": 1.40083097445339e-05, + "loss": 0.7956, + "step": 16455 + }, + { + "epoch": 0.39, + "grad_norm": 0.7956181535459378, + "learning_rate": 1.4007610671254417e-05, + "loss": 0.7537, + "step": 16456 + }, + { + "epoch": 0.39, + "grad_norm": 1.5963188392486074, + "learning_rate": 1.4006911574641363e-05, + "loss": 0.9876, + "step": 16457 + }, + { + "epoch": 0.39, + "grad_norm": 1.5589174697655415, + "learning_rate": 1.4006212454698798e-05, + "loss": 0.8363, + "step": 16458 + }, + { + "epoch": 0.39, + "grad_norm": 1.8495663465389913, + "learning_rate": 1.4005513311430795e-05, + "loss": 0.853, + "step": 16459 + }, + { + "epoch": 0.39, + "grad_norm": 1.8253501316296912, + "learning_rate": 1.4004814144841428e-05, + "loss": 0.8783, + "step": 16460 + }, + { + "epoch": 0.39, + "grad_norm": 1.5635801115308259, + "learning_rate": 1.4004114954934762e-05, + "loss": 1.0237, + "step": 16461 + }, + { + "epoch": 0.39, + "grad_norm": 1.850866065095635, + "learning_rate": 1.4003415741714874e-05, + "loss": 0.8772, + "step": 16462 + }, + { + "epoch": 0.39, + "grad_norm": 0.7458414660093525, + "learning_rate": 1.4002716505185828e-05, + "loss": 0.7269, + "step": 16463 + }, + { + "epoch": 0.39, + "grad_norm": 1.4888105996522287, + "learning_rate": 1.4002017245351705e-05, + "loss": 0.9789, + "step": 16464 + }, + { + "epoch": 0.39, + "grad_norm": 0.8325959171982691, + "learning_rate": 1.4001317962216568e-05, + "loss": 0.7943, + "step": 16465 + }, + { + "epoch": 0.39, + "grad_norm": 1.5624119873888969, + "learning_rate": 1.400061865578449e-05, + "loss": 0.8657, + "step": 16466 + }, + { + "epoch": 0.39, + "grad_norm": 2.0351658022368313, + "learning_rate": 1.3999919326059543e-05, + "loss": 0.9526, + "step": 16467 + }, + { + "epoch": 0.39, + "grad_norm": 1.4379389607483293, + "learning_rate": 1.3999219973045802e-05, + "loss": 0.8487, + "step": 16468 + }, + { + "epoch": 0.39, + "grad_norm": 1.8873551523095775, + "learning_rate": 1.3998520596747333e-05, + "loss": 1.0606, + "step": 16469 + }, + { + "epoch": 0.39, + "grad_norm": 1.7405012960383888, + "learning_rate": 1.3997821197168214e-05, + "loss": 0.8394, + "step": 16470 + }, + { + "epoch": 0.39, + "grad_norm": 0.7952088312501825, + "learning_rate": 1.3997121774312512e-05, + "loss": 0.7845, + "step": 16471 + }, + { + "epoch": 0.39, + "grad_norm": 1.636785128401542, + "learning_rate": 1.3996422328184305e-05, + "loss": 0.9069, + "step": 16472 + }, + { + "epoch": 0.39, + "grad_norm": 1.7859665631395434, + "learning_rate": 1.3995722858787658e-05, + "loss": 0.8788, + "step": 16473 + }, + { + "epoch": 0.39, + "grad_norm": 1.5577337496068009, + "learning_rate": 1.399502336612665e-05, + "loss": 0.8572, + "step": 16474 + }, + { + "epoch": 0.39, + "grad_norm": 1.7125675055244498, + "learning_rate": 1.3994323850205349e-05, + "loss": 0.8452, + "step": 16475 + }, + { + "epoch": 0.39, + "grad_norm": 1.415728406757289, + "learning_rate": 1.3993624311027833e-05, + "loss": 0.8814, + "step": 16476 + }, + { + "epoch": 0.39, + "grad_norm": 2.6171038524071877, + "learning_rate": 1.399292474859817e-05, + "loss": 0.9535, + "step": 16477 + }, + { + "epoch": 0.39, + "grad_norm": 1.5064978415710462, + "learning_rate": 1.3992225162920434e-05, + "loss": 0.7785, + "step": 16478 + }, + { + "epoch": 0.39, + "grad_norm": 1.684273222056987, + "learning_rate": 1.3991525553998704e-05, + "loss": 0.968, + "step": 16479 + }, + { + "epoch": 0.39, + "grad_norm": 1.6856193993424082, + "learning_rate": 1.399082592183704e-05, + "loss": 0.8822, + "step": 16480 + }, + { + "epoch": 0.39, + "grad_norm": 1.5319596918099225, + "learning_rate": 1.3990126266439532e-05, + "loss": 0.9459, + "step": 16481 + }, + { + "epoch": 0.39, + "grad_norm": 1.6105158295470958, + "learning_rate": 1.3989426587810241e-05, + "loss": 0.7716, + "step": 16482 + }, + { + "epoch": 0.39, + "grad_norm": 1.5704516698445268, + "learning_rate": 1.398872688595325e-05, + "loss": 0.8061, + "step": 16483 + }, + { + "epoch": 0.39, + "grad_norm": 1.7204002412396469, + "learning_rate": 1.3988027160872624e-05, + "loss": 0.8203, + "step": 16484 + }, + { + "epoch": 0.39, + "grad_norm": 1.571309025983938, + "learning_rate": 1.3987327412572442e-05, + "loss": 0.9489, + "step": 16485 + }, + { + "epoch": 0.39, + "grad_norm": 0.7496229930218923, + "learning_rate": 1.3986627641056777e-05, + "loss": 0.7446, + "step": 16486 + }, + { + "epoch": 0.39, + "grad_norm": 2.143809224898404, + "learning_rate": 1.3985927846329705e-05, + "loss": 0.9437, + "step": 16487 + }, + { + "epoch": 0.39, + "grad_norm": 1.6042638385902839, + "learning_rate": 1.3985228028395298e-05, + "loss": 0.8334, + "step": 16488 + }, + { + "epoch": 0.39, + "grad_norm": 2.044688369822954, + "learning_rate": 1.3984528187257636e-05, + "loss": 0.8479, + "step": 16489 + }, + { + "epoch": 0.39, + "grad_norm": 1.800834634493447, + "learning_rate": 1.3983828322920786e-05, + "loss": 0.8922, + "step": 16490 + }, + { + "epoch": 0.39, + "grad_norm": 1.7119947218349065, + "learning_rate": 1.3983128435388824e-05, + "loss": 0.868, + "step": 16491 + }, + { + "epoch": 0.39, + "grad_norm": 1.5950695022861274, + "learning_rate": 1.398242852466583e-05, + "loss": 0.9165, + "step": 16492 + }, + { + "epoch": 0.39, + "grad_norm": 1.610233303807617, + "learning_rate": 1.3981728590755877e-05, + "loss": 0.8182, + "step": 16493 + }, + { + "epoch": 0.39, + "grad_norm": 1.9770892403423892, + "learning_rate": 1.3981028633663036e-05, + "loss": 0.9379, + "step": 16494 + }, + { + "epoch": 0.39, + "grad_norm": 1.578330731496184, + "learning_rate": 1.3980328653391389e-05, + "loss": 0.8903, + "step": 16495 + }, + { + "epoch": 0.39, + "grad_norm": 1.6012208156702272, + "learning_rate": 1.3979628649945007e-05, + "loss": 0.715, + "step": 16496 + }, + { + "epoch": 0.39, + "grad_norm": 1.5592942709972182, + "learning_rate": 1.3978928623327969e-05, + "loss": 0.8402, + "step": 16497 + }, + { + "epoch": 0.39, + "grad_norm": 0.7335970631022575, + "learning_rate": 1.3978228573544348e-05, + "loss": 0.6721, + "step": 16498 + }, + { + "epoch": 0.39, + "grad_norm": 1.6670432250551634, + "learning_rate": 1.3977528500598218e-05, + "loss": 0.8947, + "step": 16499 + }, + { + "epoch": 0.39, + "grad_norm": 2.126098507888115, + "learning_rate": 1.3976828404493662e-05, + "loss": 0.7952, + "step": 16500 + }, + { + "epoch": 0.39, + "grad_norm": 1.6056015740365606, + "learning_rate": 1.3976128285234748e-05, + "loss": 0.8981, + "step": 16501 + }, + { + "epoch": 0.39, + "grad_norm": 1.7264184487807395, + "learning_rate": 1.3975428142825562e-05, + "loss": 0.9697, + "step": 16502 + }, + { + "epoch": 0.39, + "grad_norm": 1.5797350167846873, + "learning_rate": 1.3974727977270167e-05, + "loss": 0.9897, + "step": 16503 + }, + { + "epoch": 0.39, + "grad_norm": 1.5948358371015465, + "learning_rate": 1.3974027788572655e-05, + "loss": 0.9048, + "step": 16504 + }, + { + "epoch": 0.39, + "grad_norm": 1.4745074406066971, + "learning_rate": 1.397332757673709e-05, + "loss": 0.9377, + "step": 16505 + }, + { + "epoch": 0.39, + "grad_norm": 0.836372649415688, + "learning_rate": 1.3972627341767555e-05, + "loss": 0.7551, + "step": 16506 + }, + { + "epoch": 0.39, + "grad_norm": 1.7962235324520828, + "learning_rate": 1.3971927083668127e-05, + "loss": 0.9925, + "step": 16507 + }, + { + "epoch": 0.39, + "grad_norm": 0.7552518409679839, + "learning_rate": 1.397122680244288e-05, + "loss": 0.7841, + "step": 16508 + }, + { + "epoch": 0.39, + "grad_norm": 1.4972099153298453, + "learning_rate": 1.3970526498095897e-05, + "loss": 0.8198, + "step": 16509 + }, + { + "epoch": 0.39, + "grad_norm": 1.6652364639338586, + "learning_rate": 1.3969826170631247e-05, + "loss": 0.9041, + "step": 16510 + }, + { + "epoch": 0.39, + "grad_norm": 1.8853131891226598, + "learning_rate": 1.3969125820053018e-05, + "loss": 0.8785, + "step": 16511 + }, + { + "epoch": 0.39, + "grad_norm": 1.8110704623451601, + "learning_rate": 1.3968425446365275e-05, + "loss": 0.9262, + "step": 16512 + }, + { + "epoch": 0.39, + "grad_norm": 1.6208728023378853, + "learning_rate": 1.3967725049572109e-05, + "loss": 0.7684, + "step": 16513 + }, + { + "epoch": 0.39, + "grad_norm": 1.8669054862915355, + "learning_rate": 1.3967024629677585e-05, + "loss": 0.8676, + "step": 16514 + }, + { + "epoch": 0.39, + "grad_norm": 0.8127817133500367, + "learning_rate": 1.3966324186685795e-05, + "loss": 0.7393, + "step": 16515 + }, + { + "epoch": 0.39, + "grad_norm": 1.5801325089002545, + "learning_rate": 1.3965623720600805e-05, + "loss": 0.914, + "step": 16516 + }, + { + "epoch": 0.39, + "grad_norm": 1.6298701722843174, + "learning_rate": 1.3964923231426701e-05, + "loss": 0.9515, + "step": 16517 + }, + { + "epoch": 0.39, + "grad_norm": 1.5881473136130522, + "learning_rate": 1.3964222719167557e-05, + "loss": 0.8426, + "step": 16518 + }, + { + "epoch": 0.39, + "grad_norm": 2.2437156192264758, + "learning_rate": 1.3963522183827454e-05, + "loss": 0.6891, + "step": 16519 + }, + { + "epoch": 0.39, + "grad_norm": 1.759361248165486, + "learning_rate": 1.3962821625410468e-05, + "loss": 0.8836, + "step": 16520 + }, + { + "epoch": 0.39, + "grad_norm": 1.8239612310789746, + "learning_rate": 1.3962121043920682e-05, + "loss": 0.8962, + "step": 16521 + }, + { + "epoch": 0.39, + "grad_norm": 1.7378430568642484, + "learning_rate": 1.3961420439362173e-05, + "loss": 1.0126, + "step": 16522 + }, + { + "epoch": 0.39, + "grad_norm": 1.5769663224687969, + "learning_rate": 1.396071981173902e-05, + "loss": 0.8547, + "step": 16523 + }, + { + "epoch": 0.39, + "grad_norm": 1.5426173131328391, + "learning_rate": 1.3960019161055297e-05, + "loss": 0.859, + "step": 16524 + }, + { + "epoch": 0.39, + "grad_norm": 1.5523420385320745, + "learning_rate": 1.3959318487315096e-05, + "loss": 0.8217, + "step": 16525 + }, + { + "epoch": 0.39, + "grad_norm": 0.8539611702180451, + "learning_rate": 1.3958617790522486e-05, + "loss": 0.7902, + "step": 16526 + }, + { + "epoch": 0.39, + "grad_norm": 1.705501960824977, + "learning_rate": 1.395791707068155e-05, + "loss": 0.801, + "step": 16527 + }, + { + "epoch": 0.39, + "grad_norm": 1.4271200501356707, + "learning_rate": 1.3957216327796368e-05, + "loss": 0.9643, + "step": 16528 + }, + { + "epoch": 0.39, + "grad_norm": 1.6575389938913483, + "learning_rate": 1.395651556187102e-05, + "loss": 0.9097, + "step": 16529 + }, + { + "epoch": 0.39, + "grad_norm": 1.5400276969635114, + "learning_rate": 1.3955814772909588e-05, + "loss": 0.8878, + "step": 16530 + }, + { + "epoch": 0.39, + "grad_norm": 1.9230647008020967, + "learning_rate": 1.3955113960916146e-05, + "loss": 0.8779, + "step": 16531 + }, + { + "epoch": 0.39, + "grad_norm": 1.7717775686733348, + "learning_rate": 1.3954413125894783e-05, + "loss": 0.8314, + "step": 16532 + }, + { + "epoch": 0.39, + "grad_norm": 1.5685022338497765, + "learning_rate": 1.3953712267849568e-05, + "loss": 0.8958, + "step": 16533 + }, + { + "epoch": 0.39, + "grad_norm": 2.2435774427194217, + "learning_rate": 1.3953011386784597e-05, + "loss": 0.8236, + "step": 16534 + }, + { + "epoch": 0.39, + "grad_norm": 1.8468977932314676, + "learning_rate": 1.3952310482703935e-05, + "loss": 0.9096, + "step": 16535 + }, + { + "epoch": 0.39, + "grad_norm": 1.6735913526058421, + "learning_rate": 1.3951609555611673e-05, + "loss": 0.7829, + "step": 16536 + }, + { + "epoch": 0.39, + "grad_norm": 1.5267049200858098, + "learning_rate": 1.3950908605511888e-05, + "loss": 0.7801, + "step": 16537 + }, + { + "epoch": 0.39, + "grad_norm": 1.398064320802622, + "learning_rate": 1.3950207632408662e-05, + "loss": 0.8308, + "step": 16538 + }, + { + "epoch": 0.39, + "grad_norm": 2.1288655718747123, + "learning_rate": 1.394950663630608e-05, + "loss": 0.9915, + "step": 16539 + }, + { + "epoch": 0.39, + "grad_norm": 1.622215114848383, + "learning_rate": 1.3948805617208216e-05, + "loss": 0.8514, + "step": 16540 + }, + { + "epoch": 0.39, + "grad_norm": 1.9354862943960744, + "learning_rate": 1.394810457511916e-05, + "loss": 0.9963, + "step": 16541 + }, + { + "epoch": 0.39, + "grad_norm": 1.555474669279308, + "learning_rate": 1.3947403510042984e-05, + "loss": 0.8728, + "step": 16542 + }, + { + "epoch": 0.39, + "grad_norm": 1.6190610384405875, + "learning_rate": 1.3946702421983778e-05, + "loss": 0.8422, + "step": 16543 + }, + { + "epoch": 0.39, + "grad_norm": 2.348701263310551, + "learning_rate": 1.394600131094562e-05, + "loss": 0.832, + "step": 16544 + }, + { + "epoch": 0.39, + "grad_norm": 1.5358160458728358, + "learning_rate": 1.3945300176932594e-05, + "loss": 0.8956, + "step": 16545 + }, + { + "epoch": 0.39, + "grad_norm": 1.5217191642557746, + "learning_rate": 1.3944599019948779e-05, + "loss": 0.8787, + "step": 16546 + }, + { + "epoch": 0.39, + "grad_norm": 1.5858442238238846, + "learning_rate": 1.3943897839998265e-05, + "loss": 0.9606, + "step": 16547 + }, + { + "epoch": 0.39, + "grad_norm": 1.7654763322898677, + "learning_rate": 1.3943196637085123e-05, + "loss": 0.8574, + "step": 16548 + }, + { + "epoch": 0.39, + "grad_norm": 1.842713085892872, + "learning_rate": 1.3942495411213446e-05, + "loss": 0.944, + "step": 16549 + }, + { + "epoch": 0.39, + "grad_norm": 2.160304252572655, + "learning_rate": 1.394179416238731e-05, + "loss": 0.8654, + "step": 16550 + }, + { + "epoch": 0.39, + "grad_norm": 2.490980423851057, + "learning_rate": 1.3941092890610803e-05, + "loss": 0.7522, + "step": 16551 + }, + { + "epoch": 0.39, + "grad_norm": 1.7647268725996514, + "learning_rate": 1.3940391595888e-05, + "loss": 0.9868, + "step": 16552 + }, + { + "epoch": 0.39, + "grad_norm": 1.5822990800060968, + "learning_rate": 1.3939690278222997e-05, + "loss": 0.8851, + "step": 16553 + }, + { + "epoch": 0.39, + "grad_norm": 2.0439815748411276, + "learning_rate": 1.3938988937619864e-05, + "loss": 1.0015, + "step": 16554 + }, + { + "epoch": 0.39, + "grad_norm": 1.5325555522277352, + "learning_rate": 1.3938287574082692e-05, + "loss": 0.9693, + "step": 16555 + }, + { + "epoch": 0.39, + "grad_norm": 0.7184694130558971, + "learning_rate": 1.3937586187615564e-05, + "loss": 0.6547, + "step": 16556 + }, + { + "epoch": 0.39, + "grad_norm": 2.0423223131511277, + "learning_rate": 1.3936884778222562e-05, + "loss": 0.8464, + "step": 16557 + }, + { + "epoch": 0.39, + "grad_norm": 1.4707431507751123, + "learning_rate": 1.3936183345907772e-05, + "loss": 0.8572, + "step": 16558 + }, + { + "epoch": 0.39, + "grad_norm": 1.5577714198684194, + "learning_rate": 1.3935481890675273e-05, + "loss": 0.9588, + "step": 16559 + }, + { + "epoch": 0.39, + "grad_norm": 1.8271784958337018, + "learning_rate": 1.3934780412529158e-05, + "loss": 0.8581, + "step": 16560 + }, + { + "epoch": 0.39, + "grad_norm": 2.183996011698615, + "learning_rate": 1.3934078911473499e-05, + "loss": 1.0059, + "step": 16561 + }, + { + "epoch": 0.39, + "grad_norm": 1.7980786218174996, + "learning_rate": 1.3933377387512393e-05, + "loss": 0.9266, + "step": 16562 + }, + { + "epoch": 0.39, + "grad_norm": 1.6478992196198186, + "learning_rate": 1.3932675840649915e-05, + "loss": 0.8226, + "step": 16563 + }, + { + "epoch": 0.39, + "grad_norm": 1.7511557683402357, + "learning_rate": 1.3931974270890154e-05, + "loss": 1.0021, + "step": 16564 + }, + { + "epoch": 0.39, + "grad_norm": 1.6425486592929648, + "learning_rate": 1.393127267823719e-05, + "loss": 0.8396, + "step": 16565 + }, + { + "epoch": 0.39, + "grad_norm": 1.6827635920878259, + "learning_rate": 1.393057106269512e-05, + "loss": 0.9017, + "step": 16566 + }, + { + "epoch": 0.39, + "grad_norm": 1.5179255313728532, + "learning_rate": 1.3929869424268016e-05, + "loss": 0.8973, + "step": 16567 + }, + { + "epoch": 0.39, + "grad_norm": 1.6757273036631084, + "learning_rate": 1.392916776295997e-05, + "loss": 0.8084, + "step": 16568 + }, + { + "epoch": 0.39, + "grad_norm": 1.9622727105037956, + "learning_rate": 1.3928466078775063e-05, + "loss": 0.9186, + "step": 16569 + }, + { + "epoch": 0.39, + "grad_norm": 1.4851222313458114, + "learning_rate": 1.3927764371717386e-05, + "loss": 1.0243, + "step": 16570 + }, + { + "epoch": 0.39, + "grad_norm": 1.7414189053089943, + "learning_rate": 1.3927062641791018e-05, + "loss": 0.9958, + "step": 16571 + }, + { + "epoch": 0.39, + "grad_norm": 1.520474299926393, + "learning_rate": 1.3926360889000048e-05, + "loss": 0.8828, + "step": 16572 + }, + { + "epoch": 0.39, + "grad_norm": 1.8815953452002712, + "learning_rate": 1.3925659113348564e-05, + "loss": 0.8822, + "step": 16573 + }, + { + "epoch": 0.39, + "grad_norm": 1.8366173867322462, + "learning_rate": 1.3924957314840648e-05, + "loss": 0.8431, + "step": 16574 + }, + { + "epoch": 0.39, + "grad_norm": 1.5307335346006175, + "learning_rate": 1.3924255493480387e-05, + "loss": 0.9158, + "step": 16575 + }, + { + "epoch": 0.39, + "grad_norm": 2.392695115571882, + "learning_rate": 1.392355364927187e-05, + "loss": 0.9195, + "step": 16576 + }, + { + "epoch": 0.39, + "grad_norm": 1.7261624516701242, + "learning_rate": 1.3922851782219182e-05, + "loss": 0.9341, + "step": 16577 + }, + { + "epoch": 0.39, + "grad_norm": 1.714374680114032, + "learning_rate": 1.3922149892326409e-05, + "loss": 0.8189, + "step": 16578 + }, + { + "epoch": 0.39, + "grad_norm": 1.7584343618210205, + "learning_rate": 1.3921447979597636e-05, + "loss": 0.8413, + "step": 16579 + }, + { + "epoch": 0.39, + "grad_norm": 1.4807307511547363, + "learning_rate": 1.3920746044036953e-05, + "loss": 0.9116, + "step": 16580 + }, + { + "epoch": 0.39, + "grad_norm": 0.7704318374219407, + "learning_rate": 1.3920044085648446e-05, + "loss": 0.7186, + "step": 16581 + }, + { + "epoch": 0.39, + "grad_norm": 0.7425516287992221, + "learning_rate": 1.3919342104436198e-05, + "loss": 0.7293, + "step": 16582 + }, + { + "epoch": 0.39, + "grad_norm": 1.9727501203904205, + "learning_rate": 1.3918640100404301e-05, + "loss": 0.7622, + "step": 16583 + }, + { + "epoch": 0.39, + "grad_norm": 1.673616074442927, + "learning_rate": 1.3917938073556841e-05, + "loss": 0.8632, + "step": 16584 + }, + { + "epoch": 0.39, + "grad_norm": 1.6741260071508342, + "learning_rate": 1.3917236023897906e-05, + "loss": 0.8124, + "step": 16585 + }, + { + "epoch": 0.39, + "grad_norm": 1.5619940765139682, + "learning_rate": 1.3916533951431579e-05, + "loss": 0.9804, + "step": 16586 + }, + { + "epoch": 0.39, + "grad_norm": 1.5779650502805318, + "learning_rate": 1.3915831856161956e-05, + "loss": 0.9039, + "step": 16587 + }, + { + "epoch": 0.39, + "grad_norm": 1.7869156049729449, + "learning_rate": 1.3915129738093119e-05, + "loss": 0.792, + "step": 16588 + }, + { + "epoch": 0.39, + "grad_norm": 1.9424395830417756, + "learning_rate": 1.3914427597229156e-05, + "loss": 0.9384, + "step": 16589 + }, + { + "epoch": 0.39, + "grad_norm": 1.766104298640751, + "learning_rate": 1.3913725433574157e-05, + "loss": 1.0154, + "step": 16590 + }, + { + "epoch": 0.39, + "grad_norm": 1.662798934343351, + "learning_rate": 1.391302324713221e-05, + "loss": 0.849, + "step": 16591 + }, + { + "epoch": 0.39, + "grad_norm": 1.8892741143055602, + "learning_rate": 1.39123210379074e-05, + "loss": 0.9694, + "step": 16592 + }, + { + "epoch": 0.39, + "grad_norm": 1.4105524969843948, + "learning_rate": 1.391161880590382e-05, + "loss": 0.9107, + "step": 16593 + }, + { + "epoch": 0.39, + "grad_norm": 2.8795494622452114, + "learning_rate": 1.3910916551125558e-05, + "loss": 1.1014, + "step": 16594 + }, + { + "epoch": 0.39, + "grad_norm": 1.7100219132069077, + "learning_rate": 1.3910214273576701e-05, + "loss": 1.005, + "step": 16595 + }, + { + "epoch": 0.39, + "grad_norm": 0.7572380186297698, + "learning_rate": 1.3909511973261339e-05, + "loss": 0.7577, + "step": 16596 + }, + { + "epoch": 0.39, + "grad_norm": 1.7732381319018444, + "learning_rate": 1.3908809650183559e-05, + "loss": 0.8528, + "step": 16597 + }, + { + "epoch": 0.39, + "grad_norm": 1.5426792319434213, + "learning_rate": 1.3908107304347453e-05, + "loss": 0.8075, + "step": 16598 + }, + { + "epoch": 0.39, + "grad_norm": 1.5942128051267412, + "learning_rate": 1.3907404935757107e-05, + "loss": 0.8998, + "step": 16599 + }, + { + "epoch": 0.39, + "grad_norm": 1.6133224749067745, + "learning_rate": 1.3906702544416614e-05, + "loss": 0.8848, + "step": 16600 + }, + { + "epoch": 0.39, + "grad_norm": 1.7405795704644194, + "learning_rate": 1.3906000130330061e-05, + "loss": 0.8261, + "step": 16601 + }, + { + "epoch": 0.39, + "grad_norm": 1.8713864737130903, + "learning_rate": 1.3905297693501543e-05, + "loss": 0.9029, + "step": 16602 + }, + { + "epoch": 0.39, + "grad_norm": 1.841708393524511, + "learning_rate": 1.3904595233935139e-05, + "loss": 0.919, + "step": 16603 + }, + { + "epoch": 0.39, + "grad_norm": 1.5031528950835722, + "learning_rate": 1.3903892751634949e-05, + "loss": 0.8634, + "step": 16604 + }, + { + "epoch": 0.39, + "grad_norm": 1.6541616976837101, + "learning_rate": 1.3903190246605059e-05, + "loss": 0.884, + "step": 16605 + }, + { + "epoch": 0.39, + "grad_norm": 1.7040395811840658, + "learning_rate": 1.390248771884956e-05, + "loss": 0.9579, + "step": 16606 + }, + { + "epoch": 0.39, + "grad_norm": 1.7983469011656124, + "learning_rate": 1.3901785168372542e-05, + "loss": 0.8291, + "step": 16607 + }, + { + "epoch": 0.39, + "grad_norm": 1.9602450277663295, + "learning_rate": 1.3901082595178092e-05, + "loss": 1.0282, + "step": 16608 + }, + { + "epoch": 0.39, + "grad_norm": 1.652487549811884, + "learning_rate": 1.390037999927031e-05, + "loss": 0.9666, + "step": 16609 + }, + { + "epoch": 0.39, + "grad_norm": 1.4338777691400688, + "learning_rate": 1.3899677380653276e-05, + "loss": 0.9065, + "step": 16610 + }, + { + "epoch": 0.39, + "grad_norm": 2.0382969843923595, + "learning_rate": 1.3898974739331091e-05, + "loss": 0.904, + "step": 16611 + }, + { + "epoch": 0.39, + "grad_norm": 1.5551200945808736, + "learning_rate": 1.3898272075307833e-05, + "loss": 1.0322, + "step": 16612 + }, + { + "epoch": 0.39, + "grad_norm": 1.8601685831520691, + "learning_rate": 1.3897569388587609e-05, + "loss": 0.9163, + "step": 16613 + }, + { + "epoch": 0.39, + "grad_norm": 1.6710631186032048, + "learning_rate": 1.3896866679174495e-05, + "loss": 0.8586, + "step": 16614 + }, + { + "epoch": 0.39, + "grad_norm": 1.4614909431079044, + "learning_rate": 1.3896163947072595e-05, + "loss": 0.9238, + "step": 16615 + }, + { + "epoch": 0.39, + "grad_norm": 1.5433721666672195, + "learning_rate": 1.3895461192285992e-05, + "loss": 1.0021, + "step": 16616 + }, + { + "epoch": 0.39, + "grad_norm": 1.5159307130748985, + "learning_rate": 1.3894758414818781e-05, + "loss": 0.8855, + "step": 16617 + }, + { + "epoch": 0.39, + "grad_norm": 1.7540846418609888, + "learning_rate": 1.3894055614675052e-05, + "loss": 0.9681, + "step": 16618 + }, + { + "epoch": 0.39, + "grad_norm": 1.6687250376657188, + "learning_rate": 1.38933527918589e-05, + "loss": 1.0058, + "step": 16619 + }, + { + "epoch": 0.39, + "grad_norm": 1.669220493770661, + "learning_rate": 1.3892649946374417e-05, + "loss": 0.9706, + "step": 16620 + }, + { + "epoch": 0.39, + "grad_norm": 1.6604359877043007, + "learning_rate": 1.3891947078225692e-05, + "loss": 0.9754, + "step": 16621 + }, + { + "epoch": 0.39, + "grad_norm": 1.6008719751423472, + "learning_rate": 1.389124418741682e-05, + "loss": 0.9383, + "step": 16622 + }, + { + "epoch": 0.39, + "grad_norm": 1.912817977934686, + "learning_rate": 1.389054127395189e-05, + "loss": 0.916, + "step": 16623 + }, + { + "epoch": 0.39, + "grad_norm": 1.5544353305234242, + "learning_rate": 1.3889838337834997e-05, + "loss": 0.9946, + "step": 16624 + }, + { + "epoch": 0.39, + "grad_norm": 3.538773850343323, + "learning_rate": 1.3889135379070235e-05, + "loss": 0.8046, + "step": 16625 + }, + { + "epoch": 0.39, + "grad_norm": 1.4164474206927726, + "learning_rate": 1.3888432397661697e-05, + "loss": 0.8206, + "step": 16626 + }, + { + "epoch": 0.39, + "grad_norm": 2.2839671308870972, + "learning_rate": 1.3887729393613471e-05, + "loss": 0.9026, + "step": 16627 + }, + { + "epoch": 0.39, + "grad_norm": 1.6860209314802395, + "learning_rate": 1.3887026366929657e-05, + "loss": 0.9001, + "step": 16628 + }, + { + "epoch": 0.39, + "grad_norm": 1.5557789237437907, + "learning_rate": 1.3886323317614344e-05, + "loss": 0.7626, + "step": 16629 + }, + { + "epoch": 0.39, + "grad_norm": 1.4360919042226026, + "learning_rate": 1.3885620245671624e-05, + "loss": 0.9046, + "step": 16630 + }, + { + "epoch": 0.39, + "grad_norm": 0.7564898992292257, + "learning_rate": 1.3884917151105595e-05, + "loss": 0.7473, + "step": 16631 + }, + { + "epoch": 0.39, + "grad_norm": 1.4967438893240617, + "learning_rate": 1.388421403392035e-05, + "loss": 0.8642, + "step": 16632 + }, + { + "epoch": 0.39, + "grad_norm": 1.7180080312927388, + "learning_rate": 1.3883510894119979e-05, + "loss": 0.764, + "step": 16633 + }, + { + "epoch": 0.39, + "grad_norm": 1.4559451460329225, + "learning_rate": 1.3882807731708579e-05, + "loss": 0.9825, + "step": 16634 + }, + { + "epoch": 0.39, + "grad_norm": 0.7564154747143443, + "learning_rate": 1.3882104546690241e-05, + "loss": 0.7374, + "step": 16635 + }, + { + "epoch": 0.39, + "grad_norm": 1.6400979303070133, + "learning_rate": 1.3881401339069064e-05, + "loss": 0.9142, + "step": 16636 + }, + { + "epoch": 0.39, + "grad_norm": 2.33035326539178, + "learning_rate": 1.3880698108849138e-05, + "loss": 0.9364, + "step": 16637 + }, + { + "epoch": 0.39, + "grad_norm": 0.7976530380467783, + "learning_rate": 1.387999485603456e-05, + "loss": 0.6873, + "step": 16638 + }, + { + "epoch": 0.39, + "grad_norm": 1.429205379397053, + "learning_rate": 1.3879291580629421e-05, + "loss": 0.9181, + "step": 16639 + }, + { + "epoch": 0.39, + "grad_norm": 1.6840301417990426, + "learning_rate": 1.3878588282637822e-05, + "loss": 0.9942, + "step": 16640 + }, + { + "epoch": 0.39, + "grad_norm": 2.1288643804832708, + "learning_rate": 1.3877884962063853e-05, + "loss": 0.7825, + "step": 16641 + }, + { + "epoch": 0.39, + "grad_norm": 1.557535616538521, + "learning_rate": 1.3877181618911606e-05, + "loss": 0.8984, + "step": 16642 + }, + { + "epoch": 0.39, + "grad_norm": 1.6323273281375323, + "learning_rate": 1.3876478253185183e-05, + "loss": 0.8882, + "step": 16643 + }, + { + "epoch": 0.39, + "grad_norm": 0.7248706466687564, + "learning_rate": 1.3875774864888675e-05, + "loss": 0.7394, + "step": 16644 + }, + { + "epoch": 0.39, + "grad_norm": 1.689540150690781, + "learning_rate": 1.3875071454026183e-05, + "loss": 0.8251, + "step": 16645 + }, + { + "epoch": 0.39, + "grad_norm": 1.7601141205162094, + "learning_rate": 1.3874368020601796e-05, + "loss": 0.9014, + "step": 16646 + }, + { + "epoch": 0.39, + "grad_norm": 1.5458253245744726, + "learning_rate": 1.3873664564619612e-05, + "loss": 0.882, + "step": 16647 + }, + { + "epoch": 0.39, + "grad_norm": 1.4186917480118992, + "learning_rate": 1.3872961086083725e-05, + "loss": 0.7944, + "step": 16648 + }, + { + "epoch": 0.39, + "grad_norm": 1.3461564326784954, + "learning_rate": 1.3872257584998235e-05, + "loss": 0.9063, + "step": 16649 + }, + { + "epoch": 0.39, + "grad_norm": 1.671163720947365, + "learning_rate": 1.3871554061367232e-05, + "loss": 0.961, + "step": 16650 + }, + { + "epoch": 0.39, + "grad_norm": 2.3315694800212765, + "learning_rate": 1.3870850515194817e-05, + "loss": 0.9719, + "step": 16651 + }, + { + "epoch": 0.39, + "grad_norm": 1.535804636065625, + "learning_rate": 1.3870146946485083e-05, + "loss": 0.9972, + "step": 16652 + }, + { + "epoch": 0.39, + "grad_norm": 1.669952141284636, + "learning_rate": 1.386944335524213e-05, + "loss": 0.8086, + "step": 16653 + }, + { + "epoch": 0.39, + "grad_norm": 1.620882491736195, + "learning_rate": 1.3868739741470055e-05, + "loss": 0.8319, + "step": 16654 + }, + { + "epoch": 0.39, + "grad_norm": 0.7521995556702711, + "learning_rate": 1.386803610517295e-05, + "loss": 0.759, + "step": 16655 + }, + { + "epoch": 0.39, + "grad_norm": 1.5271543558554663, + "learning_rate": 1.3867332446354916e-05, + "loss": 0.8599, + "step": 16656 + }, + { + "epoch": 0.39, + "grad_norm": 1.6556391576780163, + "learning_rate": 1.3866628765020045e-05, + "loss": 0.9469, + "step": 16657 + }, + { + "epoch": 0.39, + "grad_norm": 1.7941847600296739, + "learning_rate": 1.3865925061172439e-05, + "loss": 0.9043, + "step": 16658 + }, + { + "epoch": 0.39, + "grad_norm": 1.8669850478026808, + "learning_rate": 1.3865221334816193e-05, + "loss": 0.7904, + "step": 16659 + }, + { + "epoch": 0.39, + "grad_norm": 1.7546323320922605, + "learning_rate": 1.3864517585955406e-05, + "loss": 0.8827, + "step": 16660 + }, + { + "epoch": 0.39, + "grad_norm": 0.7255578064904339, + "learning_rate": 1.3863813814594172e-05, + "loss": 0.7139, + "step": 16661 + }, + { + "epoch": 0.39, + "grad_norm": 1.9597206665766933, + "learning_rate": 1.3863110020736592e-05, + "loss": 0.8821, + "step": 16662 + }, + { + "epoch": 0.39, + "grad_norm": 1.7801394455319641, + "learning_rate": 1.3862406204386761e-05, + "loss": 0.806, + "step": 16663 + }, + { + "epoch": 0.39, + "grad_norm": 1.8348421410899458, + "learning_rate": 1.3861702365548781e-05, + "loss": 0.948, + "step": 16664 + }, + { + "epoch": 0.39, + "grad_norm": 1.6285910167175528, + "learning_rate": 1.3860998504226744e-05, + "loss": 0.8977, + "step": 16665 + }, + { + "epoch": 0.39, + "grad_norm": 2.09064408505453, + "learning_rate": 1.3860294620424754e-05, + "loss": 0.9547, + "step": 16666 + }, + { + "epoch": 0.39, + "grad_norm": 1.7929370148719823, + "learning_rate": 1.3859590714146906e-05, + "loss": 0.9302, + "step": 16667 + }, + { + "epoch": 0.39, + "grad_norm": 1.4958166812160127, + "learning_rate": 1.38588867853973e-05, + "loss": 0.7799, + "step": 16668 + }, + { + "epoch": 0.39, + "grad_norm": 1.592454126945998, + "learning_rate": 1.385818283418003e-05, + "loss": 0.8167, + "step": 16669 + }, + { + "epoch": 0.39, + "grad_norm": 1.5972414732522149, + "learning_rate": 1.3857478860499201e-05, + "loss": 0.8641, + "step": 16670 + }, + { + "epoch": 0.39, + "grad_norm": 1.3415784582998824, + "learning_rate": 1.3856774864358906e-05, + "loss": 0.8254, + "step": 16671 + }, + { + "epoch": 0.39, + "grad_norm": 1.9132955805591612, + "learning_rate": 1.385607084576325e-05, + "loss": 0.8368, + "step": 16672 + }, + { + "epoch": 0.39, + "grad_norm": 2.086749674183042, + "learning_rate": 1.3855366804716326e-05, + "loss": 0.7987, + "step": 16673 + }, + { + "epoch": 0.39, + "grad_norm": 0.7813569655803666, + "learning_rate": 1.3854662741222238e-05, + "loss": 0.7054, + "step": 16674 + }, + { + "epoch": 0.39, + "grad_norm": 1.5485419713918214, + "learning_rate": 1.385395865528508e-05, + "loss": 0.8799, + "step": 16675 + }, + { + "epoch": 0.39, + "grad_norm": 1.4383469069238073, + "learning_rate": 1.3853254546908958e-05, + "loss": 0.889, + "step": 16676 + }, + { + "epoch": 0.39, + "grad_norm": 1.7217417378429198, + "learning_rate": 1.3852550416097968e-05, + "loss": 0.8628, + "step": 16677 + }, + { + "epoch": 0.39, + "grad_norm": 1.54105854050211, + "learning_rate": 1.3851846262856208e-05, + "loss": 0.9518, + "step": 16678 + }, + { + "epoch": 0.39, + "grad_norm": 1.7990320556024146, + "learning_rate": 1.3851142087187778e-05, + "loss": 0.8765, + "step": 16679 + }, + { + "epoch": 0.39, + "grad_norm": 1.6505535666031783, + "learning_rate": 1.3850437889096781e-05, + "loss": 0.8007, + "step": 16680 + }, + { + "epoch": 0.39, + "grad_norm": 1.6467097427501327, + "learning_rate": 1.384973366858732e-05, + "loss": 0.8526, + "step": 16681 + }, + { + "epoch": 0.39, + "grad_norm": 3.141443424377261, + "learning_rate": 1.3849029425663485e-05, + "loss": 0.8879, + "step": 16682 + }, + { + "epoch": 0.39, + "grad_norm": 1.4876395090982413, + "learning_rate": 1.3848325160329386e-05, + "loss": 0.8165, + "step": 16683 + }, + { + "epoch": 0.39, + "grad_norm": 1.4643451018577027, + "learning_rate": 1.3847620872589116e-05, + "loss": 0.824, + "step": 16684 + }, + { + "epoch": 0.39, + "grad_norm": 1.9199385989263331, + "learning_rate": 1.3846916562446784e-05, + "loss": 0.8672, + "step": 16685 + }, + { + "epoch": 0.39, + "grad_norm": 1.9786174106987846, + "learning_rate": 1.384621222990648e-05, + "loss": 0.7408, + "step": 16686 + }, + { + "epoch": 0.39, + "grad_norm": 0.745020900169532, + "learning_rate": 1.3845507874972314e-05, + "loss": 0.6789, + "step": 16687 + }, + { + "epoch": 0.39, + "grad_norm": 1.5571493009979298, + "learning_rate": 1.3844803497648382e-05, + "loss": 0.8679, + "step": 16688 + }, + { + "epoch": 0.39, + "grad_norm": 1.8829769971819026, + "learning_rate": 1.384409909793879e-05, + "loss": 0.8638, + "step": 16689 + }, + { + "epoch": 0.39, + "grad_norm": 1.5471315579994334, + "learning_rate": 1.3843394675847635e-05, + "loss": 0.9078, + "step": 16690 + }, + { + "epoch": 0.39, + "grad_norm": 0.7809159656274329, + "learning_rate": 1.3842690231379014e-05, + "loss": 0.7343, + "step": 16691 + }, + { + "epoch": 0.39, + "grad_norm": 0.7302131320726717, + "learning_rate": 1.384198576453704e-05, + "loss": 0.7724, + "step": 16692 + }, + { + "epoch": 0.39, + "grad_norm": 1.549923003123743, + "learning_rate": 1.3841281275325807e-05, + "loss": 0.767, + "step": 16693 + }, + { + "epoch": 0.39, + "grad_norm": 1.6315687335049749, + "learning_rate": 1.3840576763749419e-05, + "loss": 0.9613, + "step": 16694 + }, + { + "epoch": 0.39, + "grad_norm": 1.6778429451985968, + "learning_rate": 1.3839872229811974e-05, + "loss": 0.9003, + "step": 16695 + }, + { + "epoch": 0.39, + "grad_norm": 0.763951862682191, + "learning_rate": 1.3839167673517582e-05, + "loss": 0.7258, + "step": 16696 + }, + { + "epoch": 0.39, + "grad_norm": 1.4934885736115153, + "learning_rate": 1.3838463094870338e-05, + "loss": 0.9463, + "step": 16697 + }, + { + "epoch": 0.39, + "grad_norm": 1.6076734013521745, + "learning_rate": 1.3837758493874347e-05, + "loss": 0.9601, + "step": 16698 + }, + { + "epoch": 0.39, + "grad_norm": 1.5586327026984739, + "learning_rate": 1.383705387053371e-05, + "loss": 0.7763, + "step": 16699 + }, + { + "epoch": 0.39, + "grad_norm": 1.724846321173294, + "learning_rate": 1.383634922485253e-05, + "loss": 0.9132, + "step": 16700 + }, + { + "epoch": 0.39, + "grad_norm": 1.9358535985883036, + "learning_rate": 1.3835644556834913e-05, + "loss": 0.8309, + "step": 16701 + }, + { + "epoch": 0.39, + "grad_norm": 1.595194627667604, + "learning_rate": 1.3834939866484956e-05, + "loss": 0.9605, + "step": 16702 + }, + { + "epoch": 0.39, + "grad_norm": 1.6864316638160752, + "learning_rate": 1.3834235153806766e-05, + "loss": 0.8115, + "step": 16703 + }, + { + "epoch": 0.39, + "grad_norm": 1.696552238163376, + "learning_rate": 1.3833530418804446e-05, + "loss": 0.7974, + "step": 16704 + }, + { + "epoch": 0.39, + "grad_norm": 1.7675960629597558, + "learning_rate": 1.3832825661482097e-05, + "loss": 0.8566, + "step": 16705 + }, + { + "epoch": 0.39, + "grad_norm": 1.6467499155417182, + "learning_rate": 1.3832120881843825e-05, + "loss": 0.8861, + "step": 16706 + }, + { + "epoch": 0.39, + "grad_norm": 1.6373609692647595, + "learning_rate": 1.383141607989373e-05, + "loss": 0.9801, + "step": 16707 + }, + { + "epoch": 0.39, + "grad_norm": 2.1982344843474424, + "learning_rate": 1.3830711255635919e-05, + "loss": 0.9558, + "step": 16708 + }, + { + "epoch": 0.39, + "grad_norm": 1.7487158981852626, + "learning_rate": 1.3830006409074495e-05, + "loss": 0.9093, + "step": 16709 + }, + { + "epoch": 0.39, + "grad_norm": 1.8295452879639957, + "learning_rate": 1.3829301540213557e-05, + "loss": 0.8558, + "step": 16710 + }, + { + "epoch": 0.39, + "grad_norm": 5.070053159918095, + "learning_rate": 1.382859664905722e-05, + "loss": 0.7949, + "step": 16711 + }, + { + "epoch": 0.39, + "grad_norm": 1.5597386591404685, + "learning_rate": 1.3827891735609575e-05, + "loss": 0.7723, + "step": 16712 + }, + { + "epoch": 0.39, + "grad_norm": 0.7225858525593543, + "learning_rate": 1.3827186799874737e-05, + "loss": 0.69, + "step": 16713 + }, + { + "epoch": 0.39, + "grad_norm": 1.5859985544793027, + "learning_rate": 1.3826481841856802e-05, + "loss": 0.9411, + "step": 16714 + }, + { + "epoch": 0.39, + "grad_norm": 1.505061276055601, + "learning_rate": 1.382577686155988e-05, + "loss": 0.9604, + "step": 16715 + }, + { + "epoch": 0.39, + "grad_norm": 1.8252222628170236, + "learning_rate": 1.3825071858988073e-05, + "loss": 0.8056, + "step": 16716 + }, + { + "epoch": 0.39, + "grad_norm": 1.6917828529209944, + "learning_rate": 1.3824366834145488e-05, + "loss": 0.9343, + "step": 16717 + }, + { + "epoch": 0.39, + "grad_norm": 1.5058038020169233, + "learning_rate": 1.382366178703623e-05, + "loss": 0.8803, + "step": 16718 + }, + { + "epoch": 0.39, + "grad_norm": 2.6007072499423387, + "learning_rate": 1.38229567176644e-05, + "loss": 0.8307, + "step": 16719 + }, + { + "epoch": 0.39, + "grad_norm": 2.102044084418658, + "learning_rate": 1.3822251626034105e-05, + "loss": 0.861, + "step": 16720 + }, + { + "epoch": 0.39, + "grad_norm": 1.576531578269107, + "learning_rate": 1.3821546512149453e-05, + "loss": 0.9421, + "step": 16721 + }, + { + "epoch": 0.39, + "grad_norm": 2.187319639659638, + "learning_rate": 1.3820841376014546e-05, + "loss": 0.9533, + "step": 16722 + }, + { + "epoch": 0.39, + "grad_norm": 1.4873940836401762, + "learning_rate": 1.3820136217633491e-05, + "loss": 0.8278, + "step": 16723 + }, + { + "epoch": 0.39, + "grad_norm": 1.7123872818942518, + "learning_rate": 1.3819431037010393e-05, + "loss": 0.8505, + "step": 16724 + }, + { + "epoch": 0.39, + "grad_norm": 1.7919505938404956, + "learning_rate": 1.381872583414936e-05, + "loss": 0.8603, + "step": 16725 + }, + { + "epoch": 0.39, + "grad_norm": 1.674094608916325, + "learning_rate": 1.3818020609054494e-05, + "loss": 0.766, + "step": 16726 + }, + { + "epoch": 0.39, + "grad_norm": 2.0372536174911184, + "learning_rate": 1.3817315361729904e-05, + "loss": 0.7829, + "step": 16727 + }, + { + "epoch": 0.39, + "grad_norm": 1.7513915445882458, + "learning_rate": 1.3816610092179697e-05, + "loss": 0.8803, + "step": 16728 + }, + { + "epoch": 0.39, + "grad_norm": 1.882362402876238, + "learning_rate": 1.3815904800407975e-05, + "loss": 1.1005, + "step": 16729 + }, + { + "epoch": 0.39, + "grad_norm": 1.3729988949874248, + "learning_rate": 1.3815199486418851e-05, + "loss": 0.8819, + "step": 16730 + }, + { + "epoch": 0.39, + "grad_norm": 1.61839866300888, + "learning_rate": 1.3814494150216424e-05, + "loss": 1.0069, + "step": 16731 + }, + { + "epoch": 0.39, + "grad_norm": 1.2997010492067784, + "learning_rate": 1.3813788791804807e-05, + "loss": 0.7708, + "step": 16732 + }, + { + "epoch": 0.39, + "grad_norm": 1.7385059477674174, + "learning_rate": 1.3813083411188104e-05, + "loss": 1.0556, + "step": 16733 + }, + { + "epoch": 0.39, + "grad_norm": 2.4982592479938055, + "learning_rate": 1.3812378008370422e-05, + "loss": 0.7905, + "step": 16734 + }, + { + "epoch": 0.39, + "grad_norm": 1.5822434163876424, + "learning_rate": 1.3811672583355864e-05, + "loss": 0.8936, + "step": 16735 + }, + { + "epoch": 0.39, + "grad_norm": 1.7151423536762336, + "learning_rate": 1.3810967136148547e-05, + "loss": 0.8658, + "step": 16736 + }, + { + "epoch": 0.39, + "grad_norm": 2.365901781491196, + "learning_rate": 1.3810261666752571e-05, + "loss": 1.0127, + "step": 16737 + }, + { + "epoch": 0.39, + "grad_norm": 1.6201737888280543, + "learning_rate": 1.3809556175172043e-05, + "loss": 0.9443, + "step": 16738 + }, + { + "epoch": 0.39, + "grad_norm": 2.974551686096892, + "learning_rate": 1.3808850661411077e-05, + "loss": 0.9322, + "step": 16739 + }, + { + "epoch": 0.39, + "grad_norm": 1.5865759359475837, + "learning_rate": 1.3808145125473773e-05, + "loss": 0.9217, + "step": 16740 + }, + { + "epoch": 0.39, + "grad_norm": 1.8057480045842949, + "learning_rate": 1.3807439567364246e-05, + "loss": 0.9709, + "step": 16741 + }, + { + "epoch": 0.39, + "grad_norm": 2.368817599007845, + "learning_rate": 1.3806733987086597e-05, + "loss": 0.9576, + "step": 16742 + }, + { + "epoch": 0.39, + "grad_norm": 1.5502652755088597, + "learning_rate": 1.380602838464494e-05, + "loss": 0.8448, + "step": 16743 + }, + { + "epoch": 0.39, + "grad_norm": 1.620829645978544, + "learning_rate": 1.3805322760043378e-05, + "loss": 0.9396, + "step": 16744 + }, + { + "epoch": 0.39, + "grad_norm": 1.6812562391565475, + "learning_rate": 1.3804617113286027e-05, + "loss": 0.912, + "step": 16745 + }, + { + "epoch": 0.39, + "grad_norm": 0.8029704350683686, + "learning_rate": 1.3803911444376984e-05, + "loss": 0.7171, + "step": 16746 + }, + { + "epoch": 0.39, + "grad_norm": 1.6421827481914641, + "learning_rate": 1.380320575332037e-05, + "loss": 0.8496, + "step": 16747 + }, + { + "epoch": 0.39, + "grad_norm": 2.0722361923291786, + "learning_rate": 1.3802500040120285e-05, + "loss": 0.8752, + "step": 16748 + }, + { + "epoch": 0.39, + "grad_norm": 2.0826551485596467, + "learning_rate": 1.3801794304780843e-05, + "loss": 0.8199, + "step": 16749 + }, + { + "epoch": 0.39, + "grad_norm": 1.4683542902297873, + "learning_rate": 1.3801088547306149e-05, + "loss": 0.9369, + "step": 16750 + }, + { + "epoch": 0.39, + "grad_norm": 1.5525132326366884, + "learning_rate": 1.3800382767700316e-05, + "loss": 0.9408, + "step": 16751 + }, + { + "epoch": 0.39, + "grad_norm": 1.660026159939657, + "learning_rate": 1.3799676965967451e-05, + "loss": 0.978, + "step": 16752 + }, + { + "epoch": 0.39, + "grad_norm": 1.5083984244677064, + "learning_rate": 1.3798971142111661e-05, + "loss": 0.9105, + "step": 16753 + }, + { + "epoch": 0.39, + "grad_norm": 1.397771737474787, + "learning_rate": 1.379826529613706e-05, + "loss": 0.7984, + "step": 16754 + }, + { + "epoch": 0.39, + "grad_norm": 1.6455302506305072, + "learning_rate": 1.3797559428047755e-05, + "loss": 0.9048, + "step": 16755 + }, + { + "epoch": 0.39, + "grad_norm": 1.536379101542752, + "learning_rate": 1.3796853537847859e-05, + "loss": 0.8894, + "step": 16756 + }, + { + "epoch": 0.39, + "grad_norm": 1.6257358096781038, + "learning_rate": 1.3796147625541479e-05, + "loss": 0.8347, + "step": 16757 + }, + { + "epoch": 0.39, + "grad_norm": 2.3870783664936104, + "learning_rate": 1.3795441691132726e-05, + "loss": 0.907, + "step": 16758 + }, + { + "epoch": 0.39, + "grad_norm": 1.5914581389468414, + "learning_rate": 1.3794735734625708e-05, + "loss": 0.7909, + "step": 16759 + }, + { + "epoch": 0.39, + "grad_norm": 1.5361529338997253, + "learning_rate": 1.3794029756024536e-05, + "loss": 1.0031, + "step": 16760 + }, + { + "epoch": 0.39, + "grad_norm": 1.4804192638516855, + "learning_rate": 1.3793323755333323e-05, + "loss": 0.8828, + "step": 16761 + }, + { + "epoch": 0.39, + "grad_norm": 1.7032020479750605, + "learning_rate": 1.3792617732556182e-05, + "loss": 0.8987, + "step": 16762 + }, + { + "epoch": 0.39, + "grad_norm": 1.6397620917375262, + "learning_rate": 1.3791911687697215e-05, + "loss": 0.868, + "step": 16763 + }, + { + "epoch": 0.39, + "grad_norm": 0.7454785728563881, + "learning_rate": 1.3791205620760541e-05, + "loss": 0.7608, + "step": 16764 + }, + { + "epoch": 0.39, + "grad_norm": 1.8163613804311545, + "learning_rate": 1.3790499531750262e-05, + "loss": 0.9519, + "step": 16765 + }, + { + "epoch": 0.39, + "grad_norm": 1.6644186502550582, + "learning_rate": 1.3789793420670503e-05, + "loss": 0.7483, + "step": 16766 + }, + { + "epoch": 0.4, + "grad_norm": 2.0238819264669465, + "learning_rate": 1.378908728752536e-05, + "loss": 0.9144, + "step": 16767 + }, + { + "epoch": 0.4, + "grad_norm": 1.8056274266766086, + "learning_rate": 1.3788381132318955e-05, + "loss": 0.9126, + "step": 16768 + }, + { + "epoch": 0.4, + "grad_norm": 1.822825537315009, + "learning_rate": 1.3787674955055395e-05, + "loss": 0.7992, + "step": 16769 + }, + { + "epoch": 0.4, + "grad_norm": 1.4736860208309435, + "learning_rate": 1.3786968755738792e-05, + "loss": 0.8445, + "step": 16770 + }, + { + "epoch": 0.4, + "grad_norm": 1.8246872666446874, + "learning_rate": 1.3786262534373256e-05, + "loss": 0.8592, + "step": 16771 + }, + { + "epoch": 0.4, + "grad_norm": 1.9281635626747842, + "learning_rate": 1.3785556290962902e-05, + "loss": 0.8434, + "step": 16772 + }, + { + "epoch": 0.4, + "grad_norm": 1.8052381676297609, + "learning_rate": 1.3784850025511842e-05, + "loss": 0.9073, + "step": 16773 + }, + { + "epoch": 0.4, + "grad_norm": 1.7012200750228699, + "learning_rate": 1.3784143738024188e-05, + "loss": 0.8441, + "step": 16774 + }, + { + "epoch": 0.4, + "grad_norm": 1.4405248941865267, + "learning_rate": 1.3783437428504048e-05, + "loss": 0.9167, + "step": 16775 + }, + { + "epoch": 0.4, + "grad_norm": 1.8041768926638007, + "learning_rate": 1.3782731096955537e-05, + "loss": 0.8878, + "step": 16776 + }, + { + "epoch": 0.4, + "grad_norm": 1.6759591077685385, + "learning_rate": 1.378202474338277e-05, + "loss": 0.9986, + "step": 16777 + }, + { + "epoch": 0.4, + "grad_norm": 1.6173449660415742, + "learning_rate": 1.3781318367789858e-05, + "loss": 0.866, + "step": 16778 + }, + { + "epoch": 0.4, + "grad_norm": 1.6214379927862896, + "learning_rate": 1.3780611970180913e-05, + "loss": 0.8793, + "step": 16779 + }, + { + "epoch": 0.4, + "grad_norm": 1.958143399989008, + "learning_rate": 1.3779905550560047e-05, + "loss": 0.806, + "step": 16780 + }, + { + "epoch": 0.4, + "grad_norm": 1.9715080665383076, + "learning_rate": 1.3779199108931374e-05, + "loss": 0.786, + "step": 16781 + }, + { + "epoch": 0.4, + "grad_norm": 1.9455706860285071, + "learning_rate": 1.3778492645299008e-05, + "loss": 0.7269, + "step": 16782 + }, + { + "epoch": 0.4, + "grad_norm": 1.7150984847939617, + "learning_rate": 1.3777786159667063e-05, + "loss": 1.0032, + "step": 16783 + }, + { + "epoch": 0.4, + "grad_norm": 1.4892223227485588, + "learning_rate": 1.3777079652039649e-05, + "loss": 0.8524, + "step": 16784 + }, + { + "epoch": 0.4, + "grad_norm": 1.627990781758099, + "learning_rate": 1.3776373122420884e-05, + "loss": 0.8603, + "step": 16785 + }, + { + "epoch": 0.4, + "grad_norm": 1.4948164674361437, + "learning_rate": 1.3775666570814876e-05, + "loss": 0.7869, + "step": 16786 + }, + { + "epoch": 0.4, + "grad_norm": 0.7823090971100862, + "learning_rate": 1.3774959997225743e-05, + "loss": 0.7017, + "step": 16787 + }, + { + "epoch": 0.4, + "grad_norm": 1.4692911255122922, + "learning_rate": 1.3774253401657599e-05, + "loss": 0.8882, + "step": 16788 + }, + { + "epoch": 0.4, + "grad_norm": 1.570472897600453, + "learning_rate": 1.3773546784114556e-05, + "loss": 0.8566, + "step": 16789 + }, + { + "epoch": 0.4, + "grad_norm": 0.7326896341161027, + "learning_rate": 1.377284014460073e-05, + "loss": 0.6653, + "step": 16790 + }, + { + "epoch": 0.4, + "grad_norm": 1.7173674651396662, + "learning_rate": 1.3772133483120229e-05, + "loss": 0.8134, + "step": 16791 + }, + { + "epoch": 0.4, + "grad_norm": 4.607194098128238, + "learning_rate": 1.377142679967718e-05, + "loss": 0.9433, + "step": 16792 + }, + { + "epoch": 0.4, + "grad_norm": 1.6145379823922836, + "learning_rate": 1.3770720094275685e-05, + "loss": 0.8801, + "step": 16793 + }, + { + "epoch": 0.4, + "grad_norm": 1.5452366015078876, + "learning_rate": 1.3770013366919867e-05, + "loss": 0.8569, + "step": 16794 + }, + { + "epoch": 0.4, + "grad_norm": 1.6187486657299155, + "learning_rate": 1.3769306617613833e-05, + "loss": 0.9185, + "step": 16795 + }, + { + "epoch": 0.4, + "grad_norm": 0.7776151346916467, + "learning_rate": 1.3768599846361707e-05, + "loss": 0.7594, + "step": 16796 + }, + { + "epoch": 0.4, + "grad_norm": 2.0520733818186288, + "learning_rate": 1.37678930531676e-05, + "loss": 0.9388, + "step": 16797 + }, + { + "epoch": 0.4, + "grad_norm": 1.5327658514321343, + "learning_rate": 1.3767186238035624e-05, + "loss": 0.8104, + "step": 16798 + }, + { + "epoch": 0.4, + "grad_norm": 1.4922270378935332, + "learning_rate": 1.3766479400969899e-05, + "loss": 0.9427, + "step": 16799 + }, + { + "epoch": 0.4, + "grad_norm": 1.6994097315953718, + "learning_rate": 1.3765772541974536e-05, + "loss": 0.8253, + "step": 16800 + }, + { + "epoch": 0.4, + "grad_norm": 1.7956708168239752, + "learning_rate": 1.3765065661053654e-05, + "loss": 0.9476, + "step": 16801 + }, + { + "epoch": 0.4, + "grad_norm": 2.6230943057994076, + "learning_rate": 1.376435875821137e-05, + "loss": 0.8434, + "step": 16802 + }, + { + "epoch": 0.4, + "grad_norm": 2.5851117874328984, + "learning_rate": 1.3763651833451795e-05, + "loss": 0.9033, + "step": 16803 + }, + { + "epoch": 0.4, + "grad_norm": 1.6003975831950248, + "learning_rate": 1.3762944886779049e-05, + "loss": 0.8319, + "step": 16804 + }, + { + "epoch": 0.4, + "grad_norm": 1.5497869503782602, + "learning_rate": 1.3762237918197245e-05, + "loss": 0.9773, + "step": 16805 + }, + { + "epoch": 0.4, + "grad_norm": 1.7497758141843893, + "learning_rate": 1.37615309277105e-05, + "loss": 0.9517, + "step": 16806 + }, + { + "epoch": 0.4, + "grad_norm": 1.6788257487112452, + "learning_rate": 1.3760823915322934e-05, + "loss": 0.8073, + "step": 16807 + }, + { + "epoch": 0.4, + "grad_norm": 1.8720571299396223, + "learning_rate": 1.3760116881038658e-05, + "loss": 0.8386, + "step": 16808 + }, + { + "epoch": 0.4, + "grad_norm": 1.488634969823904, + "learning_rate": 1.375940982486179e-05, + "loss": 0.9026, + "step": 16809 + }, + { + "epoch": 0.4, + "grad_norm": 1.9670147310512804, + "learning_rate": 1.3758702746796454e-05, + "loss": 0.8935, + "step": 16810 + }, + { + "epoch": 0.4, + "grad_norm": 1.4552846814764215, + "learning_rate": 1.3757995646846755e-05, + "loss": 0.8753, + "step": 16811 + }, + { + "epoch": 0.4, + "grad_norm": 1.5985265174814127, + "learning_rate": 1.3757288525016816e-05, + "loss": 1.0018, + "step": 16812 + }, + { + "epoch": 0.4, + "grad_norm": 1.5327611866386088, + "learning_rate": 1.375658138131076e-05, + "loss": 0.7937, + "step": 16813 + }, + { + "epoch": 0.4, + "grad_norm": 1.7881294563854275, + "learning_rate": 1.3755874215732687e-05, + "loss": 0.8678, + "step": 16814 + }, + { + "epoch": 0.4, + "grad_norm": 1.4096385452820575, + "learning_rate": 1.3755167028286733e-05, + "loss": 0.8225, + "step": 16815 + }, + { + "epoch": 0.4, + "grad_norm": 1.6899992608585976, + "learning_rate": 1.3754459818977007e-05, + "loss": 0.9093, + "step": 16816 + }, + { + "epoch": 0.4, + "grad_norm": 2.1188191021504714, + "learning_rate": 1.3753752587807627e-05, + "loss": 0.9347, + "step": 16817 + }, + { + "epoch": 0.4, + "grad_norm": 0.8462792420158624, + "learning_rate": 1.3753045334782707e-05, + "loss": 0.7773, + "step": 16818 + }, + { + "epoch": 0.4, + "grad_norm": 1.635231291817316, + "learning_rate": 1.3752338059906374e-05, + "loss": 0.991, + "step": 16819 + }, + { + "epoch": 0.4, + "grad_norm": 1.5563095138784249, + "learning_rate": 1.3751630763182738e-05, + "loss": 0.9098, + "step": 16820 + }, + { + "epoch": 0.4, + "grad_norm": 1.4691698577834227, + "learning_rate": 1.375092344461592e-05, + "loss": 0.8383, + "step": 16821 + }, + { + "epoch": 0.4, + "grad_norm": 1.5887776029118144, + "learning_rate": 1.375021610421004e-05, + "loss": 0.7417, + "step": 16822 + }, + { + "epoch": 0.4, + "grad_norm": 2.099455899115646, + "learning_rate": 1.3749508741969213e-05, + "loss": 0.9893, + "step": 16823 + }, + { + "epoch": 0.4, + "grad_norm": 1.538300348864719, + "learning_rate": 1.3748801357897559e-05, + "loss": 0.8713, + "step": 16824 + }, + { + "epoch": 0.4, + "grad_norm": 1.5750615111293094, + "learning_rate": 1.3748093951999195e-05, + "loss": 0.9623, + "step": 16825 + }, + { + "epoch": 0.4, + "grad_norm": 1.4950794769448588, + "learning_rate": 1.3747386524278246e-05, + "loss": 0.9471, + "step": 16826 + }, + { + "epoch": 0.4, + "grad_norm": 1.5769748086176174, + "learning_rate": 1.3746679074738822e-05, + "loss": 0.8618, + "step": 16827 + }, + { + "epoch": 0.4, + "grad_norm": 1.768307538726499, + "learning_rate": 1.3745971603385049e-05, + "loss": 0.9482, + "step": 16828 + }, + { + "epoch": 0.4, + "grad_norm": 1.7728481836836787, + "learning_rate": 1.3745264110221042e-05, + "loss": 0.8294, + "step": 16829 + }, + { + "epoch": 0.4, + "grad_norm": 2.3209352975482638, + "learning_rate": 1.3744556595250922e-05, + "loss": 1.0096, + "step": 16830 + }, + { + "epoch": 0.4, + "grad_norm": 2.096180847967985, + "learning_rate": 1.3743849058478809e-05, + "loss": 0.9251, + "step": 16831 + }, + { + "epoch": 0.4, + "grad_norm": 1.5547212057055688, + "learning_rate": 1.374314149990882e-05, + "loss": 0.8905, + "step": 16832 + }, + { + "epoch": 0.4, + "grad_norm": 2.1737032624556285, + "learning_rate": 1.3742433919545076e-05, + "loss": 0.9503, + "step": 16833 + }, + { + "epoch": 0.4, + "grad_norm": 1.6424727790233369, + "learning_rate": 1.3741726317391699e-05, + "loss": 0.9723, + "step": 16834 + }, + { + "epoch": 0.4, + "grad_norm": 1.514811228559017, + "learning_rate": 1.3741018693452803e-05, + "loss": 0.9657, + "step": 16835 + }, + { + "epoch": 0.4, + "grad_norm": 2.086967617046384, + "learning_rate": 1.3740311047732514e-05, + "loss": 0.9219, + "step": 16836 + }, + { + "epoch": 0.4, + "grad_norm": 1.6203920950195114, + "learning_rate": 1.373960338023495e-05, + "loss": 0.9563, + "step": 16837 + }, + { + "epoch": 0.4, + "grad_norm": 1.678636855422969, + "learning_rate": 1.3738895690964231e-05, + "loss": 0.9199, + "step": 16838 + }, + { + "epoch": 0.4, + "grad_norm": 1.6637141966522502, + "learning_rate": 1.3738187979924478e-05, + "loss": 0.8443, + "step": 16839 + }, + { + "epoch": 0.4, + "grad_norm": 2.2449248881600457, + "learning_rate": 1.373748024711981e-05, + "loss": 0.9195, + "step": 16840 + }, + { + "epoch": 0.4, + "grad_norm": 1.4974151958720239, + "learning_rate": 1.3736772492554352e-05, + "loss": 0.895, + "step": 16841 + }, + { + "epoch": 0.4, + "grad_norm": 1.6693174748602297, + "learning_rate": 1.3736064716232216e-05, + "loss": 0.7788, + "step": 16842 + }, + { + "epoch": 0.4, + "grad_norm": 1.5689544672540425, + "learning_rate": 1.3735356918157532e-05, + "loss": 0.8638, + "step": 16843 + }, + { + "epoch": 0.4, + "grad_norm": 0.7458345894190854, + "learning_rate": 1.3734649098334416e-05, + "loss": 0.6818, + "step": 16844 + }, + { + "epoch": 0.4, + "grad_norm": 1.507758758776517, + "learning_rate": 1.3733941256766994e-05, + "loss": 0.8666, + "step": 16845 + }, + { + "epoch": 0.4, + "grad_norm": 1.9034638871202811, + "learning_rate": 1.3733233393459377e-05, + "loss": 0.9067, + "step": 16846 + }, + { + "epoch": 0.4, + "grad_norm": 1.7010473143364642, + "learning_rate": 1.3732525508415702e-05, + "loss": 0.8347, + "step": 16847 + }, + { + "epoch": 0.4, + "grad_norm": 1.4535886842852515, + "learning_rate": 1.3731817601640077e-05, + "loss": 0.9104, + "step": 16848 + }, + { + "epoch": 0.4, + "grad_norm": 1.685200894184952, + "learning_rate": 1.3731109673136627e-05, + "loss": 0.8032, + "step": 16849 + }, + { + "epoch": 0.4, + "grad_norm": 1.521722342128095, + "learning_rate": 1.3730401722909479e-05, + "loss": 0.8814, + "step": 16850 + }, + { + "epoch": 0.4, + "grad_norm": 2.093166255931981, + "learning_rate": 1.3729693750962747e-05, + "loss": 0.8596, + "step": 16851 + }, + { + "epoch": 0.4, + "grad_norm": 1.5817845877993668, + "learning_rate": 1.372898575730056e-05, + "loss": 0.9443, + "step": 16852 + }, + { + "epoch": 0.4, + "grad_norm": 1.5418239975371604, + "learning_rate": 1.3728277741927037e-05, + "loss": 0.9433, + "step": 16853 + }, + { + "epoch": 0.4, + "grad_norm": 1.653122424027356, + "learning_rate": 1.37275697048463e-05, + "loss": 0.8264, + "step": 16854 + }, + { + "epoch": 0.4, + "grad_norm": 1.4431054472813243, + "learning_rate": 1.3726861646062472e-05, + "loss": 0.8929, + "step": 16855 + }, + { + "epoch": 0.4, + "grad_norm": 1.7335017515005495, + "learning_rate": 1.3726153565579676e-05, + "loss": 0.8352, + "step": 16856 + }, + { + "epoch": 0.4, + "grad_norm": 1.6640573610328016, + "learning_rate": 1.3725445463402034e-05, + "loss": 0.8721, + "step": 16857 + }, + { + "epoch": 0.4, + "grad_norm": 1.9066826553082385, + "learning_rate": 1.3724737339533669e-05, + "loss": 0.9302, + "step": 16858 + }, + { + "epoch": 0.4, + "grad_norm": 1.7476220069619672, + "learning_rate": 1.3724029193978706e-05, + "loss": 0.8289, + "step": 16859 + }, + { + "epoch": 0.4, + "grad_norm": 1.5582095536061789, + "learning_rate": 1.3723321026741262e-05, + "loss": 0.7271, + "step": 16860 + }, + { + "epoch": 0.4, + "grad_norm": 1.6452241767388864, + "learning_rate": 1.3722612837825466e-05, + "loss": 0.8777, + "step": 16861 + }, + { + "epoch": 0.4, + "grad_norm": 1.9349054957428975, + "learning_rate": 1.3721904627235444e-05, + "loss": 0.89, + "step": 16862 + }, + { + "epoch": 0.4, + "grad_norm": 1.6796415177659147, + "learning_rate": 1.3721196394975306e-05, + "loss": 0.8335, + "step": 16863 + }, + { + "epoch": 0.4, + "grad_norm": 1.6154515468248198, + "learning_rate": 1.3720488141049193e-05, + "loss": 1.0036, + "step": 16864 + }, + { + "epoch": 0.4, + "grad_norm": 2.284673880239047, + "learning_rate": 1.3719779865461214e-05, + "loss": 0.8039, + "step": 16865 + }, + { + "epoch": 0.4, + "grad_norm": 1.453023474141124, + "learning_rate": 1.3719071568215503e-05, + "loss": 0.9346, + "step": 16866 + }, + { + "epoch": 0.4, + "grad_norm": 0.7733966637760589, + "learning_rate": 1.3718363249316179e-05, + "loss": 0.7718, + "step": 16867 + }, + { + "epoch": 0.4, + "grad_norm": 1.893187671067565, + "learning_rate": 1.3717654908767366e-05, + "loss": 0.8319, + "step": 16868 + }, + { + "epoch": 0.4, + "grad_norm": 1.5278338017488475, + "learning_rate": 1.3716946546573186e-05, + "loss": 0.8904, + "step": 16869 + }, + { + "epoch": 0.4, + "grad_norm": 1.5741526558986176, + "learning_rate": 1.3716238162737772e-05, + "loss": 0.8857, + "step": 16870 + }, + { + "epoch": 0.4, + "grad_norm": 1.5578083355839534, + "learning_rate": 1.3715529757265243e-05, + "loss": 0.7951, + "step": 16871 + }, + { + "epoch": 0.4, + "grad_norm": 1.472633149481425, + "learning_rate": 1.371482133015972e-05, + "loss": 0.8639, + "step": 16872 + }, + { + "epoch": 0.4, + "grad_norm": 1.5828728980170408, + "learning_rate": 1.3714112881425332e-05, + "loss": 0.8461, + "step": 16873 + }, + { + "epoch": 0.4, + "grad_norm": 1.9925730802532537, + "learning_rate": 1.3713404411066203e-05, + "loss": 0.7834, + "step": 16874 + }, + { + "epoch": 0.4, + "grad_norm": 2.033060640987292, + "learning_rate": 1.3712695919086458e-05, + "loss": 0.9902, + "step": 16875 + }, + { + "epoch": 0.4, + "grad_norm": 1.4790553680718992, + "learning_rate": 1.371198740549022e-05, + "loss": 0.9561, + "step": 16876 + }, + { + "epoch": 0.4, + "grad_norm": 2.515732514971738, + "learning_rate": 1.3711278870281622e-05, + "loss": 0.896, + "step": 16877 + }, + { + "epoch": 0.4, + "grad_norm": 1.3886302185039396, + "learning_rate": 1.3710570313464778e-05, + "loss": 0.8804, + "step": 16878 + }, + { + "epoch": 0.4, + "grad_norm": 1.7445486430377832, + "learning_rate": 1.3709861735043818e-05, + "loss": 0.7152, + "step": 16879 + }, + { + "epoch": 0.4, + "grad_norm": 0.7703454018675224, + "learning_rate": 1.3709153135022873e-05, + "loss": 0.703, + "step": 16880 + }, + { + "epoch": 0.4, + "grad_norm": 1.954027718575454, + "learning_rate": 1.3708444513406062e-05, + "loss": 0.8553, + "step": 16881 + }, + { + "epoch": 0.4, + "grad_norm": 1.622103214952932, + "learning_rate": 1.3707735870197514e-05, + "loss": 0.9094, + "step": 16882 + }, + { + "epoch": 0.4, + "grad_norm": 1.44924632678647, + "learning_rate": 1.3707027205401353e-05, + "loss": 0.9546, + "step": 16883 + }, + { + "epoch": 0.4, + "grad_norm": 1.6473085604180453, + "learning_rate": 1.3706318519021704e-05, + "loss": 0.8729, + "step": 16884 + }, + { + "epoch": 0.4, + "grad_norm": 0.8190613202843671, + "learning_rate": 1.37056098110627e-05, + "loss": 0.7573, + "step": 16885 + }, + { + "epoch": 0.4, + "grad_norm": 3.0580368705814203, + "learning_rate": 1.3704901081528457e-05, + "loss": 0.8885, + "step": 16886 + }, + { + "epoch": 0.4, + "grad_norm": 5.2928461822851425, + "learning_rate": 1.3704192330423109e-05, + "loss": 0.8389, + "step": 16887 + }, + { + "epoch": 0.4, + "grad_norm": 1.6533871761172678, + "learning_rate": 1.3703483557750783e-05, + "loss": 0.8651, + "step": 16888 + }, + { + "epoch": 0.4, + "grad_norm": 1.612208534037318, + "learning_rate": 1.3702774763515601e-05, + "loss": 0.8893, + "step": 16889 + }, + { + "epoch": 0.4, + "grad_norm": 1.5761924578192528, + "learning_rate": 1.3702065947721691e-05, + "loss": 0.8099, + "step": 16890 + }, + { + "epoch": 0.4, + "grad_norm": 1.456025172467882, + "learning_rate": 1.3701357110373184e-05, + "loss": 0.9533, + "step": 16891 + }, + { + "epoch": 0.4, + "grad_norm": 1.4618266891749763, + "learning_rate": 1.3700648251474204e-05, + "loss": 1.004, + "step": 16892 + }, + { + "epoch": 0.4, + "grad_norm": 1.44068584916304, + "learning_rate": 1.3699939371028873e-05, + "loss": 0.8128, + "step": 16893 + }, + { + "epoch": 0.4, + "grad_norm": 1.7095428030252056, + "learning_rate": 1.3699230469041331e-05, + "loss": 0.8709, + "step": 16894 + }, + { + "epoch": 0.4, + "grad_norm": 1.4680183052162377, + "learning_rate": 1.3698521545515693e-05, + "loss": 0.9812, + "step": 16895 + }, + { + "epoch": 0.4, + "grad_norm": 2.1643541772713597, + "learning_rate": 1.3697812600456094e-05, + "loss": 0.8048, + "step": 16896 + }, + { + "epoch": 0.4, + "grad_norm": 1.5662798171658636, + "learning_rate": 1.3697103633866657e-05, + "loss": 0.8093, + "step": 16897 + }, + { + "epoch": 0.4, + "grad_norm": 0.760156706681401, + "learning_rate": 1.3696394645751514e-05, + "loss": 0.7439, + "step": 16898 + }, + { + "epoch": 0.4, + "grad_norm": 1.7919167331711943, + "learning_rate": 1.369568563611479e-05, + "loss": 1.0114, + "step": 16899 + }, + { + "epoch": 0.4, + "grad_norm": 1.7068937087870293, + "learning_rate": 1.3694976604960615e-05, + "loss": 0.8155, + "step": 16900 + }, + { + "epoch": 0.4, + "grad_norm": 2.5310730440201716, + "learning_rate": 1.3694267552293117e-05, + "loss": 0.7785, + "step": 16901 + }, + { + "epoch": 0.4, + "grad_norm": 2.0635555716689753, + "learning_rate": 1.3693558478116425e-05, + "loss": 0.9986, + "step": 16902 + }, + { + "epoch": 0.4, + "grad_norm": 0.7654397460424313, + "learning_rate": 1.369284938243466e-05, + "loss": 0.7214, + "step": 16903 + }, + { + "epoch": 0.4, + "grad_norm": 1.7727699291564463, + "learning_rate": 1.3692140265251962e-05, + "loss": 0.8892, + "step": 16904 + }, + { + "epoch": 0.4, + "grad_norm": 1.9039732133622496, + "learning_rate": 1.3691431126572454e-05, + "loss": 0.8749, + "step": 16905 + }, + { + "epoch": 0.4, + "grad_norm": 1.542636615581762, + "learning_rate": 1.3690721966400264e-05, + "loss": 0.8857, + "step": 16906 + }, + { + "epoch": 0.4, + "grad_norm": 1.4202727082554838, + "learning_rate": 1.3690012784739524e-05, + "loss": 0.9437, + "step": 16907 + }, + { + "epoch": 0.4, + "grad_norm": 1.520016598059137, + "learning_rate": 1.368930358159436e-05, + "loss": 0.7842, + "step": 16908 + }, + { + "epoch": 0.4, + "grad_norm": 1.6381739446445382, + "learning_rate": 1.3688594356968903e-05, + "loss": 0.8569, + "step": 16909 + }, + { + "epoch": 0.4, + "grad_norm": 2.1529909061309325, + "learning_rate": 1.368788511086728e-05, + "loss": 0.7668, + "step": 16910 + }, + { + "epoch": 0.4, + "grad_norm": 1.6201108028563138, + "learning_rate": 1.3687175843293625e-05, + "loss": 0.8171, + "step": 16911 + }, + { + "epoch": 0.4, + "grad_norm": 2.259656824778582, + "learning_rate": 1.3686466554252062e-05, + "loss": 0.9471, + "step": 16912 + }, + { + "epoch": 0.4, + "grad_norm": 1.5637450356269107, + "learning_rate": 1.3685757243746728e-05, + "loss": 0.8804, + "step": 16913 + }, + { + "epoch": 0.4, + "grad_norm": 1.573278001473684, + "learning_rate": 1.3685047911781744e-05, + "loss": 0.9099, + "step": 16914 + }, + { + "epoch": 0.4, + "grad_norm": 2.188842506125727, + "learning_rate": 1.368433855836125e-05, + "loss": 0.9577, + "step": 16915 + }, + { + "epoch": 0.4, + "grad_norm": 0.7395444035585661, + "learning_rate": 1.3683629183489364e-05, + "loss": 0.7409, + "step": 16916 + }, + { + "epoch": 0.4, + "grad_norm": 1.697723129334704, + "learning_rate": 1.3682919787170228e-05, + "loss": 0.7646, + "step": 16917 + }, + { + "epoch": 0.4, + "grad_norm": 1.5504256548381814, + "learning_rate": 1.3682210369407961e-05, + "loss": 0.9068, + "step": 16918 + }, + { + "epoch": 0.4, + "grad_norm": 2.1835953805702837, + "learning_rate": 1.3681500930206707e-05, + "loss": 0.9381, + "step": 16919 + }, + { + "epoch": 0.4, + "grad_norm": 1.546877636769515, + "learning_rate": 1.3680791469570585e-05, + "loss": 0.9085, + "step": 16920 + }, + { + "epoch": 0.4, + "grad_norm": 1.8757257406036805, + "learning_rate": 1.3680081987503728e-05, + "loss": 0.8511, + "step": 16921 + }, + { + "epoch": 0.4, + "grad_norm": 1.805372790033491, + "learning_rate": 1.3679372484010269e-05, + "loss": 0.9902, + "step": 16922 + }, + { + "epoch": 0.4, + "grad_norm": 1.4876517313931261, + "learning_rate": 1.3678662959094338e-05, + "loss": 0.968, + "step": 16923 + }, + { + "epoch": 0.4, + "grad_norm": 1.8513156753168694, + "learning_rate": 1.3677953412760072e-05, + "loss": 0.9372, + "step": 16924 + }, + { + "epoch": 0.4, + "grad_norm": 1.6458630274290953, + "learning_rate": 1.3677243845011589e-05, + "loss": 0.8683, + "step": 16925 + }, + { + "epoch": 0.4, + "grad_norm": 1.4688680616333751, + "learning_rate": 1.3676534255853036e-05, + "loss": 0.8382, + "step": 16926 + }, + { + "epoch": 0.4, + "grad_norm": 1.4907595470468487, + "learning_rate": 1.3675824645288533e-05, + "loss": 0.8067, + "step": 16927 + }, + { + "epoch": 0.4, + "grad_norm": 0.7891608863811139, + "learning_rate": 1.3675115013322215e-05, + "loss": 0.7735, + "step": 16928 + }, + { + "epoch": 0.4, + "grad_norm": 0.805264313751026, + "learning_rate": 1.3674405359958214e-05, + "loss": 0.755, + "step": 16929 + }, + { + "epoch": 0.4, + "grad_norm": 1.9456918023156828, + "learning_rate": 1.367369568520066e-05, + "loss": 0.7988, + "step": 16930 + }, + { + "epoch": 0.4, + "grad_norm": 2.467627142691281, + "learning_rate": 1.367298598905369e-05, + "loss": 0.9433, + "step": 16931 + }, + { + "epoch": 0.4, + "grad_norm": 0.7326427298792053, + "learning_rate": 1.367227627152143e-05, + "loss": 0.7741, + "step": 16932 + }, + { + "epoch": 0.4, + "grad_norm": 1.708130012031855, + "learning_rate": 1.3671566532608015e-05, + "loss": 0.8038, + "step": 16933 + }, + { + "epoch": 0.4, + "grad_norm": 0.8330002935812018, + "learning_rate": 1.367085677231758e-05, + "loss": 0.7647, + "step": 16934 + }, + { + "epoch": 0.4, + "grad_norm": 2.4949544890313615, + "learning_rate": 1.3670146990654252e-05, + "loss": 0.8925, + "step": 16935 + }, + { + "epoch": 0.4, + "grad_norm": 1.9351972901414478, + "learning_rate": 1.3669437187622168e-05, + "loss": 0.9478, + "step": 16936 + }, + { + "epoch": 0.4, + "grad_norm": 1.6144662242652648, + "learning_rate": 1.3668727363225459e-05, + "loss": 0.9669, + "step": 16937 + }, + { + "epoch": 0.4, + "grad_norm": 1.8244982520518744, + "learning_rate": 1.3668017517468255e-05, + "loss": 0.8591, + "step": 16938 + }, + { + "epoch": 0.4, + "grad_norm": 1.6109831927575704, + "learning_rate": 1.3667307650354693e-05, + "loss": 1.0163, + "step": 16939 + }, + { + "epoch": 0.4, + "grad_norm": 1.4500928433377451, + "learning_rate": 1.3666597761888906e-05, + "loss": 0.9273, + "step": 16940 + }, + { + "epoch": 0.4, + "grad_norm": 1.525874480756064, + "learning_rate": 1.3665887852075026e-05, + "loss": 0.9042, + "step": 16941 + }, + { + "epoch": 0.4, + "grad_norm": 1.7362459816043334, + "learning_rate": 1.3665177920917185e-05, + "loss": 0.8547, + "step": 16942 + }, + { + "epoch": 0.4, + "grad_norm": 1.9320239390167369, + "learning_rate": 1.3664467968419522e-05, + "loss": 0.7491, + "step": 16943 + }, + { + "epoch": 0.4, + "grad_norm": 1.413704136596176, + "learning_rate": 1.366375799458616e-05, + "loss": 0.8545, + "step": 16944 + }, + { + "epoch": 0.4, + "grad_norm": 1.6533813133311561, + "learning_rate": 1.3663047999421243e-05, + "loss": 0.9557, + "step": 16945 + }, + { + "epoch": 0.4, + "grad_norm": 1.9156502717493318, + "learning_rate": 1.36623379829289e-05, + "loss": 0.8579, + "step": 16946 + }, + { + "epoch": 0.4, + "grad_norm": 1.56775552755636, + "learning_rate": 1.3661627945113268e-05, + "loss": 1.0426, + "step": 16947 + }, + { + "epoch": 0.4, + "grad_norm": 1.6409419465489732, + "learning_rate": 1.3660917885978473e-05, + "loss": 0.933, + "step": 16948 + }, + { + "epoch": 0.4, + "grad_norm": 1.6579287780527463, + "learning_rate": 1.366020780552866e-05, + "loss": 0.8557, + "step": 16949 + }, + { + "epoch": 0.4, + "grad_norm": 1.882955556038465, + "learning_rate": 1.3659497703767957e-05, + "loss": 0.8733, + "step": 16950 + }, + { + "epoch": 0.4, + "grad_norm": 1.6686625045727765, + "learning_rate": 1.36587875807005e-05, + "loss": 0.9033, + "step": 16951 + }, + { + "epoch": 0.4, + "grad_norm": 1.5373498922981998, + "learning_rate": 1.3658077436330421e-05, + "loss": 0.8227, + "step": 16952 + }, + { + "epoch": 0.4, + "grad_norm": 1.4099766133155394, + "learning_rate": 1.365736727066186e-05, + "loss": 0.7571, + "step": 16953 + }, + { + "epoch": 0.4, + "grad_norm": 2.3138680665986615, + "learning_rate": 1.3656657083698947e-05, + "loss": 0.8335, + "step": 16954 + }, + { + "epoch": 0.4, + "grad_norm": 1.7982996010692565, + "learning_rate": 1.365594687544582e-05, + "loss": 0.871, + "step": 16955 + }, + { + "epoch": 0.4, + "grad_norm": 1.7526097735775497, + "learning_rate": 1.3655236645906613e-05, + "loss": 0.9526, + "step": 16956 + }, + { + "epoch": 0.4, + "grad_norm": 1.7201047648807188, + "learning_rate": 1.3654526395085461e-05, + "loss": 0.808, + "step": 16957 + }, + { + "epoch": 0.4, + "grad_norm": 1.7061627585229828, + "learning_rate": 1.3653816122986499e-05, + "loss": 0.996, + "step": 16958 + }, + { + "epoch": 0.4, + "grad_norm": 1.5551173081252077, + "learning_rate": 1.3653105829613862e-05, + "loss": 0.8541, + "step": 16959 + }, + { + "epoch": 0.4, + "grad_norm": 1.657177786742928, + "learning_rate": 1.3652395514971686e-05, + "loss": 0.9228, + "step": 16960 + }, + { + "epoch": 0.4, + "grad_norm": 2.390811473771705, + "learning_rate": 1.365168517906411e-05, + "loss": 0.8738, + "step": 16961 + }, + { + "epoch": 0.4, + "grad_norm": 1.6251577742710552, + "learning_rate": 1.3650974821895262e-05, + "loss": 0.9773, + "step": 16962 + }, + { + "epoch": 0.4, + "grad_norm": 1.4345758475860027, + "learning_rate": 1.3650264443469285e-05, + "loss": 0.8346, + "step": 16963 + }, + { + "epoch": 0.4, + "grad_norm": 1.8977104406337482, + "learning_rate": 1.3649554043790316e-05, + "loss": 0.9425, + "step": 16964 + }, + { + "epoch": 0.4, + "grad_norm": 1.6393816071869527, + "learning_rate": 1.3648843622862483e-05, + "loss": 0.915, + "step": 16965 + }, + { + "epoch": 0.4, + "grad_norm": 1.913246506222284, + "learning_rate": 1.3648133180689932e-05, + "loss": 0.9325, + "step": 16966 + }, + { + "epoch": 0.4, + "grad_norm": 1.6686120971187424, + "learning_rate": 1.3647422717276788e-05, + "loss": 0.827, + "step": 16967 + }, + { + "epoch": 0.4, + "grad_norm": 1.8050992959716465, + "learning_rate": 1.3646712232627201e-05, + "loss": 0.9315, + "step": 16968 + }, + { + "epoch": 0.4, + "grad_norm": 1.4242000793675706, + "learning_rate": 1.3646001726745298e-05, + "loss": 0.9331, + "step": 16969 + }, + { + "epoch": 0.4, + "grad_norm": 1.713545071678637, + "learning_rate": 1.3645291199635218e-05, + "loss": 0.8276, + "step": 16970 + }, + { + "epoch": 0.4, + "grad_norm": 1.7406226805731904, + "learning_rate": 1.36445806513011e-05, + "loss": 0.9314, + "step": 16971 + }, + { + "epoch": 0.4, + "grad_norm": 1.5999137381768893, + "learning_rate": 1.3643870081747076e-05, + "loss": 0.776, + "step": 16972 + }, + { + "epoch": 0.4, + "grad_norm": 2.1746273159272813, + "learning_rate": 1.364315949097729e-05, + "loss": 0.798, + "step": 16973 + }, + { + "epoch": 0.4, + "grad_norm": 1.8467924940242648, + "learning_rate": 1.3642448878995876e-05, + "loss": 0.8669, + "step": 16974 + }, + { + "epoch": 0.4, + "grad_norm": 0.7928477524051942, + "learning_rate": 1.3641738245806973e-05, + "loss": 0.7839, + "step": 16975 + }, + { + "epoch": 0.4, + "grad_norm": 1.5237693052755479, + "learning_rate": 1.364102759141471e-05, + "loss": 0.8648, + "step": 16976 + }, + { + "epoch": 0.4, + "grad_norm": 1.693190476867517, + "learning_rate": 1.3640316915823242e-05, + "loss": 0.8873, + "step": 16977 + }, + { + "epoch": 0.4, + "grad_norm": 1.800084946398855, + "learning_rate": 1.363960621903669e-05, + "loss": 0.8809, + "step": 16978 + }, + { + "epoch": 0.4, + "grad_norm": 1.658784734268649, + "learning_rate": 1.36388955010592e-05, + "loss": 0.8748, + "step": 16979 + }, + { + "epoch": 0.4, + "grad_norm": 1.3859435708289711, + "learning_rate": 1.3638184761894907e-05, + "loss": 0.8148, + "step": 16980 + }, + { + "epoch": 0.4, + "grad_norm": 1.5247182191156883, + "learning_rate": 1.363747400154795e-05, + "loss": 0.9165, + "step": 16981 + }, + { + "epoch": 0.4, + "grad_norm": 0.7897948527815138, + "learning_rate": 1.3636763220022468e-05, + "loss": 0.7566, + "step": 16982 + }, + { + "epoch": 0.4, + "grad_norm": 1.5263334695846746, + "learning_rate": 1.3636052417322601e-05, + "loss": 0.9593, + "step": 16983 + }, + { + "epoch": 0.4, + "grad_norm": 2.1239172648196596, + "learning_rate": 1.3635341593452484e-05, + "loss": 0.8777, + "step": 16984 + }, + { + "epoch": 0.4, + "grad_norm": 4.066247192889507, + "learning_rate": 1.3634630748416257e-05, + "loss": 0.861, + "step": 16985 + }, + { + "epoch": 0.4, + "grad_norm": 1.7775006543157097, + "learning_rate": 1.3633919882218063e-05, + "loss": 0.9435, + "step": 16986 + }, + { + "epoch": 0.4, + "grad_norm": 1.6586947760408774, + "learning_rate": 1.3633208994862033e-05, + "loss": 0.8263, + "step": 16987 + }, + { + "epoch": 0.4, + "grad_norm": 1.8591559995597053, + "learning_rate": 1.363249808635231e-05, + "loss": 0.8459, + "step": 16988 + }, + { + "epoch": 0.4, + "grad_norm": 1.7958932869090836, + "learning_rate": 1.3631787156693035e-05, + "loss": 1.0085, + "step": 16989 + }, + { + "epoch": 0.4, + "grad_norm": 1.6208772801664448, + "learning_rate": 1.3631076205888344e-05, + "loss": 0.8445, + "step": 16990 + }, + { + "epoch": 0.4, + "grad_norm": 1.6076458355289518, + "learning_rate": 1.363036523394238e-05, + "loss": 1.0585, + "step": 16991 + }, + { + "epoch": 0.4, + "grad_norm": 1.6642981961021943, + "learning_rate": 1.3629654240859279e-05, + "loss": 0.9117, + "step": 16992 + }, + { + "epoch": 0.4, + "grad_norm": 0.7931631741517887, + "learning_rate": 1.362894322664318e-05, + "loss": 0.6957, + "step": 16993 + }, + { + "epoch": 0.4, + "grad_norm": 1.7871506881791672, + "learning_rate": 1.3628232191298227e-05, + "loss": 0.9181, + "step": 16994 + }, + { + "epoch": 0.4, + "grad_norm": 2.0121879727300613, + "learning_rate": 1.3627521134828553e-05, + "loss": 0.9184, + "step": 16995 + }, + { + "epoch": 0.4, + "grad_norm": 1.5663958462050964, + "learning_rate": 1.3626810057238311e-05, + "loss": 0.8755, + "step": 16996 + }, + { + "epoch": 0.4, + "grad_norm": 1.5656630405858614, + "learning_rate": 1.3626098958531624e-05, + "loss": 0.8427, + "step": 16997 + }, + { + "epoch": 0.4, + "grad_norm": 1.5183623827283617, + "learning_rate": 1.3625387838712647e-05, + "loss": 0.8637, + "step": 16998 + }, + { + "epoch": 0.4, + "grad_norm": 0.7502942770657695, + "learning_rate": 1.3624676697785511e-05, + "loss": 0.788, + "step": 16999 + }, + { + "epoch": 0.4, + "grad_norm": 2.0260424156206605, + "learning_rate": 1.3623965535754363e-05, + "loss": 0.877, + "step": 17000 + }, + { + "epoch": 0.4, + "grad_norm": 2.5349513558967836, + "learning_rate": 1.3623254352623336e-05, + "loss": 0.8552, + "step": 17001 + }, + { + "epoch": 0.4, + "grad_norm": 0.7661539925339853, + "learning_rate": 1.3622543148396577e-05, + "loss": 0.7555, + "step": 17002 + }, + { + "epoch": 0.4, + "grad_norm": 1.9002091805344792, + "learning_rate": 1.3621831923078224e-05, + "loss": 0.8733, + "step": 17003 + }, + { + "epoch": 0.4, + "grad_norm": 1.8205099327167447, + "learning_rate": 1.362112067667242e-05, + "loss": 0.8605, + "step": 17004 + }, + { + "epoch": 0.4, + "grad_norm": 1.6100977048154101, + "learning_rate": 1.3620409409183304e-05, + "loss": 0.984, + "step": 17005 + }, + { + "epoch": 0.4, + "grad_norm": 1.901016554358025, + "learning_rate": 1.3619698120615019e-05, + "loss": 0.8905, + "step": 17006 + }, + { + "epoch": 0.4, + "grad_norm": 1.5404643318692286, + "learning_rate": 1.3618986810971707e-05, + "loss": 0.8689, + "step": 17007 + }, + { + "epoch": 0.4, + "grad_norm": 1.5114640186197872, + "learning_rate": 1.3618275480257506e-05, + "loss": 0.7428, + "step": 17008 + }, + { + "epoch": 0.4, + "grad_norm": 2.102232154125245, + "learning_rate": 1.361756412847656e-05, + "loss": 0.7688, + "step": 17009 + }, + { + "epoch": 0.4, + "grad_norm": 0.7452382044351241, + "learning_rate": 1.361685275563301e-05, + "loss": 0.7506, + "step": 17010 + }, + { + "epoch": 0.4, + "grad_norm": 1.6778241469596982, + "learning_rate": 1.3616141361730999e-05, + "loss": 0.9679, + "step": 17011 + }, + { + "epoch": 0.4, + "grad_norm": 0.7920027814565499, + "learning_rate": 1.3615429946774668e-05, + "loss": 0.7594, + "step": 17012 + }, + { + "epoch": 0.4, + "grad_norm": 2.015381688814437, + "learning_rate": 1.3614718510768156e-05, + "loss": 0.9101, + "step": 17013 + }, + { + "epoch": 0.4, + "grad_norm": 1.9510891262469963, + "learning_rate": 1.3614007053715612e-05, + "loss": 0.9068, + "step": 17014 + }, + { + "epoch": 0.4, + "grad_norm": 2.155152624141226, + "learning_rate": 1.3613295575621177e-05, + "loss": 0.7799, + "step": 17015 + }, + { + "epoch": 0.4, + "grad_norm": 1.902397336161669, + "learning_rate": 1.3612584076488986e-05, + "loss": 0.9211, + "step": 17016 + }, + { + "epoch": 0.4, + "grad_norm": 2.137684294502645, + "learning_rate": 1.361187255632319e-05, + "loss": 0.7407, + "step": 17017 + }, + { + "epoch": 0.4, + "grad_norm": 2.1611855768205293, + "learning_rate": 1.3611161015127926e-05, + "loss": 0.9729, + "step": 17018 + }, + { + "epoch": 0.4, + "grad_norm": 1.5189594075604298, + "learning_rate": 1.3610449452907345e-05, + "loss": 0.8221, + "step": 17019 + }, + { + "epoch": 0.4, + "grad_norm": 1.6705561584943822, + "learning_rate": 1.3609737869665579e-05, + "loss": 1.0338, + "step": 17020 + }, + { + "epoch": 0.4, + "grad_norm": 1.9149112626097815, + "learning_rate": 1.3609026265406775e-05, + "loss": 0.8287, + "step": 17021 + }, + { + "epoch": 0.4, + "grad_norm": 1.6441468434237163, + "learning_rate": 1.3608314640135084e-05, + "loss": 0.89, + "step": 17022 + }, + { + "epoch": 0.4, + "grad_norm": 1.9020309010161682, + "learning_rate": 1.3607602993854637e-05, + "loss": 0.8622, + "step": 17023 + }, + { + "epoch": 0.4, + "grad_norm": 0.7787250978905406, + "learning_rate": 1.3606891326569584e-05, + "loss": 0.7867, + "step": 17024 + }, + { + "epoch": 0.4, + "grad_norm": 1.6028148728798666, + "learning_rate": 1.3606179638284067e-05, + "loss": 0.802, + "step": 17025 + }, + { + "epoch": 0.4, + "grad_norm": 1.6017762134049112, + "learning_rate": 1.3605467929002233e-05, + "loss": 0.956, + "step": 17026 + }, + { + "epoch": 0.4, + "grad_norm": 2.951472917469815, + "learning_rate": 1.3604756198728222e-05, + "loss": 0.8214, + "step": 17027 + }, + { + "epoch": 0.4, + "grad_norm": 1.6163194633621079, + "learning_rate": 1.3604044447466182e-05, + "loss": 0.7765, + "step": 17028 + }, + { + "epoch": 0.4, + "grad_norm": 2.3772731723881924, + "learning_rate": 1.360333267522025e-05, + "loss": 0.884, + "step": 17029 + }, + { + "epoch": 0.4, + "grad_norm": 3.033914601173184, + "learning_rate": 1.3602620881994577e-05, + "loss": 0.876, + "step": 17030 + }, + { + "epoch": 0.4, + "grad_norm": 0.7862236443794546, + "learning_rate": 1.3601909067793304e-05, + "loss": 0.7451, + "step": 17031 + }, + { + "epoch": 0.4, + "grad_norm": 1.9533725279180438, + "learning_rate": 1.3601197232620575e-05, + "loss": 0.7826, + "step": 17032 + }, + { + "epoch": 0.4, + "grad_norm": 0.7244785032525082, + "learning_rate": 1.3600485376480536e-05, + "loss": 0.7, + "step": 17033 + }, + { + "epoch": 0.4, + "grad_norm": 1.9404147106728014, + "learning_rate": 1.3599773499377333e-05, + "loss": 0.9095, + "step": 17034 + }, + { + "epoch": 0.4, + "grad_norm": 1.5934430637723225, + "learning_rate": 1.359906160131511e-05, + "loss": 0.7515, + "step": 17035 + }, + { + "epoch": 0.4, + "grad_norm": 1.492570085116686, + "learning_rate": 1.3598349682298006e-05, + "loss": 0.8514, + "step": 17036 + }, + { + "epoch": 0.4, + "grad_norm": 3.5125437845143277, + "learning_rate": 1.3597637742330174e-05, + "loss": 0.81, + "step": 17037 + }, + { + "epoch": 0.4, + "grad_norm": 1.7992266509328911, + "learning_rate": 1.3596925781415755e-05, + "loss": 0.879, + "step": 17038 + }, + { + "epoch": 0.4, + "grad_norm": 1.8349936976999035, + "learning_rate": 1.3596213799558898e-05, + "loss": 0.9738, + "step": 17039 + }, + { + "epoch": 0.4, + "grad_norm": 0.7292572984469367, + "learning_rate": 1.359550179676374e-05, + "loss": 0.7389, + "step": 17040 + }, + { + "epoch": 0.4, + "grad_norm": 2.275384076563372, + "learning_rate": 1.3594789773034439e-05, + "loss": 0.9197, + "step": 17041 + }, + { + "epoch": 0.4, + "grad_norm": 0.7530218143712167, + "learning_rate": 1.3594077728375129e-05, + "loss": 0.7383, + "step": 17042 + }, + { + "epoch": 0.4, + "grad_norm": 1.6697808175959932, + "learning_rate": 1.3593365662789966e-05, + "loss": 0.8742, + "step": 17043 + }, + { + "epoch": 0.4, + "grad_norm": 2.013459148690383, + "learning_rate": 1.3592653576283083e-05, + "loss": 0.8996, + "step": 17044 + }, + { + "epoch": 0.4, + "grad_norm": 1.7470186126185554, + "learning_rate": 1.359194146885864e-05, + "loss": 0.9782, + "step": 17045 + }, + { + "epoch": 0.4, + "grad_norm": 1.6023310374325723, + "learning_rate": 1.359122934052077e-05, + "loss": 0.9453, + "step": 17046 + }, + { + "epoch": 0.4, + "grad_norm": 1.6114514630067582, + "learning_rate": 1.3590517191273634e-05, + "loss": 0.8642, + "step": 17047 + }, + { + "epoch": 0.4, + "grad_norm": 1.807577445384451, + "learning_rate": 1.3589805021121363e-05, + "loss": 0.9106, + "step": 17048 + }, + { + "epoch": 0.4, + "grad_norm": 1.469663867413236, + "learning_rate": 1.3589092830068116e-05, + "loss": 0.9019, + "step": 17049 + }, + { + "epoch": 0.4, + "grad_norm": 0.7613468802604025, + "learning_rate": 1.3588380618118031e-05, + "loss": 0.6721, + "step": 17050 + }, + { + "epoch": 0.4, + "grad_norm": 1.702293693207459, + "learning_rate": 1.3587668385275258e-05, + "loss": 0.8928, + "step": 17051 + }, + { + "epoch": 0.4, + "grad_norm": 1.676038679950981, + "learning_rate": 1.3586956131543944e-05, + "loss": 0.9732, + "step": 17052 + }, + { + "epoch": 0.4, + "grad_norm": 1.9701681790533447, + "learning_rate": 1.3586243856928238e-05, + "loss": 0.8624, + "step": 17053 + }, + { + "epoch": 0.4, + "grad_norm": 0.7832658206313017, + "learning_rate": 1.3585531561432284e-05, + "loss": 0.7742, + "step": 17054 + }, + { + "epoch": 0.4, + "grad_norm": 1.6328025073505428, + "learning_rate": 1.3584819245060228e-05, + "loss": 0.9467, + "step": 17055 + }, + { + "epoch": 0.4, + "grad_norm": 1.7870253510929495, + "learning_rate": 1.3584106907816222e-05, + "loss": 0.9789, + "step": 17056 + }, + { + "epoch": 0.4, + "grad_norm": 1.6770922282251117, + "learning_rate": 1.3583394549704404e-05, + "loss": 0.9066, + "step": 17057 + }, + { + "epoch": 0.4, + "grad_norm": 1.8178808214005224, + "learning_rate": 1.3582682170728939e-05, + "loss": 0.8855, + "step": 17058 + }, + { + "epoch": 0.4, + "grad_norm": 1.6043954647116523, + "learning_rate": 1.3581969770893959e-05, + "loss": 0.7608, + "step": 17059 + }, + { + "epoch": 0.4, + "grad_norm": 1.5673429422788956, + "learning_rate": 1.3581257350203616e-05, + "loss": 0.9201, + "step": 17060 + }, + { + "epoch": 0.4, + "grad_norm": 1.6958738869248984, + "learning_rate": 1.3580544908662062e-05, + "loss": 0.8427, + "step": 17061 + }, + { + "epoch": 0.4, + "grad_norm": 2.1402084421032104, + "learning_rate": 1.3579832446273438e-05, + "loss": 0.9168, + "step": 17062 + }, + { + "epoch": 0.4, + "grad_norm": 1.8325633865777209, + "learning_rate": 1.35791199630419e-05, + "loss": 0.9896, + "step": 17063 + }, + { + "epoch": 0.4, + "grad_norm": 0.7801063884926894, + "learning_rate": 1.357840745897159e-05, + "loss": 0.7673, + "step": 17064 + }, + { + "epoch": 0.4, + "grad_norm": 1.855398459828516, + "learning_rate": 1.3577694934066659e-05, + "loss": 0.876, + "step": 17065 + }, + { + "epoch": 0.4, + "grad_norm": 1.4478279673383296, + "learning_rate": 1.3576982388331258e-05, + "loss": 0.8504, + "step": 17066 + }, + { + "epoch": 0.4, + "grad_norm": 1.775787847684351, + "learning_rate": 1.357626982176953e-05, + "loss": 1.0067, + "step": 17067 + }, + { + "epoch": 0.4, + "grad_norm": 1.812332162329284, + "learning_rate": 1.3575557234385628e-05, + "loss": 0.8821, + "step": 17068 + }, + { + "epoch": 0.4, + "grad_norm": 2.1812850083929582, + "learning_rate": 1.3574844626183698e-05, + "loss": 0.7488, + "step": 17069 + }, + { + "epoch": 0.4, + "grad_norm": 1.8470386183131793, + "learning_rate": 1.3574131997167891e-05, + "loss": 0.9296, + "step": 17070 + }, + { + "epoch": 0.4, + "grad_norm": 0.7753078552729115, + "learning_rate": 1.3573419347342358e-05, + "loss": 0.7505, + "step": 17071 + }, + { + "epoch": 0.4, + "grad_norm": 1.6275215412823845, + "learning_rate": 1.3572706676711247e-05, + "loss": 0.8066, + "step": 17072 + }, + { + "epoch": 0.4, + "grad_norm": 1.5091214442910565, + "learning_rate": 1.3571993985278706e-05, + "loss": 0.9456, + "step": 17073 + }, + { + "epoch": 0.4, + "grad_norm": 1.7688674499299268, + "learning_rate": 1.3571281273048885e-05, + "loss": 0.9342, + "step": 17074 + }, + { + "epoch": 0.4, + "grad_norm": 1.6613411639560927, + "learning_rate": 1.3570568540025933e-05, + "loss": 0.8542, + "step": 17075 + }, + { + "epoch": 0.4, + "grad_norm": 1.6965328268840403, + "learning_rate": 1.3569855786213998e-05, + "loss": 0.9708, + "step": 17076 + }, + { + "epoch": 0.4, + "grad_norm": 1.4992655431214625, + "learning_rate": 1.3569143011617238e-05, + "loss": 0.9518, + "step": 17077 + }, + { + "epoch": 0.4, + "grad_norm": 1.7689987477202784, + "learning_rate": 1.3568430216239792e-05, + "loss": 0.8785, + "step": 17078 + }, + { + "epoch": 0.4, + "grad_norm": 1.7118883256295492, + "learning_rate": 1.356771740008582e-05, + "loss": 1.0271, + "step": 17079 + }, + { + "epoch": 0.4, + "grad_norm": 1.4634928586946128, + "learning_rate": 1.3567004563159467e-05, + "loss": 0.8286, + "step": 17080 + }, + { + "epoch": 0.4, + "grad_norm": 2.112457701176178, + "learning_rate": 1.3566291705464883e-05, + "loss": 0.9616, + "step": 17081 + }, + { + "epoch": 0.4, + "grad_norm": 1.6827979576393768, + "learning_rate": 1.3565578827006218e-05, + "loss": 0.8378, + "step": 17082 + }, + { + "epoch": 0.4, + "grad_norm": 1.8502817188847485, + "learning_rate": 1.3564865927787627e-05, + "loss": 0.9576, + "step": 17083 + }, + { + "epoch": 0.4, + "grad_norm": 1.551076991589521, + "learning_rate": 1.3564153007813257e-05, + "loss": 1.0312, + "step": 17084 + }, + { + "epoch": 0.4, + "grad_norm": 1.7559042508232596, + "learning_rate": 1.356344006708726e-05, + "loss": 0.8655, + "step": 17085 + }, + { + "epoch": 0.4, + "grad_norm": 1.7256657466785332, + "learning_rate": 1.3562727105613784e-05, + "loss": 0.8446, + "step": 17086 + }, + { + "epoch": 0.4, + "grad_norm": 3.038072080269816, + "learning_rate": 1.3562014123396988e-05, + "loss": 0.8214, + "step": 17087 + }, + { + "epoch": 0.4, + "grad_norm": 2.474610590685122, + "learning_rate": 1.3561301120441015e-05, + "loss": 0.8195, + "step": 17088 + }, + { + "epoch": 0.4, + "grad_norm": 1.7337115577343833, + "learning_rate": 1.3560588096750018e-05, + "loss": 0.8981, + "step": 17089 + }, + { + "epoch": 0.4, + "grad_norm": 1.9528590114791107, + "learning_rate": 1.355987505232815e-05, + "loss": 0.9552, + "step": 17090 + }, + { + "epoch": 0.4, + "grad_norm": 1.5736588024361318, + "learning_rate": 1.3559161987179565e-05, + "loss": 1.0784, + "step": 17091 + }, + { + "epoch": 0.4, + "grad_norm": 1.7950362517773415, + "learning_rate": 1.3558448901308411e-05, + "loss": 0.9661, + "step": 17092 + }, + { + "epoch": 0.4, + "grad_norm": 1.5618453424072023, + "learning_rate": 1.355773579471884e-05, + "loss": 0.9105, + "step": 17093 + }, + { + "epoch": 0.4, + "grad_norm": 1.580930821140351, + "learning_rate": 1.3557022667415009e-05, + "loss": 0.8655, + "step": 17094 + }, + { + "epoch": 0.4, + "grad_norm": 1.6467011456692866, + "learning_rate": 1.3556309519401061e-05, + "loss": 0.8643, + "step": 17095 + }, + { + "epoch": 0.4, + "grad_norm": 2.182810263126561, + "learning_rate": 1.3555596350681158e-05, + "loss": 0.9924, + "step": 17096 + }, + { + "epoch": 0.4, + "grad_norm": 2.5068393621989724, + "learning_rate": 1.355488316125944e-05, + "loss": 0.9577, + "step": 17097 + }, + { + "epoch": 0.4, + "grad_norm": 1.7643098799976362, + "learning_rate": 1.3554169951140073e-05, + "loss": 0.9956, + "step": 17098 + }, + { + "epoch": 0.4, + "grad_norm": 1.7434490854723474, + "learning_rate": 1.35534567203272e-05, + "loss": 0.8878, + "step": 17099 + }, + { + "epoch": 0.4, + "grad_norm": 1.7014737081455535, + "learning_rate": 1.355274346882498e-05, + "loss": 0.834, + "step": 17100 + }, + { + "epoch": 0.4, + "grad_norm": 1.5859555313669091, + "learning_rate": 1.355203019663756e-05, + "loss": 0.8077, + "step": 17101 + }, + { + "epoch": 0.4, + "grad_norm": 1.519689450553425, + "learning_rate": 1.3551316903769097e-05, + "loss": 0.7964, + "step": 17102 + }, + { + "epoch": 0.4, + "grad_norm": 1.4578086889080504, + "learning_rate": 1.3550603590223744e-05, + "loss": 0.9882, + "step": 17103 + }, + { + "epoch": 0.4, + "grad_norm": 1.490750234730187, + "learning_rate": 1.3549890256005649e-05, + "loss": 0.8636, + "step": 17104 + }, + { + "epoch": 0.4, + "grad_norm": 2.2142860538933236, + "learning_rate": 1.354917690111897e-05, + "loss": 0.8963, + "step": 17105 + }, + { + "epoch": 0.4, + "grad_norm": 1.5169454524249901, + "learning_rate": 1.3548463525567858e-05, + "loss": 0.9294, + "step": 17106 + }, + { + "epoch": 0.4, + "grad_norm": 1.6601542052263403, + "learning_rate": 1.3547750129356474e-05, + "loss": 0.8566, + "step": 17107 + }, + { + "epoch": 0.4, + "grad_norm": 1.6989718180698052, + "learning_rate": 1.3547036712488961e-05, + "loss": 0.9177, + "step": 17108 + }, + { + "epoch": 0.4, + "grad_norm": 0.7974192431931229, + "learning_rate": 1.3546323274969479e-05, + "loss": 0.7937, + "step": 17109 + }, + { + "epoch": 0.4, + "grad_norm": 1.667300040511061, + "learning_rate": 1.354560981680218e-05, + "loss": 0.897, + "step": 17110 + }, + { + "epoch": 0.4, + "grad_norm": 1.5539618266296984, + "learning_rate": 1.3544896337991219e-05, + "loss": 1.0235, + "step": 17111 + }, + { + "epoch": 0.4, + "grad_norm": 1.9436342300203866, + "learning_rate": 1.3544182838540745e-05, + "loss": 0.9555, + "step": 17112 + }, + { + "epoch": 0.4, + "grad_norm": 1.8720277997894947, + "learning_rate": 1.354346931845492e-05, + "loss": 0.9008, + "step": 17113 + }, + { + "epoch": 0.4, + "grad_norm": 1.6867334988315528, + "learning_rate": 1.3542755777737892e-05, + "loss": 0.9164, + "step": 17114 + }, + { + "epoch": 0.4, + "grad_norm": 1.9232804808143744, + "learning_rate": 1.3542042216393825e-05, + "loss": 0.9435, + "step": 17115 + }, + { + "epoch": 0.4, + "grad_norm": 1.8867667410936457, + "learning_rate": 1.3541328634426858e-05, + "loss": 0.9382, + "step": 17116 + }, + { + "epoch": 0.4, + "grad_norm": 1.9471300795743343, + "learning_rate": 1.3540615031841163e-05, + "loss": 0.9809, + "step": 17117 + }, + { + "epoch": 0.4, + "grad_norm": 1.4865091318159926, + "learning_rate": 1.353990140864088e-05, + "loss": 0.8766, + "step": 17118 + }, + { + "epoch": 0.4, + "grad_norm": 1.634437638369363, + "learning_rate": 1.353918776483017e-05, + "loss": 0.8053, + "step": 17119 + }, + { + "epoch": 0.4, + "grad_norm": 1.6038066908069823, + "learning_rate": 1.353847410041319e-05, + "loss": 0.8386, + "step": 17120 + }, + { + "epoch": 0.4, + "grad_norm": 1.636142225776054, + "learning_rate": 1.3537760415394095e-05, + "loss": 0.7167, + "step": 17121 + }, + { + "epoch": 0.4, + "grad_norm": 1.6516185329319581, + "learning_rate": 1.3537046709777037e-05, + "loss": 0.8104, + "step": 17122 + }, + { + "epoch": 0.4, + "grad_norm": 0.8197094135679673, + "learning_rate": 1.3536332983566177e-05, + "loss": 0.7227, + "step": 17123 + }, + { + "epoch": 0.4, + "grad_norm": 1.5945503765120337, + "learning_rate": 1.3535619236765665e-05, + "loss": 0.9498, + "step": 17124 + }, + { + "epoch": 0.4, + "grad_norm": 2.0573033926996565, + "learning_rate": 1.3534905469379654e-05, + "loss": 0.8972, + "step": 17125 + }, + { + "epoch": 0.4, + "grad_norm": 1.9784159284536245, + "learning_rate": 1.3534191681412309e-05, + "loss": 0.8913, + "step": 17126 + }, + { + "epoch": 0.4, + "grad_norm": 3.4089445073669693, + "learning_rate": 1.353347787286778e-05, + "loss": 0.8508, + "step": 17127 + }, + { + "epoch": 0.4, + "grad_norm": 1.6909759971359224, + "learning_rate": 1.3532764043750224e-05, + "loss": 0.9719, + "step": 17128 + }, + { + "epoch": 0.4, + "grad_norm": 1.8949564159909122, + "learning_rate": 1.3532050194063795e-05, + "loss": 0.9022, + "step": 17129 + }, + { + "epoch": 0.4, + "grad_norm": 1.9105165073492614, + "learning_rate": 1.3531336323812656e-05, + "loss": 0.8989, + "step": 17130 + }, + { + "epoch": 0.4, + "grad_norm": 1.9290094036328993, + "learning_rate": 1.3530622433000958e-05, + "loss": 0.8899, + "step": 17131 + }, + { + "epoch": 0.4, + "grad_norm": 2.5511090955300384, + "learning_rate": 1.3529908521632854e-05, + "loss": 1.0122, + "step": 17132 + }, + { + "epoch": 0.4, + "grad_norm": 1.7676971681792975, + "learning_rate": 1.352919458971251e-05, + "loss": 0.9263, + "step": 17133 + }, + { + "epoch": 0.4, + "grad_norm": 1.7156101932955012, + "learning_rate": 1.3528480637244075e-05, + "loss": 0.8515, + "step": 17134 + }, + { + "epoch": 0.4, + "grad_norm": 1.438347486593679, + "learning_rate": 1.3527766664231709e-05, + "loss": 0.8518, + "step": 17135 + }, + { + "epoch": 0.4, + "grad_norm": 1.6680634958190623, + "learning_rate": 1.352705267067957e-05, + "loss": 0.9524, + "step": 17136 + }, + { + "epoch": 0.4, + "grad_norm": 0.7487885822377139, + "learning_rate": 1.3526338656591813e-05, + "loss": 0.7349, + "step": 17137 + }, + { + "epoch": 0.4, + "grad_norm": 1.4778101104629209, + "learning_rate": 1.3525624621972595e-05, + "loss": 0.9854, + "step": 17138 + }, + { + "epoch": 0.4, + "grad_norm": 1.6222410371090439, + "learning_rate": 1.3524910566826075e-05, + "loss": 0.8484, + "step": 17139 + }, + { + "epoch": 0.4, + "grad_norm": 2.2174348769208305, + "learning_rate": 1.3524196491156409e-05, + "loss": 0.9352, + "step": 17140 + }, + { + "epoch": 0.4, + "grad_norm": 1.5213535332000285, + "learning_rate": 1.3523482394967756e-05, + "loss": 0.7598, + "step": 17141 + }, + { + "epoch": 0.4, + "grad_norm": 1.4789450782473517, + "learning_rate": 1.3522768278264273e-05, + "loss": 0.9303, + "step": 17142 + }, + { + "epoch": 0.4, + "grad_norm": 1.65206387769962, + "learning_rate": 1.3522054141050118e-05, + "loss": 0.7871, + "step": 17143 + }, + { + "epoch": 0.4, + "grad_norm": 1.5595381822423389, + "learning_rate": 1.352133998332945e-05, + "loss": 0.9359, + "step": 17144 + }, + { + "epoch": 0.4, + "grad_norm": 2.0027192111326655, + "learning_rate": 1.3520625805106425e-05, + "loss": 0.887, + "step": 17145 + }, + { + "epoch": 0.4, + "grad_norm": 1.988845078738925, + "learning_rate": 1.3519911606385199e-05, + "loss": 0.883, + "step": 17146 + }, + { + "epoch": 0.4, + "grad_norm": 1.487201554112785, + "learning_rate": 1.3519197387169939e-05, + "loss": 0.8257, + "step": 17147 + }, + { + "epoch": 0.4, + "grad_norm": 1.6918232741426067, + "learning_rate": 1.3518483147464792e-05, + "loss": 0.7795, + "step": 17148 + }, + { + "epoch": 0.4, + "grad_norm": 1.5310821076614942, + "learning_rate": 1.3517768887273923e-05, + "loss": 0.9683, + "step": 17149 + }, + { + "epoch": 0.4, + "grad_norm": 1.5851801145521764, + "learning_rate": 1.3517054606601492e-05, + "loss": 0.9035, + "step": 17150 + }, + { + "epoch": 0.4, + "grad_norm": 1.6099863534480712, + "learning_rate": 1.3516340305451654e-05, + "loss": 0.8609, + "step": 17151 + }, + { + "epoch": 0.4, + "grad_norm": 1.576128157156495, + "learning_rate": 1.3515625983828572e-05, + "loss": 0.7376, + "step": 17152 + }, + { + "epoch": 0.4, + "grad_norm": 1.6542835277280146, + "learning_rate": 1.35149116417364e-05, + "loss": 0.8292, + "step": 17153 + }, + { + "epoch": 0.4, + "grad_norm": 1.5407887314505262, + "learning_rate": 1.35141972791793e-05, + "loss": 0.9706, + "step": 17154 + }, + { + "epoch": 0.4, + "grad_norm": 1.7905738828159201, + "learning_rate": 1.351348289616143e-05, + "loss": 0.7443, + "step": 17155 + }, + { + "epoch": 0.4, + "grad_norm": 1.4319453119321264, + "learning_rate": 1.3512768492686954e-05, + "loss": 1.0048, + "step": 17156 + }, + { + "epoch": 0.4, + "grad_norm": 1.506143793874407, + "learning_rate": 1.351205406876002e-05, + "loss": 0.8065, + "step": 17157 + }, + { + "epoch": 0.4, + "grad_norm": 1.8020018506318185, + "learning_rate": 1.3511339624384805e-05, + "loss": 0.9206, + "step": 17158 + }, + { + "epoch": 0.4, + "grad_norm": 1.5731505424488976, + "learning_rate": 1.3510625159565453e-05, + "loss": 0.9679, + "step": 17159 + }, + { + "epoch": 0.4, + "grad_norm": 1.7570564902629018, + "learning_rate": 1.3509910674306133e-05, + "loss": 0.8562, + "step": 17160 + }, + { + "epoch": 0.4, + "grad_norm": 1.538655945991603, + "learning_rate": 1.3509196168610999e-05, + "loss": 0.8946, + "step": 17161 + }, + { + "epoch": 0.4, + "grad_norm": 1.4921579685124053, + "learning_rate": 1.3508481642484215e-05, + "loss": 1.0651, + "step": 17162 + }, + { + "epoch": 0.4, + "grad_norm": 0.7714343997908886, + "learning_rate": 1.350776709592994e-05, + "loss": 0.7386, + "step": 17163 + }, + { + "epoch": 0.4, + "grad_norm": 1.5229425865101087, + "learning_rate": 1.3507052528952333e-05, + "loss": 0.956, + "step": 17164 + }, + { + "epoch": 0.4, + "grad_norm": 2.2845052828377224, + "learning_rate": 1.3506337941555559e-05, + "loss": 0.8079, + "step": 17165 + }, + { + "epoch": 0.4, + "grad_norm": 2.906047154128926, + "learning_rate": 1.3505623333743774e-05, + "loss": 1.0461, + "step": 17166 + }, + { + "epoch": 0.4, + "grad_norm": 1.5103710301733757, + "learning_rate": 1.350490870552114e-05, + "loss": 1.0337, + "step": 17167 + }, + { + "epoch": 0.4, + "grad_norm": 1.5303449039303783, + "learning_rate": 1.3504194056891817e-05, + "loss": 0.8936, + "step": 17168 + }, + { + "epoch": 0.4, + "grad_norm": 2.300151243099542, + "learning_rate": 1.3503479387859967e-05, + "loss": 0.755, + "step": 17169 + }, + { + "epoch": 0.4, + "grad_norm": 1.4803772633026895, + "learning_rate": 1.3502764698429753e-05, + "loss": 0.908, + "step": 17170 + }, + { + "epoch": 0.4, + "grad_norm": 1.666880655901407, + "learning_rate": 1.3502049988605332e-05, + "loss": 0.7055, + "step": 17171 + }, + { + "epoch": 0.4, + "grad_norm": 1.5131649978328394, + "learning_rate": 1.3501335258390868e-05, + "loss": 0.8874, + "step": 17172 + }, + { + "epoch": 0.4, + "grad_norm": 1.863703944093084, + "learning_rate": 1.3500620507790523e-05, + "loss": 0.852, + "step": 17173 + }, + { + "epoch": 0.4, + "grad_norm": 1.7543589263950552, + "learning_rate": 1.3499905736808455e-05, + "loss": 1.0198, + "step": 17174 + }, + { + "epoch": 0.4, + "grad_norm": 2.1027074929706027, + "learning_rate": 1.3499190945448828e-05, + "loss": 0.8872, + "step": 17175 + }, + { + "epoch": 0.4, + "grad_norm": 1.5548546953107931, + "learning_rate": 1.3498476133715803e-05, + "loss": 0.8267, + "step": 17176 + }, + { + "epoch": 0.4, + "grad_norm": 1.5423010090082834, + "learning_rate": 1.3497761301613543e-05, + "loss": 0.9879, + "step": 17177 + }, + { + "epoch": 0.4, + "grad_norm": 1.5810926248490111, + "learning_rate": 1.3497046449146209e-05, + "loss": 0.9032, + "step": 17178 + }, + { + "epoch": 0.4, + "grad_norm": 1.5928394209235317, + "learning_rate": 1.3496331576317964e-05, + "loss": 0.8395, + "step": 17179 + }, + { + "epoch": 0.4, + "grad_norm": 0.770610615646385, + "learning_rate": 1.3495616683132969e-05, + "loss": 0.7366, + "step": 17180 + }, + { + "epoch": 0.4, + "grad_norm": 0.7427954440403073, + "learning_rate": 1.349490176959539e-05, + "loss": 0.7489, + "step": 17181 + }, + { + "epoch": 0.4, + "grad_norm": 1.5083248129991274, + "learning_rate": 1.3494186835709383e-05, + "loss": 0.886, + "step": 17182 + }, + { + "epoch": 0.4, + "grad_norm": 1.8072400066657326, + "learning_rate": 1.3493471881479114e-05, + "loss": 0.8328, + "step": 17183 + }, + { + "epoch": 0.4, + "grad_norm": 1.7121689940389533, + "learning_rate": 1.3492756906908748e-05, + "loss": 0.8209, + "step": 17184 + }, + { + "epoch": 0.4, + "grad_norm": 1.5001688640936166, + "learning_rate": 1.3492041912002442e-05, + "loss": 0.8443, + "step": 17185 + }, + { + "epoch": 0.4, + "grad_norm": 1.5751932170239682, + "learning_rate": 1.3491326896764366e-05, + "loss": 0.8051, + "step": 17186 + }, + { + "epoch": 0.4, + "grad_norm": 1.6918487836451968, + "learning_rate": 1.3490611861198676e-05, + "loss": 0.9308, + "step": 17187 + }, + { + "epoch": 0.4, + "grad_norm": 1.8090725262549225, + "learning_rate": 1.3489896805309541e-05, + "loss": 0.9313, + "step": 17188 + }, + { + "epoch": 0.4, + "grad_norm": 1.7379190052264804, + "learning_rate": 1.3489181729101122e-05, + "loss": 0.9045, + "step": 17189 + }, + { + "epoch": 0.4, + "grad_norm": 2.299514607529934, + "learning_rate": 1.3488466632577581e-05, + "loss": 0.7852, + "step": 17190 + }, + { + "epoch": 0.41, + "grad_norm": 1.650750507404524, + "learning_rate": 1.3487751515743084e-05, + "loss": 0.9407, + "step": 17191 + }, + { + "epoch": 0.41, + "grad_norm": 1.5691133024581336, + "learning_rate": 1.3487036378601794e-05, + "loss": 0.8084, + "step": 17192 + }, + { + "epoch": 0.41, + "grad_norm": 2.2415059033726785, + "learning_rate": 1.3486321221157872e-05, + "loss": 0.7724, + "step": 17193 + }, + { + "epoch": 0.41, + "grad_norm": 1.5657113185608706, + "learning_rate": 1.3485606043415487e-05, + "loss": 0.8778, + "step": 17194 + }, + { + "epoch": 0.41, + "grad_norm": 2.2187819310435577, + "learning_rate": 1.3484890845378798e-05, + "loss": 0.788, + "step": 17195 + }, + { + "epoch": 0.41, + "grad_norm": 1.7499780884869347, + "learning_rate": 1.3484175627051974e-05, + "loss": 0.863, + "step": 17196 + }, + { + "epoch": 0.41, + "grad_norm": 0.9107896333176889, + "learning_rate": 1.3483460388439172e-05, + "loss": 0.7617, + "step": 17197 + }, + { + "epoch": 0.41, + "grad_norm": 0.8016972043007599, + "learning_rate": 1.3482745129544564e-05, + "loss": 0.7472, + "step": 17198 + }, + { + "epoch": 0.41, + "grad_norm": 1.8718934837518921, + "learning_rate": 1.3482029850372309e-05, + "loss": 0.9747, + "step": 17199 + }, + { + "epoch": 0.41, + "grad_norm": 1.64241864359552, + "learning_rate": 1.3481314550926576e-05, + "loss": 0.8894, + "step": 17200 + }, + { + "epoch": 0.41, + "grad_norm": 1.9092985626563708, + "learning_rate": 1.3480599231211524e-05, + "loss": 0.9005, + "step": 17201 + }, + { + "epoch": 0.41, + "grad_norm": 1.697949059943226, + "learning_rate": 1.3479883891231326e-05, + "loss": 0.8372, + "step": 17202 + }, + { + "epoch": 0.41, + "grad_norm": 1.6667742990787406, + "learning_rate": 1.347916853099014e-05, + "loss": 0.8295, + "step": 17203 + }, + { + "epoch": 0.41, + "grad_norm": 1.6575657090821212, + "learning_rate": 1.3478453150492132e-05, + "loss": 0.8724, + "step": 17204 + }, + { + "epoch": 0.41, + "grad_norm": 1.487157041814631, + "learning_rate": 1.3477737749741473e-05, + "loss": 0.8109, + "step": 17205 + }, + { + "epoch": 0.41, + "grad_norm": 1.8907578607658038, + "learning_rate": 1.3477022328742318e-05, + "loss": 0.8795, + "step": 17206 + }, + { + "epoch": 0.41, + "grad_norm": 1.9145484154260246, + "learning_rate": 1.3476306887498842e-05, + "loss": 0.9308, + "step": 17207 + }, + { + "epoch": 0.41, + "grad_norm": 1.3711792319220009, + "learning_rate": 1.3475591426015204e-05, + "loss": 0.9252, + "step": 17208 + }, + { + "epoch": 0.41, + "grad_norm": 1.5742155215288536, + "learning_rate": 1.3474875944295576e-05, + "loss": 0.7571, + "step": 17209 + }, + { + "epoch": 0.41, + "grad_norm": 1.5370188691199942, + "learning_rate": 1.3474160442344118e-05, + "loss": 0.8048, + "step": 17210 + }, + { + "epoch": 0.41, + "grad_norm": 0.7216917316310246, + "learning_rate": 1.3473444920164997e-05, + "loss": 0.6837, + "step": 17211 + }, + { + "epoch": 0.41, + "grad_norm": 1.6415825298571562, + "learning_rate": 1.3472729377762381e-05, + "loss": 0.9286, + "step": 17212 + }, + { + "epoch": 0.41, + "grad_norm": 1.5990576704384478, + "learning_rate": 1.3472013815140437e-05, + "loss": 0.8318, + "step": 17213 + }, + { + "epoch": 0.41, + "grad_norm": 1.6309400643086347, + "learning_rate": 1.3471298232303326e-05, + "loss": 0.9254, + "step": 17214 + }, + { + "epoch": 0.41, + "grad_norm": 1.7213834857121761, + "learning_rate": 1.347058262925522e-05, + "loss": 0.8299, + "step": 17215 + }, + { + "epoch": 0.41, + "grad_norm": 1.5849728199517208, + "learning_rate": 1.346986700600028e-05, + "loss": 0.8785, + "step": 17216 + }, + { + "epoch": 0.41, + "grad_norm": 1.4962372988382104, + "learning_rate": 1.346915136254268e-05, + "loss": 0.9819, + "step": 17217 + }, + { + "epoch": 0.41, + "grad_norm": 2.03924373142978, + "learning_rate": 1.3468435698886582e-05, + "loss": 1.0306, + "step": 17218 + }, + { + "epoch": 0.41, + "grad_norm": 0.8222338166527788, + "learning_rate": 1.3467720015036152e-05, + "loss": 0.7095, + "step": 17219 + }, + { + "epoch": 0.41, + "grad_norm": 0.8933115763617915, + "learning_rate": 1.3467004310995557e-05, + "loss": 0.8052, + "step": 17220 + }, + { + "epoch": 0.41, + "grad_norm": 2.06663618585636, + "learning_rate": 1.3466288586768968e-05, + "loss": 0.7989, + "step": 17221 + }, + { + "epoch": 0.41, + "grad_norm": 1.6337195337522028, + "learning_rate": 1.3465572842360546e-05, + "loss": 0.9958, + "step": 17222 + }, + { + "epoch": 0.41, + "grad_norm": 1.9373717738785579, + "learning_rate": 1.3464857077774465e-05, + "loss": 0.994, + "step": 17223 + }, + { + "epoch": 0.41, + "grad_norm": 2.3544536318296103, + "learning_rate": 1.346414129301489e-05, + "loss": 0.7956, + "step": 17224 + }, + { + "epoch": 0.41, + "grad_norm": 1.8378689901443437, + "learning_rate": 1.3463425488085982e-05, + "loss": 0.9387, + "step": 17225 + }, + { + "epoch": 0.41, + "grad_norm": 1.5892150012765995, + "learning_rate": 1.346270966299192e-05, + "loss": 0.8399, + "step": 17226 + }, + { + "epoch": 0.41, + "grad_norm": 2.209639145495442, + "learning_rate": 1.3461993817736861e-05, + "loss": 0.9528, + "step": 17227 + }, + { + "epoch": 0.41, + "grad_norm": 5.190162469881313, + "learning_rate": 1.3461277952324982e-05, + "loss": 0.8953, + "step": 17228 + }, + { + "epoch": 0.41, + "grad_norm": 1.3210555155529722, + "learning_rate": 1.3460562066760444e-05, + "loss": 0.8572, + "step": 17229 + }, + { + "epoch": 0.41, + "grad_norm": 1.867435767375178, + "learning_rate": 1.3459846161047421e-05, + "loss": 0.7747, + "step": 17230 + }, + { + "epoch": 0.41, + "grad_norm": 1.7267857701259108, + "learning_rate": 1.3459130235190077e-05, + "loss": 1.083, + "step": 17231 + }, + { + "epoch": 0.41, + "grad_norm": 1.7109332027956972, + "learning_rate": 1.3458414289192582e-05, + "loss": 0.8873, + "step": 17232 + }, + { + "epoch": 0.41, + "grad_norm": 0.7517640866462596, + "learning_rate": 1.3457698323059102e-05, + "loss": 0.7311, + "step": 17233 + }, + { + "epoch": 0.41, + "grad_norm": 1.7484876968930572, + "learning_rate": 1.3456982336793811e-05, + "loss": 0.9341, + "step": 17234 + }, + { + "epoch": 0.41, + "grad_norm": 1.9404537064333325, + "learning_rate": 1.3456266330400873e-05, + "loss": 0.7202, + "step": 17235 + }, + { + "epoch": 0.41, + "grad_norm": 1.4933127304844878, + "learning_rate": 1.3455550303884458e-05, + "loss": 0.974, + "step": 17236 + }, + { + "epoch": 0.41, + "grad_norm": 1.5661562998672096, + "learning_rate": 1.3454834257248734e-05, + "loss": 0.7667, + "step": 17237 + }, + { + "epoch": 0.41, + "grad_norm": 2.0084912878316246, + "learning_rate": 1.3454118190497874e-05, + "loss": 0.9588, + "step": 17238 + }, + { + "epoch": 0.41, + "grad_norm": 1.5139376024836613, + "learning_rate": 1.3453402103636042e-05, + "loss": 0.9464, + "step": 17239 + }, + { + "epoch": 0.41, + "grad_norm": 1.5029611617148808, + "learning_rate": 1.3452685996667409e-05, + "loss": 0.8596, + "step": 17240 + }, + { + "epoch": 0.41, + "grad_norm": 1.8121567843524173, + "learning_rate": 1.3451969869596146e-05, + "loss": 0.8399, + "step": 17241 + }, + { + "epoch": 0.41, + "grad_norm": 1.5968410089639444, + "learning_rate": 1.3451253722426423e-05, + "loss": 0.9086, + "step": 17242 + }, + { + "epoch": 0.41, + "grad_norm": 1.8934295489618556, + "learning_rate": 1.3450537555162406e-05, + "loss": 0.8876, + "step": 17243 + }, + { + "epoch": 0.41, + "grad_norm": 1.6261134336867689, + "learning_rate": 1.3449821367808269e-05, + "loss": 0.8884, + "step": 17244 + }, + { + "epoch": 0.41, + "grad_norm": 0.806642087026286, + "learning_rate": 1.3449105160368179e-05, + "loss": 0.7328, + "step": 17245 + }, + { + "epoch": 0.41, + "grad_norm": 1.495574888919458, + "learning_rate": 1.3448388932846306e-05, + "loss": 0.9037, + "step": 17246 + }, + { + "epoch": 0.41, + "grad_norm": 1.9639531762692846, + "learning_rate": 1.3447672685246822e-05, + "loss": 0.8822, + "step": 17247 + }, + { + "epoch": 0.41, + "grad_norm": 1.6628046873844375, + "learning_rate": 1.3446956417573894e-05, + "loss": 0.9856, + "step": 17248 + }, + { + "epoch": 0.41, + "grad_norm": 1.644154641260656, + "learning_rate": 1.3446240129831699e-05, + "loss": 0.8298, + "step": 17249 + }, + { + "epoch": 0.41, + "grad_norm": 1.4567609076087882, + "learning_rate": 1.3445523822024398e-05, + "loss": 0.8675, + "step": 17250 + }, + { + "epoch": 0.41, + "grad_norm": 1.459946787846933, + "learning_rate": 1.344480749415617e-05, + "loss": 0.7694, + "step": 17251 + }, + { + "epoch": 0.41, + "grad_norm": 1.6432072678100724, + "learning_rate": 1.3444091146231178e-05, + "loss": 0.8531, + "step": 17252 + }, + { + "epoch": 0.41, + "grad_norm": 1.7983921025565497, + "learning_rate": 1.3443374778253597e-05, + "loss": 0.8916, + "step": 17253 + }, + { + "epoch": 0.41, + "grad_norm": 1.4660120227309779, + "learning_rate": 1.3442658390227604e-05, + "loss": 0.95, + "step": 17254 + }, + { + "epoch": 0.41, + "grad_norm": 1.4816326971611042, + "learning_rate": 1.3441941982157358e-05, + "loss": 0.8883, + "step": 17255 + }, + { + "epoch": 0.41, + "grad_norm": 1.7860462264587098, + "learning_rate": 1.3441225554047039e-05, + "loss": 0.8325, + "step": 17256 + }, + { + "epoch": 0.41, + "grad_norm": 1.588655361698687, + "learning_rate": 1.3440509105900813e-05, + "loss": 0.8327, + "step": 17257 + }, + { + "epoch": 0.41, + "grad_norm": 1.6478187484309514, + "learning_rate": 1.3439792637722859e-05, + "loss": 0.9264, + "step": 17258 + }, + { + "epoch": 0.41, + "grad_norm": 1.6052282938896798, + "learning_rate": 1.3439076149517337e-05, + "loss": 0.8522, + "step": 17259 + }, + { + "epoch": 0.41, + "grad_norm": 1.5138283381812863, + "learning_rate": 1.343835964128843e-05, + "loss": 0.8884, + "step": 17260 + }, + { + "epoch": 0.41, + "grad_norm": 1.882638752002436, + "learning_rate": 1.3437643113040302e-05, + "loss": 0.7821, + "step": 17261 + }, + { + "epoch": 0.41, + "grad_norm": 2.355809121702026, + "learning_rate": 1.3436926564777127e-05, + "loss": 0.9086, + "step": 17262 + }, + { + "epoch": 0.41, + "grad_norm": 1.8642567043965574, + "learning_rate": 1.3436209996503078e-05, + "loss": 0.8488, + "step": 17263 + }, + { + "epoch": 0.41, + "grad_norm": 1.431114757881154, + "learning_rate": 1.3435493408222326e-05, + "loss": 0.91, + "step": 17264 + }, + { + "epoch": 0.41, + "grad_norm": 1.7013069802941512, + "learning_rate": 1.3434776799939045e-05, + "loss": 0.8861, + "step": 17265 + }, + { + "epoch": 0.41, + "grad_norm": 1.9951032280900383, + "learning_rate": 1.3434060171657403e-05, + "loss": 0.9503, + "step": 17266 + }, + { + "epoch": 0.41, + "grad_norm": 1.51416640071264, + "learning_rate": 1.3433343523381578e-05, + "loss": 0.8516, + "step": 17267 + }, + { + "epoch": 0.41, + "grad_norm": 2.345690700959556, + "learning_rate": 1.343262685511574e-05, + "loss": 0.925, + "step": 17268 + }, + { + "epoch": 0.41, + "grad_norm": 1.8985735544695186, + "learning_rate": 1.3431910166864062e-05, + "loss": 0.8267, + "step": 17269 + }, + { + "epoch": 0.41, + "grad_norm": 1.4609915589384632, + "learning_rate": 1.3431193458630716e-05, + "loss": 0.797, + "step": 17270 + }, + { + "epoch": 0.41, + "grad_norm": 1.6410071647571984, + "learning_rate": 1.3430476730419874e-05, + "loss": 0.9303, + "step": 17271 + }, + { + "epoch": 0.41, + "grad_norm": 1.6173426712506114, + "learning_rate": 1.3429759982235712e-05, + "loss": 0.9701, + "step": 17272 + }, + { + "epoch": 0.41, + "grad_norm": 1.9850223446439161, + "learning_rate": 1.3429043214082403e-05, + "loss": 0.8, + "step": 17273 + }, + { + "epoch": 0.41, + "grad_norm": 1.4676482523940861, + "learning_rate": 1.3428326425964115e-05, + "loss": 0.699, + "step": 17274 + }, + { + "epoch": 0.41, + "grad_norm": 1.4898929054350032, + "learning_rate": 1.3427609617885029e-05, + "loss": 0.8467, + "step": 17275 + }, + { + "epoch": 0.41, + "grad_norm": 1.7509337775438534, + "learning_rate": 1.3426892789849312e-05, + "loss": 0.8263, + "step": 17276 + }, + { + "epoch": 0.41, + "grad_norm": 1.5522933864746402, + "learning_rate": 1.3426175941861144e-05, + "loss": 0.8566, + "step": 17277 + }, + { + "epoch": 0.41, + "grad_norm": 1.9574617452625123, + "learning_rate": 1.3425459073924689e-05, + "loss": 0.8001, + "step": 17278 + }, + { + "epoch": 0.41, + "grad_norm": 1.3894330129670596, + "learning_rate": 1.3424742186044131e-05, + "loss": 0.8458, + "step": 17279 + }, + { + "epoch": 0.41, + "grad_norm": 1.7605385730208105, + "learning_rate": 1.3424025278223637e-05, + "loss": 0.8157, + "step": 17280 + }, + { + "epoch": 0.41, + "grad_norm": 1.4633979954427527, + "learning_rate": 1.3423308350467388e-05, + "loss": 0.9153, + "step": 17281 + }, + { + "epoch": 0.41, + "grad_norm": 1.616634674758321, + "learning_rate": 1.342259140277955e-05, + "loss": 0.8427, + "step": 17282 + }, + { + "epoch": 0.41, + "grad_norm": 1.5665781710736673, + "learning_rate": 1.3421874435164303e-05, + "loss": 0.9486, + "step": 17283 + }, + { + "epoch": 0.41, + "grad_norm": 1.934815857447527, + "learning_rate": 1.3421157447625822e-05, + "loss": 0.8747, + "step": 17284 + }, + { + "epoch": 0.41, + "grad_norm": 1.536876813160923, + "learning_rate": 1.3420440440168275e-05, + "loss": 0.7618, + "step": 17285 + }, + { + "epoch": 0.41, + "grad_norm": 1.6240667738174643, + "learning_rate": 1.3419723412795843e-05, + "loss": 0.7793, + "step": 17286 + }, + { + "epoch": 0.41, + "grad_norm": 1.6054774194431707, + "learning_rate": 1.3419006365512697e-05, + "loss": 0.9266, + "step": 17287 + }, + { + "epoch": 0.41, + "grad_norm": 1.9292570607585768, + "learning_rate": 1.3418289298323015e-05, + "loss": 0.8825, + "step": 17288 + }, + { + "epoch": 0.41, + "grad_norm": 1.506077735298858, + "learning_rate": 1.3417572211230969e-05, + "loss": 0.8196, + "step": 17289 + }, + { + "epoch": 0.41, + "grad_norm": 2.477199805850461, + "learning_rate": 1.3416855104240739e-05, + "loss": 0.9428, + "step": 17290 + }, + { + "epoch": 0.41, + "grad_norm": 1.4536034120928467, + "learning_rate": 1.3416137977356491e-05, + "loss": 1.0443, + "step": 17291 + }, + { + "epoch": 0.41, + "grad_norm": 1.822289646791211, + "learning_rate": 1.341542083058241e-05, + "loss": 0.819, + "step": 17292 + }, + { + "epoch": 0.41, + "grad_norm": 0.7604751999853682, + "learning_rate": 1.3414703663922668e-05, + "loss": 0.7442, + "step": 17293 + }, + { + "epoch": 0.41, + "grad_norm": 0.8368515223370708, + "learning_rate": 1.3413986477381439e-05, + "loss": 0.7584, + "step": 17294 + }, + { + "epoch": 0.41, + "grad_norm": 1.778232531643465, + "learning_rate": 1.3413269270962902e-05, + "loss": 0.7341, + "step": 17295 + }, + { + "epoch": 0.41, + "grad_norm": 1.4705520142578632, + "learning_rate": 1.341255204467123e-05, + "loss": 0.7754, + "step": 17296 + }, + { + "epoch": 0.41, + "grad_norm": 1.6618321792559347, + "learning_rate": 1.3411834798510596e-05, + "loss": 0.8568, + "step": 17297 + }, + { + "epoch": 0.41, + "grad_norm": 1.9804618552618611, + "learning_rate": 1.3411117532485185e-05, + "loss": 0.8652, + "step": 17298 + }, + { + "epoch": 0.41, + "grad_norm": 1.8647617845481947, + "learning_rate": 1.3410400246599163e-05, + "loss": 1.0067, + "step": 17299 + }, + { + "epoch": 0.41, + "grad_norm": 1.49160573503705, + "learning_rate": 1.3409682940856714e-05, + "loss": 0.9881, + "step": 17300 + }, + { + "epoch": 0.41, + "grad_norm": 1.720562453404529, + "learning_rate": 1.3408965615262008e-05, + "loss": 0.9439, + "step": 17301 + }, + { + "epoch": 0.41, + "grad_norm": 1.5124229400038043, + "learning_rate": 1.3408248269819228e-05, + "loss": 0.7954, + "step": 17302 + }, + { + "epoch": 0.41, + "grad_norm": 2.0254389308272525, + "learning_rate": 1.3407530904532546e-05, + "loss": 0.7603, + "step": 17303 + }, + { + "epoch": 0.41, + "grad_norm": 1.8094871901124248, + "learning_rate": 1.3406813519406142e-05, + "loss": 0.9788, + "step": 17304 + }, + { + "epoch": 0.41, + "grad_norm": 1.4856344257940837, + "learning_rate": 1.3406096114444193e-05, + "loss": 1.0417, + "step": 17305 + }, + { + "epoch": 0.41, + "grad_norm": 2.8104130953833257, + "learning_rate": 1.340537868965087e-05, + "loss": 1.0049, + "step": 17306 + }, + { + "epoch": 0.41, + "grad_norm": 1.7447067664120686, + "learning_rate": 1.3404661245030357e-05, + "loss": 0.9377, + "step": 17307 + }, + { + "epoch": 0.41, + "grad_norm": 1.9803727518359524, + "learning_rate": 1.3403943780586826e-05, + "loss": 0.8765, + "step": 17308 + }, + { + "epoch": 0.41, + "grad_norm": 1.77276952109171, + "learning_rate": 1.3403226296324458e-05, + "loss": 0.751, + "step": 17309 + }, + { + "epoch": 0.41, + "grad_norm": 2.3957352473541365, + "learning_rate": 1.3402508792247427e-05, + "loss": 0.9712, + "step": 17310 + }, + { + "epoch": 0.41, + "grad_norm": 0.7869073717702929, + "learning_rate": 1.3401791268359916e-05, + "loss": 0.7073, + "step": 17311 + }, + { + "epoch": 0.41, + "grad_norm": 2.3053922700395155, + "learning_rate": 1.3401073724666098e-05, + "loss": 0.895, + "step": 17312 + }, + { + "epoch": 0.41, + "grad_norm": 0.7863834694530497, + "learning_rate": 1.3400356161170152e-05, + "loss": 0.7608, + "step": 17313 + }, + { + "epoch": 0.41, + "grad_norm": 0.7442366626337039, + "learning_rate": 1.3399638577876255e-05, + "loss": 0.7159, + "step": 17314 + }, + { + "epoch": 0.41, + "grad_norm": 2.011848601746936, + "learning_rate": 1.3398920974788585e-05, + "loss": 0.94, + "step": 17315 + }, + { + "epoch": 0.41, + "grad_norm": 1.7405746597513068, + "learning_rate": 1.3398203351911323e-05, + "loss": 0.8503, + "step": 17316 + }, + { + "epoch": 0.41, + "grad_norm": 1.5233628277061437, + "learning_rate": 1.3397485709248643e-05, + "loss": 0.9315, + "step": 17317 + }, + { + "epoch": 0.41, + "grad_norm": 1.649716125596699, + "learning_rate": 1.3396768046804728e-05, + "loss": 0.7481, + "step": 17318 + }, + { + "epoch": 0.41, + "grad_norm": 2.3662736007331393, + "learning_rate": 1.3396050364583752e-05, + "loss": 0.893, + "step": 17319 + }, + { + "epoch": 0.41, + "grad_norm": 1.533606711195375, + "learning_rate": 1.3395332662589898e-05, + "loss": 0.9803, + "step": 17320 + }, + { + "epoch": 0.41, + "grad_norm": 2.001762209037638, + "learning_rate": 1.339461494082734e-05, + "loss": 0.8513, + "step": 17321 + }, + { + "epoch": 0.41, + "grad_norm": 1.8402664448086319, + "learning_rate": 1.3393897199300262e-05, + "loss": 0.9048, + "step": 17322 + }, + { + "epoch": 0.41, + "grad_norm": 1.8895153251358334, + "learning_rate": 1.3393179438012836e-05, + "loss": 0.8366, + "step": 17323 + }, + { + "epoch": 0.41, + "grad_norm": 1.5458284221449627, + "learning_rate": 1.3392461656969246e-05, + "loss": 0.8396, + "step": 17324 + }, + { + "epoch": 0.41, + "grad_norm": 1.6584881069652766, + "learning_rate": 1.3391743856173673e-05, + "loss": 0.8799, + "step": 17325 + }, + { + "epoch": 0.41, + "grad_norm": 2.0983565322357522, + "learning_rate": 1.3391026035630294e-05, + "loss": 0.9464, + "step": 17326 + }, + { + "epoch": 0.41, + "grad_norm": 1.7952474272063792, + "learning_rate": 1.3390308195343282e-05, + "loss": 0.8765, + "step": 17327 + }, + { + "epoch": 0.41, + "grad_norm": 1.6056109477137233, + "learning_rate": 1.338959033531683e-05, + "loss": 0.8009, + "step": 17328 + }, + { + "epoch": 0.41, + "grad_norm": 1.8895434349788074, + "learning_rate": 1.3388872455555102e-05, + "loss": 0.9486, + "step": 17329 + }, + { + "epoch": 0.41, + "grad_norm": 1.4533973809772582, + "learning_rate": 1.3388154556062292e-05, + "loss": 0.8027, + "step": 17330 + }, + { + "epoch": 0.41, + "grad_norm": 3.2019898855104487, + "learning_rate": 1.338743663684257e-05, + "loss": 1.0973, + "step": 17331 + }, + { + "epoch": 0.41, + "grad_norm": 1.4467168567260364, + "learning_rate": 1.3386718697900123e-05, + "loss": 0.9851, + "step": 17332 + }, + { + "epoch": 0.41, + "grad_norm": 1.6731002683144451, + "learning_rate": 1.3386000739239125e-05, + "loss": 0.8691, + "step": 17333 + }, + { + "epoch": 0.41, + "grad_norm": 0.8069212802814008, + "learning_rate": 1.3385282760863758e-05, + "loss": 0.716, + "step": 17334 + }, + { + "epoch": 0.41, + "grad_norm": 1.545233605116997, + "learning_rate": 1.3384564762778203e-05, + "loss": 0.8339, + "step": 17335 + }, + { + "epoch": 0.41, + "grad_norm": 0.8021926808047721, + "learning_rate": 1.3383846744986642e-05, + "loss": 0.754, + "step": 17336 + }, + { + "epoch": 0.41, + "grad_norm": 1.5446502648021754, + "learning_rate": 1.3383128707493253e-05, + "loss": 0.9152, + "step": 17337 + }, + { + "epoch": 0.41, + "grad_norm": 1.8488233083868364, + "learning_rate": 1.3382410650302218e-05, + "loss": 0.9405, + "step": 17338 + }, + { + "epoch": 0.41, + "grad_norm": 1.5318215862135347, + "learning_rate": 1.3381692573417718e-05, + "loss": 0.8915, + "step": 17339 + }, + { + "epoch": 0.41, + "grad_norm": 1.7662451607568013, + "learning_rate": 1.3380974476843932e-05, + "loss": 0.874, + "step": 17340 + }, + { + "epoch": 0.41, + "grad_norm": 1.9370476816230735, + "learning_rate": 1.338025636058504e-05, + "loss": 0.9527, + "step": 17341 + }, + { + "epoch": 0.41, + "grad_norm": 1.7839299332294287, + "learning_rate": 1.3379538224645228e-05, + "loss": 1.0709, + "step": 17342 + }, + { + "epoch": 0.41, + "grad_norm": 0.7283543817852421, + "learning_rate": 1.3378820069028675e-05, + "loss": 0.7336, + "step": 17343 + }, + { + "epoch": 0.41, + "grad_norm": 1.3917561518400974, + "learning_rate": 1.3378101893739561e-05, + "loss": 0.8031, + "step": 17344 + }, + { + "epoch": 0.41, + "grad_norm": 1.738599292050644, + "learning_rate": 1.3377383698782066e-05, + "loss": 0.8993, + "step": 17345 + }, + { + "epoch": 0.41, + "grad_norm": 1.6890918758909703, + "learning_rate": 1.3376665484160378e-05, + "loss": 0.7284, + "step": 17346 + }, + { + "epoch": 0.41, + "grad_norm": 1.729904256636404, + "learning_rate": 1.3375947249878675e-05, + "loss": 0.8815, + "step": 17347 + }, + { + "epoch": 0.41, + "grad_norm": 1.758558724197751, + "learning_rate": 1.3375228995941135e-05, + "loss": 0.7436, + "step": 17348 + }, + { + "epoch": 0.41, + "grad_norm": 1.6865873771620108, + "learning_rate": 1.3374510722351945e-05, + "loss": 1.0447, + "step": 17349 + }, + { + "epoch": 0.41, + "grad_norm": 2.0787338896888565, + "learning_rate": 1.3373792429115282e-05, + "loss": 0.8658, + "step": 17350 + }, + { + "epoch": 0.41, + "grad_norm": 1.654271884983362, + "learning_rate": 1.3373074116235334e-05, + "loss": 0.7789, + "step": 17351 + }, + { + "epoch": 0.41, + "grad_norm": 1.5803325603900589, + "learning_rate": 1.3372355783716282e-05, + "loss": 0.7255, + "step": 17352 + }, + { + "epoch": 0.41, + "grad_norm": 2.0737237861842024, + "learning_rate": 1.3371637431562303e-05, + "loss": 0.9417, + "step": 17353 + }, + { + "epoch": 0.41, + "grad_norm": 1.6326674931777874, + "learning_rate": 1.337091905977759e-05, + "loss": 0.8823, + "step": 17354 + }, + { + "epoch": 0.41, + "grad_norm": 1.5561515695440105, + "learning_rate": 1.337020066836631e-05, + "loss": 0.8857, + "step": 17355 + }, + { + "epoch": 0.41, + "grad_norm": 1.762444562112901, + "learning_rate": 1.3369482257332664e-05, + "loss": 0.7621, + "step": 17356 + }, + { + "epoch": 0.41, + "grad_norm": 4.027487394596067, + "learning_rate": 1.336876382668082e-05, + "loss": 0.931, + "step": 17357 + }, + { + "epoch": 0.41, + "grad_norm": 1.611775261926004, + "learning_rate": 1.3368045376414968e-05, + "loss": 0.9795, + "step": 17358 + }, + { + "epoch": 0.41, + "grad_norm": 1.6041747671367639, + "learning_rate": 1.3367326906539286e-05, + "loss": 0.896, + "step": 17359 + }, + { + "epoch": 0.41, + "grad_norm": 1.986594222193457, + "learning_rate": 1.3366608417057966e-05, + "loss": 0.8574, + "step": 17360 + }, + { + "epoch": 0.41, + "grad_norm": 1.4904561960422165, + "learning_rate": 1.3365889907975184e-05, + "loss": 0.8678, + "step": 17361 + }, + { + "epoch": 0.41, + "grad_norm": 1.7595318034991456, + "learning_rate": 1.3365171379295126e-05, + "loss": 0.8273, + "step": 17362 + }, + { + "epoch": 0.41, + "grad_norm": 1.5341307745644879, + "learning_rate": 1.3364452831021972e-05, + "loss": 0.9003, + "step": 17363 + }, + { + "epoch": 0.41, + "grad_norm": 1.707688264872562, + "learning_rate": 1.3363734263159911e-05, + "loss": 0.8793, + "step": 17364 + }, + { + "epoch": 0.41, + "grad_norm": 1.7642424783575552, + "learning_rate": 1.3363015675713124e-05, + "loss": 0.9487, + "step": 17365 + }, + { + "epoch": 0.41, + "grad_norm": 1.7320004561331908, + "learning_rate": 1.3362297068685794e-05, + "loss": 0.9621, + "step": 17366 + }, + { + "epoch": 0.41, + "grad_norm": 2.4579711902051407, + "learning_rate": 1.3361578442082107e-05, + "loss": 0.9346, + "step": 17367 + }, + { + "epoch": 0.41, + "grad_norm": 1.597373041591722, + "learning_rate": 1.3360859795906244e-05, + "loss": 0.7793, + "step": 17368 + }, + { + "epoch": 0.41, + "grad_norm": 0.7968145619583376, + "learning_rate": 1.3360141130162394e-05, + "loss": 0.7791, + "step": 17369 + }, + { + "epoch": 0.41, + "grad_norm": 1.649570285474899, + "learning_rate": 1.3359422444854738e-05, + "loss": 0.7838, + "step": 17370 + }, + { + "epoch": 0.41, + "grad_norm": 1.52605336704452, + "learning_rate": 1.3358703739987459e-05, + "loss": 0.9817, + "step": 17371 + }, + { + "epoch": 0.41, + "grad_norm": 1.5324124217402733, + "learning_rate": 1.3357985015564744e-05, + "loss": 1.0174, + "step": 17372 + }, + { + "epoch": 0.41, + "grad_norm": 1.4979078646126234, + "learning_rate": 1.335726627159078e-05, + "loss": 0.9033, + "step": 17373 + }, + { + "epoch": 0.41, + "grad_norm": 1.944881394581637, + "learning_rate": 1.3356547508069745e-05, + "loss": 1.0472, + "step": 17374 + }, + { + "epoch": 0.41, + "grad_norm": 2.910108742050126, + "learning_rate": 1.335582872500583e-05, + "loss": 0.7797, + "step": 17375 + }, + { + "epoch": 0.41, + "grad_norm": 1.5922130863340913, + "learning_rate": 1.3355109922403218e-05, + "loss": 0.8274, + "step": 17376 + }, + { + "epoch": 0.41, + "grad_norm": 1.5028132292997731, + "learning_rate": 1.3354391100266096e-05, + "loss": 0.8019, + "step": 17377 + }, + { + "epoch": 0.41, + "grad_norm": 1.613630627386991, + "learning_rate": 1.335367225859864e-05, + "loss": 0.8744, + "step": 17378 + }, + { + "epoch": 0.41, + "grad_norm": 1.5715037848230493, + "learning_rate": 1.3352953397405049e-05, + "loss": 0.8668, + "step": 17379 + }, + { + "epoch": 0.41, + "grad_norm": 1.899390215619828, + "learning_rate": 1.3352234516689497e-05, + "loss": 0.9544, + "step": 17380 + }, + { + "epoch": 0.41, + "grad_norm": 1.5890120686306795, + "learning_rate": 1.3351515616456178e-05, + "loss": 0.8789, + "step": 17381 + }, + { + "epoch": 0.41, + "grad_norm": 1.8837115606229686, + "learning_rate": 1.3350796696709272e-05, + "loss": 0.9368, + "step": 17382 + }, + { + "epoch": 0.41, + "grad_norm": 1.6268173329757945, + "learning_rate": 1.3350077757452969e-05, + "loss": 0.9137, + "step": 17383 + }, + { + "epoch": 0.41, + "grad_norm": 1.8464416623818136, + "learning_rate": 1.334935879869145e-05, + "loss": 0.8582, + "step": 17384 + }, + { + "epoch": 0.41, + "grad_norm": 1.982636761793019, + "learning_rate": 1.3348639820428906e-05, + "loss": 0.8317, + "step": 17385 + }, + { + "epoch": 0.41, + "grad_norm": 1.5344960617916785, + "learning_rate": 1.3347920822669518e-05, + "loss": 0.8249, + "step": 17386 + }, + { + "epoch": 0.41, + "grad_norm": 1.702498419178236, + "learning_rate": 1.3347201805417476e-05, + "loss": 0.9291, + "step": 17387 + }, + { + "epoch": 0.41, + "grad_norm": 1.5224592060204056, + "learning_rate": 1.3346482768676968e-05, + "loss": 0.9726, + "step": 17388 + }, + { + "epoch": 0.41, + "grad_norm": 1.5416355215260893, + "learning_rate": 1.3345763712452174e-05, + "loss": 0.8516, + "step": 17389 + }, + { + "epoch": 0.41, + "grad_norm": 1.5181352574282938, + "learning_rate": 1.3345044636747288e-05, + "loss": 0.9154, + "step": 17390 + }, + { + "epoch": 0.41, + "grad_norm": 1.5753444087907496, + "learning_rate": 1.3344325541566492e-05, + "loss": 0.9098, + "step": 17391 + }, + { + "epoch": 0.41, + "grad_norm": 1.6515471946080762, + "learning_rate": 1.334360642691397e-05, + "loss": 0.9952, + "step": 17392 + }, + { + "epoch": 0.41, + "grad_norm": 1.6333542063803674, + "learning_rate": 1.3342887292793918e-05, + "loss": 0.8919, + "step": 17393 + }, + { + "epoch": 0.41, + "grad_norm": 2.1218740317732387, + "learning_rate": 1.3342168139210517e-05, + "loss": 0.8776, + "step": 17394 + }, + { + "epoch": 0.41, + "grad_norm": 2.1933087315916304, + "learning_rate": 1.3341448966167954e-05, + "loss": 0.8084, + "step": 17395 + }, + { + "epoch": 0.41, + "grad_norm": 1.5152126622499007, + "learning_rate": 1.3340729773670416e-05, + "loss": 0.8256, + "step": 17396 + }, + { + "epoch": 0.41, + "grad_norm": 0.7773894906701502, + "learning_rate": 1.3340010561722093e-05, + "loss": 0.7701, + "step": 17397 + }, + { + "epoch": 0.41, + "grad_norm": 1.8716679721458362, + "learning_rate": 1.3339291330327172e-05, + "loss": 0.87, + "step": 17398 + }, + { + "epoch": 0.41, + "grad_norm": 1.5342046043914919, + "learning_rate": 1.3338572079489835e-05, + "loss": 0.9235, + "step": 17399 + }, + { + "epoch": 0.41, + "grad_norm": 1.5145971153980864, + "learning_rate": 1.3337852809214278e-05, + "loss": 0.8258, + "step": 17400 + }, + { + "epoch": 0.41, + "grad_norm": 1.7690755735228179, + "learning_rate": 1.3337133519504685e-05, + "loss": 0.9057, + "step": 17401 + }, + { + "epoch": 0.41, + "grad_norm": 1.6691683477514205, + "learning_rate": 1.3336414210365245e-05, + "loss": 0.7388, + "step": 17402 + }, + { + "epoch": 0.41, + "grad_norm": 1.5506813021387127, + "learning_rate": 1.3335694881800145e-05, + "loss": 0.9126, + "step": 17403 + }, + { + "epoch": 0.41, + "grad_norm": 1.8210405879513145, + "learning_rate": 1.3334975533813572e-05, + "loss": 0.9241, + "step": 17404 + }, + { + "epoch": 0.41, + "grad_norm": 1.5009383756024628, + "learning_rate": 1.3334256166409717e-05, + "loss": 0.6694, + "step": 17405 + }, + { + "epoch": 0.41, + "grad_norm": 1.5465401036115762, + "learning_rate": 1.3333536779592766e-05, + "loss": 0.8381, + "step": 17406 + }, + { + "epoch": 0.41, + "grad_norm": 1.8182891247514443, + "learning_rate": 1.333281737336691e-05, + "loss": 0.888, + "step": 17407 + }, + { + "epoch": 0.41, + "grad_norm": 0.826483835778875, + "learning_rate": 1.3332097947736333e-05, + "loss": 0.6919, + "step": 17408 + }, + { + "epoch": 0.41, + "grad_norm": 1.6352264405941415, + "learning_rate": 1.333137850270523e-05, + "loss": 0.8975, + "step": 17409 + }, + { + "epoch": 0.41, + "grad_norm": 2.4641658131128734, + "learning_rate": 1.3330659038277785e-05, + "loss": 0.8929, + "step": 17410 + }, + { + "epoch": 0.41, + "grad_norm": 0.7888904177487686, + "learning_rate": 1.3329939554458188e-05, + "loss": 0.6752, + "step": 17411 + }, + { + "epoch": 0.41, + "grad_norm": 1.4740872036283053, + "learning_rate": 1.332922005125063e-05, + "loss": 0.8023, + "step": 17412 + }, + { + "epoch": 0.41, + "grad_norm": 1.790234208460739, + "learning_rate": 1.3328500528659301e-05, + "loss": 0.7858, + "step": 17413 + }, + { + "epoch": 0.41, + "grad_norm": 1.6374733068660168, + "learning_rate": 1.3327780986688384e-05, + "loss": 0.8056, + "step": 17414 + }, + { + "epoch": 0.41, + "grad_norm": 1.5257135096364367, + "learning_rate": 1.3327061425342073e-05, + "loss": 0.8904, + "step": 17415 + }, + { + "epoch": 0.41, + "grad_norm": 1.7814093533403912, + "learning_rate": 1.332634184462456e-05, + "loss": 0.8729, + "step": 17416 + }, + { + "epoch": 0.41, + "grad_norm": 1.591492083943541, + "learning_rate": 1.3325622244540028e-05, + "loss": 0.8821, + "step": 17417 + }, + { + "epoch": 0.41, + "grad_norm": 1.6841779047955352, + "learning_rate": 1.3324902625092672e-05, + "loss": 0.845, + "step": 17418 + }, + { + "epoch": 0.41, + "grad_norm": 2.251627608042936, + "learning_rate": 1.3324182986286683e-05, + "loss": 0.8363, + "step": 17419 + }, + { + "epoch": 0.41, + "grad_norm": 1.5316564538383908, + "learning_rate": 1.3323463328126245e-05, + "loss": 0.846, + "step": 17420 + }, + { + "epoch": 0.41, + "grad_norm": 1.4267509549303812, + "learning_rate": 1.3322743650615552e-05, + "loss": 0.7506, + "step": 17421 + }, + { + "epoch": 0.41, + "grad_norm": 1.7444762625032852, + "learning_rate": 1.3322023953758794e-05, + "loss": 0.9905, + "step": 17422 + }, + { + "epoch": 0.41, + "grad_norm": 4.110565120571417, + "learning_rate": 1.332130423756016e-05, + "loss": 0.9606, + "step": 17423 + }, + { + "epoch": 0.41, + "grad_norm": 1.7177634021697403, + "learning_rate": 1.3320584502023841e-05, + "loss": 0.9977, + "step": 17424 + }, + { + "epoch": 0.41, + "grad_norm": 1.851844297238669, + "learning_rate": 1.3319864747154028e-05, + "loss": 0.86, + "step": 17425 + }, + { + "epoch": 0.41, + "grad_norm": 1.7706958757796387, + "learning_rate": 1.3319144972954915e-05, + "loss": 0.8572, + "step": 17426 + }, + { + "epoch": 0.41, + "grad_norm": 1.7176007317129607, + "learning_rate": 1.3318425179430683e-05, + "loss": 0.8533, + "step": 17427 + }, + { + "epoch": 0.41, + "grad_norm": 1.6143243273891161, + "learning_rate": 1.3317705366585534e-05, + "loss": 0.8282, + "step": 17428 + }, + { + "epoch": 0.41, + "grad_norm": 1.7256310175872285, + "learning_rate": 1.331698553442365e-05, + "loss": 0.7375, + "step": 17429 + }, + { + "epoch": 0.41, + "grad_norm": 2.0460095052939353, + "learning_rate": 1.331626568294923e-05, + "loss": 0.7024, + "step": 17430 + }, + { + "epoch": 0.41, + "grad_norm": 1.6159115720974038, + "learning_rate": 1.3315545812166457e-05, + "loss": 0.8573, + "step": 17431 + }, + { + "epoch": 0.41, + "grad_norm": 1.6311379315066108, + "learning_rate": 1.3314825922079531e-05, + "loss": 0.9417, + "step": 17432 + }, + { + "epoch": 0.41, + "grad_norm": 1.6894871279879213, + "learning_rate": 1.3314106012692633e-05, + "loss": 0.915, + "step": 17433 + }, + { + "epoch": 0.41, + "grad_norm": 1.5589998935311746, + "learning_rate": 1.331338608400997e-05, + "loss": 0.8177, + "step": 17434 + }, + { + "epoch": 0.41, + "grad_norm": 1.4085357808346994, + "learning_rate": 1.3312666136035716e-05, + "loss": 0.8743, + "step": 17435 + }, + { + "epoch": 0.41, + "grad_norm": 1.5935154231932769, + "learning_rate": 1.3311946168774072e-05, + "loss": 0.8814, + "step": 17436 + }, + { + "epoch": 0.41, + "grad_norm": 1.5747393442505457, + "learning_rate": 1.3311226182229233e-05, + "loss": 0.9719, + "step": 17437 + }, + { + "epoch": 0.41, + "grad_norm": 1.4612445513806973, + "learning_rate": 1.3310506176405383e-05, + "loss": 1.0076, + "step": 17438 + }, + { + "epoch": 0.41, + "grad_norm": 1.6497510211325597, + "learning_rate": 1.3309786151306721e-05, + "loss": 0.9926, + "step": 17439 + }, + { + "epoch": 0.41, + "grad_norm": 1.9799882272016824, + "learning_rate": 1.3309066106937432e-05, + "loss": 0.9238, + "step": 17440 + }, + { + "epoch": 0.41, + "grad_norm": 1.660939592070548, + "learning_rate": 1.3308346043301717e-05, + "loss": 0.9249, + "step": 17441 + }, + { + "epoch": 0.41, + "grad_norm": 3.4232100150179536, + "learning_rate": 1.3307625960403763e-05, + "loss": 0.7619, + "step": 17442 + }, + { + "epoch": 0.41, + "grad_norm": 1.8898302821519313, + "learning_rate": 1.330690585824776e-05, + "loss": 0.854, + "step": 17443 + }, + { + "epoch": 0.41, + "grad_norm": 1.6856191400249945, + "learning_rate": 1.3306185736837908e-05, + "loss": 1.0827, + "step": 17444 + }, + { + "epoch": 0.41, + "grad_norm": 1.7950699164228139, + "learning_rate": 1.3305465596178395e-05, + "loss": 0.8529, + "step": 17445 + }, + { + "epoch": 0.41, + "grad_norm": 1.3829851680428933, + "learning_rate": 1.3304745436273415e-05, + "loss": 0.8426, + "step": 17446 + }, + { + "epoch": 0.41, + "grad_norm": 1.6559408352218106, + "learning_rate": 1.330402525712716e-05, + "loss": 0.8349, + "step": 17447 + }, + { + "epoch": 0.41, + "grad_norm": 1.8115535351214276, + "learning_rate": 1.3303305058743823e-05, + "loss": 0.9146, + "step": 17448 + }, + { + "epoch": 0.41, + "grad_norm": 1.6934807402821659, + "learning_rate": 1.33025848411276e-05, + "loss": 0.8935, + "step": 17449 + }, + { + "epoch": 0.41, + "grad_norm": 3.8774858934199803, + "learning_rate": 1.330186460428268e-05, + "loss": 0.8869, + "step": 17450 + }, + { + "epoch": 0.41, + "grad_norm": 0.8033609355112367, + "learning_rate": 1.3301144348213262e-05, + "loss": 0.7073, + "step": 17451 + }, + { + "epoch": 0.41, + "grad_norm": 1.5610571456226396, + "learning_rate": 1.3300424072923534e-05, + "loss": 0.8875, + "step": 17452 + }, + { + "epoch": 0.41, + "grad_norm": 2.0317804249065685, + "learning_rate": 1.3299703778417694e-05, + "loss": 0.8285, + "step": 17453 + }, + { + "epoch": 0.41, + "grad_norm": 1.7740453797377442, + "learning_rate": 1.3298983464699933e-05, + "loss": 0.8954, + "step": 17454 + }, + { + "epoch": 0.41, + "grad_norm": 1.6233236761137981, + "learning_rate": 1.3298263131774445e-05, + "loss": 0.8424, + "step": 17455 + }, + { + "epoch": 0.41, + "grad_norm": 1.4855966580136317, + "learning_rate": 1.3297542779645428e-05, + "loss": 0.8608, + "step": 17456 + }, + { + "epoch": 0.41, + "grad_norm": 1.7252732378405284, + "learning_rate": 1.3296822408317067e-05, + "loss": 0.8765, + "step": 17457 + }, + { + "epoch": 0.41, + "grad_norm": 1.7959837299157504, + "learning_rate": 1.3296102017793569e-05, + "loss": 0.8982, + "step": 17458 + }, + { + "epoch": 0.41, + "grad_norm": 1.639273493662068, + "learning_rate": 1.3295381608079116e-05, + "loss": 0.8898, + "step": 17459 + }, + { + "epoch": 0.41, + "grad_norm": 2.0791519241753336, + "learning_rate": 1.3294661179177912e-05, + "loss": 0.8757, + "step": 17460 + }, + { + "epoch": 0.41, + "grad_norm": 2.8009845782538267, + "learning_rate": 1.3293940731094143e-05, + "loss": 0.7569, + "step": 17461 + }, + { + "epoch": 0.41, + "grad_norm": 1.9870383480742897, + "learning_rate": 1.3293220263832015e-05, + "loss": 0.9675, + "step": 17462 + }, + { + "epoch": 0.41, + "grad_norm": 1.6123671575352805, + "learning_rate": 1.3292499777395711e-05, + "loss": 0.8286, + "step": 17463 + }, + { + "epoch": 0.41, + "grad_norm": 0.7564592001185513, + "learning_rate": 1.3291779271789433e-05, + "loss": 0.7352, + "step": 17464 + }, + { + "epoch": 0.41, + "grad_norm": 1.8263421587740487, + "learning_rate": 1.3291058747017373e-05, + "loss": 0.8267, + "step": 17465 + }, + { + "epoch": 0.41, + "grad_norm": 1.4876369867789485, + "learning_rate": 1.3290338203083728e-05, + "loss": 0.8246, + "step": 17466 + }, + { + "epoch": 0.41, + "grad_norm": 1.5916638113204362, + "learning_rate": 1.328961763999269e-05, + "loss": 0.8911, + "step": 17467 + }, + { + "epoch": 0.41, + "grad_norm": 1.7743012497099093, + "learning_rate": 1.3288897057748458e-05, + "loss": 0.8803, + "step": 17468 + }, + { + "epoch": 0.41, + "grad_norm": 1.5438728546433338, + "learning_rate": 1.3288176456355226e-05, + "loss": 0.9985, + "step": 17469 + }, + { + "epoch": 0.41, + "grad_norm": 1.6871799897103859, + "learning_rate": 1.3287455835817189e-05, + "loss": 0.8819, + "step": 17470 + }, + { + "epoch": 0.41, + "grad_norm": 1.4489926350331215, + "learning_rate": 1.3286735196138544e-05, + "loss": 0.8001, + "step": 17471 + }, + { + "epoch": 0.41, + "grad_norm": 1.6009538698859782, + "learning_rate": 1.3286014537323486e-05, + "loss": 0.8018, + "step": 17472 + }, + { + "epoch": 0.41, + "grad_norm": 1.5312963249567055, + "learning_rate": 1.3285293859376212e-05, + "loss": 0.8647, + "step": 17473 + }, + { + "epoch": 0.41, + "grad_norm": 1.5270392493265512, + "learning_rate": 1.3284573162300916e-05, + "loss": 0.9542, + "step": 17474 + }, + { + "epoch": 0.41, + "grad_norm": 1.7351097936803244, + "learning_rate": 1.3283852446101794e-05, + "loss": 0.8809, + "step": 17475 + }, + { + "epoch": 0.41, + "grad_norm": 1.4608138208044918, + "learning_rate": 1.3283131710783046e-05, + "loss": 0.954, + "step": 17476 + }, + { + "epoch": 0.41, + "grad_norm": 1.7999084468490956, + "learning_rate": 1.3282410956348865e-05, + "loss": 0.8676, + "step": 17477 + }, + { + "epoch": 0.41, + "grad_norm": 1.6102343981334615, + "learning_rate": 1.3281690182803448e-05, + "loss": 0.8405, + "step": 17478 + }, + { + "epoch": 0.41, + "grad_norm": 1.4787676222776556, + "learning_rate": 1.3280969390150993e-05, + "loss": 0.995, + "step": 17479 + }, + { + "epoch": 0.41, + "grad_norm": 1.7300735824943165, + "learning_rate": 1.328024857839569e-05, + "loss": 0.7978, + "step": 17480 + }, + { + "epoch": 0.41, + "grad_norm": 1.5934144467702678, + "learning_rate": 1.327952774754175e-05, + "loss": 0.8365, + "step": 17481 + }, + { + "epoch": 0.41, + "grad_norm": 1.6639444971234278, + "learning_rate": 1.3278806897593352e-05, + "loss": 0.8567, + "step": 17482 + }, + { + "epoch": 0.41, + "grad_norm": 1.6997696609822448, + "learning_rate": 1.3278086028554711e-05, + "loss": 0.9606, + "step": 17483 + }, + { + "epoch": 0.41, + "grad_norm": 1.6195357290212102, + "learning_rate": 1.327736514043001e-05, + "loss": 1.0061, + "step": 17484 + }, + { + "epoch": 0.41, + "grad_norm": 1.62392814037138, + "learning_rate": 1.327664423322345e-05, + "loss": 0.8782, + "step": 17485 + }, + { + "epoch": 0.41, + "grad_norm": 1.7293045971845624, + "learning_rate": 1.3275923306939235e-05, + "loss": 0.9538, + "step": 17486 + }, + { + "epoch": 0.41, + "grad_norm": 1.7040422470240952, + "learning_rate": 1.3275202361581552e-05, + "loss": 0.7325, + "step": 17487 + }, + { + "epoch": 0.41, + "grad_norm": 1.671995287838064, + "learning_rate": 1.327448139715461e-05, + "loss": 0.8552, + "step": 17488 + }, + { + "epoch": 0.41, + "grad_norm": 1.5770511104644045, + "learning_rate": 1.3273760413662596e-05, + "loss": 0.8325, + "step": 17489 + }, + { + "epoch": 0.41, + "grad_norm": 1.8392653950180171, + "learning_rate": 1.3273039411109714e-05, + "loss": 0.808, + "step": 17490 + }, + { + "epoch": 0.41, + "grad_norm": 1.7065007165322426, + "learning_rate": 1.3272318389500158e-05, + "loss": 0.8649, + "step": 17491 + }, + { + "epoch": 0.41, + "grad_norm": 1.8806856917653247, + "learning_rate": 1.3271597348838133e-05, + "loss": 0.9617, + "step": 17492 + }, + { + "epoch": 0.41, + "grad_norm": 1.6004542493302076, + "learning_rate": 1.327087628912783e-05, + "loss": 0.9855, + "step": 17493 + }, + { + "epoch": 0.41, + "grad_norm": 1.4622825477567125, + "learning_rate": 1.327015521037345e-05, + "loss": 0.8522, + "step": 17494 + }, + { + "epoch": 0.41, + "grad_norm": 1.671079490698955, + "learning_rate": 1.326943411257919e-05, + "loss": 0.8286, + "step": 17495 + }, + { + "epoch": 0.41, + "grad_norm": 1.5191647549909033, + "learning_rate": 1.3268712995749251e-05, + "loss": 0.9095, + "step": 17496 + }, + { + "epoch": 0.41, + "grad_norm": 1.5503592907806536, + "learning_rate": 1.3267991859887827e-05, + "loss": 0.8301, + "step": 17497 + }, + { + "epoch": 0.41, + "grad_norm": 1.6253379398885446, + "learning_rate": 1.3267270704999122e-05, + "loss": 0.9095, + "step": 17498 + }, + { + "epoch": 0.41, + "grad_norm": 1.526251136658383, + "learning_rate": 1.3266549531087333e-05, + "loss": 0.8683, + "step": 17499 + }, + { + "epoch": 0.41, + "grad_norm": 1.8001414261871371, + "learning_rate": 1.3265828338156658e-05, + "loss": 0.8983, + "step": 17500 + }, + { + "epoch": 0.41, + "grad_norm": 5.633157789132308, + "learning_rate": 1.3265107126211296e-05, + "loss": 0.9254, + "step": 17501 + }, + { + "epoch": 0.41, + "grad_norm": 1.8646807980985853, + "learning_rate": 1.326438589525545e-05, + "loss": 0.855, + "step": 17502 + }, + { + "epoch": 0.41, + "grad_norm": 2.3613697921861623, + "learning_rate": 1.326366464529331e-05, + "loss": 0.7683, + "step": 17503 + }, + { + "epoch": 0.41, + "grad_norm": 0.7817322967308865, + "learning_rate": 1.3262943376329085e-05, + "loss": 0.6916, + "step": 17504 + }, + { + "epoch": 0.41, + "grad_norm": 2.747813796985393, + "learning_rate": 1.326222208836697e-05, + "loss": 0.8228, + "step": 17505 + }, + { + "epoch": 0.41, + "grad_norm": 1.7783999276138978, + "learning_rate": 1.3261500781411165e-05, + "loss": 0.8464, + "step": 17506 + }, + { + "epoch": 0.41, + "grad_norm": 1.8272770634754723, + "learning_rate": 1.3260779455465871e-05, + "loss": 0.8281, + "step": 17507 + }, + { + "epoch": 0.41, + "grad_norm": 1.3854730005983276, + "learning_rate": 1.3260058110535283e-05, + "loss": 0.8228, + "step": 17508 + }, + { + "epoch": 0.41, + "grad_norm": 0.8304489641118084, + "learning_rate": 1.325933674662361e-05, + "loss": 0.7478, + "step": 17509 + }, + { + "epoch": 0.41, + "grad_norm": 1.7037228477715065, + "learning_rate": 1.3258615363735041e-05, + "loss": 0.819, + "step": 17510 + }, + { + "epoch": 0.41, + "grad_norm": 1.6993755761828666, + "learning_rate": 1.3257893961873787e-05, + "loss": 0.8666, + "step": 17511 + }, + { + "epoch": 0.41, + "grad_norm": 1.6529396901081008, + "learning_rate": 1.3257172541044039e-05, + "loss": 0.7738, + "step": 17512 + }, + { + "epoch": 0.41, + "grad_norm": 1.7655095427368894, + "learning_rate": 1.3256451101250002e-05, + "loss": 0.7484, + "step": 17513 + }, + { + "epoch": 0.41, + "grad_norm": 1.618520986270851, + "learning_rate": 1.3255729642495878e-05, + "loss": 0.9396, + "step": 17514 + }, + { + "epoch": 0.41, + "grad_norm": 1.373291464148554, + "learning_rate": 1.3255008164785863e-05, + "loss": 0.9284, + "step": 17515 + }, + { + "epoch": 0.41, + "grad_norm": 1.9121623327804327, + "learning_rate": 1.325428666812416e-05, + "loss": 0.8368, + "step": 17516 + }, + { + "epoch": 0.41, + "grad_norm": 1.8009050632738064, + "learning_rate": 1.3253565152514971e-05, + "loss": 0.9561, + "step": 17517 + }, + { + "epoch": 0.41, + "grad_norm": 1.5178077709371987, + "learning_rate": 1.3252843617962494e-05, + "loss": 0.9957, + "step": 17518 + }, + { + "epoch": 0.41, + "grad_norm": 1.5576003518809078, + "learning_rate": 1.3252122064470934e-05, + "loss": 0.9445, + "step": 17519 + }, + { + "epoch": 0.41, + "grad_norm": 1.7841909620075487, + "learning_rate": 1.3251400492044487e-05, + "loss": 0.7889, + "step": 17520 + }, + { + "epoch": 0.41, + "grad_norm": 1.9275818071301491, + "learning_rate": 1.3250678900687356e-05, + "loss": 0.8964, + "step": 17521 + }, + { + "epoch": 0.41, + "grad_norm": 1.6746045051537102, + "learning_rate": 1.3249957290403748e-05, + "loss": 0.8425, + "step": 17522 + }, + { + "epoch": 0.41, + "grad_norm": 1.4202445212667607, + "learning_rate": 1.3249235661197857e-05, + "loss": 0.9606, + "step": 17523 + }, + { + "epoch": 0.41, + "grad_norm": 1.7275623036738277, + "learning_rate": 1.3248514013073886e-05, + "loss": 0.9084, + "step": 17524 + }, + { + "epoch": 0.41, + "grad_norm": 1.887006299396486, + "learning_rate": 1.3247792346036039e-05, + "loss": 0.9046, + "step": 17525 + }, + { + "epoch": 0.41, + "grad_norm": 2.107752381752136, + "learning_rate": 1.3247070660088519e-05, + "loss": 0.8883, + "step": 17526 + }, + { + "epoch": 0.41, + "grad_norm": 1.6138825994462251, + "learning_rate": 1.3246348955235521e-05, + "loss": 0.8541, + "step": 17527 + }, + { + "epoch": 0.41, + "grad_norm": 1.5090973237857577, + "learning_rate": 1.3245627231481258e-05, + "loss": 0.7948, + "step": 17528 + }, + { + "epoch": 0.41, + "grad_norm": 1.7468124405936336, + "learning_rate": 1.324490548882992e-05, + "loss": 0.7855, + "step": 17529 + }, + { + "epoch": 0.41, + "grad_norm": 1.7138195163327075, + "learning_rate": 1.3244183727285717e-05, + "loss": 0.8186, + "step": 17530 + }, + { + "epoch": 0.41, + "grad_norm": 1.4600068474053072, + "learning_rate": 1.3243461946852849e-05, + "loss": 0.9551, + "step": 17531 + }, + { + "epoch": 0.41, + "grad_norm": 1.6014383448729606, + "learning_rate": 1.324274014753552e-05, + "loss": 0.8959, + "step": 17532 + }, + { + "epoch": 0.41, + "grad_norm": 2.02323321746498, + "learning_rate": 1.3242018329337928e-05, + "loss": 0.7187, + "step": 17533 + }, + { + "epoch": 0.41, + "grad_norm": 1.7425560801568436, + "learning_rate": 1.3241296492264282e-05, + "loss": 0.8541, + "step": 17534 + }, + { + "epoch": 0.41, + "grad_norm": 0.7885587309860612, + "learning_rate": 1.324057463631878e-05, + "loss": 0.7249, + "step": 17535 + }, + { + "epoch": 0.41, + "grad_norm": 1.8134787091004707, + "learning_rate": 1.3239852761505627e-05, + "loss": 0.9321, + "step": 17536 + }, + { + "epoch": 0.41, + "grad_norm": 1.5269333625046069, + "learning_rate": 1.3239130867829028e-05, + "loss": 0.9187, + "step": 17537 + }, + { + "epoch": 0.41, + "grad_norm": 1.8026355979530686, + "learning_rate": 1.3238408955293179e-05, + "loss": 0.8912, + "step": 17538 + }, + { + "epoch": 0.41, + "grad_norm": 1.7779932155457951, + "learning_rate": 1.3237687023902292e-05, + "loss": 0.821, + "step": 17539 + }, + { + "epoch": 0.41, + "grad_norm": 1.7401649211246264, + "learning_rate": 1.3236965073660562e-05, + "loss": 0.9286, + "step": 17540 + }, + { + "epoch": 0.41, + "grad_norm": 1.5845688871482815, + "learning_rate": 1.3236243104572202e-05, + "loss": 0.9301, + "step": 17541 + }, + { + "epoch": 0.41, + "grad_norm": 1.6702764152698177, + "learning_rate": 1.3235521116641405e-05, + "loss": 0.8126, + "step": 17542 + }, + { + "epoch": 0.41, + "grad_norm": 1.6092042852322948, + "learning_rate": 1.3234799109872382e-05, + "loss": 0.9054, + "step": 17543 + }, + { + "epoch": 0.41, + "grad_norm": 1.7330861409190992, + "learning_rate": 1.3234077084269334e-05, + "loss": 0.9215, + "step": 17544 + }, + { + "epoch": 0.41, + "grad_norm": 1.9216949471650422, + "learning_rate": 1.3233355039836466e-05, + "loss": 0.8682, + "step": 17545 + }, + { + "epoch": 0.41, + "grad_norm": 1.7144329676363343, + "learning_rate": 1.323263297657798e-05, + "loss": 0.9964, + "step": 17546 + }, + { + "epoch": 0.41, + "grad_norm": 1.5821291891183653, + "learning_rate": 1.3231910894498082e-05, + "loss": 0.7789, + "step": 17547 + }, + { + "epoch": 0.41, + "grad_norm": 1.6309807928152689, + "learning_rate": 1.3231188793600976e-05, + "loss": 0.9762, + "step": 17548 + }, + { + "epoch": 0.41, + "grad_norm": 0.7717120366598337, + "learning_rate": 1.3230466673890865e-05, + "loss": 0.732, + "step": 17549 + }, + { + "epoch": 0.41, + "grad_norm": 1.6858801357915407, + "learning_rate": 1.3229744535371953e-05, + "loss": 0.8505, + "step": 17550 + }, + { + "epoch": 0.41, + "grad_norm": 1.956260242391665, + "learning_rate": 1.3229022378048448e-05, + "loss": 0.8735, + "step": 17551 + }, + { + "epoch": 0.41, + "grad_norm": 1.9561714482644519, + "learning_rate": 1.322830020192455e-05, + "loss": 1.021, + "step": 17552 + }, + { + "epoch": 0.41, + "grad_norm": 4.692203977003499, + "learning_rate": 1.3227578007004471e-05, + "loss": 0.8548, + "step": 17553 + }, + { + "epoch": 0.41, + "grad_norm": 1.6892736501193328, + "learning_rate": 1.3226855793292406e-05, + "loss": 0.7572, + "step": 17554 + }, + { + "epoch": 0.41, + "grad_norm": 1.7222633421595186, + "learning_rate": 1.322613356079257e-05, + "loss": 0.931, + "step": 17555 + }, + { + "epoch": 0.41, + "grad_norm": 1.539640276922755, + "learning_rate": 1.3225411309509158e-05, + "loss": 0.8458, + "step": 17556 + }, + { + "epoch": 0.41, + "grad_norm": 1.5309287262082258, + "learning_rate": 1.322468903944638e-05, + "loss": 1.0398, + "step": 17557 + }, + { + "epoch": 0.41, + "grad_norm": 1.586749851020259, + "learning_rate": 1.3223966750608447e-05, + "loss": 0.8195, + "step": 17558 + }, + { + "epoch": 0.41, + "grad_norm": 1.5162822659928317, + "learning_rate": 1.3223244442999554e-05, + "loss": 0.7657, + "step": 17559 + }, + { + "epoch": 0.41, + "grad_norm": 1.5226705186405851, + "learning_rate": 1.3222522116623915e-05, + "loss": 0.8109, + "step": 17560 + }, + { + "epoch": 0.41, + "grad_norm": 3.805681200831019, + "learning_rate": 1.3221799771485728e-05, + "loss": 0.7865, + "step": 17561 + }, + { + "epoch": 0.41, + "grad_norm": 1.7010265129063316, + "learning_rate": 1.3221077407589207e-05, + "loss": 0.8818, + "step": 17562 + }, + { + "epoch": 0.41, + "grad_norm": 1.564199633329986, + "learning_rate": 1.3220355024938549e-05, + "loss": 0.9136, + "step": 17563 + }, + { + "epoch": 0.41, + "grad_norm": 1.9092478345912474, + "learning_rate": 1.3219632623537968e-05, + "loss": 0.9045, + "step": 17564 + }, + { + "epoch": 0.41, + "grad_norm": 1.9855200398565798, + "learning_rate": 1.3218910203391666e-05, + "loss": 0.872, + "step": 17565 + }, + { + "epoch": 0.41, + "grad_norm": 1.4490990792356555, + "learning_rate": 1.321818776450385e-05, + "loss": 0.9643, + "step": 17566 + }, + { + "epoch": 0.41, + "grad_norm": 1.3353331976604552, + "learning_rate": 1.3217465306878725e-05, + "loss": 0.82, + "step": 17567 + }, + { + "epoch": 0.41, + "grad_norm": 0.7680918872866218, + "learning_rate": 1.3216742830520497e-05, + "loss": 0.7201, + "step": 17568 + }, + { + "epoch": 0.41, + "grad_norm": 1.890705360916382, + "learning_rate": 1.3216020335433375e-05, + "loss": 0.7582, + "step": 17569 + }, + { + "epoch": 0.41, + "grad_norm": 2.326819129703437, + "learning_rate": 1.3215297821621565e-05, + "loss": 0.88, + "step": 17570 + }, + { + "epoch": 0.41, + "grad_norm": 1.5278815748408652, + "learning_rate": 1.3214575289089272e-05, + "loss": 0.9309, + "step": 17571 + }, + { + "epoch": 0.41, + "grad_norm": 1.642663541763193, + "learning_rate": 1.3213852737840705e-05, + "loss": 0.9736, + "step": 17572 + }, + { + "epoch": 0.41, + "grad_norm": 1.6792542828677048, + "learning_rate": 1.3213130167880071e-05, + "loss": 0.8995, + "step": 17573 + }, + { + "epoch": 0.41, + "grad_norm": 0.7948893440011067, + "learning_rate": 1.3212407579211575e-05, + "loss": 0.7593, + "step": 17574 + }, + { + "epoch": 0.41, + "grad_norm": 1.5058888871466622, + "learning_rate": 1.3211684971839422e-05, + "loss": 0.8815, + "step": 17575 + }, + { + "epoch": 0.41, + "grad_norm": 1.780832800699716, + "learning_rate": 1.3210962345767826e-05, + "loss": 0.9075, + "step": 17576 + }, + { + "epoch": 0.41, + "grad_norm": 1.6826516634004485, + "learning_rate": 1.3210239701000989e-05, + "loss": 0.9194, + "step": 17577 + }, + { + "epoch": 0.41, + "grad_norm": 1.4437798378349034, + "learning_rate": 1.320951703754312e-05, + "loss": 0.9041, + "step": 17578 + }, + { + "epoch": 0.41, + "grad_norm": 0.7356590796773376, + "learning_rate": 1.3208794355398431e-05, + "loss": 0.6996, + "step": 17579 + }, + { + "epoch": 0.41, + "grad_norm": 1.7115700888265517, + "learning_rate": 1.320807165457112e-05, + "loss": 1.0355, + "step": 17580 + }, + { + "epoch": 0.41, + "grad_norm": 1.5303261984926773, + "learning_rate": 1.3207348935065403e-05, + "loss": 0.882, + "step": 17581 + }, + { + "epoch": 0.41, + "grad_norm": 0.8414277353274513, + "learning_rate": 1.3206626196885481e-05, + "loss": 0.7779, + "step": 17582 + }, + { + "epoch": 0.41, + "grad_norm": 2.9327326996419343, + "learning_rate": 1.320590344003557e-05, + "loss": 0.9544, + "step": 17583 + }, + { + "epoch": 0.41, + "grad_norm": 1.4867593226569582, + "learning_rate": 1.3205180664519872e-05, + "loss": 0.8838, + "step": 17584 + }, + { + "epoch": 0.41, + "grad_norm": 0.7813643202362317, + "learning_rate": 1.3204457870342599e-05, + "loss": 0.751, + "step": 17585 + }, + { + "epoch": 0.41, + "grad_norm": 2.2431935024213474, + "learning_rate": 1.320373505750796e-05, + "loss": 0.8347, + "step": 17586 + }, + { + "epoch": 0.41, + "grad_norm": 2.3913852581713506, + "learning_rate": 1.3203012226020156e-05, + "loss": 0.926, + "step": 17587 + }, + { + "epoch": 0.41, + "grad_norm": 1.797606326664616, + "learning_rate": 1.3202289375883405e-05, + "loss": 0.945, + "step": 17588 + }, + { + "epoch": 0.41, + "grad_norm": 1.7833789448116177, + "learning_rate": 1.3201566507101908e-05, + "loss": 0.8755, + "step": 17589 + }, + { + "epoch": 0.41, + "grad_norm": 1.7689887292711204, + "learning_rate": 1.3200843619679882e-05, + "loss": 0.9996, + "step": 17590 + }, + { + "epoch": 0.41, + "grad_norm": 0.715576157233122, + "learning_rate": 1.3200120713621525e-05, + "loss": 0.7439, + "step": 17591 + }, + { + "epoch": 0.41, + "grad_norm": 1.581979126314403, + "learning_rate": 1.3199397788931057e-05, + "loss": 0.7857, + "step": 17592 + }, + { + "epoch": 0.41, + "grad_norm": 1.9017528316791148, + "learning_rate": 1.319867484561268e-05, + "loss": 1.0002, + "step": 17593 + }, + { + "epoch": 0.41, + "grad_norm": 1.5039425277553207, + "learning_rate": 1.3197951883670606e-05, + "loss": 0.9193, + "step": 17594 + }, + { + "epoch": 0.41, + "grad_norm": 1.7417464821690747, + "learning_rate": 1.3197228903109044e-05, + "loss": 0.9247, + "step": 17595 + }, + { + "epoch": 0.41, + "grad_norm": 1.522086345903614, + "learning_rate": 1.3196505903932203e-05, + "loss": 0.8676, + "step": 17596 + }, + { + "epoch": 0.41, + "grad_norm": 1.715419462622194, + "learning_rate": 1.3195782886144291e-05, + "loss": 0.8682, + "step": 17597 + }, + { + "epoch": 0.41, + "grad_norm": 1.8368258960676629, + "learning_rate": 1.3195059849749519e-05, + "loss": 1.015, + "step": 17598 + }, + { + "epoch": 0.41, + "grad_norm": 0.802716708608865, + "learning_rate": 1.3194336794752099e-05, + "loss": 0.7601, + "step": 17599 + }, + { + "epoch": 0.41, + "grad_norm": 1.9857810500422353, + "learning_rate": 1.3193613721156237e-05, + "loss": 0.7918, + "step": 17600 + }, + { + "epoch": 0.41, + "grad_norm": 1.7221038517678493, + "learning_rate": 1.3192890628966146e-05, + "loss": 0.9583, + "step": 17601 + }, + { + "epoch": 0.41, + "grad_norm": 1.541008795531506, + "learning_rate": 1.3192167518186036e-05, + "loss": 0.9528, + "step": 17602 + }, + { + "epoch": 0.41, + "grad_norm": 1.747706120743197, + "learning_rate": 1.3191444388820114e-05, + "loss": 0.7988, + "step": 17603 + }, + { + "epoch": 0.41, + "grad_norm": 2.7993052008454646, + "learning_rate": 1.3190721240872595e-05, + "loss": 0.9927, + "step": 17604 + }, + { + "epoch": 0.41, + "grad_norm": 1.6112122780886102, + "learning_rate": 1.3189998074347684e-05, + "loss": 0.8512, + "step": 17605 + }, + { + "epoch": 0.41, + "grad_norm": 1.5707802165124238, + "learning_rate": 1.3189274889249598e-05, + "loss": 0.9028, + "step": 17606 + }, + { + "epoch": 0.41, + "grad_norm": 1.657640948987155, + "learning_rate": 1.3188551685582542e-05, + "loss": 0.8396, + "step": 17607 + }, + { + "epoch": 0.41, + "grad_norm": 1.6063060825894449, + "learning_rate": 1.3187828463350725e-05, + "loss": 0.8477, + "step": 17608 + }, + { + "epoch": 0.41, + "grad_norm": 0.7610326380333429, + "learning_rate": 1.3187105222558368e-05, + "loss": 0.7662, + "step": 17609 + }, + { + "epoch": 0.41, + "grad_norm": 1.6749609005654147, + "learning_rate": 1.3186381963209666e-05, + "loss": 0.8628, + "step": 17610 + }, + { + "epoch": 0.41, + "grad_norm": 1.5591393868505037, + "learning_rate": 1.3185658685308848e-05, + "loss": 0.8999, + "step": 17611 + }, + { + "epoch": 0.41, + "grad_norm": 0.7581709295308663, + "learning_rate": 1.3184935388860111e-05, + "loss": 0.7511, + "step": 17612 + }, + { + "epoch": 0.41, + "grad_norm": 1.4556291122847607, + "learning_rate": 1.3184212073867678e-05, + "loss": 0.8064, + "step": 17613 + }, + { + "epoch": 0.41, + "grad_norm": 1.5696751345030495, + "learning_rate": 1.3183488740335748e-05, + "loss": 0.8749, + "step": 17614 + }, + { + "epoch": 0.41, + "grad_norm": 3.068924788631991, + "learning_rate": 1.3182765388268544e-05, + "loss": 0.9167, + "step": 17615 + }, + { + "epoch": 0.42, + "grad_norm": 1.847686206998054, + "learning_rate": 1.318204201767027e-05, + "loss": 0.9456, + "step": 17616 + }, + { + "epoch": 0.42, + "grad_norm": 1.9945804678633756, + "learning_rate": 1.3181318628545138e-05, + "loss": 0.8381, + "step": 17617 + }, + { + "epoch": 0.42, + "grad_norm": 1.5842739033285453, + "learning_rate": 1.3180595220897365e-05, + "loss": 0.8851, + "step": 17618 + }, + { + "epoch": 0.42, + "grad_norm": 1.7241023112973908, + "learning_rate": 1.3179871794731158e-05, + "loss": 0.9011, + "step": 17619 + }, + { + "epoch": 0.42, + "grad_norm": 1.9421521961105719, + "learning_rate": 1.3179148350050733e-05, + "loss": 0.9566, + "step": 17620 + }, + { + "epoch": 0.42, + "grad_norm": 1.6389964460574102, + "learning_rate": 1.3178424886860292e-05, + "loss": 0.8063, + "step": 17621 + }, + { + "epoch": 0.42, + "grad_norm": 1.4265597156230994, + "learning_rate": 1.3177701405164065e-05, + "loss": 0.7933, + "step": 17622 + }, + { + "epoch": 0.42, + "grad_norm": 2.417290711776006, + "learning_rate": 1.3176977904966248e-05, + "loss": 0.7657, + "step": 17623 + }, + { + "epoch": 0.42, + "grad_norm": 1.8481378974694707, + "learning_rate": 1.3176254386271063e-05, + "loss": 0.9804, + "step": 17624 + }, + { + "epoch": 0.42, + "grad_norm": 1.8552851403829895, + "learning_rate": 1.3175530849082718e-05, + "loss": 0.9138, + "step": 17625 + }, + { + "epoch": 0.42, + "grad_norm": 2.6201081867721894, + "learning_rate": 1.3174807293405427e-05, + "loss": 0.8558, + "step": 17626 + }, + { + "epoch": 0.42, + "grad_norm": 1.6488242647255857, + "learning_rate": 1.3174083719243402e-05, + "loss": 0.8619, + "step": 17627 + }, + { + "epoch": 0.42, + "grad_norm": 0.7302277094476438, + "learning_rate": 1.3173360126600858e-05, + "loss": 0.7551, + "step": 17628 + }, + { + "epoch": 0.42, + "grad_norm": 1.5671308105049904, + "learning_rate": 1.3172636515482007e-05, + "loss": 0.9308, + "step": 17629 + }, + { + "epoch": 0.42, + "grad_norm": 1.6381216298634442, + "learning_rate": 1.3171912885891063e-05, + "loss": 0.8469, + "step": 17630 + }, + { + "epoch": 0.42, + "grad_norm": 1.6323093606155379, + "learning_rate": 1.3171189237832234e-05, + "loss": 0.9164, + "step": 17631 + }, + { + "epoch": 0.42, + "grad_norm": 1.81560820559938, + "learning_rate": 1.3170465571309738e-05, + "loss": 1.0111, + "step": 17632 + }, + { + "epoch": 0.42, + "grad_norm": 1.484538490066388, + "learning_rate": 1.316974188632779e-05, + "loss": 0.8438, + "step": 17633 + }, + { + "epoch": 0.42, + "grad_norm": 1.8698266112683888, + "learning_rate": 1.31690181828906e-05, + "loss": 0.9044, + "step": 17634 + }, + { + "epoch": 0.42, + "grad_norm": 1.5985510815922976, + "learning_rate": 1.3168294461002385e-05, + "loss": 0.8508, + "step": 17635 + }, + { + "epoch": 0.42, + "grad_norm": 2.117465937160862, + "learning_rate": 1.3167570720667353e-05, + "loss": 0.6865, + "step": 17636 + }, + { + "epoch": 0.42, + "grad_norm": 1.6079960196882856, + "learning_rate": 1.3166846961889725e-05, + "loss": 0.9296, + "step": 17637 + }, + { + "epoch": 0.42, + "grad_norm": 1.6448633631709015, + "learning_rate": 1.316612318467371e-05, + "loss": 0.9046, + "step": 17638 + }, + { + "epoch": 0.42, + "grad_norm": 1.6433691921765758, + "learning_rate": 1.3165399389023523e-05, + "loss": 0.9391, + "step": 17639 + }, + { + "epoch": 0.42, + "grad_norm": 1.7766163909004378, + "learning_rate": 1.3164675574943377e-05, + "loss": 0.9024, + "step": 17640 + }, + { + "epoch": 0.42, + "grad_norm": 0.798855056846456, + "learning_rate": 1.3163951742437493e-05, + "loss": 0.7652, + "step": 17641 + }, + { + "epoch": 0.42, + "grad_norm": 1.763961199689911, + "learning_rate": 1.3163227891510073e-05, + "loss": 0.7866, + "step": 17642 + }, + { + "epoch": 0.42, + "grad_norm": 1.6164118695364509, + "learning_rate": 1.3162504022165345e-05, + "loss": 0.9123, + "step": 17643 + }, + { + "epoch": 0.42, + "grad_norm": 1.724805961160548, + "learning_rate": 1.3161780134407515e-05, + "loss": 0.986, + "step": 17644 + }, + { + "epoch": 0.42, + "grad_norm": 1.7398381491577024, + "learning_rate": 1.3161056228240798e-05, + "loss": 0.7763, + "step": 17645 + }, + { + "epoch": 0.42, + "grad_norm": 1.9105747290973347, + "learning_rate": 1.3160332303669414e-05, + "loss": 0.9322, + "step": 17646 + }, + { + "epoch": 0.42, + "grad_norm": 1.8701459891918848, + "learning_rate": 1.3159608360697573e-05, + "loss": 0.8997, + "step": 17647 + }, + { + "epoch": 0.42, + "grad_norm": 1.4564836525883929, + "learning_rate": 1.3158884399329492e-05, + "loss": 0.8686, + "step": 17648 + }, + { + "epoch": 0.42, + "grad_norm": 1.6810336873678635, + "learning_rate": 1.3158160419569388e-05, + "loss": 0.8138, + "step": 17649 + }, + { + "epoch": 0.42, + "grad_norm": 1.5386155512447612, + "learning_rate": 1.3157436421421472e-05, + "loss": 0.9143, + "step": 17650 + }, + { + "epoch": 0.42, + "grad_norm": 2.139122682627176, + "learning_rate": 1.3156712404889962e-05, + "loss": 0.9392, + "step": 17651 + }, + { + "epoch": 0.42, + "grad_norm": 1.5126978802305164, + "learning_rate": 1.3155988369979071e-05, + "loss": 0.8697, + "step": 17652 + }, + { + "epoch": 0.42, + "grad_norm": 1.5652962251147662, + "learning_rate": 1.315526431669302e-05, + "loss": 0.9146, + "step": 17653 + }, + { + "epoch": 0.42, + "grad_norm": 1.651052487727938, + "learning_rate": 1.315454024503602e-05, + "loss": 0.936, + "step": 17654 + }, + { + "epoch": 0.42, + "grad_norm": 1.6003553803476303, + "learning_rate": 1.3153816155012287e-05, + "loss": 0.8044, + "step": 17655 + }, + { + "epoch": 0.42, + "grad_norm": 1.5187141565668878, + "learning_rate": 1.3153092046626039e-05, + "loss": 0.7876, + "step": 17656 + }, + { + "epoch": 0.42, + "grad_norm": 1.5443981539065348, + "learning_rate": 1.315236791988149e-05, + "loss": 0.8365, + "step": 17657 + }, + { + "epoch": 0.42, + "grad_norm": 2.1277668770518456, + "learning_rate": 1.315164377478286e-05, + "loss": 0.8965, + "step": 17658 + }, + { + "epoch": 0.42, + "grad_norm": 1.8080625411297684, + "learning_rate": 1.3150919611334358e-05, + "loss": 0.926, + "step": 17659 + }, + { + "epoch": 0.42, + "grad_norm": 1.7224402059727724, + "learning_rate": 1.3150195429540207e-05, + "loss": 0.8363, + "step": 17660 + }, + { + "epoch": 0.42, + "grad_norm": 1.644521971151708, + "learning_rate": 1.3149471229404617e-05, + "loss": 0.9227, + "step": 17661 + }, + { + "epoch": 0.42, + "grad_norm": 1.7767217214908932, + "learning_rate": 1.3148747010931814e-05, + "loss": 0.7097, + "step": 17662 + }, + { + "epoch": 0.42, + "grad_norm": 1.9256434168525638, + "learning_rate": 1.3148022774126003e-05, + "loss": 0.8731, + "step": 17663 + }, + { + "epoch": 0.42, + "grad_norm": 1.4515187425449765, + "learning_rate": 1.3147298518991413e-05, + "loss": 0.8173, + "step": 17664 + }, + { + "epoch": 0.42, + "grad_norm": 1.5034925752464814, + "learning_rate": 1.3146574245532254e-05, + "loss": 0.907, + "step": 17665 + }, + { + "epoch": 0.42, + "grad_norm": 1.623252789494366, + "learning_rate": 1.3145849953752739e-05, + "loss": 0.8091, + "step": 17666 + }, + { + "epoch": 0.42, + "grad_norm": 1.738048187933362, + "learning_rate": 1.3145125643657093e-05, + "loss": 0.8649, + "step": 17667 + }, + { + "epoch": 0.42, + "grad_norm": 1.4600078558080867, + "learning_rate": 1.3144401315249529e-05, + "loss": 0.9261, + "step": 17668 + }, + { + "epoch": 0.42, + "grad_norm": 0.7685338174114205, + "learning_rate": 1.3143676968534264e-05, + "loss": 0.7263, + "step": 17669 + }, + { + "epoch": 0.42, + "grad_norm": 0.7612032859659458, + "learning_rate": 1.3142952603515515e-05, + "loss": 0.6958, + "step": 17670 + }, + { + "epoch": 0.42, + "grad_norm": 1.6722905192069653, + "learning_rate": 1.3142228220197503e-05, + "loss": 0.8834, + "step": 17671 + }, + { + "epoch": 0.42, + "grad_norm": 1.6645165701927405, + "learning_rate": 1.3141503818584444e-05, + "loss": 0.8148, + "step": 17672 + }, + { + "epoch": 0.42, + "grad_norm": 1.5783461537534882, + "learning_rate": 1.3140779398680557e-05, + "loss": 0.898, + "step": 17673 + }, + { + "epoch": 0.42, + "grad_norm": 1.7236467023693725, + "learning_rate": 1.3140054960490053e-05, + "loss": 0.952, + "step": 17674 + }, + { + "epoch": 0.42, + "grad_norm": 1.473259383461351, + "learning_rate": 1.3139330504017159e-05, + "loss": 0.8218, + "step": 17675 + }, + { + "epoch": 0.42, + "grad_norm": 1.628189581299897, + "learning_rate": 1.3138606029266087e-05, + "loss": 0.8872, + "step": 17676 + }, + { + "epoch": 0.42, + "grad_norm": 0.7853409684011152, + "learning_rate": 1.3137881536241058e-05, + "loss": 0.6744, + "step": 17677 + }, + { + "epoch": 0.42, + "grad_norm": 2.3387403742221813, + "learning_rate": 1.3137157024946288e-05, + "loss": 0.9002, + "step": 17678 + }, + { + "epoch": 0.42, + "grad_norm": 1.4556207935025172, + "learning_rate": 1.3136432495385997e-05, + "loss": 0.7926, + "step": 17679 + }, + { + "epoch": 0.42, + "grad_norm": 2.0201947691424316, + "learning_rate": 1.3135707947564402e-05, + "loss": 0.9085, + "step": 17680 + }, + { + "epoch": 0.42, + "grad_norm": 1.5609427943400325, + "learning_rate": 1.3134983381485724e-05, + "loss": 0.8886, + "step": 17681 + }, + { + "epoch": 0.42, + "grad_norm": 1.54131110598082, + "learning_rate": 1.3134258797154183e-05, + "loss": 0.9219, + "step": 17682 + }, + { + "epoch": 0.42, + "grad_norm": 2.1645931579090085, + "learning_rate": 1.3133534194573992e-05, + "loss": 0.9072, + "step": 17683 + }, + { + "epoch": 0.42, + "grad_norm": 2.354533769679122, + "learning_rate": 1.3132809573749371e-05, + "loss": 0.9185, + "step": 17684 + }, + { + "epoch": 0.42, + "grad_norm": 1.8692774390605318, + "learning_rate": 1.3132084934684544e-05, + "loss": 0.7906, + "step": 17685 + }, + { + "epoch": 0.42, + "grad_norm": 1.7037684264255497, + "learning_rate": 1.3131360277383725e-05, + "loss": 0.9475, + "step": 17686 + }, + { + "epoch": 0.42, + "grad_norm": 1.8952857731146346, + "learning_rate": 1.3130635601851136e-05, + "loss": 0.9078, + "step": 17687 + }, + { + "epoch": 0.42, + "grad_norm": 1.571680636136486, + "learning_rate": 1.3129910908090997e-05, + "loss": 0.9295, + "step": 17688 + }, + { + "epoch": 0.42, + "grad_norm": 2.1025891172232023, + "learning_rate": 1.3129186196107522e-05, + "loss": 0.7209, + "step": 17689 + }, + { + "epoch": 0.42, + "grad_norm": 1.534708895260463, + "learning_rate": 1.3128461465904938e-05, + "loss": 0.9586, + "step": 17690 + }, + { + "epoch": 0.42, + "grad_norm": 1.4735474997865605, + "learning_rate": 1.3127736717487459e-05, + "loss": 0.9417, + "step": 17691 + }, + { + "epoch": 0.42, + "grad_norm": 1.650336394198448, + "learning_rate": 1.3127011950859307e-05, + "loss": 0.8035, + "step": 17692 + }, + { + "epoch": 0.42, + "grad_norm": 0.8182429587416266, + "learning_rate": 1.31262871660247e-05, + "loss": 0.7594, + "step": 17693 + }, + { + "epoch": 0.42, + "grad_norm": 0.8455717803363316, + "learning_rate": 1.3125562362987863e-05, + "loss": 0.7181, + "step": 17694 + }, + { + "epoch": 0.42, + "grad_norm": 1.724650362004695, + "learning_rate": 1.3124837541753008e-05, + "loss": 0.7637, + "step": 17695 + }, + { + "epoch": 0.42, + "grad_norm": 1.628486636517688, + "learning_rate": 1.3124112702324363e-05, + "loss": 0.9181, + "step": 17696 + }, + { + "epoch": 0.42, + "grad_norm": 1.5311394607549509, + "learning_rate": 1.3123387844706144e-05, + "loss": 0.8436, + "step": 17697 + }, + { + "epoch": 0.42, + "grad_norm": 0.7858196504057449, + "learning_rate": 1.312266296890257e-05, + "loss": 0.7535, + "step": 17698 + }, + { + "epoch": 0.42, + "grad_norm": 0.7657787416825161, + "learning_rate": 1.3121938074917866e-05, + "loss": 0.7447, + "step": 17699 + }, + { + "epoch": 0.42, + "grad_norm": 1.579519025745858, + "learning_rate": 1.3121213162756247e-05, + "loss": 0.9704, + "step": 17700 + }, + { + "epoch": 0.42, + "grad_norm": 3.098182666827929, + "learning_rate": 1.3120488232421939e-05, + "loss": 0.8947, + "step": 17701 + }, + { + "epoch": 0.42, + "grad_norm": 0.8199871821533078, + "learning_rate": 1.311976328391916e-05, + "loss": 0.7873, + "step": 17702 + }, + { + "epoch": 0.42, + "grad_norm": 1.4093405308104474, + "learning_rate": 1.3119038317252133e-05, + "loss": 0.851, + "step": 17703 + }, + { + "epoch": 0.42, + "grad_norm": 1.4700631947247227, + "learning_rate": 1.3118313332425077e-05, + "loss": 0.835, + "step": 17704 + }, + { + "epoch": 0.42, + "grad_norm": 2.0263159503261527, + "learning_rate": 1.3117588329442213e-05, + "loss": 0.8225, + "step": 17705 + }, + { + "epoch": 0.42, + "grad_norm": 1.5342508930239946, + "learning_rate": 1.3116863308307762e-05, + "loss": 1.0199, + "step": 17706 + }, + { + "epoch": 0.42, + "grad_norm": 1.8205141835264418, + "learning_rate": 1.3116138269025947e-05, + "loss": 0.8845, + "step": 17707 + }, + { + "epoch": 0.42, + "grad_norm": 1.5954854249769883, + "learning_rate": 1.3115413211600987e-05, + "loss": 0.8911, + "step": 17708 + }, + { + "epoch": 0.42, + "grad_norm": 0.7779946000547519, + "learning_rate": 1.3114688136037109e-05, + "loss": 0.7858, + "step": 17709 + }, + { + "epoch": 0.42, + "grad_norm": 1.4625248149224614, + "learning_rate": 1.3113963042338527e-05, + "loss": 0.9274, + "step": 17710 + }, + { + "epoch": 0.42, + "grad_norm": 1.6008833322485365, + "learning_rate": 1.3113237930509469e-05, + "loss": 0.8606, + "step": 17711 + }, + { + "epoch": 0.42, + "grad_norm": 1.4453278506718714, + "learning_rate": 1.3112512800554149e-05, + "loss": 0.8942, + "step": 17712 + }, + { + "epoch": 0.42, + "grad_norm": 1.7621453656729962, + "learning_rate": 1.31117876524768e-05, + "loss": 0.8677, + "step": 17713 + }, + { + "epoch": 0.42, + "grad_norm": 1.7335664873027106, + "learning_rate": 1.3111062486281632e-05, + "loss": 0.883, + "step": 17714 + }, + { + "epoch": 0.42, + "grad_norm": 1.9021834726155709, + "learning_rate": 1.3110337301972877e-05, + "loss": 0.8225, + "step": 17715 + }, + { + "epoch": 0.42, + "grad_norm": 1.626531335496666, + "learning_rate": 1.3109612099554754e-05, + "loss": 0.932, + "step": 17716 + }, + { + "epoch": 0.42, + "grad_norm": 1.732011214616894, + "learning_rate": 1.3108886879031485e-05, + "loss": 0.9357, + "step": 17717 + }, + { + "epoch": 0.42, + "grad_norm": 0.7656509141252584, + "learning_rate": 1.310816164040729e-05, + "loss": 0.7543, + "step": 17718 + }, + { + "epoch": 0.42, + "grad_norm": 1.8631415128698183, + "learning_rate": 1.3107436383686394e-05, + "loss": 0.8929, + "step": 17719 + }, + { + "epoch": 0.42, + "grad_norm": 1.5568434855010505, + "learning_rate": 1.3106711108873022e-05, + "loss": 1.022, + "step": 17720 + }, + { + "epoch": 0.42, + "grad_norm": 1.6208373385286805, + "learning_rate": 1.3105985815971392e-05, + "loss": 0.8069, + "step": 17721 + }, + { + "epoch": 0.42, + "grad_norm": 1.5943368779935483, + "learning_rate": 1.3105260504985732e-05, + "loss": 0.8837, + "step": 17722 + }, + { + "epoch": 0.42, + "grad_norm": 0.7990284087697931, + "learning_rate": 1.3104535175920261e-05, + "loss": 0.7181, + "step": 17723 + }, + { + "epoch": 0.42, + "grad_norm": 2.0698458593974722, + "learning_rate": 1.3103809828779202e-05, + "loss": 0.9089, + "step": 17724 + }, + { + "epoch": 0.42, + "grad_norm": 1.597778765200159, + "learning_rate": 1.310308446356678e-05, + "loss": 0.8498, + "step": 17725 + }, + { + "epoch": 0.42, + "grad_norm": 1.5772205680630205, + "learning_rate": 1.3102359080287219e-05, + "loss": 0.7912, + "step": 17726 + }, + { + "epoch": 0.42, + "grad_norm": 2.236513921565685, + "learning_rate": 1.3101633678944741e-05, + "loss": 0.9562, + "step": 17727 + }, + { + "epoch": 0.42, + "grad_norm": 1.7824498346174578, + "learning_rate": 1.3100908259543567e-05, + "loss": 0.9927, + "step": 17728 + }, + { + "epoch": 0.42, + "grad_norm": 1.598998896010327, + "learning_rate": 1.3100182822087928e-05, + "loss": 0.8126, + "step": 17729 + }, + { + "epoch": 0.42, + "grad_norm": 1.7148560089276528, + "learning_rate": 1.309945736658204e-05, + "loss": 0.8807, + "step": 17730 + }, + { + "epoch": 0.42, + "grad_norm": 0.7589898881197247, + "learning_rate": 1.309873189303013e-05, + "loss": 0.7116, + "step": 17731 + }, + { + "epoch": 0.42, + "grad_norm": 1.686400443024025, + "learning_rate": 1.3098006401436422e-05, + "loss": 0.9482, + "step": 17732 + }, + { + "epoch": 0.42, + "grad_norm": 1.75975472613126, + "learning_rate": 1.3097280891805141e-05, + "loss": 0.8347, + "step": 17733 + }, + { + "epoch": 0.42, + "grad_norm": 1.4733271758228423, + "learning_rate": 1.309655536414051e-05, + "loss": 0.7312, + "step": 17734 + }, + { + "epoch": 0.42, + "grad_norm": 1.8958871081987987, + "learning_rate": 1.3095829818446753e-05, + "loss": 0.905, + "step": 17735 + }, + { + "epoch": 0.42, + "grad_norm": 1.9719566189229936, + "learning_rate": 1.3095104254728095e-05, + "loss": 0.8843, + "step": 17736 + }, + { + "epoch": 0.42, + "grad_norm": 1.5406644591251324, + "learning_rate": 1.3094378672988759e-05, + "loss": 0.8591, + "step": 17737 + }, + { + "epoch": 0.42, + "grad_norm": 2.190301971710499, + "learning_rate": 1.3093653073232972e-05, + "loss": 0.8315, + "step": 17738 + }, + { + "epoch": 0.42, + "grad_norm": 1.7782509088523906, + "learning_rate": 1.3092927455464959e-05, + "loss": 0.9172, + "step": 17739 + }, + { + "epoch": 0.42, + "grad_norm": 1.5849186942292126, + "learning_rate": 1.3092201819688937e-05, + "loss": 0.9947, + "step": 17740 + }, + { + "epoch": 0.42, + "grad_norm": 1.8670493434800386, + "learning_rate": 1.3091476165909142e-05, + "loss": 0.8096, + "step": 17741 + }, + { + "epoch": 0.42, + "grad_norm": 1.8098300920683252, + "learning_rate": 1.3090750494129792e-05, + "loss": 0.8527, + "step": 17742 + }, + { + "epoch": 0.42, + "grad_norm": 2.198391120547303, + "learning_rate": 1.3090024804355117e-05, + "loss": 0.8806, + "step": 17743 + }, + { + "epoch": 0.42, + "grad_norm": 1.7796836757868704, + "learning_rate": 1.3089299096589336e-05, + "loss": 0.9516, + "step": 17744 + }, + { + "epoch": 0.42, + "grad_norm": 1.453635942891441, + "learning_rate": 1.308857337083668e-05, + "loss": 0.9773, + "step": 17745 + }, + { + "epoch": 0.42, + "grad_norm": 1.7718637004219782, + "learning_rate": 1.3087847627101372e-05, + "loss": 0.8431, + "step": 17746 + }, + { + "epoch": 0.42, + "grad_norm": 1.6320467172828061, + "learning_rate": 1.3087121865387636e-05, + "loss": 0.7955, + "step": 17747 + }, + { + "epoch": 0.42, + "grad_norm": 7.8142906063969395, + "learning_rate": 1.30863960856997e-05, + "loss": 0.8823, + "step": 17748 + }, + { + "epoch": 0.42, + "grad_norm": 1.755484842950872, + "learning_rate": 1.3085670288041787e-05, + "loss": 0.9395, + "step": 17749 + }, + { + "epoch": 0.42, + "grad_norm": 2.343593191101696, + "learning_rate": 1.3084944472418126e-05, + "loss": 0.937, + "step": 17750 + }, + { + "epoch": 0.42, + "grad_norm": 2.0635568673782365, + "learning_rate": 1.3084218638832943e-05, + "loss": 0.9344, + "step": 17751 + }, + { + "epoch": 0.42, + "grad_norm": 1.4846235417760456, + "learning_rate": 1.3083492787290462e-05, + "loss": 0.9596, + "step": 17752 + }, + { + "epoch": 0.42, + "grad_norm": 1.5910667605922604, + "learning_rate": 1.308276691779491e-05, + "loss": 0.8959, + "step": 17753 + }, + { + "epoch": 0.42, + "grad_norm": 1.970241587190273, + "learning_rate": 1.3082041030350512e-05, + "loss": 0.9354, + "step": 17754 + }, + { + "epoch": 0.42, + "grad_norm": 1.7354180982550378, + "learning_rate": 1.3081315124961496e-05, + "loss": 0.8352, + "step": 17755 + }, + { + "epoch": 0.42, + "grad_norm": 0.7697922178172037, + "learning_rate": 1.3080589201632086e-05, + "loss": 0.7759, + "step": 17756 + }, + { + "epoch": 0.42, + "grad_norm": 2.402180599847784, + "learning_rate": 1.3079863260366512e-05, + "loss": 0.9518, + "step": 17757 + }, + { + "epoch": 0.42, + "grad_norm": 1.84685418458741, + "learning_rate": 1.3079137301168998e-05, + "loss": 0.8046, + "step": 17758 + }, + { + "epoch": 0.42, + "grad_norm": 1.593961050528826, + "learning_rate": 1.3078411324043772e-05, + "loss": 0.9118, + "step": 17759 + }, + { + "epoch": 0.42, + "grad_norm": 1.6169152814466807, + "learning_rate": 1.3077685328995065e-05, + "loss": 0.8238, + "step": 17760 + }, + { + "epoch": 0.42, + "grad_norm": 1.7365373450300627, + "learning_rate": 1.3076959316027093e-05, + "loss": 0.8767, + "step": 17761 + }, + { + "epoch": 0.42, + "grad_norm": 1.6654827831862802, + "learning_rate": 1.3076233285144096e-05, + "loss": 0.9196, + "step": 17762 + }, + { + "epoch": 0.42, + "grad_norm": 1.654908542093687, + "learning_rate": 1.307550723635029e-05, + "loss": 0.9503, + "step": 17763 + }, + { + "epoch": 0.42, + "grad_norm": 2.0091265455388507, + "learning_rate": 1.3074781169649908e-05, + "loss": 0.8175, + "step": 17764 + }, + { + "epoch": 0.42, + "grad_norm": 1.8292198777756892, + "learning_rate": 1.3074055085047174e-05, + "loss": 0.9314, + "step": 17765 + }, + { + "epoch": 0.42, + "grad_norm": 1.6859031044367137, + "learning_rate": 1.3073328982546325e-05, + "loss": 0.8145, + "step": 17766 + }, + { + "epoch": 0.42, + "grad_norm": 1.4985818561984934, + "learning_rate": 1.3072602862151577e-05, + "loss": 0.8192, + "step": 17767 + }, + { + "epoch": 0.42, + "grad_norm": 1.8971435031458619, + "learning_rate": 1.307187672386716e-05, + "loss": 0.8722, + "step": 17768 + }, + { + "epoch": 0.42, + "grad_norm": 1.6397572990363418, + "learning_rate": 1.3071150567697313e-05, + "loss": 0.776, + "step": 17769 + }, + { + "epoch": 0.42, + "grad_norm": 1.465877106267277, + "learning_rate": 1.3070424393646246e-05, + "loss": 0.9346, + "step": 17770 + }, + { + "epoch": 0.42, + "grad_norm": 1.8000380407918415, + "learning_rate": 1.3069698201718202e-05, + "loss": 0.9441, + "step": 17771 + }, + { + "epoch": 0.42, + "grad_norm": 1.9008485876532157, + "learning_rate": 1.3068971991917398e-05, + "loss": 0.75, + "step": 17772 + }, + { + "epoch": 0.42, + "grad_norm": 1.5712240685512104, + "learning_rate": 1.3068245764248073e-05, + "loss": 0.7919, + "step": 17773 + }, + { + "epoch": 0.42, + "grad_norm": 1.6391973960349013, + "learning_rate": 1.3067519518714447e-05, + "loss": 0.8979, + "step": 17774 + }, + { + "epoch": 0.42, + "grad_norm": 1.494437967855948, + "learning_rate": 1.306679325532075e-05, + "loss": 1.0126, + "step": 17775 + }, + { + "epoch": 0.42, + "grad_norm": 1.6238154601364758, + "learning_rate": 1.3066066974071213e-05, + "loss": 0.9281, + "step": 17776 + }, + { + "epoch": 0.42, + "grad_norm": 1.7244812710684083, + "learning_rate": 1.3065340674970064e-05, + "loss": 0.7922, + "step": 17777 + }, + { + "epoch": 0.42, + "grad_norm": 1.7463098567681463, + "learning_rate": 1.3064614358021532e-05, + "loss": 0.8073, + "step": 17778 + }, + { + "epoch": 0.42, + "grad_norm": 1.5518523370548143, + "learning_rate": 1.3063888023229842e-05, + "loss": 0.7448, + "step": 17779 + }, + { + "epoch": 0.42, + "grad_norm": 1.9499326878549568, + "learning_rate": 1.3063161670599227e-05, + "loss": 1.0121, + "step": 17780 + }, + { + "epoch": 0.42, + "grad_norm": 1.6561391974444237, + "learning_rate": 1.3062435300133917e-05, + "loss": 1.0221, + "step": 17781 + }, + { + "epoch": 0.42, + "grad_norm": 0.7929334643295874, + "learning_rate": 1.3061708911838138e-05, + "loss": 0.7229, + "step": 17782 + }, + { + "epoch": 0.42, + "grad_norm": 1.6147503015404534, + "learning_rate": 1.306098250571612e-05, + "loss": 0.8136, + "step": 17783 + }, + { + "epoch": 0.42, + "grad_norm": 1.687597688202173, + "learning_rate": 1.3060256081772092e-05, + "loss": 0.8694, + "step": 17784 + }, + { + "epoch": 0.42, + "grad_norm": 0.876924973002267, + "learning_rate": 1.3059529640010284e-05, + "loss": 0.76, + "step": 17785 + }, + { + "epoch": 0.42, + "grad_norm": 1.8975048095084959, + "learning_rate": 1.3058803180434927e-05, + "loss": 0.8283, + "step": 17786 + }, + { + "epoch": 0.42, + "grad_norm": 1.5349283624810617, + "learning_rate": 1.3058076703050249e-05, + "loss": 0.8378, + "step": 17787 + }, + { + "epoch": 0.42, + "grad_norm": 1.6083670297435682, + "learning_rate": 1.3057350207860484e-05, + "loss": 0.9628, + "step": 17788 + }, + { + "epoch": 0.42, + "grad_norm": 1.4730605341953387, + "learning_rate": 1.305662369486985e-05, + "loss": 0.8886, + "step": 17789 + }, + { + "epoch": 0.42, + "grad_norm": 1.8314832145240731, + "learning_rate": 1.3055897164082594e-05, + "loss": 0.7615, + "step": 17790 + }, + { + "epoch": 0.42, + "grad_norm": 1.5299678832279011, + "learning_rate": 1.305517061550293e-05, + "loss": 0.9859, + "step": 17791 + }, + { + "epoch": 0.42, + "grad_norm": 1.560025184923582, + "learning_rate": 1.3054444049135099e-05, + "loss": 0.9342, + "step": 17792 + }, + { + "epoch": 0.42, + "grad_norm": 0.7804071160220923, + "learning_rate": 1.3053717464983327e-05, + "loss": 0.7724, + "step": 17793 + }, + { + "epoch": 0.42, + "grad_norm": 1.6047829615483875, + "learning_rate": 1.3052990863051846e-05, + "loss": 0.9444, + "step": 17794 + }, + { + "epoch": 0.42, + "grad_norm": 1.5153069882619983, + "learning_rate": 1.3052264243344885e-05, + "loss": 0.9005, + "step": 17795 + }, + { + "epoch": 0.42, + "grad_norm": 1.683275475833677, + "learning_rate": 1.3051537605866675e-05, + "loss": 0.8544, + "step": 17796 + }, + { + "epoch": 0.42, + "grad_norm": 1.5657550397405746, + "learning_rate": 1.305081095062145e-05, + "loss": 0.8983, + "step": 17797 + }, + { + "epoch": 0.42, + "grad_norm": 1.828906064697272, + "learning_rate": 1.3050084277613433e-05, + "loss": 0.9298, + "step": 17798 + }, + { + "epoch": 0.42, + "grad_norm": 1.6182320040017797, + "learning_rate": 1.3049357586846862e-05, + "loss": 0.9193, + "step": 17799 + }, + { + "epoch": 0.42, + "grad_norm": 0.6919807243349899, + "learning_rate": 1.3048630878325966e-05, + "loss": 0.7296, + "step": 17800 + }, + { + "epoch": 0.42, + "grad_norm": 1.5877226138769474, + "learning_rate": 1.3047904152054974e-05, + "loss": 0.8135, + "step": 17801 + }, + { + "epoch": 0.42, + "grad_norm": 3.417643796221635, + "learning_rate": 1.3047177408038119e-05, + "loss": 0.8975, + "step": 17802 + }, + { + "epoch": 0.42, + "grad_norm": 1.8776812584821472, + "learning_rate": 1.3046450646279633e-05, + "loss": 0.8169, + "step": 17803 + }, + { + "epoch": 0.42, + "grad_norm": 1.7785032327584396, + "learning_rate": 1.3045723866783749e-05, + "loss": 0.7421, + "step": 17804 + }, + { + "epoch": 0.42, + "grad_norm": 1.7970986819531123, + "learning_rate": 1.3044997069554695e-05, + "loss": 0.8365, + "step": 17805 + }, + { + "epoch": 0.42, + "grad_norm": 1.6917777770149025, + "learning_rate": 1.3044270254596706e-05, + "loss": 0.8195, + "step": 17806 + }, + { + "epoch": 0.42, + "grad_norm": 0.7993416129371892, + "learning_rate": 1.3043543421914007e-05, + "loss": 0.7272, + "step": 17807 + }, + { + "epoch": 0.42, + "grad_norm": 1.9715886322320815, + "learning_rate": 1.3042816571510836e-05, + "loss": 0.9156, + "step": 17808 + }, + { + "epoch": 0.42, + "grad_norm": 1.621181711843115, + "learning_rate": 1.3042089703391425e-05, + "loss": 0.9673, + "step": 17809 + }, + { + "epoch": 0.42, + "grad_norm": 1.596583148151477, + "learning_rate": 1.3041362817560007e-05, + "loss": 0.774, + "step": 17810 + }, + { + "epoch": 0.42, + "grad_norm": 1.6270419948333599, + "learning_rate": 1.304063591402081e-05, + "loss": 0.8151, + "step": 17811 + }, + { + "epoch": 0.42, + "grad_norm": 1.5410883275424774, + "learning_rate": 1.3039908992778065e-05, + "loss": 0.9029, + "step": 17812 + }, + { + "epoch": 0.42, + "grad_norm": 1.5422317019220038, + "learning_rate": 1.3039182053836013e-05, + "loss": 0.745, + "step": 17813 + }, + { + "epoch": 0.42, + "grad_norm": 14.042010697789202, + "learning_rate": 1.3038455097198875e-05, + "loss": 0.9323, + "step": 17814 + }, + { + "epoch": 0.42, + "grad_norm": 1.7408883830800184, + "learning_rate": 1.3037728122870891e-05, + "loss": 0.8096, + "step": 17815 + }, + { + "epoch": 0.42, + "grad_norm": 1.825196260912023, + "learning_rate": 1.3037001130856296e-05, + "loss": 0.9095, + "step": 17816 + }, + { + "epoch": 0.42, + "grad_norm": 3.0598755772893296, + "learning_rate": 1.3036274121159313e-05, + "loss": 0.9301, + "step": 17817 + }, + { + "epoch": 0.42, + "grad_norm": 0.7989242144411803, + "learning_rate": 1.3035547093784187e-05, + "loss": 0.7406, + "step": 17818 + }, + { + "epoch": 0.42, + "grad_norm": 2.0769712830636813, + "learning_rate": 1.3034820048735139e-05, + "loss": 0.7706, + "step": 17819 + }, + { + "epoch": 0.42, + "grad_norm": 1.596463109305129, + "learning_rate": 1.3034092986016413e-05, + "loss": 0.8754, + "step": 17820 + }, + { + "epoch": 0.42, + "grad_norm": 2.033143031679587, + "learning_rate": 1.3033365905632234e-05, + "loss": 0.9543, + "step": 17821 + }, + { + "epoch": 0.42, + "grad_norm": 1.5023348179934848, + "learning_rate": 1.3032638807586842e-05, + "loss": 0.8784, + "step": 17822 + }, + { + "epoch": 0.42, + "grad_norm": 1.607451911295979, + "learning_rate": 1.303191169188446e-05, + "loss": 0.8601, + "step": 17823 + }, + { + "epoch": 0.42, + "grad_norm": 1.67837208229207, + "learning_rate": 1.3031184558529335e-05, + "loss": 0.8252, + "step": 17824 + }, + { + "epoch": 0.42, + "grad_norm": 1.6749608367440019, + "learning_rate": 1.303045740752569e-05, + "loss": 0.8678, + "step": 17825 + }, + { + "epoch": 0.42, + "grad_norm": 2.5458548612389897, + "learning_rate": 1.3029730238877764e-05, + "loss": 0.902, + "step": 17826 + }, + { + "epoch": 0.42, + "grad_norm": 1.797271165797005, + "learning_rate": 1.3029003052589789e-05, + "loss": 0.9476, + "step": 17827 + }, + { + "epoch": 0.42, + "grad_norm": 1.5780484631060467, + "learning_rate": 1.3028275848665998e-05, + "loss": 0.9513, + "step": 17828 + }, + { + "epoch": 0.42, + "grad_norm": 1.6069440437450615, + "learning_rate": 1.3027548627110629e-05, + "loss": 0.9914, + "step": 17829 + }, + { + "epoch": 0.42, + "grad_norm": 1.5933435659176354, + "learning_rate": 1.3026821387927911e-05, + "loss": 0.9674, + "step": 17830 + }, + { + "epoch": 0.42, + "grad_norm": 1.6195219346801342, + "learning_rate": 1.302609413112208e-05, + "loss": 0.8328, + "step": 17831 + }, + { + "epoch": 0.42, + "grad_norm": 1.6140241551899066, + "learning_rate": 1.3025366856697372e-05, + "loss": 0.8957, + "step": 17832 + }, + { + "epoch": 0.42, + "grad_norm": 1.838873326214219, + "learning_rate": 1.3024639564658022e-05, + "loss": 0.9657, + "step": 17833 + }, + { + "epoch": 0.42, + "grad_norm": 1.7519029251426472, + "learning_rate": 1.3023912255008261e-05, + "loss": 0.9193, + "step": 17834 + }, + { + "epoch": 0.42, + "grad_norm": 1.770240858446838, + "learning_rate": 1.3023184927752326e-05, + "loss": 1.0086, + "step": 17835 + }, + { + "epoch": 0.42, + "grad_norm": 2.595948279929593, + "learning_rate": 1.3022457582894452e-05, + "loss": 0.9198, + "step": 17836 + }, + { + "epoch": 0.42, + "grad_norm": 1.6719272638570657, + "learning_rate": 1.302173022043887e-05, + "loss": 0.8837, + "step": 17837 + }, + { + "epoch": 0.42, + "grad_norm": 1.5682310301853457, + "learning_rate": 1.302100284038982e-05, + "loss": 0.7965, + "step": 17838 + }, + { + "epoch": 0.42, + "grad_norm": 1.7037387670756186, + "learning_rate": 1.3020275442751538e-05, + "loss": 0.8624, + "step": 17839 + }, + { + "epoch": 0.42, + "grad_norm": 1.4610662219346877, + "learning_rate": 1.3019548027528253e-05, + "loss": 0.8609, + "step": 17840 + }, + { + "epoch": 0.42, + "grad_norm": 1.4942823779892542, + "learning_rate": 1.3018820594724204e-05, + "loss": 0.8711, + "step": 17841 + }, + { + "epoch": 0.42, + "grad_norm": 1.5433523844983268, + "learning_rate": 1.3018093144343624e-05, + "loss": 0.8123, + "step": 17842 + }, + { + "epoch": 0.42, + "grad_norm": 1.6443629383990397, + "learning_rate": 1.3017365676390755e-05, + "loss": 0.7317, + "step": 17843 + }, + { + "epoch": 0.42, + "grad_norm": 0.7296798424317683, + "learning_rate": 1.3016638190869822e-05, + "loss": 0.7203, + "step": 17844 + }, + { + "epoch": 0.42, + "grad_norm": 1.9550822161311103, + "learning_rate": 1.3015910687785072e-05, + "loss": 0.9025, + "step": 17845 + }, + { + "epoch": 0.42, + "grad_norm": 1.7470728334348187, + "learning_rate": 1.3015183167140731e-05, + "loss": 0.8668, + "step": 17846 + }, + { + "epoch": 0.42, + "grad_norm": 1.4987705442195076, + "learning_rate": 1.3014455628941041e-05, + "loss": 0.9274, + "step": 17847 + }, + { + "epoch": 0.42, + "grad_norm": 1.6839975738783783, + "learning_rate": 1.3013728073190235e-05, + "loss": 0.9618, + "step": 17848 + }, + { + "epoch": 0.42, + "grad_norm": 0.7058497176266056, + "learning_rate": 1.3013000499892549e-05, + "loss": 0.6924, + "step": 17849 + }, + { + "epoch": 0.42, + "grad_norm": 1.726251424379372, + "learning_rate": 1.3012272909052221e-05, + "loss": 0.9278, + "step": 17850 + }, + { + "epoch": 0.42, + "grad_norm": 1.6861267692071695, + "learning_rate": 1.3011545300673486e-05, + "loss": 0.7907, + "step": 17851 + }, + { + "epoch": 0.42, + "grad_norm": 1.8477256272438625, + "learning_rate": 1.3010817674760583e-05, + "loss": 0.8495, + "step": 17852 + }, + { + "epoch": 0.42, + "grad_norm": 2.1730507409363566, + "learning_rate": 1.3010090031317746e-05, + "loss": 0.9716, + "step": 17853 + }, + { + "epoch": 0.42, + "grad_norm": 1.944564605850094, + "learning_rate": 1.300936237034921e-05, + "loss": 0.9518, + "step": 17854 + }, + { + "epoch": 0.42, + "grad_norm": 2.1751928825558373, + "learning_rate": 1.3008634691859214e-05, + "loss": 0.7601, + "step": 17855 + }, + { + "epoch": 0.42, + "grad_norm": 1.649795310586642, + "learning_rate": 1.3007906995851994e-05, + "loss": 0.8716, + "step": 17856 + }, + { + "epoch": 0.42, + "grad_norm": 1.8452282841147012, + "learning_rate": 1.3007179282331788e-05, + "loss": 0.8326, + "step": 17857 + }, + { + "epoch": 0.42, + "grad_norm": 2.1741739032179974, + "learning_rate": 1.3006451551302833e-05, + "loss": 0.79, + "step": 17858 + }, + { + "epoch": 0.42, + "grad_norm": 1.7269594559926096, + "learning_rate": 1.3005723802769363e-05, + "loss": 0.8766, + "step": 17859 + }, + { + "epoch": 0.42, + "grad_norm": 1.6024433199244674, + "learning_rate": 1.300499603673562e-05, + "loss": 0.939, + "step": 17860 + }, + { + "epoch": 0.42, + "grad_norm": 1.831402766935018, + "learning_rate": 1.3004268253205837e-05, + "loss": 0.8365, + "step": 17861 + }, + { + "epoch": 0.42, + "grad_norm": 1.6773424486665827, + "learning_rate": 1.3003540452184254e-05, + "loss": 0.8636, + "step": 17862 + }, + { + "epoch": 0.42, + "grad_norm": 1.5118075494951577, + "learning_rate": 1.3002812633675105e-05, + "loss": 0.9989, + "step": 17863 + }, + { + "epoch": 0.42, + "grad_norm": 1.608908110796196, + "learning_rate": 1.3002084797682633e-05, + "loss": 0.9534, + "step": 17864 + }, + { + "epoch": 0.42, + "grad_norm": 1.6316861606693334, + "learning_rate": 1.300135694421107e-05, + "loss": 0.7804, + "step": 17865 + }, + { + "epoch": 0.42, + "grad_norm": 3.037485785613404, + "learning_rate": 1.3000629073264658e-05, + "loss": 1.0072, + "step": 17866 + }, + { + "epoch": 0.42, + "grad_norm": 2.202935561530704, + "learning_rate": 1.2999901184847636e-05, + "loss": 0.9536, + "step": 17867 + }, + { + "epoch": 0.42, + "grad_norm": 7.02766354720404, + "learning_rate": 1.2999173278964237e-05, + "loss": 0.8553, + "step": 17868 + }, + { + "epoch": 0.42, + "grad_norm": 1.8491658444135652, + "learning_rate": 1.2998445355618704e-05, + "loss": 0.8498, + "step": 17869 + }, + { + "epoch": 0.42, + "grad_norm": 1.4952063623435325, + "learning_rate": 1.2997717414815269e-05, + "loss": 0.9909, + "step": 17870 + }, + { + "epoch": 0.42, + "grad_norm": 1.8715899033384624, + "learning_rate": 1.299698945655818e-05, + "loss": 0.7735, + "step": 17871 + }, + { + "epoch": 0.42, + "grad_norm": 1.6813576125233316, + "learning_rate": 1.2996261480851664e-05, + "loss": 0.9077, + "step": 17872 + }, + { + "epoch": 0.42, + "grad_norm": 1.4821589790476186, + "learning_rate": 1.299553348769997e-05, + "loss": 0.8374, + "step": 17873 + }, + { + "epoch": 0.42, + "grad_norm": 1.5605502027856868, + "learning_rate": 1.2994805477107323e-05, + "loss": 0.7874, + "step": 17874 + }, + { + "epoch": 0.42, + "grad_norm": 1.867284852608871, + "learning_rate": 1.299407744907798e-05, + "loss": 0.9321, + "step": 17875 + }, + { + "epoch": 0.42, + "grad_norm": 0.7076748350447386, + "learning_rate": 1.2993349403616167e-05, + "loss": 0.7175, + "step": 17876 + }, + { + "epoch": 0.42, + "grad_norm": 1.7423139880914191, + "learning_rate": 1.2992621340726124e-05, + "loss": 0.8465, + "step": 17877 + }, + { + "epoch": 0.42, + "grad_norm": 0.7617285904340407, + "learning_rate": 1.2991893260412093e-05, + "loss": 0.7379, + "step": 17878 + }, + { + "epoch": 0.42, + "grad_norm": 1.516337053724594, + "learning_rate": 1.2991165162678315e-05, + "loss": 0.8754, + "step": 17879 + }, + { + "epoch": 0.42, + "grad_norm": 0.7510540093748881, + "learning_rate": 1.2990437047529022e-05, + "loss": 0.7164, + "step": 17880 + }, + { + "epoch": 0.42, + "grad_norm": 1.5772893201274292, + "learning_rate": 1.298970891496846e-05, + "loss": 0.8852, + "step": 17881 + }, + { + "epoch": 0.42, + "grad_norm": 1.8643387581590534, + "learning_rate": 1.2988980765000867e-05, + "loss": 0.8622, + "step": 17882 + }, + { + "epoch": 0.42, + "grad_norm": 1.6301060859560916, + "learning_rate": 1.298825259763048e-05, + "loss": 0.9853, + "step": 17883 + }, + { + "epoch": 0.42, + "grad_norm": 1.6056848637816126, + "learning_rate": 1.298752441286154e-05, + "loss": 0.8717, + "step": 17884 + }, + { + "epoch": 0.42, + "grad_norm": 1.5881058567518163, + "learning_rate": 1.2986796210698288e-05, + "loss": 0.9783, + "step": 17885 + }, + { + "epoch": 0.42, + "grad_norm": 1.6851226393213241, + "learning_rate": 1.2986067991144963e-05, + "loss": 0.8469, + "step": 17886 + }, + { + "epoch": 0.42, + "grad_norm": 2.1095774105872818, + "learning_rate": 1.2985339754205806e-05, + "loss": 0.8719, + "step": 17887 + }, + { + "epoch": 0.42, + "grad_norm": 0.8482886868501827, + "learning_rate": 1.2984611499885053e-05, + "loss": 0.7772, + "step": 17888 + }, + { + "epoch": 0.42, + "grad_norm": 1.721850155748886, + "learning_rate": 1.2983883228186949e-05, + "loss": 0.8224, + "step": 17889 + }, + { + "epoch": 0.42, + "grad_norm": 1.7047762540413947, + "learning_rate": 1.2983154939115734e-05, + "loss": 0.9331, + "step": 17890 + }, + { + "epoch": 0.42, + "grad_norm": 1.747452172936446, + "learning_rate": 1.2982426632675641e-05, + "loss": 0.8917, + "step": 17891 + }, + { + "epoch": 0.42, + "grad_norm": 1.6982333736844932, + "learning_rate": 1.2981698308870923e-05, + "loss": 0.9183, + "step": 17892 + }, + { + "epoch": 0.42, + "grad_norm": 1.5264422005618903, + "learning_rate": 1.2980969967705806e-05, + "loss": 0.9047, + "step": 17893 + }, + { + "epoch": 0.42, + "grad_norm": 1.8818965101397696, + "learning_rate": 1.2980241609184546e-05, + "loss": 0.8894, + "step": 17894 + }, + { + "epoch": 0.42, + "grad_norm": 1.6904372666732814, + "learning_rate": 1.2979513233311367e-05, + "loss": 0.7904, + "step": 17895 + }, + { + "epoch": 0.42, + "grad_norm": 1.4383519820016835, + "learning_rate": 1.2978784840090526e-05, + "loss": 0.8991, + "step": 17896 + }, + { + "epoch": 0.42, + "grad_norm": 1.8744179757666057, + "learning_rate": 1.2978056429526254e-05, + "loss": 0.9064, + "step": 17897 + }, + { + "epoch": 0.42, + "grad_norm": 1.9234836146003358, + "learning_rate": 1.2977328001622793e-05, + "loss": 0.8117, + "step": 17898 + }, + { + "epoch": 0.42, + "grad_norm": 1.7540821460192246, + "learning_rate": 1.2976599556384385e-05, + "loss": 0.8946, + "step": 17899 + }, + { + "epoch": 0.42, + "grad_norm": 1.6286946917123746, + "learning_rate": 1.2975871093815275e-05, + "loss": 0.851, + "step": 17900 + }, + { + "epoch": 0.42, + "grad_norm": 3.2545777853240367, + "learning_rate": 1.2975142613919702e-05, + "loss": 0.9317, + "step": 17901 + }, + { + "epoch": 0.42, + "grad_norm": 1.975356868843869, + "learning_rate": 1.2974414116701903e-05, + "loss": 0.8912, + "step": 17902 + }, + { + "epoch": 0.42, + "grad_norm": 1.9024494587461183, + "learning_rate": 1.2973685602166129e-05, + "loss": 0.9532, + "step": 17903 + }, + { + "epoch": 0.42, + "grad_norm": 1.6405255569075812, + "learning_rate": 1.297295707031661e-05, + "loss": 0.7534, + "step": 17904 + }, + { + "epoch": 0.42, + "grad_norm": 1.7320909091414403, + "learning_rate": 1.2972228521157598e-05, + "loss": 0.8232, + "step": 17905 + }, + { + "epoch": 0.42, + "grad_norm": 1.7200929377637457, + "learning_rate": 1.2971499954693327e-05, + "loss": 0.8693, + "step": 17906 + }, + { + "epoch": 0.42, + "grad_norm": 1.821474609993956, + "learning_rate": 1.2970771370928045e-05, + "loss": 0.9356, + "step": 17907 + }, + { + "epoch": 0.42, + "grad_norm": 0.7265094358483971, + "learning_rate": 1.2970042769865992e-05, + "loss": 0.7637, + "step": 17908 + }, + { + "epoch": 0.42, + "grad_norm": 1.8189869059152135, + "learning_rate": 1.2969314151511407e-05, + "loss": 0.8003, + "step": 17909 + }, + { + "epoch": 0.42, + "grad_norm": 1.5404984494520795, + "learning_rate": 1.2968585515868537e-05, + "loss": 0.8947, + "step": 17910 + }, + { + "epoch": 0.42, + "grad_norm": 1.5979389294580568, + "learning_rate": 1.2967856862941623e-05, + "loss": 0.8846, + "step": 17911 + }, + { + "epoch": 0.42, + "grad_norm": 1.8098485825208879, + "learning_rate": 1.2967128192734903e-05, + "loss": 0.8187, + "step": 17912 + }, + { + "epoch": 0.42, + "grad_norm": 1.6611271366984501, + "learning_rate": 1.2966399505252628e-05, + "loss": 0.9841, + "step": 17913 + }, + { + "epoch": 0.42, + "grad_norm": 2.906513849593737, + "learning_rate": 1.2965670800499032e-05, + "loss": 0.8954, + "step": 17914 + }, + { + "epoch": 0.42, + "grad_norm": 1.888036956175318, + "learning_rate": 1.2964942078478365e-05, + "loss": 0.867, + "step": 17915 + }, + { + "epoch": 0.42, + "grad_norm": 1.7539560763360025, + "learning_rate": 1.2964213339194865e-05, + "loss": 0.8939, + "step": 17916 + }, + { + "epoch": 0.42, + "grad_norm": 1.6169481170660043, + "learning_rate": 1.2963484582652775e-05, + "loss": 0.9791, + "step": 17917 + }, + { + "epoch": 0.42, + "grad_norm": 2.423464573377525, + "learning_rate": 1.2962755808856341e-05, + "loss": 0.897, + "step": 17918 + }, + { + "epoch": 0.42, + "grad_norm": 2.107668751692523, + "learning_rate": 1.2962027017809804e-05, + "loss": 0.9063, + "step": 17919 + }, + { + "epoch": 0.42, + "grad_norm": 1.7700443580629224, + "learning_rate": 1.296129820951741e-05, + "loss": 0.9115, + "step": 17920 + }, + { + "epoch": 0.42, + "grad_norm": 1.684391534136726, + "learning_rate": 1.2960569383983397e-05, + "loss": 0.9386, + "step": 17921 + }, + { + "epoch": 0.42, + "grad_norm": 1.428835122963612, + "learning_rate": 1.2959840541212017e-05, + "loss": 0.8834, + "step": 17922 + }, + { + "epoch": 0.42, + "grad_norm": 1.5781639280842543, + "learning_rate": 1.29591116812075e-05, + "loss": 0.8672, + "step": 17923 + }, + { + "epoch": 0.42, + "grad_norm": 1.4758680784611948, + "learning_rate": 1.2958382803974106e-05, + "loss": 0.9257, + "step": 17924 + }, + { + "epoch": 0.42, + "grad_norm": 1.5093593344320646, + "learning_rate": 1.2957653909516065e-05, + "loss": 0.9836, + "step": 17925 + }, + { + "epoch": 0.42, + "grad_norm": 1.4766967442141488, + "learning_rate": 1.2956924997837633e-05, + "loss": 0.7814, + "step": 17926 + }, + { + "epoch": 0.42, + "grad_norm": 1.5914339490307816, + "learning_rate": 1.2956196068943043e-05, + "loss": 0.6896, + "step": 17927 + }, + { + "epoch": 0.42, + "grad_norm": 2.251438866768747, + "learning_rate": 1.2955467122836545e-05, + "loss": 0.7572, + "step": 17928 + }, + { + "epoch": 0.42, + "grad_norm": 1.698350869818794, + "learning_rate": 1.295473815952238e-05, + "loss": 1.0196, + "step": 17929 + }, + { + "epoch": 0.42, + "grad_norm": 2.002690967220908, + "learning_rate": 1.2954009179004794e-05, + "loss": 0.8824, + "step": 17930 + }, + { + "epoch": 0.42, + "grad_norm": 2.5472150703604726, + "learning_rate": 1.2953280181288033e-05, + "loss": 0.8118, + "step": 17931 + }, + { + "epoch": 0.42, + "grad_norm": 1.6323196456427478, + "learning_rate": 1.2952551166376339e-05, + "loss": 0.9923, + "step": 17932 + }, + { + "epoch": 0.42, + "grad_norm": 3.708276253210386, + "learning_rate": 1.2951822134273957e-05, + "loss": 0.9481, + "step": 17933 + }, + { + "epoch": 0.42, + "grad_norm": 0.8120406669160841, + "learning_rate": 1.2951093084985131e-05, + "loss": 0.7278, + "step": 17934 + }, + { + "epoch": 0.42, + "grad_norm": 1.628931012647213, + "learning_rate": 1.295036401851411e-05, + "loss": 0.8606, + "step": 17935 + }, + { + "epoch": 0.42, + "grad_norm": 2.2704850307726545, + "learning_rate": 1.2949634934865134e-05, + "loss": 1.008, + "step": 17936 + }, + { + "epoch": 0.42, + "grad_norm": 2.411013116944502, + "learning_rate": 1.294890583404245e-05, + "loss": 0.929, + "step": 17937 + }, + { + "epoch": 0.42, + "grad_norm": 1.5995450637342203, + "learning_rate": 1.29481767160503e-05, + "loss": 0.9556, + "step": 17938 + }, + { + "epoch": 0.42, + "grad_norm": 1.4877353064865613, + "learning_rate": 1.2947447580892933e-05, + "loss": 0.921, + "step": 17939 + }, + { + "epoch": 0.42, + "grad_norm": 1.5367102099776115, + "learning_rate": 1.2946718428574595e-05, + "loss": 0.904, + "step": 17940 + }, + { + "epoch": 0.42, + "grad_norm": 1.6024209550128685, + "learning_rate": 1.294598925909953e-05, + "loss": 0.8864, + "step": 17941 + }, + { + "epoch": 0.42, + "grad_norm": 1.5780024090470437, + "learning_rate": 1.294526007247198e-05, + "loss": 0.8474, + "step": 17942 + }, + { + "epoch": 0.42, + "grad_norm": 1.5700231491339507, + "learning_rate": 1.2944530868696194e-05, + "loss": 0.9492, + "step": 17943 + }, + { + "epoch": 0.42, + "grad_norm": 1.4056139667225467, + "learning_rate": 1.2943801647776418e-05, + "loss": 0.8159, + "step": 17944 + }, + { + "epoch": 0.42, + "grad_norm": 1.556024363967329, + "learning_rate": 1.2943072409716897e-05, + "loss": 0.8476, + "step": 17945 + }, + { + "epoch": 0.42, + "grad_norm": 1.755001367258458, + "learning_rate": 1.2942343154521875e-05, + "loss": 0.8106, + "step": 17946 + }, + { + "epoch": 0.42, + "grad_norm": 1.6985866955087887, + "learning_rate": 1.2941613882195601e-05, + "loss": 0.9465, + "step": 17947 + }, + { + "epoch": 0.42, + "grad_norm": 1.8460207877711903, + "learning_rate": 1.294088459274232e-05, + "loss": 0.8621, + "step": 17948 + }, + { + "epoch": 0.42, + "grad_norm": 1.4755879114932737, + "learning_rate": 1.2940155286166279e-05, + "loss": 0.9477, + "step": 17949 + }, + { + "epoch": 0.42, + "grad_norm": 1.5019862840968994, + "learning_rate": 1.2939425962471719e-05, + "loss": 0.928, + "step": 17950 + }, + { + "epoch": 0.42, + "grad_norm": 1.8620456535942378, + "learning_rate": 1.293869662166289e-05, + "loss": 1.0075, + "step": 17951 + }, + { + "epoch": 0.42, + "grad_norm": 1.5840089053184243, + "learning_rate": 1.2937967263744044e-05, + "loss": 0.9258, + "step": 17952 + }, + { + "epoch": 0.42, + "grad_norm": 1.6252905265414086, + "learning_rate": 1.2937237888719418e-05, + "loss": 0.8816, + "step": 17953 + }, + { + "epoch": 0.42, + "grad_norm": 2.072329699592405, + "learning_rate": 1.2936508496593268e-05, + "loss": 0.9151, + "step": 17954 + }, + { + "epoch": 0.42, + "grad_norm": 1.7665340264776759, + "learning_rate": 1.2935779087369832e-05, + "loss": 0.8868, + "step": 17955 + }, + { + "epoch": 0.42, + "grad_norm": 1.4896940500153173, + "learning_rate": 1.2935049661053363e-05, + "loss": 0.8636, + "step": 17956 + }, + { + "epoch": 0.42, + "grad_norm": 1.6937105058050261, + "learning_rate": 1.2934320217648101e-05, + "loss": 1.0249, + "step": 17957 + }, + { + "epoch": 0.42, + "grad_norm": 1.492863792212677, + "learning_rate": 1.2933590757158303e-05, + "loss": 0.8785, + "step": 17958 + }, + { + "epoch": 0.42, + "grad_norm": 2.117967409884998, + "learning_rate": 1.293286127958821e-05, + "loss": 0.9508, + "step": 17959 + }, + { + "epoch": 0.42, + "grad_norm": 1.8765171442124802, + "learning_rate": 1.2932131784942069e-05, + "loss": 0.9435, + "step": 17960 + }, + { + "epoch": 0.42, + "grad_norm": 1.6876315395475865, + "learning_rate": 1.2931402273224128e-05, + "loss": 0.8968, + "step": 17961 + }, + { + "epoch": 0.42, + "grad_norm": 2.0655450721902153, + "learning_rate": 1.2930672744438634e-05, + "loss": 0.9096, + "step": 17962 + }, + { + "epoch": 0.42, + "grad_norm": 2.5809070773490035, + "learning_rate": 1.2929943198589836e-05, + "loss": 0.8812, + "step": 17963 + }, + { + "epoch": 0.42, + "grad_norm": 1.805852285431323, + "learning_rate": 1.2929213635681983e-05, + "loss": 0.8609, + "step": 17964 + }, + { + "epoch": 0.42, + "grad_norm": 1.8843184988636108, + "learning_rate": 1.292848405571932e-05, + "loss": 0.9417, + "step": 17965 + }, + { + "epoch": 0.42, + "grad_norm": 1.4511021135069824, + "learning_rate": 1.2927754458706094e-05, + "loss": 0.8148, + "step": 17966 + }, + { + "epoch": 0.42, + "grad_norm": 1.5783171892651549, + "learning_rate": 1.2927024844646556e-05, + "loss": 0.9336, + "step": 17967 + }, + { + "epoch": 0.42, + "grad_norm": 1.6949340719765587, + "learning_rate": 1.2926295213544953e-05, + "loss": 0.8383, + "step": 17968 + }, + { + "epoch": 0.42, + "grad_norm": 1.6989048227139936, + "learning_rate": 1.2925565565405536e-05, + "loss": 0.9337, + "step": 17969 + }, + { + "epoch": 0.42, + "grad_norm": 1.8705308651025152, + "learning_rate": 1.2924835900232542e-05, + "loss": 0.8115, + "step": 17970 + }, + { + "epoch": 0.42, + "grad_norm": 2.21911986398871, + "learning_rate": 1.2924106218030235e-05, + "loss": 0.8031, + "step": 17971 + }, + { + "epoch": 0.42, + "grad_norm": 1.668044554445292, + "learning_rate": 1.292337651880285e-05, + "loss": 0.7955, + "step": 17972 + }, + { + "epoch": 0.42, + "grad_norm": 2.111057620001355, + "learning_rate": 1.2922646802554649e-05, + "loss": 0.9522, + "step": 17973 + }, + { + "epoch": 0.42, + "grad_norm": 1.4225863510525223, + "learning_rate": 1.2921917069289864e-05, + "loss": 0.8119, + "step": 17974 + }, + { + "epoch": 0.42, + "grad_norm": 1.6027936740425717, + "learning_rate": 1.2921187319012761e-05, + "loss": 0.8676, + "step": 17975 + }, + { + "epoch": 0.42, + "grad_norm": 1.695840941742233, + "learning_rate": 1.2920457551727575e-05, + "loss": 0.868, + "step": 17976 + }, + { + "epoch": 0.42, + "grad_norm": 1.6918907174085318, + "learning_rate": 1.2919727767438562e-05, + "loss": 0.8526, + "step": 17977 + }, + { + "epoch": 0.42, + "grad_norm": 1.63079988574912, + "learning_rate": 1.2918997966149969e-05, + "loss": 1.0477, + "step": 17978 + }, + { + "epoch": 0.42, + "grad_norm": 1.6082712706859699, + "learning_rate": 1.2918268147866047e-05, + "loss": 0.7567, + "step": 17979 + }, + { + "epoch": 0.42, + "grad_norm": 1.9671751627668226, + "learning_rate": 1.2917538312591043e-05, + "loss": 0.853, + "step": 17980 + }, + { + "epoch": 0.42, + "grad_norm": 1.8883327300414092, + "learning_rate": 1.2916808460329206e-05, + "loss": 0.9773, + "step": 17981 + }, + { + "epoch": 0.42, + "grad_norm": 1.4894702623826055, + "learning_rate": 1.2916078591084788e-05, + "loss": 0.7936, + "step": 17982 + }, + { + "epoch": 0.42, + "grad_norm": 1.8502530661990233, + "learning_rate": 1.291534870486204e-05, + "loss": 0.9419, + "step": 17983 + }, + { + "epoch": 0.42, + "grad_norm": 1.589594997373097, + "learning_rate": 1.2914618801665205e-05, + "loss": 0.9428, + "step": 17984 + }, + { + "epoch": 0.42, + "grad_norm": 1.6637693506385054, + "learning_rate": 1.2913888881498537e-05, + "loss": 0.9411, + "step": 17985 + }, + { + "epoch": 0.42, + "grad_norm": 0.7634616198070707, + "learning_rate": 1.2913158944366286e-05, + "loss": 0.757, + "step": 17986 + }, + { + "epoch": 0.42, + "grad_norm": 0.8052726314548393, + "learning_rate": 1.2912428990272704e-05, + "loss": 0.7273, + "step": 17987 + }, + { + "epoch": 0.42, + "grad_norm": 1.4716164083733876, + "learning_rate": 1.2911699019222035e-05, + "loss": 0.8894, + "step": 17988 + }, + { + "epoch": 0.42, + "grad_norm": 1.6479629921160959, + "learning_rate": 1.2910969031218532e-05, + "loss": 0.8706, + "step": 17989 + }, + { + "epoch": 0.42, + "grad_norm": 1.558532268725037, + "learning_rate": 1.2910239026266446e-05, + "loss": 0.8666, + "step": 17990 + }, + { + "epoch": 0.42, + "grad_norm": 1.5890197161580146, + "learning_rate": 1.290950900437003e-05, + "loss": 0.8543, + "step": 17991 + }, + { + "epoch": 0.42, + "grad_norm": 1.795167480246627, + "learning_rate": 1.2908778965533533e-05, + "loss": 0.9479, + "step": 17992 + }, + { + "epoch": 0.42, + "grad_norm": 0.7108570081925987, + "learning_rate": 1.2908048909761197e-05, + "loss": 0.7324, + "step": 17993 + }, + { + "epoch": 0.42, + "grad_norm": 1.7755562487466754, + "learning_rate": 1.2907318837057286e-05, + "loss": 0.8593, + "step": 17994 + }, + { + "epoch": 0.42, + "grad_norm": 1.8967792564901043, + "learning_rate": 1.2906588747426038e-05, + "loss": 0.8846, + "step": 17995 + }, + { + "epoch": 0.42, + "grad_norm": 1.7138322835306494, + "learning_rate": 1.2905858640871717e-05, + "loss": 0.8436, + "step": 17996 + }, + { + "epoch": 0.42, + "grad_norm": 0.7859339749691073, + "learning_rate": 1.2905128517398562e-05, + "loss": 0.7959, + "step": 17997 + }, + { + "epoch": 0.42, + "grad_norm": 1.8694706655509734, + "learning_rate": 1.2904398377010832e-05, + "loss": 0.8295, + "step": 17998 + }, + { + "epoch": 0.42, + "grad_norm": 1.5420075315994872, + "learning_rate": 1.2903668219712773e-05, + "loss": 0.8433, + "step": 17999 + }, + { + "epoch": 0.42, + "grad_norm": 3.4215775105692465, + "learning_rate": 1.2902938045508638e-05, + "loss": 0.8835, + "step": 18000 + }, + { + "epoch": 0.42, + "grad_norm": 1.8055259465506643, + "learning_rate": 1.2902207854402682e-05, + "loss": 0.7439, + "step": 18001 + }, + { + "epoch": 0.42, + "grad_norm": 1.4852246232829673, + "learning_rate": 1.2901477646399147e-05, + "loss": 0.8147, + "step": 18002 + }, + { + "epoch": 0.42, + "grad_norm": 3.3349772966396953, + "learning_rate": 1.2900747421502297e-05, + "loss": 0.8823, + "step": 18003 + }, + { + "epoch": 0.42, + "grad_norm": 1.4425551429016863, + "learning_rate": 1.2900017179716373e-05, + "loss": 0.8247, + "step": 18004 + }, + { + "epoch": 0.42, + "grad_norm": 1.43857242945152, + "learning_rate": 1.2899286921045633e-05, + "loss": 0.8966, + "step": 18005 + }, + { + "epoch": 0.42, + "grad_norm": 1.684041556738538, + "learning_rate": 1.2898556645494327e-05, + "loss": 0.8448, + "step": 18006 + }, + { + "epoch": 0.42, + "grad_norm": 0.7952601971716959, + "learning_rate": 1.2897826353066705e-05, + "loss": 0.7152, + "step": 18007 + }, + { + "epoch": 0.42, + "grad_norm": 0.7443155135748692, + "learning_rate": 1.289709604376702e-05, + "loss": 0.6838, + "step": 18008 + }, + { + "epoch": 0.42, + "grad_norm": 1.552172892270324, + "learning_rate": 1.2896365717599526e-05, + "loss": 0.9384, + "step": 18009 + }, + { + "epoch": 0.42, + "grad_norm": 1.7280598157488485, + "learning_rate": 1.2895635374568474e-05, + "loss": 0.8703, + "step": 18010 + }, + { + "epoch": 0.42, + "grad_norm": 1.839257921809358, + "learning_rate": 1.2894905014678117e-05, + "loss": 0.9789, + "step": 18011 + }, + { + "epoch": 0.42, + "grad_norm": 2.6047719248549774, + "learning_rate": 1.2894174637932703e-05, + "loss": 0.8265, + "step": 18012 + }, + { + "epoch": 0.42, + "grad_norm": 2.0409948131193785, + "learning_rate": 1.289344424433649e-05, + "loss": 0.8781, + "step": 18013 + }, + { + "epoch": 0.42, + "grad_norm": 1.5603665927627899, + "learning_rate": 1.2892713833893731e-05, + "loss": 0.9099, + "step": 18014 + }, + { + "epoch": 0.42, + "grad_norm": 1.9683047155569626, + "learning_rate": 1.2891983406608673e-05, + "loss": 0.7426, + "step": 18015 + }, + { + "epoch": 0.42, + "grad_norm": 1.781639296828722, + "learning_rate": 1.2891252962485573e-05, + "loss": 1.0386, + "step": 18016 + }, + { + "epoch": 0.42, + "grad_norm": 1.5610170627702233, + "learning_rate": 1.2890522501528682e-05, + "loss": 0.8461, + "step": 18017 + }, + { + "epoch": 0.42, + "grad_norm": 1.7649616763405693, + "learning_rate": 1.2889792023742253e-05, + "loss": 0.9249, + "step": 18018 + }, + { + "epoch": 0.42, + "grad_norm": 1.4881274633029415, + "learning_rate": 1.2889061529130542e-05, + "loss": 0.9806, + "step": 18019 + }, + { + "epoch": 0.42, + "grad_norm": 1.6212294289458882, + "learning_rate": 1.2888331017697804e-05, + "loss": 0.8443, + "step": 18020 + }, + { + "epoch": 0.42, + "grad_norm": 1.560233195478341, + "learning_rate": 1.2887600489448282e-05, + "loss": 0.9073, + "step": 18021 + }, + { + "epoch": 0.42, + "grad_norm": 1.6936105543544084, + "learning_rate": 1.2886869944386237e-05, + "loss": 0.8448, + "step": 18022 + }, + { + "epoch": 0.42, + "grad_norm": 1.4695713764263163, + "learning_rate": 1.2886139382515924e-05, + "loss": 0.7615, + "step": 18023 + }, + { + "epoch": 0.42, + "grad_norm": 0.741043712686792, + "learning_rate": 1.2885408803841593e-05, + "loss": 0.7431, + "step": 18024 + }, + { + "epoch": 0.42, + "grad_norm": 1.6053659784414316, + "learning_rate": 1.2884678208367493e-05, + "loss": 0.8494, + "step": 18025 + }, + { + "epoch": 0.42, + "grad_norm": 2.7266793730450956, + "learning_rate": 1.288394759609789e-05, + "loss": 0.9802, + "step": 18026 + }, + { + "epoch": 0.42, + "grad_norm": 1.7623747506068665, + "learning_rate": 1.2883216967037029e-05, + "loss": 0.7887, + "step": 18027 + }, + { + "epoch": 0.42, + "grad_norm": 1.5233127805622761, + "learning_rate": 1.2882486321189165e-05, + "loss": 0.9162, + "step": 18028 + }, + { + "epoch": 0.42, + "grad_norm": 1.9147989482659775, + "learning_rate": 1.2881755658558555e-05, + "loss": 0.7957, + "step": 18029 + }, + { + "epoch": 0.42, + "grad_norm": 1.7297252049791776, + "learning_rate": 1.2881024979149448e-05, + "loss": 0.8999, + "step": 18030 + }, + { + "epoch": 0.42, + "grad_norm": 1.6870598035900282, + "learning_rate": 1.2880294282966104e-05, + "loss": 0.8482, + "step": 18031 + }, + { + "epoch": 0.42, + "grad_norm": 0.7315902415378194, + "learning_rate": 1.2879563570012773e-05, + "loss": 0.7299, + "step": 18032 + }, + { + "epoch": 0.42, + "grad_norm": 1.6201947482263783, + "learning_rate": 1.2878832840293713e-05, + "loss": 0.8913, + "step": 18033 + }, + { + "epoch": 0.42, + "grad_norm": 1.468535555525804, + "learning_rate": 1.2878102093813176e-05, + "loss": 0.8842, + "step": 18034 + }, + { + "epoch": 0.42, + "grad_norm": 2.5323511334538154, + "learning_rate": 1.287737133057542e-05, + "loss": 0.9082, + "step": 18035 + }, + { + "epoch": 0.42, + "grad_norm": 0.8175439301937605, + "learning_rate": 1.2876640550584693e-05, + "loss": 0.7533, + "step": 18036 + }, + { + "epoch": 0.42, + "grad_norm": 1.5981899247415652, + "learning_rate": 1.2875909753845255e-05, + "loss": 0.7946, + "step": 18037 + }, + { + "epoch": 0.42, + "grad_norm": 1.8439638056438599, + "learning_rate": 1.2875178940361361e-05, + "loss": 0.926, + "step": 18038 + }, + { + "epoch": 0.42, + "grad_norm": 1.6312436622940352, + "learning_rate": 1.2874448110137263e-05, + "loss": 0.8463, + "step": 18039 + }, + { + "epoch": 0.43, + "grad_norm": 1.8958796441882346, + "learning_rate": 1.2873717263177221e-05, + "loss": 0.949, + "step": 18040 + }, + { + "epoch": 0.43, + "grad_norm": 1.9376244575609791, + "learning_rate": 1.2872986399485487e-05, + "loss": 0.9082, + "step": 18041 + }, + { + "epoch": 0.43, + "grad_norm": 1.6647793148076735, + "learning_rate": 1.2872255519066314e-05, + "loss": 0.7812, + "step": 18042 + }, + { + "epoch": 0.43, + "grad_norm": 1.6289484803082244, + "learning_rate": 1.2871524621923963e-05, + "loss": 0.7916, + "step": 18043 + }, + { + "epoch": 0.43, + "grad_norm": 4.833820656775926, + "learning_rate": 1.2870793708062684e-05, + "loss": 0.9316, + "step": 18044 + }, + { + "epoch": 0.43, + "grad_norm": 4.056852603187017, + "learning_rate": 1.2870062777486738e-05, + "loss": 1.0016, + "step": 18045 + }, + { + "epoch": 0.43, + "grad_norm": 1.7440982678265124, + "learning_rate": 1.2869331830200374e-05, + "loss": 0.8696, + "step": 18046 + }, + { + "epoch": 0.43, + "grad_norm": 1.6503742984487564, + "learning_rate": 1.2868600866207856e-05, + "loss": 0.9288, + "step": 18047 + }, + { + "epoch": 0.43, + "grad_norm": 1.824840986982623, + "learning_rate": 1.2867869885513432e-05, + "loss": 0.817, + "step": 18048 + }, + { + "epoch": 0.43, + "grad_norm": 1.902199290088178, + "learning_rate": 1.2867138888121362e-05, + "loss": 0.9692, + "step": 18049 + }, + { + "epoch": 0.43, + "grad_norm": 1.6449126198659303, + "learning_rate": 1.2866407874035904e-05, + "loss": 0.9453, + "step": 18050 + }, + { + "epoch": 0.43, + "grad_norm": 1.5435068776907277, + "learning_rate": 1.2865676843261308e-05, + "loss": 0.9702, + "step": 18051 + }, + { + "epoch": 0.43, + "grad_norm": 1.7073966959592066, + "learning_rate": 1.2864945795801837e-05, + "loss": 0.9467, + "step": 18052 + }, + { + "epoch": 0.43, + "grad_norm": 1.772418445282735, + "learning_rate": 1.2864214731661743e-05, + "loss": 0.9556, + "step": 18053 + }, + { + "epoch": 0.43, + "grad_norm": 1.7695153382514344, + "learning_rate": 1.2863483650845288e-05, + "loss": 0.802, + "step": 18054 + }, + { + "epoch": 0.43, + "grad_norm": 1.814701071641801, + "learning_rate": 1.2862752553356721e-05, + "loss": 0.7682, + "step": 18055 + }, + { + "epoch": 0.43, + "grad_norm": 1.6016042022284012, + "learning_rate": 1.2862021439200306e-05, + "loss": 0.8493, + "step": 18056 + }, + { + "epoch": 0.43, + "grad_norm": 0.7794176620705839, + "learning_rate": 1.2861290308380289e-05, + "loss": 0.7641, + "step": 18057 + }, + { + "epoch": 0.43, + "grad_norm": 1.4734055564951123, + "learning_rate": 1.286055916090094e-05, + "loss": 0.8404, + "step": 18058 + }, + { + "epoch": 0.43, + "grad_norm": 1.761878885534444, + "learning_rate": 1.2859827996766508e-05, + "loss": 0.8201, + "step": 18059 + }, + { + "epoch": 0.43, + "grad_norm": 1.6379481629671562, + "learning_rate": 1.2859096815981254e-05, + "loss": 0.7794, + "step": 18060 + }, + { + "epoch": 0.43, + "grad_norm": 1.8792236439174106, + "learning_rate": 1.285836561854943e-05, + "loss": 0.9333, + "step": 18061 + }, + { + "epoch": 0.43, + "grad_norm": 1.8875119258630615, + "learning_rate": 1.2857634404475297e-05, + "loss": 0.865, + "step": 18062 + }, + { + "epoch": 0.43, + "grad_norm": 2.2977994291734136, + "learning_rate": 1.2856903173763114e-05, + "loss": 0.9012, + "step": 18063 + }, + { + "epoch": 0.43, + "grad_norm": 1.7698990779373114, + "learning_rate": 1.2856171926417134e-05, + "loss": 0.8592, + "step": 18064 + }, + { + "epoch": 0.43, + "grad_norm": 1.6179715569676494, + "learning_rate": 1.2855440662441617e-05, + "loss": 0.792, + "step": 18065 + }, + { + "epoch": 0.43, + "grad_norm": 1.5852305576711834, + "learning_rate": 1.285470938184082e-05, + "loss": 0.9301, + "step": 18066 + }, + { + "epoch": 0.43, + "grad_norm": 1.6497299504728822, + "learning_rate": 1.2853978084619004e-05, + "loss": 0.9902, + "step": 18067 + }, + { + "epoch": 0.43, + "grad_norm": 2.15182444152932, + "learning_rate": 1.285324677078042e-05, + "loss": 0.8372, + "step": 18068 + }, + { + "epoch": 0.43, + "grad_norm": 2.2200435557698635, + "learning_rate": 1.2852515440329331e-05, + "loss": 0.8968, + "step": 18069 + }, + { + "epoch": 0.43, + "grad_norm": 0.8179612441339644, + "learning_rate": 1.2851784093269997e-05, + "loss": 0.7886, + "step": 18070 + }, + { + "epoch": 0.43, + "grad_norm": 1.5910344767274611, + "learning_rate": 1.2851052729606673e-05, + "loss": 0.7616, + "step": 18071 + }, + { + "epoch": 0.43, + "grad_norm": 1.4795297725706422, + "learning_rate": 1.2850321349343613e-05, + "loss": 0.9107, + "step": 18072 + }, + { + "epoch": 0.43, + "grad_norm": 2.9305953589897884, + "learning_rate": 1.2849589952485084e-05, + "loss": 0.9581, + "step": 18073 + }, + { + "epoch": 0.43, + "grad_norm": 1.646489855277369, + "learning_rate": 1.2848858539035339e-05, + "loss": 0.7148, + "step": 18074 + }, + { + "epoch": 0.43, + "grad_norm": 1.8537410263260832, + "learning_rate": 1.2848127108998638e-05, + "loss": 0.8907, + "step": 18075 + }, + { + "epoch": 0.43, + "grad_norm": 1.624396500229369, + "learning_rate": 1.2847395662379236e-05, + "loss": 0.8012, + "step": 18076 + }, + { + "epoch": 0.43, + "grad_norm": 1.6202391528925146, + "learning_rate": 1.28466641991814e-05, + "loss": 0.9972, + "step": 18077 + }, + { + "epoch": 0.43, + "grad_norm": 1.4399903879844338, + "learning_rate": 1.284593271940938e-05, + "loss": 0.8562, + "step": 18078 + }, + { + "epoch": 0.43, + "grad_norm": 0.7908613819868229, + "learning_rate": 1.2845201223067441e-05, + "loss": 0.7379, + "step": 18079 + }, + { + "epoch": 0.43, + "grad_norm": 1.7402257494138715, + "learning_rate": 1.2844469710159837e-05, + "loss": 0.8783, + "step": 18080 + }, + { + "epoch": 0.43, + "grad_norm": 1.645591489191759, + "learning_rate": 1.2843738180690833e-05, + "loss": 0.8438, + "step": 18081 + }, + { + "epoch": 0.43, + "grad_norm": 1.5287000981006655, + "learning_rate": 1.2843006634664683e-05, + "loss": 0.8442, + "step": 18082 + }, + { + "epoch": 0.43, + "grad_norm": 1.600636865385744, + "learning_rate": 1.2842275072085649e-05, + "loss": 0.8447, + "step": 18083 + }, + { + "epoch": 0.43, + "grad_norm": 1.669992317803949, + "learning_rate": 1.2841543492957988e-05, + "loss": 0.8837, + "step": 18084 + }, + { + "epoch": 0.43, + "grad_norm": 3.2850819425260025, + "learning_rate": 1.2840811897285963e-05, + "loss": 1.0461, + "step": 18085 + }, + { + "epoch": 0.43, + "grad_norm": 1.6889676833342575, + "learning_rate": 1.284008028507383e-05, + "loss": 0.8742, + "step": 18086 + }, + { + "epoch": 0.43, + "grad_norm": 1.6744596985842233, + "learning_rate": 1.2839348656325851e-05, + "loss": 0.9221, + "step": 18087 + }, + { + "epoch": 0.43, + "grad_norm": 1.5630904095132445, + "learning_rate": 1.2838617011046288e-05, + "loss": 0.8073, + "step": 18088 + }, + { + "epoch": 0.43, + "grad_norm": 1.6608402435822691, + "learning_rate": 1.2837885349239396e-05, + "loss": 0.8641, + "step": 18089 + }, + { + "epoch": 0.43, + "grad_norm": 0.7618190303535289, + "learning_rate": 1.2837153670909437e-05, + "loss": 0.748, + "step": 18090 + }, + { + "epoch": 0.43, + "grad_norm": 1.6888517354190442, + "learning_rate": 1.2836421976060672e-05, + "loss": 0.8741, + "step": 18091 + }, + { + "epoch": 0.43, + "grad_norm": 1.8726294309840037, + "learning_rate": 1.283569026469736e-05, + "loss": 0.9172, + "step": 18092 + }, + { + "epoch": 0.43, + "grad_norm": 1.6208194770122293, + "learning_rate": 1.2834958536823758e-05, + "loss": 0.9113, + "step": 18093 + }, + { + "epoch": 0.43, + "grad_norm": 1.4751734087502377, + "learning_rate": 1.2834226792444136e-05, + "loss": 0.9139, + "step": 18094 + }, + { + "epoch": 0.43, + "grad_norm": 1.6962227163945105, + "learning_rate": 1.2833495031562744e-05, + "loss": 0.8553, + "step": 18095 + }, + { + "epoch": 0.43, + "grad_norm": 1.793418223224445, + "learning_rate": 1.283276325418385e-05, + "loss": 0.9302, + "step": 18096 + }, + { + "epoch": 0.43, + "grad_norm": 2.5316995576726837, + "learning_rate": 1.2832031460311707e-05, + "loss": 0.7749, + "step": 18097 + }, + { + "epoch": 0.43, + "grad_norm": 1.6020560490130082, + "learning_rate": 1.2831299649950582e-05, + "loss": 0.933, + "step": 18098 + }, + { + "epoch": 0.43, + "grad_norm": 1.6896373099534576, + "learning_rate": 1.2830567823104736e-05, + "loss": 0.9507, + "step": 18099 + }, + { + "epoch": 0.43, + "grad_norm": 1.5634456145388407, + "learning_rate": 1.2829835979778424e-05, + "loss": 0.8822, + "step": 18100 + }, + { + "epoch": 0.43, + "grad_norm": 1.4856092610089244, + "learning_rate": 1.2829104119975917e-05, + "loss": 0.7532, + "step": 18101 + }, + { + "epoch": 0.43, + "grad_norm": 1.5343353235527946, + "learning_rate": 1.2828372243701463e-05, + "loss": 0.8034, + "step": 18102 + }, + { + "epoch": 0.43, + "grad_norm": 1.7805368523304437, + "learning_rate": 1.2827640350959338e-05, + "loss": 0.9087, + "step": 18103 + }, + { + "epoch": 0.43, + "grad_norm": 1.7850815719860258, + "learning_rate": 1.2826908441753789e-05, + "loss": 0.8643, + "step": 18104 + }, + { + "epoch": 0.43, + "grad_norm": 1.8071622731406827, + "learning_rate": 1.2826176516089088e-05, + "loss": 0.9204, + "step": 18105 + }, + { + "epoch": 0.43, + "grad_norm": 1.8776577774616248, + "learning_rate": 1.2825444573969494e-05, + "loss": 0.9249, + "step": 18106 + }, + { + "epoch": 0.43, + "grad_norm": 1.629974884540499, + "learning_rate": 1.2824712615399264e-05, + "loss": 0.8727, + "step": 18107 + }, + { + "epoch": 0.43, + "grad_norm": 1.6103552856172385, + "learning_rate": 1.2823980640382663e-05, + "loss": 0.8855, + "step": 18108 + }, + { + "epoch": 0.43, + "grad_norm": 1.795379288040788, + "learning_rate": 1.2823248648923954e-05, + "loss": 0.8854, + "step": 18109 + }, + { + "epoch": 0.43, + "grad_norm": 1.7091865490127347, + "learning_rate": 1.2822516641027396e-05, + "loss": 0.9556, + "step": 18110 + }, + { + "epoch": 0.43, + "grad_norm": 1.5619472835516137, + "learning_rate": 1.2821784616697253e-05, + "loss": 0.8634, + "step": 18111 + }, + { + "epoch": 0.43, + "grad_norm": 1.5789962467591983, + "learning_rate": 1.2821052575937786e-05, + "loss": 0.8538, + "step": 18112 + }, + { + "epoch": 0.43, + "grad_norm": 1.6314075669343238, + "learning_rate": 1.282032051875326e-05, + "loss": 0.8478, + "step": 18113 + }, + { + "epoch": 0.43, + "grad_norm": 1.4550691935965991, + "learning_rate": 1.2819588445147932e-05, + "loss": 0.907, + "step": 18114 + }, + { + "epoch": 0.43, + "grad_norm": 1.7706454850002213, + "learning_rate": 1.2818856355126071e-05, + "loss": 0.8121, + "step": 18115 + }, + { + "epoch": 0.43, + "grad_norm": 1.4726050167031846, + "learning_rate": 1.2818124248691932e-05, + "loss": 0.7651, + "step": 18116 + }, + { + "epoch": 0.43, + "grad_norm": 1.7273056473078865, + "learning_rate": 1.2817392125849785e-05, + "loss": 0.9351, + "step": 18117 + }, + { + "epoch": 0.43, + "grad_norm": 1.649228843530059, + "learning_rate": 1.2816659986603887e-05, + "loss": 0.9909, + "step": 18118 + }, + { + "epoch": 0.43, + "grad_norm": 1.8648459447449823, + "learning_rate": 1.2815927830958504e-05, + "loss": 0.8644, + "step": 18119 + }, + { + "epoch": 0.43, + "grad_norm": 2.558075905050804, + "learning_rate": 1.2815195658917896e-05, + "loss": 0.819, + "step": 18120 + }, + { + "epoch": 0.43, + "grad_norm": 0.7672087591352212, + "learning_rate": 1.2814463470486329e-05, + "loss": 0.7288, + "step": 18121 + }, + { + "epoch": 0.43, + "grad_norm": 1.8246558890622417, + "learning_rate": 1.2813731265668066e-05, + "loss": 0.8812, + "step": 18122 + }, + { + "epoch": 0.43, + "grad_norm": 1.4841736822873384, + "learning_rate": 1.2812999044467364e-05, + "loss": 0.8636, + "step": 18123 + }, + { + "epoch": 0.43, + "grad_norm": 1.761500800791249, + "learning_rate": 1.2812266806888496e-05, + "loss": 0.9021, + "step": 18124 + }, + { + "epoch": 0.43, + "grad_norm": 1.6399684133212866, + "learning_rate": 1.2811534552935716e-05, + "loss": 0.9082, + "step": 18125 + }, + { + "epoch": 0.43, + "grad_norm": 1.4876677809357306, + "learning_rate": 1.2810802282613297e-05, + "loss": 0.9597, + "step": 18126 + }, + { + "epoch": 0.43, + "grad_norm": 1.6838257375596344, + "learning_rate": 1.2810069995925491e-05, + "loss": 0.9058, + "step": 18127 + }, + { + "epoch": 0.43, + "grad_norm": 1.4988971332372507, + "learning_rate": 1.2809337692876573e-05, + "loss": 0.8123, + "step": 18128 + }, + { + "epoch": 0.43, + "grad_norm": 1.6713728469172124, + "learning_rate": 1.2808605373470799e-05, + "loss": 0.8805, + "step": 18129 + }, + { + "epoch": 0.43, + "grad_norm": 2.402145735984714, + "learning_rate": 1.2807873037712437e-05, + "loss": 0.8281, + "step": 18130 + }, + { + "epoch": 0.43, + "grad_norm": 1.659300387672471, + "learning_rate": 1.2807140685605748e-05, + "loss": 0.8867, + "step": 18131 + }, + { + "epoch": 0.43, + "grad_norm": 1.777069073503282, + "learning_rate": 1.2806408317154997e-05, + "loss": 0.9128, + "step": 18132 + }, + { + "epoch": 0.43, + "grad_norm": 2.152864503545277, + "learning_rate": 1.2805675932364449e-05, + "loss": 0.8068, + "step": 18133 + }, + { + "epoch": 0.43, + "grad_norm": 1.941175655527147, + "learning_rate": 1.2804943531238366e-05, + "loss": 0.8752, + "step": 18134 + }, + { + "epoch": 0.43, + "grad_norm": 1.5208154072944957, + "learning_rate": 1.2804211113781016e-05, + "loss": 0.8835, + "step": 18135 + }, + { + "epoch": 0.43, + "grad_norm": 2.699514220619898, + "learning_rate": 1.280347867999666e-05, + "loss": 0.953, + "step": 18136 + }, + { + "epoch": 0.43, + "grad_norm": 1.5970270417728745, + "learning_rate": 1.2802746229889563e-05, + "loss": 0.9447, + "step": 18137 + }, + { + "epoch": 0.43, + "grad_norm": 1.7115162567536049, + "learning_rate": 1.280201376346399e-05, + "loss": 0.7913, + "step": 18138 + }, + { + "epoch": 0.43, + "grad_norm": 1.6212257372815142, + "learning_rate": 1.2801281280724207e-05, + "loss": 0.956, + "step": 18139 + }, + { + "epoch": 0.43, + "grad_norm": 1.4346824909532296, + "learning_rate": 1.2800548781674476e-05, + "loss": 0.8476, + "step": 18140 + }, + { + "epoch": 0.43, + "grad_norm": 1.5197894002084873, + "learning_rate": 1.2799816266319062e-05, + "loss": 1.0197, + "step": 18141 + }, + { + "epoch": 0.43, + "grad_norm": 0.7989725380630084, + "learning_rate": 1.2799083734662237e-05, + "loss": 0.7641, + "step": 18142 + }, + { + "epoch": 0.43, + "grad_norm": 1.5707448313356347, + "learning_rate": 1.2798351186708258e-05, + "loss": 0.8534, + "step": 18143 + }, + { + "epoch": 0.43, + "grad_norm": 2.2517544645926586, + "learning_rate": 1.2797618622461387e-05, + "loss": 0.9249, + "step": 18144 + }, + { + "epoch": 0.43, + "grad_norm": 1.54735431300082, + "learning_rate": 1.2796886041925903e-05, + "loss": 1.0007, + "step": 18145 + }, + { + "epoch": 0.43, + "grad_norm": 1.5023096608428228, + "learning_rate": 1.2796153445106057e-05, + "loss": 0.898, + "step": 18146 + }, + { + "epoch": 0.43, + "grad_norm": 1.7501039862937346, + "learning_rate": 1.279542083200612e-05, + "loss": 0.9025, + "step": 18147 + }, + { + "epoch": 0.43, + "grad_norm": 1.5480145568648276, + "learning_rate": 1.2794688202630361e-05, + "loss": 0.8714, + "step": 18148 + }, + { + "epoch": 0.43, + "grad_norm": 2.0782452633859676, + "learning_rate": 1.2793955556983042e-05, + "loss": 0.7495, + "step": 18149 + }, + { + "epoch": 0.43, + "grad_norm": 1.6147797905517896, + "learning_rate": 1.2793222895068431e-05, + "loss": 0.7818, + "step": 18150 + }, + { + "epoch": 0.43, + "grad_norm": 1.6753264283718075, + "learning_rate": 1.2792490216890786e-05, + "loss": 0.9327, + "step": 18151 + }, + { + "epoch": 0.43, + "grad_norm": 1.654996847538567, + "learning_rate": 1.2791757522454387e-05, + "loss": 1.0614, + "step": 18152 + }, + { + "epoch": 0.43, + "grad_norm": 1.477233808483804, + "learning_rate": 1.2791024811763484e-05, + "loss": 0.7607, + "step": 18153 + }, + { + "epoch": 0.43, + "grad_norm": 2.1181199360952943, + "learning_rate": 1.2790292084822355e-05, + "loss": 0.9754, + "step": 18154 + }, + { + "epoch": 0.43, + "grad_norm": 1.742249339372961, + "learning_rate": 1.278955934163526e-05, + "loss": 0.7594, + "step": 18155 + }, + { + "epoch": 0.43, + "grad_norm": 1.4562011965011135, + "learning_rate": 1.2788826582206473e-05, + "loss": 0.8174, + "step": 18156 + }, + { + "epoch": 0.43, + "grad_norm": 1.7748224140565039, + "learning_rate": 1.2788093806540249e-05, + "loss": 0.8695, + "step": 18157 + }, + { + "epoch": 0.43, + "grad_norm": 1.6927762375295463, + "learning_rate": 1.2787361014640862e-05, + "loss": 0.9104, + "step": 18158 + }, + { + "epoch": 0.43, + "grad_norm": 1.7228835216255594, + "learning_rate": 1.2786628206512577e-05, + "loss": 0.8516, + "step": 18159 + }, + { + "epoch": 0.43, + "grad_norm": 1.9957317732372257, + "learning_rate": 1.2785895382159658e-05, + "loss": 0.8908, + "step": 18160 + }, + { + "epoch": 0.43, + "grad_norm": 1.6041813419492792, + "learning_rate": 1.2785162541586378e-05, + "loss": 0.9625, + "step": 18161 + }, + { + "epoch": 0.43, + "grad_norm": 1.7135663046744865, + "learning_rate": 1.2784429684796997e-05, + "loss": 0.7601, + "step": 18162 + }, + { + "epoch": 0.43, + "grad_norm": 1.525751682051214, + "learning_rate": 1.2783696811795787e-05, + "loss": 0.7542, + "step": 18163 + }, + { + "epoch": 0.43, + "grad_norm": 1.7087073652184472, + "learning_rate": 1.278296392258701e-05, + "loss": 0.8144, + "step": 18164 + }, + { + "epoch": 0.43, + "grad_norm": 1.4822119953984223, + "learning_rate": 1.2782231017174937e-05, + "loss": 0.9857, + "step": 18165 + }, + { + "epoch": 0.43, + "grad_norm": 1.8321725605860426, + "learning_rate": 1.2781498095563835e-05, + "loss": 0.8747, + "step": 18166 + }, + { + "epoch": 0.43, + "grad_norm": 1.6061229405179307, + "learning_rate": 1.2780765157757971e-05, + "loss": 0.7994, + "step": 18167 + }, + { + "epoch": 0.43, + "grad_norm": 2.6369429822563504, + "learning_rate": 1.278003220376161e-05, + "loss": 0.8494, + "step": 18168 + }, + { + "epoch": 0.43, + "grad_norm": 1.4057120237049985, + "learning_rate": 1.2779299233579024e-05, + "loss": 0.8346, + "step": 18169 + }, + { + "epoch": 0.43, + "grad_norm": 1.706315554117808, + "learning_rate": 1.2778566247214474e-05, + "loss": 0.7249, + "step": 18170 + }, + { + "epoch": 0.43, + "grad_norm": 1.5026931239184218, + "learning_rate": 1.2777833244672235e-05, + "loss": 0.8524, + "step": 18171 + }, + { + "epoch": 0.43, + "grad_norm": 1.5665515274665887, + "learning_rate": 1.277710022595657e-05, + "loss": 0.8668, + "step": 18172 + }, + { + "epoch": 0.43, + "grad_norm": 1.6143431652306777, + "learning_rate": 1.2776367191071752e-05, + "loss": 0.8658, + "step": 18173 + }, + { + "epoch": 0.43, + "grad_norm": 1.6928468364112867, + "learning_rate": 1.2775634140022039e-05, + "loss": 0.9622, + "step": 18174 + }, + { + "epoch": 0.43, + "grad_norm": 1.7309920094410165, + "learning_rate": 1.2774901072811709e-05, + "loss": 0.9464, + "step": 18175 + }, + { + "epoch": 0.43, + "grad_norm": 0.7228296723039712, + "learning_rate": 1.2774167989445025e-05, + "loss": 0.7143, + "step": 18176 + }, + { + "epoch": 0.43, + "grad_norm": 0.7914600883978439, + "learning_rate": 1.2773434889926259e-05, + "loss": 0.7434, + "step": 18177 + }, + { + "epoch": 0.43, + "grad_norm": 1.469101411616545, + "learning_rate": 1.2772701774259674e-05, + "loss": 0.8824, + "step": 18178 + }, + { + "epoch": 0.43, + "grad_norm": 1.6815491327389012, + "learning_rate": 1.2771968642449544e-05, + "loss": 0.9542, + "step": 18179 + }, + { + "epoch": 0.43, + "grad_norm": 1.840430868800679, + "learning_rate": 1.2771235494500133e-05, + "loss": 0.9231, + "step": 18180 + }, + { + "epoch": 0.43, + "grad_norm": 1.797659417809228, + "learning_rate": 1.2770502330415712e-05, + "loss": 0.9257, + "step": 18181 + }, + { + "epoch": 0.43, + "grad_norm": 1.8861152611026761, + "learning_rate": 1.276976915020055e-05, + "loss": 0.8665, + "step": 18182 + }, + { + "epoch": 0.43, + "grad_norm": 1.7419351317927154, + "learning_rate": 1.2769035953858913e-05, + "loss": 0.88, + "step": 18183 + }, + { + "epoch": 0.43, + "grad_norm": 1.8119727257781328, + "learning_rate": 1.2768302741395076e-05, + "loss": 0.8428, + "step": 18184 + }, + { + "epoch": 0.43, + "grad_norm": 1.8600617855144976, + "learning_rate": 1.27675695128133e-05, + "loss": 0.9539, + "step": 18185 + }, + { + "epoch": 0.43, + "grad_norm": 0.7448619686510697, + "learning_rate": 1.2766836268117862e-05, + "loss": 0.7203, + "step": 18186 + }, + { + "epoch": 0.43, + "grad_norm": 2.1318748643155745, + "learning_rate": 1.2766103007313024e-05, + "loss": 1.0075, + "step": 18187 + }, + { + "epoch": 0.43, + "grad_norm": 1.6848807938182495, + "learning_rate": 1.2765369730403061e-05, + "loss": 0.8453, + "step": 18188 + }, + { + "epoch": 0.43, + "grad_norm": 1.4677364834835585, + "learning_rate": 1.2764636437392239e-05, + "loss": 0.9466, + "step": 18189 + }, + { + "epoch": 0.43, + "grad_norm": 1.7777073585828067, + "learning_rate": 1.2763903128284827e-05, + "loss": 0.8818, + "step": 18190 + }, + { + "epoch": 0.43, + "grad_norm": 1.6225557079893642, + "learning_rate": 1.2763169803085095e-05, + "loss": 0.7226, + "step": 18191 + }, + { + "epoch": 0.43, + "grad_norm": 1.9143728118418935, + "learning_rate": 1.2762436461797318e-05, + "loss": 0.8431, + "step": 18192 + }, + { + "epoch": 0.43, + "grad_norm": 1.6078722729703274, + "learning_rate": 1.2761703104425757e-05, + "loss": 0.8125, + "step": 18193 + }, + { + "epoch": 0.43, + "grad_norm": 1.5553524028388597, + "learning_rate": 1.2760969730974692e-05, + "loss": 0.8071, + "step": 18194 + }, + { + "epoch": 0.43, + "grad_norm": 1.5356359222872786, + "learning_rate": 1.276023634144838e-05, + "loss": 0.946, + "step": 18195 + }, + { + "epoch": 0.43, + "grad_norm": 1.6336616114331317, + "learning_rate": 1.2759502935851102e-05, + "loss": 0.7751, + "step": 18196 + }, + { + "epoch": 0.43, + "grad_norm": 1.5771715862609637, + "learning_rate": 1.2758769514187123e-05, + "loss": 0.8322, + "step": 18197 + }, + { + "epoch": 0.43, + "grad_norm": 1.5450159755103106, + "learning_rate": 1.2758036076460716e-05, + "loss": 0.9468, + "step": 18198 + }, + { + "epoch": 0.43, + "grad_norm": 2.098676687272786, + "learning_rate": 1.2757302622676149e-05, + "loss": 0.9592, + "step": 18199 + }, + { + "epoch": 0.43, + "grad_norm": 1.6998545345307672, + "learning_rate": 1.2756569152837693e-05, + "loss": 0.837, + "step": 18200 + }, + { + "epoch": 0.43, + "grad_norm": 1.5214280555258104, + "learning_rate": 1.275583566694962e-05, + "loss": 0.9497, + "step": 18201 + }, + { + "epoch": 0.43, + "grad_norm": 1.7524770041272966, + "learning_rate": 1.2755102165016195e-05, + "loss": 0.7623, + "step": 18202 + }, + { + "epoch": 0.43, + "grad_norm": 1.4049855206983655, + "learning_rate": 1.2754368647041699e-05, + "loss": 0.8312, + "step": 18203 + }, + { + "epoch": 0.43, + "grad_norm": 1.6781483124716687, + "learning_rate": 1.275363511303039e-05, + "loss": 0.9851, + "step": 18204 + }, + { + "epoch": 0.43, + "grad_norm": 1.6140064610763196, + "learning_rate": 1.2752901562986553e-05, + "loss": 0.8759, + "step": 18205 + }, + { + "epoch": 0.43, + "grad_norm": 0.7789784459807861, + "learning_rate": 1.2752167996914446e-05, + "loss": 0.7198, + "step": 18206 + }, + { + "epoch": 0.43, + "grad_norm": 1.757623282454152, + "learning_rate": 1.2751434414818349e-05, + "loss": 0.8289, + "step": 18207 + }, + { + "epoch": 0.43, + "grad_norm": 1.9836682060493531, + "learning_rate": 1.2750700816702528e-05, + "loss": 0.7998, + "step": 18208 + }, + { + "epoch": 0.43, + "grad_norm": 1.717206125112564, + "learning_rate": 1.2749967202571256e-05, + "loss": 0.847, + "step": 18209 + }, + { + "epoch": 0.43, + "grad_norm": 1.4760794546430058, + "learning_rate": 1.2749233572428805e-05, + "loss": 0.9429, + "step": 18210 + }, + { + "epoch": 0.43, + "grad_norm": 0.7536627131638243, + "learning_rate": 1.2748499926279445e-05, + "loss": 0.7674, + "step": 18211 + }, + { + "epoch": 0.43, + "grad_norm": 1.6138329543052796, + "learning_rate": 1.2747766264127449e-05, + "loss": 0.805, + "step": 18212 + }, + { + "epoch": 0.43, + "grad_norm": 1.5541463420888835, + "learning_rate": 1.2747032585977089e-05, + "loss": 0.7353, + "step": 18213 + }, + { + "epoch": 0.43, + "grad_norm": 1.6527580652492166, + "learning_rate": 1.2746298891832631e-05, + "loss": 0.8911, + "step": 18214 + }, + { + "epoch": 0.43, + "grad_norm": 2.0227542746609437, + "learning_rate": 1.2745565181698357e-05, + "loss": 0.9875, + "step": 18215 + }, + { + "epoch": 0.43, + "grad_norm": 1.6556528596182907, + "learning_rate": 1.2744831455578528e-05, + "loss": 1.0201, + "step": 18216 + }, + { + "epoch": 0.43, + "grad_norm": 2.6093655979749477, + "learning_rate": 1.2744097713477426e-05, + "loss": 0.8604, + "step": 18217 + }, + { + "epoch": 0.43, + "grad_norm": 1.4975112722393562, + "learning_rate": 1.2743363955399315e-05, + "loss": 0.8867, + "step": 18218 + }, + { + "epoch": 0.43, + "grad_norm": 1.7199141493251946, + "learning_rate": 1.2742630181348473e-05, + "loss": 0.8602, + "step": 18219 + }, + { + "epoch": 0.43, + "grad_norm": 1.6247443822294851, + "learning_rate": 1.2741896391329167e-05, + "loss": 0.8475, + "step": 18220 + }, + { + "epoch": 0.43, + "grad_norm": 1.8029652192446164, + "learning_rate": 1.2741162585345674e-05, + "loss": 0.9346, + "step": 18221 + }, + { + "epoch": 0.43, + "grad_norm": 2.3949222846805474, + "learning_rate": 1.2740428763402266e-05, + "loss": 0.8944, + "step": 18222 + }, + { + "epoch": 0.43, + "grad_norm": 1.401799770850324, + "learning_rate": 1.2739694925503209e-05, + "loss": 0.8456, + "step": 18223 + }, + { + "epoch": 0.43, + "grad_norm": 0.7340571066669088, + "learning_rate": 1.2738961071652787e-05, + "loss": 0.7452, + "step": 18224 + }, + { + "epoch": 0.43, + "grad_norm": 1.582955304276001, + "learning_rate": 1.2738227201855263e-05, + "loss": 0.916, + "step": 18225 + }, + { + "epoch": 0.43, + "grad_norm": 1.8653079293325432, + "learning_rate": 1.2737493316114916e-05, + "loss": 0.8795, + "step": 18226 + }, + { + "epoch": 0.43, + "grad_norm": 1.670197938142245, + "learning_rate": 1.273675941443601e-05, + "loss": 0.8547, + "step": 18227 + }, + { + "epoch": 0.43, + "grad_norm": 1.9428713733630232, + "learning_rate": 1.2736025496822833e-05, + "loss": 0.871, + "step": 18228 + }, + { + "epoch": 0.43, + "grad_norm": 1.5464558859373176, + "learning_rate": 1.2735291563279644e-05, + "loss": 0.9136, + "step": 18229 + }, + { + "epoch": 0.43, + "grad_norm": 1.636665171624559, + "learning_rate": 1.2734557613810723e-05, + "loss": 0.8406, + "step": 18230 + }, + { + "epoch": 0.43, + "grad_norm": 1.589224262249379, + "learning_rate": 1.2733823648420341e-05, + "loss": 0.8339, + "step": 18231 + }, + { + "epoch": 0.43, + "grad_norm": 2.3072549440506114, + "learning_rate": 1.273308966711277e-05, + "loss": 0.8412, + "step": 18232 + }, + { + "epoch": 0.43, + "grad_norm": 5.467522247963152, + "learning_rate": 1.2732355669892289e-05, + "loss": 0.8286, + "step": 18233 + }, + { + "epoch": 0.43, + "grad_norm": 2.0972225184890014, + "learning_rate": 1.2731621656763165e-05, + "loss": 0.815, + "step": 18234 + }, + { + "epoch": 0.43, + "grad_norm": 1.5999794689523383, + "learning_rate": 1.273088762772968e-05, + "loss": 0.9498, + "step": 18235 + }, + { + "epoch": 0.43, + "grad_norm": 1.8817226535296265, + "learning_rate": 1.2730153582796097e-05, + "loss": 0.8538, + "step": 18236 + }, + { + "epoch": 0.43, + "grad_norm": 1.5713764975806979, + "learning_rate": 1.2729419521966702e-05, + "loss": 0.8838, + "step": 18237 + }, + { + "epoch": 0.43, + "grad_norm": 0.8081538747172774, + "learning_rate": 1.2728685445245757e-05, + "loss": 0.6582, + "step": 18238 + }, + { + "epoch": 0.43, + "grad_norm": 0.7967898516401418, + "learning_rate": 1.2727951352637544e-05, + "loss": 0.7633, + "step": 18239 + }, + { + "epoch": 0.43, + "grad_norm": 1.437750313401959, + "learning_rate": 1.2727217244146334e-05, + "loss": 0.8343, + "step": 18240 + }, + { + "epoch": 0.43, + "grad_norm": 2.892509224862396, + "learning_rate": 1.2726483119776401e-05, + "loss": 0.8533, + "step": 18241 + }, + { + "epoch": 0.43, + "grad_norm": 1.5445846682497715, + "learning_rate": 1.272574897953202e-05, + "loss": 0.9288, + "step": 18242 + }, + { + "epoch": 0.43, + "grad_norm": 1.6439086247653976, + "learning_rate": 1.2725014823417468e-05, + "loss": 0.8729, + "step": 18243 + }, + { + "epoch": 0.43, + "grad_norm": 1.5339204096301482, + "learning_rate": 1.2724280651437014e-05, + "loss": 0.8754, + "step": 18244 + }, + { + "epoch": 0.43, + "grad_norm": 1.593113968077865, + "learning_rate": 1.2723546463594936e-05, + "loss": 0.8095, + "step": 18245 + }, + { + "epoch": 0.43, + "grad_norm": 1.514302990035699, + "learning_rate": 1.272281225989551e-05, + "loss": 0.9097, + "step": 18246 + }, + { + "epoch": 0.43, + "grad_norm": 2.082129783190385, + "learning_rate": 1.2722078040343007e-05, + "loss": 0.9407, + "step": 18247 + }, + { + "epoch": 0.43, + "grad_norm": 2.027370497206923, + "learning_rate": 1.2721343804941704e-05, + "loss": 0.8414, + "step": 18248 + }, + { + "epoch": 0.43, + "grad_norm": 1.586016693070012, + "learning_rate": 1.2720609553695877e-05, + "loss": 0.888, + "step": 18249 + }, + { + "epoch": 0.43, + "grad_norm": 3.461488308017603, + "learning_rate": 1.27198752866098e-05, + "loss": 0.9228, + "step": 18250 + }, + { + "epoch": 0.43, + "grad_norm": 1.8251658340497834, + "learning_rate": 1.2719141003687746e-05, + "loss": 0.9134, + "step": 18251 + }, + { + "epoch": 0.43, + "grad_norm": 1.5830222059267092, + "learning_rate": 1.2718406704933997e-05, + "loss": 0.9205, + "step": 18252 + }, + { + "epoch": 0.43, + "grad_norm": 1.7565076070867445, + "learning_rate": 1.2717672390352818e-05, + "loss": 0.8154, + "step": 18253 + }, + { + "epoch": 0.43, + "grad_norm": 1.9990718409812056, + "learning_rate": 1.2716938059948493e-05, + "loss": 0.7767, + "step": 18254 + }, + { + "epoch": 0.43, + "grad_norm": 2.5544356291712393, + "learning_rate": 1.2716203713725293e-05, + "loss": 0.8662, + "step": 18255 + }, + { + "epoch": 0.43, + "grad_norm": 1.730074475859568, + "learning_rate": 1.2715469351687498e-05, + "loss": 0.868, + "step": 18256 + }, + { + "epoch": 0.43, + "grad_norm": 1.5871430218107996, + "learning_rate": 1.2714734973839375e-05, + "loss": 0.8968, + "step": 18257 + }, + { + "epoch": 0.43, + "grad_norm": 1.633934373355433, + "learning_rate": 1.2714000580185211e-05, + "loss": 0.8021, + "step": 18258 + }, + { + "epoch": 0.43, + "grad_norm": 1.6893162067903937, + "learning_rate": 1.2713266170729275e-05, + "loss": 0.9449, + "step": 18259 + }, + { + "epoch": 0.43, + "grad_norm": 1.6283138152475944, + "learning_rate": 1.2712531745475842e-05, + "loss": 0.8196, + "step": 18260 + }, + { + "epoch": 0.43, + "grad_norm": 0.7791880025362963, + "learning_rate": 1.2711797304429192e-05, + "loss": 0.7448, + "step": 18261 + }, + { + "epoch": 0.43, + "grad_norm": 1.6221236118847422, + "learning_rate": 1.27110628475936e-05, + "loss": 0.867, + "step": 18262 + }, + { + "epoch": 0.43, + "grad_norm": 1.83734008063034, + "learning_rate": 1.2710328374973342e-05, + "loss": 0.8547, + "step": 18263 + }, + { + "epoch": 0.43, + "grad_norm": 1.6886716535376387, + "learning_rate": 1.2709593886572693e-05, + "loss": 0.8571, + "step": 18264 + }, + { + "epoch": 0.43, + "grad_norm": 1.522990587595425, + "learning_rate": 1.270885938239593e-05, + "loss": 0.9048, + "step": 18265 + }, + { + "epoch": 0.43, + "grad_norm": 1.550111495213649, + "learning_rate": 1.2708124862447331e-05, + "loss": 0.8717, + "step": 18266 + }, + { + "epoch": 0.43, + "grad_norm": 1.5552162385413584, + "learning_rate": 1.2707390326731173e-05, + "loss": 0.886, + "step": 18267 + }, + { + "epoch": 0.43, + "grad_norm": 1.5959318394635378, + "learning_rate": 1.2706655775251728e-05, + "loss": 0.7029, + "step": 18268 + }, + { + "epoch": 0.43, + "grad_norm": 1.6909775364072028, + "learning_rate": 1.270592120801328e-05, + "loss": 0.89, + "step": 18269 + }, + { + "epoch": 0.43, + "grad_norm": 1.7715311857140368, + "learning_rate": 1.2705186625020098e-05, + "loss": 0.9383, + "step": 18270 + }, + { + "epoch": 0.43, + "grad_norm": 0.7515975916306777, + "learning_rate": 1.2704452026276468e-05, + "loss": 0.7186, + "step": 18271 + }, + { + "epoch": 0.43, + "grad_norm": 1.7964272144247562, + "learning_rate": 1.2703717411786658e-05, + "loss": 0.8956, + "step": 18272 + }, + { + "epoch": 0.43, + "grad_norm": 1.5056749087210046, + "learning_rate": 1.2702982781554953e-05, + "loss": 0.815, + "step": 18273 + }, + { + "epoch": 0.43, + "grad_norm": 1.6647294462968187, + "learning_rate": 1.2702248135585622e-05, + "loss": 0.9697, + "step": 18274 + }, + { + "epoch": 0.43, + "grad_norm": 2.130095038735106, + "learning_rate": 1.2701513473882951e-05, + "loss": 0.8221, + "step": 18275 + }, + { + "epoch": 0.43, + "grad_norm": 0.7354833892317605, + "learning_rate": 1.270077879645121e-05, + "loss": 0.7258, + "step": 18276 + }, + { + "epoch": 0.43, + "grad_norm": 1.810752910746951, + "learning_rate": 1.2700044103294683e-05, + "loss": 0.8213, + "step": 18277 + }, + { + "epoch": 0.43, + "grad_norm": 0.7686647099316647, + "learning_rate": 1.2699309394417641e-05, + "loss": 0.7478, + "step": 18278 + }, + { + "epoch": 0.43, + "grad_norm": 1.6013680455049604, + "learning_rate": 1.2698574669824366e-05, + "loss": 0.837, + "step": 18279 + }, + { + "epoch": 0.43, + "grad_norm": 1.561659267521168, + "learning_rate": 1.2697839929519136e-05, + "loss": 0.8003, + "step": 18280 + }, + { + "epoch": 0.43, + "grad_norm": 1.6253780111549905, + "learning_rate": 1.2697105173506225e-05, + "loss": 0.8482, + "step": 18281 + }, + { + "epoch": 0.43, + "grad_norm": 1.5128138546828265, + "learning_rate": 1.269637040178992e-05, + "loss": 0.9045, + "step": 18282 + }, + { + "epoch": 0.43, + "grad_norm": 1.5675624649754847, + "learning_rate": 1.2695635614374484e-05, + "loss": 0.8586, + "step": 18283 + }, + { + "epoch": 0.43, + "grad_norm": 2.2074808937862653, + "learning_rate": 1.2694900811264212e-05, + "loss": 0.8402, + "step": 18284 + }, + { + "epoch": 0.43, + "grad_norm": 1.6683643292529846, + "learning_rate": 1.269416599246337e-05, + "loss": 0.887, + "step": 18285 + }, + { + "epoch": 0.43, + "grad_norm": 1.5829124578054368, + "learning_rate": 1.2693431157976243e-05, + "loss": 0.8647, + "step": 18286 + }, + { + "epoch": 0.43, + "grad_norm": 1.6643428247014922, + "learning_rate": 1.2692696307807106e-05, + "loss": 0.9618, + "step": 18287 + }, + { + "epoch": 0.43, + "grad_norm": 1.9542482938115338, + "learning_rate": 1.2691961441960238e-05, + "loss": 0.9009, + "step": 18288 + }, + { + "epoch": 0.43, + "grad_norm": 2.3971596422534325, + "learning_rate": 1.269122656043992e-05, + "loss": 0.8628, + "step": 18289 + }, + { + "epoch": 0.43, + "grad_norm": 1.7616178231962583, + "learning_rate": 1.2690491663250428e-05, + "loss": 0.9354, + "step": 18290 + }, + { + "epoch": 0.43, + "grad_norm": 1.4261030983108427, + "learning_rate": 1.268975675039604e-05, + "loss": 0.9099, + "step": 18291 + }, + { + "epoch": 0.43, + "grad_norm": 2.2152663001328516, + "learning_rate": 1.268902182188104e-05, + "loss": 0.9796, + "step": 18292 + }, + { + "epoch": 0.43, + "grad_norm": 1.6406699901752875, + "learning_rate": 1.26882868777097e-05, + "loss": 0.8854, + "step": 18293 + }, + { + "epoch": 0.43, + "grad_norm": 1.4792411590843308, + "learning_rate": 1.2687551917886304e-05, + "loss": 0.8645, + "step": 18294 + }, + { + "epoch": 0.43, + "grad_norm": 1.8467547614755437, + "learning_rate": 1.2686816942415133e-05, + "loss": 0.7932, + "step": 18295 + }, + { + "epoch": 0.43, + "grad_norm": 1.7831929916266784, + "learning_rate": 1.268608195130046e-05, + "loss": 0.8761, + "step": 18296 + }, + { + "epoch": 0.43, + "grad_norm": 0.7925334160861747, + "learning_rate": 1.2685346944546566e-05, + "loss": 0.7094, + "step": 18297 + }, + { + "epoch": 0.43, + "grad_norm": 0.7529957837920076, + "learning_rate": 1.2684611922157735e-05, + "loss": 0.7194, + "step": 18298 + }, + { + "epoch": 0.43, + "grad_norm": 1.5901789398466364, + "learning_rate": 1.2683876884138242e-05, + "loss": 1.0604, + "step": 18299 + }, + { + "epoch": 0.43, + "grad_norm": 1.50532564805071, + "learning_rate": 1.2683141830492368e-05, + "loss": 0.8358, + "step": 18300 + }, + { + "epoch": 0.43, + "grad_norm": 1.749218778901198, + "learning_rate": 1.2682406761224394e-05, + "loss": 0.8873, + "step": 18301 + }, + { + "epoch": 0.43, + "grad_norm": 1.6093030759129285, + "learning_rate": 1.2681671676338597e-05, + "loss": 1.0071, + "step": 18302 + }, + { + "epoch": 0.43, + "grad_norm": 1.5843044608140133, + "learning_rate": 1.268093657583926e-05, + "loss": 0.8145, + "step": 18303 + }, + { + "epoch": 0.43, + "grad_norm": 1.6093570766605407, + "learning_rate": 1.2680201459730661e-05, + "loss": 0.8502, + "step": 18304 + }, + { + "epoch": 0.43, + "grad_norm": 1.6928200197588688, + "learning_rate": 1.267946632801708e-05, + "loss": 0.8591, + "step": 18305 + }, + { + "epoch": 0.43, + "grad_norm": 1.734824388020016, + "learning_rate": 1.2678731180702796e-05, + "loss": 0.8035, + "step": 18306 + }, + { + "epoch": 0.43, + "grad_norm": 1.630623600243373, + "learning_rate": 1.2677996017792095e-05, + "loss": 0.9171, + "step": 18307 + }, + { + "epoch": 0.43, + "grad_norm": 1.5829709454947958, + "learning_rate": 1.2677260839289249e-05, + "loss": 0.8263, + "step": 18308 + }, + { + "epoch": 0.43, + "grad_norm": 1.3922661197968618, + "learning_rate": 1.267652564519855e-05, + "loss": 0.8402, + "step": 18309 + }, + { + "epoch": 0.43, + "grad_norm": 1.578979259685592, + "learning_rate": 1.2675790435524264e-05, + "loss": 0.9364, + "step": 18310 + }, + { + "epoch": 0.43, + "grad_norm": 1.5245336074710443, + "learning_rate": 1.2675055210270681e-05, + "loss": 1.0457, + "step": 18311 + }, + { + "epoch": 0.43, + "grad_norm": 0.8226800891124676, + "learning_rate": 1.2674319969442082e-05, + "loss": 0.6931, + "step": 18312 + }, + { + "epoch": 0.43, + "grad_norm": 0.736890418782748, + "learning_rate": 1.2673584713042743e-05, + "loss": 0.7413, + "step": 18313 + }, + { + "epoch": 0.43, + "grad_norm": 0.7373319762118843, + "learning_rate": 1.2672849441076948e-05, + "loss": 0.7139, + "step": 18314 + }, + { + "epoch": 0.43, + "grad_norm": 1.5235825711610727, + "learning_rate": 1.2672114153548977e-05, + "loss": 0.8263, + "step": 18315 + }, + { + "epoch": 0.43, + "grad_norm": 1.990503193520299, + "learning_rate": 1.2671378850463112e-05, + "loss": 0.8414, + "step": 18316 + }, + { + "epoch": 0.43, + "grad_norm": 1.5429132507776004, + "learning_rate": 1.2670643531823634e-05, + "loss": 0.7793, + "step": 18317 + }, + { + "epoch": 0.43, + "grad_norm": 1.50334475757701, + "learning_rate": 1.2669908197634822e-05, + "loss": 0.7748, + "step": 18318 + }, + { + "epoch": 0.43, + "grad_norm": 2.2038235967619606, + "learning_rate": 1.2669172847900958e-05, + "loss": 0.8315, + "step": 18319 + }, + { + "epoch": 0.43, + "grad_norm": 1.5442917152137328, + "learning_rate": 1.266843748262633e-05, + "loss": 0.9895, + "step": 18320 + }, + { + "epoch": 0.43, + "grad_norm": 1.6768810939791388, + "learning_rate": 1.266770210181521e-05, + "loss": 0.8662, + "step": 18321 + }, + { + "epoch": 0.43, + "grad_norm": 1.4471275635000282, + "learning_rate": 1.2666966705471886e-05, + "loss": 0.7985, + "step": 18322 + }, + { + "epoch": 0.43, + "grad_norm": 1.6545651102732042, + "learning_rate": 1.2666231293600634e-05, + "loss": 0.7716, + "step": 18323 + }, + { + "epoch": 0.43, + "grad_norm": 1.860031091081099, + "learning_rate": 1.2665495866205745e-05, + "loss": 0.8728, + "step": 18324 + }, + { + "epoch": 0.43, + "grad_norm": 1.6167787723596065, + "learning_rate": 1.2664760423291492e-05, + "loss": 0.9054, + "step": 18325 + }, + { + "epoch": 0.43, + "grad_norm": 1.7524906441764396, + "learning_rate": 1.266402496486216e-05, + "loss": 0.7894, + "step": 18326 + }, + { + "epoch": 0.43, + "grad_norm": 1.6983381998139613, + "learning_rate": 1.2663289490922029e-05, + "loss": 0.9742, + "step": 18327 + }, + { + "epoch": 0.43, + "grad_norm": 0.7680410875756916, + "learning_rate": 1.266255400147539e-05, + "loss": 0.7581, + "step": 18328 + }, + { + "epoch": 0.43, + "grad_norm": 1.8029960918796606, + "learning_rate": 1.266181849652651e-05, + "loss": 0.9451, + "step": 18329 + }, + { + "epoch": 0.43, + "grad_norm": 1.7447495169257496, + "learning_rate": 1.2661082976079684e-05, + "loss": 0.9029, + "step": 18330 + }, + { + "epoch": 0.43, + "grad_norm": 1.6174771419818672, + "learning_rate": 1.2660347440139194e-05, + "loss": 0.7471, + "step": 18331 + }, + { + "epoch": 0.43, + "grad_norm": 1.5014468450165281, + "learning_rate": 1.2659611888709313e-05, + "loss": 0.8481, + "step": 18332 + }, + { + "epoch": 0.43, + "grad_norm": 1.5705227836543882, + "learning_rate": 1.2658876321794333e-05, + "loss": 0.9058, + "step": 18333 + }, + { + "epoch": 0.43, + "grad_norm": 0.7928308638800514, + "learning_rate": 1.2658140739398532e-05, + "loss": 0.7451, + "step": 18334 + }, + { + "epoch": 0.43, + "grad_norm": 1.8037173052462647, + "learning_rate": 1.2657405141526196e-05, + "loss": 0.894, + "step": 18335 + }, + { + "epoch": 0.43, + "grad_norm": 1.6233131272288361, + "learning_rate": 1.2656669528181603e-05, + "loss": 0.9728, + "step": 18336 + }, + { + "epoch": 0.43, + "grad_norm": 1.7264120761872406, + "learning_rate": 1.2655933899369042e-05, + "loss": 0.9544, + "step": 18337 + }, + { + "epoch": 0.43, + "grad_norm": 3.4123814401396944, + "learning_rate": 1.2655198255092791e-05, + "loss": 0.9729, + "step": 18338 + }, + { + "epoch": 0.43, + "grad_norm": 1.3868207786108482, + "learning_rate": 1.2654462595357136e-05, + "loss": 0.9497, + "step": 18339 + }, + { + "epoch": 0.43, + "grad_norm": 1.8367815306730597, + "learning_rate": 1.2653726920166358e-05, + "loss": 0.9351, + "step": 18340 + }, + { + "epoch": 0.43, + "grad_norm": 1.708905723005073, + "learning_rate": 1.2652991229524742e-05, + "loss": 0.9233, + "step": 18341 + }, + { + "epoch": 0.43, + "grad_norm": 1.986120208663105, + "learning_rate": 1.2652255523436572e-05, + "loss": 0.9399, + "step": 18342 + }, + { + "epoch": 0.43, + "grad_norm": 1.778590818342607, + "learning_rate": 1.2651519801906131e-05, + "loss": 0.8126, + "step": 18343 + }, + { + "epoch": 0.43, + "grad_norm": 2.228713521995806, + "learning_rate": 1.2650784064937702e-05, + "loss": 0.9472, + "step": 18344 + }, + { + "epoch": 0.43, + "grad_norm": 1.6258083112007804, + "learning_rate": 1.265004831253557e-05, + "loss": 1.0165, + "step": 18345 + }, + { + "epoch": 0.43, + "grad_norm": 1.6174776863165647, + "learning_rate": 1.2649312544704016e-05, + "loss": 0.7637, + "step": 18346 + }, + { + "epoch": 0.43, + "grad_norm": 1.6168933556236438, + "learning_rate": 1.2648576761447324e-05, + "loss": 0.8597, + "step": 18347 + }, + { + "epoch": 0.43, + "grad_norm": 1.830665902951621, + "learning_rate": 1.2647840962769781e-05, + "loss": 0.792, + "step": 18348 + }, + { + "epoch": 0.43, + "grad_norm": 1.677477106311701, + "learning_rate": 1.2647105148675671e-05, + "loss": 0.8523, + "step": 18349 + }, + { + "epoch": 0.43, + "grad_norm": 1.72754656451501, + "learning_rate": 1.2646369319169275e-05, + "loss": 0.8516, + "step": 18350 + }, + { + "epoch": 0.43, + "grad_norm": 2.2765414290653316, + "learning_rate": 1.2645633474254882e-05, + "loss": 0.9768, + "step": 18351 + }, + { + "epoch": 0.43, + "grad_norm": 1.8044352445444467, + "learning_rate": 1.2644897613936773e-05, + "loss": 0.845, + "step": 18352 + }, + { + "epoch": 0.43, + "grad_norm": 1.573829452640754, + "learning_rate": 1.2644161738219229e-05, + "loss": 0.8738, + "step": 18353 + }, + { + "epoch": 0.43, + "grad_norm": 2.850483585125042, + "learning_rate": 1.2643425847106543e-05, + "loss": 0.8886, + "step": 18354 + }, + { + "epoch": 0.43, + "grad_norm": 1.696717961905162, + "learning_rate": 1.264268994060299e-05, + "loss": 0.8722, + "step": 18355 + }, + { + "epoch": 0.43, + "grad_norm": 1.6575329942955195, + "learning_rate": 1.2641954018712863e-05, + "loss": 0.9613, + "step": 18356 + }, + { + "epoch": 0.43, + "grad_norm": 1.8382926838375755, + "learning_rate": 1.264121808144044e-05, + "loss": 0.9427, + "step": 18357 + }, + { + "epoch": 0.43, + "grad_norm": 2.0641980035840586, + "learning_rate": 1.2640482128790012e-05, + "loss": 0.8542, + "step": 18358 + }, + { + "epoch": 0.43, + "grad_norm": 1.6415560235297169, + "learning_rate": 1.2639746160765858e-05, + "loss": 0.9524, + "step": 18359 + }, + { + "epoch": 0.43, + "grad_norm": 1.9568756124105253, + "learning_rate": 1.2639010177372271e-05, + "loss": 0.893, + "step": 18360 + }, + { + "epoch": 0.43, + "grad_norm": 1.768080229551764, + "learning_rate": 1.2638274178613527e-05, + "loss": 0.7889, + "step": 18361 + }, + { + "epoch": 0.43, + "grad_norm": 1.648969357988285, + "learning_rate": 1.2637538164493916e-05, + "loss": 0.9198, + "step": 18362 + }, + { + "epoch": 0.43, + "grad_norm": 0.8170998066921881, + "learning_rate": 1.2636802135017726e-05, + "loss": 0.696, + "step": 18363 + }, + { + "epoch": 0.43, + "grad_norm": 1.514261466437139, + "learning_rate": 1.2636066090189237e-05, + "loss": 0.9503, + "step": 18364 + }, + { + "epoch": 0.43, + "grad_norm": 1.6255149412274994, + "learning_rate": 1.2635330030012735e-05, + "loss": 0.9153, + "step": 18365 + }, + { + "epoch": 0.43, + "grad_norm": 1.6466995507648687, + "learning_rate": 1.2634593954492509e-05, + "loss": 0.6973, + "step": 18366 + }, + { + "epoch": 0.43, + "grad_norm": 1.6724087460108648, + "learning_rate": 1.2633857863632843e-05, + "loss": 0.9353, + "step": 18367 + }, + { + "epoch": 0.43, + "grad_norm": 1.8371360601788982, + "learning_rate": 1.2633121757438022e-05, + "loss": 0.9409, + "step": 18368 + }, + { + "epoch": 0.43, + "grad_norm": 2.180170577871771, + "learning_rate": 1.2632385635912332e-05, + "loss": 0.9082, + "step": 18369 + }, + { + "epoch": 0.43, + "grad_norm": 1.7526343366954316, + "learning_rate": 1.2631649499060061e-05, + "loss": 0.8251, + "step": 18370 + }, + { + "epoch": 0.43, + "grad_norm": 1.4814577521571672, + "learning_rate": 1.2630913346885491e-05, + "loss": 0.8152, + "step": 18371 + }, + { + "epoch": 0.43, + "grad_norm": 1.900425136311973, + "learning_rate": 1.2630177179392913e-05, + "loss": 0.8309, + "step": 18372 + }, + { + "epoch": 0.43, + "grad_norm": 1.7851890297103643, + "learning_rate": 1.262944099658661e-05, + "loss": 1.0006, + "step": 18373 + }, + { + "epoch": 0.43, + "grad_norm": 2.0825422699414715, + "learning_rate": 1.262870479847087e-05, + "loss": 0.9704, + "step": 18374 + }, + { + "epoch": 0.43, + "grad_norm": 1.5587926063815762, + "learning_rate": 1.2627968585049979e-05, + "loss": 0.9821, + "step": 18375 + }, + { + "epoch": 0.43, + "grad_norm": 0.7821864511918716, + "learning_rate": 1.262723235632822e-05, + "loss": 0.7067, + "step": 18376 + }, + { + "epoch": 0.43, + "grad_norm": 1.817433156236562, + "learning_rate": 1.2626496112309885e-05, + "loss": 0.8483, + "step": 18377 + }, + { + "epoch": 0.43, + "grad_norm": 1.8586542004698283, + "learning_rate": 1.2625759852999256e-05, + "loss": 0.9791, + "step": 18378 + }, + { + "epoch": 0.43, + "grad_norm": 1.6487065868998478, + "learning_rate": 1.2625023578400622e-05, + "loss": 0.7198, + "step": 18379 + }, + { + "epoch": 0.43, + "grad_norm": 1.8293391199698592, + "learning_rate": 1.2624287288518272e-05, + "loss": 0.9063, + "step": 18380 + }, + { + "epoch": 0.43, + "grad_norm": 1.7308470106267058, + "learning_rate": 1.2623550983356487e-05, + "loss": 0.9488, + "step": 18381 + }, + { + "epoch": 0.43, + "grad_norm": 1.7145238872794069, + "learning_rate": 1.2622814662919562e-05, + "loss": 0.7541, + "step": 18382 + }, + { + "epoch": 0.43, + "grad_norm": 1.7675675880035076, + "learning_rate": 1.2622078327211776e-05, + "loss": 0.8789, + "step": 18383 + }, + { + "epoch": 0.43, + "grad_norm": 1.653259422928094, + "learning_rate": 1.2621341976237423e-05, + "loss": 0.9619, + "step": 18384 + }, + { + "epoch": 0.43, + "grad_norm": 1.5853998792508799, + "learning_rate": 1.2620605610000782e-05, + "loss": 0.9488, + "step": 18385 + }, + { + "epoch": 0.43, + "grad_norm": 1.7465483094592076, + "learning_rate": 1.2619869228506151e-05, + "loss": 0.882, + "step": 18386 + }, + { + "epoch": 0.43, + "grad_norm": 1.6597473417910427, + "learning_rate": 1.2619132831757808e-05, + "loss": 0.8819, + "step": 18387 + }, + { + "epoch": 0.43, + "grad_norm": 1.5755855270199663, + "learning_rate": 1.2618396419760049e-05, + "loss": 0.8881, + "step": 18388 + }, + { + "epoch": 0.43, + "grad_norm": 1.699374494766327, + "learning_rate": 1.2617659992517153e-05, + "loss": 0.9706, + "step": 18389 + }, + { + "epoch": 0.43, + "grad_norm": 1.5666577233074102, + "learning_rate": 1.2616923550033413e-05, + "loss": 0.9304, + "step": 18390 + }, + { + "epoch": 0.43, + "grad_norm": 2.145659209304529, + "learning_rate": 1.2616187092313114e-05, + "loss": 0.7902, + "step": 18391 + }, + { + "epoch": 0.43, + "grad_norm": 1.6841177400503968, + "learning_rate": 1.2615450619360547e-05, + "loss": 0.859, + "step": 18392 + }, + { + "epoch": 0.43, + "grad_norm": 1.4992185250196268, + "learning_rate": 1.2614714131179999e-05, + "loss": 0.9297, + "step": 18393 + }, + { + "epoch": 0.43, + "grad_norm": 1.501543559399095, + "learning_rate": 1.2613977627775757e-05, + "loss": 0.862, + "step": 18394 + }, + { + "epoch": 0.43, + "grad_norm": 1.6380004027998762, + "learning_rate": 1.261324110915211e-05, + "loss": 0.8277, + "step": 18395 + }, + { + "epoch": 0.43, + "grad_norm": 1.8211908610564698, + "learning_rate": 1.2612504575313344e-05, + "loss": 0.8125, + "step": 18396 + }, + { + "epoch": 0.43, + "grad_norm": 0.820459868187642, + "learning_rate": 1.2611768026263752e-05, + "loss": 0.7541, + "step": 18397 + }, + { + "epoch": 0.43, + "grad_norm": 1.7243964578795703, + "learning_rate": 1.2611031462007619e-05, + "loss": 0.8226, + "step": 18398 + }, + { + "epoch": 0.43, + "grad_norm": 1.676642165902507, + "learning_rate": 1.2610294882549232e-05, + "loss": 0.716, + "step": 18399 + }, + { + "epoch": 0.43, + "grad_norm": 7.947489804970619, + "learning_rate": 1.2609558287892884e-05, + "loss": 0.9171, + "step": 18400 + }, + { + "epoch": 0.43, + "grad_norm": 1.6251798224934435, + "learning_rate": 1.2608821678042862e-05, + "loss": 0.9111, + "step": 18401 + }, + { + "epoch": 0.43, + "grad_norm": 2.0889218605591084, + "learning_rate": 1.2608085053003452e-05, + "loss": 0.8952, + "step": 18402 + }, + { + "epoch": 0.43, + "grad_norm": 2.1690913498858717, + "learning_rate": 1.2607348412778949e-05, + "loss": 0.811, + "step": 18403 + }, + { + "epoch": 0.43, + "grad_norm": 0.814688803829184, + "learning_rate": 1.2606611757373633e-05, + "loss": 0.7487, + "step": 18404 + }, + { + "epoch": 0.43, + "grad_norm": 1.4269687169840728, + "learning_rate": 1.2605875086791804e-05, + "loss": 0.9821, + "step": 18405 + }, + { + "epoch": 0.43, + "grad_norm": 0.7695201790383598, + "learning_rate": 1.2605138401037738e-05, + "loss": 0.697, + "step": 18406 + }, + { + "epoch": 0.43, + "grad_norm": 1.9699077110664938, + "learning_rate": 1.2604401700115738e-05, + "loss": 0.8377, + "step": 18407 + }, + { + "epoch": 0.43, + "grad_norm": 1.6279602366497592, + "learning_rate": 1.2603664984030082e-05, + "loss": 0.9628, + "step": 18408 + }, + { + "epoch": 0.43, + "grad_norm": 2.4862584164375563, + "learning_rate": 1.2602928252785068e-05, + "loss": 0.8505, + "step": 18409 + }, + { + "epoch": 0.43, + "grad_norm": 2.6903329474547366, + "learning_rate": 1.260219150638498e-05, + "loss": 0.8883, + "step": 18410 + }, + { + "epoch": 0.43, + "grad_norm": 1.4804346635158998, + "learning_rate": 1.2601454744834108e-05, + "loss": 0.9242, + "step": 18411 + }, + { + "epoch": 0.43, + "grad_norm": 1.3899587221486847, + "learning_rate": 1.2600717968136742e-05, + "loss": 0.7728, + "step": 18412 + }, + { + "epoch": 0.43, + "grad_norm": 2.2985254956156385, + "learning_rate": 1.2599981176297176e-05, + "loss": 0.8668, + "step": 18413 + }, + { + "epoch": 0.43, + "grad_norm": 1.9658247998689051, + "learning_rate": 1.2599244369319694e-05, + "loss": 0.8717, + "step": 18414 + }, + { + "epoch": 0.43, + "grad_norm": 0.8077940828209313, + "learning_rate": 1.2598507547208589e-05, + "loss": 0.7311, + "step": 18415 + }, + { + "epoch": 0.43, + "grad_norm": 1.9387279741274344, + "learning_rate": 1.259777070996815e-05, + "loss": 0.7497, + "step": 18416 + }, + { + "epoch": 0.43, + "grad_norm": 2.105091444474579, + "learning_rate": 1.259703385760267e-05, + "loss": 0.8629, + "step": 18417 + }, + { + "epoch": 0.43, + "grad_norm": 2.2286465826257995, + "learning_rate": 1.2596296990116435e-05, + "loss": 0.7491, + "step": 18418 + }, + { + "epoch": 0.43, + "grad_norm": 1.7879050594891945, + "learning_rate": 1.2595560107513735e-05, + "loss": 0.8979, + "step": 18419 + }, + { + "epoch": 0.43, + "grad_norm": 0.8120964247720378, + "learning_rate": 1.2594823209798865e-05, + "loss": 0.725, + "step": 18420 + }, + { + "epoch": 0.43, + "grad_norm": 1.8082216656958454, + "learning_rate": 1.2594086296976111e-05, + "loss": 0.8109, + "step": 18421 + }, + { + "epoch": 0.43, + "grad_norm": 1.6456290087581906, + "learning_rate": 1.2593349369049767e-05, + "loss": 0.8816, + "step": 18422 + }, + { + "epoch": 0.43, + "grad_norm": 1.6260153435401017, + "learning_rate": 1.259261242602412e-05, + "loss": 0.8464, + "step": 18423 + }, + { + "epoch": 0.43, + "grad_norm": 1.543843673960858, + "learning_rate": 1.2591875467903465e-05, + "loss": 0.8794, + "step": 18424 + }, + { + "epoch": 0.43, + "grad_norm": 1.6051341361124833, + "learning_rate": 1.2591138494692087e-05, + "loss": 0.7412, + "step": 18425 + }, + { + "epoch": 0.43, + "grad_norm": 2.01443276262704, + "learning_rate": 1.2590401506394285e-05, + "loss": 0.8799, + "step": 18426 + }, + { + "epoch": 0.43, + "grad_norm": 0.7734715324309952, + "learning_rate": 1.258966450301434e-05, + "loss": 0.7099, + "step": 18427 + }, + { + "epoch": 0.43, + "grad_norm": 3.1518905966970783, + "learning_rate": 1.2588927484556552e-05, + "loss": 0.911, + "step": 18428 + }, + { + "epoch": 0.43, + "grad_norm": 1.4815110347107734, + "learning_rate": 1.2588190451025209e-05, + "loss": 0.8369, + "step": 18429 + }, + { + "epoch": 0.43, + "grad_norm": 1.5264199930031959, + "learning_rate": 1.2587453402424598e-05, + "loss": 0.9812, + "step": 18430 + }, + { + "epoch": 0.43, + "grad_norm": 1.927616156417253, + "learning_rate": 1.2586716338759018e-05, + "loss": 1.0247, + "step": 18431 + }, + { + "epoch": 0.43, + "grad_norm": 1.6297590457913718, + "learning_rate": 1.2585979260032754e-05, + "loss": 1.0304, + "step": 18432 + }, + { + "epoch": 0.43, + "grad_norm": 1.844072726991944, + "learning_rate": 1.2585242166250105e-05, + "loss": 0.8285, + "step": 18433 + }, + { + "epoch": 0.43, + "grad_norm": 1.7679748541411686, + "learning_rate": 1.2584505057415352e-05, + "loss": 0.8841, + "step": 18434 + }, + { + "epoch": 0.43, + "grad_norm": 1.6912973312388342, + "learning_rate": 1.2583767933532795e-05, + "loss": 0.6746, + "step": 18435 + }, + { + "epoch": 0.43, + "grad_norm": 1.8236846275740997, + "learning_rate": 1.258303079460672e-05, + "loss": 0.9088, + "step": 18436 + }, + { + "epoch": 0.43, + "grad_norm": 1.7856118647372774, + "learning_rate": 1.2582293640641427e-05, + "loss": 0.9389, + "step": 18437 + }, + { + "epoch": 0.43, + "grad_norm": 1.6808526147669451, + "learning_rate": 1.2581556471641199e-05, + "loss": 0.9059, + "step": 18438 + }, + { + "epoch": 0.43, + "grad_norm": 1.620756189245074, + "learning_rate": 1.2580819287610332e-05, + "loss": 0.8638, + "step": 18439 + }, + { + "epoch": 0.43, + "grad_norm": 1.7729060471924702, + "learning_rate": 1.2580082088553121e-05, + "loss": 0.7833, + "step": 18440 + }, + { + "epoch": 0.43, + "grad_norm": 1.9488235212967908, + "learning_rate": 1.2579344874473854e-05, + "loss": 0.8353, + "step": 18441 + }, + { + "epoch": 0.43, + "grad_norm": 1.9093253179377832, + "learning_rate": 1.2578607645376823e-05, + "loss": 0.807, + "step": 18442 + }, + { + "epoch": 0.43, + "grad_norm": 1.681675527016743, + "learning_rate": 1.2577870401266324e-05, + "loss": 0.8459, + "step": 18443 + }, + { + "epoch": 0.43, + "grad_norm": 1.5698731475979664, + "learning_rate": 1.2577133142146646e-05, + "loss": 0.8585, + "step": 18444 + }, + { + "epoch": 0.43, + "grad_norm": 0.7252952206191328, + "learning_rate": 1.2576395868022082e-05, + "loss": 0.6701, + "step": 18445 + }, + { + "epoch": 0.43, + "grad_norm": 1.619487418445573, + "learning_rate": 1.2575658578896928e-05, + "loss": 0.9004, + "step": 18446 + }, + { + "epoch": 0.43, + "grad_norm": 1.5370834926579489, + "learning_rate": 1.2574921274775472e-05, + "loss": 0.9146, + "step": 18447 + }, + { + "epoch": 0.43, + "grad_norm": 1.6451005964878802, + "learning_rate": 1.257418395566201e-05, + "loss": 0.9219, + "step": 18448 + }, + { + "epoch": 0.43, + "grad_norm": 1.5140737025592743, + "learning_rate": 1.2573446621560833e-05, + "loss": 0.9203, + "step": 18449 + }, + { + "epoch": 0.43, + "grad_norm": 1.4865533770094046, + "learning_rate": 1.2572709272476237e-05, + "loss": 0.8928, + "step": 18450 + }, + { + "epoch": 0.43, + "grad_norm": 1.549271564442596, + "learning_rate": 1.2571971908412512e-05, + "loss": 0.8004, + "step": 18451 + }, + { + "epoch": 0.43, + "grad_norm": 0.8159498550959134, + "learning_rate": 1.2571234529373953e-05, + "loss": 0.7243, + "step": 18452 + }, + { + "epoch": 0.43, + "grad_norm": 1.7211502869746764, + "learning_rate": 1.2570497135364851e-05, + "loss": 0.8143, + "step": 18453 + }, + { + "epoch": 0.43, + "grad_norm": 1.5726454608812332, + "learning_rate": 1.2569759726389505e-05, + "loss": 0.7869, + "step": 18454 + }, + { + "epoch": 0.43, + "grad_norm": 0.8609241566288195, + "learning_rate": 1.2569022302452199e-05, + "loss": 0.7147, + "step": 18455 + }, + { + "epoch": 0.43, + "grad_norm": 0.7356180621828035, + "learning_rate": 1.2568284863557236e-05, + "loss": 0.7094, + "step": 18456 + }, + { + "epoch": 0.43, + "grad_norm": 2.193449711568744, + "learning_rate": 1.25675474097089e-05, + "loss": 0.8351, + "step": 18457 + }, + { + "epoch": 0.43, + "grad_norm": 0.8163650595846562, + "learning_rate": 1.2566809940911497e-05, + "loss": 0.7386, + "step": 18458 + }, + { + "epoch": 0.43, + "grad_norm": 1.939080657099378, + "learning_rate": 1.2566072457169308e-05, + "loss": 0.9641, + "step": 18459 + }, + { + "epoch": 0.43, + "grad_norm": 1.555239926988521, + "learning_rate": 1.2565334958486636e-05, + "loss": 0.8119, + "step": 18460 + }, + { + "epoch": 0.43, + "grad_norm": 0.8032569122111516, + "learning_rate": 1.2564597444867772e-05, + "loss": 0.6926, + "step": 18461 + }, + { + "epoch": 0.43, + "grad_norm": 1.8346155803359971, + "learning_rate": 1.256385991631701e-05, + "loss": 0.8968, + "step": 18462 + }, + { + "epoch": 0.43, + "grad_norm": 1.6938915650601531, + "learning_rate": 1.2563122372838642e-05, + "loss": 0.855, + "step": 18463 + }, + { + "epoch": 0.43, + "grad_norm": 1.8317340625226362, + "learning_rate": 1.2562384814436961e-05, + "loss": 0.7553, + "step": 18464 + }, + { + "epoch": 0.44, + "grad_norm": 1.568180994968676, + "learning_rate": 1.256164724111627e-05, + "loss": 0.6592, + "step": 18465 + }, + { + "epoch": 0.44, + "grad_norm": 1.7911598005902045, + "learning_rate": 1.2560909652880854e-05, + "loss": 0.8626, + "step": 18466 + }, + { + "epoch": 0.44, + "grad_norm": 2.628527698964872, + "learning_rate": 1.2560172049735016e-05, + "loss": 0.7996, + "step": 18467 + }, + { + "epoch": 0.44, + "grad_norm": 0.7336461006816265, + "learning_rate": 1.2559434431683042e-05, + "loss": 0.7107, + "step": 18468 + }, + { + "epoch": 0.44, + "grad_norm": 1.604512300948614, + "learning_rate": 1.2558696798729231e-05, + "loss": 0.8518, + "step": 18469 + }, + { + "epoch": 0.44, + "grad_norm": 1.5886730967672438, + "learning_rate": 1.255795915087788e-05, + "loss": 0.8734, + "step": 18470 + }, + { + "epoch": 0.44, + "grad_norm": 1.6497868550120274, + "learning_rate": 1.2557221488133276e-05, + "loss": 0.837, + "step": 18471 + }, + { + "epoch": 0.44, + "grad_norm": 1.569382581762408, + "learning_rate": 1.255648381049972e-05, + "loss": 0.8062, + "step": 18472 + }, + { + "epoch": 0.44, + "grad_norm": 1.6506696126662068, + "learning_rate": 1.2555746117981506e-05, + "loss": 0.7283, + "step": 18473 + }, + { + "epoch": 0.44, + "grad_norm": 1.833253128167209, + "learning_rate": 1.2555008410582932e-05, + "loss": 0.9211, + "step": 18474 + }, + { + "epoch": 0.44, + "grad_norm": 1.6506896988058968, + "learning_rate": 1.255427068830829e-05, + "loss": 0.833, + "step": 18475 + }, + { + "epoch": 0.44, + "grad_norm": 2.137256162506627, + "learning_rate": 1.255353295116187e-05, + "loss": 0.9072, + "step": 18476 + }, + { + "epoch": 0.44, + "grad_norm": 1.5744600054211237, + "learning_rate": 1.2552795199147979e-05, + "loss": 0.8725, + "step": 18477 + }, + { + "epoch": 0.44, + "grad_norm": 1.8939738217205584, + "learning_rate": 1.2552057432270903e-05, + "loss": 0.8667, + "step": 18478 + }, + { + "epoch": 0.44, + "grad_norm": 1.7224217883986421, + "learning_rate": 1.255131965053494e-05, + "loss": 0.9328, + "step": 18479 + }, + { + "epoch": 0.44, + "grad_norm": 1.483010756508878, + "learning_rate": 1.2550581853944388e-05, + "loss": 0.7509, + "step": 18480 + }, + { + "epoch": 0.44, + "grad_norm": 0.7866450136811267, + "learning_rate": 1.254984404250354e-05, + "loss": 0.7314, + "step": 18481 + }, + { + "epoch": 0.44, + "grad_norm": 2.1309870514400155, + "learning_rate": 1.2549106216216693e-05, + "loss": 0.9758, + "step": 18482 + }, + { + "epoch": 0.44, + "grad_norm": 1.5328726575976108, + "learning_rate": 1.2548368375088143e-05, + "loss": 0.955, + "step": 18483 + }, + { + "epoch": 0.44, + "grad_norm": 1.674295632068562, + "learning_rate": 1.2547630519122187e-05, + "loss": 0.8988, + "step": 18484 + }, + { + "epoch": 0.44, + "grad_norm": 1.56146950267762, + "learning_rate": 1.2546892648323114e-05, + "loss": 0.9401, + "step": 18485 + }, + { + "epoch": 0.44, + "grad_norm": 1.491143239939247, + "learning_rate": 1.2546154762695233e-05, + "loss": 0.9225, + "step": 18486 + }, + { + "epoch": 0.44, + "grad_norm": 1.6926881697623712, + "learning_rate": 1.2545416862242827e-05, + "loss": 0.9529, + "step": 18487 + }, + { + "epoch": 0.44, + "grad_norm": 2.071480398651526, + "learning_rate": 1.2544678946970201e-05, + "loss": 0.7655, + "step": 18488 + }, + { + "epoch": 0.44, + "grad_norm": 1.6105752652791168, + "learning_rate": 1.2543941016881647e-05, + "loss": 0.972, + "step": 18489 + }, + { + "epoch": 0.44, + "grad_norm": 1.6140856297657666, + "learning_rate": 1.2543203071981467e-05, + "loss": 0.8153, + "step": 18490 + }, + { + "epoch": 0.44, + "grad_norm": 1.5179472696239926, + "learning_rate": 1.254246511227395e-05, + "loss": 0.7919, + "step": 18491 + }, + { + "epoch": 0.44, + "grad_norm": 1.7806859548461356, + "learning_rate": 1.2541727137763395e-05, + "loss": 0.7982, + "step": 18492 + }, + { + "epoch": 0.44, + "grad_norm": 1.5269023805445359, + "learning_rate": 1.2540989148454102e-05, + "loss": 0.846, + "step": 18493 + }, + { + "epoch": 0.44, + "grad_norm": 1.5251293314605345, + "learning_rate": 1.2540251144350366e-05, + "loss": 0.7628, + "step": 18494 + }, + { + "epoch": 0.44, + "grad_norm": 1.5139149834771306, + "learning_rate": 1.2539513125456484e-05, + "loss": 1.006, + "step": 18495 + }, + { + "epoch": 0.44, + "grad_norm": 1.6114983480662641, + "learning_rate": 1.253877509177675e-05, + "loss": 0.8441, + "step": 18496 + }, + { + "epoch": 0.44, + "grad_norm": 1.5810769517765577, + "learning_rate": 1.2538037043315465e-05, + "loss": 0.8334, + "step": 18497 + }, + { + "epoch": 0.44, + "grad_norm": 1.7911912949571818, + "learning_rate": 1.2537298980076926e-05, + "loss": 0.8977, + "step": 18498 + }, + { + "epoch": 0.44, + "grad_norm": 1.5655316389103584, + "learning_rate": 1.2536560902065427e-05, + "loss": 0.8833, + "step": 18499 + }, + { + "epoch": 0.44, + "grad_norm": 1.435536872129883, + "learning_rate": 1.253582280928527e-05, + "loss": 0.8286, + "step": 18500 + }, + { + "epoch": 0.44, + "grad_norm": 1.5119486046918005, + "learning_rate": 1.2535084701740748e-05, + "loss": 0.962, + "step": 18501 + }, + { + "epoch": 0.44, + "grad_norm": 1.894720348372885, + "learning_rate": 1.2534346579436158e-05, + "loss": 0.7338, + "step": 18502 + }, + { + "epoch": 0.44, + "grad_norm": 1.5792129059487923, + "learning_rate": 1.2533608442375803e-05, + "loss": 0.8167, + "step": 18503 + }, + { + "epoch": 0.44, + "grad_norm": 1.9213888370994223, + "learning_rate": 1.2532870290563976e-05, + "loss": 0.9326, + "step": 18504 + }, + { + "epoch": 0.44, + "grad_norm": 1.4540202957207435, + "learning_rate": 1.253213212400498e-05, + "loss": 0.9357, + "step": 18505 + }, + { + "epoch": 0.44, + "grad_norm": 1.5001471986325972, + "learning_rate": 1.2531393942703104e-05, + "loss": 0.8724, + "step": 18506 + }, + { + "epoch": 0.44, + "grad_norm": 1.9816758446410039, + "learning_rate": 1.2530655746662657e-05, + "loss": 0.8683, + "step": 18507 + }, + { + "epoch": 0.44, + "grad_norm": 2.087853227183185, + "learning_rate": 1.2529917535887923e-05, + "loss": 1.0032, + "step": 18508 + }, + { + "epoch": 0.44, + "grad_norm": 1.445930967996537, + "learning_rate": 1.2529179310383215e-05, + "loss": 0.9524, + "step": 18509 + }, + { + "epoch": 0.44, + "grad_norm": 1.586329650189806, + "learning_rate": 1.252844107015282e-05, + "loss": 0.874, + "step": 18510 + }, + { + "epoch": 0.44, + "grad_norm": 0.8806991125075323, + "learning_rate": 1.2527702815201043e-05, + "loss": 0.7357, + "step": 18511 + }, + { + "epoch": 0.44, + "grad_norm": 1.8450220075217754, + "learning_rate": 1.2526964545532182e-05, + "loss": 0.9579, + "step": 18512 + }, + { + "epoch": 0.44, + "grad_norm": 0.7826576128324804, + "learning_rate": 1.2526226261150527e-05, + "loss": 0.7418, + "step": 18513 + }, + { + "epoch": 0.44, + "grad_norm": 1.4834007166205534, + "learning_rate": 1.2525487962060389e-05, + "loss": 0.9117, + "step": 18514 + }, + { + "epoch": 0.44, + "grad_norm": 0.8643890325358029, + "learning_rate": 1.2524749648266054e-05, + "loss": 0.7998, + "step": 18515 + }, + { + "epoch": 0.44, + "grad_norm": 1.7851956474039918, + "learning_rate": 1.2524011319771833e-05, + "loss": 0.779, + "step": 18516 + }, + { + "epoch": 0.44, + "grad_norm": 1.7095704765057167, + "learning_rate": 1.2523272976582018e-05, + "loss": 0.9048, + "step": 18517 + }, + { + "epoch": 0.44, + "grad_norm": 1.5637234070983068, + "learning_rate": 1.252253461870091e-05, + "loss": 0.9782, + "step": 18518 + }, + { + "epoch": 0.44, + "grad_norm": 1.7895310851323376, + "learning_rate": 1.2521796246132804e-05, + "loss": 0.7614, + "step": 18519 + }, + { + "epoch": 0.44, + "grad_norm": 1.4985738070233963, + "learning_rate": 1.2521057858882002e-05, + "loss": 0.8645, + "step": 18520 + }, + { + "epoch": 0.44, + "grad_norm": 0.7619593767502519, + "learning_rate": 1.2520319456952806e-05, + "loss": 0.7283, + "step": 18521 + }, + { + "epoch": 0.44, + "grad_norm": 1.9459643381815117, + "learning_rate": 1.2519581040349508e-05, + "loss": 0.8842, + "step": 18522 + }, + { + "epoch": 0.44, + "grad_norm": 1.6547094037486785, + "learning_rate": 1.2518842609076414e-05, + "loss": 0.7547, + "step": 18523 + }, + { + "epoch": 0.44, + "grad_norm": 1.6379867716174878, + "learning_rate": 1.2518104163137821e-05, + "loss": 0.911, + "step": 18524 + }, + { + "epoch": 0.44, + "grad_norm": 1.7294119032621071, + "learning_rate": 1.2517365702538026e-05, + "loss": 0.9097, + "step": 18525 + }, + { + "epoch": 0.44, + "grad_norm": 0.76296941274947, + "learning_rate": 1.2516627227281336e-05, + "loss": 0.7144, + "step": 18526 + }, + { + "epoch": 0.44, + "grad_norm": 1.6537843454806018, + "learning_rate": 1.2515888737372042e-05, + "loss": 0.8865, + "step": 18527 + }, + { + "epoch": 0.44, + "grad_norm": 1.639791107506259, + "learning_rate": 1.2515150232814446e-05, + "loss": 0.9655, + "step": 18528 + }, + { + "epoch": 0.44, + "grad_norm": 1.9461485513060979, + "learning_rate": 1.251441171361285e-05, + "loss": 0.9286, + "step": 18529 + }, + { + "epoch": 0.44, + "grad_norm": 1.8627531412036629, + "learning_rate": 1.2513673179771555e-05, + "loss": 0.7758, + "step": 18530 + }, + { + "epoch": 0.44, + "grad_norm": 1.5795428281041237, + "learning_rate": 1.2512934631294858e-05, + "loss": 0.8383, + "step": 18531 + }, + { + "epoch": 0.44, + "grad_norm": 2.0840415106315286, + "learning_rate": 1.251219606818706e-05, + "loss": 0.7247, + "step": 18532 + }, + { + "epoch": 0.44, + "grad_norm": 1.9872804892728055, + "learning_rate": 1.251145749045246e-05, + "loss": 0.8695, + "step": 18533 + }, + { + "epoch": 0.44, + "grad_norm": 1.458454700640228, + "learning_rate": 1.2510718898095359e-05, + "loss": 0.7663, + "step": 18534 + }, + { + "epoch": 0.44, + "grad_norm": 1.4767169428726241, + "learning_rate": 1.2509980291120061e-05, + "loss": 0.8556, + "step": 18535 + }, + { + "epoch": 0.44, + "grad_norm": 1.941048133881919, + "learning_rate": 1.2509241669530858e-05, + "loss": 0.8505, + "step": 18536 + }, + { + "epoch": 0.44, + "grad_norm": 1.5888541976641557, + "learning_rate": 1.250850303333206e-05, + "loss": 0.8392, + "step": 18537 + }, + { + "epoch": 0.44, + "grad_norm": 0.7911179089349049, + "learning_rate": 1.250776438252796e-05, + "loss": 0.7956, + "step": 18538 + }, + { + "epoch": 0.44, + "grad_norm": 1.5930258375443358, + "learning_rate": 1.2507025717122865e-05, + "loss": 0.8546, + "step": 18539 + }, + { + "epoch": 0.44, + "grad_norm": 1.4349992842804022, + "learning_rate": 1.2506287037121072e-05, + "loss": 0.7167, + "step": 18540 + }, + { + "epoch": 0.44, + "grad_norm": 1.9204535574431536, + "learning_rate": 1.250554834252688e-05, + "loss": 0.8127, + "step": 18541 + }, + { + "epoch": 0.44, + "grad_norm": 1.6574548219448695, + "learning_rate": 1.2504809633344594e-05, + "loss": 0.8776, + "step": 18542 + }, + { + "epoch": 0.44, + "grad_norm": 1.8891461157529665, + "learning_rate": 1.2504070909578515e-05, + "loss": 0.8347, + "step": 18543 + }, + { + "epoch": 0.44, + "grad_norm": 2.0674190839732014, + "learning_rate": 1.2503332171232938e-05, + "loss": 0.9403, + "step": 18544 + }, + { + "epoch": 0.44, + "grad_norm": 1.9323645799394715, + "learning_rate": 1.250259341831217e-05, + "loss": 0.776, + "step": 18545 + }, + { + "epoch": 0.44, + "grad_norm": 1.700043066416679, + "learning_rate": 1.2501854650820513e-05, + "loss": 0.9498, + "step": 18546 + }, + { + "epoch": 0.44, + "grad_norm": 1.4401888560758092, + "learning_rate": 1.2501115868762264e-05, + "loss": 0.8815, + "step": 18547 + }, + { + "epoch": 0.44, + "grad_norm": 1.4038467987293557, + "learning_rate": 1.2500377072141727e-05, + "loss": 0.995, + "step": 18548 + }, + { + "epoch": 0.44, + "grad_norm": 0.760414272764136, + "learning_rate": 1.2499638260963204e-05, + "loss": 0.7848, + "step": 18549 + }, + { + "epoch": 0.44, + "grad_norm": 1.8045040173516476, + "learning_rate": 1.2498899435230996e-05, + "loss": 0.8165, + "step": 18550 + }, + { + "epoch": 0.44, + "grad_norm": 1.5613595131219713, + "learning_rate": 1.2498160594949402e-05, + "loss": 0.8793, + "step": 18551 + }, + { + "epoch": 0.44, + "grad_norm": 1.89056745461118, + "learning_rate": 1.2497421740122728e-05, + "loss": 0.9002, + "step": 18552 + }, + { + "epoch": 0.44, + "grad_norm": 1.8053841191740316, + "learning_rate": 1.2496682870755275e-05, + "loss": 0.9349, + "step": 18553 + }, + { + "epoch": 0.44, + "grad_norm": 1.5350543181044463, + "learning_rate": 1.2495943986851342e-05, + "loss": 0.8555, + "step": 18554 + }, + { + "epoch": 0.44, + "grad_norm": 1.3768646937027846, + "learning_rate": 1.2495205088415233e-05, + "loss": 0.878, + "step": 18555 + }, + { + "epoch": 0.44, + "grad_norm": 1.6651088775473764, + "learning_rate": 1.2494466175451253e-05, + "loss": 0.9598, + "step": 18556 + }, + { + "epoch": 0.44, + "grad_norm": 1.6684123508041824, + "learning_rate": 1.2493727247963695e-05, + "loss": 0.7703, + "step": 18557 + }, + { + "epoch": 0.44, + "grad_norm": 1.6454115447160715, + "learning_rate": 1.2492988305956875e-05, + "loss": 0.8399, + "step": 18558 + }, + { + "epoch": 0.44, + "grad_norm": 1.6791853225775828, + "learning_rate": 1.249224934943508e-05, + "loss": 0.91, + "step": 18559 + }, + { + "epoch": 0.44, + "grad_norm": 1.74945701969555, + "learning_rate": 1.2491510378402628e-05, + "loss": 0.8823, + "step": 18560 + }, + { + "epoch": 0.44, + "grad_norm": 1.8008822225930126, + "learning_rate": 1.2490771392863805e-05, + "loss": 0.8469, + "step": 18561 + }, + { + "epoch": 0.44, + "grad_norm": 1.5160541095374338, + "learning_rate": 1.2490032392822929e-05, + "loss": 0.9736, + "step": 18562 + }, + { + "epoch": 0.44, + "grad_norm": 1.5310462009513413, + "learning_rate": 1.2489293378284298e-05, + "loss": 0.8051, + "step": 18563 + }, + { + "epoch": 0.44, + "grad_norm": 1.512569994411533, + "learning_rate": 1.2488554349252205e-05, + "loss": 0.8541, + "step": 18564 + }, + { + "epoch": 0.44, + "grad_norm": 1.527011644298313, + "learning_rate": 1.2487815305730967e-05, + "loss": 0.8989, + "step": 18565 + }, + { + "epoch": 0.44, + "grad_norm": 0.7616959014394012, + "learning_rate": 1.2487076247724876e-05, + "loss": 0.7731, + "step": 18566 + }, + { + "epoch": 0.44, + "grad_norm": 1.6851570928404156, + "learning_rate": 1.2486337175238246e-05, + "loss": 0.8349, + "step": 18567 + }, + { + "epoch": 0.44, + "grad_norm": 1.7916037231518003, + "learning_rate": 1.2485598088275367e-05, + "loss": 0.9319, + "step": 18568 + }, + { + "epoch": 0.44, + "grad_norm": 1.5082369102115452, + "learning_rate": 1.2484858986840553e-05, + "loss": 0.8252, + "step": 18569 + }, + { + "epoch": 0.44, + "grad_norm": 1.8239478261810695, + "learning_rate": 1.2484119870938102e-05, + "loss": 0.9417, + "step": 18570 + }, + { + "epoch": 0.44, + "grad_norm": 1.7768441369028714, + "learning_rate": 1.2483380740572319e-05, + "loss": 0.8244, + "step": 18571 + }, + { + "epoch": 0.44, + "grad_norm": 1.6706477429468913, + "learning_rate": 1.2482641595747508e-05, + "loss": 0.8242, + "step": 18572 + }, + { + "epoch": 0.44, + "grad_norm": 0.7874292438890546, + "learning_rate": 1.2481902436467972e-05, + "loss": 0.742, + "step": 18573 + }, + { + "epoch": 0.44, + "grad_norm": 1.6048676582714014, + "learning_rate": 1.2481163262738011e-05, + "loss": 0.81, + "step": 18574 + }, + { + "epoch": 0.44, + "grad_norm": 1.5858854519039918, + "learning_rate": 1.2480424074561934e-05, + "loss": 0.8589, + "step": 18575 + }, + { + "epoch": 0.44, + "grad_norm": 2.3651474238833896, + "learning_rate": 1.2479684871944044e-05, + "loss": 0.915, + "step": 18576 + }, + { + "epoch": 0.44, + "grad_norm": 1.5928170801465793, + "learning_rate": 1.247894565488864e-05, + "loss": 0.9937, + "step": 18577 + }, + { + "epoch": 0.44, + "grad_norm": 1.5098689562360772, + "learning_rate": 1.2478206423400034e-05, + "loss": 0.9492, + "step": 18578 + }, + { + "epoch": 0.44, + "grad_norm": 1.723021242696674, + "learning_rate": 1.2477467177482524e-05, + "loss": 0.8399, + "step": 18579 + }, + { + "epoch": 0.44, + "grad_norm": 1.44398601135251, + "learning_rate": 1.2476727917140415e-05, + "loss": 0.7768, + "step": 18580 + }, + { + "epoch": 0.44, + "grad_norm": 2.499264651644108, + "learning_rate": 1.2475988642378011e-05, + "loss": 0.8561, + "step": 18581 + }, + { + "epoch": 0.44, + "grad_norm": 1.473181992223792, + "learning_rate": 1.247524935319962e-05, + "loss": 0.8577, + "step": 18582 + }, + { + "epoch": 0.44, + "grad_norm": 1.943238652226026, + "learning_rate": 1.247451004960954e-05, + "loss": 0.9073, + "step": 18583 + }, + { + "epoch": 0.44, + "grad_norm": 1.5420097305495493, + "learning_rate": 1.2473770731612084e-05, + "loss": 0.8565, + "step": 18584 + }, + { + "epoch": 0.44, + "grad_norm": 1.564033255899291, + "learning_rate": 1.2473031399211548e-05, + "loss": 0.7917, + "step": 18585 + }, + { + "epoch": 0.44, + "grad_norm": 1.692953913641639, + "learning_rate": 1.2472292052412243e-05, + "loss": 0.889, + "step": 18586 + }, + { + "epoch": 0.44, + "grad_norm": 1.5201452073783752, + "learning_rate": 1.2471552691218465e-05, + "loss": 0.8381, + "step": 18587 + }, + { + "epoch": 0.44, + "grad_norm": 1.5584306782862434, + "learning_rate": 1.247081331563453e-05, + "loss": 0.9328, + "step": 18588 + }, + { + "epoch": 0.44, + "grad_norm": 1.8937844104004105, + "learning_rate": 1.2470073925664736e-05, + "loss": 0.8355, + "step": 18589 + }, + { + "epoch": 0.44, + "grad_norm": 1.7363536330528169, + "learning_rate": 1.2469334521313392e-05, + "loss": 0.7582, + "step": 18590 + }, + { + "epoch": 0.44, + "grad_norm": 1.8014600089308617, + "learning_rate": 1.2468595102584798e-05, + "loss": 0.9095, + "step": 18591 + }, + { + "epoch": 0.44, + "grad_norm": 0.8417853743020346, + "learning_rate": 1.2467855669483262e-05, + "loss": 0.7749, + "step": 18592 + }, + { + "epoch": 0.44, + "grad_norm": 1.6458395603368392, + "learning_rate": 1.2467116222013089e-05, + "loss": 0.8098, + "step": 18593 + }, + { + "epoch": 0.44, + "grad_norm": 1.7499788469919815, + "learning_rate": 1.2466376760178584e-05, + "loss": 0.9619, + "step": 18594 + }, + { + "epoch": 0.44, + "grad_norm": 1.3658041969335515, + "learning_rate": 1.2465637283984056e-05, + "loss": 0.7659, + "step": 18595 + }, + { + "epoch": 0.44, + "grad_norm": 1.7036507085411485, + "learning_rate": 1.2464897793433803e-05, + "loss": 0.807, + "step": 18596 + }, + { + "epoch": 0.44, + "grad_norm": 1.836940403729908, + "learning_rate": 1.2464158288532136e-05, + "loss": 0.8448, + "step": 18597 + }, + { + "epoch": 0.44, + "grad_norm": 1.9591780076097198, + "learning_rate": 1.246341876928336e-05, + "loss": 0.8669, + "step": 18598 + }, + { + "epoch": 0.44, + "grad_norm": 1.5662694395859873, + "learning_rate": 1.2462679235691779e-05, + "loss": 0.7954, + "step": 18599 + }, + { + "epoch": 0.44, + "grad_norm": 1.894747372225828, + "learning_rate": 1.24619396877617e-05, + "loss": 0.7534, + "step": 18600 + }, + { + "epoch": 0.44, + "grad_norm": 1.5910189936400794, + "learning_rate": 1.2461200125497428e-05, + "loss": 0.8526, + "step": 18601 + }, + { + "epoch": 0.44, + "grad_norm": 1.4094343737609631, + "learning_rate": 1.2460460548903273e-05, + "loss": 0.8542, + "step": 18602 + }, + { + "epoch": 0.44, + "grad_norm": 1.7959828345270996, + "learning_rate": 1.2459720957983535e-05, + "loss": 0.7938, + "step": 18603 + }, + { + "epoch": 0.44, + "grad_norm": 1.4679231536982116, + "learning_rate": 1.2458981352742522e-05, + "loss": 0.9101, + "step": 18604 + }, + { + "epoch": 0.44, + "grad_norm": 1.6610288427145619, + "learning_rate": 1.2458241733184542e-05, + "loss": 0.8703, + "step": 18605 + }, + { + "epoch": 0.44, + "grad_norm": 1.8544494327429744, + "learning_rate": 1.2457502099313901e-05, + "loss": 0.8577, + "step": 18606 + }, + { + "epoch": 0.44, + "grad_norm": 1.716002110571162, + "learning_rate": 1.2456762451134905e-05, + "loss": 0.8621, + "step": 18607 + }, + { + "epoch": 0.44, + "grad_norm": 1.6297244202274543, + "learning_rate": 1.2456022788651858e-05, + "loss": 0.7661, + "step": 18608 + }, + { + "epoch": 0.44, + "grad_norm": 1.5616288011650663, + "learning_rate": 1.2455283111869072e-05, + "loss": 0.7602, + "step": 18609 + }, + { + "epoch": 0.44, + "grad_norm": 3.134741314798565, + "learning_rate": 1.2454543420790847e-05, + "loss": 0.8964, + "step": 18610 + }, + { + "epoch": 0.44, + "grad_norm": 1.6809452332605797, + "learning_rate": 1.2453803715421496e-05, + "loss": 0.7572, + "step": 18611 + }, + { + "epoch": 0.44, + "grad_norm": 1.641287635365525, + "learning_rate": 1.245306399576532e-05, + "loss": 0.8737, + "step": 18612 + }, + { + "epoch": 0.44, + "grad_norm": 1.6426238471327235, + "learning_rate": 1.2452324261826632e-05, + "loss": 0.9688, + "step": 18613 + }, + { + "epoch": 0.44, + "grad_norm": 1.7635936891679327, + "learning_rate": 1.2451584513609736e-05, + "loss": 0.8523, + "step": 18614 + }, + { + "epoch": 0.44, + "grad_norm": 1.5638014750200886, + "learning_rate": 1.2450844751118934e-05, + "loss": 0.9353, + "step": 18615 + }, + { + "epoch": 0.44, + "grad_norm": 0.8310332302512824, + "learning_rate": 1.2450104974358544e-05, + "loss": 0.7372, + "step": 18616 + }, + { + "epoch": 0.44, + "grad_norm": 1.5125079840118587, + "learning_rate": 1.2449365183332862e-05, + "loss": 0.9116, + "step": 18617 + }, + { + "epoch": 0.44, + "grad_norm": 1.5009334178896252, + "learning_rate": 1.2448625378046205e-05, + "loss": 0.9065, + "step": 18618 + }, + { + "epoch": 0.44, + "grad_norm": 1.6717523286183988, + "learning_rate": 1.244788555850287e-05, + "loss": 0.9664, + "step": 18619 + }, + { + "epoch": 0.44, + "grad_norm": 1.566306415913165, + "learning_rate": 1.2447145724707178e-05, + "loss": 0.7103, + "step": 18620 + }, + { + "epoch": 0.44, + "grad_norm": 1.552200203588767, + "learning_rate": 1.2446405876663424e-05, + "loss": 0.9291, + "step": 18621 + }, + { + "epoch": 0.44, + "grad_norm": 1.823010969550428, + "learning_rate": 1.2445666014375918e-05, + "loss": 0.8683, + "step": 18622 + }, + { + "epoch": 0.44, + "grad_norm": 1.5092774785208973, + "learning_rate": 1.2444926137848974e-05, + "loss": 0.839, + "step": 18623 + }, + { + "epoch": 0.44, + "grad_norm": 1.733610819915312, + "learning_rate": 1.2444186247086895e-05, + "loss": 0.7225, + "step": 18624 + }, + { + "epoch": 0.44, + "grad_norm": 2.3570977350771676, + "learning_rate": 1.244344634209399e-05, + "loss": 0.8545, + "step": 18625 + }, + { + "epoch": 0.44, + "grad_norm": 1.5666637167624657, + "learning_rate": 1.2442706422874567e-05, + "loss": 0.8995, + "step": 18626 + }, + { + "epoch": 0.44, + "grad_norm": 1.4441305841144776, + "learning_rate": 1.2441966489432936e-05, + "loss": 0.9431, + "step": 18627 + }, + { + "epoch": 0.44, + "grad_norm": 1.7318440461353428, + "learning_rate": 1.24412265417734e-05, + "loss": 0.8763, + "step": 18628 + }, + { + "epoch": 0.44, + "grad_norm": 1.464315332391821, + "learning_rate": 1.2440486579900268e-05, + "loss": 0.8963, + "step": 18629 + }, + { + "epoch": 0.44, + "grad_norm": 0.7839645100207328, + "learning_rate": 1.2439746603817855e-05, + "loss": 0.7497, + "step": 18630 + }, + { + "epoch": 0.44, + "grad_norm": 1.7294042623390606, + "learning_rate": 1.2439006613530462e-05, + "loss": 0.8309, + "step": 18631 + }, + { + "epoch": 0.44, + "grad_norm": 1.505046489789278, + "learning_rate": 1.2438266609042403e-05, + "loss": 0.8952, + "step": 18632 + }, + { + "epoch": 0.44, + "grad_norm": 1.566020313067043, + "learning_rate": 1.2437526590357982e-05, + "loss": 0.8923, + "step": 18633 + }, + { + "epoch": 0.44, + "grad_norm": 1.5447803965208087, + "learning_rate": 1.243678655748151e-05, + "loss": 0.9006, + "step": 18634 + }, + { + "epoch": 0.44, + "grad_norm": 1.8754563227083025, + "learning_rate": 1.2436046510417297e-05, + "loss": 0.9314, + "step": 18635 + }, + { + "epoch": 0.44, + "grad_norm": 0.8154982356887486, + "learning_rate": 1.2435306449169646e-05, + "loss": 0.7444, + "step": 18636 + }, + { + "epoch": 0.44, + "grad_norm": 1.7402565883921663, + "learning_rate": 1.2434566373742873e-05, + "loss": 0.8833, + "step": 18637 + }, + { + "epoch": 0.44, + "grad_norm": 1.8324919837708926, + "learning_rate": 1.2433826284141282e-05, + "loss": 0.9143, + "step": 18638 + }, + { + "epoch": 0.44, + "grad_norm": 1.6044830713554388, + "learning_rate": 1.2433086180369184e-05, + "loss": 0.9228, + "step": 18639 + }, + { + "epoch": 0.44, + "grad_norm": 1.3910870701063516, + "learning_rate": 1.2432346062430889e-05, + "loss": 0.7759, + "step": 18640 + }, + { + "epoch": 0.44, + "grad_norm": 1.4829404784340945, + "learning_rate": 1.2431605930330706e-05, + "loss": 0.7804, + "step": 18641 + }, + { + "epoch": 0.44, + "grad_norm": 1.6329428763547988, + "learning_rate": 1.243086578407294e-05, + "loss": 0.8629, + "step": 18642 + }, + { + "epoch": 0.44, + "grad_norm": 1.575302984666261, + "learning_rate": 1.2430125623661909e-05, + "loss": 0.9684, + "step": 18643 + }, + { + "epoch": 0.44, + "grad_norm": 1.8077564987309949, + "learning_rate": 1.2429385449101912e-05, + "loss": 0.8613, + "step": 18644 + }, + { + "epoch": 0.44, + "grad_norm": 1.6127827602087064, + "learning_rate": 1.2428645260397267e-05, + "loss": 0.8749, + "step": 18645 + }, + { + "epoch": 0.44, + "grad_norm": 1.807572199263825, + "learning_rate": 1.2427905057552279e-05, + "loss": 0.8824, + "step": 18646 + }, + { + "epoch": 0.44, + "grad_norm": 1.5239618156417738, + "learning_rate": 1.242716484057126e-05, + "loss": 0.8921, + "step": 18647 + }, + { + "epoch": 0.44, + "grad_norm": 1.6698593443392535, + "learning_rate": 1.2426424609458518e-05, + "loss": 0.968, + "step": 18648 + }, + { + "epoch": 0.44, + "grad_norm": 1.6656841463162972, + "learning_rate": 1.2425684364218365e-05, + "loss": 0.9049, + "step": 18649 + }, + { + "epoch": 0.44, + "grad_norm": 2.1168515367960783, + "learning_rate": 1.2424944104855107e-05, + "loss": 0.8622, + "step": 18650 + }, + { + "epoch": 0.44, + "grad_norm": 1.6320764366649956, + "learning_rate": 1.2424203831373058e-05, + "loss": 0.9699, + "step": 18651 + }, + { + "epoch": 0.44, + "grad_norm": 0.8044736703435609, + "learning_rate": 1.2423463543776529e-05, + "loss": 0.7406, + "step": 18652 + }, + { + "epoch": 0.44, + "grad_norm": 1.8075842264749513, + "learning_rate": 1.2422723242069826e-05, + "loss": 0.8121, + "step": 18653 + }, + { + "epoch": 0.44, + "grad_norm": 1.5301396865155434, + "learning_rate": 1.2421982926257262e-05, + "loss": 0.8102, + "step": 18654 + }, + { + "epoch": 0.44, + "grad_norm": 1.5026374048606255, + "learning_rate": 1.2421242596343144e-05, + "loss": 0.8763, + "step": 18655 + }, + { + "epoch": 0.44, + "grad_norm": 1.730072557679017, + "learning_rate": 1.242050225233179e-05, + "loss": 0.7783, + "step": 18656 + }, + { + "epoch": 0.44, + "grad_norm": 1.5793455067954516, + "learning_rate": 1.24197618942275e-05, + "loss": 0.803, + "step": 18657 + }, + { + "epoch": 0.44, + "grad_norm": 1.352060376186119, + "learning_rate": 1.2419021522034596e-05, + "loss": 0.8339, + "step": 18658 + }, + { + "epoch": 0.44, + "grad_norm": 1.582393294446416, + "learning_rate": 1.2418281135757378e-05, + "loss": 0.9127, + "step": 18659 + }, + { + "epoch": 0.44, + "grad_norm": 2.061410399698006, + "learning_rate": 1.2417540735400161e-05, + "loss": 0.9088, + "step": 18660 + }, + { + "epoch": 0.44, + "grad_norm": 1.8461358036903808, + "learning_rate": 1.241680032096726e-05, + "loss": 0.8407, + "step": 18661 + }, + { + "epoch": 0.44, + "grad_norm": 1.489036342479071, + "learning_rate": 1.2416059892462979e-05, + "loss": 0.9246, + "step": 18662 + }, + { + "epoch": 0.44, + "grad_norm": 1.636611624482529, + "learning_rate": 1.2415319449891638e-05, + "loss": 0.9206, + "step": 18663 + }, + { + "epoch": 0.44, + "grad_norm": 1.7145957973554087, + "learning_rate": 1.2414578993257535e-05, + "loss": 0.8785, + "step": 18664 + }, + { + "epoch": 0.44, + "grad_norm": 1.4278789753745402, + "learning_rate": 1.2413838522564997e-05, + "loss": 0.8466, + "step": 18665 + }, + { + "epoch": 0.44, + "grad_norm": 2.8929448576032195, + "learning_rate": 1.2413098037818321e-05, + "loss": 0.8872, + "step": 18666 + }, + { + "epoch": 0.44, + "grad_norm": 0.7550836967009166, + "learning_rate": 1.2412357539021826e-05, + "loss": 0.7477, + "step": 18667 + }, + { + "epoch": 0.44, + "grad_norm": 1.4383592510816436, + "learning_rate": 1.2411617026179821e-05, + "loss": 0.9978, + "step": 18668 + }, + { + "epoch": 0.44, + "grad_norm": 0.8085245486017179, + "learning_rate": 1.241087649929662e-05, + "loss": 0.7497, + "step": 18669 + }, + { + "epoch": 0.44, + "grad_norm": 1.4508829217817198, + "learning_rate": 1.241013595837653e-05, + "loss": 0.8649, + "step": 18670 + }, + { + "epoch": 0.44, + "grad_norm": 1.595891234378773, + "learning_rate": 1.240939540342387e-05, + "loss": 0.9757, + "step": 18671 + }, + { + "epoch": 0.44, + "grad_norm": 1.6467574291292482, + "learning_rate": 1.2408654834442942e-05, + "loss": 1.0508, + "step": 18672 + }, + { + "epoch": 0.44, + "grad_norm": 1.6274751577588575, + "learning_rate": 1.2407914251438065e-05, + "loss": 0.7746, + "step": 18673 + }, + { + "epoch": 0.44, + "grad_norm": 1.7849950997268758, + "learning_rate": 1.2407173654413549e-05, + "loss": 0.7504, + "step": 18674 + }, + { + "epoch": 0.44, + "grad_norm": 1.791125001155868, + "learning_rate": 1.2406433043373707e-05, + "loss": 0.9678, + "step": 18675 + }, + { + "epoch": 0.44, + "grad_norm": 1.8939404954366625, + "learning_rate": 1.2405692418322847e-05, + "loss": 0.8801, + "step": 18676 + }, + { + "epoch": 0.44, + "grad_norm": 1.6372963545418382, + "learning_rate": 1.2404951779265287e-05, + "loss": 0.8098, + "step": 18677 + }, + { + "epoch": 0.44, + "grad_norm": 1.725601784200772, + "learning_rate": 1.2404211126205335e-05, + "loss": 0.8702, + "step": 18678 + }, + { + "epoch": 0.44, + "grad_norm": 1.580412359294269, + "learning_rate": 1.2403470459147305e-05, + "loss": 0.9397, + "step": 18679 + }, + { + "epoch": 0.44, + "grad_norm": 1.852432353098998, + "learning_rate": 1.2402729778095507e-05, + "loss": 0.8253, + "step": 18680 + }, + { + "epoch": 0.44, + "grad_norm": 1.6025711808183853, + "learning_rate": 1.2401989083054258e-05, + "loss": 0.933, + "step": 18681 + }, + { + "epoch": 0.44, + "grad_norm": 1.6130913480583517, + "learning_rate": 1.2401248374027868e-05, + "loss": 0.8928, + "step": 18682 + }, + { + "epoch": 0.44, + "grad_norm": 1.7456292448391977, + "learning_rate": 1.240050765102065e-05, + "loss": 0.736, + "step": 18683 + }, + { + "epoch": 0.44, + "grad_norm": 1.8780386747159292, + "learning_rate": 1.2399766914036914e-05, + "loss": 0.9348, + "step": 18684 + }, + { + "epoch": 0.44, + "grad_norm": 1.6685006698615217, + "learning_rate": 1.2399026163080978e-05, + "loss": 0.9653, + "step": 18685 + }, + { + "epoch": 0.44, + "grad_norm": 1.578054908729407, + "learning_rate": 1.2398285398157153e-05, + "loss": 0.724, + "step": 18686 + }, + { + "epoch": 0.44, + "grad_norm": 1.7918585298349232, + "learning_rate": 1.2397544619269748e-05, + "loss": 0.8389, + "step": 18687 + }, + { + "epoch": 0.44, + "grad_norm": 1.6015475427078858, + "learning_rate": 1.2396803826423083e-05, + "loss": 0.8866, + "step": 18688 + }, + { + "epoch": 0.44, + "grad_norm": 1.7315751804691224, + "learning_rate": 1.2396063019621463e-05, + "loss": 0.9258, + "step": 18689 + }, + { + "epoch": 0.44, + "grad_norm": 1.7435955603796052, + "learning_rate": 1.2395322198869209e-05, + "loss": 0.9488, + "step": 18690 + }, + { + "epoch": 0.44, + "grad_norm": 2.1412431379585186, + "learning_rate": 1.2394581364170626e-05, + "loss": 0.8378, + "step": 18691 + }, + { + "epoch": 0.44, + "grad_norm": 2.2335745380967773, + "learning_rate": 1.2393840515530038e-05, + "loss": 0.7598, + "step": 18692 + }, + { + "epoch": 0.44, + "grad_norm": 1.8296668806940577, + "learning_rate": 1.239309965295175e-05, + "loss": 0.8221, + "step": 18693 + }, + { + "epoch": 0.44, + "grad_norm": 0.7899345782081604, + "learning_rate": 1.2392358776440076e-05, + "loss": 0.7391, + "step": 18694 + }, + { + "epoch": 0.44, + "grad_norm": 1.6221455912580618, + "learning_rate": 1.2391617885999336e-05, + "loss": 0.9191, + "step": 18695 + }, + { + "epoch": 0.44, + "grad_norm": 1.7680785527328293, + "learning_rate": 1.2390876981633838e-05, + "loss": 0.9139, + "step": 18696 + }, + { + "epoch": 0.44, + "grad_norm": 1.4897223308628513, + "learning_rate": 1.2390136063347895e-05, + "loss": 0.828, + "step": 18697 + }, + { + "epoch": 0.44, + "grad_norm": 2.2076761219957954, + "learning_rate": 1.2389395131145823e-05, + "loss": 0.8408, + "step": 18698 + }, + { + "epoch": 0.44, + "grad_norm": 0.7826555355135969, + "learning_rate": 1.2388654185031941e-05, + "loss": 0.7677, + "step": 18699 + }, + { + "epoch": 0.44, + "grad_norm": 0.7512558739042291, + "learning_rate": 1.2387913225010554e-05, + "loss": 0.748, + "step": 18700 + }, + { + "epoch": 0.44, + "grad_norm": 1.614926486728685, + "learning_rate": 1.2387172251085982e-05, + "loss": 0.8753, + "step": 18701 + }, + { + "epoch": 0.44, + "grad_norm": 1.6522486419753628, + "learning_rate": 1.2386431263262538e-05, + "loss": 0.8148, + "step": 18702 + }, + { + "epoch": 0.44, + "grad_norm": 0.7480026230199581, + "learning_rate": 1.2385690261544531e-05, + "loss": 0.7489, + "step": 18703 + }, + { + "epoch": 0.44, + "grad_norm": 1.588767563016141, + "learning_rate": 1.2384949245936284e-05, + "loss": 0.7892, + "step": 18704 + }, + { + "epoch": 0.44, + "grad_norm": 1.674708508768864, + "learning_rate": 1.2384208216442106e-05, + "loss": 0.8586, + "step": 18705 + }, + { + "epoch": 0.44, + "grad_norm": 1.3480086260903226, + "learning_rate": 1.2383467173066315e-05, + "loss": 0.7903, + "step": 18706 + }, + { + "epoch": 0.44, + "grad_norm": 1.6190588580529972, + "learning_rate": 1.2382726115813224e-05, + "loss": 0.8394, + "step": 18707 + }, + { + "epoch": 0.44, + "grad_norm": 0.7577312780011937, + "learning_rate": 1.2381985044687144e-05, + "loss": 0.6912, + "step": 18708 + }, + { + "epoch": 0.44, + "grad_norm": 1.50886600822469, + "learning_rate": 1.2381243959692394e-05, + "loss": 0.8613, + "step": 18709 + }, + { + "epoch": 0.44, + "grad_norm": 0.7603593994774995, + "learning_rate": 1.2380502860833287e-05, + "loss": 0.7496, + "step": 18710 + }, + { + "epoch": 0.44, + "grad_norm": 1.8710139121369376, + "learning_rate": 1.237976174811414e-05, + "loss": 0.9611, + "step": 18711 + }, + { + "epoch": 0.44, + "grad_norm": 1.6259148782193025, + "learning_rate": 1.2379020621539266e-05, + "loss": 0.8701, + "step": 18712 + }, + { + "epoch": 0.44, + "grad_norm": 1.5441809475705959, + "learning_rate": 1.2378279481112983e-05, + "loss": 0.9432, + "step": 18713 + }, + { + "epoch": 0.44, + "grad_norm": 1.855906393708446, + "learning_rate": 1.2377538326839603e-05, + "loss": 0.797, + "step": 18714 + }, + { + "epoch": 0.44, + "grad_norm": 2.101243091300917, + "learning_rate": 1.2376797158723439e-05, + "loss": 0.854, + "step": 18715 + }, + { + "epoch": 0.44, + "grad_norm": 1.4581990365523332, + "learning_rate": 1.2376055976768815e-05, + "loss": 0.7138, + "step": 18716 + }, + { + "epoch": 0.44, + "grad_norm": 1.4844401000987408, + "learning_rate": 1.2375314780980034e-05, + "loss": 0.7695, + "step": 18717 + }, + { + "epoch": 0.44, + "grad_norm": 0.7504085408904981, + "learning_rate": 1.2374573571361426e-05, + "loss": 0.739, + "step": 18718 + }, + { + "epoch": 0.44, + "grad_norm": 1.427981354694639, + "learning_rate": 1.2373832347917292e-05, + "loss": 0.8682, + "step": 18719 + }, + { + "epoch": 0.44, + "grad_norm": 11.724568834798001, + "learning_rate": 1.2373091110651958e-05, + "loss": 0.8696, + "step": 18720 + }, + { + "epoch": 0.44, + "grad_norm": 1.4557781196679114, + "learning_rate": 1.2372349859569737e-05, + "loss": 0.7804, + "step": 18721 + }, + { + "epoch": 0.44, + "grad_norm": 1.5037742375282768, + "learning_rate": 1.2371608594674943e-05, + "loss": 0.8169, + "step": 18722 + }, + { + "epoch": 0.44, + "grad_norm": 0.7810848631710562, + "learning_rate": 1.237086731597189e-05, + "loss": 0.764, + "step": 18723 + }, + { + "epoch": 0.44, + "grad_norm": 1.6851295321989177, + "learning_rate": 1.2370126023464901e-05, + "loss": 0.9367, + "step": 18724 + }, + { + "epoch": 0.44, + "grad_norm": 1.6615335221654088, + "learning_rate": 1.2369384717158285e-05, + "loss": 1.0448, + "step": 18725 + }, + { + "epoch": 0.44, + "grad_norm": 1.8456824941402974, + "learning_rate": 1.2368643397056364e-05, + "loss": 0.7957, + "step": 18726 + }, + { + "epoch": 0.44, + "grad_norm": 1.8629558827591057, + "learning_rate": 1.2367902063163448e-05, + "loss": 0.7761, + "step": 18727 + }, + { + "epoch": 0.44, + "grad_norm": 1.5905383941946392, + "learning_rate": 1.236716071548386e-05, + "loss": 0.8163, + "step": 18728 + }, + { + "epoch": 0.44, + "grad_norm": 1.6109947303465508, + "learning_rate": 1.236641935402191e-05, + "loss": 0.8496, + "step": 18729 + }, + { + "epoch": 0.44, + "grad_norm": 0.8017818376397845, + "learning_rate": 1.2365677978781919e-05, + "loss": 0.6704, + "step": 18730 + }, + { + "epoch": 0.44, + "grad_norm": 1.7630951655743177, + "learning_rate": 1.2364936589768202e-05, + "loss": 0.7478, + "step": 18731 + }, + { + "epoch": 0.44, + "grad_norm": 3.3858004713924927, + "learning_rate": 1.2364195186985073e-05, + "loss": 0.98, + "step": 18732 + }, + { + "epoch": 0.44, + "grad_norm": 1.7724057805067543, + "learning_rate": 1.2363453770436853e-05, + "loss": 0.9605, + "step": 18733 + }, + { + "epoch": 0.44, + "grad_norm": 1.879205307623305, + "learning_rate": 1.2362712340127856e-05, + "loss": 0.9165, + "step": 18734 + }, + { + "epoch": 0.44, + "grad_norm": 1.7946913652430418, + "learning_rate": 1.23619708960624e-05, + "loss": 0.9477, + "step": 18735 + }, + { + "epoch": 0.44, + "grad_norm": 1.8616669547122406, + "learning_rate": 1.2361229438244803e-05, + "loss": 0.861, + "step": 18736 + }, + { + "epoch": 0.44, + "grad_norm": 1.8278232539973984, + "learning_rate": 1.2360487966679383e-05, + "loss": 0.9231, + "step": 18737 + }, + { + "epoch": 0.44, + "grad_norm": 1.875395148705261, + "learning_rate": 1.2359746481370447e-05, + "loss": 1.0135, + "step": 18738 + }, + { + "epoch": 0.44, + "grad_norm": 1.7730872065212102, + "learning_rate": 1.2359004982322328e-05, + "loss": 0.9452, + "step": 18739 + }, + { + "epoch": 0.44, + "grad_norm": 1.455217665103522, + "learning_rate": 1.2358263469539328e-05, + "loss": 0.9073, + "step": 18740 + }, + { + "epoch": 0.44, + "grad_norm": 1.588233869342729, + "learning_rate": 1.2357521943025779e-05, + "loss": 0.9722, + "step": 18741 + }, + { + "epoch": 0.44, + "grad_norm": 1.8745129595322911, + "learning_rate": 1.2356780402785985e-05, + "loss": 0.8384, + "step": 18742 + }, + { + "epoch": 0.44, + "grad_norm": 1.5790002060642236, + "learning_rate": 1.2356038848824272e-05, + "loss": 0.8908, + "step": 18743 + }, + { + "epoch": 0.44, + "grad_norm": 1.643045064566485, + "learning_rate": 1.2355297281144953e-05, + "loss": 0.8979, + "step": 18744 + }, + { + "epoch": 0.44, + "grad_norm": 2.145961022361672, + "learning_rate": 1.2354555699752351e-05, + "loss": 0.9391, + "step": 18745 + }, + { + "epoch": 0.44, + "grad_norm": 0.73588809552938, + "learning_rate": 1.2353814104650777e-05, + "loss": 0.73, + "step": 18746 + }, + { + "epoch": 0.44, + "grad_norm": 1.5698897092248845, + "learning_rate": 1.2353072495844551e-05, + "loss": 0.7979, + "step": 18747 + }, + { + "epoch": 0.44, + "grad_norm": 1.9061128925233608, + "learning_rate": 1.2352330873337995e-05, + "loss": 0.9209, + "step": 18748 + }, + { + "epoch": 0.44, + "grad_norm": 1.6292758878772022, + "learning_rate": 1.2351589237135422e-05, + "loss": 0.8608, + "step": 18749 + }, + { + "epoch": 0.44, + "grad_norm": 2.3618432605713964, + "learning_rate": 1.2350847587241155e-05, + "loss": 0.8899, + "step": 18750 + }, + { + "epoch": 0.44, + "grad_norm": 1.6118941620191998, + "learning_rate": 1.2350105923659506e-05, + "loss": 0.9042, + "step": 18751 + }, + { + "epoch": 0.44, + "grad_norm": 2.0339406934301465, + "learning_rate": 1.2349364246394797e-05, + "loss": 0.9299, + "step": 18752 + }, + { + "epoch": 0.44, + "grad_norm": 1.7607038850659311, + "learning_rate": 1.2348622555451346e-05, + "loss": 0.9266, + "step": 18753 + }, + { + "epoch": 0.44, + "grad_norm": 1.846098405811811, + "learning_rate": 1.2347880850833472e-05, + "loss": 0.8387, + "step": 18754 + }, + { + "epoch": 0.44, + "grad_norm": 1.8087989277375491, + "learning_rate": 1.234713913254549e-05, + "loss": 0.907, + "step": 18755 + }, + { + "epoch": 0.44, + "grad_norm": 0.8312257441913444, + "learning_rate": 1.2346397400591721e-05, + "loss": 0.7984, + "step": 18756 + }, + { + "epoch": 0.44, + "grad_norm": 2.0213424134768845, + "learning_rate": 1.2345655654976485e-05, + "loss": 0.8581, + "step": 18757 + }, + { + "epoch": 0.44, + "grad_norm": 1.8605375267369506, + "learning_rate": 1.2344913895704099e-05, + "loss": 0.8332, + "step": 18758 + }, + { + "epoch": 0.44, + "grad_norm": 1.822752962283348, + "learning_rate": 1.2344172122778882e-05, + "loss": 0.875, + "step": 18759 + }, + { + "epoch": 0.44, + "grad_norm": 1.4644743792229589, + "learning_rate": 1.234343033620515e-05, + "loss": 0.8098, + "step": 18760 + }, + { + "epoch": 0.44, + "grad_norm": 2.148036966024165, + "learning_rate": 1.2342688535987228e-05, + "loss": 0.9448, + "step": 18761 + }, + { + "epoch": 0.44, + "grad_norm": 1.5266768678444596, + "learning_rate": 1.234194672212943e-05, + "loss": 0.9978, + "step": 18762 + }, + { + "epoch": 0.44, + "grad_norm": 1.678766296767539, + "learning_rate": 1.234120489463608e-05, + "loss": 0.9476, + "step": 18763 + }, + { + "epoch": 0.44, + "grad_norm": 1.5791779768099115, + "learning_rate": 1.234046305351149e-05, + "loss": 0.8872, + "step": 18764 + }, + { + "epoch": 0.44, + "grad_norm": 1.7257271294432652, + "learning_rate": 1.2339721198759987e-05, + "loss": 0.8376, + "step": 18765 + }, + { + "epoch": 0.44, + "grad_norm": 2.203534763932395, + "learning_rate": 1.2338979330385881e-05, + "loss": 0.8422, + "step": 18766 + }, + { + "epoch": 0.44, + "grad_norm": 2.005168673228064, + "learning_rate": 1.23382374483935e-05, + "loss": 0.8885, + "step": 18767 + }, + { + "epoch": 0.44, + "grad_norm": 1.7092577872400916, + "learning_rate": 1.2337495552787157e-05, + "loss": 0.9929, + "step": 18768 + }, + { + "epoch": 0.44, + "grad_norm": 0.7546641692159987, + "learning_rate": 1.2336753643571181e-05, + "loss": 0.6915, + "step": 18769 + }, + { + "epoch": 0.44, + "grad_norm": 1.8314464090954636, + "learning_rate": 1.2336011720749881e-05, + "loss": 1.0079, + "step": 18770 + }, + { + "epoch": 0.44, + "grad_norm": 0.7666603105541452, + "learning_rate": 1.2335269784327583e-05, + "loss": 0.7691, + "step": 18771 + }, + { + "epoch": 0.44, + "grad_norm": 3.0921806583844185, + "learning_rate": 1.2334527834308606e-05, + "loss": 0.8195, + "step": 18772 + }, + { + "epoch": 0.44, + "grad_norm": 1.5995464934474029, + "learning_rate": 1.2333785870697265e-05, + "loss": 0.9284, + "step": 18773 + }, + { + "epoch": 0.44, + "grad_norm": 2.226998219317238, + "learning_rate": 1.2333043893497886e-05, + "loss": 0.8442, + "step": 18774 + }, + { + "epoch": 0.44, + "grad_norm": 1.689293684526434, + "learning_rate": 1.2332301902714789e-05, + "loss": 0.7963, + "step": 18775 + }, + { + "epoch": 0.44, + "grad_norm": 1.5928653605219782, + "learning_rate": 1.233155989835229e-05, + "loss": 0.6714, + "step": 18776 + }, + { + "epoch": 0.44, + "grad_norm": 1.528532021723323, + "learning_rate": 1.233081788041471e-05, + "loss": 0.9418, + "step": 18777 + }, + { + "epoch": 0.44, + "grad_norm": 1.5200708418647844, + "learning_rate": 1.2330075848906371e-05, + "loss": 0.753, + "step": 18778 + }, + { + "epoch": 0.44, + "grad_norm": 4.077304694599245, + "learning_rate": 1.2329333803831593e-05, + "loss": 0.9055, + "step": 18779 + }, + { + "epoch": 0.44, + "grad_norm": 1.5644575455785594, + "learning_rate": 1.2328591745194696e-05, + "loss": 0.908, + "step": 18780 + }, + { + "epoch": 0.44, + "grad_norm": 1.4485817242218446, + "learning_rate": 1.2327849673000001e-05, + "loss": 0.9063, + "step": 18781 + }, + { + "epoch": 0.44, + "grad_norm": 0.7927776899855739, + "learning_rate": 1.2327107587251827e-05, + "loss": 0.7805, + "step": 18782 + }, + { + "epoch": 0.44, + "grad_norm": 1.7264084475019599, + "learning_rate": 1.2326365487954497e-05, + "loss": 0.86, + "step": 18783 + }, + { + "epoch": 0.44, + "grad_norm": 0.8977253410440179, + "learning_rate": 1.232562337511233e-05, + "loss": 0.7323, + "step": 18784 + }, + { + "epoch": 0.44, + "grad_norm": 0.7389359414399823, + "learning_rate": 1.232488124872965e-05, + "loss": 0.6837, + "step": 18785 + }, + { + "epoch": 0.44, + "grad_norm": 1.8145290174167594, + "learning_rate": 1.2324139108810775e-05, + "loss": 0.9206, + "step": 18786 + }, + { + "epoch": 0.44, + "grad_norm": 0.7437538320874731, + "learning_rate": 1.2323396955360023e-05, + "loss": 0.7801, + "step": 18787 + }, + { + "epoch": 0.44, + "grad_norm": 1.538508937907924, + "learning_rate": 1.232265478838172e-05, + "loss": 0.9032, + "step": 18788 + }, + { + "epoch": 0.44, + "grad_norm": 1.4006231670554359, + "learning_rate": 1.2321912607880184e-05, + "loss": 0.8252, + "step": 18789 + }, + { + "epoch": 0.44, + "grad_norm": 1.7926907313917528, + "learning_rate": 1.2321170413859742e-05, + "loss": 0.9567, + "step": 18790 + }, + { + "epoch": 0.44, + "grad_norm": 2.1783538593844702, + "learning_rate": 1.2320428206324703e-05, + "loss": 1.0053, + "step": 18791 + }, + { + "epoch": 0.44, + "grad_norm": 1.576591990542889, + "learning_rate": 1.2319685985279406e-05, + "loss": 0.966, + "step": 18792 + }, + { + "epoch": 0.44, + "grad_norm": 1.611749442823432, + "learning_rate": 1.2318943750728157e-05, + "loss": 1.072, + "step": 18793 + }, + { + "epoch": 0.44, + "grad_norm": 1.7162434032426104, + "learning_rate": 1.2318201502675285e-05, + "loss": 0.8402, + "step": 18794 + }, + { + "epoch": 0.44, + "grad_norm": 1.7590631450835388, + "learning_rate": 1.231745924112511e-05, + "loss": 0.9605, + "step": 18795 + }, + { + "epoch": 0.44, + "grad_norm": 1.5214791441860862, + "learning_rate": 1.231671696608195e-05, + "loss": 0.8964, + "step": 18796 + }, + { + "epoch": 0.44, + "grad_norm": 1.7556854385396479, + "learning_rate": 1.2315974677550136e-05, + "loss": 0.9933, + "step": 18797 + }, + { + "epoch": 0.44, + "grad_norm": 2.5508875512199185, + "learning_rate": 1.231523237553398e-05, + "loss": 0.776, + "step": 18798 + }, + { + "epoch": 0.44, + "grad_norm": 7.591897575620431, + "learning_rate": 1.2314490060037812e-05, + "loss": 0.9182, + "step": 18799 + }, + { + "epoch": 0.44, + "grad_norm": 1.7705912904041259, + "learning_rate": 1.2313747731065947e-05, + "loss": 0.9102, + "step": 18800 + }, + { + "epoch": 0.44, + "grad_norm": 1.8317213125301408, + "learning_rate": 1.2313005388622712e-05, + "loss": 0.8042, + "step": 18801 + }, + { + "epoch": 0.44, + "grad_norm": 1.5985146549784346, + "learning_rate": 1.2312263032712425e-05, + "loss": 0.9429, + "step": 18802 + }, + { + "epoch": 0.44, + "grad_norm": 1.6542260544752139, + "learning_rate": 1.2311520663339411e-05, + "loss": 0.9628, + "step": 18803 + }, + { + "epoch": 0.44, + "grad_norm": 1.584687532312805, + "learning_rate": 1.2310778280507994e-05, + "loss": 0.7635, + "step": 18804 + }, + { + "epoch": 0.44, + "grad_norm": 1.8500577015934423, + "learning_rate": 1.2310035884222493e-05, + "loss": 0.9332, + "step": 18805 + }, + { + "epoch": 0.44, + "grad_norm": 1.564583026088539, + "learning_rate": 1.2309293474487232e-05, + "loss": 0.8556, + "step": 18806 + }, + { + "epoch": 0.44, + "grad_norm": 1.6008375550043548, + "learning_rate": 1.2308551051306533e-05, + "loss": 0.9155, + "step": 18807 + }, + { + "epoch": 0.44, + "grad_norm": 1.7311357734422639, + "learning_rate": 1.230780861468472e-05, + "loss": 0.9023, + "step": 18808 + }, + { + "epoch": 0.44, + "grad_norm": 1.752970143494864, + "learning_rate": 1.2307066164626113e-05, + "loss": 0.824, + "step": 18809 + }, + { + "epoch": 0.44, + "grad_norm": 0.7595045383038022, + "learning_rate": 1.2306323701135036e-05, + "loss": 0.7083, + "step": 18810 + }, + { + "epoch": 0.44, + "grad_norm": 1.6216228119623575, + "learning_rate": 1.2305581224215812e-05, + "loss": 0.9249, + "step": 18811 + }, + { + "epoch": 0.44, + "grad_norm": 1.775689525886216, + "learning_rate": 1.2304838733872768e-05, + "loss": 0.8123, + "step": 18812 + }, + { + "epoch": 0.44, + "grad_norm": 1.6641205096116747, + "learning_rate": 1.2304096230110219e-05, + "loss": 0.8516, + "step": 18813 + }, + { + "epoch": 0.44, + "grad_norm": 2.002427371319954, + "learning_rate": 1.2303353712932495e-05, + "loss": 0.9748, + "step": 18814 + }, + { + "epoch": 0.44, + "grad_norm": 4.479753566830966, + "learning_rate": 1.2302611182343915e-05, + "loss": 0.9163, + "step": 18815 + }, + { + "epoch": 0.44, + "grad_norm": 1.7561461918000876, + "learning_rate": 1.2301868638348805e-05, + "loss": 1.0358, + "step": 18816 + }, + { + "epoch": 0.44, + "grad_norm": 1.9604159585713294, + "learning_rate": 1.2301126080951484e-05, + "loss": 0.8071, + "step": 18817 + }, + { + "epoch": 0.44, + "grad_norm": 0.7663551401473169, + "learning_rate": 1.2300383510156284e-05, + "loss": 0.7178, + "step": 18818 + }, + { + "epoch": 0.44, + "grad_norm": 1.5467777795114848, + "learning_rate": 1.2299640925967518e-05, + "loss": 0.9408, + "step": 18819 + }, + { + "epoch": 0.44, + "grad_norm": 2.0945810309815283, + "learning_rate": 1.2298898328389517e-05, + "loss": 0.8256, + "step": 18820 + }, + { + "epoch": 0.44, + "grad_norm": 0.7615644689773086, + "learning_rate": 1.2298155717426598e-05, + "loss": 0.7185, + "step": 18821 + }, + { + "epoch": 0.44, + "grad_norm": 1.7152740771482438, + "learning_rate": 1.2297413093083094e-05, + "loss": 0.7863, + "step": 18822 + }, + { + "epoch": 0.44, + "grad_norm": 1.9813763288373687, + "learning_rate": 1.2296670455363322e-05, + "loss": 0.9726, + "step": 18823 + }, + { + "epoch": 0.44, + "grad_norm": 1.8266601833995093, + "learning_rate": 1.2295927804271606e-05, + "loss": 0.938, + "step": 18824 + }, + { + "epoch": 0.44, + "grad_norm": 1.8895373618731865, + "learning_rate": 1.2295185139812274e-05, + "loss": 0.9513, + "step": 18825 + }, + { + "epoch": 0.44, + "grad_norm": 1.459341460629806, + "learning_rate": 1.2294442461989644e-05, + "loss": 0.9584, + "step": 18826 + }, + { + "epoch": 0.44, + "grad_norm": 1.8608245522727376, + "learning_rate": 1.2293699770808047e-05, + "loss": 0.8655, + "step": 18827 + }, + { + "epoch": 0.44, + "grad_norm": 1.788943297833864, + "learning_rate": 1.2292957066271802e-05, + "loss": 0.8511, + "step": 18828 + }, + { + "epoch": 0.44, + "grad_norm": 1.6203186897581032, + "learning_rate": 1.2292214348385235e-05, + "loss": 0.8504, + "step": 18829 + }, + { + "epoch": 0.44, + "grad_norm": 1.7408899050013416, + "learning_rate": 1.229147161715267e-05, + "loss": 0.9063, + "step": 18830 + }, + { + "epoch": 0.44, + "grad_norm": 0.753664958923447, + "learning_rate": 1.2290728872578432e-05, + "loss": 0.6938, + "step": 18831 + }, + { + "epoch": 0.44, + "grad_norm": 1.6746110686747877, + "learning_rate": 1.2289986114666847e-05, + "loss": 0.7952, + "step": 18832 + }, + { + "epoch": 0.44, + "grad_norm": 1.8493443619459837, + "learning_rate": 1.2289243343422234e-05, + "loss": 0.9502, + "step": 18833 + }, + { + "epoch": 0.44, + "grad_norm": 1.6773916574888208, + "learning_rate": 1.2288500558848926e-05, + "loss": 0.9369, + "step": 18834 + }, + { + "epoch": 0.44, + "grad_norm": 1.896697073358042, + "learning_rate": 1.228775776095124e-05, + "loss": 0.8815, + "step": 18835 + }, + { + "epoch": 0.44, + "grad_norm": 1.8759252051194888, + "learning_rate": 1.2287014949733506e-05, + "loss": 0.8389, + "step": 18836 + }, + { + "epoch": 0.44, + "grad_norm": 1.751305535755409, + "learning_rate": 1.2286272125200048e-05, + "loss": 0.8934, + "step": 18837 + }, + { + "epoch": 0.44, + "grad_norm": 1.6357272379996264, + "learning_rate": 1.2285529287355188e-05, + "loss": 0.8247, + "step": 18838 + }, + { + "epoch": 0.44, + "grad_norm": 2.733224380965276, + "learning_rate": 1.2284786436203253e-05, + "loss": 0.8194, + "step": 18839 + }, + { + "epoch": 0.44, + "grad_norm": 1.7093850610559969, + "learning_rate": 1.2284043571748565e-05, + "loss": 0.8798, + "step": 18840 + }, + { + "epoch": 0.44, + "grad_norm": 2.183326472879425, + "learning_rate": 1.2283300693995459e-05, + "loss": 0.9764, + "step": 18841 + }, + { + "epoch": 0.44, + "grad_norm": 1.9586873686283306, + "learning_rate": 1.2282557802948247e-05, + "loss": 1.0051, + "step": 18842 + }, + { + "epoch": 0.44, + "grad_norm": 1.8319852766402478, + "learning_rate": 1.2281814898611267e-05, + "loss": 0.8702, + "step": 18843 + }, + { + "epoch": 0.44, + "grad_norm": 2.3107954628010403, + "learning_rate": 1.2281071980988832e-05, + "loss": 1.0663, + "step": 18844 + }, + { + "epoch": 0.44, + "grad_norm": 1.7227081100922335, + "learning_rate": 1.2280329050085276e-05, + "loss": 0.9352, + "step": 18845 + }, + { + "epoch": 0.44, + "grad_norm": 0.7330414488368723, + "learning_rate": 1.2279586105904924e-05, + "loss": 0.6768, + "step": 18846 + }, + { + "epoch": 0.44, + "grad_norm": 1.9156287188594994, + "learning_rate": 1.2278843148452095e-05, + "loss": 1.0522, + "step": 18847 + }, + { + "epoch": 0.44, + "grad_norm": 0.847709634098031, + "learning_rate": 1.2278100177731128e-05, + "loss": 0.8352, + "step": 18848 + }, + { + "epoch": 0.44, + "grad_norm": 1.948398273831439, + "learning_rate": 1.2277357193746333e-05, + "loss": 0.6789, + "step": 18849 + }, + { + "epoch": 0.44, + "grad_norm": 1.6007558882670936, + "learning_rate": 1.2276614196502047e-05, + "loss": 0.9558, + "step": 18850 + }, + { + "epoch": 0.44, + "grad_norm": 1.5217444530566218, + "learning_rate": 1.2275871186002592e-05, + "loss": 0.8499, + "step": 18851 + }, + { + "epoch": 0.44, + "grad_norm": 1.6316477770822129, + "learning_rate": 1.2275128162252297e-05, + "loss": 0.8228, + "step": 18852 + }, + { + "epoch": 0.44, + "grad_norm": 1.5568415193262657, + "learning_rate": 1.2274385125255481e-05, + "loss": 0.9426, + "step": 18853 + }, + { + "epoch": 0.44, + "grad_norm": 1.514841524142983, + "learning_rate": 1.2273642075016476e-05, + "loss": 0.8539, + "step": 18854 + }, + { + "epoch": 0.44, + "grad_norm": 1.7726132977303182, + "learning_rate": 1.2272899011539607e-05, + "loss": 0.8947, + "step": 18855 + }, + { + "epoch": 0.44, + "grad_norm": 1.558920583010346, + "learning_rate": 1.2272155934829203e-05, + "loss": 1.0026, + "step": 18856 + }, + { + "epoch": 0.44, + "grad_norm": 1.650368340277607, + "learning_rate": 1.2271412844889585e-05, + "loss": 0.9117, + "step": 18857 + }, + { + "epoch": 0.44, + "grad_norm": 1.5976510067500467, + "learning_rate": 1.2270669741725083e-05, + "loss": 0.9547, + "step": 18858 + }, + { + "epoch": 0.44, + "grad_norm": 1.6882194196685814, + "learning_rate": 1.2269926625340022e-05, + "loss": 0.912, + "step": 18859 + }, + { + "epoch": 0.44, + "grad_norm": 1.355704207382237, + "learning_rate": 1.226918349573873e-05, + "loss": 0.7959, + "step": 18860 + }, + { + "epoch": 0.44, + "grad_norm": 1.7995795835485113, + "learning_rate": 1.2268440352925534e-05, + "loss": 0.7129, + "step": 18861 + }, + { + "epoch": 0.44, + "grad_norm": 1.554960243609933, + "learning_rate": 1.226769719690476e-05, + "loss": 0.8589, + "step": 18862 + }, + { + "epoch": 0.44, + "grad_norm": 0.8290192203687623, + "learning_rate": 1.2266954027680736e-05, + "loss": 0.6744, + "step": 18863 + }, + { + "epoch": 0.44, + "grad_norm": 1.7470287695343942, + "learning_rate": 1.2266210845257787e-05, + "loss": 0.9847, + "step": 18864 + }, + { + "epoch": 0.44, + "grad_norm": 1.5212913245408846, + "learning_rate": 1.226546764964024e-05, + "loss": 0.9147, + "step": 18865 + }, + { + "epoch": 0.44, + "grad_norm": 1.8617849554129926, + "learning_rate": 1.2264724440832423e-05, + "loss": 0.7986, + "step": 18866 + }, + { + "epoch": 0.44, + "grad_norm": 1.7702773243685823, + "learning_rate": 1.2263981218838668e-05, + "loss": 0.9756, + "step": 18867 + }, + { + "epoch": 0.44, + "grad_norm": 1.3709462163637673, + "learning_rate": 1.226323798366329e-05, + "loss": 0.9345, + "step": 18868 + }, + { + "epoch": 0.44, + "grad_norm": 1.614017919694362, + "learning_rate": 1.226249473531063e-05, + "loss": 0.8981, + "step": 18869 + }, + { + "epoch": 0.44, + "grad_norm": 1.6389092344083815, + "learning_rate": 1.2261751473785004e-05, + "loss": 0.9503, + "step": 18870 + }, + { + "epoch": 0.44, + "grad_norm": 1.5287986527823032, + "learning_rate": 1.2261008199090751e-05, + "loss": 0.9882, + "step": 18871 + }, + { + "epoch": 0.44, + "grad_norm": 0.7591180145117696, + "learning_rate": 1.2260264911232187e-05, + "loss": 0.7218, + "step": 18872 + }, + { + "epoch": 0.44, + "grad_norm": 1.7793277672434467, + "learning_rate": 1.225952161021365e-05, + "loss": 0.8289, + "step": 18873 + }, + { + "epoch": 0.44, + "grad_norm": 1.7988521421462111, + "learning_rate": 1.225877829603946e-05, + "loss": 0.8896, + "step": 18874 + }, + { + "epoch": 0.44, + "grad_norm": 0.8322642902917805, + "learning_rate": 1.2258034968713948e-05, + "loss": 0.754, + "step": 18875 + }, + { + "epoch": 0.44, + "grad_norm": 0.8309195898760039, + "learning_rate": 1.2257291628241441e-05, + "loss": 0.7122, + "step": 18876 + }, + { + "epoch": 0.44, + "grad_norm": 1.7394808115594629, + "learning_rate": 1.2256548274626267e-05, + "loss": 0.8702, + "step": 18877 + }, + { + "epoch": 0.44, + "grad_norm": 1.5025383823762162, + "learning_rate": 1.2255804907872755e-05, + "loss": 0.8569, + "step": 18878 + }, + { + "epoch": 0.44, + "grad_norm": 1.980510028284554, + "learning_rate": 1.2255061527985235e-05, + "loss": 0.8748, + "step": 18879 + }, + { + "epoch": 0.44, + "grad_norm": 1.710338498015874, + "learning_rate": 1.2254318134968029e-05, + "loss": 0.7967, + "step": 18880 + }, + { + "epoch": 0.44, + "grad_norm": 1.759475440867496, + "learning_rate": 1.2253574728825472e-05, + "loss": 0.8582, + "step": 18881 + }, + { + "epoch": 0.44, + "grad_norm": 1.632255592427676, + "learning_rate": 1.2252831309561888e-05, + "loss": 0.9076, + "step": 18882 + }, + { + "epoch": 0.44, + "grad_norm": 0.7183644008531969, + "learning_rate": 1.2252087877181606e-05, + "loss": 0.6592, + "step": 18883 + }, + { + "epoch": 0.44, + "grad_norm": 2.3520355460579467, + "learning_rate": 1.2251344431688959e-05, + "loss": 0.9521, + "step": 18884 + }, + { + "epoch": 0.44, + "grad_norm": 1.5114100559447696, + "learning_rate": 1.225060097308827e-05, + "loss": 0.9679, + "step": 18885 + }, + { + "epoch": 0.44, + "grad_norm": 2.2853125713216267, + "learning_rate": 1.2249857501383869e-05, + "loss": 0.9902, + "step": 18886 + }, + { + "epoch": 0.44, + "grad_norm": 0.7885453322784315, + "learning_rate": 1.2249114016580083e-05, + "loss": 0.727, + "step": 18887 + }, + { + "epoch": 0.44, + "grad_norm": 1.8004842112416264, + "learning_rate": 1.224837051868125e-05, + "loss": 0.8709, + "step": 18888 + }, + { + "epoch": 0.45, + "grad_norm": 1.8426766684767222, + "learning_rate": 1.2247627007691684e-05, + "loss": 0.8567, + "step": 18889 + }, + { + "epoch": 0.45, + "grad_norm": 1.58407880931381, + "learning_rate": 1.2246883483615731e-05, + "loss": 0.9725, + "step": 18890 + }, + { + "epoch": 0.45, + "grad_norm": 2.5116463221166714, + "learning_rate": 1.2246139946457703e-05, + "loss": 0.9301, + "step": 18891 + }, + { + "epoch": 0.45, + "grad_norm": 1.4891990471212895, + "learning_rate": 1.2245396396221938e-05, + "loss": 0.9649, + "step": 18892 + }, + { + "epoch": 0.45, + "grad_norm": 1.6138148435616853, + "learning_rate": 1.2244652832912766e-05, + "loss": 0.8561, + "step": 18893 + }, + { + "epoch": 0.45, + "grad_norm": 1.927681416013689, + "learning_rate": 1.2243909256534517e-05, + "loss": 0.8428, + "step": 18894 + }, + { + "epoch": 0.45, + "grad_norm": 2.276981945245245, + "learning_rate": 1.2243165667091517e-05, + "loss": 0.8354, + "step": 18895 + }, + { + "epoch": 0.45, + "grad_norm": 1.3730885247459719, + "learning_rate": 1.224242206458809e-05, + "loss": 0.8468, + "step": 18896 + }, + { + "epoch": 0.45, + "grad_norm": 0.7304485343029723, + "learning_rate": 1.224167844902858e-05, + "loss": 0.7299, + "step": 18897 + }, + { + "epoch": 0.45, + "grad_norm": 2.0073923701035756, + "learning_rate": 1.2240934820417303e-05, + "loss": 0.8206, + "step": 18898 + }, + { + "epoch": 0.45, + "grad_norm": 2.343640874157528, + "learning_rate": 1.2240191178758598e-05, + "loss": 0.9282, + "step": 18899 + }, + { + "epoch": 0.45, + "grad_norm": 1.6778152024156607, + "learning_rate": 1.2239447524056786e-05, + "loss": 0.8501, + "step": 18900 + }, + { + "epoch": 0.45, + "grad_norm": 1.4816341000692548, + "learning_rate": 1.2238703856316208e-05, + "loss": 0.8401, + "step": 18901 + }, + { + "epoch": 0.45, + "grad_norm": 1.543796679486251, + "learning_rate": 1.2237960175541184e-05, + "loss": 0.8393, + "step": 18902 + }, + { + "epoch": 0.45, + "grad_norm": 1.5522168571620332, + "learning_rate": 1.2237216481736047e-05, + "loss": 1.0454, + "step": 18903 + }, + { + "epoch": 0.45, + "grad_norm": 1.509382773722956, + "learning_rate": 1.2236472774905128e-05, + "loss": 0.8991, + "step": 18904 + }, + { + "epoch": 0.45, + "grad_norm": 1.5349551799763026, + "learning_rate": 1.2235729055052757e-05, + "loss": 0.9168, + "step": 18905 + }, + { + "epoch": 0.45, + "grad_norm": 1.73844012593542, + "learning_rate": 1.2234985322183262e-05, + "loss": 0.9383, + "step": 18906 + }, + { + "epoch": 0.45, + "grad_norm": 1.7402060397179455, + "learning_rate": 1.2234241576300974e-05, + "loss": 0.9457, + "step": 18907 + }, + { + "epoch": 0.45, + "grad_norm": 1.6314789305640325, + "learning_rate": 1.2233497817410226e-05, + "loss": 0.9292, + "step": 18908 + }, + { + "epoch": 0.45, + "grad_norm": 2.166096461578911, + "learning_rate": 1.2232754045515348e-05, + "loss": 0.7934, + "step": 18909 + }, + { + "epoch": 0.45, + "grad_norm": 1.5025447816326483, + "learning_rate": 1.2232010260620665e-05, + "loss": 0.7939, + "step": 18910 + }, + { + "epoch": 0.45, + "grad_norm": 1.638252688804098, + "learning_rate": 1.2231266462730514e-05, + "loss": 0.91, + "step": 18911 + }, + { + "epoch": 0.45, + "grad_norm": 1.575284148741023, + "learning_rate": 1.2230522651849224e-05, + "loss": 0.9058, + "step": 18912 + }, + { + "epoch": 0.45, + "grad_norm": 1.4664320565073155, + "learning_rate": 1.2229778827981122e-05, + "loss": 0.814, + "step": 18913 + }, + { + "epoch": 0.45, + "grad_norm": 1.84730550809867, + "learning_rate": 1.2229034991130544e-05, + "loss": 0.8546, + "step": 18914 + }, + { + "epoch": 0.45, + "grad_norm": 1.5752327301739237, + "learning_rate": 1.2228291141301818e-05, + "loss": 0.9334, + "step": 18915 + }, + { + "epoch": 0.45, + "grad_norm": 1.8666003611351614, + "learning_rate": 1.2227547278499276e-05, + "loss": 0.8425, + "step": 18916 + }, + { + "epoch": 0.45, + "grad_norm": 1.5380701252147233, + "learning_rate": 1.222680340272725e-05, + "loss": 0.9159, + "step": 18917 + }, + { + "epoch": 0.45, + "grad_norm": 1.745045685127159, + "learning_rate": 1.222605951399007e-05, + "loss": 0.8107, + "step": 18918 + }, + { + "epoch": 0.45, + "grad_norm": 1.6112556550678556, + "learning_rate": 1.2225315612292061e-05, + "loss": 0.9517, + "step": 18919 + }, + { + "epoch": 0.45, + "grad_norm": 1.4999114422683946, + "learning_rate": 1.2224571697637566e-05, + "loss": 0.8891, + "step": 18920 + }, + { + "epoch": 0.45, + "grad_norm": 1.621040191577132, + "learning_rate": 1.2223827770030907e-05, + "loss": 0.9317, + "step": 18921 + }, + { + "epoch": 0.45, + "grad_norm": 1.7040796203177533, + "learning_rate": 1.2223083829476421e-05, + "loss": 0.9028, + "step": 18922 + }, + { + "epoch": 0.45, + "grad_norm": 1.8407935868480967, + "learning_rate": 1.2222339875978435e-05, + "loss": 0.8262, + "step": 18923 + }, + { + "epoch": 0.45, + "grad_norm": 1.8698149999218288, + "learning_rate": 1.2221595909541283e-05, + "loss": 0.9652, + "step": 18924 + }, + { + "epoch": 0.45, + "grad_norm": 1.5909333376801855, + "learning_rate": 1.22208519301693e-05, + "loss": 0.9087, + "step": 18925 + }, + { + "epoch": 0.45, + "grad_norm": 0.7295450051176063, + "learning_rate": 1.222010793786681e-05, + "loss": 0.7184, + "step": 18926 + }, + { + "epoch": 0.45, + "grad_norm": 1.6437169657243254, + "learning_rate": 1.2219363932638148e-05, + "loss": 0.8207, + "step": 18927 + }, + { + "epoch": 0.45, + "grad_norm": 0.7298469903243836, + "learning_rate": 1.2218619914487648e-05, + "loss": 0.715, + "step": 18928 + }, + { + "epoch": 0.45, + "grad_norm": 2.1582726821084974, + "learning_rate": 1.2217875883419642e-05, + "loss": 0.8707, + "step": 18929 + }, + { + "epoch": 0.45, + "grad_norm": 0.758750391102662, + "learning_rate": 1.2217131839438457e-05, + "loss": 0.7452, + "step": 18930 + }, + { + "epoch": 0.45, + "grad_norm": 1.5290403026399473, + "learning_rate": 1.221638778254843e-05, + "loss": 0.8923, + "step": 18931 + }, + { + "epoch": 0.45, + "grad_norm": 1.5034255262089218, + "learning_rate": 1.2215643712753893e-05, + "loss": 0.8779, + "step": 18932 + }, + { + "epoch": 0.45, + "grad_norm": 1.5523205535025302, + "learning_rate": 1.2214899630059176e-05, + "loss": 0.7868, + "step": 18933 + }, + { + "epoch": 0.45, + "grad_norm": 1.7142540271825517, + "learning_rate": 1.2214155534468612e-05, + "loss": 0.9487, + "step": 18934 + }, + { + "epoch": 0.45, + "grad_norm": 2.542415678579918, + "learning_rate": 1.2213411425986533e-05, + "loss": 1.057, + "step": 18935 + }, + { + "epoch": 0.45, + "grad_norm": 0.794375414921963, + "learning_rate": 1.2212667304617272e-05, + "loss": 0.7678, + "step": 18936 + }, + { + "epoch": 0.45, + "grad_norm": 0.7709019998871187, + "learning_rate": 1.2211923170365163e-05, + "loss": 0.8122, + "step": 18937 + }, + { + "epoch": 0.45, + "grad_norm": 1.7078118801811113, + "learning_rate": 1.2211179023234534e-05, + "loss": 0.7452, + "step": 18938 + }, + { + "epoch": 0.45, + "grad_norm": 1.8316045837569221, + "learning_rate": 1.2210434863229725e-05, + "loss": 1.041, + "step": 18939 + }, + { + "epoch": 0.45, + "grad_norm": 1.4949383857855734, + "learning_rate": 1.2209690690355061e-05, + "loss": 0.9121, + "step": 18940 + }, + { + "epoch": 0.45, + "grad_norm": 1.5754300637167111, + "learning_rate": 1.2208946504614878e-05, + "loss": 0.8525, + "step": 18941 + }, + { + "epoch": 0.45, + "grad_norm": 1.5942169114633231, + "learning_rate": 1.220820230601351e-05, + "loss": 1.021, + "step": 18942 + }, + { + "epoch": 0.45, + "grad_norm": 1.7867084604898702, + "learning_rate": 1.2207458094555289e-05, + "loss": 0.9763, + "step": 18943 + }, + { + "epoch": 0.45, + "grad_norm": 1.5970622503365919, + "learning_rate": 1.2206713870244549e-05, + "loss": 0.8672, + "step": 18944 + }, + { + "epoch": 0.45, + "grad_norm": 2.20252335929406, + "learning_rate": 1.2205969633085621e-05, + "loss": 0.8945, + "step": 18945 + }, + { + "epoch": 0.45, + "grad_norm": 1.8604752224932344, + "learning_rate": 1.2205225383082844e-05, + "loss": 0.7987, + "step": 18946 + }, + { + "epoch": 0.45, + "grad_norm": 1.728152606362565, + "learning_rate": 1.220448112024054e-05, + "loss": 0.9651, + "step": 18947 + }, + { + "epoch": 0.45, + "grad_norm": 1.675752260582192, + "learning_rate": 1.2203736844563055e-05, + "loss": 0.9623, + "step": 18948 + }, + { + "epoch": 0.45, + "grad_norm": 1.4804819077651565, + "learning_rate": 1.2202992556054709e-05, + "loss": 0.8379, + "step": 18949 + }, + { + "epoch": 0.45, + "grad_norm": 1.4948049296840242, + "learning_rate": 1.2202248254719849e-05, + "loss": 0.9039, + "step": 18950 + }, + { + "epoch": 0.45, + "grad_norm": 0.7701792483871404, + "learning_rate": 1.2201503940562798e-05, + "loss": 0.6839, + "step": 18951 + }, + { + "epoch": 0.45, + "grad_norm": 1.5231935156711915, + "learning_rate": 1.22007596135879e-05, + "loss": 0.906, + "step": 18952 + }, + { + "epoch": 0.45, + "grad_norm": 1.6284967059762496, + "learning_rate": 1.220001527379948e-05, + "loss": 0.9587, + "step": 18953 + }, + { + "epoch": 0.45, + "grad_norm": 1.5028233168459515, + "learning_rate": 1.2199270921201873e-05, + "loss": 0.8926, + "step": 18954 + }, + { + "epoch": 0.45, + "grad_norm": 1.5414226807454132, + "learning_rate": 1.2198526555799415e-05, + "loss": 0.8953, + "step": 18955 + }, + { + "epoch": 0.45, + "grad_norm": 1.732699691779257, + "learning_rate": 1.219778217759644e-05, + "loss": 0.8358, + "step": 18956 + }, + { + "epoch": 0.45, + "grad_norm": 1.617495259779197, + "learning_rate": 1.2197037786597278e-05, + "loss": 0.8056, + "step": 18957 + }, + { + "epoch": 0.45, + "grad_norm": 1.8845386248910005, + "learning_rate": 1.219629338280627e-05, + "loss": 0.8747, + "step": 18958 + }, + { + "epoch": 0.45, + "grad_norm": 2.1166294383940274, + "learning_rate": 1.2195548966227749e-05, + "loss": 0.8617, + "step": 18959 + }, + { + "epoch": 0.45, + "grad_norm": 2.2625064344758785, + "learning_rate": 1.2194804536866043e-05, + "loss": 0.919, + "step": 18960 + }, + { + "epoch": 0.45, + "grad_norm": 1.9243641225265649, + "learning_rate": 1.219406009472549e-05, + "loss": 0.9423, + "step": 18961 + }, + { + "epoch": 0.45, + "grad_norm": 1.7563886832203743, + "learning_rate": 1.2193315639810426e-05, + "loss": 0.9682, + "step": 18962 + }, + { + "epoch": 0.45, + "grad_norm": 1.5770495266353968, + "learning_rate": 1.2192571172125182e-05, + "loss": 0.8672, + "step": 18963 + }, + { + "epoch": 0.45, + "grad_norm": 1.6672066313584164, + "learning_rate": 1.2191826691674096e-05, + "loss": 0.7751, + "step": 18964 + }, + { + "epoch": 0.45, + "grad_norm": 1.9854115254503255, + "learning_rate": 1.2191082198461502e-05, + "loss": 0.9696, + "step": 18965 + }, + { + "epoch": 0.45, + "grad_norm": 1.769327091426161, + "learning_rate": 1.2190337692491732e-05, + "loss": 0.8372, + "step": 18966 + }, + { + "epoch": 0.45, + "grad_norm": 1.8284962108606604, + "learning_rate": 1.2189593173769126e-05, + "loss": 0.8701, + "step": 18967 + }, + { + "epoch": 0.45, + "grad_norm": 1.8245995381807167, + "learning_rate": 1.218884864229801e-05, + "loss": 0.8581, + "step": 18968 + }, + { + "epoch": 0.45, + "grad_norm": 1.6329301164577315, + "learning_rate": 1.218810409808273e-05, + "loss": 0.9022, + "step": 18969 + }, + { + "epoch": 0.45, + "grad_norm": 1.6968968665955455, + "learning_rate": 1.2187359541127607e-05, + "loss": 0.8265, + "step": 18970 + }, + { + "epoch": 0.45, + "grad_norm": 1.7862202613881053, + "learning_rate": 1.2186614971436992e-05, + "loss": 0.8743, + "step": 18971 + }, + { + "epoch": 0.45, + "grad_norm": 1.7752305689701162, + "learning_rate": 1.2185870389015208e-05, + "loss": 0.8163, + "step": 18972 + }, + { + "epoch": 0.45, + "grad_norm": 1.791583510180377, + "learning_rate": 1.21851257938666e-05, + "loss": 0.9493, + "step": 18973 + }, + { + "epoch": 0.45, + "grad_norm": 1.529541640365272, + "learning_rate": 1.2184381185995494e-05, + "loss": 0.9484, + "step": 18974 + }, + { + "epoch": 0.45, + "grad_norm": 0.8077534132556344, + "learning_rate": 1.2183636565406227e-05, + "loss": 0.7807, + "step": 18975 + }, + { + "epoch": 0.45, + "grad_norm": 1.883257982712497, + "learning_rate": 1.2182891932103138e-05, + "loss": 0.7857, + "step": 18976 + }, + { + "epoch": 0.45, + "grad_norm": 0.8661862780287509, + "learning_rate": 1.2182147286090562e-05, + "loss": 0.7175, + "step": 18977 + }, + { + "epoch": 0.45, + "grad_norm": 0.8148517488254915, + "learning_rate": 1.2181402627372834e-05, + "loss": 0.7959, + "step": 18978 + }, + { + "epoch": 0.45, + "grad_norm": 1.863229246580306, + "learning_rate": 1.2180657955954287e-05, + "loss": 0.8497, + "step": 18979 + }, + { + "epoch": 0.45, + "grad_norm": 1.8209304481120805, + "learning_rate": 1.2179913271839264e-05, + "loss": 0.8547, + "step": 18980 + }, + { + "epoch": 0.45, + "grad_norm": 1.74432738268484, + "learning_rate": 1.2179168575032088e-05, + "loss": 0.9543, + "step": 18981 + }, + { + "epoch": 0.45, + "grad_norm": 0.7208973054424329, + "learning_rate": 1.217842386553711e-05, + "loss": 0.6579, + "step": 18982 + }, + { + "epoch": 0.45, + "grad_norm": 1.9364310782761844, + "learning_rate": 1.2177679143358655e-05, + "loss": 0.8513, + "step": 18983 + }, + { + "epoch": 0.45, + "grad_norm": 1.704729823002368, + "learning_rate": 1.2176934408501065e-05, + "loss": 0.8401, + "step": 18984 + }, + { + "epoch": 0.45, + "grad_norm": 1.7324841809935863, + "learning_rate": 1.2176189660968671e-05, + "loss": 0.8926, + "step": 18985 + }, + { + "epoch": 0.45, + "grad_norm": 1.6781768766050746, + "learning_rate": 1.2175444900765811e-05, + "loss": 0.8323, + "step": 18986 + }, + { + "epoch": 0.45, + "grad_norm": 1.6215586137423224, + "learning_rate": 1.2174700127896826e-05, + "loss": 0.8487, + "step": 18987 + }, + { + "epoch": 0.45, + "grad_norm": 1.7173189277029013, + "learning_rate": 1.2173955342366046e-05, + "loss": 0.9751, + "step": 18988 + }, + { + "epoch": 0.45, + "grad_norm": 2.320182321484822, + "learning_rate": 1.2173210544177809e-05, + "loss": 0.8849, + "step": 18989 + }, + { + "epoch": 0.45, + "grad_norm": 1.6455622342665381, + "learning_rate": 1.2172465733336453e-05, + "loss": 0.7325, + "step": 18990 + }, + { + "epoch": 0.45, + "grad_norm": 1.8091265041661, + "learning_rate": 1.2171720909846314e-05, + "loss": 0.7924, + "step": 18991 + }, + { + "epoch": 0.45, + "grad_norm": 1.4386116914961635, + "learning_rate": 1.217097607371173e-05, + "loss": 0.8523, + "step": 18992 + }, + { + "epoch": 0.45, + "grad_norm": 2.156448708801944, + "learning_rate": 1.2170231224937032e-05, + "loss": 0.9707, + "step": 18993 + }, + { + "epoch": 0.45, + "grad_norm": 1.6266954193282468, + "learning_rate": 1.2169486363526564e-05, + "loss": 0.936, + "step": 18994 + }, + { + "epoch": 0.45, + "grad_norm": 1.781139140619632, + "learning_rate": 1.2168741489484656e-05, + "loss": 0.8222, + "step": 18995 + }, + { + "epoch": 0.45, + "grad_norm": 1.7032236879243763, + "learning_rate": 1.2167996602815652e-05, + "loss": 0.8512, + "step": 18996 + }, + { + "epoch": 0.45, + "grad_norm": 1.6345607915942417, + "learning_rate": 1.2167251703523886e-05, + "loss": 0.8405, + "step": 18997 + }, + { + "epoch": 0.45, + "grad_norm": 0.747649669763846, + "learning_rate": 1.216650679161369e-05, + "loss": 0.7556, + "step": 18998 + }, + { + "epoch": 0.45, + "grad_norm": 1.7278373910754175, + "learning_rate": 1.2165761867089411e-05, + "loss": 0.8945, + "step": 18999 + }, + { + "epoch": 0.45, + "grad_norm": 1.858432704342256, + "learning_rate": 1.2165016929955376e-05, + "loss": 0.8933, + "step": 19000 + }, + { + "epoch": 0.45, + "grad_norm": 1.7371040513206306, + "learning_rate": 1.2164271980215931e-05, + "loss": 0.7674, + "step": 19001 + }, + { + "epoch": 0.45, + "grad_norm": 1.816882550756993, + "learning_rate": 1.2163527017875406e-05, + "loss": 0.8773, + "step": 19002 + }, + { + "epoch": 0.45, + "grad_norm": 1.826732846945925, + "learning_rate": 1.2162782042938144e-05, + "loss": 0.7642, + "step": 19003 + }, + { + "epoch": 0.45, + "grad_norm": 1.694508622439773, + "learning_rate": 1.216203705540848e-05, + "loss": 0.6709, + "step": 19004 + }, + { + "epoch": 0.45, + "grad_norm": 2.306898114402665, + "learning_rate": 1.2161292055290751e-05, + "loss": 0.8747, + "step": 19005 + }, + { + "epoch": 0.45, + "grad_norm": 1.357791743213132, + "learning_rate": 1.2160547042589294e-05, + "loss": 0.9404, + "step": 19006 + }, + { + "epoch": 0.45, + "grad_norm": 1.562128005449672, + "learning_rate": 1.2159802017308451e-05, + "loss": 0.9517, + "step": 19007 + }, + { + "epoch": 0.45, + "grad_norm": 1.7559858451697976, + "learning_rate": 1.2159056979452555e-05, + "loss": 0.96, + "step": 19008 + }, + { + "epoch": 0.45, + "grad_norm": 1.3286717584064824, + "learning_rate": 1.2158311929025945e-05, + "loss": 0.7973, + "step": 19009 + }, + { + "epoch": 0.45, + "grad_norm": 1.5804886349876355, + "learning_rate": 1.215756686603296e-05, + "loss": 0.8867, + "step": 19010 + }, + { + "epoch": 0.45, + "grad_norm": 1.6023554110832157, + "learning_rate": 1.2156821790477939e-05, + "loss": 0.8099, + "step": 19011 + }, + { + "epoch": 0.45, + "grad_norm": 1.6514942657229261, + "learning_rate": 1.2156076702365219e-05, + "loss": 0.8183, + "step": 19012 + }, + { + "epoch": 0.45, + "grad_norm": 1.7457687348928697, + "learning_rate": 1.2155331601699136e-05, + "loss": 0.8197, + "step": 19013 + }, + { + "epoch": 0.45, + "grad_norm": 2.1555436793600693, + "learning_rate": 1.2154586488484033e-05, + "loss": 0.9315, + "step": 19014 + }, + { + "epoch": 0.45, + "grad_norm": 1.498416411052363, + "learning_rate": 1.2153841362724244e-05, + "loss": 0.8623, + "step": 19015 + }, + { + "epoch": 0.45, + "grad_norm": 2.995732697918877, + "learning_rate": 1.2153096224424106e-05, + "loss": 0.9346, + "step": 19016 + }, + { + "epoch": 0.45, + "grad_norm": 1.8061767228358905, + "learning_rate": 1.2152351073587963e-05, + "loss": 0.8775, + "step": 19017 + }, + { + "epoch": 0.45, + "grad_norm": 1.6118708172399547, + "learning_rate": 1.2151605910220153e-05, + "loss": 0.9049, + "step": 19018 + }, + { + "epoch": 0.45, + "grad_norm": 1.802468888681338, + "learning_rate": 1.2150860734325005e-05, + "loss": 0.9116, + "step": 19019 + }, + { + "epoch": 0.45, + "grad_norm": 1.5713985754578272, + "learning_rate": 1.2150115545906871e-05, + "loss": 0.7827, + "step": 19020 + }, + { + "epoch": 0.45, + "grad_norm": 0.7229199989384947, + "learning_rate": 1.2149370344970079e-05, + "loss": 0.6902, + "step": 19021 + }, + { + "epoch": 0.45, + "grad_norm": 1.8484899242063695, + "learning_rate": 1.2148625131518976e-05, + "loss": 0.8848, + "step": 19022 + }, + { + "epoch": 0.45, + "grad_norm": 1.778942440965516, + "learning_rate": 1.2147879905557896e-05, + "loss": 0.8102, + "step": 19023 + }, + { + "epoch": 0.45, + "grad_norm": 1.5559927836235439, + "learning_rate": 1.2147134667091181e-05, + "loss": 0.8662, + "step": 19024 + }, + { + "epoch": 0.45, + "grad_norm": 1.5688304518027294, + "learning_rate": 1.2146389416123166e-05, + "loss": 0.8512, + "step": 19025 + }, + { + "epoch": 0.45, + "grad_norm": 1.6608719567840429, + "learning_rate": 1.2145644152658191e-05, + "loss": 0.823, + "step": 19026 + }, + { + "epoch": 0.45, + "grad_norm": 0.6931002093907367, + "learning_rate": 1.2144898876700599e-05, + "loss": 0.7473, + "step": 19027 + }, + { + "epoch": 0.45, + "grad_norm": 1.4465543547625053, + "learning_rate": 1.2144153588254723e-05, + "loss": 0.9659, + "step": 19028 + }, + { + "epoch": 0.45, + "grad_norm": 1.5794575942635969, + "learning_rate": 1.2143408287324912e-05, + "loss": 0.9535, + "step": 19029 + }, + { + "epoch": 0.45, + "grad_norm": 1.573395375559583, + "learning_rate": 1.2142662973915494e-05, + "loss": 0.91, + "step": 19030 + }, + { + "epoch": 0.45, + "grad_norm": 1.7771517898837352, + "learning_rate": 1.214191764803082e-05, + "loss": 0.9202, + "step": 19031 + }, + { + "epoch": 0.45, + "grad_norm": 1.6142833292342595, + "learning_rate": 1.2141172309675218e-05, + "loss": 1.0282, + "step": 19032 + }, + { + "epoch": 0.45, + "grad_norm": 1.5135190160154801, + "learning_rate": 1.2140426958853034e-05, + "loss": 0.8198, + "step": 19033 + }, + { + "epoch": 0.45, + "grad_norm": 1.565576578858131, + "learning_rate": 1.2139681595568606e-05, + "loss": 0.8351, + "step": 19034 + }, + { + "epoch": 0.45, + "grad_norm": 1.7916259105778787, + "learning_rate": 1.2138936219826273e-05, + "loss": 0.9242, + "step": 19035 + }, + { + "epoch": 0.45, + "grad_norm": 1.7221422313160046, + "learning_rate": 1.2138190831630381e-05, + "loss": 0.9648, + "step": 19036 + }, + { + "epoch": 0.45, + "grad_norm": 1.7920378690706116, + "learning_rate": 1.2137445430985263e-05, + "loss": 0.8974, + "step": 19037 + }, + { + "epoch": 0.45, + "grad_norm": 1.5225789747235972, + "learning_rate": 1.213670001789526e-05, + "loss": 0.9093, + "step": 19038 + }, + { + "epoch": 0.45, + "grad_norm": 1.5833380016584668, + "learning_rate": 1.2135954592364712e-05, + "loss": 0.9065, + "step": 19039 + }, + { + "epoch": 0.45, + "grad_norm": 1.6269492299069332, + "learning_rate": 1.2135209154397962e-05, + "loss": 0.8649, + "step": 19040 + }, + { + "epoch": 0.45, + "grad_norm": 0.7426508102852568, + "learning_rate": 1.2134463703999346e-05, + "loss": 0.7137, + "step": 19041 + }, + { + "epoch": 0.45, + "grad_norm": 1.775090091041981, + "learning_rate": 1.2133718241173209e-05, + "loss": 0.7535, + "step": 19042 + }, + { + "epoch": 0.45, + "grad_norm": 1.8438948643767705, + "learning_rate": 1.213297276592389e-05, + "loss": 0.8756, + "step": 19043 + }, + { + "epoch": 0.45, + "grad_norm": 1.6075417487424712, + "learning_rate": 1.2132227278255727e-05, + "loss": 0.9977, + "step": 19044 + }, + { + "epoch": 0.45, + "grad_norm": 2.817350188302775, + "learning_rate": 1.213148177817306e-05, + "loss": 0.8141, + "step": 19045 + }, + { + "epoch": 0.45, + "grad_norm": 1.7872294566063491, + "learning_rate": 1.2130736265680231e-05, + "loss": 0.8771, + "step": 19046 + }, + { + "epoch": 0.45, + "grad_norm": 1.9678522965772367, + "learning_rate": 1.2129990740781583e-05, + "loss": 0.8916, + "step": 19047 + }, + { + "epoch": 0.45, + "grad_norm": 1.5487226982707725, + "learning_rate": 1.2129245203481457e-05, + "loss": 0.8845, + "step": 19048 + }, + { + "epoch": 0.45, + "grad_norm": 1.6482433855154908, + "learning_rate": 1.2128499653784184e-05, + "loss": 0.8731, + "step": 19049 + }, + { + "epoch": 0.45, + "grad_norm": 1.8509314952479994, + "learning_rate": 1.2127754091694119e-05, + "loss": 0.7985, + "step": 19050 + }, + { + "epoch": 0.45, + "grad_norm": 1.8986600370871547, + "learning_rate": 1.2127008517215593e-05, + "loss": 0.7975, + "step": 19051 + }, + { + "epoch": 0.45, + "grad_norm": 1.3746097474688497, + "learning_rate": 1.2126262930352953e-05, + "loss": 0.8047, + "step": 19052 + }, + { + "epoch": 0.45, + "grad_norm": 1.6348853336619944, + "learning_rate": 1.2125517331110532e-05, + "loss": 1.0022, + "step": 19053 + }, + { + "epoch": 0.45, + "grad_norm": 1.4467153634085683, + "learning_rate": 1.2124771719492681e-05, + "loss": 0.8798, + "step": 19054 + }, + { + "epoch": 0.45, + "grad_norm": 1.97091098652131, + "learning_rate": 1.2124026095503735e-05, + "loss": 0.9096, + "step": 19055 + }, + { + "epoch": 0.45, + "grad_norm": 1.4595836671048288, + "learning_rate": 1.2123280459148034e-05, + "loss": 0.849, + "step": 19056 + }, + { + "epoch": 0.45, + "grad_norm": 1.8213057092661384, + "learning_rate": 1.2122534810429922e-05, + "loss": 0.9349, + "step": 19057 + }, + { + "epoch": 0.45, + "grad_norm": 0.7568488667906523, + "learning_rate": 1.2121789149353745e-05, + "loss": 0.7675, + "step": 19058 + }, + { + "epoch": 0.45, + "grad_norm": 0.7933276476275699, + "learning_rate": 1.2121043475923834e-05, + "loss": 0.6805, + "step": 19059 + }, + { + "epoch": 0.45, + "grad_norm": 2.50298943064105, + "learning_rate": 1.2120297790144539e-05, + "loss": 0.9272, + "step": 19060 + }, + { + "epoch": 0.45, + "grad_norm": 1.7803686958598357, + "learning_rate": 1.21195520920202e-05, + "loss": 0.9251, + "step": 19061 + }, + { + "epoch": 0.45, + "grad_norm": 2.4900156591356146, + "learning_rate": 1.2118806381555157e-05, + "loss": 0.892, + "step": 19062 + }, + { + "epoch": 0.45, + "grad_norm": 1.4966323399138959, + "learning_rate": 1.2118060658753751e-05, + "loss": 0.9445, + "step": 19063 + }, + { + "epoch": 0.45, + "grad_norm": 1.6503346375838563, + "learning_rate": 1.2117314923620326e-05, + "loss": 0.8822, + "step": 19064 + }, + { + "epoch": 0.45, + "grad_norm": 2.3796679401133924, + "learning_rate": 1.2116569176159225e-05, + "loss": 0.82, + "step": 19065 + }, + { + "epoch": 0.45, + "grad_norm": 1.49070620605821, + "learning_rate": 1.2115823416374788e-05, + "loss": 0.7684, + "step": 19066 + }, + { + "epoch": 0.45, + "grad_norm": 1.6842882556541627, + "learning_rate": 1.2115077644271356e-05, + "loss": 0.9278, + "step": 19067 + }, + { + "epoch": 0.45, + "grad_norm": 1.4473746840582349, + "learning_rate": 1.2114331859853272e-05, + "loss": 1.026, + "step": 19068 + }, + { + "epoch": 0.45, + "grad_norm": 1.5255646400692098, + "learning_rate": 1.211358606312488e-05, + "loss": 0.9073, + "step": 19069 + }, + { + "epoch": 0.45, + "grad_norm": 1.7245515321267628, + "learning_rate": 1.2112840254090519e-05, + "loss": 0.8968, + "step": 19070 + }, + { + "epoch": 0.45, + "grad_norm": 1.9756792846096674, + "learning_rate": 1.2112094432754536e-05, + "loss": 0.9117, + "step": 19071 + }, + { + "epoch": 0.45, + "grad_norm": 1.4627425595692094, + "learning_rate": 1.2111348599121266e-05, + "loss": 0.9015, + "step": 19072 + }, + { + "epoch": 0.45, + "grad_norm": 0.8062149286345496, + "learning_rate": 1.211060275319506e-05, + "loss": 0.8147, + "step": 19073 + }, + { + "epoch": 0.45, + "grad_norm": 1.9079389243435072, + "learning_rate": 1.2109856894980254e-05, + "loss": 0.8556, + "step": 19074 + }, + { + "epoch": 0.45, + "grad_norm": 2.579394740452298, + "learning_rate": 1.2109111024481194e-05, + "loss": 0.8956, + "step": 19075 + }, + { + "epoch": 0.45, + "grad_norm": 1.876616059262878, + "learning_rate": 1.2108365141702224e-05, + "loss": 0.8761, + "step": 19076 + }, + { + "epoch": 0.45, + "grad_norm": 3.4500863248328475, + "learning_rate": 1.2107619246647679e-05, + "loss": 0.9245, + "step": 19077 + }, + { + "epoch": 0.45, + "grad_norm": 1.5676410862591978, + "learning_rate": 1.2106873339321914e-05, + "loss": 0.9297, + "step": 19078 + }, + { + "epoch": 0.45, + "grad_norm": 0.7528731664530767, + "learning_rate": 1.210612741972926e-05, + "loss": 0.7107, + "step": 19079 + }, + { + "epoch": 0.45, + "grad_norm": 1.416453844973421, + "learning_rate": 1.210538148787407e-05, + "loss": 0.8163, + "step": 19080 + }, + { + "epoch": 0.45, + "grad_norm": 1.7191592411010286, + "learning_rate": 1.210463554376068e-05, + "loss": 0.9019, + "step": 19081 + }, + { + "epoch": 0.45, + "grad_norm": 1.7321945275641242, + "learning_rate": 1.2103889587393437e-05, + "loss": 0.8611, + "step": 19082 + }, + { + "epoch": 0.45, + "grad_norm": 1.5597322685160244, + "learning_rate": 1.2103143618776682e-05, + "loss": 0.9299, + "step": 19083 + }, + { + "epoch": 0.45, + "grad_norm": 1.6111749566495586, + "learning_rate": 1.2102397637914758e-05, + "loss": 0.9134, + "step": 19084 + }, + { + "epoch": 0.45, + "grad_norm": 1.797964727438082, + "learning_rate": 1.210165164481201e-05, + "loss": 0.7861, + "step": 19085 + }, + { + "epoch": 0.45, + "grad_norm": 1.822031478743889, + "learning_rate": 1.210090563947278e-05, + "loss": 0.7943, + "step": 19086 + }, + { + "epoch": 0.45, + "grad_norm": 1.6079020293452067, + "learning_rate": 1.2100159621901413e-05, + "loss": 0.899, + "step": 19087 + }, + { + "epoch": 0.45, + "grad_norm": 0.8620651323522791, + "learning_rate": 1.2099413592102255e-05, + "loss": 0.7481, + "step": 19088 + }, + { + "epoch": 0.45, + "grad_norm": 0.8159372288308664, + "learning_rate": 1.2098667550079642e-05, + "loss": 0.7681, + "step": 19089 + }, + { + "epoch": 0.45, + "grad_norm": 1.787071029308371, + "learning_rate": 1.2097921495837923e-05, + "loss": 0.9444, + "step": 19090 + }, + { + "epoch": 0.45, + "grad_norm": 1.9501513389387148, + "learning_rate": 1.209717542938144e-05, + "loss": 0.9743, + "step": 19091 + }, + { + "epoch": 0.45, + "grad_norm": 1.6320767621418228, + "learning_rate": 1.2096429350714538e-05, + "loss": 0.8258, + "step": 19092 + }, + { + "epoch": 0.45, + "grad_norm": 1.6005490764940478, + "learning_rate": 1.2095683259841562e-05, + "loss": 0.8531, + "step": 19093 + }, + { + "epoch": 0.45, + "grad_norm": 0.7285413163461134, + "learning_rate": 1.2094937156766855e-05, + "loss": 0.6985, + "step": 19094 + }, + { + "epoch": 0.45, + "grad_norm": 1.5299553865667193, + "learning_rate": 1.2094191041494759e-05, + "loss": 0.9059, + "step": 19095 + }, + { + "epoch": 0.45, + "grad_norm": 1.660979416718578, + "learning_rate": 1.2093444914029622e-05, + "loss": 0.9716, + "step": 19096 + }, + { + "epoch": 0.45, + "grad_norm": 1.7006406518176092, + "learning_rate": 1.2092698774375786e-05, + "loss": 0.8792, + "step": 19097 + }, + { + "epoch": 0.45, + "grad_norm": 1.4906870101377232, + "learning_rate": 1.209195262253759e-05, + "loss": 0.8705, + "step": 19098 + }, + { + "epoch": 0.45, + "grad_norm": 1.6065488455840389, + "learning_rate": 1.2091206458519389e-05, + "loss": 0.8994, + "step": 19099 + }, + { + "epoch": 0.45, + "grad_norm": 1.6044306160265676, + "learning_rate": 1.2090460282325518e-05, + "loss": 0.8716, + "step": 19100 + }, + { + "epoch": 0.45, + "grad_norm": 1.7499197738349286, + "learning_rate": 1.208971409396033e-05, + "loss": 0.9022, + "step": 19101 + }, + { + "epoch": 0.45, + "grad_norm": 1.5114527186669502, + "learning_rate": 1.2088967893428161e-05, + "loss": 0.6929, + "step": 19102 + }, + { + "epoch": 0.45, + "grad_norm": 1.8147523587579628, + "learning_rate": 1.2088221680733362e-05, + "loss": 0.8778, + "step": 19103 + }, + { + "epoch": 0.45, + "grad_norm": 1.5335100655426954, + "learning_rate": 1.2087475455880272e-05, + "loss": 0.9031, + "step": 19104 + }, + { + "epoch": 0.45, + "grad_norm": 2.388623051486047, + "learning_rate": 1.2086729218873242e-05, + "loss": 0.9897, + "step": 19105 + }, + { + "epoch": 0.45, + "grad_norm": 1.8222852266773766, + "learning_rate": 1.2085982969716615e-05, + "loss": 0.832, + "step": 19106 + }, + { + "epoch": 0.45, + "grad_norm": 1.7842255627163583, + "learning_rate": 1.208523670841473e-05, + "loss": 0.9772, + "step": 19107 + }, + { + "epoch": 0.45, + "grad_norm": 1.6349559345087359, + "learning_rate": 1.2084490434971942e-05, + "loss": 0.9397, + "step": 19108 + }, + { + "epoch": 0.45, + "grad_norm": 1.6876136697832564, + "learning_rate": 1.2083744149392586e-05, + "loss": 0.906, + "step": 19109 + }, + { + "epoch": 0.45, + "grad_norm": 1.7558440825960122, + "learning_rate": 1.2082997851681015e-05, + "loss": 0.827, + "step": 19110 + }, + { + "epoch": 0.45, + "grad_norm": 1.4651105872145742, + "learning_rate": 1.2082251541841573e-05, + "loss": 0.8428, + "step": 19111 + }, + { + "epoch": 0.45, + "grad_norm": 1.5137949978452792, + "learning_rate": 1.2081505219878597e-05, + "loss": 0.7988, + "step": 19112 + }, + { + "epoch": 0.45, + "grad_norm": 1.750256809422099, + "learning_rate": 1.2080758885796444e-05, + "loss": 0.8319, + "step": 19113 + }, + { + "epoch": 0.45, + "grad_norm": 1.627888526754419, + "learning_rate": 1.208001253959945e-05, + "loss": 0.8153, + "step": 19114 + }, + { + "epoch": 0.45, + "grad_norm": 1.8412250833305837, + "learning_rate": 1.207926618129197e-05, + "loss": 0.8517, + "step": 19115 + }, + { + "epoch": 0.45, + "grad_norm": 2.2367658482668777, + "learning_rate": 1.207851981087834e-05, + "loss": 0.8383, + "step": 19116 + }, + { + "epoch": 0.45, + "grad_norm": 1.8492794537085508, + "learning_rate": 1.2077773428362909e-05, + "loss": 0.8476, + "step": 19117 + }, + { + "epoch": 0.45, + "grad_norm": 1.7148414492455908, + "learning_rate": 1.2077027033750025e-05, + "loss": 0.9625, + "step": 19118 + }, + { + "epoch": 0.45, + "grad_norm": 1.60167463707066, + "learning_rate": 1.207628062704403e-05, + "loss": 0.9048, + "step": 19119 + }, + { + "epoch": 0.45, + "grad_norm": 1.4843986117216708, + "learning_rate": 1.2075534208249275e-05, + "loss": 0.8582, + "step": 19120 + }, + { + "epoch": 0.45, + "grad_norm": 1.9779595391042328, + "learning_rate": 1.2074787777370101e-05, + "loss": 0.874, + "step": 19121 + }, + { + "epoch": 0.45, + "grad_norm": 1.6544981792694622, + "learning_rate": 1.2074041334410858e-05, + "loss": 0.9036, + "step": 19122 + }, + { + "epoch": 0.45, + "grad_norm": 1.6624391836138381, + "learning_rate": 1.2073294879375883e-05, + "loss": 0.8895, + "step": 19123 + }, + { + "epoch": 0.45, + "grad_norm": 1.664121868455207, + "learning_rate": 1.2072548412269536e-05, + "loss": 0.9333, + "step": 19124 + }, + { + "epoch": 0.45, + "grad_norm": 1.5515354231315914, + "learning_rate": 1.2071801933096153e-05, + "loss": 0.9735, + "step": 19125 + }, + { + "epoch": 0.45, + "grad_norm": 1.5195399265498202, + "learning_rate": 1.2071055441860082e-05, + "loss": 0.9398, + "step": 19126 + }, + { + "epoch": 0.45, + "grad_norm": 1.6378351666060103, + "learning_rate": 1.2070308938565674e-05, + "loss": 0.87, + "step": 19127 + }, + { + "epoch": 0.45, + "grad_norm": 1.51757879394117, + "learning_rate": 1.2069562423217268e-05, + "loss": 0.8603, + "step": 19128 + }, + { + "epoch": 0.45, + "grad_norm": 1.5298313188276993, + "learning_rate": 1.2068815895819219e-05, + "loss": 0.9251, + "step": 19129 + }, + { + "epoch": 0.45, + "grad_norm": 1.797694980690013, + "learning_rate": 1.2068069356375864e-05, + "loss": 0.8663, + "step": 19130 + }, + { + "epoch": 0.45, + "grad_norm": 0.802077175739465, + "learning_rate": 1.2067322804891556e-05, + "loss": 0.7537, + "step": 19131 + }, + { + "epoch": 0.45, + "grad_norm": 1.791073574385891, + "learning_rate": 1.206657624137064e-05, + "loss": 1.0286, + "step": 19132 + }, + { + "epoch": 0.45, + "grad_norm": 1.8469606853470912, + "learning_rate": 1.2065829665817465e-05, + "loss": 0.8765, + "step": 19133 + }, + { + "epoch": 0.45, + "grad_norm": 1.7464716828200113, + "learning_rate": 1.2065083078236375e-05, + "loss": 0.9739, + "step": 19134 + }, + { + "epoch": 0.45, + "grad_norm": 1.4613224251923593, + "learning_rate": 1.2064336478631717e-05, + "loss": 1.0001, + "step": 19135 + }, + { + "epoch": 0.45, + "grad_norm": 1.4562490162160522, + "learning_rate": 1.2063589867007838e-05, + "loss": 0.8993, + "step": 19136 + }, + { + "epoch": 0.45, + "grad_norm": 1.5622033663711952, + "learning_rate": 1.2062843243369086e-05, + "loss": 0.877, + "step": 19137 + }, + { + "epoch": 0.45, + "grad_norm": 2.1336560186983125, + "learning_rate": 1.2062096607719809e-05, + "loss": 0.8423, + "step": 19138 + }, + { + "epoch": 0.45, + "grad_norm": 2.5126354889247424, + "learning_rate": 1.206134996006435e-05, + "loss": 0.869, + "step": 19139 + }, + { + "epoch": 0.45, + "grad_norm": 1.787613071563001, + "learning_rate": 1.206060330040706e-05, + "loss": 0.7977, + "step": 19140 + }, + { + "epoch": 0.45, + "grad_norm": 1.6687379556018747, + "learning_rate": 1.2059856628752285e-05, + "loss": 0.9669, + "step": 19141 + }, + { + "epoch": 0.45, + "grad_norm": 1.7782222589941146, + "learning_rate": 1.2059109945104373e-05, + "loss": 0.8162, + "step": 19142 + }, + { + "epoch": 0.45, + "grad_norm": 1.827227260664717, + "learning_rate": 1.2058363249467671e-05, + "loss": 0.8001, + "step": 19143 + }, + { + "epoch": 0.45, + "grad_norm": 1.8291822563712963, + "learning_rate": 1.2057616541846526e-05, + "loss": 0.9157, + "step": 19144 + }, + { + "epoch": 0.45, + "grad_norm": 1.7179979833737973, + "learning_rate": 1.2056869822245285e-05, + "loss": 0.7847, + "step": 19145 + }, + { + "epoch": 0.45, + "grad_norm": 1.5413289917353705, + "learning_rate": 1.20561230906683e-05, + "loss": 0.8801, + "step": 19146 + }, + { + "epoch": 0.45, + "grad_norm": 1.8267172172066228, + "learning_rate": 1.2055376347119912e-05, + "loss": 0.8192, + "step": 19147 + }, + { + "epoch": 0.45, + "grad_norm": 1.578052189808301, + "learning_rate": 1.2054629591604474e-05, + "loss": 0.8535, + "step": 19148 + }, + { + "epoch": 0.45, + "grad_norm": 0.7216792881729662, + "learning_rate": 1.2053882824126331e-05, + "loss": 0.7331, + "step": 19149 + }, + { + "epoch": 0.45, + "grad_norm": 1.8834587203373396, + "learning_rate": 1.2053136044689834e-05, + "loss": 0.9262, + "step": 19150 + }, + { + "epoch": 0.45, + "grad_norm": 1.9226169577468053, + "learning_rate": 1.2052389253299326e-05, + "loss": 0.8532, + "step": 19151 + }, + { + "epoch": 0.45, + "grad_norm": 1.6151143372176722, + "learning_rate": 1.2051642449959162e-05, + "loss": 0.8636, + "step": 19152 + }, + { + "epoch": 0.45, + "grad_norm": 1.7758624670424432, + "learning_rate": 1.2050895634673681e-05, + "loss": 0.8482, + "step": 19153 + }, + { + "epoch": 0.45, + "grad_norm": 1.7773057723802113, + "learning_rate": 1.2050148807447242e-05, + "loss": 0.9411, + "step": 19154 + }, + { + "epoch": 0.45, + "grad_norm": 0.748109508066711, + "learning_rate": 1.2049401968284182e-05, + "loss": 0.7018, + "step": 19155 + }, + { + "epoch": 0.45, + "grad_norm": 2.0420327944636925, + "learning_rate": 1.2048655117188859e-05, + "loss": 0.9253, + "step": 19156 + }, + { + "epoch": 0.45, + "grad_norm": 0.7850479746632525, + "learning_rate": 1.2047908254165614e-05, + "loss": 0.7487, + "step": 19157 + }, + { + "epoch": 0.45, + "grad_norm": 1.7619013219072652, + "learning_rate": 1.20471613792188e-05, + "loss": 0.767, + "step": 19158 + }, + { + "epoch": 0.45, + "grad_norm": 1.6625077808170767, + "learning_rate": 1.2046414492352766e-05, + "loss": 0.9611, + "step": 19159 + }, + { + "epoch": 0.45, + "grad_norm": 1.917394864748979, + "learning_rate": 1.2045667593571858e-05, + "loss": 0.9758, + "step": 19160 + }, + { + "epoch": 0.45, + "grad_norm": 1.6735108335216355, + "learning_rate": 1.2044920682880425e-05, + "loss": 0.8901, + "step": 19161 + }, + { + "epoch": 0.45, + "grad_norm": 1.603814738838826, + "learning_rate": 1.2044173760282818e-05, + "loss": 0.8406, + "step": 19162 + }, + { + "epoch": 0.45, + "grad_norm": 2.3235144346169987, + "learning_rate": 1.2043426825783383e-05, + "loss": 0.834, + "step": 19163 + }, + { + "epoch": 0.45, + "grad_norm": 1.5461168157344274, + "learning_rate": 1.204267987938647e-05, + "loss": 0.8131, + "step": 19164 + }, + { + "epoch": 0.45, + "grad_norm": 2.25993264822294, + "learning_rate": 1.2041932921096427e-05, + "loss": 0.7371, + "step": 19165 + }, + { + "epoch": 0.45, + "grad_norm": 1.613829476935499, + "learning_rate": 1.2041185950917604e-05, + "loss": 0.7783, + "step": 19166 + }, + { + "epoch": 0.45, + "grad_norm": 2.8797981118414935, + "learning_rate": 1.2040438968854354e-05, + "loss": 0.8774, + "step": 19167 + }, + { + "epoch": 0.45, + "grad_norm": 1.5651656938188379, + "learning_rate": 1.2039691974911019e-05, + "loss": 0.8938, + "step": 19168 + }, + { + "epoch": 0.45, + "grad_norm": 2.344454193695088, + "learning_rate": 1.2038944969091953e-05, + "loss": 0.9285, + "step": 19169 + }, + { + "epoch": 0.45, + "grad_norm": 2.1480788255802006, + "learning_rate": 1.20381979514015e-05, + "loss": 0.9202, + "step": 19170 + }, + { + "epoch": 0.45, + "grad_norm": 1.545764256443997, + "learning_rate": 1.203745092184402e-05, + "loss": 0.8605, + "step": 19171 + }, + { + "epoch": 0.45, + "grad_norm": 1.7499030069510881, + "learning_rate": 1.203670388042385e-05, + "loss": 0.8689, + "step": 19172 + }, + { + "epoch": 0.45, + "grad_norm": 0.7792106550247315, + "learning_rate": 1.203595682714535e-05, + "loss": 0.7441, + "step": 19173 + }, + { + "epoch": 0.45, + "grad_norm": 1.8646184086754105, + "learning_rate": 1.2035209762012858e-05, + "loss": 0.9196, + "step": 19174 + }, + { + "epoch": 0.45, + "grad_norm": 0.7979958444746833, + "learning_rate": 1.2034462685030734e-05, + "loss": 0.7835, + "step": 19175 + }, + { + "epoch": 0.45, + "grad_norm": 1.9776530432378199, + "learning_rate": 1.2033715596203326e-05, + "loss": 0.9572, + "step": 19176 + }, + { + "epoch": 0.45, + "grad_norm": 1.6081571960633019, + "learning_rate": 1.203296849553498e-05, + "loss": 0.9506, + "step": 19177 + }, + { + "epoch": 0.45, + "grad_norm": 1.456565858212386, + "learning_rate": 1.203222138303005e-05, + "loss": 0.8261, + "step": 19178 + }, + { + "epoch": 0.45, + "grad_norm": 1.669412120389225, + "learning_rate": 1.2031474258692878e-05, + "loss": 0.8736, + "step": 19179 + }, + { + "epoch": 0.45, + "grad_norm": 1.901798459473018, + "learning_rate": 1.2030727122527828e-05, + "loss": 0.9, + "step": 19180 + }, + { + "epoch": 0.45, + "grad_norm": 1.6452072546116987, + "learning_rate": 1.2029979974539233e-05, + "loss": 0.8927, + "step": 19181 + }, + { + "epoch": 0.45, + "grad_norm": 1.7292989726601309, + "learning_rate": 1.202923281473146e-05, + "loss": 0.8909, + "step": 19182 + }, + { + "epoch": 0.45, + "grad_norm": 0.7258828542045924, + "learning_rate": 1.2028485643108848e-05, + "loss": 0.7199, + "step": 19183 + }, + { + "epoch": 0.45, + "grad_norm": 1.7618507093614435, + "learning_rate": 1.202773845967575e-05, + "loss": 0.9625, + "step": 19184 + }, + { + "epoch": 0.45, + "grad_norm": 1.7889768921472264, + "learning_rate": 1.2026991264436516e-05, + "loss": 0.912, + "step": 19185 + }, + { + "epoch": 0.45, + "grad_norm": 1.4923901722014443, + "learning_rate": 1.2026244057395497e-05, + "loss": 0.8901, + "step": 19186 + }, + { + "epoch": 0.45, + "grad_norm": 1.4341672657741094, + "learning_rate": 1.2025496838557045e-05, + "loss": 0.9514, + "step": 19187 + }, + { + "epoch": 0.45, + "grad_norm": 1.6580595561361462, + "learning_rate": 1.202474960792551e-05, + "loss": 0.8001, + "step": 19188 + }, + { + "epoch": 0.45, + "grad_norm": 1.5744084863288317, + "learning_rate": 1.2024002365505238e-05, + "loss": 0.8204, + "step": 19189 + }, + { + "epoch": 0.45, + "grad_norm": 0.724771427651878, + "learning_rate": 1.2023255111300587e-05, + "loss": 0.7168, + "step": 19190 + }, + { + "epoch": 0.45, + "grad_norm": 1.6445374564104125, + "learning_rate": 1.2022507845315903e-05, + "loss": 0.8711, + "step": 19191 + }, + { + "epoch": 0.45, + "grad_norm": 1.6072926830234795, + "learning_rate": 1.2021760567555539e-05, + "loss": 0.7755, + "step": 19192 + }, + { + "epoch": 0.45, + "grad_norm": 0.753857923792347, + "learning_rate": 1.2021013278023843e-05, + "loss": 0.7555, + "step": 19193 + }, + { + "epoch": 0.45, + "grad_norm": 3.2032479354553693, + "learning_rate": 1.2020265976725167e-05, + "loss": 0.8973, + "step": 19194 + }, + { + "epoch": 0.45, + "grad_norm": 2.2941553757351, + "learning_rate": 1.2019518663663865e-05, + "loss": 0.866, + "step": 19195 + }, + { + "epoch": 0.45, + "grad_norm": 2.0025274344993753, + "learning_rate": 1.2018771338844287e-05, + "loss": 0.8801, + "step": 19196 + }, + { + "epoch": 0.45, + "grad_norm": 1.680960060564954, + "learning_rate": 1.201802400227078e-05, + "loss": 0.9347, + "step": 19197 + }, + { + "epoch": 0.45, + "grad_norm": 1.9942437245929003, + "learning_rate": 1.2017276653947701e-05, + "loss": 0.915, + "step": 19198 + }, + { + "epoch": 0.45, + "grad_norm": 1.5990767959836436, + "learning_rate": 1.20165292938794e-05, + "loss": 0.9051, + "step": 19199 + }, + { + "epoch": 0.45, + "grad_norm": 1.620634001470352, + "learning_rate": 1.2015781922070223e-05, + "loss": 0.9464, + "step": 19200 + }, + { + "epoch": 0.45, + "grad_norm": 1.5564422087217176, + "learning_rate": 1.2015034538524528e-05, + "loss": 0.8951, + "step": 19201 + }, + { + "epoch": 0.45, + "grad_norm": 1.799706658491459, + "learning_rate": 1.2014287143246662e-05, + "loss": 0.7941, + "step": 19202 + }, + { + "epoch": 0.45, + "grad_norm": 0.7281099857365615, + "learning_rate": 1.201353973624098e-05, + "loss": 0.6794, + "step": 19203 + }, + { + "epoch": 0.45, + "grad_norm": 1.6806476378074673, + "learning_rate": 1.201279231751183e-05, + "loss": 0.967, + "step": 19204 + }, + { + "epoch": 0.45, + "grad_norm": 1.8639636535622495, + "learning_rate": 1.201204488706357e-05, + "loss": 0.8645, + "step": 19205 + }, + { + "epoch": 0.45, + "grad_norm": 1.6917357450584831, + "learning_rate": 1.2011297444900545e-05, + "loss": 0.8232, + "step": 19206 + }, + { + "epoch": 0.45, + "grad_norm": 1.4799788170849033, + "learning_rate": 1.2010549991027109e-05, + "loss": 0.8589, + "step": 19207 + }, + { + "epoch": 0.45, + "grad_norm": 1.8734944876386996, + "learning_rate": 1.2009802525447616e-05, + "loss": 0.9701, + "step": 19208 + }, + { + "epoch": 0.45, + "grad_norm": 1.5751574457276687, + "learning_rate": 1.2009055048166415e-05, + "loss": 0.8918, + "step": 19209 + }, + { + "epoch": 0.45, + "grad_norm": 2.7483385545166708, + "learning_rate": 1.2008307559187862e-05, + "loss": 0.8387, + "step": 19210 + }, + { + "epoch": 0.45, + "grad_norm": 1.901926961884558, + "learning_rate": 1.2007560058516301e-05, + "loss": 0.9052, + "step": 19211 + }, + { + "epoch": 0.45, + "grad_norm": 2.14490644439126, + "learning_rate": 1.2006812546156097e-05, + "loss": 1.0235, + "step": 19212 + }, + { + "epoch": 0.45, + "grad_norm": 1.5111045915934875, + "learning_rate": 1.2006065022111591e-05, + "loss": 0.9461, + "step": 19213 + }, + { + "epoch": 0.45, + "grad_norm": 1.8083600570162663, + "learning_rate": 1.200531748638714e-05, + "loss": 0.836, + "step": 19214 + }, + { + "epoch": 0.45, + "grad_norm": 1.4791761097271146, + "learning_rate": 1.2004569938987093e-05, + "loss": 0.8702, + "step": 19215 + }, + { + "epoch": 0.45, + "grad_norm": 2.0645754315601637, + "learning_rate": 1.200382237991581e-05, + "loss": 0.7622, + "step": 19216 + }, + { + "epoch": 0.45, + "grad_norm": 1.6570219705909794, + "learning_rate": 1.2003074809177635e-05, + "loss": 0.8836, + "step": 19217 + }, + { + "epoch": 0.45, + "grad_norm": 1.6885702093316546, + "learning_rate": 1.2002327226776926e-05, + "loss": 0.7664, + "step": 19218 + }, + { + "epoch": 0.45, + "grad_norm": 1.4967354849627068, + "learning_rate": 1.2001579632718034e-05, + "loss": 0.8876, + "step": 19219 + }, + { + "epoch": 0.45, + "grad_norm": 2.148863081260056, + "learning_rate": 1.2000832027005314e-05, + "loss": 0.8423, + "step": 19220 + }, + { + "epoch": 0.45, + "grad_norm": 1.8167523046918537, + "learning_rate": 1.200008440964311e-05, + "loss": 0.8905, + "step": 19221 + }, + { + "epoch": 0.45, + "grad_norm": 0.8325245720572299, + "learning_rate": 1.1999336780635788e-05, + "loss": 0.6952, + "step": 19222 + }, + { + "epoch": 0.45, + "grad_norm": 1.941572090112453, + "learning_rate": 1.199858913998769e-05, + "loss": 0.7779, + "step": 19223 + }, + { + "epoch": 0.45, + "grad_norm": 1.7170744613443505, + "learning_rate": 1.1997841487703175e-05, + "loss": 0.8213, + "step": 19224 + }, + { + "epoch": 0.45, + "grad_norm": 1.807565366459705, + "learning_rate": 1.1997093823786594e-05, + "loss": 1.0354, + "step": 19225 + }, + { + "epoch": 0.45, + "grad_norm": 0.7561226248597402, + "learning_rate": 1.1996346148242299e-05, + "loss": 0.7217, + "step": 19226 + }, + { + "epoch": 0.45, + "grad_norm": 4.170855244605141, + "learning_rate": 1.1995598461074647e-05, + "loss": 0.874, + "step": 19227 + }, + { + "epoch": 0.45, + "grad_norm": 1.4469699268969578, + "learning_rate": 1.1994850762287988e-05, + "loss": 0.8112, + "step": 19228 + }, + { + "epoch": 0.45, + "grad_norm": 1.828609080987825, + "learning_rate": 1.199410305188668e-05, + "loss": 0.965, + "step": 19229 + }, + { + "epoch": 0.45, + "grad_norm": 0.7478083770824262, + "learning_rate": 1.1993355329875067e-05, + "loss": 0.6835, + "step": 19230 + }, + { + "epoch": 0.45, + "grad_norm": 1.6636032181950633, + "learning_rate": 1.1992607596257513e-05, + "loss": 0.9184, + "step": 19231 + }, + { + "epoch": 0.45, + "grad_norm": 1.496129909137086, + "learning_rate": 1.1991859851038362e-05, + "loss": 0.75, + "step": 19232 + }, + { + "epoch": 0.45, + "grad_norm": 1.5048246027777408, + "learning_rate": 1.1991112094221975e-05, + "loss": 0.8418, + "step": 19233 + }, + { + "epoch": 0.45, + "grad_norm": 1.9793011193684478, + "learning_rate": 1.19903643258127e-05, + "loss": 0.8073, + "step": 19234 + }, + { + "epoch": 0.45, + "grad_norm": 0.7858573395754209, + "learning_rate": 1.1989616545814899e-05, + "loss": 0.7562, + "step": 19235 + }, + { + "epoch": 0.45, + "grad_norm": 1.5927907686895655, + "learning_rate": 1.198886875423292e-05, + "loss": 0.942, + "step": 19236 + }, + { + "epoch": 0.45, + "grad_norm": 2.253054597093482, + "learning_rate": 1.1988120951071113e-05, + "loss": 0.8889, + "step": 19237 + }, + { + "epoch": 0.45, + "grad_norm": 0.771953945141259, + "learning_rate": 1.198737313633384e-05, + "loss": 0.7769, + "step": 19238 + }, + { + "epoch": 0.45, + "grad_norm": 1.585946014871342, + "learning_rate": 1.1986625310025451e-05, + "loss": 0.8952, + "step": 19239 + }, + { + "epoch": 0.45, + "grad_norm": 1.751732829028008, + "learning_rate": 1.1985877472150299e-05, + "loss": 0.8873, + "step": 19240 + }, + { + "epoch": 0.45, + "grad_norm": 1.7647932557371329, + "learning_rate": 1.1985129622712738e-05, + "loss": 0.8329, + "step": 19241 + }, + { + "epoch": 0.45, + "grad_norm": 2.131444627032274, + "learning_rate": 1.1984381761717127e-05, + "loss": 0.916, + "step": 19242 + }, + { + "epoch": 0.45, + "grad_norm": 2.661115874009077, + "learning_rate": 1.1983633889167815e-05, + "loss": 0.9289, + "step": 19243 + }, + { + "epoch": 0.45, + "grad_norm": 1.9111942504239396, + "learning_rate": 1.198288600506916e-05, + "loss": 0.7586, + "step": 19244 + }, + { + "epoch": 0.45, + "grad_norm": 1.847641384882033, + "learning_rate": 1.1982138109425516e-05, + "loss": 0.9015, + "step": 19245 + }, + { + "epoch": 0.45, + "grad_norm": 2.324474653838885, + "learning_rate": 1.1981390202241235e-05, + "loss": 0.7971, + "step": 19246 + }, + { + "epoch": 0.45, + "grad_norm": 1.63093470649996, + "learning_rate": 1.1980642283520672e-05, + "loss": 0.8905, + "step": 19247 + }, + { + "epoch": 0.45, + "grad_norm": 0.703010534035725, + "learning_rate": 1.1979894353268185e-05, + "loss": 0.7223, + "step": 19248 + }, + { + "epoch": 0.45, + "grad_norm": 1.8905128436069696, + "learning_rate": 1.1979146411488122e-05, + "loss": 0.8566, + "step": 19249 + }, + { + "epoch": 0.45, + "grad_norm": 2.0910812947897215, + "learning_rate": 1.1978398458184848e-05, + "loss": 0.9726, + "step": 19250 + }, + { + "epoch": 0.45, + "grad_norm": 2.9955612946302406, + "learning_rate": 1.1977650493362708e-05, + "loss": 0.8587, + "step": 19251 + }, + { + "epoch": 0.45, + "grad_norm": 0.7874504712386653, + "learning_rate": 1.1976902517026063e-05, + "loss": 0.6762, + "step": 19252 + }, + { + "epoch": 0.45, + "grad_norm": 1.506933829888821, + "learning_rate": 1.1976154529179263e-05, + "loss": 0.8388, + "step": 19253 + }, + { + "epoch": 0.45, + "grad_norm": 1.9705078727816874, + "learning_rate": 1.1975406529826668e-05, + "loss": 0.7836, + "step": 19254 + }, + { + "epoch": 0.45, + "grad_norm": 1.818487971155155, + "learning_rate": 1.1974658518972625e-05, + "loss": 0.9625, + "step": 19255 + }, + { + "epoch": 0.45, + "grad_norm": 1.4712474270608367, + "learning_rate": 1.1973910496621503e-05, + "loss": 0.783, + "step": 19256 + }, + { + "epoch": 0.45, + "grad_norm": 2.014713959072228, + "learning_rate": 1.1973162462777645e-05, + "loss": 1.0517, + "step": 19257 + }, + { + "epoch": 0.45, + "grad_norm": 3.033768280129165, + "learning_rate": 1.197241441744541e-05, + "loss": 0.8213, + "step": 19258 + }, + { + "epoch": 0.45, + "grad_norm": 1.5235590212486065, + "learning_rate": 1.1971666360629157e-05, + "loss": 1.0032, + "step": 19259 + }, + { + "epoch": 0.45, + "grad_norm": 0.7657321563687088, + "learning_rate": 1.1970918292333234e-05, + "loss": 0.7646, + "step": 19260 + }, + { + "epoch": 0.45, + "grad_norm": 1.687564681182811, + "learning_rate": 1.1970170212562004e-05, + "loss": 0.8624, + "step": 19261 + }, + { + "epoch": 0.45, + "grad_norm": 1.6132216821037264, + "learning_rate": 1.1969422121319815e-05, + "loss": 0.8665, + "step": 19262 + }, + { + "epoch": 0.45, + "grad_norm": 1.6000365886073424, + "learning_rate": 1.1968674018611033e-05, + "loss": 0.9802, + "step": 19263 + }, + { + "epoch": 0.45, + "grad_norm": 1.5219091802821867, + "learning_rate": 1.1967925904440005e-05, + "loss": 0.9394, + "step": 19264 + }, + { + "epoch": 0.45, + "grad_norm": 1.5995036828846634, + "learning_rate": 1.1967177778811087e-05, + "loss": 0.946, + "step": 19265 + }, + { + "epoch": 0.45, + "grad_norm": 2.195407160131043, + "learning_rate": 1.1966429641728641e-05, + "loss": 0.8726, + "step": 19266 + }, + { + "epoch": 0.45, + "grad_norm": 0.7663537968254819, + "learning_rate": 1.1965681493197017e-05, + "loss": 0.7395, + "step": 19267 + }, + { + "epoch": 0.45, + "grad_norm": 2.0115867472772115, + "learning_rate": 1.1964933333220573e-05, + "loss": 0.8066, + "step": 19268 + }, + { + "epoch": 0.45, + "grad_norm": 1.4661729539810688, + "learning_rate": 1.1964185161803666e-05, + "loss": 0.8727, + "step": 19269 + }, + { + "epoch": 0.45, + "grad_norm": 2.0889302524559574, + "learning_rate": 1.196343697895065e-05, + "loss": 0.8887, + "step": 19270 + }, + { + "epoch": 0.45, + "grad_norm": 1.5611662556077468, + "learning_rate": 1.1962688784665883e-05, + "loss": 0.9196, + "step": 19271 + }, + { + "epoch": 0.45, + "grad_norm": 1.5966063077751202, + "learning_rate": 1.1961940578953719e-05, + "loss": 0.8383, + "step": 19272 + }, + { + "epoch": 0.45, + "grad_norm": 1.6978102607777725, + "learning_rate": 1.1961192361818517e-05, + "loss": 0.9027, + "step": 19273 + }, + { + "epoch": 0.45, + "grad_norm": 1.579727009915649, + "learning_rate": 1.1960444133264632e-05, + "loss": 0.9735, + "step": 19274 + }, + { + "epoch": 0.45, + "grad_norm": 1.6926976270940768, + "learning_rate": 1.1959695893296421e-05, + "loss": 0.8661, + "step": 19275 + }, + { + "epoch": 0.45, + "grad_norm": 1.7129806810710833, + "learning_rate": 1.1958947641918239e-05, + "loss": 0.8478, + "step": 19276 + }, + { + "epoch": 0.45, + "grad_norm": 1.5735882470836104, + "learning_rate": 1.1958199379134445e-05, + "loss": 0.8474, + "step": 19277 + }, + { + "epoch": 0.45, + "grad_norm": 0.7821076343051124, + "learning_rate": 1.1957451104949396e-05, + "loss": 0.7473, + "step": 19278 + }, + { + "epoch": 0.45, + "grad_norm": 0.7937143218964368, + "learning_rate": 1.1956702819367442e-05, + "loss": 0.691, + "step": 19279 + }, + { + "epoch": 0.45, + "grad_norm": 0.7805733464481158, + "learning_rate": 1.195595452239295e-05, + "loss": 0.7656, + "step": 19280 + }, + { + "epoch": 0.45, + "grad_norm": 1.6603760677378232, + "learning_rate": 1.1955206214030266e-05, + "loss": 0.8904, + "step": 19281 + }, + { + "epoch": 0.45, + "grad_norm": 1.4246781580319736, + "learning_rate": 1.1954457894283758e-05, + "loss": 0.8203, + "step": 19282 + }, + { + "epoch": 0.45, + "grad_norm": 1.7071156882569813, + "learning_rate": 1.1953709563157771e-05, + "loss": 0.7613, + "step": 19283 + }, + { + "epoch": 0.45, + "grad_norm": 3.515803869833053, + "learning_rate": 1.1952961220656676e-05, + "loss": 0.8666, + "step": 19284 + }, + { + "epoch": 0.45, + "grad_norm": 2.8570926391476106, + "learning_rate": 1.1952212866784819e-05, + "loss": 0.9539, + "step": 19285 + }, + { + "epoch": 0.45, + "grad_norm": 1.4558465032552887, + "learning_rate": 1.1951464501546559e-05, + "loss": 0.8345, + "step": 19286 + }, + { + "epoch": 0.45, + "grad_norm": 1.5953736560239737, + "learning_rate": 1.1950716124946256e-05, + "loss": 0.8949, + "step": 19287 + }, + { + "epoch": 0.45, + "grad_norm": 1.484893581974365, + "learning_rate": 1.1949967736988265e-05, + "loss": 0.9771, + "step": 19288 + }, + { + "epoch": 0.45, + "grad_norm": 1.7632365733786, + "learning_rate": 1.1949219337676948e-05, + "loss": 0.9229, + "step": 19289 + }, + { + "epoch": 0.45, + "grad_norm": 1.5255233023363945, + "learning_rate": 1.1948470927016656e-05, + "loss": 0.9752, + "step": 19290 + }, + { + "epoch": 0.45, + "grad_norm": 2.2740398622799733, + "learning_rate": 1.1947722505011749e-05, + "loss": 0.9158, + "step": 19291 + }, + { + "epoch": 0.45, + "grad_norm": 1.501502025810659, + "learning_rate": 1.1946974071666587e-05, + "loss": 0.8303, + "step": 19292 + }, + { + "epoch": 0.45, + "grad_norm": 1.5563314840917852, + "learning_rate": 1.1946225626985523e-05, + "loss": 0.9443, + "step": 19293 + }, + { + "epoch": 0.45, + "grad_norm": 1.5937752453436966, + "learning_rate": 1.194547717097292e-05, + "loss": 0.8681, + "step": 19294 + }, + { + "epoch": 0.45, + "grad_norm": 1.8031476884789217, + "learning_rate": 1.194472870363313e-05, + "loss": 0.8738, + "step": 19295 + }, + { + "epoch": 0.45, + "grad_norm": 1.7103206521952894, + "learning_rate": 1.1943980224970516e-05, + "loss": 0.8661, + "step": 19296 + }, + { + "epoch": 0.45, + "grad_norm": 1.615453625787488, + "learning_rate": 1.1943231734989434e-05, + "loss": 0.7856, + "step": 19297 + }, + { + "epoch": 0.45, + "grad_norm": 1.4878479785361367, + "learning_rate": 1.194248323369424e-05, + "loss": 0.8758, + "step": 19298 + }, + { + "epoch": 0.45, + "grad_norm": 1.5703604120624466, + "learning_rate": 1.1941734721089293e-05, + "loss": 0.8082, + "step": 19299 + }, + { + "epoch": 0.45, + "grad_norm": 1.4280220825826484, + "learning_rate": 1.1940986197178955e-05, + "loss": 0.9826, + "step": 19300 + }, + { + "epoch": 0.45, + "grad_norm": 0.8056408272990684, + "learning_rate": 1.1940237661967579e-05, + "loss": 0.7391, + "step": 19301 + }, + { + "epoch": 0.45, + "grad_norm": 0.8206104471889135, + "learning_rate": 1.1939489115459523e-05, + "loss": 0.7481, + "step": 19302 + }, + { + "epoch": 0.45, + "grad_norm": 2.244732592131581, + "learning_rate": 1.1938740557659153e-05, + "loss": 0.9471, + "step": 19303 + }, + { + "epoch": 0.45, + "grad_norm": 1.7950093603255886, + "learning_rate": 1.1937991988570815e-05, + "loss": 0.8543, + "step": 19304 + }, + { + "epoch": 0.45, + "grad_norm": 1.610912189733725, + "learning_rate": 1.193724340819888e-05, + "loss": 0.8838, + "step": 19305 + }, + { + "epoch": 0.45, + "grad_norm": 1.976944079005192, + "learning_rate": 1.1936494816547695e-05, + "loss": 0.8408, + "step": 19306 + }, + { + "epoch": 0.45, + "grad_norm": 1.697292107946424, + "learning_rate": 1.1935746213621629e-05, + "loss": 1.0748, + "step": 19307 + }, + { + "epoch": 0.45, + "grad_norm": 1.5356125435962091, + "learning_rate": 1.1934997599425034e-05, + "loss": 0.9922, + "step": 19308 + }, + { + "epoch": 0.45, + "grad_norm": 1.673950768365444, + "learning_rate": 1.1934248973962266e-05, + "loss": 0.8481, + "step": 19309 + }, + { + "epoch": 0.45, + "grad_norm": 1.4771539777377958, + "learning_rate": 1.1933500337237693e-05, + "loss": 0.8684, + "step": 19310 + }, + { + "epoch": 0.45, + "grad_norm": 1.503627434362618, + "learning_rate": 1.1932751689255666e-05, + "loss": 0.8998, + "step": 19311 + }, + { + "epoch": 0.45, + "grad_norm": 1.546010490171173, + "learning_rate": 1.1932003030020552e-05, + "loss": 0.8933, + "step": 19312 + }, + { + "epoch": 0.45, + "grad_norm": 2.64117991216531, + "learning_rate": 1.1931254359536698e-05, + "loss": 0.8737, + "step": 19313 + }, + { + "epoch": 0.46, + "grad_norm": 1.8269392406499534, + "learning_rate": 1.1930505677808476e-05, + "loss": 0.9654, + "step": 19314 + }, + { + "epoch": 0.46, + "grad_norm": 2.3657112167685126, + "learning_rate": 1.1929756984840236e-05, + "loss": 0.8794, + "step": 19315 + }, + { + "epoch": 0.46, + "grad_norm": 1.736279421472321, + "learning_rate": 1.1929008280636338e-05, + "loss": 0.8652, + "step": 19316 + }, + { + "epoch": 0.46, + "grad_norm": 1.6618117173687144, + "learning_rate": 1.1928259565201145e-05, + "loss": 0.8682, + "step": 19317 + }, + { + "epoch": 0.46, + "grad_norm": 1.6680029719977223, + "learning_rate": 1.1927510838539014e-05, + "loss": 0.8516, + "step": 19318 + }, + { + "epoch": 0.46, + "grad_norm": 1.4793922092512504, + "learning_rate": 1.1926762100654306e-05, + "loss": 0.8446, + "step": 19319 + }, + { + "epoch": 0.46, + "grad_norm": 1.4437915561634416, + "learning_rate": 1.1926013351551375e-05, + "loss": 0.8459, + "step": 19320 + }, + { + "epoch": 0.46, + "grad_norm": 0.8193097463635576, + "learning_rate": 1.1925264591234588e-05, + "loss": 0.7944, + "step": 19321 + }, + { + "epoch": 0.46, + "grad_norm": 2.436676116213336, + "learning_rate": 1.19245158197083e-05, + "loss": 0.8922, + "step": 19322 + }, + { + "epoch": 0.46, + "grad_norm": 2.1238596579558777, + "learning_rate": 1.1923767036976872e-05, + "loss": 0.9533, + "step": 19323 + }, + { + "epoch": 0.46, + "grad_norm": 1.6936471474157644, + "learning_rate": 1.1923018243044664e-05, + "loss": 0.9715, + "step": 19324 + }, + { + "epoch": 0.46, + "grad_norm": 1.4151622351766593, + "learning_rate": 1.1922269437916035e-05, + "loss": 0.7996, + "step": 19325 + }, + { + "epoch": 0.46, + "grad_norm": 1.5286685964751203, + "learning_rate": 1.1921520621595342e-05, + "loss": 1.0473, + "step": 19326 + }, + { + "epoch": 0.46, + "grad_norm": 1.4017044446385454, + "learning_rate": 1.1920771794086949e-05, + "loss": 0.8727, + "step": 19327 + }, + { + "epoch": 0.46, + "grad_norm": 1.557469732923206, + "learning_rate": 1.1920022955395217e-05, + "loss": 1.1133, + "step": 19328 + }, + { + "epoch": 0.46, + "grad_norm": 1.5331563642153123, + "learning_rate": 1.1919274105524501e-05, + "loss": 0.8587, + "step": 19329 + }, + { + "epoch": 0.46, + "grad_norm": 1.6340523918073322, + "learning_rate": 1.1918525244479161e-05, + "loss": 0.839, + "step": 19330 + }, + { + "epoch": 0.46, + "grad_norm": 2.1224189818623773, + "learning_rate": 1.1917776372263568e-05, + "loss": 0.9009, + "step": 19331 + }, + { + "epoch": 0.46, + "grad_norm": 1.4605487649187505, + "learning_rate": 1.1917027488882066e-05, + "loss": 0.8481, + "step": 19332 + }, + { + "epoch": 0.46, + "grad_norm": 1.8278942543453298, + "learning_rate": 1.1916278594339026e-05, + "loss": 0.7231, + "step": 19333 + }, + { + "epoch": 0.46, + "grad_norm": 1.6390638430031805, + "learning_rate": 1.1915529688638803e-05, + "loss": 1.0265, + "step": 19334 + }, + { + "epoch": 0.46, + "grad_norm": 1.716739392460843, + "learning_rate": 1.1914780771785764e-05, + "loss": 0.7585, + "step": 19335 + }, + { + "epoch": 0.46, + "grad_norm": 1.6151888818169309, + "learning_rate": 1.1914031843784262e-05, + "loss": 0.8503, + "step": 19336 + }, + { + "epoch": 0.46, + "grad_norm": 2.1963233467763796, + "learning_rate": 1.1913282904638661e-05, + "loss": 0.9306, + "step": 19337 + }, + { + "epoch": 0.46, + "grad_norm": 2.3088968512254437, + "learning_rate": 1.1912533954353323e-05, + "loss": 0.9003, + "step": 19338 + }, + { + "epoch": 0.46, + "grad_norm": 1.6377385762816092, + "learning_rate": 1.1911784992932605e-05, + "loss": 0.877, + "step": 19339 + }, + { + "epoch": 0.46, + "grad_norm": 1.6338789789408275, + "learning_rate": 1.1911036020380868e-05, + "loss": 1.0441, + "step": 19340 + }, + { + "epoch": 0.46, + "grad_norm": 1.5126932482500626, + "learning_rate": 1.1910287036702478e-05, + "loss": 0.8833, + "step": 19341 + }, + { + "epoch": 0.46, + "grad_norm": 1.9251503583806358, + "learning_rate": 1.1909538041901789e-05, + "loss": 0.9244, + "step": 19342 + }, + { + "epoch": 0.46, + "grad_norm": 0.811430773758855, + "learning_rate": 1.1908789035983166e-05, + "loss": 0.6963, + "step": 19343 + }, + { + "epoch": 0.46, + "grad_norm": 1.7357713381009172, + "learning_rate": 1.1908040018950968e-05, + "loss": 0.9375, + "step": 19344 + }, + { + "epoch": 0.46, + "grad_norm": 1.8117169581270909, + "learning_rate": 1.190729099080956e-05, + "loss": 0.8702, + "step": 19345 + }, + { + "epoch": 0.46, + "grad_norm": 1.5417010294102047, + "learning_rate": 1.1906541951563295e-05, + "loss": 0.955, + "step": 19346 + }, + { + "epoch": 0.46, + "grad_norm": 1.7706245144332353, + "learning_rate": 1.1905792901216544e-05, + "loss": 0.7763, + "step": 19347 + }, + { + "epoch": 0.46, + "grad_norm": 3.093292048295432, + "learning_rate": 1.190504383977366e-05, + "loss": 0.8458, + "step": 19348 + }, + { + "epoch": 0.46, + "grad_norm": 1.8903704183182501, + "learning_rate": 1.1904294767239009e-05, + "loss": 0.8466, + "step": 19349 + }, + { + "epoch": 0.46, + "grad_norm": 1.4847180043544081, + "learning_rate": 1.1903545683616953e-05, + "loss": 0.7845, + "step": 19350 + }, + { + "epoch": 0.46, + "grad_norm": 1.6291590577050354, + "learning_rate": 1.1902796588911847e-05, + "loss": 0.93, + "step": 19351 + }, + { + "epoch": 0.46, + "grad_norm": 0.7846289379012186, + "learning_rate": 1.1902047483128063e-05, + "loss": 0.7272, + "step": 19352 + }, + { + "epoch": 0.46, + "grad_norm": 1.569861916316345, + "learning_rate": 1.190129836626995e-05, + "loss": 0.9526, + "step": 19353 + }, + { + "epoch": 0.46, + "grad_norm": 1.5378695024994504, + "learning_rate": 1.1900549238341881e-05, + "loss": 0.8072, + "step": 19354 + }, + { + "epoch": 0.46, + "grad_norm": 1.7432675526422612, + "learning_rate": 1.1899800099348209e-05, + "loss": 0.9729, + "step": 19355 + }, + { + "epoch": 0.46, + "grad_norm": 1.7352427540633606, + "learning_rate": 1.1899050949293303e-05, + "loss": 0.9013, + "step": 19356 + }, + { + "epoch": 0.46, + "grad_norm": 2.3032966522882004, + "learning_rate": 1.1898301788181515e-05, + "loss": 0.927, + "step": 19357 + }, + { + "epoch": 0.46, + "grad_norm": 1.7319657867142844, + "learning_rate": 1.1897552616017216e-05, + "loss": 0.9145, + "step": 19358 + }, + { + "epoch": 0.46, + "grad_norm": 1.5423162263977783, + "learning_rate": 1.1896803432804768e-05, + "loss": 0.9115, + "step": 19359 + }, + { + "epoch": 0.46, + "grad_norm": 1.4588223523804302, + "learning_rate": 1.1896054238548527e-05, + "loss": 0.8813, + "step": 19360 + }, + { + "epoch": 0.46, + "grad_norm": 1.564105306794996, + "learning_rate": 1.189530503325286e-05, + "loss": 0.9486, + "step": 19361 + }, + { + "epoch": 0.46, + "grad_norm": 1.692371421267699, + "learning_rate": 1.1894555816922122e-05, + "loss": 0.7655, + "step": 19362 + }, + { + "epoch": 0.46, + "grad_norm": 1.6895178285478105, + "learning_rate": 1.1893806589560689e-05, + "loss": 0.8408, + "step": 19363 + }, + { + "epoch": 0.46, + "grad_norm": 1.8150021198373891, + "learning_rate": 1.1893057351172905e-05, + "loss": 0.9187, + "step": 19364 + }, + { + "epoch": 0.46, + "grad_norm": 1.6713303615646835, + "learning_rate": 1.1892308101763148e-05, + "loss": 0.9478, + "step": 19365 + }, + { + "epoch": 0.46, + "grad_norm": 1.4893612275019452, + "learning_rate": 1.1891558841335773e-05, + "loss": 0.9726, + "step": 19366 + }, + { + "epoch": 0.46, + "grad_norm": 1.6648329773668034, + "learning_rate": 1.189080956989514e-05, + "loss": 0.8808, + "step": 19367 + }, + { + "epoch": 0.46, + "grad_norm": 1.7110399666717975, + "learning_rate": 1.189006028744562e-05, + "loss": 0.9423, + "step": 19368 + }, + { + "epoch": 0.46, + "grad_norm": 2.0313692432143426, + "learning_rate": 1.1889310993991567e-05, + "loss": 0.7576, + "step": 19369 + }, + { + "epoch": 0.46, + "grad_norm": 1.4550552604786222, + "learning_rate": 1.188856168953735e-05, + "loss": 0.8751, + "step": 19370 + }, + { + "epoch": 0.46, + "grad_norm": 1.7784056610136667, + "learning_rate": 1.1887812374087328e-05, + "loss": 0.8457, + "step": 19371 + }, + { + "epoch": 0.46, + "grad_norm": 9.13228178022717, + "learning_rate": 1.1887063047645863e-05, + "loss": 0.848, + "step": 19372 + }, + { + "epoch": 0.46, + "grad_norm": 0.7743050457108025, + "learning_rate": 1.1886313710217322e-05, + "loss": 0.7204, + "step": 19373 + }, + { + "epoch": 0.46, + "grad_norm": 1.7540793982895195, + "learning_rate": 1.1885564361806063e-05, + "loss": 0.8248, + "step": 19374 + }, + { + "epoch": 0.46, + "grad_norm": 1.574479950696186, + "learning_rate": 1.1884815002416452e-05, + "loss": 0.9086, + "step": 19375 + }, + { + "epoch": 0.46, + "grad_norm": 1.8019147913411953, + "learning_rate": 1.1884065632052852e-05, + "loss": 1.023, + "step": 19376 + }, + { + "epoch": 0.46, + "grad_norm": 1.608182911482917, + "learning_rate": 1.1883316250719625e-05, + "loss": 0.9187, + "step": 19377 + }, + { + "epoch": 0.46, + "grad_norm": 1.476957053489462, + "learning_rate": 1.1882566858421137e-05, + "loss": 1.0493, + "step": 19378 + }, + { + "epoch": 0.46, + "grad_norm": 2.0666224245701694, + "learning_rate": 1.1881817455161747e-05, + "loss": 0.9154, + "step": 19379 + }, + { + "epoch": 0.46, + "grad_norm": 1.6718270058391531, + "learning_rate": 1.188106804094582e-05, + "loss": 1.0417, + "step": 19380 + }, + { + "epoch": 0.46, + "grad_norm": 1.8477388153318786, + "learning_rate": 1.1880318615777718e-05, + "loss": 0.8887, + "step": 19381 + }, + { + "epoch": 0.46, + "grad_norm": 1.6743839576871669, + "learning_rate": 1.1879569179661808e-05, + "loss": 0.8624, + "step": 19382 + }, + { + "epoch": 0.46, + "grad_norm": 1.5172583250231566, + "learning_rate": 1.1878819732602448e-05, + "loss": 0.7295, + "step": 19383 + }, + { + "epoch": 0.46, + "grad_norm": 0.8443911455506842, + "learning_rate": 1.1878070274604008e-05, + "loss": 0.7021, + "step": 19384 + }, + { + "epoch": 0.46, + "grad_norm": 2.49374660619474, + "learning_rate": 1.1877320805670845e-05, + "loss": 0.8433, + "step": 19385 + }, + { + "epoch": 0.46, + "grad_norm": 1.5786426697535818, + "learning_rate": 1.1876571325807328e-05, + "loss": 0.8756, + "step": 19386 + }, + { + "epoch": 0.46, + "grad_norm": 1.536064743813778, + "learning_rate": 1.1875821835017819e-05, + "loss": 0.819, + "step": 19387 + }, + { + "epoch": 0.46, + "grad_norm": 1.7332649629205494, + "learning_rate": 1.1875072333306681e-05, + "loss": 0.891, + "step": 19388 + }, + { + "epoch": 0.46, + "grad_norm": 1.9420377832345344, + "learning_rate": 1.1874322820678277e-05, + "loss": 0.8357, + "step": 19389 + }, + { + "epoch": 0.46, + "grad_norm": 0.7561029639209733, + "learning_rate": 1.1873573297136973e-05, + "loss": 0.7341, + "step": 19390 + }, + { + "epoch": 0.46, + "grad_norm": 1.572762933450247, + "learning_rate": 1.1872823762687133e-05, + "loss": 0.8703, + "step": 19391 + }, + { + "epoch": 0.46, + "grad_norm": 2.2491147609870983, + "learning_rate": 1.1872074217333118e-05, + "loss": 0.9249, + "step": 19392 + }, + { + "epoch": 0.46, + "grad_norm": 1.6182423184487533, + "learning_rate": 1.1871324661079295e-05, + "loss": 0.8992, + "step": 19393 + }, + { + "epoch": 0.46, + "grad_norm": 2.0485931014288967, + "learning_rate": 1.1870575093930027e-05, + "loss": 0.8441, + "step": 19394 + }, + { + "epoch": 0.46, + "grad_norm": 2.01807509568859, + "learning_rate": 1.1869825515889682e-05, + "loss": 0.8857, + "step": 19395 + }, + { + "epoch": 0.46, + "grad_norm": 1.7378275991892396, + "learning_rate": 1.1869075926962616e-05, + "loss": 0.9167, + "step": 19396 + }, + { + "epoch": 0.46, + "grad_norm": 1.734506542831791, + "learning_rate": 1.1868326327153202e-05, + "loss": 0.8833, + "step": 19397 + }, + { + "epoch": 0.46, + "grad_norm": 1.6934973754757745, + "learning_rate": 1.1867576716465799e-05, + "loss": 0.7921, + "step": 19398 + }, + { + "epoch": 0.46, + "grad_norm": 1.7618246036942988, + "learning_rate": 1.1866827094904773e-05, + "loss": 0.9071, + "step": 19399 + }, + { + "epoch": 0.46, + "grad_norm": 1.5956141983653391, + "learning_rate": 1.186607746247449e-05, + "loss": 0.8977, + "step": 19400 + }, + { + "epoch": 0.46, + "grad_norm": 1.5359108205397998, + "learning_rate": 1.1865327819179313e-05, + "loss": 0.8552, + "step": 19401 + }, + { + "epoch": 0.46, + "grad_norm": 1.890335334195534, + "learning_rate": 1.1864578165023604e-05, + "loss": 0.9651, + "step": 19402 + }, + { + "epoch": 0.46, + "grad_norm": 1.8448541781303578, + "learning_rate": 1.1863828500011736e-05, + "loss": 0.8664, + "step": 19403 + }, + { + "epoch": 0.46, + "grad_norm": 1.7105482214968435, + "learning_rate": 1.1863078824148062e-05, + "loss": 0.8086, + "step": 19404 + }, + { + "epoch": 0.46, + "grad_norm": 1.887089918800537, + "learning_rate": 1.1862329137436958e-05, + "loss": 0.8748, + "step": 19405 + }, + { + "epoch": 0.46, + "grad_norm": 1.6473697609458533, + "learning_rate": 1.1861579439882779e-05, + "loss": 0.9798, + "step": 19406 + }, + { + "epoch": 0.46, + "grad_norm": 1.6016799395050692, + "learning_rate": 1.18608297314899e-05, + "loss": 0.8963, + "step": 19407 + }, + { + "epoch": 0.46, + "grad_norm": 1.6294631778504833, + "learning_rate": 1.1860080012262683e-05, + "loss": 0.9867, + "step": 19408 + }, + { + "epoch": 0.46, + "grad_norm": 1.5838141952036306, + "learning_rate": 1.1859330282205483e-05, + "loss": 0.9987, + "step": 19409 + }, + { + "epoch": 0.46, + "grad_norm": 1.8543526148803502, + "learning_rate": 1.1858580541322682e-05, + "loss": 0.9472, + "step": 19410 + }, + { + "epoch": 0.46, + "grad_norm": 0.7988761383227878, + "learning_rate": 1.1857830789618632e-05, + "loss": 0.7364, + "step": 19411 + }, + { + "epoch": 0.46, + "grad_norm": 1.7621477629718203, + "learning_rate": 1.1857081027097706e-05, + "loss": 0.77, + "step": 19412 + }, + { + "epoch": 0.46, + "grad_norm": 1.9825643260253039, + "learning_rate": 1.1856331253764261e-05, + "loss": 0.792, + "step": 19413 + }, + { + "epoch": 0.46, + "grad_norm": 1.7297755934021506, + "learning_rate": 1.1855581469622673e-05, + "loss": 0.8929, + "step": 19414 + }, + { + "epoch": 0.46, + "grad_norm": 0.7505424889411181, + "learning_rate": 1.1854831674677298e-05, + "loss": 0.7622, + "step": 19415 + }, + { + "epoch": 0.46, + "grad_norm": 0.7264487290986003, + "learning_rate": 1.185408186893251e-05, + "loss": 0.7791, + "step": 19416 + }, + { + "epoch": 0.46, + "grad_norm": 1.610510115646491, + "learning_rate": 1.185333205239267e-05, + "loss": 1.0202, + "step": 19417 + }, + { + "epoch": 0.46, + "grad_norm": 2.1213721653854796, + "learning_rate": 1.1852582225062141e-05, + "loss": 0.87, + "step": 19418 + }, + { + "epoch": 0.46, + "grad_norm": 2.474769088559678, + "learning_rate": 1.1851832386945294e-05, + "loss": 0.7748, + "step": 19419 + }, + { + "epoch": 0.46, + "grad_norm": 0.7288403102918913, + "learning_rate": 1.1851082538046492e-05, + "loss": 0.6995, + "step": 19420 + }, + { + "epoch": 0.46, + "grad_norm": 1.8376381079671769, + "learning_rate": 1.18503326783701e-05, + "loss": 0.7166, + "step": 19421 + }, + { + "epoch": 0.46, + "grad_norm": 0.7935273867006136, + "learning_rate": 1.1849582807920488e-05, + "loss": 0.7143, + "step": 19422 + }, + { + "epoch": 0.46, + "grad_norm": 1.6612076140142842, + "learning_rate": 1.1848832926702017e-05, + "loss": 0.8924, + "step": 19423 + }, + { + "epoch": 0.46, + "grad_norm": 2.8167860959984603, + "learning_rate": 1.1848083034719055e-05, + "loss": 1.0286, + "step": 19424 + }, + { + "epoch": 0.46, + "grad_norm": 1.7732155251722788, + "learning_rate": 1.1847333131975971e-05, + "loss": 0.8418, + "step": 19425 + }, + { + "epoch": 0.46, + "grad_norm": 1.9817924324128826, + "learning_rate": 1.1846583218477129e-05, + "loss": 0.7388, + "step": 19426 + }, + { + "epoch": 0.46, + "grad_norm": 2.1240713752483527, + "learning_rate": 1.1845833294226892e-05, + "loss": 0.9342, + "step": 19427 + }, + { + "epoch": 0.46, + "grad_norm": 0.8332122877958913, + "learning_rate": 1.184508335922963e-05, + "loss": 0.7773, + "step": 19428 + }, + { + "epoch": 0.46, + "grad_norm": 1.6072234891029584, + "learning_rate": 1.1844333413489709e-05, + "loss": 0.9563, + "step": 19429 + }, + { + "epoch": 0.46, + "grad_norm": 1.6554425969482425, + "learning_rate": 1.1843583457011497e-05, + "loss": 0.9438, + "step": 19430 + }, + { + "epoch": 0.46, + "grad_norm": 1.5088983085349055, + "learning_rate": 1.1842833489799356e-05, + "loss": 0.8289, + "step": 19431 + }, + { + "epoch": 0.46, + "grad_norm": 1.7560503798283895, + "learning_rate": 1.1842083511857654e-05, + "loss": 0.9335, + "step": 19432 + }, + { + "epoch": 0.46, + "grad_norm": 1.599571622944776, + "learning_rate": 1.184133352319076e-05, + "loss": 0.8196, + "step": 19433 + }, + { + "epoch": 0.46, + "grad_norm": 1.761484274669151, + "learning_rate": 1.184058352380304e-05, + "loss": 0.8595, + "step": 19434 + }, + { + "epoch": 0.46, + "grad_norm": 1.647694202188808, + "learning_rate": 1.183983351369886e-05, + "loss": 0.9628, + "step": 19435 + }, + { + "epoch": 0.46, + "grad_norm": 1.8184503222750399, + "learning_rate": 1.1839083492882583e-05, + "loss": 0.9202, + "step": 19436 + }, + { + "epoch": 0.46, + "grad_norm": 1.8369161848328999, + "learning_rate": 1.1838333461358587e-05, + "loss": 0.7913, + "step": 19437 + }, + { + "epoch": 0.46, + "grad_norm": 1.728057799939287, + "learning_rate": 1.1837583419131227e-05, + "loss": 1.0726, + "step": 19438 + }, + { + "epoch": 0.46, + "grad_norm": 1.6818033216799395, + "learning_rate": 1.1836833366204874e-05, + "loss": 0.876, + "step": 19439 + }, + { + "epoch": 0.46, + "grad_norm": 2.1134764119080693, + "learning_rate": 1.1836083302583896e-05, + "loss": 0.7811, + "step": 19440 + }, + { + "epoch": 0.46, + "grad_norm": 1.5722183775392562, + "learning_rate": 1.183533322827266e-05, + "loss": 0.7835, + "step": 19441 + }, + { + "epoch": 0.46, + "grad_norm": 0.7556025611464823, + "learning_rate": 1.1834583143275534e-05, + "loss": 0.7099, + "step": 19442 + }, + { + "epoch": 0.46, + "grad_norm": 0.8009406959405777, + "learning_rate": 1.1833833047596884e-05, + "loss": 0.7408, + "step": 19443 + }, + { + "epoch": 0.46, + "grad_norm": 1.770238233603683, + "learning_rate": 1.1833082941241076e-05, + "loss": 0.8069, + "step": 19444 + }, + { + "epoch": 0.46, + "grad_norm": 1.6394193069689738, + "learning_rate": 1.1832332824212478e-05, + "loss": 0.996, + "step": 19445 + }, + { + "epoch": 0.46, + "grad_norm": 1.6803627163068593, + "learning_rate": 1.183158269651546e-05, + "loss": 0.8531, + "step": 19446 + }, + { + "epoch": 0.46, + "grad_norm": 2.4603139734660675, + "learning_rate": 1.1830832558154388e-05, + "loss": 0.8654, + "step": 19447 + }, + { + "epoch": 0.46, + "grad_norm": 1.6306100330649642, + "learning_rate": 1.1830082409133627e-05, + "loss": 0.9869, + "step": 19448 + }, + { + "epoch": 0.46, + "grad_norm": 1.5806806074225415, + "learning_rate": 1.182933224945755e-05, + "loss": 0.82, + "step": 19449 + }, + { + "epoch": 0.46, + "grad_norm": 2.9248662408575257, + "learning_rate": 1.1828582079130519e-05, + "loss": 0.8981, + "step": 19450 + }, + { + "epoch": 0.46, + "grad_norm": 1.9367756005945338, + "learning_rate": 1.1827831898156905e-05, + "loss": 0.8184, + "step": 19451 + }, + { + "epoch": 0.46, + "grad_norm": 1.511907961767117, + "learning_rate": 1.1827081706541076e-05, + "loss": 0.9476, + "step": 19452 + }, + { + "epoch": 0.46, + "grad_norm": 1.450661582937885, + "learning_rate": 1.1826331504287396e-05, + "loss": 0.8926, + "step": 19453 + }, + { + "epoch": 0.46, + "grad_norm": 1.8685053872286477, + "learning_rate": 1.182558129140024e-05, + "loss": 0.9131, + "step": 19454 + }, + { + "epoch": 0.46, + "grad_norm": 1.90347809765092, + "learning_rate": 1.1824831067883969e-05, + "loss": 0.8821, + "step": 19455 + }, + { + "epoch": 0.46, + "grad_norm": 1.7589364840418413, + "learning_rate": 1.1824080833742952e-05, + "loss": 0.7812, + "step": 19456 + }, + { + "epoch": 0.46, + "grad_norm": 1.5997414446164933, + "learning_rate": 1.1823330588981562e-05, + "loss": 0.8246, + "step": 19457 + }, + { + "epoch": 0.46, + "grad_norm": 2.071199545039866, + "learning_rate": 1.1822580333604163e-05, + "loss": 0.9713, + "step": 19458 + }, + { + "epoch": 0.46, + "grad_norm": 1.799718871033189, + "learning_rate": 1.1821830067615128e-05, + "loss": 0.8481, + "step": 19459 + }, + { + "epoch": 0.46, + "grad_norm": 1.6083988727911782, + "learning_rate": 1.1821079791018815e-05, + "loss": 0.7501, + "step": 19460 + }, + { + "epoch": 0.46, + "grad_norm": 1.6423152116665494, + "learning_rate": 1.1820329503819604e-05, + "loss": 0.7561, + "step": 19461 + }, + { + "epoch": 0.46, + "grad_norm": 1.4992674283417522, + "learning_rate": 1.1819579206021854e-05, + "loss": 0.8494, + "step": 19462 + }, + { + "epoch": 0.46, + "grad_norm": 1.7440715194709, + "learning_rate": 1.1818828897629941e-05, + "loss": 0.8611, + "step": 19463 + }, + { + "epoch": 0.46, + "grad_norm": 1.7749173005010401, + "learning_rate": 1.181807857864823e-05, + "loss": 0.876, + "step": 19464 + }, + { + "epoch": 0.46, + "grad_norm": 2.1378824868246395, + "learning_rate": 1.1817328249081088e-05, + "loss": 0.9691, + "step": 19465 + }, + { + "epoch": 0.46, + "grad_norm": 1.5576513679410358, + "learning_rate": 1.1816577908932887e-05, + "loss": 1.0651, + "step": 19466 + }, + { + "epoch": 0.46, + "grad_norm": 1.9493266587439022, + "learning_rate": 1.1815827558207996e-05, + "loss": 0.8952, + "step": 19467 + }, + { + "epoch": 0.46, + "grad_norm": 1.675424684451607, + "learning_rate": 1.181507719691078e-05, + "loss": 0.9799, + "step": 19468 + }, + { + "epoch": 0.46, + "grad_norm": 1.6357966640283002, + "learning_rate": 1.181432682504561e-05, + "loss": 0.9238, + "step": 19469 + }, + { + "epoch": 0.46, + "grad_norm": 1.7420775208472266, + "learning_rate": 1.1813576442616854e-05, + "loss": 0.8615, + "step": 19470 + }, + { + "epoch": 0.46, + "grad_norm": 1.705539015008191, + "learning_rate": 1.1812826049628883e-05, + "loss": 0.9136, + "step": 19471 + }, + { + "epoch": 0.46, + "grad_norm": 1.4312372641225817, + "learning_rate": 1.1812075646086066e-05, + "loss": 0.8929, + "step": 19472 + }, + { + "epoch": 0.46, + "grad_norm": 1.5374318042236639, + "learning_rate": 1.1811325231992768e-05, + "loss": 0.8092, + "step": 19473 + }, + { + "epoch": 0.46, + "grad_norm": 1.9095617977645587, + "learning_rate": 1.1810574807353362e-05, + "loss": 0.9073, + "step": 19474 + }, + { + "epoch": 0.46, + "grad_norm": 1.6637924180244008, + "learning_rate": 1.1809824372172217e-05, + "loss": 0.8493, + "step": 19475 + }, + { + "epoch": 0.46, + "grad_norm": 1.6754301253058212, + "learning_rate": 1.18090739264537e-05, + "loss": 0.9793, + "step": 19476 + }, + { + "epoch": 0.46, + "grad_norm": 1.6226873620270312, + "learning_rate": 1.1808323470202185e-05, + "loss": 0.8779, + "step": 19477 + }, + { + "epoch": 0.46, + "grad_norm": 2.021120195479356, + "learning_rate": 1.1807573003422035e-05, + "loss": 0.8613, + "step": 19478 + }, + { + "epoch": 0.46, + "grad_norm": 2.395535953235335, + "learning_rate": 1.1806822526117626e-05, + "loss": 0.8652, + "step": 19479 + }, + { + "epoch": 0.46, + "grad_norm": 1.8482093565656874, + "learning_rate": 1.1806072038293322e-05, + "loss": 0.8846, + "step": 19480 + }, + { + "epoch": 0.46, + "grad_norm": 1.9293513688805168, + "learning_rate": 1.1805321539953493e-05, + "loss": 0.8879, + "step": 19481 + }, + { + "epoch": 0.46, + "grad_norm": 1.9301011217391173, + "learning_rate": 1.1804571031102516e-05, + "loss": 0.9057, + "step": 19482 + }, + { + "epoch": 0.46, + "grad_norm": 1.846474162872791, + "learning_rate": 1.1803820511744749e-05, + "loss": 0.831, + "step": 19483 + }, + { + "epoch": 0.46, + "grad_norm": 1.5771265728146469, + "learning_rate": 1.1803069981884573e-05, + "loss": 0.6984, + "step": 19484 + }, + { + "epoch": 0.46, + "grad_norm": 1.7033064887803633, + "learning_rate": 1.1802319441526348e-05, + "loss": 0.923, + "step": 19485 + }, + { + "epoch": 0.46, + "grad_norm": 1.949069840994881, + "learning_rate": 1.1801568890674453e-05, + "loss": 0.7731, + "step": 19486 + }, + { + "epoch": 0.46, + "grad_norm": 1.5543679933115397, + "learning_rate": 1.180081832933325e-05, + "loss": 0.9368, + "step": 19487 + }, + { + "epoch": 0.46, + "grad_norm": 1.8618135138671021, + "learning_rate": 1.1800067757507115e-05, + "loss": 0.9359, + "step": 19488 + }, + { + "epoch": 0.46, + "grad_norm": 1.5055125959888798, + "learning_rate": 1.1799317175200416e-05, + "loss": 0.9144, + "step": 19489 + }, + { + "epoch": 0.46, + "grad_norm": 1.4970127684945636, + "learning_rate": 1.1798566582417521e-05, + "loss": 0.9, + "step": 19490 + }, + { + "epoch": 0.46, + "grad_norm": 1.806669461352025, + "learning_rate": 1.1797815979162801e-05, + "loss": 0.8485, + "step": 19491 + }, + { + "epoch": 0.46, + "grad_norm": 1.5827249066649682, + "learning_rate": 1.179706536544063e-05, + "loss": 0.8846, + "step": 19492 + }, + { + "epoch": 0.46, + "grad_norm": 1.6453973003449593, + "learning_rate": 1.1796314741255372e-05, + "loss": 0.7641, + "step": 19493 + }, + { + "epoch": 0.46, + "grad_norm": 1.574968514596797, + "learning_rate": 1.1795564106611401e-05, + "loss": 0.8654, + "step": 19494 + }, + { + "epoch": 0.46, + "grad_norm": 1.612811536996767, + "learning_rate": 1.1794813461513092e-05, + "loss": 0.9041, + "step": 19495 + }, + { + "epoch": 0.46, + "grad_norm": 1.873908854053305, + "learning_rate": 1.1794062805964808e-05, + "loss": 0.7468, + "step": 19496 + }, + { + "epoch": 0.46, + "grad_norm": 1.586314489237006, + "learning_rate": 1.1793312139970923e-05, + "loss": 0.9628, + "step": 19497 + }, + { + "epoch": 0.46, + "grad_norm": 2.9744216938753465, + "learning_rate": 1.1792561463535805e-05, + "loss": 1.0271, + "step": 19498 + }, + { + "epoch": 0.46, + "grad_norm": 2.0099981881875895, + "learning_rate": 1.1791810776663829e-05, + "loss": 0.7055, + "step": 19499 + }, + { + "epoch": 0.46, + "grad_norm": 1.5413090357193406, + "learning_rate": 1.1791060079359362e-05, + "loss": 0.8927, + "step": 19500 + }, + { + "epoch": 0.46, + "grad_norm": 1.5933639487066813, + "learning_rate": 1.1790309371626775e-05, + "loss": 0.9078, + "step": 19501 + }, + { + "epoch": 0.46, + "grad_norm": 2.034969365113078, + "learning_rate": 1.1789558653470443e-05, + "loss": 0.8586, + "step": 19502 + }, + { + "epoch": 0.46, + "grad_norm": 1.6595236166994132, + "learning_rate": 1.1788807924894734e-05, + "loss": 0.7727, + "step": 19503 + }, + { + "epoch": 0.46, + "grad_norm": 1.662447504161715, + "learning_rate": 1.1788057185904015e-05, + "loss": 0.9549, + "step": 19504 + }, + { + "epoch": 0.46, + "grad_norm": 1.5379244129955647, + "learning_rate": 1.1787306436502664e-05, + "loss": 0.7813, + "step": 19505 + }, + { + "epoch": 0.46, + "grad_norm": 1.6616285614963477, + "learning_rate": 1.1786555676695049e-05, + "loss": 0.8178, + "step": 19506 + }, + { + "epoch": 0.46, + "grad_norm": 1.8569788523703623, + "learning_rate": 1.178580490648554e-05, + "loss": 0.935, + "step": 19507 + }, + { + "epoch": 0.46, + "grad_norm": 0.7903290081788283, + "learning_rate": 1.178505412587851e-05, + "loss": 0.7397, + "step": 19508 + }, + { + "epoch": 0.46, + "grad_norm": 0.7818786710890394, + "learning_rate": 1.1784303334878331e-05, + "loss": 0.7187, + "step": 19509 + }, + { + "epoch": 0.46, + "grad_norm": 1.914923305930271, + "learning_rate": 1.1783552533489372e-05, + "loss": 0.8664, + "step": 19510 + }, + { + "epoch": 0.46, + "grad_norm": 1.4977988441637504, + "learning_rate": 1.1782801721716004e-05, + "loss": 0.8077, + "step": 19511 + }, + { + "epoch": 0.46, + "grad_norm": 1.4271253236349173, + "learning_rate": 1.1782050899562605e-05, + "loss": 0.7984, + "step": 19512 + }, + { + "epoch": 0.46, + "grad_norm": 0.7592415129810179, + "learning_rate": 1.1781300067033534e-05, + "loss": 0.7409, + "step": 19513 + }, + { + "epoch": 0.46, + "grad_norm": 1.584502888502762, + "learning_rate": 1.1780549224133177e-05, + "loss": 0.8564, + "step": 19514 + }, + { + "epoch": 0.46, + "grad_norm": 2.6581730432173782, + "learning_rate": 1.1779798370865893e-05, + "loss": 1.0046, + "step": 19515 + }, + { + "epoch": 0.46, + "grad_norm": 1.5212496310263584, + "learning_rate": 1.1779047507236064e-05, + "loss": 0.9185, + "step": 19516 + }, + { + "epoch": 0.46, + "grad_norm": 1.4160478360935522, + "learning_rate": 1.1778296633248056e-05, + "loss": 0.8484, + "step": 19517 + }, + { + "epoch": 0.46, + "grad_norm": 1.6887925810053772, + "learning_rate": 1.177754574890624e-05, + "loss": 0.8267, + "step": 19518 + }, + { + "epoch": 0.46, + "grad_norm": 1.694939731105114, + "learning_rate": 1.1776794854214993e-05, + "loss": 0.911, + "step": 19519 + }, + { + "epoch": 0.46, + "grad_norm": 1.7567251256408754, + "learning_rate": 1.1776043949178681e-05, + "loss": 0.976, + "step": 19520 + }, + { + "epoch": 0.46, + "grad_norm": 2.372752053646052, + "learning_rate": 1.177529303380168e-05, + "loss": 0.9069, + "step": 19521 + }, + { + "epoch": 0.46, + "grad_norm": 1.7429357054875119, + "learning_rate": 1.177454210808836e-05, + "loss": 0.9333, + "step": 19522 + }, + { + "epoch": 0.46, + "grad_norm": 1.7745119571318249, + "learning_rate": 1.1773791172043094e-05, + "loss": 0.9652, + "step": 19523 + }, + { + "epoch": 0.46, + "grad_norm": 1.883192132339577, + "learning_rate": 1.1773040225670257e-05, + "loss": 0.9365, + "step": 19524 + }, + { + "epoch": 0.46, + "grad_norm": 0.801236834456808, + "learning_rate": 1.1772289268974215e-05, + "loss": 0.732, + "step": 19525 + }, + { + "epoch": 0.46, + "grad_norm": 1.795673197388128, + "learning_rate": 1.1771538301959346e-05, + "loss": 0.954, + "step": 19526 + }, + { + "epoch": 0.46, + "grad_norm": 1.5520860955377909, + "learning_rate": 1.1770787324630019e-05, + "loss": 0.8237, + "step": 19527 + }, + { + "epoch": 0.46, + "grad_norm": 1.6655481911959056, + "learning_rate": 1.1770036336990609e-05, + "loss": 0.9859, + "step": 19528 + }, + { + "epoch": 0.46, + "grad_norm": 1.54219713239756, + "learning_rate": 1.1769285339045484e-05, + "loss": 0.7655, + "step": 19529 + }, + { + "epoch": 0.46, + "grad_norm": 1.709272954468948, + "learning_rate": 1.1768534330799021e-05, + "loss": 0.9648, + "step": 19530 + }, + { + "epoch": 0.46, + "grad_norm": 1.7166386408381626, + "learning_rate": 1.1767783312255595e-05, + "loss": 0.8801, + "step": 19531 + }, + { + "epoch": 0.46, + "grad_norm": 0.8241966823030736, + "learning_rate": 1.176703228341957e-05, + "loss": 0.758, + "step": 19532 + }, + { + "epoch": 0.46, + "grad_norm": 2.3143966519532055, + "learning_rate": 1.1766281244295328e-05, + "loss": 0.9171, + "step": 19533 + }, + { + "epoch": 0.46, + "grad_norm": 1.6155815916382377, + "learning_rate": 1.1765530194887231e-05, + "loss": 0.9195, + "step": 19534 + }, + { + "epoch": 0.46, + "grad_norm": 1.5871733329140127, + "learning_rate": 1.1764779135199664e-05, + "loss": 0.9397, + "step": 19535 + }, + { + "epoch": 0.46, + "grad_norm": 0.7998675703480734, + "learning_rate": 1.1764028065236991e-05, + "loss": 0.767, + "step": 19536 + }, + { + "epoch": 0.46, + "grad_norm": 1.3967963355209863, + "learning_rate": 1.1763276985003592e-05, + "loss": 0.8066, + "step": 19537 + }, + { + "epoch": 0.46, + "grad_norm": 2.157741287075993, + "learning_rate": 1.1762525894503831e-05, + "loss": 0.863, + "step": 19538 + }, + { + "epoch": 0.46, + "grad_norm": 1.9205536281666422, + "learning_rate": 1.1761774793742092e-05, + "loss": 0.9009, + "step": 19539 + }, + { + "epoch": 0.46, + "grad_norm": 1.5591275693922577, + "learning_rate": 1.176102368272274e-05, + "loss": 0.9053, + "step": 19540 + }, + { + "epoch": 0.46, + "grad_norm": 1.8807081588542531, + "learning_rate": 1.1760272561450146e-05, + "loss": 0.898, + "step": 19541 + }, + { + "epoch": 0.46, + "grad_norm": 1.7020034495410403, + "learning_rate": 1.1759521429928693e-05, + "loss": 0.9746, + "step": 19542 + }, + { + "epoch": 0.46, + "grad_norm": 2.6627932014046225, + "learning_rate": 1.1758770288162746e-05, + "loss": 0.7857, + "step": 19543 + }, + { + "epoch": 0.46, + "grad_norm": 1.6210005901287121, + "learning_rate": 1.1758019136156684e-05, + "loss": 0.8767, + "step": 19544 + }, + { + "epoch": 0.46, + "grad_norm": 1.596732650142375, + "learning_rate": 1.1757267973914876e-05, + "loss": 0.7884, + "step": 19545 + }, + { + "epoch": 0.46, + "grad_norm": 1.6670524123837949, + "learning_rate": 1.17565168014417e-05, + "loss": 0.7689, + "step": 19546 + }, + { + "epoch": 0.46, + "grad_norm": 1.6778012675290956, + "learning_rate": 1.1755765618741526e-05, + "loss": 0.8798, + "step": 19547 + }, + { + "epoch": 0.46, + "grad_norm": 1.5301410867949015, + "learning_rate": 1.175501442581873e-05, + "loss": 0.8885, + "step": 19548 + }, + { + "epoch": 0.46, + "grad_norm": 2.366914005181132, + "learning_rate": 1.1754263222677681e-05, + "loss": 0.8793, + "step": 19549 + }, + { + "epoch": 0.46, + "grad_norm": 1.6473135195375925, + "learning_rate": 1.1753512009322758e-05, + "loss": 0.8806, + "step": 19550 + }, + { + "epoch": 0.46, + "grad_norm": 2.1416720349452523, + "learning_rate": 1.1752760785758332e-05, + "loss": 0.7721, + "step": 19551 + }, + { + "epoch": 0.46, + "grad_norm": 2.1487863857074903, + "learning_rate": 1.1752009551988781e-05, + "loss": 0.7499, + "step": 19552 + }, + { + "epoch": 0.46, + "grad_norm": 1.477687337608344, + "learning_rate": 1.1751258308018473e-05, + "loss": 0.9141, + "step": 19553 + }, + { + "epoch": 0.46, + "grad_norm": 1.7087921483037283, + "learning_rate": 1.1750507053851784e-05, + "loss": 0.9918, + "step": 19554 + }, + { + "epoch": 0.46, + "grad_norm": 1.991381384434329, + "learning_rate": 1.1749755789493092e-05, + "loss": 0.846, + "step": 19555 + }, + { + "epoch": 0.46, + "grad_norm": 1.5818401039806145, + "learning_rate": 1.1749004514946765e-05, + "loss": 0.9025, + "step": 19556 + }, + { + "epoch": 0.46, + "grad_norm": 1.6484285617331522, + "learning_rate": 1.174825323021718e-05, + "loss": 0.8382, + "step": 19557 + }, + { + "epoch": 0.46, + "grad_norm": 1.8801867999107298, + "learning_rate": 1.1747501935308712e-05, + "loss": 1.0084, + "step": 19558 + }, + { + "epoch": 0.46, + "grad_norm": 1.5233100755484177, + "learning_rate": 1.1746750630225734e-05, + "loss": 0.8751, + "step": 19559 + }, + { + "epoch": 0.46, + "grad_norm": 2.0389240027054107, + "learning_rate": 1.1745999314972623e-05, + "loss": 0.8335, + "step": 19560 + }, + { + "epoch": 0.46, + "grad_norm": 2.1991075871880246, + "learning_rate": 1.174524798955375e-05, + "loss": 0.9453, + "step": 19561 + }, + { + "epoch": 0.46, + "grad_norm": 1.4803659676779766, + "learning_rate": 1.1744496653973488e-05, + "loss": 0.8295, + "step": 19562 + }, + { + "epoch": 0.46, + "grad_norm": 1.8459081021436463, + "learning_rate": 1.1743745308236218e-05, + "loss": 0.9383, + "step": 19563 + }, + { + "epoch": 0.46, + "grad_norm": 0.7668933756620863, + "learning_rate": 1.1742993952346307e-05, + "loss": 0.7444, + "step": 19564 + }, + { + "epoch": 0.46, + "grad_norm": 2.3780872989267374, + "learning_rate": 1.174224258630814e-05, + "loss": 0.8902, + "step": 19565 + }, + { + "epoch": 0.46, + "grad_norm": 1.8384728414510176, + "learning_rate": 1.1741491210126077e-05, + "loss": 0.9155, + "step": 19566 + }, + { + "epoch": 0.46, + "grad_norm": 1.519066187062828, + "learning_rate": 1.1740739823804506e-05, + "loss": 0.7389, + "step": 19567 + }, + { + "epoch": 0.46, + "grad_norm": 1.5371545054294709, + "learning_rate": 1.1739988427347795e-05, + "loss": 0.8538, + "step": 19568 + }, + { + "epoch": 0.46, + "grad_norm": 2.0351101417670225, + "learning_rate": 1.1739237020760319e-05, + "loss": 0.9217, + "step": 19569 + }, + { + "epoch": 0.46, + "grad_norm": 1.9915464835534484, + "learning_rate": 1.1738485604046457e-05, + "loss": 0.9787, + "step": 19570 + }, + { + "epoch": 0.46, + "grad_norm": 1.633133740625351, + "learning_rate": 1.1737734177210581e-05, + "loss": 0.8843, + "step": 19571 + }, + { + "epoch": 0.46, + "grad_norm": 1.8225029315104937, + "learning_rate": 1.1736982740257065e-05, + "loss": 0.8107, + "step": 19572 + }, + { + "epoch": 0.46, + "grad_norm": 1.7426207822628537, + "learning_rate": 1.1736231293190286e-05, + "loss": 0.8147, + "step": 19573 + }, + { + "epoch": 0.46, + "grad_norm": 1.5838256250665605, + "learning_rate": 1.1735479836014621e-05, + "loss": 0.905, + "step": 19574 + }, + { + "epoch": 0.46, + "grad_norm": 1.7783153040334632, + "learning_rate": 1.1734728368734441e-05, + "loss": 0.9035, + "step": 19575 + }, + { + "epoch": 0.46, + "grad_norm": 0.7580624791126273, + "learning_rate": 1.1733976891354122e-05, + "loss": 0.7136, + "step": 19576 + }, + { + "epoch": 0.46, + "grad_norm": 1.7360477261330423, + "learning_rate": 1.1733225403878042e-05, + "loss": 0.9427, + "step": 19577 + }, + { + "epoch": 0.46, + "grad_norm": 1.862333551489734, + "learning_rate": 1.1732473906310576e-05, + "loss": 0.8165, + "step": 19578 + }, + { + "epoch": 0.46, + "grad_norm": 1.8414228651743292, + "learning_rate": 1.1731722398656096e-05, + "loss": 0.8857, + "step": 19579 + }, + { + "epoch": 0.46, + "grad_norm": 1.769357216767121, + "learning_rate": 1.1730970880918981e-05, + "loss": 0.82, + "step": 19580 + }, + { + "epoch": 0.46, + "grad_norm": 0.76539609550144, + "learning_rate": 1.1730219353103604e-05, + "loss": 0.7141, + "step": 19581 + }, + { + "epoch": 0.46, + "grad_norm": 1.5323174659660923, + "learning_rate": 1.1729467815214348e-05, + "loss": 0.9105, + "step": 19582 + }, + { + "epoch": 0.46, + "grad_norm": 1.5364325171935327, + "learning_rate": 1.1728716267255575e-05, + "loss": 0.8403, + "step": 19583 + }, + { + "epoch": 0.46, + "grad_norm": 1.5397974561146037, + "learning_rate": 1.1727964709231676e-05, + "loss": 0.9268, + "step": 19584 + }, + { + "epoch": 0.46, + "grad_norm": 1.9884102372641626, + "learning_rate": 1.1727213141147013e-05, + "loss": 0.7932, + "step": 19585 + }, + { + "epoch": 0.46, + "grad_norm": 2.0451173664994973, + "learning_rate": 1.1726461563005973e-05, + "loss": 0.8028, + "step": 19586 + }, + { + "epoch": 0.46, + "grad_norm": 0.7337036265696991, + "learning_rate": 1.1725709974812922e-05, + "loss": 0.6817, + "step": 19587 + }, + { + "epoch": 0.46, + "grad_norm": 1.45395553287452, + "learning_rate": 1.1724958376572246e-05, + "loss": 0.944, + "step": 19588 + }, + { + "epoch": 0.46, + "grad_norm": 1.8765059637110058, + "learning_rate": 1.1724206768288316e-05, + "loss": 0.9531, + "step": 19589 + }, + { + "epoch": 0.46, + "grad_norm": 1.854124123429662, + "learning_rate": 1.1723455149965504e-05, + "loss": 0.846, + "step": 19590 + }, + { + "epoch": 0.46, + "grad_norm": 1.6588007311991386, + "learning_rate": 1.1722703521608197e-05, + "loss": 0.9369, + "step": 19591 + }, + { + "epoch": 0.46, + "grad_norm": 1.5424095097033454, + "learning_rate": 1.1721951883220756e-05, + "loss": 0.9345, + "step": 19592 + }, + { + "epoch": 0.46, + "grad_norm": 2.4036685282220698, + "learning_rate": 1.1721200234807574e-05, + "loss": 0.8016, + "step": 19593 + }, + { + "epoch": 0.46, + "grad_norm": 1.6779012052581967, + "learning_rate": 1.1720448576373013e-05, + "loss": 0.8715, + "step": 19594 + }, + { + "epoch": 0.46, + "grad_norm": 1.6857744773741319, + "learning_rate": 1.1719696907921463e-05, + "loss": 0.7974, + "step": 19595 + }, + { + "epoch": 0.46, + "grad_norm": 1.6469593919453998, + "learning_rate": 1.171894522945729e-05, + "loss": 0.7916, + "step": 19596 + }, + { + "epoch": 0.46, + "grad_norm": 1.7039651026542801, + "learning_rate": 1.1718193540984873e-05, + "loss": 0.7279, + "step": 19597 + }, + { + "epoch": 0.46, + "grad_norm": 1.793949869118429, + "learning_rate": 1.1717441842508588e-05, + "loss": 0.9475, + "step": 19598 + }, + { + "epoch": 0.46, + "grad_norm": 1.6563724426031838, + "learning_rate": 1.1716690134032813e-05, + "loss": 0.951, + "step": 19599 + }, + { + "epoch": 0.46, + "grad_norm": 2.4102738618749098, + "learning_rate": 1.1715938415561928e-05, + "loss": 0.8423, + "step": 19600 + }, + { + "epoch": 0.46, + "grad_norm": 3.5812107703851743, + "learning_rate": 1.1715186687100302e-05, + "loss": 0.9423, + "step": 19601 + }, + { + "epoch": 0.46, + "grad_norm": 1.5070060541744912, + "learning_rate": 1.1714434948652317e-05, + "loss": 0.8062, + "step": 19602 + }, + { + "epoch": 0.46, + "grad_norm": 1.8985200204079604, + "learning_rate": 1.171368320022235e-05, + "loss": 1.013, + "step": 19603 + }, + { + "epoch": 0.46, + "grad_norm": 2.086748169862556, + "learning_rate": 1.1712931441814776e-05, + "loss": 0.9034, + "step": 19604 + }, + { + "epoch": 0.46, + "grad_norm": 1.7768538876128388, + "learning_rate": 1.1712179673433974e-05, + "loss": 0.9212, + "step": 19605 + }, + { + "epoch": 0.46, + "grad_norm": 1.7069429775351992, + "learning_rate": 1.171142789508432e-05, + "loss": 0.8356, + "step": 19606 + }, + { + "epoch": 0.46, + "grad_norm": 1.4978129244514486, + "learning_rate": 1.1710676106770191e-05, + "loss": 0.8972, + "step": 19607 + }, + { + "epoch": 0.46, + "grad_norm": 1.8035257969719265, + "learning_rate": 1.1709924308495964e-05, + "loss": 0.9625, + "step": 19608 + }, + { + "epoch": 0.46, + "grad_norm": 1.8565823237545118, + "learning_rate": 1.1709172500266015e-05, + "loss": 0.9176, + "step": 19609 + }, + { + "epoch": 0.46, + "grad_norm": 1.5038370879792173, + "learning_rate": 1.1708420682084722e-05, + "loss": 0.8671, + "step": 19610 + }, + { + "epoch": 0.46, + "grad_norm": 1.5251867749224903, + "learning_rate": 1.1707668853956465e-05, + "loss": 0.7545, + "step": 19611 + }, + { + "epoch": 0.46, + "grad_norm": 1.5634859933708698, + "learning_rate": 1.1706917015885621e-05, + "loss": 0.8143, + "step": 19612 + }, + { + "epoch": 0.46, + "grad_norm": 1.6574044226814704, + "learning_rate": 1.1706165167876562e-05, + "loss": 1.0471, + "step": 19613 + }, + { + "epoch": 0.46, + "grad_norm": 1.6101139521267556, + "learning_rate": 1.170541330993367e-05, + "loss": 0.9888, + "step": 19614 + }, + { + "epoch": 0.46, + "grad_norm": 1.7695823262000574, + "learning_rate": 1.1704661442061323e-05, + "loss": 0.9523, + "step": 19615 + }, + { + "epoch": 0.46, + "grad_norm": 1.9008435412742022, + "learning_rate": 1.1703909564263898e-05, + "loss": 0.6932, + "step": 19616 + }, + { + "epoch": 0.46, + "grad_norm": 1.5298956693908106, + "learning_rate": 1.1703157676545768e-05, + "loss": 0.7791, + "step": 19617 + }, + { + "epoch": 0.46, + "grad_norm": 1.4505576276169085, + "learning_rate": 1.170240577891132e-05, + "loss": 0.6575, + "step": 19618 + }, + { + "epoch": 0.46, + "grad_norm": 2.3066987867920106, + "learning_rate": 1.1701653871364924e-05, + "loss": 0.8855, + "step": 19619 + }, + { + "epoch": 0.46, + "grad_norm": 1.6524219126679032, + "learning_rate": 1.1700901953910961e-05, + "loss": 0.792, + "step": 19620 + }, + { + "epoch": 0.46, + "grad_norm": 2.499082031183591, + "learning_rate": 1.1700150026553807e-05, + "loss": 0.9477, + "step": 19621 + }, + { + "epoch": 0.46, + "grad_norm": 2.1213275074279383, + "learning_rate": 1.1699398089297842e-05, + "loss": 0.9362, + "step": 19622 + }, + { + "epoch": 0.46, + "grad_norm": 1.5643110942088052, + "learning_rate": 1.1698646142147446e-05, + "loss": 0.8135, + "step": 19623 + }, + { + "epoch": 0.46, + "grad_norm": 2.4491402946407064, + "learning_rate": 1.1697894185106991e-05, + "loss": 1.0089, + "step": 19624 + }, + { + "epoch": 0.46, + "grad_norm": 0.8042456596328776, + "learning_rate": 1.1697142218180859e-05, + "loss": 0.7929, + "step": 19625 + }, + { + "epoch": 0.46, + "grad_norm": 1.9047497108363336, + "learning_rate": 1.1696390241373427e-05, + "loss": 0.8204, + "step": 19626 + }, + { + "epoch": 0.46, + "grad_norm": 1.804937814246349, + "learning_rate": 1.1695638254689074e-05, + "loss": 0.92, + "step": 19627 + }, + { + "epoch": 0.46, + "grad_norm": 1.814236299571973, + "learning_rate": 1.1694886258132182e-05, + "loss": 0.7765, + "step": 19628 + }, + { + "epoch": 0.46, + "grad_norm": 1.8612864414353067, + "learning_rate": 1.1694134251707121e-05, + "loss": 0.8887, + "step": 19629 + }, + { + "epoch": 0.46, + "grad_norm": 2.8244873917939186, + "learning_rate": 1.1693382235418276e-05, + "loss": 0.9087, + "step": 19630 + }, + { + "epoch": 0.46, + "grad_norm": 0.7314727995129864, + "learning_rate": 1.1692630209270024e-05, + "loss": 0.7796, + "step": 19631 + }, + { + "epoch": 0.46, + "grad_norm": 1.521264017905917, + "learning_rate": 1.1691878173266743e-05, + "loss": 0.8664, + "step": 19632 + }, + { + "epoch": 0.46, + "grad_norm": 2.6152469429697183, + "learning_rate": 1.1691126127412814e-05, + "loss": 0.8631, + "step": 19633 + }, + { + "epoch": 0.46, + "grad_norm": 2.2251206140697275, + "learning_rate": 1.1690374071712608e-05, + "loss": 0.9318, + "step": 19634 + }, + { + "epoch": 0.46, + "grad_norm": 1.5901176263199441, + "learning_rate": 1.168962200617051e-05, + "loss": 0.9387, + "step": 19635 + }, + { + "epoch": 0.46, + "grad_norm": 2.8075551138111146, + "learning_rate": 1.1688869930790898e-05, + "loss": 0.9988, + "step": 19636 + }, + { + "epoch": 0.46, + "grad_norm": 1.6348616538789653, + "learning_rate": 1.1688117845578155e-05, + "loss": 0.8255, + "step": 19637 + }, + { + "epoch": 0.46, + "grad_norm": 1.4425141860300041, + "learning_rate": 1.168736575053665e-05, + "loss": 0.8955, + "step": 19638 + }, + { + "epoch": 0.46, + "grad_norm": 1.4983870376218498, + "learning_rate": 1.168661364567077e-05, + "loss": 0.8984, + "step": 19639 + }, + { + "epoch": 0.46, + "grad_norm": 1.7038987162821444, + "learning_rate": 1.1685861530984893e-05, + "loss": 0.8402, + "step": 19640 + }, + { + "epoch": 0.46, + "grad_norm": 1.5809121526371954, + "learning_rate": 1.1685109406483392e-05, + "loss": 0.8654, + "step": 19641 + }, + { + "epoch": 0.46, + "grad_norm": 1.6356990243426526, + "learning_rate": 1.1684357272170655e-05, + "loss": 0.8494, + "step": 19642 + }, + { + "epoch": 0.46, + "grad_norm": 1.6514507629052415, + "learning_rate": 1.1683605128051053e-05, + "loss": 0.8421, + "step": 19643 + }, + { + "epoch": 0.46, + "grad_norm": 1.7567295469454145, + "learning_rate": 1.1682852974128974e-05, + "loss": 0.786, + "step": 19644 + }, + { + "epoch": 0.46, + "grad_norm": 1.5213871455657204, + "learning_rate": 1.1682100810408785e-05, + "loss": 0.9151, + "step": 19645 + }, + { + "epoch": 0.46, + "grad_norm": 1.5997319165643538, + "learning_rate": 1.1681348636894879e-05, + "loss": 0.87, + "step": 19646 + }, + { + "epoch": 0.46, + "grad_norm": 1.4412593771974083, + "learning_rate": 1.1680596453591626e-05, + "loss": 0.88, + "step": 19647 + }, + { + "epoch": 0.46, + "grad_norm": 2.0764296839027025, + "learning_rate": 1.1679844260503407e-05, + "loss": 0.9258, + "step": 19648 + }, + { + "epoch": 0.46, + "grad_norm": 1.7406819708143693, + "learning_rate": 1.1679092057634605e-05, + "loss": 0.8877, + "step": 19649 + }, + { + "epoch": 0.46, + "grad_norm": 1.547727568816485, + "learning_rate": 1.1678339844989597e-05, + "loss": 0.9402, + "step": 19650 + }, + { + "epoch": 0.46, + "grad_norm": 1.7277815540539518, + "learning_rate": 1.1677587622572763e-05, + "loss": 0.7982, + "step": 19651 + }, + { + "epoch": 0.46, + "grad_norm": 1.5563284942137636, + "learning_rate": 1.1676835390388484e-05, + "loss": 0.8793, + "step": 19652 + }, + { + "epoch": 0.46, + "grad_norm": 1.4971279394204373, + "learning_rate": 1.1676083148441135e-05, + "loss": 0.7898, + "step": 19653 + }, + { + "epoch": 0.46, + "grad_norm": 1.4691817810813, + "learning_rate": 1.1675330896735103e-05, + "loss": 0.73, + "step": 19654 + }, + { + "epoch": 0.46, + "grad_norm": 1.6840703660846315, + "learning_rate": 1.1674578635274763e-05, + "loss": 0.977, + "step": 19655 + }, + { + "epoch": 0.46, + "grad_norm": 1.7708986431606644, + "learning_rate": 1.1673826364064496e-05, + "loss": 0.874, + "step": 19656 + }, + { + "epoch": 0.46, + "grad_norm": 2.233845957790651, + "learning_rate": 1.167307408310868e-05, + "loss": 0.938, + "step": 19657 + }, + { + "epoch": 0.46, + "grad_norm": 1.7357486079848325, + "learning_rate": 1.1672321792411698e-05, + "loss": 0.8021, + "step": 19658 + }, + { + "epoch": 0.46, + "grad_norm": 0.7695438514003867, + "learning_rate": 1.167156949197793e-05, + "loss": 0.7038, + "step": 19659 + }, + { + "epoch": 0.46, + "grad_norm": 0.7849043835368, + "learning_rate": 1.1670817181811756e-05, + "loss": 0.668, + "step": 19660 + }, + { + "epoch": 0.46, + "grad_norm": 1.5829332048471525, + "learning_rate": 1.1670064861917554e-05, + "loss": 0.7573, + "step": 19661 + }, + { + "epoch": 0.46, + "grad_norm": 0.7984828356657034, + "learning_rate": 1.1669312532299705e-05, + "loss": 0.7445, + "step": 19662 + }, + { + "epoch": 0.46, + "grad_norm": 1.686516910416376, + "learning_rate": 1.1668560192962595e-05, + "loss": 0.8762, + "step": 19663 + }, + { + "epoch": 0.46, + "grad_norm": 1.8266943747632738, + "learning_rate": 1.1667807843910592e-05, + "loss": 0.8238, + "step": 19664 + }, + { + "epoch": 0.46, + "grad_norm": 1.7241315893178133, + "learning_rate": 1.166705548514809e-05, + "loss": 0.8374, + "step": 19665 + }, + { + "epoch": 0.46, + "grad_norm": 0.7535889315536392, + "learning_rate": 1.1666303116679456e-05, + "loss": 0.7543, + "step": 19666 + }, + { + "epoch": 0.46, + "grad_norm": 1.6053293094285548, + "learning_rate": 1.1665550738509084e-05, + "loss": 0.9506, + "step": 19667 + }, + { + "epoch": 0.46, + "grad_norm": 1.959993107855528, + "learning_rate": 1.1664798350641344e-05, + "loss": 0.7954, + "step": 19668 + }, + { + "epoch": 0.46, + "grad_norm": 1.9300818412446925, + "learning_rate": 1.1664045953080625e-05, + "loss": 0.8944, + "step": 19669 + }, + { + "epoch": 0.46, + "grad_norm": 1.8421008118984596, + "learning_rate": 1.1663293545831302e-05, + "loss": 0.904, + "step": 19670 + }, + { + "epoch": 0.46, + "grad_norm": 1.8566676223507275, + "learning_rate": 1.1662541128897758e-05, + "loss": 0.7799, + "step": 19671 + }, + { + "epoch": 0.46, + "grad_norm": 1.7335822622115515, + "learning_rate": 1.166178870228437e-05, + "loss": 0.9701, + "step": 19672 + }, + { + "epoch": 0.46, + "grad_norm": 1.9628654842670485, + "learning_rate": 1.1661036265995528e-05, + "loss": 0.731, + "step": 19673 + }, + { + "epoch": 0.46, + "grad_norm": 1.4939117309490828, + "learning_rate": 1.1660283820035601e-05, + "loss": 0.9652, + "step": 19674 + }, + { + "epoch": 0.46, + "grad_norm": 1.948789165671887, + "learning_rate": 1.1659531364408979e-05, + "loss": 0.9503, + "step": 19675 + }, + { + "epoch": 0.46, + "grad_norm": 1.8525562182680522, + "learning_rate": 1.1658778899120038e-05, + "loss": 0.7792, + "step": 19676 + }, + { + "epoch": 0.46, + "grad_norm": 1.6878932359938599, + "learning_rate": 1.1658026424173163e-05, + "loss": 0.8094, + "step": 19677 + }, + { + "epoch": 0.46, + "grad_norm": 1.346653784321406, + "learning_rate": 1.1657273939572734e-05, + "loss": 0.9052, + "step": 19678 + }, + { + "epoch": 0.46, + "grad_norm": 1.557632437189634, + "learning_rate": 1.1656521445323129e-05, + "loss": 0.8619, + "step": 19679 + }, + { + "epoch": 0.46, + "grad_norm": 1.5777685553951257, + "learning_rate": 1.1655768941428734e-05, + "loss": 0.779, + "step": 19680 + }, + { + "epoch": 0.46, + "grad_norm": 1.7311238104623985, + "learning_rate": 1.1655016427893926e-05, + "loss": 0.9243, + "step": 19681 + }, + { + "epoch": 0.46, + "grad_norm": 1.70511281303128, + "learning_rate": 1.1654263904723089e-05, + "loss": 0.7712, + "step": 19682 + }, + { + "epoch": 0.46, + "grad_norm": 1.4132273771041564, + "learning_rate": 1.1653511371920603e-05, + "loss": 0.8085, + "step": 19683 + }, + { + "epoch": 0.46, + "grad_norm": 1.7997513096818194, + "learning_rate": 1.1652758829490854e-05, + "loss": 0.856, + "step": 19684 + }, + { + "epoch": 0.46, + "grad_norm": 1.7513074478964052, + "learning_rate": 1.1652006277438214e-05, + "loss": 0.8923, + "step": 19685 + }, + { + "epoch": 0.46, + "grad_norm": 1.8649242137941553, + "learning_rate": 1.1651253715767077e-05, + "loss": 0.7291, + "step": 19686 + }, + { + "epoch": 0.46, + "grad_norm": 1.572516885407298, + "learning_rate": 1.1650501144481812e-05, + "loss": 0.9192, + "step": 19687 + }, + { + "epoch": 0.46, + "grad_norm": 1.5123137129880482, + "learning_rate": 1.164974856358681e-05, + "loss": 0.8334, + "step": 19688 + }, + { + "epoch": 0.46, + "grad_norm": 0.7755082777447814, + "learning_rate": 1.1648995973086448e-05, + "loss": 0.6938, + "step": 19689 + }, + { + "epoch": 0.46, + "grad_norm": 1.6764303738465804, + "learning_rate": 1.1648243372985111e-05, + "loss": 0.7809, + "step": 19690 + }, + { + "epoch": 0.46, + "grad_norm": 1.4313223872654832, + "learning_rate": 1.1647490763287178e-05, + "loss": 0.8319, + "step": 19691 + }, + { + "epoch": 0.46, + "grad_norm": 1.7944155755727873, + "learning_rate": 1.1646738143997031e-05, + "loss": 0.8105, + "step": 19692 + }, + { + "epoch": 0.46, + "grad_norm": 0.7522494256383951, + "learning_rate": 1.1645985515119059e-05, + "loss": 0.7275, + "step": 19693 + }, + { + "epoch": 0.46, + "grad_norm": 1.5443274320618707, + "learning_rate": 1.164523287665763e-05, + "loss": 0.9, + "step": 19694 + }, + { + "epoch": 0.46, + "grad_norm": 1.6625369274956008, + "learning_rate": 1.164448022861714e-05, + "loss": 0.8946, + "step": 19695 + }, + { + "epoch": 0.46, + "grad_norm": 2.40807873283967, + "learning_rate": 1.1643727571001964e-05, + "loss": 0.7676, + "step": 19696 + }, + { + "epoch": 0.46, + "grad_norm": 1.6455948590847835, + "learning_rate": 1.1642974903816488e-05, + "loss": 0.9084, + "step": 19697 + }, + { + "epoch": 0.46, + "grad_norm": 0.7300873135993182, + "learning_rate": 1.164222222706509e-05, + "loss": 0.7116, + "step": 19698 + }, + { + "epoch": 0.46, + "grad_norm": 1.8106717837981439, + "learning_rate": 1.1641469540752153e-05, + "loss": 0.8924, + "step": 19699 + }, + { + "epoch": 0.46, + "grad_norm": 1.816369170517364, + "learning_rate": 1.164071684488206e-05, + "loss": 0.9611, + "step": 19700 + }, + { + "epoch": 0.46, + "grad_norm": 2.7404589936298103, + "learning_rate": 1.1639964139459196e-05, + "loss": 0.8158, + "step": 19701 + }, + { + "epoch": 0.46, + "grad_norm": 0.7440187108037345, + "learning_rate": 1.1639211424487941e-05, + "loss": 0.7514, + "step": 19702 + }, + { + "epoch": 0.46, + "grad_norm": 1.8697901729318878, + "learning_rate": 1.1638458699972678e-05, + "loss": 0.9182, + "step": 19703 + }, + { + "epoch": 0.46, + "grad_norm": 1.9498692008624856, + "learning_rate": 1.1637705965917791e-05, + "loss": 0.9244, + "step": 19704 + }, + { + "epoch": 0.46, + "grad_norm": 0.7823850269024766, + "learning_rate": 1.163695322232766e-05, + "loss": 0.6837, + "step": 19705 + }, + { + "epoch": 0.46, + "grad_norm": 1.6367856657105564, + "learning_rate": 1.1636200469206671e-05, + "loss": 0.8497, + "step": 19706 + }, + { + "epoch": 0.46, + "grad_norm": 1.4933042812421775, + "learning_rate": 1.1635447706559205e-05, + "loss": 0.8035, + "step": 19707 + }, + { + "epoch": 0.46, + "grad_norm": 2.5182581648785063, + "learning_rate": 1.1634694934389641e-05, + "loss": 0.8626, + "step": 19708 + }, + { + "epoch": 0.46, + "grad_norm": 1.656044574032915, + "learning_rate": 1.1633942152702367e-05, + "loss": 0.9094, + "step": 19709 + }, + { + "epoch": 0.46, + "grad_norm": 1.6505825100819598, + "learning_rate": 1.1633189361501767e-05, + "loss": 0.7741, + "step": 19710 + }, + { + "epoch": 0.46, + "grad_norm": 1.5471555377633208, + "learning_rate": 1.1632436560792217e-05, + "loss": 0.9116, + "step": 19711 + }, + { + "epoch": 0.46, + "grad_norm": 1.7252614230776797, + "learning_rate": 1.1631683750578112e-05, + "loss": 0.8593, + "step": 19712 + }, + { + "epoch": 0.46, + "grad_norm": 1.4640408541786656, + "learning_rate": 1.163093093086382e-05, + "loss": 0.8009, + "step": 19713 + }, + { + "epoch": 0.46, + "grad_norm": 0.7760658439199596, + "learning_rate": 1.1630178101653736e-05, + "loss": 0.7624, + "step": 19714 + }, + { + "epoch": 0.46, + "grad_norm": 1.6611754739503988, + "learning_rate": 1.1629425262952235e-05, + "loss": 0.8577, + "step": 19715 + }, + { + "epoch": 0.46, + "grad_norm": 0.7834501506219443, + "learning_rate": 1.1628672414763709e-05, + "loss": 0.7322, + "step": 19716 + }, + { + "epoch": 0.46, + "grad_norm": 1.834167669991319, + "learning_rate": 1.1627919557092532e-05, + "loss": 0.8819, + "step": 19717 + }, + { + "epoch": 0.46, + "grad_norm": 1.8494934350766228, + "learning_rate": 1.1627166689943098e-05, + "loss": 0.8056, + "step": 19718 + }, + { + "epoch": 0.46, + "grad_norm": 2.1785083003100114, + "learning_rate": 1.1626413813319779e-05, + "loss": 0.9112, + "step": 19719 + }, + { + "epoch": 0.46, + "grad_norm": 1.5902772984574725, + "learning_rate": 1.1625660927226966e-05, + "loss": 0.9198, + "step": 19720 + }, + { + "epoch": 0.46, + "grad_norm": 2.1320489140527012, + "learning_rate": 1.162490803166904e-05, + "loss": 0.8598, + "step": 19721 + }, + { + "epoch": 0.46, + "grad_norm": 2.0420922186329955, + "learning_rate": 1.1624155126650385e-05, + "loss": 0.7707, + "step": 19722 + }, + { + "epoch": 0.46, + "grad_norm": 1.5736673030366135, + "learning_rate": 1.1623402212175384e-05, + "loss": 0.7541, + "step": 19723 + }, + { + "epoch": 0.46, + "grad_norm": 1.6137235520409068, + "learning_rate": 1.1622649288248422e-05, + "loss": 0.8188, + "step": 19724 + }, + { + "epoch": 0.46, + "grad_norm": 1.3478468376865458, + "learning_rate": 1.1621896354873883e-05, + "loss": 0.8381, + "step": 19725 + }, + { + "epoch": 0.46, + "grad_norm": 1.9689594733715488, + "learning_rate": 1.1621143412056146e-05, + "loss": 0.8064, + "step": 19726 + }, + { + "epoch": 0.46, + "grad_norm": 2.4073460389315713, + "learning_rate": 1.1620390459799605e-05, + "loss": 0.7866, + "step": 19727 + }, + { + "epoch": 0.46, + "grad_norm": 1.6590212503685213, + "learning_rate": 1.1619637498108634e-05, + "loss": 0.8305, + "step": 19728 + }, + { + "epoch": 0.46, + "grad_norm": 3.555918451000445, + "learning_rate": 1.1618884526987619e-05, + "loss": 0.8571, + "step": 19729 + }, + { + "epoch": 0.46, + "grad_norm": 1.5640123298616395, + "learning_rate": 1.1618131546440949e-05, + "loss": 0.8749, + "step": 19730 + }, + { + "epoch": 0.46, + "grad_norm": 0.7194732497801772, + "learning_rate": 1.1617378556473004e-05, + "loss": 0.7007, + "step": 19731 + }, + { + "epoch": 0.46, + "grad_norm": 1.8598776289981598, + "learning_rate": 1.1616625557088169e-05, + "loss": 0.8915, + "step": 19732 + }, + { + "epoch": 0.46, + "grad_norm": 1.6714551031547649, + "learning_rate": 1.1615872548290827e-05, + "loss": 0.8243, + "step": 19733 + }, + { + "epoch": 0.46, + "grad_norm": 1.9120227088108965, + "learning_rate": 1.1615119530085365e-05, + "loss": 0.8484, + "step": 19734 + }, + { + "epoch": 0.46, + "grad_norm": 1.7291341362318664, + "learning_rate": 1.1614366502476169e-05, + "loss": 0.8813, + "step": 19735 + }, + { + "epoch": 0.46, + "grad_norm": 1.807005138160626, + "learning_rate": 1.1613613465467612e-05, + "loss": 0.9353, + "step": 19736 + }, + { + "epoch": 0.46, + "grad_norm": 1.4097306314937867, + "learning_rate": 1.1612860419064092e-05, + "loss": 0.8696, + "step": 19737 + }, + { + "epoch": 0.47, + "grad_norm": 1.4705425867013058, + "learning_rate": 1.1612107363269987e-05, + "loss": 0.8334, + "step": 19738 + }, + { + "epoch": 0.47, + "grad_norm": 1.8688758936793588, + "learning_rate": 1.1611354298089683e-05, + "loss": 0.8581, + "step": 19739 + }, + { + "epoch": 0.47, + "grad_norm": 1.5848906404338685, + "learning_rate": 1.1610601223527563e-05, + "loss": 0.9081, + "step": 19740 + }, + { + "epoch": 0.47, + "grad_norm": 0.7724957220553205, + "learning_rate": 1.1609848139588014e-05, + "loss": 0.6945, + "step": 19741 + }, + { + "epoch": 0.47, + "grad_norm": 1.9309584708531107, + "learning_rate": 1.160909504627542e-05, + "loss": 0.9853, + "step": 19742 + }, + { + "epoch": 0.47, + "grad_norm": 1.5661017558658585, + "learning_rate": 1.1608341943594162e-05, + "loss": 0.856, + "step": 19743 + }, + { + "epoch": 0.47, + "grad_norm": 1.4890217523430633, + "learning_rate": 1.160758883154863e-05, + "loss": 0.93, + "step": 19744 + }, + { + "epoch": 0.47, + "grad_norm": 1.6198900583016458, + "learning_rate": 1.1606835710143207e-05, + "loss": 0.8184, + "step": 19745 + }, + { + "epoch": 0.47, + "grad_norm": 1.8439975911569906, + "learning_rate": 1.160608257938228e-05, + "loss": 1.0504, + "step": 19746 + }, + { + "epoch": 0.47, + "grad_norm": 1.9521262877039238, + "learning_rate": 1.1605329439270227e-05, + "loss": 0.8439, + "step": 19747 + }, + { + "epoch": 0.47, + "grad_norm": 1.8927377289135352, + "learning_rate": 1.1604576289811442e-05, + "loss": 0.9233, + "step": 19748 + }, + { + "epoch": 0.47, + "grad_norm": 3.2381569763079314, + "learning_rate": 1.1603823131010303e-05, + "loss": 0.7015, + "step": 19749 + }, + { + "epoch": 0.47, + "grad_norm": 2.358987084951402, + "learning_rate": 1.16030699628712e-05, + "loss": 0.8512, + "step": 19750 + }, + { + "epoch": 0.47, + "grad_norm": 2.193742768870068, + "learning_rate": 1.1602316785398515e-05, + "loss": 0.8297, + "step": 19751 + }, + { + "epoch": 0.47, + "grad_norm": 2.0370943911772628, + "learning_rate": 1.1601563598596635e-05, + "loss": 0.8231, + "step": 19752 + }, + { + "epoch": 0.47, + "grad_norm": 1.9644157454705653, + "learning_rate": 1.1600810402469944e-05, + "loss": 0.8794, + "step": 19753 + }, + { + "epoch": 0.47, + "grad_norm": 1.736805717329734, + "learning_rate": 1.1600057197022826e-05, + "loss": 0.8946, + "step": 19754 + }, + { + "epoch": 0.47, + "grad_norm": 1.778489557808737, + "learning_rate": 1.1599303982259673e-05, + "loss": 0.8591, + "step": 19755 + }, + { + "epoch": 0.47, + "grad_norm": 1.8021232655301456, + "learning_rate": 1.1598550758184864e-05, + "loss": 0.925, + "step": 19756 + }, + { + "epoch": 0.47, + "grad_norm": 1.6945486519394248, + "learning_rate": 1.1597797524802786e-05, + "loss": 0.8842, + "step": 19757 + }, + { + "epoch": 0.47, + "grad_norm": 1.7052280939153301, + "learning_rate": 1.1597044282117824e-05, + "loss": 0.9271, + "step": 19758 + }, + { + "epoch": 0.47, + "grad_norm": 2.005453875273693, + "learning_rate": 1.1596291030134366e-05, + "loss": 0.963, + "step": 19759 + }, + { + "epoch": 0.47, + "grad_norm": 1.3895504660009184, + "learning_rate": 1.1595537768856794e-05, + "loss": 0.9392, + "step": 19760 + }, + { + "epoch": 0.47, + "grad_norm": 1.5183378995154289, + "learning_rate": 1.15947844982895e-05, + "loss": 0.9355, + "step": 19761 + }, + { + "epoch": 0.47, + "grad_norm": 1.4818936080974237, + "learning_rate": 1.1594031218436864e-05, + "loss": 0.982, + "step": 19762 + }, + { + "epoch": 0.47, + "grad_norm": 0.7153154412337785, + "learning_rate": 1.1593277929303275e-05, + "loss": 0.676, + "step": 19763 + }, + { + "epoch": 0.47, + "grad_norm": 1.7078840576983165, + "learning_rate": 1.1592524630893111e-05, + "loss": 0.8713, + "step": 19764 + }, + { + "epoch": 0.47, + "grad_norm": 1.616981089619901, + "learning_rate": 1.1591771323210771e-05, + "loss": 0.8105, + "step": 19765 + }, + { + "epoch": 0.47, + "grad_norm": 1.5318089426840695, + "learning_rate": 1.1591018006260631e-05, + "loss": 0.7562, + "step": 19766 + }, + { + "epoch": 0.47, + "grad_norm": 1.5687477340155884, + "learning_rate": 1.1590264680047084e-05, + "loss": 0.9599, + "step": 19767 + }, + { + "epoch": 0.47, + "grad_norm": 1.8020935401619986, + "learning_rate": 1.1589511344574509e-05, + "loss": 0.8419, + "step": 19768 + }, + { + "epoch": 0.47, + "grad_norm": 1.9998499866398063, + "learning_rate": 1.1588757999847297e-05, + "loss": 0.9039, + "step": 19769 + }, + { + "epoch": 0.47, + "grad_norm": 1.538282780880515, + "learning_rate": 1.1588004645869835e-05, + "loss": 0.8097, + "step": 19770 + }, + { + "epoch": 0.47, + "grad_norm": 0.7943403698030408, + "learning_rate": 1.1587251282646505e-05, + "loss": 0.731, + "step": 19771 + }, + { + "epoch": 0.47, + "grad_norm": 1.6389356555263435, + "learning_rate": 1.1586497910181695e-05, + "loss": 0.9474, + "step": 19772 + }, + { + "epoch": 0.47, + "grad_norm": 1.7024109424281377, + "learning_rate": 1.1585744528479794e-05, + "loss": 0.9363, + "step": 19773 + }, + { + "epoch": 0.47, + "grad_norm": 1.7169855236091323, + "learning_rate": 1.1584991137545185e-05, + "loss": 0.9225, + "step": 19774 + }, + { + "epoch": 0.47, + "grad_norm": 1.7562691426008141, + "learning_rate": 1.1584237737382253e-05, + "loss": 0.8448, + "step": 19775 + }, + { + "epoch": 0.47, + "grad_norm": 1.5292094530216787, + "learning_rate": 1.158348432799539e-05, + "loss": 0.8114, + "step": 19776 + }, + { + "epoch": 0.47, + "grad_norm": 1.4809840117846218, + "learning_rate": 1.1582730909388982e-05, + "loss": 0.8152, + "step": 19777 + }, + { + "epoch": 0.47, + "grad_norm": 1.5157582269245546, + "learning_rate": 1.1581977481567413e-05, + "loss": 0.8552, + "step": 19778 + }, + { + "epoch": 0.47, + "grad_norm": 1.8381932020746905, + "learning_rate": 1.1581224044535067e-05, + "loss": 0.9565, + "step": 19779 + }, + { + "epoch": 0.47, + "grad_norm": 1.5827106897314676, + "learning_rate": 1.1580470598296337e-05, + "loss": 0.8825, + "step": 19780 + }, + { + "epoch": 0.47, + "grad_norm": 1.8032989170615026, + "learning_rate": 1.1579717142855605e-05, + "loss": 0.8568, + "step": 19781 + }, + { + "epoch": 0.47, + "grad_norm": 2.969424802104219, + "learning_rate": 1.157896367821726e-05, + "loss": 0.9374, + "step": 19782 + }, + { + "epoch": 0.47, + "grad_norm": 1.669910450685055, + "learning_rate": 1.1578210204385689e-05, + "loss": 0.8288, + "step": 19783 + }, + { + "epoch": 0.47, + "grad_norm": 0.81463945474899, + "learning_rate": 1.157745672136528e-05, + "loss": 0.7321, + "step": 19784 + }, + { + "epoch": 0.47, + "grad_norm": 0.7682624559940197, + "learning_rate": 1.1576703229160416e-05, + "loss": 0.6934, + "step": 19785 + }, + { + "epoch": 0.47, + "grad_norm": 1.5214839980139652, + "learning_rate": 1.1575949727775487e-05, + "loss": 0.8565, + "step": 19786 + }, + { + "epoch": 0.47, + "grad_norm": 1.523868333244922, + "learning_rate": 1.1575196217214879e-05, + "loss": 0.7833, + "step": 19787 + }, + { + "epoch": 0.47, + "grad_norm": 1.6258535686754942, + "learning_rate": 1.1574442697482982e-05, + "loss": 0.7943, + "step": 19788 + }, + { + "epoch": 0.47, + "grad_norm": 1.7603607604447973, + "learning_rate": 1.1573689168584182e-05, + "loss": 0.8901, + "step": 19789 + }, + { + "epoch": 0.47, + "grad_norm": 1.499213375373699, + "learning_rate": 1.1572935630522864e-05, + "loss": 0.9057, + "step": 19790 + }, + { + "epoch": 0.47, + "grad_norm": 1.8982962654958715, + "learning_rate": 1.1572182083303417e-05, + "loss": 0.8295, + "step": 19791 + }, + { + "epoch": 0.47, + "grad_norm": 2.169395979646538, + "learning_rate": 1.1571428526930227e-05, + "loss": 1.0023, + "step": 19792 + }, + { + "epoch": 0.47, + "grad_norm": 1.4829204137480019, + "learning_rate": 1.1570674961407684e-05, + "loss": 0.831, + "step": 19793 + }, + { + "epoch": 0.47, + "grad_norm": 1.8899446692024882, + "learning_rate": 1.156992138674017e-05, + "loss": 0.8788, + "step": 19794 + }, + { + "epoch": 0.47, + "grad_norm": 1.5047207451840783, + "learning_rate": 1.1569167802932084e-05, + "loss": 0.8555, + "step": 19795 + }, + { + "epoch": 0.47, + "grad_norm": 1.7184756552115772, + "learning_rate": 1.15684142099878e-05, + "loss": 0.9334, + "step": 19796 + }, + { + "epoch": 0.47, + "grad_norm": 0.8373386023586343, + "learning_rate": 1.1567660607911718e-05, + "loss": 0.7627, + "step": 19797 + }, + { + "epoch": 0.47, + "grad_norm": 1.8333004797443897, + "learning_rate": 1.1566906996708212e-05, + "loss": 0.802, + "step": 19798 + }, + { + "epoch": 0.47, + "grad_norm": 1.468940234768286, + "learning_rate": 1.1566153376381683e-05, + "loss": 0.8515, + "step": 19799 + }, + { + "epoch": 0.47, + "grad_norm": 0.7581195179805019, + "learning_rate": 1.1565399746936513e-05, + "loss": 0.6815, + "step": 19800 + }, + { + "epoch": 0.47, + "grad_norm": 0.7361119353189254, + "learning_rate": 1.1564646108377088e-05, + "loss": 0.6742, + "step": 19801 + }, + { + "epoch": 0.47, + "grad_norm": 1.3730414414917251, + "learning_rate": 1.1563892460707799e-05, + "loss": 0.7446, + "step": 19802 + }, + { + "epoch": 0.47, + "grad_norm": 1.6908325334969643, + "learning_rate": 1.1563138803933031e-05, + "loss": 0.9619, + "step": 19803 + }, + { + "epoch": 0.47, + "grad_norm": 1.7453750741409046, + "learning_rate": 1.1562385138057177e-05, + "loss": 0.8282, + "step": 19804 + }, + { + "epoch": 0.47, + "grad_norm": 1.6646529323988717, + "learning_rate": 1.1561631463084621e-05, + "loss": 0.919, + "step": 19805 + }, + { + "epoch": 0.47, + "grad_norm": 1.716942809414044, + "learning_rate": 1.1560877779019752e-05, + "loss": 0.9279, + "step": 19806 + }, + { + "epoch": 0.47, + "grad_norm": 0.743226526991585, + "learning_rate": 1.1560124085866957e-05, + "loss": 0.7002, + "step": 19807 + }, + { + "epoch": 0.47, + "grad_norm": 1.6082317742602392, + "learning_rate": 1.1559370383630628e-05, + "loss": 0.9175, + "step": 19808 + }, + { + "epoch": 0.47, + "grad_norm": 1.5072930369536224, + "learning_rate": 1.155861667231515e-05, + "loss": 0.9745, + "step": 19809 + }, + { + "epoch": 0.47, + "grad_norm": 1.8827271981635088, + "learning_rate": 1.1557862951924912e-05, + "loss": 0.9411, + "step": 19810 + }, + { + "epoch": 0.47, + "grad_norm": 1.7570148304576598, + "learning_rate": 1.1557109222464302e-05, + "loss": 0.831, + "step": 19811 + }, + { + "epoch": 0.47, + "grad_norm": 1.8553734427995947, + "learning_rate": 1.155635548393771e-05, + "loss": 0.8168, + "step": 19812 + }, + { + "epoch": 0.47, + "grad_norm": 1.516146536956088, + "learning_rate": 1.1555601736349525e-05, + "loss": 0.9732, + "step": 19813 + }, + { + "epoch": 0.47, + "grad_norm": 1.8686445916569256, + "learning_rate": 1.1554847979704133e-05, + "loss": 1.0387, + "step": 19814 + }, + { + "epoch": 0.47, + "grad_norm": 1.691017851308433, + "learning_rate": 1.1554094214005922e-05, + "loss": 0.8093, + "step": 19815 + }, + { + "epoch": 0.47, + "grad_norm": 1.604592265855881, + "learning_rate": 1.1553340439259287e-05, + "loss": 0.8101, + "step": 19816 + }, + { + "epoch": 0.47, + "grad_norm": 2.201331419097739, + "learning_rate": 1.1552586655468608e-05, + "loss": 0.8346, + "step": 19817 + }, + { + "epoch": 0.47, + "grad_norm": 1.9300418525209906, + "learning_rate": 1.1551832862638282e-05, + "loss": 0.9919, + "step": 19818 + }, + { + "epoch": 0.47, + "grad_norm": 3.6733963859938177, + "learning_rate": 1.1551079060772687e-05, + "loss": 0.8058, + "step": 19819 + }, + { + "epoch": 0.47, + "grad_norm": 1.6741611997904142, + "learning_rate": 1.1550325249876226e-05, + "loss": 0.8686, + "step": 19820 + }, + { + "epoch": 0.47, + "grad_norm": 0.8342853106559043, + "learning_rate": 1.1549571429953276e-05, + "loss": 0.7379, + "step": 19821 + }, + { + "epoch": 0.47, + "grad_norm": 1.8127855117167768, + "learning_rate": 1.1548817601008233e-05, + "loss": 0.9099, + "step": 19822 + }, + { + "epoch": 0.47, + "grad_norm": 1.6591147509506112, + "learning_rate": 1.1548063763045483e-05, + "loss": 0.8859, + "step": 19823 + }, + { + "epoch": 0.47, + "grad_norm": 1.5140101447830012, + "learning_rate": 1.154730991606941e-05, + "loss": 0.9116, + "step": 19824 + }, + { + "epoch": 0.47, + "grad_norm": 0.8106765588389359, + "learning_rate": 1.1546556060084418e-05, + "loss": 0.7641, + "step": 19825 + }, + { + "epoch": 0.47, + "grad_norm": 1.4820505001046331, + "learning_rate": 1.1545802195094879e-05, + "loss": 0.8092, + "step": 19826 + }, + { + "epoch": 0.47, + "grad_norm": 0.7546190978491766, + "learning_rate": 1.1545048321105196e-05, + "loss": 0.7395, + "step": 19827 + }, + { + "epoch": 0.47, + "grad_norm": 1.6259258221894246, + "learning_rate": 1.1544294438119751e-05, + "loss": 0.8766, + "step": 19828 + }, + { + "epoch": 0.47, + "grad_norm": 1.7388026787156696, + "learning_rate": 1.1543540546142934e-05, + "loss": 0.7387, + "step": 19829 + }, + { + "epoch": 0.47, + "grad_norm": 1.7078227881785522, + "learning_rate": 1.1542786645179139e-05, + "loss": 0.8248, + "step": 19830 + }, + { + "epoch": 0.47, + "grad_norm": 2.398422605660684, + "learning_rate": 1.1542032735232746e-05, + "loss": 0.8313, + "step": 19831 + }, + { + "epoch": 0.47, + "grad_norm": 0.7733671038614063, + "learning_rate": 1.1541278816308152e-05, + "loss": 0.7706, + "step": 19832 + }, + { + "epoch": 0.47, + "grad_norm": 1.5849350081473135, + "learning_rate": 1.1540524888409746e-05, + "loss": 0.9104, + "step": 19833 + }, + { + "epoch": 0.47, + "grad_norm": 1.908543708993366, + "learning_rate": 1.1539770951541916e-05, + "loss": 0.8643, + "step": 19834 + }, + { + "epoch": 0.47, + "grad_norm": 1.7813414341193818, + "learning_rate": 1.1539017005709052e-05, + "loss": 0.8157, + "step": 19835 + }, + { + "epoch": 0.47, + "grad_norm": 1.5228615198671227, + "learning_rate": 1.1538263050915543e-05, + "loss": 0.7838, + "step": 19836 + }, + { + "epoch": 0.47, + "grad_norm": 1.6326837100131357, + "learning_rate": 1.1537509087165781e-05, + "loss": 0.7968, + "step": 19837 + }, + { + "epoch": 0.47, + "grad_norm": 1.6941323732624431, + "learning_rate": 1.1536755114464153e-05, + "loss": 0.8897, + "step": 19838 + }, + { + "epoch": 0.47, + "grad_norm": 3.3331984052668115, + "learning_rate": 1.1536001132815051e-05, + "loss": 0.7363, + "step": 19839 + }, + { + "epoch": 0.47, + "grad_norm": 1.6840731820885753, + "learning_rate": 1.1535247142222862e-05, + "loss": 0.7519, + "step": 19840 + }, + { + "epoch": 0.47, + "grad_norm": 1.567846015289599, + "learning_rate": 1.153449314269198e-05, + "loss": 0.9988, + "step": 19841 + }, + { + "epoch": 0.47, + "grad_norm": 1.600914992065981, + "learning_rate": 1.1533739134226797e-05, + "loss": 1.0563, + "step": 19842 + }, + { + "epoch": 0.47, + "grad_norm": 1.9565319798806888, + "learning_rate": 1.1532985116831692e-05, + "loss": 0.8655, + "step": 19843 + }, + { + "epoch": 0.47, + "grad_norm": 1.7719609321139103, + "learning_rate": 1.1532231090511069e-05, + "loss": 0.9716, + "step": 19844 + }, + { + "epoch": 0.47, + "grad_norm": 1.6465354808767183, + "learning_rate": 1.1531477055269305e-05, + "loss": 0.8176, + "step": 19845 + }, + { + "epoch": 0.47, + "grad_norm": 2.1614776718421633, + "learning_rate": 1.15307230111108e-05, + "loss": 0.8644, + "step": 19846 + }, + { + "epoch": 0.47, + "grad_norm": 1.642697753260951, + "learning_rate": 1.152996895803994e-05, + "loss": 0.8749, + "step": 19847 + }, + { + "epoch": 0.47, + "grad_norm": 2.0336458135522473, + "learning_rate": 1.1529214896061118e-05, + "loss": 0.8121, + "step": 19848 + }, + { + "epoch": 0.47, + "grad_norm": 1.4924583762814894, + "learning_rate": 1.152846082517872e-05, + "loss": 0.859, + "step": 19849 + }, + { + "epoch": 0.47, + "grad_norm": 1.5976651617439348, + "learning_rate": 1.1527706745397143e-05, + "loss": 0.8557, + "step": 19850 + }, + { + "epoch": 0.47, + "grad_norm": 1.7412147152035213, + "learning_rate": 1.1526952656720772e-05, + "loss": 0.9616, + "step": 19851 + }, + { + "epoch": 0.47, + "grad_norm": 1.6334713151882239, + "learning_rate": 1.1526198559153998e-05, + "loss": 0.873, + "step": 19852 + }, + { + "epoch": 0.47, + "grad_norm": 2.660743375704743, + "learning_rate": 1.1525444452701213e-05, + "loss": 0.9425, + "step": 19853 + }, + { + "epoch": 0.47, + "grad_norm": 1.5194661063196, + "learning_rate": 1.1524690337366808e-05, + "loss": 0.8363, + "step": 19854 + }, + { + "epoch": 0.47, + "grad_norm": 1.605834106418262, + "learning_rate": 1.1523936213155174e-05, + "loss": 0.8333, + "step": 19855 + }, + { + "epoch": 0.47, + "grad_norm": 1.6194091235318382, + "learning_rate": 1.1523182080070701e-05, + "loss": 0.849, + "step": 19856 + }, + { + "epoch": 0.47, + "grad_norm": 1.6231251349084062, + "learning_rate": 1.1522427938117777e-05, + "loss": 0.8664, + "step": 19857 + }, + { + "epoch": 0.47, + "grad_norm": 1.7405944877350212, + "learning_rate": 1.1521673787300798e-05, + "loss": 0.955, + "step": 19858 + }, + { + "epoch": 0.47, + "grad_norm": 1.4937583204781737, + "learning_rate": 1.1520919627624152e-05, + "loss": 0.8264, + "step": 19859 + }, + { + "epoch": 0.47, + "grad_norm": 1.8151345066239326, + "learning_rate": 1.152016545909223e-05, + "loss": 0.9114, + "step": 19860 + }, + { + "epoch": 0.47, + "grad_norm": 1.635350813767822, + "learning_rate": 1.1519411281709423e-05, + "loss": 0.832, + "step": 19861 + }, + { + "epoch": 0.47, + "grad_norm": 1.535879847368252, + "learning_rate": 1.1518657095480123e-05, + "loss": 0.8325, + "step": 19862 + }, + { + "epoch": 0.47, + "grad_norm": 2.7309232770472267, + "learning_rate": 1.1517902900408722e-05, + "loss": 0.8249, + "step": 19863 + }, + { + "epoch": 0.47, + "grad_norm": 1.879434995895144, + "learning_rate": 1.1517148696499607e-05, + "loss": 0.9004, + "step": 19864 + }, + { + "epoch": 0.47, + "grad_norm": 1.53360220994507, + "learning_rate": 1.1516394483757176e-05, + "loss": 0.97, + "step": 19865 + }, + { + "epoch": 0.47, + "grad_norm": 0.8291091856462809, + "learning_rate": 1.1515640262185813e-05, + "loss": 0.7551, + "step": 19866 + }, + { + "epoch": 0.47, + "grad_norm": 1.7178743930772173, + "learning_rate": 1.1514886031789913e-05, + "loss": 0.831, + "step": 19867 + }, + { + "epoch": 0.47, + "grad_norm": 1.6762869580609192, + "learning_rate": 1.1514131792573865e-05, + "loss": 0.827, + "step": 19868 + }, + { + "epoch": 0.47, + "grad_norm": 1.5217417610333461, + "learning_rate": 1.1513377544542069e-05, + "loss": 0.7581, + "step": 19869 + }, + { + "epoch": 0.47, + "grad_norm": 1.545759985185587, + "learning_rate": 1.1512623287698901e-05, + "loss": 1.0202, + "step": 19870 + }, + { + "epoch": 0.47, + "grad_norm": 0.7903978278387506, + "learning_rate": 1.1511869022048767e-05, + "loss": 0.7647, + "step": 19871 + }, + { + "epoch": 0.47, + "grad_norm": 1.5928398611427284, + "learning_rate": 1.1511114747596052e-05, + "loss": 0.76, + "step": 19872 + }, + { + "epoch": 0.47, + "grad_norm": 2.395653016154856, + "learning_rate": 1.1510360464345147e-05, + "loss": 0.8837, + "step": 19873 + }, + { + "epoch": 0.47, + "grad_norm": 1.7328746480607737, + "learning_rate": 1.1509606172300447e-05, + "loss": 1.0145, + "step": 19874 + }, + { + "epoch": 0.47, + "grad_norm": 0.814820685724862, + "learning_rate": 1.150885187146634e-05, + "loss": 0.8053, + "step": 19875 + }, + { + "epoch": 0.47, + "grad_norm": 1.6036617097474308, + "learning_rate": 1.1508097561847223e-05, + "loss": 0.9078, + "step": 19876 + }, + { + "epoch": 0.47, + "grad_norm": 1.8018809580781943, + "learning_rate": 1.150734324344748e-05, + "loss": 0.9327, + "step": 19877 + }, + { + "epoch": 0.47, + "grad_norm": 1.8166093824388954, + "learning_rate": 1.1506588916271512e-05, + "loss": 0.852, + "step": 19878 + }, + { + "epoch": 0.47, + "grad_norm": 2.2355927607612873, + "learning_rate": 1.1505834580323704e-05, + "loss": 0.7098, + "step": 19879 + }, + { + "epoch": 0.47, + "grad_norm": 1.6816358078163214, + "learning_rate": 1.150508023560845e-05, + "loss": 1.0306, + "step": 19880 + }, + { + "epoch": 0.47, + "grad_norm": 1.62637593969522, + "learning_rate": 1.1504325882130143e-05, + "loss": 0.7996, + "step": 19881 + }, + { + "epoch": 0.47, + "grad_norm": 1.6160401554072181, + "learning_rate": 1.1503571519893175e-05, + "loss": 0.8354, + "step": 19882 + }, + { + "epoch": 0.47, + "grad_norm": 0.8273058687150137, + "learning_rate": 1.1502817148901937e-05, + "loss": 0.7207, + "step": 19883 + }, + { + "epoch": 0.47, + "grad_norm": 1.7162557923115955, + "learning_rate": 1.1502062769160821e-05, + "loss": 0.9105, + "step": 19884 + }, + { + "epoch": 0.47, + "grad_norm": 1.4628717812959375, + "learning_rate": 1.1501308380674221e-05, + "loss": 0.955, + "step": 19885 + }, + { + "epoch": 0.47, + "grad_norm": 1.761429442469679, + "learning_rate": 1.1500553983446527e-05, + "loss": 0.7412, + "step": 19886 + }, + { + "epoch": 0.47, + "grad_norm": 1.6626066813139955, + "learning_rate": 1.1499799577482134e-05, + "loss": 0.727, + "step": 19887 + }, + { + "epoch": 0.47, + "grad_norm": 1.7646745464172577, + "learning_rate": 1.1499045162785434e-05, + "loss": 0.9227, + "step": 19888 + }, + { + "epoch": 0.47, + "grad_norm": 2.086064600214368, + "learning_rate": 1.1498290739360815e-05, + "loss": 0.8792, + "step": 19889 + }, + { + "epoch": 0.47, + "grad_norm": 1.507069043259364, + "learning_rate": 1.1497536307212675e-05, + "loss": 0.915, + "step": 19890 + }, + { + "epoch": 0.47, + "grad_norm": 1.8950106454528861, + "learning_rate": 1.1496781866345406e-05, + "loss": 0.9766, + "step": 19891 + }, + { + "epoch": 0.47, + "grad_norm": 1.953065975921572, + "learning_rate": 1.1496027416763399e-05, + "loss": 0.825, + "step": 19892 + }, + { + "epoch": 0.47, + "grad_norm": 1.5820616277674515, + "learning_rate": 1.1495272958471046e-05, + "loss": 0.8088, + "step": 19893 + }, + { + "epoch": 0.47, + "grad_norm": 0.921919800231232, + "learning_rate": 1.1494518491472738e-05, + "loss": 0.7351, + "step": 19894 + }, + { + "epoch": 0.47, + "grad_norm": 2.2079644673976064, + "learning_rate": 1.1493764015772875e-05, + "loss": 0.9436, + "step": 19895 + }, + { + "epoch": 0.47, + "grad_norm": 1.888842427022826, + "learning_rate": 1.1493009531375838e-05, + "loss": 0.926, + "step": 19896 + }, + { + "epoch": 0.47, + "grad_norm": 1.8567185496508862, + "learning_rate": 1.1492255038286034e-05, + "loss": 0.8291, + "step": 19897 + }, + { + "epoch": 0.47, + "grad_norm": 2.029993491608268, + "learning_rate": 1.1491500536507845e-05, + "loss": 0.8323, + "step": 19898 + }, + { + "epoch": 0.47, + "grad_norm": 3.678803005049328, + "learning_rate": 1.149074602604567e-05, + "loss": 0.8653, + "step": 19899 + }, + { + "epoch": 0.47, + "grad_norm": 2.0953234056236796, + "learning_rate": 1.1489991506903896e-05, + "loss": 0.8676, + "step": 19900 + }, + { + "epoch": 0.47, + "grad_norm": 1.7912803817431955, + "learning_rate": 1.1489236979086922e-05, + "loss": 0.9367, + "step": 19901 + }, + { + "epoch": 0.47, + "grad_norm": 1.827450319230305, + "learning_rate": 1.1488482442599138e-05, + "loss": 0.9252, + "step": 19902 + }, + { + "epoch": 0.47, + "grad_norm": 1.8157080947900361, + "learning_rate": 1.148772789744494e-05, + "loss": 0.8317, + "step": 19903 + }, + { + "epoch": 0.47, + "grad_norm": 1.9552583141016389, + "learning_rate": 1.1486973343628719e-05, + "loss": 0.8884, + "step": 19904 + }, + { + "epoch": 0.47, + "grad_norm": 1.859892690346685, + "learning_rate": 1.1486218781154866e-05, + "loss": 0.8571, + "step": 19905 + }, + { + "epoch": 0.47, + "grad_norm": 1.6008573396229555, + "learning_rate": 1.1485464210027778e-05, + "loss": 0.796, + "step": 19906 + }, + { + "epoch": 0.47, + "grad_norm": 1.4990551212081276, + "learning_rate": 1.1484709630251847e-05, + "loss": 0.9675, + "step": 19907 + }, + { + "epoch": 0.47, + "grad_norm": 1.643769701388465, + "learning_rate": 1.1483955041831465e-05, + "loss": 0.7862, + "step": 19908 + }, + { + "epoch": 0.47, + "grad_norm": 1.5094158047543147, + "learning_rate": 1.148320044477103e-05, + "loss": 0.7506, + "step": 19909 + }, + { + "epoch": 0.47, + "grad_norm": 1.5749496046906164, + "learning_rate": 1.1482445839074929e-05, + "loss": 0.9778, + "step": 19910 + }, + { + "epoch": 0.47, + "grad_norm": 0.763939949572326, + "learning_rate": 1.1481691224747563e-05, + "loss": 0.7511, + "step": 19911 + }, + { + "epoch": 0.47, + "grad_norm": 1.991817898071483, + "learning_rate": 1.1480936601793318e-05, + "loss": 1.117, + "step": 19912 + }, + { + "epoch": 0.47, + "grad_norm": 0.8056248899711882, + "learning_rate": 1.1480181970216593e-05, + "loss": 0.7243, + "step": 19913 + }, + { + "epoch": 0.47, + "grad_norm": 2.2610848103337897, + "learning_rate": 1.1479427330021778e-05, + "loss": 0.7911, + "step": 19914 + }, + { + "epoch": 0.47, + "grad_norm": 0.7304631697527958, + "learning_rate": 1.147867268121327e-05, + "loss": 0.7198, + "step": 19915 + }, + { + "epoch": 0.47, + "grad_norm": 1.5947180687972502, + "learning_rate": 1.1477918023795464e-05, + "loss": 0.863, + "step": 19916 + }, + { + "epoch": 0.47, + "grad_norm": 1.6245489912727666, + "learning_rate": 1.1477163357772747e-05, + "loss": 0.8746, + "step": 19917 + }, + { + "epoch": 0.47, + "grad_norm": 1.8733113870659013, + "learning_rate": 1.1476408683149522e-05, + "loss": 0.8557, + "step": 19918 + }, + { + "epoch": 0.47, + "grad_norm": 1.5755291111816656, + "learning_rate": 1.1475653999930174e-05, + "loss": 0.9414, + "step": 19919 + }, + { + "epoch": 0.47, + "grad_norm": 1.8722009757173612, + "learning_rate": 1.1474899308119105e-05, + "loss": 1.0498, + "step": 19920 + }, + { + "epoch": 0.47, + "grad_norm": 0.7627092090131662, + "learning_rate": 1.1474144607720701e-05, + "loss": 0.7764, + "step": 19921 + }, + { + "epoch": 0.47, + "grad_norm": 2.3177232680605266, + "learning_rate": 1.1473389898739363e-05, + "loss": 0.8343, + "step": 19922 + }, + { + "epoch": 0.47, + "grad_norm": 1.52349314270893, + "learning_rate": 1.1472635181179483e-05, + "loss": 0.8156, + "step": 19923 + }, + { + "epoch": 0.47, + "grad_norm": 1.5430878229046487, + "learning_rate": 1.1471880455045452e-05, + "loss": 0.8993, + "step": 19924 + }, + { + "epoch": 0.47, + "grad_norm": 1.4828294907782003, + "learning_rate": 1.1471125720341671e-05, + "loss": 0.7731, + "step": 19925 + }, + { + "epoch": 0.47, + "grad_norm": 1.5760904835131437, + "learning_rate": 1.1470370977072524e-05, + "loss": 0.8569, + "step": 19926 + }, + { + "epoch": 0.47, + "grad_norm": 1.6453886649571863, + "learning_rate": 1.1469616225242418e-05, + "loss": 0.9843, + "step": 19927 + }, + { + "epoch": 0.47, + "grad_norm": 2.6093161701101075, + "learning_rate": 1.1468861464855738e-05, + "loss": 0.8498, + "step": 19928 + }, + { + "epoch": 0.47, + "grad_norm": 2.322144725573969, + "learning_rate": 1.1468106695916885e-05, + "loss": 0.8487, + "step": 19929 + }, + { + "epoch": 0.47, + "grad_norm": 1.6426506270638894, + "learning_rate": 1.1467351918430248e-05, + "loss": 0.803, + "step": 19930 + }, + { + "epoch": 0.47, + "grad_norm": 1.8738347899423737, + "learning_rate": 1.1466597132400221e-05, + "loss": 0.7647, + "step": 19931 + }, + { + "epoch": 0.47, + "grad_norm": 1.71367711590123, + "learning_rate": 1.1465842337831203e-05, + "loss": 0.9251, + "step": 19932 + }, + { + "epoch": 0.47, + "grad_norm": 1.502216726817472, + "learning_rate": 1.1465087534727587e-05, + "loss": 0.8799, + "step": 19933 + }, + { + "epoch": 0.47, + "grad_norm": 1.695612049210164, + "learning_rate": 1.1464332723093769e-05, + "loss": 0.8208, + "step": 19934 + }, + { + "epoch": 0.47, + "grad_norm": 1.7412214832780835, + "learning_rate": 1.146357790293414e-05, + "loss": 0.7501, + "step": 19935 + }, + { + "epoch": 0.47, + "grad_norm": 1.5182628860651328, + "learning_rate": 1.1462823074253098e-05, + "loss": 1.0128, + "step": 19936 + }, + { + "epoch": 0.47, + "grad_norm": 1.7401271287908164, + "learning_rate": 1.1462068237055037e-05, + "loss": 0.8289, + "step": 19937 + }, + { + "epoch": 0.47, + "grad_norm": 1.6983060816717632, + "learning_rate": 1.146131339134435e-05, + "loss": 0.866, + "step": 19938 + }, + { + "epoch": 0.47, + "grad_norm": 1.4797844914737759, + "learning_rate": 1.1460558537125437e-05, + "loss": 0.8218, + "step": 19939 + }, + { + "epoch": 0.47, + "grad_norm": 0.8199834386415459, + "learning_rate": 1.1459803674402687e-05, + "loss": 0.745, + "step": 19940 + }, + { + "epoch": 0.47, + "grad_norm": 1.5248556071520587, + "learning_rate": 1.14590488031805e-05, + "loss": 0.9162, + "step": 19941 + }, + { + "epoch": 0.47, + "grad_norm": 1.7550628118664964, + "learning_rate": 1.1458293923463269e-05, + "loss": 0.9745, + "step": 19942 + }, + { + "epoch": 0.47, + "grad_norm": 1.6655194265009112, + "learning_rate": 1.1457539035255387e-05, + "loss": 1.0129, + "step": 19943 + }, + { + "epoch": 0.47, + "grad_norm": 0.7463845574971127, + "learning_rate": 1.1456784138561254e-05, + "loss": 0.7165, + "step": 19944 + }, + { + "epoch": 0.47, + "grad_norm": 1.603266930599086, + "learning_rate": 1.1456029233385259e-05, + "loss": 0.9657, + "step": 19945 + }, + { + "epoch": 0.47, + "grad_norm": 0.8124763325636468, + "learning_rate": 1.1455274319731806e-05, + "loss": 0.6619, + "step": 19946 + }, + { + "epoch": 0.47, + "grad_norm": 1.6570155814504726, + "learning_rate": 1.1454519397605279e-05, + "loss": 0.8317, + "step": 19947 + }, + { + "epoch": 0.47, + "grad_norm": 1.5837866709957844, + "learning_rate": 1.1453764467010084e-05, + "loss": 0.9086, + "step": 19948 + }, + { + "epoch": 0.47, + "grad_norm": 1.9842096386055974, + "learning_rate": 1.145300952795061e-05, + "loss": 0.793, + "step": 19949 + }, + { + "epoch": 0.47, + "grad_norm": 1.4191349158266053, + "learning_rate": 1.1452254580431256e-05, + "loss": 0.8747, + "step": 19950 + }, + { + "epoch": 0.47, + "grad_norm": 2.5008200522370654, + "learning_rate": 1.1451499624456415e-05, + "loss": 0.8124, + "step": 19951 + }, + { + "epoch": 0.47, + "grad_norm": 1.4819586118569095, + "learning_rate": 1.1450744660030484e-05, + "loss": 0.8082, + "step": 19952 + }, + { + "epoch": 0.47, + "grad_norm": 1.413200140204025, + "learning_rate": 1.1449989687157859e-05, + "loss": 0.9202, + "step": 19953 + }, + { + "epoch": 0.47, + "grad_norm": 1.442319612758501, + "learning_rate": 1.1449234705842933e-05, + "loss": 0.9441, + "step": 19954 + }, + { + "epoch": 0.47, + "grad_norm": 2.0409448291681263, + "learning_rate": 1.1448479716090103e-05, + "loss": 0.8745, + "step": 19955 + }, + { + "epoch": 0.47, + "grad_norm": 1.4661787909215795, + "learning_rate": 1.144772471790377e-05, + "loss": 0.8705, + "step": 19956 + }, + { + "epoch": 0.47, + "grad_norm": 1.6073714295591224, + "learning_rate": 1.1446969711288322e-05, + "loss": 0.8191, + "step": 19957 + }, + { + "epoch": 0.47, + "grad_norm": 1.8820861409026945, + "learning_rate": 1.144621469624816e-05, + "loss": 0.8268, + "step": 19958 + }, + { + "epoch": 0.47, + "grad_norm": 0.7720681181005424, + "learning_rate": 1.1445459672787676e-05, + "loss": 0.7696, + "step": 19959 + }, + { + "epoch": 0.47, + "grad_norm": 1.9652051276498166, + "learning_rate": 1.144470464091127e-05, + "loss": 0.9212, + "step": 19960 + }, + { + "epoch": 0.47, + "grad_norm": 1.5959612883105967, + "learning_rate": 1.1443949600623334e-05, + "loss": 0.8391, + "step": 19961 + }, + { + "epoch": 0.47, + "grad_norm": 1.844928900368912, + "learning_rate": 1.1443194551928267e-05, + "loss": 0.9387, + "step": 19962 + }, + { + "epoch": 0.47, + "grad_norm": 1.7666859882708683, + "learning_rate": 1.1442439494830467e-05, + "loss": 0.891, + "step": 19963 + }, + { + "epoch": 0.47, + "grad_norm": 1.8813404570842018, + "learning_rate": 1.1441684429334323e-05, + "loss": 0.9405, + "step": 19964 + }, + { + "epoch": 0.47, + "grad_norm": 2.0644597356492156, + "learning_rate": 1.144092935544424e-05, + "loss": 0.9706, + "step": 19965 + }, + { + "epoch": 0.47, + "grad_norm": 1.5339257610759638, + "learning_rate": 1.1440174273164608e-05, + "loss": 0.9267, + "step": 19966 + }, + { + "epoch": 0.47, + "grad_norm": 0.7706333054314414, + "learning_rate": 1.143941918249983e-05, + "loss": 0.6923, + "step": 19967 + }, + { + "epoch": 0.47, + "grad_norm": 1.7134804176477216, + "learning_rate": 1.143866408345429e-05, + "loss": 0.843, + "step": 19968 + }, + { + "epoch": 0.47, + "grad_norm": 1.9484206770995283, + "learning_rate": 1.1437908976032395e-05, + "loss": 0.992, + "step": 19969 + }, + { + "epoch": 0.47, + "grad_norm": 1.4584148733853883, + "learning_rate": 1.1437153860238541e-05, + "loss": 0.8376, + "step": 19970 + }, + { + "epoch": 0.47, + "grad_norm": 1.561141100815188, + "learning_rate": 1.143639873607712e-05, + "loss": 0.758, + "step": 19971 + }, + { + "epoch": 0.47, + "grad_norm": 1.7426914839218812, + "learning_rate": 1.1435643603552532e-05, + "loss": 0.9005, + "step": 19972 + }, + { + "epoch": 0.47, + "grad_norm": 1.675544226309063, + "learning_rate": 1.143488846266917e-05, + "loss": 0.8061, + "step": 19973 + }, + { + "epoch": 0.47, + "grad_norm": 3.462351946197673, + "learning_rate": 1.143413331343144e-05, + "loss": 0.8101, + "step": 19974 + }, + { + "epoch": 0.47, + "grad_norm": 1.6770188937919148, + "learning_rate": 1.1433378155843725e-05, + "loss": 0.8279, + "step": 19975 + }, + { + "epoch": 0.47, + "grad_norm": 1.6874538251711149, + "learning_rate": 1.1432622989910434e-05, + "loss": 0.9099, + "step": 19976 + }, + { + "epoch": 0.47, + "grad_norm": 0.7584831403629017, + "learning_rate": 1.1431867815635951e-05, + "loss": 0.7232, + "step": 19977 + }, + { + "epoch": 0.47, + "grad_norm": 2.0307697768119137, + "learning_rate": 1.1431112633024689e-05, + "loss": 0.8221, + "step": 19978 + }, + { + "epoch": 0.47, + "grad_norm": 1.6895069049843283, + "learning_rate": 1.1430357442081027e-05, + "loss": 1.0128, + "step": 19979 + }, + { + "epoch": 0.47, + "grad_norm": 1.8261435022515087, + "learning_rate": 1.1429602242809379e-05, + "loss": 0.8747, + "step": 19980 + }, + { + "epoch": 0.47, + "grad_norm": 1.7178415681547086, + "learning_rate": 1.142884703521413e-05, + "loss": 0.8283, + "step": 19981 + }, + { + "epoch": 0.47, + "grad_norm": 1.5136241569611573, + "learning_rate": 1.1428091819299683e-05, + "loss": 0.8317, + "step": 19982 + }, + { + "epoch": 0.47, + "grad_norm": 1.5785548073099185, + "learning_rate": 1.142733659507043e-05, + "loss": 0.9278, + "step": 19983 + }, + { + "epoch": 0.47, + "grad_norm": 1.8263174092247962, + "learning_rate": 1.1426581362530775e-05, + "loss": 0.8506, + "step": 19984 + }, + { + "epoch": 0.47, + "grad_norm": 1.681341883937545, + "learning_rate": 1.142582612168511e-05, + "loss": 0.8036, + "step": 19985 + }, + { + "epoch": 0.47, + "grad_norm": 1.5387410912995274, + "learning_rate": 1.1425070872537836e-05, + "loss": 0.9242, + "step": 19986 + }, + { + "epoch": 0.47, + "grad_norm": 1.4764240156351782, + "learning_rate": 1.1424315615093343e-05, + "loss": 0.9296, + "step": 19987 + }, + { + "epoch": 0.47, + "grad_norm": 1.490519893073459, + "learning_rate": 1.142356034935604e-05, + "loss": 0.9603, + "step": 19988 + }, + { + "epoch": 0.47, + "grad_norm": 2.0939696168080584, + "learning_rate": 1.1422805075330315e-05, + "loss": 0.944, + "step": 19989 + }, + { + "epoch": 0.47, + "grad_norm": 1.4653896671525688, + "learning_rate": 1.1422049793020566e-05, + "loss": 0.9722, + "step": 19990 + }, + { + "epoch": 0.47, + "grad_norm": 1.6244349581215107, + "learning_rate": 1.1421294502431197e-05, + "loss": 0.9434, + "step": 19991 + }, + { + "epoch": 0.47, + "grad_norm": 1.6517385100774093, + "learning_rate": 1.1420539203566598e-05, + "loss": 0.9903, + "step": 19992 + }, + { + "epoch": 0.47, + "grad_norm": 1.8281601234507283, + "learning_rate": 1.1419783896431174e-05, + "loss": 0.8425, + "step": 19993 + }, + { + "epoch": 0.47, + "grad_norm": 1.6374955070705033, + "learning_rate": 1.1419028581029315e-05, + "loss": 0.8989, + "step": 19994 + }, + { + "epoch": 0.47, + "grad_norm": 0.7692334902247807, + "learning_rate": 1.1418273257365426e-05, + "loss": 0.7102, + "step": 19995 + }, + { + "epoch": 0.47, + "grad_norm": 0.7247927729957392, + "learning_rate": 1.1417517925443897e-05, + "loss": 0.757, + "step": 19996 + }, + { + "epoch": 0.47, + "grad_norm": 1.7803568790719009, + "learning_rate": 1.1416762585269134e-05, + "loss": 0.8663, + "step": 19997 + }, + { + "epoch": 0.47, + "grad_norm": 1.7041777621751353, + "learning_rate": 1.1416007236845526e-05, + "loss": 0.8192, + "step": 19998 + }, + { + "epoch": 0.47, + "grad_norm": 1.7477839623495661, + "learning_rate": 1.141525188017748e-05, + "loss": 0.9521, + "step": 19999 + }, + { + "epoch": 0.47, + "grad_norm": 1.7533678752685113, + "learning_rate": 1.1414496515269384e-05, + "loss": 0.9968, + "step": 20000 + }, + { + "epoch": 0.47, + "grad_norm": 1.7296365031375314, + "learning_rate": 1.141374114212565e-05, + "loss": 0.8542, + "step": 20001 + }, + { + "epoch": 0.47, + "grad_norm": 1.8331366227252077, + "learning_rate": 1.141298576075066e-05, + "loss": 0.8198, + "step": 20002 + }, + { + "epoch": 0.47, + "grad_norm": 1.9117537788586993, + "learning_rate": 1.1412230371148822e-05, + "loss": 0.8095, + "step": 20003 + }, + { + "epoch": 0.47, + "grad_norm": 1.8298253196761827, + "learning_rate": 1.1411474973324533e-05, + "loss": 0.814, + "step": 20004 + }, + { + "epoch": 0.47, + "grad_norm": 2.9880161575505717, + "learning_rate": 1.1410719567282188e-05, + "loss": 0.8465, + "step": 20005 + }, + { + "epoch": 0.47, + "grad_norm": 1.6385799610298888, + "learning_rate": 1.1409964153026188e-05, + "loss": 0.949, + "step": 20006 + }, + { + "epoch": 0.47, + "grad_norm": 2.5009649828803258, + "learning_rate": 1.1409208730560927e-05, + "loss": 0.7407, + "step": 20007 + }, + { + "epoch": 0.47, + "grad_norm": 1.5225173675053039, + "learning_rate": 1.1408453299890811e-05, + "loss": 0.9711, + "step": 20008 + }, + { + "epoch": 0.47, + "grad_norm": 1.4935195800092884, + "learning_rate": 1.1407697861020232e-05, + "loss": 0.7879, + "step": 20009 + }, + { + "epoch": 0.47, + "grad_norm": 1.5405805554774485, + "learning_rate": 1.1406942413953593e-05, + "loss": 0.8855, + "step": 20010 + }, + { + "epoch": 0.47, + "grad_norm": 1.4878924991134423, + "learning_rate": 1.1406186958695287e-05, + "loss": 0.8571, + "step": 20011 + }, + { + "epoch": 0.47, + "grad_norm": 1.7696430704876878, + "learning_rate": 1.1405431495249714e-05, + "loss": 0.8543, + "step": 20012 + }, + { + "epoch": 0.47, + "grad_norm": 1.9143618205646988, + "learning_rate": 1.1404676023621278e-05, + "loss": 1.0152, + "step": 20013 + }, + { + "epoch": 0.47, + "grad_norm": 1.5558285266125655, + "learning_rate": 1.140392054381437e-05, + "loss": 0.8471, + "step": 20014 + }, + { + "epoch": 0.47, + "grad_norm": 1.7309955746310002, + "learning_rate": 1.1403165055833394e-05, + "loss": 0.8744, + "step": 20015 + }, + { + "epoch": 0.47, + "grad_norm": 1.6084504693961648, + "learning_rate": 1.1402409559682748e-05, + "loss": 1.0134, + "step": 20016 + }, + { + "epoch": 0.47, + "grad_norm": 1.6782651675235194, + "learning_rate": 1.1401654055366826e-05, + "loss": 0.8605, + "step": 20017 + }, + { + "epoch": 0.47, + "grad_norm": 1.5116084129436014, + "learning_rate": 1.1400898542890034e-05, + "loss": 0.9515, + "step": 20018 + }, + { + "epoch": 0.47, + "grad_norm": 0.7604636877428205, + "learning_rate": 1.1400143022256764e-05, + "loss": 0.7237, + "step": 20019 + }, + { + "epoch": 0.47, + "grad_norm": 1.4428698831398237, + "learning_rate": 1.139938749347142e-05, + "loss": 0.8841, + "step": 20020 + }, + { + "epoch": 0.47, + "grad_norm": 1.600859487406543, + "learning_rate": 1.1398631956538398e-05, + "loss": 0.8209, + "step": 20021 + }, + { + "epoch": 0.47, + "grad_norm": 1.642356964688881, + "learning_rate": 1.1397876411462096e-05, + "loss": 0.9642, + "step": 20022 + }, + { + "epoch": 0.47, + "grad_norm": 2.9037701282836856, + "learning_rate": 1.1397120858246921e-05, + "loss": 0.8956, + "step": 20023 + }, + { + "epoch": 0.47, + "grad_norm": 1.6469630955347354, + "learning_rate": 1.139636529689726e-05, + "loss": 0.9166, + "step": 20024 + }, + { + "epoch": 0.47, + "grad_norm": 1.8734762944415349, + "learning_rate": 1.1395609727417522e-05, + "loss": 0.946, + "step": 20025 + }, + { + "epoch": 0.47, + "grad_norm": 1.771732063678891, + "learning_rate": 1.13948541498121e-05, + "loss": 0.8593, + "step": 20026 + }, + { + "epoch": 0.47, + "grad_norm": 1.5020952168369963, + "learning_rate": 1.1394098564085399e-05, + "loss": 0.881, + "step": 20027 + }, + { + "epoch": 0.47, + "grad_norm": 1.6515122154465023, + "learning_rate": 1.1393342970241809e-05, + "loss": 0.9593, + "step": 20028 + }, + { + "epoch": 0.47, + "grad_norm": 1.6054069863811458, + "learning_rate": 1.139258736828574e-05, + "loss": 0.7784, + "step": 20029 + }, + { + "epoch": 0.47, + "grad_norm": 1.474499900216771, + "learning_rate": 1.1391831758221585e-05, + "loss": 0.7922, + "step": 20030 + }, + { + "epoch": 0.47, + "grad_norm": 0.7409125651312657, + "learning_rate": 1.1391076140053745e-05, + "loss": 0.6856, + "step": 20031 + }, + { + "epoch": 0.47, + "grad_norm": 1.736506878442236, + "learning_rate": 1.139032051378662e-05, + "loss": 0.8371, + "step": 20032 + }, + { + "epoch": 0.47, + "grad_norm": 0.7450548834331712, + "learning_rate": 1.1389564879424605e-05, + "loss": 0.7102, + "step": 20033 + }, + { + "epoch": 0.47, + "grad_norm": 1.7165268383818106, + "learning_rate": 1.1388809236972107e-05, + "loss": 0.9252, + "step": 20034 + }, + { + "epoch": 0.47, + "grad_norm": 1.5966769700544896, + "learning_rate": 1.138805358643352e-05, + "loss": 0.8408, + "step": 20035 + }, + { + "epoch": 0.47, + "grad_norm": 1.8199816109863345, + "learning_rate": 1.1387297927813248e-05, + "loss": 0.8653, + "step": 20036 + }, + { + "epoch": 0.47, + "grad_norm": 3.104066051210151, + "learning_rate": 1.1386542261115685e-05, + "loss": 0.8163, + "step": 20037 + }, + { + "epoch": 0.47, + "grad_norm": 1.7947298663326674, + "learning_rate": 1.1385786586345238e-05, + "loss": 0.843, + "step": 20038 + }, + { + "epoch": 0.47, + "grad_norm": 1.9332426164007457, + "learning_rate": 1.13850309035063e-05, + "loss": 0.9498, + "step": 20039 + }, + { + "epoch": 0.47, + "grad_norm": 2.7713774824989135, + "learning_rate": 1.1384275212603273e-05, + "loss": 0.7837, + "step": 20040 + }, + { + "epoch": 0.47, + "grad_norm": 1.7436995309286976, + "learning_rate": 1.138351951364056e-05, + "loss": 0.768, + "step": 20041 + }, + { + "epoch": 0.47, + "grad_norm": 1.584106132375453, + "learning_rate": 1.1382763806622556e-05, + "loss": 0.965, + "step": 20042 + }, + { + "epoch": 0.47, + "grad_norm": 1.6064690157517036, + "learning_rate": 1.1382008091553664e-05, + "loss": 0.8961, + "step": 20043 + }, + { + "epoch": 0.47, + "grad_norm": 1.6358175904416696, + "learning_rate": 1.1381252368438283e-05, + "loss": 0.8016, + "step": 20044 + }, + { + "epoch": 0.47, + "grad_norm": 1.7983801538401827, + "learning_rate": 1.1380496637280816e-05, + "loss": 0.759, + "step": 20045 + }, + { + "epoch": 0.47, + "grad_norm": 1.6165256658757576, + "learning_rate": 1.1379740898085657e-05, + "loss": 0.7824, + "step": 20046 + }, + { + "epoch": 0.47, + "grad_norm": 2.399369017656001, + "learning_rate": 1.1378985150857211e-05, + "loss": 0.8948, + "step": 20047 + }, + { + "epoch": 0.47, + "grad_norm": 2.321604114482079, + "learning_rate": 1.137822939559988e-05, + "loss": 0.9997, + "step": 20048 + }, + { + "epoch": 0.47, + "grad_norm": 1.4484461779280453, + "learning_rate": 1.1377473632318057e-05, + "loss": 0.8611, + "step": 20049 + }, + { + "epoch": 0.47, + "grad_norm": 1.749193218531454, + "learning_rate": 1.1376717861016149e-05, + "loss": 0.9705, + "step": 20050 + }, + { + "epoch": 0.47, + "grad_norm": 1.6448830082670696, + "learning_rate": 1.137596208169855e-05, + "loss": 0.9306, + "step": 20051 + }, + { + "epoch": 0.47, + "grad_norm": 1.8087735329396828, + "learning_rate": 1.1375206294369669e-05, + "loss": 0.8711, + "step": 20052 + }, + { + "epoch": 0.47, + "grad_norm": 2.1883310866778625, + "learning_rate": 1.1374450499033898e-05, + "loss": 0.9143, + "step": 20053 + }, + { + "epoch": 0.47, + "grad_norm": 1.5154454039634013, + "learning_rate": 1.1373694695695644e-05, + "loss": 1.0292, + "step": 20054 + }, + { + "epoch": 0.47, + "grad_norm": 1.4875158534878734, + "learning_rate": 1.1372938884359302e-05, + "loss": 0.7863, + "step": 20055 + }, + { + "epoch": 0.47, + "grad_norm": 2.094371725210933, + "learning_rate": 1.1372183065029273e-05, + "loss": 0.9108, + "step": 20056 + }, + { + "epoch": 0.47, + "grad_norm": 1.499714284175747, + "learning_rate": 1.1371427237709964e-05, + "loss": 0.9396, + "step": 20057 + }, + { + "epoch": 0.47, + "grad_norm": 1.8107882943659468, + "learning_rate": 1.1370671402405768e-05, + "loss": 0.8837, + "step": 20058 + }, + { + "epoch": 0.47, + "grad_norm": 1.5277157639184853, + "learning_rate": 1.1369915559121094e-05, + "loss": 0.8838, + "step": 20059 + }, + { + "epoch": 0.47, + "grad_norm": 1.8736542512752126, + "learning_rate": 1.1369159707860336e-05, + "loss": 0.9176, + "step": 20060 + }, + { + "epoch": 0.47, + "grad_norm": 1.9018725072467206, + "learning_rate": 1.1368403848627896e-05, + "loss": 0.885, + "step": 20061 + }, + { + "epoch": 0.47, + "grad_norm": 1.544246300510382, + "learning_rate": 1.1367647981428173e-05, + "loss": 0.8583, + "step": 20062 + }, + { + "epoch": 0.47, + "grad_norm": 1.5952085176540376, + "learning_rate": 1.1366892106265575e-05, + "loss": 1.0079, + "step": 20063 + }, + { + "epoch": 0.47, + "grad_norm": 1.6506691272524887, + "learning_rate": 1.1366136223144495e-05, + "loss": 0.842, + "step": 20064 + }, + { + "epoch": 0.47, + "grad_norm": 1.5036505490295462, + "learning_rate": 1.136538033206934e-05, + "loss": 1.0066, + "step": 20065 + }, + { + "epoch": 0.47, + "grad_norm": 1.4628375343625584, + "learning_rate": 1.1364624433044507e-05, + "loss": 0.9272, + "step": 20066 + }, + { + "epoch": 0.47, + "grad_norm": 5.677023400493113, + "learning_rate": 1.1363868526074397e-05, + "loss": 0.8346, + "step": 20067 + }, + { + "epoch": 0.47, + "grad_norm": 1.8237168946073794, + "learning_rate": 1.1363112611163415e-05, + "loss": 0.8067, + "step": 20068 + }, + { + "epoch": 0.47, + "grad_norm": 0.7692399217244075, + "learning_rate": 1.1362356688315959e-05, + "loss": 0.7384, + "step": 20069 + }, + { + "epoch": 0.47, + "grad_norm": 1.5250557756783252, + "learning_rate": 1.136160075753643e-05, + "loss": 0.9488, + "step": 20070 + }, + { + "epoch": 0.47, + "grad_norm": 0.7565090398297513, + "learning_rate": 1.1360844818829234e-05, + "loss": 0.7192, + "step": 20071 + }, + { + "epoch": 0.47, + "grad_norm": 1.5048537485342672, + "learning_rate": 1.1360088872198764e-05, + "loss": 0.9293, + "step": 20072 + }, + { + "epoch": 0.47, + "grad_norm": 1.5453369955324432, + "learning_rate": 1.1359332917649427e-05, + "loss": 0.7504, + "step": 20073 + }, + { + "epoch": 0.47, + "grad_norm": 1.4916223831257722, + "learning_rate": 1.135857695518563e-05, + "loss": 0.8469, + "step": 20074 + }, + { + "epoch": 0.47, + "grad_norm": 1.574320923114633, + "learning_rate": 1.1357820984811758e-05, + "loss": 0.8186, + "step": 20075 + }, + { + "epoch": 0.47, + "grad_norm": 2.149237975028731, + "learning_rate": 1.135706500653223e-05, + "loss": 0.7986, + "step": 20076 + }, + { + "epoch": 0.47, + "grad_norm": 1.8790010312934544, + "learning_rate": 1.1356309020351435e-05, + "loss": 0.9788, + "step": 20077 + }, + { + "epoch": 0.47, + "grad_norm": 1.6385229591359318, + "learning_rate": 1.1355553026273783e-05, + "loss": 0.9246, + "step": 20078 + }, + { + "epoch": 0.47, + "grad_norm": 1.698034784175329, + "learning_rate": 1.1354797024303668e-05, + "loss": 0.9833, + "step": 20079 + }, + { + "epoch": 0.47, + "grad_norm": 1.6509736933895365, + "learning_rate": 1.1354041014445499e-05, + "loss": 0.9524, + "step": 20080 + }, + { + "epoch": 0.47, + "grad_norm": 1.730523280596124, + "learning_rate": 1.1353284996703672e-05, + "loss": 0.9076, + "step": 20081 + }, + { + "epoch": 0.47, + "grad_norm": 1.550472856545373, + "learning_rate": 1.1352528971082594e-05, + "loss": 0.94, + "step": 20082 + }, + { + "epoch": 0.47, + "grad_norm": 1.4617618330709354, + "learning_rate": 1.1351772937586663e-05, + "loss": 0.9379, + "step": 20083 + }, + { + "epoch": 0.47, + "grad_norm": 1.740779892805053, + "learning_rate": 1.1351016896220282e-05, + "loss": 1.0183, + "step": 20084 + }, + { + "epoch": 0.47, + "grad_norm": 1.98944192846243, + "learning_rate": 1.1350260846987852e-05, + "loss": 0.8152, + "step": 20085 + }, + { + "epoch": 0.47, + "grad_norm": 1.5348094983741944, + "learning_rate": 1.1349504789893776e-05, + "loss": 0.8581, + "step": 20086 + }, + { + "epoch": 0.47, + "grad_norm": 1.5450974669359503, + "learning_rate": 1.1348748724942458e-05, + "loss": 0.7117, + "step": 20087 + }, + { + "epoch": 0.47, + "grad_norm": 1.5644482770364276, + "learning_rate": 1.1347992652138298e-05, + "loss": 1.0009, + "step": 20088 + }, + { + "epoch": 0.47, + "grad_norm": 1.8224050031191825, + "learning_rate": 1.1347236571485696e-05, + "loss": 0.6924, + "step": 20089 + }, + { + "epoch": 0.47, + "grad_norm": 1.4743250342396963, + "learning_rate": 1.1346480482989055e-05, + "loss": 0.7037, + "step": 20090 + }, + { + "epoch": 0.47, + "grad_norm": 0.7489121937027494, + "learning_rate": 1.1345724386652781e-05, + "loss": 0.7314, + "step": 20091 + }, + { + "epoch": 0.47, + "grad_norm": 1.709498380508593, + "learning_rate": 1.1344968282481273e-05, + "loss": 0.944, + "step": 20092 + }, + { + "epoch": 0.47, + "grad_norm": 2.5676580093997843, + "learning_rate": 1.1344212170478932e-05, + "loss": 0.8863, + "step": 20093 + }, + { + "epoch": 0.47, + "grad_norm": 1.6331554591243502, + "learning_rate": 1.1343456050650163e-05, + "loss": 0.9082, + "step": 20094 + }, + { + "epoch": 0.47, + "grad_norm": 1.4673916904187754, + "learning_rate": 1.134269992299937e-05, + "loss": 0.9864, + "step": 20095 + }, + { + "epoch": 0.47, + "grad_norm": 1.5752291914268461, + "learning_rate": 1.1341943787530951e-05, + "loss": 0.8556, + "step": 20096 + }, + { + "epoch": 0.47, + "grad_norm": 1.4923164346650186, + "learning_rate": 1.1341187644249311e-05, + "loss": 0.9574, + "step": 20097 + }, + { + "epoch": 0.47, + "grad_norm": 1.4993228815187747, + "learning_rate": 1.134043149315885e-05, + "loss": 0.8236, + "step": 20098 + }, + { + "epoch": 0.47, + "grad_norm": 2.681795930595709, + "learning_rate": 1.1339675334263976e-05, + "loss": 0.8301, + "step": 20099 + }, + { + "epoch": 0.47, + "grad_norm": 1.7290860945568989, + "learning_rate": 1.1338919167569085e-05, + "loss": 0.846, + "step": 20100 + }, + { + "epoch": 0.47, + "grad_norm": 1.9632661662010196, + "learning_rate": 1.1338162993078585e-05, + "loss": 0.9757, + "step": 20101 + }, + { + "epoch": 0.47, + "grad_norm": 1.634509311930549, + "learning_rate": 1.1337406810796872e-05, + "loss": 0.8888, + "step": 20102 + }, + { + "epoch": 0.47, + "grad_norm": 1.8489741697823894, + "learning_rate": 1.133665062072836e-05, + "loss": 0.8184, + "step": 20103 + }, + { + "epoch": 0.47, + "grad_norm": 1.591474704194511, + "learning_rate": 1.1335894422877441e-05, + "loss": 0.982, + "step": 20104 + }, + { + "epoch": 0.47, + "grad_norm": 1.5584095201266763, + "learning_rate": 1.1335138217248518e-05, + "loss": 0.8907, + "step": 20105 + }, + { + "epoch": 0.47, + "grad_norm": 3.2511810773021073, + "learning_rate": 1.1334382003846006e-05, + "loss": 0.8315, + "step": 20106 + }, + { + "epoch": 0.47, + "grad_norm": 1.958494726424024, + "learning_rate": 1.133362578267429e-05, + "loss": 0.9224, + "step": 20107 + }, + { + "epoch": 0.47, + "grad_norm": 1.2074984422531998, + "learning_rate": 1.133286955373779e-05, + "loss": 0.7187, + "step": 20108 + }, + { + "epoch": 0.47, + "grad_norm": 1.703155728395006, + "learning_rate": 1.1332113317040898e-05, + "loss": 0.9427, + "step": 20109 + }, + { + "epoch": 0.47, + "grad_norm": 1.5889437569615816, + "learning_rate": 1.1331357072588024e-05, + "loss": 0.9273, + "step": 20110 + }, + { + "epoch": 0.47, + "grad_norm": 1.550379068281583, + "learning_rate": 1.1330600820383564e-05, + "loss": 0.8894, + "step": 20111 + }, + { + "epoch": 0.47, + "grad_norm": 0.7725381687689584, + "learning_rate": 1.1329844560431926e-05, + "loss": 0.7264, + "step": 20112 + }, + { + "epoch": 0.47, + "grad_norm": 1.584398318807647, + "learning_rate": 1.132908829273751e-05, + "loss": 0.9628, + "step": 20113 + }, + { + "epoch": 0.47, + "grad_norm": 1.7423019890929974, + "learning_rate": 1.1328332017304724e-05, + "loss": 0.9571, + "step": 20114 + }, + { + "epoch": 0.47, + "grad_norm": 1.92375252527954, + "learning_rate": 1.1327575734137968e-05, + "loss": 0.8689, + "step": 20115 + }, + { + "epoch": 0.47, + "grad_norm": 1.6194307911510517, + "learning_rate": 1.1326819443241645e-05, + "loss": 0.901, + "step": 20116 + }, + { + "epoch": 0.47, + "grad_norm": 1.7314156496565776, + "learning_rate": 1.1326063144620158e-05, + "loss": 0.905, + "step": 20117 + }, + { + "epoch": 0.47, + "grad_norm": 1.751105847947157, + "learning_rate": 1.1325306838277914e-05, + "loss": 0.7904, + "step": 20118 + }, + { + "epoch": 0.47, + "grad_norm": 1.6645970643213364, + "learning_rate": 1.1324550524219313e-05, + "loss": 0.9323, + "step": 20119 + }, + { + "epoch": 0.47, + "grad_norm": 2.0941162064067824, + "learning_rate": 1.1323794202448759e-05, + "loss": 0.9427, + "step": 20120 + }, + { + "epoch": 0.47, + "grad_norm": 0.7696381351869709, + "learning_rate": 1.1323037872970657e-05, + "loss": 0.7069, + "step": 20121 + }, + { + "epoch": 0.47, + "grad_norm": 4.899951815854348, + "learning_rate": 1.1322281535789408e-05, + "loss": 0.8142, + "step": 20122 + }, + { + "epoch": 0.47, + "grad_norm": 1.972266783086978, + "learning_rate": 1.1321525190909419e-05, + "loss": 0.9748, + "step": 20123 + }, + { + "epoch": 0.47, + "grad_norm": 1.6811996075607483, + "learning_rate": 1.1320768838335092e-05, + "loss": 0.8328, + "step": 20124 + }, + { + "epoch": 0.47, + "grad_norm": 2.703513193047584, + "learning_rate": 1.1320012478070831e-05, + "loss": 0.9728, + "step": 20125 + }, + { + "epoch": 0.47, + "grad_norm": 1.5968479442237773, + "learning_rate": 1.1319256110121036e-05, + "loss": 0.743, + "step": 20126 + }, + { + "epoch": 0.47, + "grad_norm": 1.6500616684101823, + "learning_rate": 1.131849973449012e-05, + "loss": 0.9191, + "step": 20127 + }, + { + "epoch": 0.47, + "grad_norm": 2.180390646554525, + "learning_rate": 1.1317743351182475e-05, + "loss": 0.7733, + "step": 20128 + }, + { + "epoch": 0.47, + "grad_norm": 0.7324344175576106, + "learning_rate": 1.1316986960202516e-05, + "loss": 0.6922, + "step": 20129 + }, + { + "epoch": 0.47, + "grad_norm": 2.0577936424126406, + "learning_rate": 1.1316230561554637e-05, + "loss": 0.8878, + "step": 20130 + }, + { + "epoch": 0.47, + "grad_norm": 1.7731223701433219, + "learning_rate": 1.131547415524325e-05, + "loss": 0.928, + "step": 20131 + }, + { + "epoch": 0.47, + "grad_norm": 1.7160018085259847, + "learning_rate": 1.1314717741272757e-05, + "loss": 0.9865, + "step": 20132 + }, + { + "epoch": 0.47, + "grad_norm": 2.1679934206919573, + "learning_rate": 1.1313961319647561e-05, + "loss": 0.9665, + "step": 20133 + }, + { + "epoch": 0.47, + "grad_norm": 1.577936184279289, + "learning_rate": 1.1313204890372065e-05, + "loss": 0.8116, + "step": 20134 + }, + { + "epoch": 0.47, + "grad_norm": 1.5083181515527329, + "learning_rate": 1.1312448453450672e-05, + "loss": 0.824, + "step": 20135 + }, + { + "epoch": 0.47, + "grad_norm": 0.8070909848697393, + "learning_rate": 1.1311692008887793e-05, + "loss": 0.7092, + "step": 20136 + }, + { + "epoch": 0.47, + "grad_norm": 0.8152945184462165, + "learning_rate": 1.1310935556687825e-05, + "loss": 0.7821, + "step": 20137 + }, + { + "epoch": 0.47, + "grad_norm": 1.38460080149644, + "learning_rate": 1.1310179096855176e-05, + "loss": 0.9062, + "step": 20138 + }, + { + "epoch": 0.47, + "grad_norm": 1.6324047763353833, + "learning_rate": 1.1309422629394251e-05, + "loss": 0.8593, + "step": 20139 + }, + { + "epoch": 0.47, + "grad_norm": 2.487647479536861, + "learning_rate": 1.1308666154309451e-05, + "loss": 0.9153, + "step": 20140 + }, + { + "epoch": 0.47, + "grad_norm": 1.6469860320929262, + "learning_rate": 1.1307909671605182e-05, + "loss": 0.8184, + "step": 20141 + }, + { + "epoch": 0.47, + "grad_norm": 1.8035700997959174, + "learning_rate": 1.1307153181285848e-05, + "loss": 0.9488, + "step": 20142 + }, + { + "epoch": 0.47, + "grad_norm": 1.6503393364165666, + "learning_rate": 1.1306396683355858e-05, + "loss": 0.868, + "step": 20143 + }, + { + "epoch": 0.47, + "grad_norm": 1.4061393420445703, + "learning_rate": 1.130564017781961e-05, + "loss": 0.8637, + "step": 20144 + }, + { + "epoch": 0.47, + "grad_norm": 1.7794351121351628, + "learning_rate": 1.1304883664681512e-05, + "loss": 0.6663, + "step": 20145 + }, + { + "epoch": 0.47, + "grad_norm": 1.6682756483116352, + "learning_rate": 1.1304127143945971e-05, + "loss": 0.7994, + "step": 20146 + }, + { + "epoch": 0.47, + "grad_norm": 1.8756442283254826, + "learning_rate": 1.1303370615617384e-05, + "loss": 0.8185, + "step": 20147 + }, + { + "epoch": 0.47, + "grad_norm": 1.5741282669942045, + "learning_rate": 1.1302614079700165e-05, + "loss": 0.8098, + "step": 20148 + }, + { + "epoch": 0.47, + "grad_norm": 1.6242082088069565, + "learning_rate": 1.130185753619871e-05, + "loss": 0.7757, + "step": 20149 + }, + { + "epoch": 0.47, + "grad_norm": 1.9389695866288292, + "learning_rate": 1.1301100985117433e-05, + "loss": 0.7746, + "step": 20150 + }, + { + "epoch": 0.47, + "grad_norm": 1.6021527163193985, + "learning_rate": 1.130034442646073e-05, + "loss": 0.8501, + "step": 20151 + }, + { + "epoch": 0.47, + "grad_norm": 1.9572312809957033, + "learning_rate": 1.1299587860233014e-05, + "loss": 0.8859, + "step": 20152 + }, + { + "epoch": 0.47, + "grad_norm": 3.0189781633647406, + "learning_rate": 1.1298831286438683e-05, + "loss": 0.9974, + "step": 20153 + }, + { + "epoch": 0.47, + "grad_norm": 1.5032956802888402, + "learning_rate": 1.1298074705082145e-05, + "loss": 0.9385, + "step": 20154 + }, + { + "epoch": 0.47, + "grad_norm": 1.52959800214092, + "learning_rate": 1.1297318116167808e-05, + "loss": 0.7743, + "step": 20155 + }, + { + "epoch": 0.47, + "grad_norm": 4.431935940144541, + "learning_rate": 1.129656151970007e-05, + "loss": 0.8286, + "step": 20156 + }, + { + "epoch": 0.47, + "grad_norm": 1.5883982149592863, + "learning_rate": 1.1295804915683343e-05, + "loss": 0.9742, + "step": 20157 + }, + { + "epoch": 0.47, + "grad_norm": 1.8439217775880836, + "learning_rate": 1.1295048304122029e-05, + "loss": 0.9378, + "step": 20158 + }, + { + "epoch": 0.47, + "grad_norm": 1.549612431253319, + "learning_rate": 1.1294291685020535e-05, + "loss": 0.8536, + "step": 20159 + }, + { + "epoch": 0.47, + "grad_norm": 1.920010729523101, + "learning_rate": 1.1293535058383262e-05, + "loss": 0.9471, + "step": 20160 + }, + { + "epoch": 0.47, + "grad_norm": 1.5267704309875287, + "learning_rate": 1.1292778424214623e-05, + "loss": 0.9418, + "step": 20161 + }, + { + "epoch": 0.48, + "grad_norm": 2.116293100068908, + "learning_rate": 1.1292021782519015e-05, + "loss": 0.8609, + "step": 20162 + }, + { + "epoch": 0.48, + "grad_norm": 1.6288085791438423, + "learning_rate": 1.1291265133300849e-05, + "loss": 0.9906, + "step": 20163 + }, + { + "epoch": 0.48, + "grad_norm": 1.4994728025451771, + "learning_rate": 1.1290508476564528e-05, + "loss": 0.8734, + "step": 20164 + }, + { + "epoch": 0.48, + "grad_norm": 1.538263939574793, + "learning_rate": 1.1289751812314458e-05, + "loss": 0.8144, + "step": 20165 + }, + { + "epoch": 0.48, + "grad_norm": 0.7557786667529235, + "learning_rate": 1.1288995140555044e-05, + "loss": 0.6986, + "step": 20166 + }, + { + "epoch": 0.48, + "grad_norm": 2.1121503062968916, + "learning_rate": 1.1288238461290693e-05, + "loss": 0.9618, + "step": 20167 + }, + { + "epoch": 0.48, + "grad_norm": 1.969123826542206, + "learning_rate": 1.128748177452581e-05, + "loss": 0.89, + "step": 20168 + }, + { + "epoch": 0.48, + "grad_norm": 0.7603289808140934, + "learning_rate": 1.12867250802648e-05, + "loss": 0.7743, + "step": 20169 + }, + { + "epoch": 0.48, + "grad_norm": 0.7904240650535407, + "learning_rate": 1.1285968378512069e-05, + "loss": 0.6942, + "step": 20170 + }, + { + "epoch": 0.48, + "grad_norm": 1.8524578977652948, + "learning_rate": 1.1285211669272023e-05, + "loss": 0.889, + "step": 20171 + }, + { + "epoch": 0.48, + "grad_norm": 0.7598058830977842, + "learning_rate": 1.1284454952549067e-05, + "loss": 0.7461, + "step": 20172 + }, + { + "epoch": 0.48, + "grad_norm": 2.350011248211703, + "learning_rate": 1.1283698228347609e-05, + "loss": 0.7906, + "step": 20173 + }, + { + "epoch": 0.48, + "grad_norm": 2.080060087129128, + "learning_rate": 1.1282941496672053e-05, + "loss": 0.9127, + "step": 20174 + }, + { + "epoch": 0.48, + "grad_norm": 5.5925662280168185, + "learning_rate": 1.1282184757526806e-05, + "loss": 0.8802, + "step": 20175 + }, + { + "epoch": 0.48, + "grad_norm": 1.9047117566586191, + "learning_rate": 1.1281428010916276e-05, + "loss": 0.9109, + "step": 20176 + }, + { + "epoch": 0.48, + "grad_norm": 1.5550820631566904, + "learning_rate": 1.128067125684486e-05, + "loss": 0.8909, + "step": 20177 + }, + { + "epoch": 0.48, + "grad_norm": 1.9820990144500115, + "learning_rate": 1.1279914495316975e-05, + "loss": 0.9374, + "step": 20178 + }, + { + "epoch": 0.48, + "grad_norm": 1.4952660496388908, + "learning_rate": 1.127915772633702e-05, + "loss": 0.7989, + "step": 20179 + }, + { + "epoch": 0.48, + "grad_norm": 1.686688104031446, + "learning_rate": 1.1278400949909407e-05, + "loss": 0.8368, + "step": 20180 + }, + { + "epoch": 0.48, + "grad_norm": 1.4417723141640195, + "learning_rate": 1.1277644166038535e-05, + "loss": 0.8956, + "step": 20181 + }, + { + "epoch": 0.48, + "grad_norm": 1.8335234983005118, + "learning_rate": 1.127688737472882e-05, + "loss": 0.9521, + "step": 20182 + }, + { + "epoch": 0.48, + "grad_norm": 1.657927095662369, + "learning_rate": 1.1276130575984658e-05, + "loss": 0.7676, + "step": 20183 + }, + { + "epoch": 0.48, + "grad_norm": 1.7275384829971976, + "learning_rate": 1.1275373769810461e-05, + "loss": 0.7948, + "step": 20184 + }, + { + "epoch": 0.48, + "grad_norm": 1.371098638060373, + "learning_rate": 1.1274616956210633e-05, + "loss": 0.8898, + "step": 20185 + }, + { + "epoch": 0.48, + "grad_norm": 2.06402840609793, + "learning_rate": 1.1273860135189583e-05, + "loss": 0.8615, + "step": 20186 + }, + { + "epoch": 0.48, + "grad_norm": 1.7417583012405338, + "learning_rate": 1.1273103306751713e-05, + "loss": 0.6729, + "step": 20187 + }, + { + "epoch": 0.48, + "grad_norm": 0.846237432544169, + "learning_rate": 1.1272346470901436e-05, + "loss": 0.6726, + "step": 20188 + }, + { + "epoch": 0.48, + "grad_norm": 1.7559394304011187, + "learning_rate": 1.1271589627643154e-05, + "loss": 0.8533, + "step": 20189 + }, + { + "epoch": 0.48, + "grad_norm": 1.456491567059257, + "learning_rate": 1.1270832776981272e-05, + "loss": 0.927, + "step": 20190 + }, + { + "epoch": 0.48, + "grad_norm": 1.7363329104786944, + "learning_rate": 1.1270075918920202e-05, + "loss": 0.8157, + "step": 20191 + }, + { + "epoch": 0.48, + "grad_norm": 1.5737965309102726, + "learning_rate": 1.126931905346435e-05, + "loss": 0.7104, + "step": 20192 + }, + { + "epoch": 0.48, + "grad_norm": 1.9448543179947386, + "learning_rate": 1.1268562180618116e-05, + "loss": 0.8107, + "step": 20193 + }, + { + "epoch": 0.48, + "grad_norm": 1.8762608802119753, + "learning_rate": 1.1267805300385914e-05, + "loss": 0.8899, + "step": 20194 + }, + { + "epoch": 0.48, + "grad_norm": 0.8217161396128159, + "learning_rate": 1.1267048412772147e-05, + "loss": 0.7582, + "step": 20195 + }, + { + "epoch": 0.48, + "grad_norm": 2.741109677902333, + "learning_rate": 1.1266291517781225e-05, + "loss": 0.8609, + "step": 20196 + }, + { + "epoch": 0.48, + "grad_norm": 0.7534460626031907, + "learning_rate": 1.1265534615417553e-05, + "loss": 0.7176, + "step": 20197 + }, + { + "epoch": 0.48, + "grad_norm": 1.548612090994168, + "learning_rate": 1.1264777705685535e-05, + "loss": 0.9287, + "step": 20198 + }, + { + "epoch": 0.48, + "grad_norm": 1.681844652994417, + "learning_rate": 1.1264020788589582e-05, + "loss": 0.8479, + "step": 20199 + }, + { + "epoch": 0.48, + "grad_norm": 1.7518913114508987, + "learning_rate": 1.12632638641341e-05, + "loss": 0.8722, + "step": 20200 + }, + { + "epoch": 0.48, + "grad_norm": 1.652140812045073, + "learning_rate": 1.1262506932323496e-05, + "loss": 0.8755, + "step": 20201 + }, + { + "epoch": 0.48, + "grad_norm": 1.7952075412540816, + "learning_rate": 1.1261749993162175e-05, + "loss": 0.9627, + "step": 20202 + }, + { + "epoch": 0.48, + "grad_norm": 1.7432296128196338, + "learning_rate": 1.1260993046654546e-05, + "loss": 0.8655, + "step": 20203 + }, + { + "epoch": 0.48, + "grad_norm": 1.5691636787639711, + "learning_rate": 1.1260236092805022e-05, + "loss": 0.8622, + "step": 20204 + }, + { + "epoch": 0.48, + "grad_norm": 0.7944925749175538, + "learning_rate": 1.1259479131617999e-05, + "loss": 0.7969, + "step": 20205 + }, + { + "epoch": 0.48, + "grad_norm": 1.681830824987752, + "learning_rate": 1.1258722163097893e-05, + "loss": 0.9725, + "step": 20206 + }, + { + "epoch": 0.48, + "grad_norm": 1.6747083765884028, + "learning_rate": 1.1257965187249102e-05, + "loss": 0.8224, + "step": 20207 + }, + { + "epoch": 0.48, + "grad_norm": 2.502382142958547, + "learning_rate": 1.1257208204076046e-05, + "loss": 1.0841, + "step": 20208 + }, + { + "epoch": 0.48, + "grad_norm": 0.7880158826980885, + "learning_rate": 1.1256451213583121e-05, + "loss": 0.7211, + "step": 20209 + }, + { + "epoch": 0.48, + "grad_norm": 1.800164865177909, + "learning_rate": 1.1255694215774743e-05, + "loss": 0.7932, + "step": 20210 + }, + { + "epoch": 0.48, + "grad_norm": 0.7325559664009929, + "learning_rate": 1.1254937210655316e-05, + "loss": 0.7087, + "step": 20211 + }, + { + "epoch": 0.48, + "grad_norm": 2.394693105974517, + "learning_rate": 1.1254180198229245e-05, + "loss": 0.9234, + "step": 20212 + }, + { + "epoch": 0.48, + "grad_norm": 1.5365416842766493, + "learning_rate": 1.1253423178500943e-05, + "loss": 0.9513, + "step": 20213 + }, + { + "epoch": 0.48, + "grad_norm": 1.636794350237761, + "learning_rate": 1.125266615147481e-05, + "loss": 0.8102, + "step": 20214 + }, + { + "epoch": 0.48, + "grad_norm": 1.6542779465465627, + "learning_rate": 1.125190911715526e-05, + "loss": 0.8133, + "step": 20215 + }, + { + "epoch": 0.48, + "grad_norm": 1.9948739470792751, + "learning_rate": 1.1251152075546698e-05, + "loss": 0.8761, + "step": 20216 + }, + { + "epoch": 0.48, + "grad_norm": 1.6969563172824536, + "learning_rate": 1.1250395026653536e-05, + "loss": 0.8956, + "step": 20217 + }, + { + "epoch": 0.48, + "grad_norm": 1.972240185590071, + "learning_rate": 1.1249637970480174e-05, + "loss": 0.9394, + "step": 20218 + }, + { + "epoch": 0.48, + "grad_norm": 1.8434361299521238, + "learning_rate": 1.1248880907031025e-05, + "loss": 0.9658, + "step": 20219 + }, + { + "epoch": 0.48, + "grad_norm": 1.7036922689838192, + "learning_rate": 1.1248123836310499e-05, + "loss": 1.063, + "step": 20220 + }, + { + "epoch": 0.48, + "grad_norm": 1.5162298862371675, + "learning_rate": 1.1247366758322997e-05, + "loss": 0.818, + "step": 20221 + }, + { + "epoch": 0.48, + "grad_norm": 1.5517162928081571, + "learning_rate": 1.1246609673072932e-05, + "loss": 0.848, + "step": 20222 + }, + { + "epoch": 0.48, + "grad_norm": 1.8418687734060095, + "learning_rate": 1.124585258056471e-05, + "loss": 0.8999, + "step": 20223 + }, + { + "epoch": 0.48, + "grad_norm": 1.7488531330808927, + "learning_rate": 1.1245095480802743e-05, + "loss": 0.9847, + "step": 20224 + }, + { + "epoch": 0.48, + "grad_norm": 0.773548147374692, + "learning_rate": 1.1244338373791432e-05, + "loss": 0.7516, + "step": 20225 + }, + { + "epoch": 0.48, + "grad_norm": 1.8171098884415489, + "learning_rate": 1.1243581259535193e-05, + "loss": 0.8584, + "step": 20226 + }, + { + "epoch": 0.48, + "grad_norm": 1.5900531252067067, + "learning_rate": 1.1242824138038431e-05, + "loss": 0.8401, + "step": 20227 + }, + { + "epoch": 0.48, + "grad_norm": 1.7921139705603941, + "learning_rate": 1.1242067009305546e-05, + "loss": 0.8742, + "step": 20228 + }, + { + "epoch": 0.48, + "grad_norm": 1.8046873028337589, + "learning_rate": 1.1241309873340962e-05, + "loss": 0.9087, + "step": 20229 + }, + { + "epoch": 0.48, + "grad_norm": 2.4101727874789756, + "learning_rate": 1.1240552730149073e-05, + "loss": 0.7425, + "step": 20230 + }, + { + "epoch": 0.48, + "grad_norm": 1.5626545347036418, + "learning_rate": 1.1239795579734296e-05, + "loss": 0.8202, + "step": 20231 + }, + { + "epoch": 0.48, + "grad_norm": 1.6844062692995827, + "learning_rate": 1.1239038422101033e-05, + "loss": 0.8233, + "step": 20232 + }, + { + "epoch": 0.48, + "grad_norm": 1.6916331185920679, + "learning_rate": 1.1238281257253703e-05, + "loss": 0.8917, + "step": 20233 + }, + { + "epoch": 0.48, + "grad_norm": 1.6554846101082028, + "learning_rate": 1.1237524085196703e-05, + "loss": 0.9253, + "step": 20234 + }, + { + "epoch": 0.48, + "grad_norm": 2.035469596339316, + "learning_rate": 1.1236766905934447e-05, + "loss": 0.8842, + "step": 20235 + }, + { + "epoch": 0.48, + "grad_norm": 1.8078029534441296, + "learning_rate": 1.123600971947134e-05, + "loss": 0.9126, + "step": 20236 + }, + { + "epoch": 0.48, + "grad_norm": 1.72037110603948, + "learning_rate": 1.1235252525811797e-05, + "loss": 0.7787, + "step": 20237 + }, + { + "epoch": 0.48, + "grad_norm": 0.7503686411973239, + "learning_rate": 1.1234495324960221e-05, + "loss": 0.6965, + "step": 20238 + }, + { + "epoch": 0.48, + "grad_norm": 1.621866966941399, + "learning_rate": 1.123373811692102e-05, + "loss": 0.8601, + "step": 20239 + }, + { + "epoch": 0.48, + "grad_norm": 1.732745741742998, + "learning_rate": 1.123298090169861e-05, + "loss": 0.9849, + "step": 20240 + }, + { + "epoch": 0.48, + "grad_norm": 1.783505526226835, + "learning_rate": 1.1232223679297391e-05, + "loss": 0.8381, + "step": 20241 + }, + { + "epoch": 0.48, + "grad_norm": 1.878105247890018, + "learning_rate": 1.1231466449721777e-05, + "loss": 0.8577, + "step": 20242 + }, + { + "epoch": 0.48, + "grad_norm": 1.576772493491271, + "learning_rate": 1.1230709212976176e-05, + "loss": 0.8375, + "step": 20243 + }, + { + "epoch": 0.48, + "grad_norm": 0.7999214885007799, + "learning_rate": 1.1229951969064996e-05, + "loss": 0.6721, + "step": 20244 + }, + { + "epoch": 0.48, + "grad_norm": 2.245862241623525, + "learning_rate": 1.1229194717992644e-05, + "loss": 0.9861, + "step": 20245 + }, + { + "epoch": 0.48, + "grad_norm": 1.9446663535639912, + "learning_rate": 1.1228437459763535e-05, + "loss": 0.8623, + "step": 20246 + }, + { + "epoch": 0.48, + "grad_norm": 1.4829114531460172, + "learning_rate": 1.1227680194382072e-05, + "loss": 0.9106, + "step": 20247 + }, + { + "epoch": 0.48, + "grad_norm": 2.0573597848659873, + "learning_rate": 1.1226922921852668e-05, + "loss": 0.8524, + "step": 20248 + }, + { + "epoch": 0.48, + "grad_norm": 1.5567673508709021, + "learning_rate": 1.1226165642179727e-05, + "loss": 0.9402, + "step": 20249 + }, + { + "epoch": 0.48, + "grad_norm": 1.7429852709185998, + "learning_rate": 1.1225408355367665e-05, + "loss": 0.9541, + "step": 20250 + }, + { + "epoch": 0.48, + "grad_norm": 1.5008798167390809, + "learning_rate": 1.1224651061420884e-05, + "loss": 0.906, + "step": 20251 + }, + { + "epoch": 0.48, + "grad_norm": 1.4711687789619308, + "learning_rate": 1.1223893760343798e-05, + "loss": 0.8475, + "step": 20252 + }, + { + "epoch": 0.48, + "grad_norm": 1.6061961466673962, + "learning_rate": 1.1223136452140815e-05, + "loss": 0.8401, + "step": 20253 + }, + { + "epoch": 0.48, + "grad_norm": 0.7814373495611932, + "learning_rate": 1.1222379136816347e-05, + "loss": 0.726, + "step": 20254 + }, + { + "epoch": 0.48, + "grad_norm": 1.5950844055018178, + "learning_rate": 1.12216218143748e-05, + "loss": 0.8088, + "step": 20255 + }, + { + "epoch": 0.48, + "grad_norm": 1.6604340954694092, + "learning_rate": 1.122086448482058e-05, + "loss": 0.864, + "step": 20256 + }, + { + "epoch": 0.48, + "grad_norm": 1.696087277331619, + "learning_rate": 1.1220107148158104e-05, + "loss": 0.7889, + "step": 20257 + }, + { + "epoch": 0.48, + "grad_norm": 2.17401741586214, + "learning_rate": 1.1219349804391774e-05, + "loss": 0.7915, + "step": 20258 + }, + { + "epoch": 0.48, + "grad_norm": 1.8709370297598131, + "learning_rate": 1.121859245352601e-05, + "loss": 1.0317, + "step": 20259 + }, + { + "epoch": 0.48, + "grad_norm": 1.5097535771799724, + "learning_rate": 1.1217835095565208e-05, + "loss": 0.924, + "step": 20260 + }, + { + "epoch": 0.48, + "grad_norm": 1.5362598253533595, + "learning_rate": 1.1217077730513792e-05, + "loss": 0.9469, + "step": 20261 + }, + { + "epoch": 0.48, + "grad_norm": 1.78690412222418, + "learning_rate": 1.1216320358376158e-05, + "loss": 0.7954, + "step": 20262 + }, + { + "epoch": 0.48, + "grad_norm": 0.7536922377911927, + "learning_rate": 1.1215562979156725e-05, + "loss": 0.7218, + "step": 20263 + }, + { + "epoch": 0.48, + "grad_norm": 0.7673463399030712, + "learning_rate": 1.1214805592859898e-05, + "loss": 0.7103, + "step": 20264 + }, + { + "epoch": 0.48, + "grad_norm": 1.5704702299512023, + "learning_rate": 1.1214048199490089e-05, + "loss": 0.9751, + "step": 20265 + }, + { + "epoch": 0.48, + "grad_norm": 1.5027987944928305, + "learning_rate": 1.1213290799051706e-05, + "loss": 0.9966, + "step": 20266 + }, + { + "epoch": 0.48, + "grad_norm": 1.680327883755817, + "learning_rate": 1.121253339154916e-05, + "loss": 0.791, + "step": 20267 + }, + { + "epoch": 0.48, + "grad_norm": 0.7735054896179075, + "learning_rate": 1.1211775976986861e-05, + "loss": 0.7045, + "step": 20268 + }, + { + "epoch": 0.48, + "grad_norm": 1.5128225449227983, + "learning_rate": 1.121101855536922e-05, + "loss": 0.8395, + "step": 20269 + }, + { + "epoch": 0.48, + "grad_norm": 1.4183115930361654, + "learning_rate": 1.1210261126700643e-05, + "loss": 0.8345, + "step": 20270 + }, + { + "epoch": 0.48, + "grad_norm": 1.635719084932388, + "learning_rate": 1.1209503690985544e-05, + "loss": 0.9765, + "step": 20271 + }, + { + "epoch": 0.48, + "grad_norm": 1.4079495303871954, + "learning_rate": 1.1208746248228332e-05, + "loss": 0.7232, + "step": 20272 + }, + { + "epoch": 0.48, + "grad_norm": 1.9088758160032455, + "learning_rate": 1.1207988798433416e-05, + "loss": 0.8692, + "step": 20273 + }, + { + "epoch": 0.48, + "grad_norm": 1.6116387302687898, + "learning_rate": 1.1207231341605208e-05, + "loss": 1.0274, + "step": 20274 + }, + { + "epoch": 0.48, + "grad_norm": 1.497439653506529, + "learning_rate": 1.1206473877748115e-05, + "loss": 0.8536, + "step": 20275 + }, + { + "epoch": 0.48, + "grad_norm": 1.662690575736708, + "learning_rate": 1.120571640686655e-05, + "loss": 0.903, + "step": 20276 + }, + { + "epoch": 0.48, + "grad_norm": 1.4801696838604224, + "learning_rate": 1.1204958928964922e-05, + "loss": 0.9302, + "step": 20277 + }, + { + "epoch": 0.48, + "grad_norm": 1.5411687060531523, + "learning_rate": 1.1204201444047644e-05, + "loss": 0.8795, + "step": 20278 + }, + { + "epoch": 0.48, + "grad_norm": 2.395162982282887, + "learning_rate": 1.120344395211912e-05, + "loss": 0.887, + "step": 20279 + }, + { + "epoch": 0.48, + "grad_norm": 1.4831489501668371, + "learning_rate": 1.1202686453183769e-05, + "loss": 0.8688, + "step": 20280 + }, + { + "epoch": 0.48, + "grad_norm": 1.7527092093192065, + "learning_rate": 1.120192894724599e-05, + "loss": 0.8358, + "step": 20281 + }, + { + "epoch": 0.48, + "grad_norm": 1.8054388201803235, + "learning_rate": 1.1201171434310207e-05, + "loss": 0.8063, + "step": 20282 + }, + { + "epoch": 0.48, + "grad_norm": 1.5190748897003195, + "learning_rate": 1.1200413914380819e-05, + "loss": 0.9207, + "step": 20283 + }, + { + "epoch": 0.48, + "grad_norm": 1.8464484887689048, + "learning_rate": 1.1199656387462244e-05, + "loss": 0.8078, + "step": 20284 + }, + { + "epoch": 0.48, + "grad_norm": 1.4587884065024161, + "learning_rate": 1.1198898853558889e-05, + "loss": 0.9251, + "step": 20285 + }, + { + "epoch": 0.48, + "grad_norm": 1.7808896473122702, + "learning_rate": 1.1198141312675164e-05, + "loss": 0.8955, + "step": 20286 + }, + { + "epoch": 0.48, + "grad_norm": 2.2959600905403796, + "learning_rate": 1.1197383764815482e-05, + "loss": 0.75, + "step": 20287 + }, + { + "epoch": 0.48, + "grad_norm": 1.536737768130564, + "learning_rate": 1.119662620998425e-05, + "loss": 0.8522, + "step": 20288 + }, + { + "epoch": 0.48, + "grad_norm": 1.7425053767834704, + "learning_rate": 1.1195868648185886e-05, + "loss": 0.8787, + "step": 20289 + }, + { + "epoch": 0.48, + "grad_norm": 1.6878122046701607, + "learning_rate": 1.1195111079424791e-05, + "loss": 0.9482, + "step": 20290 + }, + { + "epoch": 0.48, + "grad_norm": 1.5476448216216727, + "learning_rate": 1.1194353503705387e-05, + "loss": 0.8779, + "step": 20291 + }, + { + "epoch": 0.48, + "grad_norm": 1.5186229563397784, + "learning_rate": 1.1193595921032074e-05, + "loss": 0.8361, + "step": 20292 + }, + { + "epoch": 0.48, + "grad_norm": 1.6247399577631596, + "learning_rate": 1.119283833140927e-05, + "loss": 0.8264, + "step": 20293 + }, + { + "epoch": 0.48, + "grad_norm": 1.6176404948074936, + "learning_rate": 1.1192080734841385e-05, + "loss": 0.7577, + "step": 20294 + }, + { + "epoch": 0.48, + "grad_norm": 0.7187895443061668, + "learning_rate": 1.1191323131332825e-05, + "loss": 0.6758, + "step": 20295 + }, + { + "epoch": 0.48, + "grad_norm": 0.7566529931181102, + "learning_rate": 1.1190565520888005e-05, + "loss": 0.71, + "step": 20296 + }, + { + "epoch": 0.48, + "grad_norm": 1.5503923398745403, + "learning_rate": 1.1189807903511336e-05, + "loss": 0.8946, + "step": 20297 + }, + { + "epoch": 0.48, + "grad_norm": 1.641059552094596, + "learning_rate": 1.1189050279207229e-05, + "loss": 0.996, + "step": 20298 + }, + { + "epoch": 0.48, + "grad_norm": 0.7803464281981148, + "learning_rate": 1.1188292647980099e-05, + "loss": 0.6711, + "step": 20299 + }, + { + "epoch": 0.48, + "grad_norm": 2.01359463777956, + "learning_rate": 1.1187535009834347e-05, + "loss": 0.8529, + "step": 20300 + }, + { + "epoch": 0.48, + "grad_norm": 1.913175918103345, + "learning_rate": 1.1186777364774393e-05, + "loss": 1.0265, + "step": 20301 + }, + { + "epoch": 0.48, + "grad_norm": 0.7432506618577475, + "learning_rate": 1.1186019712804644e-05, + "loss": 0.683, + "step": 20302 + }, + { + "epoch": 0.48, + "grad_norm": 1.7555179194654638, + "learning_rate": 1.1185262053929513e-05, + "loss": 0.9003, + "step": 20303 + }, + { + "epoch": 0.48, + "grad_norm": 1.605144415908284, + "learning_rate": 1.1184504388153413e-05, + "loss": 0.8251, + "step": 20304 + }, + { + "epoch": 0.48, + "grad_norm": 2.5080141263423084, + "learning_rate": 1.118374671548075e-05, + "loss": 0.9006, + "step": 20305 + }, + { + "epoch": 0.48, + "grad_norm": 1.5504846673062165, + "learning_rate": 1.1182989035915943e-05, + "loss": 0.8468, + "step": 20306 + }, + { + "epoch": 0.48, + "grad_norm": 1.4980205784355327, + "learning_rate": 1.1182231349463394e-05, + "loss": 0.8683, + "step": 20307 + }, + { + "epoch": 0.48, + "grad_norm": 0.7859673473086048, + "learning_rate": 1.1181473656127526e-05, + "loss": 0.737, + "step": 20308 + }, + { + "epoch": 0.48, + "grad_norm": 2.3078293986549667, + "learning_rate": 1.118071595591274e-05, + "loss": 0.9033, + "step": 20309 + }, + { + "epoch": 0.48, + "grad_norm": 1.785650305507859, + "learning_rate": 1.1179958248823455e-05, + "loss": 0.8611, + "step": 20310 + }, + { + "epoch": 0.48, + "grad_norm": 2.273649513155275, + "learning_rate": 1.1179200534864077e-05, + "loss": 0.9126, + "step": 20311 + }, + { + "epoch": 0.48, + "grad_norm": 1.6979453381023268, + "learning_rate": 1.1178442814039021e-05, + "loss": 0.8083, + "step": 20312 + }, + { + "epoch": 0.48, + "grad_norm": 2.215575890803779, + "learning_rate": 1.1177685086352699e-05, + "loss": 0.8047, + "step": 20313 + }, + { + "epoch": 0.48, + "grad_norm": 1.5013363578141956, + "learning_rate": 1.1176927351809519e-05, + "loss": 0.8767, + "step": 20314 + }, + { + "epoch": 0.48, + "grad_norm": 1.7563806906496133, + "learning_rate": 1.1176169610413895e-05, + "loss": 0.9638, + "step": 20315 + }, + { + "epoch": 0.48, + "grad_norm": 1.587886507563719, + "learning_rate": 1.1175411862170242e-05, + "loss": 0.7053, + "step": 20316 + }, + { + "epoch": 0.48, + "grad_norm": 1.514372145501967, + "learning_rate": 1.117465410708297e-05, + "loss": 0.9008, + "step": 20317 + }, + { + "epoch": 0.48, + "grad_norm": 1.707942689895442, + "learning_rate": 1.1173896345156486e-05, + "loss": 0.8726, + "step": 20318 + }, + { + "epoch": 0.48, + "grad_norm": 1.6204339858062926, + "learning_rate": 1.1173138576395208e-05, + "loss": 0.862, + "step": 20319 + }, + { + "epoch": 0.48, + "grad_norm": 1.5882463906186335, + "learning_rate": 1.1172380800803544e-05, + "loss": 0.9403, + "step": 20320 + }, + { + "epoch": 0.48, + "grad_norm": 1.6076039015878836, + "learning_rate": 1.117162301838591e-05, + "loss": 0.8284, + "step": 20321 + }, + { + "epoch": 0.48, + "grad_norm": 1.6123103593178356, + "learning_rate": 1.1170865229146715e-05, + "loss": 0.837, + "step": 20322 + }, + { + "epoch": 0.48, + "grad_norm": 1.8893828724920536, + "learning_rate": 1.1170107433090371e-05, + "loss": 0.806, + "step": 20323 + }, + { + "epoch": 0.48, + "grad_norm": 2.7122936138464704, + "learning_rate": 1.1169349630221294e-05, + "loss": 0.9125, + "step": 20324 + }, + { + "epoch": 0.48, + "grad_norm": 1.642818350297602, + "learning_rate": 1.116859182054389e-05, + "loss": 0.958, + "step": 20325 + }, + { + "epoch": 0.48, + "grad_norm": 1.563049973968072, + "learning_rate": 1.1167834004062576e-05, + "loss": 0.9584, + "step": 20326 + }, + { + "epoch": 0.48, + "grad_norm": 1.4542653147794218, + "learning_rate": 1.1167076180781764e-05, + "loss": 0.831, + "step": 20327 + }, + { + "epoch": 0.48, + "grad_norm": 2.160234184213588, + "learning_rate": 1.116631835070586e-05, + "loss": 0.9242, + "step": 20328 + }, + { + "epoch": 0.48, + "grad_norm": 4.026666660486072, + "learning_rate": 1.1165560513839289e-05, + "loss": 0.809, + "step": 20329 + }, + { + "epoch": 0.48, + "grad_norm": 0.7596883160834147, + "learning_rate": 1.1164802670186448e-05, + "loss": 0.6776, + "step": 20330 + }, + { + "epoch": 0.48, + "grad_norm": 1.651897199490809, + "learning_rate": 1.1164044819751763e-05, + "loss": 0.881, + "step": 20331 + }, + { + "epoch": 0.48, + "grad_norm": 1.5312929951764784, + "learning_rate": 1.1163286962539637e-05, + "loss": 0.7885, + "step": 20332 + }, + { + "epoch": 0.48, + "grad_norm": 1.625522947006211, + "learning_rate": 1.1162529098554489e-05, + "loss": 0.9839, + "step": 20333 + }, + { + "epoch": 0.48, + "grad_norm": 1.786614235846975, + "learning_rate": 1.1161771227800727e-05, + "loss": 0.8564, + "step": 20334 + }, + { + "epoch": 0.48, + "grad_norm": 1.7066129543896087, + "learning_rate": 1.1161013350282763e-05, + "loss": 0.9246, + "step": 20335 + }, + { + "epoch": 0.48, + "grad_norm": 1.616947445406381, + "learning_rate": 1.1160255466005014e-05, + "loss": 0.8967, + "step": 20336 + }, + { + "epoch": 0.48, + "grad_norm": 1.690778263529688, + "learning_rate": 1.1159497574971888e-05, + "loss": 0.8344, + "step": 20337 + }, + { + "epoch": 0.48, + "grad_norm": 1.8842431682466336, + "learning_rate": 1.1158739677187802e-05, + "loss": 1.0086, + "step": 20338 + }, + { + "epoch": 0.48, + "grad_norm": 0.8148607367452431, + "learning_rate": 1.1157981772657165e-05, + "loss": 0.7019, + "step": 20339 + }, + { + "epoch": 0.48, + "grad_norm": 1.8708417662491361, + "learning_rate": 1.1157223861384394e-05, + "loss": 0.8925, + "step": 20340 + }, + { + "epoch": 0.48, + "grad_norm": 1.985706249492532, + "learning_rate": 1.1156465943373897e-05, + "loss": 0.9746, + "step": 20341 + }, + { + "epoch": 0.48, + "grad_norm": 1.9860416547054458, + "learning_rate": 1.1155708018630094e-05, + "loss": 0.822, + "step": 20342 + }, + { + "epoch": 0.48, + "grad_norm": 1.5462247298912164, + "learning_rate": 1.1154950087157389e-05, + "loss": 0.8091, + "step": 20343 + }, + { + "epoch": 0.48, + "grad_norm": 1.643638780419317, + "learning_rate": 1.1154192148960199e-05, + "loss": 0.8563, + "step": 20344 + }, + { + "epoch": 0.48, + "grad_norm": 1.6454074634642548, + "learning_rate": 1.1153434204042936e-05, + "loss": 0.858, + "step": 20345 + }, + { + "epoch": 0.48, + "grad_norm": 1.5832223555254978, + "learning_rate": 1.1152676252410015e-05, + "loss": 0.776, + "step": 20346 + }, + { + "epoch": 0.48, + "grad_norm": 1.5138150351259332, + "learning_rate": 1.115191829406585e-05, + "loss": 0.903, + "step": 20347 + }, + { + "epoch": 0.48, + "grad_norm": 0.80468355385903, + "learning_rate": 1.1151160329014849e-05, + "loss": 0.7508, + "step": 20348 + }, + { + "epoch": 0.48, + "grad_norm": 0.7718714341408733, + "learning_rate": 1.1150402357261429e-05, + "loss": 0.7025, + "step": 20349 + }, + { + "epoch": 0.48, + "grad_norm": 1.6052753774062893, + "learning_rate": 1.1149644378810003e-05, + "loss": 0.8179, + "step": 20350 + }, + { + "epoch": 0.48, + "grad_norm": 0.7703176075049273, + "learning_rate": 1.1148886393664984e-05, + "loss": 0.7243, + "step": 20351 + }, + { + "epoch": 0.48, + "grad_norm": 1.655280029760585, + "learning_rate": 1.1148128401830783e-05, + "loss": 0.9465, + "step": 20352 + }, + { + "epoch": 0.48, + "grad_norm": 2.2997061706305497, + "learning_rate": 1.1147370403311815e-05, + "loss": 0.9922, + "step": 20353 + }, + { + "epoch": 0.48, + "grad_norm": 1.5411821825763785, + "learning_rate": 1.1146612398112492e-05, + "loss": 0.9013, + "step": 20354 + }, + { + "epoch": 0.48, + "grad_norm": 1.5806968770160035, + "learning_rate": 1.1145854386237231e-05, + "loss": 0.8465, + "step": 20355 + }, + { + "epoch": 0.48, + "grad_norm": 1.7109490639424254, + "learning_rate": 1.1145096367690445e-05, + "loss": 0.8635, + "step": 20356 + }, + { + "epoch": 0.48, + "grad_norm": 3.784953707367561, + "learning_rate": 1.1144338342476544e-05, + "loss": 0.7627, + "step": 20357 + }, + { + "epoch": 0.48, + "grad_norm": 1.5862720497533949, + "learning_rate": 1.114358031059994e-05, + "loss": 0.7904, + "step": 20358 + }, + { + "epoch": 0.48, + "grad_norm": 1.871758999554641, + "learning_rate": 1.1142822272065053e-05, + "loss": 0.9036, + "step": 20359 + }, + { + "epoch": 0.48, + "grad_norm": 1.579369109784929, + "learning_rate": 1.1142064226876289e-05, + "loss": 0.8881, + "step": 20360 + }, + { + "epoch": 0.48, + "grad_norm": 1.7945023712127937, + "learning_rate": 1.1141306175038069e-05, + "loss": 0.8119, + "step": 20361 + }, + { + "epoch": 0.48, + "grad_norm": 1.5509762482233886, + "learning_rate": 1.1140548116554799e-05, + "loss": 0.9833, + "step": 20362 + }, + { + "epoch": 0.48, + "grad_norm": 0.7784414163511395, + "learning_rate": 1.1139790051430901e-05, + "loss": 0.6932, + "step": 20363 + }, + { + "epoch": 0.48, + "grad_norm": 1.7820311789016654, + "learning_rate": 1.1139031979670785e-05, + "loss": 0.886, + "step": 20364 + }, + { + "epoch": 0.48, + "grad_norm": 1.7995427423757475, + "learning_rate": 1.1138273901278863e-05, + "loss": 0.9614, + "step": 20365 + }, + { + "epoch": 0.48, + "grad_norm": 1.457251375137564, + "learning_rate": 1.1137515816259548e-05, + "loss": 0.8618, + "step": 20366 + }, + { + "epoch": 0.48, + "grad_norm": 1.7937734375017071, + "learning_rate": 1.1136757724617256e-05, + "loss": 0.8444, + "step": 20367 + }, + { + "epoch": 0.48, + "grad_norm": 1.5617035255875586, + "learning_rate": 1.1135999626356403e-05, + "loss": 0.8493, + "step": 20368 + }, + { + "epoch": 0.48, + "grad_norm": 1.596281778482196, + "learning_rate": 1.1135241521481397e-05, + "loss": 0.8366, + "step": 20369 + }, + { + "epoch": 0.48, + "grad_norm": 1.6567436834281544, + "learning_rate": 1.1134483409996657e-05, + "loss": 0.8826, + "step": 20370 + }, + { + "epoch": 0.48, + "grad_norm": 1.5514431341067765, + "learning_rate": 1.1133725291906596e-05, + "loss": 0.8451, + "step": 20371 + }, + { + "epoch": 0.48, + "grad_norm": 0.7225669104858845, + "learning_rate": 1.1132967167215627e-05, + "loss": 0.7049, + "step": 20372 + }, + { + "epoch": 0.48, + "grad_norm": 1.4493639981962687, + "learning_rate": 1.1132209035928166e-05, + "loss": 0.8575, + "step": 20373 + }, + { + "epoch": 0.48, + "grad_norm": 1.7590535873321342, + "learning_rate": 1.1131450898048624e-05, + "loss": 0.8629, + "step": 20374 + }, + { + "epoch": 0.48, + "grad_norm": 2.3718623948165733, + "learning_rate": 1.1130692753581416e-05, + "loss": 0.8045, + "step": 20375 + }, + { + "epoch": 0.48, + "grad_norm": 2.1112861586259872, + "learning_rate": 1.1129934602530959e-05, + "loss": 0.8921, + "step": 20376 + }, + { + "epoch": 0.48, + "grad_norm": 0.7258636085218382, + "learning_rate": 1.1129176444901663e-05, + "loss": 0.6506, + "step": 20377 + }, + { + "epoch": 0.48, + "grad_norm": 1.5820666024259709, + "learning_rate": 1.1128418280697948e-05, + "loss": 0.8415, + "step": 20378 + }, + { + "epoch": 0.48, + "grad_norm": 1.6755989801815176, + "learning_rate": 1.1127660109924218e-05, + "loss": 0.8416, + "step": 20379 + }, + { + "epoch": 0.48, + "grad_norm": 0.722573687272766, + "learning_rate": 1.11269019325849e-05, + "loss": 0.7193, + "step": 20380 + }, + { + "epoch": 0.48, + "grad_norm": 1.675416360083304, + "learning_rate": 1.1126143748684397e-05, + "loss": 0.8609, + "step": 20381 + }, + { + "epoch": 0.48, + "grad_norm": 1.5191679240490934, + "learning_rate": 1.1125385558227136e-05, + "loss": 0.8928, + "step": 20382 + }, + { + "epoch": 0.48, + "grad_norm": 1.5522843275494316, + "learning_rate": 1.1124627361217514e-05, + "loss": 0.804, + "step": 20383 + }, + { + "epoch": 0.48, + "grad_norm": 1.6479030473386973, + "learning_rate": 1.1123869157659962e-05, + "loss": 0.7973, + "step": 20384 + }, + { + "epoch": 0.48, + "grad_norm": 1.599007459581555, + "learning_rate": 1.1123110947558888e-05, + "loss": 0.8106, + "step": 20385 + }, + { + "epoch": 0.48, + "grad_norm": 1.7001488649546688, + "learning_rate": 1.1122352730918704e-05, + "loss": 0.9548, + "step": 20386 + }, + { + "epoch": 0.48, + "grad_norm": 1.7285866059395347, + "learning_rate": 1.112159450774383e-05, + "loss": 0.7115, + "step": 20387 + }, + { + "epoch": 0.48, + "grad_norm": 1.6384825220022674, + "learning_rate": 1.1120836278038674e-05, + "loss": 0.951, + "step": 20388 + }, + { + "epoch": 0.48, + "grad_norm": 1.7889742392862733, + "learning_rate": 1.1120078041807658e-05, + "loss": 0.8941, + "step": 20389 + }, + { + "epoch": 0.48, + "grad_norm": 1.5142636823076054, + "learning_rate": 1.1119319799055188e-05, + "loss": 0.6971, + "step": 20390 + }, + { + "epoch": 0.48, + "grad_norm": 1.5573186795568303, + "learning_rate": 1.111856154978569e-05, + "loss": 0.9607, + "step": 20391 + }, + { + "epoch": 0.48, + "grad_norm": 2.3288841083068155, + "learning_rate": 1.1117803294003568e-05, + "loss": 0.9018, + "step": 20392 + }, + { + "epoch": 0.48, + "grad_norm": 1.7071986511207522, + "learning_rate": 1.1117045031713242e-05, + "loss": 0.8588, + "step": 20393 + }, + { + "epoch": 0.48, + "grad_norm": 1.7127588906789337, + "learning_rate": 1.1116286762919129e-05, + "loss": 0.7882, + "step": 20394 + }, + { + "epoch": 0.48, + "grad_norm": 1.525841774946471, + "learning_rate": 1.1115528487625638e-05, + "loss": 0.9467, + "step": 20395 + }, + { + "epoch": 0.48, + "grad_norm": 1.5767027658884676, + "learning_rate": 1.1114770205837189e-05, + "loss": 0.9856, + "step": 20396 + }, + { + "epoch": 0.48, + "grad_norm": 0.7286498676995418, + "learning_rate": 1.1114011917558194e-05, + "loss": 0.7022, + "step": 20397 + }, + { + "epoch": 0.48, + "grad_norm": 1.6684194084856705, + "learning_rate": 1.1113253622793067e-05, + "loss": 0.9286, + "step": 20398 + }, + { + "epoch": 0.48, + "grad_norm": 1.6459643077235429, + "learning_rate": 1.1112495321546228e-05, + "loss": 0.8977, + "step": 20399 + }, + { + "epoch": 0.48, + "grad_norm": 1.9361117223665851, + "learning_rate": 1.1111737013822089e-05, + "loss": 0.8078, + "step": 20400 + }, + { + "epoch": 0.48, + "grad_norm": 1.6450884695036287, + "learning_rate": 1.1110978699625061e-05, + "loss": 0.9416, + "step": 20401 + }, + { + "epoch": 0.48, + "grad_norm": 1.59300468772116, + "learning_rate": 1.1110220378959568e-05, + "loss": 0.9398, + "step": 20402 + }, + { + "epoch": 0.48, + "grad_norm": 1.9087607355919232, + "learning_rate": 1.1109462051830018e-05, + "loss": 0.8697, + "step": 20403 + }, + { + "epoch": 0.48, + "grad_norm": 2.0867195781808237, + "learning_rate": 1.110870371824083e-05, + "loss": 0.9168, + "step": 20404 + }, + { + "epoch": 0.48, + "grad_norm": 1.6968494893591861, + "learning_rate": 1.1107945378196417e-05, + "loss": 0.9457, + "step": 20405 + }, + { + "epoch": 0.48, + "grad_norm": 1.6317513211802457, + "learning_rate": 1.1107187031701194e-05, + "loss": 1.0295, + "step": 20406 + }, + { + "epoch": 0.48, + "grad_norm": 1.7364631880959613, + "learning_rate": 1.110642867875958e-05, + "loss": 0.7778, + "step": 20407 + }, + { + "epoch": 0.48, + "grad_norm": 1.7844906175451931, + "learning_rate": 1.110567031937599e-05, + "loss": 0.7392, + "step": 20408 + }, + { + "epoch": 0.48, + "grad_norm": 1.639506649811617, + "learning_rate": 1.1104911953554831e-05, + "loss": 0.9056, + "step": 20409 + }, + { + "epoch": 0.48, + "grad_norm": 1.613289765449944, + "learning_rate": 1.1104153581300532e-05, + "loss": 0.8688, + "step": 20410 + }, + { + "epoch": 0.48, + "grad_norm": 1.6921817316626118, + "learning_rate": 1.1103395202617495e-05, + "loss": 0.8656, + "step": 20411 + }, + { + "epoch": 0.48, + "grad_norm": 2.48728585206841, + "learning_rate": 1.1102636817510147e-05, + "loss": 0.9135, + "step": 20412 + }, + { + "epoch": 0.48, + "grad_norm": 1.5836922780322857, + "learning_rate": 1.1101878425982892e-05, + "loss": 0.8425, + "step": 20413 + }, + { + "epoch": 0.48, + "grad_norm": 1.6897651417314565, + "learning_rate": 1.1101120028040158e-05, + "loss": 0.9524, + "step": 20414 + }, + { + "epoch": 0.48, + "grad_norm": 1.8904863215059518, + "learning_rate": 1.1100361623686352e-05, + "loss": 0.7858, + "step": 20415 + }, + { + "epoch": 0.48, + "grad_norm": 1.7580328588978973, + "learning_rate": 1.1099603212925893e-05, + "loss": 0.7899, + "step": 20416 + }, + { + "epoch": 0.48, + "grad_norm": 1.9973626670979605, + "learning_rate": 1.1098844795763195e-05, + "loss": 1.0386, + "step": 20417 + }, + { + "epoch": 0.48, + "grad_norm": 1.775779605855723, + "learning_rate": 1.1098086372202674e-05, + "loss": 0.8676, + "step": 20418 + }, + { + "epoch": 0.48, + "grad_norm": 1.969668902037601, + "learning_rate": 1.109732794224875e-05, + "loss": 0.9286, + "step": 20419 + }, + { + "epoch": 0.48, + "grad_norm": 1.590312831282997, + "learning_rate": 1.1096569505905832e-05, + "loss": 0.7633, + "step": 20420 + }, + { + "epoch": 0.48, + "grad_norm": 1.6891960795884495, + "learning_rate": 1.109581106317834e-05, + "loss": 0.8491, + "step": 20421 + }, + { + "epoch": 0.48, + "grad_norm": 1.6223988915406498, + "learning_rate": 1.109505261407069e-05, + "loss": 0.8576, + "step": 20422 + }, + { + "epoch": 0.48, + "grad_norm": 1.6391185762539517, + "learning_rate": 1.1094294158587295e-05, + "loss": 0.8719, + "step": 20423 + }, + { + "epoch": 0.48, + "grad_norm": 1.7062433158957064, + "learning_rate": 1.1093535696732574e-05, + "loss": 1.0351, + "step": 20424 + }, + { + "epoch": 0.48, + "grad_norm": 1.449526322353309, + "learning_rate": 1.1092777228510943e-05, + "loss": 0.9623, + "step": 20425 + }, + { + "epoch": 0.48, + "grad_norm": 1.660465485298454, + "learning_rate": 1.1092018753926817e-05, + "loss": 0.8713, + "step": 20426 + }, + { + "epoch": 0.48, + "grad_norm": 1.8633417438587638, + "learning_rate": 1.109126027298461e-05, + "loss": 0.8258, + "step": 20427 + }, + { + "epoch": 0.48, + "grad_norm": 1.6131815710328719, + "learning_rate": 1.109050178568874e-05, + "loss": 0.8535, + "step": 20428 + }, + { + "epoch": 0.48, + "grad_norm": 1.8706212886986733, + "learning_rate": 1.1089743292043629e-05, + "loss": 0.7421, + "step": 20429 + }, + { + "epoch": 0.48, + "grad_norm": 1.6907765419087306, + "learning_rate": 1.1088984792053681e-05, + "loss": 0.8421, + "step": 20430 + }, + { + "epoch": 0.48, + "grad_norm": 0.7443061375308156, + "learning_rate": 1.1088226285723323e-05, + "loss": 0.7763, + "step": 20431 + }, + { + "epoch": 0.48, + "grad_norm": 1.7733610597281737, + "learning_rate": 1.1087467773056962e-05, + "loss": 0.9263, + "step": 20432 + }, + { + "epoch": 0.48, + "grad_norm": 0.7772551228935762, + "learning_rate": 1.1086709254059025e-05, + "loss": 0.752, + "step": 20433 + }, + { + "epoch": 0.48, + "grad_norm": 1.696852465191334, + "learning_rate": 1.1085950728733919e-05, + "loss": 0.8872, + "step": 20434 + }, + { + "epoch": 0.48, + "grad_norm": 1.4847846607009416, + "learning_rate": 1.1085192197086063e-05, + "loss": 0.9752, + "step": 20435 + }, + { + "epoch": 0.48, + "grad_norm": 1.6406432084260965, + "learning_rate": 1.108443365911988e-05, + "loss": 0.8531, + "step": 20436 + }, + { + "epoch": 0.48, + "grad_norm": 1.5998818166751088, + "learning_rate": 1.1083675114839775e-05, + "loss": 0.8944, + "step": 20437 + }, + { + "epoch": 0.48, + "grad_norm": 1.4697835268818331, + "learning_rate": 1.1082916564250175e-05, + "loss": 0.9725, + "step": 20438 + }, + { + "epoch": 0.48, + "grad_norm": 1.7165304925343257, + "learning_rate": 1.1082158007355487e-05, + "loss": 0.8633, + "step": 20439 + }, + { + "epoch": 0.48, + "grad_norm": 1.669219347206408, + "learning_rate": 1.108139944416014e-05, + "loss": 0.7142, + "step": 20440 + }, + { + "epoch": 0.48, + "grad_norm": 0.8008256090194272, + "learning_rate": 1.1080640874668535e-05, + "loss": 0.7526, + "step": 20441 + }, + { + "epoch": 0.48, + "grad_norm": 1.6525481196626617, + "learning_rate": 1.1079882298885102e-05, + "loss": 0.8699, + "step": 20442 + }, + { + "epoch": 0.48, + "grad_norm": 1.8942292388722415, + "learning_rate": 1.107912371681425e-05, + "loss": 0.8914, + "step": 20443 + }, + { + "epoch": 0.48, + "grad_norm": 2.440415102898689, + "learning_rate": 1.1078365128460398e-05, + "loss": 0.8054, + "step": 20444 + }, + { + "epoch": 0.48, + "grad_norm": 1.7603680369628802, + "learning_rate": 1.1077606533827965e-05, + "loss": 0.9694, + "step": 20445 + }, + { + "epoch": 0.48, + "grad_norm": 1.6948325626928418, + "learning_rate": 1.1076847932921364e-05, + "loss": 0.8869, + "step": 20446 + }, + { + "epoch": 0.48, + "grad_norm": 1.799896078407742, + "learning_rate": 1.1076089325745013e-05, + "loss": 0.9738, + "step": 20447 + }, + { + "epoch": 0.48, + "grad_norm": 1.9233410435900657, + "learning_rate": 1.1075330712303329e-05, + "loss": 0.8544, + "step": 20448 + }, + { + "epoch": 0.48, + "grad_norm": 2.2447011544613216, + "learning_rate": 1.107457209260073e-05, + "loss": 0.7365, + "step": 20449 + }, + { + "epoch": 0.48, + "grad_norm": 1.6585214006340883, + "learning_rate": 1.1073813466641633e-05, + "loss": 0.8425, + "step": 20450 + }, + { + "epoch": 0.48, + "grad_norm": 1.624780685849894, + "learning_rate": 1.1073054834430452e-05, + "loss": 0.9426, + "step": 20451 + }, + { + "epoch": 0.48, + "grad_norm": 1.5628106016591148, + "learning_rate": 1.1072296195971606e-05, + "loss": 0.8956, + "step": 20452 + }, + { + "epoch": 0.48, + "grad_norm": 1.931437996985502, + "learning_rate": 1.1071537551269513e-05, + "loss": 0.8346, + "step": 20453 + }, + { + "epoch": 0.48, + "grad_norm": 1.863696201400093, + "learning_rate": 1.107077890032859e-05, + "loss": 0.8794, + "step": 20454 + }, + { + "epoch": 0.48, + "grad_norm": 1.5266205534053061, + "learning_rate": 1.1070020243153253e-05, + "loss": 0.9479, + "step": 20455 + }, + { + "epoch": 0.48, + "grad_norm": 1.7284043774999103, + "learning_rate": 1.1069261579747919e-05, + "loss": 0.8578, + "step": 20456 + }, + { + "epoch": 0.48, + "grad_norm": 0.8011321180482467, + "learning_rate": 1.1068502910117006e-05, + "loss": 0.7104, + "step": 20457 + }, + { + "epoch": 0.48, + "grad_norm": 2.2125537180571357, + "learning_rate": 1.1067744234264928e-05, + "loss": 0.766, + "step": 20458 + }, + { + "epoch": 0.48, + "grad_norm": 2.206978045408816, + "learning_rate": 1.106698555219611e-05, + "loss": 0.9046, + "step": 20459 + }, + { + "epoch": 0.48, + "grad_norm": 1.5516121447022286, + "learning_rate": 1.106622686391496e-05, + "loss": 0.9877, + "step": 20460 + }, + { + "epoch": 0.48, + "grad_norm": 1.4233125302064338, + "learning_rate": 1.1065468169425902e-05, + "loss": 0.7124, + "step": 20461 + }, + { + "epoch": 0.48, + "grad_norm": 1.7792194875795575, + "learning_rate": 1.1064709468733348e-05, + "loss": 0.9201, + "step": 20462 + }, + { + "epoch": 0.48, + "grad_norm": 1.8192632467918002, + "learning_rate": 1.1063950761841722e-05, + "loss": 0.9387, + "step": 20463 + }, + { + "epoch": 0.48, + "grad_norm": 1.7168432557888516, + "learning_rate": 1.1063192048755436e-05, + "loss": 0.7915, + "step": 20464 + }, + { + "epoch": 0.48, + "grad_norm": 1.635122141074231, + "learning_rate": 1.106243332947891e-05, + "loss": 0.818, + "step": 20465 + }, + { + "epoch": 0.48, + "grad_norm": 1.7486517564578155, + "learning_rate": 1.106167460401656e-05, + "loss": 0.9378, + "step": 20466 + }, + { + "epoch": 0.48, + "grad_norm": 1.518423275401708, + "learning_rate": 1.1060915872372804e-05, + "loss": 1.0007, + "step": 20467 + }, + { + "epoch": 0.48, + "grad_norm": 1.5428179451991846, + "learning_rate": 1.1060157134552061e-05, + "loss": 0.7693, + "step": 20468 + }, + { + "epoch": 0.48, + "grad_norm": 0.7723000831567083, + "learning_rate": 1.105939839055875e-05, + "loss": 0.7519, + "step": 20469 + }, + { + "epoch": 0.48, + "grad_norm": 1.6403524494563904, + "learning_rate": 1.1058639640397282e-05, + "loss": 0.8656, + "step": 20470 + }, + { + "epoch": 0.48, + "grad_norm": 1.6189123199509898, + "learning_rate": 1.1057880884072078e-05, + "loss": 0.9164, + "step": 20471 + }, + { + "epoch": 0.48, + "grad_norm": 1.5441054691688845, + "learning_rate": 1.1057122121587561e-05, + "loss": 0.8437, + "step": 20472 + }, + { + "epoch": 0.48, + "grad_norm": 1.787127984352621, + "learning_rate": 1.1056363352948141e-05, + "loss": 0.9294, + "step": 20473 + }, + { + "epoch": 0.48, + "grad_norm": 0.7655160078860784, + "learning_rate": 1.105560457815824e-05, + "loss": 0.7471, + "step": 20474 + }, + { + "epoch": 0.48, + "grad_norm": 1.7581453187269471, + "learning_rate": 1.1054845797222276e-05, + "loss": 0.7935, + "step": 20475 + }, + { + "epoch": 0.48, + "grad_norm": 1.6204413784455598, + "learning_rate": 1.1054087010144662e-05, + "loss": 0.835, + "step": 20476 + }, + { + "epoch": 0.48, + "grad_norm": 1.888653985493399, + "learning_rate": 1.1053328216929823e-05, + "loss": 0.7962, + "step": 20477 + }, + { + "epoch": 0.48, + "grad_norm": 1.9626069631095822, + "learning_rate": 1.1052569417582174e-05, + "loss": 0.8743, + "step": 20478 + }, + { + "epoch": 0.48, + "grad_norm": 1.6644197595766175, + "learning_rate": 1.1051810612106134e-05, + "loss": 0.9874, + "step": 20479 + }, + { + "epoch": 0.48, + "grad_norm": 1.6338321154044229, + "learning_rate": 1.1051051800506118e-05, + "loss": 0.7802, + "step": 20480 + }, + { + "epoch": 0.48, + "grad_norm": 1.8043671715951182, + "learning_rate": 1.1050292982786543e-05, + "loss": 0.8568, + "step": 20481 + }, + { + "epoch": 0.48, + "grad_norm": 2.181966046145459, + "learning_rate": 1.1049534158951834e-05, + "loss": 0.9657, + "step": 20482 + }, + { + "epoch": 0.48, + "grad_norm": 1.909000209219228, + "learning_rate": 1.10487753290064e-05, + "loss": 0.951, + "step": 20483 + }, + { + "epoch": 0.48, + "grad_norm": 2.077966103291599, + "learning_rate": 1.1048016492954668e-05, + "loss": 0.9254, + "step": 20484 + }, + { + "epoch": 0.48, + "grad_norm": 1.4665434987118862, + "learning_rate": 1.104725765080105e-05, + "loss": 0.8899, + "step": 20485 + }, + { + "epoch": 0.48, + "grad_norm": 1.64423959365334, + "learning_rate": 1.1046498802549968e-05, + "loss": 0.9374, + "step": 20486 + }, + { + "epoch": 0.48, + "grad_norm": 1.5028257759903725, + "learning_rate": 1.104573994820584e-05, + "loss": 0.9899, + "step": 20487 + }, + { + "epoch": 0.48, + "grad_norm": 1.6045260506527281, + "learning_rate": 1.104498108777308e-05, + "loss": 0.8792, + "step": 20488 + }, + { + "epoch": 0.48, + "grad_norm": 1.6796783822666035, + "learning_rate": 1.104422222125611e-05, + "loss": 0.9521, + "step": 20489 + }, + { + "epoch": 0.48, + "grad_norm": 1.679755618878615, + "learning_rate": 1.1043463348659346e-05, + "loss": 0.838, + "step": 20490 + }, + { + "epoch": 0.48, + "grad_norm": 2.3288503111718644, + "learning_rate": 1.1042704469987213e-05, + "loss": 0.8784, + "step": 20491 + }, + { + "epoch": 0.48, + "grad_norm": 1.7272753165787036, + "learning_rate": 1.1041945585244118e-05, + "loss": 0.868, + "step": 20492 + }, + { + "epoch": 0.48, + "grad_norm": 2.0583578342339703, + "learning_rate": 1.1041186694434492e-05, + "loss": 0.8697, + "step": 20493 + }, + { + "epoch": 0.48, + "grad_norm": 1.6677816398272374, + "learning_rate": 1.1040427797562744e-05, + "loss": 0.8044, + "step": 20494 + }, + { + "epoch": 0.48, + "grad_norm": 1.6584388939810304, + "learning_rate": 1.1039668894633298e-05, + "loss": 0.847, + "step": 20495 + }, + { + "epoch": 0.48, + "grad_norm": 1.6325856479462695, + "learning_rate": 1.1038909985650568e-05, + "loss": 0.9173, + "step": 20496 + }, + { + "epoch": 0.48, + "grad_norm": 2.3610767628769644, + "learning_rate": 1.1038151070618976e-05, + "loss": 0.8742, + "step": 20497 + }, + { + "epoch": 0.48, + "grad_norm": 0.7322173996451192, + "learning_rate": 1.103739214954294e-05, + "loss": 0.7146, + "step": 20498 + }, + { + "epoch": 0.48, + "grad_norm": 1.5233285542307953, + "learning_rate": 1.103663322242688e-05, + "loss": 0.7455, + "step": 20499 + }, + { + "epoch": 0.48, + "grad_norm": 1.6794386775401675, + "learning_rate": 1.1035874289275212e-05, + "loss": 0.8636, + "step": 20500 + }, + { + "epoch": 0.48, + "grad_norm": 1.6515826951623076, + "learning_rate": 1.1035115350092356e-05, + "loss": 0.7842, + "step": 20501 + }, + { + "epoch": 0.48, + "grad_norm": 0.7578420371359293, + "learning_rate": 1.1034356404882728e-05, + "loss": 0.6879, + "step": 20502 + }, + { + "epoch": 0.48, + "grad_norm": 1.39851766330652, + "learning_rate": 1.1033597453650752e-05, + "loss": 0.9443, + "step": 20503 + }, + { + "epoch": 0.48, + "grad_norm": 1.5042744898834637, + "learning_rate": 1.1032838496400846e-05, + "loss": 0.8716, + "step": 20504 + }, + { + "epoch": 0.48, + "grad_norm": 1.6477339781139848, + "learning_rate": 1.1032079533137426e-05, + "loss": 0.8671, + "step": 20505 + }, + { + "epoch": 0.48, + "grad_norm": 1.9496391190158973, + "learning_rate": 1.1031320563864912e-05, + "loss": 0.803, + "step": 20506 + }, + { + "epoch": 0.48, + "grad_norm": 2.026253808265068, + "learning_rate": 1.1030561588587722e-05, + "loss": 0.8718, + "step": 20507 + }, + { + "epoch": 0.48, + "grad_norm": 1.8381707875358388, + "learning_rate": 1.102980260731028e-05, + "loss": 0.8679, + "step": 20508 + }, + { + "epoch": 0.48, + "grad_norm": 0.8247800824527842, + "learning_rate": 1.1029043620036996e-05, + "loss": 0.7146, + "step": 20509 + }, + { + "epoch": 0.48, + "grad_norm": 1.5678864875995284, + "learning_rate": 1.1028284626772299e-05, + "loss": 0.8546, + "step": 20510 + }, + { + "epoch": 0.48, + "grad_norm": 1.64930477783937, + "learning_rate": 1.1027525627520599e-05, + "loss": 0.8386, + "step": 20511 + }, + { + "epoch": 0.48, + "grad_norm": 1.6648302151601337, + "learning_rate": 1.1026766622286322e-05, + "loss": 0.811, + "step": 20512 + }, + { + "epoch": 0.48, + "grad_norm": 1.8466736465861635, + "learning_rate": 1.1026007611073883e-05, + "loss": 0.9559, + "step": 20513 + }, + { + "epoch": 0.48, + "grad_norm": 1.5848819958109415, + "learning_rate": 1.1025248593887707e-05, + "loss": 0.9546, + "step": 20514 + }, + { + "epoch": 0.48, + "grad_norm": 1.8467269720851633, + "learning_rate": 1.1024489570732207e-05, + "loss": 0.9093, + "step": 20515 + }, + { + "epoch": 0.48, + "grad_norm": 4.306889803706258, + "learning_rate": 1.10237305416118e-05, + "loss": 0.8195, + "step": 20516 + }, + { + "epoch": 0.48, + "grad_norm": 1.6700889388808033, + "learning_rate": 1.1022971506530915e-05, + "loss": 0.8018, + "step": 20517 + }, + { + "epoch": 0.48, + "grad_norm": 1.5782048234832888, + "learning_rate": 1.1022212465493965e-05, + "loss": 0.8143, + "step": 20518 + }, + { + "epoch": 0.48, + "grad_norm": 1.7162767573506401, + "learning_rate": 1.102145341850537e-05, + "loss": 0.8509, + "step": 20519 + }, + { + "epoch": 0.48, + "grad_norm": 1.7956179305581552, + "learning_rate": 1.1020694365569548e-05, + "loss": 0.9307, + "step": 20520 + }, + { + "epoch": 0.48, + "grad_norm": 1.691324187452232, + "learning_rate": 1.1019935306690921e-05, + "loss": 0.6485, + "step": 20521 + }, + { + "epoch": 0.48, + "grad_norm": 1.8735794993129644, + "learning_rate": 1.101917624187391e-05, + "loss": 0.919, + "step": 20522 + }, + { + "epoch": 0.48, + "grad_norm": 1.8073607207727809, + "learning_rate": 1.101841717112293e-05, + "loss": 0.9099, + "step": 20523 + }, + { + "epoch": 0.48, + "grad_norm": 1.7511844137826684, + "learning_rate": 1.1017658094442403e-05, + "loss": 0.8249, + "step": 20524 + }, + { + "epoch": 0.48, + "grad_norm": 1.6326842536809458, + "learning_rate": 1.1016899011836749e-05, + "loss": 0.9534, + "step": 20525 + }, + { + "epoch": 0.48, + "grad_norm": 1.5134468427784982, + "learning_rate": 1.1016139923310388e-05, + "loss": 0.9114, + "step": 20526 + }, + { + "epoch": 0.48, + "grad_norm": 1.7464295410482051, + "learning_rate": 1.1015380828867736e-05, + "loss": 0.8481, + "step": 20527 + }, + { + "epoch": 0.48, + "grad_norm": 2.0439059966361817, + "learning_rate": 1.1014621728513218e-05, + "loss": 0.973, + "step": 20528 + }, + { + "epoch": 0.48, + "grad_norm": 1.5324218809300771, + "learning_rate": 1.101386262225125e-05, + "loss": 0.9532, + "step": 20529 + }, + { + "epoch": 0.48, + "grad_norm": 1.7525693713054031, + "learning_rate": 1.1013103510086252e-05, + "loss": 0.8186, + "step": 20530 + }, + { + "epoch": 0.48, + "grad_norm": 1.6935898360073438, + "learning_rate": 1.1012344392022647e-05, + "loss": 0.8889, + "step": 20531 + }, + { + "epoch": 0.48, + "grad_norm": 0.8259674904738452, + "learning_rate": 1.1011585268064849e-05, + "loss": 0.752, + "step": 20532 + }, + { + "epoch": 0.48, + "grad_norm": 1.997267350401591, + "learning_rate": 1.1010826138217284e-05, + "loss": 0.9426, + "step": 20533 + }, + { + "epoch": 0.48, + "grad_norm": 1.5013152146603468, + "learning_rate": 1.1010067002484368e-05, + "loss": 0.8024, + "step": 20534 + }, + { + "epoch": 0.48, + "grad_norm": 2.4599851970150293, + "learning_rate": 1.1009307860870522e-05, + "loss": 0.8694, + "step": 20535 + }, + { + "epoch": 0.48, + "grad_norm": 1.949278695852461, + "learning_rate": 1.1008548713380167e-05, + "loss": 0.7643, + "step": 20536 + }, + { + "epoch": 0.48, + "grad_norm": 1.5211403653176467, + "learning_rate": 1.1007789560017722e-05, + "loss": 0.9229, + "step": 20537 + }, + { + "epoch": 0.48, + "grad_norm": 1.395299432993757, + "learning_rate": 1.1007030400787608e-05, + "loss": 0.9378, + "step": 20538 + }, + { + "epoch": 0.48, + "grad_norm": 1.992081533651281, + "learning_rate": 1.1006271235694242e-05, + "loss": 0.7737, + "step": 20539 + }, + { + "epoch": 0.48, + "grad_norm": 4.121841542861454, + "learning_rate": 1.1005512064742048e-05, + "loss": 0.9744, + "step": 20540 + }, + { + "epoch": 0.48, + "grad_norm": 1.6498162809535937, + "learning_rate": 1.1004752887935442e-05, + "loss": 0.9113, + "step": 20541 + }, + { + "epoch": 0.48, + "grad_norm": 1.535688084513882, + "learning_rate": 1.100399370527885e-05, + "loss": 0.8324, + "step": 20542 + }, + { + "epoch": 0.48, + "grad_norm": 2.12219317268618, + "learning_rate": 1.1003234516776685e-05, + "loss": 1.0021, + "step": 20543 + }, + { + "epoch": 0.48, + "grad_norm": 1.7965495417502826, + "learning_rate": 1.1002475322433374e-05, + "loss": 0.9671, + "step": 20544 + }, + { + "epoch": 0.48, + "grad_norm": 1.4696880762076707, + "learning_rate": 1.1001716122253335e-05, + "loss": 0.9145, + "step": 20545 + }, + { + "epoch": 0.48, + "grad_norm": 1.8141724271008155, + "learning_rate": 1.1000956916240985e-05, + "loss": 0.802, + "step": 20546 + }, + { + "epoch": 0.48, + "grad_norm": 1.7079310816729434, + "learning_rate": 1.1000197704400748e-05, + "loss": 0.8579, + "step": 20547 + }, + { + "epoch": 0.48, + "grad_norm": 1.4505981178101033, + "learning_rate": 1.0999438486737043e-05, + "loss": 0.8066, + "step": 20548 + }, + { + "epoch": 0.48, + "grad_norm": 1.6517774846706794, + "learning_rate": 1.099867926325429e-05, + "loss": 0.8358, + "step": 20549 + }, + { + "epoch": 0.48, + "grad_norm": 1.6334002996213088, + "learning_rate": 1.0997920033956912e-05, + "loss": 0.934, + "step": 20550 + }, + { + "epoch": 0.48, + "grad_norm": 1.542023268102395, + "learning_rate": 1.0997160798849327e-05, + "loss": 0.7518, + "step": 20551 + }, + { + "epoch": 0.48, + "grad_norm": 1.659659112096927, + "learning_rate": 1.0996401557935957e-05, + "loss": 0.7649, + "step": 20552 + }, + { + "epoch": 0.48, + "grad_norm": 2.080894912724547, + "learning_rate": 1.099564231122122e-05, + "loss": 0.9459, + "step": 20553 + }, + { + "epoch": 0.48, + "grad_norm": 1.6182953740643284, + "learning_rate": 1.0994883058709538e-05, + "loss": 0.7856, + "step": 20554 + }, + { + "epoch": 0.48, + "grad_norm": 1.6154676708761382, + "learning_rate": 1.0994123800405332e-05, + "loss": 0.9729, + "step": 20555 + }, + { + "epoch": 0.48, + "grad_norm": 2.2258935969151445, + "learning_rate": 1.0993364536313022e-05, + "loss": 0.9043, + "step": 20556 + }, + { + "epoch": 0.48, + "grad_norm": 1.4893700189023857, + "learning_rate": 1.0992605266437032e-05, + "loss": 0.8475, + "step": 20557 + }, + { + "epoch": 0.48, + "grad_norm": 1.769627321872246, + "learning_rate": 1.0991845990781777e-05, + "loss": 0.7737, + "step": 20558 + }, + { + "epoch": 0.48, + "grad_norm": 1.7704396972175387, + "learning_rate": 1.0991086709351686e-05, + "loss": 0.8228, + "step": 20559 + }, + { + "epoch": 0.48, + "grad_norm": 1.932728345505028, + "learning_rate": 1.0990327422151168e-05, + "loss": 0.741, + "step": 20560 + }, + { + "epoch": 0.48, + "grad_norm": 2.0208556379186424, + "learning_rate": 1.0989568129184654e-05, + "loss": 0.7366, + "step": 20561 + }, + { + "epoch": 0.48, + "grad_norm": 1.3702251397703322, + "learning_rate": 1.0988808830456557e-05, + "loss": 0.8118, + "step": 20562 + }, + { + "epoch": 0.48, + "grad_norm": 1.4257829882091875, + "learning_rate": 1.0988049525971307e-05, + "loss": 0.8102, + "step": 20563 + }, + { + "epoch": 0.48, + "grad_norm": 1.6700156635861776, + "learning_rate": 1.0987290215733315e-05, + "loss": 0.8048, + "step": 20564 + }, + { + "epoch": 0.48, + "grad_norm": 1.567178317051542, + "learning_rate": 1.098653089974701e-05, + "loss": 0.9999, + "step": 20565 + }, + { + "epoch": 0.48, + "grad_norm": 1.6650567399202456, + "learning_rate": 1.0985771578016808e-05, + "loss": 0.8194, + "step": 20566 + }, + { + "epoch": 0.48, + "grad_norm": 1.4229528010488648, + "learning_rate": 1.0985012250547133e-05, + "loss": 0.8154, + "step": 20567 + }, + { + "epoch": 0.48, + "grad_norm": 2.097265370913677, + "learning_rate": 1.0984252917342406e-05, + "loss": 0.7917, + "step": 20568 + }, + { + "epoch": 0.48, + "grad_norm": 2.174379686401279, + "learning_rate": 1.0983493578407044e-05, + "loss": 0.9848, + "step": 20569 + }, + { + "epoch": 0.48, + "grad_norm": 1.4433139043683305, + "learning_rate": 1.0982734233745473e-05, + "loss": 0.8628, + "step": 20570 + }, + { + "epoch": 0.48, + "grad_norm": 1.5998240573794338, + "learning_rate": 1.098197488336211e-05, + "loss": 0.8332, + "step": 20571 + }, + { + "epoch": 0.48, + "grad_norm": 1.670598921909606, + "learning_rate": 1.0981215527261383e-05, + "loss": 0.7829, + "step": 20572 + }, + { + "epoch": 0.48, + "grad_norm": 1.6857708499194004, + "learning_rate": 1.0980456165447704e-05, + "loss": 0.8281, + "step": 20573 + }, + { + "epoch": 0.48, + "grad_norm": 0.7635049507366846, + "learning_rate": 1.09796967979255e-05, + "loss": 0.7233, + "step": 20574 + }, + { + "epoch": 0.48, + "grad_norm": 0.7918628642971888, + "learning_rate": 1.0978937424699191e-05, + "loss": 0.7087, + "step": 20575 + }, + { + "epoch": 0.48, + "grad_norm": 1.4495281815300751, + "learning_rate": 1.0978178045773197e-05, + "loss": 0.8605, + "step": 20576 + }, + { + "epoch": 0.48, + "grad_norm": 1.5281278169080401, + "learning_rate": 1.0977418661151943e-05, + "loss": 0.7979, + "step": 20577 + }, + { + "epoch": 0.48, + "grad_norm": 1.6626396953733698, + "learning_rate": 1.097665927083985e-05, + "loss": 0.8447, + "step": 20578 + }, + { + "epoch": 0.48, + "grad_norm": 1.909061531431448, + "learning_rate": 1.0975899874841334e-05, + "loss": 0.8574, + "step": 20579 + }, + { + "epoch": 0.48, + "grad_norm": 1.7163340553766362, + "learning_rate": 1.0975140473160824e-05, + "loss": 0.964, + "step": 20580 + }, + { + "epoch": 0.48, + "grad_norm": 1.6929621088165487, + "learning_rate": 1.0974381065802731e-05, + "loss": 0.9549, + "step": 20581 + }, + { + "epoch": 0.48, + "grad_norm": 1.542961235458147, + "learning_rate": 1.0973621652771487e-05, + "loss": 0.7884, + "step": 20582 + }, + { + "epoch": 0.48, + "grad_norm": 2.725162283387043, + "learning_rate": 1.0972862234071508e-05, + "loss": 0.9202, + "step": 20583 + }, + { + "epoch": 0.48, + "grad_norm": 1.8559826304294367, + "learning_rate": 1.0972102809707219e-05, + "loss": 0.9351, + "step": 20584 + }, + { + "epoch": 0.48, + "grad_norm": 1.6920206580620154, + "learning_rate": 1.0971343379683037e-05, + "loss": 0.8509, + "step": 20585 + }, + { + "epoch": 0.48, + "grad_norm": 1.6040285750528664, + "learning_rate": 1.0970583944003388e-05, + "loss": 0.8819, + "step": 20586 + }, + { + "epoch": 0.49, + "grad_norm": 1.4440420256249986, + "learning_rate": 1.0969824502672694e-05, + "loss": 0.8176, + "step": 20587 + }, + { + "epoch": 0.49, + "grad_norm": 1.6029545590165766, + "learning_rate": 1.0969065055695371e-05, + "loss": 0.8432, + "step": 20588 + }, + { + "epoch": 0.49, + "grad_norm": 1.9308674001982757, + "learning_rate": 1.0968305603075849e-05, + "loss": 0.8688, + "step": 20589 + }, + { + "epoch": 0.49, + "grad_norm": 1.995971171296378, + "learning_rate": 1.096754614481854e-05, + "loss": 0.868, + "step": 20590 + }, + { + "epoch": 0.49, + "grad_norm": 1.7115440485770355, + "learning_rate": 1.0966786680927875e-05, + "loss": 0.8359, + "step": 20591 + }, + { + "epoch": 0.49, + "grad_norm": 1.826516171676189, + "learning_rate": 1.0966027211408268e-05, + "loss": 0.871, + "step": 20592 + }, + { + "epoch": 0.49, + "grad_norm": 1.5412284025560021, + "learning_rate": 1.096526773626415e-05, + "loss": 0.9599, + "step": 20593 + }, + { + "epoch": 0.49, + "grad_norm": 1.7645001167685566, + "learning_rate": 1.0964508255499933e-05, + "loss": 0.7956, + "step": 20594 + }, + { + "epoch": 0.49, + "grad_norm": 1.7207395411582516, + "learning_rate": 1.0963748769120046e-05, + "loss": 0.792, + "step": 20595 + }, + { + "epoch": 0.49, + "grad_norm": 1.5431554953296043, + "learning_rate": 1.0962989277128909e-05, + "loss": 0.7704, + "step": 20596 + }, + { + "epoch": 0.49, + "grad_norm": 0.7885356157519392, + "learning_rate": 1.0962229779530941e-05, + "loss": 0.7264, + "step": 20597 + }, + { + "epoch": 0.49, + "grad_norm": 4.23571187520689, + "learning_rate": 1.0961470276330568e-05, + "loss": 0.9203, + "step": 20598 + }, + { + "epoch": 0.49, + "grad_norm": 1.6923015955941496, + "learning_rate": 1.0960710767532209e-05, + "loss": 0.8771, + "step": 20599 + }, + { + "epoch": 0.49, + "grad_norm": 1.55235652785362, + "learning_rate": 1.095995125314029e-05, + "loss": 0.995, + "step": 20600 + }, + { + "epoch": 0.49, + "grad_norm": 1.6136956699726879, + "learning_rate": 1.095919173315923e-05, + "loss": 0.9649, + "step": 20601 + }, + { + "epoch": 0.49, + "grad_norm": 1.4273320550885118, + "learning_rate": 1.0958432207593453e-05, + "loss": 0.8234, + "step": 20602 + }, + { + "epoch": 0.49, + "grad_norm": 1.668642772358669, + "learning_rate": 1.095767267644738e-05, + "loss": 0.8587, + "step": 20603 + }, + { + "epoch": 0.49, + "grad_norm": 1.8179953813555343, + "learning_rate": 1.095691313972543e-05, + "loss": 1.0219, + "step": 20604 + }, + { + "epoch": 0.49, + "grad_norm": 1.6129795131191271, + "learning_rate": 1.0956153597432033e-05, + "loss": 0.7424, + "step": 20605 + }, + { + "epoch": 0.49, + "grad_norm": 1.558072276809395, + "learning_rate": 1.0955394049571606e-05, + "loss": 0.7229, + "step": 20606 + }, + { + "epoch": 0.49, + "grad_norm": 0.782197136710956, + "learning_rate": 1.0954634496148573e-05, + "loss": 0.6875, + "step": 20607 + }, + { + "epoch": 0.49, + "grad_norm": 1.4424367720356515, + "learning_rate": 1.0953874937167355e-05, + "loss": 0.8666, + "step": 20608 + }, + { + "epoch": 0.49, + "grad_norm": 1.8236502875852503, + "learning_rate": 1.0953115372632375e-05, + "loss": 0.908, + "step": 20609 + }, + { + "epoch": 0.49, + "grad_norm": 0.7657596072720299, + "learning_rate": 1.0952355802548058e-05, + "loss": 0.7099, + "step": 20610 + }, + { + "epoch": 0.49, + "grad_norm": 1.71331460075315, + "learning_rate": 1.095159622691882e-05, + "loss": 0.8833, + "step": 20611 + }, + { + "epoch": 0.49, + "grad_norm": 1.8013245226026717, + "learning_rate": 1.095083664574909e-05, + "loss": 0.9351, + "step": 20612 + }, + { + "epoch": 0.49, + "grad_norm": 1.606051219774423, + "learning_rate": 1.0950077059043285e-05, + "loss": 0.9291, + "step": 20613 + }, + { + "epoch": 0.49, + "grad_norm": 1.5937822041153373, + "learning_rate": 1.0949317466805834e-05, + "loss": 0.8983, + "step": 20614 + }, + { + "epoch": 0.49, + "grad_norm": 1.627695630765971, + "learning_rate": 1.0948557869041151e-05, + "loss": 0.8584, + "step": 20615 + }, + { + "epoch": 0.49, + "grad_norm": 1.8007451638583927, + "learning_rate": 1.094779826575367e-05, + "loss": 0.8919, + "step": 20616 + }, + { + "epoch": 0.49, + "grad_norm": 1.5961630908023219, + "learning_rate": 1.0947038656947806e-05, + "loss": 0.8245, + "step": 20617 + }, + { + "epoch": 0.49, + "grad_norm": 1.6324912679182648, + "learning_rate": 1.0946279042627981e-05, + "loss": 0.9652, + "step": 20618 + }, + { + "epoch": 0.49, + "grad_norm": 1.9355022556575594, + "learning_rate": 1.0945519422798622e-05, + "loss": 0.8068, + "step": 20619 + }, + { + "epoch": 0.49, + "grad_norm": 1.3953747280649933, + "learning_rate": 1.0944759797464146e-05, + "loss": 0.8282, + "step": 20620 + }, + { + "epoch": 0.49, + "grad_norm": 0.7952817213619142, + "learning_rate": 1.0944000166628986e-05, + "loss": 0.7433, + "step": 20621 + }, + { + "epoch": 0.49, + "grad_norm": 1.9273120457423758, + "learning_rate": 1.094324053029755e-05, + "loss": 0.9551, + "step": 20622 + }, + { + "epoch": 0.49, + "grad_norm": 1.810995837873978, + "learning_rate": 1.0942480888474276e-05, + "loss": 0.8692, + "step": 20623 + }, + { + "epoch": 0.49, + "grad_norm": 1.5255795412893445, + "learning_rate": 1.0941721241163577e-05, + "loss": 0.9141, + "step": 20624 + }, + { + "epoch": 0.49, + "grad_norm": 1.5843083558397755, + "learning_rate": 1.0940961588369879e-05, + "loss": 0.8524, + "step": 20625 + }, + { + "epoch": 0.49, + "grad_norm": 2.2566142710481056, + "learning_rate": 1.0940201930097603e-05, + "loss": 1.0029, + "step": 20626 + }, + { + "epoch": 0.49, + "grad_norm": 1.8591624110901466, + "learning_rate": 1.0939442266351174e-05, + "loss": 0.8947, + "step": 20627 + }, + { + "epoch": 0.49, + "grad_norm": 0.7999483842100588, + "learning_rate": 1.0938682597135017e-05, + "loss": 0.7016, + "step": 20628 + }, + { + "epoch": 0.49, + "grad_norm": 1.8753791717816906, + "learning_rate": 1.0937922922453553e-05, + "loss": 0.864, + "step": 20629 + }, + { + "epoch": 0.49, + "grad_norm": 1.8925465112535507, + "learning_rate": 1.0937163242311201e-05, + "loss": 0.8622, + "step": 20630 + }, + { + "epoch": 0.49, + "grad_norm": 0.7724852472975974, + "learning_rate": 1.0936403556712392e-05, + "loss": 0.7806, + "step": 20631 + }, + { + "epoch": 0.49, + "grad_norm": 1.8062396777028322, + "learning_rate": 1.0935643865661543e-05, + "loss": 0.8695, + "step": 20632 + }, + { + "epoch": 0.49, + "grad_norm": 1.5994974075041408, + "learning_rate": 1.0934884169163078e-05, + "loss": 0.8802, + "step": 20633 + }, + { + "epoch": 0.49, + "grad_norm": 1.5968480574424397, + "learning_rate": 1.0934124467221424e-05, + "loss": 0.9166, + "step": 20634 + }, + { + "epoch": 0.49, + "grad_norm": 0.7832474097389497, + "learning_rate": 1.0933364759841001e-05, + "loss": 0.7543, + "step": 20635 + }, + { + "epoch": 0.49, + "grad_norm": 0.7197288966205745, + "learning_rate": 1.0932605047026232e-05, + "loss": 0.6911, + "step": 20636 + }, + { + "epoch": 0.49, + "grad_norm": 1.5112702803151592, + "learning_rate": 1.0931845328781541e-05, + "loss": 1.016, + "step": 20637 + }, + { + "epoch": 0.49, + "grad_norm": 1.7703984437713205, + "learning_rate": 1.0931085605111354e-05, + "loss": 0.8867, + "step": 20638 + }, + { + "epoch": 0.49, + "grad_norm": 1.5070365701810038, + "learning_rate": 1.0930325876020086e-05, + "loss": 0.8406, + "step": 20639 + }, + { + "epoch": 0.49, + "grad_norm": 1.5160782302806788, + "learning_rate": 1.0929566141512173e-05, + "loss": 0.8949, + "step": 20640 + }, + { + "epoch": 0.49, + "grad_norm": 2.128974584452834, + "learning_rate": 1.0928806401592026e-05, + "loss": 0.9008, + "step": 20641 + }, + { + "epoch": 0.49, + "grad_norm": 1.887685716636584, + "learning_rate": 1.092804665626408e-05, + "loss": 0.9908, + "step": 20642 + }, + { + "epoch": 0.49, + "grad_norm": 1.7614522942625153, + "learning_rate": 1.0927286905532749e-05, + "loss": 0.8685, + "step": 20643 + }, + { + "epoch": 0.49, + "grad_norm": 1.3443583909779613, + "learning_rate": 1.0926527149402461e-05, + "loss": 0.8775, + "step": 20644 + }, + { + "epoch": 0.49, + "grad_norm": 1.8421347855564274, + "learning_rate": 1.0925767387877638e-05, + "loss": 0.9597, + "step": 20645 + }, + { + "epoch": 0.49, + "grad_norm": 1.7598176710590951, + "learning_rate": 1.0925007620962703e-05, + "loss": 0.7944, + "step": 20646 + }, + { + "epoch": 0.49, + "grad_norm": 1.5364678745403724, + "learning_rate": 1.0924247848662084e-05, + "loss": 0.8345, + "step": 20647 + }, + { + "epoch": 0.49, + "grad_norm": 1.6561517656097986, + "learning_rate": 1.0923488070980197e-05, + "loss": 0.9411, + "step": 20648 + }, + { + "epoch": 0.49, + "grad_norm": 2.1240377672578035, + "learning_rate": 1.0922728287921474e-05, + "loss": 0.9489, + "step": 20649 + }, + { + "epoch": 0.49, + "grad_norm": 0.7597649923515934, + "learning_rate": 1.0921968499490332e-05, + "loss": 0.6645, + "step": 20650 + }, + { + "epoch": 0.49, + "grad_norm": 2.075165967341111, + "learning_rate": 1.09212087056912e-05, + "loss": 0.8546, + "step": 20651 + }, + { + "epoch": 0.49, + "grad_norm": 2.1073170643099477, + "learning_rate": 1.0920448906528498e-05, + "loss": 0.93, + "step": 20652 + }, + { + "epoch": 0.49, + "grad_norm": 1.514917498367453, + "learning_rate": 1.091968910200665e-05, + "loss": 1.001, + "step": 20653 + }, + { + "epoch": 0.49, + "grad_norm": 1.542681875431613, + "learning_rate": 1.0918929292130082e-05, + "loss": 0.841, + "step": 20654 + }, + { + "epoch": 0.49, + "grad_norm": 1.605241991246326, + "learning_rate": 1.0918169476903217e-05, + "loss": 0.8802, + "step": 20655 + }, + { + "epoch": 0.49, + "grad_norm": 1.5775317638578346, + "learning_rate": 1.0917409656330477e-05, + "loss": 0.8766, + "step": 20656 + }, + { + "epoch": 0.49, + "grad_norm": 1.72221097897191, + "learning_rate": 1.091664983041629e-05, + "loss": 0.9046, + "step": 20657 + }, + { + "epoch": 0.49, + "grad_norm": 2.2808076523753495, + "learning_rate": 1.0915889999165077e-05, + "loss": 0.9066, + "step": 20658 + }, + { + "epoch": 0.49, + "grad_norm": 1.7430206780807227, + "learning_rate": 1.091513016258126e-05, + "loss": 0.8275, + "step": 20659 + }, + { + "epoch": 0.49, + "grad_norm": 1.9908497956663012, + "learning_rate": 1.0914370320669267e-05, + "loss": 0.9705, + "step": 20660 + }, + { + "epoch": 0.49, + "grad_norm": 1.4886848527709688, + "learning_rate": 1.0913610473433525e-05, + "loss": 0.836, + "step": 20661 + }, + { + "epoch": 0.49, + "grad_norm": 2.0692631891601687, + "learning_rate": 1.0912850620878445e-05, + "loss": 0.9432, + "step": 20662 + }, + { + "epoch": 0.49, + "grad_norm": 2.3917209324130067, + "learning_rate": 1.0912090763008468e-05, + "loss": 0.8374, + "step": 20663 + }, + { + "epoch": 0.49, + "grad_norm": 1.4634576541577897, + "learning_rate": 1.0911330899828003e-05, + "loss": 0.8129, + "step": 20664 + }, + { + "epoch": 0.49, + "grad_norm": 1.569710574070737, + "learning_rate": 1.0910571031341485e-05, + "loss": 0.8993, + "step": 20665 + }, + { + "epoch": 0.49, + "grad_norm": 1.8569029475723051, + "learning_rate": 1.0909811157553331e-05, + "loss": 0.7085, + "step": 20666 + }, + { + "epoch": 0.49, + "grad_norm": 1.670211819959687, + "learning_rate": 1.090905127846797e-05, + "loss": 0.9066, + "step": 20667 + }, + { + "epoch": 0.49, + "grad_norm": 1.5220961819113359, + "learning_rate": 1.0908291394089828e-05, + "loss": 0.86, + "step": 20668 + }, + { + "epoch": 0.49, + "grad_norm": 1.6840782939879653, + "learning_rate": 1.0907531504423321e-05, + "loss": 0.9329, + "step": 20669 + }, + { + "epoch": 0.49, + "grad_norm": 1.678572363602756, + "learning_rate": 1.0906771609472882e-05, + "loss": 0.8281, + "step": 20670 + }, + { + "epoch": 0.49, + "grad_norm": 1.7415476287687064, + "learning_rate": 1.0906011709242927e-05, + "loss": 0.9101, + "step": 20671 + }, + { + "epoch": 0.49, + "grad_norm": 1.53883570244161, + "learning_rate": 1.0905251803737891e-05, + "loss": 0.7652, + "step": 20672 + }, + { + "epoch": 0.49, + "grad_norm": 2.889752465976827, + "learning_rate": 1.0904491892962186e-05, + "loss": 0.9285, + "step": 20673 + }, + { + "epoch": 0.49, + "grad_norm": 0.748791947023184, + "learning_rate": 1.0903731976920249e-05, + "loss": 0.6877, + "step": 20674 + }, + { + "epoch": 0.49, + "grad_norm": 0.7341288902584876, + "learning_rate": 1.0902972055616494e-05, + "loss": 0.686, + "step": 20675 + }, + { + "epoch": 0.49, + "grad_norm": 2.078219295097642, + "learning_rate": 1.0902212129055353e-05, + "loss": 0.837, + "step": 20676 + }, + { + "epoch": 0.49, + "grad_norm": 2.62572191399015, + "learning_rate": 1.0901452197241245e-05, + "loss": 0.8643, + "step": 20677 + }, + { + "epoch": 0.49, + "grad_norm": 0.8116528592577816, + "learning_rate": 1.0900692260178596e-05, + "loss": 0.7452, + "step": 20678 + }, + { + "epoch": 0.49, + "grad_norm": 2.0857565843000625, + "learning_rate": 1.0899932317871832e-05, + "loss": 0.8497, + "step": 20679 + }, + { + "epoch": 0.49, + "grad_norm": 1.6707396190544626, + "learning_rate": 1.0899172370325379e-05, + "loss": 0.8668, + "step": 20680 + }, + { + "epoch": 0.49, + "grad_norm": 1.5407907934011036, + "learning_rate": 1.0898412417543658e-05, + "loss": 0.955, + "step": 20681 + }, + { + "epoch": 0.49, + "grad_norm": 1.780199269025818, + "learning_rate": 1.0897652459531098e-05, + "loss": 0.8878, + "step": 20682 + }, + { + "epoch": 0.49, + "grad_norm": 3.3153365032558937, + "learning_rate": 1.089689249629212e-05, + "loss": 0.9139, + "step": 20683 + }, + { + "epoch": 0.49, + "grad_norm": 1.6544060075400797, + "learning_rate": 1.0896132527831149e-05, + "loss": 0.8545, + "step": 20684 + }, + { + "epoch": 0.49, + "grad_norm": 1.620234020427021, + "learning_rate": 1.0895372554152611e-05, + "loss": 0.9704, + "step": 20685 + }, + { + "epoch": 0.49, + "grad_norm": 1.4970844660089615, + "learning_rate": 1.089461257526093e-05, + "loss": 0.944, + "step": 20686 + }, + { + "epoch": 0.49, + "grad_norm": 1.6352454533498026, + "learning_rate": 1.0893852591160533e-05, + "loss": 0.9361, + "step": 20687 + }, + { + "epoch": 0.49, + "grad_norm": 1.5885210559592824, + "learning_rate": 1.0893092601855841e-05, + "loss": 0.8754, + "step": 20688 + }, + { + "epoch": 0.49, + "grad_norm": 2.034770268961468, + "learning_rate": 1.0892332607351283e-05, + "loss": 0.8339, + "step": 20689 + }, + { + "epoch": 0.49, + "grad_norm": 1.6775208361319833, + "learning_rate": 1.0891572607651281e-05, + "loss": 0.8054, + "step": 20690 + }, + { + "epoch": 0.49, + "grad_norm": 1.6014107969771398, + "learning_rate": 1.0890812602760263e-05, + "loss": 0.8695, + "step": 20691 + }, + { + "epoch": 0.49, + "grad_norm": 2.3112583168640413, + "learning_rate": 1.089005259268265e-05, + "loss": 0.7038, + "step": 20692 + }, + { + "epoch": 0.49, + "grad_norm": 1.546898596297959, + "learning_rate": 1.0889292577422869e-05, + "loss": 0.8924, + "step": 20693 + }, + { + "epoch": 0.49, + "grad_norm": 1.4889632929502514, + "learning_rate": 1.0888532556985346e-05, + "loss": 1.0288, + "step": 20694 + }, + { + "epoch": 0.49, + "grad_norm": 0.8252558597100277, + "learning_rate": 1.0887772531374506e-05, + "loss": 0.7339, + "step": 20695 + }, + { + "epoch": 0.49, + "grad_norm": 1.5809886840841214, + "learning_rate": 1.0887012500594771e-05, + "loss": 1.0181, + "step": 20696 + }, + { + "epoch": 0.49, + "grad_norm": 1.5361423816491988, + "learning_rate": 1.0886252464650569e-05, + "loss": 0.7992, + "step": 20697 + }, + { + "epoch": 0.49, + "grad_norm": 2.3632844564321536, + "learning_rate": 1.0885492423546324e-05, + "loss": 0.8454, + "step": 20698 + }, + { + "epoch": 0.49, + "grad_norm": 1.504290657584246, + "learning_rate": 1.0884732377286464e-05, + "loss": 0.9515, + "step": 20699 + }, + { + "epoch": 0.49, + "grad_norm": 1.7660108160970405, + "learning_rate": 1.0883972325875411e-05, + "loss": 1.007, + "step": 20700 + }, + { + "epoch": 0.49, + "grad_norm": 1.743491078922215, + "learning_rate": 1.088321226931759e-05, + "loss": 0.9144, + "step": 20701 + }, + { + "epoch": 0.49, + "grad_norm": 2.1396550271356283, + "learning_rate": 1.0882452207617428e-05, + "loss": 0.7887, + "step": 20702 + }, + { + "epoch": 0.49, + "grad_norm": 1.5140840862225988, + "learning_rate": 1.0881692140779352e-05, + "loss": 0.9622, + "step": 20703 + }, + { + "epoch": 0.49, + "grad_norm": 1.6502857097489165, + "learning_rate": 1.0880932068807783e-05, + "loss": 0.8604, + "step": 20704 + }, + { + "epoch": 0.49, + "grad_norm": 0.8167035207265351, + "learning_rate": 1.0880171991707149e-05, + "loss": 0.7727, + "step": 20705 + }, + { + "epoch": 0.49, + "grad_norm": 0.8050693851706373, + "learning_rate": 1.0879411909481874e-05, + "loss": 0.7058, + "step": 20706 + }, + { + "epoch": 0.49, + "grad_norm": 1.687905704744995, + "learning_rate": 1.0878651822136386e-05, + "loss": 0.9859, + "step": 20707 + }, + { + "epoch": 0.49, + "grad_norm": 1.6499447162343044, + "learning_rate": 1.087789172967511e-05, + "loss": 0.8933, + "step": 20708 + }, + { + "epoch": 0.49, + "grad_norm": 1.5363052673246487, + "learning_rate": 1.0877131632102468e-05, + "loss": 0.851, + "step": 20709 + }, + { + "epoch": 0.49, + "grad_norm": 1.8483924283730273, + "learning_rate": 1.087637152942289e-05, + "loss": 0.9134, + "step": 20710 + }, + { + "epoch": 0.49, + "grad_norm": 1.568912376561982, + "learning_rate": 1.0875611421640797e-05, + "loss": 0.8485, + "step": 20711 + }, + { + "epoch": 0.49, + "grad_norm": 1.47244269729918, + "learning_rate": 1.0874851308760622e-05, + "loss": 0.7396, + "step": 20712 + }, + { + "epoch": 0.49, + "grad_norm": 1.4340923774993493, + "learning_rate": 1.087409119078678e-05, + "loss": 0.9001, + "step": 20713 + }, + { + "epoch": 0.49, + "grad_norm": 1.6891157399443228, + "learning_rate": 1.0873331067723704e-05, + "loss": 0.9507, + "step": 20714 + }, + { + "epoch": 0.49, + "grad_norm": 2.0277456567258825, + "learning_rate": 1.0872570939575818e-05, + "loss": 0.9885, + "step": 20715 + }, + { + "epoch": 0.49, + "grad_norm": 1.5856956048395998, + "learning_rate": 1.087181080634755e-05, + "loss": 0.7674, + "step": 20716 + }, + { + "epoch": 0.49, + "grad_norm": 1.6367897779021208, + "learning_rate": 1.087105066804332e-05, + "loss": 0.9279, + "step": 20717 + }, + { + "epoch": 0.49, + "grad_norm": 1.760025707748924, + "learning_rate": 1.087029052466756e-05, + "loss": 0.8185, + "step": 20718 + }, + { + "epoch": 0.49, + "grad_norm": 1.9392854045484198, + "learning_rate": 1.0869530376224693e-05, + "loss": 0.9206, + "step": 20719 + }, + { + "epoch": 0.49, + "grad_norm": 1.6235120234060387, + "learning_rate": 1.0868770222719143e-05, + "loss": 0.8368, + "step": 20720 + }, + { + "epoch": 0.49, + "grad_norm": 1.5178379517760636, + "learning_rate": 1.0868010064155338e-05, + "loss": 0.8751, + "step": 20721 + }, + { + "epoch": 0.49, + "grad_norm": 1.6547501135537828, + "learning_rate": 1.0867249900537703e-05, + "loss": 0.9172, + "step": 20722 + }, + { + "epoch": 0.49, + "grad_norm": 1.7169179647702573, + "learning_rate": 1.0866489731870668e-05, + "loss": 0.8421, + "step": 20723 + }, + { + "epoch": 0.49, + "grad_norm": 1.9199373062500553, + "learning_rate": 1.0865729558158652e-05, + "loss": 0.9593, + "step": 20724 + }, + { + "epoch": 0.49, + "grad_norm": 1.588671274920196, + "learning_rate": 1.0864969379406088e-05, + "loss": 0.9954, + "step": 20725 + }, + { + "epoch": 0.49, + "grad_norm": 1.9154861534132857, + "learning_rate": 1.0864209195617395e-05, + "loss": 0.7844, + "step": 20726 + }, + { + "epoch": 0.49, + "grad_norm": 1.5786289488606062, + "learning_rate": 1.0863449006797005e-05, + "loss": 0.7729, + "step": 20727 + }, + { + "epoch": 0.49, + "grad_norm": 1.6046402003373823, + "learning_rate": 1.0862688812949338e-05, + "loss": 0.8155, + "step": 20728 + }, + { + "epoch": 0.49, + "grad_norm": 1.8062896772019357, + "learning_rate": 1.0861928614078827e-05, + "loss": 0.9396, + "step": 20729 + }, + { + "epoch": 0.49, + "grad_norm": 1.7014205482404472, + "learning_rate": 1.0861168410189894e-05, + "loss": 0.9542, + "step": 20730 + }, + { + "epoch": 0.49, + "grad_norm": 0.7967496145226785, + "learning_rate": 1.0860408201286964e-05, + "loss": 0.7825, + "step": 20731 + }, + { + "epoch": 0.49, + "grad_norm": 2.456986575083432, + "learning_rate": 1.0859647987374467e-05, + "loss": 0.8029, + "step": 20732 + }, + { + "epoch": 0.49, + "grad_norm": 1.4676731672447096, + "learning_rate": 1.0858887768456824e-05, + "loss": 0.9079, + "step": 20733 + }, + { + "epoch": 0.49, + "grad_norm": 1.5520720302342859, + "learning_rate": 1.0858127544538468e-05, + "loss": 0.7916, + "step": 20734 + }, + { + "epoch": 0.49, + "grad_norm": 0.8030305323580375, + "learning_rate": 1.085736731562382e-05, + "loss": 0.7511, + "step": 20735 + }, + { + "epoch": 0.49, + "grad_norm": 2.037287869175786, + "learning_rate": 1.085660708171731e-05, + "loss": 0.9161, + "step": 20736 + }, + { + "epoch": 0.49, + "grad_norm": 0.7517924517194234, + "learning_rate": 1.085584684282336e-05, + "loss": 0.7286, + "step": 20737 + }, + { + "epoch": 0.49, + "grad_norm": 1.888574848905277, + "learning_rate": 1.0855086598946401e-05, + "loss": 0.9421, + "step": 20738 + }, + { + "epoch": 0.49, + "grad_norm": 1.424963729103932, + "learning_rate": 1.0854326350090855e-05, + "loss": 0.9206, + "step": 20739 + }, + { + "epoch": 0.49, + "grad_norm": 1.5902934700727196, + "learning_rate": 1.0853566096261155e-05, + "loss": 0.8085, + "step": 20740 + }, + { + "epoch": 0.49, + "grad_norm": 1.5952353951969658, + "learning_rate": 1.0852805837461718e-05, + "loss": 0.8757, + "step": 20741 + }, + { + "epoch": 0.49, + "grad_norm": 0.7985486859465565, + "learning_rate": 1.0852045573696979e-05, + "loss": 0.7577, + "step": 20742 + }, + { + "epoch": 0.49, + "grad_norm": 1.6423938721730016, + "learning_rate": 1.0851285304971354e-05, + "loss": 0.7933, + "step": 20743 + }, + { + "epoch": 0.49, + "grad_norm": 1.6776100334206787, + "learning_rate": 1.0850525031289286e-05, + "loss": 0.969, + "step": 20744 + }, + { + "epoch": 0.49, + "grad_norm": 1.8725193868496492, + "learning_rate": 1.0849764752655185e-05, + "loss": 0.6745, + "step": 20745 + }, + { + "epoch": 0.49, + "grad_norm": 1.537154310584036, + "learning_rate": 1.0849004469073487e-05, + "loss": 0.921, + "step": 20746 + }, + { + "epoch": 0.49, + "grad_norm": 0.775451847963637, + "learning_rate": 1.0848244180548618e-05, + "loss": 0.6966, + "step": 20747 + }, + { + "epoch": 0.49, + "grad_norm": 1.6423982125243135, + "learning_rate": 1.0847483887085e-05, + "loss": 0.797, + "step": 20748 + }, + { + "epoch": 0.49, + "grad_norm": 1.8808792164026857, + "learning_rate": 1.0846723588687065e-05, + "loss": 0.8148, + "step": 20749 + }, + { + "epoch": 0.49, + "grad_norm": 1.5862120183179198, + "learning_rate": 1.0845963285359233e-05, + "loss": 0.8643, + "step": 20750 + }, + { + "epoch": 0.49, + "grad_norm": 1.8968371285809893, + "learning_rate": 1.084520297710594e-05, + "loss": 0.9148, + "step": 20751 + }, + { + "epoch": 0.49, + "grad_norm": 1.8776764405713835, + "learning_rate": 1.0844442663931604e-05, + "loss": 0.9417, + "step": 20752 + }, + { + "epoch": 0.49, + "grad_norm": 1.6169482926845387, + "learning_rate": 1.0843682345840655e-05, + "loss": 0.8043, + "step": 20753 + }, + { + "epoch": 0.49, + "grad_norm": 1.720452161655374, + "learning_rate": 1.0842922022837524e-05, + "loss": 0.8463, + "step": 20754 + }, + { + "epoch": 0.49, + "grad_norm": 0.7634747550826894, + "learning_rate": 1.0842161694926632e-05, + "loss": 0.7117, + "step": 20755 + }, + { + "epoch": 0.49, + "grad_norm": 1.5964064137110294, + "learning_rate": 1.0841401362112408e-05, + "loss": 0.8248, + "step": 20756 + }, + { + "epoch": 0.49, + "grad_norm": 1.903015454747804, + "learning_rate": 1.0840641024399278e-05, + "loss": 0.88, + "step": 20757 + }, + { + "epoch": 0.49, + "grad_norm": 0.7688592334410718, + "learning_rate": 1.083988068179167e-05, + "loss": 0.7771, + "step": 20758 + }, + { + "epoch": 0.49, + "grad_norm": 1.820180083241534, + "learning_rate": 1.0839120334294013e-05, + "loss": 0.8756, + "step": 20759 + }, + { + "epoch": 0.49, + "grad_norm": 1.5672698798931988, + "learning_rate": 1.083835998191073e-05, + "loss": 0.8329, + "step": 20760 + }, + { + "epoch": 0.49, + "grad_norm": 0.7731174362307913, + "learning_rate": 1.0837599624646251e-05, + "loss": 0.7329, + "step": 20761 + }, + { + "epoch": 0.49, + "grad_norm": 1.7481798834319016, + "learning_rate": 1.0836839262504998e-05, + "loss": 0.8662, + "step": 20762 + }, + { + "epoch": 0.49, + "grad_norm": 2.2570334106678547, + "learning_rate": 1.0836078895491408e-05, + "loss": 0.9434, + "step": 20763 + }, + { + "epoch": 0.49, + "grad_norm": 1.9573928385109916, + "learning_rate": 1.0835318523609897e-05, + "loss": 0.8462, + "step": 20764 + }, + { + "epoch": 0.49, + "grad_norm": 0.7678151427137213, + "learning_rate": 1.08345581468649e-05, + "loss": 0.6874, + "step": 20765 + }, + { + "epoch": 0.49, + "grad_norm": 1.6926898029196484, + "learning_rate": 1.0833797765260838e-05, + "loss": 0.8663, + "step": 20766 + }, + { + "epoch": 0.49, + "grad_norm": 1.6817516701519593, + "learning_rate": 1.0833037378802145e-05, + "loss": 0.9888, + "step": 20767 + }, + { + "epoch": 0.49, + "grad_norm": 1.6859630739819358, + "learning_rate": 1.0832276987493243e-05, + "loss": 0.9345, + "step": 20768 + }, + { + "epoch": 0.49, + "grad_norm": 1.6328128834018416, + "learning_rate": 1.083151659133856e-05, + "loss": 0.8503, + "step": 20769 + }, + { + "epoch": 0.49, + "grad_norm": 1.4546025541898848, + "learning_rate": 1.0830756190342528e-05, + "loss": 0.8321, + "step": 20770 + }, + { + "epoch": 0.49, + "grad_norm": 1.614949731938825, + "learning_rate": 1.0829995784509565e-05, + "loss": 0.9429, + "step": 20771 + }, + { + "epoch": 0.49, + "grad_norm": 1.4654151183650659, + "learning_rate": 1.0829235373844109e-05, + "loss": 0.8148, + "step": 20772 + }, + { + "epoch": 0.49, + "grad_norm": 1.5877752768967472, + "learning_rate": 1.0828474958350577e-05, + "loss": 0.8558, + "step": 20773 + }, + { + "epoch": 0.49, + "grad_norm": 1.5581192002099324, + "learning_rate": 1.0827714538033407e-05, + "loss": 0.9828, + "step": 20774 + }, + { + "epoch": 0.49, + "grad_norm": 1.7313549115438682, + "learning_rate": 1.0826954112897014e-05, + "loss": 0.9307, + "step": 20775 + }, + { + "epoch": 0.49, + "grad_norm": 1.7553248900087994, + "learning_rate": 1.0826193682945839e-05, + "loss": 0.7917, + "step": 20776 + }, + { + "epoch": 0.49, + "grad_norm": 0.7694537648639169, + "learning_rate": 1.0825433248184301e-05, + "loss": 0.7512, + "step": 20777 + }, + { + "epoch": 0.49, + "grad_norm": 1.7530001905403494, + "learning_rate": 1.0824672808616827e-05, + "loss": 0.952, + "step": 20778 + }, + { + "epoch": 0.49, + "grad_norm": 2.1347467408780303, + "learning_rate": 1.0823912364247848e-05, + "loss": 0.9006, + "step": 20779 + }, + { + "epoch": 0.49, + "grad_norm": 1.624940557643498, + "learning_rate": 1.0823151915081791e-05, + "loss": 0.8794, + "step": 20780 + }, + { + "epoch": 0.49, + "grad_norm": 0.7485256374482373, + "learning_rate": 1.0822391461123083e-05, + "loss": 0.7128, + "step": 20781 + }, + { + "epoch": 0.49, + "grad_norm": 1.6116750941991147, + "learning_rate": 1.0821631002376152e-05, + "loss": 0.9092, + "step": 20782 + }, + { + "epoch": 0.49, + "grad_norm": 1.451242309715871, + "learning_rate": 1.0820870538845423e-05, + "loss": 0.8586, + "step": 20783 + }, + { + "epoch": 0.49, + "grad_norm": 1.727939884764859, + "learning_rate": 1.0820110070535326e-05, + "loss": 0.7306, + "step": 20784 + }, + { + "epoch": 0.49, + "grad_norm": 2.327110741834155, + "learning_rate": 1.081934959745029e-05, + "loss": 0.7602, + "step": 20785 + }, + { + "epoch": 0.49, + "grad_norm": 1.7996605092794153, + "learning_rate": 1.081858911959474e-05, + "loss": 0.8953, + "step": 20786 + }, + { + "epoch": 0.49, + "grad_norm": 1.7953377504327483, + "learning_rate": 1.0817828636973106e-05, + "loss": 0.8096, + "step": 20787 + }, + { + "epoch": 0.49, + "grad_norm": 1.439078553936952, + "learning_rate": 1.0817068149589816e-05, + "loss": 0.8273, + "step": 20788 + }, + { + "epoch": 0.49, + "grad_norm": 1.6111481453342509, + "learning_rate": 1.0816307657449294e-05, + "loss": 0.9078, + "step": 20789 + }, + { + "epoch": 0.49, + "grad_norm": 1.7844490412090683, + "learning_rate": 1.0815547160555973e-05, + "loss": 0.8958, + "step": 20790 + }, + { + "epoch": 0.49, + "grad_norm": 1.6722701343122435, + "learning_rate": 1.0814786658914279e-05, + "loss": 0.8343, + "step": 20791 + }, + { + "epoch": 0.49, + "grad_norm": 1.600215413597511, + "learning_rate": 1.0814026152528634e-05, + "loss": 0.8652, + "step": 20792 + }, + { + "epoch": 0.49, + "grad_norm": 1.6371205551590697, + "learning_rate": 1.0813265641403476e-05, + "loss": 0.7397, + "step": 20793 + }, + { + "epoch": 0.49, + "grad_norm": 1.656969791789697, + "learning_rate": 1.0812505125543223e-05, + "loss": 1.0597, + "step": 20794 + }, + { + "epoch": 0.49, + "grad_norm": 1.931380865288011, + "learning_rate": 1.0811744604952312e-05, + "loss": 0.8343, + "step": 20795 + }, + { + "epoch": 0.49, + "grad_norm": 1.5338666473292712, + "learning_rate": 1.0810984079635164e-05, + "loss": 0.8632, + "step": 20796 + }, + { + "epoch": 0.49, + "grad_norm": 0.8119257484592541, + "learning_rate": 1.0810223549596215e-05, + "loss": 0.7511, + "step": 20797 + }, + { + "epoch": 0.49, + "grad_norm": 1.5306350987600492, + "learning_rate": 1.0809463014839884e-05, + "loss": 0.8748, + "step": 20798 + }, + { + "epoch": 0.49, + "grad_norm": 1.9734629109505772, + "learning_rate": 1.0808702475370603e-05, + "loss": 0.8813, + "step": 20799 + }, + { + "epoch": 0.49, + "grad_norm": 1.59360060620927, + "learning_rate": 1.0807941931192802e-05, + "loss": 0.839, + "step": 20800 + }, + { + "epoch": 0.49, + "grad_norm": 1.9450952974205094, + "learning_rate": 1.0807181382310904e-05, + "loss": 0.7923, + "step": 20801 + }, + { + "epoch": 0.49, + "grad_norm": 1.8813231541416475, + "learning_rate": 1.0806420828729345e-05, + "loss": 0.8279, + "step": 20802 + }, + { + "epoch": 0.49, + "grad_norm": 1.490209696949414, + "learning_rate": 1.0805660270452542e-05, + "loss": 0.8883, + "step": 20803 + }, + { + "epoch": 0.49, + "grad_norm": 1.7738298622651865, + "learning_rate": 1.0804899707484938e-05, + "loss": 0.8103, + "step": 20804 + }, + { + "epoch": 0.49, + "grad_norm": 1.8199807335927163, + "learning_rate": 1.0804139139830947e-05, + "loss": 0.9219, + "step": 20805 + }, + { + "epoch": 0.49, + "grad_norm": 0.7353701053266085, + "learning_rate": 1.0803378567495006e-05, + "loss": 0.7, + "step": 20806 + }, + { + "epoch": 0.49, + "grad_norm": 1.5720343492800268, + "learning_rate": 1.0802617990481542e-05, + "loss": 0.9417, + "step": 20807 + }, + { + "epoch": 0.49, + "grad_norm": 1.4166432624100846, + "learning_rate": 1.0801857408794978e-05, + "loss": 0.8789, + "step": 20808 + }, + { + "epoch": 0.49, + "grad_norm": 1.7669595202152764, + "learning_rate": 1.080109682243975e-05, + "loss": 0.8042, + "step": 20809 + }, + { + "epoch": 0.49, + "grad_norm": 1.7601777207881861, + "learning_rate": 1.0800336231420278e-05, + "loss": 0.8309, + "step": 20810 + }, + { + "epoch": 0.49, + "grad_norm": 1.7858460360780979, + "learning_rate": 1.0799575635741e-05, + "loss": 0.8256, + "step": 20811 + }, + { + "epoch": 0.49, + "grad_norm": 2.053340172508877, + "learning_rate": 1.079881503540634e-05, + "loss": 0.9553, + "step": 20812 + }, + { + "epoch": 0.49, + "grad_norm": 1.4180818595670437, + "learning_rate": 1.079805443042072e-05, + "loss": 0.824, + "step": 20813 + }, + { + "epoch": 0.49, + "grad_norm": 0.8922823582305858, + "learning_rate": 1.0797293820788578e-05, + "loss": 0.8202, + "step": 20814 + }, + { + "epoch": 0.49, + "grad_norm": 1.54311951516737, + "learning_rate": 1.079653320651434e-05, + "loss": 0.885, + "step": 20815 + }, + { + "epoch": 0.49, + "grad_norm": 1.481624552056782, + "learning_rate": 1.0795772587602432e-05, + "loss": 0.8691, + "step": 20816 + }, + { + "epoch": 0.49, + "grad_norm": 0.7489189564427754, + "learning_rate": 1.0795011964057285e-05, + "loss": 0.7453, + "step": 20817 + }, + { + "epoch": 0.49, + "grad_norm": 1.6072928803031765, + "learning_rate": 1.0794251335883326e-05, + "loss": 0.9101, + "step": 20818 + }, + { + "epoch": 0.49, + "grad_norm": 1.890451947573665, + "learning_rate": 1.0793490703084985e-05, + "loss": 0.8885, + "step": 20819 + }, + { + "epoch": 0.49, + "grad_norm": 1.9102006280679056, + "learning_rate": 1.0792730065666688e-05, + "loss": 0.9416, + "step": 20820 + }, + { + "epoch": 0.49, + "grad_norm": 1.6744853574774383, + "learning_rate": 1.0791969423632869e-05, + "loss": 0.7531, + "step": 20821 + }, + { + "epoch": 0.49, + "grad_norm": 1.812570031969033, + "learning_rate": 1.0791208776987949e-05, + "loss": 0.8641, + "step": 20822 + }, + { + "epoch": 0.49, + "grad_norm": 1.549034848749549, + "learning_rate": 1.0790448125736366e-05, + "loss": 0.7711, + "step": 20823 + }, + { + "epoch": 0.49, + "grad_norm": 1.868877841132654, + "learning_rate": 1.0789687469882538e-05, + "loss": 0.911, + "step": 20824 + }, + { + "epoch": 0.49, + "grad_norm": 1.784844004922259, + "learning_rate": 1.0788926809430904e-05, + "loss": 0.8453, + "step": 20825 + }, + { + "epoch": 0.49, + "grad_norm": 1.5938786963887281, + "learning_rate": 1.0788166144385888e-05, + "loss": 0.7642, + "step": 20826 + }, + { + "epoch": 0.49, + "grad_norm": 1.7955842284853822, + "learning_rate": 1.0787405474751917e-05, + "loss": 0.8136, + "step": 20827 + }, + { + "epoch": 0.49, + "grad_norm": 1.7466663358112573, + "learning_rate": 1.0786644800533423e-05, + "loss": 0.8734, + "step": 20828 + }, + { + "epoch": 0.49, + "grad_norm": 0.7794636274448489, + "learning_rate": 1.0785884121734836e-05, + "loss": 0.7005, + "step": 20829 + }, + { + "epoch": 0.49, + "grad_norm": 0.7655332961071855, + "learning_rate": 1.0785123438360578e-05, + "loss": 0.7765, + "step": 20830 + }, + { + "epoch": 0.49, + "grad_norm": 1.657316494073292, + "learning_rate": 1.0784362750415088e-05, + "loss": 0.9889, + "step": 20831 + }, + { + "epoch": 0.49, + "grad_norm": 1.4769341521285462, + "learning_rate": 1.0783602057902786e-05, + "loss": 0.94, + "step": 20832 + }, + { + "epoch": 0.49, + "grad_norm": 1.6914181427022694, + "learning_rate": 1.0782841360828107e-05, + "loss": 0.9107, + "step": 20833 + }, + { + "epoch": 0.49, + "grad_norm": 2.0958354557432086, + "learning_rate": 1.0782080659195475e-05, + "loss": 0.7723, + "step": 20834 + }, + { + "epoch": 0.49, + "grad_norm": 1.6283055767123737, + "learning_rate": 1.0781319953009324e-05, + "loss": 0.9768, + "step": 20835 + }, + { + "epoch": 0.49, + "grad_norm": 1.7377557594780502, + "learning_rate": 1.078055924227408e-05, + "loss": 0.905, + "step": 20836 + }, + { + "epoch": 0.49, + "grad_norm": 1.5952653946571964, + "learning_rate": 1.0779798526994173e-05, + "loss": 0.8866, + "step": 20837 + }, + { + "epoch": 0.49, + "grad_norm": 2.0941337385141767, + "learning_rate": 1.0779037807174032e-05, + "loss": 0.8724, + "step": 20838 + }, + { + "epoch": 0.49, + "grad_norm": 1.8551054970225132, + "learning_rate": 1.077827708281809e-05, + "loss": 0.715, + "step": 20839 + }, + { + "epoch": 0.49, + "grad_norm": 1.6394796066391286, + "learning_rate": 1.0777516353930767e-05, + "loss": 0.759, + "step": 20840 + }, + { + "epoch": 0.49, + "grad_norm": 1.9398138427452551, + "learning_rate": 1.0776755620516501e-05, + "loss": 0.8382, + "step": 20841 + }, + { + "epoch": 0.49, + "grad_norm": 1.8818109651224053, + "learning_rate": 1.0775994882579718e-05, + "loss": 0.8423, + "step": 20842 + }, + { + "epoch": 0.49, + "grad_norm": 4.780615200556561, + "learning_rate": 1.0775234140124845e-05, + "loss": 0.8595, + "step": 20843 + }, + { + "epoch": 0.49, + "grad_norm": 1.7083912146338092, + "learning_rate": 1.0774473393156315e-05, + "loss": 0.8157, + "step": 20844 + }, + { + "epoch": 0.49, + "grad_norm": 1.9786235012588138, + "learning_rate": 1.0773712641678553e-05, + "loss": 0.8554, + "step": 20845 + }, + { + "epoch": 0.49, + "grad_norm": 1.605657658273022, + "learning_rate": 1.0772951885695994e-05, + "loss": 0.9452, + "step": 20846 + }, + { + "epoch": 0.49, + "grad_norm": 0.7167710285409744, + "learning_rate": 1.0772191125213063e-05, + "loss": 0.7352, + "step": 20847 + }, + { + "epoch": 0.49, + "grad_norm": 1.5532727475530081, + "learning_rate": 1.0771430360234194e-05, + "loss": 0.8935, + "step": 20848 + }, + { + "epoch": 0.49, + "grad_norm": 1.7057721446553153, + "learning_rate": 1.0770669590763809e-05, + "loss": 0.9704, + "step": 20849 + }, + { + "epoch": 0.49, + "grad_norm": 1.7128625562665531, + "learning_rate": 1.0769908816806343e-05, + "loss": 0.99, + "step": 20850 + }, + { + "epoch": 0.49, + "grad_norm": 3.9912115624518076, + "learning_rate": 1.0769148038366223e-05, + "loss": 0.9055, + "step": 20851 + }, + { + "epoch": 0.49, + "grad_norm": 0.7545952186450747, + "learning_rate": 1.076838725544788e-05, + "loss": 0.7037, + "step": 20852 + }, + { + "epoch": 0.49, + "grad_norm": 2.0816752306523654, + "learning_rate": 1.0767626468055747e-05, + "loss": 0.9702, + "step": 20853 + }, + { + "epoch": 0.49, + "grad_norm": 1.7234845451243412, + "learning_rate": 1.0766865676194245e-05, + "loss": 0.7229, + "step": 20854 + }, + { + "epoch": 0.49, + "grad_norm": 2.153413853146304, + "learning_rate": 1.0766104879867811e-05, + "loss": 0.6296, + "step": 20855 + }, + { + "epoch": 0.49, + "grad_norm": 1.790656188199441, + "learning_rate": 1.076534407908087e-05, + "loss": 0.9483, + "step": 20856 + }, + { + "epoch": 0.49, + "grad_norm": 1.7887784491174201, + "learning_rate": 1.0764583273837855e-05, + "loss": 0.959, + "step": 20857 + }, + { + "epoch": 0.49, + "grad_norm": 1.968124474632756, + "learning_rate": 1.0763822464143191e-05, + "loss": 0.9178, + "step": 20858 + }, + { + "epoch": 0.49, + "grad_norm": 1.566484572799923, + "learning_rate": 1.0763061650001314e-05, + "loss": 0.8257, + "step": 20859 + }, + { + "epoch": 0.49, + "grad_norm": 1.7337568608967024, + "learning_rate": 1.076230083141665e-05, + "loss": 0.8605, + "step": 20860 + }, + { + "epoch": 0.49, + "grad_norm": 2.063126408732457, + "learning_rate": 1.076154000839363e-05, + "loss": 0.795, + "step": 20861 + }, + { + "epoch": 0.49, + "grad_norm": 1.5916227564335084, + "learning_rate": 1.076077918093668e-05, + "loss": 0.8622, + "step": 20862 + }, + { + "epoch": 0.49, + "grad_norm": 1.7754807244291304, + "learning_rate": 1.0760018349050236e-05, + "loss": 0.7966, + "step": 20863 + }, + { + "epoch": 0.49, + "grad_norm": 1.5892931713912455, + "learning_rate": 1.0759257512738723e-05, + "loss": 0.8837, + "step": 20864 + }, + { + "epoch": 0.49, + "grad_norm": 1.4763116339212872, + "learning_rate": 1.0758496672006571e-05, + "loss": 0.7675, + "step": 20865 + }, + { + "epoch": 0.49, + "grad_norm": 1.7100267661249722, + "learning_rate": 1.0757735826858213e-05, + "loss": 0.8626, + "step": 20866 + }, + { + "epoch": 0.49, + "grad_norm": 1.6606420976752194, + "learning_rate": 1.0756974977298078e-05, + "loss": 0.8028, + "step": 20867 + }, + { + "epoch": 0.49, + "grad_norm": 0.7618331825898529, + "learning_rate": 1.0756214123330593e-05, + "loss": 0.7536, + "step": 20868 + }, + { + "epoch": 0.49, + "grad_norm": 2.0045334629018488, + "learning_rate": 1.0755453264960192e-05, + "loss": 1.0582, + "step": 20869 + }, + { + "epoch": 0.49, + "grad_norm": 2.2056864720457408, + "learning_rate": 1.0754692402191303e-05, + "loss": 0.7269, + "step": 20870 + }, + { + "epoch": 0.49, + "grad_norm": 1.4418077368066813, + "learning_rate": 1.0753931535028353e-05, + "loss": 0.9825, + "step": 20871 + }, + { + "epoch": 0.49, + "grad_norm": 1.6038414994851005, + "learning_rate": 1.0753170663475778e-05, + "loss": 0.8451, + "step": 20872 + }, + { + "epoch": 0.49, + "grad_norm": 2.005077382871523, + "learning_rate": 1.0752409787538e-05, + "loss": 0.9052, + "step": 20873 + }, + { + "epoch": 0.49, + "grad_norm": 1.5659460439773172, + "learning_rate": 1.0751648907219461e-05, + "loss": 0.8962, + "step": 20874 + }, + { + "epoch": 0.49, + "grad_norm": 1.693354679426197, + "learning_rate": 1.075088802252458e-05, + "loss": 0.8065, + "step": 20875 + }, + { + "epoch": 0.49, + "grad_norm": 1.5303050654821222, + "learning_rate": 1.0750127133457792e-05, + "loss": 0.8564, + "step": 20876 + }, + { + "epoch": 0.49, + "grad_norm": 1.566266663953381, + "learning_rate": 1.0749366240023526e-05, + "loss": 0.8315, + "step": 20877 + }, + { + "epoch": 0.49, + "grad_norm": 1.5154429137321632, + "learning_rate": 1.0748605342226213e-05, + "loss": 0.8985, + "step": 20878 + }, + { + "epoch": 0.49, + "grad_norm": 1.494424080140688, + "learning_rate": 1.0747844440070284e-05, + "loss": 0.9709, + "step": 20879 + }, + { + "epoch": 0.49, + "grad_norm": 1.9853717312108519, + "learning_rate": 1.0747083533560166e-05, + "loss": 0.9437, + "step": 20880 + }, + { + "epoch": 0.49, + "grad_norm": 1.745598359193529, + "learning_rate": 1.0746322622700289e-05, + "loss": 0.8977, + "step": 20881 + }, + { + "epoch": 0.49, + "grad_norm": 1.6025724165997417, + "learning_rate": 1.0745561707495088e-05, + "loss": 0.7833, + "step": 20882 + }, + { + "epoch": 0.49, + "grad_norm": 0.8823538433774053, + "learning_rate": 1.074480078794899e-05, + "loss": 0.7731, + "step": 20883 + }, + { + "epoch": 0.49, + "grad_norm": 2.305722389867889, + "learning_rate": 1.0744039864066427e-05, + "loss": 0.8355, + "step": 20884 + }, + { + "epoch": 0.49, + "grad_norm": 1.68961293267122, + "learning_rate": 1.0743278935851828e-05, + "loss": 0.9472, + "step": 20885 + }, + { + "epoch": 0.49, + "grad_norm": 0.7561969371992554, + "learning_rate": 1.0742518003309624e-05, + "loss": 0.6942, + "step": 20886 + }, + { + "epoch": 0.49, + "grad_norm": 2.4507410422398097, + "learning_rate": 1.0741757066444244e-05, + "loss": 0.874, + "step": 20887 + }, + { + "epoch": 0.49, + "grad_norm": 2.265641385630125, + "learning_rate": 1.0740996125260122e-05, + "loss": 0.8351, + "step": 20888 + }, + { + "epoch": 0.49, + "grad_norm": 1.6155482982306588, + "learning_rate": 1.0740235179761682e-05, + "loss": 0.9437, + "step": 20889 + }, + { + "epoch": 0.49, + "grad_norm": 1.5916322240663991, + "learning_rate": 1.0739474229953362e-05, + "loss": 0.8322, + "step": 20890 + }, + { + "epoch": 0.49, + "grad_norm": 1.514322012440531, + "learning_rate": 1.073871327583959e-05, + "loss": 0.8101, + "step": 20891 + }, + { + "epoch": 0.49, + "grad_norm": 6.210515402984382, + "learning_rate": 1.0737952317424789e-05, + "loss": 0.8627, + "step": 20892 + }, + { + "epoch": 0.49, + "grad_norm": 1.5190273941163404, + "learning_rate": 1.0737191354713403e-05, + "loss": 0.8081, + "step": 20893 + }, + { + "epoch": 0.49, + "grad_norm": 1.5223737602289538, + "learning_rate": 1.0736430387709851e-05, + "loss": 0.8448, + "step": 20894 + }, + { + "epoch": 0.49, + "grad_norm": 1.6701624061987108, + "learning_rate": 1.0735669416418571e-05, + "loss": 0.8276, + "step": 20895 + }, + { + "epoch": 0.49, + "grad_norm": 3.103057842063493, + "learning_rate": 1.0734908440843987e-05, + "loss": 0.9087, + "step": 20896 + }, + { + "epoch": 0.49, + "grad_norm": 1.688558327078628, + "learning_rate": 1.0734147460990539e-05, + "loss": 0.8276, + "step": 20897 + }, + { + "epoch": 0.49, + "grad_norm": 1.405616609353082, + "learning_rate": 1.0733386476862649e-05, + "loss": 0.8542, + "step": 20898 + }, + { + "epoch": 0.49, + "grad_norm": 1.5996154235136284, + "learning_rate": 1.0732625488464749e-05, + "loss": 0.7607, + "step": 20899 + }, + { + "epoch": 0.49, + "grad_norm": 1.920918421542563, + "learning_rate": 1.0731864495801272e-05, + "loss": 0.9903, + "step": 20900 + }, + { + "epoch": 0.49, + "grad_norm": 1.5364763369665544, + "learning_rate": 1.0731103498876647e-05, + "loss": 0.7931, + "step": 20901 + }, + { + "epoch": 0.49, + "grad_norm": 3.83064258762873, + "learning_rate": 1.0730342497695312e-05, + "loss": 0.9183, + "step": 20902 + }, + { + "epoch": 0.49, + "grad_norm": 1.6722683587597162, + "learning_rate": 1.0729581492261684e-05, + "loss": 0.8578, + "step": 20903 + }, + { + "epoch": 0.49, + "grad_norm": 1.5394101468074701, + "learning_rate": 1.072882048258021e-05, + "loss": 0.8207, + "step": 20904 + }, + { + "epoch": 0.49, + "grad_norm": 1.7153864702960817, + "learning_rate": 1.0728059468655303e-05, + "loss": 0.7931, + "step": 20905 + }, + { + "epoch": 0.49, + "grad_norm": 1.7767197068518024, + "learning_rate": 1.0727298450491413e-05, + "loss": 0.9074, + "step": 20906 + }, + { + "epoch": 0.49, + "grad_norm": 1.9995677238290004, + "learning_rate": 1.0726537428092956e-05, + "loss": 0.8608, + "step": 20907 + }, + { + "epoch": 0.49, + "grad_norm": 1.9146576910905315, + "learning_rate": 1.0725776401464366e-05, + "loss": 0.7817, + "step": 20908 + }, + { + "epoch": 0.49, + "grad_norm": 1.8216176933418415, + "learning_rate": 1.0725015370610078e-05, + "loss": 0.8953, + "step": 20909 + }, + { + "epoch": 0.49, + "grad_norm": 1.5229439992737253, + "learning_rate": 1.0724254335534524e-05, + "loss": 0.8151, + "step": 20910 + }, + { + "epoch": 0.49, + "grad_norm": 1.640242867088388, + "learning_rate": 1.0723493296242129e-05, + "loss": 0.9243, + "step": 20911 + }, + { + "epoch": 0.49, + "grad_norm": 1.611482281716169, + "learning_rate": 1.0722732252737327e-05, + "loss": 0.9068, + "step": 20912 + }, + { + "epoch": 0.49, + "grad_norm": 2.17880917832693, + "learning_rate": 1.072197120502455e-05, + "loss": 0.9773, + "step": 20913 + }, + { + "epoch": 0.49, + "grad_norm": 1.4582962142457965, + "learning_rate": 1.0721210153108226e-05, + "loss": 0.8848, + "step": 20914 + }, + { + "epoch": 0.49, + "grad_norm": 2.1983575268229907, + "learning_rate": 1.072044909699279e-05, + "loss": 0.881, + "step": 20915 + }, + { + "epoch": 0.49, + "grad_norm": 1.6517652961073257, + "learning_rate": 1.0719688036682672e-05, + "loss": 0.8954, + "step": 20916 + }, + { + "epoch": 0.49, + "grad_norm": 1.7636987817703658, + "learning_rate": 1.07189269721823e-05, + "loss": 0.8624, + "step": 20917 + }, + { + "epoch": 0.49, + "grad_norm": 2.047408828415218, + "learning_rate": 1.0718165903496109e-05, + "loss": 0.8351, + "step": 20918 + }, + { + "epoch": 0.49, + "grad_norm": 1.599885532194717, + "learning_rate": 1.0717404830628529e-05, + "loss": 0.8517, + "step": 20919 + }, + { + "epoch": 0.49, + "grad_norm": 1.686370344011247, + "learning_rate": 1.071664375358399e-05, + "loss": 0.9075, + "step": 20920 + }, + { + "epoch": 0.49, + "grad_norm": 1.7230768526892437, + "learning_rate": 1.0715882672366926e-05, + "loss": 0.9874, + "step": 20921 + }, + { + "epoch": 0.49, + "grad_norm": 2.0933178805878385, + "learning_rate": 1.0715121586981763e-05, + "loss": 1.0304, + "step": 20922 + }, + { + "epoch": 0.49, + "grad_norm": 1.4270100015343132, + "learning_rate": 1.071436049743294e-05, + "loss": 0.8502, + "step": 20923 + }, + { + "epoch": 0.49, + "grad_norm": 1.5998965352833765, + "learning_rate": 1.0713599403724879e-05, + "loss": 0.8013, + "step": 20924 + }, + { + "epoch": 0.49, + "grad_norm": 1.5890580721262364, + "learning_rate": 1.0712838305862023e-05, + "loss": 0.8481, + "step": 20925 + }, + { + "epoch": 0.49, + "grad_norm": 1.770168887150953, + "learning_rate": 1.071207720384879e-05, + "loss": 0.8518, + "step": 20926 + }, + { + "epoch": 0.49, + "grad_norm": 1.577987300199751, + "learning_rate": 1.0711316097689623e-05, + "loss": 0.8473, + "step": 20927 + }, + { + "epoch": 0.49, + "grad_norm": 0.7261003749374767, + "learning_rate": 1.0710554987388946e-05, + "loss": 0.774, + "step": 20928 + }, + { + "epoch": 0.49, + "grad_norm": 0.847676791739997, + "learning_rate": 1.0709793872951193e-05, + "loss": 0.7799, + "step": 20929 + }, + { + "epoch": 0.49, + "grad_norm": 1.5864666073930092, + "learning_rate": 1.0709032754380797e-05, + "loss": 0.905, + "step": 20930 + }, + { + "epoch": 0.49, + "grad_norm": 1.6307817669779519, + "learning_rate": 1.0708271631682186e-05, + "loss": 0.763, + "step": 20931 + }, + { + "epoch": 0.49, + "grad_norm": 1.8120248257174036, + "learning_rate": 1.0707510504859795e-05, + "loss": 0.9633, + "step": 20932 + }, + { + "epoch": 0.49, + "grad_norm": 1.7006891961324426, + "learning_rate": 1.070674937391805e-05, + "loss": 0.8081, + "step": 20933 + }, + { + "epoch": 0.49, + "grad_norm": 0.7045991272258572, + "learning_rate": 1.0705988238861391e-05, + "loss": 0.7076, + "step": 20934 + }, + { + "epoch": 0.49, + "grad_norm": 1.7062572541932528, + "learning_rate": 1.0705227099694242e-05, + "loss": 0.8431, + "step": 20935 + }, + { + "epoch": 0.49, + "grad_norm": 1.6799385081470843, + "learning_rate": 1.070446595642104e-05, + "loss": 0.9404, + "step": 20936 + }, + { + "epoch": 0.49, + "grad_norm": 1.706722935374691, + "learning_rate": 1.0703704809046211e-05, + "loss": 0.8763, + "step": 20937 + }, + { + "epoch": 0.49, + "grad_norm": 1.57983004598697, + "learning_rate": 1.0702943657574193e-05, + "loss": 0.935, + "step": 20938 + }, + { + "epoch": 0.49, + "grad_norm": 1.677457233809996, + "learning_rate": 1.0702182502009412e-05, + "loss": 0.7406, + "step": 20939 + }, + { + "epoch": 0.49, + "grad_norm": 0.818553993155371, + "learning_rate": 1.0701421342356304e-05, + "loss": 0.7238, + "step": 20940 + }, + { + "epoch": 0.49, + "grad_norm": 0.7555974220247058, + "learning_rate": 1.0700660178619297e-05, + "loss": 0.6798, + "step": 20941 + }, + { + "epoch": 0.49, + "grad_norm": 1.7982964155371441, + "learning_rate": 1.069989901080283e-05, + "loss": 0.887, + "step": 20942 + }, + { + "epoch": 0.49, + "grad_norm": 1.4711021916529452, + "learning_rate": 1.0699137838911323e-05, + "loss": 0.8017, + "step": 20943 + }, + { + "epoch": 0.49, + "grad_norm": 1.5652409470498199, + "learning_rate": 1.0698376662949217e-05, + "loss": 0.8338, + "step": 20944 + }, + { + "epoch": 0.49, + "grad_norm": 1.7651594756237032, + "learning_rate": 1.0697615482920937e-05, + "loss": 0.7678, + "step": 20945 + }, + { + "epoch": 0.49, + "grad_norm": 1.6769508073426649, + "learning_rate": 1.0696854298830925e-05, + "loss": 0.9118, + "step": 20946 + }, + { + "epoch": 0.49, + "grad_norm": 2.086508192605957, + "learning_rate": 1.0696093110683603e-05, + "loss": 0.9801, + "step": 20947 + }, + { + "epoch": 0.49, + "grad_norm": 2.932272571215264, + "learning_rate": 1.069533191848341e-05, + "loss": 0.955, + "step": 20948 + }, + { + "epoch": 0.49, + "grad_norm": 1.6539747848477822, + "learning_rate": 1.0694570722234769e-05, + "loss": 0.8633, + "step": 20949 + }, + { + "epoch": 0.49, + "grad_norm": 1.4812270134019865, + "learning_rate": 1.0693809521942118e-05, + "loss": 0.8516, + "step": 20950 + }, + { + "epoch": 0.49, + "grad_norm": 2.019685747774531, + "learning_rate": 1.0693048317609893e-05, + "loss": 0.8955, + "step": 20951 + }, + { + "epoch": 0.49, + "grad_norm": 1.7746820475778688, + "learning_rate": 1.0692287109242516e-05, + "loss": 0.8215, + "step": 20952 + }, + { + "epoch": 0.49, + "grad_norm": 2.0950876513283334, + "learning_rate": 1.069152589684443e-05, + "loss": 0.8002, + "step": 20953 + }, + { + "epoch": 0.49, + "grad_norm": 1.4162609005068456, + "learning_rate": 1.0690764680420056e-05, + "loss": 0.865, + "step": 20954 + }, + { + "epoch": 0.49, + "grad_norm": 1.9472347543918094, + "learning_rate": 1.0690003459973836e-05, + "loss": 0.9356, + "step": 20955 + }, + { + "epoch": 0.49, + "grad_norm": 1.4808029008680474, + "learning_rate": 1.0689242235510195e-05, + "loss": 0.8742, + "step": 20956 + }, + { + "epoch": 0.49, + "grad_norm": 2.1690335556230442, + "learning_rate": 1.0688481007033566e-05, + "loss": 0.9858, + "step": 20957 + }, + { + "epoch": 0.49, + "grad_norm": 1.4436245185039338, + "learning_rate": 1.0687719774548384e-05, + "loss": 0.7754, + "step": 20958 + }, + { + "epoch": 0.49, + "grad_norm": 1.434960528022441, + "learning_rate": 1.068695853805908e-05, + "loss": 0.9702, + "step": 20959 + }, + { + "epoch": 0.49, + "grad_norm": 1.360945421914972, + "learning_rate": 1.0686197297570087e-05, + "loss": 0.9085, + "step": 20960 + }, + { + "epoch": 0.49, + "grad_norm": 2.086156345641532, + "learning_rate": 1.0685436053085833e-05, + "loss": 0.7793, + "step": 20961 + }, + { + "epoch": 0.49, + "grad_norm": 1.4953382256727938, + "learning_rate": 1.0684674804610756e-05, + "loss": 0.8967, + "step": 20962 + }, + { + "epoch": 0.49, + "grad_norm": 2.970782488719627, + "learning_rate": 1.0683913552149286e-05, + "loss": 0.8667, + "step": 20963 + }, + { + "epoch": 0.49, + "grad_norm": 1.9432875319840246, + "learning_rate": 1.0683152295705853e-05, + "loss": 0.871, + "step": 20964 + }, + { + "epoch": 0.49, + "grad_norm": 1.6552746996762238, + "learning_rate": 1.0682391035284892e-05, + "loss": 0.7774, + "step": 20965 + }, + { + "epoch": 0.49, + "grad_norm": 2.4677740865937885, + "learning_rate": 1.0681629770890832e-05, + "loss": 0.9726, + "step": 20966 + }, + { + "epoch": 0.49, + "grad_norm": 2.2356414348140277, + "learning_rate": 1.068086850252811e-05, + "loss": 0.8463, + "step": 20967 + }, + { + "epoch": 0.49, + "grad_norm": 1.57475799792263, + "learning_rate": 1.0680107230201155e-05, + "loss": 0.8617, + "step": 20968 + }, + { + "epoch": 0.49, + "grad_norm": 1.5670802758035844, + "learning_rate": 1.06793459539144e-05, + "loss": 0.8747, + "step": 20969 + }, + { + "epoch": 0.49, + "grad_norm": 1.8389974233102295, + "learning_rate": 1.0678584673672279e-05, + "loss": 0.8295, + "step": 20970 + }, + { + "epoch": 0.49, + "grad_norm": 1.6982810004769184, + "learning_rate": 1.0677823389479223e-05, + "loss": 0.7626, + "step": 20971 + }, + { + "epoch": 0.49, + "grad_norm": 1.5572670806758675, + "learning_rate": 1.0677062101339666e-05, + "loss": 0.8691, + "step": 20972 + }, + { + "epoch": 0.49, + "grad_norm": 1.7617593756477612, + "learning_rate": 1.0676300809258035e-05, + "loss": 0.8009, + "step": 20973 + }, + { + "epoch": 0.49, + "grad_norm": 1.9106763859275178, + "learning_rate": 1.0675539513238774e-05, + "loss": 0.7708, + "step": 20974 + }, + { + "epoch": 0.49, + "grad_norm": 2.1581410934468384, + "learning_rate": 1.06747782132863e-05, + "loss": 0.9075, + "step": 20975 + }, + { + "epoch": 0.49, + "grad_norm": 1.5112806720514165, + "learning_rate": 1.0674016909405059e-05, + "loss": 0.7412, + "step": 20976 + }, + { + "epoch": 0.49, + "grad_norm": 1.5730915893234838, + "learning_rate": 1.0673255601599472e-05, + "loss": 0.9953, + "step": 20977 + }, + { + "epoch": 0.49, + "grad_norm": 1.4506251682651736, + "learning_rate": 1.0672494289873985e-05, + "loss": 0.824, + "step": 20978 + }, + { + "epoch": 0.49, + "grad_norm": 1.7939351102453736, + "learning_rate": 1.067173297423302e-05, + "loss": 0.9226, + "step": 20979 + }, + { + "epoch": 0.49, + "grad_norm": 2.0648360388286298, + "learning_rate": 1.0670971654681014e-05, + "loss": 0.8873, + "step": 20980 + }, + { + "epoch": 0.49, + "grad_norm": 1.722731970681374, + "learning_rate": 1.0670210331222397e-05, + "loss": 0.9725, + "step": 20981 + }, + { + "epoch": 0.49, + "grad_norm": 1.7548101463494985, + "learning_rate": 1.0669449003861603e-05, + "loss": 0.8472, + "step": 20982 + }, + { + "epoch": 0.49, + "grad_norm": 0.8779024289909706, + "learning_rate": 1.0668687672603066e-05, + "loss": 0.7238, + "step": 20983 + }, + { + "epoch": 0.49, + "grad_norm": 1.6109755290300802, + "learning_rate": 1.0667926337451217e-05, + "loss": 0.8119, + "step": 20984 + }, + { + "epoch": 0.49, + "grad_norm": 0.7857447470678819, + "learning_rate": 1.0667164998410491e-05, + "loss": 0.7636, + "step": 20985 + }, + { + "epoch": 0.49, + "grad_norm": 1.9600668137534647, + "learning_rate": 1.0666403655485318e-05, + "loss": 0.8317, + "step": 20986 + }, + { + "epoch": 0.49, + "grad_norm": 1.6220977307637157, + "learning_rate": 1.066564230868013e-05, + "loss": 0.8508, + "step": 20987 + }, + { + "epoch": 0.49, + "grad_norm": 1.8243956137424655, + "learning_rate": 1.0664880957999365e-05, + "loss": 0.8604, + "step": 20988 + }, + { + "epoch": 0.49, + "grad_norm": 1.584158560162457, + "learning_rate": 1.0664119603447451e-05, + "loss": 0.9053, + "step": 20989 + }, + { + "epoch": 0.49, + "grad_norm": 1.5678466642683866, + "learning_rate": 1.0663358245028822e-05, + "loss": 0.8887, + "step": 20990 + }, + { + "epoch": 0.49, + "grad_norm": 1.8843416551529297, + "learning_rate": 1.0662596882747913e-05, + "loss": 0.728, + "step": 20991 + }, + { + "epoch": 0.49, + "grad_norm": 2.007077220478652, + "learning_rate": 1.0661835516609153e-05, + "loss": 0.9294, + "step": 20992 + }, + { + "epoch": 0.49, + "grad_norm": 1.6074598185938203, + "learning_rate": 1.066107414661698e-05, + "loss": 0.8567, + "step": 20993 + }, + { + "epoch": 0.49, + "grad_norm": 1.4428427436668876, + "learning_rate": 1.066031277277582e-05, + "loss": 0.8237, + "step": 20994 + }, + { + "epoch": 0.49, + "grad_norm": 0.7761780057364648, + "learning_rate": 1.0659551395090115e-05, + "loss": 0.6948, + "step": 20995 + }, + { + "epoch": 0.49, + "grad_norm": 1.6601282216784485, + "learning_rate": 1.0658790013564289e-05, + "loss": 0.8302, + "step": 20996 + }, + { + "epoch": 0.49, + "grad_norm": 1.7205584959301674, + "learning_rate": 1.0658028628202782e-05, + "loss": 0.8401, + "step": 20997 + }, + { + "epoch": 0.49, + "grad_norm": 1.6932911690007142, + "learning_rate": 1.0657267239010021e-05, + "loss": 0.8197, + "step": 20998 + }, + { + "epoch": 0.49, + "grad_norm": 2.109368433006648, + "learning_rate": 1.0656505845990442e-05, + "loss": 0.8805, + "step": 20999 + }, + { + "epoch": 0.49, + "grad_norm": 2.0280990142380846, + "learning_rate": 1.0655744449148482e-05, + "loss": 0.8672, + "step": 21000 + }, + { + "epoch": 0.49, + "grad_norm": 0.7474313173435166, + "learning_rate": 1.0654983048488566e-05, + "loss": 0.6643, + "step": 21001 + }, + { + "epoch": 0.49, + "grad_norm": 1.702274459469771, + "learning_rate": 1.0654221644015135e-05, + "loss": 0.9134, + "step": 21002 + }, + { + "epoch": 0.49, + "grad_norm": 1.5309597841677156, + "learning_rate": 1.0653460235732613e-05, + "loss": 0.9173, + "step": 21003 + }, + { + "epoch": 0.49, + "grad_norm": 5.0980944013679315, + "learning_rate": 1.0652698823645444e-05, + "loss": 0.8025, + "step": 21004 + }, + { + "epoch": 0.49, + "grad_norm": 1.8881170783418864, + "learning_rate": 1.0651937407758052e-05, + "loss": 0.8331, + "step": 21005 + }, + { + "epoch": 0.49, + "grad_norm": 1.8572513903708323, + "learning_rate": 1.0651175988074877e-05, + "loss": 1.01, + "step": 21006 + }, + { + "epoch": 0.49, + "grad_norm": 1.640574399594974, + "learning_rate": 1.0650414564600349e-05, + "loss": 0.951, + "step": 21007 + }, + { + "epoch": 0.49, + "grad_norm": 1.5765773865397577, + "learning_rate": 1.06496531373389e-05, + "loss": 0.8386, + "step": 21008 + }, + { + "epoch": 0.49, + "grad_norm": 0.7354664800620592, + "learning_rate": 1.0648891706294967e-05, + "loss": 0.7577, + "step": 21009 + }, + { + "epoch": 0.49, + "grad_norm": 0.7346267685338875, + "learning_rate": 1.0648130271472978e-05, + "loss": 0.7477, + "step": 21010 + }, + { + "epoch": 0.5, + "grad_norm": 1.8510045214484392, + "learning_rate": 1.0647368832877371e-05, + "loss": 0.8436, + "step": 21011 + }, + { + "epoch": 0.5, + "grad_norm": 0.7708102953869301, + "learning_rate": 1.0646607390512578e-05, + "loss": 0.7306, + "step": 21012 + }, + { + "epoch": 0.5, + "grad_norm": 1.5910185570877742, + "learning_rate": 1.064584594438303e-05, + "loss": 0.744, + "step": 21013 + }, + { + "epoch": 0.5, + "grad_norm": 1.4694790961717048, + "learning_rate": 1.0645084494493166e-05, + "loss": 0.8915, + "step": 21014 + }, + { + "epoch": 0.5, + "grad_norm": 1.8801079215388168, + "learning_rate": 1.0644323040847414e-05, + "loss": 0.9932, + "step": 21015 + }, + { + "epoch": 0.5, + "grad_norm": 1.6950432847010501, + "learning_rate": 1.0643561583450208e-05, + "loss": 0.8087, + "step": 21016 + }, + { + "epoch": 0.5, + "grad_norm": 1.4935067135207931, + "learning_rate": 1.0642800122305983e-05, + "loss": 0.8862, + "step": 21017 + }, + { + "epoch": 0.5, + "grad_norm": 1.5523536782804843, + "learning_rate": 1.0642038657419174e-05, + "loss": 0.8149, + "step": 21018 + }, + { + "epoch": 0.5, + "grad_norm": 0.8167111806809985, + "learning_rate": 1.064127718879421e-05, + "loss": 0.7844, + "step": 21019 + }, + { + "epoch": 0.5, + "grad_norm": 1.7878732118525367, + "learning_rate": 1.0640515716435529e-05, + "loss": 0.8664, + "step": 21020 + }, + { + "epoch": 0.5, + "grad_norm": 3.7897892374314797, + "learning_rate": 1.0639754240347564e-05, + "loss": 0.9297, + "step": 21021 + }, + { + "epoch": 0.5, + "grad_norm": 2.102971722788658, + "learning_rate": 1.0638992760534743e-05, + "loss": 0.8954, + "step": 21022 + }, + { + "epoch": 0.5, + "grad_norm": 2.8366776753313974, + "learning_rate": 1.063823127700151e-05, + "loss": 0.8391, + "step": 21023 + }, + { + "epoch": 0.5, + "grad_norm": 1.704859456835255, + "learning_rate": 1.0637469789752286e-05, + "loss": 0.9929, + "step": 21024 + }, + { + "epoch": 0.5, + "grad_norm": 1.644556248985522, + "learning_rate": 1.0636708298791515e-05, + "loss": 1.0154, + "step": 21025 + }, + { + "epoch": 0.5, + "grad_norm": 1.6872854407861804, + "learning_rate": 1.0635946804123625e-05, + "loss": 1.0658, + "step": 21026 + }, + { + "epoch": 0.5, + "grad_norm": 1.5634052530934375, + "learning_rate": 1.0635185305753054e-05, + "loss": 0.8698, + "step": 21027 + }, + { + "epoch": 0.5, + "grad_norm": 1.765376420781081, + "learning_rate": 1.0634423803684231e-05, + "loss": 0.861, + "step": 21028 + }, + { + "epoch": 0.5, + "grad_norm": 1.4614315615747429, + "learning_rate": 1.0633662297921595e-05, + "loss": 0.9081, + "step": 21029 + }, + { + "epoch": 0.5, + "grad_norm": 1.5708404437031585, + "learning_rate": 1.0632900788469572e-05, + "loss": 0.8917, + "step": 21030 + }, + { + "epoch": 0.5, + "grad_norm": 1.593950529804848, + "learning_rate": 1.06321392753326e-05, + "loss": 0.9487, + "step": 21031 + }, + { + "epoch": 0.5, + "grad_norm": 1.6026261631862848, + "learning_rate": 1.0631377758515116e-05, + "loss": 0.8389, + "step": 21032 + }, + { + "epoch": 0.5, + "grad_norm": 0.7398006654154431, + "learning_rate": 1.0630616238021549e-05, + "loss": 0.6631, + "step": 21033 + }, + { + "epoch": 0.5, + "grad_norm": 1.8130642140349018, + "learning_rate": 1.0629854713856336e-05, + "loss": 0.8608, + "step": 21034 + }, + { + "epoch": 0.5, + "grad_norm": 1.7901899917466617, + "learning_rate": 1.0629093186023906e-05, + "loss": 0.9398, + "step": 21035 + }, + { + "epoch": 0.5, + "grad_norm": 1.715236544275807, + "learning_rate": 1.06283316545287e-05, + "loss": 0.8239, + "step": 21036 + }, + { + "epoch": 0.5, + "grad_norm": 1.8116464716234864, + "learning_rate": 1.0627570119375148e-05, + "loss": 0.9028, + "step": 21037 + }, + { + "epoch": 0.5, + "grad_norm": 2.092444977198058, + "learning_rate": 1.0626808580567683e-05, + "loss": 0.8932, + "step": 21038 + }, + { + "epoch": 0.5, + "grad_norm": 1.5471117144534798, + "learning_rate": 1.0626047038110741e-05, + "loss": 0.8463, + "step": 21039 + }, + { + "epoch": 0.5, + "grad_norm": 1.6113200492548143, + "learning_rate": 1.0625285492008752e-05, + "loss": 0.7963, + "step": 21040 + }, + { + "epoch": 0.5, + "grad_norm": 0.799324884264848, + "learning_rate": 1.0624523942266157e-05, + "loss": 0.7144, + "step": 21041 + }, + { + "epoch": 0.5, + "grad_norm": 1.5707309970015424, + "learning_rate": 1.0623762388887382e-05, + "loss": 0.877, + "step": 21042 + }, + { + "epoch": 0.5, + "grad_norm": 1.6300531473351216, + "learning_rate": 1.0623000831876868e-05, + "loss": 0.9575, + "step": 21043 + }, + { + "epoch": 0.5, + "grad_norm": 1.6467075964975377, + "learning_rate": 1.0622239271239048e-05, + "loss": 0.8159, + "step": 21044 + }, + { + "epoch": 0.5, + "grad_norm": 1.6586589953243345, + "learning_rate": 1.0621477706978347e-05, + "loss": 0.7844, + "step": 21045 + }, + { + "epoch": 0.5, + "grad_norm": 1.756829493792052, + "learning_rate": 1.062071613909921e-05, + "loss": 0.7875, + "step": 21046 + }, + { + "epoch": 0.5, + "grad_norm": 1.5584803891777073, + "learning_rate": 1.0619954567606066e-05, + "loss": 1.0306, + "step": 21047 + }, + { + "epoch": 0.5, + "grad_norm": 1.8092696793337715, + "learning_rate": 1.0619192992503351e-05, + "loss": 0.8271, + "step": 21048 + }, + { + "epoch": 0.5, + "grad_norm": 1.6245159044704855, + "learning_rate": 1.0618431413795498e-05, + "loss": 0.941, + "step": 21049 + }, + { + "epoch": 0.5, + "grad_norm": 1.5980315546927024, + "learning_rate": 1.0617669831486944e-05, + "loss": 0.9033, + "step": 21050 + }, + { + "epoch": 0.5, + "grad_norm": 1.9228937875983707, + "learning_rate": 1.0616908245582121e-05, + "loss": 0.9612, + "step": 21051 + }, + { + "epoch": 0.5, + "grad_norm": 1.4722773875429955, + "learning_rate": 1.0616146656085457e-05, + "loss": 0.8939, + "step": 21052 + }, + { + "epoch": 0.5, + "grad_norm": 2.0458848702571513, + "learning_rate": 1.0615385063001398e-05, + "loss": 0.9047, + "step": 21053 + }, + { + "epoch": 0.5, + "grad_norm": 0.8103962226475374, + "learning_rate": 1.0614623466334368e-05, + "loss": 0.7363, + "step": 21054 + }, + { + "epoch": 0.5, + "grad_norm": 1.6502997648816586, + "learning_rate": 1.0613861866088809e-05, + "loss": 0.9521, + "step": 21055 + }, + { + "epoch": 0.5, + "grad_norm": 2.0234237258432644, + "learning_rate": 1.0613100262269148e-05, + "loss": 0.7721, + "step": 21056 + }, + { + "epoch": 0.5, + "grad_norm": 0.746142791893492, + "learning_rate": 1.0612338654879827e-05, + "loss": 0.7123, + "step": 21057 + }, + { + "epoch": 0.5, + "grad_norm": 1.5320961914714495, + "learning_rate": 1.0611577043925276e-05, + "loss": 0.8026, + "step": 21058 + }, + { + "epoch": 0.5, + "grad_norm": 1.5297442118199776, + "learning_rate": 1.0610815429409928e-05, + "loss": 0.8466, + "step": 21059 + }, + { + "epoch": 0.5, + "grad_norm": 1.6068959598675283, + "learning_rate": 1.0610053811338222e-05, + "loss": 0.8492, + "step": 21060 + }, + { + "epoch": 0.5, + "grad_norm": 1.8606353739769048, + "learning_rate": 1.0609292189714586e-05, + "loss": 0.8316, + "step": 21061 + }, + { + "epoch": 0.5, + "grad_norm": 1.4823369638669879, + "learning_rate": 1.060853056454346e-05, + "loss": 1.0444, + "step": 21062 + }, + { + "epoch": 0.5, + "grad_norm": 1.709979853053645, + "learning_rate": 1.0607768935829277e-05, + "loss": 0.7508, + "step": 21063 + }, + { + "epoch": 0.5, + "grad_norm": 1.6962455176425981, + "learning_rate": 1.0607007303576469e-05, + "loss": 0.9223, + "step": 21064 + }, + { + "epoch": 0.5, + "grad_norm": 1.4000918886986247, + "learning_rate": 1.0606245667789473e-05, + "loss": 0.9423, + "step": 21065 + }, + { + "epoch": 0.5, + "grad_norm": 1.561095528267441, + "learning_rate": 1.0605484028472723e-05, + "loss": 0.8658, + "step": 21066 + }, + { + "epoch": 0.5, + "grad_norm": 2.051070288969408, + "learning_rate": 1.0604722385630652e-05, + "loss": 0.9931, + "step": 21067 + }, + { + "epoch": 0.5, + "grad_norm": 0.7639255412221965, + "learning_rate": 1.0603960739267698e-05, + "loss": 0.7588, + "step": 21068 + }, + { + "epoch": 0.5, + "grad_norm": 1.3453700597425233, + "learning_rate": 1.0603199089388293e-05, + "loss": 0.8675, + "step": 21069 + }, + { + "epoch": 0.5, + "grad_norm": 1.6025770016604202, + "learning_rate": 1.060243743599687e-05, + "loss": 0.8448, + "step": 21070 + }, + { + "epoch": 0.5, + "grad_norm": 0.7473197622813165, + "learning_rate": 1.0601675779097868e-05, + "loss": 0.6909, + "step": 21071 + }, + { + "epoch": 0.5, + "grad_norm": 1.5279511118892597, + "learning_rate": 1.060091411869572e-05, + "loss": 0.8425, + "step": 21072 + }, + { + "epoch": 0.5, + "grad_norm": 1.6844340431168647, + "learning_rate": 1.0600152454794853e-05, + "loss": 0.8291, + "step": 21073 + }, + { + "epoch": 0.5, + "grad_norm": 1.731259284848296, + "learning_rate": 1.0599390787399717e-05, + "loss": 0.7923, + "step": 21074 + }, + { + "epoch": 0.5, + "grad_norm": 0.7625503486033554, + "learning_rate": 1.0598629116514733e-05, + "loss": 0.676, + "step": 21075 + }, + { + "epoch": 0.5, + "grad_norm": 1.5360300338109352, + "learning_rate": 1.0597867442144343e-05, + "loss": 0.7711, + "step": 21076 + }, + { + "epoch": 0.5, + "grad_norm": 2.0253422601101927, + "learning_rate": 1.0597105764292976e-05, + "loss": 0.9562, + "step": 21077 + }, + { + "epoch": 0.5, + "grad_norm": 1.3771786457519701, + "learning_rate": 1.0596344082965076e-05, + "loss": 0.8484, + "step": 21078 + }, + { + "epoch": 0.5, + "grad_norm": 1.5720364116436008, + "learning_rate": 1.0595582398165067e-05, + "loss": 0.918, + "step": 21079 + }, + { + "epoch": 0.5, + "grad_norm": 0.769502912651028, + "learning_rate": 1.059482070989739e-05, + "loss": 0.6958, + "step": 21080 + }, + { + "epoch": 0.5, + "grad_norm": 0.7365309457834369, + "learning_rate": 1.059405901816648e-05, + "loss": 0.7152, + "step": 21081 + }, + { + "epoch": 0.5, + "grad_norm": 1.5101518098899236, + "learning_rate": 1.059329732297677e-05, + "loss": 0.7955, + "step": 21082 + }, + { + "epoch": 0.5, + "grad_norm": 1.4472214327297805, + "learning_rate": 1.0592535624332694e-05, + "loss": 0.9395, + "step": 21083 + }, + { + "epoch": 0.5, + "grad_norm": 1.6119365053334545, + "learning_rate": 1.0591773922238685e-05, + "loss": 0.9882, + "step": 21084 + }, + { + "epoch": 0.5, + "grad_norm": 1.563914308336679, + "learning_rate": 1.0591012216699189e-05, + "loss": 0.8921, + "step": 21085 + }, + { + "epoch": 0.5, + "grad_norm": 0.7673702449132351, + "learning_rate": 1.0590250507718624e-05, + "loss": 0.7316, + "step": 21086 + }, + { + "epoch": 0.5, + "grad_norm": 1.9089711936720901, + "learning_rate": 1.058948879530144e-05, + "loss": 1.015, + "step": 21087 + }, + { + "epoch": 0.5, + "grad_norm": 1.4708583215675766, + "learning_rate": 1.0588727079452063e-05, + "loss": 0.7888, + "step": 21088 + }, + { + "epoch": 0.5, + "grad_norm": 2.115104526175894, + "learning_rate": 1.058796536017493e-05, + "loss": 0.8561, + "step": 21089 + }, + { + "epoch": 0.5, + "grad_norm": 1.549677819867726, + "learning_rate": 1.058720363747448e-05, + "loss": 0.9086, + "step": 21090 + }, + { + "epoch": 0.5, + "grad_norm": 1.5888865179893283, + "learning_rate": 1.0586441911355138e-05, + "loss": 0.8707, + "step": 21091 + }, + { + "epoch": 0.5, + "grad_norm": 1.6651511538438444, + "learning_rate": 1.0585680181821351e-05, + "loss": 0.95, + "step": 21092 + }, + { + "epoch": 0.5, + "grad_norm": 1.5397291014036676, + "learning_rate": 1.0584918448877547e-05, + "loss": 0.7142, + "step": 21093 + }, + { + "epoch": 0.5, + "grad_norm": 1.5338892432427513, + "learning_rate": 1.0584156712528161e-05, + "loss": 0.8976, + "step": 21094 + }, + { + "epoch": 0.5, + "grad_norm": 1.60887388103411, + "learning_rate": 1.0583394972777632e-05, + "loss": 0.8161, + "step": 21095 + }, + { + "epoch": 0.5, + "grad_norm": 1.6712970595016907, + "learning_rate": 1.0582633229630393e-05, + "loss": 0.8704, + "step": 21096 + }, + { + "epoch": 0.5, + "grad_norm": 2.520478926701969, + "learning_rate": 1.0581871483090878e-05, + "loss": 0.9002, + "step": 21097 + }, + { + "epoch": 0.5, + "grad_norm": 2.6298247920391833, + "learning_rate": 1.0581109733163522e-05, + "loss": 0.9351, + "step": 21098 + }, + { + "epoch": 0.5, + "grad_norm": 1.6655630806934916, + "learning_rate": 1.0580347979852763e-05, + "loss": 0.9011, + "step": 21099 + }, + { + "epoch": 0.5, + "grad_norm": 1.6730022343428201, + "learning_rate": 1.0579586223163032e-05, + "loss": 0.8364, + "step": 21100 + }, + { + "epoch": 0.5, + "grad_norm": 0.8192826075988358, + "learning_rate": 1.0578824463098769e-05, + "loss": 0.6704, + "step": 21101 + }, + { + "epoch": 0.5, + "grad_norm": 1.7361594969644873, + "learning_rate": 1.0578062699664406e-05, + "loss": 0.828, + "step": 21102 + }, + { + "epoch": 0.5, + "grad_norm": 4.683865169489703, + "learning_rate": 1.0577300932864378e-05, + "loss": 0.9024, + "step": 21103 + }, + { + "epoch": 0.5, + "grad_norm": 2.2282357810961324, + "learning_rate": 1.0576539162703123e-05, + "loss": 0.7685, + "step": 21104 + }, + { + "epoch": 0.5, + "grad_norm": 1.5981158986012114, + "learning_rate": 1.0575777389185071e-05, + "loss": 0.9379, + "step": 21105 + }, + { + "epoch": 0.5, + "grad_norm": 1.6049295530999372, + "learning_rate": 1.0575015612314665e-05, + "loss": 0.8219, + "step": 21106 + }, + { + "epoch": 0.5, + "grad_norm": 1.4829807991424373, + "learning_rate": 1.0574253832096332e-05, + "loss": 0.78, + "step": 21107 + }, + { + "epoch": 0.5, + "grad_norm": 1.9582004572599105, + "learning_rate": 1.0573492048534515e-05, + "loss": 0.805, + "step": 21108 + }, + { + "epoch": 0.5, + "grad_norm": 1.4600730486352274, + "learning_rate": 1.0572730261633644e-05, + "loss": 1.0205, + "step": 21109 + }, + { + "epoch": 0.5, + "grad_norm": 1.8502116463147442, + "learning_rate": 1.0571968471398157e-05, + "loss": 0.7873, + "step": 21110 + }, + { + "epoch": 0.5, + "grad_norm": 1.632090410978752, + "learning_rate": 1.0571206677832488e-05, + "loss": 0.8938, + "step": 21111 + }, + { + "epoch": 0.5, + "grad_norm": 1.6752152373129237, + "learning_rate": 1.0570444880941074e-05, + "loss": 0.85, + "step": 21112 + }, + { + "epoch": 0.5, + "grad_norm": 1.4711523779640454, + "learning_rate": 1.0569683080728345e-05, + "loss": 0.9283, + "step": 21113 + }, + { + "epoch": 0.5, + "grad_norm": 1.623770727638417, + "learning_rate": 1.0568921277198744e-05, + "loss": 0.8492, + "step": 21114 + }, + { + "epoch": 0.5, + "grad_norm": 1.913238796602055, + "learning_rate": 1.0568159470356702e-05, + "loss": 0.6753, + "step": 21115 + }, + { + "epoch": 0.5, + "grad_norm": 1.6532341606838192, + "learning_rate": 1.0567397660206658e-05, + "loss": 0.9373, + "step": 21116 + }, + { + "epoch": 0.5, + "grad_norm": 0.7526534265167725, + "learning_rate": 1.0566635846753044e-05, + "loss": 0.7535, + "step": 21117 + }, + { + "epoch": 0.5, + "grad_norm": 0.831991905911648, + "learning_rate": 1.0565874030000296e-05, + "loss": 0.7563, + "step": 21118 + }, + { + "epoch": 0.5, + "grad_norm": 1.5333689022569357, + "learning_rate": 1.056511220995285e-05, + "loss": 0.8482, + "step": 21119 + }, + { + "epoch": 0.5, + "grad_norm": 1.8912776953699686, + "learning_rate": 1.0564350386615143e-05, + "loss": 0.9192, + "step": 21120 + }, + { + "epoch": 0.5, + "grad_norm": 1.7321121400822663, + "learning_rate": 1.0563588559991608e-05, + "loss": 0.7905, + "step": 21121 + }, + { + "epoch": 0.5, + "grad_norm": 1.66552621535034, + "learning_rate": 1.0562826730086684e-05, + "loss": 0.9657, + "step": 21122 + }, + { + "epoch": 0.5, + "grad_norm": 2.092165860599864, + "learning_rate": 1.0562064896904804e-05, + "loss": 0.8619, + "step": 21123 + }, + { + "epoch": 0.5, + "grad_norm": 1.558024417288204, + "learning_rate": 1.0561303060450404e-05, + "loss": 0.8974, + "step": 21124 + }, + { + "epoch": 0.5, + "grad_norm": 1.7851908779085555, + "learning_rate": 1.056054122072792e-05, + "loss": 0.7782, + "step": 21125 + }, + { + "epoch": 0.5, + "grad_norm": 1.475623059504033, + "learning_rate": 1.0559779377741786e-05, + "loss": 0.8941, + "step": 21126 + }, + { + "epoch": 0.5, + "grad_norm": 1.7413694708657095, + "learning_rate": 1.055901753149644e-05, + "loss": 0.8884, + "step": 21127 + }, + { + "epoch": 0.5, + "grad_norm": 1.604667453021967, + "learning_rate": 1.0558255681996316e-05, + "loss": 0.8893, + "step": 21128 + }, + { + "epoch": 0.5, + "grad_norm": 1.5069411189529995, + "learning_rate": 1.0557493829245854e-05, + "loss": 0.8676, + "step": 21129 + }, + { + "epoch": 0.5, + "grad_norm": 1.5542539120246457, + "learning_rate": 1.0556731973249486e-05, + "loss": 0.8917, + "step": 21130 + }, + { + "epoch": 0.5, + "grad_norm": 1.909985980265421, + "learning_rate": 1.0555970114011644e-05, + "loss": 0.8959, + "step": 21131 + }, + { + "epoch": 0.5, + "grad_norm": 1.603875843180325, + "learning_rate": 1.055520825153677e-05, + "loss": 0.9105, + "step": 21132 + }, + { + "epoch": 0.5, + "grad_norm": 1.5158587077315226, + "learning_rate": 1.0554446385829297e-05, + "loss": 1.1377, + "step": 21133 + }, + { + "epoch": 0.5, + "grad_norm": 1.580798169588363, + "learning_rate": 1.0553684516893665e-05, + "loss": 0.9016, + "step": 21134 + }, + { + "epoch": 0.5, + "grad_norm": 0.7365315773670482, + "learning_rate": 1.0552922644734302e-05, + "loss": 0.7124, + "step": 21135 + }, + { + "epoch": 0.5, + "grad_norm": 1.8559448257906543, + "learning_rate": 1.0552160769355653e-05, + "loss": 0.7907, + "step": 21136 + }, + { + "epoch": 0.5, + "grad_norm": 0.7827026867621459, + "learning_rate": 1.0551398890762148e-05, + "loss": 0.7419, + "step": 21137 + }, + { + "epoch": 0.5, + "grad_norm": 1.6536746226697925, + "learning_rate": 1.0550637008958222e-05, + "loss": 1.0129, + "step": 21138 + }, + { + "epoch": 0.5, + "grad_norm": 2.8487393569465995, + "learning_rate": 1.0549875123948314e-05, + "loss": 0.8742, + "step": 21139 + }, + { + "epoch": 0.5, + "grad_norm": 1.515925873527868, + "learning_rate": 1.0549113235736858e-05, + "loss": 0.9224, + "step": 21140 + }, + { + "epoch": 0.5, + "grad_norm": 1.4678555809309004, + "learning_rate": 1.0548351344328293e-05, + "loss": 0.8535, + "step": 21141 + }, + { + "epoch": 0.5, + "grad_norm": 1.4822704292169344, + "learning_rate": 1.0547589449727051e-05, + "loss": 0.8313, + "step": 21142 + }, + { + "epoch": 0.5, + "grad_norm": 1.6505612529210654, + "learning_rate": 1.054682755193757e-05, + "loss": 0.8443, + "step": 21143 + }, + { + "epoch": 0.5, + "grad_norm": 1.8589888551647629, + "learning_rate": 1.0546065650964288e-05, + "loss": 0.9481, + "step": 21144 + }, + { + "epoch": 0.5, + "grad_norm": 1.7243290307598838, + "learning_rate": 1.0545303746811637e-05, + "loss": 0.9186, + "step": 21145 + }, + { + "epoch": 0.5, + "grad_norm": 1.4347770981431494, + "learning_rate": 1.0544541839484055e-05, + "loss": 0.7908, + "step": 21146 + }, + { + "epoch": 0.5, + "grad_norm": 0.7635214898312355, + "learning_rate": 1.0543779928985978e-05, + "loss": 0.6924, + "step": 21147 + }, + { + "epoch": 0.5, + "grad_norm": 1.904279898359969, + "learning_rate": 1.0543018015321842e-05, + "loss": 0.8918, + "step": 21148 + }, + { + "epoch": 0.5, + "grad_norm": 2.018496683864238, + "learning_rate": 1.0542256098496085e-05, + "loss": 0.9004, + "step": 21149 + }, + { + "epoch": 0.5, + "grad_norm": 1.5307634944160178, + "learning_rate": 1.0541494178513138e-05, + "loss": 0.9825, + "step": 21150 + }, + { + "epoch": 0.5, + "grad_norm": 1.6148569490868159, + "learning_rate": 1.0540732255377442e-05, + "loss": 0.8209, + "step": 21151 + }, + { + "epoch": 0.5, + "grad_norm": 1.761484683927302, + "learning_rate": 1.0539970329093432e-05, + "loss": 0.756, + "step": 21152 + }, + { + "epoch": 0.5, + "grad_norm": 1.7405682653312613, + "learning_rate": 1.0539208399665546e-05, + "loss": 0.7806, + "step": 21153 + }, + { + "epoch": 0.5, + "grad_norm": 1.4790689789027398, + "learning_rate": 1.0538446467098214e-05, + "loss": 0.9456, + "step": 21154 + }, + { + "epoch": 0.5, + "grad_norm": 1.8024869056022739, + "learning_rate": 1.053768453139588e-05, + "loss": 0.88, + "step": 21155 + }, + { + "epoch": 0.5, + "grad_norm": 1.7705455189731925, + "learning_rate": 1.0536922592562973e-05, + "loss": 0.9047, + "step": 21156 + }, + { + "epoch": 0.5, + "grad_norm": 0.7329901357599751, + "learning_rate": 1.0536160650603935e-05, + "loss": 0.6955, + "step": 21157 + }, + { + "epoch": 0.5, + "grad_norm": 1.6123353736719517, + "learning_rate": 1.0535398705523197e-05, + "loss": 0.8555, + "step": 21158 + }, + { + "epoch": 0.5, + "grad_norm": 1.6258370693687272, + "learning_rate": 1.0534636757325203e-05, + "loss": 0.8079, + "step": 21159 + }, + { + "epoch": 0.5, + "grad_norm": 1.503476489789765, + "learning_rate": 1.0533874806014382e-05, + "loss": 0.8621, + "step": 21160 + }, + { + "epoch": 0.5, + "grad_norm": 1.684127450154533, + "learning_rate": 1.053311285159517e-05, + "loss": 1.0349, + "step": 21161 + }, + { + "epoch": 0.5, + "grad_norm": 1.5454818535696044, + "learning_rate": 1.053235089407201e-05, + "loss": 0.9109, + "step": 21162 + }, + { + "epoch": 0.5, + "grad_norm": 1.7432219433090637, + "learning_rate": 1.0531588933449332e-05, + "loss": 0.9631, + "step": 21163 + }, + { + "epoch": 0.5, + "grad_norm": 1.7133993597785653, + "learning_rate": 1.0530826969731577e-05, + "loss": 0.8306, + "step": 21164 + }, + { + "epoch": 0.5, + "grad_norm": 0.751663574678955, + "learning_rate": 1.053006500292318e-05, + "loss": 0.7339, + "step": 21165 + }, + { + "epoch": 0.5, + "grad_norm": 1.558351336573403, + "learning_rate": 1.0529303033028575e-05, + "loss": 0.9581, + "step": 21166 + }, + { + "epoch": 0.5, + "grad_norm": 1.5410541643412519, + "learning_rate": 1.05285410600522e-05, + "loss": 0.8459, + "step": 21167 + }, + { + "epoch": 0.5, + "grad_norm": 2.2653788364005467, + "learning_rate": 1.0527779083998492e-05, + "loss": 0.9146, + "step": 21168 + }, + { + "epoch": 0.5, + "grad_norm": 2.360235001456729, + "learning_rate": 1.0527017104871885e-05, + "loss": 0.7812, + "step": 21169 + }, + { + "epoch": 0.5, + "grad_norm": 2.886981039857169, + "learning_rate": 1.0526255122676823e-05, + "loss": 0.8454, + "step": 21170 + }, + { + "epoch": 0.5, + "grad_norm": 1.7795677530423442, + "learning_rate": 1.0525493137417733e-05, + "loss": 0.8564, + "step": 21171 + }, + { + "epoch": 0.5, + "grad_norm": 1.654894436975137, + "learning_rate": 1.0524731149099057e-05, + "loss": 0.8453, + "step": 21172 + }, + { + "epoch": 0.5, + "grad_norm": 1.477700856654528, + "learning_rate": 1.0523969157725229e-05, + "loss": 0.9429, + "step": 21173 + }, + { + "epoch": 0.5, + "grad_norm": 1.5862429984613935, + "learning_rate": 1.0523207163300688e-05, + "loss": 0.8155, + "step": 21174 + }, + { + "epoch": 0.5, + "grad_norm": 1.715993450627016, + "learning_rate": 1.0522445165829867e-05, + "loss": 0.9016, + "step": 21175 + }, + { + "epoch": 0.5, + "grad_norm": 1.5340665792297679, + "learning_rate": 1.0521683165317209e-05, + "loss": 0.8256, + "step": 21176 + }, + { + "epoch": 0.5, + "grad_norm": 1.6009285486418314, + "learning_rate": 1.0520921161767142e-05, + "loss": 0.9251, + "step": 21177 + }, + { + "epoch": 0.5, + "grad_norm": 1.7483354107915028, + "learning_rate": 1.0520159155184111e-05, + "loss": 0.8845, + "step": 21178 + }, + { + "epoch": 0.5, + "grad_norm": 1.5598916230447735, + "learning_rate": 1.0519397145572542e-05, + "loss": 0.8574, + "step": 21179 + }, + { + "epoch": 0.5, + "grad_norm": 1.7469962680687985, + "learning_rate": 1.0518635132936888e-05, + "loss": 0.8655, + "step": 21180 + }, + { + "epoch": 0.5, + "grad_norm": 1.6746055462216785, + "learning_rate": 1.051787311728157e-05, + "loss": 1.0269, + "step": 21181 + }, + { + "epoch": 0.5, + "grad_norm": 2.301179158223289, + "learning_rate": 1.0517111098611028e-05, + "loss": 0.8041, + "step": 21182 + }, + { + "epoch": 0.5, + "grad_norm": 1.661940775604163, + "learning_rate": 1.0516349076929708e-05, + "loss": 0.8135, + "step": 21183 + }, + { + "epoch": 0.5, + "grad_norm": 1.7116471037114331, + "learning_rate": 1.0515587052242035e-05, + "loss": 0.9062, + "step": 21184 + }, + { + "epoch": 0.5, + "grad_norm": 1.7673476915457667, + "learning_rate": 1.0514825024552456e-05, + "loss": 0.8921, + "step": 21185 + }, + { + "epoch": 0.5, + "grad_norm": 1.6678103152489476, + "learning_rate": 1.0514062993865396e-05, + "loss": 0.8637, + "step": 21186 + }, + { + "epoch": 0.5, + "grad_norm": 0.7788440049052353, + "learning_rate": 1.0513300960185307e-05, + "loss": 0.7234, + "step": 21187 + }, + { + "epoch": 0.5, + "grad_norm": 1.6554968211453955, + "learning_rate": 1.0512538923516613e-05, + "loss": 0.8619, + "step": 21188 + }, + { + "epoch": 0.5, + "grad_norm": 1.628315693243579, + "learning_rate": 1.0511776883863753e-05, + "loss": 0.8739, + "step": 21189 + }, + { + "epoch": 0.5, + "grad_norm": 1.6358791767590366, + "learning_rate": 1.0511014841231168e-05, + "loss": 0.8543, + "step": 21190 + }, + { + "epoch": 0.5, + "grad_norm": 1.4184129612711311, + "learning_rate": 1.0510252795623294e-05, + "loss": 0.7508, + "step": 21191 + }, + { + "epoch": 0.5, + "grad_norm": 1.6071167514823184, + "learning_rate": 1.0509490747044566e-05, + "loss": 0.9219, + "step": 21192 + }, + { + "epoch": 0.5, + "grad_norm": 1.802209272786225, + "learning_rate": 1.050872869549942e-05, + "loss": 0.9049, + "step": 21193 + }, + { + "epoch": 0.5, + "grad_norm": 1.800356874383796, + "learning_rate": 1.0507966640992295e-05, + "loss": 0.8305, + "step": 21194 + }, + { + "epoch": 0.5, + "grad_norm": 1.9451820469859071, + "learning_rate": 1.0507204583527629e-05, + "loss": 0.8066, + "step": 21195 + }, + { + "epoch": 0.5, + "grad_norm": 1.542862470107483, + "learning_rate": 1.0506442523109857e-05, + "loss": 0.9099, + "step": 21196 + }, + { + "epoch": 0.5, + "grad_norm": 1.7623375736506433, + "learning_rate": 1.0505680459743414e-05, + "loss": 0.9066, + "step": 21197 + }, + { + "epoch": 0.5, + "grad_norm": 1.699549158148408, + "learning_rate": 1.050491839343274e-05, + "loss": 0.8281, + "step": 21198 + }, + { + "epoch": 0.5, + "grad_norm": 1.546730884288475, + "learning_rate": 1.0504156324182274e-05, + "loss": 0.9049, + "step": 21199 + }, + { + "epoch": 0.5, + "grad_norm": 1.5922153190031412, + "learning_rate": 1.0503394251996446e-05, + "loss": 0.9523, + "step": 21200 + }, + { + "epoch": 0.5, + "grad_norm": 2.4116132977298435, + "learning_rate": 1.0502632176879701e-05, + "loss": 0.8744, + "step": 21201 + }, + { + "epoch": 0.5, + "grad_norm": 1.713903188531107, + "learning_rate": 1.0501870098836473e-05, + "loss": 0.8933, + "step": 21202 + }, + { + "epoch": 0.5, + "grad_norm": 1.5941210708972027, + "learning_rate": 1.0501108017871193e-05, + "loss": 0.8956, + "step": 21203 + }, + { + "epoch": 0.5, + "grad_norm": 1.6843716706418754, + "learning_rate": 1.050034593398831e-05, + "loss": 0.9521, + "step": 21204 + }, + { + "epoch": 0.5, + "grad_norm": 1.7716086436805867, + "learning_rate": 1.0499583847192249e-05, + "loss": 0.8193, + "step": 21205 + }, + { + "epoch": 0.5, + "grad_norm": 0.8282985892257613, + "learning_rate": 1.0498821757487456e-05, + "loss": 0.7806, + "step": 21206 + }, + { + "epoch": 0.5, + "grad_norm": 1.6240082389792176, + "learning_rate": 1.0498059664878361e-05, + "loss": 0.8224, + "step": 21207 + }, + { + "epoch": 0.5, + "grad_norm": 2.637244307760087, + "learning_rate": 1.0497297569369412e-05, + "loss": 0.8388, + "step": 21208 + }, + { + "epoch": 0.5, + "grad_norm": 1.5158773312736749, + "learning_rate": 1.0496535470965033e-05, + "loss": 1.0889, + "step": 21209 + }, + { + "epoch": 0.5, + "grad_norm": 1.6539779808072104, + "learning_rate": 1.049577336966967e-05, + "loss": 0.8337, + "step": 21210 + }, + { + "epoch": 0.5, + "grad_norm": 1.4922083401036086, + "learning_rate": 1.0495011265487758e-05, + "loss": 0.7076, + "step": 21211 + }, + { + "epoch": 0.5, + "grad_norm": 1.7536982909711625, + "learning_rate": 1.0494249158423733e-05, + "loss": 0.9465, + "step": 21212 + }, + { + "epoch": 0.5, + "grad_norm": 1.7121362089972987, + "learning_rate": 1.0493487048482031e-05, + "loss": 0.9672, + "step": 21213 + }, + { + "epoch": 0.5, + "grad_norm": 0.7562019880952615, + "learning_rate": 1.049272493566709e-05, + "loss": 0.6881, + "step": 21214 + }, + { + "epoch": 0.5, + "grad_norm": 2.295969266019012, + "learning_rate": 1.0491962819983351e-05, + "loss": 0.7679, + "step": 21215 + }, + { + "epoch": 0.5, + "grad_norm": 2.501025461116298, + "learning_rate": 1.0491200701435252e-05, + "loss": 0.8205, + "step": 21216 + }, + { + "epoch": 0.5, + "grad_norm": 1.6118253302377674, + "learning_rate": 1.0490438580027223e-05, + "loss": 0.9161, + "step": 21217 + }, + { + "epoch": 0.5, + "grad_norm": 1.6349042148434803, + "learning_rate": 1.0489676455763704e-05, + "loss": 0.8639, + "step": 21218 + }, + { + "epoch": 0.5, + "grad_norm": 1.513843351887841, + "learning_rate": 1.0488914328649136e-05, + "loss": 0.9639, + "step": 21219 + }, + { + "epoch": 0.5, + "grad_norm": 1.4734973866177656, + "learning_rate": 1.0488152198687955e-05, + "loss": 0.8631, + "step": 21220 + }, + { + "epoch": 0.5, + "grad_norm": 1.682314736623875, + "learning_rate": 1.0487390065884596e-05, + "loss": 0.8028, + "step": 21221 + }, + { + "epoch": 0.5, + "grad_norm": 1.4460797701766055, + "learning_rate": 1.0486627930243497e-05, + "loss": 0.8582, + "step": 21222 + }, + { + "epoch": 0.5, + "grad_norm": 1.6768446738659477, + "learning_rate": 1.0485865791769096e-05, + "loss": 0.9485, + "step": 21223 + }, + { + "epoch": 0.5, + "grad_norm": 1.4466216569325772, + "learning_rate": 1.0485103650465832e-05, + "loss": 0.8134, + "step": 21224 + }, + { + "epoch": 0.5, + "grad_norm": 2.482778445246265, + "learning_rate": 1.0484341506338143e-05, + "loss": 0.874, + "step": 21225 + }, + { + "epoch": 0.5, + "grad_norm": 1.6735658064682086, + "learning_rate": 1.0483579359390459e-05, + "loss": 0.8698, + "step": 21226 + }, + { + "epoch": 0.5, + "grad_norm": 1.7182424006388357, + "learning_rate": 1.0482817209627228e-05, + "loss": 0.782, + "step": 21227 + }, + { + "epoch": 0.5, + "grad_norm": 1.7631492392524226, + "learning_rate": 1.0482055057052878e-05, + "loss": 0.866, + "step": 21228 + }, + { + "epoch": 0.5, + "grad_norm": 1.6399260144192025, + "learning_rate": 1.0481292901671853e-05, + "loss": 0.8314, + "step": 21229 + }, + { + "epoch": 0.5, + "grad_norm": 3.004738901426218, + "learning_rate": 1.0480530743488586e-05, + "loss": 0.8926, + "step": 21230 + }, + { + "epoch": 0.5, + "grad_norm": 1.5700019039892004, + "learning_rate": 1.0479768582507519e-05, + "loss": 0.7607, + "step": 21231 + }, + { + "epoch": 0.5, + "grad_norm": 1.7647205318528838, + "learning_rate": 1.0479006418733091e-05, + "loss": 0.8498, + "step": 21232 + }, + { + "epoch": 0.5, + "grad_norm": 2.4171233947860173, + "learning_rate": 1.047824425216973e-05, + "loss": 0.9456, + "step": 21233 + }, + { + "epoch": 0.5, + "grad_norm": 1.8926517384110009, + "learning_rate": 1.0477482082821884e-05, + "loss": 0.8321, + "step": 21234 + }, + { + "epoch": 0.5, + "grad_norm": 1.416420296402692, + "learning_rate": 1.0476719910693981e-05, + "loss": 0.9506, + "step": 21235 + }, + { + "epoch": 0.5, + "grad_norm": 1.4813520557601785, + "learning_rate": 1.0475957735790469e-05, + "loss": 0.738, + "step": 21236 + }, + { + "epoch": 0.5, + "grad_norm": 3.2351383371285163, + "learning_rate": 1.0475195558115776e-05, + "loss": 0.8769, + "step": 21237 + }, + { + "epoch": 0.5, + "grad_norm": 1.5528169796109348, + "learning_rate": 1.0474433377674349e-05, + "loss": 0.9219, + "step": 21238 + }, + { + "epoch": 0.5, + "grad_norm": 1.6646605822178226, + "learning_rate": 1.0473671194470618e-05, + "loss": 0.9996, + "step": 21239 + }, + { + "epoch": 0.5, + "grad_norm": 1.6520696326790723, + "learning_rate": 1.0472909008509023e-05, + "loss": 0.7941, + "step": 21240 + }, + { + "epoch": 0.5, + "grad_norm": 1.5507080069799475, + "learning_rate": 1.0472146819794003e-05, + "loss": 0.8259, + "step": 21241 + }, + { + "epoch": 0.5, + "grad_norm": 1.529565646311186, + "learning_rate": 1.0471384628329993e-05, + "loss": 0.8468, + "step": 21242 + }, + { + "epoch": 0.5, + "grad_norm": 2.0475873780432186, + "learning_rate": 1.0470622434121434e-05, + "loss": 0.861, + "step": 21243 + }, + { + "epoch": 0.5, + "grad_norm": 1.808347349032198, + "learning_rate": 1.0469860237172759e-05, + "loss": 0.9071, + "step": 21244 + }, + { + "epoch": 0.5, + "grad_norm": 1.773493246452049, + "learning_rate": 1.0469098037488415e-05, + "loss": 0.8453, + "step": 21245 + }, + { + "epoch": 0.5, + "grad_norm": 1.5659006319359066, + "learning_rate": 1.0468335835072829e-05, + "loss": 0.932, + "step": 21246 + }, + { + "epoch": 0.5, + "grad_norm": 1.4402946811180455, + "learning_rate": 1.0467573629930445e-05, + "loss": 0.8241, + "step": 21247 + }, + { + "epoch": 0.5, + "grad_norm": 1.7315873717040748, + "learning_rate": 1.0466811422065699e-05, + "loss": 0.8261, + "step": 21248 + }, + { + "epoch": 0.5, + "grad_norm": 1.884227410490399, + "learning_rate": 1.046604921148303e-05, + "loss": 0.744, + "step": 21249 + }, + { + "epoch": 0.5, + "grad_norm": 1.6038214815493055, + "learning_rate": 1.0465286998186872e-05, + "loss": 0.8029, + "step": 21250 + }, + { + "epoch": 0.5, + "grad_norm": 1.5036038470721744, + "learning_rate": 1.0464524782181669e-05, + "loss": 0.9246, + "step": 21251 + }, + { + "epoch": 0.5, + "grad_norm": 1.6650777991954369, + "learning_rate": 1.0463762563471854e-05, + "loss": 0.956, + "step": 21252 + }, + { + "epoch": 0.5, + "grad_norm": 1.6439735136211264, + "learning_rate": 1.0463000342061868e-05, + "loss": 0.8678, + "step": 21253 + }, + { + "epoch": 0.5, + "grad_norm": 1.5765497578636698, + "learning_rate": 1.0462238117956145e-05, + "loss": 0.8643, + "step": 21254 + }, + { + "epoch": 0.5, + "grad_norm": 1.5377826445761613, + "learning_rate": 1.046147589115913e-05, + "loss": 0.9086, + "step": 21255 + }, + { + "epoch": 0.5, + "grad_norm": 2.7778008207038654, + "learning_rate": 1.046071366167525e-05, + "loss": 0.9656, + "step": 21256 + }, + { + "epoch": 0.5, + "grad_norm": 0.7820275945081112, + "learning_rate": 1.0459951429508955e-05, + "loss": 0.6927, + "step": 21257 + }, + { + "epoch": 0.5, + "grad_norm": 1.821884172845473, + "learning_rate": 1.0459189194664671e-05, + "loss": 0.7515, + "step": 21258 + }, + { + "epoch": 0.5, + "grad_norm": 1.5469768333473484, + "learning_rate": 1.045842695714685e-05, + "loss": 0.8825, + "step": 21259 + }, + { + "epoch": 0.5, + "grad_norm": 1.497892870052387, + "learning_rate": 1.0457664716959916e-05, + "loss": 0.8879, + "step": 21260 + }, + { + "epoch": 0.5, + "grad_norm": 1.35430519989343, + "learning_rate": 1.0456902474108315e-05, + "loss": 0.7513, + "step": 21261 + }, + { + "epoch": 0.5, + "grad_norm": 1.729812058303291, + "learning_rate": 1.0456140228596484e-05, + "loss": 0.8337, + "step": 21262 + }, + { + "epoch": 0.5, + "grad_norm": 1.798454909190282, + "learning_rate": 1.0455377980428858e-05, + "loss": 0.8622, + "step": 21263 + }, + { + "epoch": 0.5, + "grad_norm": 2.0454342621386563, + "learning_rate": 1.045461572960988e-05, + "loss": 0.8385, + "step": 21264 + }, + { + "epoch": 0.5, + "grad_norm": 1.6884775164153614, + "learning_rate": 1.0453853476143982e-05, + "loss": 0.9265, + "step": 21265 + }, + { + "epoch": 0.5, + "grad_norm": 1.752834971251204, + "learning_rate": 1.0453091220035607e-05, + "loss": 0.8328, + "step": 21266 + }, + { + "epoch": 0.5, + "grad_norm": 1.4457956186049075, + "learning_rate": 1.0452328961289192e-05, + "loss": 0.7388, + "step": 21267 + }, + { + "epoch": 0.5, + "grad_norm": 1.5721521306057615, + "learning_rate": 1.0451566699909174e-05, + "loss": 0.7969, + "step": 21268 + }, + { + "epoch": 0.5, + "grad_norm": 1.6060074979218144, + "learning_rate": 1.0450804435899993e-05, + "loss": 0.8584, + "step": 21269 + }, + { + "epoch": 0.5, + "grad_norm": 1.5023065534740487, + "learning_rate": 1.0450042169266083e-05, + "loss": 0.8835, + "step": 21270 + }, + { + "epoch": 0.5, + "grad_norm": 1.8761605237593204, + "learning_rate": 1.0449279900011888e-05, + "loss": 0.9849, + "step": 21271 + }, + { + "epoch": 0.5, + "grad_norm": 1.6494294343215696, + "learning_rate": 1.044851762814184e-05, + "loss": 0.8783, + "step": 21272 + }, + { + "epoch": 0.5, + "grad_norm": 1.8959936963615616, + "learning_rate": 1.0447755353660384e-05, + "loss": 0.8898, + "step": 21273 + }, + { + "epoch": 0.5, + "grad_norm": 1.5030871763698017, + "learning_rate": 1.0446993076571952e-05, + "loss": 0.9332, + "step": 21274 + }, + { + "epoch": 0.5, + "grad_norm": 1.4275043930328868, + "learning_rate": 1.0446230796880987e-05, + "loss": 0.9482, + "step": 21275 + }, + { + "epoch": 0.5, + "grad_norm": 1.8898669794006215, + "learning_rate": 1.0445468514591925e-05, + "loss": 0.8692, + "step": 21276 + }, + { + "epoch": 0.5, + "grad_norm": 1.5585718312461097, + "learning_rate": 1.0444706229709201e-05, + "loss": 0.9229, + "step": 21277 + }, + { + "epoch": 0.5, + "grad_norm": 1.5202467674749343, + "learning_rate": 1.044394394223726e-05, + "loss": 0.9584, + "step": 21278 + }, + { + "epoch": 0.5, + "grad_norm": 1.6321090631471906, + "learning_rate": 1.0443181652180534e-05, + "loss": 0.8094, + "step": 21279 + }, + { + "epoch": 0.5, + "grad_norm": 0.8004767724585679, + "learning_rate": 1.0442419359543465e-05, + "loss": 0.7249, + "step": 21280 + }, + { + "epoch": 0.5, + "grad_norm": 1.5874730440648037, + "learning_rate": 1.044165706433049e-05, + "loss": 0.8792, + "step": 21281 + }, + { + "epoch": 0.5, + "grad_norm": 1.5544653110106, + "learning_rate": 1.0440894766546051e-05, + "loss": 0.942, + "step": 21282 + }, + { + "epoch": 0.5, + "grad_norm": 1.4954032985869685, + "learning_rate": 1.0440132466194582e-05, + "loss": 0.837, + "step": 21283 + }, + { + "epoch": 0.5, + "grad_norm": 1.581838386146551, + "learning_rate": 1.0439370163280518e-05, + "loss": 0.8456, + "step": 21284 + }, + { + "epoch": 0.5, + "grad_norm": 2.0617616601269555, + "learning_rate": 1.0438607857808307e-05, + "loss": 0.7748, + "step": 21285 + }, + { + "epoch": 0.5, + "grad_norm": 1.5929641952010754, + "learning_rate": 1.0437845549782377e-05, + "loss": 0.8873, + "step": 21286 + }, + { + "epoch": 0.5, + "grad_norm": 1.7526988197554192, + "learning_rate": 1.0437083239207177e-05, + "loss": 0.8773, + "step": 21287 + }, + { + "epoch": 0.5, + "grad_norm": 1.6020070970624425, + "learning_rate": 1.0436320926087135e-05, + "loss": 0.7723, + "step": 21288 + }, + { + "epoch": 0.5, + "grad_norm": 1.5116516605187724, + "learning_rate": 1.0435558610426701e-05, + "loss": 0.8206, + "step": 21289 + }, + { + "epoch": 0.5, + "grad_norm": 1.5881955648090529, + "learning_rate": 1.0434796292230303e-05, + "loss": 0.996, + "step": 21290 + }, + { + "epoch": 0.5, + "grad_norm": 1.5559874407547833, + "learning_rate": 1.0434033971502381e-05, + "loss": 0.7962, + "step": 21291 + }, + { + "epoch": 0.5, + "grad_norm": 0.7875360028090714, + "learning_rate": 1.043327164824738e-05, + "loss": 0.7575, + "step": 21292 + }, + { + "epoch": 0.5, + "grad_norm": 1.7003316900408738, + "learning_rate": 1.0432509322469732e-05, + "loss": 0.8541, + "step": 21293 + }, + { + "epoch": 0.5, + "grad_norm": 0.7886172709139251, + "learning_rate": 1.043174699417388e-05, + "loss": 0.7889, + "step": 21294 + }, + { + "epoch": 0.5, + "grad_norm": 0.7580357268615151, + "learning_rate": 1.0430984663364256e-05, + "loss": 0.7608, + "step": 21295 + }, + { + "epoch": 0.5, + "grad_norm": 1.7401162460072443, + "learning_rate": 1.0430222330045306e-05, + "loss": 0.9361, + "step": 21296 + }, + { + "epoch": 0.5, + "grad_norm": 1.4969950341790443, + "learning_rate": 1.0429459994221465e-05, + "loss": 0.8244, + "step": 21297 + }, + { + "epoch": 0.5, + "grad_norm": 2.674911336384759, + "learning_rate": 1.0428697655897172e-05, + "loss": 0.8788, + "step": 21298 + }, + { + "epoch": 0.5, + "grad_norm": 1.638523863428847, + "learning_rate": 1.0427935315076864e-05, + "loss": 0.9379, + "step": 21299 + }, + { + "epoch": 0.5, + "grad_norm": 1.6873708127839038, + "learning_rate": 1.0427172971764984e-05, + "loss": 0.8527, + "step": 21300 + }, + { + "epoch": 0.5, + "grad_norm": 1.809186634136146, + "learning_rate": 1.0426410625965965e-05, + "loss": 0.7991, + "step": 21301 + }, + { + "epoch": 0.5, + "grad_norm": 1.520822783400068, + "learning_rate": 1.0425648277684251e-05, + "loss": 0.898, + "step": 21302 + }, + { + "epoch": 0.5, + "grad_norm": 1.5603035412711546, + "learning_rate": 1.0424885926924275e-05, + "loss": 0.8297, + "step": 21303 + }, + { + "epoch": 0.5, + "grad_norm": 1.755805075588733, + "learning_rate": 1.042412357369048e-05, + "loss": 0.8469, + "step": 21304 + }, + { + "epoch": 0.5, + "grad_norm": 1.7871437097303708, + "learning_rate": 1.0423361217987303e-05, + "loss": 0.9219, + "step": 21305 + }, + { + "epoch": 0.5, + "grad_norm": 1.5900007932700886, + "learning_rate": 1.0422598859819186e-05, + "loss": 0.9032, + "step": 21306 + }, + { + "epoch": 0.5, + "grad_norm": 2.228642114716493, + "learning_rate": 1.0421836499190559e-05, + "loss": 0.9096, + "step": 21307 + }, + { + "epoch": 0.5, + "grad_norm": 1.472739904837777, + "learning_rate": 1.0421074136105872e-05, + "loss": 0.7753, + "step": 21308 + }, + { + "epoch": 0.5, + "grad_norm": 2.163094112618134, + "learning_rate": 1.0420311770569553e-05, + "loss": 0.8848, + "step": 21309 + }, + { + "epoch": 0.5, + "grad_norm": 0.7253478387867011, + "learning_rate": 1.0419549402586049e-05, + "loss": 0.6959, + "step": 21310 + }, + { + "epoch": 0.5, + "grad_norm": 1.5149912102748666, + "learning_rate": 1.0418787032159797e-05, + "loss": 0.8031, + "step": 21311 + }, + { + "epoch": 0.5, + "grad_norm": 1.8559431088794, + "learning_rate": 1.041802465929523e-05, + "loss": 0.7787, + "step": 21312 + }, + { + "epoch": 0.5, + "grad_norm": 1.783060753296023, + "learning_rate": 1.0417262283996793e-05, + "loss": 0.801, + "step": 21313 + }, + { + "epoch": 0.5, + "grad_norm": 1.4186701252390408, + "learning_rate": 1.0416499906268922e-05, + "loss": 0.7163, + "step": 21314 + }, + { + "epoch": 0.5, + "grad_norm": 1.665498513811963, + "learning_rate": 1.0415737526116059e-05, + "loss": 0.7983, + "step": 21315 + }, + { + "epoch": 0.5, + "grad_norm": 1.435385646735263, + "learning_rate": 1.0414975143542636e-05, + "loss": 0.8532, + "step": 21316 + }, + { + "epoch": 0.5, + "grad_norm": 2.787349361892877, + "learning_rate": 1.0414212758553102e-05, + "loss": 0.7926, + "step": 21317 + }, + { + "epoch": 0.5, + "grad_norm": 1.8564320926537954, + "learning_rate": 1.0413450371151888e-05, + "loss": 0.9151, + "step": 21318 + }, + { + "epoch": 0.5, + "grad_norm": 0.804072629728545, + "learning_rate": 1.0412687981343435e-05, + "loss": 0.6908, + "step": 21319 + }, + { + "epoch": 0.5, + "grad_norm": 1.5699225031392485, + "learning_rate": 1.0411925589132182e-05, + "loss": 0.7656, + "step": 21320 + }, + { + "epoch": 0.5, + "grad_norm": 1.5898390636694282, + "learning_rate": 1.0411163194522566e-05, + "loss": 0.902, + "step": 21321 + }, + { + "epoch": 0.5, + "grad_norm": 0.7505634631011591, + "learning_rate": 1.041040079751903e-05, + "loss": 0.7373, + "step": 21322 + }, + { + "epoch": 0.5, + "grad_norm": 1.5301314415982883, + "learning_rate": 1.0409638398126009e-05, + "loss": 0.7938, + "step": 21323 + }, + { + "epoch": 0.5, + "grad_norm": 1.5299269641188038, + "learning_rate": 1.0408875996347945e-05, + "loss": 0.8292, + "step": 21324 + }, + { + "epoch": 0.5, + "grad_norm": 1.7393654203874491, + "learning_rate": 1.0408113592189275e-05, + "loss": 0.8937, + "step": 21325 + }, + { + "epoch": 0.5, + "grad_norm": 1.707525330224961, + "learning_rate": 1.0407351185654437e-05, + "loss": 0.9202, + "step": 21326 + }, + { + "epoch": 0.5, + "grad_norm": 0.8085877912772308, + "learning_rate": 1.0406588776747875e-05, + "loss": 0.7267, + "step": 21327 + }, + { + "epoch": 0.5, + "grad_norm": 2.2220552080721476, + "learning_rate": 1.040582636547402e-05, + "loss": 0.8347, + "step": 21328 + }, + { + "epoch": 0.5, + "grad_norm": 1.5265066620217016, + "learning_rate": 1.0405063951837318e-05, + "loss": 0.8882, + "step": 21329 + }, + { + "epoch": 0.5, + "grad_norm": 1.6560525069316316, + "learning_rate": 1.0404301535842205e-05, + "loss": 0.9231, + "step": 21330 + }, + { + "epoch": 0.5, + "grad_norm": 1.7250181122454222, + "learning_rate": 1.040353911749312e-05, + "loss": 0.8216, + "step": 21331 + }, + { + "epoch": 0.5, + "grad_norm": 1.6707614070383938, + "learning_rate": 1.0402776696794506e-05, + "loss": 0.8645, + "step": 21332 + }, + { + "epoch": 0.5, + "grad_norm": 1.71758905906992, + "learning_rate": 1.040201427375079e-05, + "loss": 0.9032, + "step": 21333 + }, + { + "epoch": 0.5, + "grad_norm": 1.491785224212202, + "learning_rate": 1.0401251848366429e-05, + "loss": 0.8754, + "step": 21334 + }, + { + "epoch": 0.5, + "grad_norm": 1.5454037159594207, + "learning_rate": 1.0400489420645848e-05, + "loss": 0.8185, + "step": 21335 + }, + { + "epoch": 0.5, + "grad_norm": 2.117879193722375, + "learning_rate": 1.0399726990593493e-05, + "loss": 0.8969, + "step": 21336 + }, + { + "epoch": 0.5, + "grad_norm": 1.705979365815494, + "learning_rate": 1.0398964558213796e-05, + "loss": 0.8254, + "step": 21337 + }, + { + "epoch": 0.5, + "grad_norm": 0.828162543801919, + "learning_rate": 1.0398202123511207e-05, + "loss": 0.7308, + "step": 21338 + }, + { + "epoch": 0.5, + "grad_norm": 1.682997342312902, + "learning_rate": 1.0397439686490154e-05, + "loss": 0.8573, + "step": 21339 + }, + { + "epoch": 0.5, + "grad_norm": 1.5214032350764255, + "learning_rate": 1.0396677247155087e-05, + "loss": 0.9307, + "step": 21340 + }, + { + "epoch": 0.5, + "grad_norm": 1.6734224950714187, + "learning_rate": 1.0395914805510437e-05, + "loss": 0.789, + "step": 21341 + }, + { + "epoch": 0.5, + "grad_norm": 0.774431641123307, + "learning_rate": 1.0395152361560645e-05, + "loss": 0.7421, + "step": 21342 + }, + { + "epoch": 0.5, + "grad_norm": 1.5766394462595692, + "learning_rate": 1.039438991531015e-05, + "loss": 0.8316, + "step": 21343 + }, + { + "epoch": 0.5, + "grad_norm": 1.8426756179644126, + "learning_rate": 1.0393627466763395e-05, + "loss": 0.9511, + "step": 21344 + }, + { + "epoch": 0.5, + "grad_norm": 1.9698713740047713, + "learning_rate": 1.0392865015924813e-05, + "loss": 0.7422, + "step": 21345 + }, + { + "epoch": 0.5, + "grad_norm": 1.5344034448133186, + "learning_rate": 1.0392102562798847e-05, + "loss": 0.8069, + "step": 21346 + }, + { + "epoch": 0.5, + "grad_norm": 1.8325680779469098, + "learning_rate": 1.0391340107389938e-05, + "loss": 0.8974, + "step": 21347 + }, + { + "epoch": 0.5, + "grad_norm": 0.7874211847442618, + "learning_rate": 1.039057764970252e-05, + "loss": 0.7108, + "step": 21348 + }, + { + "epoch": 0.5, + "grad_norm": 1.6403834394317425, + "learning_rate": 1.0389815189741038e-05, + "loss": 0.867, + "step": 21349 + }, + { + "epoch": 0.5, + "grad_norm": 1.5141335321914726, + "learning_rate": 1.0389052727509928e-05, + "loss": 0.888, + "step": 21350 + }, + { + "epoch": 0.5, + "grad_norm": 1.4984324784587535, + "learning_rate": 1.0388290263013628e-05, + "loss": 0.9894, + "step": 21351 + }, + { + "epoch": 0.5, + "grad_norm": 1.8622388630396236, + "learning_rate": 1.038752779625658e-05, + "loss": 0.8733, + "step": 21352 + }, + { + "epoch": 0.5, + "grad_norm": 1.38849041968993, + "learning_rate": 1.0386765327243222e-05, + "loss": 0.8437, + "step": 21353 + }, + { + "epoch": 0.5, + "grad_norm": 2.2006501192253767, + "learning_rate": 1.0386002855977995e-05, + "loss": 0.934, + "step": 21354 + }, + { + "epoch": 0.5, + "grad_norm": 1.552309359163137, + "learning_rate": 1.038524038246534e-05, + "loss": 0.8634, + "step": 21355 + }, + { + "epoch": 0.5, + "grad_norm": 0.7995003604986338, + "learning_rate": 1.0384477906709687e-05, + "loss": 0.7301, + "step": 21356 + }, + { + "epoch": 0.5, + "grad_norm": 0.7429333916582863, + "learning_rate": 1.0383715428715489e-05, + "loss": 0.6699, + "step": 21357 + }, + { + "epoch": 0.5, + "grad_norm": 1.4631245180061077, + "learning_rate": 1.038295294848717e-05, + "loss": 0.8411, + "step": 21358 + }, + { + "epoch": 0.5, + "grad_norm": 1.585227681591031, + "learning_rate": 1.0382190466029186e-05, + "loss": 0.9278, + "step": 21359 + }, + { + "epoch": 0.5, + "grad_norm": 0.7325095432583599, + "learning_rate": 1.0381427981345961e-05, + "loss": 0.7093, + "step": 21360 + }, + { + "epoch": 0.5, + "grad_norm": 1.7023086123511901, + "learning_rate": 1.0380665494441949e-05, + "loss": 0.8851, + "step": 21361 + }, + { + "epoch": 0.5, + "grad_norm": 1.6047339197437014, + "learning_rate": 1.0379903005321576e-05, + "loss": 0.7914, + "step": 21362 + }, + { + "epoch": 0.5, + "grad_norm": 1.4822972737925053, + "learning_rate": 1.037914051398929e-05, + "loss": 0.8979, + "step": 21363 + }, + { + "epoch": 0.5, + "grad_norm": 1.6718479944562024, + "learning_rate": 1.0378378020449527e-05, + "loss": 0.8753, + "step": 21364 + }, + { + "epoch": 0.5, + "grad_norm": 1.634039724143322, + "learning_rate": 1.0377615524706726e-05, + "loss": 0.8655, + "step": 21365 + }, + { + "epoch": 0.5, + "grad_norm": 1.6069451042875516, + "learning_rate": 1.0376853026765332e-05, + "loss": 1.0218, + "step": 21366 + }, + { + "epoch": 0.5, + "grad_norm": 1.6069669208950843, + "learning_rate": 1.0376090526629773e-05, + "loss": 0.8492, + "step": 21367 + }, + { + "epoch": 0.5, + "grad_norm": 1.536972568261959, + "learning_rate": 1.0375328024304505e-05, + "loss": 0.8758, + "step": 21368 + }, + { + "epoch": 0.5, + "grad_norm": 1.7097593800716062, + "learning_rate": 1.0374565519793953e-05, + "loss": 0.8146, + "step": 21369 + }, + { + "epoch": 0.5, + "grad_norm": 0.7522541224767931, + "learning_rate": 1.0373803013102563e-05, + "loss": 0.7116, + "step": 21370 + }, + { + "epoch": 0.5, + "grad_norm": 1.5176234488035472, + "learning_rate": 1.0373040504234775e-05, + "loss": 0.7873, + "step": 21371 + }, + { + "epoch": 0.5, + "grad_norm": 1.5847790036196228, + "learning_rate": 1.0372277993195026e-05, + "loss": 0.9484, + "step": 21372 + }, + { + "epoch": 0.5, + "grad_norm": 1.8989820810562468, + "learning_rate": 1.0371515479987755e-05, + "loss": 0.8637, + "step": 21373 + }, + { + "epoch": 0.5, + "grad_norm": 1.9375409831524912, + "learning_rate": 1.0370752964617405e-05, + "loss": 0.8271, + "step": 21374 + }, + { + "epoch": 0.5, + "grad_norm": 1.501288124109198, + "learning_rate": 1.0369990447088415e-05, + "loss": 0.9833, + "step": 21375 + }, + { + "epoch": 0.5, + "grad_norm": 0.7647371661597115, + "learning_rate": 1.0369227927405223e-05, + "loss": 0.7477, + "step": 21376 + }, + { + "epoch": 0.5, + "grad_norm": 1.5583352681681448, + "learning_rate": 1.0368465405572265e-05, + "loss": 0.8448, + "step": 21377 + }, + { + "epoch": 0.5, + "grad_norm": 1.6221900625131194, + "learning_rate": 1.0367702881593988e-05, + "loss": 0.9932, + "step": 21378 + }, + { + "epoch": 0.5, + "grad_norm": 0.7920584750495542, + "learning_rate": 1.0366940355474829e-05, + "loss": 0.7651, + "step": 21379 + }, + { + "epoch": 0.5, + "grad_norm": 0.810132659212968, + "learning_rate": 1.0366177827219227e-05, + "loss": 0.7282, + "step": 21380 + }, + { + "epoch": 0.5, + "grad_norm": 0.8019308511034072, + "learning_rate": 1.036541529683162e-05, + "loss": 0.6538, + "step": 21381 + }, + { + "epoch": 0.5, + "grad_norm": 1.7094997054444043, + "learning_rate": 1.036465276431645e-05, + "loss": 0.8869, + "step": 21382 + }, + { + "epoch": 0.5, + "grad_norm": 1.482373418027004, + "learning_rate": 1.036389022967816e-05, + "loss": 0.8793, + "step": 21383 + }, + { + "epoch": 0.5, + "grad_norm": 1.5141703114558072, + "learning_rate": 1.036312769292118e-05, + "loss": 0.9087, + "step": 21384 + }, + { + "epoch": 0.5, + "grad_norm": 2.7380447473368448, + "learning_rate": 1.0362365154049959e-05, + "loss": 0.8781, + "step": 21385 + }, + { + "epoch": 0.5, + "grad_norm": 1.3892111066858877, + "learning_rate": 1.036160261306893e-05, + "loss": 0.8959, + "step": 21386 + }, + { + "epoch": 0.5, + "grad_norm": 1.6682279052753737, + "learning_rate": 1.036084006998254e-05, + "loss": 0.9635, + "step": 21387 + }, + { + "epoch": 0.5, + "grad_norm": 0.7642832999594316, + "learning_rate": 1.0360077524795222e-05, + "loss": 0.6925, + "step": 21388 + }, + { + "epoch": 0.5, + "grad_norm": 1.5214979220272014, + "learning_rate": 1.0359314977511423e-05, + "loss": 0.9798, + "step": 21389 + }, + { + "epoch": 0.5, + "grad_norm": 1.6571877660604788, + "learning_rate": 1.0358552428135576e-05, + "loss": 0.9882, + "step": 21390 + }, + { + "epoch": 0.5, + "grad_norm": 0.7812774031273684, + "learning_rate": 1.0357789876672122e-05, + "loss": 0.7887, + "step": 21391 + }, + { + "epoch": 0.5, + "grad_norm": 0.7933358506686211, + "learning_rate": 1.0357027323125503e-05, + "loss": 0.6553, + "step": 21392 + }, + { + "epoch": 0.5, + "grad_norm": 0.751996411627358, + "learning_rate": 1.0356264767500158e-05, + "loss": 0.7335, + "step": 21393 + }, + { + "epoch": 0.5, + "grad_norm": 1.78536949904636, + "learning_rate": 1.0355502209800525e-05, + "loss": 0.9724, + "step": 21394 + }, + { + "epoch": 0.5, + "grad_norm": 1.5231528331420652, + "learning_rate": 1.0354739650031047e-05, + "loss": 0.8867, + "step": 21395 + }, + { + "epoch": 0.5, + "grad_norm": 1.484985968001301, + "learning_rate": 1.0353977088196164e-05, + "loss": 0.8302, + "step": 21396 + }, + { + "epoch": 0.5, + "grad_norm": 2.048126509421457, + "learning_rate": 1.0353214524300312e-05, + "loss": 0.9572, + "step": 21397 + }, + { + "epoch": 0.5, + "grad_norm": 1.7030088366167537, + "learning_rate": 1.0352451958347936e-05, + "loss": 0.9191, + "step": 21398 + }, + { + "epoch": 0.5, + "grad_norm": 0.7662231771719831, + "learning_rate": 1.035168939034347e-05, + "loss": 0.7003, + "step": 21399 + }, + { + "epoch": 0.5, + "grad_norm": 1.4735703737713364, + "learning_rate": 1.0350926820291359e-05, + "loss": 0.9805, + "step": 21400 + }, + { + "epoch": 0.5, + "grad_norm": 2.095864537855366, + "learning_rate": 1.035016424819604e-05, + "loss": 0.9005, + "step": 21401 + }, + { + "epoch": 0.5, + "grad_norm": 1.5250779625497473, + "learning_rate": 1.0349401674061952e-05, + "loss": 0.9582, + "step": 21402 + }, + { + "epoch": 0.5, + "grad_norm": 2.03551923266874, + "learning_rate": 1.034863909789354e-05, + "loss": 0.8007, + "step": 21403 + }, + { + "epoch": 0.5, + "grad_norm": 1.490200969698481, + "learning_rate": 1.034787651969524e-05, + "loss": 0.9518, + "step": 21404 + }, + { + "epoch": 0.5, + "grad_norm": 1.6210410107369775, + "learning_rate": 1.0347113939471491e-05, + "loss": 0.7863, + "step": 21405 + }, + { + "epoch": 0.5, + "grad_norm": 1.4705456948495994, + "learning_rate": 1.0346351357226737e-05, + "loss": 0.7563, + "step": 21406 + }, + { + "epoch": 0.5, + "grad_norm": 1.6351226461080368, + "learning_rate": 1.0345588772965413e-05, + "loss": 0.7876, + "step": 21407 + }, + { + "epoch": 0.5, + "grad_norm": 1.5766385740523106, + "learning_rate": 1.0344826186691968e-05, + "loss": 0.9012, + "step": 21408 + }, + { + "epoch": 0.5, + "grad_norm": 1.874685792468082, + "learning_rate": 1.0344063598410829e-05, + "loss": 0.8256, + "step": 21409 + }, + { + "epoch": 0.5, + "grad_norm": 1.5946030580798465, + "learning_rate": 1.0343301008126447e-05, + "loss": 0.9262, + "step": 21410 + }, + { + "epoch": 0.5, + "grad_norm": 1.6692404562417031, + "learning_rate": 1.0342538415843255e-05, + "loss": 1.0195, + "step": 21411 + }, + { + "epoch": 0.5, + "grad_norm": 3.1578104895624888, + "learning_rate": 1.0341775821565699e-05, + "loss": 0.7961, + "step": 21412 + }, + { + "epoch": 0.5, + "grad_norm": 1.6969403816184714, + "learning_rate": 1.0341013225298213e-05, + "loss": 0.8732, + "step": 21413 + }, + { + "epoch": 0.5, + "grad_norm": 2.073821671043593, + "learning_rate": 1.0340250627045238e-05, + "loss": 0.8107, + "step": 21414 + }, + { + "epoch": 0.5, + "grad_norm": 1.8011376867187459, + "learning_rate": 1.0339488026811222e-05, + "loss": 0.8043, + "step": 21415 + }, + { + "epoch": 0.5, + "grad_norm": 1.65795475025434, + "learning_rate": 1.0338725424600596e-05, + "loss": 0.8813, + "step": 21416 + }, + { + "epoch": 0.5, + "grad_norm": 1.872132064023377, + "learning_rate": 1.0337962820417804e-05, + "loss": 1.0038, + "step": 21417 + }, + { + "epoch": 0.5, + "grad_norm": 1.5575407716114333, + "learning_rate": 1.0337200214267282e-05, + "loss": 0.8324, + "step": 21418 + }, + { + "epoch": 0.5, + "grad_norm": 1.6204234997406497, + "learning_rate": 1.033643760615348e-05, + "loss": 0.8195, + "step": 21419 + }, + { + "epoch": 0.5, + "grad_norm": 1.5297532382100034, + "learning_rate": 1.033567499608083e-05, + "loss": 0.7341, + "step": 21420 + }, + { + "epoch": 0.5, + "grad_norm": 1.6832858168981466, + "learning_rate": 1.033491238405377e-05, + "loss": 0.8094, + "step": 21421 + }, + { + "epoch": 0.5, + "grad_norm": 1.4786330447552518, + "learning_rate": 1.0334149770076747e-05, + "loss": 0.8671, + "step": 21422 + }, + { + "epoch": 0.5, + "grad_norm": 1.5799879253836195, + "learning_rate": 1.0333387154154197e-05, + "loss": 0.8649, + "step": 21423 + }, + { + "epoch": 0.5, + "grad_norm": 0.7853529120244868, + "learning_rate": 1.0332624536290563e-05, + "loss": 0.7596, + "step": 21424 + }, + { + "epoch": 0.5, + "grad_norm": 0.8108647070210321, + "learning_rate": 1.0331861916490283e-05, + "loss": 0.7817, + "step": 21425 + }, + { + "epoch": 0.5, + "grad_norm": 1.6774769395457696, + "learning_rate": 1.0331099294757798e-05, + "loss": 0.913, + "step": 21426 + }, + { + "epoch": 0.5, + "grad_norm": 1.5555763268717202, + "learning_rate": 1.0330336671097547e-05, + "loss": 0.9389, + "step": 21427 + }, + { + "epoch": 0.5, + "grad_norm": 1.5486546486689114, + "learning_rate": 1.0329574045513973e-05, + "loss": 1.0547, + "step": 21428 + }, + { + "epoch": 0.5, + "grad_norm": 1.508552984560923, + "learning_rate": 1.0328811418011514e-05, + "loss": 0.8171, + "step": 21429 + }, + { + "epoch": 0.5, + "grad_norm": 1.8689641615257915, + "learning_rate": 1.0328048788594609e-05, + "loss": 0.8675, + "step": 21430 + }, + { + "epoch": 0.5, + "grad_norm": 2.102652853352893, + "learning_rate": 1.0327286157267701e-05, + "loss": 0.808, + "step": 21431 + }, + { + "epoch": 0.5, + "grad_norm": 1.7826220112209021, + "learning_rate": 1.032652352403523e-05, + "loss": 0.866, + "step": 21432 + }, + { + "epoch": 0.5, + "grad_norm": 1.8204603398163794, + "learning_rate": 1.0325760888901638e-05, + "loss": 0.7442, + "step": 21433 + }, + { + "epoch": 0.5, + "grad_norm": 0.7799610149468691, + "learning_rate": 1.032499825187136e-05, + "loss": 0.7328, + "step": 21434 + }, + { + "epoch": 0.5, + "grad_norm": 1.6295344290807259, + "learning_rate": 1.0324235612948839e-05, + "loss": 0.9226, + "step": 21435 + }, + { + "epoch": 0.51, + "grad_norm": 1.8971525189533052, + "learning_rate": 1.0323472972138518e-05, + "loss": 0.86, + "step": 21436 + }, + { + "epoch": 0.51, + "grad_norm": 1.5500579030628516, + "learning_rate": 1.0322710329444831e-05, + "loss": 0.9912, + "step": 21437 + }, + { + "epoch": 0.51, + "grad_norm": 2.3540229523605727, + "learning_rate": 1.0321947684872227e-05, + "loss": 0.9533, + "step": 21438 + }, + { + "epoch": 0.51, + "grad_norm": 1.5228103816804586, + "learning_rate": 1.0321185038425137e-05, + "loss": 0.8937, + "step": 21439 + }, + { + "epoch": 0.51, + "grad_norm": 2.024646927803771, + "learning_rate": 1.032042239010801e-05, + "loss": 0.8761, + "step": 21440 + }, + { + "epoch": 0.51, + "grad_norm": 2.012629625649098, + "learning_rate": 1.031965973992528e-05, + "loss": 0.8397, + "step": 21441 + }, + { + "epoch": 0.51, + "grad_norm": 1.5959684348624485, + "learning_rate": 1.0318897087881392e-05, + "loss": 0.9085, + "step": 21442 + }, + { + "epoch": 0.51, + "grad_norm": 1.4523129641560348, + "learning_rate": 1.0318134433980781e-05, + "loss": 0.851, + "step": 21443 + }, + { + "epoch": 0.51, + "grad_norm": 1.61743235508885, + "learning_rate": 1.0317371778227893e-05, + "loss": 0.9045, + "step": 21444 + }, + { + "epoch": 0.51, + "grad_norm": 1.552223297609032, + "learning_rate": 1.0316609120627165e-05, + "loss": 0.9005, + "step": 21445 + }, + { + "epoch": 0.51, + "grad_norm": 1.445662030841537, + "learning_rate": 1.0315846461183039e-05, + "loss": 0.8055, + "step": 21446 + }, + { + "epoch": 0.51, + "grad_norm": 1.630953323455005, + "learning_rate": 1.0315083799899957e-05, + "loss": 0.7938, + "step": 21447 + }, + { + "epoch": 0.51, + "grad_norm": 1.4909945030271001, + "learning_rate": 1.0314321136782354e-05, + "loss": 0.7709, + "step": 21448 + }, + { + "epoch": 0.51, + "grad_norm": 1.5198257631357028, + "learning_rate": 1.0313558471834674e-05, + "loss": 1.0016, + "step": 21449 + }, + { + "epoch": 0.51, + "grad_norm": 1.8705050052006553, + "learning_rate": 1.031279580506136e-05, + "loss": 0.8753, + "step": 21450 + }, + { + "epoch": 0.51, + "grad_norm": 1.7059071511464559, + "learning_rate": 1.0312033136466848e-05, + "loss": 0.9602, + "step": 21451 + }, + { + "epoch": 0.51, + "grad_norm": 1.7685778064963693, + "learning_rate": 1.0311270466055578e-05, + "loss": 0.8371, + "step": 21452 + }, + { + "epoch": 0.51, + "grad_norm": 0.7901687378976314, + "learning_rate": 1.0310507793831997e-05, + "loss": 0.7139, + "step": 21453 + }, + { + "epoch": 0.51, + "grad_norm": 1.924156343229844, + "learning_rate": 1.0309745119800539e-05, + "loss": 0.8692, + "step": 21454 + }, + { + "epoch": 0.51, + "grad_norm": 1.5540842100011014, + "learning_rate": 1.030898244396565e-05, + "loss": 0.8725, + "step": 21455 + }, + { + "epoch": 0.51, + "grad_norm": 0.7679928097443819, + "learning_rate": 1.0308219766331762e-05, + "loss": 0.7479, + "step": 21456 + }, + { + "epoch": 0.51, + "grad_norm": 1.525798213923217, + "learning_rate": 1.0307457086903325e-05, + "loss": 0.8023, + "step": 21457 + }, + { + "epoch": 0.51, + "grad_norm": 0.7298947662340444, + "learning_rate": 1.0306694405684771e-05, + "loss": 0.725, + "step": 21458 + }, + { + "epoch": 0.51, + "grad_norm": 1.5762911103389348, + "learning_rate": 1.030593172268055e-05, + "loss": 0.9072, + "step": 21459 + }, + { + "epoch": 0.51, + "grad_norm": 1.7422986180404842, + "learning_rate": 1.0305169037895095e-05, + "loss": 0.9183, + "step": 21460 + }, + { + "epoch": 0.51, + "grad_norm": 1.937171505045185, + "learning_rate": 1.0304406351332852e-05, + "loss": 1.0042, + "step": 21461 + }, + { + "epoch": 0.51, + "grad_norm": 1.7483977499609333, + "learning_rate": 1.0303643662998255e-05, + "loss": 0.7681, + "step": 21462 + }, + { + "epoch": 0.51, + "grad_norm": 1.909396084518182, + "learning_rate": 1.0302880972895751e-05, + "loss": 0.8402, + "step": 21463 + }, + { + "epoch": 0.51, + "grad_norm": 1.8030962126597938, + "learning_rate": 1.030211828102978e-05, + "loss": 0.833, + "step": 21464 + }, + { + "epoch": 0.51, + "grad_norm": 1.487560028903939, + "learning_rate": 1.0301355587404775e-05, + "loss": 0.8879, + "step": 21465 + }, + { + "epoch": 0.51, + "grad_norm": 1.6630228013853385, + "learning_rate": 1.0300592892025187e-05, + "loss": 0.8673, + "step": 21466 + }, + { + "epoch": 0.51, + "grad_norm": 1.6146298683682505, + "learning_rate": 1.029983019489545e-05, + "loss": 0.958, + "step": 21467 + }, + { + "epoch": 0.51, + "grad_norm": 1.8399117873016357, + "learning_rate": 1.029906749602001e-05, + "loss": 0.8368, + "step": 21468 + }, + { + "epoch": 0.51, + "grad_norm": 1.602936821945854, + "learning_rate": 1.0298304795403298e-05, + "loss": 0.8034, + "step": 21469 + }, + { + "epoch": 0.51, + "grad_norm": 0.7552558163326146, + "learning_rate": 1.0297542093049767e-05, + "loss": 0.7272, + "step": 21470 + }, + { + "epoch": 0.51, + "grad_norm": 2.326854710210165, + "learning_rate": 1.0296779388963849e-05, + "loss": 0.8567, + "step": 21471 + }, + { + "epoch": 0.51, + "grad_norm": 0.741673419437297, + "learning_rate": 1.0296016683149988e-05, + "loss": 0.7525, + "step": 21472 + }, + { + "epoch": 0.51, + "grad_norm": 1.5949834970241104, + "learning_rate": 1.0295253975612624e-05, + "loss": 0.8402, + "step": 21473 + }, + { + "epoch": 0.51, + "grad_norm": 1.5018658479907925, + "learning_rate": 1.02944912663562e-05, + "loss": 0.9564, + "step": 21474 + }, + { + "epoch": 0.51, + "grad_norm": 1.6339388472365821, + "learning_rate": 1.0293728555385149e-05, + "loss": 0.7624, + "step": 21475 + }, + { + "epoch": 0.51, + "grad_norm": 1.537052564967732, + "learning_rate": 1.0292965842703922e-05, + "loss": 0.8605, + "step": 21476 + }, + { + "epoch": 0.51, + "grad_norm": 1.6263195034172768, + "learning_rate": 1.0292203128316953e-05, + "loss": 0.8712, + "step": 21477 + }, + { + "epoch": 0.51, + "grad_norm": 1.8436800408306013, + "learning_rate": 1.0291440412228688e-05, + "loss": 0.9725, + "step": 21478 + }, + { + "epoch": 0.51, + "grad_norm": 0.7816112142035561, + "learning_rate": 1.029067769444356e-05, + "loss": 0.7402, + "step": 21479 + }, + { + "epoch": 0.51, + "grad_norm": 1.9948993086063738, + "learning_rate": 1.0289914974966018e-05, + "loss": 0.8892, + "step": 21480 + }, + { + "epoch": 0.51, + "grad_norm": 1.5669831302230222, + "learning_rate": 1.0289152253800499e-05, + "loss": 0.974, + "step": 21481 + }, + { + "epoch": 0.51, + "grad_norm": 1.5526728365769968, + "learning_rate": 1.0288389530951444e-05, + "loss": 0.8057, + "step": 21482 + }, + { + "epoch": 0.51, + "grad_norm": 1.6444330123817879, + "learning_rate": 1.0287626806423292e-05, + "loss": 0.8624, + "step": 21483 + }, + { + "epoch": 0.51, + "grad_norm": 4.782503676608747, + "learning_rate": 1.0286864080220486e-05, + "loss": 0.7829, + "step": 21484 + }, + { + "epoch": 0.51, + "grad_norm": 2.8581454031374074, + "learning_rate": 1.028610135234747e-05, + "loss": 0.7742, + "step": 21485 + }, + { + "epoch": 0.51, + "grad_norm": 1.4239636839151333, + "learning_rate": 1.0285338622808676e-05, + "loss": 0.7932, + "step": 21486 + }, + { + "epoch": 0.51, + "grad_norm": 1.5487060725402348, + "learning_rate": 1.0284575891608556e-05, + "loss": 1.0126, + "step": 21487 + }, + { + "epoch": 0.51, + "grad_norm": 1.37993792047054, + "learning_rate": 1.0283813158751539e-05, + "loss": 0.9312, + "step": 21488 + }, + { + "epoch": 0.51, + "grad_norm": 0.750016836784388, + "learning_rate": 1.0283050424242076e-05, + "loss": 0.6833, + "step": 21489 + }, + { + "epoch": 0.51, + "grad_norm": 1.615763643515268, + "learning_rate": 1.02822876880846e-05, + "loss": 0.9367, + "step": 21490 + }, + { + "epoch": 0.51, + "grad_norm": 1.7577750931839269, + "learning_rate": 1.0281524950283562e-05, + "loss": 0.8813, + "step": 21491 + }, + { + "epoch": 0.51, + "grad_norm": 1.987262539656815, + "learning_rate": 1.0280762210843391e-05, + "loss": 0.9154, + "step": 21492 + }, + { + "epoch": 0.51, + "grad_norm": 1.6334594719677897, + "learning_rate": 1.0279999469768535e-05, + "loss": 0.7186, + "step": 21493 + }, + { + "epoch": 0.51, + "grad_norm": 1.415525855586338, + "learning_rate": 1.0279236727063436e-05, + "loss": 0.8979, + "step": 21494 + }, + { + "epoch": 0.51, + "grad_norm": 0.7686330532366916, + "learning_rate": 1.0278473982732529e-05, + "loss": 0.7367, + "step": 21495 + }, + { + "epoch": 0.51, + "grad_norm": 2.490857081848831, + "learning_rate": 1.0277711236780261e-05, + "loss": 0.9252, + "step": 21496 + }, + { + "epoch": 0.51, + "grad_norm": 0.7875105509034634, + "learning_rate": 1.0276948489211068e-05, + "loss": 0.7875, + "step": 21497 + }, + { + "epoch": 0.51, + "grad_norm": 1.609909652363044, + "learning_rate": 1.0276185740029393e-05, + "loss": 0.796, + "step": 21498 + }, + { + "epoch": 0.51, + "grad_norm": 1.8084625100358125, + "learning_rate": 1.027542298923968e-05, + "loss": 0.9148, + "step": 21499 + }, + { + "epoch": 0.51, + "grad_norm": 1.8269279084138423, + "learning_rate": 1.0274660236846364e-05, + "loss": 0.9082, + "step": 21500 + }, + { + "epoch": 0.51, + "grad_norm": 1.83278079019822, + "learning_rate": 1.0273897482853891e-05, + "loss": 0.8239, + "step": 21501 + }, + { + "epoch": 0.51, + "grad_norm": 1.4446711364652096, + "learning_rate": 1.02731347272667e-05, + "loss": 0.7632, + "step": 21502 + }, + { + "epoch": 0.51, + "grad_norm": 1.6098555614627952, + "learning_rate": 1.0272371970089232e-05, + "loss": 0.8623, + "step": 21503 + }, + { + "epoch": 0.51, + "grad_norm": 1.6503796306574023, + "learning_rate": 1.0271609211325928e-05, + "loss": 0.8354, + "step": 21504 + }, + { + "epoch": 0.51, + "grad_norm": 1.854096920426312, + "learning_rate": 1.0270846450981228e-05, + "loss": 0.9424, + "step": 21505 + }, + { + "epoch": 0.51, + "grad_norm": 2.478940742390325, + "learning_rate": 1.0270083689059578e-05, + "loss": 0.9432, + "step": 21506 + }, + { + "epoch": 0.51, + "grad_norm": 1.6311330050173816, + "learning_rate": 1.0269320925565409e-05, + "loss": 0.7647, + "step": 21507 + }, + { + "epoch": 0.51, + "grad_norm": 2.5720868512765267, + "learning_rate": 1.0268558160503174e-05, + "loss": 0.7677, + "step": 21508 + }, + { + "epoch": 0.51, + "grad_norm": 1.581199953599987, + "learning_rate": 1.0267795393877305e-05, + "loss": 0.8372, + "step": 21509 + }, + { + "epoch": 0.51, + "grad_norm": 2.0809512921581375, + "learning_rate": 1.026703262569225e-05, + "loss": 0.9509, + "step": 21510 + }, + { + "epoch": 0.51, + "grad_norm": 1.538536316406451, + "learning_rate": 1.0266269855952442e-05, + "loss": 0.8728, + "step": 21511 + }, + { + "epoch": 0.51, + "grad_norm": 1.6945637847078336, + "learning_rate": 1.026550708466233e-05, + "loss": 0.8769, + "step": 21512 + }, + { + "epoch": 0.51, + "grad_norm": 2.205797161075929, + "learning_rate": 1.026474431182635e-05, + "loss": 0.8835, + "step": 21513 + }, + { + "epoch": 0.51, + "grad_norm": 1.6474820961297298, + "learning_rate": 1.0263981537448944e-05, + "loss": 0.9178, + "step": 21514 + }, + { + "epoch": 0.51, + "grad_norm": 0.7728162873611656, + "learning_rate": 1.0263218761534557e-05, + "loss": 0.6701, + "step": 21515 + }, + { + "epoch": 0.51, + "grad_norm": 1.4441928672569608, + "learning_rate": 1.0262455984087626e-05, + "loss": 0.8632, + "step": 21516 + }, + { + "epoch": 0.51, + "grad_norm": 1.8834611650492827, + "learning_rate": 1.0261693205112592e-05, + "loss": 0.8587, + "step": 21517 + }, + { + "epoch": 0.51, + "grad_norm": 1.6611477786648061, + "learning_rate": 1.0260930424613895e-05, + "loss": 0.6344, + "step": 21518 + }, + { + "epoch": 0.51, + "grad_norm": 1.6177317831712772, + "learning_rate": 1.0260167642595984e-05, + "loss": 0.8638, + "step": 21519 + }, + { + "epoch": 0.51, + "grad_norm": 1.548779001500217, + "learning_rate": 1.0259404859063288e-05, + "loss": 0.9744, + "step": 21520 + }, + { + "epoch": 0.51, + "grad_norm": 1.5582630351409483, + "learning_rate": 1.0258642074020261e-05, + "loss": 1.0226, + "step": 21521 + }, + { + "epoch": 0.51, + "grad_norm": 1.8838224437407403, + "learning_rate": 1.0257879287471337e-05, + "loss": 0.8848, + "step": 21522 + }, + { + "epoch": 0.51, + "grad_norm": 2.331330406812713, + "learning_rate": 1.0257116499420955e-05, + "loss": 0.8727, + "step": 21523 + }, + { + "epoch": 0.51, + "grad_norm": 1.8771978791907256, + "learning_rate": 1.0256353709873563e-05, + "loss": 0.816, + "step": 21524 + }, + { + "epoch": 0.51, + "grad_norm": 1.6587756583023583, + "learning_rate": 1.0255590918833596e-05, + "loss": 0.8326, + "step": 21525 + }, + { + "epoch": 0.51, + "grad_norm": 1.8695785644294929, + "learning_rate": 1.0254828126305498e-05, + "loss": 0.9773, + "step": 21526 + }, + { + "epoch": 0.51, + "grad_norm": 1.8743118063769335, + "learning_rate": 1.025406533229371e-05, + "loss": 0.8013, + "step": 21527 + }, + { + "epoch": 0.51, + "grad_norm": 2.4864518617254263, + "learning_rate": 1.0253302536802674e-05, + "loss": 0.8597, + "step": 21528 + }, + { + "epoch": 0.51, + "grad_norm": 1.496569616805326, + "learning_rate": 1.025253973983683e-05, + "loss": 0.9801, + "step": 21529 + }, + { + "epoch": 0.51, + "grad_norm": 1.4329967239207775, + "learning_rate": 1.025177694140062e-05, + "loss": 0.783, + "step": 21530 + }, + { + "epoch": 0.51, + "grad_norm": 1.5946471405451241, + "learning_rate": 1.0251014141498486e-05, + "loss": 0.8986, + "step": 21531 + }, + { + "epoch": 0.51, + "grad_norm": 1.7151371491814793, + "learning_rate": 1.0250251340134865e-05, + "loss": 0.8665, + "step": 21532 + }, + { + "epoch": 0.51, + "grad_norm": 1.6317419597781293, + "learning_rate": 1.0249488537314203e-05, + "loss": 1.0343, + "step": 21533 + }, + { + "epoch": 0.51, + "grad_norm": 1.5226233922073544, + "learning_rate": 1.0248725733040941e-05, + "loss": 0.8394, + "step": 21534 + }, + { + "epoch": 0.51, + "grad_norm": 1.5115964170284886, + "learning_rate": 1.0247962927319518e-05, + "loss": 0.866, + "step": 21535 + }, + { + "epoch": 0.51, + "grad_norm": 1.7224074512509269, + "learning_rate": 1.0247200120154377e-05, + "loss": 0.7749, + "step": 21536 + }, + { + "epoch": 0.51, + "grad_norm": 1.6730796127855134, + "learning_rate": 1.0246437311549957e-05, + "loss": 0.8335, + "step": 21537 + }, + { + "epoch": 0.51, + "grad_norm": 1.3933749438450844, + "learning_rate": 1.0245674501510703e-05, + "loss": 0.9047, + "step": 21538 + }, + { + "epoch": 0.51, + "grad_norm": 1.4957031789376103, + "learning_rate": 1.0244911690041051e-05, + "loss": 0.9109, + "step": 21539 + }, + { + "epoch": 0.51, + "grad_norm": 1.533742998980566, + "learning_rate": 1.024414887714545e-05, + "loss": 0.9633, + "step": 21540 + }, + { + "epoch": 0.51, + "grad_norm": 1.62648832135089, + "learning_rate": 1.0243386062828333e-05, + "loss": 0.7187, + "step": 21541 + }, + { + "epoch": 0.51, + "grad_norm": 1.6804129572704207, + "learning_rate": 1.024262324709415e-05, + "loss": 1.0252, + "step": 21542 + }, + { + "epoch": 0.51, + "grad_norm": 0.8468382562055438, + "learning_rate": 1.0241860429947334e-05, + "loss": 0.7982, + "step": 21543 + }, + { + "epoch": 0.51, + "grad_norm": 1.7131645149563428, + "learning_rate": 1.024109761139233e-05, + "loss": 0.8135, + "step": 21544 + }, + { + "epoch": 0.51, + "grad_norm": 1.5927579788452444, + "learning_rate": 1.0240334791433581e-05, + "loss": 0.8479, + "step": 21545 + }, + { + "epoch": 0.51, + "grad_norm": 1.5965076999894807, + "learning_rate": 1.0239571970075526e-05, + "loss": 0.9089, + "step": 21546 + }, + { + "epoch": 0.51, + "grad_norm": 1.4894739520241038, + "learning_rate": 1.0238809147322606e-05, + "loss": 0.8689, + "step": 21547 + }, + { + "epoch": 0.51, + "grad_norm": 1.7708985028757824, + "learning_rate": 1.0238046323179265e-05, + "loss": 0.9796, + "step": 21548 + }, + { + "epoch": 0.51, + "grad_norm": 1.6322278038117237, + "learning_rate": 1.0237283497649942e-05, + "loss": 0.921, + "step": 21549 + }, + { + "epoch": 0.51, + "grad_norm": 2.063767549488954, + "learning_rate": 1.0236520670739081e-05, + "loss": 0.7815, + "step": 21550 + }, + { + "epoch": 0.51, + "grad_norm": 1.7583547407337152, + "learning_rate": 1.023575784245112e-05, + "loss": 0.765, + "step": 21551 + }, + { + "epoch": 0.51, + "grad_norm": 1.6914469887506793, + "learning_rate": 1.0234995012790503e-05, + "loss": 0.8282, + "step": 21552 + }, + { + "epoch": 0.51, + "grad_norm": 1.4828351808769256, + "learning_rate": 1.023423218176167e-05, + "loss": 0.8156, + "step": 21553 + }, + { + "epoch": 0.51, + "grad_norm": 1.8889699578055752, + "learning_rate": 1.0233469349369062e-05, + "loss": 0.8208, + "step": 21554 + }, + { + "epoch": 0.51, + "grad_norm": 1.521910631257128, + "learning_rate": 1.0232706515617123e-05, + "loss": 0.8176, + "step": 21555 + }, + { + "epoch": 0.51, + "grad_norm": 1.7079492696139926, + "learning_rate": 1.0231943680510295e-05, + "loss": 0.8833, + "step": 21556 + }, + { + "epoch": 0.51, + "grad_norm": 0.7559309575974008, + "learning_rate": 1.0231180844053017e-05, + "loss": 0.771, + "step": 21557 + }, + { + "epoch": 0.51, + "grad_norm": 1.6547215673896838, + "learning_rate": 1.0230418006249728e-05, + "loss": 1.0049, + "step": 21558 + }, + { + "epoch": 0.51, + "grad_norm": 1.6495348185015497, + "learning_rate": 1.0229655167104876e-05, + "loss": 0.9274, + "step": 21559 + }, + { + "epoch": 0.51, + "grad_norm": 1.776393379190168, + "learning_rate": 1.0228892326622892e-05, + "loss": 0.8228, + "step": 21560 + }, + { + "epoch": 0.51, + "grad_norm": 2.3331480680304955, + "learning_rate": 1.022812948480823e-05, + "loss": 0.7363, + "step": 21561 + }, + { + "epoch": 0.51, + "grad_norm": 1.883833342359796, + "learning_rate": 1.0227366641665327e-05, + "loss": 0.9182, + "step": 21562 + }, + { + "epoch": 0.51, + "grad_norm": 1.9918623676618263, + "learning_rate": 1.022660379719862e-05, + "loss": 0.7761, + "step": 21563 + }, + { + "epoch": 0.51, + "grad_norm": 1.6976253016409129, + "learning_rate": 1.0225840951412557e-05, + "loss": 0.852, + "step": 21564 + }, + { + "epoch": 0.51, + "grad_norm": 1.7037015908018889, + "learning_rate": 1.0225078104311572e-05, + "loss": 0.8209, + "step": 21565 + }, + { + "epoch": 0.51, + "grad_norm": 1.9735966565841028, + "learning_rate": 1.0224315255900116e-05, + "loss": 0.9848, + "step": 21566 + }, + { + "epoch": 0.51, + "grad_norm": 1.9547965830293945, + "learning_rate": 1.0223552406182622e-05, + "loss": 0.6378, + "step": 21567 + }, + { + "epoch": 0.51, + "grad_norm": 1.9373475488443013, + "learning_rate": 1.0222789555163538e-05, + "loss": 0.9853, + "step": 21568 + }, + { + "epoch": 0.51, + "grad_norm": 1.659103192384134, + "learning_rate": 1.02220267028473e-05, + "loss": 0.8584, + "step": 21569 + }, + { + "epoch": 0.51, + "grad_norm": 1.5903560266508694, + "learning_rate": 1.0221263849238357e-05, + "loss": 1.0243, + "step": 21570 + }, + { + "epoch": 0.51, + "grad_norm": 0.7373265469623259, + "learning_rate": 1.022050099434114e-05, + "loss": 0.7536, + "step": 21571 + }, + { + "epoch": 0.51, + "grad_norm": 1.5603448637979587, + "learning_rate": 1.02197381381601e-05, + "loss": 0.9776, + "step": 21572 + }, + { + "epoch": 0.51, + "grad_norm": 1.742365889974328, + "learning_rate": 1.0218975280699675e-05, + "loss": 0.8656, + "step": 21573 + }, + { + "epoch": 0.51, + "grad_norm": 1.456173146233232, + "learning_rate": 1.0218212421964304e-05, + "loss": 0.7902, + "step": 21574 + }, + { + "epoch": 0.51, + "grad_norm": 1.5482946942744151, + "learning_rate": 1.0217449561958432e-05, + "loss": 0.9339, + "step": 21575 + }, + { + "epoch": 0.51, + "grad_norm": 1.6588261337879555, + "learning_rate": 1.02166867006865e-05, + "loss": 0.8594, + "step": 21576 + }, + { + "epoch": 0.51, + "grad_norm": 1.7046129086792154, + "learning_rate": 1.021592383815295e-05, + "loss": 0.8431, + "step": 21577 + }, + { + "epoch": 0.51, + "grad_norm": 2.0283037393134604, + "learning_rate": 1.0215160974362224e-05, + "loss": 0.9426, + "step": 21578 + }, + { + "epoch": 0.51, + "grad_norm": 0.7914172993089403, + "learning_rate": 1.0214398109318761e-05, + "loss": 0.6981, + "step": 21579 + }, + { + "epoch": 0.51, + "grad_norm": 1.5689300417676322, + "learning_rate": 1.0213635243027004e-05, + "loss": 0.789, + "step": 21580 + }, + { + "epoch": 0.51, + "grad_norm": 1.6458673280579617, + "learning_rate": 1.0212872375491396e-05, + "loss": 0.8515, + "step": 21581 + }, + { + "epoch": 0.51, + "grad_norm": 2.0811763192783332, + "learning_rate": 1.021210950671638e-05, + "loss": 0.8926, + "step": 21582 + }, + { + "epoch": 0.51, + "grad_norm": 1.9227690881696897, + "learning_rate": 1.021134663670639e-05, + "loss": 0.8819, + "step": 21583 + }, + { + "epoch": 0.51, + "grad_norm": 0.767292106863545, + "learning_rate": 1.0210583765465875e-05, + "loss": 0.6917, + "step": 21584 + }, + { + "epoch": 0.51, + "grad_norm": 1.6255744992575274, + "learning_rate": 1.0209820892999275e-05, + "loss": 0.8414, + "step": 21585 + }, + { + "epoch": 0.51, + "grad_norm": 0.7861974302384528, + "learning_rate": 1.0209058019311034e-05, + "loss": 0.7076, + "step": 21586 + }, + { + "epoch": 0.51, + "grad_norm": 1.6845393363551047, + "learning_rate": 1.0208295144405592e-05, + "loss": 0.8856, + "step": 21587 + }, + { + "epoch": 0.51, + "grad_norm": 1.6026663428919297, + "learning_rate": 1.0207532268287384e-05, + "loss": 0.9692, + "step": 21588 + }, + { + "epoch": 0.51, + "grad_norm": 1.6460671306630017, + "learning_rate": 1.020676939096086e-05, + "loss": 1.0382, + "step": 21589 + }, + { + "epoch": 0.51, + "grad_norm": 1.4438816246523776, + "learning_rate": 1.0206006512430457e-05, + "loss": 0.8066, + "step": 21590 + }, + { + "epoch": 0.51, + "grad_norm": 1.6376912032397415, + "learning_rate": 1.0205243632700622e-05, + "loss": 0.9647, + "step": 21591 + }, + { + "epoch": 0.51, + "grad_norm": 1.6273074200798923, + "learning_rate": 1.0204480751775792e-05, + "loss": 0.962, + "step": 21592 + }, + { + "epoch": 0.51, + "grad_norm": 1.7094960617322539, + "learning_rate": 1.0203717869660413e-05, + "loss": 0.8677, + "step": 21593 + }, + { + "epoch": 0.51, + "grad_norm": 1.573705508649346, + "learning_rate": 1.0202954986358921e-05, + "loss": 0.8689, + "step": 21594 + }, + { + "epoch": 0.51, + "grad_norm": 1.6109220654008536, + "learning_rate": 1.0202192101875763e-05, + "loss": 0.8993, + "step": 21595 + }, + { + "epoch": 0.51, + "grad_norm": 1.6391510778710656, + "learning_rate": 1.0201429216215378e-05, + "loss": 0.9722, + "step": 21596 + }, + { + "epoch": 0.51, + "grad_norm": 1.625112409272121, + "learning_rate": 1.0200666329382205e-05, + "loss": 0.7812, + "step": 21597 + }, + { + "epoch": 0.51, + "grad_norm": 1.7411215487473017, + "learning_rate": 1.0199903441380692e-05, + "loss": 0.9565, + "step": 21598 + }, + { + "epoch": 0.51, + "grad_norm": 1.5046358125901804, + "learning_rate": 1.0199140552215276e-05, + "loss": 0.7959, + "step": 21599 + }, + { + "epoch": 0.51, + "grad_norm": 1.6331424849363292, + "learning_rate": 1.0198377661890404e-05, + "loss": 0.7484, + "step": 21600 + }, + { + "epoch": 0.51, + "grad_norm": 1.6509093247709474, + "learning_rate": 1.0197614770410513e-05, + "loss": 0.9932, + "step": 21601 + }, + { + "epoch": 0.51, + "grad_norm": 0.7376540363343977, + "learning_rate": 1.0196851877780045e-05, + "loss": 0.7217, + "step": 21602 + }, + { + "epoch": 0.51, + "grad_norm": 1.520133059345237, + "learning_rate": 1.0196088984003444e-05, + "loss": 0.891, + "step": 21603 + }, + { + "epoch": 0.51, + "grad_norm": 0.7833294651929578, + "learning_rate": 1.0195326089085152e-05, + "loss": 0.7092, + "step": 21604 + }, + { + "epoch": 0.51, + "grad_norm": 1.4760507689371138, + "learning_rate": 1.0194563193029608e-05, + "loss": 0.888, + "step": 21605 + }, + { + "epoch": 0.51, + "grad_norm": 1.6591410782035192, + "learning_rate": 1.0193800295841257e-05, + "loss": 0.8106, + "step": 21606 + }, + { + "epoch": 0.51, + "grad_norm": 1.48172839187895, + "learning_rate": 1.0193037397524538e-05, + "loss": 0.7903, + "step": 21607 + }, + { + "epoch": 0.51, + "grad_norm": 1.6352065733545922, + "learning_rate": 1.0192274498083895e-05, + "loss": 0.8488, + "step": 21608 + }, + { + "epoch": 0.51, + "grad_norm": 1.7487788295572144, + "learning_rate": 1.0191511597523767e-05, + "loss": 0.8292, + "step": 21609 + }, + { + "epoch": 0.51, + "grad_norm": 1.504924255665461, + "learning_rate": 1.01907486958486e-05, + "loss": 0.7406, + "step": 21610 + }, + { + "epoch": 0.51, + "grad_norm": 1.7611567721707446, + "learning_rate": 1.0189985793062833e-05, + "loss": 0.8918, + "step": 21611 + }, + { + "epoch": 0.51, + "grad_norm": 1.9483372334968103, + "learning_rate": 1.0189222889170906e-05, + "loss": 0.7747, + "step": 21612 + }, + { + "epoch": 0.51, + "grad_norm": 1.9168277563744163, + "learning_rate": 1.0188459984177268e-05, + "loss": 0.97, + "step": 21613 + }, + { + "epoch": 0.51, + "grad_norm": 1.580670935125233, + "learning_rate": 1.0187697078086354e-05, + "loss": 0.7874, + "step": 21614 + }, + { + "epoch": 0.51, + "grad_norm": 1.6499641695071137, + "learning_rate": 1.0186934170902611e-05, + "loss": 0.7843, + "step": 21615 + }, + { + "epoch": 0.51, + "grad_norm": 1.6966296191883004, + "learning_rate": 1.0186171262630473e-05, + "loss": 0.9071, + "step": 21616 + }, + { + "epoch": 0.51, + "grad_norm": 1.8002531068335659, + "learning_rate": 1.018540835327439e-05, + "loss": 0.8158, + "step": 21617 + }, + { + "epoch": 0.51, + "grad_norm": 1.9597471622323404, + "learning_rate": 1.0184645442838802e-05, + "loss": 0.8298, + "step": 21618 + }, + { + "epoch": 0.51, + "grad_norm": 1.5868018594469218, + "learning_rate": 1.0183882531328148e-05, + "loss": 0.8304, + "step": 21619 + }, + { + "epoch": 0.51, + "grad_norm": 1.6139049599806414, + "learning_rate": 1.0183119618746871e-05, + "loss": 0.8254, + "step": 21620 + }, + { + "epoch": 0.51, + "grad_norm": 1.795199046329761, + "learning_rate": 1.0182356705099416e-05, + "loss": 0.8765, + "step": 21621 + }, + { + "epoch": 0.51, + "grad_norm": 1.6477128958442442, + "learning_rate": 1.0181593790390221e-05, + "loss": 0.886, + "step": 21622 + }, + { + "epoch": 0.51, + "grad_norm": 1.7782797940545108, + "learning_rate": 1.0180830874623729e-05, + "loss": 0.9108, + "step": 21623 + }, + { + "epoch": 0.51, + "grad_norm": 1.5890711855334514, + "learning_rate": 1.0180067957804383e-05, + "loss": 0.8806, + "step": 21624 + }, + { + "epoch": 0.51, + "grad_norm": 1.8079156170072637, + "learning_rate": 1.0179305039936624e-05, + "loss": 1.0195, + "step": 21625 + }, + { + "epoch": 0.51, + "grad_norm": 1.768937084798378, + "learning_rate": 1.0178542121024895e-05, + "loss": 0.8387, + "step": 21626 + }, + { + "epoch": 0.51, + "grad_norm": 1.7571188697942788, + "learning_rate": 1.0177779201073636e-05, + "loss": 0.7394, + "step": 21627 + }, + { + "epoch": 0.51, + "grad_norm": 2.0480148390922883, + "learning_rate": 1.017701628008729e-05, + "loss": 0.8288, + "step": 21628 + }, + { + "epoch": 0.51, + "grad_norm": 1.666349294583804, + "learning_rate": 1.0176253358070301e-05, + "loss": 0.9048, + "step": 21629 + }, + { + "epoch": 0.51, + "grad_norm": 1.724236536823466, + "learning_rate": 1.017549043502711e-05, + "loss": 0.8567, + "step": 21630 + }, + { + "epoch": 0.51, + "grad_norm": 1.3819429511791697, + "learning_rate": 1.0174727510962154e-05, + "loss": 0.822, + "step": 21631 + }, + { + "epoch": 0.51, + "grad_norm": 1.580222031724976, + "learning_rate": 1.0173964585879884e-05, + "loss": 0.8429, + "step": 21632 + }, + { + "epoch": 0.51, + "grad_norm": 1.501491917680089, + "learning_rate": 1.0173201659784732e-05, + "loss": 0.8585, + "step": 21633 + }, + { + "epoch": 0.51, + "grad_norm": 1.5432366892248892, + "learning_rate": 1.017243873268115e-05, + "loss": 0.8294, + "step": 21634 + }, + { + "epoch": 0.51, + "grad_norm": 2.5885603758264475, + "learning_rate": 1.017167580457357e-05, + "loss": 0.9797, + "step": 21635 + }, + { + "epoch": 0.51, + "grad_norm": 1.8137552344652135, + "learning_rate": 1.0170912875466445e-05, + "loss": 0.8666, + "step": 21636 + }, + { + "epoch": 0.51, + "grad_norm": 2.7761882366179944, + "learning_rate": 1.0170149945364204e-05, + "loss": 1.0316, + "step": 21637 + }, + { + "epoch": 0.51, + "grad_norm": 0.7487032435882459, + "learning_rate": 1.0169387014271303e-05, + "loss": 0.7188, + "step": 21638 + }, + { + "epoch": 0.51, + "grad_norm": 2.0857526492392644, + "learning_rate": 1.0168624082192173e-05, + "loss": 0.774, + "step": 21639 + }, + { + "epoch": 0.51, + "grad_norm": 1.8206282651353438, + "learning_rate": 1.0167861149131265e-05, + "loss": 0.8777, + "step": 21640 + }, + { + "epoch": 0.51, + "grad_norm": 1.8054883152127768, + "learning_rate": 1.016709821509301e-05, + "loss": 0.8058, + "step": 21641 + }, + { + "epoch": 0.51, + "grad_norm": 1.5603108537170522, + "learning_rate": 1.0166335280081861e-05, + "loss": 0.9962, + "step": 21642 + }, + { + "epoch": 0.51, + "grad_norm": 1.777544680047807, + "learning_rate": 1.0165572344102252e-05, + "loss": 0.9728, + "step": 21643 + }, + { + "epoch": 0.51, + "grad_norm": 1.9599492691210172, + "learning_rate": 1.0164809407158632e-05, + "loss": 0.8768, + "step": 21644 + }, + { + "epoch": 0.51, + "grad_norm": 1.5477137513100767, + "learning_rate": 1.0164046469255437e-05, + "loss": 0.8899, + "step": 21645 + }, + { + "epoch": 0.51, + "grad_norm": 1.516050792583434, + "learning_rate": 1.0163283530397112e-05, + "loss": 0.7933, + "step": 21646 + }, + { + "epoch": 0.51, + "grad_norm": 1.550051013470634, + "learning_rate": 1.01625205905881e-05, + "loss": 0.8763, + "step": 21647 + }, + { + "epoch": 0.51, + "grad_norm": 1.5810520895784332, + "learning_rate": 1.0161757649832836e-05, + "loss": 0.9116, + "step": 21648 + }, + { + "epoch": 0.51, + "grad_norm": 0.8021610084143809, + "learning_rate": 1.0160994708135775e-05, + "loss": 0.7082, + "step": 21649 + }, + { + "epoch": 0.51, + "grad_norm": 1.5227524244249826, + "learning_rate": 1.0160231765501345e-05, + "loss": 0.7879, + "step": 21650 + }, + { + "epoch": 0.51, + "grad_norm": 1.3063866371292663, + "learning_rate": 1.0159468821934001e-05, + "loss": 0.7996, + "step": 21651 + }, + { + "epoch": 0.51, + "grad_norm": 1.5925752066840357, + "learning_rate": 1.0158705877438178e-05, + "loss": 0.8877, + "step": 21652 + }, + { + "epoch": 0.51, + "grad_norm": 1.7545124379493922, + "learning_rate": 1.0157942932018317e-05, + "loss": 0.8531, + "step": 21653 + }, + { + "epoch": 0.51, + "grad_norm": 1.5677549794724108, + "learning_rate": 1.0157179985678862e-05, + "loss": 0.8646, + "step": 21654 + }, + { + "epoch": 0.51, + "grad_norm": 1.4406240348311024, + "learning_rate": 1.0156417038424259e-05, + "loss": 0.9527, + "step": 21655 + }, + { + "epoch": 0.51, + "grad_norm": 1.6243112412508014, + "learning_rate": 1.0155654090258942e-05, + "loss": 0.8997, + "step": 21656 + }, + { + "epoch": 0.51, + "grad_norm": 1.555370494684097, + "learning_rate": 1.015489114118736e-05, + "loss": 0.8202, + "step": 21657 + }, + { + "epoch": 0.51, + "grad_norm": 1.8855514440084518, + "learning_rate": 1.0154128191213952e-05, + "loss": 0.7912, + "step": 21658 + }, + { + "epoch": 0.51, + "grad_norm": 1.715885517436341, + "learning_rate": 1.015336524034316e-05, + "loss": 0.9279, + "step": 21659 + }, + { + "epoch": 0.51, + "grad_norm": 1.8927764453278266, + "learning_rate": 1.015260228857943e-05, + "loss": 0.8758, + "step": 21660 + }, + { + "epoch": 0.51, + "grad_norm": 1.4500917990584394, + "learning_rate": 1.0151839335927199e-05, + "loss": 0.917, + "step": 21661 + }, + { + "epoch": 0.51, + "grad_norm": 1.5363757212130937, + "learning_rate": 1.015107638239091e-05, + "loss": 0.7894, + "step": 21662 + }, + { + "epoch": 0.51, + "grad_norm": 1.9092921069040125, + "learning_rate": 1.015031342797501e-05, + "loss": 0.9584, + "step": 21663 + }, + { + "epoch": 0.51, + "grad_norm": 1.6839008315041464, + "learning_rate": 1.0149550472683933e-05, + "loss": 0.939, + "step": 21664 + }, + { + "epoch": 0.51, + "grad_norm": 1.547552985017612, + "learning_rate": 1.0148787516522129e-05, + "loss": 0.9565, + "step": 21665 + }, + { + "epoch": 0.51, + "grad_norm": 1.4843646671851558, + "learning_rate": 1.0148024559494038e-05, + "loss": 0.8492, + "step": 21666 + }, + { + "epoch": 0.51, + "grad_norm": 1.6496561227037025, + "learning_rate": 1.0147261601604099e-05, + "loss": 0.8913, + "step": 21667 + }, + { + "epoch": 0.51, + "grad_norm": 1.6328737096323347, + "learning_rate": 1.014649864285676e-05, + "loss": 0.8954, + "step": 21668 + }, + { + "epoch": 0.51, + "grad_norm": 1.6556178967258475, + "learning_rate": 1.0145735683256453e-05, + "loss": 0.8791, + "step": 21669 + }, + { + "epoch": 0.51, + "grad_norm": 1.7733087667233816, + "learning_rate": 1.0144972722807633e-05, + "loss": 0.7892, + "step": 21670 + }, + { + "epoch": 0.51, + "grad_norm": 2.0346558742922416, + "learning_rate": 1.0144209761514729e-05, + "loss": 0.8733, + "step": 21671 + }, + { + "epoch": 0.51, + "grad_norm": 1.6568243361590183, + "learning_rate": 1.0143446799382197e-05, + "loss": 0.7482, + "step": 21672 + }, + { + "epoch": 0.51, + "grad_norm": 1.9511477504526147, + "learning_rate": 1.0142683836414472e-05, + "loss": 0.8844, + "step": 21673 + }, + { + "epoch": 0.51, + "grad_norm": 1.658612068289357, + "learning_rate": 1.0141920872615992e-05, + "loss": 0.8525, + "step": 21674 + }, + { + "epoch": 0.51, + "grad_norm": 1.6800034296590685, + "learning_rate": 1.0141157907991206e-05, + "loss": 0.8634, + "step": 21675 + }, + { + "epoch": 0.51, + "grad_norm": 1.6905749596941317, + "learning_rate": 1.0140394942544554e-05, + "loss": 0.8498, + "step": 21676 + }, + { + "epoch": 0.51, + "grad_norm": 1.5959173900786414, + "learning_rate": 1.0139631976280477e-05, + "loss": 0.8495, + "step": 21677 + }, + { + "epoch": 0.51, + "grad_norm": 1.5672394712953621, + "learning_rate": 1.013886900920342e-05, + "loss": 0.7766, + "step": 21678 + }, + { + "epoch": 0.51, + "grad_norm": 0.7623162968883406, + "learning_rate": 1.0138106041317823e-05, + "loss": 0.7297, + "step": 21679 + }, + { + "epoch": 0.51, + "grad_norm": 1.5327537984886386, + "learning_rate": 1.013734307262813e-05, + "loss": 0.7205, + "step": 21680 + }, + { + "epoch": 0.51, + "grad_norm": 1.7199180819859516, + "learning_rate": 1.013658010313878e-05, + "loss": 0.785, + "step": 21681 + }, + { + "epoch": 0.51, + "grad_norm": 1.5817331611640872, + "learning_rate": 1.0135817132854218e-05, + "loss": 0.8174, + "step": 21682 + }, + { + "epoch": 0.51, + "grad_norm": 1.540686466369039, + "learning_rate": 1.0135054161778886e-05, + "loss": 0.8095, + "step": 21683 + }, + { + "epoch": 0.51, + "grad_norm": 1.5852257918200554, + "learning_rate": 1.0134291189917227e-05, + "loss": 0.8664, + "step": 21684 + }, + { + "epoch": 0.51, + "grad_norm": 1.5151284353144738, + "learning_rate": 1.013352821727368e-05, + "loss": 0.914, + "step": 21685 + }, + { + "epoch": 0.51, + "grad_norm": 1.7065931392970657, + "learning_rate": 1.0132765243852691e-05, + "loss": 0.9358, + "step": 21686 + }, + { + "epoch": 0.51, + "grad_norm": 1.40069716902002, + "learning_rate": 1.0132002269658703e-05, + "loss": 0.8845, + "step": 21687 + }, + { + "epoch": 0.51, + "grad_norm": 1.6880514506981592, + "learning_rate": 1.0131239294696151e-05, + "loss": 0.9211, + "step": 21688 + }, + { + "epoch": 0.51, + "grad_norm": 1.8177303629530843, + "learning_rate": 1.0130476318969487e-05, + "loss": 0.8847, + "step": 21689 + }, + { + "epoch": 0.51, + "grad_norm": 0.784210491659116, + "learning_rate": 1.0129713342483145e-05, + "loss": 0.7382, + "step": 21690 + }, + { + "epoch": 0.51, + "grad_norm": 1.5223205766197725, + "learning_rate": 1.0128950365241575e-05, + "loss": 0.9044, + "step": 21691 + }, + { + "epoch": 0.51, + "grad_norm": 1.5569642030837545, + "learning_rate": 1.0128187387249208e-05, + "loss": 0.8037, + "step": 21692 + }, + { + "epoch": 0.51, + "grad_norm": 1.8167458927307505, + "learning_rate": 1.01274244085105e-05, + "loss": 0.884, + "step": 21693 + }, + { + "epoch": 0.51, + "grad_norm": 1.5563956662718175, + "learning_rate": 1.0126661429029885e-05, + "loss": 0.8436, + "step": 21694 + }, + { + "epoch": 0.51, + "grad_norm": 1.6052993875208752, + "learning_rate": 1.0125898448811803e-05, + "loss": 0.7322, + "step": 21695 + }, + { + "epoch": 0.51, + "grad_norm": 1.6618695803683938, + "learning_rate": 1.0125135467860706e-05, + "loss": 0.9423, + "step": 21696 + }, + { + "epoch": 0.51, + "grad_norm": 1.926165509527701, + "learning_rate": 1.0124372486181027e-05, + "loss": 0.7901, + "step": 21697 + }, + { + "epoch": 0.51, + "grad_norm": 1.6598299262026386, + "learning_rate": 1.0123609503777216e-05, + "loss": 0.8855, + "step": 21698 + }, + { + "epoch": 0.51, + "grad_norm": 1.6800289488470344, + "learning_rate": 1.0122846520653707e-05, + "loss": 0.8435, + "step": 21699 + }, + { + "epoch": 0.51, + "grad_norm": 1.6757273796996845, + "learning_rate": 1.0122083536814951e-05, + "loss": 0.8617, + "step": 21700 + }, + { + "epoch": 0.51, + "grad_norm": 1.7876820262698934, + "learning_rate": 1.0121320552265384e-05, + "loss": 0.9534, + "step": 21701 + }, + { + "epoch": 0.51, + "grad_norm": 1.58250485828763, + "learning_rate": 1.0120557567009449e-05, + "loss": 0.9271, + "step": 21702 + }, + { + "epoch": 0.51, + "grad_norm": 1.610954953894264, + "learning_rate": 1.011979458105159e-05, + "loss": 0.9494, + "step": 21703 + }, + { + "epoch": 0.51, + "grad_norm": 1.5393651442183465, + "learning_rate": 1.0119031594396249e-05, + "loss": 0.8587, + "step": 21704 + }, + { + "epoch": 0.51, + "grad_norm": 1.579210481016133, + "learning_rate": 1.011826860704787e-05, + "loss": 0.7979, + "step": 21705 + }, + { + "epoch": 0.51, + "grad_norm": 2.350445873196079, + "learning_rate": 1.0117505619010891e-05, + "loss": 0.8755, + "step": 21706 + }, + { + "epoch": 0.51, + "grad_norm": 1.3976548301001963, + "learning_rate": 1.011674263028976e-05, + "loss": 0.8586, + "step": 21707 + }, + { + "epoch": 0.51, + "grad_norm": 1.6114047699638878, + "learning_rate": 1.0115979640888916e-05, + "loss": 0.8138, + "step": 21708 + }, + { + "epoch": 0.51, + "grad_norm": 0.8914011920940401, + "learning_rate": 1.01152166508128e-05, + "loss": 0.7674, + "step": 21709 + }, + { + "epoch": 0.51, + "grad_norm": 2.236822080016877, + "learning_rate": 1.0114453660065856e-05, + "loss": 0.8812, + "step": 21710 + }, + { + "epoch": 0.51, + "grad_norm": 1.4338878050788464, + "learning_rate": 1.0113690668652529e-05, + "loss": 0.7779, + "step": 21711 + }, + { + "epoch": 0.51, + "grad_norm": 1.4885034131734352, + "learning_rate": 1.0112927676577258e-05, + "loss": 0.99, + "step": 21712 + }, + { + "epoch": 0.51, + "grad_norm": 1.542536453684377, + "learning_rate": 1.0112164683844487e-05, + "loss": 0.8848, + "step": 21713 + }, + { + "epoch": 0.51, + "grad_norm": 0.7322208902248242, + "learning_rate": 1.0111401690458655e-05, + "loss": 0.7907, + "step": 21714 + }, + { + "epoch": 0.51, + "grad_norm": 1.7322043432634273, + "learning_rate": 1.0110638696424211e-05, + "loss": 0.871, + "step": 21715 + }, + { + "epoch": 0.51, + "grad_norm": 1.5675275013889032, + "learning_rate": 1.010987570174559e-05, + "loss": 0.7863, + "step": 21716 + }, + { + "epoch": 0.51, + "grad_norm": 1.813166492465954, + "learning_rate": 1.0109112706427242e-05, + "loss": 0.7144, + "step": 21717 + }, + { + "epoch": 0.51, + "grad_norm": 1.537892911659265, + "learning_rate": 1.01083497104736e-05, + "loss": 0.9606, + "step": 21718 + }, + { + "epoch": 0.51, + "grad_norm": 2.2225421509621004, + "learning_rate": 1.0107586713889117e-05, + "loss": 0.9453, + "step": 21719 + }, + { + "epoch": 0.51, + "grad_norm": 1.579763046309954, + "learning_rate": 1.0106823716678225e-05, + "loss": 0.9085, + "step": 21720 + }, + { + "epoch": 0.51, + "grad_norm": 1.8546004200049215, + "learning_rate": 1.0106060718845377e-05, + "loss": 0.8663, + "step": 21721 + }, + { + "epoch": 0.51, + "grad_norm": 5.5878834205000665, + "learning_rate": 1.0105297720395003e-05, + "loss": 0.8019, + "step": 21722 + }, + { + "epoch": 0.51, + "grad_norm": 1.5595192768767228, + "learning_rate": 1.0104534721331558e-05, + "loss": 0.8146, + "step": 21723 + }, + { + "epoch": 0.51, + "grad_norm": 1.593915202912874, + "learning_rate": 1.0103771721659476e-05, + "loss": 0.7759, + "step": 21724 + }, + { + "epoch": 0.51, + "grad_norm": 1.6258932480001105, + "learning_rate": 1.0103008721383202e-05, + "loss": 0.781, + "step": 21725 + }, + { + "epoch": 0.51, + "grad_norm": 1.7716309618273696, + "learning_rate": 1.010224572050718e-05, + "loss": 0.8833, + "step": 21726 + }, + { + "epoch": 0.51, + "grad_norm": 1.6346622340025507, + "learning_rate": 1.0101482719035851e-05, + "loss": 0.9158, + "step": 21727 + }, + { + "epoch": 0.51, + "grad_norm": 1.831175650288649, + "learning_rate": 1.0100719716973657e-05, + "loss": 0.8444, + "step": 21728 + }, + { + "epoch": 0.51, + "grad_norm": 1.6941650000706017, + "learning_rate": 1.009995671432504e-05, + "loss": 0.8179, + "step": 21729 + }, + { + "epoch": 0.51, + "grad_norm": 1.6782499146529988, + "learning_rate": 1.0099193711094446e-05, + "loss": 0.8566, + "step": 21730 + }, + { + "epoch": 0.51, + "grad_norm": 1.7628865445046162, + "learning_rate": 1.0098430707286313e-05, + "loss": 0.8453, + "step": 21731 + }, + { + "epoch": 0.51, + "grad_norm": 0.7669944940862428, + "learning_rate": 1.0097667702905085e-05, + "loss": 0.7218, + "step": 21732 + }, + { + "epoch": 0.51, + "grad_norm": 0.7843190853268022, + "learning_rate": 1.0096904697955205e-05, + "loss": 0.7494, + "step": 21733 + }, + { + "epoch": 0.51, + "grad_norm": 2.0788187016091615, + "learning_rate": 1.0096141692441117e-05, + "loss": 0.8331, + "step": 21734 + }, + { + "epoch": 0.51, + "grad_norm": 2.137343615021249, + "learning_rate": 1.0095378686367258e-05, + "loss": 0.9137, + "step": 21735 + }, + { + "epoch": 0.51, + "grad_norm": 1.6847098533049847, + "learning_rate": 1.0094615679738078e-05, + "loss": 0.7685, + "step": 21736 + }, + { + "epoch": 0.51, + "grad_norm": 1.5989947072709179, + "learning_rate": 1.0093852672558013e-05, + "loss": 0.8255, + "step": 21737 + }, + { + "epoch": 0.51, + "grad_norm": 1.7678767018299555, + "learning_rate": 1.009308966483151e-05, + "loss": 0.8011, + "step": 21738 + }, + { + "epoch": 0.51, + "grad_norm": 1.5529234965741285, + "learning_rate": 1.0092326656563006e-05, + "loss": 0.8079, + "step": 21739 + }, + { + "epoch": 0.51, + "grad_norm": 1.5257411050561631, + "learning_rate": 1.0091563647756953e-05, + "loss": 0.9002, + "step": 21740 + }, + { + "epoch": 0.51, + "grad_norm": 1.596850154027534, + "learning_rate": 1.0090800638417779e-05, + "loss": 0.832, + "step": 21741 + }, + { + "epoch": 0.51, + "grad_norm": 1.5373159757127182, + "learning_rate": 1.0090037628549943e-05, + "loss": 0.8846, + "step": 21742 + }, + { + "epoch": 0.51, + "grad_norm": 1.6656245767244948, + "learning_rate": 1.0089274618157874e-05, + "loss": 0.8623, + "step": 21743 + }, + { + "epoch": 0.51, + "grad_norm": 1.596445095475899, + "learning_rate": 1.0088511607246021e-05, + "loss": 0.865, + "step": 21744 + }, + { + "epoch": 0.51, + "grad_norm": 1.7256657738484937, + "learning_rate": 1.008774859581883e-05, + "loss": 0.8462, + "step": 21745 + }, + { + "epoch": 0.51, + "grad_norm": 1.7292496241968003, + "learning_rate": 1.0086985583880731e-05, + "loss": 0.9061, + "step": 21746 + }, + { + "epoch": 0.51, + "grad_norm": 1.4734976856559265, + "learning_rate": 1.0086222571436182e-05, + "loss": 0.7635, + "step": 21747 + }, + { + "epoch": 0.51, + "grad_norm": 0.7222105935583225, + "learning_rate": 1.0085459558489612e-05, + "loss": 0.7363, + "step": 21748 + }, + { + "epoch": 0.51, + "grad_norm": 1.6781120883327942, + "learning_rate": 1.0084696545045474e-05, + "loss": 0.9811, + "step": 21749 + }, + { + "epoch": 0.51, + "grad_norm": 1.5393815848962886, + "learning_rate": 1.0083933531108202e-05, + "loss": 0.7449, + "step": 21750 + }, + { + "epoch": 0.51, + "grad_norm": 0.7587807473188257, + "learning_rate": 1.0083170516682244e-05, + "loss": 0.7058, + "step": 21751 + }, + { + "epoch": 0.51, + "grad_norm": 1.6817775518895424, + "learning_rate": 1.0082407501772043e-05, + "loss": 0.9068, + "step": 21752 + }, + { + "epoch": 0.51, + "grad_norm": 1.901527089063246, + "learning_rate": 1.0081644486382036e-05, + "loss": 0.9871, + "step": 21753 + }, + { + "epoch": 0.51, + "grad_norm": 1.6590163167900567, + "learning_rate": 1.008088147051667e-05, + "loss": 1.0329, + "step": 21754 + }, + { + "epoch": 0.51, + "grad_norm": 1.590897991866097, + "learning_rate": 1.0080118454180387e-05, + "loss": 0.9564, + "step": 21755 + }, + { + "epoch": 0.51, + "grad_norm": 1.7053959390779434, + "learning_rate": 1.007935543737763e-05, + "loss": 0.8615, + "step": 21756 + }, + { + "epoch": 0.51, + "grad_norm": 0.7593010173684037, + "learning_rate": 1.0078592420112838e-05, + "loss": 0.7266, + "step": 21757 + }, + { + "epoch": 0.51, + "grad_norm": 0.75425009650721, + "learning_rate": 1.0077829402390458e-05, + "loss": 0.7238, + "step": 21758 + }, + { + "epoch": 0.51, + "grad_norm": 1.851345428253561, + "learning_rate": 1.007706638421493e-05, + "loss": 0.7982, + "step": 21759 + }, + { + "epoch": 0.51, + "grad_norm": 0.7773949427886483, + "learning_rate": 1.0076303365590696e-05, + "loss": 0.7213, + "step": 21760 + }, + { + "epoch": 0.51, + "grad_norm": 1.6187261027904065, + "learning_rate": 1.0075540346522202e-05, + "loss": 0.9344, + "step": 21761 + }, + { + "epoch": 0.51, + "grad_norm": 1.658731304789479, + "learning_rate": 1.0074777327013887e-05, + "loss": 0.8036, + "step": 21762 + }, + { + "epoch": 0.51, + "grad_norm": 2.121214839389335, + "learning_rate": 1.0074014307070194e-05, + "loss": 0.7632, + "step": 21763 + }, + { + "epoch": 0.51, + "grad_norm": 1.718138699692215, + "learning_rate": 1.0073251286695567e-05, + "loss": 0.9253, + "step": 21764 + }, + { + "epoch": 0.51, + "grad_norm": 1.6206221359655255, + "learning_rate": 1.007248826589445e-05, + "loss": 1.0125, + "step": 21765 + }, + { + "epoch": 0.51, + "grad_norm": 1.6708977433374046, + "learning_rate": 1.0071725244671281e-05, + "loss": 0.9308, + "step": 21766 + }, + { + "epoch": 0.51, + "grad_norm": 1.7949802098443135, + "learning_rate": 1.0070962223030502e-05, + "loss": 0.9062, + "step": 21767 + }, + { + "epoch": 0.51, + "grad_norm": 1.766558891352242, + "learning_rate": 1.0070199200976564e-05, + "loss": 0.9796, + "step": 21768 + }, + { + "epoch": 0.51, + "grad_norm": 1.852078604027192, + "learning_rate": 1.00694361785139e-05, + "loss": 0.8459, + "step": 21769 + }, + { + "epoch": 0.51, + "grad_norm": 2.1924244473296364, + "learning_rate": 1.006867315564696e-05, + "loss": 0.8698, + "step": 21770 + }, + { + "epoch": 0.51, + "grad_norm": 2.108111054562879, + "learning_rate": 1.0067910132380179e-05, + "loss": 0.8652, + "step": 21771 + }, + { + "epoch": 0.51, + "grad_norm": 2.651073491914873, + "learning_rate": 1.006714710871801e-05, + "loss": 1.0019, + "step": 21772 + }, + { + "epoch": 0.51, + "grad_norm": 3.193436485263264, + "learning_rate": 1.0066384084664882e-05, + "loss": 0.8198, + "step": 21773 + }, + { + "epoch": 0.51, + "grad_norm": 1.8912492088125858, + "learning_rate": 1.006562106022525e-05, + "loss": 0.8816, + "step": 21774 + }, + { + "epoch": 0.51, + "grad_norm": 1.7479321113133734, + "learning_rate": 1.0064858035403549e-05, + "loss": 0.7277, + "step": 21775 + }, + { + "epoch": 0.51, + "grad_norm": 1.6961232973491949, + "learning_rate": 1.0064095010204225e-05, + "loss": 0.8943, + "step": 21776 + }, + { + "epoch": 0.51, + "grad_norm": 0.7499542466650491, + "learning_rate": 1.0063331984631719e-05, + "loss": 0.7382, + "step": 21777 + }, + { + "epoch": 0.51, + "grad_norm": 1.9362450185573863, + "learning_rate": 1.0062568958690475e-05, + "loss": 0.8422, + "step": 21778 + }, + { + "epoch": 0.51, + "grad_norm": 7.736913145981142, + "learning_rate": 1.0061805932384933e-05, + "loss": 0.8119, + "step": 21779 + }, + { + "epoch": 0.51, + "grad_norm": 0.7608961538815564, + "learning_rate": 1.0061042905719538e-05, + "loss": 0.6772, + "step": 21780 + }, + { + "epoch": 0.51, + "grad_norm": 1.605728486865367, + "learning_rate": 1.0060279878698734e-05, + "loss": 0.875, + "step": 21781 + }, + { + "epoch": 0.51, + "grad_norm": 1.6305286606807912, + "learning_rate": 1.0059516851326958e-05, + "loss": 0.9168, + "step": 21782 + }, + { + "epoch": 0.51, + "grad_norm": 1.949427816159664, + "learning_rate": 1.0058753823608658e-05, + "loss": 0.8802, + "step": 21783 + }, + { + "epoch": 0.51, + "grad_norm": 2.26464810873628, + "learning_rate": 1.0057990795548274e-05, + "loss": 0.9785, + "step": 21784 + }, + { + "epoch": 0.51, + "grad_norm": 1.777579337481158, + "learning_rate": 1.0057227767150249e-05, + "loss": 0.7773, + "step": 21785 + }, + { + "epoch": 0.51, + "grad_norm": 1.5753159819341414, + "learning_rate": 1.0056464738419028e-05, + "loss": 0.91, + "step": 21786 + }, + { + "epoch": 0.51, + "grad_norm": 2.7126100193590084, + "learning_rate": 1.005570170935905e-05, + "loss": 0.8184, + "step": 21787 + }, + { + "epoch": 0.51, + "grad_norm": 1.8334972502226046, + "learning_rate": 1.0054938679974757e-05, + "loss": 0.7947, + "step": 21788 + }, + { + "epoch": 0.51, + "grad_norm": 2.0472298602425893, + "learning_rate": 1.0054175650270596e-05, + "loss": 0.8961, + "step": 21789 + }, + { + "epoch": 0.51, + "grad_norm": 1.5344566035013676, + "learning_rate": 1.0053412620251006e-05, + "loss": 0.9764, + "step": 21790 + }, + { + "epoch": 0.51, + "grad_norm": 2.2941600883285624, + "learning_rate": 1.0052649589920433e-05, + "loss": 0.8339, + "step": 21791 + }, + { + "epoch": 0.51, + "grad_norm": 1.5744435876224088, + "learning_rate": 1.0051886559283315e-05, + "loss": 0.9815, + "step": 21792 + }, + { + "epoch": 0.51, + "grad_norm": 2.281913005684803, + "learning_rate": 1.0051123528344096e-05, + "loss": 0.8092, + "step": 21793 + }, + { + "epoch": 0.51, + "grad_norm": 1.5775186600745177, + "learning_rate": 1.0050360497107221e-05, + "loss": 0.8729, + "step": 21794 + }, + { + "epoch": 0.51, + "grad_norm": 1.5482403832790588, + "learning_rate": 1.0049597465577133e-05, + "loss": 1.0401, + "step": 21795 + }, + { + "epoch": 0.51, + "grad_norm": 1.8232370285143549, + "learning_rate": 1.0048834433758275e-05, + "loss": 0.8422, + "step": 21796 + }, + { + "epoch": 0.51, + "grad_norm": 3.808783900377266, + "learning_rate": 1.004807140165508e-05, + "loss": 0.7691, + "step": 21797 + }, + { + "epoch": 0.51, + "grad_norm": 1.8499848372946415, + "learning_rate": 1.0047308369272004e-05, + "loss": 0.8414, + "step": 21798 + }, + { + "epoch": 0.51, + "grad_norm": 1.6849402746524853, + "learning_rate": 1.0046545336613481e-05, + "loss": 0.9689, + "step": 21799 + }, + { + "epoch": 0.51, + "grad_norm": 1.7998665646118328, + "learning_rate": 1.0045782303683958e-05, + "loss": 0.814, + "step": 21800 + }, + { + "epoch": 0.51, + "grad_norm": 1.6693887119126067, + "learning_rate": 1.0045019270487873e-05, + "loss": 0.8979, + "step": 21801 + }, + { + "epoch": 0.51, + "grad_norm": 2.6255818573671297, + "learning_rate": 1.0044256237029674e-05, + "loss": 0.7536, + "step": 21802 + }, + { + "epoch": 0.51, + "grad_norm": 1.7285606705223158, + "learning_rate": 1.0043493203313803e-05, + "loss": 0.7962, + "step": 21803 + }, + { + "epoch": 0.51, + "grad_norm": 1.922678726599728, + "learning_rate": 1.0042730169344698e-05, + "loss": 0.8154, + "step": 21804 + }, + { + "epoch": 0.51, + "grad_norm": 1.6906108882185031, + "learning_rate": 1.0041967135126805e-05, + "loss": 0.8784, + "step": 21805 + }, + { + "epoch": 0.51, + "grad_norm": 1.5737639380942945, + "learning_rate": 1.0041204100664566e-05, + "loss": 0.8456, + "step": 21806 + }, + { + "epoch": 0.51, + "grad_norm": 1.7670388388796225, + "learning_rate": 1.0040441065962423e-05, + "loss": 0.8648, + "step": 21807 + }, + { + "epoch": 0.51, + "grad_norm": 1.9539877308747915, + "learning_rate": 1.0039678031024819e-05, + "loss": 0.8621, + "step": 21808 + }, + { + "epoch": 0.51, + "grad_norm": 1.7055497912506261, + "learning_rate": 1.0038914995856199e-05, + "loss": 0.8614, + "step": 21809 + }, + { + "epoch": 0.51, + "grad_norm": 1.6394809749350212, + "learning_rate": 1.0038151960461002e-05, + "loss": 0.8841, + "step": 21810 + }, + { + "epoch": 0.51, + "grad_norm": 1.530547618989492, + "learning_rate": 1.0037388924843674e-05, + "loss": 0.8737, + "step": 21811 + }, + { + "epoch": 0.51, + "grad_norm": 0.7845698555405685, + "learning_rate": 1.0036625889008656e-05, + "loss": 0.7116, + "step": 21812 + }, + { + "epoch": 0.51, + "grad_norm": 1.9658797931271197, + "learning_rate": 1.0035862852960388e-05, + "loss": 0.8384, + "step": 21813 + }, + { + "epoch": 0.51, + "grad_norm": 0.7890013684582335, + "learning_rate": 1.0035099816703315e-05, + "loss": 0.7334, + "step": 21814 + }, + { + "epoch": 0.51, + "grad_norm": 1.630734759787147, + "learning_rate": 1.0034336780241882e-05, + "loss": 0.8633, + "step": 21815 + }, + { + "epoch": 0.51, + "grad_norm": 1.5594709359438172, + "learning_rate": 1.0033573743580527e-05, + "loss": 0.8601, + "step": 21816 + }, + { + "epoch": 0.51, + "grad_norm": 1.6167305851245062, + "learning_rate": 1.0032810706723699e-05, + "loss": 0.9321, + "step": 21817 + }, + { + "epoch": 0.51, + "grad_norm": 1.7791542171445287, + "learning_rate": 1.0032047669675832e-05, + "loss": 0.8993, + "step": 21818 + }, + { + "epoch": 0.51, + "grad_norm": 1.4449641352586964, + "learning_rate": 1.0031284632441378e-05, + "loss": 0.8653, + "step": 21819 + }, + { + "epoch": 0.51, + "grad_norm": 1.4957924190307919, + "learning_rate": 1.003052159502477e-05, + "loss": 0.9914, + "step": 21820 + }, + { + "epoch": 0.51, + "grad_norm": 0.7794323454790072, + "learning_rate": 1.002975855743046e-05, + "loss": 0.7235, + "step": 21821 + }, + { + "epoch": 0.51, + "grad_norm": 2.5570593820807273, + "learning_rate": 1.0028995519662883e-05, + "loss": 0.7365, + "step": 21822 + }, + { + "epoch": 0.51, + "grad_norm": 1.4498157566047687, + "learning_rate": 1.0028232481726488e-05, + "loss": 0.8379, + "step": 21823 + }, + { + "epoch": 0.51, + "grad_norm": 1.9295837045275832, + "learning_rate": 1.0027469443625712e-05, + "loss": 0.9494, + "step": 21824 + }, + { + "epoch": 0.51, + "grad_norm": 1.6787532515488337, + "learning_rate": 1.0026706405365001e-05, + "loss": 0.9859, + "step": 21825 + }, + { + "epoch": 0.51, + "grad_norm": 1.5203320587363625, + "learning_rate": 1.0025943366948795e-05, + "loss": 0.9018, + "step": 21826 + }, + { + "epoch": 0.51, + "grad_norm": 1.4898091720238227, + "learning_rate": 1.002518032838154e-05, + "loss": 0.8834, + "step": 21827 + }, + { + "epoch": 0.51, + "grad_norm": 2.6935764564606144, + "learning_rate": 1.0024417289667678e-05, + "loss": 0.8507, + "step": 21828 + }, + { + "epoch": 0.51, + "grad_norm": 2.2056327492333136, + "learning_rate": 1.0023654250811652e-05, + "loss": 0.7081, + "step": 21829 + }, + { + "epoch": 0.51, + "grad_norm": 1.441203656737497, + "learning_rate": 1.00228912118179e-05, + "loss": 0.849, + "step": 21830 + }, + { + "epoch": 0.51, + "grad_norm": 1.5992982972584333, + "learning_rate": 1.0022128172690868e-05, + "loss": 0.704, + "step": 21831 + }, + { + "epoch": 0.51, + "grad_norm": 1.6326369149537814, + "learning_rate": 1.0021365133435004e-05, + "loss": 0.8907, + "step": 21832 + }, + { + "epoch": 0.51, + "grad_norm": 2.1052639786800373, + "learning_rate": 1.002060209405474e-05, + "loss": 0.7764, + "step": 21833 + }, + { + "epoch": 0.51, + "grad_norm": 0.7573712182633134, + "learning_rate": 1.0019839054554528e-05, + "loss": 0.7584, + "step": 21834 + }, + { + "epoch": 0.51, + "grad_norm": 1.6095138422895359, + "learning_rate": 1.0019076014938805e-05, + "loss": 0.8506, + "step": 21835 + }, + { + "epoch": 0.51, + "grad_norm": 1.5020057101804312, + "learning_rate": 1.0018312975212015e-05, + "loss": 0.8805, + "step": 21836 + }, + { + "epoch": 0.51, + "grad_norm": 1.6553573845925849, + "learning_rate": 1.0017549935378601e-05, + "loss": 0.9134, + "step": 21837 + }, + { + "epoch": 0.51, + "grad_norm": 1.764816527127129, + "learning_rate": 1.0016786895443005e-05, + "loss": 0.9422, + "step": 21838 + }, + { + "epoch": 0.51, + "grad_norm": 1.5013347679099678, + "learning_rate": 1.0016023855409671e-05, + "loss": 0.7389, + "step": 21839 + }, + { + "epoch": 0.51, + "grad_norm": 1.748751095520832, + "learning_rate": 1.0015260815283043e-05, + "loss": 0.9049, + "step": 21840 + }, + { + "epoch": 0.51, + "grad_norm": 1.791803716927055, + "learning_rate": 1.001449777506756e-05, + "loss": 0.8613, + "step": 21841 + }, + { + "epoch": 0.51, + "grad_norm": 1.7781686448286624, + "learning_rate": 1.0013734734767666e-05, + "loss": 0.8732, + "step": 21842 + }, + { + "epoch": 0.51, + "grad_norm": 1.4174115259759528, + "learning_rate": 1.0012971694387803e-05, + "loss": 0.9606, + "step": 21843 + }, + { + "epoch": 0.51, + "grad_norm": 1.8442479738834707, + "learning_rate": 1.0012208653932416e-05, + "loss": 0.8811, + "step": 21844 + }, + { + "epoch": 0.51, + "grad_norm": 1.6335906198880137, + "learning_rate": 1.0011445613405948e-05, + "loss": 0.8626, + "step": 21845 + }, + { + "epoch": 0.51, + "grad_norm": 2.4062482793627855, + "learning_rate": 1.0010682572812837e-05, + "loss": 0.7996, + "step": 21846 + }, + { + "epoch": 0.51, + "grad_norm": 1.6099087509611558, + "learning_rate": 1.0009919532157532e-05, + "loss": 0.8674, + "step": 21847 + }, + { + "epoch": 0.51, + "grad_norm": 1.7039257337485387, + "learning_rate": 1.000915649144447e-05, + "loss": 0.886, + "step": 21848 + }, + { + "epoch": 0.51, + "grad_norm": 1.7419189839873086, + "learning_rate": 1.0008393450678098e-05, + "loss": 0.8859, + "step": 21849 + }, + { + "epoch": 0.51, + "grad_norm": 0.7580012592642668, + "learning_rate": 1.0007630409862854e-05, + "loss": 0.7109, + "step": 21850 + }, + { + "epoch": 0.51, + "grad_norm": 1.5572650844419051, + "learning_rate": 1.0006867369003185e-05, + "loss": 0.8609, + "step": 21851 + }, + { + "epoch": 0.51, + "grad_norm": 1.5828474332804612, + "learning_rate": 1.000610432810353e-05, + "loss": 0.7923, + "step": 21852 + }, + { + "epoch": 0.51, + "grad_norm": 0.7314536624343991, + "learning_rate": 1.0005341287168338e-05, + "loss": 0.6932, + "step": 21853 + }, + { + "epoch": 0.51, + "grad_norm": 0.7964989358285222, + "learning_rate": 1.0004578246202046e-05, + "loss": 0.7617, + "step": 21854 + }, + { + "epoch": 0.51, + "grad_norm": 1.6279888061176353, + "learning_rate": 1.0003815205209095e-05, + "loss": 0.7848, + "step": 21855 + }, + { + "epoch": 0.51, + "grad_norm": 1.466236948784687, + "learning_rate": 1.0003052164193931e-05, + "loss": 0.7552, + "step": 21856 + }, + { + "epoch": 0.51, + "grad_norm": 1.7339437494027274, + "learning_rate": 1.0002289123161e-05, + "loss": 0.9579, + "step": 21857 + }, + { + "epoch": 0.51, + "grad_norm": 1.7558462003184712, + "learning_rate": 1.0001526082114738e-05, + "loss": 0.9102, + "step": 21858 + }, + { + "epoch": 0.51, + "grad_norm": 1.6792633319667494, + "learning_rate": 1.0000763041059591e-05, + "loss": 0.8976, + "step": 21859 + }, + { + "epoch": 0.52, + "grad_norm": 0.6912426794420096, + "learning_rate": 1e-05, + "loss": 0.6901, + "step": 21860 + }, + { + "epoch": 0.52, + "grad_norm": 1.6289823385904734, + "learning_rate": 9.999236958940412e-06, + "loss": 0.9506, + "step": 21861 + }, + { + "epoch": 0.52, + "grad_norm": 1.7832673823824348, + "learning_rate": 9.998473917885268e-06, + "loss": 0.9365, + "step": 21862 + }, + { + "epoch": 0.52, + "grad_norm": 1.7159338062691045, + "learning_rate": 9.997710876839005e-06, + "loss": 0.9735, + "step": 21863 + }, + { + "epoch": 0.52, + "grad_norm": 1.784124646704149, + "learning_rate": 9.99694783580607e-06, + "loss": 0.8221, + "step": 21864 + }, + { + "epoch": 0.52, + "grad_norm": 1.558833509000656, + "learning_rate": 9.996184794790907e-06, + "loss": 0.8213, + "step": 21865 + }, + { + "epoch": 0.52, + "grad_norm": 1.7144568215935145, + "learning_rate": 9.99542175379796e-06, + "loss": 0.8551, + "step": 21866 + }, + { + "epoch": 0.52, + "grad_norm": 1.6407908414356676, + "learning_rate": 9.994658712831666e-06, + "loss": 0.8259, + "step": 21867 + }, + { + "epoch": 0.52, + "grad_norm": 1.6380666130683892, + "learning_rate": 9.99389567189647e-06, + "loss": 0.8956, + "step": 21868 + }, + { + "epoch": 0.52, + "grad_norm": 1.4495572933367453, + "learning_rate": 9.99313263099682e-06, + "loss": 0.9071, + "step": 21869 + }, + { + "epoch": 0.52, + "grad_norm": 1.5928836290818584, + "learning_rate": 9.99236959013715e-06, + "loss": 0.9531, + "step": 21870 + }, + { + "epoch": 0.52, + "grad_norm": 1.607686455498206, + "learning_rate": 9.991606549321904e-06, + "loss": 0.909, + "step": 21871 + }, + { + "epoch": 0.52, + "grad_norm": 3.247780003791083, + "learning_rate": 9.99084350855553e-06, + "loss": 0.7271, + "step": 21872 + }, + { + "epoch": 0.52, + "grad_norm": 1.9458352512754966, + "learning_rate": 9.990080467842472e-06, + "loss": 0.8302, + "step": 21873 + }, + { + "epoch": 0.52, + "grad_norm": 1.7019620566005698, + "learning_rate": 9.989317427187165e-06, + "loss": 1.0026, + "step": 21874 + }, + { + "epoch": 0.52, + "grad_norm": 2.4625948300120206, + "learning_rate": 9.988554386594052e-06, + "loss": 0.9229, + "step": 21875 + }, + { + "epoch": 0.52, + "grad_norm": 2.1195234644799483, + "learning_rate": 9.987791346067586e-06, + "loss": 0.7989, + "step": 21876 + }, + { + "epoch": 0.52, + "grad_norm": 1.6656150433414298, + "learning_rate": 9.987028305612199e-06, + "loss": 0.9447, + "step": 21877 + }, + { + "epoch": 0.52, + "grad_norm": 2.2189096447598, + "learning_rate": 9.986265265232337e-06, + "loss": 0.9892, + "step": 21878 + }, + { + "epoch": 0.52, + "grad_norm": 1.6732967993899486, + "learning_rate": 9.985502224932442e-06, + "loss": 0.8476, + "step": 21879 + }, + { + "epoch": 0.52, + "grad_norm": 1.7038512478167376, + "learning_rate": 9.98473918471696e-06, + "loss": 0.9297, + "step": 21880 + }, + { + "epoch": 0.52, + "grad_norm": 1.8489013467611564, + "learning_rate": 9.983976144590332e-06, + "loss": 0.8886, + "step": 21881 + }, + { + "epoch": 0.52, + "grad_norm": 1.7375008047603404, + "learning_rate": 9.983213104556995e-06, + "loss": 0.9458, + "step": 21882 + }, + { + "epoch": 0.52, + "grad_norm": 1.4411818355198687, + "learning_rate": 9.982450064621405e-06, + "loss": 0.7104, + "step": 21883 + }, + { + "epoch": 0.52, + "grad_norm": 1.7454345422703956, + "learning_rate": 9.98168702478799e-06, + "loss": 0.8212, + "step": 21884 + }, + { + "epoch": 0.52, + "grad_norm": 1.6262608534312475, + "learning_rate": 9.980923985061199e-06, + "loss": 0.8474, + "step": 21885 + }, + { + "epoch": 0.52, + "grad_norm": 3.4542037290797816, + "learning_rate": 9.980160945445474e-06, + "loss": 0.7691, + "step": 21886 + }, + { + "epoch": 0.52, + "grad_norm": 1.7006578302300717, + "learning_rate": 9.979397905945264e-06, + "loss": 0.8177, + "step": 21887 + }, + { + "epoch": 0.52, + "grad_norm": 1.7318460628314467, + "learning_rate": 9.978634866565e-06, + "loss": 0.8186, + "step": 21888 + }, + { + "epoch": 0.52, + "grad_norm": 2.718048340565004, + "learning_rate": 9.977871827309132e-06, + "loss": 0.7856, + "step": 21889 + }, + { + "epoch": 0.52, + "grad_norm": 1.6828780182420744, + "learning_rate": 9.977108788182104e-06, + "loss": 0.9283, + "step": 21890 + }, + { + "epoch": 0.52, + "grad_norm": 1.6237045943966169, + "learning_rate": 9.976345749188353e-06, + "loss": 0.8771, + "step": 21891 + }, + { + "epoch": 0.52, + "grad_norm": 1.5715435901884978, + "learning_rate": 9.975582710332325e-06, + "loss": 0.8318, + "step": 21892 + }, + { + "epoch": 0.52, + "grad_norm": 1.791019292713136, + "learning_rate": 9.974819671618462e-06, + "loss": 0.7679, + "step": 21893 + }, + { + "epoch": 0.52, + "grad_norm": 2.9275462059168875, + "learning_rate": 9.97405663305121e-06, + "loss": 0.8594, + "step": 21894 + }, + { + "epoch": 0.52, + "grad_norm": 1.815558159691927, + "learning_rate": 9.973293594635002e-06, + "loss": 0.8234, + "step": 21895 + }, + { + "epoch": 0.52, + "grad_norm": 1.514180167478662, + "learning_rate": 9.972530556374291e-06, + "loss": 0.8121, + "step": 21896 + }, + { + "epoch": 0.52, + "grad_norm": 1.6612074154987466, + "learning_rate": 9.971767518273517e-06, + "loss": 0.8582, + "step": 21897 + }, + { + "epoch": 0.52, + "grad_norm": 1.565814430702309, + "learning_rate": 9.97100448033712e-06, + "loss": 0.9489, + "step": 21898 + }, + { + "epoch": 0.52, + "grad_norm": 1.663530238215812, + "learning_rate": 9.970241442569543e-06, + "loss": 0.8314, + "step": 21899 + }, + { + "epoch": 0.52, + "grad_norm": 1.4590657760173766, + "learning_rate": 9.96947840497523e-06, + "loss": 0.8961, + "step": 21900 + }, + { + "epoch": 0.52, + "grad_norm": 1.6814439369995395, + "learning_rate": 9.968715367558627e-06, + "loss": 1.0, + "step": 21901 + }, + { + "epoch": 0.52, + "grad_norm": 1.690052041679457, + "learning_rate": 9.967952330324171e-06, + "loss": 0.9433, + "step": 21902 + }, + { + "epoch": 0.52, + "grad_norm": 1.6441972146350783, + "learning_rate": 9.967189293276303e-06, + "loss": 0.9144, + "step": 21903 + }, + { + "epoch": 0.52, + "grad_norm": 1.7475464041329538, + "learning_rate": 9.966426256419475e-06, + "loss": 0.8645, + "step": 21904 + }, + { + "epoch": 0.52, + "grad_norm": 1.980688288543041, + "learning_rate": 9.965663219758121e-06, + "loss": 0.7757, + "step": 21905 + }, + { + "epoch": 0.52, + "grad_norm": 1.4838565442537337, + "learning_rate": 9.964900183296688e-06, + "loss": 0.8741, + "step": 21906 + }, + { + "epoch": 0.52, + "grad_norm": 2.339099248725121, + "learning_rate": 9.964137147039613e-06, + "loss": 0.935, + "step": 21907 + }, + { + "epoch": 0.52, + "grad_norm": 1.5225834469743749, + "learning_rate": 9.96337411099135e-06, + "loss": 0.822, + "step": 21908 + }, + { + "epoch": 0.52, + "grad_norm": 1.785264481629427, + "learning_rate": 9.962611075156329e-06, + "loss": 0.8698, + "step": 21909 + }, + { + "epoch": 0.52, + "grad_norm": 1.77342937249748, + "learning_rate": 9.961848039539e-06, + "loss": 0.9074, + "step": 21910 + }, + { + "epoch": 0.52, + "grad_norm": 1.7327237299160654, + "learning_rate": 9.961085004143806e-06, + "loss": 0.7222, + "step": 21911 + }, + { + "epoch": 0.52, + "grad_norm": 1.7610942570041959, + "learning_rate": 9.960321968975182e-06, + "loss": 0.7848, + "step": 21912 + }, + { + "epoch": 0.52, + "grad_norm": 0.8008686414867155, + "learning_rate": 9.959558934037578e-06, + "loss": 0.7193, + "step": 21913 + }, + { + "epoch": 0.52, + "grad_norm": 0.8183292708288283, + "learning_rate": 9.958795899335438e-06, + "loss": 0.7584, + "step": 21914 + }, + { + "epoch": 0.52, + "grad_norm": 0.7947993516884089, + "learning_rate": 9.9580328648732e-06, + "loss": 0.7704, + "step": 21915 + }, + { + "epoch": 0.52, + "grad_norm": 1.4780558739752914, + "learning_rate": 9.957269830655305e-06, + "loss": 0.8369, + "step": 21916 + }, + { + "epoch": 0.52, + "grad_norm": 1.7815769941372772, + "learning_rate": 9.9565067966862e-06, + "loss": 0.9169, + "step": 21917 + }, + { + "epoch": 0.52, + "grad_norm": 1.7673122637787124, + "learning_rate": 9.955743762970329e-06, + "loss": 0.7672, + "step": 21918 + }, + { + "epoch": 0.52, + "grad_norm": 1.6457596206642044, + "learning_rate": 9.95498072951213e-06, + "loss": 0.8676, + "step": 21919 + }, + { + "epoch": 0.52, + "grad_norm": 1.5752908713302143, + "learning_rate": 9.954217696316043e-06, + "loss": 0.8209, + "step": 21920 + }, + { + "epoch": 0.52, + "grad_norm": 2.0297772570634827, + "learning_rate": 9.95345466338652e-06, + "loss": 0.825, + "step": 21921 + }, + { + "epoch": 0.52, + "grad_norm": 1.6926700401062984, + "learning_rate": 9.952691630728001e-06, + "loss": 0.8263, + "step": 21922 + }, + { + "epoch": 0.52, + "grad_norm": 2.104027241843911, + "learning_rate": 9.951928598344923e-06, + "loss": 0.9533, + "step": 21923 + }, + { + "epoch": 0.52, + "grad_norm": 1.603774476499243, + "learning_rate": 9.95116556624173e-06, + "loss": 0.8341, + "step": 21924 + }, + { + "epoch": 0.52, + "grad_norm": 1.6379093209186053, + "learning_rate": 9.950402534422869e-06, + "loss": 0.7826, + "step": 21925 + }, + { + "epoch": 0.52, + "grad_norm": 1.670603906977267, + "learning_rate": 9.94963950289278e-06, + "loss": 0.8182, + "step": 21926 + }, + { + "epoch": 0.52, + "grad_norm": 1.6711447685616059, + "learning_rate": 9.948876471655906e-06, + "loss": 0.9411, + "step": 21927 + }, + { + "epoch": 0.52, + "grad_norm": 1.4689084772877934, + "learning_rate": 9.948113440716687e-06, + "loss": 0.8368, + "step": 21928 + }, + { + "epoch": 0.52, + "grad_norm": 1.4936819077898966, + "learning_rate": 9.947350410079572e-06, + "loss": 0.8377, + "step": 21929 + }, + { + "epoch": 0.52, + "grad_norm": 1.7083786924147784, + "learning_rate": 9.946587379748997e-06, + "loss": 0.856, + "step": 21930 + }, + { + "epoch": 0.52, + "grad_norm": 0.8124562157699545, + "learning_rate": 9.945824349729405e-06, + "loss": 0.7416, + "step": 21931 + }, + { + "epoch": 0.52, + "grad_norm": 1.8857407791198122, + "learning_rate": 9.945061320025243e-06, + "loss": 1.0722, + "step": 21932 + }, + { + "epoch": 0.52, + "grad_norm": 1.4792559206286033, + "learning_rate": 9.944298290640955e-06, + "loss": 0.8698, + "step": 21933 + }, + { + "epoch": 0.52, + "grad_norm": 1.7171566247089707, + "learning_rate": 9.943535261580977e-06, + "loss": 0.8706, + "step": 21934 + }, + { + "epoch": 0.52, + "grad_norm": 0.8145514067719586, + "learning_rate": 9.942772232849751e-06, + "loss": 0.7772, + "step": 21935 + }, + { + "epoch": 0.52, + "grad_norm": 1.5899589971699812, + "learning_rate": 9.942009204451731e-06, + "loss": 0.8056, + "step": 21936 + }, + { + "epoch": 0.52, + "grad_norm": 1.9402614228016628, + "learning_rate": 9.941246176391345e-06, + "loss": 0.8862, + "step": 21937 + }, + { + "epoch": 0.52, + "grad_norm": 1.5991696637181283, + "learning_rate": 9.940483148673045e-06, + "loss": 0.6961, + "step": 21938 + }, + { + "epoch": 0.52, + "grad_norm": 2.4161385261817725, + "learning_rate": 9.939720121301268e-06, + "loss": 1.0146, + "step": 21939 + }, + { + "epoch": 0.52, + "grad_norm": 1.3283181961355344, + "learning_rate": 9.938957094280464e-06, + "loss": 0.7845, + "step": 21940 + }, + { + "epoch": 0.52, + "grad_norm": 0.7714472749321283, + "learning_rate": 9.93819406761507e-06, + "loss": 0.7338, + "step": 21941 + }, + { + "epoch": 0.52, + "grad_norm": 1.6070553997284425, + "learning_rate": 9.937431041309528e-06, + "loss": 0.7849, + "step": 21942 + }, + { + "epoch": 0.52, + "grad_norm": 1.7423276113544797, + "learning_rate": 9.936668015368286e-06, + "loss": 0.8831, + "step": 21943 + }, + { + "epoch": 0.52, + "grad_norm": 1.7313044030668645, + "learning_rate": 9.935904989795778e-06, + "loss": 0.8599, + "step": 21944 + }, + { + "epoch": 0.52, + "grad_norm": 1.715354709861492, + "learning_rate": 9.935141964596453e-06, + "loss": 0.8847, + "step": 21945 + }, + { + "epoch": 0.52, + "grad_norm": 0.7274575416605205, + "learning_rate": 9.934378939774753e-06, + "loss": 0.7016, + "step": 21946 + }, + { + "epoch": 0.52, + "grad_norm": 1.5627944858768685, + "learning_rate": 9.933615915335121e-06, + "loss": 0.808, + "step": 21947 + }, + { + "epoch": 0.52, + "grad_norm": 1.7094949842322518, + "learning_rate": 9.932852891281994e-06, + "loss": 0.8812, + "step": 21948 + }, + { + "epoch": 0.52, + "grad_norm": 1.5008733729780113, + "learning_rate": 9.932089867619821e-06, + "loss": 0.811, + "step": 21949 + }, + { + "epoch": 0.52, + "grad_norm": 2.0013013398877315, + "learning_rate": 9.931326844353044e-06, + "loss": 0.7786, + "step": 21950 + }, + { + "epoch": 0.52, + "grad_norm": 1.8274459071554452, + "learning_rate": 9.930563821486101e-06, + "loss": 0.8635, + "step": 21951 + }, + { + "epoch": 0.52, + "grad_norm": 1.7331890712982176, + "learning_rate": 9.929800799023438e-06, + "loss": 0.8853, + "step": 21952 + }, + { + "epoch": 0.52, + "grad_norm": 4.23611709245301, + "learning_rate": 9.929037776969498e-06, + "loss": 0.8104, + "step": 21953 + }, + { + "epoch": 0.52, + "grad_norm": 1.7204008458662892, + "learning_rate": 9.928274755328724e-06, + "loss": 0.9047, + "step": 21954 + }, + { + "epoch": 0.52, + "grad_norm": 1.7380701506642595, + "learning_rate": 9.927511734105555e-06, + "loss": 0.8932, + "step": 21955 + }, + { + "epoch": 0.52, + "grad_norm": 1.6168550101342598, + "learning_rate": 9.926748713304433e-06, + "loss": 0.8331, + "step": 21956 + }, + { + "epoch": 0.52, + "grad_norm": 2.108571943457281, + "learning_rate": 9.925985692929809e-06, + "loss": 0.8385, + "step": 21957 + }, + { + "epoch": 0.52, + "grad_norm": 1.8262560104365595, + "learning_rate": 9.925222672986116e-06, + "loss": 0.7337, + "step": 21958 + }, + { + "epoch": 0.52, + "grad_norm": 1.457151229409821, + "learning_rate": 9.924459653477802e-06, + "loss": 0.8819, + "step": 21959 + }, + { + "epoch": 0.52, + "grad_norm": 1.6722590265704131, + "learning_rate": 9.923696634409304e-06, + "loss": 0.8691, + "step": 21960 + }, + { + "epoch": 0.52, + "grad_norm": 1.7431320311871792, + "learning_rate": 9.922933615785073e-06, + "loss": 0.7141, + "step": 21961 + }, + { + "epoch": 0.52, + "grad_norm": 1.9099695226347098, + "learning_rate": 9.922170597609545e-06, + "loss": 0.9432, + "step": 21962 + }, + { + "epoch": 0.52, + "grad_norm": 2.095207322035934, + "learning_rate": 9.921407579887164e-06, + "loss": 1.0117, + "step": 21963 + }, + { + "epoch": 0.52, + "grad_norm": 1.6632787881541702, + "learning_rate": 9.920644562622375e-06, + "loss": 0.8712, + "step": 21964 + }, + { + "epoch": 0.52, + "grad_norm": 1.5765845280850197, + "learning_rate": 9.919881545819614e-06, + "loss": 0.901, + "step": 21965 + }, + { + "epoch": 0.52, + "grad_norm": 0.750780164336429, + "learning_rate": 9.919118529483333e-06, + "loss": 0.7153, + "step": 21966 + }, + { + "epoch": 0.52, + "grad_norm": 0.7495329533125555, + "learning_rate": 9.918355513617964e-06, + "loss": 0.7426, + "step": 21967 + }, + { + "epoch": 0.52, + "grad_norm": 1.7303604330629745, + "learning_rate": 9.917592498227964e-06, + "loss": 0.8704, + "step": 21968 + }, + { + "epoch": 0.52, + "grad_norm": 0.8110867485115603, + "learning_rate": 9.916829483317758e-06, + "loss": 0.7214, + "step": 21969 + }, + { + "epoch": 0.52, + "grad_norm": 0.7521195912101307, + "learning_rate": 9.9160664688918e-06, + "loss": 0.6963, + "step": 21970 + }, + { + "epoch": 0.52, + "grad_norm": 0.7840183165764574, + "learning_rate": 9.915303454954533e-06, + "loss": 0.7196, + "step": 21971 + }, + { + "epoch": 0.52, + "grad_norm": 0.8188035935481571, + "learning_rate": 9.914540441510392e-06, + "loss": 0.7018, + "step": 21972 + }, + { + "epoch": 0.52, + "grad_norm": 1.5759907529997286, + "learning_rate": 9.913777428563823e-06, + "loss": 0.7588, + "step": 21973 + }, + { + "epoch": 0.52, + "grad_norm": 0.7871906627378394, + "learning_rate": 9.91301441611927e-06, + "loss": 0.8044, + "step": 21974 + }, + { + "epoch": 0.52, + "grad_norm": 1.4802009623729286, + "learning_rate": 9.912251404181177e-06, + "loss": 0.9616, + "step": 21975 + }, + { + "epoch": 0.52, + "grad_norm": 1.8110926790736561, + "learning_rate": 9.911488392753982e-06, + "loss": 0.8954, + "step": 21976 + }, + { + "epoch": 0.52, + "grad_norm": 1.4884610423002982, + "learning_rate": 9.910725381842127e-06, + "loss": 0.9292, + "step": 21977 + }, + { + "epoch": 0.52, + "grad_norm": 1.6740654295658943, + "learning_rate": 9.909962371450062e-06, + "loss": 0.827, + "step": 21978 + }, + { + "epoch": 0.52, + "grad_norm": 1.5107544379386457, + "learning_rate": 9.909199361582223e-06, + "loss": 0.8734, + "step": 21979 + }, + { + "epoch": 0.52, + "grad_norm": 2.4636428435706565, + "learning_rate": 9.908436352243052e-06, + "loss": 0.705, + "step": 21980 + }, + { + "epoch": 0.52, + "grad_norm": 2.577407001392402, + "learning_rate": 9.907673343436994e-06, + "loss": 0.8509, + "step": 21981 + }, + { + "epoch": 0.52, + "grad_norm": 1.5650450813666459, + "learning_rate": 9.906910335168495e-06, + "loss": 0.7903, + "step": 21982 + }, + { + "epoch": 0.52, + "grad_norm": 1.635033842591341, + "learning_rate": 9.90614732744199e-06, + "loss": 0.8802, + "step": 21983 + }, + { + "epoch": 0.52, + "grad_norm": 1.77861574972165, + "learning_rate": 9.905384320261924e-06, + "loss": 0.6757, + "step": 21984 + }, + { + "epoch": 0.52, + "grad_norm": 1.5313943832971921, + "learning_rate": 9.904621313632747e-06, + "loss": 0.841, + "step": 21985 + }, + { + "epoch": 0.52, + "grad_norm": 1.7750856743157801, + "learning_rate": 9.903858307558887e-06, + "loss": 0.9012, + "step": 21986 + }, + { + "epoch": 0.52, + "grad_norm": 1.755723122114638, + "learning_rate": 9.903095302044798e-06, + "loss": 1.0374, + "step": 21987 + }, + { + "epoch": 0.52, + "grad_norm": 1.6645804610212245, + "learning_rate": 9.902332297094915e-06, + "loss": 0.9574, + "step": 21988 + }, + { + "epoch": 0.52, + "grad_norm": 1.4623688131557813, + "learning_rate": 9.901569292713689e-06, + "loss": 0.8188, + "step": 21989 + }, + { + "epoch": 0.52, + "grad_norm": 2.092989744746987, + "learning_rate": 9.900806288905557e-06, + "loss": 0.7953, + "step": 21990 + }, + { + "epoch": 0.52, + "grad_norm": 1.4996289407832606, + "learning_rate": 9.900043285674961e-06, + "loss": 0.8675, + "step": 21991 + }, + { + "epoch": 0.52, + "grad_norm": 1.7119015365703762, + "learning_rate": 9.899280283026346e-06, + "loss": 0.9894, + "step": 21992 + }, + { + "epoch": 0.52, + "grad_norm": 1.5736090067552388, + "learning_rate": 9.898517280964152e-06, + "loss": 0.8516, + "step": 21993 + }, + { + "epoch": 0.52, + "grad_norm": 1.4605788693588013, + "learning_rate": 9.897754279492822e-06, + "loss": 0.8678, + "step": 21994 + }, + { + "epoch": 0.52, + "grad_norm": 2.0356698533873914, + "learning_rate": 9.8969912786168e-06, + "loss": 0.9186, + "step": 21995 + }, + { + "epoch": 0.52, + "grad_norm": 1.5657715901112979, + "learning_rate": 9.896228278340529e-06, + "loss": 0.8398, + "step": 21996 + }, + { + "epoch": 0.52, + "grad_norm": 1.5360714462841656, + "learning_rate": 9.895465278668445e-06, + "loss": 0.8249, + "step": 21997 + }, + { + "epoch": 0.52, + "grad_norm": 1.969143277962997, + "learning_rate": 9.894702279604997e-06, + "loss": 0.8856, + "step": 21998 + }, + { + "epoch": 0.52, + "grad_norm": 1.6030302160631231, + "learning_rate": 9.89393928115463e-06, + "loss": 0.8334, + "step": 21999 + }, + { + "epoch": 0.52, + "grad_norm": 1.517159712520526, + "learning_rate": 9.893176283321779e-06, + "loss": 0.8554, + "step": 22000 + }, + { + "epoch": 0.52, + "grad_norm": 1.4916800266332988, + "learning_rate": 9.892413286110886e-06, + "loss": 1.0477, + "step": 22001 + }, + { + "epoch": 0.52, + "grad_norm": 2.1686710612889564, + "learning_rate": 9.8916502895264e-06, + "loss": 0.82, + "step": 22002 + }, + { + "epoch": 0.52, + "grad_norm": 1.669483155557792, + "learning_rate": 9.890887293572763e-06, + "loss": 0.952, + "step": 22003 + }, + { + "epoch": 0.52, + "grad_norm": 0.7924408866599535, + "learning_rate": 9.890124298254412e-06, + "loss": 0.6723, + "step": 22004 + }, + { + "epoch": 0.52, + "grad_norm": 1.7870352551360278, + "learning_rate": 9.88936130357579e-06, + "loss": 0.8942, + "step": 22005 + }, + { + "epoch": 0.52, + "grad_norm": 1.6455216420813594, + "learning_rate": 9.888598309541347e-06, + "loss": 0.8783, + "step": 22006 + }, + { + "epoch": 0.52, + "grad_norm": 1.8710531371132475, + "learning_rate": 9.887835316155516e-06, + "loss": 0.8613, + "step": 22007 + }, + { + "epoch": 0.52, + "grad_norm": 0.7816374648289206, + "learning_rate": 9.887072323422743e-06, + "loss": 0.7306, + "step": 22008 + }, + { + "epoch": 0.52, + "grad_norm": 0.7809663101049094, + "learning_rate": 9.886309331347471e-06, + "loss": 0.7348, + "step": 22009 + }, + { + "epoch": 0.52, + "grad_norm": 1.7472870247293637, + "learning_rate": 9.885546339934145e-06, + "loss": 0.9028, + "step": 22010 + }, + { + "epoch": 0.52, + "grad_norm": 1.93396598723121, + "learning_rate": 9.884783349187202e-06, + "loss": 0.7871, + "step": 22011 + }, + { + "epoch": 0.52, + "grad_norm": 1.539764354340255, + "learning_rate": 9.884020359111087e-06, + "loss": 0.7396, + "step": 22012 + }, + { + "epoch": 0.52, + "grad_norm": 0.7793577165496596, + "learning_rate": 9.883257369710244e-06, + "loss": 0.6858, + "step": 22013 + }, + { + "epoch": 0.52, + "grad_norm": 0.749250373762449, + "learning_rate": 9.88249438098911e-06, + "loss": 0.7189, + "step": 22014 + }, + { + "epoch": 0.52, + "grad_norm": 0.7466161885885196, + "learning_rate": 9.881731392952134e-06, + "loss": 0.7014, + "step": 22015 + }, + { + "epoch": 0.52, + "grad_norm": 1.435994524560895, + "learning_rate": 9.880968405603751e-06, + "loss": 0.8188, + "step": 22016 + }, + { + "epoch": 0.52, + "grad_norm": 2.22845315605373, + "learning_rate": 9.880205418948414e-06, + "loss": 0.8519, + "step": 22017 + }, + { + "epoch": 0.52, + "grad_norm": 2.444950303380993, + "learning_rate": 9.879442432990553e-06, + "loss": 0.8019, + "step": 22018 + }, + { + "epoch": 0.52, + "grad_norm": 1.5262841322121936, + "learning_rate": 9.87867944773462e-06, + "loss": 0.8269, + "step": 22019 + }, + { + "epoch": 0.52, + "grad_norm": 1.4534784770429239, + "learning_rate": 9.877916463185054e-06, + "loss": 0.7573, + "step": 22020 + }, + { + "epoch": 0.52, + "grad_norm": 1.4592375856546547, + "learning_rate": 9.877153479346296e-06, + "loss": 0.9599, + "step": 22021 + }, + { + "epoch": 0.52, + "grad_norm": 0.8060227081887507, + "learning_rate": 9.876390496222787e-06, + "loss": 0.7431, + "step": 22022 + }, + { + "epoch": 0.52, + "grad_norm": 1.748250396697735, + "learning_rate": 9.875627513818973e-06, + "loss": 0.8901, + "step": 22023 + }, + { + "epoch": 0.52, + "grad_norm": 1.8138989257194835, + "learning_rate": 9.874864532139299e-06, + "loss": 0.8122, + "step": 22024 + }, + { + "epoch": 0.52, + "grad_norm": 1.8677306823515054, + "learning_rate": 9.874101551188198e-06, + "loss": 0.8585, + "step": 22025 + }, + { + "epoch": 0.52, + "grad_norm": 1.6662052419845388, + "learning_rate": 9.873338570970119e-06, + "loss": 0.9885, + "step": 22026 + }, + { + "epoch": 0.52, + "grad_norm": 1.4557918992080516, + "learning_rate": 9.872575591489505e-06, + "loss": 0.8668, + "step": 22027 + }, + { + "epoch": 0.52, + "grad_norm": 1.4373346233930866, + "learning_rate": 9.871812612750794e-06, + "loss": 0.8924, + "step": 22028 + }, + { + "epoch": 0.52, + "grad_norm": 1.6300604140406258, + "learning_rate": 9.87104963475843e-06, + "loss": 0.9461, + "step": 22029 + }, + { + "epoch": 0.52, + "grad_norm": 2.7362371319765892, + "learning_rate": 9.870286657516856e-06, + "loss": 0.8467, + "step": 22030 + }, + { + "epoch": 0.52, + "grad_norm": 4.343345302956341, + "learning_rate": 9.869523681030518e-06, + "loss": 0.9606, + "step": 22031 + }, + { + "epoch": 0.52, + "grad_norm": 1.8532467416630019, + "learning_rate": 9.868760705303852e-06, + "loss": 0.9163, + "step": 22032 + }, + { + "epoch": 0.52, + "grad_norm": 1.8584581141811578, + "learning_rate": 9.8679977303413e-06, + "loss": 0.9312, + "step": 22033 + }, + { + "epoch": 0.52, + "grad_norm": 0.8123948266359321, + "learning_rate": 9.867234756147314e-06, + "loss": 0.6799, + "step": 22034 + }, + { + "epoch": 0.52, + "grad_norm": 1.7465134125417747, + "learning_rate": 9.866471782726323e-06, + "loss": 0.8358, + "step": 22035 + }, + { + "epoch": 0.52, + "grad_norm": 1.4715152513662348, + "learning_rate": 9.865708810082776e-06, + "loss": 0.95, + "step": 22036 + }, + { + "epoch": 0.52, + "grad_norm": 1.446537943240741, + "learning_rate": 9.864945838221114e-06, + "loss": 0.8751, + "step": 22037 + }, + { + "epoch": 0.52, + "grad_norm": 1.7670570270120247, + "learning_rate": 9.864182867145784e-06, + "loss": 0.8278, + "step": 22038 + }, + { + "epoch": 0.52, + "grad_norm": 1.595000691031975, + "learning_rate": 9.863419896861222e-06, + "loss": 0.8505, + "step": 22039 + }, + { + "epoch": 0.52, + "grad_norm": 2.54381715548741, + "learning_rate": 9.862656927371873e-06, + "loss": 0.9594, + "step": 22040 + }, + { + "epoch": 0.52, + "grad_norm": 1.6852950017619883, + "learning_rate": 9.861893958682183e-06, + "loss": 0.8313, + "step": 22041 + }, + { + "epoch": 0.52, + "grad_norm": 1.6787214569066782, + "learning_rate": 9.861130990796583e-06, + "loss": 1.0046, + "step": 22042 + }, + { + "epoch": 0.52, + "grad_norm": 1.6473295369119, + "learning_rate": 9.860368023719525e-06, + "loss": 0.9403, + "step": 22043 + }, + { + "epoch": 0.52, + "grad_norm": 0.7834478621541502, + "learning_rate": 9.85960505745545e-06, + "loss": 0.7258, + "step": 22044 + }, + { + "epoch": 0.52, + "grad_norm": 1.71294025168943, + "learning_rate": 9.858842092008799e-06, + "loss": 0.8557, + "step": 22045 + }, + { + "epoch": 0.52, + "grad_norm": 2.6071908041522587, + "learning_rate": 9.85807912738401e-06, + "loss": 0.8454, + "step": 22046 + }, + { + "epoch": 0.52, + "grad_norm": 1.7634058864925624, + "learning_rate": 9.857316163585533e-06, + "loss": 0.7497, + "step": 22047 + }, + { + "epoch": 0.52, + "grad_norm": 1.5747592465851676, + "learning_rate": 9.856553200617805e-06, + "loss": 0.8593, + "step": 22048 + }, + { + "epoch": 0.52, + "grad_norm": 1.840452178905495, + "learning_rate": 9.855790238485273e-06, + "loss": 0.8118, + "step": 22049 + }, + { + "epoch": 0.52, + "grad_norm": 1.5199574737551518, + "learning_rate": 9.85502727719237e-06, + "loss": 0.8186, + "step": 22050 + }, + { + "epoch": 0.52, + "grad_norm": 1.5406021415504072, + "learning_rate": 9.854264316743549e-06, + "loss": 0.9107, + "step": 22051 + }, + { + "epoch": 0.52, + "grad_norm": 1.5832525555867598, + "learning_rate": 9.853501357143247e-06, + "loss": 0.824, + "step": 22052 + }, + { + "epoch": 0.52, + "grad_norm": 1.4274790246209224, + "learning_rate": 9.852738398395904e-06, + "loss": 0.9177, + "step": 22053 + }, + { + "epoch": 0.52, + "grad_norm": 2.017212533027335, + "learning_rate": 9.851975440505964e-06, + "loss": 0.8634, + "step": 22054 + }, + { + "epoch": 0.52, + "grad_norm": 1.851240408126718, + "learning_rate": 9.851212483477871e-06, + "loss": 0.8974, + "step": 22055 + }, + { + "epoch": 0.52, + "grad_norm": 2.170460015116881, + "learning_rate": 9.850449527316069e-06, + "loss": 0.9669, + "step": 22056 + }, + { + "epoch": 0.52, + "grad_norm": 1.5303104457932482, + "learning_rate": 9.849686572024995e-06, + "loss": 0.8567, + "step": 22057 + }, + { + "epoch": 0.52, + "grad_norm": 1.6704486039744215, + "learning_rate": 9.84892361760909e-06, + "loss": 0.8897, + "step": 22058 + }, + { + "epoch": 0.52, + "grad_norm": 1.8240410876627688, + "learning_rate": 9.848160664072806e-06, + "loss": 0.8842, + "step": 22059 + }, + { + "epoch": 0.52, + "grad_norm": 1.4609391543068546, + "learning_rate": 9.847397711420574e-06, + "loss": 0.8845, + "step": 22060 + }, + { + "epoch": 0.52, + "grad_norm": 0.7413682904296631, + "learning_rate": 9.846634759656843e-06, + "loss": 0.722, + "step": 22061 + }, + { + "epoch": 0.52, + "grad_norm": 1.7370894799600805, + "learning_rate": 9.84587180878605e-06, + "loss": 0.8881, + "step": 22062 + }, + { + "epoch": 0.52, + "grad_norm": 1.8787805823069286, + "learning_rate": 9.845108858812645e-06, + "loss": 0.9664, + "step": 22063 + }, + { + "epoch": 0.52, + "grad_norm": 1.8433040498773778, + "learning_rate": 9.844345909741061e-06, + "loss": 0.826, + "step": 22064 + }, + { + "epoch": 0.52, + "grad_norm": 2.3521949259334765, + "learning_rate": 9.843582961575743e-06, + "loss": 0.9074, + "step": 22065 + }, + { + "epoch": 0.52, + "grad_norm": 1.6381958300848423, + "learning_rate": 9.842820014321143e-06, + "loss": 0.8168, + "step": 22066 + }, + { + "epoch": 0.52, + "grad_norm": 1.6570912476883208, + "learning_rate": 9.842057067981686e-06, + "loss": 0.8534, + "step": 22067 + }, + { + "epoch": 0.52, + "grad_norm": 1.567997417652067, + "learning_rate": 9.841294122561826e-06, + "loss": 0.7661, + "step": 22068 + }, + { + "epoch": 0.52, + "grad_norm": 2.0765573303804676, + "learning_rate": 9.840531178066e-06, + "loss": 0.8933, + "step": 22069 + }, + { + "epoch": 0.52, + "grad_norm": 1.5850583436271362, + "learning_rate": 9.839768234498658e-06, + "loss": 0.812, + "step": 22070 + }, + { + "epoch": 0.52, + "grad_norm": 1.6926440962040645, + "learning_rate": 9.839005291864229e-06, + "loss": 0.8552, + "step": 22071 + }, + { + "epoch": 0.52, + "grad_norm": 1.602580592687665, + "learning_rate": 9.838242350167164e-06, + "loss": 0.8454, + "step": 22072 + }, + { + "epoch": 0.52, + "grad_norm": 1.6100514582595997, + "learning_rate": 9.837479409411907e-06, + "loss": 0.8279, + "step": 22073 + }, + { + "epoch": 0.52, + "grad_norm": 1.6711143369879837, + "learning_rate": 9.836716469602891e-06, + "loss": 0.9109, + "step": 22074 + }, + { + "epoch": 0.52, + "grad_norm": 1.7858455752493907, + "learning_rate": 9.835953530744567e-06, + "loss": 0.899, + "step": 22075 + }, + { + "epoch": 0.52, + "grad_norm": 1.6082547766160977, + "learning_rate": 9.835190592841371e-06, + "loss": 0.9803, + "step": 22076 + }, + { + "epoch": 0.52, + "grad_norm": 0.7487840990855327, + "learning_rate": 9.834427655897751e-06, + "loss": 0.6309, + "step": 22077 + }, + { + "epoch": 0.52, + "grad_norm": 2.740702070726888, + "learning_rate": 9.83366471991814e-06, + "loss": 0.8429, + "step": 22078 + }, + { + "epoch": 0.52, + "grad_norm": 0.7429307746008328, + "learning_rate": 9.83290178490699e-06, + "loss": 0.7067, + "step": 22079 + }, + { + "epoch": 0.52, + "grad_norm": 1.5009848078511798, + "learning_rate": 9.83213885086874e-06, + "loss": 0.8537, + "step": 22080 + }, + { + "epoch": 0.52, + "grad_norm": 1.6788859566009697, + "learning_rate": 9.831375917807829e-06, + "loss": 0.7206, + "step": 22081 + }, + { + "epoch": 0.52, + "grad_norm": 1.8561034311213451, + "learning_rate": 9.830612985728699e-06, + "loss": 0.8442, + "step": 22082 + }, + { + "epoch": 0.52, + "grad_norm": 1.7730946936515326, + "learning_rate": 9.829850054635794e-06, + "loss": 0.8113, + "step": 22083 + }, + { + "epoch": 0.52, + "grad_norm": 1.5554703295604542, + "learning_rate": 9.829087124533559e-06, + "loss": 0.8183, + "step": 22084 + }, + { + "epoch": 0.52, + "grad_norm": 1.8133232918427, + "learning_rate": 9.828324195426431e-06, + "loss": 0.9312, + "step": 22085 + }, + { + "epoch": 0.52, + "grad_norm": 0.7553679295342891, + "learning_rate": 9.827561267318852e-06, + "loss": 0.7082, + "step": 22086 + }, + { + "epoch": 0.52, + "grad_norm": 0.7532758241447324, + "learning_rate": 9.82679834021527e-06, + "loss": 0.7722, + "step": 22087 + }, + { + "epoch": 0.52, + "grad_norm": 1.4707735842939378, + "learning_rate": 9.826035414120122e-06, + "loss": 0.8906, + "step": 22088 + }, + { + "epoch": 0.52, + "grad_norm": 1.6662896347862057, + "learning_rate": 9.825272489037847e-06, + "loss": 0.7864, + "step": 22089 + }, + { + "epoch": 0.52, + "grad_norm": 1.8032450903432589, + "learning_rate": 9.824509564972892e-06, + "loss": 0.7099, + "step": 22090 + }, + { + "epoch": 0.52, + "grad_norm": 1.7834071418888495, + "learning_rate": 9.823746641929702e-06, + "loss": 0.8481, + "step": 22091 + }, + { + "epoch": 0.52, + "grad_norm": 0.7733027435698322, + "learning_rate": 9.822983719912712e-06, + "loss": 0.7633, + "step": 22092 + }, + { + "epoch": 0.52, + "grad_norm": 1.6970099545114443, + "learning_rate": 9.822220798926367e-06, + "loss": 0.8569, + "step": 22093 + }, + { + "epoch": 0.52, + "grad_norm": 1.546369504260628, + "learning_rate": 9.82145787897511e-06, + "loss": 0.7935, + "step": 22094 + }, + { + "epoch": 0.52, + "grad_norm": 1.6993706327863163, + "learning_rate": 9.82069496006338e-06, + "loss": 0.9074, + "step": 22095 + }, + { + "epoch": 0.52, + "grad_norm": 1.5520048470557912, + "learning_rate": 9.81993204219562e-06, + "loss": 0.8728, + "step": 22096 + }, + { + "epoch": 0.52, + "grad_norm": 1.6138986102167612, + "learning_rate": 9.819169125376275e-06, + "loss": 0.7995, + "step": 22097 + }, + { + "epoch": 0.52, + "grad_norm": 1.5318724653595075, + "learning_rate": 9.818406209609784e-06, + "loss": 0.9155, + "step": 22098 + }, + { + "epoch": 0.52, + "grad_norm": 1.7819753014943192, + "learning_rate": 9.817643294900587e-06, + "loss": 0.7981, + "step": 22099 + }, + { + "epoch": 0.52, + "grad_norm": 2.084718834809789, + "learning_rate": 9.81688038125313e-06, + "loss": 0.8578, + "step": 22100 + }, + { + "epoch": 0.52, + "grad_norm": 1.703370684245349, + "learning_rate": 9.816117468671858e-06, + "loss": 0.9217, + "step": 22101 + }, + { + "epoch": 0.52, + "grad_norm": 1.587308107476178, + "learning_rate": 9.815354557161203e-06, + "loss": 1.0024, + "step": 22102 + }, + { + "epoch": 0.52, + "grad_norm": 1.6032708510244695, + "learning_rate": 9.814591646725611e-06, + "loss": 0.7767, + "step": 22103 + }, + { + "epoch": 0.52, + "grad_norm": 0.783085336398448, + "learning_rate": 9.813828737369527e-06, + "loss": 0.6957, + "step": 22104 + }, + { + "epoch": 0.52, + "grad_norm": 1.8674643971459974, + "learning_rate": 9.813065829097394e-06, + "loss": 0.7903, + "step": 22105 + }, + { + "epoch": 0.52, + "grad_norm": 1.5023129994956257, + "learning_rate": 9.81230292191365e-06, + "loss": 0.7866, + "step": 22106 + }, + { + "epoch": 0.52, + "grad_norm": 1.491321921434214, + "learning_rate": 9.811540015822733e-06, + "loss": 0.9197, + "step": 22107 + }, + { + "epoch": 0.52, + "grad_norm": 1.5983401766109697, + "learning_rate": 9.810777110829096e-06, + "loss": 0.8991, + "step": 22108 + }, + { + "epoch": 0.52, + "grad_norm": 1.307534001197095, + "learning_rate": 9.81001420693717e-06, + "loss": 0.9194, + "step": 22109 + }, + { + "epoch": 0.52, + "grad_norm": 1.5094389286722922, + "learning_rate": 9.809251304151404e-06, + "loss": 0.8443, + "step": 22110 + }, + { + "epoch": 0.52, + "grad_norm": 1.608573013812087, + "learning_rate": 9.808488402476234e-06, + "loss": 0.8476, + "step": 22111 + }, + { + "epoch": 0.52, + "grad_norm": 1.850688660533536, + "learning_rate": 9.80772550191611e-06, + "loss": 0.9577, + "step": 22112 + }, + { + "epoch": 0.52, + "grad_norm": 2.4989359743986608, + "learning_rate": 9.806962602475466e-06, + "loss": 0.8664, + "step": 22113 + }, + { + "epoch": 0.52, + "grad_norm": 1.858180176152865, + "learning_rate": 9.806199704158745e-06, + "loss": 0.9276, + "step": 22114 + }, + { + "epoch": 0.52, + "grad_norm": 2.552589448679472, + "learning_rate": 9.805436806970397e-06, + "loss": 0.8995, + "step": 22115 + }, + { + "epoch": 0.52, + "grad_norm": 1.5604957268864557, + "learning_rate": 9.804673910914851e-06, + "loss": 0.9171, + "step": 22116 + }, + { + "epoch": 0.52, + "grad_norm": 1.5833965003728574, + "learning_rate": 9.803911015996557e-06, + "loss": 1.0136, + "step": 22117 + }, + { + "epoch": 0.52, + "grad_norm": 1.6203952746487298, + "learning_rate": 9.803148122219955e-06, + "loss": 0.8423, + "step": 22118 + }, + { + "epoch": 0.52, + "grad_norm": 1.8916639193469094, + "learning_rate": 9.802385229589493e-06, + "loss": 0.7973, + "step": 22119 + }, + { + "epoch": 0.52, + "grad_norm": 1.5593304255709572, + "learning_rate": 9.801622338109599e-06, + "loss": 0.7577, + "step": 22120 + }, + { + "epoch": 0.52, + "grad_norm": 1.6497447611944989, + "learning_rate": 9.800859447784726e-06, + "loss": 0.8089, + "step": 22121 + }, + { + "epoch": 0.52, + "grad_norm": 1.9502886339937353, + "learning_rate": 9.800096558619313e-06, + "loss": 0.7954, + "step": 22122 + }, + { + "epoch": 0.52, + "grad_norm": 1.6691604666385103, + "learning_rate": 9.799333670617797e-06, + "loss": 0.88, + "step": 22123 + }, + { + "epoch": 0.52, + "grad_norm": 1.8654991668624732, + "learning_rate": 9.798570783784627e-06, + "loss": 0.7942, + "step": 22124 + }, + { + "epoch": 0.52, + "grad_norm": 2.2762785940065773, + "learning_rate": 9.79780789812424e-06, + "loss": 0.925, + "step": 22125 + }, + { + "epoch": 0.52, + "grad_norm": 1.508978129241158, + "learning_rate": 9.797045013641084e-06, + "loss": 0.8807, + "step": 22126 + }, + { + "epoch": 0.52, + "grad_norm": 1.6157292554740177, + "learning_rate": 9.79628213033959e-06, + "loss": 0.8769, + "step": 22127 + }, + { + "epoch": 0.52, + "grad_norm": 1.4444426931305838, + "learning_rate": 9.79551924822421e-06, + "loss": 0.9038, + "step": 22128 + }, + { + "epoch": 0.52, + "grad_norm": 1.5072015645851022, + "learning_rate": 9.794756367299383e-06, + "loss": 0.9169, + "step": 22129 + }, + { + "epoch": 0.52, + "grad_norm": 2.6886602803738975, + "learning_rate": 9.793993487569544e-06, + "loss": 0.9003, + "step": 22130 + }, + { + "epoch": 0.52, + "grad_norm": 1.6231584346894543, + "learning_rate": 9.793230609039142e-06, + "loss": 0.9178, + "step": 22131 + }, + { + "epoch": 0.52, + "grad_norm": 1.4268668305135137, + "learning_rate": 9.792467731712618e-06, + "loss": 0.7981, + "step": 22132 + }, + { + "epoch": 0.52, + "grad_norm": 1.649346346669236, + "learning_rate": 9.791704855594415e-06, + "loss": 0.849, + "step": 22133 + }, + { + "epoch": 0.52, + "grad_norm": 1.5659054989700383, + "learning_rate": 9.79094198068897e-06, + "loss": 0.922, + "step": 22134 + }, + { + "epoch": 0.52, + "grad_norm": 0.7982826470707804, + "learning_rate": 9.790179107000723e-06, + "loss": 0.6919, + "step": 22135 + }, + { + "epoch": 0.52, + "grad_norm": 1.5375556422187409, + "learning_rate": 9.789416234534126e-06, + "loss": 0.6496, + "step": 22136 + }, + { + "epoch": 0.52, + "grad_norm": 1.5852782136595345, + "learning_rate": 9.788653363293612e-06, + "loss": 0.7886, + "step": 22137 + }, + { + "epoch": 0.52, + "grad_norm": 0.7507947379509813, + "learning_rate": 9.787890493283626e-06, + "loss": 0.7506, + "step": 22138 + }, + { + "epoch": 0.52, + "grad_norm": 0.7599192912070849, + "learning_rate": 9.787127624508604e-06, + "loss": 0.722, + "step": 22139 + }, + { + "epoch": 0.52, + "grad_norm": 0.7910145430277855, + "learning_rate": 9.786364756972997e-06, + "loss": 0.7818, + "step": 22140 + }, + { + "epoch": 0.52, + "grad_norm": 1.6818940570887233, + "learning_rate": 9.785601890681242e-06, + "loss": 0.8487, + "step": 22141 + }, + { + "epoch": 0.52, + "grad_norm": 1.749099165658417, + "learning_rate": 9.78483902563778e-06, + "loss": 0.8508, + "step": 22142 + }, + { + "epoch": 0.52, + "grad_norm": 0.8140376576319922, + "learning_rate": 9.784076161847055e-06, + "loss": 0.7219, + "step": 22143 + }, + { + "epoch": 0.52, + "grad_norm": 1.6949599673138576, + "learning_rate": 9.783313299313502e-06, + "loss": 0.8991, + "step": 22144 + }, + { + "epoch": 0.52, + "grad_norm": 1.6534337780708486, + "learning_rate": 9.78255043804157e-06, + "loss": 0.8155, + "step": 22145 + }, + { + "epoch": 0.52, + "grad_norm": 1.4524934168864518, + "learning_rate": 9.781787578035698e-06, + "loss": 0.8154, + "step": 22146 + }, + { + "epoch": 0.52, + "grad_norm": 1.7391656421673065, + "learning_rate": 9.781024719300332e-06, + "loss": 0.8232, + "step": 22147 + }, + { + "epoch": 0.52, + "grad_norm": 1.8724758939995232, + "learning_rate": 9.780261861839903e-06, + "loss": 1.0201, + "step": 22148 + }, + { + "epoch": 0.52, + "grad_norm": 1.7344469404416383, + "learning_rate": 9.779499005658862e-06, + "loss": 0.8896, + "step": 22149 + }, + { + "epoch": 0.52, + "grad_norm": 0.7757267706407603, + "learning_rate": 9.77873615076165e-06, + "loss": 0.7284, + "step": 22150 + }, + { + "epoch": 0.52, + "grad_norm": 2.380165250130941, + "learning_rate": 9.777973297152703e-06, + "loss": 0.8538, + "step": 22151 + }, + { + "epoch": 0.52, + "grad_norm": 0.7291077139815528, + "learning_rate": 9.777210444836463e-06, + "loss": 0.6752, + "step": 22152 + }, + { + "epoch": 0.52, + "grad_norm": 1.8815116785917896, + "learning_rate": 9.77644759381738e-06, + "loss": 0.8829, + "step": 22153 + }, + { + "epoch": 0.52, + "grad_norm": 1.680555529240989, + "learning_rate": 9.775684744099889e-06, + "loss": 0.9072, + "step": 22154 + }, + { + "epoch": 0.52, + "grad_norm": 1.8018840876384792, + "learning_rate": 9.77492189568843e-06, + "loss": 0.8748, + "step": 22155 + }, + { + "epoch": 0.52, + "grad_norm": 1.596480176721564, + "learning_rate": 9.774159048587445e-06, + "loss": 0.9053, + "step": 22156 + }, + { + "epoch": 0.52, + "grad_norm": 1.6426171654011927, + "learning_rate": 9.773396202801383e-06, + "loss": 0.8745, + "step": 22157 + }, + { + "epoch": 0.52, + "grad_norm": 1.8629810388301011, + "learning_rate": 9.772633358334678e-06, + "loss": 0.868, + "step": 22158 + }, + { + "epoch": 0.52, + "grad_norm": 1.790283909764626, + "learning_rate": 9.771870515191773e-06, + "loss": 0.848, + "step": 22159 + }, + { + "epoch": 0.52, + "grad_norm": 1.4918115759270283, + "learning_rate": 9.771107673377106e-06, + "loss": 0.8625, + "step": 22160 + }, + { + "epoch": 0.52, + "grad_norm": 1.5911537796422262, + "learning_rate": 9.77034483289513e-06, + "loss": 0.8573, + "step": 22161 + }, + { + "epoch": 0.52, + "grad_norm": 1.8270134183859745, + "learning_rate": 9.769581993750277e-06, + "loss": 0.8024, + "step": 22162 + }, + { + "epoch": 0.52, + "grad_norm": 2.3423728867793425, + "learning_rate": 9.768819155946986e-06, + "loss": 0.7685, + "step": 22163 + }, + { + "epoch": 0.52, + "grad_norm": 1.5924118059837433, + "learning_rate": 9.768056319489711e-06, + "loss": 0.9186, + "step": 22164 + }, + { + "epoch": 0.52, + "grad_norm": 1.5888768493945316, + "learning_rate": 9.767293484382879e-06, + "loss": 0.82, + "step": 22165 + }, + { + "epoch": 0.52, + "grad_norm": 0.7852680629653007, + "learning_rate": 9.76653065063094e-06, + "loss": 0.7221, + "step": 22166 + }, + { + "epoch": 0.52, + "grad_norm": 1.7054151944738432, + "learning_rate": 9.76576781823833e-06, + "loss": 0.8906, + "step": 22167 + }, + { + "epoch": 0.52, + "grad_norm": 1.7300365122576569, + "learning_rate": 9.765004987209504e-06, + "loss": 0.8257, + "step": 22168 + }, + { + "epoch": 0.52, + "grad_norm": 1.5309153877816442, + "learning_rate": 9.764242157548884e-06, + "loss": 0.7619, + "step": 22169 + }, + { + "epoch": 0.52, + "grad_norm": 2.6952364317164763, + "learning_rate": 9.763479329260924e-06, + "loss": 0.8572, + "step": 22170 + }, + { + "epoch": 0.52, + "grad_norm": 1.6025335864546537, + "learning_rate": 9.762716502350058e-06, + "loss": 0.8978, + "step": 22171 + }, + { + "epoch": 0.52, + "grad_norm": 0.8445384091656958, + "learning_rate": 9.761953676820738e-06, + "loss": 0.7587, + "step": 22172 + }, + { + "epoch": 0.52, + "grad_norm": 1.6848131785472928, + "learning_rate": 9.761190852677397e-06, + "loss": 0.8365, + "step": 22173 + }, + { + "epoch": 0.52, + "grad_norm": 1.8303175271092351, + "learning_rate": 9.760428029924479e-06, + "loss": 1.0339, + "step": 22174 + }, + { + "epoch": 0.52, + "grad_norm": 1.3715592873591536, + "learning_rate": 9.759665208566425e-06, + "loss": 0.9048, + "step": 22175 + }, + { + "epoch": 0.52, + "grad_norm": 0.8009970242704723, + "learning_rate": 9.758902388607672e-06, + "loss": 0.7732, + "step": 22176 + }, + { + "epoch": 0.52, + "grad_norm": 1.544165376581056, + "learning_rate": 9.75813957005267e-06, + "loss": 0.9439, + "step": 22177 + }, + { + "epoch": 0.52, + "grad_norm": 1.6865517039289595, + "learning_rate": 9.757376752905854e-06, + "loss": 0.8476, + "step": 22178 + }, + { + "epoch": 0.52, + "grad_norm": 1.6961345017812453, + "learning_rate": 9.756613937171669e-06, + "loss": 0.9244, + "step": 22179 + }, + { + "epoch": 0.52, + "grad_norm": 1.816914637158217, + "learning_rate": 9.755851122854553e-06, + "loss": 0.7588, + "step": 22180 + }, + { + "epoch": 0.52, + "grad_norm": 3.248452267699518, + "learning_rate": 9.755088309958949e-06, + "loss": 0.7837, + "step": 22181 + }, + { + "epoch": 0.52, + "grad_norm": 1.661157737601841, + "learning_rate": 9.7543254984893e-06, + "loss": 0.767, + "step": 22182 + }, + { + "epoch": 0.52, + "grad_norm": 0.8004116315639699, + "learning_rate": 9.753562688450047e-06, + "loss": 0.7637, + "step": 22183 + }, + { + "epoch": 0.52, + "grad_norm": 1.609340272722338, + "learning_rate": 9.752799879845624e-06, + "loss": 0.8938, + "step": 22184 + }, + { + "epoch": 0.52, + "grad_norm": 1.652523625512458, + "learning_rate": 9.752037072680484e-06, + "loss": 0.9007, + "step": 22185 + }, + { + "epoch": 0.52, + "grad_norm": 1.6483492513192721, + "learning_rate": 9.751274266959064e-06, + "loss": 0.9156, + "step": 22186 + }, + { + "epoch": 0.52, + "grad_norm": 1.50502009062703, + "learning_rate": 9.7505114626858e-06, + "loss": 0.7483, + "step": 22187 + }, + { + "epoch": 0.52, + "grad_norm": 1.820409375307161, + "learning_rate": 9.749748659865136e-06, + "loss": 0.8237, + "step": 22188 + }, + { + "epoch": 0.52, + "grad_norm": 1.6386871539116588, + "learning_rate": 9.74898585850152e-06, + "loss": 0.9581, + "step": 22189 + }, + { + "epoch": 0.52, + "grad_norm": 1.979557501968502, + "learning_rate": 9.748223058599383e-06, + "loss": 0.8545, + "step": 22190 + }, + { + "epoch": 0.52, + "grad_norm": 1.5804877630815566, + "learning_rate": 9.747460260163173e-06, + "loss": 1.0682, + "step": 22191 + }, + { + "epoch": 0.52, + "grad_norm": 1.5822464280574526, + "learning_rate": 9.746697463197327e-06, + "loss": 0.8218, + "step": 22192 + }, + { + "epoch": 0.52, + "grad_norm": 2.117486697777253, + "learning_rate": 9.745934667706291e-06, + "loss": 0.9296, + "step": 22193 + }, + { + "epoch": 0.52, + "grad_norm": 1.778208724423302, + "learning_rate": 9.745171873694504e-06, + "loss": 0.887, + "step": 22194 + }, + { + "epoch": 0.52, + "grad_norm": 1.880631312517983, + "learning_rate": 9.744409081166406e-06, + "loss": 0.8, + "step": 22195 + }, + { + "epoch": 0.52, + "grad_norm": 9.261324115928604, + "learning_rate": 9.743646290126444e-06, + "loss": 0.8148, + "step": 22196 + }, + { + "epoch": 0.52, + "grad_norm": 1.7260952495854411, + "learning_rate": 9.742883500579046e-06, + "loss": 0.7394, + "step": 22197 + }, + { + "epoch": 0.52, + "grad_norm": 1.6771891923515654, + "learning_rate": 9.742120712528665e-06, + "loss": 0.7988, + "step": 22198 + }, + { + "epoch": 0.52, + "grad_norm": 1.7257979929896436, + "learning_rate": 9.741357925979737e-06, + "loss": 1.0087, + "step": 22199 + }, + { + "epoch": 0.52, + "grad_norm": 1.6147759247250066, + "learning_rate": 9.740595140936714e-06, + "loss": 0.7838, + "step": 22200 + }, + { + "epoch": 0.52, + "grad_norm": 1.88487761203714, + "learning_rate": 9.73983235740402e-06, + "loss": 0.8792, + "step": 22201 + }, + { + "epoch": 0.52, + "grad_norm": 1.5665314386267353, + "learning_rate": 9.739069575386105e-06, + "loss": 0.9083, + "step": 22202 + }, + { + "epoch": 0.52, + "grad_norm": 2.0792303889790853, + "learning_rate": 9.738306794887413e-06, + "loss": 0.843, + "step": 22203 + }, + { + "epoch": 0.52, + "grad_norm": 1.6887979934574875, + "learning_rate": 9.73754401591238e-06, + "loss": 0.9197, + "step": 22204 + }, + { + "epoch": 0.52, + "grad_norm": 0.7667894912660032, + "learning_rate": 9.736781238465444e-06, + "loss": 0.7022, + "step": 22205 + }, + { + "epoch": 0.52, + "grad_norm": 1.766734087781375, + "learning_rate": 9.736018462551057e-06, + "loss": 0.8685, + "step": 22206 + }, + { + "epoch": 0.52, + "grad_norm": 2.6559486748335326, + "learning_rate": 9.735255688173654e-06, + "loss": 0.8819, + "step": 22207 + }, + { + "epoch": 0.52, + "grad_norm": 1.5768575610100701, + "learning_rate": 9.734492915337675e-06, + "loss": 0.9377, + "step": 22208 + }, + { + "epoch": 0.52, + "grad_norm": 1.5505054808626604, + "learning_rate": 9.733730144047558e-06, + "loss": 0.8302, + "step": 22209 + }, + { + "epoch": 0.52, + "grad_norm": 1.5825033164598712, + "learning_rate": 9.732967374307755e-06, + "loss": 0.7424, + "step": 22210 + }, + { + "epoch": 0.52, + "grad_norm": 1.5946887172990167, + "learning_rate": 9.732204606122698e-06, + "loss": 0.784, + "step": 22211 + }, + { + "epoch": 0.52, + "grad_norm": 2.0822045140101633, + "learning_rate": 9.731441839496828e-06, + "loss": 0.8301, + "step": 22212 + }, + { + "epoch": 0.52, + "grad_norm": 1.55570158221731, + "learning_rate": 9.73067907443459e-06, + "loss": 0.8734, + "step": 22213 + }, + { + "epoch": 0.52, + "grad_norm": 1.5457870187357017, + "learning_rate": 9.729916310940427e-06, + "loss": 0.8349, + "step": 22214 + }, + { + "epoch": 0.52, + "grad_norm": 1.5203299026311656, + "learning_rate": 9.729153549018775e-06, + "loss": 0.9749, + "step": 22215 + }, + { + "epoch": 0.52, + "grad_norm": 1.5856402405144354, + "learning_rate": 9.728390788674074e-06, + "loss": 0.819, + "step": 22216 + }, + { + "epoch": 0.52, + "grad_norm": 1.4692954616126053, + "learning_rate": 9.727628029910774e-06, + "loss": 0.7932, + "step": 22217 + }, + { + "epoch": 0.52, + "grad_norm": 3.6471212096177976, + "learning_rate": 9.726865272733304e-06, + "loss": 0.8301, + "step": 22218 + }, + { + "epoch": 0.52, + "grad_norm": 1.339016400304775, + "learning_rate": 9.726102517146112e-06, + "loss": 0.8667, + "step": 22219 + }, + { + "epoch": 0.52, + "grad_norm": 1.740189327270109, + "learning_rate": 9.725339763153636e-06, + "loss": 0.7519, + "step": 22220 + }, + { + "epoch": 0.52, + "grad_norm": 1.6422057318799692, + "learning_rate": 9.724577010760324e-06, + "loss": 0.8958, + "step": 22221 + }, + { + "epoch": 0.52, + "grad_norm": 1.455594078458033, + "learning_rate": 9.723814259970608e-06, + "loss": 0.7857, + "step": 22222 + }, + { + "epoch": 0.52, + "grad_norm": 1.575577051158319, + "learning_rate": 9.723051510788934e-06, + "loss": 1.0387, + "step": 22223 + }, + { + "epoch": 0.52, + "grad_norm": 1.7800182310269748, + "learning_rate": 9.722288763219744e-06, + "loss": 0.8658, + "step": 22224 + }, + { + "epoch": 0.52, + "grad_norm": 1.895285033113373, + "learning_rate": 9.721526017267473e-06, + "loss": 0.9021, + "step": 22225 + }, + { + "epoch": 0.52, + "grad_norm": 1.523078787926517, + "learning_rate": 9.720763272936568e-06, + "loss": 0.7956, + "step": 22226 + }, + { + "epoch": 0.52, + "grad_norm": 1.883123041748739, + "learning_rate": 9.720000530231466e-06, + "loss": 0.92, + "step": 22227 + }, + { + "epoch": 0.52, + "grad_norm": 1.5207562094016596, + "learning_rate": 9.719237789156612e-06, + "loss": 0.8433, + "step": 22228 + }, + { + "epoch": 0.52, + "grad_norm": 2.4909930682649977, + "learning_rate": 9.718475049716441e-06, + "loss": 0.9145, + "step": 22229 + }, + { + "epoch": 0.52, + "grad_norm": 1.4673217519744246, + "learning_rate": 9.7177123119154e-06, + "loss": 0.8517, + "step": 22230 + }, + { + "epoch": 0.52, + "grad_norm": 1.7824270773140192, + "learning_rate": 9.71694957575793e-06, + "loss": 0.7931, + "step": 22231 + }, + { + "epoch": 0.52, + "grad_norm": 1.4955185715659618, + "learning_rate": 9.716186841248465e-06, + "loss": 0.796, + "step": 22232 + }, + { + "epoch": 0.52, + "grad_norm": 1.6854203899577425, + "learning_rate": 9.715424108391448e-06, + "loss": 0.8316, + "step": 22233 + }, + { + "epoch": 0.52, + "grad_norm": 1.7345457515184666, + "learning_rate": 9.714661377191324e-06, + "loss": 0.8151, + "step": 22234 + }, + { + "epoch": 0.52, + "grad_norm": 0.7648865492426682, + "learning_rate": 9.713898647652535e-06, + "loss": 0.7123, + "step": 22235 + }, + { + "epoch": 0.52, + "grad_norm": 0.760187874030646, + "learning_rate": 9.713135919779516e-06, + "loss": 0.7471, + "step": 22236 + }, + { + "epoch": 0.52, + "grad_norm": 1.649859587138505, + "learning_rate": 9.712373193576708e-06, + "loss": 0.8726, + "step": 22237 + }, + { + "epoch": 0.52, + "grad_norm": 1.793577092536378, + "learning_rate": 9.71161046904856e-06, + "loss": 0.7898, + "step": 22238 + }, + { + "epoch": 0.52, + "grad_norm": 2.052414993940084, + "learning_rate": 9.710847746199505e-06, + "loss": 0.7534, + "step": 22239 + }, + { + "epoch": 0.52, + "grad_norm": 1.9230796832184631, + "learning_rate": 9.710085025033984e-06, + "loss": 0.7701, + "step": 22240 + }, + { + "epoch": 0.52, + "grad_norm": 1.6353204633680547, + "learning_rate": 9.709322305556438e-06, + "loss": 0.9459, + "step": 22241 + }, + { + "epoch": 0.52, + "grad_norm": 1.526205274506854, + "learning_rate": 9.708559587771316e-06, + "loss": 0.8448, + "step": 22242 + }, + { + "epoch": 0.52, + "grad_norm": 1.5462097511098907, + "learning_rate": 9.707796871683049e-06, + "loss": 0.9071, + "step": 22243 + }, + { + "epoch": 0.52, + "grad_norm": 1.6159657300604677, + "learning_rate": 9.70703415729608e-06, + "loss": 0.8675, + "step": 22244 + }, + { + "epoch": 0.52, + "grad_norm": 1.629936322200382, + "learning_rate": 9.706271444614854e-06, + "loss": 0.9078, + "step": 22245 + }, + { + "epoch": 0.52, + "grad_norm": 0.7703832819501495, + "learning_rate": 9.705508733643805e-06, + "loss": 0.7471, + "step": 22246 + }, + { + "epoch": 0.52, + "grad_norm": 1.6760316494396286, + "learning_rate": 9.704746024387377e-06, + "loss": 0.8868, + "step": 22247 + }, + { + "epoch": 0.52, + "grad_norm": 2.696468646879299, + "learning_rate": 9.703983316850012e-06, + "loss": 0.9301, + "step": 22248 + }, + { + "epoch": 0.52, + "grad_norm": 1.75657388788681, + "learning_rate": 9.703220611036156e-06, + "loss": 0.9151, + "step": 22249 + }, + { + "epoch": 0.52, + "grad_norm": 1.8055128730990442, + "learning_rate": 9.702457906950235e-06, + "loss": 0.8326, + "step": 22250 + }, + { + "epoch": 0.52, + "grad_norm": 1.5704627420550183, + "learning_rate": 9.701695204596702e-06, + "loss": 0.9306, + "step": 22251 + }, + { + "epoch": 0.52, + "grad_norm": 3.5515488643447153, + "learning_rate": 9.700932503979996e-06, + "loss": 0.809, + "step": 22252 + }, + { + "epoch": 0.52, + "grad_norm": 1.4363271101491082, + "learning_rate": 9.700169805104553e-06, + "loss": 0.8639, + "step": 22253 + }, + { + "epoch": 0.52, + "grad_norm": 0.7850807222412011, + "learning_rate": 9.699407107974815e-06, + "loss": 0.6927, + "step": 22254 + }, + { + "epoch": 0.52, + "grad_norm": 1.448791468852079, + "learning_rate": 9.698644412595225e-06, + "loss": 0.7975, + "step": 22255 + }, + { + "epoch": 0.52, + "grad_norm": 1.6021241462752174, + "learning_rate": 9.697881718970226e-06, + "loss": 0.9308, + "step": 22256 + }, + { + "epoch": 0.52, + "grad_norm": 1.5463910265770098, + "learning_rate": 9.697119027104252e-06, + "loss": 0.8927, + "step": 22257 + }, + { + "epoch": 0.52, + "grad_norm": 1.4312615331789997, + "learning_rate": 9.696356337001745e-06, + "loss": 0.8055, + "step": 22258 + }, + { + "epoch": 0.52, + "grad_norm": 1.48368672804185, + "learning_rate": 9.695593648667152e-06, + "loss": 0.9296, + "step": 22259 + }, + { + "epoch": 0.52, + "grad_norm": 1.9820268697844368, + "learning_rate": 9.694830962104907e-06, + "loss": 0.8571, + "step": 22260 + }, + { + "epoch": 0.52, + "grad_norm": 1.5908847586161454, + "learning_rate": 9.694068277319451e-06, + "loss": 0.7899, + "step": 22261 + }, + { + "epoch": 0.52, + "grad_norm": 2.6767887661807976, + "learning_rate": 9.693305594315229e-06, + "loss": 0.9319, + "step": 22262 + }, + { + "epoch": 0.52, + "grad_norm": 3.021937001502307, + "learning_rate": 9.69254291309668e-06, + "loss": 0.8313, + "step": 22263 + }, + { + "epoch": 0.52, + "grad_norm": 1.5820125014686501, + "learning_rate": 9.691780233668241e-06, + "loss": 0.8121, + "step": 22264 + }, + { + "epoch": 0.52, + "grad_norm": 1.5457425657172197, + "learning_rate": 9.691017556034354e-06, + "loss": 0.8587, + "step": 22265 + }, + { + "epoch": 0.52, + "grad_norm": 1.5904676760106606, + "learning_rate": 9.690254880199466e-06, + "loss": 0.9617, + "step": 22266 + }, + { + "epoch": 0.52, + "grad_norm": 1.787779819976917, + "learning_rate": 9.689492206168006e-06, + "loss": 0.8674, + "step": 22267 + }, + { + "epoch": 0.52, + "grad_norm": 1.6323330095110342, + "learning_rate": 9.688729533944423e-06, + "loss": 0.9082, + "step": 22268 + }, + { + "epoch": 0.52, + "grad_norm": 1.8033992270350854, + "learning_rate": 9.687966863533154e-06, + "loss": 0.8122, + "step": 22269 + }, + { + "epoch": 0.52, + "grad_norm": 2.996039505950336, + "learning_rate": 9.687204194938645e-06, + "loss": 0.7997, + "step": 22270 + }, + { + "epoch": 0.52, + "grad_norm": 1.891905958561497, + "learning_rate": 9.686441528165327e-06, + "loss": 0.8911, + "step": 22271 + }, + { + "epoch": 0.52, + "grad_norm": 1.7871590498791214, + "learning_rate": 9.685678863217649e-06, + "loss": 0.8632, + "step": 22272 + }, + { + "epoch": 0.52, + "grad_norm": 1.7653506699701453, + "learning_rate": 9.68491620010005e-06, + "loss": 0.9456, + "step": 22273 + }, + { + "epoch": 0.52, + "grad_norm": 1.8446861095925469, + "learning_rate": 9.684153538816963e-06, + "loss": 0.9014, + "step": 22274 + }, + { + "epoch": 0.52, + "grad_norm": 2.2492501022185194, + "learning_rate": 9.683390879372837e-06, + "loss": 0.8234, + "step": 22275 + }, + { + "epoch": 0.52, + "grad_norm": 1.7749991298716639, + "learning_rate": 9.682628221772109e-06, + "loss": 0.8678, + "step": 22276 + }, + { + "epoch": 0.52, + "grad_norm": 1.651965447128388, + "learning_rate": 9.681865566019224e-06, + "loss": 0.9452, + "step": 22277 + }, + { + "epoch": 0.52, + "grad_norm": 2.2974109088706833, + "learning_rate": 9.68110291211861e-06, + "loss": 0.8933, + "step": 22278 + }, + { + "epoch": 0.52, + "grad_norm": 1.6096607700390708, + "learning_rate": 9.680340260074721e-06, + "loss": 0.8966, + "step": 22279 + }, + { + "epoch": 0.52, + "grad_norm": 1.5763787053159135, + "learning_rate": 9.679577609891994e-06, + "loss": 0.9669, + "step": 22280 + }, + { + "epoch": 0.52, + "grad_norm": 1.4715063027406508, + "learning_rate": 9.678814961574866e-06, + "loss": 0.9243, + "step": 22281 + }, + { + "epoch": 0.52, + "grad_norm": 1.6479162330681723, + "learning_rate": 9.678052315127776e-06, + "loss": 0.8661, + "step": 22282 + }, + { + "epoch": 0.52, + "grad_norm": 1.8825132275719372, + "learning_rate": 9.67728967055517e-06, + "loss": 0.9002, + "step": 22283 + }, + { + "epoch": 0.52, + "grad_norm": 1.7186533611531294, + "learning_rate": 9.676527027861487e-06, + "loss": 0.8656, + "step": 22284 + }, + { + "epoch": 0.53, + "grad_norm": 1.6815903162831338, + "learning_rate": 9.675764387051164e-06, + "loss": 0.8128, + "step": 22285 + }, + { + "epoch": 0.53, + "grad_norm": 1.526180854848109, + "learning_rate": 9.675001748128641e-06, + "loss": 0.8128, + "step": 22286 + }, + { + "epoch": 0.53, + "grad_norm": 1.6174368209216095, + "learning_rate": 9.674239111098367e-06, + "loss": 0.786, + "step": 22287 + }, + { + "epoch": 0.53, + "grad_norm": 1.616182662069702, + "learning_rate": 9.673476475964773e-06, + "loss": 0.8692, + "step": 22288 + }, + { + "epoch": 0.53, + "grad_norm": 1.59851678327866, + "learning_rate": 9.6727138427323e-06, + "loss": 0.7897, + "step": 22289 + }, + { + "epoch": 0.53, + "grad_norm": 1.474006207035954, + "learning_rate": 9.671951211405391e-06, + "loss": 0.7779, + "step": 22290 + }, + { + "epoch": 0.53, + "grad_norm": 1.4143085630355405, + "learning_rate": 9.67118858198849e-06, + "loss": 0.7548, + "step": 22291 + }, + { + "epoch": 0.53, + "grad_norm": 1.4758583498113176, + "learning_rate": 9.67042595448603e-06, + "loss": 0.881, + "step": 22292 + }, + { + "epoch": 0.53, + "grad_norm": 0.762327268505107, + "learning_rate": 9.669663328902455e-06, + "loss": 0.7539, + "step": 22293 + }, + { + "epoch": 0.53, + "grad_norm": 2.7650526474097377, + "learning_rate": 9.668900705242208e-06, + "loss": 0.9856, + "step": 22294 + }, + { + "epoch": 0.53, + "grad_norm": 1.9080859452593055, + "learning_rate": 9.66813808350972e-06, + "loss": 0.7894, + "step": 22295 + }, + { + "epoch": 0.53, + "grad_norm": 1.7008265660890098, + "learning_rate": 9.66737546370944e-06, + "loss": 0.841, + "step": 22296 + }, + { + "epoch": 0.53, + "grad_norm": 1.8887091119258979, + "learning_rate": 9.666612845845803e-06, + "loss": 0.9179, + "step": 22297 + }, + { + "epoch": 0.53, + "grad_norm": 1.714164831886229, + "learning_rate": 9.665850229923258e-06, + "loss": 0.9347, + "step": 22298 + }, + { + "epoch": 0.53, + "grad_norm": 1.5495849465725091, + "learning_rate": 9.665087615946231e-06, + "loss": 0.7697, + "step": 22299 + }, + { + "epoch": 0.53, + "grad_norm": 1.5075195702291282, + "learning_rate": 9.664325003919176e-06, + "loss": 0.9218, + "step": 22300 + }, + { + "epoch": 0.53, + "grad_norm": 2.0438361673300127, + "learning_rate": 9.66356239384652e-06, + "loss": 0.8524, + "step": 22301 + }, + { + "epoch": 0.53, + "grad_norm": 1.775793351005592, + "learning_rate": 9.66279978573272e-06, + "loss": 0.8803, + "step": 22302 + }, + { + "epoch": 0.53, + "grad_norm": 1.8852426071916437, + "learning_rate": 9.662037179582199e-06, + "loss": 0.8937, + "step": 22303 + }, + { + "epoch": 0.53, + "grad_norm": 1.842237624416008, + "learning_rate": 9.661274575399406e-06, + "loss": 0.9354, + "step": 22304 + }, + { + "epoch": 0.53, + "grad_norm": 1.655080125113747, + "learning_rate": 9.660511973188783e-06, + "loss": 0.7749, + "step": 22305 + }, + { + "epoch": 0.53, + "grad_norm": 1.8699668920682677, + "learning_rate": 9.659749372954764e-06, + "loss": 0.936, + "step": 22306 + }, + { + "epoch": 0.53, + "grad_norm": 0.8088711460047762, + "learning_rate": 9.65898677470179e-06, + "loss": 0.791, + "step": 22307 + }, + { + "epoch": 0.53, + "grad_norm": 1.5448266737849572, + "learning_rate": 9.658224178434305e-06, + "loss": 0.8718, + "step": 22308 + }, + { + "epoch": 0.53, + "grad_norm": 1.87399178899894, + "learning_rate": 9.657461584156748e-06, + "loss": 0.8107, + "step": 22309 + }, + { + "epoch": 0.53, + "grad_norm": 1.5599968521902816, + "learning_rate": 9.656698991873555e-06, + "loss": 0.8533, + "step": 22310 + }, + { + "epoch": 0.53, + "grad_norm": 1.4890256350332696, + "learning_rate": 9.655936401589173e-06, + "loss": 0.8422, + "step": 22311 + }, + { + "epoch": 0.53, + "grad_norm": 1.471973521662684, + "learning_rate": 9.655173813308037e-06, + "loss": 0.8264, + "step": 22312 + }, + { + "epoch": 0.53, + "grad_norm": 1.5898203163051392, + "learning_rate": 9.654411227034588e-06, + "loss": 0.9039, + "step": 22313 + }, + { + "epoch": 0.53, + "grad_norm": 1.6616129150022592, + "learning_rate": 9.653648642773264e-06, + "loss": 0.8801, + "step": 22314 + }, + { + "epoch": 0.53, + "grad_norm": 1.608354632411386, + "learning_rate": 9.652886060528509e-06, + "loss": 0.8261, + "step": 22315 + }, + { + "epoch": 0.53, + "grad_norm": 1.5384889144964284, + "learning_rate": 9.652123480304764e-06, + "loss": 0.8189, + "step": 22316 + }, + { + "epoch": 0.53, + "grad_norm": 1.6055350198245277, + "learning_rate": 9.651360902106463e-06, + "loss": 0.8445, + "step": 22317 + }, + { + "epoch": 0.53, + "grad_norm": 1.5753927607979108, + "learning_rate": 9.650598325938048e-06, + "loss": 1.0039, + "step": 22318 + }, + { + "epoch": 0.53, + "grad_norm": 1.5133296244496006, + "learning_rate": 9.649835751803965e-06, + "loss": 0.9052, + "step": 22319 + }, + { + "epoch": 0.53, + "grad_norm": 1.8455919350203012, + "learning_rate": 9.649073179708646e-06, + "loss": 0.8825, + "step": 22320 + }, + { + "epoch": 0.53, + "grad_norm": 1.5198627278116459, + "learning_rate": 9.648310609656534e-06, + "loss": 0.9794, + "step": 22321 + }, + { + "epoch": 0.53, + "grad_norm": 1.6519944310549084, + "learning_rate": 9.647548041652066e-06, + "loss": 0.8737, + "step": 22322 + }, + { + "epoch": 0.53, + "grad_norm": 1.361470403387042, + "learning_rate": 9.646785475699691e-06, + "loss": 0.8078, + "step": 22323 + }, + { + "epoch": 0.53, + "grad_norm": 1.919550001381677, + "learning_rate": 9.64602291180384e-06, + "loss": 0.911, + "step": 22324 + }, + { + "epoch": 0.53, + "grad_norm": 1.8676974143539375, + "learning_rate": 9.645260349968955e-06, + "loss": 0.9612, + "step": 22325 + }, + { + "epoch": 0.53, + "grad_norm": 1.6665066550295302, + "learning_rate": 9.644497790199478e-06, + "loss": 0.9023, + "step": 22326 + }, + { + "epoch": 0.53, + "grad_norm": 1.99007702680479, + "learning_rate": 9.643735232499846e-06, + "loss": 0.8279, + "step": 22327 + }, + { + "epoch": 0.53, + "grad_norm": 1.47513085665002, + "learning_rate": 9.6429726768745e-06, + "loss": 0.823, + "step": 22328 + }, + { + "epoch": 0.53, + "grad_norm": 2.3685930944807536, + "learning_rate": 9.642210123327882e-06, + "loss": 0.9569, + "step": 22329 + }, + { + "epoch": 0.53, + "grad_norm": 1.5540142773606564, + "learning_rate": 9.641447571864429e-06, + "loss": 0.7126, + "step": 22330 + }, + { + "epoch": 0.53, + "grad_norm": 1.6005959907245693, + "learning_rate": 9.64068502248858e-06, + "loss": 0.933, + "step": 22331 + }, + { + "epoch": 0.53, + "grad_norm": 1.69548961425907, + "learning_rate": 9.639922475204778e-06, + "loss": 0.801, + "step": 22332 + }, + { + "epoch": 0.53, + "grad_norm": 1.6057042898791956, + "learning_rate": 9.639159930017465e-06, + "loss": 0.9489, + "step": 22333 + }, + { + "epoch": 0.53, + "grad_norm": 1.9134515020378517, + "learning_rate": 9.638397386931072e-06, + "loss": 0.8731, + "step": 22334 + }, + { + "epoch": 0.53, + "grad_norm": 1.6327320248305446, + "learning_rate": 9.637634845950043e-06, + "loss": 0.8151, + "step": 22335 + }, + { + "epoch": 0.53, + "grad_norm": 0.7796684127473049, + "learning_rate": 9.636872307078821e-06, + "loss": 0.7216, + "step": 22336 + }, + { + "epoch": 0.53, + "grad_norm": 1.5009390689844495, + "learning_rate": 9.636109770321846e-06, + "loss": 0.8601, + "step": 22337 + }, + { + "epoch": 0.53, + "grad_norm": 1.5530598263008262, + "learning_rate": 9.635347235683552e-06, + "loss": 1.0009, + "step": 22338 + }, + { + "epoch": 0.53, + "grad_norm": 1.6967282889842794, + "learning_rate": 9.634584703168381e-06, + "loss": 0.7928, + "step": 22339 + }, + { + "epoch": 0.53, + "grad_norm": 1.5138056113591296, + "learning_rate": 9.633822172780778e-06, + "loss": 0.7936, + "step": 22340 + }, + { + "epoch": 0.53, + "grad_norm": 1.5341612308543575, + "learning_rate": 9.633059644525175e-06, + "loss": 0.8531, + "step": 22341 + }, + { + "epoch": 0.53, + "grad_norm": 1.5892100964628253, + "learning_rate": 9.632297118406015e-06, + "loss": 0.9048, + "step": 22342 + }, + { + "epoch": 0.53, + "grad_norm": 1.7988268872971527, + "learning_rate": 9.631534594427735e-06, + "loss": 0.9597, + "step": 22343 + }, + { + "epoch": 0.53, + "grad_norm": 1.6757157125084283, + "learning_rate": 9.630772072594784e-06, + "loss": 0.8487, + "step": 22344 + }, + { + "epoch": 0.53, + "grad_norm": 1.7730720219963516, + "learning_rate": 9.63000955291159e-06, + "loss": 0.9589, + "step": 22345 + }, + { + "epoch": 0.53, + "grad_norm": 1.743750007907229, + "learning_rate": 9.629247035382597e-06, + "loss": 0.8012, + "step": 22346 + }, + { + "epoch": 0.53, + "grad_norm": 1.598726106667086, + "learning_rate": 9.62848452001225e-06, + "loss": 0.927, + "step": 22347 + }, + { + "epoch": 0.53, + "grad_norm": 1.456231543248824, + "learning_rate": 9.627722006804977e-06, + "loss": 0.7941, + "step": 22348 + }, + { + "epoch": 0.53, + "grad_norm": 1.6050941613356056, + "learning_rate": 9.626959495765229e-06, + "loss": 0.8718, + "step": 22349 + }, + { + "epoch": 0.53, + "grad_norm": 1.7280239921770688, + "learning_rate": 9.626196986897437e-06, + "loss": 0.8087, + "step": 22350 + }, + { + "epoch": 0.53, + "grad_norm": 1.7298372511809037, + "learning_rate": 9.62543448020605e-06, + "loss": 0.8621, + "step": 22351 + }, + { + "epoch": 0.53, + "grad_norm": 1.6411695805156803, + "learning_rate": 9.624671975695497e-06, + "loss": 0.8543, + "step": 22352 + }, + { + "epoch": 0.53, + "grad_norm": 1.7550350636221215, + "learning_rate": 9.623909473370225e-06, + "loss": 0.8768, + "step": 22353 + }, + { + "epoch": 0.53, + "grad_norm": 1.4583347496791472, + "learning_rate": 9.623146973234673e-06, + "loss": 0.8242, + "step": 22354 + }, + { + "epoch": 0.53, + "grad_norm": 1.7493476783783901, + "learning_rate": 9.622384475293278e-06, + "loss": 1.0209, + "step": 22355 + }, + { + "epoch": 0.53, + "grad_norm": 1.9632454440533456, + "learning_rate": 9.621621979550475e-06, + "loss": 0.7947, + "step": 22356 + }, + { + "epoch": 0.53, + "grad_norm": 1.533077095252002, + "learning_rate": 9.620859486010713e-06, + "loss": 0.9735, + "step": 22357 + }, + { + "epoch": 0.53, + "grad_norm": 1.76332723984635, + "learning_rate": 9.620096994678429e-06, + "loss": 0.8742, + "step": 22358 + }, + { + "epoch": 0.53, + "grad_norm": 1.5816964352962677, + "learning_rate": 9.619334505558055e-06, + "loss": 0.9189, + "step": 22359 + }, + { + "epoch": 0.53, + "grad_norm": 1.3724895544726732, + "learning_rate": 9.618572018654039e-06, + "loss": 0.8603, + "step": 22360 + }, + { + "epoch": 0.53, + "grad_norm": 1.5833152868622482, + "learning_rate": 9.61780953397082e-06, + "loss": 0.7919, + "step": 22361 + }, + { + "epoch": 0.53, + "grad_norm": 1.8494057523581957, + "learning_rate": 9.617047051512832e-06, + "loss": 0.8017, + "step": 22362 + }, + { + "epoch": 0.53, + "grad_norm": 1.5885017558519303, + "learning_rate": 9.616284571284515e-06, + "loss": 0.9651, + "step": 22363 + }, + { + "epoch": 0.53, + "grad_norm": 1.5767235115948852, + "learning_rate": 9.615522093290313e-06, + "loss": 0.8612, + "step": 22364 + }, + { + "epoch": 0.53, + "grad_norm": 0.7653445385607536, + "learning_rate": 9.614759617534665e-06, + "loss": 0.7092, + "step": 22365 + }, + { + "epoch": 0.53, + "grad_norm": 1.6761793314390492, + "learning_rate": 9.613997144022006e-06, + "loss": 0.7886, + "step": 22366 + }, + { + "epoch": 0.53, + "grad_norm": 1.5482577741745038, + "learning_rate": 9.613234672756777e-06, + "loss": 0.9521, + "step": 22367 + }, + { + "epoch": 0.53, + "grad_norm": 1.6448684624714978, + "learning_rate": 9.612472203743423e-06, + "loss": 0.8561, + "step": 22368 + }, + { + "epoch": 0.53, + "grad_norm": 1.5524940647396532, + "learning_rate": 9.611709736986375e-06, + "loss": 0.8752, + "step": 22369 + }, + { + "epoch": 0.53, + "grad_norm": 1.6051929400587177, + "learning_rate": 9.610947272490077e-06, + "loss": 0.9832, + "step": 22370 + }, + { + "epoch": 0.53, + "grad_norm": 0.7514772906575442, + "learning_rate": 9.610184810258964e-06, + "loss": 0.6954, + "step": 22371 + }, + { + "epoch": 0.53, + "grad_norm": 1.6713157264561371, + "learning_rate": 9.609422350297482e-06, + "loss": 0.9493, + "step": 22372 + }, + { + "epoch": 0.53, + "grad_norm": 1.4972857295334765, + "learning_rate": 9.608659892610067e-06, + "loss": 0.9012, + "step": 22373 + }, + { + "epoch": 0.53, + "grad_norm": 1.5527224503515102, + "learning_rate": 9.607897437201155e-06, + "loss": 0.7627, + "step": 22374 + }, + { + "epoch": 0.53, + "grad_norm": 1.4805862190371024, + "learning_rate": 9.607134984075193e-06, + "loss": 0.8767, + "step": 22375 + }, + { + "epoch": 0.53, + "grad_norm": 1.7334734663877485, + "learning_rate": 9.60637253323661e-06, + "loss": 0.8288, + "step": 22376 + }, + { + "epoch": 0.53, + "grad_norm": 1.6959240882222124, + "learning_rate": 9.605610084689853e-06, + "loss": 0.8076, + "step": 22377 + }, + { + "epoch": 0.53, + "grad_norm": 1.5668596431058335, + "learning_rate": 9.604847638439358e-06, + "loss": 0.8318, + "step": 22378 + }, + { + "epoch": 0.53, + "grad_norm": 0.7753668495888347, + "learning_rate": 9.604085194489568e-06, + "loss": 0.7274, + "step": 22379 + }, + { + "epoch": 0.53, + "grad_norm": 2.053758979075376, + "learning_rate": 9.603322752844917e-06, + "loss": 0.8015, + "step": 22380 + }, + { + "epoch": 0.53, + "grad_norm": 1.6775990381148604, + "learning_rate": 9.602560313509846e-06, + "loss": 0.8773, + "step": 22381 + }, + { + "epoch": 0.53, + "grad_norm": 1.493809416235298, + "learning_rate": 9.601797876488798e-06, + "loss": 0.8481, + "step": 22382 + }, + { + "epoch": 0.53, + "grad_norm": 1.7869374323426959, + "learning_rate": 9.601035441786206e-06, + "loss": 0.7786, + "step": 22383 + }, + { + "epoch": 0.53, + "grad_norm": 1.6917086032235973, + "learning_rate": 9.60027300940651e-06, + "loss": 1.0284, + "step": 22384 + }, + { + "epoch": 0.53, + "grad_norm": 1.6964625193785907, + "learning_rate": 9.599510579354153e-06, + "loss": 0.8301, + "step": 22385 + }, + { + "epoch": 0.53, + "grad_norm": 1.6491029991926653, + "learning_rate": 9.598748151633576e-06, + "loss": 0.8268, + "step": 22386 + }, + { + "epoch": 0.53, + "grad_norm": 0.7487197080301079, + "learning_rate": 9.597985726249211e-06, + "loss": 0.7462, + "step": 22387 + }, + { + "epoch": 0.53, + "grad_norm": 1.8947680495856851, + "learning_rate": 9.5972233032055e-06, + "loss": 0.8534, + "step": 22388 + }, + { + "epoch": 0.53, + "grad_norm": 1.7728911914721783, + "learning_rate": 9.596460882506885e-06, + "loss": 0.7806, + "step": 22389 + }, + { + "epoch": 0.53, + "grad_norm": 1.540884100340958, + "learning_rate": 9.595698464157799e-06, + "loss": 0.9801, + "step": 22390 + }, + { + "epoch": 0.53, + "grad_norm": 1.630071045223335, + "learning_rate": 9.594936048162685e-06, + "loss": 0.7799, + "step": 22391 + }, + { + "epoch": 0.53, + "grad_norm": 2.293536403708175, + "learning_rate": 9.59417363452598e-06, + "loss": 0.8083, + "step": 22392 + }, + { + "epoch": 0.53, + "grad_norm": 1.7314271758008268, + "learning_rate": 9.59341122325213e-06, + "loss": 0.8923, + "step": 22393 + }, + { + "epoch": 0.53, + "grad_norm": 1.7746242128346643, + "learning_rate": 9.592648814345565e-06, + "loss": 0.8011, + "step": 22394 + }, + { + "epoch": 0.53, + "grad_norm": 1.741752766509117, + "learning_rate": 9.591886407810727e-06, + "loss": 0.8884, + "step": 22395 + }, + { + "epoch": 0.53, + "grad_norm": 1.5048817429037458, + "learning_rate": 9.591124003652062e-06, + "loss": 0.8582, + "step": 22396 + }, + { + "epoch": 0.53, + "grad_norm": 1.5435008798466245, + "learning_rate": 9.590361601873994e-06, + "loss": 0.8788, + "step": 22397 + }, + { + "epoch": 0.53, + "grad_norm": 1.5845412133701273, + "learning_rate": 9.589599202480974e-06, + "loss": 0.7993, + "step": 22398 + }, + { + "epoch": 0.53, + "grad_norm": 1.5470360448909874, + "learning_rate": 9.588836805477435e-06, + "loss": 0.9343, + "step": 22399 + }, + { + "epoch": 0.53, + "grad_norm": 1.4883233865434053, + "learning_rate": 9.588074410867825e-06, + "loss": 0.8528, + "step": 22400 + }, + { + "epoch": 0.53, + "grad_norm": 1.7836267161706356, + "learning_rate": 9.587312018656568e-06, + "loss": 0.7625, + "step": 22401 + }, + { + "epoch": 0.53, + "grad_norm": 1.6677813896899731, + "learning_rate": 9.586549628848115e-06, + "loss": 0.9718, + "step": 22402 + }, + { + "epoch": 0.53, + "grad_norm": 1.6315775986354348, + "learning_rate": 9.585787241446903e-06, + "loss": 0.8604, + "step": 22403 + }, + { + "epoch": 0.53, + "grad_norm": 1.568039811815096, + "learning_rate": 9.585024856457367e-06, + "loss": 0.9158, + "step": 22404 + }, + { + "epoch": 0.53, + "grad_norm": 1.5937616550028744, + "learning_rate": 9.584262473883945e-06, + "loss": 0.9201, + "step": 22405 + }, + { + "epoch": 0.53, + "grad_norm": 1.8410354060135339, + "learning_rate": 9.58350009373108e-06, + "loss": 0.9069, + "step": 22406 + }, + { + "epoch": 0.53, + "grad_norm": 1.5620433852644362, + "learning_rate": 9.582737716003212e-06, + "loss": 0.7995, + "step": 22407 + }, + { + "epoch": 0.53, + "grad_norm": 0.7778373293103535, + "learning_rate": 9.581975340704772e-06, + "loss": 0.7542, + "step": 22408 + }, + { + "epoch": 0.53, + "grad_norm": 1.48855950557866, + "learning_rate": 9.581212967840208e-06, + "loss": 0.8573, + "step": 22409 + }, + { + "epoch": 0.53, + "grad_norm": 1.9107998977147926, + "learning_rate": 9.580450597413955e-06, + "loss": 0.9466, + "step": 22410 + }, + { + "epoch": 0.53, + "grad_norm": 1.5558140611517581, + "learning_rate": 9.57968822943045e-06, + "loss": 0.8702, + "step": 22411 + }, + { + "epoch": 0.53, + "grad_norm": 1.5772486141332138, + "learning_rate": 9.578925863894132e-06, + "loss": 0.8221, + "step": 22412 + }, + { + "epoch": 0.53, + "grad_norm": 1.5728937604710733, + "learning_rate": 9.578163500809443e-06, + "loss": 0.9269, + "step": 22413 + }, + { + "epoch": 0.53, + "grad_norm": 1.8209347465441426, + "learning_rate": 9.577401140180819e-06, + "loss": 0.9135, + "step": 22414 + }, + { + "epoch": 0.53, + "grad_norm": 1.5943060823645068, + "learning_rate": 9.5766387820127e-06, + "loss": 0.8315, + "step": 22415 + }, + { + "epoch": 0.53, + "grad_norm": 1.8057579637430867, + "learning_rate": 9.575876426309521e-06, + "loss": 0.85, + "step": 22416 + }, + { + "epoch": 0.53, + "grad_norm": 1.6013463526848308, + "learning_rate": 9.575114073075729e-06, + "loss": 0.8344, + "step": 22417 + }, + { + "epoch": 0.53, + "grad_norm": 1.6298236973697666, + "learning_rate": 9.574351722315754e-06, + "loss": 0.8573, + "step": 22418 + }, + { + "epoch": 0.53, + "grad_norm": 1.5712635179420544, + "learning_rate": 9.573589374034038e-06, + "loss": 0.9337, + "step": 22419 + }, + { + "epoch": 0.53, + "grad_norm": 1.6459938441372641, + "learning_rate": 9.572827028235018e-06, + "loss": 0.8792, + "step": 22420 + }, + { + "epoch": 0.53, + "grad_norm": 1.7535494581893027, + "learning_rate": 9.572064684923138e-06, + "loss": 0.8439, + "step": 22421 + }, + { + "epoch": 0.53, + "grad_norm": 1.7699209395606954, + "learning_rate": 9.57130234410283e-06, + "loss": 0.8809, + "step": 22422 + }, + { + "epoch": 0.53, + "grad_norm": 1.669954605123381, + "learning_rate": 9.570540005778539e-06, + "loss": 0.8496, + "step": 22423 + }, + { + "epoch": 0.53, + "grad_norm": 1.6280322925183102, + "learning_rate": 9.569777669954694e-06, + "loss": 0.9168, + "step": 22424 + }, + { + "epoch": 0.53, + "grad_norm": 0.7613970551199118, + "learning_rate": 9.569015336635746e-06, + "loss": 0.7189, + "step": 22425 + }, + { + "epoch": 0.53, + "grad_norm": 1.6725034119377278, + "learning_rate": 9.568253005826124e-06, + "loss": 0.7649, + "step": 22426 + }, + { + "epoch": 0.53, + "grad_norm": 1.5907880332753046, + "learning_rate": 9.56749067753027e-06, + "loss": 0.7672, + "step": 22427 + }, + { + "epoch": 0.53, + "grad_norm": 1.8882160427052863, + "learning_rate": 9.566728351752626e-06, + "loss": 0.8488, + "step": 22428 + }, + { + "epoch": 0.53, + "grad_norm": 1.652200797699078, + "learning_rate": 9.56596602849762e-06, + "loss": 1.0362, + "step": 22429 + }, + { + "epoch": 0.53, + "grad_norm": 1.6621635311886316, + "learning_rate": 9.5652037077697e-06, + "loss": 0.9175, + "step": 22430 + }, + { + "epoch": 0.53, + "grad_norm": 1.7712338155962726, + "learning_rate": 9.5644413895733e-06, + "loss": 0.7895, + "step": 22431 + }, + { + "epoch": 0.53, + "grad_norm": 1.4784695541830206, + "learning_rate": 9.563679073912866e-06, + "loss": 0.8653, + "step": 22432 + }, + { + "epoch": 0.53, + "grad_norm": 1.721936814908092, + "learning_rate": 9.562916760792825e-06, + "loss": 0.8809, + "step": 22433 + }, + { + "epoch": 0.53, + "grad_norm": 1.6536229514133984, + "learning_rate": 9.562154450217623e-06, + "loss": 0.8021, + "step": 22434 + }, + { + "epoch": 0.53, + "grad_norm": 1.656865584467021, + "learning_rate": 9.561392142191698e-06, + "loss": 0.7894, + "step": 22435 + }, + { + "epoch": 0.53, + "grad_norm": 1.7684626663297704, + "learning_rate": 9.560629836719485e-06, + "loss": 0.9495, + "step": 22436 + }, + { + "epoch": 0.53, + "grad_norm": 1.8834323308753007, + "learning_rate": 9.559867533805421e-06, + "loss": 0.7835, + "step": 22437 + }, + { + "epoch": 0.53, + "grad_norm": 1.8820223453975855, + "learning_rate": 9.55910523345395e-06, + "loss": 0.9594, + "step": 22438 + }, + { + "epoch": 0.53, + "grad_norm": 1.5952590465770504, + "learning_rate": 9.558342935669512e-06, + "loss": 0.9467, + "step": 22439 + }, + { + "epoch": 0.53, + "grad_norm": 1.5409028423125826, + "learning_rate": 9.557580640456538e-06, + "loss": 0.8227, + "step": 22440 + }, + { + "epoch": 0.53, + "grad_norm": 1.8395178526092835, + "learning_rate": 9.556818347819467e-06, + "loss": 0.8285, + "step": 22441 + }, + { + "epoch": 0.53, + "grad_norm": 1.6460121850865488, + "learning_rate": 9.556056057762746e-06, + "loss": 0.9647, + "step": 22442 + }, + { + "epoch": 0.53, + "grad_norm": 2.117719314567301, + "learning_rate": 9.555293770290802e-06, + "loss": 0.8891, + "step": 22443 + }, + { + "epoch": 0.53, + "grad_norm": 1.6553236656599948, + "learning_rate": 9.554531485408078e-06, + "loss": 0.9676, + "step": 22444 + }, + { + "epoch": 0.53, + "grad_norm": 1.506862638869524, + "learning_rate": 9.553769203119014e-06, + "loss": 0.9081, + "step": 22445 + }, + { + "epoch": 0.53, + "grad_norm": 1.582942492551136, + "learning_rate": 9.55300692342805e-06, + "loss": 0.8322, + "step": 22446 + }, + { + "epoch": 0.53, + "grad_norm": 0.7479690561936793, + "learning_rate": 9.552244646339619e-06, + "loss": 0.7369, + "step": 22447 + }, + { + "epoch": 0.53, + "grad_norm": 1.4469696768441787, + "learning_rate": 9.55148237185816e-06, + "loss": 0.8731, + "step": 22448 + }, + { + "epoch": 0.53, + "grad_norm": 1.4719207524272073, + "learning_rate": 9.550720099988117e-06, + "loss": 0.8382, + "step": 22449 + }, + { + "epoch": 0.53, + "grad_norm": 1.5746093304214623, + "learning_rate": 9.54995783073392e-06, + "loss": 0.9543, + "step": 22450 + }, + { + "epoch": 0.53, + "grad_norm": 1.6708812125397792, + "learning_rate": 9.54919556410001e-06, + "loss": 0.8459, + "step": 22451 + }, + { + "epoch": 0.53, + "grad_norm": 1.794398414030172, + "learning_rate": 9.548433300090826e-06, + "loss": 0.8257, + "step": 22452 + }, + { + "epoch": 0.53, + "grad_norm": 1.7243886289760837, + "learning_rate": 9.547671038710813e-06, + "loss": 0.8754, + "step": 22453 + }, + { + "epoch": 0.53, + "grad_norm": 1.9733573209838893, + "learning_rate": 9.546908779964394e-06, + "loss": 0.817, + "step": 22454 + }, + { + "epoch": 0.53, + "grad_norm": 1.8948587955248624, + "learning_rate": 9.546146523856021e-06, + "loss": 0.8924, + "step": 22455 + }, + { + "epoch": 0.53, + "grad_norm": 1.4718639937515945, + "learning_rate": 9.545384270390125e-06, + "loss": 0.8759, + "step": 22456 + }, + { + "epoch": 0.53, + "grad_norm": 1.506783148994521, + "learning_rate": 9.544622019571144e-06, + "loss": 0.933, + "step": 22457 + }, + { + "epoch": 0.53, + "grad_norm": 1.5415150679675707, + "learning_rate": 9.543859771403518e-06, + "loss": 0.8117, + "step": 22458 + }, + { + "epoch": 0.53, + "grad_norm": 1.6324187287082426, + "learning_rate": 9.543097525891686e-06, + "loss": 0.96, + "step": 22459 + }, + { + "epoch": 0.53, + "grad_norm": 1.7547627933158496, + "learning_rate": 9.542335283040089e-06, + "loss": 0.8534, + "step": 22460 + }, + { + "epoch": 0.53, + "grad_norm": 1.8547383069479377, + "learning_rate": 9.541573042853153e-06, + "loss": 0.9217, + "step": 22461 + }, + { + "epoch": 0.53, + "grad_norm": 1.8488762878951726, + "learning_rate": 9.540810805335327e-06, + "loss": 1.0077, + "step": 22462 + }, + { + "epoch": 0.53, + "grad_norm": 0.7115068302160497, + "learning_rate": 9.540048570491049e-06, + "loss": 0.7163, + "step": 22463 + }, + { + "epoch": 0.53, + "grad_norm": 0.7427937873080299, + "learning_rate": 9.539286338324753e-06, + "loss": 0.7157, + "step": 22464 + }, + { + "epoch": 0.53, + "grad_norm": 0.73220389891557, + "learning_rate": 9.538524108840873e-06, + "loss": 0.7379, + "step": 22465 + }, + { + "epoch": 0.53, + "grad_norm": 1.6867069524602667, + "learning_rate": 9.537761882043855e-06, + "loss": 0.8609, + "step": 22466 + }, + { + "epoch": 0.53, + "grad_norm": 1.9549457439760487, + "learning_rate": 9.536999657938135e-06, + "loss": 0.9341, + "step": 22467 + }, + { + "epoch": 0.53, + "grad_norm": 0.7300034457995332, + "learning_rate": 9.536237436528148e-06, + "loss": 0.7033, + "step": 22468 + }, + { + "epoch": 0.53, + "grad_norm": 1.7175761105468612, + "learning_rate": 9.535475217818331e-06, + "loss": 0.859, + "step": 22469 + }, + { + "epoch": 0.53, + "grad_norm": 1.8562534075437402, + "learning_rate": 9.534713001813131e-06, + "loss": 0.9155, + "step": 22470 + }, + { + "epoch": 0.53, + "grad_norm": 2.037467680184342, + "learning_rate": 9.533950788516974e-06, + "loss": 0.841, + "step": 22471 + }, + { + "epoch": 0.53, + "grad_norm": 1.5169081555151418, + "learning_rate": 9.533188577934304e-06, + "loss": 0.7017, + "step": 22472 + }, + { + "epoch": 0.53, + "grad_norm": 1.694497874224283, + "learning_rate": 9.532426370069557e-06, + "loss": 0.8769, + "step": 22473 + }, + { + "epoch": 0.53, + "grad_norm": 1.5536182016874978, + "learning_rate": 9.531664164927175e-06, + "loss": 0.8661, + "step": 22474 + }, + { + "epoch": 0.53, + "grad_norm": 1.880908440309415, + "learning_rate": 9.53090196251159e-06, + "loss": 0.8897, + "step": 22475 + }, + { + "epoch": 0.53, + "grad_norm": 1.9104653960432556, + "learning_rate": 9.530139762827243e-06, + "loss": 0.847, + "step": 22476 + }, + { + "epoch": 0.53, + "grad_norm": 1.7538658016756241, + "learning_rate": 9.529377565878571e-06, + "loss": 0.8934, + "step": 22477 + }, + { + "epoch": 0.53, + "grad_norm": 1.491432832069453, + "learning_rate": 9.52861537167001e-06, + "loss": 0.9934, + "step": 22478 + }, + { + "epoch": 0.53, + "grad_norm": 1.7532027368449006, + "learning_rate": 9.527853180206e-06, + "loss": 0.8435, + "step": 22479 + }, + { + "epoch": 0.53, + "grad_norm": 2.619386242279798, + "learning_rate": 9.527090991490977e-06, + "loss": 1.0058, + "step": 22480 + }, + { + "epoch": 0.53, + "grad_norm": 1.7468347193684108, + "learning_rate": 9.526328805529387e-06, + "loss": 0.7867, + "step": 22481 + }, + { + "epoch": 0.53, + "grad_norm": 1.5493121399191043, + "learning_rate": 9.525566622325653e-06, + "loss": 0.8039, + "step": 22482 + }, + { + "epoch": 0.53, + "grad_norm": 2.0557732928538597, + "learning_rate": 9.524804441884224e-06, + "loss": 0.7895, + "step": 22483 + }, + { + "epoch": 0.53, + "grad_norm": 1.5614374687783137, + "learning_rate": 9.524042264209535e-06, + "loss": 0.8456, + "step": 22484 + }, + { + "epoch": 0.53, + "grad_norm": 2.0723760242007687, + "learning_rate": 9.523280089306022e-06, + "loss": 0.7944, + "step": 22485 + }, + { + "epoch": 0.53, + "grad_norm": 1.5721635642452945, + "learning_rate": 9.52251791717812e-06, + "loss": 0.8434, + "step": 22486 + }, + { + "epoch": 0.53, + "grad_norm": 1.7172852258876117, + "learning_rate": 9.52175574783027e-06, + "loss": 0.8878, + "step": 22487 + }, + { + "epoch": 0.53, + "grad_norm": 1.662441556873438, + "learning_rate": 9.520993581266916e-06, + "loss": 0.8859, + "step": 22488 + }, + { + "epoch": 0.53, + "grad_norm": 1.5795599549898696, + "learning_rate": 9.520231417492484e-06, + "loss": 0.7543, + "step": 22489 + }, + { + "epoch": 0.53, + "grad_norm": 1.4804463516160231, + "learning_rate": 9.519469256511415e-06, + "loss": 0.8709, + "step": 22490 + }, + { + "epoch": 0.53, + "grad_norm": 1.626974449262683, + "learning_rate": 9.518707098328152e-06, + "loss": 0.8464, + "step": 22491 + }, + { + "epoch": 0.53, + "grad_norm": 0.7424052781652732, + "learning_rate": 9.517944942947126e-06, + "loss": 0.7043, + "step": 22492 + }, + { + "epoch": 0.53, + "grad_norm": 1.6518612799724077, + "learning_rate": 9.517182790372776e-06, + "loss": 0.9535, + "step": 22493 + }, + { + "epoch": 0.53, + "grad_norm": 1.5812945893152661, + "learning_rate": 9.516420640609541e-06, + "loss": 0.9778, + "step": 22494 + }, + { + "epoch": 0.53, + "grad_norm": 1.7959574521619763, + "learning_rate": 9.515658493661863e-06, + "loss": 0.8483, + "step": 22495 + }, + { + "epoch": 0.53, + "grad_norm": 1.3691958227625352, + "learning_rate": 9.51489634953417e-06, + "loss": 1.0328, + "step": 22496 + }, + { + "epoch": 0.53, + "grad_norm": 0.7883416256512213, + "learning_rate": 9.514134208230904e-06, + "loss": 0.7361, + "step": 22497 + }, + { + "epoch": 0.53, + "grad_norm": 1.5291790613296534, + "learning_rate": 9.513372069756508e-06, + "loss": 0.9866, + "step": 22498 + }, + { + "epoch": 0.53, + "grad_norm": 1.6175354028203592, + "learning_rate": 9.512609934115407e-06, + "loss": 0.8959, + "step": 22499 + }, + { + "epoch": 0.53, + "grad_norm": 2.0558129036851613, + "learning_rate": 9.511847801312048e-06, + "loss": 0.898, + "step": 22500 + }, + { + "epoch": 0.53, + "grad_norm": 2.0121118269433573, + "learning_rate": 9.511085671350864e-06, + "loss": 0.8879, + "step": 22501 + }, + { + "epoch": 0.53, + "grad_norm": 1.5861789156711417, + "learning_rate": 9.510323544236298e-06, + "loss": 0.9296, + "step": 22502 + }, + { + "epoch": 0.53, + "grad_norm": 1.5229028458023415, + "learning_rate": 9.50956141997278e-06, + "loss": 0.8293, + "step": 22503 + }, + { + "epoch": 0.53, + "grad_norm": 1.7023486830506456, + "learning_rate": 9.508799298564753e-06, + "loss": 0.8987, + "step": 22504 + }, + { + "epoch": 0.53, + "grad_norm": 1.4869492378703533, + "learning_rate": 9.508037180016652e-06, + "loss": 0.9793, + "step": 22505 + }, + { + "epoch": 0.53, + "grad_norm": 2.331644598221365, + "learning_rate": 9.50727506433291e-06, + "loss": 0.8541, + "step": 22506 + }, + { + "epoch": 0.53, + "grad_norm": 2.8364619774453503, + "learning_rate": 9.506512951517972e-06, + "loss": 0.8144, + "step": 22507 + }, + { + "epoch": 0.53, + "grad_norm": 0.804272359479145, + "learning_rate": 9.50575084157627e-06, + "loss": 0.7798, + "step": 22508 + }, + { + "epoch": 0.53, + "grad_norm": 1.5857798941113872, + "learning_rate": 9.504988734512249e-06, + "loss": 0.8724, + "step": 22509 + }, + { + "epoch": 0.53, + "grad_norm": 1.6214076760291263, + "learning_rate": 9.504226630330333e-06, + "loss": 0.8237, + "step": 22510 + }, + { + "epoch": 0.53, + "grad_norm": 1.655352644973387, + "learning_rate": 9.503464529034967e-06, + "loss": 0.8427, + "step": 22511 + }, + { + "epoch": 0.53, + "grad_norm": 1.758097716941435, + "learning_rate": 9.502702430630593e-06, + "loss": 0.8202, + "step": 22512 + }, + { + "epoch": 0.53, + "grad_norm": 1.5054901321824152, + "learning_rate": 9.50194033512164e-06, + "loss": 0.8587, + "step": 22513 + }, + { + "epoch": 0.53, + "grad_norm": 1.7544304243586455, + "learning_rate": 9.501178242512546e-06, + "loss": 0.9455, + "step": 22514 + }, + { + "epoch": 0.53, + "grad_norm": 2.7231682949634988, + "learning_rate": 9.500416152807752e-06, + "loss": 0.7685, + "step": 22515 + }, + { + "epoch": 0.53, + "grad_norm": 1.576831381239745, + "learning_rate": 9.499654066011696e-06, + "loss": 0.9845, + "step": 22516 + }, + { + "epoch": 0.53, + "grad_norm": 0.7794363899078581, + "learning_rate": 9.498891982128809e-06, + "loss": 0.7662, + "step": 22517 + }, + { + "epoch": 0.53, + "grad_norm": 1.7942903752491497, + "learning_rate": 9.49812990116353e-06, + "loss": 0.8683, + "step": 22518 + }, + { + "epoch": 0.53, + "grad_norm": 1.4280982756659175, + "learning_rate": 9.497367823120302e-06, + "loss": 0.8645, + "step": 22519 + }, + { + "epoch": 0.53, + "grad_norm": 0.718981149204738, + "learning_rate": 9.496605748003556e-06, + "loss": 0.7266, + "step": 22520 + }, + { + "epoch": 0.53, + "grad_norm": 1.7357387156477009, + "learning_rate": 9.49584367581773e-06, + "loss": 0.8109, + "step": 22521 + }, + { + "epoch": 0.53, + "grad_norm": 0.7441103276238848, + "learning_rate": 9.495081606567261e-06, + "loss": 0.6335, + "step": 22522 + }, + { + "epoch": 0.53, + "grad_norm": 1.6302615766673931, + "learning_rate": 9.49431954025659e-06, + "loss": 0.7768, + "step": 22523 + }, + { + "epoch": 0.53, + "grad_norm": 1.4566605417694762, + "learning_rate": 9.493557476890146e-06, + "loss": 0.9186, + "step": 22524 + }, + { + "epoch": 0.53, + "grad_norm": 1.6492130806320677, + "learning_rate": 9.492795416472374e-06, + "loss": 0.8882, + "step": 22525 + }, + { + "epoch": 0.53, + "grad_norm": 1.5336053094878237, + "learning_rate": 9.49203335900771e-06, + "loss": 0.9319, + "step": 22526 + }, + { + "epoch": 0.53, + "grad_norm": 1.9808662118172677, + "learning_rate": 9.491271304500581e-06, + "loss": 0.9058, + "step": 22527 + }, + { + "epoch": 0.53, + "grad_norm": 1.7197070810464443, + "learning_rate": 9.490509252955437e-06, + "loss": 0.8229, + "step": 22528 + }, + { + "epoch": 0.53, + "grad_norm": 1.6612827324759545, + "learning_rate": 9.489747204376707e-06, + "loss": 0.9482, + "step": 22529 + }, + { + "epoch": 0.53, + "grad_norm": 1.4694536906105133, + "learning_rate": 9.488985158768836e-06, + "loss": 0.8595, + "step": 22530 + }, + { + "epoch": 0.53, + "grad_norm": 2.6734929706753, + "learning_rate": 9.488223116136248e-06, + "loss": 0.7535, + "step": 22531 + }, + { + "epoch": 0.53, + "grad_norm": 1.8477634365982827, + "learning_rate": 9.48746107648339e-06, + "loss": 0.8563, + "step": 22532 + }, + { + "epoch": 0.53, + "grad_norm": 1.6433199208674711, + "learning_rate": 9.486699039814698e-06, + "loss": 0.7912, + "step": 22533 + }, + { + "epoch": 0.53, + "grad_norm": 0.8350920823590754, + "learning_rate": 9.485937006134605e-06, + "loss": 0.7293, + "step": 22534 + }, + { + "epoch": 0.53, + "grad_norm": 1.6184617673296724, + "learning_rate": 9.485174975447546e-06, + "loss": 0.7954, + "step": 22535 + }, + { + "epoch": 0.53, + "grad_norm": 0.7679623592382813, + "learning_rate": 9.484412947757965e-06, + "loss": 0.6722, + "step": 22536 + }, + { + "epoch": 0.53, + "grad_norm": 2.4730747047468022, + "learning_rate": 9.483650923070297e-06, + "loss": 0.9571, + "step": 22537 + }, + { + "epoch": 0.53, + "grad_norm": 0.7587901767876875, + "learning_rate": 9.482888901388973e-06, + "loss": 0.7101, + "step": 22538 + }, + { + "epoch": 0.53, + "grad_norm": 1.5336028993190813, + "learning_rate": 9.482126882718433e-06, + "loss": 0.8965, + "step": 22539 + }, + { + "epoch": 0.53, + "grad_norm": 1.5575446523583187, + "learning_rate": 9.481364867063118e-06, + "loss": 0.8199, + "step": 22540 + }, + { + "epoch": 0.53, + "grad_norm": 1.532058391321206, + "learning_rate": 9.48060285442746e-06, + "loss": 0.947, + "step": 22541 + }, + { + "epoch": 0.53, + "grad_norm": 1.7291235238033285, + "learning_rate": 9.479840844815892e-06, + "loss": 0.8644, + "step": 22542 + }, + { + "epoch": 0.53, + "grad_norm": 1.5491982113852318, + "learning_rate": 9.47907883823286e-06, + "loss": 0.7781, + "step": 22543 + }, + { + "epoch": 0.53, + "grad_norm": 1.6483624899086728, + "learning_rate": 9.478316834682798e-06, + "loss": 0.9292, + "step": 22544 + }, + { + "epoch": 0.53, + "grad_norm": 1.5931477398696492, + "learning_rate": 9.477554834170137e-06, + "loss": 0.8135, + "step": 22545 + }, + { + "epoch": 0.53, + "grad_norm": 1.855160364134732, + "learning_rate": 9.476792836699315e-06, + "loss": 0.8326, + "step": 22546 + }, + { + "epoch": 0.53, + "grad_norm": 1.4447098303100294, + "learning_rate": 9.476030842274773e-06, + "loss": 0.7761, + "step": 22547 + }, + { + "epoch": 0.53, + "grad_norm": 1.6709294715841394, + "learning_rate": 9.475268850900947e-06, + "loss": 0.7723, + "step": 22548 + }, + { + "epoch": 0.53, + "grad_norm": 0.7402839665657119, + "learning_rate": 9.47450686258227e-06, + "loss": 0.7127, + "step": 22549 + }, + { + "epoch": 0.53, + "grad_norm": 0.7339518360869042, + "learning_rate": 9.473744877323178e-06, + "loss": 0.658, + "step": 22550 + }, + { + "epoch": 0.53, + "grad_norm": 1.926178251954522, + "learning_rate": 9.472982895128116e-06, + "loss": 0.7588, + "step": 22551 + }, + { + "epoch": 0.53, + "grad_norm": 1.6283770921579586, + "learning_rate": 9.472220916001511e-06, + "loss": 0.7272, + "step": 22552 + }, + { + "epoch": 0.53, + "grad_norm": 1.6488785842506861, + "learning_rate": 9.471458939947804e-06, + "loss": 0.8217, + "step": 22553 + }, + { + "epoch": 0.53, + "grad_norm": 1.975689033697665, + "learning_rate": 9.470696966971427e-06, + "loss": 0.8969, + "step": 22554 + }, + { + "epoch": 0.53, + "grad_norm": 1.5235222821149876, + "learning_rate": 9.469934997076825e-06, + "loss": 0.8983, + "step": 22555 + }, + { + "epoch": 0.53, + "grad_norm": 2.125140601171626, + "learning_rate": 9.469173030268424e-06, + "loss": 0.8032, + "step": 22556 + }, + { + "epoch": 0.53, + "grad_norm": 0.7489142040234431, + "learning_rate": 9.46841106655067e-06, + "loss": 0.6906, + "step": 22557 + }, + { + "epoch": 0.53, + "grad_norm": 1.5381426657138104, + "learning_rate": 9.467649105927995e-06, + "loss": 0.6658, + "step": 22558 + }, + { + "epoch": 0.53, + "grad_norm": 1.4533044208952355, + "learning_rate": 9.466887148404831e-06, + "loss": 0.85, + "step": 22559 + }, + { + "epoch": 0.53, + "grad_norm": 1.8648109982392058, + "learning_rate": 9.466125193985623e-06, + "loss": 0.8259, + "step": 22560 + }, + { + "epoch": 0.53, + "grad_norm": 1.6686315913368597, + "learning_rate": 9.465363242674802e-06, + "loss": 0.9069, + "step": 22561 + }, + { + "epoch": 0.53, + "grad_norm": 1.3097165448426362, + "learning_rate": 9.464601294476807e-06, + "loss": 0.799, + "step": 22562 + }, + { + "epoch": 0.53, + "grad_norm": 2.021259684056717, + "learning_rate": 9.463839349396069e-06, + "loss": 0.9359, + "step": 22563 + }, + { + "epoch": 0.53, + "grad_norm": 1.9200801768641478, + "learning_rate": 9.463077407437028e-06, + "loss": 0.7716, + "step": 22564 + }, + { + "epoch": 0.53, + "grad_norm": 1.4425763402174585, + "learning_rate": 9.462315468604126e-06, + "loss": 0.8142, + "step": 22565 + }, + { + "epoch": 0.53, + "grad_norm": 2.0755444156175225, + "learning_rate": 9.461553532901789e-06, + "loss": 0.8549, + "step": 22566 + }, + { + "epoch": 0.53, + "grad_norm": 1.4082537617694446, + "learning_rate": 9.460791600334457e-06, + "loss": 0.7876, + "step": 22567 + }, + { + "epoch": 0.53, + "grad_norm": 1.6493630466284617, + "learning_rate": 9.460029670906568e-06, + "loss": 0.8424, + "step": 22568 + }, + { + "epoch": 0.53, + "grad_norm": 1.4615458533693078, + "learning_rate": 9.45926774462256e-06, + "loss": 0.7981, + "step": 22569 + }, + { + "epoch": 0.53, + "grad_norm": 1.7654390137235962, + "learning_rate": 9.458505821486864e-06, + "loss": 0.9462, + "step": 22570 + }, + { + "epoch": 0.53, + "grad_norm": 1.6687316656989062, + "learning_rate": 9.457743901503917e-06, + "loss": 0.9706, + "step": 22571 + }, + { + "epoch": 0.53, + "grad_norm": 1.681902592294298, + "learning_rate": 9.45698198467816e-06, + "loss": 0.8889, + "step": 22572 + }, + { + "epoch": 0.53, + "grad_norm": 1.460855013847446, + "learning_rate": 9.456220071014025e-06, + "loss": 0.8765, + "step": 22573 + }, + { + "epoch": 0.53, + "grad_norm": 1.5592608313475476, + "learning_rate": 9.455458160515948e-06, + "loss": 0.7999, + "step": 22574 + }, + { + "epoch": 0.53, + "grad_norm": 1.6271000681598797, + "learning_rate": 9.454696253188365e-06, + "loss": 0.835, + "step": 22575 + }, + { + "epoch": 0.53, + "grad_norm": 1.4368980737782178, + "learning_rate": 9.453934349035715e-06, + "loss": 0.899, + "step": 22576 + }, + { + "epoch": 0.53, + "grad_norm": 1.756503496790532, + "learning_rate": 9.453172448062433e-06, + "loss": 0.797, + "step": 22577 + }, + { + "epoch": 0.53, + "grad_norm": 1.7563682395337683, + "learning_rate": 9.452410550272949e-06, + "loss": 0.8813, + "step": 22578 + }, + { + "epoch": 0.53, + "grad_norm": 1.5732799229293435, + "learning_rate": 9.451648655671712e-06, + "loss": 0.967, + "step": 22579 + }, + { + "epoch": 0.53, + "grad_norm": 0.7586218852737984, + "learning_rate": 9.450886764263144e-06, + "loss": 0.723, + "step": 22580 + }, + { + "epoch": 0.53, + "grad_norm": 0.775795572399488, + "learning_rate": 9.450124876051688e-06, + "loss": 0.7802, + "step": 22581 + }, + { + "epoch": 0.53, + "grad_norm": 1.5628473040603525, + "learning_rate": 9.449362991041778e-06, + "loss": 0.8545, + "step": 22582 + }, + { + "epoch": 0.53, + "grad_norm": 2.1985862992764367, + "learning_rate": 9.448601109237859e-06, + "loss": 0.8183, + "step": 22583 + }, + { + "epoch": 0.53, + "grad_norm": 1.4228555486624224, + "learning_rate": 9.447839230644349e-06, + "loss": 0.8015, + "step": 22584 + }, + { + "epoch": 0.53, + "grad_norm": 1.627297139036074, + "learning_rate": 9.447077355265698e-06, + "loss": 0.8416, + "step": 22585 + }, + { + "epoch": 0.53, + "grad_norm": 1.611627213922212, + "learning_rate": 9.44631548310634e-06, + "loss": 0.8248, + "step": 22586 + }, + { + "epoch": 0.53, + "grad_norm": 1.63534035054456, + "learning_rate": 9.445553614170705e-06, + "loss": 0.9169, + "step": 22587 + }, + { + "epoch": 0.53, + "grad_norm": 1.592306359935706, + "learning_rate": 9.444791748463232e-06, + "loss": 1.013, + "step": 22588 + }, + { + "epoch": 0.53, + "grad_norm": 1.6765985518789517, + "learning_rate": 9.444029885988359e-06, + "loss": 0.8753, + "step": 22589 + }, + { + "epoch": 0.53, + "grad_norm": 0.7998056233797083, + "learning_rate": 9.443268026750521e-06, + "loss": 0.7126, + "step": 22590 + }, + { + "epoch": 0.53, + "grad_norm": 1.677535384871343, + "learning_rate": 9.442506170754149e-06, + "loss": 0.7938, + "step": 22591 + }, + { + "epoch": 0.53, + "grad_norm": 2.988932580717588, + "learning_rate": 9.441744318003685e-06, + "loss": 0.8355, + "step": 22592 + }, + { + "epoch": 0.53, + "grad_norm": 1.7172935800587097, + "learning_rate": 9.440982468503563e-06, + "loss": 0.884, + "step": 22593 + }, + { + "epoch": 0.53, + "grad_norm": 1.8145763101616035, + "learning_rate": 9.440220622258217e-06, + "loss": 0.7877, + "step": 22594 + }, + { + "epoch": 0.53, + "grad_norm": 1.8202679486601685, + "learning_rate": 9.439458779272082e-06, + "loss": 0.7756, + "step": 22595 + }, + { + "epoch": 0.53, + "grad_norm": 1.5371549792610513, + "learning_rate": 9.438696939549598e-06, + "loss": 0.8941, + "step": 22596 + }, + { + "epoch": 0.53, + "grad_norm": 1.5487979222127268, + "learning_rate": 9.437935103095201e-06, + "loss": 0.8343, + "step": 22597 + }, + { + "epoch": 0.53, + "grad_norm": 0.7643617988764224, + "learning_rate": 9.43717326991332e-06, + "loss": 0.6992, + "step": 22598 + }, + { + "epoch": 0.53, + "grad_norm": 1.6114448846793517, + "learning_rate": 9.436411440008392e-06, + "loss": 0.8855, + "step": 22599 + }, + { + "epoch": 0.53, + "grad_norm": 1.6827986621990607, + "learning_rate": 9.435649613384859e-06, + "loss": 0.8361, + "step": 22600 + }, + { + "epoch": 0.53, + "grad_norm": 1.791235067587359, + "learning_rate": 9.434887790047152e-06, + "loss": 0.9115, + "step": 22601 + }, + { + "epoch": 0.53, + "grad_norm": 1.53465495210617, + "learning_rate": 9.434125969999707e-06, + "loss": 0.773, + "step": 22602 + }, + { + "epoch": 0.53, + "grad_norm": 1.5833129850828511, + "learning_rate": 9.433364153246958e-06, + "loss": 0.8255, + "step": 22603 + }, + { + "epoch": 0.53, + "grad_norm": 1.885741475516056, + "learning_rate": 9.432602339793346e-06, + "loss": 0.902, + "step": 22604 + }, + { + "epoch": 0.53, + "grad_norm": 3.863820599265244, + "learning_rate": 9.4318405296433e-06, + "loss": 0.8392, + "step": 22605 + }, + { + "epoch": 0.53, + "grad_norm": 1.4416947201939512, + "learning_rate": 9.43107872280126e-06, + "loss": 0.7386, + "step": 22606 + }, + { + "epoch": 0.53, + "grad_norm": 1.8065876016536149, + "learning_rate": 9.43031691927166e-06, + "loss": 0.8753, + "step": 22607 + }, + { + "epoch": 0.53, + "grad_norm": 1.5803392652607664, + "learning_rate": 9.429555119058931e-06, + "loss": 0.8898, + "step": 22608 + }, + { + "epoch": 0.53, + "grad_norm": 1.6415139695774565, + "learning_rate": 9.428793322167516e-06, + "loss": 0.8525, + "step": 22609 + }, + { + "epoch": 0.53, + "grad_norm": 1.4736774253680653, + "learning_rate": 9.428031528601846e-06, + "loss": 1.0013, + "step": 22610 + }, + { + "epoch": 0.53, + "grad_norm": 1.6100652770165569, + "learning_rate": 9.427269738366361e-06, + "loss": 0.9259, + "step": 22611 + }, + { + "epoch": 0.53, + "grad_norm": 1.7900662530999858, + "learning_rate": 9.426507951465487e-06, + "loss": 0.8214, + "step": 22612 + }, + { + "epoch": 0.53, + "grad_norm": 1.5265207935249856, + "learning_rate": 9.42574616790367e-06, + "loss": 0.8724, + "step": 22613 + }, + { + "epoch": 0.53, + "grad_norm": 1.7113600698044131, + "learning_rate": 9.42498438768534e-06, + "loss": 0.8863, + "step": 22614 + }, + { + "epoch": 0.53, + "grad_norm": 1.6041897244070005, + "learning_rate": 9.424222610814932e-06, + "loss": 0.7577, + "step": 22615 + }, + { + "epoch": 0.53, + "grad_norm": 1.485399507432066, + "learning_rate": 9.423460837296879e-06, + "loss": 0.939, + "step": 22616 + }, + { + "epoch": 0.53, + "grad_norm": 1.6319277123392677, + "learning_rate": 9.422699067135624e-06, + "loss": 0.9291, + "step": 22617 + }, + { + "epoch": 0.53, + "grad_norm": 1.6623273558343383, + "learning_rate": 9.4219373003356e-06, + "loss": 0.7875, + "step": 22618 + }, + { + "epoch": 0.53, + "grad_norm": 1.5323500163727624, + "learning_rate": 9.421175536901234e-06, + "loss": 0.9239, + "step": 22619 + }, + { + "epoch": 0.53, + "grad_norm": 1.6210265222865856, + "learning_rate": 9.420413776836968e-06, + "loss": 0.8821, + "step": 22620 + }, + { + "epoch": 0.53, + "grad_norm": 1.6921329269097007, + "learning_rate": 9.41965202014724e-06, + "loss": 0.9781, + "step": 22621 + }, + { + "epoch": 0.53, + "grad_norm": 1.6100231394063207, + "learning_rate": 9.41889026683648e-06, + "loss": 0.9488, + "step": 22622 + }, + { + "epoch": 0.53, + "grad_norm": 0.7944017695076615, + "learning_rate": 9.418128516909126e-06, + "loss": 0.8062, + "step": 22623 + }, + { + "epoch": 0.53, + "grad_norm": 0.8074928023434169, + "learning_rate": 9.417366770369609e-06, + "loss": 0.7307, + "step": 22624 + }, + { + "epoch": 0.53, + "grad_norm": 1.643903453954868, + "learning_rate": 9.41660502722237e-06, + "loss": 0.815, + "step": 22625 + }, + { + "epoch": 0.53, + "grad_norm": 1.614302278773522, + "learning_rate": 9.41584328747184e-06, + "loss": 0.9453, + "step": 22626 + }, + { + "epoch": 0.53, + "grad_norm": 1.4851682397080892, + "learning_rate": 9.415081551122453e-06, + "loss": 0.8604, + "step": 22627 + }, + { + "epoch": 0.53, + "grad_norm": 1.816728369545545, + "learning_rate": 9.414319818178654e-06, + "loss": 1.003, + "step": 22628 + }, + { + "epoch": 0.53, + "grad_norm": 0.7770260011747802, + "learning_rate": 9.413558088644864e-06, + "loss": 0.669, + "step": 22629 + }, + { + "epoch": 0.53, + "grad_norm": 1.7242996917505822, + "learning_rate": 9.412796362525526e-06, + "loss": 0.8174, + "step": 22630 + }, + { + "epoch": 0.53, + "grad_norm": 0.7815753285104787, + "learning_rate": 9.41203463982507e-06, + "loss": 0.713, + "step": 22631 + }, + { + "epoch": 0.53, + "grad_norm": 1.6705792062959819, + "learning_rate": 9.411272920547942e-06, + "loss": 0.8981, + "step": 22632 + }, + { + "epoch": 0.53, + "grad_norm": 1.5413470911218825, + "learning_rate": 9.410511204698562e-06, + "loss": 0.9084, + "step": 22633 + }, + { + "epoch": 0.53, + "grad_norm": 2.405024950167107, + "learning_rate": 9.409749492281378e-06, + "loss": 0.9222, + "step": 22634 + }, + { + "epoch": 0.53, + "grad_norm": 2.0458995535717746, + "learning_rate": 9.408987783300818e-06, + "loss": 0.8149, + "step": 22635 + }, + { + "epoch": 0.53, + "grad_norm": 1.8657163065116171, + "learning_rate": 9.408226077761316e-06, + "loss": 0.8947, + "step": 22636 + }, + { + "epoch": 0.53, + "grad_norm": 1.714621104255463, + "learning_rate": 9.407464375667309e-06, + "loss": 0.8587, + "step": 22637 + }, + { + "epoch": 0.53, + "grad_norm": 1.6904206700782813, + "learning_rate": 9.406702677023233e-06, + "loss": 0.8883, + "step": 22638 + }, + { + "epoch": 0.53, + "grad_norm": 1.6830601652729562, + "learning_rate": 9.405940981833525e-06, + "loss": 0.975, + "step": 22639 + }, + { + "epoch": 0.53, + "grad_norm": 1.762620947763751, + "learning_rate": 9.405179290102611e-06, + "loss": 0.8534, + "step": 22640 + }, + { + "epoch": 0.53, + "grad_norm": 1.6663263238462027, + "learning_rate": 9.404417601834935e-06, + "loss": 0.9515, + "step": 22641 + }, + { + "epoch": 0.53, + "grad_norm": 1.846945823486774, + "learning_rate": 9.40365591703493e-06, + "loss": 0.9533, + "step": 22642 + }, + { + "epoch": 0.53, + "grad_norm": 1.5817496463403602, + "learning_rate": 9.402894235707026e-06, + "loss": 0.8074, + "step": 22643 + }, + { + "epoch": 0.53, + "grad_norm": 1.8270425856480774, + "learning_rate": 9.402132557855659e-06, + "loss": 0.9323, + "step": 22644 + }, + { + "epoch": 0.53, + "grad_norm": 1.8998488835904281, + "learning_rate": 9.401370883485268e-06, + "loss": 0.8354, + "step": 22645 + }, + { + "epoch": 0.53, + "grad_norm": 1.5753206672767237, + "learning_rate": 9.400609212600288e-06, + "loss": 0.8387, + "step": 22646 + }, + { + "epoch": 0.53, + "grad_norm": 1.6965856471967624, + "learning_rate": 9.399847545205148e-06, + "loss": 0.9841, + "step": 22647 + }, + { + "epoch": 0.53, + "grad_norm": 1.7255084972020713, + "learning_rate": 9.399085881304283e-06, + "loss": 0.9052, + "step": 22648 + }, + { + "epoch": 0.53, + "grad_norm": 1.5197686240417105, + "learning_rate": 9.398324220902135e-06, + "loss": 0.8249, + "step": 22649 + }, + { + "epoch": 0.53, + "grad_norm": 0.8130281237950263, + "learning_rate": 9.397562564003131e-06, + "loss": 0.7293, + "step": 22650 + }, + { + "epoch": 0.53, + "grad_norm": 1.9698376192233091, + "learning_rate": 9.39680091061171e-06, + "loss": 0.8315, + "step": 22651 + }, + { + "epoch": 0.53, + "grad_norm": 1.5712691908933274, + "learning_rate": 9.396039260732302e-06, + "loss": 0.8418, + "step": 22652 + }, + { + "epoch": 0.53, + "grad_norm": 1.560326645512282, + "learning_rate": 9.39527761436935e-06, + "loss": 0.7849, + "step": 22653 + }, + { + "epoch": 0.53, + "grad_norm": 2.979758415331746, + "learning_rate": 9.39451597152728e-06, + "loss": 0.9329, + "step": 22654 + }, + { + "epoch": 0.53, + "grad_norm": 1.6353594255097472, + "learning_rate": 9.393754332210529e-06, + "loss": 0.8562, + "step": 22655 + }, + { + "epoch": 0.53, + "grad_norm": 1.519978176437285, + "learning_rate": 9.392992696423536e-06, + "loss": 0.7458, + "step": 22656 + }, + { + "epoch": 0.53, + "grad_norm": 1.460629125654316, + "learning_rate": 9.392231064170728e-06, + "loss": 0.8821, + "step": 22657 + }, + { + "epoch": 0.53, + "grad_norm": 1.4726172937782447, + "learning_rate": 9.391469435456543e-06, + "loss": 0.8399, + "step": 22658 + }, + { + "epoch": 0.53, + "grad_norm": 0.7687411689835607, + "learning_rate": 9.390707810285416e-06, + "loss": 0.7216, + "step": 22659 + }, + { + "epoch": 0.53, + "grad_norm": 1.6345783042682436, + "learning_rate": 9.389946188661785e-06, + "loss": 0.9366, + "step": 22660 + }, + { + "epoch": 0.53, + "grad_norm": 1.9042310600950725, + "learning_rate": 9.389184570590075e-06, + "loss": 0.9114, + "step": 22661 + }, + { + "epoch": 0.53, + "grad_norm": 1.5700485139706866, + "learning_rate": 9.388422956074727e-06, + "loss": 0.7822, + "step": 22662 + }, + { + "epoch": 0.53, + "grad_norm": 1.9908280406274639, + "learning_rate": 9.387661345120178e-06, + "loss": 0.8348, + "step": 22663 + }, + { + "epoch": 0.53, + "grad_norm": 2.13536405437362, + "learning_rate": 9.386899737730854e-06, + "loss": 0.7884, + "step": 22664 + }, + { + "epoch": 0.53, + "grad_norm": 1.571552098637546, + "learning_rate": 9.386138133911193e-06, + "loss": 0.8755, + "step": 22665 + }, + { + "epoch": 0.53, + "grad_norm": 1.4705971609251474, + "learning_rate": 9.385376533665633e-06, + "loss": 0.7493, + "step": 22666 + }, + { + "epoch": 0.53, + "grad_norm": 1.7197302478129903, + "learning_rate": 9.384614936998607e-06, + "loss": 0.8588, + "step": 22667 + }, + { + "epoch": 0.53, + "grad_norm": 1.788226089155665, + "learning_rate": 9.383853343914546e-06, + "loss": 0.9025, + "step": 22668 + }, + { + "epoch": 0.53, + "grad_norm": 1.5827327569616414, + "learning_rate": 9.383091754417884e-06, + "loss": 0.9539, + "step": 22669 + }, + { + "epoch": 0.53, + "grad_norm": 1.7690384988566434, + "learning_rate": 9.382330168513058e-06, + "loss": 0.9206, + "step": 22670 + }, + { + "epoch": 0.53, + "grad_norm": 1.4863663355701968, + "learning_rate": 9.381568586204504e-06, + "loss": 0.9174, + "step": 22671 + }, + { + "epoch": 0.53, + "grad_norm": 0.7550234685358763, + "learning_rate": 9.380807007496652e-06, + "loss": 0.6699, + "step": 22672 + }, + { + "epoch": 0.53, + "grad_norm": 1.7000856255626546, + "learning_rate": 9.380045432393934e-06, + "loss": 0.8501, + "step": 22673 + }, + { + "epoch": 0.53, + "grad_norm": 1.8137620761714583, + "learning_rate": 9.379283860900793e-06, + "loss": 0.7018, + "step": 22674 + }, + { + "epoch": 0.53, + "grad_norm": 1.720967957436107, + "learning_rate": 9.378522293021656e-06, + "loss": 0.9333, + "step": 22675 + }, + { + "epoch": 0.53, + "grad_norm": 1.8236805400882348, + "learning_rate": 9.377760728760957e-06, + "loss": 0.9306, + "step": 22676 + }, + { + "epoch": 0.53, + "grad_norm": 1.57386173766932, + "learning_rate": 9.376999168123134e-06, + "loss": 0.9097, + "step": 22677 + }, + { + "epoch": 0.53, + "grad_norm": 1.761049534753989, + "learning_rate": 9.37623761111262e-06, + "loss": 0.878, + "step": 22678 + }, + { + "epoch": 0.53, + "grad_norm": 0.7323146874752696, + "learning_rate": 9.375476057733847e-06, + "loss": 0.7554, + "step": 22679 + }, + { + "epoch": 0.53, + "grad_norm": 1.6158165795784736, + "learning_rate": 9.374714507991248e-06, + "loss": 0.8929, + "step": 22680 + }, + { + "epoch": 0.53, + "grad_norm": 1.597134169570352, + "learning_rate": 9.373952961889265e-06, + "loss": 0.8153, + "step": 22681 + }, + { + "epoch": 0.53, + "grad_norm": 1.729857105179001, + "learning_rate": 9.373191419432319e-06, + "loss": 0.9214, + "step": 22682 + }, + { + "epoch": 0.53, + "grad_norm": 1.7334105125866313, + "learning_rate": 9.372429880624856e-06, + "loss": 0.8679, + "step": 22683 + }, + { + "epoch": 0.53, + "grad_norm": 1.4145360926305615, + "learning_rate": 9.3716683454713e-06, + "loss": 0.8071, + "step": 22684 + }, + { + "epoch": 0.53, + "grad_norm": 1.6318325453643938, + "learning_rate": 9.370906813976097e-06, + "loss": 0.8413, + "step": 22685 + }, + { + "epoch": 0.53, + "grad_norm": 1.4902390660851752, + "learning_rate": 9.370145286143667e-06, + "loss": 0.8533, + "step": 22686 + }, + { + "epoch": 0.53, + "grad_norm": 1.6343736325286975, + "learning_rate": 9.369383761978453e-06, + "loss": 0.8065, + "step": 22687 + }, + { + "epoch": 0.53, + "grad_norm": 1.462920097648161, + "learning_rate": 9.36862224148489e-06, + "loss": 0.7851, + "step": 22688 + }, + { + "epoch": 0.53, + "grad_norm": 1.6620332887524256, + "learning_rate": 9.367860724667401e-06, + "loss": 0.928, + "step": 22689 + }, + { + "epoch": 0.53, + "grad_norm": 1.5272341333914694, + "learning_rate": 9.367099211530432e-06, + "loss": 0.9339, + "step": 22690 + }, + { + "epoch": 0.53, + "grad_norm": 1.7518877359062444, + "learning_rate": 9.36633770207841e-06, + "loss": 0.8603, + "step": 22691 + }, + { + "epoch": 0.53, + "grad_norm": 1.516650941131488, + "learning_rate": 9.365576196315772e-06, + "loss": 0.8151, + "step": 22692 + }, + { + "epoch": 0.53, + "grad_norm": 2.122994112499247, + "learning_rate": 9.364814694246947e-06, + "loss": 0.8757, + "step": 22693 + }, + { + "epoch": 0.53, + "grad_norm": 1.6085904526070247, + "learning_rate": 9.364053195876375e-06, + "loss": 0.8945, + "step": 22694 + }, + { + "epoch": 0.53, + "grad_norm": 1.494149030906431, + "learning_rate": 9.363291701208488e-06, + "loss": 0.8965, + "step": 22695 + }, + { + "epoch": 0.53, + "grad_norm": 1.5304440597298916, + "learning_rate": 9.362530210247715e-06, + "loss": 0.8104, + "step": 22696 + }, + { + "epoch": 0.53, + "grad_norm": 1.4670080533405743, + "learning_rate": 9.361768722998494e-06, + "loss": 0.9299, + "step": 22697 + }, + { + "epoch": 0.53, + "grad_norm": 2.550441997005649, + "learning_rate": 9.361007239465257e-06, + "loss": 0.9247, + "step": 22698 + }, + { + "epoch": 0.53, + "grad_norm": 1.7183905214060067, + "learning_rate": 9.36024575965244e-06, + "loss": 0.952, + "step": 22699 + }, + { + "epoch": 0.53, + "grad_norm": 1.6731772151747824, + "learning_rate": 9.359484283564474e-06, + "loss": 0.9092, + "step": 22700 + }, + { + "epoch": 0.53, + "grad_norm": 2.876229397881864, + "learning_rate": 9.35872281120579e-06, + "loss": 0.7542, + "step": 22701 + }, + { + "epoch": 0.53, + "grad_norm": 6.253494449265299, + "learning_rate": 9.35796134258083e-06, + "loss": 0.9068, + "step": 22702 + }, + { + "epoch": 0.53, + "grad_norm": 1.6199386059682894, + "learning_rate": 9.35719987769402e-06, + "loss": 0.9578, + "step": 22703 + }, + { + "epoch": 0.53, + "grad_norm": 1.5472140632219045, + "learning_rate": 9.356438416549795e-06, + "loss": 0.992, + "step": 22704 + }, + { + "epoch": 0.53, + "grad_norm": 1.541798779814976, + "learning_rate": 9.355676959152588e-06, + "loss": 0.9524, + "step": 22705 + }, + { + "epoch": 0.53, + "grad_norm": 1.541668744682956, + "learning_rate": 9.354915505506839e-06, + "loss": 0.9055, + "step": 22706 + }, + { + "epoch": 0.53, + "grad_norm": 1.7653733978567492, + "learning_rate": 9.354154055616971e-06, + "loss": 0.8961, + "step": 22707 + }, + { + "epoch": 0.53, + "grad_norm": 1.6345324671905503, + "learning_rate": 9.353392609487427e-06, + "loss": 0.8466, + "step": 22708 + }, + { + "epoch": 0.54, + "grad_norm": 1.9336002513054924, + "learning_rate": 9.352631167122635e-06, + "loss": 0.9793, + "step": 22709 + }, + { + "epoch": 0.54, + "grad_norm": 1.6088277311575074, + "learning_rate": 9.351869728527024e-06, + "loss": 0.8018, + "step": 22710 + }, + { + "epoch": 0.54, + "grad_norm": 1.6307969197717833, + "learning_rate": 9.351108293705037e-06, + "loss": 0.8009, + "step": 22711 + }, + { + "epoch": 0.54, + "grad_norm": 1.5284685392451782, + "learning_rate": 9.3503468626611e-06, + "loss": 0.9343, + "step": 22712 + }, + { + "epoch": 0.54, + "grad_norm": 1.5492483335827416, + "learning_rate": 9.349585435399656e-06, + "loss": 0.9458, + "step": 22713 + }, + { + "epoch": 0.54, + "grad_norm": 1.3150231277430477, + "learning_rate": 9.348824011925124e-06, + "loss": 0.8887, + "step": 22714 + }, + { + "epoch": 0.54, + "grad_norm": 1.5507825872566539, + "learning_rate": 9.34806259224195e-06, + "loss": 0.8311, + "step": 22715 + }, + { + "epoch": 0.54, + "grad_norm": 1.6959478170628597, + "learning_rate": 9.34730117635456e-06, + "loss": 0.8929, + "step": 22716 + }, + { + "epoch": 0.54, + "grad_norm": 1.552164124755709, + "learning_rate": 9.346539764267389e-06, + "loss": 0.7631, + "step": 22717 + }, + { + "epoch": 0.54, + "grad_norm": 1.6358572165766994, + "learning_rate": 9.345778355984869e-06, + "loss": 0.8444, + "step": 22718 + }, + { + "epoch": 0.54, + "grad_norm": 1.6931417013463563, + "learning_rate": 9.345016951511436e-06, + "loss": 0.8666, + "step": 22719 + }, + { + "epoch": 0.54, + "grad_norm": 0.7643106355445731, + "learning_rate": 9.344255550851523e-06, + "loss": 0.7287, + "step": 22720 + }, + { + "epoch": 0.54, + "grad_norm": 2.186177807571048, + "learning_rate": 9.34349415400956e-06, + "loss": 0.8233, + "step": 22721 + }, + { + "epoch": 0.54, + "grad_norm": 2.0105460816373553, + "learning_rate": 9.34273276098998e-06, + "loss": 0.9593, + "step": 22722 + }, + { + "epoch": 0.54, + "grad_norm": 1.8911355257942155, + "learning_rate": 9.341971371797223e-06, + "loss": 0.9624, + "step": 22723 + }, + { + "epoch": 0.54, + "grad_norm": 1.4920474140833877, + "learning_rate": 9.341209986435715e-06, + "loss": 0.8911, + "step": 22724 + }, + { + "epoch": 0.54, + "grad_norm": 0.7315599731607617, + "learning_rate": 9.340448604909888e-06, + "loss": 0.6644, + "step": 22725 + }, + { + "epoch": 0.54, + "grad_norm": 1.592937276906333, + "learning_rate": 9.339687227224178e-06, + "loss": 0.9114, + "step": 22726 + }, + { + "epoch": 0.54, + "grad_norm": 1.620300863513551, + "learning_rate": 9.338925853383024e-06, + "loss": 0.8325, + "step": 22727 + }, + { + "epoch": 0.54, + "grad_norm": 0.8114792548205383, + "learning_rate": 9.338164483390849e-06, + "loss": 0.6971, + "step": 22728 + }, + { + "epoch": 0.54, + "grad_norm": 1.4731497760542784, + "learning_rate": 9.337403117252089e-06, + "loss": 0.7093, + "step": 22729 + }, + { + "epoch": 0.54, + "grad_norm": 1.9638769906760591, + "learning_rate": 9.336641754971183e-06, + "loss": 0.8606, + "step": 22730 + }, + { + "epoch": 0.54, + "grad_norm": 1.723596695269634, + "learning_rate": 9.335880396552552e-06, + "loss": 0.8347, + "step": 22731 + }, + { + "epoch": 0.54, + "grad_norm": 1.7813130338846155, + "learning_rate": 9.335119042000637e-06, + "loss": 0.8151, + "step": 22732 + }, + { + "epoch": 0.54, + "grad_norm": 1.9329707763194726, + "learning_rate": 9.33435769131987e-06, + "loss": 0.7987, + "step": 22733 + }, + { + "epoch": 0.54, + "grad_norm": 0.7493901637228266, + "learning_rate": 9.333596344514689e-06, + "loss": 0.7813, + "step": 22734 + }, + { + "epoch": 0.54, + "grad_norm": 1.5949324508449372, + "learning_rate": 9.332835001589514e-06, + "loss": 0.9221, + "step": 22735 + }, + { + "epoch": 0.54, + "grad_norm": 0.7799928281285319, + "learning_rate": 9.332073662548785e-06, + "loss": 0.7494, + "step": 22736 + }, + { + "epoch": 0.54, + "grad_norm": 1.599094043368221, + "learning_rate": 9.33131232739694e-06, + "loss": 0.9462, + "step": 22737 + }, + { + "epoch": 0.54, + "grad_norm": 0.840179710676346, + "learning_rate": 9.3305509961384e-06, + "loss": 0.7699, + "step": 22738 + }, + { + "epoch": 0.54, + "grad_norm": 2.4486128731171393, + "learning_rate": 9.329789668777606e-06, + "loss": 0.9346, + "step": 22739 + }, + { + "epoch": 0.54, + "grad_norm": 1.5750979166079744, + "learning_rate": 9.32902834531899e-06, + "loss": 0.8889, + "step": 22740 + }, + { + "epoch": 0.54, + "grad_norm": 1.4953952437855949, + "learning_rate": 9.328267025766984e-06, + "loss": 0.9338, + "step": 22741 + }, + { + "epoch": 0.54, + "grad_norm": 1.4333602366275209, + "learning_rate": 9.327505710126018e-06, + "loss": 0.8313, + "step": 22742 + }, + { + "epoch": 0.54, + "grad_norm": 1.7483416464614716, + "learning_rate": 9.326744398400527e-06, + "loss": 0.8946, + "step": 22743 + }, + { + "epoch": 0.54, + "grad_norm": 1.5700976031377816, + "learning_rate": 9.325983090594946e-06, + "loss": 0.7534, + "step": 22744 + }, + { + "epoch": 0.54, + "grad_norm": 1.6502151891720125, + "learning_rate": 9.325221786713704e-06, + "loss": 0.8606, + "step": 22745 + }, + { + "epoch": 0.54, + "grad_norm": 1.5779623125762228, + "learning_rate": 9.324460486761231e-06, + "loss": 0.723, + "step": 22746 + }, + { + "epoch": 0.54, + "grad_norm": 1.6609932240504115, + "learning_rate": 9.323699190741964e-06, + "loss": 0.8435, + "step": 22747 + }, + { + "epoch": 0.54, + "grad_norm": 1.4014352519007456, + "learning_rate": 9.322937898660339e-06, + "loss": 0.7752, + "step": 22748 + }, + { + "epoch": 0.54, + "grad_norm": 2.785498312674068, + "learning_rate": 9.32217661052078e-06, + "loss": 0.8594, + "step": 22749 + }, + { + "epoch": 0.54, + "grad_norm": 1.751698266006535, + "learning_rate": 9.321415326327721e-06, + "loss": 0.7116, + "step": 22750 + }, + { + "epoch": 0.54, + "grad_norm": 1.013703956950767, + "learning_rate": 9.320654046085602e-06, + "loss": 0.7196, + "step": 22751 + }, + { + "epoch": 0.54, + "grad_norm": 1.7254899503371217, + "learning_rate": 9.319892769798848e-06, + "loss": 0.8766, + "step": 22752 + }, + { + "epoch": 0.54, + "grad_norm": 1.708428459400726, + "learning_rate": 9.319131497471894e-06, + "loss": 0.8636, + "step": 22753 + }, + { + "epoch": 0.54, + "grad_norm": 1.5149719677985836, + "learning_rate": 9.318370229109168e-06, + "loss": 0.8213, + "step": 22754 + }, + { + "epoch": 0.54, + "grad_norm": 1.5475054323249606, + "learning_rate": 9.317608964715113e-06, + "loss": 0.8788, + "step": 22755 + }, + { + "epoch": 0.54, + "grad_norm": 1.5761180793020704, + "learning_rate": 9.31684770429415e-06, + "loss": 0.8825, + "step": 22756 + }, + { + "epoch": 0.54, + "grad_norm": 1.9663991123095212, + "learning_rate": 9.316086447850718e-06, + "loss": 0.8392, + "step": 22757 + }, + { + "epoch": 0.54, + "grad_norm": 1.7235679719969983, + "learning_rate": 9.31532519538925e-06, + "loss": 0.7738, + "step": 22758 + }, + { + "epoch": 0.54, + "grad_norm": 1.9847950946525705, + "learning_rate": 9.314563946914169e-06, + "loss": 0.9602, + "step": 22759 + }, + { + "epoch": 0.54, + "grad_norm": 1.5280737209498492, + "learning_rate": 9.313802702429918e-06, + "loss": 0.8964, + "step": 22760 + }, + { + "epoch": 0.54, + "grad_norm": 1.4460936141756275, + "learning_rate": 9.31304146194092e-06, + "loss": 0.7961, + "step": 22761 + }, + { + "epoch": 0.54, + "grad_norm": 0.7479166841696506, + "learning_rate": 9.31228022545162e-06, + "loss": 0.7082, + "step": 22762 + }, + { + "epoch": 0.54, + "grad_norm": 1.6684898164304738, + "learning_rate": 9.311518992966436e-06, + "loss": 0.8238, + "step": 22763 + }, + { + "epoch": 0.54, + "grad_norm": 2.0158320114331083, + "learning_rate": 9.310757764489808e-06, + "loss": 0.8953, + "step": 22764 + }, + { + "epoch": 0.54, + "grad_norm": 1.8311897452931207, + "learning_rate": 9.309996540026169e-06, + "loss": 0.8737, + "step": 22765 + }, + { + "epoch": 0.54, + "grad_norm": 1.7189330741627131, + "learning_rate": 9.309235319579947e-06, + "loss": 0.8353, + "step": 22766 + }, + { + "epoch": 0.54, + "grad_norm": 1.6420921532112462, + "learning_rate": 9.308474103155573e-06, + "loss": 0.8154, + "step": 22767 + }, + { + "epoch": 0.54, + "grad_norm": 1.8267401108250658, + "learning_rate": 9.307712890757483e-06, + "loss": 0.8403, + "step": 22768 + }, + { + "epoch": 0.54, + "grad_norm": 0.7084032379238321, + "learning_rate": 9.306951682390112e-06, + "loss": 0.73, + "step": 22769 + }, + { + "epoch": 0.54, + "grad_norm": 2.0030096983371837, + "learning_rate": 9.306190478057884e-06, + "loss": 0.8754, + "step": 22770 + }, + { + "epoch": 0.54, + "grad_norm": 1.5316466642520095, + "learning_rate": 9.305429277765233e-06, + "loss": 0.9016, + "step": 22771 + }, + { + "epoch": 0.54, + "grad_norm": 1.6289826413879076, + "learning_rate": 9.304668081516598e-06, + "loss": 0.8635, + "step": 22772 + }, + { + "epoch": 0.54, + "grad_norm": 1.6779702104651284, + "learning_rate": 9.3039068893164e-06, + "loss": 0.7757, + "step": 22773 + }, + { + "epoch": 0.54, + "grad_norm": 1.6778093428364405, + "learning_rate": 9.303145701169077e-06, + "loss": 0.9954, + "step": 22774 + }, + { + "epoch": 0.54, + "grad_norm": 1.4471118995336867, + "learning_rate": 9.302384517079061e-06, + "loss": 0.8229, + "step": 22775 + }, + { + "epoch": 0.54, + "grad_norm": 2.3672270201806547, + "learning_rate": 9.301623337050788e-06, + "loss": 0.7202, + "step": 22776 + }, + { + "epoch": 0.54, + "grad_norm": 1.5695959999848126, + "learning_rate": 9.30086216108868e-06, + "loss": 0.8765, + "step": 22777 + }, + { + "epoch": 0.54, + "grad_norm": 1.5368137165211058, + "learning_rate": 9.300100989197174e-06, + "loss": 0.8486, + "step": 22778 + }, + { + "epoch": 0.54, + "grad_norm": 1.6020645160560072, + "learning_rate": 9.299339821380708e-06, + "loss": 0.9541, + "step": 22779 + }, + { + "epoch": 0.54, + "grad_norm": 1.901090747190357, + "learning_rate": 9.2985786576437e-06, + "loss": 0.6823, + "step": 22780 + }, + { + "epoch": 0.54, + "grad_norm": 1.599615175998798, + "learning_rate": 9.29781749799059e-06, + "loss": 0.8241, + "step": 22781 + }, + { + "epoch": 0.54, + "grad_norm": 1.5525486698602013, + "learning_rate": 9.297056342425807e-06, + "loss": 0.9251, + "step": 22782 + }, + { + "epoch": 0.54, + "grad_norm": 1.800494734394771, + "learning_rate": 9.296295190953792e-06, + "loss": 0.8841, + "step": 22783 + }, + { + "epoch": 0.54, + "grad_norm": 2.4948095509111594, + "learning_rate": 9.295534043578963e-06, + "loss": 0.7446, + "step": 22784 + }, + { + "epoch": 0.54, + "grad_norm": 1.5872963923805141, + "learning_rate": 9.29477290030576e-06, + "loss": 0.9134, + "step": 22785 + }, + { + "epoch": 0.54, + "grad_norm": 1.4685438128630115, + "learning_rate": 9.294011761138614e-06, + "loss": 0.9336, + "step": 22786 + }, + { + "epoch": 0.54, + "grad_norm": 1.819410465486956, + "learning_rate": 9.293250626081951e-06, + "loss": 0.8411, + "step": 22787 + }, + { + "epoch": 0.54, + "grad_norm": 1.5364265531445418, + "learning_rate": 9.292489495140209e-06, + "loss": 0.9093, + "step": 22788 + }, + { + "epoch": 0.54, + "grad_norm": 2.0668235612747705, + "learning_rate": 9.291728368317816e-06, + "loss": 0.9026, + "step": 22789 + }, + { + "epoch": 0.54, + "grad_norm": 1.8183435725619965, + "learning_rate": 9.290967245619208e-06, + "loss": 0.989, + "step": 22790 + }, + { + "epoch": 0.54, + "grad_norm": 0.7720457335710689, + "learning_rate": 9.290206127048809e-06, + "loss": 0.736, + "step": 22791 + }, + { + "epoch": 0.54, + "grad_norm": 1.6893349504897952, + "learning_rate": 9.289445012611056e-06, + "loss": 0.7769, + "step": 22792 + }, + { + "epoch": 0.54, + "grad_norm": 1.8453274727288556, + "learning_rate": 9.28868390231038e-06, + "loss": 0.819, + "step": 22793 + }, + { + "epoch": 0.54, + "grad_norm": 1.9558521646258065, + "learning_rate": 9.287922796151214e-06, + "loss": 0.8765, + "step": 22794 + }, + { + "epoch": 0.54, + "grad_norm": 1.822338722146411, + "learning_rate": 9.28716169413798e-06, + "loss": 0.8046, + "step": 22795 + }, + { + "epoch": 0.54, + "grad_norm": 1.6105114662684157, + "learning_rate": 9.28640059627512e-06, + "loss": 0.8781, + "step": 22796 + }, + { + "epoch": 0.54, + "grad_norm": 1.955726460852354, + "learning_rate": 9.285639502567065e-06, + "loss": 0.8871, + "step": 22797 + }, + { + "epoch": 0.54, + "grad_norm": 2.0699933500801015, + "learning_rate": 9.284878413018238e-06, + "loss": 0.9427, + "step": 22798 + }, + { + "epoch": 0.54, + "grad_norm": 2.8138263023900234, + "learning_rate": 9.284117327633077e-06, + "loss": 1.0398, + "step": 22799 + }, + { + "epoch": 0.54, + "grad_norm": 1.9258751882863265, + "learning_rate": 9.28335624641601e-06, + "loss": 0.8165, + "step": 22800 + }, + { + "epoch": 0.54, + "grad_norm": 2.1995058146674085, + "learning_rate": 9.282595169371474e-06, + "loss": 0.9279, + "step": 22801 + }, + { + "epoch": 0.54, + "grad_norm": 1.4768437817838287, + "learning_rate": 9.281834096503895e-06, + "loss": 0.8332, + "step": 22802 + }, + { + "epoch": 0.54, + "grad_norm": 1.591401797541437, + "learning_rate": 9.281073027817702e-06, + "loss": 0.8098, + "step": 22803 + }, + { + "epoch": 0.54, + "grad_norm": 1.7092314086401095, + "learning_rate": 9.280311963317332e-06, + "loss": 0.7963, + "step": 22804 + }, + { + "epoch": 0.54, + "grad_norm": 1.6151112360471787, + "learning_rate": 9.279550903007212e-06, + "loss": 0.7676, + "step": 22805 + }, + { + "epoch": 0.54, + "grad_norm": 1.696525874371138, + "learning_rate": 9.278789846891777e-06, + "loss": 0.884, + "step": 22806 + }, + { + "epoch": 0.54, + "grad_norm": 1.5007577471095719, + "learning_rate": 9.278028794975452e-06, + "loss": 0.7777, + "step": 22807 + }, + { + "epoch": 0.54, + "grad_norm": 1.4361434583251202, + "learning_rate": 9.277267747262676e-06, + "loss": 0.8927, + "step": 22808 + }, + { + "epoch": 0.54, + "grad_norm": 1.7031391661264268, + "learning_rate": 9.276506703757875e-06, + "loss": 0.924, + "step": 22809 + }, + { + "epoch": 0.54, + "grad_norm": 2.2513489444407955, + "learning_rate": 9.275745664465478e-06, + "loss": 0.9274, + "step": 22810 + }, + { + "epoch": 0.54, + "grad_norm": 1.7307005194345486, + "learning_rate": 9.274984629389927e-06, + "loss": 0.9704, + "step": 22811 + }, + { + "epoch": 0.54, + "grad_norm": 1.7981613699776104, + "learning_rate": 9.274223598535635e-06, + "loss": 0.8276, + "step": 22812 + }, + { + "epoch": 0.54, + "grad_norm": 1.6207009241691868, + "learning_rate": 9.273462571907049e-06, + "loss": 0.8305, + "step": 22813 + }, + { + "epoch": 0.54, + "grad_norm": 1.7036065377287541, + "learning_rate": 9.272701549508589e-06, + "loss": 0.8731, + "step": 22814 + }, + { + "epoch": 0.54, + "grad_norm": 1.583343894236727, + "learning_rate": 9.271940531344699e-06, + "loss": 0.9334, + "step": 22815 + }, + { + "epoch": 0.54, + "grad_norm": 1.6176381206791939, + "learning_rate": 9.271179517419794e-06, + "loss": 0.8408, + "step": 22816 + }, + { + "epoch": 0.54, + "grad_norm": 1.5578538287758996, + "learning_rate": 9.270418507738316e-06, + "loss": 0.9481, + "step": 22817 + }, + { + "epoch": 0.54, + "grad_norm": 1.6064320181815395, + "learning_rate": 9.269657502304694e-06, + "loss": 0.8701, + "step": 22818 + }, + { + "epoch": 0.54, + "grad_norm": 1.6080459073471578, + "learning_rate": 9.268896501123354e-06, + "loss": 0.8138, + "step": 22819 + }, + { + "epoch": 0.54, + "grad_norm": 1.434278860935168, + "learning_rate": 9.26813550419873e-06, + "loss": 0.8276, + "step": 22820 + }, + { + "epoch": 0.54, + "grad_norm": 2.817349061400161, + "learning_rate": 9.267374511535254e-06, + "loss": 0.8956, + "step": 22821 + }, + { + "epoch": 0.54, + "grad_norm": 1.4813475105245149, + "learning_rate": 9.266613523137358e-06, + "loss": 0.936, + "step": 22822 + }, + { + "epoch": 0.54, + "grad_norm": 1.6752273147627186, + "learning_rate": 9.265852539009466e-06, + "loss": 0.9193, + "step": 22823 + }, + { + "epoch": 0.54, + "grad_norm": 1.4912277667003726, + "learning_rate": 9.265091559156014e-06, + "loss": 0.8154, + "step": 22824 + }, + { + "epoch": 0.54, + "grad_norm": 0.8834550374514174, + "learning_rate": 9.264330583581434e-06, + "loss": 0.7282, + "step": 22825 + }, + { + "epoch": 0.54, + "grad_norm": 1.8230335213433377, + "learning_rate": 9.263569612290154e-06, + "loss": 0.8333, + "step": 22826 + }, + { + "epoch": 0.54, + "grad_norm": 1.5566222342783236, + "learning_rate": 9.2628086452866e-06, + "loss": 0.8501, + "step": 22827 + }, + { + "epoch": 0.54, + "grad_norm": 1.5512195767253236, + "learning_rate": 9.262047682575211e-06, + "loss": 0.8085, + "step": 22828 + }, + { + "epoch": 0.54, + "grad_norm": 1.6402339223325408, + "learning_rate": 9.261286724160417e-06, + "loss": 0.8902, + "step": 22829 + }, + { + "epoch": 0.54, + "grad_norm": 0.852280482540295, + "learning_rate": 9.260525770046642e-06, + "loss": 0.6906, + "step": 22830 + }, + { + "epoch": 0.54, + "grad_norm": 1.4989477278069043, + "learning_rate": 9.259764820238318e-06, + "loss": 0.9366, + "step": 22831 + }, + { + "epoch": 0.54, + "grad_norm": 1.8534685514613063, + "learning_rate": 9.259003874739885e-06, + "loss": 0.9434, + "step": 22832 + }, + { + "epoch": 0.54, + "grad_norm": 2.158077468304837, + "learning_rate": 9.258242933555759e-06, + "loss": 0.8105, + "step": 22833 + }, + { + "epoch": 0.54, + "grad_norm": 1.6056205421135317, + "learning_rate": 9.25748199669038e-06, + "loss": 0.9386, + "step": 22834 + }, + { + "epoch": 0.54, + "grad_norm": 0.799052732272174, + "learning_rate": 9.256721064148173e-06, + "loss": 0.697, + "step": 22835 + }, + { + "epoch": 0.54, + "grad_norm": 1.8824568560114274, + "learning_rate": 9.255960135933577e-06, + "loss": 0.8304, + "step": 22836 + }, + { + "epoch": 0.54, + "grad_norm": 1.4858149567317815, + "learning_rate": 9.255199212051012e-06, + "loss": 0.8367, + "step": 22837 + }, + { + "epoch": 0.54, + "grad_norm": 1.6680867839238183, + "learning_rate": 9.254438292504915e-06, + "loss": 0.9124, + "step": 22838 + }, + { + "epoch": 0.54, + "grad_norm": 0.7690916273262371, + "learning_rate": 9.253677377299716e-06, + "loss": 0.6854, + "step": 22839 + }, + { + "epoch": 0.54, + "grad_norm": 1.6476824249188986, + "learning_rate": 9.252916466439839e-06, + "loss": 0.8317, + "step": 22840 + }, + { + "epoch": 0.54, + "grad_norm": 2.5583030935305713, + "learning_rate": 9.252155559929722e-06, + "loss": 0.852, + "step": 22841 + }, + { + "epoch": 0.54, + "grad_norm": 1.419454130343862, + "learning_rate": 9.25139465777379e-06, + "loss": 0.8417, + "step": 22842 + }, + { + "epoch": 0.54, + "grad_norm": 2.0896955646748454, + "learning_rate": 9.25063375997648e-06, + "loss": 0.9513, + "step": 22843 + }, + { + "epoch": 0.54, + "grad_norm": 1.6657993682130472, + "learning_rate": 9.249872866542211e-06, + "loss": 0.894, + "step": 22844 + }, + { + "epoch": 0.54, + "grad_norm": 1.3668852592499776, + "learning_rate": 9.249111977475422e-06, + "loss": 0.7922, + "step": 22845 + }, + { + "epoch": 0.54, + "grad_norm": 1.4465333685291373, + "learning_rate": 9.248351092780544e-06, + "loss": 0.9022, + "step": 22846 + }, + { + "epoch": 0.54, + "grad_norm": 1.6294954957466077, + "learning_rate": 9.247590212462001e-06, + "loss": 0.9607, + "step": 22847 + }, + { + "epoch": 0.54, + "grad_norm": 1.6812649617337603, + "learning_rate": 9.246829336524225e-06, + "loss": 0.9205, + "step": 22848 + }, + { + "epoch": 0.54, + "grad_norm": 0.8336256018056969, + "learning_rate": 9.246068464971649e-06, + "loss": 0.7571, + "step": 22849 + }, + { + "epoch": 0.54, + "grad_norm": 2.400921379402302, + "learning_rate": 9.245307597808702e-06, + "loss": 0.7723, + "step": 22850 + }, + { + "epoch": 0.54, + "grad_norm": 1.4883673669509663, + "learning_rate": 9.244546735039811e-06, + "loss": 0.7959, + "step": 22851 + }, + { + "epoch": 0.54, + "grad_norm": 1.619276476692481, + "learning_rate": 9.243785876669407e-06, + "loss": 0.8265, + "step": 22852 + }, + { + "epoch": 0.54, + "grad_norm": 0.7608837890849298, + "learning_rate": 9.243025022701926e-06, + "loss": 0.7746, + "step": 22853 + }, + { + "epoch": 0.54, + "grad_norm": 0.7543173860676499, + "learning_rate": 9.242264173141789e-06, + "loss": 0.7162, + "step": 22854 + }, + { + "epoch": 0.54, + "grad_norm": 1.6331970523139625, + "learning_rate": 9.24150332799343e-06, + "loss": 0.9574, + "step": 22855 + }, + { + "epoch": 0.54, + "grad_norm": 1.8124827438914746, + "learning_rate": 9.240742487261279e-06, + "loss": 0.8969, + "step": 22856 + }, + { + "epoch": 0.54, + "grad_norm": 1.6279277197589093, + "learning_rate": 9.239981650949768e-06, + "loss": 0.865, + "step": 22857 + }, + { + "epoch": 0.54, + "grad_norm": 1.6193609935402251, + "learning_rate": 9.239220819063322e-06, + "loss": 0.7286, + "step": 22858 + }, + { + "epoch": 0.54, + "grad_norm": 1.5901943387427975, + "learning_rate": 9.238459991606371e-06, + "loss": 0.8782, + "step": 22859 + }, + { + "epoch": 0.54, + "grad_norm": 0.7982398475242418, + "learning_rate": 9.237699168583355e-06, + "loss": 0.7673, + "step": 22860 + }, + { + "epoch": 0.54, + "grad_norm": 1.8462799151814544, + "learning_rate": 9.236938349998688e-06, + "loss": 0.8239, + "step": 22861 + }, + { + "epoch": 0.54, + "grad_norm": 1.8025835212790755, + "learning_rate": 9.23617753585681e-06, + "loss": 0.9321, + "step": 22862 + }, + { + "epoch": 0.54, + "grad_norm": 2.150557925617014, + "learning_rate": 9.235416726162147e-06, + "loss": 0.9081, + "step": 22863 + }, + { + "epoch": 0.54, + "grad_norm": 1.6142567184857621, + "learning_rate": 9.234655920919135e-06, + "loss": 0.9158, + "step": 22864 + }, + { + "epoch": 0.54, + "grad_norm": 1.729301219055645, + "learning_rate": 9.233895120132192e-06, + "loss": 0.7915, + "step": 22865 + }, + { + "epoch": 0.54, + "grad_norm": 1.6514658577681127, + "learning_rate": 9.233134323805757e-06, + "loss": 0.9319, + "step": 22866 + }, + { + "epoch": 0.54, + "grad_norm": 1.8330534298248746, + "learning_rate": 9.23237353194426e-06, + "loss": 0.8617, + "step": 22867 + }, + { + "epoch": 0.54, + "grad_norm": 1.473459311117769, + "learning_rate": 9.231612744552123e-06, + "loss": 0.8108, + "step": 22868 + }, + { + "epoch": 0.54, + "grad_norm": 1.7208289843151763, + "learning_rate": 9.230851961633779e-06, + "loss": 0.8338, + "step": 22869 + }, + { + "epoch": 0.54, + "grad_norm": 1.4295975241610133, + "learning_rate": 9.230091183193659e-06, + "loss": 0.7172, + "step": 22870 + }, + { + "epoch": 0.54, + "grad_norm": 1.65840570881269, + "learning_rate": 9.229330409236196e-06, + "loss": 0.853, + "step": 22871 + }, + { + "epoch": 0.54, + "grad_norm": 1.6240495920799167, + "learning_rate": 9.22856963976581e-06, + "loss": 0.8669, + "step": 22872 + }, + { + "epoch": 0.54, + "grad_norm": 1.7622950963407549, + "learning_rate": 9.227808874786937e-06, + "loss": 0.9689, + "step": 22873 + }, + { + "epoch": 0.54, + "grad_norm": 1.7783428977708355, + "learning_rate": 9.22704811430401e-06, + "loss": 0.8647, + "step": 22874 + }, + { + "epoch": 0.54, + "grad_norm": 1.8090865658627304, + "learning_rate": 9.22628735832145e-06, + "loss": 0.9123, + "step": 22875 + }, + { + "epoch": 0.54, + "grad_norm": 1.6173861840176345, + "learning_rate": 9.225526606843687e-06, + "loss": 0.9606, + "step": 22876 + }, + { + "epoch": 0.54, + "grad_norm": 2.066316010681888, + "learning_rate": 9.224765859875157e-06, + "loss": 0.9412, + "step": 22877 + }, + { + "epoch": 0.54, + "grad_norm": 2.1289970981446964, + "learning_rate": 9.224005117420287e-06, + "loss": 0.7694, + "step": 22878 + }, + { + "epoch": 0.54, + "grad_norm": 1.6862163429775416, + "learning_rate": 9.223244379483502e-06, + "loss": 0.7321, + "step": 22879 + }, + { + "epoch": 0.54, + "grad_norm": 1.7371001633813115, + "learning_rate": 9.222483646069233e-06, + "loss": 0.8879, + "step": 22880 + }, + { + "epoch": 0.54, + "grad_norm": 1.6908459268695097, + "learning_rate": 9.221722917181917e-06, + "loss": 0.8209, + "step": 22881 + }, + { + "epoch": 0.54, + "grad_norm": 1.6958469190967758, + "learning_rate": 9.22096219282597e-06, + "loss": 0.7978, + "step": 22882 + }, + { + "epoch": 0.54, + "grad_norm": 1.7941920254581578, + "learning_rate": 9.220201473005828e-06, + "loss": 0.8945, + "step": 22883 + }, + { + "epoch": 0.54, + "grad_norm": 1.534187479374231, + "learning_rate": 9.21944075772592e-06, + "loss": 0.8915, + "step": 22884 + }, + { + "epoch": 0.54, + "grad_norm": 2.2689013257231463, + "learning_rate": 9.218680046990678e-06, + "loss": 0.8947, + "step": 22885 + }, + { + "epoch": 0.54, + "grad_norm": 1.7351270248907393, + "learning_rate": 9.217919340804527e-06, + "loss": 0.9327, + "step": 22886 + }, + { + "epoch": 0.54, + "grad_norm": 0.7343637761099444, + "learning_rate": 9.217158639171898e-06, + "loss": 0.6904, + "step": 22887 + }, + { + "epoch": 0.54, + "grad_norm": 1.680663992470602, + "learning_rate": 9.216397942097219e-06, + "loss": 0.8137, + "step": 22888 + }, + { + "epoch": 0.54, + "grad_norm": 1.5616091879267424, + "learning_rate": 9.215637249584915e-06, + "loss": 0.8112, + "step": 22889 + }, + { + "epoch": 0.54, + "grad_norm": 1.5973571951811076, + "learning_rate": 9.214876561639424e-06, + "loss": 0.9476, + "step": 22890 + }, + { + "epoch": 0.54, + "grad_norm": 1.6480202838621734, + "learning_rate": 9.214115878265168e-06, + "loss": 0.8173, + "step": 22891 + }, + { + "epoch": 0.54, + "grad_norm": 1.5581899379163606, + "learning_rate": 9.213355199466582e-06, + "loss": 0.7652, + "step": 22892 + }, + { + "epoch": 0.54, + "grad_norm": 3.2855703784173875, + "learning_rate": 9.212594525248086e-06, + "loss": 0.888, + "step": 22893 + }, + { + "epoch": 0.54, + "grad_norm": 1.8736954036688864, + "learning_rate": 9.211833855614115e-06, + "loss": 0.819, + "step": 22894 + }, + { + "epoch": 0.54, + "grad_norm": 1.8020990404920434, + "learning_rate": 9.2110731905691e-06, + "loss": 0.8616, + "step": 22895 + }, + { + "epoch": 0.54, + "grad_norm": 1.539948017436802, + "learning_rate": 9.210312530117464e-06, + "loss": 0.8748, + "step": 22896 + }, + { + "epoch": 0.54, + "grad_norm": 1.4419037219420563, + "learning_rate": 9.209551874263637e-06, + "loss": 0.8186, + "step": 22897 + }, + { + "epoch": 0.54, + "grad_norm": 1.6473495098263498, + "learning_rate": 9.208791223012051e-06, + "loss": 0.8315, + "step": 22898 + }, + { + "epoch": 0.54, + "grad_norm": 1.4303954284392013, + "learning_rate": 9.208030576367136e-06, + "loss": 0.8779, + "step": 22899 + }, + { + "epoch": 0.54, + "grad_norm": 1.7385195462797318, + "learning_rate": 9.207269934333315e-06, + "loss": 0.8473, + "step": 22900 + }, + { + "epoch": 0.54, + "grad_norm": 1.6997957835536253, + "learning_rate": 9.206509296915016e-06, + "loss": 0.8535, + "step": 22901 + }, + { + "epoch": 0.54, + "grad_norm": 1.6884307088928874, + "learning_rate": 9.205748664116677e-06, + "loss": 0.7865, + "step": 22902 + }, + { + "epoch": 0.54, + "grad_norm": 0.8154163712674855, + "learning_rate": 9.20498803594272e-06, + "loss": 0.7734, + "step": 22903 + }, + { + "epoch": 0.54, + "grad_norm": 1.7786131494122313, + "learning_rate": 9.20422741239757e-06, + "loss": 0.7837, + "step": 22904 + }, + { + "epoch": 0.54, + "grad_norm": 1.6953346843190908, + "learning_rate": 9.203466793485662e-06, + "loss": 0.8656, + "step": 22905 + }, + { + "epoch": 0.54, + "grad_norm": 0.7427221503938681, + "learning_rate": 9.202706179211425e-06, + "loss": 0.758, + "step": 22906 + }, + { + "epoch": 0.54, + "grad_norm": 2.1654646636198414, + "learning_rate": 9.201945569579283e-06, + "loss": 0.842, + "step": 22907 + }, + { + "epoch": 0.54, + "grad_norm": 1.6197197520703261, + "learning_rate": 9.201184964593664e-06, + "loss": 0.8092, + "step": 22908 + }, + { + "epoch": 0.54, + "grad_norm": 1.8161750856099552, + "learning_rate": 9.200424364259006e-06, + "loss": 0.8839, + "step": 22909 + }, + { + "epoch": 0.54, + "grad_norm": 1.7255592284081192, + "learning_rate": 9.199663768579724e-06, + "loss": 0.836, + "step": 22910 + }, + { + "epoch": 0.54, + "grad_norm": 1.6647712958561882, + "learning_rate": 9.198903177560255e-06, + "loss": 0.8234, + "step": 22911 + }, + { + "epoch": 0.54, + "grad_norm": 1.7526253413803365, + "learning_rate": 9.198142591205022e-06, + "loss": 0.8731, + "step": 22912 + }, + { + "epoch": 0.54, + "grad_norm": 1.6159193331767205, + "learning_rate": 9.197382009518465e-06, + "loss": 0.8558, + "step": 22913 + }, + { + "epoch": 0.54, + "grad_norm": 1.523378808200742, + "learning_rate": 9.196621432504996e-06, + "loss": 0.9902, + "step": 22914 + }, + { + "epoch": 0.54, + "grad_norm": 0.7428988359087093, + "learning_rate": 9.195860860169054e-06, + "loss": 0.7223, + "step": 22915 + }, + { + "epoch": 0.54, + "grad_norm": 1.669810733282531, + "learning_rate": 9.195100292515064e-06, + "loss": 0.8289, + "step": 22916 + }, + { + "epoch": 0.54, + "grad_norm": 1.6071578390127792, + "learning_rate": 9.194339729547461e-06, + "loss": 0.762, + "step": 22917 + }, + { + "epoch": 0.54, + "grad_norm": 1.5912033555172505, + "learning_rate": 9.193579171270659e-06, + "loss": 1.0128, + "step": 22918 + }, + { + "epoch": 0.54, + "grad_norm": 1.789172446303598, + "learning_rate": 9.192818617689097e-06, + "loss": 0.9007, + "step": 22919 + }, + { + "epoch": 0.54, + "grad_norm": 1.8348154469134157, + "learning_rate": 9.192058068807203e-06, + "loss": 0.8611, + "step": 22920 + }, + { + "epoch": 0.54, + "grad_norm": 1.7530688771657175, + "learning_rate": 9.191297524629398e-06, + "loss": 0.8457, + "step": 22921 + }, + { + "epoch": 0.54, + "grad_norm": 2.136489652441868, + "learning_rate": 9.190536985160119e-06, + "loss": 0.8632, + "step": 22922 + }, + { + "epoch": 0.54, + "grad_norm": 1.619811118971683, + "learning_rate": 9.189776450403789e-06, + "loss": 0.8481, + "step": 22923 + }, + { + "epoch": 0.54, + "grad_norm": 1.8085922239981511, + "learning_rate": 9.189015920364839e-06, + "loss": 0.6943, + "step": 22924 + }, + { + "epoch": 0.54, + "grad_norm": 1.4904158401745804, + "learning_rate": 9.18825539504769e-06, + "loss": 0.7692, + "step": 22925 + }, + { + "epoch": 0.54, + "grad_norm": 1.7374584220674871, + "learning_rate": 9.187494874456777e-06, + "loss": 0.8006, + "step": 22926 + }, + { + "epoch": 0.54, + "grad_norm": 0.794199673212808, + "learning_rate": 9.186734358596529e-06, + "loss": 0.6343, + "step": 22927 + }, + { + "epoch": 0.54, + "grad_norm": 1.710573048693814, + "learning_rate": 9.185973847471369e-06, + "loss": 1.0163, + "step": 22928 + }, + { + "epoch": 0.54, + "grad_norm": 2.4418022968802897, + "learning_rate": 9.185213341085725e-06, + "loss": 0.9412, + "step": 22929 + }, + { + "epoch": 0.54, + "grad_norm": 1.6065651234049374, + "learning_rate": 9.184452839444029e-06, + "loss": 0.922, + "step": 22930 + }, + { + "epoch": 0.54, + "grad_norm": 1.6435831215382712, + "learning_rate": 9.183692342550708e-06, + "loss": 0.8428, + "step": 22931 + }, + { + "epoch": 0.54, + "grad_norm": 1.8878529637175205, + "learning_rate": 9.182931850410187e-06, + "loss": 0.7463, + "step": 22932 + }, + { + "epoch": 0.54, + "grad_norm": 2.1139610942524354, + "learning_rate": 9.182171363026894e-06, + "loss": 0.941, + "step": 22933 + }, + { + "epoch": 0.54, + "grad_norm": 1.6221920699206027, + "learning_rate": 9.181410880405262e-06, + "loss": 0.8163, + "step": 22934 + }, + { + "epoch": 0.54, + "grad_norm": 1.3808355933850116, + "learning_rate": 9.180650402549713e-06, + "loss": 0.8745, + "step": 22935 + }, + { + "epoch": 0.54, + "grad_norm": 1.6679718727674722, + "learning_rate": 9.179889929464676e-06, + "loss": 0.9489, + "step": 22936 + }, + { + "epoch": 0.54, + "grad_norm": 0.8021248136000398, + "learning_rate": 9.179129461154578e-06, + "loss": 0.7496, + "step": 22937 + }, + { + "epoch": 0.54, + "grad_norm": 1.69591516521016, + "learning_rate": 9.178368997623853e-06, + "loss": 0.8285, + "step": 22938 + }, + { + "epoch": 0.54, + "grad_norm": 1.7984899007681596, + "learning_rate": 9.17760853887692e-06, + "loss": 0.8417, + "step": 22939 + }, + { + "epoch": 0.54, + "grad_norm": 1.440719674266089, + "learning_rate": 9.176848084918212e-06, + "loss": 0.8407, + "step": 22940 + }, + { + "epoch": 0.54, + "grad_norm": 2.2404860668978968, + "learning_rate": 9.176087635752157e-06, + "loss": 0.8881, + "step": 22941 + }, + { + "epoch": 0.54, + "grad_norm": 0.7745273849618561, + "learning_rate": 9.175327191383175e-06, + "loss": 0.6847, + "step": 22942 + }, + { + "epoch": 0.54, + "grad_norm": 2.413433300043305, + "learning_rate": 9.174566751815704e-06, + "loss": 0.8151, + "step": 22943 + }, + { + "epoch": 0.54, + "grad_norm": 1.8300129386537465, + "learning_rate": 9.173806317054161e-06, + "loss": 0.9338, + "step": 22944 + }, + { + "epoch": 0.54, + "grad_norm": 1.686014265339895, + "learning_rate": 9.173045887102988e-06, + "loss": 0.8191, + "step": 22945 + }, + { + "epoch": 0.54, + "grad_norm": 1.5651737230018228, + "learning_rate": 9.172285461966597e-06, + "loss": 0.8584, + "step": 22946 + }, + { + "epoch": 0.54, + "grad_norm": 1.637494889587607, + "learning_rate": 9.171525041649423e-06, + "loss": 0.8988, + "step": 22947 + }, + { + "epoch": 0.54, + "grad_norm": 2.0793007775334713, + "learning_rate": 9.170764626155896e-06, + "loss": 0.792, + "step": 22948 + }, + { + "epoch": 0.54, + "grad_norm": 2.2836712508701793, + "learning_rate": 9.170004215490438e-06, + "loss": 0.9507, + "step": 22949 + }, + { + "epoch": 0.54, + "grad_norm": 1.6892007271258442, + "learning_rate": 9.169243809657476e-06, + "loss": 0.8473, + "step": 22950 + }, + { + "epoch": 0.54, + "grad_norm": 1.696114922726681, + "learning_rate": 9.16848340866144e-06, + "loss": 0.7609, + "step": 22951 + }, + { + "epoch": 0.54, + "grad_norm": 1.5943194520383488, + "learning_rate": 9.16772301250676e-06, + "loss": 0.9711, + "step": 22952 + }, + { + "epoch": 0.54, + "grad_norm": 2.824147846643854, + "learning_rate": 9.16696262119786e-06, + "loss": 0.8703, + "step": 22953 + }, + { + "epoch": 0.54, + "grad_norm": 1.5793767164006707, + "learning_rate": 9.166202234739161e-06, + "loss": 0.8883, + "step": 22954 + }, + { + "epoch": 0.54, + "grad_norm": 1.6339695476867067, + "learning_rate": 9.165441853135104e-06, + "loss": 0.899, + "step": 22955 + }, + { + "epoch": 0.54, + "grad_norm": 1.90243974283206, + "learning_rate": 9.164681476390107e-06, + "loss": 0.9184, + "step": 22956 + }, + { + "epoch": 0.54, + "grad_norm": 1.4771010019103437, + "learning_rate": 9.163921104508593e-06, + "loss": 0.8108, + "step": 22957 + }, + { + "epoch": 0.54, + "grad_norm": 1.5919858002370726, + "learning_rate": 9.163160737495e-06, + "loss": 0.903, + "step": 22958 + }, + { + "epoch": 0.54, + "grad_norm": 1.623887506913462, + "learning_rate": 9.162400375353752e-06, + "loss": 0.8903, + "step": 22959 + }, + { + "epoch": 0.54, + "grad_norm": 1.9280543069547416, + "learning_rate": 9.161640018089273e-06, + "loss": 0.8362, + "step": 22960 + }, + { + "epoch": 0.54, + "grad_norm": 1.6922199013814736, + "learning_rate": 9.160879665705988e-06, + "loss": 0.988, + "step": 22961 + }, + { + "epoch": 0.54, + "grad_norm": 1.6507533746243153, + "learning_rate": 9.160119318208334e-06, + "loss": 0.8692, + "step": 22962 + }, + { + "epoch": 0.54, + "grad_norm": 2.4941146604608035, + "learning_rate": 9.159358975600723e-06, + "loss": 0.8089, + "step": 22963 + }, + { + "epoch": 0.54, + "grad_norm": 1.8210393878961615, + "learning_rate": 9.158598637887594e-06, + "loss": 0.8394, + "step": 22964 + }, + { + "epoch": 0.54, + "grad_norm": 1.5475205831157448, + "learning_rate": 9.15783830507337e-06, + "loss": 0.9175, + "step": 22965 + }, + { + "epoch": 0.54, + "grad_norm": 1.562668274259771, + "learning_rate": 9.157077977162481e-06, + "loss": 0.8109, + "step": 22966 + }, + { + "epoch": 0.54, + "grad_norm": 1.7528602732294039, + "learning_rate": 9.156317654159346e-06, + "loss": 0.8654, + "step": 22967 + }, + { + "epoch": 0.54, + "grad_norm": 1.4714541582408738, + "learning_rate": 9.155557336068399e-06, + "loss": 0.838, + "step": 22968 + }, + { + "epoch": 0.54, + "grad_norm": 1.9003467566390335, + "learning_rate": 9.154797022894067e-06, + "loss": 0.8834, + "step": 22969 + }, + { + "epoch": 0.54, + "grad_norm": 0.7190978625300362, + "learning_rate": 9.154036714640768e-06, + "loss": 0.7711, + "step": 22970 + }, + { + "epoch": 0.54, + "grad_norm": 1.8582922743982426, + "learning_rate": 9.15327641131294e-06, + "loss": 0.7979, + "step": 22971 + }, + { + "epoch": 0.54, + "grad_norm": 1.4713057723168441, + "learning_rate": 9.152516112915002e-06, + "loss": 0.9018, + "step": 22972 + }, + { + "epoch": 0.54, + "grad_norm": 1.704058959658619, + "learning_rate": 9.151755819451387e-06, + "loss": 0.8379, + "step": 22973 + }, + { + "epoch": 0.54, + "grad_norm": 1.8003022357207095, + "learning_rate": 9.150995530926515e-06, + "loss": 0.8061, + "step": 22974 + }, + { + "epoch": 0.54, + "grad_norm": 1.6463381363049436, + "learning_rate": 9.150235247344817e-06, + "loss": 0.8228, + "step": 22975 + }, + { + "epoch": 0.54, + "grad_norm": 1.5660142079275494, + "learning_rate": 9.14947496871072e-06, + "loss": 0.7593, + "step": 22976 + }, + { + "epoch": 0.54, + "grad_norm": 1.7533799780707218, + "learning_rate": 9.148714695028647e-06, + "loss": 0.856, + "step": 22977 + }, + { + "epoch": 0.54, + "grad_norm": 1.5418874953897848, + "learning_rate": 9.147954426303024e-06, + "loss": 0.7748, + "step": 22978 + }, + { + "epoch": 0.54, + "grad_norm": 0.7662179394017231, + "learning_rate": 9.147194162538284e-06, + "loss": 0.7353, + "step": 22979 + }, + { + "epoch": 0.54, + "grad_norm": 1.5674591875111088, + "learning_rate": 9.14643390373885e-06, + "loss": 0.8109, + "step": 22980 + }, + { + "epoch": 0.54, + "grad_norm": 1.5319848661289246, + "learning_rate": 9.145673649909147e-06, + "loss": 0.9304, + "step": 22981 + }, + { + "epoch": 0.54, + "grad_norm": 0.7591064256343214, + "learning_rate": 9.144913401053599e-06, + "loss": 0.6925, + "step": 22982 + }, + { + "epoch": 0.54, + "grad_norm": 1.7481180466582822, + "learning_rate": 9.144153157176641e-06, + "loss": 0.9862, + "step": 22983 + }, + { + "epoch": 0.54, + "grad_norm": 1.5911732959892566, + "learning_rate": 9.143392918282693e-06, + "loss": 0.7909, + "step": 22984 + }, + { + "epoch": 0.54, + "grad_norm": 0.7893907039922818, + "learning_rate": 9.14263268437618e-06, + "loss": 0.7328, + "step": 22985 + }, + { + "epoch": 0.54, + "grad_norm": 1.5565139168960493, + "learning_rate": 9.141872455461532e-06, + "loss": 0.7925, + "step": 22986 + }, + { + "epoch": 0.54, + "grad_norm": 1.6776801173641243, + "learning_rate": 9.141112231543177e-06, + "loss": 1.0165, + "step": 22987 + }, + { + "epoch": 0.54, + "grad_norm": 1.6898144113629687, + "learning_rate": 9.140352012625538e-06, + "loss": 0.9389, + "step": 22988 + }, + { + "epoch": 0.54, + "grad_norm": 1.9288329545942011, + "learning_rate": 9.139591798713038e-06, + "loss": 0.8713, + "step": 22989 + }, + { + "epoch": 0.54, + "grad_norm": 1.8638595293111169, + "learning_rate": 9.138831589810111e-06, + "loss": 0.889, + "step": 22990 + }, + { + "epoch": 0.54, + "grad_norm": 0.711081718674951, + "learning_rate": 9.138071385921176e-06, + "loss": 0.7152, + "step": 22991 + }, + { + "epoch": 0.54, + "grad_norm": 1.5928288753963862, + "learning_rate": 9.137311187050663e-06, + "loss": 0.9491, + "step": 22992 + }, + { + "epoch": 0.54, + "grad_norm": 2.0374996966110785, + "learning_rate": 9.136550993202997e-06, + "loss": 0.8487, + "step": 22993 + }, + { + "epoch": 0.54, + "grad_norm": 0.7895238264415674, + "learning_rate": 9.13579080438261e-06, + "loss": 0.679, + "step": 22994 + }, + { + "epoch": 0.54, + "grad_norm": 1.9851371100734108, + "learning_rate": 9.135030620593915e-06, + "loss": 0.7964, + "step": 22995 + }, + { + "epoch": 0.54, + "grad_norm": 1.4522418077596861, + "learning_rate": 9.13427044184135e-06, + "loss": 0.9423, + "step": 22996 + }, + { + "epoch": 0.54, + "grad_norm": 1.6171211351831265, + "learning_rate": 9.133510268129337e-06, + "loss": 0.8195, + "step": 22997 + }, + { + "epoch": 0.54, + "grad_norm": 0.7198651867736872, + "learning_rate": 9.1327500994623e-06, + "loss": 0.6546, + "step": 22998 + }, + { + "epoch": 0.54, + "grad_norm": 1.9541195288092679, + "learning_rate": 9.131989935844663e-06, + "loss": 0.9093, + "step": 22999 + }, + { + "epoch": 0.54, + "grad_norm": 1.5607358365051411, + "learning_rate": 9.131229777280859e-06, + "loss": 0.6619, + "step": 23000 + }, + { + "epoch": 0.54, + "grad_norm": 1.4714298041486222, + "learning_rate": 9.130469623775312e-06, + "loss": 0.8802, + "step": 23001 + }, + { + "epoch": 0.54, + "grad_norm": 1.6777519268454482, + "learning_rate": 9.129709475332445e-06, + "loss": 0.8054, + "step": 23002 + }, + { + "epoch": 0.54, + "grad_norm": 0.7967354290894243, + "learning_rate": 9.12894933195668e-06, + "loss": 0.6999, + "step": 23003 + }, + { + "epoch": 0.54, + "grad_norm": 1.5150917208777535, + "learning_rate": 9.128189193652455e-06, + "loss": 0.8652, + "step": 23004 + }, + { + "epoch": 0.54, + "grad_norm": 1.4843981182461146, + "learning_rate": 9.127429060424184e-06, + "loss": 0.7922, + "step": 23005 + }, + { + "epoch": 0.54, + "grad_norm": 1.5306419442817718, + "learning_rate": 9.126668932276298e-06, + "loss": 0.9201, + "step": 23006 + }, + { + "epoch": 0.54, + "grad_norm": 0.7498223789924323, + "learning_rate": 9.125908809213221e-06, + "loss": 0.6954, + "step": 23007 + }, + { + "epoch": 0.54, + "grad_norm": 0.7347642236145625, + "learning_rate": 9.125148691239383e-06, + "loss": 0.6935, + "step": 23008 + }, + { + "epoch": 0.54, + "grad_norm": 1.8364307664958481, + "learning_rate": 9.124388578359206e-06, + "loss": 0.9461, + "step": 23009 + }, + { + "epoch": 0.54, + "grad_norm": 1.6881953807892267, + "learning_rate": 9.123628470577111e-06, + "loss": 0.9029, + "step": 23010 + }, + { + "epoch": 0.54, + "grad_norm": 1.9183849093816003, + "learning_rate": 9.122868367897537e-06, + "loss": 0.8227, + "step": 23011 + }, + { + "epoch": 0.54, + "grad_norm": 1.4560220947477907, + "learning_rate": 9.122108270324894e-06, + "loss": 0.7168, + "step": 23012 + }, + { + "epoch": 0.54, + "grad_norm": 1.9308530616579866, + "learning_rate": 9.121348177863615e-06, + "loss": 0.814, + "step": 23013 + }, + { + "epoch": 0.54, + "grad_norm": 2.004188341963954, + "learning_rate": 9.120588090518126e-06, + "loss": 0.8863, + "step": 23014 + }, + { + "epoch": 0.54, + "grad_norm": 2.1231865824842657, + "learning_rate": 9.119828008292856e-06, + "loss": 0.7842, + "step": 23015 + }, + { + "epoch": 0.54, + "grad_norm": 1.6262114338201887, + "learning_rate": 9.11906793119222e-06, + "loss": 0.8929, + "step": 23016 + }, + { + "epoch": 0.54, + "grad_norm": 1.8003665611993602, + "learning_rate": 9.118307859220651e-06, + "loss": 0.9806, + "step": 23017 + }, + { + "epoch": 0.54, + "grad_norm": 0.7321181331475778, + "learning_rate": 9.117547792382577e-06, + "loss": 0.7063, + "step": 23018 + }, + { + "epoch": 0.54, + "grad_norm": 2.086727470994316, + "learning_rate": 9.116787730682413e-06, + "loss": 0.9176, + "step": 23019 + }, + { + "epoch": 0.54, + "grad_norm": 2.0081846974508384, + "learning_rate": 9.116027674124592e-06, + "loss": 0.9093, + "step": 23020 + }, + { + "epoch": 0.54, + "grad_norm": 3.706369607691953, + "learning_rate": 9.115267622713539e-06, + "loss": 0.6817, + "step": 23021 + }, + { + "epoch": 0.54, + "grad_norm": 1.6331038716462731, + "learning_rate": 9.11450757645368e-06, + "loss": 0.9594, + "step": 23022 + }, + { + "epoch": 0.54, + "grad_norm": 1.5933445269403572, + "learning_rate": 9.113747535349433e-06, + "loss": 0.9052, + "step": 23023 + }, + { + "epoch": 0.54, + "grad_norm": 1.917936113842475, + "learning_rate": 9.112987499405232e-06, + "loss": 0.8025, + "step": 23024 + }, + { + "epoch": 0.54, + "grad_norm": 1.5000159277239504, + "learning_rate": 9.112227468625499e-06, + "loss": 0.7799, + "step": 23025 + }, + { + "epoch": 0.54, + "grad_norm": 1.5263340217501002, + "learning_rate": 9.11146744301466e-06, + "loss": 0.8023, + "step": 23026 + }, + { + "epoch": 0.54, + "grad_norm": 1.5935784828063917, + "learning_rate": 9.110707422577133e-06, + "loss": 0.8025, + "step": 23027 + }, + { + "epoch": 0.54, + "grad_norm": 1.6419460737470446, + "learning_rate": 9.109947407317352e-06, + "loss": 0.8664, + "step": 23028 + }, + { + "epoch": 0.54, + "grad_norm": 1.5318425164418261, + "learning_rate": 9.109187397239742e-06, + "loss": 0.8624, + "step": 23029 + }, + { + "epoch": 0.54, + "grad_norm": 0.7583590786844187, + "learning_rate": 9.108427392348722e-06, + "loss": 0.7708, + "step": 23030 + }, + { + "epoch": 0.54, + "grad_norm": 1.6116552534885447, + "learning_rate": 9.107667392648718e-06, + "loss": 1.0255, + "step": 23031 + }, + { + "epoch": 0.54, + "grad_norm": 0.7438585602220411, + "learning_rate": 9.10690739814416e-06, + "loss": 0.7336, + "step": 23032 + }, + { + "epoch": 0.54, + "grad_norm": 1.4742149888449867, + "learning_rate": 9.10614740883947e-06, + "loss": 0.8642, + "step": 23033 + }, + { + "epoch": 0.54, + "grad_norm": 1.469732538794093, + "learning_rate": 9.105387424739073e-06, + "loss": 0.9014, + "step": 23034 + }, + { + "epoch": 0.54, + "grad_norm": 1.6165292752115203, + "learning_rate": 9.10462744584739e-06, + "loss": 0.8341, + "step": 23035 + }, + { + "epoch": 0.54, + "grad_norm": 1.495150580366537, + "learning_rate": 9.103867472168854e-06, + "loss": 0.791, + "step": 23036 + }, + { + "epoch": 0.54, + "grad_norm": 1.6077613115488845, + "learning_rate": 9.103107503707885e-06, + "loss": 0.886, + "step": 23037 + }, + { + "epoch": 0.54, + "grad_norm": 2.187784502488066, + "learning_rate": 9.102347540468906e-06, + "loss": 0.9362, + "step": 23038 + }, + { + "epoch": 0.54, + "grad_norm": 0.7572644585277174, + "learning_rate": 9.101587582456342e-06, + "loss": 0.7787, + "step": 23039 + }, + { + "epoch": 0.54, + "grad_norm": 1.6567451450804118, + "learning_rate": 9.100827629674623e-06, + "loss": 0.9775, + "step": 23040 + }, + { + "epoch": 0.54, + "grad_norm": 1.568763244266842, + "learning_rate": 9.10006768212817e-06, + "loss": 0.9457, + "step": 23041 + }, + { + "epoch": 0.54, + "grad_norm": 1.7126771404475454, + "learning_rate": 9.099307739821404e-06, + "loss": 0.7336, + "step": 23042 + }, + { + "epoch": 0.54, + "grad_norm": 1.7021548953586303, + "learning_rate": 9.098547802758762e-06, + "loss": 0.8088, + "step": 23043 + }, + { + "epoch": 0.54, + "grad_norm": 1.4895424285935965, + "learning_rate": 9.09778787094465e-06, + "loss": 0.8274, + "step": 23044 + }, + { + "epoch": 0.54, + "grad_norm": 1.638986207350254, + "learning_rate": 9.097027944383508e-06, + "loss": 0.8707, + "step": 23045 + }, + { + "epoch": 0.54, + "grad_norm": 1.715848581355866, + "learning_rate": 9.096268023079753e-06, + "loss": 0.8899, + "step": 23046 + }, + { + "epoch": 0.54, + "grad_norm": 1.439638992996208, + "learning_rate": 9.095508107037817e-06, + "loss": 0.8971, + "step": 23047 + }, + { + "epoch": 0.54, + "grad_norm": 1.5617514218563178, + "learning_rate": 9.094748196262114e-06, + "loss": 0.9411, + "step": 23048 + }, + { + "epoch": 0.54, + "grad_norm": 1.4938018940010165, + "learning_rate": 9.093988290757075e-06, + "loss": 0.829, + "step": 23049 + }, + { + "epoch": 0.54, + "grad_norm": 1.513097545199607, + "learning_rate": 9.093228390527123e-06, + "loss": 0.8366, + "step": 23050 + }, + { + "epoch": 0.54, + "grad_norm": 1.6205069656059226, + "learning_rate": 9.092468495576682e-06, + "loss": 0.8174, + "step": 23051 + }, + { + "epoch": 0.54, + "grad_norm": 1.6551727978176836, + "learning_rate": 9.091708605910175e-06, + "loss": 0.8752, + "step": 23052 + }, + { + "epoch": 0.54, + "grad_norm": 2.119331549084122, + "learning_rate": 9.09094872153203e-06, + "loss": 0.9254, + "step": 23053 + }, + { + "epoch": 0.54, + "grad_norm": 1.994071497709122, + "learning_rate": 9.090188842446672e-06, + "loss": 0.9622, + "step": 23054 + }, + { + "epoch": 0.54, + "grad_norm": 1.894369482585837, + "learning_rate": 9.089428968658518e-06, + "loss": 0.8841, + "step": 23055 + }, + { + "epoch": 0.54, + "grad_norm": 1.6230252283458297, + "learning_rate": 9.088669100171999e-06, + "loss": 0.8281, + "step": 23056 + }, + { + "epoch": 0.54, + "grad_norm": 1.5516281803743035, + "learning_rate": 9.08790923699154e-06, + "loss": 0.8999, + "step": 23057 + }, + { + "epoch": 0.54, + "grad_norm": 1.5993437341590935, + "learning_rate": 9.087149379121556e-06, + "loss": 0.9067, + "step": 23058 + }, + { + "epoch": 0.54, + "grad_norm": 1.7602924031546514, + "learning_rate": 9.08638952656648e-06, + "loss": 0.7613, + "step": 23059 + }, + { + "epoch": 0.54, + "grad_norm": 1.674521682075243, + "learning_rate": 9.085629679330733e-06, + "loss": 0.819, + "step": 23060 + }, + { + "epoch": 0.54, + "grad_norm": 1.6770704509214909, + "learning_rate": 9.084869837418742e-06, + "loss": 0.8432, + "step": 23061 + }, + { + "epoch": 0.54, + "grad_norm": 0.7626271318129159, + "learning_rate": 9.084110000834928e-06, + "loss": 0.757, + "step": 23062 + }, + { + "epoch": 0.54, + "grad_norm": 1.683266716766806, + "learning_rate": 9.083350169583711e-06, + "loss": 0.7647, + "step": 23063 + }, + { + "epoch": 0.54, + "grad_norm": 1.761118778167235, + "learning_rate": 9.082590343669526e-06, + "loss": 0.8596, + "step": 23064 + }, + { + "epoch": 0.54, + "grad_norm": 1.6468651745238898, + "learning_rate": 9.081830523096786e-06, + "loss": 0.7161, + "step": 23065 + }, + { + "epoch": 0.54, + "grad_norm": 1.6568448159010758, + "learning_rate": 9.081070707869921e-06, + "loss": 0.9354, + "step": 23066 + }, + { + "epoch": 0.54, + "grad_norm": 2.123141129675091, + "learning_rate": 9.08031089799335e-06, + "loss": 1.0196, + "step": 23067 + }, + { + "epoch": 0.54, + "grad_norm": 1.6667418136161627, + "learning_rate": 9.079551093471507e-06, + "loss": 0.855, + "step": 23068 + }, + { + "epoch": 0.54, + "grad_norm": 1.5885013104730623, + "learning_rate": 9.078791294308803e-06, + "loss": 0.806, + "step": 23069 + }, + { + "epoch": 0.54, + "grad_norm": 2.2459588522026173, + "learning_rate": 9.07803150050967e-06, + "loss": 0.7377, + "step": 23070 + }, + { + "epoch": 0.54, + "grad_norm": 1.9214338232007808, + "learning_rate": 9.077271712078531e-06, + "loss": 0.7914, + "step": 23071 + }, + { + "epoch": 0.54, + "grad_norm": 0.7709586108222651, + "learning_rate": 9.076511929019804e-06, + "loss": 0.7539, + "step": 23072 + }, + { + "epoch": 0.54, + "grad_norm": 1.690727559192968, + "learning_rate": 9.07575215133792e-06, + "loss": 0.8793, + "step": 23073 + }, + { + "epoch": 0.54, + "grad_norm": 1.649305375231017, + "learning_rate": 9.074992379037298e-06, + "loss": 0.8915, + "step": 23074 + }, + { + "epoch": 0.54, + "grad_norm": 1.564753838663814, + "learning_rate": 9.074232612122367e-06, + "loss": 0.795, + "step": 23075 + }, + { + "epoch": 0.54, + "grad_norm": 1.3482023211292518, + "learning_rate": 9.073472850597542e-06, + "loss": 0.8412, + "step": 23076 + }, + { + "epoch": 0.54, + "grad_norm": 1.5868077080373364, + "learning_rate": 9.072713094467253e-06, + "loss": 0.8749, + "step": 23077 + }, + { + "epoch": 0.54, + "grad_norm": 1.5340378176744838, + "learning_rate": 9.071953343735925e-06, + "loss": 0.9429, + "step": 23078 + }, + { + "epoch": 0.54, + "grad_norm": 1.6508738353166774, + "learning_rate": 9.071193598407975e-06, + "loss": 0.8257, + "step": 23079 + }, + { + "epoch": 0.54, + "grad_norm": 1.6135783820087608, + "learning_rate": 9.070433858487829e-06, + "loss": 0.8771, + "step": 23080 + }, + { + "epoch": 0.54, + "grad_norm": 1.5139080859468579, + "learning_rate": 9.069674123979912e-06, + "loss": 0.866, + "step": 23081 + }, + { + "epoch": 0.54, + "grad_norm": 0.7659797780638922, + "learning_rate": 9.068914394888651e-06, + "loss": 0.6851, + "step": 23082 + }, + { + "epoch": 0.54, + "grad_norm": 2.1931647183452707, + "learning_rate": 9.068154671218462e-06, + "loss": 0.7678, + "step": 23083 + }, + { + "epoch": 0.54, + "grad_norm": 2.0322574916332394, + "learning_rate": 9.06739495297377e-06, + "loss": 0.8927, + "step": 23084 + }, + { + "epoch": 0.54, + "grad_norm": 1.5529608363050929, + "learning_rate": 9.066635240159002e-06, + "loss": 0.8257, + "step": 23085 + }, + { + "epoch": 0.54, + "grad_norm": 1.7236552407207653, + "learning_rate": 9.065875532778578e-06, + "loss": 0.9593, + "step": 23086 + }, + { + "epoch": 0.54, + "grad_norm": 1.6042655056526052, + "learning_rate": 9.065115830836923e-06, + "loss": 0.9847, + "step": 23087 + }, + { + "epoch": 0.54, + "grad_norm": 1.7687989383997595, + "learning_rate": 9.064356134338459e-06, + "loss": 0.7743, + "step": 23088 + }, + { + "epoch": 0.54, + "grad_norm": 1.6583320807425295, + "learning_rate": 9.063596443287612e-06, + "loss": 0.8083, + "step": 23089 + }, + { + "epoch": 0.54, + "grad_norm": 0.7277268387622924, + "learning_rate": 9.0628367576888e-06, + "loss": 0.6869, + "step": 23090 + }, + { + "epoch": 0.54, + "grad_norm": 1.5034735618009338, + "learning_rate": 9.062077077546449e-06, + "loss": 0.9248, + "step": 23091 + }, + { + "epoch": 0.54, + "grad_norm": 1.7165545787524668, + "learning_rate": 9.061317402864988e-06, + "loss": 0.808, + "step": 23092 + }, + { + "epoch": 0.54, + "grad_norm": 1.4792380859697867, + "learning_rate": 9.060557733648827e-06, + "loss": 0.7898, + "step": 23093 + }, + { + "epoch": 0.54, + "grad_norm": 1.6462163944305896, + "learning_rate": 9.059798069902399e-06, + "loss": 0.8697, + "step": 23094 + }, + { + "epoch": 0.54, + "grad_norm": 1.367368846780734, + "learning_rate": 9.059038411630123e-06, + "loss": 0.8428, + "step": 23095 + }, + { + "epoch": 0.54, + "grad_norm": 1.9147378459177034, + "learning_rate": 9.058278758836428e-06, + "loss": 0.8381, + "step": 23096 + }, + { + "epoch": 0.54, + "grad_norm": 1.799322902238758, + "learning_rate": 9.057519111525728e-06, + "loss": 0.8575, + "step": 23097 + }, + { + "epoch": 0.54, + "grad_norm": 1.8493561977222348, + "learning_rate": 9.05675946970245e-06, + "loss": 0.8693, + "step": 23098 + }, + { + "epoch": 0.54, + "grad_norm": 1.935449175409041, + "learning_rate": 9.05599983337102e-06, + "loss": 0.9502, + "step": 23099 + }, + { + "epoch": 0.54, + "grad_norm": 1.5731674429798423, + "learning_rate": 9.055240202535856e-06, + "loss": 0.7501, + "step": 23100 + }, + { + "epoch": 0.54, + "grad_norm": 0.7779636265377956, + "learning_rate": 9.054480577201381e-06, + "loss": 0.7683, + "step": 23101 + }, + { + "epoch": 0.54, + "grad_norm": 1.5203286286380482, + "learning_rate": 9.05372095737202e-06, + "loss": 0.745, + "step": 23102 + }, + { + "epoch": 0.54, + "grad_norm": 1.73169623331864, + "learning_rate": 9.052961343052199e-06, + "loss": 0.9755, + "step": 23103 + }, + { + "epoch": 0.54, + "grad_norm": 1.7024994152222088, + "learning_rate": 9.052201734246332e-06, + "loss": 0.9196, + "step": 23104 + }, + { + "epoch": 0.54, + "grad_norm": 1.6010551644549964, + "learning_rate": 9.051442130958848e-06, + "loss": 0.897, + "step": 23105 + }, + { + "epoch": 0.54, + "grad_norm": 1.47620977066172, + "learning_rate": 9.050682533194171e-06, + "loss": 0.8043, + "step": 23106 + }, + { + "epoch": 0.54, + "grad_norm": 1.6257824347285261, + "learning_rate": 9.049922940956719e-06, + "loss": 0.8882, + "step": 23107 + }, + { + "epoch": 0.54, + "grad_norm": 1.7653527097339772, + "learning_rate": 9.049163354250914e-06, + "loss": 0.9195, + "step": 23108 + }, + { + "epoch": 0.54, + "grad_norm": 2.005296543933828, + "learning_rate": 9.048403773081182e-06, + "loss": 0.8837, + "step": 23109 + }, + { + "epoch": 0.54, + "grad_norm": 1.6986568076335538, + "learning_rate": 9.047644197451949e-06, + "loss": 0.8407, + "step": 23110 + }, + { + "epoch": 0.54, + "grad_norm": 1.6669489019716555, + "learning_rate": 9.046884627367628e-06, + "loss": 0.8485, + "step": 23111 + }, + { + "epoch": 0.54, + "grad_norm": 1.563934468179961, + "learning_rate": 9.046125062832646e-06, + "loss": 0.859, + "step": 23112 + }, + { + "epoch": 0.54, + "grad_norm": 0.7505127258335831, + "learning_rate": 9.045365503851432e-06, + "loss": 0.7332, + "step": 23113 + }, + { + "epoch": 0.54, + "grad_norm": 1.641985028889278, + "learning_rate": 9.044605950428397e-06, + "loss": 0.8145, + "step": 23114 + }, + { + "epoch": 0.54, + "grad_norm": 1.4456626371921688, + "learning_rate": 9.043846402567969e-06, + "loss": 0.7837, + "step": 23115 + }, + { + "epoch": 0.54, + "grad_norm": 2.090963546616983, + "learning_rate": 9.043086860274567e-06, + "loss": 0.811, + "step": 23116 + }, + { + "epoch": 0.54, + "grad_norm": 1.5384627699929894, + "learning_rate": 9.042327323552624e-06, + "loss": 0.8572, + "step": 23117 + }, + { + "epoch": 0.54, + "grad_norm": 0.7910557070043127, + "learning_rate": 9.04156779240655e-06, + "loss": 0.7847, + "step": 23118 + }, + { + "epoch": 0.54, + "grad_norm": 2.335269999885331, + "learning_rate": 9.040808266840773e-06, + "loss": 0.8837, + "step": 23119 + }, + { + "epoch": 0.54, + "grad_norm": 1.5486497346736134, + "learning_rate": 9.040048746859715e-06, + "loss": 0.8835, + "step": 23120 + }, + { + "epoch": 0.54, + "grad_norm": 1.758474137704637, + "learning_rate": 9.039289232467792e-06, + "loss": 0.7944, + "step": 23121 + }, + { + "epoch": 0.54, + "grad_norm": 1.5048029616824867, + "learning_rate": 9.038529723669435e-06, + "loss": 0.8378, + "step": 23122 + }, + { + "epoch": 0.54, + "grad_norm": 2.0076993622972235, + "learning_rate": 9.037770220469062e-06, + "loss": 0.7752, + "step": 23123 + }, + { + "epoch": 0.54, + "grad_norm": 1.3898948572757595, + "learning_rate": 9.037010722871098e-06, + "loss": 0.8597, + "step": 23124 + }, + { + "epoch": 0.54, + "grad_norm": 1.4908526169413425, + "learning_rate": 9.036251230879956e-06, + "loss": 0.8222, + "step": 23125 + }, + { + "epoch": 0.54, + "grad_norm": 1.571594528746516, + "learning_rate": 9.035491744500069e-06, + "loss": 0.8969, + "step": 23126 + }, + { + "epoch": 0.54, + "grad_norm": 1.536220944912178, + "learning_rate": 9.034732263735856e-06, + "loss": 0.7866, + "step": 23127 + }, + { + "epoch": 0.54, + "grad_norm": 1.6495262630336471, + "learning_rate": 9.033972788591735e-06, + "loss": 0.9558, + "step": 23128 + }, + { + "epoch": 0.54, + "grad_norm": 1.6726384953469016, + "learning_rate": 9.033213319072126e-06, + "loss": 0.825, + "step": 23129 + }, + { + "epoch": 0.54, + "grad_norm": 1.8638522596458753, + "learning_rate": 9.032453855181462e-06, + "loss": 0.8723, + "step": 23130 + }, + { + "epoch": 0.54, + "grad_norm": 1.9746136984249554, + "learning_rate": 9.031694396924156e-06, + "loss": 0.8708, + "step": 23131 + }, + { + "epoch": 0.54, + "grad_norm": 1.696803289479229, + "learning_rate": 9.030934944304632e-06, + "loss": 0.8623, + "step": 23132 + }, + { + "epoch": 0.54, + "grad_norm": 1.5104846325430203, + "learning_rate": 9.030175497327308e-06, + "loss": 0.9478, + "step": 23133 + }, + { + "epoch": 0.55, + "grad_norm": 1.868539093829379, + "learning_rate": 9.029416055996614e-06, + "loss": 0.8226, + "step": 23134 + }, + { + "epoch": 0.55, + "grad_norm": 2.0639869585904425, + "learning_rate": 9.028656620316964e-06, + "loss": 0.814, + "step": 23135 + }, + { + "epoch": 0.55, + "grad_norm": 1.58350393562863, + "learning_rate": 9.027897190292784e-06, + "loss": 0.8819, + "step": 23136 + }, + { + "epoch": 0.55, + "grad_norm": 0.822481122661794, + "learning_rate": 9.027137765928492e-06, + "loss": 0.8001, + "step": 23137 + }, + { + "epoch": 0.55, + "grad_norm": 2.755853302828208, + "learning_rate": 9.026378347228516e-06, + "loss": 0.7972, + "step": 23138 + }, + { + "epoch": 0.55, + "grad_norm": 1.6343558472543447, + "learning_rate": 9.025618934197272e-06, + "loss": 0.8644, + "step": 23139 + }, + { + "epoch": 0.55, + "grad_norm": 1.6705408444529009, + "learning_rate": 9.02485952683918e-06, + "loss": 0.6846, + "step": 23140 + }, + { + "epoch": 0.55, + "grad_norm": 1.558677483556314, + "learning_rate": 9.024100125158671e-06, + "loss": 0.8434, + "step": 23141 + }, + { + "epoch": 0.55, + "grad_norm": 1.5323974419952886, + "learning_rate": 9.023340729160154e-06, + "loss": 0.8604, + "step": 23142 + }, + { + "epoch": 0.55, + "grad_norm": 1.6418403511421016, + "learning_rate": 9.022581338848058e-06, + "loss": 0.8725, + "step": 23143 + }, + { + "epoch": 0.55, + "grad_norm": 2.2889557964133007, + "learning_rate": 9.021821954226801e-06, + "loss": 0.9772, + "step": 23144 + }, + { + "epoch": 0.55, + "grad_norm": 2.491341549126808, + "learning_rate": 9.021062575300814e-06, + "loss": 0.9962, + "step": 23145 + }, + { + "epoch": 0.55, + "grad_norm": 1.7843330334823566, + "learning_rate": 9.020303202074503e-06, + "loss": 0.7962, + "step": 23146 + }, + { + "epoch": 0.55, + "grad_norm": 2.0021133272107487, + "learning_rate": 9.0195438345523e-06, + "loss": 0.8008, + "step": 23147 + }, + { + "epoch": 0.55, + "grad_norm": 1.697371465196622, + "learning_rate": 9.018784472738624e-06, + "loss": 0.8029, + "step": 23148 + }, + { + "epoch": 0.55, + "grad_norm": 2.34133686532403, + "learning_rate": 9.018025116637895e-06, + "loss": 0.8509, + "step": 23149 + }, + { + "epoch": 0.55, + "grad_norm": 1.4415705917368282, + "learning_rate": 9.01726576625453e-06, + "loss": 0.7744, + "step": 23150 + }, + { + "epoch": 0.55, + "grad_norm": 1.5899649241695697, + "learning_rate": 9.016506421592959e-06, + "loss": 0.7662, + "step": 23151 + }, + { + "epoch": 0.55, + "grad_norm": 1.4883750829393503, + "learning_rate": 9.0157470826576e-06, + "loss": 0.8707, + "step": 23152 + }, + { + "epoch": 0.55, + "grad_norm": 0.7751313186273288, + "learning_rate": 9.01498774945287e-06, + "loss": 0.6997, + "step": 23153 + }, + { + "epoch": 0.55, + "grad_norm": 1.9667823479863131, + "learning_rate": 9.014228421983194e-06, + "loss": 0.766, + "step": 23154 + }, + { + "epoch": 0.55, + "grad_norm": 0.7631848047949151, + "learning_rate": 9.013469100252995e-06, + "loss": 0.6397, + "step": 23155 + }, + { + "epoch": 0.55, + "grad_norm": 2.2754761496753955, + "learning_rate": 9.012709784266688e-06, + "loss": 0.8403, + "step": 23156 + }, + { + "epoch": 0.55, + "grad_norm": 1.6597323648218616, + "learning_rate": 9.011950474028697e-06, + "loss": 0.8393, + "step": 23157 + }, + { + "epoch": 0.55, + "grad_norm": 0.7794098722098571, + "learning_rate": 9.011191169543444e-06, + "loss": 0.716, + "step": 23158 + }, + { + "epoch": 0.55, + "grad_norm": 1.530102387828581, + "learning_rate": 9.010431870815351e-06, + "loss": 0.8974, + "step": 23159 + }, + { + "epoch": 0.55, + "grad_norm": 0.7715531498472739, + "learning_rate": 9.009672577848836e-06, + "loss": 0.7389, + "step": 23160 + }, + { + "epoch": 0.55, + "grad_norm": 1.4064600493761288, + "learning_rate": 9.008913290648317e-06, + "loss": 0.8516, + "step": 23161 + }, + { + "epoch": 0.55, + "grad_norm": 1.582779530970621, + "learning_rate": 9.008154009218228e-06, + "loss": 0.9045, + "step": 23162 + }, + { + "epoch": 0.55, + "grad_norm": 1.7789627510397492, + "learning_rate": 9.00739473356297e-06, + "loss": 0.8077, + "step": 23163 + }, + { + "epoch": 0.55, + "grad_norm": 1.618208438646683, + "learning_rate": 9.00663546368698e-06, + "loss": 0.8223, + "step": 23164 + }, + { + "epoch": 0.55, + "grad_norm": 1.8029631798536863, + "learning_rate": 9.005876199594668e-06, + "loss": 0.8372, + "step": 23165 + }, + { + "epoch": 0.55, + "grad_norm": 1.9956336925674774, + "learning_rate": 9.005116941290465e-06, + "loss": 0.8709, + "step": 23166 + }, + { + "epoch": 0.55, + "grad_norm": 1.4381293872810004, + "learning_rate": 9.004357688778784e-06, + "loss": 0.8491, + "step": 23167 + }, + { + "epoch": 0.55, + "grad_norm": 0.7376776359508606, + "learning_rate": 9.003598442064048e-06, + "loss": 0.7209, + "step": 23168 + }, + { + "epoch": 0.55, + "grad_norm": 0.7486105682292585, + "learning_rate": 9.002839201150673e-06, + "loss": 0.7191, + "step": 23169 + }, + { + "epoch": 0.55, + "grad_norm": 1.8894116065052389, + "learning_rate": 9.00207996604309e-06, + "loss": 0.7558, + "step": 23170 + }, + { + "epoch": 0.55, + "grad_norm": 1.9645352809922372, + "learning_rate": 9.001320736745711e-06, + "loss": 0.7951, + "step": 23171 + }, + { + "epoch": 0.55, + "grad_norm": 2.129650747770493, + "learning_rate": 9.00056151326296e-06, + "loss": 0.8584, + "step": 23172 + }, + { + "epoch": 0.55, + "grad_norm": 1.3733990880827383, + "learning_rate": 8.999802295599257e-06, + "loss": 0.8043, + "step": 23173 + }, + { + "epoch": 0.55, + "grad_norm": 2.1625242916062657, + "learning_rate": 8.999043083759016e-06, + "loss": 0.8224, + "step": 23174 + }, + { + "epoch": 0.55, + "grad_norm": 1.5471188691167426, + "learning_rate": 8.998283877746669e-06, + "loss": 0.8416, + "step": 23175 + }, + { + "epoch": 0.55, + "grad_norm": 1.6431482805687887, + "learning_rate": 8.997524677566627e-06, + "loss": 0.8337, + "step": 23176 + }, + { + "epoch": 0.55, + "grad_norm": 1.6406224976851194, + "learning_rate": 8.996765483223317e-06, + "loss": 0.9785, + "step": 23177 + }, + { + "epoch": 0.55, + "grad_norm": 1.557094126373792, + "learning_rate": 8.996006294721153e-06, + "loss": 0.8123, + "step": 23178 + }, + { + "epoch": 0.55, + "grad_norm": 1.9336563638461723, + "learning_rate": 8.99524711206456e-06, + "loss": 0.716, + "step": 23179 + }, + { + "epoch": 0.55, + "grad_norm": 2.8787029920374274, + "learning_rate": 8.994487935257957e-06, + "loss": 0.9298, + "step": 23180 + }, + { + "epoch": 0.55, + "grad_norm": 2.186972749447638, + "learning_rate": 8.993728764305762e-06, + "loss": 0.9104, + "step": 23181 + }, + { + "epoch": 0.55, + "grad_norm": 1.8535319383237965, + "learning_rate": 8.992969599212395e-06, + "loss": 0.77, + "step": 23182 + }, + { + "epoch": 0.55, + "grad_norm": 1.6949913741802891, + "learning_rate": 8.99221043998228e-06, + "loss": 0.8297, + "step": 23183 + }, + { + "epoch": 0.55, + "grad_norm": 1.4929933518218463, + "learning_rate": 8.991451286619837e-06, + "loss": 0.8169, + "step": 23184 + }, + { + "epoch": 0.55, + "grad_norm": 1.3920414683567945, + "learning_rate": 8.990692139129481e-06, + "loss": 0.867, + "step": 23185 + }, + { + "epoch": 0.55, + "grad_norm": 1.9105313422260053, + "learning_rate": 8.989932997515634e-06, + "loss": 0.9016, + "step": 23186 + }, + { + "epoch": 0.55, + "grad_norm": 0.7638722862229484, + "learning_rate": 8.98917386178272e-06, + "loss": 0.7219, + "step": 23187 + }, + { + "epoch": 0.55, + "grad_norm": 1.5147936903210735, + "learning_rate": 8.988414731935153e-06, + "loss": 0.8624, + "step": 23188 + }, + { + "epoch": 0.55, + "grad_norm": 1.8407181064478244, + "learning_rate": 8.987655607977357e-06, + "loss": 0.9024, + "step": 23189 + }, + { + "epoch": 0.55, + "grad_norm": 0.7564209010399969, + "learning_rate": 8.98689648991375e-06, + "loss": 0.6494, + "step": 23190 + }, + { + "epoch": 0.55, + "grad_norm": 1.3945145835777115, + "learning_rate": 8.986137377748754e-06, + "loss": 0.8439, + "step": 23191 + }, + { + "epoch": 0.55, + "grad_norm": 2.6882811510534297, + "learning_rate": 8.985378271486786e-06, + "loss": 0.8206, + "step": 23192 + }, + { + "epoch": 0.55, + "grad_norm": 1.8267191435497068, + "learning_rate": 8.984619171132264e-06, + "loss": 0.8475, + "step": 23193 + }, + { + "epoch": 0.55, + "grad_norm": 1.5894004186962811, + "learning_rate": 8.983860076689617e-06, + "loss": 0.7561, + "step": 23194 + }, + { + "epoch": 0.55, + "grad_norm": 1.4984979611693878, + "learning_rate": 8.983100988163253e-06, + "loss": 0.8092, + "step": 23195 + }, + { + "epoch": 0.55, + "grad_norm": 1.3400976775655167, + "learning_rate": 8.982341905557599e-06, + "loss": 0.7406, + "step": 23196 + }, + { + "epoch": 0.55, + "grad_norm": 2.1682128777523832, + "learning_rate": 8.981582828877072e-06, + "loss": 0.9151, + "step": 23197 + }, + { + "epoch": 0.55, + "grad_norm": 1.5870794932994938, + "learning_rate": 8.980823758126096e-06, + "loss": 0.7137, + "step": 23198 + }, + { + "epoch": 0.55, + "grad_norm": 1.6173908504524857, + "learning_rate": 8.98006469330908e-06, + "loss": 0.9663, + "step": 23199 + }, + { + "epoch": 0.55, + "grad_norm": 1.4724796549203474, + "learning_rate": 8.979305634430453e-06, + "loss": 0.8976, + "step": 23200 + }, + { + "epoch": 0.55, + "grad_norm": 1.4319826103644384, + "learning_rate": 8.978546581494637e-06, + "loss": 0.9545, + "step": 23201 + }, + { + "epoch": 0.55, + "grad_norm": 0.7347143363862317, + "learning_rate": 8.977787534506038e-06, + "loss": 0.6755, + "step": 23202 + }, + { + "epoch": 0.55, + "grad_norm": 1.6136955775406772, + "learning_rate": 8.977028493469088e-06, + "loss": 0.8687, + "step": 23203 + }, + { + "epoch": 0.55, + "grad_norm": 0.7917005201638172, + "learning_rate": 8.976269458388201e-06, + "loss": 0.7367, + "step": 23204 + }, + { + "epoch": 0.55, + "grad_norm": 1.6569423634512366, + "learning_rate": 8.9755104292678e-06, + "loss": 0.8245, + "step": 23205 + }, + { + "epoch": 0.55, + "grad_norm": 1.6373200562249373, + "learning_rate": 8.974751406112296e-06, + "loss": 0.8453, + "step": 23206 + }, + { + "epoch": 0.55, + "grad_norm": 1.9057430489200056, + "learning_rate": 8.973992388926117e-06, + "loss": 0.8467, + "step": 23207 + }, + { + "epoch": 0.55, + "grad_norm": 0.7692852961507656, + "learning_rate": 8.973233377713681e-06, + "loss": 0.6686, + "step": 23208 + }, + { + "epoch": 0.55, + "grad_norm": 1.693882452805859, + "learning_rate": 8.972474372479404e-06, + "loss": 0.8572, + "step": 23209 + }, + { + "epoch": 0.55, + "grad_norm": 2.337968253009703, + "learning_rate": 8.971715373227704e-06, + "loss": 0.9282, + "step": 23210 + }, + { + "epoch": 0.55, + "grad_norm": 2.1315734641796653, + "learning_rate": 8.970956379963006e-06, + "loss": 0.7982, + "step": 23211 + }, + { + "epoch": 0.55, + "grad_norm": 1.5096959396247118, + "learning_rate": 8.970197392689725e-06, + "loss": 0.8716, + "step": 23212 + }, + { + "epoch": 0.55, + "grad_norm": 1.5167432261070677, + "learning_rate": 8.96943841141228e-06, + "loss": 0.8882, + "step": 23213 + }, + { + "epoch": 0.55, + "grad_norm": 1.586560662643379, + "learning_rate": 8.96867943613509e-06, + "loss": 0.986, + "step": 23214 + }, + { + "epoch": 0.55, + "grad_norm": 1.5034910474951537, + "learning_rate": 8.967920466862577e-06, + "loss": 0.9392, + "step": 23215 + }, + { + "epoch": 0.55, + "grad_norm": 2.0700663288794616, + "learning_rate": 8.967161503599157e-06, + "loss": 0.8946, + "step": 23216 + }, + { + "epoch": 0.55, + "grad_norm": 1.6397717353136358, + "learning_rate": 8.96640254634925e-06, + "loss": 0.8055, + "step": 23217 + }, + { + "epoch": 0.55, + "grad_norm": 1.6481939989306837, + "learning_rate": 8.96564359511727e-06, + "loss": 0.826, + "step": 23218 + }, + { + "epoch": 0.55, + "grad_norm": 1.604900516892501, + "learning_rate": 8.964884649907648e-06, + "loss": 0.7503, + "step": 23219 + }, + { + "epoch": 0.55, + "grad_norm": 1.5062422774255906, + "learning_rate": 8.964125710724791e-06, + "loss": 0.7995, + "step": 23220 + }, + { + "epoch": 0.55, + "grad_norm": 1.5020689653378239, + "learning_rate": 8.963366777573123e-06, + "loss": 0.9549, + "step": 23221 + }, + { + "epoch": 0.55, + "grad_norm": 1.6216552738151047, + "learning_rate": 8.962607850457063e-06, + "loss": 0.8062, + "step": 23222 + }, + { + "epoch": 0.55, + "grad_norm": 1.9442856268167095, + "learning_rate": 8.961848929381027e-06, + "loss": 0.8854, + "step": 23223 + }, + { + "epoch": 0.55, + "grad_norm": 1.645894101826824, + "learning_rate": 8.961090014349433e-06, + "loss": 0.9167, + "step": 23224 + }, + { + "epoch": 0.55, + "grad_norm": 1.6490334121295855, + "learning_rate": 8.960331105366705e-06, + "loss": 0.754, + "step": 23225 + }, + { + "epoch": 0.55, + "grad_norm": 1.5952505018165186, + "learning_rate": 8.95957220243726e-06, + "loss": 0.7279, + "step": 23226 + }, + { + "epoch": 0.55, + "grad_norm": 0.7626212416416698, + "learning_rate": 8.95881330556551e-06, + "loss": 0.6568, + "step": 23227 + }, + { + "epoch": 0.55, + "grad_norm": 1.5711201256867853, + "learning_rate": 8.958054414755882e-06, + "loss": 0.861, + "step": 23228 + }, + { + "epoch": 0.55, + "grad_norm": 1.7875830930387797, + "learning_rate": 8.957295530012792e-06, + "loss": 0.9151, + "step": 23229 + }, + { + "epoch": 0.55, + "grad_norm": 1.8731328214031566, + "learning_rate": 8.956536651340655e-06, + "loss": 0.7925, + "step": 23230 + }, + { + "epoch": 0.55, + "grad_norm": 1.8581902151905307, + "learning_rate": 8.955777778743891e-06, + "loss": 0.8371, + "step": 23231 + }, + { + "epoch": 0.55, + "grad_norm": 2.232319904194559, + "learning_rate": 8.95501891222692e-06, + "loss": 0.7726, + "step": 23232 + }, + { + "epoch": 0.55, + "grad_norm": 1.4553473618738033, + "learning_rate": 8.954260051794165e-06, + "loss": 0.752, + "step": 23233 + }, + { + "epoch": 0.55, + "grad_norm": 1.8412000405658173, + "learning_rate": 8.953501197450035e-06, + "loss": 0.877, + "step": 23234 + }, + { + "epoch": 0.55, + "grad_norm": 1.5268115611109763, + "learning_rate": 8.952742349198951e-06, + "loss": 0.8518, + "step": 23235 + }, + { + "epoch": 0.55, + "grad_norm": 1.5073814416562152, + "learning_rate": 8.951983507045335e-06, + "loss": 0.8821, + "step": 23236 + }, + { + "epoch": 0.55, + "grad_norm": 1.8728563440034882, + "learning_rate": 8.951224670993603e-06, + "loss": 0.7817, + "step": 23237 + }, + { + "epoch": 0.55, + "grad_norm": 1.731122908459255, + "learning_rate": 8.950465841048168e-06, + "loss": 0.6685, + "step": 23238 + }, + { + "epoch": 0.55, + "grad_norm": 1.4033464675375942, + "learning_rate": 8.949707017213457e-06, + "loss": 0.7777, + "step": 23239 + }, + { + "epoch": 0.55, + "grad_norm": 1.5535757281270164, + "learning_rate": 8.948948199493887e-06, + "loss": 0.9623, + "step": 23240 + }, + { + "epoch": 0.55, + "grad_norm": 1.6699714454256505, + "learning_rate": 8.948189387893871e-06, + "loss": 0.8276, + "step": 23241 + }, + { + "epoch": 0.55, + "grad_norm": 1.5600967465617166, + "learning_rate": 8.947430582417827e-06, + "loss": 0.9298, + "step": 23242 + }, + { + "epoch": 0.55, + "grad_norm": 1.8502863949949948, + "learning_rate": 8.946671783070182e-06, + "loss": 0.9593, + "step": 23243 + }, + { + "epoch": 0.55, + "grad_norm": 1.5189194933326757, + "learning_rate": 8.94591298985534e-06, + "loss": 0.8905, + "step": 23244 + }, + { + "epoch": 0.55, + "grad_norm": 1.5811886982256003, + "learning_rate": 8.945154202777729e-06, + "loss": 0.8231, + "step": 23245 + }, + { + "epoch": 0.55, + "grad_norm": 1.7052328238689312, + "learning_rate": 8.94439542184176e-06, + "loss": 0.7739, + "step": 23246 + }, + { + "epoch": 0.55, + "grad_norm": 0.7180840263049192, + "learning_rate": 8.943636647051864e-06, + "loss": 0.7207, + "step": 23247 + }, + { + "epoch": 0.55, + "grad_norm": 1.4163210640331467, + "learning_rate": 8.942877878412444e-06, + "loss": 0.8114, + "step": 23248 + }, + { + "epoch": 0.55, + "grad_norm": 1.664630839989858, + "learning_rate": 8.942119115927925e-06, + "loss": 0.8931, + "step": 23249 + }, + { + "epoch": 0.55, + "grad_norm": 1.5553358556858605, + "learning_rate": 8.941360359602724e-06, + "loss": 0.8162, + "step": 23250 + }, + { + "epoch": 0.55, + "grad_norm": 0.7662684439695961, + "learning_rate": 8.940601609441256e-06, + "loss": 0.6684, + "step": 23251 + }, + { + "epoch": 0.55, + "grad_norm": 2.04648151753552, + "learning_rate": 8.93984286544794e-06, + "loss": 0.8573, + "step": 23252 + }, + { + "epoch": 0.55, + "grad_norm": 1.7671867425004284, + "learning_rate": 8.939084127627198e-06, + "loss": 0.8213, + "step": 23253 + }, + { + "epoch": 0.55, + "grad_norm": 1.662612031357752, + "learning_rate": 8.938325395983445e-06, + "loss": 0.8284, + "step": 23254 + }, + { + "epoch": 0.55, + "grad_norm": 1.5495652385526149, + "learning_rate": 8.937566670521092e-06, + "loss": 0.7584, + "step": 23255 + }, + { + "epoch": 0.55, + "grad_norm": 1.8850614383996738, + "learning_rate": 8.936807951244566e-06, + "loss": 0.8162, + "step": 23256 + }, + { + "epoch": 0.55, + "grad_norm": 1.5610838253964603, + "learning_rate": 8.936049238158283e-06, + "loss": 0.8957, + "step": 23257 + }, + { + "epoch": 0.55, + "grad_norm": 1.5447773315523783, + "learning_rate": 8.935290531266656e-06, + "loss": 0.8579, + "step": 23258 + }, + { + "epoch": 0.55, + "grad_norm": 1.6049827706445516, + "learning_rate": 8.934531830574101e-06, + "loss": 0.8467, + "step": 23259 + }, + { + "epoch": 0.55, + "grad_norm": 1.5838305217663111, + "learning_rate": 8.933773136085042e-06, + "loss": 0.9583, + "step": 23260 + }, + { + "epoch": 0.55, + "grad_norm": 1.4418764357476104, + "learning_rate": 8.933014447803896e-06, + "loss": 0.8749, + "step": 23261 + }, + { + "epoch": 0.55, + "grad_norm": 1.5328474434998816, + "learning_rate": 8.932255765735075e-06, + "loss": 0.8114, + "step": 23262 + }, + { + "epoch": 0.55, + "grad_norm": 1.7950366988647048, + "learning_rate": 8.931497089882997e-06, + "loss": 0.999, + "step": 23263 + }, + { + "epoch": 0.55, + "grad_norm": 1.6711591559884238, + "learning_rate": 8.930738420252085e-06, + "loss": 0.8002, + "step": 23264 + }, + { + "epoch": 0.55, + "grad_norm": 1.7036505935711113, + "learning_rate": 8.92997975684675e-06, + "loss": 0.8591, + "step": 23265 + }, + { + "epoch": 0.55, + "grad_norm": 0.8140683340754331, + "learning_rate": 8.929221099671414e-06, + "loss": 0.7384, + "step": 23266 + }, + { + "epoch": 0.55, + "grad_norm": 1.7369016275070142, + "learning_rate": 8.928462448730487e-06, + "loss": 0.8739, + "step": 23267 + }, + { + "epoch": 0.55, + "grad_norm": 1.5568117746102021, + "learning_rate": 8.927703804028396e-06, + "loss": 0.9708, + "step": 23268 + }, + { + "epoch": 0.55, + "grad_norm": 1.8967386279491463, + "learning_rate": 8.926945165569551e-06, + "loss": 0.9069, + "step": 23269 + }, + { + "epoch": 0.55, + "grad_norm": 1.7513564189302988, + "learning_rate": 8.92618653335837e-06, + "loss": 0.8953, + "step": 23270 + }, + { + "epoch": 0.55, + "grad_norm": 1.6053668335543017, + "learning_rate": 8.925427907399276e-06, + "loss": 0.859, + "step": 23271 + }, + { + "epoch": 0.55, + "grad_norm": 1.7187350122112581, + "learning_rate": 8.924669287696673e-06, + "loss": 0.6951, + "step": 23272 + }, + { + "epoch": 0.55, + "grad_norm": 1.5714769567607119, + "learning_rate": 8.92391067425499e-06, + "loss": 0.8789, + "step": 23273 + }, + { + "epoch": 0.55, + "grad_norm": 1.7623579796503686, + "learning_rate": 8.92315206707864e-06, + "loss": 0.7748, + "step": 23274 + }, + { + "epoch": 0.55, + "grad_norm": 1.5149744863137633, + "learning_rate": 8.922393466172042e-06, + "loss": 0.743, + "step": 23275 + }, + { + "epoch": 0.55, + "grad_norm": 1.5830386503227847, + "learning_rate": 8.921634871539603e-06, + "loss": 0.9214, + "step": 23276 + }, + { + "epoch": 0.55, + "grad_norm": 1.5856297879988208, + "learning_rate": 8.920876283185753e-06, + "loss": 0.8857, + "step": 23277 + }, + { + "epoch": 0.55, + "grad_norm": 1.6114117429812556, + "learning_rate": 8.920117701114903e-06, + "loss": 0.8461, + "step": 23278 + }, + { + "epoch": 0.55, + "grad_norm": 0.7784934593170848, + "learning_rate": 8.919359125331468e-06, + "loss": 0.7553, + "step": 23279 + }, + { + "epoch": 0.55, + "grad_norm": 1.4120473733902381, + "learning_rate": 8.918600555839865e-06, + "loss": 0.7513, + "step": 23280 + }, + { + "epoch": 0.55, + "grad_norm": 1.4299399187570692, + "learning_rate": 8.917841992644513e-06, + "loss": 0.7844, + "step": 23281 + }, + { + "epoch": 0.55, + "grad_norm": 1.672131058987703, + "learning_rate": 8.91708343574983e-06, + "loss": 0.8078, + "step": 23282 + }, + { + "epoch": 0.55, + "grad_norm": 1.613828602032894, + "learning_rate": 8.916324885160228e-06, + "loss": 0.798, + "step": 23283 + }, + { + "epoch": 0.55, + "grad_norm": 1.7340377844803485, + "learning_rate": 8.915566340880122e-06, + "loss": 0.8222, + "step": 23284 + }, + { + "epoch": 0.55, + "grad_norm": 1.5684933653982773, + "learning_rate": 8.914807802913939e-06, + "loss": 0.8508, + "step": 23285 + }, + { + "epoch": 0.55, + "grad_norm": 1.4614675060564912, + "learning_rate": 8.914049271266085e-06, + "loss": 0.8214, + "step": 23286 + }, + { + "epoch": 0.55, + "grad_norm": 1.3968320886128454, + "learning_rate": 8.913290745940979e-06, + "loss": 0.8087, + "step": 23287 + }, + { + "epoch": 0.55, + "grad_norm": 1.704859454325803, + "learning_rate": 8.912532226943038e-06, + "loss": 1.0112, + "step": 23288 + }, + { + "epoch": 0.55, + "grad_norm": 1.6748918083701816, + "learning_rate": 8.911773714276682e-06, + "loss": 0.9102, + "step": 23289 + }, + { + "epoch": 0.55, + "grad_norm": 1.5163025966640427, + "learning_rate": 8.911015207946324e-06, + "loss": 0.769, + "step": 23290 + }, + { + "epoch": 0.55, + "grad_norm": 1.7000606813663173, + "learning_rate": 8.910256707956375e-06, + "loss": 0.7982, + "step": 23291 + }, + { + "epoch": 0.55, + "grad_norm": 1.724743681260214, + "learning_rate": 8.90949821431126e-06, + "loss": 0.9445, + "step": 23292 + }, + { + "epoch": 0.55, + "grad_norm": 1.464670218838483, + "learning_rate": 8.908739727015394e-06, + "loss": 0.8367, + "step": 23293 + }, + { + "epoch": 0.55, + "grad_norm": 1.531821348510884, + "learning_rate": 8.907981246073188e-06, + "loss": 0.9126, + "step": 23294 + }, + { + "epoch": 0.55, + "grad_norm": 1.9390434787689612, + "learning_rate": 8.907222771489059e-06, + "loss": 0.8946, + "step": 23295 + }, + { + "epoch": 0.55, + "grad_norm": 1.5020546276408047, + "learning_rate": 8.90646430326743e-06, + "loss": 0.9346, + "step": 23296 + }, + { + "epoch": 0.55, + "grad_norm": 1.6135226136540248, + "learning_rate": 8.905705841412708e-06, + "loss": 0.85, + "step": 23297 + }, + { + "epoch": 0.55, + "grad_norm": 1.7478748585867108, + "learning_rate": 8.904947385929314e-06, + "loss": 0.8018, + "step": 23298 + }, + { + "epoch": 0.55, + "grad_norm": 1.5898250769596736, + "learning_rate": 8.90418893682166e-06, + "loss": 0.8917, + "step": 23299 + }, + { + "epoch": 0.55, + "grad_norm": 1.5133042238766654, + "learning_rate": 8.903430494094171e-06, + "loss": 0.9597, + "step": 23300 + }, + { + "epoch": 0.55, + "grad_norm": 2.2060339291019346, + "learning_rate": 8.902672057751254e-06, + "loss": 0.838, + "step": 23301 + }, + { + "epoch": 0.55, + "grad_norm": 1.4342607072134947, + "learning_rate": 8.901913627797328e-06, + "loss": 0.8579, + "step": 23302 + }, + { + "epoch": 0.55, + "grad_norm": 1.6337501095630358, + "learning_rate": 8.90115520423681e-06, + "loss": 0.8474, + "step": 23303 + }, + { + "epoch": 0.55, + "grad_norm": 4.050275177791525, + "learning_rate": 8.90039678707411e-06, + "loss": 0.7948, + "step": 23304 + }, + { + "epoch": 0.55, + "grad_norm": 1.637134221944142, + "learning_rate": 8.899638376313651e-06, + "loss": 0.7528, + "step": 23305 + }, + { + "epoch": 0.55, + "grad_norm": 1.646578388761976, + "learning_rate": 8.898879971959844e-06, + "loss": 0.8267, + "step": 23306 + }, + { + "epoch": 0.55, + "grad_norm": 1.5037911180605088, + "learning_rate": 8.89812157401711e-06, + "loss": 0.9227, + "step": 23307 + }, + { + "epoch": 0.55, + "grad_norm": 1.9539114900694226, + "learning_rate": 8.897363182489856e-06, + "loss": 0.83, + "step": 23308 + }, + { + "epoch": 0.55, + "grad_norm": 1.7896506658614828, + "learning_rate": 8.896604797382507e-06, + "loss": 0.8758, + "step": 23309 + }, + { + "epoch": 0.55, + "grad_norm": 1.5468804228466642, + "learning_rate": 8.895846418699475e-06, + "loss": 0.898, + "step": 23310 + }, + { + "epoch": 0.55, + "grad_norm": 1.539774671850541, + "learning_rate": 8.89508804644517e-06, + "loss": 0.8002, + "step": 23311 + }, + { + "epoch": 0.55, + "grad_norm": 1.650942522184648, + "learning_rate": 8.894329680624012e-06, + "loss": 0.9713, + "step": 23312 + }, + { + "epoch": 0.55, + "grad_norm": 0.723840676125585, + "learning_rate": 8.89357132124042e-06, + "loss": 0.734, + "step": 23313 + }, + { + "epoch": 0.55, + "grad_norm": 1.5204019682511092, + "learning_rate": 8.892812968298807e-06, + "loss": 1.0139, + "step": 23314 + }, + { + "epoch": 0.55, + "grad_norm": 0.7974969017879011, + "learning_rate": 8.892054621803586e-06, + "loss": 0.7962, + "step": 23315 + }, + { + "epoch": 0.55, + "grad_norm": 2.0950794912037365, + "learning_rate": 8.89129628175917e-06, + "loss": 0.8954, + "step": 23316 + }, + { + "epoch": 0.55, + "grad_norm": 1.6051844951563463, + "learning_rate": 8.890537948169984e-06, + "loss": 0.9124, + "step": 23317 + }, + { + "epoch": 0.55, + "grad_norm": 1.570795135158842, + "learning_rate": 8.889779621040435e-06, + "loss": 0.795, + "step": 23318 + }, + { + "epoch": 0.55, + "grad_norm": 1.6264217728741357, + "learning_rate": 8.88902130037494e-06, + "loss": 0.9108, + "step": 23319 + }, + { + "epoch": 0.55, + "grad_norm": 1.5518575996954183, + "learning_rate": 8.888262986177913e-06, + "loss": 0.9075, + "step": 23320 + }, + { + "epoch": 0.55, + "grad_norm": 1.909269056277327, + "learning_rate": 8.887504678453775e-06, + "loss": 0.8343, + "step": 23321 + }, + { + "epoch": 0.55, + "grad_norm": 2.2834204082628684, + "learning_rate": 8.886746377206934e-06, + "loss": 0.8389, + "step": 23322 + }, + { + "epoch": 0.55, + "grad_norm": 1.5892402477147576, + "learning_rate": 8.88598808244181e-06, + "loss": 0.8156, + "step": 23323 + }, + { + "epoch": 0.55, + "grad_norm": 1.644542512867851, + "learning_rate": 8.885229794162818e-06, + "loss": 0.8445, + "step": 23324 + }, + { + "epoch": 0.55, + "grad_norm": 1.6284980536010396, + "learning_rate": 8.884471512374363e-06, + "loss": 0.7957, + "step": 23325 + }, + { + "epoch": 0.55, + "grad_norm": 3.159614053673555, + "learning_rate": 8.883713237080875e-06, + "loss": 0.8475, + "step": 23326 + }, + { + "epoch": 0.55, + "grad_norm": 2.3496879764682768, + "learning_rate": 8.882954968286756e-06, + "loss": 0.9955, + "step": 23327 + }, + { + "epoch": 0.55, + "grad_norm": 2.6286149679946957, + "learning_rate": 8.882196705996436e-06, + "loss": 0.7884, + "step": 23328 + }, + { + "epoch": 0.55, + "grad_norm": 1.8024623149976267, + "learning_rate": 8.881438450214313e-06, + "loss": 0.7834, + "step": 23329 + }, + { + "epoch": 0.55, + "grad_norm": 1.7770762559759734, + "learning_rate": 8.880680200944812e-06, + "loss": 0.8574, + "step": 23330 + }, + { + "epoch": 0.55, + "grad_norm": 1.7383388055189495, + "learning_rate": 8.879921958192347e-06, + "loss": 0.848, + "step": 23331 + }, + { + "epoch": 0.55, + "grad_norm": 1.5430486593876038, + "learning_rate": 8.87916372196133e-06, + "loss": 0.8452, + "step": 23332 + }, + { + "epoch": 0.55, + "grad_norm": 1.6093168393914272, + "learning_rate": 8.878405492256174e-06, + "loss": 0.9218, + "step": 23333 + }, + { + "epoch": 0.55, + "grad_norm": 1.626778540229173, + "learning_rate": 8.877647269081298e-06, + "loss": 0.8525, + "step": 23334 + }, + { + "epoch": 0.55, + "grad_norm": 1.8010938951211453, + "learning_rate": 8.876889052441117e-06, + "loss": 0.8619, + "step": 23335 + }, + { + "epoch": 0.55, + "grad_norm": 1.6374576334252078, + "learning_rate": 8.876130842340039e-06, + "loss": 0.9816, + "step": 23336 + }, + { + "epoch": 0.55, + "grad_norm": 1.5381916558740885, + "learning_rate": 8.875372638782485e-06, + "loss": 0.9459, + "step": 23337 + }, + { + "epoch": 0.55, + "grad_norm": 2.7769785454111156, + "learning_rate": 8.874614441772871e-06, + "loss": 0.7781, + "step": 23338 + }, + { + "epoch": 0.55, + "grad_norm": 1.686791097234361, + "learning_rate": 8.873856251315605e-06, + "loss": 0.8699, + "step": 23339 + }, + { + "epoch": 0.55, + "grad_norm": 1.7883708038998247, + "learning_rate": 8.873098067415103e-06, + "loss": 0.786, + "step": 23340 + }, + { + "epoch": 0.55, + "grad_norm": 1.607491326725573, + "learning_rate": 8.872339890075782e-06, + "loss": 0.9218, + "step": 23341 + }, + { + "epoch": 0.55, + "grad_norm": 1.5989477577978377, + "learning_rate": 8.871581719302057e-06, + "loss": 0.8397, + "step": 23342 + }, + { + "epoch": 0.55, + "grad_norm": 1.568340242979973, + "learning_rate": 8.870823555098339e-06, + "loss": 0.8506, + "step": 23343 + }, + { + "epoch": 0.55, + "grad_norm": 1.7201834865992145, + "learning_rate": 8.870065397469043e-06, + "loss": 0.9194, + "step": 23344 + }, + { + "epoch": 0.55, + "grad_norm": 1.8032691581193367, + "learning_rate": 8.869307246418589e-06, + "loss": 0.9054, + "step": 23345 + }, + { + "epoch": 0.55, + "grad_norm": 1.5892943874098209, + "learning_rate": 8.86854910195138e-06, + "loss": 0.8386, + "step": 23346 + }, + { + "epoch": 0.55, + "grad_norm": 2.471596445185681, + "learning_rate": 8.867790964071838e-06, + "loss": 0.7613, + "step": 23347 + }, + { + "epoch": 0.55, + "grad_norm": 0.7959253084840686, + "learning_rate": 8.867032832784372e-06, + "loss": 0.7063, + "step": 23348 + }, + { + "epoch": 0.55, + "grad_norm": 1.442608322745331, + "learning_rate": 8.866274708093407e-06, + "loss": 0.9218, + "step": 23349 + }, + { + "epoch": 0.55, + "grad_norm": 1.6378805614334446, + "learning_rate": 8.865516590003344e-06, + "loss": 0.9706, + "step": 23350 + }, + { + "epoch": 0.55, + "grad_norm": 1.5414336128538362, + "learning_rate": 8.864758478518606e-06, + "loss": 0.7493, + "step": 23351 + }, + { + "epoch": 0.55, + "grad_norm": 1.9543497454549619, + "learning_rate": 8.864000373643604e-06, + "loss": 0.9076, + "step": 23352 + }, + { + "epoch": 0.55, + "grad_norm": 1.501769896102029, + "learning_rate": 8.863242275382747e-06, + "loss": 0.8764, + "step": 23353 + }, + { + "epoch": 0.55, + "grad_norm": 0.761293905253321, + "learning_rate": 8.862484183740457e-06, + "loss": 0.7368, + "step": 23354 + }, + { + "epoch": 0.55, + "grad_norm": 2.115591901490947, + "learning_rate": 8.861726098721142e-06, + "loss": 0.8395, + "step": 23355 + }, + { + "epoch": 0.55, + "grad_norm": 0.8193345649580434, + "learning_rate": 8.860968020329222e-06, + "loss": 0.7233, + "step": 23356 + }, + { + "epoch": 0.55, + "grad_norm": 1.4353159177385257, + "learning_rate": 8.8602099485691e-06, + "loss": 0.8045, + "step": 23357 + }, + { + "epoch": 0.55, + "grad_norm": 2.6922379579879356, + "learning_rate": 8.859451883445201e-06, + "loss": 0.9064, + "step": 23358 + }, + { + "epoch": 0.55, + "grad_norm": 1.7893220488757593, + "learning_rate": 8.858693824961936e-06, + "loss": 0.8462, + "step": 23359 + }, + { + "epoch": 0.55, + "grad_norm": 1.3808547775731246, + "learning_rate": 8.857935773123715e-06, + "loss": 0.7807, + "step": 23360 + }, + { + "epoch": 0.55, + "grad_norm": 2.161681441782409, + "learning_rate": 8.85717772793495e-06, + "loss": 0.8316, + "step": 23361 + }, + { + "epoch": 0.55, + "grad_norm": 1.782574523392062, + "learning_rate": 8.856419689400062e-06, + "loss": 0.9054, + "step": 23362 + }, + { + "epoch": 0.55, + "grad_norm": 1.5816522457020232, + "learning_rate": 8.855661657523461e-06, + "loss": 0.863, + "step": 23363 + }, + { + "epoch": 0.55, + "grad_norm": 1.8706302185320667, + "learning_rate": 8.85490363230956e-06, + "loss": 0.8111, + "step": 23364 + }, + { + "epoch": 0.55, + "grad_norm": 2.723497096459199, + "learning_rate": 8.854145613762767e-06, + "loss": 0.841, + "step": 23365 + }, + { + "epoch": 0.55, + "grad_norm": 1.567536041867134, + "learning_rate": 8.85338760188751e-06, + "loss": 0.9093, + "step": 23366 + }, + { + "epoch": 0.55, + "grad_norm": 0.7577280335523432, + "learning_rate": 8.852629596688189e-06, + "loss": 0.697, + "step": 23367 + }, + { + "epoch": 0.55, + "grad_norm": 1.509940766559824, + "learning_rate": 8.85187159816922e-06, + "loss": 0.9145, + "step": 23368 + }, + { + "epoch": 0.55, + "grad_norm": 1.6276097883147271, + "learning_rate": 8.851113606335018e-06, + "loss": 0.9701, + "step": 23369 + }, + { + "epoch": 0.55, + "grad_norm": 1.7221596077375891, + "learning_rate": 8.85035562119e-06, + "loss": 0.898, + "step": 23370 + }, + { + "epoch": 0.55, + "grad_norm": 0.8042479053321405, + "learning_rate": 8.849597642738573e-06, + "loss": 0.7252, + "step": 23371 + }, + { + "epoch": 0.55, + "grad_norm": 2.008499364340877, + "learning_rate": 8.848839670985151e-06, + "loss": 0.9159, + "step": 23372 + }, + { + "epoch": 0.55, + "grad_norm": 1.614513490823274, + "learning_rate": 8.848081705934155e-06, + "loss": 0.8737, + "step": 23373 + }, + { + "epoch": 0.55, + "grad_norm": 0.801415914513901, + "learning_rate": 8.847323747589987e-06, + "loss": 0.6988, + "step": 23374 + }, + { + "epoch": 0.55, + "grad_norm": 1.6723653733804245, + "learning_rate": 8.846565795957066e-06, + "loss": 0.9107, + "step": 23375 + }, + { + "epoch": 0.55, + "grad_norm": 2.6304313108577175, + "learning_rate": 8.845807851039801e-06, + "loss": 0.7498, + "step": 23376 + }, + { + "epoch": 0.55, + "grad_norm": 2.1434517823492243, + "learning_rate": 8.845049912842616e-06, + "loss": 0.7425, + "step": 23377 + }, + { + "epoch": 0.55, + "grad_norm": 1.6616895276860348, + "learning_rate": 8.844291981369911e-06, + "loss": 0.8394, + "step": 23378 + }, + { + "epoch": 0.55, + "grad_norm": 1.5972186092633365, + "learning_rate": 8.843534056626103e-06, + "loss": 0.8207, + "step": 23379 + }, + { + "epoch": 0.55, + "grad_norm": 1.566002668748403, + "learning_rate": 8.842776138615609e-06, + "loss": 0.7377, + "step": 23380 + }, + { + "epoch": 0.55, + "grad_norm": 1.8333012858818463, + "learning_rate": 8.842018227342839e-06, + "loss": 0.786, + "step": 23381 + }, + { + "epoch": 0.55, + "grad_norm": 1.6743412360850256, + "learning_rate": 8.8412603228122e-06, + "loss": 0.8266, + "step": 23382 + }, + { + "epoch": 0.55, + "grad_norm": 1.6528798270745608, + "learning_rate": 8.840502425028114e-06, + "loss": 0.8144, + "step": 23383 + }, + { + "epoch": 0.55, + "grad_norm": 1.6241739800991986, + "learning_rate": 8.839744533994991e-06, + "loss": 0.8569, + "step": 23384 + }, + { + "epoch": 0.55, + "grad_norm": 1.6969207942480984, + "learning_rate": 8.83898664971724e-06, + "loss": 0.9656, + "step": 23385 + }, + { + "epoch": 0.55, + "grad_norm": 1.7408868925868632, + "learning_rate": 8.838228772199278e-06, + "loss": 0.7803, + "step": 23386 + }, + { + "epoch": 0.55, + "grad_norm": 1.5707529373904636, + "learning_rate": 8.837470901445518e-06, + "loss": 0.8208, + "step": 23387 + }, + { + "epoch": 0.55, + "grad_norm": 1.6820718284274407, + "learning_rate": 8.836713037460368e-06, + "loss": 0.8357, + "step": 23388 + }, + { + "epoch": 0.55, + "grad_norm": 1.6517772441088423, + "learning_rate": 8.83595518024824e-06, + "loss": 0.8903, + "step": 23389 + }, + { + "epoch": 0.55, + "grad_norm": 1.3993476139514127, + "learning_rate": 8.835197329813552e-06, + "loss": 0.8292, + "step": 23390 + }, + { + "epoch": 0.55, + "grad_norm": 1.6050257162882953, + "learning_rate": 8.834439486160716e-06, + "loss": 0.8748, + "step": 23391 + }, + { + "epoch": 0.55, + "grad_norm": 0.7590343988595663, + "learning_rate": 8.833681649294142e-06, + "loss": 0.7543, + "step": 23392 + }, + { + "epoch": 0.55, + "grad_norm": 2.4354539095533507, + "learning_rate": 8.832923819218238e-06, + "loss": 0.8253, + "step": 23393 + }, + { + "epoch": 0.55, + "grad_norm": 1.758975369520572, + "learning_rate": 8.83216599593743e-06, + "loss": 0.8296, + "step": 23394 + }, + { + "epoch": 0.55, + "grad_norm": 0.8079096375691052, + "learning_rate": 8.831408179456112e-06, + "loss": 0.7186, + "step": 23395 + }, + { + "epoch": 0.55, + "grad_norm": 1.759551925436874, + "learning_rate": 8.830650369778711e-06, + "loss": 0.9085, + "step": 23396 + }, + { + "epoch": 0.55, + "grad_norm": 1.5793424820937143, + "learning_rate": 8.829892566909629e-06, + "loss": 0.8856, + "step": 23397 + }, + { + "epoch": 0.55, + "grad_norm": 0.7446600060339321, + "learning_rate": 8.829134770853289e-06, + "loss": 0.6588, + "step": 23398 + }, + { + "epoch": 0.55, + "grad_norm": 1.657917223119895, + "learning_rate": 8.828376981614093e-06, + "loss": 0.9364, + "step": 23399 + }, + { + "epoch": 0.55, + "grad_norm": 1.6362786406713243, + "learning_rate": 8.827619199196457e-06, + "loss": 0.8996, + "step": 23400 + }, + { + "epoch": 0.55, + "grad_norm": 1.6121637560319597, + "learning_rate": 8.826861423604797e-06, + "loss": 0.7866, + "step": 23401 + }, + { + "epoch": 0.55, + "grad_norm": 1.6912445003648422, + "learning_rate": 8.826103654843516e-06, + "loss": 0.8439, + "step": 23402 + }, + { + "epoch": 0.55, + "grad_norm": 1.663016048097996, + "learning_rate": 8.825345892917035e-06, + "loss": 0.7543, + "step": 23403 + }, + { + "epoch": 0.55, + "grad_norm": 0.7936296241005031, + "learning_rate": 8.824588137829761e-06, + "loss": 0.7725, + "step": 23404 + }, + { + "epoch": 0.55, + "grad_norm": 1.6099324966636748, + "learning_rate": 8.823830389586108e-06, + "loss": 0.7922, + "step": 23405 + }, + { + "epoch": 0.55, + "grad_norm": 1.7903614040765568, + "learning_rate": 8.823072648190484e-06, + "loss": 0.9435, + "step": 23406 + }, + { + "epoch": 0.55, + "grad_norm": 1.6304179408818051, + "learning_rate": 8.822314913647305e-06, + "loss": 0.9596, + "step": 23407 + }, + { + "epoch": 0.55, + "grad_norm": 1.672711156040143, + "learning_rate": 8.821557185960984e-06, + "loss": 0.7766, + "step": 23408 + }, + { + "epoch": 0.55, + "grad_norm": 1.4571570772028477, + "learning_rate": 8.820799465135928e-06, + "loss": 0.7537, + "step": 23409 + }, + { + "epoch": 0.55, + "grad_norm": 1.414292693089927, + "learning_rate": 8.820041751176549e-06, + "loss": 0.8676, + "step": 23410 + }, + { + "epoch": 0.55, + "grad_norm": 1.6528395621608534, + "learning_rate": 8.81928404408726e-06, + "loss": 0.832, + "step": 23411 + }, + { + "epoch": 0.55, + "grad_norm": 1.6233878530815553, + "learning_rate": 8.81852634387248e-06, + "loss": 0.8213, + "step": 23412 + }, + { + "epoch": 0.55, + "grad_norm": 1.5427376977033607, + "learning_rate": 8.817768650536607e-06, + "loss": 0.8675, + "step": 23413 + }, + { + "epoch": 0.55, + "grad_norm": 1.459366887016306, + "learning_rate": 8.817010964084059e-06, + "loss": 0.8969, + "step": 23414 + }, + { + "epoch": 0.55, + "grad_norm": 1.642380788833524, + "learning_rate": 8.81625328451925e-06, + "loss": 0.8417, + "step": 23415 + }, + { + "epoch": 0.55, + "grad_norm": 1.712133130132426, + "learning_rate": 8.815495611846592e-06, + "loss": 0.7565, + "step": 23416 + }, + { + "epoch": 0.55, + "grad_norm": 0.8243855611885833, + "learning_rate": 8.814737946070489e-06, + "loss": 0.7449, + "step": 23417 + }, + { + "epoch": 0.55, + "grad_norm": 1.763351894362198, + "learning_rate": 8.813980287195358e-06, + "loss": 0.8265, + "step": 23418 + }, + { + "epoch": 0.55, + "grad_norm": 1.7391685300642623, + "learning_rate": 8.81322263522561e-06, + "loss": 0.9076, + "step": 23419 + }, + { + "epoch": 0.55, + "grad_norm": 1.5532338314717178, + "learning_rate": 8.812464990165656e-06, + "loss": 0.8369, + "step": 23420 + }, + { + "epoch": 0.55, + "grad_norm": 1.7204215726862306, + "learning_rate": 8.811707352019905e-06, + "loss": 0.8765, + "step": 23421 + }, + { + "epoch": 0.55, + "grad_norm": 1.5577800817276664, + "learning_rate": 8.810949720792771e-06, + "loss": 0.8871, + "step": 23422 + }, + { + "epoch": 0.55, + "grad_norm": 1.6179099972169972, + "learning_rate": 8.810192096488666e-06, + "loss": 0.9492, + "step": 23423 + }, + { + "epoch": 0.55, + "grad_norm": 1.4800130859557694, + "learning_rate": 8.809434479111998e-06, + "loss": 0.8818, + "step": 23424 + }, + { + "epoch": 0.55, + "grad_norm": 5.3811418843401775, + "learning_rate": 8.808676868667177e-06, + "loss": 0.8576, + "step": 23425 + }, + { + "epoch": 0.55, + "grad_norm": 1.7445233312353736, + "learning_rate": 8.807919265158622e-06, + "loss": 0.9616, + "step": 23426 + }, + { + "epoch": 0.55, + "grad_norm": 1.563203991085246, + "learning_rate": 8.807161668590733e-06, + "loss": 0.8091, + "step": 23427 + }, + { + "epoch": 0.55, + "grad_norm": 1.9471579537353407, + "learning_rate": 8.806404078967928e-06, + "loss": 0.9487, + "step": 23428 + }, + { + "epoch": 0.55, + "grad_norm": 1.6642867309982101, + "learning_rate": 8.805646496294613e-06, + "loss": 0.7565, + "step": 23429 + }, + { + "epoch": 0.55, + "grad_norm": 1.503319953450312, + "learning_rate": 8.80488892057521e-06, + "loss": 0.8359, + "step": 23430 + }, + { + "epoch": 0.55, + "grad_norm": 1.388135518658166, + "learning_rate": 8.804131351814117e-06, + "loss": 0.825, + "step": 23431 + }, + { + "epoch": 0.55, + "grad_norm": 1.3941433561008532, + "learning_rate": 8.80337379001575e-06, + "loss": 0.8783, + "step": 23432 + }, + { + "epoch": 0.55, + "grad_norm": 1.5703319924697725, + "learning_rate": 8.802616235184524e-06, + "loss": 0.8432, + "step": 23433 + }, + { + "epoch": 0.55, + "grad_norm": 1.4808386013809196, + "learning_rate": 8.801858687324839e-06, + "loss": 0.8494, + "step": 23434 + }, + { + "epoch": 0.55, + "grad_norm": 1.7922377785609385, + "learning_rate": 8.801101146441114e-06, + "loss": 0.9704, + "step": 23435 + }, + { + "epoch": 0.55, + "grad_norm": 1.7718141902243352, + "learning_rate": 8.800343612537758e-06, + "loss": 0.8017, + "step": 23436 + }, + { + "epoch": 0.55, + "grad_norm": 1.5336971511516135, + "learning_rate": 8.799586085619184e-06, + "loss": 0.8006, + "step": 23437 + }, + { + "epoch": 0.55, + "grad_norm": 1.6989432587727507, + "learning_rate": 8.798828565689796e-06, + "loss": 0.9628, + "step": 23438 + }, + { + "epoch": 0.55, + "grad_norm": 1.5873819806119662, + "learning_rate": 8.79807105275401e-06, + "loss": 0.7862, + "step": 23439 + }, + { + "epoch": 0.55, + "grad_norm": 1.3922191433424103, + "learning_rate": 8.797313546816238e-06, + "loss": 0.9191, + "step": 23440 + }, + { + "epoch": 0.55, + "grad_norm": 1.5337729788153636, + "learning_rate": 8.796556047880883e-06, + "loss": 0.9494, + "step": 23441 + }, + { + "epoch": 0.55, + "grad_norm": 1.605928732041886, + "learning_rate": 8.79579855595236e-06, + "loss": 0.8153, + "step": 23442 + }, + { + "epoch": 0.55, + "grad_norm": 1.585095959552823, + "learning_rate": 8.795041071035078e-06, + "loss": 0.8669, + "step": 23443 + }, + { + "epoch": 0.55, + "grad_norm": 1.6255944312750414, + "learning_rate": 8.794283593133454e-06, + "loss": 0.738, + "step": 23444 + }, + { + "epoch": 0.55, + "grad_norm": 0.7586598690393678, + "learning_rate": 8.793526122251888e-06, + "loss": 0.7155, + "step": 23445 + }, + { + "epoch": 0.55, + "grad_norm": 1.7208555859291013, + "learning_rate": 8.792768658394794e-06, + "loss": 0.8471, + "step": 23446 + }, + { + "epoch": 0.55, + "grad_norm": 1.5970693835244936, + "learning_rate": 8.792011201566587e-06, + "loss": 0.8589, + "step": 23447 + }, + { + "epoch": 0.55, + "grad_norm": 1.5976041936576533, + "learning_rate": 8.791253751771671e-06, + "loss": 1.0917, + "step": 23448 + }, + { + "epoch": 0.55, + "grad_norm": 1.5644924562042817, + "learning_rate": 8.790496309014457e-06, + "loss": 0.8689, + "step": 23449 + }, + { + "epoch": 0.55, + "grad_norm": 1.5955683908732632, + "learning_rate": 8.789738873299356e-06, + "loss": 0.9612, + "step": 23450 + }, + { + "epoch": 0.55, + "grad_norm": 1.8272898600707508, + "learning_rate": 8.788981444630784e-06, + "loss": 0.9292, + "step": 23451 + }, + { + "epoch": 0.55, + "grad_norm": 1.6398860954659424, + "learning_rate": 8.78822402301314e-06, + "loss": 0.9597, + "step": 23452 + }, + { + "epoch": 0.55, + "grad_norm": 1.9397556542514456, + "learning_rate": 8.787466608450843e-06, + "loss": 0.7595, + "step": 23453 + }, + { + "epoch": 0.55, + "grad_norm": 0.800371151823851, + "learning_rate": 8.786709200948299e-06, + "loss": 0.6881, + "step": 23454 + }, + { + "epoch": 0.55, + "grad_norm": 0.7480635136538574, + "learning_rate": 8.785951800509915e-06, + "loss": 0.7051, + "step": 23455 + }, + { + "epoch": 0.55, + "grad_norm": 1.6736951404854474, + "learning_rate": 8.785194407140105e-06, + "loss": 0.8321, + "step": 23456 + }, + { + "epoch": 0.55, + "grad_norm": 1.592732650745439, + "learning_rate": 8.784437020843278e-06, + "loss": 0.7631, + "step": 23457 + }, + { + "epoch": 0.55, + "grad_norm": 1.4683227407450132, + "learning_rate": 8.783679641623845e-06, + "loss": 0.8526, + "step": 23458 + }, + { + "epoch": 0.55, + "grad_norm": 2.412295620922528, + "learning_rate": 8.782922269486211e-06, + "loss": 0.8429, + "step": 23459 + }, + { + "epoch": 0.55, + "grad_norm": 1.5628321745502651, + "learning_rate": 8.782164904434791e-06, + "loss": 0.824, + "step": 23460 + }, + { + "epoch": 0.55, + "grad_norm": 1.5523176960076805, + "learning_rate": 8.781407546473995e-06, + "loss": 0.7855, + "step": 23461 + }, + { + "epoch": 0.55, + "grad_norm": 1.7126044222328882, + "learning_rate": 8.780650195608228e-06, + "loss": 0.8412, + "step": 23462 + }, + { + "epoch": 0.55, + "grad_norm": 1.567746027116616, + "learning_rate": 8.779892851841897e-06, + "loss": 0.9374, + "step": 23463 + }, + { + "epoch": 0.55, + "grad_norm": 0.7757469177925155, + "learning_rate": 8.77913551517942e-06, + "loss": 0.7543, + "step": 23464 + }, + { + "epoch": 0.55, + "grad_norm": 0.8368234555793582, + "learning_rate": 8.778378185625206e-06, + "loss": 0.7667, + "step": 23465 + }, + { + "epoch": 0.55, + "grad_norm": 1.7930876540447511, + "learning_rate": 8.777620863183658e-06, + "loss": 0.7465, + "step": 23466 + }, + { + "epoch": 0.55, + "grad_norm": 1.4595192761088798, + "learning_rate": 8.776863547859185e-06, + "loss": 0.8877, + "step": 23467 + }, + { + "epoch": 0.55, + "grad_norm": 1.5432843843301454, + "learning_rate": 8.776106239656206e-06, + "loss": 0.8163, + "step": 23468 + }, + { + "epoch": 0.55, + "grad_norm": 0.7212004127501804, + "learning_rate": 8.77534893857912e-06, + "loss": 0.7093, + "step": 23469 + }, + { + "epoch": 0.55, + "grad_norm": 0.7701079610584022, + "learning_rate": 8.774591644632338e-06, + "loss": 0.6865, + "step": 23470 + }, + { + "epoch": 0.55, + "grad_norm": 1.3492674378883114, + "learning_rate": 8.773834357820275e-06, + "loss": 0.911, + "step": 23471 + }, + { + "epoch": 0.55, + "grad_norm": 0.7628814464642961, + "learning_rate": 8.773077078147337e-06, + "loss": 0.7481, + "step": 23472 + }, + { + "epoch": 0.55, + "grad_norm": 1.4609272631452934, + "learning_rate": 8.772319805617931e-06, + "loss": 0.8673, + "step": 23473 + }, + { + "epoch": 0.55, + "grad_norm": 1.5629762270997987, + "learning_rate": 8.771562540236467e-06, + "loss": 0.8171, + "step": 23474 + }, + { + "epoch": 0.55, + "grad_norm": 1.5495786670130516, + "learning_rate": 8.77080528200736e-06, + "loss": 0.8962, + "step": 23475 + }, + { + "epoch": 0.55, + "grad_norm": 2.2219265313095904, + "learning_rate": 8.770048030935007e-06, + "loss": 0.8256, + "step": 23476 + }, + { + "epoch": 0.55, + "grad_norm": 2.05074346479166, + "learning_rate": 8.769290787023828e-06, + "loss": 0.889, + "step": 23477 + }, + { + "epoch": 0.55, + "grad_norm": 1.6894809398125459, + "learning_rate": 8.768533550278223e-06, + "loss": 0.9174, + "step": 23478 + }, + { + "epoch": 0.55, + "grad_norm": 1.7178872752109269, + "learning_rate": 8.767776320702614e-06, + "loss": 0.7673, + "step": 23479 + }, + { + "epoch": 0.55, + "grad_norm": 1.5283493460085125, + "learning_rate": 8.767019098301394e-06, + "loss": 0.836, + "step": 23480 + }, + { + "epoch": 0.55, + "grad_norm": 1.823740198133042, + "learning_rate": 8.766261883078981e-06, + "loss": 0.8687, + "step": 23481 + }, + { + "epoch": 0.55, + "grad_norm": 2.3805988489644747, + "learning_rate": 8.765504675039784e-06, + "loss": 0.8488, + "step": 23482 + }, + { + "epoch": 0.55, + "grad_norm": 1.743815663694007, + "learning_rate": 8.764747474188205e-06, + "loss": 0.9743, + "step": 23483 + }, + { + "epoch": 0.55, + "grad_norm": 1.6074513355750135, + "learning_rate": 8.763990280528661e-06, + "loss": 0.9351, + "step": 23484 + }, + { + "epoch": 0.55, + "grad_norm": 1.6277000952783256, + "learning_rate": 8.763233094065556e-06, + "loss": 0.7521, + "step": 23485 + }, + { + "epoch": 0.55, + "grad_norm": 3.8288906844744224, + "learning_rate": 8.7624759148033e-06, + "loss": 0.7785, + "step": 23486 + }, + { + "epoch": 0.55, + "grad_norm": 1.7108136920634334, + "learning_rate": 8.7617187427463e-06, + "loss": 0.7825, + "step": 23487 + }, + { + "epoch": 0.55, + "grad_norm": 1.456536969509168, + "learning_rate": 8.760961577898965e-06, + "loss": 0.8702, + "step": 23488 + }, + { + "epoch": 0.55, + "grad_norm": 1.6946932999131845, + "learning_rate": 8.760204420265707e-06, + "loss": 0.9479, + "step": 23489 + }, + { + "epoch": 0.55, + "grad_norm": 2.2097541351717793, + "learning_rate": 8.75944726985093e-06, + "loss": 0.897, + "step": 23490 + }, + { + "epoch": 0.55, + "grad_norm": 0.8369017481906413, + "learning_rate": 8.758690126659041e-06, + "loss": 0.7507, + "step": 23491 + }, + { + "epoch": 0.55, + "grad_norm": 0.7814148982373927, + "learning_rate": 8.757932990694454e-06, + "loss": 0.7324, + "step": 23492 + }, + { + "epoch": 0.55, + "grad_norm": 1.8587628942195626, + "learning_rate": 8.757175861961576e-06, + "loss": 0.9226, + "step": 23493 + }, + { + "epoch": 0.55, + "grad_norm": 1.657924831184941, + "learning_rate": 8.75641874046481e-06, + "loss": 0.8925, + "step": 23494 + }, + { + "epoch": 0.55, + "grad_norm": 3.827710552734634, + "learning_rate": 8.755661626208568e-06, + "loss": 0.7609, + "step": 23495 + }, + { + "epoch": 0.55, + "grad_norm": 1.5408486243978043, + "learning_rate": 8.75490451919726e-06, + "loss": 0.8438, + "step": 23496 + }, + { + "epoch": 0.55, + "grad_norm": 1.5789110350615947, + "learning_rate": 8.754147419435291e-06, + "loss": 0.8136, + "step": 23497 + }, + { + "epoch": 0.55, + "grad_norm": 1.4952202383160451, + "learning_rate": 8.75339032692707e-06, + "loss": 0.8815, + "step": 23498 + }, + { + "epoch": 0.55, + "grad_norm": 1.4750581192351708, + "learning_rate": 8.752633241677003e-06, + "loss": 0.8216, + "step": 23499 + }, + { + "epoch": 0.55, + "grad_norm": 1.8858416075410813, + "learning_rate": 8.751876163689506e-06, + "loss": 0.8808, + "step": 23500 + }, + { + "epoch": 0.55, + "grad_norm": 3.8073601577720413, + "learning_rate": 8.751119092968978e-06, + "loss": 0.8963, + "step": 23501 + }, + { + "epoch": 0.55, + "grad_norm": 1.6396992609787717, + "learning_rate": 8.75036202951983e-06, + "loss": 0.7994, + "step": 23502 + }, + { + "epoch": 0.55, + "grad_norm": 1.7463649742389347, + "learning_rate": 8.74960497334647e-06, + "loss": 0.8696, + "step": 23503 + }, + { + "epoch": 0.55, + "grad_norm": 1.646379660697829, + "learning_rate": 8.748847924453304e-06, + "loss": 0.7899, + "step": 23504 + }, + { + "epoch": 0.55, + "grad_norm": 1.5916391777071397, + "learning_rate": 8.748090882844742e-06, + "loss": 0.9067, + "step": 23505 + }, + { + "epoch": 0.55, + "grad_norm": 0.7949279526002512, + "learning_rate": 8.747333848525193e-06, + "loss": 0.7028, + "step": 23506 + }, + { + "epoch": 0.55, + "grad_norm": 1.6834118895527652, + "learning_rate": 8.746576821499062e-06, + "loss": 0.8861, + "step": 23507 + }, + { + "epoch": 0.55, + "grad_norm": 1.8692439218375676, + "learning_rate": 8.745819801770756e-06, + "loss": 1.0177, + "step": 23508 + }, + { + "epoch": 0.55, + "grad_norm": 1.5499614122424883, + "learning_rate": 8.745062789344686e-06, + "loss": 0.748, + "step": 23509 + }, + { + "epoch": 0.55, + "grad_norm": 1.497998271053261, + "learning_rate": 8.74430578422526e-06, + "loss": 0.8249, + "step": 23510 + }, + { + "epoch": 0.55, + "grad_norm": 1.651660584422252, + "learning_rate": 8.74354878641688e-06, + "loss": 0.8757, + "step": 23511 + }, + { + "epoch": 0.55, + "grad_norm": 2.1296981317174697, + "learning_rate": 8.742791795923956e-06, + "loss": 0.958, + "step": 23512 + }, + { + "epoch": 0.55, + "grad_norm": 1.56104905592789, + "learning_rate": 8.742034812750896e-06, + "loss": 0.9043, + "step": 23513 + }, + { + "epoch": 0.55, + "grad_norm": 1.6122968784964273, + "learning_rate": 8.741277836902114e-06, + "loss": 0.7491, + "step": 23514 + }, + { + "epoch": 0.55, + "grad_norm": 0.7946481520483445, + "learning_rate": 8.740520868382005e-06, + "loss": 0.73, + "step": 23515 + }, + { + "epoch": 0.55, + "grad_norm": 1.458322015569223, + "learning_rate": 8.739763907194981e-06, + "loss": 0.7967, + "step": 23516 + }, + { + "epoch": 0.55, + "grad_norm": 1.7004341940959382, + "learning_rate": 8.739006953345455e-06, + "loss": 0.8245, + "step": 23517 + }, + { + "epoch": 0.55, + "grad_norm": 1.4285341271031735, + "learning_rate": 8.738250006837828e-06, + "loss": 0.7499, + "step": 23518 + }, + { + "epoch": 0.55, + "grad_norm": 1.7502811302331582, + "learning_rate": 8.737493067676508e-06, + "loss": 0.8632, + "step": 23519 + }, + { + "epoch": 0.55, + "grad_norm": 1.7431353543292418, + "learning_rate": 8.736736135865901e-06, + "loss": 0.8639, + "step": 23520 + }, + { + "epoch": 0.55, + "grad_norm": 1.6353489350058386, + "learning_rate": 8.735979211410423e-06, + "loss": 0.8302, + "step": 23521 + }, + { + "epoch": 0.55, + "grad_norm": 1.846742549441083, + "learning_rate": 8.73522229431447e-06, + "loss": 0.8285, + "step": 23522 + }, + { + "epoch": 0.55, + "grad_norm": 1.4555682474145182, + "learning_rate": 8.73446538458245e-06, + "loss": 0.8386, + "step": 23523 + }, + { + "epoch": 0.55, + "grad_norm": 1.5413378575899033, + "learning_rate": 8.733708482218782e-06, + "loss": 0.856, + "step": 23524 + }, + { + "epoch": 0.55, + "grad_norm": 1.5559148940944059, + "learning_rate": 8.732951587227856e-06, + "loss": 0.9694, + "step": 23525 + }, + { + "epoch": 0.55, + "grad_norm": 1.6935567060594823, + "learning_rate": 8.732194699614089e-06, + "loss": 0.8208, + "step": 23526 + }, + { + "epoch": 0.55, + "grad_norm": 1.7218114147943175, + "learning_rate": 8.731437819381884e-06, + "loss": 0.8524, + "step": 23527 + }, + { + "epoch": 0.55, + "grad_norm": 1.8759094971708354, + "learning_rate": 8.730680946535657e-06, + "loss": 0.8533, + "step": 23528 + }, + { + "epoch": 0.55, + "grad_norm": 1.6655882679488658, + "learning_rate": 8.7299240810798e-06, + "loss": 0.8243, + "step": 23529 + }, + { + "epoch": 0.55, + "grad_norm": 1.5876702262040918, + "learning_rate": 8.72916722301873e-06, + "loss": 0.9907, + "step": 23530 + }, + { + "epoch": 0.55, + "grad_norm": 1.7307312798844854, + "learning_rate": 8.72841037235685e-06, + "loss": 0.94, + "step": 23531 + }, + { + "epoch": 0.55, + "grad_norm": 1.434396944755178, + "learning_rate": 8.727653529098567e-06, + "loss": 0.7411, + "step": 23532 + }, + { + "epoch": 0.55, + "grad_norm": 1.6719519761818098, + "learning_rate": 8.726896693248288e-06, + "loss": 0.8893, + "step": 23533 + }, + { + "epoch": 0.55, + "grad_norm": 2.2671510996159245, + "learning_rate": 8.726139864810422e-06, + "loss": 0.8526, + "step": 23534 + }, + { + "epoch": 0.55, + "grad_norm": 0.7525866546487989, + "learning_rate": 8.725383043789372e-06, + "loss": 0.6907, + "step": 23535 + }, + { + "epoch": 0.55, + "grad_norm": 2.3938879198305547, + "learning_rate": 8.724626230189544e-06, + "loss": 0.9142, + "step": 23536 + }, + { + "epoch": 0.55, + "grad_norm": 1.8896995368721696, + "learning_rate": 8.723869424015345e-06, + "loss": 0.78, + "step": 23537 + }, + { + "epoch": 0.55, + "grad_norm": 1.7231702673942066, + "learning_rate": 8.723112625271184e-06, + "loss": 0.8618, + "step": 23538 + }, + { + "epoch": 0.55, + "grad_norm": 1.8192772022533146, + "learning_rate": 8.722355833961467e-06, + "loss": 1.0312, + "step": 23539 + }, + { + "epoch": 0.55, + "grad_norm": 1.5266120552576452, + "learning_rate": 8.721599050090596e-06, + "loss": 0.8965, + "step": 23540 + }, + { + "epoch": 0.55, + "grad_norm": 1.571859883702076, + "learning_rate": 8.72084227366298e-06, + "loss": 0.9055, + "step": 23541 + }, + { + "epoch": 0.55, + "grad_norm": 1.4087140281280615, + "learning_rate": 8.720085504683028e-06, + "loss": 0.8802, + "step": 23542 + }, + { + "epoch": 0.55, + "grad_norm": 1.7911802115529274, + "learning_rate": 8.719328743155144e-06, + "loss": 0.916, + "step": 23543 + }, + { + "epoch": 0.55, + "grad_norm": 1.6282349336530253, + "learning_rate": 8.718571989083729e-06, + "loss": 0.8953, + "step": 23544 + }, + { + "epoch": 0.55, + "grad_norm": 0.7737962417126208, + "learning_rate": 8.717815242473196e-06, + "loss": 0.7366, + "step": 23545 + }, + { + "epoch": 0.55, + "grad_norm": 1.6238006571177936, + "learning_rate": 8.71705850332795e-06, + "loss": 0.8609, + "step": 23546 + }, + { + "epoch": 0.55, + "grad_norm": 1.4865387382656192, + "learning_rate": 8.716301771652393e-06, + "loss": 0.7953, + "step": 23547 + }, + { + "epoch": 0.55, + "grad_norm": 0.7815795566192357, + "learning_rate": 8.715545047450933e-06, + "loss": 0.6965, + "step": 23548 + }, + { + "epoch": 0.55, + "grad_norm": 1.565193459815535, + "learning_rate": 8.71478833072798e-06, + "loss": 0.6449, + "step": 23549 + }, + { + "epoch": 0.55, + "grad_norm": 1.745430535657735, + "learning_rate": 8.714031621487934e-06, + "loss": 0.9502, + "step": 23550 + }, + { + "epoch": 0.55, + "grad_norm": 0.7850618393144404, + "learning_rate": 8.713274919735204e-06, + "loss": 0.7477, + "step": 23551 + }, + { + "epoch": 0.55, + "grad_norm": 1.7981286695731737, + "learning_rate": 8.712518225474191e-06, + "loss": 0.8811, + "step": 23552 + }, + { + "epoch": 0.55, + "grad_norm": 1.7190221238679277, + "learning_rate": 8.71176153870931e-06, + "loss": 0.8807, + "step": 23553 + }, + { + "epoch": 0.55, + "grad_norm": 1.503834750245392, + "learning_rate": 8.711004859444957e-06, + "loss": 0.9034, + "step": 23554 + }, + { + "epoch": 0.55, + "grad_norm": 1.8434270836534405, + "learning_rate": 8.710248187685545e-06, + "loss": 0.9011, + "step": 23555 + }, + { + "epoch": 0.55, + "grad_norm": 1.5903574178862268, + "learning_rate": 8.709491523435477e-06, + "loss": 0.7098, + "step": 23556 + }, + { + "epoch": 0.55, + "grad_norm": 1.9178897007457152, + "learning_rate": 8.708734866699153e-06, + "loss": 0.8202, + "step": 23557 + }, + { + "epoch": 0.56, + "grad_norm": 1.4820691287107193, + "learning_rate": 8.707978217480986e-06, + "loss": 0.8206, + "step": 23558 + }, + { + "epoch": 0.56, + "grad_norm": 1.570590582272844, + "learning_rate": 8.707221575785379e-06, + "loss": 0.8714, + "step": 23559 + }, + { + "epoch": 0.56, + "grad_norm": 1.8629151151608472, + "learning_rate": 8.706464941616741e-06, + "loss": 0.8196, + "step": 23560 + }, + { + "epoch": 0.56, + "grad_norm": 2.058029827340547, + "learning_rate": 8.705708314979468e-06, + "loss": 0.8632, + "step": 23561 + }, + { + "epoch": 0.56, + "grad_norm": 1.4107004813856596, + "learning_rate": 8.704951695877973e-06, + "loss": 0.796, + "step": 23562 + }, + { + "epoch": 0.56, + "grad_norm": 0.8376083904426417, + "learning_rate": 8.70419508431666e-06, + "loss": 0.7366, + "step": 23563 + }, + { + "epoch": 0.56, + "grad_norm": 2.1699071425434386, + "learning_rate": 8.703438480299932e-06, + "loss": 0.9749, + "step": 23564 + }, + { + "epoch": 0.56, + "grad_norm": 1.8158693241051695, + "learning_rate": 8.702681883832196e-06, + "loss": 0.9214, + "step": 23565 + }, + { + "epoch": 0.56, + "grad_norm": 0.7752795325258665, + "learning_rate": 8.701925294917857e-06, + "loss": 0.6675, + "step": 23566 + }, + { + "epoch": 0.56, + "grad_norm": 3.8771894699256353, + "learning_rate": 8.70116871356132e-06, + "loss": 0.7837, + "step": 23567 + }, + { + "epoch": 0.56, + "grad_norm": 1.6398564601343606, + "learning_rate": 8.700412139766989e-06, + "loss": 0.834, + "step": 23568 + }, + { + "epoch": 0.56, + "grad_norm": 1.7994757597569742, + "learning_rate": 8.69965557353927e-06, + "loss": 0.844, + "step": 23569 + }, + { + "epoch": 0.56, + "grad_norm": 1.6833143302652207, + "learning_rate": 8.698899014882572e-06, + "loss": 0.722, + "step": 23570 + }, + { + "epoch": 0.56, + "grad_norm": 1.428985359020794, + "learning_rate": 8.698142463801292e-06, + "loss": 0.9621, + "step": 23571 + }, + { + "epoch": 0.56, + "grad_norm": 1.8141444410940806, + "learning_rate": 8.697385920299838e-06, + "loss": 0.8708, + "step": 23572 + }, + { + "epoch": 0.56, + "grad_norm": 1.8700558662943476, + "learning_rate": 8.696629384382616e-06, + "loss": 0.7287, + "step": 23573 + }, + { + "epoch": 0.56, + "grad_norm": 2.1007384836620915, + "learning_rate": 8.695872856054034e-06, + "loss": 0.9175, + "step": 23574 + }, + { + "epoch": 0.56, + "grad_norm": 2.133964203820027, + "learning_rate": 8.695116335318492e-06, + "loss": 0.8043, + "step": 23575 + }, + { + "epoch": 0.56, + "grad_norm": 1.820230393981212, + "learning_rate": 8.694359822180391e-06, + "loss": 0.85, + "step": 23576 + }, + { + "epoch": 0.56, + "grad_norm": 1.5098239399247462, + "learning_rate": 8.693603316644147e-06, + "loss": 0.8031, + "step": 23577 + }, + { + "epoch": 0.56, + "grad_norm": 3.0384113656270575, + "learning_rate": 8.692846818714154e-06, + "loss": 1.0299, + "step": 23578 + }, + { + "epoch": 0.56, + "grad_norm": 0.7875649416185538, + "learning_rate": 8.692090328394821e-06, + "loss": 0.8055, + "step": 23579 + }, + { + "epoch": 0.56, + "grad_norm": 1.794673584067406, + "learning_rate": 8.69133384569055e-06, + "loss": 0.8144, + "step": 23580 + }, + { + "epoch": 0.56, + "grad_norm": 1.718370238290883, + "learning_rate": 8.690577370605752e-06, + "loss": 0.9275, + "step": 23581 + }, + { + "epoch": 0.56, + "grad_norm": 1.6979095193374631, + "learning_rate": 8.689820903144827e-06, + "loss": 0.953, + "step": 23582 + }, + { + "epoch": 0.56, + "grad_norm": 2.2386802522159015, + "learning_rate": 8.689064443312177e-06, + "loss": 0.8153, + "step": 23583 + }, + { + "epoch": 0.56, + "grad_norm": 1.53057143150011, + "learning_rate": 8.688307991112212e-06, + "loss": 0.9299, + "step": 23584 + }, + { + "epoch": 0.56, + "grad_norm": 1.7473819672185504, + "learning_rate": 8.68755154654933e-06, + "loss": 0.7949, + "step": 23585 + }, + { + "epoch": 0.56, + "grad_norm": 1.8107857213554326, + "learning_rate": 8.68679510962794e-06, + "loss": 0.9971, + "step": 23586 + }, + { + "epoch": 0.56, + "grad_norm": 1.5036554924222705, + "learning_rate": 8.686038680352442e-06, + "loss": 0.8494, + "step": 23587 + }, + { + "epoch": 0.56, + "grad_norm": 1.4006304946760824, + "learning_rate": 8.685282258727248e-06, + "loss": 0.8125, + "step": 23588 + }, + { + "epoch": 0.56, + "grad_norm": 1.8407436019847028, + "learning_rate": 8.684525844756751e-06, + "loss": 0.8477, + "step": 23589 + }, + { + "epoch": 0.56, + "grad_norm": 1.967943357060203, + "learning_rate": 8.683769438445365e-06, + "loss": 0.8605, + "step": 23590 + }, + { + "epoch": 0.56, + "grad_norm": 1.7399642538486397, + "learning_rate": 8.68301303979749e-06, + "loss": 0.9629, + "step": 23591 + }, + { + "epoch": 0.56, + "grad_norm": 1.5173311272622643, + "learning_rate": 8.682256648817528e-06, + "loss": 0.8073, + "step": 23592 + }, + { + "epoch": 0.56, + "grad_norm": 2.4183508955885102, + "learning_rate": 8.681500265509884e-06, + "loss": 0.9224, + "step": 23593 + }, + { + "epoch": 0.56, + "grad_norm": 1.710634884390193, + "learning_rate": 8.680743889878964e-06, + "loss": 0.9574, + "step": 23594 + }, + { + "epoch": 0.56, + "grad_norm": 1.7548893306554871, + "learning_rate": 8.679987521929174e-06, + "loss": 0.8742, + "step": 23595 + }, + { + "epoch": 0.56, + "grad_norm": 1.604739596229927, + "learning_rate": 8.679231161664911e-06, + "loss": 0.801, + "step": 23596 + }, + { + "epoch": 0.56, + "grad_norm": 1.704624606084419, + "learning_rate": 8.678474809090583e-06, + "loss": 0.8744, + "step": 23597 + }, + { + "epoch": 0.56, + "grad_norm": 1.5923107542925603, + "learning_rate": 8.677718464210594e-06, + "loss": 0.7702, + "step": 23598 + }, + { + "epoch": 0.56, + "grad_norm": 1.424008985933511, + "learning_rate": 8.676962127029348e-06, + "loss": 0.859, + "step": 23599 + }, + { + "epoch": 0.56, + "grad_norm": 0.7707757237780203, + "learning_rate": 8.676205797551243e-06, + "loss": 0.7205, + "step": 23600 + }, + { + "epoch": 0.56, + "grad_norm": 0.7674110237305917, + "learning_rate": 8.675449475780689e-06, + "loss": 0.7078, + "step": 23601 + }, + { + "epoch": 0.56, + "grad_norm": 1.8771214840724806, + "learning_rate": 8.674693161722089e-06, + "loss": 0.8676, + "step": 23602 + }, + { + "epoch": 0.56, + "grad_norm": 0.7927466787200964, + "learning_rate": 8.673936855379844e-06, + "loss": 0.6884, + "step": 23603 + }, + { + "epoch": 0.56, + "grad_norm": 1.6156564886598068, + "learning_rate": 8.673180556758358e-06, + "loss": 0.8215, + "step": 23604 + }, + { + "epoch": 0.56, + "grad_norm": 2.412092598780023, + "learning_rate": 8.672424265862037e-06, + "loss": 0.8484, + "step": 23605 + }, + { + "epoch": 0.56, + "grad_norm": 1.561476935138716, + "learning_rate": 8.671667982695279e-06, + "loss": 0.815, + "step": 23606 + }, + { + "epoch": 0.56, + "grad_norm": 1.6895977011977872, + "learning_rate": 8.670911707262491e-06, + "loss": 0.853, + "step": 23607 + }, + { + "epoch": 0.56, + "grad_norm": 1.756025368376842, + "learning_rate": 8.670155439568076e-06, + "loss": 0.8812, + "step": 23608 + }, + { + "epoch": 0.56, + "grad_norm": 1.815023567364621, + "learning_rate": 8.669399179616441e-06, + "loss": 0.891, + "step": 23609 + }, + { + "epoch": 0.56, + "grad_norm": 1.4074624844424446, + "learning_rate": 8.66864292741198e-06, + "loss": 0.8426, + "step": 23610 + }, + { + "epoch": 0.56, + "grad_norm": 1.8343195821531157, + "learning_rate": 8.667886682959103e-06, + "loss": 0.919, + "step": 23611 + }, + { + "epoch": 0.56, + "grad_norm": 1.8957978328402285, + "learning_rate": 8.667130446262214e-06, + "loss": 0.8655, + "step": 23612 + }, + { + "epoch": 0.56, + "grad_norm": 1.5640414995297325, + "learning_rate": 8.666374217325713e-06, + "loss": 0.8703, + "step": 23613 + }, + { + "epoch": 0.56, + "grad_norm": 1.7578103165811647, + "learning_rate": 8.665617996154e-06, + "loss": 0.758, + "step": 23614 + }, + { + "epoch": 0.56, + "grad_norm": 1.7163652257407378, + "learning_rate": 8.664861782751482e-06, + "loss": 0.9601, + "step": 23615 + }, + { + "epoch": 0.56, + "grad_norm": 1.5936894907140937, + "learning_rate": 8.664105577122566e-06, + "loss": 0.9296, + "step": 23616 + }, + { + "epoch": 0.56, + "grad_norm": 1.6659208331345379, + "learning_rate": 8.663349379271645e-06, + "loss": 0.8518, + "step": 23617 + }, + { + "epoch": 0.56, + "grad_norm": 1.6881380205109524, + "learning_rate": 8.662593189203128e-06, + "loss": 0.7921, + "step": 23618 + }, + { + "epoch": 0.56, + "grad_norm": 1.7657692698023695, + "learning_rate": 8.661837006921422e-06, + "loss": 0.8672, + "step": 23619 + }, + { + "epoch": 0.56, + "grad_norm": 1.5835984829119492, + "learning_rate": 8.661080832430919e-06, + "loss": 0.7948, + "step": 23620 + }, + { + "epoch": 0.56, + "grad_norm": 1.6891396862610164, + "learning_rate": 8.660324665736026e-06, + "loss": 0.9673, + "step": 23621 + }, + { + "epoch": 0.56, + "grad_norm": 1.5054310203391958, + "learning_rate": 8.659568506841151e-06, + "loss": 0.9635, + "step": 23622 + }, + { + "epoch": 0.56, + "grad_norm": 1.6705995050317608, + "learning_rate": 8.658812355750692e-06, + "loss": 0.8512, + "step": 23623 + }, + { + "epoch": 0.56, + "grad_norm": 1.4205972975275094, + "learning_rate": 8.658056212469052e-06, + "loss": 0.7516, + "step": 23624 + }, + { + "epoch": 0.56, + "grad_norm": 1.4835324381886363, + "learning_rate": 8.657300077000632e-06, + "loss": 0.8666, + "step": 23625 + }, + { + "epoch": 0.56, + "grad_norm": 1.5202042945535432, + "learning_rate": 8.65654394934984e-06, + "loss": 0.8914, + "step": 23626 + }, + { + "epoch": 0.56, + "grad_norm": 2.254138611998555, + "learning_rate": 8.65578782952107e-06, + "loss": 1.0321, + "step": 23627 + }, + { + "epoch": 0.56, + "grad_norm": 1.8346839324434125, + "learning_rate": 8.655031717518732e-06, + "loss": 0.8763, + "step": 23628 + }, + { + "epoch": 0.56, + "grad_norm": 0.7945696328362756, + "learning_rate": 8.65427561334722e-06, + "loss": 0.7205, + "step": 23629 + }, + { + "epoch": 0.56, + "grad_norm": 1.3482796714351275, + "learning_rate": 8.653519517010947e-06, + "loss": 0.8677, + "step": 23630 + }, + { + "epoch": 0.56, + "grad_norm": 2.1914662729942793, + "learning_rate": 8.652763428514309e-06, + "loss": 0.9131, + "step": 23631 + }, + { + "epoch": 0.56, + "grad_norm": 1.508382437769598, + "learning_rate": 8.652007347861707e-06, + "loss": 0.794, + "step": 23632 + }, + { + "epoch": 0.56, + "grad_norm": 2.076595825122285, + "learning_rate": 8.651251275057547e-06, + "loss": 0.9257, + "step": 23633 + }, + { + "epoch": 0.56, + "grad_norm": 1.5256437070776523, + "learning_rate": 8.650495210106225e-06, + "loss": 0.8399, + "step": 23634 + }, + { + "epoch": 0.56, + "grad_norm": 1.5620506394460145, + "learning_rate": 8.64973915301215e-06, + "loss": 0.7835, + "step": 23635 + }, + { + "epoch": 0.56, + "grad_norm": 1.5967207547361668, + "learning_rate": 8.648983103779722e-06, + "loss": 0.8761, + "step": 23636 + }, + { + "epoch": 0.56, + "grad_norm": 2.1181720769325194, + "learning_rate": 8.648227062413342e-06, + "loss": 0.7548, + "step": 23637 + }, + { + "epoch": 0.56, + "grad_norm": 1.566467895243868, + "learning_rate": 8.647471028917409e-06, + "loss": 0.8869, + "step": 23638 + }, + { + "epoch": 0.56, + "grad_norm": 2.08140560013311, + "learning_rate": 8.64671500329633e-06, + "loss": 0.871, + "step": 23639 + }, + { + "epoch": 0.56, + "grad_norm": 1.521812290291339, + "learning_rate": 8.645958985554506e-06, + "loss": 0.7825, + "step": 23640 + }, + { + "epoch": 0.56, + "grad_norm": 1.6624893708473003, + "learning_rate": 8.645202975696336e-06, + "loss": 0.8048, + "step": 23641 + }, + { + "epoch": 0.56, + "grad_norm": 1.4598252835053651, + "learning_rate": 8.644446973726222e-06, + "loss": 0.858, + "step": 23642 + }, + { + "epoch": 0.56, + "grad_norm": 1.6540623503226008, + "learning_rate": 8.643690979648567e-06, + "loss": 0.9939, + "step": 23643 + }, + { + "epoch": 0.56, + "grad_norm": 1.7628756162448613, + "learning_rate": 8.642934993467776e-06, + "loss": 0.8349, + "step": 23644 + }, + { + "epoch": 0.56, + "grad_norm": 1.5246792723671283, + "learning_rate": 8.642179015188245e-06, + "loss": 0.9118, + "step": 23645 + }, + { + "epoch": 0.56, + "grad_norm": 1.604985941506053, + "learning_rate": 8.641423044814375e-06, + "loss": 0.8447, + "step": 23646 + }, + { + "epoch": 0.56, + "grad_norm": 0.7626631922466709, + "learning_rate": 8.640667082350574e-06, + "loss": 0.7297, + "step": 23647 + }, + { + "epoch": 0.56, + "grad_norm": 1.6603891555715642, + "learning_rate": 8.639911127801238e-06, + "loss": 0.9604, + "step": 23648 + }, + { + "epoch": 0.56, + "grad_norm": 1.9711929685348102, + "learning_rate": 8.639155181170771e-06, + "loss": 0.8325, + "step": 23649 + }, + { + "epoch": 0.56, + "grad_norm": 1.8498019074620098, + "learning_rate": 8.63839924246357e-06, + "loss": 0.8671, + "step": 23650 + }, + { + "epoch": 0.56, + "grad_norm": 1.7073831429102413, + "learning_rate": 8.637643311684045e-06, + "loss": 0.8412, + "step": 23651 + }, + { + "epoch": 0.56, + "grad_norm": 1.9081723553029903, + "learning_rate": 8.636887388836588e-06, + "loss": 0.9031, + "step": 23652 + }, + { + "epoch": 0.56, + "grad_norm": 1.709405371667164, + "learning_rate": 8.636131473925605e-06, + "loss": 0.8804, + "step": 23653 + }, + { + "epoch": 0.56, + "grad_norm": 1.5412841691954358, + "learning_rate": 8.6353755669555e-06, + "loss": 0.7268, + "step": 23654 + }, + { + "epoch": 0.56, + "grad_norm": 1.484547175559415, + "learning_rate": 8.634619667930664e-06, + "loss": 0.889, + "step": 23655 + }, + { + "epoch": 0.56, + "grad_norm": 1.7693964275783531, + "learning_rate": 8.633863776855508e-06, + "loss": 0.876, + "step": 23656 + }, + { + "epoch": 0.56, + "grad_norm": 0.7726118040135351, + "learning_rate": 8.633107893734427e-06, + "loss": 0.7015, + "step": 23657 + }, + { + "epoch": 0.56, + "grad_norm": 1.645630010661164, + "learning_rate": 8.63235201857183e-06, + "loss": 0.8911, + "step": 23658 + }, + { + "epoch": 0.56, + "grad_norm": 1.3531348303807793, + "learning_rate": 8.631596151372107e-06, + "loss": 0.8176, + "step": 23659 + }, + { + "epoch": 0.56, + "grad_norm": 1.9788260789575325, + "learning_rate": 8.630840292139668e-06, + "loss": 0.8688, + "step": 23660 + }, + { + "epoch": 0.56, + "grad_norm": 1.6692272477783177, + "learning_rate": 8.630084440878906e-06, + "loss": 0.8648, + "step": 23661 + }, + { + "epoch": 0.56, + "grad_norm": 1.572314948365646, + "learning_rate": 8.629328597594233e-06, + "loss": 0.8714, + "step": 23662 + }, + { + "epoch": 0.56, + "grad_norm": 1.6130968361468594, + "learning_rate": 8.628572762290038e-06, + "loss": 0.9448, + "step": 23663 + }, + { + "epoch": 0.56, + "grad_norm": 1.5607297054915747, + "learning_rate": 8.627816934970728e-06, + "loss": 0.761, + "step": 23664 + }, + { + "epoch": 0.56, + "grad_norm": 1.5266840039122356, + "learning_rate": 8.627061115640703e-06, + "loss": 0.8666, + "step": 23665 + }, + { + "epoch": 0.56, + "grad_norm": 1.6092054759862606, + "learning_rate": 8.62630530430436e-06, + "loss": 1.0002, + "step": 23666 + }, + { + "epoch": 0.56, + "grad_norm": 1.9915157287893304, + "learning_rate": 8.625549500966103e-06, + "loss": 0.8079, + "step": 23667 + }, + { + "epoch": 0.56, + "grad_norm": 1.6991753378411572, + "learning_rate": 8.624793705630334e-06, + "loss": 1.0045, + "step": 23668 + }, + { + "epoch": 0.56, + "grad_norm": 1.8699483050379995, + "learning_rate": 8.624037918301453e-06, + "loss": 0.7985, + "step": 23669 + }, + { + "epoch": 0.56, + "grad_norm": 0.7665730811442503, + "learning_rate": 8.623282138983854e-06, + "loss": 0.6999, + "step": 23670 + }, + { + "epoch": 0.56, + "grad_norm": 1.707367204300003, + "learning_rate": 8.622526367681944e-06, + "loss": 0.7417, + "step": 23671 + }, + { + "epoch": 0.56, + "grad_norm": 1.5961735148920841, + "learning_rate": 8.621770604400126e-06, + "loss": 0.9286, + "step": 23672 + }, + { + "epoch": 0.56, + "grad_norm": 1.6099902980580079, + "learning_rate": 8.621014849142792e-06, + "loss": 0.9464, + "step": 23673 + }, + { + "epoch": 0.56, + "grad_norm": 1.7825192280744901, + "learning_rate": 8.620259101914344e-06, + "loss": 0.8962, + "step": 23674 + }, + { + "epoch": 0.56, + "grad_norm": 1.7648004795291239, + "learning_rate": 8.619503362719186e-06, + "loss": 0.8867, + "step": 23675 + }, + { + "epoch": 0.56, + "grad_norm": 1.6223117634956907, + "learning_rate": 8.618747631561719e-06, + "loss": 0.9506, + "step": 23676 + }, + { + "epoch": 0.56, + "grad_norm": 1.5849006747914787, + "learning_rate": 8.617991908446339e-06, + "loss": 0.8311, + "step": 23677 + }, + { + "epoch": 0.56, + "grad_norm": 1.8736711920701705, + "learning_rate": 8.617236193377445e-06, + "loss": 0.8721, + "step": 23678 + }, + { + "epoch": 0.56, + "grad_norm": 1.6408890073775697, + "learning_rate": 8.616480486359444e-06, + "loss": 0.9648, + "step": 23679 + }, + { + "epoch": 0.56, + "grad_norm": 2.5538308323460286, + "learning_rate": 8.61572478739673e-06, + "loss": 0.8402, + "step": 23680 + }, + { + "epoch": 0.56, + "grad_norm": 1.6946789026297566, + "learning_rate": 8.614969096493704e-06, + "loss": 1.007, + "step": 23681 + }, + { + "epoch": 0.56, + "grad_norm": 1.5597681173215228, + "learning_rate": 8.614213413654764e-06, + "loss": 0.8268, + "step": 23682 + }, + { + "epoch": 0.56, + "grad_norm": 0.7468259182580702, + "learning_rate": 8.613457738884316e-06, + "loss": 0.7574, + "step": 23683 + }, + { + "epoch": 0.56, + "grad_norm": 1.482486779032277, + "learning_rate": 8.612702072186757e-06, + "loss": 0.7276, + "step": 23684 + }, + { + "epoch": 0.56, + "grad_norm": 0.7996781928928955, + "learning_rate": 8.611946413566481e-06, + "loss": 0.6782, + "step": 23685 + }, + { + "epoch": 0.56, + "grad_norm": 1.5206984533742944, + "learning_rate": 8.611190763027898e-06, + "loss": 0.9485, + "step": 23686 + }, + { + "epoch": 0.56, + "grad_norm": 1.737278083186934, + "learning_rate": 8.610435120575396e-06, + "loss": 0.8204, + "step": 23687 + }, + { + "epoch": 0.56, + "grad_norm": 1.5075096506973218, + "learning_rate": 8.609679486213384e-06, + "loss": 0.776, + "step": 23688 + }, + { + "epoch": 0.56, + "grad_norm": 1.798322053010691, + "learning_rate": 8.608923859946259e-06, + "loss": 0.9545, + "step": 23689 + }, + { + "epoch": 0.56, + "grad_norm": 1.5044286578785686, + "learning_rate": 8.60816824177842e-06, + "loss": 0.8012, + "step": 23690 + }, + { + "epoch": 0.56, + "grad_norm": 1.5836308387720197, + "learning_rate": 8.607412631714263e-06, + "loss": 0.9724, + "step": 23691 + }, + { + "epoch": 0.56, + "grad_norm": 2.3071435241639797, + "learning_rate": 8.606657029758193e-06, + "loss": 0.8616, + "step": 23692 + }, + { + "epoch": 0.56, + "grad_norm": 1.6917982087094827, + "learning_rate": 8.605901435914608e-06, + "loss": 0.9055, + "step": 23693 + }, + { + "epoch": 0.56, + "grad_norm": 1.644013600870287, + "learning_rate": 8.605145850187904e-06, + "loss": 0.8483, + "step": 23694 + }, + { + "epoch": 0.56, + "grad_norm": 1.7810910562736801, + "learning_rate": 8.60439027258248e-06, + "loss": 0.8934, + "step": 23695 + }, + { + "epoch": 0.56, + "grad_norm": 2.1449150697686448, + "learning_rate": 8.60363470310274e-06, + "loss": 0.8368, + "step": 23696 + }, + { + "epoch": 0.56, + "grad_norm": 0.7407662865865794, + "learning_rate": 8.602879141753084e-06, + "loss": 0.7175, + "step": 23697 + }, + { + "epoch": 0.56, + "grad_norm": 1.4838552100155498, + "learning_rate": 8.602123588537906e-06, + "loss": 0.7792, + "step": 23698 + }, + { + "epoch": 0.56, + "grad_norm": 1.693983335746834, + "learning_rate": 8.601368043461604e-06, + "loss": 0.8897, + "step": 23699 + }, + { + "epoch": 0.56, + "grad_norm": 1.4293575596652377, + "learning_rate": 8.600612506528584e-06, + "loss": 0.8775, + "step": 23700 + }, + { + "epoch": 0.56, + "grad_norm": 1.6690041994725178, + "learning_rate": 8.59985697774324e-06, + "loss": 0.7451, + "step": 23701 + }, + { + "epoch": 0.56, + "grad_norm": 1.5404819129677376, + "learning_rate": 8.599101457109971e-06, + "loss": 1.0042, + "step": 23702 + }, + { + "epoch": 0.56, + "grad_norm": 1.7344197754984272, + "learning_rate": 8.598345944633174e-06, + "loss": 0.9303, + "step": 23703 + }, + { + "epoch": 0.56, + "grad_norm": 1.7281708594086451, + "learning_rate": 8.597590440317257e-06, + "loss": 0.8499, + "step": 23704 + }, + { + "epoch": 0.56, + "grad_norm": 1.9232148763355745, + "learning_rate": 8.596834944166608e-06, + "loss": 0.8294, + "step": 23705 + }, + { + "epoch": 0.56, + "grad_norm": 1.5709957340738867, + "learning_rate": 8.59607945618563e-06, + "loss": 0.9251, + "step": 23706 + }, + { + "epoch": 0.56, + "grad_norm": 1.9770632746473198, + "learning_rate": 8.595323976378727e-06, + "loss": 0.9097, + "step": 23707 + }, + { + "epoch": 0.56, + "grad_norm": 1.5790428354432888, + "learning_rate": 8.594568504750287e-06, + "loss": 0.7078, + "step": 23708 + }, + { + "epoch": 0.56, + "grad_norm": 1.7310407922612199, + "learning_rate": 8.593813041304716e-06, + "loss": 0.8293, + "step": 23709 + }, + { + "epoch": 0.56, + "grad_norm": 1.8018640445519414, + "learning_rate": 8.593057586046409e-06, + "loss": 0.8567, + "step": 23710 + }, + { + "epoch": 0.56, + "grad_norm": 1.541331950210689, + "learning_rate": 8.592302138979773e-06, + "loss": 0.8497, + "step": 23711 + }, + { + "epoch": 0.56, + "grad_norm": 1.7309666907904515, + "learning_rate": 8.59154670010919e-06, + "loss": 0.8943, + "step": 23712 + }, + { + "epoch": 0.56, + "grad_norm": 1.7212818111187724, + "learning_rate": 8.590791269439074e-06, + "loss": 0.7574, + "step": 23713 + }, + { + "epoch": 0.56, + "grad_norm": 4.7365466471162545, + "learning_rate": 8.590035846973817e-06, + "loss": 0.8218, + "step": 23714 + }, + { + "epoch": 0.56, + "grad_norm": 1.7282257860962578, + "learning_rate": 8.589280432717814e-06, + "loss": 0.8919, + "step": 23715 + }, + { + "epoch": 0.56, + "grad_norm": 1.6940174116516753, + "learning_rate": 8.58852502667547e-06, + "loss": 0.8706, + "step": 23716 + }, + { + "epoch": 0.56, + "grad_norm": 0.783310114254053, + "learning_rate": 8.58776962885118e-06, + "loss": 0.7528, + "step": 23717 + }, + { + "epoch": 0.56, + "grad_norm": 1.6759647269845748, + "learning_rate": 8.587014239249344e-06, + "loss": 0.8925, + "step": 23718 + }, + { + "epoch": 0.56, + "grad_norm": 1.865517717174713, + "learning_rate": 8.586258857874355e-06, + "loss": 0.9156, + "step": 23719 + }, + { + "epoch": 0.56, + "grad_norm": 1.6658731415679557, + "learning_rate": 8.585503484730616e-06, + "loss": 0.7746, + "step": 23720 + }, + { + "epoch": 0.56, + "grad_norm": 1.5609194737598502, + "learning_rate": 8.584748119822525e-06, + "loss": 0.8233, + "step": 23721 + }, + { + "epoch": 0.56, + "grad_norm": 1.6495502537906528, + "learning_rate": 8.583992763154476e-06, + "loss": 0.8362, + "step": 23722 + }, + { + "epoch": 0.56, + "grad_norm": 1.4420087411148448, + "learning_rate": 8.583237414730869e-06, + "loss": 0.925, + "step": 23723 + }, + { + "epoch": 0.56, + "grad_norm": 1.6847588944613006, + "learning_rate": 8.582482074556103e-06, + "loss": 0.8387, + "step": 23724 + }, + { + "epoch": 0.56, + "grad_norm": 0.8064931659028021, + "learning_rate": 8.581726742634579e-06, + "loss": 0.7351, + "step": 23725 + }, + { + "epoch": 0.56, + "grad_norm": 1.6774038229202213, + "learning_rate": 8.580971418970687e-06, + "loss": 0.7881, + "step": 23726 + }, + { + "epoch": 0.56, + "grad_norm": 0.693088598271128, + "learning_rate": 8.580216103568828e-06, + "loss": 0.7133, + "step": 23727 + }, + { + "epoch": 0.56, + "grad_norm": 1.6612652594980664, + "learning_rate": 8.579460796433403e-06, + "loss": 0.8509, + "step": 23728 + }, + { + "epoch": 0.56, + "grad_norm": 1.7302568760700274, + "learning_rate": 8.578705497568807e-06, + "loss": 0.8293, + "step": 23729 + }, + { + "epoch": 0.56, + "grad_norm": 1.6711275036461437, + "learning_rate": 8.577950206979436e-06, + "loss": 0.7619, + "step": 23730 + }, + { + "epoch": 0.56, + "grad_norm": 1.9185927138240368, + "learning_rate": 8.577194924669687e-06, + "loss": 0.9489, + "step": 23731 + }, + { + "epoch": 0.56, + "grad_norm": 2.44779793405611, + "learning_rate": 8.576439650643964e-06, + "loss": 0.9189, + "step": 23732 + }, + { + "epoch": 0.56, + "grad_norm": 0.792873140991813, + "learning_rate": 8.575684384906658e-06, + "loss": 0.7111, + "step": 23733 + }, + { + "epoch": 0.56, + "grad_norm": 1.842315926144465, + "learning_rate": 8.574929127462168e-06, + "loss": 0.9108, + "step": 23734 + }, + { + "epoch": 0.56, + "grad_norm": 2.0845530207505716, + "learning_rate": 8.574173878314895e-06, + "loss": 0.92, + "step": 23735 + }, + { + "epoch": 0.56, + "grad_norm": 1.5286061693525497, + "learning_rate": 8.573418637469228e-06, + "loss": 0.8869, + "step": 23736 + }, + { + "epoch": 0.56, + "grad_norm": 1.3637406993483956, + "learning_rate": 8.572663404929573e-06, + "loss": 1.0068, + "step": 23737 + }, + { + "epoch": 0.56, + "grad_norm": 1.5072604509349334, + "learning_rate": 8.57190818070032e-06, + "loss": 0.8925, + "step": 23738 + }, + { + "epoch": 0.56, + "grad_norm": 0.7754515021112693, + "learning_rate": 8.571152964785876e-06, + "loss": 0.7417, + "step": 23739 + }, + { + "epoch": 0.56, + "grad_norm": 1.9522402084266264, + "learning_rate": 8.570397757190624e-06, + "loss": 0.9668, + "step": 23740 + }, + { + "epoch": 0.56, + "grad_norm": 1.7129749476611578, + "learning_rate": 8.569642557918974e-06, + "loss": 0.8708, + "step": 23741 + }, + { + "epoch": 0.56, + "grad_norm": 1.7693267202193819, + "learning_rate": 8.568887366975318e-06, + "loss": 0.8307, + "step": 23742 + }, + { + "epoch": 0.56, + "grad_norm": 1.816969310938273, + "learning_rate": 8.56813218436405e-06, + "loss": 0.8796, + "step": 23743 + }, + { + "epoch": 0.56, + "grad_norm": 1.498222820221204, + "learning_rate": 8.567377010089571e-06, + "loss": 0.9272, + "step": 23744 + }, + { + "epoch": 0.56, + "grad_norm": 1.452085618136701, + "learning_rate": 8.566621844156275e-06, + "loss": 0.8144, + "step": 23745 + }, + { + "epoch": 0.56, + "grad_norm": 1.4953968338741002, + "learning_rate": 8.565866686568565e-06, + "loss": 0.8665, + "step": 23746 + }, + { + "epoch": 0.56, + "grad_norm": 1.5723623597147594, + "learning_rate": 8.565111537330831e-06, + "loss": 0.9199, + "step": 23747 + }, + { + "epoch": 0.56, + "grad_norm": 2.471455248136451, + "learning_rate": 8.56435639644747e-06, + "loss": 0.9157, + "step": 23748 + }, + { + "epoch": 0.56, + "grad_norm": 1.5333651599029297, + "learning_rate": 8.563601263922883e-06, + "loss": 0.9743, + "step": 23749 + }, + { + "epoch": 0.56, + "grad_norm": 1.8267156609216944, + "learning_rate": 8.562846139761462e-06, + "loss": 0.9462, + "step": 23750 + }, + { + "epoch": 0.56, + "grad_norm": 1.517506205267313, + "learning_rate": 8.562091023967606e-06, + "loss": 0.8602, + "step": 23751 + }, + { + "epoch": 0.56, + "grad_norm": 1.7175145450221512, + "learning_rate": 8.56133591654571e-06, + "loss": 0.7336, + "step": 23752 + }, + { + "epoch": 0.56, + "grad_norm": 1.863385858963122, + "learning_rate": 8.560580817500177e-06, + "loss": 0.8066, + "step": 23753 + }, + { + "epoch": 0.56, + "grad_norm": 1.7002592243219954, + "learning_rate": 8.559825726835395e-06, + "loss": 0.8188, + "step": 23754 + }, + { + "epoch": 0.56, + "grad_norm": 1.808288419178667, + "learning_rate": 8.559070644555761e-06, + "loss": 0.946, + "step": 23755 + }, + { + "epoch": 0.56, + "grad_norm": 1.7134062039576654, + "learning_rate": 8.55831557066568e-06, + "loss": 0.8486, + "step": 23756 + }, + { + "epoch": 0.56, + "grad_norm": 2.213294556115209, + "learning_rate": 8.557560505169538e-06, + "loss": 0.8165, + "step": 23757 + }, + { + "epoch": 0.56, + "grad_norm": 1.589321503371513, + "learning_rate": 8.556805448071736e-06, + "loss": 0.9596, + "step": 23758 + }, + { + "epoch": 0.56, + "grad_norm": 1.5999982426908346, + "learning_rate": 8.556050399376667e-06, + "loss": 0.7358, + "step": 23759 + }, + { + "epoch": 0.56, + "grad_norm": 1.8351339374885298, + "learning_rate": 8.555295359088736e-06, + "loss": 0.7859, + "step": 23760 + }, + { + "epoch": 0.56, + "grad_norm": 1.4467844119021613, + "learning_rate": 8.554540327212328e-06, + "loss": 0.9196, + "step": 23761 + }, + { + "epoch": 0.56, + "grad_norm": 1.810008429499622, + "learning_rate": 8.553785303751844e-06, + "loss": 0.9291, + "step": 23762 + }, + { + "epoch": 0.56, + "grad_norm": 1.680673455608165, + "learning_rate": 8.553030288711683e-06, + "loss": 0.8392, + "step": 23763 + }, + { + "epoch": 0.56, + "grad_norm": 1.652508767188381, + "learning_rate": 8.552275282096233e-06, + "loss": 0.9975, + "step": 23764 + }, + { + "epoch": 0.56, + "grad_norm": 1.6455312068914714, + "learning_rate": 8.551520283909898e-06, + "loss": 0.927, + "step": 23765 + }, + { + "epoch": 0.56, + "grad_norm": 1.5572316944596822, + "learning_rate": 8.550765294157069e-06, + "loss": 0.8953, + "step": 23766 + }, + { + "epoch": 0.56, + "grad_norm": 1.8928655893798996, + "learning_rate": 8.550010312842148e-06, + "loss": 0.8356, + "step": 23767 + }, + { + "epoch": 0.56, + "grad_norm": 1.8481914631624288, + "learning_rate": 8.54925533996952e-06, + "loss": 0.7973, + "step": 23768 + }, + { + "epoch": 0.56, + "grad_norm": 0.8212910431649187, + "learning_rate": 8.548500375543587e-06, + "loss": 0.7427, + "step": 23769 + }, + { + "epoch": 0.56, + "grad_norm": 1.4980015192779945, + "learning_rate": 8.547745419568749e-06, + "loss": 0.8801, + "step": 23770 + }, + { + "epoch": 0.56, + "grad_norm": 1.794290203979569, + "learning_rate": 8.546990472049394e-06, + "loss": 0.8357, + "step": 23771 + }, + { + "epoch": 0.56, + "grad_norm": 1.652212751552555, + "learning_rate": 8.546235532989919e-06, + "loss": 0.9053, + "step": 23772 + }, + { + "epoch": 0.56, + "grad_norm": 1.8152417654100106, + "learning_rate": 8.545480602394721e-06, + "loss": 0.864, + "step": 23773 + }, + { + "epoch": 0.56, + "grad_norm": 1.6218987689766966, + "learning_rate": 8.544725680268199e-06, + "loss": 0.992, + "step": 23774 + }, + { + "epoch": 0.56, + "grad_norm": 1.681010312398231, + "learning_rate": 8.543970766614743e-06, + "loss": 1.0234, + "step": 23775 + }, + { + "epoch": 0.56, + "grad_norm": 1.5797562563112653, + "learning_rate": 8.543215861438749e-06, + "loss": 0.9025, + "step": 23776 + }, + { + "epoch": 0.56, + "grad_norm": 1.5378984255817851, + "learning_rate": 8.542460964744615e-06, + "loss": 0.7614, + "step": 23777 + }, + { + "epoch": 0.56, + "grad_norm": 1.7379176102702487, + "learning_rate": 8.541706076536735e-06, + "loss": 0.8243, + "step": 23778 + }, + { + "epoch": 0.56, + "grad_norm": 0.8467425845292137, + "learning_rate": 8.540951196819502e-06, + "loss": 0.7712, + "step": 23779 + }, + { + "epoch": 0.56, + "grad_norm": 1.4914916803915987, + "learning_rate": 8.540196325597312e-06, + "loss": 0.883, + "step": 23780 + }, + { + "epoch": 0.56, + "grad_norm": 0.7947761830093458, + "learning_rate": 8.539441462874566e-06, + "loss": 0.7209, + "step": 23781 + }, + { + "epoch": 0.56, + "grad_norm": 1.8634171546924783, + "learning_rate": 8.538686608655652e-06, + "loss": 0.8755, + "step": 23782 + }, + { + "epoch": 0.56, + "grad_norm": 1.6101990688507515, + "learning_rate": 8.537931762944966e-06, + "loss": 0.7486, + "step": 23783 + }, + { + "epoch": 0.56, + "grad_norm": 7.230845437618248, + "learning_rate": 8.537176925746902e-06, + "loss": 0.7845, + "step": 23784 + }, + { + "epoch": 0.56, + "grad_norm": 1.5822647732188782, + "learning_rate": 8.536422097065863e-06, + "loss": 0.7812, + "step": 23785 + }, + { + "epoch": 0.56, + "grad_norm": 1.605800346065234, + "learning_rate": 8.535667276906234e-06, + "loss": 0.856, + "step": 23786 + }, + { + "epoch": 0.56, + "grad_norm": 1.7786388347135853, + "learning_rate": 8.534912465272414e-06, + "loss": 0.8944, + "step": 23787 + }, + { + "epoch": 0.56, + "grad_norm": 1.5189623705369477, + "learning_rate": 8.5341576621688e-06, + "loss": 0.9102, + "step": 23788 + }, + { + "epoch": 0.56, + "grad_norm": 1.8505429888197835, + "learning_rate": 8.53340286759978e-06, + "loss": 0.9065, + "step": 23789 + }, + { + "epoch": 0.56, + "grad_norm": 1.6139763185255107, + "learning_rate": 8.532648081569756e-06, + "loss": 0.8036, + "step": 23790 + }, + { + "epoch": 0.56, + "grad_norm": 2.2720242518426805, + "learning_rate": 8.531893304083117e-06, + "loss": 0.7353, + "step": 23791 + }, + { + "epoch": 0.56, + "grad_norm": 1.5593842940273621, + "learning_rate": 8.531138535144265e-06, + "loss": 0.8107, + "step": 23792 + }, + { + "epoch": 0.56, + "grad_norm": 1.5334337764680244, + "learning_rate": 8.530383774757583e-06, + "loss": 0.8606, + "step": 23793 + }, + { + "epoch": 0.56, + "grad_norm": 1.4791646034884014, + "learning_rate": 8.529629022927474e-06, + "loss": 0.8511, + "step": 23794 + }, + { + "epoch": 0.56, + "grad_norm": 1.6664543334316075, + "learning_rate": 8.528874279658335e-06, + "loss": 0.8999, + "step": 23795 + }, + { + "epoch": 0.56, + "grad_norm": 4.340070339377043, + "learning_rate": 8.528119544954551e-06, + "loss": 0.8241, + "step": 23796 + }, + { + "epoch": 0.56, + "grad_norm": 1.607273099013546, + "learning_rate": 8.52736481882052e-06, + "loss": 0.9, + "step": 23797 + }, + { + "epoch": 0.56, + "grad_norm": 2.040859076765264, + "learning_rate": 8.526610101260639e-06, + "loss": 0.8981, + "step": 23798 + }, + { + "epoch": 0.56, + "grad_norm": 2.5343193675375164, + "learning_rate": 8.525855392279302e-06, + "loss": 0.8688, + "step": 23799 + }, + { + "epoch": 0.56, + "grad_norm": 0.8128922885135231, + "learning_rate": 8.525100691880898e-06, + "loss": 0.7563, + "step": 23800 + }, + { + "epoch": 0.56, + "grad_norm": 1.3848917714340996, + "learning_rate": 8.524346000069828e-06, + "loss": 0.8913, + "step": 23801 + }, + { + "epoch": 0.56, + "grad_norm": 1.4741905776831143, + "learning_rate": 8.523591316850483e-06, + "loss": 0.8756, + "step": 23802 + }, + { + "epoch": 0.56, + "grad_norm": 1.4306870646222496, + "learning_rate": 8.522836642227254e-06, + "loss": 0.9465, + "step": 23803 + }, + { + "epoch": 0.56, + "grad_norm": 1.629909819644344, + "learning_rate": 8.522081976204539e-06, + "loss": 0.7512, + "step": 23804 + }, + { + "epoch": 0.56, + "grad_norm": 0.7151308304835855, + "learning_rate": 8.52132731878673e-06, + "loss": 0.6647, + "step": 23805 + }, + { + "epoch": 0.56, + "grad_norm": 1.4881399033882665, + "learning_rate": 8.520572669978224e-06, + "loss": 0.8286, + "step": 23806 + }, + { + "epoch": 0.56, + "grad_norm": 1.471601744314138, + "learning_rate": 8.519818029783412e-06, + "loss": 0.7736, + "step": 23807 + }, + { + "epoch": 0.56, + "grad_norm": 1.5057496655818476, + "learning_rate": 8.519063398206684e-06, + "loss": 0.7622, + "step": 23808 + }, + { + "epoch": 0.56, + "grad_norm": 1.8640689962179762, + "learning_rate": 8.518308775252444e-06, + "loss": 0.767, + "step": 23809 + }, + { + "epoch": 0.56, + "grad_norm": 0.7805106860488343, + "learning_rate": 8.517554160925073e-06, + "loss": 0.7075, + "step": 23810 + }, + { + "epoch": 0.56, + "grad_norm": 0.7374690333730807, + "learning_rate": 8.516799555228974e-06, + "loss": 0.7483, + "step": 23811 + }, + { + "epoch": 0.56, + "grad_norm": 0.7662296695674796, + "learning_rate": 8.516044958168535e-06, + "loss": 0.745, + "step": 23812 + }, + { + "epoch": 0.56, + "grad_norm": 1.6910239589066791, + "learning_rate": 8.515290369748158e-06, + "loss": 0.9699, + "step": 23813 + }, + { + "epoch": 0.56, + "grad_norm": 1.7282878031218212, + "learning_rate": 8.514535789972226e-06, + "loss": 0.8022, + "step": 23814 + }, + { + "epoch": 0.56, + "grad_norm": 1.4749822773884624, + "learning_rate": 8.513781218845137e-06, + "loss": 0.8154, + "step": 23815 + }, + { + "epoch": 0.56, + "grad_norm": 1.8448000601259984, + "learning_rate": 8.513026656371288e-06, + "loss": 0.913, + "step": 23816 + }, + { + "epoch": 0.56, + "grad_norm": 1.4907463364230658, + "learning_rate": 8.512272102555063e-06, + "loss": 0.8607, + "step": 23817 + }, + { + "epoch": 0.56, + "grad_norm": 1.8944830362646894, + "learning_rate": 8.511517557400864e-06, + "loss": 0.9237, + "step": 23818 + }, + { + "epoch": 0.56, + "grad_norm": 1.5471947407938889, + "learning_rate": 8.51076302091308e-06, + "loss": 0.7799, + "step": 23819 + }, + { + "epoch": 0.56, + "grad_norm": 0.860362760252289, + "learning_rate": 8.510008493096109e-06, + "loss": 0.7155, + "step": 23820 + }, + { + "epoch": 0.56, + "grad_norm": 1.4398074883753398, + "learning_rate": 8.509253973954334e-06, + "loss": 0.7864, + "step": 23821 + }, + { + "epoch": 0.56, + "grad_norm": 1.614713798740135, + "learning_rate": 8.508499463492157e-06, + "loss": 0.9443, + "step": 23822 + }, + { + "epoch": 0.56, + "grad_norm": 1.885084316028589, + "learning_rate": 8.507744961713972e-06, + "loss": 0.8024, + "step": 23823 + }, + { + "epoch": 0.56, + "grad_norm": 3.0142140705781135, + "learning_rate": 8.506990468624164e-06, + "loss": 0.8268, + "step": 23824 + }, + { + "epoch": 0.56, + "grad_norm": 0.7684890477705509, + "learning_rate": 8.506235984227129e-06, + "loss": 0.7111, + "step": 23825 + }, + { + "epoch": 0.56, + "grad_norm": 1.6418536581676302, + "learning_rate": 8.505481508527263e-06, + "loss": 0.908, + "step": 23826 + }, + { + "epoch": 0.56, + "grad_norm": 1.4937190127364892, + "learning_rate": 8.504727041528959e-06, + "loss": 0.8799, + "step": 23827 + }, + { + "epoch": 0.56, + "grad_norm": 2.2876198444898512, + "learning_rate": 8.503972583236605e-06, + "loss": 0.8597, + "step": 23828 + }, + { + "epoch": 0.56, + "grad_norm": 1.584821939745262, + "learning_rate": 8.503218133654595e-06, + "loss": 1.0312, + "step": 23829 + }, + { + "epoch": 0.56, + "grad_norm": 1.4908587604351935, + "learning_rate": 8.502463692787327e-06, + "loss": 0.9197, + "step": 23830 + }, + { + "epoch": 0.56, + "grad_norm": 1.9208255094842637, + "learning_rate": 8.501709260639187e-06, + "loss": 0.9371, + "step": 23831 + }, + { + "epoch": 0.56, + "grad_norm": 1.5810412239904288, + "learning_rate": 8.50095483721457e-06, + "loss": 0.9466, + "step": 23832 + }, + { + "epoch": 0.56, + "grad_norm": 2.2243796917810084, + "learning_rate": 8.500200422517866e-06, + "loss": 0.7429, + "step": 23833 + }, + { + "epoch": 0.56, + "grad_norm": 1.543057256926123, + "learning_rate": 8.499446016553475e-06, + "loss": 0.9939, + "step": 23834 + }, + { + "epoch": 0.56, + "grad_norm": 1.6952877246814169, + "learning_rate": 8.498691619325782e-06, + "loss": 0.8656, + "step": 23835 + }, + { + "epoch": 0.56, + "grad_norm": 1.697132479685649, + "learning_rate": 8.497937230839182e-06, + "loss": 0.949, + "step": 23836 + }, + { + "epoch": 0.56, + "grad_norm": 1.670737475416145, + "learning_rate": 8.497182851098068e-06, + "loss": 0.9578, + "step": 23837 + }, + { + "epoch": 0.56, + "grad_norm": 1.9004048782058671, + "learning_rate": 8.496428480106828e-06, + "loss": 0.758, + "step": 23838 + }, + { + "epoch": 0.56, + "grad_norm": 1.6970717466300895, + "learning_rate": 8.495674117869859e-06, + "loss": 0.9042, + "step": 23839 + }, + { + "epoch": 0.56, + "grad_norm": 1.4385260408688183, + "learning_rate": 8.494919764391548e-06, + "loss": 0.8009, + "step": 23840 + }, + { + "epoch": 0.56, + "grad_norm": 1.5772352943552006, + "learning_rate": 8.4941654196763e-06, + "loss": 0.9131, + "step": 23841 + }, + { + "epoch": 0.56, + "grad_norm": 2.346553645021218, + "learning_rate": 8.493411083728491e-06, + "loss": 0.81, + "step": 23842 + }, + { + "epoch": 0.56, + "grad_norm": 1.9459286557248547, + "learning_rate": 8.49265675655252e-06, + "loss": 0.8297, + "step": 23843 + }, + { + "epoch": 0.56, + "grad_norm": 0.7482774471901037, + "learning_rate": 8.49190243815278e-06, + "loss": 0.6818, + "step": 23844 + }, + { + "epoch": 0.56, + "grad_norm": 1.5988338041679417, + "learning_rate": 8.491148128533662e-06, + "loss": 0.8623, + "step": 23845 + }, + { + "epoch": 0.56, + "grad_norm": 1.6391360565140587, + "learning_rate": 8.490393827699554e-06, + "loss": 0.958, + "step": 23846 + }, + { + "epoch": 0.56, + "grad_norm": 1.7202933032784462, + "learning_rate": 8.489639535654855e-06, + "loss": 0.8296, + "step": 23847 + }, + { + "epoch": 0.56, + "grad_norm": 1.7416581912885893, + "learning_rate": 8.488885252403953e-06, + "loss": 0.7978, + "step": 23848 + }, + { + "epoch": 0.56, + "grad_norm": 1.7380883228670039, + "learning_rate": 8.488130977951235e-06, + "loss": 0.83, + "step": 23849 + }, + { + "epoch": 0.56, + "grad_norm": 1.7236894136441165, + "learning_rate": 8.487376712301099e-06, + "loss": 0.8758, + "step": 23850 + }, + { + "epoch": 0.56, + "grad_norm": 1.4484536246673516, + "learning_rate": 8.486622455457938e-06, + "loss": 0.7552, + "step": 23851 + }, + { + "epoch": 0.56, + "grad_norm": 1.5443227173291971, + "learning_rate": 8.485868207426136e-06, + "loss": 1.0245, + "step": 23852 + }, + { + "epoch": 0.56, + "grad_norm": 1.8849046449891687, + "learning_rate": 8.485113968210089e-06, + "loss": 0.9571, + "step": 23853 + }, + { + "epoch": 0.56, + "grad_norm": 1.4994030198110728, + "learning_rate": 8.484359737814189e-06, + "loss": 0.7768, + "step": 23854 + }, + { + "epoch": 0.56, + "grad_norm": 1.5696909679402098, + "learning_rate": 8.483605516242829e-06, + "loss": 0.8091, + "step": 23855 + }, + { + "epoch": 0.56, + "grad_norm": 1.5993287923296495, + "learning_rate": 8.482851303500395e-06, + "loss": 0.9672, + "step": 23856 + }, + { + "epoch": 0.56, + "grad_norm": 1.780382182673302, + "learning_rate": 8.48209709959128e-06, + "loss": 0.9729, + "step": 23857 + }, + { + "epoch": 0.56, + "grad_norm": 2.022571198856448, + "learning_rate": 8.481342904519882e-06, + "loss": 0.8017, + "step": 23858 + }, + { + "epoch": 0.56, + "grad_norm": 1.4990941103427449, + "learning_rate": 8.480588718290579e-06, + "loss": 0.9816, + "step": 23859 + }, + { + "epoch": 0.56, + "grad_norm": 1.5658625418615193, + "learning_rate": 8.479834540907774e-06, + "loss": 0.8283, + "step": 23860 + }, + { + "epoch": 0.56, + "grad_norm": 0.7669582837653235, + "learning_rate": 8.479080372375848e-06, + "loss": 0.7349, + "step": 23861 + }, + { + "epoch": 0.56, + "grad_norm": 1.6175688228551874, + "learning_rate": 8.478326212699205e-06, + "loss": 0.9186, + "step": 23862 + }, + { + "epoch": 0.56, + "grad_norm": 1.633727529913108, + "learning_rate": 8.477572061882225e-06, + "loss": 0.8958, + "step": 23863 + }, + { + "epoch": 0.56, + "grad_norm": 0.7930765304449419, + "learning_rate": 8.476817919929304e-06, + "loss": 0.7058, + "step": 23864 + }, + { + "epoch": 0.56, + "grad_norm": 1.71142632452797, + "learning_rate": 8.47606378684483e-06, + "loss": 0.9869, + "step": 23865 + }, + { + "epoch": 0.56, + "grad_norm": 0.8298871677427316, + "learning_rate": 8.475309662633195e-06, + "loss": 0.7149, + "step": 23866 + }, + { + "epoch": 0.56, + "grad_norm": 1.696461197539184, + "learning_rate": 8.474555547298789e-06, + "loss": 0.9147, + "step": 23867 + }, + { + "epoch": 0.56, + "grad_norm": 1.5655387187251173, + "learning_rate": 8.473801440846005e-06, + "loss": 0.9276, + "step": 23868 + }, + { + "epoch": 0.56, + "grad_norm": 1.6387091598386638, + "learning_rate": 8.473047343279233e-06, + "loss": 0.8255, + "step": 23869 + }, + { + "epoch": 0.56, + "grad_norm": 1.5582109622805742, + "learning_rate": 8.472293254602858e-06, + "loss": 0.8427, + "step": 23870 + }, + { + "epoch": 0.56, + "grad_norm": 1.4726780867190812, + "learning_rate": 8.47153917482128e-06, + "loss": 0.8428, + "step": 23871 + }, + { + "epoch": 0.56, + "grad_norm": 1.679990705857954, + "learning_rate": 8.470785103938887e-06, + "loss": 0.8494, + "step": 23872 + }, + { + "epoch": 0.56, + "grad_norm": 1.9281453511438378, + "learning_rate": 8.470031041960062e-06, + "loss": 0.7682, + "step": 23873 + }, + { + "epoch": 0.56, + "grad_norm": 1.586834808736407, + "learning_rate": 8.469276988889202e-06, + "loss": 0.8682, + "step": 23874 + }, + { + "epoch": 0.56, + "grad_norm": 1.6810280993792912, + "learning_rate": 8.468522944730697e-06, + "loss": 0.8607, + "step": 23875 + }, + { + "epoch": 0.56, + "grad_norm": 1.6533032234818938, + "learning_rate": 8.467768909488938e-06, + "loss": 0.9047, + "step": 23876 + }, + { + "epoch": 0.56, + "grad_norm": 1.627986355924687, + "learning_rate": 8.46701488316831e-06, + "loss": 0.9652, + "step": 23877 + }, + { + "epoch": 0.56, + "grad_norm": 1.6050583545724175, + "learning_rate": 8.466260865773207e-06, + "loss": 0.8323, + "step": 23878 + }, + { + "epoch": 0.56, + "grad_norm": 1.3697957228620283, + "learning_rate": 8.465506857308021e-06, + "loss": 0.7951, + "step": 23879 + }, + { + "epoch": 0.56, + "grad_norm": 1.6603765783241677, + "learning_rate": 8.46475285777714e-06, + "loss": 0.9038, + "step": 23880 + }, + { + "epoch": 0.56, + "grad_norm": 1.649061025367383, + "learning_rate": 8.463998867184952e-06, + "loss": 0.8291, + "step": 23881 + }, + { + "epoch": 0.56, + "grad_norm": 1.6587837881395509, + "learning_rate": 8.463244885535849e-06, + "loss": 0.9267, + "step": 23882 + }, + { + "epoch": 0.56, + "grad_norm": 1.7590212589754497, + "learning_rate": 8.462490912834222e-06, + "loss": 0.9362, + "step": 23883 + }, + { + "epoch": 0.56, + "grad_norm": 1.680034885551862, + "learning_rate": 8.461736949084458e-06, + "loss": 0.9562, + "step": 23884 + }, + { + "epoch": 0.56, + "grad_norm": 1.5104356829057464, + "learning_rate": 8.460982994290951e-06, + "loss": 0.8877, + "step": 23885 + }, + { + "epoch": 0.56, + "grad_norm": 1.7532061647866783, + "learning_rate": 8.46022904845809e-06, + "loss": 0.9332, + "step": 23886 + }, + { + "epoch": 0.56, + "grad_norm": 1.4952895797916543, + "learning_rate": 8.459475111590256e-06, + "loss": 0.7758, + "step": 23887 + }, + { + "epoch": 0.56, + "grad_norm": 0.7837115124027644, + "learning_rate": 8.45872118369185e-06, + "loss": 0.7098, + "step": 23888 + }, + { + "epoch": 0.56, + "grad_norm": 1.659592282628042, + "learning_rate": 8.457967264767253e-06, + "loss": 0.8486, + "step": 23889 + }, + { + "epoch": 0.56, + "grad_norm": 1.589946349495192, + "learning_rate": 8.457213354820868e-06, + "loss": 0.8739, + "step": 23890 + }, + { + "epoch": 0.56, + "grad_norm": 1.3619387464795722, + "learning_rate": 8.456459453857067e-06, + "loss": 0.8451, + "step": 23891 + }, + { + "epoch": 0.56, + "grad_norm": 2.0113256141218057, + "learning_rate": 8.45570556188025e-06, + "loss": 0.8568, + "step": 23892 + }, + { + "epoch": 0.56, + "grad_norm": 1.5182810602600385, + "learning_rate": 8.454951678894807e-06, + "loss": 0.824, + "step": 23893 + }, + { + "epoch": 0.56, + "grad_norm": 1.777144976946202, + "learning_rate": 8.454197804905123e-06, + "loss": 0.8411, + "step": 23894 + }, + { + "epoch": 0.56, + "grad_norm": 2.029074534095529, + "learning_rate": 8.453443939915586e-06, + "loss": 0.751, + "step": 23895 + }, + { + "epoch": 0.56, + "grad_norm": 1.6552100668440244, + "learning_rate": 8.45269008393059e-06, + "loss": 0.8273, + "step": 23896 + }, + { + "epoch": 0.56, + "grad_norm": 1.6271277333761802, + "learning_rate": 8.451936236954524e-06, + "loss": 0.7005, + "step": 23897 + }, + { + "epoch": 0.56, + "grad_norm": 1.6227129469406307, + "learning_rate": 8.45118239899177e-06, + "loss": 0.8144, + "step": 23898 + }, + { + "epoch": 0.56, + "grad_norm": 1.6760686014992618, + "learning_rate": 8.450428570046725e-06, + "loss": 0.9166, + "step": 23899 + }, + { + "epoch": 0.56, + "grad_norm": 1.7449126658419187, + "learning_rate": 8.44967475012378e-06, + "loss": 0.8826, + "step": 23900 + }, + { + "epoch": 0.56, + "grad_norm": 1.721387947998397, + "learning_rate": 8.448920939227316e-06, + "loss": 0.9211, + "step": 23901 + }, + { + "epoch": 0.56, + "grad_norm": 1.5620814364806863, + "learning_rate": 8.448167137361723e-06, + "loss": 0.8485, + "step": 23902 + }, + { + "epoch": 0.56, + "grad_norm": 0.760587889399215, + "learning_rate": 8.447413344531394e-06, + "loss": 0.7027, + "step": 23903 + }, + { + "epoch": 0.56, + "grad_norm": 1.6161840048358207, + "learning_rate": 8.446659560740718e-06, + "loss": 0.8833, + "step": 23904 + }, + { + "epoch": 0.56, + "grad_norm": 1.485337957315034, + "learning_rate": 8.44590578599408e-06, + "loss": 0.7126, + "step": 23905 + }, + { + "epoch": 0.56, + "grad_norm": 1.5391644285662924, + "learning_rate": 8.445152020295869e-06, + "loss": 0.9256, + "step": 23906 + }, + { + "epoch": 0.56, + "grad_norm": 1.6227742750283027, + "learning_rate": 8.444398263650477e-06, + "loss": 0.8704, + "step": 23907 + }, + { + "epoch": 0.56, + "grad_norm": 1.5639891429215447, + "learning_rate": 8.443644516062293e-06, + "loss": 0.8069, + "step": 23908 + }, + { + "epoch": 0.56, + "grad_norm": 1.8350501795976213, + "learning_rate": 8.4428907775357e-06, + "loss": 0.8931, + "step": 23909 + }, + { + "epoch": 0.56, + "grad_norm": 0.7903835717097721, + "learning_rate": 8.44213704807509e-06, + "loss": 0.7271, + "step": 23910 + }, + { + "epoch": 0.56, + "grad_norm": 1.7112111946470474, + "learning_rate": 8.441383327684854e-06, + "loss": 0.9069, + "step": 23911 + }, + { + "epoch": 0.56, + "grad_norm": 1.4981284591033253, + "learning_rate": 8.440629616369375e-06, + "loss": 0.9279, + "step": 23912 + }, + { + "epoch": 0.56, + "grad_norm": 1.6673971677208337, + "learning_rate": 8.439875914133044e-06, + "loss": 0.9782, + "step": 23913 + }, + { + "epoch": 0.56, + "grad_norm": 1.617864990895652, + "learning_rate": 8.439122220980249e-06, + "loss": 0.8577, + "step": 23914 + }, + { + "epoch": 0.56, + "grad_norm": 1.5583316829065068, + "learning_rate": 8.438368536915382e-06, + "loss": 0.8392, + "step": 23915 + }, + { + "epoch": 0.56, + "grad_norm": 1.780117846916719, + "learning_rate": 8.437614861942826e-06, + "loss": 0.873, + "step": 23916 + }, + { + "epoch": 0.56, + "grad_norm": 1.858764770347725, + "learning_rate": 8.43686119606697e-06, + "loss": 0.9046, + "step": 23917 + }, + { + "epoch": 0.56, + "grad_norm": 1.8361482831820868, + "learning_rate": 8.436107539292206e-06, + "loss": 0.9439, + "step": 23918 + }, + { + "epoch": 0.56, + "grad_norm": 0.7904816635878444, + "learning_rate": 8.435353891622915e-06, + "loss": 0.7382, + "step": 23919 + }, + { + "epoch": 0.56, + "grad_norm": 1.5767573967987092, + "learning_rate": 8.434600253063489e-06, + "loss": 0.7638, + "step": 23920 + }, + { + "epoch": 0.56, + "grad_norm": 1.6061058266911015, + "learning_rate": 8.433846623618319e-06, + "loss": 0.8379, + "step": 23921 + }, + { + "epoch": 0.56, + "grad_norm": 1.5089978315148147, + "learning_rate": 8.43309300329179e-06, + "loss": 0.787, + "step": 23922 + }, + { + "epoch": 0.56, + "grad_norm": 1.6767006939963793, + "learning_rate": 8.432339392088286e-06, + "loss": 0.9343, + "step": 23923 + }, + { + "epoch": 0.56, + "grad_norm": 1.5116425603680768, + "learning_rate": 8.4315857900122e-06, + "loss": 0.8615, + "step": 23924 + }, + { + "epoch": 0.56, + "grad_norm": 1.7929208387665605, + "learning_rate": 8.43083219706792e-06, + "loss": 0.8732, + "step": 23925 + }, + { + "epoch": 0.56, + "grad_norm": 2.0358987139927525, + "learning_rate": 8.430078613259832e-06, + "loss": 0.8048, + "step": 23926 + }, + { + "epoch": 0.56, + "grad_norm": 1.5625275393011153, + "learning_rate": 8.42932503859232e-06, + "loss": 0.9789, + "step": 23927 + }, + { + "epoch": 0.56, + "grad_norm": 1.5915121390803084, + "learning_rate": 8.428571473069775e-06, + "loss": 0.9118, + "step": 23928 + }, + { + "epoch": 0.56, + "grad_norm": 1.508479538744773, + "learning_rate": 8.427817916696588e-06, + "loss": 0.6839, + "step": 23929 + }, + { + "epoch": 0.56, + "grad_norm": 1.5296127026062485, + "learning_rate": 8.42706436947714e-06, + "loss": 0.8481, + "step": 23930 + }, + { + "epoch": 0.56, + "grad_norm": 0.7321174306933432, + "learning_rate": 8.42631083141582e-06, + "loss": 0.7246, + "step": 23931 + }, + { + "epoch": 0.56, + "grad_norm": 1.705348295973627, + "learning_rate": 8.42555730251702e-06, + "loss": 0.8513, + "step": 23932 + }, + { + "epoch": 0.56, + "grad_norm": 1.6674863373100202, + "learning_rate": 8.424803782785123e-06, + "loss": 0.9197, + "step": 23933 + }, + { + "epoch": 0.56, + "grad_norm": 1.668286854764303, + "learning_rate": 8.424050272224515e-06, + "loss": 0.8174, + "step": 23934 + }, + { + "epoch": 0.56, + "grad_norm": 1.9857043529631992, + "learning_rate": 8.423296770839584e-06, + "loss": 0.7314, + "step": 23935 + }, + { + "epoch": 0.56, + "grad_norm": 1.507840460129069, + "learning_rate": 8.422543278634726e-06, + "loss": 0.9701, + "step": 23936 + }, + { + "epoch": 0.56, + "grad_norm": 1.78510444824719, + "learning_rate": 8.421789795614315e-06, + "loss": 0.8315, + "step": 23937 + }, + { + "epoch": 0.56, + "grad_norm": 2.64800625961581, + "learning_rate": 8.421036321782741e-06, + "loss": 0.8013, + "step": 23938 + }, + { + "epoch": 0.56, + "grad_norm": 1.490146094527612, + "learning_rate": 8.4202828571444e-06, + "loss": 0.8639, + "step": 23939 + }, + { + "epoch": 0.56, + "grad_norm": 1.5277537763860423, + "learning_rate": 8.419529401703667e-06, + "loss": 0.9792, + "step": 23940 + }, + { + "epoch": 0.56, + "grad_norm": 1.5670106002821669, + "learning_rate": 8.418775955464935e-06, + "loss": 0.9672, + "step": 23941 + }, + { + "epoch": 0.56, + "grad_norm": 1.6218310024370999, + "learning_rate": 8.418022518432588e-06, + "loss": 0.9799, + "step": 23942 + }, + { + "epoch": 0.56, + "grad_norm": 0.7613404707512547, + "learning_rate": 8.417269090611023e-06, + "loss": 0.7398, + "step": 23943 + }, + { + "epoch": 0.56, + "grad_norm": 0.7455251444125963, + "learning_rate": 8.416515672004611e-06, + "loss": 0.7726, + "step": 23944 + }, + { + "epoch": 0.56, + "grad_norm": 1.6843707271184007, + "learning_rate": 8.415762262617748e-06, + "loss": 0.9051, + "step": 23945 + }, + { + "epoch": 0.56, + "grad_norm": 1.6286158154129302, + "learning_rate": 8.41500886245482e-06, + "loss": 0.8244, + "step": 23946 + }, + { + "epoch": 0.56, + "grad_norm": 0.7442547645970624, + "learning_rate": 8.41425547152021e-06, + "loss": 0.7087, + "step": 23947 + }, + { + "epoch": 0.56, + "grad_norm": 1.706444360751978, + "learning_rate": 8.413502089818307e-06, + "loss": 0.7617, + "step": 23948 + }, + { + "epoch": 0.56, + "grad_norm": 1.6981583745490227, + "learning_rate": 8.412748717353499e-06, + "loss": 0.946, + "step": 23949 + }, + { + "epoch": 0.56, + "grad_norm": 1.6593457587959626, + "learning_rate": 8.41199535413017e-06, + "loss": 0.866, + "step": 23950 + }, + { + "epoch": 0.56, + "grad_norm": 1.5372756373680432, + "learning_rate": 8.411242000152705e-06, + "loss": 0.84, + "step": 23951 + }, + { + "epoch": 0.56, + "grad_norm": 1.719246353182875, + "learning_rate": 8.410488655425493e-06, + "loss": 0.7861, + "step": 23952 + }, + { + "epoch": 0.56, + "grad_norm": 0.7358255492841796, + "learning_rate": 8.40973531995292e-06, + "loss": 0.7281, + "step": 23953 + }, + { + "epoch": 0.56, + "grad_norm": 1.5115547526318796, + "learning_rate": 8.40898199373937e-06, + "loss": 0.7145, + "step": 23954 + }, + { + "epoch": 0.56, + "grad_norm": 1.7605344869806996, + "learning_rate": 8.40822867678923e-06, + "loss": 0.8551, + "step": 23955 + }, + { + "epoch": 0.56, + "grad_norm": 1.578002265796653, + "learning_rate": 8.407475369106889e-06, + "loss": 0.8681, + "step": 23956 + }, + { + "epoch": 0.56, + "grad_norm": 0.8349076329332178, + "learning_rate": 8.406722070696731e-06, + "loss": 0.7572, + "step": 23957 + }, + { + "epoch": 0.56, + "grad_norm": 1.4753674758672402, + "learning_rate": 8.405968781563141e-06, + "loss": 0.8392, + "step": 23958 + }, + { + "epoch": 0.56, + "grad_norm": 1.6015083431945367, + "learning_rate": 8.405215501710501e-06, + "loss": 0.8551, + "step": 23959 + }, + { + "epoch": 0.56, + "grad_norm": 1.576955740076691, + "learning_rate": 8.404462231143208e-06, + "loss": 0.8783, + "step": 23960 + }, + { + "epoch": 0.56, + "grad_norm": 1.5018668113900662, + "learning_rate": 8.403708969865638e-06, + "loss": 0.7401, + "step": 23961 + }, + { + "epoch": 0.56, + "grad_norm": 1.8596981835779065, + "learning_rate": 8.402955717882179e-06, + "loss": 0.8913, + "step": 23962 + }, + { + "epoch": 0.56, + "grad_norm": 1.497928888807153, + "learning_rate": 8.402202475197216e-06, + "loss": 0.7983, + "step": 23963 + }, + { + "epoch": 0.56, + "grad_norm": 1.6288642561104003, + "learning_rate": 8.40144924181514e-06, + "loss": 0.8143, + "step": 23964 + }, + { + "epoch": 0.56, + "grad_norm": 1.6310746758932873, + "learning_rate": 8.400696017740329e-06, + "loss": 0.9402, + "step": 23965 + }, + { + "epoch": 0.56, + "grad_norm": 0.7502846276313522, + "learning_rate": 8.399942802977175e-06, + "loss": 0.6605, + "step": 23966 + }, + { + "epoch": 0.56, + "grad_norm": 1.456768612119286, + "learning_rate": 8.39918959753006e-06, + "loss": 0.9347, + "step": 23967 + }, + { + "epoch": 0.56, + "grad_norm": 1.5247387737436566, + "learning_rate": 8.398436401403368e-06, + "loss": 0.9584, + "step": 23968 + }, + { + "epoch": 0.56, + "grad_norm": 1.6486619033815495, + "learning_rate": 8.397683214601487e-06, + "loss": 0.8321, + "step": 23969 + }, + { + "epoch": 0.56, + "grad_norm": 1.9083805649937702, + "learning_rate": 8.396930037128803e-06, + "loss": 0.8576, + "step": 23970 + }, + { + "epoch": 0.56, + "grad_norm": 0.7310746205215337, + "learning_rate": 8.3961768689897e-06, + "loss": 0.7179, + "step": 23971 + }, + { + "epoch": 0.56, + "grad_norm": 1.5446717730699995, + "learning_rate": 8.395423710188561e-06, + "loss": 0.8818, + "step": 23972 + }, + { + "epoch": 0.56, + "grad_norm": 1.5924572234969907, + "learning_rate": 8.394670560729774e-06, + "loss": 0.8408, + "step": 23973 + }, + { + "epoch": 0.56, + "grad_norm": 0.7406159736593421, + "learning_rate": 8.393917420617726e-06, + "loss": 0.7283, + "step": 23974 + }, + { + "epoch": 0.56, + "grad_norm": 1.4354792192753203, + "learning_rate": 8.393164289856797e-06, + "loss": 0.8773, + "step": 23975 + }, + { + "epoch": 0.56, + "grad_norm": 1.6436613348468538, + "learning_rate": 8.392411168451371e-06, + "loss": 0.8975, + "step": 23976 + }, + { + "epoch": 0.56, + "grad_norm": 0.7853944631921453, + "learning_rate": 8.39165805640584e-06, + "loss": 0.6755, + "step": 23977 + }, + { + "epoch": 0.56, + "grad_norm": 0.7736155808490649, + "learning_rate": 8.390904953724586e-06, + "loss": 0.7387, + "step": 23978 + }, + { + "epoch": 0.56, + "grad_norm": 1.7805111549835124, + "learning_rate": 8.390151860411991e-06, + "loss": 0.8498, + "step": 23979 + }, + { + "epoch": 0.56, + "grad_norm": 1.6713645833572637, + "learning_rate": 8.389398776472439e-06, + "loss": 0.9181, + "step": 23980 + }, + { + "epoch": 0.56, + "grad_norm": 0.7834651796156831, + "learning_rate": 8.38864570191032e-06, + "loss": 0.779, + "step": 23981 + }, + { + "epoch": 0.56, + "grad_norm": 1.6225966550037552, + "learning_rate": 8.387892636730016e-06, + "loss": 0.9719, + "step": 23982 + }, + { + "epoch": 0.57, + "grad_norm": 1.6500553893139263, + "learning_rate": 8.387139580935912e-06, + "loss": 0.8093, + "step": 23983 + }, + { + "epoch": 0.57, + "grad_norm": 1.4674012163432804, + "learning_rate": 8.386386534532388e-06, + "loss": 0.8688, + "step": 23984 + }, + { + "epoch": 0.57, + "grad_norm": 1.4903800390353628, + "learning_rate": 8.385633497523838e-06, + "loss": 0.8225, + "step": 23985 + }, + { + "epoch": 0.57, + "grad_norm": 1.5455394275739467, + "learning_rate": 8.384880469914638e-06, + "loss": 0.7972, + "step": 23986 + }, + { + "epoch": 0.57, + "grad_norm": 1.7171313769228433, + "learning_rate": 8.384127451709173e-06, + "loss": 0.8349, + "step": 23987 + }, + { + "epoch": 0.57, + "grad_norm": 1.5630331388645746, + "learning_rate": 8.383374442911836e-06, + "loss": 0.786, + "step": 23988 + }, + { + "epoch": 0.57, + "grad_norm": 1.47359256732089, + "learning_rate": 8.382621443527e-06, + "loss": 0.9032, + "step": 23989 + }, + { + "epoch": 0.57, + "grad_norm": 1.564923857093584, + "learning_rate": 8.381868453559053e-06, + "loss": 0.8599, + "step": 23990 + }, + { + "epoch": 0.57, + "grad_norm": 1.6411743891846968, + "learning_rate": 8.381115473012381e-06, + "loss": 0.7671, + "step": 23991 + }, + { + "epoch": 0.57, + "grad_norm": 1.8707692947830494, + "learning_rate": 8.380362501891373e-06, + "loss": 1.079, + "step": 23992 + }, + { + "epoch": 0.57, + "grad_norm": 1.9321929973219398, + "learning_rate": 8.3796095402004e-06, + "loss": 0.9634, + "step": 23993 + }, + { + "epoch": 0.57, + "grad_norm": 1.7784755037034283, + "learning_rate": 8.378856587943856e-06, + "loss": 0.9721, + "step": 23994 + }, + { + "epoch": 0.57, + "grad_norm": 1.8130902072717425, + "learning_rate": 8.378103645126124e-06, + "loss": 0.8775, + "step": 23995 + }, + { + "epoch": 0.57, + "grad_norm": 1.7789310656749766, + "learning_rate": 8.377350711751583e-06, + "loss": 0.9293, + "step": 23996 + }, + { + "epoch": 0.57, + "grad_norm": 1.6088353237834498, + "learning_rate": 8.376597787824618e-06, + "loss": 0.8414, + "step": 23997 + }, + { + "epoch": 0.57, + "grad_norm": 2.0034696174337783, + "learning_rate": 8.37584487334962e-06, + "loss": 0.8806, + "step": 23998 + }, + { + "epoch": 0.57, + "grad_norm": 2.1487798441476125, + "learning_rate": 8.375091968330966e-06, + "loss": 0.9593, + "step": 23999 + }, + { + "epoch": 0.57, + "grad_norm": 1.6757109647852289, + "learning_rate": 8.374339072773036e-06, + "loss": 0.9534, + "step": 24000 + }, + { + "epoch": 0.57, + "grad_norm": 1.731682022099757, + "learning_rate": 8.373586186680224e-06, + "loss": 0.8419, + "step": 24001 + }, + { + "epoch": 0.57, + "grad_norm": 2.2636704511993857, + "learning_rate": 8.37283331005691e-06, + "loss": 0.7872, + "step": 24002 + }, + { + "epoch": 0.57, + "grad_norm": 0.7483101960955277, + "learning_rate": 8.372080442907471e-06, + "loss": 0.7746, + "step": 24003 + }, + { + "epoch": 0.57, + "grad_norm": 0.7479342764836341, + "learning_rate": 8.371327585236294e-06, + "loss": 0.6898, + "step": 24004 + }, + { + "epoch": 0.57, + "grad_norm": 1.6422350801461396, + "learning_rate": 8.370574737047765e-06, + "loss": 0.7711, + "step": 24005 + }, + { + "epoch": 0.57, + "grad_norm": 1.7541507540432335, + "learning_rate": 8.369821898346269e-06, + "loss": 0.9025, + "step": 24006 + }, + { + "epoch": 0.57, + "grad_norm": 1.59132987405706, + "learning_rate": 8.369069069136184e-06, + "loss": 0.8091, + "step": 24007 + }, + { + "epoch": 0.57, + "grad_norm": 1.6201595388848768, + "learning_rate": 8.368316249421894e-06, + "loss": 0.9094, + "step": 24008 + }, + { + "epoch": 0.57, + "grad_norm": 2.472655587333738, + "learning_rate": 8.367563439207784e-06, + "loss": 0.8253, + "step": 24009 + }, + { + "epoch": 0.57, + "grad_norm": 1.392547762748454, + "learning_rate": 8.366810638498237e-06, + "loss": 0.7858, + "step": 24010 + }, + { + "epoch": 0.57, + "grad_norm": 1.546579295821558, + "learning_rate": 8.366057847297635e-06, + "loss": 0.8944, + "step": 24011 + }, + { + "epoch": 0.57, + "grad_norm": 1.7800627353143745, + "learning_rate": 8.36530506561036e-06, + "loss": 0.8752, + "step": 24012 + }, + { + "epoch": 0.57, + "grad_norm": 1.4073207186398027, + "learning_rate": 8.3645522934408e-06, + "loss": 0.8715, + "step": 24013 + }, + { + "epoch": 0.57, + "grad_norm": 1.3913389503367695, + "learning_rate": 8.363799530793332e-06, + "loss": 0.7949, + "step": 24014 + }, + { + "epoch": 0.57, + "grad_norm": 1.7721912831937072, + "learning_rate": 8.363046777672342e-06, + "loss": 0.9351, + "step": 24015 + }, + { + "epoch": 0.57, + "grad_norm": 1.5783120364430772, + "learning_rate": 8.362294034082214e-06, + "loss": 0.8794, + "step": 24016 + }, + { + "epoch": 0.57, + "grad_norm": 1.3999242607905122, + "learning_rate": 8.361541300027323e-06, + "loss": 0.8963, + "step": 24017 + }, + { + "epoch": 0.57, + "grad_norm": 1.5582364659029404, + "learning_rate": 8.36078857551206e-06, + "loss": 0.9107, + "step": 24018 + }, + { + "epoch": 0.57, + "grad_norm": 1.9208453770275273, + "learning_rate": 8.360035860540806e-06, + "loss": 0.841, + "step": 24019 + }, + { + "epoch": 0.57, + "grad_norm": 1.733443844596743, + "learning_rate": 8.359283155117943e-06, + "loss": 0.8414, + "step": 24020 + }, + { + "epoch": 0.57, + "grad_norm": 1.5824275168057234, + "learning_rate": 8.35853045924785e-06, + "loss": 0.8294, + "step": 24021 + }, + { + "epoch": 0.57, + "grad_norm": 1.6472912980278753, + "learning_rate": 8.357777772934914e-06, + "loss": 0.8853, + "step": 24022 + }, + { + "epoch": 0.57, + "grad_norm": 2.1272097675684414, + "learning_rate": 8.357025096183518e-06, + "loss": 0.8929, + "step": 24023 + }, + { + "epoch": 0.57, + "grad_norm": 1.6431936110290266, + "learning_rate": 8.356272428998039e-06, + "loss": 0.8444, + "step": 24024 + }, + { + "epoch": 0.57, + "grad_norm": 1.5806985055035419, + "learning_rate": 8.355519771382861e-06, + "loss": 0.7736, + "step": 24025 + }, + { + "epoch": 0.57, + "grad_norm": 0.7281033802349793, + "learning_rate": 8.35476712334237e-06, + "loss": 0.7402, + "step": 24026 + }, + { + "epoch": 0.57, + "grad_norm": 1.7220251924360084, + "learning_rate": 8.354014484880946e-06, + "loss": 0.754, + "step": 24027 + }, + { + "epoch": 0.57, + "grad_norm": 1.8799974890509596, + "learning_rate": 8.35326185600297e-06, + "loss": 0.8957, + "step": 24028 + }, + { + "epoch": 0.57, + "grad_norm": 2.3559018699582457, + "learning_rate": 8.352509236712823e-06, + "loss": 0.7571, + "step": 24029 + }, + { + "epoch": 0.57, + "grad_norm": 1.902777097458223, + "learning_rate": 8.351756627014894e-06, + "loss": 0.7657, + "step": 24030 + }, + { + "epoch": 0.57, + "grad_norm": 1.588670926206474, + "learning_rate": 8.351004026913555e-06, + "loss": 0.9571, + "step": 24031 + }, + { + "epoch": 0.57, + "grad_norm": 1.5940935912456493, + "learning_rate": 8.350251436413194e-06, + "loss": 0.8651, + "step": 24032 + }, + { + "epoch": 0.57, + "grad_norm": 1.3828278738087574, + "learning_rate": 8.34949885551819e-06, + "loss": 0.8556, + "step": 24033 + }, + { + "epoch": 0.57, + "grad_norm": 1.678640506407953, + "learning_rate": 8.34874628423293e-06, + "loss": 0.8887, + "step": 24034 + }, + { + "epoch": 0.57, + "grad_norm": 0.798837593010554, + "learning_rate": 8.347993722561789e-06, + "loss": 0.7183, + "step": 24035 + }, + { + "epoch": 0.57, + "grad_norm": 0.8130607873177456, + "learning_rate": 8.34724117050915e-06, + "loss": 0.738, + "step": 24036 + }, + { + "epoch": 0.57, + "grad_norm": 1.7413242015121226, + "learning_rate": 8.346488628079397e-06, + "loss": 0.8738, + "step": 24037 + }, + { + "epoch": 0.57, + "grad_norm": 1.5139294880795209, + "learning_rate": 8.345736095276914e-06, + "loss": 0.9307, + "step": 24038 + }, + { + "epoch": 0.57, + "grad_norm": 1.5565508864427444, + "learning_rate": 8.344983572106077e-06, + "loss": 0.9243, + "step": 24039 + }, + { + "epoch": 0.57, + "grad_norm": 1.6241858407108514, + "learning_rate": 8.344231058571268e-06, + "loss": 0.9005, + "step": 24040 + }, + { + "epoch": 0.57, + "grad_norm": 1.6983318068368625, + "learning_rate": 8.343478554676876e-06, + "loss": 0.8043, + "step": 24041 + }, + { + "epoch": 0.57, + "grad_norm": 1.569181576448147, + "learning_rate": 8.342726060427271e-06, + "loss": 0.7921, + "step": 24042 + }, + { + "epoch": 0.57, + "grad_norm": 2.7543830099365296, + "learning_rate": 8.34197357582684e-06, + "loss": 0.9353, + "step": 24043 + }, + { + "epoch": 0.57, + "grad_norm": 1.5790993034749747, + "learning_rate": 8.341221100879962e-06, + "loss": 0.8542, + "step": 24044 + }, + { + "epoch": 0.57, + "grad_norm": 0.7870229419294853, + "learning_rate": 8.340468635591023e-06, + "loss": 0.7518, + "step": 24045 + }, + { + "epoch": 0.57, + "grad_norm": 1.6881642761944093, + "learning_rate": 8.3397161799644e-06, + "loss": 0.855, + "step": 24046 + }, + { + "epoch": 0.57, + "grad_norm": 1.657519335657696, + "learning_rate": 8.338963734004477e-06, + "loss": 0.8639, + "step": 24047 + }, + { + "epoch": 0.57, + "grad_norm": 1.9281082079206315, + "learning_rate": 8.338211297715633e-06, + "loss": 0.8888, + "step": 24048 + }, + { + "epoch": 0.57, + "grad_norm": 2.061272867441909, + "learning_rate": 8.337458871102245e-06, + "loss": 0.8155, + "step": 24049 + }, + { + "epoch": 0.57, + "grad_norm": 1.5036912537799345, + "learning_rate": 8.336706454168701e-06, + "loss": 0.9408, + "step": 24050 + }, + { + "epoch": 0.57, + "grad_norm": 1.489010640547188, + "learning_rate": 8.335954046919376e-06, + "loss": 0.8751, + "step": 24051 + }, + { + "epoch": 0.57, + "grad_norm": 1.9603541780203797, + "learning_rate": 8.335201649358658e-06, + "loss": 0.8238, + "step": 24052 + }, + { + "epoch": 0.57, + "grad_norm": 1.6198949091003054, + "learning_rate": 8.334449261490917e-06, + "loss": 0.8752, + "step": 24053 + }, + { + "epoch": 0.57, + "grad_norm": 1.4239497892344026, + "learning_rate": 8.333696883320544e-06, + "loss": 0.7159, + "step": 24054 + }, + { + "epoch": 0.57, + "grad_norm": 1.624831208664363, + "learning_rate": 8.332944514851916e-06, + "loss": 0.9623, + "step": 24055 + }, + { + "epoch": 0.57, + "grad_norm": 0.7777884502782906, + "learning_rate": 8.332192156089411e-06, + "loss": 0.7083, + "step": 24056 + }, + { + "epoch": 0.57, + "grad_norm": 1.6175145370904989, + "learning_rate": 8.33143980703741e-06, + "loss": 0.822, + "step": 24057 + }, + { + "epoch": 0.57, + "grad_norm": 1.702287258443282, + "learning_rate": 8.330687467700295e-06, + "loss": 0.8475, + "step": 24058 + }, + { + "epoch": 0.57, + "grad_norm": 1.957076356365862, + "learning_rate": 8.32993513808245e-06, + "loss": 0.8791, + "step": 24059 + }, + { + "epoch": 0.57, + "grad_norm": 1.5663009807768344, + "learning_rate": 8.329182818188247e-06, + "loss": 0.9206, + "step": 24060 + }, + { + "epoch": 0.57, + "grad_norm": 1.4951386455242495, + "learning_rate": 8.32843050802207e-06, + "loss": 0.9015, + "step": 24061 + }, + { + "epoch": 0.57, + "grad_norm": 1.5004777489190733, + "learning_rate": 8.327678207588304e-06, + "loss": 0.8649, + "step": 24062 + }, + { + "epoch": 0.57, + "grad_norm": 1.7616037790981336, + "learning_rate": 8.326925916891322e-06, + "loss": 0.812, + "step": 24063 + }, + { + "epoch": 0.57, + "grad_norm": 0.7888938027215338, + "learning_rate": 8.326173635935509e-06, + "loss": 0.6955, + "step": 24064 + }, + { + "epoch": 0.57, + "grad_norm": 1.4352907409862796, + "learning_rate": 8.325421364725237e-06, + "loss": 0.8605, + "step": 24065 + }, + { + "epoch": 0.57, + "grad_norm": 0.8086772535952732, + "learning_rate": 8.324669103264899e-06, + "loss": 0.7201, + "step": 24066 + }, + { + "epoch": 0.57, + "grad_norm": 0.7397903758233121, + "learning_rate": 8.323916851558867e-06, + "loss": 0.7468, + "step": 24067 + }, + { + "epoch": 0.57, + "grad_norm": 1.6611656542119764, + "learning_rate": 8.32316460961152e-06, + "loss": 0.8089, + "step": 24068 + }, + { + "epoch": 0.57, + "grad_norm": 1.9339979086826442, + "learning_rate": 8.322412377427242e-06, + "loss": 0.7975, + "step": 24069 + }, + { + "epoch": 0.57, + "grad_norm": 1.532086660858693, + "learning_rate": 8.321660155010407e-06, + "loss": 0.8381, + "step": 24070 + }, + { + "epoch": 0.57, + "grad_norm": 1.570400639822382, + "learning_rate": 8.320907942365397e-06, + "loss": 0.8977, + "step": 24071 + }, + { + "epoch": 0.57, + "grad_norm": 1.5059882668087676, + "learning_rate": 8.320155739496593e-06, + "loss": 0.7284, + "step": 24072 + }, + { + "epoch": 0.57, + "grad_norm": 1.42839781357529, + "learning_rate": 8.31940354640838e-06, + "loss": 0.8129, + "step": 24073 + }, + { + "epoch": 0.57, + "grad_norm": 1.6787026172222872, + "learning_rate": 8.318651363105125e-06, + "loss": 0.8211, + "step": 24074 + }, + { + "epoch": 0.57, + "grad_norm": 1.6020501176599617, + "learning_rate": 8.317899189591216e-06, + "loss": 1.028, + "step": 24075 + }, + { + "epoch": 0.57, + "grad_norm": 1.5081324542063828, + "learning_rate": 8.317147025871033e-06, + "loss": 1.0031, + "step": 24076 + }, + { + "epoch": 0.57, + "grad_norm": 0.80009566647381, + "learning_rate": 8.31639487194895e-06, + "loss": 0.7734, + "step": 24077 + }, + { + "epoch": 0.57, + "grad_norm": 1.6426630928380552, + "learning_rate": 8.315642727829347e-06, + "loss": 0.8694, + "step": 24078 + }, + { + "epoch": 0.57, + "grad_norm": 1.4892148556923908, + "learning_rate": 8.31489059351661e-06, + "loss": 0.9179, + "step": 24079 + }, + { + "epoch": 0.57, + "grad_norm": 1.791152073440371, + "learning_rate": 8.314138469015112e-06, + "loss": 0.7598, + "step": 24080 + }, + { + "epoch": 0.57, + "grad_norm": 1.5847222298230896, + "learning_rate": 8.313386354329234e-06, + "loss": 0.9206, + "step": 24081 + }, + { + "epoch": 0.57, + "grad_norm": 1.5899920536080991, + "learning_rate": 8.31263424946335e-06, + "loss": 0.8187, + "step": 24082 + }, + { + "epoch": 0.57, + "grad_norm": 1.7259344205196112, + "learning_rate": 8.31188215442185e-06, + "loss": 0.907, + "step": 24083 + }, + { + "epoch": 0.57, + "grad_norm": 1.5182047545195376, + "learning_rate": 8.311130069209103e-06, + "loss": 0.755, + "step": 24084 + }, + { + "epoch": 0.57, + "grad_norm": 2.160771314543529, + "learning_rate": 8.310377993829491e-06, + "loss": 0.8384, + "step": 24085 + }, + { + "epoch": 0.57, + "grad_norm": 1.6209033518707336, + "learning_rate": 8.309625928287394e-06, + "loss": 0.8283, + "step": 24086 + }, + { + "epoch": 0.57, + "grad_norm": 2.1351389317647866, + "learning_rate": 8.308873872587193e-06, + "loss": 0.9016, + "step": 24087 + }, + { + "epoch": 0.57, + "grad_norm": 1.6370840680098109, + "learning_rate": 8.30812182673326e-06, + "loss": 0.8751, + "step": 24088 + }, + { + "epoch": 0.57, + "grad_norm": 1.6999064269361701, + "learning_rate": 8.307369790729977e-06, + "loss": 0.9211, + "step": 24089 + }, + { + "epoch": 0.57, + "grad_norm": 1.6928601875261944, + "learning_rate": 8.306617764581728e-06, + "loss": 0.9496, + "step": 24090 + }, + { + "epoch": 0.57, + "grad_norm": 1.731827356328373, + "learning_rate": 8.305865748292882e-06, + "loss": 0.7783, + "step": 24091 + }, + { + "epoch": 0.57, + "grad_norm": 1.5495959853048662, + "learning_rate": 8.305113741867822e-06, + "loss": 0.8278, + "step": 24092 + }, + { + "epoch": 0.57, + "grad_norm": 1.64438970043263, + "learning_rate": 8.304361745310926e-06, + "loss": 0.6827, + "step": 24093 + }, + { + "epoch": 0.57, + "grad_norm": 1.5614055640646107, + "learning_rate": 8.303609758626574e-06, + "loss": 0.931, + "step": 24094 + }, + { + "epoch": 0.57, + "grad_norm": 2.4130817744339956, + "learning_rate": 8.302857781819144e-06, + "loss": 0.7626, + "step": 24095 + }, + { + "epoch": 0.57, + "grad_norm": 1.5680230318070598, + "learning_rate": 8.302105814893014e-06, + "loss": 0.8423, + "step": 24096 + }, + { + "epoch": 0.57, + "grad_norm": 0.7328101949058836, + "learning_rate": 8.301353857852561e-06, + "loss": 0.7272, + "step": 24097 + }, + { + "epoch": 0.57, + "grad_norm": 2.0476321356721385, + "learning_rate": 8.30060191070216e-06, + "loss": 0.8364, + "step": 24098 + }, + { + "epoch": 0.57, + "grad_norm": 1.5759661187447451, + "learning_rate": 8.299849973446196e-06, + "loss": 0.7994, + "step": 24099 + }, + { + "epoch": 0.57, + "grad_norm": 1.7552029826789308, + "learning_rate": 8.299098046089042e-06, + "loss": 0.8663, + "step": 24100 + }, + { + "epoch": 0.57, + "grad_norm": 1.7006487711210314, + "learning_rate": 8.298346128635081e-06, + "loss": 0.801, + "step": 24101 + }, + { + "epoch": 0.57, + "grad_norm": 1.6867392033492628, + "learning_rate": 8.297594221088683e-06, + "loss": 0.8996, + "step": 24102 + }, + { + "epoch": 0.57, + "grad_norm": 1.806707839392089, + "learning_rate": 8.296842323454234e-06, + "loss": 0.9509, + "step": 24103 + }, + { + "epoch": 0.57, + "grad_norm": 0.7894579196224387, + "learning_rate": 8.296090435736107e-06, + "loss": 0.6945, + "step": 24104 + }, + { + "epoch": 0.57, + "grad_norm": 1.5739685218124393, + "learning_rate": 8.295338557938682e-06, + "loss": 0.8927, + "step": 24105 + }, + { + "epoch": 0.57, + "grad_norm": 1.6355016291467077, + "learning_rate": 8.294586690066331e-06, + "loss": 0.7428, + "step": 24106 + }, + { + "epoch": 0.57, + "grad_norm": 1.7959309977248683, + "learning_rate": 8.29383483212344e-06, + "loss": 0.8151, + "step": 24107 + }, + { + "epoch": 0.57, + "grad_norm": 1.8191001452179032, + "learning_rate": 8.293082984114384e-06, + "loss": 0.8007, + "step": 24108 + }, + { + "epoch": 0.57, + "grad_norm": 1.5798953398235749, + "learning_rate": 8.292331146043537e-06, + "loss": 0.8314, + "step": 24109 + }, + { + "epoch": 0.57, + "grad_norm": 1.3800669328843502, + "learning_rate": 8.291579317915278e-06, + "loss": 0.591, + "step": 24110 + }, + { + "epoch": 0.57, + "grad_norm": 1.49381477984584, + "learning_rate": 8.290827499733988e-06, + "loss": 0.8772, + "step": 24111 + }, + { + "epoch": 0.57, + "grad_norm": 1.7962676654709973, + "learning_rate": 8.290075691504041e-06, + "loss": 0.8968, + "step": 24112 + }, + { + "epoch": 0.57, + "grad_norm": 1.5911463783820285, + "learning_rate": 8.289323893229812e-06, + "loss": 0.8198, + "step": 24113 + }, + { + "epoch": 0.57, + "grad_norm": 1.7793050129291623, + "learning_rate": 8.28857210491568e-06, + "loss": 1.0017, + "step": 24114 + }, + { + "epoch": 0.57, + "grad_norm": 1.895871336156866, + "learning_rate": 8.287820326566028e-06, + "loss": 0.8602, + "step": 24115 + }, + { + "epoch": 0.57, + "grad_norm": 1.3867748601317367, + "learning_rate": 8.287068558185225e-06, + "loss": 0.9247, + "step": 24116 + }, + { + "epoch": 0.57, + "grad_norm": 1.4725245067157298, + "learning_rate": 8.286316799777651e-06, + "loss": 0.8555, + "step": 24117 + }, + { + "epoch": 0.57, + "grad_norm": 0.7662187821846989, + "learning_rate": 8.285565051347688e-06, + "loss": 0.7305, + "step": 24118 + }, + { + "epoch": 0.57, + "grad_norm": 1.8180187255466271, + "learning_rate": 8.284813312899701e-06, + "loss": 0.8933, + "step": 24119 + }, + { + "epoch": 0.57, + "grad_norm": 0.7267921707877203, + "learning_rate": 8.284061584438077e-06, + "loss": 0.721, + "step": 24120 + }, + { + "epoch": 0.57, + "grad_norm": 2.450848797222273, + "learning_rate": 8.283309865967187e-06, + "loss": 0.7492, + "step": 24121 + }, + { + "epoch": 0.57, + "grad_norm": 1.5911337185618688, + "learning_rate": 8.282558157491417e-06, + "loss": 0.7984, + "step": 24122 + }, + { + "epoch": 0.57, + "grad_norm": 1.7409733011329915, + "learning_rate": 8.281806459015132e-06, + "loss": 0.9016, + "step": 24123 + }, + { + "epoch": 0.57, + "grad_norm": 0.7409329481657655, + "learning_rate": 8.281054770542713e-06, + "loss": 0.7134, + "step": 24124 + }, + { + "epoch": 0.57, + "grad_norm": 1.5173457509479962, + "learning_rate": 8.280303092078542e-06, + "loss": 0.9185, + "step": 24125 + }, + { + "epoch": 0.57, + "grad_norm": 1.7211745455098664, + "learning_rate": 8.279551423626988e-06, + "loss": 0.9213, + "step": 24126 + }, + { + "epoch": 0.57, + "grad_norm": 2.515229013443092, + "learning_rate": 8.278799765192427e-06, + "loss": 0.954, + "step": 24127 + }, + { + "epoch": 0.57, + "grad_norm": 1.5077740023778952, + "learning_rate": 8.278048116779242e-06, + "loss": 0.8619, + "step": 24128 + }, + { + "epoch": 0.57, + "grad_norm": 1.6891338707906645, + "learning_rate": 8.27729647839181e-06, + "loss": 0.8685, + "step": 24129 + }, + { + "epoch": 0.57, + "grad_norm": 1.9145526347240143, + "learning_rate": 8.276544850034498e-06, + "loss": 0.8017, + "step": 24130 + }, + { + "epoch": 0.57, + "grad_norm": 1.5459423015285017, + "learning_rate": 8.275793231711687e-06, + "loss": 0.9337, + "step": 24131 + }, + { + "epoch": 0.57, + "grad_norm": 0.7617240759238479, + "learning_rate": 8.275041623427757e-06, + "loss": 0.7673, + "step": 24132 + }, + { + "epoch": 0.57, + "grad_norm": 1.5759635370517922, + "learning_rate": 8.27429002518708e-06, + "loss": 0.8893, + "step": 24133 + }, + { + "epoch": 0.57, + "grad_norm": 1.6832016672058703, + "learning_rate": 8.27353843699403e-06, + "loss": 0.9983, + "step": 24134 + }, + { + "epoch": 0.57, + "grad_norm": 1.6904454118965844, + "learning_rate": 8.272786858852989e-06, + "loss": 0.8551, + "step": 24135 + }, + { + "epoch": 0.57, + "grad_norm": 1.4993808796043981, + "learning_rate": 8.27203529076833e-06, + "loss": 0.9562, + "step": 24136 + }, + { + "epoch": 0.57, + "grad_norm": 1.4706950929553477, + "learning_rate": 8.271283732744427e-06, + "loss": 0.866, + "step": 24137 + }, + { + "epoch": 0.57, + "grad_norm": 1.5652192851390108, + "learning_rate": 8.270532184785656e-06, + "loss": 0.864, + "step": 24138 + }, + { + "epoch": 0.57, + "grad_norm": 1.8883039779003292, + "learning_rate": 8.2697806468964e-06, + "loss": 0.7374, + "step": 24139 + }, + { + "epoch": 0.57, + "grad_norm": 1.7380060615497883, + "learning_rate": 8.269029119081022e-06, + "loss": 0.9648, + "step": 24140 + }, + { + "epoch": 0.57, + "grad_norm": 1.6163858696102493, + "learning_rate": 8.268277601343908e-06, + "loss": 0.9647, + "step": 24141 + }, + { + "epoch": 0.57, + "grad_norm": 1.5090521068303908, + "learning_rate": 8.267526093689426e-06, + "loss": 0.791, + "step": 24142 + }, + { + "epoch": 0.57, + "grad_norm": 1.573581404584281, + "learning_rate": 8.266774596121962e-06, + "loss": 0.8694, + "step": 24143 + }, + { + "epoch": 0.57, + "grad_norm": 1.9739643860934921, + "learning_rate": 8.26602310864588e-06, + "loss": 0.7816, + "step": 24144 + }, + { + "epoch": 0.57, + "grad_norm": 0.8044681483387077, + "learning_rate": 8.265271631265564e-06, + "loss": 0.7268, + "step": 24145 + }, + { + "epoch": 0.57, + "grad_norm": 0.7756703565860634, + "learning_rate": 8.264520163985385e-06, + "loss": 0.7105, + "step": 24146 + }, + { + "epoch": 0.57, + "grad_norm": 1.488832042679129, + "learning_rate": 8.263768706809715e-06, + "loss": 0.7467, + "step": 24147 + }, + { + "epoch": 0.57, + "grad_norm": 1.934659783080685, + "learning_rate": 8.263017259742938e-06, + "loss": 0.8645, + "step": 24148 + }, + { + "epoch": 0.57, + "grad_norm": 1.5088275197175656, + "learning_rate": 8.262265822789422e-06, + "loss": 0.7898, + "step": 24149 + }, + { + "epoch": 0.57, + "grad_norm": 1.5901049422208318, + "learning_rate": 8.261514395953548e-06, + "loss": 0.8979, + "step": 24150 + }, + { + "epoch": 0.57, + "grad_norm": 1.575963607135288, + "learning_rate": 8.260762979239683e-06, + "loss": 0.9366, + "step": 24151 + }, + { + "epoch": 0.57, + "grad_norm": 1.634336349324208, + "learning_rate": 8.260011572652208e-06, + "loss": 0.8206, + "step": 24152 + }, + { + "epoch": 0.57, + "grad_norm": 0.7735507308282752, + "learning_rate": 8.259260176195499e-06, + "loss": 0.7136, + "step": 24153 + }, + { + "epoch": 0.57, + "grad_norm": 1.6642146107123819, + "learning_rate": 8.258508789873926e-06, + "loss": 0.9122, + "step": 24154 + }, + { + "epoch": 0.57, + "grad_norm": 1.5074778752837015, + "learning_rate": 8.257757413691865e-06, + "loss": 0.7567, + "step": 24155 + }, + { + "epoch": 0.57, + "grad_norm": 1.9025005887360498, + "learning_rate": 8.257006047653693e-06, + "loss": 0.8868, + "step": 24156 + }, + { + "epoch": 0.57, + "grad_norm": 1.7050614132402202, + "learning_rate": 8.256254691763787e-06, + "loss": 0.8965, + "step": 24157 + }, + { + "epoch": 0.57, + "grad_norm": 1.9341587843180008, + "learning_rate": 8.255503346026514e-06, + "loss": 0.9551, + "step": 24158 + }, + { + "epoch": 0.57, + "grad_norm": 1.8497211202786308, + "learning_rate": 8.254752010446252e-06, + "loss": 0.8343, + "step": 24159 + }, + { + "epoch": 0.57, + "grad_norm": 1.600989505002579, + "learning_rate": 8.254000685027379e-06, + "loss": 0.9062, + "step": 24160 + }, + { + "epoch": 0.57, + "grad_norm": 1.5788990513225694, + "learning_rate": 8.253249369774268e-06, + "loss": 0.8612, + "step": 24161 + }, + { + "epoch": 0.57, + "grad_norm": 1.5998716731360332, + "learning_rate": 8.252498064691291e-06, + "loss": 0.7725, + "step": 24162 + }, + { + "epoch": 0.57, + "grad_norm": 1.526247284882419, + "learning_rate": 8.251746769782821e-06, + "loss": 0.8232, + "step": 24163 + }, + { + "epoch": 0.57, + "grad_norm": 2.1346365522158646, + "learning_rate": 8.250995485053238e-06, + "loss": 0.8173, + "step": 24164 + }, + { + "epoch": 0.57, + "grad_norm": 2.0633688261397114, + "learning_rate": 8.250244210506913e-06, + "loss": 0.9772, + "step": 24165 + }, + { + "epoch": 0.57, + "grad_norm": 1.7191737082485579, + "learning_rate": 8.249492946148217e-06, + "loss": 0.9252, + "step": 24166 + }, + { + "epoch": 0.57, + "grad_norm": 1.6872480851726908, + "learning_rate": 8.248741691981528e-06, + "loss": 0.9137, + "step": 24167 + }, + { + "epoch": 0.57, + "grad_norm": 1.2901015858962643, + "learning_rate": 8.247990448011222e-06, + "loss": 0.7778, + "step": 24168 + }, + { + "epoch": 0.57, + "grad_norm": 1.6851748000087488, + "learning_rate": 8.24723921424167e-06, + "loss": 0.9231, + "step": 24169 + }, + { + "epoch": 0.57, + "grad_norm": 1.5559394693891897, + "learning_rate": 8.246487990677242e-06, + "loss": 0.8514, + "step": 24170 + }, + { + "epoch": 0.57, + "grad_norm": 2.0074510165153363, + "learning_rate": 8.245736777322324e-06, + "loss": 0.8073, + "step": 24171 + }, + { + "epoch": 0.57, + "grad_norm": 1.469363119410042, + "learning_rate": 8.244985574181274e-06, + "loss": 0.9883, + "step": 24172 + }, + { + "epoch": 0.57, + "grad_norm": 1.509784075647699, + "learning_rate": 8.244234381258477e-06, + "loss": 0.7715, + "step": 24173 + }, + { + "epoch": 0.57, + "grad_norm": 2.327986863750292, + "learning_rate": 8.243483198558299e-06, + "loss": 0.8268, + "step": 24174 + }, + { + "epoch": 0.57, + "grad_norm": 1.7160269305690714, + "learning_rate": 8.242732026085127e-06, + "loss": 0.8125, + "step": 24175 + }, + { + "epoch": 0.57, + "grad_norm": 1.525044867006575, + "learning_rate": 8.24198086384332e-06, + "loss": 0.7739, + "step": 24176 + }, + { + "epoch": 0.57, + "grad_norm": 1.4647392160548693, + "learning_rate": 8.241229711837256e-06, + "loss": 0.8206, + "step": 24177 + }, + { + "epoch": 0.57, + "grad_norm": 1.867328244673453, + "learning_rate": 8.240478570071312e-06, + "loss": 0.7779, + "step": 24178 + }, + { + "epoch": 0.57, + "grad_norm": 1.5449935135066661, + "learning_rate": 8.239727438549859e-06, + "loss": 0.76, + "step": 24179 + }, + { + "epoch": 0.57, + "grad_norm": 1.5761926688885686, + "learning_rate": 8.238976317277266e-06, + "loss": 0.7344, + "step": 24180 + }, + { + "epoch": 0.57, + "grad_norm": 1.6588732764400431, + "learning_rate": 8.238225206257913e-06, + "loss": 0.8208, + "step": 24181 + }, + { + "epoch": 0.57, + "grad_norm": 1.7610448917019492, + "learning_rate": 8.237474105496172e-06, + "loss": 1.0103, + "step": 24182 + }, + { + "epoch": 0.57, + "grad_norm": 1.6008183128321067, + "learning_rate": 8.23672301499641e-06, + "loss": 0.7883, + "step": 24183 + }, + { + "epoch": 0.57, + "grad_norm": 1.4779593765289991, + "learning_rate": 8.23597193476301e-06, + "loss": 0.8305, + "step": 24184 + }, + { + "epoch": 0.57, + "grad_norm": 1.6288629850473935, + "learning_rate": 8.23522086480034e-06, + "loss": 0.8435, + "step": 24185 + }, + { + "epoch": 0.57, + "grad_norm": 1.5867354240740517, + "learning_rate": 8.23446980511277e-06, + "loss": 1.0144, + "step": 24186 + }, + { + "epoch": 0.57, + "grad_norm": 1.68594863970948, + "learning_rate": 8.233718755704676e-06, + "loss": 0.8867, + "step": 24187 + }, + { + "epoch": 0.57, + "grad_norm": 2.1047430983886843, + "learning_rate": 8.232967716580431e-06, + "loss": 0.8812, + "step": 24188 + }, + { + "epoch": 0.57, + "grad_norm": 1.8854995340346117, + "learning_rate": 8.23221668774441e-06, + "loss": 0.8289, + "step": 24189 + }, + { + "epoch": 0.57, + "grad_norm": 1.7968483626649767, + "learning_rate": 8.23146566920098e-06, + "loss": 0.9053, + "step": 24190 + }, + { + "epoch": 0.57, + "grad_norm": 1.5181187654872377, + "learning_rate": 8.230714660954516e-06, + "loss": 0.8244, + "step": 24191 + }, + { + "epoch": 0.57, + "grad_norm": 1.6097653545473367, + "learning_rate": 8.229963663009394e-06, + "loss": 0.8798, + "step": 24192 + }, + { + "epoch": 0.57, + "grad_norm": 1.559166231858763, + "learning_rate": 8.229212675369984e-06, + "loss": 0.809, + "step": 24193 + }, + { + "epoch": 0.57, + "grad_norm": 2.1162248929449934, + "learning_rate": 8.228461698040657e-06, + "loss": 0.8073, + "step": 24194 + }, + { + "epoch": 0.57, + "grad_norm": 1.5144271030566003, + "learning_rate": 8.227710731025785e-06, + "loss": 0.8936, + "step": 24195 + }, + { + "epoch": 0.57, + "grad_norm": 1.5560088953345357, + "learning_rate": 8.226959774329747e-06, + "loss": 0.8499, + "step": 24196 + }, + { + "epoch": 0.57, + "grad_norm": 1.6305125473759816, + "learning_rate": 8.226208827956908e-06, + "loss": 0.7767, + "step": 24197 + }, + { + "epoch": 0.57, + "grad_norm": 0.7599545194167772, + "learning_rate": 8.225457891911643e-06, + "loss": 0.7495, + "step": 24198 + }, + { + "epoch": 0.57, + "grad_norm": 1.5379172257392761, + "learning_rate": 8.224706966198325e-06, + "loss": 0.7817, + "step": 24199 + }, + { + "epoch": 0.57, + "grad_norm": 1.761687940043448, + "learning_rate": 8.223956050821322e-06, + "loss": 0.8626, + "step": 24200 + }, + { + "epoch": 0.57, + "grad_norm": 1.573671205526512, + "learning_rate": 8.223205145785012e-06, + "loss": 0.8612, + "step": 24201 + }, + { + "epoch": 0.57, + "grad_norm": 1.5340136878357171, + "learning_rate": 8.222454251093763e-06, + "loss": 0.8822, + "step": 24202 + }, + { + "epoch": 0.57, + "grad_norm": 1.5186948382308074, + "learning_rate": 8.22170336675195e-06, + "loss": 0.9215, + "step": 24203 + }, + { + "epoch": 0.57, + "grad_norm": 1.7673080019273402, + "learning_rate": 8.220952492763938e-06, + "loss": 0.8011, + "step": 24204 + }, + { + "epoch": 0.57, + "grad_norm": 1.872040368901797, + "learning_rate": 8.220201629134109e-06, + "loss": 0.8404, + "step": 24205 + }, + { + "epoch": 0.57, + "grad_norm": 1.7588030732754858, + "learning_rate": 8.219450775866828e-06, + "loss": 0.8459, + "step": 24206 + }, + { + "epoch": 0.57, + "grad_norm": 1.6883940123409824, + "learning_rate": 8.218699932966468e-06, + "loss": 0.8326, + "step": 24207 + }, + { + "epoch": 0.57, + "grad_norm": 1.57598552895212, + "learning_rate": 8.2179491004374e-06, + "loss": 0.8005, + "step": 24208 + }, + { + "epoch": 0.57, + "grad_norm": 1.7519453150796804, + "learning_rate": 8.217198278283997e-06, + "loss": 0.7323, + "step": 24209 + }, + { + "epoch": 0.57, + "grad_norm": 2.1128723456034058, + "learning_rate": 8.216447466510633e-06, + "loss": 0.8823, + "step": 24210 + }, + { + "epoch": 0.57, + "grad_norm": 1.7776419191017736, + "learning_rate": 8.215696665121674e-06, + "loss": 0.7369, + "step": 24211 + }, + { + "epoch": 0.57, + "grad_norm": 1.5058957439273752, + "learning_rate": 8.214945874121491e-06, + "loss": 0.8425, + "step": 24212 + }, + { + "epoch": 0.57, + "grad_norm": 1.572524190160496, + "learning_rate": 8.214195093514463e-06, + "loss": 0.8119, + "step": 24213 + }, + { + "epoch": 0.57, + "grad_norm": 1.5762557205514285, + "learning_rate": 8.213444323304955e-06, + "loss": 0.813, + "step": 24214 + }, + { + "epoch": 0.57, + "grad_norm": 1.6146977810024115, + "learning_rate": 8.21269356349734e-06, + "loss": 0.843, + "step": 24215 + }, + { + "epoch": 0.57, + "grad_norm": 1.593434710186875, + "learning_rate": 8.211942814095986e-06, + "loss": 0.7617, + "step": 24216 + }, + { + "epoch": 0.57, + "grad_norm": 2.271129707029268, + "learning_rate": 8.211192075105271e-06, + "loss": 0.8625, + "step": 24217 + }, + { + "epoch": 0.57, + "grad_norm": 1.5134340958570038, + "learning_rate": 8.21044134652956e-06, + "loss": 0.7833, + "step": 24218 + }, + { + "epoch": 0.57, + "grad_norm": 1.557662275350856, + "learning_rate": 8.209690628373225e-06, + "loss": 0.7277, + "step": 24219 + }, + { + "epoch": 0.57, + "grad_norm": 1.8744344251011487, + "learning_rate": 8.208939920640644e-06, + "loss": 0.899, + "step": 24220 + }, + { + "epoch": 0.57, + "grad_norm": 1.742455885658203, + "learning_rate": 8.208189223336175e-06, + "loss": 0.8409, + "step": 24221 + }, + { + "epoch": 0.57, + "grad_norm": 1.6276862865553314, + "learning_rate": 8.207438536464197e-06, + "loss": 0.8257, + "step": 24222 + }, + { + "epoch": 0.57, + "grad_norm": 1.4399997854008206, + "learning_rate": 8.206687860029079e-06, + "loss": 0.7704, + "step": 24223 + }, + { + "epoch": 0.57, + "grad_norm": 1.617632195688384, + "learning_rate": 8.205937194035197e-06, + "loss": 0.8392, + "step": 24224 + }, + { + "epoch": 0.57, + "grad_norm": 1.651244838759274, + "learning_rate": 8.205186538486911e-06, + "loss": 0.782, + "step": 24225 + }, + { + "epoch": 0.57, + "grad_norm": 0.7616334810313758, + "learning_rate": 8.204435893388599e-06, + "loss": 0.696, + "step": 24226 + }, + { + "epoch": 0.57, + "grad_norm": 1.9454977012922179, + "learning_rate": 8.203685258744633e-06, + "loss": 0.9771, + "step": 24227 + }, + { + "epoch": 0.57, + "grad_norm": 2.520088558200056, + "learning_rate": 8.202934634559375e-06, + "loss": 0.7465, + "step": 24228 + }, + { + "epoch": 0.57, + "grad_norm": 1.79983783753231, + "learning_rate": 8.202184020837202e-06, + "loss": 0.8066, + "step": 24229 + }, + { + "epoch": 0.57, + "grad_norm": 2.3417448593155057, + "learning_rate": 8.201433417582482e-06, + "loss": 0.9334, + "step": 24230 + }, + { + "epoch": 0.57, + "grad_norm": 1.5612460470275409, + "learning_rate": 8.200682824799591e-06, + "loss": 0.8087, + "step": 24231 + }, + { + "epoch": 0.57, + "grad_norm": 1.7949703803807608, + "learning_rate": 8.199932242492887e-06, + "loss": 0.7257, + "step": 24232 + }, + { + "epoch": 0.57, + "grad_norm": 1.6157593049453525, + "learning_rate": 8.199181670666751e-06, + "loss": 0.7539, + "step": 24233 + }, + { + "epoch": 0.57, + "grad_norm": 1.5774353925169604, + "learning_rate": 8.198431109325552e-06, + "loss": 0.8985, + "step": 24234 + }, + { + "epoch": 0.57, + "grad_norm": 1.8679016043764929, + "learning_rate": 8.197680558473655e-06, + "loss": 0.83, + "step": 24235 + }, + { + "epoch": 0.57, + "grad_norm": 1.4780405879136183, + "learning_rate": 8.196930018115429e-06, + "loss": 0.8667, + "step": 24236 + }, + { + "epoch": 0.57, + "grad_norm": 1.5344518903610727, + "learning_rate": 8.196179488255251e-06, + "loss": 0.9371, + "step": 24237 + }, + { + "epoch": 0.57, + "grad_norm": 1.591393487118158, + "learning_rate": 8.19542896889749e-06, + "loss": 0.7009, + "step": 24238 + }, + { + "epoch": 0.57, + "grad_norm": 1.7686278116389844, + "learning_rate": 8.194678460046509e-06, + "loss": 0.8809, + "step": 24239 + }, + { + "epoch": 0.57, + "grad_norm": 1.8010259723377982, + "learning_rate": 8.19392796170668e-06, + "loss": 0.8691, + "step": 24240 + }, + { + "epoch": 0.57, + "grad_norm": 1.6210202314972755, + "learning_rate": 8.19317747388238e-06, + "loss": 0.9015, + "step": 24241 + }, + { + "epoch": 0.57, + "grad_norm": 1.7371780663034566, + "learning_rate": 8.192426996577967e-06, + "loss": 0.8159, + "step": 24242 + }, + { + "epoch": 0.57, + "grad_norm": 1.509737585033754, + "learning_rate": 8.191676529797818e-06, + "loss": 0.8832, + "step": 24243 + }, + { + "epoch": 0.57, + "grad_norm": 1.6635203612765295, + "learning_rate": 8.1909260735463e-06, + "loss": 0.8571, + "step": 24244 + }, + { + "epoch": 0.57, + "grad_norm": 1.4757157504695648, + "learning_rate": 8.190175627827785e-06, + "loss": 0.8053, + "step": 24245 + }, + { + "epoch": 0.57, + "grad_norm": 1.4860261932825227, + "learning_rate": 8.18942519264664e-06, + "loss": 0.9881, + "step": 24246 + }, + { + "epoch": 0.57, + "grad_norm": 1.6534910313154736, + "learning_rate": 8.188674768007234e-06, + "loss": 0.833, + "step": 24247 + }, + { + "epoch": 0.57, + "grad_norm": 1.680992433294381, + "learning_rate": 8.18792435391394e-06, + "loss": 0.6661, + "step": 24248 + }, + { + "epoch": 0.57, + "grad_norm": 1.4547961823561002, + "learning_rate": 8.18717395037112e-06, + "loss": 0.8822, + "step": 24249 + }, + { + "epoch": 0.57, + "grad_norm": 2.186266123536559, + "learning_rate": 8.18642355738315e-06, + "loss": 0.9679, + "step": 24250 + }, + { + "epoch": 0.57, + "grad_norm": 1.5104361576622511, + "learning_rate": 8.185673174954394e-06, + "loss": 0.8598, + "step": 24251 + }, + { + "epoch": 0.57, + "grad_norm": 1.8138258967605105, + "learning_rate": 8.184922803089226e-06, + "loss": 0.9643, + "step": 24252 + }, + { + "epoch": 0.57, + "grad_norm": 0.7753551484271936, + "learning_rate": 8.184172441792008e-06, + "loss": 0.7386, + "step": 24253 + }, + { + "epoch": 0.57, + "grad_norm": 1.7380987063138842, + "learning_rate": 8.183422091067115e-06, + "loss": 0.9241, + "step": 24254 + }, + { + "epoch": 0.57, + "grad_norm": 1.5469629573981545, + "learning_rate": 8.182671750918915e-06, + "loss": 0.8738, + "step": 24255 + }, + { + "epoch": 0.57, + "grad_norm": 1.5945280499238714, + "learning_rate": 8.181921421351775e-06, + "loss": 0.7933, + "step": 24256 + }, + { + "epoch": 0.57, + "grad_norm": 1.7471576055527545, + "learning_rate": 8.181171102370062e-06, + "loss": 0.8446, + "step": 24257 + }, + { + "epoch": 0.57, + "grad_norm": 1.4959691945486855, + "learning_rate": 8.180420793978148e-06, + "loss": 0.9185, + "step": 24258 + }, + { + "epoch": 0.57, + "grad_norm": 1.5677734332407223, + "learning_rate": 8.179670496180401e-06, + "loss": 0.7692, + "step": 24259 + }, + { + "epoch": 0.57, + "grad_norm": 2.3647148670851856, + "learning_rate": 8.178920208981189e-06, + "loss": 0.922, + "step": 24260 + }, + { + "epoch": 0.57, + "grad_norm": 1.4385323968058747, + "learning_rate": 8.178169932384877e-06, + "loss": 0.8215, + "step": 24261 + }, + { + "epoch": 0.57, + "grad_norm": 2.2708919614714866, + "learning_rate": 8.177419666395839e-06, + "loss": 0.9011, + "step": 24262 + }, + { + "epoch": 0.57, + "grad_norm": 1.6080428083633855, + "learning_rate": 8.176669411018441e-06, + "loss": 0.7771, + "step": 24263 + }, + { + "epoch": 0.57, + "grad_norm": 0.8040819029684125, + "learning_rate": 8.17591916625705e-06, + "loss": 0.71, + "step": 24264 + }, + { + "epoch": 0.57, + "grad_norm": 1.6834322550169933, + "learning_rate": 8.175168932116033e-06, + "loss": 0.9175, + "step": 24265 + }, + { + "epoch": 0.57, + "grad_norm": 1.6066296107586244, + "learning_rate": 8.174418708599764e-06, + "loss": 0.7692, + "step": 24266 + }, + { + "epoch": 0.57, + "grad_norm": 1.5080626035672464, + "learning_rate": 8.173668495712605e-06, + "loss": 0.9301, + "step": 24267 + }, + { + "epoch": 0.57, + "grad_norm": 1.909423605070551, + "learning_rate": 8.172918293458925e-06, + "loss": 0.7886, + "step": 24268 + }, + { + "epoch": 0.57, + "grad_norm": 1.9685632332913339, + "learning_rate": 8.1721681018431e-06, + "loss": 0.8119, + "step": 24269 + }, + { + "epoch": 0.57, + "grad_norm": 1.5966521910026357, + "learning_rate": 8.171417920869483e-06, + "loss": 0.8546, + "step": 24270 + }, + { + "epoch": 0.57, + "grad_norm": 1.5664732734317497, + "learning_rate": 8.170667750542453e-06, + "loss": 0.6915, + "step": 24271 + }, + { + "epoch": 0.57, + "grad_norm": 1.4823668615424872, + "learning_rate": 8.169917590866372e-06, + "loss": 0.8615, + "step": 24272 + }, + { + "epoch": 0.57, + "grad_norm": 2.0553432358511916, + "learning_rate": 8.169167441845617e-06, + "loss": 0.8402, + "step": 24273 + }, + { + "epoch": 0.57, + "grad_norm": 1.5281558951930825, + "learning_rate": 8.168417303484542e-06, + "loss": 0.8514, + "step": 24274 + }, + { + "epoch": 0.57, + "grad_norm": 1.6176000538183124, + "learning_rate": 8.167667175787524e-06, + "loss": 0.8855, + "step": 24275 + }, + { + "epoch": 0.57, + "grad_norm": 1.5676862551252762, + "learning_rate": 8.16691705875893e-06, + "loss": 0.8425, + "step": 24276 + }, + { + "epoch": 0.57, + "grad_norm": 1.541116969960667, + "learning_rate": 8.16616695240312e-06, + "loss": 0.8263, + "step": 24277 + }, + { + "epoch": 0.57, + "grad_norm": 1.7060244665174105, + "learning_rate": 8.165416856724468e-06, + "loss": 0.8651, + "step": 24278 + }, + { + "epoch": 0.57, + "grad_norm": 1.7837938018715715, + "learning_rate": 8.164666771727343e-06, + "loss": 0.8577, + "step": 24279 + }, + { + "epoch": 0.57, + "grad_norm": 1.6694491838569354, + "learning_rate": 8.163916697416109e-06, + "loss": 0.8969, + "step": 24280 + }, + { + "epoch": 0.57, + "grad_norm": 1.574815546314811, + "learning_rate": 8.163166633795129e-06, + "loss": 0.8678, + "step": 24281 + }, + { + "epoch": 0.57, + "grad_norm": 1.6854896820434837, + "learning_rate": 8.162416580868777e-06, + "loss": 0.7846, + "step": 24282 + }, + { + "epoch": 0.57, + "grad_norm": 1.5461934315800947, + "learning_rate": 8.161666538641418e-06, + "loss": 0.8556, + "step": 24283 + }, + { + "epoch": 0.57, + "grad_norm": 1.3879276712549964, + "learning_rate": 8.160916507117418e-06, + "loss": 0.8435, + "step": 24284 + }, + { + "epoch": 0.57, + "grad_norm": 1.4876222264261274, + "learning_rate": 8.160166486301141e-06, + "loss": 0.8376, + "step": 24285 + }, + { + "epoch": 0.57, + "grad_norm": 1.6773920783981124, + "learning_rate": 8.159416476196962e-06, + "loss": 0.8046, + "step": 24286 + }, + { + "epoch": 0.57, + "grad_norm": 1.535068189194927, + "learning_rate": 8.158666476809243e-06, + "loss": 0.7815, + "step": 24287 + }, + { + "epoch": 0.57, + "grad_norm": 1.9034552560114208, + "learning_rate": 8.157916488142349e-06, + "loss": 0.8337, + "step": 24288 + }, + { + "epoch": 0.57, + "grad_norm": 2.2316090164690214, + "learning_rate": 8.157166510200647e-06, + "loss": 0.9289, + "step": 24289 + }, + { + "epoch": 0.57, + "grad_norm": 1.6853264853331709, + "learning_rate": 8.156416542988505e-06, + "loss": 0.861, + "step": 24290 + }, + { + "epoch": 0.57, + "grad_norm": 1.726493479762524, + "learning_rate": 8.155666586510293e-06, + "loss": 0.7782, + "step": 24291 + }, + { + "epoch": 0.57, + "grad_norm": 1.7110734147949165, + "learning_rate": 8.154916640770373e-06, + "loss": 0.9022, + "step": 24292 + }, + { + "epoch": 0.57, + "grad_norm": 1.6977292299020141, + "learning_rate": 8.15416670577311e-06, + "loss": 0.9213, + "step": 24293 + }, + { + "epoch": 0.57, + "grad_norm": 1.4442007847576221, + "learning_rate": 8.153416781522876e-06, + "loss": 0.7915, + "step": 24294 + }, + { + "epoch": 0.57, + "grad_norm": 1.64309763281781, + "learning_rate": 8.152666868024032e-06, + "loss": 0.84, + "step": 24295 + }, + { + "epoch": 0.57, + "grad_norm": 1.3656165061616703, + "learning_rate": 8.151916965280947e-06, + "loss": 0.8947, + "step": 24296 + }, + { + "epoch": 0.57, + "grad_norm": 1.5902858540542364, + "learning_rate": 8.151167073297983e-06, + "loss": 0.8575, + "step": 24297 + }, + { + "epoch": 0.57, + "grad_norm": 1.6259488919985208, + "learning_rate": 8.150417192079516e-06, + "loss": 0.9066, + "step": 24298 + }, + { + "epoch": 0.57, + "grad_norm": 1.5529479374384132, + "learning_rate": 8.149667321629902e-06, + "loss": 0.9452, + "step": 24299 + }, + { + "epoch": 0.57, + "grad_norm": 1.6586827012468963, + "learning_rate": 8.148917461953511e-06, + "loss": 0.8895, + "step": 24300 + }, + { + "epoch": 0.57, + "grad_norm": 1.5658129942406718, + "learning_rate": 8.148167613054711e-06, + "loss": 0.8008, + "step": 24301 + }, + { + "epoch": 0.57, + "grad_norm": 1.5883552609865452, + "learning_rate": 8.14741777493786e-06, + "loss": 0.8727, + "step": 24302 + }, + { + "epoch": 0.57, + "grad_norm": 1.59325711188701, + "learning_rate": 8.146667947607335e-06, + "loss": 1.0053, + "step": 24303 + }, + { + "epoch": 0.57, + "grad_norm": 1.6002211133872475, + "learning_rate": 8.14591813106749e-06, + "loss": 0.8712, + "step": 24304 + }, + { + "epoch": 0.57, + "grad_norm": 1.471876971820935, + "learning_rate": 8.145168325322704e-06, + "loss": 0.9206, + "step": 24305 + }, + { + "epoch": 0.57, + "grad_norm": 1.6184752090835386, + "learning_rate": 8.144418530377329e-06, + "loss": 0.7898, + "step": 24306 + }, + { + "epoch": 0.57, + "grad_norm": 1.609230672726084, + "learning_rate": 8.14366874623574e-06, + "loss": 0.8883, + "step": 24307 + }, + { + "epoch": 0.57, + "grad_norm": 1.6841582666993467, + "learning_rate": 8.142918972902301e-06, + "loss": 0.8347, + "step": 24308 + }, + { + "epoch": 0.57, + "grad_norm": 1.6072877797777658, + "learning_rate": 8.142169210381373e-06, + "loss": 0.8164, + "step": 24309 + }, + { + "epoch": 0.57, + "grad_norm": 1.4710275935957633, + "learning_rate": 8.141419458677321e-06, + "loss": 0.8651, + "step": 24310 + }, + { + "epoch": 0.57, + "grad_norm": 1.5875839284574473, + "learning_rate": 8.140669717794515e-06, + "loss": 0.8863, + "step": 24311 + }, + { + "epoch": 0.57, + "grad_norm": 1.870062810123447, + "learning_rate": 8.139919987737324e-06, + "loss": 0.9343, + "step": 24312 + }, + { + "epoch": 0.57, + "grad_norm": 1.5683710068626755, + "learning_rate": 8.139170268510104e-06, + "loss": 0.8875, + "step": 24313 + }, + { + "epoch": 0.57, + "grad_norm": 1.571200430894107, + "learning_rate": 8.13842056011722e-06, + "loss": 1.0255, + "step": 24314 + }, + { + "epoch": 0.57, + "grad_norm": 1.69604600266894, + "learning_rate": 8.137670862563047e-06, + "loss": 0.8448, + "step": 24315 + }, + { + "epoch": 0.57, + "grad_norm": 1.621736563205837, + "learning_rate": 8.136921175851942e-06, + "loss": 0.7351, + "step": 24316 + }, + { + "epoch": 0.57, + "grad_norm": 1.6513825710840282, + "learning_rate": 8.136171499988267e-06, + "loss": 0.7947, + "step": 24317 + }, + { + "epoch": 0.57, + "grad_norm": 1.7397396232129736, + "learning_rate": 8.135421834976396e-06, + "loss": 0.7438, + "step": 24318 + }, + { + "epoch": 0.57, + "grad_norm": 1.9031876684294788, + "learning_rate": 8.134672180820692e-06, + "loss": 0.8501, + "step": 24319 + }, + { + "epoch": 0.57, + "grad_norm": 2.0108733501760225, + "learning_rate": 8.133922537525515e-06, + "loss": 0.8921, + "step": 24320 + }, + { + "epoch": 0.57, + "grad_norm": 1.7638974176238191, + "learning_rate": 8.133172905095227e-06, + "loss": 0.7477, + "step": 24321 + }, + { + "epoch": 0.57, + "grad_norm": 2.0143614362945077, + "learning_rate": 8.132423283534206e-06, + "loss": 0.9253, + "step": 24322 + }, + { + "epoch": 0.57, + "grad_norm": 1.4305046367430976, + "learning_rate": 8.1316736728468e-06, + "loss": 0.9892, + "step": 24323 + }, + { + "epoch": 0.57, + "grad_norm": 1.6604521677179427, + "learning_rate": 8.130924073037385e-06, + "loss": 0.7868, + "step": 24324 + }, + { + "epoch": 0.57, + "grad_norm": 1.6064431200258895, + "learning_rate": 8.13017448411032e-06, + "loss": 0.9552, + "step": 24325 + }, + { + "epoch": 0.57, + "grad_norm": 1.6463586573582643, + "learning_rate": 8.129424906069974e-06, + "loss": 0.8691, + "step": 24326 + }, + { + "epoch": 0.57, + "grad_norm": 1.5232047877178756, + "learning_rate": 8.128675338920707e-06, + "loss": 0.8746, + "step": 24327 + }, + { + "epoch": 0.57, + "grad_norm": 1.7355433989885947, + "learning_rate": 8.127925782666884e-06, + "loss": 0.9193, + "step": 24328 + }, + { + "epoch": 0.57, + "grad_norm": 1.672314255354309, + "learning_rate": 8.127176237312872e-06, + "loss": 0.9229, + "step": 24329 + }, + { + "epoch": 0.57, + "grad_norm": 1.757719812101903, + "learning_rate": 8.126426702863029e-06, + "loss": 0.7729, + "step": 24330 + }, + { + "epoch": 0.57, + "grad_norm": 2.0501525000779837, + "learning_rate": 8.125677179321725e-06, + "loss": 0.919, + "step": 24331 + }, + { + "epoch": 0.57, + "grad_norm": 1.6708469501727703, + "learning_rate": 8.124927666693324e-06, + "loss": 0.8425, + "step": 24332 + }, + { + "epoch": 0.57, + "grad_norm": 1.7448859901002876, + "learning_rate": 8.124178164982186e-06, + "loss": 0.7896, + "step": 24333 + }, + { + "epoch": 0.57, + "grad_norm": 2.1033022678904376, + "learning_rate": 8.123428674192675e-06, + "loss": 0.7891, + "step": 24334 + }, + { + "epoch": 0.57, + "grad_norm": 1.6148040717169856, + "learning_rate": 8.122679194329157e-06, + "loss": 0.8431, + "step": 24335 + }, + { + "epoch": 0.57, + "grad_norm": 1.513535451509474, + "learning_rate": 8.121929725396e-06, + "loss": 0.9537, + "step": 24336 + }, + { + "epoch": 0.57, + "grad_norm": 2.132180528661629, + "learning_rate": 8.121180267397556e-06, + "loss": 0.7559, + "step": 24337 + }, + { + "epoch": 0.57, + "grad_norm": 1.935214730323073, + "learning_rate": 8.120430820338195e-06, + "loss": 0.8609, + "step": 24338 + }, + { + "epoch": 0.57, + "grad_norm": 1.474491770918599, + "learning_rate": 8.119681384222284e-06, + "loss": 0.8946, + "step": 24339 + }, + { + "epoch": 0.57, + "grad_norm": 1.8603966763488031, + "learning_rate": 8.118931959054185e-06, + "loss": 0.7512, + "step": 24340 + }, + { + "epoch": 0.57, + "grad_norm": 1.436824537159386, + "learning_rate": 8.118182544838258e-06, + "loss": 0.9203, + "step": 24341 + }, + { + "epoch": 0.57, + "grad_norm": 1.674264028627007, + "learning_rate": 8.117433141578865e-06, + "loss": 0.6982, + "step": 24342 + }, + { + "epoch": 0.57, + "grad_norm": 0.7629593373377758, + "learning_rate": 8.116683749280376e-06, + "loss": 0.7046, + "step": 24343 + }, + { + "epoch": 0.57, + "grad_norm": 1.6129131498291804, + "learning_rate": 8.115934367947151e-06, + "loss": 0.8639, + "step": 24344 + }, + { + "epoch": 0.57, + "grad_norm": 0.7750286988820211, + "learning_rate": 8.11518499758355e-06, + "loss": 0.727, + "step": 24345 + }, + { + "epoch": 0.57, + "grad_norm": 0.7446561616458979, + "learning_rate": 8.114435638193937e-06, + "loss": 0.6952, + "step": 24346 + }, + { + "epoch": 0.57, + "grad_norm": 1.9477893706608918, + "learning_rate": 8.113686289782682e-06, + "loss": 0.9165, + "step": 24347 + }, + { + "epoch": 0.57, + "grad_norm": 1.6198632379599962, + "learning_rate": 8.112936952354139e-06, + "loss": 0.8332, + "step": 24348 + }, + { + "epoch": 0.57, + "grad_norm": 1.7904555363978798, + "learning_rate": 8.112187625912675e-06, + "loss": 0.7343, + "step": 24349 + }, + { + "epoch": 0.57, + "grad_norm": 1.6519851971206856, + "learning_rate": 8.111438310462656e-06, + "loss": 0.8409, + "step": 24350 + }, + { + "epoch": 0.57, + "grad_norm": 1.6190063947370383, + "learning_rate": 8.110689006008435e-06, + "loss": 0.9687, + "step": 24351 + }, + { + "epoch": 0.57, + "grad_norm": 1.5473220745188665, + "learning_rate": 8.109939712554383e-06, + "loss": 0.8146, + "step": 24352 + }, + { + "epoch": 0.57, + "grad_norm": 1.6877911500062113, + "learning_rate": 8.109190430104858e-06, + "loss": 0.8856, + "step": 24353 + }, + { + "epoch": 0.57, + "grad_norm": 0.7469239409229924, + "learning_rate": 8.108441158664234e-06, + "loss": 0.7002, + "step": 24354 + }, + { + "epoch": 0.57, + "grad_norm": 1.568718210008863, + "learning_rate": 8.107691898236855e-06, + "loss": 0.9281, + "step": 24355 + }, + { + "epoch": 0.57, + "grad_norm": 1.7641712604465438, + "learning_rate": 8.106942648827097e-06, + "loss": 0.8574, + "step": 24356 + }, + { + "epoch": 0.57, + "grad_norm": 1.5901892063979488, + "learning_rate": 8.106193410439318e-06, + "loss": 0.7924, + "step": 24357 + }, + { + "epoch": 0.57, + "grad_norm": 2.323990504355945, + "learning_rate": 8.10544418307788e-06, + "loss": 0.8696, + "step": 24358 + }, + { + "epoch": 0.57, + "grad_norm": 1.5169842043350787, + "learning_rate": 8.104694966747143e-06, + "loss": 0.7739, + "step": 24359 + }, + { + "epoch": 0.57, + "grad_norm": 1.76115289414948, + "learning_rate": 8.103945761451474e-06, + "loss": 0.7533, + "step": 24360 + }, + { + "epoch": 0.57, + "grad_norm": 1.8495581940744463, + "learning_rate": 8.103196567195237e-06, + "loss": 0.9538, + "step": 24361 + }, + { + "epoch": 0.57, + "grad_norm": 1.770367331913125, + "learning_rate": 8.102447383982785e-06, + "loss": 0.9428, + "step": 24362 + }, + { + "epoch": 0.57, + "grad_norm": 1.5053275661280217, + "learning_rate": 8.101698211818485e-06, + "loss": 0.7786, + "step": 24363 + }, + { + "epoch": 0.57, + "grad_norm": 1.5400889768959767, + "learning_rate": 8.100949050706704e-06, + "loss": 0.8192, + "step": 24364 + }, + { + "epoch": 0.57, + "grad_norm": 1.6519700447424988, + "learning_rate": 8.100199900651794e-06, + "loss": 0.8548, + "step": 24365 + }, + { + "epoch": 0.57, + "grad_norm": 1.5177310541062943, + "learning_rate": 8.099450761658122e-06, + "loss": 0.803, + "step": 24366 + }, + { + "epoch": 0.57, + "grad_norm": 2.2300188667704486, + "learning_rate": 8.098701633730051e-06, + "loss": 0.9388, + "step": 24367 + }, + { + "epoch": 0.57, + "grad_norm": 1.7340553993270154, + "learning_rate": 8.097952516871944e-06, + "loss": 0.8956, + "step": 24368 + }, + { + "epoch": 0.57, + "grad_norm": 1.407018091684441, + "learning_rate": 8.097203411088155e-06, + "loss": 0.8744, + "step": 24369 + }, + { + "epoch": 0.57, + "grad_norm": 1.9796812529464634, + "learning_rate": 8.096454316383049e-06, + "loss": 0.8764, + "step": 24370 + }, + { + "epoch": 0.57, + "grad_norm": 3.4071751142744544, + "learning_rate": 8.095705232760994e-06, + "loss": 0.9235, + "step": 24371 + }, + { + "epoch": 0.57, + "grad_norm": 1.477143361267971, + "learning_rate": 8.094956160226342e-06, + "loss": 0.8146, + "step": 24372 + }, + { + "epoch": 0.57, + "grad_norm": 1.428936203298, + "learning_rate": 8.09420709878346e-06, + "loss": 0.7879, + "step": 24373 + }, + { + "epoch": 0.57, + "grad_norm": 1.9448737542629333, + "learning_rate": 8.093458048436705e-06, + "loss": 0.8178, + "step": 24374 + }, + { + "epoch": 0.57, + "grad_norm": 1.6374788493116108, + "learning_rate": 8.092709009190446e-06, + "loss": 0.9583, + "step": 24375 + }, + { + "epoch": 0.57, + "grad_norm": 1.3534675179071576, + "learning_rate": 8.091959981049034e-06, + "loss": 0.7466, + "step": 24376 + }, + { + "epoch": 0.57, + "grad_norm": 1.712954370675592, + "learning_rate": 8.091210964016837e-06, + "loss": 0.8818, + "step": 24377 + }, + { + "epoch": 0.57, + "grad_norm": 1.3995512724663506, + "learning_rate": 8.090461958098216e-06, + "loss": 0.7677, + "step": 24378 + }, + { + "epoch": 0.57, + "grad_norm": 1.584676276217695, + "learning_rate": 8.089712963297527e-06, + "loss": 0.8866, + "step": 24379 + }, + { + "epoch": 0.57, + "grad_norm": 0.7761983037369989, + "learning_rate": 8.088963979619135e-06, + "loss": 0.7421, + "step": 24380 + }, + { + "epoch": 0.57, + "grad_norm": 1.7417674083872237, + "learning_rate": 8.0882150070674e-06, + "loss": 0.7921, + "step": 24381 + }, + { + "epoch": 0.57, + "grad_norm": 1.523674452771141, + "learning_rate": 8.087466045646684e-06, + "loss": 0.82, + "step": 24382 + }, + { + "epoch": 0.57, + "grad_norm": 0.7726946453396588, + "learning_rate": 8.086717095361342e-06, + "loss": 0.6806, + "step": 24383 + }, + { + "epoch": 0.57, + "grad_norm": 1.4524057366348504, + "learning_rate": 8.085968156215741e-06, + "loss": 0.8732, + "step": 24384 + }, + { + "epoch": 0.57, + "grad_norm": 1.675425945725925, + "learning_rate": 8.085219228214241e-06, + "loss": 0.7999, + "step": 24385 + }, + { + "epoch": 0.57, + "grad_norm": 0.7788791799396872, + "learning_rate": 8.0844703113612e-06, + "loss": 0.6951, + "step": 24386 + }, + { + "epoch": 0.57, + "grad_norm": 1.6232318648843573, + "learning_rate": 8.083721405660978e-06, + "loss": 0.8826, + "step": 24387 + }, + { + "epoch": 0.57, + "grad_norm": 1.7815797255296568, + "learning_rate": 8.082972511117936e-06, + "loss": 0.8648, + "step": 24388 + }, + { + "epoch": 0.57, + "grad_norm": 1.6519148822891336, + "learning_rate": 8.082223627736439e-06, + "loss": 0.7438, + "step": 24389 + }, + { + "epoch": 0.57, + "grad_norm": 0.8054100863077904, + "learning_rate": 8.08147475552084e-06, + "loss": 0.724, + "step": 24390 + }, + { + "epoch": 0.57, + "grad_norm": 1.4886281413020759, + "learning_rate": 8.0807258944755e-06, + "loss": 0.9208, + "step": 24391 + }, + { + "epoch": 0.57, + "grad_norm": 1.7812241200569006, + "learning_rate": 8.079977044604788e-06, + "loss": 0.8579, + "step": 24392 + }, + { + "epoch": 0.57, + "grad_norm": 2.6456950448779954, + "learning_rate": 8.079228205913053e-06, + "loss": 0.7497, + "step": 24393 + }, + { + "epoch": 0.57, + "grad_norm": 1.5173344336299583, + "learning_rate": 8.07847937840466e-06, + "loss": 0.8141, + "step": 24394 + }, + { + "epoch": 0.57, + "grad_norm": 1.692375208436697, + "learning_rate": 8.077730562083967e-06, + "loss": 0.8412, + "step": 24395 + }, + { + "epoch": 0.57, + "grad_norm": 2.1545351693368544, + "learning_rate": 8.07698175695534e-06, + "loss": 0.8807, + "step": 24396 + }, + { + "epoch": 0.57, + "grad_norm": 1.6132939728715494, + "learning_rate": 8.07623296302313e-06, + "loss": 0.7705, + "step": 24397 + }, + { + "epoch": 0.57, + "grad_norm": 1.4727375361008181, + "learning_rate": 8.075484180291702e-06, + "loss": 0.8675, + "step": 24398 + }, + { + "epoch": 0.57, + "grad_norm": 1.5116977131296856, + "learning_rate": 8.074735408765417e-06, + "loss": 0.7807, + "step": 24399 + }, + { + "epoch": 0.57, + "grad_norm": 1.7237248573770554, + "learning_rate": 8.073986648448627e-06, + "loss": 0.8265, + "step": 24400 + }, + { + "epoch": 0.57, + "grad_norm": 0.7876179737258443, + "learning_rate": 8.073237899345699e-06, + "loss": 0.7056, + "step": 24401 + }, + { + "epoch": 0.57, + "grad_norm": 1.5603863544198684, + "learning_rate": 8.072489161460986e-06, + "loss": 0.8558, + "step": 24402 + }, + { + "epoch": 0.57, + "grad_norm": 1.5067700818903704, + "learning_rate": 8.07174043479886e-06, + "loss": 1.0259, + "step": 24403 + }, + { + "epoch": 0.57, + "grad_norm": 1.6680238197171413, + "learning_rate": 8.070991719363664e-06, + "loss": 0.9386, + "step": 24404 + }, + { + "epoch": 0.57, + "grad_norm": 1.65535140013937, + "learning_rate": 8.070243015159767e-06, + "loss": 0.8975, + "step": 24405 + }, + { + "epoch": 0.57, + "grad_norm": 1.4229725536392412, + "learning_rate": 8.069494322191526e-06, + "loss": 0.7729, + "step": 24406 + }, + { + "epoch": 0.58, + "grad_norm": 1.5569120803705254, + "learning_rate": 8.068745640463305e-06, + "loss": 0.843, + "step": 24407 + }, + { + "epoch": 0.58, + "grad_norm": 1.5298998761835614, + "learning_rate": 8.067996969979451e-06, + "loss": 0.8261, + "step": 24408 + }, + { + "epoch": 0.58, + "grad_norm": 1.4643178109893147, + "learning_rate": 8.067248310744334e-06, + "loss": 0.9123, + "step": 24409 + }, + { + "epoch": 0.58, + "grad_norm": 1.7318550901834369, + "learning_rate": 8.066499662762312e-06, + "loss": 0.8958, + "step": 24410 + }, + { + "epoch": 0.58, + "grad_norm": 1.8124400775544387, + "learning_rate": 8.065751026037738e-06, + "loss": 0.9482, + "step": 24411 + }, + { + "epoch": 0.58, + "grad_norm": 0.7641073283507285, + "learning_rate": 8.065002400574971e-06, + "loss": 0.7478, + "step": 24412 + }, + { + "epoch": 0.58, + "grad_norm": 1.377205823942053, + "learning_rate": 8.064253786378375e-06, + "loss": 0.899, + "step": 24413 + }, + { + "epoch": 0.58, + "grad_norm": 1.4735539178935626, + "learning_rate": 8.063505183452309e-06, + "loss": 0.8798, + "step": 24414 + }, + { + "epoch": 0.58, + "grad_norm": 0.7625310392137447, + "learning_rate": 8.062756591801124e-06, + "loss": 0.6961, + "step": 24415 + }, + { + "epoch": 0.58, + "grad_norm": 0.8504353233641938, + "learning_rate": 8.062008011429187e-06, + "loss": 0.7381, + "step": 24416 + }, + { + "epoch": 0.58, + "grad_norm": 0.7667373204827712, + "learning_rate": 8.061259442340852e-06, + "loss": 0.7027, + "step": 24417 + }, + { + "epoch": 0.58, + "grad_norm": 1.564910473402532, + "learning_rate": 8.06051088454048e-06, + "loss": 0.8552, + "step": 24418 + }, + { + "epoch": 0.58, + "grad_norm": 1.7560398816537655, + "learning_rate": 8.059762338032423e-06, + "loss": 0.8934, + "step": 24419 + }, + { + "epoch": 0.58, + "grad_norm": 1.44186400767697, + "learning_rate": 8.059013802821047e-06, + "loss": 0.8464, + "step": 24420 + }, + { + "epoch": 0.58, + "grad_norm": 3.53394976893052, + "learning_rate": 8.05826527891071e-06, + "loss": 0.9724, + "step": 24421 + }, + { + "epoch": 0.58, + "grad_norm": 1.6652323968572675, + "learning_rate": 8.057516766305765e-06, + "loss": 0.8101, + "step": 24422 + }, + { + "epoch": 0.58, + "grad_norm": 1.6550539253591092, + "learning_rate": 8.056768265010568e-06, + "loss": 0.8578, + "step": 24423 + }, + { + "epoch": 0.58, + "grad_norm": 1.7942037879483064, + "learning_rate": 8.056019775029488e-06, + "loss": 0.7702, + "step": 24424 + }, + { + "epoch": 0.58, + "grad_norm": 1.6682654270570703, + "learning_rate": 8.055271296366874e-06, + "loss": 0.8807, + "step": 24425 + }, + { + "epoch": 0.58, + "grad_norm": 1.674472921705052, + "learning_rate": 8.054522829027084e-06, + "loss": 0.9005, + "step": 24426 + }, + { + "epoch": 0.58, + "grad_norm": 2.825270689160014, + "learning_rate": 8.053774373014478e-06, + "loss": 0.9443, + "step": 24427 + }, + { + "epoch": 0.58, + "grad_norm": 1.6365061921514144, + "learning_rate": 8.053025928333418e-06, + "loss": 0.7929, + "step": 24428 + }, + { + "epoch": 0.58, + "grad_norm": 1.7786135957843339, + "learning_rate": 8.052277494988254e-06, + "loss": 0.7724, + "step": 24429 + }, + { + "epoch": 0.58, + "grad_norm": 1.6853972320189692, + "learning_rate": 8.051529072983349e-06, + "loss": 0.8459, + "step": 24430 + }, + { + "epoch": 0.58, + "grad_norm": 1.3884653236763622, + "learning_rate": 8.050780662323059e-06, + "loss": 0.8586, + "step": 24431 + }, + { + "epoch": 0.58, + "grad_norm": 1.573204004452894, + "learning_rate": 8.050032263011738e-06, + "loss": 0.8112, + "step": 24432 + }, + { + "epoch": 0.58, + "grad_norm": 1.6583773400494255, + "learning_rate": 8.049283875053747e-06, + "loss": 0.9499, + "step": 24433 + }, + { + "epoch": 0.58, + "grad_norm": 4.123087935908738, + "learning_rate": 8.048535498453445e-06, + "loss": 0.8013, + "step": 24434 + }, + { + "epoch": 0.58, + "grad_norm": 1.3961168342169408, + "learning_rate": 8.047787133215188e-06, + "loss": 0.8213, + "step": 24435 + }, + { + "epoch": 0.58, + "grad_norm": 1.6612609709281176, + "learning_rate": 8.047038779343327e-06, + "loss": 0.787, + "step": 24436 + }, + { + "epoch": 0.58, + "grad_norm": 1.7021332008534236, + "learning_rate": 8.046290436842229e-06, + "loss": 0.7956, + "step": 24437 + }, + { + "epoch": 0.58, + "grad_norm": 1.8684659066954197, + "learning_rate": 8.045542105716247e-06, + "loss": 0.8813, + "step": 24438 + }, + { + "epoch": 0.58, + "grad_norm": 1.5750459933671561, + "learning_rate": 8.044793785969736e-06, + "loss": 0.9384, + "step": 24439 + }, + { + "epoch": 0.58, + "grad_norm": 1.548528901430367, + "learning_rate": 8.044045477607053e-06, + "loss": 0.8977, + "step": 24440 + }, + { + "epoch": 0.58, + "grad_norm": 1.6837623329516715, + "learning_rate": 8.04329718063256e-06, + "loss": 0.7882, + "step": 24441 + }, + { + "epoch": 0.58, + "grad_norm": 1.64274497689376, + "learning_rate": 8.042548895050609e-06, + "loss": 0.8295, + "step": 24442 + }, + { + "epoch": 0.58, + "grad_norm": 2.559007479958853, + "learning_rate": 8.041800620865558e-06, + "loss": 0.8724, + "step": 24443 + }, + { + "epoch": 0.58, + "grad_norm": 1.7390837582950536, + "learning_rate": 8.041052358081761e-06, + "loss": 0.8837, + "step": 24444 + }, + { + "epoch": 0.58, + "grad_norm": 1.6179064569615236, + "learning_rate": 8.040304106703582e-06, + "loss": 0.7726, + "step": 24445 + }, + { + "epoch": 0.58, + "grad_norm": 2.1562922670264086, + "learning_rate": 8.039555866735371e-06, + "loss": 0.7761, + "step": 24446 + }, + { + "epoch": 0.58, + "grad_norm": 2.333451854174602, + "learning_rate": 8.038807638181486e-06, + "loss": 0.923, + "step": 24447 + }, + { + "epoch": 0.58, + "grad_norm": 1.3733156734795988, + "learning_rate": 8.038059421046281e-06, + "loss": 0.9127, + "step": 24448 + }, + { + "epoch": 0.58, + "grad_norm": 1.531808779040094, + "learning_rate": 8.037311215334122e-06, + "loss": 0.79, + "step": 24449 + }, + { + "epoch": 0.58, + "grad_norm": 1.56730104477116, + "learning_rate": 8.036563021049354e-06, + "loss": 0.8624, + "step": 24450 + }, + { + "epoch": 0.58, + "grad_norm": 1.8608368205048689, + "learning_rate": 8.035814838196335e-06, + "loss": 0.8037, + "step": 24451 + }, + { + "epoch": 0.58, + "grad_norm": 1.552284020627727, + "learning_rate": 8.035066666779432e-06, + "loss": 0.9809, + "step": 24452 + }, + { + "epoch": 0.58, + "grad_norm": 1.6600792177820085, + "learning_rate": 8.034318506802987e-06, + "loss": 0.9202, + "step": 24453 + }, + { + "epoch": 0.58, + "grad_norm": 1.8586683869997074, + "learning_rate": 8.033570358271362e-06, + "loss": 0.9057, + "step": 24454 + }, + { + "epoch": 0.58, + "grad_norm": 1.4629163823753664, + "learning_rate": 8.032822221188913e-06, + "loss": 0.9169, + "step": 24455 + }, + { + "epoch": 0.58, + "grad_norm": 1.6625391016814584, + "learning_rate": 8.03207409556e-06, + "loss": 0.8057, + "step": 24456 + }, + { + "epoch": 0.58, + "grad_norm": 1.7011312035479178, + "learning_rate": 8.03132598138897e-06, + "loss": 0.7558, + "step": 24457 + }, + { + "epoch": 0.58, + "grad_norm": 1.9307707374558536, + "learning_rate": 8.030577878680185e-06, + "loss": 0.7125, + "step": 24458 + }, + { + "epoch": 0.58, + "grad_norm": 1.651095671485328, + "learning_rate": 8.029829787438001e-06, + "loss": 0.7855, + "step": 24459 + }, + { + "epoch": 0.58, + "grad_norm": 1.682915882274788, + "learning_rate": 8.02908170766677e-06, + "loss": 0.9991, + "step": 24460 + }, + { + "epoch": 0.58, + "grad_norm": 1.586924683315242, + "learning_rate": 8.028333639370846e-06, + "loss": 0.9349, + "step": 24461 + }, + { + "epoch": 0.58, + "grad_norm": 2.4170966571208274, + "learning_rate": 8.027585582554592e-06, + "loss": 0.8494, + "step": 24462 + }, + { + "epoch": 0.58, + "grad_norm": 1.8602322148258639, + "learning_rate": 8.02683753722236e-06, + "loss": 0.8448, + "step": 24463 + }, + { + "epoch": 0.58, + "grad_norm": 2.023210885697124, + "learning_rate": 8.0260895033785e-06, + "loss": 0.8482, + "step": 24464 + }, + { + "epoch": 0.58, + "grad_norm": 1.9186963023536399, + "learning_rate": 8.025341481027374e-06, + "loss": 0.8959, + "step": 24465 + }, + { + "epoch": 0.58, + "grad_norm": 1.4694966624142392, + "learning_rate": 8.024593470173337e-06, + "loss": 0.7851, + "step": 24466 + }, + { + "epoch": 0.58, + "grad_norm": 1.4550771109806278, + "learning_rate": 8.023845470820742e-06, + "loss": 0.9404, + "step": 24467 + }, + { + "epoch": 0.58, + "grad_norm": 1.563150484723514, + "learning_rate": 8.02309748297394e-06, + "loss": 0.7991, + "step": 24468 + }, + { + "epoch": 0.58, + "grad_norm": 1.392149076335609, + "learning_rate": 8.022349506637294e-06, + "loss": 0.8676, + "step": 24469 + }, + { + "epoch": 0.58, + "grad_norm": 1.592805060867067, + "learning_rate": 8.021601541815156e-06, + "loss": 0.8082, + "step": 24470 + }, + { + "epoch": 0.58, + "grad_norm": 1.6355693388113821, + "learning_rate": 8.02085358851188e-06, + "loss": 0.9655, + "step": 24471 + }, + { + "epoch": 0.58, + "grad_norm": 1.8689236321897522, + "learning_rate": 8.020105646731815e-06, + "loss": 0.8702, + "step": 24472 + }, + { + "epoch": 0.58, + "grad_norm": 1.5868945086448234, + "learning_rate": 8.01935771647933e-06, + "loss": 0.7416, + "step": 24473 + }, + { + "epoch": 0.58, + "grad_norm": 1.52969514583215, + "learning_rate": 8.018609797758768e-06, + "loss": 0.7544, + "step": 24474 + }, + { + "epoch": 0.58, + "grad_norm": 1.6905786464766592, + "learning_rate": 8.017861890574488e-06, + "loss": 0.9207, + "step": 24475 + }, + { + "epoch": 0.58, + "grad_norm": 1.5466019801986597, + "learning_rate": 8.01711399493084e-06, + "loss": 0.9224, + "step": 24476 + }, + { + "epoch": 0.58, + "grad_norm": 1.851775604851119, + "learning_rate": 8.016366110832186e-06, + "loss": 1.0983, + "step": 24477 + }, + { + "epoch": 0.58, + "grad_norm": 2.3689224064485996, + "learning_rate": 8.015618238282876e-06, + "loss": 0.9898, + "step": 24478 + }, + { + "epoch": 0.58, + "grad_norm": 1.5350237456776683, + "learning_rate": 8.014870377287263e-06, + "loss": 0.868, + "step": 24479 + }, + { + "epoch": 0.58, + "grad_norm": 0.7624306466639134, + "learning_rate": 8.014122527849706e-06, + "loss": 0.7116, + "step": 24480 + }, + { + "epoch": 0.58, + "grad_norm": 2.0979189769536832, + "learning_rate": 8.013374689974554e-06, + "loss": 0.7882, + "step": 24481 + }, + { + "epoch": 0.58, + "grad_norm": 1.572346509976468, + "learning_rate": 8.012626863666163e-06, + "loss": 0.9202, + "step": 24482 + }, + { + "epoch": 0.58, + "grad_norm": 1.5822551392448374, + "learning_rate": 8.011879048928888e-06, + "loss": 0.8718, + "step": 24483 + }, + { + "epoch": 0.58, + "grad_norm": 2.200711436864692, + "learning_rate": 8.011131245767086e-06, + "loss": 0.8244, + "step": 24484 + }, + { + "epoch": 0.58, + "grad_norm": 7.804656254324243, + "learning_rate": 8.010383454185103e-06, + "loss": 0.7777, + "step": 24485 + }, + { + "epoch": 0.58, + "grad_norm": 1.4950445265628434, + "learning_rate": 8.0096356741873e-06, + "loss": 0.7804, + "step": 24486 + }, + { + "epoch": 0.58, + "grad_norm": 0.7407812847045867, + "learning_rate": 8.00888790577803e-06, + "loss": 0.6938, + "step": 24487 + }, + { + "epoch": 0.58, + "grad_norm": 1.40892664692632, + "learning_rate": 8.008140148961642e-06, + "loss": 0.7927, + "step": 24488 + }, + { + "epoch": 0.58, + "grad_norm": 1.865282363642515, + "learning_rate": 8.007392403742492e-06, + "loss": 0.9161, + "step": 24489 + }, + { + "epoch": 0.58, + "grad_norm": 1.6031519638121996, + "learning_rate": 8.006644670124935e-06, + "loss": 0.9406, + "step": 24490 + }, + { + "epoch": 0.58, + "grad_norm": 1.4505979449444315, + "learning_rate": 8.005896948113326e-06, + "loss": 0.9679, + "step": 24491 + }, + { + "epoch": 0.58, + "grad_norm": 1.9532632040956335, + "learning_rate": 8.005149237712014e-06, + "loss": 0.8331, + "step": 24492 + }, + { + "epoch": 0.58, + "grad_norm": 1.5123180327917582, + "learning_rate": 8.004401538925353e-06, + "loss": 0.8513, + "step": 24493 + }, + { + "epoch": 0.58, + "grad_norm": 1.637691551005423, + "learning_rate": 8.003653851757703e-06, + "loss": 0.7665, + "step": 24494 + }, + { + "epoch": 0.58, + "grad_norm": 2.070226888851795, + "learning_rate": 8.00290617621341e-06, + "loss": 0.7626, + "step": 24495 + }, + { + "epoch": 0.58, + "grad_norm": 1.5167256104285627, + "learning_rate": 8.002158512296829e-06, + "loss": 0.7529, + "step": 24496 + }, + { + "epoch": 0.58, + "grad_norm": 1.542210779269812, + "learning_rate": 8.001410860012311e-06, + "loss": 0.8054, + "step": 24497 + }, + { + "epoch": 0.58, + "grad_norm": 1.8750409944468558, + "learning_rate": 8.000663219364217e-06, + "loss": 1.0481, + "step": 24498 + }, + { + "epoch": 0.58, + "grad_norm": 1.9578662046841548, + "learning_rate": 7.99991559035689e-06, + "loss": 0.8816, + "step": 24499 + }, + { + "epoch": 0.58, + "grad_norm": 1.508521340495785, + "learning_rate": 7.99916797299469e-06, + "loss": 0.7231, + "step": 24500 + }, + { + "epoch": 0.58, + "grad_norm": 1.6538789791959667, + "learning_rate": 7.99842036728197e-06, + "loss": 0.8184, + "step": 24501 + }, + { + "epoch": 0.58, + "grad_norm": 1.5490560690090955, + "learning_rate": 7.997672773223077e-06, + "loss": 0.7675, + "step": 24502 + }, + { + "epoch": 0.58, + "grad_norm": 1.6506853529454368, + "learning_rate": 7.996925190822367e-06, + "loss": 0.9153, + "step": 24503 + }, + { + "epoch": 0.58, + "grad_norm": 1.6135246220504746, + "learning_rate": 7.996177620084191e-06, + "loss": 0.848, + "step": 24504 + }, + { + "epoch": 0.58, + "grad_norm": 1.9006488806721666, + "learning_rate": 7.99543006101291e-06, + "loss": 0.924, + "step": 24505 + }, + { + "epoch": 0.58, + "grad_norm": 1.7069471686216433, + "learning_rate": 7.994682513612863e-06, + "loss": 0.9319, + "step": 24506 + }, + { + "epoch": 0.58, + "grad_norm": 2.6605772513584767, + "learning_rate": 7.993934977888412e-06, + "loss": 0.7583, + "step": 24507 + }, + { + "epoch": 0.58, + "grad_norm": 1.7436993456602328, + "learning_rate": 7.993187453843908e-06, + "loss": 0.8838, + "step": 24508 + }, + { + "epoch": 0.58, + "grad_norm": 0.7108050638697889, + "learning_rate": 7.992439941483702e-06, + "loss": 0.6744, + "step": 24509 + }, + { + "epoch": 0.58, + "grad_norm": 2.6914854854663277, + "learning_rate": 7.991692440812143e-06, + "loss": 0.74, + "step": 24510 + }, + { + "epoch": 0.58, + "grad_norm": 0.7922301144312153, + "learning_rate": 7.990944951833586e-06, + "loss": 0.7756, + "step": 24511 + }, + { + "epoch": 0.58, + "grad_norm": 1.77281372919489, + "learning_rate": 7.99019747455239e-06, + "loss": 0.8895, + "step": 24512 + }, + { + "epoch": 0.58, + "grad_norm": 1.7601957131989878, + "learning_rate": 7.989450008972893e-06, + "loss": 0.8884, + "step": 24513 + }, + { + "epoch": 0.58, + "grad_norm": 1.5908716273198358, + "learning_rate": 7.988702555099458e-06, + "loss": 0.9437, + "step": 24514 + }, + { + "epoch": 0.58, + "grad_norm": 1.7636884773237067, + "learning_rate": 7.987955112936435e-06, + "loss": 0.8343, + "step": 24515 + }, + { + "epoch": 0.58, + "grad_norm": 1.4712888384575726, + "learning_rate": 7.987207682488172e-06, + "loss": 0.9244, + "step": 24516 + }, + { + "epoch": 0.58, + "grad_norm": 1.5948506702361904, + "learning_rate": 7.986460263759022e-06, + "loss": 0.748, + "step": 24517 + }, + { + "epoch": 0.58, + "grad_norm": 1.5334398788636512, + "learning_rate": 7.98571285675334e-06, + "loss": 0.7585, + "step": 24518 + }, + { + "epoch": 0.58, + "grad_norm": 1.4048699116223893, + "learning_rate": 7.984965461475477e-06, + "loss": 0.8516, + "step": 24519 + }, + { + "epoch": 0.58, + "grad_norm": 2.604829932294646, + "learning_rate": 7.984218077929782e-06, + "loss": 0.8759, + "step": 24520 + }, + { + "epoch": 0.58, + "grad_norm": 1.670315308193254, + "learning_rate": 7.983470706120604e-06, + "loss": 0.9394, + "step": 24521 + }, + { + "epoch": 0.58, + "grad_norm": 1.7559801098696153, + "learning_rate": 7.982723346052302e-06, + "loss": 0.8464, + "step": 24522 + }, + { + "epoch": 0.58, + "grad_norm": 0.7596898494677851, + "learning_rate": 7.981975997729222e-06, + "loss": 0.6938, + "step": 24523 + }, + { + "epoch": 0.58, + "grad_norm": 0.7661836514063438, + "learning_rate": 7.981228661155718e-06, + "loss": 0.732, + "step": 24524 + }, + { + "epoch": 0.58, + "grad_norm": 1.5379793602106817, + "learning_rate": 7.980481336336135e-06, + "loss": 0.7885, + "step": 24525 + }, + { + "epoch": 0.58, + "grad_norm": 1.64826583466341, + "learning_rate": 7.979734023274835e-06, + "loss": 0.7725, + "step": 24526 + }, + { + "epoch": 0.58, + "grad_norm": 1.8115258569007202, + "learning_rate": 7.97898672197616e-06, + "loss": 0.9142, + "step": 24527 + }, + { + "epoch": 0.58, + "grad_norm": 1.4706753742245582, + "learning_rate": 7.978239432444466e-06, + "loss": 0.8969, + "step": 24528 + }, + { + "epoch": 0.58, + "grad_norm": 1.7256179433963452, + "learning_rate": 7.977492154684097e-06, + "loss": 0.9344, + "step": 24529 + }, + { + "epoch": 0.58, + "grad_norm": 1.639538542856582, + "learning_rate": 7.976744888699416e-06, + "loss": 0.8407, + "step": 24530 + }, + { + "epoch": 0.58, + "grad_norm": 1.4856411213855432, + "learning_rate": 7.975997634494764e-06, + "loss": 0.8992, + "step": 24531 + }, + { + "epoch": 0.58, + "grad_norm": 0.7845385628863757, + "learning_rate": 7.975250392074493e-06, + "loss": 0.7781, + "step": 24532 + }, + { + "epoch": 0.58, + "grad_norm": 1.5727530179906515, + "learning_rate": 7.97450316144296e-06, + "loss": 0.8078, + "step": 24533 + }, + { + "epoch": 0.58, + "grad_norm": 2.2395165223943456, + "learning_rate": 7.973755942604505e-06, + "loss": 0.8099, + "step": 24534 + }, + { + "epoch": 0.58, + "grad_norm": 1.550118200295701, + "learning_rate": 7.973008735563486e-06, + "loss": 0.9437, + "step": 24535 + }, + { + "epoch": 0.58, + "grad_norm": 0.7926964951442967, + "learning_rate": 7.972261540324252e-06, + "loss": 0.733, + "step": 24536 + }, + { + "epoch": 0.58, + "grad_norm": 1.7012417265142454, + "learning_rate": 7.971514356891157e-06, + "loss": 0.736, + "step": 24537 + }, + { + "epoch": 0.58, + "grad_norm": 1.5932526992977452, + "learning_rate": 7.970767185268541e-06, + "loss": 0.8963, + "step": 24538 + }, + { + "epoch": 0.58, + "grad_norm": 2.047385402570625, + "learning_rate": 7.970020025460765e-06, + "loss": 0.8094, + "step": 24539 + }, + { + "epoch": 0.58, + "grad_norm": 1.7521401171515416, + "learning_rate": 7.969272877472178e-06, + "loss": 0.8645, + "step": 24540 + }, + { + "epoch": 0.58, + "grad_norm": 1.5296210730806665, + "learning_rate": 7.968525741307123e-06, + "loss": 0.7851, + "step": 24541 + }, + { + "epoch": 0.58, + "grad_norm": 0.7792590145245422, + "learning_rate": 7.967778616969952e-06, + "loss": 0.7154, + "step": 24542 + }, + { + "epoch": 0.58, + "grad_norm": 1.5101517650051501, + "learning_rate": 7.96703150446502e-06, + "loss": 0.9416, + "step": 24543 + }, + { + "epoch": 0.58, + "grad_norm": 1.6346759071151078, + "learning_rate": 7.966284403796677e-06, + "loss": 0.9206, + "step": 24544 + }, + { + "epoch": 0.58, + "grad_norm": 0.7676958372708443, + "learning_rate": 7.965537314969267e-06, + "loss": 0.749, + "step": 24545 + }, + { + "epoch": 0.58, + "grad_norm": 1.770130257990734, + "learning_rate": 7.964790237987142e-06, + "loss": 0.9831, + "step": 24546 + }, + { + "epoch": 0.58, + "grad_norm": 1.6174508772371874, + "learning_rate": 7.964043172854657e-06, + "loss": 0.8386, + "step": 24547 + }, + { + "epoch": 0.58, + "grad_norm": 1.58971433393241, + "learning_rate": 7.963296119576154e-06, + "loss": 0.912, + "step": 24548 + }, + { + "epoch": 0.58, + "grad_norm": 1.5131060891091621, + "learning_rate": 7.962549078155984e-06, + "loss": 0.9487, + "step": 24549 + }, + { + "epoch": 0.58, + "grad_norm": 1.7344316810101943, + "learning_rate": 7.9618020485985e-06, + "loss": 0.7705, + "step": 24550 + }, + { + "epoch": 0.58, + "grad_norm": 1.9981943685326649, + "learning_rate": 7.961055030908052e-06, + "loss": 0.813, + "step": 24551 + }, + { + "epoch": 0.58, + "grad_norm": 1.5797320767467389, + "learning_rate": 7.960308025088985e-06, + "loss": 0.7654, + "step": 24552 + }, + { + "epoch": 0.58, + "grad_norm": 0.7376287242086269, + "learning_rate": 7.959561031145648e-06, + "loss": 0.6602, + "step": 24553 + }, + { + "epoch": 0.58, + "grad_norm": 1.8757811531399673, + "learning_rate": 7.958814049082399e-06, + "loss": 0.9988, + "step": 24554 + }, + { + "epoch": 0.58, + "grad_norm": 1.6320427936162654, + "learning_rate": 7.958067078903574e-06, + "loss": 0.8422, + "step": 24555 + }, + { + "epoch": 0.58, + "grad_norm": 2.0225554789345157, + "learning_rate": 7.957320120613535e-06, + "loss": 0.8745, + "step": 24556 + }, + { + "epoch": 0.58, + "grad_norm": 1.6273964099689555, + "learning_rate": 7.956573174216619e-06, + "loss": 0.9018, + "step": 24557 + }, + { + "epoch": 0.58, + "grad_norm": 1.7003112708713182, + "learning_rate": 7.955826239717189e-06, + "loss": 0.8458, + "step": 24558 + }, + { + "epoch": 0.58, + "grad_norm": 1.6352849293813292, + "learning_rate": 7.955079317119578e-06, + "loss": 0.9108, + "step": 24559 + }, + { + "epoch": 0.58, + "grad_norm": 1.4905350624014708, + "learning_rate": 7.954332406428145e-06, + "loss": 0.9201, + "step": 24560 + }, + { + "epoch": 0.58, + "grad_norm": 1.8579413825868492, + "learning_rate": 7.953585507647239e-06, + "loss": 0.8075, + "step": 24561 + }, + { + "epoch": 0.58, + "grad_norm": 1.561508708709047, + "learning_rate": 7.952838620781201e-06, + "loss": 0.7907, + "step": 24562 + }, + { + "epoch": 0.58, + "grad_norm": 1.602342334847503, + "learning_rate": 7.952091745834387e-06, + "loss": 0.9928, + "step": 24563 + }, + { + "epoch": 0.58, + "grad_norm": 1.7528387331344317, + "learning_rate": 7.951344882811145e-06, + "loss": 0.8363, + "step": 24564 + }, + { + "epoch": 0.58, + "grad_norm": 1.6149116485099335, + "learning_rate": 7.950598031715822e-06, + "loss": 0.8491, + "step": 24565 + }, + { + "epoch": 0.58, + "grad_norm": 1.608226481212312, + "learning_rate": 7.949851192552762e-06, + "loss": 0.8788, + "step": 24566 + }, + { + "epoch": 0.58, + "grad_norm": 1.455336205825761, + "learning_rate": 7.94910436532632e-06, + "loss": 0.902, + "step": 24567 + }, + { + "epoch": 0.58, + "grad_norm": 1.8311696044623729, + "learning_rate": 7.948357550040843e-06, + "loss": 0.8362, + "step": 24568 + }, + { + "epoch": 0.58, + "grad_norm": 1.498035414816963, + "learning_rate": 7.947610746700677e-06, + "loss": 0.8475, + "step": 24569 + }, + { + "epoch": 0.58, + "grad_norm": 1.528229287593426, + "learning_rate": 7.946863955310169e-06, + "loss": 0.8302, + "step": 24570 + }, + { + "epoch": 0.58, + "grad_norm": 1.4622036348728409, + "learning_rate": 7.94611717587367e-06, + "loss": 0.9535, + "step": 24571 + }, + { + "epoch": 0.58, + "grad_norm": 2.5092288374643124, + "learning_rate": 7.94537040839553e-06, + "loss": 0.8415, + "step": 24572 + }, + { + "epoch": 0.58, + "grad_norm": 1.4421834419673591, + "learning_rate": 7.944623652880092e-06, + "loss": 0.9119, + "step": 24573 + }, + { + "epoch": 0.58, + "grad_norm": 1.5087670465054412, + "learning_rate": 7.943876909331702e-06, + "loss": 0.931, + "step": 24574 + }, + { + "epoch": 0.58, + "grad_norm": 1.683351519004729, + "learning_rate": 7.943130177754718e-06, + "loss": 0.9309, + "step": 24575 + }, + { + "epoch": 0.58, + "grad_norm": 2.0947278472367374, + "learning_rate": 7.942383458153478e-06, + "loss": 0.8471, + "step": 24576 + }, + { + "epoch": 0.58, + "grad_norm": 1.4743218412194568, + "learning_rate": 7.941636750532334e-06, + "loss": 0.8257, + "step": 24577 + }, + { + "epoch": 0.58, + "grad_norm": 1.5104820434777804, + "learning_rate": 7.940890054895627e-06, + "loss": 0.7926, + "step": 24578 + }, + { + "epoch": 0.58, + "grad_norm": 1.7271539646771157, + "learning_rate": 7.940143371247718e-06, + "loss": 0.8119, + "step": 24579 + }, + { + "epoch": 0.58, + "grad_norm": 1.5197430379710128, + "learning_rate": 7.939396699592942e-06, + "loss": 0.8856, + "step": 24580 + }, + { + "epoch": 0.58, + "grad_norm": 1.7846532444013827, + "learning_rate": 7.938650039935654e-06, + "loss": 0.8059, + "step": 24581 + }, + { + "epoch": 0.58, + "grad_norm": 1.8857590347038264, + "learning_rate": 7.937903392280198e-06, + "loss": 0.8168, + "step": 24582 + }, + { + "epoch": 0.58, + "grad_norm": 1.613863511800793, + "learning_rate": 7.937156756630915e-06, + "loss": 0.8603, + "step": 24583 + }, + { + "epoch": 0.58, + "grad_norm": 0.8200449308127514, + "learning_rate": 7.936410132992163e-06, + "loss": 0.7245, + "step": 24584 + }, + { + "epoch": 0.58, + "grad_norm": 1.6655109051761572, + "learning_rate": 7.935663521368283e-06, + "loss": 0.7933, + "step": 24585 + }, + { + "epoch": 0.58, + "grad_norm": 1.5240035724547554, + "learning_rate": 7.93491692176363e-06, + "loss": 0.8135, + "step": 24586 + }, + { + "epoch": 0.58, + "grad_norm": 1.726542267307289, + "learning_rate": 7.934170334182537e-06, + "loss": 0.7471, + "step": 24587 + }, + { + "epoch": 0.58, + "grad_norm": 1.4986897220974094, + "learning_rate": 7.93342375862936e-06, + "loss": 0.7423, + "step": 24588 + }, + { + "epoch": 0.58, + "grad_norm": 0.7206398804652471, + "learning_rate": 7.932677195108447e-06, + "loss": 0.7422, + "step": 24589 + }, + { + "epoch": 0.58, + "grad_norm": 1.7685312252809384, + "learning_rate": 7.93193064362414e-06, + "loss": 0.8991, + "step": 24590 + }, + { + "epoch": 0.58, + "grad_norm": 1.6365822311235043, + "learning_rate": 7.931184104180784e-06, + "loss": 0.7915, + "step": 24591 + }, + { + "epoch": 0.58, + "grad_norm": 1.7306414238109684, + "learning_rate": 7.930437576782732e-06, + "loss": 0.88, + "step": 24592 + }, + { + "epoch": 0.58, + "grad_norm": 2.5498294657449647, + "learning_rate": 7.92969106143433e-06, + "loss": 0.7984, + "step": 24593 + }, + { + "epoch": 0.58, + "grad_norm": 2.143940452486402, + "learning_rate": 7.928944558139921e-06, + "loss": 0.7923, + "step": 24594 + }, + { + "epoch": 0.58, + "grad_norm": 1.5099373646666154, + "learning_rate": 7.928198066903849e-06, + "loss": 0.9309, + "step": 24595 + }, + { + "epoch": 0.58, + "grad_norm": 1.6062982141656963, + "learning_rate": 7.927451587730467e-06, + "loss": 0.9756, + "step": 24596 + }, + { + "epoch": 0.58, + "grad_norm": 1.830039234432617, + "learning_rate": 7.926705120624119e-06, + "loss": 0.9048, + "step": 24597 + }, + { + "epoch": 0.58, + "grad_norm": 1.8362881122925214, + "learning_rate": 7.925958665589146e-06, + "loss": 0.8396, + "step": 24598 + }, + { + "epoch": 0.58, + "grad_norm": 1.7108329928214854, + "learning_rate": 7.9252122226299e-06, + "loss": 0.7756, + "step": 24599 + }, + { + "epoch": 0.58, + "grad_norm": 1.6297032334901123, + "learning_rate": 7.924465791750728e-06, + "loss": 0.9485, + "step": 24600 + }, + { + "epoch": 0.58, + "grad_norm": 1.7942757059235233, + "learning_rate": 7.923719372955973e-06, + "loss": 0.7894, + "step": 24601 + }, + { + "epoch": 0.58, + "grad_norm": 1.6041695492566181, + "learning_rate": 7.922972966249977e-06, + "loss": 0.7922, + "step": 24602 + }, + { + "epoch": 0.58, + "grad_norm": 1.81865622517933, + "learning_rate": 7.922226571637096e-06, + "loss": 1.0136, + "step": 24603 + }, + { + "epoch": 0.58, + "grad_norm": 1.7544829129575925, + "learning_rate": 7.921480189121665e-06, + "loss": 0.7603, + "step": 24604 + }, + { + "epoch": 0.58, + "grad_norm": 1.5574307447468652, + "learning_rate": 7.920733818708036e-06, + "loss": 0.882, + "step": 24605 + }, + { + "epoch": 0.58, + "grad_norm": 2.0544047790192557, + "learning_rate": 7.919987460400549e-06, + "loss": 0.863, + "step": 24606 + }, + { + "epoch": 0.58, + "grad_norm": 1.4445138653867784, + "learning_rate": 7.919241114203563e-06, + "loss": 0.8407, + "step": 24607 + }, + { + "epoch": 0.58, + "grad_norm": 1.480839513819328, + "learning_rate": 7.918494780121404e-06, + "loss": 0.8708, + "step": 24608 + }, + { + "epoch": 0.58, + "grad_norm": 0.7851997673572833, + "learning_rate": 7.917748458158432e-06, + "loss": 0.7716, + "step": 24609 + }, + { + "epoch": 0.58, + "grad_norm": 1.6017799136102617, + "learning_rate": 7.917002148318989e-06, + "loss": 0.9182, + "step": 24610 + }, + { + "epoch": 0.58, + "grad_norm": 1.4170375831039341, + "learning_rate": 7.916255850607415e-06, + "loss": 0.7593, + "step": 24611 + }, + { + "epoch": 0.58, + "grad_norm": 1.732129522745466, + "learning_rate": 7.915509565028061e-06, + "loss": 0.8677, + "step": 24612 + }, + { + "epoch": 0.58, + "grad_norm": 1.4868335999863334, + "learning_rate": 7.914763291585271e-06, + "loss": 0.903, + "step": 24613 + }, + { + "epoch": 0.58, + "grad_norm": 1.5271775722613652, + "learning_rate": 7.91401703028339e-06, + "loss": 0.9557, + "step": 24614 + }, + { + "epoch": 0.58, + "grad_norm": 1.6556778340118765, + "learning_rate": 7.91327078112676e-06, + "loss": 0.8932, + "step": 24615 + }, + { + "epoch": 0.58, + "grad_norm": 1.9083144079279386, + "learning_rate": 7.912524544119728e-06, + "loss": 0.8657, + "step": 24616 + }, + { + "epoch": 0.58, + "grad_norm": 0.7533678746535772, + "learning_rate": 7.911778319266643e-06, + "loss": 0.6975, + "step": 24617 + }, + { + "epoch": 0.58, + "grad_norm": 1.6946587975876108, + "learning_rate": 7.911032106571842e-06, + "loss": 0.9009, + "step": 24618 + }, + { + "epoch": 0.58, + "grad_norm": 1.9829336978754364, + "learning_rate": 7.910285906039673e-06, + "loss": 0.8441, + "step": 24619 + }, + { + "epoch": 0.58, + "grad_norm": 1.6173365846448375, + "learning_rate": 7.909539717674483e-06, + "loss": 0.8442, + "step": 24620 + }, + { + "epoch": 0.58, + "grad_norm": 1.6436346416623338, + "learning_rate": 7.908793541480615e-06, + "loss": 0.9328, + "step": 24621 + }, + { + "epoch": 0.58, + "grad_norm": 1.6982783708185, + "learning_rate": 7.908047377462413e-06, + "loss": 0.985, + "step": 24622 + }, + { + "epoch": 0.58, + "grad_norm": 1.5035925387416453, + "learning_rate": 7.907301225624218e-06, + "loss": 0.8519, + "step": 24623 + }, + { + "epoch": 0.58, + "grad_norm": 0.7526330326356825, + "learning_rate": 7.906555085970382e-06, + "loss": 0.7451, + "step": 24624 + }, + { + "epoch": 0.58, + "grad_norm": 2.1385063936931545, + "learning_rate": 7.905808958505243e-06, + "loss": 0.894, + "step": 24625 + }, + { + "epoch": 0.58, + "grad_norm": 1.7737845569013804, + "learning_rate": 7.905062843233148e-06, + "loss": 0.7941, + "step": 24626 + }, + { + "epoch": 0.58, + "grad_norm": 1.5006578143401237, + "learning_rate": 7.904316740158437e-06, + "loss": 0.9569, + "step": 24627 + }, + { + "epoch": 0.58, + "grad_norm": 1.4533385922276325, + "learning_rate": 7.903570649285463e-06, + "loss": 0.8733, + "step": 24628 + }, + { + "epoch": 0.58, + "grad_norm": 1.7280579420009703, + "learning_rate": 7.902824570618562e-06, + "loss": 0.9482, + "step": 24629 + }, + { + "epoch": 0.58, + "grad_norm": 1.7851540010970763, + "learning_rate": 7.90207850416208e-06, + "loss": 0.8883, + "step": 24630 + }, + { + "epoch": 0.58, + "grad_norm": 1.5489365962809405, + "learning_rate": 7.901332449920365e-06, + "loss": 0.8566, + "step": 24631 + }, + { + "epoch": 0.58, + "grad_norm": 1.6109186925500416, + "learning_rate": 7.90058640789775e-06, + "loss": 0.9917, + "step": 24632 + }, + { + "epoch": 0.58, + "grad_norm": 1.6721191284412502, + "learning_rate": 7.899840378098589e-06, + "loss": 0.8804, + "step": 24633 + }, + { + "epoch": 0.58, + "grad_norm": 1.6680618419356417, + "learning_rate": 7.89909436052722e-06, + "loss": 0.865, + "step": 24634 + }, + { + "epoch": 0.58, + "grad_norm": 0.7668146519490767, + "learning_rate": 7.898348355187994e-06, + "loss": 0.6511, + "step": 24635 + }, + { + "epoch": 0.58, + "grad_norm": 1.8445668764017091, + "learning_rate": 7.897602362085246e-06, + "loss": 0.8687, + "step": 24636 + }, + { + "epoch": 0.58, + "grad_norm": 1.6626452869434944, + "learning_rate": 7.896856381223321e-06, + "loss": 1.0034, + "step": 24637 + }, + { + "epoch": 0.58, + "grad_norm": 1.5587634273075985, + "learning_rate": 7.896110412606569e-06, + "loss": 0.8631, + "step": 24638 + }, + { + "epoch": 0.58, + "grad_norm": 1.5859593233711673, + "learning_rate": 7.895364456239324e-06, + "loss": 0.7775, + "step": 24639 + }, + { + "epoch": 0.58, + "grad_norm": 1.7370595161457716, + "learning_rate": 7.894618512125932e-06, + "loss": 0.8608, + "step": 24640 + }, + { + "epoch": 0.58, + "grad_norm": 1.6885871199463085, + "learning_rate": 7.893872580270741e-06, + "loss": 0.9644, + "step": 24641 + }, + { + "epoch": 0.58, + "grad_norm": 0.7788350818839657, + "learning_rate": 7.893126660678091e-06, + "loss": 0.738, + "step": 24642 + }, + { + "epoch": 0.58, + "grad_norm": 1.623418376476411, + "learning_rate": 7.892380753352324e-06, + "loss": 0.8194, + "step": 24643 + }, + { + "epoch": 0.58, + "grad_norm": 1.5776002613165745, + "learning_rate": 7.89163485829778e-06, + "loss": 0.8136, + "step": 24644 + }, + { + "epoch": 0.58, + "grad_norm": 1.6609302111230626, + "learning_rate": 7.89088897551881e-06, + "loss": 0.763, + "step": 24645 + }, + { + "epoch": 0.58, + "grad_norm": 1.6643074186940756, + "learning_rate": 7.89014310501975e-06, + "loss": 0.7854, + "step": 24646 + }, + { + "epoch": 0.58, + "grad_norm": 1.6377820424788236, + "learning_rate": 7.889397246804943e-06, + "loss": 0.8071, + "step": 24647 + }, + { + "epoch": 0.58, + "grad_norm": 0.8275670311116275, + "learning_rate": 7.888651400878736e-06, + "loss": 0.7021, + "step": 24648 + }, + { + "epoch": 0.58, + "grad_norm": 1.573655435939081, + "learning_rate": 7.88790556724547e-06, + "loss": 0.8699, + "step": 24649 + }, + { + "epoch": 0.58, + "grad_norm": 0.7967287077158028, + "learning_rate": 7.887159745909484e-06, + "loss": 0.7512, + "step": 24650 + }, + { + "epoch": 0.58, + "grad_norm": 1.8156097466392633, + "learning_rate": 7.886413936875122e-06, + "loss": 0.869, + "step": 24651 + }, + { + "epoch": 0.58, + "grad_norm": 1.6007354844588266, + "learning_rate": 7.88566814014673e-06, + "loss": 0.8973, + "step": 24652 + }, + { + "epoch": 0.58, + "grad_norm": 1.5053525871577063, + "learning_rate": 7.884922355728649e-06, + "loss": 0.8164, + "step": 24653 + }, + { + "epoch": 0.58, + "grad_norm": 2.1444069682715887, + "learning_rate": 7.884176583625215e-06, + "loss": 0.9532, + "step": 24654 + }, + { + "epoch": 0.58, + "grad_norm": 1.6869139475997421, + "learning_rate": 7.883430823840775e-06, + "loss": 0.8283, + "step": 24655 + }, + { + "epoch": 0.58, + "grad_norm": 1.6305681222331572, + "learning_rate": 7.882685076379675e-06, + "loss": 0.7916, + "step": 24656 + }, + { + "epoch": 0.58, + "grad_norm": 1.8462774015953451, + "learning_rate": 7.88193934124625e-06, + "loss": 0.8783, + "step": 24657 + }, + { + "epoch": 0.58, + "grad_norm": 1.5345154705881712, + "learning_rate": 7.881193618444846e-06, + "loss": 0.8063, + "step": 24658 + }, + { + "epoch": 0.58, + "grad_norm": 2.087087874817856, + "learning_rate": 7.8804479079798e-06, + "loss": 0.9845, + "step": 24659 + }, + { + "epoch": 0.58, + "grad_norm": 1.6107428267259, + "learning_rate": 7.879702209855463e-06, + "loss": 0.9719, + "step": 24660 + }, + { + "epoch": 0.58, + "grad_norm": 1.6695576951428122, + "learning_rate": 7.878956524076167e-06, + "loss": 0.7969, + "step": 24661 + }, + { + "epoch": 0.58, + "grad_norm": 1.5186786892681412, + "learning_rate": 7.87821085064626e-06, + "loss": 0.7598, + "step": 24662 + }, + { + "epoch": 0.58, + "grad_norm": 1.7403554791793447, + "learning_rate": 7.877465189570081e-06, + "loss": 0.8264, + "step": 24663 + }, + { + "epoch": 0.58, + "grad_norm": 1.5622967239489407, + "learning_rate": 7.876719540851969e-06, + "loss": 0.8982, + "step": 24664 + }, + { + "epoch": 0.58, + "grad_norm": 1.6198658347957442, + "learning_rate": 7.87597390449627e-06, + "loss": 0.849, + "step": 24665 + }, + { + "epoch": 0.58, + "grad_norm": 1.7279043998028842, + "learning_rate": 7.875228280507322e-06, + "loss": 0.881, + "step": 24666 + }, + { + "epoch": 0.58, + "grad_norm": 0.7817192796465391, + "learning_rate": 7.874482668889472e-06, + "loss": 0.7475, + "step": 24667 + }, + { + "epoch": 0.58, + "grad_norm": 1.6237977382018218, + "learning_rate": 7.87373706964705e-06, + "loss": 0.9068, + "step": 24668 + }, + { + "epoch": 0.58, + "grad_norm": 1.5460051633123806, + "learning_rate": 7.872991482784408e-06, + "loss": 0.7909, + "step": 24669 + }, + { + "epoch": 0.58, + "grad_norm": 1.7528170502125433, + "learning_rate": 7.872245908305885e-06, + "loss": 0.9176, + "step": 24670 + }, + { + "epoch": 0.58, + "grad_norm": 1.691656321625147, + "learning_rate": 7.871500346215817e-06, + "loss": 0.913, + "step": 24671 + }, + { + "epoch": 0.58, + "grad_norm": 1.6759332978160393, + "learning_rate": 7.870754796518547e-06, + "loss": 0.9163, + "step": 24672 + }, + { + "epoch": 0.58, + "grad_norm": 2.147703238151797, + "learning_rate": 7.870009259218417e-06, + "loss": 0.8774, + "step": 24673 + }, + { + "epoch": 0.58, + "grad_norm": 1.6089919697295079, + "learning_rate": 7.86926373431977e-06, + "loss": 0.7683, + "step": 24674 + }, + { + "epoch": 0.58, + "grad_norm": 1.5521326904864934, + "learning_rate": 7.868518221826943e-06, + "loss": 0.8136, + "step": 24675 + }, + { + "epoch": 0.58, + "grad_norm": 1.750546794941546, + "learning_rate": 7.867772721744275e-06, + "loss": 0.912, + "step": 24676 + }, + { + "epoch": 0.58, + "grad_norm": 1.4784532384075302, + "learning_rate": 7.867027234076115e-06, + "loss": 0.8773, + "step": 24677 + }, + { + "epoch": 0.58, + "grad_norm": 1.544996937728891, + "learning_rate": 7.866281758826793e-06, + "loss": 0.9967, + "step": 24678 + }, + { + "epoch": 0.58, + "grad_norm": 1.652826143497985, + "learning_rate": 7.865536296000655e-06, + "loss": 0.8975, + "step": 24679 + }, + { + "epoch": 0.58, + "grad_norm": 1.8131516874923301, + "learning_rate": 7.86479084560204e-06, + "loss": 0.9082, + "step": 24680 + }, + { + "epoch": 0.58, + "grad_norm": 1.6344357367623534, + "learning_rate": 7.86404540763529e-06, + "loss": 0.7298, + "step": 24681 + }, + { + "epoch": 0.58, + "grad_norm": 1.925830494126416, + "learning_rate": 7.863299982104745e-06, + "loss": 0.7665, + "step": 24682 + }, + { + "epoch": 0.58, + "grad_norm": 1.7267730230590086, + "learning_rate": 7.862554569014739e-06, + "loss": 0.6279, + "step": 24683 + }, + { + "epoch": 0.58, + "grad_norm": 1.5613833605256096, + "learning_rate": 7.861809168369626e-06, + "loss": 0.9491, + "step": 24684 + }, + { + "epoch": 0.58, + "grad_norm": 2.0378157762072955, + "learning_rate": 7.861063780173728e-06, + "loss": 0.872, + "step": 24685 + }, + { + "epoch": 0.58, + "grad_norm": 1.4667760514020607, + "learning_rate": 7.860318404431397e-06, + "loss": 0.9459, + "step": 24686 + }, + { + "epoch": 0.58, + "grad_norm": 1.7258947808611567, + "learning_rate": 7.859573041146968e-06, + "loss": 0.7733, + "step": 24687 + }, + { + "epoch": 0.58, + "grad_norm": 1.610003427851894, + "learning_rate": 7.858827690324788e-06, + "loss": 1.0159, + "step": 24688 + }, + { + "epoch": 0.58, + "grad_norm": 0.7495504293944908, + "learning_rate": 7.858082351969185e-06, + "loss": 0.7729, + "step": 24689 + }, + { + "epoch": 0.58, + "grad_norm": 1.5817572548847532, + "learning_rate": 7.857337026084508e-06, + "loss": 0.7778, + "step": 24690 + }, + { + "epoch": 0.58, + "grad_norm": 2.203806927096585, + "learning_rate": 7.856591712675093e-06, + "loss": 0.8901, + "step": 24691 + }, + { + "epoch": 0.58, + "grad_norm": 0.759852988358218, + "learning_rate": 7.855846411745278e-06, + "loss": 0.6859, + "step": 24692 + }, + { + "epoch": 0.58, + "grad_norm": 1.5744147977132503, + "learning_rate": 7.855101123299403e-06, + "loss": 0.7575, + "step": 24693 + }, + { + "epoch": 0.58, + "grad_norm": 1.9660140051729424, + "learning_rate": 7.85435584734181e-06, + "loss": 0.7881, + "step": 24694 + }, + { + "epoch": 0.58, + "grad_norm": 1.659256100929761, + "learning_rate": 7.853610583876839e-06, + "loss": 0.7771, + "step": 24695 + }, + { + "epoch": 0.58, + "grad_norm": 1.807854117695289, + "learning_rate": 7.852865332908822e-06, + "loss": 0.8248, + "step": 24696 + }, + { + "epoch": 0.58, + "grad_norm": 1.661941330085071, + "learning_rate": 7.852120094442105e-06, + "loss": 0.9268, + "step": 24697 + }, + { + "epoch": 0.58, + "grad_norm": 1.715142837896559, + "learning_rate": 7.851374868481027e-06, + "loss": 0.9817, + "step": 24698 + }, + { + "epoch": 0.58, + "grad_norm": 1.604233688903576, + "learning_rate": 7.850629655029923e-06, + "loss": 0.9482, + "step": 24699 + }, + { + "epoch": 0.58, + "grad_norm": 1.7826157167229468, + "learning_rate": 7.849884454093132e-06, + "loss": 0.9926, + "step": 24700 + }, + { + "epoch": 0.58, + "grad_norm": 1.4237172296738483, + "learning_rate": 7.849139265674995e-06, + "loss": 0.9044, + "step": 24701 + }, + { + "epoch": 0.58, + "grad_norm": 1.8426658562832594, + "learning_rate": 7.848394089779854e-06, + "loss": 1.0358, + "step": 24702 + }, + { + "epoch": 0.58, + "grad_norm": 0.7693284350915458, + "learning_rate": 7.84764892641204e-06, + "loss": 0.7409, + "step": 24703 + }, + { + "epoch": 0.58, + "grad_norm": 1.6577278103166813, + "learning_rate": 7.846903775575893e-06, + "loss": 0.7361, + "step": 24704 + }, + { + "epoch": 0.58, + "grad_norm": 2.0771259256536534, + "learning_rate": 7.846158637275761e-06, + "loss": 0.8587, + "step": 24705 + }, + { + "epoch": 0.58, + "grad_norm": 1.897252912804103, + "learning_rate": 7.84541351151597e-06, + "loss": 0.8718, + "step": 24706 + }, + { + "epoch": 0.58, + "grad_norm": 1.563633150077389, + "learning_rate": 7.844668398300866e-06, + "loss": 0.9221, + "step": 24707 + }, + { + "epoch": 0.58, + "grad_norm": 1.7091231793165491, + "learning_rate": 7.843923297634781e-06, + "loss": 0.8839, + "step": 24708 + }, + { + "epoch": 0.58, + "grad_norm": 1.7978303955227883, + "learning_rate": 7.843178209522063e-06, + "loss": 0.8305, + "step": 24709 + }, + { + "epoch": 0.58, + "grad_norm": 0.7502512174842647, + "learning_rate": 7.842433133967041e-06, + "loss": 0.7756, + "step": 24710 + }, + { + "epoch": 0.58, + "grad_norm": 2.24611712722171, + "learning_rate": 7.841688070974056e-06, + "loss": 0.8873, + "step": 24711 + }, + { + "epoch": 0.58, + "grad_norm": 1.5336024438608693, + "learning_rate": 7.84094302054745e-06, + "loss": 0.8025, + "step": 24712 + }, + { + "epoch": 0.58, + "grad_norm": 1.577327193048389, + "learning_rate": 7.840197982691552e-06, + "loss": 0.8636, + "step": 24713 + }, + { + "epoch": 0.58, + "grad_norm": 1.667502549864424, + "learning_rate": 7.839452957410707e-06, + "loss": 0.8009, + "step": 24714 + }, + { + "epoch": 0.58, + "grad_norm": 1.7072604427920204, + "learning_rate": 7.838707944709252e-06, + "loss": 0.8998, + "step": 24715 + }, + { + "epoch": 0.58, + "grad_norm": 1.9432861024075936, + "learning_rate": 7.837962944591525e-06, + "loss": 0.7994, + "step": 24716 + }, + { + "epoch": 0.58, + "grad_norm": 1.4181600680646014, + "learning_rate": 7.837217957061858e-06, + "loss": 0.8551, + "step": 24717 + }, + { + "epoch": 0.58, + "grad_norm": 1.6321766799243251, + "learning_rate": 7.836472982124596e-06, + "loss": 0.9893, + "step": 24718 + }, + { + "epoch": 0.58, + "grad_norm": 1.6616454170487258, + "learning_rate": 7.835728019784074e-06, + "loss": 0.9834, + "step": 24719 + }, + { + "epoch": 0.58, + "grad_norm": 1.6493214110061016, + "learning_rate": 7.834983070044626e-06, + "loss": 0.7683, + "step": 24720 + }, + { + "epoch": 0.58, + "grad_norm": 0.7782210781449346, + "learning_rate": 7.83423813291059e-06, + "loss": 0.7476, + "step": 24721 + }, + { + "epoch": 0.58, + "grad_norm": 1.7754219582098762, + "learning_rate": 7.833493208386308e-06, + "loss": 0.8673, + "step": 24722 + }, + { + "epoch": 0.58, + "grad_norm": 0.7580393549849549, + "learning_rate": 7.832748296476117e-06, + "loss": 0.7282, + "step": 24723 + }, + { + "epoch": 0.58, + "grad_norm": 1.66050088587018, + "learning_rate": 7.832003397184351e-06, + "loss": 0.84, + "step": 24724 + }, + { + "epoch": 0.58, + "grad_norm": 1.4131353934134951, + "learning_rate": 7.831258510515342e-06, + "loss": 0.7992, + "step": 24725 + }, + { + "epoch": 0.58, + "grad_norm": 1.5119638603719519, + "learning_rate": 7.83051363647344e-06, + "loss": 0.7783, + "step": 24726 + }, + { + "epoch": 0.58, + "grad_norm": 1.5794556446495691, + "learning_rate": 7.82976877506297e-06, + "loss": 0.8179, + "step": 24727 + }, + { + "epoch": 0.58, + "grad_norm": 1.65979565799517, + "learning_rate": 7.829023926288275e-06, + "loss": 0.8425, + "step": 24728 + }, + { + "epoch": 0.58, + "grad_norm": 1.6492309674958676, + "learning_rate": 7.828279090153686e-06, + "loss": 0.8694, + "step": 24729 + }, + { + "epoch": 0.58, + "grad_norm": 1.5654213219676125, + "learning_rate": 7.827534266663548e-06, + "loss": 0.8687, + "step": 24730 + }, + { + "epoch": 0.58, + "grad_norm": 1.5502926832108723, + "learning_rate": 7.826789455822194e-06, + "loss": 0.8565, + "step": 24731 + }, + { + "epoch": 0.58, + "grad_norm": 1.6118021603519255, + "learning_rate": 7.826044657633956e-06, + "loss": 0.9423, + "step": 24732 + }, + { + "epoch": 0.58, + "grad_norm": 1.5157291511216215, + "learning_rate": 7.825299872103181e-06, + "loss": 0.853, + "step": 24733 + }, + { + "epoch": 0.58, + "grad_norm": 1.6357645392314166, + "learning_rate": 7.82455509923419e-06, + "loss": 0.9064, + "step": 24734 + }, + { + "epoch": 0.58, + "grad_norm": 1.9859976921930418, + "learning_rate": 7.823810339031332e-06, + "loss": 0.8972, + "step": 24735 + }, + { + "epoch": 0.58, + "grad_norm": 1.4926298035622785, + "learning_rate": 7.823065591498937e-06, + "loss": 0.7319, + "step": 24736 + }, + { + "epoch": 0.58, + "grad_norm": 1.838520664566594, + "learning_rate": 7.82232085664135e-06, + "loss": 0.7959, + "step": 24737 + }, + { + "epoch": 0.58, + "grad_norm": 1.5801907885342559, + "learning_rate": 7.821576134462893e-06, + "loss": 0.8304, + "step": 24738 + }, + { + "epoch": 0.58, + "grad_norm": 1.6999989097057906, + "learning_rate": 7.820831424967912e-06, + "loss": 0.7698, + "step": 24739 + }, + { + "epoch": 0.58, + "grad_norm": 1.6519158470635946, + "learning_rate": 7.820086728160743e-06, + "loss": 0.8677, + "step": 24740 + }, + { + "epoch": 0.58, + "grad_norm": 0.7738310010338529, + "learning_rate": 7.819342044045716e-06, + "loss": 0.687, + "step": 24741 + }, + { + "epoch": 0.58, + "grad_norm": 0.8277635844053356, + "learning_rate": 7.81859737262717e-06, + "loss": 0.7433, + "step": 24742 + }, + { + "epoch": 0.58, + "grad_norm": 1.9500022791694807, + "learning_rate": 7.817852713909442e-06, + "loss": 0.9088, + "step": 24743 + }, + { + "epoch": 0.58, + "grad_norm": 0.7677950993752126, + "learning_rate": 7.817108067896865e-06, + "loss": 0.6847, + "step": 24744 + }, + { + "epoch": 0.58, + "grad_norm": 1.5392687906713696, + "learning_rate": 7.816363434593776e-06, + "loss": 0.9384, + "step": 24745 + }, + { + "epoch": 0.58, + "grad_norm": 1.7327105989393699, + "learning_rate": 7.815618814004511e-06, + "loss": 1.0465, + "step": 24746 + }, + { + "epoch": 0.58, + "grad_norm": 1.695276644268223, + "learning_rate": 7.814874206133407e-06, + "loss": 0.9348, + "step": 24747 + }, + { + "epoch": 0.58, + "grad_norm": 1.510675749245645, + "learning_rate": 7.814129610984795e-06, + "loss": 0.9842, + "step": 24748 + }, + { + "epoch": 0.58, + "grad_norm": 1.726740151977503, + "learning_rate": 7.81338502856301e-06, + "loss": 0.8541, + "step": 24749 + }, + { + "epoch": 0.58, + "grad_norm": 1.540711907006517, + "learning_rate": 7.812640458872393e-06, + "loss": 0.9714, + "step": 24750 + }, + { + "epoch": 0.58, + "grad_norm": 1.5885932183678693, + "learning_rate": 7.811895901917277e-06, + "loss": 0.75, + "step": 24751 + }, + { + "epoch": 0.58, + "grad_norm": 1.590767103469473, + "learning_rate": 7.811151357701993e-06, + "loss": 0.9628, + "step": 24752 + }, + { + "epoch": 0.58, + "grad_norm": 1.5648228526029404, + "learning_rate": 7.810406826230877e-06, + "loss": 0.9251, + "step": 24753 + }, + { + "epoch": 0.58, + "grad_norm": 1.3610537411875026, + "learning_rate": 7.809662307508271e-06, + "loss": 0.8689, + "step": 24754 + }, + { + "epoch": 0.58, + "grad_norm": 1.5950898569444871, + "learning_rate": 7.808917801538502e-06, + "loss": 0.818, + "step": 24755 + }, + { + "epoch": 0.58, + "grad_norm": 1.4768234667755165, + "learning_rate": 7.808173308325905e-06, + "loss": 0.8141, + "step": 24756 + }, + { + "epoch": 0.58, + "grad_norm": 1.7380475506641042, + "learning_rate": 7.807428827874818e-06, + "loss": 0.9381, + "step": 24757 + }, + { + "epoch": 0.58, + "grad_norm": 1.6743666647092625, + "learning_rate": 7.806684360189579e-06, + "loss": 0.8658, + "step": 24758 + }, + { + "epoch": 0.58, + "grad_norm": 1.744345614218831, + "learning_rate": 7.805939905274514e-06, + "loss": 0.9574, + "step": 24759 + }, + { + "epoch": 0.58, + "grad_norm": 1.5344138186658627, + "learning_rate": 7.80519546313396e-06, + "loss": 0.9623, + "step": 24760 + }, + { + "epoch": 0.58, + "grad_norm": 1.6732724307215419, + "learning_rate": 7.804451033772258e-06, + "loss": 0.7522, + "step": 24761 + }, + { + "epoch": 0.58, + "grad_norm": 1.752094493407002, + "learning_rate": 7.803706617193731e-06, + "loss": 0.7547, + "step": 24762 + }, + { + "epoch": 0.58, + "grad_norm": 0.7726862158213232, + "learning_rate": 7.802962213402723e-06, + "loss": 0.7575, + "step": 24763 + }, + { + "epoch": 0.58, + "grad_norm": 1.468357510002145, + "learning_rate": 7.802217822403563e-06, + "loss": 0.965, + "step": 24764 + }, + { + "epoch": 0.58, + "grad_norm": 1.4323558892902724, + "learning_rate": 7.80147344420059e-06, + "loss": 0.9048, + "step": 24765 + }, + { + "epoch": 0.58, + "grad_norm": 1.722465539991634, + "learning_rate": 7.80072907879813e-06, + "loss": 0.8798, + "step": 24766 + }, + { + "epoch": 0.58, + "grad_norm": 1.6648274956214413, + "learning_rate": 7.799984726200524e-06, + "loss": 1.0145, + "step": 24767 + }, + { + "epoch": 0.58, + "grad_norm": 1.46277969706762, + "learning_rate": 7.799240386412106e-06, + "loss": 0.7837, + "step": 24768 + }, + { + "epoch": 0.58, + "grad_norm": 1.5933779572672622, + "learning_rate": 7.798496059437204e-06, + "loss": 0.8311, + "step": 24769 + }, + { + "epoch": 0.58, + "grad_norm": 1.7938241418016583, + "learning_rate": 7.797751745280153e-06, + "loss": 0.8362, + "step": 24770 + }, + { + "epoch": 0.58, + "grad_norm": 1.5691032803582514, + "learning_rate": 7.797007443945291e-06, + "loss": 0.8416, + "step": 24771 + }, + { + "epoch": 0.58, + "grad_norm": 1.7991729915651307, + "learning_rate": 7.796263155436952e-06, + "loss": 0.8471, + "step": 24772 + }, + { + "epoch": 0.58, + "grad_norm": 1.4736805116781138, + "learning_rate": 7.795518879759462e-06, + "loss": 0.9042, + "step": 24773 + }, + { + "epoch": 0.58, + "grad_norm": 1.4657880530073304, + "learning_rate": 7.79477461691716e-06, + "loss": 0.9158, + "step": 24774 + }, + { + "epoch": 0.58, + "grad_norm": 1.6056356585481748, + "learning_rate": 7.794030366914379e-06, + "loss": 0.7793, + "step": 24775 + }, + { + "epoch": 0.58, + "grad_norm": 1.6948513890974555, + "learning_rate": 7.793286129755453e-06, + "loss": 0.9044, + "step": 24776 + }, + { + "epoch": 0.58, + "grad_norm": 1.7544399802231754, + "learning_rate": 7.792541905444713e-06, + "loss": 1.0003, + "step": 24777 + }, + { + "epoch": 0.58, + "grad_norm": 1.7123569891814525, + "learning_rate": 7.79179769398649e-06, + "loss": 0.8945, + "step": 24778 + }, + { + "epoch": 0.58, + "grad_norm": 1.934174965780157, + "learning_rate": 7.791053495385124e-06, + "loss": 0.9156, + "step": 24779 + }, + { + "epoch": 0.58, + "grad_norm": 1.840908437549605, + "learning_rate": 7.790309309644942e-06, + "loss": 0.8027, + "step": 24780 + }, + { + "epoch": 0.58, + "grad_norm": 1.6844712895162195, + "learning_rate": 7.789565136770278e-06, + "loss": 0.8846, + "step": 24781 + }, + { + "epoch": 0.58, + "grad_norm": 1.81479317125429, + "learning_rate": 7.788820976765466e-06, + "loss": 0.8102, + "step": 24782 + }, + { + "epoch": 0.58, + "grad_norm": 1.5356246646375347, + "learning_rate": 7.788076829634842e-06, + "loss": 0.8508, + "step": 24783 + }, + { + "epoch": 0.58, + "grad_norm": 1.9056068152848618, + "learning_rate": 7.78733269538273e-06, + "loss": 0.8302, + "step": 24784 + }, + { + "epoch": 0.58, + "grad_norm": 0.7634929656790872, + "learning_rate": 7.786588574013467e-06, + "loss": 0.6976, + "step": 24785 + }, + { + "epoch": 0.58, + "grad_norm": 1.9008337397694324, + "learning_rate": 7.785844465531393e-06, + "loss": 0.7946, + "step": 24786 + }, + { + "epoch": 0.58, + "grad_norm": 1.6309424189843533, + "learning_rate": 7.785100369940826e-06, + "loss": 0.9087, + "step": 24787 + }, + { + "epoch": 0.58, + "grad_norm": 1.7216334296340958, + "learning_rate": 7.78435628724611e-06, + "loss": 0.939, + "step": 24788 + }, + { + "epoch": 0.58, + "grad_norm": 1.6816969450291717, + "learning_rate": 7.78361221745157e-06, + "loss": 0.8615, + "step": 24789 + }, + { + "epoch": 0.58, + "grad_norm": 1.7187642288059297, + "learning_rate": 7.782868160561548e-06, + "loss": 0.8946, + "step": 24790 + }, + { + "epoch": 0.58, + "grad_norm": 1.9060994280486858, + "learning_rate": 7.782124116580362e-06, + "loss": 0.7385, + "step": 24791 + }, + { + "epoch": 0.58, + "grad_norm": 1.564593053965685, + "learning_rate": 7.781380085512355e-06, + "loss": 0.9486, + "step": 24792 + }, + { + "epoch": 0.58, + "grad_norm": 1.7591557179637642, + "learning_rate": 7.780636067361857e-06, + "loss": 0.8265, + "step": 24793 + }, + { + "epoch": 0.58, + "grad_norm": 1.6992313384886018, + "learning_rate": 7.779892062133193e-06, + "loss": 0.821, + "step": 24794 + }, + { + "epoch": 0.58, + "grad_norm": 1.6987767192174053, + "learning_rate": 7.779148069830705e-06, + "loss": 0.7623, + "step": 24795 + }, + { + "epoch": 0.58, + "grad_norm": 2.9555956993702734, + "learning_rate": 7.778404090458718e-06, + "loss": 0.8464, + "step": 24796 + }, + { + "epoch": 0.58, + "grad_norm": 1.6013607677135797, + "learning_rate": 7.777660124021569e-06, + "loss": 0.7964, + "step": 24797 + }, + { + "epoch": 0.58, + "grad_norm": 2.2225454258085557, + "learning_rate": 7.77691617052358e-06, + "loss": 0.8983, + "step": 24798 + }, + { + "epoch": 0.58, + "grad_norm": 1.664388743302945, + "learning_rate": 7.776172229969095e-06, + "loss": 0.926, + "step": 24799 + }, + { + "epoch": 0.58, + "grad_norm": 1.6926793797608017, + "learning_rate": 7.775428302362437e-06, + "loss": 0.81, + "step": 24800 + }, + { + "epoch": 0.58, + "grad_norm": 1.4619227981577134, + "learning_rate": 7.77468438770794e-06, + "loss": 0.8242, + "step": 24801 + }, + { + "epoch": 0.58, + "grad_norm": 1.5187963990972508, + "learning_rate": 7.773940486009934e-06, + "loss": 0.8473, + "step": 24802 + }, + { + "epoch": 0.58, + "grad_norm": 1.4325073952345757, + "learning_rate": 7.773196597272751e-06, + "loss": 0.9122, + "step": 24803 + }, + { + "epoch": 0.58, + "grad_norm": 2.9318858322049812, + "learning_rate": 7.772452721500726e-06, + "loss": 0.7842, + "step": 24804 + }, + { + "epoch": 0.58, + "grad_norm": 1.4795776238260065, + "learning_rate": 7.771708858698184e-06, + "loss": 0.779, + "step": 24805 + }, + { + "epoch": 0.58, + "grad_norm": 1.461238515176431, + "learning_rate": 7.770965008869455e-06, + "loss": 0.6707, + "step": 24806 + }, + { + "epoch": 0.58, + "grad_norm": 1.700334331791672, + "learning_rate": 7.77022117201888e-06, + "loss": 0.896, + "step": 24807 + }, + { + "epoch": 0.58, + "grad_norm": 1.5797859922998905, + "learning_rate": 7.76947734815078e-06, + "loss": 0.8275, + "step": 24808 + }, + { + "epoch": 0.58, + "grad_norm": 1.7860586880563183, + "learning_rate": 7.768733537269488e-06, + "loss": 0.9606, + "step": 24809 + }, + { + "epoch": 0.58, + "grad_norm": 1.5690369520941885, + "learning_rate": 7.767989739379336e-06, + "loss": 0.8791, + "step": 24810 + }, + { + "epoch": 0.58, + "grad_norm": 1.829524952834316, + "learning_rate": 7.767245954484657e-06, + "loss": 0.9432, + "step": 24811 + }, + { + "epoch": 0.58, + "grad_norm": 1.7562237033627088, + "learning_rate": 7.766502182589776e-06, + "loss": 0.965, + "step": 24812 + }, + { + "epoch": 0.58, + "grad_norm": 0.7445870426010367, + "learning_rate": 7.765758423699027e-06, + "loss": 0.6752, + "step": 24813 + }, + { + "epoch": 0.58, + "grad_norm": 1.764101360476551, + "learning_rate": 7.765014677816745e-06, + "loss": 0.9077, + "step": 24814 + }, + { + "epoch": 0.58, + "grad_norm": 1.5509462902890048, + "learning_rate": 7.764270944947248e-06, + "loss": 0.8468, + "step": 24815 + }, + { + "epoch": 0.58, + "grad_norm": 1.636067444877857, + "learning_rate": 7.763527225094876e-06, + "loss": 0.9368, + "step": 24816 + }, + { + "epoch": 0.58, + "grad_norm": 2.752639094709337, + "learning_rate": 7.762783518263953e-06, + "loss": 0.8153, + "step": 24817 + }, + { + "epoch": 0.58, + "grad_norm": 0.7583726347951797, + "learning_rate": 7.76203982445882e-06, + "loss": 0.7122, + "step": 24818 + }, + { + "epoch": 0.58, + "grad_norm": 1.757786125624338, + "learning_rate": 7.761296143683793e-06, + "loss": 0.8829, + "step": 24819 + }, + { + "epoch": 0.58, + "grad_norm": 3.7929148256137526, + "learning_rate": 7.760552475943212e-06, + "loss": 0.7952, + "step": 24820 + }, + { + "epoch": 0.58, + "grad_norm": 1.5711722437596174, + "learning_rate": 7.759808821241406e-06, + "loss": 0.8076, + "step": 24821 + }, + { + "epoch": 0.58, + "grad_norm": 1.578340473895687, + "learning_rate": 7.759065179582698e-06, + "loss": 0.7594, + "step": 24822 + }, + { + "epoch": 0.58, + "grad_norm": 1.688273915282926, + "learning_rate": 7.758321550971421e-06, + "loss": 0.8227, + "step": 24823 + }, + { + "epoch": 0.58, + "grad_norm": 1.644571084940423, + "learning_rate": 7.757577935411908e-06, + "loss": 0.9302, + "step": 24824 + }, + { + "epoch": 0.58, + "grad_norm": 1.7633771678354624, + "learning_rate": 7.75683433290849e-06, + "loss": 1.0136, + "step": 24825 + }, + { + "epoch": 0.58, + "grad_norm": 1.8497542414371035, + "learning_rate": 7.756090743465488e-06, + "loss": 0.6328, + "step": 24826 + }, + { + "epoch": 0.58, + "grad_norm": 1.6301438185902166, + "learning_rate": 7.755347167087234e-06, + "loss": 0.9033, + "step": 24827 + }, + { + "epoch": 0.58, + "grad_norm": 1.6048285080641935, + "learning_rate": 7.754603603778063e-06, + "loss": 0.7915, + "step": 24828 + }, + { + "epoch": 0.58, + "grad_norm": 1.530887518110084, + "learning_rate": 7.753860053542302e-06, + "loss": 0.864, + "step": 24829 + }, + { + "epoch": 0.58, + "grad_norm": 1.7414698119163934, + "learning_rate": 7.753116516384274e-06, + "loss": 0.8017, + "step": 24830 + }, + { + "epoch": 0.58, + "grad_norm": 2.0003459605470386, + "learning_rate": 7.752372992308316e-06, + "loss": 0.7712, + "step": 24831 + }, + { + "epoch": 0.59, + "grad_norm": 1.5999748033233658, + "learning_rate": 7.751629481318756e-06, + "loss": 0.867, + "step": 24832 + }, + { + "epoch": 0.59, + "grad_norm": 1.7747577189359585, + "learning_rate": 7.750885983419919e-06, + "loss": 0.8168, + "step": 24833 + }, + { + "epoch": 0.59, + "grad_norm": 1.8698286585302584, + "learning_rate": 7.750142498616133e-06, + "loss": 0.7695, + "step": 24834 + }, + { + "epoch": 0.59, + "grad_norm": 1.7536778983195747, + "learning_rate": 7.749399026911736e-06, + "loss": 0.7677, + "step": 24835 + }, + { + "epoch": 0.59, + "grad_norm": 0.7204714428297287, + "learning_rate": 7.748655568311045e-06, + "loss": 0.7058, + "step": 24836 + }, + { + "epoch": 0.59, + "grad_norm": 1.4941271181758284, + "learning_rate": 7.747912122818395e-06, + "loss": 0.7433, + "step": 24837 + }, + { + "epoch": 0.59, + "grad_norm": 0.741742308242689, + "learning_rate": 7.747168690438112e-06, + "loss": 0.7008, + "step": 24838 + }, + { + "epoch": 0.59, + "grad_norm": 0.8241022954306452, + "learning_rate": 7.746425271174533e-06, + "loss": 0.6888, + "step": 24839 + }, + { + "epoch": 0.59, + "grad_norm": 1.9912319829878884, + "learning_rate": 7.745681865031973e-06, + "loss": 0.8913, + "step": 24840 + }, + { + "epoch": 0.59, + "grad_norm": 1.5695516958405926, + "learning_rate": 7.74493847201477e-06, + "loss": 0.9988, + "step": 24841 + }, + { + "epoch": 0.59, + "grad_norm": 1.502121425368308, + "learning_rate": 7.74419509212725e-06, + "loss": 0.884, + "step": 24842 + }, + { + "epoch": 0.59, + "grad_norm": 1.763015899818654, + "learning_rate": 7.743451725373734e-06, + "loss": 0.8332, + "step": 24843 + }, + { + "epoch": 0.59, + "grad_norm": 1.5703917521426431, + "learning_rate": 7.742708371758562e-06, + "loss": 0.7188, + "step": 24844 + }, + { + "epoch": 0.59, + "grad_norm": 1.5363285915816938, + "learning_rate": 7.741965031286055e-06, + "loss": 0.8784, + "step": 24845 + }, + { + "epoch": 0.59, + "grad_norm": 0.7696220706975695, + "learning_rate": 7.741221703960547e-06, + "loss": 0.6689, + "step": 24846 + }, + { + "epoch": 0.59, + "grad_norm": 1.4412849317144676, + "learning_rate": 7.740478389786354e-06, + "loss": 0.8565, + "step": 24847 + }, + { + "epoch": 0.59, + "grad_norm": 1.7959725039324541, + "learning_rate": 7.739735088767815e-06, + "loss": 0.7738, + "step": 24848 + }, + { + "epoch": 0.59, + "grad_norm": 0.8032793670710651, + "learning_rate": 7.738991800909254e-06, + "loss": 0.7127, + "step": 24849 + }, + { + "epoch": 0.59, + "grad_norm": 1.5786629408908244, + "learning_rate": 7.738248526214998e-06, + "loss": 0.823, + "step": 24850 + }, + { + "epoch": 0.59, + "grad_norm": 1.762098369524249, + "learning_rate": 7.737505264689374e-06, + "loss": 0.9018, + "step": 24851 + }, + { + "epoch": 0.59, + "grad_norm": 1.561195374485899, + "learning_rate": 7.73676201633671e-06, + "loss": 0.8895, + "step": 24852 + }, + { + "epoch": 0.59, + "grad_norm": 1.503450391468733, + "learning_rate": 7.736018781161339e-06, + "loss": 0.805, + "step": 24853 + }, + { + "epoch": 0.59, + "grad_norm": 1.8459191397439014, + "learning_rate": 7.73527555916758e-06, + "loss": 0.7942, + "step": 24854 + }, + { + "epoch": 0.59, + "grad_norm": 0.8066004392294089, + "learning_rate": 7.734532350359762e-06, + "loss": 0.6957, + "step": 24855 + }, + { + "epoch": 0.59, + "grad_norm": 1.6589618581828454, + "learning_rate": 7.733789154742217e-06, + "loss": 0.8925, + "step": 24856 + }, + { + "epoch": 0.59, + "grad_norm": 1.6299400059565996, + "learning_rate": 7.733045972319268e-06, + "loss": 0.8562, + "step": 24857 + }, + { + "epoch": 0.59, + "grad_norm": 1.609541885618568, + "learning_rate": 7.732302803095242e-06, + "loss": 0.8477, + "step": 24858 + }, + { + "epoch": 0.59, + "grad_norm": 1.430299486266131, + "learning_rate": 7.731559647074466e-06, + "loss": 0.832, + "step": 24859 + }, + { + "epoch": 0.59, + "grad_norm": 1.691360365691107, + "learning_rate": 7.730816504261271e-06, + "loss": 0.8902, + "step": 24860 + }, + { + "epoch": 0.59, + "grad_norm": 1.5040971303923931, + "learning_rate": 7.73007337465998e-06, + "loss": 0.8576, + "step": 24861 + }, + { + "epoch": 0.59, + "grad_norm": 1.6749315228758295, + "learning_rate": 7.729330258274919e-06, + "loss": 0.7819, + "step": 24862 + }, + { + "epoch": 0.59, + "grad_norm": 0.7532390953585236, + "learning_rate": 7.72858715511042e-06, + "loss": 0.7395, + "step": 24863 + }, + { + "epoch": 0.59, + "grad_norm": 1.6758636960794029, + "learning_rate": 7.7278440651708e-06, + "loss": 0.8376, + "step": 24864 + }, + { + "epoch": 0.59, + "grad_norm": 1.749873085816927, + "learning_rate": 7.727100988460394e-06, + "loss": 0.9157, + "step": 24865 + }, + { + "epoch": 0.59, + "grad_norm": 1.4505010593621053, + "learning_rate": 7.726357924983524e-06, + "loss": 0.8767, + "step": 24866 + }, + { + "epoch": 0.59, + "grad_norm": 0.7750701793524585, + "learning_rate": 7.725614874744524e-06, + "loss": 0.7185, + "step": 24867 + }, + { + "epoch": 0.59, + "grad_norm": 1.4980067427600177, + "learning_rate": 7.724871837747708e-06, + "loss": 0.8062, + "step": 24868 + }, + { + "epoch": 0.59, + "grad_norm": 1.536326699402633, + "learning_rate": 7.72412881399741e-06, + "loss": 0.761, + "step": 24869 + }, + { + "epoch": 0.59, + "grad_norm": 1.4661027869962717, + "learning_rate": 7.723385803497956e-06, + "loss": 0.8733, + "step": 24870 + }, + { + "epoch": 0.59, + "grad_norm": 1.7371117232806819, + "learning_rate": 7.72264280625367e-06, + "loss": 0.8366, + "step": 24871 + }, + { + "epoch": 0.59, + "grad_norm": 1.5089165111757896, + "learning_rate": 7.721899822268875e-06, + "loss": 0.859, + "step": 24872 + }, + { + "epoch": 0.59, + "grad_norm": 1.9151198542382777, + "learning_rate": 7.721156851547903e-06, + "loss": 0.8258, + "step": 24873 + }, + { + "epoch": 0.59, + "grad_norm": 0.8120373668364805, + "learning_rate": 7.72041389409508e-06, + "loss": 0.7482, + "step": 24874 + }, + { + "epoch": 0.59, + "grad_norm": 1.5351110539990498, + "learning_rate": 7.719670949914729e-06, + "loss": 0.8732, + "step": 24875 + }, + { + "epoch": 0.59, + "grad_norm": 1.8483549250876627, + "learning_rate": 7.71892801901117e-06, + "loss": 0.7995, + "step": 24876 + }, + { + "epoch": 0.59, + "grad_norm": 1.7159800365747166, + "learning_rate": 7.71818510138874e-06, + "loss": 1.0061, + "step": 24877 + }, + { + "epoch": 0.59, + "grad_norm": 1.5438827057691131, + "learning_rate": 7.717442197051756e-06, + "loss": 0.9104, + "step": 24878 + }, + { + "epoch": 0.59, + "grad_norm": 1.4486333739897888, + "learning_rate": 7.716699306004544e-06, + "loss": 0.8928, + "step": 24879 + }, + { + "epoch": 0.59, + "grad_norm": 1.7283043806728446, + "learning_rate": 7.715956428251433e-06, + "loss": 0.8868, + "step": 24880 + }, + { + "epoch": 0.59, + "grad_norm": 0.773957539927401, + "learning_rate": 7.715213563796752e-06, + "loss": 0.7077, + "step": 24881 + }, + { + "epoch": 0.59, + "grad_norm": 1.5281170992719235, + "learning_rate": 7.714470712644817e-06, + "loss": 0.7765, + "step": 24882 + }, + { + "epoch": 0.59, + "grad_norm": 1.7206899048115254, + "learning_rate": 7.713727874799954e-06, + "loss": 0.7788, + "step": 24883 + }, + { + "epoch": 0.59, + "grad_norm": 1.5764767347236028, + "learning_rate": 7.712985050266499e-06, + "loss": 0.9076, + "step": 24884 + }, + { + "epoch": 0.59, + "grad_norm": 1.6497310722648104, + "learning_rate": 7.712242239048761e-06, + "loss": 0.7324, + "step": 24885 + }, + { + "epoch": 0.59, + "grad_norm": 2.078450895038759, + "learning_rate": 7.711499441151077e-06, + "loss": 0.865, + "step": 24886 + }, + { + "epoch": 0.59, + "grad_norm": 1.4957863438986911, + "learning_rate": 7.710756656577764e-06, + "loss": 0.8461, + "step": 24887 + }, + { + "epoch": 0.59, + "grad_norm": 0.8128175151246675, + "learning_rate": 7.710013885333158e-06, + "loss": 0.7241, + "step": 24888 + }, + { + "epoch": 0.59, + "grad_norm": 1.5986845300711883, + "learning_rate": 7.70927112742157e-06, + "loss": 0.8228, + "step": 24889 + }, + { + "epoch": 0.59, + "grad_norm": 1.5819443506640105, + "learning_rate": 7.708528382847333e-06, + "loss": 0.8351, + "step": 24890 + }, + { + "epoch": 0.59, + "grad_norm": 1.9801540661720451, + "learning_rate": 7.70778565161477e-06, + "loss": 1.0024, + "step": 24891 + }, + { + "epoch": 0.59, + "grad_norm": 1.8353979086611132, + "learning_rate": 7.707042933728202e-06, + "loss": 0.9802, + "step": 24892 + }, + { + "epoch": 0.59, + "grad_norm": 1.4622359461561674, + "learning_rate": 7.706300229191956e-06, + "loss": 0.8714, + "step": 24893 + }, + { + "epoch": 0.59, + "grad_norm": 1.5094741307834332, + "learning_rate": 7.705557538010358e-06, + "loss": 0.8714, + "step": 24894 + }, + { + "epoch": 0.59, + "grad_norm": 1.7182835960052383, + "learning_rate": 7.704814860187731e-06, + "loss": 0.8711, + "step": 24895 + }, + { + "epoch": 0.59, + "grad_norm": 1.5657224825113545, + "learning_rate": 7.704072195728396e-06, + "loss": 0.7578, + "step": 24896 + }, + { + "epoch": 0.59, + "grad_norm": 1.6080313379901647, + "learning_rate": 7.70332954463668e-06, + "loss": 0.9078, + "step": 24897 + }, + { + "epoch": 0.59, + "grad_norm": 1.5183295218505282, + "learning_rate": 7.702586906916911e-06, + "loss": 0.7717, + "step": 24898 + }, + { + "epoch": 0.59, + "grad_norm": 1.5466493116586244, + "learning_rate": 7.701844282573405e-06, + "loss": 0.8954, + "step": 24899 + }, + { + "epoch": 0.59, + "grad_norm": 1.7649552696535014, + "learning_rate": 7.701101671610485e-06, + "loss": 0.8453, + "step": 24900 + }, + { + "epoch": 0.59, + "grad_norm": 1.4917819123517877, + "learning_rate": 7.700359074032483e-06, + "loss": 0.7872, + "step": 24901 + }, + { + "epoch": 0.59, + "grad_norm": 1.4934276760508365, + "learning_rate": 7.699616489843723e-06, + "loss": 0.8291, + "step": 24902 + }, + { + "epoch": 0.59, + "grad_norm": 3.0788493768396945, + "learning_rate": 7.698873919048518e-06, + "loss": 0.8088, + "step": 24903 + }, + { + "epoch": 0.59, + "grad_norm": 1.5218735294841637, + "learning_rate": 7.698131361651196e-06, + "loss": 0.7541, + "step": 24904 + }, + { + "epoch": 0.59, + "grad_norm": 1.5386345964840669, + "learning_rate": 7.697388817656087e-06, + "loss": 0.8408, + "step": 24905 + }, + { + "epoch": 0.59, + "grad_norm": 1.6669916680281556, + "learning_rate": 7.696646287067509e-06, + "loss": 0.8367, + "step": 24906 + }, + { + "epoch": 0.59, + "grad_norm": 1.7563475250601222, + "learning_rate": 7.695903769889783e-06, + "loss": 0.8862, + "step": 24907 + }, + { + "epoch": 0.59, + "grad_norm": 1.4943849088280492, + "learning_rate": 7.695161266127234e-06, + "loss": 0.8146, + "step": 24908 + }, + { + "epoch": 0.59, + "grad_norm": 0.7074423609102978, + "learning_rate": 7.69441877578419e-06, + "loss": 0.6964, + "step": 24909 + }, + { + "epoch": 0.59, + "grad_norm": 1.6209043505809633, + "learning_rate": 7.693676298864967e-06, + "loss": 0.882, + "step": 24910 + }, + { + "epoch": 0.59, + "grad_norm": 1.8009119334196242, + "learning_rate": 7.69293383537389e-06, + "loss": 0.9581, + "step": 24911 + }, + { + "epoch": 0.59, + "grad_norm": 1.6731106047242932, + "learning_rate": 7.692191385315282e-06, + "loss": 0.8275, + "step": 24912 + }, + { + "epoch": 0.59, + "grad_norm": 1.6251937228194933, + "learning_rate": 7.691448948693469e-06, + "loss": 0.829, + "step": 24913 + }, + { + "epoch": 0.59, + "grad_norm": 1.5161678757221118, + "learning_rate": 7.690706525512771e-06, + "loss": 0.7299, + "step": 24914 + }, + { + "epoch": 0.59, + "grad_norm": 4.4986826140229, + "learning_rate": 7.689964115777507e-06, + "loss": 0.8593, + "step": 24915 + }, + { + "epoch": 0.59, + "grad_norm": 1.7285259529050376, + "learning_rate": 7.68922171949201e-06, + "loss": 0.8407, + "step": 24916 + }, + { + "epoch": 0.59, + "grad_norm": 1.6068524015697325, + "learning_rate": 7.68847933666059e-06, + "loss": 0.9796, + "step": 24917 + }, + { + "epoch": 0.59, + "grad_norm": 1.4553656500003775, + "learning_rate": 7.687736967287578e-06, + "loss": 0.9249, + "step": 24918 + }, + { + "epoch": 0.59, + "grad_norm": 1.3311669312358851, + "learning_rate": 7.68699461137729e-06, + "loss": 0.8484, + "step": 24919 + }, + { + "epoch": 0.59, + "grad_norm": 1.5515159204738358, + "learning_rate": 7.686252268934058e-06, + "loss": 0.711, + "step": 24920 + }, + { + "epoch": 0.59, + "grad_norm": 1.9131347964981398, + "learning_rate": 7.685509939962191e-06, + "loss": 0.8708, + "step": 24921 + }, + { + "epoch": 0.59, + "grad_norm": 1.491199156890132, + "learning_rate": 7.68476762446602e-06, + "loss": 0.8253, + "step": 24922 + }, + { + "epoch": 0.59, + "grad_norm": 2.422478523722931, + "learning_rate": 7.684025322449869e-06, + "loss": 0.9816, + "step": 24923 + }, + { + "epoch": 0.59, + "grad_norm": 1.5782506988661298, + "learning_rate": 7.683283033918052e-06, + "loss": 0.8144, + "step": 24924 + }, + { + "epoch": 0.59, + "grad_norm": 1.6843862643631295, + "learning_rate": 7.682540758874894e-06, + "loss": 0.9359, + "step": 24925 + }, + { + "epoch": 0.59, + "grad_norm": 1.6438692796063754, + "learning_rate": 7.681798497324717e-06, + "loss": 0.7871, + "step": 24926 + }, + { + "epoch": 0.59, + "grad_norm": 1.5490411334633183, + "learning_rate": 7.681056249271848e-06, + "loss": 0.8036, + "step": 24927 + }, + { + "epoch": 0.59, + "grad_norm": 1.8002412483115324, + "learning_rate": 7.680314014720597e-06, + "loss": 0.7946, + "step": 24928 + }, + { + "epoch": 0.59, + "grad_norm": 1.4456986144134834, + "learning_rate": 7.679571793675295e-06, + "loss": 0.9528, + "step": 24929 + }, + { + "epoch": 0.59, + "grad_norm": 1.6526457605001608, + "learning_rate": 7.678829586140263e-06, + "loss": 0.8572, + "step": 24930 + }, + { + "epoch": 0.59, + "grad_norm": 1.672293616013316, + "learning_rate": 7.678087392119818e-06, + "loss": 0.8135, + "step": 24931 + }, + { + "epoch": 0.59, + "grad_norm": 1.6980702160506955, + "learning_rate": 7.677345211618281e-06, + "loss": 0.7902, + "step": 24932 + }, + { + "epoch": 0.59, + "grad_norm": 1.4620079693291663, + "learning_rate": 7.676603044639978e-06, + "loss": 0.8613, + "step": 24933 + }, + { + "epoch": 0.59, + "grad_norm": 1.531214557482027, + "learning_rate": 7.67586089118923e-06, + "loss": 0.9285, + "step": 24934 + }, + { + "epoch": 0.59, + "grad_norm": 1.79063491599577, + "learning_rate": 7.675118751270355e-06, + "loss": 0.6738, + "step": 24935 + }, + { + "epoch": 0.59, + "grad_norm": 0.8518306201807865, + "learning_rate": 7.674376624887669e-06, + "loss": 0.7711, + "step": 24936 + }, + { + "epoch": 0.59, + "grad_norm": 1.6847271174725384, + "learning_rate": 7.673634512045506e-06, + "loss": 0.9065, + "step": 24937 + }, + { + "epoch": 0.59, + "grad_norm": 1.4988639672358335, + "learning_rate": 7.672892412748175e-06, + "loss": 0.911, + "step": 24938 + }, + { + "epoch": 0.59, + "grad_norm": 2.0275616631915865, + "learning_rate": 7.672150327000002e-06, + "loss": 1.002, + "step": 24939 + }, + { + "epoch": 0.59, + "grad_norm": 1.914274833586084, + "learning_rate": 7.671408254805304e-06, + "loss": 0.7889, + "step": 24940 + }, + { + "epoch": 0.59, + "grad_norm": 1.9880415339627382, + "learning_rate": 7.67066619616841e-06, + "loss": 0.8485, + "step": 24941 + }, + { + "epoch": 0.59, + "grad_norm": 1.578596880300598, + "learning_rate": 7.669924151093632e-06, + "loss": 0.777, + "step": 24942 + }, + { + "epoch": 0.59, + "grad_norm": 1.5209314026018053, + "learning_rate": 7.669182119585292e-06, + "loss": 0.7327, + "step": 24943 + }, + { + "epoch": 0.59, + "grad_norm": 1.9208307608850557, + "learning_rate": 7.668440101647717e-06, + "loss": 0.8731, + "step": 24944 + }, + { + "epoch": 0.59, + "grad_norm": 1.4748060973895354, + "learning_rate": 7.667698097285214e-06, + "loss": 0.887, + "step": 24945 + }, + { + "epoch": 0.59, + "grad_norm": 1.7364694316884595, + "learning_rate": 7.666956106502115e-06, + "loss": 0.9513, + "step": 24946 + }, + { + "epoch": 0.59, + "grad_norm": 1.613517045484178, + "learning_rate": 7.666214129302737e-06, + "loss": 0.7978, + "step": 24947 + }, + { + "epoch": 0.59, + "grad_norm": 1.6793063263539534, + "learning_rate": 7.6654721656914e-06, + "loss": 0.946, + "step": 24948 + }, + { + "epoch": 0.59, + "grad_norm": 1.5711805129504914, + "learning_rate": 7.664730215672418e-06, + "loss": 0.927, + "step": 24949 + }, + { + "epoch": 0.59, + "grad_norm": 1.873614623665094, + "learning_rate": 7.66398827925012e-06, + "loss": 0.8317, + "step": 24950 + }, + { + "epoch": 0.59, + "grad_norm": 2.108289283261523, + "learning_rate": 7.663246356428824e-06, + "loss": 0.8699, + "step": 24951 + }, + { + "epoch": 0.59, + "grad_norm": 1.6438543041433962, + "learning_rate": 7.662504447212845e-06, + "loss": 0.8608, + "step": 24952 + }, + { + "epoch": 0.59, + "grad_norm": 2.0014789731418516, + "learning_rate": 7.661762551606501e-06, + "loss": 0.8847, + "step": 24953 + }, + { + "epoch": 0.59, + "grad_norm": 2.1423954813844155, + "learning_rate": 7.66102066961412e-06, + "loss": 0.9397, + "step": 24954 + }, + { + "epoch": 0.59, + "grad_norm": 0.7594573054708071, + "learning_rate": 7.66027880124002e-06, + "loss": 0.6831, + "step": 24955 + }, + { + "epoch": 0.59, + "grad_norm": 2.147262048488461, + "learning_rate": 7.659536946488514e-06, + "loss": 0.8764, + "step": 24956 + }, + { + "epoch": 0.59, + "grad_norm": 1.740206319834211, + "learning_rate": 7.658795105363922e-06, + "loss": 0.8885, + "step": 24957 + }, + { + "epoch": 0.59, + "grad_norm": 1.6776208924531224, + "learning_rate": 7.658053277870571e-06, + "loss": 0.8783, + "step": 24958 + }, + { + "epoch": 0.59, + "grad_norm": 2.145752267363323, + "learning_rate": 7.657311464012774e-06, + "loss": 0.8128, + "step": 24959 + }, + { + "epoch": 0.59, + "grad_norm": 1.5603782080898676, + "learning_rate": 7.656569663794851e-06, + "loss": 0.8818, + "step": 24960 + }, + { + "epoch": 0.59, + "grad_norm": 1.5509357593308524, + "learning_rate": 7.65582787722112e-06, + "loss": 0.9257, + "step": 24961 + }, + { + "epoch": 0.59, + "grad_norm": 1.6063427518800117, + "learning_rate": 7.655086104295904e-06, + "loss": 0.8435, + "step": 24962 + }, + { + "epoch": 0.59, + "grad_norm": 1.54041459026855, + "learning_rate": 7.654344345023517e-06, + "loss": 0.8449, + "step": 24963 + }, + { + "epoch": 0.59, + "grad_norm": 1.5998451108113583, + "learning_rate": 7.653602599408279e-06, + "loss": 0.9161, + "step": 24964 + }, + { + "epoch": 0.59, + "grad_norm": 1.5446104664450129, + "learning_rate": 7.652860867454515e-06, + "loss": 0.7919, + "step": 24965 + }, + { + "epoch": 0.59, + "grad_norm": 1.5480633326611168, + "learning_rate": 7.652119149166533e-06, + "loss": 0.8787, + "step": 24966 + }, + { + "epoch": 0.59, + "grad_norm": 1.610484276857595, + "learning_rate": 7.651377444548657e-06, + "loss": 0.839, + "step": 24967 + }, + { + "epoch": 0.59, + "grad_norm": 2.8199187832412265, + "learning_rate": 7.650635753605203e-06, + "loss": 0.7896, + "step": 24968 + }, + { + "epoch": 0.59, + "grad_norm": 2.023130249594112, + "learning_rate": 7.649894076340499e-06, + "loss": 0.8734, + "step": 24969 + }, + { + "epoch": 0.59, + "grad_norm": 1.542041650106225, + "learning_rate": 7.649152412758848e-06, + "loss": 1.0078, + "step": 24970 + }, + { + "epoch": 0.59, + "grad_norm": 1.4939850997194626, + "learning_rate": 7.64841076286458e-06, + "loss": 0.8718, + "step": 24971 + }, + { + "epoch": 0.59, + "grad_norm": 1.4700710332756965, + "learning_rate": 7.64766912666201e-06, + "loss": 0.9478, + "step": 24972 + }, + { + "epoch": 0.59, + "grad_norm": 1.545626172396737, + "learning_rate": 7.646927504155452e-06, + "loss": 0.8729, + "step": 24973 + }, + { + "epoch": 0.59, + "grad_norm": 1.469658383106088, + "learning_rate": 7.646185895349227e-06, + "loss": 0.8927, + "step": 24974 + }, + { + "epoch": 0.59, + "grad_norm": 1.5703761547097466, + "learning_rate": 7.645444300247654e-06, + "loss": 0.7688, + "step": 24975 + }, + { + "epoch": 0.59, + "grad_norm": 1.5771918218878394, + "learning_rate": 7.64470271885505e-06, + "loss": 0.8099, + "step": 24976 + }, + { + "epoch": 0.59, + "grad_norm": 0.8111201245539307, + "learning_rate": 7.64396115117573e-06, + "loss": 0.7056, + "step": 24977 + }, + { + "epoch": 0.59, + "grad_norm": 1.5676812724837892, + "learning_rate": 7.643219597214017e-06, + "loss": 0.918, + "step": 24978 + }, + { + "epoch": 0.59, + "grad_norm": 2.5773408552280666, + "learning_rate": 7.642478056974228e-06, + "loss": 0.9712, + "step": 24979 + }, + { + "epoch": 0.59, + "grad_norm": 2.40137841916793, + "learning_rate": 7.641736530460673e-06, + "loss": 0.8851, + "step": 24980 + }, + { + "epoch": 0.59, + "grad_norm": 1.5978498993656158, + "learning_rate": 7.640995017677674e-06, + "loss": 0.7755, + "step": 24981 + }, + { + "epoch": 0.59, + "grad_norm": 1.6145508454808264, + "learning_rate": 7.640253518629553e-06, + "loss": 0.8366, + "step": 24982 + }, + { + "epoch": 0.59, + "grad_norm": 1.5891933869413886, + "learning_rate": 7.639512033320623e-06, + "loss": 0.8668, + "step": 24983 + }, + { + "epoch": 0.59, + "grad_norm": 0.7518162564669953, + "learning_rate": 7.6387705617552e-06, + "loss": 0.6834, + "step": 24984 + }, + { + "epoch": 0.59, + "grad_norm": 1.8323641123852326, + "learning_rate": 7.6380291039376e-06, + "loss": 0.9315, + "step": 24985 + }, + { + "epoch": 0.59, + "grad_norm": 1.6783855797278269, + "learning_rate": 7.637287659872147e-06, + "loss": 0.8512, + "step": 24986 + }, + { + "epoch": 0.59, + "grad_norm": 1.6090955620776324, + "learning_rate": 7.63654622956315e-06, + "loss": 0.8822, + "step": 24987 + }, + { + "epoch": 0.59, + "grad_norm": 1.7319624724889613, + "learning_rate": 7.63580481301493e-06, + "loss": 0.8687, + "step": 24988 + }, + { + "epoch": 0.59, + "grad_norm": 1.6056405519395085, + "learning_rate": 7.6350634102318e-06, + "loss": 0.95, + "step": 24989 + }, + { + "epoch": 0.59, + "grad_norm": 1.700214339284849, + "learning_rate": 7.634322021218085e-06, + "loss": 0.7532, + "step": 24990 + }, + { + "epoch": 0.59, + "grad_norm": 1.7226791052223924, + "learning_rate": 7.633580645978093e-06, + "loss": 0.9625, + "step": 24991 + }, + { + "epoch": 0.59, + "grad_norm": 0.7571122309285647, + "learning_rate": 7.632839284516144e-06, + "loss": 0.7343, + "step": 24992 + }, + { + "epoch": 0.59, + "grad_norm": 1.8584626129290736, + "learning_rate": 7.632097936836555e-06, + "loss": 0.8126, + "step": 24993 + }, + { + "epoch": 0.59, + "grad_norm": 1.4705197922058018, + "learning_rate": 7.63135660294364e-06, + "loss": 0.7804, + "step": 24994 + }, + { + "epoch": 0.59, + "grad_norm": 1.6481560734447356, + "learning_rate": 7.630615282841717e-06, + "loss": 0.8707, + "step": 24995 + }, + { + "epoch": 0.59, + "grad_norm": 1.824042977453474, + "learning_rate": 7.629873976535102e-06, + "loss": 0.7543, + "step": 24996 + }, + { + "epoch": 0.59, + "grad_norm": 0.7340961609013464, + "learning_rate": 7.629132684028113e-06, + "loss": 0.6795, + "step": 24997 + }, + { + "epoch": 0.59, + "grad_norm": 1.541123253367524, + "learning_rate": 7.6283914053250605e-06, + "loss": 0.8629, + "step": 24998 + }, + { + "epoch": 0.59, + "grad_norm": 1.719609114560205, + "learning_rate": 7.627650140430267e-06, + "loss": 0.8025, + "step": 24999 + }, + { + "epoch": 0.59, + "grad_norm": 1.9136992656044411, + "learning_rate": 7.626908889348046e-06, + "loss": 0.8301, + "step": 25000 + }, + { + "epoch": 0.59, + "grad_norm": 2.545788105128429, + "learning_rate": 7.626167652082712e-06, + "loss": 0.9151, + "step": 25001 + }, + { + "epoch": 0.59, + "grad_norm": 1.6584702284603394, + "learning_rate": 7.625426428638579e-06, + "loss": 0.8431, + "step": 25002 + }, + { + "epoch": 0.59, + "grad_norm": 1.581570471205462, + "learning_rate": 7.624685219019966e-06, + "loss": 0.8406, + "step": 25003 + }, + { + "epoch": 0.59, + "grad_norm": 1.7390956094029428, + "learning_rate": 7.623944023231191e-06, + "loss": 0.8616, + "step": 25004 + }, + { + "epoch": 0.59, + "grad_norm": 1.7443682466095856, + "learning_rate": 7.623202841276564e-06, + "loss": 0.7269, + "step": 25005 + }, + { + "epoch": 0.59, + "grad_norm": 1.9936659065561169, + "learning_rate": 7.6224616731604e-06, + "loss": 0.8169, + "step": 25006 + }, + { + "epoch": 0.59, + "grad_norm": 1.6046867137684029, + "learning_rate": 7.621720518887022e-06, + "loss": 0.8591, + "step": 25007 + }, + { + "epoch": 0.59, + "grad_norm": 1.5934933853260236, + "learning_rate": 7.620979378460736e-06, + "loss": 0.8084, + "step": 25008 + }, + { + "epoch": 0.59, + "grad_norm": 1.8684631875657027, + "learning_rate": 7.620238251885863e-06, + "loss": 0.8818, + "step": 25009 + }, + { + "epoch": 0.59, + "grad_norm": 0.7901821404955415, + "learning_rate": 7.6194971391667126e-06, + "loss": 0.7762, + "step": 25010 + }, + { + "epoch": 0.59, + "grad_norm": 1.5451816281583035, + "learning_rate": 7.618756040307609e-06, + "loss": 0.8444, + "step": 25011 + }, + { + "epoch": 0.59, + "grad_norm": 0.7701950600946178, + "learning_rate": 7.61801495531286e-06, + "loss": 0.6419, + "step": 25012 + }, + { + "epoch": 0.59, + "grad_norm": 1.3911374514138832, + "learning_rate": 7.617273884186779e-06, + "loss": 0.8488, + "step": 25013 + }, + { + "epoch": 0.59, + "grad_norm": 1.6637417948830158, + "learning_rate": 7.6165328269336905e-06, + "loss": 0.8636, + "step": 25014 + }, + { + "epoch": 0.59, + "grad_norm": 1.854215592878207, + "learning_rate": 7.615791783557895e-06, + "loss": 0.7628, + "step": 25015 + }, + { + "epoch": 0.59, + "grad_norm": 1.8517641141518402, + "learning_rate": 7.615050754063717e-06, + "loss": 0.8359, + "step": 25016 + }, + { + "epoch": 0.59, + "grad_norm": 0.7379363094794957, + "learning_rate": 7.614309738455468e-06, + "loss": 0.7151, + "step": 25017 + }, + { + "epoch": 0.59, + "grad_norm": 1.4099769772845379, + "learning_rate": 7.613568736737469e-06, + "loss": 0.8001, + "step": 25018 + }, + { + "epoch": 0.59, + "grad_norm": 1.8148881846314726, + "learning_rate": 7.612827748914021e-06, + "loss": 0.8381, + "step": 25019 + }, + { + "epoch": 0.59, + "grad_norm": 1.4370907396984143, + "learning_rate": 7.612086774989449e-06, + "loss": 0.8487, + "step": 25020 + }, + { + "epoch": 0.59, + "grad_norm": 0.778250539555748, + "learning_rate": 7.611345814968065e-06, + "loss": 0.6727, + "step": 25021 + }, + { + "epoch": 0.59, + "grad_norm": 1.6230167735145362, + "learning_rate": 7.610604868854179e-06, + "loss": 0.8876, + "step": 25022 + }, + { + "epoch": 0.59, + "grad_norm": 2.251470270997788, + "learning_rate": 7.609863936652106e-06, + "loss": 0.8955, + "step": 25023 + }, + { + "epoch": 0.59, + "grad_norm": 1.796539707216517, + "learning_rate": 7.6091230183661655e-06, + "loss": 0.9388, + "step": 25024 + }, + { + "epoch": 0.59, + "grad_norm": 1.5885088053680194, + "learning_rate": 7.60838211400067e-06, + "loss": 0.8595, + "step": 25025 + }, + { + "epoch": 0.59, + "grad_norm": 1.8303182180382043, + "learning_rate": 7.607641223559925e-06, + "loss": 0.8864, + "step": 25026 + }, + { + "epoch": 0.59, + "grad_norm": 1.608844754289712, + "learning_rate": 7.606900347048254e-06, + "loss": 0.8157, + "step": 25027 + }, + { + "epoch": 0.59, + "grad_norm": 1.7830410689118668, + "learning_rate": 7.6061594844699645e-06, + "loss": 0.9061, + "step": 25028 + }, + { + "epoch": 0.59, + "grad_norm": 1.5917042642402595, + "learning_rate": 7.6054186358293765e-06, + "loss": 0.8784, + "step": 25029 + }, + { + "epoch": 0.59, + "grad_norm": 2.1517065498113768, + "learning_rate": 7.604677801130794e-06, + "loss": 0.9203, + "step": 25030 + }, + { + "epoch": 0.59, + "grad_norm": 1.94673195632456, + "learning_rate": 7.603936980378539e-06, + "loss": 0.8504, + "step": 25031 + }, + { + "epoch": 0.59, + "grad_norm": 1.7447742785410565, + "learning_rate": 7.603196173576923e-06, + "loss": 0.8728, + "step": 25032 + }, + { + "epoch": 0.59, + "grad_norm": 1.5155302397663548, + "learning_rate": 7.602455380730256e-06, + "loss": 0.692, + "step": 25033 + }, + { + "epoch": 0.59, + "grad_norm": 1.672018971536118, + "learning_rate": 7.601714601842849e-06, + "loss": 0.8263, + "step": 25034 + }, + { + "epoch": 0.59, + "grad_norm": 0.7346425993233251, + "learning_rate": 7.600973836919022e-06, + "loss": 0.7154, + "step": 25035 + }, + { + "epoch": 0.59, + "grad_norm": 1.5424736361255666, + "learning_rate": 7.600233085963088e-06, + "loss": 0.9102, + "step": 25036 + }, + { + "epoch": 0.59, + "grad_norm": 2.132478903120827, + "learning_rate": 7.5994923489793535e-06, + "loss": 0.8232, + "step": 25037 + }, + { + "epoch": 0.59, + "grad_norm": 1.914784143458396, + "learning_rate": 7.598751625972133e-06, + "loss": 0.7559, + "step": 25038 + }, + { + "epoch": 0.59, + "grad_norm": 1.4878870230411065, + "learning_rate": 7.598010916945744e-06, + "loss": 0.9407, + "step": 25039 + }, + { + "epoch": 0.59, + "grad_norm": 1.4936559833310488, + "learning_rate": 7.597270221904494e-06, + "loss": 0.7477, + "step": 25040 + }, + { + "epoch": 0.59, + "grad_norm": 0.7865964362798455, + "learning_rate": 7.596529540852699e-06, + "loss": 0.729, + "step": 25041 + }, + { + "epoch": 0.59, + "grad_norm": 1.9213787632023769, + "learning_rate": 7.595788873794666e-06, + "loss": 0.9305, + "step": 25042 + }, + { + "epoch": 0.59, + "grad_norm": 1.7492331870632176, + "learning_rate": 7.5950482207347165e-06, + "loss": 0.747, + "step": 25043 + }, + { + "epoch": 0.59, + "grad_norm": 2.221233615083214, + "learning_rate": 7.594307581677155e-06, + "loss": 0.8387, + "step": 25044 + }, + { + "epoch": 0.59, + "grad_norm": 2.1243728621030677, + "learning_rate": 7.5935669566262974e-06, + "loss": 0.832, + "step": 25045 + }, + { + "epoch": 0.59, + "grad_norm": 1.7924377348764362, + "learning_rate": 7.592826345586456e-06, + "loss": 0.9468, + "step": 25046 + }, + { + "epoch": 0.59, + "grad_norm": 1.540430928812516, + "learning_rate": 7.592085748561937e-06, + "loss": 0.9954, + "step": 25047 + }, + { + "epoch": 0.59, + "grad_norm": 1.547060694707214, + "learning_rate": 7.5913451655570604e-06, + "loss": 0.8445, + "step": 25048 + }, + { + "epoch": 0.59, + "grad_norm": 2.2683077917414836, + "learning_rate": 7.590604596576134e-06, + "loss": 0.8479, + "step": 25049 + }, + { + "epoch": 0.59, + "grad_norm": 1.5688108402383778, + "learning_rate": 7.589864041623473e-06, + "loss": 0.7879, + "step": 25050 + }, + { + "epoch": 0.59, + "grad_norm": 1.3739570694083139, + "learning_rate": 7.589123500703383e-06, + "loss": 0.8066, + "step": 25051 + }, + { + "epoch": 0.59, + "grad_norm": 1.693595596823973, + "learning_rate": 7.588382973820181e-06, + "loss": 0.8972, + "step": 25052 + }, + { + "epoch": 0.59, + "grad_norm": 1.6776623771677908, + "learning_rate": 7.587642460978178e-06, + "loss": 0.8501, + "step": 25053 + }, + { + "epoch": 0.59, + "grad_norm": 1.8428561437692867, + "learning_rate": 7.586901962181683e-06, + "loss": 0.8303, + "step": 25054 + }, + { + "epoch": 0.59, + "grad_norm": 1.8563648243865833, + "learning_rate": 7.586161477435006e-06, + "loss": 0.9605, + "step": 25055 + }, + { + "epoch": 0.59, + "grad_norm": 1.5803728587809227, + "learning_rate": 7.585421006742464e-06, + "loss": 0.7705, + "step": 25056 + }, + { + "epoch": 0.59, + "grad_norm": 1.4916351705550608, + "learning_rate": 7.584680550108367e-06, + "loss": 0.7421, + "step": 25057 + }, + { + "epoch": 0.59, + "grad_norm": 1.5628197069652727, + "learning_rate": 7.5839401075370225e-06, + "loss": 0.8318, + "step": 25058 + }, + { + "epoch": 0.59, + "grad_norm": 2.0734536162933086, + "learning_rate": 7.583199679032741e-06, + "loss": 0.834, + "step": 25059 + }, + { + "epoch": 0.59, + "grad_norm": 1.8543748268234375, + "learning_rate": 7.582459264599842e-06, + "loss": 0.835, + "step": 25060 + }, + { + "epoch": 0.59, + "grad_norm": 1.3759605869876188, + "learning_rate": 7.581718864242626e-06, + "loss": 0.761, + "step": 25061 + }, + { + "epoch": 0.59, + "grad_norm": 2.099223622562588, + "learning_rate": 7.580978477965408e-06, + "loss": 0.8524, + "step": 25062 + }, + { + "epoch": 0.59, + "grad_norm": 0.75985552899711, + "learning_rate": 7.5802381057725e-06, + "loss": 0.7388, + "step": 25063 + }, + { + "epoch": 0.59, + "grad_norm": 1.8031257037272146, + "learning_rate": 7.579497747668216e-06, + "loss": 0.9212, + "step": 25064 + }, + { + "epoch": 0.59, + "grad_norm": 1.6075363386211594, + "learning_rate": 7.578757403656859e-06, + "loss": 0.7717, + "step": 25065 + }, + { + "epoch": 0.59, + "grad_norm": 1.5313770785958716, + "learning_rate": 7.578017073742741e-06, + "loss": 0.8414, + "step": 25066 + }, + { + "epoch": 0.59, + "grad_norm": 1.6501102727141408, + "learning_rate": 7.577276757930181e-06, + "loss": 0.7937, + "step": 25067 + }, + { + "epoch": 0.59, + "grad_norm": 1.5130417245444305, + "learning_rate": 7.5765364562234756e-06, + "loss": 0.9444, + "step": 25068 + }, + { + "epoch": 0.59, + "grad_norm": 1.717116593736033, + "learning_rate": 7.575796168626944e-06, + "loss": 0.7489, + "step": 25069 + }, + { + "epoch": 0.59, + "grad_norm": 0.838605700494616, + "learning_rate": 7.575055895144894e-06, + "loss": 0.7356, + "step": 25070 + }, + { + "epoch": 0.59, + "grad_norm": 1.588767111007216, + "learning_rate": 7.574315635781642e-06, + "loss": 0.803, + "step": 25071 + }, + { + "epoch": 0.59, + "grad_norm": 2.0802921265114587, + "learning_rate": 7.573575390541486e-06, + "loss": 0.9169, + "step": 25072 + }, + { + "epoch": 0.59, + "grad_norm": 1.9795184639465022, + "learning_rate": 7.572835159428744e-06, + "loss": 0.8231, + "step": 25073 + }, + { + "epoch": 0.59, + "grad_norm": 1.561457811351153, + "learning_rate": 7.572094942447727e-06, + "loss": 0.9091, + "step": 25074 + }, + { + "epoch": 0.59, + "grad_norm": 1.6938946529927348, + "learning_rate": 7.571354739602736e-06, + "loss": 0.8352, + "step": 25075 + }, + { + "epoch": 0.59, + "grad_norm": 1.8380573446780695, + "learning_rate": 7.57061455089809e-06, + "loss": 0.9968, + "step": 25076 + }, + { + "epoch": 0.59, + "grad_norm": 2.214262606498966, + "learning_rate": 7.569874376338095e-06, + "loss": 0.7885, + "step": 25077 + }, + { + "epoch": 0.59, + "grad_norm": 1.5564206743791447, + "learning_rate": 7.569134215927063e-06, + "loss": 0.985, + "step": 25078 + }, + { + "epoch": 0.59, + "grad_norm": 0.7788080369041509, + "learning_rate": 7.568394069669297e-06, + "loss": 0.7091, + "step": 25079 + }, + { + "epoch": 0.59, + "grad_norm": 1.5579492559549786, + "learning_rate": 7.567653937569113e-06, + "loss": 0.9259, + "step": 25080 + }, + { + "epoch": 0.59, + "grad_norm": 1.4766049183646515, + "learning_rate": 7.566913819630819e-06, + "loss": 0.8538, + "step": 25081 + }, + { + "epoch": 0.59, + "grad_norm": 1.7796377633787674, + "learning_rate": 7.566173715858722e-06, + "loss": 0.8275, + "step": 25082 + }, + { + "epoch": 0.59, + "grad_norm": 2.160478123679188, + "learning_rate": 7.565433626257129e-06, + "loss": 0.8291, + "step": 25083 + }, + { + "epoch": 0.59, + "grad_norm": 4.943614671968813, + "learning_rate": 7.564693550830355e-06, + "loss": 0.7008, + "step": 25084 + }, + { + "epoch": 0.59, + "grad_norm": 1.819604235879912, + "learning_rate": 7.563953489582708e-06, + "loss": 0.8972, + "step": 25085 + }, + { + "epoch": 0.59, + "grad_norm": 1.4741364107413382, + "learning_rate": 7.5632134425184936e-06, + "loss": 0.7577, + "step": 25086 + }, + { + "epoch": 0.59, + "grad_norm": 1.656064278172394, + "learning_rate": 7.562473409642019e-06, + "loss": 0.9486, + "step": 25087 + }, + { + "epoch": 0.59, + "grad_norm": 1.4600966292416366, + "learning_rate": 7.5617333909576006e-06, + "loss": 0.816, + "step": 25088 + }, + { + "epoch": 0.59, + "grad_norm": 1.5246569038290896, + "learning_rate": 7.56099338646954e-06, + "loss": 0.7075, + "step": 25089 + }, + { + "epoch": 0.59, + "grad_norm": 1.6648696986323328, + "learning_rate": 7.560253396182148e-06, + "loss": 0.828, + "step": 25090 + }, + { + "epoch": 0.59, + "grad_norm": 1.8399938558650613, + "learning_rate": 7.559513420099731e-06, + "loss": 0.8438, + "step": 25091 + }, + { + "epoch": 0.59, + "grad_norm": 1.7069129241151244, + "learning_rate": 7.558773458226605e-06, + "loss": 0.7613, + "step": 25092 + }, + { + "epoch": 0.59, + "grad_norm": 1.5804139136034212, + "learning_rate": 7.558033510567069e-06, + "loss": 0.7834, + "step": 25093 + }, + { + "epoch": 0.59, + "grad_norm": 1.8359522006341638, + "learning_rate": 7.557293577125435e-06, + "loss": 0.9686, + "step": 25094 + }, + { + "epoch": 0.59, + "grad_norm": 1.5421883416104099, + "learning_rate": 7.556553657906014e-06, + "loss": 0.8759, + "step": 25095 + }, + { + "epoch": 0.59, + "grad_norm": 1.6116171725708017, + "learning_rate": 7.555813752913107e-06, + "loss": 0.851, + "step": 25096 + }, + { + "epoch": 0.59, + "grad_norm": 1.9181560404396827, + "learning_rate": 7.555073862151028e-06, + "loss": 0.7502, + "step": 25097 + }, + { + "epoch": 0.59, + "grad_norm": 1.6298307870286484, + "learning_rate": 7.554333985624082e-06, + "loss": 0.9643, + "step": 25098 + }, + { + "epoch": 0.59, + "grad_norm": 1.43139639544076, + "learning_rate": 7.553594123336583e-06, + "loss": 0.8253, + "step": 25099 + }, + { + "epoch": 0.59, + "grad_norm": 1.4798363035588962, + "learning_rate": 7.5528542752928265e-06, + "loss": 0.9182, + "step": 25100 + }, + { + "epoch": 0.59, + "grad_norm": 1.6330773087901804, + "learning_rate": 7.552114441497131e-06, + "loss": 0.9262, + "step": 25101 + }, + { + "epoch": 0.59, + "grad_norm": 0.7652627967964409, + "learning_rate": 7.551374621953801e-06, + "loss": 0.7226, + "step": 25102 + }, + { + "epoch": 0.59, + "grad_norm": 2.2644240211902757, + "learning_rate": 7.550634816667142e-06, + "loss": 0.8243, + "step": 25103 + }, + { + "epoch": 0.59, + "grad_norm": 1.7121197122514291, + "learning_rate": 7.549895025641459e-06, + "loss": 0.8952, + "step": 25104 + }, + { + "epoch": 0.59, + "grad_norm": 0.7390613392655765, + "learning_rate": 7.549155248881066e-06, + "loss": 0.7501, + "step": 25105 + }, + { + "epoch": 0.59, + "grad_norm": 1.6663477286501398, + "learning_rate": 7.5484154863902705e-06, + "loss": 0.8181, + "step": 25106 + }, + { + "epoch": 0.59, + "grad_norm": 2.037668921419396, + "learning_rate": 7.547675738173372e-06, + "loss": 0.8929, + "step": 25107 + }, + { + "epoch": 0.59, + "grad_norm": 0.7338975936221291, + "learning_rate": 7.546936004234679e-06, + "loss": 0.7063, + "step": 25108 + }, + { + "epoch": 0.59, + "grad_norm": 1.592378217437298, + "learning_rate": 7.546196284578509e-06, + "loss": 0.8256, + "step": 25109 + }, + { + "epoch": 0.59, + "grad_norm": 2.257819386929804, + "learning_rate": 7.545456579209156e-06, + "loss": 0.8059, + "step": 25110 + }, + { + "epoch": 0.59, + "grad_norm": 1.6626486259299451, + "learning_rate": 7.5447168881309295e-06, + "loss": 0.8268, + "step": 25111 + }, + { + "epoch": 0.59, + "grad_norm": 1.6477725799342657, + "learning_rate": 7.543977211348142e-06, + "loss": 0.9883, + "step": 25112 + }, + { + "epoch": 0.59, + "grad_norm": 1.6941007375481238, + "learning_rate": 7.543237548865099e-06, + "loss": 0.747, + "step": 25113 + }, + { + "epoch": 0.59, + "grad_norm": 1.655398071711276, + "learning_rate": 7.542497900686102e-06, + "loss": 0.781, + "step": 25114 + }, + { + "epoch": 0.59, + "grad_norm": 1.6200250486020906, + "learning_rate": 7.5417582668154585e-06, + "loss": 0.7746, + "step": 25115 + }, + { + "epoch": 0.59, + "grad_norm": 1.8107070374273744, + "learning_rate": 7.5410186472574835e-06, + "loss": 0.8152, + "step": 25116 + }, + { + "epoch": 0.59, + "grad_norm": 1.540595350997447, + "learning_rate": 7.540279042016469e-06, + "loss": 0.9003, + "step": 25117 + }, + { + "epoch": 0.59, + "grad_norm": 1.7050182760899208, + "learning_rate": 7.539539451096732e-06, + "loss": 0.7213, + "step": 25118 + }, + { + "epoch": 0.59, + "grad_norm": 1.6760271272942033, + "learning_rate": 7.538799874502572e-06, + "loss": 0.8804, + "step": 25119 + }, + { + "epoch": 0.59, + "grad_norm": 1.981937896968665, + "learning_rate": 7.538060312238304e-06, + "loss": 0.825, + "step": 25120 + }, + { + "epoch": 0.59, + "grad_norm": 1.7857715785372916, + "learning_rate": 7.5373207643082245e-06, + "loss": 0.9248, + "step": 25121 + }, + { + "epoch": 0.59, + "grad_norm": 1.516807411996226, + "learning_rate": 7.536581230716643e-06, + "loss": 0.897, + "step": 25122 + }, + { + "epoch": 0.59, + "grad_norm": 1.6614972758919815, + "learning_rate": 7.535841711467868e-06, + "loss": 0.8587, + "step": 25123 + }, + { + "epoch": 0.59, + "grad_norm": 1.553741520226107, + "learning_rate": 7.535102206566199e-06, + "loss": 0.8177, + "step": 25124 + }, + { + "epoch": 0.59, + "grad_norm": 1.9366685733088853, + "learning_rate": 7.534362716015948e-06, + "loss": 0.8989, + "step": 25125 + }, + { + "epoch": 0.59, + "grad_norm": 1.6469508941199669, + "learning_rate": 7.533623239821417e-06, + "loss": 0.8382, + "step": 25126 + }, + { + "epoch": 0.59, + "grad_norm": 1.709280377247431, + "learning_rate": 7.532883777986915e-06, + "loss": 0.823, + "step": 25127 + }, + { + "epoch": 0.59, + "grad_norm": 1.5806672635188015, + "learning_rate": 7.53214433051674e-06, + "loss": 0.8387, + "step": 25128 + }, + { + "epoch": 0.59, + "grad_norm": 1.608643317370781, + "learning_rate": 7.531404897415204e-06, + "loss": 0.874, + "step": 25129 + }, + { + "epoch": 0.59, + "grad_norm": 1.6144424477191714, + "learning_rate": 7.530665478686613e-06, + "loss": 1.0035, + "step": 25130 + }, + { + "epoch": 0.59, + "grad_norm": 0.7831230530288048, + "learning_rate": 7.5299260743352675e-06, + "loss": 0.7322, + "step": 25131 + }, + { + "epoch": 0.59, + "grad_norm": 1.5770972340645428, + "learning_rate": 7.529186684365471e-06, + "loss": 0.7812, + "step": 25132 + }, + { + "epoch": 0.59, + "grad_norm": 1.553882584300526, + "learning_rate": 7.528447308781534e-06, + "loss": 0.7494, + "step": 25133 + }, + { + "epoch": 0.59, + "grad_norm": 2.3684297655185964, + "learning_rate": 7.527707947587764e-06, + "loss": 0.8308, + "step": 25134 + }, + { + "epoch": 0.59, + "grad_norm": 1.6576891836201504, + "learning_rate": 7.526968600788456e-06, + "loss": 0.786, + "step": 25135 + }, + { + "epoch": 0.59, + "grad_norm": 1.5502218807622485, + "learning_rate": 7.526229268387919e-06, + "loss": 0.8241, + "step": 25136 + }, + { + "epoch": 0.59, + "grad_norm": 1.6333675941064896, + "learning_rate": 7.525489950390461e-06, + "loss": 0.8598, + "step": 25137 + }, + { + "epoch": 0.59, + "grad_norm": 1.7087192906784294, + "learning_rate": 7.524750646800384e-06, + "loss": 0.888, + "step": 25138 + }, + { + "epoch": 0.59, + "grad_norm": 1.8689600430867677, + "learning_rate": 7.524011357621991e-06, + "loss": 0.8306, + "step": 25139 + }, + { + "epoch": 0.59, + "grad_norm": 1.7522390327103794, + "learning_rate": 7.523272082859587e-06, + "loss": 0.8929, + "step": 25140 + }, + { + "epoch": 0.59, + "grad_norm": 1.5226156415625103, + "learning_rate": 7.52253282251748e-06, + "loss": 0.8263, + "step": 25141 + }, + { + "epoch": 0.59, + "grad_norm": 0.7909061277729312, + "learning_rate": 7.52179357659997e-06, + "loss": 0.7368, + "step": 25142 + }, + { + "epoch": 0.59, + "grad_norm": 1.724205151451175, + "learning_rate": 7.521054345111361e-06, + "loss": 0.8296, + "step": 25143 + }, + { + "epoch": 0.59, + "grad_norm": 1.8627201175599288, + "learning_rate": 7.520315128055961e-06, + "loss": 0.712, + "step": 25144 + }, + { + "epoch": 0.59, + "grad_norm": 1.7309296326695003, + "learning_rate": 7.5195759254380674e-06, + "loss": 0.8959, + "step": 25145 + }, + { + "epoch": 0.59, + "grad_norm": 1.5941402157047397, + "learning_rate": 7.518836737261991e-06, + "loss": 0.7434, + "step": 25146 + }, + { + "epoch": 0.59, + "grad_norm": 1.7494622125576118, + "learning_rate": 7.51809756353203e-06, + "loss": 0.9593, + "step": 25147 + }, + { + "epoch": 0.59, + "grad_norm": 1.5345988030084188, + "learning_rate": 7.517358404252497e-06, + "loss": 0.7858, + "step": 25148 + }, + { + "epoch": 0.59, + "grad_norm": 1.62983834082854, + "learning_rate": 7.516619259427682e-06, + "loss": 0.8687, + "step": 25149 + }, + { + "epoch": 0.59, + "grad_norm": 1.69654756581936, + "learning_rate": 7.5158801290619e-06, + "loss": 0.8787, + "step": 25150 + }, + { + "epoch": 0.59, + "grad_norm": 1.6108348865655349, + "learning_rate": 7.515141013159447e-06, + "loss": 0.9222, + "step": 25151 + }, + { + "epoch": 0.59, + "grad_norm": 1.7463031519458883, + "learning_rate": 7.514401911724636e-06, + "loss": 0.9367, + "step": 25152 + }, + { + "epoch": 0.59, + "grad_norm": 1.6452894372602382, + "learning_rate": 7.513662824761758e-06, + "loss": 0.848, + "step": 25153 + }, + { + "epoch": 0.59, + "grad_norm": 1.716887267759938, + "learning_rate": 7.512923752275124e-06, + "loss": 0.7397, + "step": 25154 + }, + { + "epoch": 0.59, + "grad_norm": 3.0927346830116353, + "learning_rate": 7.5121846942690376e-06, + "loss": 0.7573, + "step": 25155 + }, + { + "epoch": 0.59, + "grad_norm": 2.1491457275885435, + "learning_rate": 7.511445650747797e-06, + "loss": 0.8665, + "step": 25156 + }, + { + "epoch": 0.59, + "grad_norm": 3.3811010101372982, + "learning_rate": 7.5107066217157065e-06, + "loss": 0.74, + "step": 25157 + }, + { + "epoch": 0.59, + "grad_norm": 1.8798460790061076, + "learning_rate": 7.509967607177072e-06, + "loss": 0.8753, + "step": 25158 + }, + { + "epoch": 0.59, + "grad_norm": 0.7873144905266197, + "learning_rate": 7.509228607136196e-06, + "loss": 0.7105, + "step": 25159 + }, + { + "epoch": 0.59, + "grad_norm": 1.6624651010539664, + "learning_rate": 7.508489621597376e-06, + "loss": 0.9336, + "step": 25160 + }, + { + "epoch": 0.59, + "grad_norm": 1.5116098901138595, + "learning_rate": 7.50775065056492e-06, + "loss": 0.8278, + "step": 25161 + }, + { + "epoch": 0.59, + "grad_norm": 1.7519416081420505, + "learning_rate": 7.5070116940431315e-06, + "loss": 0.9741, + "step": 25162 + }, + { + "epoch": 0.59, + "grad_norm": 1.593784533249547, + "learning_rate": 7.506272752036308e-06, + "loss": 0.8379, + "step": 25163 + }, + { + "epoch": 0.59, + "grad_norm": 1.5230548006574542, + "learning_rate": 7.5055338245487506e-06, + "loss": 0.7508, + "step": 25164 + }, + { + "epoch": 0.59, + "grad_norm": 1.4743329739432498, + "learning_rate": 7.504794911584767e-06, + "loss": 0.9777, + "step": 25165 + }, + { + "epoch": 0.59, + "grad_norm": 1.5874412717610533, + "learning_rate": 7.504056013148661e-06, + "loss": 0.8538, + "step": 25166 + }, + { + "epoch": 0.59, + "grad_norm": 1.5658224127121525, + "learning_rate": 7.503317129244729e-06, + "loss": 0.8024, + "step": 25167 + }, + { + "epoch": 0.59, + "grad_norm": 1.5602070336508231, + "learning_rate": 7.502578259877272e-06, + "loss": 0.7216, + "step": 25168 + }, + { + "epoch": 0.59, + "grad_norm": 1.5083408221116383, + "learning_rate": 7.501839405050601e-06, + "loss": 0.6888, + "step": 25169 + }, + { + "epoch": 0.59, + "grad_norm": 1.6954506230045825, + "learning_rate": 7.501100564769007e-06, + "loss": 0.83, + "step": 25170 + }, + { + "epoch": 0.59, + "grad_norm": 1.5379956924363583, + "learning_rate": 7.500361739036799e-06, + "loss": 0.8026, + "step": 25171 + }, + { + "epoch": 0.59, + "grad_norm": 0.754852498341524, + "learning_rate": 7.499622927858272e-06, + "loss": 0.7606, + "step": 25172 + }, + { + "epoch": 0.59, + "grad_norm": 1.7525098113339237, + "learning_rate": 7.498884131237738e-06, + "loss": 0.8013, + "step": 25173 + }, + { + "epoch": 0.59, + "grad_norm": 1.6796054491008976, + "learning_rate": 7.49814534917949e-06, + "loss": 0.8321, + "step": 25174 + }, + { + "epoch": 0.59, + "grad_norm": 2.8973825250421803, + "learning_rate": 7.497406581687832e-06, + "loss": 0.8996, + "step": 25175 + }, + { + "epoch": 0.59, + "grad_norm": 1.4428438986274434, + "learning_rate": 7.496667828767066e-06, + "loss": 0.9085, + "step": 25176 + }, + { + "epoch": 0.59, + "grad_norm": 1.5114990566900193, + "learning_rate": 7.4959290904214895e-06, + "loss": 0.792, + "step": 25177 + }, + { + "epoch": 0.59, + "grad_norm": 2.1491936237686198, + "learning_rate": 7.495190366655409e-06, + "loss": 0.778, + "step": 25178 + }, + { + "epoch": 0.59, + "grad_norm": 1.827923409526676, + "learning_rate": 7.4944516574731215e-06, + "loss": 0.8657, + "step": 25179 + }, + { + "epoch": 0.59, + "grad_norm": 1.4967303683080286, + "learning_rate": 7.493712962878934e-06, + "loss": 0.8598, + "step": 25180 + }, + { + "epoch": 0.59, + "grad_norm": 0.7459911766962598, + "learning_rate": 7.492974282877137e-06, + "loss": 0.6974, + "step": 25181 + }, + { + "epoch": 0.59, + "grad_norm": 1.5830193332527052, + "learning_rate": 7.492235617472041e-06, + "loss": 0.8337, + "step": 25182 + }, + { + "epoch": 0.59, + "grad_norm": 1.636240110426562, + "learning_rate": 7.4914969666679435e-06, + "loss": 0.8255, + "step": 25183 + }, + { + "epoch": 0.59, + "grad_norm": 1.6305763522997, + "learning_rate": 7.490758330469144e-06, + "loss": 0.8874, + "step": 25184 + }, + { + "epoch": 0.59, + "grad_norm": 0.7395495107105392, + "learning_rate": 7.490019708879942e-06, + "loss": 0.6879, + "step": 25185 + }, + { + "epoch": 0.59, + "grad_norm": 1.6072169577365414, + "learning_rate": 7.489281101904642e-06, + "loss": 0.7118, + "step": 25186 + }, + { + "epoch": 0.59, + "grad_norm": 1.559889874397758, + "learning_rate": 7.488542509547544e-06, + "loss": 0.8509, + "step": 25187 + }, + { + "epoch": 0.59, + "grad_norm": 1.768450982070273, + "learning_rate": 7.487803931812945e-06, + "loss": 0.8271, + "step": 25188 + }, + { + "epoch": 0.59, + "grad_norm": 1.6495563644271412, + "learning_rate": 7.487065368705144e-06, + "loss": 0.7716, + "step": 25189 + }, + { + "epoch": 0.59, + "grad_norm": 1.7212700154906215, + "learning_rate": 7.486326820228449e-06, + "loss": 0.8352, + "step": 25190 + }, + { + "epoch": 0.59, + "grad_norm": 1.964043944470164, + "learning_rate": 7.485588286387152e-06, + "loss": 0.9149, + "step": 25191 + }, + { + "epoch": 0.59, + "grad_norm": 1.6286984349942977, + "learning_rate": 7.484849767185556e-06, + "loss": 0.9315, + "step": 25192 + }, + { + "epoch": 0.59, + "grad_norm": 2.2161804423173925, + "learning_rate": 7.48411126262796e-06, + "loss": 0.9009, + "step": 25193 + }, + { + "epoch": 0.59, + "grad_norm": 1.903352885976145, + "learning_rate": 7.483372772718668e-06, + "loss": 0.8947, + "step": 25194 + }, + { + "epoch": 0.59, + "grad_norm": 3.3331057186504665, + "learning_rate": 7.482634297461975e-06, + "loss": 0.8125, + "step": 25195 + }, + { + "epoch": 0.59, + "grad_norm": 1.4722437695145936, + "learning_rate": 7.48189583686218e-06, + "loss": 0.8104, + "step": 25196 + }, + { + "epoch": 0.59, + "grad_norm": 1.5547993447854855, + "learning_rate": 7.48115739092359e-06, + "loss": 0.7797, + "step": 25197 + }, + { + "epoch": 0.59, + "grad_norm": 1.5010915635114577, + "learning_rate": 7.480418959650493e-06, + "loss": 0.823, + "step": 25198 + }, + { + "epoch": 0.59, + "grad_norm": 1.669546409484222, + "learning_rate": 7.4796805430471975e-06, + "loss": 0.928, + "step": 25199 + }, + { + "epoch": 0.59, + "grad_norm": 1.6706039637876149, + "learning_rate": 7.478942141117998e-06, + "loss": 0.9429, + "step": 25200 + }, + { + "epoch": 0.59, + "grad_norm": 1.6213410137940851, + "learning_rate": 7.478203753867202e-06, + "loss": 0.9062, + "step": 25201 + }, + { + "epoch": 0.59, + "grad_norm": 0.7475271664917786, + "learning_rate": 7.477465381299094e-06, + "loss": 0.6903, + "step": 25202 + }, + { + "epoch": 0.59, + "grad_norm": 1.999862669967051, + "learning_rate": 7.476727023417985e-06, + "loss": 0.7923, + "step": 25203 + }, + { + "epoch": 0.59, + "grad_norm": 1.5139920192225382, + "learning_rate": 7.47598868022817e-06, + "loss": 0.8161, + "step": 25204 + }, + { + "epoch": 0.59, + "grad_norm": 1.830712990890143, + "learning_rate": 7.475250351733947e-06, + "loss": 0.8886, + "step": 25205 + }, + { + "epoch": 0.59, + "grad_norm": 1.4725508079603473, + "learning_rate": 7.474512037939614e-06, + "loss": 0.9094, + "step": 25206 + }, + { + "epoch": 0.59, + "grad_norm": 1.7533923295855909, + "learning_rate": 7.473773738849475e-06, + "loss": 0.8754, + "step": 25207 + }, + { + "epoch": 0.59, + "grad_norm": 1.5674612012316738, + "learning_rate": 7.473035454467825e-06, + "loss": 0.7649, + "step": 25208 + }, + { + "epoch": 0.59, + "grad_norm": 1.5941649444545347, + "learning_rate": 7.472297184798959e-06, + "loss": 0.7734, + "step": 25209 + }, + { + "epoch": 0.59, + "grad_norm": 1.606113674366942, + "learning_rate": 7.471558929847181e-06, + "loss": 1.0295, + "step": 25210 + }, + { + "epoch": 0.59, + "grad_norm": 1.6640628042669925, + "learning_rate": 7.4708206896167904e-06, + "loss": 0.8802, + "step": 25211 + }, + { + "epoch": 0.59, + "grad_norm": 1.5635806351122554, + "learning_rate": 7.470082464112079e-06, + "loss": 0.9757, + "step": 25212 + }, + { + "epoch": 0.59, + "grad_norm": 1.5890676951311742, + "learning_rate": 7.469344253337347e-06, + "loss": 1.0391, + "step": 25213 + }, + { + "epoch": 0.59, + "grad_norm": 1.7062743295105345, + "learning_rate": 7.468606057296896e-06, + "loss": 0.841, + "step": 25214 + }, + { + "epoch": 0.59, + "grad_norm": 1.6242366591732709, + "learning_rate": 7.467867875995025e-06, + "loss": 0.7671, + "step": 25215 + }, + { + "epoch": 0.59, + "grad_norm": 1.9971272014959487, + "learning_rate": 7.467129709436025e-06, + "loss": 0.9724, + "step": 25216 + }, + { + "epoch": 0.59, + "grad_norm": 1.60487078665315, + "learning_rate": 7.466391557624197e-06, + "loss": 0.9412, + "step": 25217 + }, + { + "epoch": 0.59, + "grad_norm": 1.615680929811965, + "learning_rate": 7.465653420563846e-06, + "loss": 0.8016, + "step": 25218 + }, + { + "epoch": 0.59, + "grad_norm": 1.5783162553266215, + "learning_rate": 7.464915298259256e-06, + "loss": 0.8483, + "step": 25219 + }, + { + "epoch": 0.59, + "grad_norm": 1.8125154976873332, + "learning_rate": 7.464177190714734e-06, + "loss": 0.7804, + "step": 25220 + }, + { + "epoch": 0.59, + "grad_norm": 1.8328446023022495, + "learning_rate": 7.463439097934572e-06, + "loss": 0.8327, + "step": 25221 + }, + { + "epoch": 0.59, + "grad_norm": 0.768431151432612, + "learning_rate": 7.462701019923078e-06, + "loss": 0.7264, + "step": 25222 + }, + { + "epoch": 0.59, + "grad_norm": 1.5426136435513322, + "learning_rate": 7.461962956684538e-06, + "loss": 0.8732, + "step": 25223 + }, + { + "epoch": 0.59, + "grad_norm": 1.4120468423661074, + "learning_rate": 7.4612249082232524e-06, + "loss": 0.8873, + "step": 25224 + }, + { + "epoch": 0.59, + "grad_norm": 1.5448232020863633, + "learning_rate": 7.460486874543522e-06, + "loss": 0.8427, + "step": 25225 + }, + { + "epoch": 0.59, + "grad_norm": 1.729657310735081, + "learning_rate": 7.459748855649637e-06, + "loss": 0.7422, + "step": 25226 + }, + { + "epoch": 0.59, + "grad_norm": 1.5684969619080253, + "learning_rate": 7.459010851545901e-06, + "loss": 0.8943, + "step": 25227 + }, + { + "epoch": 0.59, + "grad_norm": 1.572658881991454, + "learning_rate": 7.458272862236606e-06, + "loss": 0.7589, + "step": 25228 + }, + { + "epoch": 0.59, + "grad_norm": 1.5176474453446602, + "learning_rate": 7.457534887726056e-06, + "loss": 0.9952, + "step": 25229 + }, + { + "epoch": 0.59, + "grad_norm": 1.713502039721858, + "learning_rate": 7.456796928018537e-06, + "loss": 0.9154, + "step": 25230 + }, + { + "epoch": 0.59, + "grad_norm": 1.6453922530589595, + "learning_rate": 7.456058983118354e-06, + "loss": 0.7523, + "step": 25231 + }, + { + "epoch": 0.59, + "grad_norm": 1.6348639484857836, + "learning_rate": 7.4553210530298025e-06, + "loss": 0.734, + "step": 25232 + }, + { + "epoch": 0.59, + "grad_norm": 1.6191181944628157, + "learning_rate": 7.454583137757176e-06, + "loss": 0.8188, + "step": 25233 + }, + { + "epoch": 0.59, + "grad_norm": 1.5175927467658983, + "learning_rate": 7.4538452373047694e-06, + "loss": 0.8507, + "step": 25234 + }, + { + "epoch": 0.59, + "grad_norm": 1.649483377028303, + "learning_rate": 7.453107351676885e-06, + "loss": 0.8094, + "step": 25235 + }, + { + "epoch": 0.59, + "grad_norm": 2.0922624044700284, + "learning_rate": 7.452369480877818e-06, + "loss": 0.8304, + "step": 25236 + }, + { + "epoch": 0.59, + "grad_norm": 1.8430062362950033, + "learning_rate": 7.45163162491186e-06, + "loss": 0.8359, + "step": 25237 + }, + { + "epoch": 0.59, + "grad_norm": 1.5292062973315947, + "learning_rate": 7.450893783783308e-06, + "loss": 0.9059, + "step": 25238 + }, + { + "epoch": 0.59, + "grad_norm": 1.5725293398869091, + "learning_rate": 7.4501559574964634e-06, + "loss": 0.7897, + "step": 25239 + }, + { + "epoch": 0.59, + "grad_norm": 1.5974626741017703, + "learning_rate": 7.449418146055616e-06, + "loss": 0.8687, + "step": 25240 + }, + { + "epoch": 0.59, + "grad_norm": 1.7028552133071455, + "learning_rate": 7.448680349465063e-06, + "loss": 0.9343, + "step": 25241 + }, + { + "epoch": 0.59, + "grad_norm": 0.7783710133490119, + "learning_rate": 7.447942567729098e-06, + "loss": 0.7306, + "step": 25242 + }, + { + "epoch": 0.59, + "grad_norm": 1.6605482989622051, + "learning_rate": 7.447204800852025e-06, + "loss": 0.9389, + "step": 25243 + }, + { + "epoch": 0.59, + "grad_norm": 0.7853466558387636, + "learning_rate": 7.446467048838131e-06, + "loss": 0.7502, + "step": 25244 + }, + { + "epoch": 0.59, + "grad_norm": 1.9708020221308309, + "learning_rate": 7.445729311691713e-06, + "loss": 0.9603, + "step": 25245 + }, + { + "epoch": 0.59, + "grad_norm": 1.6206708832311214, + "learning_rate": 7.444991589417073e-06, + "loss": 0.8532, + "step": 25246 + }, + { + "epoch": 0.59, + "grad_norm": 2.213415912956377, + "learning_rate": 7.444253882018495e-06, + "loss": 0.8637, + "step": 25247 + }, + { + "epoch": 0.59, + "grad_norm": 1.7286169725208644, + "learning_rate": 7.4435161895002815e-06, + "loss": 0.9553, + "step": 25248 + }, + { + "epoch": 0.59, + "grad_norm": 1.5701950180753583, + "learning_rate": 7.442778511866725e-06, + "loss": 0.982, + "step": 25249 + }, + { + "epoch": 0.59, + "grad_norm": 1.6975182876704924, + "learning_rate": 7.442040849122127e-06, + "loss": 0.8, + "step": 25250 + }, + { + "epoch": 0.59, + "grad_norm": 1.5044695610832592, + "learning_rate": 7.441303201270772e-06, + "loss": 0.8898, + "step": 25251 + }, + { + "epoch": 0.59, + "grad_norm": 1.6611387992694377, + "learning_rate": 7.4405655683169606e-06, + "loss": 0.8076, + "step": 25252 + }, + { + "epoch": 0.59, + "grad_norm": 1.4191014481014073, + "learning_rate": 7.43982795026499e-06, + "loss": 0.8352, + "step": 25253 + }, + { + "epoch": 0.59, + "grad_norm": 1.5587559626952974, + "learning_rate": 7.439090347119149e-06, + "loss": 0.9696, + "step": 25254 + }, + { + "epoch": 0.59, + "grad_norm": 1.9496915163067234, + "learning_rate": 7.438352758883732e-06, + "loss": 0.8013, + "step": 25255 + }, + { + "epoch": 0.6, + "grad_norm": 1.544993148793596, + "learning_rate": 7.437615185563038e-06, + "loss": 0.7878, + "step": 25256 + }, + { + "epoch": 0.6, + "grad_norm": 1.5680213544255932, + "learning_rate": 7.436877627161364e-06, + "loss": 0.7718, + "step": 25257 + }, + { + "epoch": 0.6, + "grad_norm": 2.3920292784591672, + "learning_rate": 7.4361400836829945e-06, + "loss": 0.9227, + "step": 25258 + }, + { + "epoch": 0.6, + "grad_norm": 1.5663318817414913, + "learning_rate": 7.43540255513223e-06, + "loss": 0.82, + "step": 25259 + }, + { + "epoch": 0.6, + "grad_norm": 1.6632627580363046, + "learning_rate": 7.434665041513367e-06, + "loss": 0.8239, + "step": 25260 + }, + { + "epoch": 0.6, + "grad_norm": 1.697530092170214, + "learning_rate": 7.433927542830695e-06, + "loss": 0.9489, + "step": 25261 + }, + { + "epoch": 0.6, + "grad_norm": 1.4012713459766002, + "learning_rate": 7.433190059088506e-06, + "loss": 0.8104, + "step": 25262 + }, + { + "epoch": 0.6, + "grad_norm": 1.5227806552448102, + "learning_rate": 7.4324525902910996e-06, + "loss": 0.829, + "step": 25263 + }, + { + "epoch": 0.6, + "grad_norm": 1.778589370653793, + "learning_rate": 7.43171513644277e-06, + "loss": 0.9646, + "step": 25264 + }, + { + "epoch": 0.6, + "grad_norm": 1.590803291203102, + "learning_rate": 7.4309776975478046e-06, + "loss": 0.8615, + "step": 25265 + }, + { + "epoch": 0.6, + "grad_norm": 1.3905348955772892, + "learning_rate": 7.4302402736104985e-06, + "loss": 0.8196, + "step": 25266 + }, + { + "epoch": 0.6, + "grad_norm": 1.5462674116022772, + "learning_rate": 7.429502864635154e-06, + "loss": 0.8054, + "step": 25267 + }, + { + "epoch": 0.6, + "grad_norm": 1.616135267361928, + "learning_rate": 7.428765470626051e-06, + "loss": 0.8735, + "step": 25268 + }, + { + "epoch": 0.6, + "grad_norm": 3.66696063849088, + "learning_rate": 7.428028091587491e-06, + "loss": 0.8082, + "step": 25269 + }, + { + "epoch": 0.6, + "grad_norm": 1.569803814566293, + "learning_rate": 7.427290727523764e-06, + "loss": 0.9337, + "step": 25270 + }, + { + "epoch": 0.6, + "grad_norm": 1.4049747345005217, + "learning_rate": 7.42655337843917e-06, + "loss": 0.864, + "step": 25271 + }, + { + "epoch": 0.6, + "grad_norm": 1.8304709533697172, + "learning_rate": 7.4258160443379935e-06, + "loss": 0.8783, + "step": 25272 + }, + { + "epoch": 0.6, + "grad_norm": 1.5939854475071482, + "learning_rate": 7.4250787252245316e-06, + "loss": 0.8796, + "step": 25273 + }, + { + "epoch": 0.6, + "grad_norm": 0.9134060871516821, + "learning_rate": 7.424341421103074e-06, + "loss": 0.7048, + "step": 25274 + }, + { + "epoch": 0.6, + "grad_norm": 1.7761548785506638, + "learning_rate": 7.423604131977921e-06, + "loss": 0.7989, + "step": 25275 + }, + { + "epoch": 0.6, + "grad_norm": 2.211787278852836, + "learning_rate": 7.422866857853358e-06, + "loss": 0.8677, + "step": 25276 + }, + { + "epoch": 0.6, + "grad_norm": 1.7457415698086252, + "learning_rate": 7.422129598733681e-06, + "loss": 0.8002, + "step": 25277 + }, + { + "epoch": 0.6, + "grad_norm": 1.5027040591598695, + "learning_rate": 7.421392354623181e-06, + "loss": 0.9493, + "step": 25278 + }, + { + "epoch": 0.6, + "grad_norm": 1.5269180545744878, + "learning_rate": 7.4206551255261495e-06, + "loss": 0.8334, + "step": 25279 + }, + { + "epoch": 0.6, + "grad_norm": 1.3943946251622648, + "learning_rate": 7.419917911446881e-06, + "loss": 0.7793, + "step": 25280 + }, + { + "epoch": 0.6, + "grad_norm": 1.6638659270498457, + "learning_rate": 7.4191807123896686e-06, + "loss": 0.8383, + "step": 25281 + }, + { + "epoch": 0.6, + "grad_norm": 1.6420216259779594, + "learning_rate": 7.418443528358805e-06, + "loss": 0.8938, + "step": 25282 + }, + { + "epoch": 0.6, + "grad_norm": 2.389531496195934, + "learning_rate": 7.417706359358576e-06, + "loss": 0.8949, + "step": 25283 + }, + { + "epoch": 0.6, + "grad_norm": 1.5409614603290824, + "learning_rate": 7.416969205393279e-06, + "loss": 0.7736, + "step": 25284 + }, + { + "epoch": 0.6, + "grad_norm": 1.4861034920726401, + "learning_rate": 7.4162320664672084e-06, + "loss": 0.9083, + "step": 25285 + }, + { + "epoch": 0.6, + "grad_norm": 1.6299283359384438, + "learning_rate": 7.415494942584651e-06, + "loss": 0.8735, + "step": 25286 + }, + { + "epoch": 0.6, + "grad_norm": 1.6532607550858596, + "learning_rate": 7.414757833749897e-06, + "loss": 0.9561, + "step": 25287 + }, + { + "epoch": 0.6, + "grad_norm": 1.5706423119645307, + "learning_rate": 7.414020739967245e-06, + "loss": 0.8989, + "step": 25288 + }, + { + "epoch": 0.6, + "grad_norm": 1.4207308506125254, + "learning_rate": 7.413283661240984e-06, + "loss": 0.8555, + "step": 25289 + }, + { + "epoch": 0.6, + "grad_norm": 1.7461284666769123, + "learning_rate": 7.412546597575403e-06, + "loss": 0.9259, + "step": 25290 + }, + { + "epoch": 0.6, + "grad_norm": 2.3115399658315674, + "learning_rate": 7.411809548974792e-06, + "loss": 0.7824, + "step": 25291 + }, + { + "epoch": 0.6, + "grad_norm": 1.796141320893518, + "learning_rate": 7.411072515443449e-06, + "loss": 0.8582, + "step": 25292 + }, + { + "epoch": 0.6, + "grad_norm": 1.8638788709131415, + "learning_rate": 7.410335496985661e-06, + "loss": 0.8278, + "step": 25293 + }, + { + "epoch": 0.6, + "grad_norm": 1.443918627290233, + "learning_rate": 7.409598493605716e-06, + "loss": 0.7913, + "step": 25294 + }, + { + "epoch": 0.6, + "grad_norm": 1.8504781607657066, + "learning_rate": 7.408861505307912e-06, + "loss": 0.8849, + "step": 25295 + }, + { + "epoch": 0.6, + "grad_norm": 1.9033080335671648, + "learning_rate": 7.408124532096539e-06, + "loss": 0.862, + "step": 25296 + }, + { + "epoch": 0.6, + "grad_norm": 1.564805888766839, + "learning_rate": 7.407387573975881e-06, + "loss": 0.7976, + "step": 25297 + }, + { + "epoch": 0.6, + "grad_norm": 1.695712825991363, + "learning_rate": 7.406650630950234e-06, + "loss": 0.8508, + "step": 25298 + }, + { + "epoch": 0.6, + "grad_norm": 2.1960644119706134, + "learning_rate": 7.405913703023894e-06, + "loss": 0.8018, + "step": 25299 + }, + { + "epoch": 0.6, + "grad_norm": 0.77139809922408, + "learning_rate": 7.405176790201139e-06, + "loss": 0.6805, + "step": 25300 + }, + { + "epoch": 0.6, + "grad_norm": 1.8152585995512565, + "learning_rate": 7.404439892486267e-06, + "loss": 0.7856, + "step": 25301 + }, + { + "epoch": 0.6, + "grad_norm": 1.5555913449859524, + "learning_rate": 7.403703009883567e-06, + "loss": 1.0072, + "step": 25302 + }, + { + "epoch": 0.6, + "grad_norm": 1.5717781107777113, + "learning_rate": 7.402966142397335e-06, + "loss": 0.8046, + "step": 25303 + }, + { + "epoch": 0.6, + "grad_norm": 1.6759652271780419, + "learning_rate": 7.402229290031851e-06, + "loss": 0.8975, + "step": 25304 + }, + { + "epoch": 0.6, + "grad_norm": 1.70091327705169, + "learning_rate": 7.401492452791414e-06, + "loss": 0.7495, + "step": 25305 + }, + { + "epoch": 0.6, + "grad_norm": 2.92195196959963, + "learning_rate": 7.4007556306803095e-06, + "loss": 0.8152, + "step": 25306 + }, + { + "epoch": 0.6, + "grad_norm": 1.747396581331862, + "learning_rate": 7.400018823702827e-06, + "loss": 0.864, + "step": 25307 + }, + { + "epoch": 0.6, + "grad_norm": 1.584987084993635, + "learning_rate": 7.39928203186326e-06, + "loss": 0.8514, + "step": 25308 + }, + { + "epoch": 0.6, + "grad_norm": 1.5996236787771902, + "learning_rate": 7.3985452551658956e-06, + "loss": 0.7534, + "step": 25309 + }, + { + "epoch": 0.6, + "grad_norm": 1.8737779518986202, + "learning_rate": 7.397808493615026e-06, + "loss": 0.8943, + "step": 25310 + }, + { + "epoch": 0.6, + "grad_norm": 1.4565136359359407, + "learning_rate": 7.3970717472149354e-06, + "loss": 0.9304, + "step": 25311 + }, + { + "epoch": 0.6, + "grad_norm": 1.5281513203327504, + "learning_rate": 7.39633501596992e-06, + "loss": 0.9075, + "step": 25312 + }, + { + "epoch": 0.6, + "grad_norm": 1.4862274605464738, + "learning_rate": 7.3955982998842675e-06, + "loss": 0.8819, + "step": 25313 + }, + { + "epoch": 0.6, + "grad_norm": 0.7565814731800773, + "learning_rate": 7.394861598962265e-06, + "loss": 0.7018, + "step": 25314 + }, + { + "epoch": 0.6, + "grad_norm": 1.6438703952353204, + "learning_rate": 7.394124913208201e-06, + "loss": 0.9371, + "step": 25315 + }, + { + "epoch": 0.6, + "grad_norm": 1.5826625087385422, + "learning_rate": 7.393388242626368e-06, + "loss": 0.8934, + "step": 25316 + }, + { + "epoch": 0.6, + "grad_norm": 1.8179107608086873, + "learning_rate": 7.3926515872210555e-06, + "loss": 0.8505, + "step": 25317 + }, + { + "epoch": 0.6, + "grad_norm": 1.4964478132680776, + "learning_rate": 7.3919149469965505e-06, + "loss": 0.8619, + "step": 25318 + }, + { + "epoch": 0.6, + "grad_norm": 1.6476378387218484, + "learning_rate": 7.39117832195714e-06, + "loss": 0.8309, + "step": 25319 + }, + { + "epoch": 0.6, + "grad_norm": 1.5708231190666417, + "learning_rate": 7.390441712107119e-06, + "loss": 0.825, + "step": 25320 + }, + { + "epoch": 0.6, + "grad_norm": 1.7948716681510473, + "learning_rate": 7.389705117450769e-06, + "loss": 0.9269, + "step": 25321 + }, + { + "epoch": 0.6, + "grad_norm": 1.5850311346456547, + "learning_rate": 7.388968537992385e-06, + "loss": 0.9033, + "step": 25322 + }, + { + "epoch": 0.6, + "grad_norm": 1.6342898165842599, + "learning_rate": 7.388231973736248e-06, + "loss": 0.9204, + "step": 25323 + }, + { + "epoch": 0.6, + "grad_norm": 1.5227346008784985, + "learning_rate": 7.387495424686657e-06, + "loss": 0.8845, + "step": 25324 + }, + { + "epoch": 0.6, + "grad_norm": 0.8047950986664463, + "learning_rate": 7.3867588908478934e-06, + "loss": 0.7157, + "step": 25325 + }, + { + "epoch": 0.6, + "grad_norm": 1.5672161966482867, + "learning_rate": 7.386022372224246e-06, + "loss": 0.9228, + "step": 25326 + }, + { + "epoch": 0.6, + "grad_norm": 0.7913829347106223, + "learning_rate": 7.385285868820006e-06, + "loss": 0.7459, + "step": 25327 + }, + { + "epoch": 0.6, + "grad_norm": 1.607482308990439, + "learning_rate": 7.384549380639454e-06, + "loss": 0.8216, + "step": 25328 + }, + { + "epoch": 0.6, + "grad_norm": 1.94488546569586, + "learning_rate": 7.383812907686888e-06, + "loss": 0.9015, + "step": 25329 + }, + { + "epoch": 0.6, + "grad_norm": 1.7987980421515648, + "learning_rate": 7.383076449966591e-06, + "loss": 0.9213, + "step": 25330 + }, + { + "epoch": 0.6, + "grad_norm": 1.8539177010793813, + "learning_rate": 7.382340007482852e-06, + "loss": 0.9866, + "step": 25331 + }, + { + "epoch": 0.6, + "grad_norm": 0.748956986116981, + "learning_rate": 7.381603580239956e-06, + "loss": 0.6962, + "step": 25332 + }, + { + "epoch": 0.6, + "grad_norm": 1.7405235263570922, + "learning_rate": 7.380867168242193e-06, + "loss": 0.9527, + "step": 25333 + }, + { + "epoch": 0.6, + "grad_norm": 1.8567032247329796, + "learning_rate": 7.380130771493854e-06, + "loss": 0.8051, + "step": 25334 + }, + { + "epoch": 0.6, + "grad_norm": 1.578332345239343, + "learning_rate": 7.37939438999922e-06, + "loss": 0.8686, + "step": 25335 + }, + { + "epoch": 0.6, + "grad_norm": 1.7639351570516375, + "learning_rate": 7.3786580237625804e-06, + "loss": 0.8725, + "step": 25336 + }, + { + "epoch": 0.6, + "grad_norm": 1.493179609173798, + "learning_rate": 7.377921672788225e-06, + "loss": 0.9246, + "step": 25337 + }, + { + "epoch": 0.6, + "grad_norm": 1.817792074588887, + "learning_rate": 7.377185337080443e-06, + "loss": 0.8252, + "step": 25338 + }, + { + "epoch": 0.6, + "grad_norm": 1.4561472425164559, + "learning_rate": 7.376449016643516e-06, + "loss": 0.7786, + "step": 25339 + }, + { + "epoch": 0.6, + "grad_norm": 1.504334780227838, + "learning_rate": 7.375712711481731e-06, + "loss": 0.8604, + "step": 25340 + }, + { + "epoch": 0.6, + "grad_norm": 1.8960262289619254, + "learning_rate": 7.3749764215993804e-06, + "loss": 0.7456, + "step": 25341 + }, + { + "epoch": 0.6, + "grad_norm": 1.9146824769151158, + "learning_rate": 7.374240147000748e-06, + "loss": 0.7647, + "step": 25342 + }, + { + "epoch": 0.6, + "grad_norm": 1.5270651304383858, + "learning_rate": 7.373503887690117e-06, + "loss": 0.8718, + "step": 25343 + }, + { + "epoch": 0.6, + "grad_norm": 1.5223385002014045, + "learning_rate": 7.372767643671781e-06, + "loss": 0.8643, + "step": 25344 + }, + { + "epoch": 0.6, + "grad_norm": 1.5738706956060344, + "learning_rate": 7.372031414950025e-06, + "loss": 0.7949, + "step": 25345 + }, + { + "epoch": 0.6, + "grad_norm": 1.4319257972607538, + "learning_rate": 7.371295201529133e-06, + "loss": 0.825, + "step": 25346 + }, + { + "epoch": 0.6, + "grad_norm": 1.9672822799872254, + "learning_rate": 7.370559003413389e-06, + "loss": 0.8113, + "step": 25347 + }, + { + "epoch": 0.6, + "grad_norm": 1.4012131783296358, + "learning_rate": 7.369822820607091e-06, + "loss": 0.7231, + "step": 25348 + }, + { + "epoch": 0.6, + "grad_norm": 1.525923833452668, + "learning_rate": 7.36908665311451e-06, + "loss": 0.9191, + "step": 25349 + }, + { + "epoch": 0.6, + "grad_norm": 1.9673227467310297, + "learning_rate": 7.3683505009399415e-06, + "loss": 0.8647, + "step": 25350 + }, + { + "epoch": 0.6, + "grad_norm": 1.5544609407453989, + "learning_rate": 7.3676143640876675e-06, + "loss": 0.7774, + "step": 25351 + }, + { + "epoch": 0.6, + "grad_norm": 1.7393041349832143, + "learning_rate": 7.366878242561984e-06, + "loss": 0.9095, + "step": 25352 + }, + { + "epoch": 0.6, + "grad_norm": 1.6089426544484597, + "learning_rate": 7.36614213636716e-06, + "loss": 0.8679, + "step": 25353 + }, + { + "epoch": 0.6, + "grad_norm": 2.023594834553786, + "learning_rate": 7.365406045507493e-06, + "loss": 0.7404, + "step": 25354 + }, + { + "epoch": 0.6, + "grad_norm": 1.687035899810172, + "learning_rate": 7.364669969987269e-06, + "loss": 0.849, + "step": 25355 + }, + { + "epoch": 0.6, + "grad_norm": 1.9613537015287892, + "learning_rate": 7.363933909810766e-06, + "loss": 0.7803, + "step": 25356 + }, + { + "epoch": 0.6, + "grad_norm": 1.7676572074145342, + "learning_rate": 7.363197864982277e-06, + "loss": 0.8443, + "step": 25357 + }, + { + "epoch": 0.6, + "grad_norm": 1.6907706604092236, + "learning_rate": 7.362461835506085e-06, + "loss": 0.7526, + "step": 25358 + }, + { + "epoch": 0.6, + "grad_norm": 1.6978244057840763, + "learning_rate": 7.361725821386476e-06, + "loss": 0.9241, + "step": 25359 + }, + { + "epoch": 0.6, + "grad_norm": 1.490935667816902, + "learning_rate": 7.360989822627732e-06, + "loss": 0.8624, + "step": 25360 + }, + { + "epoch": 0.6, + "grad_norm": 1.6363704358494913, + "learning_rate": 7.3602538392341415e-06, + "loss": 0.8631, + "step": 25361 + }, + { + "epoch": 0.6, + "grad_norm": 1.4256614964633987, + "learning_rate": 7.359517871209993e-06, + "loss": 0.7601, + "step": 25362 + }, + { + "epoch": 0.6, + "grad_norm": 0.7656988602769452, + "learning_rate": 7.358781918559563e-06, + "loss": 0.7212, + "step": 25363 + }, + { + "epoch": 0.6, + "grad_norm": 1.4710242613945115, + "learning_rate": 7.358045981287141e-06, + "loss": 0.8392, + "step": 25364 + }, + { + "epoch": 0.6, + "grad_norm": 2.1436629414920976, + "learning_rate": 7.357310059397011e-06, + "loss": 0.8834, + "step": 25365 + }, + { + "epoch": 0.6, + "grad_norm": 1.4960151712732763, + "learning_rate": 7.356574152893463e-06, + "loss": 0.8611, + "step": 25366 + }, + { + "epoch": 0.6, + "grad_norm": 1.4585348678619205, + "learning_rate": 7.355838261780774e-06, + "loss": 0.857, + "step": 25367 + }, + { + "epoch": 0.6, + "grad_norm": 1.6256936887955389, + "learning_rate": 7.355102386063229e-06, + "loss": 0.7635, + "step": 25368 + }, + { + "epoch": 0.6, + "grad_norm": 1.4495478448834267, + "learning_rate": 7.354366525745121e-06, + "loss": 0.7644, + "step": 25369 + }, + { + "epoch": 0.6, + "grad_norm": 1.4865662568694975, + "learning_rate": 7.3536306808307256e-06, + "loss": 0.8208, + "step": 25370 + }, + { + "epoch": 0.6, + "grad_norm": 0.7756751289827908, + "learning_rate": 7.35289485132433e-06, + "loss": 0.7532, + "step": 25371 + }, + { + "epoch": 0.6, + "grad_norm": 2.0750930865577795, + "learning_rate": 7.352159037230218e-06, + "loss": 0.7448, + "step": 25372 + }, + { + "epoch": 0.6, + "grad_norm": 1.7659314790774363, + "learning_rate": 7.351423238552677e-06, + "loss": 0.8367, + "step": 25373 + }, + { + "epoch": 0.6, + "grad_norm": 0.7760963048907222, + "learning_rate": 7.3506874552959886e-06, + "loss": 0.7127, + "step": 25374 + }, + { + "epoch": 0.6, + "grad_norm": 1.5026354992509463, + "learning_rate": 7.349951687464434e-06, + "loss": 0.8654, + "step": 25375 + }, + { + "epoch": 0.6, + "grad_norm": 1.7040686680527781, + "learning_rate": 7.349215935062302e-06, + "loss": 0.8511, + "step": 25376 + }, + { + "epoch": 0.6, + "grad_norm": 1.6933326685398835, + "learning_rate": 7.348480198093871e-06, + "loss": 0.6449, + "step": 25377 + }, + { + "epoch": 0.6, + "grad_norm": 1.5860424421213954, + "learning_rate": 7.34774447656343e-06, + "loss": 0.9079, + "step": 25378 + }, + { + "epoch": 0.6, + "grad_norm": 1.8350605946480643, + "learning_rate": 7.347008770475259e-06, + "loss": 0.8398, + "step": 25379 + }, + { + "epoch": 0.6, + "grad_norm": 0.7485904630985356, + "learning_rate": 7.346273079833645e-06, + "loss": 0.7587, + "step": 25380 + }, + { + "epoch": 0.6, + "grad_norm": 1.8304889292244242, + "learning_rate": 7.3455374046428675e-06, + "loss": 0.933, + "step": 25381 + }, + { + "epoch": 0.6, + "grad_norm": 1.5389227184533125, + "learning_rate": 7.344801744907212e-06, + "loss": 0.8858, + "step": 25382 + }, + { + "epoch": 0.6, + "grad_norm": 1.5130352892992294, + "learning_rate": 7.344066100630963e-06, + "loss": 0.8265, + "step": 25383 + }, + { + "epoch": 0.6, + "grad_norm": 1.5469718038322302, + "learning_rate": 7.3433304718184004e-06, + "loss": 0.8496, + "step": 25384 + }, + { + "epoch": 0.6, + "grad_norm": 1.5111875121408305, + "learning_rate": 7.342594858473807e-06, + "loss": 0.7881, + "step": 25385 + }, + { + "epoch": 0.6, + "grad_norm": 0.7719381513830038, + "learning_rate": 7.34185926060147e-06, + "loss": 0.7094, + "step": 25386 + }, + { + "epoch": 0.6, + "grad_norm": 1.866359598569302, + "learning_rate": 7.34112367820567e-06, + "loss": 0.7894, + "step": 25387 + }, + { + "epoch": 0.6, + "grad_norm": 1.5869877918245243, + "learning_rate": 7.3403881112906905e-06, + "loss": 0.9161, + "step": 25388 + }, + { + "epoch": 0.6, + "grad_norm": 1.4765661079885224, + "learning_rate": 7.3396525598608105e-06, + "loss": 0.8212, + "step": 25389 + }, + { + "epoch": 0.6, + "grad_norm": 1.5284737050299113, + "learning_rate": 7.338917023920319e-06, + "loss": 0.8428, + "step": 25390 + }, + { + "epoch": 0.6, + "grad_norm": 1.650527665995247, + "learning_rate": 7.338181503473493e-06, + "loss": 0.823, + "step": 25391 + }, + { + "epoch": 0.6, + "grad_norm": 1.5114415723091963, + "learning_rate": 7.3374459985246146e-06, + "loss": 0.8068, + "step": 25392 + }, + { + "epoch": 0.6, + "grad_norm": 1.4140207746923346, + "learning_rate": 7.336710509077971e-06, + "loss": 0.9213, + "step": 25393 + }, + { + "epoch": 0.6, + "grad_norm": 1.7565665083019872, + "learning_rate": 7.335975035137845e-06, + "loss": 0.8699, + "step": 25394 + }, + { + "epoch": 0.6, + "grad_norm": 1.5500872530142293, + "learning_rate": 7.335239576708513e-06, + "loss": 0.8578, + "step": 25395 + }, + { + "epoch": 0.6, + "grad_norm": 1.780428739374251, + "learning_rate": 7.334504133794258e-06, + "loss": 0.8957, + "step": 25396 + }, + { + "epoch": 0.6, + "grad_norm": 1.739073887272121, + "learning_rate": 7.333768706399365e-06, + "loss": 0.7884, + "step": 25397 + }, + { + "epoch": 0.6, + "grad_norm": 1.5694929581739971, + "learning_rate": 7.333033294528118e-06, + "loss": 1.0054, + "step": 25398 + }, + { + "epoch": 0.6, + "grad_norm": 1.4507625213334014, + "learning_rate": 7.332297898184793e-06, + "loss": 0.9369, + "step": 25399 + }, + { + "epoch": 0.6, + "grad_norm": 1.6200583014779186, + "learning_rate": 7.331562517373672e-06, + "loss": 0.8257, + "step": 25400 + }, + { + "epoch": 0.6, + "grad_norm": 1.5562412066697762, + "learning_rate": 7.330827152099045e-06, + "loss": 0.8539, + "step": 25401 + }, + { + "epoch": 0.6, + "grad_norm": 1.4227617697079846, + "learning_rate": 7.3300918023651805e-06, + "loss": 0.9495, + "step": 25402 + }, + { + "epoch": 0.6, + "grad_norm": 1.6731895312513083, + "learning_rate": 7.32935646817637e-06, + "loss": 0.8683, + "step": 25403 + }, + { + "epoch": 0.6, + "grad_norm": 1.44249253797547, + "learning_rate": 7.32862114953689e-06, + "loss": 0.74, + "step": 25404 + }, + { + "epoch": 0.6, + "grad_norm": 0.8089591332177088, + "learning_rate": 7.327885846451026e-06, + "loss": 0.7636, + "step": 25405 + }, + { + "epoch": 0.6, + "grad_norm": 1.5997919373207354, + "learning_rate": 7.327150558923055e-06, + "loss": 0.7792, + "step": 25406 + }, + { + "epoch": 0.6, + "grad_norm": 1.494487116255993, + "learning_rate": 7.32641528695726e-06, + "loss": 0.8835, + "step": 25407 + }, + { + "epoch": 0.6, + "grad_norm": 1.6178172987955892, + "learning_rate": 7.3256800305579234e-06, + "loss": 0.9065, + "step": 25408 + }, + { + "epoch": 0.6, + "grad_norm": 0.7411716060881649, + "learning_rate": 7.3249447897293205e-06, + "loss": 0.634, + "step": 25409 + }, + { + "epoch": 0.6, + "grad_norm": 2.4823102904868124, + "learning_rate": 7.324209564475737e-06, + "loss": 0.8654, + "step": 25410 + }, + { + "epoch": 0.6, + "grad_norm": 1.5124200665705967, + "learning_rate": 7.323474354801454e-06, + "loss": 0.8571, + "step": 25411 + }, + { + "epoch": 0.6, + "grad_norm": 1.3774029076191718, + "learning_rate": 7.322739160710752e-06, + "loss": 0.8023, + "step": 25412 + }, + { + "epoch": 0.6, + "grad_norm": 1.8563874051357585, + "learning_rate": 7.3220039822079066e-06, + "loss": 0.7528, + "step": 25413 + }, + { + "epoch": 0.6, + "grad_norm": 1.6325451162860576, + "learning_rate": 7.321268819297204e-06, + "loss": 0.8444, + "step": 25414 + }, + { + "epoch": 0.6, + "grad_norm": 1.4543582853839525, + "learning_rate": 7.320533671982924e-06, + "loss": 0.7596, + "step": 25415 + }, + { + "epoch": 0.6, + "grad_norm": 0.802052251862085, + "learning_rate": 7.319798540269343e-06, + "loss": 0.6766, + "step": 25416 + }, + { + "epoch": 0.6, + "grad_norm": 1.4489913806892727, + "learning_rate": 7.319063424160742e-06, + "loss": 0.8171, + "step": 25417 + }, + { + "epoch": 0.6, + "grad_norm": 1.4504407321411898, + "learning_rate": 7.318328323661403e-06, + "loss": 0.7881, + "step": 25418 + }, + { + "epoch": 0.6, + "grad_norm": 1.9627151188687122, + "learning_rate": 7.31759323877561e-06, + "loss": 0.8371, + "step": 25419 + }, + { + "epoch": 0.6, + "grad_norm": 0.7467507276013989, + "learning_rate": 7.316858169507635e-06, + "loss": 0.7117, + "step": 25420 + }, + { + "epoch": 0.6, + "grad_norm": 2.1828180487373814, + "learning_rate": 7.31612311586176e-06, + "loss": 0.7597, + "step": 25421 + }, + { + "epoch": 0.6, + "grad_norm": 5.231807469735984, + "learning_rate": 7.315388077842269e-06, + "loss": 0.8356, + "step": 25422 + }, + { + "epoch": 0.6, + "grad_norm": 1.6329607213792179, + "learning_rate": 7.3146530554534355e-06, + "loss": 0.8245, + "step": 25423 + }, + { + "epoch": 0.6, + "grad_norm": 1.6574086967694397, + "learning_rate": 7.313918048699544e-06, + "loss": 0.8645, + "step": 25424 + }, + { + "epoch": 0.6, + "grad_norm": 1.935213249650836, + "learning_rate": 7.31318305758487e-06, + "loss": 0.8057, + "step": 25425 + }, + { + "epoch": 0.6, + "grad_norm": 1.4921518339565065, + "learning_rate": 7.3124480821136974e-06, + "loss": 0.832, + "step": 25426 + }, + { + "epoch": 0.6, + "grad_norm": 1.9333455450249135, + "learning_rate": 7.3117131222903025e-06, + "loss": 0.7727, + "step": 25427 + }, + { + "epoch": 0.6, + "grad_norm": 1.8994241306018482, + "learning_rate": 7.3109781781189635e-06, + "loss": 0.8069, + "step": 25428 + }, + { + "epoch": 0.6, + "grad_norm": 1.529039073230126, + "learning_rate": 7.310243249603963e-06, + "loss": 0.8858, + "step": 25429 + }, + { + "epoch": 0.6, + "grad_norm": 1.7763654205769344, + "learning_rate": 7.309508336749576e-06, + "loss": 0.9063, + "step": 25430 + }, + { + "epoch": 0.6, + "grad_norm": 0.7512739536777113, + "learning_rate": 7.308773439560083e-06, + "loss": 0.7125, + "step": 25431 + }, + { + "epoch": 0.6, + "grad_norm": 1.5571930968677608, + "learning_rate": 7.308038558039762e-06, + "loss": 0.9071, + "step": 25432 + }, + { + "epoch": 0.6, + "grad_norm": 1.5787386305565623, + "learning_rate": 7.307303692192899e-06, + "loss": 0.9362, + "step": 25433 + }, + { + "epoch": 0.6, + "grad_norm": 0.7626563917726445, + "learning_rate": 7.306568842023759e-06, + "loss": 0.7174, + "step": 25434 + }, + { + "epoch": 0.6, + "grad_norm": 1.6172580959136658, + "learning_rate": 7.305834007536632e-06, + "loss": 0.79, + "step": 25435 + }, + { + "epoch": 0.6, + "grad_norm": 0.7332176783656026, + "learning_rate": 7.305099188735793e-06, + "loss": 0.6731, + "step": 25436 + }, + { + "epoch": 0.6, + "grad_norm": 1.5724655056522712, + "learning_rate": 7.3043643856255175e-06, + "loss": 0.858, + "step": 25437 + }, + { + "epoch": 0.6, + "grad_norm": 0.8261644494855069, + "learning_rate": 7.303629598210084e-06, + "loss": 0.7983, + "step": 25438 + }, + { + "epoch": 0.6, + "grad_norm": 2.247698530701456, + "learning_rate": 7.302894826493775e-06, + "loss": 0.8592, + "step": 25439 + }, + { + "epoch": 0.6, + "grad_norm": 1.894248474631495, + "learning_rate": 7.302160070480869e-06, + "loss": 0.8054, + "step": 25440 + }, + { + "epoch": 0.6, + "grad_norm": 1.7263319598521187, + "learning_rate": 7.301425330175635e-06, + "loss": 0.8538, + "step": 25441 + }, + { + "epoch": 0.6, + "grad_norm": 1.507944045920637, + "learning_rate": 7.300690605582361e-06, + "loss": 0.7294, + "step": 25442 + }, + { + "epoch": 0.6, + "grad_norm": 1.9845302543756556, + "learning_rate": 7.299955896705323e-06, + "loss": 0.7709, + "step": 25443 + }, + { + "epoch": 0.6, + "grad_norm": 1.5959404936768318, + "learning_rate": 7.299221203548794e-06, + "loss": 0.9499, + "step": 25444 + }, + { + "epoch": 0.6, + "grad_norm": 1.6376713447886952, + "learning_rate": 7.2984865261170525e-06, + "loss": 0.8792, + "step": 25445 + }, + { + "epoch": 0.6, + "grad_norm": 2.325154495739654, + "learning_rate": 7.29775186441438e-06, + "loss": 0.7437, + "step": 25446 + }, + { + "epoch": 0.6, + "grad_norm": 1.7282780448981974, + "learning_rate": 7.2970172184450525e-06, + "loss": 0.9273, + "step": 25447 + }, + { + "epoch": 0.6, + "grad_norm": 2.3485862137955955, + "learning_rate": 7.296282588213345e-06, + "loss": 1.0084, + "step": 25448 + }, + { + "epoch": 0.6, + "grad_norm": 1.5836818801413781, + "learning_rate": 7.295547973723533e-06, + "loss": 0.8953, + "step": 25449 + }, + { + "epoch": 0.6, + "grad_norm": 1.5949854100858873, + "learning_rate": 7.294813374979906e-06, + "loss": 0.9151, + "step": 25450 + }, + { + "epoch": 0.6, + "grad_norm": 0.7673892670854755, + "learning_rate": 7.294078791986723e-06, + "loss": 0.6791, + "step": 25451 + }, + { + "epoch": 0.6, + "grad_norm": 1.7322286456545362, + "learning_rate": 7.293344224748274e-06, + "loss": 1.0435, + "step": 25452 + }, + { + "epoch": 0.6, + "grad_norm": 1.7232121500500144, + "learning_rate": 7.292609673268829e-06, + "loss": 0.8891, + "step": 25453 + }, + { + "epoch": 0.6, + "grad_norm": 1.4553016946878137, + "learning_rate": 7.291875137552671e-06, + "loss": 0.7233, + "step": 25454 + }, + { + "epoch": 0.6, + "grad_norm": 1.5816225515171702, + "learning_rate": 7.291140617604072e-06, + "loss": 0.8372, + "step": 25455 + }, + { + "epoch": 0.6, + "grad_norm": 1.8126223672719761, + "learning_rate": 7.2904061134273105e-06, + "loss": 0.9179, + "step": 25456 + }, + { + "epoch": 0.6, + "grad_norm": 1.6290594934801732, + "learning_rate": 7.289671625026664e-06, + "loss": 0.9137, + "step": 25457 + }, + { + "epoch": 0.6, + "grad_norm": 1.6028348703765407, + "learning_rate": 7.288937152406404e-06, + "loss": 0.8458, + "step": 25458 + }, + { + "epoch": 0.6, + "grad_norm": 1.5127056997184525, + "learning_rate": 7.28820269557081e-06, + "loss": 0.7669, + "step": 25459 + }, + { + "epoch": 0.6, + "grad_norm": 1.5881324553271297, + "learning_rate": 7.2874682545241604e-06, + "loss": 0.7907, + "step": 25460 + }, + { + "epoch": 0.6, + "grad_norm": 1.767434139423436, + "learning_rate": 7.286733829270731e-06, + "loss": 0.9392, + "step": 25461 + }, + { + "epoch": 0.6, + "grad_norm": 1.3462460089641974, + "learning_rate": 7.285999419814792e-06, + "loss": 0.9348, + "step": 25462 + }, + { + "epoch": 0.6, + "grad_norm": 1.6166451218322537, + "learning_rate": 7.285265026160626e-06, + "loss": 0.8526, + "step": 25463 + }, + { + "epoch": 0.6, + "grad_norm": 2.3728257718784667, + "learning_rate": 7.284530648312509e-06, + "loss": 0.8038, + "step": 25464 + }, + { + "epoch": 0.6, + "grad_norm": 1.7076631666416089, + "learning_rate": 7.283796286274711e-06, + "loss": 0.8144, + "step": 25465 + }, + { + "epoch": 0.6, + "grad_norm": 1.5295565175300683, + "learning_rate": 7.283061940051509e-06, + "loss": 0.7896, + "step": 25466 + }, + { + "epoch": 0.6, + "grad_norm": 2.933148487528754, + "learning_rate": 7.2823276096471825e-06, + "loss": 0.983, + "step": 25467 + }, + { + "epoch": 0.6, + "grad_norm": 1.5372925937760231, + "learning_rate": 7.281593295066008e-06, + "loss": 0.7178, + "step": 25468 + }, + { + "epoch": 0.6, + "grad_norm": 1.5713351174338943, + "learning_rate": 7.280858996312255e-06, + "loss": 0.8621, + "step": 25469 + }, + { + "epoch": 0.6, + "grad_norm": 2.320721512365127, + "learning_rate": 7.280124713390201e-06, + "loss": 0.9212, + "step": 25470 + }, + { + "epoch": 0.6, + "grad_norm": 1.5276326566867244, + "learning_rate": 7.279390446304125e-06, + "loss": 0.8285, + "step": 25471 + }, + { + "epoch": 0.6, + "grad_norm": 1.6096007031655228, + "learning_rate": 7.278656195058298e-06, + "loss": 0.9496, + "step": 25472 + }, + { + "epoch": 0.6, + "grad_norm": 1.485988662220139, + "learning_rate": 7.277921959656995e-06, + "loss": 0.87, + "step": 25473 + }, + { + "epoch": 0.6, + "grad_norm": 1.724238252599017, + "learning_rate": 7.277187740104492e-06, + "loss": 0.8719, + "step": 25474 + }, + { + "epoch": 0.6, + "grad_norm": 1.7141027156778912, + "learning_rate": 7.276453536405066e-06, + "loss": 0.8088, + "step": 25475 + }, + { + "epoch": 0.6, + "grad_norm": 2.091288173207551, + "learning_rate": 7.275719348562989e-06, + "loss": 0.8129, + "step": 25476 + }, + { + "epoch": 0.6, + "grad_norm": 1.4466918496865158, + "learning_rate": 7.274985176582536e-06, + "loss": 0.8744, + "step": 25477 + }, + { + "epoch": 0.6, + "grad_norm": 1.6633022159528412, + "learning_rate": 7.274251020467984e-06, + "loss": 0.9008, + "step": 25478 + }, + { + "epoch": 0.6, + "grad_norm": 0.8152469522341554, + "learning_rate": 7.273516880223601e-06, + "loss": 0.752, + "step": 25479 + }, + { + "epoch": 0.6, + "grad_norm": 0.7661174154230852, + "learning_rate": 7.272782755853669e-06, + "loss": 0.6992, + "step": 25480 + }, + { + "epoch": 0.6, + "grad_norm": 1.4779855695584385, + "learning_rate": 7.272048647362457e-06, + "loss": 0.8363, + "step": 25481 + }, + { + "epoch": 0.6, + "grad_norm": 1.7391651183816426, + "learning_rate": 7.2713145547542475e-06, + "loss": 0.916, + "step": 25482 + }, + { + "epoch": 0.6, + "grad_norm": 0.7698583032151396, + "learning_rate": 7.270580478033302e-06, + "loss": 0.7063, + "step": 25483 + }, + { + "epoch": 0.6, + "grad_norm": 1.4661300556360568, + "learning_rate": 7.269846417203903e-06, + "loss": 0.8726, + "step": 25484 + }, + { + "epoch": 0.6, + "grad_norm": 1.6277708329777936, + "learning_rate": 7.269112372270325e-06, + "loss": 0.8665, + "step": 25485 + }, + { + "epoch": 0.6, + "grad_norm": 1.4606636066011158, + "learning_rate": 7.268378343236837e-06, + "loss": 0.806, + "step": 25486 + }, + { + "epoch": 0.6, + "grad_norm": 1.4727225764009315, + "learning_rate": 7.267644330107714e-06, + "loss": 0.7921, + "step": 25487 + }, + { + "epoch": 0.6, + "grad_norm": 1.5678742249305202, + "learning_rate": 7.266910332887231e-06, + "loss": 0.7921, + "step": 25488 + }, + { + "epoch": 0.6, + "grad_norm": 1.5898934598444165, + "learning_rate": 7.266176351579666e-06, + "loss": 0.904, + "step": 25489 + }, + { + "epoch": 0.6, + "grad_norm": 1.6617909155896278, + "learning_rate": 7.265442386189281e-06, + "loss": 0.907, + "step": 25490 + }, + { + "epoch": 0.6, + "grad_norm": 1.8010354495210397, + "learning_rate": 7.26470843672036e-06, + "loss": 0.8336, + "step": 25491 + }, + { + "epoch": 0.6, + "grad_norm": 1.4936916285787611, + "learning_rate": 7.263974503177174e-06, + "loss": 0.9624, + "step": 25492 + }, + { + "epoch": 0.6, + "grad_norm": 1.4606994993079836, + "learning_rate": 7.263240585563991e-06, + "loss": 0.8425, + "step": 25493 + }, + { + "epoch": 0.6, + "grad_norm": 0.7849030736296342, + "learning_rate": 7.262506683885088e-06, + "loss": 0.6865, + "step": 25494 + }, + { + "epoch": 0.6, + "grad_norm": 1.4864147355249304, + "learning_rate": 7.26177279814474e-06, + "loss": 0.8371, + "step": 25495 + }, + { + "epoch": 0.6, + "grad_norm": 1.8091335632922996, + "learning_rate": 7.261038928347217e-06, + "loss": 0.8707, + "step": 25496 + }, + { + "epoch": 0.6, + "grad_norm": 1.446872596239553, + "learning_rate": 7.260305074496793e-06, + "loss": 0.9107, + "step": 25497 + }, + { + "epoch": 0.6, + "grad_norm": 1.406602369349781, + "learning_rate": 7.259571236597737e-06, + "loss": 0.8834, + "step": 25498 + }, + { + "epoch": 0.6, + "grad_norm": 1.4858323509395315, + "learning_rate": 7.2588374146543315e-06, + "loss": 0.957, + "step": 25499 + }, + { + "epoch": 0.6, + "grad_norm": 1.5520971720417112, + "learning_rate": 7.258103608670835e-06, + "loss": 0.7607, + "step": 25500 + }, + { + "epoch": 0.6, + "grad_norm": 2.0454879106035175, + "learning_rate": 7.2573698186515316e-06, + "loss": 0.8592, + "step": 25501 + }, + { + "epoch": 0.6, + "grad_norm": 2.024303565886224, + "learning_rate": 7.256636044600687e-06, + "loss": 0.8517, + "step": 25502 + }, + { + "epoch": 0.6, + "grad_norm": 2.6905013277594203, + "learning_rate": 7.255902286522578e-06, + "loss": 0.7491, + "step": 25503 + }, + { + "epoch": 0.6, + "grad_norm": 1.9577959770434823, + "learning_rate": 7.255168544421473e-06, + "loss": 0.9458, + "step": 25504 + }, + { + "epoch": 0.6, + "grad_norm": 1.5423386571773334, + "learning_rate": 7.254434818301648e-06, + "loss": 0.9526, + "step": 25505 + }, + { + "epoch": 0.6, + "grad_norm": 1.4770742511263903, + "learning_rate": 7.253701108167373e-06, + "loss": 0.8404, + "step": 25506 + }, + { + "epoch": 0.6, + "grad_norm": 1.5574590411740596, + "learning_rate": 7.252967414022915e-06, + "loss": 0.8949, + "step": 25507 + }, + { + "epoch": 0.6, + "grad_norm": 0.7679094071245058, + "learning_rate": 7.252233735872554e-06, + "loss": 0.74, + "step": 25508 + }, + { + "epoch": 0.6, + "grad_norm": 1.5027180133243814, + "learning_rate": 7.251500073720558e-06, + "loss": 0.8842, + "step": 25509 + }, + { + "epoch": 0.6, + "grad_norm": 1.7765980461258943, + "learning_rate": 7.2507664275712e-06, + "loss": 0.8685, + "step": 25510 + }, + { + "epoch": 0.6, + "grad_norm": 1.477808045123796, + "learning_rate": 7.250032797428746e-06, + "loss": 1.0132, + "step": 25511 + }, + { + "epoch": 0.6, + "grad_norm": 1.7193813009038679, + "learning_rate": 7.249299183297475e-06, + "loss": 0.8898, + "step": 25512 + }, + { + "epoch": 0.6, + "grad_norm": 1.5867824966104878, + "learning_rate": 7.248565585181655e-06, + "loss": 0.8725, + "step": 25513 + }, + { + "epoch": 0.6, + "grad_norm": 0.8179132228114062, + "learning_rate": 7.2478320030855576e-06, + "loss": 0.7205, + "step": 25514 + }, + { + "epoch": 0.6, + "grad_norm": 1.8258201622997832, + "learning_rate": 7.247098437013449e-06, + "loss": 0.7764, + "step": 25515 + }, + { + "epoch": 0.6, + "grad_norm": 1.6165081199691784, + "learning_rate": 7.246364886969609e-06, + "loss": 0.9076, + "step": 25516 + }, + { + "epoch": 0.6, + "grad_norm": 1.4622479938646535, + "learning_rate": 7.245631352958306e-06, + "loss": 0.8082, + "step": 25517 + }, + { + "epoch": 0.6, + "grad_norm": 1.5889895422956404, + "learning_rate": 7.244897834983806e-06, + "loss": 0.8809, + "step": 25518 + }, + { + "epoch": 0.6, + "grad_norm": 1.6681819530239699, + "learning_rate": 7.244164333050383e-06, + "loss": 0.9163, + "step": 25519 + }, + { + "epoch": 0.6, + "grad_norm": 1.6734545551574842, + "learning_rate": 7.243430847162308e-06, + "loss": 0.9089, + "step": 25520 + }, + { + "epoch": 0.6, + "grad_norm": 1.5336332901837944, + "learning_rate": 7.242697377323854e-06, + "loss": 0.9986, + "step": 25521 + }, + { + "epoch": 0.6, + "grad_norm": 1.932676944102785, + "learning_rate": 7.241963923539287e-06, + "loss": 0.7697, + "step": 25522 + }, + { + "epoch": 0.6, + "grad_norm": 1.5291241223802423, + "learning_rate": 7.241230485812877e-06, + "loss": 0.7548, + "step": 25523 + }, + { + "epoch": 0.6, + "grad_norm": 1.8823664634196922, + "learning_rate": 7.2404970641489015e-06, + "loss": 0.8894, + "step": 25524 + }, + { + "epoch": 0.6, + "grad_norm": 0.8583811716780637, + "learning_rate": 7.2397636585516215e-06, + "loss": 0.7066, + "step": 25525 + }, + { + "epoch": 0.6, + "grad_norm": 2.123526108125039, + "learning_rate": 7.239030269025311e-06, + "loss": 0.9163, + "step": 25526 + }, + { + "epoch": 0.6, + "grad_norm": 1.494852046267675, + "learning_rate": 7.238296895574242e-06, + "loss": 0.7896, + "step": 25527 + }, + { + "epoch": 0.6, + "grad_norm": 1.6365956944478108, + "learning_rate": 7.237563538202685e-06, + "loss": 0.8733, + "step": 25528 + }, + { + "epoch": 0.6, + "grad_norm": 1.6443529813566562, + "learning_rate": 7.2368301969149054e-06, + "loss": 0.8644, + "step": 25529 + }, + { + "epoch": 0.6, + "grad_norm": 1.8544319040805242, + "learning_rate": 7.236096871715174e-06, + "loss": 0.8482, + "step": 25530 + }, + { + "epoch": 0.6, + "grad_norm": 1.7707436119723599, + "learning_rate": 7.2353635626077664e-06, + "loss": 0.9197, + "step": 25531 + }, + { + "epoch": 0.6, + "grad_norm": 1.8408709958767744, + "learning_rate": 7.234630269596943e-06, + "loss": 0.826, + "step": 25532 + }, + { + "epoch": 0.6, + "grad_norm": 1.6692925231382287, + "learning_rate": 7.233896992686977e-06, + "loss": 0.7959, + "step": 25533 + }, + { + "epoch": 0.6, + "grad_norm": 1.5574755203426294, + "learning_rate": 7.233163731882139e-06, + "loss": 0.8099, + "step": 25534 + }, + { + "epoch": 0.6, + "grad_norm": 1.634606454868502, + "learning_rate": 7.2324304871867036e-06, + "loss": 0.9623, + "step": 25535 + }, + { + "epoch": 0.6, + "grad_norm": 1.5005115890647813, + "learning_rate": 7.231697258604926e-06, + "loss": 0.7867, + "step": 25536 + }, + { + "epoch": 0.6, + "grad_norm": 1.782834160370677, + "learning_rate": 7.230964046141087e-06, + "loss": 0.8862, + "step": 25537 + }, + { + "epoch": 0.6, + "grad_norm": 1.6977690360768165, + "learning_rate": 7.230230849799454e-06, + "loss": 0.8841, + "step": 25538 + }, + { + "epoch": 0.6, + "grad_norm": 1.6623576624538876, + "learning_rate": 7.229497669584289e-06, + "loss": 0.8144, + "step": 25539 + }, + { + "epoch": 0.6, + "grad_norm": 1.632812270226217, + "learning_rate": 7.228764505499869e-06, + "loss": 0.8528, + "step": 25540 + }, + { + "epoch": 0.6, + "grad_norm": 1.6816813529801593, + "learning_rate": 7.228031357550458e-06, + "loss": 0.9844, + "step": 25541 + }, + { + "epoch": 0.6, + "grad_norm": 1.6846433256227997, + "learning_rate": 7.227298225740329e-06, + "loss": 0.8879, + "step": 25542 + }, + { + "epoch": 0.6, + "grad_norm": 1.7626711739395762, + "learning_rate": 7.226565110073743e-06, + "loss": 0.96, + "step": 25543 + }, + { + "epoch": 0.6, + "grad_norm": 1.8464580278242992, + "learning_rate": 7.225832010554976e-06, + "loss": 0.7943, + "step": 25544 + }, + { + "epoch": 0.6, + "grad_norm": 3.5646846405379455, + "learning_rate": 7.225098927188294e-06, + "loss": 0.7869, + "step": 25545 + }, + { + "epoch": 0.6, + "grad_norm": 1.8811405138019937, + "learning_rate": 7.2243658599779645e-06, + "loss": 0.8125, + "step": 25546 + }, + { + "epoch": 0.6, + "grad_norm": 2.081025092408679, + "learning_rate": 7.223632808928252e-06, + "loss": 0.8204, + "step": 25547 + }, + { + "epoch": 0.6, + "grad_norm": 1.9835368277751508, + "learning_rate": 7.22289977404343e-06, + "loss": 0.7403, + "step": 25548 + }, + { + "epoch": 0.6, + "grad_norm": 1.5000551782178528, + "learning_rate": 7.222166755327768e-06, + "loss": 0.756, + "step": 25549 + }, + { + "epoch": 0.6, + "grad_norm": 1.552199386105149, + "learning_rate": 7.221433752785527e-06, + "loss": 0.7699, + "step": 25550 + }, + { + "epoch": 0.6, + "grad_norm": 1.7190465108164477, + "learning_rate": 7.2207007664209785e-06, + "loss": 0.7307, + "step": 25551 + }, + { + "epoch": 0.6, + "grad_norm": 1.492827024848564, + "learning_rate": 7.2199677962383915e-06, + "loss": 0.9065, + "step": 25552 + }, + { + "epoch": 0.6, + "grad_norm": 1.9045725513173075, + "learning_rate": 7.219234842242032e-06, + "loss": 0.7906, + "step": 25553 + }, + { + "epoch": 0.6, + "grad_norm": 1.6119062795315942, + "learning_rate": 7.2185019044361675e-06, + "loss": 0.9177, + "step": 25554 + }, + { + "epoch": 0.6, + "grad_norm": 1.517879096501686, + "learning_rate": 7.217768982825062e-06, + "loss": 0.8242, + "step": 25555 + }, + { + "epoch": 0.6, + "grad_norm": 1.7517205303090753, + "learning_rate": 7.217036077412992e-06, + "loss": 0.8405, + "step": 25556 + }, + { + "epoch": 0.6, + "grad_norm": 1.439423588614053, + "learning_rate": 7.216303188204217e-06, + "loss": 0.7885, + "step": 25557 + }, + { + "epoch": 0.6, + "grad_norm": 1.464013774066656, + "learning_rate": 7.215570315203006e-06, + "loss": 0.8383, + "step": 25558 + }, + { + "epoch": 0.6, + "grad_norm": 1.596700798614734, + "learning_rate": 7.2148374584136274e-06, + "loss": 0.8301, + "step": 25559 + }, + { + "epoch": 0.6, + "grad_norm": 1.6146613818465714, + "learning_rate": 7.214104617840343e-06, + "loss": 0.7506, + "step": 25560 + }, + { + "epoch": 0.6, + "grad_norm": 1.572145837776528, + "learning_rate": 7.213371793487426e-06, + "loss": 0.893, + "step": 25561 + }, + { + "epoch": 0.6, + "grad_norm": 1.5118481554439416, + "learning_rate": 7.212638985359139e-06, + "loss": 0.7542, + "step": 25562 + }, + { + "epoch": 0.6, + "grad_norm": 1.6442978715756802, + "learning_rate": 7.2119061934597545e-06, + "loss": 0.8461, + "step": 25563 + }, + { + "epoch": 0.6, + "grad_norm": 0.7384095151887016, + "learning_rate": 7.211173417793531e-06, + "loss": 0.6914, + "step": 25564 + }, + { + "epoch": 0.6, + "grad_norm": 1.6861706550001014, + "learning_rate": 7.210440658364739e-06, + "loss": 0.8811, + "step": 25565 + }, + { + "epoch": 0.6, + "grad_norm": 1.604411400131276, + "learning_rate": 7.209707915177648e-06, + "loss": 0.9305, + "step": 25566 + }, + { + "epoch": 0.6, + "grad_norm": 1.5221674677879256, + "learning_rate": 7.208975188236518e-06, + "loss": 0.8008, + "step": 25567 + }, + { + "epoch": 0.6, + "grad_norm": 0.7779299984661839, + "learning_rate": 7.208242477545618e-06, + "loss": 0.7003, + "step": 25568 + }, + { + "epoch": 0.6, + "grad_norm": 2.0037429306555588, + "learning_rate": 7.2075097831092135e-06, + "loss": 0.8426, + "step": 25569 + }, + { + "epoch": 0.6, + "grad_norm": 1.8370826975619043, + "learning_rate": 7.206777104931575e-06, + "loss": 0.8336, + "step": 25570 + }, + { + "epoch": 0.6, + "grad_norm": 0.7824604707724312, + "learning_rate": 7.2060444430169615e-06, + "loss": 0.7263, + "step": 25571 + }, + { + "epoch": 0.6, + "grad_norm": 1.6670957177800128, + "learning_rate": 7.20531179736964e-06, + "loss": 0.9048, + "step": 25572 + }, + { + "epoch": 0.6, + "grad_norm": 1.5243897331102871, + "learning_rate": 7.204579167993881e-06, + "loss": 0.7881, + "step": 25573 + }, + { + "epoch": 0.6, + "grad_norm": 3.5247676583596927, + "learning_rate": 7.203846554893947e-06, + "loss": 0.7099, + "step": 25574 + }, + { + "epoch": 0.6, + "grad_norm": 1.6524531395727073, + "learning_rate": 7.203113958074101e-06, + "loss": 0.8708, + "step": 25575 + }, + { + "epoch": 0.6, + "grad_norm": 1.3911825587421318, + "learning_rate": 7.202381377538612e-06, + "loss": 0.9194, + "step": 25576 + }, + { + "epoch": 0.6, + "grad_norm": 1.5973960967706504, + "learning_rate": 7.201648813291748e-06, + "loss": 0.8307, + "step": 25577 + }, + { + "epoch": 0.6, + "grad_norm": 1.6671104419062923, + "learning_rate": 7.200916265337767e-06, + "loss": 0.714, + "step": 25578 + }, + { + "epoch": 0.6, + "grad_norm": 1.4967463137729493, + "learning_rate": 7.200183733680937e-06, + "loss": 0.9114, + "step": 25579 + }, + { + "epoch": 0.6, + "grad_norm": 1.7498138064386783, + "learning_rate": 7.1994512183255284e-06, + "loss": 0.9255, + "step": 25580 + }, + { + "epoch": 0.6, + "grad_norm": 1.5951880444410012, + "learning_rate": 7.1987187192757965e-06, + "loss": 0.773, + "step": 25581 + }, + { + "epoch": 0.6, + "grad_norm": 1.5545291585438896, + "learning_rate": 7.1979862365360135e-06, + "loss": 0.9132, + "step": 25582 + }, + { + "epoch": 0.6, + "grad_norm": 0.8025565766615914, + "learning_rate": 7.197253770110438e-06, + "loss": 0.7432, + "step": 25583 + }, + { + "epoch": 0.6, + "grad_norm": 1.9634839590050808, + "learning_rate": 7.196521320003346e-06, + "loss": 0.7338, + "step": 25584 + }, + { + "epoch": 0.6, + "grad_norm": 1.371090779910919, + "learning_rate": 7.195788886218987e-06, + "loss": 0.7596, + "step": 25585 + }, + { + "epoch": 0.6, + "grad_norm": 1.7319416592126236, + "learning_rate": 7.195056468761637e-06, + "loss": 0.81, + "step": 25586 + }, + { + "epoch": 0.6, + "grad_norm": 1.7829795854592247, + "learning_rate": 7.194324067635556e-06, + "loss": 0.8301, + "step": 25587 + }, + { + "epoch": 0.6, + "grad_norm": 2.114801378530479, + "learning_rate": 7.193591682845006e-06, + "loss": 0.8012, + "step": 25588 + }, + { + "epoch": 0.6, + "grad_norm": 0.7999809007012326, + "learning_rate": 7.192859314394255e-06, + "loss": 0.7059, + "step": 25589 + }, + { + "epoch": 0.6, + "grad_norm": 2.1511307088351583, + "learning_rate": 7.1921269622875655e-06, + "loss": 0.9191, + "step": 25590 + }, + { + "epoch": 0.6, + "grad_norm": 1.5614000950371871, + "learning_rate": 7.191394626529204e-06, + "loss": 0.8162, + "step": 25591 + }, + { + "epoch": 0.6, + "grad_norm": 1.7303234156637513, + "learning_rate": 7.190662307123428e-06, + "loss": 0.8539, + "step": 25592 + }, + { + "epoch": 0.6, + "grad_norm": 1.6199406791185598, + "learning_rate": 7.189930004074509e-06, + "loss": 0.784, + "step": 25593 + }, + { + "epoch": 0.6, + "grad_norm": 1.5822483481316894, + "learning_rate": 7.189197717386709e-06, + "loss": 0.7119, + "step": 25594 + }, + { + "epoch": 0.6, + "grad_norm": 1.5081147205034047, + "learning_rate": 7.188465447064286e-06, + "loss": 0.8951, + "step": 25595 + }, + { + "epoch": 0.6, + "grad_norm": 2.432814268926538, + "learning_rate": 7.187733193111505e-06, + "loss": 0.8654, + "step": 25596 + }, + { + "epoch": 0.6, + "grad_norm": 1.4612162292341537, + "learning_rate": 7.187000955532636e-06, + "loss": 0.8186, + "step": 25597 + }, + { + "epoch": 0.6, + "grad_norm": 1.6487284159708284, + "learning_rate": 7.186268734331938e-06, + "loss": 0.8718, + "step": 25598 + }, + { + "epoch": 0.6, + "grad_norm": 0.7332861791954117, + "learning_rate": 7.1855365295136746e-06, + "loss": 0.7726, + "step": 25599 + }, + { + "epoch": 0.6, + "grad_norm": 1.6824411775573256, + "learning_rate": 7.184804341082104e-06, + "loss": 0.8044, + "step": 25600 + }, + { + "epoch": 0.6, + "grad_norm": 1.5486602189347214, + "learning_rate": 7.184072169041499e-06, + "loss": 0.769, + "step": 25601 + }, + { + "epoch": 0.6, + "grad_norm": 1.5583778251347826, + "learning_rate": 7.183340013396116e-06, + "loss": 0.9531, + "step": 25602 + }, + { + "epoch": 0.6, + "grad_norm": 1.746509447814473, + "learning_rate": 7.182607874150218e-06, + "loss": 0.7799, + "step": 25603 + }, + { + "epoch": 0.6, + "grad_norm": 1.5951536585820685, + "learning_rate": 7.181875751308067e-06, + "loss": 0.9626, + "step": 25604 + }, + { + "epoch": 0.6, + "grad_norm": 1.4521654195336084, + "learning_rate": 7.181143644873932e-06, + "loss": 0.9144, + "step": 25605 + }, + { + "epoch": 0.6, + "grad_norm": 1.5737271086016027, + "learning_rate": 7.1804115548520695e-06, + "loss": 0.9563, + "step": 25606 + }, + { + "epoch": 0.6, + "grad_norm": 1.6874030245612284, + "learning_rate": 7.179679481246743e-06, + "loss": 0.748, + "step": 25607 + }, + { + "epoch": 0.6, + "grad_norm": 1.4196191918946455, + "learning_rate": 7.178947424062217e-06, + "loss": 0.8484, + "step": 25608 + }, + { + "epoch": 0.6, + "grad_norm": 1.683613420662507, + "learning_rate": 7.178215383302749e-06, + "loss": 0.846, + "step": 25609 + }, + { + "epoch": 0.6, + "grad_norm": 0.8087520688048474, + "learning_rate": 7.177483358972607e-06, + "loss": 0.7007, + "step": 25610 + }, + { + "epoch": 0.6, + "grad_norm": 1.5028700332594978, + "learning_rate": 7.17675135107605e-06, + "loss": 0.8975, + "step": 25611 + }, + { + "epoch": 0.6, + "grad_norm": 1.6772609767468665, + "learning_rate": 7.176019359617341e-06, + "loss": 0.9075, + "step": 25612 + }, + { + "epoch": 0.6, + "grad_norm": 1.4174803848558954, + "learning_rate": 7.17528738460074e-06, + "loss": 0.7341, + "step": 25613 + }, + { + "epoch": 0.6, + "grad_norm": 1.8219259184757695, + "learning_rate": 7.17455542603051e-06, + "loss": 0.8083, + "step": 25614 + }, + { + "epoch": 0.6, + "grad_norm": 1.5139418004843253, + "learning_rate": 7.173823483910916e-06, + "loss": 0.8158, + "step": 25615 + }, + { + "epoch": 0.6, + "grad_norm": 1.742688746172299, + "learning_rate": 7.173091558246214e-06, + "loss": 1.0036, + "step": 25616 + }, + { + "epoch": 0.6, + "grad_norm": 1.586215050947139, + "learning_rate": 7.172359649040666e-06, + "loss": 0.7403, + "step": 25617 + }, + { + "epoch": 0.6, + "grad_norm": 1.5560931065278365, + "learning_rate": 7.171627756298536e-06, + "loss": 0.9068, + "step": 25618 + }, + { + "epoch": 0.6, + "grad_norm": 1.6744930793495445, + "learning_rate": 7.170895880024088e-06, + "loss": 0.8503, + "step": 25619 + }, + { + "epoch": 0.6, + "grad_norm": 1.7080518598326855, + "learning_rate": 7.170164020221577e-06, + "loss": 0.8746, + "step": 25620 + }, + { + "epoch": 0.6, + "grad_norm": 1.5640812779361275, + "learning_rate": 7.169432176895266e-06, + "loss": 0.899, + "step": 25621 + }, + { + "epoch": 0.6, + "grad_norm": 1.6782392263461545, + "learning_rate": 7.168700350049421e-06, + "loss": 0.897, + "step": 25622 + }, + { + "epoch": 0.6, + "grad_norm": 0.751525494799163, + "learning_rate": 7.1679685396882966e-06, + "loss": 0.7645, + "step": 25623 + }, + { + "epoch": 0.6, + "grad_norm": 1.485242998782556, + "learning_rate": 7.167236745816154e-06, + "loss": 0.897, + "step": 25624 + }, + { + "epoch": 0.6, + "grad_norm": 1.427420607377171, + "learning_rate": 7.166504968437258e-06, + "loss": 0.8781, + "step": 25625 + }, + { + "epoch": 0.6, + "grad_norm": 1.4839077923432524, + "learning_rate": 7.165773207555869e-06, + "loss": 0.8115, + "step": 25626 + }, + { + "epoch": 0.6, + "grad_norm": 0.7557708424400584, + "learning_rate": 7.165041463176243e-06, + "loss": 0.7569, + "step": 25627 + }, + { + "epoch": 0.6, + "grad_norm": 1.8855481796497713, + "learning_rate": 7.164309735302643e-06, + "loss": 0.7531, + "step": 25628 + }, + { + "epoch": 0.6, + "grad_norm": 1.4158779500345928, + "learning_rate": 7.163578023939335e-06, + "loss": 0.7113, + "step": 25629 + }, + { + "epoch": 0.6, + "grad_norm": 1.5198376350218783, + "learning_rate": 7.162846329090566e-06, + "loss": 0.8581, + "step": 25630 + }, + { + "epoch": 0.6, + "grad_norm": 1.6016194011084937, + "learning_rate": 7.162114650760608e-06, + "loss": 0.8573, + "step": 25631 + }, + { + "epoch": 0.6, + "grad_norm": 1.5782235534610067, + "learning_rate": 7.161382988953714e-06, + "loss": 0.9299, + "step": 25632 + }, + { + "epoch": 0.6, + "grad_norm": 1.6629919070621475, + "learning_rate": 7.160651343674152e-06, + "loss": 0.9838, + "step": 25633 + }, + { + "epoch": 0.6, + "grad_norm": 1.7101276992157919, + "learning_rate": 7.159919714926171e-06, + "loss": 0.9161, + "step": 25634 + }, + { + "epoch": 0.6, + "grad_norm": 1.986416181291756, + "learning_rate": 7.15918810271404e-06, + "loss": 0.7981, + "step": 25635 + }, + { + "epoch": 0.6, + "grad_norm": 1.8830157906529013, + "learning_rate": 7.158456507042016e-06, + "loss": 0.9377, + "step": 25636 + }, + { + "epoch": 0.6, + "grad_norm": 3.172454864689468, + "learning_rate": 7.157724927914355e-06, + "loss": 0.8239, + "step": 25637 + }, + { + "epoch": 0.6, + "grad_norm": 1.779920488348297, + "learning_rate": 7.156993365335321e-06, + "loss": 0.8158, + "step": 25638 + }, + { + "epoch": 0.6, + "grad_norm": 1.5604143311142267, + "learning_rate": 7.156261819309171e-06, + "loss": 0.8434, + "step": 25639 + }, + { + "epoch": 0.6, + "grad_norm": 1.9900922265186787, + "learning_rate": 7.1555302898401665e-06, + "loss": 0.8562, + "step": 25640 + }, + { + "epoch": 0.6, + "grad_norm": 1.418048664481757, + "learning_rate": 7.154798776932563e-06, + "loss": 0.8244, + "step": 25641 + }, + { + "epoch": 0.6, + "grad_norm": 1.774442638596583, + "learning_rate": 7.154067280590622e-06, + "loss": 0.8004, + "step": 25642 + }, + { + "epoch": 0.6, + "grad_norm": 1.661967128767087, + "learning_rate": 7.153335800818604e-06, + "loss": 0.761, + "step": 25643 + }, + { + "epoch": 0.6, + "grad_norm": 1.4915603335792604, + "learning_rate": 7.1526043376207675e-06, + "loss": 0.7696, + "step": 25644 + }, + { + "epoch": 0.6, + "grad_norm": 1.5345137671626081, + "learning_rate": 7.1518728910013655e-06, + "loss": 0.8047, + "step": 25645 + }, + { + "epoch": 0.6, + "grad_norm": 1.8094151720397427, + "learning_rate": 7.151141460964663e-06, + "loss": 0.8052, + "step": 25646 + }, + { + "epoch": 0.6, + "grad_norm": 1.751295261622001, + "learning_rate": 7.15041004751492e-06, + "loss": 0.8772, + "step": 25647 + }, + { + "epoch": 0.6, + "grad_norm": 0.7469354835869432, + "learning_rate": 7.1496786506563885e-06, + "loss": 0.7327, + "step": 25648 + }, + { + "epoch": 0.6, + "grad_norm": 1.514038393384599, + "learning_rate": 7.148947270393329e-06, + "loss": 0.8502, + "step": 25649 + }, + { + "epoch": 0.6, + "grad_norm": 1.4474784359828432, + "learning_rate": 7.148215906730004e-06, + "loss": 0.8563, + "step": 25650 + }, + { + "epoch": 0.6, + "grad_norm": 1.624589893833809, + "learning_rate": 7.14748455967067e-06, + "loss": 0.8308, + "step": 25651 + }, + { + "epoch": 0.6, + "grad_norm": 1.62373741062469, + "learning_rate": 7.146753229219583e-06, + "loss": 0.884, + "step": 25652 + }, + { + "epoch": 0.6, + "grad_norm": 0.7587462972444113, + "learning_rate": 7.146021915380999e-06, + "loss": 0.709, + "step": 25653 + }, + { + "epoch": 0.6, + "grad_norm": 1.891403365072674, + "learning_rate": 7.145290618159182e-06, + "loss": 0.8783, + "step": 25654 + }, + { + "epoch": 0.6, + "grad_norm": 1.6586712485279733, + "learning_rate": 7.1445593375583865e-06, + "loss": 0.8247, + "step": 25655 + }, + { + "epoch": 0.6, + "grad_norm": 1.8480922738829355, + "learning_rate": 7.14382807358287e-06, + "loss": 0.7531, + "step": 25656 + }, + { + "epoch": 0.6, + "grad_norm": 1.5989705748553305, + "learning_rate": 7.143096826236888e-06, + "loss": 0.7832, + "step": 25657 + }, + { + "epoch": 0.6, + "grad_norm": 2.3923683421214457, + "learning_rate": 7.142365595524705e-06, + "loss": 0.846, + "step": 25658 + }, + { + "epoch": 0.6, + "grad_norm": 1.4814338267936626, + "learning_rate": 7.141634381450573e-06, + "loss": 1.0251, + "step": 25659 + }, + { + "epoch": 0.6, + "grad_norm": 1.831886535358924, + "learning_rate": 7.14090318401875e-06, + "loss": 0.869, + "step": 25660 + }, + { + "epoch": 0.6, + "grad_norm": 1.9242876450168616, + "learning_rate": 7.1401720032334965e-06, + "loss": 0.7296, + "step": 25661 + }, + { + "epoch": 0.6, + "grad_norm": 1.618951969191145, + "learning_rate": 7.139440839099063e-06, + "loss": 0.8293, + "step": 25662 + }, + { + "epoch": 0.6, + "grad_norm": 1.9737878460844391, + "learning_rate": 7.138709691619712e-06, + "loss": 0.7988, + "step": 25663 + }, + { + "epoch": 0.6, + "grad_norm": 1.4637836660075136, + "learning_rate": 7.137978560799697e-06, + "loss": 0.9805, + "step": 25664 + }, + { + "epoch": 0.6, + "grad_norm": 1.9744333023988003, + "learning_rate": 7.137247446643283e-06, + "loss": 0.8105, + "step": 25665 + }, + { + "epoch": 0.6, + "grad_norm": 0.7851285409500884, + "learning_rate": 7.136516349154714e-06, + "loss": 0.7026, + "step": 25666 + }, + { + "epoch": 0.6, + "grad_norm": 1.599881728647707, + "learning_rate": 7.1357852683382565e-06, + "loss": 0.7493, + "step": 25667 + }, + { + "epoch": 0.6, + "grad_norm": 1.4957011487747074, + "learning_rate": 7.135054204198166e-06, + "loss": 0.8346, + "step": 25668 + }, + { + "epoch": 0.6, + "grad_norm": 1.6107984394900747, + "learning_rate": 7.134323156738694e-06, + "loss": 0.8267, + "step": 25669 + }, + { + "epoch": 0.6, + "grad_norm": 2.176662995088297, + "learning_rate": 7.1335921259640996e-06, + "loss": 0.9686, + "step": 25670 + }, + { + "epoch": 0.6, + "grad_norm": 1.82687520342745, + "learning_rate": 7.132861111878639e-06, + "loss": 0.8753, + "step": 25671 + }, + { + "epoch": 0.6, + "grad_norm": 2.0300844501996105, + "learning_rate": 7.132130114486573e-06, + "loss": 0.7912, + "step": 25672 + }, + { + "epoch": 0.6, + "grad_norm": 1.6996667689913851, + "learning_rate": 7.131399133792147e-06, + "loss": 0.8994, + "step": 25673 + }, + { + "epoch": 0.6, + "grad_norm": 1.6835055589880044, + "learning_rate": 7.130668169799627e-06, + "loss": 0.9024, + "step": 25674 + }, + { + "epoch": 0.6, + "grad_norm": 3.387265873368753, + "learning_rate": 7.129937222513268e-06, + "loss": 0.8328, + "step": 25675 + }, + { + "epoch": 0.6, + "grad_norm": 2.59618626580672, + "learning_rate": 7.129206291937319e-06, + "loss": 0.8864, + "step": 25676 + }, + { + "epoch": 0.6, + "grad_norm": 1.727057536025423, + "learning_rate": 7.128475378076039e-06, + "loss": 0.821, + "step": 25677 + }, + { + "epoch": 0.6, + "grad_norm": 1.65770877691656, + "learning_rate": 7.127744480933687e-06, + "loss": 0.8506, + "step": 25678 + }, + { + "epoch": 0.6, + "grad_norm": 2.049732839188194, + "learning_rate": 7.127013600514517e-06, + "loss": 0.8584, + "step": 25679 + }, + { + "epoch": 0.61, + "grad_norm": 2.0293582633274982, + "learning_rate": 7.126282736822782e-06, + "loss": 0.809, + "step": 25680 + }, + { + "epoch": 0.61, + "grad_norm": 1.576681936142549, + "learning_rate": 7.125551889862736e-06, + "loss": 0.8803, + "step": 25681 + }, + { + "epoch": 0.61, + "grad_norm": 1.783097044966493, + "learning_rate": 7.1248210596386444e-06, + "loss": 0.8746, + "step": 25682 + }, + { + "epoch": 0.61, + "grad_norm": 1.4770553083192792, + "learning_rate": 7.1240902461547475e-06, + "loss": 0.7875, + "step": 25683 + }, + { + "epoch": 0.61, + "grad_norm": 1.8320126298083226, + "learning_rate": 7.1233594494153104e-06, + "loss": 0.8788, + "step": 25684 + }, + { + "epoch": 0.61, + "grad_norm": 1.6699872571048533, + "learning_rate": 7.122628669424583e-06, + "loss": 0.8173, + "step": 25685 + }, + { + "epoch": 0.61, + "grad_norm": 1.7208480713867491, + "learning_rate": 7.121897906186827e-06, + "loss": 0.7807, + "step": 25686 + }, + { + "epoch": 0.61, + "grad_norm": 1.4318051243688694, + "learning_rate": 7.12116715970629e-06, + "loss": 0.8355, + "step": 25687 + }, + { + "epoch": 0.61, + "grad_norm": 1.5882113076163238, + "learning_rate": 7.120436429987228e-06, + "loss": 0.9609, + "step": 25688 + }, + { + "epoch": 0.61, + "grad_norm": 1.5621192270726851, + "learning_rate": 7.1197057170339e-06, + "loss": 0.8561, + "step": 25689 + }, + { + "epoch": 0.61, + "grad_norm": 1.7669707309289668, + "learning_rate": 7.118975020850554e-06, + "loss": 0.9487, + "step": 25690 + }, + { + "epoch": 0.61, + "grad_norm": 1.55310311163952, + "learning_rate": 7.1182443414414495e-06, + "loss": 0.832, + "step": 25691 + }, + { + "epoch": 0.61, + "grad_norm": 1.7417392567031553, + "learning_rate": 7.117513678810837e-06, + "loss": 0.9258, + "step": 25692 + }, + { + "epoch": 0.61, + "grad_norm": 1.6800166606316993, + "learning_rate": 7.116783032962976e-06, + "loss": 0.8648, + "step": 25693 + }, + { + "epoch": 0.61, + "grad_norm": 1.6078577352372043, + "learning_rate": 7.116052403902112e-06, + "loss": 0.8154, + "step": 25694 + }, + { + "epoch": 0.61, + "grad_norm": 1.8122972297777096, + "learning_rate": 7.115321791632507e-06, + "loss": 0.87, + "step": 25695 + }, + { + "epoch": 0.61, + "grad_norm": 1.6951408678746873, + "learning_rate": 7.114591196158413e-06, + "loss": 0.9779, + "step": 25696 + }, + { + "epoch": 0.61, + "grad_norm": 1.5087887377607434, + "learning_rate": 7.1138606174840806e-06, + "loss": 0.7956, + "step": 25697 + }, + { + "epoch": 0.61, + "grad_norm": 1.7086768185060202, + "learning_rate": 7.113130055613764e-06, + "loss": 0.8412, + "step": 25698 + }, + { + "epoch": 0.61, + "grad_norm": 1.5005101619691377, + "learning_rate": 7.11239951055172e-06, + "loss": 0.8447, + "step": 25699 + }, + { + "epoch": 0.61, + "grad_norm": 1.6523860391480563, + "learning_rate": 7.111668982302202e-06, + "loss": 0.6452, + "step": 25700 + }, + { + "epoch": 0.61, + "grad_norm": 2.588170742538371, + "learning_rate": 7.11093847086946e-06, + "loss": 0.809, + "step": 25701 + }, + { + "epoch": 0.61, + "grad_norm": 1.6340472454309494, + "learning_rate": 7.110207976257746e-06, + "loss": 0.9288, + "step": 25702 + }, + { + "epoch": 0.61, + "grad_norm": 1.6228138046782337, + "learning_rate": 7.10947749847132e-06, + "loss": 0.8982, + "step": 25703 + }, + { + "epoch": 0.61, + "grad_norm": 1.7342981325192437, + "learning_rate": 7.108747037514431e-06, + "loss": 0.8492, + "step": 25704 + }, + { + "epoch": 0.61, + "grad_norm": 1.5294849369678603, + "learning_rate": 7.10801659339133e-06, + "loss": 0.9057, + "step": 25705 + }, + { + "epoch": 0.61, + "grad_norm": 1.510302880008347, + "learning_rate": 7.107286166106271e-06, + "loss": 0.8585, + "step": 25706 + }, + { + "epoch": 0.61, + "grad_norm": 1.516147964728888, + "learning_rate": 7.106555755663511e-06, + "loss": 0.9262, + "step": 25707 + }, + { + "epoch": 0.61, + "grad_norm": 1.7178418544929872, + "learning_rate": 7.105825362067299e-06, + "loss": 0.8958, + "step": 25708 + }, + { + "epoch": 0.61, + "grad_norm": 1.7061987492217425, + "learning_rate": 7.105094985321888e-06, + "loss": 0.8214, + "step": 25709 + }, + { + "epoch": 0.61, + "grad_norm": 2.532787177785542, + "learning_rate": 7.10436462543153e-06, + "loss": 0.8725, + "step": 25710 + }, + { + "epoch": 0.61, + "grad_norm": 1.669158112365062, + "learning_rate": 7.103634282400475e-06, + "loss": 0.7829, + "step": 25711 + }, + { + "epoch": 0.61, + "grad_norm": 1.6697688867805014, + "learning_rate": 7.102903956232981e-06, + "loss": 0.7697, + "step": 25712 + }, + { + "epoch": 0.61, + "grad_norm": 1.6572813615318809, + "learning_rate": 7.102173646933295e-06, + "loss": 0.8604, + "step": 25713 + }, + { + "epoch": 0.61, + "grad_norm": 1.7200521361172085, + "learning_rate": 7.1014433545056785e-06, + "loss": 0.686, + "step": 25714 + }, + { + "epoch": 0.61, + "grad_norm": 1.5431915691767921, + "learning_rate": 7.100713078954369e-06, + "loss": 0.9817, + "step": 25715 + }, + { + "epoch": 0.61, + "grad_norm": 1.5056429990392275, + "learning_rate": 7.099982820283629e-06, + "loss": 0.8588, + "step": 25716 + }, + { + "epoch": 0.61, + "grad_norm": 1.7974310707743368, + "learning_rate": 7.099252578497709e-06, + "loss": 0.7868, + "step": 25717 + }, + { + "epoch": 0.61, + "grad_norm": 1.716804601209265, + "learning_rate": 7.0985223536008555e-06, + "loss": 0.7855, + "step": 25718 + }, + { + "epoch": 0.61, + "grad_norm": 2.076789030302613, + "learning_rate": 7.097792145597322e-06, + "loss": 0.8635, + "step": 25719 + }, + { + "epoch": 0.61, + "grad_norm": 1.3688721465627303, + "learning_rate": 7.097061954491363e-06, + "loss": 0.9177, + "step": 25720 + }, + { + "epoch": 0.61, + "grad_norm": 0.7356402997171255, + "learning_rate": 7.096331780287231e-06, + "loss": 0.6833, + "step": 25721 + }, + { + "epoch": 0.61, + "grad_norm": 1.5285336449910132, + "learning_rate": 7.0956016229891715e-06, + "loss": 1.1076, + "step": 25722 + }, + { + "epoch": 0.61, + "grad_norm": 1.6685830579910743, + "learning_rate": 7.09487148260144e-06, + "loss": 0.9296, + "step": 25723 + }, + { + "epoch": 0.61, + "grad_norm": 1.499295272122565, + "learning_rate": 7.094141359128288e-06, + "loss": 0.8441, + "step": 25724 + }, + { + "epoch": 0.61, + "grad_norm": 4.647908747583549, + "learning_rate": 7.093411252573964e-06, + "loss": 0.9768, + "step": 25725 + }, + { + "epoch": 0.61, + "grad_norm": 1.7500101974868196, + "learning_rate": 7.092681162942717e-06, + "loss": 0.8577, + "step": 25726 + }, + { + "epoch": 0.61, + "grad_norm": 1.505855566559885, + "learning_rate": 7.0919510902388034e-06, + "loss": 0.8848, + "step": 25727 + }, + { + "epoch": 0.61, + "grad_norm": 1.4647081206236416, + "learning_rate": 7.0912210344664736e-06, + "loss": 0.854, + "step": 25728 + }, + { + "epoch": 0.61, + "grad_norm": 1.6119537979663139, + "learning_rate": 7.090490995629973e-06, + "loss": 0.8203, + "step": 25729 + }, + { + "epoch": 0.61, + "grad_norm": 1.7243161635685762, + "learning_rate": 7.089760973733553e-06, + "loss": 0.8512, + "step": 25730 + }, + { + "epoch": 0.61, + "grad_norm": 1.6674120336036264, + "learning_rate": 7.089030968781472e-06, + "loss": 1.0536, + "step": 25731 + }, + { + "epoch": 0.61, + "grad_norm": 1.5159070381840571, + "learning_rate": 7.088300980777969e-06, + "loss": 0.8642, + "step": 25732 + }, + { + "epoch": 0.61, + "grad_norm": 1.9211762728828512, + "learning_rate": 7.087571009727301e-06, + "loss": 0.8952, + "step": 25733 + }, + { + "epoch": 0.61, + "grad_norm": 1.50580191572197, + "learning_rate": 7.086841055633713e-06, + "loss": 0.7861, + "step": 25734 + }, + { + "epoch": 0.61, + "grad_norm": 1.645096641770948, + "learning_rate": 7.086111118501465e-06, + "loss": 0.7598, + "step": 25735 + }, + { + "epoch": 0.61, + "grad_norm": 1.7935451774729034, + "learning_rate": 7.085381198334797e-06, + "loss": 0.7896, + "step": 25736 + }, + { + "epoch": 0.61, + "grad_norm": 1.695146967983208, + "learning_rate": 7.084651295137964e-06, + "loss": 0.9939, + "step": 25737 + }, + { + "epoch": 0.61, + "grad_norm": 1.5350570934094663, + "learning_rate": 7.0839214089152155e-06, + "loss": 0.8212, + "step": 25738 + }, + { + "epoch": 0.61, + "grad_norm": 1.7344380760053335, + "learning_rate": 7.083191539670795e-06, + "loss": 0.8186, + "step": 25739 + }, + { + "epoch": 0.61, + "grad_norm": 1.6852301135954468, + "learning_rate": 7.08246168740896e-06, + "loss": 0.8472, + "step": 25740 + }, + { + "epoch": 0.61, + "grad_norm": 1.606743129666279, + "learning_rate": 7.081731852133958e-06, + "loss": 0.8301, + "step": 25741 + }, + { + "epoch": 0.61, + "grad_norm": 1.5725467575666345, + "learning_rate": 7.081002033850036e-06, + "loss": 0.8896, + "step": 25742 + }, + { + "epoch": 0.61, + "grad_norm": 1.844517154827323, + "learning_rate": 7.080272232561441e-06, + "loss": 0.8935, + "step": 25743 + }, + { + "epoch": 0.61, + "grad_norm": 1.737571387260418, + "learning_rate": 7.079542448272428e-06, + "loss": 0.8618, + "step": 25744 + }, + { + "epoch": 0.61, + "grad_norm": 1.615229241857133, + "learning_rate": 7.078812680987246e-06, + "loss": 0.924, + "step": 25745 + }, + { + "epoch": 0.61, + "grad_norm": 0.7865838103646269, + "learning_rate": 7.0780829307101395e-06, + "loss": 0.7279, + "step": 25746 + }, + { + "epoch": 0.61, + "grad_norm": 1.845730041094457, + "learning_rate": 7.077353197445356e-06, + "loss": 0.8741, + "step": 25747 + }, + { + "epoch": 0.61, + "grad_norm": 1.9348677498940758, + "learning_rate": 7.07662348119715e-06, + "loss": 0.9073, + "step": 25748 + }, + { + "epoch": 0.61, + "grad_norm": 2.626804912307557, + "learning_rate": 7.075893781969769e-06, + "loss": 0.8866, + "step": 25749 + }, + { + "epoch": 0.61, + "grad_norm": 1.547814876496947, + "learning_rate": 7.07516409976746e-06, + "loss": 0.8469, + "step": 25750 + }, + { + "epoch": 0.61, + "grad_norm": 2.0643821284725394, + "learning_rate": 7.074434434594469e-06, + "loss": 0.8776, + "step": 25751 + }, + { + "epoch": 0.61, + "grad_norm": 0.7398811036840447, + "learning_rate": 7.073704786455049e-06, + "loss": 0.688, + "step": 25752 + }, + { + "epoch": 0.61, + "grad_norm": 1.6016465012760999, + "learning_rate": 7.072975155353446e-06, + "loss": 0.8919, + "step": 25753 + }, + { + "epoch": 0.61, + "grad_norm": 1.6236306002175735, + "learning_rate": 7.072245541293908e-06, + "loss": 0.9058, + "step": 25754 + }, + { + "epoch": 0.61, + "grad_norm": 1.6711369771076354, + "learning_rate": 7.0715159442806815e-06, + "loss": 0.7931, + "step": 25755 + }, + { + "epoch": 0.61, + "grad_norm": 2.14850167024212, + "learning_rate": 7.0707863643180204e-06, + "loss": 0.8505, + "step": 25756 + }, + { + "epoch": 0.61, + "grad_norm": 1.4655866011712848, + "learning_rate": 7.070056801410165e-06, + "loss": 0.7106, + "step": 25757 + }, + { + "epoch": 0.61, + "grad_norm": 2.1457371086484307, + "learning_rate": 7.069327255561369e-06, + "loss": 0.8782, + "step": 25758 + }, + { + "epoch": 0.61, + "grad_norm": 2.9096260695938385, + "learning_rate": 7.068597726775879e-06, + "loss": 0.9256, + "step": 25759 + }, + { + "epoch": 0.61, + "grad_norm": 1.7768189263209315, + "learning_rate": 7.0678682150579355e-06, + "loss": 0.8465, + "step": 25760 + }, + { + "epoch": 0.61, + "grad_norm": 1.6234970191369904, + "learning_rate": 7.067138720411795e-06, + "loss": 0.8922, + "step": 25761 + }, + { + "epoch": 0.61, + "grad_norm": 1.8310447057451928, + "learning_rate": 7.0664092428416976e-06, + "loss": 0.7917, + "step": 25762 + }, + { + "epoch": 0.61, + "grad_norm": 0.771196154206886, + "learning_rate": 7.065679782351902e-06, + "loss": 0.7733, + "step": 25763 + }, + { + "epoch": 0.61, + "grad_norm": 1.7535303109267952, + "learning_rate": 7.064950338946641e-06, + "loss": 0.8581, + "step": 25764 + }, + { + "epoch": 0.61, + "grad_norm": 1.7720003907360762, + "learning_rate": 7.064220912630171e-06, + "loss": 0.9093, + "step": 25765 + }, + { + "epoch": 0.61, + "grad_norm": 1.677863646544194, + "learning_rate": 7.063491503406737e-06, + "loss": 0.8682, + "step": 25766 + }, + { + "epoch": 0.61, + "grad_norm": 1.5078706786277842, + "learning_rate": 7.062762111280585e-06, + "loss": 0.76, + "step": 25767 + }, + { + "epoch": 0.61, + "grad_norm": 1.658429416232347, + "learning_rate": 7.062032736255959e-06, + "loss": 0.9593, + "step": 25768 + }, + { + "epoch": 0.61, + "grad_norm": 1.6675858924724027, + "learning_rate": 7.06130337833711e-06, + "loss": 0.7952, + "step": 25769 + }, + { + "epoch": 0.61, + "grad_norm": 1.5000636980266182, + "learning_rate": 7.060574037528285e-06, + "loss": 0.9393, + "step": 25770 + }, + { + "epoch": 0.61, + "grad_norm": 1.5438057387297732, + "learning_rate": 7.059844713833726e-06, + "loss": 0.7649, + "step": 25771 + }, + { + "epoch": 0.61, + "grad_norm": 2.185591674182868, + "learning_rate": 7.059115407257683e-06, + "loss": 0.9859, + "step": 25772 + }, + { + "epoch": 0.61, + "grad_norm": 1.6800392967289834, + "learning_rate": 7.058386117804401e-06, + "loss": 0.8245, + "step": 25773 + }, + { + "epoch": 0.61, + "grad_norm": 0.8123959042791108, + "learning_rate": 7.057656845478129e-06, + "loss": 0.7224, + "step": 25774 + }, + { + "epoch": 0.61, + "grad_norm": 1.4761082885531618, + "learning_rate": 7.056927590283104e-06, + "loss": 0.8707, + "step": 25775 + }, + { + "epoch": 0.61, + "grad_norm": 1.4756645017661127, + "learning_rate": 7.056198352223585e-06, + "loss": 0.8714, + "step": 25776 + }, + { + "epoch": 0.61, + "grad_norm": 1.591233390243006, + "learning_rate": 7.055469131303809e-06, + "loss": 0.8306, + "step": 25777 + }, + { + "epoch": 0.61, + "grad_norm": 1.540220167915704, + "learning_rate": 7.0547399275280235e-06, + "loss": 0.9394, + "step": 25778 + }, + { + "epoch": 0.61, + "grad_norm": 1.5220530869309437, + "learning_rate": 7.054010740900472e-06, + "loss": 0.8501, + "step": 25779 + }, + { + "epoch": 0.61, + "grad_norm": 1.7432553200816403, + "learning_rate": 7.053281571425405e-06, + "loss": 0.8776, + "step": 25780 + }, + { + "epoch": 0.61, + "grad_norm": 1.533311275123345, + "learning_rate": 7.052552419107068e-06, + "loss": 0.9692, + "step": 25781 + }, + { + "epoch": 0.61, + "grad_norm": 1.8957098188894712, + "learning_rate": 7.051823283949702e-06, + "loss": 0.9497, + "step": 25782 + }, + { + "epoch": 0.61, + "grad_norm": 0.8030591615889006, + "learning_rate": 7.051094165957553e-06, + "loss": 0.7151, + "step": 25783 + }, + { + "epoch": 0.61, + "grad_norm": 1.8000466915724829, + "learning_rate": 7.05036506513487e-06, + "loss": 0.898, + "step": 25784 + }, + { + "epoch": 0.61, + "grad_norm": 1.5586841408477352, + "learning_rate": 7.049635981485894e-06, + "loss": 0.7382, + "step": 25785 + }, + { + "epoch": 0.61, + "grad_norm": 1.4943417570171025, + "learning_rate": 7.048906915014871e-06, + "loss": 0.8566, + "step": 25786 + }, + { + "epoch": 0.61, + "grad_norm": 1.6639052160224184, + "learning_rate": 7.048177865726044e-06, + "loss": 0.8176, + "step": 25787 + }, + { + "epoch": 0.61, + "grad_norm": 0.7641720764385205, + "learning_rate": 7.0474488336236645e-06, + "loss": 0.6892, + "step": 25788 + }, + { + "epoch": 0.61, + "grad_norm": 1.557410561599667, + "learning_rate": 7.0467198187119705e-06, + "loss": 0.8244, + "step": 25789 + }, + { + "epoch": 0.61, + "grad_norm": 1.6687646689992754, + "learning_rate": 7.045990820995208e-06, + "loss": 0.8629, + "step": 25790 + }, + { + "epoch": 0.61, + "grad_norm": 1.7775492370223844, + "learning_rate": 7.0452618404776255e-06, + "loss": 0.8915, + "step": 25791 + }, + { + "epoch": 0.61, + "grad_norm": 1.3915832096905747, + "learning_rate": 7.044532877163459e-06, + "loss": 0.8089, + "step": 25792 + }, + { + "epoch": 0.61, + "grad_norm": 1.6173269042886336, + "learning_rate": 7.043803931056961e-06, + "loss": 0.6911, + "step": 25793 + }, + { + "epoch": 0.61, + "grad_norm": 1.687817476938399, + "learning_rate": 7.04307500216237e-06, + "loss": 0.9287, + "step": 25794 + }, + { + "epoch": 0.61, + "grad_norm": 1.579865726186852, + "learning_rate": 7.042346090483937e-06, + "loss": 0.7076, + "step": 25795 + }, + { + "epoch": 0.61, + "grad_norm": 1.4137334350784636, + "learning_rate": 7.041617196025896e-06, + "loss": 0.9194, + "step": 25796 + }, + { + "epoch": 0.61, + "grad_norm": 1.6218394180312783, + "learning_rate": 7.040888318792499e-06, + "loss": 0.8687, + "step": 25797 + }, + { + "epoch": 0.61, + "grad_norm": 1.6258951272167632, + "learning_rate": 7.04015945878799e-06, + "loss": 0.9367, + "step": 25798 + }, + { + "epoch": 0.61, + "grad_norm": 1.7881391519042866, + "learning_rate": 7.039430616016605e-06, + "loss": 0.8512, + "step": 25799 + }, + { + "epoch": 0.61, + "grad_norm": 0.778107258283721, + "learning_rate": 7.038701790482592e-06, + "loss": 0.7264, + "step": 25800 + }, + { + "epoch": 0.61, + "grad_norm": 0.7809937374401618, + "learning_rate": 7.037972982190197e-06, + "loss": 0.7084, + "step": 25801 + }, + { + "epoch": 0.61, + "grad_norm": 1.7337719338278823, + "learning_rate": 7.037244191143662e-06, + "loss": 0.8933, + "step": 25802 + }, + { + "epoch": 0.61, + "grad_norm": 1.6121860706697886, + "learning_rate": 7.036515417347228e-06, + "loss": 0.7176, + "step": 25803 + }, + { + "epoch": 0.61, + "grad_norm": 2.329690459389721, + "learning_rate": 7.035786660805137e-06, + "loss": 0.9383, + "step": 25804 + }, + { + "epoch": 0.61, + "grad_norm": 1.845023389313632, + "learning_rate": 7.03505792152164e-06, + "loss": 0.8574, + "step": 25805 + }, + { + "epoch": 0.61, + "grad_norm": 1.8802220680604411, + "learning_rate": 7.034329199500971e-06, + "loss": 0.9245, + "step": 25806 + }, + { + "epoch": 0.61, + "grad_norm": 1.4086133602866773, + "learning_rate": 7.033600494747377e-06, + "loss": 0.9508, + "step": 25807 + }, + { + "epoch": 0.61, + "grad_norm": 1.7322557166989552, + "learning_rate": 7.032871807265097e-06, + "loss": 0.9406, + "step": 25808 + }, + { + "epoch": 0.61, + "grad_norm": 1.6844101343675888, + "learning_rate": 7.032143137058382e-06, + "loss": 0.8902, + "step": 25809 + }, + { + "epoch": 0.61, + "grad_norm": 1.5876724389747114, + "learning_rate": 7.031414484131467e-06, + "loss": 0.893, + "step": 25810 + }, + { + "epoch": 0.61, + "grad_norm": 1.9253807018253206, + "learning_rate": 7.030685848488595e-06, + "loss": 0.8541, + "step": 25811 + }, + { + "epoch": 0.61, + "grad_norm": 1.5702092825100242, + "learning_rate": 7.029957230134015e-06, + "loss": 0.7225, + "step": 25812 + }, + { + "epoch": 0.61, + "grad_norm": 1.96696034158074, + "learning_rate": 7.029228629071958e-06, + "loss": 0.8812, + "step": 25813 + }, + { + "epoch": 0.61, + "grad_norm": 2.4463463934421132, + "learning_rate": 7.028500045306676e-06, + "loss": 0.8968, + "step": 25814 + }, + { + "epoch": 0.61, + "grad_norm": 1.482420224778918, + "learning_rate": 7.027771478842405e-06, + "loss": 0.8216, + "step": 25815 + }, + { + "epoch": 0.61, + "grad_norm": 1.6051831298806587, + "learning_rate": 7.027042929683394e-06, + "loss": 0.775, + "step": 25816 + }, + { + "epoch": 0.61, + "grad_norm": 1.7568112644495468, + "learning_rate": 7.0263143978338756e-06, + "loss": 0.8445, + "step": 25817 + }, + { + "epoch": 0.61, + "grad_norm": 1.5658594526784733, + "learning_rate": 7.025585883298099e-06, + "loss": 0.7934, + "step": 25818 + }, + { + "epoch": 0.61, + "grad_norm": 1.5487488401305516, + "learning_rate": 7.0248573860803035e-06, + "loss": 0.874, + "step": 25819 + }, + { + "epoch": 0.61, + "grad_norm": 2.0048240799141137, + "learning_rate": 7.024128906184726e-06, + "loss": 0.8619, + "step": 25820 + }, + { + "epoch": 0.61, + "grad_norm": 1.883709832943376, + "learning_rate": 7.0234004436156155e-06, + "loss": 0.7892, + "step": 25821 + }, + { + "epoch": 0.61, + "grad_norm": 0.7933257266852961, + "learning_rate": 7.02267199837721e-06, + "loss": 0.665, + "step": 25822 + }, + { + "epoch": 0.61, + "grad_norm": 1.8501479341375886, + "learning_rate": 7.021943570473751e-06, + "loss": 0.7956, + "step": 25823 + }, + { + "epoch": 0.61, + "grad_norm": 1.549576575267109, + "learning_rate": 7.021215159909478e-06, + "loss": 0.9331, + "step": 25824 + }, + { + "epoch": 0.61, + "grad_norm": 1.8907115554774316, + "learning_rate": 7.020486766688633e-06, + "loss": 0.7859, + "step": 25825 + }, + { + "epoch": 0.61, + "grad_norm": 1.480912343364081, + "learning_rate": 7.019758390815461e-06, + "loss": 0.8569, + "step": 25826 + }, + { + "epoch": 0.61, + "grad_norm": 1.6922609693756425, + "learning_rate": 7.019030032294196e-06, + "loss": 0.9697, + "step": 25827 + }, + { + "epoch": 0.61, + "grad_norm": 1.5000565860535013, + "learning_rate": 7.0183016911290816e-06, + "loss": 0.8517, + "step": 25828 + }, + { + "epoch": 0.61, + "grad_norm": 1.4248104925679592, + "learning_rate": 7.0175733673243586e-06, + "loss": 0.8906, + "step": 25829 + }, + { + "epoch": 0.61, + "grad_norm": 1.530742345273625, + "learning_rate": 7.016845060884271e-06, + "loss": 0.7217, + "step": 25830 + }, + { + "epoch": 0.61, + "grad_norm": 1.738825728332619, + "learning_rate": 7.016116771813053e-06, + "loss": 0.8834, + "step": 25831 + }, + { + "epoch": 0.61, + "grad_norm": 1.6607608524140285, + "learning_rate": 7.015388500114947e-06, + "loss": 0.9622, + "step": 25832 + }, + { + "epoch": 0.61, + "grad_norm": 1.6834171695685811, + "learning_rate": 7.014660245794197e-06, + "loss": 0.977, + "step": 25833 + }, + { + "epoch": 0.61, + "grad_norm": 1.7808667169095553, + "learning_rate": 7.013932008855039e-06, + "loss": 0.9696, + "step": 25834 + }, + { + "epoch": 0.61, + "grad_norm": 1.5586861427517726, + "learning_rate": 7.013203789301713e-06, + "loss": 0.8306, + "step": 25835 + }, + { + "epoch": 0.61, + "grad_norm": 1.863617280792671, + "learning_rate": 7.01247558713846e-06, + "loss": 0.8207, + "step": 25836 + }, + { + "epoch": 0.61, + "grad_norm": 2.093427156937527, + "learning_rate": 7.011747402369522e-06, + "loss": 0.8617, + "step": 25837 + }, + { + "epoch": 0.61, + "grad_norm": 1.61805207561616, + "learning_rate": 7.011019234999137e-06, + "loss": 0.77, + "step": 25838 + }, + { + "epoch": 0.61, + "grad_norm": 1.5899145124104839, + "learning_rate": 7.010291085031542e-06, + "loss": 0.9488, + "step": 25839 + }, + { + "epoch": 0.61, + "grad_norm": 1.682722343637237, + "learning_rate": 7.0095629524709826e-06, + "loss": 0.9264, + "step": 25840 + }, + { + "epoch": 0.61, + "grad_norm": 1.8241107509244918, + "learning_rate": 7.008834837321689e-06, + "loss": 0.7439, + "step": 25841 + }, + { + "epoch": 0.61, + "grad_norm": 1.4543031028203206, + "learning_rate": 7.0081067395879085e-06, + "loss": 1.0044, + "step": 25842 + }, + { + "epoch": 0.61, + "grad_norm": 1.7038203980122006, + "learning_rate": 7.007378659273878e-06, + "loss": 0.8323, + "step": 25843 + }, + { + "epoch": 0.61, + "grad_norm": 1.623199908036595, + "learning_rate": 7.006650596383839e-06, + "loss": 0.7132, + "step": 25844 + }, + { + "epoch": 0.61, + "grad_norm": 2.00711104235773, + "learning_rate": 7.005922550922023e-06, + "loss": 0.8216, + "step": 25845 + }, + { + "epoch": 0.61, + "grad_norm": 1.4914147681756849, + "learning_rate": 7.005194522892676e-06, + "loss": 0.9212, + "step": 25846 + }, + { + "epoch": 0.61, + "grad_norm": 1.516713151665285, + "learning_rate": 7.004466512300037e-06, + "loss": 0.8379, + "step": 25847 + }, + { + "epoch": 0.61, + "grad_norm": 0.7461487736099002, + "learning_rate": 7.00373851914834e-06, + "loss": 0.7002, + "step": 25848 + }, + { + "epoch": 0.61, + "grad_norm": 1.5919266600115116, + "learning_rate": 7.003010543441824e-06, + "loss": 0.8628, + "step": 25849 + }, + { + "epoch": 0.61, + "grad_norm": 1.9195953164606727, + "learning_rate": 7.002282585184731e-06, + "loss": 0.8752, + "step": 25850 + }, + { + "epoch": 0.61, + "grad_norm": 1.611991431248621, + "learning_rate": 7.0015546443813e-06, + "loss": 0.897, + "step": 25851 + }, + { + "epoch": 0.61, + "grad_norm": 1.4619831192802406, + "learning_rate": 7.000826721035765e-06, + "loss": 0.753, + "step": 25852 + }, + { + "epoch": 0.61, + "grad_norm": 1.7358912636555752, + "learning_rate": 7.000098815152365e-06, + "loss": 0.7624, + "step": 25853 + }, + { + "epoch": 0.61, + "grad_norm": 0.841573678532922, + "learning_rate": 6.999370926735342e-06, + "loss": 0.6916, + "step": 25854 + }, + { + "epoch": 0.61, + "grad_norm": 2.130895189810676, + "learning_rate": 6.998643055788932e-06, + "loss": 0.7396, + "step": 25855 + }, + { + "epoch": 0.61, + "grad_norm": 1.8458141536816313, + "learning_rate": 6.997915202317372e-06, + "loss": 0.7946, + "step": 25856 + }, + { + "epoch": 0.61, + "grad_norm": 1.4872237885296518, + "learning_rate": 6.997187366324895e-06, + "loss": 0.8267, + "step": 25857 + }, + { + "epoch": 0.61, + "grad_norm": 1.63419231030308, + "learning_rate": 6.99645954781575e-06, + "loss": 0.8512, + "step": 25858 + }, + { + "epoch": 0.61, + "grad_norm": 1.574998867027941, + "learning_rate": 6.9957317467941675e-06, + "loss": 0.8053, + "step": 25859 + }, + { + "epoch": 0.61, + "grad_norm": 1.39325634031009, + "learning_rate": 6.995003963264382e-06, + "loss": 0.8374, + "step": 25860 + }, + { + "epoch": 0.61, + "grad_norm": 1.4956558834275615, + "learning_rate": 6.994276197230643e-06, + "loss": 0.7806, + "step": 25861 + }, + { + "epoch": 0.61, + "grad_norm": 1.6883639610898762, + "learning_rate": 6.993548448697171e-06, + "loss": 0.9185, + "step": 25862 + }, + { + "epoch": 0.61, + "grad_norm": 1.5121363857206405, + "learning_rate": 6.992820717668215e-06, + "loss": 0.8266, + "step": 25863 + }, + { + "epoch": 0.61, + "grad_norm": 1.9028640588794121, + "learning_rate": 6.992093004148006e-06, + "loss": 0.7536, + "step": 25864 + }, + { + "epoch": 0.61, + "grad_norm": 0.7920115991021808, + "learning_rate": 6.991365308140792e-06, + "loss": 0.7633, + "step": 25865 + }, + { + "epoch": 0.61, + "grad_norm": 1.5553716303421534, + "learning_rate": 6.990637629650794e-06, + "loss": 0.7752, + "step": 25866 + }, + { + "epoch": 0.61, + "grad_norm": 1.543555325890276, + "learning_rate": 6.989909968682258e-06, + "loss": 0.902, + "step": 25867 + }, + { + "epoch": 0.61, + "grad_norm": 1.5476112279357723, + "learning_rate": 6.989182325239423e-06, + "loss": 0.8311, + "step": 25868 + }, + { + "epoch": 0.61, + "grad_norm": 1.7864460840191336, + "learning_rate": 6.988454699326515e-06, + "loss": 0.9054, + "step": 25869 + }, + { + "epoch": 0.61, + "grad_norm": 2.0391159841049467, + "learning_rate": 6.987727090947781e-06, + "loss": 0.7901, + "step": 25870 + }, + { + "epoch": 0.61, + "grad_norm": 1.664499406306401, + "learning_rate": 6.986999500107454e-06, + "loss": 0.902, + "step": 25871 + }, + { + "epoch": 0.61, + "grad_norm": 1.6901000234882377, + "learning_rate": 6.9862719268097715e-06, + "loss": 0.9397, + "step": 25872 + }, + { + "epoch": 0.61, + "grad_norm": 1.6821613540481934, + "learning_rate": 6.985544371058963e-06, + "loss": 0.7787, + "step": 25873 + }, + { + "epoch": 0.61, + "grad_norm": 1.5730739171602945, + "learning_rate": 6.984816832859271e-06, + "loss": 0.834, + "step": 25874 + }, + { + "epoch": 0.61, + "grad_norm": 1.504043292522253, + "learning_rate": 6.9840893122149346e-06, + "loss": 0.8734, + "step": 25875 + }, + { + "epoch": 0.61, + "grad_norm": 2.156522119334764, + "learning_rate": 6.98336180913018e-06, + "loss": 0.8946, + "step": 25876 + }, + { + "epoch": 0.61, + "grad_norm": 1.5278233315758705, + "learning_rate": 6.982634323609249e-06, + "loss": 0.7868, + "step": 25877 + }, + { + "epoch": 0.61, + "grad_norm": 2.097998801321762, + "learning_rate": 6.981906855656376e-06, + "loss": 0.9392, + "step": 25878 + }, + { + "epoch": 0.61, + "grad_norm": 1.4730079738207706, + "learning_rate": 6.9811794052758e-06, + "loss": 0.7858, + "step": 25879 + }, + { + "epoch": 0.61, + "grad_norm": 1.5889890771440667, + "learning_rate": 6.980451972471751e-06, + "loss": 0.8127, + "step": 25880 + }, + { + "epoch": 0.61, + "grad_norm": 1.7348868320545772, + "learning_rate": 6.979724557248464e-06, + "loss": 0.8256, + "step": 25881 + }, + { + "epoch": 0.61, + "grad_norm": 1.5293846526142636, + "learning_rate": 6.978997159610181e-06, + "loss": 0.8149, + "step": 25882 + }, + { + "epoch": 0.61, + "grad_norm": 1.6150382466759052, + "learning_rate": 6.978269779561131e-06, + "loss": 0.8681, + "step": 25883 + }, + { + "epoch": 0.61, + "grad_norm": 1.3602073936889112, + "learning_rate": 6.977542417105552e-06, + "loss": 0.7697, + "step": 25884 + }, + { + "epoch": 0.61, + "grad_norm": 1.7010190420992888, + "learning_rate": 6.9768150722476744e-06, + "loss": 0.7033, + "step": 25885 + }, + { + "epoch": 0.61, + "grad_norm": 1.464498287651572, + "learning_rate": 6.976087744991742e-06, + "loss": 0.825, + "step": 25886 + }, + { + "epoch": 0.61, + "grad_norm": 1.5221626237492567, + "learning_rate": 6.975360435341981e-06, + "loss": 0.833, + "step": 25887 + }, + { + "epoch": 0.61, + "grad_norm": 1.9257838928082895, + "learning_rate": 6.974633143302629e-06, + "loss": 0.8387, + "step": 25888 + }, + { + "epoch": 0.61, + "grad_norm": 2.099598810341227, + "learning_rate": 6.973905868877923e-06, + "loss": 0.8765, + "step": 25889 + }, + { + "epoch": 0.61, + "grad_norm": 1.4813043592370927, + "learning_rate": 6.973178612072092e-06, + "loss": 0.8355, + "step": 25890 + }, + { + "epoch": 0.61, + "grad_norm": 1.618141086562881, + "learning_rate": 6.972451372889375e-06, + "loss": 0.8608, + "step": 25891 + }, + { + "epoch": 0.61, + "grad_norm": 1.5507523273646366, + "learning_rate": 6.971724151334005e-06, + "loss": 0.8312, + "step": 25892 + }, + { + "epoch": 0.61, + "grad_norm": 1.6053870207427359, + "learning_rate": 6.970996947410217e-06, + "loss": 1.0281, + "step": 25893 + }, + { + "epoch": 0.61, + "grad_norm": 1.609676530078336, + "learning_rate": 6.9702697611222394e-06, + "loss": 0.7608, + "step": 25894 + }, + { + "epoch": 0.61, + "grad_norm": 1.695799794383521, + "learning_rate": 6.9695425924743125e-06, + "loss": 0.8965, + "step": 25895 + }, + { + "epoch": 0.61, + "grad_norm": 1.5520275341363248, + "learning_rate": 6.968815441470666e-06, + "loss": 0.8262, + "step": 25896 + }, + { + "epoch": 0.61, + "grad_norm": 1.563308344675428, + "learning_rate": 6.968088308115543e-06, + "loss": 0.8821, + "step": 25897 + }, + { + "epoch": 0.61, + "grad_norm": 1.6420119864873979, + "learning_rate": 6.967361192413163e-06, + "loss": 0.8697, + "step": 25898 + }, + { + "epoch": 0.61, + "grad_norm": 1.627363465507511, + "learning_rate": 6.966634094367768e-06, + "loss": 0.9168, + "step": 25899 + }, + { + "epoch": 0.61, + "grad_norm": 1.6000726354723251, + "learning_rate": 6.96590701398359e-06, + "loss": 0.8641, + "step": 25900 + }, + { + "epoch": 0.61, + "grad_norm": 0.7925269181734824, + "learning_rate": 6.965179951264862e-06, + "loss": 0.6969, + "step": 25901 + }, + { + "epoch": 0.61, + "grad_norm": 2.0620133684557316, + "learning_rate": 6.964452906215815e-06, + "loss": 0.8577, + "step": 25902 + }, + { + "epoch": 0.61, + "grad_norm": 1.5213415576723373, + "learning_rate": 6.963725878840686e-06, + "loss": 0.7573, + "step": 25903 + }, + { + "epoch": 0.61, + "grad_norm": 1.497306314546873, + "learning_rate": 6.9629988691437086e-06, + "loss": 0.9344, + "step": 25904 + }, + { + "epoch": 0.61, + "grad_norm": 1.6295450751432918, + "learning_rate": 6.962271877129111e-06, + "loss": 0.8011, + "step": 25905 + }, + { + "epoch": 0.61, + "grad_norm": 0.8057917546459166, + "learning_rate": 6.961544902801126e-06, + "loss": 0.7095, + "step": 25906 + }, + { + "epoch": 0.61, + "grad_norm": 1.449308229092182, + "learning_rate": 6.960817946163993e-06, + "loss": 0.7956, + "step": 25907 + }, + { + "epoch": 0.61, + "grad_norm": 1.7019113118595273, + "learning_rate": 6.960091007221938e-06, + "loss": 0.9019, + "step": 25908 + }, + { + "epoch": 0.61, + "grad_norm": 1.7570855362025437, + "learning_rate": 6.959364085979192e-06, + "loss": 0.8257, + "step": 25909 + }, + { + "epoch": 0.61, + "grad_norm": 0.7852844367092251, + "learning_rate": 6.958637182439996e-06, + "loss": 0.7325, + "step": 25910 + }, + { + "epoch": 0.61, + "grad_norm": 1.656491443049231, + "learning_rate": 6.957910296608576e-06, + "loss": 0.9071, + "step": 25911 + }, + { + "epoch": 0.61, + "grad_norm": 1.6817874578510976, + "learning_rate": 6.957183428489165e-06, + "loss": 0.8385, + "step": 25912 + }, + { + "epoch": 0.61, + "grad_norm": 3.1787039544740057, + "learning_rate": 6.956456578085994e-06, + "loss": 0.7203, + "step": 25913 + }, + { + "epoch": 0.61, + "grad_norm": 1.5238422426209317, + "learning_rate": 6.955729745403301e-06, + "loss": 0.8662, + "step": 25914 + }, + { + "epoch": 0.61, + "grad_norm": 1.5629408769627278, + "learning_rate": 6.955002930445308e-06, + "loss": 0.9187, + "step": 25915 + }, + { + "epoch": 0.61, + "grad_norm": 1.8362065152713964, + "learning_rate": 6.954276133216254e-06, + "loss": 0.8718, + "step": 25916 + }, + { + "epoch": 0.61, + "grad_norm": 1.8219461704050017, + "learning_rate": 6.953549353720366e-06, + "loss": 0.7724, + "step": 25917 + }, + { + "epoch": 0.61, + "grad_norm": 1.7913554075751326, + "learning_rate": 6.952822591961883e-06, + "loss": 0.8933, + "step": 25918 + }, + { + "epoch": 0.61, + "grad_norm": 1.7809172606965422, + "learning_rate": 6.9520958479450285e-06, + "loss": 0.8475, + "step": 25919 + }, + { + "epoch": 0.61, + "grad_norm": 1.8790253684765956, + "learning_rate": 6.9513691216740385e-06, + "loss": 0.9415, + "step": 25920 + }, + { + "epoch": 0.61, + "grad_norm": 2.0240270183647833, + "learning_rate": 6.950642413153144e-06, + "loss": 0.8374, + "step": 25921 + }, + { + "epoch": 0.61, + "grad_norm": 1.597260206306168, + "learning_rate": 6.949915722386571e-06, + "loss": 0.794, + "step": 25922 + }, + { + "epoch": 0.61, + "grad_norm": 1.629413847380817, + "learning_rate": 6.949189049378555e-06, + "loss": 0.8181, + "step": 25923 + }, + { + "epoch": 0.61, + "grad_norm": 1.6055343550280046, + "learning_rate": 6.9484623941333274e-06, + "loss": 0.9167, + "step": 25924 + }, + { + "epoch": 0.61, + "grad_norm": 2.336034331295258, + "learning_rate": 6.94773575665512e-06, + "loss": 0.9364, + "step": 25925 + }, + { + "epoch": 0.61, + "grad_norm": 1.502138264721998, + "learning_rate": 6.947009136948157e-06, + "loss": 0.8421, + "step": 25926 + }, + { + "epoch": 0.61, + "grad_norm": 1.5920240099752871, + "learning_rate": 6.9462825350166744e-06, + "loss": 0.909, + "step": 25927 + }, + { + "epoch": 0.61, + "grad_norm": 1.633948734400826, + "learning_rate": 6.945555950864904e-06, + "loss": 0.9364, + "step": 25928 + }, + { + "epoch": 0.61, + "grad_norm": 1.6571979455606984, + "learning_rate": 6.944829384497073e-06, + "loss": 0.9109, + "step": 25929 + }, + { + "epoch": 0.61, + "grad_norm": 1.5437830939524049, + "learning_rate": 6.94410283591741e-06, + "loss": 0.9106, + "step": 25930 + }, + { + "epoch": 0.61, + "grad_norm": 1.833057917981894, + "learning_rate": 6.943376305130149e-06, + "loss": 0.7985, + "step": 25931 + }, + { + "epoch": 0.61, + "grad_norm": 1.4310235407559537, + "learning_rate": 6.942649792139522e-06, + "loss": 0.7156, + "step": 25932 + }, + { + "epoch": 0.61, + "grad_norm": 1.5439568688774779, + "learning_rate": 6.941923296949753e-06, + "loss": 0.7194, + "step": 25933 + }, + { + "epoch": 0.61, + "grad_norm": 2.192279266671268, + "learning_rate": 6.941196819565074e-06, + "loss": 0.8917, + "step": 25934 + }, + { + "epoch": 0.61, + "grad_norm": 1.5900496198825624, + "learning_rate": 6.940470359989719e-06, + "loss": 0.8049, + "step": 25935 + }, + { + "epoch": 0.61, + "grad_norm": 1.5308078995040186, + "learning_rate": 6.939743918227911e-06, + "loss": 0.9041, + "step": 25936 + }, + { + "epoch": 0.61, + "grad_norm": 1.8254951900226857, + "learning_rate": 6.939017494283884e-06, + "loss": 0.8371, + "step": 25937 + }, + { + "epoch": 0.61, + "grad_norm": 1.6508432681935727, + "learning_rate": 6.938291088161864e-06, + "loss": 0.8241, + "step": 25938 + }, + { + "epoch": 0.61, + "grad_norm": 1.7255192194191293, + "learning_rate": 6.937564699866086e-06, + "loss": 0.8517, + "step": 25939 + }, + { + "epoch": 0.61, + "grad_norm": 1.7366174551619953, + "learning_rate": 6.936838329400774e-06, + "loss": 0.9235, + "step": 25940 + }, + { + "epoch": 0.61, + "grad_norm": 2.3211211154104427, + "learning_rate": 6.93611197677016e-06, + "loss": 0.9086, + "step": 25941 + }, + { + "epoch": 0.61, + "grad_norm": 1.9882626074913976, + "learning_rate": 6.9353856419784734e-06, + "loss": 0.9183, + "step": 25942 + }, + { + "epoch": 0.61, + "grad_norm": 1.7452310785869152, + "learning_rate": 6.934659325029938e-06, + "loss": 0.7889, + "step": 25943 + }, + { + "epoch": 0.61, + "grad_norm": 1.6772877399092538, + "learning_rate": 6.933933025928788e-06, + "loss": 0.8657, + "step": 25944 + }, + { + "epoch": 0.61, + "grad_norm": 1.5206320653065115, + "learning_rate": 6.933206744679249e-06, + "loss": 0.9391, + "step": 25945 + }, + { + "epoch": 0.61, + "grad_norm": 1.3885070888320765, + "learning_rate": 6.932480481285558e-06, + "loss": 0.8383, + "step": 25946 + }, + { + "epoch": 0.61, + "grad_norm": 1.7272921825023266, + "learning_rate": 6.931754235751929e-06, + "loss": 0.8806, + "step": 25947 + }, + { + "epoch": 0.61, + "grad_norm": 1.5441267867056896, + "learning_rate": 6.931028008082602e-06, + "loss": 0.9548, + "step": 25948 + }, + { + "epoch": 0.61, + "grad_norm": 1.49919641058654, + "learning_rate": 6.930301798281803e-06, + "loss": 0.9374, + "step": 25949 + }, + { + "epoch": 0.61, + "grad_norm": 1.636748588876532, + "learning_rate": 6.929575606353757e-06, + "loss": 0.8566, + "step": 25950 + }, + { + "epoch": 0.61, + "grad_norm": 2.585086764199919, + "learning_rate": 6.928849432302691e-06, + "loss": 0.9076, + "step": 25951 + }, + { + "epoch": 0.61, + "grad_norm": 1.7097538602295992, + "learning_rate": 6.9281232761328384e-06, + "loss": 0.9029, + "step": 25952 + }, + { + "epoch": 0.61, + "grad_norm": 1.4251718479251354, + "learning_rate": 6.927397137848427e-06, + "loss": 0.8668, + "step": 25953 + }, + { + "epoch": 0.61, + "grad_norm": 1.7859843252917875, + "learning_rate": 6.926671017453678e-06, + "loss": 0.8367, + "step": 25954 + }, + { + "epoch": 0.61, + "grad_norm": 2.023679976095039, + "learning_rate": 6.925944914952825e-06, + "loss": 0.9154, + "step": 25955 + }, + { + "epoch": 0.61, + "grad_norm": 1.6630520272388778, + "learning_rate": 6.925218830350097e-06, + "loss": 0.9247, + "step": 25956 + }, + { + "epoch": 0.61, + "grad_norm": 1.5007584700713823, + "learning_rate": 6.924492763649715e-06, + "loss": 0.8483, + "step": 25957 + }, + { + "epoch": 0.61, + "grad_norm": 1.5730136675253694, + "learning_rate": 6.923766714855909e-06, + "loss": 0.7997, + "step": 25958 + }, + { + "epoch": 0.61, + "grad_norm": 1.852593639205927, + "learning_rate": 6.923040683972908e-06, + "loss": 0.9998, + "step": 25959 + }, + { + "epoch": 0.61, + "grad_norm": 2.7151356342814, + "learning_rate": 6.922314671004942e-06, + "loss": 0.8861, + "step": 25960 + }, + { + "epoch": 0.61, + "grad_norm": 1.602013164900212, + "learning_rate": 6.92158867595623e-06, + "loss": 0.9602, + "step": 25961 + }, + { + "epoch": 0.61, + "grad_norm": 1.7188364565640855, + "learning_rate": 6.920862698831002e-06, + "loss": 0.8953, + "step": 25962 + }, + { + "epoch": 0.61, + "grad_norm": 0.7603334768324551, + "learning_rate": 6.920136739633494e-06, + "loss": 0.7506, + "step": 25963 + }, + { + "epoch": 0.61, + "grad_norm": 1.622434506771323, + "learning_rate": 6.919410798367917e-06, + "loss": 0.8843, + "step": 25964 + }, + { + "epoch": 0.61, + "grad_norm": 1.789808432654621, + "learning_rate": 6.9186848750385085e-06, + "loss": 0.8818, + "step": 25965 + }, + { + "epoch": 0.61, + "grad_norm": 1.6235514498911234, + "learning_rate": 6.91795896964949e-06, + "loss": 0.8053, + "step": 25966 + }, + { + "epoch": 0.61, + "grad_norm": 1.6707357364189386, + "learning_rate": 6.917233082205094e-06, + "loss": 0.9679, + "step": 25967 + }, + { + "epoch": 0.61, + "grad_norm": 1.6025573582065413, + "learning_rate": 6.916507212709541e-06, + "loss": 0.9195, + "step": 25968 + }, + { + "epoch": 0.61, + "grad_norm": 1.428640588822179, + "learning_rate": 6.91578136116706e-06, + "loss": 0.8863, + "step": 25969 + }, + { + "epoch": 0.61, + "grad_norm": 1.646349838850563, + "learning_rate": 6.915055527581878e-06, + "loss": 0.7639, + "step": 25970 + }, + { + "epoch": 0.61, + "grad_norm": 1.59967501275894, + "learning_rate": 6.914329711958214e-06, + "loss": 0.8708, + "step": 25971 + }, + { + "epoch": 0.61, + "grad_norm": 1.4559210662442759, + "learning_rate": 6.913603914300302e-06, + "loss": 0.9231, + "step": 25972 + }, + { + "epoch": 0.61, + "grad_norm": 1.499671068531624, + "learning_rate": 6.912878134612367e-06, + "loss": 0.9168, + "step": 25973 + }, + { + "epoch": 0.61, + "grad_norm": 1.8625553525915912, + "learning_rate": 6.912152372898633e-06, + "loss": 0.927, + "step": 25974 + }, + { + "epoch": 0.61, + "grad_norm": 0.7902926792860284, + "learning_rate": 6.911426629163323e-06, + "loss": 0.6669, + "step": 25975 + }, + { + "epoch": 0.61, + "grad_norm": 1.8140881737290822, + "learning_rate": 6.9107009034106655e-06, + "loss": 0.8278, + "step": 25976 + }, + { + "epoch": 0.61, + "grad_norm": 2.459391558539647, + "learning_rate": 6.909975195644887e-06, + "loss": 0.7626, + "step": 25977 + }, + { + "epoch": 0.61, + "grad_norm": 1.6645326803102476, + "learning_rate": 6.9092495058702105e-06, + "loss": 0.88, + "step": 25978 + }, + { + "epoch": 0.61, + "grad_norm": 1.732715771040539, + "learning_rate": 6.9085238340908585e-06, + "loss": 0.7752, + "step": 25979 + }, + { + "epoch": 0.61, + "grad_norm": 1.757579023167503, + "learning_rate": 6.907798180311063e-06, + "loss": 0.8873, + "step": 25980 + }, + { + "epoch": 0.61, + "grad_norm": 0.7993147198773458, + "learning_rate": 6.907072544535048e-06, + "loss": 0.6875, + "step": 25981 + }, + { + "epoch": 0.61, + "grad_norm": 2.010214776295769, + "learning_rate": 6.906346926767031e-06, + "loss": 0.8867, + "step": 25982 + }, + { + "epoch": 0.61, + "grad_norm": 1.497702179139444, + "learning_rate": 6.905621327011241e-06, + "loss": 0.894, + "step": 25983 + }, + { + "epoch": 0.61, + "grad_norm": 1.6468485642117427, + "learning_rate": 6.904895745271909e-06, + "loss": 0.841, + "step": 25984 + }, + { + "epoch": 0.61, + "grad_norm": 1.4302421200270183, + "learning_rate": 6.904170181553251e-06, + "loss": 0.85, + "step": 25985 + }, + { + "epoch": 0.61, + "grad_norm": 1.5807323089960308, + "learning_rate": 6.903444635859493e-06, + "loss": 0.7545, + "step": 25986 + }, + { + "epoch": 0.61, + "grad_norm": 1.6524133805846917, + "learning_rate": 6.902719108194859e-06, + "loss": 0.8996, + "step": 25987 + }, + { + "epoch": 0.61, + "grad_norm": 1.9162014252385053, + "learning_rate": 6.90199359856358e-06, + "loss": 0.9141, + "step": 25988 + }, + { + "epoch": 0.61, + "grad_norm": 1.5897213725791493, + "learning_rate": 6.901268106969872e-06, + "loss": 0.9035, + "step": 25989 + }, + { + "epoch": 0.61, + "grad_norm": 1.4900046236656634, + "learning_rate": 6.9005426334179635e-06, + "loss": 0.8398, + "step": 25990 + }, + { + "epoch": 0.61, + "grad_norm": 0.774306990874981, + "learning_rate": 6.899817177912078e-06, + "loss": 0.7327, + "step": 25991 + }, + { + "epoch": 0.61, + "grad_norm": 1.9314409150392167, + "learning_rate": 6.899091740456434e-06, + "loss": 0.8412, + "step": 25992 + }, + { + "epoch": 0.61, + "grad_norm": 1.6064042595209314, + "learning_rate": 6.898366321055263e-06, + "loss": 0.9008, + "step": 25993 + }, + { + "epoch": 0.61, + "grad_norm": 1.638587766975748, + "learning_rate": 6.897640919712782e-06, + "loss": 0.9206, + "step": 25994 + }, + { + "epoch": 0.61, + "grad_norm": 2.221719048002056, + "learning_rate": 6.896915536433224e-06, + "loss": 0.8505, + "step": 25995 + }, + { + "epoch": 0.61, + "grad_norm": 1.6074758487431458, + "learning_rate": 6.8961901712208005e-06, + "loss": 0.9314, + "step": 25996 + }, + { + "epoch": 0.61, + "grad_norm": 1.7068440044918285, + "learning_rate": 6.895464824079743e-06, + "loss": 0.9146, + "step": 25997 + }, + { + "epoch": 0.61, + "grad_norm": 1.6171827567086825, + "learning_rate": 6.894739495014273e-06, + "loss": 0.8612, + "step": 25998 + }, + { + "epoch": 0.61, + "grad_norm": 0.7924069014883933, + "learning_rate": 6.894014184028611e-06, + "loss": 0.6888, + "step": 25999 + }, + { + "epoch": 0.61, + "grad_norm": 1.6699255390085213, + "learning_rate": 6.893288891126981e-06, + "loss": 0.8187, + "step": 26000 + }, + { + "epoch": 0.61, + "grad_norm": 1.4682810483277942, + "learning_rate": 6.892563616313608e-06, + "loss": 0.8209, + "step": 26001 + }, + { + "epoch": 0.61, + "grad_norm": 2.000038390465195, + "learning_rate": 6.891838359592714e-06, + "loss": 0.8087, + "step": 26002 + }, + { + "epoch": 0.61, + "grad_norm": 1.5358803436689892, + "learning_rate": 6.891113120968518e-06, + "loss": 0.9045, + "step": 26003 + }, + { + "epoch": 0.61, + "grad_norm": 0.8319726799738152, + "learning_rate": 6.890387900445248e-06, + "loss": 0.7329, + "step": 26004 + }, + { + "epoch": 0.61, + "grad_norm": 1.7504783923709075, + "learning_rate": 6.8896626980271265e-06, + "loss": 0.7542, + "step": 26005 + }, + { + "epoch": 0.61, + "grad_norm": 1.7707229719968418, + "learning_rate": 6.8889375137183714e-06, + "loss": 0.8227, + "step": 26006 + }, + { + "epoch": 0.61, + "grad_norm": 1.5303699955187167, + "learning_rate": 6.888212347523204e-06, + "loss": 0.8125, + "step": 26007 + }, + { + "epoch": 0.61, + "grad_norm": 1.5394701467764536, + "learning_rate": 6.887487199445852e-06, + "loss": 0.8199, + "step": 26008 + }, + { + "epoch": 0.61, + "grad_norm": 1.528147890873533, + "learning_rate": 6.886762069490538e-06, + "loss": 0.8105, + "step": 26009 + }, + { + "epoch": 0.61, + "grad_norm": 1.6309819189019148, + "learning_rate": 6.886036957661477e-06, + "loss": 0.8607, + "step": 26010 + }, + { + "epoch": 0.61, + "grad_norm": 1.6735593590500233, + "learning_rate": 6.885311863962894e-06, + "loss": 0.7021, + "step": 26011 + }, + { + "epoch": 0.61, + "grad_norm": 1.5806592033912348, + "learning_rate": 6.884586788399017e-06, + "loss": 0.8006, + "step": 26012 + }, + { + "epoch": 0.61, + "grad_norm": 1.6070254653356322, + "learning_rate": 6.883861730974057e-06, + "loss": 1.001, + "step": 26013 + }, + { + "epoch": 0.61, + "grad_norm": 1.6576159930918761, + "learning_rate": 6.883136691692241e-06, + "loss": 0.7708, + "step": 26014 + }, + { + "epoch": 0.61, + "grad_norm": 1.6641748897870015, + "learning_rate": 6.882411670557788e-06, + "loss": 0.8668, + "step": 26015 + }, + { + "epoch": 0.61, + "grad_norm": 1.4441421498398164, + "learning_rate": 6.881686667574926e-06, + "loss": 0.8119, + "step": 26016 + }, + { + "epoch": 0.61, + "grad_norm": 1.5588159416971585, + "learning_rate": 6.8809616827478695e-06, + "loss": 0.875, + "step": 26017 + }, + { + "epoch": 0.61, + "grad_norm": 0.7906605848897279, + "learning_rate": 6.880236716080841e-06, + "loss": 0.7151, + "step": 26018 + }, + { + "epoch": 0.61, + "grad_norm": 1.7182272426304264, + "learning_rate": 6.879511767578061e-06, + "loss": 0.9768, + "step": 26019 + }, + { + "epoch": 0.61, + "grad_norm": 1.5779849899107652, + "learning_rate": 6.878786837243755e-06, + "loss": 0.9311, + "step": 26020 + }, + { + "epoch": 0.61, + "grad_norm": 1.5370007652897293, + "learning_rate": 6.878061925082138e-06, + "loss": 0.8611, + "step": 26021 + }, + { + "epoch": 0.61, + "grad_norm": 1.7441490170534837, + "learning_rate": 6.877337031097433e-06, + "loss": 0.8477, + "step": 26022 + }, + { + "epoch": 0.61, + "grad_norm": 1.767985622431878, + "learning_rate": 6.8766121552938625e-06, + "loss": 0.9171, + "step": 26023 + }, + { + "epoch": 0.61, + "grad_norm": 1.669248072657922, + "learning_rate": 6.8758872976756406e-06, + "loss": 0.8585, + "step": 26024 + }, + { + "epoch": 0.61, + "grad_norm": 1.817111280054935, + "learning_rate": 6.875162458246994e-06, + "loss": 0.9314, + "step": 26025 + }, + { + "epoch": 0.61, + "grad_norm": 1.611582312294721, + "learning_rate": 6.874437637012141e-06, + "loss": 0.9063, + "step": 26026 + }, + { + "epoch": 0.61, + "grad_norm": 1.6048146484762054, + "learning_rate": 6.873712833975304e-06, + "loss": 0.8547, + "step": 26027 + }, + { + "epoch": 0.61, + "grad_norm": 1.7252899546969909, + "learning_rate": 6.872988049140695e-06, + "loss": 0.9459, + "step": 26028 + }, + { + "epoch": 0.61, + "grad_norm": 1.9180340591753284, + "learning_rate": 6.872263282512544e-06, + "loss": 0.7563, + "step": 26029 + }, + { + "epoch": 0.61, + "grad_norm": 1.7495519096853538, + "learning_rate": 6.8715385340950655e-06, + "loss": 0.9536, + "step": 26030 + }, + { + "epoch": 0.61, + "grad_norm": 1.7755828373450466, + "learning_rate": 6.87081380389248e-06, + "loss": 0.8773, + "step": 26031 + }, + { + "epoch": 0.61, + "grad_norm": 1.672589692187606, + "learning_rate": 6.8700890919090044e-06, + "loss": 0.8281, + "step": 26032 + }, + { + "epoch": 0.61, + "grad_norm": 3.971794395722507, + "learning_rate": 6.869364398148865e-06, + "loss": 0.7347, + "step": 26033 + }, + { + "epoch": 0.61, + "grad_norm": 1.5286894357853513, + "learning_rate": 6.868639722616277e-06, + "loss": 0.8895, + "step": 26034 + }, + { + "epoch": 0.61, + "grad_norm": 1.7281592080416122, + "learning_rate": 6.8679150653154595e-06, + "loss": 0.9186, + "step": 26035 + }, + { + "epoch": 0.61, + "grad_norm": 1.6423502710264108, + "learning_rate": 6.867190426250629e-06, + "loss": 0.9157, + "step": 26036 + }, + { + "epoch": 0.61, + "grad_norm": 1.797667197628964, + "learning_rate": 6.8664658054260124e-06, + "loss": 0.8658, + "step": 26037 + }, + { + "epoch": 0.61, + "grad_norm": 1.6106649102111348, + "learning_rate": 6.865741202845821e-06, + "loss": 0.877, + "step": 26038 + }, + { + "epoch": 0.61, + "grad_norm": 1.6208858377128639, + "learning_rate": 6.865016618514277e-06, + "loss": 0.8045, + "step": 26039 + }, + { + "epoch": 0.61, + "grad_norm": 1.8339278184924486, + "learning_rate": 6.864292052435597e-06, + "loss": 0.8741, + "step": 26040 + }, + { + "epoch": 0.61, + "grad_norm": 1.6081734952834674, + "learning_rate": 6.863567504614006e-06, + "loss": 0.8055, + "step": 26041 + }, + { + "epoch": 0.61, + "grad_norm": 1.5204187707556192, + "learning_rate": 6.862842975053714e-06, + "loss": 0.9407, + "step": 26042 + }, + { + "epoch": 0.61, + "grad_norm": 1.5884285258195348, + "learning_rate": 6.862118463758944e-06, + "loss": 0.8615, + "step": 26043 + }, + { + "epoch": 0.61, + "grad_norm": 1.581421510780213, + "learning_rate": 6.8613939707339185e-06, + "loss": 0.7892, + "step": 26044 + }, + { + "epoch": 0.61, + "grad_norm": 1.8452302208325595, + "learning_rate": 6.860669495982844e-06, + "loss": 0.8693, + "step": 26045 + }, + { + "epoch": 0.61, + "grad_norm": 1.7637466973412954, + "learning_rate": 6.859945039509948e-06, + "loss": 0.8074, + "step": 26046 + }, + { + "epoch": 0.61, + "grad_norm": 1.6819841136923035, + "learning_rate": 6.859220601319445e-06, + "loss": 0.9524, + "step": 26047 + }, + { + "epoch": 0.61, + "grad_norm": 1.8176748230383946, + "learning_rate": 6.8584961814155595e-06, + "loss": 0.8468, + "step": 26048 + }, + { + "epoch": 0.61, + "grad_norm": 1.5740853950433236, + "learning_rate": 6.857771779802498e-06, + "loss": 0.7745, + "step": 26049 + }, + { + "epoch": 0.61, + "grad_norm": 1.6442238960136986, + "learning_rate": 6.857047396484486e-06, + "loss": 0.727, + "step": 26050 + }, + { + "epoch": 0.61, + "grad_norm": 0.7303529425018893, + "learning_rate": 6.856323031465741e-06, + "loss": 0.6527, + "step": 26051 + }, + { + "epoch": 0.61, + "grad_norm": 1.5263252985503142, + "learning_rate": 6.855598684750475e-06, + "loss": 0.8416, + "step": 26052 + }, + { + "epoch": 0.61, + "grad_norm": 1.6740543675679376, + "learning_rate": 6.854874356342911e-06, + "loss": 0.9686, + "step": 26053 + }, + { + "epoch": 0.61, + "grad_norm": 1.7059632205094757, + "learning_rate": 6.854150046247263e-06, + "loss": 0.7969, + "step": 26054 + }, + { + "epoch": 0.61, + "grad_norm": 2.3991370184540237, + "learning_rate": 6.853425754467753e-06, + "loss": 0.9257, + "step": 26055 + }, + { + "epoch": 0.61, + "grad_norm": 0.8119410035230852, + "learning_rate": 6.852701481008589e-06, + "loss": 0.7256, + "step": 26056 + }, + { + "epoch": 0.61, + "grad_norm": 1.4168834486815902, + "learning_rate": 6.851977225873996e-06, + "loss": 0.7952, + "step": 26057 + }, + { + "epoch": 0.61, + "grad_norm": 1.6708485241524151, + "learning_rate": 6.851252989068191e-06, + "loss": 0.8405, + "step": 26058 + }, + { + "epoch": 0.61, + "grad_norm": 1.6646181328737266, + "learning_rate": 6.8505287705953835e-06, + "loss": 0.888, + "step": 26059 + }, + { + "epoch": 0.61, + "grad_norm": 1.6786801567932508, + "learning_rate": 6.849804570459795e-06, + "loss": 0.8109, + "step": 26060 + }, + { + "epoch": 0.61, + "grad_norm": 1.8168488433709462, + "learning_rate": 6.849080388665643e-06, + "loss": 0.8595, + "step": 26061 + }, + { + "epoch": 0.61, + "grad_norm": 2.3304572350075743, + "learning_rate": 6.848356225217146e-06, + "loss": 0.8315, + "step": 26062 + }, + { + "epoch": 0.61, + "grad_norm": 0.7567064657524708, + "learning_rate": 6.8476320801185116e-06, + "loss": 0.7398, + "step": 26063 + }, + { + "epoch": 0.61, + "grad_norm": 1.6402475250279245, + "learning_rate": 6.846907953373962e-06, + "loss": 0.7786, + "step": 26064 + }, + { + "epoch": 0.61, + "grad_norm": 1.8643141587074, + "learning_rate": 6.846183844987715e-06, + "loss": 0.8382, + "step": 26065 + }, + { + "epoch": 0.61, + "grad_norm": 0.7422084206217544, + "learning_rate": 6.845459754963983e-06, + "loss": 0.6947, + "step": 26066 + }, + { + "epoch": 0.61, + "grad_norm": 1.4532721808089366, + "learning_rate": 6.844735683306982e-06, + "loss": 0.8828, + "step": 26067 + }, + { + "epoch": 0.61, + "grad_norm": 3.2003743217225975, + "learning_rate": 6.844011630020928e-06, + "loss": 0.7486, + "step": 26068 + }, + { + "epoch": 0.61, + "grad_norm": 0.7576025955631388, + "learning_rate": 6.843287595110041e-06, + "loss": 0.7092, + "step": 26069 + }, + { + "epoch": 0.61, + "grad_norm": 1.3885386068500432, + "learning_rate": 6.842563578578531e-06, + "loss": 0.8827, + "step": 26070 + }, + { + "epoch": 0.61, + "grad_norm": 1.7462401281049635, + "learning_rate": 6.841839580430616e-06, + "loss": 0.8905, + "step": 26071 + }, + { + "epoch": 0.61, + "grad_norm": 1.7272421347400513, + "learning_rate": 6.8411156006705116e-06, + "loss": 0.7677, + "step": 26072 + }, + { + "epoch": 0.61, + "grad_norm": 0.7131619972857838, + "learning_rate": 6.8403916393024285e-06, + "loss": 0.6781, + "step": 26073 + }, + { + "epoch": 0.61, + "grad_norm": 1.5468238893016, + "learning_rate": 6.839667696330589e-06, + "loss": 0.8222, + "step": 26074 + }, + { + "epoch": 0.61, + "grad_norm": 1.551810608769754, + "learning_rate": 6.838943771759204e-06, + "loss": 0.8082, + "step": 26075 + }, + { + "epoch": 0.61, + "grad_norm": 0.8156424690565093, + "learning_rate": 6.838219865592491e-06, + "loss": 0.6959, + "step": 26076 + }, + { + "epoch": 0.61, + "grad_norm": 0.7447879736660872, + "learning_rate": 6.837495977834658e-06, + "loss": 0.6772, + "step": 26077 + }, + { + "epoch": 0.61, + "grad_norm": 1.5311807247782097, + "learning_rate": 6.836772108489928e-06, + "loss": 0.8346, + "step": 26078 + }, + { + "epoch": 0.61, + "grad_norm": 1.4610394789520431, + "learning_rate": 6.836048257562513e-06, + "loss": 0.8852, + "step": 26079 + }, + { + "epoch": 0.61, + "grad_norm": 1.4981271254340116, + "learning_rate": 6.835324425056626e-06, + "loss": 0.8361, + "step": 26080 + }, + { + "epoch": 0.61, + "grad_norm": 1.4924125837293145, + "learning_rate": 6.834600610976478e-06, + "loss": 0.9575, + "step": 26081 + }, + { + "epoch": 0.61, + "grad_norm": 1.490727644055166, + "learning_rate": 6.8338768153262925e-06, + "loss": 0.7827, + "step": 26082 + }, + { + "epoch": 0.61, + "grad_norm": 1.572147591377844, + "learning_rate": 6.833153038110279e-06, + "loss": 0.8868, + "step": 26083 + }, + { + "epoch": 0.61, + "grad_norm": 1.8188298180684683, + "learning_rate": 6.8324292793326485e-06, + "loss": 0.7541, + "step": 26084 + }, + { + "epoch": 0.61, + "grad_norm": 0.7435374407954355, + "learning_rate": 6.831705538997617e-06, + "loss": 0.7558, + "step": 26085 + }, + { + "epoch": 0.61, + "grad_norm": 1.55216426881568, + "learning_rate": 6.830981817109401e-06, + "loss": 1.0582, + "step": 26086 + }, + { + "epoch": 0.61, + "grad_norm": 1.6548569998322933, + "learning_rate": 6.830258113672213e-06, + "loss": 0.9042, + "step": 26087 + }, + { + "epoch": 0.61, + "grad_norm": 1.510596467863747, + "learning_rate": 6.829534428690263e-06, + "loss": 0.8322, + "step": 26088 + }, + { + "epoch": 0.61, + "grad_norm": 1.5376253757752298, + "learning_rate": 6.8288107621677655e-06, + "loss": 0.9394, + "step": 26089 + }, + { + "epoch": 0.61, + "grad_norm": 1.6701970678140872, + "learning_rate": 6.8280871141089415e-06, + "loss": 0.8987, + "step": 26090 + }, + { + "epoch": 0.61, + "grad_norm": 1.4902916556618546, + "learning_rate": 6.8273634845179955e-06, + "loss": 0.7915, + "step": 26091 + }, + { + "epoch": 0.61, + "grad_norm": 1.4473481724445432, + "learning_rate": 6.8266398733991415e-06, + "loss": 0.8291, + "step": 26092 + }, + { + "epoch": 0.61, + "grad_norm": 1.5010025686498911, + "learning_rate": 6.825916280756601e-06, + "loss": 0.7655, + "step": 26093 + }, + { + "epoch": 0.61, + "grad_norm": 1.497984219960427, + "learning_rate": 6.8251927065945755e-06, + "loss": 0.7827, + "step": 26094 + }, + { + "epoch": 0.61, + "grad_norm": 0.8043450828775175, + "learning_rate": 6.824469150917286e-06, + "loss": 0.694, + "step": 26095 + }, + { + "epoch": 0.61, + "grad_norm": 1.519404851657204, + "learning_rate": 6.8237456137289385e-06, + "loss": 0.8298, + "step": 26096 + }, + { + "epoch": 0.61, + "grad_norm": 0.7512447819114436, + "learning_rate": 6.823022095033756e-06, + "loss": 0.7393, + "step": 26097 + }, + { + "epoch": 0.61, + "grad_norm": 1.9013953045051617, + "learning_rate": 6.822298594835939e-06, + "loss": 0.8639, + "step": 26098 + }, + { + "epoch": 0.61, + "grad_norm": 1.5503398107225395, + "learning_rate": 6.821575113139707e-06, + "loss": 0.8508, + "step": 26099 + }, + { + "epoch": 0.61, + "grad_norm": 1.6475402480857735, + "learning_rate": 6.820851649949274e-06, + "loss": 0.8718, + "step": 26100 + }, + { + "epoch": 0.61, + "grad_norm": 1.540074200133334, + "learning_rate": 6.820128205268845e-06, + "loss": 0.9078, + "step": 26101 + }, + { + "epoch": 0.61, + "grad_norm": 1.5770009071848492, + "learning_rate": 6.8194047791026375e-06, + "loss": 0.9124, + "step": 26102 + }, + { + "epoch": 0.61, + "grad_norm": 1.7269269969418273, + "learning_rate": 6.8186813714548625e-06, + "loss": 0.9247, + "step": 26103 + }, + { + "epoch": 0.61, + "grad_norm": 1.5717345673085419, + "learning_rate": 6.817957982329735e-06, + "loss": 0.9463, + "step": 26104 + }, + { + "epoch": 0.62, + "grad_norm": 1.601753254177974, + "learning_rate": 6.817234611731458e-06, + "loss": 0.8694, + "step": 26105 + }, + { + "epoch": 0.62, + "grad_norm": 1.7887466305517763, + "learning_rate": 6.816511259664251e-06, + "loss": 0.826, + "step": 26106 + }, + { + "epoch": 0.62, + "grad_norm": 1.7893467145040065, + "learning_rate": 6.8157879261323265e-06, + "loss": 0.7934, + "step": 26107 + }, + { + "epoch": 0.62, + "grad_norm": 1.5416387039540904, + "learning_rate": 6.81506461113989e-06, + "loss": 0.9703, + "step": 26108 + }, + { + "epoch": 0.62, + "grad_norm": 1.8659526657713372, + "learning_rate": 6.814341314691153e-06, + "loss": 0.9646, + "step": 26109 + }, + { + "epoch": 0.62, + "grad_norm": 2.071576695879168, + "learning_rate": 6.813618036790333e-06, + "loss": 0.9514, + "step": 26110 + }, + { + "epoch": 0.62, + "grad_norm": 1.6616907720630003, + "learning_rate": 6.812894777441638e-06, + "loss": 0.7573, + "step": 26111 + }, + { + "epoch": 0.62, + "grad_norm": 1.5353505892789034, + "learning_rate": 6.812171536649278e-06, + "loss": 0.8216, + "step": 26112 + }, + { + "epoch": 0.62, + "grad_norm": 1.995722548934547, + "learning_rate": 6.811448314417461e-06, + "loss": 0.9105, + "step": 26113 + }, + { + "epoch": 0.62, + "grad_norm": 3.0815025777864014, + "learning_rate": 6.8107251107504065e-06, + "loss": 0.8358, + "step": 26114 + }, + { + "epoch": 0.62, + "grad_norm": 1.6362303434219356, + "learning_rate": 6.810001925652319e-06, + "loss": 0.8355, + "step": 26115 + }, + { + "epoch": 0.62, + "grad_norm": 1.7555821475257318, + "learning_rate": 6.809278759127409e-06, + "loss": 0.7753, + "step": 26116 + }, + { + "epoch": 0.62, + "grad_norm": 1.5318103515453076, + "learning_rate": 6.808555611179886e-06, + "loss": 0.9187, + "step": 26117 + }, + { + "epoch": 0.62, + "grad_norm": 1.560290038711213, + "learning_rate": 6.807832481813967e-06, + "loss": 0.9244, + "step": 26118 + }, + { + "epoch": 0.62, + "grad_norm": 1.6380740889314558, + "learning_rate": 6.807109371033856e-06, + "loss": 0.6797, + "step": 26119 + }, + { + "epoch": 0.62, + "grad_norm": 1.5500072023258398, + "learning_rate": 6.806386278843764e-06, + "loss": 0.7735, + "step": 26120 + }, + { + "epoch": 0.62, + "grad_norm": 1.7527945966852656, + "learning_rate": 6.8056632052479055e-06, + "loss": 0.9252, + "step": 26121 + }, + { + "epoch": 0.62, + "grad_norm": 1.463053354315804, + "learning_rate": 6.804940150250483e-06, + "loss": 0.8381, + "step": 26122 + }, + { + "epoch": 0.62, + "grad_norm": 1.9319132198126576, + "learning_rate": 6.804217113855712e-06, + "loss": 0.8522, + "step": 26123 + }, + { + "epoch": 0.62, + "grad_norm": 1.8147340118813229, + "learning_rate": 6.803494096067802e-06, + "loss": 0.8793, + "step": 26124 + }, + { + "epoch": 0.62, + "grad_norm": 2.159389667513035, + "learning_rate": 6.802771096890962e-06, + "loss": 0.8286, + "step": 26125 + }, + { + "epoch": 0.62, + "grad_norm": 1.575607793141436, + "learning_rate": 6.8020481163293975e-06, + "loss": 0.9438, + "step": 26126 + }, + { + "epoch": 0.62, + "grad_norm": 1.747095951837864, + "learning_rate": 6.801325154387323e-06, + "loss": 0.914, + "step": 26127 + }, + { + "epoch": 0.62, + "grad_norm": 1.6267624525929636, + "learning_rate": 6.800602211068947e-06, + "loss": 0.8784, + "step": 26128 + }, + { + "epoch": 0.62, + "grad_norm": 1.4723003389225806, + "learning_rate": 6.7998792863784775e-06, + "loss": 0.8489, + "step": 26129 + }, + { + "epoch": 0.62, + "grad_norm": 1.6008017399516445, + "learning_rate": 6.799156380320122e-06, + "loss": 0.9453, + "step": 26130 + }, + { + "epoch": 0.62, + "grad_norm": 0.7879590943322687, + "learning_rate": 6.798433492898093e-06, + "loss": 0.7655, + "step": 26131 + }, + { + "epoch": 0.62, + "grad_norm": 1.8630184153868794, + "learning_rate": 6.797710624116601e-06, + "loss": 0.885, + "step": 26132 + }, + { + "epoch": 0.62, + "grad_norm": 1.4890609710400058, + "learning_rate": 6.796987773979846e-06, + "loss": 0.9837, + "step": 26133 + }, + { + "epoch": 0.62, + "grad_norm": 0.8095778732311999, + "learning_rate": 6.796264942492044e-06, + "loss": 0.7473, + "step": 26134 + }, + { + "epoch": 0.62, + "grad_norm": 0.7478658358876074, + "learning_rate": 6.7955421296574045e-06, + "loss": 0.7233, + "step": 26135 + }, + { + "epoch": 0.62, + "grad_norm": 2.360434388223447, + "learning_rate": 6.7948193354801306e-06, + "loss": 1.0047, + "step": 26136 + }, + { + "epoch": 0.62, + "grad_norm": 1.5403116094409888, + "learning_rate": 6.794096559964434e-06, + "loss": 0.8102, + "step": 26137 + }, + { + "epoch": 0.62, + "grad_norm": 1.4806317840244783, + "learning_rate": 6.7933738031145205e-06, + "loss": 0.9178, + "step": 26138 + }, + { + "epoch": 0.62, + "grad_norm": 1.4078705844079389, + "learning_rate": 6.792651064934602e-06, + "loss": 0.7859, + "step": 26139 + }, + { + "epoch": 0.62, + "grad_norm": 1.5145748293168586, + "learning_rate": 6.791928345428884e-06, + "loss": 0.8037, + "step": 26140 + }, + { + "epoch": 0.62, + "grad_norm": 1.7024419440395153, + "learning_rate": 6.791205644601573e-06, + "loss": 0.7644, + "step": 26141 + }, + { + "epoch": 0.62, + "grad_norm": 2.112577816558648, + "learning_rate": 6.790482962456879e-06, + "loss": 0.8059, + "step": 26142 + }, + { + "epoch": 0.62, + "grad_norm": 1.7421505202544527, + "learning_rate": 6.789760298999013e-06, + "loss": 0.753, + "step": 26143 + }, + { + "epoch": 0.62, + "grad_norm": 2.025832105662269, + "learning_rate": 6.789037654232177e-06, + "loss": 0.8364, + "step": 26144 + }, + { + "epoch": 0.62, + "grad_norm": 1.5844091362630432, + "learning_rate": 6.788315028160577e-06, + "loss": 0.8087, + "step": 26145 + }, + { + "epoch": 0.62, + "grad_norm": 0.8082283320802589, + "learning_rate": 6.787592420788431e-06, + "loss": 0.7207, + "step": 26146 + }, + { + "epoch": 0.62, + "grad_norm": 1.4431661879545714, + "learning_rate": 6.786869832119933e-06, + "loss": 0.7717, + "step": 26147 + }, + { + "epoch": 0.62, + "grad_norm": 1.6887520455708023, + "learning_rate": 6.786147262159297e-06, + "loss": 0.9089, + "step": 26148 + }, + { + "epoch": 0.62, + "grad_norm": 0.7449005174674154, + "learning_rate": 6.7854247109107285e-06, + "loss": 0.6594, + "step": 26149 + }, + { + "epoch": 0.62, + "grad_norm": 1.550217485880568, + "learning_rate": 6.784702178378437e-06, + "loss": 0.8297, + "step": 26150 + }, + { + "epoch": 0.62, + "grad_norm": 1.6103060105873528, + "learning_rate": 6.783979664566627e-06, + "loss": 0.845, + "step": 26151 + }, + { + "epoch": 0.62, + "grad_norm": 1.62615954909503, + "learning_rate": 6.783257169479504e-06, + "loss": 0.7894, + "step": 26152 + }, + { + "epoch": 0.62, + "grad_norm": 1.8184094163480824, + "learning_rate": 6.782534693121281e-06, + "loss": 0.8786, + "step": 26153 + }, + { + "epoch": 0.62, + "grad_norm": 1.5768499900271222, + "learning_rate": 6.781812235496153e-06, + "loss": 0.9285, + "step": 26154 + }, + { + "epoch": 0.62, + "grad_norm": 1.5163249822638907, + "learning_rate": 6.7810897966083365e-06, + "loss": 0.981, + "step": 26155 + }, + { + "epoch": 0.62, + "grad_norm": 1.5627872921159354, + "learning_rate": 6.780367376462033e-06, + "loss": 0.8591, + "step": 26156 + }, + { + "epoch": 0.62, + "grad_norm": 4.857563490372103, + "learning_rate": 6.779644975061454e-06, + "loss": 0.9021, + "step": 26157 + }, + { + "epoch": 0.62, + "grad_norm": 2.1088393396186746, + "learning_rate": 6.778922592410796e-06, + "loss": 0.8628, + "step": 26158 + }, + { + "epoch": 0.62, + "grad_norm": 1.8231965092738267, + "learning_rate": 6.778200228514274e-06, + "loss": 0.8335, + "step": 26159 + }, + { + "epoch": 0.62, + "grad_norm": 1.5138874676242298, + "learning_rate": 6.777477883376089e-06, + "loss": 0.7348, + "step": 26160 + }, + { + "epoch": 0.62, + "grad_norm": 1.7747165061532664, + "learning_rate": 6.776755557000449e-06, + "loss": 0.8927, + "step": 26161 + }, + { + "epoch": 0.62, + "grad_norm": 1.5945101760420943, + "learning_rate": 6.776033249391555e-06, + "loss": 0.8102, + "step": 26162 + }, + { + "epoch": 0.62, + "grad_norm": 1.5252686931019293, + "learning_rate": 6.775310960553618e-06, + "loss": 0.8678, + "step": 26163 + }, + { + "epoch": 0.62, + "grad_norm": 1.5436272136065379, + "learning_rate": 6.774588690490844e-06, + "loss": 0.805, + "step": 26164 + }, + { + "epoch": 0.62, + "grad_norm": 1.514212570929323, + "learning_rate": 6.7738664392074345e-06, + "loss": 0.801, + "step": 26165 + }, + { + "epoch": 0.62, + "grad_norm": 1.683233425686288, + "learning_rate": 6.773144206707594e-06, + "loss": 0.8976, + "step": 26166 + }, + { + "epoch": 0.62, + "grad_norm": 0.7827123415593734, + "learning_rate": 6.772421992995533e-06, + "loss": 0.6479, + "step": 26167 + }, + { + "epoch": 0.62, + "grad_norm": 1.4526518400591313, + "learning_rate": 6.7716997980754505e-06, + "loss": 0.9099, + "step": 26168 + }, + { + "epoch": 0.62, + "grad_norm": 3.523022516979075, + "learning_rate": 6.770977621951554e-06, + "loss": 0.8613, + "step": 26169 + }, + { + "epoch": 0.62, + "grad_norm": 1.8723021788026273, + "learning_rate": 6.770255464628047e-06, + "loss": 0.8675, + "step": 26170 + }, + { + "epoch": 0.62, + "grad_norm": 0.7450201566164515, + "learning_rate": 6.769533326109139e-06, + "loss": 0.7862, + "step": 26171 + }, + { + "epoch": 0.62, + "grad_norm": 0.7818437017466652, + "learning_rate": 6.768811206399028e-06, + "loss": 0.7123, + "step": 26172 + }, + { + "epoch": 0.62, + "grad_norm": 1.9086164197246867, + "learning_rate": 6.7680891055019215e-06, + "loss": 0.8029, + "step": 26173 + }, + { + "epoch": 0.62, + "grad_norm": 3.23262295925846, + "learning_rate": 6.767367023422025e-06, + "loss": 0.8318, + "step": 26174 + }, + { + "epoch": 0.62, + "grad_norm": 1.6412929310243953, + "learning_rate": 6.766644960163538e-06, + "loss": 0.8219, + "step": 26175 + }, + { + "epoch": 0.62, + "grad_norm": 1.728628482912583, + "learning_rate": 6.765922915730669e-06, + "loss": 0.8235, + "step": 26176 + }, + { + "epoch": 0.62, + "grad_norm": 1.5348454101481654, + "learning_rate": 6.765200890127619e-06, + "loss": 0.8008, + "step": 26177 + }, + { + "epoch": 0.62, + "grad_norm": 1.5523869560460435, + "learning_rate": 6.7644788833586e-06, + "loss": 0.8179, + "step": 26178 + }, + { + "epoch": 0.62, + "grad_norm": 1.405183666931076, + "learning_rate": 6.763756895427802e-06, + "loss": 0.79, + "step": 26179 + }, + { + "epoch": 0.62, + "grad_norm": 1.6931634021843665, + "learning_rate": 6.763034926339438e-06, + "loss": 0.9365, + "step": 26180 + }, + { + "epoch": 0.62, + "grad_norm": 2.5871730594599036, + "learning_rate": 6.762312976097714e-06, + "loss": 0.9067, + "step": 26181 + }, + { + "epoch": 0.62, + "grad_norm": 1.4425167277507458, + "learning_rate": 6.7615910447068235e-06, + "loss": 0.8544, + "step": 26182 + }, + { + "epoch": 0.62, + "grad_norm": 2.62223372742696, + "learning_rate": 6.7608691321709755e-06, + "loss": 0.8437, + "step": 26183 + }, + { + "epoch": 0.62, + "grad_norm": 3.3106211194448805, + "learning_rate": 6.760147238494374e-06, + "loss": 0.8418, + "step": 26184 + }, + { + "epoch": 0.62, + "grad_norm": 1.7662749730595666, + "learning_rate": 6.759425363681223e-06, + "loss": 0.8224, + "step": 26185 + }, + { + "epoch": 0.62, + "grad_norm": 1.7271591312593593, + "learning_rate": 6.758703507735721e-06, + "loss": 0.9365, + "step": 26186 + }, + { + "epoch": 0.62, + "grad_norm": 2.3444338193478718, + "learning_rate": 6.7579816706620724e-06, + "loss": 0.7396, + "step": 26187 + }, + { + "epoch": 0.62, + "grad_norm": 0.7830466726356337, + "learning_rate": 6.757259852464484e-06, + "loss": 0.7059, + "step": 26188 + }, + { + "epoch": 0.62, + "grad_norm": 1.57787290584691, + "learning_rate": 6.7565380531471545e-06, + "loss": 0.818, + "step": 26189 + }, + { + "epoch": 0.62, + "grad_norm": 1.8400972261580473, + "learning_rate": 6.755816272714284e-06, + "loss": 0.8831, + "step": 26190 + }, + { + "epoch": 0.62, + "grad_norm": 1.4944170164047474, + "learning_rate": 6.755094511170082e-06, + "loss": 0.9515, + "step": 26191 + }, + { + "epoch": 0.62, + "grad_norm": 1.4917032475893146, + "learning_rate": 6.754372768518746e-06, + "loss": 0.9287, + "step": 26192 + }, + { + "epoch": 0.62, + "grad_norm": 1.6533092019878906, + "learning_rate": 6.7536510447644795e-06, + "loss": 0.8149, + "step": 26193 + }, + { + "epoch": 0.62, + "grad_norm": 1.7486748001453858, + "learning_rate": 6.752929339911483e-06, + "loss": 0.9361, + "step": 26194 + }, + { + "epoch": 0.62, + "grad_norm": 1.710532871168271, + "learning_rate": 6.752207653963965e-06, + "loss": 0.7201, + "step": 26195 + }, + { + "epoch": 0.62, + "grad_norm": 1.9046752912702023, + "learning_rate": 6.7514859869261164e-06, + "loss": 0.8961, + "step": 26196 + }, + { + "epoch": 0.62, + "grad_norm": 2.197861333892022, + "learning_rate": 6.750764338802147e-06, + "loss": 0.7856, + "step": 26197 + }, + { + "epoch": 0.62, + "grad_norm": 1.6714524553729777, + "learning_rate": 6.750042709596254e-06, + "loss": 0.8733, + "step": 26198 + }, + { + "epoch": 0.62, + "grad_norm": 1.9484326458038714, + "learning_rate": 6.749321099312644e-06, + "loss": 0.8427, + "step": 26199 + }, + { + "epoch": 0.62, + "grad_norm": 1.4326751945857539, + "learning_rate": 6.748599507955516e-06, + "loss": 0.8401, + "step": 26200 + }, + { + "epoch": 0.62, + "grad_norm": 2.174531352194189, + "learning_rate": 6.74787793552907e-06, + "loss": 0.8725, + "step": 26201 + }, + { + "epoch": 0.62, + "grad_norm": 1.670567611163484, + "learning_rate": 6.747156382037511e-06, + "loss": 0.8987, + "step": 26202 + }, + { + "epoch": 0.62, + "grad_norm": 1.6918859716917236, + "learning_rate": 6.7464348474850324e-06, + "loss": 0.813, + "step": 26203 + }, + { + "epoch": 0.62, + "grad_norm": 1.670321476036023, + "learning_rate": 6.745713331875843e-06, + "loss": 0.9082, + "step": 26204 + }, + { + "epoch": 0.62, + "grad_norm": 1.5829648981368083, + "learning_rate": 6.74499183521414e-06, + "loss": 0.8722, + "step": 26205 + }, + { + "epoch": 0.62, + "grad_norm": 1.995281014263687, + "learning_rate": 6.744270357504128e-06, + "loss": 0.9204, + "step": 26206 + }, + { + "epoch": 0.62, + "grad_norm": 1.8703173966751248, + "learning_rate": 6.743548898749999e-06, + "loss": 0.833, + "step": 26207 + }, + { + "epoch": 0.62, + "grad_norm": 1.477459734743052, + "learning_rate": 6.7428274589559626e-06, + "loss": 0.921, + "step": 26208 + }, + { + "epoch": 0.62, + "grad_norm": 2.362308960870731, + "learning_rate": 6.742106038126218e-06, + "loss": 0.8017, + "step": 26209 + }, + { + "epoch": 0.62, + "grad_norm": 1.5583433510895068, + "learning_rate": 6.741384636264961e-06, + "loss": 0.9331, + "step": 26210 + }, + { + "epoch": 0.62, + "grad_norm": 2.403149038614186, + "learning_rate": 6.740663253376393e-06, + "loss": 0.8577, + "step": 26211 + }, + { + "epoch": 0.62, + "grad_norm": 2.1942013617757405, + "learning_rate": 6.7399418894647164e-06, + "loss": 0.7513, + "step": 26212 + }, + { + "epoch": 0.62, + "grad_norm": 1.6878459747224508, + "learning_rate": 6.739220544534133e-06, + "loss": 0.9025, + "step": 26213 + }, + { + "epoch": 0.62, + "grad_norm": 1.6645073935386723, + "learning_rate": 6.738499218588839e-06, + "loss": 0.9048, + "step": 26214 + }, + { + "epoch": 0.62, + "grad_norm": 1.665379402155701, + "learning_rate": 6.737777911633031e-06, + "loss": 0.93, + "step": 26215 + }, + { + "epoch": 0.62, + "grad_norm": 2.348954879754029, + "learning_rate": 6.737056623670918e-06, + "loss": 0.7787, + "step": 26216 + }, + { + "epoch": 0.62, + "grad_norm": 2.0060687342251904, + "learning_rate": 6.736335354706691e-06, + "loss": 0.8182, + "step": 26217 + }, + { + "epoch": 0.62, + "grad_norm": 1.7832414667281251, + "learning_rate": 6.7356141047445545e-06, + "loss": 0.9445, + "step": 26218 + }, + { + "epoch": 0.62, + "grad_norm": 2.041556852137011, + "learning_rate": 6.734892873788703e-06, + "loss": 0.7578, + "step": 26219 + }, + { + "epoch": 0.62, + "grad_norm": 1.6918702284469769, + "learning_rate": 6.7341716618433435e-06, + "loss": 0.8235, + "step": 26220 + }, + { + "epoch": 0.62, + "grad_norm": 1.570216858450944, + "learning_rate": 6.733450468912669e-06, + "loss": 0.9079, + "step": 26221 + }, + { + "epoch": 0.62, + "grad_norm": 0.7023430634000701, + "learning_rate": 6.732729295000879e-06, + "loss": 0.6959, + "step": 26222 + }, + { + "epoch": 0.62, + "grad_norm": 1.5315047613890322, + "learning_rate": 6.732008140112176e-06, + "loss": 0.7741, + "step": 26223 + }, + { + "epoch": 0.62, + "grad_norm": 1.5835044653408323, + "learning_rate": 6.731287004250752e-06, + "loss": 0.8857, + "step": 26224 + }, + { + "epoch": 0.62, + "grad_norm": 1.649380632601533, + "learning_rate": 6.730565887420813e-06, + "loss": 0.8633, + "step": 26225 + }, + { + "epoch": 0.62, + "grad_norm": 1.664283273306785, + "learning_rate": 6.729844789626552e-06, + "loss": 0.7801, + "step": 26226 + }, + { + "epoch": 0.62, + "grad_norm": 1.6518776878308183, + "learning_rate": 6.729123710872175e-06, + "loss": 0.9263, + "step": 26227 + }, + { + "epoch": 0.62, + "grad_norm": 2.7748384773775787, + "learning_rate": 6.728402651161869e-06, + "loss": 1.026, + "step": 26228 + }, + { + "epoch": 0.62, + "grad_norm": 1.7137067987717742, + "learning_rate": 6.727681610499842e-06, + "loss": 0.8094, + "step": 26229 + }, + { + "epoch": 0.62, + "grad_norm": 1.8607697018998515, + "learning_rate": 6.72696058889029e-06, + "loss": 0.8208, + "step": 26230 + }, + { + "epoch": 0.62, + "grad_norm": 1.4853615500260444, + "learning_rate": 6.726239586337408e-06, + "loss": 0.8185, + "step": 26231 + }, + { + "epoch": 0.62, + "grad_norm": 2.151488843620206, + "learning_rate": 6.725518602845394e-06, + "loss": 0.8262, + "step": 26232 + }, + { + "epoch": 0.62, + "grad_norm": 1.879279222225355, + "learning_rate": 6.7247976384184475e-06, + "loss": 0.8556, + "step": 26233 + }, + { + "epoch": 0.62, + "grad_norm": 1.589281315784002, + "learning_rate": 6.72407669306077e-06, + "loss": 0.9118, + "step": 26234 + }, + { + "epoch": 0.62, + "grad_norm": 1.907034284215859, + "learning_rate": 6.723355766776553e-06, + "loss": 0.8683, + "step": 26235 + }, + { + "epoch": 0.62, + "grad_norm": 1.6155474474259701, + "learning_rate": 6.722634859569992e-06, + "loss": 0.8451, + "step": 26236 + }, + { + "epoch": 0.62, + "grad_norm": 1.5730237142036831, + "learning_rate": 6.721913971445295e-06, + "loss": 0.7699, + "step": 26237 + }, + { + "epoch": 0.62, + "grad_norm": 1.6248791925836494, + "learning_rate": 6.721193102406649e-06, + "loss": 0.8877, + "step": 26238 + }, + { + "epoch": 0.62, + "grad_norm": 1.6814818004046006, + "learning_rate": 6.720472252458254e-06, + "loss": 0.9309, + "step": 26239 + }, + { + "epoch": 0.62, + "grad_norm": 1.6431323316677104, + "learning_rate": 6.719751421604309e-06, + "loss": 0.7856, + "step": 26240 + }, + { + "epoch": 0.62, + "grad_norm": 1.5266677886649729, + "learning_rate": 6.719030609849012e-06, + "loss": 0.7914, + "step": 26241 + }, + { + "epoch": 0.62, + "grad_norm": 1.7577750553341716, + "learning_rate": 6.718309817196556e-06, + "loss": 0.8858, + "step": 26242 + }, + { + "epoch": 0.62, + "grad_norm": 1.6961594278586254, + "learning_rate": 6.717589043651136e-06, + "loss": 0.8571, + "step": 26243 + }, + { + "epoch": 0.62, + "grad_norm": 0.812819905214564, + "learning_rate": 6.716868289216959e-06, + "loss": 0.6774, + "step": 26244 + }, + { + "epoch": 0.62, + "grad_norm": 1.8906904712128312, + "learning_rate": 6.716147553898206e-06, + "loss": 0.9369, + "step": 26245 + }, + { + "epoch": 0.62, + "grad_norm": 1.6982413489388748, + "learning_rate": 6.715426837699086e-06, + "loss": 0.9745, + "step": 26246 + }, + { + "epoch": 0.62, + "grad_norm": 0.756622792463329, + "learning_rate": 6.714706140623789e-06, + "loss": 0.7258, + "step": 26247 + }, + { + "epoch": 0.62, + "grad_norm": 1.5878611550317854, + "learning_rate": 6.7139854626765155e-06, + "loss": 0.9549, + "step": 26248 + }, + { + "epoch": 0.62, + "grad_norm": 1.4622703464017286, + "learning_rate": 6.713264803861459e-06, + "loss": 0.9042, + "step": 26249 + }, + { + "epoch": 0.62, + "grad_norm": 1.80189755668007, + "learning_rate": 6.712544164182813e-06, + "loss": 0.7518, + "step": 26250 + }, + { + "epoch": 0.62, + "grad_norm": 1.7479226303133684, + "learning_rate": 6.711823543644779e-06, + "loss": 0.8403, + "step": 26251 + }, + { + "epoch": 0.62, + "grad_norm": 1.6639749519758207, + "learning_rate": 6.711102942251544e-06, + "loss": 0.7706, + "step": 26252 + }, + { + "epoch": 0.62, + "grad_norm": 0.7748491586195132, + "learning_rate": 6.710382360007313e-06, + "loss": 0.7756, + "step": 26253 + }, + { + "epoch": 0.62, + "grad_norm": 1.8886390197803298, + "learning_rate": 6.7096617969162756e-06, + "loss": 0.8637, + "step": 26254 + }, + { + "epoch": 0.62, + "grad_norm": 1.489586588573539, + "learning_rate": 6.708941252982632e-06, + "loss": 0.857, + "step": 26255 + }, + { + "epoch": 0.62, + "grad_norm": 1.60737742396806, + "learning_rate": 6.70822072821057e-06, + "loss": 0.8565, + "step": 26256 + }, + { + "epoch": 0.62, + "grad_norm": 1.7164869909307041, + "learning_rate": 6.707500222604291e-06, + "loss": 0.867, + "step": 26257 + }, + { + "epoch": 0.62, + "grad_norm": 1.6222451987636544, + "learning_rate": 6.70677973616799e-06, + "loss": 0.8616, + "step": 26258 + }, + { + "epoch": 0.62, + "grad_norm": 1.6414328098325648, + "learning_rate": 6.706059268905858e-06, + "loss": 0.7686, + "step": 26259 + }, + { + "epoch": 0.62, + "grad_norm": 1.5248902406763392, + "learning_rate": 6.705338820822089e-06, + "loss": 0.7778, + "step": 26260 + }, + { + "epoch": 0.62, + "grad_norm": 1.5917268972980512, + "learning_rate": 6.704618391920884e-06, + "loss": 0.8432, + "step": 26261 + }, + { + "epoch": 0.62, + "grad_norm": 1.6345341682654175, + "learning_rate": 6.7038979822064355e-06, + "loss": 0.8524, + "step": 26262 + }, + { + "epoch": 0.62, + "grad_norm": 0.7113676284059042, + "learning_rate": 6.703177591682935e-06, + "loss": 0.6752, + "step": 26263 + }, + { + "epoch": 0.62, + "grad_norm": 0.7371651926853919, + "learning_rate": 6.702457220354575e-06, + "loss": 0.7138, + "step": 26264 + }, + { + "epoch": 0.62, + "grad_norm": 1.473143091630185, + "learning_rate": 6.701736868225556e-06, + "loss": 0.8514, + "step": 26265 + }, + { + "epoch": 0.62, + "grad_norm": 1.5889830823618452, + "learning_rate": 6.701016535300071e-06, + "loss": 0.8524, + "step": 26266 + }, + { + "epoch": 0.62, + "grad_norm": 2.8454336560982356, + "learning_rate": 6.7002962215823095e-06, + "loss": 0.8879, + "step": 26267 + }, + { + "epoch": 0.62, + "grad_norm": 0.7527660772387544, + "learning_rate": 6.699575927076467e-06, + "loss": 0.7611, + "step": 26268 + }, + { + "epoch": 0.62, + "grad_norm": 1.687061093859617, + "learning_rate": 6.698855651786742e-06, + "loss": 0.8941, + "step": 26269 + }, + { + "epoch": 0.62, + "grad_norm": 0.7480296928884184, + "learning_rate": 6.698135395717323e-06, + "loss": 0.6876, + "step": 26270 + }, + { + "epoch": 0.62, + "grad_norm": 1.7170012387550357, + "learning_rate": 6.697415158872405e-06, + "loss": 0.8787, + "step": 26271 + }, + { + "epoch": 0.62, + "grad_norm": 1.7076080272641407, + "learning_rate": 6.696694941256179e-06, + "loss": 0.8475, + "step": 26272 + }, + { + "epoch": 0.62, + "grad_norm": 1.719767485086475, + "learning_rate": 6.695974742872844e-06, + "loss": 0.7435, + "step": 26273 + }, + { + "epoch": 0.62, + "grad_norm": 1.9327169599676177, + "learning_rate": 6.69525456372659e-06, + "loss": 0.9685, + "step": 26274 + }, + { + "epoch": 0.62, + "grad_norm": 1.7478502318126443, + "learning_rate": 6.694534403821606e-06, + "loss": 0.8119, + "step": 26275 + }, + { + "epoch": 0.62, + "grad_norm": 1.6162000226461868, + "learning_rate": 6.6938142631620975e-06, + "loss": 0.8541, + "step": 26276 + }, + { + "epoch": 0.62, + "grad_norm": 1.7694459593063323, + "learning_rate": 6.693094141752241e-06, + "loss": 0.8695, + "step": 26277 + }, + { + "epoch": 0.62, + "grad_norm": 1.6442409844148862, + "learning_rate": 6.692374039596241e-06, + "loss": 0.7976, + "step": 26278 + }, + { + "epoch": 0.62, + "grad_norm": 1.4839882230082764, + "learning_rate": 6.691653956698283e-06, + "loss": 0.9587, + "step": 26279 + }, + { + "epoch": 0.62, + "grad_norm": 2.811544799131423, + "learning_rate": 6.69093389306257e-06, + "loss": 0.898, + "step": 26280 + }, + { + "epoch": 0.62, + "grad_norm": 1.6572825481585272, + "learning_rate": 6.690213848693282e-06, + "loss": 0.9159, + "step": 26281 + }, + { + "epoch": 0.62, + "grad_norm": 1.7575151209154054, + "learning_rate": 6.689493823594618e-06, + "loss": 0.9021, + "step": 26282 + }, + { + "epoch": 0.62, + "grad_norm": 1.518084146033868, + "learning_rate": 6.688773817770772e-06, + "loss": 0.794, + "step": 26283 + }, + { + "epoch": 0.62, + "grad_norm": 1.65044011473519, + "learning_rate": 6.68805383122593e-06, + "loss": 0.8184, + "step": 26284 + }, + { + "epoch": 0.62, + "grad_norm": 1.5759668194306777, + "learning_rate": 6.687333863964285e-06, + "loss": 0.8864, + "step": 26285 + }, + { + "epoch": 0.62, + "grad_norm": 3.378034068646356, + "learning_rate": 6.686613915990034e-06, + "loss": 0.9039, + "step": 26286 + }, + { + "epoch": 0.62, + "grad_norm": 1.7221812532170513, + "learning_rate": 6.685893987307368e-06, + "loss": 0.8661, + "step": 26287 + }, + { + "epoch": 0.62, + "grad_norm": 1.667437244803851, + "learning_rate": 6.685174077920471e-06, + "loss": 0.9865, + "step": 26288 + }, + { + "epoch": 0.62, + "grad_norm": 1.542375508229737, + "learning_rate": 6.684454187833543e-06, + "loss": 0.9914, + "step": 26289 + }, + { + "epoch": 0.62, + "grad_norm": 1.5396616520486048, + "learning_rate": 6.683734317050774e-06, + "loss": 0.7919, + "step": 26290 + }, + { + "epoch": 0.62, + "grad_norm": 1.5938038590449017, + "learning_rate": 6.683014465576353e-06, + "loss": 0.7803, + "step": 26291 + }, + { + "epoch": 0.62, + "grad_norm": 1.5603508006630729, + "learning_rate": 6.6822946334144675e-06, + "loss": 0.9195, + "step": 26292 + }, + { + "epoch": 0.62, + "grad_norm": 1.676797811946708, + "learning_rate": 6.681574820569317e-06, + "loss": 0.9169, + "step": 26293 + }, + { + "epoch": 0.62, + "grad_norm": 1.5585180385728454, + "learning_rate": 6.68085502704509e-06, + "loss": 0.7782, + "step": 26294 + }, + { + "epoch": 0.62, + "grad_norm": 1.5694734580280938, + "learning_rate": 6.680135252845974e-06, + "loss": 0.9108, + "step": 26295 + }, + { + "epoch": 0.62, + "grad_norm": 1.411988745483609, + "learning_rate": 6.6794154979761595e-06, + "loss": 0.8129, + "step": 26296 + }, + { + "epoch": 0.62, + "grad_norm": 2.7735996330958685, + "learning_rate": 6.678695762439843e-06, + "loss": 0.8597, + "step": 26297 + }, + { + "epoch": 0.62, + "grad_norm": 1.7236282346039244, + "learning_rate": 6.677976046241209e-06, + "loss": 0.8397, + "step": 26298 + }, + { + "epoch": 0.62, + "grad_norm": 1.4703321624883356, + "learning_rate": 6.677256349384451e-06, + "loss": 0.8406, + "step": 26299 + }, + { + "epoch": 0.62, + "grad_norm": 1.6374910892953527, + "learning_rate": 6.676536671873755e-06, + "loss": 0.8001, + "step": 26300 + }, + { + "epoch": 0.62, + "grad_norm": 1.8791128277849833, + "learning_rate": 6.675817013713321e-06, + "loss": 0.7698, + "step": 26301 + }, + { + "epoch": 0.62, + "grad_norm": 1.9673276650718612, + "learning_rate": 6.675097374907329e-06, + "loss": 0.8135, + "step": 26302 + }, + { + "epoch": 0.62, + "grad_norm": 2.020083479221207, + "learning_rate": 6.6743777554599735e-06, + "loss": 0.8472, + "step": 26303 + }, + { + "epoch": 0.62, + "grad_norm": 1.5604865183298926, + "learning_rate": 6.673658155375446e-06, + "loss": 0.9435, + "step": 26304 + }, + { + "epoch": 0.62, + "grad_norm": 0.8147389477283017, + "learning_rate": 6.672938574657928e-06, + "loss": 0.7279, + "step": 26305 + }, + { + "epoch": 0.62, + "grad_norm": 1.748330719292155, + "learning_rate": 6.672219013311618e-06, + "loss": 0.6935, + "step": 26306 + }, + { + "epoch": 0.62, + "grad_norm": 1.7937210735177787, + "learning_rate": 6.671499471340704e-06, + "loss": 0.9089, + "step": 26307 + }, + { + "epoch": 0.62, + "grad_norm": 1.7075975919150785, + "learning_rate": 6.670779948749373e-06, + "loss": 0.878, + "step": 26308 + }, + { + "epoch": 0.62, + "grad_norm": 1.5991277870373024, + "learning_rate": 6.6700604455418125e-06, + "loss": 0.8685, + "step": 26309 + }, + { + "epoch": 0.62, + "grad_norm": 0.76303859936227, + "learning_rate": 6.669340961722217e-06, + "loss": 0.7929, + "step": 26310 + }, + { + "epoch": 0.62, + "grad_norm": 1.556258878683456, + "learning_rate": 6.668621497294774e-06, + "loss": 0.8628, + "step": 26311 + }, + { + "epoch": 0.62, + "grad_norm": 1.6922884849877942, + "learning_rate": 6.667902052263671e-06, + "loss": 0.7394, + "step": 26312 + }, + { + "epoch": 0.62, + "grad_norm": 1.6503784887972248, + "learning_rate": 6.667182626633093e-06, + "loss": 0.7121, + "step": 26313 + }, + { + "epoch": 0.62, + "grad_norm": 2.237682341459534, + "learning_rate": 6.666463220407235e-06, + "loss": 0.8864, + "step": 26314 + }, + { + "epoch": 0.62, + "grad_norm": 0.7543558090921517, + "learning_rate": 6.665743833590287e-06, + "loss": 0.7314, + "step": 26315 + }, + { + "epoch": 0.62, + "grad_norm": 1.5937717335606383, + "learning_rate": 6.665024466186431e-06, + "loss": 0.9469, + "step": 26316 + }, + { + "epoch": 0.62, + "grad_norm": 1.5330203466555163, + "learning_rate": 6.664305118199857e-06, + "loss": 0.8704, + "step": 26317 + }, + { + "epoch": 0.62, + "grad_norm": 1.6358918912727118, + "learning_rate": 6.663585789634758e-06, + "loss": 0.8488, + "step": 26318 + }, + { + "epoch": 0.62, + "grad_norm": 1.714533636347372, + "learning_rate": 6.662866480495317e-06, + "loss": 0.8514, + "step": 26319 + }, + { + "epoch": 0.62, + "grad_norm": 1.6822037221011161, + "learning_rate": 6.6621471907857234e-06, + "loss": 0.8381, + "step": 26320 + }, + { + "epoch": 0.62, + "grad_norm": 1.74448325642925, + "learning_rate": 6.661427920510164e-06, + "loss": 0.7972, + "step": 26321 + }, + { + "epoch": 0.62, + "grad_norm": 1.4592589788749806, + "learning_rate": 6.660708669672833e-06, + "loss": 0.7863, + "step": 26322 + }, + { + "epoch": 0.62, + "grad_norm": 1.5821411230056979, + "learning_rate": 6.6599894382779104e-06, + "loss": 0.8492, + "step": 26323 + }, + { + "epoch": 0.62, + "grad_norm": 1.8579936595409243, + "learning_rate": 6.659270226329586e-06, + "loss": 0.9715, + "step": 26324 + }, + { + "epoch": 0.62, + "grad_norm": 1.6173039966455252, + "learning_rate": 6.658551033832052e-06, + "loss": 0.7793, + "step": 26325 + }, + { + "epoch": 0.62, + "grad_norm": 2.0485589291454582, + "learning_rate": 6.657831860789488e-06, + "loss": 0.7874, + "step": 26326 + }, + { + "epoch": 0.62, + "grad_norm": 1.9306448460719043, + "learning_rate": 6.657112707206086e-06, + "loss": 0.9202, + "step": 26327 + }, + { + "epoch": 0.62, + "grad_norm": 1.6643308376440762, + "learning_rate": 6.656393573086029e-06, + "loss": 0.8795, + "step": 26328 + }, + { + "epoch": 0.62, + "grad_norm": 1.561228729488703, + "learning_rate": 6.655674458433514e-06, + "loss": 0.8503, + "step": 26329 + }, + { + "epoch": 0.62, + "grad_norm": 1.8581462363924215, + "learning_rate": 6.6549553632527154e-06, + "loss": 0.9185, + "step": 26330 + }, + { + "epoch": 0.62, + "grad_norm": 1.7780131970244701, + "learning_rate": 6.6542362875478285e-06, + "loss": 0.8536, + "step": 26331 + }, + { + "epoch": 0.62, + "grad_norm": 1.6439829471224572, + "learning_rate": 6.6535172313230375e-06, + "loss": 0.7717, + "step": 26332 + }, + { + "epoch": 0.62, + "grad_norm": 1.5893509032657054, + "learning_rate": 6.652798194582528e-06, + "loss": 0.8001, + "step": 26333 + }, + { + "epoch": 0.62, + "grad_norm": 1.5426881079227472, + "learning_rate": 6.652079177330484e-06, + "loss": 0.8039, + "step": 26334 + }, + { + "epoch": 0.62, + "grad_norm": 1.8151984539804469, + "learning_rate": 6.6513601795710984e-06, + "loss": 0.9606, + "step": 26335 + }, + { + "epoch": 0.62, + "grad_norm": 1.7710696953292413, + "learning_rate": 6.650641201308554e-06, + "loss": 0.7426, + "step": 26336 + }, + { + "epoch": 0.62, + "grad_norm": 1.6917059780236414, + "learning_rate": 6.649922242547033e-06, + "loss": 0.8074, + "step": 26337 + }, + { + "epoch": 0.62, + "grad_norm": 1.680254828175585, + "learning_rate": 6.64920330329073e-06, + "loss": 0.7864, + "step": 26338 + }, + { + "epoch": 0.62, + "grad_norm": 1.55726042756815, + "learning_rate": 6.648484383543826e-06, + "loss": 0.7669, + "step": 26339 + }, + { + "epoch": 0.62, + "grad_norm": 1.7570225465348488, + "learning_rate": 6.647765483310506e-06, + "loss": 0.6524, + "step": 26340 + }, + { + "epoch": 0.62, + "grad_norm": 2.1359454892944103, + "learning_rate": 6.647046602594953e-06, + "loss": 0.8067, + "step": 26341 + }, + { + "epoch": 0.62, + "grad_norm": 1.4741905603889083, + "learning_rate": 6.64632774140136e-06, + "loss": 0.7841, + "step": 26342 + }, + { + "epoch": 0.62, + "grad_norm": 1.5314571347677004, + "learning_rate": 6.645608899733911e-06, + "loss": 0.9299, + "step": 26343 + }, + { + "epoch": 0.62, + "grad_norm": 1.6208572727778652, + "learning_rate": 6.644890077596785e-06, + "loss": 0.8893, + "step": 26344 + }, + { + "epoch": 0.62, + "grad_norm": 1.7647885020649345, + "learning_rate": 6.64417127499417e-06, + "loss": 0.7495, + "step": 26345 + }, + { + "epoch": 0.62, + "grad_norm": 1.7191032712084144, + "learning_rate": 6.643452491930257e-06, + "loss": 0.7823, + "step": 26346 + }, + { + "epoch": 0.62, + "grad_norm": 1.436419138896108, + "learning_rate": 6.642733728409223e-06, + "loss": 0.8225, + "step": 26347 + }, + { + "epoch": 0.62, + "grad_norm": 1.8470372295674127, + "learning_rate": 6.642014984435257e-06, + "loss": 0.8961, + "step": 26348 + }, + { + "epoch": 0.62, + "grad_norm": 1.7381908902246006, + "learning_rate": 6.641296260012541e-06, + "loss": 0.8916, + "step": 26349 + }, + { + "epoch": 0.62, + "grad_norm": 1.9006114954770355, + "learning_rate": 6.640577555145266e-06, + "loss": 0.7994, + "step": 26350 + }, + { + "epoch": 0.62, + "grad_norm": 1.5924085544136157, + "learning_rate": 6.639858869837608e-06, + "loss": 0.7922, + "step": 26351 + }, + { + "epoch": 0.62, + "grad_norm": 1.668122314193506, + "learning_rate": 6.639140204093757e-06, + "loss": 0.7974, + "step": 26352 + }, + { + "epoch": 0.62, + "grad_norm": 1.8283214536926813, + "learning_rate": 6.638421557917898e-06, + "loss": 0.8203, + "step": 26353 + }, + { + "epoch": 0.62, + "grad_norm": 1.6922392477295198, + "learning_rate": 6.637702931314208e-06, + "loss": 0.9031, + "step": 26354 + }, + { + "epoch": 0.62, + "grad_norm": 1.4107702212416386, + "learning_rate": 6.6369843242868795e-06, + "loss": 0.7754, + "step": 26355 + }, + { + "epoch": 0.62, + "grad_norm": 1.6125646040120927, + "learning_rate": 6.63626573684009e-06, + "loss": 0.8695, + "step": 26356 + }, + { + "epoch": 0.62, + "grad_norm": 1.608475664302148, + "learning_rate": 6.635547168978032e-06, + "loss": 0.9292, + "step": 26357 + }, + { + "epoch": 0.62, + "grad_norm": 1.726460239893776, + "learning_rate": 6.6348286207048776e-06, + "loss": 0.7905, + "step": 26358 + }, + { + "epoch": 0.62, + "grad_norm": 1.454638014289824, + "learning_rate": 6.634110092024819e-06, + "loss": 0.916, + "step": 26359 + }, + { + "epoch": 0.62, + "grad_norm": 0.8236549426694835, + "learning_rate": 6.633391582942038e-06, + "loss": 0.7478, + "step": 26360 + }, + { + "epoch": 0.62, + "grad_norm": 1.7766391904446015, + "learning_rate": 6.632673093460715e-06, + "loss": 0.8573, + "step": 26361 + }, + { + "epoch": 0.62, + "grad_norm": 1.5244354544416412, + "learning_rate": 6.631954623585035e-06, + "loss": 0.9534, + "step": 26362 + }, + { + "epoch": 0.62, + "grad_norm": 1.72177177600524, + "learning_rate": 6.631236173319182e-06, + "loss": 0.7781, + "step": 26363 + }, + { + "epoch": 0.62, + "grad_norm": 1.7875832966828464, + "learning_rate": 6.630517742667341e-06, + "loss": 0.8422, + "step": 26364 + }, + { + "epoch": 0.62, + "grad_norm": 1.5658156137101809, + "learning_rate": 6.629799331633691e-06, + "loss": 0.9182, + "step": 26365 + }, + { + "epoch": 0.62, + "grad_norm": 1.7008400659087477, + "learning_rate": 6.629080940222414e-06, + "loss": 0.9533, + "step": 26366 + }, + { + "epoch": 0.62, + "grad_norm": 1.6165967708173912, + "learning_rate": 6.628362568437698e-06, + "loss": 0.7384, + "step": 26367 + }, + { + "epoch": 0.62, + "grad_norm": 1.6299945602177266, + "learning_rate": 6.6276442162837215e-06, + "loss": 0.8333, + "step": 26368 + }, + { + "epoch": 0.62, + "grad_norm": 1.6215695333767381, + "learning_rate": 6.6269258837646675e-06, + "loss": 0.8671, + "step": 26369 + }, + { + "epoch": 0.62, + "grad_norm": 1.6767422257782316, + "learning_rate": 6.626207570884717e-06, + "loss": 0.7741, + "step": 26370 + }, + { + "epoch": 0.62, + "grad_norm": 1.402781978513231, + "learning_rate": 6.625489277648059e-06, + "loss": 0.8041, + "step": 26371 + }, + { + "epoch": 0.62, + "grad_norm": 1.65620268604632, + "learning_rate": 6.624771004058869e-06, + "loss": 0.8856, + "step": 26372 + }, + { + "epoch": 0.62, + "grad_norm": 1.7059962142390652, + "learning_rate": 6.624052750121328e-06, + "loss": 0.8687, + "step": 26373 + }, + { + "epoch": 0.62, + "grad_norm": 1.6498016211384228, + "learning_rate": 6.623334515839627e-06, + "loss": 0.7533, + "step": 26374 + }, + { + "epoch": 0.62, + "grad_norm": 1.7261031090060062, + "learning_rate": 6.6226163012179345e-06, + "loss": 0.9008, + "step": 26375 + }, + { + "epoch": 0.62, + "grad_norm": 1.8754680589190502, + "learning_rate": 6.621898106260443e-06, + "loss": 0.9186, + "step": 26376 + }, + { + "epoch": 0.62, + "grad_norm": 2.026459986891397, + "learning_rate": 6.621179930971327e-06, + "loss": 0.97, + "step": 26377 + }, + { + "epoch": 0.62, + "grad_norm": 1.808381353707772, + "learning_rate": 6.620461775354776e-06, + "loss": 0.8715, + "step": 26378 + }, + { + "epoch": 0.62, + "grad_norm": 1.5037324238694576, + "learning_rate": 6.619743639414961e-06, + "loss": 0.906, + "step": 26379 + }, + { + "epoch": 0.62, + "grad_norm": 1.656813330476001, + "learning_rate": 6.619025523156073e-06, + "loss": 0.8829, + "step": 26380 + }, + { + "epoch": 0.62, + "grad_norm": 1.4504341721699445, + "learning_rate": 6.618307426582289e-06, + "loss": 0.9307, + "step": 26381 + }, + { + "epoch": 0.62, + "grad_norm": 1.5924686140237165, + "learning_rate": 6.617589349697786e-06, + "loss": 0.7383, + "step": 26382 + }, + { + "epoch": 0.62, + "grad_norm": 1.7050521878893452, + "learning_rate": 6.61687129250675e-06, + "loss": 0.9756, + "step": 26383 + }, + { + "epoch": 0.62, + "grad_norm": 1.6400614168002932, + "learning_rate": 6.616153255013363e-06, + "loss": 0.8287, + "step": 26384 + }, + { + "epoch": 0.62, + "grad_norm": 1.6058029246097887, + "learning_rate": 6.6154352372218015e-06, + "loss": 0.9509, + "step": 26385 + }, + { + "epoch": 0.62, + "grad_norm": 6.936952350507676, + "learning_rate": 6.614717239136246e-06, + "loss": 0.7312, + "step": 26386 + }, + { + "epoch": 0.62, + "grad_norm": 1.8622446396813108, + "learning_rate": 6.6139992607608795e-06, + "loss": 0.8179, + "step": 26387 + }, + { + "epoch": 0.62, + "grad_norm": 1.9920252388113342, + "learning_rate": 6.613281302099881e-06, + "loss": 0.8472, + "step": 26388 + }, + { + "epoch": 0.62, + "grad_norm": 1.7958368110577976, + "learning_rate": 6.612563363157434e-06, + "loss": 0.8592, + "step": 26389 + }, + { + "epoch": 0.62, + "grad_norm": 1.5319003943600031, + "learning_rate": 6.61184544393771e-06, + "loss": 1.0003, + "step": 26390 + }, + { + "epoch": 0.62, + "grad_norm": 1.6041095088680692, + "learning_rate": 6.611127544444897e-06, + "loss": 0.8957, + "step": 26391 + }, + { + "epoch": 0.62, + "grad_norm": 1.5095420488881395, + "learning_rate": 6.610409664683176e-06, + "loss": 0.9352, + "step": 26392 + }, + { + "epoch": 0.62, + "grad_norm": 1.5971995629081157, + "learning_rate": 6.609691804656719e-06, + "loss": 0.8004, + "step": 26393 + }, + { + "epoch": 0.62, + "grad_norm": 0.7883954146788288, + "learning_rate": 6.608973964369709e-06, + "loss": 0.7434, + "step": 26394 + }, + { + "epoch": 0.62, + "grad_norm": 1.5845344645467918, + "learning_rate": 6.608256143826328e-06, + "loss": 0.8088, + "step": 26395 + }, + { + "epoch": 0.62, + "grad_norm": 1.6675881995744906, + "learning_rate": 6.607538343030755e-06, + "loss": 0.8925, + "step": 26396 + }, + { + "epoch": 0.62, + "grad_norm": 0.7597009028227827, + "learning_rate": 6.6068205619871664e-06, + "loss": 0.7484, + "step": 26397 + }, + { + "epoch": 0.62, + "grad_norm": 1.6705459775348275, + "learning_rate": 6.606102800699741e-06, + "loss": 0.8381, + "step": 26398 + }, + { + "epoch": 0.62, + "grad_norm": 1.527451104444052, + "learning_rate": 6.605385059172662e-06, + "loss": 0.8307, + "step": 26399 + }, + { + "epoch": 0.62, + "grad_norm": 1.592680020797128, + "learning_rate": 6.6046673374101054e-06, + "loss": 0.7952, + "step": 26400 + }, + { + "epoch": 0.62, + "grad_norm": 0.7547705708648392, + "learning_rate": 6.60394963541625e-06, + "loss": 0.7156, + "step": 26401 + }, + { + "epoch": 0.62, + "grad_norm": 1.434317106603829, + "learning_rate": 6.603231953195272e-06, + "loss": 0.8682, + "step": 26402 + }, + { + "epoch": 0.62, + "grad_norm": 1.6378260762625858, + "learning_rate": 6.6025142907513596e-06, + "loss": 0.7801, + "step": 26403 + }, + { + "epoch": 0.62, + "grad_norm": 1.4842880949819037, + "learning_rate": 6.601796648088681e-06, + "loss": 0.8041, + "step": 26404 + }, + { + "epoch": 0.62, + "grad_norm": 1.6231452956918508, + "learning_rate": 6.601079025211418e-06, + "loss": 0.902, + "step": 26405 + }, + { + "epoch": 0.62, + "grad_norm": 2.5331132433924677, + "learning_rate": 6.600361422123751e-06, + "loss": 0.7723, + "step": 26406 + }, + { + "epoch": 0.62, + "grad_norm": 1.6423984736687254, + "learning_rate": 6.599643838829852e-06, + "loss": 0.7944, + "step": 26407 + }, + { + "epoch": 0.62, + "grad_norm": 1.9648432127878848, + "learning_rate": 6.598926275333906e-06, + "loss": 0.7845, + "step": 26408 + }, + { + "epoch": 0.62, + "grad_norm": 0.7258111047642681, + "learning_rate": 6.598208731640085e-06, + "loss": 0.7271, + "step": 26409 + }, + { + "epoch": 0.62, + "grad_norm": 1.5256521642255687, + "learning_rate": 6.597491207752577e-06, + "loss": 0.9483, + "step": 26410 + }, + { + "epoch": 0.62, + "grad_norm": 1.763143746447505, + "learning_rate": 6.596773703675545e-06, + "loss": 0.7956, + "step": 26411 + }, + { + "epoch": 0.62, + "grad_norm": 1.5281306168483093, + "learning_rate": 6.596056219413176e-06, + "loss": 0.8206, + "step": 26412 + }, + { + "epoch": 0.62, + "grad_norm": 1.584620661740388, + "learning_rate": 6.595338754969649e-06, + "loss": 0.8873, + "step": 26413 + }, + { + "epoch": 0.62, + "grad_norm": 1.6105571837341655, + "learning_rate": 6.594621310349134e-06, + "loss": 0.7648, + "step": 26414 + }, + { + "epoch": 0.62, + "grad_norm": 1.6742135310698028, + "learning_rate": 6.59390388555581e-06, + "loss": 0.7827, + "step": 26415 + }, + { + "epoch": 0.62, + "grad_norm": 2.0739755874522587, + "learning_rate": 6.593186480593858e-06, + "loss": 0.9714, + "step": 26416 + }, + { + "epoch": 0.62, + "grad_norm": 1.6248893905755892, + "learning_rate": 6.592469095467456e-06, + "loss": 0.7856, + "step": 26417 + }, + { + "epoch": 0.62, + "grad_norm": 1.7482748978421463, + "learning_rate": 6.591751730180774e-06, + "loss": 0.8991, + "step": 26418 + }, + { + "epoch": 0.62, + "grad_norm": 1.7994642383619663, + "learning_rate": 6.591034384737992e-06, + "loss": 0.8782, + "step": 26419 + }, + { + "epoch": 0.62, + "grad_norm": 1.9753465149700173, + "learning_rate": 6.5903170591432896e-06, + "loss": 0.9363, + "step": 26420 + }, + { + "epoch": 0.62, + "grad_norm": 1.4481559270826734, + "learning_rate": 6.58959975340084e-06, + "loss": 0.9412, + "step": 26421 + }, + { + "epoch": 0.62, + "grad_norm": 1.5512842704499292, + "learning_rate": 6.588882467514819e-06, + "loss": 0.8403, + "step": 26422 + }, + { + "epoch": 0.62, + "grad_norm": 0.8390307299993874, + "learning_rate": 6.588165201489405e-06, + "loss": 0.7943, + "step": 26423 + }, + { + "epoch": 0.62, + "grad_norm": 2.0564075438622, + "learning_rate": 6.587447955328775e-06, + "loss": 0.9218, + "step": 26424 + }, + { + "epoch": 0.62, + "grad_norm": 1.7300848625551575, + "learning_rate": 6.586730729037102e-06, + "loss": 0.921, + "step": 26425 + }, + { + "epoch": 0.62, + "grad_norm": 0.7694164504741536, + "learning_rate": 6.586013522618562e-06, + "loss": 0.734, + "step": 26426 + }, + { + "epoch": 0.62, + "grad_norm": 1.5675410407332582, + "learning_rate": 6.585296336077337e-06, + "loss": 1.0469, + "step": 26427 + }, + { + "epoch": 0.62, + "grad_norm": 1.502358889925027, + "learning_rate": 6.584579169417592e-06, + "loss": 0.883, + "step": 26428 + }, + { + "epoch": 0.62, + "grad_norm": 1.7118075979665728, + "learning_rate": 6.58386202264351e-06, + "loss": 0.8929, + "step": 26429 + }, + { + "epoch": 0.62, + "grad_norm": 1.6077039818238086, + "learning_rate": 6.583144895759264e-06, + "loss": 0.8662, + "step": 26430 + }, + { + "epoch": 0.62, + "grad_norm": 1.4966212924214846, + "learning_rate": 6.582427788769033e-06, + "loss": 0.7625, + "step": 26431 + }, + { + "epoch": 0.62, + "grad_norm": 1.7508201631993017, + "learning_rate": 6.581710701676989e-06, + "loss": 0.8222, + "step": 26432 + }, + { + "epoch": 0.62, + "grad_norm": 1.6069969594282865, + "learning_rate": 6.580993634487306e-06, + "loss": 0.9624, + "step": 26433 + }, + { + "epoch": 0.62, + "grad_norm": 1.5753187668405195, + "learning_rate": 6.580276587204163e-06, + "loss": 0.8389, + "step": 26434 + }, + { + "epoch": 0.62, + "grad_norm": 2.368830483575791, + "learning_rate": 6.579559559831729e-06, + "loss": 0.8709, + "step": 26435 + }, + { + "epoch": 0.62, + "grad_norm": 1.6192736225032673, + "learning_rate": 6.5788425523741825e-06, + "loss": 0.9317, + "step": 26436 + }, + { + "epoch": 0.62, + "grad_norm": 1.749438119272973, + "learning_rate": 6.578125564835699e-06, + "loss": 0.8884, + "step": 26437 + }, + { + "epoch": 0.62, + "grad_norm": 2.6662699212852883, + "learning_rate": 6.5774085972204535e-06, + "loss": 1.0148, + "step": 26438 + }, + { + "epoch": 0.62, + "grad_norm": 1.632212872281307, + "learning_rate": 6.576691649532615e-06, + "loss": 0.8239, + "step": 26439 + }, + { + "epoch": 0.62, + "grad_norm": 1.6528217525951432, + "learning_rate": 6.575974721776364e-06, + "loss": 0.8412, + "step": 26440 + }, + { + "epoch": 0.62, + "grad_norm": 2.01139357711281, + "learning_rate": 6.575257813955873e-06, + "loss": 0.8428, + "step": 26441 + }, + { + "epoch": 0.62, + "grad_norm": 1.6482436319079976, + "learning_rate": 6.574540926075314e-06, + "loss": 0.8432, + "step": 26442 + }, + { + "epoch": 0.62, + "grad_norm": 1.5163478975199585, + "learning_rate": 6.57382405813886e-06, + "loss": 0.8459, + "step": 26443 + }, + { + "epoch": 0.62, + "grad_norm": 1.5229438594249578, + "learning_rate": 6.573107210150688e-06, + "loss": 0.8785, + "step": 26444 + }, + { + "epoch": 0.62, + "grad_norm": 1.6535358887625282, + "learning_rate": 6.5723903821149746e-06, + "loss": 0.9157, + "step": 26445 + }, + { + "epoch": 0.62, + "grad_norm": 1.6224992726809897, + "learning_rate": 6.5716735740358864e-06, + "loss": 0.8685, + "step": 26446 + }, + { + "epoch": 0.62, + "grad_norm": 1.4932978242813897, + "learning_rate": 6.570956785917599e-06, + "loss": 0.8375, + "step": 26447 + }, + { + "epoch": 0.62, + "grad_norm": 1.6881311041266476, + "learning_rate": 6.57024001776429e-06, + "loss": 0.8729, + "step": 26448 + }, + { + "epoch": 0.62, + "grad_norm": 1.4768090537982168, + "learning_rate": 6.569523269580127e-06, + "loss": 0.941, + "step": 26449 + }, + { + "epoch": 0.62, + "grad_norm": 1.4750800511308095, + "learning_rate": 6.568806541369287e-06, + "loss": 0.836, + "step": 26450 + }, + { + "epoch": 0.62, + "grad_norm": 1.6633395077053017, + "learning_rate": 6.568089833135939e-06, + "loss": 0.9341, + "step": 26451 + }, + { + "epoch": 0.62, + "grad_norm": 1.6439575346989155, + "learning_rate": 6.567373144884262e-06, + "loss": 0.7214, + "step": 26452 + }, + { + "epoch": 0.62, + "grad_norm": 3.182780673866917, + "learning_rate": 6.566656476618424e-06, + "loss": 0.9212, + "step": 26453 + }, + { + "epoch": 0.62, + "grad_norm": 1.5465129019045494, + "learning_rate": 6.565939828342598e-06, + "loss": 0.839, + "step": 26454 + }, + { + "epoch": 0.62, + "grad_norm": 0.8195063142085576, + "learning_rate": 6.565223200060961e-06, + "loss": 0.6797, + "step": 26455 + }, + { + "epoch": 0.62, + "grad_norm": 0.7883046348007958, + "learning_rate": 6.564506591777677e-06, + "loss": 0.722, + "step": 26456 + }, + { + "epoch": 0.62, + "grad_norm": 1.597797921226838, + "learning_rate": 6.563790003496926e-06, + "loss": 0.6938, + "step": 26457 + }, + { + "epoch": 0.62, + "grad_norm": 0.7438701987121709, + "learning_rate": 6.563073435222874e-06, + "loss": 0.7142, + "step": 26458 + }, + { + "epoch": 0.62, + "grad_norm": 1.7669489643597989, + "learning_rate": 6.562356886959704e-06, + "loss": 0.7763, + "step": 26459 + }, + { + "epoch": 0.62, + "grad_norm": 1.7231652461125855, + "learning_rate": 6.561640358711574e-06, + "loss": 0.8366, + "step": 26460 + }, + { + "epoch": 0.62, + "grad_norm": 2.6697731915429004, + "learning_rate": 6.560923850482665e-06, + "loss": 0.7996, + "step": 26461 + }, + { + "epoch": 0.62, + "grad_norm": 1.499987031975584, + "learning_rate": 6.560207362277146e-06, + "loss": 0.7816, + "step": 26462 + }, + { + "epoch": 0.62, + "grad_norm": 1.7389273820069957, + "learning_rate": 6.55949089409919e-06, + "loss": 0.7974, + "step": 26463 + }, + { + "epoch": 0.62, + "grad_norm": 1.582273977660443, + "learning_rate": 6.558774445952962e-06, + "loss": 0.7709, + "step": 26464 + }, + { + "epoch": 0.62, + "grad_norm": 1.676289893743228, + "learning_rate": 6.558058017842643e-06, + "loss": 0.8673, + "step": 26465 + }, + { + "epoch": 0.62, + "grad_norm": 1.8601824342200226, + "learning_rate": 6.5573416097724e-06, + "loss": 0.8897, + "step": 26466 + }, + { + "epoch": 0.62, + "grad_norm": 1.558962762292614, + "learning_rate": 6.5566252217464045e-06, + "loss": 0.8248, + "step": 26467 + }, + { + "epoch": 0.62, + "grad_norm": 1.8491728950009556, + "learning_rate": 6.555908853768824e-06, + "loss": 0.7966, + "step": 26468 + }, + { + "epoch": 0.62, + "grad_norm": 1.577438304750828, + "learning_rate": 6.555192505843836e-06, + "loss": 0.954, + "step": 26469 + }, + { + "epoch": 0.62, + "grad_norm": 1.7321422296874762, + "learning_rate": 6.554476177975606e-06, + "loss": 0.9031, + "step": 26470 + }, + { + "epoch": 0.62, + "grad_norm": 1.8076345882371687, + "learning_rate": 6.553759870168306e-06, + "loss": 0.8977, + "step": 26471 + }, + { + "epoch": 0.62, + "grad_norm": 1.474816665937353, + "learning_rate": 6.553043582426106e-06, + "loss": 0.8034, + "step": 26472 + }, + { + "epoch": 0.62, + "grad_norm": 1.5871677696370714, + "learning_rate": 6.552327314753182e-06, + "loss": 0.7774, + "step": 26473 + }, + { + "epoch": 0.62, + "grad_norm": 1.576835708422886, + "learning_rate": 6.551611067153698e-06, + "loss": 0.8962, + "step": 26474 + }, + { + "epoch": 0.62, + "grad_norm": 1.7366419567961908, + "learning_rate": 6.550894839631823e-06, + "loss": 0.7955, + "step": 26475 + }, + { + "epoch": 0.62, + "grad_norm": 0.7798418041897622, + "learning_rate": 6.550178632191737e-06, + "loss": 0.7146, + "step": 26476 + }, + { + "epoch": 0.62, + "grad_norm": 1.5385355238586993, + "learning_rate": 6.5494624448375964e-06, + "loss": 1.0007, + "step": 26477 + }, + { + "epoch": 0.62, + "grad_norm": 1.557825661253788, + "learning_rate": 6.548746277573581e-06, + "loss": 0.973, + "step": 26478 + }, + { + "epoch": 0.62, + "grad_norm": 1.5347572735943698, + "learning_rate": 6.548030130403854e-06, + "loss": 0.8363, + "step": 26479 + }, + { + "epoch": 0.62, + "grad_norm": 1.7828622482521426, + "learning_rate": 6.5473140033325935e-06, + "loss": 0.7677, + "step": 26480 + }, + { + "epoch": 0.62, + "grad_norm": 1.814850944927068, + "learning_rate": 6.546597896363962e-06, + "loss": 0.8395, + "step": 26481 + }, + { + "epoch": 0.62, + "grad_norm": 1.6766530660589007, + "learning_rate": 6.54588180950213e-06, + "loss": 0.9052, + "step": 26482 + }, + { + "epoch": 0.62, + "grad_norm": 2.3569366178657156, + "learning_rate": 6.545165742751269e-06, + "loss": 0.8289, + "step": 26483 + }, + { + "epoch": 0.62, + "grad_norm": 2.119882338973692, + "learning_rate": 6.544449696115545e-06, + "loss": 0.9677, + "step": 26484 + }, + { + "epoch": 0.62, + "grad_norm": 1.5229987139943608, + "learning_rate": 6.543733669599131e-06, + "loss": 0.8624, + "step": 26485 + }, + { + "epoch": 0.62, + "grad_norm": 0.8041669346050707, + "learning_rate": 6.543017663206192e-06, + "loss": 0.63, + "step": 26486 + }, + { + "epoch": 0.62, + "grad_norm": 1.3421030709747102, + "learning_rate": 6.542301676940901e-06, + "loss": 0.8238, + "step": 26487 + }, + { + "epoch": 0.62, + "grad_norm": 1.570338607358738, + "learning_rate": 6.541585710807421e-06, + "loss": 0.8875, + "step": 26488 + }, + { + "epoch": 0.62, + "grad_norm": 1.8975185250203082, + "learning_rate": 6.540869764809925e-06, + "loss": 1.0295, + "step": 26489 + }, + { + "epoch": 0.62, + "grad_norm": 1.5405306137272428, + "learning_rate": 6.5401538389525835e-06, + "loss": 0.8021, + "step": 26490 + }, + { + "epoch": 0.62, + "grad_norm": 1.7928419393283388, + "learning_rate": 6.539437933239559e-06, + "loss": 0.9308, + "step": 26491 + }, + { + "epoch": 0.62, + "grad_norm": 1.5482329910775336, + "learning_rate": 6.53872204767502e-06, + "loss": 0.7837, + "step": 26492 + }, + { + "epoch": 0.62, + "grad_norm": 1.1380377007658562, + "learning_rate": 6.538006182263139e-06, + "loss": 0.7723, + "step": 26493 + }, + { + "epoch": 0.62, + "grad_norm": 1.4898748739529812, + "learning_rate": 6.537290337008085e-06, + "loss": 0.846, + "step": 26494 + }, + { + "epoch": 0.62, + "grad_norm": 1.8044875593350067, + "learning_rate": 6.536574511914021e-06, + "loss": 0.9156, + "step": 26495 + }, + { + "epoch": 0.62, + "grad_norm": 1.717461683153009, + "learning_rate": 6.535858706985114e-06, + "loss": 0.9261, + "step": 26496 + }, + { + "epoch": 0.62, + "grad_norm": 0.7354972481003085, + "learning_rate": 6.5351429222255394e-06, + "loss": 0.7493, + "step": 26497 + }, + { + "epoch": 0.62, + "grad_norm": 0.7570682121138556, + "learning_rate": 6.5344271576394555e-06, + "loss": 0.7357, + "step": 26498 + }, + { + "epoch": 0.62, + "grad_norm": 1.6085116295049484, + "learning_rate": 6.533711413231036e-06, + "loss": 0.7392, + "step": 26499 + }, + { + "epoch": 0.62, + "grad_norm": 1.671204346569947, + "learning_rate": 6.532995689004444e-06, + "loss": 0.8768, + "step": 26500 + }, + { + "epoch": 0.62, + "grad_norm": 1.363181828047402, + "learning_rate": 6.532279984963852e-06, + "loss": 0.8904, + "step": 26501 + }, + { + "epoch": 0.62, + "grad_norm": 1.5709988376294746, + "learning_rate": 6.531564301113422e-06, + "loss": 0.9376, + "step": 26502 + }, + { + "epoch": 0.62, + "grad_norm": 1.6033114731017306, + "learning_rate": 6.530848637457322e-06, + "loss": 0.8658, + "step": 26503 + }, + { + "epoch": 0.62, + "grad_norm": 1.6108227163482833, + "learning_rate": 6.530132993999723e-06, + "loss": 0.787, + "step": 26504 + }, + { + "epoch": 0.62, + "grad_norm": 1.5596221906316812, + "learning_rate": 6.529417370744783e-06, + "loss": 0.858, + "step": 26505 + }, + { + "epoch": 0.62, + "grad_norm": 1.8114356123772486, + "learning_rate": 6.528701767696676e-06, + "loss": 0.7939, + "step": 26506 + }, + { + "epoch": 0.62, + "grad_norm": 2.0134358688350678, + "learning_rate": 6.527986184859565e-06, + "loss": 0.777, + "step": 26507 + }, + { + "epoch": 0.62, + "grad_norm": 1.9507398278255574, + "learning_rate": 6.527270622237623e-06, + "loss": 0.9498, + "step": 26508 + }, + { + "epoch": 0.62, + "grad_norm": 1.556273643358216, + "learning_rate": 6.526555079835004e-06, + "loss": 0.8882, + "step": 26509 + }, + { + "epoch": 0.62, + "grad_norm": 1.69434473000397, + "learning_rate": 6.525839557655884e-06, + "loss": 0.9076, + "step": 26510 + }, + { + "epoch": 0.62, + "grad_norm": 1.4872332643922703, + "learning_rate": 6.525124055704425e-06, + "loss": 0.9136, + "step": 26511 + }, + { + "epoch": 0.62, + "grad_norm": 1.5465370646942123, + "learning_rate": 6.5244085739848e-06, + "loss": 0.798, + "step": 26512 + }, + { + "epoch": 0.62, + "grad_norm": 2.1940693016338018, + "learning_rate": 6.52369311250116e-06, + "loss": 0.9121, + "step": 26513 + }, + { + "epoch": 0.62, + "grad_norm": 1.751773968930021, + "learning_rate": 6.522977671257683e-06, + "loss": 0.9741, + "step": 26514 + }, + { + "epoch": 0.62, + "grad_norm": 0.7488025114651131, + "learning_rate": 6.522262250258533e-06, + "loss": 0.7279, + "step": 26515 + }, + { + "epoch": 0.62, + "grad_norm": 1.7554853049687835, + "learning_rate": 6.521546849507872e-06, + "loss": 0.9259, + "step": 26516 + }, + { + "epoch": 0.62, + "grad_norm": 1.9926726448543366, + "learning_rate": 6.520831469009863e-06, + "loss": 0.8592, + "step": 26517 + }, + { + "epoch": 0.62, + "grad_norm": 2.0031425699559167, + "learning_rate": 6.520116108768677e-06, + "loss": 0.8261, + "step": 26518 + }, + { + "epoch": 0.62, + "grad_norm": 1.7664803999770042, + "learning_rate": 6.519400768788478e-06, + "loss": 0.8126, + "step": 26519 + }, + { + "epoch": 0.62, + "grad_norm": 1.8156489144788666, + "learning_rate": 6.518685449073427e-06, + "loss": 0.84, + "step": 26520 + }, + { + "epoch": 0.62, + "grad_norm": 1.6499471269924124, + "learning_rate": 6.517970149627692e-06, + "loss": 0.7745, + "step": 26521 + }, + { + "epoch": 0.62, + "grad_norm": 2.699075137769631, + "learning_rate": 6.5172548704554405e-06, + "loss": 0.8134, + "step": 26522 + }, + { + "epoch": 0.62, + "grad_norm": 2.4113907142575566, + "learning_rate": 6.5165396115608315e-06, + "loss": 0.6942, + "step": 26523 + }, + { + "epoch": 0.62, + "grad_norm": 1.8559341869118786, + "learning_rate": 6.51582437294803e-06, + "loss": 0.689, + "step": 26524 + }, + { + "epoch": 0.62, + "grad_norm": 1.6056486553982874, + "learning_rate": 6.5151091546212034e-06, + "loss": 0.9199, + "step": 26525 + }, + { + "epoch": 0.62, + "grad_norm": 1.907856655793657, + "learning_rate": 6.5143939565845175e-06, + "loss": 0.8427, + "step": 26526 + }, + { + "epoch": 0.62, + "grad_norm": 0.786897329480874, + "learning_rate": 6.513678778842129e-06, + "loss": 0.7286, + "step": 26527 + }, + { + "epoch": 0.62, + "grad_norm": 1.497499802729416, + "learning_rate": 6.512963621398207e-06, + "loss": 0.7487, + "step": 26528 + }, + { + "epoch": 0.63, + "grad_norm": 0.7391195817987288, + "learning_rate": 6.512248484256918e-06, + "loss": 0.6964, + "step": 26529 + }, + { + "epoch": 0.63, + "grad_norm": 1.572220570536254, + "learning_rate": 6.51153336742242e-06, + "loss": 0.8108, + "step": 26530 + }, + { + "epoch": 0.63, + "grad_norm": 1.6193205951773766, + "learning_rate": 6.51081827089888e-06, + "loss": 0.8321, + "step": 26531 + }, + { + "epoch": 0.63, + "grad_norm": 1.5581800994681871, + "learning_rate": 6.510103194690459e-06, + "loss": 0.9548, + "step": 26532 + }, + { + "epoch": 0.63, + "grad_norm": 1.7948334636332868, + "learning_rate": 6.509388138801326e-06, + "loss": 0.8842, + "step": 26533 + }, + { + "epoch": 0.63, + "grad_norm": 1.4924670080986195, + "learning_rate": 6.508673103235637e-06, + "loss": 0.9295, + "step": 26534 + }, + { + "epoch": 0.63, + "grad_norm": 1.644499539598518, + "learning_rate": 6.507958087997559e-06, + "loss": 0.9612, + "step": 26535 + }, + { + "epoch": 0.63, + "grad_norm": 1.6572684073475963, + "learning_rate": 6.507243093091258e-06, + "loss": 0.757, + "step": 26536 + }, + { + "epoch": 0.63, + "grad_norm": 1.5756357224768074, + "learning_rate": 6.506528118520888e-06, + "loss": 0.9722, + "step": 26537 + }, + { + "epoch": 0.63, + "grad_norm": 2.9799140710924834, + "learning_rate": 6.50581316429062e-06, + "loss": 0.891, + "step": 26538 + }, + { + "epoch": 0.63, + "grad_norm": 0.8008953818538439, + "learning_rate": 6.505098230404614e-06, + "loss": 0.7865, + "step": 26539 + }, + { + "epoch": 0.63, + "grad_norm": 1.9261878371894878, + "learning_rate": 6.504383316867035e-06, + "loss": 0.8942, + "step": 26540 + }, + { + "epoch": 0.63, + "grad_norm": 1.5852296301097653, + "learning_rate": 6.503668423682037e-06, + "loss": 0.7073, + "step": 26541 + }, + { + "epoch": 0.63, + "grad_norm": 1.7822045799264863, + "learning_rate": 6.502953550853792e-06, + "loss": 0.8315, + "step": 26542 + }, + { + "epoch": 0.63, + "grad_norm": 1.5104048198288107, + "learning_rate": 6.50223869838646e-06, + "loss": 0.8411, + "step": 26543 + }, + { + "epoch": 0.63, + "grad_norm": 1.9982070105610963, + "learning_rate": 6.501523866284201e-06, + "loss": 0.8796, + "step": 26544 + }, + { + "epoch": 0.63, + "grad_norm": 1.7427700023566235, + "learning_rate": 6.500809054551173e-06, + "loss": 0.8021, + "step": 26545 + }, + { + "epoch": 0.63, + "grad_norm": 1.5219952888086417, + "learning_rate": 6.500094263191548e-06, + "loss": 0.8079, + "step": 26546 + }, + { + "epoch": 0.63, + "grad_norm": 1.4698616703957854, + "learning_rate": 6.499379492209481e-06, + "loss": 1.0378, + "step": 26547 + }, + { + "epoch": 0.63, + "grad_norm": 0.7789371799877377, + "learning_rate": 6.498664741609135e-06, + "loss": 0.7777, + "step": 26548 + }, + { + "epoch": 0.63, + "grad_norm": 1.8490801774709191, + "learning_rate": 6.497950011394669e-06, + "loss": 0.9037, + "step": 26549 + }, + { + "epoch": 0.63, + "grad_norm": 1.6635709641967527, + "learning_rate": 6.497235301570251e-06, + "loss": 0.8243, + "step": 26550 + }, + { + "epoch": 0.63, + "grad_norm": 2.4584206427244286, + "learning_rate": 6.496520612140033e-06, + "loss": 0.7499, + "step": 26551 + }, + { + "epoch": 0.63, + "grad_norm": 0.7033066101111289, + "learning_rate": 6.4958059431081845e-06, + "loss": 0.7198, + "step": 26552 + }, + { + "epoch": 0.63, + "grad_norm": 1.769071217901533, + "learning_rate": 6.4950912944788614e-06, + "loss": 0.866, + "step": 26553 + }, + { + "epoch": 0.63, + "grad_norm": 1.634849737754667, + "learning_rate": 6.494376666256229e-06, + "loss": 0.8755, + "step": 26554 + }, + { + "epoch": 0.63, + "grad_norm": 1.6736643694681421, + "learning_rate": 6.493662058444443e-06, + "loss": 0.7833, + "step": 26555 + }, + { + "epoch": 0.63, + "grad_norm": 1.428907773148795, + "learning_rate": 6.492947471047666e-06, + "loss": 0.8336, + "step": 26556 + }, + { + "epoch": 0.63, + "grad_norm": 1.45611359989288, + "learning_rate": 6.492232904070065e-06, + "loss": 0.8074, + "step": 26557 + }, + { + "epoch": 0.63, + "grad_norm": 1.6200857015703818, + "learning_rate": 6.491518357515788e-06, + "loss": 0.9381, + "step": 26558 + }, + { + "epoch": 0.63, + "grad_norm": 1.7498084462317922, + "learning_rate": 6.490803831389003e-06, + "loss": 0.8302, + "step": 26559 + }, + { + "epoch": 0.63, + "grad_norm": 1.6525126849348013, + "learning_rate": 6.490089325693869e-06, + "loss": 0.872, + "step": 26560 + }, + { + "epoch": 0.63, + "grad_norm": 1.6743885798179927, + "learning_rate": 6.489374840434551e-06, + "loss": 0.8601, + "step": 26561 + }, + { + "epoch": 0.63, + "grad_norm": 1.4487381781995539, + "learning_rate": 6.4886603756151985e-06, + "loss": 0.8068, + "step": 26562 + }, + { + "epoch": 0.63, + "grad_norm": 2.1029565843870217, + "learning_rate": 6.487945931239978e-06, + "loss": 0.8413, + "step": 26563 + }, + { + "epoch": 0.63, + "grad_norm": 1.6134296947441131, + "learning_rate": 6.487231507313052e-06, + "loss": 0.7648, + "step": 26564 + }, + { + "epoch": 0.63, + "grad_norm": 1.4799550725484663, + "learning_rate": 6.486517103838574e-06, + "loss": 0.8791, + "step": 26565 + }, + { + "epoch": 0.63, + "grad_norm": 1.6339987592566436, + "learning_rate": 6.485802720820702e-06, + "loss": 1.0307, + "step": 26566 + }, + { + "epoch": 0.63, + "grad_norm": 1.6791788736151074, + "learning_rate": 6.485088358263603e-06, + "loss": 0.8681, + "step": 26567 + }, + { + "epoch": 0.63, + "grad_norm": 1.643790323592242, + "learning_rate": 6.4843740161714334e-06, + "loss": 0.8724, + "step": 26568 + }, + { + "epoch": 0.63, + "grad_norm": 2.2250972384288565, + "learning_rate": 6.483659694548348e-06, + "loss": 0.7781, + "step": 26569 + }, + { + "epoch": 0.63, + "grad_norm": 1.5491464267200328, + "learning_rate": 6.4829453933985096e-06, + "loss": 0.8692, + "step": 26570 + }, + { + "epoch": 0.63, + "grad_norm": 1.6606142349018687, + "learning_rate": 6.482231112726081e-06, + "loss": 0.798, + "step": 26571 + }, + { + "epoch": 0.63, + "grad_norm": 1.4956867166448156, + "learning_rate": 6.4815168525352124e-06, + "loss": 0.8177, + "step": 26572 + }, + { + "epoch": 0.63, + "grad_norm": 1.843638564454651, + "learning_rate": 6.4808026128300665e-06, + "loss": 0.8856, + "step": 26573 + }, + { + "epoch": 0.63, + "grad_norm": 1.6576247014494228, + "learning_rate": 6.480088393614802e-06, + "loss": 0.7732, + "step": 26574 + }, + { + "epoch": 0.63, + "grad_norm": 1.8052740512375025, + "learning_rate": 6.4793741948935795e-06, + "loss": 0.7605, + "step": 26575 + }, + { + "epoch": 0.63, + "grad_norm": 1.6016909427500063, + "learning_rate": 6.478660016670555e-06, + "loss": 0.839, + "step": 26576 + }, + { + "epoch": 0.63, + "grad_norm": 1.6110790669075261, + "learning_rate": 6.4779458589498835e-06, + "loss": 0.8504, + "step": 26577 + }, + { + "epoch": 0.63, + "grad_norm": 1.8651113033416826, + "learning_rate": 6.477231721735729e-06, + "loss": 0.8526, + "step": 26578 + }, + { + "epoch": 0.63, + "grad_norm": 1.7086260110596285, + "learning_rate": 6.4765176050322465e-06, + "loss": 0.8638, + "step": 26579 + }, + { + "epoch": 0.63, + "grad_norm": 1.6169785893591075, + "learning_rate": 6.4758035088435935e-06, + "loss": 0.8105, + "step": 26580 + }, + { + "epoch": 0.63, + "grad_norm": 1.6228250927509005, + "learning_rate": 6.475089433173926e-06, + "loss": 0.7119, + "step": 26581 + }, + { + "epoch": 0.63, + "grad_norm": 0.7691880314872612, + "learning_rate": 6.474375378027408e-06, + "loss": 0.6832, + "step": 26582 + }, + { + "epoch": 0.63, + "grad_norm": 1.694480399705279, + "learning_rate": 6.473661343408191e-06, + "loss": 0.7576, + "step": 26583 + }, + { + "epoch": 0.63, + "grad_norm": 1.6027076050390079, + "learning_rate": 6.472947329320434e-06, + "loss": 0.8988, + "step": 26584 + }, + { + "epoch": 0.63, + "grad_norm": 1.4010969276040957, + "learning_rate": 6.472233335768295e-06, + "loss": 0.8896, + "step": 26585 + }, + { + "epoch": 0.63, + "grad_norm": 1.5502620182927738, + "learning_rate": 6.471519362755927e-06, + "loss": 0.8428, + "step": 26586 + }, + { + "epoch": 0.63, + "grad_norm": 0.6979881495984599, + "learning_rate": 6.470805410287493e-06, + "loss": 0.5995, + "step": 26587 + }, + { + "epoch": 0.63, + "grad_norm": 2.0475453756338258, + "learning_rate": 6.470091478367147e-06, + "loss": 0.7754, + "step": 26588 + }, + { + "epoch": 0.63, + "grad_norm": 1.5679610849739234, + "learning_rate": 6.469377566999049e-06, + "loss": 0.8641, + "step": 26589 + }, + { + "epoch": 0.63, + "grad_norm": 1.4439855706186298, + "learning_rate": 6.468663676187346e-06, + "loss": 0.8673, + "step": 26590 + }, + { + "epoch": 0.63, + "grad_norm": 1.560100624028711, + "learning_rate": 6.467949805936206e-06, + "loss": 0.8949, + "step": 26591 + }, + { + "epoch": 0.63, + "grad_norm": 2.0070500779209617, + "learning_rate": 6.46723595624978e-06, + "loss": 0.8069, + "step": 26592 + }, + { + "epoch": 0.63, + "grad_norm": 0.8140648552545394, + "learning_rate": 6.4665221271322245e-06, + "loss": 0.7231, + "step": 26593 + }, + { + "epoch": 0.63, + "grad_norm": 1.7286523100520237, + "learning_rate": 6.465808318587693e-06, + "loss": 0.8968, + "step": 26594 + }, + { + "epoch": 0.63, + "grad_norm": 1.7360011946088247, + "learning_rate": 6.465094530620346e-06, + "loss": 0.8541, + "step": 26595 + }, + { + "epoch": 0.63, + "grad_norm": 1.5557193302899355, + "learning_rate": 6.464380763234341e-06, + "loss": 0.9252, + "step": 26596 + }, + { + "epoch": 0.63, + "grad_norm": 1.5192245176916603, + "learning_rate": 6.463667016433828e-06, + "loss": 0.8637, + "step": 26597 + }, + { + "epoch": 0.63, + "grad_norm": 2.0135448071416913, + "learning_rate": 6.462953290222963e-06, + "loss": 0.84, + "step": 26598 + }, + { + "epoch": 0.63, + "grad_norm": 1.6755141298768481, + "learning_rate": 6.462239584605907e-06, + "loss": 0.865, + "step": 26599 + }, + { + "epoch": 0.63, + "grad_norm": 2.3333270501765266, + "learning_rate": 6.461525899586812e-06, + "loss": 0.875, + "step": 26600 + }, + { + "epoch": 0.63, + "grad_norm": 1.8565429138727167, + "learning_rate": 6.460812235169832e-06, + "loss": 0.9446, + "step": 26601 + }, + { + "epoch": 0.63, + "grad_norm": 0.7460006839083768, + "learning_rate": 6.460098591359123e-06, + "loss": 0.6934, + "step": 26602 + }, + { + "epoch": 0.63, + "grad_norm": 2.001910084285013, + "learning_rate": 6.459384968158844e-06, + "loss": 0.8402, + "step": 26603 + }, + { + "epoch": 0.63, + "grad_norm": 1.5443365896562395, + "learning_rate": 6.458671365573144e-06, + "loss": 0.8902, + "step": 26604 + }, + { + "epoch": 0.63, + "grad_norm": 1.5937180878394424, + "learning_rate": 6.457957783606179e-06, + "loss": 0.8793, + "step": 26605 + }, + { + "epoch": 0.63, + "grad_norm": 1.584506207505449, + "learning_rate": 6.457244222262111e-06, + "loss": 0.8324, + "step": 26606 + }, + { + "epoch": 0.63, + "grad_norm": 1.5324695836739661, + "learning_rate": 6.456530681545083e-06, + "loss": 0.8901, + "step": 26607 + }, + { + "epoch": 0.63, + "grad_norm": 1.8804696145822601, + "learning_rate": 6.455817161459257e-06, + "loss": 0.8176, + "step": 26608 + }, + { + "epoch": 0.63, + "grad_norm": 1.7499330808319675, + "learning_rate": 6.455103662008784e-06, + "loss": 0.806, + "step": 26609 + }, + { + "epoch": 0.63, + "grad_norm": 1.6024813699769156, + "learning_rate": 6.4543901831978254e-06, + "loss": 0.9333, + "step": 26610 + }, + { + "epoch": 0.63, + "grad_norm": 0.8190194327513781, + "learning_rate": 6.453676725030524e-06, + "loss": 0.8047, + "step": 26611 + }, + { + "epoch": 0.63, + "grad_norm": 1.4703407420167542, + "learning_rate": 6.452963287511041e-06, + "loss": 0.8568, + "step": 26612 + }, + { + "epoch": 0.63, + "grad_norm": 1.8953253256464764, + "learning_rate": 6.452249870643531e-06, + "loss": 0.8478, + "step": 26613 + }, + { + "epoch": 0.63, + "grad_norm": 1.440942545488605, + "learning_rate": 6.451536474432143e-06, + "loss": 0.7566, + "step": 26614 + }, + { + "epoch": 0.63, + "grad_norm": 1.6183287957055168, + "learning_rate": 6.450823098881032e-06, + "loss": 0.8281, + "step": 26615 + }, + { + "epoch": 0.63, + "grad_norm": 1.5263349284046095, + "learning_rate": 6.450109743994353e-06, + "loss": 0.7116, + "step": 26616 + }, + { + "epoch": 0.63, + "grad_norm": 0.7598902028973121, + "learning_rate": 6.449396409776263e-06, + "loss": 0.7667, + "step": 26617 + }, + { + "epoch": 0.63, + "grad_norm": 1.6835085146870257, + "learning_rate": 6.448683096230906e-06, + "loss": 0.8782, + "step": 26618 + }, + { + "epoch": 0.63, + "grad_norm": 1.7828592076355698, + "learning_rate": 6.447969803362442e-06, + "loss": 0.8185, + "step": 26619 + }, + { + "epoch": 0.63, + "grad_norm": 2.1747499823407868, + "learning_rate": 6.447256531175026e-06, + "loss": 0.7806, + "step": 26620 + }, + { + "epoch": 0.63, + "grad_norm": 1.77751317320396, + "learning_rate": 6.446543279672803e-06, + "loss": 0.9346, + "step": 26621 + }, + { + "epoch": 0.63, + "grad_norm": 1.5395617691087113, + "learning_rate": 6.445830048859929e-06, + "loss": 0.9728, + "step": 26622 + }, + { + "epoch": 0.63, + "grad_norm": 1.5665864375206127, + "learning_rate": 6.445116838740559e-06, + "loss": 0.9559, + "step": 26623 + }, + { + "epoch": 0.63, + "grad_norm": 1.608702486832898, + "learning_rate": 6.444403649318849e-06, + "loss": 0.7296, + "step": 26624 + }, + { + "epoch": 0.63, + "grad_norm": 1.710041072024793, + "learning_rate": 6.443690480598942e-06, + "loss": 0.7857, + "step": 26625 + }, + { + "epoch": 0.63, + "grad_norm": 1.4037495663920982, + "learning_rate": 6.4429773325849935e-06, + "loss": 0.7718, + "step": 26626 + }, + { + "epoch": 0.63, + "grad_norm": 1.58475434129591, + "learning_rate": 6.442264205281161e-06, + "loss": 0.801, + "step": 26627 + }, + { + "epoch": 0.63, + "grad_norm": 1.5418987236784993, + "learning_rate": 6.441551098691591e-06, + "loss": 0.7447, + "step": 26628 + }, + { + "epoch": 0.63, + "grad_norm": 1.8586764482399507, + "learning_rate": 6.440838012820437e-06, + "loss": 0.7617, + "step": 26629 + }, + { + "epoch": 0.63, + "grad_norm": 1.5081198050953144, + "learning_rate": 6.440124947671848e-06, + "loss": 0.8008, + "step": 26630 + }, + { + "epoch": 0.63, + "grad_norm": 1.8585245732167446, + "learning_rate": 6.439411903249983e-06, + "loss": 0.8282, + "step": 26631 + }, + { + "epoch": 0.63, + "grad_norm": 1.622098987606935, + "learning_rate": 6.438698879558989e-06, + "loss": 0.8834, + "step": 26632 + }, + { + "epoch": 0.63, + "grad_norm": 0.7358478104589479, + "learning_rate": 6.437985876603017e-06, + "loss": 0.6855, + "step": 26633 + }, + { + "epoch": 0.63, + "grad_norm": 1.604078829988128, + "learning_rate": 6.437272894386219e-06, + "loss": 0.8933, + "step": 26634 + }, + { + "epoch": 0.63, + "grad_norm": 1.4769966377036987, + "learning_rate": 6.4365599329127435e-06, + "loss": 0.8071, + "step": 26635 + }, + { + "epoch": 0.63, + "grad_norm": 1.7126309274155864, + "learning_rate": 6.435846992186746e-06, + "loss": 0.8955, + "step": 26636 + }, + { + "epoch": 0.63, + "grad_norm": 1.7023073847918222, + "learning_rate": 6.435134072212377e-06, + "loss": 0.7143, + "step": 26637 + }, + { + "epoch": 0.63, + "grad_norm": 1.7788854910129737, + "learning_rate": 6.4344211729937855e-06, + "loss": 0.8133, + "step": 26638 + }, + { + "epoch": 0.63, + "grad_norm": 1.377552098149914, + "learning_rate": 6.43370829453512e-06, + "loss": 0.8554, + "step": 26639 + }, + { + "epoch": 0.63, + "grad_norm": 2.8070062446448456, + "learning_rate": 6.432995436840537e-06, + "loss": 0.908, + "step": 26640 + }, + { + "epoch": 0.63, + "grad_norm": 1.6867445250925044, + "learning_rate": 6.43228259991418e-06, + "loss": 0.8769, + "step": 26641 + }, + { + "epoch": 0.63, + "grad_norm": 1.6479194966390969, + "learning_rate": 6.43156978376021e-06, + "loss": 0.877, + "step": 26642 + }, + { + "epoch": 0.63, + "grad_norm": 1.5850225690835926, + "learning_rate": 6.430856988382766e-06, + "loss": 0.8923, + "step": 26643 + }, + { + "epoch": 0.63, + "grad_norm": 3.161432571737168, + "learning_rate": 6.430144213786002e-06, + "loss": 0.8492, + "step": 26644 + }, + { + "epoch": 0.63, + "grad_norm": 1.7598582187269607, + "learning_rate": 6.4294314599740715e-06, + "loss": 0.8762, + "step": 26645 + }, + { + "epoch": 0.63, + "grad_norm": 0.7502260737799412, + "learning_rate": 6.42871872695112e-06, + "loss": 0.7351, + "step": 26646 + }, + { + "epoch": 0.63, + "grad_norm": 1.6337411156669965, + "learning_rate": 6.428006014721295e-06, + "loss": 0.9236, + "step": 26647 + }, + { + "epoch": 0.63, + "grad_norm": 1.7843087507688826, + "learning_rate": 6.427293323288754e-06, + "loss": 0.711, + "step": 26648 + }, + { + "epoch": 0.63, + "grad_norm": 1.6765527008406924, + "learning_rate": 6.426580652657643e-06, + "loss": 0.9135, + "step": 26649 + }, + { + "epoch": 0.63, + "grad_norm": 1.768605014069436, + "learning_rate": 6.4258680028321094e-06, + "loss": 0.8253, + "step": 26650 + }, + { + "epoch": 0.63, + "grad_norm": 1.8933352349194748, + "learning_rate": 6.425155373816303e-06, + "loss": 0.8498, + "step": 26651 + }, + { + "epoch": 0.63, + "grad_norm": 1.5642330334316406, + "learning_rate": 6.424442765614376e-06, + "loss": 0.8395, + "step": 26652 + }, + { + "epoch": 0.63, + "grad_norm": 0.7589813777340261, + "learning_rate": 6.423730178230474e-06, + "loss": 0.7182, + "step": 26653 + }, + { + "epoch": 0.63, + "grad_norm": 1.9092164565043301, + "learning_rate": 6.423017611668745e-06, + "loss": 0.8897, + "step": 26654 + }, + { + "epoch": 0.63, + "grad_norm": 1.7498057777982812, + "learning_rate": 6.422305065933342e-06, + "loss": 0.9457, + "step": 26655 + }, + { + "epoch": 0.63, + "grad_norm": 1.479609456132025, + "learning_rate": 6.421592541028414e-06, + "loss": 0.8807, + "step": 26656 + }, + { + "epoch": 0.63, + "grad_norm": 1.482480460574859, + "learning_rate": 6.420880036958103e-06, + "loss": 0.9048, + "step": 26657 + }, + { + "epoch": 0.63, + "grad_norm": 2.945557913540827, + "learning_rate": 6.4201675537265615e-06, + "loss": 0.9796, + "step": 26658 + }, + { + "epoch": 0.63, + "grad_norm": 1.57786293752238, + "learning_rate": 6.419455091337944e-06, + "loss": 0.8489, + "step": 26659 + }, + { + "epoch": 0.63, + "grad_norm": 1.7805859196478708, + "learning_rate": 6.4187426497963855e-06, + "loss": 1.0315, + "step": 26660 + }, + { + "epoch": 0.63, + "grad_norm": 1.5236560570575863, + "learning_rate": 6.418030229106045e-06, + "loss": 0.866, + "step": 26661 + }, + { + "epoch": 0.63, + "grad_norm": 1.5061769805724887, + "learning_rate": 6.417317829271062e-06, + "loss": 0.7693, + "step": 26662 + }, + { + "epoch": 0.63, + "grad_norm": 1.6202347547433633, + "learning_rate": 6.4166054502955965e-06, + "loss": 0.9297, + "step": 26663 + }, + { + "epoch": 0.63, + "grad_norm": 1.6417546578338484, + "learning_rate": 6.415893092183782e-06, + "loss": 0.7934, + "step": 26664 + }, + { + "epoch": 0.63, + "grad_norm": 0.7633056082039951, + "learning_rate": 6.415180754939775e-06, + "loss": 0.6605, + "step": 26665 + }, + { + "epoch": 0.63, + "grad_norm": 0.8121834359116289, + "learning_rate": 6.414468438567722e-06, + "loss": 0.7106, + "step": 26666 + }, + { + "epoch": 0.63, + "grad_norm": 1.720147702637674, + "learning_rate": 6.413756143071765e-06, + "loss": 0.7983, + "step": 26667 + }, + { + "epoch": 0.63, + "grad_norm": 1.5711718469090843, + "learning_rate": 6.413043868456057e-06, + "loss": 0.8366, + "step": 26668 + }, + { + "epoch": 0.63, + "grad_norm": 1.8168982166265977, + "learning_rate": 6.4123316147247435e-06, + "loss": 0.8236, + "step": 26669 + }, + { + "epoch": 0.63, + "grad_norm": 1.6467279289101757, + "learning_rate": 6.4116193818819735e-06, + "loss": 0.8722, + "step": 26670 + }, + { + "epoch": 0.63, + "grad_norm": 1.9427128263811249, + "learning_rate": 6.410907169931888e-06, + "loss": 0.8402, + "step": 26671 + }, + { + "epoch": 0.63, + "grad_norm": 0.7581467510805914, + "learning_rate": 6.410194978878638e-06, + "loss": 0.7249, + "step": 26672 + }, + { + "epoch": 0.63, + "grad_norm": 1.6853901544983356, + "learning_rate": 6.409482808726372e-06, + "loss": 0.7978, + "step": 26673 + }, + { + "epoch": 0.63, + "grad_norm": 2.1608023271618455, + "learning_rate": 6.408770659479231e-06, + "loss": 0.772, + "step": 26674 + }, + { + "epoch": 0.63, + "grad_norm": 1.4403077075517556, + "learning_rate": 6.408058531141363e-06, + "loss": 0.8365, + "step": 26675 + }, + { + "epoch": 0.63, + "grad_norm": 1.7036884320464618, + "learning_rate": 6.407346423716918e-06, + "loss": 0.8199, + "step": 26676 + }, + { + "epoch": 0.63, + "grad_norm": 0.7373693333242077, + "learning_rate": 6.406634337210041e-06, + "loss": 0.7617, + "step": 26677 + }, + { + "epoch": 0.63, + "grad_norm": 1.5118671977437554, + "learning_rate": 6.405922271624874e-06, + "loss": 0.9681, + "step": 26678 + }, + { + "epoch": 0.63, + "grad_norm": 0.747824009680792, + "learning_rate": 6.405210226965564e-06, + "loss": 0.7685, + "step": 26679 + }, + { + "epoch": 0.63, + "grad_norm": 1.9696528199197816, + "learning_rate": 6.404498203236261e-06, + "loss": 0.9212, + "step": 26680 + }, + { + "epoch": 0.63, + "grad_norm": 1.4323889613994532, + "learning_rate": 6.403786200441106e-06, + "loss": 0.806, + "step": 26681 + }, + { + "epoch": 0.63, + "grad_norm": 0.7986783461273366, + "learning_rate": 6.403074218584248e-06, + "loss": 0.7473, + "step": 26682 + }, + { + "epoch": 0.63, + "grad_norm": 1.9071231673685773, + "learning_rate": 6.402362257669827e-06, + "loss": 0.7647, + "step": 26683 + }, + { + "epoch": 0.63, + "grad_norm": 1.639255762667785, + "learning_rate": 6.401650317701997e-06, + "loss": 0.8758, + "step": 26684 + }, + { + "epoch": 0.63, + "grad_norm": 1.8543701904504784, + "learning_rate": 6.400938398684895e-06, + "loss": 0.8804, + "step": 26685 + }, + { + "epoch": 0.63, + "grad_norm": 1.8259348016917845, + "learning_rate": 6.40022650062267e-06, + "loss": 0.86, + "step": 26686 + }, + { + "epoch": 0.63, + "grad_norm": 1.6953162319470785, + "learning_rate": 6.399514623519467e-06, + "loss": 0.9234, + "step": 26687 + }, + { + "epoch": 0.63, + "grad_norm": 1.7749751997257914, + "learning_rate": 6.398802767379426e-06, + "loss": 0.9295, + "step": 26688 + }, + { + "epoch": 0.63, + "grad_norm": 1.7198347241822591, + "learning_rate": 6.398090932206698e-06, + "loss": 0.9046, + "step": 26689 + }, + { + "epoch": 0.63, + "grad_norm": 1.4235140977008653, + "learning_rate": 6.397379118005423e-06, + "loss": 0.9278, + "step": 26690 + }, + { + "epoch": 0.63, + "grad_norm": 1.4061638686919664, + "learning_rate": 6.396667324779754e-06, + "loss": 0.7765, + "step": 26691 + }, + { + "epoch": 0.63, + "grad_norm": 2.0562499767560003, + "learning_rate": 6.395955552533821e-06, + "loss": 0.9, + "step": 26692 + }, + { + "epoch": 0.63, + "grad_norm": 2.161010704073927, + "learning_rate": 6.395243801271779e-06, + "loss": 0.7962, + "step": 26693 + }, + { + "epoch": 0.63, + "grad_norm": 1.5972682399304456, + "learning_rate": 6.39453207099777e-06, + "loss": 0.8365, + "step": 26694 + }, + { + "epoch": 0.63, + "grad_norm": 1.7226723086632847, + "learning_rate": 6.393820361715935e-06, + "loss": 0.9261, + "step": 26695 + }, + { + "epoch": 0.63, + "grad_norm": 1.4664908110951338, + "learning_rate": 6.393108673430418e-06, + "loss": 1.0196, + "step": 26696 + }, + { + "epoch": 0.63, + "grad_norm": 1.533107149235577, + "learning_rate": 6.392397006145366e-06, + "loss": 0.7245, + "step": 26697 + }, + { + "epoch": 0.63, + "grad_norm": 1.6599725945650605, + "learning_rate": 6.391685359864923e-06, + "loss": 0.8325, + "step": 26698 + }, + { + "epoch": 0.63, + "grad_norm": 1.636390436986459, + "learning_rate": 6.390973734593227e-06, + "loss": 0.8477, + "step": 26699 + }, + { + "epoch": 0.63, + "grad_norm": 1.6178873018947095, + "learning_rate": 6.390262130334424e-06, + "loss": 0.8664, + "step": 26700 + }, + { + "epoch": 0.63, + "grad_norm": 1.5563627135595979, + "learning_rate": 6.389550547092661e-06, + "loss": 0.9435, + "step": 26701 + }, + { + "epoch": 0.63, + "grad_norm": 1.5063659438873305, + "learning_rate": 6.388838984872077e-06, + "loss": 0.736, + "step": 26702 + }, + { + "epoch": 0.63, + "grad_norm": 1.5008691775172454, + "learning_rate": 6.388127443676811e-06, + "loss": 0.8278, + "step": 26703 + }, + { + "epoch": 0.63, + "grad_norm": 1.4612167998316845, + "learning_rate": 6.3874159235110144e-06, + "loss": 0.7097, + "step": 26704 + }, + { + "epoch": 0.63, + "grad_norm": 1.5477689068330167, + "learning_rate": 6.386704424378828e-06, + "loss": 0.878, + "step": 26705 + }, + { + "epoch": 0.63, + "grad_norm": 1.5489799973857679, + "learning_rate": 6.38599294628439e-06, + "loss": 0.7661, + "step": 26706 + }, + { + "epoch": 0.63, + "grad_norm": 1.9919588334667393, + "learning_rate": 6.385281489231843e-06, + "loss": 0.8592, + "step": 26707 + }, + { + "epoch": 0.63, + "grad_norm": 1.5447960170019672, + "learning_rate": 6.384570053225338e-06, + "loss": 0.6839, + "step": 26708 + }, + { + "epoch": 0.63, + "grad_norm": 1.5745639995000684, + "learning_rate": 6.383858638269005e-06, + "loss": 0.8768, + "step": 26709 + }, + { + "epoch": 0.63, + "grad_norm": 1.4214356097912626, + "learning_rate": 6.383147244366994e-06, + "loss": 0.8605, + "step": 26710 + }, + { + "epoch": 0.63, + "grad_norm": 1.7921474892151974, + "learning_rate": 6.382435871523442e-06, + "loss": 0.8264, + "step": 26711 + }, + { + "epoch": 0.63, + "grad_norm": 1.5643523236010979, + "learning_rate": 6.3817245197425005e-06, + "loss": 0.83, + "step": 26712 + }, + { + "epoch": 0.63, + "grad_norm": 2.220003881078588, + "learning_rate": 6.3810131890282975e-06, + "loss": 1.0772, + "step": 26713 + }, + { + "epoch": 0.63, + "grad_norm": 1.5042754127938127, + "learning_rate": 6.3803018793849835e-06, + "loss": 0.8182, + "step": 26714 + }, + { + "epoch": 0.63, + "grad_norm": 1.6142499248354627, + "learning_rate": 6.3795905908167e-06, + "loss": 0.9163, + "step": 26715 + }, + { + "epoch": 0.63, + "grad_norm": 1.6785767191699144, + "learning_rate": 6.378879323327583e-06, + "loss": 0.9084, + "step": 26716 + }, + { + "epoch": 0.63, + "grad_norm": 2.2384392289543755, + "learning_rate": 6.378168076921778e-06, + "loss": 0.9427, + "step": 26717 + }, + { + "epoch": 0.63, + "grad_norm": 1.8475747234286484, + "learning_rate": 6.377456851603426e-06, + "loss": 0.8798, + "step": 26718 + }, + { + "epoch": 0.63, + "grad_norm": 1.7774090044748259, + "learning_rate": 6.37674564737667e-06, + "loss": 0.8536, + "step": 26719 + }, + { + "epoch": 0.63, + "grad_norm": 1.621566613298339, + "learning_rate": 6.376034464245641e-06, + "loss": 0.8969, + "step": 26720 + }, + { + "epoch": 0.63, + "grad_norm": 0.7917187243388883, + "learning_rate": 6.375323302214491e-06, + "loss": 0.7244, + "step": 26721 + }, + { + "epoch": 0.63, + "grad_norm": 1.7685116890389885, + "learning_rate": 6.374612161287358e-06, + "loss": 0.7716, + "step": 26722 + }, + { + "epoch": 0.63, + "grad_norm": 0.7924119284322227, + "learning_rate": 6.373901041468378e-06, + "loss": 0.6893, + "step": 26723 + }, + { + "epoch": 0.63, + "grad_norm": 1.5636044424420963, + "learning_rate": 6.373189942761693e-06, + "loss": 0.8139, + "step": 26724 + }, + { + "epoch": 0.63, + "grad_norm": 1.6025295085116584, + "learning_rate": 6.372478865171446e-06, + "loss": 0.8144, + "step": 26725 + }, + { + "epoch": 0.63, + "grad_norm": 1.5100638780403968, + "learning_rate": 6.371767808701778e-06, + "loss": 0.9352, + "step": 26726 + }, + { + "epoch": 0.63, + "grad_norm": 1.4331468464484634, + "learning_rate": 6.371056773356823e-06, + "loss": 0.7716, + "step": 26727 + }, + { + "epoch": 0.63, + "grad_norm": 1.520972188789286, + "learning_rate": 6.370345759140724e-06, + "loss": 0.7926, + "step": 26728 + }, + { + "epoch": 0.63, + "grad_norm": 1.5175817667090172, + "learning_rate": 6.369634766057624e-06, + "loss": 0.9474, + "step": 26729 + }, + { + "epoch": 0.63, + "grad_norm": 1.9544550893671113, + "learning_rate": 6.368923794111659e-06, + "loss": 0.8345, + "step": 26730 + }, + { + "epoch": 0.63, + "grad_norm": 1.5843725984012489, + "learning_rate": 6.368212843306968e-06, + "loss": 0.839, + "step": 26731 + }, + { + "epoch": 0.63, + "grad_norm": 1.5677786348641862, + "learning_rate": 6.36750191364769e-06, + "loss": 0.8949, + "step": 26732 + }, + { + "epoch": 0.63, + "grad_norm": 1.5759125795049376, + "learning_rate": 6.36679100513797e-06, + "loss": 0.9207, + "step": 26733 + }, + { + "epoch": 0.63, + "grad_norm": 1.6090494047221557, + "learning_rate": 6.366080117781941e-06, + "loss": 0.9667, + "step": 26734 + }, + { + "epoch": 0.63, + "grad_norm": 0.7850289656401143, + "learning_rate": 6.365369251583744e-06, + "loss": 0.7118, + "step": 26735 + }, + { + "epoch": 0.63, + "grad_norm": 1.862415810840571, + "learning_rate": 6.364658406547519e-06, + "loss": 0.736, + "step": 26736 + }, + { + "epoch": 0.63, + "grad_norm": 1.8947866761675496, + "learning_rate": 6.363947582677401e-06, + "loss": 0.8097, + "step": 26737 + }, + { + "epoch": 0.63, + "grad_norm": 6.070626795152611, + "learning_rate": 6.363236779977533e-06, + "loss": 0.8959, + "step": 26738 + }, + { + "epoch": 0.63, + "grad_norm": 1.6138838607755948, + "learning_rate": 6.362525998452051e-06, + "loss": 0.6774, + "step": 26739 + }, + { + "epoch": 0.63, + "grad_norm": 1.5525418003191065, + "learning_rate": 6.3618152381050975e-06, + "loss": 0.7708, + "step": 26740 + }, + { + "epoch": 0.63, + "grad_norm": 1.6405420468105685, + "learning_rate": 6.3611044989408046e-06, + "loss": 0.8682, + "step": 26741 + }, + { + "epoch": 0.63, + "grad_norm": 1.6531864314737261, + "learning_rate": 6.360393780963313e-06, + "loss": 0.9499, + "step": 26742 + }, + { + "epoch": 0.63, + "grad_norm": 1.6889567954322988, + "learning_rate": 6.359683084176764e-06, + "loss": 0.9321, + "step": 26743 + }, + { + "epoch": 0.63, + "grad_norm": 1.684381942617773, + "learning_rate": 6.358972408585291e-06, + "loss": 0.9025, + "step": 26744 + }, + { + "epoch": 0.63, + "grad_norm": 1.6036814046807637, + "learning_rate": 6.358261754193032e-06, + "loss": 0.8638, + "step": 26745 + }, + { + "epoch": 0.63, + "grad_norm": 1.9540728610740268, + "learning_rate": 6.357551121004127e-06, + "loss": 0.8427, + "step": 26746 + }, + { + "epoch": 0.63, + "grad_norm": 1.6661419879768038, + "learning_rate": 6.3568405090227125e-06, + "loss": 0.8176, + "step": 26747 + }, + { + "epoch": 0.63, + "grad_norm": 1.6073594857958524, + "learning_rate": 6.356129918252927e-06, + "loss": 0.7754, + "step": 26748 + }, + { + "epoch": 0.63, + "grad_norm": 1.931371880481767, + "learning_rate": 6.3554193486989035e-06, + "loss": 0.7767, + "step": 26749 + }, + { + "epoch": 0.63, + "grad_norm": 0.7722640239804985, + "learning_rate": 6.354708800364786e-06, + "loss": 0.7129, + "step": 26750 + }, + { + "epoch": 0.63, + "grad_norm": 1.6991991184459834, + "learning_rate": 6.353998273254707e-06, + "loss": 0.7006, + "step": 26751 + }, + { + "epoch": 0.63, + "grad_norm": 1.7009369167165171, + "learning_rate": 6.353287767372802e-06, + "loss": 1.0766, + "step": 26752 + }, + { + "epoch": 0.63, + "grad_norm": 1.5253492516415121, + "learning_rate": 6.3525772827232115e-06, + "loss": 0.808, + "step": 26753 + }, + { + "epoch": 0.63, + "grad_norm": 1.6632395238427666, + "learning_rate": 6.351866819310073e-06, + "loss": 0.7695, + "step": 26754 + }, + { + "epoch": 0.63, + "grad_norm": 2.302413709764508, + "learning_rate": 6.35115637713752e-06, + "loss": 0.9548, + "step": 26755 + }, + { + "epoch": 0.63, + "grad_norm": 1.5292451145505208, + "learning_rate": 6.350445956209687e-06, + "loss": 0.8793, + "step": 26756 + }, + { + "epoch": 0.63, + "grad_norm": 1.4360914837639558, + "learning_rate": 6.349735556530718e-06, + "loss": 0.8916, + "step": 26757 + }, + { + "epoch": 0.63, + "grad_norm": 1.5136203731150657, + "learning_rate": 6.34902517810474e-06, + "loss": 0.8046, + "step": 26758 + }, + { + "epoch": 0.63, + "grad_norm": 1.8011042370775652, + "learning_rate": 6.348314820935895e-06, + "loss": 0.819, + "step": 26759 + }, + { + "epoch": 0.63, + "grad_norm": 1.3630861313974227, + "learning_rate": 6.347604485028314e-06, + "loss": 0.8343, + "step": 26760 + }, + { + "epoch": 0.63, + "grad_norm": 1.7454676109010565, + "learning_rate": 6.346894170386143e-06, + "loss": 0.9136, + "step": 26761 + }, + { + "epoch": 0.63, + "grad_norm": 1.797964021437683, + "learning_rate": 6.346183877013505e-06, + "loss": 0.856, + "step": 26762 + }, + { + "epoch": 0.63, + "grad_norm": 1.5166832355899074, + "learning_rate": 6.345473604914542e-06, + "loss": 0.8429, + "step": 26763 + }, + { + "epoch": 0.63, + "grad_norm": 0.7655974920573062, + "learning_rate": 6.344763354093388e-06, + "loss": 0.6798, + "step": 26764 + }, + { + "epoch": 0.63, + "grad_norm": 1.5679390435773735, + "learning_rate": 6.344053124554183e-06, + "loss": 0.9324, + "step": 26765 + }, + { + "epoch": 0.63, + "grad_norm": 1.345175599760703, + "learning_rate": 6.343342916301055e-06, + "loss": 0.6899, + "step": 26766 + }, + { + "epoch": 0.63, + "grad_norm": 1.5911827587058274, + "learning_rate": 6.342632729338143e-06, + "loss": 0.8932, + "step": 26767 + }, + { + "epoch": 0.63, + "grad_norm": 1.5497035139514685, + "learning_rate": 6.341922563669582e-06, + "loss": 0.7869, + "step": 26768 + }, + { + "epoch": 0.63, + "grad_norm": 2.028157423396737, + "learning_rate": 6.341212419299503e-06, + "loss": 0.9372, + "step": 26769 + }, + { + "epoch": 0.63, + "grad_norm": 1.514404997351929, + "learning_rate": 6.340502296232046e-06, + "loss": 0.9357, + "step": 26770 + }, + { + "epoch": 0.63, + "grad_norm": 0.7623472873955826, + "learning_rate": 6.3397921944713435e-06, + "loss": 0.7197, + "step": 26771 + }, + { + "epoch": 0.63, + "grad_norm": 0.7816387253252792, + "learning_rate": 6.339082114021531e-06, + "loss": 0.7339, + "step": 26772 + }, + { + "epoch": 0.63, + "grad_norm": 1.6840494105165178, + "learning_rate": 6.3383720548867366e-06, + "loss": 0.912, + "step": 26773 + }, + { + "epoch": 0.63, + "grad_norm": 1.443405534228132, + "learning_rate": 6.3376620170711026e-06, + "loss": 0.8007, + "step": 26774 + }, + { + "epoch": 0.63, + "grad_norm": 1.4803749286282164, + "learning_rate": 6.336952000578761e-06, + "loss": 0.8813, + "step": 26775 + }, + { + "epoch": 0.63, + "grad_norm": 1.6322458307691594, + "learning_rate": 6.336242005413843e-06, + "loss": 0.9191, + "step": 26776 + }, + { + "epoch": 0.63, + "grad_norm": 1.5741999664381066, + "learning_rate": 6.335532031580482e-06, + "loss": 0.8438, + "step": 26777 + }, + { + "epoch": 0.63, + "grad_norm": 1.800192179970868, + "learning_rate": 6.334822079082815e-06, + "loss": 0.9464, + "step": 26778 + }, + { + "epoch": 0.63, + "grad_norm": 4.6403144524202355, + "learning_rate": 6.334112147924978e-06, + "loss": 0.9869, + "step": 26779 + }, + { + "epoch": 0.63, + "grad_norm": 1.4467809866091068, + "learning_rate": 6.333402238111097e-06, + "loss": 0.7984, + "step": 26780 + }, + { + "epoch": 0.63, + "grad_norm": 1.5083212076176624, + "learning_rate": 6.332692349645307e-06, + "loss": 0.9321, + "step": 26781 + }, + { + "epoch": 0.63, + "grad_norm": 1.4878792177703755, + "learning_rate": 6.331982482531748e-06, + "loss": 0.8239, + "step": 26782 + }, + { + "epoch": 0.63, + "grad_norm": 1.9763876949350527, + "learning_rate": 6.331272636774546e-06, + "loss": 0.8491, + "step": 26783 + }, + { + "epoch": 0.63, + "grad_norm": 1.605587507771773, + "learning_rate": 6.330562812377836e-06, + "loss": 0.8199, + "step": 26784 + }, + { + "epoch": 0.63, + "grad_norm": 1.918177147638858, + "learning_rate": 6.329853009345748e-06, + "loss": 0.9154, + "step": 26785 + }, + { + "epoch": 0.63, + "grad_norm": 1.836467392031511, + "learning_rate": 6.329143227682423e-06, + "loss": 0.9943, + "step": 26786 + }, + { + "epoch": 0.63, + "grad_norm": 1.6051834815163166, + "learning_rate": 6.328433467391986e-06, + "loss": 0.7986, + "step": 26787 + }, + { + "epoch": 0.63, + "grad_norm": 1.798748760311861, + "learning_rate": 6.3277237284785695e-06, + "loss": 1.0483, + "step": 26788 + }, + { + "epoch": 0.63, + "grad_norm": 1.6989427042910556, + "learning_rate": 6.327014010946315e-06, + "loss": 0.834, + "step": 26789 + }, + { + "epoch": 0.63, + "grad_norm": 1.6366154834378124, + "learning_rate": 6.326304314799342e-06, + "loss": 0.8083, + "step": 26790 + }, + { + "epoch": 0.63, + "grad_norm": 1.5378064968183671, + "learning_rate": 6.32559464004179e-06, + "loss": 0.852, + "step": 26791 + }, + { + "epoch": 0.63, + "grad_norm": 1.5569163777681974, + "learning_rate": 6.324884986677786e-06, + "loss": 0.9253, + "step": 26792 + }, + { + "epoch": 0.63, + "grad_norm": 2.103142399737182, + "learning_rate": 6.324175354711473e-06, + "loss": 0.8909, + "step": 26793 + }, + { + "epoch": 0.63, + "grad_norm": 1.5242768431862572, + "learning_rate": 6.323465744146967e-06, + "loss": 0.8792, + "step": 26794 + }, + { + "epoch": 0.63, + "grad_norm": 1.7502743934330642, + "learning_rate": 6.32275615498841e-06, + "loss": 0.9121, + "step": 26795 + }, + { + "epoch": 0.63, + "grad_norm": 1.567098263546286, + "learning_rate": 6.322046587239934e-06, + "loss": 0.8121, + "step": 26796 + }, + { + "epoch": 0.63, + "grad_norm": 2.4939495865008623, + "learning_rate": 6.321337040905664e-06, + "loss": 0.7067, + "step": 26797 + }, + { + "epoch": 0.63, + "grad_norm": 2.4142980958871485, + "learning_rate": 6.320627515989733e-06, + "loss": 0.9054, + "step": 26798 + }, + { + "epoch": 0.63, + "grad_norm": 1.4959301762249562, + "learning_rate": 6.319918012496276e-06, + "loss": 0.8673, + "step": 26799 + }, + { + "epoch": 0.63, + "grad_norm": 1.5121385247732102, + "learning_rate": 6.319208530429422e-06, + "loss": 0.8412, + "step": 26800 + }, + { + "epoch": 0.63, + "grad_norm": 1.4651664467256396, + "learning_rate": 6.318499069793298e-06, + "loss": 0.8755, + "step": 26801 + }, + { + "epoch": 0.63, + "grad_norm": 1.799977425405085, + "learning_rate": 6.317789630592039e-06, + "loss": 0.8315, + "step": 26802 + }, + { + "epoch": 0.63, + "grad_norm": 2.6305902619293975, + "learning_rate": 6.317080212829778e-06, + "loss": 0.8971, + "step": 26803 + }, + { + "epoch": 0.63, + "grad_norm": 1.9950813638386817, + "learning_rate": 6.31637081651064e-06, + "loss": 0.8514, + "step": 26804 + }, + { + "epoch": 0.63, + "grad_norm": 2.14484573023931, + "learning_rate": 6.315661441638754e-06, + "loss": 0.7798, + "step": 26805 + }, + { + "epoch": 0.63, + "grad_norm": 1.6241649689596132, + "learning_rate": 6.314952088218256e-06, + "loss": 0.8248, + "step": 26806 + }, + { + "epoch": 0.63, + "grad_norm": 1.7674824431409821, + "learning_rate": 6.314242756253275e-06, + "loss": 0.7744, + "step": 26807 + }, + { + "epoch": 0.63, + "grad_norm": 1.7540576105262669, + "learning_rate": 6.313533445747939e-06, + "loss": 0.9869, + "step": 26808 + }, + { + "epoch": 0.63, + "grad_norm": 0.8148936445306487, + "learning_rate": 6.312824156706376e-06, + "loss": 0.7421, + "step": 26809 + }, + { + "epoch": 0.63, + "grad_norm": 1.4629565157744686, + "learning_rate": 6.312114889132721e-06, + "loss": 0.8685, + "step": 26810 + }, + { + "epoch": 0.63, + "grad_norm": 1.7601535509756703, + "learning_rate": 6.311405643031101e-06, + "loss": 0.998, + "step": 26811 + }, + { + "epoch": 0.63, + "grad_norm": 1.605564559486699, + "learning_rate": 6.310696418405643e-06, + "loss": 0.8279, + "step": 26812 + }, + { + "epoch": 0.63, + "grad_norm": 1.7515445581383866, + "learning_rate": 6.309987215260477e-06, + "loss": 1.0042, + "step": 26813 + }, + { + "epoch": 0.63, + "grad_norm": 1.8187348868466808, + "learning_rate": 6.309278033599738e-06, + "loss": 0.8586, + "step": 26814 + }, + { + "epoch": 0.63, + "grad_norm": 0.7787350567193058, + "learning_rate": 6.3085688734275485e-06, + "loss": 0.7036, + "step": 26815 + }, + { + "epoch": 0.63, + "grad_norm": 1.6703043131328255, + "learning_rate": 6.307859734748039e-06, + "loss": 0.8402, + "step": 26816 + }, + { + "epoch": 0.63, + "grad_norm": 1.5364431331434576, + "learning_rate": 6.307150617565343e-06, + "loss": 0.8988, + "step": 26817 + }, + { + "epoch": 0.63, + "grad_norm": 1.544500825854828, + "learning_rate": 6.3064415218835795e-06, + "loss": 0.7775, + "step": 26818 + }, + { + "epoch": 0.63, + "grad_norm": 1.6579295985419717, + "learning_rate": 6.305732447706885e-06, + "loss": 0.9034, + "step": 26819 + }, + { + "epoch": 0.63, + "grad_norm": 1.5242394858489696, + "learning_rate": 6.305023395039387e-06, + "loss": 0.8934, + "step": 26820 + }, + { + "epoch": 0.63, + "grad_norm": 1.6727461019095138, + "learning_rate": 6.3043143638852134e-06, + "loss": 0.8609, + "step": 26821 + }, + { + "epoch": 0.63, + "grad_norm": 1.533953208968131, + "learning_rate": 6.303605354248488e-06, + "loss": 0.817, + "step": 26822 + }, + { + "epoch": 0.63, + "grad_norm": 1.584903445298454, + "learning_rate": 6.302896366133344e-06, + "loss": 0.8618, + "step": 26823 + }, + { + "epoch": 0.63, + "grad_norm": 1.7924890581792607, + "learning_rate": 6.302187399543911e-06, + "loss": 1.0161, + "step": 26824 + }, + { + "epoch": 0.63, + "grad_norm": 2.2244557864386594, + "learning_rate": 6.301478454484311e-06, + "loss": 0.8029, + "step": 26825 + }, + { + "epoch": 0.63, + "grad_norm": 1.5673427341401096, + "learning_rate": 6.300769530958673e-06, + "loss": 0.8005, + "step": 26826 + }, + { + "epoch": 0.63, + "grad_norm": 2.0754786380166776, + "learning_rate": 6.300060628971127e-06, + "loss": 0.6857, + "step": 26827 + }, + { + "epoch": 0.63, + "grad_norm": 1.5762814169230535, + "learning_rate": 6.299351748525802e-06, + "loss": 0.9745, + "step": 26828 + }, + { + "epoch": 0.63, + "grad_norm": 1.5266782961015504, + "learning_rate": 6.298642889626821e-06, + "loss": 0.7696, + "step": 26829 + }, + { + "epoch": 0.63, + "grad_norm": 3.173959893755783, + "learning_rate": 6.297934052278309e-06, + "loss": 0.8179, + "step": 26830 + }, + { + "epoch": 0.63, + "grad_norm": 1.9696718955054502, + "learning_rate": 6.297225236484402e-06, + "loss": 0.9209, + "step": 26831 + }, + { + "epoch": 0.63, + "grad_norm": 1.9860235872680612, + "learning_rate": 6.296516442249221e-06, + "loss": 0.8304, + "step": 26832 + }, + { + "epoch": 0.63, + "grad_norm": 1.6288654630100545, + "learning_rate": 6.295807669576892e-06, + "loss": 0.8081, + "step": 26833 + }, + { + "epoch": 0.63, + "grad_norm": 1.8754836073617067, + "learning_rate": 6.295098918471543e-06, + "loss": 0.8939, + "step": 26834 + }, + { + "epoch": 0.63, + "grad_norm": 1.6589889430757223, + "learning_rate": 6.294390188937305e-06, + "loss": 0.7747, + "step": 26835 + }, + { + "epoch": 0.63, + "grad_norm": 1.6886512673790492, + "learning_rate": 6.293681480978298e-06, + "loss": 0.8195, + "step": 26836 + }, + { + "epoch": 0.63, + "grad_norm": 2.098162581600511, + "learning_rate": 6.292972794598649e-06, + "loss": 0.9095, + "step": 26837 + }, + { + "epoch": 0.63, + "grad_norm": 1.595669038950146, + "learning_rate": 6.292264129802492e-06, + "loss": 0.7813, + "step": 26838 + }, + { + "epoch": 0.63, + "grad_norm": 1.7060170651076323, + "learning_rate": 6.291555486593941e-06, + "loss": 0.7933, + "step": 26839 + }, + { + "epoch": 0.63, + "grad_norm": 0.7739626394897844, + "learning_rate": 6.290846864977129e-06, + "loss": 0.6797, + "step": 26840 + }, + { + "epoch": 0.63, + "grad_norm": 1.6024066799468704, + "learning_rate": 6.290138264956181e-06, + "loss": 0.8852, + "step": 26841 + }, + { + "epoch": 0.63, + "grad_norm": 1.6428844231560136, + "learning_rate": 6.289429686535226e-06, + "loss": 0.8472, + "step": 26842 + }, + { + "epoch": 0.63, + "grad_norm": 1.7374502052915188, + "learning_rate": 6.2887211297183825e-06, + "loss": 0.7695, + "step": 26843 + }, + { + "epoch": 0.63, + "grad_norm": 1.693831527884859, + "learning_rate": 6.28801259450978e-06, + "loss": 0.8995, + "step": 26844 + }, + { + "epoch": 0.63, + "grad_norm": 1.4949672351137768, + "learning_rate": 6.2873040809135465e-06, + "loss": 0.9158, + "step": 26845 + }, + { + "epoch": 0.63, + "grad_norm": 1.4317014756377198, + "learning_rate": 6.286595588933802e-06, + "loss": 0.9056, + "step": 26846 + }, + { + "epoch": 0.63, + "grad_norm": 1.4884986786473524, + "learning_rate": 6.285887118574671e-06, + "loss": 0.8507, + "step": 26847 + }, + { + "epoch": 0.63, + "grad_norm": 1.618598627746178, + "learning_rate": 6.285178669840284e-06, + "loss": 0.8689, + "step": 26848 + }, + { + "epoch": 0.63, + "grad_norm": 1.5400245372860388, + "learning_rate": 6.284470242734764e-06, + "loss": 0.8897, + "step": 26849 + }, + { + "epoch": 0.63, + "grad_norm": 1.5528691361535985, + "learning_rate": 6.28376183726223e-06, + "loss": 0.8772, + "step": 26850 + }, + { + "epoch": 0.63, + "grad_norm": 1.836560070026356, + "learning_rate": 6.283053453426813e-06, + "loss": 0.8427, + "step": 26851 + }, + { + "epoch": 0.63, + "grad_norm": 1.7869306993701584, + "learning_rate": 6.282345091232639e-06, + "loss": 0.8208, + "step": 26852 + }, + { + "epoch": 0.63, + "grad_norm": 1.6821041635484664, + "learning_rate": 6.2816367506838265e-06, + "loss": 0.8426, + "step": 26853 + }, + { + "epoch": 0.63, + "grad_norm": 1.5949824081825223, + "learning_rate": 6.280928431784499e-06, + "loss": 0.756, + "step": 26854 + }, + { + "epoch": 0.63, + "grad_norm": 1.4886616706169962, + "learning_rate": 6.280220134538787e-06, + "loss": 0.9124, + "step": 26855 + }, + { + "epoch": 0.63, + "grad_norm": 1.4428686391862817, + "learning_rate": 6.279511858950813e-06, + "loss": 0.7589, + "step": 26856 + }, + { + "epoch": 0.63, + "grad_norm": 1.577238338597949, + "learning_rate": 6.278803605024695e-06, + "loss": 0.8838, + "step": 26857 + }, + { + "epoch": 0.63, + "grad_norm": 1.870668339438252, + "learning_rate": 6.278095372764561e-06, + "loss": 0.7438, + "step": 26858 + }, + { + "epoch": 0.63, + "grad_norm": 6.455570191209205, + "learning_rate": 6.277387162174536e-06, + "loss": 0.8795, + "step": 26859 + }, + { + "epoch": 0.63, + "grad_norm": 0.7440992320993631, + "learning_rate": 6.276678973258741e-06, + "loss": 0.7077, + "step": 26860 + }, + { + "epoch": 0.63, + "grad_norm": 3.1240957330171204, + "learning_rate": 6.2759708060212985e-06, + "loss": 0.892, + "step": 26861 + }, + { + "epoch": 0.63, + "grad_norm": 1.5533590704324962, + "learning_rate": 6.275262660466333e-06, + "loss": 0.8197, + "step": 26862 + }, + { + "epoch": 0.63, + "grad_norm": 1.9784530182590507, + "learning_rate": 6.274554536597969e-06, + "loss": 0.8544, + "step": 26863 + }, + { + "epoch": 0.63, + "grad_norm": 1.5406101596558022, + "learning_rate": 6.273846434420328e-06, + "loss": 0.8017, + "step": 26864 + }, + { + "epoch": 0.63, + "grad_norm": 1.4982145045783415, + "learning_rate": 6.2731383539375315e-06, + "loss": 0.877, + "step": 26865 + }, + { + "epoch": 0.63, + "grad_norm": 0.7454927991248108, + "learning_rate": 6.272430295153705e-06, + "loss": 0.7422, + "step": 26866 + }, + { + "epoch": 0.63, + "grad_norm": 1.574757527920494, + "learning_rate": 6.2717222580729665e-06, + "loss": 0.8607, + "step": 26867 + }, + { + "epoch": 0.63, + "grad_norm": 1.7994311930954974, + "learning_rate": 6.271014242699442e-06, + "loss": 0.8383, + "step": 26868 + }, + { + "epoch": 0.63, + "grad_norm": 1.5603057265047808, + "learning_rate": 6.270306249037254e-06, + "loss": 0.9535, + "step": 26869 + }, + { + "epoch": 0.63, + "grad_norm": 1.8280782328715564, + "learning_rate": 6.269598277090527e-06, + "loss": 0.9133, + "step": 26870 + }, + { + "epoch": 0.63, + "grad_norm": 1.4709287430954348, + "learning_rate": 6.268890326863375e-06, + "loss": 0.8669, + "step": 26871 + }, + { + "epoch": 0.63, + "grad_norm": 1.4791722823453044, + "learning_rate": 6.268182398359927e-06, + "loss": 0.8859, + "step": 26872 + }, + { + "epoch": 0.63, + "grad_norm": 1.6432837376542162, + "learning_rate": 6.267474491584304e-06, + "loss": 0.911, + "step": 26873 + }, + { + "epoch": 0.63, + "grad_norm": 1.693272096924664, + "learning_rate": 6.266766606540624e-06, + "loss": 0.7975, + "step": 26874 + }, + { + "epoch": 0.63, + "grad_norm": 1.6046853750204597, + "learning_rate": 6.26605874323301e-06, + "loss": 0.9014, + "step": 26875 + }, + { + "epoch": 0.63, + "grad_norm": 1.7708383014757691, + "learning_rate": 6.265350901665586e-06, + "loss": 0.7649, + "step": 26876 + }, + { + "epoch": 0.63, + "grad_norm": 2.81714308080734, + "learning_rate": 6.264643081842472e-06, + "loss": 0.8404, + "step": 26877 + }, + { + "epoch": 0.63, + "grad_norm": 1.726345068893949, + "learning_rate": 6.263935283767787e-06, + "loss": 0.8705, + "step": 26878 + }, + { + "epoch": 0.63, + "grad_norm": 0.7596707884934726, + "learning_rate": 6.2632275074456515e-06, + "loss": 0.6897, + "step": 26879 + }, + { + "epoch": 0.63, + "grad_norm": 1.671373076874974, + "learning_rate": 6.262519752880193e-06, + "loss": 0.8281, + "step": 26880 + }, + { + "epoch": 0.63, + "grad_norm": 1.6548093243939233, + "learning_rate": 6.2618120200755264e-06, + "loss": 0.8241, + "step": 26881 + }, + { + "epoch": 0.63, + "grad_norm": 1.5525281494210637, + "learning_rate": 6.261104309035772e-06, + "loss": 0.9495, + "step": 26882 + }, + { + "epoch": 0.63, + "grad_norm": 1.5741873984950947, + "learning_rate": 6.260396619765051e-06, + "loss": 0.7858, + "step": 26883 + }, + { + "epoch": 0.63, + "grad_norm": 1.5636233674881337, + "learning_rate": 6.259688952267489e-06, + "loss": 0.9687, + "step": 26884 + }, + { + "epoch": 0.63, + "grad_norm": 1.665985834919165, + "learning_rate": 6.2589813065472005e-06, + "loss": 0.741, + "step": 26885 + }, + { + "epoch": 0.63, + "grad_norm": 1.618589339946817, + "learning_rate": 6.258273682608304e-06, + "loss": 0.5664, + "step": 26886 + }, + { + "epoch": 0.63, + "grad_norm": 1.637826069296827, + "learning_rate": 6.257566080454925e-06, + "loss": 0.7629, + "step": 26887 + }, + { + "epoch": 0.63, + "grad_norm": 1.3524536024906213, + "learning_rate": 6.256858500091184e-06, + "loss": 0.7844, + "step": 26888 + }, + { + "epoch": 0.63, + "grad_norm": 1.6146919741687038, + "learning_rate": 6.256150941521195e-06, + "loss": 0.9367, + "step": 26889 + }, + { + "epoch": 0.63, + "grad_norm": 1.6894846231943477, + "learning_rate": 6.25544340474908e-06, + "loss": 0.8409, + "step": 26890 + }, + { + "epoch": 0.63, + "grad_norm": 1.533760434883234, + "learning_rate": 6.2547358897789625e-06, + "loss": 0.94, + "step": 26891 + }, + { + "epoch": 0.63, + "grad_norm": 1.802917349552013, + "learning_rate": 6.254028396614954e-06, + "loss": 0.8952, + "step": 26892 + }, + { + "epoch": 0.63, + "grad_norm": 1.4947192512313707, + "learning_rate": 6.2533209252611795e-06, + "loss": 0.935, + "step": 26893 + }, + { + "epoch": 0.63, + "grad_norm": 1.3983833418463867, + "learning_rate": 6.252613475721756e-06, + "loss": 0.8075, + "step": 26894 + }, + { + "epoch": 0.63, + "grad_norm": 1.6082337562193065, + "learning_rate": 6.251906048000807e-06, + "loss": 0.7148, + "step": 26895 + }, + { + "epoch": 0.63, + "grad_norm": 1.472022632601972, + "learning_rate": 6.251198642102444e-06, + "loss": 0.7418, + "step": 26896 + }, + { + "epoch": 0.63, + "grad_norm": 1.602796459324762, + "learning_rate": 6.2504912580307905e-06, + "loss": 0.6794, + "step": 26897 + }, + { + "epoch": 0.63, + "grad_norm": 1.6823941844123818, + "learning_rate": 6.2497838957899645e-06, + "loss": 0.8261, + "step": 26898 + }, + { + "epoch": 0.63, + "grad_norm": 1.7326047779217113, + "learning_rate": 6.249076555384082e-06, + "loss": 0.967, + "step": 26899 + }, + { + "epoch": 0.63, + "grad_norm": 1.7571314894060095, + "learning_rate": 6.248369236817265e-06, + "loss": 0.8262, + "step": 26900 + }, + { + "epoch": 0.63, + "grad_norm": 1.3646919585437025, + "learning_rate": 6.247661940093629e-06, + "loss": 0.7786, + "step": 26901 + }, + { + "epoch": 0.63, + "grad_norm": 1.6367145249996757, + "learning_rate": 6.246954665217295e-06, + "loss": 0.8887, + "step": 26902 + }, + { + "epoch": 0.63, + "grad_norm": 1.6298507051008189, + "learning_rate": 6.2462474121923765e-06, + "loss": 0.8272, + "step": 26903 + }, + { + "epoch": 0.63, + "grad_norm": 1.5632178727258879, + "learning_rate": 6.245540181022996e-06, + "loss": 0.8257, + "step": 26904 + }, + { + "epoch": 0.63, + "grad_norm": 1.8321854958475192, + "learning_rate": 6.2448329717132705e-06, + "loss": 0.8487, + "step": 26905 + }, + { + "epoch": 0.63, + "grad_norm": 1.6950916559517282, + "learning_rate": 6.244125784267314e-06, + "loss": 0.7769, + "step": 26906 + }, + { + "epoch": 0.63, + "grad_norm": 1.6252978114606236, + "learning_rate": 6.243418618689246e-06, + "loss": 0.7411, + "step": 26907 + }, + { + "epoch": 0.63, + "grad_norm": 1.687605801757431, + "learning_rate": 6.242711474983183e-06, + "loss": 0.7669, + "step": 26908 + }, + { + "epoch": 0.63, + "grad_norm": 1.8045647759917955, + "learning_rate": 6.242004353153248e-06, + "loss": 0.909, + "step": 26909 + }, + { + "epoch": 0.63, + "grad_norm": 1.7330933462211102, + "learning_rate": 6.241297253203551e-06, + "loss": 0.9514, + "step": 26910 + }, + { + "epoch": 0.63, + "grad_norm": 1.5982338094847173, + "learning_rate": 6.240590175138208e-06, + "loss": 0.807, + "step": 26911 + }, + { + "epoch": 0.63, + "grad_norm": 1.6077443522866324, + "learning_rate": 6.239883118961344e-06, + "loss": 0.898, + "step": 26912 + }, + { + "epoch": 0.63, + "grad_norm": 1.4783551938590067, + "learning_rate": 6.23917608467707e-06, + "loss": 0.8264, + "step": 26913 + }, + { + "epoch": 0.63, + "grad_norm": 1.4173618832746504, + "learning_rate": 6.2384690722895016e-06, + "loss": 0.9447, + "step": 26914 + }, + { + "epoch": 0.63, + "grad_norm": 1.563533175891396, + "learning_rate": 6.237762081802757e-06, + "loss": 0.8182, + "step": 26915 + }, + { + "epoch": 0.63, + "grad_norm": 2.0953169979951296, + "learning_rate": 6.237055113220955e-06, + "loss": 0.8522, + "step": 26916 + }, + { + "epoch": 0.63, + "grad_norm": 2.0183727510454594, + "learning_rate": 6.236348166548208e-06, + "loss": 0.8623, + "step": 26917 + }, + { + "epoch": 0.63, + "grad_norm": 0.7725134529454112, + "learning_rate": 6.2356412417886335e-06, + "loss": 0.752, + "step": 26918 + }, + { + "epoch": 0.63, + "grad_norm": 1.746371704288437, + "learning_rate": 6.23493433894635e-06, + "loss": 0.7414, + "step": 26919 + }, + { + "epoch": 0.63, + "grad_norm": 1.5998810658861693, + "learning_rate": 6.234227458025466e-06, + "loss": 0.9164, + "step": 26920 + }, + { + "epoch": 0.63, + "grad_norm": 1.76271961709224, + "learning_rate": 6.233520599030105e-06, + "loss": 0.8642, + "step": 26921 + }, + { + "epoch": 0.63, + "grad_norm": 1.7273671552631333, + "learning_rate": 6.232813761964377e-06, + "loss": 0.854, + "step": 26922 + }, + { + "epoch": 0.63, + "grad_norm": 1.6632028281454923, + "learning_rate": 6.232106946832406e-06, + "loss": 0.9409, + "step": 26923 + }, + { + "epoch": 0.63, + "grad_norm": 1.744884750996277, + "learning_rate": 6.231400153638294e-06, + "loss": 0.7946, + "step": 26924 + }, + { + "epoch": 0.63, + "grad_norm": 1.987189858470433, + "learning_rate": 6.230693382386167e-06, + "loss": 0.725, + "step": 26925 + }, + { + "epoch": 0.63, + "grad_norm": 1.5653883104536106, + "learning_rate": 6.229986633080138e-06, + "loss": 0.8062, + "step": 26926 + }, + { + "epoch": 0.63, + "grad_norm": 2.0160249386194207, + "learning_rate": 6.229279905724319e-06, + "loss": 0.9338, + "step": 26927 + }, + { + "epoch": 0.63, + "grad_norm": 1.7688068825411332, + "learning_rate": 6.228573200322823e-06, + "loss": 0.8076, + "step": 26928 + }, + { + "epoch": 0.63, + "grad_norm": 1.6295012936389957, + "learning_rate": 6.22786651687977e-06, + "loss": 0.8498, + "step": 26929 + }, + { + "epoch": 0.63, + "grad_norm": 1.440464999849056, + "learning_rate": 6.227159855399276e-06, + "loss": 0.891, + "step": 26930 + }, + { + "epoch": 0.63, + "grad_norm": 1.6424602421310612, + "learning_rate": 6.226453215885448e-06, + "loss": 0.8895, + "step": 26931 + }, + { + "epoch": 0.63, + "grad_norm": 1.5974205377210047, + "learning_rate": 6.225746598342402e-06, + "loss": 0.8979, + "step": 26932 + }, + { + "epoch": 0.63, + "grad_norm": 1.586707575660579, + "learning_rate": 6.22504000277426e-06, + "loss": 0.7708, + "step": 26933 + }, + { + "epoch": 0.63, + "grad_norm": 1.6105789313911119, + "learning_rate": 6.224333429185127e-06, + "loss": 0.7528, + "step": 26934 + }, + { + "epoch": 0.63, + "grad_norm": 1.566279550725694, + "learning_rate": 6.223626877579119e-06, + "loss": 0.8163, + "step": 26935 + }, + { + "epoch": 0.63, + "grad_norm": 1.678991512453388, + "learning_rate": 6.22292034796035e-06, + "loss": 0.8791, + "step": 26936 + }, + { + "epoch": 0.63, + "grad_norm": 2.2070721030937785, + "learning_rate": 6.22221384033294e-06, + "loss": 0.8588, + "step": 26937 + }, + { + "epoch": 0.63, + "grad_norm": 1.920386404932779, + "learning_rate": 6.221507354700993e-06, + "loss": 0.8585, + "step": 26938 + }, + { + "epoch": 0.63, + "grad_norm": 1.8239092627970532, + "learning_rate": 6.2208008910686255e-06, + "loss": 0.9809, + "step": 26939 + }, + { + "epoch": 0.63, + "grad_norm": 0.6922344845139261, + "learning_rate": 6.220094449439957e-06, + "loss": 0.7326, + "step": 26940 + }, + { + "epoch": 0.63, + "grad_norm": 1.7604443501649931, + "learning_rate": 6.21938802981909e-06, + "loss": 0.8433, + "step": 26941 + }, + { + "epoch": 0.63, + "grad_norm": 0.7486349130616139, + "learning_rate": 6.218681632210144e-06, + "loss": 0.6678, + "step": 26942 + }, + { + "epoch": 0.63, + "grad_norm": 1.7984304944656404, + "learning_rate": 6.21797525661723e-06, + "loss": 0.7974, + "step": 26943 + }, + { + "epoch": 0.63, + "grad_norm": 1.5296137082361332, + "learning_rate": 6.217268903044467e-06, + "loss": 0.931, + "step": 26944 + }, + { + "epoch": 0.63, + "grad_norm": 1.5273078472690327, + "learning_rate": 6.2165625714959545e-06, + "loss": 0.8301, + "step": 26945 + }, + { + "epoch": 0.63, + "grad_norm": 1.7945572123473168, + "learning_rate": 6.215856261975816e-06, + "loss": 0.7654, + "step": 26946 + }, + { + "epoch": 0.63, + "grad_norm": 1.5615771088828172, + "learning_rate": 6.215149974488161e-06, + "loss": 0.7742, + "step": 26947 + }, + { + "epoch": 0.63, + "grad_norm": 1.8579643213419457, + "learning_rate": 6.214443709037099e-06, + "loss": 0.855, + "step": 26948 + }, + { + "epoch": 0.63, + "grad_norm": 1.8005022394068888, + "learning_rate": 6.213737465626746e-06, + "loss": 0.875, + "step": 26949 + }, + { + "epoch": 0.63, + "grad_norm": 1.6262097399496265, + "learning_rate": 6.213031244261212e-06, + "loss": 0.8756, + "step": 26950 + }, + { + "epoch": 0.63, + "grad_norm": 1.5497919589828792, + "learning_rate": 6.212325044944609e-06, + "loss": 0.7882, + "step": 26951 + }, + { + "epoch": 0.63, + "grad_norm": 1.7227642844574473, + "learning_rate": 6.2116188676810466e-06, + "loss": 0.9274, + "step": 26952 + }, + { + "epoch": 0.63, + "grad_norm": 1.7255533276998556, + "learning_rate": 6.2109127124746405e-06, + "loss": 0.7797, + "step": 26953 + }, + { + "epoch": 0.64, + "grad_norm": 0.7499396660311634, + "learning_rate": 6.210206579329502e-06, + "loss": 0.7139, + "step": 26954 + }, + { + "epoch": 0.64, + "grad_norm": 0.7819644973265499, + "learning_rate": 6.209500468249738e-06, + "loss": 0.7398, + "step": 26955 + }, + { + "epoch": 0.64, + "grad_norm": 2.0694881579166586, + "learning_rate": 6.208794379239462e-06, + "loss": 0.8249, + "step": 26956 + }, + { + "epoch": 0.64, + "grad_norm": 1.5922963792112355, + "learning_rate": 6.208088312302785e-06, + "loss": 0.7463, + "step": 26957 + }, + { + "epoch": 0.64, + "grad_norm": 1.591270598874332, + "learning_rate": 6.207382267443823e-06, + "loss": 0.8663, + "step": 26958 + }, + { + "epoch": 0.64, + "grad_norm": 5.446166308108094, + "learning_rate": 6.2066762446666785e-06, + "loss": 0.8771, + "step": 26959 + }, + { + "epoch": 0.64, + "grad_norm": 1.4630495159479442, + "learning_rate": 6.205970243975464e-06, + "loss": 0.7703, + "step": 26960 + }, + { + "epoch": 0.64, + "grad_norm": 1.6131181601650486, + "learning_rate": 6.205264265374295e-06, + "loss": 0.8227, + "step": 26961 + }, + { + "epoch": 0.64, + "grad_norm": 1.6915145483273253, + "learning_rate": 6.2045583088672785e-06, + "loss": 0.9197, + "step": 26962 + }, + { + "epoch": 0.64, + "grad_norm": 2.3385547560293407, + "learning_rate": 6.2038523744585254e-06, + "loss": 0.7688, + "step": 26963 + }, + { + "epoch": 0.64, + "grad_norm": 2.2165695329341135, + "learning_rate": 6.203146462152142e-06, + "loss": 0.8525, + "step": 26964 + }, + { + "epoch": 0.64, + "grad_norm": 1.6566143238264044, + "learning_rate": 6.202440571952246e-06, + "loss": 0.893, + "step": 26965 + }, + { + "epoch": 0.64, + "grad_norm": 1.6451369170031418, + "learning_rate": 6.201734703862942e-06, + "loss": 0.8636, + "step": 26966 + }, + { + "epoch": 0.64, + "grad_norm": 2.2327700697833293, + "learning_rate": 6.201028857888342e-06, + "loss": 0.8807, + "step": 26967 + }, + { + "epoch": 0.64, + "grad_norm": 1.629626074056473, + "learning_rate": 6.200323034032556e-06, + "loss": 0.8832, + "step": 26968 + }, + { + "epoch": 0.64, + "grad_norm": 1.7603104970157761, + "learning_rate": 6.1996172322996885e-06, + "loss": 0.7762, + "step": 26969 + }, + { + "epoch": 0.64, + "grad_norm": 1.6437985167785638, + "learning_rate": 6.1989114526938535e-06, + "loss": 0.8949, + "step": 26970 + }, + { + "epoch": 0.64, + "grad_norm": 1.8534234249986996, + "learning_rate": 6.198205695219157e-06, + "loss": 0.8142, + "step": 26971 + }, + { + "epoch": 0.64, + "grad_norm": 1.5349426931265209, + "learning_rate": 6.197499959879718e-06, + "loss": 0.8664, + "step": 26972 + }, + { + "epoch": 0.64, + "grad_norm": 2.040130648444855, + "learning_rate": 6.1967942466796315e-06, + "loss": 0.8301, + "step": 26973 + }, + { + "epoch": 0.64, + "grad_norm": 1.490455688384551, + "learning_rate": 6.196088555623016e-06, + "loss": 1.0034, + "step": 26974 + }, + { + "epoch": 0.64, + "grad_norm": 1.6118088235679628, + "learning_rate": 6.1953828867139784e-06, + "loss": 0.9015, + "step": 26975 + }, + { + "epoch": 0.64, + "grad_norm": 1.7866685120283887, + "learning_rate": 6.194677239956625e-06, + "loss": 0.7594, + "step": 26976 + }, + { + "epoch": 0.64, + "grad_norm": 2.091976243592423, + "learning_rate": 6.193971615355062e-06, + "loss": 0.8356, + "step": 26977 + }, + { + "epoch": 0.64, + "grad_norm": 1.324951375785033, + "learning_rate": 6.1932660129134035e-06, + "loss": 0.7464, + "step": 26978 + }, + { + "epoch": 0.64, + "grad_norm": 2.105649382697799, + "learning_rate": 6.1925604326357595e-06, + "loss": 0.8932, + "step": 26979 + }, + { + "epoch": 0.64, + "grad_norm": 2.1193035947660883, + "learning_rate": 6.191854874526229e-06, + "loss": 0.7374, + "step": 26980 + }, + { + "epoch": 0.64, + "grad_norm": 2.428055535531366, + "learning_rate": 6.191149338588924e-06, + "loss": 0.8158, + "step": 26981 + }, + { + "epoch": 0.64, + "grad_norm": 2.100385599243297, + "learning_rate": 6.190443824827958e-06, + "loss": 0.8872, + "step": 26982 + }, + { + "epoch": 0.64, + "grad_norm": 3.131781519101684, + "learning_rate": 6.189738333247433e-06, + "loss": 0.8361, + "step": 26983 + }, + { + "epoch": 0.64, + "grad_norm": 1.7173314831954567, + "learning_rate": 6.189032863851454e-06, + "loss": 0.8189, + "step": 26984 + }, + { + "epoch": 0.64, + "grad_norm": 1.4994616808348074, + "learning_rate": 6.1883274166441356e-06, + "loss": 0.8346, + "step": 26985 + }, + { + "epoch": 0.64, + "grad_norm": 1.6592776136908582, + "learning_rate": 6.187621991629582e-06, + "loss": 0.8697, + "step": 26986 + }, + { + "epoch": 0.64, + "grad_norm": 1.5121355558933798, + "learning_rate": 6.1869165888119e-06, + "loss": 0.8021, + "step": 26987 + }, + { + "epoch": 0.64, + "grad_norm": 1.7025818453545805, + "learning_rate": 6.186211208195194e-06, + "loss": 0.7147, + "step": 26988 + }, + { + "epoch": 0.64, + "grad_norm": 1.4719371381408732, + "learning_rate": 6.18550584978358e-06, + "loss": 0.8257, + "step": 26989 + }, + { + "epoch": 0.64, + "grad_norm": 1.6514579817886392, + "learning_rate": 6.184800513581153e-06, + "loss": 0.8685, + "step": 26990 + }, + { + "epoch": 0.64, + "grad_norm": 1.6273784343071436, + "learning_rate": 6.184095199592026e-06, + "loss": 0.8896, + "step": 26991 + }, + { + "epoch": 0.64, + "grad_norm": 1.6188101216737414, + "learning_rate": 6.183389907820303e-06, + "loss": 0.8057, + "step": 26992 + }, + { + "epoch": 0.64, + "grad_norm": 1.531299999859005, + "learning_rate": 6.1826846382701e-06, + "loss": 0.8189, + "step": 26993 + }, + { + "epoch": 0.64, + "grad_norm": 1.8511913692850455, + "learning_rate": 6.1819793909455076e-06, + "loss": 0.8299, + "step": 26994 + }, + { + "epoch": 0.64, + "grad_norm": 1.7027690260066182, + "learning_rate": 6.181274165850644e-06, + "loss": 0.7774, + "step": 26995 + }, + { + "epoch": 0.64, + "grad_norm": 1.3454425203487232, + "learning_rate": 6.18056896298961e-06, + "loss": 0.8458, + "step": 26996 + }, + { + "epoch": 0.64, + "grad_norm": 1.5187753053305137, + "learning_rate": 6.179863782366512e-06, + "loss": 0.8496, + "step": 26997 + }, + { + "epoch": 0.64, + "grad_norm": 2.193661517109868, + "learning_rate": 6.179158623985457e-06, + "loss": 0.8277, + "step": 26998 + }, + { + "epoch": 0.64, + "grad_norm": 2.1803850561559357, + "learning_rate": 6.178453487850551e-06, + "loss": 0.8627, + "step": 26999 + }, + { + "epoch": 0.64, + "grad_norm": 0.7817210977233564, + "learning_rate": 6.1777483739659e-06, + "loss": 0.7093, + "step": 27000 + }, + { + "epoch": 0.64, + "grad_norm": 1.8275918535936995, + "learning_rate": 6.177043282335603e-06, + "loss": 0.8614, + "step": 27001 + }, + { + "epoch": 0.64, + "grad_norm": 1.6604527735436518, + "learning_rate": 6.1763382129637725e-06, + "loss": 0.8184, + "step": 27002 + }, + { + "epoch": 0.64, + "grad_norm": 1.6683794803684602, + "learning_rate": 6.175633165854515e-06, + "loss": 0.8974, + "step": 27003 + }, + { + "epoch": 0.64, + "grad_norm": 1.5540897344566942, + "learning_rate": 6.17492814101193e-06, + "loss": 0.702, + "step": 27004 + }, + { + "epoch": 0.64, + "grad_norm": 1.4198476705049872, + "learning_rate": 6.174223138440121e-06, + "loss": 0.9196, + "step": 27005 + }, + { + "epoch": 0.64, + "grad_norm": 1.6167827892147824, + "learning_rate": 6.173518158143199e-06, + "loss": 0.8179, + "step": 27006 + }, + { + "epoch": 0.64, + "grad_norm": 1.9308945921465075, + "learning_rate": 6.172813200125267e-06, + "loss": 0.7916, + "step": 27007 + }, + { + "epoch": 0.64, + "grad_norm": 1.5587128568912847, + "learning_rate": 6.172108264390428e-06, + "loss": 0.8356, + "step": 27008 + }, + { + "epoch": 0.64, + "grad_norm": 1.76244796922263, + "learning_rate": 6.171403350942783e-06, + "loss": 0.8453, + "step": 27009 + }, + { + "epoch": 0.64, + "grad_norm": 1.7431861428089857, + "learning_rate": 6.170698459786442e-06, + "loss": 0.9023, + "step": 27010 + }, + { + "epoch": 0.64, + "grad_norm": 1.746243538448183, + "learning_rate": 6.169993590925509e-06, + "loss": 0.9052, + "step": 27011 + }, + { + "epoch": 0.64, + "grad_norm": 1.7700123868666533, + "learning_rate": 6.169288744364084e-06, + "loss": 0.8099, + "step": 27012 + }, + { + "epoch": 0.64, + "grad_norm": 1.4804824587296095, + "learning_rate": 6.16858392010627e-06, + "loss": 0.8635, + "step": 27013 + }, + { + "epoch": 0.64, + "grad_norm": 1.6672325941067183, + "learning_rate": 6.167879118156179e-06, + "loss": 0.7488, + "step": 27014 + }, + { + "epoch": 0.64, + "grad_norm": 1.6405500536607396, + "learning_rate": 6.167174338517905e-06, + "loss": 0.8777, + "step": 27015 + }, + { + "epoch": 0.64, + "grad_norm": 1.6356268334636963, + "learning_rate": 6.166469581195558e-06, + "loss": 0.8173, + "step": 27016 + }, + { + "epoch": 0.64, + "grad_norm": 1.6128164089047379, + "learning_rate": 6.165764846193234e-06, + "loss": 0.8781, + "step": 27017 + }, + { + "epoch": 0.64, + "grad_norm": 2.229162097161136, + "learning_rate": 6.165060133515046e-06, + "loss": 0.8549, + "step": 27018 + }, + { + "epoch": 0.64, + "grad_norm": 1.693644405412758, + "learning_rate": 6.164355443165091e-06, + "loss": 0.9066, + "step": 27019 + }, + { + "epoch": 0.64, + "grad_norm": 1.550809320718554, + "learning_rate": 6.163650775147471e-06, + "loss": 0.9249, + "step": 27020 + }, + { + "epoch": 0.64, + "grad_norm": 1.5668859448699908, + "learning_rate": 6.162946129466295e-06, + "loss": 0.8354, + "step": 27021 + }, + { + "epoch": 0.64, + "grad_norm": 1.4506655734145721, + "learning_rate": 6.162241506125657e-06, + "loss": 0.7823, + "step": 27022 + }, + { + "epoch": 0.64, + "grad_norm": 1.5445930873555258, + "learning_rate": 6.161536905129666e-06, + "loss": 0.7651, + "step": 27023 + }, + { + "epoch": 0.64, + "grad_norm": 1.4659946088130364, + "learning_rate": 6.160832326482418e-06, + "loss": 0.9366, + "step": 27024 + }, + { + "epoch": 0.64, + "grad_norm": 1.6411775355194163, + "learning_rate": 6.160127770188029e-06, + "loss": 0.8189, + "step": 27025 + }, + { + "epoch": 0.64, + "grad_norm": 0.7220903117119425, + "learning_rate": 6.1594232362505835e-06, + "loss": 0.6802, + "step": 27026 + }, + { + "epoch": 0.64, + "grad_norm": 1.6057752925120692, + "learning_rate": 6.158718724674194e-06, + "loss": 0.9428, + "step": 27027 + }, + { + "epoch": 0.64, + "grad_norm": 1.505112729794294, + "learning_rate": 6.158014235462964e-06, + "loss": 0.6594, + "step": 27028 + }, + { + "epoch": 0.64, + "grad_norm": 1.7122298922516823, + "learning_rate": 6.157309768620987e-06, + "loss": 0.9509, + "step": 27029 + }, + { + "epoch": 0.64, + "grad_norm": 1.710153278836577, + "learning_rate": 6.156605324152369e-06, + "loss": 0.8691, + "step": 27030 + }, + { + "epoch": 0.64, + "grad_norm": 1.6418949112732604, + "learning_rate": 6.155900902061212e-06, + "loss": 0.8853, + "step": 27031 + }, + { + "epoch": 0.64, + "grad_norm": 1.5905319207894664, + "learning_rate": 6.155196502351621e-06, + "loss": 0.9153, + "step": 27032 + }, + { + "epoch": 0.64, + "grad_norm": 1.619532196273058, + "learning_rate": 6.154492125027688e-06, + "loss": 0.9331, + "step": 27033 + }, + { + "epoch": 0.64, + "grad_norm": 1.6871528369106246, + "learning_rate": 6.1537877700935215e-06, + "loss": 0.8805, + "step": 27034 + }, + { + "epoch": 0.64, + "grad_norm": 1.493773548199695, + "learning_rate": 6.153083437553222e-06, + "loss": 0.8176, + "step": 27035 + }, + { + "epoch": 0.64, + "grad_norm": 1.6370787984874118, + "learning_rate": 6.152379127410887e-06, + "loss": 0.9764, + "step": 27036 + }, + { + "epoch": 0.64, + "grad_norm": 1.5158559297244631, + "learning_rate": 6.151674839670616e-06, + "loss": 0.7884, + "step": 27037 + }, + { + "epoch": 0.64, + "grad_norm": 1.6883301605265189, + "learning_rate": 6.1509705743365154e-06, + "loss": 0.9331, + "step": 27038 + }, + { + "epoch": 0.64, + "grad_norm": 2.304061015824182, + "learning_rate": 6.150266331412684e-06, + "loss": 0.7282, + "step": 27039 + }, + { + "epoch": 0.64, + "grad_norm": 1.7505406233378602, + "learning_rate": 6.14956211090322e-06, + "loss": 0.8231, + "step": 27040 + }, + { + "epoch": 0.64, + "grad_norm": 1.8412247932446275, + "learning_rate": 6.148857912812222e-06, + "loss": 0.8671, + "step": 27041 + }, + { + "epoch": 0.64, + "grad_norm": 1.6431181384412334, + "learning_rate": 6.148153737143798e-06, + "loss": 0.859, + "step": 27042 + }, + { + "epoch": 0.64, + "grad_norm": 1.9574798933436135, + "learning_rate": 6.1474495839020365e-06, + "loss": 0.7834, + "step": 27043 + }, + { + "epoch": 0.64, + "grad_norm": 1.6120896488080576, + "learning_rate": 6.1467454530910454e-06, + "loss": 0.9062, + "step": 27044 + }, + { + "epoch": 0.64, + "grad_norm": 1.6545489093297543, + "learning_rate": 6.146041344714919e-06, + "loss": 0.8101, + "step": 27045 + }, + { + "epoch": 0.64, + "grad_norm": 1.4243984731676065, + "learning_rate": 6.145337258777766e-06, + "loss": 0.8615, + "step": 27046 + }, + { + "epoch": 0.64, + "grad_norm": 1.6826984241444516, + "learning_rate": 6.144633195283677e-06, + "loss": 0.9801, + "step": 27047 + }, + { + "epoch": 0.64, + "grad_norm": 1.5604495529664384, + "learning_rate": 6.1439291542367544e-06, + "loss": 0.7744, + "step": 27048 + }, + { + "epoch": 0.64, + "grad_norm": 1.5503158738103762, + "learning_rate": 6.143225135641097e-06, + "loss": 0.7386, + "step": 27049 + }, + { + "epoch": 0.64, + "grad_norm": 1.4296028413299964, + "learning_rate": 6.142521139500803e-06, + "loss": 0.756, + "step": 27050 + }, + { + "epoch": 0.64, + "grad_norm": 1.9386195983261065, + "learning_rate": 6.1418171658199725e-06, + "loss": 0.8238, + "step": 27051 + }, + { + "epoch": 0.64, + "grad_norm": 1.5442075882099338, + "learning_rate": 6.141113214602705e-06, + "loss": 0.827, + "step": 27052 + }, + { + "epoch": 0.64, + "grad_norm": 1.50637860287621, + "learning_rate": 6.1404092858531e-06, + "loss": 0.7863, + "step": 27053 + }, + { + "epoch": 0.64, + "grad_norm": 1.5185519111859374, + "learning_rate": 6.139705379575248e-06, + "loss": 0.8219, + "step": 27054 + }, + { + "epoch": 0.64, + "grad_norm": 1.6191059649235353, + "learning_rate": 6.139001495773258e-06, + "loss": 1.0114, + "step": 27055 + }, + { + "epoch": 0.64, + "grad_norm": 1.4489523113819998, + "learning_rate": 6.138297634451224e-06, + "loss": 0.7042, + "step": 27056 + }, + { + "epoch": 0.64, + "grad_norm": 1.53936924549941, + "learning_rate": 6.137593795613242e-06, + "loss": 0.8442, + "step": 27057 + }, + { + "epoch": 0.64, + "grad_norm": 1.7093740740839536, + "learning_rate": 6.136889979263409e-06, + "loss": 0.7968, + "step": 27058 + }, + { + "epoch": 0.64, + "grad_norm": 1.3751371378820232, + "learning_rate": 6.13618618540583e-06, + "loss": 0.7632, + "step": 27059 + }, + { + "epoch": 0.64, + "grad_norm": 1.6151588806557742, + "learning_rate": 6.135482414044598e-06, + "loss": 0.905, + "step": 27060 + }, + { + "epoch": 0.64, + "grad_norm": 1.5581246509046658, + "learning_rate": 6.1347786651838105e-06, + "loss": 0.938, + "step": 27061 + }, + { + "epoch": 0.64, + "grad_norm": 0.7844936954592021, + "learning_rate": 6.134074938827562e-06, + "loss": 0.7576, + "step": 27062 + }, + { + "epoch": 0.64, + "grad_norm": 1.724988343199283, + "learning_rate": 6.133371234979958e-06, + "loss": 0.8826, + "step": 27063 + }, + { + "epoch": 0.64, + "grad_norm": 1.9171668168283422, + "learning_rate": 6.1326675536450885e-06, + "loss": 0.9145, + "step": 27064 + }, + { + "epoch": 0.64, + "grad_norm": 1.5997083332068869, + "learning_rate": 6.1319638948270536e-06, + "loss": 0.8772, + "step": 27065 + }, + { + "epoch": 0.64, + "grad_norm": 1.512258024425231, + "learning_rate": 6.131260258529947e-06, + "loss": 0.9298, + "step": 27066 + }, + { + "epoch": 0.64, + "grad_norm": 1.6569641350655615, + "learning_rate": 6.130556644757871e-06, + "loss": 0.8033, + "step": 27067 + }, + { + "epoch": 0.64, + "grad_norm": 1.8951393757682666, + "learning_rate": 6.129853053514918e-06, + "loss": 1.0071, + "step": 27068 + }, + { + "epoch": 0.64, + "grad_norm": 1.7026790869205408, + "learning_rate": 6.129149484805183e-06, + "loss": 0.8958, + "step": 27069 + }, + { + "epoch": 0.64, + "grad_norm": 0.7753505178627185, + "learning_rate": 6.1284459386327735e-06, + "loss": 0.7081, + "step": 27070 + }, + { + "epoch": 0.64, + "grad_norm": 1.6019799807943391, + "learning_rate": 6.1277424150017695e-06, + "loss": 0.8502, + "step": 27071 + }, + { + "epoch": 0.64, + "grad_norm": 1.8738319243113897, + "learning_rate": 6.127038913916278e-06, + "loss": 0.9126, + "step": 27072 + }, + { + "epoch": 0.64, + "grad_norm": 1.5773113294310819, + "learning_rate": 6.12633543538039e-06, + "loss": 1.0635, + "step": 27073 + }, + { + "epoch": 0.64, + "grad_norm": 0.7297722992796751, + "learning_rate": 6.125631979398209e-06, + "loss": 0.6952, + "step": 27074 + }, + { + "epoch": 0.64, + "grad_norm": 1.5307612114164737, + "learning_rate": 6.124928545973819e-06, + "loss": 0.816, + "step": 27075 + }, + { + "epoch": 0.64, + "grad_norm": 1.8183018358725886, + "learning_rate": 6.124225135111325e-06, + "loss": 0.8475, + "step": 27076 + }, + { + "epoch": 0.64, + "grad_norm": 1.3716318192795554, + "learning_rate": 6.12352174681482e-06, + "loss": 0.7191, + "step": 27077 + }, + { + "epoch": 0.64, + "grad_norm": 1.8513399110566116, + "learning_rate": 6.122818381088398e-06, + "loss": 0.9204, + "step": 27078 + }, + { + "epoch": 0.64, + "grad_norm": 2.0892367909716234, + "learning_rate": 6.1221150379361514e-06, + "loss": 0.8265, + "step": 27079 + }, + { + "epoch": 0.64, + "grad_norm": 1.449537922326887, + "learning_rate": 6.1214117173621815e-06, + "loss": 0.7173, + "step": 27080 + }, + { + "epoch": 0.64, + "grad_norm": 1.4010923843897205, + "learning_rate": 6.120708419370583e-06, + "loss": 0.9277, + "step": 27081 + }, + { + "epoch": 0.64, + "grad_norm": 1.481351713119913, + "learning_rate": 6.120005143965443e-06, + "loss": 0.8762, + "step": 27082 + }, + { + "epoch": 0.64, + "grad_norm": 1.457925484443869, + "learning_rate": 6.1193018911508635e-06, + "loss": 0.718, + "step": 27083 + }, + { + "epoch": 0.64, + "grad_norm": 1.7531461179797354, + "learning_rate": 6.118598660930941e-06, + "loss": 0.8326, + "step": 27084 + }, + { + "epoch": 0.64, + "grad_norm": 1.532703775437012, + "learning_rate": 6.117895453309762e-06, + "loss": 0.8988, + "step": 27085 + }, + { + "epoch": 0.64, + "grad_norm": 1.50485232787722, + "learning_rate": 6.117192268291423e-06, + "loss": 0.7811, + "step": 27086 + }, + { + "epoch": 0.64, + "grad_norm": 3.3419331157255847, + "learning_rate": 6.116489105880023e-06, + "loss": 0.7265, + "step": 27087 + }, + { + "epoch": 0.64, + "grad_norm": 1.760969723364445, + "learning_rate": 6.115785966079653e-06, + "loss": 1.0059, + "step": 27088 + }, + { + "epoch": 0.64, + "grad_norm": 0.8257681583118861, + "learning_rate": 6.115082848894407e-06, + "loss": 0.7088, + "step": 27089 + }, + { + "epoch": 0.64, + "grad_norm": 1.5582932686791977, + "learning_rate": 6.114379754328375e-06, + "loss": 0.7891, + "step": 27090 + }, + { + "epoch": 0.64, + "grad_norm": 1.9995549190748563, + "learning_rate": 6.113676682385661e-06, + "loss": 0.7515, + "step": 27091 + }, + { + "epoch": 0.64, + "grad_norm": 0.7671007059840993, + "learning_rate": 6.112973633070346e-06, + "loss": 0.714, + "step": 27092 + }, + { + "epoch": 0.64, + "grad_norm": 1.5311144616681935, + "learning_rate": 6.11227060638653e-06, + "loss": 0.8428, + "step": 27093 + }, + { + "epoch": 0.64, + "grad_norm": 0.8156155102723143, + "learning_rate": 6.111567602338304e-06, + "loss": 0.7155, + "step": 27094 + }, + { + "epoch": 0.64, + "grad_norm": 1.9553834889441575, + "learning_rate": 6.110864620929766e-06, + "loss": 0.8344, + "step": 27095 + }, + { + "epoch": 0.64, + "grad_norm": 1.6984398550233946, + "learning_rate": 6.110161662165005e-06, + "loss": 0.8899, + "step": 27096 + }, + { + "epoch": 0.64, + "grad_norm": 1.7324876470737902, + "learning_rate": 6.109458726048113e-06, + "loss": 0.8269, + "step": 27097 + }, + { + "epoch": 0.64, + "grad_norm": 1.5587688435420635, + "learning_rate": 6.108755812583187e-06, + "loss": 0.8128, + "step": 27098 + }, + { + "epoch": 0.64, + "grad_norm": 1.4863598982732535, + "learning_rate": 6.108052921774312e-06, + "loss": 0.7081, + "step": 27099 + }, + { + "epoch": 0.64, + "grad_norm": 1.524395328618306, + "learning_rate": 6.107350053625587e-06, + "loss": 0.8595, + "step": 27100 + }, + { + "epoch": 0.64, + "grad_norm": 1.8099063724740838, + "learning_rate": 6.106647208141101e-06, + "loss": 0.9233, + "step": 27101 + }, + { + "epoch": 0.64, + "grad_norm": 1.5920971755731315, + "learning_rate": 6.105944385324951e-06, + "loss": 0.8733, + "step": 27102 + }, + { + "epoch": 0.64, + "grad_norm": 1.7697777113976236, + "learning_rate": 6.105241585181222e-06, + "loss": 0.8986, + "step": 27103 + }, + { + "epoch": 0.64, + "grad_norm": 1.6757174700101605, + "learning_rate": 6.104538807714011e-06, + "loss": 0.9222, + "step": 27104 + }, + { + "epoch": 0.64, + "grad_norm": 1.6107717639241024, + "learning_rate": 6.10383605292741e-06, + "loss": 0.8414, + "step": 27105 + }, + { + "epoch": 0.64, + "grad_norm": 1.719477210764102, + "learning_rate": 6.103133320825507e-06, + "loss": 0.9802, + "step": 27106 + }, + { + "epoch": 0.64, + "grad_norm": 1.67749360658398, + "learning_rate": 6.102430611412395e-06, + "loss": 0.8896, + "step": 27107 + }, + { + "epoch": 0.64, + "grad_norm": 1.8604630032024152, + "learning_rate": 6.101727924692167e-06, + "loss": 0.7117, + "step": 27108 + }, + { + "epoch": 0.64, + "grad_norm": 1.4757604925924843, + "learning_rate": 6.101025260668916e-06, + "loss": 0.8246, + "step": 27109 + }, + { + "epoch": 0.64, + "grad_norm": 1.6414572426028524, + "learning_rate": 6.100322619346726e-06, + "loss": 0.871, + "step": 27110 + }, + { + "epoch": 0.64, + "grad_norm": 1.424468229006639, + "learning_rate": 6.099620000729692e-06, + "loss": 0.8435, + "step": 27111 + }, + { + "epoch": 0.64, + "grad_norm": 0.752388106592846, + "learning_rate": 6.098917404821909e-06, + "loss": 0.7269, + "step": 27112 + }, + { + "epoch": 0.64, + "grad_norm": 1.559930850020242, + "learning_rate": 6.098214831627462e-06, + "loss": 0.8964, + "step": 27113 + }, + { + "epoch": 0.64, + "grad_norm": 1.5733225253322096, + "learning_rate": 6.097512281150444e-06, + "loss": 0.9148, + "step": 27114 + }, + { + "epoch": 0.64, + "grad_norm": 1.4865016322960636, + "learning_rate": 6.096809753394941e-06, + "loss": 0.8059, + "step": 27115 + }, + { + "epoch": 0.64, + "grad_norm": 1.932589869585635, + "learning_rate": 6.0961072483650526e-06, + "loss": 0.8191, + "step": 27116 + }, + { + "epoch": 0.64, + "grad_norm": 0.7554426901378727, + "learning_rate": 6.095404766064863e-06, + "loss": 0.7495, + "step": 27117 + }, + { + "epoch": 0.64, + "grad_norm": 1.5418373967169645, + "learning_rate": 6.094702306498459e-06, + "loss": 0.9104, + "step": 27118 + }, + { + "epoch": 0.64, + "grad_norm": 1.5667347711042916, + "learning_rate": 6.093999869669942e-06, + "loss": 0.8624, + "step": 27119 + }, + { + "epoch": 0.64, + "grad_norm": 2.239074023796353, + "learning_rate": 6.0932974555833875e-06, + "loss": 0.9307, + "step": 27120 + }, + { + "epoch": 0.64, + "grad_norm": 1.453874742010804, + "learning_rate": 6.092595064242894e-06, + "loss": 0.8239, + "step": 27121 + }, + { + "epoch": 0.64, + "grad_norm": 1.608041255204226, + "learning_rate": 6.091892695652548e-06, + "loss": 0.884, + "step": 27122 + }, + { + "epoch": 0.64, + "grad_norm": 1.648627006171199, + "learning_rate": 6.091190349816446e-06, + "loss": 0.7998, + "step": 27123 + }, + { + "epoch": 0.64, + "grad_norm": 1.5898549071412236, + "learning_rate": 6.090488026738666e-06, + "loss": 0.8999, + "step": 27124 + }, + { + "epoch": 0.64, + "grad_norm": 1.680687340082559, + "learning_rate": 6.089785726423303e-06, + "loss": 0.8604, + "step": 27125 + }, + { + "epoch": 0.64, + "grad_norm": 1.7035879559382512, + "learning_rate": 6.089083448874446e-06, + "loss": 0.831, + "step": 27126 + }, + { + "epoch": 0.64, + "grad_norm": 1.8743109439659356, + "learning_rate": 6.088381194096184e-06, + "loss": 0.8686, + "step": 27127 + }, + { + "epoch": 0.64, + "grad_norm": 0.7909193782473551, + "learning_rate": 6.087678962092603e-06, + "loss": 0.6449, + "step": 27128 + }, + { + "epoch": 0.64, + "grad_norm": 2.537639188660571, + "learning_rate": 6.0869767528677944e-06, + "loss": 0.7987, + "step": 27129 + }, + { + "epoch": 0.64, + "grad_norm": 1.5782190601314574, + "learning_rate": 6.086274566425848e-06, + "loss": 0.8197, + "step": 27130 + }, + { + "epoch": 0.64, + "grad_norm": 1.440081713376581, + "learning_rate": 6.085572402770848e-06, + "loss": 0.9167, + "step": 27131 + }, + { + "epoch": 0.64, + "grad_norm": 1.705424082951629, + "learning_rate": 6.084870261906883e-06, + "loss": 0.8463, + "step": 27132 + }, + { + "epoch": 0.64, + "grad_norm": 1.5273056600228494, + "learning_rate": 6.084168143838046e-06, + "loss": 1.0199, + "step": 27133 + }, + { + "epoch": 0.64, + "grad_norm": 1.6609442088424746, + "learning_rate": 6.083466048568423e-06, + "loss": 0.8847, + "step": 27134 + }, + { + "epoch": 0.64, + "grad_norm": 1.5749760476322332, + "learning_rate": 6.082763976102097e-06, + "loss": 0.8456, + "step": 27135 + }, + { + "epoch": 0.64, + "grad_norm": 1.6731053562837697, + "learning_rate": 6.082061926443162e-06, + "loss": 0.8776, + "step": 27136 + }, + { + "epoch": 0.64, + "grad_norm": 1.4258962936520518, + "learning_rate": 6.081359899595702e-06, + "loss": 0.8511, + "step": 27137 + }, + { + "epoch": 0.64, + "grad_norm": 1.5245744773646575, + "learning_rate": 6.080657895563807e-06, + "loss": 0.8755, + "step": 27138 + }, + { + "epoch": 0.64, + "grad_norm": 1.8711088076561246, + "learning_rate": 6.079955914351558e-06, + "loss": 0.9333, + "step": 27139 + }, + { + "epoch": 0.64, + "grad_norm": 1.769648036908114, + "learning_rate": 6.079253955963049e-06, + "loss": 0.8475, + "step": 27140 + }, + { + "epoch": 0.64, + "grad_norm": 1.673762439340451, + "learning_rate": 6.078552020402367e-06, + "loss": 0.8965, + "step": 27141 + }, + { + "epoch": 0.64, + "grad_norm": 0.7221733892461764, + "learning_rate": 6.0778501076735956e-06, + "loss": 0.6889, + "step": 27142 + }, + { + "epoch": 0.64, + "grad_norm": 1.5424203215283996, + "learning_rate": 6.077148217780818e-06, + "loss": 0.7574, + "step": 27143 + }, + { + "epoch": 0.64, + "grad_norm": 1.7759997910896712, + "learning_rate": 6.076446350728131e-06, + "loss": 0.898, + "step": 27144 + }, + { + "epoch": 0.64, + "grad_norm": 1.5494352224732497, + "learning_rate": 6.0757445065196145e-06, + "loss": 0.9352, + "step": 27145 + }, + { + "epoch": 0.64, + "grad_norm": 0.7446888739835619, + "learning_rate": 6.075042685159356e-06, + "loss": 0.6726, + "step": 27146 + }, + { + "epoch": 0.64, + "grad_norm": 1.5816466694455733, + "learning_rate": 6.074340886651438e-06, + "loss": 0.7339, + "step": 27147 + }, + { + "epoch": 0.64, + "grad_norm": 1.560112671985653, + "learning_rate": 6.073639110999955e-06, + "loss": 0.8719, + "step": 27148 + }, + { + "epoch": 0.64, + "grad_norm": 1.6188673763544792, + "learning_rate": 6.072937358208986e-06, + "loss": 0.8439, + "step": 27149 + }, + { + "epoch": 0.64, + "grad_norm": 0.8227555549977194, + "learning_rate": 6.072235628282619e-06, + "loss": 0.8044, + "step": 27150 + }, + { + "epoch": 0.64, + "grad_norm": 1.5232836763349622, + "learning_rate": 6.071533921224941e-06, + "loss": 0.8533, + "step": 27151 + }, + { + "epoch": 0.64, + "grad_norm": 1.4440530307835462, + "learning_rate": 6.0708322370400345e-06, + "loss": 0.7067, + "step": 27152 + }, + { + "epoch": 0.64, + "grad_norm": 1.7159449006818133, + "learning_rate": 6.0701305757319866e-06, + "loss": 0.8556, + "step": 27153 + }, + { + "epoch": 0.64, + "grad_norm": 1.6532753977304937, + "learning_rate": 6.069428937304883e-06, + "loss": 0.817, + "step": 27154 + }, + { + "epoch": 0.64, + "grad_norm": 1.5023531679607656, + "learning_rate": 6.06872732176281e-06, + "loss": 0.8468, + "step": 27155 + }, + { + "epoch": 0.64, + "grad_norm": 1.6777022720752701, + "learning_rate": 6.068025729109849e-06, + "loss": 0.811, + "step": 27156 + }, + { + "epoch": 0.64, + "grad_norm": 2.3535830311006265, + "learning_rate": 6.067324159350088e-06, + "loss": 0.7976, + "step": 27157 + }, + { + "epoch": 0.64, + "grad_norm": 1.7738514523233955, + "learning_rate": 6.066622612487611e-06, + "loss": 0.8161, + "step": 27158 + }, + { + "epoch": 0.64, + "grad_norm": 1.5435882974594315, + "learning_rate": 6.065921088526503e-06, + "loss": 0.7337, + "step": 27159 + }, + { + "epoch": 0.64, + "grad_norm": 0.8507391075433061, + "learning_rate": 6.065219587470845e-06, + "loss": 0.6833, + "step": 27160 + }, + { + "epoch": 0.64, + "grad_norm": 1.806886439901864, + "learning_rate": 6.064518109324727e-06, + "loss": 0.7146, + "step": 27161 + }, + { + "epoch": 0.64, + "grad_norm": 1.6409768800082039, + "learning_rate": 6.063816654092232e-06, + "loss": 0.8373, + "step": 27162 + }, + { + "epoch": 0.64, + "grad_norm": 2.7486917692449184, + "learning_rate": 6.06311522177744e-06, + "loss": 0.8888, + "step": 27163 + }, + { + "epoch": 0.64, + "grad_norm": 1.4482686011398542, + "learning_rate": 6.062413812384436e-06, + "loss": 0.9698, + "step": 27164 + }, + { + "epoch": 0.64, + "grad_norm": 1.5874972355784613, + "learning_rate": 6.06171242591731e-06, + "loss": 0.8939, + "step": 27165 + }, + { + "epoch": 0.64, + "grad_norm": 1.4383479600742022, + "learning_rate": 6.061011062380139e-06, + "loss": 0.8124, + "step": 27166 + }, + { + "epoch": 0.64, + "grad_norm": 1.665498509373428, + "learning_rate": 6.060309721777006e-06, + "loss": 0.8765, + "step": 27167 + }, + { + "epoch": 0.64, + "grad_norm": 0.807941421269025, + "learning_rate": 6.059608404111998e-06, + "loss": 0.7154, + "step": 27168 + }, + { + "epoch": 0.64, + "grad_norm": 1.6434505724540582, + "learning_rate": 6.058907109389202e-06, + "loss": 0.9498, + "step": 27169 + }, + { + "epoch": 0.64, + "grad_norm": 1.890716919980919, + "learning_rate": 6.058205837612694e-06, + "loss": 0.7817, + "step": 27170 + }, + { + "epoch": 0.64, + "grad_norm": 1.5985314197812388, + "learning_rate": 6.057504588786556e-06, + "loss": 0.8349, + "step": 27171 + }, + { + "epoch": 0.64, + "grad_norm": 1.4312922736072389, + "learning_rate": 6.0568033629148814e-06, + "loss": 0.8603, + "step": 27172 + }, + { + "epoch": 0.64, + "grad_norm": 1.8710841957803523, + "learning_rate": 6.05610216000174e-06, + "loss": 0.8924, + "step": 27173 + }, + { + "epoch": 0.64, + "grad_norm": 1.673406599150993, + "learning_rate": 6.055400980051223e-06, + "loss": 0.8766, + "step": 27174 + }, + { + "epoch": 0.64, + "grad_norm": 1.5821223569394434, + "learning_rate": 6.054699823067407e-06, + "loss": 0.8514, + "step": 27175 + }, + { + "epoch": 0.64, + "grad_norm": 1.5794327457685315, + "learning_rate": 6.053998689054384e-06, + "loss": 0.8148, + "step": 27176 + }, + { + "epoch": 0.64, + "grad_norm": 1.9458299073464869, + "learning_rate": 6.053297578016224e-06, + "loss": 0.6981, + "step": 27177 + }, + { + "epoch": 0.64, + "grad_norm": 2.5098637714983294, + "learning_rate": 6.052596489957017e-06, + "loss": 0.8175, + "step": 27178 + }, + { + "epoch": 0.64, + "grad_norm": 1.6122941904416557, + "learning_rate": 6.051895424880847e-06, + "loss": 0.8827, + "step": 27179 + }, + { + "epoch": 0.64, + "grad_norm": 1.7420763029340967, + "learning_rate": 6.051194382791785e-06, + "loss": 0.6609, + "step": 27180 + }, + { + "epoch": 0.64, + "grad_norm": 1.6428071706904337, + "learning_rate": 6.050493363693924e-06, + "loss": 0.669, + "step": 27181 + }, + { + "epoch": 0.64, + "grad_norm": 1.5860540661789353, + "learning_rate": 6.049792367591338e-06, + "loss": 0.8104, + "step": 27182 + }, + { + "epoch": 0.64, + "grad_norm": 1.4915414169103318, + "learning_rate": 6.049091394488116e-06, + "loss": 0.8401, + "step": 27183 + }, + { + "epoch": 0.64, + "grad_norm": 0.7842998312766909, + "learning_rate": 6.048390444388329e-06, + "loss": 0.7465, + "step": 27184 + }, + { + "epoch": 0.64, + "grad_norm": 1.6106260499246334, + "learning_rate": 6.047689517296067e-06, + "loss": 0.7902, + "step": 27185 + }, + { + "epoch": 0.64, + "grad_norm": 1.8832870554417651, + "learning_rate": 6.04698861321541e-06, + "loss": 0.8598, + "step": 27186 + }, + { + "epoch": 0.64, + "grad_norm": 1.5128142884274445, + "learning_rate": 6.046287732150433e-06, + "loss": 0.823, + "step": 27187 + }, + { + "epoch": 0.64, + "grad_norm": 1.9908971986148216, + "learning_rate": 6.045586874105221e-06, + "loss": 0.7947, + "step": 27188 + }, + { + "epoch": 0.64, + "grad_norm": 1.6818176083738, + "learning_rate": 6.044886039083855e-06, + "loss": 0.9508, + "step": 27189 + }, + { + "epoch": 0.64, + "grad_norm": 0.7858490200651796, + "learning_rate": 6.044185227090415e-06, + "loss": 0.75, + "step": 27190 + }, + { + "epoch": 0.64, + "grad_norm": 2.017013969217315, + "learning_rate": 6.0434844381289814e-06, + "loss": 1.0726, + "step": 27191 + }, + { + "epoch": 0.64, + "grad_norm": 2.87931566696833, + "learning_rate": 6.042783672203632e-06, + "loss": 0.7873, + "step": 27192 + }, + { + "epoch": 0.64, + "grad_norm": 1.507983308281021, + "learning_rate": 6.042082929318452e-06, + "loss": 0.8336, + "step": 27193 + }, + { + "epoch": 0.64, + "grad_norm": 1.6170743155831018, + "learning_rate": 6.041382209477516e-06, + "loss": 0.9104, + "step": 27194 + }, + { + "epoch": 0.64, + "grad_norm": 1.6055125986784362, + "learning_rate": 6.040681512684907e-06, + "loss": 0.8386, + "step": 27195 + }, + { + "epoch": 0.64, + "grad_norm": 1.5385223887536625, + "learning_rate": 6.039980838944701e-06, + "loss": 0.7747, + "step": 27196 + }, + { + "epoch": 0.64, + "grad_norm": 1.5753317811227394, + "learning_rate": 6.039280188260985e-06, + "loss": 0.8414, + "step": 27197 + }, + { + "epoch": 0.64, + "grad_norm": 1.6837754506592615, + "learning_rate": 6.0385795606378315e-06, + "loss": 0.8377, + "step": 27198 + }, + { + "epoch": 0.64, + "grad_norm": 1.5133714499671125, + "learning_rate": 6.037878956079322e-06, + "loss": 0.9578, + "step": 27199 + }, + { + "epoch": 0.64, + "grad_norm": 1.442700889859105, + "learning_rate": 6.037178374589536e-06, + "loss": 0.8508, + "step": 27200 + }, + { + "epoch": 0.64, + "grad_norm": 1.528436113234549, + "learning_rate": 6.0364778161725505e-06, + "loss": 0.7703, + "step": 27201 + }, + { + "epoch": 0.64, + "grad_norm": 0.7459713903157206, + "learning_rate": 6.035777280832447e-06, + "loss": 0.7093, + "step": 27202 + }, + { + "epoch": 0.64, + "grad_norm": 1.5291406918555621, + "learning_rate": 6.035076768573303e-06, + "loss": 0.924, + "step": 27203 + }, + { + "epoch": 0.64, + "grad_norm": 1.8408681785497203, + "learning_rate": 6.034376279399199e-06, + "loss": 0.7925, + "step": 27204 + }, + { + "epoch": 0.64, + "grad_norm": 1.5880868141784494, + "learning_rate": 6.033675813314208e-06, + "loss": 0.8546, + "step": 27205 + }, + { + "epoch": 0.64, + "grad_norm": 1.7791061278840663, + "learning_rate": 6.032975370322414e-06, + "loss": 0.8337, + "step": 27206 + }, + { + "epoch": 0.64, + "grad_norm": 1.9754665574129313, + "learning_rate": 6.032274950427896e-06, + "loss": 0.8984, + "step": 27207 + }, + { + "epoch": 0.64, + "grad_norm": 1.620816725933709, + "learning_rate": 6.031574553634727e-06, + "loss": 0.7891, + "step": 27208 + }, + { + "epoch": 0.64, + "grad_norm": 1.451087431633613, + "learning_rate": 6.030874179946986e-06, + "loss": 0.9607, + "step": 27209 + }, + { + "epoch": 0.64, + "grad_norm": 2.226868540609599, + "learning_rate": 6.0301738293687525e-06, + "loss": 0.8756, + "step": 27210 + }, + { + "epoch": 0.64, + "grad_norm": 1.7779939137947207, + "learning_rate": 6.029473501904108e-06, + "loss": 0.7929, + "step": 27211 + }, + { + "epoch": 0.64, + "grad_norm": 0.7666895048684107, + "learning_rate": 6.028773197557121e-06, + "loss": 0.7529, + "step": 27212 + }, + { + "epoch": 0.64, + "grad_norm": 1.6742764296727821, + "learning_rate": 6.028072916331874e-06, + "loss": 0.8513, + "step": 27213 + }, + { + "epoch": 0.64, + "grad_norm": 1.3737799253770764, + "learning_rate": 6.027372658232448e-06, + "loss": 0.8312, + "step": 27214 + }, + { + "epoch": 0.64, + "grad_norm": 1.649283283666066, + "learning_rate": 6.026672423262914e-06, + "loss": 0.8111, + "step": 27215 + }, + { + "epoch": 0.64, + "grad_norm": 1.7742434519448813, + "learning_rate": 6.025972211427346e-06, + "loss": 0.7847, + "step": 27216 + }, + { + "epoch": 0.64, + "grad_norm": 1.7282399028024336, + "learning_rate": 6.025272022729831e-06, + "loss": 0.8421, + "step": 27217 + }, + { + "epoch": 0.64, + "grad_norm": 1.7631885890116112, + "learning_rate": 6.024571857174443e-06, + "loss": 0.8102, + "step": 27218 + }, + { + "epoch": 0.64, + "grad_norm": 1.5350657361618727, + "learning_rate": 6.0238717147652525e-06, + "loss": 0.8708, + "step": 27219 + }, + { + "epoch": 0.64, + "grad_norm": 1.6200246632696944, + "learning_rate": 6.023171595506338e-06, + "loss": 0.8947, + "step": 27220 + }, + { + "epoch": 0.64, + "grad_norm": 1.602696603616684, + "learning_rate": 6.022471499401785e-06, + "loss": 0.7795, + "step": 27221 + }, + { + "epoch": 0.64, + "grad_norm": 1.5203338139255995, + "learning_rate": 6.021771426455656e-06, + "loss": 0.8972, + "step": 27222 + }, + { + "epoch": 0.64, + "grad_norm": 1.6091410687293024, + "learning_rate": 6.0210713766720344e-06, + "loss": 0.8021, + "step": 27223 + }, + { + "epoch": 0.64, + "grad_norm": 2.1363819381011266, + "learning_rate": 6.020371350054992e-06, + "loss": 0.9291, + "step": 27224 + }, + { + "epoch": 0.64, + "grad_norm": 1.5235413449455568, + "learning_rate": 6.019671346608615e-06, + "loss": 0.8849, + "step": 27225 + }, + { + "epoch": 0.64, + "grad_norm": 1.5612885709760034, + "learning_rate": 6.018971366336965e-06, + "loss": 0.7282, + "step": 27226 + }, + { + "epoch": 0.64, + "grad_norm": 1.5845520354152784, + "learning_rate": 6.018271409244127e-06, + "loss": 0.7649, + "step": 27227 + }, + { + "epoch": 0.64, + "grad_norm": 1.679537710972642, + "learning_rate": 6.017571475334174e-06, + "loss": 0.8906, + "step": 27228 + }, + { + "epoch": 0.64, + "grad_norm": 1.957905595357561, + "learning_rate": 6.016871564611177e-06, + "loss": 0.7698, + "step": 27229 + }, + { + "epoch": 0.64, + "grad_norm": 1.5897626622749523, + "learning_rate": 6.016171677079218e-06, + "loss": 0.9157, + "step": 27230 + }, + { + "epoch": 0.64, + "grad_norm": 1.8553903537269163, + "learning_rate": 6.0154718127423685e-06, + "loss": 0.8185, + "step": 27231 + }, + { + "epoch": 0.64, + "grad_norm": 1.7043949085122179, + "learning_rate": 6.014771971604705e-06, + "loss": 0.9115, + "step": 27232 + }, + { + "epoch": 0.64, + "grad_norm": 1.509592237295889, + "learning_rate": 6.014072153670296e-06, + "loss": 0.9457, + "step": 27233 + }, + { + "epoch": 0.64, + "grad_norm": 1.549727007461883, + "learning_rate": 6.0133723589432235e-06, + "loss": 0.8464, + "step": 27234 + }, + { + "epoch": 0.64, + "grad_norm": 1.455051267259223, + "learning_rate": 6.012672587427562e-06, + "loss": 0.8593, + "step": 27235 + }, + { + "epoch": 0.64, + "grad_norm": 1.5549604584597005, + "learning_rate": 6.01197283912738e-06, + "loss": 0.7788, + "step": 27236 + }, + { + "epoch": 0.64, + "grad_norm": 1.8433577783293082, + "learning_rate": 6.011273114046754e-06, + "loss": 0.9163, + "step": 27237 + }, + { + "epoch": 0.64, + "grad_norm": 1.8168140998174305, + "learning_rate": 6.010573412189759e-06, + "loss": 0.9932, + "step": 27238 + }, + { + "epoch": 0.64, + "grad_norm": 1.4610345103508033, + "learning_rate": 6.009873733560472e-06, + "loss": 0.8786, + "step": 27239 + }, + { + "epoch": 0.64, + "grad_norm": 1.8710943103333513, + "learning_rate": 6.00917407816296e-06, + "loss": 0.8231, + "step": 27240 + }, + { + "epoch": 0.64, + "grad_norm": 1.7284313947486571, + "learning_rate": 6.0084744460013e-06, + "loss": 0.9641, + "step": 27241 + }, + { + "epoch": 0.64, + "grad_norm": 1.7500971377078065, + "learning_rate": 6.007774837079567e-06, + "loss": 0.8764, + "step": 27242 + }, + { + "epoch": 0.64, + "grad_norm": 1.7011385163278556, + "learning_rate": 6.007075251401833e-06, + "loss": 0.8426, + "step": 27243 + }, + { + "epoch": 0.64, + "grad_norm": 1.7957729376907383, + "learning_rate": 6.00637568897217e-06, + "loss": 0.8331, + "step": 27244 + }, + { + "epoch": 0.64, + "grad_norm": 1.4664142239048459, + "learning_rate": 6.0056761497946505e-06, + "loss": 0.8489, + "step": 27245 + }, + { + "epoch": 0.64, + "grad_norm": 1.62597561226207, + "learning_rate": 6.004976633873354e-06, + "loss": 1.024, + "step": 27246 + }, + { + "epoch": 0.64, + "grad_norm": 1.884357053738744, + "learning_rate": 6.004277141212345e-06, + "loss": 0.8347, + "step": 27247 + }, + { + "epoch": 0.64, + "grad_norm": 1.5489986113209337, + "learning_rate": 6.003577671815699e-06, + "loss": 0.7808, + "step": 27248 + }, + { + "epoch": 0.64, + "grad_norm": 0.7794238858450984, + "learning_rate": 6.002878225687492e-06, + "loss": 0.6487, + "step": 27249 + }, + { + "epoch": 0.64, + "grad_norm": 2.076406415996193, + "learning_rate": 6.002178802831789e-06, + "loss": 0.8674, + "step": 27250 + }, + { + "epoch": 0.64, + "grad_norm": 0.7334682417530508, + "learning_rate": 6.001479403252669e-06, + "loss": 0.6906, + "step": 27251 + }, + { + "epoch": 0.64, + "grad_norm": 1.389076567575322, + "learning_rate": 6.000780026954199e-06, + "loss": 0.6915, + "step": 27252 + }, + { + "epoch": 0.64, + "grad_norm": 1.8650011622409233, + "learning_rate": 6.000080673940461e-06, + "loss": 0.8599, + "step": 27253 + }, + { + "epoch": 0.64, + "grad_norm": 1.8214192488690029, + "learning_rate": 5.999381344215514e-06, + "loss": 0.9794, + "step": 27254 + }, + { + "epoch": 0.64, + "grad_norm": 1.5146178489982187, + "learning_rate": 5.998682037783437e-06, + "loss": 0.842, + "step": 27255 + }, + { + "epoch": 0.64, + "grad_norm": 1.4634074709552707, + "learning_rate": 5.997982754648297e-06, + "loss": 0.9102, + "step": 27256 + }, + { + "epoch": 0.64, + "grad_norm": 1.5458025555417017, + "learning_rate": 5.997283494814175e-06, + "loss": 0.9185, + "step": 27257 + }, + { + "epoch": 0.64, + "grad_norm": 1.7296513955034862, + "learning_rate": 5.99658425828513e-06, + "loss": 0.8726, + "step": 27258 + }, + { + "epoch": 0.64, + "grad_norm": 0.7320118913966406, + "learning_rate": 5.99588504506524e-06, + "loss": 0.6635, + "step": 27259 + }, + { + "epoch": 0.64, + "grad_norm": 1.5310832130341099, + "learning_rate": 5.995185855158577e-06, + "loss": 0.9442, + "step": 27260 + }, + { + "epoch": 0.64, + "grad_norm": 1.7026663484619422, + "learning_rate": 5.994486688569209e-06, + "loss": 0.8585, + "step": 27261 + }, + { + "epoch": 0.64, + "grad_norm": 0.7819465501470441, + "learning_rate": 5.993787545301204e-06, + "loss": 0.7124, + "step": 27262 + }, + { + "epoch": 0.64, + "grad_norm": 1.6626983299808282, + "learning_rate": 5.99308842535864e-06, + "loss": 0.9585, + "step": 27263 + }, + { + "epoch": 0.64, + "grad_norm": 1.6933215877085344, + "learning_rate": 5.9923893287455845e-06, + "loss": 0.8165, + "step": 27264 + }, + { + "epoch": 0.64, + "grad_norm": 0.7840121404107098, + "learning_rate": 5.991690255466105e-06, + "loss": 0.6787, + "step": 27265 + }, + { + "epoch": 0.64, + "grad_norm": 3.125788146204356, + "learning_rate": 5.990991205524274e-06, + "loss": 0.8723, + "step": 27266 + }, + { + "epoch": 0.64, + "grad_norm": 1.7142125347918453, + "learning_rate": 5.990292178924164e-06, + "loss": 0.9194, + "step": 27267 + }, + { + "epoch": 0.64, + "grad_norm": 2.508334504848625, + "learning_rate": 5.98959317566984e-06, + "loss": 0.8875, + "step": 27268 + }, + { + "epoch": 0.64, + "grad_norm": 1.5501718686143817, + "learning_rate": 5.988894195765372e-06, + "loss": 0.8024, + "step": 27269 + }, + { + "epoch": 0.64, + "grad_norm": 1.714422625622733, + "learning_rate": 5.988195239214835e-06, + "loss": 0.9022, + "step": 27270 + }, + { + "epoch": 0.64, + "grad_norm": 1.5126860355030547, + "learning_rate": 5.987496306022297e-06, + "loss": 0.7395, + "step": 27271 + }, + { + "epoch": 0.64, + "grad_norm": 1.4335738304197139, + "learning_rate": 5.986797396191824e-06, + "loss": 0.7667, + "step": 27272 + }, + { + "epoch": 0.64, + "grad_norm": 1.644738403390401, + "learning_rate": 5.986098509727485e-06, + "loss": 0.7476, + "step": 27273 + }, + { + "epoch": 0.64, + "grad_norm": 0.785073769482686, + "learning_rate": 5.985399646633356e-06, + "loss": 0.7694, + "step": 27274 + }, + { + "epoch": 0.64, + "grad_norm": 1.6098056885741248, + "learning_rate": 5.984700806913497e-06, + "loss": 0.8392, + "step": 27275 + }, + { + "epoch": 0.64, + "grad_norm": 1.6017846325965843, + "learning_rate": 5.9840019905719815e-06, + "loss": 0.8733, + "step": 27276 + }, + { + "epoch": 0.64, + "grad_norm": 2.1575646881530957, + "learning_rate": 5.983303197612878e-06, + "loss": 0.8826, + "step": 27277 + }, + { + "epoch": 0.64, + "grad_norm": 1.886874792456181, + "learning_rate": 5.9826044280402574e-06, + "loss": 0.8222, + "step": 27278 + }, + { + "epoch": 0.64, + "grad_norm": 1.5751043273729342, + "learning_rate": 5.981905681858184e-06, + "loss": 0.8876, + "step": 27279 + }, + { + "epoch": 0.64, + "grad_norm": 1.6361478915902312, + "learning_rate": 5.981206959070728e-06, + "loss": 0.8939, + "step": 27280 + }, + { + "epoch": 0.64, + "grad_norm": 1.5539672692076145, + "learning_rate": 5.980508259681958e-06, + "loss": 0.776, + "step": 27281 + }, + { + "epoch": 0.64, + "grad_norm": 1.4479747275131087, + "learning_rate": 5.9798095836959405e-06, + "loss": 0.8555, + "step": 27282 + }, + { + "epoch": 0.64, + "grad_norm": 1.563296415064575, + "learning_rate": 5.979110931116744e-06, + "loss": 0.8399, + "step": 27283 + }, + { + "epoch": 0.64, + "grad_norm": 1.545987766956818, + "learning_rate": 5.978412301948438e-06, + "loss": 0.8827, + "step": 27284 + }, + { + "epoch": 0.64, + "grad_norm": 1.6232793776441636, + "learning_rate": 5.977713696195089e-06, + "loss": 0.8526, + "step": 27285 + }, + { + "epoch": 0.64, + "grad_norm": 1.9117473730797625, + "learning_rate": 5.977015113860762e-06, + "loss": 0.8786, + "step": 27286 + }, + { + "epoch": 0.64, + "grad_norm": 1.779609071674085, + "learning_rate": 5.9763165549495286e-06, + "loss": 0.8276, + "step": 27287 + }, + { + "epoch": 0.64, + "grad_norm": 2.1507765952245728, + "learning_rate": 5.975618019465454e-06, + "loss": 0.8507, + "step": 27288 + }, + { + "epoch": 0.64, + "grad_norm": 1.6151221370678843, + "learning_rate": 5.974919507412607e-06, + "loss": 0.8941, + "step": 27289 + }, + { + "epoch": 0.64, + "grad_norm": 1.645615112148415, + "learning_rate": 5.974221018795048e-06, + "loss": 0.8282, + "step": 27290 + }, + { + "epoch": 0.64, + "grad_norm": 1.6718823746136706, + "learning_rate": 5.9735225536168505e-06, + "loss": 0.7762, + "step": 27291 + }, + { + "epoch": 0.64, + "grad_norm": 1.7346552669889288, + "learning_rate": 5.972824111882083e-06, + "loss": 0.8125, + "step": 27292 + }, + { + "epoch": 0.64, + "grad_norm": 1.5422303150548016, + "learning_rate": 5.972125693594806e-06, + "loss": 0.7873, + "step": 27293 + }, + { + "epoch": 0.64, + "grad_norm": 0.7689758969948137, + "learning_rate": 5.971427298759087e-06, + "loss": 0.6904, + "step": 27294 + }, + { + "epoch": 0.64, + "grad_norm": 1.7816579433707695, + "learning_rate": 5.970728927378997e-06, + "loss": 0.864, + "step": 27295 + }, + { + "epoch": 0.64, + "grad_norm": 1.5765668663325019, + "learning_rate": 5.970030579458597e-06, + "loss": 0.8792, + "step": 27296 + }, + { + "epoch": 0.64, + "grad_norm": 1.658877669728995, + "learning_rate": 5.969332255001955e-06, + "loss": 0.8728, + "step": 27297 + }, + { + "epoch": 0.64, + "grad_norm": 1.4906232813937326, + "learning_rate": 5.968633954013134e-06, + "loss": 0.7527, + "step": 27298 + }, + { + "epoch": 0.64, + "grad_norm": 1.7024456069181437, + "learning_rate": 5.967935676496208e-06, + "loss": 0.7938, + "step": 27299 + }, + { + "epoch": 0.64, + "grad_norm": 1.5646229551989845, + "learning_rate": 5.967237422455234e-06, + "loss": 0.9334, + "step": 27300 + }, + { + "epoch": 0.64, + "grad_norm": 2.246642006376361, + "learning_rate": 5.966539191894279e-06, + "loss": 0.7824, + "step": 27301 + }, + { + "epoch": 0.64, + "grad_norm": 1.552547609370124, + "learning_rate": 5.965840984817415e-06, + "loss": 0.8763, + "step": 27302 + }, + { + "epoch": 0.64, + "grad_norm": 1.6404011601176787, + "learning_rate": 5.965142801228696e-06, + "loss": 0.8725, + "step": 27303 + }, + { + "epoch": 0.64, + "grad_norm": 1.775211455331118, + "learning_rate": 5.964444641132194e-06, + "loss": 0.8435, + "step": 27304 + }, + { + "epoch": 0.64, + "grad_norm": 1.680214140428375, + "learning_rate": 5.9637465045319734e-06, + "loss": 0.8624, + "step": 27305 + }, + { + "epoch": 0.64, + "grad_norm": 1.8409336387852073, + "learning_rate": 5.963048391432102e-06, + "loss": 0.7532, + "step": 27306 + }, + { + "epoch": 0.64, + "grad_norm": 1.6798659766959871, + "learning_rate": 5.962350301836637e-06, + "loss": 0.9484, + "step": 27307 + }, + { + "epoch": 0.64, + "grad_norm": 1.8515013006740615, + "learning_rate": 5.961652235749648e-06, + "loss": 0.8984, + "step": 27308 + }, + { + "epoch": 0.64, + "grad_norm": 0.8078563304339013, + "learning_rate": 5.9609541931752015e-06, + "loss": 0.7192, + "step": 27309 + }, + { + "epoch": 0.64, + "grad_norm": 1.57119858826838, + "learning_rate": 5.960256174117355e-06, + "loss": 0.7271, + "step": 27310 + }, + { + "epoch": 0.64, + "grad_norm": 1.4840022500993826, + "learning_rate": 5.959558178580174e-06, + "loss": 0.7525, + "step": 27311 + }, + { + "epoch": 0.64, + "grad_norm": 0.7418163635074062, + "learning_rate": 5.958860206567727e-06, + "loss": 0.7221, + "step": 27312 + }, + { + "epoch": 0.64, + "grad_norm": 1.7560391994030797, + "learning_rate": 5.958162258084077e-06, + "loss": 0.6925, + "step": 27313 + }, + { + "epoch": 0.64, + "grad_norm": 1.5719425358137633, + "learning_rate": 5.957464333133282e-06, + "loss": 0.9577, + "step": 27314 + }, + { + "epoch": 0.64, + "grad_norm": 2.077909433383316, + "learning_rate": 5.9567664317194115e-06, + "loss": 0.7715, + "step": 27315 + }, + { + "epoch": 0.64, + "grad_norm": 0.7759975472954009, + "learning_rate": 5.956068553846528e-06, + "loss": 0.6941, + "step": 27316 + }, + { + "epoch": 0.64, + "grad_norm": 1.9059447548164723, + "learning_rate": 5.955370699518694e-06, + "loss": 0.8798, + "step": 27317 + }, + { + "epoch": 0.64, + "grad_norm": 1.8640507389597496, + "learning_rate": 5.954672868739968e-06, + "loss": 0.8175, + "step": 27318 + }, + { + "epoch": 0.64, + "grad_norm": 1.4462038046584682, + "learning_rate": 5.95397506151442e-06, + "loss": 0.8275, + "step": 27319 + }, + { + "epoch": 0.64, + "grad_norm": 1.7018010689310898, + "learning_rate": 5.953277277846112e-06, + "loss": 0.7751, + "step": 27320 + }, + { + "epoch": 0.64, + "grad_norm": 1.618905684479937, + "learning_rate": 5.952579517739103e-06, + "loss": 0.7882, + "step": 27321 + }, + { + "epoch": 0.64, + "grad_norm": 1.6058405512498948, + "learning_rate": 5.951881781197456e-06, + "loss": 0.7951, + "step": 27322 + }, + { + "epoch": 0.64, + "grad_norm": 1.8305544431501035, + "learning_rate": 5.95118406822524e-06, + "loss": 0.8201, + "step": 27323 + }, + { + "epoch": 0.64, + "grad_norm": 1.6952056298467553, + "learning_rate": 5.950486378826508e-06, + "loss": 0.9775, + "step": 27324 + }, + { + "epoch": 0.64, + "grad_norm": 1.5965845095340305, + "learning_rate": 5.949788713005326e-06, + "loss": 0.7229, + "step": 27325 + }, + { + "epoch": 0.64, + "grad_norm": 1.4793551236145221, + "learning_rate": 5.949091070765755e-06, + "loss": 0.9531, + "step": 27326 + }, + { + "epoch": 0.64, + "grad_norm": 0.7867615341937644, + "learning_rate": 5.948393452111863e-06, + "loss": 0.6018, + "step": 27327 + }, + { + "epoch": 0.64, + "grad_norm": 1.6476274354213936, + "learning_rate": 5.9476958570477036e-06, + "loss": 0.7131, + "step": 27328 + }, + { + "epoch": 0.64, + "grad_norm": 1.5053685040487237, + "learning_rate": 5.946998285577343e-06, + "loss": 0.7299, + "step": 27329 + }, + { + "epoch": 0.64, + "grad_norm": 1.7208626177433333, + "learning_rate": 5.946300737704845e-06, + "loss": 0.8424, + "step": 27330 + }, + { + "epoch": 0.64, + "grad_norm": 1.5559536514471173, + "learning_rate": 5.945603213434261e-06, + "loss": 0.9303, + "step": 27331 + }, + { + "epoch": 0.64, + "grad_norm": 1.513049281675913, + "learning_rate": 5.9449057127696616e-06, + "loss": 0.8968, + "step": 27332 + }, + { + "epoch": 0.64, + "grad_norm": 1.6619848855645782, + "learning_rate": 5.944208235715105e-06, + "loss": 0.749, + "step": 27333 + }, + { + "epoch": 0.64, + "grad_norm": 1.6407564894601177, + "learning_rate": 5.943510782274655e-06, + "loss": 0.7745, + "step": 27334 + }, + { + "epoch": 0.64, + "grad_norm": 1.5036743047320023, + "learning_rate": 5.942813352452365e-06, + "loss": 0.9003, + "step": 27335 + }, + { + "epoch": 0.64, + "grad_norm": 2.0848384712889376, + "learning_rate": 5.9421159462523e-06, + "loss": 0.8586, + "step": 27336 + }, + { + "epoch": 0.64, + "grad_norm": 1.914847213137379, + "learning_rate": 5.941418563678525e-06, + "loss": 0.9034, + "step": 27337 + }, + { + "epoch": 0.64, + "grad_norm": 1.5331628356031746, + "learning_rate": 5.940721204735094e-06, + "loss": 0.9005, + "step": 27338 + }, + { + "epoch": 0.64, + "grad_norm": 1.6260156487157351, + "learning_rate": 5.940023869426067e-06, + "loss": 0.806, + "step": 27339 + }, + { + "epoch": 0.64, + "grad_norm": 1.7394840050825455, + "learning_rate": 5.939326557755508e-06, + "loss": 0.8936, + "step": 27340 + }, + { + "epoch": 0.64, + "grad_norm": 1.8953153244657042, + "learning_rate": 5.938629269727477e-06, + "loss": 0.806, + "step": 27341 + }, + { + "epoch": 0.64, + "grad_norm": 1.6585854318421307, + "learning_rate": 5.937932005346031e-06, + "loss": 0.9311, + "step": 27342 + }, + { + "epoch": 0.64, + "grad_norm": 1.5794220590952124, + "learning_rate": 5.93723476461523e-06, + "loss": 0.8952, + "step": 27343 + }, + { + "epoch": 0.64, + "grad_norm": 1.6479674577233516, + "learning_rate": 5.936537547539136e-06, + "loss": 0.794, + "step": 27344 + }, + { + "epoch": 0.64, + "grad_norm": 0.7517661200601332, + "learning_rate": 5.9358403541218055e-06, + "loss": 0.683, + "step": 27345 + }, + { + "epoch": 0.64, + "grad_norm": 1.6369936546710515, + "learning_rate": 5.9351431843673e-06, + "loss": 0.7579, + "step": 27346 + }, + { + "epoch": 0.64, + "grad_norm": 1.4890362961173502, + "learning_rate": 5.934446038279676e-06, + "loss": 0.8688, + "step": 27347 + }, + { + "epoch": 0.64, + "grad_norm": 1.7028732346804976, + "learning_rate": 5.933748915862997e-06, + "loss": 0.8889, + "step": 27348 + }, + { + "epoch": 0.64, + "grad_norm": 1.5467183486908884, + "learning_rate": 5.933051817121318e-06, + "loss": 0.7992, + "step": 27349 + }, + { + "epoch": 0.64, + "grad_norm": 1.6225565774866617, + "learning_rate": 5.9323547420586965e-06, + "loss": 0.8244, + "step": 27350 + }, + { + "epoch": 0.64, + "grad_norm": 1.7675812149547736, + "learning_rate": 5.9316576906792e-06, + "loss": 0.8207, + "step": 27351 + }, + { + "epoch": 0.64, + "grad_norm": 1.618397262879812, + "learning_rate": 5.930960662986873e-06, + "loss": 0.8901, + "step": 27352 + }, + { + "epoch": 0.64, + "grad_norm": 1.4037217675392433, + "learning_rate": 5.930263658985785e-06, + "loss": 0.8674, + "step": 27353 + }, + { + "epoch": 0.64, + "grad_norm": 1.4667506773790566, + "learning_rate": 5.9295666786799874e-06, + "loss": 0.8833, + "step": 27354 + }, + { + "epoch": 0.64, + "grad_norm": 1.9759583583281024, + "learning_rate": 5.928869722073549e-06, + "loss": 0.8032, + "step": 27355 + }, + { + "epoch": 0.64, + "grad_norm": 1.6356293399159878, + "learning_rate": 5.928172789170512e-06, + "loss": 0.8545, + "step": 27356 + }, + { + "epoch": 0.64, + "grad_norm": 0.7772192688738755, + "learning_rate": 5.927475879974946e-06, + "loss": 0.7479, + "step": 27357 + }, + { + "epoch": 0.64, + "grad_norm": 1.6622314967186054, + "learning_rate": 5.926778994490905e-06, + "loss": 0.937, + "step": 27358 + }, + { + "epoch": 0.64, + "grad_norm": 1.5960867884102963, + "learning_rate": 5.926082132722445e-06, + "loss": 0.8812, + "step": 27359 + }, + { + "epoch": 0.64, + "grad_norm": 2.1352490982365295, + "learning_rate": 5.925385294673623e-06, + "loss": 0.9081, + "step": 27360 + }, + { + "epoch": 0.64, + "grad_norm": 1.590934954811551, + "learning_rate": 5.924688480348498e-06, + "loss": 0.9942, + "step": 27361 + }, + { + "epoch": 0.64, + "grad_norm": 1.5605630624819884, + "learning_rate": 5.92399168975113e-06, + "loss": 0.8492, + "step": 27362 + }, + { + "epoch": 0.64, + "grad_norm": 1.5661191783902113, + "learning_rate": 5.923294922885569e-06, + "loss": 0.8004, + "step": 27363 + }, + { + "epoch": 0.64, + "grad_norm": 1.5365619571526323, + "learning_rate": 5.922598179755879e-06, + "loss": 0.8069, + "step": 27364 + }, + { + "epoch": 0.64, + "grad_norm": 1.7968449454184752, + "learning_rate": 5.921901460366113e-06, + "loss": 0.8579, + "step": 27365 + }, + { + "epoch": 0.64, + "grad_norm": 1.536022810140892, + "learning_rate": 5.921204764720327e-06, + "loss": 0.8194, + "step": 27366 + }, + { + "epoch": 0.64, + "grad_norm": 1.6101358926879035, + "learning_rate": 5.920508092822575e-06, + "loss": 0.7839, + "step": 27367 + }, + { + "epoch": 0.64, + "grad_norm": 0.8090965417393556, + "learning_rate": 5.919811444676919e-06, + "loss": 0.7388, + "step": 27368 + }, + { + "epoch": 0.64, + "grad_norm": 0.789473952690968, + "learning_rate": 5.919114820287416e-06, + "loss": 0.753, + "step": 27369 + }, + { + "epoch": 0.64, + "grad_norm": 1.9089833450852474, + "learning_rate": 5.918418219658115e-06, + "loss": 0.8901, + "step": 27370 + }, + { + "epoch": 0.64, + "grad_norm": 1.6224932828388443, + "learning_rate": 5.917721642793074e-06, + "loss": 0.8431, + "step": 27371 + }, + { + "epoch": 0.64, + "grad_norm": 1.620322345086822, + "learning_rate": 5.917025089696355e-06, + "loss": 0.8366, + "step": 27372 + }, + { + "epoch": 0.64, + "grad_norm": 1.807783099010661, + "learning_rate": 5.916328560372004e-06, + "loss": 0.9314, + "step": 27373 + }, + { + "epoch": 0.64, + "grad_norm": 1.7488946639631644, + "learning_rate": 5.915632054824083e-06, + "loss": 0.7684, + "step": 27374 + }, + { + "epoch": 0.64, + "grad_norm": 1.6797111322090612, + "learning_rate": 5.914935573056641e-06, + "loss": 0.7176, + "step": 27375 + }, + { + "epoch": 0.64, + "grad_norm": 0.7714771287387653, + "learning_rate": 5.914239115073743e-06, + "loss": 0.6832, + "step": 27376 + }, + { + "epoch": 0.64, + "grad_norm": 1.6837614971180461, + "learning_rate": 5.913542680879437e-06, + "loss": 0.9481, + "step": 27377 + }, + { + "epoch": 0.65, + "grad_norm": 0.7941702987316189, + "learning_rate": 5.912846270477779e-06, + "loss": 0.731, + "step": 27378 + }, + { + "epoch": 0.65, + "grad_norm": 1.611734279339704, + "learning_rate": 5.912149883872822e-06, + "loss": 0.8103, + "step": 27379 + }, + { + "epoch": 0.65, + "grad_norm": 1.5312973858717138, + "learning_rate": 5.911453521068626e-06, + "loss": 0.8314, + "step": 27380 + }, + { + "epoch": 0.65, + "grad_norm": 0.7756329317997275, + "learning_rate": 5.91075718206924e-06, + "loss": 0.7668, + "step": 27381 + }, + { + "epoch": 0.65, + "grad_norm": 1.4979743776394632, + "learning_rate": 5.910060866878719e-06, + "loss": 0.8692, + "step": 27382 + }, + { + "epoch": 0.65, + "grad_norm": 1.6596616528727, + "learning_rate": 5.909364575501123e-06, + "loss": 0.8499, + "step": 27383 + }, + { + "epoch": 0.65, + "grad_norm": 1.7840338969831597, + "learning_rate": 5.908668307940497e-06, + "loss": 0.8849, + "step": 27384 + }, + { + "epoch": 0.65, + "grad_norm": 1.6428189826450093, + "learning_rate": 5.9079720642009004e-06, + "loss": 0.9166, + "step": 27385 + }, + { + "epoch": 0.65, + "grad_norm": 1.7774228075805614, + "learning_rate": 5.907275844286386e-06, + "loss": 0.8518, + "step": 27386 + }, + { + "epoch": 0.65, + "grad_norm": 1.709228915497965, + "learning_rate": 5.9065796482010104e-06, + "loss": 0.8683, + "step": 27387 + }, + { + "epoch": 0.65, + "grad_norm": 1.7417459808485576, + "learning_rate": 5.905883475948819e-06, + "loss": 0.7941, + "step": 27388 + }, + { + "epoch": 0.65, + "grad_norm": 1.5626607838994873, + "learning_rate": 5.905187327533873e-06, + "loss": 0.8945, + "step": 27389 + }, + { + "epoch": 0.65, + "grad_norm": 1.7276045689359025, + "learning_rate": 5.904491202960225e-06, + "loss": 0.8648, + "step": 27390 + }, + { + "epoch": 0.65, + "grad_norm": 1.55578193933364, + "learning_rate": 5.903795102231923e-06, + "loss": 0.9234, + "step": 27391 + }, + { + "epoch": 0.65, + "grad_norm": 1.6055393055204132, + "learning_rate": 5.903099025353021e-06, + "loss": 0.8233, + "step": 27392 + }, + { + "epoch": 0.65, + "grad_norm": 1.5717041574671875, + "learning_rate": 5.902402972327575e-06, + "loss": 0.7808, + "step": 27393 + }, + { + "epoch": 0.65, + "grad_norm": 3.5781033521261816, + "learning_rate": 5.9017069431596395e-06, + "loss": 0.8978, + "step": 27394 + }, + { + "epoch": 0.65, + "grad_norm": 1.5742886356157777, + "learning_rate": 5.901010937853261e-06, + "loss": 0.8116, + "step": 27395 + }, + { + "epoch": 0.65, + "grad_norm": 0.7664917595397, + "learning_rate": 5.900314956412492e-06, + "loss": 0.7239, + "step": 27396 + }, + { + "epoch": 0.65, + "grad_norm": 1.546086916963691, + "learning_rate": 5.8996189988413925e-06, + "loss": 0.7484, + "step": 27397 + }, + { + "epoch": 0.65, + "grad_norm": 1.661294470809465, + "learning_rate": 5.898923065144006e-06, + "loss": 0.9214, + "step": 27398 + }, + { + "epoch": 0.65, + "grad_norm": 1.4575879445944915, + "learning_rate": 5.8982271553243866e-06, + "loss": 0.8434, + "step": 27399 + }, + { + "epoch": 0.65, + "grad_norm": 1.4844342004662634, + "learning_rate": 5.89753126938659e-06, + "loss": 0.9185, + "step": 27400 + }, + { + "epoch": 0.65, + "grad_norm": 1.5357952478343404, + "learning_rate": 5.896835407334665e-06, + "loss": 0.9235, + "step": 27401 + }, + { + "epoch": 0.65, + "grad_norm": 2.1851819504116663, + "learning_rate": 5.8961395691726635e-06, + "loss": 0.7241, + "step": 27402 + }, + { + "epoch": 0.65, + "grad_norm": 1.863487274122943, + "learning_rate": 5.8954437549046325e-06, + "loss": 0.766, + "step": 27403 + }, + { + "epoch": 0.65, + "grad_norm": 0.7479080204849384, + "learning_rate": 5.894747964534635e-06, + "loss": 0.7041, + "step": 27404 + }, + { + "epoch": 0.65, + "grad_norm": 1.8135017702589027, + "learning_rate": 5.8940521980667086e-06, + "loss": 0.8463, + "step": 27405 + }, + { + "epoch": 0.65, + "grad_norm": 2.220185112630899, + "learning_rate": 5.893356455504911e-06, + "loss": 0.7628, + "step": 27406 + }, + { + "epoch": 0.65, + "grad_norm": 5.009800164854692, + "learning_rate": 5.892660736853291e-06, + "loss": 0.9597, + "step": 27407 + }, + { + "epoch": 0.65, + "grad_norm": 1.5953009338686739, + "learning_rate": 5.891965042115907e-06, + "loss": 1.0133, + "step": 27408 + }, + { + "epoch": 0.65, + "grad_norm": 1.62403152312054, + "learning_rate": 5.891269371296798e-06, + "loss": 0.8933, + "step": 27409 + }, + { + "epoch": 0.65, + "grad_norm": 1.7526235497246356, + "learning_rate": 5.89057372440002e-06, + "loss": 0.9112, + "step": 27410 + }, + { + "epoch": 0.65, + "grad_norm": 1.6859231568007313, + "learning_rate": 5.889878101429624e-06, + "loss": 0.8297, + "step": 27411 + }, + { + "epoch": 0.65, + "grad_norm": 1.7873943333575777, + "learning_rate": 5.889182502389657e-06, + "loss": 0.9329, + "step": 27412 + }, + { + "epoch": 0.65, + "grad_norm": 1.585058623784777, + "learning_rate": 5.88848692728417e-06, + "loss": 0.8177, + "step": 27413 + }, + { + "epoch": 0.65, + "grad_norm": 1.5203326694003285, + "learning_rate": 5.887791376117216e-06, + "loss": 0.8177, + "step": 27414 + }, + { + "epoch": 0.65, + "grad_norm": 1.4442183034267846, + "learning_rate": 5.887095848892846e-06, + "loss": 0.844, + "step": 27415 + }, + { + "epoch": 0.65, + "grad_norm": 1.7317937127537408, + "learning_rate": 5.886400345615098e-06, + "loss": 0.8958, + "step": 27416 + }, + { + "epoch": 0.65, + "grad_norm": 0.7797187511983301, + "learning_rate": 5.885704866288034e-06, + "loss": 0.7448, + "step": 27417 + }, + { + "epoch": 0.65, + "grad_norm": 1.6895095339113275, + "learning_rate": 5.885009410915701e-06, + "loss": 0.8501, + "step": 27418 + }, + { + "epoch": 0.65, + "grad_norm": 1.4134267769437452, + "learning_rate": 5.8843139795021446e-06, + "loss": 0.8911, + "step": 27419 + }, + { + "epoch": 0.65, + "grad_norm": 0.7735967968017738, + "learning_rate": 5.883618572051411e-06, + "loss": 0.7687, + "step": 27420 + }, + { + "epoch": 0.65, + "grad_norm": 1.7017708083589858, + "learning_rate": 5.882923188567558e-06, + "loss": 0.6927, + "step": 27421 + }, + { + "epoch": 0.65, + "grad_norm": 1.7172660570496678, + "learning_rate": 5.88222782905463e-06, + "loss": 0.8149, + "step": 27422 + }, + { + "epoch": 0.65, + "grad_norm": 0.7910873300009252, + "learning_rate": 5.881532493516673e-06, + "loss": 0.7246, + "step": 27423 + }, + { + "epoch": 0.65, + "grad_norm": 1.6234933035159802, + "learning_rate": 5.880837181957737e-06, + "loss": 0.7791, + "step": 27424 + }, + { + "epoch": 0.65, + "grad_norm": 1.7554667461368547, + "learning_rate": 5.880141894381873e-06, + "loss": 0.8812, + "step": 27425 + }, + { + "epoch": 0.65, + "grad_norm": 1.7514963477201733, + "learning_rate": 5.879446630793126e-06, + "loss": 0.8536, + "step": 27426 + }, + { + "epoch": 0.65, + "grad_norm": 0.7616770941167793, + "learning_rate": 5.878751391195546e-06, + "loss": 0.6756, + "step": 27427 + }, + { + "epoch": 0.65, + "grad_norm": 1.767080487937093, + "learning_rate": 5.8780561755931785e-06, + "loss": 0.8533, + "step": 27428 + }, + { + "epoch": 0.65, + "grad_norm": 1.5186574402655186, + "learning_rate": 5.877360983990077e-06, + "loss": 0.8919, + "step": 27429 + }, + { + "epoch": 0.65, + "grad_norm": 1.6837349809296052, + "learning_rate": 5.876665816390281e-06, + "loss": 0.8393, + "step": 27430 + }, + { + "epoch": 0.65, + "grad_norm": 1.4944867182632262, + "learning_rate": 5.875970672797844e-06, + "loss": 0.8225, + "step": 27431 + }, + { + "epoch": 0.65, + "grad_norm": 1.5567985578359276, + "learning_rate": 5.8752755532168125e-06, + "loss": 0.7115, + "step": 27432 + }, + { + "epoch": 0.65, + "grad_norm": 1.7624793979945013, + "learning_rate": 5.874580457651229e-06, + "loss": 0.9151, + "step": 27433 + }, + { + "epoch": 0.65, + "grad_norm": 1.428803193263215, + "learning_rate": 5.8738853861051455e-06, + "loss": 0.84, + "step": 27434 + }, + { + "epoch": 0.65, + "grad_norm": 1.5218560023344134, + "learning_rate": 5.873190338582608e-06, + "loss": 0.7376, + "step": 27435 + }, + { + "epoch": 0.65, + "grad_norm": 1.8164537057971126, + "learning_rate": 5.8724953150876655e-06, + "loss": 0.8682, + "step": 27436 + }, + { + "epoch": 0.65, + "grad_norm": 1.503873164142758, + "learning_rate": 5.871800315624357e-06, + "loss": 0.9493, + "step": 27437 + }, + { + "epoch": 0.65, + "grad_norm": 1.7783192645086345, + "learning_rate": 5.871105340196737e-06, + "loss": 0.7501, + "step": 27438 + }, + { + "epoch": 0.65, + "grad_norm": 1.8541541888363324, + "learning_rate": 5.87041038880885e-06, + "loss": 0.8039, + "step": 27439 + }, + { + "epoch": 0.65, + "grad_norm": 1.618031579152851, + "learning_rate": 5.86971546146474e-06, + "loss": 0.7525, + "step": 27440 + }, + { + "epoch": 0.65, + "grad_norm": 1.5799000274463884, + "learning_rate": 5.869020558168452e-06, + "loss": 0.844, + "step": 27441 + }, + { + "epoch": 0.65, + "grad_norm": 2.1116811421933317, + "learning_rate": 5.868325678924036e-06, + "loss": 0.8003, + "step": 27442 + }, + { + "epoch": 0.65, + "grad_norm": 1.5098396879689595, + "learning_rate": 5.867630823735537e-06, + "loss": 0.9155, + "step": 27443 + }, + { + "epoch": 0.65, + "grad_norm": 1.694743568432465, + "learning_rate": 5.866935992606999e-06, + "loss": 0.8407, + "step": 27444 + }, + { + "epoch": 0.65, + "grad_norm": 1.6094962454219783, + "learning_rate": 5.866241185542466e-06, + "loss": 0.8472, + "step": 27445 + }, + { + "epoch": 0.65, + "grad_norm": 1.4937512284209848, + "learning_rate": 5.865546402545989e-06, + "loss": 0.8645, + "step": 27446 + }, + { + "epoch": 0.65, + "grad_norm": 1.5868261321539074, + "learning_rate": 5.864851643621607e-06, + "loss": 0.8722, + "step": 27447 + }, + { + "epoch": 0.65, + "grad_norm": 1.8405023428747884, + "learning_rate": 5.864156908773369e-06, + "loss": 0.7932, + "step": 27448 + }, + { + "epoch": 0.65, + "grad_norm": 3.216402225728071, + "learning_rate": 5.863462198005318e-06, + "loss": 0.7788, + "step": 27449 + }, + { + "epoch": 0.65, + "grad_norm": 0.8071862449272912, + "learning_rate": 5.862767511321502e-06, + "loss": 0.7156, + "step": 27450 + }, + { + "epoch": 0.65, + "grad_norm": 3.2509101091502353, + "learning_rate": 5.862072848725961e-06, + "loss": 0.8013, + "step": 27451 + }, + { + "epoch": 0.65, + "grad_norm": 1.6288074335077782, + "learning_rate": 5.8613782102227416e-06, + "loss": 0.9116, + "step": 27452 + }, + { + "epoch": 0.65, + "grad_norm": 1.6165280825427644, + "learning_rate": 5.860683595815894e-06, + "loss": 0.8113, + "step": 27453 + }, + { + "epoch": 0.65, + "grad_norm": 1.5146563579220347, + "learning_rate": 5.85998900550945e-06, + "loss": 0.8619, + "step": 27454 + }, + { + "epoch": 0.65, + "grad_norm": 1.670424405149115, + "learning_rate": 5.8592944393074634e-06, + "loss": 0.7849, + "step": 27455 + }, + { + "epoch": 0.65, + "grad_norm": 1.5232743886977524, + "learning_rate": 5.858599897213975e-06, + "loss": 0.8799, + "step": 27456 + }, + { + "epoch": 0.65, + "grad_norm": 1.476396012397006, + "learning_rate": 5.857905379233033e-06, + "loss": 0.8296, + "step": 27457 + }, + { + "epoch": 0.65, + "grad_norm": 1.7311239882671823, + "learning_rate": 5.857210885368672e-06, + "loss": 0.7091, + "step": 27458 + }, + { + "epoch": 0.65, + "grad_norm": 1.6046076200405253, + "learning_rate": 5.856516415624942e-06, + "loss": 0.9621, + "step": 27459 + }, + { + "epoch": 0.65, + "grad_norm": 0.8427457865172946, + "learning_rate": 5.855821970005888e-06, + "loss": 0.7203, + "step": 27460 + }, + { + "epoch": 0.65, + "grad_norm": 1.7713517782401822, + "learning_rate": 5.855127548515547e-06, + "loss": 0.9567, + "step": 27461 + }, + { + "epoch": 0.65, + "grad_norm": 1.9604004681952127, + "learning_rate": 5.8544331511579664e-06, + "loss": 0.9312, + "step": 27462 + }, + { + "epoch": 0.65, + "grad_norm": 1.7940023912321226, + "learning_rate": 5.85373877793719e-06, + "loss": 0.894, + "step": 27463 + }, + { + "epoch": 0.65, + "grad_norm": 1.6517539986891945, + "learning_rate": 5.8530444288572595e-06, + "loss": 0.8662, + "step": 27464 + }, + { + "epoch": 0.65, + "grad_norm": 1.487090210179574, + "learning_rate": 5.852350103922214e-06, + "loss": 0.7628, + "step": 27465 + }, + { + "epoch": 0.65, + "grad_norm": 0.74140644736342, + "learning_rate": 5.851655803136101e-06, + "loss": 0.7243, + "step": 27466 + }, + { + "epoch": 0.65, + "grad_norm": 3.0710828566825783, + "learning_rate": 5.850961526502964e-06, + "loss": 0.7612, + "step": 27467 + }, + { + "epoch": 0.65, + "grad_norm": 1.6062389706502465, + "learning_rate": 5.850267274026839e-06, + "loss": 0.7123, + "step": 27468 + }, + { + "epoch": 0.65, + "grad_norm": 1.829836219973277, + "learning_rate": 5.849573045711771e-06, + "loss": 1.033, + "step": 27469 + }, + { + "epoch": 0.65, + "grad_norm": 3.92415257100561, + "learning_rate": 5.848878841561805e-06, + "loss": 0.7123, + "step": 27470 + }, + { + "epoch": 0.65, + "grad_norm": 1.5475843914242262, + "learning_rate": 5.848184661580982e-06, + "loss": 0.8194, + "step": 27471 + }, + { + "epoch": 0.65, + "grad_norm": 1.7697001000442143, + "learning_rate": 5.847490505773341e-06, + "loss": 0.665, + "step": 27472 + }, + { + "epoch": 0.65, + "grad_norm": 1.6684165183689637, + "learning_rate": 5.846796374142923e-06, + "loss": 0.8007, + "step": 27473 + }, + { + "epoch": 0.65, + "grad_norm": 2.664567385105894, + "learning_rate": 5.8461022666937735e-06, + "loss": 0.7516, + "step": 27474 + }, + { + "epoch": 0.65, + "grad_norm": 1.6960831238264915, + "learning_rate": 5.8454081834299324e-06, + "loss": 0.8241, + "step": 27475 + }, + { + "epoch": 0.65, + "grad_norm": 1.7469491819006409, + "learning_rate": 5.844714124355438e-06, + "loss": 0.9469, + "step": 27476 + }, + { + "epoch": 0.65, + "grad_norm": 1.7152016757742992, + "learning_rate": 5.844020089474334e-06, + "loss": 0.9285, + "step": 27477 + }, + { + "epoch": 0.65, + "grad_norm": 1.5397003296398002, + "learning_rate": 5.8433260787906624e-06, + "loss": 0.7545, + "step": 27478 + }, + { + "epoch": 0.65, + "grad_norm": 1.5481194703346102, + "learning_rate": 5.84263209230846e-06, + "loss": 0.9837, + "step": 27479 + }, + { + "epoch": 0.65, + "grad_norm": 1.4166988469726047, + "learning_rate": 5.841938130031772e-06, + "loss": 0.8759, + "step": 27480 + }, + { + "epoch": 0.65, + "grad_norm": 1.5979635354395996, + "learning_rate": 5.841244191964637e-06, + "loss": 0.778, + "step": 27481 + }, + { + "epoch": 0.65, + "grad_norm": 2.8363036979878875, + "learning_rate": 5.8405502781110925e-06, + "loss": 0.8293, + "step": 27482 + }, + { + "epoch": 0.65, + "grad_norm": 1.4355028901935991, + "learning_rate": 5.839856388475182e-06, + "loss": 0.7926, + "step": 27483 + }, + { + "epoch": 0.65, + "grad_norm": 1.6299875282115641, + "learning_rate": 5.839162523060944e-06, + "loss": 0.749, + "step": 27484 + }, + { + "epoch": 0.65, + "grad_norm": 1.5019445004970517, + "learning_rate": 5.8384686818724205e-06, + "loss": 0.9077, + "step": 27485 + }, + { + "epoch": 0.65, + "grad_norm": 1.6696848927563483, + "learning_rate": 5.83777486491365e-06, + "loss": 0.9772, + "step": 27486 + }, + { + "epoch": 0.65, + "grad_norm": 0.7598807631027042, + "learning_rate": 5.837081072188669e-06, + "loss": 0.7001, + "step": 27487 + }, + { + "epoch": 0.65, + "grad_norm": 1.6969181460168603, + "learning_rate": 5.836387303701525e-06, + "loss": 1.0235, + "step": 27488 + }, + { + "epoch": 0.65, + "grad_norm": 1.9961033596219955, + "learning_rate": 5.835693559456248e-06, + "loss": 0.8397, + "step": 27489 + }, + { + "epoch": 0.65, + "grad_norm": 5.0027465907227, + "learning_rate": 5.8349998394568845e-06, + "loss": 0.889, + "step": 27490 + }, + { + "epoch": 0.65, + "grad_norm": 2.3146038994438434, + "learning_rate": 5.834306143707467e-06, + "loss": 0.9438, + "step": 27491 + }, + { + "epoch": 0.65, + "grad_norm": 1.6807266417961482, + "learning_rate": 5.833612472212043e-06, + "loss": 0.9414, + "step": 27492 + }, + { + "epoch": 0.65, + "grad_norm": 1.8102889549505206, + "learning_rate": 5.83291882497464e-06, + "loss": 0.7356, + "step": 27493 + }, + { + "epoch": 0.65, + "grad_norm": 1.8905553103103394, + "learning_rate": 5.832225201999308e-06, + "loss": 0.8776, + "step": 27494 + }, + { + "epoch": 0.65, + "grad_norm": 1.922077524473447, + "learning_rate": 5.83153160329008e-06, + "loss": 0.8368, + "step": 27495 + }, + { + "epoch": 0.65, + "grad_norm": 1.5489743189173657, + "learning_rate": 5.830838028850992e-06, + "loss": 0.9063, + "step": 27496 + }, + { + "epoch": 0.65, + "grad_norm": 1.5125369093841876, + "learning_rate": 5.830144478686084e-06, + "loss": 0.8068, + "step": 27497 + }, + { + "epoch": 0.65, + "grad_norm": 1.4982778245355481, + "learning_rate": 5.829450952799398e-06, + "loss": 0.8024, + "step": 27498 + }, + { + "epoch": 0.65, + "grad_norm": 1.6633908882388715, + "learning_rate": 5.828757451194971e-06, + "loss": 0.8381, + "step": 27499 + }, + { + "epoch": 0.65, + "grad_norm": 1.383153112002245, + "learning_rate": 5.828063973876834e-06, + "loss": 0.9092, + "step": 27500 + }, + { + "epoch": 0.65, + "grad_norm": 1.5258056719943993, + "learning_rate": 5.827370520849029e-06, + "loss": 0.9473, + "step": 27501 + }, + { + "epoch": 0.65, + "grad_norm": 1.8165928158712534, + "learning_rate": 5.826677092115598e-06, + "loss": 0.7021, + "step": 27502 + }, + { + "epoch": 0.65, + "grad_norm": 1.7296385612432028, + "learning_rate": 5.8259836876805745e-06, + "loss": 1.0042, + "step": 27503 + }, + { + "epoch": 0.65, + "grad_norm": 1.7717391085633276, + "learning_rate": 5.82529030754799e-06, + "loss": 0.8608, + "step": 27504 + }, + { + "epoch": 0.65, + "grad_norm": 1.7625327882708735, + "learning_rate": 5.824596951721888e-06, + "loss": 1.0123, + "step": 27505 + }, + { + "epoch": 0.65, + "grad_norm": 1.6537892497386812, + "learning_rate": 5.823903620206308e-06, + "loss": 0.7949, + "step": 27506 + }, + { + "epoch": 0.65, + "grad_norm": 1.6454571226028185, + "learning_rate": 5.8232103130052855e-06, + "loss": 0.8507, + "step": 27507 + }, + { + "epoch": 0.65, + "grad_norm": 1.9572026274729981, + "learning_rate": 5.8225170301228485e-06, + "loss": 0.8098, + "step": 27508 + }, + { + "epoch": 0.65, + "grad_norm": 2.1189381600217563, + "learning_rate": 5.8218237715630396e-06, + "loss": 0.8024, + "step": 27509 + }, + { + "epoch": 0.65, + "grad_norm": 1.3992592913962998, + "learning_rate": 5.821130537329902e-06, + "loss": 0.844, + "step": 27510 + }, + { + "epoch": 0.65, + "grad_norm": 1.5301717298626485, + "learning_rate": 5.820437327427464e-06, + "loss": 0.8308, + "step": 27511 + }, + { + "epoch": 0.65, + "grad_norm": 1.725129049138597, + "learning_rate": 5.819744141859759e-06, + "loss": 0.8352, + "step": 27512 + }, + { + "epoch": 0.65, + "grad_norm": 1.6740801795767126, + "learning_rate": 5.8190509806308316e-06, + "loss": 0.691, + "step": 27513 + }, + { + "epoch": 0.65, + "grad_norm": 1.6085897256762123, + "learning_rate": 5.8183578437447085e-06, + "loss": 0.7532, + "step": 27514 + }, + { + "epoch": 0.65, + "grad_norm": 1.4952947740730513, + "learning_rate": 5.817664731205429e-06, + "loss": 0.927, + "step": 27515 + }, + { + "epoch": 0.65, + "grad_norm": 1.913589014332937, + "learning_rate": 5.816971643017036e-06, + "loss": 0.8007, + "step": 27516 + }, + { + "epoch": 0.65, + "grad_norm": 1.5479835158994386, + "learning_rate": 5.816278579183556e-06, + "loss": 0.8372, + "step": 27517 + }, + { + "epoch": 0.65, + "grad_norm": 1.5692320812782583, + "learning_rate": 5.815585539709023e-06, + "loss": 0.8923, + "step": 27518 + }, + { + "epoch": 0.65, + "grad_norm": 1.6190892387255345, + "learning_rate": 5.814892524597477e-06, + "loss": 0.7486, + "step": 27519 + }, + { + "epoch": 0.65, + "grad_norm": 0.7400206053761722, + "learning_rate": 5.814199533852959e-06, + "loss": 0.6909, + "step": 27520 + }, + { + "epoch": 0.65, + "grad_norm": 1.4312125883393465, + "learning_rate": 5.8135065674794885e-06, + "loss": 0.8356, + "step": 27521 + }, + { + "epoch": 0.65, + "grad_norm": 1.991697980963235, + "learning_rate": 5.812813625481108e-06, + "loss": 0.803, + "step": 27522 + }, + { + "epoch": 0.65, + "grad_norm": 1.6409102915424096, + "learning_rate": 5.812120707861852e-06, + "loss": 0.8429, + "step": 27523 + }, + { + "epoch": 0.65, + "grad_norm": 0.7503621895185723, + "learning_rate": 5.811427814625765e-06, + "loss": 0.7691, + "step": 27524 + }, + { + "epoch": 0.65, + "grad_norm": 1.7938634372437876, + "learning_rate": 5.8107349457768615e-06, + "loss": 0.7218, + "step": 27525 + }, + { + "epoch": 0.65, + "grad_norm": 1.5528415716403698, + "learning_rate": 5.810042101319185e-06, + "loss": 0.8233, + "step": 27526 + }, + { + "epoch": 0.65, + "grad_norm": 1.6406362008275843, + "learning_rate": 5.8093492812567754e-06, + "loss": 0.8699, + "step": 27527 + }, + { + "epoch": 0.65, + "grad_norm": 1.9521918395753142, + "learning_rate": 5.808656485593657e-06, + "loss": 0.8319, + "step": 27528 + }, + { + "epoch": 0.65, + "grad_norm": 2.151227465197668, + "learning_rate": 5.80796371433387e-06, + "loss": 0.9202, + "step": 27529 + }, + { + "epoch": 0.65, + "grad_norm": 1.6210793533317875, + "learning_rate": 5.807270967481442e-06, + "loss": 0.7678, + "step": 27530 + }, + { + "epoch": 0.65, + "grad_norm": 1.4986777911065159, + "learning_rate": 5.8065782450404155e-06, + "loss": 0.8752, + "step": 27531 + }, + { + "epoch": 0.65, + "grad_norm": 1.7287271291771085, + "learning_rate": 5.805885547014812e-06, + "loss": 0.7822, + "step": 27532 + }, + { + "epoch": 0.65, + "grad_norm": 1.526672571398265, + "learning_rate": 5.805192873408676e-06, + "loss": 0.8167, + "step": 27533 + }, + { + "epoch": 0.65, + "grad_norm": 1.9264163338753728, + "learning_rate": 5.804500224226034e-06, + "loss": 0.7597, + "step": 27534 + }, + { + "epoch": 0.65, + "grad_norm": 1.6110436564460753, + "learning_rate": 5.803807599470917e-06, + "loss": 0.7928, + "step": 27535 + }, + { + "epoch": 0.65, + "grad_norm": 1.9403830823475448, + "learning_rate": 5.80311499914736e-06, + "loss": 0.8961, + "step": 27536 + }, + { + "epoch": 0.65, + "grad_norm": 0.7382896871627102, + "learning_rate": 5.8024224232594e-06, + "loss": 0.752, + "step": 27537 + }, + { + "epoch": 0.65, + "grad_norm": 1.5147235737281155, + "learning_rate": 5.801729871811066e-06, + "loss": 0.9678, + "step": 27538 + }, + { + "epoch": 0.65, + "grad_norm": 2.7031486534334603, + "learning_rate": 5.801037344806386e-06, + "loss": 0.9315, + "step": 27539 + }, + { + "epoch": 0.65, + "grad_norm": 1.5863801807481805, + "learning_rate": 5.800344842249396e-06, + "loss": 0.9516, + "step": 27540 + }, + { + "epoch": 0.65, + "grad_norm": 1.7711079907623024, + "learning_rate": 5.79965236414413e-06, + "loss": 0.872, + "step": 27541 + }, + { + "epoch": 0.65, + "grad_norm": 0.7891965625468392, + "learning_rate": 5.798959910494622e-06, + "loss": 0.6871, + "step": 27542 + }, + { + "epoch": 0.65, + "grad_norm": 1.5792402809097372, + "learning_rate": 5.798267481304891e-06, + "loss": 0.8325, + "step": 27543 + }, + { + "epoch": 0.65, + "grad_norm": 1.6492022637705004, + "learning_rate": 5.797575076578978e-06, + "loss": 0.7477, + "step": 27544 + }, + { + "epoch": 0.65, + "grad_norm": 1.8874027143652117, + "learning_rate": 5.79688269632092e-06, + "loss": 0.7943, + "step": 27545 + }, + { + "epoch": 0.65, + "grad_norm": 1.695336823739414, + "learning_rate": 5.79619034053474e-06, + "loss": 0.8216, + "step": 27546 + }, + { + "epoch": 0.65, + "grad_norm": 1.5662692355597378, + "learning_rate": 5.795498009224465e-06, + "loss": 0.7925, + "step": 27547 + }, + { + "epoch": 0.65, + "grad_norm": 1.544891783648658, + "learning_rate": 5.794805702394138e-06, + "loss": 0.8259, + "step": 27548 + }, + { + "epoch": 0.65, + "grad_norm": 0.7436220120770926, + "learning_rate": 5.794113420047779e-06, + "loss": 0.6856, + "step": 27549 + }, + { + "epoch": 0.65, + "grad_norm": 1.6309328548608588, + "learning_rate": 5.793421162189427e-06, + "loss": 0.8934, + "step": 27550 + }, + { + "epoch": 0.65, + "grad_norm": 1.9770148413392865, + "learning_rate": 5.792728928823105e-06, + "loss": 0.8561, + "step": 27551 + }, + { + "epoch": 0.65, + "grad_norm": 0.7477551707493652, + "learning_rate": 5.792036719952851e-06, + "loss": 0.742, + "step": 27552 + }, + { + "epoch": 0.65, + "grad_norm": 1.450040497587963, + "learning_rate": 5.791344535582687e-06, + "loss": 0.6671, + "step": 27553 + }, + { + "epoch": 0.65, + "grad_norm": 1.4354314822372456, + "learning_rate": 5.790652375716653e-06, + "loss": 0.9295, + "step": 27554 + }, + { + "epoch": 0.65, + "grad_norm": 1.7768503353232648, + "learning_rate": 5.789960240358772e-06, + "loss": 0.8928, + "step": 27555 + }, + { + "epoch": 0.65, + "grad_norm": 1.6693294083789612, + "learning_rate": 5.78926812951307e-06, + "loss": 0.777, + "step": 27556 + }, + { + "epoch": 0.65, + "grad_norm": 1.4744027980089454, + "learning_rate": 5.788576043183585e-06, + "loss": 0.7903, + "step": 27557 + }, + { + "epoch": 0.65, + "grad_norm": 0.803731824962969, + "learning_rate": 5.787883981374347e-06, + "loss": 0.7344, + "step": 27558 + }, + { + "epoch": 0.65, + "grad_norm": 1.3520205665882346, + "learning_rate": 5.787191944089381e-06, + "loss": 0.9013, + "step": 27559 + }, + { + "epoch": 0.65, + "grad_norm": 1.75540088010195, + "learning_rate": 5.786499931332714e-06, + "loss": 0.8871, + "step": 27560 + }, + { + "epoch": 0.65, + "grad_norm": 1.5822696192183947, + "learning_rate": 5.785807943108377e-06, + "loss": 0.7946, + "step": 27561 + }, + { + "epoch": 0.65, + "grad_norm": 1.6043970367647868, + "learning_rate": 5.785115979420406e-06, + "loss": 0.9273, + "step": 27562 + }, + { + "epoch": 0.65, + "grad_norm": 1.7436173177660663, + "learning_rate": 5.784424040272823e-06, + "loss": 0.8665, + "step": 27563 + }, + { + "epoch": 0.65, + "grad_norm": 7.1878573728395985, + "learning_rate": 5.7837321256696555e-06, + "loss": 0.8434, + "step": 27564 + }, + { + "epoch": 0.65, + "grad_norm": 1.656112189821583, + "learning_rate": 5.783040235614933e-06, + "loss": 0.8364, + "step": 27565 + }, + { + "epoch": 0.65, + "grad_norm": 1.6696669767608843, + "learning_rate": 5.782348370112689e-06, + "loss": 0.8084, + "step": 27566 + }, + { + "epoch": 0.65, + "grad_norm": 0.7549935793550903, + "learning_rate": 5.7816565291669504e-06, + "loss": 0.7113, + "step": 27567 + }, + { + "epoch": 0.65, + "grad_norm": 0.753104741840036, + "learning_rate": 5.780964712781736e-06, + "loss": 0.686, + "step": 27568 + }, + { + "epoch": 0.65, + "grad_norm": 1.5878472386042308, + "learning_rate": 5.780272920961087e-06, + "loss": 0.7982, + "step": 27569 + }, + { + "epoch": 0.65, + "grad_norm": 0.7762664659485552, + "learning_rate": 5.779581153709019e-06, + "loss": 0.6708, + "step": 27570 + }, + { + "epoch": 0.65, + "grad_norm": 1.4152242007203735, + "learning_rate": 5.778889411029571e-06, + "loss": 0.7893, + "step": 27571 + }, + { + "epoch": 0.65, + "grad_norm": 1.7206836907992056, + "learning_rate": 5.778197692926761e-06, + "loss": 0.7788, + "step": 27572 + }, + { + "epoch": 0.65, + "grad_norm": 1.486645664784343, + "learning_rate": 5.777505999404625e-06, + "loss": 0.8452, + "step": 27573 + }, + { + "epoch": 0.65, + "grad_norm": 1.821115902855222, + "learning_rate": 5.776814330467182e-06, + "loss": 0.8755, + "step": 27574 + }, + { + "epoch": 0.65, + "grad_norm": 1.6637128003199773, + "learning_rate": 5.776122686118466e-06, + "loss": 0.8589, + "step": 27575 + }, + { + "epoch": 0.65, + "grad_norm": 1.6210620247224112, + "learning_rate": 5.775431066362503e-06, + "loss": 0.7313, + "step": 27576 + }, + { + "epoch": 0.65, + "grad_norm": 0.7439878428851, + "learning_rate": 5.774739471203311e-06, + "loss": 0.673, + "step": 27577 + }, + { + "epoch": 0.65, + "grad_norm": 1.7568772417576997, + "learning_rate": 5.774047900644926e-06, + "loss": 0.7181, + "step": 27578 + }, + { + "epoch": 0.65, + "grad_norm": 1.5567249498829367, + "learning_rate": 5.773356354691374e-06, + "loss": 0.862, + "step": 27579 + }, + { + "epoch": 0.65, + "grad_norm": 1.8356208103925509, + "learning_rate": 5.772664833346681e-06, + "loss": 0.809, + "step": 27580 + }, + { + "epoch": 0.65, + "grad_norm": 1.5968342134488551, + "learning_rate": 5.771973336614867e-06, + "loss": 0.8812, + "step": 27581 + }, + { + "epoch": 0.65, + "grad_norm": 1.6097596498611988, + "learning_rate": 5.7712818644999624e-06, + "loss": 0.8595, + "step": 27582 + }, + { + "epoch": 0.65, + "grad_norm": 1.449684216102821, + "learning_rate": 5.7705904170059976e-06, + "loss": 0.9456, + "step": 27583 + }, + { + "epoch": 0.65, + "grad_norm": 1.776272957315386, + "learning_rate": 5.769898994136996e-06, + "loss": 0.9829, + "step": 27584 + }, + { + "epoch": 0.65, + "grad_norm": 1.8933155723814978, + "learning_rate": 5.769207595896975e-06, + "loss": 1.0006, + "step": 27585 + }, + { + "epoch": 0.65, + "grad_norm": 2.1202800623705147, + "learning_rate": 5.768516222289968e-06, + "loss": 0.881, + "step": 27586 + }, + { + "epoch": 0.65, + "grad_norm": 1.4435458628614168, + "learning_rate": 5.767824873320005e-06, + "loss": 0.8994, + "step": 27587 + }, + { + "epoch": 0.65, + "grad_norm": 1.6067465408073833, + "learning_rate": 5.767133548991104e-06, + "loss": 0.7657, + "step": 27588 + }, + { + "epoch": 0.65, + "grad_norm": 1.8158782125616606, + "learning_rate": 5.766442249307287e-06, + "loss": 0.9565, + "step": 27589 + }, + { + "epoch": 0.65, + "grad_norm": 1.5766984179066714, + "learning_rate": 5.765750974272588e-06, + "loss": 0.8115, + "step": 27590 + }, + { + "epoch": 0.65, + "grad_norm": 0.7791091128186606, + "learning_rate": 5.765059723891024e-06, + "loss": 0.7191, + "step": 27591 + }, + { + "epoch": 0.65, + "grad_norm": 0.7377522714616727, + "learning_rate": 5.764368498166626e-06, + "loss": 0.68, + "step": 27592 + }, + { + "epoch": 0.65, + "grad_norm": 1.8138297265078596, + "learning_rate": 5.763677297103411e-06, + "loss": 0.8679, + "step": 27593 + }, + { + "epoch": 0.65, + "grad_norm": 1.797988644962055, + "learning_rate": 5.7629861207054135e-06, + "loss": 0.8739, + "step": 27594 + }, + { + "epoch": 0.65, + "grad_norm": 1.7188906415988974, + "learning_rate": 5.7622949689766496e-06, + "loss": 0.7364, + "step": 27595 + }, + { + "epoch": 0.65, + "grad_norm": 0.7846799527156965, + "learning_rate": 5.761603841921147e-06, + "loss": 0.7095, + "step": 27596 + }, + { + "epoch": 0.65, + "grad_norm": 1.6357083170145499, + "learning_rate": 5.76091273954293e-06, + "loss": 0.838, + "step": 27597 + }, + { + "epoch": 0.65, + "grad_norm": 0.7177764512180457, + "learning_rate": 5.760221661846017e-06, + "loss": 0.7312, + "step": 27598 + }, + { + "epoch": 0.65, + "grad_norm": 1.5435113484162029, + "learning_rate": 5.7595306088344364e-06, + "loss": 0.9456, + "step": 27599 + }, + { + "epoch": 0.65, + "grad_norm": 1.650229351022605, + "learning_rate": 5.758839580512214e-06, + "loss": 0.7626, + "step": 27600 + }, + { + "epoch": 0.65, + "grad_norm": 1.5716586042942935, + "learning_rate": 5.7581485768833715e-06, + "loss": 0.6941, + "step": 27601 + }, + { + "epoch": 0.65, + "grad_norm": 1.753112601622951, + "learning_rate": 5.757457597951925e-06, + "loss": 0.8583, + "step": 27602 + }, + { + "epoch": 0.65, + "grad_norm": 1.5036990350781008, + "learning_rate": 5.756766643721905e-06, + "loss": 0.8886, + "step": 27603 + }, + { + "epoch": 0.65, + "grad_norm": 2.0209151355993766, + "learning_rate": 5.756075714197338e-06, + "loss": 0.8111, + "step": 27604 + }, + { + "epoch": 0.65, + "grad_norm": 1.8488333187044423, + "learning_rate": 5.755384809382239e-06, + "loss": 0.8774, + "step": 27605 + }, + { + "epoch": 0.65, + "grad_norm": 2.44775929385952, + "learning_rate": 5.754693929280633e-06, + "loss": 0.8896, + "step": 27606 + }, + { + "epoch": 0.65, + "grad_norm": 1.6393287546132413, + "learning_rate": 5.754003073896539e-06, + "loss": 0.7948, + "step": 27607 + }, + { + "epoch": 0.65, + "grad_norm": 2.1463050330633617, + "learning_rate": 5.75331224323399e-06, + "loss": 0.9574, + "step": 27608 + }, + { + "epoch": 0.65, + "grad_norm": 1.6385038267521244, + "learning_rate": 5.7526214372970014e-06, + "loss": 0.8136, + "step": 27609 + }, + { + "epoch": 0.65, + "grad_norm": 1.6439416381913958, + "learning_rate": 5.751930656089591e-06, + "loss": 0.6942, + "step": 27610 + }, + { + "epoch": 0.65, + "grad_norm": 1.760318257174734, + "learning_rate": 5.751239899615789e-06, + "loss": 0.7837, + "step": 27611 + }, + { + "epoch": 0.65, + "grad_norm": 1.7105169484656595, + "learning_rate": 5.75054916787961e-06, + "loss": 0.7756, + "step": 27612 + }, + { + "epoch": 0.65, + "grad_norm": 1.5280126779817242, + "learning_rate": 5.7498584608850786e-06, + "loss": 0.8954, + "step": 27613 + }, + { + "epoch": 0.65, + "grad_norm": 1.6695174265629735, + "learning_rate": 5.749167778636221e-06, + "loss": 0.9242, + "step": 27614 + }, + { + "epoch": 0.65, + "grad_norm": 1.5944997954528195, + "learning_rate": 5.748477121137055e-06, + "loss": 0.8997, + "step": 27615 + }, + { + "epoch": 0.65, + "grad_norm": 2.014915331573145, + "learning_rate": 5.7477864883915956e-06, + "loss": 0.9149, + "step": 27616 + }, + { + "epoch": 0.65, + "grad_norm": 1.6384194079642134, + "learning_rate": 5.74709588040387e-06, + "loss": 0.6863, + "step": 27617 + }, + { + "epoch": 0.65, + "grad_norm": 1.6938812355142354, + "learning_rate": 5.746405297177908e-06, + "loss": 0.8654, + "step": 27618 + }, + { + "epoch": 0.65, + "grad_norm": 1.629204805675312, + "learning_rate": 5.745714738717711e-06, + "loss": 0.8212, + "step": 27619 + }, + { + "epoch": 0.65, + "grad_norm": 1.6304800848490915, + "learning_rate": 5.745024205027312e-06, + "loss": 0.8657, + "step": 27620 + }, + { + "epoch": 0.65, + "grad_norm": 1.8415838046400617, + "learning_rate": 5.744333696110729e-06, + "loss": 0.9662, + "step": 27621 + }, + { + "epoch": 0.65, + "grad_norm": 1.811306036547266, + "learning_rate": 5.743643211971989e-06, + "loss": 0.9481, + "step": 27622 + }, + { + "epoch": 0.65, + "grad_norm": 1.5057823905024386, + "learning_rate": 5.742952752615099e-06, + "loss": 0.7368, + "step": 27623 + }, + { + "epoch": 0.65, + "grad_norm": 1.690304225672492, + "learning_rate": 5.742262318044084e-06, + "loss": 0.9317, + "step": 27624 + }, + { + "epoch": 0.65, + "grad_norm": 1.4090596399538111, + "learning_rate": 5.74157190826297e-06, + "loss": 0.8079, + "step": 27625 + }, + { + "epoch": 0.65, + "grad_norm": 1.3978769988726116, + "learning_rate": 5.740881523275771e-06, + "loss": 0.8521, + "step": 27626 + }, + { + "epoch": 0.65, + "grad_norm": 1.5365693459329568, + "learning_rate": 5.74019116308651e-06, + "loss": 0.8242, + "step": 27627 + }, + { + "epoch": 0.65, + "grad_norm": 1.485452349613995, + "learning_rate": 5.7395008276992015e-06, + "loss": 0.8805, + "step": 27628 + }, + { + "epoch": 0.65, + "grad_norm": 1.5248650732525872, + "learning_rate": 5.738810517117872e-06, + "loss": 0.8778, + "step": 27629 + }, + { + "epoch": 0.65, + "grad_norm": 1.5826469113642976, + "learning_rate": 5.7381202313465334e-06, + "loss": 0.8188, + "step": 27630 + }, + { + "epoch": 0.65, + "grad_norm": 1.435315583635166, + "learning_rate": 5.73742997038921e-06, + "loss": 0.7898, + "step": 27631 + }, + { + "epoch": 0.65, + "grad_norm": 3.148687820229963, + "learning_rate": 5.736739734249916e-06, + "loss": 0.8581, + "step": 27632 + }, + { + "epoch": 0.65, + "grad_norm": 1.6242333516001388, + "learning_rate": 5.736049522932679e-06, + "loss": 0.9928, + "step": 27633 + }, + { + "epoch": 0.65, + "grad_norm": 1.6236729871711837, + "learning_rate": 5.735359336441504e-06, + "loss": 0.7074, + "step": 27634 + }, + { + "epoch": 0.65, + "grad_norm": 1.5648330962130108, + "learning_rate": 5.734669174780423e-06, + "loss": 0.8105, + "step": 27635 + }, + { + "epoch": 0.65, + "grad_norm": 1.597714276217501, + "learning_rate": 5.733979037953449e-06, + "loss": 0.9272, + "step": 27636 + }, + { + "epoch": 0.65, + "grad_norm": 1.6554950197448228, + "learning_rate": 5.733288925964595e-06, + "loss": 0.7698, + "step": 27637 + }, + { + "epoch": 0.65, + "grad_norm": 1.596756015420159, + "learning_rate": 5.732598838817883e-06, + "loss": 0.7761, + "step": 27638 + }, + { + "epoch": 0.65, + "grad_norm": 1.492095489260797, + "learning_rate": 5.731908776517336e-06, + "loss": 0.857, + "step": 27639 + }, + { + "epoch": 0.65, + "grad_norm": 2.2046264490281215, + "learning_rate": 5.731218739066968e-06, + "loss": 0.8335, + "step": 27640 + }, + { + "epoch": 0.65, + "grad_norm": 1.8515237303879384, + "learning_rate": 5.730528726470792e-06, + "loss": 0.8493, + "step": 27641 + }, + { + "epoch": 0.65, + "grad_norm": 2.3340685741822003, + "learning_rate": 5.7298387387328295e-06, + "loss": 0.7358, + "step": 27642 + }, + { + "epoch": 0.65, + "grad_norm": 1.5664866273838878, + "learning_rate": 5.729148775857101e-06, + "loss": 0.9128, + "step": 27643 + }, + { + "epoch": 0.65, + "grad_norm": 1.5283675988944148, + "learning_rate": 5.72845883784762e-06, + "loss": 0.7516, + "step": 27644 + }, + { + "epoch": 0.65, + "grad_norm": 1.4215926640867886, + "learning_rate": 5.7277689247084016e-06, + "loss": 0.76, + "step": 27645 + }, + { + "epoch": 0.65, + "grad_norm": 1.6228900932969847, + "learning_rate": 5.727079036443464e-06, + "loss": 0.7758, + "step": 27646 + }, + { + "epoch": 0.65, + "grad_norm": 1.5048784874051562, + "learning_rate": 5.726389173056829e-06, + "loss": 0.8134, + "step": 27647 + }, + { + "epoch": 0.65, + "grad_norm": 1.4488461008024467, + "learning_rate": 5.725699334552509e-06, + "loss": 0.8949, + "step": 27648 + }, + { + "epoch": 0.65, + "grad_norm": 1.6713195995250303, + "learning_rate": 5.725009520934517e-06, + "loss": 0.9673, + "step": 27649 + }, + { + "epoch": 0.65, + "grad_norm": 1.94009027661788, + "learning_rate": 5.724319732206878e-06, + "loss": 0.8596, + "step": 27650 + }, + { + "epoch": 0.65, + "grad_norm": 1.698790640106601, + "learning_rate": 5.723629968373598e-06, + "loss": 0.838, + "step": 27651 + }, + { + "epoch": 0.65, + "grad_norm": 1.64406541779132, + "learning_rate": 5.722940229438703e-06, + "loss": 0.9853, + "step": 27652 + }, + { + "epoch": 0.65, + "grad_norm": 0.7908767416751221, + "learning_rate": 5.722250515406199e-06, + "loss": 0.7234, + "step": 27653 + }, + { + "epoch": 0.65, + "grad_norm": 2.5114426347763197, + "learning_rate": 5.721560826280112e-06, + "loss": 0.9419, + "step": 27654 + }, + { + "epoch": 0.65, + "grad_norm": 0.7433447884187105, + "learning_rate": 5.720871162064447e-06, + "loss": 0.6901, + "step": 27655 + }, + { + "epoch": 0.65, + "grad_norm": 1.5989739341217781, + "learning_rate": 5.7201815227632305e-06, + "loss": 0.8081, + "step": 27656 + }, + { + "epoch": 0.65, + "grad_norm": 1.5044591777822705, + "learning_rate": 5.719491908380471e-06, + "loss": 0.8323, + "step": 27657 + }, + { + "epoch": 0.65, + "grad_norm": 1.3815693644706062, + "learning_rate": 5.718802318920181e-06, + "loss": 0.8749, + "step": 27658 + }, + { + "epoch": 0.65, + "grad_norm": 1.5574165070154267, + "learning_rate": 5.71811275438638e-06, + "loss": 0.8756, + "step": 27659 + }, + { + "epoch": 0.65, + "grad_norm": 1.8479008520274192, + "learning_rate": 5.717423214783085e-06, + "loss": 0.7538, + "step": 27660 + }, + { + "epoch": 0.65, + "grad_norm": 1.4424028665188706, + "learning_rate": 5.7167337001143085e-06, + "loss": 0.7929, + "step": 27661 + }, + { + "epoch": 0.65, + "grad_norm": 1.456300811614343, + "learning_rate": 5.716044210384061e-06, + "loss": 1.0446, + "step": 27662 + }, + { + "epoch": 0.65, + "grad_norm": 1.5324527714892469, + "learning_rate": 5.7153547455963595e-06, + "loss": 0.876, + "step": 27663 + }, + { + "epoch": 0.65, + "grad_norm": 1.4471780703276558, + "learning_rate": 5.714665305755223e-06, + "loss": 0.9621, + "step": 27664 + }, + { + "epoch": 0.65, + "grad_norm": 1.5389168036187406, + "learning_rate": 5.7139758908646625e-06, + "loss": 0.9445, + "step": 27665 + }, + { + "epoch": 0.65, + "grad_norm": 1.6808057161639705, + "learning_rate": 5.7132865009286875e-06, + "loss": 0.8763, + "step": 27666 + }, + { + "epoch": 0.65, + "grad_norm": 1.4092872882808962, + "learning_rate": 5.712597135951314e-06, + "loss": 0.7798, + "step": 27667 + }, + { + "epoch": 0.65, + "grad_norm": 1.6373368295910797, + "learning_rate": 5.711907795936564e-06, + "loss": 0.7873, + "step": 27668 + }, + { + "epoch": 0.65, + "grad_norm": 1.6956275915827637, + "learning_rate": 5.711218480888443e-06, + "loss": 0.9773, + "step": 27669 + }, + { + "epoch": 0.65, + "grad_norm": 1.6187886371847815, + "learning_rate": 5.710529190810962e-06, + "loss": 0.9093, + "step": 27670 + }, + { + "epoch": 0.65, + "grad_norm": 1.5727966654968561, + "learning_rate": 5.709839925708141e-06, + "loss": 0.8102, + "step": 27671 + }, + { + "epoch": 0.65, + "grad_norm": 1.6904447351438252, + "learning_rate": 5.709150685583987e-06, + "loss": 0.8142, + "step": 27672 + }, + { + "epoch": 0.65, + "grad_norm": 1.565383385309936, + "learning_rate": 5.708461470442521e-06, + "loss": 0.9947, + "step": 27673 + }, + { + "epoch": 0.65, + "grad_norm": 1.425067164813848, + "learning_rate": 5.7077722802877465e-06, + "loss": 0.7357, + "step": 27674 + }, + { + "epoch": 0.65, + "grad_norm": 1.6022976121192563, + "learning_rate": 5.7070831151236836e-06, + "loss": 0.9307, + "step": 27675 + }, + { + "epoch": 0.65, + "grad_norm": 1.7284703761646465, + "learning_rate": 5.706393974954338e-06, + "loss": 0.8071, + "step": 27676 + }, + { + "epoch": 0.65, + "grad_norm": 1.6954203815238647, + "learning_rate": 5.705704859783732e-06, + "loss": 0.9629, + "step": 27677 + }, + { + "epoch": 0.65, + "grad_norm": 1.551518677437794, + "learning_rate": 5.70501576961587e-06, + "loss": 0.9173, + "step": 27678 + }, + { + "epoch": 0.65, + "grad_norm": 1.5741587121136569, + "learning_rate": 5.7043267044547636e-06, + "loss": 0.8452, + "step": 27679 + }, + { + "epoch": 0.65, + "grad_norm": 1.5539124178068768, + "learning_rate": 5.703637664304425e-06, + "loss": 0.7069, + "step": 27680 + }, + { + "epoch": 0.65, + "grad_norm": 2.8741459137468097, + "learning_rate": 5.702948649168874e-06, + "loss": 0.7535, + "step": 27681 + }, + { + "epoch": 0.65, + "grad_norm": 1.537290590801328, + "learning_rate": 5.702259659052115e-06, + "loss": 0.7808, + "step": 27682 + }, + { + "epoch": 0.65, + "grad_norm": 1.8969485494316638, + "learning_rate": 5.701570693958159e-06, + "loss": 0.9356, + "step": 27683 + }, + { + "epoch": 0.65, + "grad_norm": 1.671566207185525, + "learning_rate": 5.700881753891017e-06, + "loss": 0.8398, + "step": 27684 + }, + { + "epoch": 0.65, + "grad_norm": 1.5238766907728674, + "learning_rate": 5.700192838854707e-06, + "loss": 0.9042, + "step": 27685 + }, + { + "epoch": 0.65, + "grad_norm": 1.4594859759827534, + "learning_rate": 5.6995039488532355e-06, + "loss": 0.8475, + "step": 27686 + }, + { + "epoch": 0.65, + "grad_norm": 1.561589577256314, + "learning_rate": 5.6988150838906096e-06, + "loss": 0.9051, + "step": 27687 + }, + { + "epoch": 0.65, + "grad_norm": 1.6302173521806562, + "learning_rate": 5.698126243970845e-06, + "loss": 0.8894, + "step": 27688 + }, + { + "epoch": 0.65, + "grad_norm": 1.8428658890761866, + "learning_rate": 5.697437429097954e-06, + "loss": 0.9094, + "step": 27689 + }, + { + "epoch": 0.65, + "grad_norm": 1.7974540816373676, + "learning_rate": 5.6967486392759455e-06, + "loss": 0.8937, + "step": 27690 + }, + { + "epoch": 0.65, + "grad_norm": 2.012131712884775, + "learning_rate": 5.696059874508823e-06, + "loss": 0.8842, + "step": 27691 + }, + { + "epoch": 0.65, + "grad_norm": 0.7622470427863935, + "learning_rate": 5.695371134800609e-06, + "loss": 0.7005, + "step": 27692 + }, + { + "epoch": 0.65, + "grad_norm": 2.8585282512896635, + "learning_rate": 5.694682420155302e-06, + "loss": 0.8218, + "step": 27693 + }, + { + "epoch": 0.65, + "grad_norm": 0.7609989544524998, + "learning_rate": 5.693993730576921e-06, + "loss": 0.7404, + "step": 27694 + }, + { + "epoch": 0.65, + "grad_norm": 2.005996878376622, + "learning_rate": 5.6933050660694674e-06, + "loss": 0.878, + "step": 27695 + }, + { + "epoch": 0.65, + "grad_norm": 11.67989610617075, + "learning_rate": 5.69261642663696e-06, + "loss": 0.908, + "step": 27696 + }, + { + "epoch": 0.65, + "grad_norm": 1.8015478649880254, + "learning_rate": 5.6919278122834e-06, + "loss": 0.9044, + "step": 27697 + }, + { + "epoch": 0.65, + "grad_norm": 1.53460934963885, + "learning_rate": 5.691239223012802e-06, + "loss": 0.7796, + "step": 27698 + }, + { + "epoch": 0.65, + "grad_norm": 1.6577699292192272, + "learning_rate": 5.690550658829175e-06, + "loss": 0.7536, + "step": 27699 + }, + { + "epoch": 0.65, + "grad_norm": 1.5493880017025696, + "learning_rate": 5.689862119736522e-06, + "loss": 0.8878, + "step": 27700 + }, + { + "epoch": 0.65, + "grad_norm": 2.088792482748866, + "learning_rate": 5.689173605738856e-06, + "loss": 0.799, + "step": 27701 + }, + { + "epoch": 0.65, + "grad_norm": 1.3941761296469688, + "learning_rate": 5.688485116840187e-06, + "loss": 0.9216, + "step": 27702 + }, + { + "epoch": 0.65, + "grad_norm": 1.8240092266838128, + "learning_rate": 5.68779665304453e-06, + "loss": 0.8765, + "step": 27703 + }, + { + "epoch": 0.65, + "grad_norm": 1.653305796381641, + "learning_rate": 5.687108214355877e-06, + "loss": 0.8315, + "step": 27704 + }, + { + "epoch": 0.65, + "grad_norm": 6.03868059922095, + "learning_rate": 5.686419800778246e-06, + "loss": 0.8005, + "step": 27705 + }, + { + "epoch": 0.65, + "grad_norm": 1.90246235189651, + "learning_rate": 5.685731412315649e-06, + "loss": 0.9423, + "step": 27706 + }, + { + "epoch": 0.65, + "grad_norm": 1.5285906669868212, + "learning_rate": 5.685043048972091e-06, + "loss": 0.7782, + "step": 27707 + }, + { + "epoch": 0.65, + "grad_norm": 1.6162114107175924, + "learning_rate": 5.684354710751573e-06, + "loss": 0.8063, + "step": 27708 + }, + { + "epoch": 0.65, + "grad_norm": 1.3046715291477509, + "learning_rate": 5.683666397658108e-06, + "loss": 0.8337, + "step": 27709 + }, + { + "epoch": 0.65, + "grad_norm": 1.8282504194083404, + "learning_rate": 5.6829781096957086e-06, + "loss": 0.8237, + "step": 27710 + }, + { + "epoch": 0.65, + "grad_norm": 1.7223169355065264, + "learning_rate": 5.682289846868372e-06, + "loss": 0.9489, + "step": 27711 + }, + { + "epoch": 0.65, + "grad_norm": 1.8658771136320944, + "learning_rate": 5.681601609180117e-06, + "loss": 0.7438, + "step": 27712 + }, + { + "epoch": 0.65, + "grad_norm": 1.8463968615815236, + "learning_rate": 5.680913396634943e-06, + "loss": 0.8023, + "step": 27713 + }, + { + "epoch": 0.65, + "grad_norm": 1.54552396489695, + "learning_rate": 5.680225209236855e-06, + "loss": 0.9154, + "step": 27714 + }, + { + "epoch": 0.65, + "grad_norm": 1.5306984076495758, + "learning_rate": 5.6795370469898625e-06, + "loss": 1.0367, + "step": 27715 + }, + { + "epoch": 0.65, + "grad_norm": 1.3210022563773658, + "learning_rate": 5.678848909897979e-06, + "loss": 0.8052, + "step": 27716 + }, + { + "epoch": 0.65, + "grad_norm": 1.6043729357958423, + "learning_rate": 5.678160797965204e-06, + "loss": 0.7844, + "step": 27717 + }, + { + "epoch": 0.65, + "grad_norm": 1.673089973380613, + "learning_rate": 5.677472711195542e-06, + "loss": 0.8441, + "step": 27718 + }, + { + "epoch": 0.65, + "grad_norm": 1.7079334893435798, + "learning_rate": 5.676784649593001e-06, + "loss": 0.8494, + "step": 27719 + }, + { + "epoch": 0.65, + "grad_norm": 1.7342675149628775, + "learning_rate": 5.676096613161597e-06, + "loss": 0.9452, + "step": 27720 + }, + { + "epoch": 0.65, + "grad_norm": 1.5918367046656385, + "learning_rate": 5.67540860190532e-06, + "loss": 0.7725, + "step": 27721 + }, + { + "epoch": 0.65, + "grad_norm": 1.7641958185709619, + "learning_rate": 5.674720615828182e-06, + "loss": 0.8931, + "step": 27722 + }, + { + "epoch": 0.65, + "grad_norm": 0.8003413387485727, + "learning_rate": 5.674032654934192e-06, + "loss": 0.7273, + "step": 27723 + }, + { + "epoch": 0.65, + "grad_norm": 1.6855162649570257, + "learning_rate": 5.673344719227356e-06, + "loss": 0.8535, + "step": 27724 + }, + { + "epoch": 0.65, + "grad_norm": 1.6726985237928442, + "learning_rate": 5.672656808711677e-06, + "loss": 0.8599, + "step": 27725 + }, + { + "epoch": 0.65, + "grad_norm": 1.8329562106799104, + "learning_rate": 5.671968923391156e-06, + "loss": 0.9246, + "step": 27726 + }, + { + "epoch": 0.65, + "grad_norm": 1.6563313538436328, + "learning_rate": 5.671281063269807e-06, + "loss": 0.8177, + "step": 27727 + }, + { + "epoch": 0.65, + "grad_norm": 1.6176789366408943, + "learning_rate": 5.670593228351625e-06, + "loss": 0.8016, + "step": 27728 + }, + { + "epoch": 0.65, + "grad_norm": 1.5795459376030305, + "learning_rate": 5.669905418640624e-06, + "loss": 0.8116, + "step": 27729 + }, + { + "epoch": 0.65, + "grad_norm": 1.6280392374728676, + "learning_rate": 5.669217634140802e-06, + "loss": 0.7408, + "step": 27730 + }, + { + "epoch": 0.65, + "grad_norm": 1.4832660901554424, + "learning_rate": 5.668529874856168e-06, + "loss": 0.871, + "step": 27731 + }, + { + "epoch": 0.65, + "grad_norm": 0.780022258327559, + "learning_rate": 5.667842140790722e-06, + "loss": 0.7334, + "step": 27732 + }, + { + "epoch": 0.65, + "grad_norm": 1.459768385552938, + "learning_rate": 5.667154431948474e-06, + "loss": 0.8629, + "step": 27733 + }, + { + "epoch": 0.65, + "grad_norm": 1.6454159841539544, + "learning_rate": 5.666466748333424e-06, + "loss": 0.9473, + "step": 27734 + }, + { + "epoch": 0.65, + "grad_norm": 0.7790403585517908, + "learning_rate": 5.665779089949574e-06, + "loss": 0.7469, + "step": 27735 + }, + { + "epoch": 0.65, + "grad_norm": 1.7575375397362283, + "learning_rate": 5.665091456800929e-06, + "loss": 0.7268, + "step": 27736 + }, + { + "epoch": 0.65, + "grad_norm": 1.5922584917673486, + "learning_rate": 5.664403848891499e-06, + "loss": 0.9226, + "step": 27737 + }, + { + "epoch": 0.65, + "grad_norm": 1.4368705050865707, + "learning_rate": 5.663716266225281e-06, + "loss": 0.8866, + "step": 27738 + }, + { + "epoch": 0.65, + "grad_norm": 1.4611282361181617, + "learning_rate": 5.663028708806277e-06, + "loss": 0.8347, + "step": 27739 + }, + { + "epoch": 0.65, + "grad_norm": 1.8330374887995282, + "learning_rate": 5.662341176638493e-06, + "loss": 0.8631, + "step": 27740 + }, + { + "epoch": 0.65, + "grad_norm": 1.9135937543425685, + "learning_rate": 5.661653669725935e-06, + "loss": 0.938, + "step": 27741 + }, + { + "epoch": 0.65, + "grad_norm": 1.7667014112144483, + "learning_rate": 5.660966188072603e-06, + "loss": 0.8611, + "step": 27742 + }, + { + "epoch": 0.65, + "grad_norm": 1.6792371377777497, + "learning_rate": 5.660278731682496e-06, + "loss": 0.7202, + "step": 27743 + }, + { + "epoch": 0.65, + "grad_norm": 1.6234149851996937, + "learning_rate": 5.65959130055962e-06, + "loss": 0.9001, + "step": 27744 + }, + { + "epoch": 0.65, + "grad_norm": 1.702484698803816, + "learning_rate": 5.658903894707981e-06, + "loss": 0.7901, + "step": 27745 + }, + { + "epoch": 0.65, + "grad_norm": 1.7071954563424907, + "learning_rate": 5.65821651413158e-06, + "loss": 0.7346, + "step": 27746 + }, + { + "epoch": 0.65, + "grad_norm": 1.776851648676184, + "learning_rate": 5.65752915883441e-06, + "loss": 0.8433, + "step": 27747 + }, + { + "epoch": 0.65, + "grad_norm": 1.4844371369729792, + "learning_rate": 5.656841828820486e-06, + "loss": 0.784, + "step": 27748 + }, + { + "epoch": 0.65, + "grad_norm": 1.7107365158939516, + "learning_rate": 5.6561545240937995e-06, + "loss": 0.8155, + "step": 27749 + }, + { + "epoch": 0.65, + "grad_norm": 0.7752473924504311, + "learning_rate": 5.655467244658361e-06, + "loss": 0.6972, + "step": 27750 + }, + { + "epoch": 0.65, + "grad_norm": 1.5305514751934997, + "learning_rate": 5.654779990518163e-06, + "loss": 0.9587, + "step": 27751 + }, + { + "epoch": 0.65, + "grad_norm": 1.678969666421939, + "learning_rate": 5.6540927616772165e-06, + "loss": 0.8136, + "step": 27752 + }, + { + "epoch": 0.65, + "grad_norm": 1.7653820562319047, + "learning_rate": 5.653405558139513e-06, + "loss": 0.9537, + "step": 27753 + }, + { + "epoch": 0.65, + "grad_norm": 0.8383837770323045, + "learning_rate": 5.652718379909062e-06, + "loss": 0.7638, + "step": 27754 + }, + { + "epoch": 0.65, + "grad_norm": 1.5549666255094439, + "learning_rate": 5.652031226989858e-06, + "loss": 0.7609, + "step": 27755 + }, + { + "epoch": 0.65, + "grad_norm": 1.5122194466521568, + "learning_rate": 5.651344099385908e-06, + "loss": 0.8781, + "step": 27756 + }, + { + "epoch": 0.65, + "grad_norm": 1.696839896445273, + "learning_rate": 5.650656997101205e-06, + "loss": 0.8481, + "step": 27757 + }, + { + "epoch": 0.65, + "grad_norm": 1.4742604671839064, + "learning_rate": 5.64996992013976e-06, + "loss": 0.8744, + "step": 27758 + }, + { + "epoch": 0.65, + "grad_norm": 1.594933460963659, + "learning_rate": 5.6492828685055656e-06, + "loss": 0.8744, + "step": 27759 + }, + { + "epoch": 0.65, + "grad_norm": 1.5267376362089151, + "learning_rate": 5.64859584220262e-06, + "loss": 0.8511, + "step": 27760 + }, + { + "epoch": 0.65, + "grad_norm": 0.7443336167877392, + "learning_rate": 5.647908841234927e-06, + "loss": 0.6861, + "step": 27761 + }, + { + "epoch": 0.65, + "grad_norm": 1.8944371762650596, + "learning_rate": 5.64722186560649e-06, + "loss": 0.7547, + "step": 27762 + }, + { + "epoch": 0.65, + "grad_norm": 1.661059127926254, + "learning_rate": 5.6465349153213065e-06, + "loss": 0.8169, + "step": 27763 + }, + { + "epoch": 0.65, + "grad_norm": 1.481130987044701, + "learning_rate": 5.6458479903833705e-06, + "loss": 1.087, + "step": 27764 + }, + { + "epoch": 0.65, + "grad_norm": 1.422397434035429, + "learning_rate": 5.645161090796687e-06, + "loss": 0.7757, + "step": 27765 + }, + { + "epoch": 0.65, + "grad_norm": 1.5959347716146315, + "learning_rate": 5.644474216565257e-06, + "loss": 0.9789, + "step": 27766 + }, + { + "epoch": 0.65, + "grad_norm": 1.555043025934199, + "learning_rate": 5.643787367693077e-06, + "loss": 0.7959, + "step": 27767 + }, + { + "epoch": 0.65, + "grad_norm": 1.5673252086771936, + "learning_rate": 5.643100544184142e-06, + "loss": 0.8684, + "step": 27768 + }, + { + "epoch": 0.65, + "grad_norm": 0.7706154025904969, + "learning_rate": 5.642413746042457e-06, + "loss": 0.6893, + "step": 27769 + }, + { + "epoch": 0.65, + "grad_norm": 1.5697541612429395, + "learning_rate": 5.6417269732720204e-06, + "loss": 0.7614, + "step": 27770 + }, + { + "epoch": 0.65, + "grad_norm": 1.6049027289917372, + "learning_rate": 5.64104022587683e-06, + "loss": 0.898, + "step": 27771 + }, + { + "epoch": 0.65, + "grad_norm": 1.4575231346807873, + "learning_rate": 5.64035350386088e-06, + "loss": 0.9148, + "step": 27772 + }, + { + "epoch": 0.65, + "grad_norm": 1.4560646449595431, + "learning_rate": 5.6396668072281745e-06, + "loss": 0.6807, + "step": 27773 + }, + { + "epoch": 0.65, + "grad_norm": 2.205745562222619, + "learning_rate": 5.6389801359827075e-06, + "loss": 0.7846, + "step": 27774 + }, + { + "epoch": 0.65, + "grad_norm": 1.8399033686432642, + "learning_rate": 5.638293490128481e-06, + "loss": 0.9231, + "step": 27775 + }, + { + "epoch": 0.65, + "grad_norm": 0.7903199089009239, + "learning_rate": 5.6376068696694875e-06, + "loss": 0.7032, + "step": 27776 + }, + { + "epoch": 0.65, + "grad_norm": 1.471572674642997, + "learning_rate": 5.636920274609731e-06, + "loss": 0.7871, + "step": 27777 + }, + { + "epoch": 0.65, + "grad_norm": 1.6099701068375372, + "learning_rate": 5.636233704953205e-06, + "loss": 0.8205, + "step": 27778 + }, + { + "epoch": 0.65, + "grad_norm": 1.4467557509563822, + "learning_rate": 5.635547160703909e-06, + "loss": 0.7884, + "step": 27779 + }, + { + "epoch": 0.65, + "grad_norm": 1.788084245537859, + "learning_rate": 5.63486064186584e-06, + "loss": 0.8877, + "step": 27780 + }, + { + "epoch": 0.65, + "grad_norm": 1.5145060686889755, + "learning_rate": 5.63417414844299e-06, + "loss": 0.8707, + "step": 27781 + }, + { + "epoch": 0.65, + "grad_norm": 2.040504890161693, + "learning_rate": 5.633487680439362e-06, + "loss": 0.9696, + "step": 27782 + }, + { + "epoch": 0.65, + "grad_norm": 1.465104274113058, + "learning_rate": 5.632801237858954e-06, + "loss": 0.8529, + "step": 27783 + }, + { + "epoch": 0.65, + "grad_norm": 1.4651239741234217, + "learning_rate": 5.632114820705759e-06, + "loss": 1.0136, + "step": 27784 + }, + { + "epoch": 0.65, + "grad_norm": 1.7236385344857452, + "learning_rate": 5.6314284289837705e-06, + "loss": 0.9172, + "step": 27785 + }, + { + "epoch": 0.65, + "grad_norm": 1.5826552331986892, + "learning_rate": 5.630742062696989e-06, + "loss": 0.8099, + "step": 27786 + }, + { + "epoch": 0.65, + "grad_norm": 1.582011488986812, + "learning_rate": 5.630055721849414e-06, + "loss": 0.7891, + "step": 27787 + }, + { + "epoch": 0.65, + "grad_norm": 1.6662013973590775, + "learning_rate": 5.62936940644504e-06, + "loss": 0.7199, + "step": 27788 + }, + { + "epoch": 0.65, + "grad_norm": 1.6630911135760973, + "learning_rate": 5.6286831164878556e-06, + "loss": 0.9147, + "step": 27789 + }, + { + "epoch": 0.65, + "grad_norm": 1.5963289891007253, + "learning_rate": 5.627996851981863e-06, + "loss": 0.8135, + "step": 27790 + }, + { + "epoch": 0.65, + "grad_norm": 2.001276357062924, + "learning_rate": 5.627310612931058e-06, + "loss": 0.7947, + "step": 27791 + }, + { + "epoch": 0.65, + "grad_norm": 1.7594487081376737, + "learning_rate": 5.626624399339438e-06, + "loss": 0.7704, + "step": 27792 + }, + { + "epoch": 0.65, + "grad_norm": 1.5909857394992044, + "learning_rate": 5.62593821121099e-06, + "loss": 0.755, + "step": 27793 + }, + { + "epoch": 0.65, + "grad_norm": 7.7485130625844665, + "learning_rate": 5.62525204854972e-06, + "loss": 0.8767, + "step": 27794 + }, + { + "epoch": 0.65, + "grad_norm": 1.65066778672634, + "learning_rate": 5.624565911359612e-06, + "loss": 0.7707, + "step": 27795 + }, + { + "epoch": 0.65, + "grad_norm": 1.8070162154607978, + "learning_rate": 5.6238797996446714e-06, + "loss": 0.8758, + "step": 27796 + }, + { + "epoch": 0.65, + "grad_norm": 1.75510910095807, + "learning_rate": 5.623193713408883e-06, + "loss": 0.856, + "step": 27797 + }, + { + "epoch": 0.65, + "grad_norm": 1.6980775684244263, + "learning_rate": 5.6225076526562525e-06, + "loss": 0.9282, + "step": 27798 + }, + { + "epoch": 0.65, + "grad_norm": 1.6280244981550556, + "learning_rate": 5.621821617390763e-06, + "loss": 0.7621, + "step": 27799 + }, + { + "epoch": 0.65, + "grad_norm": 1.5098500901297305, + "learning_rate": 5.621135607616413e-06, + "loss": 0.9001, + "step": 27800 + }, + { + "epoch": 0.65, + "grad_norm": 1.8203093584104164, + "learning_rate": 5.620449623337208e-06, + "loss": 0.841, + "step": 27801 + }, + { + "epoch": 0.65, + "grad_norm": 2.4445161022826647, + "learning_rate": 5.619763664557123e-06, + "loss": 0.8715, + "step": 27802 + }, + { + "epoch": 0.66, + "grad_norm": 1.4887893394483045, + "learning_rate": 5.61907773128016e-06, + "loss": 0.9431, + "step": 27803 + }, + { + "epoch": 0.66, + "grad_norm": 2.498994105157775, + "learning_rate": 5.6183918235103144e-06, + "loss": 0.8811, + "step": 27804 + }, + { + "epoch": 0.66, + "grad_norm": 1.598056352605056, + "learning_rate": 5.617705941251586e-06, + "loss": 0.9035, + "step": 27805 + }, + { + "epoch": 0.66, + "grad_norm": 1.5350162376128795, + "learning_rate": 5.617020084507954e-06, + "loss": 0.83, + "step": 27806 + }, + { + "epoch": 0.66, + "grad_norm": 1.5278391023179945, + "learning_rate": 5.616334253283418e-06, + "loss": 0.8114, + "step": 27807 + }, + { + "epoch": 0.66, + "grad_norm": 1.438208113416195, + "learning_rate": 5.615648447581976e-06, + "loss": 0.7651, + "step": 27808 + }, + { + "epoch": 0.66, + "grad_norm": 1.530931138914033, + "learning_rate": 5.614962667407613e-06, + "loss": 0.9349, + "step": 27809 + }, + { + "epoch": 0.66, + "grad_norm": 0.7269364765354599, + "learning_rate": 5.614276912764329e-06, + "loss": 0.7385, + "step": 27810 + }, + { + "epoch": 0.66, + "grad_norm": 1.4836669533506661, + "learning_rate": 5.61359118365611e-06, + "loss": 0.7569, + "step": 27811 + }, + { + "epoch": 0.66, + "grad_norm": 1.9177387935737917, + "learning_rate": 5.612905480086954e-06, + "loss": 0.8341, + "step": 27812 + }, + { + "epoch": 0.66, + "grad_norm": 1.8082048235989518, + "learning_rate": 5.61221980206085e-06, + "loss": 0.9272, + "step": 27813 + }, + { + "epoch": 0.66, + "grad_norm": 1.8481380970551877, + "learning_rate": 5.611534149581794e-06, + "loss": 0.8681, + "step": 27814 + }, + { + "epoch": 0.66, + "grad_norm": 0.7767260360346363, + "learning_rate": 5.610848522653776e-06, + "loss": 0.7931, + "step": 27815 + }, + { + "epoch": 0.66, + "grad_norm": 0.7785525583282346, + "learning_rate": 5.610162921280783e-06, + "loss": 0.7127, + "step": 27816 + }, + { + "epoch": 0.66, + "grad_norm": 1.7123949744109759, + "learning_rate": 5.609477345466811e-06, + "loss": 0.8655, + "step": 27817 + }, + { + "epoch": 0.66, + "grad_norm": 1.4196133012450893, + "learning_rate": 5.608791795215857e-06, + "loss": 0.8371, + "step": 27818 + }, + { + "epoch": 0.66, + "grad_norm": 1.6351279784467134, + "learning_rate": 5.608106270531907e-06, + "loss": 0.8723, + "step": 27819 + }, + { + "epoch": 0.66, + "grad_norm": 1.5424897930279142, + "learning_rate": 5.6074207714189475e-06, + "loss": 0.8319, + "step": 27820 + }, + { + "epoch": 0.66, + "grad_norm": 1.631787024628283, + "learning_rate": 5.606735297880977e-06, + "loss": 0.8117, + "step": 27821 + }, + { + "epoch": 0.66, + "grad_norm": 1.772494485402316, + "learning_rate": 5.606049849921987e-06, + "loss": 0.7464, + "step": 27822 + }, + { + "epoch": 0.66, + "grad_norm": 1.52348136557873, + "learning_rate": 5.6053644275459665e-06, + "loss": 0.8253, + "step": 27823 + }, + { + "epoch": 0.66, + "grad_norm": 1.8999595614632092, + "learning_rate": 5.604679030756901e-06, + "loss": 0.9272, + "step": 27824 + }, + { + "epoch": 0.66, + "grad_norm": 1.9129714728939289, + "learning_rate": 5.603993659558786e-06, + "loss": 0.9752, + "step": 27825 + }, + { + "epoch": 0.66, + "grad_norm": 1.9565165404342941, + "learning_rate": 5.603308313955617e-06, + "loss": 0.8586, + "step": 27826 + }, + { + "epoch": 0.66, + "grad_norm": 1.7396474621296407, + "learning_rate": 5.602622993951377e-06, + "loss": 0.9673, + "step": 27827 + }, + { + "epoch": 0.66, + "grad_norm": 1.841949436361487, + "learning_rate": 5.601937699550055e-06, + "loss": 0.8069, + "step": 27828 + }, + { + "epoch": 0.66, + "grad_norm": 1.9320971459770977, + "learning_rate": 5.601252430755648e-06, + "loss": 0.8526, + "step": 27829 + }, + { + "epoch": 0.66, + "grad_norm": 1.4722137709351792, + "learning_rate": 5.600567187572139e-06, + "loss": 0.8824, + "step": 27830 + }, + { + "epoch": 0.66, + "grad_norm": 1.8467797145288187, + "learning_rate": 5.599881970003522e-06, + "loss": 0.7559, + "step": 27831 + }, + { + "epoch": 0.66, + "grad_norm": 1.5152052982484403, + "learning_rate": 5.599196778053784e-06, + "loss": 0.7908, + "step": 27832 + }, + { + "epoch": 0.66, + "grad_norm": 1.7989906894685659, + "learning_rate": 5.5985116117269175e-06, + "loss": 0.8042, + "step": 27833 + }, + { + "epoch": 0.66, + "grad_norm": 1.5869139299392645, + "learning_rate": 5.5978264710269085e-06, + "loss": 0.8759, + "step": 27834 + }, + { + "epoch": 0.66, + "grad_norm": 2.6886403023957897, + "learning_rate": 5.597141355957749e-06, + "loss": 0.9299, + "step": 27835 + }, + { + "epoch": 0.66, + "grad_norm": 1.6096581747661651, + "learning_rate": 5.5964562665234275e-06, + "loss": 0.8773, + "step": 27836 + }, + { + "epoch": 0.66, + "grad_norm": 1.7509722549205446, + "learning_rate": 5.595771202727928e-06, + "loss": 0.8207, + "step": 27837 + }, + { + "epoch": 0.66, + "grad_norm": 1.6229125066178627, + "learning_rate": 5.595086164575243e-06, + "loss": 0.932, + "step": 27838 + }, + { + "epoch": 0.66, + "grad_norm": 2.4787428216567373, + "learning_rate": 5.5944011520693645e-06, + "loss": 1.0009, + "step": 27839 + }, + { + "epoch": 0.66, + "grad_norm": 1.640309906756561, + "learning_rate": 5.593716165214276e-06, + "loss": 0.92, + "step": 27840 + }, + { + "epoch": 0.66, + "grad_norm": 1.571314595029402, + "learning_rate": 5.593031204013965e-06, + "loss": 0.7884, + "step": 27841 + }, + { + "epoch": 0.66, + "grad_norm": 1.6561515257009145, + "learning_rate": 5.59234626847242e-06, + "loss": 0.8569, + "step": 27842 + }, + { + "epoch": 0.66, + "grad_norm": 1.6710184558334977, + "learning_rate": 5.591661358593636e-06, + "loss": 0.8697, + "step": 27843 + }, + { + "epoch": 0.66, + "grad_norm": 1.7149293841224145, + "learning_rate": 5.590976474381595e-06, + "loss": 0.8069, + "step": 27844 + }, + { + "epoch": 0.66, + "grad_norm": 2.093483430044397, + "learning_rate": 5.59029161584028e-06, + "loss": 0.737, + "step": 27845 + }, + { + "epoch": 0.66, + "grad_norm": 1.5668889318581896, + "learning_rate": 5.589606782973683e-06, + "loss": 0.7882, + "step": 27846 + }, + { + "epoch": 0.66, + "grad_norm": 1.843860386865416, + "learning_rate": 5.588921975785797e-06, + "loss": 0.8473, + "step": 27847 + }, + { + "epoch": 0.66, + "grad_norm": 1.8245626817042198, + "learning_rate": 5.588237194280603e-06, + "loss": 0.8866, + "step": 27848 + }, + { + "epoch": 0.66, + "grad_norm": 1.5472464366124858, + "learning_rate": 5.5875524384620846e-06, + "loss": 0.7258, + "step": 27849 + }, + { + "epoch": 0.66, + "grad_norm": 0.7115026606957577, + "learning_rate": 5.586867708334236e-06, + "loss": 0.7088, + "step": 27850 + }, + { + "epoch": 0.66, + "grad_norm": 1.650382481310153, + "learning_rate": 5.5861830039010375e-06, + "loss": 0.8738, + "step": 27851 + }, + { + "epoch": 0.66, + "grad_norm": 2.5573691216145074, + "learning_rate": 5.585498325166484e-06, + "loss": 0.8748, + "step": 27852 + }, + { + "epoch": 0.66, + "grad_norm": 1.823947005426198, + "learning_rate": 5.584813672134553e-06, + "loss": 0.7221, + "step": 27853 + }, + { + "epoch": 0.66, + "grad_norm": 1.5798288388397634, + "learning_rate": 5.584129044809237e-06, + "loss": 0.8181, + "step": 27854 + }, + { + "epoch": 0.66, + "grad_norm": 1.7140346431537312, + "learning_rate": 5.583444443194517e-06, + "loss": 0.8596, + "step": 27855 + }, + { + "epoch": 0.66, + "grad_norm": 1.700051652509384, + "learning_rate": 5.582759867294385e-06, + "loss": 0.905, + "step": 27856 + }, + { + "epoch": 0.66, + "grad_norm": 0.7276796637715917, + "learning_rate": 5.5820753171128235e-06, + "loss": 0.6656, + "step": 27857 + }, + { + "epoch": 0.66, + "grad_norm": 1.745223930834159, + "learning_rate": 5.581390792653815e-06, + "loss": 0.7934, + "step": 27858 + }, + { + "epoch": 0.66, + "grad_norm": 1.523398839822236, + "learning_rate": 5.580706293921348e-06, + "loss": 0.8998, + "step": 27859 + }, + { + "epoch": 0.66, + "grad_norm": 1.5247120360589963, + "learning_rate": 5.580021820919411e-06, + "loss": 0.7687, + "step": 27860 + }, + { + "epoch": 0.66, + "grad_norm": 0.776516071399948, + "learning_rate": 5.5793373736519876e-06, + "loss": 0.6973, + "step": 27861 + }, + { + "epoch": 0.66, + "grad_norm": 1.6546589480727918, + "learning_rate": 5.578652952123056e-06, + "loss": 0.8064, + "step": 27862 + }, + { + "epoch": 0.66, + "grad_norm": 1.6507885740236605, + "learning_rate": 5.577968556336608e-06, + "loss": 0.8171, + "step": 27863 + }, + { + "epoch": 0.66, + "grad_norm": 0.7737028284224686, + "learning_rate": 5.577284186296631e-06, + "loss": 0.6855, + "step": 27864 + }, + { + "epoch": 0.66, + "grad_norm": 0.7538486649849164, + "learning_rate": 5.576599842007105e-06, + "loss": 0.7242, + "step": 27865 + }, + { + "epoch": 0.66, + "grad_norm": 2.1711410836987084, + "learning_rate": 5.575915523472012e-06, + "loss": 0.8444, + "step": 27866 + }, + { + "epoch": 0.66, + "grad_norm": 1.5004620408951848, + "learning_rate": 5.575231230695339e-06, + "loss": 0.867, + "step": 27867 + }, + { + "epoch": 0.66, + "grad_norm": 1.5590460202950305, + "learning_rate": 5.5745469636810746e-06, + "loss": 0.9149, + "step": 27868 + }, + { + "epoch": 0.66, + "grad_norm": 1.4820433773739252, + "learning_rate": 5.573862722433199e-06, + "loss": 0.8153, + "step": 27869 + }, + { + "epoch": 0.66, + "grad_norm": 1.5093830836994169, + "learning_rate": 5.573178506955692e-06, + "loss": 0.8216, + "step": 27870 + }, + { + "epoch": 0.66, + "grad_norm": 1.9629132097965005, + "learning_rate": 5.572494317252545e-06, + "loss": 0.9661, + "step": 27871 + }, + { + "epoch": 0.66, + "grad_norm": 1.6872344049300738, + "learning_rate": 5.571810153327734e-06, + "loss": 0.8893, + "step": 27872 + }, + { + "epoch": 0.66, + "grad_norm": 1.860368105797289, + "learning_rate": 5.5711260151852494e-06, + "loss": 0.7878, + "step": 27873 + }, + { + "epoch": 0.66, + "grad_norm": 1.393749535642487, + "learning_rate": 5.570441902829069e-06, + "loss": 0.741, + "step": 27874 + }, + { + "epoch": 0.66, + "grad_norm": 1.424893042007749, + "learning_rate": 5.569757816263181e-06, + "loss": 0.7267, + "step": 27875 + }, + { + "epoch": 0.66, + "grad_norm": 1.660614659713147, + "learning_rate": 5.569073755491561e-06, + "loss": 0.9243, + "step": 27876 + }, + { + "epoch": 0.66, + "grad_norm": 1.6425911101146637, + "learning_rate": 5.568389720518201e-06, + "loss": 0.7762, + "step": 27877 + }, + { + "epoch": 0.66, + "grad_norm": 1.6484907127061164, + "learning_rate": 5.567705711347075e-06, + "loss": 0.7796, + "step": 27878 + }, + { + "epoch": 0.66, + "grad_norm": 1.6087760241239657, + "learning_rate": 5.5670217279821745e-06, + "loss": 0.7685, + "step": 27879 + }, + { + "epoch": 0.66, + "grad_norm": 2.4297775761252187, + "learning_rate": 5.566337770427472e-06, + "loss": 0.7985, + "step": 27880 + }, + { + "epoch": 0.66, + "grad_norm": 1.742549936053301, + "learning_rate": 5.565653838686959e-06, + "loss": 0.9583, + "step": 27881 + }, + { + "epoch": 0.66, + "grad_norm": 1.620281584380173, + "learning_rate": 5.564969932764615e-06, + "loss": 0.8921, + "step": 27882 + }, + { + "epoch": 0.66, + "grad_norm": 2.7580928876718067, + "learning_rate": 5.5642860526644135e-06, + "loss": 0.8536, + "step": 27883 + }, + { + "epoch": 0.66, + "grad_norm": 1.9638868011388388, + "learning_rate": 5.563602198390343e-06, + "loss": 0.9375, + "step": 27884 + }, + { + "epoch": 0.66, + "grad_norm": 1.6437741019883472, + "learning_rate": 5.562918369946386e-06, + "loss": 0.9248, + "step": 27885 + }, + { + "epoch": 0.66, + "grad_norm": 1.4574926226494604, + "learning_rate": 5.562234567336531e-06, + "loss": 0.8107, + "step": 27886 + }, + { + "epoch": 0.66, + "grad_norm": 1.9362529684578778, + "learning_rate": 5.561550790564744e-06, + "loss": 0.88, + "step": 27887 + }, + { + "epoch": 0.66, + "grad_norm": 1.7181803553317339, + "learning_rate": 5.560867039635012e-06, + "loss": 0.8705, + "step": 27888 + }, + { + "epoch": 0.66, + "grad_norm": 1.6357741140338644, + "learning_rate": 5.560183314551323e-06, + "loss": 0.8909, + "step": 27889 + }, + { + "epoch": 0.66, + "grad_norm": 1.6008000648097036, + "learning_rate": 5.559499615317652e-06, + "loss": 0.8602, + "step": 27890 + }, + { + "epoch": 0.66, + "grad_norm": 1.9110773422328562, + "learning_rate": 5.558815941937975e-06, + "loss": 0.7795, + "step": 27891 + }, + { + "epoch": 0.66, + "grad_norm": 1.5826647890292325, + "learning_rate": 5.558132294416278e-06, + "loss": 0.8178, + "step": 27892 + }, + { + "epoch": 0.66, + "grad_norm": 1.585176420452135, + "learning_rate": 5.557448672756546e-06, + "loss": 0.8495, + "step": 27893 + }, + { + "epoch": 0.66, + "grad_norm": 1.4937956377828354, + "learning_rate": 5.556765076962749e-06, + "loss": 0.8435, + "step": 27894 + }, + { + "epoch": 0.66, + "grad_norm": 1.5592335827593136, + "learning_rate": 5.556081507038877e-06, + "loss": 0.7966, + "step": 27895 + }, + { + "epoch": 0.66, + "grad_norm": 1.7050351281728515, + "learning_rate": 5.555397962988905e-06, + "loss": 0.8612, + "step": 27896 + }, + { + "epoch": 0.66, + "grad_norm": 1.8579752481752814, + "learning_rate": 5.5547144448168115e-06, + "loss": 0.784, + "step": 27897 + }, + { + "epoch": 0.66, + "grad_norm": 1.5273207861852087, + "learning_rate": 5.554030952526574e-06, + "loss": 0.9417, + "step": 27898 + }, + { + "epoch": 0.66, + "grad_norm": 1.6140313697142392, + "learning_rate": 5.553347486122182e-06, + "loss": 0.8406, + "step": 27899 + }, + { + "epoch": 0.66, + "grad_norm": 1.437023166441743, + "learning_rate": 5.55266404560761e-06, + "loss": 0.9309, + "step": 27900 + }, + { + "epoch": 0.66, + "grad_norm": 0.8348702078527026, + "learning_rate": 5.5519806309868304e-06, + "loss": 0.7276, + "step": 27901 + }, + { + "epoch": 0.66, + "grad_norm": 1.6216573898355946, + "learning_rate": 5.551297242263827e-06, + "loss": 0.7461, + "step": 27902 + }, + { + "epoch": 0.66, + "grad_norm": 1.5383246133692423, + "learning_rate": 5.550613879442589e-06, + "loss": 0.7533, + "step": 27903 + }, + { + "epoch": 0.66, + "grad_norm": 1.6558374398068978, + "learning_rate": 5.5499305425270765e-06, + "loss": 0.8068, + "step": 27904 + }, + { + "epoch": 0.66, + "grad_norm": 1.7677741038891543, + "learning_rate": 5.549247231521278e-06, + "loss": 0.8132, + "step": 27905 + }, + { + "epoch": 0.66, + "grad_norm": 1.47255426622191, + "learning_rate": 5.54856394642917e-06, + "loss": 0.8574, + "step": 27906 + }, + { + "epoch": 0.66, + "grad_norm": 2.043297244861119, + "learning_rate": 5.547880687254739e-06, + "loss": 0.6858, + "step": 27907 + }, + { + "epoch": 0.66, + "grad_norm": 1.6061380721384646, + "learning_rate": 5.5471974540019536e-06, + "loss": 0.8995, + "step": 27908 + }, + { + "epoch": 0.66, + "grad_norm": 0.7555376173607012, + "learning_rate": 5.54651424667479e-06, + "loss": 0.6927, + "step": 27909 + }, + { + "epoch": 0.66, + "grad_norm": 1.5116708119925863, + "learning_rate": 5.545831065277236e-06, + "loss": 0.7618, + "step": 27910 + }, + { + "epoch": 0.66, + "grad_norm": 1.5442018364609564, + "learning_rate": 5.545147909813259e-06, + "loss": 0.8968, + "step": 27911 + }, + { + "epoch": 0.66, + "grad_norm": 1.6282865029774691, + "learning_rate": 5.544464780286845e-06, + "loss": 0.9141, + "step": 27912 + }, + { + "epoch": 0.66, + "grad_norm": 2.59869153486565, + "learning_rate": 5.543781676701964e-06, + "loss": 0.886, + "step": 27913 + }, + { + "epoch": 0.66, + "grad_norm": 1.657604382076302, + "learning_rate": 5.543098599062602e-06, + "loss": 0.6696, + "step": 27914 + }, + { + "epoch": 0.66, + "grad_norm": 2.546655565303277, + "learning_rate": 5.542415547372724e-06, + "loss": 0.7805, + "step": 27915 + }, + { + "epoch": 0.66, + "grad_norm": 1.5052502726258195, + "learning_rate": 5.54173252163632e-06, + "loss": 0.8285, + "step": 27916 + }, + { + "epoch": 0.66, + "grad_norm": 1.831308535829335, + "learning_rate": 5.541049521857361e-06, + "loss": 0.7568, + "step": 27917 + }, + { + "epoch": 0.66, + "grad_norm": 1.6538172544388314, + "learning_rate": 5.5403665480398196e-06, + "loss": 0.8213, + "step": 27918 + }, + { + "epoch": 0.66, + "grad_norm": 1.4410174960409348, + "learning_rate": 5.539683600187675e-06, + "loss": 0.7923, + "step": 27919 + }, + { + "epoch": 0.66, + "grad_norm": 1.6777441479475441, + "learning_rate": 5.539000678304909e-06, + "loss": 0.8182, + "step": 27920 + }, + { + "epoch": 0.66, + "grad_norm": 1.8310737801192196, + "learning_rate": 5.538317782395493e-06, + "loss": 0.8291, + "step": 27921 + }, + { + "epoch": 0.66, + "grad_norm": 0.796886958877356, + "learning_rate": 5.537634912463399e-06, + "loss": 0.7003, + "step": 27922 + }, + { + "epoch": 0.66, + "grad_norm": 4.277828589582131, + "learning_rate": 5.536952068512609e-06, + "loss": 0.8821, + "step": 27923 + }, + { + "epoch": 0.66, + "grad_norm": 1.6100883458715998, + "learning_rate": 5.536269250547099e-06, + "loss": 0.6382, + "step": 27924 + }, + { + "epoch": 0.66, + "grad_norm": 0.7722845097953075, + "learning_rate": 5.535586458570844e-06, + "loss": 0.6989, + "step": 27925 + }, + { + "epoch": 0.66, + "grad_norm": 1.394986804932787, + "learning_rate": 5.534903692587814e-06, + "loss": 0.801, + "step": 27926 + }, + { + "epoch": 0.66, + "grad_norm": 1.6398289393438645, + "learning_rate": 5.534220952601987e-06, + "loss": 0.823, + "step": 27927 + }, + { + "epoch": 0.66, + "grad_norm": 0.7618251995141051, + "learning_rate": 5.533538238617345e-06, + "loss": 0.6775, + "step": 27928 + }, + { + "epoch": 0.66, + "grad_norm": 1.9819487492486327, + "learning_rate": 5.532855550637856e-06, + "loss": 0.732, + "step": 27929 + }, + { + "epoch": 0.66, + "grad_norm": 1.5275436600803225, + "learning_rate": 5.532172888667494e-06, + "loss": 0.8785, + "step": 27930 + }, + { + "epoch": 0.66, + "grad_norm": 1.773963396484454, + "learning_rate": 5.531490252710239e-06, + "loss": 0.8901, + "step": 27931 + }, + { + "epoch": 0.66, + "grad_norm": 1.4765982481034143, + "learning_rate": 5.53080764277006e-06, + "loss": 0.7775, + "step": 27932 + }, + { + "epoch": 0.66, + "grad_norm": 1.8356218203262322, + "learning_rate": 5.530125058850935e-06, + "loss": 0.8659, + "step": 27933 + }, + { + "epoch": 0.66, + "grad_norm": 0.7835549679013973, + "learning_rate": 5.529442500956834e-06, + "loss": 0.7539, + "step": 27934 + }, + { + "epoch": 0.66, + "grad_norm": 1.5077963160167593, + "learning_rate": 5.528759969091739e-06, + "loss": 0.8876, + "step": 27935 + }, + { + "epoch": 0.66, + "grad_norm": 0.779923391838876, + "learning_rate": 5.5280774632596145e-06, + "loss": 0.6888, + "step": 27936 + }, + { + "epoch": 0.66, + "grad_norm": 1.7581785961562404, + "learning_rate": 5.5273949834644425e-06, + "loss": 0.9232, + "step": 27937 + }, + { + "epoch": 0.66, + "grad_norm": 1.5073473689621915, + "learning_rate": 5.526712529710194e-06, + "loss": 0.7483, + "step": 27938 + }, + { + "epoch": 0.66, + "grad_norm": 1.6137805380171741, + "learning_rate": 5.526030102000836e-06, + "loss": 0.8163, + "step": 27939 + }, + { + "epoch": 0.66, + "grad_norm": 2.238321603970164, + "learning_rate": 5.525347700340349e-06, + "loss": 0.8281, + "step": 27940 + }, + { + "epoch": 0.66, + "grad_norm": 1.6298017206133983, + "learning_rate": 5.524665324732706e-06, + "loss": 0.7925, + "step": 27941 + }, + { + "epoch": 0.66, + "grad_norm": 2.1628359268422943, + "learning_rate": 5.52398297518188e-06, + "loss": 0.859, + "step": 27942 + }, + { + "epoch": 0.66, + "grad_norm": 1.5371181707118429, + "learning_rate": 5.523300651691837e-06, + "loss": 0.6877, + "step": 27943 + }, + { + "epoch": 0.66, + "grad_norm": 1.5381522786123212, + "learning_rate": 5.522618354266556e-06, + "loss": 0.8336, + "step": 27944 + }, + { + "epoch": 0.66, + "grad_norm": 1.6682880212116258, + "learning_rate": 5.521936082910012e-06, + "loss": 0.7315, + "step": 27945 + }, + { + "epoch": 0.66, + "grad_norm": 2.3657096221114995, + "learning_rate": 5.521253837626175e-06, + "loss": 0.8546, + "step": 27946 + }, + { + "epoch": 0.66, + "grad_norm": 1.6133982800525257, + "learning_rate": 5.5205716184190106e-06, + "loss": 0.8974, + "step": 27947 + }, + { + "epoch": 0.66, + "grad_norm": 1.5852827832355956, + "learning_rate": 5.519889425292496e-06, + "loss": 0.9215, + "step": 27948 + }, + { + "epoch": 0.66, + "grad_norm": 0.7820733985790093, + "learning_rate": 5.5192072582506086e-06, + "loss": 0.7208, + "step": 27949 + }, + { + "epoch": 0.66, + "grad_norm": 2.114445619578178, + "learning_rate": 5.5185251172973155e-06, + "loss": 0.9633, + "step": 27950 + }, + { + "epoch": 0.66, + "grad_norm": 1.8144799374926017, + "learning_rate": 5.517843002436583e-06, + "loss": 0.8336, + "step": 27951 + }, + { + "epoch": 0.66, + "grad_norm": 1.6890759675523868, + "learning_rate": 5.517160913672393e-06, + "loss": 0.7683, + "step": 27952 + }, + { + "epoch": 0.66, + "grad_norm": 2.2679616707331776, + "learning_rate": 5.516478851008705e-06, + "loss": 0.8364, + "step": 27953 + }, + { + "epoch": 0.66, + "grad_norm": 2.0016727475925897, + "learning_rate": 5.515796814449502e-06, + "loss": 0.7565, + "step": 27954 + }, + { + "epoch": 0.66, + "grad_norm": 1.4838422958161512, + "learning_rate": 5.515114803998745e-06, + "loss": 0.8654, + "step": 27955 + }, + { + "epoch": 0.66, + "grad_norm": 1.4971956739960988, + "learning_rate": 5.5144328196604145e-06, + "loss": 0.8646, + "step": 27956 + }, + { + "epoch": 0.66, + "grad_norm": 1.681094596123314, + "learning_rate": 5.513750861438472e-06, + "loss": 0.7418, + "step": 27957 + }, + { + "epoch": 0.66, + "grad_norm": 1.54813979365368, + "learning_rate": 5.5130689293368955e-06, + "loss": 0.9416, + "step": 27958 + }, + { + "epoch": 0.66, + "grad_norm": 4.765008049536819, + "learning_rate": 5.5123870233596536e-06, + "loss": 0.8651, + "step": 27959 + }, + { + "epoch": 0.66, + "grad_norm": 1.4787198326504674, + "learning_rate": 5.511705143510711e-06, + "loss": 0.8949, + "step": 27960 + }, + { + "epoch": 0.66, + "grad_norm": 1.734797715103078, + "learning_rate": 5.51102328979404e-06, + "loss": 0.7969, + "step": 27961 + }, + { + "epoch": 0.66, + "grad_norm": 1.5924968265322417, + "learning_rate": 5.510341462213619e-06, + "loss": 0.7533, + "step": 27962 + }, + { + "epoch": 0.66, + "grad_norm": 1.9309707014987048, + "learning_rate": 5.50965966077341e-06, + "loss": 0.9271, + "step": 27963 + }, + { + "epoch": 0.66, + "grad_norm": 1.706171604640526, + "learning_rate": 5.50897788547738e-06, + "loss": 0.7508, + "step": 27964 + }, + { + "epoch": 0.66, + "grad_norm": 1.4289938497024912, + "learning_rate": 5.508296136329504e-06, + "loss": 0.7638, + "step": 27965 + }, + { + "epoch": 0.66, + "grad_norm": 1.48961443637344, + "learning_rate": 5.507614413333753e-06, + "loss": 0.8323, + "step": 27966 + }, + { + "epoch": 0.66, + "grad_norm": 1.7600489869459044, + "learning_rate": 5.506932716494093e-06, + "loss": 0.8681, + "step": 27967 + }, + { + "epoch": 0.66, + "grad_norm": 1.7373131655950695, + "learning_rate": 5.50625104581449e-06, + "loss": 0.6988, + "step": 27968 + }, + { + "epoch": 0.66, + "grad_norm": 2.0743852430561716, + "learning_rate": 5.505569401298916e-06, + "loss": 0.8293, + "step": 27969 + }, + { + "epoch": 0.66, + "grad_norm": 1.6850598824603056, + "learning_rate": 5.504887782951343e-06, + "loss": 0.7829, + "step": 27970 + }, + { + "epoch": 0.66, + "grad_norm": 1.7411980173179316, + "learning_rate": 5.504206190775736e-06, + "loss": 0.7952, + "step": 27971 + }, + { + "epoch": 0.66, + "grad_norm": 1.7115763093490972, + "learning_rate": 5.503524624776061e-06, + "loss": 0.8368, + "step": 27972 + }, + { + "epoch": 0.66, + "grad_norm": 2.0219231286312875, + "learning_rate": 5.502843084956293e-06, + "loss": 0.9345, + "step": 27973 + }, + { + "epoch": 0.66, + "grad_norm": 1.4498472527368795, + "learning_rate": 5.502161571320393e-06, + "loss": 0.8726, + "step": 27974 + }, + { + "epoch": 0.66, + "grad_norm": 1.5758777992779254, + "learning_rate": 5.501480083872335e-06, + "loss": 0.7896, + "step": 27975 + }, + { + "epoch": 0.66, + "grad_norm": 1.709155823196796, + "learning_rate": 5.500798622616081e-06, + "loss": 0.9328, + "step": 27976 + }, + { + "epoch": 0.66, + "grad_norm": 1.437062214237366, + "learning_rate": 5.500117187555604e-06, + "loss": 0.8283, + "step": 27977 + }, + { + "epoch": 0.66, + "grad_norm": 1.6644779601258068, + "learning_rate": 5.499435778694868e-06, + "loss": 0.8647, + "step": 27978 + }, + { + "epoch": 0.66, + "grad_norm": 1.927585962357233, + "learning_rate": 5.4987543960378445e-06, + "loss": 0.7131, + "step": 27979 + }, + { + "epoch": 0.66, + "grad_norm": 1.634962003370403, + "learning_rate": 5.498073039588498e-06, + "loss": 0.922, + "step": 27980 + }, + { + "epoch": 0.66, + "grad_norm": 1.473697726986555, + "learning_rate": 5.497391709350792e-06, + "loss": 0.803, + "step": 27981 + }, + { + "epoch": 0.66, + "grad_norm": 1.904275826863584, + "learning_rate": 5.496710405328698e-06, + "loss": 0.7559, + "step": 27982 + }, + { + "epoch": 0.66, + "grad_norm": 1.617858162693163, + "learning_rate": 5.496029127526179e-06, + "loss": 0.887, + "step": 27983 + }, + { + "epoch": 0.66, + "grad_norm": 1.6662435317733342, + "learning_rate": 5.495347875947215e-06, + "loss": 0.8719, + "step": 27984 + }, + { + "epoch": 0.66, + "grad_norm": 1.8027877074043277, + "learning_rate": 5.494666650595752e-06, + "loss": 0.7884, + "step": 27985 + }, + { + "epoch": 0.66, + "grad_norm": 1.7516803832493832, + "learning_rate": 5.4939854514757675e-06, + "loss": 0.8272, + "step": 27986 + }, + { + "epoch": 0.66, + "grad_norm": 1.7123495526303139, + "learning_rate": 5.493304278591229e-06, + "loss": 0.9112, + "step": 27987 + }, + { + "epoch": 0.66, + "grad_norm": 1.9027756013485655, + "learning_rate": 5.4926231319461e-06, + "loss": 0.8285, + "step": 27988 + }, + { + "epoch": 0.66, + "grad_norm": 1.636725485257656, + "learning_rate": 5.491942011544342e-06, + "loss": 0.8944, + "step": 27989 + }, + { + "epoch": 0.66, + "grad_norm": 1.5875170160661656, + "learning_rate": 5.4912609173899255e-06, + "loss": 0.829, + "step": 27990 + }, + { + "epoch": 0.66, + "grad_norm": 1.6177660932232283, + "learning_rate": 5.490579849486819e-06, + "loss": 0.8242, + "step": 27991 + }, + { + "epoch": 0.66, + "grad_norm": 1.5383521827663407, + "learning_rate": 5.48989880783898e-06, + "loss": 0.8191, + "step": 27992 + }, + { + "epoch": 0.66, + "grad_norm": 0.7666914980328898, + "learning_rate": 5.489217792450383e-06, + "loss": 0.7222, + "step": 27993 + }, + { + "epoch": 0.66, + "grad_norm": 1.6364409411987835, + "learning_rate": 5.488536803324989e-06, + "loss": 0.9193, + "step": 27994 + }, + { + "epoch": 0.66, + "grad_norm": 1.6879120914321704, + "learning_rate": 5.487855840466756e-06, + "loss": 0.8437, + "step": 27995 + }, + { + "epoch": 0.66, + "grad_norm": 1.7668455321106427, + "learning_rate": 5.4871749038796554e-06, + "loss": 0.9054, + "step": 27996 + }, + { + "epoch": 0.66, + "grad_norm": 1.4688075671500807, + "learning_rate": 5.486493993567654e-06, + "loss": 0.8071, + "step": 27997 + }, + { + "epoch": 0.66, + "grad_norm": 0.7581039615502732, + "learning_rate": 5.485813109534716e-06, + "loss": 0.7431, + "step": 27998 + }, + { + "epoch": 0.66, + "grad_norm": 1.556781460310099, + "learning_rate": 5.485132251784797e-06, + "loss": 0.8506, + "step": 27999 + }, + { + "epoch": 0.66, + "grad_norm": 1.5678640312797867, + "learning_rate": 5.484451420321869e-06, + "loss": 0.8863, + "step": 28000 + }, + { + "epoch": 0.66, + "grad_norm": 1.54942322611338, + "learning_rate": 5.483770615149898e-06, + "loss": 0.8426, + "step": 28001 + }, + { + "epoch": 0.66, + "grad_norm": 1.8182076431574865, + "learning_rate": 5.483089836272844e-06, + "loss": 0.8412, + "step": 28002 + }, + { + "epoch": 0.66, + "grad_norm": 1.6621337346829896, + "learning_rate": 5.482409083694667e-06, + "loss": 0.8772, + "step": 28003 + }, + { + "epoch": 0.66, + "grad_norm": 0.8087785864170889, + "learning_rate": 5.481728357419336e-06, + "loss": 0.728, + "step": 28004 + }, + { + "epoch": 0.66, + "grad_norm": 1.5029078208405882, + "learning_rate": 5.481047657450816e-06, + "loss": 0.8279, + "step": 28005 + }, + { + "epoch": 0.66, + "grad_norm": 1.9060106810769823, + "learning_rate": 5.480366983793066e-06, + "loss": 1.0058, + "step": 28006 + }, + { + "epoch": 0.66, + "grad_norm": 1.615649335685592, + "learning_rate": 5.479686336450047e-06, + "loss": 0.8853, + "step": 28007 + }, + { + "epoch": 0.66, + "grad_norm": 1.870884063482596, + "learning_rate": 5.479005715425725e-06, + "loss": 0.8761, + "step": 28008 + }, + { + "epoch": 0.66, + "grad_norm": 1.7955656371897366, + "learning_rate": 5.4783251207240685e-06, + "loss": 0.8207, + "step": 28009 + }, + { + "epoch": 0.66, + "grad_norm": 1.6825283842334344, + "learning_rate": 5.477644552349033e-06, + "loss": 0.9638, + "step": 28010 + }, + { + "epoch": 0.66, + "grad_norm": 1.563908102727641, + "learning_rate": 5.476964010304579e-06, + "loss": 0.8216, + "step": 28011 + }, + { + "epoch": 0.66, + "grad_norm": 1.6030475439690863, + "learning_rate": 5.476283494594677e-06, + "loss": 0.8683, + "step": 28012 + }, + { + "epoch": 0.66, + "grad_norm": 1.7453496662526142, + "learning_rate": 5.475603005223281e-06, + "loss": 0.8572, + "step": 28013 + }, + { + "epoch": 0.66, + "grad_norm": 1.5297961511081373, + "learning_rate": 5.474922542194361e-06, + "loss": 0.8323, + "step": 28014 + }, + { + "epoch": 0.66, + "grad_norm": 1.538171041609204, + "learning_rate": 5.4742421055118686e-06, + "loss": 0.8296, + "step": 28015 + }, + { + "epoch": 0.66, + "grad_norm": 1.710737763961326, + "learning_rate": 5.473561695179777e-06, + "loss": 0.9412, + "step": 28016 + }, + { + "epoch": 0.66, + "grad_norm": 1.8841748840397685, + "learning_rate": 5.472881311202039e-06, + "loss": 0.8059, + "step": 28017 + }, + { + "epoch": 0.66, + "grad_norm": 1.8998573217802626, + "learning_rate": 5.472200953582622e-06, + "loss": 0.8732, + "step": 28018 + }, + { + "epoch": 0.66, + "grad_norm": 1.983996945683618, + "learning_rate": 5.471520622325484e-06, + "loss": 0.9622, + "step": 28019 + }, + { + "epoch": 0.66, + "grad_norm": 1.673818612328999, + "learning_rate": 5.470840317434584e-06, + "loss": 0.9047, + "step": 28020 + }, + { + "epoch": 0.66, + "grad_norm": 1.5459612963045688, + "learning_rate": 5.470160038913884e-06, + "loss": 0.8321, + "step": 28021 + }, + { + "epoch": 0.66, + "grad_norm": 1.56310544048582, + "learning_rate": 5.469479786767351e-06, + "loss": 0.9665, + "step": 28022 + }, + { + "epoch": 0.66, + "grad_norm": 1.6379882991360128, + "learning_rate": 5.468799560998942e-06, + "loss": 0.8275, + "step": 28023 + }, + { + "epoch": 0.66, + "grad_norm": 1.5552705885398348, + "learning_rate": 5.468119361612612e-06, + "loss": 0.8269, + "step": 28024 + }, + { + "epoch": 0.66, + "grad_norm": 1.7803986087715835, + "learning_rate": 5.467439188612326e-06, + "loss": 0.9374, + "step": 28025 + }, + { + "epoch": 0.66, + "grad_norm": 1.93141761664129, + "learning_rate": 5.4667590420020475e-06, + "loss": 0.8209, + "step": 28026 + }, + { + "epoch": 0.66, + "grad_norm": 1.583365454847993, + "learning_rate": 5.466078921785733e-06, + "loss": 0.7993, + "step": 28027 + }, + { + "epoch": 0.66, + "grad_norm": 1.5019567421992364, + "learning_rate": 5.465398827967339e-06, + "loss": 0.7712, + "step": 28028 + }, + { + "epoch": 0.66, + "grad_norm": 1.9596506416123696, + "learning_rate": 5.464718760550829e-06, + "loss": 0.8684, + "step": 28029 + }, + { + "epoch": 0.66, + "grad_norm": 1.6233860586297204, + "learning_rate": 5.464038719540166e-06, + "loss": 0.9816, + "step": 28030 + }, + { + "epoch": 0.66, + "grad_norm": 0.7563069018902684, + "learning_rate": 5.463358704939305e-06, + "loss": 0.7215, + "step": 28031 + }, + { + "epoch": 0.66, + "grad_norm": 1.8288264345334002, + "learning_rate": 5.462678716752201e-06, + "loss": 0.8666, + "step": 28032 + }, + { + "epoch": 0.66, + "grad_norm": 1.8145886364088406, + "learning_rate": 5.461998754982825e-06, + "loss": 0.8383, + "step": 28033 + }, + { + "epoch": 0.66, + "grad_norm": 1.6800984718660388, + "learning_rate": 5.461318819635122e-06, + "loss": 0.8249, + "step": 28034 + }, + { + "epoch": 0.66, + "grad_norm": 1.6363442768641032, + "learning_rate": 5.4606389107130634e-06, + "loss": 0.9377, + "step": 28035 + }, + { + "epoch": 0.66, + "grad_norm": 2.5595935685416795, + "learning_rate": 5.459959028220597e-06, + "loss": 0.6578, + "step": 28036 + }, + { + "epoch": 0.66, + "grad_norm": 0.7862490000961496, + "learning_rate": 5.459279172161691e-06, + "loss": 0.7379, + "step": 28037 + }, + { + "epoch": 0.66, + "grad_norm": 2.0775030866802506, + "learning_rate": 5.458599342540296e-06, + "loss": 0.8959, + "step": 28038 + }, + { + "epoch": 0.66, + "grad_norm": 1.4839959491162658, + "learning_rate": 5.457919539360377e-06, + "loss": 0.8453, + "step": 28039 + }, + { + "epoch": 0.66, + "grad_norm": 1.5879073450412329, + "learning_rate": 5.457239762625888e-06, + "loss": 0.7618, + "step": 28040 + }, + { + "epoch": 0.66, + "grad_norm": 1.6070993289673043, + "learning_rate": 5.456560012340784e-06, + "loss": 0.7654, + "step": 28041 + }, + { + "epoch": 0.66, + "grad_norm": 1.4505208555557711, + "learning_rate": 5.4558802885090255e-06, + "loss": 0.8746, + "step": 28042 + }, + { + "epoch": 0.66, + "grad_norm": 1.55712755706118, + "learning_rate": 5.455200591134574e-06, + "loss": 0.8909, + "step": 28043 + }, + { + "epoch": 0.66, + "grad_norm": 1.5819877828260343, + "learning_rate": 5.4545209202213845e-06, + "loss": 0.7752, + "step": 28044 + }, + { + "epoch": 0.66, + "grad_norm": 1.8024776865969225, + "learning_rate": 5.453841275773408e-06, + "loss": 0.8692, + "step": 28045 + }, + { + "epoch": 0.66, + "grad_norm": 1.4957281832964864, + "learning_rate": 5.453161657794609e-06, + "loss": 0.8524, + "step": 28046 + }, + { + "epoch": 0.66, + "grad_norm": 1.5954880821577926, + "learning_rate": 5.452482066288945e-06, + "loss": 1.0251, + "step": 28047 + }, + { + "epoch": 0.66, + "grad_norm": 1.5860470216983247, + "learning_rate": 5.45180250126037e-06, + "loss": 0.914, + "step": 28048 + }, + { + "epoch": 0.66, + "grad_norm": 1.6506212981822426, + "learning_rate": 5.451122962712838e-06, + "loss": 0.8743, + "step": 28049 + }, + { + "epoch": 0.66, + "grad_norm": 0.818925237882966, + "learning_rate": 5.450443450650306e-06, + "loss": 0.7046, + "step": 28050 + }, + { + "epoch": 0.66, + "grad_norm": 1.7616179753719272, + "learning_rate": 5.449763965076739e-06, + "loss": 0.6852, + "step": 28051 + }, + { + "epoch": 0.66, + "grad_norm": 1.5842976981597703, + "learning_rate": 5.449084505996085e-06, + "loss": 0.7801, + "step": 28052 + }, + { + "epoch": 0.66, + "grad_norm": 1.6411237970468973, + "learning_rate": 5.4484050734122995e-06, + "loss": 0.7325, + "step": 28053 + }, + { + "epoch": 0.66, + "grad_norm": 1.4759578985910373, + "learning_rate": 5.447725667329343e-06, + "loss": 0.8742, + "step": 28054 + }, + { + "epoch": 0.66, + "grad_norm": 1.745423692111868, + "learning_rate": 5.447046287751165e-06, + "loss": 0.8562, + "step": 28055 + }, + { + "epoch": 0.66, + "grad_norm": 1.7607211962917486, + "learning_rate": 5.446366934681731e-06, + "loss": 0.7554, + "step": 28056 + }, + { + "epoch": 0.66, + "grad_norm": 1.556288087436046, + "learning_rate": 5.445687608124984e-06, + "loss": 0.9248, + "step": 28057 + }, + { + "epoch": 0.66, + "grad_norm": 1.4854191957535605, + "learning_rate": 5.445008308084892e-06, + "loss": 0.8853, + "step": 28058 + }, + { + "epoch": 0.66, + "grad_norm": 1.6245896032236176, + "learning_rate": 5.444329034565397e-06, + "loss": 0.7832, + "step": 28059 + }, + { + "epoch": 0.66, + "grad_norm": 1.5266961216655424, + "learning_rate": 5.443649787570467e-06, + "loss": 0.8777, + "step": 28060 + }, + { + "epoch": 0.66, + "grad_norm": 1.6985943241612314, + "learning_rate": 5.4429705671040486e-06, + "loss": 0.9105, + "step": 28061 + }, + { + "epoch": 0.66, + "grad_norm": 1.721798612763468, + "learning_rate": 5.442291373170095e-06, + "loss": 0.888, + "step": 28062 + }, + { + "epoch": 0.66, + "grad_norm": 1.525307967812844, + "learning_rate": 5.441612205772564e-06, + "loss": 0.853, + "step": 28063 + }, + { + "epoch": 0.66, + "grad_norm": 1.8339245039500434, + "learning_rate": 5.440933064915414e-06, + "loss": 0.8424, + "step": 28064 + }, + { + "epoch": 0.66, + "grad_norm": 1.7851712072142847, + "learning_rate": 5.440253950602594e-06, + "loss": 0.8521, + "step": 28065 + }, + { + "epoch": 0.66, + "grad_norm": 1.4857348814538687, + "learning_rate": 5.439574862838057e-06, + "loss": 0.8572, + "step": 28066 + }, + { + "epoch": 0.66, + "grad_norm": 2.090945501863575, + "learning_rate": 5.438895801625758e-06, + "loss": 0.8122, + "step": 28067 + }, + { + "epoch": 0.66, + "grad_norm": 1.3851490720836503, + "learning_rate": 5.438216766969655e-06, + "loss": 0.8384, + "step": 28068 + }, + { + "epoch": 0.66, + "grad_norm": 0.7290895492213926, + "learning_rate": 5.437537758873699e-06, + "loss": 0.7195, + "step": 28069 + }, + { + "epoch": 0.66, + "grad_norm": 0.818199414249931, + "learning_rate": 5.436858777341839e-06, + "loss": 0.7386, + "step": 28070 + }, + { + "epoch": 0.66, + "grad_norm": 1.8011492602980186, + "learning_rate": 5.436179822378031e-06, + "loss": 0.84, + "step": 28071 + }, + { + "epoch": 0.66, + "grad_norm": 1.6862598340123718, + "learning_rate": 5.435500893986234e-06, + "loss": 0.9041, + "step": 28072 + }, + { + "epoch": 0.66, + "grad_norm": 1.9200825610489423, + "learning_rate": 5.434821992170396e-06, + "loss": 0.8025, + "step": 28073 + }, + { + "epoch": 0.66, + "grad_norm": 3.4549730878557736, + "learning_rate": 5.434143116934465e-06, + "loss": 0.7837, + "step": 28074 + }, + { + "epoch": 0.66, + "grad_norm": 1.7121404391998671, + "learning_rate": 5.433464268282401e-06, + "loss": 0.7413, + "step": 28075 + }, + { + "epoch": 0.66, + "grad_norm": 1.567698048519791, + "learning_rate": 5.4327854462181515e-06, + "loss": 0.7237, + "step": 28076 + }, + { + "epoch": 0.66, + "grad_norm": 2.5082832429425688, + "learning_rate": 5.432106650745675e-06, + "loss": 0.8542, + "step": 28077 + }, + { + "epoch": 0.66, + "grad_norm": 1.5231607148825015, + "learning_rate": 5.431427881868914e-06, + "loss": 0.8744, + "step": 28078 + }, + { + "epoch": 0.66, + "grad_norm": 1.8907542661098575, + "learning_rate": 5.430749139591833e-06, + "loss": 0.9239, + "step": 28079 + }, + { + "epoch": 0.66, + "grad_norm": 1.6501557682110315, + "learning_rate": 5.430070423918371e-06, + "loss": 0.9156, + "step": 28080 + }, + { + "epoch": 0.66, + "grad_norm": 1.7788519792013298, + "learning_rate": 5.429391734852487e-06, + "loss": 0.8784, + "step": 28081 + }, + { + "epoch": 0.66, + "grad_norm": 2.0143280343983174, + "learning_rate": 5.428713072398139e-06, + "loss": 0.8563, + "step": 28082 + }, + { + "epoch": 0.66, + "grad_norm": 1.5829655478302078, + "learning_rate": 5.4280344365592615e-06, + "loss": 0.8267, + "step": 28083 + }, + { + "epoch": 0.66, + "grad_norm": 2.023437852349145, + "learning_rate": 5.427355827339818e-06, + "loss": 0.7959, + "step": 28084 + }, + { + "epoch": 0.66, + "grad_norm": 1.8243245930682244, + "learning_rate": 5.4266772447437535e-06, + "loss": 0.7715, + "step": 28085 + }, + { + "epoch": 0.66, + "grad_norm": 1.5963384995056649, + "learning_rate": 5.4259986887750315e-06, + "loss": 0.7021, + "step": 28086 + }, + { + "epoch": 0.66, + "grad_norm": 1.6496094353075352, + "learning_rate": 5.4253201594375835e-06, + "loss": 0.7919, + "step": 28087 + }, + { + "epoch": 0.66, + "grad_norm": 1.7324834784298009, + "learning_rate": 5.424641656735372e-06, + "loss": 0.7804, + "step": 28088 + }, + { + "epoch": 0.66, + "grad_norm": 1.6587880189860738, + "learning_rate": 5.423963180672349e-06, + "loss": 0.9303, + "step": 28089 + }, + { + "epoch": 0.66, + "grad_norm": 1.631068201654158, + "learning_rate": 5.4232847312524565e-06, + "loss": 0.9878, + "step": 28090 + }, + { + "epoch": 0.66, + "grad_norm": 3.0513565355457555, + "learning_rate": 5.4226063084796536e-06, + "loss": 0.881, + "step": 28091 + }, + { + "epoch": 0.66, + "grad_norm": 1.694386358088044, + "learning_rate": 5.421927912357881e-06, + "loss": 0.7372, + "step": 28092 + }, + { + "epoch": 0.66, + "grad_norm": 1.6414995413353168, + "learning_rate": 5.421249542891098e-06, + "loss": 0.96, + "step": 28093 + }, + { + "epoch": 0.66, + "grad_norm": 1.5775036784511405, + "learning_rate": 5.420571200083246e-06, + "loss": 0.8234, + "step": 28094 + }, + { + "epoch": 0.66, + "grad_norm": 1.6211443222980453, + "learning_rate": 5.419892883938282e-06, + "loss": 0.7438, + "step": 28095 + }, + { + "epoch": 0.66, + "grad_norm": 1.6456896834228603, + "learning_rate": 5.419214594460152e-06, + "loss": 0.896, + "step": 28096 + }, + { + "epoch": 0.66, + "grad_norm": 1.6661417511833272, + "learning_rate": 5.418536331652802e-06, + "loss": 0.7943, + "step": 28097 + }, + { + "epoch": 0.66, + "grad_norm": 0.7458394696097388, + "learning_rate": 5.417858095520182e-06, + "loss": 0.704, + "step": 28098 + }, + { + "epoch": 0.66, + "grad_norm": 1.5091895289561177, + "learning_rate": 5.417179886066249e-06, + "loss": 0.8675, + "step": 28099 + }, + { + "epoch": 0.66, + "grad_norm": 1.7753153803444888, + "learning_rate": 5.416501703294943e-06, + "loss": 0.7669, + "step": 28100 + }, + { + "epoch": 0.66, + "grad_norm": 0.8115605112084326, + "learning_rate": 5.415823547210213e-06, + "loss": 0.7462, + "step": 28101 + }, + { + "epoch": 0.66, + "grad_norm": 1.8707370360788358, + "learning_rate": 5.415145417816008e-06, + "loss": 0.8331, + "step": 28102 + }, + { + "epoch": 0.66, + "grad_norm": 1.651220656656043, + "learning_rate": 5.414467315116283e-06, + "loss": 0.9055, + "step": 28103 + }, + { + "epoch": 0.66, + "grad_norm": 1.403509357176057, + "learning_rate": 5.4137892391149815e-06, + "loss": 0.6872, + "step": 28104 + }, + { + "epoch": 0.66, + "grad_norm": 1.6908300282866882, + "learning_rate": 5.413111189816047e-06, + "loss": 0.9561, + "step": 28105 + }, + { + "epoch": 0.66, + "grad_norm": 1.8634429410295181, + "learning_rate": 5.41243316722343e-06, + "loss": 0.8746, + "step": 28106 + }, + { + "epoch": 0.66, + "grad_norm": 1.508289964753048, + "learning_rate": 5.411755171341085e-06, + "loss": 0.8204, + "step": 28107 + }, + { + "epoch": 0.66, + "grad_norm": 1.72329861334627, + "learning_rate": 5.411077202172953e-06, + "loss": 0.8815, + "step": 28108 + }, + { + "epoch": 0.66, + "grad_norm": 1.8140762992146866, + "learning_rate": 5.410399259722978e-06, + "loss": 0.9924, + "step": 28109 + }, + { + "epoch": 0.66, + "grad_norm": 0.7833989114853241, + "learning_rate": 5.409721343995116e-06, + "loss": 0.7569, + "step": 28110 + }, + { + "epoch": 0.66, + "grad_norm": 1.9126967773622519, + "learning_rate": 5.409043454993307e-06, + "loss": 0.7574, + "step": 28111 + }, + { + "epoch": 0.66, + "grad_norm": 1.9301283235629987, + "learning_rate": 5.408365592721503e-06, + "loss": 0.896, + "step": 28112 + }, + { + "epoch": 0.66, + "grad_norm": 1.732850906809442, + "learning_rate": 5.407687757183645e-06, + "loss": 0.9153, + "step": 28113 + }, + { + "epoch": 0.66, + "grad_norm": 2.8138844059305272, + "learning_rate": 5.407009948383686e-06, + "loss": 0.7972, + "step": 28114 + }, + { + "epoch": 0.66, + "grad_norm": 1.6550976611377202, + "learning_rate": 5.406332166325565e-06, + "loss": 0.8031, + "step": 28115 + }, + { + "epoch": 0.66, + "grad_norm": 1.6100703921155899, + "learning_rate": 5.405654411013237e-06, + "loss": 0.8701, + "step": 28116 + }, + { + "epoch": 0.66, + "grad_norm": 1.5449800858641156, + "learning_rate": 5.404976682450644e-06, + "loss": 0.9158, + "step": 28117 + }, + { + "epoch": 0.66, + "grad_norm": 1.659017622694868, + "learning_rate": 5.404298980641727e-06, + "loss": 0.7945, + "step": 28118 + }, + { + "epoch": 0.66, + "grad_norm": 1.5538186076869016, + "learning_rate": 5.403621305590436e-06, + "loss": 0.9092, + "step": 28119 + }, + { + "epoch": 0.66, + "grad_norm": 1.6722322415260926, + "learning_rate": 5.402943657300722e-06, + "loss": 0.7774, + "step": 28120 + }, + { + "epoch": 0.66, + "grad_norm": 1.4664651343040502, + "learning_rate": 5.402266035776525e-06, + "loss": 0.8851, + "step": 28121 + }, + { + "epoch": 0.66, + "grad_norm": 1.5334836308407045, + "learning_rate": 5.401588441021786e-06, + "loss": 0.8233, + "step": 28122 + }, + { + "epoch": 0.66, + "grad_norm": 1.7746291744989975, + "learning_rate": 5.400910873040456e-06, + "loss": 0.8177, + "step": 28123 + }, + { + "epoch": 0.66, + "grad_norm": 1.5837928947682447, + "learning_rate": 5.400233331836482e-06, + "loss": 0.8517, + "step": 28124 + }, + { + "epoch": 0.66, + "grad_norm": 1.7024898135945676, + "learning_rate": 5.399555817413806e-06, + "loss": 0.8199, + "step": 28125 + }, + { + "epoch": 0.66, + "grad_norm": 1.624482766185234, + "learning_rate": 5.398878329776369e-06, + "loss": 0.7839, + "step": 28126 + }, + { + "epoch": 0.66, + "grad_norm": 1.6549558032877212, + "learning_rate": 5.398200868928118e-06, + "loss": 0.8221, + "step": 28127 + }, + { + "epoch": 0.66, + "grad_norm": 1.5559328561702055, + "learning_rate": 5.397523434873004e-06, + "loss": 0.8125, + "step": 28128 + }, + { + "epoch": 0.66, + "grad_norm": 1.4676173709774933, + "learning_rate": 5.3968460276149645e-06, + "loss": 0.7962, + "step": 28129 + }, + { + "epoch": 0.66, + "grad_norm": 1.8744194188326648, + "learning_rate": 5.396168647157942e-06, + "loss": 0.8711, + "step": 28130 + }, + { + "epoch": 0.66, + "grad_norm": 1.5965891121734948, + "learning_rate": 5.395491293505881e-06, + "loss": 0.8081, + "step": 28131 + }, + { + "epoch": 0.66, + "grad_norm": 1.8068471108177602, + "learning_rate": 5.3948139666627335e-06, + "loss": 0.8633, + "step": 28132 + }, + { + "epoch": 0.66, + "grad_norm": 1.4438119102549942, + "learning_rate": 5.394136666632437e-06, + "loss": 0.7571, + "step": 28133 + }, + { + "epoch": 0.66, + "grad_norm": 1.894337492951365, + "learning_rate": 5.3934593934189295e-06, + "loss": 0.883, + "step": 28134 + }, + { + "epoch": 0.66, + "grad_norm": 1.5064373033153435, + "learning_rate": 5.392782147026166e-06, + "loss": 0.6963, + "step": 28135 + }, + { + "epoch": 0.66, + "grad_norm": 1.6355238349562449, + "learning_rate": 5.392104927458077e-06, + "loss": 0.8717, + "step": 28136 + }, + { + "epoch": 0.66, + "grad_norm": 1.5761484366840397, + "learning_rate": 5.3914277347186174e-06, + "loss": 0.9336, + "step": 28137 + }, + { + "epoch": 0.66, + "grad_norm": 1.588480340442072, + "learning_rate": 5.39075056881172e-06, + "loss": 0.7472, + "step": 28138 + }, + { + "epoch": 0.66, + "grad_norm": 1.6764834147843968, + "learning_rate": 5.390073429741336e-06, + "loss": 0.7392, + "step": 28139 + }, + { + "epoch": 0.66, + "grad_norm": 0.7470232399823803, + "learning_rate": 5.389396317511401e-06, + "loss": 0.6886, + "step": 28140 + }, + { + "epoch": 0.66, + "grad_norm": 1.5762025879143362, + "learning_rate": 5.388719232125863e-06, + "loss": 0.8857, + "step": 28141 + }, + { + "epoch": 0.66, + "grad_norm": 2.181084282083003, + "learning_rate": 5.388042173588662e-06, + "loss": 0.7962, + "step": 28142 + }, + { + "epoch": 0.66, + "grad_norm": 1.560915745401537, + "learning_rate": 5.387365141903735e-06, + "loss": 0.8086, + "step": 28143 + }, + { + "epoch": 0.66, + "grad_norm": 1.4787773229609418, + "learning_rate": 5.386688137075031e-06, + "loss": 0.8109, + "step": 28144 + }, + { + "epoch": 0.66, + "grad_norm": 1.8896033144431557, + "learning_rate": 5.38601115910649e-06, + "loss": 0.8681, + "step": 28145 + }, + { + "epoch": 0.66, + "grad_norm": 1.927117397392163, + "learning_rate": 5.385334208002055e-06, + "loss": 0.9119, + "step": 28146 + }, + { + "epoch": 0.66, + "grad_norm": 1.4751650835238321, + "learning_rate": 5.384657283765661e-06, + "loss": 0.8273, + "step": 28147 + }, + { + "epoch": 0.66, + "grad_norm": 1.9082636986772645, + "learning_rate": 5.383980386401253e-06, + "loss": 0.9212, + "step": 28148 + }, + { + "epoch": 0.66, + "grad_norm": 1.8752699996281257, + "learning_rate": 5.383303515912777e-06, + "loss": 0.7995, + "step": 28149 + }, + { + "epoch": 0.66, + "grad_norm": 2.2437236653397727, + "learning_rate": 5.382626672304168e-06, + "loss": 0.7929, + "step": 28150 + }, + { + "epoch": 0.66, + "grad_norm": 1.7950451033892327, + "learning_rate": 5.381949855579365e-06, + "loss": 0.8666, + "step": 28151 + }, + { + "epoch": 0.66, + "grad_norm": 1.7583885436301132, + "learning_rate": 5.381273065742313e-06, + "loss": 0.8338, + "step": 28152 + }, + { + "epoch": 0.66, + "grad_norm": 0.7614591629775389, + "learning_rate": 5.380596302796954e-06, + "loss": 0.6992, + "step": 28153 + }, + { + "epoch": 0.66, + "grad_norm": 1.908098624306378, + "learning_rate": 5.379919566747227e-06, + "loss": 0.8601, + "step": 28154 + }, + { + "epoch": 0.66, + "grad_norm": 1.4785204459213186, + "learning_rate": 5.379242857597067e-06, + "loss": 0.7136, + "step": 28155 + }, + { + "epoch": 0.66, + "grad_norm": 1.5203461325833072, + "learning_rate": 5.378566175350421e-06, + "loss": 1.034, + "step": 28156 + }, + { + "epoch": 0.66, + "grad_norm": 2.1044242030865727, + "learning_rate": 5.377889520011224e-06, + "loss": 0.7774, + "step": 28157 + }, + { + "epoch": 0.66, + "grad_norm": 1.7975914049516508, + "learning_rate": 5.377212891583419e-06, + "loss": 0.9876, + "step": 28158 + }, + { + "epoch": 0.66, + "grad_norm": 1.6276906857224176, + "learning_rate": 5.376536290070942e-06, + "loss": 0.8401, + "step": 28159 + }, + { + "epoch": 0.66, + "grad_norm": 1.6985156970166984, + "learning_rate": 5.375859715477738e-06, + "loss": 0.9376, + "step": 28160 + }, + { + "epoch": 0.66, + "grad_norm": 1.636593281450099, + "learning_rate": 5.3751831678077385e-06, + "loss": 0.7854, + "step": 28161 + }, + { + "epoch": 0.66, + "grad_norm": 1.5130325178033668, + "learning_rate": 5.3745066470648895e-06, + "loss": 0.7286, + "step": 28162 + }, + { + "epoch": 0.66, + "grad_norm": 1.509442325403182, + "learning_rate": 5.373830153253129e-06, + "loss": 0.8721, + "step": 28163 + }, + { + "epoch": 0.66, + "grad_norm": 1.7318218212173762, + "learning_rate": 5.373153686376389e-06, + "loss": 0.8539, + "step": 28164 + }, + { + "epoch": 0.66, + "grad_norm": 1.4863908816679943, + "learning_rate": 5.3724772464386145e-06, + "loss": 0.904, + "step": 28165 + }, + { + "epoch": 0.66, + "grad_norm": 1.7062918424360984, + "learning_rate": 5.371800833443741e-06, + "loss": 0.762, + "step": 28166 + }, + { + "epoch": 0.66, + "grad_norm": 1.4265580421964161, + "learning_rate": 5.371124447395717e-06, + "loss": 0.9027, + "step": 28167 + }, + { + "epoch": 0.66, + "grad_norm": 1.5317476786334923, + "learning_rate": 5.370448088298463e-06, + "loss": 0.862, + "step": 28168 + }, + { + "epoch": 0.66, + "grad_norm": 1.6016036220794116, + "learning_rate": 5.369771756155926e-06, + "loss": 0.9572, + "step": 28169 + }, + { + "epoch": 0.66, + "grad_norm": 1.526936026467171, + "learning_rate": 5.3690954509720484e-06, + "loss": 0.9189, + "step": 28170 + }, + { + "epoch": 0.66, + "grad_norm": 1.6009307486136077, + "learning_rate": 5.368419172750763e-06, + "loss": 0.8678, + "step": 28171 + }, + { + "epoch": 0.66, + "grad_norm": 1.6285240464246968, + "learning_rate": 5.367742921496004e-06, + "loss": 1.0371, + "step": 28172 + }, + { + "epoch": 0.66, + "grad_norm": 0.8024747371990572, + "learning_rate": 5.367066697211711e-06, + "loss": 0.7414, + "step": 28173 + }, + { + "epoch": 0.66, + "grad_norm": 1.5412307561216625, + "learning_rate": 5.366390499901828e-06, + "loss": 0.899, + "step": 28174 + }, + { + "epoch": 0.66, + "grad_norm": 0.7983494508490417, + "learning_rate": 5.365714329570286e-06, + "loss": 0.7131, + "step": 28175 + }, + { + "epoch": 0.66, + "grad_norm": 1.5818702087809378, + "learning_rate": 5.3650381862210185e-06, + "loss": 0.7328, + "step": 28176 + }, + { + "epoch": 0.66, + "grad_norm": 1.9608082734063887, + "learning_rate": 5.364362069857969e-06, + "loss": 0.8593, + "step": 28177 + }, + { + "epoch": 0.66, + "grad_norm": 1.5554752710862292, + "learning_rate": 5.363685980485069e-06, + "loss": 0.8251, + "step": 28178 + }, + { + "epoch": 0.66, + "grad_norm": 1.623055217261858, + "learning_rate": 5.363009918106256e-06, + "loss": 0.8989, + "step": 28179 + }, + { + "epoch": 0.66, + "grad_norm": 1.5089945817910662, + "learning_rate": 5.362333882725471e-06, + "loss": 0.8742, + "step": 28180 + }, + { + "epoch": 0.66, + "grad_norm": 0.7580078878136364, + "learning_rate": 5.361657874346647e-06, + "loss": 0.7013, + "step": 28181 + }, + { + "epoch": 0.66, + "grad_norm": 1.604868260960673, + "learning_rate": 5.360981892973716e-06, + "loss": 0.7423, + "step": 28182 + }, + { + "epoch": 0.66, + "grad_norm": 1.5793830596202005, + "learning_rate": 5.3603059386106145e-06, + "loss": 0.8256, + "step": 28183 + }, + { + "epoch": 0.66, + "grad_norm": 2.1536532009028813, + "learning_rate": 5.359630011261291e-06, + "loss": 0.8952, + "step": 28184 + }, + { + "epoch": 0.66, + "grad_norm": 1.62645722169201, + "learning_rate": 5.3589541109296615e-06, + "loss": 0.8736, + "step": 28185 + }, + { + "epoch": 0.66, + "grad_norm": 1.8089420166930132, + "learning_rate": 5.358278237619672e-06, + "loss": 0.8281, + "step": 28186 + }, + { + "epoch": 0.66, + "grad_norm": 1.7922941023064425, + "learning_rate": 5.357602391335255e-06, + "loss": 0.8731, + "step": 28187 + }, + { + "epoch": 0.66, + "grad_norm": 1.8228957139951134, + "learning_rate": 5.35692657208035e-06, + "loss": 0.8343, + "step": 28188 + }, + { + "epoch": 0.66, + "grad_norm": 0.7872919743905429, + "learning_rate": 5.356250779858889e-06, + "loss": 0.7792, + "step": 28189 + }, + { + "epoch": 0.66, + "grad_norm": 1.7040470291500622, + "learning_rate": 5.3555750146748034e-06, + "loss": 0.913, + "step": 28190 + }, + { + "epoch": 0.66, + "grad_norm": 1.5032654680392878, + "learning_rate": 5.354899276532033e-06, + "loss": 0.8066, + "step": 28191 + }, + { + "epoch": 0.66, + "grad_norm": 1.5919904393893602, + "learning_rate": 5.354223565434507e-06, + "loss": 0.928, + "step": 28192 + }, + { + "epoch": 0.66, + "grad_norm": 1.4924385400441318, + "learning_rate": 5.353547881386165e-06, + "loss": 0.8906, + "step": 28193 + }, + { + "epoch": 0.66, + "grad_norm": 1.6412688411311864, + "learning_rate": 5.3528722243909346e-06, + "loss": 0.8361, + "step": 28194 + }, + { + "epoch": 0.66, + "grad_norm": 1.7225785315109552, + "learning_rate": 5.352196594452756e-06, + "loss": 0.9122, + "step": 28195 + }, + { + "epoch": 0.66, + "grad_norm": 1.717324481103857, + "learning_rate": 5.351520991575558e-06, + "loss": 0.9082, + "step": 28196 + }, + { + "epoch": 0.66, + "grad_norm": 1.5482378150370923, + "learning_rate": 5.3508454157632815e-06, + "loss": 1.0615, + "step": 28197 + }, + { + "epoch": 0.66, + "grad_norm": 0.7881019015967208, + "learning_rate": 5.350169867019853e-06, + "loss": 0.7308, + "step": 28198 + }, + { + "epoch": 0.66, + "grad_norm": 2.4825027569742852, + "learning_rate": 5.349494345349204e-06, + "loss": 0.9047, + "step": 28199 + }, + { + "epoch": 0.66, + "grad_norm": 1.5973699939432757, + "learning_rate": 5.348818850755272e-06, + "loss": 0.8758, + "step": 28200 + }, + { + "epoch": 0.66, + "grad_norm": 1.6788755107212805, + "learning_rate": 5.348143383241992e-06, + "loss": 0.8487, + "step": 28201 + }, + { + "epoch": 0.66, + "grad_norm": 1.635287942408266, + "learning_rate": 5.347467942813296e-06, + "loss": 0.8409, + "step": 28202 + }, + { + "epoch": 0.66, + "grad_norm": 1.7139257643476107, + "learning_rate": 5.346792529473108e-06, + "loss": 0.9024, + "step": 28203 + }, + { + "epoch": 0.66, + "grad_norm": 1.5861770788493825, + "learning_rate": 5.346117143225369e-06, + "loss": 0.8434, + "step": 28204 + }, + { + "epoch": 0.66, + "grad_norm": 1.6721233818699688, + "learning_rate": 5.3454417840740125e-06, + "loss": 0.8245, + "step": 28205 + }, + { + "epoch": 0.66, + "grad_norm": 1.6392437158727229, + "learning_rate": 5.344766452022967e-06, + "loss": 0.957, + "step": 28206 + }, + { + "epoch": 0.66, + "grad_norm": 1.5732136211319154, + "learning_rate": 5.344091147076162e-06, + "loss": 0.8556, + "step": 28207 + }, + { + "epoch": 0.66, + "grad_norm": 1.944918062270655, + "learning_rate": 5.343415869237533e-06, + "loss": 0.7227, + "step": 28208 + }, + { + "epoch": 0.66, + "grad_norm": 1.7672261292334532, + "learning_rate": 5.342740618511013e-06, + "loss": 0.8639, + "step": 28209 + }, + { + "epoch": 0.66, + "grad_norm": 1.699538244912174, + "learning_rate": 5.342065394900533e-06, + "loss": 0.9627, + "step": 28210 + }, + { + "epoch": 0.66, + "grad_norm": 1.9310079047800917, + "learning_rate": 5.3413901984100195e-06, + "loss": 0.5897, + "step": 28211 + }, + { + "epoch": 0.66, + "grad_norm": 2.029067286620054, + "learning_rate": 5.340715029043411e-06, + "loss": 0.8811, + "step": 28212 + }, + { + "epoch": 0.66, + "grad_norm": 2.6667908636421656, + "learning_rate": 5.3400398868046285e-06, + "loss": 0.7343, + "step": 28213 + }, + { + "epoch": 0.66, + "grad_norm": 1.5558072753927286, + "learning_rate": 5.339364771697615e-06, + "loss": 0.9552, + "step": 28214 + }, + { + "epoch": 0.66, + "grad_norm": 1.470444387151761, + "learning_rate": 5.338689683726291e-06, + "loss": 0.8683, + "step": 28215 + }, + { + "epoch": 0.66, + "grad_norm": 1.7230369468617843, + "learning_rate": 5.338014622894596e-06, + "loss": 0.9964, + "step": 28216 + }, + { + "epoch": 0.66, + "grad_norm": 1.9780684816505674, + "learning_rate": 5.337339589206452e-06, + "loss": 0.8343, + "step": 28217 + }, + { + "epoch": 0.66, + "grad_norm": 1.734585945276858, + "learning_rate": 5.3366645826657956e-06, + "loss": 0.8104, + "step": 28218 + }, + { + "epoch": 0.66, + "grad_norm": 2.5627606500193045, + "learning_rate": 5.3359896032765545e-06, + "loss": 0.9169, + "step": 28219 + }, + { + "epoch": 0.66, + "grad_norm": 1.5100155047366988, + "learning_rate": 5.335314651042656e-06, + "loss": 0.8918, + "step": 28220 + }, + { + "epoch": 0.66, + "grad_norm": 1.7068966081635502, + "learning_rate": 5.334639725968031e-06, + "loss": 0.908, + "step": 28221 + }, + { + "epoch": 0.66, + "grad_norm": 1.406203504048687, + "learning_rate": 5.333964828056615e-06, + "loss": 0.7718, + "step": 28222 + }, + { + "epoch": 0.66, + "grad_norm": 1.6635536541632028, + "learning_rate": 5.333289957312333e-06, + "loss": 0.8661, + "step": 28223 + }, + { + "epoch": 0.66, + "grad_norm": 1.3548819210541174, + "learning_rate": 5.332615113739111e-06, + "loss": 0.8475, + "step": 28224 + }, + { + "epoch": 0.66, + "grad_norm": 2.0031090385064516, + "learning_rate": 5.3319402973408805e-06, + "loss": 0.7907, + "step": 28225 + }, + { + "epoch": 0.66, + "grad_norm": 1.5522251915971848, + "learning_rate": 5.331265508121577e-06, + "loss": 0.8009, + "step": 28226 + }, + { + "epoch": 0.67, + "grad_norm": 1.5099973717399062, + "learning_rate": 5.330590746085122e-06, + "loss": 0.7968, + "step": 28227 + }, + { + "epoch": 0.67, + "grad_norm": 1.3790050371709544, + "learning_rate": 5.329916011235443e-06, + "loss": 0.7453, + "step": 28228 + }, + { + "epoch": 0.67, + "grad_norm": 1.7121194252791436, + "learning_rate": 5.329241303576471e-06, + "loss": 0.8392, + "step": 28229 + }, + { + "epoch": 0.67, + "grad_norm": 1.5884675769618897, + "learning_rate": 5.328566623112139e-06, + "loss": 0.8759, + "step": 28230 + }, + { + "epoch": 0.67, + "grad_norm": 1.5005911978151898, + "learning_rate": 5.327891969846371e-06, + "loss": 0.7513, + "step": 28231 + }, + { + "epoch": 0.67, + "grad_norm": 1.6495773159364955, + "learning_rate": 5.327217343783091e-06, + "loss": 0.8489, + "step": 28232 + }, + { + "epoch": 0.67, + "grad_norm": 1.6589116014242933, + "learning_rate": 5.326542744926235e-06, + "loss": 0.8206, + "step": 28233 + }, + { + "epoch": 0.67, + "grad_norm": 1.3493375452044982, + "learning_rate": 5.325868173279725e-06, + "loss": 0.782, + "step": 28234 + }, + { + "epoch": 0.67, + "grad_norm": 1.610856129412788, + "learning_rate": 5.325193628847492e-06, + "loss": 0.8853, + "step": 28235 + }, + { + "epoch": 0.67, + "grad_norm": 1.989080449275436, + "learning_rate": 5.324519111633457e-06, + "loss": 0.9731, + "step": 28236 + }, + { + "epoch": 0.67, + "grad_norm": 1.6671086587111459, + "learning_rate": 5.323844621641556e-06, + "loss": 0.9589, + "step": 28237 + }, + { + "epoch": 0.67, + "grad_norm": 0.6945009732495951, + "learning_rate": 5.32317015887571e-06, + "loss": 0.6912, + "step": 28238 + }, + { + "epoch": 0.67, + "grad_norm": 1.6855767765824137, + "learning_rate": 5.322495723339851e-06, + "loss": 0.8108, + "step": 28239 + }, + { + "epoch": 0.67, + "grad_norm": 1.725444979154409, + "learning_rate": 5.321821315037903e-06, + "loss": 0.8881, + "step": 28240 + }, + { + "epoch": 0.67, + "grad_norm": 1.5715021767908524, + "learning_rate": 5.3211469339737885e-06, + "loss": 0.8227, + "step": 28241 + }, + { + "epoch": 0.67, + "grad_norm": 1.8055463359911528, + "learning_rate": 5.320472580151437e-06, + "loss": 0.9197, + "step": 28242 + }, + { + "epoch": 0.67, + "grad_norm": 1.6465676738838633, + "learning_rate": 5.31979825357478e-06, + "loss": 0.9053, + "step": 28243 + }, + { + "epoch": 0.67, + "grad_norm": 1.801170748360046, + "learning_rate": 5.31912395424774e-06, + "loss": 0.7816, + "step": 28244 + }, + { + "epoch": 0.67, + "grad_norm": 1.7980793708440224, + "learning_rate": 5.318449682174238e-06, + "loss": 0.8451, + "step": 28245 + }, + { + "epoch": 0.67, + "grad_norm": 2.4411531677796705, + "learning_rate": 5.317775437358203e-06, + "loss": 0.845, + "step": 28246 + }, + { + "epoch": 0.67, + "grad_norm": 1.6531834869638915, + "learning_rate": 5.317101219803566e-06, + "loss": 0.7715, + "step": 28247 + }, + { + "epoch": 0.67, + "grad_norm": 2.1951325117036307, + "learning_rate": 5.316427029514251e-06, + "loss": 0.8682, + "step": 28248 + }, + { + "epoch": 0.67, + "grad_norm": 1.6473340505244762, + "learning_rate": 5.315752866494174e-06, + "loss": 0.7307, + "step": 28249 + }, + { + "epoch": 0.67, + "grad_norm": 1.7362371759368531, + "learning_rate": 5.315078730747268e-06, + "loss": 0.9804, + "step": 28250 + }, + { + "epoch": 0.67, + "grad_norm": 1.5611280417788516, + "learning_rate": 5.3144046222774595e-06, + "loss": 0.7695, + "step": 28251 + }, + { + "epoch": 0.67, + "grad_norm": 1.5218837245543846, + "learning_rate": 5.313730541088671e-06, + "loss": 0.8585, + "step": 28252 + }, + { + "epoch": 0.67, + "grad_norm": 1.5806502872961763, + "learning_rate": 5.313056487184824e-06, + "loss": 0.8171, + "step": 28253 + }, + { + "epoch": 0.67, + "grad_norm": 1.6564170208733398, + "learning_rate": 5.3123824605698444e-06, + "loss": 0.9101, + "step": 28254 + }, + { + "epoch": 0.67, + "grad_norm": 1.5252053026156285, + "learning_rate": 5.311708461247664e-06, + "loss": 0.7643, + "step": 28255 + }, + { + "epoch": 0.67, + "grad_norm": 1.6563378950664631, + "learning_rate": 5.3110344892222e-06, + "loss": 0.9582, + "step": 28256 + }, + { + "epoch": 0.67, + "grad_norm": 1.9436997171024666, + "learning_rate": 5.3103605444973735e-06, + "loss": 0.9322, + "step": 28257 + }, + { + "epoch": 0.67, + "grad_norm": 1.580560003663342, + "learning_rate": 5.309686627077117e-06, + "loss": 0.8447, + "step": 28258 + }, + { + "epoch": 0.67, + "grad_norm": 1.591252818316014, + "learning_rate": 5.3090127369653465e-06, + "loss": 0.8739, + "step": 28259 + }, + { + "epoch": 0.67, + "grad_norm": 1.45457572160238, + "learning_rate": 5.308338874165993e-06, + "loss": 0.9576, + "step": 28260 + }, + { + "epoch": 0.67, + "grad_norm": 0.7772848697440775, + "learning_rate": 5.307665038682972e-06, + "loss": 0.67, + "step": 28261 + }, + { + "epoch": 0.67, + "grad_norm": 1.656645860115745, + "learning_rate": 5.306991230520213e-06, + "loss": 0.8619, + "step": 28262 + }, + { + "epoch": 0.67, + "grad_norm": 1.5883163512719256, + "learning_rate": 5.306317449681635e-06, + "loss": 0.995, + "step": 28263 + }, + { + "epoch": 0.67, + "grad_norm": 1.9550702805128313, + "learning_rate": 5.305643696171161e-06, + "loss": 0.7961, + "step": 28264 + }, + { + "epoch": 0.67, + "grad_norm": 0.7719720057070644, + "learning_rate": 5.304969969992725e-06, + "loss": 0.6857, + "step": 28265 + }, + { + "epoch": 0.67, + "grad_norm": 1.7307207019015913, + "learning_rate": 5.304296271150231e-06, + "loss": 0.7977, + "step": 28266 + }, + { + "epoch": 0.67, + "grad_norm": 1.617848630073132, + "learning_rate": 5.303622599647613e-06, + "loss": 0.9175, + "step": 28267 + }, + { + "epoch": 0.67, + "grad_norm": 1.389600357668503, + "learning_rate": 5.302948955488789e-06, + "loss": 0.8382, + "step": 28268 + }, + { + "epoch": 0.67, + "grad_norm": 1.5842454163955935, + "learning_rate": 5.302275338677692e-06, + "loss": 0.8871, + "step": 28269 + }, + { + "epoch": 0.67, + "grad_norm": 1.6228774915299637, + "learning_rate": 5.301601749218227e-06, + "loss": 0.93, + "step": 28270 + }, + { + "epoch": 0.67, + "grad_norm": 1.6255489657743305, + "learning_rate": 5.300928187114323e-06, + "loss": 0.8204, + "step": 28271 + }, + { + "epoch": 0.67, + "grad_norm": 1.672082832934764, + "learning_rate": 5.30025465236991e-06, + "loss": 0.8456, + "step": 28272 + }, + { + "epoch": 0.67, + "grad_norm": 1.8508333203915446, + "learning_rate": 5.299581144988899e-06, + "loss": 0.7869, + "step": 28273 + }, + { + "epoch": 0.67, + "grad_norm": 1.4156095575710488, + "learning_rate": 5.298907664975213e-06, + "loss": 0.8429, + "step": 28274 + }, + { + "epoch": 0.67, + "grad_norm": 1.3945165321455988, + "learning_rate": 5.298234212332773e-06, + "loss": 0.9028, + "step": 28275 + }, + { + "epoch": 0.67, + "grad_norm": 1.441569613358652, + "learning_rate": 5.297560787065506e-06, + "loss": 0.7315, + "step": 28276 + }, + { + "epoch": 0.67, + "grad_norm": 1.6432694931340008, + "learning_rate": 5.296887389177326e-06, + "loss": 0.8501, + "step": 28277 + }, + { + "epoch": 0.67, + "grad_norm": 1.4406254723408736, + "learning_rate": 5.296214018672161e-06, + "loss": 0.8769, + "step": 28278 + }, + { + "epoch": 0.67, + "grad_norm": 1.3651695763383476, + "learning_rate": 5.295540675553926e-06, + "loss": 0.7598, + "step": 28279 + }, + { + "epoch": 0.67, + "grad_norm": 1.719499569511786, + "learning_rate": 5.294867359826539e-06, + "loss": 0.9903, + "step": 28280 + }, + { + "epoch": 0.67, + "grad_norm": 1.8308336563536562, + "learning_rate": 5.294194071493925e-06, + "loss": 0.7805, + "step": 28281 + }, + { + "epoch": 0.67, + "grad_norm": 1.7540799834258107, + "learning_rate": 5.293520810560006e-06, + "loss": 0.8891, + "step": 28282 + }, + { + "epoch": 0.67, + "grad_norm": 1.8829666615198248, + "learning_rate": 5.292847577028698e-06, + "loss": 0.9057, + "step": 28283 + }, + { + "epoch": 0.67, + "grad_norm": 1.6276123557321849, + "learning_rate": 5.292174370903919e-06, + "loss": 0.8899, + "step": 28284 + }, + { + "epoch": 0.67, + "grad_norm": 1.6193135162614558, + "learning_rate": 5.29150119218959e-06, + "loss": 0.8695, + "step": 28285 + }, + { + "epoch": 0.67, + "grad_norm": 2.0028434649680786, + "learning_rate": 5.290828040889637e-06, + "loss": 0.801, + "step": 28286 + }, + { + "epoch": 0.67, + "grad_norm": 1.57685297820337, + "learning_rate": 5.2901549170079736e-06, + "loss": 0.7475, + "step": 28287 + }, + { + "epoch": 0.67, + "grad_norm": 1.5498883623128048, + "learning_rate": 5.2894818205485144e-06, + "loss": 0.87, + "step": 28288 + }, + { + "epoch": 0.67, + "grad_norm": 1.6301824559681977, + "learning_rate": 5.288808751515184e-06, + "loss": 0.9211, + "step": 28289 + }, + { + "epoch": 0.67, + "grad_norm": 1.6540162646928858, + "learning_rate": 5.288135709911906e-06, + "loss": 0.8533, + "step": 28290 + }, + { + "epoch": 0.67, + "grad_norm": 1.5147311331131772, + "learning_rate": 5.287462695742593e-06, + "loss": 0.7716, + "step": 28291 + }, + { + "epoch": 0.67, + "grad_norm": 1.5025062863742784, + "learning_rate": 5.2867897090111594e-06, + "loss": 0.8179, + "step": 28292 + }, + { + "epoch": 0.67, + "grad_norm": 1.6331917664365114, + "learning_rate": 5.286116749721533e-06, + "loss": 0.8225, + "step": 28293 + }, + { + "epoch": 0.67, + "grad_norm": 1.5366176551244595, + "learning_rate": 5.285443817877622e-06, + "loss": 0.7707, + "step": 28294 + }, + { + "epoch": 0.67, + "grad_norm": 1.6355250340944427, + "learning_rate": 5.284770913483355e-06, + "loss": 0.9438, + "step": 28295 + }, + { + "epoch": 0.67, + "grad_norm": 1.5849922253328663, + "learning_rate": 5.28409803654264e-06, + "loss": 0.8258, + "step": 28296 + }, + { + "epoch": 0.67, + "grad_norm": 1.528214268444569, + "learning_rate": 5.283425187059403e-06, + "loss": 0.8417, + "step": 28297 + }, + { + "epoch": 0.67, + "grad_norm": 1.7975691489875874, + "learning_rate": 5.282752365037554e-06, + "loss": 0.8331, + "step": 28298 + }, + { + "epoch": 0.67, + "grad_norm": 1.9382313018268962, + "learning_rate": 5.282079570481018e-06, + "loss": 1.0034, + "step": 28299 + }, + { + "epoch": 0.67, + "grad_norm": 1.6576875393659605, + "learning_rate": 5.2814068033937096e-06, + "loss": 0.9425, + "step": 28300 + }, + { + "epoch": 0.67, + "grad_norm": 1.4980930239624968, + "learning_rate": 5.28073406377954e-06, + "loss": 0.714, + "step": 28301 + }, + { + "epoch": 0.67, + "grad_norm": 1.8125143117701876, + "learning_rate": 5.280061351642429e-06, + "loss": 0.8315, + "step": 28302 + }, + { + "epoch": 0.67, + "grad_norm": 1.5833369380969922, + "learning_rate": 5.279388666986301e-06, + "loss": 0.9203, + "step": 28303 + }, + { + "epoch": 0.67, + "grad_norm": 1.7430416792829146, + "learning_rate": 5.278716009815067e-06, + "loss": 0.7864, + "step": 28304 + }, + { + "epoch": 0.67, + "grad_norm": 1.6819600292151748, + "learning_rate": 5.278043380132638e-06, + "loss": 0.7754, + "step": 28305 + }, + { + "epoch": 0.67, + "grad_norm": 1.7576500459114774, + "learning_rate": 5.277370777942936e-06, + "loss": 0.71, + "step": 28306 + }, + { + "epoch": 0.67, + "grad_norm": 1.376942761721233, + "learning_rate": 5.276698203249882e-06, + "loss": 0.7525, + "step": 28307 + }, + { + "epoch": 0.67, + "grad_norm": 1.484963042471464, + "learning_rate": 5.276025656057384e-06, + "loss": 0.7592, + "step": 28308 + }, + { + "epoch": 0.67, + "grad_norm": 1.5154647892251887, + "learning_rate": 5.275353136369357e-06, + "loss": 0.7766, + "step": 28309 + }, + { + "epoch": 0.67, + "grad_norm": 1.8125189547559883, + "learning_rate": 5.27468064418972e-06, + "loss": 0.7715, + "step": 28310 + }, + { + "epoch": 0.67, + "grad_norm": 1.4410661227076311, + "learning_rate": 5.274008179522392e-06, + "loss": 0.83, + "step": 28311 + }, + { + "epoch": 0.67, + "grad_norm": 1.8821935560559881, + "learning_rate": 5.273335742371284e-06, + "loss": 0.9018, + "step": 28312 + }, + { + "epoch": 0.67, + "grad_norm": 1.9699128214295998, + "learning_rate": 5.272663332740308e-06, + "loss": 0.8579, + "step": 28313 + }, + { + "epoch": 0.67, + "grad_norm": 0.7680587649192643, + "learning_rate": 5.271990950633388e-06, + "loss": 0.6225, + "step": 28314 + }, + { + "epoch": 0.67, + "grad_norm": 2.5656995227765624, + "learning_rate": 5.271318596054429e-06, + "loss": 0.8207, + "step": 28315 + }, + { + "epoch": 0.67, + "grad_norm": 1.8058211972644824, + "learning_rate": 5.270646269007355e-06, + "loss": 0.8577, + "step": 28316 + }, + { + "epoch": 0.67, + "grad_norm": 0.7309880515245629, + "learning_rate": 5.269973969496069e-06, + "loss": 0.6763, + "step": 28317 + }, + { + "epoch": 0.67, + "grad_norm": 2.9025870857591403, + "learning_rate": 5.269301697524498e-06, + "loss": 0.7828, + "step": 28318 + }, + { + "epoch": 0.67, + "grad_norm": 2.608490504476492, + "learning_rate": 5.268629453096547e-06, + "loss": 0.8236, + "step": 28319 + }, + { + "epoch": 0.67, + "grad_norm": 1.573354627089363, + "learning_rate": 5.267957236216137e-06, + "loss": 0.9448, + "step": 28320 + }, + { + "epoch": 0.67, + "grad_norm": 1.7138995062601123, + "learning_rate": 5.267285046887176e-06, + "loss": 0.805, + "step": 28321 + }, + { + "epoch": 0.67, + "grad_norm": 1.7616947581411055, + "learning_rate": 5.2666128851135775e-06, + "loss": 0.8227, + "step": 28322 + }, + { + "epoch": 0.67, + "grad_norm": 1.5590894698844555, + "learning_rate": 5.265940750899256e-06, + "loss": 0.8738, + "step": 28323 + }, + { + "epoch": 0.67, + "grad_norm": 1.7836383975979204, + "learning_rate": 5.265268644248133e-06, + "loss": 0.7892, + "step": 28324 + }, + { + "epoch": 0.67, + "grad_norm": 2.1041340712982324, + "learning_rate": 5.264596565164113e-06, + "loss": 0.7169, + "step": 28325 + }, + { + "epoch": 0.67, + "grad_norm": 1.3519010195253391, + "learning_rate": 5.263924513651107e-06, + "loss": 0.7288, + "step": 28326 + }, + { + "epoch": 0.67, + "grad_norm": 1.6134618473231903, + "learning_rate": 5.263252489713032e-06, + "loss": 0.8582, + "step": 28327 + }, + { + "epoch": 0.67, + "grad_norm": 1.612470844034176, + "learning_rate": 5.262580493353805e-06, + "loss": 1.0366, + "step": 28328 + }, + { + "epoch": 0.67, + "grad_norm": 1.8672916687429428, + "learning_rate": 5.261908524577334e-06, + "loss": 0.8394, + "step": 28329 + }, + { + "epoch": 0.67, + "grad_norm": 0.7831255673604068, + "learning_rate": 5.261236583387528e-06, + "loss": 0.7266, + "step": 28330 + }, + { + "epoch": 0.67, + "grad_norm": 1.6496292493214868, + "learning_rate": 5.260564669788302e-06, + "loss": 0.8888, + "step": 28331 + }, + { + "epoch": 0.67, + "grad_norm": 1.5451476926209926, + "learning_rate": 5.259892783783573e-06, + "loss": 0.9049, + "step": 28332 + }, + { + "epoch": 0.67, + "grad_norm": 1.5338613423348355, + "learning_rate": 5.259220925377249e-06, + "loss": 0.8348, + "step": 28333 + }, + { + "epoch": 0.67, + "grad_norm": 1.7541735795239726, + "learning_rate": 5.258549094573239e-06, + "loss": 0.8329, + "step": 28334 + }, + { + "epoch": 0.67, + "grad_norm": 1.883678248242473, + "learning_rate": 5.257877291375459e-06, + "loss": 0.791, + "step": 28335 + }, + { + "epoch": 0.67, + "grad_norm": 2.19656621230952, + "learning_rate": 5.257205515787817e-06, + "loss": 0.7551, + "step": 28336 + }, + { + "epoch": 0.67, + "grad_norm": 1.6404729528765976, + "learning_rate": 5.256533767814229e-06, + "loss": 0.8114, + "step": 28337 + }, + { + "epoch": 0.67, + "grad_norm": 1.6926232052928953, + "learning_rate": 5.2558620474586e-06, + "loss": 0.842, + "step": 28338 + }, + { + "epoch": 0.67, + "grad_norm": 1.4737094446219128, + "learning_rate": 5.255190354724846e-06, + "loss": 0.7971, + "step": 28339 + }, + { + "epoch": 0.67, + "grad_norm": 1.638829578974806, + "learning_rate": 5.254518689616874e-06, + "loss": 0.9131, + "step": 28340 + }, + { + "epoch": 0.67, + "grad_norm": 1.6243439962729205, + "learning_rate": 5.2538470521385996e-06, + "loss": 0.8988, + "step": 28341 + }, + { + "epoch": 0.67, + "grad_norm": 1.8417477718905413, + "learning_rate": 5.253175442293929e-06, + "loss": 0.9451, + "step": 28342 + }, + { + "epoch": 0.67, + "grad_norm": 1.7003856331043572, + "learning_rate": 5.252503860086773e-06, + "loss": 0.8039, + "step": 28343 + }, + { + "epoch": 0.67, + "grad_norm": 1.7016860145153014, + "learning_rate": 5.2518323055210405e-06, + "loss": 0.8818, + "step": 28344 + }, + { + "epoch": 0.67, + "grad_norm": 1.5301115475522515, + "learning_rate": 5.251160778600648e-06, + "loss": 0.8194, + "step": 28345 + }, + { + "epoch": 0.67, + "grad_norm": 1.582851853143583, + "learning_rate": 5.250489279329501e-06, + "loss": 0.8037, + "step": 28346 + }, + { + "epoch": 0.67, + "grad_norm": 1.5869049718302992, + "learning_rate": 5.249817807711505e-06, + "loss": 0.8929, + "step": 28347 + }, + { + "epoch": 0.67, + "grad_norm": 1.850481203450852, + "learning_rate": 5.249146363750574e-06, + "loss": 0.8966, + "step": 28348 + }, + { + "epoch": 0.67, + "grad_norm": 1.6312525951507701, + "learning_rate": 5.24847494745062e-06, + "loss": 0.8306, + "step": 28349 + }, + { + "epoch": 0.67, + "grad_norm": 1.9561290781723977, + "learning_rate": 5.24780355881555e-06, + "loss": 0.8422, + "step": 28350 + }, + { + "epoch": 0.67, + "grad_norm": 1.664475552088982, + "learning_rate": 5.247132197849267e-06, + "loss": 0.7929, + "step": 28351 + }, + { + "epoch": 0.67, + "grad_norm": 1.627695489349971, + "learning_rate": 5.246460864555687e-06, + "loss": 0.8917, + "step": 28352 + }, + { + "epoch": 0.67, + "grad_norm": 1.6129660543101032, + "learning_rate": 5.245789558938719e-06, + "loss": 0.8336, + "step": 28353 + }, + { + "epoch": 0.67, + "grad_norm": 1.6431087365337538, + "learning_rate": 5.245118281002271e-06, + "loss": 0.8024, + "step": 28354 + }, + { + "epoch": 0.67, + "grad_norm": 1.6213387917399935, + "learning_rate": 5.244447030750244e-06, + "loss": 0.8195, + "step": 28355 + }, + { + "epoch": 0.67, + "grad_norm": 1.559493732964648, + "learning_rate": 5.243775808186557e-06, + "loss": 0.8549, + "step": 28356 + }, + { + "epoch": 0.67, + "grad_norm": 1.5928800314682678, + "learning_rate": 5.2431046133151085e-06, + "loss": 0.6523, + "step": 28357 + }, + { + "epoch": 0.67, + "grad_norm": 1.9657591868828221, + "learning_rate": 5.242433446139816e-06, + "loss": 0.8914, + "step": 28358 + }, + { + "epoch": 0.67, + "grad_norm": 1.909326734453257, + "learning_rate": 5.241762306664578e-06, + "loss": 0.9082, + "step": 28359 + }, + { + "epoch": 0.67, + "grad_norm": 1.9309280042456598, + "learning_rate": 5.241091194893309e-06, + "loss": 0.9095, + "step": 28360 + }, + { + "epoch": 0.67, + "grad_norm": 1.6120348056774232, + "learning_rate": 5.24042011082991e-06, + "loss": 0.8862, + "step": 28361 + }, + { + "epoch": 0.67, + "grad_norm": 1.4513735425884975, + "learning_rate": 5.2397490544782935e-06, + "loss": 0.8124, + "step": 28362 + }, + { + "epoch": 0.67, + "grad_norm": 1.6416881943597126, + "learning_rate": 5.2390780258423715e-06, + "loss": 0.8693, + "step": 28363 + }, + { + "epoch": 0.67, + "grad_norm": 1.8101931947812964, + "learning_rate": 5.238407024926038e-06, + "loss": 0.7788, + "step": 28364 + }, + { + "epoch": 0.67, + "grad_norm": 1.6349193639820445, + "learning_rate": 5.237736051733205e-06, + "loss": 0.8536, + "step": 28365 + }, + { + "epoch": 0.67, + "grad_norm": 1.5796360783502466, + "learning_rate": 5.23706510626778e-06, + "loss": 0.7765, + "step": 28366 + }, + { + "epoch": 0.67, + "grad_norm": 1.6024160286143545, + "learning_rate": 5.236394188533679e-06, + "loss": 0.8326, + "step": 28367 + }, + { + "epoch": 0.67, + "grad_norm": 1.4857587189282475, + "learning_rate": 5.2357232985347905e-06, + "loss": 0.8492, + "step": 28368 + }, + { + "epoch": 0.67, + "grad_norm": 1.6579516303514856, + "learning_rate": 5.23505243627503e-06, + "loss": 0.8822, + "step": 28369 + }, + { + "epoch": 0.67, + "grad_norm": 0.7409789371320771, + "learning_rate": 5.234381601758306e-06, + "loss": 0.6652, + "step": 28370 + }, + { + "epoch": 0.67, + "grad_norm": 0.7608587406572883, + "learning_rate": 5.233710794988518e-06, + "loss": 0.768, + "step": 28371 + }, + { + "epoch": 0.67, + "grad_norm": 1.5377149614389127, + "learning_rate": 5.233040015969577e-06, + "loss": 0.9183, + "step": 28372 + }, + { + "epoch": 0.67, + "grad_norm": 1.6507235480452058, + "learning_rate": 5.232369264705384e-06, + "loss": 0.7558, + "step": 28373 + }, + { + "epoch": 0.67, + "grad_norm": 0.7728128738264491, + "learning_rate": 5.23169854119985e-06, + "loss": 0.6757, + "step": 28374 + }, + { + "epoch": 0.67, + "grad_norm": 1.7543098710697729, + "learning_rate": 5.231027845456873e-06, + "loss": 0.8261, + "step": 28375 + }, + { + "epoch": 0.67, + "grad_norm": 1.8481279176994576, + "learning_rate": 5.230357177480365e-06, + "loss": 0.7635, + "step": 28376 + }, + { + "epoch": 0.67, + "grad_norm": 0.7356041812384416, + "learning_rate": 5.229686537274223e-06, + "loss": 0.6273, + "step": 28377 + }, + { + "epoch": 0.67, + "grad_norm": 1.662790424263679, + "learning_rate": 5.229015924842362e-06, + "loss": 0.8557, + "step": 28378 + }, + { + "epoch": 0.67, + "grad_norm": 1.508685353508678, + "learning_rate": 5.228345340188677e-06, + "loss": 0.8744, + "step": 28379 + }, + { + "epoch": 0.67, + "grad_norm": 1.446794649994911, + "learning_rate": 5.227674783317078e-06, + "loss": 0.8217, + "step": 28380 + }, + { + "epoch": 0.67, + "grad_norm": 1.6161910723923274, + "learning_rate": 5.227004254231468e-06, + "loss": 0.9109, + "step": 28381 + }, + { + "epoch": 0.67, + "grad_norm": 1.568939478200577, + "learning_rate": 5.226333752935747e-06, + "loss": 0.7797, + "step": 28382 + }, + { + "epoch": 0.67, + "grad_norm": 1.8008497909986798, + "learning_rate": 5.2256632794338216e-06, + "loss": 0.8487, + "step": 28383 + }, + { + "epoch": 0.67, + "grad_norm": 1.9387205974864414, + "learning_rate": 5.224992833729601e-06, + "loss": 0.6761, + "step": 28384 + }, + { + "epoch": 0.67, + "grad_norm": 1.4194478517573417, + "learning_rate": 5.2243224158269835e-06, + "loss": 0.8933, + "step": 28385 + }, + { + "epoch": 0.67, + "grad_norm": 1.8060909287160727, + "learning_rate": 5.223652025729868e-06, + "loss": 0.8922, + "step": 28386 + }, + { + "epoch": 0.67, + "grad_norm": 1.6546305492119124, + "learning_rate": 5.222981663442164e-06, + "loss": 0.8527, + "step": 28387 + }, + { + "epoch": 0.67, + "grad_norm": 1.9565717361915034, + "learning_rate": 5.222311328967775e-06, + "loss": 0.8647, + "step": 28388 + }, + { + "epoch": 0.67, + "grad_norm": 2.118695597296113, + "learning_rate": 5.221641022310604e-06, + "loss": 0.9401, + "step": 28389 + }, + { + "epoch": 0.67, + "grad_norm": 1.6458825023145272, + "learning_rate": 5.220970743474547e-06, + "loss": 0.9433, + "step": 28390 + }, + { + "epoch": 0.67, + "grad_norm": 2.4919028305381445, + "learning_rate": 5.220300492463511e-06, + "loss": 0.7639, + "step": 28391 + }, + { + "epoch": 0.67, + "grad_norm": 1.6314151021230672, + "learning_rate": 5.219630269281404e-06, + "loss": 0.9154, + "step": 28392 + }, + { + "epoch": 0.67, + "grad_norm": 1.6392580076258385, + "learning_rate": 5.218960073932122e-06, + "loss": 0.8958, + "step": 28393 + }, + { + "epoch": 0.67, + "grad_norm": 1.6961390927632805, + "learning_rate": 5.218289906419564e-06, + "loss": 0.7894, + "step": 28394 + }, + { + "epoch": 0.67, + "grad_norm": 0.7130576648998608, + "learning_rate": 5.217619766747641e-06, + "loss": 0.6997, + "step": 28395 + }, + { + "epoch": 0.67, + "grad_norm": 1.58370389574339, + "learning_rate": 5.2169496549202444e-06, + "loss": 0.7897, + "step": 28396 + }, + { + "epoch": 0.67, + "grad_norm": 1.4319232980002181, + "learning_rate": 5.216279570941287e-06, + "loss": 0.7781, + "step": 28397 + }, + { + "epoch": 0.67, + "grad_norm": 2.6431145778488774, + "learning_rate": 5.2156095148146594e-06, + "loss": 0.734, + "step": 28398 + }, + { + "epoch": 0.67, + "grad_norm": 1.422956219784478, + "learning_rate": 5.214939486544271e-06, + "loss": 0.7958, + "step": 28399 + }, + { + "epoch": 0.67, + "grad_norm": 1.4360297303727967, + "learning_rate": 5.214269486134017e-06, + "loss": 0.8996, + "step": 28400 + }, + { + "epoch": 0.67, + "grad_norm": 1.4271109728615756, + "learning_rate": 5.213599513587805e-06, + "loss": 0.8485, + "step": 28401 + }, + { + "epoch": 0.67, + "grad_norm": 0.7718462483511783, + "learning_rate": 5.212929568909532e-06, + "loss": 0.7639, + "step": 28402 + }, + { + "epoch": 0.67, + "grad_norm": 1.6942687879813676, + "learning_rate": 5.212259652103095e-06, + "loss": 0.8751, + "step": 28403 + }, + { + "epoch": 0.67, + "grad_norm": 3.437824834478716, + "learning_rate": 5.211589763172398e-06, + "loss": 0.7464, + "step": 28404 + }, + { + "epoch": 0.67, + "grad_norm": 1.6293649446432217, + "learning_rate": 5.210919902121344e-06, + "loss": 0.8142, + "step": 28405 + }, + { + "epoch": 0.67, + "grad_norm": 1.7462190238519248, + "learning_rate": 5.2102500689538316e-06, + "loss": 0.8925, + "step": 28406 + }, + { + "epoch": 0.67, + "grad_norm": 1.769309877117148, + "learning_rate": 5.2095802636737556e-06, + "loss": 0.9163, + "step": 28407 + }, + { + "epoch": 0.67, + "grad_norm": 1.7077713320303325, + "learning_rate": 5.20891048628502e-06, + "loss": 0.7925, + "step": 28408 + }, + { + "epoch": 0.67, + "grad_norm": 1.6582707760151054, + "learning_rate": 5.208240736791528e-06, + "loss": 0.8694, + "step": 28409 + }, + { + "epoch": 0.67, + "grad_norm": 1.5696454738404035, + "learning_rate": 5.207571015197177e-06, + "loss": 0.8625, + "step": 28410 + }, + { + "epoch": 0.67, + "grad_norm": 1.5892008717964208, + "learning_rate": 5.206901321505859e-06, + "loss": 0.7863, + "step": 28411 + }, + { + "epoch": 0.67, + "grad_norm": 1.6256240030053362, + "learning_rate": 5.2062316557214785e-06, + "loss": 0.7663, + "step": 28412 + }, + { + "epoch": 0.67, + "grad_norm": 1.5465659941610008, + "learning_rate": 5.2055620178479405e-06, + "loss": 0.849, + "step": 28413 + }, + { + "epoch": 0.67, + "grad_norm": 1.5487791993179838, + "learning_rate": 5.204892407889138e-06, + "loss": 0.8775, + "step": 28414 + }, + { + "epoch": 0.67, + "grad_norm": 1.7951233806207296, + "learning_rate": 5.204222825848966e-06, + "loss": 1.0468, + "step": 28415 + }, + { + "epoch": 0.67, + "grad_norm": 1.5591674329959622, + "learning_rate": 5.203553271731332e-06, + "loss": 0.8965, + "step": 28416 + }, + { + "epoch": 0.67, + "grad_norm": 1.693179986488374, + "learning_rate": 5.202883745540124e-06, + "loss": 0.8078, + "step": 28417 + }, + { + "epoch": 0.67, + "grad_norm": 1.5157745862203507, + "learning_rate": 5.2022142472792494e-06, + "loss": 0.8956, + "step": 28418 + }, + { + "epoch": 0.67, + "grad_norm": 1.4402059147667312, + "learning_rate": 5.2015447769525985e-06, + "loss": 0.8267, + "step": 28419 + }, + { + "epoch": 0.67, + "grad_norm": 0.754159276006277, + "learning_rate": 5.2008753345640775e-06, + "loss": 0.7223, + "step": 28420 + }, + { + "epoch": 0.67, + "grad_norm": 1.635455101106759, + "learning_rate": 5.200205920117576e-06, + "loss": 0.8407, + "step": 28421 + }, + { + "epoch": 0.67, + "grad_norm": 1.8565082646136895, + "learning_rate": 5.199536533616999e-06, + "loss": 0.8596, + "step": 28422 + }, + { + "epoch": 0.67, + "grad_norm": 1.5206837131269089, + "learning_rate": 5.19886717506624e-06, + "loss": 0.6767, + "step": 28423 + }, + { + "epoch": 0.67, + "grad_norm": 1.688904437575465, + "learning_rate": 5.198197844469193e-06, + "loss": 0.8112, + "step": 28424 + }, + { + "epoch": 0.67, + "grad_norm": 1.7560349159101658, + "learning_rate": 5.197528541829758e-06, + "loss": 0.8067, + "step": 28425 + }, + { + "epoch": 0.67, + "grad_norm": 1.6600076066643616, + "learning_rate": 5.196859267151835e-06, + "loss": 0.87, + "step": 28426 + }, + { + "epoch": 0.67, + "grad_norm": 2.590205566150923, + "learning_rate": 5.196190020439319e-06, + "loss": 0.7725, + "step": 28427 + }, + { + "epoch": 0.67, + "grad_norm": 2.991579797239793, + "learning_rate": 5.195520801696101e-06, + "loss": 0.8573, + "step": 28428 + }, + { + "epoch": 0.67, + "grad_norm": 2.0566196808230828, + "learning_rate": 5.194851610926083e-06, + "loss": 0.8144, + "step": 28429 + }, + { + "epoch": 0.67, + "grad_norm": 0.762243124005277, + "learning_rate": 5.194182448133163e-06, + "loss": 0.7123, + "step": 28430 + }, + { + "epoch": 0.67, + "grad_norm": 1.510798053241769, + "learning_rate": 5.1935133133212345e-06, + "loss": 0.8053, + "step": 28431 + }, + { + "epoch": 0.67, + "grad_norm": 1.468057027781075, + "learning_rate": 5.19284420649419e-06, + "loss": 0.7214, + "step": 28432 + }, + { + "epoch": 0.67, + "grad_norm": 1.6789756459264213, + "learning_rate": 5.192175127655929e-06, + "loss": 0.8943, + "step": 28433 + }, + { + "epoch": 0.67, + "grad_norm": 1.5888901500692636, + "learning_rate": 5.191506076810349e-06, + "loss": 0.7459, + "step": 28434 + }, + { + "epoch": 0.67, + "grad_norm": 1.562968990043909, + "learning_rate": 5.190837053961344e-06, + "loss": 0.8024, + "step": 28435 + }, + { + "epoch": 0.67, + "grad_norm": 1.6781979835956349, + "learning_rate": 5.190168059112804e-06, + "loss": 0.8312, + "step": 28436 + }, + { + "epoch": 0.67, + "grad_norm": 1.7374757993681291, + "learning_rate": 5.189499092268632e-06, + "loss": 0.9026, + "step": 28437 + }, + { + "epoch": 0.67, + "grad_norm": 1.699897722814449, + "learning_rate": 5.188830153432716e-06, + "loss": 0.8415, + "step": 28438 + }, + { + "epoch": 0.67, + "grad_norm": 1.6540624630560994, + "learning_rate": 5.188161242608957e-06, + "loss": 0.9032, + "step": 28439 + }, + { + "epoch": 0.67, + "grad_norm": 0.7964062497210381, + "learning_rate": 5.187492359801243e-06, + "loss": 0.7399, + "step": 28440 + }, + { + "epoch": 0.67, + "grad_norm": 1.6678039804551807, + "learning_rate": 5.186823505013476e-06, + "loss": 0.8382, + "step": 28441 + }, + { + "epoch": 0.67, + "grad_norm": 1.461965699675877, + "learning_rate": 5.186154678249542e-06, + "loss": 0.7984, + "step": 28442 + }, + { + "epoch": 0.67, + "grad_norm": 1.6259041237732828, + "learning_rate": 5.185485879513344e-06, + "loss": 0.7863, + "step": 28443 + }, + { + "epoch": 0.67, + "grad_norm": 1.6018647597226974, + "learning_rate": 5.184817108808773e-06, + "loss": 0.8888, + "step": 28444 + }, + { + "epoch": 0.67, + "grad_norm": 1.466643998580152, + "learning_rate": 5.184148366139715e-06, + "loss": 0.7704, + "step": 28445 + }, + { + "epoch": 0.67, + "grad_norm": 0.8129903953864128, + "learning_rate": 5.18347965151007e-06, + "loss": 0.7046, + "step": 28446 + }, + { + "epoch": 0.67, + "grad_norm": 1.4519960077566658, + "learning_rate": 5.182810964923733e-06, + "loss": 0.7767, + "step": 28447 + }, + { + "epoch": 0.67, + "grad_norm": 1.5293604210233402, + "learning_rate": 5.182142306384602e-06, + "loss": 0.8871, + "step": 28448 + }, + { + "epoch": 0.67, + "grad_norm": 1.6522199364742105, + "learning_rate": 5.181473675896557e-06, + "loss": 0.9559, + "step": 28449 + }, + { + "epoch": 0.67, + "grad_norm": 2.143341155932967, + "learning_rate": 5.180805073463497e-06, + "loss": 0.9718, + "step": 28450 + }, + { + "epoch": 0.67, + "grad_norm": 1.6861282731193068, + "learning_rate": 5.18013649908932e-06, + "loss": 0.8489, + "step": 28451 + }, + { + "epoch": 0.67, + "grad_norm": 1.9382014200643296, + "learning_rate": 5.179467952777915e-06, + "loss": 0.9496, + "step": 28452 + }, + { + "epoch": 0.67, + "grad_norm": 1.4912875033800064, + "learning_rate": 5.178799434533168e-06, + "loss": 0.7284, + "step": 28453 + }, + { + "epoch": 0.67, + "grad_norm": 1.4323111809770264, + "learning_rate": 5.178130944358978e-06, + "loss": 0.9351, + "step": 28454 + }, + { + "epoch": 0.67, + "grad_norm": 1.4593039292583616, + "learning_rate": 5.17746248225924e-06, + "loss": 0.8514, + "step": 28455 + }, + { + "epoch": 0.67, + "grad_norm": 1.46944337012384, + "learning_rate": 5.176794048237842e-06, + "loss": 0.8358, + "step": 28456 + }, + { + "epoch": 0.67, + "grad_norm": 0.7249246920614749, + "learning_rate": 5.176125642298673e-06, + "loss": 0.674, + "step": 28457 + }, + { + "epoch": 0.67, + "grad_norm": 1.5320842945947388, + "learning_rate": 5.1754572644456315e-06, + "loss": 0.848, + "step": 28458 + }, + { + "epoch": 0.67, + "grad_norm": 1.3465267999961381, + "learning_rate": 5.1747889146826e-06, + "loss": 0.768, + "step": 28459 + }, + { + "epoch": 0.67, + "grad_norm": 1.504252299022209, + "learning_rate": 5.174120593013476e-06, + "loss": 0.8392, + "step": 28460 + }, + { + "epoch": 0.67, + "grad_norm": 1.5548771576935212, + "learning_rate": 5.173452299442154e-06, + "loss": 0.7981, + "step": 28461 + }, + { + "epoch": 0.67, + "grad_norm": 1.5047108892881673, + "learning_rate": 5.17278403397252e-06, + "loss": 0.8579, + "step": 28462 + }, + { + "epoch": 0.67, + "grad_norm": 1.5819767007283072, + "learning_rate": 5.172115796608462e-06, + "loss": 0.9271, + "step": 28463 + }, + { + "epoch": 0.67, + "grad_norm": 1.5931203393567623, + "learning_rate": 5.171447587353875e-06, + "loss": 0.8311, + "step": 28464 + }, + { + "epoch": 0.67, + "grad_norm": 1.7902462443035634, + "learning_rate": 5.170779406212656e-06, + "loss": 0.8071, + "step": 28465 + }, + { + "epoch": 0.67, + "grad_norm": 1.601606366945851, + "learning_rate": 5.170111253188681e-06, + "loss": 0.8341, + "step": 28466 + }, + { + "epoch": 0.67, + "grad_norm": 1.8967150193330955, + "learning_rate": 5.169443128285846e-06, + "loss": 0.7762, + "step": 28467 + }, + { + "epoch": 0.67, + "grad_norm": 1.6014210353572238, + "learning_rate": 5.1687750315080446e-06, + "loss": 0.8362, + "step": 28468 + }, + { + "epoch": 0.67, + "grad_norm": 1.4656202732868575, + "learning_rate": 5.168106962859166e-06, + "loss": 0.7926, + "step": 28469 + }, + { + "epoch": 0.67, + "grad_norm": 0.7888288351123107, + "learning_rate": 5.1674389223431e-06, + "loss": 0.6972, + "step": 28470 + }, + { + "epoch": 0.67, + "grad_norm": 1.5620591003142617, + "learning_rate": 5.16677090996373e-06, + "loss": 0.9072, + "step": 28471 + }, + { + "epoch": 0.67, + "grad_norm": 1.7471759785111471, + "learning_rate": 5.166102925724954e-06, + "loss": 0.8244, + "step": 28472 + }, + { + "epoch": 0.67, + "grad_norm": 0.7631272751786661, + "learning_rate": 5.165434969630654e-06, + "loss": 0.7161, + "step": 28473 + }, + { + "epoch": 0.67, + "grad_norm": 1.8094604625017743, + "learning_rate": 5.164767041684724e-06, + "loss": 0.8788, + "step": 28474 + }, + { + "epoch": 0.67, + "grad_norm": 1.629177160581198, + "learning_rate": 5.1640991418910494e-06, + "loss": 0.8702, + "step": 28475 + }, + { + "epoch": 0.67, + "grad_norm": 1.6839840990944872, + "learning_rate": 5.163431270253523e-06, + "loss": 0.7601, + "step": 28476 + }, + { + "epoch": 0.67, + "grad_norm": 1.7017465033508947, + "learning_rate": 5.162763426776027e-06, + "loss": 0.9096, + "step": 28477 + }, + { + "epoch": 0.67, + "grad_norm": 1.6251829486122933, + "learning_rate": 5.162095611462458e-06, + "loss": 0.7982, + "step": 28478 + }, + { + "epoch": 0.67, + "grad_norm": 0.7778222856237353, + "learning_rate": 5.161427824316703e-06, + "loss": 0.7092, + "step": 28479 + }, + { + "epoch": 0.67, + "grad_norm": 1.5331251581680727, + "learning_rate": 5.160760065342639e-06, + "loss": 0.8413, + "step": 28480 + }, + { + "epoch": 0.67, + "grad_norm": 1.4136563965689746, + "learning_rate": 5.160092334544165e-06, + "loss": 0.9278, + "step": 28481 + }, + { + "epoch": 0.67, + "grad_norm": 1.573368848912643, + "learning_rate": 5.159424631925168e-06, + "loss": 0.9373, + "step": 28482 + }, + { + "epoch": 0.67, + "grad_norm": 1.6612327606656172, + "learning_rate": 5.158756957489533e-06, + "loss": 0.8536, + "step": 28483 + }, + { + "epoch": 0.67, + "grad_norm": 1.5824493386493639, + "learning_rate": 5.158089311241143e-06, + "loss": 0.8604, + "step": 28484 + }, + { + "epoch": 0.67, + "grad_norm": 0.8068802827300804, + "learning_rate": 5.157421693183893e-06, + "loss": 0.7117, + "step": 28485 + }, + { + "epoch": 0.67, + "grad_norm": 1.6724121779233856, + "learning_rate": 5.156754103321669e-06, + "loss": 0.8564, + "step": 28486 + }, + { + "epoch": 0.67, + "grad_norm": 1.6272574670984867, + "learning_rate": 5.156086541658356e-06, + "loss": 0.8044, + "step": 28487 + }, + { + "epoch": 0.67, + "grad_norm": 1.7571412772897712, + "learning_rate": 5.155419008197837e-06, + "loss": 0.8975, + "step": 28488 + }, + { + "epoch": 0.67, + "grad_norm": 1.432292080327357, + "learning_rate": 5.154751502944002e-06, + "loss": 0.8282, + "step": 28489 + }, + { + "epoch": 0.67, + "grad_norm": 2.3272114687583425, + "learning_rate": 5.154084025900742e-06, + "loss": 0.9306, + "step": 28490 + }, + { + "epoch": 0.67, + "grad_norm": 1.539518943023221, + "learning_rate": 5.153416577071939e-06, + "loss": 0.9574, + "step": 28491 + }, + { + "epoch": 0.67, + "grad_norm": 1.698649249166463, + "learning_rate": 5.152749156461475e-06, + "loss": 0.9232, + "step": 28492 + }, + { + "epoch": 0.67, + "grad_norm": 1.853466308754679, + "learning_rate": 5.152081764073244e-06, + "loss": 0.8157, + "step": 28493 + }, + { + "epoch": 0.67, + "grad_norm": 0.7673188946176603, + "learning_rate": 5.1514143999111234e-06, + "loss": 0.7348, + "step": 28494 + }, + { + "epoch": 0.67, + "grad_norm": 1.581864435049705, + "learning_rate": 5.150747063979008e-06, + "loss": 0.7427, + "step": 28495 + }, + { + "epoch": 0.67, + "grad_norm": 1.586088958923914, + "learning_rate": 5.150079756280774e-06, + "loss": 0.7971, + "step": 28496 + }, + { + "epoch": 0.67, + "grad_norm": 1.412518592030089, + "learning_rate": 5.149412476820314e-06, + "loss": 0.817, + "step": 28497 + }, + { + "epoch": 0.67, + "grad_norm": 0.7574553445340826, + "learning_rate": 5.148745225601509e-06, + "loss": 0.7317, + "step": 28498 + }, + { + "epoch": 0.67, + "grad_norm": 1.5101764552836032, + "learning_rate": 5.148078002628247e-06, + "loss": 0.8466, + "step": 28499 + }, + { + "epoch": 0.67, + "grad_norm": 1.6710514517112223, + "learning_rate": 5.147410807904408e-06, + "loss": 0.7593, + "step": 28500 + }, + { + "epoch": 0.67, + "grad_norm": 1.4315158522824276, + "learning_rate": 5.146743641433884e-06, + "loss": 0.7821, + "step": 28501 + }, + { + "epoch": 0.67, + "grad_norm": 1.6216423257461885, + "learning_rate": 5.146076503220549e-06, + "loss": 0.7282, + "step": 28502 + }, + { + "epoch": 0.67, + "grad_norm": 1.6385201108524416, + "learning_rate": 5.145409393268299e-06, + "loss": 0.838, + "step": 28503 + }, + { + "epoch": 0.67, + "grad_norm": 1.5242474352146345, + "learning_rate": 5.144742311581013e-06, + "loss": 0.7624, + "step": 28504 + }, + { + "epoch": 0.67, + "grad_norm": 1.599655842513696, + "learning_rate": 5.144075258162569e-06, + "loss": 0.9406, + "step": 28505 + }, + { + "epoch": 0.67, + "grad_norm": 1.7392805952306067, + "learning_rate": 5.143408233016855e-06, + "loss": 0.7369, + "step": 28506 + }, + { + "epoch": 0.67, + "grad_norm": 0.7356410463022515, + "learning_rate": 5.142741236147762e-06, + "loss": 0.7008, + "step": 28507 + }, + { + "epoch": 0.67, + "grad_norm": 1.6097027922910156, + "learning_rate": 5.142074267559167e-06, + "loss": 0.8768, + "step": 28508 + }, + { + "epoch": 0.67, + "grad_norm": 1.786165018336195, + "learning_rate": 5.141407327254951e-06, + "loss": 0.8736, + "step": 28509 + }, + { + "epoch": 0.67, + "grad_norm": 1.6379650166104902, + "learning_rate": 5.140740415238996e-06, + "loss": 0.9415, + "step": 28510 + }, + { + "epoch": 0.67, + "grad_norm": 1.3827687090874208, + "learning_rate": 5.140073531515195e-06, + "loss": 0.8571, + "step": 28511 + }, + { + "epoch": 0.67, + "grad_norm": 2.510281023956074, + "learning_rate": 5.139406676087424e-06, + "loss": 0.8199, + "step": 28512 + }, + { + "epoch": 0.67, + "grad_norm": 1.6818475343123382, + "learning_rate": 5.138739848959563e-06, + "loss": 0.9139, + "step": 28513 + }, + { + "epoch": 0.67, + "grad_norm": 0.7356590524194131, + "learning_rate": 5.138073050135497e-06, + "loss": 0.7128, + "step": 28514 + }, + { + "epoch": 0.67, + "grad_norm": 1.5345694081955417, + "learning_rate": 5.137406279619113e-06, + "loss": 0.7483, + "step": 28515 + }, + { + "epoch": 0.67, + "grad_norm": 1.5776270200427707, + "learning_rate": 5.136739537414291e-06, + "loss": 0.8468, + "step": 28516 + }, + { + "epoch": 0.67, + "grad_norm": 1.5760143045719275, + "learning_rate": 5.136072823524905e-06, + "loss": 0.924, + "step": 28517 + }, + { + "epoch": 0.67, + "grad_norm": 1.7160528004918612, + "learning_rate": 5.1354061379548455e-06, + "loss": 0.9565, + "step": 28518 + }, + { + "epoch": 0.67, + "grad_norm": 1.9296926624611765, + "learning_rate": 5.134739480707991e-06, + "loss": 0.6948, + "step": 28519 + }, + { + "epoch": 0.67, + "grad_norm": 1.9226997475632899, + "learning_rate": 5.1340728517882256e-06, + "loss": 0.9278, + "step": 28520 + }, + { + "epoch": 0.67, + "grad_norm": 1.4322321479344593, + "learning_rate": 5.133406251199424e-06, + "loss": 0.9239, + "step": 28521 + }, + { + "epoch": 0.67, + "grad_norm": 1.6814061092816033, + "learning_rate": 5.132739678945478e-06, + "loss": 0.8472, + "step": 28522 + }, + { + "epoch": 0.67, + "grad_norm": 1.953820642923319, + "learning_rate": 5.132073135030255e-06, + "loss": 0.7838, + "step": 28523 + }, + { + "epoch": 0.67, + "grad_norm": 2.642305741998046, + "learning_rate": 5.13140661945765e-06, + "loss": 0.8577, + "step": 28524 + }, + { + "epoch": 0.67, + "grad_norm": 1.95505123037757, + "learning_rate": 5.1307401322315375e-06, + "loss": 0.7674, + "step": 28525 + }, + { + "epoch": 0.67, + "grad_norm": 1.8556823028626421, + "learning_rate": 5.1300736733557936e-06, + "loss": 0.8387, + "step": 28526 + }, + { + "epoch": 0.67, + "grad_norm": 1.6799614720300784, + "learning_rate": 5.129407242834301e-06, + "loss": 0.8645, + "step": 28527 + }, + { + "epoch": 0.67, + "grad_norm": 1.6055903585928224, + "learning_rate": 5.128740840670946e-06, + "loss": 0.8691, + "step": 28528 + }, + { + "epoch": 0.67, + "grad_norm": 1.710823481360823, + "learning_rate": 5.128074466869603e-06, + "loss": 0.6987, + "step": 28529 + }, + { + "epoch": 0.67, + "grad_norm": 1.6125185371661122, + "learning_rate": 5.127408121434152e-06, + "loss": 0.851, + "step": 28530 + }, + { + "epoch": 0.67, + "grad_norm": 1.5339838714689245, + "learning_rate": 5.126741804368471e-06, + "loss": 0.8975, + "step": 28531 + }, + { + "epoch": 0.67, + "grad_norm": 1.981043953454198, + "learning_rate": 5.1260755156764474e-06, + "loss": 0.8313, + "step": 28532 + }, + { + "epoch": 0.67, + "grad_norm": 1.6490273001023668, + "learning_rate": 5.125409255361954e-06, + "loss": 0.9224, + "step": 28533 + }, + { + "epoch": 0.67, + "grad_norm": 1.3752262956637122, + "learning_rate": 5.124743023428867e-06, + "loss": 0.8214, + "step": 28534 + }, + { + "epoch": 0.67, + "grad_norm": 1.8065322985907006, + "learning_rate": 5.124076819881071e-06, + "loss": 0.8837, + "step": 28535 + }, + { + "epoch": 0.67, + "grad_norm": 1.8415372675092307, + "learning_rate": 5.123410644722446e-06, + "loss": 0.8534, + "step": 28536 + }, + { + "epoch": 0.67, + "grad_norm": 1.5303163638625985, + "learning_rate": 5.1227444979568694e-06, + "loss": 0.7414, + "step": 28537 + }, + { + "epoch": 0.67, + "grad_norm": 1.8412219088058208, + "learning_rate": 5.122078379588214e-06, + "loss": 0.9468, + "step": 28538 + }, + { + "epoch": 0.67, + "grad_norm": 1.7945275173291932, + "learning_rate": 5.121412289620367e-06, + "loss": 0.8996, + "step": 28539 + }, + { + "epoch": 0.67, + "grad_norm": 0.8837100982955008, + "learning_rate": 5.120746228057197e-06, + "loss": 0.7338, + "step": 28540 + }, + { + "epoch": 0.67, + "grad_norm": 1.8887019805298775, + "learning_rate": 5.120080194902593e-06, + "loss": 0.8686, + "step": 28541 + }, + { + "epoch": 0.67, + "grad_norm": 1.7898329373966408, + "learning_rate": 5.119414190160421e-06, + "loss": 0.7807, + "step": 28542 + }, + { + "epoch": 0.67, + "grad_norm": 1.5869341777113521, + "learning_rate": 5.11874821383457e-06, + "loss": 0.6966, + "step": 28543 + }, + { + "epoch": 0.67, + "grad_norm": 1.698508086311225, + "learning_rate": 5.118082265928908e-06, + "loss": 0.9075, + "step": 28544 + }, + { + "epoch": 0.67, + "grad_norm": 1.7756571592102637, + "learning_rate": 5.117416346447317e-06, + "loss": 0.8608, + "step": 28545 + }, + { + "epoch": 0.67, + "grad_norm": 1.4824800647771268, + "learning_rate": 5.116750455393681e-06, + "loss": 0.7545, + "step": 28546 + }, + { + "epoch": 0.67, + "grad_norm": 1.4531592622125453, + "learning_rate": 5.116084592771861e-06, + "loss": 0.8997, + "step": 28547 + }, + { + "epoch": 0.67, + "grad_norm": 1.7090296894605306, + "learning_rate": 5.115418758585745e-06, + "loss": 0.8526, + "step": 28548 + }, + { + "epoch": 0.67, + "grad_norm": 1.8632380275872669, + "learning_rate": 5.114752952839207e-06, + "loss": 0.887, + "step": 28549 + }, + { + "epoch": 0.67, + "grad_norm": 1.7069457393690233, + "learning_rate": 5.114087175536131e-06, + "loss": 0.8341, + "step": 28550 + }, + { + "epoch": 0.67, + "grad_norm": 1.5242285746384432, + "learning_rate": 5.113421426680378e-06, + "loss": 0.8849, + "step": 28551 + }, + { + "epoch": 0.67, + "grad_norm": 1.669571844982561, + "learning_rate": 5.112755706275833e-06, + "loss": 0.915, + "step": 28552 + }, + { + "epoch": 0.67, + "grad_norm": 1.7532199365463488, + "learning_rate": 5.112090014326376e-06, + "loss": 0.9166, + "step": 28553 + }, + { + "epoch": 0.67, + "grad_norm": 3.0933987696838003, + "learning_rate": 5.111424350835879e-06, + "loss": 0.9199, + "step": 28554 + }, + { + "epoch": 0.67, + "grad_norm": 1.4756141508975638, + "learning_rate": 5.110758715808213e-06, + "loss": 0.8002, + "step": 28555 + }, + { + "epoch": 0.67, + "grad_norm": 1.7724941457771766, + "learning_rate": 5.1100931092472564e-06, + "loss": 0.8932, + "step": 28556 + }, + { + "epoch": 0.67, + "grad_norm": 1.5934064183008767, + "learning_rate": 5.10942753115689e-06, + "loss": 0.8043, + "step": 28557 + }, + { + "epoch": 0.67, + "grad_norm": 2.002170997036697, + "learning_rate": 5.1087619815409815e-06, + "loss": 0.8297, + "step": 28558 + }, + { + "epoch": 0.67, + "grad_norm": 1.6282573754806706, + "learning_rate": 5.1080964604034136e-06, + "loss": 0.8143, + "step": 28559 + }, + { + "epoch": 0.67, + "grad_norm": 1.4528973756670918, + "learning_rate": 5.107430967748056e-06, + "loss": 0.9145, + "step": 28560 + }, + { + "epoch": 0.67, + "grad_norm": 1.7739364754526143, + "learning_rate": 5.106765503578781e-06, + "loss": 0.8047, + "step": 28561 + }, + { + "epoch": 0.67, + "grad_norm": 3.549628723832371, + "learning_rate": 5.1061000678994665e-06, + "loss": 0.8652, + "step": 28562 + }, + { + "epoch": 0.67, + "grad_norm": 1.6281594590253579, + "learning_rate": 5.10543466071399e-06, + "loss": 0.9123, + "step": 28563 + }, + { + "epoch": 0.67, + "grad_norm": 1.6426677795445397, + "learning_rate": 5.104769282026223e-06, + "loss": 0.818, + "step": 28564 + }, + { + "epoch": 0.67, + "grad_norm": 1.4922355939124605, + "learning_rate": 5.104103931840035e-06, + "loss": 0.8234, + "step": 28565 + }, + { + "epoch": 0.67, + "grad_norm": 0.8342730668577418, + "learning_rate": 5.103438610159303e-06, + "loss": 0.7136, + "step": 28566 + }, + { + "epoch": 0.67, + "grad_norm": 1.5182127133227852, + "learning_rate": 5.102773316987905e-06, + "loss": 0.7652, + "step": 28567 + }, + { + "epoch": 0.67, + "grad_norm": 0.7618344483287096, + "learning_rate": 5.102108052329714e-06, + "loss": 0.6983, + "step": 28568 + }, + { + "epoch": 0.67, + "grad_norm": 2.1288146206648926, + "learning_rate": 5.1014428161885956e-06, + "loss": 0.8095, + "step": 28569 + }, + { + "epoch": 0.67, + "grad_norm": 1.7659345118742626, + "learning_rate": 5.1007776085684265e-06, + "loss": 0.7925, + "step": 28570 + }, + { + "epoch": 0.67, + "grad_norm": 1.7051483019826685, + "learning_rate": 5.100112429473087e-06, + "loss": 0.7975, + "step": 28571 + }, + { + "epoch": 0.67, + "grad_norm": 2.1378433722400336, + "learning_rate": 5.0994472789064434e-06, + "loss": 0.9159, + "step": 28572 + }, + { + "epoch": 0.67, + "grad_norm": 2.1495418024798005, + "learning_rate": 5.098782156872365e-06, + "loss": 0.7726, + "step": 28573 + }, + { + "epoch": 0.67, + "grad_norm": 1.8376432620787189, + "learning_rate": 5.0981170633747326e-06, + "loss": 0.8096, + "step": 28574 + }, + { + "epoch": 0.67, + "grad_norm": 3.047350031608153, + "learning_rate": 5.097451998417411e-06, + "loss": 0.7105, + "step": 28575 + }, + { + "epoch": 0.67, + "grad_norm": 1.5758500443108163, + "learning_rate": 5.09678696200428e-06, + "loss": 0.8512, + "step": 28576 + }, + { + "epoch": 0.67, + "grad_norm": 1.4613742339732732, + "learning_rate": 5.096121954139204e-06, + "loss": 0.9021, + "step": 28577 + }, + { + "epoch": 0.67, + "grad_norm": 1.8526583352054924, + "learning_rate": 5.095456974826061e-06, + "loss": 0.8109, + "step": 28578 + }, + { + "epoch": 0.67, + "grad_norm": 1.6729151998083034, + "learning_rate": 5.094792024068718e-06, + "loss": 0.8902, + "step": 28579 + }, + { + "epoch": 0.67, + "grad_norm": 0.8260998071462978, + "learning_rate": 5.0941271018710514e-06, + "loss": 0.7139, + "step": 28580 + }, + { + "epoch": 0.67, + "grad_norm": 0.730135518810302, + "learning_rate": 5.093462208236931e-06, + "loss": 0.7498, + "step": 28581 + }, + { + "epoch": 0.67, + "grad_norm": 1.5024707502385672, + "learning_rate": 5.092797343170223e-06, + "loss": 0.8883, + "step": 28582 + }, + { + "epoch": 0.67, + "grad_norm": 1.7445968661988203, + "learning_rate": 5.092132506674801e-06, + "loss": 0.9252, + "step": 28583 + }, + { + "epoch": 0.67, + "grad_norm": 1.508982512076739, + "learning_rate": 5.091467698754543e-06, + "loss": 0.85, + "step": 28584 + }, + { + "epoch": 0.67, + "grad_norm": 1.6021303866072159, + "learning_rate": 5.090802919413314e-06, + "loss": 0.849, + "step": 28585 + }, + { + "epoch": 0.67, + "grad_norm": 0.7760237821440077, + "learning_rate": 5.09013816865498e-06, + "loss": 0.7348, + "step": 28586 + }, + { + "epoch": 0.67, + "grad_norm": 1.5751109316432748, + "learning_rate": 5.089473446483416e-06, + "loss": 0.917, + "step": 28587 + }, + { + "epoch": 0.67, + "grad_norm": 0.7688548170503883, + "learning_rate": 5.0888087529024965e-06, + "loss": 0.7762, + "step": 28588 + }, + { + "epoch": 0.67, + "grad_norm": 4.56696961666792, + "learning_rate": 5.088144087916087e-06, + "loss": 0.8064, + "step": 28589 + }, + { + "epoch": 0.67, + "grad_norm": 1.5150265498405013, + "learning_rate": 5.087479451528055e-06, + "loss": 0.783, + "step": 28590 + }, + { + "epoch": 0.67, + "grad_norm": 1.6120153113790392, + "learning_rate": 5.086814843742272e-06, + "loss": 0.9464, + "step": 28591 + }, + { + "epoch": 0.67, + "grad_norm": 1.7948002294561827, + "learning_rate": 5.086150264562612e-06, + "loss": 0.9772, + "step": 28592 + }, + { + "epoch": 0.67, + "grad_norm": 1.8983370954976995, + "learning_rate": 5.08548571399294e-06, + "loss": 0.8186, + "step": 28593 + }, + { + "epoch": 0.67, + "grad_norm": 1.5907035736358808, + "learning_rate": 5.0848211920371236e-06, + "loss": 0.9511, + "step": 28594 + }, + { + "epoch": 0.67, + "grad_norm": 1.4459020632251427, + "learning_rate": 5.084156698699038e-06, + "loss": 0.8356, + "step": 28595 + }, + { + "epoch": 0.67, + "grad_norm": 1.609389032456357, + "learning_rate": 5.0834922339825445e-06, + "loss": 0.7374, + "step": 28596 + }, + { + "epoch": 0.67, + "grad_norm": 1.5251876649324108, + "learning_rate": 5.08282779789152e-06, + "loss": 0.8707, + "step": 28597 + }, + { + "epoch": 0.67, + "grad_norm": 1.4986195056934895, + "learning_rate": 5.082163390429824e-06, + "loss": 0.8275, + "step": 28598 + }, + { + "epoch": 0.67, + "grad_norm": 1.8981451388425463, + "learning_rate": 5.081499011601334e-06, + "loss": 0.84, + "step": 28599 + }, + { + "epoch": 0.67, + "grad_norm": 1.8662695976697825, + "learning_rate": 5.0808346614099106e-06, + "loss": 0.8205, + "step": 28600 + }, + { + "epoch": 0.67, + "grad_norm": 1.4308765532272512, + "learning_rate": 5.080170339859429e-06, + "loss": 0.7849, + "step": 28601 + }, + { + "epoch": 0.67, + "grad_norm": 1.6185741921368577, + "learning_rate": 5.079506046953753e-06, + "loss": 0.8798, + "step": 28602 + }, + { + "epoch": 0.67, + "grad_norm": 1.6142286419648748, + "learning_rate": 5.078841782696746e-06, + "loss": 0.8305, + "step": 28603 + }, + { + "epoch": 0.67, + "grad_norm": 1.670341533830161, + "learning_rate": 5.07817754709228e-06, + "loss": 0.9225, + "step": 28604 + }, + { + "epoch": 0.67, + "grad_norm": 2.3935885674790045, + "learning_rate": 5.0775133401442275e-06, + "loss": 0.8056, + "step": 28605 + }, + { + "epoch": 0.67, + "grad_norm": 1.778805767149228, + "learning_rate": 5.0768491618564504e-06, + "loss": 0.8495, + "step": 28606 + }, + { + "epoch": 0.67, + "grad_norm": 1.4645862392936662, + "learning_rate": 5.076185012232813e-06, + "loss": 0.7186, + "step": 28607 + }, + { + "epoch": 0.67, + "grad_norm": 1.507297898812066, + "learning_rate": 5.0755208912771835e-06, + "loss": 0.8722, + "step": 28608 + }, + { + "epoch": 0.67, + "grad_norm": 1.757345463909712, + "learning_rate": 5.074856798993436e-06, + "loss": 0.8729, + "step": 28609 + }, + { + "epoch": 0.67, + "grad_norm": 1.6762327962080104, + "learning_rate": 5.0741927353854305e-06, + "loss": 0.88, + "step": 28610 + }, + { + "epoch": 0.67, + "grad_norm": 2.2753198411193876, + "learning_rate": 5.073528700457031e-06, + "loss": 0.782, + "step": 28611 + }, + { + "epoch": 0.67, + "grad_norm": 1.7071430046416343, + "learning_rate": 5.0728646942121074e-06, + "loss": 0.9772, + "step": 28612 + }, + { + "epoch": 0.67, + "grad_norm": 1.559158204853203, + "learning_rate": 5.0722007166545294e-06, + "loss": 0.8922, + "step": 28613 + }, + { + "epoch": 0.67, + "grad_norm": 2.1509481865423457, + "learning_rate": 5.071536767788158e-06, + "loss": 0.7745, + "step": 28614 + }, + { + "epoch": 0.67, + "grad_norm": 1.533721708033607, + "learning_rate": 5.070872847616857e-06, + "loss": 0.704, + "step": 28615 + }, + { + "epoch": 0.67, + "grad_norm": 1.447254326537531, + "learning_rate": 5.070208956144498e-06, + "loss": 0.8142, + "step": 28616 + }, + { + "epoch": 0.67, + "grad_norm": 1.7878674857307244, + "learning_rate": 5.0695450933749395e-06, + "loss": 0.8318, + "step": 28617 + }, + { + "epoch": 0.67, + "grad_norm": 1.7336559448746234, + "learning_rate": 5.068881259312054e-06, + "loss": 0.8281, + "step": 28618 + }, + { + "epoch": 0.67, + "grad_norm": 1.5582583053643058, + "learning_rate": 5.068217453959698e-06, + "loss": 0.9371, + "step": 28619 + }, + { + "epoch": 0.67, + "grad_norm": 1.4577071385033975, + "learning_rate": 5.067553677321748e-06, + "loss": 0.773, + "step": 28620 + }, + { + "epoch": 0.67, + "grad_norm": 1.4292992563811346, + "learning_rate": 5.066889929402057e-06, + "loss": 0.8724, + "step": 28621 + }, + { + "epoch": 0.67, + "grad_norm": 0.7366727513127602, + "learning_rate": 5.066226210204498e-06, + "loss": 0.7324, + "step": 28622 + }, + { + "epoch": 0.67, + "grad_norm": 1.800111033409798, + "learning_rate": 5.065562519732929e-06, + "loss": 0.7727, + "step": 28623 + }, + { + "epoch": 0.67, + "grad_norm": 1.6035796397278077, + "learning_rate": 5.064898857991221e-06, + "loss": 0.8298, + "step": 28624 + }, + { + "epoch": 0.67, + "grad_norm": 1.6351826004187608, + "learning_rate": 5.0642352249832295e-06, + "loss": 0.8896, + "step": 28625 + }, + { + "epoch": 0.67, + "grad_norm": 1.5172051712654826, + "learning_rate": 5.0635716207128274e-06, + "loss": 0.8673, + "step": 28626 + }, + { + "epoch": 0.67, + "grad_norm": 1.6873152375277798, + "learning_rate": 5.0629080451838745e-06, + "loss": 0.7932, + "step": 28627 + }, + { + "epoch": 0.67, + "grad_norm": 1.81803539508571, + "learning_rate": 5.062244498400228e-06, + "loss": 0.9171, + "step": 28628 + }, + { + "epoch": 0.67, + "grad_norm": 2.016404447695377, + "learning_rate": 5.0615809803657615e-06, + "loss": 0.8813, + "step": 28629 + }, + { + "epoch": 0.67, + "grad_norm": 2.0000064822856527, + "learning_rate": 5.060917491084331e-06, + "loss": 0.7406, + "step": 28630 + }, + { + "epoch": 0.67, + "grad_norm": 1.533662354792436, + "learning_rate": 5.06025403055981e-06, + "loss": 0.8655, + "step": 28631 + }, + { + "epoch": 0.67, + "grad_norm": 2.1925701803894384, + "learning_rate": 5.059590598796047e-06, + "loss": 0.8771, + "step": 28632 + }, + { + "epoch": 0.67, + "grad_norm": 1.6814677425329783, + "learning_rate": 5.058927195796912e-06, + "loss": 0.8849, + "step": 28633 + }, + { + "epoch": 0.67, + "grad_norm": 2.0106279278524095, + "learning_rate": 5.0582638215662715e-06, + "loss": 0.7853, + "step": 28634 + }, + { + "epoch": 0.67, + "grad_norm": 1.6399896219975425, + "learning_rate": 5.057600476107982e-06, + "loss": 0.824, + "step": 28635 + }, + { + "epoch": 0.67, + "grad_norm": 1.914950946054046, + "learning_rate": 5.0569371594259056e-06, + "loss": 0.8273, + "step": 28636 + }, + { + "epoch": 0.67, + "grad_norm": 1.71464507992749, + "learning_rate": 5.056273871523904e-06, + "loss": 0.9122, + "step": 28637 + }, + { + "epoch": 0.67, + "grad_norm": 1.5224406419067107, + "learning_rate": 5.055610612405846e-06, + "loss": 0.89, + "step": 28638 + }, + { + "epoch": 0.67, + "grad_norm": 0.7490127814425794, + "learning_rate": 5.054947382075588e-06, + "loss": 0.7389, + "step": 28639 + }, + { + "epoch": 0.67, + "grad_norm": 1.6187047018886787, + "learning_rate": 5.054284180536988e-06, + "loss": 0.858, + "step": 28640 + }, + { + "epoch": 0.67, + "grad_norm": 1.6396074569840897, + "learning_rate": 5.053621007793916e-06, + "loss": 0.8051, + "step": 28641 + }, + { + "epoch": 0.67, + "grad_norm": 1.501094149229742, + "learning_rate": 5.052957863850223e-06, + "loss": 0.8215, + "step": 28642 + }, + { + "epoch": 0.67, + "grad_norm": 1.6436589167639812, + "learning_rate": 5.052294748709776e-06, + "loss": 0.8313, + "step": 28643 + }, + { + "epoch": 0.67, + "grad_norm": 0.7467183827455915, + "learning_rate": 5.051631662376441e-06, + "loss": 0.7259, + "step": 28644 + }, + { + "epoch": 0.67, + "grad_norm": 1.8023442945472548, + "learning_rate": 5.050968604854071e-06, + "loss": 1.0112, + "step": 28645 + }, + { + "epoch": 0.67, + "grad_norm": 1.5763387889512752, + "learning_rate": 5.050305576146526e-06, + "loss": 0.8157, + "step": 28646 + }, + { + "epoch": 0.67, + "grad_norm": 1.7591043632946288, + "learning_rate": 5.0496425762576685e-06, + "loss": 0.9713, + "step": 28647 + }, + { + "epoch": 0.67, + "grad_norm": 0.7423019754990151, + "learning_rate": 5.048979605191367e-06, + "loss": 0.6649, + "step": 28648 + }, + { + "epoch": 0.67, + "grad_norm": 0.7759931858203334, + "learning_rate": 5.0483166629514654e-06, + "loss": 0.7104, + "step": 28649 + }, + { + "epoch": 0.67, + "grad_norm": 1.560777596998241, + "learning_rate": 5.047653749541832e-06, + "loss": 0.7613, + "step": 28650 + }, + { + "epoch": 0.67, + "grad_norm": 1.6279711129161616, + "learning_rate": 5.046990864966328e-06, + "loss": 0.862, + "step": 28651 + }, + { + "epoch": 0.68, + "grad_norm": 1.6430232000373806, + "learning_rate": 5.046328009228817e-06, + "loss": 0.8047, + "step": 28652 + }, + { + "epoch": 0.68, + "grad_norm": 1.733582786441692, + "learning_rate": 5.045665182333146e-06, + "loss": 0.8494, + "step": 28653 + }, + { + "epoch": 0.68, + "grad_norm": 1.6202014942441505, + "learning_rate": 5.045002384283179e-06, + "loss": 0.865, + "step": 28654 + }, + { + "epoch": 0.68, + "grad_norm": 1.5871513519775904, + "learning_rate": 5.044339615082783e-06, + "loss": 0.859, + "step": 28655 + }, + { + "epoch": 0.68, + "grad_norm": 1.693840780756938, + "learning_rate": 5.043676874735807e-06, + "loss": 0.9025, + "step": 28656 + }, + { + "epoch": 0.68, + "grad_norm": 1.8175448105282468, + "learning_rate": 5.043014163246116e-06, + "loss": 0.7983, + "step": 28657 + }, + { + "epoch": 0.68, + "grad_norm": 1.4801657548755986, + "learning_rate": 5.042351480617562e-06, + "loss": 0.875, + "step": 28658 + }, + { + "epoch": 0.68, + "grad_norm": 1.643416446934071, + "learning_rate": 5.041688826854012e-06, + "loss": 0.8991, + "step": 28659 + }, + { + "epoch": 0.68, + "grad_norm": 1.4882585032622742, + "learning_rate": 5.041026201959314e-06, + "loss": 0.8154, + "step": 28660 + }, + { + "epoch": 0.68, + "grad_norm": 1.6900810105952717, + "learning_rate": 5.040363605937337e-06, + "loss": 0.8533, + "step": 28661 + }, + { + "epoch": 0.68, + "grad_norm": 2.567234808790059, + "learning_rate": 5.039701038791932e-06, + "loss": 0.9079, + "step": 28662 + }, + { + "epoch": 0.68, + "grad_norm": 1.5829932123098647, + "learning_rate": 5.039038500526955e-06, + "loss": 0.9379, + "step": 28663 + }, + { + "epoch": 0.68, + "grad_norm": 0.761481752305562, + "learning_rate": 5.038375991146266e-06, + "loss": 0.6979, + "step": 28664 + }, + { + "epoch": 0.68, + "grad_norm": 1.7571447055148808, + "learning_rate": 5.037713510653727e-06, + "loss": 0.8891, + "step": 28665 + }, + { + "epoch": 0.68, + "grad_norm": 1.8215318646762861, + "learning_rate": 5.03705105905319e-06, + "loss": 0.8422, + "step": 28666 + }, + { + "epoch": 0.68, + "grad_norm": 1.8637975460188902, + "learning_rate": 5.0363886363485105e-06, + "loss": 0.9695, + "step": 28667 + }, + { + "epoch": 0.68, + "grad_norm": 1.6347872911804069, + "learning_rate": 5.035726242543546e-06, + "loss": 0.8378, + "step": 28668 + }, + { + "epoch": 0.68, + "grad_norm": 1.7670233395590567, + "learning_rate": 5.0350638776421615e-06, + "loss": 0.8035, + "step": 28669 + }, + { + "epoch": 0.68, + "grad_norm": 1.5612311833389503, + "learning_rate": 5.034401541648204e-06, + "loss": 0.7365, + "step": 28670 + }, + { + "epoch": 0.68, + "grad_norm": 2.244638967367016, + "learning_rate": 5.033739234565531e-06, + "loss": 0.8546, + "step": 28671 + }, + { + "epoch": 0.68, + "grad_norm": 1.665134764253439, + "learning_rate": 5.033076956398e-06, + "loss": 0.8444, + "step": 28672 + }, + { + "epoch": 0.68, + "grad_norm": 2.434482003090589, + "learning_rate": 5.032414707149471e-06, + "loss": 0.9367, + "step": 28673 + }, + { + "epoch": 0.68, + "grad_norm": 2.0577628716674607, + "learning_rate": 5.031752486823797e-06, + "loss": 0.8563, + "step": 28674 + }, + { + "epoch": 0.68, + "grad_norm": 2.366943237104014, + "learning_rate": 5.031090295424828e-06, + "loss": 0.9197, + "step": 28675 + }, + { + "epoch": 0.68, + "grad_norm": 1.5212281060489123, + "learning_rate": 5.030428132956428e-06, + "loss": 0.7411, + "step": 28676 + }, + { + "epoch": 0.68, + "grad_norm": 1.9467747412961505, + "learning_rate": 5.029765999422447e-06, + "loss": 0.8985, + "step": 28677 + }, + { + "epoch": 0.68, + "grad_norm": 1.5619013958608818, + "learning_rate": 5.029103894826745e-06, + "loss": 0.8654, + "step": 28678 + }, + { + "epoch": 0.68, + "grad_norm": 1.7995169377415603, + "learning_rate": 5.0284418191731684e-06, + "loss": 0.8352, + "step": 28679 + }, + { + "epoch": 0.68, + "grad_norm": 1.6349893468704237, + "learning_rate": 5.027779772465583e-06, + "loss": 0.7622, + "step": 28680 + }, + { + "epoch": 0.68, + "grad_norm": 1.5065197059257516, + "learning_rate": 5.027117754707833e-06, + "loss": 0.8663, + "step": 28681 + }, + { + "epoch": 0.68, + "grad_norm": 1.5622490885185885, + "learning_rate": 5.026455765903783e-06, + "loss": 0.7801, + "step": 28682 + }, + { + "epoch": 0.68, + "grad_norm": 1.6298240427070683, + "learning_rate": 5.025793806057282e-06, + "loss": 0.8369, + "step": 28683 + }, + { + "epoch": 0.68, + "grad_norm": 1.657288836838832, + "learning_rate": 5.025131875172179e-06, + "loss": 0.8648, + "step": 28684 + }, + { + "epoch": 0.68, + "grad_norm": 2.3106701044932896, + "learning_rate": 5.024469973252334e-06, + "loss": 0.8352, + "step": 28685 + }, + { + "epoch": 0.68, + "grad_norm": 2.213859211151051, + "learning_rate": 5.023808100301604e-06, + "loss": 0.7995, + "step": 28686 + }, + { + "epoch": 0.68, + "grad_norm": 0.7544771793069749, + "learning_rate": 5.023146256323839e-06, + "loss": 0.7058, + "step": 28687 + }, + { + "epoch": 0.68, + "grad_norm": 1.7437900729439328, + "learning_rate": 5.022484441322888e-06, + "loss": 0.671, + "step": 28688 + }, + { + "epoch": 0.68, + "grad_norm": 1.8185503301884773, + "learning_rate": 5.021822655302608e-06, + "loss": 0.9344, + "step": 28689 + }, + { + "epoch": 0.68, + "grad_norm": 1.3789622177100478, + "learning_rate": 5.021160898266857e-06, + "loss": 0.9206, + "step": 28690 + }, + { + "epoch": 0.68, + "grad_norm": 1.5564601979023767, + "learning_rate": 5.020499170219483e-06, + "loss": 0.8439, + "step": 28691 + }, + { + "epoch": 0.68, + "grad_norm": 1.8179010287076127, + "learning_rate": 5.019837471164335e-06, + "loss": 0.7952, + "step": 28692 + }, + { + "epoch": 0.68, + "grad_norm": 2.049271679299936, + "learning_rate": 5.019175801105272e-06, + "loss": 0.7879, + "step": 28693 + }, + { + "epoch": 0.68, + "grad_norm": 1.705040887393795, + "learning_rate": 5.018514160046146e-06, + "loss": 0.7209, + "step": 28694 + }, + { + "epoch": 0.68, + "grad_norm": 1.6232110339387764, + "learning_rate": 5.017852547990809e-06, + "loss": 0.8504, + "step": 28695 + }, + { + "epoch": 0.68, + "grad_norm": 0.7418427430503541, + "learning_rate": 5.0171909649431075e-06, + "loss": 0.7074, + "step": 28696 + }, + { + "epoch": 0.68, + "grad_norm": 2.257097191072643, + "learning_rate": 5.0165294109069e-06, + "loss": 0.9313, + "step": 28697 + }, + { + "epoch": 0.68, + "grad_norm": 2.1948034002804, + "learning_rate": 5.015867885886035e-06, + "loss": 0.8655, + "step": 28698 + }, + { + "epoch": 0.68, + "grad_norm": 1.7554692611316387, + "learning_rate": 5.0152063898843685e-06, + "loss": 0.9111, + "step": 28699 + }, + { + "epoch": 0.68, + "grad_norm": 0.810689336342644, + "learning_rate": 5.014544922905744e-06, + "loss": 0.7035, + "step": 28700 + }, + { + "epoch": 0.68, + "grad_norm": 1.453424096189883, + "learning_rate": 5.013883484954021e-06, + "loss": 0.8154, + "step": 28701 + }, + { + "epoch": 0.68, + "grad_norm": 1.5353441342207608, + "learning_rate": 5.013222076033043e-06, + "loss": 0.8139, + "step": 28702 + }, + { + "epoch": 0.68, + "grad_norm": 0.7611855054860373, + "learning_rate": 5.012560696146669e-06, + "loss": 0.7498, + "step": 28703 + }, + { + "epoch": 0.68, + "grad_norm": 1.6062317468732579, + "learning_rate": 5.011899345298745e-06, + "loss": 0.8779, + "step": 28704 + }, + { + "epoch": 0.68, + "grad_norm": 1.9390423851105532, + "learning_rate": 5.011238023493119e-06, + "loss": 0.9108, + "step": 28705 + }, + { + "epoch": 0.68, + "grad_norm": 1.5690784088004015, + "learning_rate": 5.010576730733645e-06, + "loss": 0.8135, + "step": 28706 + }, + { + "epoch": 0.68, + "grad_norm": 1.7446513262604524, + "learning_rate": 5.0099154670241756e-06, + "loss": 0.8733, + "step": 28707 + }, + { + "epoch": 0.68, + "grad_norm": 1.6617844776198476, + "learning_rate": 5.009254232368559e-06, + "loss": 0.9043, + "step": 28708 + }, + { + "epoch": 0.68, + "grad_norm": 1.7002450984250348, + "learning_rate": 5.0085930267706404e-06, + "loss": 0.8402, + "step": 28709 + }, + { + "epoch": 0.68, + "grad_norm": 1.5739099594091268, + "learning_rate": 5.007931850234273e-06, + "loss": 0.8951, + "step": 28710 + }, + { + "epoch": 0.68, + "grad_norm": 1.5852117934144239, + "learning_rate": 5.0072707027633115e-06, + "loss": 0.8244, + "step": 28711 + }, + { + "epoch": 0.68, + "grad_norm": 0.8054359523295777, + "learning_rate": 5.006609584361601e-06, + "loss": 0.7288, + "step": 28712 + }, + { + "epoch": 0.68, + "grad_norm": 1.544103106018299, + "learning_rate": 5.005948495032985e-06, + "loss": 0.7974, + "step": 28713 + }, + { + "epoch": 0.68, + "grad_norm": 1.5033996766140023, + "learning_rate": 5.0052874347813186e-06, + "loss": 0.8266, + "step": 28714 + }, + { + "epoch": 0.68, + "grad_norm": 1.6105270233584386, + "learning_rate": 5.004626403610454e-06, + "loss": 0.7331, + "step": 28715 + }, + { + "epoch": 0.68, + "grad_norm": 1.6036532585419392, + "learning_rate": 5.0039654015242355e-06, + "loss": 0.8854, + "step": 28716 + }, + { + "epoch": 0.68, + "grad_norm": 1.674587603376311, + "learning_rate": 5.00330442852651e-06, + "loss": 0.8309, + "step": 28717 + }, + { + "epoch": 0.68, + "grad_norm": 1.5997860792204504, + "learning_rate": 5.00264348462113e-06, + "loss": 0.7716, + "step": 28718 + }, + { + "epoch": 0.68, + "grad_norm": 1.5662231445684143, + "learning_rate": 5.001982569811938e-06, + "loss": 0.8962, + "step": 28719 + }, + { + "epoch": 0.68, + "grad_norm": 1.5416447222202234, + "learning_rate": 5.001321684102791e-06, + "loss": 0.8296, + "step": 28720 + }, + { + "epoch": 0.68, + "grad_norm": 1.5901062384632885, + "learning_rate": 5.000660827497527e-06, + "loss": 0.9402, + "step": 28721 + }, + { + "epoch": 0.68, + "grad_norm": 0.784986695621341, + "learning_rate": 5.000000000000003e-06, + "loss": 0.6742, + "step": 28722 + }, + { + "epoch": 0.68, + "grad_norm": 1.5120764285039556, + "learning_rate": 4.999339201614057e-06, + "loss": 0.8165, + "step": 28723 + }, + { + "epoch": 0.68, + "grad_norm": 0.776531344953669, + "learning_rate": 4.998678432343545e-06, + "loss": 0.7298, + "step": 28724 + }, + { + "epoch": 0.68, + "grad_norm": 1.6320319413103022, + "learning_rate": 4.998017692192312e-06, + "loss": 0.889, + "step": 28725 + }, + { + "epoch": 0.68, + "grad_norm": 0.7985675803377018, + "learning_rate": 4.9973569811641985e-06, + "loss": 0.7065, + "step": 28726 + }, + { + "epoch": 0.68, + "grad_norm": 1.7191524586441458, + "learning_rate": 4.996696299263057e-06, + "loss": 0.7509, + "step": 28727 + }, + { + "epoch": 0.68, + "grad_norm": 0.8084575354706647, + "learning_rate": 4.996035646492734e-06, + "loss": 0.7345, + "step": 28728 + }, + { + "epoch": 0.68, + "grad_norm": 1.7011918246637014, + "learning_rate": 4.995375022857083e-06, + "loss": 0.9338, + "step": 28729 + }, + { + "epoch": 0.68, + "grad_norm": 1.8105168098010491, + "learning_rate": 4.994714428359936e-06, + "loss": 0.7114, + "step": 28730 + }, + { + "epoch": 0.68, + "grad_norm": 1.5736698268183704, + "learning_rate": 4.994053863005145e-06, + "loss": 0.7514, + "step": 28731 + }, + { + "epoch": 0.68, + "grad_norm": 1.5670417169021926, + "learning_rate": 4.993393326796562e-06, + "loss": 0.8501, + "step": 28732 + }, + { + "epoch": 0.68, + "grad_norm": 1.713071579951694, + "learning_rate": 4.992732819738028e-06, + "loss": 0.9344, + "step": 28733 + }, + { + "epoch": 0.68, + "grad_norm": 1.64895349417641, + "learning_rate": 4.992072341833385e-06, + "loss": 0.8648, + "step": 28734 + }, + { + "epoch": 0.68, + "grad_norm": 1.5405328120461033, + "learning_rate": 4.991411893086482e-06, + "loss": 0.7914, + "step": 28735 + }, + { + "epoch": 0.68, + "grad_norm": 1.5965185825631507, + "learning_rate": 4.990751473501168e-06, + "loss": 0.7755, + "step": 28736 + }, + { + "epoch": 0.68, + "grad_norm": 1.521633880683876, + "learning_rate": 4.990091083081285e-06, + "loss": 0.9051, + "step": 28737 + }, + { + "epoch": 0.68, + "grad_norm": 1.5126890347980344, + "learning_rate": 4.989430721830676e-06, + "loss": 0.7757, + "step": 28738 + }, + { + "epoch": 0.68, + "grad_norm": 1.6003707630880797, + "learning_rate": 4.988770389753189e-06, + "loss": 0.7969, + "step": 28739 + }, + { + "epoch": 0.68, + "grad_norm": 0.7214514117021428, + "learning_rate": 4.988110086852664e-06, + "loss": 0.7192, + "step": 28740 + }, + { + "epoch": 0.68, + "grad_norm": 1.4929157680054437, + "learning_rate": 4.9874498131329495e-06, + "loss": 0.8331, + "step": 28741 + }, + { + "epoch": 0.68, + "grad_norm": 1.6781778271141121, + "learning_rate": 4.986789568597893e-06, + "loss": 0.7969, + "step": 28742 + }, + { + "epoch": 0.68, + "grad_norm": 1.6442633981134962, + "learning_rate": 4.986129353251335e-06, + "loss": 0.9532, + "step": 28743 + }, + { + "epoch": 0.68, + "grad_norm": 1.611475586284772, + "learning_rate": 4.9854691670971145e-06, + "loss": 0.8367, + "step": 28744 + }, + { + "epoch": 0.68, + "grad_norm": 1.571167119704665, + "learning_rate": 4.9848090101390815e-06, + "loss": 0.8744, + "step": 28745 + }, + { + "epoch": 0.68, + "grad_norm": 1.5302318019671126, + "learning_rate": 4.9841488823810805e-06, + "loss": 0.8966, + "step": 28746 + }, + { + "epoch": 0.68, + "grad_norm": 1.8391249678136474, + "learning_rate": 4.983488783826953e-06, + "loss": 0.7876, + "step": 28747 + }, + { + "epoch": 0.68, + "grad_norm": 1.6066059875538352, + "learning_rate": 4.9828287144805385e-06, + "loss": 0.7682, + "step": 28748 + }, + { + "epoch": 0.68, + "grad_norm": 1.4929664076081401, + "learning_rate": 4.9821686743456835e-06, + "loss": 0.8182, + "step": 28749 + }, + { + "epoch": 0.68, + "grad_norm": 1.8006761526473263, + "learning_rate": 4.981508663426236e-06, + "loss": 1.013, + "step": 28750 + }, + { + "epoch": 0.68, + "grad_norm": 1.551247692832465, + "learning_rate": 4.9808486817260314e-06, + "loss": 0.816, + "step": 28751 + }, + { + "epoch": 0.68, + "grad_norm": 1.6410387002233575, + "learning_rate": 4.980188729248913e-06, + "loss": 0.8353, + "step": 28752 + }, + { + "epoch": 0.68, + "grad_norm": 1.6199014478125513, + "learning_rate": 4.979528805998724e-06, + "loss": 0.7877, + "step": 28753 + }, + { + "epoch": 0.68, + "grad_norm": 2.1699316355739393, + "learning_rate": 4.978868911979312e-06, + "loss": 0.6631, + "step": 28754 + }, + { + "epoch": 0.68, + "grad_norm": 1.7227753570303836, + "learning_rate": 4.9782090471945155e-06, + "loss": 0.851, + "step": 28755 + }, + { + "epoch": 0.68, + "grad_norm": 1.4609245504948687, + "learning_rate": 4.977549211648172e-06, + "loss": 0.7265, + "step": 28756 + }, + { + "epoch": 0.68, + "grad_norm": 1.5075090659214996, + "learning_rate": 4.976889405344129e-06, + "loss": 0.779, + "step": 28757 + }, + { + "epoch": 0.68, + "grad_norm": 1.7273627981760316, + "learning_rate": 4.9762296282862245e-06, + "loss": 0.7248, + "step": 28758 + }, + { + "epoch": 0.68, + "grad_norm": 1.7554448392455706, + "learning_rate": 4.9755698804783045e-06, + "loss": 0.7592, + "step": 28759 + }, + { + "epoch": 0.68, + "grad_norm": 1.820466296669582, + "learning_rate": 4.974910161924204e-06, + "loss": 0.8572, + "step": 28760 + }, + { + "epoch": 0.68, + "grad_norm": 1.67375720238576, + "learning_rate": 4.974250472627771e-06, + "loss": 0.8564, + "step": 28761 + }, + { + "epoch": 0.68, + "grad_norm": 1.664657546442497, + "learning_rate": 4.973590812592839e-06, + "loss": 0.8498, + "step": 28762 + }, + { + "epoch": 0.68, + "grad_norm": 1.3398366595916842, + "learning_rate": 4.9729311818232565e-06, + "loss": 0.7626, + "step": 28763 + }, + { + "epoch": 0.68, + "grad_norm": 1.515331036582327, + "learning_rate": 4.97227158032286e-06, + "loss": 0.8493, + "step": 28764 + }, + { + "epoch": 0.68, + "grad_norm": 1.4585502544294868, + "learning_rate": 4.971612008095486e-06, + "loss": 0.8278, + "step": 28765 + }, + { + "epoch": 0.68, + "grad_norm": 1.492014206596346, + "learning_rate": 4.970952465144979e-06, + "loss": 0.8792, + "step": 28766 + }, + { + "epoch": 0.68, + "grad_norm": 1.6339956670139122, + "learning_rate": 4.970292951475183e-06, + "loss": 0.8486, + "step": 28767 + }, + { + "epoch": 0.68, + "grad_norm": 1.503968526081821, + "learning_rate": 4.969633467089934e-06, + "loss": 0.8539, + "step": 28768 + }, + { + "epoch": 0.68, + "grad_norm": 1.6135389493666084, + "learning_rate": 4.968974011993067e-06, + "loss": 0.9078, + "step": 28769 + }, + { + "epoch": 0.68, + "grad_norm": 1.6463877447627306, + "learning_rate": 4.968314586188427e-06, + "loss": 0.7316, + "step": 28770 + }, + { + "epoch": 0.68, + "grad_norm": 0.7266036298261157, + "learning_rate": 4.9676551896798565e-06, + "loss": 0.6576, + "step": 28771 + }, + { + "epoch": 0.68, + "grad_norm": 1.5886153380072254, + "learning_rate": 4.96699582247119e-06, + "loss": 0.7569, + "step": 28772 + }, + { + "epoch": 0.68, + "grad_norm": 1.4989786554343327, + "learning_rate": 4.9663364845662635e-06, + "loss": 1.0019, + "step": 28773 + }, + { + "epoch": 0.68, + "grad_norm": 1.5204134858745966, + "learning_rate": 4.965677175968919e-06, + "loss": 0.8332, + "step": 28774 + }, + { + "epoch": 0.68, + "grad_norm": 1.5434877467395272, + "learning_rate": 4.965017896683001e-06, + "loss": 0.8463, + "step": 28775 + }, + { + "epoch": 0.68, + "grad_norm": 1.853214712762767, + "learning_rate": 4.9643586467123416e-06, + "loss": 0.8135, + "step": 28776 + }, + { + "epoch": 0.68, + "grad_norm": 0.811135170409245, + "learning_rate": 4.963699426060777e-06, + "loss": 0.6653, + "step": 28777 + }, + { + "epoch": 0.68, + "grad_norm": 1.6855510065706611, + "learning_rate": 4.963040234732154e-06, + "loss": 0.8268, + "step": 28778 + }, + { + "epoch": 0.68, + "grad_norm": 1.637193413816319, + "learning_rate": 4.9623810727303e-06, + "loss": 0.8897, + "step": 28779 + }, + { + "epoch": 0.68, + "grad_norm": 1.6746551213682541, + "learning_rate": 4.961721940059062e-06, + "loss": 0.9433, + "step": 28780 + }, + { + "epoch": 0.68, + "grad_norm": 1.9193159388844578, + "learning_rate": 4.961062836722271e-06, + "loss": 0.6667, + "step": 28781 + }, + { + "epoch": 0.68, + "grad_norm": 1.8444753365061841, + "learning_rate": 4.960403762723771e-06, + "loss": 0.8405, + "step": 28782 + }, + { + "epoch": 0.68, + "grad_norm": 1.599452062401387, + "learning_rate": 4.9597447180673916e-06, + "loss": 0.9699, + "step": 28783 + }, + { + "epoch": 0.68, + "grad_norm": 1.7707915724718057, + "learning_rate": 4.959085702756979e-06, + "loss": 0.8084, + "step": 28784 + }, + { + "epoch": 0.68, + "grad_norm": 1.5782632234619938, + "learning_rate": 4.958426716796364e-06, + "loss": 0.7983, + "step": 28785 + }, + { + "epoch": 0.68, + "grad_norm": 1.7956233964591355, + "learning_rate": 4.957767760189382e-06, + "loss": 0.8978, + "step": 28786 + }, + { + "epoch": 0.68, + "grad_norm": 0.7371578401299788, + "learning_rate": 4.957108832939872e-06, + "loss": 0.7509, + "step": 28787 + }, + { + "epoch": 0.68, + "grad_norm": 1.8541152412439803, + "learning_rate": 4.956449935051675e-06, + "loss": 0.8993, + "step": 28788 + }, + { + "epoch": 0.68, + "grad_norm": 1.83282787229736, + "learning_rate": 4.9557910665286236e-06, + "loss": 0.7165, + "step": 28789 + }, + { + "epoch": 0.68, + "grad_norm": 2.065418983703974, + "learning_rate": 4.955132227374548e-06, + "loss": 0.8902, + "step": 28790 + }, + { + "epoch": 0.68, + "grad_norm": 1.614706744904742, + "learning_rate": 4.954473417593292e-06, + "loss": 0.8084, + "step": 28791 + }, + { + "epoch": 0.68, + "grad_norm": 1.4843348193181056, + "learning_rate": 4.953814637188692e-06, + "loss": 0.8213, + "step": 28792 + }, + { + "epoch": 0.68, + "grad_norm": 1.6644005959125783, + "learning_rate": 4.95315588616458e-06, + "loss": 0.8042, + "step": 28793 + }, + { + "epoch": 0.68, + "grad_norm": 1.9997692658125534, + "learning_rate": 4.95249716452479e-06, + "loss": 0.8032, + "step": 28794 + }, + { + "epoch": 0.68, + "grad_norm": 1.5358711319593275, + "learning_rate": 4.951838472273158e-06, + "loss": 0.8381, + "step": 28795 + }, + { + "epoch": 0.68, + "grad_norm": 1.5724616243606482, + "learning_rate": 4.951179809413526e-06, + "loss": 0.7874, + "step": 28796 + }, + { + "epoch": 0.68, + "grad_norm": 1.884682767070833, + "learning_rate": 4.950521175949722e-06, + "loss": 0.9828, + "step": 28797 + }, + { + "epoch": 0.68, + "grad_norm": 1.5086535622497235, + "learning_rate": 4.9498625718855786e-06, + "loss": 0.877, + "step": 28798 + }, + { + "epoch": 0.68, + "grad_norm": 1.5932529267209679, + "learning_rate": 4.94920399722494e-06, + "loss": 0.8434, + "step": 28799 + }, + { + "epoch": 0.68, + "grad_norm": 1.7888489686810478, + "learning_rate": 4.948545451971629e-06, + "loss": 0.962, + "step": 28800 + }, + { + "epoch": 0.68, + "grad_norm": 1.712444897181545, + "learning_rate": 4.94788693612949e-06, + "loss": 0.9351, + "step": 28801 + }, + { + "epoch": 0.68, + "grad_norm": 1.585516762517265, + "learning_rate": 4.947228449702348e-06, + "loss": 0.914, + "step": 28802 + }, + { + "epoch": 0.68, + "grad_norm": 1.946079951682795, + "learning_rate": 4.946569992694047e-06, + "loss": 0.8571, + "step": 28803 + }, + { + "epoch": 0.68, + "grad_norm": 1.8414797314380176, + "learning_rate": 4.945911565108411e-06, + "loss": 0.9877, + "step": 28804 + }, + { + "epoch": 0.68, + "grad_norm": 1.7025071462787449, + "learning_rate": 4.945253166949282e-06, + "loss": 0.8779, + "step": 28805 + }, + { + "epoch": 0.68, + "grad_norm": 1.5208057694161023, + "learning_rate": 4.944594798220489e-06, + "loss": 0.8065, + "step": 28806 + }, + { + "epoch": 0.68, + "grad_norm": 0.7562987703767209, + "learning_rate": 4.943936458925862e-06, + "loss": 0.665, + "step": 28807 + }, + { + "epoch": 0.68, + "grad_norm": 1.8770988333029217, + "learning_rate": 4.943278149069237e-06, + "loss": 0.874, + "step": 28808 + }, + { + "epoch": 0.68, + "grad_norm": 1.605733851004833, + "learning_rate": 4.942619868654453e-06, + "loss": 1.0068, + "step": 28809 + }, + { + "epoch": 0.68, + "grad_norm": 1.5821216901047503, + "learning_rate": 4.9419616176853355e-06, + "loss": 0.8902, + "step": 28810 + }, + { + "epoch": 0.68, + "grad_norm": 1.4987273685525853, + "learning_rate": 4.941303396165716e-06, + "loss": 0.8616, + "step": 28811 + }, + { + "epoch": 0.68, + "grad_norm": 1.6448605244688104, + "learning_rate": 4.940645204099429e-06, + "loss": 0.7404, + "step": 28812 + }, + { + "epoch": 0.68, + "grad_norm": 1.9967733706439066, + "learning_rate": 4.939987041490312e-06, + "loss": 0.8178, + "step": 28813 + }, + { + "epoch": 0.68, + "grad_norm": 2.0706687936256936, + "learning_rate": 4.939328908342192e-06, + "loss": 0.7985, + "step": 28814 + }, + { + "epoch": 0.68, + "grad_norm": 1.8052384494401756, + "learning_rate": 4.938670804658897e-06, + "loss": 0.8878, + "step": 28815 + }, + { + "epoch": 0.68, + "grad_norm": 1.6128228850416708, + "learning_rate": 4.938012730444264e-06, + "loss": 0.7998, + "step": 28816 + }, + { + "epoch": 0.68, + "grad_norm": 1.6596974548129018, + "learning_rate": 4.937354685702126e-06, + "loss": 0.9041, + "step": 28817 + }, + { + "epoch": 0.68, + "grad_norm": 1.77780256493154, + "learning_rate": 4.936696670436313e-06, + "loss": 0.855, + "step": 28818 + }, + { + "epoch": 0.68, + "grad_norm": 1.697349627231502, + "learning_rate": 4.93603868465065e-06, + "loss": 0.8098, + "step": 28819 + }, + { + "epoch": 0.68, + "grad_norm": 1.5604854836565913, + "learning_rate": 4.935380728348978e-06, + "loss": 0.8424, + "step": 28820 + }, + { + "epoch": 0.68, + "grad_norm": 1.5532938283177076, + "learning_rate": 4.9347228015351185e-06, + "loss": 0.8158, + "step": 28821 + }, + { + "epoch": 0.68, + "grad_norm": 1.6232943846420482, + "learning_rate": 4.934064904212911e-06, + "loss": 0.8016, + "step": 28822 + }, + { + "epoch": 0.68, + "grad_norm": 1.7679300252830021, + "learning_rate": 4.9334070363861765e-06, + "loss": 0.8763, + "step": 28823 + }, + { + "epoch": 0.68, + "grad_norm": 1.6379762084778482, + "learning_rate": 4.932749198058755e-06, + "loss": 0.8266, + "step": 28824 + }, + { + "epoch": 0.68, + "grad_norm": 1.5134282032506974, + "learning_rate": 4.932091389234467e-06, + "loss": 0.7952, + "step": 28825 + }, + { + "epoch": 0.68, + "grad_norm": 1.613958077806911, + "learning_rate": 4.931433609917149e-06, + "loss": 0.7893, + "step": 28826 + }, + { + "epoch": 0.68, + "grad_norm": 1.703432655797391, + "learning_rate": 4.930775860110636e-06, + "loss": 0.9322, + "step": 28827 + }, + { + "epoch": 0.68, + "grad_norm": 1.6246466545323888, + "learning_rate": 4.930118139818742e-06, + "loss": 0.8186, + "step": 28828 + }, + { + "epoch": 0.68, + "grad_norm": 1.6757182513433737, + "learning_rate": 4.929460449045307e-06, + "loss": 0.8194, + "step": 28829 + }, + { + "epoch": 0.68, + "grad_norm": 0.7709476197963295, + "learning_rate": 4.928802787794158e-06, + "loss": 0.7168, + "step": 28830 + }, + { + "epoch": 0.68, + "grad_norm": 1.7047661364311575, + "learning_rate": 4.9281451560691325e-06, + "loss": 0.8126, + "step": 28831 + }, + { + "epoch": 0.68, + "grad_norm": 1.3899498142409448, + "learning_rate": 4.927487553874044e-06, + "loss": 0.831, + "step": 28832 + }, + { + "epoch": 0.68, + "grad_norm": 1.58316901882401, + "learning_rate": 4.926829981212728e-06, + "loss": 0.8698, + "step": 28833 + }, + { + "epoch": 0.68, + "grad_norm": 1.6632516741313816, + "learning_rate": 4.9261724380890195e-06, + "loss": 0.8172, + "step": 28834 + }, + { + "epoch": 0.68, + "grad_norm": 1.7847877064039932, + "learning_rate": 4.92551492450674e-06, + "loss": 0.8646, + "step": 28835 + }, + { + "epoch": 0.68, + "grad_norm": 1.5734153035694423, + "learning_rate": 4.924857440469716e-06, + "loss": 0.7141, + "step": 28836 + }, + { + "epoch": 0.68, + "grad_norm": 1.5763762178111853, + "learning_rate": 4.9241999859817794e-06, + "loss": 0.8008, + "step": 28837 + }, + { + "epoch": 0.68, + "grad_norm": 1.872121652553732, + "learning_rate": 4.923542561046759e-06, + "loss": 1.0186, + "step": 28838 + }, + { + "epoch": 0.68, + "grad_norm": 1.3560784711878369, + "learning_rate": 4.9228851656684794e-06, + "loss": 0.8715, + "step": 28839 + }, + { + "epoch": 0.68, + "grad_norm": 1.46128179976524, + "learning_rate": 4.922227799850772e-06, + "loss": 0.8381, + "step": 28840 + }, + { + "epoch": 0.68, + "grad_norm": 1.7278969994424027, + "learning_rate": 4.921570463597464e-06, + "loss": 0.9937, + "step": 28841 + }, + { + "epoch": 0.68, + "grad_norm": 1.4672504684954533, + "learning_rate": 4.920913156912374e-06, + "loss": 0.7304, + "step": 28842 + }, + { + "epoch": 0.68, + "grad_norm": 2.3222562829682745, + "learning_rate": 4.920255879799338e-06, + "loss": 0.8713, + "step": 28843 + }, + { + "epoch": 0.68, + "grad_norm": 1.7375651875422973, + "learning_rate": 4.919598632262183e-06, + "loss": 0.8352, + "step": 28844 + }, + { + "epoch": 0.68, + "grad_norm": 2.9842823636017983, + "learning_rate": 4.918941414304733e-06, + "loss": 0.9451, + "step": 28845 + }, + { + "epoch": 0.68, + "grad_norm": 1.5923184598187758, + "learning_rate": 4.918284225930812e-06, + "loss": 0.8569, + "step": 28846 + }, + { + "epoch": 0.68, + "grad_norm": 1.5495177544502525, + "learning_rate": 4.917627067144248e-06, + "loss": 0.8647, + "step": 28847 + }, + { + "epoch": 0.68, + "grad_norm": 1.6363582460872357, + "learning_rate": 4.916969937948874e-06, + "loss": 0.8107, + "step": 28848 + }, + { + "epoch": 0.68, + "grad_norm": 1.5537982973583313, + "learning_rate": 4.916312838348508e-06, + "loss": 0.8058, + "step": 28849 + }, + { + "epoch": 0.68, + "grad_norm": 1.6977471646375821, + "learning_rate": 4.915655768346975e-06, + "loss": 0.8231, + "step": 28850 + }, + { + "epoch": 0.68, + "grad_norm": 1.5006012646316118, + "learning_rate": 4.914998727948105e-06, + "loss": 0.9653, + "step": 28851 + }, + { + "epoch": 0.68, + "grad_norm": 1.5613401828716738, + "learning_rate": 4.9143417171557255e-06, + "loss": 0.9548, + "step": 28852 + }, + { + "epoch": 0.68, + "grad_norm": 1.5980124974466525, + "learning_rate": 4.913684735973657e-06, + "loss": 0.8862, + "step": 28853 + }, + { + "epoch": 0.68, + "grad_norm": 1.5318353138352638, + "learning_rate": 4.913027784405724e-06, + "loss": 0.8936, + "step": 28854 + }, + { + "epoch": 0.68, + "grad_norm": 1.6485536787414352, + "learning_rate": 4.912370862455757e-06, + "loss": 0.8392, + "step": 28855 + }, + { + "epoch": 0.68, + "grad_norm": 1.5516034118149264, + "learning_rate": 4.911713970127574e-06, + "loss": 0.877, + "step": 28856 + }, + { + "epoch": 0.68, + "grad_norm": 1.8698347976408172, + "learning_rate": 4.911057107425007e-06, + "loss": 0.8928, + "step": 28857 + }, + { + "epoch": 0.68, + "grad_norm": 3.827751166929193, + "learning_rate": 4.910400274351873e-06, + "loss": 0.7608, + "step": 28858 + }, + { + "epoch": 0.68, + "grad_norm": 1.447272383937774, + "learning_rate": 4.909743470912004e-06, + "loss": 0.844, + "step": 28859 + }, + { + "epoch": 0.68, + "grad_norm": 1.6905975981510526, + "learning_rate": 4.909086697109215e-06, + "loss": 0.7605, + "step": 28860 + }, + { + "epoch": 0.68, + "grad_norm": 1.430981693469883, + "learning_rate": 4.90842995294734e-06, + "loss": 0.6974, + "step": 28861 + }, + { + "epoch": 0.68, + "grad_norm": 1.4793797807120537, + "learning_rate": 4.907773238430198e-06, + "loss": 0.809, + "step": 28862 + }, + { + "epoch": 0.68, + "grad_norm": 1.5330432900786857, + "learning_rate": 4.907116553561608e-06, + "loss": 0.8591, + "step": 28863 + }, + { + "epoch": 0.68, + "grad_norm": 1.34522003345475, + "learning_rate": 4.906459898345397e-06, + "loss": 0.7641, + "step": 28864 + }, + { + "epoch": 0.68, + "grad_norm": 1.6931884998333468, + "learning_rate": 4.905803272785394e-06, + "loss": 0.7888, + "step": 28865 + }, + { + "epoch": 0.68, + "grad_norm": 2.0602473646381854, + "learning_rate": 4.905146676885417e-06, + "loss": 0.8891, + "step": 28866 + }, + { + "epoch": 0.68, + "grad_norm": 1.4822664513142312, + "learning_rate": 4.904490110649285e-06, + "loss": 0.8267, + "step": 28867 + }, + { + "epoch": 0.68, + "grad_norm": 1.54968966098971, + "learning_rate": 4.903833574080825e-06, + "loss": 0.8931, + "step": 28868 + }, + { + "epoch": 0.68, + "grad_norm": 1.7385308119523672, + "learning_rate": 4.903177067183863e-06, + "loss": 0.8485, + "step": 28869 + }, + { + "epoch": 0.68, + "grad_norm": 1.8745624242432224, + "learning_rate": 4.902520589962218e-06, + "loss": 0.8306, + "step": 28870 + }, + { + "epoch": 0.68, + "grad_norm": 0.7804342341514346, + "learning_rate": 4.9018641424197075e-06, + "loss": 0.6913, + "step": 28871 + }, + { + "epoch": 0.68, + "grad_norm": 1.6631588864378366, + "learning_rate": 4.901207724560158e-06, + "loss": 0.829, + "step": 28872 + }, + { + "epoch": 0.68, + "grad_norm": 1.5391979264599494, + "learning_rate": 4.900551336387395e-06, + "loss": 0.8033, + "step": 28873 + }, + { + "epoch": 0.68, + "grad_norm": 1.5338232545013493, + "learning_rate": 4.899894977905239e-06, + "loss": 0.8617, + "step": 28874 + }, + { + "epoch": 0.68, + "grad_norm": 1.5606371542348547, + "learning_rate": 4.8992386491175025e-06, + "loss": 0.9535, + "step": 28875 + }, + { + "epoch": 0.68, + "grad_norm": 1.6566686924812406, + "learning_rate": 4.898582350028015e-06, + "loss": 0.8695, + "step": 28876 + }, + { + "epoch": 0.68, + "grad_norm": 1.680511341049591, + "learning_rate": 4.897926080640599e-06, + "loss": 0.8556, + "step": 28877 + }, + { + "epoch": 0.68, + "grad_norm": 1.5793894301787457, + "learning_rate": 4.897269840959072e-06, + "loss": 0.9623, + "step": 28878 + }, + { + "epoch": 0.68, + "grad_norm": 1.4743070810258638, + "learning_rate": 4.896613630987254e-06, + "loss": 0.8147, + "step": 28879 + }, + { + "epoch": 0.68, + "grad_norm": 1.99430747615842, + "learning_rate": 4.89595745072897e-06, + "loss": 0.8641, + "step": 28880 + }, + { + "epoch": 0.68, + "grad_norm": 0.7640740141136325, + "learning_rate": 4.8953013001880324e-06, + "loss": 0.6889, + "step": 28881 + }, + { + "epoch": 0.68, + "grad_norm": 1.7343710192039166, + "learning_rate": 4.894645179368272e-06, + "loss": 0.7763, + "step": 28882 + }, + { + "epoch": 0.68, + "grad_norm": 1.6409396001918681, + "learning_rate": 4.8939890882735e-06, + "loss": 0.8277, + "step": 28883 + }, + { + "epoch": 0.68, + "grad_norm": 1.719298249417394, + "learning_rate": 4.893333026907543e-06, + "loss": 0.8663, + "step": 28884 + }, + { + "epoch": 0.68, + "grad_norm": 1.7020369490545069, + "learning_rate": 4.8926769952742145e-06, + "loss": 0.7638, + "step": 28885 + }, + { + "epoch": 0.68, + "grad_norm": 1.5584371890993869, + "learning_rate": 4.892020993377341e-06, + "loss": 0.908, + "step": 28886 + }, + { + "epoch": 0.68, + "grad_norm": 0.7998240725659383, + "learning_rate": 4.891365021220739e-06, + "loss": 0.7231, + "step": 28887 + }, + { + "epoch": 0.68, + "grad_norm": 0.7632344795857873, + "learning_rate": 4.8907090788082225e-06, + "loss": 0.7484, + "step": 28888 + }, + { + "epoch": 0.68, + "grad_norm": 1.7123843233032152, + "learning_rate": 4.890053166143617e-06, + "loss": 1.0078, + "step": 28889 + }, + { + "epoch": 0.68, + "grad_norm": 1.7092687905734312, + "learning_rate": 4.889397283230742e-06, + "loss": 0.7739, + "step": 28890 + }, + { + "epoch": 0.68, + "grad_norm": 0.8052678208146004, + "learning_rate": 4.888741430073414e-06, + "loss": 0.6609, + "step": 28891 + }, + { + "epoch": 0.68, + "grad_norm": 1.7313077986866998, + "learning_rate": 4.888085606675449e-06, + "loss": 0.7125, + "step": 28892 + }, + { + "epoch": 0.68, + "grad_norm": 1.4393093254533307, + "learning_rate": 4.8874298130406665e-06, + "loss": 0.8952, + "step": 28893 + }, + { + "epoch": 0.68, + "grad_norm": 1.524757328124971, + "learning_rate": 4.886774049172891e-06, + "loss": 0.8615, + "step": 28894 + }, + { + "epoch": 0.68, + "grad_norm": 1.3542250814522787, + "learning_rate": 4.886118315075935e-06, + "loss": 0.7477, + "step": 28895 + }, + { + "epoch": 0.68, + "grad_norm": 1.7245646338434788, + "learning_rate": 4.885462610753614e-06, + "loss": 0.9581, + "step": 28896 + }, + { + "epoch": 0.68, + "grad_norm": 1.721509258498823, + "learning_rate": 4.884806936209749e-06, + "loss": 0.8229, + "step": 28897 + }, + { + "epoch": 0.68, + "grad_norm": 1.4502371158057572, + "learning_rate": 4.884151291448161e-06, + "loss": 0.77, + "step": 28898 + }, + { + "epoch": 0.68, + "grad_norm": 1.5107850807167749, + "learning_rate": 4.883495676472665e-06, + "loss": 0.9031, + "step": 28899 + }, + { + "epoch": 0.68, + "grad_norm": 1.5738658219891422, + "learning_rate": 4.882840091287072e-06, + "loss": 0.8305, + "step": 28900 + }, + { + "epoch": 0.68, + "grad_norm": 1.5105112534801617, + "learning_rate": 4.882184535895208e-06, + "loss": 0.8415, + "step": 28901 + }, + { + "epoch": 0.68, + "grad_norm": 1.6139942185363865, + "learning_rate": 4.881529010300882e-06, + "loss": 0.6673, + "step": 28902 + }, + { + "epoch": 0.68, + "grad_norm": 0.7768799161600813, + "learning_rate": 4.880873514507919e-06, + "loss": 0.7448, + "step": 28903 + }, + { + "epoch": 0.68, + "grad_norm": 1.564213302119461, + "learning_rate": 4.880218048520127e-06, + "loss": 0.8607, + "step": 28904 + }, + { + "epoch": 0.68, + "grad_norm": 1.4873818552951188, + "learning_rate": 4.87956261234133e-06, + "loss": 0.7043, + "step": 28905 + }, + { + "epoch": 0.68, + "grad_norm": 1.736328539852301, + "learning_rate": 4.878907205975336e-06, + "loss": 0.7617, + "step": 28906 + }, + { + "epoch": 0.68, + "grad_norm": 1.715058189267271, + "learning_rate": 4.87825182942597e-06, + "loss": 0.8857, + "step": 28907 + }, + { + "epoch": 0.68, + "grad_norm": 1.6737305357893135, + "learning_rate": 4.877596482697045e-06, + "loss": 0.8451, + "step": 28908 + }, + { + "epoch": 0.68, + "grad_norm": 1.6609733369277846, + "learning_rate": 4.87694116579237e-06, + "loss": 0.8591, + "step": 28909 + }, + { + "epoch": 0.68, + "grad_norm": 1.6718997526648236, + "learning_rate": 4.876285878715764e-06, + "loss": 0.8543, + "step": 28910 + }, + { + "epoch": 0.68, + "grad_norm": 0.7568935197413529, + "learning_rate": 4.875630621471045e-06, + "loss": 0.7136, + "step": 28911 + }, + { + "epoch": 0.68, + "grad_norm": 1.657969073090903, + "learning_rate": 4.874975394062034e-06, + "loss": 0.8889, + "step": 28912 + }, + { + "epoch": 0.68, + "grad_norm": 2.0100118884266878, + "learning_rate": 4.874320196492533e-06, + "loss": 0.994, + "step": 28913 + }, + { + "epoch": 0.68, + "grad_norm": 0.7402063801426974, + "learning_rate": 4.873665028766361e-06, + "loss": 0.6872, + "step": 28914 + }, + { + "epoch": 0.68, + "grad_norm": 0.7565384891726261, + "learning_rate": 4.873009890887338e-06, + "loss": 0.8049, + "step": 28915 + }, + { + "epoch": 0.68, + "grad_norm": 1.545953477681981, + "learning_rate": 4.872354782859274e-06, + "loss": 0.9, + "step": 28916 + }, + { + "epoch": 0.68, + "grad_norm": 1.6858379750578953, + "learning_rate": 4.8716997046859816e-06, + "loss": 0.8814, + "step": 28917 + }, + { + "epoch": 0.68, + "grad_norm": 1.4984164130917843, + "learning_rate": 4.871044656371276e-06, + "loss": 0.8285, + "step": 28918 + }, + { + "epoch": 0.68, + "grad_norm": 1.5428172618102578, + "learning_rate": 4.870389637918976e-06, + "loss": 0.9292, + "step": 28919 + }, + { + "epoch": 0.68, + "grad_norm": 1.5872450598714214, + "learning_rate": 4.869734649332892e-06, + "loss": 0.7159, + "step": 28920 + }, + { + "epoch": 0.68, + "grad_norm": 1.3881158320348626, + "learning_rate": 4.8690796906168334e-06, + "loss": 0.6442, + "step": 28921 + }, + { + "epoch": 0.68, + "grad_norm": 1.6851951653417199, + "learning_rate": 4.868424761774622e-06, + "loss": 0.816, + "step": 28922 + }, + { + "epoch": 0.68, + "grad_norm": 1.6110631341577852, + "learning_rate": 4.867769862810061e-06, + "loss": 1.0191, + "step": 28923 + }, + { + "epoch": 0.68, + "grad_norm": 1.6824288799572888, + "learning_rate": 4.8671149937269694e-06, + "loss": 0.7476, + "step": 28924 + }, + { + "epoch": 0.68, + "grad_norm": 1.6745804882162236, + "learning_rate": 4.866460154529163e-06, + "loss": 0.8235, + "step": 28925 + }, + { + "epoch": 0.68, + "grad_norm": 1.642727834591334, + "learning_rate": 4.86580534522045e-06, + "loss": 0.8498, + "step": 28926 + }, + { + "epoch": 0.68, + "grad_norm": 1.5342724344371244, + "learning_rate": 4.86515056580464e-06, + "loss": 0.7622, + "step": 28927 + }, + { + "epoch": 0.68, + "grad_norm": 2.2288333020096154, + "learning_rate": 4.864495816285549e-06, + "loss": 0.8899, + "step": 28928 + }, + { + "epoch": 0.68, + "grad_norm": 1.7501092939102714, + "learning_rate": 4.863841096666998e-06, + "loss": 1.0005, + "step": 28929 + }, + { + "epoch": 0.68, + "grad_norm": 2.0875018240831364, + "learning_rate": 4.863186406952782e-06, + "loss": 0.9435, + "step": 28930 + }, + { + "epoch": 0.68, + "grad_norm": 1.5838954598846644, + "learning_rate": 4.862531747146722e-06, + "loss": 0.7597, + "step": 28931 + }, + { + "epoch": 0.68, + "grad_norm": 1.4197383293674974, + "learning_rate": 4.861877117252627e-06, + "loss": 0.7899, + "step": 28932 + }, + { + "epoch": 0.68, + "grad_norm": 2.082233932313073, + "learning_rate": 4.861222517274319e-06, + "loss": 0.8254, + "step": 28933 + }, + { + "epoch": 0.68, + "grad_norm": 1.4267311504731566, + "learning_rate": 4.860567947215592e-06, + "loss": 0.8114, + "step": 28934 + }, + { + "epoch": 0.68, + "grad_norm": 1.5106121129681236, + "learning_rate": 4.8599134070802656e-06, + "loss": 0.8141, + "step": 28935 + }, + { + "epoch": 0.68, + "grad_norm": 1.723899044198669, + "learning_rate": 4.859258896872155e-06, + "loss": 0.858, + "step": 28936 + }, + { + "epoch": 0.68, + "grad_norm": 2.101680378907761, + "learning_rate": 4.858604416595063e-06, + "loss": 0.8644, + "step": 28937 + }, + { + "epoch": 0.68, + "grad_norm": 1.9236423818787616, + "learning_rate": 4.857949966252806e-06, + "loss": 0.7114, + "step": 28938 + }, + { + "epoch": 0.68, + "grad_norm": 1.5712767398489136, + "learning_rate": 4.85729554584919e-06, + "loss": 0.7066, + "step": 28939 + }, + { + "epoch": 0.68, + "grad_norm": 1.6585960770845654, + "learning_rate": 4.856641155388031e-06, + "loss": 0.7667, + "step": 28940 + }, + { + "epoch": 0.68, + "grad_norm": 1.6375851729900686, + "learning_rate": 4.8559867948731325e-06, + "loss": 0.6906, + "step": 28941 + }, + { + "epoch": 0.68, + "grad_norm": 1.6041307708715618, + "learning_rate": 4.85533246430831e-06, + "loss": 0.9277, + "step": 28942 + }, + { + "epoch": 0.68, + "grad_norm": 1.6288770596858386, + "learning_rate": 4.854678163697371e-06, + "loss": 0.774, + "step": 28943 + }, + { + "epoch": 0.68, + "grad_norm": 1.765737862963493, + "learning_rate": 4.854023893044121e-06, + "loss": 0.8236, + "step": 28944 + }, + { + "epoch": 0.68, + "grad_norm": 1.8321102722036837, + "learning_rate": 4.853369652352373e-06, + "loss": 0.8714, + "step": 28945 + }, + { + "epoch": 0.68, + "grad_norm": 1.4608631665947565, + "learning_rate": 4.85271544162594e-06, + "loss": 0.7711, + "step": 28946 + }, + { + "epoch": 0.68, + "grad_norm": 0.748823100071395, + "learning_rate": 4.8520612608686265e-06, + "loss": 0.6861, + "step": 28947 + }, + { + "epoch": 0.68, + "grad_norm": 0.7729433515296504, + "learning_rate": 4.8514071100842395e-06, + "loss": 0.6828, + "step": 28948 + }, + { + "epoch": 0.68, + "grad_norm": 1.4981831924692262, + "learning_rate": 4.85075298927659e-06, + "loss": 0.8064, + "step": 28949 + }, + { + "epoch": 0.68, + "grad_norm": 1.8857490935697978, + "learning_rate": 4.850098898449491e-06, + "loss": 0.8306, + "step": 28950 + }, + { + "epoch": 0.68, + "grad_norm": 1.575363375846999, + "learning_rate": 4.849444837606747e-06, + "loss": 0.8691, + "step": 28951 + }, + { + "epoch": 0.68, + "grad_norm": 2.1938090301765634, + "learning_rate": 4.848790806752162e-06, + "loss": 0.8485, + "step": 28952 + }, + { + "epoch": 0.68, + "grad_norm": 1.7711841158156318, + "learning_rate": 4.848136805889546e-06, + "loss": 0.841, + "step": 28953 + }, + { + "epoch": 0.68, + "grad_norm": 1.6335191509608242, + "learning_rate": 4.8474828350227135e-06, + "loss": 0.945, + "step": 28954 + }, + { + "epoch": 0.68, + "grad_norm": 1.5566471973143436, + "learning_rate": 4.846828894155468e-06, + "loss": 0.8326, + "step": 28955 + }, + { + "epoch": 0.68, + "grad_norm": 1.4732715536042704, + "learning_rate": 4.8461749832916104e-06, + "loss": 0.8868, + "step": 28956 + }, + { + "epoch": 0.68, + "grad_norm": 0.7489416271726476, + "learning_rate": 4.845521102434959e-06, + "loss": 0.7289, + "step": 28957 + }, + { + "epoch": 0.68, + "grad_norm": 1.6909231868248096, + "learning_rate": 4.844867251589311e-06, + "loss": 0.7514, + "step": 28958 + }, + { + "epoch": 0.68, + "grad_norm": 1.6048439304067859, + "learning_rate": 4.844213430758483e-06, + "loss": 0.8637, + "step": 28959 + }, + { + "epoch": 0.68, + "grad_norm": 1.6950195384072277, + "learning_rate": 4.8435596399462725e-06, + "loss": 0.9248, + "step": 28960 + }, + { + "epoch": 0.68, + "grad_norm": 1.76720711961433, + "learning_rate": 4.842905879156493e-06, + "loss": 0.7826, + "step": 28961 + }, + { + "epoch": 0.68, + "grad_norm": 1.610614636148591, + "learning_rate": 4.842252148392945e-06, + "loss": 0.85, + "step": 28962 + }, + { + "epoch": 0.68, + "grad_norm": 1.343413823878255, + "learning_rate": 4.841598447659443e-06, + "loss": 0.7424, + "step": 28963 + }, + { + "epoch": 0.68, + "grad_norm": 2.0048760752476458, + "learning_rate": 4.840944776959786e-06, + "loss": 0.9513, + "step": 28964 + }, + { + "epoch": 0.68, + "grad_norm": 1.5608839163534887, + "learning_rate": 4.840291136297779e-06, + "loss": 0.929, + "step": 28965 + }, + { + "epoch": 0.68, + "grad_norm": 2.2502833570483993, + "learning_rate": 4.83963752567723e-06, + "loss": 0.8144, + "step": 28966 + }, + { + "epoch": 0.68, + "grad_norm": 1.455302324939961, + "learning_rate": 4.838983945101949e-06, + "loss": 0.8347, + "step": 28967 + }, + { + "epoch": 0.68, + "grad_norm": 1.5506432079440686, + "learning_rate": 4.8383303945757374e-06, + "loss": 0.8651, + "step": 28968 + }, + { + "epoch": 0.68, + "grad_norm": 1.5648997824060957, + "learning_rate": 4.837676874102397e-06, + "loss": 0.9635, + "step": 28969 + }, + { + "epoch": 0.68, + "grad_norm": 1.809811823217894, + "learning_rate": 4.837023383685736e-06, + "loss": 0.8329, + "step": 28970 + }, + { + "epoch": 0.68, + "grad_norm": 1.5999480073441874, + "learning_rate": 4.836369923329564e-06, + "loss": 0.7614, + "step": 28971 + }, + { + "epoch": 0.68, + "grad_norm": 1.5801712346950143, + "learning_rate": 4.83571649303768e-06, + "loss": 0.8309, + "step": 28972 + }, + { + "epoch": 0.68, + "grad_norm": 1.5491044720329599, + "learning_rate": 4.835063092813886e-06, + "loss": 0.8536, + "step": 28973 + }, + { + "epoch": 0.68, + "grad_norm": 1.457852290617037, + "learning_rate": 4.83440972266199e-06, + "loss": 0.7417, + "step": 28974 + }, + { + "epoch": 0.68, + "grad_norm": 1.3933345820970897, + "learning_rate": 4.833756382585799e-06, + "loss": 0.9112, + "step": 28975 + }, + { + "epoch": 0.68, + "grad_norm": 1.5312908934100589, + "learning_rate": 4.8331030725891145e-06, + "loss": 0.9328, + "step": 28976 + }, + { + "epoch": 0.68, + "grad_norm": 1.709204255911185, + "learning_rate": 4.832449792675737e-06, + "loss": 0.8881, + "step": 28977 + }, + { + "epoch": 0.68, + "grad_norm": 1.7045511657018209, + "learning_rate": 4.831796542849476e-06, + "loss": 0.8275, + "step": 28978 + }, + { + "epoch": 0.68, + "grad_norm": 1.400107345121314, + "learning_rate": 4.831143323114127e-06, + "loss": 0.81, + "step": 28979 + }, + { + "epoch": 0.68, + "grad_norm": 1.567120747906462, + "learning_rate": 4.8304901334735035e-06, + "loss": 0.8301, + "step": 28980 + }, + { + "epoch": 0.68, + "grad_norm": 1.7159680157306147, + "learning_rate": 4.8298369739313975e-06, + "loss": 0.7698, + "step": 28981 + }, + { + "epoch": 0.68, + "grad_norm": 1.449934773208679, + "learning_rate": 4.829183844491623e-06, + "loss": 0.8785, + "step": 28982 + }, + { + "epoch": 0.68, + "grad_norm": 1.6886886244053396, + "learning_rate": 4.828530745157972e-06, + "loss": 0.824, + "step": 28983 + }, + { + "epoch": 0.68, + "grad_norm": 1.5239545844401654, + "learning_rate": 4.827877675934256e-06, + "loss": 0.7515, + "step": 28984 + }, + { + "epoch": 0.68, + "grad_norm": 1.7339914987535217, + "learning_rate": 4.827224636824275e-06, + "loss": 0.866, + "step": 28985 + }, + { + "epoch": 0.68, + "grad_norm": 1.512232314763118, + "learning_rate": 4.826571627831824e-06, + "loss": 0.8838, + "step": 28986 + }, + { + "epoch": 0.68, + "grad_norm": 2.3469713136166126, + "learning_rate": 4.825918648960712e-06, + "loss": 0.8423, + "step": 28987 + }, + { + "epoch": 0.68, + "grad_norm": 1.5810061436312723, + "learning_rate": 4.825265700214744e-06, + "loss": 0.8694, + "step": 28988 + }, + { + "epoch": 0.68, + "grad_norm": 1.6316461818757753, + "learning_rate": 4.824612781597717e-06, + "loss": 0.8668, + "step": 28989 + }, + { + "epoch": 0.68, + "grad_norm": 1.584129246393822, + "learning_rate": 4.823959893113429e-06, + "loss": 0.9171, + "step": 28990 + }, + { + "epoch": 0.68, + "grad_norm": 1.6149750075015301, + "learning_rate": 4.823307034765686e-06, + "loss": 0.8786, + "step": 28991 + }, + { + "epoch": 0.68, + "grad_norm": 1.569966845722245, + "learning_rate": 4.822654206558292e-06, + "loss": 0.9632, + "step": 28992 + }, + { + "epoch": 0.68, + "grad_norm": 0.7353576448399245, + "learning_rate": 4.822001408495043e-06, + "loss": 0.665, + "step": 28993 + }, + { + "epoch": 0.68, + "grad_norm": 1.725799235476976, + "learning_rate": 4.821348640579738e-06, + "loss": 0.8584, + "step": 28994 + }, + { + "epoch": 0.68, + "grad_norm": 1.576713667613023, + "learning_rate": 4.820695902816181e-06, + "loss": 0.9724, + "step": 28995 + }, + { + "epoch": 0.68, + "grad_norm": 1.942532947711272, + "learning_rate": 4.820043195208176e-06, + "loss": 0.881, + "step": 28996 + }, + { + "epoch": 0.68, + "grad_norm": 1.466872815323988, + "learning_rate": 4.819390517759519e-06, + "loss": 0.8784, + "step": 28997 + }, + { + "epoch": 0.68, + "grad_norm": 0.7622858175690579, + "learning_rate": 4.818737870474007e-06, + "loss": 0.764, + "step": 28998 + }, + { + "epoch": 0.68, + "grad_norm": 1.561577323660888, + "learning_rate": 4.818085253355443e-06, + "loss": 0.9146, + "step": 28999 + }, + { + "epoch": 0.68, + "grad_norm": 1.585686146673489, + "learning_rate": 4.8174326664076324e-06, + "loss": 0.7601, + "step": 29000 + }, + { + "epoch": 0.68, + "grad_norm": 1.5528957642197774, + "learning_rate": 4.816780109634368e-06, + "loss": 0.7596, + "step": 29001 + }, + { + "epoch": 0.68, + "grad_norm": 1.4266563858597603, + "learning_rate": 4.816127583039448e-06, + "loss": 0.7759, + "step": 29002 + }, + { + "epoch": 0.68, + "grad_norm": 0.7679306625045743, + "learning_rate": 4.8154750866266785e-06, + "loss": 0.7039, + "step": 29003 + }, + { + "epoch": 0.68, + "grad_norm": 1.6747198523195483, + "learning_rate": 4.814822620399849e-06, + "loss": 0.8209, + "step": 29004 + }, + { + "epoch": 0.68, + "grad_norm": 1.7724369834300608, + "learning_rate": 4.81417018436277e-06, + "loss": 0.7795, + "step": 29005 + }, + { + "epoch": 0.68, + "grad_norm": 0.7934148503975926, + "learning_rate": 4.8135177785192275e-06, + "loss": 0.7565, + "step": 29006 + }, + { + "epoch": 0.68, + "grad_norm": 2.45280273996441, + "learning_rate": 4.812865402873032e-06, + "loss": 0.8042, + "step": 29007 + }, + { + "epoch": 0.68, + "grad_norm": 0.7412163204709449, + "learning_rate": 4.812213057427972e-06, + "loss": 0.7002, + "step": 29008 + }, + { + "epoch": 0.68, + "grad_norm": 0.8031613340275108, + "learning_rate": 4.811560742187851e-06, + "loss": 0.7698, + "step": 29009 + }, + { + "epoch": 0.68, + "grad_norm": 1.7713626436424181, + "learning_rate": 4.810908457156472e-06, + "loss": 0.9508, + "step": 29010 + }, + { + "epoch": 0.68, + "grad_norm": 1.5629725798068765, + "learning_rate": 4.810256202337621e-06, + "loss": 0.8202, + "step": 29011 + }, + { + "epoch": 0.68, + "grad_norm": 1.6487322028414262, + "learning_rate": 4.8096039777351e-06, + "loss": 0.7566, + "step": 29012 + }, + { + "epoch": 0.68, + "grad_norm": 1.8143952848119065, + "learning_rate": 4.808951783352709e-06, + "loss": 0.902, + "step": 29013 + }, + { + "epoch": 0.68, + "grad_norm": 1.649249838675814, + "learning_rate": 4.808299619194251e-06, + "loss": 0.7901, + "step": 29014 + }, + { + "epoch": 0.68, + "grad_norm": 1.6367498345939797, + "learning_rate": 4.807647485263508e-06, + "loss": 0.9948, + "step": 29015 + }, + { + "epoch": 0.68, + "grad_norm": 1.892971055988037, + "learning_rate": 4.8069953815642865e-06, + "loss": 0.8368, + "step": 29016 + }, + { + "epoch": 0.68, + "grad_norm": 1.5362787464040408, + "learning_rate": 4.806343308100385e-06, + "loss": 0.7756, + "step": 29017 + }, + { + "epoch": 0.68, + "grad_norm": 1.5972861382491832, + "learning_rate": 4.8056912648755975e-06, + "loss": 0.7892, + "step": 29018 + }, + { + "epoch": 0.68, + "grad_norm": 1.5757812489538898, + "learning_rate": 4.805039251893716e-06, + "loss": 0.9725, + "step": 29019 + }, + { + "epoch": 0.68, + "grad_norm": 1.492694820045386, + "learning_rate": 4.80438726915854e-06, + "loss": 0.8984, + "step": 29020 + }, + { + "epoch": 0.68, + "grad_norm": 1.7142932754802251, + "learning_rate": 4.803735316673871e-06, + "loss": 0.9714, + "step": 29021 + }, + { + "epoch": 0.68, + "grad_norm": 1.6135479157204973, + "learning_rate": 4.803083394443497e-06, + "loss": 0.8742, + "step": 29022 + }, + { + "epoch": 0.68, + "grad_norm": 1.7082007107961872, + "learning_rate": 4.802431502471219e-06, + "loss": 0.8306, + "step": 29023 + }, + { + "epoch": 0.68, + "grad_norm": 1.476523617509706, + "learning_rate": 4.801779640760831e-06, + "loss": 0.8172, + "step": 29024 + }, + { + "epoch": 0.68, + "grad_norm": 2.106038351490549, + "learning_rate": 4.801127809316123e-06, + "loss": 0.7609, + "step": 29025 + }, + { + "epoch": 0.68, + "grad_norm": 1.6081201486522108, + "learning_rate": 4.8004760081408966e-06, + "loss": 0.8876, + "step": 29026 + }, + { + "epoch": 0.68, + "grad_norm": 1.5547017451078786, + "learning_rate": 4.799824237238947e-06, + "loss": 0.9531, + "step": 29027 + }, + { + "epoch": 0.68, + "grad_norm": 1.5461310838258233, + "learning_rate": 4.7991724966140674e-06, + "loss": 0.9399, + "step": 29028 + }, + { + "epoch": 0.68, + "grad_norm": 1.6573102970603737, + "learning_rate": 4.798520786270049e-06, + "loss": 0.7961, + "step": 29029 + }, + { + "epoch": 0.68, + "grad_norm": 2.0491134699804774, + "learning_rate": 4.79786910621069e-06, + "loss": 1.0246, + "step": 29030 + }, + { + "epoch": 0.68, + "grad_norm": 1.555851679948003, + "learning_rate": 4.79721745643979e-06, + "loss": 0.8308, + "step": 29031 + }, + { + "epoch": 0.68, + "grad_norm": 1.550219704875522, + "learning_rate": 4.79656583696113e-06, + "loss": 0.821, + "step": 29032 + }, + { + "epoch": 0.68, + "grad_norm": 1.7259713150331857, + "learning_rate": 4.795914247778511e-06, + "loss": 0.9999, + "step": 29033 + }, + { + "epoch": 0.68, + "grad_norm": 2.0444745013167003, + "learning_rate": 4.795262688895728e-06, + "loss": 0.8898, + "step": 29034 + }, + { + "epoch": 0.68, + "grad_norm": 1.8399904554792255, + "learning_rate": 4.794611160316576e-06, + "loss": 0.9078, + "step": 29035 + }, + { + "epoch": 0.68, + "grad_norm": 1.614994191037303, + "learning_rate": 4.793959662044846e-06, + "loss": 0.7559, + "step": 29036 + }, + { + "epoch": 0.68, + "grad_norm": 2.320613492663593, + "learning_rate": 4.793308194084327e-06, + "loss": 0.8268, + "step": 29037 + }, + { + "epoch": 0.68, + "grad_norm": 1.7046369024955783, + "learning_rate": 4.792656756438821e-06, + "loss": 0.7852, + "step": 29038 + }, + { + "epoch": 0.68, + "grad_norm": 1.5024422495479777, + "learning_rate": 4.7920053491121114e-06, + "loss": 0.9687, + "step": 29039 + }, + { + "epoch": 0.68, + "grad_norm": 1.4672117056409202, + "learning_rate": 4.791353972107999e-06, + "loss": 0.8098, + "step": 29040 + }, + { + "epoch": 0.68, + "grad_norm": 1.6557064986168135, + "learning_rate": 4.790702625430269e-06, + "loss": 0.8138, + "step": 29041 + }, + { + "epoch": 0.68, + "grad_norm": 1.6474176087876027, + "learning_rate": 4.7900513090827225e-06, + "loss": 0.9644, + "step": 29042 + }, + { + "epoch": 0.68, + "grad_norm": 2.336694852750086, + "learning_rate": 4.789400023069142e-06, + "loss": 0.8388, + "step": 29043 + }, + { + "epoch": 0.68, + "grad_norm": 1.4742742218368454, + "learning_rate": 4.788748767393328e-06, + "loss": 0.9033, + "step": 29044 + }, + { + "epoch": 0.68, + "grad_norm": 1.5842146692466001, + "learning_rate": 4.788097542059069e-06, + "loss": 0.7711, + "step": 29045 + }, + { + "epoch": 0.68, + "grad_norm": 1.55244443003714, + "learning_rate": 4.787446347070152e-06, + "loss": 1.007, + "step": 29046 + }, + { + "epoch": 0.68, + "grad_norm": 1.5674981384727882, + "learning_rate": 4.7867951824303725e-06, + "loss": 0.869, + "step": 29047 + }, + { + "epoch": 0.68, + "grad_norm": 1.5140052254916991, + "learning_rate": 4.786144048143526e-06, + "loss": 0.7973, + "step": 29048 + }, + { + "epoch": 0.68, + "grad_norm": 1.6736394693712404, + "learning_rate": 4.785492944213399e-06, + "loss": 0.9603, + "step": 29049 + }, + { + "epoch": 0.68, + "grad_norm": 1.468309502264924, + "learning_rate": 4.784841870643781e-06, + "loss": 0.7932, + "step": 29050 + }, + { + "epoch": 0.68, + "grad_norm": 1.8029167819447138, + "learning_rate": 4.784190827438462e-06, + "loss": 0.9344, + "step": 29051 + }, + { + "epoch": 0.68, + "grad_norm": 1.4436193106988933, + "learning_rate": 4.783539814601242e-06, + "loss": 0.9357, + "step": 29052 + }, + { + "epoch": 0.68, + "grad_norm": 1.730565448753806, + "learning_rate": 4.782888832135903e-06, + "loss": 0.8989, + "step": 29053 + }, + { + "epoch": 0.68, + "grad_norm": 1.587920746156155, + "learning_rate": 4.782237880046232e-06, + "loss": 0.8568, + "step": 29054 + }, + { + "epoch": 0.68, + "grad_norm": 1.8897096379113283, + "learning_rate": 4.781586958336025e-06, + "loss": 0.8425, + "step": 29055 + }, + { + "epoch": 0.68, + "grad_norm": 1.706972184696521, + "learning_rate": 4.780936067009075e-06, + "loss": 0.961, + "step": 29056 + }, + { + "epoch": 0.68, + "grad_norm": 1.5679689930210665, + "learning_rate": 4.7802852060691676e-06, + "loss": 0.7234, + "step": 29057 + }, + { + "epoch": 0.68, + "grad_norm": 1.5559436438694807, + "learning_rate": 4.779634375520088e-06, + "loss": 0.8105, + "step": 29058 + }, + { + "epoch": 0.68, + "grad_norm": 1.4510327427262835, + "learning_rate": 4.778983575365634e-06, + "loss": 0.7664, + "step": 29059 + }, + { + "epoch": 0.68, + "grad_norm": 1.4180898451910535, + "learning_rate": 4.778332805609587e-06, + "loss": 0.779, + "step": 29060 + }, + { + "epoch": 0.68, + "grad_norm": 1.738976212173984, + "learning_rate": 4.777682066255743e-06, + "loss": 0.9859, + "step": 29061 + }, + { + "epoch": 0.68, + "grad_norm": 1.8437642396935412, + "learning_rate": 4.777031357307884e-06, + "loss": 0.9061, + "step": 29062 + }, + { + "epoch": 0.68, + "grad_norm": 1.5411011117048952, + "learning_rate": 4.776380678769805e-06, + "loss": 0.8929, + "step": 29063 + }, + { + "epoch": 0.68, + "grad_norm": 1.4602308676441282, + "learning_rate": 4.775730030645288e-06, + "loss": 0.9097, + "step": 29064 + }, + { + "epoch": 0.68, + "grad_norm": 1.4941563595110041, + "learning_rate": 4.7750794129381285e-06, + "loss": 0.8821, + "step": 29065 + }, + { + "epoch": 0.68, + "grad_norm": 1.5997777888103089, + "learning_rate": 4.774428825652111e-06, + "loss": 0.8175, + "step": 29066 + }, + { + "epoch": 0.68, + "grad_norm": 1.8828014843461938, + "learning_rate": 4.77377826879102e-06, + "loss": 0.9228, + "step": 29067 + }, + { + "epoch": 0.68, + "grad_norm": 1.5687187212076292, + "learning_rate": 4.773127742358645e-06, + "loss": 0.8998, + "step": 29068 + }, + { + "epoch": 0.68, + "grad_norm": 2.424061171307659, + "learning_rate": 4.772477246358781e-06, + "loss": 0.8015, + "step": 29069 + }, + { + "epoch": 0.68, + "grad_norm": 1.8070914322554037, + "learning_rate": 4.771826780795208e-06, + "loss": 0.914, + "step": 29070 + }, + { + "epoch": 0.68, + "grad_norm": 1.8679786060769041, + "learning_rate": 4.771176345671711e-06, + "loss": 0.9003, + "step": 29071 + }, + { + "epoch": 0.68, + "grad_norm": 1.5961207308435617, + "learning_rate": 4.770525940992081e-06, + "loss": 0.7871, + "step": 29072 + }, + { + "epoch": 0.68, + "grad_norm": 1.7063069420299701, + "learning_rate": 4.769875566760108e-06, + "loss": 0.7565, + "step": 29073 + }, + { + "epoch": 0.68, + "grad_norm": 1.75138826923353, + "learning_rate": 4.769225222979575e-06, + "loss": 0.7871, + "step": 29074 + }, + { + "epoch": 0.68, + "grad_norm": 1.6751124854578978, + "learning_rate": 4.768574909654267e-06, + "loss": 0.8277, + "step": 29075 + }, + { + "epoch": 0.69, + "grad_norm": 2.0103075531456827, + "learning_rate": 4.76792462678797e-06, + "loss": 0.9296, + "step": 29076 + }, + { + "epoch": 0.69, + "grad_norm": 1.4596383943946176, + "learning_rate": 4.767274374384476e-06, + "loss": 0.8488, + "step": 29077 + }, + { + "epoch": 0.69, + "grad_norm": 3.0687195979919974, + "learning_rate": 4.766624152447569e-06, + "loss": 0.7045, + "step": 29078 + }, + { + "epoch": 0.69, + "grad_norm": 2.228955838143697, + "learning_rate": 4.765973960981029e-06, + "loss": 0.7044, + "step": 29079 + }, + { + "epoch": 0.69, + "grad_norm": 1.6004041061303187, + "learning_rate": 4.765323799988648e-06, + "loss": 0.7418, + "step": 29080 + }, + { + "epoch": 0.69, + "grad_norm": 1.6787003899759427, + "learning_rate": 4.764673669474206e-06, + "loss": 0.8098, + "step": 29081 + }, + { + "epoch": 0.69, + "grad_norm": 0.7669390912561675, + "learning_rate": 4.764023569441495e-06, + "loss": 0.7364, + "step": 29082 + }, + { + "epoch": 0.69, + "grad_norm": 1.757756571177986, + "learning_rate": 4.763373499894293e-06, + "loss": 1.0008, + "step": 29083 + }, + { + "epoch": 0.69, + "grad_norm": 1.878990114264489, + "learning_rate": 4.762723460836392e-06, + "loss": 0.8123, + "step": 29084 + }, + { + "epoch": 0.69, + "grad_norm": 0.7256924942169515, + "learning_rate": 4.762073452271569e-06, + "loss": 0.6598, + "step": 29085 + }, + { + "epoch": 0.69, + "grad_norm": 1.8998548481655735, + "learning_rate": 4.761423474203617e-06, + "loss": 0.8683, + "step": 29086 + }, + { + "epoch": 0.69, + "grad_norm": 1.5251660967627283, + "learning_rate": 4.760773526636315e-06, + "loss": 0.7789, + "step": 29087 + }, + { + "epoch": 0.69, + "grad_norm": 1.7374516843103758, + "learning_rate": 4.760123609573446e-06, + "loss": 0.821, + "step": 29088 + }, + { + "epoch": 0.69, + "grad_norm": 1.7074126371407528, + "learning_rate": 4.759473723018796e-06, + "loss": 0.8141, + "step": 29089 + }, + { + "epoch": 0.69, + "grad_norm": 2.1002495425446193, + "learning_rate": 4.758823866976152e-06, + "loss": 0.8421, + "step": 29090 + }, + { + "epoch": 0.69, + "grad_norm": 1.5352310760067296, + "learning_rate": 4.758174041449295e-06, + "loss": 0.8156, + "step": 29091 + }, + { + "epoch": 0.69, + "grad_norm": 1.6131033662586436, + "learning_rate": 4.7575242464420045e-06, + "loss": 1.0017, + "step": 29092 + }, + { + "epoch": 0.69, + "grad_norm": 1.5002897957690546, + "learning_rate": 4.756874481958068e-06, + "loss": 0.895, + "step": 29093 + }, + { + "epoch": 0.69, + "grad_norm": 2.086831330170992, + "learning_rate": 4.756224748001272e-06, + "loss": 0.9379, + "step": 29094 + }, + { + "epoch": 0.69, + "grad_norm": 2.594409914074594, + "learning_rate": 4.755575044575396e-06, + "loss": 0.7782, + "step": 29095 + }, + { + "epoch": 0.69, + "grad_norm": 1.7862207978850326, + "learning_rate": 4.754925371684217e-06, + "loss": 0.7512, + "step": 29096 + }, + { + "epoch": 0.69, + "grad_norm": 2.296413166229243, + "learning_rate": 4.754275729331524e-06, + "loss": 0.6913, + "step": 29097 + }, + { + "epoch": 0.69, + "grad_norm": 1.802623222003761, + "learning_rate": 4.753626117521103e-06, + "loss": 0.9532, + "step": 29098 + }, + { + "epoch": 0.69, + "grad_norm": 1.527432274985477, + "learning_rate": 4.752976536256731e-06, + "loss": 0.7443, + "step": 29099 + }, + { + "epoch": 0.69, + "grad_norm": 1.5636056644044232, + "learning_rate": 4.752326985542187e-06, + "loss": 0.824, + "step": 29100 + }, + { + "epoch": 0.69, + "grad_norm": 1.565343048096619, + "learning_rate": 4.75167746538126e-06, + "loss": 0.9276, + "step": 29101 + }, + { + "epoch": 0.69, + "grad_norm": 2.4843709567212544, + "learning_rate": 4.751027975777726e-06, + "loss": 0.9601, + "step": 29102 + }, + { + "epoch": 0.69, + "grad_norm": 1.663946100265482, + "learning_rate": 4.750378516735372e-06, + "loss": 0.8698, + "step": 29103 + }, + { + "epoch": 0.69, + "grad_norm": 1.6015615414916053, + "learning_rate": 4.7497290882579724e-06, + "loss": 0.7409, + "step": 29104 + }, + { + "epoch": 0.69, + "grad_norm": 1.5547688661856685, + "learning_rate": 4.749079690349316e-06, + "loss": 0.7707, + "step": 29105 + }, + { + "epoch": 0.69, + "grad_norm": 1.5965638960475612, + "learning_rate": 4.748430323013176e-06, + "loss": 0.9398, + "step": 29106 + }, + { + "epoch": 0.69, + "grad_norm": 1.725935051418735, + "learning_rate": 4.747780986253337e-06, + "loss": 0.9224, + "step": 29107 + }, + { + "epoch": 0.69, + "grad_norm": 1.5154967170607965, + "learning_rate": 4.747131680073589e-06, + "loss": 0.8681, + "step": 29108 + }, + { + "epoch": 0.69, + "grad_norm": 1.4582145625012881, + "learning_rate": 4.746482404477695e-06, + "loss": 0.7526, + "step": 29109 + }, + { + "epoch": 0.69, + "grad_norm": 1.656591297053954, + "learning_rate": 4.745833159469443e-06, + "loss": 0.8407, + "step": 29110 + }, + { + "epoch": 0.69, + "grad_norm": 1.4958658266534788, + "learning_rate": 4.745183945052615e-06, + "loss": 0.7809, + "step": 29111 + }, + { + "epoch": 0.69, + "grad_norm": 1.6689120886484252, + "learning_rate": 4.744534761230996e-06, + "loss": 0.7335, + "step": 29112 + }, + { + "epoch": 0.69, + "grad_norm": 1.4618986035933075, + "learning_rate": 4.7438856080083525e-06, + "loss": 0.7879, + "step": 29113 + }, + { + "epoch": 0.69, + "grad_norm": 1.6799778769427707, + "learning_rate": 4.743236485388471e-06, + "loss": 0.7866, + "step": 29114 + }, + { + "epoch": 0.69, + "grad_norm": 2.1533143126691763, + "learning_rate": 4.742587393375131e-06, + "loss": 0.8876, + "step": 29115 + }, + { + "epoch": 0.69, + "grad_norm": 1.5832972606096751, + "learning_rate": 4.741938331972119e-06, + "loss": 0.7846, + "step": 29116 + }, + { + "epoch": 0.69, + "grad_norm": 1.6970741534151212, + "learning_rate": 4.7412893011831995e-06, + "loss": 0.8182, + "step": 29117 + }, + { + "epoch": 0.69, + "grad_norm": 1.3475991839527475, + "learning_rate": 4.7406403010121595e-06, + "loss": 0.7559, + "step": 29118 + }, + { + "epoch": 0.69, + "grad_norm": 1.5909675981625953, + "learning_rate": 4.7399913314627785e-06, + "loss": 0.9124, + "step": 29119 + }, + { + "epoch": 0.69, + "grad_norm": 1.985597699780658, + "learning_rate": 4.739342392538831e-06, + "loss": 0.9968, + "step": 29120 + }, + { + "epoch": 0.69, + "grad_norm": 1.5979815841311928, + "learning_rate": 4.738693484244101e-06, + "loss": 0.816, + "step": 29121 + }, + { + "epoch": 0.69, + "grad_norm": 1.6955765140273706, + "learning_rate": 4.738044606582359e-06, + "loss": 0.9669, + "step": 29122 + }, + { + "epoch": 0.69, + "grad_norm": 1.7041692829100006, + "learning_rate": 4.737395759557392e-06, + "loss": 0.87, + "step": 29123 + }, + { + "epoch": 0.69, + "grad_norm": 1.6340338624539392, + "learning_rate": 4.736746943172969e-06, + "loss": 0.821, + "step": 29124 + }, + { + "epoch": 0.69, + "grad_norm": 1.485332155888559, + "learning_rate": 4.736098157432874e-06, + "loss": 0.8676, + "step": 29125 + }, + { + "epoch": 0.69, + "grad_norm": 1.6223067977536645, + "learning_rate": 4.735449402340882e-06, + "loss": 0.9065, + "step": 29126 + }, + { + "epoch": 0.69, + "grad_norm": 1.3155967387779683, + "learning_rate": 4.7348006779007685e-06, + "loss": 0.658, + "step": 29127 + }, + { + "epoch": 0.69, + "grad_norm": 1.749981871080214, + "learning_rate": 4.734151984116311e-06, + "loss": 0.8495, + "step": 29128 + }, + { + "epoch": 0.69, + "grad_norm": 1.652124759190356, + "learning_rate": 4.733503320991292e-06, + "loss": 0.8183, + "step": 29129 + }, + { + "epoch": 0.69, + "grad_norm": 1.585846536886384, + "learning_rate": 4.732854688529484e-06, + "loss": 0.736, + "step": 29130 + }, + { + "epoch": 0.69, + "grad_norm": 1.415218362993543, + "learning_rate": 4.73220608673466e-06, + "loss": 0.7282, + "step": 29131 + }, + { + "epoch": 0.69, + "grad_norm": 1.6772727397123652, + "learning_rate": 4.7315575156106e-06, + "loss": 0.8057, + "step": 29132 + }, + { + "epoch": 0.69, + "grad_norm": 1.4584334324374475, + "learning_rate": 4.730908975161083e-06, + "loss": 0.8138, + "step": 29133 + }, + { + "epoch": 0.69, + "grad_norm": 2.354050455100984, + "learning_rate": 4.730260465389882e-06, + "loss": 0.8029, + "step": 29134 + }, + { + "epoch": 0.69, + "grad_norm": 0.7589247256560843, + "learning_rate": 4.729611986300771e-06, + "loss": 0.7714, + "step": 29135 + }, + { + "epoch": 0.69, + "grad_norm": 1.513880646713407, + "learning_rate": 4.728963537897526e-06, + "loss": 0.8859, + "step": 29136 + }, + { + "epoch": 0.69, + "grad_norm": 1.7648245341824564, + "learning_rate": 4.728315120183928e-06, + "loss": 0.7606, + "step": 29137 + }, + { + "epoch": 0.69, + "grad_norm": 1.7873609643256498, + "learning_rate": 4.727666733163748e-06, + "loss": 0.8558, + "step": 29138 + }, + { + "epoch": 0.69, + "grad_norm": 1.7122646175921685, + "learning_rate": 4.7270183768407585e-06, + "loss": 0.8829, + "step": 29139 + }, + { + "epoch": 0.69, + "grad_norm": 0.7423440818345933, + "learning_rate": 4.726370051218741e-06, + "loss": 0.7166, + "step": 29140 + }, + { + "epoch": 0.69, + "grad_norm": 1.5202004611129591, + "learning_rate": 4.725721756301463e-06, + "loss": 0.9334, + "step": 29141 + }, + { + "epoch": 0.69, + "grad_norm": 1.6630070692699412, + "learning_rate": 4.725073492092707e-06, + "loss": 0.9498, + "step": 29142 + }, + { + "epoch": 0.69, + "grad_norm": 1.6992211189575508, + "learning_rate": 4.724425258596238e-06, + "loss": 0.8372, + "step": 29143 + }, + { + "epoch": 0.69, + "grad_norm": 1.6966532193381494, + "learning_rate": 4.72377705581584e-06, + "loss": 0.8727, + "step": 29144 + }, + { + "epoch": 0.69, + "grad_norm": 1.5681870357175183, + "learning_rate": 4.723128883755279e-06, + "loss": 0.7439, + "step": 29145 + }, + { + "epoch": 0.69, + "grad_norm": 1.9011948011239974, + "learning_rate": 4.722480742418335e-06, + "loss": 0.8475, + "step": 29146 + }, + { + "epoch": 0.69, + "grad_norm": 1.938972980765102, + "learning_rate": 4.721832631808781e-06, + "loss": 0.8734, + "step": 29147 + }, + { + "epoch": 0.69, + "grad_norm": 1.5714005981690196, + "learning_rate": 4.721184551930382e-06, + "loss": 0.8911, + "step": 29148 + }, + { + "epoch": 0.69, + "grad_norm": 1.752525303600208, + "learning_rate": 4.720536502786919e-06, + "loss": 0.809, + "step": 29149 + }, + { + "epoch": 0.69, + "grad_norm": 1.964286793709146, + "learning_rate": 4.719888484382168e-06, + "loss": 0.8279, + "step": 29150 + }, + { + "epoch": 0.69, + "grad_norm": 1.599458351679643, + "learning_rate": 4.719240496719897e-06, + "loss": 0.822, + "step": 29151 + }, + { + "epoch": 0.69, + "grad_norm": 1.6091412438072177, + "learning_rate": 4.718592539803877e-06, + "loss": 0.7913, + "step": 29152 + }, + { + "epoch": 0.69, + "grad_norm": 1.6357919304849629, + "learning_rate": 4.717944613637883e-06, + "loss": 0.8131, + "step": 29153 + }, + { + "epoch": 0.69, + "grad_norm": 1.6595273849518102, + "learning_rate": 4.717296718225691e-06, + "loss": 0.8964, + "step": 29154 + }, + { + "epoch": 0.69, + "grad_norm": 1.4123349709476134, + "learning_rate": 4.7166488535710696e-06, + "loss": 0.8831, + "step": 29155 + }, + { + "epoch": 0.69, + "grad_norm": 1.6326125961361342, + "learning_rate": 4.716001019677788e-06, + "loss": 0.8586, + "step": 29156 + }, + { + "epoch": 0.69, + "grad_norm": 1.4784446234942548, + "learning_rate": 4.715353216549622e-06, + "loss": 0.8602, + "step": 29157 + }, + { + "epoch": 0.69, + "grad_norm": 0.8007935843230142, + "learning_rate": 4.714705444190346e-06, + "loss": 0.7242, + "step": 29158 + }, + { + "epoch": 0.69, + "grad_norm": 1.6381346523823892, + "learning_rate": 4.714057702603728e-06, + "loss": 0.9099, + "step": 29159 + }, + { + "epoch": 0.69, + "grad_norm": 1.6429796426765872, + "learning_rate": 4.713409991793536e-06, + "loss": 0.9083, + "step": 29160 + }, + { + "epoch": 0.69, + "grad_norm": 1.5893589140595392, + "learning_rate": 4.712762311763549e-06, + "loss": 0.8528, + "step": 29161 + }, + { + "epoch": 0.69, + "grad_norm": 1.5344028091925712, + "learning_rate": 4.71211466251753e-06, + "loss": 0.8146, + "step": 29162 + }, + { + "epoch": 0.69, + "grad_norm": 1.6089194284878081, + "learning_rate": 4.711467044059256e-06, + "loss": 0.8946, + "step": 29163 + }, + { + "epoch": 0.69, + "grad_norm": 1.6867977863063235, + "learning_rate": 4.710819456392492e-06, + "loss": 0.8036, + "step": 29164 + }, + { + "epoch": 0.69, + "grad_norm": 1.8923448113958676, + "learning_rate": 4.710171899521015e-06, + "loss": 0.7665, + "step": 29165 + }, + { + "epoch": 0.69, + "grad_norm": 1.9823372114300153, + "learning_rate": 4.709524373448589e-06, + "loss": 0.8935, + "step": 29166 + }, + { + "epoch": 0.69, + "grad_norm": 1.6874363102176084, + "learning_rate": 4.708876878178991e-06, + "loss": 0.9007, + "step": 29167 + }, + { + "epoch": 0.69, + "grad_norm": 2.306397280630328, + "learning_rate": 4.708229413715987e-06, + "loss": 0.8129, + "step": 29168 + }, + { + "epoch": 0.69, + "grad_norm": 2.6179856514045423, + "learning_rate": 4.707581980063342e-06, + "loss": 0.7849, + "step": 29169 + }, + { + "epoch": 0.69, + "grad_norm": 1.5384064272924445, + "learning_rate": 4.706934577224831e-06, + "loss": 0.9717, + "step": 29170 + }, + { + "epoch": 0.69, + "grad_norm": 0.8580417076256724, + "learning_rate": 4.706287205204225e-06, + "loss": 0.6995, + "step": 29171 + }, + { + "epoch": 0.69, + "grad_norm": 1.9044788889219662, + "learning_rate": 4.705639864005292e-06, + "loss": 0.9528, + "step": 29172 + }, + { + "epoch": 0.69, + "grad_norm": 1.4675451949570029, + "learning_rate": 4.704992553631796e-06, + "loss": 0.8388, + "step": 29173 + }, + { + "epoch": 0.69, + "grad_norm": 1.6449180109690182, + "learning_rate": 4.704345274087511e-06, + "loss": 0.9257, + "step": 29174 + }, + { + "epoch": 0.69, + "grad_norm": 1.6205563249719597, + "learning_rate": 4.703698025376207e-06, + "loss": 0.8013, + "step": 29175 + }, + { + "epoch": 0.69, + "grad_norm": 1.5024731345308673, + "learning_rate": 4.703050807501649e-06, + "loss": 0.7879, + "step": 29176 + }, + { + "epoch": 0.69, + "grad_norm": 1.6029697428960903, + "learning_rate": 4.702403620467604e-06, + "loss": 0.8207, + "step": 29177 + }, + { + "epoch": 0.69, + "grad_norm": 1.388156553628841, + "learning_rate": 4.701756464277841e-06, + "loss": 0.8767, + "step": 29178 + }, + { + "epoch": 0.69, + "grad_norm": 1.542689246427221, + "learning_rate": 4.701109338936134e-06, + "loss": 0.7229, + "step": 29179 + }, + { + "epoch": 0.69, + "grad_norm": 1.6171200469754083, + "learning_rate": 4.700462244446246e-06, + "loss": 0.8083, + "step": 29180 + }, + { + "epoch": 0.69, + "grad_norm": 1.5143783083350364, + "learning_rate": 4.699815180811939e-06, + "loss": 0.9122, + "step": 29181 + }, + { + "epoch": 0.69, + "grad_norm": 1.638594448779738, + "learning_rate": 4.699168148036992e-06, + "loss": 0.8846, + "step": 29182 + }, + { + "epoch": 0.69, + "grad_norm": 1.8154165178396346, + "learning_rate": 4.698521146125161e-06, + "loss": 0.7763, + "step": 29183 + }, + { + "epoch": 0.69, + "grad_norm": 1.5105555805138124, + "learning_rate": 4.697874175080224e-06, + "loss": 0.8184, + "step": 29184 + }, + { + "epoch": 0.69, + "grad_norm": 1.6767593892799066, + "learning_rate": 4.6972272349059365e-06, + "loss": 0.7863, + "step": 29185 + }, + { + "epoch": 0.69, + "grad_norm": 1.642689270152718, + "learning_rate": 4.696580325606075e-06, + "loss": 0.8736, + "step": 29186 + }, + { + "epoch": 0.69, + "grad_norm": 1.9007926280461496, + "learning_rate": 4.695933447184398e-06, + "loss": 0.7753, + "step": 29187 + }, + { + "epoch": 0.69, + "grad_norm": 1.5877017712620085, + "learning_rate": 4.695286599644681e-06, + "loss": 0.8442, + "step": 29188 + }, + { + "epoch": 0.69, + "grad_norm": 1.522168134807835, + "learning_rate": 4.694639782990683e-06, + "loss": 0.7876, + "step": 29189 + }, + { + "epoch": 0.69, + "grad_norm": 1.6496508869187023, + "learning_rate": 4.69399299722617e-06, + "loss": 0.901, + "step": 29190 + }, + { + "epoch": 0.69, + "grad_norm": 1.8987546808840035, + "learning_rate": 4.693346242354908e-06, + "loss": 0.8404, + "step": 29191 + }, + { + "epoch": 0.69, + "grad_norm": 1.6891192869185758, + "learning_rate": 4.692699518380664e-06, + "loss": 0.8975, + "step": 29192 + }, + { + "epoch": 0.69, + "grad_norm": 1.6124023428900989, + "learning_rate": 4.692052825307213e-06, + "loss": 0.8515, + "step": 29193 + }, + { + "epoch": 0.69, + "grad_norm": 1.9524367883355556, + "learning_rate": 4.691406163138302e-06, + "loss": 0.8628, + "step": 29194 + }, + { + "epoch": 0.69, + "grad_norm": 1.6442583214159132, + "learning_rate": 4.690759531877706e-06, + "loss": 0.7202, + "step": 29195 + }, + { + "epoch": 0.69, + "grad_norm": 1.6212093358024704, + "learning_rate": 4.690112931529191e-06, + "loss": 0.83, + "step": 29196 + }, + { + "epoch": 0.69, + "grad_norm": 1.5726601543244212, + "learning_rate": 4.689466362096521e-06, + "loss": 0.7593, + "step": 29197 + }, + { + "epoch": 0.69, + "grad_norm": 1.7846842839425463, + "learning_rate": 4.688819823583454e-06, + "loss": 0.7544, + "step": 29198 + }, + { + "epoch": 0.69, + "grad_norm": 1.7306781783277354, + "learning_rate": 4.688173315993761e-06, + "loss": 0.8854, + "step": 29199 + }, + { + "epoch": 0.69, + "grad_norm": 1.457982483739318, + "learning_rate": 4.687526839331208e-06, + "loss": 0.7356, + "step": 29200 + }, + { + "epoch": 0.69, + "grad_norm": 1.507422452035869, + "learning_rate": 4.686880393599556e-06, + "loss": 0.8135, + "step": 29201 + }, + { + "epoch": 0.69, + "grad_norm": 1.8512531031887174, + "learning_rate": 4.686233978802563e-06, + "loss": 0.9115, + "step": 29202 + }, + { + "epoch": 0.69, + "grad_norm": 1.7771246091018622, + "learning_rate": 4.685587594944003e-06, + "loss": 0.8876, + "step": 29203 + }, + { + "epoch": 0.69, + "grad_norm": 1.537893921166631, + "learning_rate": 4.684941242027631e-06, + "loss": 0.8308, + "step": 29204 + }, + { + "epoch": 0.69, + "grad_norm": 1.8227052076306924, + "learning_rate": 4.684294920057214e-06, + "loss": 0.8938, + "step": 29205 + }, + { + "epoch": 0.69, + "grad_norm": 1.6710740251252556, + "learning_rate": 4.683648629036518e-06, + "loss": 0.8487, + "step": 29206 + }, + { + "epoch": 0.69, + "grad_norm": 1.7130517303416517, + "learning_rate": 4.683002368969303e-06, + "loss": 0.9459, + "step": 29207 + }, + { + "epoch": 0.69, + "grad_norm": 1.5154854029879876, + "learning_rate": 4.682356139859327e-06, + "loss": 0.7537, + "step": 29208 + }, + { + "epoch": 0.69, + "grad_norm": 1.503669105467212, + "learning_rate": 4.681709941710358e-06, + "loss": 0.8794, + "step": 29209 + }, + { + "epoch": 0.69, + "grad_norm": 1.60479581080767, + "learning_rate": 4.681063774526166e-06, + "loss": 0.7656, + "step": 29210 + }, + { + "epoch": 0.69, + "grad_norm": 1.556345947454919, + "learning_rate": 4.680417638310496e-06, + "loss": 0.939, + "step": 29211 + }, + { + "epoch": 0.69, + "grad_norm": 1.5857956775276154, + "learning_rate": 4.679771533067119e-06, + "loss": 0.9223, + "step": 29212 + }, + { + "epoch": 0.69, + "grad_norm": 1.8282957383197433, + "learning_rate": 4.679125458799796e-06, + "loss": 0.881, + "step": 29213 + }, + { + "epoch": 0.69, + "grad_norm": 1.5696538546847878, + "learning_rate": 4.678479415512297e-06, + "loss": 0.9022, + "step": 29214 + }, + { + "epoch": 0.69, + "grad_norm": 1.641392231540471, + "learning_rate": 4.677833403208367e-06, + "loss": 0.9406, + "step": 29215 + }, + { + "epoch": 0.69, + "grad_norm": 3.979604806096339, + "learning_rate": 4.6771874218917765e-06, + "loss": 0.7765, + "step": 29216 + }, + { + "epoch": 0.69, + "grad_norm": 1.5612170087320965, + "learning_rate": 4.676541471566291e-06, + "loss": 0.8765, + "step": 29217 + }, + { + "epoch": 0.69, + "grad_norm": 0.8095393879735152, + "learning_rate": 4.675895552235662e-06, + "loss": 0.655, + "step": 29218 + }, + { + "epoch": 0.69, + "grad_norm": 0.7673420763787613, + "learning_rate": 4.675249663903658e-06, + "loss": 0.7088, + "step": 29219 + }, + { + "epoch": 0.69, + "grad_norm": 1.6925848842749613, + "learning_rate": 4.674603806574033e-06, + "loss": 0.8786, + "step": 29220 + }, + { + "epoch": 0.69, + "grad_norm": 0.7443335839628531, + "learning_rate": 4.673957980250553e-06, + "loss": 0.6425, + "step": 29221 + }, + { + "epoch": 0.69, + "grad_norm": 2.2534472686401217, + "learning_rate": 4.673312184936973e-06, + "loss": 0.8084, + "step": 29222 + }, + { + "epoch": 0.69, + "grad_norm": 1.4166988833344465, + "learning_rate": 4.672666420637061e-06, + "loss": 0.8465, + "step": 29223 + }, + { + "epoch": 0.69, + "grad_norm": 1.8702180180682781, + "learning_rate": 4.67202068735457e-06, + "loss": 0.8485, + "step": 29224 + }, + { + "epoch": 0.69, + "grad_norm": 1.5098323317262141, + "learning_rate": 4.6713749850932576e-06, + "loss": 0.7458, + "step": 29225 + }, + { + "epoch": 0.69, + "grad_norm": 1.573676101569243, + "learning_rate": 4.670729313856887e-06, + "loss": 0.7681, + "step": 29226 + }, + { + "epoch": 0.69, + "grad_norm": 1.542032200571671, + "learning_rate": 4.670083673649223e-06, + "loss": 0.845, + "step": 29227 + }, + { + "epoch": 0.69, + "grad_norm": 1.543057763347849, + "learning_rate": 4.669438064474018e-06, + "loss": 0.7605, + "step": 29228 + }, + { + "epoch": 0.69, + "grad_norm": 2.5605011152278423, + "learning_rate": 4.668792486335029e-06, + "loss": 0.7392, + "step": 29229 + }, + { + "epoch": 0.69, + "grad_norm": 1.4709396501992977, + "learning_rate": 4.668146939236017e-06, + "loss": 0.7456, + "step": 29230 + }, + { + "epoch": 0.69, + "grad_norm": 0.7342430176704051, + "learning_rate": 4.667501423180746e-06, + "loss": 0.6738, + "step": 29231 + }, + { + "epoch": 0.69, + "grad_norm": 0.8157267103954442, + "learning_rate": 4.666855938172969e-06, + "loss": 0.7223, + "step": 29232 + }, + { + "epoch": 0.69, + "grad_norm": 1.636428681835598, + "learning_rate": 4.666210484216444e-06, + "loss": 0.7048, + "step": 29233 + }, + { + "epoch": 0.69, + "grad_norm": 1.493650471180936, + "learning_rate": 4.665565061314927e-06, + "loss": 0.8564, + "step": 29234 + }, + { + "epoch": 0.69, + "grad_norm": 1.6303462379059783, + "learning_rate": 4.6649196694721845e-06, + "loss": 0.9466, + "step": 29235 + }, + { + "epoch": 0.69, + "grad_norm": 1.4965641352227586, + "learning_rate": 4.664274308691968e-06, + "loss": 0.8346, + "step": 29236 + }, + { + "epoch": 0.69, + "grad_norm": 1.9095638120278358, + "learning_rate": 4.663628978978033e-06, + "loss": 0.8625, + "step": 29237 + }, + { + "epoch": 0.69, + "grad_norm": 0.7633219464327131, + "learning_rate": 4.662983680334144e-06, + "loss": 0.6925, + "step": 29238 + }, + { + "epoch": 0.69, + "grad_norm": 1.6639737636327194, + "learning_rate": 4.662338412764048e-06, + "loss": 0.7973, + "step": 29239 + }, + { + "epoch": 0.69, + "grad_norm": 1.7853544467117233, + "learning_rate": 4.661693176271513e-06, + "loss": 0.9544, + "step": 29240 + }, + { + "epoch": 0.69, + "grad_norm": 1.6288618586572507, + "learning_rate": 4.661047970860285e-06, + "loss": 0.8038, + "step": 29241 + }, + { + "epoch": 0.69, + "grad_norm": 1.5949097245008954, + "learning_rate": 4.66040279653413e-06, + "loss": 0.8119, + "step": 29242 + }, + { + "epoch": 0.69, + "grad_norm": 1.7727490665622896, + "learning_rate": 4.659757653296797e-06, + "loss": 0.7641, + "step": 29243 + }, + { + "epoch": 0.69, + "grad_norm": 1.8453042493871386, + "learning_rate": 4.65911254115205e-06, + "loss": 0.7677, + "step": 29244 + }, + { + "epoch": 0.69, + "grad_norm": 1.708830737496752, + "learning_rate": 4.658467460103636e-06, + "loss": 0.7738, + "step": 29245 + }, + { + "epoch": 0.69, + "grad_norm": 1.5934233295434417, + "learning_rate": 4.657822410155321e-06, + "loss": 0.8795, + "step": 29246 + }, + { + "epoch": 0.69, + "grad_norm": 1.693329406866891, + "learning_rate": 4.65717739131085e-06, + "loss": 0.848, + "step": 29247 + }, + { + "epoch": 0.69, + "grad_norm": 1.5086634732378286, + "learning_rate": 4.656532403573987e-06, + "loss": 0.9034, + "step": 29248 + }, + { + "epoch": 0.69, + "grad_norm": 1.8477135078958107, + "learning_rate": 4.655887446948485e-06, + "loss": 0.7873, + "step": 29249 + }, + { + "epoch": 0.69, + "grad_norm": 1.4801646988390849, + "learning_rate": 4.655242521438095e-06, + "loss": 0.9073, + "step": 29250 + }, + { + "epoch": 0.69, + "grad_norm": 1.6879028772372038, + "learning_rate": 4.654597627046574e-06, + "loss": 0.8464, + "step": 29251 + }, + { + "epoch": 0.69, + "grad_norm": 1.5689092703630663, + "learning_rate": 4.653952763777682e-06, + "loss": 0.9868, + "step": 29252 + }, + { + "epoch": 0.69, + "grad_norm": 1.4711652945943272, + "learning_rate": 4.653307931635169e-06, + "loss": 0.7716, + "step": 29253 + }, + { + "epoch": 0.69, + "grad_norm": 0.8270894382504672, + "learning_rate": 4.652663130622788e-06, + "loss": 0.6542, + "step": 29254 + }, + { + "epoch": 0.69, + "grad_norm": 0.7760580790866721, + "learning_rate": 4.652018360744294e-06, + "loss": 0.7746, + "step": 29255 + }, + { + "epoch": 0.69, + "grad_norm": 1.9829274810033244, + "learning_rate": 4.651373622003445e-06, + "loss": 0.7711, + "step": 29256 + }, + { + "epoch": 0.69, + "grad_norm": 1.498007963249774, + "learning_rate": 4.650728914403994e-06, + "loss": 0.703, + "step": 29257 + }, + { + "epoch": 0.69, + "grad_norm": 2.0815577543406016, + "learning_rate": 4.650084237949688e-06, + "loss": 0.7637, + "step": 29258 + }, + { + "epoch": 0.69, + "grad_norm": 1.6304654889943504, + "learning_rate": 4.649439592644286e-06, + "loss": 0.6797, + "step": 29259 + }, + { + "epoch": 0.69, + "grad_norm": 1.4384109044823208, + "learning_rate": 4.648794978491543e-06, + "loss": 0.7949, + "step": 29260 + }, + { + "epoch": 0.69, + "grad_norm": 1.919443539860783, + "learning_rate": 4.6481503954952114e-06, + "loss": 0.9358, + "step": 29261 + }, + { + "epoch": 0.69, + "grad_norm": 1.4230133958413227, + "learning_rate": 4.647505843659038e-06, + "loss": 0.8741, + "step": 29262 + }, + { + "epoch": 0.69, + "grad_norm": 1.9341218996200382, + "learning_rate": 4.6468613229867845e-06, + "loss": 0.773, + "step": 29263 + }, + { + "epoch": 0.69, + "grad_norm": 1.7436188240022086, + "learning_rate": 4.646216833482195e-06, + "loss": 0.757, + "step": 29264 + }, + { + "epoch": 0.69, + "grad_norm": 1.697026570235951, + "learning_rate": 4.645572375149029e-06, + "loss": 0.8012, + "step": 29265 + }, + { + "epoch": 0.69, + "grad_norm": 1.429009725139868, + "learning_rate": 4.644927947991034e-06, + "loss": 0.8401, + "step": 29266 + }, + { + "epoch": 0.69, + "grad_norm": 1.8081503298877082, + "learning_rate": 4.644283552011965e-06, + "loss": 0.7953, + "step": 29267 + }, + { + "epoch": 0.69, + "grad_norm": 1.8263107545656743, + "learning_rate": 4.6436391872155714e-06, + "loss": 0.8507, + "step": 29268 + }, + { + "epoch": 0.69, + "grad_norm": 2.977593204861344, + "learning_rate": 4.642994853605609e-06, + "loss": 0.8819, + "step": 29269 + }, + { + "epoch": 0.69, + "grad_norm": 1.684666991517555, + "learning_rate": 4.642350551185827e-06, + "loss": 0.838, + "step": 29270 + }, + { + "epoch": 0.69, + "grad_norm": 1.620059360046396, + "learning_rate": 4.6417062799599725e-06, + "loss": 0.8434, + "step": 29271 + }, + { + "epoch": 0.69, + "grad_norm": 1.6952792165048711, + "learning_rate": 4.641062039931799e-06, + "loss": 0.7707, + "step": 29272 + }, + { + "epoch": 0.69, + "grad_norm": 3.876343741557211, + "learning_rate": 4.640417831105064e-06, + "loss": 0.8373, + "step": 29273 + }, + { + "epoch": 0.69, + "grad_norm": 1.692194021936056, + "learning_rate": 4.6397736534835136e-06, + "loss": 0.7437, + "step": 29274 + }, + { + "epoch": 0.69, + "grad_norm": 1.7554932561738685, + "learning_rate": 4.639129507070893e-06, + "loss": 0.7892, + "step": 29275 + }, + { + "epoch": 0.69, + "grad_norm": 1.6383177386284384, + "learning_rate": 4.638485391870958e-06, + "loss": 0.781, + "step": 29276 + }, + { + "epoch": 0.69, + "grad_norm": 1.6733661252612158, + "learning_rate": 4.637841307887463e-06, + "loss": 0.7869, + "step": 29277 + }, + { + "epoch": 0.69, + "grad_norm": 1.7868526384089756, + "learning_rate": 4.637197255124153e-06, + "loss": 0.913, + "step": 29278 + }, + { + "epoch": 0.69, + "grad_norm": 1.5770755097340055, + "learning_rate": 4.636553233584775e-06, + "loss": 0.87, + "step": 29279 + }, + { + "epoch": 0.69, + "grad_norm": 1.5363228853714916, + "learning_rate": 4.635909243273082e-06, + "loss": 0.8488, + "step": 29280 + }, + { + "epoch": 0.69, + "grad_norm": 2.0055759071858152, + "learning_rate": 4.635265284192827e-06, + "loss": 0.7848, + "step": 29281 + }, + { + "epoch": 0.69, + "grad_norm": 0.7353417864223436, + "learning_rate": 4.634621356347756e-06, + "loss": 0.7355, + "step": 29282 + }, + { + "epoch": 0.69, + "grad_norm": 2.011165953638918, + "learning_rate": 4.633977459741614e-06, + "loss": 0.926, + "step": 29283 + }, + { + "epoch": 0.69, + "grad_norm": 1.8315809074841478, + "learning_rate": 4.6333335943781586e-06, + "loss": 0.7596, + "step": 29284 + }, + { + "epoch": 0.69, + "grad_norm": 1.6146968776412354, + "learning_rate": 4.632689760261131e-06, + "loss": 0.8368, + "step": 29285 + }, + { + "epoch": 0.69, + "grad_norm": 1.7123404152738164, + "learning_rate": 4.632045957394286e-06, + "loss": 0.7962, + "step": 29286 + }, + { + "epoch": 0.69, + "grad_norm": 1.6675509834634459, + "learning_rate": 4.631402185781364e-06, + "loss": 0.8873, + "step": 29287 + }, + { + "epoch": 0.69, + "grad_norm": 1.5918150272168115, + "learning_rate": 4.630758445426123e-06, + "loss": 0.8982, + "step": 29288 + }, + { + "epoch": 0.69, + "grad_norm": 1.515068717947907, + "learning_rate": 4.630114736332302e-06, + "loss": 0.8243, + "step": 29289 + }, + { + "epoch": 0.69, + "grad_norm": 1.515931005950349, + "learning_rate": 4.6294710585036536e-06, + "loss": 0.9333, + "step": 29290 + }, + { + "epoch": 0.69, + "grad_norm": 1.623740808612666, + "learning_rate": 4.628827411943933e-06, + "loss": 0.7909, + "step": 29291 + }, + { + "epoch": 0.69, + "grad_norm": 1.4124862899659858, + "learning_rate": 4.628183796656871e-06, + "loss": 0.8362, + "step": 29292 + }, + { + "epoch": 0.69, + "grad_norm": 1.686103650814489, + "learning_rate": 4.627540212646223e-06, + "loss": 0.8351, + "step": 29293 + }, + { + "epoch": 0.69, + "grad_norm": 1.6947747103677289, + "learning_rate": 4.626896659915739e-06, + "loss": 0.7877, + "step": 29294 + }, + { + "epoch": 0.69, + "grad_norm": 1.6702961017693976, + "learning_rate": 4.626253138469169e-06, + "loss": 0.8921, + "step": 29295 + }, + { + "epoch": 0.69, + "grad_norm": 1.8808726212036568, + "learning_rate": 4.625609648310248e-06, + "loss": 0.7764, + "step": 29296 + }, + { + "epoch": 0.69, + "grad_norm": 1.5660587977291578, + "learning_rate": 4.62496618944273e-06, + "loss": 0.8631, + "step": 29297 + }, + { + "epoch": 0.69, + "grad_norm": 1.7510595931590704, + "learning_rate": 4.624322761870363e-06, + "loss": 0.8859, + "step": 29298 + }, + { + "epoch": 0.69, + "grad_norm": 1.6125108006171318, + "learning_rate": 4.623679365596891e-06, + "loss": 0.9155, + "step": 29299 + }, + { + "epoch": 0.69, + "grad_norm": 1.577970595152831, + "learning_rate": 4.623036000626056e-06, + "loss": 0.8048, + "step": 29300 + }, + { + "epoch": 0.69, + "grad_norm": 1.4314580288785557, + "learning_rate": 4.62239266696161e-06, + "loss": 0.7927, + "step": 29301 + }, + { + "epoch": 0.69, + "grad_norm": 1.4653060343572433, + "learning_rate": 4.621749364607297e-06, + "loss": 0.847, + "step": 29302 + }, + { + "epoch": 0.69, + "grad_norm": 1.577562439726002, + "learning_rate": 4.6211060935668595e-06, + "loss": 0.8453, + "step": 29303 + }, + { + "epoch": 0.69, + "grad_norm": 1.5581196793029521, + "learning_rate": 4.620462853844049e-06, + "loss": 0.8602, + "step": 29304 + }, + { + "epoch": 0.69, + "grad_norm": 1.6436028328627803, + "learning_rate": 4.619819645442607e-06, + "loss": 0.7489, + "step": 29305 + }, + { + "epoch": 0.69, + "grad_norm": 0.7780771821796189, + "learning_rate": 4.619176468366274e-06, + "loss": 0.7666, + "step": 29306 + }, + { + "epoch": 0.69, + "grad_norm": 0.8170978731778379, + "learning_rate": 4.6185333226188e-06, + "loss": 0.748, + "step": 29307 + }, + { + "epoch": 0.69, + "grad_norm": 1.6401549989259945, + "learning_rate": 4.617890208203932e-06, + "loss": 0.9041, + "step": 29308 + }, + { + "epoch": 0.69, + "grad_norm": 1.767905929963206, + "learning_rate": 4.617247125125411e-06, + "loss": 0.9071, + "step": 29309 + }, + { + "epoch": 0.69, + "grad_norm": 1.4390709443985554, + "learning_rate": 4.616604073386978e-06, + "loss": 0.8005, + "step": 29310 + }, + { + "epoch": 0.69, + "grad_norm": 2.007130891235362, + "learning_rate": 4.6159610529923805e-06, + "loss": 0.8127, + "step": 29311 + }, + { + "epoch": 0.69, + "grad_norm": 1.783057529684441, + "learning_rate": 4.61531806394537e-06, + "loss": 0.7449, + "step": 29312 + }, + { + "epoch": 0.69, + "grad_norm": 1.6282268818295276, + "learning_rate": 4.614675106249674e-06, + "loss": 0.8159, + "step": 29313 + }, + { + "epoch": 0.69, + "grad_norm": 1.515026102705857, + "learning_rate": 4.614032179909045e-06, + "loss": 0.782, + "step": 29314 + }, + { + "epoch": 0.69, + "grad_norm": 1.533209406652308, + "learning_rate": 4.613389284927225e-06, + "loss": 0.7545, + "step": 29315 + }, + { + "epoch": 0.69, + "grad_norm": 1.563383168204524, + "learning_rate": 4.612746421307963e-06, + "loss": 0.8245, + "step": 29316 + }, + { + "epoch": 0.69, + "grad_norm": 1.5494574143540125, + "learning_rate": 4.612103589054997e-06, + "loss": 0.7425, + "step": 29317 + }, + { + "epoch": 0.69, + "grad_norm": 0.785176475471089, + "learning_rate": 4.611460788172065e-06, + "loss": 0.6841, + "step": 29318 + }, + { + "epoch": 0.69, + "grad_norm": 1.417303631948019, + "learning_rate": 4.610818018662919e-06, + "loss": 0.7772, + "step": 29319 + }, + { + "epoch": 0.69, + "grad_norm": 2.2046468044074485, + "learning_rate": 4.6101752805312926e-06, + "loss": 0.8326, + "step": 29320 + }, + { + "epoch": 0.69, + "grad_norm": 1.6493601648339793, + "learning_rate": 4.609532573780936e-06, + "loss": 0.8409, + "step": 29321 + }, + { + "epoch": 0.69, + "grad_norm": 1.520145383803483, + "learning_rate": 4.608889898415583e-06, + "loss": 0.9209, + "step": 29322 + }, + { + "epoch": 0.69, + "grad_norm": 1.6902891927735533, + "learning_rate": 4.608247254438983e-06, + "loss": 0.7721, + "step": 29323 + }, + { + "epoch": 0.69, + "grad_norm": 1.5225767595813906, + "learning_rate": 4.607604641854872e-06, + "loss": 0.7864, + "step": 29324 + }, + { + "epoch": 0.69, + "grad_norm": 0.792633739116153, + "learning_rate": 4.606962060666997e-06, + "loss": 0.702, + "step": 29325 + }, + { + "epoch": 0.69, + "grad_norm": 1.6162605649878956, + "learning_rate": 4.606319510879097e-06, + "loss": 0.8459, + "step": 29326 + }, + { + "epoch": 0.69, + "grad_norm": 0.7956143177788668, + "learning_rate": 4.605676992494909e-06, + "loss": 0.6792, + "step": 29327 + }, + { + "epoch": 0.69, + "grad_norm": 1.4978449158958467, + "learning_rate": 4.605034505518176e-06, + "loss": 1.0047, + "step": 29328 + }, + { + "epoch": 0.69, + "grad_norm": 1.5329271750993287, + "learning_rate": 4.604392049952645e-06, + "loss": 0.8308, + "step": 29329 + }, + { + "epoch": 0.69, + "grad_norm": 1.5785199285269238, + "learning_rate": 4.603749625802051e-06, + "loss": 0.8751, + "step": 29330 + }, + { + "epoch": 0.69, + "grad_norm": 0.793827447589726, + "learning_rate": 4.603107233070131e-06, + "loss": 0.7258, + "step": 29331 + }, + { + "epoch": 0.69, + "grad_norm": 3.457924833237359, + "learning_rate": 4.60246487176063e-06, + "loss": 1.0186, + "step": 29332 + }, + { + "epoch": 0.69, + "grad_norm": 0.7301910799064575, + "learning_rate": 4.601822541877291e-06, + "loss": 0.7347, + "step": 29333 + }, + { + "epoch": 0.69, + "grad_norm": 7.837090522712079, + "learning_rate": 4.601180243423851e-06, + "loss": 0.9182, + "step": 29334 + }, + { + "epoch": 0.69, + "grad_norm": 1.4297249835831782, + "learning_rate": 4.600537976404044e-06, + "loss": 0.8103, + "step": 29335 + }, + { + "epoch": 0.69, + "grad_norm": 0.711346043684955, + "learning_rate": 4.5998957408216135e-06, + "loss": 0.698, + "step": 29336 + }, + { + "epoch": 0.69, + "grad_norm": 1.8400714810934014, + "learning_rate": 4.599253536680305e-06, + "loss": 0.795, + "step": 29337 + }, + { + "epoch": 0.69, + "grad_norm": 1.4556536286659396, + "learning_rate": 4.598611363983853e-06, + "loss": 0.8789, + "step": 29338 + }, + { + "epoch": 0.69, + "grad_norm": 1.657573578321879, + "learning_rate": 4.59796922273599e-06, + "loss": 0.9073, + "step": 29339 + }, + { + "epoch": 0.69, + "grad_norm": 1.4949788691660262, + "learning_rate": 4.597327112940465e-06, + "loss": 0.7789, + "step": 29340 + }, + { + "epoch": 0.69, + "grad_norm": 1.5389965570157125, + "learning_rate": 4.596685034601008e-06, + "loss": 0.8829, + "step": 29341 + }, + { + "epoch": 0.69, + "grad_norm": 1.4459852077569395, + "learning_rate": 4.596042987721365e-06, + "loss": 0.9726, + "step": 29342 + }, + { + "epoch": 0.69, + "grad_norm": 1.7759739176420464, + "learning_rate": 4.595400972305267e-06, + "loss": 0.8617, + "step": 29343 + }, + { + "epoch": 0.69, + "grad_norm": 1.5342883135937782, + "learning_rate": 4.594758988356459e-06, + "loss": 0.8646, + "step": 29344 + }, + { + "epoch": 0.69, + "grad_norm": 1.7585779543711786, + "learning_rate": 4.594117035878672e-06, + "loss": 0.8577, + "step": 29345 + }, + { + "epoch": 0.69, + "grad_norm": 1.7646064180341328, + "learning_rate": 4.593475114875652e-06, + "loss": 0.8897, + "step": 29346 + }, + { + "epoch": 0.69, + "grad_norm": 1.7027416528182302, + "learning_rate": 4.592833225351131e-06, + "loss": 0.899, + "step": 29347 + }, + { + "epoch": 0.69, + "grad_norm": 1.551537368925093, + "learning_rate": 4.592191367308842e-06, + "loss": 0.9462, + "step": 29348 + }, + { + "epoch": 0.69, + "grad_norm": 2.3336862862290926, + "learning_rate": 4.5915495407525275e-06, + "loss": 0.9611, + "step": 29349 + }, + { + "epoch": 0.69, + "grad_norm": 1.659509877953551, + "learning_rate": 4.590907745685927e-06, + "loss": 0.9186, + "step": 29350 + }, + { + "epoch": 0.69, + "grad_norm": 1.8131014141905732, + "learning_rate": 4.590265982112776e-06, + "loss": 0.851, + "step": 29351 + }, + { + "epoch": 0.69, + "grad_norm": 2.0348576056716188, + "learning_rate": 4.589624250036804e-06, + "loss": 0.8602, + "step": 29352 + }, + { + "epoch": 0.69, + "grad_norm": 1.4340752762236657, + "learning_rate": 4.588982549461752e-06, + "loss": 0.7348, + "step": 29353 + }, + { + "epoch": 0.69, + "grad_norm": 1.7575634432889633, + "learning_rate": 4.588340880391362e-06, + "loss": 0.8728, + "step": 29354 + }, + { + "epoch": 0.69, + "grad_norm": 0.799792146664475, + "learning_rate": 4.587699242829364e-06, + "loss": 0.7933, + "step": 29355 + }, + { + "epoch": 0.69, + "grad_norm": 1.885003468566335, + "learning_rate": 4.58705763677949e-06, + "loss": 0.9164, + "step": 29356 + }, + { + "epoch": 0.69, + "grad_norm": 1.7060452483943163, + "learning_rate": 4.586416062245481e-06, + "loss": 0.9646, + "step": 29357 + }, + { + "epoch": 0.69, + "grad_norm": 1.485760807514701, + "learning_rate": 4.5857745192310755e-06, + "loss": 0.7561, + "step": 29358 + }, + { + "epoch": 0.69, + "grad_norm": 1.4840880856262149, + "learning_rate": 4.585133007740005e-06, + "loss": 0.9057, + "step": 29359 + }, + { + "epoch": 0.69, + "grad_norm": 1.6670153674874213, + "learning_rate": 4.584491527775999e-06, + "loss": 0.8196, + "step": 29360 + }, + { + "epoch": 0.69, + "grad_norm": 1.918551257492645, + "learning_rate": 4.583850079342803e-06, + "loss": 0.7999, + "step": 29361 + }, + { + "epoch": 0.69, + "grad_norm": 1.4991820968621465, + "learning_rate": 4.583208662444143e-06, + "loss": 0.8099, + "step": 29362 + }, + { + "epoch": 0.69, + "grad_norm": 1.6999499574566794, + "learning_rate": 4.58256727708376e-06, + "loss": 0.9248, + "step": 29363 + }, + { + "epoch": 0.69, + "grad_norm": 1.6725547639834473, + "learning_rate": 4.5819259232653824e-06, + "loss": 0.8458, + "step": 29364 + }, + { + "epoch": 0.69, + "grad_norm": 1.882933255648038, + "learning_rate": 4.581284600992751e-06, + "loss": 0.7142, + "step": 29365 + }, + { + "epoch": 0.69, + "grad_norm": 1.6602040498527884, + "learning_rate": 4.580643310269592e-06, + "loss": 0.9163, + "step": 29366 + }, + { + "epoch": 0.69, + "grad_norm": 1.7863399181440953, + "learning_rate": 4.580002051099648e-06, + "loss": 0.7792, + "step": 29367 + }, + { + "epoch": 0.69, + "grad_norm": 1.5160102399572775, + "learning_rate": 4.579360823486644e-06, + "loss": 0.8475, + "step": 29368 + }, + { + "epoch": 0.69, + "grad_norm": 1.8400788179801264, + "learning_rate": 4.57871962743432e-06, + "loss": 0.8957, + "step": 29369 + }, + { + "epoch": 0.69, + "grad_norm": 1.4713664850995638, + "learning_rate": 4.578078462946404e-06, + "loss": 0.7701, + "step": 29370 + }, + { + "epoch": 0.69, + "grad_norm": 1.6133971502436186, + "learning_rate": 4.577437330026635e-06, + "loss": 0.7898, + "step": 29371 + }, + { + "epoch": 0.69, + "grad_norm": 1.7455815560697054, + "learning_rate": 4.576796228678744e-06, + "loss": 0.6557, + "step": 29372 + }, + { + "epoch": 0.69, + "grad_norm": 1.590256244105654, + "learning_rate": 4.576155158906457e-06, + "loss": 1.0042, + "step": 29373 + }, + { + "epoch": 0.69, + "grad_norm": 1.9078260370400026, + "learning_rate": 4.575514120713513e-06, + "loss": 0.7512, + "step": 29374 + }, + { + "epoch": 0.69, + "grad_norm": 0.7810941814960158, + "learning_rate": 4.574873114103645e-06, + "loss": 0.6929, + "step": 29375 + }, + { + "epoch": 0.69, + "grad_norm": 1.8288050419539248, + "learning_rate": 4.574232139080586e-06, + "loss": 0.9136, + "step": 29376 + }, + { + "epoch": 0.69, + "grad_norm": 1.5391873461875056, + "learning_rate": 4.573591195648059e-06, + "loss": 0.7764, + "step": 29377 + }, + { + "epoch": 0.69, + "grad_norm": 0.759363483233666, + "learning_rate": 4.572950283809803e-06, + "loss": 0.7225, + "step": 29378 + }, + { + "epoch": 0.69, + "grad_norm": 1.6482663084601448, + "learning_rate": 4.572309403569552e-06, + "loss": 0.7983, + "step": 29379 + }, + { + "epoch": 0.69, + "grad_norm": 1.5863747233171392, + "learning_rate": 4.571668554931035e-06, + "loss": 0.7685, + "step": 29380 + }, + { + "epoch": 0.69, + "grad_norm": 1.660503038148919, + "learning_rate": 4.571027737897979e-06, + "loss": 0.8143, + "step": 29381 + }, + { + "epoch": 0.69, + "grad_norm": 1.8101157262237633, + "learning_rate": 4.570386952474116e-06, + "loss": 0.8843, + "step": 29382 + }, + { + "epoch": 0.69, + "grad_norm": 0.7828768344753596, + "learning_rate": 4.569746198663184e-06, + "loss": 0.7664, + "step": 29383 + }, + { + "epoch": 0.69, + "grad_norm": 1.8552253117511692, + "learning_rate": 4.569105476468909e-06, + "loss": 0.7871, + "step": 29384 + }, + { + "epoch": 0.69, + "grad_norm": 1.9013600298779136, + "learning_rate": 4.568464785895018e-06, + "loss": 0.8044, + "step": 29385 + }, + { + "epoch": 0.69, + "grad_norm": 1.7521769996628194, + "learning_rate": 4.567824126945248e-06, + "loss": 0.8058, + "step": 29386 + }, + { + "epoch": 0.69, + "grad_norm": 1.8491563191614508, + "learning_rate": 4.567183499623322e-06, + "loss": 0.7878, + "step": 29387 + }, + { + "epoch": 0.69, + "grad_norm": 1.7303516144320514, + "learning_rate": 4.5665429039329735e-06, + "loss": 0.8084, + "step": 29388 + }, + { + "epoch": 0.69, + "grad_norm": 1.6917223216739297, + "learning_rate": 4.565902339877936e-06, + "loss": 0.7338, + "step": 29389 + }, + { + "epoch": 0.69, + "grad_norm": 1.834657181490171, + "learning_rate": 4.5652618074619355e-06, + "loss": 0.7656, + "step": 29390 + }, + { + "epoch": 0.69, + "grad_norm": 1.507727839744958, + "learning_rate": 4.564621306688698e-06, + "loss": 0.9383, + "step": 29391 + }, + { + "epoch": 0.69, + "grad_norm": 1.8708879115514645, + "learning_rate": 4.563980837561955e-06, + "loss": 0.8253, + "step": 29392 + }, + { + "epoch": 0.69, + "grad_norm": 1.6661688985955403, + "learning_rate": 4.563340400085445e-06, + "loss": 0.8159, + "step": 29393 + }, + { + "epoch": 0.69, + "grad_norm": 1.8657139429072638, + "learning_rate": 4.562699994262881e-06, + "loss": 0.8172, + "step": 29394 + }, + { + "epoch": 0.69, + "grad_norm": 1.5457704604655902, + "learning_rate": 4.5620596200979996e-06, + "loss": 0.91, + "step": 29395 + }, + { + "epoch": 0.69, + "grad_norm": 1.5328031171870373, + "learning_rate": 4.561419277594528e-06, + "loss": 0.964, + "step": 29396 + }, + { + "epoch": 0.69, + "grad_norm": 1.6958796285016828, + "learning_rate": 4.560778966756203e-06, + "loss": 0.7702, + "step": 29397 + }, + { + "epoch": 0.69, + "grad_norm": 1.6041992627022112, + "learning_rate": 4.560138687586737e-06, + "loss": 0.9095, + "step": 29398 + }, + { + "epoch": 0.69, + "grad_norm": 1.570184852873709, + "learning_rate": 4.5594984400898655e-06, + "loss": 0.8542, + "step": 29399 + }, + { + "epoch": 0.69, + "grad_norm": 1.370824016164841, + "learning_rate": 4.5588582242693215e-06, + "loss": 0.8327, + "step": 29400 + }, + { + "epoch": 0.69, + "grad_norm": 1.7782407689281094, + "learning_rate": 4.558218040128822e-06, + "loss": 0.817, + "step": 29401 + }, + { + "epoch": 0.69, + "grad_norm": 0.7565466660616285, + "learning_rate": 4.5575778876721055e-06, + "loss": 0.673, + "step": 29402 + }, + { + "epoch": 0.69, + "grad_norm": 1.6215973905099, + "learning_rate": 4.556937766902888e-06, + "loss": 0.8209, + "step": 29403 + }, + { + "epoch": 0.69, + "grad_norm": 1.772564967441748, + "learning_rate": 4.556297677824907e-06, + "loss": 0.7824, + "step": 29404 + }, + { + "epoch": 0.69, + "grad_norm": 1.564331965477835, + "learning_rate": 4.555657620441881e-06, + "loss": 0.8103, + "step": 29405 + }, + { + "epoch": 0.69, + "grad_norm": 1.528975158375195, + "learning_rate": 4.555017594757543e-06, + "loss": 0.9438, + "step": 29406 + }, + { + "epoch": 0.69, + "grad_norm": 1.7016441657965153, + "learning_rate": 4.554377600775617e-06, + "loss": 0.924, + "step": 29407 + }, + { + "epoch": 0.69, + "grad_norm": 1.7024224417304745, + "learning_rate": 4.553737638499824e-06, + "loss": 0.8909, + "step": 29408 + }, + { + "epoch": 0.69, + "grad_norm": 0.7957543823794154, + "learning_rate": 4.553097707933894e-06, + "loss": 0.7277, + "step": 29409 + }, + { + "epoch": 0.69, + "grad_norm": 1.8333008827337869, + "learning_rate": 4.55245780908156e-06, + "loss": 0.8474, + "step": 29410 + }, + { + "epoch": 0.69, + "grad_norm": 1.5343044699471085, + "learning_rate": 4.551817941946539e-06, + "loss": 0.8958, + "step": 29411 + }, + { + "epoch": 0.69, + "grad_norm": 1.4852304069840414, + "learning_rate": 4.5511781065325564e-06, + "loss": 0.8949, + "step": 29412 + }, + { + "epoch": 0.69, + "grad_norm": 1.6923000753269166, + "learning_rate": 4.550538302843339e-06, + "loss": 0.8492, + "step": 29413 + }, + { + "epoch": 0.69, + "grad_norm": 1.6252217454915932, + "learning_rate": 4.5498985308826174e-06, + "loss": 0.8606, + "step": 29414 + }, + { + "epoch": 0.69, + "grad_norm": 1.6748610003960758, + "learning_rate": 4.549258790654112e-06, + "loss": 0.953, + "step": 29415 + }, + { + "epoch": 0.69, + "grad_norm": 0.77705505764265, + "learning_rate": 4.548619082161543e-06, + "loss": 0.7219, + "step": 29416 + }, + { + "epoch": 0.69, + "grad_norm": 1.4916656978332432, + "learning_rate": 4.54797940540864e-06, + "loss": 0.8258, + "step": 29417 + }, + { + "epoch": 0.69, + "grad_norm": 1.6697112956448195, + "learning_rate": 4.547339760399131e-06, + "loss": 0.8099, + "step": 29418 + }, + { + "epoch": 0.69, + "grad_norm": 1.5414669055571668, + "learning_rate": 4.5467001471367355e-06, + "loss": 0.7843, + "step": 29419 + }, + { + "epoch": 0.69, + "grad_norm": 1.5612785480093334, + "learning_rate": 4.546060565625175e-06, + "loss": 0.806, + "step": 29420 + }, + { + "epoch": 0.69, + "grad_norm": 2.9680715981608654, + "learning_rate": 4.545421015868181e-06, + "loss": 0.7361, + "step": 29421 + }, + { + "epoch": 0.69, + "grad_norm": 1.688584353662975, + "learning_rate": 4.5447814978694685e-06, + "loss": 0.7316, + "step": 29422 + }, + { + "epoch": 0.69, + "grad_norm": 1.9688433447513853, + "learning_rate": 4.544142011632769e-06, + "loss": 0.8803, + "step": 29423 + }, + { + "epoch": 0.69, + "grad_norm": 1.4741157818787312, + "learning_rate": 4.543502557161797e-06, + "loss": 0.783, + "step": 29424 + }, + { + "epoch": 0.69, + "grad_norm": 0.7798147746798889, + "learning_rate": 4.542863134460286e-06, + "loss": 0.7306, + "step": 29425 + }, + { + "epoch": 0.69, + "grad_norm": 1.7065365988349184, + "learning_rate": 4.542223743531949e-06, + "loss": 0.7763, + "step": 29426 + }, + { + "epoch": 0.69, + "grad_norm": 1.9517474780090152, + "learning_rate": 4.541584384380518e-06, + "loss": 0.7418, + "step": 29427 + }, + { + "epoch": 0.69, + "grad_norm": 1.7693626835718619, + "learning_rate": 4.540945057009709e-06, + "loss": 0.7494, + "step": 29428 + }, + { + "epoch": 0.69, + "grad_norm": 0.7619766726564414, + "learning_rate": 4.540305761423244e-06, + "loss": 0.7269, + "step": 29429 + }, + { + "epoch": 0.69, + "grad_norm": 1.4972504887344813, + "learning_rate": 4.5396664976248476e-06, + "loss": 0.8798, + "step": 29430 + }, + { + "epoch": 0.69, + "grad_norm": 1.5012245341216566, + "learning_rate": 4.539027265618244e-06, + "loss": 0.8145, + "step": 29431 + }, + { + "epoch": 0.69, + "grad_norm": 1.4485821390460074, + "learning_rate": 4.5383880654071525e-06, + "loss": 0.893, + "step": 29432 + }, + { + "epoch": 0.69, + "grad_norm": 1.5495481617935811, + "learning_rate": 4.537748896995292e-06, + "loss": 0.8324, + "step": 29433 + }, + { + "epoch": 0.69, + "grad_norm": 1.4773182867897852, + "learning_rate": 4.537109760386387e-06, + "loss": 0.7835, + "step": 29434 + }, + { + "epoch": 0.69, + "grad_norm": 1.6887925902942413, + "learning_rate": 4.536470655584161e-06, + "loss": 0.8667, + "step": 29435 + }, + { + "epoch": 0.69, + "grad_norm": 0.8085424060950565, + "learning_rate": 4.535831582592333e-06, + "loss": 0.6895, + "step": 29436 + }, + { + "epoch": 0.69, + "grad_norm": 1.862161838536848, + "learning_rate": 4.53519254141462e-06, + "loss": 0.7666, + "step": 29437 + }, + { + "epoch": 0.69, + "grad_norm": 0.7712422722134139, + "learning_rate": 4.5345535320547465e-06, + "loss": 0.704, + "step": 29438 + }, + { + "epoch": 0.69, + "grad_norm": 1.4211966389293875, + "learning_rate": 4.533914554516435e-06, + "loss": 0.7229, + "step": 29439 + }, + { + "epoch": 0.69, + "grad_norm": 1.6382141490977562, + "learning_rate": 4.533275608803405e-06, + "loss": 1.0265, + "step": 29440 + }, + { + "epoch": 0.69, + "grad_norm": 1.5658068415462434, + "learning_rate": 4.532636694919371e-06, + "loss": 0.917, + "step": 29441 + }, + { + "epoch": 0.69, + "grad_norm": 1.4702907160306031, + "learning_rate": 4.531997812868061e-06, + "loss": 0.8659, + "step": 29442 + }, + { + "epoch": 0.69, + "grad_norm": 1.5898624455203012, + "learning_rate": 4.5313589626531864e-06, + "loss": 0.9921, + "step": 29443 + }, + { + "epoch": 0.69, + "grad_norm": 1.609058153359529, + "learning_rate": 4.5307201442784755e-06, + "loss": 0.7345, + "step": 29444 + }, + { + "epoch": 0.69, + "grad_norm": 1.7488021887365093, + "learning_rate": 4.53008135774764e-06, + "loss": 0.8109, + "step": 29445 + }, + { + "epoch": 0.69, + "grad_norm": 2.064348734764207, + "learning_rate": 4.529442603064406e-06, + "loss": 0.906, + "step": 29446 + }, + { + "epoch": 0.69, + "grad_norm": 0.7212779677924286, + "learning_rate": 4.528803880232485e-06, + "loss": 0.7763, + "step": 29447 + }, + { + "epoch": 0.69, + "grad_norm": 1.8594067245832846, + "learning_rate": 4.528165189255605e-06, + "loss": 0.8286, + "step": 29448 + }, + { + "epoch": 0.69, + "grad_norm": 1.5228825086648654, + "learning_rate": 4.527526530137478e-06, + "loss": 0.8858, + "step": 29449 + }, + { + "epoch": 0.69, + "grad_norm": 1.6564417166802154, + "learning_rate": 4.526887902881822e-06, + "loss": 0.7708, + "step": 29450 + }, + { + "epoch": 0.69, + "grad_norm": 2.672023067320013, + "learning_rate": 4.526249307492355e-06, + "loss": 0.9237, + "step": 29451 + }, + { + "epoch": 0.69, + "grad_norm": 1.6794084788668155, + "learning_rate": 4.525610743972804e-06, + "loss": 0.8184, + "step": 29452 + }, + { + "epoch": 0.69, + "grad_norm": 1.7078766982929918, + "learning_rate": 4.524972212326878e-06, + "loss": 0.8735, + "step": 29453 + }, + { + "epoch": 0.69, + "grad_norm": 1.6931032758962907, + "learning_rate": 4.524333712558294e-06, + "loss": 0.7025, + "step": 29454 + }, + { + "epoch": 0.69, + "grad_norm": 1.456613371703249, + "learning_rate": 4.5236952446707735e-06, + "loss": 0.9501, + "step": 29455 + }, + { + "epoch": 0.69, + "grad_norm": 1.7072738869303263, + "learning_rate": 4.523056808668037e-06, + "loss": 0.9636, + "step": 29456 + }, + { + "epoch": 0.69, + "grad_norm": 1.6814942956514174, + "learning_rate": 4.5224184045537964e-06, + "loss": 0.9414, + "step": 29457 + }, + { + "epoch": 0.69, + "grad_norm": 1.5192588029296752, + "learning_rate": 4.521780032331768e-06, + "loss": 0.8982, + "step": 29458 + }, + { + "epoch": 0.69, + "grad_norm": 1.8879773305757044, + "learning_rate": 4.521141692005669e-06, + "loss": 0.8336, + "step": 29459 + }, + { + "epoch": 0.69, + "grad_norm": 1.7024204202500857, + "learning_rate": 4.5205033835792226e-06, + "loss": 0.8767, + "step": 29460 + }, + { + "epoch": 0.69, + "grad_norm": 1.5891766377597507, + "learning_rate": 4.519865107056139e-06, + "loss": 0.807, + "step": 29461 + }, + { + "epoch": 0.69, + "grad_norm": 1.4770792765863714, + "learning_rate": 4.519226862440134e-06, + "loss": 0.7928, + "step": 29462 + }, + { + "epoch": 0.69, + "grad_norm": 1.822729420791259, + "learning_rate": 4.518588649734927e-06, + "loss": 0.8286, + "step": 29463 + }, + { + "epoch": 0.69, + "grad_norm": 1.5055252746603915, + "learning_rate": 4.51795046894423e-06, + "loss": 0.7585, + "step": 29464 + }, + { + "epoch": 0.69, + "grad_norm": 0.8155932297965651, + "learning_rate": 4.517312320071764e-06, + "loss": 0.7233, + "step": 29465 + }, + { + "epoch": 0.69, + "grad_norm": 1.7389498333504858, + "learning_rate": 4.5166742031212375e-06, + "loss": 0.876, + "step": 29466 + }, + { + "epoch": 0.69, + "grad_norm": 1.6091564753863128, + "learning_rate": 4.516036118096374e-06, + "loss": 0.8561, + "step": 29467 + }, + { + "epoch": 0.69, + "grad_norm": 2.6564254257203856, + "learning_rate": 4.515398065000881e-06, + "loss": 0.8293, + "step": 29468 + }, + { + "epoch": 0.69, + "grad_norm": 2.2405895175727997, + "learning_rate": 4.51476004383848e-06, + "loss": 0.9026, + "step": 29469 + }, + { + "epoch": 0.69, + "grad_norm": 4.076915718499561, + "learning_rate": 4.514122054612883e-06, + "loss": 0.8567, + "step": 29470 + }, + { + "epoch": 0.69, + "grad_norm": 1.6689665350365432, + "learning_rate": 4.5134840973278e-06, + "loss": 1.0107, + "step": 29471 + }, + { + "epoch": 0.69, + "grad_norm": 1.4742223734091255, + "learning_rate": 4.51284617198695e-06, + "loss": 0.712, + "step": 29472 + }, + { + "epoch": 0.69, + "grad_norm": 0.8242620936016596, + "learning_rate": 4.51220827859405e-06, + "loss": 0.6981, + "step": 29473 + }, + { + "epoch": 0.69, + "grad_norm": 1.530663043150715, + "learning_rate": 4.5115704171528105e-06, + "loss": 0.7728, + "step": 29474 + }, + { + "epoch": 0.69, + "grad_norm": 1.5389079138117423, + "learning_rate": 4.510932587666943e-06, + "loss": 1.0136, + "step": 29475 + }, + { + "epoch": 0.69, + "grad_norm": 2.2071914139481454, + "learning_rate": 4.510294790140164e-06, + "loss": 0.8608, + "step": 29476 + }, + { + "epoch": 0.69, + "grad_norm": 1.4600262560115203, + "learning_rate": 4.509657024576189e-06, + "loss": 0.9511, + "step": 29477 + }, + { + "epoch": 0.69, + "grad_norm": 1.371995885661374, + "learning_rate": 4.50901929097873e-06, + "loss": 0.794, + "step": 29478 + }, + { + "epoch": 0.69, + "grad_norm": 1.6935511151226774, + "learning_rate": 4.508381589351496e-06, + "loss": 0.7773, + "step": 29479 + }, + { + "epoch": 0.69, + "grad_norm": 1.725584290478168, + "learning_rate": 4.507743919698202e-06, + "loss": 0.8177, + "step": 29480 + }, + { + "epoch": 0.69, + "grad_norm": 1.5180111920198096, + "learning_rate": 4.507106282022565e-06, + "loss": 0.8578, + "step": 29481 + }, + { + "epoch": 0.69, + "grad_norm": 1.4725148994178456, + "learning_rate": 4.506468676328295e-06, + "loss": 0.8307, + "step": 29482 + }, + { + "epoch": 0.69, + "grad_norm": 1.6803562484290409, + "learning_rate": 4.5058311026191e-06, + "loss": 0.7505, + "step": 29483 + }, + { + "epoch": 0.69, + "grad_norm": 1.5636246903556517, + "learning_rate": 4.5051935608986994e-06, + "loss": 1.0156, + "step": 29484 + }, + { + "epoch": 0.69, + "grad_norm": 1.526951950677498, + "learning_rate": 4.504556051170797e-06, + "loss": 0.8828, + "step": 29485 + }, + { + "epoch": 0.69, + "grad_norm": 1.6563371116898442, + "learning_rate": 4.50391857343911e-06, + "loss": 0.8686, + "step": 29486 + }, + { + "epoch": 0.69, + "grad_norm": 0.810746655812847, + "learning_rate": 4.5032811277073525e-06, + "loss": 0.6737, + "step": 29487 + }, + { + "epoch": 0.69, + "grad_norm": 1.8613756673841497, + "learning_rate": 4.502643713979232e-06, + "loss": 0.9318, + "step": 29488 + }, + { + "epoch": 0.69, + "grad_norm": 1.89408805414091, + "learning_rate": 4.5020063322584585e-06, + "loss": 0.9317, + "step": 29489 + }, + { + "epoch": 0.69, + "grad_norm": 1.8987403072744733, + "learning_rate": 4.501368982548743e-06, + "loss": 0.8563, + "step": 29490 + }, + { + "epoch": 0.69, + "grad_norm": 1.8867242346528648, + "learning_rate": 4.500731664853801e-06, + "loss": 0.8443, + "step": 29491 + }, + { + "epoch": 0.69, + "grad_norm": 1.6685890989438752, + "learning_rate": 4.500094379177342e-06, + "loss": 0.8657, + "step": 29492 + }, + { + "epoch": 0.69, + "grad_norm": 1.6505390785393323, + "learning_rate": 4.499457125523071e-06, + "loss": 1.0049, + "step": 29493 + }, + { + "epoch": 0.69, + "grad_norm": 1.6865599856057012, + "learning_rate": 4.498819903894701e-06, + "loss": 0.742, + "step": 29494 + }, + { + "epoch": 0.69, + "grad_norm": 1.8676646872733242, + "learning_rate": 4.498182714295951e-06, + "loss": 0.7392, + "step": 29495 + }, + { + "epoch": 0.69, + "grad_norm": 1.7223030362141356, + "learning_rate": 4.497545556730516e-06, + "loss": 0.9668, + "step": 29496 + }, + { + "epoch": 0.69, + "grad_norm": 1.478172071864327, + "learning_rate": 4.496908431202113e-06, + "loss": 0.8235, + "step": 29497 + }, + { + "epoch": 0.69, + "grad_norm": 1.7316116200290128, + "learning_rate": 4.49627133771445e-06, + "loss": 0.7874, + "step": 29498 + }, + { + "epoch": 0.69, + "grad_norm": 2.091353313705817, + "learning_rate": 4.495634276271244e-06, + "loss": 0.8826, + "step": 29499 + }, + { + "epoch": 0.69, + "grad_norm": 1.377191470701526, + "learning_rate": 4.494997246876196e-06, + "loss": 0.7569, + "step": 29500 + }, + { + "epoch": 0.7, + "grad_norm": 1.922981186366824, + "learning_rate": 4.494360249533013e-06, + "loss": 0.9177, + "step": 29501 + }, + { + "epoch": 0.7, + "grad_norm": 2.256175493538634, + "learning_rate": 4.493723284245413e-06, + "loss": 0.9694, + "step": 29502 + }, + { + "epoch": 0.7, + "grad_norm": 1.8598114862832482, + "learning_rate": 4.493086351017093e-06, + "loss": 0.9199, + "step": 29503 + }, + { + "epoch": 0.7, + "grad_norm": 0.7863465741177729, + "learning_rate": 4.4924494498517735e-06, + "loss": 0.7087, + "step": 29504 + }, + { + "epoch": 0.7, + "grad_norm": 0.7348438953459691, + "learning_rate": 4.491812580753152e-06, + "loss": 0.703, + "step": 29505 + }, + { + "epoch": 0.7, + "grad_norm": 0.716545789567592, + "learning_rate": 4.491175743724947e-06, + "loss": 0.7196, + "step": 29506 + }, + { + "epoch": 0.7, + "grad_norm": 1.5185053183550867, + "learning_rate": 4.490538938770855e-06, + "loss": 0.9619, + "step": 29507 + }, + { + "epoch": 0.7, + "grad_norm": 1.3856097547728237, + "learning_rate": 4.489902165894595e-06, + "loss": 0.8209, + "step": 29508 + }, + { + "epoch": 0.7, + "grad_norm": 1.6499728818608552, + "learning_rate": 4.489265425099868e-06, + "loss": 0.8026, + "step": 29509 + }, + { + "epoch": 0.7, + "grad_norm": 1.626838070694095, + "learning_rate": 4.48862871639038e-06, + "loss": 0.9102, + "step": 29510 + }, + { + "epoch": 0.7, + "grad_norm": 1.5444501913590194, + "learning_rate": 4.487992039769838e-06, + "loss": 0.9382, + "step": 29511 + }, + { + "epoch": 0.7, + "grad_norm": 1.6691894548685906, + "learning_rate": 4.487355395241958e-06, + "loss": 0.8739, + "step": 29512 + }, + { + "epoch": 0.7, + "grad_norm": 1.6034896076337373, + "learning_rate": 4.486718782810439e-06, + "loss": 0.8774, + "step": 29513 + }, + { + "epoch": 0.7, + "grad_norm": 1.4401301860596492, + "learning_rate": 4.486082202478984e-06, + "loss": 0.7476, + "step": 29514 + }, + { + "epoch": 0.7, + "grad_norm": 1.644568589603091, + "learning_rate": 4.485445654251305e-06, + "loss": 0.76, + "step": 29515 + }, + { + "epoch": 0.7, + "grad_norm": 1.6297518318513569, + "learning_rate": 4.484809138131111e-06, + "loss": 0.8147, + "step": 29516 + }, + { + "epoch": 0.7, + "grad_norm": 1.40269442410795, + "learning_rate": 4.484172654122104e-06, + "loss": 0.8844, + "step": 29517 + }, + { + "epoch": 0.7, + "grad_norm": 2.538800512389685, + "learning_rate": 4.483536202227987e-06, + "loss": 0.7973, + "step": 29518 + }, + { + "epoch": 0.7, + "grad_norm": 1.5765941584056613, + "learning_rate": 4.482899782452468e-06, + "loss": 0.8263, + "step": 29519 + }, + { + "epoch": 0.7, + "grad_norm": 1.739873341115268, + "learning_rate": 4.482263394799258e-06, + "loss": 0.8724, + "step": 29520 + }, + { + "epoch": 0.7, + "grad_norm": 1.6993371731945257, + "learning_rate": 4.481627039272056e-06, + "loss": 0.8701, + "step": 29521 + }, + { + "epoch": 0.7, + "grad_norm": 1.3975977119703837, + "learning_rate": 4.480990715874564e-06, + "loss": 0.6882, + "step": 29522 + }, + { + "epoch": 0.7, + "grad_norm": 0.7627129215579364, + "learning_rate": 4.480354424610498e-06, + "loss": 0.7013, + "step": 29523 + }, + { + "epoch": 0.7, + "grad_norm": 1.5957813643007586, + "learning_rate": 4.47971816548355e-06, + "loss": 0.8974, + "step": 29524 + }, + { + "epoch": 0.7, + "grad_norm": 1.5844919346810666, + "learning_rate": 4.479081938497435e-06, + "loss": 0.7843, + "step": 29525 + }, + { + "epoch": 0.7, + "grad_norm": 1.98316649472295, + "learning_rate": 4.478445743655849e-06, + "loss": 0.7788, + "step": 29526 + }, + { + "epoch": 0.7, + "grad_norm": 1.5829474346011703, + "learning_rate": 4.477809580962503e-06, + "loss": 0.8757, + "step": 29527 + }, + { + "epoch": 0.7, + "grad_norm": 1.7145287226678783, + "learning_rate": 4.477173450421096e-06, + "loss": 0.7382, + "step": 29528 + }, + { + "epoch": 0.7, + "grad_norm": 1.6251086672397317, + "learning_rate": 4.476537352035336e-06, + "loss": 0.7983, + "step": 29529 + }, + { + "epoch": 0.7, + "grad_norm": 1.5601172992469077, + "learning_rate": 4.475901285808924e-06, + "loss": 0.8255, + "step": 29530 + }, + { + "epoch": 0.7, + "grad_norm": 1.7313596162805729, + "learning_rate": 4.4752652517455605e-06, + "loss": 0.6733, + "step": 29531 + }, + { + "epoch": 0.7, + "grad_norm": 1.5398266045506068, + "learning_rate": 4.4746292498489515e-06, + "loss": 0.8025, + "step": 29532 + }, + { + "epoch": 0.7, + "grad_norm": 1.4733435570755777, + "learning_rate": 4.4739932801228046e-06, + "loss": 0.7277, + "step": 29533 + }, + { + "epoch": 0.7, + "grad_norm": 1.4000667453698747, + "learning_rate": 4.473357342570819e-06, + "loss": 0.8204, + "step": 29534 + }, + { + "epoch": 0.7, + "grad_norm": 1.515309231067651, + "learning_rate": 4.472721437196692e-06, + "loss": 0.8704, + "step": 29535 + }, + { + "epoch": 0.7, + "grad_norm": 1.6069154585858496, + "learning_rate": 4.472085564004131e-06, + "loss": 0.7932, + "step": 29536 + }, + { + "epoch": 0.7, + "grad_norm": 1.4270489179161394, + "learning_rate": 4.47144972299684e-06, + "loss": 0.7946, + "step": 29537 + }, + { + "epoch": 0.7, + "grad_norm": 1.9246625421991301, + "learning_rate": 4.470813914178521e-06, + "loss": 0.8992, + "step": 29538 + }, + { + "epoch": 0.7, + "grad_norm": 1.766573199950705, + "learning_rate": 4.47017813755287e-06, + "loss": 0.8923, + "step": 29539 + }, + { + "epoch": 0.7, + "grad_norm": 0.788158767760824, + "learning_rate": 4.4695423931235915e-06, + "loss": 0.6588, + "step": 29540 + }, + { + "epoch": 0.7, + "grad_norm": 2.176538275637392, + "learning_rate": 4.4689066808943925e-06, + "loss": 0.8249, + "step": 29541 + }, + { + "epoch": 0.7, + "grad_norm": 0.7725910596620827, + "learning_rate": 4.46827100086897e-06, + "loss": 0.7759, + "step": 29542 + }, + { + "epoch": 0.7, + "grad_norm": 1.5814681578884162, + "learning_rate": 4.467635353051021e-06, + "loss": 0.9624, + "step": 29543 + }, + { + "epoch": 0.7, + "grad_norm": 0.735594803021118, + "learning_rate": 4.466999737444254e-06, + "loss": 0.6726, + "step": 29544 + }, + { + "epoch": 0.7, + "grad_norm": 1.5165938692594756, + "learning_rate": 4.466364154052364e-06, + "loss": 0.7637, + "step": 29545 + }, + { + "epoch": 0.7, + "grad_norm": 1.4933569193123415, + "learning_rate": 4.4657286028790555e-06, + "loss": 0.779, + "step": 29546 + }, + { + "epoch": 0.7, + "grad_norm": 1.604743721895031, + "learning_rate": 4.465093083928025e-06, + "loss": 0.7679, + "step": 29547 + }, + { + "epoch": 0.7, + "grad_norm": 1.3800544501044907, + "learning_rate": 4.464457597202978e-06, + "loss": 0.7993, + "step": 29548 + }, + { + "epoch": 0.7, + "grad_norm": 1.7443657755402027, + "learning_rate": 4.4638221427076075e-06, + "loss": 0.7315, + "step": 29549 + }, + { + "epoch": 0.7, + "grad_norm": 1.746759858962012, + "learning_rate": 4.4631867204456215e-06, + "loss": 0.819, + "step": 29550 + }, + { + "epoch": 0.7, + "grad_norm": 1.621212081816546, + "learning_rate": 4.462551330420715e-06, + "loss": 0.7515, + "step": 29551 + }, + { + "epoch": 0.7, + "grad_norm": 1.8011358877344714, + "learning_rate": 4.461915972636584e-06, + "loss": 0.7689, + "step": 29552 + }, + { + "epoch": 0.7, + "grad_norm": 1.6508621316618592, + "learning_rate": 4.461280647096932e-06, + "loss": 0.8375, + "step": 29553 + }, + { + "epoch": 0.7, + "grad_norm": 0.7593890491838166, + "learning_rate": 4.46064535380546e-06, + "loss": 0.714, + "step": 29554 + }, + { + "epoch": 0.7, + "grad_norm": 2.452709683444677, + "learning_rate": 4.460010092765866e-06, + "loss": 0.8023, + "step": 29555 + }, + { + "epoch": 0.7, + "grad_norm": 1.5317828760664371, + "learning_rate": 4.4593748639818425e-06, + "loss": 0.8297, + "step": 29556 + }, + { + "epoch": 0.7, + "grad_norm": 1.8955313287663755, + "learning_rate": 4.458739667457094e-06, + "loss": 0.725, + "step": 29557 + }, + { + "epoch": 0.7, + "grad_norm": 1.5639694261736854, + "learning_rate": 4.4581045031953195e-06, + "loss": 0.7579, + "step": 29558 + }, + { + "epoch": 0.7, + "grad_norm": 1.6709240568500032, + "learning_rate": 4.457469371200216e-06, + "loss": 0.8785, + "step": 29559 + }, + { + "epoch": 0.7, + "grad_norm": 1.4783666430266484, + "learning_rate": 4.456834271475477e-06, + "loss": 0.7683, + "step": 29560 + }, + { + "epoch": 0.7, + "grad_norm": 1.464139892912677, + "learning_rate": 4.456199204024803e-06, + "loss": 0.8696, + "step": 29561 + }, + { + "epoch": 0.7, + "grad_norm": 1.4730067042638741, + "learning_rate": 4.455564168851897e-06, + "loss": 0.7851, + "step": 29562 + }, + { + "epoch": 0.7, + "grad_norm": 1.9342397455865636, + "learning_rate": 4.454929165960451e-06, + "loss": 0.8646, + "step": 29563 + }, + { + "epoch": 0.7, + "grad_norm": 1.8210911952519744, + "learning_rate": 4.45429419535416e-06, + "loss": 0.809, + "step": 29564 + }, + { + "epoch": 0.7, + "grad_norm": 1.615041868508214, + "learning_rate": 4.453659257036727e-06, + "loss": 0.862, + "step": 29565 + }, + { + "epoch": 0.7, + "grad_norm": 1.6494629413957844, + "learning_rate": 4.453024351011842e-06, + "loss": 0.9598, + "step": 29566 + }, + { + "epoch": 0.7, + "grad_norm": 1.8423312859708687, + "learning_rate": 4.452389477283209e-06, + "loss": 0.9443, + "step": 29567 + }, + { + "epoch": 0.7, + "grad_norm": 1.6028995480405022, + "learning_rate": 4.4517546358545175e-06, + "loss": 0.881, + "step": 29568 + }, + { + "epoch": 0.7, + "grad_norm": 0.7361173699487848, + "learning_rate": 4.451119826729471e-06, + "loss": 0.7208, + "step": 29569 + }, + { + "epoch": 0.7, + "grad_norm": 0.8131292365930223, + "learning_rate": 4.450485049911757e-06, + "loss": 0.753, + "step": 29570 + }, + { + "epoch": 0.7, + "grad_norm": 1.5021493604734946, + "learning_rate": 4.449850305405082e-06, + "loss": 0.9134, + "step": 29571 + }, + { + "epoch": 0.7, + "grad_norm": 1.3327389837060089, + "learning_rate": 4.449215593213133e-06, + "loss": 0.8137, + "step": 29572 + }, + { + "epoch": 0.7, + "grad_norm": 1.5791560561291182, + "learning_rate": 4.448580913339605e-06, + "loss": 0.9857, + "step": 29573 + }, + { + "epoch": 0.7, + "grad_norm": 1.3584402180851518, + "learning_rate": 4.447946265788197e-06, + "loss": 0.8407, + "step": 29574 + }, + { + "epoch": 0.7, + "grad_norm": 1.3628096450708256, + "learning_rate": 4.447311650562604e-06, + "loss": 0.7355, + "step": 29575 + }, + { + "epoch": 0.7, + "grad_norm": 0.8079233645774225, + "learning_rate": 4.446677067666527e-06, + "loss": 0.7034, + "step": 29576 + }, + { + "epoch": 0.7, + "grad_norm": 1.594314403071168, + "learning_rate": 4.446042517103647e-06, + "loss": 0.8128, + "step": 29577 + }, + { + "epoch": 0.7, + "grad_norm": 1.505876585472251, + "learning_rate": 4.445407998877667e-06, + "loss": 0.8726, + "step": 29578 + }, + { + "epoch": 0.7, + "grad_norm": 2.5603928407122027, + "learning_rate": 4.444773512992282e-06, + "loss": 0.849, + "step": 29579 + }, + { + "epoch": 0.7, + "grad_norm": 1.7203412931225879, + "learning_rate": 4.4441390594511855e-06, + "loss": 0.8409, + "step": 29580 + }, + { + "epoch": 0.7, + "grad_norm": 1.580781801728292, + "learning_rate": 4.443504638258066e-06, + "loss": 0.9297, + "step": 29581 + }, + { + "epoch": 0.7, + "grad_norm": 1.5159836378698566, + "learning_rate": 4.442870249416622e-06, + "loss": 0.9145, + "step": 29582 + }, + { + "epoch": 0.7, + "grad_norm": 1.5782745490823173, + "learning_rate": 4.442235892930551e-06, + "loss": 0.8126, + "step": 29583 + }, + { + "epoch": 0.7, + "grad_norm": 1.6739553193481476, + "learning_rate": 4.441601568803538e-06, + "loss": 0.7916, + "step": 29584 + }, + { + "epoch": 0.7, + "grad_norm": 1.4925669286903422, + "learning_rate": 4.440967277039284e-06, + "loss": 0.8938, + "step": 29585 + }, + { + "epoch": 0.7, + "grad_norm": 1.7012865256150245, + "learning_rate": 4.4403330176414795e-06, + "loss": 0.7886, + "step": 29586 + }, + { + "epoch": 0.7, + "grad_norm": 1.5113146860717146, + "learning_rate": 4.439698790613811e-06, + "loss": 0.9042, + "step": 29587 + }, + { + "epoch": 0.7, + "grad_norm": 1.4948145656798293, + "learning_rate": 4.439064595959978e-06, + "loss": 0.7324, + "step": 29588 + }, + { + "epoch": 0.7, + "grad_norm": 1.6347109642591038, + "learning_rate": 4.4384304336836745e-06, + "loss": 0.8719, + "step": 29589 + }, + { + "epoch": 0.7, + "grad_norm": 1.866350024699216, + "learning_rate": 4.437796303788589e-06, + "loss": 0.7098, + "step": 29590 + }, + { + "epoch": 0.7, + "grad_norm": 1.4995729679967835, + "learning_rate": 4.437162206278413e-06, + "loss": 0.829, + "step": 29591 + }, + { + "epoch": 0.7, + "grad_norm": 1.5992442476191604, + "learning_rate": 4.436528141156838e-06, + "loss": 0.8326, + "step": 29592 + }, + { + "epoch": 0.7, + "grad_norm": 1.8710710764548475, + "learning_rate": 4.435894108427564e-06, + "loss": 0.7925, + "step": 29593 + }, + { + "epoch": 0.7, + "grad_norm": 2.0366143051826344, + "learning_rate": 4.43526010809427e-06, + "loss": 0.9723, + "step": 29594 + }, + { + "epoch": 0.7, + "grad_norm": 0.7652023314265842, + "learning_rate": 4.434626140160654e-06, + "loss": 0.7316, + "step": 29595 + }, + { + "epoch": 0.7, + "grad_norm": 0.7220317583642376, + "learning_rate": 4.4339922046304055e-06, + "loss": 0.653, + "step": 29596 + }, + { + "epoch": 0.7, + "grad_norm": 1.5855700031178093, + "learning_rate": 4.43335830150722e-06, + "loss": 0.7202, + "step": 29597 + }, + { + "epoch": 0.7, + "grad_norm": 1.630611449944185, + "learning_rate": 4.432724430794786e-06, + "loss": 0.8457, + "step": 29598 + }, + { + "epoch": 0.7, + "grad_norm": 1.475935453402998, + "learning_rate": 4.432090592496788e-06, + "loss": 0.9015, + "step": 29599 + }, + { + "epoch": 0.7, + "grad_norm": 1.5738336525658672, + "learning_rate": 4.431456786616927e-06, + "loss": 0.86, + "step": 29600 + }, + { + "epoch": 0.7, + "grad_norm": 1.7097722072738255, + "learning_rate": 4.4308230131588826e-06, + "loss": 0.929, + "step": 29601 + }, + { + "epoch": 0.7, + "grad_norm": 1.749020120087363, + "learning_rate": 4.430189272126353e-06, + "loss": 0.8058, + "step": 29602 + }, + { + "epoch": 0.7, + "grad_norm": 12.21009358888762, + "learning_rate": 4.429555563523021e-06, + "loss": 0.8566, + "step": 29603 + }, + { + "epoch": 0.7, + "grad_norm": 1.543607018871813, + "learning_rate": 4.4289218873525855e-06, + "loss": 0.8308, + "step": 29604 + }, + { + "epoch": 0.7, + "grad_norm": 1.3879174199490107, + "learning_rate": 4.428288243618725e-06, + "loss": 0.8319, + "step": 29605 + }, + { + "epoch": 0.7, + "grad_norm": 1.944253973443322, + "learning_rate": 4.427654632325139e-06, + "loss": 0.7807, + "step": 29606 + }, + { + "epoch": 0.7, + "grad_norm": 0.7501054966432636, + "learning_rate": 4.427021053475512e-06, + "loss": 0.7193, + "step": 29607 + }, + { + "epoch": 0.7, + "grad_norm": 1.524597523988285, + "learning_rate": 4.426387507073529e-06, + "loss": 0.8292, + "step": 29608 + }, + { + "epoch": 0.7, + "grad_norm": 1.610114623527964, + "learning_rate": 4.425753993122882e-06, + "loss": 0.8817, + "step": 29609 + }, + { + "epoch": 0.7, + "grad_norm": 1.5716348391195196, + "learning_rate": 4.425120511627263e-06, + "loss": 0.7647, + "step": 29610 + }, + { + "epoch": 0.7, + "grad_norm": 1.595674563686908, + "learning_rate": 4.424487062590359e-06, + "loss": 0.7686, + "step": 29611 + }, + { + "epoch": 0.7, + "grad_norm": 2.113741045490256, + "learning_rate": 4.423853646015852e-06, + "loss": 0.9437, + "step": 29612 + }, + { + "epoch": 0.7, + "grad_norm": 1.5656672268199963, + "learning_rate": 4.423220261907435e-06, + "loss": 0.8458, + "step": 29613 + }, + { + "epoch": 0.7, + "grad_norm": 1.5959734051979513, + "learning_rate": 4.422586910268798e-06, + "loss": 0.9051, + "step": 29614 + }, + { + "epoch": 0.7, + "grad_norm": 2.7986189042217884, + "learning_rate": 4.421953591103627e-06, + "loss": 0.8342, + "step": 29615 + }, + { + "epoch": 0.7, + "grad_norm": 1.5517537119275886, + "learning_rate": 4.421320304415604e-06, + "loss": 0.8072, + "step": 29616 + }, + { + "epoch": 0.7, + "grad_norm": 1.5355570124596238, + "learning_rate": 4.42068705020842e-06, + "loss": 0.9214, + "step": 29617 + }, + { + "epoch": 0.7, + "grad_norm": 1.5383709965430912, + "learning_rate": 4.420053828485765e-06, + "loss": 0.8771, + "step": 29618 + }, + { + "epoch": 0.7, + "grad_norm": 1.6002629738606962, + "learning_rate": 4.419420639251325e-06, + "loss": 0.8986, + "step": 29619 + }, + { + "epoch": 0.7, + "grad_norm": 1.4839939253144987, + "learning_rate": 4.4187874825087806e-06, + "loss": 0.7822, + "step": 29620 + }, + { + "epoch": 0.7, + "grad_norm": 1.4663819951023258, + "learning_rate": 4.418154358261822e-06, + "loss": 0.8509, + "step": 29621 + }, + { + "epoch": 0.7, + "grad_norm": 1.4094429325179774, + "learning_rate": 4.417521266514141e-06, + "loss": 0.8689, + "step": 29622 + }, + { + "epoch": 0.7, + "grad_norm": 1.7283253977918784, + "learning_rate": 4.416888207269418e-06, + "loss": 0.873, + "step": 29623 + }, + { + "epoch": 0.7, + "grad_norm": 1.5556011787778046, + "learning_rate": 4.4162551805313345e-06, + "loss": 0.8352, + "step": 29624 + }, + { + "epoch": 0.7, + "grad_norm": 1.7056612071150226, + "learning_rate": 4.4156221863035854e-06, + "loss": 0.875, + "step": 29625 + }, + { + "epoch": 0.7, + "grad_norm": 1.6128516520552507, + "learning_rate": 4.414989224589848e-06, + "loss": 0.775, + "step": 29626 + }, + { + "epoch": 0.7, + "grad_norm": 0.7855118984232526, + "learning_rate": 4.414356295393816e-06, + "loss": 0.7094, + "step": 29627 + }, + { + "epoch": 0.7, + "grad_norm": 1.6886621357246243, + "learning_rate": 4.413723398719167e-06, + "loss": 0.8897, + "step": 29628 + }, + { + "epoch": 0.7, + "grad_norm": 1.5569626040925673, + "learning_rate": 4.413090534569591e-06, + "loss": 0.9046, + "step": 29629 + }, + { + "epoch": 0.7, + "grad_norm": 1.5949367559067762, + "learning_rate": 4.412457702948768e-06, + "loss": 0.8908, + "step": 29630 + }, + { + "epoch": 0.7, + "grad_norm": 1.5335489827923157, + "learning_rate": 4.411824903860387e-06, + "loss": 0.9347, + "step": 29631 + }, + { + "epoch": 0.7, + "grad_norm": 1.768697636765615, + "learning_rate": 4.411192137308134e-06, + "loss": 0.8912, + "step": 29632 + }, + { + "epoch": 0.7, + "grad_norm": 1.6192589254188006, + "learning_rate": 4.410559403295683e-06, + "loss": 0.8889, + "step": 29633 + }, + { + "epoch": 0.7, + "grad_norm": 1.6606114320981178, + "learning_rate": 4.409926701826726e-06, + "loss": 0.882, + "step": 29634 + }, + { + "epoch": 0.7, + "grad_norm": 1.8084943675312022, + "learning_rate": 4.4092940329049495e-06, + "loss": 0.9116, + "step": 29635 + }, + { + "epoch": 0.7, + "grad_norm": 1.8298919822664101, + "learning_rate": 4.408661396534033e-06, + "loss": 0.8418, + "step": 29636 + }, + { + "epoch": 0.7, + "grad_norm": 1.609298133182667, + "learning_rate": 4.4080287927176565e-06, + "loss": 0.9146, + "step": 29637 + }, + { + "epoch": 0.7, + "grad_norm": 2.87956468847724, + "learning_rate": 4.407396221459507e-06, + "loss": 0.8408, + "step": 29638 + }, + { + "epoch": 0.7, + "grad_norm": 0.8256406241686843, + "learning_rate": 4.40676368276327e-06, + "loss": 0.6912, + "step": 29639 + }, + { + "epoch": 0.7, + "grad_norm": 1.4607814874887235, + "learning_rate": 4.406131176632626e-06, + "loss": 0.7638, + "step": 29640 + }, + { + "epoch": 0.7, + "grad_norm": 0.814149189087361, + "learning_rate": 4.405498703071254e-06, + "loss": 0.6799, + "step": 29641 + }, + { + "epoch": 0.7, + "grad_norm": 1.8006652109191095, + "learning_rate": 4.404866262082839e-06, + "loss": 0.9552, + "step": 29642 + }, + { + "epoch": 0.7, + "grad_norm": 1.6212783614103778, + "learning_rate": 4.404233853671069e-06, + "loss": 0.9657, + "step": 29643 + }, + { + "epoch": 0.7, + "grad_norm": 1.421422981437986, + "learning_rate": 4.403601477839619e-06, + "loss": 0.783, + "step": 29644 + }, + { + "epoch": 0.7, + "grad_norm": 1.5916530302793357, + "learning_rate": 4.402969134592171e-06, + "loss": 0.8692, + "step": 29645 + }, + { + "epoch": 0.7, + "grad_norm": 2.535427291146114, + "learning_rate": 4.402336823932412e-06, + "loss": 0.7926, + "step": 29646 + }, + { + "epoch": 0.7, + "grad_norm": 1.800878889248083, + "learning_rate": 4.401704545864016e-06, + "loss": 0.8502, + "step": 29647 + }, + { + "epoch": 0.7, + "grad_norm": 1.540765541390394, + "learning_rate": 4.401072300390672e-06, + "loss": 0.8646, + "step": 29648 + }, + { + "epoch": 0.7, + "grad_norm": 1.5260257369730894, + "learning_rate": 4.4004400875160545e-06, + "loss": 0.8096, + "step": 29649 + }, + { + "epoch": 0.7, + "grad_norm": 1.7254839996510059, + "learning_rate": 4.399807907243851e-06, + "loss": 0.7941, + "step": 29650 + }, + { + "epoch": 0.7, + "grad_norm": 1.665019758681016, + "learning_rate": 4.399175759577737e-06, + "loss": 0.8719, + "step": 29651 + }, + { + "epoch": 0.7, + "grad_norm": 4.307282234999847, + "learning_rate": 4.398543644521396e-06, + "loss": 0.8724, + "step": 29652 + }, + { + "epoch": 0.7, + "grad_norm": 1.490538054115947, + "learning_rate": 4.397911562078508e-06, + "loss": 0.9316, + "step": 29653 + }, + { + "epoch": 0.7, + "grad_norm": 0.8678792292576145, + "learning_rate": 4.39727951225275e-06, + "loss": 0.7396, + "step": 29654 + }, + { + "epoch": 0.7, + "grad_norm": 2.007678168655352, + "learning_rate": 4.3966474950478036e-06, + "loss": 0.9668, + "step": 29655 + }, + { + "epoch": 0.7, + "grad_norm": 1.7960413942799416, + "learning_rate": 4.396015510467353e-06, + "loss": 0.7696, + "step": 29656 + }, + { + "epoch": 0.7, + "grad_norm": 1.5320687044018573, + "learning_rate": 4.395383558515075e-06, + "loss": 0.7764, + "step": 29657 + }, + { + "epoch": 0.7, + "grad_norm": 1.7603319116085694, + "learning_rate": 4.394751639194644e-06, + "loss": 0.967, + "step": 29658 + }, + { + "epoch": 0.7, + "grad_norm": 1.546170592393075, + "learning_rate": 4.394119752509743e-06, + "loss": 0.9557, + "step": 29659 + }, + { + "epoch": 0.7, + "grad_norm": 1.4802787082871214, + "learning_rate": 4.393487898464056e-06, + "loss": 0.74, + "step": 29660 + }, + { + "epoch": 0.7, + "grad_norm": 1.6889204228689512, + "learning_rate": 4.392856077061258e-06, + "loss": 0.8166, + "step": 29661 + }, + { + "epoch": 0.7, + "grad_norm": 1.5123259346083833, + "learning_rate": 4.3922242883050226e-06, + "loss": 0.8894, + "step": 29662 + }, + { + "epoch": 0.7, + "grad_norm": 0.7692479616144823, + "learning_rate": 4.391592532199034e-06, + "loss": 0.7055, + "step": 29663 + }, + { + "epoch": 0.7, + "grad_norm": 0.7913924492994135, + "learning_rate": 4.390960808746971e-06, + "loss": 0.7619, + "step": 29664 + }, + { + "epoch": 0.7, + "grad_norm": 1.8029109719744378, + "learning_rate": 4.390329117952511e-06, + "loss": 0.9998, + "step": 29665 + }, + { + "epoch": 0.7, + "grad_norm": 0.7684766150824869, + "learning_rate": 4.389697459819327e-06, + "loss": 0.7082, + "step": 29666 + }, + { + "epoch": 0.7, + "grad_norm": 1.5414642131047709, + "learning_rate": 4.389065834351105e-06, + "loss": 0.9034, + "step": 29667 + }, + { + "epoch": 0.7, + "grad_norm": 1.6009314259021656, + "learning_rate": 4.3884342415515135e-06, + "loss": 0.8355, + "step": 29668 + }, + { + "epoch": 0.7, + "grad_norm": 1.5300441946729022, + "learning_rate": 4.387802681424234e-06, + "loss": 0.7677, + "step": 29669 + }, + { + "epoch": 0.7, + "grad_norm": 1.6106727837924801, + "learning_rate": 4.387171153972949e-06, + "loss": 0.8005, + "step": 29670 + }, + { + "epoch": 0.7, + "grad_norm": 1.5604360076347263, + "learning_rate": 4.38653965920133e-06, + "loss": 0.8348, + "step": 29671 + }, + { + "epoch": 0.7, + "grad_norm": 1.7113633644065502, + "learning_rate": 4.3859081971130516e-06, + "loss": 0.8334, + "step": 29672 + }, + { + "epoch": 0.7, + "grad_norm": 1.6795350278637895, + "learning_rate": 4.385276767711792e-06, + "loss": 0.7751, + "step": 29673 + }, + { + "epoch": 0.7, + "grad_norm": 1.6574948975351818, + "learning_rate": 4.384645371001236e-06, + "loss": 0.9326, + "step": 29674 + }, + { + "epoch": 0.7, + "grad_norm": 2.1169677993104705, + "learning_rate": 4.384014006985044e-06, + "loss": 0.915, + "step": 29675 + }, + { + "epoch": 0.7, + "grad_norm": 0.7457421336179737, + "learning_rate": 4.383382675666903e-06, + "loss": 0.6643, + "step": 29676 + }, + { + "epoch": 0.7, + "grad_norm": 1.6058929965530666, + "learning_rate": 4.382751377050485e-06, + "loss": 0.8365, + "step": 29677 + }, + { + "epoch": 0.7, + "grad_norm": 1.7561520849412637, + "learning_rate": 4.382120111139474e-06, + "loss": 0.9285, + "step": 29678 + }, + { + "epoch": 0.7, + "grad_norm": 1.9601641117489819, + "learning_rate": 4.3814888779375305e-06, + "loss": 0.9096, + "step": 29679 + }, + { + "epoch": 0.7, + "grad_norm": 1.5723726306140615, + "learning_rate": 4.380857677448338e-06, + "loss": 0.9345, + "step": 29680 + }, + { + "epoch": 0.7, + "grad_norm": 3.789078930614551, + "learning_rate": 4.380226509675576e-06, + "loss": 0.7908, + "step": 29681 + }, + { + "epoch": 0.7, + "grad_norm": 0.7943263559794435, + "learning_rate": 4.379595374622909e-06, + "loss": 0.7359, + "step": 29682 + }, + { + "epoch": 0.7, + "grad_norm": 1.5904794616201314, + "learning_rate": 4.378964272294022e-06, + "loss": 0.7316, + "step": 29683 + }, + { + "epoch": 0.7, + "grad_norm": 1.6354925992202745, + "learning_rate": 4.37833320269258e-06, + "loss": 0.7722, + "step": 29684 + }, + { + "epoch": 0.7, + "grad_norm": 1.4853965398523419, + "learning_rate": 4.377702165822266e-06, + "loss": 0.8938, + "step": 29685 + }, + { + "epoch": 0.7, + "grad_norm": 1.4881424863428339, + "learning_rate": 4.377071161686745e-06, + "loss": 0.8905, + "step": 29686 + }, + { + "epoch": 0.7, + "grad_norm": 0.7830085787382228, + "learning_rate": 4.376440190289703e-06, + "loss": 0.6509, + "step": 29687 + }, + { + "epoch": 0.7, + "grad_norm": 2.5710311841987106, + "learning_rate": 4.375809251634804e-06, + "loss": 0.9199, + "step": 29688 + }, + { + "epoch": 0.7, + "grad_norm": 1.5148000675467908, + "learning_rate": 4.37517834572572e-06, + "loss": 0.9092, + "step": 29689 + }, + { + "epoch": 0.7, + "grad_norm": 1.8380668164357061, + "learning_rate": 4.374547472566129e-06, + "loss": 0.8176, + "step": 29690 + }, + { + "epoch": 0.7, + "grad_norm": 1.5279610953803693, + "learning_rate": 4.373916632159708e-06, + "loss": 0.8695, + "step": 29691 + }, + { + "epoch": 0.7, + "grad_norm": 1.5497936882819767, + "learning_rate": 4.373285824510125e-06, + "loss": 0.8674, + "step": 29692 + }, + { + "epoch": 0.7, + "grad_norm": 2.787156030876152, + "learning_rate": 4.372655049621051e-06, + "loss": 0.8178, + "step": 29693 + }, + { + "epoch": 0.7, + "grad_norm": 2.10803179271768, + "learning_rate": 4.372024307496159e-06, + "loss": 0.8864, + "step": 29694 + }, + { + "epoch": 0.7, + "grad_norm": 1.6546349476624242, + "learning_rate": 4.371393598139128e-06, + "loss": 0.743, + "step": 29695 + }, + { + "epoch": 0.7, + "grad_norm": 0.7859951059535624, + "learning_rate": 4.370762921553625e-06, + "loss": 0.7538, + "step": 29696 + }, + { + "epoch": 0.7, + "grad_norm": 1.9875639623317163, + "learning_rate": 4.370132277743319e-06, + "loss": 0.8114, + "step": 29697 + }, + { + "epoch": 0.7, + "grad_norm": 1.4023776267374253, + "learning_rate": 4.369501666711885e-06, + "loss": 0.8031, + "step": 29698 + }, + { + "epoch": 0.7, + "grad_norm": 1.5781805413305403, + "learning_rate": 4.368871088462998e-06, + "loss": 0.8033, + "step": 29699 + }, + { + "epoch": 0.7, + "grad_norm": 1.6702246559470217, + "learning_rate": 4.368240543000327e-06, + "loss": 0.8657, + "step": 29700 + }, + { + "epoch": 0.7, + "grad_norm": 1.5874110633483887, + "learning_rate": 4.36761003032754e-06, + "loss": 0.9573, + "step": 29701 + }, + { + "epoch": 0.7, + "grad_norm": 1.602159468004549, + "learning_rate": 4.366979550448313e-06, + "loss": 0.7803, + "step": 29702 + }, + { + "epoch": 0.7, + "grad_norm": 1.5864133963141092, + "learning_rate": 4.366349103366311e-06, + "loss": 0.7586, + "step": 29703 + }, + { + "epoch": 0.7, + "grad_norm": 1.6742935797925607, + "learning_rate": 4.365718689085211e-06, + "loss": 0.8947, + "step": 29704 + }, + { + "epoch": 0.7, + "grad_norm": 1.6373641332722277, + "learning_rate": 4.365088307608678e-06, + "loss": 0.8018, + "step": 29705 + }, + { + "epoch": 0.7, + "grad_norm": 1.721157411483098, + "learning_rate": 4.364457958940388e-06, + "loss": 0.8397, + "step": 29706 + }, + { + "epoch": 0.7, + "grad_norm": 0.7689042092964992, + "learning_rate": 4.3638276430840045e-06, + "loss": 0.7052, + "step": 29707 + }, + { + "epoch": 0.7, + "grad_norm": 1.7530799675288031, + "learning_rate": 4.363197360043204e-06, + "loss": 0.7534, + "step": 29708 + }, + { + "epoch": 0.7, + "grad_norm": 0.8029265836934028, + "learning_rate": 4.362567109821654e-06, + "loss": 0.7031, + "step": 29709 + }, + { + "epoch": 0.7, + "grad_norm": 1.739210981962636, + "learning_rate": 4.3619368924230185e-06, + "loss": 0.9335, + "step": 29710 + }, + { + "epoch": 0.7, + "grad_norm": 1.428363925150175, + "learning_rate": 4.361306707850972e-06, + "loss": 0.832, + "step": 29711 + }, + { + "epoch": 0.7, + "grad_norm": 1.6336400399945288, + "learning_rate": 4.360676556109186e-06, + "loss": 0.9033, + "step": 29712 + }, + { + "epoch": 0.7, + "grad_norm": 1.7895489905401745, + "learning_rate": 4.360046437201327e-06, + "loss": 0.8029, + "step": 29713 + }, + { + "epoch": 0.7, + "grad_norm": 1.544150283018892, + "learning_rate": 4.3594163511310596e-06, + "loss": 0.9196, + "step": 29714 + }, + { + "epoch": 0.7, + "grad_norm": 1.4784769002134, + "learning_rate": 4.358786297902056e-06, + "loss": 0.8154, + "step": 29715 + }, + { + "epoch": 0.7, + "grad_norm": 1.6010935613310748, + "learning_rate": 4.3581562775179875e-06, + "loss": 0.7524, + "step": 29716 + }, + { + "epoch": 0.7, + "grad_norm": 0.814974879088237, + "learning_rate": 4.35752628998252e-06, + "loss": 0.686, + "step": 29717 + }, + { + "epoch": 0.7, + "grad_norm": 1.648518992330305, + "learning_rate": 4.356896335299317e-06, + "loss": 0.9287, + "step": 29718 + }, + { + "epoch": 0.7, + "grad_norm": 1.7505200245671175, + "learning_rate": 4.35626641347205e-06, + "loss": 0.7599, + "step": 29719 + }, + { + "epoch": 0.7, + "grad_norm": 1.4841631708002327, + "learning_rate": 4.3556365245043905e-06, + "loss": 0.9115, + "step": 29720 + }, + { + "epoch": 0.7, + "grad_norm": 2.1407243814770753, + "learning_rate": 4.355006668400003e-06, + "loss": 0.8015, + "step": 29721 + }, + { + "epoch": 0.7, + "grad_norm": 1.835121148948915, + "learning_rate": 4.354376845162549e-06, + "loss": 0.8907, + "step": 29722 + }, + { + "epoch": 0.7, + "grad_norm": 1.5928581130208832, + "learning_rate": 4.3537470547957054e-06, + "loss": 0.9114, + "step": 29723 + }, + { + "epoch": 0.7, + "grad_norm": 1.5067246426334018, + "learning_rate": 4.353117297303129e-06, + "loss": 0.7449, + "step": 29724 + }, + { + "epoch": 0.7, + "grad_norm": 1.6103167613068998, + "learning_rate": 4.352487572688495e-06, + "loss": 0.8314, + "step": 29725 + }, + { + "epoch": 0.7, + "grad_norm": 1.5109307566593864, + "learning_rate": 4.351857880955464e-06, + "loss": 0.8395, + "step": 29726 + }, + { + "epoch": 0.7, + "grad_norm": 0.7340449592792329, + "learning_rate": 4.351228222107706e-06, + "loss": 0.7512, + "step": 29727 + }, + { + "epoch": 0.7, + "grad_norm": 1.5226148218809943, + "learning_rate": 4.350598596148884e-06, + "loss": 0.8807, + "step": 29728 + }, + { + "epoch": 0.7, + "grad_norm": 0.7457721251261156, + "learning_rate": 4.349969003082669e-06, + "loss": 0.7186, + "step": 29729 + }, + { + "epoch": 0.7, + "grad_norm": 2.3384556304075375, + "learning_rate": 4.349339442912723e-06, + "loss": 0.7947, + "step": 29730 + }, + { + "epoch": 0.7, + "grad_norm": 1.6360729562237326, + "learning_rate": 4.3487099156427075e-06, + "loss": 0.875, + "step": 29731 + }, + { + "epoch": 0.7, + "grad_norm": 1.8627571565915315, + "learning_rate": 4.348080421276293e-06, + "loss": 0.767, + "step": 29732 + }, + { + "epoch": 0.7, + "grad_norm": 1.5695881911593363, + "learning_rate": 4.347450959817146e-06, + "loss": 0.8458, + "step": 29733 + }, + { + "epoch": 0.7, + "grad_norm": 1.3968302122618985, + "learning_rate": 4.34682153126893e-06, + "loss": 0.8413, + "step": 29734 + }, + { + "epoch": 0.7, + "grad_norm": 2.3135563363057456, + "learning_rate": 4.346192135635305e-06, + "loss": 0.7685, + "step": 29735 + }, + { + "epoch": 0.7, + "grad_norm": 1.6062981990548069, + "learning_rate": 4.345562772919939e-06, + "loss": 0.9018, + "step": 29736 + }, + { + "epoch": 0.7, + "grad_norm": 1.4773366678425033, + "learning_rate": 4.344933443126501e-06, + "loss": 0.923, + "step": 29737 + }, + { + "epoch": 0.7, + "grad_norm": 1.5150072096097293, + "learning_rate": 4.344304146258651e-06, + "loss": 0.7774, + "step": 29738 + }, + { + "epoch": 0.7, + "grad_norm": 1.8743608975293833, + "learning_rate": 4.343674882320048e-06, + "loss": 0.7659, + "step": 29739 + }, + { + "epoch": 0.7, + "grad_norm": 0.7962776370087891, + "learning_rate": 4.343045651314361e-06, + "loss": 0.6753, + "step": 29740 + }, + { + "epoch": 0.7, + "grad_norm": 1.654345728254618, + "learning_rate": 4.342416453245259e-06, + "loss": 0.8516, + "step": 29741 + }, + { + "epoch": 0.7, + "grad_norm": 2.1572873868333717, + "learning_rate": 4.341787288116397e-06, + "loss": 0.8165, + "step": 29742 + }, + { + "epoch": 0.7, + "grad_norm": 1.3807492820758847, + "learning_rate": 4.341158155931437e-06, + "loss": 0.8716, + "step": 29743 + }, + { + "epoch": 0.7, + "grad_norm": 1.7061366419181279, + "learning_rate": 4.3405290566940475e-06, + "loss": 0.8435, + "step": 29744 + }, + { + "epoch": 0.7, + "grad_norm": 1.8886211325822317, + "learning_rate": 4.339899990407892e-06, + "loss": 0.8167, + "step": 29745 + }, + { + "epoch": 0.7, + "grad_norm": 1.576025228878997, + "learning_rate": 4.339270957076631e-06, + "loss": 0.9205, + "step": 29746 + }, + { + "epoch": 0.7, + "grad_norm": 1.5822375637464436, + "learning_rate": 4.338641956703923e-06, + "loss": 0.7853, + "step": 29747 + }, + { + "epoch": 0.7, + "grad_norm": 1.5091433968169632, + "learning_rate": 4.338012989293438e-06, + "loss": 0.8732, + "step": 29748 + }, + { + "epoch": 0.7, + "grad_norm": 1.7255411583477214, + "learning_rate": 4.33738405484883e-06, + "loss": 0.7994, + "step": 29749 + }, + { + "epoch": 0.7, + "grad_norm": 1.692100035464094, + "learning_rate": 4.3367551533737685e-06, + "loss": 0.7991, + "step": 29750 + }, + { + "epoch": 0.7, + "grad_norm": 1.5125502379388036, + "learning_rate": 4.336126284871908e-06, + "loss": 0.8673, + "step": 29751 + }, + { + "epoch": 0.7, + "grad_norm": 1.5858428066798458, + "learning_rate": 4.335497449346916e-06, + "loss": 0.7753, + "step": 29752 + }, + { + "epoch": 0.7, + "grad_norm": 1.6911519092315812, + "learning_rate": 4.334868646802448e-06, + "loss": 0.8743, + "step": 29753 + }, + { + "epoch": 0.7, + "grad_norm": 1.623075959098393, + "learning_rate": 4.334239877242172e-06, + "loss": 0.8822, + "step": 29754 + }, + { + "epoch": 0.7, + "grad_norm": 1.7174487805421583, + "learning_rate": 4.333611140669746e-06, + "loss": 0.9214, + "step": 29755 + }, + { + "epoch": 0.7, + "grad_norm": 1.4654031558596905, + "learning_rate": 4.332982437088825e-06, + "loss": 0.8135, + "step": 29756 + }, + { + "epoch": 0.7, + "grad_norm": 2.4346937950462015, + "learning_rate": 4.332353766503075e-06, + "loss": 0.9028, + "step": 29757 + }, + { + "epoch": 0.7, + "grad_norm": 1.6376937892931758, + "learning_rate": 4.331725128916157e-06, + "loss": 0.7558, + "step": 29758 + }, + { + "epoch": 0.7, + "grad_norm": 1.8775168092310037, + "learning_rate": 4.331096524331735e-06, + "loss": 0.7722, + "step": 29759 + }, + { + "epoch": 0.7, + "grad_norm": 1.5593767293444942, + "learning_rate": 4.330467952753458e-06, + "loss": 0.8623, + "step": 29760 + }, + { + "epoch": 0.7, + "grad_norm": 1.658816487715013, + "learning_rate": 4.329839414184991e-06, + "loss": 0.7615, + "step": 29761 + }, + { + "epoch": 0.7, + "grad_norm": 1.6448445618426923, + "learning_rate": 4.329210908629997e-06, + "loss": 0.7946, + "step": 29762 + }, + { + "epoch": 0.7, + "grad_norm": 1.5127092252144474, + "learning_rate": 4.328582436092133e-06, + "loss": 0.8901, + "step": 29763 + }, + { + "epoch": 0.7, + "grad_norm": 1.6849286312683147, + "learning_rate": 4.3279539965750535e-06, + "loss": 0.7749, + "step": 29764 + }, + { + "epoch": 0.7, + "grad_norm": 0.7766440334849115, + "learning_rate": 4.327325590082423e-06, + "loss": 0.6821, + "step": 29765 + }, + { + "epoch": 0.7, + "grad_norm": 1.4604568896144798, + "learning_rate": 4.326697216617901e-06, + "loss": 0.7786, + "step": 29766 + }, + { + "epoch": 0.7, + "grad_norm": 1.4462774426264258, + "learning_rate": 4.326068876185141e-06, + "loss": 0.7743, + "step": 29767 + }, + { + "epoch": 0.7, + "grad_norm": 1.543116505706865, + "learning_rate": 4.3254405687878075e-06, + "loss": 0.8314, + "step": 29768 + }, + { + "epoch": 0.7, + "grad_norm": 1.6235655901322266, + "learning_rate": 4.324812294429557e-06, + "loss": 0.8184, + "step": 29769 + }, + { + "epoch": 0.7, + "grad_norm": 1.6812071532312312, + "learning_rate": 4.324184053114041e-06, + "loss": 0.9545, + "step": 29770 + }, + { + "epoch": 0.7, + "grad_norm": 1.9444396296630149, + "learning_rate": 4.323555844844922e-06, + "loss": 0.9449, + "step": 29771 + }, + { + "epoch": 0.7, + "grad_norm": 1.9453312338710698, + "learning_rate": 4.3229276696258625e-06, + "loss": 0.6687, + "step": 29772 + }, + { + "epoch": 0.7, + "grad_norm": 1.8561117772741957, + "learning_rate": 4.3222995274605155e-06, + "loss": 0.7707, + "step": 29773 + }, + { + "epoch": 0.7, + "grad_norm": 1.8787916543607528, + "learning_rate": 4.321671418352534e-06, + "loss": 0.8848, + "step": 29774 + }, + { + "epoch": 0.7, + "grad_norm": 1.668565086558731, + "learning_rate": 4.3210433423055795e-06, + "loss": 0.7271, + "step": 29775 + }, + { + "epoch": 0.7, + "grad_norm": 1.3150204310688318, + "learning_rate": 4.320415299323316e-06, + "loss": 0.8579, + "step": 29776 + }, + { + "epoch": 0.7, + "grad_norm": 1.5437167727722623, + "learning_rate": 4.319787289409385e-06, + "loss": 0.8124, + "step": 29777 + }, + { + "epoch": 0.7, + "grad_norm": 1.49299924585921, + "learning_rate": 4.319159312567451e-06, + "loss": 0.8738, + "step": 29778 + }, + { + "epoch": 0.7, + "grad_norm": 1.80180882186907, + "learning_rate": 4.318531368801171e-06, + "loss": 0.775, + "step": 29779 + }, + { + "epoch": 0.7, + "grad_norm": 1.588281652660402, + "learning_rate": 4.317903458114202e-06, + "loss": 0.822, + "step": 29780 + }, + { + "epoch": 0.7, + "grad_norm": 1.8332702170116433, + "learning_rate": 4.317275580510199e-06, + "loss": 0.9483, + "step": 29781 + }, + { + "epoch": 0.7, + "grad_norm": 1.706493702472051, + "learning_rate": 4.316647735992814e-06, + "loss": 0.9846, + "step": 29782 + }, + { + "epoch": 0.7, + "grad_norm": 1.5127618528115472, + "learning_rate": 4.316019924565708e-06, + "loss": 0.8143, + "step": 29783 + }, + { + "epoch": 0.7, + "grad_norm": 2.18849782125373, + "learning_rate": 4.315392146232529e-06, + "loss": 0.8206, + "step": 29784 + }, + { + "epoch": 0.7, + "grad_norm": 1.6228307059920295, + "learning_rate": 4.31476440099694e-06, + "loss": 0.8767, + "step": 29785 + }, + { + "epoch": 0.7, + "grad_norm": 1.676880357028844, + "learning_rate": 4.31413668886259e-06, + "loss": 0.8026, + "step": 29786 + }, + { + "epoch": 0.7, + "grad_norm": 1.7652756484778802, + "learning_rate": 4.31350900983314e-06, + "loss": 0.8369, + "step": 29787 + }, + { + "epoch": 0.7, + "grad_norm": 1.6206992914312977, + "learning_rate": 4.312881363912237e-06, + "loss": 0.9066, + "step": 29788 + }, + { + "epoch": 0.7, + "grad_norm": 1.5608139057291908, + "learning_rate": 4.312253751103544e-06, + "loss": 0.9153, + "step": 29789 + }, + { + "epoch": 0.7, + "grad_norm": 1.9355724929639295, + "learning_rate": 4.311626171410707e-06, + "loss": 0.7964, + "step": 29790 + }, + { + "epoch": 0.7, + "grad_norm": 1.6495063318441314, + "learning_rate": 4.310998624837383e-06, + "loss": 0.9584, + "step": 29791 + }, + { + "epoch": 0.7, + "grad_norm": 1.6303589791635837, + "learning_rate": 4.310371111387225e-06, + "loss": 0.8404, + "step": 29792 + }, + { + "epoch": 0.7, + "grad_norm": 1.7139212585203947, + "learning_rate": 4.309743631063892e-06, + "loss": 0.8498, + "step": 29793 + }, + { + "epoch": 0.7, + "grad_norm": 1.9094253259302245, + "learning_rate": 4.309116183871032e-06, + "loss": 0.7952, + "step": 29794 + }, + { + "epoch": 0.7, + "grad_norm": 1.4913976913978908, + "learning_rate": 4.308488769812296e-06, + "loss": 0.79, + "step": 29795 + }, + { + "epoch": 0.7, + "grad_norm": 1.584140467041393, + "learning_rate": 4.30786138889134e-06, + "loss": 0.7359, + "step": 29796 + }, + { + "epoch": 0.7, + "grad_norm": 1.5722629160591153, + "learning_rate": 4.30723404111182e-06, + "loss": 0.9012, + "step": 29797 + }, + { + "epoch": 0.7, + "grad_norm": 1.6462506076543062, + "learning_rate": 4.306606726477388e-06, + "loss": 0.8577, + "step": 29798 + }, + { + "epoch": 0.7, + "grad_norm": 1.8207454082045091, + "learning_rate": 4.3059794449916896e-06, + "loss": 0.8834, + "step": 29799 + }, + { + "epoch": 0.7, + "grad_norm": 1.7409685303988751, + "learning_rate": 4.305352196658381e-06, + "loss": 0.8868, + "step": 29800 + }, + { + "epoch": 0.7, + "grad_norm": 1.7532752668009695, + "learning_rate": 4.3047249814811185e-06, + "loss": 0.8551, + "step": 29801 + }, + { + "epoch": 0.7, + "grad_norm": 1.9711315639614495, + "learning_rate": 4.30409779946355e-06, + "loss": 0.8766, + "step": 29802 + }, + { + "epoch": 0.7, + "grad_norm": 1.5501616590563827, + "learning_rate": 4.303470650609325e-06, + "loss": 0.8488, + "step": 29803 + }, + { + "epoch": 0.7, + "grad_norm": 1.6636784360701495, + "learning_rate": 4.3028435349221e-06, + "loss": 0.6917, + "step": 29804 + }, + { + "epoch": 0.7, + "grad_norm": 0.7793164404085202, + "learning_rate": 4.302216452405521e-06, + "loss": 0.7401, + "step": 29805 + }, + { + "epoch": 0.7, + "grad_norm": 2.0457807176853158, + "learning_rate": 4.301589403063244e-06, + "loss": 0.7458, + "step": 29806 + }, + { + "epoch": 0.7, + "grad_norm": 0.7954121510089593, + "learning_rate": 4.300962386898915e-06, + "loss": 0.687, + "step": 29807 + }, + { + "epoch": 0.7, + "grad_norm": 1.6261304978834628, + "learning_rate": 4.3003354039161906e-06, + "loss": 0.8684, + "step": 29808 + }, + { + "epoch": 0.7, + "grad_norm": 1.5430064935572156, + "learning_rate": 4.299708454118714e-06, + "loss": 0.7477, + "step": 29809 + }, + { + "epoch": 0.7, + "grad_norm": 1.6267061790450421, + "learning_rate": 4.299081537510143e-06, + "loss": 0.8234, + "step": 29810 + }, + { + "epoch": 0.7, + "grad_norm": 1.5682450706519473, + "learning_rate": 4.2984546540941245e-06, + "loss": 0.9065, + "step": 29811 + }, + { + "epoch": 0.7, + "grad_norm": 1.4029244275018038, + "learning_rate": 4.297827803874304e-06, + "loss": 0.7824, + "step": 29812 + }, + { + "epoch": 0.7, + "grad_norm": 1.707743042595627, + "learning_rate": 4.297200986854335e-06, + "loss": 0.8572, + "step": 29813 + }, + { + "epoch": 0.7, + "grad_norm": 0.7668107314228472, + "learning_rate": 4.296574203037872e-06, + "loss": 0.7574, + "step": 29814 + }, + { + "epoch": 0.7, + "grad_norm": 2.4437416960084564, + "learning_rate": 4.295947452428559e-06, + "loss": 0.9068, + "step": 29815 + }, + { + "epoch": 0.7, + "grad_norm": 1.5625052085804552, + "learning_rate": 4.295320735030043e-06, + "loss": 0.8864, + "step": 29816 + }, + { + "epoch": 0.7, + "grad_norm": 1.5172542179904451, + "learning_rate": 4.294694050845976e-06, + "loss": 0.9326, + "step": 29817 + }, + { + "epoch": 0.7, + "grad_norm": 1.6250283796047094, + "learning_rate": 4.294067399880009e-06, + "loss": 0.8359, + "step": 29818 + }, + { + "epoch": 0.7, + "grad_norm": 1.5534717424320872, + "learning_rate": 4.293440782135788e-06, + "loss": 0.8113, + "step": 29819 + }, + { + "epoch": 0.7, + "grad_norm": 2.205305538464568, + "learning_rate": 4.292814197616958e-06, + "loss": 0.8673, + "step": 29820 + }, + { + "epoch": 0.7, + "grad_norm": 0.803223447125344, + "learning_rate": 4.29218764632717e-06, + "loss": 0.7228, + "step": 29821 + }, + { + "epoch": 0.7, + "grad_norm": 1.7128928052236976, + "learning_rate": 4.2915611282700775e-06, + "loss": 0.8808, + "step": 29822 + }, + { + "epoch": 0.7, + "grad_norm": 1.4267126206930978, + "learning_rate": 4.290934643449324e-06, + "loss": 0.8202, + "step": 29823 + }, + { + "epoch": 0.7, + "grad_norm": 1.794243955501344, + "learning_rate": 4.290308191868551e-06, + "loss": 0.7996, + "step": 29824 + }, + { + "epoch": 0.7, + "grad_norm": 1.8335660764898052, + "learning_rate": 4.289681773531415e-06, + "loss": 0.8669, + "step": 29825 + }, + { + "epoch": 0.7, + "grad_norm": 5.400159688139081, + "learning_rate": 4.289055388441558e-06, + "loss": 0.7999, + "step": 29826 + }, + { + "epoch": 0.7, + "grad_norm": 1.5932579375496017, + "learning_rate": 4.28842903660263e-06, + "loss": 0.8359, + "step": 29827 + }, + { + "epoch": 0.7, + "grad_norm": 1.3733396536691092, + "learning_rate": 4.2878027180182745e-06, + "loss": 0.8481, + "step": 29828 + }, + { + "epoch": 0.7, + "grad_norm": 1.4734332641658117, + "learning_rate": 4.287176432692143e-06, + "loss": 0.9773, + "step": 29829 + }, + { + "epoch": 0.7, + "grad_norm": 0.7915448440955397, + "learning_rate": 4.286550180627874e-06, + "loss": 0.7185, + "step": 29830 + }, + { + "epoch": 0.7, + "grad_norm": 1.89543704055118, + "learning_rate": 4.285923961829124e-06, + "loss": 0.8817, + "step": 29831 + }, + { + "epoch": 0.7, + "grad_norm": 1.4859940012177584, + "learning_rate": 4.285297776299533e-06, + "loss": 0.8394, + "step": 29832 + }, + { + "epoch": 0.7, + "grad_norm": 0.7461364177284224, + "learning_rate": 4.284671624042744e-06, + "loss": 0.6985, + "step": 29833 + }, + { + "epoch": 0.7, + "grad_norm": 1.7149534298668248, + "learning_rate": 4.284045505062406e-06, + "loss": 0.8837, + "step": 29834 + }, + { + "epoch": 0.7, + "grad_norm": 1.4755267926492979, + "learning_rate": 4.283419419362169e-06, + "loss": 0.8611, + "step": 29835 + }, + { + "epoch": 0.7, + "grad_norm": 1.7171109390855874, + "learning_rate": 4.282793366945675e-06, + "loss": 0.8682, + "step": 29836 + }, + { + "epoch": 0.7, + "grad_norm": 1.8984341775593805, + "learning_rate": 4.282167347816562e-06, + "loss": 0.7935, + "step": 29837 + }, + { + "epoch": 0.7, + "grad_norm": 1.414300685662933, + "learning_rate": 4.281541361978483e-06, + "loss": 0.7774, + "step": 29838 + }, + { + "epoch": 0.7, + "grad_norm": 0.8156576228151903, + "learning_rate": 4.280915409435084e-06, + "loss": 0.7442, + "step": 29839 + }, + { + "epoch": 0.7, + "grad_norm": 1.5357622013774905, + "learning_rate": 4.280289490190005e-06, + "loss": 0.8527, + "step": 29840 + }, + { + "epoch": 0.7, + "grad_norm": 1.4624923820830844, + "learning_rate": 4.279663604246888e-06, + "loss": 0.8583, + "step": 29841 + }, + { + "epoch": 0.7, + "grad_norm": 0.8518069451399336, + "learning_rate": 4.27903775160938e-06, + "loss": 0.7968, + "step": 29842 + }, + { + "epoch": 0.7, + "grad_norm": 1.6101356793440889, + "learning_rate": 4.27841193228113e-06, + "loss": 0.8527, + "step": 29843 + }, + { + "epoch": 0.7, + "grad_norm": 1.7489656632046378, + "learning_rate": 4.277786146265778e-06, + "loss": 0.6958, + "step": 29844 + }, + { + "epoch": 0.7, + "grad_norm": 2.0001474371318038, + "learning_rate": 4.277160393566962e-06, + "loss": 1.0184, + "step": 29845 + }, + { + "epoch": 0.7, + "grad_norm": 0.7699631550980933, + "learning_rate": 4.2765346741883325e-06, + "loss": 0.6888, + "step": 29846 + }, + { + "epoch": 0.7, + "grad_norm": 1.506626264655863, + "learning_rate": 4.275908988133528e-06, + "loss": 0.8478, + "step": 29847 + }, + { + "epoch": 0.7, + "grad_norm": 1.3711766424205076, + "learning_rate": 4.275283335406197e-06, + "loss": 0.7568, + "step": 29848 + }, + { + "epoch": 0.7, + "grad_norm": 1.77709135517295, + "learning_rate": 4.274657716009976e-06, + "loss": 0.9293, + "step": 29849 + }, + { + "epoch": 0.7, + "grad_norm": 1.7468920401884211, + "learning_rate": 4.274032129948512e-06, + "loss": 0.8662, + "step": 29850 + }, + { + "epoch": 0.7, + "grad_norm": 0.7866333456279607, + "learning_rate": 4.273406577225444e-06, + "loss": 0.7442, + "step": 29851 + }, + { + "epoch": 0.7, + "grad_norm": 2.6314085011712995, + "learning_rate": 4.272781057844418e-06, + "loss": 0.8935, + "step": 29852 + }, + { + "epoch": 0.7, + "grad_norm": 1.633973851601499, + "learning_rate": 4.272155571809076e-06, + "loss": 0.9481, + "step": 29853 + }, + { + "epoch": 0.7, + "grad_norm": 1.5718430595615625, + "learning_rate": 4.271530119123052e-06, + "loss": 0.8701, + "step": 29854 + }, + { + "epoch": 0.7, + "grad_norm": 1.4748419144888825, + "learning_rate": 4.270904699789994e-06, + "loss": 0.7219, + "step": 29855 + }, + { + "epoch": 0.7, + "grad_norm": 1.5711173492133614, + "learning_rate": 4.270279313813542e-06, + "loss": 0.9781, + "step": 29856 + }, + { + "epoch": 0.7, + "grad_norm": 1.5726114224332883, + "learning_rate": 4.269653961197346e-06, + "loss": 0.8119, + "step": 29857 + }, + { + "epoch": 0.7, + "grad_norm": 1.8110693259414898, + "learning_rate": 4.269028641945032e-06, + "loss": 0.7801, + "step": 29858 + }, + { + "epoch": 0.7, + "grad_norm": 1.7800902790257267, + "learning_rate": 4.2684033560602465e-06, + "loss": 0.7599, + "step": 29859 + }, + { + "epoch": 0.7, + "grad_norm": 1.7142664415283406, + "learning_rate": 4.267778103546632e-06, + "loss": 0.88, + "step": 29860 + }, + { + "epoch": 0.7, + "grad_norm": 1.6759327299734441, + "learning_rate": 4.267152884407835e-06, + "loss": 0.8754, + "step": 29861 + }, + { + "epoch": 0.7, + "grad_norm": 1.5589530684952235, + "learning_rate": 4.266527698647482e-06, + "loss": 0.8926, + "step": 29862 + }, + { + "epoch": 0.7, + "grad_norm": 1.9112277865324028, + "learning_rate": 4.265902546269219e-06, + "loss": 0.8295, + "step": 29863 + }, + { + "epoch": 0.7, + "grad_norm": 2.516634201845017, + "learning_rate": 4.265277427276692e-06, + "loss": 0.8456, + "step": 29864 + }, + { + "epoch": 0.7, + "grad_norm": 1.568647466926971, + "learning_rate": 4.264652341673531e-06, + "loss": 0.9016, + "step": 29865 + }, + { + "epoch": 0.7, + "grad_norm": 1.8008462858002106, + "learning_rate": 4.2640272894633825e-06, + "loss": 0.8901, + "step": 29866 + }, + { + "epoch": 0.7, + "grad_norm": 1.6738617438207095, + "learning_rate": 4.2634022706498815e-06, + "loss": 0.7678, + "step": 29867 + }, + { + "epoch": 0.7, + "grad_norm": 1.6982297533223354, + "learning_rate": 4.26277728523667e-06, + "loss": 0.8354, + "step": 29868 + }, + { + "epoch": 0.7, + "grad_norm": 1.4289019556613873, + "learning_rate": 4.262152333227383e-06, + "loss": 0.8319, + "step": 29869 + }, + { + "epoch": 0.7, + "grad_norm": 1.7087905064871416, + "learning_rate": 4.2615274146256654e-06, + "loss": 0.9719, + "step": 29870 + }, + { + "epoch": 0.7, + "grad_norm": 1.6813950847946983, + "learning_rate": 4.2609025294351525e-06, + "loss": 0.8374, + "step": 29871 + }, + { + "epoch": 0.7, + "grad_norm": 1.7600798262369914, + "learning_rate": 4.260277677659477e-06, + "loss": 0.8035, + "step": 29872 + }, + { + "epoch": 0.7, + "grad_norm": 1.6319840998414559, + "learning_rate": 4.2596528593022835e-06, + "loss": 0.6729, + "step": 29873 + }, + { + "epoch": 0.7, + "grad_norm": 1.9556651391120972, + "learning_rate": 4.259028074367211e-06, + "loss": 0.9208, + "step": 29874 + }, + { + "epoch": 0.7, + "grad_norm": 0.8335861502635193, + "learning_rate": 4.258403322857895e-06, + "loss": 0.7444, + "step": 29875 + }, + { + "epoch": 0.7, + "grad_norm": 1.6809323321413407, + "learning_rate": 4.257778604777969e-06, + "loss": 0.8245, + "step": 29876 + }, + { + "epoch": 0.7, + "grad_norm": 1.7578222437595148, + "learning_rate": 4.257153920131074e-06, + "loss": 0.9285, + "step": 29877 + }, + { + "epoch": 0.7, + "grad_norm": 1.506299984724778, + "learning_rate": 4.256529268920851e-06, + "loss": 0.7961, + "step": 29878 + }, + { + "epoch": 0.7, + "grad_norm": 1.7118394255552534, + "learning_rate": 4.255904651150931e-06, + "loss": 0.7921, + "step": 29879 + }, + { + "epoch": 0.7, + "grad_norm": 1.5059377968609722, + "learning_rate": 4.255280066824952e-06, + "loss": 0.7398, + "step": 29880 + }, + { + "epoch": 0.7, + "grad_norm": 1.5900035360918756, + "learning_rate": 4.254655515946549e-06, + "loss": 0.8206, + "step": 29881 + }, + { + "epoch": 0.7, + "grad_norm": 1.608656144696459, + "learning_rate": 4.254030998519365e-06, + "loss": 0.8073, + "step": 29882 + }, + { + "epoch": 0.7, + "grad_norm": 2.0081250644899336, + "learning_rate": 4.253406514547031e-06, + "loss": 0.8593, + "step": 29883 + }, + { + "epoch": 0.7, + "grad_norm": 1.5136624794330023, + "learning_rate": 4.25278206403318e-06, + "loss": 0.7209, + "step": 29884 + }, + { + "epoch": 0.7, + "grad_norm": 1.8036094052941392, + "learning_rate": 4.252157646981457e-06, + "loss": 0.8266, + "step": 29885 + }, + { + "epoch": 0.7, + "grad_norm": 1.4934465051027928, + "learning_rate": 4.251533263395486e-06, + "loss": 0.7725, + "step": 29886 + }, + { + "epoch": 0.7, + "grad_norm": 3.188903207908654, + "learning_rate": 4.2509089132789126e-06, + "loss": 0.8224, + "step": 29887 + }, + { + "epoch": 0.7, + "grad_norm": 1.7502412829586629, + "learning_rate": 4.250284596635365e-06, + "loss": 0.8066, + "step": 29888 + }, + { + "epoch": 0.7, + "grad_norm": 1.67934879496185, + "learning_rate": 4.249660313468483e-06, + "loss": 0.8284, + "step": 29889 + }, + { + "epoch": 0.7, + "grad_norm": 1.5648878443764285, + "learning_rate": 4.2490360637818965e-06, + "loss": 0.788, + "step": 29890 + }, + { + "epoch": 0.7, + "grad_norm": 1.9854780401725647, + "learning_rate": 4.248411847579245e-06, + "loss": 0.8974, + "step": 29891 + }, + { + "epoch": 0.7, + "grad_norm": 1.3864763554257944, + "learning_rate": 4.247787664864163e-06, + "loss": 0.9285, + "step": 29892 + }, + { + "epoch": 0.7, + "grad_norm": 1.5190128217205245, + "learning_rate": 4.247163515640277e-06, + "loss": 0.7722, + "step": 29893 + }, + { + "epoch": 0.7, + "grad_norm": 1.697795649816355, + "learning_rate": 4.2465393999112256e-06, + "loss": 0.881, + "step": 29894 + }, + { + "epoch": 0.7, + "grad_norm": 1.4440282495492043, + "learning_rate": 4.245915317680649e-06, + "loss": 0.7815, + "step": 29895 + }, + { + "epoch": 0.7, + "grad_norm": 1.6589090642717021, + "learning_rate": 4.245291268952174e-06, + "loss": 0.7515, + "step": 29896 + }, + { + "epoch": 0.7, + "grad_norm": 1.7543745114236369, + "learning_rate": 4.244667253729431e-06, + "loss": 0.9084, + "step": 29897 + }, + { + "epoch": 0.7, + "grad_norm": 1.6040043213595547, + "learning_rate": 4.244043272016059e-06, + "loss": 0.845, + "step": 29898 + }, + { + "epoch": 0.7, + "grad_norm": 1.4007946906865096, + "learning_rate": 4.243419323815692e-06, + "loss": 0.7601, + "step": 29899 + }, + { + "epoch": 0.7, + "grad_norm": 1.6366573838584462, + "learning_rate": 4.24279540913196e-06, + "loss": 0.8162, + "step": 29900 + }, + { + "epoch": 0.7, + "grad_norm": 1.5348076585741164, + "learning_rate": 4.242171527968492e-06, + "loss": 0.857, + "step": 29901 + }, + { + "epoch": 0.7, + "grad_norm": 1.612298370568599, + "learning_rate": 4.241547680328924e-06, + "loss": 0.8248, + "step": 29902 + }, + { + "epoch": 0.7, + "grad_norm": 1.7313907459243223, + "learning_rate": 4.240923866216894e-06, + "loss": 0.8398, + "step": 29903 + }, + { + "epoch": 0.7, + "grad_norm": 2.23239760172385, + "learning_rate": 4.240300085636027e-06, + "loss": 0.8037, + "step": 29904 + }, + { + "epoch": 0.7, + "grad_norm": 1.6189092161862737, + "learning_rate": 4.239676338589953e-06, + "loss": 0.7971, + "step": 29905 + }, + { + "epoch": 0.7, + "grad_norm": 1.4026638080387892, + "learning_rate": 4.239052625082311e-06, + "loss": 0.8145, + "step": 29906 + }, + { + "epoch": 0.7, + "grad_norm": 1.5535529042500587, + "learning_rate": 4.238428945116725e-06, + "loss": 0.8112, + "step": 29907 + }, + { + "epoch": 0.7, + "grad_norm": 1.9061185543557744, + "learning_rate": 4.237805298696832e-06, + "loss": 0.8313, + "step": 29908 + }, + { + "epoch": 0.7, + "grad_norm": 0.7599986830245516, + "learning_rate": 4.23718168582626e-06, + "loss": 0.6816, + "step": 29909 + }, + { + "epoch": 0.7, + "grad_norm": 1.4139877727772834, + "learning_rate": 4.236558106508641e-06, + "loss": 0.7042, + "step": 29910 + }, + { + "epoch": 0.7, + "grad_norm": 1.7854233244345366, + "learning_rate": 4.235934560747604e-06, + "loss": 0.8438, + "step": 29911 + }, + { + "epoch": 0.7, + "grad_norm": 1.5672615391318991, + "learning_rate": 4.2353110485467845e-06, + "loss": 0.8828, + "step": 29912 + }, + { + "epoch": 0.7, + "grad_norm": 1.8743290895748816, + "learning_rate": 4.234687569909808e-06, + "loss": 0.6081, + "step": 29913 + }, + { + "epoch": 0.7, + "grad_norm": 1.7198237158513472, + "learning_rate": 4.234064124840302e-06, + "loss": 0.9288, + "step": 29914 + }, + { + "epoch": 0.7, + "grad_norm": 1.431472355183374, + "learning_rate": 4.233440713341901e-06, + "loss": 0.9172, + "step": 29915 + }, + { + "epoch": 0.7, + "grad_norm": 2.114489913984776, + "learning_rate": 4.232817335418236e-06, + "loss": 0.769, + "step": 29916 + }, + { + "epoch": 0.7, + "grad_norm": 1.633674362481389, + "learning_rate": 4.232193991072937e-06, + "loss": 0.8628, + "step": 29917 + }, + { + "epoch": 0.7, + "grad_norm": 1.5616657534124636, + "learning_rate": 4.231570680309626e-06, + "loss": 0.7939, + "step": 29918 + }, + { + "epoch": 0.7, + "grad_norm": 1.5499271912358972, + "learning_rate": 4.230947403131935e-06, + "loss": 0.8066, + "step": 29919 + }, + { + "epoch": 0.7, + "grad_norm": 0.7883475956413291, + "learning_rate": 4.2303241595435e-06, + "loss": 0.7291, + "step": 29920 + }, + { + "epoch": 0.7, + "grad_norm": 1.4536734465190313, + "learning_rate": 4.229700949547944e-06, + "loss": 0.8161, + "step": 29921 + }, + { + "epoch": 0.7, + "grad_norm": 1.6252087181038066, + "learning_rate": 4.229077773148892e-06, + "loss": 0.7656, + "step": 29922 + }, + { + "epoch": 0.7, + "grad_norm": 1.5501548864791967, + "learning_rate": 4.228454630349977e-06, + "loss": 0.7416, + "step": 29923 + }, + { + "epoch": 0.7, + "grad_norm": 1.5861121906752074, + "learning_rate": 4.227831521154829e-06, + "loss": 0.8959, + "step": 29924 + }, + { + "epoch": 0.71, + "grad_norm": 1.5433577095192077, + "learning_rate": 4.227208445567075e-06, + "loss": 0.8317, + "step": 29925 + }, + { + "epoch": 0.71, + "grad_norm": 1.4639950381345943, + "learning_rate": 4.226585403590335e-06, + "loss": 0.8036, + "step": 29926 + }, + { + "epoch": 0.71, + "grad_norm": 0.7632463887974926, + "learning_rate": 4.225962395228248e-06, + "loss": 0.6921, + "step": 29927 + }, + { + "epoch": 0.71, + "grad_norm": 1.56615175474569, + "learning_rate": 4.225339420484432e-06, + "loss": 0.9064, + "step": 29928 + }, + { + "epoch": 0.71, + "grad_norm": 1.6276309855655628, + "learning_rate": 4.224716479362521e-06, + "loss": 0.8162, + "step": 29929 + }, + { + "epoch": 0.71, + "grad_norm": 1.9714599181372443, + "learning_rate": 4.2240935718661365e-06, + "loss": 0.9137, + "step": 29930 + }, + { + "epoch": 0.71, + "grad_norm": 1.6913910944187531, + "learning_rate": 4.223470697998911e-06, + "loss": 0.6879, + "step": 29931 + }, + { + "epoch": 0.71, + "grad_norm": 1.68497369989913, + "learning_rate": 4.222847857764464e-06, + "loss": 0.8837, + "step": 29932 + }, + { + "epoch": 0.71, + "grad_norm": 1.7725068883417239, + "learning_rate": 4.22222505116643e-06, + "loss": 0.9094, + "step": 29933 + }, + { + "epoch": 0.71, + "grad_norm": 1.8057888567423088, + "learning_rate": 4.221602278208431e-06, + "loss": 0.8264, + "step": 29934 + }, + { + "epoch": 0.71, + "grad_norm": 1.7796578156672993, + "learning_rate": 4.220979538894089e-06, + "loss": 0.7848, + "step": 29935 + }, + { + "epoch": 0.71, + "grad_norm": 0.7562539531368857, + "learning_rate": 4.220356833227034e-06, + "loss": 0.7356, + "step": 29936 + }, + { + "epoch": 0.71, + "grad_norm": 2.06841381035024, + "learning_rate": 4.2197341612108944e-06, + "loss": 0.7999, + "step": 29937 + }, + { + "epoch": 0.71, + "grad_norm": 1.6844676316106901, + "learning_rate": 4.219111522849293e-06, + "loss": 0.8164, + "step": 29938 + }, + { + "epoch": 0.71, + "grad_norm": 1.534068910601655, + "learning_rate": 4.21848891814585e-06, + "loss": 0.7444, + "step": 29939 + }, + { + "epoch": 0.71, + "grad_norm": 1.729413094972385, + "learning_rate": 4.217866347104196e-06, + "loss": 0.8766, + "step": 29940 + }, + { + "epoch": 0.71, + "grad_norm": 1.5376974323994699, + "learning_rate": 4.217243809727958e-06, + "loss": 0.8642, + "step": 29941 + }, + { + "epoch": 0.71, + "grad_norm": 1.5373745378132537, + "learning_rate": 4.216621306020757e-06, + "loss": 0.8815, + "step": 29942 + }, + { + "epoch": 0.71, + "grad_norm": 1.498389239170019, + "learning_rate": 4.215998835986215e-06, + "loss": 0.8667, + "step": 29943 + }, + { + "epoch": 0.71, + "grad_norm": 1.9470003958609363, + "learning_rate": 4.215376399627959e-06, + "loss": 0.9398, + "step": 29944 + }, + { + "epoch": 0.71, + "grad_norm": 1.7516165802671413, + "learning_rate": 4.214753996949616e-06, + "loss": 0.7938, + "step": 29945 + }, + { + "epoch": 0.71, + "grad_norm": 0.7844118960859484, + "learning_rate": 4.2141316279548065e-06, + "loss": 0.6992, + "step": 29946 + }, + { + "epoch": 0.71, + "grad_norm": 1.727772245538109, + "learning_rate": 4.21350929264715e-06, + "loss": 0.8769, + "step": 29947 + }, + { + "epoch": 0.71, + "grad_norm": 1.676688590135117, + "learning_rate": 4.21288699103028e-06, + "loss": 0.9046, + "step": 29948 + }, + { + "epoch": 0.71, + "grad_norm": 1.3995251027956495, + "learning_rate": 4.21226472310781e-06, + "loss": 0.8381, + "step": 29949 + }, + { + "epoch": 0.71, + "grad_norm": 1.7714820930836637, + "learning_rate": 4.211642488883369e-06, + "loss": 0.6914, + "step": 29950 + }, + { + "epoch": 0.71, + "grad_norm": 2.0573702293352714, + "learning_rate": 4.211020288360576e-06, + "loss": 0.7965, + "step": 29951 + }, + { + "epoch": 0.71, + "grad_norm": 1.6058576039276897, + "learning_rate": 4.210398121543059e-06, + "loss": 0.696, + "step": 29952 + }, + { + "epoch": 0.71, + "grad_norm": 1.8514205806016775, + "learning_rate": 4.2097759884344335e-06, + "loss": 0.9367, + "step": 29953 + }, + { + "epoch": 0.71, + "grad_norm": 1.5412455382242585, + "learning_rate": 4.209153889038325e-06, + "loss": 0.8437, + "step": 29954 + }, + { + "epoch": 0.71, + "grad_norm": 1.5742839070663528, + "learning_rate": 4.208531823358364e-06, + "loss": 0.9416, + "step": 29955 + }, + { + "epoch": 0.71, + "grad_norm": 1.6970363896896228, + "learning_rate": 4.207909791398156e-06, + "loss": 0.741, + "step": 29956 + }, + { + "epoch": 0.71, + "grad_norm": 0.7735555886329728, + "learning_rate": 4.207287793161332e-06, + "loss": 0.7365, + "step": 29957 + }, + { + "epoch": 0.71, + "grad_norm": 1.7138171402302407, + "learning_rate": 4.2066658286515115e-06, + "loss": 0.7199, + "step": 29958 + }, + { + "epoch": 0.71, + "grad_norm": 1.5488323408202644, + "learning_rate": 4.206043897872324e-06, + "loss": 0.7665, + "step": 29959 + }, + { + "epoch": 0.71, + "grad_norm": 0.7208954181449816, + "learning_rate": 4.2054220008273765e-06, + "loss": 0.72, + "step": 29960 + }, + { + "epoch": 0.71, + "grad_norm": 1.5617412679640723, + "learning_rate": 4.204800137520296e-06, + "loss": 0.9006, + "step": 29961 + }, + { + "epoch": 0.71, + "grad_norm": 1.5291620531324723, + "learning_rate": 4.204178307954708e-06, + "loss": 0.9077, + "step": 29962 + }, + { + "epoch": 0.71, + "grad_norm": 1.6963043570275071, + "learning_rate": 4.203556512134225e-06, + "loss": 0.8578, + "step": 29963 + }, + { + "epoch": 0.71, + "grad_norm": 1.5586466597454958, + "learning_rate": 4.202934750062475e-06, + "loss": 0.8525, + "step": 29964 + }, + { + "epoch": 0.71, + "grad_norm": 0.7829483228026864, + "learning_rate": 4.202313021743071e-06, + "loss": 0.7723, + "step": 29965 + }, + { + "epoch": 0.71, + "grad_norm": 3.039140084711358, + "learning_rate": 4.201691327179639e-06, + "loss": 0.8093, + "step": 29966 + }, + { + "epoch": 0.71, + "grad_norm": 1.5230858584183573, + "learning_rate": 4.201069666375792e-06, + "loss": 0.7934, + "step": 29967 + }, + { + "epoch": 0.71, + "grad_norm": 0.765426536273967, + "learning_rate": 4.2004480393351565e-06, + "loss": 0.7241, + "step": 29968 + }, + { + "epoch": 0.71, + "grad_norm": 3.5684907566986883, + "learning_rate": 4.19982644606135e-06, + "loss": 0.852, + "step": 29969 + }, + { + "epoch": 0.71, + "grad_norm": 2.166447709074528, + "learning_rate": 4.199204886557986e-06, + "loss": 0.8517, + "step": 29970 + }, + { + "epoch": 0.71, + "grad_norm": 1.5832592549666686, + "learning_rate": 4.198583360828688e-06, + "loss": 0.8463, + "step": 29971 + }, + { + "epoch": 0.71, + "grad_norm": 1.6504387359512342, + "learning_rate": 4.197961868877078e-06, + "loss": 0.8347, + "step": 29972 + }, + { + "epoch": 0.71, + "grad_norm": 0.7320185263556189, + "learning_rate": 4.19734041070677e-06, + "loss": 0.7042, + "step": 29973 + }, + { + "epoch": 0.71, + "grad_norm": 1.604240744087504, + "learning_rate": 4.19671898632138e-06, + "loss": 0.9238, + "step": 29974 + }, + { + "epoch": 0.71, + "grad_norm": 2.8164784296902146, + "learning_rate": 4.1960975957245285e-06, + "loss": 0.8659, + "step": 29975 + }, + { + "epoch": 0.71, + "grad_norm": 1.6854994199179139, + "learning_rate": 4.19547623891984e-06, + "loss": 0.8495, + "step": 29976 + }, + { + "epoch": 0.71, + "grad_norm": 2.170019591235002, + "learning_rate": 4.194854915910925e-06, + "loss": 0.8866, + "step": 29977 + }, + { + "epoch": 0.71, + "grad_norm": 1.5449571097973052, + "learning_rate": 4.194233626701399e-06, + "loss": 0.7959, + "step": 29978 + }, + { + "epoch": 0.71, + "grad_norm": 1.7918106359541408, + "learning_rate": 4.193612371294883e-06, + "loss": 0.8211, + "step": 29979 + }, + { + "epoch": 0.71, + "grad_norm": 1.5128446073798105, + "learning_rate": 4.1929911496949985e-06, + "loss": 0.8247, + "step": 29980 + }, + { + "epoch": 0.71, + "grad_norm": 1.5361769586729233, + "learning_rate": 4.192369961905357e-06, + "loss": 0.9444, + "step": 29981 + }, + { + "epoch": 0.71, + "grad_norm": 1.6584423952699408, + "learning_rate": 4.1917488079295735e-06, + "loss": 0.9505, + "step": 29982 + }, + { + "epoch": 0.71, + "grad_norm": 2.1013181736843976, + "learning_rate": 4.191127687771266e-06, + "loss": 0.9023, + "step": 29983 + }, + { + "epoch": 0.71, + "grad_norm": 1.4890208139973804, + "learning_rate": 4.190506601434057e-06, + "loss": 0.8166, + "step": 29984 + }, + { + "epoch": 0.71, + "grad_norm": 1.6968976844506833, + "learning_rate": 4.1898855489215574e-06, + "loss": 0.7584, + "step": 29985 + }, + { + "epoch": 0.71, + "grad_norm": 1.6287372480749973, + "learning_rate": 4.18926453023738e-06, + "loss": 0.8626, + "step": 29986 + }, + { + "epoch": 0.71, + "grad_norm": 1.5968390262058265, + "learning_rate": 4.188643545385148e-06, + "loss": 0.8968, + "step": 29987 + }, + { + "epoch": 0.71, + "grad_norm": 1.6408237492288433, + "learning_rate": 4.1880225943684695e-06, + "loss": 1.0125, + "step": 29988 + }, + { + "epoch": 0.71, + "grad_norm": 1.5067625396421613, + "learning_rate": 4.187401677190966e-06, + "loss": 0.8805, + "step": 29989 + }, + { + "epoch": 0.71, + "grad_norm": 1.4225814939558048, + "learning_rate": 4.186780793856247e-06, + "loss": 0.8434, + "step": 29990 + }, + { + "epoch": 0.71, + "grad_norm": 1.6128654165594982, + "learning_rate": 4.186159944367936e-06, + "loss": 0.7028, + "step": 29991 + }, + { + "epoch": 0.71, + "grad_norm": 1.6308309126593128, + "learning_rate": 4.185539128729636e-06, + "loss": 0.8519, + "step": 29992 + }, + { + "epoch": 0.71, + "grad_norm": 1.6427057608541118, + "learning_rate": 4.184918346944974e-06, + "loss": 0.7167, + "step": 29993 + }, + { + "epoch": 0.71, + "grad_norm": 3.7233410602276518, + "learning_rate": 4.1842975990175575e-06, + "loss": 1.0307, + "step": 29994 + }, + { + "epoch": 0.71, + "grad_norm": 1.7998711641120664, + "learning_rate": 4.183676884950998e-06, + "loss": 0.7754, + "step": 29995 + }, + { + "epoch": 0.71, + "grad_norm": 1.4754899820852516, + "learning_rate": 4.183056204748913e-06, + "loss": 0.8792, + "step": 29996 + }, + { + "epoch": 0.71, + "grad_norm": 2.5807880819777558, + "learning_rate": 4.18243555841492e-06, + "loss": 0.8711, + "step": 29997 + }, + { + "epoch": 0.71, + "grad_norm": 1.5546382863391026, + "learning_rate": 4.181814945952629e-06, + "loss": 0.8035, + "step": 29998 + }, + { + "epoch": 0.71, + "grad_norm": 1.524321653369705, + "learning_rate": 4.18119436736565e-06, + "loss": 0.8296, + "step": 29999 + }, + { + "epoch": 0.71, + "grad_norm": 1.5821904957171629, + "learning_rate": 4.1805738226575995e-06, + "loss": 0.6999, + "step": 30000 + }, + { + "epoch": 0.71, + "grad_norm": 1.5125549900008726, + "learning_rate": 4.179953311832094e-06, + "loss": 0.7841, + "step": 30001 + }, + { + "epoch": 0.71, + "grad_norm": 2.6514403449792345, + "learning_rate": 4.179332834892743e-06, + "loss": 0.9097, + "step": 30002 + }, + { + "epoch": 0.71, + "grad_norm": 0.7999939098453178, + "learning_rate": 4.178712391843156e-06, + "loss": 0.7362, + "step": 30003 + }, + { + "epoch": 0.71, + "grad_norm": 1.569604852675638, + "learning_rate": 4.178091982686948e-06, + "loss": 0.7475, + "step": 30004 + }, + { + "epoch": 0.71, + "grad_norm": 1.6684520219404464, + "learning_rate": 4.177471607427736e-06, + "loss": 0.8686, + "step": 30005 + }, + { + "epoch": 0.71, + "grad_norm": 1.6543423229877234, + "learning_rate": 4.176851266069126e-06, + "loss": 0.8695, + "step": 30006 + }, + { + "epoch": 0.71, + "grad_norm": 1.6299967895949103, + "learning_rate": 4.176230958614729e-06, + "loss": 0.9057, + "step": 30007 + }, + { + "epoch": 0.71, + "grad_norm": 1.7675148521046133, + "learning_rate": 4.1756106850681624e-06, + "loss": 0.9441, + "step": 30008 + }, + { + "epoch": 0.71, + "grad_norm": 1.5284543370363677, + "learning_rate": 4.174990445433032e-06, + "loss": 0.8168, + "step": 30009 + }, + { + "epoch": 0.71, + "grad_norm": 2.135847647847564, + "learning_rate": 4.174370239712952e-06, + "loss": 0.7318, + "step": 30010 + }, + { + "epoch": 0.71, + "grad_norm": 1.676269302293838, + "learning_rate": 4.173750067911532e-06, + "loss": 0.793, + "step": 30011 + }, + { + "epoch": 0.71, + "grad_norm": 1.5775490941312817, + "learning_rate": 4.173129930032387e-06, + "loss": 0.9016, + "step": 30012 + }, + { + "epoch": 0.71, + "grad_norm": 1.728484765834051, + "learning_rate": 4.17250982607912e-06, + "loss": 0.836, + "step": 30013 + }, + { + "epoch": 0.71, + "grad_norm": 1.4220012732396285, + "learning_rate": 4.17188975605535e-06, + "loss": 0.8588, + "step": 30014 + }, + { + "epoch": 0.71, + "grad_norm": 1.481594548884287, + "learning_rate": 4.171269719964681e-06, + "loss": 0.8317, + "step": 30015 + }, + { + "epoch": 0.71, + "grad_norm": 1.5977827272522693, + "learning_rate": 4.170649717810723e-06, + "loss": 0.8672, + "step": 30016 + }, + { + "epoch": 0.71, + "grad_norm": 1.8056972665271458, + "learning_rate": 4.170029749597087e-06, + "loss": 0.8917, + "step": 30017 + }, + { + "epoch": 0.71, + "grad_norm": 1.656239476056616, + "learning_rate": 4.169409815327388e-06, + "loss": 0.8409, + "step": 30018 + }, + { + "epoch": 0.71, + "grad_norm": 1.8011710749028, + "learning_rate": 4.168789915005233e-06, + "loss": 0.7138, + "step": 30019 + }, + { + "epoch": 0.71, + "grad_norm": 1.5695775764338293, + "learning_rate": 4.168170048634223e-06, + "loss": 0.8281, + "step": 30020 + }, + { + "epoch": 0.71, + "grad_norm": 0.7456019120968426, + "learning_rate": 4.167550216217974e-06, + "loss": 0.6856, + "step": 30021 + }, + { + "epoch": 0.71, + "grad_norm": 1.5322864681187311, + "learning_rate": 4.1669304177600964e-06, + "loss": 0.7796, + "step": 30022 + }, + { + "epoch": 0.71, + "grad_norm": 1.4278179964408704, + "learning_rate": 4.166310653264199e-06, + "loss": 0.9206, + "step": 30023 + }, + { + "epoch": 0.71, + "grad_norm": 1.6774827005946973, + "learning_rate": 4.1656909227338826e-06, + "loss": 0.8741, + "step": 30024 + }, + { + "epoch": 0.71, + "grad_norm": 1.6289991234134915, + "learning_rate": 4.1650712261727614e-06, + "loss": 0.8841, + "step": 30025 + }, + { + "epoch": 0.71, + "grad_norm": 2.9304080037423907, + "learning_rate": 4.164451563584446e-06, + "loss": 0.9299, + "step": 30026 + }, + { + "epoch": 0.71, + "grad_norm": 1.435873164184879, + "learning_rate": 4.163831934972541e-06, + "loss": 0.7335, + "step": 30027 + }, + { + "epoch": 0.71, + "grad_norm": 1.5040445247548448, + "learning_rate": 4.163212340340651e-06, + "loss": 0.8809, + "step": 30028 + }, + { + "epoch": 0.71, + "grad_norm": 1.7768254893099176, + "learning_rate": 4.16259277969239e-06, + "loss": 0.9434, + "step": 30029 + }, + { + "epoch": 0.71, + "grad_norm": 1.600084421253995, + "learning_rate": 4.161973253031359e-06, + "loss": 0.8398, + "step": 30030 + }, + { + "epoch": 0.71, + "grad_norm": 1.7826266368806942, + "learning_rate": 4.161353760361171e-06, + "loss": 0.7231, + "step": 30031 + }, + { + "epoch": 0.71, + "grad_norm": 1.5153300506482423, + "learning_rate": 4.160734301685427e-06, + "loss": 0.7533, + "step": 30032 + }, + { + "epoch": 0.71, + "grad_norm": 1.5942266075326108, + "learning_rate": 4.160114877007739e-06, + "loss": 0.7227, + "step": 30033 + }, + { + "epoch": 0.71, + "grad_norm": 2.117130485341364, + "learning_rate": 4.159495486331708e-06, + "loss": 0.7927, + "step": 30034 + }, + { + "epoch": 0.71, + "grad_norm": 1.7006619888713663, + "learning_rate": 4.1588761296609485e-06, + "loss": 0.8394, + "step": 30035 + }, + { + "epoch": 0.71, + "grad_norm": 1.6378359466065622, + "learning_rate": 4.158256806999059e-06, + "loss": 0.8096, + "step": 30036 + }, + { + "epoch": 0.71, + "grad_norm": 1.5069194877810812, + "learning_rate": 4.157637518349646e-06, + "loss": 0.775, + "step": 30037 + }, + { + "epoch": 0.71, + "grad_norm": 1.6736509602046412, + "learning_rate": 4.1570182637163155e-06, + "loss": 0.7765, + "step": 30038 + }, + { + "epoch": 0.71, + "grad_norm": 1.662353430065327, + "learning_rate": 4.156399043102675e-06, + "loss": 0.7793, + "step": 30039 + }, + { + "epoch": 0.71, + "grad_norm": 1.8762764763127768, + "learning_rate": 4.155779856512338e-06, + "loss": 0.8293, + "step": 30040 + }, + { + "epoch": 0.71, + "grad_norm": 1.8258099611390801, + "learning_rate": 4.155160703948892e-06, + "loss": 0.8538, + "step": 30041 + }, + { + "epoch": 0.71, + "grad_norm": 1.5104747067604747, + "learning_rate": 4.154541585415951e-06, + "loss": 0.8623, + "step": 30042 + }, + { + "epoch": 0.71, + "grad_norm": 1.5226955205184072, + "learning_rate": 4.153922500917123e-06, + "loss": 0.8917, + "step": 30043 + }, + { + "epoch": 0.71, + "grad_norm": 1.6634050989177185, + "learning_rate": 4.15330345045601e-06, + "loss": 0.8288, + "step": 30044 + }, + { + "epoch": 0.71, + "grad_norm": 1.7281212101792067, + "learning_rate": 4.152684434036212e-06, + "loss": 0.6798, + "step": 30045 + }, + { + "epoch": 0.71, + "grad_norm": 1.5183158501935596, + "learning_rate": 4.152065451661334e-06, + "loss": 0.893, + "step": 30046 + }, + { + "epoch": 0.71, + "grad_norm": 1.6314342064278518, + "learning_rate": 4.151446503334988e-06, + "loss": 0.7812, + "step": 30047 + }, + { + "epoch": 0.71, + "grad_norm": 1.5603360268185547, + "learning_rate": 4.150827589060769e-06, + "loss": 0.8087, + "step": 30048 + }, + { + "epoch": 0.71, + "grad_norm": 0.7582608267971865, + "learning_rate": 4.150208708842286e-06, + "loss": 0.6954, + "step": 30049 + }, + { + "epoch": 0.71, + "grad_norm": 1.4666021314753985, + "learning_rate": 4.149589862683141e-06, + "loss": 0.6623, + "step": 30050 + }, + { + "epoch": 0.71, + "grad_norm": 0.7891518459003762, + "learning_rate": 4.1489710505869305e-06, + "loss": 0.6982, + "step": 30051 + }, + { + "epoch": 0.71, + "grad_norm": 1.519101430719181, + "learning_rate": 4.148352272557264e-06, + "loss": 0.8496, + "step": 30052 + }, + { + "epoch": 0.71, + "grad_norm": 1.820150298110518, + "learning_rate": 4.147733528597748e-06, + "loss": 0.8777, + "step": 30053 + }, + { + "epoch": 0.71, + "grad_norm": 2.0505816250525792, + "learning_rate": 4.147114818711979e-06, + "loss": 0.6296, + "step": 30054 + }, + { + "epoch": 0.71, + "grad_norm": 0.7502656454127218, + "learning_rate": 4.146496142903557e-06, + "loss": 0.7344, + "step": 30055 + }, + { + "epoch": 0.71, + "grad_norm": 1.5229250194159434, + "learning_rate": 4.145877501176088e-06, + "loss": 0.7525, + "step": 30056 + }, + { + "epoch": 0.71, + "grad_norm": 2.172119465251554, + "learning_rate": 4.145258893533179e-06, + "loss": 0.9363, + "step": 30057 + }, + { + "epoch": 0.71, + "grad_norm": 1.5948891022332776, + "learning_rate": 4.144640319978422e-06, + "loss": 0.7954, + "step": 30058 + }, + { + "epoch": 0.71, + "grad_norm": 1.4842224717985815, + "learning_rate": 4.144021780515421e-06, + "loss": 0.7829, + "step": 30059 + }, + { + "epoch": 0.71, + "grad_norm": 1.6838578271674265, + "learning_rate": 4.1434032751477794e-06, + "loss": 0.7862, + "step": 30060 + }, + { + "epoch": 0.71, + "grad_norm": 1.6833873931262666, + "learning_rate": 4.142784803879102e-06, + "loss": 0.8505, + "step": 30061 + }, + { + "epoch": 0.71, + "grad_norm": 1.5484889703220512, + "learning_rate": 4.142166366712985e-06, + "loss": 0.8913, + "step": 30062 + }, + { + "epoch": 0.71, + "grad_norm": 2.038680847314602, + "learning_rate": 4.141547963653027e-06, + "loss": 0.8722, + "step": 30063 + }, + { + "epoch": 0.71, + "grad_norm": 1.5352446844226362, + "learning_rate": 4.140929594702836e-06, + "loss": 0.8688, + "step": 30064 + }, + { + "epoch": 0.71, + "grad_norm": 1.640298479092134, + "learning_rate": 4.140311259866003e-06, + "loss": 0.9447, + "step": 30065 + }, + { + "epoch": 0.71, + "grad_norm": 1.6749175964219183, + "learning_rate": 4.139692959146138e-06, + "loss": 0.7886, + "step": 30066 + }, + { + "epoch": 0.71, + "grad_norm": 1.5491365385962943, + "learning_rate": 4.139074692546831e-06, + "loss": 0.8658, + "step": 30067 + }, + { + "epoch": 0.71, + "grad_norm": 1.7786274484816225, + "learning_rate": 4.138456460071691e-06, + "loss": 0.7287, + "step": 30068 + }, + { + "epoch": 0.71, + "grad_norm": 1.8242916467471104, + "learning_rate": 4.137838261724308e-06, + "loss": 0.7962, + "step": 30069 + }, + { + "epoch": 0.71, + "grad_norm": 1.7109806094177875, + "learning_rate": 4.137220097508292e-06, + "loss": 0.7946, + "step": 30070 + }, + { + "epoch": 0.71, + "grad_norm": 1.527608878860428, + "learning_rate": 4.136601967427236e-06, + "loss": 0.9036, + "step": 30071 + }, + { + "epoch": 0.71, + "grad_norm": 0.7522410417476506, + "learning_rate": 4.135983871484735e-06, + "loss": 0.7453, + "step": 30072 + }, + { + "epoch": 0.71, + "grad_norm": 1.585003230819823, + "learning_rate": 4.135365809684394e-06, + "loss": 0.8068, + "step": 30073 + }, + { + "epoch": 0.71, + "grad_norm": 1.6191993537251412, + "learning_rate": 4.134747782029814e-06, + "loss": 0.8208, + "step": 30074 + }, + { + "epoch": 0.71, + "grad_norm": 1.7221190972501101, + "learning_rate": 4.134129788524588e-06, + "loss": 0.9002, + "step": 30075 + }, + { + "epoch": 0.71, + "grad_norm": 1.5779922484362987, + "learning_rate": 4.133511829172313e-06, + "loss": 0.8739, + "step": 30076 + }, + { + "epoch": 0.71, + "grad_norm": 1.6885152046729182, + "learning_rate": 4.132893903976588e-06, + "loss": 0.9407, + "step": 30077 + }, + { + "epoch": 0.71, + "grad_norm": 1.51429259624567, + "learning_rate": 4.132276012941016e-06, + "loss": 0.8253, + "step": 30078 + }, + { + "epoch": 0.71, + "grad_norm": 1.4641588125675604, + "learning_rate": 4.1316581560691924e-06, + "loss": 0.9123, + "step": 30079 + }, + { + "epoch": 0.71, + "grad_norm": 2.686314751583417, + "learning_rate": 4.131040333364708e-06, + "loss": 0.827, + "step": 30080 + }, + { + "epoch": 0.71, + "grad_norm": 1.4586799991413453, + "learning_rate": 4.130422544831165e-06, + "loss": 0.9168, + "step": 30081 + }, + { + "epoch": 0.71, + "grad_norm": 1.7282539178816643, + "learning_rate": 4.129804790472164e-06, + "loss": 0.9444, + "step": 30082 + }, + { + "epoch": 0.71, + "grad_norm": 1.6329366955283835, + "learning_rate": 4.129187070291298e-06, + "loss": 0.9418, + "step": 30083 + }, + { + "epoch": 0.71, + "grad_norm": 1.6466219465301106, + "learning_rate": 4.128569384292161e-06, + "loss": 0.7597, + "step": 30084 + }, + { + "epoch": 0.71, + "grad_norm": 1.5685366342995886, + "learning_rate": 4.127951732478353e-06, + "loss": 0.8025, + "step": 30085 + }, + { + "epoch": 0.71, + "grad_norm": 1.60904980293855, + "learning_rate": 4.127334114853467e-06, + "loss": 0.8443, + "step": 30086 + }, + { + "epoch": 0.71, + "grad_norm": 1.5765964772306114, + "learning_rate": 4.126716531421105e-06, + "loss": 0.812, + "step": 30087 + }, + { + "epoch": 0.71, + "grad_norm": 0.8000969070207922, + "learning_rate": 4.126098982184854e-06, + "loss": 0.6955, + "step": 30088 + }, + { + "epoch": 0.71, + "grad_norm": 2.2194687628690275, + "learning_rate": 4.125481467148319e-06, + "loss": 0.7871, + "step": 30089 + }, + { + "epoch": 0.71, + "grad_norm": 1.638836182222275, + "learning_rate": 4.124863986315087e-06, + "loss": 0.8019, + "step": 30090 + }, + { + "epoch": 0.71, + "grad_norm": 1.6044632347269812, + "learning_rate": 4.1242465396887595e-06, + "loss": 0.8251, + "step": 30091 + }, + { + "epoch": 0.71, + "grad_norm": 1.5589187524549664, + "learning_rate": 4.12362912727293e-06, + "loss": 0.7548, + "step": 30092 + }, + { + "epoch": 0.71, + "grad_norm": 0.7448363518006453, + "learning_rate": 4.123011749071188e-06, + "loss": 0.7089, + "step": 30093 + }, + { + "epoch": 0.71, + "grad_norm": 0.7604610686894782, + "learning_rate": 4.122394405087132e-06, + "loss": 0.7167, + "step": 30094 + }, + { + "epoch": 0.71, + "grad_norm": 1.4471625126715497, + "learning_rate": 4.121777095324361e-06, + "loss": 0.7909, + "step": 30095 + }, + { + "epoch": 0.71, + "grad_norm": 1.5776498917089021, + "learning_rate": 4.121159819786465e-06, + "loss": 0.9393, + "step": 30096 + }, + { + "epoch": 0.71, + "grad_norm": 1.4639176513460366, + "learning_rate": 4.120542578477033e-06, + "loss": 0.852, + "step": 30097 + }, + { + "epoch": 0.71, + "grad_norm": 1.9381820071468048, + "learning_rate": 4.119925371399665e-06, + "loss": 0.6532, + "step": 30098 + }, + { + "epoch": 0.71, + "grad_norm": 0.7667163625486955, + "learning_rate": 4.119308198557955e-06, + "loss": 0.7521, + "step": 30099 + }, + { + "epoch": 0.71, + "grad_norm": 1.4753521235038474, + "learning_rate": 4.1186910599554954e-06, + "loss": 0.8304, + "step": 30100 + }, + { + "epoch": 0.71, + "grad_norm": 1.7865655060235757, + "learning_rate": 4.118073955595873e-06, + "loss": 0.8188, + "step": 30101 + }, + { + "epoch": 0.71, + "grad_norm": 1.537609075844262, + "learning_rate": 4.117456885482689e-06, + "loss": 0.8409, + "step": 30102 + }, + { + "epoch": 0.71, + "grad_norm": 1.6062568889572935, + "learning_rate": 4.116839849619536e-06, + "loss": 0.9293, + "step": 30103 + }, + { + "epoch": 0.71, + "grad_norm": 1.5752513081654262, + "learning_rate": 4.116222848010004e-06, + "loss": 0.8944, + "step": 30104 + }, + { + "epoch": 0.71, + "grad_norm": 1.8085747580485023, + "learning_rate": 4.1156058806576815e-06, + "loss": 0.7627, + "step": 30105 + }, + { + "epoch": 0.71, + "grad_norm": 1.8614330808949844, + "learning_rate": 4.114988947566167e-06, + "loss": 0.8992, + "step": 30106 + }, + { + "epoch": 0.71, + "grad_norm": 1.5603850905440644, + "learning_rate": 4.114372048739048e-06, + "loss": 0.9103, + "step": 30107 + }, + { + "epoch": 0.71, + "grad_norm": 2.031485211699221, + "learning_rate": 4.113755184179922e-06, + "loss": 0.8599, + "step": 30108 + }, + { + "epoch": 0.71, + "grad_norm": 1.6113409412661843, + "learning_rate": 4.113138353892373e-06, + "loss": 0.7369, + "step": 30109 + }, + { + "epoch": 0.71, + "grad_norm": 1.6085636409855446, + "learning_rate": 4.11252155788e-06, + "loss": 0.8025, + "step": 30110 + }, + { + "epoch": 0.71, + "grad_norm": 1.661710869266473, + "learning_rate": 4.1119047961463855e-06, + "loss": 0.8907, + "step": 30111 + }, + { + "epoch": 0.71, + "grad_norm": 1.4617744880376862, + "learning_rate": 4.1112880686951306e-06, + "loss": 0.8321, + "step": 30112 + }, + { + "epoch": 0.71, + "grad_norm": 1.6160137168189164, + "learning_rate": 4.110671375529817e-06, + "loss": 0.8578, + "step": 30113 + }, + { + "epoch": 0.71, + "grad_norm": 0.8016934424898381, + "learning_rate": 4.110054716654042e-06, + "loss": 0.7463, + "step": 30114 + }, + { + "epoch": 0.71, + "grad_norm": 2.092906368157351, + "learning_rate": 4.109438092071389e-06, + "loss": 0.8503, + "step": 30115 + }, + { + "epoch": 0.71, + "grad_norm": 1.5440349251811942, + "learning_rate": 4.108821501785458e-06, + "loss": 0.9601, + "step": 30116 + }, + { + "epoch": 0.71, + "grad_norm": 1.7965138969347476, + "learning_rate": 4.1082049457998316e-06, + "loss": 0.9087, + "step": 30117 + }, + { + "epoch": 0.71, + "grad_norm": 1.6106007927410413, + "learning_rate": 4.107588424118098e-06, + "loss": 0.7843, + "step": 30118 + }, + { + "epoch": 0.71, + "grad_norm": 1.4843460317031196, + "learning_rate": 4.106971936743851e-06, + "loss": 0.8947, + "step": 30119 + }, + { + "epoch": 0.71, + "grad_norm": 1.5548700788420289, + "learning_rate": 4.106355483680683e-06, + "loss": 0.7856, + "step": 30120 + }, + { + "epoch": 0.71, + "grad_norm": 1.5788342905318802, + "learning_rate": 4.105739064932178e-06, + "loss": 0.7309, + "step": 30121 + }, + { + "epoch": 0.71, + "grad_norm": 1.86901272118571, + "learning_rate": 4.105122680501923e-06, + "loss": 0.8377, + "step": 30122 + }, + { + "epoch": 0.71, + "grad_norm": 1.6854196911218498, + "learning_rate": 4.1045063303935105e-06, + "loss": 0.8882, + "step": 30123 + }, + { + "epoch": 0.71, + "grad_norm": 1.6641096313556114, + "learning_rate": 4.103890014610532e-06, + "loss": 0.7816, + "step": 30124 + }, + { + "epoch": 0.71, + "grad_norm": 1.914080196430791, + "learning_rate": 4.103273733156572e-06, + "loss": 0.7492, + "step": 30125 + }, + { + "epoch": 0.71, + "grad_norm": 0.7546366973408067, + "learning_rate": 4.102657486035216e-06, + "loss": 0.6714, + "step": 30126 + }, + { + "epoch": 0.71, + "grad_norm": 1.7151367831303457, + "learning_rate": 4.102041273250055e-06, + "loss": 0.8356, + "step": 30127 + }, + { + "epoch": 0.71, + "grad_norm": 1.4494291022585388, + "learning_rate": 4.1014250948046805e-06, + "loss": 0.8131, + "step": 30128 + }, + { + "epoch": 0.71, + "grad_norm": 1.4987296217991006, + "learning_rate": 4.100808950702677e-06, + "loss": 0.7318, + "step": 30129 + }, + { + "epoch": 0.71, + "grad_norm": 2.508335766507471, + "learning_rate": 4.100192840947628e-06, + "loss": 0.7799, + "step": 30130 + }, + { + "epoch": 0.71, + "grad_norm": 1.5059230803492027, + "learning_rate": 4.099576765543128e-06, + "loss": 0.9563, + "step": 30131 + }, + { + "epoch": 0.71, + "grad_norm": 1.743108427154305, + "learning_rate": 4.098960724492756e-06, + "loss": 0.8188, + "step": 30132 + }, + { + "epoch": 0.71, + "grad_norm": 1.621390963451724, + "learning_rate": 4.098344717800105e-06, + "loss": 0.8472, + "step": 30133 + }, + { + "epoch": 0.71, + "grad_norm": 1.6288787772085422, + "learning_rate": 4.0977287454687575e-06, + "loss": 0.8855, + "step": 30134 + }, + { + "epoch": 0.71, + "grad_norm": 1.6023453757812494, + "learning_rate": 4.097112807502306e-06, + "loss": 0.932, + "step": 30135 + }, + { + "epoch": 0.71, + "grad_norm": 1.7163254570844761, + "learning_rate": 4.096496903904328e-06, + "loss": 0.7704, + "step": 30136 + }, + { + "epoch": 0.71, + "grad_norm": 1.4816200127643127, + "learning_rate": 4.095881034678414e-06, + "loss": 0.9012, + "step": 30137 + }, + { + "epoch": 0.71, + "grad_norm": 0.7640281845885906, + "learning_rate": 4.095265199828157e-06, + "loss": 0.706, + "step": 30138 + }, + { + "epoch": 0.71, + "grad_norm": 1.566895442649146, + "learning_rate": 4.094649399357129e-06, + "loss": 0.8904, + "step": 30139 + }, + { + "epoch": 0.71, + "grad_norm": 1.526852953077378, + "learning_rate": 4.0940336332689216e-06, + "loss": 0.9522, + "step": 30140 + }, + { + "epoch": 0.71, + "grad_norm": 1.5779943098926286, + "learning_rate": 4.093417901567119e-06, + "loss": 0.8409, + "step": 30141 + }, + { + "epoch": 0.71, + "grad_norm": 1.4917317818265357, + "learning_rate": 4.092802204255316e-06, + "loss": 0.9317, + "step": 30142 + }, + { + "epoch": 0.71, + "grad_norm": 1.490381798761715, + "learning_rate": 4.092186541337081e-06, + "loss": 0.9651, + "step": 30143 + }, + { + "epoch": 0.71, + "grad_norm": 1.6909722623912715, + "learning_rate": 4.091570912816006e-06, + "loss": 0.9038, + "step": 30144 + }, + { + "epoch": 0.71, + "grad_norm": 1.827215688093877, + "learning_rate": 4.090955318695679e-06, + "loss": 0.7504, + "step": 30145 + }, + { + "epoch": 0.71, + "grad_norm": 1.7433194599421125, + "learning_rate": 4.090339758979679e-06, + "loss": 0.9045, + "step": 30146 + }, + { + "epoch": 0.71, + "grad_norm": 1.5997241322402271, + "learning_rate": 4.089724233671594e-06, + "loss": 0.8628, + "step": 30147 + }, + { + "epoch": 0.71, + "grad_norm": 0.7741839483129387, + "learning_rate": 4.089108742775003e-06, + "loss": 0.6995, + "step": 30148 + }, + { + "epoch": 0.71, + "grad_norm": 2.2985770015109086, + "learning_rate": 4.088493286293495e-06, + "loss": 0.8438, + "step": 30149 + }, + { + "epoch": 0.71, + "grad_norm": 1.3861537631970993, + "learning_rate": 4.0878778642306475e-06, + "loss": 0.7155, + "step": 30150 + }, + { + "epoch": 0.71, + "grad_norm": 0.8430161143834851, + "learning_rate": 4.08726247659005e-06, + "loss": 0.7538, + "step": 30151 + }, + { + "epoch": 0.71, + "grad_norm": 1.6410374254661335, + "learning_rate": 4.086647123375282e-06, + "loss": 0.9003, + "step": 30152 + }, + { + "epoch": 0.71, + "grad_norm": 2.106242454792911, + "learning_rate": 4.086031804589925e-06, + "loss": 0.8177, + "step": 30153 + }, + { + "epoch": 0.71, + "grad_norm": 1.8183142341168015, + "learning_rate": 4.085416520237562e-06, + "loss": 0.8215, + "step": 30154 + }, + { + "epoch": 0.71, + "grad_norm": 1.552380913695353, + "learning_rate": 4.0848012703217785e-06, + "loss": 0.8135, + "step": 30155 + }, + { + "epoch": 0.71, + "grad_norm": 2.3080863396525952, + "learning_rate": 4.0841860548461565e-06, + "loss": 0.7747, + "step": 30156 + }, + { + "epoch": 0.71, + "grad_norm": 0.7714603568024795, + "learning_rate": 4.083570873814273e-06, + "loss": 0.704, + "step": 30157 + }, + { + "epoch": 0.71, + "grad_norm": 1.3801923632494435, + "learning_rate": 4.082955727229712e-06, + "loss": 0.8837, + "step": 30158 + }, + { + "epoch": 0.71, + "grad_norm": 1.3904570458389889, + "learning_rate": 4.08234061509606e-06, + "loss": 0.8086, + "step": 30159 + }, + { + "epoch": 0.71, + "grad_norm": 1.4865802147039275, + "learning_rate": 4.081725537416894e-06, + "loss": 0.8627, + "step": 30160 + }, + { + "epoch": 0.71, + "grad_norm": 1.5550021621109889, + "learning_rate": 4.0811104941957924e-06, + "loss": 0.8, + "step": 30161 + }, + { + "epoch": 0.71, + "grad_norm": 1.6152645574974867, + "learning_rate": 4.0804954854363395e-06, + "loss": 0.7922, + "step": 30162 + }, + { + "epoch": 0.71, + "grad_norm": 0.7296845512688249, + "learning_rate": 4.079880511142119e-06, + "loss": 0.7012, + "step": 30163 + }, + { + "epoch": 0.71, + "grad_norm": 0.7499744107190219, + "learning_rate": 4.07926557131671e-06, + "loss": 0.7478, + "step": 30164 + }, + { + "epoch": 0.71, + "grad_norm": 1.7374282349081895, + "learning_rate": 4.078650665963686e-06, + "loss": 0.8974, + "step": 30165 + }, + { + "epoch": 0.71, + "grad_norm": 1.6035910631400596, + "learning_rate": 4.078035795086636e-06, + "loss": 0.7997, + "step": 30166 + }, + { + "epoch": 0.71, + "grad_norm": 1.7843392554561253, + "learning_rate": 4.077420958689134e-06, + "loss": 0.8507, + "step": 30167 + }, + { + "epoch": 0.71, + "grad_norm": 0.7561637224066146, + "learning_rate": 4.076806156774765e-06, + "loss": 0.7109, + "step": 30168 + }, + { + "epoch": 0.71, + "grad_norm": 1.5472969893082977, + "learning_rate": 4.076191389347103e-06, + "loss": 0.7597, + "step": 30169 + }, + { + "epoch": 0.71, + "grad_norm": 1.5359513305694894, + "learning_rate": 4.075576656409733e-06, + "loss": 0.8595, + "step": 30170 + }, + { + "epoch": 0.71, + "grad_norm": 1.553058164484637, + "learning_rate": 4.074961957966228e-06, + "loss": 0.8293, + "step": 30171 + }, + { + "epoch": 0.71, + "grad_norm": 1.5094766970137874, + "learning_rate": 4.0743472940201746e-06, + "loss": 0.9026, + "step": 30172 + }, + { + "epoch": 0.71, + "grad_norm": 1.4739388270555212, + "learning_rate": 4.073732664575146e-06, + "loss": 0.865, + "step": 30173 + }, + { + "epoch": 0.71, + "grad_norm": 0.7447415031445838, + "learning_rate": 4.073118069634719e-06, + "loss": 0.6682, + "step": 30174 + }, + { + "epoch": 0.71, + "grad_norm": 1.4784433240185286, + "learning_rate": 4.072503509202476e-06, + "loss": 0.8075, + "step": 30175 + }, + { + "epoch": 0.71, + "grad_norm": 1.415470284856143, + "learning_rate": 4.071888983281996e-06, + "loss": 0.7316, + "step": 30176 + }, + { + "epoch": 0.71, + "grad_norm": 1.7326832476393674, + "learning_rate": 4.071274491876856e-06, + "loss": 0.7713, + "step": 30177 + }, + { + "epoch": 0.71, + "grad_norm": 2.21281696400679, + "learning_rate": 4.07066003499063e-06, + "loss": 0.8928, + "step": 30178 + }, + { + "epoch": 0.71, + "grad_norm": 1.7622023226584431, + "learning_rate": 4.070045612626898e-06, + "loss": 0.7473, + "step": 30179 + }, + { + "epoch": 0.71, + "grad_norm": 1.640969732001809, + "learning_rate": 4.069431224789242e-06, + "loss": 0.8807, + "step": 30180 + }, + { + "epoch": 0.71, + "grad_norm": 1.5317587932046852, + "learning_rate": 4.068816871481234e-06, + "loss": 0.727, + "step": 30181 + }, + { + "epoch": 0.71, + "grad_norm": 1.8980276076664364, + "learning_rate": 4.0682025527064486e-06, + "loss": 0.7337, + "step": 30182 + }, + { + "epoch": 0.71, + "grad_norm": 1.6920349503536332, + "learning_rate": 4.067588268468467e-06, + "loss": 0.7765, + "step": 30183 + }, + { + "epoch": 0.71, + "grad_norm": 1.8288897533255302, + "learning_rate": 4.066974018770866e-06, + "loss": 0.7595, + "step": 30184 + }, + { + "epoch": 0.71, + "grad_norm": 1.7968804628545711, + "learning_rate": 4.0663598036172225e-06, + "loss": 0.9075, + "step": 30185 + }, + { + "epoch": 0.71, + "grad_norm": 1.7508574249180782, + "learning_rate": 4.065745623011106e-06, + "loss": 0.7015, + "step": 30186 + }, + { + "epoch": 0.71, + "grad_norm": 1.5779126948694286, + "learning_rate": 4.065131476956101e-06, + "loss": 0.8143, + "step": 30187 + }, + { + "epoch": 0.71, + "grad_norm": 1.6898262567102162, + "learning_rate": 4.0645173654557766e-06, + "loss": 0.8986, + "step": 30188 + }, + { + "epoch": 0.71, + "grad_norm": 1.5603580222946318, + "learning_rate": 4.063903288513714e-06, + "loss": 0.8015, + "step": 30189 + }, + { + "epoch": 0.71, + "grad_norm": 1.6319630731962997, + "learning_rate": 4.063289246133484e-06, + "loss": 0.8595, + "step": 30190 + }, + { + "epoch": 0.71, + "grad_norm": 1.5223170103691626, + "learning_rate": 4.062675238318665e-06, + "loss": 0.7932, + "step": 30191 + }, + { + "epoch": 0.71, + "grad_norm": 1.5070726564063317, + "learning_rate": 4.062061265072829e-06, + "loss": 0.7971, + "step": 30192 + }, + { + "epoch": 0.71, + "grad_norm": 1.5986333135503288, + "learning_rate": 4.061447326399554e-06, + "loss": 0.9968, + "step": 30193 + }, + { + "epoch": 0.71, + "grad_norm": 2.2341672688208116, + "learning_rate": 4.060833422302412e-06, + "loss": 0.8299, + "step": 30194 + }, + { + "epoch": 0.71, + "grad_norm": 1.4882668169234132, + "learning_rate": 4.060219552784976e-06, + "loss": 0.9297, + "step": 30195 + }, + { + "epoch": 0.71, + "grad_norm": 0.8081206098986334, + "learning_rate": 4.059605717850823e-06, + "loss": 0.7097, + "step": 30196 + }, + { + "epoch": 0.71, + "grad_norm": 1.8771452615303919, + "learning_rate": 4.058991917503529e-06, + "loss": 0.7618, + "step": 30197 + }, + { + "epoch": 0.71, + "grad_norm": 1.6204812611998638, + "learning_rate": 4.058378151746665e-06, + "loss": 0.8278, + "step": 30198 + }, + { + "epoch": 0.71, + "grad_norm": 1.6930461765292992, + "learning_rate": 4.057764420583801e-06, + "loss": 0.8459, + "step": 30199 + }, + { + "epoch": 0.71, + "grad_norm": 1.6819558277766335, + "learning_rate": 4.057150724018514e-06, + "loss": 0.8915, + "step": 30200 + }, + { + "epoch": 0.71, + "grad_norm": 1.6084625035630387, + "learning_rate": 4.0565370620543795e-06, + "loss": 0.9768, + "step": 30201 + }, + { + "epoch": 0.71, + "grad_norm": 1.6393301109094116, + "learning_rate": 4.055923434694968e-06, + "loss": 0.9158, + "step": 30202 + }, + { + "epoch": 0.71, + "grad_norm": 2.3229513541503795, + "learning_rate": 4.05530984194385e-06, + "loss": 0.7389, + "step": 30203 + }, + { + "epoch": 0.71, + "grad_norm": 1.711014899524393, + "learning_rate": 4.054696283804599e-06, + "loss": 0.9912, + "step": 30204 + }, + { + "epoch": 0.71, + "grad_norm": 1.5498310700113804, + "learning_rate": 4.054082760280792e-06, + "loss": 0.8915, + "step": 30205 + }, + { + "epoch": 0.71, + "grad_norm": 1.7138956536947616, + "learning_rate": 4.053469271375998e-06, + "loss": 0.829, + "step": 30206 + }, + { + "epoch": 0.71, + "grad_norm": 1.9752896858600508, + "learning_rate": 4.052855817093785e-06, + "loss": 0.8298, + "step": 30207 + }, + { + "epoch": 0.71, + "grad_norm": 1.875301037295736, + "learning_rate": 4.0522423974377325e-06, + "loss": 0.9371, + "step": 30208 + }, + { + "epoch": 0.71, + "grad_norm": 1.595729658859461, + "learning_rate": 4.051629012411403e-06, + "loss": 0.9067, + "step": 30209 + }, + { + "epoch": 0.71, + "grad_norm": 1.8081161448230214, + "learning_rate": 4.051015662018376e-06, + "loss": 0.7475, + "step": 30210 + }, + { + "epoch": 0.71, + "grad_norm": 1.6145495369938183, + "learning_rate": 4.050402346262217e-06, + "loss": 0.9229, + "step": 30211 + }, + { + "epoch": 0.71, + "grad_norm": 1.4844205617382493, + "learning_rate": 4.049789065146502e-06, + "loss": 0.8043, + "step": 30212 + }, + { + "epoch": 0.71, + "grad_norm": 1.4768419290106525, + "learning_rate": 4.049175818674795e-06, + "loss": 0.8577, + "step": 30213 + }, + { + "epoch": 0.71, + "grad_norm": 1.50399921181398, + "learning_rate": 4.048562606850674e-06, + "loss": 0.7691, + "step": 30214 + }, + { + "epoch": 0.71, + "grad_norm": 1.8060470019484636, + "learning_rate": 4.047949429677706e-06, + "loss": 0.8654, + "step": 30215 + }, + { + "epoch": 0.71, + "grad_norm": 1.5599268881552981, + "learning_rate": 4.0473362871594576e-06, + "loss": 0.7959, + "step": 30216 + }, + { + "epoch": 0.71, + "grad_norm": 1.4398318400129093, + "learning_rate": 4.0467231792995024e-06, + "loss": 0.856, + "step": 30217 + }, + { + "epoch": 0.71, + "grad_norm": 1.888811393471805, + "learning_rate": 4.046110106101412e-06, + "loss": 0.7461, + "step": 30218 + }, + { + "epoch": 0.71, + "grad_norm": 1.6316913269603952, + "learning_rate": 4.045497067568753e-06, + "loss": 0.832, + "step": 30219 + }, + { + "epoch": 0.71, + "grad_norm": 1.5778446248683968, + "learning_rate": 4.0448840637050934e-06, + "loss": 0.7576, + "step": 30220 + }, + { + "epoch": 0.71, + "grad_norm": 2.167657775849669, + "learning_rate": 4.044271094514003e-06, + "loss": 1.001, + "step": 30221 + }, + { + "epoch": 0.71, + "grad_norm": 1.6265706503808306, + "learning_rate": 4.043658159999055e-06, + "loss": 0.8939, + "step": 30222 + }, + { + "epoch": 0.71, + "grad_norm": 1.7883148186849598, + "learning_rate": 4.043045260163816e-06, + "loss": 0.8586, + "step": 30223 + }, + { + "epoch": 0.71, + "grad_norm": 1.7259991950547369, + "learning_rate": 4.0424323950118495e-06, + "loss": 0.9062, + "step": 30224 + }, + { + "epoch": 0.71, + "grad_norm": 0.7494771966920809, + "learning_rate": 4.041819564546727e-06, + "loss": 0.6884, + "step": 30225 + }, + { + "epoch": 0.71, + "grad_norm": 1.5072692044932043, + "learning_rate": 4.041206768772023e-06, + "loss": 0.85, + "step": 30226 + }, + { + "epoch": 0.71, + "grad_norm": 1.5927398127250918, + "learning_rate": 4.040594007691297e-06, + "loss": 0.8445, + "step": 30227 + }, + { + "epoch": 0.71, + "grad_norm": 1.5560898475393232, + "learning_rate": 4.039981281308117e-06, + "loss": 0.8358, + "step": 30228 + }, + { + "epoch": 0.71, + "grad_norm": 1.4011047821230367, + "learning_rate": 4.039368589626057e-06, + "loss": 0.7967, + "step": 30229 + }, + { + "epoch": 0.71, + "grad_norm": 1.5539304674579026, + "learning_rate": 4.038755932648677e-06, + "loss": 0.8838, + "step": 30230 + }, + { + "epoch": 0.71, + "grad_norm": 1.6520141094920588, + "learning_rate": 4.03814331037955e-06, + "loss": 0.8265, + "step": 30231 + }, + { + "epoch": 0.71, + "grad_norm": 1.6675646656639902, + "learning_rate": 4.037530722822236e-06, + "loss": 0.8315, + "step": 30232 + }, + { + "epoch": 0.71, + "grad_norm": 1.853394043678712, + "learning_rate": 4.036918169980311e-06, + "loss": 0.8678, + "step": 30233 + }, + { + "epoch": 0.71, + "grad_norm": 1.5910501949752278, + "learning_rate": 4.03630565185733e-06, + "loss": 0.8126, + "step": 30234 + }, + { + "epoch": 0.71, + "grad_norm": 1.6270974619242833, + "learning_rate": 4.035693168456869e-06, + "loss": 0.8851, + "step": 30235 + }, + { + "epoch": 0.71, + "grad_norm": 1.3355727968886448, + "learning_rate": 4.035080719782491e-06, + "loss": 0.7057, + "step": 30236 + }, + { + "epoch": 0.71, + "grad_norm": 3.6553007428542816, + "learning_rate": 4.0344683058377645e-06, + "loss": 0.7653, + "step": 30237 + }, + { + "epoch": 0.71, + "grad_norm": 1.570610301715308, + "learning_rate": 4.033855926626247e-06, + "loss": 0.8306, + "step": 30238 + }, + { + "epoch": 0.71, + "grad_norm": 1.5322082222423803, + "learning_rate": 4.033243582151509e-06, + "loss": 0.7733, + "step": 30239 + }, + { + "epoch": 0.71, + "grad_norm": 1.7227694412627832, + "learning_rate": 4.032631272417123e-06, + "loss": 0.7485, + "step": 30240 + }, + { + "epoch": 0.71, + "grad_norm": 3.0913185624059953, + "learning_rate": 4.03201899742664e-06, + "loss": 0.8275, + "step": 30241 + }, + { + "epoch": 0.71, + "grad_norm": 1.6084628106938361, + "learning_rate": 4.031406757183632e-06, + "loss": 0.9909, + "step": 30242 + }, + { + "epoch": 0.71, + "grad_norm": 1.4271576203005405, + "learning_rate": 4.030794551691663e-06, + "loss": 0.8047, + "step": 30243 + }, + { + "epoch": 0.71, + "grad_norm": 1.7395168761901534, + "learning_rate": 4.030182380954303e-06, + "loss": 0.8898, + "step": 30244 + }, + { + "epoch": 0.71, + "grad_norm": 1.5929122044983783, + "learning_rate": 4.02957024497511e-06, + "loss": 0.7538, + "step": 30245 + }, + { + "epoch": 0.71, + "grad_norm": 1.508083907095951, + "learning_rate": 4.028958143757647e-06, + "loss": 0.9601, + "step": 30246 + }, + { + "epoch": 0.71, + "grad_norm": 1.7421967487854144, + "learning_rate": 4.028346077305482e-06, + "loss": 0.8196, + "step": 30247 + }, + { + "epoch": 0.71, + "grad_norm": 1.867484702109382, + "learning_rate": 4.027734045622172e-06, + "loss": 0.9213, + "step": 30248 + }, + { + "epoch": 0.71, + "grad_norm": 1.7416914552903782, + "learning_rate": 4.027122048711292e-06, + "loss": 0.7739, + "step": 30249 + }, + { + "epoch": 0.71, + "grad_norm": 1.5810435473195101, + "learning_rate": 4.026510086576393e-06, + "loss": 0.7701, + "step": 30250 + }, + { + "epoch": 0.71, + "grad_norm": 1.4806148504851055, + "learning_rate": 4.0258981592210464e-06, + "loss": 0.8508, + "step": 30251 + }, + { + "epoch": 0.71, + "grad_norm": 1.6942716684231205, + "learning_rate": 4.0252862666488105e-06, + "loss": 0.8253, + "step": 30252 + }, + { + "epoch": 0.71, + "grad_norm": 1.6250253847715932, + "learning_rate": 4.024674408863252e-06, + "loss": 0.7903, + "step": 30253 + }, + { + "epoch": 0.71, + "grad_norm": 1.4678122276942136, + "learning_rate": 4.02406258586793e-06, + "loss": 0.695, + "step": 30254 + }, + { + "epoch": 0.71, + "grad_norm": 1.8986859413209611, + "learning_rate": 4.023450797666405e-06, + "loss": 0.8452, + "step": 30255 + }, + { + "epoch": 0.71, + "grad_norm": 1.666063865177595, + "learning_rate": 4.022839044262241e-06, + "loss": 0.9293, + "step": 30256 + }, + { + "epoch": 0.71, + "grad_norm": 2.625912310611145, + "learning_rate": 4.022227325659005e-06, + "loss": 0.8554, + "step": 30257 + }, + { + "epoch": 0.71, + "grad_norm": 1.5896581824421467, + "learning_rate": 4.0216156418602535e-06, + "loss": 0.8258, + "step": 30258 + }, + { + "epoch": 0.71, + "grad_norm": 1.70234264492433, + "learning_rate": 4.021003992869545e-06, + "loss": 0.9562, + "step": 30259 + }, + { + "epoch": 0.71, + "grad_norm": 1.9009381727674912, + "learning_rate": 4.020392378690444e-06, + "loss": 0.9124, + "step": 30260 + }, + { + "epoch": 0.71, + "grad_norm": 0.7707535520080256, + "learning_rate": 4.019780799326515e-06, + "loss": 0.7164, + "step": 30261 + }, + { + "epoch": 0.71, + "grad_norm": 0.7873964800312349, + "learning_rate": 4.019169254781315e-06, + "loss": 0.7083, + "step": 30262 + }, + { + "epoch": 0.71, + "grad_norm": 0.7220819121067332, + "learning_rate": 4.018557745058403e-06, + "loss": 0.7153, + "step": 30263 + }, + { + "epoch": 0.71, + "grad_norm": 1.7418363828029813, + "learning_rate": 4.01794627016134e-06, + "loss": 0.7478, + "step": 30264 + }, + { + "epoch": 0.71, + "grad_norm": 1.6906885901471116, + "learning_rate": 4.017334830093693e-06, + "loss": 0.853, + "step": 30265 + }, + { + "epoch": 0.71, + "grad_norm": 1.6740712371946516, + "learning_rate": 4.016723424859016e-06, + "loss": 0.8958, + "step": 30266 + }, + { + "epoch": 0.71, + "grad_norm": 1.7093079843839916, + "learning_rate": 4.016112054460866e-06, + "loss": 0.9868, + "step": 30267 + }, + { + "epoch": 0.71, + "grad_norm": 1.9356004075759687, + "learning_rate": 4.0155007189028086e-06, + "loss": 0.7814, + "step": 30268 + }, + { + "epoch": 0.71, + "grad_norm": 1.5980500095834855, + "learning_rate": 4.014889418188398e-06, + "loss": 0.878, + "step": 30269 + }, + { + "epoch": 0.71, + "grad_norm": 1.7243531835446306, + "learning_rate": 4.014278152321199e-06, + "loss": 0.8954, + "step": 30270 + }, + { + "epoch": 0.71, + "grad_norm": 2.0048881204128843, + "learning_rate": 4.013666921304765e-06, + "loss": 0.8332, + "step": 30271 + }, + { + "epoch": 0.71, + "grad_norm": 1.6596044941484012, + "learning_rate": 4.013055725142661e-06, + "loss": 0.654, + "step": 30272 + }, + { + "epoch": 0.71, + "grad_norm": 1.7352669567427241, + "learning_rate": 4.012444563838437e-06, + "loss": 0.7955, + "step": 30273 + }, + { + "epoch": 0.71, + "grad_norm": 1.9546436119540087, + "learning_rate": 4.011833437395661e-06, + "loss": 0.813, + "step": 30274 + }, + { + "epoch": 0.71, + "grad_norm": 1.5203844554157546, + "learning_rate": 4.011222345817886e-06, + "loss": 0.9442, + "step": 30275 + }, + { + "epoch": 0.71, + "grad_norm": 1.6633218508264545, + "learning_rate": 4.0106112891086675e-06, + "loss": 0.8558, + "step": 30276 + }, + { + "epoch": 0.71, + "grad_norm": 1.779068566515328, + "learning_rate": 4.010000267271566e-06, + "loss": 0.9682, + "step": 30277 + }, + { + "epoch": 0.71, + "grad_norm": 1.46950903190442, + "learning_rate": 4.009389280310144e-06, + "loss": 0.8406, + "step": 30278 + }, + { + "epoch": 0.71, + "grad_norm": 0.7373254841356761, + "learning_rate": 4.008778328227953e-06, + "loss": 0.6982, + "step": 30279 + }, + { + "epoch": 0.71, + "grad_norm": 1.6892456995929421, + "learning_rate": 4.008167411028548e-06, + "loss": 1.0086, + "step": 30280 + }, + { + "epoch": 0.71, + "grad_norm": 1.803604671615575, + "learning_rate": 4.007556528715489e-06, + "loss": 0.8359, + "step": 30281 + }, + { + "epoch": 0.71, + "grad_norm": 1.425829167695756, + "learning_rate": 4.006945681292338e-06, + "loss": 0.8179, + "step": 30282 + }, + { + "epoch": 0.71, + "grad_norm": 1.512082447214055, + "learning_rate": 4.0063348687626455e-06, + "loss": 0.7512, + "step": 30283 + }, + { + "epoch": 0.71, + "grad_norm": 1.6010312672740783, + "learning_rate": 4.005724091129965e-06, + "loss": 0.8332, + "step": 30284 + }, + { + "epoch": 0.71, + "grad_norm": 1.6095555958108632, + "learning_rate": 4.005113348397858e-06, + "loss": 0.9207, + "step": 30285 + }, + { + "epoch": 0.71, + "grad_norm": 1.4701053983429273, + "learning_rate": 4.004502640569882e-06, + "loss": 0.782, + "step": 30286 + }, + { + "epoch": 0.71, + "grad_norm": 1.759002828666681, + "learning_rate": 4.003891967649589e-06, + "loss": 0.7834, + "step": 30287 + }, + { + "epoch": 0.71, + "grad_norm": 1.6716235219026399, + "learning_rate": 4.003281329640533e-06, + "loss": 0.8943, + "step": 30288 + }, + { + "epoch": 0.71, + "grad_norm": 1.6424412368572383, + "learning_rate": 4.002670726546274e-06, + "loss": 0.8477, + "step": 30289 + }, + { + "epoch": 0.71, + "grad_norm": 1.5855374577494716, + "learning_rate": 4.002060158370361e-06, + "loss": 0.8384, + "step": 30290 + }, + { + "epoch": 0.71, + "grad_norm": 1.5503886535920155, + "learning_rate": 4.001449625116357e-06, + "loss": 0.8065, + "step": 30291 + }, + { + "epoch": 0.71, + "grad_norm": 1.5753364716836145, + "learning_rate": 4.000839126787809e-06, + "loss": 0.8068, + "step": 30292 + }, + { + "epoch": 0.71, + "grad_norm": 1.6487235965005411, + "learning_rate": 4.000228663388278e-06, + "loss": 0.8397, + "step": 30293 + }, + { + "epoch": 0.71, + "grad_norm": 1.773438570618569, + "learning_rate": 3.999618234921312e-06, + "loss": 0.9977, + "step": 30294 + }, + { + "epoch": 0.71, + "grad_norm": 0.7394199321128839, + "learning_rate": 3.999007841390472e-06, + "loss": 0.6986, + "step": 30295 + }, + { + "epoch": 0.71, + "grad_norm": 1.6228321635047165, + "learning_rate": 3.998397482799307e-06, + "loss": 0.8142, + "step": 30296 + }, + { + "epoch": 0.71, + "grad_norm": 1.8277682453847945, + "learning_rate": 3.9977871591513705e-06, + "loss": 0.824, + "step": 30297 + }, + { + "epoch": 0.71, + "grad_norm": 1.8161250921496759, + "learning_rate": 3.9971768704502156e-06, + "loss": 0.8286, + "step": 30298 + }, + { + "epoch": 0.71, + "grad_norm": 1.551833132600255, + "learning_rate": 3.996566616699402e-06, + "loss": 0.842, + "step": 30299 + }, + { + "epoch": 0.71, + "grad_norm": 1.509730641140475, + "learning_rate": 3.995956397902478e-06, + "loss": 0.8146, + "step": 30300 + }, + { + "epoch": 0.71, + "grad_norm": 1.7498965034191016, + "learning_rate": 3.995346214062993e-06, + "loss": 0.8817, + "step": 30301 + }, + { + "epoch": 0.71, + "grad_norm": 1.4685318349188254, + "learning_rate": 3.994736065184503e-06, + "loss": 0.7692, + "step": 30302 + }, + { + "epoch": 0.71, + "grad_norm": 0.7864779448693083, + "learning_rate": 3.9941259512705654e-06, + "loss": 0.6845, + "step": 30303 + }, + { + "epoch": 0.71, + "grad_norm": 1.582481788535632, + "learning_rate": 3.993515872324727e-06, + "loss": 0.8799, + "step": 30304 + }, + { + "epoch": 0.71, + "grad_norm": 1.6502861338328898, + "learning_rate": 3.992905828350538e-06, + "loss": 0.674, + "step": 30305 + }, + { + "epoch": 0.71, + "grad_norm": 1.590538763358762, + "learning_rate": 3.992295819351553e-06, + "loss": 0.8554, + "step": 30306 + }, + { + "epoch": 0.71, + "grad_norm": 1.818099572412754, + "learning_rate": 3.991685845331326e-06, + "loss": 0.8105, + "step": 30307 + }, + { + "epoch": 0.71, + "grad_norm": 0.7895658869203652, + "learning_rate": 3.9910759062934065e-06, + "loss": 0.7136, + "step": 30308 + }, + { + "epoch": 0.71, + "grad_norm": 1.7210123946898155, + "learning_rate": 3.990466002241344e-06, + "loss": 0.8034, + "step": 30309 + }, + { + "epoch": 0.71, + "grad_norm": 1.6331873788082534, + "learning_rate": 3.989856133178692e-06, + "loss": 0.8236, + "step": 30310 + }, + { + "epoch": 0.71, + "grad_norm": 1.5702182651574197, + "learning_rate": 3.989246299108999e-06, + "loss": 0.6984, + "step": 30311 + }, + { + "epoch": 0.71, + "grad_norm": 1.543756432394832, + "learning_rate": 3.988636500035819e-06, + "loss": 0.969, + "step": 30312 + }, + { + "epoch": 0.71, + "grad_norm": 1.6210130977387998, + "learning_rate": 3.988026735962698e-06, + "loss": 0.7969, + "step": 30313 + }, + { + "epoch": 0.71, + "grad_norm": 1.6464486368726587, + "learning_rate": 3.987417006893191e-06, + "loss": 0.8942, + "step": 30314 + }, + { + "epoch": 0.71, + "grad_norm": 1.4696011601261438, + "learning_rate": 3.986807312830843e-06, + "loss": 0.8827, + "step": 30315 + }, + { + "epoch": 0.71, + "grad_norm": 1.62483843019309, + "learning_rate": 3.98619765377921e-06, + "loss": 0.8384, + "step": 30316 + }, + { + "epoch": 0.71, + "grad_norm": 1.5790754989836342, + "learning_rate": 3.985588029741838e-06, + "loss": 0.9129, + "step": 30317 + }, + { + "epoch": 0.71, + "grad_norm": 1.6856723044920894, + "learning_rate": 3.984978440722274e-06, + "loss": 0.8836, + "step": 30318 + }, + { + "epoch": 0.71, + "grad_norm": 1.8164606249012851, + "learning_rate": 3.9843688867240695e-06, + "loss": 0.84, + "step": 30319 + }, + { + "epoch": 0.71, + "grad_norm": 4.146225493600363, + "learning_rate": 3.983759367750772e-06, + "loss": 0.9488, + "step": 30320 + }, + { + "epoch": 0.71, + "grad_norm": 1.4756472936441272, + "learning_rate": 3.9831498838059415e-06, + "loss": 0.9012, + "step": 30321 + }, + { + "epoch": 0.71, + "grad_norm": 1.7635744087125242, + "learning_rate": 3.982540434893109e-06, + "loss": 0.774, + "step": 30322 + }, + { + "epoch": 0.71, + "grad_norm": 1.61880642553493, + "learning_rate": 3.9819310210158324e-06, + "loss": 0.7668, + "step": 30323 + }, + { + "epoch": 0.71, + "grad_norm": 1.5658678707557898, + "learning_rate": 3.981321642177662e-06, + "loss": 0.8138, + "step": 30324 + }, + { + "epoch": 0.71, + "grad_norm": 1.8431719079621984, + "learning_rate": 3.980712298382141e-06, + "loss": 0.9227, + "step": 30325 + }, + { + "epoch": 0.71, + "grad_norm": 1.7825623030769553, + "learning_rate": 3.980102989632816e-06, + "loss": 0.8308, + "step": 30326 + }, + { + "epoch": 0.71, + "grad_norm": 1.5900710429118006, + "learning_rate": 3.979493715933238e-06, + "loss": 0.7855, + "step": 30327 + }, + { + "epoch": 0.71, + "grad_norm": 1.566806675738351, + "learning_rate": 3.978884477286956e-06, + "loss": 0.7651, + "step": 30328 + }, + { + "epoch": 0.71, + "grad_norm": 1.7512120083371419, + "learning_rate": 3.9782752736975165e-06, + "loss": 0.916, + "step": 30329 + }, + { + "epoch": 0.71, + "grad_norm": 1.518960154968118, + "learning_rate": 3.97766610516846e-06, + "loss": 0.8871, + "step": 30330 + }, + { + "epoch": 0.71, + "grad_norm": 2.0593394040212307, + "learning_rate": 3.977056971703342e-06, + "loss": 0.7948, + "step": 30331 + }, + { + "epoch": 0.71, + "grad_norm": 1.801052364995032, + "learning_rate": 3.9764478733057e-06, + "loss": 0.8003, + "step": 30332 + }, + { + "epoch": 0.71, + "grad_norm": 1.5681678082053712, + "learning_rate": 3.975838809979087e-06, + "loss": 0.7441, + "step": 30333 + }, + { + "epoch": 0.71, + "grad_norm": 1.6179210297637008, + "learning_rate": 3.975229781727052e-06, + "loss": 0.9129, + "step": 30334 + }, + { + "epoch": 0.71, + "grad_norm": 1.673284804051491, + "learning_rate": 3.974620788553135e-06, + "loss": 0.955, + "step": 30335 + }, + { + "epoch": 0.71, + "grad_norm": 1.7467747284520472, + "learning_rate": 3.97401183046088e-06, + "loss": 0.7809, + "step": 30336 + }, + { + "epoch": 0.71, + "grad_norm": 1.427483037394177, + "learning_rate": 3.973402907453837e-06, + "loss": 0.8943, + "step": 30337 + }, + { + "epoch": 0.71, + "grad_norm": 1.6964911102469853, + "learning_rate": 3.972794019535556e-06, + "loss": 0.7683, + "step": 30338 + }, + { + "epoch": 0.71, + "grad_norm": 1.734430349882786, + "learning_rate": 3.97218516670957e-06, + "loss": 0.855, + "step": 30339 + }, + { + "epoch": 0.71, + "grad_norm": 1.9306682064655183, + "learning_rate": 3.971576348979431e-06, + "loss": 0.781, + "step": 30340 + }, + { + "epoch": 0.71, + "grad_norm": 1.4719771560446293, + "learning_rate": 3.970967566348682e-06, + "loss": 0.8108, + "step": 30341 + }, + { + "epoch": 0.71, + "grad_norm": 1.45834024444004, + "learning_rate": 3.970358818820873e-06, + "loss": 0.7335, + "step": 30342 + }, + { + "epoch": 0.71, + "grad_norm": 1.6029274721760431, + "learning_rate": 3.9697501063995435e-06, + "loss": 0.9501, + "step": 30343 + }, + { + "epoch": 0.71, + "grad_norm": 1.7395455184132382, + "learning_rate": 3.969141429088235e-06, + "loss": 0.8068, + "step": 30344 + }, + { + "epoch": 0.71, + "grad_norm": 1.5348893513243027, + "learning_rate": 3.968532786890496e-06, + "loss": 0.8445, + "step": 30345 + }, + { + "epoch": 0.71, + "grad_norm": 1.514554570687896, + "learning_rate": 3.967924179809868e-06, + "loss": 0.8293, + "step": 30346 + }, + { + "epoch": 0.71, + "grad_norm": 1.6447285390259223, + "learning_rate": 3.9673156078498964e-06, + "loss": 0.735, + "step": 30347 + }, + { + "epoch": 0.71, + "grad_norm": 1.5735688393209917, + "learning_rate": 3.966707071014121e-06, + "loss": 0.7608, + "step": 30348 + }, + { + "epoch": 0.71, + "grad_norm": 1.65862773293195, + "learning_rate": 3.966098569306091e-06, + "loss": 0.9011, + "step": 30349 + }, + { + "epoch": 0.72, + "grad_norm": 2.1265222290685255, + "learning_rate": 3.9654901027293405e-06, + "loss": 0.8568, + "step": 30350 + }, + { + "epoch": 0.72, + "grad_norm": 0.7069221032067488, + "learning_rate": 3.964881671287422e-06, + "loss": 0.7132, + "step": 30351 + }, + { + "epoch": 0.72, + "grad_norm": 1.5722731337975153, + "learning_rate": 3.964273274983872e-06, + "loss": 0.7764, + "step": 30352 + }, + { + "epoch": 0.72, + "grad_norm": 1.6495020805255096, + "learning_rate": 3.963664913822231e-06, + "loss": 0.7779, + "step": 30353 + }, + { + "epoch": 0.72, + "grad_norm": 1.7235810346195048, + "learning_rate": 3.963056587806044e-06, + "loss": 0.8417, + "step": 30354 + }, + { + "epoch": 0.72, + "grad_norm": 1.4179070103536715, + "learning_rate": 3.962448296938854e-06, + "loss": 0.8245, + "step": 30355 + }, + { + "epoch": 0.72, + "grad_norm": 1.5376483269154666, + "learning_rate": 3.961840041224204e-06, + "loss": 0.7841, + "step": 30356 + }, + { + "epoch": 0.72, + "grad_norm": 1.7697437448720494, + "learning_rate": 3.96123182066563e-06, + "loss": 0.9044, + "step": 30357 + }, + { + "epoch": 0.72, + "grad_norm": 1.6465130058740027, + "learning_rate": 3.960623635266675e-06, + "loss": 0.8827, + "step": 30358 + }, + { + "epoch": 0.72, + "grad_norm": 0.8407395163219783, + "learning_rate": 3.960015485030885e-06, + "loss": 0.6679, + "step": 30359 + }, + { + "epoch": 0.72, + "grad_norm": 1.5744495618830967, + "learning_rate": 3.959407369961796e-06, + "loss": 0.7623, + "step": 30360 + }, + { + "epoch": 0.72, + "grad_norm": 1.558738510131151, + "learning_rate": 3.958799290062947e-06, + "loss": 0.7329, + "step": 30361 + }, + { + "epoch": 0.72, + "grad_norm": 2.0210732332312102, + "learning_rate": 3.958191245337881e-06, + "loss": 0.7333, + "step": 30362 + }, + { + "epoch": 0.72, + "grad_norm": 1.5109658435965272, + "learning_rate": 3.957583235790142e-06, + "loss": 0.9004, + "step": 30363 + }, + { + "epoch": 0.72, + "grad_norm": 2.196550099403384, + "learning_rate": 3.956975261423267e-06, + "loss": 0.973, + "step": 30364 + }, + { + "epoch": 0.72, + "grad_norm": 1.940276829147386, + "learning_rate": 3.956367322240792e-06, + "loss": 0.7753, + "step": 30365 + }, + { + "epoch": 0.72, + "grad_norm": 1.5038350487859355, + "learning_rate": 3.955759418246259e-06, + "loss": 0.8994, + "step": 30366 + }, + { + "epoch": 0.72, + "grad_norm": 1.4996172545021835, + "learning_rate": 3.955151549443211e-06, + "loss": 0.9064, + "step": 30367 + }, + { + "epoch": 0.72, + "grad_norm": 1.726502686663732, + "learning_rate": 3.954543715835185e-06, + "loss": 0.8592, + "step": 30368 + }, + { + "epoch": 0.72, + "grad_norm": 1.597292094489886, + "learning_rate": 3.953935917425716e-06, + "loss": 0.7242, + "step": 30369 + }, + { + "epoch": 0.72, + "grad_norm": 1.6924001960898922, + "learning_rate": 3.953328154218351e-06, + "loss": 0.7756, + "step": 30370 + }, + { + "epoch": 0.72, + "grad_norm": 0.7506882106548277, + "learning_rate": 3.952720426216618e-06, + "loss": 0.6945, + "step": 30371 + }, + { + "epoch": 0.72, + "grad_norm": 0.8033887389988679, + "learning_rate": 3.952112733424067e-06, + "loss": 0.6759, + "step": 30372 + }, + { + "epoch": 0.72, + "grad_norm": 0.7839757365458301, + "learning_rate": 3.951505075844225e-06, + "loss": 0.762, + "step": 30373 + }, + { + "epoch": 0.72, + "grad_norm": 1.9304178912302985, + "learning_rate": 3.95089745348064e-06, + "loss": 0.9257, + "step": 30374 + }, + { + "epoch": 0.72, + "grad_norm": 1.448056575202179, + "learning_rate": 3.950289866336842e-06, + "loss": 0.836, + "step": 30375 + }, + { + "epoch": 0.72, + "grad_norm": 1.7444877208721916, + "learning_rate": 3.949682314416374e-06, + "loss": 0.8534, + "step": 30376 + }, + { + "epoch": 0.72, + "grad_norm": 2.165217168800868, + "learning_rate": 3.9490747977227715e-06, + "loss": 0.8271, + "step": 30377 + }, + { + "epoch": 0.72, + "grad_norm": 1.9554491422114169, + "learning_rate": 3.948467316259569e-06, + "loss": 0.8861, + "step": 30378 + }, + { + "epoch": 0.72, + "grad_norm": 1.7949446770368453, + "learning_rate": 3.947859870030304e-06, + "loss": 0.8139, + "step": 30379 + }, + { + "epoch": 0.72, + "grad_norm": 2.4029583317111656, + "learning_rate": 3.947252459038519e-06, + "loss": 0.8062, + "step": 30380 + }, + { + "epoch": 0.72, + "grad_norm": 1.6414664467546884, + "learning_rate": 3.946645083287747e-06, + "loss": 0.989, + "step": 30381 + }, + { + "epoch": 0.72, + "grad_norm": 1.6051530322010077, + "learning_rate": 3.946037742781519e-06, + "loss": 0.9595, + "step": 30382 + }, + { + "epoch": 0.72, + "grad_norm": 9.423855062023762, + "learning_rate": 3.945430437523376e-06, + "loss": 0.8038, + "step": 30383 + }, + { + "epoch": 0.72, + "grad_norm": 1.8631424133015257, + "learning_rate": 3.9448231675168584e-06, + "loss": 0.7595, + "step": 30384 + }, + { + "epoch": 0.72, + "grad_norm": 0.9570930218649666, + "learning_rate": 3.944215932765498e-06, + "loss": 0.6858, + "step": 30385 + }, + { + "epoch": 0.72, + "grad_norm": 1.5689253729197017, + "learning_rate": 3.943608733272824e-06, + "loss": 0.8192, + "step": 30386 + }, + { + "epoch": 0.72, + "grad_norm": 1.5131430393718026, + "learning_rate": 3.943001569042378e-06, + "loss": 0.6652, + "step": 30387 + }, + { + "epoch": 0.72, + "grad_norm": 1.5239020446660088, + "learning_rate": 3.942394440077699e-06, + "loss": 0.7973, + "step": 30388 + }, + { + "epoch": 0.72, + "grad_norm": 1.7661468757199326, + "learning_rate": 3.9417873463823165e-06, + "loss": 0.8955, + "step": 30389 + }, + { + "epoch": 0.72, + "grad_norm": 1.5427797883855985, + "learning_rate": 3.941180287959763e-06, + "loss": 0.9162, + "step": 30390 + }, + { + "epoch": 0.72, + "grad_norm": 1.6403052604206185, + "learning_rate": 3.94057326481358e-06, + "loss": 0.856, + "step": 30391 + }, + { + "epoch": 0.72, + "grad_norm": 1.5539148387471098, + "learning_rate": 3.939966276947293e-06, + "loss": 0.7941, + "step": 30392 + }, + { + "epoch": 0.72, + "grad_norm": 1.6656348327761707, + "learning_rate": 3.939359324364445e-06, + "loss": 0.7401, + "step": 30393 + }, + { + "epoch": 0.72, + "grad_norm": 1.9468301756065571, + "learning_rate": 3.938752407068562e-06, + "loss": 0.8083, + "step": 30394 + }, + { + "epoch": 0.72, + "grad_norm": 1.6095181271192227, + "learning_rate": 3.9381455250631864e-06, + "loss": 0.8592, + "step": 30395 + }, + { + "epoch": 0.72, + "grad_norm": 0.8530221821154428, + "learning_rate": 3.937538678351842e-06, + "loss": 0.625, + "step": 30396 + }, + { + "epoch": 0.72, + "grad_norm": 1.52558921974745, + "learning_rate": 3.936931866938071e-06, + "loss": 0.9294, + "step": 30397 + }, + { + "epoch": 0.72, + "grad_norm": 1.6258845429078175, + "learning_rate": 3.9363250908254015e-06, + "loss": 0.8895, + "step": 30398 + }, + { + "epoch": 0.72, + "grad_norm": 1.660779072743801, + "learning_rate": 3.9357183500173635e-06, + "loss": 0.9337, + "step": 30399 + }, + { + "epoch": 0.72, + "grad_norm": 2.0987112688021305, + "learning_rate": 3.935111644517493e-06, + "loss": 0.9093, + "step": 30400 + }, + { + "epoch": 0.72, + "grad_norm": 1.640932048649683, + "learning_rate": 3.934504974329326e-06, + "loss": 0.8698, + "step": 30401 + }, + { + "epoch": 0.72, + "grad_norm": 1.7340080854212385, + "learning_rate": 3.933898339456392e-06, + "loss": 0.8806, + "step": 30402 + }, + { + "epoch": 0.72, + "grad_norm": 1.993420364026844, + "learning_rate": 3.9332917399022196e-06, + "loss": 0.8813, + "step": 30403 + }, + { + "epoch": 0.72, + "grad_norm": 1.712534495693896, + "learning_rate": 3.9326851756703425e-06, + "loss": 0.9741, + "step": 30404 + }, + { + "epoch": 0.72, + "grad_norm": 1.636118298212953, + "learning_rate": 3.932078646764297e-06, + "loss": 0.8228, + "step": 30405 + }, + { + "epoch": 0.72, + "grad_norm": 1.7210546114007803, + "learning_rate": 3.93147215318761e-06, + "loss": 0.8178, + "step": 30406 + }, + { + "epoch": 0.72, + "grad_norm": 2.1641498072892613, + "learning_rate": 3.930865694943809e-06, + "loss": 0.8482, + "step": 30407 + }, + { + "epoch": 0.72, + "grad_norm": 1.770154839490454, + "learning_rate": 3.930259272036432e-06, + "loss": 0.7899, + "step": 30408 + }, + { + "epoch": 0.72, + "grad_norm": 1.8363133254272133, + "learning_rate": 3.9296528844690085e-06, + "loss": 0.9805, + "step": 30409 + }, + { + "epoch": 0.72, + "grad_norm": 1.7214319908976126, + "learning_rate": 3.9290465322450685e-06, + "loss": 0.7249, + "step": 30410 + }, + { + "epoch": 0.72, + "grad_norm": 2.054899124061823, + "learning_rate": 3.9284402153681385e-06, + "loss": 0.9387, + "step": 30411 + }, + { + "epoch": 0.72, + "grad_norm": 0.8090163775052823, + "learning_rate": 3.927833933841755e-06, + "loss": 0.6867, + "step": 30412 + }, + { + "epoch": 0.72, + "grad_norm": 1.8051842297089844, + "learning_rate": 3.927227687669442e-06, + "loss": 0.9791, + "step": 30413 + }, + { + "epoch": 0.72, + "grad_norm": 1.692351214778529, + "learning_rate": 3.9266214768547335e-06, + "loss": 0.8505, + "step": 30414 + }, + { + "epoch": 0.72, + "grad_norm": 1.510880323444665, + "learning_rate": 3.926015301401156e-06, + "loss": 0.9181, + "step": 30415 + }, + { + "epoch": 0.72, + "grad_norm": 1.7324307050326715, + "learning_rate": 3.925409161312243e-06, + "loss": 0.7716, + "step": 30416 + }, + { + "epoch": 0.72, + "grad_norm": 1.4254424861935406, + "learning_rate": 3.924803056591517e-06, + "loss": 0.7966, + "step": 30417 + }, + { + "epoch": 0.72, + "grad_norm": 1.5895882231534946, + "learning_rate": 3.924196987242512e-06, + "loss": 0.7431, + "step": 30418 + }, + { + "epoch": 0.72, + "grad_norm": 1.554267147123075, + "learning_rate": 3.923590953268762e-06, + "loss": 0.7088, + "step": 30419 + }, + { + "epoch": 0.72, + "grad_norm": 2.121020563838409, + "learning_rate": 3.922984954673783e-06, + "loss": 0.8421, + "step": 30420 + }, + { + "epoch": 0.72, + "grad_norm": 1.8293202576591532, + "learning_rate": 3.92237899146111e-06, + "loss": 0.6999, + "step": 30421 + }, + { + "epoch": 0.72, + "grad_norm": 1.4999145640098885, + "learning_rate": 3.921773063634269e-06, + "loss": 0.8963, + "step": 30422 + }, + { + "epoch": 0.72, + "grad_norm": 1.4732565702083724, + "learning_rate": 3.921167171196798e-06, + "loss": 0.7278, + "step": 30423 + }, + { + "epoch": 0.72, + "grad_norm": 1.7691574897333937, + "learning_rate": 3.920561314152208e-06, + "loss": 0.824, + "step": 30424 + }, + { + "epoch": 0.72, + "grad_norm": 0.750144897467453, + "learning_rate": 3.919955492504036e-06, + "loss": 0.7305, + "step": 30425 + }, + { + "epoch": 0.72, + "grad_norm": 1.6549339631515125, + "learning_rate": 3.91934970625581e-06, + "loss": 0.8716, + "step": 30426 + }, + { + "epoch": 0.72, + "grad_norm": 1.9118409231671776, + "learning_rate": 3.918743955411057e-06, + "loss": 0.816, + "step": 30427 + }, + { + "epoch": 0.72, + "grad_norm": 1.46303649351047, + "learning_rate": 3.918138239973297e-06, + "loss": 0.7252, + "step": 30428 + }, + { + "epoch": 0.72, + "grad_norm": 1.8133962804722965, + "learning_rate": 3.917532559946062e-06, + "loss": 0.8372, + "step": 30429 + }, + { + "epoch": 0.72, + "grad_norm": 1.6822305152071664, + "learning_rate": 3.916926915332882e-06, + "loss": 0.8466, + "step": 30430 + }, + { + "epoch": 0.72, + "grad_norm": 1.8513303605973084, + "learning_rate": 3.916321306137276e-06, + "loss": 0.8258, + "step": 30431 + }, + { + "epoch": 0.72, + "grad_norm": 1.753883312200533, + "learning_rate": 3.915715732362777e-06, + "loss": 0.8115, + "step": 30432 + }, + { + "epoch": 0.72, + "grad_norm": 1.9713743902174672, + "learning_rate": 3.915110194012907e-06, + "loss": 0.7857, + "step": 30433 + }, + { + "epoch": 0.72, + "grad_norm": 1.6388726429894782, + "learning_rate": 3.914504691091188e-06, + "loss": 0.8087, + "step": 30434 + }, + { + "epoch": 0.72, + "grad_norm": 1.5030346126054084, + "learning_rate": 3.913899223601149e-06, + "loss": 0.9635, + "step": 30435 + }, + { + "epoch": 0.72, + "grad_norm": 1.5113087143539499, + "learning_rate": 3.91329379154632e-06, + "loss": 0.7487, + "step": 30436 + }, + { + "epoch": 0.72, + "grad_norm": 1.534370376043596, + "learning_rate": 3.912688394930221e-06, + "loss": 0.8866, + "step": 30437 + }, + { + "epoch": 0.72, + "grad_norm": 1.5016806693532567, + "learning_rate": 3.912083033756374e-06, + "loss": 0.8445, + "step": 30438 + }, + { + "epoch": 0.72, + "grad_norm": 0.817526790523435, + "learning_rate": 3.911477708028308e-06, + "loss": 0.6553, + "step": 30439 + }, + { + "epoch": 0.72, + "grad_norm": 1.675151870031959, + "learning_rate": 3.910872417749548e-06, + "loss": 0.833, + "step": 30440 + }, + { + "epoch": 0.72, + "grad_norm": 2.0242189513675304, + "learning_rate": 3.910267162923618e-06, + "loss": 0.7554, + "step": 30441 + }, + { + "epoch": 0.72, + "grad_norm": 1.8275183558577737, + "learning_rate": 3.909661943554036e-06, + "loss": 0.7955, + "step": 30442 + }, + { + "epoch": 0.72, + "grad_norm": 1.4604601570282223, + "learning_rate": 3.909056759644331e-06, + "loss": 0.7584, + "step": 30443 + }, + { + "epoch": 0.72, + "grad_norm": 1.9975042110926449, + "learning_rate": 3.9084516111980285e-06, + "loss": 0.8319, + "step": 30444 + }, + { + "epoch": 0.72, + "grad_norm": 1.8686109281242276, + "learning_rate": 3.9078464982186505e-06, + "loss": 0.9155, + "step": 30445 + }, + { + "epoch": 0.72, + "grad_norm": 1.493329396533654, + "learning_rate": 3.907241420709716e-06, + "loss": 0.8285, + "step": 30446 + }, + { + "epoch": 0.72, + "grad_norm": 1.4416818747970717, + "learning_rate": 3.906636378674752e-06, + "loss": 0.8026, + "step": 30447 + }, + { + "epoch": 0.72, + "grad_norm": 1.7554772361669146, + "learning_rate": 3.906031372117278e-06, + "loss": 0.7121, + "step": 30448 + }, + { + "epoch": 0.72, + "grad_norm": 1.5688745494385796, + "learning_rate": 3.905426401040823e-06, + "loss": 0.7487, + "step": 30449 + }, + { + "epoch": 0.72, + "grad_norm": 1.6166294239128183, + "learning_rate": 3.9048214654489e-06, + "loss": 0.7753, + "step": 30450 + }, + { + "epoch": 0.72, + "grad_norm": 1.5585855956823318, + "learning_rate": 3.90421656534504e-06, + "loss": 0.9404, + "step": 30451 + }, + { + "epoch": 0.72, + "grad_norm": 0.7610744866637682, + "learning_rate": 3.903611700732758e-06, + "loss": 0.6733, + "step": 30452 + }, + { + "epoch": 0.72, + "grad_norm": 2.1064639321129013, + "learning_rate": 3.903006871615582e-06, + "loss": 0.7944, + "step": 30453 + }, + { + "epoch": 0.72, + "grad_norm": 1.7776499894102131, + "learning_rate": 3.9024020779970305e-06, + "loss": 0.666, + "step": 30454 + }, + { + "epoch": 0.72, + "grad_norm": 0.8000000847008732, + "learning_rate": 3.901797319880622e-06, + "loss": 0.681, + "step": 30455 + }, + { + "epoch": 0.72, + "grad_norm": 1.449760879764098, + "learning_rate": 3.901192597269878e-06, + "loss": 0.8307, + "step": 30456 + }, + { + "epoch": 0.72, + "grad_norm": 1.52906285603435, + "learning_rate": 3.9005879101683266e-06, + "loss": 0.8377, + "step": 30457 + }, + { + "epoch": 0.72, + "grad_norm": 1.63019950660105, + "learning_rate": 3.899983258579483e-06, + "loss": 0.8433, + "step": 30458 + }, + { + "epoch": 0.72, + "grad_norm": 1.777075600045917, + "learning_rate": 3.899378642506863e-06, + "loss": 0.8943, + "step": 30459 + }, + { + "epoch": 0.72, + "grad_norm": 1.8331758128134945, + "learning_rate": 3.898774061953995e-06, + "loss": 0.8907, + "step": 30460 + }, + { + "epoch": 0.72, + "grad_norm": 1.5196677722514904, + "learning_rate": 3.8981695169243986e-06, + "loss": 0.9439, + "step": 30461 + }, + { + "epoch": 0.72, + "grad_norm": 1.9531778928628065, + "learning_rate": 3.89756500742159e-06, + "loss": 0.8656, + "step": 30462 + }, + { + "epoch": 0.72, + "grad_norm": 1.5727634727941489, + "learning_rate": 3.896960533449087e-06, + "loss": 0.7656, + "step": 30463 + }, + { + "epoch": 0.72, + "grad_norm": 1.4657060524948515, + "learning_rate": 3.896356095010412e-06, + "loss": 0.7758, + "step": 30464 + }, + { + "epoch": 0.72, + "grad_norm": 1.7263848849353065, + "learning_rate": 3.895751692109087e-06, + "loss": 0.8409, + "step": 30465 + }, + { + "epoch": 0.72, + "grad_norm": 1.715683292030655, + "learning_rate": 3.895147324748629e-06, + "loss": 0.8721, + "step": 30466 + }, + { + "epoch": 0.72, + "grad_norm": 1.8696848449560364, + "learning_rate": 3.894542992932553e-06, + "loss": 0.8156, + "step": 30467 + }, + { + "epoch": 0.72, + "grad_norm": 1.8786033377802165, + "learning_rate": 3.893938696664383e-06, + "loss": 0.9335, + "step": 30468 + }, + { + "epoch": 0.72, + "grad_norm": 1.9608210554851446, + "learning_rate": 3.893334435947632e-06, + "loss": 0.7463, + "step": 30469 + }, + { + "epoch": 0.72, + "grad_norm": 1.6682660431644771, + "learning_rate": 3.892730210785825e-06, + "loss": 0.8039, + "step": 30470 + }, + { + "epoch": 0.72, + "grad_norm": 1.533600935059688, + "learning_rate": 3.892126021182473e-06, + "loss": 0.6497, + "step": 30471 + }, + { + "epoch": 0.72, + "grad_norm": 1.4373841509309813, + "learning_rate": 3.891521867141099e-06, + "loss": 0.7785, + "step": 30472 + }, + { + "epoch": 0.72, + "grad_norm": 2.4436329794483385, + "learning_rate": 3.890917748665217e-06, + "loss": 0.8304, + "step": 30473 + }, + { + "epoch": 0.72, + "grad_norm": 1.6713349292252682, + "learning_rate": 3.890313665758348e-06, + "loss": 0.9021, + "step": 30474 + }, + { + "epoch": 0.72, + "grad_norm": 2.0485115526184257, + "learning_rate": 3.889709618424008e-06, + "loss": 0.7705, + "step": 30475 + }, + { + "epoch": 0.72, + "grad_norm": 1.559146681516514, + "learning_rate": 3.889105606665709e-06, + "loss": 0.7247, + "step": 30476 + }, + { + "epoch": 0.72, + "grad_norm": 0.7660160766798224, + "learning_rate": 3.888501630486973e-06, + "loss": 0.6803, + "step": 30477 + }, + { + "epoch": 0.72, + "grad_norm": 2.105055927776465, + "learning_rate": 3.887897689891318e-06, + "loss": 0.6813, + "step": 30478 + }, + { + "epoch": 0.72, + "grad_norm": 1.5424488246232757, + "learning_rate": 3.887293784882258e-06, + "loss": 0.8318, + "step": 30479 + }, + { + "epoch": 0.72, + "grad_norm": 1.6465860079641563, + "learning_rate": 3.886689915463305e-06, + "loss": 1.0229, + "step": 30480 + }, + { + "epoch": 0.72, + "grad_norm": 1.797916627773139, + "learning_rate": 3.886086081637979e-06, + "loss": 0.8418, + "step": 30481 + }, + { + "epoch": 0.72, + "grad_norm": 1.6089008504698432, + "learning_rate": 3.8854822834097985e-06, + "loss": 0.9056, + "step": 30482 + }, + { + "epoch": 0.72, + "grad_norm": 0.7583189191716949, + "learning_rate": 3.884878520782277e-06, + "loss": 0.7171, + "step": 30483 + }, + { + "epoch": 0.72, + "grad_norm": 1.6176380615589323, + "learning_rate": 3.884274793758924e-06, + "loss": 0.8516, + "step": 30484 + }, + { + "epoch": 0.72, + "grad_norm": 1.600474926181718, + "learning_rate": 3.88367110234326e-06, + "loss": 0.9291, + "step": 30485 + }, + { + "epoch": 0.72, + "grad_norm": 1.8769228225851036, + "learning_rate": 3.883067446538803e-06, + "loss": 1.0087, + "step": 30486 + }, + { + "epoch": 0.72, + "grad_norm": 1.9507621434513596, + "learning_rate": 3.8824638263490635e-06, + "loss": 0.9124, + "step": 30487 + }, + { + "epoch": 0.72, + "grad_norm": 1.5896476590736943, + "learning_rate": 3.881860241777553e-06, + "loss": 0.9104, + "step": 30488 + }, + { + "epoch": 0.72, + "grad_norm": 1.7395746857344967, + "learning_rate": 3.88125669282779e-06, + "loss": 0.853, + "step": 30489 + }, + { + "epoch": 0.72, + "grad_norm": 1.5351385050411128, + "learning_rate": 3.88065317950329e-06, + "loss": 0.8253, + "step": 30490 + }, + { + "epoch": 0.72, + "grad_norm": 1.5124740921936217, + "learning_rate": 3.8800497018075645e-06, + "loss": 0.7356, + "step": 30491 + }, + { + "epoch": 0.72, + "grad_norm": 2.1205285475539655, + "learning_rate": 3.879446259744124e-06, + "loss": 0.9065, + "step": 30492 + }, + { + "epoch": 0.72, + "grad_norm": 1.6356261138868722, + "learning_rate": 3.878842853316489e-06, + "loss": 0.7831, + "step": 30493 + }, + { + "epoch": 0.72, + "grad_norm": 1.7759897779660565, + "learning_rate": 3.878239482528164e-06, + "loss": 0.8375, + "step": 30494 + }, + { + "epoch": 0.72, + "grad_norm": 1.5821952757052686, + "learning_rate": 3.877636147382672e-06, + "loss": 0.8341, + "step": 30495 + }, + { + "epoch": 0.72, + "grad_norm": 1.6943345590862031, + "learning_rate": 3.877032847883516e-06, + "loss": 0.8907, + "step": 30496 + }, + { + "epoch": 0.72, + "grad_norm": 1.4392463653545429, + "learning_rate": 3.876429584034218e-06, + "loss": 0.8068, + "step": 30497 + }, + { + "epoch": 0.72, + "grad_norm": 7.110195454690816, + "learning_rate": 3.875826355838282e-06, + "loss": 0.9326, + "step": 30498 + }, + { + "epoch": 0.72, + "grad_norm": 1.5399819344892864, + "learning_rate": 3.8752231632992254e-06, + "loss": 0.8179, + "step": 30499 + }, + { + "epoch": 0.72, + "grad_norm": 1.5648071769147034, + "learning_rate": 3.87462000642056e-06, + "loss": 0.8483, + "step": 30500 + }, + { + "epoch": 0.72, + "grad_norm": 1.6711226771780998, + "learning_rate": 3.874016885205793e-06, + "loss": 0.979, + "step": 30501 + }, + { + "epoch": 0.72, + "grad_norm": 1.7653595898268437, + "learning_rate": 3.873413799658438e-06, + "loss": 0.9232, + "step": 30502 + }, + { + "epoch": 0.72, + "grad_norm": 1.7621742474985822, + "learning_rate": 3.872810749782009e-06, + "loss": 0.8991, + "step": 30503 + }, + { + "epoch": 0.72, + "grad_norm": 2.0423530988292167, + "learning_rate": 3.8722077355800225e-06, + "loss": 0.8789, + "step": 30504 + }, + { + "epoch": 0.72, + "grad_norm": 1.5152250440546682, + "learning_rate": 3.871604757055974e-06, + "loss": 0.8815, + "step": 30505 + }, + { + "epoch": 0.72, + "grad_norm": 1.450222588051428, + "learning_rate": 3.8710018142133844e-06, + "loss": 0.751, + "step": 30506 + }, + { + "epoch": 0.72, + "grad_norm": 1.4763624685385597, + "learning_rate": 3.870398907055766e-06, + "loss": 0.9225, + "step": 30507 + }, + { + "epoch": 0.72, + "grad_norm": 1.6529542980055936, + "learning_rate": 3.869796035586625e-06, + "loss": 0.8535, + "step": 30508 + }, + { + "epoch": 0.72, + "grad_norm": 1.7277897420546258, + "learning_rate": 3.869193199809469e-06, + "loss": 0.8846, + "step": 30509 + }, + { + "epoch": 0.72, + "grad_norm": 1.8929328248530126, + "learning_rate": 3.8685903997278115e-06, + "loss": 0.7867, + "step": 30510 + }, + { + "epoch": 0.72, + "grad_norm": 1.7874502151093943, + "learning_rate": 3.867987635345165e-06, + "loss": 0.8795, + "step": 30511 + }, + { + "epoch": 0.72, + "grad_norm": 2.1584517683092885, + "learning_rate": 3.867384906665036e-06, + "loss": 0.7006, + "step": 30512 + }, + { + "epoch": 0.72, + "grad_norm": 2.5807451576706995, + "learning_rate": 3.8667822136909304e-06, + "loss": 0.7272, + "step": 30513 + }, + { + "epoch": 0.72, + "grad_norm": 1.6867488695993507, + "learning_rate": 3.866179556426364e-06, + "loss": 0.922, + "step": 30514 + }, + { + "epoch": 0.72, + "grad_norm": 1.4512593926967357, + "learning_rate": 3.865576934874839e-06, + "loss": 0.7882, + "step": 30515 + }, + { + "epoch": 0.72, + "grad_norm": 1.5208314247374868, + "learning_rate": 3.864974349039866e-06, + "loss": 0.7402, + "step": 30516 + }, + { + "epoch": 0.72, + "grad_norm": 1.7090661755977987, + "learning_rate": 3.8643717989249585e-06, + "loss": 0.9515, + "step": 30517 + }, + { + "epoch": 0.72, + "grad_norm": 1.7538696964235254, + "learning_rate": 3.863769284533622e-06, + "loss": 0.926, + "step": 30518 + }, + { + "epoch": 0.72, + "grad_norm": 1.5839297805040153, + "learning_rate": 3.8631668058693585e-06, + "loss": 0.8414, + "step": 30519 + }, + { + "epoch": 0.72, + "grad_norm": 2.0854071674933716, + "learning_rate": 3.862564362935681e-06, + "loss": 0.984, + "step": 30520 + }, + { + "epoch": 0.72, + "grad_norm": 1.6887035683184075, + "learning_rate": 3.8619619557361044e-06, + "loss": 0.7745, + "step": 30521 + }, + { + "epoch": 0.72, + "grad_norm": 1.7669885371113192, + "learning_rate": 3.861359584274122e-06, + "loss": 0.8417, + "step": 30522 + }, + { + "epoch": 0.72, + "grad_norm": 1.7827594812745193, + "learning_rate": 3.860757248553247e-06, + "loss": 1.0085, + "step": 30523 + }, + { + "epoch": 0.72, + "grad_norm": 1.5817389767926648, + "learning_rate": 3.8601549485769865e-06, + "loss": 0.8484, + "step": 30524 + }, + { + "epoch": 0.72, + "grad_norm": 1.5078494357044065, + "learning_rate": 3.8595526843488515e-06, + "loss": 0.8807, + "step": 30525 + }, + { + "epoch": 0.72, + "grad_norm": 1.521052707350212, + "learning_rate": 3.858950455872344e-06, + "loss": 0.9551, + "step": 30526 + }, + { + "epoch": 0.72, + "grad_norm": 0.7772595466902259, + "learning_rate": 3.8583482631509695e-06, + "loss": 0.7573, + "step": 30527 + }, + { + "epoch": 0.72, + "grad_norm": 1.511725920290847, + "learning_rate": 3.857746106188238e-06, + "loss": 0.7781, + "step": 30528 + }, + { + "epoch": 0.72, + "grad_norm": 1.4425627295416679, + "learning_rate": 3.85714398498765e-06, + "loss": 0.8979, + "step": 30529 + }, + { + "epoch": 0.72, + "grad_norm": 1.395419642411476, + "learning_rate": 3.8565418995527185e-06, + "loss": 0.8331, + "step": 30530 + }, + { + "epoch": 0.72, + "grad_norm": 1.6734448184639217, + "learning_rate": 3.8559398498869416e-06, + "loss": 0.8785, + "step": 30531 + }, + { + "epoch": 0.72, + "grad_norm": 1.6029301117002526, + "learning_rate": 3.855337835993831e-06, + "loss": 0.9045, + "step": 30532 + }, + { + "epoch": 0.72, + "grad_norm": 1.6532428860489952, + "learning_rate": 3.8547358578768854e-06, + "loss": 0.9026, + "step": 30533 + }, + { + "epoch": 0.72, + "grad_norm": 1.9128336206521896, + "learning_rate": 3.854133915539617e-06, + "loss": 0.7036, + "step": 30534 + }, + { + "epoch": 0.72, + "grad_norm": 1.6219274234842413, + "learning_rate": 3.853532008985527e-06, + "loss": 0.8587, + "step": 30535 + }, + { + "epoch": 0.72, + "grad_norm": 1.6632280180366066, + "learning_rate": 3.852930138218115e-06, + "loss": 0.8672, + "step": 30536 + }, + { + "epoch": 0.72, + "grad_norm": 1.7433971905624257, + "learning_rate": 3.852328303240891e-06, + "loss": 0.78, + "step": 30537 + }, + { + "epoch": 0.72, + "grad_norm": 0.7839682494293476, + "learning_rate": 3.8517265040573606e-06, + "loss": 0.7098, + "step": 30538 + }, + { + "epoch": 0.72, + "grad_norm": 1.7773236755171447, + "learning_rate": 3.851124740671026e-06, + "loss": 0.9651, + "step": 30539 + }, + { + "epoch": 0.72, + "grad_norm": 1.729765402647794, + "learning_rate": 3.850523013085385e-06, + "loss": 0.8378, + "step": 30540 + }, + { + "epoch": 0.72, + "grad_norm": 1.654009477359405, + "learning_rate": 3.849921321303947e-06, + "loss": 0.8651, + "step": 30541 + }, + { + "epoch": 0.72, + "grad_norm": 1.5881393639815347, + "learning_rate": 3.849319665330218e-06, + "loss": 0.7887, + "step": 30542 + }, + { + "epoch": 0.72, + "grad_norm": 1.4642083916033384, + "learning_rate": 3.848718045167695e-06, + "loss": 0.8398, + "step": 30543 + }, + { + "epoch": 0.72, + "grad_norm": 1.8410509124111718, + "learning_rate": 3.848116460819882e-06, + "loss": 0.8155, + "step": 30544 + }, + { + "epoch": 0.72, + "grad_norm": 1.5123338300908307, + "learning_rate": 3.8475149122902815e-06, + "loss": 0.7825, + "step": 30545 + }, + { + "epoch": 0.72, + "grad_norm": 1.4631699866031196, + "learning_rate": 3.846913399582401e-06, + "loss": 0.6559, + "step": 30546 + }, + { + "epoch": 0.72, + "grad_norm": 1.5345145711567985, + "learning_rate": 3.846311922699738e-06, + "loss": 0.8206, + "step": 30547 + }, + { + "epoch": 0.72, + "grad_norm": 1.4952562967121084, + "learning_rate": 3.845710481645793e-06, + "loss": 0.7343, + "step": 30548 + }, + { + "epoch": 0.72, + "grad_norm": 1.6161366583575645, + "learning_rate": 3.845109076424071e-06, + "loss": 0.8654, + "step": 30549 + }, + { + "epoch": 0.72, + "grad_norm": 1.4864378128842357, + "learning_rate": 3.844507707038071e-06, + "loss": 0.888, + "step": 30550 + }, + { + "epoch": 0.72, + "grad_norm": 1.6285993486831387, + "learning_rate": 3.843906373491299e-06, + "loss": 0.8687, + "step": 30551 + }, + { + "epoch": 0.72, + "grad_norm": 1.5941451307812677, + "learning_rate": 3.843305075787249e-06, + "loss": 0.8962, + "step": 30552 + }, + { + "epoch": 0.72, + "grad_norm": 1.5411919070047428, + "learning_rate": 3.8427038139294304e-06, + "loss": 0.8914, + "step": 30553 + }, + { + "epoch": 0.72, + "grad_norm": 2.5400597308249107, + "learning_rate": 3.842102587921336e-06, + "loss": 0.872, + "step": 30554 + }, + { + "epoch": 0.72, + "grad_norm": 1.5536228329681818, + "learning_rate": 3.841501397766474e-06, + "loss": 0.6561, + "step": 30555 + }, + { + "epoch": 0.72, + "grad_norm": 2.7489017268110776, + "learning_rate": 3.84090024346834e-06, + "loss": 0.8982, + "step": 30556 + }, + { + "epoch": 0.72, + "grad_norm": 1.684034332463015, + "learning_rate": 3.84029912503043e-06, + "loss": 1.0363, + "step": 30557 + }, + { + "epoch": 0.72, + "grad_norm": 1.8475340179377757, + "learning_rate": 3.83969804245625e-06, + "loss": 0.8034, + "step": 30558 + }, + { + "epoch": 0.72, + "grad_norm": 1.579400149357194, + "learning_rate": 3.839096995749302e-06, + "loss": 0.9522, + "step": 30559 + }, + { + "epoch": 0.72, + "grad_norm": 1.6133401750787382, + "learning_rate": 3.838495984913081e-06, + "loss": 0.795, + "step": 30560 + }, + { + "epoch": 0.72, + "grad_norm": 1.6968087951743485, + "learning_rate": 3.8378950099510835e-06, + "loss": 0.7136, + "step": 30561 + }, + { + "epoch": 0.72, + "grad_norm": 0.8110082955515713, + "learning_rate": 3.837294070866812e-06, + "loss": 0.7076, + "step": 30562 + }, + { + "epoch": 0.72, + "grad_norm": 1.707410359594707, + "learning_rate": 3.83669316766377e-06, + "loss": 0.8222, + "step": 30563 + }, + { + "epoch": 0.72, + "grad_norm": 1.679787665096715, + "learning_rate": 3.8360923003454505e-06, + "loss": 0.7445, + "step": 30564 + }, + { + "epoch": 0.72, + "grad_norm": 1.6504190959005336, + "learning_rate": 3.835491468915351e-06, + "loss": 0.8887, + "step": 30565 + }, + { + "epoch": 0.72, + "grad_norm": 1.9139727235529727, + "learning_rate": 3.834890673376971e-06, + "loss": 0.8854, + "step": 30566 + }, + { + "epoch": 0.72, + "grad_norm": 1.4028192691590928, + "learning_rate": 3.834289913733813e-06, + "loss": 0.7507, + "step": 30567 + }, + { + "epoch": 0.72, + "grad_norm": 1.7203555977015954, + "learning_rate": 3.83368918998937e-06, + "loss": 0.8888, + "step": 30568 + }, + { + "epoch": 0.72, + "grad_norm": 1.5100633775719716, + "learning_rate": 3.833088502147139e-06, + "loss": 0.8896, + "step": 30569 + }, + { + "epoch": 0.72, + "grad_norm": 0.7342813928260759, + "learning_rate": 3.832487850210622e-06, + "loss": 0.7174, + "step": 30570 + }, + { + "epoch": 0.72, + "grad_norm": 1.73045886204219, + "learning_rate": 3.83188723418331e-06, + "loss": 0.8543, + "step": 30571 + }, + { + "epoch": 0.72, + "grad_norm": 1.4803348635786007, + "learning_rate": 3.831286654068706e-06, + "loss": 0.7542, + "step": 30572 + }, + { + "epoch": 0.72, + "grad_norm": 0.8106533208288272, + "learning_rate": 3.830686109870302e-06, + "loss": 0.6807, + "step": 30573 + }, + { + "epoch": 0.72, + "grad_norm": 1.6885287860652167, + "learning_rate": 3.830085601591599e-06, + "loss": 0.8225, + "step": 30574 + }, + { + "epoch": 0.72, + "grad_norm": 1.725757308704205, + "learning_rate": 3.829485129236088e-06, + "loss": 0.7829, + "step": 30575 + }, + { + "epoch": 0.72, + "grad_norm": 1.712350190931149, + "learning_rate": 3.8288846928072705e-06, + "loss": 0.748, + "step": 30576 + }, + { + "epoch": 0.72, + "grad_norm": 1.580181962088915, + "learning_rate": 3.8282842923086415e-06, + "loss": 0.8717, + "step": 30577 + }, + { + "epoch": 0.72, + "grad_norm": 1.742689301464924, + "learning_rate": 3.827683927743692e-06, + "loss": 0.9028, + "step": 30578 + }, + { + "epoch": 0.72, + "grad_norm": 1.5271313290842745, + "learning_rate": 3.8270835991159195e-06, + "loss": 0.6725, + "step": 30579 + }, + { + "epoch": 0.72, + "grad_norm": 1.608032345328359, + "learning_rate": 3.826483306428824e-06, + "loss": 0.9461, + "step": 30580 + }, + { + "epoch": 0.72, + "grad_norm": 1.4364463812147572, + "learning_rate": 3.8258830496858975e-06, + "loss": 0.8655, + "step": 30581 + }, + { + "epoch": 0.72, + "grad_norm": 1.8199464946823214, + "learning_rate": 3.825282828890632e-06, + "loss": 0.9217, + "step": 30582 + }, + { + "epoch": 0.72, + "grad_norm": 1.5995284480032241, + "learning_rate": 3.824682644046524e-06, + "loss": 0.8155, + "step": 30583 + }, + { + "epoch": 0.72, + "grad_norm": 1.5535752021104348, + "learning_rate": 3.824082495157073e-06, + "loss": 0.8645, + "step": 30584 + }, + { + "epoch": 0.72, + "grad_norm": 1.4966790378644566, + "learning_rate": 3.823482382225768e-06, + "loss": 0.8867, + "step": 30585 + }, + { + "epoch": 0.72, + "grad_norm": 1.4576320665451914, + "learning_rate": 3.822882305256101e-06, + "loss": 0.7575, + "step": 30586 + }, + { + "epoch": 0.72, + "grad_norm": 2.1143005641530936, + "learning_rate": 3.822282264251569e-06, + "loss": 0.8689, + "step": 30587 + }, + { + "epoch": 0.72, + "grad_norm": 1.4307539665483295, + "learning_rate": 3.8216822592156685e-06, + "loss": 0.7369, + "step": 30588 + }, + { + "epoch": 0.72, + "grad_norm": 1.488194115392705, + "learning_rate": 3.8210822901518904e-06, + "loss": 0.7986, + "step": 30589 + }, + { + "epoch": 0.72, + "grad_norm": 1.5900723759352458, + "learning_rate": 3.820482357063724e-06, + "loss": 0.846, + "step": 30590 + }, + { + "epoch": 0.72, + "grad_norm": 1.659912499194065, + "learning_rate": 3.819882459954668e-06, + "loss": 0.8869, + "step": 30591 + }, + { + "epoch": 0.72, + "grad_norm": 1.5350377196352663, + "learning_rate": 3.819282598828211e-06, + "loss": 0.8481, + "step": 30592 + }, + { + "epoch": 0.72, + "grad_norm": 1.5579503594702937, + "learning_rate": 3.8186827736878505e-06, + "loss": 0.7803, + "step": 30593 + }, + { + "epoch": 0.72, + "grad_norm": 1.59347349298449, + "learning_rate": 3.8180829845370714e-06, + "loss": 0.9345, + "step": 30594 + }, + { + "epoch": 0.72, + "grad_norm": 1.48666144314756, + "learning_rate": 3.817483231379375e-06, + "loss": 0.8639, + "step": 30595 + }, + { + "epoch": 0.72, + "grad_norm": 1.576313968099381, + "learning_rate": 3.816883514218245e-06, + "loss": 0.8992, + "step": 30596 + }, + { + "epoch": 0.72, + "grad_norm": 1.4091241307866114, + "learning_rate": 3.816283833057179e-06, + "loss": 0.8687, + "step": 30597 + }, + { + "epoch": 0.72, + "grad_norm": 0.7379251513722993, + "learning_rate": 3.815684187899668e-06, + "loss": 0.7281, + "step": 30598 + }, + { + "epoch": 0.72, + "grad_norm": 1.8386171669398093, + "learning_rate": 3.815084578749197e-06, + "loss": 0.7715, + "step": 30599 + }, + { + "epoch": 0.72, + "grad_norm": 2.407926450993732, + "learning_rate": 3.814485005609262e-06, + "loss": 0.8224, + "step": 30600 + }, + { + "epoch": 0.72, + "grad_norm": 1.6530136330339285, + "learning_rate": 3.8138854684833537e-06, + "loss": 1.1203, + "step": 30601 + }, + { + "epoch": 0.72, + "grad_norm": 1.6354184740108206, + "learning_rate": 3.8132859673749688e-06, + "loss": 0.7992, + "step": 30602 + }, + { + "epoch": 0.72, + "grad_norm": 1.5795725821321314, + "learning_rate": 3.8126865022875858e-06, + "loss": 0.811, + "step": 30603 + }, + { + "epoch": 0.72, + "grad_norm": 1.723953598216501, + "learning_rate": 3.812087073224701e-06, + "loss": 0.7513, + "step": 30604 + }, + { + "epoch": 0.72, + "grad_norm": 2.0804031401621765, + "learning_rate": 3.8114876801898036e-06, + "loss": 0.8262, + "step": 30605 + }, + { + "epoch": 0.72, + "grad_norm": 1.5604183765863282, + "learning_rate": 3.810888323186391e-06, + "loss": 0.8355, + "step": 30606 + }, + { + "epoch": 0.72, + "grad_norm": 1.5544286682537982, + "learning_rate": 3.8102890022179393e-06, + "loss": 0.7199, + "step": 30607 + }, + { + "epoch": 0.72, + "grad_norm": 1.5342664165221822, + "learning_rate": 3.809689717287944e-06, + "loss": 0.8468, + "step": 30608 + }, + { + "epoch": 0.72, + "grad_norm": 0.7833125629642959, + "learning_rate": 3.8090904683998997e-06, + "loss": 0.719, + "step": 30609 + }, + { + "epoch": 0.72, + "grad_norm": 1.4521660695652185, + "learning_rate": 3.8084912555572907e-06, + "loss": 0.8119, + "step": 30610 + }, + { + "epoch": 0.72, + "grad_norm": 1.7095950779000315, + "learning_rate": 3.807892078763602e-06, + "loss": 0.8612, + "step": 30611 + }, + { + "epoch": 0.72, + "grad_norm": 1.5512164293379385, + "learning_rate": 3.8072929380223256e-06, + "loss": 0.9347, + "step": 30612 + }, + { + "epoch": 0.72, + "grad_norm": 1.8722963809157023, + "learning_rate": 3.8066938333369542e-06, + "loss": 0.8501, + "step": 30613 + }, + { + "epoch": 0.72, + "grad_norm": 1.7578063921524267, + "learning_rate": 3.806094764710968e-06, + "loss": 0.8803, + "step": 30614 + }, + { + "epoch": 0.72, + "grad_norm": 1.5044356724017522, + "learning_rate": 3.8054957321478623e-06, + "loss": 0.8324, + "step": 30615 + }, + { + "epoch": 0.72, + "grad_norm": 1.5682649279284908, + "learning_rate": 3.8048967356511234e-06, + "loss": 0.9034, + "step": 30616 + }, + { + "epoch": 0.72, + "grad_norm": 1.7115391115888172, + "learning_rate": 3.8042977752242315e-06, + "loss": 0.8896, + "step": 30617 + }, + { + "epoch": 0.72, + "grad_norm": 1.6487471788174217, + "learning_rate": 3.803698850870681e-06, + "loss": 0.9504, + "step": 30618 + }, + { + "epoch": 0.72, + "grad_norm": 0.790445096364078, + "learning_rate": 3.8030999625939604e-06, + "loss": 0.6742, + "step": 30619 + }, + { + "epoch": 0.72, + "grad_norm": 1.9404849598067428, + "learning_rate": 3.802501110397553e-06, + "loss": 0.8791, + "step": 30620 + }, + { + "epoch": 0.72, + "grad_norm": 1.61397919169381, + "learning_rate": 3.8019022942849436e-06, + "loss": 0.7756, + "step": 30621 + }, + { + "epoch": 0.72, + "grad_norm": 1.493205585855114, + "learning_rate": 3.8013035142596213e-06, + "loss": 0.8117, + "step": 30622 + }, + { + "epoch": 0.72, + "grad_norm": 1.9348148443721052, + "learning_rate": 3.8007047703250756e-06, + "loss": 0.8166, + "step": 30623 + }, + { + "epoch": 0.72, + "grad_norm": 1.6100401251526646, + "learning_rate": 3.8001060624847896e-06, + "loss": 0.8965, + "step": 30624 + }, + { + "epoch": 0.72, + "grad_norm": 1.4138949076169733, + "learning_rate": 3.7995073907422454e-06, + "loss": 0.934, + "step": 30625 + }, + { + "epoch": 0.72, + "grad_norm": 1.7179217326903617, + "learning_rate": 3.798908755100932e-06, + "loss": 0.7766, + "step": 30626 + }, + { + "epoch": 0.72, + "grad_norm": 1.5438025516068519, + "learning_rate": 3.798310155564339e-06, + "loss": 0.7339, + "step": 30627 + }, + { + "epoch": 0.72, + "grad_norm": 1.4951393974038667, + "learning_rate": 3.7977115921359477e-06, + "loss": 0.7939, + "step": 30628 + }, + { + "epoch": 0.72, + "grad_norm": 1.6603971616995172, + "learning_rate": 3.797113064819239e-06, + "loss": 0.8304, + "step": 30629 + }, + { + "epoch": 0.72, + "grad_norm": 1.459346336177476, + "learning_rate": 3.7965145736177058e-06, + "loss": 0.889, + "step": 30630 + }, + { + "epoch": 0.72, + "grad_norm": 2.122891395032426, + "learning_rate": 3.795916118534826e-06, + "loss": 0.9187, + "step": 30631 + }, + { + "epoch": 0.72, + "grad_norm": 1.7762324716183266, + "learning_rate": 3.795317699574089e-06, + "loss": 0.7977, + "step": 30632 + }, + { + "epoch": 0.72, + "grad_norm": 1.57049992801916, + "learning_rate": 3.7947193167389728e-06, + "loss": 0.837, + "step": 30633 + }, + { + "epoch": 0.72, + "grad_norm": 1.596029011506916, + "learning_rate": 3.7941209700329706e-06, + "loss": 0.7766, + "step": 30634 + }, + { + "epoch": 0.72, + "grad_norm": 1.5632962900889018, + "learning_rate": 3.7935226594595564e-06, + "loss": 0.7928, + "step": 30635 + }, + { + "epoch": 0.72, + "grad_norm": 1.6180811025784498, + "learning_rate": 3.7929243850222206e-06, + "loss": 0.8162, + "step": 30636 + }, + { + "epoch": 0.72, + "grad_norm": 0.8523811763074173, + "learning_rate": 3.7923261467244455e-06, + "loss": 0.7736, + "step": 30637 + }, + { + "epoch": 0.72, + "grad_norm": 1.5215512805461129, + "learning_rate": 3.79172794456971e-06, + "loss": 0.7301, + "step": 30638 + }, + { + "epoch": 0.72, + "grad_norm": 3.7584754137839353, + "learning_rate": 3.791129778561499e-06, + "loss": 0.9284, + "step": 30639 + }, + { + "epoch": 0.72, + "grad_norm": 1.6371867392357862, + "learning_rate": 3.7905316487032995e-06, + "loss": 0.8721, + "step": 30640 + }, + { + "epoch": 0.72, + "grad_norm": 1.6168387676329654, + "learning_rate": 3.7899335549985903e-06, + "loss": 0.7527, + "step": 30641 + }, + { + "epoch": 0.72, + "grad_norm": 1.6715274448422068, + "learning_rate": 3.7893354974508513e-06, + "loss": 0.9782, + "step": 30642 + }, + { + "epoch": 0.72, + "grad_norm": 1.6792597160106948, + "learning_rate": 3.7887374760635675e-06, + "loss": 0.9105, + "step": 30643 + }, + { + "epoch": 0.72, + "grad_norm": 0.7858616272695267, + "learning_rate": 3.7881394908402237e-06, + "loss": 0.6175, + "step": 30644 + }, + { + "epoch": 0.72, + "grad_norm": 1.634647843438813, + "learning_rate": 3.7875415417842974e-06, + "loss": 0.8152, + "step": 30645 + }, + { + "epoch": 0.72, + "grad_norm": 1.629858160918165, + "learning_rate": 3.786943628899269e-06, + "loss": 0.8295, + "step": 30646 + }, + { + "epoch": 0.72, + "grad_norm": 0.7364288827226684, + "learning_rate": 3.7863457521886215e-06, + "loss": 0.6627, + "step": 30647 + }, + { + "epoch": 0.72, + "grad_norm": 1.9009126041484163, + "learning_rate": 3.7857479116558393e-06, + "loss": 0.7733, + "step": 30648 + }, + { + "epoch": 0.72, + "grad_norm": 1.5241118387486476, + "learning_rate": 3.7851501073044005e-06, + "loss": 0.8046, + "step": 30649 + }, + { + "epoch": 0.72, + "grad_norm": 1.883316391436239, + "learning_rate": 3.7845523391377815e-06, + "loss": 0.8342, + "step": 30650 + }, + { + "epoch": 0.72, + "grad_norm": 1.5578553466318867, + "learning_rate": 3.7839546071594703e-06, + "loss": 0.8329, + "step": 30651 + }, + { + "epoch": 0.72, + "grad_norm": 1.6543443984306911, + "learning_rate": 3.7833569113729394e-06, + "loss": 0.8722, + "step": 30652 + }, + { + "epoch": 0.72, + "grad_norm": 1.5416736834027818, + "learning_rate": 3.782759251781677e-06, + "loss": 0.9246, + "step": 30653 + }, + { + "epoch": 0.72, + "grad_norm": 1.729848500025528, + "learning_rate": 3.782161628389155e-06, + "loss": 0.7515, + "step": 30654 + }, + { + "epoch": 0.72, + "grad_norm": 1.5251226343922282, + "learning_rate": 3.78156404119886e-06, + "loss": 0.8973, + "step": 30655 + }, + { + "epoch": 0.72, + "grad_norm": 1.8093574222134126, + "learning_rate": 3.780966490214264e-06, + "loss": 0.8838, + "step": 30656 + }, + { + "epoch": 0.72, + "grad_norm": 1.430925240107706, + "learning_rate": 3.7803689754388538e-06, + "loss": 0.9382, + "step": 30657 + }, + { + "epoch": 0.72, + "grad_norm": 1.5540032062621536, + "learning_rate": 3.7797714968761045e-06, + "loss": 0.9029, + "step": 30658 + }, + { + "epoch": 0.72, + "grad_norm": 1.5323560065251067, + "learning_rate": 3.7791740545294907e-06, + "loss": 0.7426, + "step": 30659 + }, + { + "epoch": 0.72, + "grad_norm": 1.795779164402007, + "learning_rate": 3.7785766484024954e-06, + "loss": 0.7738, + "step": 30660 + }, + { + "epoch": 0.72, + "grad_norm": 1.5938519245547726, + "learning_rate": 3.7779792784986e-06, + "loss": 0.8068, + "step": 30661 + }, + { + "epoch": 0.72, + "grad_norm": 0.7644444242728718, + "learning_rate": 3.77738194482128e-06, + "loss": 0.7292, + "step": 30662 + }, + { + "epoch": 0.72, + "grad_norm": 1.7863519762500193, + "learning_rate": 3.7767846473740077e-06, + "loss": 0.781, + "step": 30663 + }, + { + "epoch": 0.72, + "grad_norm": 1.551265736660205, + "learning_rate": 3.776187386160266e-06, + "loss": 0.7348, + "step": 30664 + }, + { + "epoch": 0.72, + "grad_norm": 1.6490918559961198, + "learning_rate": 3.7755901611835356e-06, + "loss": 0.8701, + "step": 30665 + }, + { + "epoch": 0.72, + "grad_norm": 0.741950466768259, + "learning_rate": 3.774992972447289e-06, + "loss": 0.7527, + "step": 30666 + }, + { + "epoch": 0.72, + "grad_norm": 1.5126601254564689, + "learning_rate": 3.7743958199550013e-06, + "loss": 0.7429, + "step": 30667 + }, + { + "epoch": 0.72, + "grad_norm": 1.5012556582395304, + "learning_rate": 3.773798703710152e-06, + "loss": 0.8164, + "step": 30668 + }, + { + "epoch": 0.72, + "grad_norm": 1.9892171773864933, + "learning_rate": 3.7732016237162216e-06, + "loss": 0.8034, + "step": 30669 + }, + { + "epoch": 0.72, + "grad_norm": 1.8734559399868598, + "learning_rate": 3.772604579976682e-06, + "loss": 0.8522, + "step": 30670 + }, + { + "epoch": 0.72, + "grad_norm": 1.784629359884414, + "learning_rate": 3.772007572495007e-06, + "loss": 0.8772, + "step": 30671 + }, + { + "epoch": 0.72, + "grad_norm": 0.7841785241693797, + "learning_rate": 3.7714106012746786e-06, + "loss": 0.7184, + "step": 30672 + }, + { + "epoch": 0.72, + "grad_norm": 1.5128441532325536, + "learning_rate": 3.7708136663191673e-06, + "loss": 1.0276, + "step": 30673 + }, + { + "epoch": 0.72, + "grad_norm": 2.2473111951800244, + "learning_rate": 3.7702167676319534e-06, + "loss": 0.9356, + "step": 30674 + }, + { + "epoch": 0.72, + "grad_norm": 1.4910098594621701, + "learning_rate": 3.769619905216507e-06, + "loss": 0.8192, + "step": 30675 + }, + { + "epoch": 0.72, + "grad_norm": 1.4677648093751379, + "learning_rate": 3.7690230790763094e-06, + "loss": 0.7709, + "step": 30676 + }, + { + "epoch": 0.72, + "grad_norm": 1.552750493399314, + "learning_rate": 3.768426289214828e-06, + "loss": 0.8283, + "step": 30677 + }, + { + "epoch": 0.72, + "grad_norm": 1.8916181412577386, + "learning_rate": 3.7678295356355456e-06, + "loss": 0.7912, + "step": 30678 + }, + { + "epoch": 0.72, + "grad_norm": 1.5692135961266027, + "learning_rate": 3.7672328183419327e-06, + "loss": 0.778, + "step": 30679 + }, + { + "epoch": 0.72, + "grad_norm": 0.7352090449469074, + "learning_rate": 3.7666361373374607e-06, + "loss": 0.6881, + "step": 30680 + }, + { + "epoch": 0.72, + "grad_norm": 1.8115463150320088, + "learning_rate": 3.766039492625605e-06, + "loss": 0.789, + "step": 30681 + }, + { + "epoch": 0.72, + "grad_norm": 1.7678116495786727, + "learning_rate": 3.7654428842098457e-06, + "loss": 0.7983, + "step": 30682 + }, + { + "epoch": 0.72, + "grad_norm": 1.7712273705039674, + "learning_rate": 3.764846312093652e-06, + "loss": 0.8062, + "step": 30683 + }, + { + "epoch": 0.72, + "grad_norm": 1.9583510112058353, + "learning_rate": 3.764249776280493e-06, + "loss": 0.7712, + "step": 30684 + }, + { + "epoch": 0.72, + "grad_norm": 0.7623644594967514, + "learning_rate": 3.7636532767738455e-06, + "loss": 0.7627, + "step": 30685 + }, + { + "epoch": 0.72, + "grad_norm": 1.6319099950187, + "learning_rate": 3.7630568135771873e-06, + "loss": 0.8196, + "step": 30686 + }, + { + "epoch": 0.72, + "grad_norm": 1.6432481828155772, + "learning_rate": 3.762460386693987e-06, + "loss": 0.9024, + "step": 30687 + }, + { + "epoch": 0.72, + "grad_norm": 3.4972140650796257, + "learning_rate": 3.7618639961277124e-06, + "loss": 0.7492, + "step": 30688 + }, + { + "epoch": 0.72, + "grad_norm": 1.4496171453818156, + "learning_rate": 3.7612676418818415e-06, + "loss": 0.7737, + "step": 30689 + }, + { + "epoch": 0.72, + "grad_norm": 1.547156799128067, + "learning_rate": 3.760671323959849e-06, + "loss": 0.7345, + "step": 30690 + }, + { + "epoch": 0.72, + "grad_norm": 0.7669235364081415, + "learning_rate": 3.7600750423652043e-06, + "loss": 0.7485, + "step": 30691 + }, + { + "epoch": 0.72, + "grad_norm": 1.7054137951331567, + "learning_rate": 3.7594787971013736e-06, + "loss": 0.7307, + "step": 30692 + }, + { + "epoch": 0.72, + "grad_norm": 1.8202421902950245, + "learning_rate": 3.7588825881718372e-06, + "loss": 0.7218, + "step": 30693 + }, + { + "epoch": 0.72, + "grad_norm": 1.676828818197339, + "learning_rate": 3.758286415580058e-06, + "loss": 0.8988, + "step": 30694 + }, + { + "epoch": 0.72, + "grad_norm": 4.048535230393421, + "learning_rate": 3.7576902793295158e-06, + "loss": 0.8467, + "step": 30695 + }, + { + "epoch": 0.72, + "grad_norm": 1.591054866086399, + "learning_rate": 3.7570941794236725e-06, + "loss": 0.8719, + "step": 30696 + }, + { + "epoch": 0.72, + "grad_norm": 2.0640147202210404, + "learning_rate": 3.7564981158660073e-06, + "loss": 0.8457, + "step": 30697 + }, + { + "epoch": 0.72, + "grad_norm": 1.728985526628335, + "learning_rate": 3.755902088659983e-06, + "loss": 0.8627, + "step": 30698 + }, + { + "epoch": 0.72, + "grad_norm": 1.6486253167423646, + "learning_rate": 3.755306097809074e-06, + "loss": 0.9594, + "step": 30699 + }, + { + "epoch": 0.72, + "grad_norm": 0.8809258527335859, + "learning_rate": 3.7547101433167567e-06, + "loss": 0.8285, + "step": 30700 + }, + { + "epoch": 0.72, + "grad_norm": 1.5254382137012281, + "learning_rate": 3.7541142251864883e-06, + "loss": 0.8556, + "step": 30701 + }, + { + "epoch": 0.72, + "grad_norm": 1.9834492621784234, + "learning_rate": 3.7535183434217427e-06, + "loss": 0.8647, + "step": 30702 + }, + { + "epoch": 0.72, + "grad_norm": 1.6398556317914812, + "learning_rate": 3.7529224980259914e-06, + "loss": 0.7866, + "step": 30703 + }, + { + "epoch": 0.72, + "grad_norm": 1.7077380641812887, + "learning_rate": 3.75232668900271e-06, + "loss": 0.8035, + "step": 30704 + }, + { + "epoch": 0.72, + "grad_norm": 0.7650482376708335, + "learning_rate": 3.751730916355354e-06, + "loss": 0.7198, + "step": 30705 + }, + { + "epoch": 0.72, + "grad_norm": 2.0268557981622006, + "learning_rate": 3.7511351800873987e-06, + "loss": 0.8228, + "step": 30706 + }, + { + "epoch": 0.72, + "grad_norm": 1.7189495605132465, + "learning_rate": 3.7505394802023163e-06, + "loss": 0.8245, + "step": 30707 + }, + { + "epoch": 0.72, + "grad_norm": 1.4348963391726774, + "learning_rate": 3.749943816703572e-06, + "loss": 0.7836, + "step": 30708 + }, + { + "epoch": 0.72, + "grad_norm": 3.3470340919623776, + "learning_rate": 3.7493481895946295e-06, + "loss": 0.8707, + "step": 30709 + }, + { + "epoch": 0.72, + "grad_norm": 1.872679038927032, + "learning_rate": 3.7487525988789595e-06, + "loss": 0.7773, + "step": 30710 + }, + { + "epoch": 0.72, + "grad_norm": 1.6948878993724927, + "learning_rate": 3.7481570445600357e-06, + "loss": 0.9217, + "step": 30711 + }, + { + "epoch": 0.72, + "grad_norm": 1.7560271753728294, + "learning_rate": 3.7475615266413178e-06, + "loss": 0.9068, + "step": 30712 + }, + { + "epoch": 0.72, + "grad_norm": 1.6869216064036225, + "learning_rate": 3.746966045126279e-06, + "loss": 0.7999, + "step": 30713 + }, + { + "epoch": 0.72, + "grad_norm": 1.6873328859472159, + "learning_rate": 3.7463706000183843e-06, + "loss": 0.9053, + "step": 30714 + }, + { + "epoch": 0.72, + "grad_norm": 0.784803235377257, + "learning_rate": 3.745775191321096e-06, + "loss": 0.7372, + "step": 30715 + }, + { + "epoch": 0.72, + "grad_norm": 1.6170279094354283, + "learning_rate": 3.745179819037884e-06, + "loss": 0.9366, + "step": 30716 + }, + { + "epoch": 0.72, + "grad_norm": 1.4602150418031392, + "learning_rate": 3.74458448317222e-06, + "loss": 0.8754, + "step": 30717 + }, + { + "epoch": 0.72, + "grad_norm": 1.7702211728503447, + "learning_rate": 3.7439891837275644e-06, + "loss": 0.8971, + "step": 30718 + }, + { + "epoch": 0.72, + "grad_norm": 1.9296656925250801, + "learning_rate": 3.743393920707381e-06, + "loss": 0.8381, + "step": 30719 + }, + { + "epoch": 0.72, + "grad_norm": 1.4765245384293735, + "learning_rate": 3.7427986941151394e-06, + "loss": 0.7399, + "step": 30720 + }, + { + "epoch": 0.72, + "grad_norm": 1.6615588592400534, + "learning_rate": 3.742203503954308e-06, + "loss": 0.8987, + "step": 30721 + }, + { + "epoch": 0.72, + "grad_norm": 1.5493783065691298, + "learning_rate": 3.7416083502283494e-06, + "loss": 0.8116, + "step": 30722 + }, + { + "epoch": 0.72, + "grad_norm": 1.8451732310369777, + "learning_rate": 3.7410132329407258e-06, + "loss": 0.8342, + "step": 30723 + }, + { + "epoch": 0.72, + "grad_norm": 1.5100305041598265, + "learning_rate": 3.7404181520949033e-06, + "loss": 0.8411, + "step": 30724 + }, + { + "epoch": 0.72, + "grad_norm": 1.9936320438345363, + "learning_rate": 3.7398231076943513e-06, + "loss": 0.8684, + "step": 30725 + }, + { + "epoch": 0.72, + "grad_norm": 0.7326690732316304, + "learning_rate": 3.7392280997425325e-06, + "loss": 0.6909, + "step": 30726 + }, + { + "epoch": 0.72, + "grad_norm": 0.7606490952257132, + "learning_rate": 3.7386331282429045e-06, + "loss": 0.7136, + "step": 30727 + }, + { + "epoch": 0.72, + "grad_norm": 1.8450490410367046, + "learning_rate": 3.7380381931989384e-06, + "loss": 0.7373, + "step": 30728 + }, + { + "epoch": 0.72, + "grad_norm": 1.5411476191966003, + "learning_rate": 3.7374432946140994e-06, + "loss": 0.7871, + "step": 30729 + }, + { + "epoch": 0.72, + "grad_norm": 1.4688220772089406, + "learning_rate": 3.7368484324918473e-06, + "loss": 0.7488, + "step": 30730 + }, + { + "epoch": 0.72, + "grad_norm": 1.510373422805044, + "learning_rate": 3.7362536068356448e-06, + "loss": 0.6788, + "step": 30731 + }, + { + "epoch": 0.72, + "grad_norm": 1.9207422788617685, + "learning_rate": 3.7356588176489595e-06, + "loss": 0.903, + "step": 30732 + }, + { + "epoch": 0.72, + "grad_norm": 1.586942770276463, + "learning_rate": 3.7350640649352477e-06, + "loss": 0.794, + "step": 30733 + }, + { + "epoch": 0.72, + "grad_norm": 1.4768319540247616, + "learning_rate": 3.73446934869798e-06, + "loss": 0.9017, + "step": 30734 + }, + { + "epoch": 0.72, + "grad_norm": 0.7201286508619614, + "learning_rate": 3.7338746689406123e-06, + "loss": 0.6682, + "step": 30735 + }, + { + "epoch": 0.72, + "grad_norm": 1.5630050964286644, + "learning_rate": 3.7332800256666134e-06, + "loss": 0.7853, + "step": 30736 + }, + { + "epoch": 0.72, + "grad_norm": 0.7361280833544014, + "learning_rate": 3.7326854188794393e-06, + "loss": 0.7136, + "step": 30737 + }, + { + "epoch": 0.72, + "grad_norm": 1.5797589577085231, + "learning_rate": 3.732090848582558e-06, + "loss": 0.8316, + "step": 30738 + }, + { + "epoch": 0.72, + "grad_norm": 1.6469188312099414, + "learning_rate": 3.731496314779428e-06, + "loss": 0.8886, + "step": 30739 + }, + { + "epoch": 0.72, + "grad_norm": 1.5786007608326615, + "learning_rate": 3.7309018174735078e-06, + "loss": 0.8649, + "step": 30740 + }, + { + "epoch": 0.72, + "grad_norm": 1.828875778517581, + "learning_rate": 3.7303073566682625e-06, + "loss": 0.8287, + "step": 30741 + }, + { + "epoch": 0.72, + "grad_norm": 1.668453822538926, + "learning_rate": 3.7297129323671553e-06, + "loss": 0.8965, + "step": 30742 + }, + { + "epoch": 0.72, + "grad_norm": 1.770676080268067, + "learning_rate": 3.7291185445736445e-06, + "loss": 0.8872, + "step": 30743 + }, + { + "epoch": 0.72, + "grad_norm": 1.5588623159223094, + "learning_rate": 3.7285241932911874e-06, + "loss": 0.7027, + "step": 30744 + }, + { + "epoch": 0.72, + "grad_norm": 1.8636302639869997, + "learning_rate": 3.7279298785232488e-06, + "loss": 0.8524, + "step": 30745 + }, + { + "epoch": 0.72, + "grad_norm": 1.7547823339211952, + "learning_rate": 3.7273356002732908e-06, + "loss": 0.8869, + "step": 30746 + }, + { + "epoch": 0.72, + "grad_norm": 1.7070274837870265, + "learning_rate": 3.726741358544771e-06, + "loss": 0.8782, + "step": 30747 + }, + { + "epoch": 0.72, + "grad_norm": 1.5778807954450285, + "learning_rate": 3.7261471533411464e-06, + "loss": 0.769, + "step": 30748 + }, + { + "epoch": 0.72, + "grad_norm": 2.272231463540934, + "learning_rate": 3.7255529846658777e-06, + "loss": 0.8772, + "step": 30749 + }, + { + "epoch": 0.72, + "grad_norm": 0.7019058854872929, + "learning_rate": 3.724958852522431e-06, + "loss": 0.6507, + "step": 30750 + }, + { + "epoch": 0.72, + "grad_norm": 1.6775743572429138, + "learning_rate": 3.7243647569142606e-06, + "loss": 1.0165, + "step": 30751 + }, + { + "epoch": 0.72, + "grad_norm": 1.6463755251187555, + "learning_rate": 3.7237706978448206e-06, + "loss": 1.0035, + "step": 30752 + }, + { + "epoch": 0.72, + "grad_norm": 1.7066825729612927, + "learning_rate": 3.723176675317579e-06, + "loss": 0.7912, + "step": 30753 + }, + { + "epoch": 0.72, + "grad_norm": 1.721425702232297, + "learning_rate": 3.722582689335986e-06, + "loss": 0.8465, + "step": 30754 + }, + { + "epoch": 0.72, + "grad_norm": 1.8120524890890417, + "learning_rate": 3.721988739903508e-06, + "loss": 0.8614, + "step": 30755 + }, + { + "epoch": 0.72, + "grad_norm": 1.348193009225784, + "learning_rate": 3.7213948270235954e-06, + "loss": 0.7818, + "step": 30756 + }, + { + "epoch": 0.72, + "grad_norm": 1.5691575066569061, + "learning_rate": 3.7208009506997135e-06, + "loss": 0.6757, + "step": 30757 + }, + { + "epoch": 0.72, + "grad_norm": 1.5756472721780928, + "learning_rate": 3.720207110935312e-06, + "loss": 0.7914, + "step": 30758 + }, + { + "epoch": 0.72, + "grad_norm": 1.4995837923285131, + "learning_rate": 3.719613307733858e-06, + "loss": 0.8721, + "step": 30759 + }, + { + "epoch": 0.72, + "grad_norm": 1.6817614884056196, + "learning_rate": 3.719019541098803e-06, + "loss": 0.9234, + "step": 30760 + }, + { + "epoch": 0.72, + "grad_norm": 1.7070631167734855, + "learning_rate": 3.7184258110336e-06, + "loss": 0.813, + "step": 30761 + }, + { + "epoch": 0.72, + "grad_norm": 1.68642396236957, + "learning_rate": 3.717832117541712e-06, + "loss": 0.7649, + "step": 30762 + }, + { + "epoch": 0.72, + "grad_norm": 1.4841236503624913, + "learning_rate": 3.7172384606265976e-06, + "loss": 0.9084, + "step": 30763 + }, + { + "epoch": 0.72, + "grad_norm": 2.1601626437473698, + "learning_rate": 3.71664484029171e-06, + "loss": 0.8212, + "step": 30764 + }, + { + "epoch": 0.72, + "grad_norm": 1.8198065270554704, + "learning_rate": 3.7160512565405016e-06, + "loss": 0.8622, + "step": 30765 + }, + { + "epoch": 0.72, + "grad_norm": 1.6510389583118052, + "learning_rate": 3.7154577093764334e-06, + "loss": 0.8391, + "step": 30766 + }, + { + "epoch": 0.72, + "grad_norm": 1.6667593469064876, + "learning_rate": 3.714864198802962e-06, + "loss": 0.8516, + "step": 30767 + }, + { + "epoch": 0.72, + "grad_norm": 1.5577198835340962, + "learning_rate": 3.714270724823542e-06, + "loss": 0.8229, + "step": 30768 + }, + { + "epoch": 0.72, + "grad_norm": 0.8198244399510074, + "learning_rate": 3.713677287441624e-06, + "loss": 0.7242, + "step": 30769 + }, + { + "epoch": 0.72, + "grad_norm": 1.534149394534536, + "learning_rate": 3.7130838866606665e-06, + "loss": 0.9164, + "step": 30770 + }, + { + "epoch": 0.72, + "grad_norm": 1.54371694386404, + "learning_rate": 3.7124905224841303e-06, + "loss": 0.8271, + "step": 30771 + }, + { + "epoch": 0.72, + "grad_norm": 1.8556020097813632, + "learning_rate": 3.7118971949154624e-06, + "loss": 1.012, + "step": 30772 + }, + { + "epoch": 0.72, + "grad_norm": 1.5123610389421538, + "learning_rate": 3.7113039039581177e-06, + "loss": 0.7939, + "step": 30773 + }, + { + "epoch": 0.73, + "grad_norm": 0.7505139980613222, + "learning_rate": 3.7107106496155565e-06, + "loss": 0.742, + "step": 30774 + }, + { + "epoch": 0.73, + "grad_norm": 1.5944287749304271, + "learning_rate": 3.7101174318912257e-06, + "loss": 0.8762, + "step": 30775 + }, + { + "epoch": 0.73, + "grad_norm": 1.600207175172788, + "learning_rate": 3.7095242507885854e-06, + "loss": 0.7382, + "step": 30776 + }, + { + "epoch": 0.73, + "grad_norm": 1.5631814393282597, + "learning_rate": 3.7089311063110823e-06, + "loss": 0.8489, + "step": 30777 + }, + { + "epoch": 0.73, + "grad_norm": 1.6696432579046443, + "learning_rate": 3.708337998462178e-06, + "loss": 0.8708, + "step": 30778 + }, + { + "epoch": 0.73, + "grad_norm": 1.49560140918753, + "learning_rate": 3.707744927245319e-06, + "loss": 0.8484, + "step": 30779 + }, + { + "epoch": 0.73, + "grad_norm": 1.5251902397584693, + "learning_rate": 3.707151892663964e-06, + "loss": 0.8749, + "step": 30780 + }, + { + "epoch": 0.73, + "grad_norm": 3.0523884192006165, + "learning_rate": 3.7065588947215636e-06, + "loss": 0.7603, + "step": 30781 + }, + { + "epoch": 0.73, + "grad_norm": 1.7359844389144108, + "learning_rate": 3.705965933421566e-06, + "loss": 0.8739, + "step": 30782 + }, + { + "epoch": 0.73, + "grad_norm": 0.779275001749078, + "learning_rate": 3.7053730087674267e-06, + "loss": 0.7182, + "step": 30783 + }, + { + "epoch": 0.73, + "grad_norm": 1.763760277099858, + "learning_rate": 3.704780120762599e-06, + "loss": 0.8969, + "step": 30784 + }, + { + "epoch": 0.73, + "grad_norm": 1.7480337847220853, + "learning_rate": 3.704187269410542e-06, + "loss": 0.7554, + "step": 30785 + }, + { + "epoch": 0.73, + "grad_norm": 1.5285470918051167, + "learning_rate": 3.7035944547146917e-06, + "loss": 0.9076, + "step": 30786 + }, + { + "epoch": 0.73, + "grad_norm": 2.0393466033031804, + "learning_rate": 3.7030016766785095e-06, + "loss": 0.8058, + "step": 30787 + }, + { + "epoch": 0.73, + "grad_norm": 1.5918272686540291, + "learning_rate": 3.702408935305447e-06, + "loss": 0.817, + "step": 30788 + }, + { + "epoch": 0.73, + "grad_norm": 1.7932349221192083, + "learning_rate": 3.701816230598955e-06, + "loss": 0.9371, + "step": 30789 + }, + { + "epoch": 0.73, + "grad_norm": 1.6807769220969597, + "learning_rate": 3.701223562562478e-06, + "loss": 0.8343, + "step": 30790 + }, + { + "epoch": 0.73, + "grad_norm": 1.650584497858534, + "learning_rate": 3.7006309311994727e-06, + "loss": 0.8412, + "step": 30791 + }, + { + "epoch": 0.73, + "grad_norm": 2.0547365484280387, + "learning_rate": 3.7000383365133916e-06, + "loss": 0.8343, + "step": 30792 + }, + { + "epoch": 0.73, + "grad_norm": 1.8525678607771512, + "learning_rate": 3.6994457785076823e-06, + "loss": 0.8818, + "step": 30793 + }, + { + "epoch": 0.73, + "grad_norm": 1.615688362248305, + "learning_rate": 3.6988532571857895e-06, + "loss": 0.7672, + "step": 30794 + }, + { + "epoch": 0.73, + "grad_norm": 1.7168358954763856, + "learning_rate": 3.698260772551172e-06, + "loss": 0.8758, + "step": 30795 + }, + { + "epoch": 0.73, + "grad_norm": 1.5593397828959863, + "learning_rate": 3.697668324607272e-06, + "loss": 0.6893, + "step": 30796 + }, + { + "epoch": 0.73, + "grad_norm": 1.4785623560155479, + "learning_rate": 3.697075913357543e-06, + "loss": 0.6861, + "step": 30797 + }, + { + "epoch": 0.73, + "grad_norm": 1.6081200671929092, + "learning_rate": 3.6964835388054367e-06, + "loss": 0.9214, + "step": 30798 + }, + { + "epoch": 0.73, + "grad_norm": 1.5542846408131457, + "learning_rate": 3.695891200954398e-06, + "loss": 0.8732, + "step": 30799 + }, + { + "epoch": 0.73, + "grad_norm": 1.9927132135938983, + "learning_rate": 3.695298899807874e-06, + "loss": 0.957, + "step": 30800 + }, + { + "epoch": 0.73, + "grad_norm": 1.55014246848381, + "learning_rate": 3.694706635369316e-06, + "loss": 0.8925, + "step": 30801 + }, + { + "epoch": 0.73, + "grad_norm": 1.5330641764993436, + "learning_rate": 3.6941144076421786e-06, + "loss": 0.8559, + "step": 30802 + }, + { + "epoch": 0.73, + "grad_norm": 1.479749601934299, + "learning_rate": 3.693522216629897e-06, + "loss": 0.8066, + "step": 30803 + }, + { + "epoch": 0.73, + "grad_norm": 1.7753091474824934, + "learning_rate": 3.6929300623359255e-06, + "loss": 0.8769, + "step": 30804 + }, + { + "epoch": 0.73, + "grad_norm": 1.845740744214319, + "learning_rate": 3.692337944763711e-06, + "loss": 0.9423, + "step": 30805 + }, + { + "epoch": 0.73, + "grad_norm": 1.8603079562946325, + "learning_rate": 3.6917458639167105e-06, + "loss": 0.881, + "step": 30806 + }, + { + "epoch": 0.73, + "grad_norm": 1.9543361193745388, + "learning_rate": 3.691153819798354e-06, + "loss": 0.7835, + "step": 30807 + }, + { + "epoch": 0.73, + "grad_norm": 1.5351810884043637, + "learning_rate": 3.690561812412099e-06, + "loss": 0.9454, + "step": 30808 + }, + { + "epoch": 0.73, + "grad_norm": 0.7624848240903767, + "learning_rate": 3.689969841761393e-06, + "loss": 0.7052, + "step": 30809 + }, + { + "epoch": 0.73, + "grad_norm": 1.8513332801110927, + "learning_rate": 3.689377907849677e-06, + "loss": 0.7791, + "step": 30810 + }, + { + "epoch": 0.73, + "grad_norm": 1.524179440906587, + "learning_rate": 3.688786010680405e-06, + "loss": 0.8709, + "step": 30811 + }, + { + "epoch": 0.73, + "grad_norm": 1.813997423340218, + "learning_rate": 3.688194150257015e-06, + "loss": 0.8064, + "step": 30812 + }, + { + "epoch": 0.73, + "grad_norm": 1.5982531984780124, + "learning_rate": 3.687602326582961e-06, + "loss": 0.8803, + "step": 30813 + }, + { + "epoch": 0.73, + "grad_norm": 1.4673122336067894, + "learning_rate": 3.6870105396616795e-06, + "loss": 0.7785, + "step": 30814 + }, + { + "epoch": 0.73, + "grad_norm": 1.545740115615673, + "learning_rate": 3.6864187894966263e-06, + "loss": 0.6793, + "step": 30815 + }, + { + "epoch": 0.73, + "grad_norm": 1.7077624165044318, + "learning_rate": 3.685827076091242e-06, + "loss": 0.8114, + "step": 30816 + }, + { + "epoch": 0.73, + "grad_norm": 1.4325819701076694, + "learning_rate": 3.6852353994489665e-06, + "loss": 0.7191, + "step": 30817 + }, + { + "epoch": 0.73, + "grad_norm": 1.3467691196574412, + "learning_rate": 3.684643759573251e-06, + "loss": 0.7352, + "step": 30818 + }, + { + "epoch": 0.73, + "grad_norm": 1.5152921691782062, + "learning_rate": 3.6840521564675424e-06, + "loss": 0.8418, + "step": 30819 + }, + { + "epoch": 0.73, + "grad_norm": 1.7349815606811436, + "learning_rate": 3.6834605901352804e-06, + "loss": 0.7685, + "step": 30820 + }, + { + "epoch": 0.73, + "grad_norm": 1.6034214831977671, + "learning_rate": 3.6828690605799087e-06, + "loss": 0.9802, + "step": 30821 + }, + { + "epoch": 0.73, + "grad_norm": 1.3022016088168407, + "learning_rate": 3.6822775678048727e-06, + "loss": 0.7491, + "step": 30822 + }, + { + "epoch": 0.73, + "grad_norm": 1.5952227567714958, + "learning_rate": 3.6816861118136204e-06, + "loss": 0.8296, + "step": 30823 + }, + { + "epoch": 0.73, + "grad_norm": 2.646708445481272, + "learning_rate": 3.6810946926095914e-06, + "loss": 0.8054, + "step": 30824 + }, + { + "epoch": 0.73, + "grad_norm": 1.6357052057982207, + "learning_rate": 3.680503310196227e-06, + "loss": 0.8786, + "step": 30825 + }, + { + "epoch": 0.73, + "grad_norm": 1.7748658065301586, + "learning_rate": 3.679911964576972e-06, + "loss": 0.8101, + "step": 30826 + }, + { + "epoch": 0.73, + "grad_norm": 1.770431169443128, + "learning_rate": 3.6793206557552753e-06, + "loss": 0.8074, + "step": 30827 + }, + { + "epoch": 0.73, + "grad_norm": 1.9321703449821674, + "learning_rate": 3.678729383734574e-06, + "loss": 0.809, + "step": 30828 + }, + { + "epoch": 0.73, + "grad_norm": 0.7313689909776991, + "learning_rate": 3.678138148518308e-06, + "loss": 0.6878, + "step": 30829 + }, + { + "epoch": 0.73, + "grad_norm": 1.5813579416497083, + "learning_rate": 3.677546950109927e-06, + "loss": 1.002, + "step": 30830 + }, + { + "epoch": 0.73, + "grad_norm": 1.8003281878476152, + "learning_rate": 3.676955788512866e-06, + "loss": 0.701, + "step": 30831 + }, + { + "epoch": 0.73, + "grad_norm": 1.6422354506262946, + "learning_rate": 3.6763646637305726e-06, + "loss": 0.84, + "step": 30832 + }, + { + "epoch": 0.73, + "grad_norm": 1.6272097833571184, + "learning_rate": 3.6757735757664835e-06, + "loss": 0.8382, + "step": 30833 + }, + { + "epoch": 0.73, + "grad_norm": 0.750016294980045, + "learning_rate": 3.675182524624047e-06, + "loss": 0.683, + "step": 30834 + }, + { + "epoch": 0.73, + "grad_norm": 1.6535978649529797, + "learning_rate": 3.6745915103066952e-06, + "loss": 0.8412, + "step": 30835 + }, + { + "epoch": 0.73, + "grad_norm": 0.7366398532627209, + "learning_rate": 3.6740005328178786e-06, + "loss": 0.6772, + "step": 30836 + }, + { + "epoch": 0.73, + "grad_norm": 1.7788389794900779, + "learning_rate": 3.6734095921610336e-06, + "loss": 0.8998, + "step": 30837 + }, + { + "epoch": 0.73, + "grad_norm": 1.6218607789871922, + "learning_rate": 3.6728186883395978e-06, + "loss": 0.8297, + "step": 30838 + }, + { + "epoch": 0.73, + "grad_norm": 1.6206276911631081, + "learning_rate": 3.672227821357014e-06, + "loss": 0.7834, + "step": 30839 + }, + { + "epoch": 0.73, + "grad_norm": 1.5710937100062017, + "learning_rate": 3.671636991216727e-06, + "loss": 0.9219, + "step": 30840 + }, + { + "epoch": 0.73, + "grad_norm": 1.862286819882762, + "learning_rate": 3.6710461979221735e-06, + "loss": 0.8614, + "step": 30841 + }, + { + "epoch": 0.73, + "grad_norm": 1.4801089876172093, + "learning_rate": 3.670455441476788e-06, + "loss": 0.7043, + "step": 30842 + }, + { + "epoch": 0.73, + "grad_norm": 1.7559150808891868, + "learning_rate": 3.6698647218840157e-06, + "loss": 0.8151, + "step": 30843 + }, + { + "epoch": 0.73, + "grad_norm": 1.5012468174288278, + "learning_rate": 3.669274039147299e-06, + "loss": 0.7012, + "step": 30844 + }, + { + "epoch": 0.73, + "grad_norm": 1.729621633140653, + "learning_rate": 3.6686833932700717e-06, + "loss": 0.8577, + "step": 30845 + }, + { + "epoch": 0.73, + "grad_norm": 1.535372595615835, + "learning_rate": 3.6680927842557724e-06, + "loss": 0.7447, + "step": 30846 + }, + { + "epoch": 0.73, + "grad_norm": 4.645866596090497, + "learning_rate": 3.667502212107841e-06, + "loss": 0.8325, + "step": 30847 + }, + { + "epoch": 0.73, + "grad_norm": 1.6477430403266418, + "learning_rate": 3.6669116768297187e-06, + "loss": 0.791, + "step": 30848 + }, + { + "epoch": 0.73, + "grad_norm": 3.4897973711649395, + "learning_rate": 3.6663211784248433e-06, + "loss": 0.9105, + "step": 30849 + }, + { + "epoch": 0.73, + "grad_norm": 1.6290662682830936, + "learning_rate": 3.665730716896647e-06, + "loss": 0.7132, + "step": 30850 + }, + { + "epoch": 0.73, + "grad_norm": 1.7567966974090823, + "learning_rate": 3.6651402922485715e-06, + "loss": 0.7766, + "step": 30851 + }, + { + "epoch": 0.73, + "grad_norm": 1.4958129137879188, + "learning_rate": 3.6645499044840594e-06, + "loss": 0.7863, + "step": 30852 + }, + { + "epoch": 0.73, + "grad_norm": 1.5069595532353366, + "learning_rate": 3.6639595536065418e-06, + "loss": 0.8045, + "step": 30853 + }, + { + "epoch": 0.73, + "grad_norm": 1.355745949600577, + "learning_rate": 3.6633692396194554e-06, + "loss": 0.804, + "step": 30854 + }, + { + "epoch": 0.73, + "grad_norm": 1.5013256865268108, + "learning_rate": 3.6627789625262434e-06, + "loss": 0.8437, + "step": 30855 + }, + { + "epoch": 0.73, + "grad_norm": 1.5738165495209042, + "learning_rate": 3.662188722330334e-06, + "loss": 0.7265, + "step": 30856 + }, + { + "epoch": 0.73, + "grad_norm": 1.5479551394221027, + "learning_rate": 3.6615985190351722e-06, + "loss": 0.94, + "step": 30857 + }, + { + "epoch": 0.73, + "grad_norm": 1.660963716133527, + "learning_rate": 3.6610083526441876e-06, + "loss": 0.8087, + "step": 30858 + }, + { + "epoch": 0.73, + "grad_norm": 1.8968282848085376, + "learning_rate": 3.660418223160822e-06, + "loss": 0.809, + "step": 30859 + }, + { + "epoch": 0.73, + "grad_norm": 1.563858997820463, + "learning_rate": 3.6598281305885052e-06, + "loss": 0.8884, + "step": 30860 + }, + { + "epoch": 0.73, + "grad_norm": 1.5199459307326257, + "learning_rate": 3.65923807493068e-06, + "loss": 0.9282, + "step": 30861 + }, + { + "epoch": 0.73, + "grad_norm": 1.5206712434427225, + "learning_rate": 3.658648056190778e-06, + "loss": 0.7803, + "step": 30862 + }, + { + "epoch": 0.73, + "grad_norm": 1.5660556300248971, + "learning_rate": 3.6580580743722315e-06, + "loss": 0.7295, + "step": 30863 + }, + { + "epoch": 0.73, + "grad_norm": 1.607120506522893, + "learning_rate": 3.6574681294784788e-06, + "loss": 0.9756, + "step": 30864 + }, + { + "epoch": 0.73, + "grad_norm": 1.6823470336361348, + "learning_rate": 3.6568782215129574e-06, + "loss": 0.8375, + "step": 30865 + }, + { + "epoch": 0.73, + "grad_norm": 1.582129010867351, + "learning_rate": 3.6562883504791004e-06, + "loss": 0.771, + "step": 30866 + }, + { + "epoch": 0.73, + "grad_norm": 1.4720567734004475, + "learning_rate": 3.655698516380336e-06, + "loss": 0.927, + "step": 30867 + }, + { + "epoch": 0.73, + "grad_norm": 1.591904908519025, + "learning_rate": 3.655108719220104e-06, + "loss": 0.8199, + "step": 30868 + }, + { + "epoch": 0.73, + "grad_norm": 1.7040195935361704, + "learning_rate": 3.6545189590018416e-06, + "loss": 0.8706, + "step": 30869 + }, + { + "epoch": 0.73, + "grad_norm": 1.5497391982264503, + "learning_rate": 3.653929235728979e-06, + "loss": 0.8952, + "step": 30870 + }, + { + "epoch": 0.73, + "grad_norm": 1.7380488092945252, + "learning_rate": 3.653339549404946e-06, + "loss": 0.8953, + "step": 30871 + }, + { + "epoch": 0.73, + "grad_norm": 1.8239437552575328, + "learning_rate": 3.652749900033179e-06, + "loss": 0.8154, + "step": 30872 + }, + { + "epoch": 0.73, + "grad_norm": 1.6145005446413023, + "learning_rate": 3.6521602876171147e-06, + "loss": 0.8507, + "step": 30873 + }, + { + "epoch": 0.73, + "grad_norm": 1.5997215539945924, + "learning_rate": 3.651570712160184e-06, + "loss": 0.6388, + "step": 30874 + }, + { + "epoch": 0.73, + "grad_norm": 1.5130033795786437, + "learning_rate": 3.650981173665814e-06, + "loss": 0.8164, + "step": 30875 + }, + { + "epoch": 0.73, + "grad_norm": 0.7872551469566583, + "learning_rate": 3.6503916721374456e-06, + "loss": 0.6881, + "step": 30876 + }, + { + "epoch": 0.73, + "grad_norm": 1.6534041216708784, + "learning_rate": 3.6498022075785034e-06, + "loss": 0.8797, + "step": 30877 + }, + { + "epoch": 0.73, + "grad_norm": 1.5390594782571188, + "learning_rate": 3.649212779992427e-06, + "loss": 0.7401, + "step": 30878 + }, + { + "epoch": 0.73, + "grad_norm": 1.745977159872378, + "learning_rate": 3.6486233893826405e-06, + "loss": 0.8835, + "step": 30879 + }, + { + "epoch": 0.73, + "grad_norm": 1.5910660186859091, + "learning_rate": 3.6480340357525832e-06, + "loss": 0.9851, + "step": 30880 + }, + { + "epoch": 0.73, + "grad_norm": 0.7446223895772723, + "learning_rate": 3.6474447191056793e-06, + "loss": 0.732, + "step": 30881 + }, + { + "epoch": 0.73, + "grad_norm": 1.6143905645604806, + "learning_rate": 3.6468554394453636e-06, + "loss": 0.8535, + "step": 30882 + }, + { + "epoch": 0.73, + "grad_norm": 1.6323517557744653, + "learning_rate": 3.6462661967750744e-06, + "loss": 0.8129, + "step": 30883 + }, + { + "epoch": 0.73, + "grad_norm": 2.5993382471417235, + "learning_rate": 3.645676991098227e-06, + "loss": 0.8307, + "step": 30884 + }, + { + "epoch": 0.73, + "grad_norm": 1.9079477425779177, + "learning_rate": 3.6450878224182608e-06, + "loss": 0.8555, + "step": 30885 + }, + { + "epoch": 0.73, + "grad_norm": 0.7963760797249265, + "learning_rate": 3.6444986907386035e-06, + "loss": 0.751, + "step": 30886 + }, + { + "epoch": 0.73, + "grad_norm": 1.7656153192791455, + "learning_rate": 3.6439095960626957e-06, + "loss": 0.7049, + "step": 30887 + }, + { + "epoch": 0.73, + "grad_norm": 1.605737909989496, + "learning_rate": 3.643320538393951e-06, + "loss": 0.8089, + "step": 30888 + }, + { + "epoch": 0.73, + "grad_norm": 2.1434681023335225, + "learning_rate": 3.642731517735807e-06, + "loss": 0.8529, + "step": 30889 + }, + { + "epoch": 0.73, + "grad_norm": 1.7269215343497717, + "learning_rate": 3.642142534091695e-06, + "loss": 0.7997, + "step": 30890 + }, + { + "epoch": 0.73, + "grad_norm": 0.7412392143778843, + "learning_rate": 3.641553587465043e-06, + "loss": 0.6711, + "step": 30891 + }, + { + "epoch": 0.73, + "grad_norm": 0.7892412268037988, + "learning_rate": 3.6409646778592756e-06, + "loss": 0.6421, + "step": 30892 + }, + { + "epoch": 0.73, + "grad_norm": 1.591629182943013, + "learning_rate": 3.640375805277825e-06, + "loss": 0.8614, + "step": 30893 + }, + { + "epoch": 0.73, + "grad_norm": 0.7592340461039903, + "learning_rate": 3.639786969724123e-06, + "loss": 0.7004, + "step": 30894 + }, + { + "epoch": 0.73, + "grad_norm": 1.7078182416074839, + "learning_rate": 3.6391981712015922e-06, + "loss": 0.7459, + "step": 30895 + }, + { + "epoch": 0.73, + "grad_norm": 1.593896711650856, + "learning_rate": 3.638609409713666e-06, + "loss": 0.907, + "step": 30896 + }, + { + "epoch": 0.73, + "grad_norm": 1.5503067844631317, + "learning_rate": 3.63802068526377e-06, + "loss": 0.8485, + "step": 30897 + }, + { + "epoch": 0.73, + "grad_norm": 1.5396389824065067, + "learning_rate": 3.6374319978553284e-06, + "loss": 0.8451, + "step": 30898 + }, + { + "epoch": 0.73, + "grad_norm": 1.5303835922570588, + "learning_rate": 3.636843347491772e-06, + "loss": 0.9534, + "step": 30899 + }, + { + "epoch": 0.73, + "grad_norm": 1.6195866355829662, + "learning_rate": 3.636254734176532e-06, + "loss": 0.8101, + "step": 30900 + }, + { + "epoch": 0.73, + "grad_norm": 1.3613707549298948, + "learning_rate": 3.6356661579130314e-06, + "loss": 0.8375, + "step": 30901 + }, + { + "epoch": 0.73, + "grad_norm": 1.5795591289107636, + "learning_rate": 3.635077618704694e-06, + "loss": 0.7219, + "step": 30902 + }, + { + "epoch": 0.73, + "grad_norm": 1.6697596058621074, + "learning_rate": 3.63448911655495e-06, + "loss": 0.7924, + "step": 30903 + }, + { + "epoch": 0.73, + "grad_norm": 1.6900701917561058, + "learning_rate": 3.633900651467228e-06, + "loss": 0.8883, + "step": 30904 + }, + { + "epoch": 0.73, + "grad_norm": 1.408217946017876, + "learning_rate": 3.6333122234449523e-06, + "loss": 0.7849, + "step": 30905 + }, + { + "epoch": 0.73, + "grad_norm": 1.4088458234010148, + "learning_rate": 3.632723832491546e-06, + "loss": 0.7916, + "step": 30906 + }, + { + "epoch": 0.73, + "grad_norm": 6.9775352948681135, + "learning_rate": 3.632135478610437e-06, + "loss": 0.9581, + "step": 30907 + }, + { + "epoch": 0.73, + "grad_norm": 1.6307390072404844, + "learning_rate": 3.6315471618050546e-06, + "loss": 0.7567, + "step": 30908 + }, + { + "epoch": 0.73, + "grad_norm": 1.5187371350394931, + "learning_rate": 3.6309588820788213e-06, + "loss": 0.797, + "step": 30909 + }, + { + "epoch": 0.73, + "grad_norm": 1.6560647034302831, + "learning_rate": 3.6303706394351567e-06, + "loss": 0.9136, + "step": 30910 + }, + { + "epoch": 0.73, + "grad_norm": 1.5318258419036146, + "learning_rate": 3.6297824338774957e-06, + "loss": 0.891, + "step": 30911 + }, + { + "epoch": 0.73, + "grad_norm": 1.8852664146314666, + "learning_rate": 3.6291942654092547e-06, + "loss": 0.9446, + "step": 30912 + }, + { + "epoch": 0.73, + "grad_norm": 1.8557708805136401, + "learning_rate": 3.628606134033865e-06, + "loss": 0.9196, + "step": 30913 + }, + { + "epoch": 0.73, + "grad_norm": 1.7309034627096078, + "learning_rate": 3.6280180397547438e-06, + "loss": 0.7867, + "step": 30914 + }, + { + "epoch": 0.73, + "grad_norm": 1.4958756677889635, + "learning_rate": 3.6274299825753225e-06, + "loss": 0.9296, + "step": 30915 + }, + { + "epoch": 0.73, + "grad_norm": 2.0397346567723043, + "learning_rate": 3.626841962499018e-06, + "loss": 0.8876, + "step": 30916 + }, + { + "epoch": 0.73, + "grad_norm": 1.6048309647969015, + "learning_rate": 3.6262539795292604e-06, + "loss": 0.8687, + "step": 30917 + }, + { + "epoch": 0.73, + "grad_norm": 1.6198287604946686, + "learning_rate": 3.6256660336694705e-06, + "loss": 0.8348, + "step": 30918 + }, + { + "epoch": 0.73, + "grad_norm": 1.5454915377053933, + "learning_rate": 3.625078124923067e-06, + "loss": 0.9063, + "step": 30919 + }, + { + "epoch": 0.73, + "grad_norm": 1.9701765029661618, + "learning_rate": 3.624490253293477e-06, + "loss": 0.7741, + "step": 30920 + }, + { + "epoch": 0.73, + "grad_norm": 1.5949415803563105, + "learning_rate": 3.6239024187841266e-06, + "loss": 0.9967, + "step": 30921 + }, + { + "epoch": 0.73, + "grad_norm": 1.4933802652107737, + "learning_rate": 3.623314621398436e-06, + "loss": 0.798, + "step": 30922 + }, + { + "epoch": 0.73, + "grad_norm": 1.766351654937019, + "learning_rate": 3.6227268611398214e-06, + "loss": 0.8775, + "step": 30923 + }, + { + "epoch": 0.73, + "grad_norm": 1.6966954917513069, + "learning_rate": 3.622139138011711e-06, + "loss": 0.844, + "step": 30924 + }, + { + "epoch": 0.73, + "grad_norm": 0.7790770667366763, + "learning_rate": 3.62155145201753e-06, + "loss": 0.7489, + "step": 30925 + }, + { + "epoch": 0.73, + "grad_norm": 0.771671151461201, + "learning_rate": 3.6209638031606942e-06, + "loss": 0.7206, + "step": 30926 + }, + { + "epoch": 0.73, + "grad_norm": 1.4975922601038745, + "learning_rate": 3.6203761914446243e-06, + "loss": 0.9162, + "step": 30927 + }, + { + "epoch": 0.73, + "grad_norm": 1.8298976513663738, + "learning_rate": 3.6197886168727436e-06, + "loss": 0.8428, + "step": 30928 + }, + { + "epoch": 0.73, + "grad_norm": 1.4217882051281638, + "learning_rate": 3.6192010794484766e-06, + "loss": 0.7737, + "step": 30929 + }, + { + "epoch": 0.73, + "grad_norm": 1.9942767636373302, + "learning_rate": 3.618613579175242e-06, + "loss": 0.904, + "step": 30930 + }, + { + "epoch": 0.73, + "grad_norm": 2.087659906731851, + "learning_rate": 3.618026116056456e-06, + "loss": 0.8745, + "step": 30931 + }, + { + "epoch": 0.73, + "grad_norm": 1.5717514959897416, + "learning_rate": 3.617438690095545e-06, + "loss": 0.7368, + "step": 30932 + }, + { + "epoch": 0.73, + "grad_norm": 1.638206542692173, + "learning_rate": 3.6168513012959227e-06, + "loss": 0.7013, + "step": 30933 + }, + { + "epoch": 0.73, + "grad_norm": 1.5338898568009867, + "learning_rate": 3.6162639496610173e-06, + "loss": 0.8403, + "step": 30934 + }, + { + "epoch": 0.73, + "grad_norm": 1.8821695588606495, + "learning_rate": 3.615676635194242e-06, + "loss": 0.8229, + "step": 30935 + }, + { + "epoch": 0.73, + "grad_norm": 1.445196045190325, + "learning_rate": 3.6150893578990198e-06, + "loss": 0.8389, + "step": 30936 + }, + { + "epoch": 0.73, + "grad_norm": 1.4929949475289388, + "learning_rate": 3.6145021177787666e-06, + "loss": 0.7118, + "step": 30937 + }, + { + "epoch": 0.73, + "grad_norm": 0.7713365912358577, + "learning_rate": 3.613914914836907e-06, + "loss": 0.7301, + "step": 30938 + }, + { + "epoch": 0.73, + "grad_norm": 1.4520057371292712, + "learning_rate": 3.613327749076856e-06, + "loss": 0.8239, + "step": 30939 + }, + { + "epoch": 0.73, + "grad_norm": 0.7203480913466422, + "learning_rate": 3.6127406205020298e-06, + "loss": 0.7032, + "step": 30940 + }, + { + "epoch": 0.73, + "grad_norm": 1.9364598323931095, + "learning_rate": 3.6121535291158506e-06, + "loss": 1.0313, + "step": 30941 + }, + { + "epoch": 0.73, + "grad_norm": 1.707020554308533, + "learning_rate": 3.6115664749217383e-06, + "loss": 0.8554, + "step": 30942 + }, + { + "epoch": 0.73, + "grad_norm": 1.7473955933916807, + "learning_rate": 3.6109794579231094e-06, + "loss": 0.8121, + "step": 30943 + }, + { + "epoch": 0.73, + "grad_norm": 1.7324856432029208, + "learning_rate": 3.610392478123377e-06, + "loss": 0.816, + "step": 30944 + }, + { + "epoch": 0.73, + "grad_norm": 1.831814930352606, + "learning_rate": 3.609805535525962e-06, + "loss": 0.796, + "step": 30945 + }, + { + "epoch": 0.73, + "grad_norm": 1.5621623470137087, + "learning_rate": 3.6092186301342858e-06, + "loss": 0.8111, + "step": 30946 + }, + { + "epoch": 0.73, + "grad_norm": 1.8742420552997827, + "learning_rate": 3.608631761951763e-06, + "loss": 0.9375, + "step": 30947 + }, + { + "epoch": 0.73, + "grad_norm": 2.092694141071174, + "learning_rate": 3.6080449309818045e-06, + "loss": 0.9344, + "step": 30948 + }, + { + "epoch": 0.73, + "grad_norm": 1.528429417040673, + "learning_rate": 3.607458137227834e-06, + "loss": 0.7744, + "step": 30949 + }, + { + "epoch": 0.73, + "grad_norm": 1.5985598826055971, + "learning_rate": 3.6068713806932678e-06, + "loss": 0.8304, + "step": 30950 + }, + { + "epoch": 0.73, + "grad_norm": 1.5056915553812087, + "learning_rate": 3.6062846613815217e-06, + "loss": 0.7831, + "step": 30951 + }, + { + "epoch": 0.73, + "grad_norm": 3.1399315429517665, + "learning_rate": 3.6056979792960067e-06, + "loss": 0.8803, + "step": 30952 + }, + { + "epoch": 0.73, + "grad_norm": 1.48802085015612, + "learning_rate": 3.6051113344401457e-06, + "loss": 0.6522, + "step": 30953 + }, + { + "epoch": 0.73, + "grad_norm": 1.7193905285897744, + "learning_rate": 3.604524726817348e-06, + "loss": 0.8677, + "step": 30954 + }, + { + "epoch": 0.73, + "grad_norm": 1.9491027790992383, + "learning_rate": 3.603938156431035e-06, + "loss": 0.918, + "step": 30955 + }, + { + "epoch": 0.73, + "grad_norm": 1.499283651259715, + "learning_rate": 3.6033516232846154e-06, + "loss": 0.805, + "step": 30956 + }, + { + "epoch": 0.73, + "grad_norm": 1.6668380836368595, + "learning_rate": 3.602765127381511e-06, + "loss": 0.7727, + "step": 30957 + }, + { + "epoch": 0.73, + "grad_norm": 1.5633587219101832, + "learning_rate": 3.6021786687251315e-06, + "loss": 0.9807, + "step": 30958 + }, + { + "epoch": 0.73, + "grad_norm": 1.5534758454388569, + "learning_rate": 3.601592247318896e-06, + "loss": 0.7089, + "step": 30959 + }, + { + "epoch": 0.73, + "grad_norm": 1.5653905118291387, + "learning_rate": 3.601005863166216e-06, + "loss": 0.8741, + "step": 30960 + }, + { + "epoch": 0.73, + "grad_norm": 1.8116161973678464, + "learning_rate": 3.600419516270501e-06, + "loss": 0.8394, + "step": 30961 + }, + { + "epoch": 0.73, + "grad_norm": 1.8409972485901582, + "learning_rate": 3.5998332066351716e-06, + "loss": 0.8035, + "step": 30962 + }, + { + "epoch": 0.73, + "grad_norm": 1.578245478776862, + "learning_rate": 3.599246934263643e-06, + "loss": 0.8176, + "step": 30963 + }, + { + "epoch": 0.73, + "grad_norm": 1.9464979471180959, + "learning_rate": 3.598660699159324e-06, + "loss": 0.852, + "step": 30964 + }, + { + "epoch": 0.73, + "grad_norm": 1.4227773282761629, + "learning_rate": 3.5980745013256258e-06, + "loss": 0.8618, + "step": 30965 + }, + { + "epoch": 0.73, + "grad_norm": 1.5944820244011348, + "learning_rate": 3.5974883407659655e-06, + "loss": 0.965, + "step": 30966 + }, + { + "epoch": 0.73, + "grad_norm": 1.7703364349835577, + "learning_rate": 3.5969022174837576e-06, + "loss": 0.9136, + "step": 30967 + }, + { + "epoch": 0.73, + "grad_norm": 1.8763506572258217, + "learning_rate": 3.5963161314824123e-06, + "loss": 0.8448, + "step": 30968 + }, + { + "epoch": 0.73, + "grad_norm": 1.580010094669336, + "learning_rate": 3.5957300827653385e-06, + "loss": 0.8791, + "step": 30969 + }, + { + "epoch": 0.73, + "grad_norm": 1.5093498870299509, + "learning_rate": 3.595144071335952e-06, + "loss": 0.7574, + "step": 30970 + }, + { + "epoch": 0.73, + "grad_norm": 1.765242254200734, + "learning_rate": 3.594558097197668e-06, + "loss": 0.8839, + "step": 30971 + }, + { + "epoch": 0.73, + "grad_norm": 1.8409917466218262, + "learning_rate": 3.5939721603538946e-06, + "loss": 0.8893, + "step": 30972 + }, + { + "epoch": 0.73, + "grad_norm": 0.7707181113493712, + "learning_rate": 3.5933862608080405e-06, + "loss": 0.713, + "step": 30973 + }, + { + "epoch": 0.73, + "grad_norm": 1.7645829586862287, + "learning_rate": 3.592800398563522e-06, + "loss": 0.7967, + "step": 30974 + }, + { + "epoch": 0.73, + "grad_norm": 1.4621157564380143, + "learning_rate": 3.5922145736237457e-06, + "loss": 0.8651, + "step": 30975 + }, + { + "epoch": 0.73, + "grad_norm": 1.4854988435657148, + "learning_rate": 3.5916287859921273e-06, + "loss": 0.8039, + "step": 30976 + }, + { + "epoch": 0.73, + "grad_norm": 1.7069474568556449, + "learning_rate": 3.5910430356720727e-06, + "loss": 0.9578, + "step": 30977 + }, + { + "epoch": 0.73, + "grad_norm": 1.6610036175445313, + "learning_rate": 3.590457322666997e-06, + "loss": 0.7566, + "step": 30978 + }, + { + "epoch": 0.73, + "grad_norm": 2.372396051811444, + "learning_rate": 3.589871646980305e-06, + "loss": 0.6955, + "step": 30979 + }, + { + "epoch": 0.73, + "grad_norm": 0.7710771820580291, + "learning_rate": 3.5892860086154103e-06, + "loss": 0.7309, + "step": 30980 + }, + { + "epoch": 0.73, + "grad_norm": 1.8213879302754412, + "learning_rate": 3.588700407575725e-06, + "loss": 0.8295, + "step": 30981 + }, + { + "epoch": 0.73, + "grad_norm": 1.4486246679680952, + "learning_rate": 3.588114843864655e-06, + "loss": 0.7803, + "step": 30982 + }, + { + "epoch": 0.73, + "grad_norm": 1.5672221022841015, + "learning_rate": 3.5875293174856073e-06, + "loss": 0.7104, + "step": 30983 + }, + { + "epoch": 0.73, + "grad_norm": 1.6784127334037375, + "learning_rate": 3.5869438284419946e-06, + "loss": 0.8722, + "step": 30984 + }, + { + "epoch": 0.73, + "grad_norm": 1.4117319046821637, + "learning_rate": 3.586358376737231e-06, + "loss": 0.8642, + "step": 30985 + }, + { + "epoch": 0.73, + "grad_norm": 1.5341311657442473, + "learning_rate": 3.585772962374714e-06, + "loss": 0.8509, + "step": 30986 + }, + { + "epoch": 0.73, + "grad_norm": 1.917165299537371, + "learning_rate": 3.5851875853578568e-06, + "loss": 0.8908, + "step": 30987 + }, + { + "epoch": 0.73, + "grad_norm": 1.7026811883110096, + "learning_rate": 3.584602245690069e-06, + "loss": 0.9058, + "step": 30988 + }, + { + "epoch": 0.73, + "grad_norm": 1.5897984441678465, + "learning_rate": 3.584016943374764e-06, + "loss": 0.7902, + "step": 30989 + }, + { + "epoch": 0.73, + "grad_norm": 1.9276657380030056, + "learning_rate": 3.583431678415337e-06, + "loss": 0.8947, + "step": 30990 + }, + { + "epoch": 0.73, + "grad_norm": 1.496727131636126, + "learning_rate": 3.582846450815202e-06, + "loss": 0.8677, + "step": 30991 + }, + { + "epoch": 0.73, + "grad_norm": 1.878398226958861, + "learning_rate": 3.5822612605777706e-06, + "loss": 0.9998, + "step": 30992 + }, + { + "epoch": 0.73, + "grad_norm": 1.8163694666879702, + "learning_rate": 3.581676107706442e-06, + "loss": 0.9885, + "step": 30993 + }, + { + "epoch": 0.73, + "grad_norm": 2.1871608762633414, + "learning_rate": 3.581090992204631e-06, + "loss": 0.8875, + "step": 30994 + }, + { + "epoch": 0.73, + "grad_norm": 1.5997343874369043, + "learning_rate": 3.580505914075737e-06, + "loss": 0.822, + "step": 30995 + }, + { + "epoch": 0.73, + "grad_norm": 1.5687081094670283, + "learning_rate": 3.5799208733231727e-06, + "loss": 0.907, + "step": 30996 + }, + { + "epoch": 0.73, + "grad_norm": 1.7756670944540305, + "learning_rate": 3.579335869950339e-06, + "loss": 0.8965, + "step": 30997 + }, + { + "epoch": 0.73, + "grad_norm": 1.4894702364143186, + "learning_rate": 3.578750903960647e-06, + "loss": 0.759, + "step": 30998 + }, + { + "epoch": 0.73, + "grad_norm": 1.510909512879887, + "learning_rate": 3.5781659753575015e-06, + "loss": 0.8715, + "step": 30999 + }, + { + "epoch": 0.73, + "grad_norm": 1.6289281692819675, + "learning_rate": 3.5775810841443025e-06, + "loss": 0.7783, + "step": 31000 + }, + { + "epoch": 0.73, + "grad_norm": 0.7248427540459498, + "learning_rate": 3.5769962303244597e-06, + "loss": 0.6373, + "step": 31001 + }, + { + "epoch": 0.73, + "grad_norm": 1.5754985542383029, + "learning_rate": 3.5764114139013828e-06, + "loss": 0.7298, + "step": 31002 + }, + { + "epoch": 0.73, + "grad_norm": 1.5153635517658908, + "learning_rate": 3.575826634878471e-06, + "loss": 0.7231, + "step": 31003 + }, + { + "epoch": 0.73, + "grad_norm": 1.421367871333325, + "learning_rate": 3.575241893259128e-06, + "loss": 0.8924, + "step": 31004 + }, + { + "epoch": 0.73, + "grad_norm": 2.06237800566534, + "learning_rate": 3.5746571890467607e-06, + "loss": 0.9096, + "step": 31005 + }, + { + "epoch": 0.73, + "grad_norm": 1.7234971071541907, + "learning_rate": 3.574072522244776e-06, + "loss": 0.7707, + "step": 31006 + }, + { + "epoch": 0.73, + "grad_norm": 1.7496493735138663, + "learning_rate": 3.5734878928565763e-06, + "loss": 0.8658, + "step": 31007 + }, + { + "epoch": 0.73, + "grad_norm": 0.774506967452363, + "learning_rate": 3.572903300885561e-06, + "loss": 0.7232, + "step": 31008 + }, + { + "epoch": 0.73, + "grad_norm": 1.6874804781241532, + "learning_rate": 3.572318746335137e-06, + "loss": 0.7826, + "step": 31009 + }, + { + "epoch": 0.73, + "grad_norm": 2.4463882004328426, + "learning_rate": 3.571734229208712e-06, + "loss": 0.7548, + "step": 31010 + }, + { + "epoch": 0.73, + "grad_norm": 1.6365322915336897, + "learning_rate": 3.571149749509686e-06, + "loss": 0.7696, + "step": 31011 + }, + { + "epoch": 0.73, + "grad_norm": 0.8300069662055009, + "learning_rate": 3.570565307241457e-06, + "loss": 0.6852, + "step": 31012 + }, + { + "epoch": 0.73, + "grad_norm": 1.561060059159068, + "learning_rate": 3.5699809024074373e-06, + "loss": 0.931, + "step": 31013 + }, + { + "epoch": 0.73, + "grad_norm": 1.8632855716597474, + "learning_rate": 3.5693965350110194e-06, + "loss": 0.8347, + "step": 31014 + }, + { + "epoch": 0.73, + "grad_norm": 1.6356585796183247, + "learning_rate": 3.568812205055615e-06, + "loss": 0.8684, + "step": 31015 + }, + { + "epoch": 0.73, + "grad_norm": 2.0558957827280873, + "learning_rate": 3.5682279125446185e-06, + "loss": 0.8546, + "step": 31016 + }, + { + "epoch": 0.73, + "grad_norm": 1.572609447842363, + "learning_rate": 3.567643657481439e-06, + "loss": 0.8243, + "step": 31017 + }, + { + "epoch": 0.73, + "grad_norm": 1.54549904883278, + "learning_rate": 3.5670594398694713e-06, + "loss": 0.8131, + "step": 31018 + }, + { + "epoch": 0.73, + "grad_norm": 1.7163676340942033, + "learning_rate": 3.5664752597121233e-06, + "loss": 0.9543, + "step": 31019 + }, + { + "epoch": 0.73, + "grad_norm": 1.5025519428620928, + "learning_rate": 3.565891117012793e-06, + "loss": 0.8002, + "step": 31020 + }, + { + "epoch": 0.73, + "grad_norm": 1.4846301713934227, + "learning_rate": 3.5653070117748777e-06, + "loss": 0.8179, + "step": 31021 + }, + { + "epoch": 0.73, + "grad_norm": 1.7593803567502018, + "learning_rate": 3.5647229440017827e-06, + "loss": 0.86, + "step": 31022 + }, + { + "epoch": 0.73, + "grad_norm": 1.6159495715001124, + "learning_rate": 3.564138913696912e-06, + "loss": 0.8682, + "step": 31023 + }, + { + "epoch": 0.73, + "grad_norm": 1.4595552796685645, + "learning_rate": 3.5635549208636623e-06, + "loss": 0.8942, + "step": 31024 + }, + { + "epoch": 0.73, + "grad_norm": 1.5421966532081217, + "learning_rate": 3.562970965505429e-06, + "loss": 0.7189, + "step": 31025 + }, + { + "epoch": 0.73, + "grad_norm": 1.5293799129014227, + "learning_rate": 3.5623870476256174e-06, + "loss": 0.9093, + "step": 31026 + }, + { + "epoch": 0.73, + "grad_norm": 2.559746187552289, + "learning_rate": 3.56180316722763e-06, + "loss": 0.8638, + "step": 31027 + }, + { + "epoch": 0.73, + "grad_norm": 0.768547488349881, + "learning_rate": 3.5612193243148617e-06, + "loss": 0.6737, + "step": 31028 + }, + { + "epoch": 0.73, + "grad_norm": 1.6525515453928137, + "learning_rate": 3.5606355188907116e-06, + "loss": 0.8574, + "step": 31029 + }, + { + "epoch": 0.73, + "grad_norm": 1.726424739303502, + "learning_rate": 3.5600517509585784e-06, + "loss": 0.9219, + "step": 31030 + }, + { + "epoch": 0.73, + "grad_norm": 1.7073750520860989, + "learning_rate": 3.5594680205218667e-06, + "loss": 0.9288, + "step": 31031 + }, + { + "epoch": 0.73, + "grad_norm": 1.415781808367532, + "learning_rate": 3.558884327583971e-06, + "loss": 0.7501, + "step": 31032 + }, + { + "epoch": 0.73, + "grad_norm": 2.1369787852104647, + "learning_rate": 3.5583006721482873e-06, + "loss": 0.7223, + "step": 31033 + }, + { + "epoch": 0.73, + "grad_norm": 2.287027638786993, + "learning_rate": 3.5577170542182195e-06, + "loss": 0.9225, + "step": 31034 + }, + { + "epoch": 0.73, + "grad_norm": 2.117818467200204, + "learning_rate": 3.5571334737971596e-06, + "loss": 0.9558, + "step": 31035 + }, + { + "epoch": 0.73, + "grad_norm": 1.5461711581421407, + "learning_rate": 3.556549930888511e-06, + "loss": 0.8279, + "step": 31036 + }, + { + "epoch": 0.73, + "grad_norm": 1.657747423890486, + "learning_rate": 3.555966425495666e-06, + "loss": 0.781, + "step": 31037 + }, + { + "epoch": 0.73, + "grad_norm": 1.6236227360027489, + "learning_rate": 3.5553829576220277e-06, + "loss": 0.9442, + "step": 31038 + }, + { + "epoch": 0.73, + "grad_norm": 1.9378727510597222, + "learning_rate": 3.554799527270987e-06, + "loss": 0.8146, + "step": 31039 + }, + { + "epoch": 0.73, + "grad_norm": 0.798218683795611, + "learning_rate": 3.554216134445947e-06, + "loss": 0.6948, + "step": 31040 + }, + { + "epoch": 0.73, + "grad_norm": 1.7321184721803593, + "learning_rate": 3.553632779150301e-06, + "loss": 0.7721, + "step": 31041 + }, + { + "epoch": 0.73, + "grad_norm": 1.6725277071195337, + "learning_rate": 3.5530494613874433e-06, + "loss": 0.6527, + "step": 31042 + }, + { + "epoch": 0.73, + "grad_norm": 1.5757198029432455, + "learning_rate": 3.552466181160772e-06, + "loss": 0.9493, + "step": 31043 + }, + { + "epoch": 0.73, + "grad_norm": 1.6966445732142943, + "learning_rate": 3.5518829384736888e-06, + "loss": 0.818, + "step": 31044 + }, + { + "epoch": 0.73, + "grad_norm": 1.6762120492326145, + "learning_rate": 3.551299733329583e-06, + "loss": 0.6924, + "step": 31045 + }, + { + "epoch": 0.73, + "grad_norm": 1.6635694897698943, + "learning_rate": 3.5507165657318487e-06, + "loss": 0.8466, + "step": 31046 + }, + { + "epoch": 0.73, + "grad_norm": 1.5316374237164634, + "learning_rate": 3.5501334356838846e-06, + "loss": 0.8077, + "step": 31047 + }, + { + "epoch": 0.73, + "grad_norm": 1.6577952763092643, + "learning_rate": 3.549550343189089e-06, + "loss": 0.782, + "step": 31048 + }, + { + "epoch": 0.73, + "grad_norm": 1.611200947601348, + "learning_rate": 3.548967288250853e-06, + "loss": 0.9408, + "step": 31049 + }, + { + "epoch": 0.73, + "grad_norm": 1.5729337031636903, + "learning_rate": 3.548384270872568e-06, + "loss": 0.8225, + "step": 31050 + }, + { + "epoch": 0.73, + "grad_norm": 1.506282567151283, + "learning_rate": 3.5478012910576332e-06, + "loss": 0.8992, + "step": 31051 + }, + { + "epoch": 0.73, + "grad_norm": 1.6645105084798042, + "learning_rate": 3.547218348809446e-06, + "loss": 0.8241, + "step": 31052 + }, + { + "epoch": 0.73, + "grad_norm": 1.5117132886182965, + "learning_rate": 3.5466354441313954e-06, + "loss": 0.8302, + "step": 31053 + }, + { + "epoch": 0.73, + "grad_norm": 2.911776800408748, + "learning_rate": 3.5460525770268726e-06, + "loss": 0.8447, + "step": 31054 + }, + { + "epoch": 0.73, + "grad_norm": 1.631078719172728, + "learning_rate": 3.5454697474992796e-06, + "loss": 0.8714, + "step": 31055 + }, + { + "epoch": 0.73, + "grad_norm": 1.5645005079845042, + "learning_rate": 3.5448869555520016e-06, + "loss": 0.8417, + "step": 31056 + }, + { + "epoch": 0.73, + "grad_norm": 2.0871643554810113, + "learning_rate": 3.5443042011884377e-06, + "loss": 0.8006, + "step": 31057 + }, + { + "epoch": 0.73, + "grad_norm": 2.3211036934799307, + "learning_rate": 3.543721484411976e-06, + "loss": 0.7585, + "step": 31058 + }, + { + "epoch": 0.73, + "grad_norm": 1.5685236392111777, + "learning_rate": 3.543138805226015e-06, + "loss": 0.8358, + "step": 31059 + }, + { + "epoch": 0.73, + "grad_norm": 0.716836500274421, + "learning_rate": 3.542556163633941e-06, + "loss": 0.6693, + "step": 31060 + }, + { + "epoch": 0.73, + "grad_norm": 1.7160352620001327, + "learning_rate": 3.5419735596391537e-06, + "loss": 0.8352, + "step": 31061 + }, + { + "epoch": 0.73, + "grad_norm": 1.6494376121129193, + "learning_rate": 3.5413909932450398e-06, + "loss": 0.7968, + "step": 31062 + }, + { + "epoch": 0.73, + "grad_norm": 1.4473462482419939, + "learning_rate": 3.540808464454989e-06, + "loss": 0.8699, + "step": 31063 + }, + { + "epoch": 0.73, + "grad_norm": 1.9096491594675762, + "learning_rate": 3.5402259732723953e-06, + "loss": 1.0693, + "step": 31064 + }, + { + "epoch": 0.73, + "grad_norm": 1.4573295022298594, + "learning_rate": 3.539643519700653e-06, + "loss": 0.883, + "step": 31065 + }, + { + "epoch": 0.73, + "grad_norm": 1.5888328962151361, + "learning_rate": 3.5390611037431564e-06, + "loss": 0.8349, + "step": 31066 + }, + { + "epoch": 0.73, + "grad_norm": 1.7596974906766278, + "learning_rate": 3.538478725403286e-06, + "loss": 0.8371, + "step": 31067 + }, + { + "epoch": 0.73, + "grad_norm": 0.8350068636548457, + "learning_rate": 3.5378963846844383e-06, + "loss": 0.7133, + "step": 31068 + }, + { + "epoch": 0.73, + "grad_norm": 1.5513017446088317, + "learning_rate": 3.5373140815900065e-06, + "loss": 0.8311, + "step": 31069 + }, + { + "epoch": 0.73, + "grad_norm": 2.483336627159492, + "learning_rate": 3.5367318161233777e-06, + "loss": 0.7318, + "step": 31070 + }, + { + "epoch": 0.73, + "grad_norm": 1.5724196629191325, + "learning_rate": 3.5361495882879406e-06, + "loss": 0.9337, + "step": 31071 + }, + { + "epoch": 0.73, + "grad_norm": 1.7603736659458658, + "learning_rate": 3.5355673980870853e-06, + "loss": 0.838, + "step": 31072 + }, + { + "epoch": 0.73, + "grad_norm": 1.4028802190245897, + "learning_rate": 3.5349852455242086e-06, + "loss": 0.7843, + "step": 31073 + }, + { + "epoch": 0.73, + "grad_norm": 1.6921588186065841, + "learning_rate": 3.534403130602693e-06, + "loss": 0.7292, + "step": 31074 + }, + { + "epoch": 0.73, + "grad_norm": 1.7644648281431727, + "learning_rate": 3.5338210533259264e-06, + "loss": 0.9987, + "step": 31075 + }, + { + "epoch": 0.73, + "grad_norm": 1.5513907378788099, + "learning_rate": 3.5332390136973036e-06, + "loss": 0.9082, + "step": 31076 + }, + { + "epoch": 0.73, + "grad_norm": 1.720107513669406, + "learning_rate": 3.5326570117202076e-06, + "loss": 0.926, + "step": 31077 + }, + { + "epoch": 0.73, + "grad_norm": 1.490629222719129, + "learning_rate": 3.5320750473980304e-06, + "loss": 0.8386, + "step": 31078 + }, + { + "epoch": 0.73, + "grad_norm": 1.9544483751732071, + "learning_rate": 3.531493120734163e-06, + "loss": 0.7975, + "step": 31079 + }, + { + "epoch": 0.73, + "grad_norm": 1.6284374774210375, + "learning_rate": 3.5309112317319916e-06, + "loss": 0.7296, + "step": 31080 + }, + { + "epoch": 0.73, + "grad_norm": 1.6738201301514808, + "learning_rate": 3.530329380394898e-06, + "loss": 1.0014, + "step": 31081 + }, + { + "epoch": 0.73, + "grad_norm": 1.509370553029579, + "learning_rate": 3.529747566726276e-06, + "loss": 0.825, + "step": 31082 + }, + { + "epoch": 0.73, + "grad_norm": 1.4021883282116083, + "learning_rate": 3.5291657907295184e-06, + "loss": 0.8073, + "step": 31083 + }, + { + "epoch": 0.73, + "grad_norm": 1.57634874411246, + "learning_rate": 3.5285840524079994e-06, + "loss": 0.7894, + "step": 31084 + }, + { + "epoch": 0.73, + "grad_norm": 0.7702112297343868, + "learning_rate": 3.528002351765114e-06, + "loss": 0.6865, + "step": 31085 + }, + { + "epoch": 0.73, + "grad_norm": 1.9173311430095965, + "learning_rate": 3.527420688804247e-06, + "loss": 0.8417, + "step": 31086 + }, + { + "epoch": 0.73, + "grad_norm": 1.5441130566829022, + "learning_rate": 3.526839063528793e-06, + "loss": 0.8742, + "step": 31087 + }, + { + "epoch": 0.73, + "grad_norm": 1.6632959945923527, + "learning_rate": 3.5262574759421243e-06, + "loss": 1.0608, + "step": 31088 + }, + { + "epoch": 0.73, + "grad_norm": 1.6194348306859057, + "learning_rate": 3.525675926047634e-06, + "loss": 0.6931, + "step": 31089 + }, + { + "epoch": 0.73, + "grad_norm": 0.7384930743878888, + "learning_rate": 3.525094413848712e-06, + "loss": 0.6408, + "step": 31090 + }, + { + "epoch": 0.73, + "grad_norm": 1.8838030306221363, + "learning_rate": 3.5245129393487365e-06, + "loss": 0.8464, + "step": 31091 + }, + { + "epoch": 0.73, + "grad_norm": 0.8070665452127385, + "learning_rate": 3.5239315025511e-06, + "loss": 0.7417, + "step": 31092 + }, + { + "epoch": 0.73, + "grad_norm": 0.8353617841239807, + "learning_rate": 3.523350103459182e-06, + "loss": 0.6943, + "step": 31093 + }, + { + "epoch": 0.73, + "grad_norm": 1.584994730365866, + "learning_rate": 3.522768742076372e-06, + "loss": 0.9281, + "step": 31094 + }, + { + "epoch": 0.73, + "grad_norm": 1.7931933404546225, + "learning_rate": 3.5221874184060513e-06, + "loss": 0.858, + "step": 31095 + }, + { + "epoch": 0.73, + "grad_norm": 1.7671633307797239, + "learning_rate": 3.5216061324516093e-06, + "loss": 0.8107, + "step": 31096 + }, + { + "epoch": 0.73, + "grad_norm": 1.6167415749731193, + "learning_rate": 3.5210248842164274e-06, + "loss": 0.9298, + "step": 31097 + }, + { + "epoch": 0.73, + "grad_norm": 1.8562592341225164, + "learning_rate": 3.520443673703886e-06, + "loss": 0.7677, + "step": 31098 + }, + { + "epoch": 0.73, + "grad_norm": 1.8299520540508598, + "learning_rate": 3.5198625009173726e-06, + "loss": 0.9517, + "step": 31099 + }, + { + "epoch": 0.73, + "grad_norm": 1.641948683533227, + "learning_rate": 3.5192813658602754e-06, + "loss": 0.9575, + "step": 31100 + }, + { + "epoch": 0.73, + "grad_norm": 1.6788738427514207, + "learning_rate": 3.518700268535974e-06, + "loss": 0.7937, + "step": 31101 + }, + { + "epoch": 0.73, + "grad_norm": 1.6312725564332724, + "learning_rate": 3.5181192089478477e-06, + "loss": 0.8125, + "step": 31102 + }, + { + "epoch": 0.73, + "grad_norm": 1.526292263556944, + "learning_rate": 3.517538187099284e-06, + "loss": 0.7159, + "step": 31103 + }, + { + "epoch": 0.73, + "grad_norm": 2.135415793920318, + "learning_rate": 3.5169572029936682e-06, + "loss": 0.9233, + "step": 31104 + }, + { + "epoch": 0.73, + "grad_norm": 1.6125965218020817, + "learning_rate": 3.516376256634381e-06, + "loss": 0.9036, + "step": 31105 + }, + { + "epoch": 0.73, + "grad_norm": 0.7125096608360385, + "learning_rate": 3.5157953480247985e-06, + "loss": 0.6922, + "step": 31106 + }, + { + "epoch": 0.73, + "grad_norm": 1.8891422992056084, + "learning_rate": 3.5152144771683107e-06, + "loss": 0.8173, + "step": 31107 + }, + { + "epoch": 0.73, + "grad_norm": 1.5355035544305862, + "learning_rate": 3.5146336440682995e-06, + "loss": 0.7361, + "step": 31108 + }, + { + "epoch": 0.73, + "grad_norm": 1.4670686297437254, + "learning_rate": 3.5140528487281443e-06, + "loss": 0.8857, + "step": 31109 + }, + { + "epoch": 0.73, + "grad_norm": 1.6194429871286657, + "learning_rate": 3.5134720911512233e-06, + "loss": 0.7771, + "step": 31110 + }, + { + "epoch": 0.73, + "grad_norm": 1.7121589324212028, + "learning_rate": 3.512891371340922e-06, + "loss": 0.8644, + "step": 31111 + }, + { + "epoch": 0.73, + "grad_norm": 1.4201231285901728, + "learning_rate": 3.5123106893006242e-06, + "loss": 0.8833, + "step": 31112 + }, + { + "epoch": 0.73, + "grad_norm": 1.61775434538853, + "learning_rate": 3.5117300450337066e-06, + "loss": 0.6585, + "step": 31113 + }, + { + "epoch": 0.73, + "grad_norm": 1.6573366745419533, + "learning_rate": 3.5111494385435484e-06, + "loss": 0.8853, + "step": 31114 + }, + { + "epoch": 0.73, + "grad_norm": 1.6681166599057555, + "learning_rate": 3.5105688698335363e-06, + "loss": 0.8396, + "step": 31115 + }, + { + "epoch": 0.73, + "grad_norm": 1.46063333840646, + "learning_rate": 3.509988338907042e-06, + "loss": 0.9214, + "step": 31116 + }, + { + "epoch": 0.73, + "grad_norm": 2.078891735611307, + "learning_rate": 3.5094078457674553e-06, + "loss": 0.8564, + "step": 31117 + }, + { + "epoch": 0.73, + "grad_norm": 1.5644358177543343, + "learning_rate": 3.5088273904181457e-06, + "loss": 0.7376, + "step": 31118 + }, + { + "epoch": 0.73, + "grad_norm": 1.4818838369997016, + "learning_rate": 3.5082469728625034e-06, + "loss": 0.8647, + "step": 31119 + }, + { + "epoch": 0.73, + "grad_norm": 1.762503043005377, + "learning_rate": 3.5076665931038976e-06, + "loss": 0.9061, + "step": 31120 + }, + { + "epoch": 0.73, + "grad_norm": 1.501613826222138, + "learning_rate": 3.5070862511457172e-06, + "loss": 0.8754, + "step": 31121 + }, + { + "epoch": 0.73, + "grad_norm": 1.942927141006117, + "learning_rate": 3.5065059469913356e-06, + "loss": 0.7899, + "step": 31122 + }, + { + "epoch": 0.73, + "grad_norm": 1.5618080367903013, + "learning_rate": 3.5059256806441276e-06, + "loss": 0.7093, + "step": 31123 + }, + { + "epoch": 0.73, + "grad_norm": 1.6718496268726482, + "learning_rate": 3.505345452107478e-06, + "loss": 0.8401, + "step": 31124 + }, + { + "epoch": 0.73, + "grad_norm": 1.5320954770854904, + "learning_rate": 3.504765261384766e-06, + "loss": 0.7837, + "step": 31125 + }, + { + "epoch": 0.73, + "grad_norm": 1.9729592305294372, + "learning_rate": 3.5041851084793665e-06, + "loss": 0.7951, + "step": 31126 + }, + { + "epoch": 0.73, + "grad_norm": 1.5032958862406909, + "learning_rate": 3.503604993394656e-06, + "loss": 0.7875, + "step": 31127 + }, + { + "epoch": 0.73, + "grad_norm": 1.4859141917992609, + "learning_rate": 3.5030249161340124e-06, + "loss": 0.7911, + "step": 31128 + }, + { + "epoch": 0.73, + "grad_norm": 1.6125185277447014, + "learning_rate": 3.502444876700819e-06, + "loss": 0.8736, + "step": 31129 + }, + { + "epoch": 0.73, + "grad_norm": 1.5527007552171985, + "learning_rate": 3.5018648750984473e-06, + "loss": 0.8622, + "step": 31130 + }, + { + "epoch": 0.73, + "grad_norm": 1.6513636653234884, + "learning_rate": 3.5012849113302737e-06, + "loss": 0.9117, + "step": 31131 + }, + { + "epoch": 0.73, + "grad_norm": 1.4669760706964319, + "learning_rate": 3.5007049853996767e-06, + "loss": 0.8858, + "step": 31132 + }, + { + "epoch": 0.73, + "grad_norm": 1.914237931314017, + "learning_rate": 3.5001250973100353e-06, + "loss": 0.7592, + "step": 31133 + }, + { + "epoch": 0.73, + "grad_norm": 1.5221118380711864, + "learning_rate": 3.499545247064724e-06, + "loss": 0.712, + "step": 31134 + }, + { + "epoch": 0.73, + "grad_norm": 1.6334568192910146, + "learning_rate": 3.4989654346671143e-06, + "loss": 0.8473, + "step": 31135 + }, + { + "epoch": 0.73, + "grad_norm": 1.4554911838444247, + "learning_rate": 3.4983856601205903e-06, + "loss": 0.8665, + "step": 31136 + }, + { + "epoch": 0.73, + "grad_norm": 1.508258580416763, + "learning_rate": 3.49780592342852e-06, + "loss": 0.8246, + "step": 31137 + }, + { + "epoch": 0.73, + "grad_norm": 1.6558177609501792, + "learning_rate": 3.4972262245942847e-06, + "loss": 0.8179, + "step": 31138 + }, + { + "epoch": 0.73, + "grad_norm": 0.7857980760736442, + "learning_rate": 3.4966465636212543e-06, + "loss": 0.7457, + "step": 31139 + }, + { + "epoch": 0.73, + "grad_norm": 0.7515333080296321, + "learning_rate": 3.49606694051281e-06, + "loss": 0.7293, + "step": 31140 + }, + { + "epoch": 0.73, + "grad_norm": 1.4898645232959788, + "learning_rate": 3.4954873552723188e-06, + "loss": 0.7204, + "step": 31141 + }, + { + "epoch": 0.73, + "grad_norm": 1.5579948728240933, + "learning_rate": 3.494907807903164e-06, + "loss": 0.7444, + "step": 31142 + }, + { + "epoch": 0.73, + "grad_norm": 1.9014422975733787, + "learning_rate": 3.4943282984087147e-06, + "loss": 0.8098, + "step": 31143 + }, + { + "epoch": 0.73, + "grad_norm": 2.4558844488978515, + "learning_rate": 3.4937488267923426e-06, + "loss": 0.7981, + "step": 31144 + }, + { + "epoch": 0.73, + "grad_norm": 1.5113842512508255, + "learning_rate": 3.493169393057425e-06, + "loss": 0.8134, + "step": 31145 + }, + { + "epoch": 0.73, + "grad_norm": 1.4990714415356647, + "learning_rate": 3.4925899972073387e-06, + "loss": 0.8266, + "step": 31146 + }, + { + "epoch": 0.73, + "grad_norm": 0.7167539743896848, + "learning_rate": 3.4920106392454523e-06, + "loss": 0.7319, + "step": 31147 + }, + { + "epoch": 0.73, + "grad_norm": 1.5230074345201, + "learning_rate": 3.491431319175138e-06, + "loss": 0.7602, + "step": 31148 + }, + { + "epoch": 0.73, + "grad_norm": 1.5367416761472776, + "learning_rate": 3.490852036999771e-06, + "loss": 0.8441, + "step": 31149 + }, + { + "epoch": 0.73, + "grad_norm": 1.8718819503874555, + "learning_rate": 3.4902727927227277e-06, + "loss": 0.8238, + "step": 31150 + }, + { + "epoch": 0.73, + "grad_norm": 1.4442280830797323, + "learning_rate": 3.489693586347378e-06, + "loss": 0.8495, + "step": 31151 + }, + { + "epoch": 0.73, + "grad_norm": 1.6425076441138673, + "learning_rate": 3.4891144178770885e-06, + "loss": 0.8397, + "step": 31152 + }, + { + "epoch": 0.73, + "grad_norm": 1.556229178019339, + "learning_rate": 3.488535287315237e-06, + "loss": 0.8605, + "step": 31153 + }, + { + "epoch": 0.73, + "grad_norm": 2.125061333006547, + "learning_rate": 3.4879561946651974e-06, + "loss": 0.8527, + "step": 31154 + }, + { + "epoch": 0.73, + "grad_norm": 1.619691922659208, + "learning_rate": 3.487377139930339e-06, + "loss": 0.7494, + "step": 31155 + }, + { + "epoch": 0.73, + "grad_norm": 1.7194805511699771, + "learning_rate": 3.486798123114029e-06, + "loss": 0.8872, + "step": 31156 + }, + { + "epoch": 0.73, + "grad_norm": 1.8143339166706567, + "learning_rate": 3.486219144219646e-06, + "loss": 0.8968, + "step": 31157 + }, + { + "epoch": 0.73, + "grad_norm": 1.659112089158367, + "learning_rate": 3.485640203250553e-06, + "loss": 0.7201, + "step": 31158 + }, + { + "epoch": 0.73, + "grad_norm": 1.6151050872791397, + "learning_rate": 3.4850613002101295e-06, + "loss": 0.7642, + "step": 31159 + }, + { + "epoch": 0.73, + "grad_norm": 1.4807965380792514, + "learning_rate": 3.4844824351017394e-06, + "loss": 0.7186, + "step": 31160 + }, + { + "epoch": 0.73, + "grad_norm": 1.572209090255249, + "learning_rate": 3.483903607928757e-06, + "loss": 0.8262, + "step": 31161 + }, + { + "epoch": 0.73, + "grad_norm": 0.764160479943143, + "learning_rate": 3.4833248186945477e-06, + "loss": 0.6874, + "step": 31162 + }, + { + "epoch": 0.73, + "grad_norm": 0.7310361126206382, + "learning_rate": 3.4827460674024847e-06, + "loss": 0.7253, + "step": 31163 + }, + { + "epoch": 0.73, + "grad_norm": 1.6204411522338777, + "learning_rate": 3.4821673540559442e-06, + "loss": 0.8363, + "step": 31164 + }, + { + "epoch": 0.73, + "grad_norm": 1.3905417860566598, + "learning_rate": 3.481588678658282e-06, + "loss": 0.7954, + "step": 31165 + }, + { + "epoch": 0.73, + "grad_norm": 1.6366571535930705, + "learning_rate": 3.4810100412128743e-06, + "loss": 0.7889, + "step": 31166 + }, + { + "epoch": 0.73, + "grad_norm": 1.7155220170747794, + "learning_rate": 3.48043144172309e-06, + "loss": 0.8169, + "step": 31167 + }, + { + "epoch": 0.73, + "grad_norm": 1.426860938128788, + "learning_rate": 3.479852880192305e-06, + "loss": 0.8178, + "step": 31168 + }, + { + "epoch": 0.73, + "grad_norm": 1.5723645659303993, + "learning_rate": 3.479274356623874e-06, + "loss": 0.8893, + "step": 31169 + }, + { + "epoch": 0.73, + "grad_norm": 1.5425125285646664, + "learning_rate": 3.4786958710211714e-06, + "loss": 0.8479, + "step": 31170 + }, + { + "epoch": 0.73, + "grad_norm": 1.4743373471124266, + "learning_rate": 3.4781174233875705e-06, + "loss": 0.7477, + "step": 31171 + }, + { + "epoch": 0.73, + "grad_norm": 1.5812952639343922, + "learning_rate": 3.477539013726433e-06, + "loss": 0.8166, + "step": 31172 + }, + { + "epoch": 0.73, + "grad_norm": 1.5170559466875084, + "learning_rate": 3.4769606420411273e-06, + "loss": 0.8543, + "step": 31173 + }, + { + "epoch": 0.73, + "grad_norm": 1.5326199438184975, + "learning_rate": 3.4763823083350202e-06, + "loss": 0.9759, + "step": 31174 + }, + { + "epoch": 0.73, + "grad_norm": 2.0276446838623903, + "learning_rate": 3.4758040126114845e-06, + "loss": 0.9136, + "step": 31175 + }, + { + "epoch": 0.73, + "grad_norm": 1.7746177114706374, + "learning_rate": 3.47522575487388e-06, + "loss": 0.8986, + "step": 31176 + }, + { + "epoch": 0.73, + "grad_norm": 1.6714364829770805, + "learning_rate": 3.4746475351255806e-06, + "loss": 0.8181, + "step": 31177 + }, + { + "epoch": 0.73, + "grad_norm": 1.7393032930940089, + "learning_rate": 3.474069353369949e-06, + "loss": 0.8966, + "step": 31178 + }, + { + "epoch": 0.73, + "grad_norm": 1.6063549120846865, + "learning_rate": 3.473491209610347e-06, + "loss": 0.7762, + "step": 31179 + }, + { + "epoch": 0.73, + "grad_norm": 1.5686384992743154, + "learning_rate": 3.4729131038501475e-06, + "loss": 0.8309, + "step": 31180 + }, + { + "epoch": 0.73, + "grad_norm": 0.7366821125086267, + "learning_rate": 3.4723350360927165e-06, + "loss": 0.6174, + "step": 31181 + }, + { + "epoch": 0.73, + "grad_norm": 1.5281473856432823, + "learning_rate": 3.4717570063414174e-06, + "loss": 0.7829, + "step": 31182 + }, + { + "epoch": 0.73, + "grad_norm": 2.101135261219831, + "learning_rate": 3.4711790145996127e-06, + "loss": 0.7535, + "step": 31183 + }, + { + "epoch": 0.73, + "grad_norm": 2.0585867969848604, + "learning_rate": 3.470601060870671e-06, + "loss": 0.7876, + "step": 31184 + }, + { + "epoch": 0.73, + "grad_norm": 2.095024263878455, + "learning_rate": 3.4700231451579634e-06, + "loss": 0.888, + "step": 31185 + }, + { + "epoch": 0.73, + "grad_norm": 1.8586349179297807, + "learning_rate": 3.4694452674648425e-06, + "loss": 0.8292, + "step": 31186 + }, + { + "epoch": 0.73, + "grad_norm": 1.5500221022571368, + "learning_rate": 3.4688674277946775e-06, + "loss": 0.9246, + "step": 31187 + }, + { + "epoch": 0.73, + "grad_norm": 1.6725698471755683, + "learning_rate": 3.468289626150836e-06, + "loss": 0.869, + "step": 31188 + }, + { + "epoch": 0.73, + "grad_norm": 1.5805073938616447, + "learning_rate": 3.4677118625366825e-06, + "loss": 0.9234, + "step": 31189 + }, + { + "epoch": 0.73, + "grad_norm": 1.7806429311479244, + "learning_rate": 3.4671341369555776e-06, + "loss": 0.7795, + "step": 31190 + }, + { + "epoch": 0.73, + "grad_norm": 1.6276742330927236, + "learning_rate": 3.4665564494108837e-06, + "loss": 0.9276, + "step": 31191 + }, + { + "epoch": 0.73, + "grad_norm": 1.705175028423474, + "learning_rate": 3.46597879990597e-06, + "loss": 0.814, + "step": 31192 + }, + { + "epoch": 0.73, + "grad_norm": 1.4910752499599191, + "learning_rate": 3.465401188444193e-06, + "loss": 0.9492, + "step": 31193 + }, + { + "epoch": 0.73, + "grad_norm": 0.755487975214288, + "learning_rate": 3.464823615028923e-06, + "loss": 0.6902, + "step": 31194 + }, + { + "epoch": 0.73, + "grad_norm": 1.6260625419852666, + "learning_rate": 3.4642460796635146e-06, + "loss": 0.7903, + "step": 31195 + }, + { + "epoch": 0.73, + "grad_norm": 2.3987136114091356, + "learning_rate": 3.4636685823513384e-06, + "loss": 0.9035, + "step": 31196 + }, + { + "epoch": 0.73, + "grad_norm": 1.6040580735647982, + "learning_rate": 3.4630911230957486e-06, + "loss": 0.8058, + "step": 31197 + }, + { + "epoch": 0.74, + "grad_norm": 1.8251279544047871, + "learning_rate": 3.4625137019001164e-06, + "loss": 0.8838, + "step": 31198 + }, + { + "epoch": 0.74, + "grad_norm": 1.4779702755033766, + "learning_rate": 3.461936318767799e-06, + "loss": 0.6385, + "step": 31199 + }, + { + "epoch": 0.74, + "grad_norm": 1.9185822604505856, + "learning_rate": 3.4613589737021557e-06, + "loss": 0.8843, + "step": 31200 + }, + { + "epoch": 0.74, + "grad_norm": 2.1247614712445437, + "learning_rate": 3.4607816667065497e-06, + "loss": 0.7451, + "step": 31201 + }, + { + "epoch": 0.74, + "grad_norm": 1.701953550581488, + "learning_rate": 3.460204397784347e-06, + "loss": 0.7661, + "step": 31202 + }, + { + "epoch": 0.74, + "grad_norm": 1.6573617220584604, + "learning_rate": 3.459627166938904e-06, + "loss": 0.7663, + "step": 31203 + }, + { + "epoch": 0.74, + "grad_norm": 1.498664919226866, + "learning_rate": 3.4590499741735796e-06, + "loss": 0.7956, + "step": 31204 + }, + { + "epoch": 0.74, + "grad_norm": 2.1185337439739143, + "learning_rate": 3.4584728194917363e-06, + "loss": 0.8569, + "step": 31205 + }, + { + "epoch": 0.74, + "grad_norm": 1.5109648388460761, + "learning_rate": 3.4578957028967388e-06, + "loss": 0.8857, + "step": 31206 + }, + { + "epoch": 0.74, + "grad_norm": 1.5826534430785022, + "learning_rate": 3.4573186243919443e-06, + "loss": 0.9227, + "step": 31207 + }, + { + "epoch": 0.74, + "grad_norm": 1.8070382117305026, + "learning_rate": 3.4567415839807083e-06, + "loss": 0.9337, + "step": 31208 + }, + { + "epoch": 0.74, + "grad_norm": 2.407938943714929, + "learning_rate": 3.4561645816663945e-06, + "loss": 0.8584, + "step": 31209 + }, + { + "epoch": 0.74, + "grad_norm": 1.6679394921683748, + "learning_rate": 3.455587617452365e-06, + "loss": 0.7052, + "step": 31210 + }, + { + "epoch": 0.74, + "grad_norm": 1.451438622543245, + "learning_rate": 3.455010691341978e-06, + "loss": 0.7701, + "step": 31211 + }, + { + "epoch": 0.74, + "grad_norm": 1.5819590661717822, + "learning_rate": 3.454433803338586e-06, + "loss": 0.6095, + "step": 31212 + }, + { + "epoch": 0.74, + "grad_norm": 1.6603929699922793, + "learning_rate": 3.453856953445557e-06, + "loss": 0.969, + "step": 31213 + }, + { + "epoch": 0.74, + "grad_norm": 1.9619861287696783, + "learning_rate": 3.453280141666241e-06, + "loss": 0.9299, + "step": 31214 + }, + { + "epoch": 0.74, + "grad_norm": 1.7501263453783982, + "learning_rate": 3.4527033680040047e-06, + "loss": 0.7422, + "step": 31215 + }, + { + "epoch": 0.74, + "grad_norm": 1.6166232586856286, + "learning_rate": 3.4521266324621983e-06, + "loss": 0.7492, + "step": 31216 + }, + { + "epoch": 0.74, + "grad_norm": 1.4233982869388784, + "learning_rate": 3.451549935044187e-06, + "loss": 0.9888, + "step": 31217 + }, + { + "epoch": 0.74, + "grad_norm": 1.475635479765036, + "learning_rate": 3.450973275753322e-06, + "loss": 0.8517, + "step": 31218 + }, + { + "epoch": 0.74, + "grad_norm": 1.496515024133514, + "learning_rate": 3.450396654592968e-06, + "loss": 0.7962, + "step": 31219 + }, + { + "epoch": 0.74, + "grad_norm": 1.4436359703471107, + "learning_rate": 3.4498200715664775e-06, + "loss": 0.8701, + "step": 31220 + }, + { + "epoch": 0.74, + "grad_norm": 1.9128903787221607, + "learning_rate": 3.449243526677205e-06, + "loss": 0.8949, + "step": 31221 + }, + { + "epoch": 0.74, + "grad_norm": 1.6219957139030354, + "learning_rate": 3.448667019928511e-06, + "loss": 0.8357, + "step": 31222 + }, + { + "epoch": 0.74, + "grad_norm": 1.514135068176155, + "learning_rate": 3.448090551323755e-06, + "loss": 0.7581, + "step": 31223 + }, + { + "epoch": 0.74, + "grad_norm": 1.620561261542445, + "learning_rate": 3.44751412086629e-06, + "loss": 0.7552, + "step": 31224 + }, + { + "epoch": 0.74, + "grad_norm": 4.376109475633645, + "learning_rate": 3.4469377285594687e-06, + "loss": 0.7835, + "step": 31225 + }, + { + "epoch": 0.74, + "grad_norm": 1.574130214941863, + "learning_rate": 3.4463613744066516e-06, + "loss": 0.8831, + "step": 31226 + }, + { + "epoch": 0.74, + "grad_norm": 1.6321567249382414, + "learning_rate": 3.445785058411195e-06, + "loss": 0.7617, + "step": 31227 + }, + { + "epoch": 0.74, + "grad_norm": 2.673933386015155, + "learning_rate": 3.4452087805764544e-06, + "loss": 0.8959, + "step": 31228 + }, + { + "epoch": 0.74, + "grad_norm": 1.6804942334117272, + "learning_rate": 3.4446325409057792e-06, + "loss": 0.8763, + "step": 31229 + }, + { + "epoch": 0.74, + "grad_norm": 1.584565997092863, + "learning_rate": 3.4440563394025294e-06, + "loss": 0.7656, + "step": 31230 + }, + { + "epoch": 0.74, + "grad_norm": 1.9172676934977735, + "learning_rate": 3.443480176070062e-06, + "loss": 0.8167, + "step": 31231 + }, + { + "epoch": 0.74, + "grad_norm": 1.713757748434657, + "learning_rate": 3.4429040509117295e-06, + "loss": 0.8488, + "step": 31232 + }, + { + "epoch": 0.74, + "grad_norm": 1.5249897333928686, + "learning_rate": 3.4423279639308815e-06, + "loss": 0.8683, + "step": 31233 + }, + { + "epoch": 0.74, + "grad_norm": 1.623023767312557, + "learning_rate": 3.4417519151308763e-06, + "loss": 0.8296, + "step": 31234 + }, + { + "epoch": 0.74, + "grad_norm": 1.5556337116909265, + "learning_rate": 3.441175904515072e-06, + "loss": 0.8036, + "step": 31235 + }, + { + "epoch": 0.74, + "grad_norm": 1.6860411881671193, + "learning_rate": 3.4405999320868165e-06, + "loss": 0.944, + "step": 31236 + }, + { + "epoch": 0.74, + "grad_norm": 2.6562137921447815, + "learning_rate": 3.440023997849462e-06, + "loss": 0.8906, + "step": 31237 + }, + { + "epoch": 0.74, + "grad_norm": 1.5415690202965273, + "learning_rate": 3.4394481018063685e-06, + "loss": 0.8683, + "step": 31238 + }, + { + "epoch": 0.74, + "grad_norm": 1.5418240942212276, + "learning_rate": 3.4388722439608822e-06, + "loss": 0.8824, + "step": 31239 + }, + { + "epoch": 0.74, + "grad_norm": 1.5441120000495896, + "learning_rate": 3.438296424316362e-06, + "loss": 0.7434, + "step": 31240 + }, + { + "epoch": 0.74, + "grad_norm": 1.640946571093667, + "learning_rate": 3.4377206428761534e-06, + "loss": 0.7747, + "step": 31241 + }, + { + "epoch": 0.74, + "grad_norm": 0.7734559169950823, + "learning_rate": 3.4371448996436163e-06, + "loss": 0.7137, + "step": 31242 + }, + { + "epoch": 0.74, + "grad_norm": 0.7863953166926804, + "learning_rate": 3.436569194622096e-06, + "loss": 0.7117, + "step": 31243 + }, + { + "epoch": 0.74, + "grad_norm": 1.64941963169593, + "learning_rate": 3.4359935278149513e-06, + "loss": 0.8637, + "step": 31244 + }, + { + "epoch": 0.74, + "grad_norm": 1.6334527567755859, + "learning_rate": 3.4354178992255306e-06, + "loss": 0.8427, + "step": 31245 + }, + { + "epoch": 0.74, + "grad_norm": 1.4151611308793208, + "learning_rate": 3.4348423088571815e-06, + "loss": 0.8551, + "step": 31246 + }, + { + "epoch": 0.74, + "grad_norm": 1.568412706982141, + "learning_rate": 3.4342667567132593e-06, + "loss": 0.8927, + "step": 31247 + }, + { + "epoch": 0.74, + "grad_norm": 1.6793781179777136, + "learning_rate": 3.433691242797118e-06, + "loss": 0.8276, + "step": 31248 + }, + { + "epoch": 0.74, + "grad_norm": 0.7199062869953519, + "learning_rate": 3.433115767112105e-06, + "loss": 0.709, + "step": 31249 + }, + { + "epoch": 0.74, + "grad_norm": 1.995481714148886, + "learning_rate": 3.4325403296615677e-06, + "loss": 0.7755, + "step": 31250 + }, + { + "epoch": 0.74, + "grad_norm": 1.675713216169196, + "learning_rate": 3.43196493044886e-06, + "loss": 0.8246, + "step": 31251 + }, + { + "epoch": 0.74, + "grad_norm": 1.6522548871953697, + "learning_rate": 3.4313895694773357e-06, + "loss": 0.8319, + "step": 31252 + }, + { + "epoch": 0.74, + "grad_norm": 1.4372767018149404, + "learning_rate": 3.4308142467503404e-06, + "loss": 0.7961, + "step": 31253 + }, + { + "epoch": 0.74, + "grad_norm": 1.6377073585295272, + "learning_rate": 3.4302389622712207e-06, + "loss": 0.7989, + "step": 31254 + }, + { + "epoch": 0.74, + "grad_norm": 1.6247914250907074, + "learning_rate": 3.42966371604333e-06, + "loss": 0.7519, + "step": 31255 + }, + { + "epoch": 0.74, + "grad_norm": 1.4557812735931266, + "learning_rate": 3.429088508070021e-06, + "loss": 0.7974, + "step": 31256 + }, + { + "epoch": 0.74, + "grad_norm": 1.6389981399954774, + "learning_rate": 3.428513338354639e-06, + "loss": 0.8701, + "step": 31257 + }, + { + "epoch": 0.74, + "grad_norm": 1.9888708755589992, + "learning_rate": 3.4279382069005283e-06, + "loss": 0.91, + "step": 31258 + }, + { + "epoch": 0.74, + "grad_norm": 1.431649155330322, + "learning_rate": 3.4273631137110464e-06, + "loss": 0.9134, + "step": 31259 + }, + { + "epoch": 0.74, + "grad_norm": 2.0115927711757653, + "learning_rate": 3.4267880587895343e-06, + "loss": 0.9024, + "step": 31260 + }, + { + "epoch": 0.74, + "grad_norm": 2.1318684933329655, + "learning_rate": 3.4262130421393424e-06, + "loss": 0.8266, + "step": 31261 + }, + { + "epoch": 0.74, + "grad_norm": 2.474897528357021, + "learning_rate": 3.425638063763823e-06, + "loss": 0.9599, + "step": 31262 + }, + { + "epoch": 0.74, + "grad_norm": 1.619770553971361, + "learning_rate": 3.42506312366632e-06, + "loss": 0.7985, + "step": 31263 + }, + { + "epoch": 0.74, + "grad_norm": 1.8109839160523549, + "learning_rate": 3.4244882218501775e-06, + "loss": 0.8766, + "step": 31264 + }, + { + "epoch": 0.74, + "grad_norm": 1.5767337386174318, + "learning_rate": 3.423913358318747e-06, + "loss": 0.8931, + "step": 31265 + }, + { + "epoch": 0.74, + "grad_norm": 1.6656406481160286, + "learning_rate": 3.423338533075381e-06, + "loss": 0.9288, + "step": 31266 + }, + { + "epoch": 0.74, + "grad_norm": 1.487432178112543, + "learning_rate": 3.422763746123414e-06, + "loss": 0.8089, + "step": 31267 + }, + { + "epoch": 0.74, + "grad_norm": 1.8694492747661164, + "learning_rate": 3.422188997466199e-06, + "loss": 0.7965, + "step": 31268 + }, + { + "epoch": 0.74, + "grad_norm": 1.8117106599918071, + "learning_rate": 3.421614287107082e-06, + "loss": 0.8222, + "step": 31269 + }, + { + "epoch": 0.74, + "grad_norm": 1.5509366713446733, + "learning_rate": 3.4210396150494152e-06, + "loss": 0.8456, + "step": 31270 + }, + { + "epoch": 0.74, + "grad_norm": 1.4638464458711025, + "learning_rate": 3.4204649812965327e-06, + "loss": 0.8955, + "step": 31271 + }, + { + "epoch": 0.74, + "grad_norm": 1.7900476100067728, + "learning_rate": 3.4198903858517863e-06, + "loss": 0.9053, + "step": 31272 + }, + { + "epoch": 0.74, + "grad_norm": 1.5488428908153238, + "learning_rate": 3.4193158287185248e-06, + "loss": 0.7518, + "step": 31273 + }, + { + "epoch": 0.74, + "grad_norm": 1.6785178068039244, + "learning_rate": 3.4187413099000854e-06, + "loss": 0.8419, + "step": 31274 + }, + { + "epoch": 0.74, + "grad_norm": 1.8407634500870929, + "learning_rate": 3.4181668293998216e-06, + "loss": 0.8552, + "step": 31275 + }, + { + "epoch": 0.74, + "grad_norm": 1.7326517592472894, + "learning_rate": 3.4175923872210715e-06, + "loss": 0.8552, + "step": 31276 + }, + { + "epoch": 0.74, + "grad_norm": 0.7330906231700662, + "learning_rate": 3.4170179833671847e-06, + "loss": 0.6955, + "step": 31277 + }, + { + "epoch": 0.74, + "grad_norm": 1.7559146000394292, + "learning_rate": 3.4164436178415007e-06, + "loss": 0.8208, + "step": 31278 + }, + { + "epoch": 0.74, + "grad_norm": 1.557181502657161, + "learning_rate": 3.41586929064737e-06, + "loss": 0.8064, + "step": 31279 + }, + { + "epoch": 0.74, + "grad_norm": 1.7196376276333951, + "learning_rate": 3.4152950017881325e-06, + "loss": 0.8018, + "step": 31280 + }, + { + "epoch": 0.74, + "grad_norm": 1.7145171661998637, + "learning_rate": 3.414720751267129e-06, + "loss": 0.7225, + "step": 31281 + }, + { + "epoch": 0.74, + "grad_norm": 1.930195175475632, + "learning_rate": 3.414146539087706e-06, + "loss": 0.9221, + "step": 31282 + }, + { + "epoch": 0.74, + "grad_norm": 1.647942284322207, + "learning_rate": 3.4135723652532093e-06, + "loss": 0.9309, + "step": 31283 + }, + { + "epoch": 0.74, + "grad_norm": 1.4322087081022654, + "learning_rate": 3.4129982297669807e-06, + "loss": 0.8684, + "step": 31284 + }, + { + "epoch": 0.74, + "grad_norm": 1.5144968502685443, + "learning_rate": 3.412424132632358e-06, + "loss": 0.8827, + "step": 31285 + }, + { + "epoch": 0.74, + "grad_norm": 1.5137342234814575, + "learning_rate": 3.411850073852688e-06, + "loss": 0.9526, + "step": 31286 + }, + { + "epoch": 0.74, + "grad_norm": 1.943241910568344, + "learning_rate": 3.411276053431315e-06, + "loss": 0.9152, + "step": 31287 + }, + { + "epoch": 0.74, + "grad_norm": 1.7227616858187775, + "learning_rate": 3.41070207137158e-06, + "loss": 0.7628, + "step": 31288 + }, + { + "epoch": 0.74, + "grad_norm": 1.6215456201387555, + "learning_rate": 3.4101281276768194e-06, + "loss": 0.826, + "step": 31289 + }, + { + "epoch": 0.74, + "grad_norm": 1.6189803351970702, + "learning_rate": 3.4095542223503795e-06, + "loss": 0.7926, + "step": 31290 + }, + { + "epoch": 0.74, + "grad_norm": 1.6881865619642267, + "learning_rate": 3.4089803553956058e-06, + "loss": 0.7586, + "step": 31291 + }, + { + "epoch": 0.74, + "grad_norm": 1.6944235234887177, + "learning_rate": 3.4084065268158338e-06, + "loss": 0.76, + "step": 31292 + }, + { + "epoch": 0.74, + "grad_norm": 1.5332961270650616, + "learning_rate": 3.4078327366144025e-06, + "loss": 0.8605, + "step": 31293 + }, + { + "epoch": 0.74, + "grad_norm": 2.2589739062573213, + "learning_rate": 3.4072589847946603e-06, + "loss": 0.7977, + "step": 31294 + }, + { + "epoch": 0.74, + "grad_norm": 1.5558341018536948, + "learning_rate": 3.40668527135994e-06, + "loss": 0.7725, + "step": 31295 + }, + { + "epoch": 0.74, + "grad_norm": 1.555602083397845, + "learning_rate": 3.406111596313588e-06, + "loss": 0.8379, + "step": 31296 + }, + { + "epoch": 0.74, + "grad_norm": 2.1637350737750225, + "learning_rate": 3.4055379596589387e-06, + "loss": 0.8501, + "step": 31297 + }, + { + "epoch": 0.74, + "grad_norm": 1.6078860439359972, + "learning_rate": 3.404964361399339e-06, + "loss": 0.987, + "step": 31298 + }, + { + "epoch": 0.74, + "grad_norm": 1.829308926888376, + "learning_rate": 3.4043908015381212e-06, + "loss": 0.9059, + "step": 31299 + }, + { + "epoch": 0.74, + "grad_norm": 1.8679675477395263, + "learning_rate": 3.4038172800786317e-06, + "loss": 0.9717, + "step": 31300 + }, + { + "epoch": 0.74, + "grad_norm": 1.609550367256968, + "learning_rate": 3.403243797024206e-06, + "loss": 0.8403, + "step": 31301 + }, + { + "epoch": 0.74, + "grad_norm": 0.7565167949352097, + "learning_rate": 3.40267035237818e-06, + "loss": 0.721, + "step": 31302 + }, + { + "epoch": 0.74, + "grad_norm": 1.7912077896531724, + "learning_rate": 3.4020969461438966e-06, + "loss": 1.0281, + "step": 31303 + }, + { + "epoch": 0.74, + "grad_norm": 1.49691171482178, + "learning_rate": 3.401523578324697e-06, + "loss": 0.8703, + "step": 31304 + }, + { + "epoch": 0.74, + "grad_norm": 1.4505400589453779, + "learning_rate": 3.4009502489239157e-06, + "loss": 0.6545, + "step": 31305 + }, + { + "epoch": 0.74, + "grad_norm": 1.7765467216584765, + "learning_rate": 3.4003769579448875e-06, + "loss": 0.8363, + "step": 31306 + }, + { + "epoch": 0.74, + "grad_norm": 1.7693398857496374, + "learning_rate": 3.399803705390955e-06, + "loss": 0.8344, + "step": 31307 + }, + { + "epoch": 0.74, + "grad_norm": 1.630596663321736, + "learning_rate": 3.3992304912654573e-06, + "loss": 0.8697, + "step": 31308 + }, + { + "epoch": 0.74, + "grad_norm": 1.5741947144653579, + "learning_rate": 3.3986573155717307e-06, + "loss": 0.7138, + "step": 31309 + }, + { + "epoch": 0.74, + "grad_norm": 1.3579015310168547, + "learning_rate": 3.3980841783131067e-06, + "loss": 0.863, + "step": 31310 + }, + { + "epoch": 0.74, + "grad_norm": 1.5525905545336265, + "learning_rate": 3.3975110794929267e-06, + "loss": 0.8188, + "step": 31311 + }, + { + "epoch": 0.74, + "grad_norm": 1.6605141303754989, + "learning_rate": 3.396938019114532e-06, + "loss": 0.8147, + "step": 31312 + }, + { + "epoch": 0.74, + "grad_norm": 0.7291667148648259, + "learning_rate": 3.396364997181254e-06, + "loss": 0.7114, + "step": 31313 + }, + { + "epoch": 0.74, + "grad_norm": 1.647296854736395, + "learning_rate": 3.395792013696426e-06, + "loss": 0.9408, + "step": 31314 + }, + { + "epoch": 0.74, + "grad_norm": 2.468120856338312, + "learning_rate": 3.3952190686633914e-06, + "loss": 0.8172, + "step": 31315 + }, + { + "epoch": 0.74, + "grad_norm": 1.6811381435888673, + "learning_rate": 3.3946461620854788e-06, + "loss": 0.9437, + "step": 31316 + }, + { + "epoch": 0.74, + "grad_norm": 1.5953532774762702, + "learning_rate": 3.3940732939660303e-06, + "loss": 0.7021, + "step": 31317 + }, + { + "epoch": 0.74, + "grad_norm": 1.6693708949017823, + "learning_rate": 3.393500464308377e-06, + "loss": 0.9024, + "step": 31318 + }, + { + "epoch": 0.74, + "grad_norm": 1.4211695403441411, + "learning_rate": 3.392927673115857e-06, + "loss": 0.8279, + "step": 31319 + }, + { + "epoch": 0.74, + "grad_norm": 1.7907400079215352, + "learning_rate": 3.3923549203918017e-06, + "loss": 0.8777, + "step": 31320 + }, + { + "epoch": 0.74, + "grad_norm": 2.6731805309309267, + "learning_rate": 3.391782206139551e-06, + "loss": 0.7674, + "step": 31321 + }, + { + "epoch": 0.74, + "grad_norm": 1.6099537747014199, + "learning_rate": 3.391209530362436e-06, + "loss": 0.8842, + "step": 31322 + }, + { + "epoch": 0.74, + "grad_norm": 1.5660925551287261, + "learning_rate": 3.390636893063789e-06, + "loss": 0.7704, + "step": 31323 + }, + { + "epoch": 0.74, + "grad_norm": 1.672403596301627, + "learning_rate": 3.390064294246945e-06, + "loss": 0.7952, + "step": 31324 + }, + { + "epoch": 0.74, + "grad_norm": 1.9288594178496357, + "learning_rate": 3.3894917339152444e-06, + "loss": 0.8471, + "step": 31325 + }, + { + "epoch": 0.74, + "grad_norm": 1.5315619228040964, + "learning_rate": 3.388919212072015e-06, + "loss": 0.8695, + "step": 31326 + }, + { + "epoch": 0.74, + "grad_norm": 1.5852995251638282, + "learning_rate": 3.3883467287205874e-06, + "loss": 0.761, + "step": 31327 + }, + { + "epoch": 0.74, + "grad_norm": 1.4679489860191062, + "learning_rate": 3.387774283864298e-06, + "loss": 0.9087, + "step": 31328 + }, + { + "epoch": 0.74, + "grad_norm": 1.6709938774520001, + "learning_rate": 3.387201877506484e-06, + "loss": 0.8519, + "step": 31329 + }, + { + "epoch": 0.74, + "grad_norm": 1.465875408195359, + "learning_rate": 3.3866295096504744e-06, + "loss": 0.7785, + "step": 31330 + }, + { + "epoch": 0.74, + "grad_norm": 1.5052598468016143, + "learning_rate": 3.386057180299599e-06, + "loss": 0.8001, + "step": 31331 + }, + { + "epoch": 0.74, + "grad_norm": 1.779067680542931, + "learning_rate": 3.3854848894571913e-06, + "loss": 0.9056, + "step": 31332 + }, + { + "epoch": 0.74, + "grad_norm": 1.4832791137960277, + "learning_rate": 3.384912637126588e-06, + "loss": 0.8771, + "step": 31333 + }, + { + "epoch": 0.74, + "grad_norm": 1.8565345461590985, + "learning_rate": 3.3843404233111187e-06, + "loss": 0.7258, + "step": 31334 + }, + { + "epoch": 0.74, + "grad_norm": 0.8401667553526725, + "learning_rate": 3.38376824801411e-06, + "loss": 0.7205, + "step": 31335 + }, + { + "epoch": 0.74, + "grad_norm": 1.7043487934791626, + "learning_rate": 3.3831961112389e-06, + "loss": 0.6893, + "step": 31336 + }, + { + "epoch": 0.74, + "grad_norm": 1.702373130504811, + "learning_rate": 3.3826240129888143e-06, + "loss": 0.7936, + "step": 31337 + }, + { + "epoch": 0.74, + "grad_norm": 1.510205663565103, + "learning_rate": 3.3820519532671905e-06, + "loss": 0.9367, + "step": 31338 + }, + { + "epoch": 0.74, + "grad_norm": 1.6012328168732264, + "learning_rate": 3.3814799320773517e-06, + "loss": 0.7546, + "step": 31339 + }, + { + "epoch": 0.74, + "grad_norm": 1.6431960339588851, + "learning_rate": 3.3809079494226347e-06, + "loss": 0.8408, + "step": 31340 + }, + { + "epoch": 0.74, + "grad_norm": 2.3960611924950492, + "learning_rate": 3.380336005306365e-06, + "loss": 0.8507, + "step": 31341 + }, + { + "epoch": 0.74, + "grad_norm": 1.7674809508358842, + "learning_rate": 3.379764099731877e-06, + "loss": 0.9545, + "step": 31342 + }, + { + "epoch": 0.74, + "grad_norm": 1.8946222879931898, + "learning_rate": 3.3791922327024994e-06, + "loss": 0.8419, + "step": 31343 + }, + { + "epoch": 0.74, + "grad_norm": 1.7316989729849661, + "learning_rate": 3.3786204042215576e-06, + "loss": 0.8374, + "step": 31344 + }, + { + "epoch": 0.74, + "grad_norm": 1.5114429312009547, + "learning_rate": 3.378048614292383e-06, + "loss": 0.7579, + "step": 31345 + }, + { + "epoch": 0.74, + "grad_norm": 1.87983762237803, + "learning_rate": 3.3774768629183065e-06, + "loss": 0.7275, + "step": 31346 + }, + { + "epoch": 0.74, + "grad_norm": 1.6942818827828674, + "learning_rate": 3.376905150102663e-06, + "loss": 0.8457, + "step": 31347 + }, + { + "epoch": 0.74, + "grad_norm": 1.5855024879414574, + "learning_rate": 3.3763334758487674e-06, + "loss": 0.8414, + "step": 31348 + }, + { + "epoch": 0.74, + "grad_norm": 2.203751351962395, + "learning_rate": 3.375761840159956e-06, + "loss": 0.8328, + "step": 31349 + }, + { + "epoch": 0.74, + "grad_norm": 1.922050606629176, + "learning_rate": 3.3751902430395558e-06, + "loss": 0.8478, + "step": 31350 + }, + { + "epoch": 0.74, + "grad_norm": 1.4949487497685336, + "learning_rate": 3.3746186844909025e-06, + "loss": 0.8642, + "step": 31351 + }, + { + "epoch": 0.74, + "grad_norm": 2.4974944827189183, + "learning_rate": 3.374047164517309e-06, + "loss": 0.9646, + "step": 31352 + }, + { + "epoch": 0.74, + "grad_norm": 1.623379667695261, + "learning_rate": 3.3734756831221116e-06, + "loss": 0.7756, + "step": 31353 + }, + { + "epoch": 0.74, + "grad_norm": 1.7658461028716053, + "learning_rate": 3.37290424030864e-06, + "loss": 0.9216, + "step": 31354 + }, + { + "epoch": 0.74, + "grad_norm": 1.7347171622197082, + "learning_rate": 3.3723328360802187e-06, + "loss": 0.7447, + "step": 31355 + }, + { + "epoch": 0.74, + "grad_norm": 1.6307094839699674, + "learning_rate": 3.371761470440169e-06, + "loss": 0.8056, + "step": 31356 + }, + { + "epoch": 0.74, + "grad_norm": 1.7731251329923072, + "learning_rate": 3.371190143391824e-06, + "loss": 0.8001, + "step": 31357 + }, + { + "epoch": 0.74, + "grad_norm": 1.4209625328615645, + "learning_rate": 3.370618854938511e-06, + "loss": 0.8042, + "step": 31358 + }, + { + "epoch": 0.74, + "grad_norm": 4.377201573068278, + "learning_rate": 3.3700476050835506e-06, + "loss": 0.8343, + "step": 31359 + }, + { + "epoch": 0.74, + "grad_norm": 1.6400541385968728, + "learning_rate": 3.3694763938302764e-06, + "loss": 0.7873, + "step": 31360 + }, + { + "epoch": 0.74, + "grad_norm": 1.725952040719986, + "learning_rate": 3.368905221182008e-06, + "loss": 0.8335, + "step": 31361 + }, + { + "epoch": 0.74, + "grad_norm": 1.4651244844202862, + "learning_rate": 3.3683340871420712e-06, + "loss": 0.9062, + "step": 31362 + }, + { + "epoch": 0.74, + "grad_norm": 1.429391466435904, + "learning_rate": 3.367762991713792e-06, + "loss": 0.8635, + "step": 31363 + }, + { + "epoch": 0.74, + "grad_norm": 1.697232590930448, + "learning_rate": 3.3671919349005e-06, + "loss": 0.8916, + "step": 31364 + }, + { + "epoch": 0.74, + "grad_norm": 1.6189379410993538, + "learning_rate": 3.3666209167055163e-06, + "loss": 0.8215, + "step": 31365 + }, + { + "epoch": 0.74, + "grad_norm": 1.5850278991862525, + "learning_rate": 3.366049937132162e-06, + "loss": 0.8227, + "step": 31366 + }, + { + "epoch": 0.74, + "grad_norm": 1.6310896691958077, + "learning_rate": 3.3654789961837666e-06, + "loss": 0.7403, + "step": 31367 + }, + { + "epoch": 0.74, + "grad_norm": 1.5934706428412522, + "learning_rate": 3.364908093863658e-06, + "loss": 0.8774, + "step": 31368 + }, + { + "epoch": 0.74, + "grad_norm": 1.6386256642846297, + "learning_rate": 3.3643372301751498e-06, + "loss": 0.8561, + "step": 31369 + }, + { + "epoch": 0.74, + "grad_norm": 1.4881711350864202, + "learning_rate": 3.3637664051215703e-06, + "loss": 0.7219, + "step": 31370 + }, + { + "epoch": 0.74, + "grad_norm": 1.4059808371038367, + "learning_rate": 3.363195618706243e-06, + "loss": 0.8824, + "step": 31371 + }, + { + "epoch": 0.74, + "grad_norm": 1.5580895068768552, + "learning_rate": 3.3626248709324973e-06, + "loss": 0.8585, + "step": 31372 + }, + { + "epoch": 0.74, + "grad_norm": 1.7350294430905449, + "learning_rate": 3.3620541618036496e-06, + "loss": 0.7934, + "step": 31373 + }, + { + "epoch": 0.74, + "grad_norm": 1.5568412662261346, + "learning_rate": 3.361483491323021e-06, + "loss": 0.7454, + "step": 31374 + }, + { + "epoch": 0.74, + "grad_norm": 0.804538472816006, + "learning_rate": 3.36091285949394e-06, + "loss": 0.6822, + "step": 31375 + }, + { + "epoch": 0.74, + "grad_norm": 1.5922252714101988, + "learning_rate": 3.3603422663197236e-06, + "loss": 0.8032, + "step": 31376 + }, + { + "epoch": 0.74, + "grad_norm": 1.4421413387137019, + "learning_rate": 3.3597717118037e-06, + "loss": 0.9038, + "step": 31377 + }, + { + "epoch": 0.74, + "grad_norm": 1.765984856140628, + "learning_rate": 3.3592011959491844e-06, + "loss": 0.9307, + "step": 31378 + }, + { + "epoch": 0.74, + "grad_norm": 1.5898842955059838, + "learning_rate": 3.3586307187595045e-06, + "loss": 0.7437, + "step": 31379 + }, + { + "epoch": 0.74, + "grad_norm": 1.6186529071441522, + "learning_rate": 3.358060280237977e-06, + "loss": 0.9352, + "step": 31380 + }, + { + "epoch": 0.74, + "grad_norm": 1.6017745792736804, + "learning_rate": 3.3574898803879286e-06, + "loss": 0.8277, + "step": 31381 + }, + { + "epoch": 0.74, + "grad_norm": 1.7592568671606834, + "learning_rate": 3.3569195192126758e-06, + "loss": 0.8464, + "step": 31382 + }, + { + "epoch": 0.74, + "grad_norm": 1.4174968780826964, + "learning_rate": 3.356349196715538e-06, + "loss": 0.6691, + "step": 31383 + }, + { + "epoch": 0.74, + "grad_norm": 1.6039235754669476, + "learning_rate": 3.35577891289984e-06, + "loss": 0.8367, + "step": 31384 + }, + { + "epoch": 0.74, + "grad_norm": 1.4838157357067614, + "learning_rate": 3.355208667768902e-06, + "loss": 0.8494, + "step": 31385 + }, + { + "epoch": 0.74, + "grad_norm": 1.6763000320391235, + "learning_rate": 3.354638461326043e-06, + "loss": 0.8282, + "step": 31386 + }, + { + "epoch": 0.74, + "grad_norm": 1.6212639033903091, + "learning_rate": 3.3540682935745804e-06, + "loss": 0.8892, + "step": 31387 + }, + { + "epoch": 0.74, + "grad_norm": 1.72917833211955, + "learning_rate": 3.3534981645178356e-06, + "loss": 0.8584, + "step": 31388 + }, + { + "epoch": 0.74, + "grad_norm": 1.830869585853778, + "learning_rate": 3.352928074159133e-06, + "loss": 1.0399, + "step": 31389 + }, + { + "epoch": 0.74, + "grad_norm": 1.8962336517454004, + "learning_rate": 3.3523580225017872e-06, + "loss": 0.804, + "step": 31390 + }, + { + "epoch": 0.74, + "grad_norm": 1.7277401956108294, + "learning_rate": 3.351788009549114e-06, + "loss": 0.8656, + "step": 31391 + }, + { + "epoch": 0.74, + "grad_norm": 1.4353957756799567, + "learning_rate": 3.3512180353044356e-06, + "loss": 0.8224, + "step": 31392 + }, + { + "epoch": 0.74, + "grad_norm": 1.7146589037768536, + "learning_rate": 3.3506480997710743e-06, + "loss": 0.9261, + "step": 31393 + }, + { + "epoch": 0.74, + "grad_norm": 1.6413590978258963, + "learning_rate": 3.350078202952345e-06, + "loss": 0.8367, + "step": 31394 + }, + { + "epoch": 0.74, + "grad_norm": 0.7352978840647768, + "learning_rate": 3.349508344851562e-06, + "loss": 0.6983, + "step": 31395 + }, + { + "epoch": 0.74, + "grad_norm": 1.579972537774891, + "learning_rate": 3.3489385254720507e-06, + "loss": 0.709, + "step": 31396 + }, + { + "epoch": 0.74, + "grad_norm": 1.5839576523807406, + "learning_rate": 3.348368744817121e-06, + "loss": 0.9049, + "step": 31397 + }, + { + "epoch": 0.74, + "grad_norm": 1.918763852988626, + "learning_rate": 3.3477990028900986e-06, + "loss": 0.9754, + "step": 31398 + }, + { + "epoch": 0.74, + "grad_norm": 1.5711324348951272, + "learning_rate": 3.347229299694292e-06, + "loss": 0.8393, + "step": 31399 + }, + { + "epoch": 0.74, + "grad_norm": 1.4333570852459936, + "learning_rate": 3.346659635233027e-06, + "loss": 0.8767, + "step": 31400 + }, + { + "epoch": 0.74, + "grad_norm": 1.9125305694903119, + "learning_rate": 3.346090009509613e-06, + "loss": 0.9374, + "step": 31401 + }, + { + "epoch": 0.74, + "grad_norm": 1.6523581621077534, + "learning_rate": 3.3455204225273718e-06, + "loss": 0.8483, + "step": 31402 + }, + { + "epoch": 0.74, + "grad_norm": 2.255687385769303, + "learning_rate": 3.3449508742896176e-06, + "loss": 0.7176, + "step": 31403 + }, + { + "epoch": 0.74, + "grad_norm": 1.7514125378409942, + "learning_rate": 3.3443813647996638e-06, + "loss": 0.8385, + "step": 31404 + }, + { + "epoch": 0.74, + "grad_norm": 1.7664226240173058, + "learning_rate": 3.343811894060829e-06, + "loss": 0.8759, + "step": 31405 + }, + { + "epoch": 0.74, + "grad_norm": 1.5089172382715728, + "learning_rate": 3.3432424620764304e-06, + "loss": 0.8542, + "step": 31406 + }, + { + "epoch": 0.74, + "grad_norm": 1.5508006312599911, + "learning_rate": 3.342673068849783e-06, + "loss": 0.9244, + "step": 31407 + }, + { + "epoch": 0.74, + "grad_norm": 1.835663252401099, + "learning_rate": 3.342103714384197e-06, + "loss": 0.8457, + "step": 31408 + }, + { + "epoch": 0.74, + "grad_norm": 0.7860572790871404, + "learning_rate": 3.3415343986829908e-06, + "loss": 0.6945, + "step": 31409 + }, + { + "epoch": 0.74, + "grad_norm": 1.6095874948672844, + "learning_rate": 3.340965121749483e-06, + "loss": 0.924, + "step": 31410 + }, + { + "epoch": 0.74, + "grad_norm": 1.6881071747944358, + "learning_rate": 3.3403958835869843e-06, + "loss": 0.8905, + "step": 31411 + }, + { + "epoch": 0.74, + "grad_norm": 1.706887794960307, + "learning_rate": 3.339826684198806e-06, + "loss": 0.8234, + "step": 31412 + }, + { + "epoch": 0.74, + "grad_norm": 0.7427949482767795, + "learning_rate": 3.3392575235882654e-06, + "loss": 0.7316, + "step": 31413 + }, + { + "epoch": 0.74, + "grad_norm": 1.601855224241939, + "learning_rate": 3.3386884017586794e-06, + "loss": 0.8622, + "step": 31414 + }, + { + "epoch": 0.74, + "grad_norm": 1.5515306589463218, + "learning_rate": 3.3381193187133587e-06, + "loss": 0.8072, + "step": 31415 + }, + { + "epoch": 0.74, + "grad_norm": 0.8174309134572674, + "learning_rate": 3.3375502744556134e-06, + "loss": 0.7661, + "step": 31416 + }, + { + "epoch": 0.74, + "grad_norm": 1.4290365753204555, + "learning_rate": 3.3369812689887617e-06, + "loss": 0.7273, + "step": 31417 + }, + { + "epoch": 0.74, + "grad_norm": 1.7203864810328726, + "learning_rate": 3.336412302316112e-06, + "loss": 0.9712, + "step": 31418 + }, + { + "epoch": 0.74, + "grad_norm": 1.5926872934122667, + "learning_rate": 3.3358433744409835e-06, + "loss": 0.8779, + "step": 31419 + }, + { + "epoch": 0.74, + "grad_norm": 1.6089274021954179, + "learning_rate": 3.3352744853666807e-06, + "loss": 0.8564, + "step": 31420 + }, + { + "epoch": 0.74, + "grad_norm": 0.8113602605163082, + "learning_rate": 3.3347056350965235e-06, + "loss": 0.7365, + "step": 31421 + }, + { + "epoch": 0.74, + "grad_norm": 1.9270323745880962, + "learning_rate": 3.334136823633817e-06, + "loss": 0.7721, + "step": 31422 + }, + { + "epoch": 0.74, + "grad_norm": 1.717518087606718, + "learning_rate": 3.333568050981879e-06, + "loss": 0.7661, + "step": 31423 + }, + { + "epoch": 0.74, + "grad_norm": 1.573879372712607, + "learning_rate": 3.332999317144019e-06, + "loss": 0.7965, + "step": 31424 + }, + { + "epoch": 0.74, + "grad_norm": 1.950316475398071, + "learning_rate": 3.3324306221235435e-06, + "loss": 0.783, + "step": 31425 + }, + { + "epoch": 0.74, + "grad_norm": 1.542352066321408, + "learning_rate": 3.3318619659237684e-06, + "loss": 0.7082, + "step": 31426 + }, + { + "epoch": 0.74, + "grad_norm": 1.7985950402056858, + "learning_rate": 3.331293348548007e-06, + "loss": 0.7686, + "step": 31427 + }, + { + "epoch": 0.74, + "grad_norm": 2.050150566718566, + "learning_rate": 3.330724769999568e-06, + "loss": 0.9089, + "step": 31428 + }, + { + "epoch": 0.74, + "grad_norm": 1.6655404046473936, + "learning_rate": 3.3301562302817568e-06, + "loss": 0.7843, + "step": 31429 + }, + { + "epoch": 0.74, + "grad_norm": 1.5352456030279276, + "learning_rate": 3.3295877293978875e-06, + "loss": 0.7705, + "step": 31430 + }, + { + "epoch": 0.74, + "grad_norm": 1.4989116078120224, + "learning_rate": 3.3290192673512747e-06, + "loss": 0.7781, + "step": 31431 + }, + { + "epoch": 0.74, + "grad_norm": 1.7497986364411686, + "learning_rate": 3.3284508441452225e-06, + "loss": 0.8403, + "step": 31432 + }, + { + "epoch": 0.74, + "grad_norm": 1.5171802111002106, + "learning_rate": 3.3278824597830383e-06, + "loss": 0.9113, + "step": 31433 + }, + { + "epoch": 0.74, + "grad_norm": 1.6741900500647036, + "learning_rate": 3.3273141142680356e-06, + "loss": 0.8704, + "step": 31434 + }, + { + "epoch": 0.74, + "grad_norm": 1.6975540981116337, + "learning_rate": 3.3267458076035255e-06, + "loss": 0.8038, + "step": 31435 + }, + { + "epoch": 0.74, + "grad_norm": 1.6091722861588675, + "learning_rate": 3.3261775397928143e-06, + "loss": 0.8805, + "step": 31436 + }, + { + "epoch": 0.74, + "grad_norm": 1.9025985518797683, + "learning_rate": 3.3256093108392064e-06, + "loss": 0.8736, + "step": 31437 + }, + { + "epoch": 0.74, + "grad_norm": 1.8278302551033299, + "learning_rate": 3.3250411207460188e-06, + "loss": 0.852, + "step": 31438 + }, + { + "epoch": 0.74, + "grad_norm": 1.4776526767972493, + "learning_rate": 3.32447296951655e-06, + "loss": 0.8696, + "step": 31439 + }, + { + "epoch": 0.74, + "grad_norm": 1.5326943243481561, + "learning_rate": 3.323904857154118e-06, + "loss": 0.8102, + "step": 31440 + }, + { + "epoch": 0.74, + "grad_norm": 0.8779657352048855, + "learning_rate": 3.323336783662021e-06, + "loss": 0.7295, + "step": 31441 + }, + { + "epoch": 0.74, + "grad_norm": 0.7990434528430697, + "learning_rate": 3.3227687490435746e-06, + "loss": 0.7054, + "step": 31442 + }, + { + "epoch": 0.74, + "grad_norm": 1.5482277969484632, + "learning_rate": 3.3222007533020793e-06, + "loss": 0.9044, + "step": 31443 + }, + { + "epoch": 0.74, + "grad_norm": 1.8707493711383096, + "learning_rate": 3.3216327964408456e-06, + "loss": 0.7829, + "step": 31444 + }, + { + "epoch": 0.74, + "grad_norm": 1.657385729007701, + "learning_rate": 3.321064878463187e-06, + "loss": 0.8929, + "step": 31445 + }, + { + "epoch": 0.74, + "grad_norm": 0.7566664453846401, + "learning_rate": 3.3204969993723955e-06, + "loss": 0.6819, + "step": 31446 + }, + { + "epoch": 0.74, + "grad_norm": 1.5785966552460018, + "learning_rate": 3.3199291591717865e-06, + "loss": 0.8934, + "step": 31447 + }, + { + "epoch": 0.74, + "grad_norm": 1.7954012123538212, + "learning_rate": 3.3193613578646633e-06, + "loss": 0.9258, + "step": 31448 + }, + { + "epoch": 0.74, + "grad_norm": 1.6303345906107571, + "learning_rate": 3.3187935954543417e-06, + "loss": 0.8519, + "step": 31449 + }, + { + "epoch": 0.74, + "grad_norm": 1.561098167808049, + "learning_rate": 3.3182258719441107e-06, + "loss": 0.9945, + "step": 31450 + }, + { + "epoch": 0.74, + "grad_norm": 2.2165589685564577, + "learning_rate": 3.3176581873372848e-06, + "loss": 0.8745, + "step": 31451 + }, + { + "epoch": 0.74, + "grad_norm": 1.4654238760109843, + "learning_rate": 3.3170905416371723e-06, + "loss": 0.8081, + "step": 31452 + }, + { + "epoch": 0.74, + "grad_norm": 1.6147960991458779, + "learning_rate": 3.316522934847074e-06, + "loss": 0.824, + "step": 31453 + }, + { + "epoch": 0.74, + "grad_norm": 1.717977305072124, + "learning_rate": 3.3159553669702917e-06, + "loss": 0.8081, + "step": 31454 + }, + { + "epoch": 0.74, + "grad_norm": 1.5621878059499321, + "learning_rate": 3.3153878380101332e-06, + "loss": 0.9051, + "step": 31455 + }, + { + "epoch": 0.74, + "grad_norm": 1.7280268110302472, + "learning_rate": 3.314820347969907e-06, + "loss": 0.8949, + "step": 31456 + }, + { + "epoch": 0.74, + "grad_norm": 1.5053775904682616, + "learning_rate": 3.3142528968529097e-06, + "loss": 0.7514, + "step": 31457 + }, + { + "epoch": 0.74, + "grad_norm": 1.895045229462465, + "learning_rate": 3.313685484662452e-06, + "loss": 0.7599, + "step": 31458 + }, + { + "epoch": 0.74, + "grad_norm": 1.91928901615495, + "learning_rate": 3.313118111401834e-06, + "loss": 0.7804, + "step": 31459 + }, + { + "epoch": 0.74, + "grad_norm": 1.6299395663118228, + "learning_rate": 3.312550777074356e-06, + "loss": 0.8773, + "step": 31460 + }, + { + "epoch": 0.74, + "grad_norm": 1.7114340654593048, + "learning_rate": 3.311983481683325e-06, + "loss": 0.884, + "step": 31461 + }, + { + "epoch": 0.74, + "grad_norm": 2.098533356825804, + "learning_rate": 3.311416225232047e-06, + "loss": 0.8856, + "step": 31462 + }, + { + "epoch": 0.74, + "grad_norm": 1.5335678787994265, + "learning_rate": 3.3108490077238207e-06, + "loss": 0.7649, + "step": 31463 + }, + { + "epoch": 0.74, + "grad_norm": 1.9159110579643586, + "learning_rate": 3.3102818291619467e-06, + "loss": 0.8851, + "step": 31464 + }, + { + "epoch": 0.74, + "grad_norm": 1.4724889177653602, + "learning_rate": 3.309714689549729e-06, + "loss": 0.73, + "step": 31465 + }, + { + "epoch": 0.74, + "grad_norm": 1.5678938286640853, + "learning_rate": 3.3091475888904777e-06, + "loss": 0.9386, + "step": 31466 + }, + { + "epoch": 0.74, + "grad_norm": 1.5805269022209916, + "learning_rate": 3.3085805271874803e-06, + "loss": 0.7708, + "step": 31467 + }, + { + "epoch": 0.74, + "grad_norm": 1.3813119388267794, + "learning_rate": 3.3080135044440454e-06, + "loss": 0.7749, + "step": 31468 + }, + { + "epoch": 0.74, + "grad_norm": 1.5906291370619674, + "learning_rate": 3.3074465206634755e-06, + "loss": 0.9011, + "step": 31469 + }, + { + "epoch": 0.74, + "grad_norm": 0.7949148931712188, + "learning_rate": 3.3068795758490736e-06, + "loss": 0.6913, + "step": 31470 + }, + { + "epoch": 0.74, + "grad_norm": 1.5695554376736793, + "learning_rate": 3.306312670004137e-06, + "loss": 0.8562, + "step": 31471 + }, + { + "epoch": 0.74, + "grad_norm": 1.485242174426283, + "learning_rate": 3.3057458031319654e-06, + "loss": 0.8314, + "step": 31472 + }, + { + "epoch": 0.74, + "grad_norm": 2.1059894413889735, + "learning_rate": 3.30517897523586e-06, + "loss": 0.7492, + "step": 31473 + }, + { + "epoch": 0.74, + "grad_norm": 2.2504281524605063, + "learning_rate": 3.304612186319126e-06, + "loss": 0.7747, + "step": 31474 + }, + { + "epoch": 0.74, + "grad_norm": 2.236861978552538, + "learning_rate": 3.304045436385059e-06, + "loss": 0.7178, + "step": 31475 + }, + { + "epoch": 0.74, + "grad_norm": 1.639652496610335, + "learning_rate": 3.303478725436956e-06, + "loss": 0.8441, + "step": 31476 + }, + { + "epoch": 0.74, + "grad_norm": 1.539847715054025, + "learning_rate": 3.3029120534781244e-06, + "loss": 0.8, + "step": 31477 + }, + { + "epoch": 0.74, + "grad_norm": 1.6143410425255205, + "learning_rate": 3.3023454205118545e-06, + "loss": 0.825, + "step": 31478 + }, + { + "epoch": 0.74, + "grad_norm": 0.7957466347856023, + "learning_rate": 3.301778826541454e-06, + "loss": 0.7788, + "step": 31479 + }, + { + "epoch": 0.74, + "grad_norm": 1.4363087993412773, + "learning_rate": 3.3012122715702145e-06, + "loss": 0.7862, + "step": 31480 + }, + { + "epoch": 0.74, + "grad_norm": 1.6563983762527197, + "learning_rate": 3.3006457556014415e-06, + "loss": 0.9955, + "step": 31481 + }, + { + "epoch": 0.74, + "grad_norm": 1.5363398872079688, + "learning_rate": 3.300079278638426e-06, + "loss": 0.8887, + "step": 31482 + }, + { + "epoch": 0.74, + "grad_norm": 1.5302725951419756, + "learning_rate": 3.2995128406844733e-06, + "loss": 0.7523, + "step": 31483 + }, + { + "epoch": 0.74, + "grad_norm": 1.7524620378387306, + "learning_rate": 3.2989464417428785e-06, + "loss": 0.7167, + "step": 31484 + }, + { + "epoch": 0.74, + "grad_norm": 1.6727479810172445, + "learning_rate": 3.2983800818169363e-06, + "loss": 0.8914, + "step": 31485 + }, + { + "epoch": 0.74, + "grad_norm": 1.5780676130357016, + "learning_rate": 3.297813760909946e-06, + "loss": 0.7272, + "step": 31486 + }, + { + "epoch": 0.74, + "grad_norm": 1.7632856485895223, + "learning_rate": 3.2972474790252097e-06, + "loss": 0.9602, + "step": 31487 + }, + { + "epoch": 0.74, + "grad_norm": 1.9018352859439815, + "learning_rate": 3.2966812361660204e-06, + "loss": 0.8736, + "step": 31488 + }, + { + "epoch": 0.74, + "grad_norm": 1.6610382632116545, + "learning_rate": 3.2961150323356715e-06, + "loss": 0.7721, + "step": 31489 + }, + { + "epoch": 0.74, + "grad_norm": 1.7579564506809282, + "learning_rate": 3.2955488675374635e-06, + "loss": 0.7426, + "step": 31490 + }, + { + "epoch": 0.74, + "grad_norm": 1.5593122589857775, + "learning_rate": 3.294982741774697e-06, + "loss": 0.8686, + "step": 31491 + }, + { + "epoch": 0.74, + "grad_norm": 0.8197546883856422, + "learning_rate": 3.294416655050663e-06, + "loss": 0.7052, + "step": 31492 + }, + { + "epoch": 0.74, + "grad_norm": 1.449698054690433, + "learning_rate": 3.293850607368655e-06, + "loss": 0.7786, + "step": 31493 + }, + { + "epoch": 0.74, + "grad_norm": 1.6161558185424303, + "learning_rate": 3.2932845987319704e-06, + "loss": 0.8344, + "step": 31494 + }, + { + "epoch": 0.74, + "grad_norm": 1.5977779819653706, + "learning_rate": 3.2927186291439117e-06, + "loss": 0.8768, + "step": 31495 + }, + { + "epoch": 0.74, + "grad_norm": 1.6938680947810332, + "learning_rate": 3.292152698607768e-06, + "loss": 0.7426, + "step": 31496 + }, + { + "epoch": 0.74, + "grad_norm": 1.4509111382929611, + "learning_rate": 3.291586807126831e-06, + "loss": 0.9104, + "step": 31497 + }, + { + "epoch": 0.74, + "grad_norm": 1.5137823257218745, + "learning_rate": 3.2910209547044027e-06, + "loss": 0.8138, + "step": 31498 + }, + { + "epoch": 0.74, + "grad_norm": 1.7337887735507316, + "learning_rate": 3.290455141343771e-06, + "loss": 0.8347, + "step": 31499 + }, + { + "epoch": 0.74, + "grad_norm": 1.6964680834791543, + "learning_rate": 3.289889367048238e-06, + "loss": 0.8589, + "step": 31500 + }, + { + "epoch": 0.74, + "grad_norm": 1.508663115213615, + "learning_rate": 3.28932363182109e-06, + "loss": 0.8342, + "step": 31501 + }, + { + "epoch": 0.74, + "grad_norm": 1.4648015389321118, + "learning_rate": 3.2887579356656274e-06, + "loss": 0.822, + "step": 31502 + }, + { + "epoch": 0.74, + "grad_norm": 1.5758927539367842, + "learning_rate": 3.2881922785851374e-06, + "loss": 0.7941, + "step": 31503 + }, + { + "epoch": 0.74, + "grad_norm": 1.9020175826946952, + "learning_rate": 3.28762666058292e-06, + "loss": 0.7849, + "step": 31504 + }, + { + "epoch": 0.74, + "grad_norm": 2.011074986650604, + "learning_rate": 3.2870610816622663e-06, + "loss": 0.7919, + "step": 31505 + }, + { + "epoch": 0.74, + "grad_norm": 2.4596375679101072, + "learning_rate": 3.286495541826463e-06, + "loss": 0.8089, + "step": 31506 + }, + { + "epoch": 0.74, + "grad_norm": 1.7706099696947948, + "learning_rate": 3.28593004107881e-06, + "loss": 0.9135, + "step": 31507 + }, + { + "epoch": 0.74, + "grad_norm": 1.6157925412836973, + "learning_rate": 3.2853645794226007e-06, + "loss": 0.7483, + "step": 31508 + }, + { + "epoch": 0.74, + "grad_norm": 1.6201023067314941, + "learning_rate": 3.284799156861125e-06, + "loss": 0.6765, + "step": 31509 + }, + { + "epoch": 0.74, + "grad_norm": 1.8828239298824512, + "learning_rate": 3.2842337733976704e-06, + "loss": 0.8533, + "step": 31510 + }, + { + "epoch": 0.74, + "grad_norm": 1.4621233796246598, + "learning_rate": 3.2836684290355336e-06, + "loss": 0.7755, + "step": 31511 + }, + { + "epoch": 0.74, + "grad_norm": 1.7378828017481698, + "learning_rate": 3.2831031237780086e-06, + "loss": 0.8997, + "step": 31512 + }, + { + "epoch": 0.74, + "grad_norm": 1.6159418223808761, + "learning_rate": 3.2825378576283827e-06, + "loss": 0.7808, + "step": 31513 + }, + { + "epoch": 0.74, + "grad_norm": 1.7554440338455533, + "learning_rate": 3.2819726305899467e-06, + "loss": 0.8242, + "step": 31514 + }, + { + "epoch": 0.74, + "grad_norm": 1.6059353036967774, + "learning_rate": 3.2814074426659925e-06, + "loss": 0.7984, + "step": 31515 + }, + { + "epoch": 0.74, + "grad_norm": 1.727532557916094, + "learning_rate": 3.280842293859814e-06, + "loss": 0.9015, + "step": 31516 + }, + { + "epoch": 0.74, + "grad_norm": 3.3454845248699683, + "learning_rate": 3.2802771841746984e-06, + "loss": 0.8387, + "step": 31517 + }, + { + "epoch": 0.74, + "grad_norm": 1.6745967214547648, + "learning_rate": 3.2797121136139345e-06, + "loss": 0.863, + "step": 31518 + }, + { + "epoch": 0.74, + "grad_norm": 1.9571080295227459, + "learning_rate": 3.279147082180817e-06, + "loss": 0.8723, + "step": 31519 + }, + { + "epoch": 0.74, + "grad_norm": 1.7063158094882267, + "learning_rate": 3.278582089878629e-06, + "loss": 0.7871, + "step": 31520 + }, + { + "epoch": 0.74, + "grad_norm": 1.7786322736867581, + "learning_rate": 3.2780171367106684e-06, + "loss": 0.764, + "step": 31521 + }, + { + "epoch": 0.74, + "grad_norm": 0.8236669115647681, + "learning_rate": 3.2774522226802162e-06, + "loss": 0.7499, + "step": 31522 + }, + { + "epoch": 0.74, + "grad_norm": 0.7982430778925587, + "learning_rate": 3.2768873477905696e-06, + "loss": 0.6817, + "step": 31523 + }, + { + "epoch": 0.74, + "grad_norm": 1.6069191116939823, + "learning_rate": 3.2763225120450094e-06, + "loss": 0.924, + "step": 31524 + }, + { + "epoch": 0.74, + "grad_norm": 1.5180986000279535, + "learning_rate": 3.275757715446831e-06, + "loss": 0.6659, + "step": 31525 + }, + { + "epoch": 0.74, + "grad_norm": 1.935823134737256, + "learning_rate": 3.2751929579993203e-06, + "loss": 0.8432, + "step": 31526 + }, + { + "epoch": 0.74, + "grad_norm": 1.6208775451552258, + "learning_rate": 3.2746282397057627e-06, + "loss": 0.7869, + "step": 31527 + }, + { + "epoch": 0.74, + "grad_norm": 1.5320497066038576, + "learning_rate": 3.274063560569448e-06, + "loss": 0.8908, + "step": 31528 + }, + { + "epoch": 0.74, + "grad_norm": 1.8716141237452788, + "learning_rate": 3.2734989205936684e-06, + "loss": 0.8761, + "step": 31529 + }, + { + "epoch": 0.74, + "grad_norm": 1.6117738820634284, + "learning_rate": 3.2729343197817078e-06, + "loss": 0.8007, + "step": 31530 + }, + { + "epoch": 0.74, + "grad_norm": 1.820780350920104, + "learning_rate": 3.2723697581368496e-06, + "loss": 0.9147, + "step": 31531 + }, + { + "epoch": 0.74, + "grad_norm": 1.825234190658563, + "learning_rate": 3.271805235662384e-06, + "loss": 0.8155, + "step": 31532 + }, + { + "epoch": 0.74, + "grad_norm": 1.8378213488927482, + "learning_rate": 3.271240752361603e-06, + "loss": 0.7423, + "step": 31533 + }, + { + "epoch": 0.74, + "grad_norm": 0.8287031348760132, + "learning_rate": 3.270676308237788e-06, + "loss": 0.7283, + "step": 31534 + }, + { + "epoch": 0.74, + "grad_norm": 1.6317605899249463, + "learning_rate": 3.270111903294222e-06, + "loss": 0.7068, + "step": 31535 + }, + { + "epoch": 0.74, + "grad_norm": 2.2780741517167664, + "learning_rate": 3.2695475375341967e-06, + "loss": 0.785, + "step": 31536 + }, + { + "epoch": 0.74, + "grad_norm": 1.5207196777237746, + "learning_rate": 3.2689832109609985e-06, + "loss": 0.8075, + "step": 31537 + }, + { + "epoch": 0.74, + "grad_norm": 1.7199880071504619, + "learning_rate": 3.268418923577912e-06, + "loss": 0.8087, + "step": 31538 + }, + { + "epoch": 0.74, + "grad_norm": 1.6191158612736563, + "learning_rate": 3.2678546753882177e-06, + "loss": 0.9533, + "step": 31539 + }, + { + "epoch": 0.74, + "grad_norm": 1.6899609225682946, + "learning_rate": 3.2672904663952078e-06, + "loss": 0.8555, + "step": 31540 + }, + { + "epoch": 0.74, + "grad_norm": 0.7427650147799196, + "learning_rate": 3.2667262966021617e-06, + "loss": 0.6923, + "step": 31541 + }, + { + "epoch": 0.74, + "grad_norm": 1.7118013041223343, + "learning_rate": 3.2661621660123666e-06, + "loss": 0.8218, + "step": 31542 + }, + { + "epoch": 0.74, + "grad_norm": 0.7489040261037209, + "learning_rate": 3.2655980746291114e-06, + "loss": 0.7489, + "step": 31543 + }, + { + "epoch": 0.74, + "grad_norm": 2.0035882806719574, + "learning_rate": 3.2650340224556754e-06, + "loss": 0.822, + "step": 31544 + }, + { + "epoch": 0.74, + "grad_norm": 1.5869035158357079, + "learning_rate": 3.264470009495341e-06, + "loss": 0.714, + "step": 31545 + }, + { + "epoch": 0.74, + "grad_norm": 1.9840175164717928, + "learning_rate": 3.263906035751393e-06, + "loss": 0.7593, + "step": 31546 + }, + { + "epoch": 0.74, + "grad_norm": 1.5108711358367115, + "learning_rate": 3.263342101227125e-06, + "loss": 0.7308, + "step": 31547 + }, + { + "epoch": 0.74, + "grad_norm": 1.9232502195489916, + "learning_rate": 3.2627782059258053e-06, + "loss": 0.7584, + "step": 31548 + }, + { + "epoch": 0.74, + "grad_norm": 2.4581475659791585, + "learning_rate": 3.262214349850723e-06, + "loss": 0.7706, + "step": 31549 + }, + { + "epoch": 0.74, + "grad_norm": 1.4926195655242664, + "learning_rate": 3.261650533005162e-06, + "loss": 0.7509, + "step": 31550 + }, + { + "epoch": 0.74, + "grad_norm": 2.5910996492910967, + "learning_rate": 3.261086755392412e-06, + "loss": 0.8197, + "step": 31551 + }, + { + "epoch": 0.74, + "grad_norm": 2.22102719469024, + "learning_rate": 3.2605230170157407e-06, + "loss": 0.8945, + "step": 31552 + }, + { + "epoch": 0.74, + "grad_norm": 1.4687857410306562, + "learning_rate": 3.2599593178784395e-06, + "loss": 0.8401, + "step": 31553 + }, + { + "epoch": 0.74, + "grad_norm": 1.493714782080714, + "learning_rate": 3.2593956579837914e-06, + "loss": 0.9034, + "step": 31554 + }, + { + "epoch": 0.74, + "grad_norm": 1.5486096440606556, + "learning_rate": 3.2588320373350736e-06, + "loss": 0.8739, + "step": 31555 + }, + { + "epoch": 0.74, + "grad_norm": 1.4902653829197137, + "learning_rate": 3.2582684559355727e-06, + "loss": 0.9311, + "step": 31556 + }, + { + "epoch": 0.74, + "grad_norm": 1.4169035697723722, + "learning_rate": 3.257704913788564e-06, + "loss": 0.8915, + "step": 31557 + }, + { + "epoch": 0.74, + "grad_norm": 1.5169540155276044, + "learning_rate": 3.257141410897334e-06, + "loss": 0.8902, + "step": 31558 + }, + { + "epoch": 0.74, + "grad_norm": 1.5841324454563204, + "learning_rate": 3.2565779472651595e-06, + "loss": 0.8763, + "step": 31559 + }, + { + "epoch": 0.74, + "grad_norm": 1.5153509497245174, + "learning_rate": 3.2560145228953267e-06, + "loss": 0.7421, + "step": 31560 + }, + { + "epoch": 0.74, + "grad_norm": 1.7579783240390259, + "learning_rate": 3.2554511377911115e-06, + "loss": 0.9223, + "step": 31561 + }, + { + "epoch": 0.74, + "grad_norm": 0.7763793721307518, + "learning_rate": 3.254887791955792e-06, + "loss": 0.7605, + "step": 31562 + }, + { + "epoch": 0.74, + "grad_norm": 1.5572120403238885, + "learning_rate": 3.2543244853926515e-06, + "loss": 0.8907, + "step": 31563 + }, + { + "epoch": 0.74, + "grad_norm": 2.06316289384257, + "learning_rate": 3.2537612181049726e-06, + "loss": 0.8112, + "step": 31564 + }, + { + "epoch": 0.74, + "grad_norm": 1.53162190217052, + "learning_rate": 3.253197990096031e-06, + "loss": 0.9343, + "step": 31565 + }, + { + "epoch": 0.74, + "grad_norm": 1.6473239700488995, + "learning_rate": 3.2526348013691043e-06, + "loss": 0.8665, + "step": 31566 + }, + { + "epoch": 0.74, + "grad_norm": 1.5796008682676954, + "learning_rate": 3.2520716519274743e-06, + "loss": 0.7563, + "step": 31567 + }, + { + "epoch": 0.74, + "grad_norm": 1.5732972100421163, + "learning_rate": 3.251508541774422e-06, + "loss": 0.8768, + "step": 31568 + }, + { + "epoch": 0.74, + "grad_norm": 1.7852419609540655, + "learning_rate": 3.250945470913224e-06, + "loss": 0.7055, + "step": 31569 + }, + { + "epoch": 0.74, + "grad_norm": 1.7783853652465678, + "learning_rate": 3.250382439347154e-06, + "loss": 0.7758, + "step": 31570 + }, + { + "epoch": 0.74, + "grad_norm": 1.4632405709145304, + "learning_rate": 3.2498194470794954e-06, + "loss": 0.8164, + "step": 31571 + }, + { + "epoch": 0.74, + "grad_norm": 1.4963756941964812, + "learning_rate": 3.2492564941135273e-06, + "loss": 0.8179, + "step": 31572 + }, + { + "epoch": 0.74, + "grad_norm": 1.553917123165472, + "learning_rate": 3.2486935804525264e-06, + "loss": 0.6973, + "step": 31573 + }, + { + "epoch": 0.74, + "grad_norm": 1.612144547463062, + "learning_rate": 3.2481307060997645e-06, + "loss": 0.8974, + "step": 31574 + }, + { + "epoch": 0.74, + "grad_norm": 1.474602489581675, + "learning_rate": 3.2475678710585267e-06, + "loss": 0.7244, + "step": 31575 + }, + { + "epoch": 0.74, + "grad_norm": 1.6879345858698316, + "learning_rate": 3.247005075332084e-06, + "loss": 0.9493, + "step": 31576 + }, + { + "epoch": 0.74, + "grad_norm": 1.8867370613557872, + "learning_rate": 3.246442318923718e-06, + "loss": 0.9508, + "step": 31577 + }, + { + "epoch": 0.74, + "grad_norm": 1.56123963239272, + "learning_rate": 3.245879601836701e-06, + "loss": 0.8361, + "step": 31578 + }, + { + "epoch": 0.74, + "grad_norm": 1.4623961382067148, + "learning_rate": 3.2453169240743132e-06, + "loss": 0.7891, + "step": 31579 + }, + { + "epoch": 0.74, + "grad_norm": 1.556109338769261, + "learning_rate": 3.244754285639826e-06, + "loss": 0.8732, + "step": 31580 + }, + { + "epoch": 0.74, + "grad_norm": 1.639653295786103, + "learning_rate": 3.244191686536522e-06, + "loss": 0.8679, + "step": 31581 + }, + { + "epoch": 0.74, + "grad_norm": 1.7104214672284261, + "learning_rate": 3.2436291267676725e-06, + "loss": 0.749, + "step": 31582 + }, + { + "epoch": 0.74, + "grad_norm": 1.4620767767329639, + "learning_rate": 3.243066606336549e-06, + "loss": 0.879, + "step": 31583 + }, + { + "epoch": 0.74, + "grad_norm": 1.458904742597276, + "learning_rate": 3.242504125246432e-06, + "loss": 0.7547, + "step": 31584 + }, + { + "epoch": 0.74, + "grad_norm": 1.643236046127952, + "learning_rate": 3.241941683500598e-06, + "loss": 0.7426, + "step": 31585 + }, + { + "epoch": 0.74, + "grad_norm": 1.6551109489509843, + "learning_rate": 3.241379281102319e-06, + "loss": 0.919, + "step": 31586 + }, + { + "epoch": 0.74, + "grad_norm": 1.7284952658529174, + "learning_rate": 3.2408169180548675e-06, + "loss": 0.8099, + "step": 31587 + }, + { + "epoch": 0.74, + "grad_norm": 0.7423634677549471, + "learning_rate": 3.2402545943615195e-06, + "loss": 0.7284, + "step": 31588 + }, + { + "epoch": 0.74, + "grad_norm": 1.5520757521782143, + "learning_rate": 3.2396923100255515e-06, + "loss": 0.8495, + "step": 31589 + }, + { + "epoch": 0.74, + "grad_norm": 1.609696487442035, + "learning_rate": 3.2391300650502356e-06, + "loss": 0.8116, + "step": 31590 + }, + { + "epoch": 0.74, + "grad_norm": 1.7630601493152889, + "learning_rate": 3.2385678594388416e-06, + "loss": 0.9006, + "step": 31591 + }, + { + "epoch": 0.74, + "grad_norm": 1.579591083894623, + "learning_rate": 3.238005693194647e-06, + "loss": 0.8032, + "step": 31592 + }, + { + "epoch": 0.74, + "grad_norm": 1.5430783366229532, + "learning_rate": 3.2374435663209268e-06, + "loss": 0.8456, + "step": 31593 + }, + { + "epoch": 0.74, + "grad_norm": 1.5664499242858394, + "learning_rate": 3.23688147882095e-06, + "loss": 0.9078, + "step": 31594 + }, + { + "epoch": 0.74, + "grad_norm": 1.5665134254064916, + "learning_rate": 3.2363194306979884e-06, + "loss": 0.9003, + "step": 31595 + }, + { + "epoch": 0.74, + "grad_norm": 0.7811104407679842, + "learning_rate": 3.235757421955317e-06, + "loss": 0.6945, + "step": 31596 + }, + { + "epoch": 0.74, + "grad_norm": 1.5846135483862511, + "learning_rate": 3.235195452596209e-06, + "loss": 0.8092, + "step": 31597 + }, + { + "epoch": 0.74, + "grad_norm": 1.4349357881832145, + "learning_rate": 3.2346335226239357e-06, + "loss": 0.796, + "step": 31598 + }, + { + "epoch": 0.74, + "grad_norm": 1.8952830599544148, + "learning_rate": 3.234071632041765e-06, + "loss": 0.8746, + "step": 31599 + }, + { + "epoch": 0.74, + "grad_norm": 1.4397341372916155, + "learning_rate": 3.2335097808529736e-06, + "loss": 0.7578, + "step": 31600 + }, + { + "epoch": 0.74, + "grad_norm": 1.599878006606787, + "learning_rate": 3.232947969060828e-06, + "loss": 0.9062, + "step": 31601 + }, + { + "epoch": 0.74, + "grad_norm": 1.770015242538518, + "learning_rate": 3.2323861966686055e-06, + "loss": 1.0486, + "step": 31602 + }, + { + "epoch": 0.74, + "grad_norm": 1.8644690048972425, + "learning_rate": 3.231824463679569e-06, + "loss": 0.8112, + "step": 31603 + }, + { + "epoch": 0.74, + "grad_norm": 1.491992235612082, + "learning_rate": 3.231262770096997e-06, + "loss": 0.8933, + "step": 31604 + }, + { + "epoch": 0.74, + "grad_norm": 1.5623669446791044, + "learning_rate": 3.230701115924152e-06, + "loss": 0.8021, + "step": 31605 + }, + { + "epoch": 0.74, + "grad_norm": 1.5032198286150735, + "learning_rate": 3.2301395011643124e-06, + "loss": 0.7347, + "step": 31606 + }, + { + "epoch": 0.74, + "grad_norm": 1.574850370680992, + "learning_rate": 3.2295779258207426e-06, + "loss": 0.8487, + "step": 31607 + }, + { + "epoch": 0.74, + "grad_norm": 1.4238978652029033, + "learning_rate": 3.229016389896712e-06, + "loss": 0.7366, + "step": 31608 + }, + { + "epoch": 0.74, + "grad_norm": 0.7762551199616028, + "learning_rate": 3.2284548933954905e-06, + "loss": 0.6184, + "step": 31609 + }, + { + "epoch": 0.74, + "grad_norm": 2.7282584354762767, + "learning_rate": 3.227893436320353e-06, + "loss": 0.9228, + "step": 31610 + }, + { + "epoch": 0.74, + "grad_norm": 1.8827641105313742, + "learning_rate": 3.2273320186745625e-06, + "loss": 0.7614, + "step": 31611 + }, + { + "epoch": 0.74, + "grad_norm": 1.4446625268158109, + "learning_rate": 3.2267706404613864e-06, + "loss": 0.7165, + "step": 31612 + }, + { + "epoch": 0.74, + "grad_norm": 1.4207312626090363, + "learning_rate": 3.2262093016840955e-06, + "loss": 0.7463, + "step": 31613 + }, + { + "epoch": 0.74, + "grad_norm": 0.8014176602350489, + "learning_rate": 3.2256480023459633e-06, + "loss": 0.6737, + "step": 31614 + }, + { + "epoch": 0.74, + "grad_norm": 1.4885415667508495, + "learning_rate": 3.225086742450252e-06, + "loss": 0.889, + "step": 31615 + }, + { + "epoch": 0.74, + "grad_norm": 1.9510422091696318, + "learning_rate": 3.224525522000228e-06, + "loss": 0.7452, + "step": 31616 + }, + { + "epoch": 0.74, + "grad_norm": 1.689057390013291, + "learning_rate": 3.2239643409991607e-06, + "loss": 0.7151, + "step": 31617 + }, + { + "epoch": 0.74, + "grad_norm": 1.562007510757025, + "learning_rate": 3.2234031994503223e-06, + "loss": 0.766, + "step": 31618 + }, + { + "epoch": 0.74, + "grad_norm": 1.4711719094276563, + "learning_rate": 3.2228420973569753e-06, + "loss": 0.7956, + "step": 31619 + }, + { + "epoch": 0.74, + "grad_norm": 1.6548053517949624, + "learning_rate": 3.2222810347223845e-06, + "loss": 0.8173, + "step": 31620 + }, + { + "epoch": 0.74, + "grad_norm": 2.0401264398681636, + "learning_rate": 3.2217200115498216e-06, + "loss": 0.7986, + "step": 31621 + }, + { + "epoch": 0.74, + "grad_norm": 1.6602730463820805, + "learning_rate": 3.2211590278425486e-06, + "loss": 0.8347, + "step": 31622 + }, + { + "epoch": 0.75, + "grad_norm": 1.521115049292104, + "learning_rate": 3.2205980836038363e-06, + "loss": 0.8555, + "step": 31623 + }, + { + "epoch": 0.75, + "grad_norm": 1.9424277833692358, + "learning_rate": 3.2200371788369457e-06, + "loss": 0.912, + "step": 31624 + }, + { + "epoch": 0.75, + "grad_norm": 0.8070444094846567, + "learning_rate": 3.219476313545148e-06, + "loss": 0.7231, + "step": 31625 + }, + { + "epoch": 0.75, + "grad_norm": 1.6535799879954896, + "learning_rate": 3.2189154877317032e-06, + "loss": 0.7005, + "step": 31626 + }, + { + "epoch": 0.75, + "grad_norm": 1.5809575102402018, + "learning_rate": 3.2183547013998816e-06, + "loss": 0.806, + "step": 31627 + }, + { + "epoch": 0.75, + "grad_norm": 1.809772943051283, + "learning_rate": 3.217793954552946e-06, + "loss": 0.6572, + "step": 31628 + }, + { + "epoch": 0.75, + "grad_norm": 1.535558269591766, + "learning_rate": 3.217233247194158e-06, + "loss": 0.7925, + "step": 31629 + }, + { + "epoch": 0.75, + "grad_norm": 0.8040909193723622, + "learning_rate": 3.216672579326786e-06, + "loss": 0.7028, + "step": 31630 + }, + { + "epoch": 0.75, + "grad_norm": 0.7623973930761169, + "learning_rate": 3.216111950954094e-06, + "loss": 0.7246, + "step": 31631 + }, + { + "epoch": 0.75, + "grad_norm": 1.5778938830145264, + "learning_rate": 3.2155513620793523e-06, + "loss": 0.8419, + "step": 31632 + }, + { + "epoch": 0.75, + "grad_norm": 1.738119816399671, + "learning_rate": 3.2149908127058116e-06, + "loss": 0.852, + "step": 31633 + }, + { + "epoch": 0.75, + "grad_norm": 1.5211857578344514, + "learning_rate": 3.214430302836743e-06, + "loss": 0.7725, + "step": 31634 + }, + { + "epoch": 0.75, + "grad_norm": 1.639890325871838, + "learning_rate": 3.2138698324754126e-06, + "loss": 0.9731, + "step": 31635 + }, + { + "epoch": 0.75, + "grad_norm": 1.7552681233992942, + "learning_rate": 3.2133094016250797e-06, + "loss": 0.8666, + "step": 31636 + }, + { + "epoch": 0.75, + "grad_norm": 1.893029816070089, + "learning_rate": 3.212749010289006e-06, + "loss": 0.8681, + "step": 31637 + }, + { + "epoch": 0.75, + "grad_norm": 1.3813974038473928, + "learning_rate": 3.2121886584704553e-06, + "loss": 0.8976, + "step": 31638 + }, + { + "epoch": 0.75, + "grad_norm": 1.637011778469138, + "learning_rate": 3.2116283461726948e-06, + "loss": 0.9076, + "step": 31639 + }, + { + "epoch": 0.75, + "grad_norm": 1.6115115610743675, + "learning_rate": 3.21106807339898e-06, + "loss": 0.8281, + "step": 31640 + }, + { + "epoch": 0.75, + "grad_norm": 2.3701700512203403, + "learning_rate": 3.210507840152579e-06, + "loss": 0.8469, + "step": 31641 + }, + { + "epoch": 0.75, + "grad_norm": 1.6750651676409365, + "learning_rate": 3.209947646436752e-06, + "loss": 0.7568, + "step": 31642 + }, + { + "epoch": 0.75, + "grad_norm": 1.571855155197024, + "learning_rate": 3.2093874922547563e-06, + "loss": 0.8377, + "step": 31643 + }, + { + "epoch": 0.75, + "grad_norm": 1.529084935714119, + "learning_rate": 3.2088273776098554e-06, + "loss": 0.7644, + "step": 31644 + }, + { + "epoch": 0.75, + "grad_norm": 1.61210874467462, + "learning_rate": 3.2082673025053157e-06, + "loss": 0.8081, + "step": 31645 + }, + { + "epoch": 0.75, + "grad_norm": 1.4570741222072332, + "learning_rate": 3.207707266944393e-06, + "loss": 0.8894, + "step": 31646 + }, + { + "epoch": 0.75, + "grad_norm": 1.9497281123121948, + "learning_rate": 3.2071472709303466e-06, + "loss": 0.8363, + "step": 31647 + }, + { + "epoch": 0.75, + "grad_norm": 1.9681100603259878, + "learning_rate": 3.2065873144664393e-06, + "loss": 0.7864, + "step": 31648 + }, + { + "epoch": 0.75, + "grad_norm": 1.467429720105088, + "learning_rate": 3.2060273975559374e-06, + "loss": 0.7238, + "step": 31649 + }, + { + "epoch": 0.75, + "grad_norm": 1.664062406115686, + "learning_rate": 3.205467520202089e-06, + "loss": 0.7357, + "step": 31650 + }, + { + "epoch": 0.75, + "grad_norm": 1.6047062408546513, + "learning_rate": 3.2049076824081595e-06, + "loss": 0.7401, + "step": 31651 + }, + { + "epoch": 0.75, + "grad_norm": 1.5677768638455363, + "learning_rate": 3.204347884177409e-06, + "loss": 0.786, + "step": 31652 + }, + { + "epoch": 0.75, + "grad_norm": 2.120587462224276, + "learning_rate": 3.203788125513099e-06, + "loss": 0.8607, + "step": 31653 + }, + { + "epoch": 0.75, + "grad_norm": 1.5902098378573584, + "learning_rate": 3.2032284064184872e-06, + "loss": 0.8083, + "step": 31654 + }, + { + "epoch": 0.75, + "grad_norm": 1.5284293040284278, + "learning_rate": 3.202668726896828e-06, + "loss": 0.7784, + "step": 31655 + }, + { + "epoch": 0.75, + "grad_norm": 1.5550290496629053, + "learning_rate": 3.202109086951386e-06, + "loss": 0.8241, + "step": 31656 + }, + { + "epoch": 0.75, + "grad_norm": 1.5603634966158615, + "learning_rate": 3.2015494865854144e-06, + "loss": 0.9854, + "step": 31657 + }, + { + "epoch": 0.75, + "grad_norm": 1.7908883824220783, + "learning_rate": 3.200989925802177e-06, + "loss": 0.882, + "step": 31658 + }, + { + "epoch": 0.75, + "grad_norm": 1.7112936368002607, + "learning_rate": 3.200430404604926e-06, + "loss": 0.7783, + "step": 31659 + }, + { + "epoch": 0.75, + "grad_norm": 1.5967730115928032, + "learning_rate": 3.199870922996925e-06, + "loss": 0.8876, + "step": 31660 + }, + { + "epoch": 0.75, + "grad_norm": 1.9734370289592547, + "learning_rate": 3.199311480981425e-06, + "loss": 0.822, + "step": 31661 + }, + { + "epoch": 0.75, + "grad_norm": 1.5168346991831363, + "learning_rate": 3.1987520785616898e-06, + "loss": 0.7903, + "step": 31662 + }, + { + "epoch": 0.75, + "grad_norm": 1.5998647660826628, + "learning_rate": 3.198192715740973e-06, + "loss": 0.9166, + "step": 31663 + }, + { + "epoch": 0.75, + "grad_norm": 2.0755160066540217, + "learning_rate": 3.197633392522529e-06, + "loss": 0.7752, + "step": 31664 + }, + { + "epoch": 0.75, + "grad_norm": 1.9252211138813657, + "learning_rate": 3.1970741089096168e-06, + "loss": 0.8076, + "step": 31665 + }, + { + "epoch": 0.75, + "grad_norm": 1.7717550963539026, + "learning_rate": 3.196514864905497e-06, + "loss": 0.9708, + "step": 31666 + }, + { + "epoch": 0.75, + "grad_norm": 1.5355525890627097, + "learning_rate": 3.19595566051342e-06, + "loss": 0.8042, + "step": 31667 + }, + { + "epoch": 0.75, + "grad_norm": 1.8926959729078348, + "learning_rate": 3.1953964957366413e-06, + "loss": 0.8396, + "step": 31668 + }, + { + "epoch": 0.75, + "grad_norm": 1.7791486484312709, + "learning_rate": 3.1948373705784173e-06, + "loss": 0.7617, + "step": 31669 + }, + { + "epoch": 0.75, + "grad_norm": 1.8518342722991934, + "learning_rate": 3.1942782850420086e-06, + "loss": 0.7503, + "step": 31670 + }, + { + "epoch": 0.75, + "grad_norm": 1.5614296552928648, + "learning_rate": 3.193719239130666e-06, + "loss": 0.9199, + "step": 31671 + }, + { + "epoch": 0.75, + "grad_norm": 1.6715919331975038, + "learning_rate": 3.193160232847642e-06, + "loss": 0.8322, + "step": 31672 + }, + { + "epoch": 0.75, + "grad_norm": 0.7700367364468585, + "learning_rate": 3.1926012661961935e-06, + "loss": 0.7112, + "step": 31673 + }, + { + "epoch": 0.75, + "grad_norm": 1.5517855877908222, + "learning_rate": 3.1920423391795795e-06, + "loss": 0.802, + "step": 31674 + }, + { + "epoch": 0.75, + "grad_norm": 1.856664233378138, + "learning_rate": 3.1914834518010506e-06, + "loss": 0.7738, + "step": 31675 + }, + { + "epoch": 0.75, + "grad_norm": 0.7960736098768338, + "learning_rate": 3.1909246040638562e-06, + "loss": 0.6706, + "step": 31676 + }, + { + "epoch": 0.75, + "grad_norm": 2.0290977803990318, + "learning_rate": 3.1903657959712585e-06, + "loss": 0.9007, + "step": 31677 + }, + { + "epoch": 0.75, + "grad_norm": 1.948776320864532, + "learning_rate": 3.1898070275265035e-06, + "loss": 0.914, + "step": 31678 + }, + { + "epoch": 0.75, + "grad_norm": 1.611078595217313, + "learning_rate": 3.189248298732852e-06, + "loss": 0.7848, + "step": 31679 + }, + { + "epoch": 0.75, + "grad_norm": 1.5782612323568161, + "learning_rate": 3.1886896095935494e-06, + "loss": 0.7902, + "step": 31680 + }, + { + "epoch": 0.75, + "grad_norm": 1.5005049479777322, + "learning_rate": 3.188130960111856e-06, + "loss": 0.7675, + "step": 31681 + }, + { + "epoch": 0.75, + "grad_norm": 1.7488466737059931, + "learning_rate": 3.1875723502910173e-06, + "loss": 0.9119, + "step": 31682 + }, + { + "epoch": 0.75, + "grad_norm": 1.5200174822886938, + "learning_rate": 3.1870137801342917e-06, + "loss": 0.8094, + "step": 31683 + }, + { + "epoch": 0.75, + "grad_norm": 1.684198420738211, + "learning_rate": 3.1864552496449297e-06, + "loss": 0.8371, + "step": 31684 + }, + { + "epoch": 0.75, + "grad_norm": 1.760567936285682, + "learning_rate": 3.185896758826178e-06, + "loss": 0.9339, + "step": 31685 + }, + { + "epoch": 0.75, + "grad_norm": 1.5548325498975815, + "learning_rate": 3.185338307681294e-06, + "loss": 0.9054, + "step": 31686 + }, + { + "epoch": 0.75, + "grad_norm": 1.4959892337287435, + "learning_rate": 3.18477989621353e-06, + "loss": 0.8511, + "step": 31687 + }, + { + "epoch": 0.75, + "grad_norm": 1.8070094948108482, + "learning_rate": 3.1842215244261356e-06, + "loss": 0.9175, + "step": 31688 + }, + { + "epoch": 0.75, + "grad_norm": 1.4762851177259444, + "learning_rate": 3.1836631923223583e-06, + "loss": 0.7901, + "step": 31689 + }, + { + "epoch": 0.75, + "grad_norm": 1.377217503625342, + "learning_rate": 3.1831048999054513e-06, + "loss": 0.8112, + "step": 31690 + }, + { + "epoch": 0.75, + "grad_norm": 1.3820700132528783, + "learning_rate": 3.1825466471786693e-06, + "loss": 0.8422, + "step": 31691 + }, + { + "epoch": 0.75, + "grad_norm": 1.659858043057765, + "learning_rate": 3.18198843414526e-06, + "loss": 0.7148, + "step": 31692 + }, + { + "epoch": 0.75, + "grad_norm": 1.799557179059821, + "learning_rate": 3.1814302608084678e-06, + "loss": 0.8056, + "step": 31693 + }, + { + "epoch": 0.75, + "grad_norm": 0.7977538974672712, + "learning_rate": 3.180872127171548e-06, + "loss": 0.6521, + "step": 31694 + }, + { + "epoch": 0.75, + "grad_norm": 1.4639171302507172, + "learning_rate": 3.1803140332377535e-06, + "loss": 0.9023, + "step": 31695 + }, + { + "epoch": 0.75, + "grad_norm": 2.037461052794137, + "learning_rate": 3.1797559790103293e-06, + "loss": 0.8272, + "step": 31696 + }, + { + "epoch": 0.75, + "grad_norm": 1.8358168374647263, + "learning_rate": 3.179197964492522e-06, + "loss": 0.8627, + "step": 31697 + }, + { + "epoch": 0.75, + "grad_norm": 1.4511731621148034, + "learning_rate": 3.1786399896875862e-06, + "loss": 0.8649, + "step": 31698 + }, + { + "epoch": 0.75, + "grad_norm": 1.6550547274554497, + "learning_rate": 3.1780820545987647e-06, + "loss": 0.8927, + "step": 31699 + }, + { + "epoch": 0.75, + "grad_norm": 1.4332705964537207, + "learning_rate": 3.1775241592293127e-06, + "loss": 0.9775, + "step": 31700 + }, + { + "epoch": 0.75, + "grad_norm": 1.599883044746905, + "learning_rate": 3.176966303582473e-06, + "loss": 0.7668, + "step": 31701 + }, + { + "epoch": 0.75, + "grad_norm": 1.5633053044154062, + "learning_rate": 3.1764084876614965e-06, + "loss": 0.8855, + "step": 31702 + }, + { + "epoch": 0.75, + "grad_norm": 0.8165624124774006, + "learning_rate": 3.175850711469629e-06, + "loss": 0.7293, + "step": 31703 + }, + { + "epoch": 0.75, + "grad_norm": 1.7641011303154195, + "learning_rate": 3.1752929750101216e-06, + "loss": 0.8476, + "step": 31704 + }, + { + "epoch": 0.75, + "grad_norm": 1.5502159781749885, + "learning_rate": 3.1747352782862185e-06, + "loss": 0.7621, + "step": 31705 + }, + { + "epoch": 0.75, + "grad_norm": 1.77407535812382, + "learning_rate": 3.1741776213011643e-06, + "loss": 0.8456, + "step": 31706 + }, + { + "epoch": 0.75, + "grad_norm": 1.4332733649353446, + "learning_rate": 3.17362000405821e-06, + "loss": 0.836, + "step": 31707 + }, + { + "epoch": 0.75, + "grad_norm": 1.5982495343211822, + "learning_rate": 3.1730624265606037e-06, + "loss": 0.7136, + "step": 31708 + }, + { + "epoch": 0.75, + "grad_norm": 1.526350795295701, + "learning_rate": 3.1725048888115893e-06, + "loss": 0.8673, + "step": 31709 + }, + { + "epoch": 0.75, + "grad_norm": 1.682207252352055, + "learning_rate": 3.1719473908144106e-06, + "loss": 0.8021, + "step": 31710 + }, + { + "epoch": 0.75, + "grad_norm": 1.9379233749999523, + "learning_rate": 3.1713899325723153e-06, + "loss": 0.875, + "step": 31711 + }, + { + "epoch": 0.75, + "grad_norm": 1.8684489544533303, + "learning_rate": 3.1708325140885533e-06, + "loss": 0.6969, + "step": 31712 + }, + { + "epoch": 0.75, + "grad_norm": 1.6711125388556038, + "learning_rate": 3.1702751353663664e-06, + "loss": 0.8811, + "step": 31713 + }, + { + "epoch": 0.75, + "grad_norm": 1.6479711583937628, + "learning_rate": 3.1697177964089963e-06, + "loss": 0.7863, + "step": 31714 + }, + { + "epoch": 0.75, + "grad_norm": 1.7133085945636282, + "learning_rate": 3.1691604972196922e-06, + "loss": 0.9162, + "step": 31715 + }, + { + "epoch": 0.75, + "grad_norm": 1.5502299231565726, + "learning_rate": 3.168603237801701e-06, + "loss": 0.7751, + "step": 31716 + }, + { + "epoch": 0.75, + "grad_norm": 1.7265758362517716, + "learning_rate": 3.168046018158264e-06, + "loss": 0.8714, + "step": 31717 + }, + { + "epoch": 0.75, + "grad_norm": 3.8965255389826727, + "learning_rate": 3.1674888382926237e-06, + "loss": 0.8078, + "step": 31718 + }, + { + "epoch": 0.75, + "grad_norm": 1.6426288538290452, + "learning_rate": 3.1669316982080268e-06, + "loss": 0.8088, + "step": 31719 + }, + { + "epoch": 0.75, + "grad_norm": 1.5173665309815794, + "learning_rate": 3.1663745979077186e-06, + "loss": 0.8771, + "step": 31720 + }, + { + "epoch": 0.75, + "grad_norm": 1.7120009074607683, + "learning_rate": 3.165817537394943e-06, + "loss": 0.851, + "step": 31721 + }, + { + "epoch": 0.75, + "grad_norm": 1.658219879068419, + "learning_rate": 3.1652605166729367e-06, + "loss": 0.8676, + "step": 31722 + }, + { + "epoch": 0.75, + "grad_norm": 1.7628708147745387, + "learning_rate": 3.164703535744951e-06, + "loss": 0.8648, + "step": 31723 + }, + { + "epoch": 0.75, + "grad_norm": 1.586629601567323, + "learning_rate": 3.1641465946142223e-06, + "loss": 0.7334, + "step": 31724 + }, + { + "epoch": 0.75, + "grad_norm": 0.7392111096734123, + "learning_rate": 3.1635896932839994e-06, + "loss": 0.6956, + "step": 31725 + }, + { + "epoch": 0.75, + "grad_norm": 1.85671404150445, + "learning_rate": 3.1630328317575187e-06, + "loss": 0.7695, + "step": 31726 + }, + { + "epoch": 0.75, + "grad_norm": 0.7504934397680245, + "learning_rate": 3.162476010038028e-06, + "loss": 0.7173, + "step": 31727 + }, + { + "epoch": 0.75, + "grad_norm": 1.6269366291341576, + "learning_rate": 3.1619192281287647e-06, + "loss": 0.8058, + "step": 31728 + }, + { + "epoch": 0.75, + "grad_norm": 1.8220446662892533, + "learning_rate": 3.1613624860329716e-06, + "loss": 0.6906, + "step": 31729 + }, + { + "epoch": 0.75, + "grad_norm": 2.1568910880578303, + "learning_rate": 3.1608057837538976e-06, + "loss": 0.7166, + "step": 31730 + }, + { + "epoch": 0.75, + "grad_norm": 1.6428908210690267, + "learning_rate": 3.1602491212947717e-06, + "loss": 0.8426, + "step": 31731 + }, + { + "epoch": 0.75, + "grad_norm": 1.7927012163271356, + "learning_rate": 3.1596924986588397e-06, + "loss": 0.8353, + "step": 31732 + }, + { + "epoch": 0.75, + "grad_norm": 1.8965919029050036, + "learning_rate": 3.1591359158493453e-06, + "loss": 0.9467, + "step": 31733 + }, + { + "epoch": 0.75, + "grad_norm": 1.694511127930911, + "learning_rate": 3.1585793728695325e-06, + "loss": 0.9734, + "step": 31734 + }, + { + "epoch": 0.75, + "grad_norm": 1.756770156396967, + "learning_rate": 3.15802286972263e-06, + "loss": 0.8662, + "step": 31735 + }, + { + "epoch": 0.75, + "grad_norm": 1.4881231701453863, + "learning_rate": 3.1574664064118856e-06, + "loss": 0.7622, + "step": 31736 + }, + { + "epoch": 0.75, + "grad_norm": 1.541867354504313, + "learning_rate": 3.15690998294054e-06, + "loss": 0.801, + "step": 31737 + }, + { + "epoch": 0.75, + "grad_norm": 1.5770564235686064, + "learning_rate": 3.1563535993118287e-06, + "loss": 0.6933, + "step": 31738 + }, + { + "epoch": 0.75, + "grad_norm": 1.8185365943730214, + "learning_rate": 3.155797255528996e-06, + "loss": 0.9401, + "step": 31739 + }, + { + "epoch": 0.75, + "grad_norm": 1.4050817252816385, + "learning_rate": 3.1552409515952764e-06, + "loss": 0.7559, + "step": 31740 + }, + { + "epoch": 0.75, + "grad_norm": 1.5533411484622777, + "learning_rate": 3.1546846875139136e-06, + "loss": 0.8216, + "step": 31741 + }, + { + "epoch": 0.75, + "grad_norm": 1.6509036117055949, + "learning_rate": 3.15412846328814e-06, + "loss": 0.8625, + "step": 31742 + }, + { + "epoch": 0.75, + "grad_norm": 1.771330309137844, + "learning_rate": 3.153572278921202e-06, + "loss": 0.7837, + "step": 31743 + }, + { + "epoch": 0.75, + "grad_norm": 1.6564794357732218, + "learning_rate": 3.1530161344163324e-06, + "loss": 0.7776, + "step": 31744 + }, + { + "epoch": 0.75, + "grad_norm": 0.7831580683523253, + "learning_rate": 3.1524600297767682e-06, + "loss": 0.7135, + "step": 31745 + }, + { + "epoch": 0.75, + "grad_norm": 1.965128039500734, + "learning_rate": 3.1519039650057502e-06, + "loss": 0.7667, + "step": 31746 + }, + { + "epoch": 0.75, + "grad_norm": 1.6239494130985064, + "learning_rate": 3.1513479401065174e-06, + "loss": 0.7994, + "step": 31747 + }, + { + "epoch": 0.75, + "grad_norm": 1.669562426232145, + "learning_rate": 3.1507919550823063e-06, + "loss": 0.7229, + "step": 31748 + }, + { + "epoch": 0.75, + "grad_norm": 1.5975519573764179, + "learning_rate": 3.150236009936349e-06, + "loss": 0.8637, + "step": 31749 + }, + { + "epoch": 0.75, + "grad_norm": 1.537048754574436, + "learning_rate": 3.149680104671886e-06, + "loss": 0.8426, + "step": 31750 + }, + { + "epoch": 0.75, + "grad_norm": 1.6431364359463696, + "learning_rate": 3.149124239292158e-06, + "loss": 0.8552, + "step": 31751 + }, + { + "epoch": 0.75, + "grad_norm": 1.721162684958507, + "learning_rate": 3.148568413800397e-06, + "loss": 0.8475, + "step": 31752 + }, + { + "epoch": 0.75, + "grad_norm": 0.7575339608553482, + "learning_rate": 3.148012628199837e-06, + "loss": 0.7466, + "step": 31753 + }, + { + "epoch": 0.75, + "grad_norm": 1.8681709122388876, + "learning_rate": 3.147456882493717e-06, + "loss": 0.8064, + "step": 31754 + }, + { + "epoch": 0.75, + "grad_norm": 1.6071264974672028, + "learning_rate": 3.1469011766852754e-06, + "loss": 0.8978, + "step": 31755 + }, + { + "epoch": 0.75, + "grad_norm": 1.6621038226359592, + "learning_rate": 3.146345510777745e-06, + "loss": 0.9277, + "step": 31756 + }, + { + "epoch": 0.75, + "grad_norm": 1.814723619619706, + "learning_rate": 3.1457898847743573e-06, + "loss": 0.9314, + "step": 31757 + }, + { + "epoch": 0.75, + "grad_norm": 1.5655145556693992, + "learning_rate": 3.1452342986783545e-06, + "loss": 0.862, + "step": 31758 + }, + { + "epoch": 0.75, + "grad_norm": 1.6859683768041933, + "learning_rate": 3.1446787524929644e-06, + "loss": 0.8027, + "step": 31759 + }, + { + "epoch": 0.75, + "grad_norm": 0.7964452824542185, + "learning_rate": 3.144123246221428e-06, + "loss": 0.7149, + "step": 31760 + }, + { + "epoch": 0.75, + "grad_norm": 1.613996021500693, + "learning_rate": 3.1435677798669738e-06, + "loss": 0.7622, + "step": 31761 + }, + { + "epoch": 0.75, + "grad_norm": 1.671899113107976, + "learning_rate": 3.1430123534328415e-06, + "loss": 0.8506, + "step": 31762 + }, + { + "epoch": 0.75, + "grad_norm": 1.5570680653164226, + "learning_rate": 3.142456966922259e-06, + "loss": 0.8862, + "step": 31763 + }, + { + "epoch": 0.75, + "grad_norm": 0.7647220017743925, + "learning_rate": 3.1419016203384666e-06, + "loss": 0.659, + "step": 31764 + }, + { + "epoch": 0.75, + "grad_norm": 1.6700916203488403, + "learning_rate": 3.1413463136846945e-06, + "loss": 0.8463, + "step": 31765 + }, + { + "epoch": 0.75, + "grad_norm": 1.8873145674414875, + "learning_rate": 3.140791046964172e-06, + "loss": 0.8859, + "step": 31766 + }, + { + "epoch": 0.75, + "grad_norm": 1.9433873113913767, + "learning_rate": 3.1402358201801355e-06, + "loss": 0.769, + "step": 31767 + }, + { + "epoch": 0.75, + "grad_norm": 1.73620758031094, + "learning_rate": 3.1396806333358208e-06, + "loss": 0.8272, + "step": 31768 + }, + { + "epoch": 0.75, + "grad_norm": 1.5937952020862522, + "learning_rate": 3.1391254864344577e-06, + "loss": 0.8693, + "step": 31769 + }, + { + "epoch": 0.75, + "grad_norm": 1.8314054270039148, + "learning_rate": 3.1385703794792742e-06, + "loss": 0.7287, + "step": 31770 + }, + { + "epoch": 0.75, + "grad_norm": 1.6832805261827932, + "learning_rate": 3.138015312473508e-06, + "loss": 0.7655, + "step": 31771 + }, + { + "epoch": 0.75, + "grad_norm": 0.7007454197095587, + "learning_rate": 3.1374602854203908e-06, + "loss": 0.6504, + "step": 31772 + }, + { + "epoch": 0.75, + "grad_norm": 1.5952918794793314, + "learning_rate": 3.1369052983231527e-06, + "loss": 1.0013, + "step": 31773 + }, + { + "epoch": 0.75, + "grad_norm": 1.9199266907521444, + "learning_rate": 3.1363503511850222e-06, + "loss": 0.9177, + "step": 31774 + }, + { + "epoch": 0.75, + "grad_norm": 0.8128079460296206, + "learning_rate": 3.135795444009232e-06, + "loss": 0.7262, + "step": 31775 + }, + { + "epoch": 0.75, + "grad_norm": 1.6505809502432616, + "learning_rate": 3.135240576799018e-06, + "loss": 0.7856, + "step": 31776 + }, + { + "epoch": 0.75, + "grad_norm": 1.5887366754070906, + "learning_rate": 3.1346857495576066e-06, + "loss": 0.934, + "step": 31777 + }, + { + "epoch": 0.75, + "grad_norm": 0.7728257937698891, + "learning_rate": 3.134130962288224e-06, + "loss": 0.7333, + "step": 31778 + }, + { + "epoch": 0.75, + "grad_norm": 1.4561386193742891, + "learning_rate": 3.1335762149941095e-06, + "loss": 0.7222, + "step": 31779 + }, + { + "epoch": 0.75, + "grad_norm": 1.6643976844089194, + "learning_rate": 3.133021507678484e-06, + "loss": 0.8231, + "step": 31780 + }, + { + "epoch": 0.75, + "grad_norm": 1.6537515795958524, + "learning_rate": 3.1324668403445845e-06, + "loss": 0.8636, + "step": 31781 + }, + { + "epoch": 0.75, + "grad_norm": 1.6180813579526407, + "learning_rate": 3.1319122129956337e-06, + "loss": 0.9036, + "step": 31782 + }, + { + "epoch": 0.75, + "grad_norm": 2.0801659274906568, + "learning_rate": 3.1313576256348687e-06, + "loss": 0.8873, + "step": 31783 + }, + { + "epoch": 0.75, + "grad_norm": 1.6364186325335113, + "learning_rate": 3.1308030782655106e-06, + "loss": 0.9074, + "step": 31784 + }, + { + "epoch": 0.75, + "grad_norm": 1.7430341904609394, + "learning_rate": 3.130248570890795e-06, + "loss": 0.7822, + "step": 31785 + }, + { + "epoch": 0.75, + "grad_norm": 1.929233629497407, + "learning_rate": 3.129694103513946e-06, + "loss": 0.9252, + "step": 31786 + }, + { + "epoch": 0.75, + "grad_norm": 1.6366404537277273, + "learning_rate": 3.129139676138191e-06, + "loss": 0.7963, + "step": 31787 + }, + { + "epoch": 0.75, + "grad_norm": 1.88495612088209, + "learning_rate": 3.12858528876676e-06, + "loss": 0.8087, + "step": 31788 + }, + { + "epoch": 0.75, + "grad_norm": 1.5473562368451979, + "learning_rate": 3.128030941402883e-06, + "loss": 0.8315, + "step": 31789 + }, + { + "epoch": 0.75, + "grad_norm": 1.6779913318668531, + "learning_rate": 3.1274766340497876e-06, + "loss": 0.9157, + "step": 31790 + }, + { + "epoch": 0.75, + "grad_norm": 1.6000168672899642, + "learning_rate": 3.126922366710694e-06, + "loss": 0.6989, + "step": 31791 + }, + { + "epoch": 0.75, + "grad_norm": 1.6714869251888407, + "learning_rate": 3.1263681393888347e-06, + "loss": 0.7663, + "step": 31792 + }, + { + "epoch": 0.75, + "grad_norm": 1.5038869753986501, + "learning_rate": 3.1258139520874396e-06, + "loss": 0.8659, + "step": 31793 + }, + { + "epoch": 0.75, + "grad_norm": 1.5963928544112453, + "learning_rate": 3.125259804809733e-06, + "loss": 0.8315, + "step": 31794 + }, + { + "epoch": 0.75, + "grad_norm": 1.6092538434834591, + "learning_rate": 3.1247056975589364e-06, + "loss": 0.8741, + "step": 31795 + }, + { + "epoch": 0.75, + "grad_norm": 2.1711024872270777, + "learning_rate": 3.124151630338279e-06, + "loss": 0.824, + "step": 31796 + }, + { + "epoch": 0.75, + "grad_norm": 1.6720056916362949, + "learning_rate": 3.123597603150992e-06, + "loss": 0.8362, + "step": 31797 + }, + { + "epoch": 0.75, + "grad_norm": 1.7410755007183352, + "learning_rate": 3.1230436160002963e-06, + "loss": 0.8508, + "step": 31798 + }, + { + "epoch": 0.75, + "grad_norm": 1.6410223695361699, + "learning_rate": 3.1224896688894146e-06, + "loss": 0.8872, + "step": 31799 + }, + { + "epoch": 0.75, + "grad_norm": 1.6636069482534588, + "learning_rate": 3.1219357618215785e-06, + "loss": 0.8212, + "step": 31800 + }, + { + "epoch": 0.75, + "grad_norm": 1.6745737382981267, + "learning_rate": 3.1213818948000074e-06, + "loss": 0.8729, + "step": 31801 + }, + { + "epoch": 0.75, + "grad_norm": 1.6869432276204186, + "learning_rate": 3.120828067827931e-06, + "loss": 0.8457, + "step": 31802 + }, + { + "epoch": 0.75, + "grad_norm": 1.9444520391066928, + "learning_rate": 3.1202742809085694e-06, + "loss": 0.777, + "step": 31803 + }, + { + "epoch": 0.75, + "grad_norm": 1.7381970673171825, + "learning_rate": 3.119720534045152e-06, + "loss": 0.9775, + "step": 31804 + }, + { + "epoch": 0.75, + "grad_norm": 1.7323571467416512, + "learning_rate": 3.119166827240896e-06, + "loss": 0.7791, + "step": 31805 + }, + { + "epoch": 0.75, + "grad_norm": 1.5648674242762222, + "learning_rate": 3.118613160499032e-06, + "loss": 0.8067, + "step": 31806 + }, + { + "epoch": 0.75, + "grad_norm": 1.5455564302369535, + "learning_rate": 3.1180595338227827e-06, + "loss": 0.841, + "step": 31807 + }, + { + "epoch": 0.75, + "grad_norm": 1.6802237598616252, + "learning_rate": 3.1175059472153648e-06, + "loss": 0.8666, + "step": 31808 + }, + { + "epoch": 0.75, + "grad_norm": 1.6062473440187466, + "learning_rate": 3.1169524006800066e-06, + "loss": 1.015, + "step": 31809 + }, + { + "epoch": 0.75, + "grad_norm": 1.5745548769165354, + "learning_rate": 3.116398894219934e-06, + "loss": 0.8876, + "step": 31810 + }, + { + "epoch": 0.75, + "grad_norm": 1.642276893350407, + "learning_rate": 3.1158454278383666e-06, + "loss": 0.7519, + "step": 31811 + }, + { + "epoch": 0.75, + "grad_norm": 1.5029430391522296, + "learning_rate": 3.1152920015385225e-06, + "loss": 0.7776, + "step": 31812 + }, + { + "epoch": 0.75, + "grad_norm": 1.570542060888744, + "learning_rate": 3.114738615323628e-06, + "loss": 1.0162, + "step": 31813 + }, + { + "epoch": 0.75, + "grad_norm": 1.7106377250413816, + "learning_rate": 3.1141852691969098e-06, + "loss": 0.783, + "step": 31814 + }, + { + "epoch": 0.75, + "grad_norm": 1.6929378374988688, + "learning_rate": 3.113631963161584e-06, + "loss": 0.7186, + "step": 31815 + }, + { + "epoch": 0.75, + "grad_norm": 1.5056954097176853, + "learning_rate": 3.1130786972208694e-06, + "loss": 0.7647, + "step": 31816 + }, + { + "epoch": 0.75, + "grad_norm": 1.4486883136506605, + "learning_rate": 3.112525471377992e-06, + "loss": 0.858, + "step": 31817 + }, + { + "epoch": 0.75, + "grad_norm": 1.5739477991678987, + "learning_rate": 3.1119722856361744e-06, + "loss": 0.9306, + "step": 31818 + }, + { + "epoch": 0.75, + "grad_norm": 1.9576607010319926, + "learning_rate": 3.111419139998635e-06, + "loss": 0.8711, + "step": 31819 + }, + { + "epoch": 0.75, + "grad_norm": 1.5803084503074123, + "learning_rate": 3.1108660344685913e-06, + "loss": 0.7698, + "step": 31820 + }, + { + "epoch": 0.75, + "grad_norm": 1.9031165769262706, + "learning_rate": 3.1103129690492694e-06, + "loss": 0.868, + "step": 31821 + }, + { + "epoch": 0.75, + "grad_norm": 1.5456713744575652, + "learning_rate": 3.109759943743884e-06, + "loss": 0.8826, + "step": 31822 + }, + { + "epoch": 0.75, + "grad_norm": 0.7637974627881585, + "learning_rate": 3.1092069585556573e-06, + "loss": 0.7179, + "step": 31823 + }, + { + "epoch": 0.75, + "grad_norm": 1.4779754157517306, + "learning_rate": 3.1086540134878117e-06, + "loss": 0.779, + "step": 31824 + }, + { + "epoch": 0.75, + "grad_norm": 1.7751357755415382, + "learning_rate": 3.1081011085435653e-06, + "loss": 0.8972, + "step": 31825 + }, + { + "epoch": 0.75, + "grad_norm": 1.6610314480120434, + "learning_rate": 3.1075482437261326e-06, + "loss": 0.9208, + "step": 31826 + }, + { + "epoch": 0.75, + "grad_norm": 0.7604753396347184, + "learning_rate": 3.106995419038736e-06, + "loss": 0.6948, + "step": 31827 + }, + { + "epoch": 0.75, + "grad_norm": 1.6555136119897407, + "learning_rate": 3.106442634484601e-06, + "loss": 0.7674, + "step": 31828 + }, + { + "epoch": 0.75, + "grad_norm": 1.8855760530698316, + "learning_rate": 3.105889890066933e-06, + "loss": 0.9015, + "step": 31829 + }, + { + "epoch": 0.75, + "grad_norm": 1.6808960232850927, + "learning_rate": 3.105337185788957e-06, + "loss": 0.7977, + "step": 31830 + }, + { + "epoch": 0.75, + "grad_norm": 1.824868223145559, + "learning_rate": 3.1047845216538895e-06, + "loss": 0.8409, + "step": 31831 + }, + { + "epoch": 0.75, + "grad_norm": 1.7009614699785132, + "learning_rate": 3.1042318976649575e-06, + "loss": 0.7394, + "step": 31832 + }, + { + "epoch": 0.75, + "grad_norm": 1.718269005813117, + "learning_rate": 3.1036793138253627e-06, + "loss": 0.7957, + "step": 31833 + }, + { + "epoch": 0.75, + "grad_norm": 1.641241703202032, + "learning_rate": 3.103126770138332e-06, + "loss": 0.5673, + "step": 31834 + }, + { + "epoch": 0.75, + "grad_norm": 1.5515623093093933, + "learning_rate": 3.1025742666070823e-06, + "loss": 0.9336, + "step": 31835 + }, + { + "epoch": 0.75, + "grad_norm": 1.5359766590369355, + "learning_rate": 3.102021803234827e-06, + "loss": 0.8614, + "step": 31836 + }, + { + "epoch": 0.75, + "grad_norm": 1.5419841676911772, + "learning_rate": 3.1014693800247865e-06, + "loss": 0.8255, + "step": 31837 + }, + { + "epoch": 0.75, + "grad_norm": 2.2681024516319015, + "learning_rate": 3.1009169969801735e-06, + "loss": 0.9113, + "step": 31838 + }, + { + "epoch": 0.75, + "grad_norm": 1.4897824482520465, + "learning_rate": 3.100364654104208e-06, + "loss": 0.8086, + "step": 31839 + }, + { + "epoch": 0.75, + "grad_norm": 1.8926862795507957, + "learning_rate": 3.099812351400101e-06, + "loss": 0.8867, + "step": 31840 + }, + { + "epoch": 0.75, + "grad_norm": 1.4888186083074024, + "learning_rate": 3.0992600888710745e-06, + "loss": 0.8975, + "step": 31841 + }, + { + "epoch": 0.75, + "grad_norm": 1.4713725824921404, + "learning_rate": 3.098707866520341e-06, + "loss": 0.6353, + "step": 31842 + }, + { + "epoch": 0.75, + "grad_norm": 1.8405464921752583, + "learning_rate": 3.098155684351111e-06, + "loss": 0.8218, + "step": 31843 + }, + { + "epoch": 0.75, + "grad_norm": 1.527212338494849, + "learning_rate": 3.097603542366604e-06, + "loss": 0.8696, + "step": 31844 + }, + { + "epoch": 0.75, + "grad_norm": 1.8600626871554198, + "learning_rate": 3.097051440570038e-06, + "loss": 0.7939, + "step": 31845 + }, + { + "epoch": 0.75, + "grad_norm": 1.658366982411253, + "learning_rate": 3.0964993789646236e-06, + "loss": 0.7705, + "step": 31846 + }, + { + "epoch": 0.75, + "grad_norm": 1.6412336390973312, + "learning_rate": 3.0959473575535725e-06, + "loss": 0.8575, + "step": 31847 + }, + { + "epoch": 0.75, + "grad_norm": 1.6343014670159606, + "learning_rate": 3.0953953763401013e-06, + "loss": 0.8621, + "step": 31848 + }, + { + "epoch": 0.75, + "grad_norm": 1.4713437163836711, + "learning_rate": 3.094843435327427e-06, + "loss": 0.8085, + "step": 31849 + }, + { + "epoch": 0.75, + "grad_norm": 1.593302589804747, + "learning_rate": 3.0942915345187617e-06, + "loss": 0.7848, + "step": 31850 + }, + { + "epoch": 0.75, + "grad_norm": 0.8214640002273663, + "learning_rate": 3.093739673917313e-06, + "loss": 0.7144, + "step": 31851 + }, + { + "epoch": 0.75, + "grad_norm": 1.6356808661062026, + "learning_rate": 3.0931878535262994e-06, + "loss": 0.7462, + "step": 31852 + }, + { + "epoch": 0.75, + "grad_norm": 1.6774965537046165, + "learning_rate": 3.0926360733489345e-06, + "loss": 0.9813, + "step": 31853 + }, + { + "epoch": 0.75, + "grad_norm": 0.7854070822878626, + "learning_rate": 3.092084333388431e-06, + "loss": 0.7152, + "step": 31854 + }, + { + "epoch": 0.75, + "grad_norm": 1.8801193408820631, + "learning_rate": 3.0915326336479947e-06, + "loss": 0.7783, + "step": 31855 + }, + { + "epoch": 0.75, + "grad_norm": 1.527260038965716, + "learning_rate": 3.0909809741308437e-06, + "loss": 0.8477, + "step": 31856 + }, + { + "epoch": 0.75, + "grad_norm": 1.616369144073778, + "learning_rate": 3.090429354840192e-06, + "loss": 0.861, + "step": 31857 + }, + { + "epoch": 0.75, + "grad_norm": 1.9799569228497347, + "learning_rate": 3.0898777757792477e-06, + "loss": 0.8712, + "step": 31858 + }, + { + "epoch": 0.75, + "grad_norm": 1.6534450358485344, + "learning_rate": 3.089326236951219e-06, + "loss": 0.7954, + "step": 31859 + }, + { + "epoch": 0.75, + "grad_norm": 1.451182873298829, + "learning_rate": 3.0887747383593245e-06, + "loss": 0.8464, + "step": 31860 + }, + { + "epoch": 0.75, + "grad_norm": 2.1218220832022903, + "learning_rate": 3.088223280006769e-06, + "loss": 0.9178, + "step": 31861 + }, + { + "epoch": 0.75, + "grad_norm": 1.8784513350315442, + "learning_rate": 3.087671861896768e-06, + "loss": 0.7943, + "step": 31862 + }, + { + "epoch": 0.75, + "grad_norm": 1.4867550839421861, + "learning_rate": 3.0871204840325276e-06, + "loss": 0.859, + "step": 31863 + }, + { + "epoch": 0.75, + "grad_norm": 1.9171637162396453, + "learning_rate": 3.086569146417263e-06, + "loss": 0.9124, + "step": 31864 + }, + { + "epoch": 0.75, + "grad_norm": 2.0140002249598212, + "learning_rate": 3.086017849054178e-06, + "loss": 0.8529, + "step": 31865 + }, + { + "epoch": 0.75, + "grad_norm": 1.621786096457605, + "learning_rate": 3.08546659194649e-06, + "loss": 0.8646, + "step": 31866 + }, + { + "epoch": 0.75, + "grad_norm": 1.6651514665111795, + "learning_rate": 3.0849153750974036e-06, + "loss": 0.9509, + "step": 31867 + }, + { + "epoch": 0.75, + "grad_norm": 1.4486013973485115, + "learning_rate": 3.084364198510127e-06, + "loss": 0.9145, + "step": 31868 + }, + { + "epoch": 0.75, + "grad_norm": 1.508956505610423, + "learning_rate": 3.0838130621878704e-06, + "loss": 0.7302, + "step": 31869 + }, + { + "epoch": 0.75, + "grad_norm": 1.7348306534143143, + "learning_rate": 3.0832619661338482e-06, + "loss": 0.9577, + "step": 31870 + }, + { + "epoch": 0.75, + "grad_norm": 0.7575892053660982, + "learning_rate": 3.0827109103512643e-06, + "loss": 0.7375, + "step": 31871 + }, + { + "epoch": 0.75, + "grad_norm": 1.8196839525482886, + "learning_rate": 3.082159894843324e-06, + "loss": 0.7506, + "step": 31872 + }, + { + "epoch": 0.75, + "grad_norm": 1.4907529041972793, + "learning_rate": 3.081608919613238e-06, + "loss": 0.7795, + "step": 31873 + }, + { + "epoch": 0.75, + "grad_norm": 1.7601101495184757, + "learning_rate": 3.0810579846642196e-06, + "loss": 0.6988, + "step": 31874 + }, + { + "epoch": 0.75, + "grad_norm": 1.6367993125144717, + "learning_rate": 3.0805070899994715e-06, + "loss": 0.8615, + "step": 31875 + }, + { + "epoch": 0.75, + "grad_norm": 1.7616471902960928, + "learning_rate": 3.079956235622199e-06, + "loss": 0.8426, + "step": 31876 + }, + { + "epoch": 0.75, + "grad_norm": 1.7784512276141187, + "learning_rate": 3.079405421535613e-06, + "loss": 0.8239, + "step": 31877 + }, + { + "epoch": 0.75, + "grad_norm": 1.5833391792200457, + "learning_rate": 3.0788546477429214e-06, + "loss": 0.9832, + "step": 31878 + }, + { + "epoch": 0.75, + "grad_norm": 1.5829656882596992, + "learning_rate": 3.0783039142473305e-06, + "loss": 0.8658, + "step": 31879 + }, + { + "epoch": 0.75, + "grad_norm": 1.5585430280868187, + "learning_rate": 3.0777532210520413e-06, + "loss": 0.7919, + "step": 31880 + }, + { + "epoch": 0.75, + "grad_norm": 0.7363533707706315, + "learning_rate": 3.077202568160268e-06, + "loss": 0.6625, + "step": 31881 + }, + { + "epoch": 0.75, + "grad_norm": 1.5927468639489475, + "learning_rate": 3.0766519555752095e-06, + "loss": 0.829, + "step": 31882 + }, + { + "epoch": 0.75, + "grad_norm": 1.5667093333361461, + "learning_rate": 3.0761013833000785e-06, + "loss": 0.8419, + "step": 31883 + }, + { + "epoch": 0.75, + "grad_norm": 1.6743619940568069, + "learning_rate": 3.075550851338075e-06, + "loss": 0.8345, + "step": 31884 + }, + { + "epoch": 0.75, + "grad_norm": 2.3846688357102503, + "learning_rate": 3.0750003596924095e-06, + "loss": 0.7679, + "step": 31885 + }, + { + "epoch": 0.75, + "grad_norm": 1.3658499360059766, + "learning_rate": 3.0744499083662803e-06, + "loss": 0.8279, + "step": 31886 + }, + { + "epoch": 0.75, + "grad_norm": 1.7646950118789422, + "learning_rate": 3.0738994973629e-06, + "loss": 0.8829, + "step": 31887 + }, + { + "epoch": 0.75, + "grad_norm": 1.5375158533711795, + "learning_rate": 3.07334912668547e-06, + "loss": 0.7669, + "step": 31888 + }, + { + "epoch": 0.75, + "grad_norm": 1.4382417572008614, + "learning_rate": 3.0727987963371906e-06, + "loss": 0.7741, + "step": 31889 + }, + { + "epoch": 0.75, + "grad_norm": 1.4443749782161914, + "learning_rate": 3.0722485063212703e-06, + "loss": 0.7332, + "step": 31890 + }, + { + "epoch": 0.75, + "grad_norm": 1.6888945058406717, + "learning_rate": 3.071698256640915e-06, + "loss": 0.8249, + "step": 31891 + }, + { + "epoch": 0.75, + "grad_norm": 1.7812789547142234, + "learning_rate": 3.0711480472993262e-06, + "loss": 0.8813, + "step": 31892 + }, + { + "epoch": 0.75, + "grad_norm": 1.5121003952810783, + "learning_rate": 3.070597878299705e-06, + "loss": 0.7322, + "step": 31893 + }, + { + "epoch": 0.75, + "grad_norm": 1.7073604672870435, + "learning_rate": 3.070047749645255e-06, + "loss": 0.8191, + "step": 31894 + }, + { + "epoch": 0.75, + "grad_norm": 2.303485275845378, + "learning_rate": 3.0694976613391845e-06, + "loss": 0.8439, + "step": 31895 + }, + { + "epoch": 0.75, + "grad_norm": 1.6708446817805604, + "learning_rate": 3.068947613384694e-06, + "loss": 0.9343, + "step": 31896 + }, + { + "epoch": 0.75, + "grad_norm": 1.729178734212507, + "learning_rate": 3.068397605784981e-06, + "loss": 0.8221, + "step": 31897 + }, + { + "epoch": 0.75, + "grad_norm": 1.98439031258536, + "learning_rate": 3.067847638543251e-06, + "loss": 0.72, + "step": 31898 + }, + { + "epoch": 0.75, + "grad_norm": 1.5927183157165472, + "learning_rate": 3.0672977116627102e-06, + "loss": 0.8639, + "step": 31899 + }, + { + "epoch": 0.75, + "grad_norm": 1.6983739034300251, + "learning_rate": 3.066747825146558e-06, + "loss": 0.6815, + "step": 31900 + }, + { + "epoch": 0.75, + "grad_norm": 0.8028356426322747, + "learning_rate": 3.06619797899799e-06, + "loss": 0.7401, + "step": 31901 + }, + { + "epoch": 0.75, + "grad_norm": 1.5800036729923845, + "learning_rate": 3.065648173220217e-06, + "loss": 0.7517, + "step": 31902 + }, + { + "epoch": 0.75, + "grad_norm": 1.6085042287187037, + "learning_rate": 3.0650984078164325e-06, + "loss": 0.792, + "step": 31903 + }, + { + "epoch": 0.75, + "grad_norm": 2.663414269171894, + "learning_rate": 3.064548682789843e-06, + "loss": 0.9086, + "step": 31904 + }, + { + "epoch": 0.75, + "grad_norm": 1.4850695741972395, + "learning_rate": 3.0639989981436447e-06, + "loss": 0.7711, + "step": 31905 + }, + { + "epoch": 0.75, + "grad_norm": 1.8033754654644496, + "learning_rate": 3.063449353881043e-06, + "loss": 0.8117, + "step": 31906 + }, + { + "epoch": 0.75, + "grad_norm": 1.557139320299834, + "learning_rate": 3.0628997500052314e-06, + "loss": 1.0162, + "step": 31907 + }, + { + "epoch": 0.75, + "grad_norm": 1.7174734040081014, + "learning_rate": 3.062350186519417e-06, + "loss": 0.9225, + "step": 31908 + }, + { + "epoch": 0.75, + "grad_norm": 1.5492179718473404, + "learning_rate": 3.061800663426797e-06, + "loss": 0.8564, + "step": 31909 + }, + { + "epoch": 0.75, + "grad_norm": 3.4155435766423317, + "learning_rate": 3.0612511807305665e-06, + "loss": 0.7382, + "step": 31910 + }, + { + "epoch": 0.75, + "grad_norm": 1.7619783375341636, + "learning_rate": 3.060701738433929e-06, + "loss": 0.8603, + "step": 31911 + }, + { + "epoch": 0.75, + "grad_norm": 1.3743347873100962, + "learning_rate": 3.060152336540082e-06, + "loss": 0.7658, + "step": 31912 + }, + { + "epoch": 0.75, + "grad_norm": 1.5727539517168148, + "learning_rate": 3.0596029750522316e-06, + "loss": 0.8264, + "step": 31913 + }, + { + "epoch": 0.75, + "grad_norm": 1.5780482639039943, + "learning_rate": 3.059053653973564e-06, + "loss": 0.7237, + "step": 31914 + }, + { + "epoch": 0.75, + "grad_norm": 1.8660700945503523, + "learning_rate": 3.0585043733072838e-06, + "loss": 0.9637, + "step": 31915 + }, + { + "epoch": 0.75, + "grad_norm": 0.7082746706878297, + "learning_rate": 3.0579551330565915e-06, + "loss": 0.6832, + "step": 31916 + }, + { + "epoch": 0.75, + "grad_norm": 1.665397897037275, + "learning_rate": 3.057405933224682e-06, + "loss": 0.7193, + "step": 31917 + }, + { + "epoch": 0.75, + "grad_norm": 1.5666098531460368, + "learning_rate": 3.0568567738147505e-06, + "loss": 0.8631, + "step": 31918 + }, + { + "epoch": 0.75, + "grad_norm": 1.4656952813621285, + "learning_rate": 3.0563076548299965e-06, + "loss": 0.8393, + "step": 31919 + }, + { + "epoch": 0.75, + "grad_norm": 1.514146789719669, + "learning_rate": 3.055758576273621e-06, + "loss": 0.8707, + "step": 31920 + }, + { + "epoch": 0.75, + "grad_norm": 1.7650222617220688, + "learning_rate": 3.0552095381488144e-06, + "loss": 0.8456, + "step": 31921 + }, + { + "epoch": 0.75, + "grad_norm": 1.5552353000367747, + "learning_rate": 3.0546605404587803e-06, + "loss": 0.782, + "step": 31922 + }, + { + "epoch": 0.75, + "grad_norm": 1.475831165758999, + "learning_rate": 3.0541115832067115e-06, + "loss": 0.7533, + "step": 31923 + }, + { + "epoch": 0.75, + "grad_norm": 1.6547081010218951, + "learning_rate": 3.0535626663957996e-06, + "loss": 0.8075, + "step": 31924 + }, + { + "epoch": 0.75, + "grad_norm": 1.8077254702142533, + "learning_rate": 3.0530137900292456e-06, + "loss": 0.8948, + "step": 31925 + }, + { + "epoch": 0.75, + "grad_norm": 1.5152882417202567, + "learning_rate": 3.052464954110249e-06, + "loss": 0.8537, + "step": 31926 + }, + { + "epoch": 0.75, + "grad_norm": 0.7802921330486889, + "learning_rate": 3.051916158642e-06, + "loss": 0.711, + "step": 31927 + }, + { + "epoch": 0.75, + "grad_norm": 1.555207461048672, + "learning_rate": 3.051367403627692e-06, + "loss": 0.8103, + "step": 31928 + }, + { + "epoch": 0.75, + "grad_norm": 1.7288408980081038, + "learning_rate": 3.0508186890705214e-06, + "loss": 0.8296, + "step": 31929 + }, + { + "epoch": 0.75, + "grad_norm": 1.4140184920698524, + "learning_rate": 3.050270014973693e-06, + "loss": 0.7273, + "step": 31930 + }, + { + "epoch": 0.75, + "grad_norm": 1.4245628205528844, + "learning_rate": 3.049721381340386e-06, + "loss": 0.805, + "step": 31931 + }, + { + "epoch": 0.75, + "grad_norm": 0.7674202198835388, + "learning_rate": 3.049172788173801e-06, + "loss": 0.6902, + "step": 31932 + }, + { + "epoch": 0.75, + "grad_norm": 0.7627845871340574, + "learning_rate": 3.0486242354771322e-06, + "loss": 0.7047, + "step": 31933 + }, + { + "epoch": 0.75, + "grad_norm": 0.7397396568137886, + "learning_rate": 3.0480757232535773e-06, + "loss": 0.7103, + "step": 31934 + }, + { + "epoch": 0.75, + "grad_norm": 13.001156013956797, + "learning_rate": 3.047527251506327e-06, + "loss": 0.9031, + "step": 31935 + }, + { + "epoch": 0.75, + "grad_norm": 1.61281505326558, + "learning_rate": 3.0469788202385707e-06, + "loss": 0.7523, + "step": 31936 + }, + { + "epoch": 0.75, + "grad_norm": 2.754617528463205, + "learning_rate": 3.0464304294535086e-06, + "loss": 0.83, + "step": 31937 + }, + { + "epoch": 0.75, + "grad_norm": 1.5210993550526548, + "learning_rate": 3.0458820791543263e-06, + "loss": 0.7519, + "step": 31938 + }, + { + "epoch": 0.75, + "grad_norm": 1.5648894461867024, + "learning_rate": 3.045333769344223e-06, + "loss": 0.8876, + "step": 31939 + }, + { + "epoch": 0.75, + "grad_norm": 2.3230989739698304, + "learning_rate": 3.044785500026386e-06, + "loss": 0.6633, + "step": 31940 + }, + { + "epoch": 0.75, + "grad_norm": 1.8989108614851646, + "learning_rate": 3.0442372712040123e-06, + "loss": 0.8865, + "step": 31941 + }, + { + "epoch": 0.75, + "grad_norm": 2.2239117787292866, + "learning_rate": 3.043689082880289e-06, + "loss": 0.8843, + "step": 31942 + }, + { + "epoch": 0.75, + "grad_norm": 1.660627860740885, + "learning_rate": 3.043140935058412e-06, + "loss": 0.7221, + "step": 31943 + }, + { + "epoch": 0.75, + "grad_norm": 1.5436201951396973, + "learning_rate": 3.0425928277415716e-06, + "loss": 0.8404, + "step": 31944 + }, + { + "epoch": 0.75, + "grad_norm": 1.39450632683387, + "learning_rate": 3.0420447609329564e-06, + "loss": 0.8821, + "step": 31945 + }, + { + "epoch": 0.75, + "grad_norm": 1.6367416668652606, + "learning_rate": 3.041496734635758e-06, + "loss": 0.8726, + "step": 31946 + }, + { + "epoch": 0.75, + "grad_norm": 2.303766223846228, + "learning_rate": 3.040948748853172e-06, + "loss": 0.816, + "step": 31947 + }, + { + "epoch": 0.75, + "grad_norm": 1.5861321470988836, + "learning_rate": 3.0404008035883857e-06, + "loss": 0.8843, + "step": 31948 + }, + { + "epoch": 0.75, + "grad_norm": 1.5600786047757973, + "learning_rate": 3.0398528988445875e-06, + "loss": 0.8209, + "step": 31949 + }, + { + "epoch": 0.75, + "grad_norm": 1.5624699735922905, + "learning_rate": 3.0393050346249677e-06, + "loss": 0.8802, + "step": 31950 + }, + { + "epoch": 0.75, + "grad_norm": 1.4724557729299197, + "learning_rate": 3.0387572109327214e-06, + "loss": 0.8117, + "step": 31951 + }, + { + "epoch": 0.75, + "grad_norm": 1.6560269798645573, + "learning_rate": 3.0382094277710337e-06, + "loss": 0.8852, + "step": 31952 + }, + { + "epoch": 0.75, + "grad_norm": 1.725936707734405, + "learning_rate": 3.037661685143093e-06, + "loss": 0.8138, + "step": 31953 + }, + { + "epoch": 0.75, + "grad_norm": 1.6228346008555432, + "learning_rate": 3.037113983052089e-06, + "loss": 0.9153, + "step": 31954 + }, + { + "epoch": 0.75, + "grad_norm": 1.690875009210788, + "learning_rate": 3.036566321501215e-06, + "loss": 0.8114, + "step": 31955 + }, + { + "epoch": 0.75, + "grad_norm": 1.888019186084607, + "learning_rate": 3.036018700493658e-06, + "loss": 0.7066, + "step": 31956 + }, + { + "epoch": 0.75, + "grad_norm": 2.4821883858141427, + "learning_rate": 3.0354711200326004e-06, + "loss": 0.8462, + "step": 31957 + }, + { + "epoch": 0.75, + "grad_norm": 1.9132319628198466, + "learning_rate": 3.0349235801212383e-06, + "loss": 0.926, + "step": 31958 + }, + { + "epoch": 0.75, + "grad_norm": 1.6714574398103497, + "learning_rate": 3.0343760807627533e-06, + "loss": 0.7828, + "step": 31959 + }, + { + "epoch": 0.75, + "grad_norm": 1.472638682967675, + "learning_rate": 3.0338286219603385e-06, + "loss": 0.8464, + "step": 31960 + }, + { + "epoch": 0.75, + "grad_norm": 1.838769787828842, + "learning_rate": 3.033281203717177e-06, + "loss": 0.8989, + "step": 31961 + }, + { + "epoch": 0.75, + "grad_norm": 1.6180838299432263, + "learning_rate": 3.0327338260364604e-06, + "loss": 0.8217, + "step": 31962 + }, + { + "epoch": 0.75, + "grad_norm": 1.580313515016446, + "learning_rate": 3.032186488921369e-06, + "loss": 0.8393, + "step": 31963 + }, + { + "epoch": 0.75, + "grad_norm": 1.4574110241137492, + "learning_rate": 3.0316391923750986e-06, + "loss": 0.8949, + "step": 31964 + }, + { + "epoch": 0.75, + "grad_norm": 1.7958677846017934, + "learning_rate": 3.031091936400831e-06, + "loss": 0.8314, + "step": 31965 + }, + { + "epoch": 0.75, + "grad_norm": 1.7513084773526881, + "learning_rate": 3.030544721001748e-06, + "loss": 0.8984, + "step": 31966 + }, + { + "epoch": 0.75, + "grad_norm": 1.6327131694743133, + "learning_rate": 3.0299975461810406e-06, + "loss": 0.7309, + "step": 31967 + }, + { + "epoch": 0.75, + "grad_norm": 1.5579762244371342, + "learning_rate": 3.029450411941898e-06, + "loss": 0.8203, + "step": 31968 + }, + { + "epoch": 0.75, + "grad_norm": 1.6027381358053443, + "learning_rate": 3.0289033182875015e-06, + "loss": 0.8779, + "step": 31969 + }, + { + "epoch": 0.75, + "grad_norm": 1.6044925685089515, + "learning_rate": 3.028356265221033e-06, + "loss": 0.8477, + "step": 31970 + }, + { + "epoch": 0.75, + "grad_norm": 1.7748945318677172, + "learning_rate": 3.0278092527456826e-06, + "loss": 0.7323, + "step": 31971 + }, + { + "epoch": 0.75, + "grad_norm": 1.836446044118349, + "learning_rate": 3.0272622808646366e-06, + "loss": 0.8278, + "step": 31972 + }, + { + "epoch": 0.75, + "grad_norm": 1.500345272961404, + "learning_rate": 3.0267153495810776e-06, + "loss": 0.8627, + "step": 31973 + }, + { + "epoch": 0.75, + "grad_norm": 1.9828836918019241, + "learning_rate": 3.0261684588981866e-06, + "loss": 0.7829, + "step": 31974 + }, + { + "epoch": 0.75, + "grad_norm": 1.408583016146898, + "learning_rate": 3.0256216088191502e-06, + "loss": 0.7854, + "step": 31975 + }, + { + "epoch": 0.75, + "grad_norm": 1.6977474645133657, + "learning_rate": 3.0250747993471563e-06, + "loss": 0.8914, + "step": 31976 + }, + { + "epoch": 0.75, + "grad_norm": 1.7463148611649582, + "learning_rate": 3.024528030485384e-06, + "loss": 1.0102, + "step": 31977 + }, + { + "epoch": 0.75, + "grad_norm": 0.7668146949132206, + "learning_rate": 3.023981302237016e-06, + "loss": 0.7075, + "step": 31978 + }, + { + "epoch": 0.75, + "grad_norm": 1.5062231665637515, + "learning_rate": 3.0234346146052374e-06, + "loss": 0.8429, + "step": 31979 + }, + { + "epoch": 0.75, + "grad_norm": 1.4901338733756802, + "learning_rate": 3.0228879675932343e-06, + "loss": 0.7146, + "step": 31980 + }, + { + "epoch": 0.75, + "grad_norm": 1.499466519988945, + "learning_rate": 3.0223413612041865e-06, + "loss": 0.8048, + "step": 31981 + }, + { + "epoch": 0.75, + "grad_norm": 1.931056250428164, + "learning_rate": 3.021794795441272e-06, + "loss": 0.8866, + "step": 31982 + }, + { + "epoch": 0.75, + "grad_norm": 1.6339597308270586, + "learning_rate": 3.0212482703076817e-06, + "loss": 0.9124, + "step": 31983 + }, + { + "epoch": 0.75, + "grad_norm": 1.7929215849319613, + "learning_rate": 3.0207017858065903e-06, + "loss": 0.7443, + "step": 31984 + }, + { + "epoch": 0.75, + "grad_norm": 1.6063439908293982, + "learning_rate": 3.0201553419411857e-06, + "loss": 0.8551, + "step": 31985 + }, + { + "epoch": 0.75, + "grad_norm": 1.6620393088060623, + "learning_rate": 3.0196089387146433e-06, + "loss": 0.8897, + "step": 31986 + }, + { + "epoch": 0.75, + "grad_norm": 1.7943957259600598, + "learning_rate": 3.0190625761301506e-06, + "loss": 0.9313, + "step": 31987 + }, + { + "epoch": 0.75, + "grad_norm": 1.4236447734771223, + "learning_rate": 3.018516254190883e-06, + "loss": 0.8649, + "step": 31988 + }, + { + "epoch": 0.75, + "grad_norm": 1.493124287876549, + "learning_rate": 3.017969972900027e-06, + "loss": 0.7242, + "step": 31989 + }, + { + "epoch": 0.75, + "grad_norm": 1.6838864535457785, + "learning_rate": 3.0174237322607593e-06, + "loss": 0.7894, + "step": 31990 + }, + { + "epoch": 0.75, + "grad_norm": 1.661278450818535, + "learning_rate": 3.016877532276259e-06, + "loss": 0.7411, + "step": 31991 + }, + { + "epoch": 0.75, + "grad_norm": 1.6214697646267056, + "learning_rate": 3.016331372949709e-06, + "loss": 0.7119, + "step": 31992 + }, + { + "epoch": 0.75, + "grad_norm": 1.465530029547846, + "learning_rate": 3.0157852542842914e-06, + "loss": 0.8585, + "step": 31993 + }, + { + "epoch": 0.75, + "grad_norm": 1.363246866567292, + "learning_rate": 3.015239176283183e-06, + "loss": 0.7521, + "step": 31994 + }, + { + "epoch": 0.75, + "grad_norm": 1.727976364605568, + "learning_rate": 3.0146931389495604e-06, + "loss": 0.8289, + "step": 31995 + }, + { + "epoch": 0.75, + "grad_norm": 1.6334840198832223, + "learning_rate": 3.0141471422866065e-06, + "loss": 0.8435, + "step": 31996 + }, + { + "epoch": 0.75, + "grad_norm": 1.785951725044856, + "learning_rate": 3.0136011862975022e-06, + "loss": 0.9127, + "step": 31997 + }, + { + "epoch": 0.75, + "grad_norm": 3.3023555599948318, + "learning_rate": 3.0130552709854235e-06, + "loss": 0.9003, + "step": 31998 + }, + { + "epoch": 0.75, + "grad_norm": 0.7016983699787146, + "learning_rate": 3.0125093963535458e-06, + "loss": 0.6296, + "step": 31999 + }, + { + "epoch": 0.75, + "grad_norm": 1.620182029858325, + "learning_rate": 3.0119635624050515e-06, + "loss": 0.8423, + "step": 32000 + }, + { + "epoch": 0.75, + "grad_norm": 1.6882553336415433, + "learning_rate": 3.0114177691431203e-06, + "loss": 0.7326, + "step": 32001 + }, + { + "epoch": 0.75, + "grad_norm": 1.5555904968052798, + "learning_rate": 3.0108720165709273e-06, + "loss": 0.8843, + "step": 32002 + }, + { + "epoch": 0.75, + "grad_norm": 1.570050637686138, + "learning_rate": 3.0103263046916464e-06, + "loss": 0.8002, + "step": 32003 + }, + { + "epoch": 0.75, + "grad_norm": 1.734061703198529, + "learning_rate": 3.009780633508463e-06, + "loss": 0.7375, + "step": 32004 + }, + { + "epoch": 0.75, + "grad_norm": 1.6372745303144605, + "learning_rate": 3.0092350030245465e-06, + "loss": 0.7939, + "step": 32005 + }, + { + "epoch": 0.75, + "grad_norm": 0.7460663024533964, + "learning_rate": 3.00868941324308e-06, + "loss": 0.7317, + "step": 32006 + }, + { + "epoch": 0.75, + "grad_norm": 1.5637941410604206, + "learning_rate": 3.0081438641672334e-06, + "loss": 0.7998, + "step": 32007 + }, + { + "epoch": 0.75, + "grad_norm": 1.6077726671995602, + "learning_rate": 3.0075983558001898e-06, + "loss": 0.7953, + "step": 32008 + }, + { + "epoch": 0.75, + "grad_norm": 1.631700120364155, + "learning_rate": 3.00705288814512e-06, + "loss": 0.6749, + "step": 32009 + }, + { + "epoch": 0.75, + "grad_norm": 0.7505768438536753, + "learning_rate": 3.0065074612052024e-06, + "loss": 0.7173, + "step": 32010 + }, + { + "epoch": 0.75, + "grad_norm": 0.7550626241195678, + "learning_rate": 3.0059620749836182e-06, + "loss": 0.6729, + "step": 32011 + }, + { + "epoch": 0.75, + "grad_norm": 0.7406074442026398, + "learning_rate": 3.0054167294835314e-06, + "loss": 0.7223, + "step": 32012 + }, + { + "epoch": 0.75, + "grad_norm": 1.5996792361222552, + "learning_rate": 3.004871424708121e-06, + "loss": 0.7985, + "step": 32013 + }, + { + "epoch": 0.75, + "grad_norm": 1.4497734629088517, + "learning_rate": 3.0043261606605656e-06, + "loss": 0.8314, + "step": 32014 + }, + { + "epoch": 0.75, + "grad_norm": 0.7436685801049813, + "learning_rate": 3.003780937344044e-06, + "loss": 0.6636, + "step": 32015 + }, + { + "epoch": 0.75, + "grad_norm": 1.9350086906480368, + "learning_rate": 3.0032357547617187e-06, + "loss": 0.8656, + "step": 32016 + }, + { + "epoch": 0.75, + "grad_norm": 1.5680538322781201, + "learning_rate": 3.00269061291677e-06, + "loss": 0.8548, + "step": 32017 + }, + { + "epoch": 0.75, + "grad_norm": 1.9747418805523609, + "learning_rate": 3.0021455118123745e-06, + "loss": 0.8767, + "step": 32018 + }, + { + "epoch": 0.75, + "grad_norm": 1.663739068562192, + "learning_rate": 3.0016004514517005e-06, + "loss": 0.8368, + "step": 32019 + }, + { + "epoch": 0.75, + "grad_norm": 1.4933190342724276, + "learning_rate": 3.001055431837927e-06, + "loss": 0.8116, + "step": 32020 + }, + { + "epoch": 0.75, + "grad_norm": 1.978982648042938, + "learning_rate": 3.0005104529742214e-06, + "loss": 0.8973, + "step": 32021 + }, + { + "epoch": 0.75, + "grad_norm": 1.5922873841753828, + "learning_rate": 2.999965514863764e-06, + "loss": 0.8365, + "step": 32022 + }, + { + "epoch": 0.75, + "grad_norm": 1.6970101422531918, + "learning_rate": 2.9994206175097196e-06, + "loss": 0.8681, + "step": 32023 + }, + { + "epoch": 0.75, + "grad_norm": 2.0745460464798504, + "learning_rate": 2.9988757609152686e-06, + "loss": 0.8667, + "step": 32024 + }, + { + "epoch": 0.75, + "grad_norm": 1.7732619362332869, + "learning_rate": 2.9983309450835785e-06, + "loss": 0.7588, + "step": 32025 + }, + { + "epoch": 0.75, + "grad_norm": 2.488800888287776, + "learning_rate": 2.9977861700178202e-06, + "loss": 0.7948, + "step": 32026 + }, + { + "epoch": 0.75, + "grad_norm": 2.462750315793651, + "learning_rate": 2.9972414357211667e-06, + "loss": 0.9518, + "step": 32027 + }, + { + "epoch": 0.75, + "grad_norm": 1.6407705821076901, + "learning_rate": 2.996696742196794e-06, + "loss": 0.8118, + "step": 32028 + }, + { + "epoch": 0.75, + "grad_norm": 1.40991044649216, + "learning_rate": 2.9961520894478703e-06, + "loss": 0.843, + "step": 32029 + }, + { + "epoch": 0.75, + "grad_norm": 1.3736011839383717, + "learning_rate": 2.9956074774775636e-06, + "loss": 0.7373, + "step": 32030 + }, + { + "epoch": 0.75, + "grad_norm": 1.6841611077000351, + "learning_rate": 2.995062906289047e-06, + "loss": 0.6156, + "step": 32031 + }, + { + "epoch": 0.75, + "grad_norm": 1.4024283270630744, + "learning_rate": 2.9945183758854956e-06, + "loss": 0.8465, + "step": 32032 + }, + { + "epoch": 0.75, + "grad_norm": 1.464289014184624, + "learning_rate": 2.9939738862700764e-06, + "loss": 0.8692, + "step": 32033 + }, + { + "epoch": 0.75, + "grad_norm": 1.5426893447361032, + "learning_rate": 2.9934294374459548e-06, + "loss": 0.6329, + "step": 32034 + }, + { + "epoch": 0.75, + "grad_norm": 0.7683652220865892, + "learning_rate": 2.992885029416307e-06, + "loss": 0.6916, + "step": 32035 + }, + { + "epoch": 0.75, + "grad_norm": 2.617635741165083, + "learning_rate": 2.9923406621843034e-06, + "loss": 0.9436, + "step": 32036 + }, + { + "epoch": 0.75, + "grad_norm": 1.7143818539664488, + "learning_rate": 2.9917963357531112e-06, + "loss": 0.7304, + "step": 32037 + }, + { + "epoch": 0.75, + "grad_norm": 1.4577126816902335, + "learning_rate": 2.9912520501258958e-06, + "loss": 0.7165, + "step": 32038 + }, + { + "epoch": 0.75, + "grad_norm": 1.813708591009949, + "learning_rate": 2.9907078053058325e-06, + "loss": 0.8249, + "step": 32039 + }, + { + "epoch": 0.75, + "grad_norm": 1.5856064420963774, + "learning_rate": 2.9901636012960856e-06, + "loss": 0.8141, + "step": 32040 + }, + { + "epoch": 0.75, + "grad_norm": 0.747350011424818, + "learning_rate": 2.9896194380998276e-06, + "loss": 0.6942, + "step": 32041 + }, + { + "epoch": 0.75, + "grad_norm": 2.5846494911229128, + "learning_rate": 2.989075315720222e-06, + "loss": 0.7776, + "step": 32042 + }, + { + "epoch": 0.75, + "grad_norm": 0.7645801638019005, + "learning_rate": 2.988531234160443e-06, + "loss": 0.7398, + "step": 32043 + }, + { + "epoch": 0.75, + "grad_norm": 1.5608831753903838, + "learning_rate": 2.9879871934236525e-06, + "loss": 0.8842, + "step": 32044 + }, + { + "epoch": 0.75, + "grad_norm": 1.771656129943726, + "learning_rate": 2.9874431935130223e-06, + "loss": 0.9022, + "step": 32045 + }, + { + "epoch": 0.75, + "grad_norm": 1.635130192049915, + "learning_rate": 2.9868992344317184e-06, + "loss": 0.9679, + "step": 32046 + }, + { + "epoch": 0.76, + "grad_norm": 0.8436667639063196, + "learning_rate": 2.986355316182905e-06, + "loss": 0.717, + "step": 32047 + }, + { + "epoch": 0.76, + "grad_norm": 2.6285168146009057, + "learning_rate": 2.98581143876975e-06, + "loss": 0.8147, + "step": 32048 + }, + { + "epoch": 0.76, + "grad_norm": 1.6044594363361653, + "learning_rate": 2.985267602195426e-06, + "loss": 0.8283, + "step": 32049 + }, + { + "epoch": 0.76, + "grad_norm": 1.5017369528503868, + "learning_rate": 2.9847238064630947e-06, + "loss": 0.8871, + "step": 32050 + }, + { + "epoch": 0.76, + "grad_norm": 1.5461900382232239, + "learning_rate": 2.984180051575918e-06, + "loss": 0.9029, + "step": 32051 + }, + { + "epoch": 0.76, + "grad_norm": 1.5951835003387087, + "learning_rate": 2.983636337537067e-06, + "loss": 0.8077, + "step": 32052 + }, + { + "epoch": 0.76, + "grad_norm": 1.8569229097081543, + "learning_rate": 2.9830926643497106e-06, + "loss": 0.847, + "step": 32053 + }, + { + "epoch": 0.76, + "grad_norm": 1.9023173657506491, + "learning_rate": 2.982549032017009e-06, + "loss": 0.7769, + "step": 32054 + }, + { + "epoch": 0.76, + "grad_norm": 1.907779213300474, + "learning_rate": 2.9820054405421263e-06, + "loss": 0.7393, + "step": 32055 + }, + { + "epoch": 0.76, + "grad_norm": 1.495436197236124, + "learning_rate": 2.981461889928229e-06, + "loss": 0.902, + "step": 32056 + }, + { + "epoch": 0.76, + "grad_norm": 1.703582894688267, + "learning_rate": 2.980918380178486e-06, + "loss": 0.8515, + "step": 32057 + }, + { + "epoch": 0.76, + "grad_norm": 1.6277248228849395, + "learning_rate": 2.980374911296058e-06, + "loss": 0.8235, + "step": 32058 + }, + { + "epoch": 0.76, + "grad_norm": 0.7775499727250399, + "learning_rate": 2.979831483284107e-06, + "loss": 0.7215, + "step": 32059 + }, + { + "epoch": 0.76, + "grad_norm": 1.5676495156552943, + "learning_rate": 2.9792880961458028e-06, + "loss": 0.8178, + "step": 32060 + }, + { + "epoch": 0.76, + "grad_norm": 3.456829192027114, + "learning_rate": 2.9787447498843024e-06, + "loss": 0.7334, + "step": 32061 + }, + { + "epoch": 0.76, + "grad_norm": 1.5619543427756934, + "learning_rate": 2.9782014445027774e-06, + "loss": 0.8142, + "step": 32062 + }, + { + "epoch": 0.76, + "grad_norm": 1.5371583891931155, + "learning_rate": 2.9776581800043823e-06, + "loss": 0.7827, + "step": 32063 + }, + { + "epoch": 0.76, + "grad_norm": 1.7620324899995934, + "learning_rate": 2.9771149563922884e-06, + "loss": 0.9475, + "step": 32064 + }, + { + "epoch": 0.76, + "grad_norm": 2.593655926702363, + "learning_rate": 2.9765717736696507e-06, + "loss": 0.7276, + "step": 32065 + }, + { + "epoch": 0.76, + "grad_norm": 1.6287674121083675, + "learning_rate": 2.9760286318396394e-06, + "loss": 0.8685, + "step": 32066 + }, + { + "epoch": 0.76, + "grad_norm": 1.733135695239416, + "learning_rate": 2.975485530905413e-06, + "loss": 0.8762, + "step": 32067 + }, + { + "epoch": 0.76, + "grad_norm": 2.0423312801711684, + "learning_rate": 2.9749424708701313e-06, + "loss": 0.8287, + "step": 32068 + }, + { + "epoch": 0.76, + "grad_norm": 1.7493638857486442, + "learning_rate": 2.9743994517369577e-06, + "loss": 0.8853, + "step": 32069 + }, + { + "epoch": 0.76, + "grad_norm": 0.747490593826454, + "learning_rate": 2.973856473509058e-06, + "loss": 0.7615, + "step": 32070 + }, + { + "epoch": 0.76, + "grad_norm": 0.7860424157482293, + "learning_rate": 2.9733135361895905e-06, + "loss": 0.7242, + "step": 32071 + }, + { + "epoch": 0.76, + "grad_norm": 1.6011318016727567, + "learning_rate": 2.9727706397817136e-06, + "loss": 0.8742, + "step": 32072 + }, + { + "epoch": 0.76, + "grad_norm": 2.0452359446735446, + "learning_rate": 2.9722277842885893e-06, + "loss": 0.8651, + "step": 32073 + }, + { + "epoch": 0.76, + "grad_norm": 1.714073121945386, + "learning_rate": 2.971684969713384e-06, + "loss": 0.8689, + "step": 32074 + }, + { + "epoch": 0.76, + "grad_norm": 2.3482965382282273, + "learning_rate": 2.9711421960592546e-06, + "loss": 0.891, + "step": 32075 + }, + { + "epoch": 0.76, + "grad_norm": 1.6772468342876603, + "learning_rate": 2.9705994633293567e-06, + "loss": 0.8563, + "step": 32076 + }, + { + "epoch": 0.76, + "grad_norm": 0.7143461851745847, + "learning_rate": 2.9700567715268546e-06, + "loss": 0.7419, + "step": 32077 + }, + { + "epoch": 0.76, + "grad_norm": 1.868053679537811, + "learning_rate": 2.9695141206549107e-06, + "loss": 0.8158, + "step": 32078 + }, + { + "epoch": 0.76, + "grad_norm": 1.6705876778489108, + "learning_rate": 2.9689715107166806e-06, + "loss": 0.7493, + "step": 32079 + }, + { + "epoch": 0.76, + "grad_norm": 1.446029075566809, + "learning_rate": 2.968428941715321e-06, + "loss": 0.7154, + "step": 32080 + }, + { + "epoch": 0.76, + "grad_norm": 1.4882985927972732, + "learning_rate": 2.9678864136539985e-06, + "loss": 0.8701, + "step": 32081 + }, + { + "epoch": 0.76, + "grad_norm": 1.7425167842767102, + "learning_rate": 2.967343926535864e-06, + "loss": 0.9041, + "step": 32082 + }, + { + "epoch": 0.76, + "grad_norm": 2.0176745326758287, + "learning_rate": 2.966801480364083e-06, + "loss": 0.8607, + "step": 32083 + }, + { + "epoch": 0.76, + "grad_norm": 2.0880689795562324, + "learning_rate": 2.9662590751418075e-06, + "loss": 0.9072, + "step": 32084 + }, + { + "epoch": 0.76, + "grad_norm": 1.4561686928505202, + "learning_rate": 2.9657167108722018e-06, + "loss": 0.7561, + "step": 32085 + }, + { + "epoch": 0.76, + "grad_norm": 1.638696839245576, + "learning_rate": 2.965174387558416e-06, + "loss": 0.7764, + "step": 32086 + }, + { + "epoch": 0.76, + "grad_norm": 1.6484694190728841, + "learning_rate": 2.9646321052036164e-06, + "loss": 0.9331, + "step": 32087 + }, + { + "epoch": 0.76, + "grad_norm": 1.6477507322128846, + "learning_rate": 2.964089863810956e-06, + "loss": 0.8686, + "step": 32088 + }, + { + "epoch": 0.76, + "grad_norm": 0.7519324007793432, + "learning_rate": 2.9635476633835893e-06, + "loss": 0.7115, + "step": 32089 + }, + { + "epoch": 0.76, + "grad_norm": 1.516948050527072, + "learning_rate": 2.963005503924674e-06, + "loss": 0.8619, + "step": 32090 + }, + { + "epoch": 0.76, + "grad_norm": 1.4974057204003899, + "learning_rate": 2.962463385437373e-06, + "loss": 0.8131, + "step": 32091 + }, + { + "epoch": 0.76, + "grad_norm": 1.4013184472074747, + "learning_rate": 2.961921307924838e-06, + "loss": 0.8286, + "step": 32092 + }, + { + "epoch": 0.76, + "grad_norm": 1.6344460658172713, + "learning_rate": 2.961379271390222e-06, + "loss": 0.7556, + "step": 32093 + }, + { + "epoch": 0.76, + "grad_norm": 1.6956874941103466, + "learning_rate": 2.9608372758366842e-06, + "loss": 0.7962, + "step": 32094 + }, + { + "epoch": 0.76, + "grad_norm": 1.7209954023021594, + "learning_rate": 2.9602953212673813e-06, + "loss": 0.8566, + "step": 32095 + }, + { + "epoch": 0.76, + "grad_norm": 1.4805929361407366, + "learning_rate": 2.959753407685473e-06, + "loss": 0.8525, + "step": 32096 + }, + { + "epoch": 0.76, + "grad_norm": 0.7329544506135445, + "learning_rate": 2.9592115350941032e-06, + "loss": 0.6819, + "step": 32097 + }, + { + "epoch": 0.76, + "grad_norm": 1.5856067252224622, + "learning_rate": 2.958669703496434e-06, + "loss": 0.8412, + "step": 32098 + }, + { + "epoch": 0.76, + "grad_norm": 1.5846158557332723, + "learning_rate": 2.958127912895621e-06, + "loss": 0.8486, + "step": 32099 + }, + { + "epoch": 0.76, + "grad_norm": 1.60497299423398, + "learning_rate": 2.9575861632948168e-06, + "loss": 0.8234, + "step": 32100 + }, + { + "epoch": 0.76, + "grad_norm": 1.6158373504832566, + "learning_rate": 2.957044454697172e-06, + "loss": 0.8523, + "step": 32101 + }, + { + "epoch": 0.76, + "grad_norm": 1.588755859781262, + "learning_rate": 2.956502787105845e-06, + "loss": 0.8226, + "step": 32102 + }, + { + "epoch": 0.76, + "grad_norm": 1.4567901895743671, + "learning_rate": 2.9559611605239914e-06, + "loss": 0.8668, + "step": 32103 + }, + { + "epoch": 0.76, + "grad_norm": 1.6330062693698781, + "learning_rate": 2.955419574954762e-06, + "loss": 0.8161, + "step": 32104 + }, + { + "epoch": 0.76, + "grad_norm": 1.7141184449778215, + "learning_rate": 2.954878030401308e-06, + "loss": 0.82, + "step": 32105 + }, + { + "epoch": 0.76, + "grad_norm": 1.6864421458323993, + "learning_rate": 2.9543365268667866e-06, + "loss": 0.8234, + "step": 32106 + }, + { + "epoch": 0.76, + "grad_norm": 1.710170047082658, + "learning_rate": 2.9537950643543455e-06, + "loss": 0.7966, + "step": 32107 + }, + { + "epoch": 0.76, + "grad_norm": 1.5563603402784065, + "learning_rate": 2.953253642867141e-06, + "loss": 0.8872, + "step": 32108 + }, + { + "epoch": 0.76, + "grad_norm": 1.5901542713706653, + "learning_rate": 2.952712262408327e-06, + "loss": 0.8627, + "step": 32109 + }, + { + "epoch": 0.76, + "grad_norm": 1.593330503016378, + "learning_rate": 2.9521709229810535e-06, + "loss": 0.7483, + "step": 32110 + }, + { + "epoch": 0.76, + "grad_norm": 2.6574150996508727, + "learning_rate": 2.951629624588469e-06, + "loss": 0.8017, + "step": 32111 + }, + { + "epoch": 0.76, + "grad_norm": 1.5969465195732448, + "learning_rate": 2.951088367233729e-06, + "loss": 0.7799, + "step": 32112 + }, + { + "epoch": 0.76, + "grad_norm": 2.065593757352318, + "learning_rate": 2.95054715091999e-06, + "loss": 0.8078, + "step": 32113 + }, + { + "epoch": 0.76, + "grad_norm": 1.338545252128151, + "learning_rate": 2.9500059756503907e-06, + "loss": 0.8388, + "step": 32114 + }, + { + "epoch": 0.76, + "grad_norm": 1.4780151869713736, + "learning_rate": 2.949464841428089e-06, + "loss": 0.8203, + "step": 32115 + }, + { + "epoch": 0.76, + "grad_norm": 0.8034893280928254, + "learning_rate": 2.948923748256236e-06, + "loss": 0.7021, + "step": 32116 + }, + { + "epoch": 0.76, + "grad_norm": 1.551823669358586, + "learning_rate": 2.9483826961379837e-06, + "loss": 0.7835, + "step": 32117 + }, + { + "epoch": 0.76, + "grad_norm": 1.6607316222707746, + "learning_rate": 2.947841685076479e-06, + "loss": 0.7717, + "step": 32118 + }, + { + "epoch": 0.76, + "grad_norm": 1.7166343457663027, + "learning_rate": 2.94730071507487e-06, + "loss": 0.8707, + "step": 32119 + }, + { + "epoch": 0.76, + "grad_norm": 1.9361243051578014, + "learning_rate": 2.946759786136313e-06, + "loss": 0.7833, + "step": 32120 + }, + { + "epoch": 0.76, + "grad_norm": 1.5821660413393273, + "learning_rate": 2.9462188982639494e-06, + "loss": 0.8884, + "step": 32121 + }, + { + "epoch": 0.76, + "grad_norm": 1.541002941944384, + "learning_rate": 2.9456780514609364e-06, + "loss": 0.7798, + "step": 32122 + }, + { + "epoch": 0.76, + "grad_norm": 1.5473083851507285, + "learning_rate": 2.9451372457304163e-06, + "loss": 0.7431, + "step": 32123 + }, + { + "epoch": 0.76, + "grad_norm": 1.4932579606036176, + "learning_rate": 2.944596481075542e-06, + "loss": 0.7879, + "step": 32124 + }, + { + "epoch": 0.76, + "grad_norm": 1.663837353828135, + "learning_rate": 2.94405575749946e-06, + "loss": 0.7727, + "step": 32125 + }, + { + "epoch": 0.76, + "grad_norm": 0.7817763194057371, + "learning_rate": 2.943515075005321e-06, + "loss": 0.6764, + "step": 32126 + }, + { + "epoch": 0.76, + "grad_norm": 1.913816278997644, + "learning_rate": 2.9429744335962717e-06, + "loss": 0.895, + "step": 32127 + }, + { + "epoch": 0.76, + "grad_norm": 1.7048892050544158, + "learning_rate": 2.9424338332754553e-06, + "loss": 0.8264, + "step": 32128 + }, + { + "epoch": 0.76, + "grad_norm": 1.5374751712462322, + "learning_rate": 2.941893274046025e-06, + "loss": 0.6767, + "step": 32129 + }, + { + "epoch": 0.76, + "grad_norm": 0.714887495905764, + "learning_rate": 2.941352755911129e-06, + "loss": 0.6567, + "step": 32130 + }, + { + "epoch": 0.76, + "grad_norm": 1.575664582062448, + "learning_rate": 2.9408122788739124e-06, + "loss": 0.7833, + "step": 32131 + }, + { + "epoch": 0.76, + "grad_norm": 1.4969604064627902, + "learning_rate": 2.940271842937518e-06, + "loss": 0.7403, + "step": 32132 + }, + { + "epoch": 0.76, + "grad_norm": 1.5943329895054312, + "learning_rate": 2.9397314481050953e-06, + "loss": 0.9471, + "step": 32133 + }, + { + "epoch": 0.76, + "grad_norm": 1.6506101144550316, + "learning_rate": 2.9391910943797963e-06, + "loss": 0.859, + "step": 32134 + }, + { + "epoch": 0.76, + "grad_norm": 1.5649291331870736, + "learning_rate": 2.93865078176476e-06, + "loss": 0.8586, + "step": 32135 + }, + { + "epoch": 0.76, + "grad_norm": 1.4736074225393212, + "learning_rate": 2.9381105102631334e-06, + "loss": 0.8289, + "step": 32136 + }, + { + "epoch": 0.76, + "grad_norm": 1.6066729306433818, + "learning_rate": 2.9375702798780626e-06, + "loss": 0.8379, + "step": 32137 + }, + { + "epoch": 0.76, + "grad_norm": 1.8648745040164028, + "learning_rate": 2.937030090612696e-06, + "loss": 0.8832, + "step": 32138 + }, + { + "epoch": 0.76, + "grad_norm": 2.2545308321208806, + "learning_rate": 2.9364899424701765e-06, + "loss": 0.6592, + "step": 32139 + }, + { + "epoch": 0.76, + "grad_norm": 1.9430153571000564, + "learning_rate": 2.9359498354536465e-06, + "loss": 0.782, + "step": 32140 + }, + { + "epoch": 0.76, + "grad_norm": 1.4314138992762275, + "learning_rate": 2.935409769566255e-06, + "loss": 0.7513, + "step": 32141 + }, + { + "epoch": 0.76, + "grad_norm": 1.6529687721368236, + "learning_rate": 2.934869744811142e-06, + "loss": 0.8204, + "step": 32142 + }, + { + "epoch": 0.76, + "grad_norm": 0.7707508265265338, + "learning_rate": 2.934329761191457e-06, + "loss": 0.6219, + "step": 32143 + }, + { + "epoch": 0.76, + "grad_norm": 1.7317514905582814, + "learning_rate": 2.9337898187103374e-06, + "loss": 0.7623, + "step": 32144 + }, + { + "epoch": 0.76, + "grad_norm": 2.0746367368945737, + "learning_rate": 2.933249917370935e-06, + "loss": 0.8596, + "step": 32145 + }, + { + "epoch": 0.76, + "grad_norm": 1.7103785708474852, + "learning_rate": 2.9327100571763843e-06, + "loss": 0.8603, + "step": 32146 + }, + { + "epoch": 0.76, + "grad_norm": 1.5507813793435752, + "learning_rate": 2.9321702381298378e-06, + "loss": 0.8054, + "step": 32147 + }, + { + "epoch": 0.76, + "grad_norm": 1.3265980261119592, + "learning_rate": 2.9316304602344324e-06, + "loss": 0.805, + "step": 32148 + }, + { + "epoch": 0.76, + "grad_norm": 8.964192579791654, + "learning_rate": 2.9310907234933104e-06, + "loss": 0.8389, + "step": 32149 + }, + { + "epoch": 0.76, + "grad_norm": 1.805290863574419, + "learning_rate": 2.930551027909615e-06, + "loss": 0.8158, + "step": 32150 + }, + { + "epoch": 0.76, + "grad_norm": 1.501828898822335, + "learning_rate": 2.930011373486494e-06, + "loss": 0.8766, + "step": 32151 + }, + { + "epoch": 0.76, + "grad_norm": 0.7802958792958163, + "learning_rate": 2.9294717602270837e-06, + "loss": 0.7493, + "step": 32152 + }, + { + "epoch": 0.76, + "grad_norm": 1.3896563513658462, + "learning_rate": 2.9289321881345257e-06, + "loss": 0.8164, + "step": 32153 + }, + { + "epoch": 0.76, + "grad_norm": 2.011088224448752, + "learning_rate": 2.9283926572119625e-06, + "loss": 0.6983, + "step": 32154 + }, + { + "epoch": 0.76, + "grad_norm": 1.498674377435085, + "learning_rate": 2.927853167462539e-06, + "loss": 0.8426, + "step": 32155 + }, + { + "epoch": 0.76, + "grad_norm": 1.542318205598442, + "learning_rate": 2.927313718889393e-06, + "loss": 0.8754, + "step": 32156 + }, + { + "epoch": 0.76, + "grad_norm": 1.6608366514767858, + "learning_rate": 2.9267743114956635e-06, + "loss": 0.8049, + "step": 32157 + }, + { + "epoch": 0.76, + "grad_norm": 0.7251013971241871, + "learning_rate": 2.926234945284493e-06, + "loss": 0.6877, + "step": 32158 + }, + { + "epoch": 0.76, + "grad_norm": 1.7788027050369533, + "learning_rate": 2.9256956202590248e-06, + "loss": 0.7962, + "step": 32159 + }, + { + "epoch": 0.76, + "grad_norm": 2.0708458517933703, + "learning_rate": 2.9251563364223967e-06, + "loss": 0.7993, + "step": 32160 + }, + { + "epoch": 0.76, + "grad_norm": 2.0927407221655687, + "learning_rate": 2.924617093777745e-06, + "loss": 0.8038, + "step": 32161 + }, + { + "epoch": 0.76, + "grad_norm": 1.669856324289624, + "learning_rate": 2.9240778923282163e-06, + "loss": 0.8583, + "step": 32162 + }, + { + "epoch": 0.76, + "grad_norm": 1.6198350205877432, + "learning_rate": 2.9235387320769427e-06, + "loss": 0.935, + "step": 32163 + }, + { + "epoch": 0.76, + "grad_norm": 2.3133309936784316, + "learning_rate": 2.92299961302707e-06, + "loss": 0.8383, + "step": 32164 + }, + { + "epoch": 0.76, + "grad_norm": 0.7616863402592225, + "learning_rate": 2.9224605351817314e-06, + "loss": 0.7003, + "step": 32165 + }, + { + "epoch": 0.76, + "grad_norm": 1.4877835253059635, + "learning_rate": 2.9219214985440715e-06, + "loss": 0.8266, + "step": 32166 + }, + { + "epoch": 0.76, + "grad_norm": 1.682412670479461, + "learning_rate": 2.9213825031172216e-06, + "loss": 0.805, + "step": 32167 + }, + { + "epoch": 0.76, + "grad_norm": 1.5997370304285248, + "learning_rate": 2.9208435489043276e-06, + "loss": 0.8354, + "step": 32168 + }, + { + "epoch": 0.76, + "grad_norm": 1.810413863667481, + "learning_rate": 2.920304635908524e-06, + "loss": 0.9058, + "step": 32169 + }, + { + "epoch": 0.76, + "grad_norm": 1.5082451127261598, + "learning_rate": 2.9197657641329447e-06, + "loss": 0.8795, + "step": 32170 + }, + { + "epoch": 0.76, + "grad_norm": 1.6253648091466677, + "learning_rate": 2.91922693358073e-06, + "loss": 1.0205, + "step": 32171 + }, + { + "epoch": 0.76, + "grad_norm": 1.8650518014534248, + "learning_rate": 2.918688144255022e-06, + "loss": 0.7372, + "step": 32172 + }, + { + "epoch": 0.76, + "grad_norm": 1.7190776345546481, + "learning_rate": 2.9181493961589526e-06, + "loss": 0.8715, + "step": 32173 + }, + { + "epoch": 0.76, + "grad_norm": 0.7545454000177654, + "learning_rate": 2.917610689295657e-06, + "loss": 0.6495, + "step": 32174 + }, + { + "epoch": 0.76, + "grad_norm": 1.804621169471203, + "learning_rate": 2.9170720236682737e-06, + "loss": 0.8066, + "step": 32175 + }, + { + "epoch": 0.76, + "grad_norm": 1.693331744343695, + "learning_rate": 2.9165333992799428e-06, + "loss": 0.7501, + "step": 32176 + }, + { + "epoch": 0.76, + "grad_norm": 1.7002738917565405, + "learning_rate": 2.915994816133797e-06, + "loss": 0.8927, + "step": 32177 + }, + { + "epoch": 0.76, + "grad_norm": 1.5933956460366205, + "learning_rate": 2.9154562742329695e-06, + "loss": 0.919, + "step": 32178 + }, + { + "epoch": 0.76, + "grad_norm": 1.4999242209857584, + "learning_rate": 2.9149177735805977e-06, + "loss": 0.92, + "step": 32179 + }, + { + "epoch": 0.76, + "grad_norm": 0.7653426000510115, + "learning_rate": 2.9143793141798214e-06, + "loss": 0.7185, + "step": 32180 + }, + { + "epoch": 0.76, + "grad_norm": 1.403009206309841, + "learning_rate": 2.9138408960337725e-06, + "loss": 0.7242, + "step": 32181 + }, + { + "epoch": 0.76, + "grad_norm": 1.4862365547591088, + "learning_rate": 2.913302519145582e-06, + "loss": 0.8297, + "step": 32182 + }, + { + "epoch": 0.76, + "grad_norm": 1.6038615080072696, + "learning_rate": 2.9127641835183906e-06, + "loss": 0.7699, + "step": 32183 + }, + { + "epoch": 0.76, + "grad_norm": 1.5915935427081207, + "learning_rate": 2.912225889155327e-06, + "loss": 0.8024, + "step": 32184 + }, + { + "epoch": 0.76, + "grad_norm": 2.029800505728631, + "learning_rate": 2.9116876360595304e-06, + "loss": 0.8659, + "step": 32185 + }, + { + "epoch": 0.76, + "grad_norm": 1.709088329491362, + "learning_rate": 2.9111494242341297e-06, + "loss": 0.8071, + "step": 32186 + }, + { + "epoch": 0.76, + "grad_norm": 1.5225154392945632, + "learning_rate": 2.910611253682265e-06, + "loss": 0.8223, + "step": 32187 + }, + { + "epoch": 0.76, + "grad_norm": 1.649891904701666, + "learning_rate": 2.9100731244070635e-06, + "loss": 0.88, + "step": 32188 + }, + { + "epoch": 0.76, + "grad_norm": 0.7290563181274947, + "learning_rate": 2.909535036411664e-06, + "loss": 0.6661, + "step": 32189 + }, + { + "epoch": 0.76, + "grad_norm": 1.550648710724822, + "learning_rate": 2.9089969896991956e-06, + "loss": 0.7504, + "step": 32190 + }, + { + "epoch": 0.76, + "grad_norm": 1.450354607138661, + "learning_rate": 2.9084589842727883e-06, + "loss": 0.8796, + "step": 32191 + }, + { + "epoch": 0.76, + "grad_norm": 1.4533763081434576, + "learning_rate": 2.907921020135578e-06, + "loss": 0.8802, + "step": 32192 + }, + { + "epoch": 0.76, + "grad_norm": 1.4652551761058727, + "learning_rate": 2.907383097290697e-06, + "loss": 0.724, + "step": 32193 + }, + { + "epoch": 0.76, + "grad_norm": 1.6486762422518173, + "learning_rate": 2.906845215741283e-06, + "loss": 0.8707, + "step": 32194 + }, + { + "epoch": 0.76, + "grad_norm": 1.587211409477784, + "learning_rate": 2.906307375490457e-06, + "loss": 0.838, + "step": 32195 + }, + { + "epoch": 0.76, + "grad_norm": 2.050103631041777, + "learning_rate": 2.905769576541354e-06, + "loss": 0.8961, + "step": 32196 + }, + { + "epoch": 0.76, + "grad_norm": 1.6678376402083317, + "learning_rate": 2.9052318188971097e-06, + "loss": 0.9003, + "step": 32197 + }, + { + "epoch": 0.76, + "grad_norm": 1.5933715057001872, + "learning_rate": 2.904694102560852e-06, + "loss": 0.7975, + "step": 32198 + }, + { + "epoch": 0.76, + "grad_norm": 1.6054488051975646, + "learning_rate": 2.904156427535709e-06, + "loss": 0.8908, + "step": 32199 + }, + { + "epoch": 0.76, + "grad_norm": 1.5040117335560137, + "learning_rate": 2.9036187938248126e-06, + "loss": 0.8617, + "step": 32200 + }, + { + "epoch": 0.76, + "grad_norm": 1.7228418236613885, + "learning_rate": 2.903081201431299e-06, + "loss": 0.8158, + "step": 32201 + }, + { + "epoch": 0.76, + "grad_norm": 1.5553960379953928, + "learning_rate": 2.9025436503582893e-06, + "loss": 0.8413, + "step": 32202 + }, + { + "epoch": 0.76, + "grad_norm": 1.6115566177450769, + "learning_rate": 2.9020061406089207e-06, + "loss": 0.8129, + "step": 32203 + }, + { + "epoch": 0.76, + "grad_norm": 1.5944987544314204, + "learning_rate": 2.9014686721863192e-06, + "loss": 0.8857, + "step": 32204 + }, + { + "epoch": 0.76, + "grad_norm": 1.5786043823417908, + "learning_rate": 2.900931245093612e-06, + "loss": 0.8495, + "step": 32205 + }, + { + "epoch": 0.76, + "grad_norm": 1.5686207902454368, + "learning_rate": 2.900393859333931e-06, + "loss": 0.9306, + "step": 32206 + }, + { + "epoch": 0.76, + "grad_norm": 1.5834486196940278, + "learning_rate": 2.8998565149104075e-06, + "loss": 0.8068, + "step": 32207 + }, + { + "epoch": 0.76, + "grad_norm": 1.8591627426005939, + "learning_rate": 2.899319211826167e-06, + "loss": 0.7982, + "step": 32208 + }, + { + "epoch": 0.76, + "grad_norm": 1.5853765478983013, + "learning_rate": 2.898781950084335e-06, + "loss": 0.7893, + "step": 32209 + }, + { + "epoch": 0.76, + "grad_norm": 1.614377747734403, + "learning_rate": 2.8982447296880423e-06, + "loss": 0.8172, + "step": 32210 + }, + { + "epoch": 0.76, + "grad_norm": 1.6484322834906933, + "learning_rate": 2.897707550640424e-06, + "loss": 0.8717, + "step": 32211 + }, + { + "epoch": 0.76, + "grad_norm": 1.7052590106716323, + "learning_rate": 2.8971704129445944e-06, + "loss": 0.84, + "step": 32212 + }, + { + "epoch": 0.76, + "grad_norm": 1.7023682546060979, + "learning_rate": 2.8966333166036864e-06, + "loss": 0.8999, + "step": 32213 + }, + { + "epoch": 0.76, + "grad_norm": 1.537780971057724, + "learning_rate": 2.89609626162083e-06, + "loss": 0.7576, + "step": 32214 + }, + { + "epoch": 0.76, + "grad_norm": 1.7395124928841097, + "learning_rate": 2.8955592479991524e-06, + "loss": 0.8656, + "step": 32215 + }, + { + "epoch": 0.76, + "grad_norm": 1.7095310386070015, + "learning_rate": 2.895022275741778e-06, + "loss": 0.8565, + "step": 32216 + }, + { + "epoch": 0.76, + "grad_norm": 1.4831219440039822, + "learning_rate": 2.8944853448518295e-06, + "loss": 0.7982, + "step": 32217 + }, + { + "epoch": 0.76, + "grad_norm": 1.581242851774605, + "learning_rate": 2.893948455332438e-06, + "loss": 0.8062, + "step": 32218 + }, + { + "epoch": 0.76, + "grad_norm": 1.4410704543075967, + "learning_rate": 2.8934116071867314e-06, + "loss": 0.9005, + "step": 32219 + }, + { + "epoch": 0.76, + "grad_norm": 1.9097034909438366, + "learning_rate": 2.892874800417832e-06, + "loss": 0.8104, + "step": 32220 + }, + { + "epoch": 0.76, + "grad_norm": 1.65286492537908, + "learning_rate": 2.892338035028862e-06, + "loss": 0.7737, + "step": 32221 + }, + { + "epoch": 0.76, + "grad_norm": 1.7072114468635973, + "learning_rate": 2.8918013110229535e-06, + "loss": 0.9472, + "step": 32222 + }, + { + "epoch": 0.76, + "grad_norm": 1.4706317922228074, + "learning_rate": 2.8912646284032264e-06, + "loss": 0.7721, + "step": 32223 + }, + { + "epoch": 0.76, + "grad_norm": 1.463195513004139, + "learning_rate": 2.890727987172809e-06, + "loss": 0.8914, + "step": 32224 + }, + { + "epoch": 0.76, + "grad_norm": 1.7079974006205436, + "learning_rate": 2.8901913873348208e-06, + "loss": 0.7655, + "step": 32225 + }, + { + "epoch": 0.76, + "grad_norm": 1.5942338672871845, + "learning_rate": 2.889654828892393e-06, + "loss": 0.7947, + "step": 32226 + }, + { + "epoch": 0.76, + "grad_norm": 2.726357585855881, + "learning_rate": 2.889118311848643e-06, + "loss": 0.6484, + "step": 32227 + }, + { + "epoch": 0.76, + "grad_norm": 1.618414551937836, + "learning_rate": 2.8885818362066997e-06, + "loss": 0.7541, + "step": 32228 + }, + { + "epoch": 0.76, + "grad_norm": 1.6182932947418576, + "learning_rate": 2.8880454019696846e-06, + "loss": 0.7966, + "step": 32229 + }, + { + "epoch": 0.76, + "grad_norm": 1.518445200112405, + "learning_rate": 2.8875090091407187e-06, + "loss": 0.8074, + "step": 32230 + }, + { + "epoch": 0.76, + "grad_norm": 1.609715722077438, + "learning_rate": 2.8869726577229264e-06, + "loss": 0.7984, + "step": 32231 + }, + { + "epoch": 0.76, + "grad_norm": 2.286323842166511, + "learning_rate": 2.8864363477194336e-06, + "loss": 0.7989, + "step": 32232 + }, + { + "epoch": 0.76, + "grad_norm": 1.6042771877756112, + "learning_rate": 2.8859000791333613e-06, + "loss": 0.8619, + "step": 32233 + }, + { + "epoch": 0.76, + "grad_norm": 1.4535769328340218, + "learning_rate": 2.8853638519678285e-06, + "loss": 0.9301, + "step": 32234 + }, + { + "epoch": 0.76, + "grad_norm": 1.7086885044589204, + "learning_rate": 2.884827666225959e-06, + "loss": 0.9351, + "step": 32235 + }, + { + "epoch": 0.76, + "grad_norm": 1.456085942245219, + "learning_rate": 2.884291521910878e-06, + "loss": 0.8053, + "step": 32236 + }, + { + "epoch": 0.76, + "grad_norm": 1.7783692849624668, + "learning_rate": 2.8837554190257057e-06, + "loss": 0.7605, + "step": 32237 + }, + { + "epoch": 0.76, + "grad_norm": 1.3864008203877511, + "learning_rate": 2.883219357573559e-06, + "loss": 0.7836, + "step": 32238 + }, + { + "epoch": 0.76, + "grad_norm": 1.5353114040266642, + "learning_rate": 2.8826833375575615e-06, + "loss": 0.7124, + "step": 32239 + }, + { + "epoch": 0.76, + "grad_norm": 1.8668055469468068, + "learning_rate": 2.882147358980839e-06, + "loss": 0.7275, + "step": 32240 + }, + { + "epoch": 0.76, + "grad_norm": 1.5678892476307373, + "learning_rate": 2.8816114218465073e-06, + "loss": 0.9085, + "step": 32241 + }, + { + "epoch": 0.76, + "grad_norm": 1.6770922959047148, + "learning_rate": 2.881075526157685e-06, + "loss": 0.9183, + "step": 32242 + }, + { + "epoch": 0.76, + "grad_norm": 1.7335043144967308, + "learning_rate": 2.880539671917497e-06, + "loss": 0.8945, + "step": 32243 + }, + { + "epoch": 0.76, + "grad_norm": 1.7127978569655153, + "learning_rate": 2.880003859129059e-06, + "loss": 0.7899, + "step": 32244 + }, + { + "epoch": 0.76, + "grad_norm": 1.7325989099265127, + "learning_rate": 2.879468087795495e-06, + "loss": 0.8709, + "step": 32245 + }, + { + "epoch": 0.76, + "grad_norm": 0.7010502995418375, + "learning_rate": 2.87893235791992e-06, + "loss": 0.6269, + "step": 32246 + }, + { + "epoch": 0.76, + "grad_norm": 1.6393770893080337, + "learning_rate": 2.8783966695054575e-06, + "loss": 1.0419, + "step": 32247 + }, + { + "epoch": 0.76, + "grad_norm": 1.851457542189568, + "learning_rate": 2.877861022555222e-06, + "loss": 0.7841, + "step": 32248 + }, + { + "epoch": 0.76, + "grad_norm": 1.5123154658981366, + "learning_rate": 2.8773254170723363e-06, + "loss": 0.8439, + "step": 32249 + }, + { + "epoch": 0.76, + "grad_norm": 1.709346768000983, + "learning_rate": 2.876789853059918e-06, + "loss": 0.8752, + "step": 32250 + }, + { + "epoch": 0.76, + "grad_norm": 1.5639828496084653, + "learning_rate": 2.876254330521081e-06, + "loss": 0.8219, + "step": 32251 + }, + { + "epoch": 0.76, + "grad_norm": 1.6399981543496258, + "learning_rate": 2.8757188494589474e-06, + "loss": 0.9333, + "step": 32252 + }, + { + "epoch": 0.76, + "grad_norm": 1.6681601913835387, + "learning_rate": 2.875183409876636e-06, + "loss": 0.8713, + "step": 32253 + }, + { + "epoch": 0.76, + "grad_norm": 1.5054820936322266, + "learning_rate": 2.8746480117772626e-06, + "loss": 0.8704, + "step": 32254 + }, + { + "epoch": 0.76, + "grad_norm": 0.7702945597428478, + "learning_rate": 2.874112655163942e-06, + "loss": 0.6655, + "step": 32255 + }, + { + "epoch": 0.76, + "grad_norm": 1.566093854186186, + "learning_rate": 2.8735773400397926e-06, + "loss": 0.8879, + "step": 32256 + }, + { + "epoch": 0.76, + "grad_norm": 2.0373847959881584, + "learning_rate": 2.8730420664079363e-06, + "loss": 0.871, + "step": 32257 + }, + { + "epoch": 0.76, + "grad_norm": 1.6968255171695381, + "learning_rate": 2.8725068342714847e-06, + "loss": 0.7434, + "step": 32258 + }, + { + "epoch": 0.76, + "grad_norm": 1.697798516252022, + "learning_rate": 2.871971643633552e-06, + "loss": 0.8343, + "step": 32259 + }, + { + "epoch": 0.76, + "grad_norm": 2.247213910758304, + "learning_rate": 2.871436494497256e-06, + "loss": 0.8382, + "step": 32260 + }, + { + "epoch": 0.76, + "grad_norm": 1.5337461479739798, + "learning_rate": 2.8709013868657186e-06, + "loss": 0.7507, + "step": 32261 + }, + { + "epoch": 0.76, + "grad_norm": 1.7983578706256516, + "learning_rate": 2.8703663207420494e-06, + "loss": 0.8061, + "step": 32262 + }, + { + "epoch": 0.76, + "grad_norm": 3.2127393118032126, + "learning_rate": 2.869831296129362e-06, + "loss": 1.0721, + "step": 32263 + }, + { + "epoch": 0.76, + "grad_norm": 1.5997884314683268, + "learning_rate": 2.869296313030776e-06, + "loss": 0.8008, + "step": 32264 + }, + { + "epoch": 0.76, + "grad_norm": 1.5179701388205653, + "learning_rate": 2.8687613714494023e-06, + "loss": 0.8026, + "step": 32265 + }, + { + "epoch": 0.76, + "grad_norm": 1.6839507854525553, + "learning_rate": 2.868226471388361e-06, + "loss": 0.7422, + "step": 32266 + }, + { + "epoch": 0.76, + "grad_norm": 1.6390842386641489, + "learning_rate": 2.867691612850759e-06, + "loss": 0.7469, + "step": 32267 + }, + { + "epoch": 0.76, + "grad_norm": 0.7444389477353612, + "learning_rate": 2.8671567958397183e-06, + "loss": 0.6962, + "step": 32268 + }, + { + "epoch": 0.76, + "grad_norm": 1.5542379744502266, + "learning_rate": 2.8666220203583462e-06, + "loss": 0.7676, + "step": 32269 + }, + { + "epoch": 0.76, + "grad_norm": 1.772224775257747, + "learning_rate": 2.866087286409761e-06, + "loss": 0.8206, + "step": 32270 + }, + { + "epoch": 0.76, + "grad_norm": 1.5751079992342543, + "learning_rate": 2.865552593997075e-06, + "loss": 0.8523, + "step": 32271 + }, + { + "epoch": 0.76, + "grad_norm": 1.5366742371997677, + "learning_rate": 2.8650179431233984e-06, + "loss": 0.7532, + "step": 32272 + }, + { + "epoch": 0.76, + "grad_norm": 1.5878216102659137, + "learning_rate": 2.8644833337918444e-06, + "loss": 0.8393, + "step": 32273 + }, + { + "epoch": 0.76, + "grad_norm": 1.8086050054267397, + "learning_rate": 2.863948766005531e-06, + "loss": 0.74, + "step": 32274 + }, + { + "epoch": 0.76, + "grad_norm": 2.1681010277072197, + "learning_rate": 2.8634142397675678e-06, + "loss": 0.7911, + "step": 32275 + }, + { + "epoch": 0.76, + "grad_norm": 1.6627945814499014, + "learning_rate": 2.862879755081063e-06, + "loss": 0.6852, + "step": 32276 + }, + { + "epoch": 0.76, + "grad_norm": 1.6623221266595893, + "learning_rate": 2.8623453119491316e-06, + "loss": 0.8236, + "step": 32277 + }, + { + "epoch": 0.76, + "grad_norm": 0.7494882942633556, + "learning_rate": 2.861810910374888e-06, + "loss": 0.68, + "step": 32278 + }, + { + "epoch": 0.76, + "grad_norm": 1.7008577107966008, + "learning_rate": 2.8612765503614424e-06, + "loss": 0.7373, + "step": 32279 + }, + { + "epoch": 0.76, + "grad_norm": 1.556415490352297, + "learning_rate": 2.8607422319119017e-06, + "loss": 0.8682, + "step": 32280 + }, + { + "epoch": 0.76, + "grad_norm": 1.7718151891223284, + "learning_rate": 2.8602079550293792e-06, + "loss": 0.8669, + "step": 32281 + }, + { + "epoch": 0.76, + "grad_norm": 0.7628371782797279, + "learning_rate": 2.85967371971699e-06, + "loss": 0.7531, + "step": 32282 + }, + { + "epoch": 0.76, + "grad_norm": 1.649905573510686, + "learning_rate": 2.859139525977841e-06, + "loss": 0.7572, + "step": 32283 + }, + { + "epoch": 0.76, + "grad_norm": 2.1656317110511565, + "learning_rate": 2.8586053738150388e-06, + "loss": 0.7842, + "step": 32284 + }, + { + "epoch": 0.76, + "grad_norm": 1.6664265800297042, + "learning_rate": 2.858071263231701e-06, + "loss": 0.7331, + "step": 32285 + }, + { + "epoch": 0.76, + "grad_norm": 1.4610297291407999, + "learning_rate": 2.8575371942309293e-06, + "loss": 0.7112, + "step": 32286 + }, + { + "epoch": 0.76, + "grad_norm": 1.6531741556443658, + "learning_rate": 2.8570031668158403e-06, + "loss": 0.9023, + "step": 32287 + }, + { + "epoch": 0.76, + "grad_norm": 1.8047000326232607, + "learning_rate": 2.8564691809895383e-06, + "loss": 0.8162, + "step": 32288 + }, + { + "epoch": 0.76, + "grad_norm": 1.5034051131791897, + "learning_rate": 2.8559352367551375e-06, + "loss": 0.8618, + "step": 32289 + }, + { + "epoch": 0.76, + "grad_norm": 1.6548614032031994, + "learning_rate": 2.855401334115739e-06, + "loss": 0.7652, + "step": 32290 + }, + { + "epoch": 0.76, + "grad_norm": 1.639596163890266, + "learning_rate": 2.8548674730744576e-06, + "loss": 0.8587, + "step": 32291 + }, + { + "epoch": 0.76, + "grad_norm": 1.8359004225246158, + "learning_rate": 2.8543336536344047e-06, + "loss": 0.895, + "step": 32292 + }, + { + "epoch": 0.76, + "grad_norm": 1.6345324827348386, + "learning_rate": 2.8537998757986773e-06, + "loss": 0.8208, + "step": 32293 + }, + { + "epoch": 0.76, + "grad_norm": 1.4956639016048423, + "learning_rate": 2.853266139570391e-06, + "loss": 0.8856, + "step": 32294 + }, + { + "epoch": 0.76, + "grad_norm": 4.103301836818949, + "learning_rate": 2.8527324449526505e-06, + "loss": 0.8824, + "step": 32295 + }, + { + "epoch": 0.76, + "grad_norm": 1.702741639947702, + "learning_rate": 2.8521987919485705e-06, + "loss": 0.8541, + "step": 32296 + }, + { + "epoch": 0.76, + "grad_norm": 1.5409649982192286, + "learning_rate": 2.851665180561247e-06, + "loss": 0.8772, + "step": 32297 + }, + { + "epoch": 0.76, + "grad_norm": 0.7741195047037281, + "learning_rate": 2.8511316107937912e-06, + "loss": 0.7125, + "step": 32298 + }, + { + "epoch": 0.76, + "grad_norm": 0.776544665760189, + "learning_rate": 2.850598082649314e-06, + "loss": 0.6905, + "step": 32299 + }, + { + "epoch": 0.76, + "grad_norm": 0.7602381403134466, + "learning_rate": 2.850064596130915e-06, + "loss": 0.707, + "step": 32300 + }, + { + "epoch": 0.76, + "grad_norm": 0.7861220641726762, + "learning_rate": 2.849531151241707e-06, + "loss": 0.7515, + "step": 32301 + }, + { + "epoch": 0.76, + "grad_norm": 1.543389992406762, + "learning_rate": 2.8489977479847886e-06, + "loss": 0.8286, + "step": 32302 + }, + { + "epoch": 0.76, + "grad_norm": 1.5075106968257583, + "learning_rate": 2.8484643863632722e-06, + "loss": 0.8412, + "step": 32303 + }, + { + "epoch": 0.76, + "grad_norm": 0.8095190928385474, + "learning_rate": 2.8479310663802574e-06, + "loss": 0.6958, + "step": 32304 + }, + { + "epoch": 0.76, + "grad_norm": 1.7850425539431378, + "learning_rate": 2.847397788038856e-06, + "loss": 0.9115, + "step": 32305 + }, + { + "epoch": 0.76, + "grad_norm": 1.7018827692443883, + "learning_rate": 2.8468645513421688e-06, + "loss": 0.863, + "step": 32306 + }, + { + "epoch": 0.76, + "grad_norm": 1.6629788001075434, + "learning_rate": 2.8463313562932983e-06, + "loss": 0.671, + "step": 32307 + }, + { + "epoch": 0.76, + "grad_norm": 1.487626798974178, + "learning_rate": 2.8457982028953502e-06, + "loss": 0.9013, + "step": 32308 + }, + { + "epoch": 0.76, + "grad_norm": 1.734500764898843, + "learning_rate": 2.8452650911514336e-06, + "loss": 0.8737, + "step": 32309 + }, + { + "epoch": 0.76, + "grad_norm": 1.5241864520447055, + "learning_rate": 2.844732021064649e-06, + "loss": 0.7839, + "step": 32310 + }, + { + "epoch": 0.76, + "grad_norm": 1.6963809900851106, + "learning_rate": 2.8441989926380966e-06, + "loss": 0.7561, + "step": 32311 + }, + { + "epoch": 0.76, + "grad_norm": 1.6445858819171144, + "learning_rate": 2.843666005874883e-06, + "loss": 0.8386, + "step": 32312 + }, + { + "epoch": 0.76, + "grad_norm": 1.5583983156096546, + "learning_rate": 2.843133060778115e-06, + "loss": 0.8275, + "step": 32313 + }, + { + "epoch": 0.76, + "grad_norm": 1.5587268679282074, + "learning_rate": 2.842600157350892e-06, + "loss": 0.8917, + "step": 32314 + }, + { + "epoch": 0.76, + "grad_norm": 1.548207142879946, + "learning_rate": 2.8420672955963136e-06, + "loss": 0.9897, + "step": 32315 + }, + { + "epoch": 0.76, + "grad_norm": 2.737682751834753, + "learning_rate": 2.8415344755174855e-06, + "loss": 0.8423, + "step": 32316 + }, + { + "epoch": 0.76, + "grad_norm": 1.821704973998489, + "learning_rate": 2.8410016971175136e-06, + "loss": 0.7609, + "step": 32317 + }, + { + "epoch": 0.76, + "grad_norm": 1.4890730464166293, + "learning_rate": 2.840468960399496e-06, + "loss": 0.7985, + "step": 32318 + }, + { + "epoch": 0.76, + "grad_norm": 1.5470243038785052, + "learning_rate": 2.8399362653665318e-06, + "loss": 0.8089, + "step": 32319 + }, + { + "epoch": 0.76, + "grad_norm": 1.5028902550826286, + "learning_rate": 2.8394036120217296e-06, + "loss": 0.7967, + "step": 32320 + }, + { + "epoch": 0.76, + "grad_norm": 1.5216515089317413, + "learning_rate": 2.838871000368182e-06, + "loss": 0.8974, + "step": 32321 + }, + { + "epoch": 0.76, + "grad_norm": 1.433457230998061, + "learning_rate": 2.8383384304089978e-06, + "loss": 0.805, + "step": 32322 + }, + { + "epoch": 0.76, + "grad_norm": 1.7046733281610071, + "learning_rate": 2.8378059021472725e-06, + "loss": 0.8948, + "step": 32323 + }, + { + "epoch": 0.76, + "grad_norm": 1.538971078849944, + "learning_rate": 2.8372734155861105e-06, + "loss": 0.7457, + "step": 32324 + }, + { + "epoch": 0.76, + "grad_norm": 1.6345763908954483, + "learning_rate": 2.8367409707286085e-06, + "loss": 0.7399, + "step": 32325 + }, + { + "epoch": 0.76, + "grad_norm": 1.514521706036574, + "learning_rate": 2.8362085675778708e-06, + "loss": 0.8416, + "step": 32326 + }, + { + "epoch": 0.76, + "grad_norm": 1.52446657527312, + "learning_rate": 2.8356762061369945e-06, + "loss": 0.8532, + "step": 32327 + }, + { + "epoch": 0.76, + "grad_norm": 1.6939916316539885, + "learning_rate": 2.8351438864090774e-06, + "loss": 0.8759, + "step": 32328 + }, + { + "epoch": 0.76, + "grad_norm": 1.5669304129467567, + "learning_rate": 2.834611608397221e-06, + "loss": 0.8288, + "step": 32329 + }, + { + "epoch": 0.76, + "grad_norm": 1.7325596330596729, + "learning_rate": 2.8340793721045266e-06, + "loss": 0.8453, + "step": 32330 + }, + { + "epoch": 0.76, + "grad_norm": 1.8581597845038835, + "learning_rate": 2.8335471775340907e-06, + "loss": 0.8473, + "step": 32331 + }, + { + "epoch": 0.76, + "grad_norm": 1.6972325997444249, + "learning_rate": 2.8330150246890097e-06, + "loss": 0.8678, + "step": 32332 + }, + { + "epoch": 0.76, + "grad_norm": 1.464648976291235, + "learning_rate": 2.832482913572384e-06, + "loss": 0.9033, + "step": 32333 + }, + { + "epoch": 0.76, + "grad_norm": 1.7034744588533257, + "learning_rate": 2.8319508441873143e-06, + "loss": 0.9038, + "step": 32334 + }, + { + "epoch": 0.76, + "grad_norm": 1.665765229326212, + "learning_rate": 2.831418816536897e-06, + "loss": 0.8328, + "step": 32335 + }, + { + "epoch": 0.76, + "grad_norm": 2.6836281607034054, + "learning_rate": 2.8308868306242253e-06, + "loss": 0.8352, + "step": 32336 + }, + { + "epoch": 0.76, + "grad_norm": 1.5851207877927476, + "learning_rate": 2.8303548864524012e-06, + "loss": 0.8543, + "step": 32337 + }, + { + "epoch": 0.76, + "grad_norm": 1.6382474768514974, + "learning_rate": 2.829822984024523e-06, + "loss": 0.9164, + "step": 32338 + }, + { + "epoch": 0.76, + "grad_norm": 0.7727595545863488, + "learning_rate": 2.829291123343686e-06, + "loss": 0.6751, + "step": 32339 + }, + { + "epoch": 0.76, + "grad_norm": 1.5751075012694447, + "learning_rate": 2.8287593044129825e-06, + "loss": 0.9974, + "step": 32340 + }, + { + "epoch": 0.76, + "grad_norm": 1.692778536123289, + "learning_rate": 2.828227527235513e-06, + "loss": 0.851, + "step": 32341 + }, + { + "epoch": 0.76, + "grad_norm": 1.6071058662446112, + "learning_rate": 2.8276957918143766e-06, + "loss": 0.8232, + "step": 32342 + }, + { + "epoch": 0.76, + "grad_norm": 1.4551926608178976, + "learning_rate": 2.827164098152666e-06, + "loss": 0.8013, + "step": 32343 + }, + { + "epoch": 0.76, + "grad_norm": 1.5461313301332646, + "learning_rate": 2.8266324462534733e-06, + "loss": 0.8581, + "step": 32344 + }, + { + "epoch": 0.76, + "grad_norm": 1.611665003847029, + "learning_rate": 2.8261008361199017e-06, + "loss": 0.9086, + "step": 32345 + }, + { + "epoch": 0.76, + "grad_norm": 1.3798164327580977, + "learning_rate": 2.8255692677550385e-06, + "loss": 0.6855, + "step": 32346 + }, + { + "epoch": 0.76, + "grad_norm": 0.7257053683796808, + "learning_rate": 2.8250377411619845e-06, + "loss": 0.7153, + "step": 32347 + }, + { + "epoch": 0.76, + "grad_norm": 1.7891179970500142, + "learning_rate": 2.8245062563438306e-06, + "loss": 0.8479, + "step": 32348 + }, + { + "epoch": 0.76, + "grad_norm": 1.7480802423606416, + "learning_rate": 2.823974813303676e-06, + "loss": 0.8027, + "step": 32349 + }, + { + "epoch": 0.76, + "grad_norm": 1.8486482378847087, + "learning_rate": 2.8234434120446084e-06, + "loss": 0.7935, + "step": 32350 + }, + { + "epoch": 0.76, + "grad_norm": 1.498669925885865, + "learning_rate": 2.8229120525697285e-06, + "loss": 0.8359, + "step": 32351 + }, + { + "epoch": 0.76, + "grad_norm": 1.6158000879972765, + "learning_rate": 2.8223807348821273e-06, + "loss": 0.7849, + "step": 32352 + }, + { + "epoch": 0.76, + "grad_norm": 0.7223335664679849, + "learning_rate": 2.821849458984894e-06, + "loss": 0.6874, + "step": 32353 + }, + { + "epoch": 0.76, + "grad_norm": 2.0042717536681303, + "learning_rate": 2.8213182248811265e-06, + "loss": 0.761, + "step": 32354 + }, + { + "epoch": 0.76, + "grad_norm": 1.8096738175570444, + "learning_rate": 2.8207870325739196e-06, + "loss": 0.9144, + "step": 32355 + }, + { + "epoch": 0.76, + "grad_norm": 1.6338755542100538, + "learning_rate": 2.820255882066364e-06, + "loss": 0.8375, + "step": 32356 + }, + { + "epoch": 0.76, + "grad_norm": 0.8013657072703764, + "learning_rate": 2.8197247733615474e-06, + "loss": 0.7274, + "step": 32357 + }, + { + "epoch": 0.76, + "grad_norm": 1.790881386425575, + "learning_rate": 2.8191937064625675e-06, + "loss": 0.9439, + "step": 32358 + }, + { + "epoch": 0.76, + "grad_norm": 1.3903640541337083, + "learning_rate": 2.818662681372518e-06, + "loss": 0.8418, + "step": 32359 + }, + { + "epoch": 0.76, + "grad_norm": 1.8080153236766792, + "learning_rate": 2.8181316980944884e-06, + "loss": 0.8622, + "step": 32360 + }, + { + "epoch": 0.76, + "grad_norm": 0.8001098310531829, + "learning_rate": 2.8176007566315665e-06, + "loss": 0.7127, + "step": 32361 + }, + { + "epoch": 0.76, + "grad_norm": 1.5330279517861776, + "learning_rate": 2.817069856986846e-06, + "loss": 0.9061, + "step": 32362 + }, + { + "epoch": 0.76, + "grad_norm": 1.579976186422907, + "learning_rate": 2.816538999163423e-06, + "loss": 0.7762, + "step": 32363 + }, + { + "epoch": 0.76, + "grad_norm": 1.5649314567618609, + "learning_rate": 2.8160081831643836e-06, + "loss": 0.7656, + "step": 32364 + }, + { + "epoch": 0.76, + "grad_norm": 1.6972236887732823, + "learning_rate": 2.8154774089928172e-06, + "loss": 0.9038, + "step": 32365 + }, + { + "epoch": 0.76, + "grad_norm": 1.782397826176686, + "learning_rate": 2.8149466766518175e-06, + "loss": 0.8124, + "step": 32366 + }, + { + "epoch": 0.76, + "grad_norm": 1.5217581608294615, + "learning_rate": 2.814415986144471e-06, + "loss": 0.6746, + "step": 32367 + }, + { + "epoch": 0.76, + "grad_norm": 1.895096999225569, + "learning_rate": 2.8138853374738717e-06, + "loss": 0.758, + "step": 32368 + }, + { + "epoch": 0.76, + "grad_norm": 0.7601623303906785, + "learning_rate": 2.813354730643104e-06, + "loss": 0.7185, + "step": 32369 + }, + { + "epoch": 0.76, + "grad_norm": 1.7352013764970025, + "learning_rate": 2.8128241656552637e-06, + "loss": 0.8694, + "step": 32370 + }, + { + "epoch": 0.76, + "grad_norm": 1.5423766413418536, + "learning_rate": 2.812293642513434e-06, + "loss": 0.7239, + "step": 32371 + }, + { + "epoch": 0.76, + "grad_norm": 1.556414850687604, + "learning_rate": 2.8117631612207084e-06, + "loss": 0.8552, + "step": 32372 + }, + { + "epoch": 0.76, + "grad_norm": 1.553035411465646, + "learning_rate": 2.811232721780174e-06, + "loss": 0.7685, + "step": 32373 + }, + { + "epoch": 0.76, + "grad_norm": 1.842072746478816, + "learning_rate": 2.810702324194915e-06, + "loss": 0.7182, + "step": 32374 + }, + { + "epoch": 0.76, + "grad_norm": 0.829999617307067, + "learning_rate": 2.810171968468024e-06, + "loss": 0.7022, + "step": 32375 + }, + { + "epoch": 0.76, + "grad_norm": 1.6027385325573145, + "learning_rate": 2.809641654602587e-06, + "loss": 0.8474, + "step": 32376 + }, + { + "epoch": 0.76, + "grad_norm": 1.574960645686489, + "learning_rate": 2.8091113826017004e-06, + "loss": 0.7607, + "step": 32377 + }, + { + "epoch": 0.76, + "grad_norm": 1.6213336433330026, + "learning_rate": 2.808581152468436e-06, + "loss": 0.7826, + "step": 32378 + }, + { + "epoch": 0.76, + "grad_norm": 1.705115741038839, + "learning_rate": 2.8080509642058894e-06, + "loss": 0.7748, + "step": 32379 + }, + { + "epoch": 0.76, + "grad_norm": 1.4513655576966609, + "learning_rate": 2.8075208178171507e-06, + "loss": 0.8693, + "step": 32380 + }, + { + "epoch": 0.76, + "grad_norm": 1.668236777287976, + "learning_rate": 2.8069907133053033e-06, + "loss": 0.7403, + "step": 32381 + }, + { + "epoch": 0.76, + "grad_norm": 1.6823040264117135, + "learning_rate": 2.8064606506734292e-06, + "loss": 0.737, + "step": 32382 + }, + { + "epoch": 0.76, + "grad_norm": 1.7068682839746727, + "learning_rate": 2.805930629924619e-06, + "loss": 0.7508, + "step": 32383 + }, + { + "epoch": 0.76, + "grad_norm": 0.7383654904658759, + "learning_rate": 2.8054006510619615e-06, + "loss": 0.672, + "step": 32384 + }, + { + "epoch": 0.76, + "grad_norm": 1.5841257299272504, + "learning_rate": 2.804870714088539e-06, + "loss": 0.8895, + "step": 32385 + }, + { + "epoch": 0.76, + "grad_norm": 1.8579071559487026, + "learning_rate": 2.804340819007434e-06, + "loss": 0.8745, + "step": 32386 + }, + { + "epoch": 0.76, + "grad_norm": 2.653977059741377, + "learning_rate": 2.803810965821737e-06, + "loss": 0.812, + "step": 32387 + }, + { + "epoch": 0.76, + "grad_norm": 1.6124875548660111, + "learning_rate": 2.8032811545345294e-06, + "loss": 0.8629, + "step": 32388 + }, + { + "epoch": 0.76, + "grad_norm": 0.7203578046370768, + "learning_rate": 2.8027513851488963e-06, + "loss": 0.6479, + "step": 32389 + }, + { + "epoch": 0.76, + "grad_norm": 1.569438411155337, + "learning_rate": 2.802221657667927e-06, + "loss": 0.742, + "step": 32390 + }, + { + "epoch": 0.76, + "grad_norm": 1.6717950662237808, + "learning_rate": 2.8016919720947024e-06, + "loss": 1.0015, + "step": 32391 + }, + { + "epoch": 0.76, + "grad_norm": 1.618202340531434, + "learning_rate": 2.801162328432302e-06, + "loss": 0.8005, + "step": 32392 + }, + { + "epoch": 0.76, + "grad_norm": 1.658847294618581, + "learning_rate": 2.800632726683814e-06, + "loss": 0.9561, + "step": 32393 + }, + { + "epoch": 0.76, + "grad_norm": 1.9283935835354629, + "learning_rate": 2.8001031668523273e-06, + "loss": 0.9272, + "step": 32394 + }, + { + "epoch": 0.76, + "grad_norm": 0.7727553075205592, + "learning_rate": 2.799573648940913e-06, + "loss": 0.7058, + "step": 32395 + }, + { + "epoch": 0.76, + "grad_norm": 1.537626695873553, + "learning_rate": 2.7990441729526617e-06, + "loss": 0.9375, + "step": 32396 + }, + { + "epoch": 0.76, + "grad_norm": 1.624237709822225, + "learning_rate": 2.798514738890654e-06, + "loss": 0.8579, + "step": 32397 + }, + { + "epoch": 0.76, + "grad_norm": 1.513667541236211, + "learning_rate": 2.7979853467579777e-06, + "loss": 0.8394, + "step": 32398 + }, + { + "epoch": 0.76, + "grad_norm": 1.6981193075307692, + "learning_rate": 2.7974559965577097e-06, + "loss": 0.7854, + "step": 32399 + }, + { + "epoch": 0.76, + "grad_norm": 1.4710019389355615, + "learning_rate": 2.7969266882929304e-06, + "loss": 0.7622, + "step": 32400 + }, + { + "epoch": 0.76, + "grad_norm": 1.7316195416923024, + "learning_rate": 2.796397421966728e-06, + "loss": 0.8019, + "step": 32401 + }, + { + "epoch": 0.76, + "grad_norm": 1.524588154118203, + "learning_rate": 2.7958681975821767e-06, + "loss": 0.8451, + "step": 32402 + }, + { + "epoch": 0.76, + "grad_norm": 1.6844105653068997, + "learning_rate": 2.795339015142364e-06, + "loss": 0.7216, + "step": 32403 + }, + { + "epoch": 0.76, + "grad_norm": 1.8542572467172662, + "learning_rate": 2.794809874650367e-06, + "loss": 0.8525, + "step": 32404 + }, + { + "epoch": 0.76, + "grad_norm": 1.6435044418580336, + "learning_rate": 2.7942807761092704e-06, + "loss": 0.901, + "step": 32405 + }, + { + "epoch": 0.76, + "grad_norm": 1.5441457876620768, + "learning_rate": 2.7937517195221498e-06, + "loss": 0.7999, + "step": 32406 + }, + { + "epoch": 0.76, + "grad_norm": 1.639246303684726, + "learning_rate": 2.79322270489209e-06, + "loss": 0.7916, + "step": 32407 + }, + { + "epoch": 0.76, + "grad_norm": 1.7768063113709363, + "learning_rate": 2.7926937322221705e-06, + "loss": 0.8301, + "step": 32408 + }, + { + "epoch": 0.76, + "grad_norm": 2.118215955690618, + "learning_rate": 2.7921648015154655e-06, + "loss": 0.8063, + "step": 32409 + }, + { + "epoch": 0.76, + "grad_norm": 1.4536503265162537, + "learning_rate": 2.7916359127750605e-06, + "loss": 0.7493, + "step": 32410 + }, + { + "epoch": 0.76, + "grad_norm": 1.3905291547722618, + "learning_rate": 2.791107066004035e-06, + "loss": 0.8801, + "step": 32411 + }, + { + "epoch": 0.76, + "grad_norm": 1.704997122360729, + "learning_rate": 2.7905782612054676e-06, + "loss": 0.7445, + "step": 32412 + }, + { + "epoch": 0.76, + "grad_norm": 1.4950280218793106, + "learning_rate": 2.790049498382432e-06, + "loss": 0.7966, + "step": 32413 + }, + { + "epoch": 0.76, + "grad_norm": 1.8870482377802928, + "learning_rate": 2.7895207775380116e-06, + "loss": 0.8394, + "step": 32414 + }, + { + "epoch": 0.76, + "grad_norm": 1.691524602341267, + "learning_rate": 2.788992098675287e-06, + "loss": 0.6746, + "step": 32415 + }, + { + "epoch": 0.76, + "grad_norm": 1.8902677902392901, + "learning_rate": 2.788463461797333e-06, + "loss": 0.9213, + "step": 32416 + }, + { + "epoch": 0.76, + "grad_norm": 1.591368692733793, + "learning_rate": 2.787934866907225e-06, + "loss": 0.8132, + "step": 32417 + }, + { + "epoch": 0.76, + "grad_norm": 1.6973653445509205, + "learning_rate": 2.787406314008043e-06, + "loss": 0.8099, + "step": 32418 + }, + { + "epoch": 0.76, + "grad_norm": 2.900214870051475, + "learning_rate": 2.7868778031028688e-06, + "loss": 0.7619, + "step": 32419 + }, + { + "epoch": 0.76, + "grad_norm": 0.7039830193535414, + "learning_rate": 2.7863493341947756e-06, + "loss": 0.671, + "step": 32420 + }, + { + "epoch": 0.76, + "grad_norm": 3.6766263514566977, + "learning_rate": 2.785820907286837e-06, + "loss": 0.7449, + "step": 32421 + }, + { + "epoch": 0.76, + "grad_norm": 1.9254412660461317, + "learning_rate": 2.785292522382137e-06, + "loss": 0.8281, + "step": 32422 + }, + { + "epoch": 0.76, + "grad_norm": 1.4995684048981899, + "learning_rate": 2.7847641794837432e-06, + "loss": 0.8128, + "step": 32423 + }, + { + "epoch": 0.76, + "grad_norm": 1.7332340162833582, + "learning_rate": 2.784235878594741e-06, + "loss": 0.8938, + "step": 32424 + }, + { + "epoch": 0.76, + "grad_norm": 1.516477652008726, + "learning_rate": 2.7837076197181987e-06, + "loss": 0.8611, + "step": 32425 + }, + { + "epoch": 0.76, + "grad_norm": 1.4837227502381432, + "learning_rate": 2.783179402857198e-06, + "loss": 1.0002, + "step": 32426 + }, + { + "epoch": 0.76, + "grad_norm": 3.016191552162309, + "learning_rate": 2.782651228014809e-06, + "loss": 0.7779, + "step": 32427 + }, + { + "epoch": 0.76, + "grad_norm": 1.5315504207042436, + "learning_rate": 2.7821230951941125e-06, + "loss": 0.9038, + "step": 32428 + }, + { + "epoch": 0.76, + "grad_norm": 2.6850502529672027, + "learning_rate": 2.781595004398181e-06, + "loss": 0.8617, + "step": 32429 + }, + { + "epoch": 0.76, + "grad_norm": 1.5358913371506102, + "learning_rate": 2.781066955630085e-06, + "loss": 0.8923, + "step": 32430 + }, + { + "epoch": 0.76, + "grad_norm": 2.0272080771921948, + "learning_rate": 2.7805389488929025e-06, + "loss": 0.7464, + "step": 32431 + }, + { + "epoch": 0.76, + "grad_norm": 1.5760697736820135, + "learning_rate": 2.7800109841897105e-06, + "loss": 0.7038, + "step": 32432 + }, + { + "epoch": 0.76, + "grad_norm": 1.4538280693689651, + "learning_rate": 2.7794830615235812e-06, + "loss": 0.9062, + "step": 32433 + }, + { + "epoch": 0.76, + "grad_norm": 1.7603197476656143, + "learning_rate": 2.7789551808975843e-06, + "loss": 0.8886, + "step": 32434 + }, + { + "epoch": 0.76, + "grad_norm": 1.6203350219039585, + "learning_rate": 2.7784273423147966e-06, + "loss": 0.7889, + "step": 32435 + }, + { + "epoch": 0.76, + "grad_norm": 1.490007201473502, + "learning_rate": 2.777899545778294e-06, + "loss": 0.7252, + "step": 32436 + }, + { + "epoch": 0.76, + "grad_norm": 1.770889121529183, + "learning_rate": 2.777371791291147e-06, + "loss": 0.7952, + "step": 32437 + }, + { + "epoch": 0.76, + "grad_norm": 1.4939351997542532, + "learning_rate": 2.7768440788564243e-06, + "loss": 0.7676, + "step": 32438 + }, + { + "epoch": 0.76, + "grad_norm": 1.6525814203075646, + "learning_rate": 2.7763164084772033e-06, + "loss": 0.802, + "step": 32439 + }, + { + "epoch": 0.76, + "grad_norm": 1.5375470205606994, + "learning_rate": 2.7757887801565577e-06, + "loss": 0.753, + "step": 32440 + }, + { + "epoch": 0.76, + "grad_norm": 1.600279095834102, + "learning_rate": 2.7752611938975573e-06, + "loss": 0.7989, + "step": 32441 + }, + { + "epoch": 0.76, + "grad_norm": 1.5915406889978254, + "learning_rate": 2.7747336497032697e-06, + "loss": 0.6574, + "step": 32442 + }, + { + "epoch": 0.76, + "grad_norm": 2.710117627234131, + "learning_rate": 2.7742061475767735e-06, + "loss": 0.8689, + "step": 32443 + }, + { + "epoch": 0.76, + "grad_norm": 2.0434652970088742, + "learning_rate": 2.773678687521134e-06, + "loss": 0.8057, + "step": 32444 + }, + { + "epoch": 0.76, + "grad_norm": 1.6724589150121798, + "learning_rate": 2.773151269539428e-06, + "loss": 0.8188, + "step": 32445 + }, + { + "epoch": 0.76, + "grad_norm": 1.770601078244265, + "learning_rate": 2.7726238936347204e-06, + "loss": 0.771, + "step": 32446 + }, + { + "epoch": 0.76, + "grad_norm": 1.6101582518233533, + "learning_rate": 2.7720965598100867e-06, + "loss": 0.8984, + "step": 32447 + }, + { + "epoch": 0.76, + "grad_norm": 1.9095124262972092, + "learning_rate": 2.7715692680685933e-06, + "loss": 0.8592, + "step": 32448 + }, + { + "epoch": 0.76, + "grad_norm": 2.318924021532783, + "learning_rate": 2.7710420184133148e-06, + "loss": 0.7777, + "step": 32449 + }, + { + "epoch": 0.76, + "grad_norm": 1.3634604691731338, + "learning_rate": 2.7705148108473177e-06, + "loss": 0.8553, + "step": 32450 + }, + { + "epoch": 0.76, + "grad_norm": 1.4035956747046527, + "learning_rate": 2.769987645373671e-06, + "loss": 0.8603, + "step": 32451 + }, + { + "epoch": 0.76, + "grad_norm": 1.4885043044893747, + "learning_rate": 2.769460521995443e-06, + "loss": 0.8442, + "step": 32452 + }, + { + "epoch": 0.76, + "grad_norm": 1.5049730998048139, + "learning_rate": 2.7689334407157086e-06, + "loss": 0.9156, + "step": 32453 + }, + { + "epoch": 0.76, + "grad_norm": 1.922389678568545, + "learning_rate": 2.7684064015375333e-06, + "loss": 0.8053, + "step": 32454 + }, + { + "epoch": 0.76, + "grad_norm": 1.6545353688206594, + "learning_rate": 2.7678794044639835e-06, + "loss": 0.9189, + "step": 32455 + }, + { + "epoch": 0.76, + "grad_norm": 1.5654315749544911, + "learning_rate": 2.7673524494981275e-06, + "loss": 1.0079, + "step": 32456 + }, + { + "epoch": 0.76, + "grad_norm": 1.5518626226591912, + "learning_rate": 2.7668255366430397e-06, + "loss": 0.9436, + "step": 32457 + }, + { + "epoch": 0.76, + "grad_norm": 1.6860242847282148, + "learning_rate": 2.7662986659017833e-06, + "loss": 0.9201, + "step": 32458 + }, + { + "epoch": 0.76, + "grad_norm": 1.795949062359374, + "learning_rate": 2.7657718372774233e-06, + "loss": 0.8386, + "step": 32459 + }, + { + "epoch": 0.76, + "grad_norm": 2.500378820179118, + "learning_rate": 2.7652450507730297e-06, + "loss": 0.8544, + "step": 32460 + }, + { + "epoch": 0.76, + "grad_norm": 1.5389945615726695, + "learning_rate": 2.764718306391673e-06, + "loss": 0.8977, + "step": 32461 + }, + { + "epoch": 0.76, + "grad_norm": 1.6331326458011008, + "learning_rate": 2.764191604136417e-06, + "loss": 1.0304, + "step": 32462 + }, + { + "epoch": 0.76, + "grad_norm": 1.565837691260766, + "learning_rate": 2.7636649440103247e-06, + "loss": 0.7417, + "step": 32463 + }, + { + "epoch": 0.76, + "grad_norm": 1.4755205514324938, + "learning_rate": 2.763138326016467e-06, + "loss": 0.831, + "step": 32464 + }, + { + "epoch": 0.76, + "grad_norm": 1.502915057877333, + "learning_rate": 2.762611750157912e-06, + "loss": 0.8992, + "step": 32465 + }, + { + "epoch": 0.76, + "grad_norm": 1.5670570501072896, + "learning_rate": 2.762085216437722e-06, + "loss": 0.786, + "step": 32466 + }, + { + "epoch": 0.76, + "grad_norm": 1.7320379545746254, + "learning_rate": 2.7615587248589614e-06, + "loss": 0.8898, + "step": 32467 + }, + { + "epoch": 0.76, + "grad_norm": 1.450448961584737, + "learning_rate": 2.7610322754247e-06, + "loss": 0.8206, + "step": 32468 + }, + { + "epoch": 0.76, + "grad_norm": 2.096187769197245, + "learning_rate": 2.760505868137997e-06, + "loss": 0.8785, + "step": 32469 + }, + { + "epoch": 0.76, + "grad_norm": 1.5428593350046942, + "learning_rate": 2.7599795030019237e-06, + "loss": 0.7663, + "step": 32470 + }, + { + "epoch": 0.76, + "grad_norm": 1.651013290778896, + "learning_rate": 2.75945318001954e-06, + "loss": 0.8272, + "step": 32471 + }, + { + "epoch": 0.77, + "grad_norm": 1.4397728559350254, + "learning_rate": 2.7589268991939145e-06, + "loss": 0.78, + "step": 32472 + }, + { + "epoch": 0.77, + "grad_norm": 0.8343927011067196, + "learning_rate": 2.758400660528107e-06, + "loss": 0.7235, + "step": 32473 + }, + { + "epoch": 0.77, + "grad_norm": 1.4867277739091116, + "learning_rate": 2.757874464025182e-06, + "loss": 0.7787, + "step": 32474 + }, + { + "epoch": 0.77, + "grad_norm": 1.7251208362107144, + "learning_rate": 2.7573483096882114e-06, + "loss": 0.8177, + "step": 32475 + }, + { + "epoch": 0.77, + "grad_norm": 1.5063484149773294, + "learning_rate": 2.7568221975202468e-06, + "loss": 0.9526, + "step": 32476 + }, + { + "epoch": 0.77, + "grad_norm": 1.5702325778677462, + "learning_rate": 2.756296127524355e-06, + "loss": 0.8106, + "step": 32477 + }, + { + "epoch": 0.77, + "grad_norm": 1.4896736471044079, + "learning_rate": 2.755770099703602e-06, + "loss": 0.8287, + "step": 32478 + }, + { + "epoch": 0.77, + "grad_norm": 1.3917774514254324, + "learning_rate": 2.755244114061054e-06, + "loss": 0.8462, + "step": 32479 + }, + { + "epoch": 0.77, + "grad_norm": 1.8188208463792295, + "learning_rate": 2.7547181705997626e-06, + "loss": 0.81, + "step": 32480 + }, + { + "epoch": 0.77, + "grad_norm": 1.5228275155351765, + "learning_rate": 2.754192269322795e-06, + "loss": 0.6464, + "step": 32481 + }, + { + "epoch": 0.77, + "grad_norm": 1.4490073630576663, + "learning_rate": 2.7536664102332177e-06, + "loss": 0.8323, + "step": 32482 + }, + { + "epoch": 0.77, + "grad_norm": 1.7286842305716392, + "learning_rate": 2.7531405933340894e-06, + "loss": 0.8108, + "step": 32483 + }, + { + "epoch": 0.77, + "grad_norm": 1.567184538217592, + "learning_rate": 2.7526148186284674e-06, + "loss": 0.7205, + "step": 32484 + }, + { + "epoch": 0.77, + "grad_norm": 1.614810309511677, + "learning_rate": 2.752089086119416e-06, + "loss": 0.7727, + "step": 32485 + }, + { + "epoch": 0.77, + "grad_norm": 1.4573204504206994, + "learning_rate": 2.7515633958099998e-06, + "loss": 0.8049, + "step": 32486 + }, + { + "epoch": 0.77, + "grad_norm": 1.5580356624701732, + "learning_rate": 2.7510377477032735e-06, + "loss": 0.8133, + "step": 32487 + }, + { + "epoch": 0.77, + "grad_norm": 1.8286167225595238, + "learning_rate": 2.750512141802304e-06, + "loss": 0.8425, + "step": 32488 + }, + { + "epoch": 0.77, + "grad_norm": 1.5909619812551088, + "learning_rate": 2.7499865781101466e-06, + "loss": 0.8367, + "step": 32489 + }, + { + "epoch": 0.77, + "grad_norm": 1.7539332594907873, + "learning_rate": 2.7494610566298608e-06, + "loss": 0.7958, + "step": 32490 + }, + { + "epoch": 0.77, + "grad_norm": 1.5642831313353125, + "learning_rate": 2.7489355773645078e-06, + "loss": 0.7864, + "step": 32491 + }, + { + "epoch": 0.77, + "grad_norm": 1.7957621357087878, + "learning_rate": 2.7484101403171505e-06, + "loss": 0.7746, + "step": 32492 + }, + { + "epoch": 0.77, + "grad_norm": 1.5436607488953122, + "learning_rate": 2.7478847454908454e-06, + "loss": 0.823, + "step": 32493 + }, + { + "epoch": 0.77, + "grad_norm": 1.6880821483002768, + "learning_rate": 2.747359392888648e-06, + "loss": 0.8427, + "step": 32494 + }, + { + "epoch": 0.77, + "grad_norm": 0.7697117876863501, + "learning_rate": 2.74683408251362e-06, + "loss": 0.7333, + "step": 32495 + }, + { + "epoch": 0.77, + "grad_norm": 1.401159453135072, + "learning_rate": 2.7463088143688234e-06, + "loss": 0.7578, + "step": 32496 + }, + { + "epoch": 0.77, + "grad_norm": 1.6875157071477815, + "learning_rate": 2.7457835884573137e-06, + "loss": 0.7968, + "step": 32497 + }, + { + "epoch": 0.77, + "grad_norm": 1.9400334475453156, + "learning_rate": 2.7452584047821452e-06, + "loss": 0.8647, + "step": 32498 + }, + { + "epoch": 0.77, + "grad_norm": 1.541097421988596, + "learning_rate": 2.7447332633463795e-06, + "loss": 0.7889, + "step": 32499 + }, + { + "epoch": 0.77, + "grad_norm": 1.8639055002723508, + "learning_rate": 2.744208164153077e-06, + "loss": 0.8275, + "step": 32500 + }, + { + "epoch": 0.77, + "grad_norm": 1.6455825217419466, + "learning_rate": 2.7436831072052915e-06, + "loss": 0.7104, + "step": 32501 + }, + { + "epoch": 0.77, + "grad_norm": 1.7138480336356574, + "learning_rate": 2.7431580925060762e-06, + "loss": 0.9116, + "step": 32502 + }, + { + "epoch": 0.77, + "grad_norm": 0.8020995495838503, + "learning_rate": 2.7426331200584966e-06, + "loss": 0.7566, + "step": 32503 + }, + { + "epoch": 0.77, + "grad_norm": 0.7497508155357461, + "learning_rate": 2.742108189865601e-06, + "loss": 0.7142, + "step": 32504 + }, + { + "epoch": 0.77, + "grad_norm": 1.5145913804843856, + "learning_rate": 2.7415833019304517e-06, + "loss": 0.8777, + "step": 32505 + }, + { + "epoch": 0.77, + "grad_norm": 1.6560018895058202, + "learning_rate": 2.7410584562561004e-06, + "loss": 0.7595, + "step": 32506 + }, + { + "epoch": 0.77, + "grad_norm": 1.5275290508576862, + "learning_rate": 2.7405336528456073e-06, + "loss": 0.7886, + "step": 32507 + }, + { + "epoch": 0.77, + "grad_norm": 1.5587226617661325, + "learning_rate": 2.740008891702023e-06, + "loss": 0.8971, + "step": 32508 + }, + { + "epoch": 0.77, + "grad_norm": 1.6247315710575256, + "learning_rate": 2.7394841728284083e-06, + "loss": 0.8013, + "step": 32509 + }, + { + "epoch": 0.77, + "grad_norm": 2.0334247187710854, + "learning_rate": 2.738959496227814e-06, + "loss": 0.7904, + "step": 32510 + }, + { + "epoch": 0.77, + "grad_norm": 1.535736219541319, + "learning_rate": 2.738434861903295e-06, + "loss": 0.8322, + "step": 32511 + }, + { + "epoch": 0.77, + "grad_norm": 1.7195979164967528, + "learning_rate": 2.7379102698579075e-06, + "loss": 0.9537, + "step": 32512 + }, + { + "epoch": 0.77, + "grad_norm": 1.489524975443844, + "learning_rate": 2.7373857200947073e-06, + "loss": 0.8944, + "step": 32513 + }, + { + "epoch": 0.77, + "grad_norm": 1.5375516590797222, + "learning_rate": 2.736861212616747e-06, + "loss": 0.858, + "step": 32514 + }, + { + "epoch": 0.77, + "grad_norm": 1.5966343645420573, + "learning_rate": 2.7363367474270774e-06, + "loss": 0.8762, + "step": 32515 + }, + { + "epoch": 0.77, + "grad_norm": 0.8111805952830679, + "learning_rate": 2.7358123245287548e-06, + "loss": 0.7175, + "step": 32516 + }, + { + "epoch": 0.77, + "grad_norm": 1.6793606409596358, + "learning_rate": 2.7352879439248358e-06, + "loss": 0.9939, + "step": 32517 + }, + { + "epoch": 0.77, + "grad_norm": 2.063737999173893, + "learning_rate": 2.73476360561837e-06, + "loss": 0.744, + "step": 32518 + }, + { + "epoch": 0.77, + "grad_norm": 0.7509814984304479, + "learning_rate": 2.734239309612409e-06, + "loss": 0.6748, + "step": 32519 + }, + { + "epoch": 0.77, + "grad_norm": 1.428436295596562, + "learning_rate": 2.7337150559100055e-06, + "loss": 0.7957, + "step": 32520 + }, + { + "epoch": 0.77, + "grad_norm": 1.5151473441674945, + "learning_rate": 2.7331908445142165e-06, + "loss": 0.823, + "step": 32521 + }, + { + "epoch": 0.77, + "grad_norm": 1.6240225281077734, + "learning_rate": 2.7326666754280918e-06, + "loss": 0.8257, + "step": 32522 + }, + { + "epoch": 0.77, + "grad_norm": 1.5281542356431876, + "learning_rate": 2.7321425486546792e-06, + "loss": 0.7678, + "step": 32523 + }, + { + "epoch": 0.77, + "grad_norm": 1.605450130691713, + "learning_rate": 2.7316184641970367e-06, + "loss": 0.8035, + "step": 32524 + }, + { + "epoch": 0.77, + "grad_norm": 1.6074179521875789, + "learning_rate": 2.7310944220582092e-06, + "loss": 0.7988, + "step": 32525 + }, + { + "epoch": 0.77, + "grad_norm": 1.6971889844198849, + "learning_rate": 2.7305704222412543e-06, + "loss": 0.88, + "step": 32526 + }, + { + "epoch": 0.77, + "grad_norm": 2.268841558730516, + "learning_rate": 2.7300464647492177e-06, + "loss": 0.825, + "step": 32527 + }, + { + "epoch": 0.77, + "grad_norm": 1.537411093902003, + "learning_rate": 2.729522549585154e-06, + "loss": 0.7676, + "step": 32528 + }, + { + "epoch": 0.77, + "grad_norm": 1.7366440071526994, + "learning_rate": 2.7289986767521105e-06, + "loss": 0.7244, + "step": 32529 + }, + { + "epoch": 0.77, + "grad_norm": 1.588743307110418, + "learning_rate": 2.7284748462531394e-06, + "loss": 0.8267, + "step": 32530 + }, + { + "epoch": 0.77, + "grad_norm": 1.7000649837977533, + "learning_rate": 2.7279510580912916e-06, + "loss": 0.8057, + "step": 32531 + }, + { + "epoch": 0.77, + "grad_norm": 1.6507455054536537, + "learning_rate": 2.7274273122696118e-06, + "loss": 0.7825, + "step": 32532 + }, + { + "epoch": 0.77, + "grad_norm": 1.6011825562243225, + "learning_rate": 2.7269036087911525e-06, + "loss": 0.7213, + "step": 32533 + }, + { + "epoch": 0.77, + "grad_norm": 1.5017429097423816, + "learning_rate": 2.726379947658966e-06, + "loss": 0.8385, + "step": 32534 + }, + { + "epoch": 0.77, + "grad_norm": 1.9076527081835608, + "learning_rate": 2.7258563288760976e-06, + "loss": 0.8439, + "step": 32535 + }, + { + "epoch": 0.77, + "grad_norm": 1.7356620086007446, + "learning_rate": 2.725332752445594e-06, + "loss": 0.9001, + "step": 32536 + }, + { + "epoch": 0.77, + "grad_norm": 2.0285734363407046, + "learning_rate": 2.7248092183705065e-06, + "loss": 0.8583, + "step": 32537 + }, + { + "epoch": 0.77, + "grad_norm": 1.6173629581875675, + "learning_rate": 2.7242857266538857e-06, + "loss": 0.9128, + "step": 32538 + }, + { + "epoch": 0.77, + "grad_norm": 1.5944943884641585, + "learning_rate": 2.7237622772987772e-06, + "loss": 0.812, + "step": 32539 + }, + { + "epoch": 0.77, + "grad_norm": 0.7610442578485423, + "learning_rate": 2.7232388703082258e-06, + "loss": 0.7004, + "step": 32540 + }, + { + "epoch": 0.77, + "grad_norm": 1.7843848883094469, + "learning_rate": 2.7227155056852806e-06, + "loss": 0.9016, + "step": 32541 + }, + { + "epoch": 0.77, + "grad_norm": 1.5810985703597293, + "learning_rate": 2.7221921834329923e-06, + "loss": 0.9212, + "step": 32542 + }, + { + "epoch": 0.77, + "grad_norm": 1.4965605297457625, + "learning_rate": 2.7216689035544064e-06, + "loss": 0.8855, + "step": 32543 + }, + { + "epoch": 0.77, + "grad_norm": 2.341282669054127, + "learning_rate": 2.7211456660525647e-06, + "loss": 0.7419, + "step": 32544 + }, + { + "epoch": 0.77, + "grad_norm": 2.6301188643533933, + "learning_rate": 2.7206224709305206e-06, + "loss": 0.7122, + "step": 32545 + }, + { + "epoch": 0.77, + "grad_norm": 1.5445651161723466, + "learning_rate": 2.7200993181913137e-06, + "loss": 0.916, + "step": 32546 + }, + { + "epoch": 0.77, + "grad_norm": 1.6872527971199893, + "learning_rate": 2.719576207837997e-06, + "loss": 0.8067, + "step": 32547 + }, + { + "epoch": 0.77, + "grad_norm": 1.6163069139028994, + "learning_rate": 2.7190531398736098e-06, + "loss": 0.7838, + "step": 32548 + }, + { + "epoch": 0.77, + "grad_norm": 1.738930530922402, + "learning_rate": 2.718530114301202e-06, + "loss": 0.7359, + "step": 32549 + }, + { + "epoch": 0.77, + "grad_norm": 2.0563659312727434, + "learning_rate": 2.7180071311238152e-06, + "loss": 0.9013, + "step": 32550 + }, + { + "epoch": 0.77, + "grad_norm": 1.6070778627887143, + "learning_rate": 2.717484190344499e-06, + "loss": 0.9037, + "step": 32551 + }, + { + "epoch": 0.77, + "grad_norm": 1.6386595083393523, + "learning_rate": 2.716961291966296e-06, + "loss": 0.9397, + "step": 32552 + }, + { + "epoch": 0.77, + "grad_norm": 1.7810391964514827, + "learning_rate": 2.7164384359922467e-06, + "loss": 0.7669, + "step": 32553 + }, + { + "epoch": 0.77, + "grad_norm": 1.572817406860969, + "learning_rate": 2.715915622425398e-06, + "loss": 0.8132, + "step": 32554 + }, + { + "epoch": 0.77, + "grad_norm": 2.1275002179707516, + "learning_rate": 2.715392851268799e-06, + "loss": 0.9395, + "step": 32555 + }, + { + "epoch": 0.77, + "grad_norm": 1.6042292933535516, + "learning_rate": 2.714870122525488e-06, + "loss": 0.8887, + "step": 32556 + }, + { + "epoch": 0.77, + "grad_norm": 1.7962061910420553, + "learning_rate": 2.7143474361985065e-06, + "loss": 0.7767, + "step": 32557 + }, + { + "epoch": 0.77, + "grad_norm": 1.5803535132882052, + "learning_rate": 2.7138247922909024e-06, + "loss": 0.8313, + "step": 32558 + }, + { + "epoch": 0.77, + "grad_norm": 1.5411633258614514, + "learning_rate": 2.713302190805719e-06, + "loss": 0.8018, + "step": 32559 + }, + { + "epoch": 0.77, + "grad_norm": 1.622012616725581, + "learning_rate": 2.7127796317459976e-06, + "loss": 0.8054, + "step": 32560 + }, + { + "epoch": 0.77, + "grad_norm": 1.5901812584820332, + "learning_rate": 2.7122571151147757e-06, + "loss": 0.888, + "step": 32561 + }, + { + "epoch": 0.77, + "grad_norm": 1.7631889725038954, + "learning_rate": 2.7117346409151023e-06, + "loss": 0.8974, + "step": 32562 + }, + { + "epoch": 0.77, + "grad_norm": 1.6294490467430782, + "learning_rate": 2.7112122091500194e-06, + "loss": 0.7681, + "step": 32563 + }, + { + "epoch": 0.77, + "grad_norm": 0.7289255358825778, + "learning_rate": 2.710689819822566e-06, + "loss": 0.6976, + "step": 32564 + }, + { + "epoch": 0.77, + "grad_norm": 0.775616754644538, + "learning_rate": 2.7101674729357817e-06, + "loss": 0.7156, + "step": 32565 + }, + { + "epoch": 0.77, + "grad_norm": 1.5985387374724904, + "learning_rate": 2.7096451684927138e-06, + "loss": 0.9413, + "step": 32566 + }, + { + "epoch": 0.77, + "grad_norm": 1.5519147417190307, + "learning_rate": 2.7091229064963964e-06, + "loss": 0.831, + "step": 32567 + }, + { + "epoch": 0.77, + "grad_norm": 1.709082716837125, + "learning_rate": 2.708600686949876e-06, + "loss": 0.845, + "step": 32568 + }, + { + "epoch": 0.77, + "grad_norm": 1.5889289128271953, + "learning_rate": 2.708078509856189e-06, + "loss": 0.8786, + "step": 32569 + }, + { + "epoch": 0.77, + "grad_norm": 1.5726908211756334, + "learning_rate": 2.70755637521838e-06, + "loss": 0.8166, + "step": 32570 + }, + { + "epoch": 0.77, + "grad_norm": 1.641817037339243, + "learning_rate": 2.7070342830394836e-06, + "loss": 0.8564, + "step": 32571 + }, + { + "epoch": 0.77, + "grad_norm": 1.575245346478918, + "learning_rate": 2.7065122333225426e-06, + "loss": 0.7878, + "step": 32572 + }, + { + "epoch": 0.77, + "grad_norm": 1.756562186032002, + "learning_rate": 2.705990226070602e-06, + "loss": 0.7816, + "step": 32573 + }, + { + "epoch": 0.77, + "grad_norm": 1.5322113243011473, + "learning_rate": 2.70546826128669e-06, + "loss": 0.7226, + "step": 32574 + }, + { + "epoch": 0.77, + "grad_norm": 1.5225702578606324, + "learning_rate": 2.7049463389738506e-06, + "loss": 0.8592, + "step": 32575 + }, + { + "epoch": 0.77, + "grad_norm": 1.5135544725618852, + "learning_rate": 2.704424459135123e-06, + "loss": 0.8789, + "step": 32576 + }, + { + "epoch": 0.77, + "grad_norm": 1.5982093223890392, + "learning_rate": 2.703902621773553e-06, + "loss": 0.9065, + "step": 32577 + }, + { + "epoch": 0.77, + "grad_norm": 1.481262969373208, + "learning_rate": 2.7033808268921658e-06, + "loss": 0.8674, + "step": 32578 + }, + { + "epoch": 0.77, + "grad_norm": 1.7721950335164138, + "learning_rate": 2.702859074494004e-06, + "loss": 0.818, + "step": 32579 + }, + { + "epoch": 0.77, + "grad_norm": 5.381207564117187, + "learning_rate": 2.7023373645821115e-06, + "loss": 0.9389, + "step": 32580 + }, + { + "epoch": 0.77, + "grad_norm": 2.156375133351349, + "learning_rate": 2.7018156971595177e-06, + "loss": 0.7961, + "step": 32581 + }, + { + "epoch": 0.77, + "grad_norm": 1.6812310748121957, + "learning_rate": 2.701294072229267e-06, + "loss": 0.8787, + "step": 32582 + }, + { + "epoch": 0.77, + "grad_norm": 4.459454443557736, + "learning_rate": 2.7007724897943887e-06, + "loss": 0.7906, + "step": 32583 + }, + { + "epoch": 0.77, + "grad_norm": 1.594703863991828, + "learning_rate": 2.7002509498579275e-06, + "loss": 0.8228, + "step": 32584 + }, + { + "epoch": 0.77, + "grad_norm": 1.6364239319441556, + "learning_rate": 2.6997294524229145e-06, + "loss": 0.9207, + "step": 32585 + }, + { + "epoch": 0.77, + "grad_norm": 1.6442939520270823, + "learning_rate": 2.699207997492389e-06, + "loss": 0.8027, + "step": 32586 + }, + { + "epoch": 0.77, + "grad_norm": 1.4157346872227161, + "learning_rate": 2.6986865850693877e-06, + "loss": 0.9687, + "step": 32587 + }, + { + "epoch": 0.77, + "grad_norm": 1.7308941147390258, + "learning_rate": 2.6981652151569404e-06, + "loss": 0.9187, + "step": 32588 + }, + { + "epoch": 0.77, + "grad_norm": 1.6636787563091198, + "learning_rate": 2.6976438877580867e-06, + "loss": 0.9388, + "step": 32589 + }, + { + "epoch": 0.77, + "grad_norm": 1.6841393864283534, + "learning_rate": 2.6971226028758655e-06, + "loss": 0.7951, + "step": 32590 + }, + { + "epoch": 0.77, + "grad_norm": 1.626577728667814, + "learning_rate": 2.696601360513309e-06, + "loss": 0.8509, + "step": 32591 + }, + { + "epoch": 0.77, + "grad_norm": 1.8934752510249397, + "learning_rate": 2.6960801606734487e-06, + "loss": 0.8115, + "step": 32592 + }, + { + "epoch": 0.77, + "grad_norm": 1.6294604957343972, + "learning_rate": 2.6955590033593217e-06, + "loss": 0.8475, + "step": 32593 + }, + { + "epoch": 0.77, + "grad_norm": 1.6216278235184898, + "learning_rate": 2.695037888573966e-06, + "loss": 0.9048, + "step": 32594 + }, + { + "epoch": 0.77, + "grad_norm": 1.7023750808193556, + "learning_rate": 2.6945168163204116e-06, + "loss": 0.7917, + "step": 32595 + }, + { + "epoch": 0.77, + "grad_norm": 1.8825874817867296, + "learning_rate": 2.693995786601691e-06, + "loss": 0.7299, + "step": 32596 + }, + { + "epoch": 0.77, + "grad_norm": 1.6208791154435942, + "learning_rate": 2.6934747994208397e-06, + "loss": 0.8193, + "step": 32597 + }, + { + "epoch": 0.77, + "grad_norm": 1.8407083876219086, + "learning_rate": 2.692953854780894e-06, + "loss": 0.8609, + "step": 32598 + }, + { + "epoch": 0.77, + "grad_norm": 1.6272652130363603, + "learning_rate": 2.692432952684886e-06, + "loss": 0.7783, + "step": 32599 + }, + { + "epoch": 0.77, + "grad_norm": 1.7916757239543493, + "learning_rate": 2.691912093135842e-06, + "loss": 0.8179, + "step": 32600 + }, + { + "epoch": 0.77, + "grad_norm": 1.5502918634072815, + "learning_rate": 2.6913912761368e-06, + "loss": 0.8221, + "step": 32601 + }, + { + "epoch": 0.77, + "grad_norm": 1.7353389344033652, + "learning_rate": 2.6908705016907956e-06, + "loss": 0.8965, + "step": 32602 + }, + { + "epoch": 0.77, + "grad_norm": 1.5597430385206181, + "learning_rate": 2.6903497698008564e-06, + "loss": 0.804, + "step": 32603 + }, + { + "epoch": 0.77, + "grad_norm": 1.5065905316255888, + "learning_rate": 2.689829080470011e-06, + "loss": 0.844, + "step": 32604 + }, + { + "epoch": 0.77, + "grad_norm": 1.5291179629060412, + "learning_rate": 2.6893084337013e-06, + "loss": 0.7957, + "step": 32605 + }, + { + "epoch": 0.77, + "grad_norm": 1.8138226109662643, + "learning_rate": 2.6887878294977456e-06, + "loss": 0.8452, + "step": 32606 + }, + { + "epoch": 0.77, + "grad_norm": 1.641038501094703, + "learning_rate": 2.688267267862387e-06, + "loss": 0.9413, + "step": 32607 + }, + { + "epoch": 0.77, + "grad_norm": 1.5463381918654788, + "learning_rate": 2.687746748798248e-06, + "loss": 0.9472, + "step": 32608 + }, + { + "epoch": 0.77, + "grad_norm": 1.9837604855634636, + "learning_rate": 2.687226272308365e-06, + "loss": 0.8211, + "step": 32609 + }, + { + "epoch": 0.77, + "grad_norm": 1.7601967344972813, + "learning_rate": 2.6867058383957633e-06, + "loss": 0.8536, + "step": 32610 + }, + { + "epoch": 0.77, + "grad_norm": 1.7566022936067969, + "learning_rate": 2.6861854470634784e-06, + "loss": 0.9955, + "step": 32611 + }, + { + "epoch": 0.77, + "grad_norm": 1.5697798096024664, + "learning_rate": 2.685665098314537e-06, + "loss": 0.7848, + "step": 32612 + }, + { + "epoch": 0.77, + "grad_norm": 1.6216372453535637, + "learning_rate": 2.685144792151966e-06, + "loss": 0.793, + "step": 32613 + }, + { + "epoch": 0.77, + "grad_norm": 1.7924866291741461, + "learning_rate": 2.6846245285787985e-06, + "loss": 0.8455, + "step": 32614 + }, + { + "epoch": 0.77, + "grad_norm": 1.7031794978865424, + "learning_rate": 2.6841043075980653e-06, + "loss": 0.8243, + "step": 32615 + }, + { + "epoch": 0.77, + "grad_norm": 1.628811031298332, + "learning_rate": 2.683584129212794e-06, + "loss": 0.7623, + "step": 32616 + }, + { + "epoch": 0.77, + "grad_norm": 1.7679101627823903, + "learning_rate": 2.6830639934260084e-06, + "loss": 0.8171, + "step": 32617 + }, + { + "epoch": 0.77, + "grad_norm": 2.2012351989734196, + "learning_rate": 2.6825439002407405e-06, + "loss": 0.7456, + "step": 32618 + }, + { + "epoch": 0.77, + "grad_norm": 1.610518807213718, + "learning_rate": 2.682023849660023e-06, + "loss": 0.8802, + "step": 32619 + }, + { + "epoch": 0.77, + "grad_norm": 1.6785788939410473, + "learning_rate": 2.681503841686879e-06, + "loss": 0.8509, + "step": 32620 + }, + { + "epoch": 0.77, + "grad_norm": 1.6035037135737111, + "learning_rate": 2.6809838763243325e-06, + "loss": 0.8103, + "step": 32621 + }, + { + "epoch": 0.77, + "grad_norm": 1.450650088490838, + "learning_rate": 2.680463953575416e-06, + "loss": 0.846, + "step": 32622 + }, + { + "epoch": 0.77, + "grad_norm": 1.723598636461957, + "learning_rate": 2.679944073443158e-06, + "loss": 0.8031, + "step": 32623 + }, + { + "epoch": 0.77, + "grad_norm": 1.7045291275779213, + "learning_rate": 2.6794242359305843e-06, + "loss": 0.8497, + "step": 32624 + }, + { + "epoch": 0.77, + "grad_norm": 1.4923373299144533, + "learning_rate": 2.6789044410407162e-06, + "loss": 0.9232, + "step": 32625 + }, + { + "epoch": 0.77, + "grad_norm": 1.5910591532507874, + "learning_rate": 2.6783846887765886e-06, + "loss": 0.765, + "step": 32626 + }, + { + "epoch": 0.77, + "grad_norm": 1.5689879313375656, + "learning_rate": 2.6778649791412194e-06, + "loss": 0.7665, + "step": 32627 + }, + { + "epoch": 0.77, + "grad_norm": 1.877241561159656, + "learning_rate": 2.6773453121376414e-06, + "loss": 0.865, + "step": 32628 + }, + { + "epoch": 0.77, + "grad_norm": 1.7070743656926226, + "learning_rate": 2.6768256877688735e-06, + "loss": 0.7736, + "step": 32629 + }, + { + "epoch": 0.77, + "grad_norm": 1.8711175896839607, + "learning_rate": 2.6763061060379492e-06, + "loss": 0.921, + "step": 32630 + }, + { + "epoch": 0.77, + "grad_norm": 1.8066301658688468, + "learning_rate": 2.6757865669478854e-06, + "loss": 0.8593, + "step": 32631 + }, + { + "epoch": 0.77, + "grad_norm": 1.542589821943814, + "learning_rate": 2.6752670705017148e-06, + "loss": 0.6499, + "step": 32632 + }, + { + "epoch": 0.77, + "grad_norm": 1.5868036653192172, + "learning_rate": 2.6747476167024587e-06, + "loss": 0.9004, + "step": 32633 + }, + { + "epoch": 0.77, + "grad_norm": 1.4634457185483805, + "learning_rate": 2.674228205553138e-06, + "loss": 0.8564, + "step": 32634 + }, + { + "epoch": 0.77, + "grad_norm": 2.4280752200147546, + "learning_rate": 2.673708837056779e-06, + "loss": 0.79, + "step": 32635 + }, + { + "epoch": 0.77, + "grad_norm": 1.718832861023259, + "learning_rate": 2.6731895112164096e-06, + "loss": 0.7495, + "step": 32636 + }, + { + "epoch": 0.77, + "grad_norm": 1.5308257738656024, + "learning_rate": 2.6726702280350513e-06, + "loss": 0.941, + "step": 32637 + }, + { + "epoch": 0.77, + "grad_norm": 1.5717884315450417, + "learning_rate": 2.672150987515724e-06, + "loss": 0.8208, + "step": 32638 + }, + { + "epoch": 0.77, + "grad_norm": 2.7855515449685986, + "learning_rate": 2.671631789661453e-06, + "loss": 0.8572, + "step": 32639 + }, + { + "epoch": 0.77, + "grad_norm": 1.6406864595396695, + "learning_rate": 2.6711126344752647e-06, + "loss": 0.9276, + "step": 32640 + }, + { + "epoch": 0.77, + "grad_norm": 0.754123606515701, + "learning_rate": 2.6705935219601788e-06, + "loss": 0.7311, + "step": 32641 + }, + { + "epoch": 0.77, + "grad_norm": 1.632615922065591, + "learning_rate": 2.670074452119216e-06, + "loss": 0.7712, + "step": 32642 + }, + { + "epoch": 0.77, + "grad_norm": 1.6001054555451424, + "learning_rate": 2.669555424955399e-06, + "loss": 0.8748, + "step": 32643 + }, + { + "epoch": 0.77, + "grad_norm": 1.528087323131028, + "learning_rate": 2.669036440471754e-06, + "loss": 0.9732, + "step": 32644 + }, + { + "epoch": 0.77, + "grad_norm": 0.7759462200430781, + "learning_rate": 2.6685174986713012e-06, + "loss": 0.7425, + "step": 32645 + }, + { + "epoch": 0.77, + "grad_norm": 1.7597493666830324, + "learning_rate": 2.667998599557057e-06, + "loss": 0.7173, + "step": 32646 + }, + { + "epoch": 0.77, + "grad_norm": 1.64149027581005, + "learning_rate": 2.667479743132049e-06, + "loss": 0.9278, + "step": 32647 + }, + { + "epoch": 0.77, + "grad_norm": 1.474129788559318, + "learning_rate": 2.6669609293992914e-06, + "loss": 0.8318, + "step": 32648 + }, + { + "epoch": 0.77, + "grad_norm": 1.5081373870958954, + "learning_rate": 2.6664421583618138e-06, + "loss": 0.7454, + "step": 32649 + }, + { + "epoch": 0.77, + "grad_norm": 1.4810199741073764, + "learning_rate": 2.665923430022628e-06, + "loss": 0.7738, + "step": 32650 + }, + { + "epoch": 0.77, + "grad_norm": 1.6878803245100304, + "learning_rate": 2.6654047443847607e-06, + "loss": 0.769, + "step": 32651 + }, + { + "epoch": 0.77, + "grad_norm": 1.5482680933582258, + "learning_rate": 2.6648861014512263e-06, + "loss": 0.851, + "step": 32652 + }, + { + "epoch": 0.77, + "grad_norm": 1.8590728195126474, + "learning_rate": 2.664367501225049e-06, + "loss": 0.9068, + "step": 32653 + }, + { + "epoch": 0.77, + "grad_norm": 1.5740599485055893, + "learning_rate": 2.6638489437092486e-06, + "loss": 1.0539, + "step": 32654 + }, + { + "epoch": 0.77, + "grad_norm": 1.7129414094774187, + "learning_rate": 2.6633304289068384e-06, + "loss": 0.8407, + "step": 32655 + }, + { + "epoch": 0.77, + "grad_norm": 1.5133411564164694, + "learning_rate": 2.662811956820841e-06, + "loss": 0.7823, + "step": 32656 + }, + { + "epoch": 0.77, + "grad_norm": 1.5162598787642203, + "learning_rate": 2.662293527454275e-06, + "loss": 0.8344, + "step": 32657 + }, + { + "epoch": 0.77, + "grad_norm": 1.7365726074320043, + "learning_rate": 2.6617751408101655e-06, + "loss": 0.6762, + "step": 32658 + }, + { + "epoch": 0.77, + "grad_norm": 1.6525033947379146, + "learning_rate": 2.661256796891518e-06, + "loss": 0.8716, + "step": 32659 + }, + { + "epoch": 0.77, + "grad_norm": 0.7766876753551136, + "learning_rate": 2.6607384957013583e-06, + "loss": 0.6896, + "step": 32660 + }, + { + "epoch": 0.77, + "grad_norm": 1.7450348234779463, + "learning_rate": 2.6602202372427046e-06, + "loss": 0.8804, + "step": 32661 + }, + { + "epoch": 0.77, + "grad_norm": 1.7954540243760062, + "learning_rate": 2.659702021518572e-06, + "loss": 0.8745, + "step": 32662 + }, + { + "epoch": 0.77, + "grad_norm": 1.7175647960686915, + "learning_rate": 2.6591838485319754e-06, + "loss": 0.8531, + "step": 32663 + }, + { + "epoch": 0.77, + "grad_norm": 1.6242884507616338, + "learning_rate": 2.658665718285934e-06, + "loss": 0.8773, + "step": 32664 + }, + { + "epoch": 0.77, + "grad_norm": 2.802795320564319, + "learning_rate": 2.6581476307834697e-06, + "loss": 0.7751, + "step": 32665 + }, + { + "epoch": 0.77, + "grad_norm": 1.4353739666364684, + "learning_rate": 2.6576295860275927e-06, + "loss": 0.8828, + "step": 32666 + }, + { + "epoch": 0.77, + "grad_norm": 2.05815336580643, + "learning_rate": 2.657111584021318e-06, + "loss": 0.9069, + "step": 32667 + }, + { + "epoch": 0.77, + "grad_norm": 0.7527083342576893, + "learning_rate": 2.6565936247676684e-06, + "loss": 0.7059, + "step": 32668 + }, + { + "epoch": 0.77, + "grad_norm": 1.5808447976065616, + "learning_rate": 2.656075708269652e-06, + "loss": 0.7535, + "step": 32669 + }, + { + "epoch": 0.77, + "grad_norm": 1.4813811531346721, + "learning_rate": 2.655557834530288e-06, + "loss": 0.836, + "step": 32670 + }, + { + "epoch": 0.77, + "grad_norm": 2.8577714718894667, + "learning_rate": 2.6550400035525936e-06, + "loss": 0.8795, + "step": 32671 + }, + { + "epoch": 0.77, + "grad_norm": 1.9368165431762867, + "learning_rate": 2.6545222153395822e-06, + "loss": 0.9148, + "step": 32672 + }, + { + "epoch": 0.77, + "grad_norm": 1.8888227188089726, + "learning_rate": 2.6540044698942655e-06, + "loss": 0.6247, + "step": 32673 + }, + { + "epoch": 0.77, + "grad_norm": 1.6556586412169993, + "learning_rate": 2.6534867672196594e-06, + "loss": 0.948, + "step": 32674 + }, + { + "epoch": 0.77, + "grad_norm": 2.1370088494998307, + "learning_rate": 2.652969107318787e-06, + "loss": 0.9298, + "step": 32675 + }, + { + "epoch": 0.77, + "grad_norm": 1.5325241008156365, + "learning_rate": 2.6524514901946473e-06, + "loss": 0.7664, + "step": 32676 + }, + { + "epoch": 0.77, + "grad_norm": 1.7336707874870894, + "learning_rate": 2.651933915850261e-06, + "loss": 0.8335, + "step": 32677 + }, + { + "epoch": 0.77, + "grad_norm": 1.6556691709968998, + "learning_rate": 2.651416384288642e-06, + "loss": 0.7443, + "step": 32678 + }, + { + "epoch": 0.77, + "grad_norm": 1.4782822581582944, + "learning_rate": 2.6508988955128067e-06, + "loss": 0.7439, + "step": 32679 + }, + { + "epoch": 0.77, + "grad_norm": 1.6658031653008554, + "learning_rate": 2.6503814495257652e-06, + "loss": 0.8431, + "step": 32680 + }, + { + "epoch": 0.77, + "grad_norm": 1.5482899041958185, + "learning_rate": 2.649864046330526e-06, + "loss": 0.8427, + "step": 32681 + }, + { + "epoch": 0.77, + "grad_norm": 1.809490689879481, + "learning_rate": 2.6493466859301074e-06, + "loss": 1.0144, + "step": 32682 + }, + { + "epoch": 0.77, + "grad_norm": 0.8004297508298817, + "learning_rate": 2.6488293683275177e-06, + "loss": 0.6991, + "step": 32683 + }, + { + "epoch": 0.77, + "grad_norm": 1.8150233132265206, + "learning_rate": 2.6483120935257744e-06, + "loss": 0.7979, + "step": 32684 + }, + { + "epoch": 0.77, + "grad_norm": 0.7633614237581625, + "learning_rate": 2.6477948615278813e-06, + "loss": 0.7038, + "step": 32685 + }, + { + "epoch": 0.77, + "grad_norm": 1.7071314670171909, + "learning_rate": 2.6472776723368577e-06, + "loss": 0.7992, + "step": 32686 + }, + { + "epoch": 0.77, + "grad_norm": 1.5646277135591526, + "learning_rate": 2.646760525955708e-06, + "loss": 0.7985, + "step": 32687 + }, + { + "epoch": 0.77, + "grad_norm": 1.538031208298346, + "learning_rate": 2.64624342238745e-06, + "loss": 0.6705, + "step": 32688 + }, + { + "epoch": 0.77, + "grad_norm": 0.7913839136664498, + "learning_rate": 2.6457263616350915e-06, + "loss": 0.727, + "step": 32689 + }, + { + "epoch": 0.77, + "grad_norm": 0.7948505050826826, + "learning_rate": 2.645209343701638e-06, + "loss": 0.7726, + "step": 32690 + }, + { + "epoch": 0.77, + "grad_norm": 1.5235043157236547, + "learning_rate": 2.644692368590105e-06, + "loss": 0.9581, + "step": 32691 + }, + { + "epoch": 0.77, + "grad_norm": 1.823985610583316, + "learning_rate": 2.6441754363035045e-06, + "loss": 0.9174, + "step": 32692 + }, + { + "epoch": 0.77, + "grad_norm": 1.9390273045090904, + "learning_rate": 2.6436585468448438e-06, + "loss": 0.8134, + "step": 32693 + }, + { + "epoch": 0.77, + "grad_norm": 1.4639555523571608, + "learning_rate": 2.643141700217129e-06, + "loss": 0.7975, + "step": 32694 + }, + { + "epoch": 0.77, + "grad_norm": 2.248673521023939, + "learning_rate": 2.6426248964233725e-06, + "loss": 0.7945, + "step": 32695 + }, + { + "epoch": 0.77, + "grad_norm": 1.762426738623155, + "learning_rate": 2.6421081354665856e-06, + "loss": 0.8905, + "step": 32696 + }, + { + "epoch": 0.77, + "grad_norm": 1.7199270689934278, + "learning_rate": 2.6415914173497746e-06, + "loss": 0.852, + "step": 32697 + }, + { + "epoch": 0.77, + "grad_norm": 1.688868936274695, + "learning_rate": 2.6410747420759455e-06, + "loss": 0.8786, + "step": 32698 + }, + { + "epoch": 0.77, + "grad_norm": 2.214627445811065, + "learning_rate": 2.6405581096481083e-06, + "loss": 0.7953, + "step": 32699 + }, + { + "epoch": 0.77, + "grad_norm": 1.536159403652508, + "learning_rate": 2.6400415200692754e-06, + "loss": 0.8272, + "step": 32700 + }, + { + "epoch": 0.77, + "grad_norm": 1.847957422310279, + "learning_rate": 2.63952497334245e-06, + "loss": 0.8006, + "step": 32701 + }, + { + "epoch": 0.77, + "grad_norm": 1.6046582900818689, + "learning_rate": 2.639008469470639e-06, + "loss": 0.8492, + "step": 32702 + }, + { + "epoch": 0.77, + "grad_norm": 1.4642603003927381, + "learning_rate": 2.638492008456853e-06, + "loss": 0.8471, + "step": 32703 + }, + { + "epoch": 0.77, + "grad_norm": 1.718982498725891, + "learning_rate": 2.6379755903040947e-06, + "loss": 0.8839, + "step": 32704 + }, + { + "epoch": 0.77, + "grad_norm": 1.7050346735137547, + "learning_rate": 2.6374592150153755e-06, + "loss": 0.8702, + "step": 32705 + }, + { + "epoch": 0.77, + "grad_norm": 1.65754110201127, + "learning_rate": 2.6369428825936973e-06, + "loss": 0.8257, + "step": 32706 + }, + { + "epoch": 0.77, + "grad_norm": 1.8302629571282492, + "learning_rate": 2.636426593042072e-06, + "loss": 0.7747, + "step": 32707 + }, + { + "epoch": 0.77, + "grad_norm": 1.6410409613995374, + "learning_rate": 2.635910346363499e-06, + "loss": 0.8772, + "step": 32708 + }, + { + "epoch": 0.77, + "grad_norm": 1.575530776930972, + "learning_rate": 2.6353941425609907e-06, + "loss": 0.921, + "step": 32709 + }, + { + "epoch": 0.77, + "grad_norm": 1.5586995698422452, + "learning_rate": 2.634877981637548e-06, + "loss": 0.7851, + "step": 32710 + }, + { + "epoch": 0.77, + "grad_norm": 1.9977298357122015, + "learning_rate": 2.6343618635961765e-06, + "loss": 0.9021, + "step": 32711 + }, + { + "epoch": 0.77, + "grad_norm": 1.6281843786402583, + "learning_rate": 2.6338457884398805e-06, + "loss": 0.806, + "step": 32712 + }, + { + "epoch": 0.77, + "grad_norm": 1.9889009544176293, + "learning_rate": 2.6333297561716696e-06, + "loss": 0.7807, + "step": 32713 + }, + { + "epoch": 0.77, + "grad_norm": 1.6837686266846512, + "learning_rate": 2.6328137667945463e-06, + "loss": 0.8338, + "step": 32714 + }, + { + "epoch": 0.77, + "grad_norm": 0.7795051575009455, + "learning_rate": 2.6322978203115102e-06, + "loss": 0.6544, + "step": 32715 + }, + { + "epoch": 0.77, + "grad_norm": 1.922462206654627, + "learning_rate": 2.6317819167255676e-06, + "loss": 0.8118, + "step": 32716 + }, + { + "epoch": 0.77, + "grad_norm": 1.5189551586840546, + "learning_rate": 2.6312660560397273e-06, + "loss": 0.8825, + "step": 32717 + }, + { + "epoch": 0.77, + "grad_norm": 1.768923648450779, + "learning_rate": 2.6307502382569894e-06, + "loss": 0.7862, + "step": 32718 + }, + { + "epoch": 0.77, + "grad_norm": 1.8026385389681807, + "learning_rate": 2.6302344633803534e-06, + "loss": 0.8531, + "step": 32719 + }, + { + "epoch": 0.77, + "grad_norm": 1.6875282148024056, + "learning_rate": 2.6297187314128247e-06, + "loss": 0.7568, + "step": 32720 + }, + { + "epoch": 0.77, + "grad_norm": 1.5064891177059907, + "learning_rate": 2.629203042357411e-06, + "loss": 0.783, + "step": 32721 + }, + { + "epoch": 0.77, + "grad_norm": 1.5743041579222194, + "learning_rate": 2.62868739621711e-06, + "loss": 0.7779, + "step": 32722 + }, + { + "epoch": 0.77, + "grad_norm": 1.4852438040525284, + "learning_rate": 2.6281717929949226e-06, + "loss": 0.7777, + "step": 32723 + }, + { + "epoch": 0.77, + "grad_norm": 0.7949243995346114, + "learning_rate": 2.6276562326938516e-06, + "loss": 0.6605, + "step": 32724 + }, + { + "epoch": 0.77, + "grad_norm": 1.654373024971895, + "learning_rate": 2.6271407153169036e-06, + "loss": 0.8204, + "step": 32725 + }, + { + "epoch": 0.77, + "grad_norm": 1.7503747596833914, + "learning_rate": 2.6266252408670776e-06, + "loss": 1.0364, + "step": 32726 + }, + { + "epoch": 0.77, + "grad_norm": 1.6387048190937719, + "learning_rate": 2.626109809347369e-06, + "loss": 0.8387, + "step": 32727 + }, + { + "epoch": 0.77, + "grad_norm": 1.4054948143708408, + "learning_rate": 2.6255944207607885e-06, + "loss": 0.7291, + "step": 32728 + }, + { + "epoch": 0.77, + "grad_norm": 1.5281214818561704, + "learning_rate": 2.6250790751103282e-06, + "loss": 0.8108, + "step": 32729 + }, + { + "epoch": 0.77, + "grad_norm": 1.4355897482443307, + "learning_rate": 2.6245637723989946e-06, + "loss": 0.757, + "step": 32730 + }, + { + "epoch": 0.77, + "grad_norm": 0.7898697121951392, + "learning_rate": 2.6240485126297834e-06, + "loss": 0.7104, + "step": 32731 + }, + { + "epoch": 0.77, + "grad_norm": 1.5836281342024583, + "learning_rate": 2.6235332958057004e-06, + "loss": 0.7651, + "step": 32732 + }, + { + "epoch": 0.77, + "grad_norm": 2.6811534637330903, + "learning_rate": 2.6230181219297378e-06, + "loss": 0.8914, + "step": 32733 + }, + { + "epoch": 0.77, + "grad_norm": 1.7052033908080007, + "learning_rate": 2.6225029910049037e-06, + "loss": 0.9318, + "step": 32734 + }, + { + "epoch": 0.77, + "grad_norm": 1.5066972295622425, + "learning_rate": 2.621987903034192e-06, + "loss": 0.8516, + "step": 32735 + }, + { + "epoch": 0.77, + "grad_norm": 1.57029951795833, + "learning_rate": 2.6214728580205997e-06, + "loss": 0.8801, + "step": 32736 + }, + { + "epoch": 0.77, + "grad_norm": 1.6824648998737872, + "learning_rate": 2.620957855967128e-06, + "loss": 0.7297, + "step": 32737 + }, + { + "epoch": 0.77, + "grad_norm": 1.6416423100838544, + "learning_rate": 2.620442896876779e-06, + "loss": 0.8533, + "step": 32738 + }, + { + "epoch": 0.77, + "grad_norm": 1.6818907658613491, + "learning_rate": 2.619927980752548e-06, + "loss": 0.7835, + "step": 32739 + }, + { + "epoch": 0.77, + "grad_norm": 1.8403428748669868, + "learning_rate": 2.6194131075974294e-06, + "loss": 0.8196, + "step": 32740 + }, + { + "epoch": 0.77, + "grad_norm": 0.7902568471025226, + "learning_rate": 2.6188982774144245e-06, + "loss": 0.7126, + "step": 32741 + }, + { + "epoch": 0.77, + "grad_norm": 1.5748675694434517, + "learning_rate": 2.618383490206534e-06, + "loss": 0.7876, + "step": 32742 + }, + { + "epoch": 0.77, + "grad_norm": 1.7818148821076787, + "learning_rate": 2.6178687459767514e-06, + "loss": 0.8613, + "step": 32743 + }, + { + "epoch": 0.77, + "grad_norm": 1.977637455282083, + "learning_rate": 2.617354044728072e-06, + "loss": 0.956, + "step": 32744 + }, + { + "epoch": 0.77, + "grad_norm": 0.7482798339045645, + "learning_rate": 2.6168393864634935e-06, + "loss": 0.6787, + "step": 32745 + }, + { + "epoch": 0.77, + "grad_norm": 1.705515242104592, + "learning_rate": 2.6163247711860173e-06, + "loss": 0.8411, + "step": 32746 + }, + { + "epoch": 0.77, + "grad_norm": 1.7077887523369137, + "learning_rate": 2.615810198898635e-06, + "loss": 0.794, + "step": 32747 + }, + { + "epoch": 0.77, + "grad_norm": 1.8026477822887457, + "learning_rate": 2.615295669604342e-06, + "loss": 0.8969, + "step": 32748 + }, + { + "epoch": 0.77, + "grad_norm": 1.8290324731904617, + "learning_rate": 2.6147811833061376e-06, + "loss": 0.7334, + "step": 32749 + }, + { + "epoch": 0.77, + "grad_norm": 1.6414329731504707, + "learning_rate": 2.614266740007012e-06, + "loss": 0.8175, + "step": 32750 + }, + { + "epoch": 0.77, + "grad_norm": 1.4669929808153084, + "learning_rate": 2.6137523397099672e-06, + "loss": 0.8206, + "step": 32751 + }, + { + "epoch": 0.77, + "grad_norm": 1.5072790143884125, + "learning_rate": 2.6132379824179923e-06, + "loss": 0.7493, + "step": 32752 + }, + { + "epoch": 0.77, + "grad_norm": 1.4316944590981555, + "learning_rate": 2.612723668134086e-06, + "loss": 0.8008, + "step": 32753 + }, + { + "epoch": 0.77, + "grad_norm": 1.6135417457536079, + "learning_rate": 2.6122093968612393e-06, + "loss": 0.7894, + "step": 32754 + }, + { + "epoch": 0.77, + "grad_norm": 1.5853196709582027, + "learning_rate": 2.611695168602448e-06, + "loss": 0.9, + "step": 32755 + }, + { + "epoch": 0.77, + "grad_norm": 1.4990241474746364, + "learning_rate": 2.6111809833607126e-06, + "loss": 0.9582, + "step": 32756 + }, + { + "epoch": 0.77, + "grad_norm": 1.530851436815641, + "learning_rate": 2.6106668411390156e-06, + "loss": 0.8343, + "step": 32757 + }, + { + "epoch": 0.77, + "grad_norm": 1.5679929048739196, + "learning_rate": 2.610152741940355e-06, + "loss": 0.8154, + "step": 32758 + }, + { + "epoch": 0.77, + "grad_norm": 2.829247563015638, + "learning_rate": 2.609638685767725e-06, + "loss": 0.8411, + "step": 32759 + }, + { + "epoch": 0.77, + "grad_norm": 5.007233043499222, + "learning_rate": 2.609124672624124e-06, + "loss": 0.7468, + "step": 32760 + }, + { + "epoch": 0.77, + "grad_norm": 1.712031317464411, + "learning_rate": 2.608610702512533e-06, + "loss": 0.8172, + "step": 32761 + }, + { + "epoch": 0.77, + "grad_norm": 0.7975402681852121, + "learning_rate": 2.608096775435951e-06, + "loss": 0.6897, + "step": 32762 + }, + { + "epoch": 0.77, + "grad_norm": 1.8502741926952126, + "learning_rate": 2.607582891397372e-06, + "loss": 0.7175, + "step": 32763 + }, + { + "epoch": 0.77, + "grad_norm": 1.642248224794716, + "learning_rate": 2.6070690503997866e-06, + "loss": 0.6992, + "step": 32764 + }, + { + "epoch": 0.77, + "grad_norm": 1.8371722061155848, + "learning_rate": 2.6065552524461823e-06, + "loss": 0.9266, + "step": 32765 + }, + { + "epoch": 0.77, + "grad_norm": 2.050781422512865, + "learning_rate": 2.6060414975395543e-06, + "loss": 0.6419, + "step": 32766 + }, + { + "epoch": 0.77, + "grad_norm": 1.6601544605624148, + "learning_rate": 2.6055277856828964e-06, + "loss": 0.7435, + "step": 32767 + }, + { + "epoch": 0.77, + "grad_norm": 1.6696468052828095, + "learning_rate": 2.605014116879193e-06, + "loss": 0.9455, + "step": 32768 + }, + { + "epoch": 0.77, + "grad_norm": 0.8507768514791939, + "learning_rate": 2.604500491131443e-06, + "loss": 0.7508, + "step": 32769 + }, + { + "epoch": 0.77, + "grad_norm": 1.6997811442515232, + "learning_rate": 2.603986908442632e-06, + "loss": 0.8776, + "step": 32770 + }, + { + "epoch": 0.77, + "grad_norm": 1.5349890368973451, + "learning_rate": 2.6034733688157475e-06, + "loss": 0.7975, + "step": 32771 + }, + { + "epoch": 0.77, + "grad_norm": 1.8092256724195996, + "learning_rate": 2.602959872253783e-06, + "loss": 0.7817, + "step": 32772 + }, + { + "epoch": 0.77, + "grad_norm": 1.8671814327859666, + "learning_rate": 2.602446418759731e-06, + "loss": 0.7831, + "step": 32773 + }, + { + "epoch": 0.77, + "grad_norm": 1.8409315945180384, + "learning_rate": 2.6019330083365778e-06, + "loss": 0.8513, + "step": 32774 + }, + { + "epoch": 0.77, + "grad_norm": 3.435367893846145, + "learning_rate": 2.6014196409873104e-06, + "loss": 0.8257, + "step": 32775 + }, + { + "epoch": 0.77, + "grad_norm": 1.7206730303449134, + "learning_rate": 2.6009063167149195e-06, + "loss": 0.853, + "step": 32776 + }, + { + "epoch": 0.77, + "grad_norm": 1.7718523927765457, + "learning_rate": 2.600393035522398e-06, + "loss": 0.926, + "step": 32777 + }, + { + "epoch": 0.77, + "grad_norm": 1.5281464990140678, + "learning_rate": 2.599879797412731e-06, + "loss": 0.7181, + "step": 32778 + }, + { + "epoch": 0.77, + "grad_norm": 1.6793544064058545, + "learning_rate": 2.599366602388903e-06, + "loss": 0.7798, + "step": 32779 + }, + { + "epoch": 0.77, + "grad_norm": 1.9399453409026863, + "learning_rate": 2.5988534504539065e-06, + "loss": 0.8693, + "step": 32780 + }, + { + "epoch": 0.77, + "grad_norm": 1.7831297121755993, + "learning_rate": 2.598340341610731e-06, + "loss": 0.8141, + "step": 32781 + }, + { + "epoch": 0.77, + "grad_norm": 3.257253201529947, + "learning_rate": 2.597827275862361e-06, + "loss": 0.7828, + "step": 32782 + }, + { + "epoch": 0.77, + "grad_norm": 1.5984956439478835, + "learning_rate": 2.597314253211781e-06, + "loss": 0.8267, + "step": 32783 + }, + { + "epoch": 0.77, + "grad_norm": 1.5971242442176767, + "learning_rate": 2.596801273661985e-06, + "loss": 0.862, + "step": 32784 + }, + { + "epoch": 0.77, + "grad_norm": 2.0209219744254927, + "learning_rate": 2.596288337215952e-06, + "loss": 0.731, + "step": 32785 + }, + { + "epoch": 0.77, + "grad_norm": 1.8170753036892282, + "learning_rate": 2.595775443876676e-06, + "loss": 0.6851, + "step": 32786 + }, + { + "epoch": 0.77, + "grad_norm": 2.2639622133620487, + "learning_rate": 2.5952625936471354e-06, + "loss": 0.7574, + "step": 32787 + }, + { + "epoch": 0.77, + "grad_norm": 1.7348125035398387, + "learning_rate": 2.594749786530324e-06, + "loss": 0.8166, + "step": 32788 + }, + { + "epoch": 0.77, + "grad_norm": 1.5308455261951042, + "learning_rate": 2.5942370225292214e-06, + "loss": 0.7654, + "step": 32789 + }, + { + "epoch": 0.77, + "grad_norm": 1.888964985186458, + "learning_rate": 2.593724301646817e-06, + "loss": 0.8172, + "step": 32790 + }, + { + "epoch": 0.77, + "grad_norm": 1.5191665600170952, + "learning_rate": 2.593211623886096e-06, + "loss": 0.801, + "step": 32791 + }, + { + "epoch": 0.77, + "grad_norm": 1.5531671781564553, + "learning_rate": 2.5926989892500376e-06, + "loss": 0.8648, + "step": 32792 + }, + { + "epoch": 0.77, + "grad_norm": 1.6590609187666663, + "learning_rate": 2.5921863977416316e-06, + "loss": 0.8829, + "step": 32793 + }, + { + "epoch": 0.77, + "grad_norm": 1.6838099241734317, + "learning_rate": 2.5916738493638638e-06, + "loss": 0.757, + "step": 32794 + }, + { + "epoch": 0.77, + "grad_norm": 1.9223463814648782, + "learning_rate": 2.591161344119717e-06, + "loss": 0.8284, + "step": 32795 + }, + { + "epoch": 0.77, + "grad_norm": 1.6410696877739381, + "learning_rate": 2.590648882012172e-06, + "loss": 0.7488, + "step": 32796 + }, + { + "epoch": 0.77, + "grad_norm": 1.918600805373053, + "learning_rate": 2.5901364630442136e-06, + "loss": 0.8634, + "step": 32797 + }, + { + "epoch": 0.77, + "grad_norm": 1.7497708925715414, + "learning_rate": 2.5896240872188305e-06, + "loss": 0.8013, + "step": 32798 + }, + { + "epoch": 0.77, + "grad_norm": 1.5124145494142067, + "learning_rate": 2.589111754539002e-06, + "loss": 0.8376, + "step": 32799 + }, + { + "epoch": 0.77, + "grad_norm": 0.7426358158285767, + "learning_rate": 2.5885994650077086e-06, + "loss": 0.6879, + "step": 32800 + }, + { + "epoch": 0.77, + "grad_norm": 1.5992217280849217, + "learning_rate": 2.588087218627935e-06, + "loss": 0.9156, + "step": 32801 + }, + { + "epoch": 0.77, + "grad_norm": 1.6911188501161813, + "learning_rate": 2.587575015402667e-06, + "loss": 0.8373, + "step": 32802 + }, + { + "epoch": 0.77, + "grad_norm": 1.5211911359999069, + "learning_rate": 2.587062855334884e-06, + "loss": 0.9656, + "step": 32803 + }, + { + "epoch": 0.77, + "grad_norm": 1.875122346214352, + "learning_rate": 2.5865507384275646e-06, + "loss": 0.8893, + "step": 32804 + }, + { + "epoch": 0.77, + "grad_norm": 0.7645234211534959, + "learning_rate": 2.586038664683698e-06, + "loss": 0.6655, + "step": 32805 + }, + { + "epoch": 0.77, + "grad_norm": 1.7665036271629018, + "learning_rate": 2.585526634106258e-06, + "loss": 0.8511, + "step": 32806 + }, + { + "epoch": 0.77, + "grad_norm": 1.8307199568762555, + "learning_rate": 2.585014646698232e-06, + "loss": 0.9501, + "step": 32807 + }, + { + "epoch": 0.77, + "grad_norm": 1.7184728330207157, + "learning_rate": 2.584502702462596e-06, + "loss": 0.844, + "step": 32808 + }, + { + "epoch": 0.77, + "grad_norm": 1.5647184312409388, + "learning_rate": 2.5839908014023353e-06, + "loss": 0.7955, + "step": 32809 + }, + { + "epoch": 0.77, + "grad_norm": 1.6245419128889458, + "learning_rate": 2.5834789435204245e-06, + "loss": 0.8996, + "step": 32810 + }, + { + "epoch": 0.77, + "grad_norm": 1.6073189841318534, + "learning_rate": 2.582967128819851e-06, + "loss": 0.8245, + "step": 32811 + }, + { + "epoch": 0.77, + "grad_norm": 1.8755047938519491, + "learning_rate": 2.5824553573035914e-06, + "loss": 0.799, + "step": 32812 + }, + { + "epoch": 0.77, + "grad_norm": 1.6576753920810152, + "learning_rate": 2.581943628974621e-06, + "loss": 0.8117, + "step": 32813 + }, + { + "epoch": 0.77, + "grad_norm": 1.7228241505686586, + "learning_rate": 2.581431943835925e-06, + "loss": 0.8672, + "step": 32814 + }, + { + "epoch": 0.77, + "grad_norm": 1.5468249501032918, + "learning_rate": 2.5809203018904828e-06, + "loss": 0.7745, + "step": 32815 + }, + { + "epoch": 0.77, + "grad_norm": 2.985118662937876, + "learning_rate": 2.5804087031412705e-06, + "loss": 0.8398, + "step": 32816 + }, + { + "epoch": 0.77, + "grad_norm": 0.7939517741157377, + "learning_rate": 2.579897147591266e-06, + "loss": 0.7228, + "step": 32817 + }, + { + "epoch": 0.77, + "grad_norm": 1.5905645902889765, + "learning_rate": 2.57938563524345e-06, + "loss": 0.9127, + "step": 32818 + }, + { + "epoch": 0.77, + "grad_norm": 1.4612225747688738, + "learning_rate": 2.578874166100802e-06, + "loss": 0.9805, + "step": 32819 + }, + { + "epoch": 0.77, + "grad_norm": 1.5719890508750958, + "learning_rate": 2.578362740166298e-06, + "loss": 0.7627, + "step": 32820 + }, + { + "epoch": 0.77, + "grad_norm": 1.5206332899531492, + "learning_rate": 2.5778513574429143e-06, + "loss": 0.8758, + "step": 32821 + }, + { + "epoch": 0.77, + "grad_norm": 1.6752051319240033, + "learning_rate": 2.577340017933628e-06, + "loss": 0.859, + "step": 32822 + }, + { + "epoch": 0.77, + "grad_norm": 1.5615273882876761, + "learning_rate": 2.5768287216414224e-06, + "loss": 0.92, + "step": 32823 + }, + { + "epoch": 0.77, + "grad_norm": 2.4807394625043404, + "learning_rate": 2.5763174685692693e-06, + "loss": 0.9317, + "step": 32824 + }, + { + "epoch": 0.77, + "grad_norm": 1.5744845254374042, + "learning_rate": 2.5758062587201436e-06, + "loss": 0.6843, + "step": 32825 + }, + { + "epoch": 0.77, + "grad_norm": 1.5498472481812064, + "learning_rate": 2.5752950920970278e-06, + "loss": 0.9042, + "step": 32826 + }, + { + "epoch": 0.77, + "grad_norm": 1.755079854990465, + "learning_rate": 2.574783968702891e-06, + "loss": 0.7743, + "step": 32827 + }, + { + "epoch": 0.77, + "grad_norm": 2.029861000202127, + "learning_rate": 2.5742728885407153e-06, + "loss": 0.9769, + "step": 32828 + }, + { + "epoch": 0.77, + "grad_norm": 1.6049776625964123, + "learning_rate": 2.573761851613471e-06, + "loss": 0.9077, + "step": 32829 + }, + { + "epoch": 0.77, + "grad_norm": 0.7894419890484946, + "learning_rate": 2.57325085792414e-06, + "loss": 0.7055, + "step": 32830 + }, + { + "epoch": 0.77, + "grad_norm": 1.678512993887734, + "learning_rate": 2.57273990747569e-06, + "loss": 0.8612, + "step": 32831 + }, + { + "epoch": 0.77, + "grad_norm": 1.5666456541617262, + "learning_rate": 2.5722290002711025e-06, + "loss": 0.8027, + "step": 32832 + }, + { + "epoch": 0.77, + "grad_norm": 1.5688321435311587, + "learning_rate": 2.57171813631335e-06, + "loss": 0.8858, + "step": 32833 + }, + { + "epoch": 0.77, + "grad_norm": 1.9831649485772456, + "learning_rate": 2.571207315605404e-06, + "loss": 0.9431, + "step": 32834 + }, + { + "epoch": 0.77, + "grad_norm": 0.7112067659022633, + "learning_rate": 2.5706965381502392e-06, + "loss": 0.7089, + "step": 32835 + }, + { + "epoch": 0.77, + "grad_norm": 1.692493244953774, + "learning_rate": 2.5701858039508354e-06, + "loss": 0.8914, + "step": 32836 + }, + { + "epoch": 0.77, + "grad_norm": 1.5880686158464001, + "learning_rate": 2.5696751130101614e-06, + "loss": 0.8803, + "step": 32837 + }, + { + "epoch": 0.77, + "grad_norm": 1.4366481039978511, + "learning_rate": 2.5691644653311887e-06, + "loss": 0.8152, + "step": 32838 + }, + { + "epoch": 0.77, + "grad_norm": 1.7538061332928323, + "learning_rate": 2.5686538609168932e-06, + "loss": 0.715, + "step": 32839 + }, + { + "epoch": 0.77, + "grad_norm": 2.1320637060524223, + "learning_rate": 2.568143299770247e-06, + "loss": 0.8676, + "step": 32840 + }, + { + "epoch": 0.77, + "grad_norm": 1.5487457537567297, + "learning_rate": 2.5676327818942305e-06, + "loss": 0.7115, + "step": 32841 + }, + { + "epoch": 0.77, + "grad_norm": 2.2306682160886773, + "learning_rate": 2.567122307291803e-06, + "loss": 0.7049, + "step": 32842 + }, + { + "epoch": 0.77, + "grad_norm": 1.6762969629651383, + "learning_rate": 2.566611875965941e-06, + "loss": 0.814, + "step": 32843 + }, + { + "epoch": 0.77, + "grad_norm": 1.7666162560052487, + "learning_rate": 2.5661014879196223e-06, + "loss": 0.8941, + "step": 32844 + }, + { + "epoch": 0.77, + "grad_norm": 1.5174632645931998, + "learning_rate": 2.5655911431558145e-06, + "loss": 0.809, + "step": 32845 + }, + { + "epoch": 0.77, + "grad_norm": 1.7068359859844457, + "learning_rate": 2.565080841677484e-06, + "loss": 0.709, + "step": 32846 + }, + { + "epoch": 0.77, + "grad_norm": 1.6608791582350109, + "learning_rate": 2.564570583487609e-06, + "loss": 0.8432, + "step": 32847 + }, + { + "epoch": 0.77, + "grad_norm": 1.7241365416989893, + "learning_rate": 2.5640603685891597e-06, + "loss": 0.9294, + "step": 32848 + }, + { + "epoch": 0.77, + "grad_norm": 1.5894113391660323, + "learning_rate": 2.563550196985105e-06, + "loss": 0.8914, + "step": 32849 + }, + { + "epoch": 0.77, + "grad_norm": 1.6589012592974386, + "learning_rate": 2.5630400686784128e-06, + "loss": 0.8515, + "step": 32850 + }, + { + "epoch": 0.77, + "grad_norm": 0.833951224457186, + "learning_rate": 2.5625299836720597e-06, + "loss": 0.7763, + "step": 32851 + }, + { + "epoch": 0.77, + "grad_norm": 0.7786020676441883, + "learning_rate": 2.5620199419690074e-06, + "loss": 0.7007, + "step": 32852 + }, + { + "epoch": 0.77, + "grad_norm": 1.4446158477420508, + "learning_rate": 2.56150994357223e-06, + "loss": 0.7474, + "step": 32853 + }, + { + "epoch": 0.77, + "grad_norm": 1.5304739542814096, + "learning_rate": 2.5609999884847003e-06, + "loss": 0.7096, + "step": 32854 + }, + { + "epoch": 0.77, + "grad_norm": 1.612493845517012, + "learning_rate": 2.560490076709383e-06, + "loss": 0.8874, + "step": 32855 + }, + { + "epoch": 0.77, + "grad_norm": 1.5583659507108916, + "learning_rate": 2.559980208249245e-06, + "loss": 0.9204, + "step": 32856 + }, + { + "epoch": 0.77, + "grad_norm": 1.641697599881944, + "learning_rate": 2.5594703831072586e-06, + "loss": 0.7905, + "step": 32857 + }, + { + "epoch": 0.77, + "grad_norm": 1.7358758991557048, + "learning_rate": 2.5589606012863968e-06, + "loss": 0.8283, + "step": 32858 + }, + { + "epoch": 0.77, + "grad_norm": 1.7766465819281427, + "learning_rate": 2.5584508627896155e-06, + "loss": 0.719, + "step": 32859 + }, + { + "epoch": 0.77, + "grad_norm": 1.6782297873747836, + "learning_rate": 2.5579411676198897e-06, + "loss": 0.8226, + "step": 32860 + }, + { + "epoch": 0.77, + "grad_norm": 1.9795786424139228, + "learning_rate": 2.5574315157801867e-06, + "loss": 0.8563, + "step": 32861 + }, + { + "epoch": 0.77, + "grad_norm": 0.7305232416733655, + "learning_rate": 2.55692190727348e-06, + "loss": 0.6827, + "step": 32862 + }, + { + "epoch": 0.77, + "grad_norm": 1.64516669410839, + "learning_rate": 2.556412342102723e-06, + "loss": 0.8215, + "step": 32863 + }, + { + "epoch": 0.77, + "grad_norm": 1.6338905692276031, + "learning_rate": 2.5559028202708913e-06, + "loss": 0.9865, + "step": 32864 + }, + { + "epoch": 0.77, + "grad_norm": 1.6189252149251367, + "learning_rate": 2.555393341780953e-06, + "loss": 0.8873, + "step": 32865 + }, + { + "epoch": 0.77, + "grad_norm": 1.506382167117885, + "learning_rate": 2.554883906635868e-06, + "loss": 0.8619, + "step": 32866 + }, + { + "epoch": 0.77, + "grad_norm": 2.051528965704495, + "learning_rate": 2.554374514838609e-06, + "loss": 0.7872, + "step": 32867 + }, + { + "epoch": 0.77, + "grad_norm": 1.4414462356009294, + "learning_rate": 2.5538651663921367e-06, + "loss": 0.7829, + "step": 32868 + }, + { + "epoch": 0.77, + "grad_norm": 1.7566555756030933, + "learning_rate": 2.5533558612994213e-06, + "loss": 0.9399, + "step": 32869 + }, + { + "epoch": 0.77, + "grad_norm": 1.5550144727221131, + "learning_rate": 2.5528465995634223e-06, + "loss": 0.8187, + "step": 32870 + }, + { + "epoch": 0.77, + "grad_norm": 1.564440706255999, + "learning_rate": 2.552337381187111e-06, + "loss": 0.7001, + "step": 32871 + }, + { + "epoch": 0.77, + "grad_norm": 1.690473522411835, + "learning_rate": 2.5518282061734502e-06, + "loss": 0.7805, + "step": 32872 + }, + { + "epoch": 0.77, + "grad_norm": 3.1454120548945124, + "learning_rate": 2.5513190745254e-06, + "loss": 0.7476, + "step": 32873 + }, + { + "epoch": 0.77, + "grad_norm": 2.256219256891183, + "learning_rate": 2.550809986245929e-06, + "loss": 0.9052, + "step": 32874 + }, + { + "epoch": 0.77, + "grad_norm": 1.5961287120365415, + "learning_rate": 2.5503009413380033e-06, + "loss": 0.8843, + "step": 32875 + }, + { + "epoch": 0.77, + "grad_norm": 1.4594214469652598, + "learning_rate": 2.5497919398045833e-06, + "loss": 0.8071, + "step": 32876 + }, + { + "epoch": 0.77, + "grad_norm": 1.8153781575432906, + "learning_rate": 2.549282981648631e-06, + "loss": 0.8557, + "step": 32877 + }, + { + "epoch": 0.77, + "grad_norm": 1.5147995778845846, + "learning_rate": 2.548774066873112e-06, + "loss": 0.8417, + "step": 32878 + }, + { + "epoch": 0.77, + "grad_norm": 1.5460658523846456, + "learning_rate": 2.548265195480992e-06, + "loss": 0.8192, + "step": 32879 + }, + { + "epoch": 0.77, + "grad_norm": 1.7435332325595967, + "learning_rate": 2.5477563674752327e-06, + "loss": 0.8303, + "step": 32880 + }, + { + "epoch": 0.77, + "grad_norm": 1.6275461929029877, + "learning_rate": 2.5472475828587906e-06, + "loss": 1.0199, + "step": 32881 + }, + { + "epoch": 0.77, + "grad_norm": 1.6301997845889302, + "learning_rate": 2.546738841634633e-06, + "loss": 0.8936, + "step": 32882 + }, + { + "epoch": 0.77, + "grad_norm": 0.7652847061759771, + "learning_rate": 2.5462301438057245e-06, + "loss": 0.7765, + "step": 32883 + }, + { + "epoch": 0.77, + "grad_norm": 1.6351931793621537, + "learning_rate": 2.545721489375024e-06, + "loss": 0.7665, + "step": 32884 + }, + { + "epoch": 0.77, + "grad_norm": 1.5718881855571247, + "learning_rate": 2.54521287834549e-06, + "loss": 0.7464, + "step": 32885 + }, + { + "epoch": 0.77, + "grad_norm": 1.7061064895129214, + "learning_rate": 2.5447043107200895e-06, + "loss": 0.8731, + "step": 32886 + }, + { + "epoch": 0.77, + "grad_norm": 1.6529294933281566, + "learning_rate": 2.5441957865017784e-06, + "loss": 0.7606, + "step": 32887 + }, + { + "epoch": 0.77, + "grad_norm": 1.4772743424966606, + "learning_rate": 2.543687305693523e-06, + "loss": 0.8388, + "step": 32888 + }, + { + "epoch": 0.77, + "grad_norm": 1.5122112297245247, + "learning_rate": 2.543178868298277e-06, + "loss": 0.8757, + "step": 32889 + }, + { + "epoch": 0.77, + "grad_norm": 2.123120783993959, + "learning_rate": 2.542670474319008e-06, + "loss": 0.8273, + "step": 32890 + }, + { + "epoch": 0.77, + "grad_norm": 1.5478076245663208, + "learning_rate": 2.542162123758669e-06, + "loss": 0.7603, + "step": 32891 + }, + { + "epoch": 0.77, + "grad_norm": 2.0232627874030746, + "learning_rate": 2.5416538166202267e-06, + "loss": 0.7958, + "step": 32892 + }, + { + "epoch": 0.77, + "grad_norm": 1.6678304823618215, + "learning_rate": 2.5411455529066363e-06, + "loss": 0.8216, + "step": 32893 + }, + { + "epoch": 0.77, + "grad_norm": 1.4491216377263318, + "learning_rate": 2.5406373326208554e-06, + "loss": 0.8189, + "step": 32894 + }, + { + "epoch": 0.77, + "grad_norm": 1.6415677845442356, + "learning_rate": 2.5401291557658457e-06, + "loss": 0.9447, + "step": 32895 + }, + { + "epoch": 0.78, + "grad_norm": 1.6850466526053862, + "learning_rate": 2.5396210223445684e-06, + "loss": 0.8373, + "step": 32896 + }, + { + "epoch": 0.78, + "grad_norm": 1.7614405773963633, + "learning_rate": 2.5391129323599796e-06, + "loss": 0.8711, + "step": 32897 + }, + { + "epoch": 0.78, + "grad_norm": 1.8788359648183102, + "learning_rate": 2.5386048858150346e-06, + "loss": 0.9083, + "step": 32898 + }, + { + "epoch": 0.78, + "grad_norm": 2.5472759103447635, + "learning_rate": 2.5380968827126937e-06, + "loss": 0.8384, + "step": 32899 + }, + { + "epoch": 0.78, + "grad_norm": 2.775741126311582, + "learning_rate": 2.5375889230559192e-06, + "loss": 0.8461, + "step": 32900 + }, + { + "epoch": 0.78, + "grad_norm": 1.6796406140721412, + "learning_rate": 2.5370810068476637e-06, + "loss": 0.8231, + "step": 32901 + }, + { + "epoch": 0.78, + "grad_norm": 1.4653245055931128, + "learning_rate": 2.536573134090883e-06, + "loss": 0.8016, + "step": 32902 + }, + { + "epoch": 0.78, + "grad_norm": 1.5013699962346343, + "learning_rate": 2.5360653047885352e-06, + "loss": 0.809, + "step": 32903 + }, + { + "epoch": 0.78, + "grad_norm": 1.859223178674082, + "learning_rate": 2.535557518943582e-06, + "loss": 0.8405, + "step": 32904 + }, + { + "epoch": 0.78, + "grad_norm": 1.5392811703900295, + "learning_rate": 2.5350497765589765e-06, + "loss": 0.788, + "step": 32905 + }, + { + "epoch": 0.78, + "grad_norm": 1.5625054667980702, + "learning_rate": 2.5345420776376706e-06, + "loss": 0.9114, + "step": 32906 + }, + { + "epoch": 0.78, + "grad_norm": 1.694105841591771, + "learning_rate": 2.5340344221826287e-06, + "loss": 0.8123, + "step": 32907 + }, + { + "epoch": 0.78, + "grad_norm": 0.8101355254298463, + "learning_rate": 2.533526810196798e-06, + "loss": 0.6765, + "step": 32908 + }, + { + "epoch": 0.78, + "grad_norm": 0.7583564893969102, + "learning_rate": 2.5330192416831413e-06, + "loss": 0.7068, + "step": 32909 + }, + { + "epoch": 0.78, + "grad_norm": 2.8342218761455045, + "learning_rate": 2.5325117166446065e-06, + "loss": 0.7461, + "step": 32910 + }, + { + "epoch": 0.78, + "grad_norm": 1.5580418685674988, + "learning_rate": 2.5320042350841577e-06, + "loss": 0.9089, + "step": 32911 + }, + { + "epoch": 0.78, + "grad_norm": 1.7161402384394127, + "learning_rate": 2.53149679700474e-06, + "loss": 0.853, + "step": 32912 + }, + { + "epoch": 0.78, + "grad_norm": 1.4417767580772691, + "learning_rate": 2.5309894024093163e-06, + "loss": 0.8462, + "step": 32913 + }, + { + "epoch": 0.78, + "grad_norm": 1.710881031781218, + "learning_rate": 2.5304820513008364e-06, + "loss": 0.9003, + "step": 32914 + }, + { + "epoch": 0.78, + "grad_norm": 1.557244530332757, + "learning_rate": 2.529974743682252e-06, + "loss": 0.8815, + "step": 32915 + }, + { + "epoch": 0.78, + "grad_norm": 1.74029722228033, + "learning_rate": 2.52946747955652e-06, + "loss": 0.6569, + "step": 32916 + }, + { + "epoch": 0.78, + "grad_norm": 1.5705577272025664, + "learning_rate": 2.528960258926596e-06, + "loss": 0.8122, + "step": 32917 + }, + { + "epoch": 0.78, + "grad_norm": 1.4140403284831187, + "learning_rate": 2.52845308179543e-06, + "loss": 0.8312, + "step": 32918 + }, + { + "epoch": 0.78, + "grad_norm": 1.8692989961621467, + "learning_rate": 2.527945948165974e-06, + "loss": 0.7821, + "step": 32919 + }, + { + "epoch": 0.78, + "grad_norm": 1.6996923122635796, + "learning_rate": 2.5274388580411813e-06, + "loss": 0.9057, + "step": 32920 + }, + { + "epoch": 0.78, + "grad_norm": 1.885341263331393, + "learning_rate": 2.5269318114240092e-06, + "loss": 0.845, + "step": 32921 + }, + { + "epoch": 0.78, + "grad_norm": 0.7696553182802881, + "learning_rate": 2.5264248083174047e-06, + "loss": 0.6639, + "step": 32922 + }, + { + "epoch": 0.78, + "grad_norm": 1.5481896050120993, + "learning_rate": 2.5259178487243197e-06, + "loss": 0.8383, + "step": 32923 + }, + { + "epoch": 0.78, + "grad_norm": 1.7611467900701938, + "learning_rate": 2.525410932647706e-06, + "loss": 0.8556, + "step": 32924 + }, + { + "epoch": 0.78, + "grad_norm": 2.3176425475513405, + "learning_rate": 2.5249040600905195e-06, + "loss": 0.7569, + "step": 32925 + }, + { + "epoch": 0.78, + "grad_norm": 1.4843896966876418, + "learning_rate": 2.5243972310557087e-06, + "loss": 0.8485, + "step": 32926 + }, + { + "epoch": 0.78, + "grad_norm": 1.682046825952492, + "learning_rate": 2.523890445546221e-06, + "loss": 0.7748, + "step": 32927 + }, + { + "epoch": 0.78, + "grad_norm": 1.5548905928003753, + "learning_rate": 2.523383703565012e-06, + "loss": 0.9043, + "step": 32928 + }, + { + "epoch": 0.78, + "grad_norm": 1.6432819487762957, + "learning_rate": 2.5228770051150274e-06, + "loss": 0.8807, + "step": 32929 + }, + { + "epoch": 0.78, + "grad_norm": 0.7261292478254173, + "learning_rate": 2.5223703501992234e-06, + "loss": 0.6706, + "step": 32930 + }, + { + "epoch": 0.78, + "grad_norm": 1.5668984629970137, + "learning_rate": 2.521863738820545e-06, + "loss": 0.8163, + "step": 32931 + }, + { + "epoch": 0.78, + "grad_norm": 2.04463042738263, + "learning_rate": 2.521357170981944e-06, + "loss": 0.7827, + "step": 32932 + }, + { + "epoch": 0.78, + "grad_norm": 1.6053746351329126, + "learning_rate": 2.520850646686368e-06, + "loss": 0.836, + "step": 32933 + }, + { + "epoch": 0.78, + "grad_norm": 1.7598461383990174, + "learning_rate": 2.52034416593677e-06, + "loss": 0.7302, + "step": 32934 + }, + { + "epoch": 0.78, + "grad_norm": 2.1162966609132314, + "learning_rate": 2.5198377287360954e-06, + "loss": 0.9355, + "step": 32935 + }, + { + "epoch": 0.78, + "grad_norm": 1.542709780735885, + "learning_rate": 2.519331335087292e-06, + "loss": 0.8103, + "step": 32936 + }, + { + "epoch": 0.78, + "grad_norm": 0.8570619342172805, + "learning_rate": 2.5188249849933087e-06, + "loss": 0.7386, + "step": 32937 + }, + { + "epoch": 0.78, + "grad_norm": 1.7016474160643782, + "learning_rate": 2.5183186784570957e-06, + "loss": 0.7469, + "step": 32938 + }, + { + "epoch": 0.78, + "grad_norm": 1.7523323298264502, + "learning_rate": 2.5178124154816052e-06, + "loss": 0.7631, + "step": 32939 + }, + { + "epoch": 0.78, + "grad_norm": 1.794362034619696, + "learning_rate": 2.5173061960697744e-06, + "loss": 0.8598, + "step": 32940 + }, + { + "epoch": 0.78, + "grad_norm": 1.7692705654104055, + "learning_rate": 2.516800020224556e-06, + "loss": 0.7761, + "step": 32941 + }, + { + "epoch": 0.78, + "grad_norm": 1.5974520247668784, + "learning_rate": 2.5162938879488996e-06, + "loss": 0.7996, + "step": 32942 + }, + { + "epoch": 0.78, + "grad_norm": 0.786794145847017, + "learning_rate": 2.5157877992457493e-06, + "loss": 0.7052, + "step": 32943 + }, + { + "epoch": 0.78, + "grad_norm": 1.5964943978796777, + "learning_rate": 2.5152817541180484e-06, + "loss": 0.6847, + "step": 32944 + }, + { + "epoch": 0.78, + "grad_norm": 1.4643457830526287, + "learning_rate": 2.5147757525687477e-06, + "loss": 0.9359, + "step": 32945 + }, + { + "epoch": 0.78, + "grad_norm": 1.5146029214065857, + "learning_rate": 2.5142697946007955e-06, + "loss": 0.829, + "step": 32946 + }, + { + "epoch": 0.78, + "grad_norm": 2.153951686871119, + "learning_rate": 2.5137638802171337e-06, + "loss": 0.8338, + "step": 32947 + }, + { + "epoch": 0.78, + "grad_norm": 1.4882709063679902, + "learning_rate": 2.513258009420707e-06, + "loss": 0.7947, + "step": 32948 + }, + { + "epoch": 0.78, + "grad_norm": 1.7200013201806208, + "learning_rate": 2.512752182214464e-06, + "loss": 0.9424, + "step": 32949 + }, + { + "epoch": 0.78, + "grad_norm": 1.9965458028712912, + "learning_rate": 2.5122463986013458e-06, + "loss": 0.8275, + "step": 32950 + }, + { + "epoch": 0.78, + "grad_norm": 0.7806750468474356, + "learning_rate": 2.5117406585842998e-06, + "loss": 0.7306, + "step": 32951 + }, + { + "epoch": 0.78, + "grad_norm": 1.7137986063820807, + "learning_rate": 2.5112349621662736e-06, + "loss": 0.864, + "step": 32952 + }, + { + "epoch": 0.78, + "grad_norm": 1.708561924508719, + "learning_rate": 2.510729309350208e-06, + "loss": 0.8483, + "step": 32953 + }, + { + "epoch": 0.78, + "grad_norm": 1.6852511185353152, + "learning_rate": 2.510223700139044e-06, + "loss": 0.8578, + "step": 32954 + }, + { + "epoch": 0.78, + "grad_norm": 1.5927856705846022, + "learning_rate": 2.509718134535729e-06, + "loss": 0.7902, + "step": 32955 + }, + { + "epoch": 0.78, + "grad_norm": 1.8908371056699131, + "learning_rate": 2.5092126125432137e-06, + "loss": 0.8567, + "step": 32956 + }, + { + "epoch": 0.78, + "grad_norm": 1.502179252534182, + "learning_rate": 2.5087071341644265e-06, + "loss": 0.8792, + "step": 32957 + }, + { + "epoch": 0.78, + "grad_norm": 1.6320887834292535, + "learning_rate": 2.5082016994023185e-06, + "loss": 0.8394, + "step": 32958 + }, + { + "epoch": 0.78, + "grad_norm": 1.5507261083799233, + "learning_rate": 2.5076963082598327e-06, + "loss": 0.9315, + "step": 32959 + }, + { + "epoch": 0.78, + "grad_norm": 1.519798156824374, + "learning_rate": 2.507190960739917e-06, + "loss": 0.9018, + "step": 32960 + }, + { + "epoch": 0.78, + "grad_norm": 2.3554151566844976, + "learning_rate": 2.5066856568455012e-06, + "loss": 0.8608, + "step": 32961 + }, + { + "epoch": 0.78, + "grad_norm": 1.6124239387346053, + "learning_rate": 2.506180396579534e-06, + "loss": 0.824, + "step": 32962 + }, + { + "epoch": 0.78, + "grad_norm": 1.530883885562992, + "learning_rate": 2.505675179944956e-06, + "loss": 0.79, + "step": 32963 + }, + { + "epoch": 0.78, + "grad_norm": 1.6073009462244594, + "learning_rate": 2.5051700069447136e-06, + "loss": 0.8225, + "step": 32964 + }, + { + "epoch": 0.78, + "grad_norm": 1.5265390222324098, + "learning_rate": 2.504664877581745e-06, + "loss": 0.778, + "step": 32965 + }, + { + "epoch": 0.78, + "grad_norm": 1.8328552155424902, + "learning_rate": 2.5041597918589867e-06, + "loss": 0.8611, + "step": 32966 + }, + { + "epoch": 0.78, + "grad_norm": 1.7628975352660707, + "learning_rate": 2.5036547497793863e-06, + "loss": 0.9432, + "step": 32967 + }, + { + "epoch": 0.78, + "grad_norm": 1.6500732804342324, + "learning_rate": 2.503149751345878e-06, + "loss": 0.7767, + "step": 32968 + }, + { + "epoch": 0.78, + "grad_norm": 1.719678724283998, + "learning_rate": 2.5026447965614086e-06, + "loss": 0.7472, + "step": 32969 + }, + { + "epoch": 0.78, + "grad_norm": 1.9604550080671137, + "learning_rate": 2.5021398854289124e-06, + "loss": 0.7323, + "step": 32970 + }, + { + "epoch": 0.78, + "grad_norm": 2.090529342745213, + "learning_rate": 2.501635017951334e-06, + "loss": 0.7468, + "step": 32971 + }, + { + "epoch": 0.78, + "grad_norm": 1.6991171925542048, + "learning_rate": 2.501130194131608e-06, + "loss": 0.8391, + "step": 32972 + }, + { + "epoch": 0.78, + "grad_norm": 1.5496879919912214, + "learning_rate": 2.500625413972678e-06, + "loss": 0.704, + "step": 32973 + }, + { + "epoch": 0.78, + "grad_norm": 1.5629520209088785, + "learning_rate": 2.5001206774774813e-06, + "loss": 0.8038, + "step": 32974 + }, + { + "epoch": 0.78, + "grad_norm": 2.169751460238314, + "learning_rate": 2.4996159846489544e-06, + "loss": 0.8912, + "step": 32975 + }, + { + "epoch": 0.78, + "grad_norm": 1.6195502144552083, + "learning_rate": 2.4991113354900374e-06, + "loss": 0.7447, + "step": 32976 + }, + { + "epoch": 0.78, + "grad_norm": 1.7280729938206612, + "learning_rate": 2.4986067300036708e-06, + "loss": 0.8195, + "step": 32977 + }, + { + "epoch": 0.78, + "grad_norm": 1.6628661563474119, + "learning_rate": 2.498102168192792e-06, + "loss": 0.8846, + "step": 32978 + }, + { + "epoch": 0.78, + "grad_norm": 1.48113145290053, + "learning_rate": 2.4975976500603348e-06, + "loss": 0.8922, + "step": 32979 + }, + { + "epoch": 0.78, + "grad_norm": 2.4987412403676754, + "learning_rate": 2.4970931756092387e-06, + "loss": 0.8459, + "step": 32980 + }, + { + "epoch": 0.78, + "grad_norm": 1.693419558465922, + "learning_rate": 2.4965887448424443e-06, + "loss": 0.7637, + "step": 32981 + }, + { + "epoch": 0.78, + "grad_norm": 1.6919333232282976, + "learning_rate": 2.4960843577628858e-06, + "loss": 0.9294, + "step": 32982 + }, + { + "epoch": 0.78, + "grad_norm": 0.7809853584433059, + "learning_rate": 2.4955800143734966e-06, + "loss": 0.6962, + "step": 32983 + }, + { + "epoch": 0.78, + "grad_norm": 2.0759118841194915, + "learning_rate": 2.4950757146772175e-06, + "loss": 0.9765, + "step": 32984 + }, + { + "epoch": 0.78, + "grad_norm": 1.7649878227384574, + "learning_rate": 2.4945714586769854e-06, + "loss": 0.8514, + "step": 32985 + }, + { + "epoch": 0.78, + "grad_norm": 1.5274882800044582, + "learning_rate": 2.4940672463757353e-06, + "loss": 0.7621, + "step": 32986 + }, + { + "epoch": 0.78, + "grad_norm": 1.5632187173079712, + "learning_rate": 2.493563077776399e-06, + "loss": 0.8611, + "step": 32987 + }, + { + "epoch": 0.78, + "grad_norm": 1.5355194451735912, + "learning_rate": 2.4930589528819172e-06, + "loss": 0.9199, + "step": 32988 + }, + { + "epoch": 0.78, + "grad_norm": 1.7222778779652994, + "learning_rate": 2.492554871695221e-06, + "loss": 0.9112, + "step": 32989 + }, + { + "epoch": 0.78, + "grad_norm": 1.7873867367193488, + "learning_rate": 2.4920508342192485e-06, + "loss": 0.7426, + "step": 32990 + }, + { + "epoch": 0.78, + "grad_norm": 1.4860035545089993, + "learning_rate": 2.491546840456931e-06, + "loss": 0.8547, + "step": 32991 + }, + { + "epoch": 0.78, + "grad_norm": 1.6266855369571527, + "learning_rate": 2.491042890411208e-06, + "loss": 0.8794, + "step": 32992 + }, + { + "epoch": 0.78, + "grad_norm": 1.7659128252212775, + "learning_rate": 2.490538984085008e-06, + "loss": 0.7913, + "step": 32993 + }, + { + "epoch": 0.78, + "grad_norm": 1.6785428585157922, + "learning_rate": 2.4900351214812703e-06, + "loss": 0.9073, + "step": 32994 + }, + { + "epoch": 0.78, + "grad_norm": 1.6479658673469784, + "learning_rate": 2.4895313026029243e-06, + "loss": 0.8756, + "step": 32995 + }, + { + "epoch": 0.78, + "grad_norm": 1.5703389075083278, + "learning_rate": 2.489027527452903e-06, + "loss": 0.8517, + "step": 32996 + }, + { + "epoch": 0.78, + "grad_norm": 2.158504440722688, + "learning_rate": 2.4885237960341413e-06, + "loss": 0.7181, + "step": 32997 + }, + { + "epoch": 0.78, + "grad_norm": 1.503530919432247, + "learning_rate": 2.488020108349576e-06, + "loss": 0.8498, + "step": 32998 + }, + { + "epoch": 0.78, + "grad_norm": 1.5447826387558679, + "learning_rate": 2.4875164644021343e-06, + "loss": 0.7859, + "step": 32999 + }, + { + "epoch": 0.78, + "grad_norm": 1.5842212265361055, + "learning_rate": 2.487012864194748e-06, + "loss": 0.8623, + "step": 33000 + }, + { + "epoch": 0.78, + "grad_norm": 1.5555462933140887, + "learning_rate": 2.4865093077303514e-06, + "loss": 0.8339, + "step": 33001 + }, + { + "epoch": 0.78, + "grad_norm": 1.9038062739523218, + "learning_rate": 2.48600579501188e-06, + "loss": 0.8718, + "step": 33002 + }, + { + "epoch": 0.78, + "grad_norm": 1.7156059368209318, + "learning_rate": 2.4855023260422605e-06, + "loss": 0.9139, + "step": 33003 + }, + { + "epoch": 0.78, + "grad_norm": 1.661771249018875, + "learning_rate": 2.4849989008244224e-06, + "loss": 0.8617, + "step": 33004 + }, + { + "epoch": 0.78, + "grad_norm": 1.6003535122955426, + "learning_rate": 2.4844955193613007e-06, + "loss": 0.7999, + "step": 33005 + }, + { + "epoch": 0.78, + "grad_norm": 1.634627431095332, + "learning_rate": 2.483992181655829e-06, + "loss": 0.7485, + "step": 33006 + }, + { + "epoch": 0.78, + "grad_norm": 1.758645530098284, + "learning_rate": 2.483488887710933e-06, + "loss": 0.8452, + "step": 33007 + }, + { + "epoch": 0.78, + "grad_norm": 1.4754938282894852, + "learning_rate": 2.4829856375295426e-06, + "loss": 0.8517, + "step": 33008 + }, + { + "epoch": 0.78, + "grad_norm": 1.797219311920756, + "learning_rate": 2.482482431114591e-06, + "loss": 0.7623, + "step": 33009 + }, + { + "epoch": 0.78, + "grad_norm": 1.6931809895954557, + "learning_rate": 2.4819792684690046e-06, + "loss": 0.7654, + "step": 33010 + }, + { + "epoch": 0.78, + "grad_norm": 2.005907809979509, + "learning_rate": 2.4814761495957183e-06, + "loss": 0.7926, + "step": 33011 + }, + { + "epoch": 0.78, + "grad_norm": 1.9018182456446897, + "learning_rate": 2.4809730744976556e-06, + "loss": 0.8832, + "step": 33012 + }, + { + "epoch": 0.78, + "grad_norm": 1.4687750966303885, + "learning_rate": 2.480470043177751e-06, + "loss": 0.8634, + "step": 33013 + }, + { + "epoch": 0.78, + "grad_norm": 0.7512711098780943, + "learning_rate": 2.4799670556389267e-06, + "loss": 0.66, + "step": 33014 + }, + { + "epoch": 0.78, + "grad_norm": 1.7237137161900362, + "learning_rate": 2.479464111884118e-06, + "loss": 0.8109, + "step": 33015 + }, + { + "epoch": 0.78, + "grad_norm": 1.5821818865406159, + "learning_rate": 2.478961211916251e-06, + "loss": 0.8103, + "step": 33016 + }, + { + "epoch": 0.78, + "grad_norm": 1.6338471932203507, + "learning_rate": 2.4784583557382492e-06, + "loss": 0.8028, + "step": 33017 + }, + { + "epoch": 0.78, + "grad_norm": 1.8058418676178845, + "learning_rate": 2.4779555433530446e-06, + "loss": 0.9972, + "step": 33018 + }, + { + "epoch": 0.78, + "grad_norm": 1.5916765263323804, + "learning_rate": 2.4774527747635667e-06, + "loss": 0.8906, + "step": 33019 + }, + { + "epoch": 0.78, + "grad_norm": 1.626732709355383, + "learning_rate": 2.4769500499727417e-06, + "loss": 1.0409, + "step": 33020 + }, + { + "epoch": 0.78, + "grad_norm": 1.6349386278518843, + "learning_rate": 2.4764473689834912e-06, + "loss": 0.7591, + "step": 33021 + }, + { + "epoch": 0.78, + "grad_norm": 1.526715549270257, + "learning_rate": 2.475944731798746e-06, + "loss": 0.7462, + "step": 33022 + }, + { + "epoch": 0.78, + "grad_norm": 1.6911000965190066, + "learning_rate": 2.4754421384214355e-06, + "loss": 0.9534, + "step": 33023 + }, + { + "epoch": 0.78, + "grad_norm": 1.5199814039035222, + "learning_rate": 2.4749395888544837e-06, + "loss": 0.8796, + "step": 33024 + }, + { + "epoch": 0.78, + "grad_norm": 1.485151607435248, + "learning_rate": 2.4744370831008125e-06, + "loss": 0.8302, + "step": 33025 + }, + { + "epoch": 0.78, + "grad_norm": 1.6836500809786836, + "learning_rate": 2.473934621163352e-06, + "loss": 0.8641, + "step": 33026 + }, + { + "epoch": 0.78, + "grad_norm": 1.590717610985637, + "learning_rate": 2.4734322030450286e-06, + "loss": 0.9058, + "step": 33027 + }, + { + "epoch": 0.78, + "grad_norm": 1.52931615397419, + "learning_rate": 2.472929828748767e-06, + "loss": 0.84, + "step": 33028 + }, + { + "epoch": 0.78, + "grad_norm": 1.5623008978732214, + "learning_rate": 2.4724274982774866e-06, + "loss": 0.8897, + "step": 33029 + }, + { + "epoch": 0.78, + "grad_norm": 1.6310332588906098, + "learning_rate": 2.4719252116341207e-06, + "loss": 0.7539, + "step": 33030 + }, + { + "epoch": 0.78, + "grad_norm": 1.4724856420194146, + "learning_rate": 2.4714229688215864e-06, + "loss": 0.9327, + "step": 33031 + }, + { + "epoch": 0.78, + "grad_norm": 1.4782769108782143, + "learning_rate": 2.470920769842814e-06, + "loss": 0.9003, + "step": 33032 + }, + { + "epoch": 0.78, + "grad_norm": 1.7125688118563067, + "learning_rate": 2.4704186147007216e-06, + "loss": 0.913, + "step": 33033 + }, + { + "epoch": 0.78, + "grad_norm": 1.5360055408148703, + "learning_rate": 2.4699165033982377e-06, + "loss": 0.7976, + "step": 33034 + }, + { + "epoch": 0.78, + "grad_norm": 3.244447045292176, + "learning_rate": 2.469414435938282e-06, + "loss": 0.8574, + "step": 33035 + }, + { + "epoch": 0.78, + "grad_norm": 1.7029686187020479, + "learning_rate": 2.4689124123237795e-06, + "loss": 0.7895, + "step": 33036 + }, + { + "epoch": 0.78, + "grad_norm": 1.4836312142406622, + "learning_rate": 2.4684104325576595e-06, + "loss": 0.8322, + "step": 33037 + }, + { + "epoch": 0.78, + "grad_norm": 1.5831519549171922, + "learning_rate": 2.467908496642831e-06, + "loss": 0.929, + "step": 33038 + }, + { + "epoch": 0.78, + "grad_norm": 1.6172660317478496, + "learning_rate": 2.4674066045822256e-06, + "loss": 0.9861, + "step": 33039 + }, + { + "epoch": 0.78, + "grad_norm": 1.8376055943735536, + "learning_rate": 2.466904756378763e-06, + "loss": 1.005, + "step": 33040 + }, + { + "epoch": 0.78, + "grad_norm": 1.566828391507528, + "learning_rate": 2.4664029520353716e-06, + "loss": 0.7239, + "step": 33041 + }, + { + "epoch": 0.78, + "grad_norm": 1.7859655752852763, + "learning_rate": 2.4659011915549626e-06, + "loss": 0.7573, + "step": 33042 + }, + { + "epoch": 0.78, + "grad_norm": 2.137567110065376, + "learning_rate": 2.465399474940461e-06, + "loss": 0.7593, + "step": 33043 + }, + { + "epoch": 0.78, + "grad_norm": 1.8036006172397712, + "learning_rate": 2.4648978021947923e-06, + "loss": 0.8359, + "step": 33044 + }, + { + "epoch": 0.78, + "grad_norm": 1.5217939368238216, + "learning_rate": 2.464396173320873e-06, + "loss": 0.8445, + "step": 33045 + }, + { + "epoch": 0.78, + "grad_norm": 1.669479151212522, + "learning_rate": 2.4638945883216236e-06, + "loss": 0.8516, + "step": 33046 + }, + { + "epoch": 0.78, + "grad_norm": 1.5320487980312376, + "learning_rate": 2.4633930471999657e-06, + "loss": 0.9184, + "step": 33047 + }, + { + "epoch": 0.78, + "grad_norm": 1.7374654586149287, + "learning_rate": 2.4628915499588213e-06, + "loss": 0.9995, + "step": 33048 + }, + { + "epoch": 0.78, + "grad_norm": 1.9129081720644185, + "learning_rate": 2.4623900966011062e-06, + "loss": 0.8263, + "step": 33049 + }, + { + "epoch": 0.78, + "grad_norm": 1.555402477309834, + "learning_rate": 2.4618886871297454e-06, + "loss": 0.9488, + "step": 33050 + }, + { + "epoch": 0.78, + "grad_norm": 0.8135443844277103, + "learning_rate": 2.461387321547656e-06, + "loss": 0.7608, + "step": 33051 + }, + { + "epoch": 0.78, + "grad_norm": 1.755556695288661, + "learning_rate": 2.4608859998577515e-06, + "loss": 0.9745, + "step": 33052 + }, + { + "epoch": 0.78, + "grad_norm": 1.3860365042483032, + "learning_rate": 2.4603847220629575e-06, + "loss": 0.8137, + "step": 33053 + }, + { + "epoch": 0.78, + "grad_norm": 1.67111567384339, + "learning_rate": 2.4598834881661914e-06, + "loss": 0.9335, + "step": 33054 + }, + { + "epoch": 0.78, + "grad_norm": 1.51966722733539, + "learning_rate": 2.459382298170373e-06, + "loss": 0.764, + "step": 33055 + }, + { + "epoch": 0.78, + "grad_norm": 0.8251106396874445, + "learning_rate": 2.4588811520784138e-06, + "loss": 0.695, + "step": 33056 + }, + { + "epoch": 0.78, + "grad_norm": 0.7950536854736099, + "learning_rate": 2.4583800498932365e-06, + "loss": 0.7345, + "step": 33057 + }, + { + "epoch": 0.78, + "grad_norm": 0.7638977938925028, + "learning_rate": 2.4578789916177614e-06, + "loss": 0.6815, + "step": 33058 + }, + { + "epoch": 0.78, + "grad_norm": 1.839628711494292, + "learning_rate": 2.4573779772549023e-06, + "loss": 0.8219, + "step": 33059 + }, + { + "epoch": 0.78, + "grad_norm": 1.7333196753922517, + "learning_rate": 2.456877006807573e-06, + "loss": 0.8262, + "step": 33060 + }, + { + "epoch": 0.78, + "grad_norm": 1.836697045503976, + "learning_rate": 2.456376080278695e-06, + "loss": 0.8462, + "step": 33061 + }, + { + "epoch": 0.78, + "grad_norm": 1.7323952284613489, + "learning_rate": 2.4558751976711857e-06, + "loss": 0.8556, + "step": 33062 + }, + { + "epoch": 0.78, + "grad_norm": 1.6806389930704535, + "learning_rate": 2.45537435898796e-06, + "loss": 0.7767, + "step": 33063 + }, + { + "epoch": 0.78, + "grad_norm": 1.9625747305634154, + "learning_rate": 2.4548735642319297e-06, + "loss": 0.8479, + "step": 33064 + }, + { + "epoch": 0.78, + "grad_norm": 1.5788485023147192, + "learning_rate": 2.4543728134060186e-06, + "loss": 0.8513, + "step": 33065 + }, + { + "epoch": 0.78, + "grad_norm": 1.762454730546949, + "learning_rate": 2.4538721065131344e-06, + "loss": 0.7496, + "step": 33066 + }, + { + "epoch": 0.78, + "grad_norm": 1.591715118438324, + "learning_rate": 2.453371443556198e-06, + "loss": 0.8255, + "step": 33067 + }, + { + "epoch": 0.78, + "grad_norm": 1.5713178160509953, + "learning_rate": 2.4528708245381203e-06, + "loss": 0.8731, + "step": 33068 + }, + { + "epoch": 0.78, + "grad_norm": 1.6211690202654399, + "learning_rate": 2.4523702494618206e-06, + "loss": 0.7532, + "step": 33069 + }, + { + "epoch": 0.78, + "grad_norm": 1.4905652675094847, + "learning_rate": 2.4518697183302076e-06, + "loss": 0.711, + "step": 33070 + }, + { + "epoch": 0.78, + "grad_norm": 0.7850920715415906, + "learning_rate": 2.4513692311462024e-06, + "loss": 0.677, + "step": 33071 + }, + { + "epoch": 0.78, + "grad_norm": 1.5580007475656856, + "learning_rate": 2.4508687879127145e-06, + "loss": 0.7487, + "step": 33072 + }, + { + "epoch": 0.78, + "grad_norm": 1.561602405674738, + "learning_rate": 2.4503683886326557e-06, + "loss": 0.9533, + "step": 33073 + }, + { + "epoch": 0.78, + "grad_norm": 1.7238992606330852, + "learning_rate": 2.449868033308943e-06, + "loss": 0.7794, + "step": 33074 + }, + { + "epoch": 0.78, + "grad_norm": 1.5601506744814269, + "learning_rate": 2.449367721944492e-06, + "loss": 0.9073, + "step": 33075 + }, + { + "epoch": 0.78, + "grad_norm": 1.6282233760357172, + "learning_rate": 2.448867454542212e-06, + "loss": 0.9266, + "step": 33076 + }, + { + "epoch": 0.78, + "grad_norm": 1.4818755590373194, + "learning_rate": 2.4483672311050134e-06, + "loss": 0.8199, + "step": 33077 + }, + { + "epoch": 0.78, + "grad_norm": 1.7963395534727924, + "learning_rate": 2.4478670516358116e-06, + "loss": 0.7696, + "step": 33078 + }, + { + "epoch": 0.78, + "grad_norm": 1.5773554764218916, + "learning_rate": 2.4473669161375225e-06, + "loss": 0.8855, + "step": 33079 + }, + { + "epoch": 0.78, + "grad_norm": 1.826442538407803, + "learning_rate": 2.4468668246130534e-06, + "loss": 0.882, + "step": 33080 + }, + { + "epoch": 0.78, + "grad_norm": 1.7027749975688138, + "learning_rate": 2.4463667770653144e-06, + "loss": 0.794, + "step": 33081 + }, + { + "epoch": 0.78, + "grad_norm": 1.5909744780235948, + "learning_rate": 2.4458667734972196e-06, + "loss": 0.7564, + "step": 33082 + }, + { + "epoch": 0.78, + "grad_norm": 1.5863602918586048, + "learning_rate": 2.4453668139116824e-06, + "loss": 0.8078, + "step": 33083 + }, + { + "epoch": 0.78, + "grad_norm": 1.5975541331229333, + "learning_rate": 2.444866898311612e-06, + "loss": 0.811, + "step": 33084 + }, + { + "epoch": 0.78, + "grad_norm": 1.5313782689169404, + "learning_rate": 2.4443670266999155e-06, + "loss": 0.7444, + "step": 33085 + }, + { + "epoch": 0.78, + "grad_norm": 1.541122822227094, + "learning_rate": 2.443867199079506e-06, + "loss": 0.8771, + "step": 33086 + }, + { + "epoch": 0.78, + "grad_norm": 1.6247767060889216, + "learning_rate": 2.443367415453297e-06, + "loss": 0.8528, + "step": 33087 + }, + { + "epoch": 0.78, + "grad_norm": 0.7324630344269916, + "learning_rate": 2.4428676758241953e-06, + "loss": 0.6836, + "step": 33088 + }, + { + "epoch": 0.78, + "grad_norm": 1.9232694274493418, + "learning_rate": 2.4423679801951073e-06, + "loss": 0.9264, + "step": 33089 + }, + { + "epoch": 0.78, + "grad_norm": 0.7912251989760019, + "learning_rate": 2.441868328568948e-06, + "loss": 0.7372, + "step": 33090 + }, + { + "epoch": 0.78, + "grad_norm": 1.5577172680507338, + "learning_rate": 2.4413687209486223e-06, + "loss": 0.8082, + "step": 33091 + }, + { + "epoch": 0.78, + "grad_norm": 0.7527259623790993, + "learning_rate": 2.4408691573370438e-06, + "loss": 0.6488, + "step": 33092 + }, + { + "epoch": 0.78, + "grad_norm": 1.48401461594073, + "learning_rate": 2.4403696377371146e-06, + "loss": 0.8521, + "step": 33093 + }, + { + "epoch": 0.78, + "grad_norm": 1.6194328964197162, + "learning_rate": 2.4398701621517507e-06, + "loss": 0.9009, + "step": 33094 + }, + { + "epoch": 0.78, + "grad_norm": 1.529733731454599, + "learning_rate": 2.439370730583852e-06, + "loss": 0.8498, + "step": 33095 + }, + { + "epoch": 0.78, + "grad_norm": 0.7283255786863926, + "learning_rate": 2.4388713430363343e-06, + "loss": 0.6769, + "step": 33096 + }, + { + "epoch": 0.78, + "grad_norm": 1.6514492022476734, + "learning_rate": 2.4383719995121013e-06, + "loss": 0.9683, + "step": 33097 + }, + { + "epoch": 0.78, + "grad_norm": 2.034260264430451, + "learning_rate": 2.437872700014058e-06, + "loss": 0.7774, + "step": 33098 + }, + { + "epoch": 0.78, + "grad_norm": 1.4803345197985203, + "learning_rate": 2.4373734445451127e-06, + "loss": 0.7718, + "step": 33099 + }, + { + "epoch": 0.78, + "grad_norm": 1.4754676260576414, + "learning_rate": 2.4368742331081775e-06, + "loss": 0.7802, + "step": 33100 + }, + { + "epoch": 0.78, + "grad_norm": 1.6011606832865446, + "learning_rate": 2.4363750657061546e-06, + "loss": 0.7566, + "step": 33101 + }, + { + "epoch": 0.78, + "grad_norm": 1.5506496353511838, + "learning_rate": 2.4358759423419476e-06, + "loss": 0.7195, + "step": 33102 + }, + { + "epoch": 0.78, + "grad_norm": 1.7142554405289057, + "learning_rate": 2.4353768630184658e-06, + "loss": 0.8455, + "step": 33103 + }, + { + "epoch": 0.78, + "grad_norm": 1.5158421195030727, + "learning_rate": 2.4348778277386177e-06, + "loss": 0.8706, + "step": 33104 + }, + { + "epoch": 0.78, + "grad_norm": 1.5163872706583703, + "learning_rate": 2.4343788365053066e-06, + "loss": 0.9333, + "step": 33105 + }, + { + "epoch": 0.78, + "grad_norm": 1.6270050762730175, + "learning_rate": 2.4338798893214332e-06, + "loss": 0.8669, + "step": 33106 + }, + { + "epoch": 0.78, + "grad_norm": 1.6011881779753698, + "learning_rate": 2.433380986189907e-06, + "loss": 0.8042, + "step": 33107 + }, + { + "epoch": 0.78, + "grad_norm": 1.6460482435755042, + "learning_rate": 2.432882127113635e-06, + "loss": 0.7787, + "step": 33108 + }, + { + "epoch": 0.78, + "grad_norm": 1.492325496959144, + "learning_rate": 2.4323833120955197e-06, + "loss": 0.8137, + "step": 33109 + }, + { + "epoch": 0.78, + "grad_norm": 1.555276912166214, + "learning_rate": 2.4318845411384608e-06, + "loss": 0.8375, + "step": 33110 + }, + { + "epoch": 0.78, + "grad_norm": 1.9643874792503335, + "learning_rate": 2.4313858142453695e-06, + "loss": 0.7619, + "step": 33111 + }, + { + "epoch": 0.78, + "grad_norm": 2.0779410635640767, + "learning_rate": 2.4308871314191427e-06, + "loss": 0.8645, + "step": 33112 + }, + { + "epoch": 0.78, + "grad_norm": 1.646754735928076, + "learning_rate": 2.430388492662691e-06, + "loss": 0.7948, + "step": 33113 + }, + { + "epoch": 0.78, + "grad_norm": 1.6537181602789193, + "learning_rate": 2.429889897978911e-06, + "loss": 0.8001, + "step": 33114 + }, + { + "epoch": 0.78, + "grad_norm": 0.7342546226556466, + "learning_rate": 2.4293913473707108e-06, + "loss": 0.7409, + "step": 33115 + }, + { + "epoch": 0.78, + "grad_norm": 1.5270332741490058, + "learning_rate": 2.4288928408409885e-06, + "loss": 0.7911, + "step": 33116 + }, + { + "epoch": 0.78, + "grad_norm": 0.7668506899168737, + "learning_rate": 2.4283943783926523e-06, + "loss": 0.6786, + "step": 33117 + }, + { + "epoch": 0.78, + "grad_norm": 1.64141218723034, + "learning_rate": 2.427895960028601e-06, + "loss": 0.8679, + "step": 33118 + }, + { + "epoch": 0.78, + "grad_norm": 1.6329858676603664, + "learning_rate": 2.427397585751734e-06, + "loss": 0.7818, + "step": 33119 + }, + { + "epoch": 0.78, + "grad_norm": 1.570726751518713, + "learning_rate": 2.4268992555649553e-06, + "loss": 0.8552, + "step": 33120 + }, + { + "epoch": 0.78, + "grad_norm": 1.9412874761217733, + "learning_rate": 2.4264009694711665e-06, + "loss": 0.861, + "step": 33121 + }, + { + "epoch": 0.78, + "grad_norm": 0.8056711866143281, + "learning_rate": 2.4259027274732748e-06, + "loss": 0.715, + "step": 33122 + }, + { + "epoch": 0.78, + "grad_norm": 1.5198671889444224, + "learning_rate": 2.42540452957417e-06, + "loss": 0.7957, + "step": 33123 + }, + { + "epoch": 0.78, + "grad_norm": 1.77986996648781, + "learning_rate": 2.4249063757767587e-06, + "loss": 0.911, + "step": 33124 + }, + { + "epoch": 0.78, + "grad_norm": 1.648898521792617, + "learning_rate": 2.424408266083943e-06, + "loss": 0.8351, + "step": 33125 + }, + { + "epoch": 0.78, + "grad_norm": 1.8831554134793722, + "learning_rate": 2.4239102004986203e-06, + "loss": 0.7431, + "step": 33126 + }, + { + "epoch": 0.78, + "grad_norm": 1.8684837371400207, + "learning_rate": 2.4234121790236887e-06, + "loss": 0.874, + "step": 33127 + }, + { + "epoch": 0.78, + "grad_norm": 0.7770383528233495, + "learning_rate": 2.42291420166205e-06, + "loss": 0.6742, + "step": 33128 + }, + { + "epoch": 0.78, + "grad_norm": 1.6329970390806854, + "learning_rate": 2.4224162684166064e-06, + "loss": 0.8986, + "step": 33129 + }, + { + "epoch": 0.78, + "grad_norm": 1.8541774259470352, + "learning_rate": 2.4219183792902544e-06, + "loss": 0.8476, + "step": 33130 + }, + { + "epoch": 0.78, + "grad_norm": 1.5892636745433726, + "learning_rate": 2.4214205342858897e-06, + "loss": 0.8277, + "step": 33131 + }, + { + "epoch": 0.78, + "grad_norm": 1.4476111118889683, + "learning_rate": 2.4209227334064167e-06, + "loss": 0.8408, + "step": 33132 + }, + { + "epoch": 0.78, + "grad_norm": 1.608905172477354, + "learning_rate": 2.4204249766547295e-06, + "loss": 0.7991, + "step": 33133 + }, + { + "epoch": 0.78, + "grad_norm": 1.3666318857765898, + "learning_rate": 2.4199272640337256e-06, + "loss": 0.9215, + "step": 33134 + }, + { + "epoch": 0.78, + "grad_norm": 1.605540879100124, + "learning_rate": 2.41942959554631e-06, + "loss": 0.7056, + "step": 33135 + }, + { + "epoch": 0.78, + "grad_norm": 1.5136227603219754, + "learning_rate": 2.418931971195374e-06, + "loss": 0.8203, + "step": 33136 + }, + { + "epoch": 0.78, + "grad_norm": 1.5912688373393824, + "learning_rate": 2.4184343909838135e-06, + "loss": 0.8194, + "step": 33137 + }, + { + "epoch": 0.78, + "grad_norm": 1.655928532673977, + "learning_rate": 2.4179368549145286e-06, + "loss": 0.7445, + "step": 33138 + }, + { + "epoch": 0.78, + "grad_norm": 1.5115905779848107, + "learning_rate": 2.4174393629904214e-06, + "loss": 0.9311, + "step": 33139 + }, + { + "epoch": 0.78, + "grad_norm": 1.854057571756143, + "learning_rate": 2.416941915214377e-06, + "loss": 0.8644, + "step": 33140 + }, + { + "epoch": 0.78, + "grad_norm": 1.7019555100979573, + "learning_rate": 2.4164445115892966e-06, + "loss": 0.7753, + "step": 33141 + }, + { + "epoch": 0.78, + "grad_norm": 1.679163631037557, + "learning_rate": 2.415947152118079e-06, + "loss": 0.7673, + "step": 33142 + }, + { + "epoch": 0.78, + "grad_norm": 1.627489828983251, + "learning_rate": 2.4154498368036226e-06, + "loss": 0.8642, + "step": 33143 + }, + { + "epoch": 0.78, + "grad_norm": 1.566435606740398, + "learning_rate": 2.4149525656488128e-06, + "loss": 0.8582, + "step": 33144 + }, + { + "epoch": 0.78, + "grad_norm": 1.5196348473854586, + "learning_rate": 2.4144553386565504e-06, + "loss": 0.8803, + "step": 33145 + }, + { + "epoch": 0.78, + "grad_norm": 1.4706081914863862, + "learning_rate": 2.4139581558297344e-06, + "loss": 0.8475, + "step": 33146 + }, + { + "epoch": 0.78, + "grad_norm": 1.6432164575899213, + "learning_rate": 2.4134610171712525e-06, + "loss": 0.8686, + "step": 33147 + }, + { + "epoch": 0.78, + "grad_norm": 1.6096262723912858, + "learning_rate": 2.412963922684004e-06, + "loss": 0.8483, + "step": 33148 + }, + { + "epoch": 0.78, + "grad_norm": 1.7265503234495938, + "learning_rate": 2.41246687237088e-06, + "loss": 0.7611, + "step": 33149 + }, + { + "epoch": 0.78, + "grad_norm": 1.5438709458655702, + "learning_rate": 2.411969866234779e-06, + "loss": 0.7048, + "step": 33150 + }, + { + "epoch": 0.78, + "grad_norm": 1.6698333575605289, + "learning_rate": 2.411472904278589e-06, + "loss": 0.7677, + "step": 33151 + }, + { + "epoch": 0.78, + "grad_norm": 1.6310202009064558, + "learning_rate": 2.4109759865052084e-06, + "loss": 0.8142, + "step": 33152 + }, + { + "epoch": 0.78, + "grad_norm": 1.495702781618676, + "learning_rate": 2.4104791129175286e-06, + "loss": 0.9265, + "step": 33153 + }, + { + "epoch": 0.78, + "grad_norm": 1.7303903597409842, + "learning_rate": 2.4099822835184392e-06, + "loss": 0.7439, + "step": 33154 + }, + { + "epoch": 0.78, + "grad_norm": 0.736560231908022, + "learning_rate": 2.409485498310835e-06, + "loss": 0.7107, + "step": 33155 + }, + { + "epoch": 0.78, + "grad_norm": 1.7592159404482277, + "learning_rate": 2.4089887572976134e-06, + "loss": 0.8185, + "step": 33156 + }, + { + "epoch": 0.78, + "grad_norm": 1.6728159037194987, + "learning_rate": 2.408492060481663e-06, + "loss": 0.8319, + "step": 33157 + }, + { + "epoch": 0.78, + "grad_norm": 1.8091079475339298, + "learning_rate": 2.407995407865872e-06, + "loss": 0.7726, + "step": 33158 + }, + { + "epoch": 0.78, + "grad_norm": 1.6970277937262939, + "learning_rate": 2.407498799453134e-06, + "loss": 0.8136, + "step": 33159 + }, + { + "epoch": 0.78, + "grad_norm": 1.627900952640927, + "learning_rate": 2.407002235246346e-06, + "loss": 0.7763, + "step": 33160 + }, + { + "epoch": 0.78, + "grad_norm": 1.579167698458378, + "learning_rate": 2.406505715248395e-06, + "loss": 0.8648, + "step": 33161 + }, + { + "epoch": 0.78, + "grad_norm": 1.858573937830361, + "learning_rate": 2.406009239462168e-06, + "loss": 0.8378, + "step": 33162 + }, + { + "epoch": 0.78, + "grad_norm": 1.5970278994372529, + "learning_rate": 2.40551280789056e-06, + "loss": 1.005, + "step": 33163 + }, + { + "epoch": 0.78, + "grad_norm": 0.7753238920260535, + "learning_rate": 2.4050164205364633e-06, + "loss": 0.6751, + "step": 33164 + }, + { + "epoch": 0.78, + "grad_norm": 1.4472664207338548, + "learning_rate": 2.4045200774027653e-06, + "loss": 0.6906, + "step": 33165 + }, + { + "epoch": 0.78, + "grad_norm": 1.5830784651514187, + "learning_rate": 2.404023778492354e-06, + "loss": 0.8151, + "step": 33166 + }, + { + "epoch": 0.78, + "grad_norm": 1.8456129686914309, + "learning_rate": 2.4035275238081236e-06, + "loss": 0.7301, + "step": 33167 + }, + { + "epoch": 0.78, + "grad_norm": 2.096391724418559, + "learning_rate": 2.4030313133529583e-06, + "loss": 0.816, + "step": 33168 + }, + { + "epoch": 0.78, + "grad_norm": 1.8375926533149611, + "learning_rate": 2.402535147129753e-06, + "loss": 0.8727, + "step": 33169 + }, + { + "epoch": 0.78, + "grad_norm": 1.506358099449905, + "learning_rate": 2.4020390251413893e-06, + "loss": 0.9116, + "step": 33170 + }, + { + "epoch": 0.78, + "grad_norm": 1.6032284095971654, + "learning_rate": 2.4015429473907637e-06, + "loss": 0.8085, + "step": 33171 + }, + { + "epoch": 0.78, + "grad_norm": 1.6419386678561667, + "learning_rate": 2.4010469138807578e-06, + "loss": 0.8136, + "step": 33172 + }, + { + "epoch": 0.78, + "grad_norm": 1.560085181709657, + "learning_rate": 2.4005509246142655e-06, + "loss": 0.8608, + "step": 33173 + }, + { + "epoch": 0.78, + "grad_norm": 1.6246154576175325, + "learning_rate": 2.400054979594172e-06, + "loss": 0.9166, + "step": 33174 + }, + { + "epoch": 0.78, + "grad_norm": 1.7844400380030234, + "learning_rate": 2.3995590788233604e-06, + "loss": 0.7537, + "step": 33175 + }, + { + "epoch": 0.78, + "grad_norm": 1.5141686666583776, + "learning_rate": 2.399063222304723e-06, + "loss": 0.7911, + "step": 33176 + }, + { + "epoch": 0.78, + "grad_norm": 1.6208753180127713, + "learning_rate": 2.3985674100411484e-06, + "loss": 0.8674, + "step": 33177 + }, + { + "epoch": 0.78, + "grad_norm": 0.7386185208625972, + "learning_rate": 2.398071642035521e-06, + "loss": 0.6937, + "step": 33178 + }, + { + "epoch": 0.78, + "grad_norm": 1.771121508558164, + "learning_rate": 2.3975759182907244e-06, + "loss": 0.8279, + "step": 33179 + }, + { + "epoch": 0.78, + "grad_norm": 1.8573701633649204, + "learning_rate": 2.3970802388096483e-06, + "loss": 0.7163, + "step": 33180 + }, + { + "epoch": 0.78, + "grad_norm": 1.6388604930244968, + "learning_rate": 2.39658460359518e-06, + "loss": 0.8032, + "step": 33181 + }, + { + "epoch": 0.78, + "grad_norm": 1.8188293074635997, + "learning_rate": 2.3960890126502034e-06, + "loss": 0.7934, + "step": 33182 + }, + { + "epoch": 0.78, + "grad_norm": 1.5572034872008123, + "learning_rate": 2.3955934659776013e-06, + "loss": 0.8329, + "step": 33183 + }, + { + "epoch": 0.78, + "grad_norm": 1.514559562099799, + "learning_rate": 2.3950979635802617e-06, + "loss": 0.8227, + "step": 33184 + }, + { + "epoch": 0.78, + "grad_norm": 1.469568199635137, + "learning_rate": 2.3946025054610722e-06, + "loss": 0.8899, + "step": 33185 + }, + { + "epoch": 0.78, + "grad_norm": 1.7244266183533006, + "learning_rate": 2.394107091622915e-06, + "loss": 0.9286, + "step": 33186 + }, + { + "epoch": 0.78, + "grad_norm": 0.7738628064182492, + "learning_rate": 2.3936117220686717e-06, + "loss": 0.6863, + "step": 33187 + }, + { + "epoch": 0.78, + "grad_norm": 1.6458149006862695, + "learning_rate": 2.3931163968012315e-06, + "loss": 0.919, + "step": 33188 + }, + { + "epoch": 0.78, + "grad_norm": 1.8302451961428263, + "learning_rate": 2.3926211158234725e-06, + "loss": 0.7784, + "step": 33189 + }, + { + "epoch": 0.78, + "grad_norm": 1.816988956409614, + "learning_rate": 2.392125879138286e-06, + "loss": 0.9387, + "step": 33190 + }, + { + "epoch": 0.78, + "grad_norm": 1.6947069557000582, + "learning_rate": 2.3916306867485474e-06, + "loss": 0.9183, + "step": 33191 + }, + { + "epoch": 0.78, + "grad_norm": 1.6976593787431193, + "learning_rate": 2.3911355386571466e-06, + "loss": 0.7267, + "step": 33192 + }, + { + "epoch": 0.78, + "grad_norm": 1.549876998716431, + "learning_rate": 2.390640434866961e-06, + "loss": 0.7729, + "step": 33193 + }, + { + "epoch": 0.78, + "grad_norm": 1.5528331889906064, + "learning_rate": 2.390145375380879e-06, + "loss": 0.969, + "step": 33194 + }, + { + "epoch": 0.78, + "grad_norm": 0.7471273963754557, + "learning_rate": 2.3896503602017794e-06, + "loss": 0.7449, + "step": 33195 + }, + { + "epoch": 0.78, + "grad_norm": 0.7782019253998901, + "learning_rate": 2.3891553893325424e-06, + "loss": 0.6715, + "step": 33196 + }, + { + "epoch": 0.78, + "grad_norm": 1.784096228181408, + "learning_rate": 2.388660462776051e-06, + "loss": 0.9108, + "step": 33197 + }, + { + "epoch": 0.78, + "grad_norm": 1.4938439087827902, + "learning_rate": 2.388165580535192e-06, + "loss": 0.9154, + "step": 33198 + }, + { + "epoch": 0.78, + "grad_norm": 1.5062088658602562, + "learning_rate": 2.387670742612843e-06, + "loss": 0.8426, + "step": 33199 + }, + { + "epoch": 0.78, + "grad_norm": 1.523674553395637, + "learning_rate": 2.387175949011882e-06, + "loss": 0.8008, + "step": 33200 + }, + { + "epoch": 0.78, + "grad_norm": 1.535491955906973, + "learning_rate": 2.3866811997351925e-06, + "loss": 0.76, + "step": 33201 + }, + { + "epoch": 0.78, + "grad_norm": 1.459690343118976, + "learning_rate": 2.3861864947856583e-06, + "loss": 0.8599, + "step": 33202 + }, + { + "epoch": 0.78, + "grad_norm": 1.4875575880352758, + "learning_rate": 2.385691834166157e-06, + "loss": 0.826, + "step": 33203 + }, + { + "epoch": 0.78, + "grad_norm": 1.4128819891150175, + "learning_rate": 2.385197217879566e-06, + "loss": 0.7513, + "step": 33204 + }, + { + "epoch": 0.78, + "grad_norm": 1.794166171459716, + "learning_rate": 2.384702645928767e-06, + "loss": 0.7367, + "step": 33205 + }, + { + "epoch": 0.78, + "grad_norm": 1.650264366229098, + "learning_rate": 2.3842081183166434e-06, + "loss": 0.9483, + "step": 33206 + }, + { + "epoch": 0.78, + "grad_norm": 1.690642769972394, + "learning_rate": 2.383713635046071e-06, + "loss": 0.8931, + "step": 33207 + }, + { + "epoch": 0.78, + "grad_norm": 1.521328632372662, + "learning_rate": 2.383219196119927e-06, + "loss": 0.8575, + "step": 33208 + }, + { + "epoch": 0.78, + "grad_norm": 0.7829187729561953, + "learning_rate": 2.3827248015410907e-06, + "loss": 0.712, + "step": 33209 + }, + { + "epoch": 0.78, + "grad_norm": 1.3957972674539765, + "learning_rate": 2.382230451312446e-06, + "loss": 0.7879, + "step": 33210 + }, + { + "epoch": 0.78, + "grad_norm": 1.576305836322736, + "learning_rate": 2.381736145436867e-06, + "loss": 0.9373, + "step": 33211 + }, + { + "epoch": 0.78, + "grad_norm": 1.70791965679566, + "learning_rate": 2.38124188391723e-06, + "loss": 0.863, + "step": 33212 + }, + { + "epoch": 0.78, + "grad_norm": 1.5109452256321207, + "learning_rate": 2.3807476667564168e-06, + "loss": 0.8937, + "step": 33213 + }, + { + "epoch": 0.78, + "grad_norm": 1.609938413962707, + "learning_rate": 2.3802534939573006e-06, + "loss": 0.8815, + "step": 33214 + }, + { + "epoch": 0.78, + "grad_norm": 1.438821996424103, + "learning_rate": 2.3797593655227637e-06, + "loss": 0.9467, + "step": 33215 + }, + { + "epoch": 0.78, + "grad_norm": 1.388034379580649, + "learning_rate": 2.379265281455677e-06, + "loss": 0.7471, + "step": 33216 + }, + { + "epoch": 0.78, + "grad_norm": 1.6505847691688504, + "learning_rate": 2.378771241758924e-06, + "loss": 0.8117, + "step": 33217 + }, + { + "epoch": 0.78, + "grad_norm": 1.525952507837931, + "learning_rate": 2.378277246435374e-06, + "loss": 0.7645, + "step": 33218 + }, + { + "epoch": 0.78, + "grad_norm": 1.7149629864230418, + "learning_rate": 2.3777832954879075e-06, + "loss": 0.8321, + "step": 33219 + }, + { + "epoch": 0.78, + "grad_norm": 1.6874946742751933, + "learning_rate": 2.377289388919406e-06, + "loss": 0.8605, + "step": 33220 + }, + { + "epoch": 0.78, + "grad_norm": 2.1788717726802984, + "learning_rate": 2.3767955267327325e-06, + "loss": 0.7505, + "step": 33221 + }, + { + "epoch": 0.78, + "grad_norm": 0.7704021993915364, + "learning_rate": 2.3763017089307692e-06, + "loss": 0.6689, + "step": 33222 + }, + { + "epoch": 0.78, + "grad_norm": 1.6189096564175702, + "learning_rate": 2.375807935516391e-06, + "loss": 0.7819, + "step": 33223 + }, + { + "epoch": 0.78, + "grad_norm": 1.6918924245298297, + "learning_rate": 2.3753142064924785e-06, + "loss": 0.7599, + "step": 33224 + }, + { + "epoch": 0.78, + "grad_norm": 1.9547660651949144, + "learning_rate": 2.374820521861895e-06, + "loss": 0.9649, + "step": 33225 + }, + { + "epoch": 0.78, + "grad_norm": 1.5355167111705288, + "learning_rate": 2.37432688162752e-06, + "loss": 0.9619, + "step": 33226 + }, + { + "epoch": 0.78, + "grad_norm": 0.8075549547539597, + "learning_rate": 2.3738332857922307e-06, + "loss": 0.743, + "step": 33227 + }, + { + "epoch": 0.78, + "grad_norm": 1.9118676133988013, + "learning_rate": 2.3733397343588994e-06, + "loss": 0.8032, + "step": 33228 + }, + { + "epoch": 0.78, + "grad_norm": 1.6180779479718137, + "learning_rate": 2.3728462273303954e-06, + "loss": 0.8526, + "step": 33229 + }, + { + "epoch": 0.78, + "grad_norm": 1.6281984765191522, + "learning_rate": 2.3723527647095956e-06, + "loss": 0.8683, + "step": 33230 + }, + { + "epoch": 0.78, + "grad_norm": 1.767924619402887, + "learning_rate": 2.3718593464993757e-06, + "loss": 0.8384, + "step": 33231 + }, + { + "epoch": 0.78, + "grad_norm": 1.6993499045139135, + "learning_rate": 2.3713659727026016e-06, + "loss": 0.9035, + "step": 33232 + }, + { + "epoch": 0.78, + "grad_norm": 1.7869061930545225, + "learning_rate": 2.370872643322154e-06, + "loss": 0.8508, + "step": 33233 + }, + { + "epoch": 0.78, + "grad_norm": 1.8356871892890325, + "learning_rate": 2.3703793583609013e-06, + "loss": 0.8087, + "step": 33234 + }, + { + "epoch": 0.78, + "grad_norm": 1.631295166798942, + "learning_rate": 2.3698861178217125e-06, + "loss": 0.9488, + "step": 33235 + }, + { + "epoch": 0.78, + "grad_norm": 1.5290481394904745, + "learning_rate": 2.369392921707463e-06, + "loss": 0.8692, + "step": 33236 + }, + { + "epoch": 0.78, + "grad_norm": 1.6581621770512285, + "learning_rate": 2.368899770021026e-06, + "loss": 0.8051, + "step": 33237 + }, + { + "epoch": 0.78, + "grad_norm": 1.6441584076175215, + "learning_rate": 2.36840666276527e-06, + "loss": 0.9382, + "step": 33238 + }, + { + "epoch": 0.78, + "grad_norm": 0.7147319425258146, + "learning_rate": 2.3679135999430646e-06, + "loss": 0.689, + "step": 33239 + }, + { + "epoch": 0.78, + "grad_norm": 1.5300354283326991, + "learning_rate": 2.3674205815572816e-06, + "loss": 0.7349, + "step": 33240 + }, + { + "epoch": 0.78, + "grad_norm": 0.720536523280156, + "learning_rate": 2.3669276076107985e-06, + "loss": 0.6601, + "step": 33241 + }, + { + "epoch": 0.78, + "grad_norm": 1.5160731458112189, + "learning_rate": 2.366434678106474e-06, + "loss": 0.8445, + "step": 33242 + }, + { + "epoch": 0.78, + "grad_norm": 1.420936945019825, + "learning_rate": 2.365941793047184e-06, + "loss": 0.665, + "step": 33243 + }, + { + "epoch": 0.78, + "grad_norm": 1.5355367893932126, + "learning_rate": 2.365448952435797e-06, + "loss": 0.7956, + "step": 33244 + }, + { + "epoch": 0.78, + "grad_norm": 1.6537107233709862, + "learning_rate": 2.3649561562751853e-06, + "loss": 0.836, + "step": 33245 + }, + { + "epoch": 0.78, + "grad_norm": 1.5516987896128835, + "learning_rate": 2.364463404568218e-06, + "loss": 0.6459, + "step": 33246 + }, + { + "epoch": 0.78, + "grad_norm": 1.6883717121577988, + "learning_rate": 2.3639706973177577e-06, + "loss": 0.8389, + "step": 33247 + }, + { + "epoch": 0.78, + "grad_norm": 1.5545339971516563, + "learning_rate": 2.3634780345266805e-06, + "loss": 0.8513, + "step": 33248 + }, + { + "epoch": 0.78, + "grad_norm": 1.6616357438695446, + "learning_rate": 2.3629854161978505e-06, + "loss": 0.7544, + "step": 33249 + }, + { + "epoch": 0.78, + "grad_norm": 1.5029628612240238, + "learning_rate": 2.3624928423341387e-06, + "loss": 0.8905, + "step": 33250 + }, + { + "epoch": 0.78, + "grad_norm": 1.57286391277668, + "learning_rate": 2.3620003129384095e-06, + "loss": 0.7543, + "step": 33251 + }, + { + "epoch": 0.78, + "grad_norm": 1.680062247333405, + "learning_rate": 2.361507828013535e-06, + "loss": 0.8209, + "step": 33252 + }, + { + "epoch": 0.78, + "grad_norm": 1.7532199801717172, + "learning_rate": 2.3610153875623777e-06, + "loss": 0.867, + "step": 33253 + }, + { + "epoch": 0.78, + "grad_norm": 1.6094309797051711, + "learning_rate": 2.3605229915878093e-06, + "loss": 0.8183, + "step": 33254 + }, + { + "epoch": 0.78, + "grad_norm": 1.7295279887047699, + "learning_rate": 2.3600306400926955e-06, + "loss": 0.7895, + "step": 33255 + }, + { + "epoch": 0.78, + "grad_norm": 1.5641465956831335, + "learning_rate": 2.359538333079898e-06, + "loss": 0.828, + "step": 33256 + }, + { + "epoch": 0.78, + "grad_norm": 2.007200676079349, + "learning_rate": 2.359046070552289e-06, + "loss": 0.7586, + "step": 33257 + }, + { + "epoch": 0.78, + "grad_norm": 1.64587710888896, + "learning_rate": 2.358553852512735e-06, + "loss": 0.7804, + "step": 33258 + }, + { + "epoch": 0.78, + "grad_norm": 1.4898588027488098, + "learning_rate": 2.3580616789640997e-06, + "loss": 0.8675, + "step": 33259 + }, + { + "epoch": 0.78, + "grad_norm": 0.7819476045623477, + "learning_rate": 2.3575695499092455e-06, + "loss": 0.6763, + "step": 33260 + }, + { + "epoch": 0.78, + "grad_norm": 1.96907673907576, + "learning_rate": 2.3570774653510407e-06, + "loss": 0.9209, + "step": 33261 + }, + { + "epoch": 0.78, + "grad_norm": 1.7401223494816158, + "learning_rate": 2.3565854252923547e-06, + "loss": 0.8137, + "step": 33262 + }, + { + "epoch": 0.78, + "grad_norm": 1.4376010230027365, + "learning_rate": 2.356093429736047e-06, + "loss": 0.8175, + "step": 33263 + }, + { + "epoch": 0.78, + "grad_norm": 1.640145995186809, + "learning_rate": 2.355601478684981e-06, + "loss": 0.8792, + "step": 33264 + }, + { + "epoch": 0.78, + "grad_norm": 1.4473740585379993, + "learning_rate": 2.355109572142024e-06, + "loss": 0.7932, + "step": 33265 + }, + { + "epoch": 0.78, + "grad_norm": 1.6360724389599317, + "learning_rate": 2.3546177101100422e-06, + "loss": 0.814, + "step": 33266 + }, + { + "epoch": 0.78, + "grad_norm": 2.200059986429094, + "learning_rate": 2.354125892591895e-06, + "loss": 0.8502, + "step": 33267 + }, + { + "epoch": 0.78, + "grad_norm": 1.6267955028633443, + "learning_rate": 2.3536341195904455e-06, + "loss": 0.8072, + "step": 33268 + }, + { + "epoch": 0.78, + "grad_norm": 1.6176685867212912, + "learning_rate": 2.3531423911085626e-06, + "loss": 0.9241, + "step": 33269 + }, + { + "epoch": 0.78, + "grad_norm": 1.634880686631493, + "learning_rate": 2.3526507071491023e-06, + "loss": 0.9321, + "step": 33270 + }, + { + "epoch": 0.78, + "grad_norm": 0.7596039372064947, + "learning_rate": 2.352159067714933e-06, + "loss": 0.6665, + "step": 33271 + }, + { + "epoch": 0.78, + "grad_norm": 1.4177341304023816, + "learning_rate": 2.3516674728089127e-06, + "loss": 0.8196, + "step": 33272 + }, + { + "epoch": 0.78, + "grad_norm": 1.670768198713941, + "learning_rate": 2.351175922433908e-06, + "loss": 0.8516, + "step": 33273 + }, + { + "epoch": 0.78, + "grad_norm": 1.992024739494049, + "learning_rate": 2.3506844165927765e-06, + "loss": 0.8087, + "step": 33274 + }, + { + "epoch": 0.78, + "grad_norm": 1.4720863127085626, + "learning_rate": 2.350192955288385e-06, + "loss": 0.733, + "step": 33275 + }, + { + "epoch": 0.78, + "grad_norm": 1.6149496321717505, + "learning_rate": 2.349701538523591e-06, + "loss": 0.7271, + "step": 33276 + }, + { + "epoch": 0.78, + "grad_norm": 1.5331042664465044, + "learning_rate": 2.3492101663012546e-06, + "loss": 0.7666, + "step": 33277 + }, + { + "epoch": 0.78, + "grad_norm": 1.724267990845045, + "learning_rate": 2.3487188386242387e-06, + "loss": 0.7829, + "step": 33278 + }, + { + "epoch": 0.78, + "grad_norm": 1.4451325994888549, + "learning_rate": 2.348227555495407e-06, + "loss": 0.7731, + "step": 33279 + }, + { + "epoch": 0.78, + "grad_norm": 1.4874843995967084, + "learning_rate": 2.347736316917617e-06, + "loss": 0.8486, + "step": 33280 + }, + { + "epoch": 0.78, + "grad_norm": 0.7189831049174209, + "learning_rate": 2.3472451228937254e-06, + "loss": 0.6803, + "step": 33281 + }, + { + "epoch": 0.78, + "grad_norm": 1.745366863786091, + "learning_rate": 2.3467539734265966e-06, + "loss": 0.869, + "step": 33282 + }, + { + "epoch": 0.78, + "grad_norm": 2.6340926097178303, + "learning_rate": 2.3462628685190913e-06, + "loss": 0.8133, + "step": 33283 + }, + { + "epoch": 0.78, + "grad_norm": 1.5724982945438826, + "learning_rate": 2.3457718081740664e-06, + "loss": 0.7796, + "step": 33284 + }, + { + "epoch": 0.78, + "grad_norm": 1.59346057558437, + "learning_rate": 2.345280792394379e-06, + "loss": 0.7979, + "step": 33285 + }, + { + "epoch": 0.78, + "grad_norm": 1.6466339724330605, + "learning_rate": 2.3447898211828903e-06, + "loss": 0.9731, + "step": 33286 + }, + { + "epoch": 0.78, + "grad_norm": 2.5178301252824373, + "learning_rate": 2.3442988945424617e-06, + "loss": 0.9149, + "step": 33287 + }, + { + "epoch": 0.78, + "grad_norm": 1.5376775907771465, + "learning_rate": 2.3438080124759476e-06, + "loss": 0.825, + "step": 33288 + }, + { + "epoch": 0.78, + "grad_norm": 1.6856238387073825, + "learning_rate": 2.343317174986206e-06, + "loss": 0.8118, + "step": 33289 + }, + { + "epoch": 0.78, + "grad_norm": 0.8085668353554613, + "learning_rate": 2.342826382076098e-06, + "loss": 0.6831, + "step": 33290 + }, + { + "epoch": 0.78, + "grad_norm": 0.7689690331083102, + "learning_rate": 2.342335633748476e-06, + "loss": 0.7267, + "step": 33291 + }, + { + "epoch": 0.78, + "grad_norm": 1.6555815167731214, + "learning_rate": 2.341844930006203e-06, + "loss": 0.8417, + "step": 33292 + }, + { + "epoch": 0.78, + "grad_norm": 1.5287447156158926, + "learning_rate": 2.341354270852131e-06, + "loss": 0.8579, + "step": 33293 + }, + { + "epoch": 0.78, + "grad_norm": 1.661987920933307, + "learning_rate": 2.3408636562891218e-06, + "loss": 1.052, + "step": 33294 + }, + { + "epoch": 0.78, + "grad_norm": 1.8604236907317888, + "learning_rate": 2.3403730863200256e-06, + "loss": 0.7747, + "step": 33295 + }, + { + "epoch": 0.78, + "grad_norm": 1.55651628721316, + "learning_rate": 2.339882560947706e-06, + "loss": 0.8038, + "step": 33296 + }, + { + "epoch": 0.78, + "grad_norm": 1.9951043604691903, + "learning_rate": 2.3393920801750157e-06, + "loss": 0.9511, + "step": 33297 + }, + { + "epoch": 0.78, + "grad_norm": 1.4967170958922886, + "learning_rate": 2.3389016440048063e-06, + "loss": 0.9021, + "step": 33298 + }, + { + "epoch": 0.78, + "grad_norm": 1.764018126983876, + "learning_rate": 2.338411252439937e-06, + "loss": 0.7269, + "step": 33299 + }, + { + "epoch": 0.78, + "grad_norm": 1.5728064017252934, + "learning_rate": 2.337920905483266e-06, + "loss": 0.8174, + "step": 33300 + }, + { + "epoch": 0.78, + "grad_norm": 1.6780023318173634, + "learning_rate": 2.337430603137646e-06, + "loss": 0.8077, + "step": 33301 + }, + { + "epoch": 0.78, + "grad_norm": 1.5688800551675108, + "learning_rate": 2.336940345405928e-06, + "loss": 0.9098, + "step": 33302 + }, + { + "epoch": 0.78, + "grad_norm": 0.7214844389991533, + "learning_rate": 2.3364501322909685e-06, + "loss": 0.6646, + "step": 33303 + }, + { + "epoch": 0.78, + "grad_norm": 3.3270246343725374, + "learning_rate": 2.3359599637956264e-06, + "loss": 0.802, + "step": 33304 + }, + { + "epoch": 0.78, + "grad_norm": 1.63858930428898, + "learning_rate": 2.3354698399227504e-06, + "loss": 0.9264, + "step": 33305 + }, + { + "epoch": 0.78, + "grad_norm": 1.5257911159246889, + "learning_rate": 2.3349797606751945e-06, + "loss": 0.9169, + "step": 33306 + }, + { + "epoch": 0.78, + "grad_norm": 0.7678309906909558, + "learning_rate": 2.334489726055812e-06, + "loss": 0.6573, + "step": 33307 + }, + { + "epoch": 0.78, + "grad_norm": 1.5522140166136802, + "learning_rate": 2.3339997360674606e-06, + "loss": 0.955, + "step": 33308 + }, + { + "epoch": 0.78, + "grad_norm": 3.522125121713872, + "learning_rate": 2.333509790712989e-06, + "loss": 0.8264, + "step": 33309 + }, + { + "epoch": 0.78, + "grad_norm": 1.8866174085071281, + "learning_rate": 2.3330198899952484e-06, + "loss": 0.8748, + "step": 33310 + }, + { + "epoch": 0.78, + "grad_norm": 1.5106026612631507, + "learning_rate": 2.3325300339170954e-06, + "loss": 0.8725, + "step": 33311 + }, + { + "epoch": 0.78, + "grad_norm": 1.5556445951756863, + "learning_rate": 2.3320402224813776e-06, + "loss": 0.813, + "step": 33312 + }, + { + "epoch": 0.78, + "grad_norm": 2.3280818817906974, + "learning_rate": 2.3315504556909517e-06, + "loss": 0.8771, + "step": 33313 + }, + { + "epoch": 0.78, + "grad_norm": 1.612483815013158, + "learning_rate": 2.3310607335486645e-06, + "loss": 0.7481, + "step": 33314 + }, + { + "epoch": 0.78, + "grad_norm": 2.2306686167139835, + "learning_rate": 2.3305710560573723e-06, + "loss": 0.8651, + "step": 33315 + }, + { + "epoch": 0.78, + "grad_norm": 1.497987670642415, + "learning_rate": 2.330081423219921e-06, + "loss": 0.8471, + "step": 33316 + }, + { + "epoch": 0.78, + "grad_norm": 1.9307733398203488, + "learning_rate": 2.3295918350391632e-06, + "loss": 0.8152, + "step": 33317 + }, + { + "epoch": 0.78, + "grad_norm": 1.4626077704120672, + "learning_rate": 2.3291022915179575e-06, + "loss": 0.7604, + "step": 33318 + }, + { + "epoch": 0.78, + "grad_norm": 1.470132369116615, + "learning_rate": 2.3286127926591397e-06, + "loss": 0.8232, + "step": 33319 + }, + { + "epoch": 0.78, + "grad_norm": 1.6308769124481515, + "learning_rate": 2.3281233384655665e-06, + "loss": 0.8416, + "step": 33320 + }, + { + "epoch": 0.79, + "grad_norm": 0.8047085263849401, + "learning_rate": 2.3276339289400895e-06, + "loss": 0.7167, + "step": 33321 + }, + { + "epoch": 0.79, + "grad_norm": 1.6779476746859818, + "learning_rate": 2.3271445640855618e-06, + "loss": 0.7313, + "step": 33322 + }, + { + "epoch": 0.79, + "grad_norm": 1.7186129829672057, + "learning_rate": 2.326655243904822e-06, + "loss": 0.8044, + "step": 33323 + }, + { + "epoch": 0.79, + "grad_norm": 1.6202448408895291, + "learning_rate": 2.326165968400724e-06, + "loss": 0.7854, + "step": 33324 + }, + { + "epoch": 0.79, + "grad_norm": 1.7084229089216951, + "learning_rate": 2.325676737576121e-06, + "loss": 0.92, + "step": 33325 + }, + { + "epoch": 0.79, + "grad_norm": 2.033728155866505, + "learning_rate": 2.3251875514338575e-06, + "loss": 0.7626, + "step": 33326 + }, + { + "epoch": 0.79, + "grad_norm": 1.4261227115967419, + "learning_rate": 2.324698409976779e-06, + "loss": 0.8124, + "step": 33327 + }, + { + "epoch": 0.79, + "grad_norm": 1.7062307128220342, + "learning_rate": 2.324209313207736e-06, + "loss": 0.8592, + "step": 33328 + }, + { + "epoch": 0.79, + "grad_norm": 1.6940230590330452, + "learning_rate": 2.3237202611295795e-06, + "loss": 0.885, + "step": 33329 + }, + { + "epoch": 0.79, + "grad_norm": 1.767716639910951, + "learning_rate": 2.323231253745151e-06, + "loss": 0.792, + "step": 33330 + }, + { + "epoch": 0.79, + "grad_norm": 1.4435781004968566, + "learning_rate": 2.322742291057304e-06, + "loss": 0.7491, + "step": 33331 + }, + { + "epoch": 0.79, + "grad_norm": 0.8160874419685334, + "learning_rate": 2.322253373068879e-06, + "loss": 0.7562, + "step": 33332 + }, + { + "epoch": 0.79, + "grad_norm": 1.5144004515009153, + "learning_rate": 2.321764499782727e-06, + "loss": 0.938, + "step": 33333 + }, + { + "epoch": 0.79, + "grad_norm": 1.7443922035180175, + "learning_rate": 2.3212756712016913e-06, + "loss": 0.8109, + "step": 33334 + }, + { + "epoch": 0.79, + "grad_norm": 2.4906050145034557, + "learning_rate": 2.3207868873286232e-06, + "loss": 0.9579, + "step": 33335 + }, + { + "epoch": 0.79, + "grad_norm": 1.5457452262781815, + "learning_rate": 2.3202981481663646e-06, + "loss": 0.9009, + "step": 33336 + }, + { + "epoch": 0.79, + "grad_norm": 1.6297168601134757, + "learning_rate": 2.319809453717757e-06, + "loss": 0.8533, + "step": 33337 + }, + { + "epoch": 0.79, + "grad_norm": 1.6204897300503127, + "learning_rate": 2.319320803985653e-06, + "loss": 0.8845, + "step": 33338 + }, + { + "epoch": 0.79, + "grad_norm": 1.849900485439673, + "learning_rate": 2.3188321989728955e-06, + "loss": 0.7889, + "step": 33339 + }, + { + "epoch": 0.79, + "grad_norm": 1.6442097034833807, + "learning_rate": 2.31834363868233e-06, + "loss": 0.6914, + "step": 33340 + }, + { + "epoch": 0.79, + "grad_norm": 1.5401324072914386, + "learning_rate": 2.3178551231167968e-06, + "loss": 0.8153, + "step": 33341 + }, + { + "epoch": 0.79, + "grad_norm": 1.6182925317408579, + "learning_rate": 2.317366652279143e-06, + "loss": 0.8477, + "step": 33342 + }, + { + "epoch": 0.79, + "grad_norm": 1.5318059399957829, + "learning_rate": 2.3168782261722156e-06, + "loss": 0.9215, + "step": 33343 + }, + { + "epoch": 0.79, + "grad_norm": 1.5284459046665317, + "learning_rate": 2.3163898447988562e-06, + "loss": 0.7864, + "step": 33344 + }, + { + "epoch": 0.79, + "grad_norm": 1.5799754486847741, + "learning_rate": 2.315901508161904e-06, + "loss": 0.8373, + "step": 33345 + }, + { + "epoch": 0.79, + "grad_norm": 1.71750414419159, + "learning_rate": 2.315413216264206e-06, + "loss": 0.7574, + "step": 33346 + }, + { + "epoch": 0.79, + "grad_norm": 1.8070782582769827, + "learning_rate": 2.3149249691086094e-06, + "loss": 0.9091, + "step": 33347 + }, + { + "epoch": 0.79, + "grad_norm": 1.7336723101206746, + "learning_rate": 2.3144367666979517e-06, + "loss": 0.8107, + "step": 33348 + }, + { + "epoch": 0.79, + "grad_norm": 1.8809525300024763, + "learning_rate": 2.3139486090350727e-06, + "loss": 0.8365, + "step": 33349 + }, + { + "epoch": 0.79, + "grad_norm": 1.4088247612088975, + "learning_rate": 2.3134604961228225e-06, + "loss": 0.6682, + "step": 33350 + }, + { + "epoch": 0.79, + "grad_norm": 1.633848423319082, + "learning_rate": 2.3129724279640355e-06, + "loss": 0.776, + "step": 33351 + }, + { + "epoch": 0.79, + "grad_norm": 1.737325259373546, + "learning_rate": 2.312484404561559e-06, + "loss": 0.9149, + "step": 33352 + }, + { + "epoch": 0.79, + "grad_norm": 1.4849523707630286, + "learning_rate": 2.311996425918229e-06, + "loss": 0.8073, + "step": 33353 + }, + { + "epoch": 0.79, + "grad_norm": 1.6596786651802538, + "learning_rate": 2.3115084920368935e-06, + "loss": 0.8828, + "step": 33354 + }, + { + "epoch": 0.79, + "grad_norm": 2.0123559245658207, + "learning_rate": 2.3110206029203872e-06, + "loss": 0.8829, + "step": 33355 + }, + { + "epoch": 0.79, + "grad_norm": 2.4792836975800685, + "learning_rate": 2.310532758571555e-06, + "loss": 0.9099, + "step": 33356 + }, + { + "epoch": 0.79, + "grad_norm": 1.6500376994817387, + "learning_rate": 2.310044958993236e-06, + "loss": 0.7847, + "step": 33357 + }, + { + "epoch": 0.79, + "grad_norm": 1.5637192913736944, + "learning_rate": 2.3095572041882675e-06, + "loss": 0.8755, + "step": 33358 + }, + { + "epoch": 0.79, + "grad_norm": 1.7547441755590842, + "learning_rate": 2.3090694941594914e-06, + "loss": 0.8952, + "step": 33359 + }, + { + "epoch": 0.79, + "grad_norm": 0.804339018865267, + "learning_rate": 2.3085818289097506e-06, + "loss": 0.7514, + "step": 33360 + }, + { + "epoch": 0.79, + "grad_norm": 1.5970718090402114, + "learning_rate": 2.308094208441881e-06, + "loss": 0.8468, + "step": 33361 + }, + { + "epoch": 0.79, + "grad_norm": 1.525202403383781, + "learning_rate": 2.307606632758719e-06, + "loss": 0.8909, + "step": 33362 + }, + { + "epoch": 0.79, + "grad_norm": 1.6372679269902577, + "learning_rate": 2.307119101863108e-06, + "loss": 0.8122, + "step": 33363 + }, + { + "epoch": 0.79, + "grad_norm": 1.5548695719437537, + "learning_rate": 2.306631615757886e-06, + "loss": 0.7882, + "step": 33364 + }, + { + "epoch": 0.79, + "grad_norm": 1.5997449583220043, + "learning_rate": 2.306144174445891e-06, + "loss": 0.9412, + "step": 33365 + }, + { + "epoch": 0.79, + "grad_norm": 0.7543798655871405, + "learning_rate": 2.3056567779299588e-06, + "loss": 0.671, + "step": 33366 + }, + { + "epoch": 0.79, + "grad_norm": 2.032899862722545, + "learning_rate": 2.305169426212928e-06, + "loss": 0.8383, + "step": 33367 + }, + { + "epoch": 0.79, + "grad_norm": 1.5852842094537944, + "learning_rate": 2.30468211929764e-06, + "loss": 0.9404, + "step": 33368 + }, + { + "epoch": 0.79, + "grad_norm": 1.485851026189584, + "learning_rate": 2.304194857186929e-06, + "loss": 0.7997, + "step": 33369 + }, + { + "epoch": 0.79, + "grad_norm": 1.65646719527625, + "learning_rate": 2.303707639883629e-06, + "loss": 0.8714, + "step": 33370 + }, + { + "epoch": 0.79, + "grad_norm": 1.481500199915382, + "learning_rate": 2.303220467390582e-06, + "loss": 0.84, + "step": 33371 + }, + { + "epoch": 0.79, + "grad_norm": 1.5760812544452925, + "learning_rate": 2.30273333971062e-06, + "loss": 0.8252, + "step": 33372 + }, + { + "epoch": 0.79, + "grad_norm": 0.7461144945074949, + "learning_rate": 2.3022462568465843e-06, + "loss": 0.704, + "step": 33373 + }, + { + "epoch": 0.79, + "grad_norm": 1.497320629525737, + "learning_rate": 2.301759218801305e-06, + "loss": 0.9278, + "step": 33374 + }, + { + "epoch": 0.79, + "grad_norm": 1.5076237157743506, + "learning_rate": 2.3012722255776234e-06, + "loss": 0.8768, + "step": 33375 + }, + { + "epoch": 0.79, + "grad_norm": 1.4791989564856047, + "learning_rate": 2.300785277178369e-06, + "loss": 0.8576, + "step": 33376 + }, + { + "epoch": 0.79, + "grad_norm": 1.557806073947668, + "learning_rate": 2.3002983736063843e-06, + "loss": 0.7336, + "step": 33377 + }, + { + "epoch": 0.79, + "grad_norm": 1.8584521356543238, + "learning_rate": 2.2998115148644997e-06, + "loss": 0.8016, + "step": 33378 + }, + { + "epoch": 0.79, + "grad_norm": 2.494069999392311, + "learning_rate": 2.2993247009555463e-06, + "loss": 0.8388, + "step": 33379 + }, + { + "epoch": 0.79, + "grad_norm": 1.6567371172989418, + "learning_rate": 2.298837931882364e-06, + "loss": 0.8363, + "step": 33380 + }, + { + "epoch": 0.79, + "grad_norm": 1.5908009307187332, + "learning_rate": 2.2983512076477875e-06, + "loss": 0.9242, + "step": 33381 + }, + { + "epoch": 0.79, + "grad_norm": 1.6485162966576883, + "learning_rate": 2.2978645282546487e-06, + "loss": 0.8195, + "step": 33382 + }, + { + "epoch": 0.79, + "grad_norm": 1.4852880629547849, + "learning_rate": 2.2973778937057787e-06, + "loss": 0.935, + "step": 33383 + }, + { + "epoch": 0.79, + "grad_norm": 1.4685454795491717, + "learning_rate": 2.296891304004013e-06, + "loss": 0.8297, + "step": 33384 + }, + { + "epoch": 0.79, + "grad_norm": 1.6891860387310256, + "learning_rate": 2.296404759152188e-06, + "loss": 0.8539, + "step": 33385 + }, + { + "epoch": 0.79, + "grad_norm": 1.876814678725465, + "learning_rate": 2.2959182591531327e-06, + "loss": 0.9652, + "step": 33386 + }, + { + "epoch": 0.79, + "grad_norm": 1.7278664860975295, + "learning_rate": 2.295431804009678e-06, + "loss": 0.8879, + "step": 33387 + }, + { + "epoch": 0.79, + "grad_norm": 1.5442855196875676, + "learning_rate": 2.294945393724658e-06, + "loss": 0.8853, + "step": 33388 + }, + { + "epoch": 0.79, + "grad_norm": 2.294232458808314, + "learning_rate": 2.2944590283009083e-06, + "loss": 0.8955, + "step": 33389 + }, + { + "epoch": 0.79, + "grad_norm": 1.6553967051265772, + "learning_rate": 2.2939727077412578e-06, + "loss": 0.7738, + "step": 33390 + }, + { + "epoch": 0.79, + "grad_norm": 2.3908562389752355, + "learning_rate": 2.293486432048535e-06, + "loss": 0.8422, + "step": 33391 + }, + { + "epoch": 0.79, + "grad_norm": 1.8827861210655223, + "learning_rate": 2.293000201225577e-06, + "loss": 0.81, + "step": 33392 + }, + { + "epoch": 0.79, + "grad_norm": 1.6218974655384508, + "learning_rate": 2.292514015275209e-06, + "loss": 0.7878, + "step": 33393 + }, + { + "epoch": 0.79, + "grad_norm": 2.016784469833759, + "learning_rate": 2.2920278742002677e-06, + "loss": 0.8123, + "step": 33394 + }, + { + "epoch": 0.79, + "grad_norm": 1.636685717668739, + "learning_rate": 2.2915417780035763e-06, + "loss": 0.8216, + "step": 33395 + }, + { + "epoch": 0.79, + "grad_norm": 1.411850550426937, + "learning_rate": 2.2910557266879742e-06, + "loss": 0.6975, + "step": 33396 + }, + { + "epoch": 0.79, + "grad_norm": 1.4629458321636657, + "learning_rate": 2.2905697202562817e-06, + "loss": 0.8465, + "step": 33397 + }, + { + "epoch": 0.79, + "grad_norm": 1.5134193039336383, + "learning_rate": 2.2900837587113366e-06, + "loss": 0.7975, + "step": 33398 + }, + { + "epoch": 0.79, + "grad_norm": 1.436610837495852, + "learning_rate": 2.289597842055964e-06, + "loss": 0.8042, + "step": 33399 + }, + { + "epoch": 0.79, + "grad_norm": 1.81217406802448, + "learning_rate": 2.289111970292992e-06, + "loss": 0.7769, + "step": 33400 + }, + { + "epoch": 0.79, + "grad_norm": 1.5298139113493086, + "learning_rate": 2.28862614342525e-06, + "loss": 0.7546, + "step": 33401 + }, + { + "epoch": 0.79, + "grad_norm": 1.5681967646167025, + "learning_rate": 2.288140361455572e-06, + "loss": 0.8112, + "step": 33402 + }, + { + "epoch": 0.79, + "grad_norm": 1.6462828206224467, + "learning_rate": 2.2876546243867826e-06, + "loss": 0.7835, + "step": 33403 + }, + { + "epoch": 0.79, + "grad_norm": 1.5805396316609803, + "learning_rate": 2.287168932221706e-06, + "loss": 0.8502, + "step": 33404 + }, + { + "epoch": 0.79, + "grad_norm": 1.42352994455785, + "learning_rate": 2.286683284963174e-06, + "loss": 0.8152, + "step": 33405 + }, + { + "epoch": 0.79, + "grad_norm": 1.5770348401317793, + "learning_rate": 2.2861976826140164e-06, + "loss": 0.7961, + "step": 33406 + }, + { + "epoch": 0.79, + "grad_norm": 1.6004679037866174, + "learning_rate": 2.2857121251770585e-06, + "loss": 0.9431, + "step": 33407 + }, + { + "epoch": 0.79, + "grad_norm": 1.724823595403026, + "learning_rate": 2.285226612655124e-06, + "loss": 0.9839, + "step": 33408 + }, + { + "epoch": 0.79, + "grad_norm": 1.8137452919081847, + "learning_rate": 2.2847411450510426e-06, + "loss": 0.9047, + "step": 33409 + }, + { + "epoch": 0.79, + "grad_norm": 1.567626933185617, + "learning_rate": 2.284255722367643e-06, + "loss": 0.8103, + "step": 33410 + }, + { + "epoch": 0.79, + "grad_norm": 1.552221730127434, + "learning_rate": 2.2837703446077496e-06, + "loss": 0.7989, + "step": 33411 + }, + { + "epoch": 0.79, + "grad_norm": 1.5683670930773468, + "learning_rate": 2.2832850117741866e-06, + "loss": 0.8225, + "step": 33412 + }, + { + "epoch": 0.79, + "grad_norm": 1.5552967774902664, + "learning_rate": 2.282799723869783e-06, + "loss": 0.8167, + "step": 33413 + }, + { + "epoch": 0.79, + "grad_norm": 1.6525391015878534, + "learning_rate": 2.2823144808973596e-06, + "loss": 0.9157, + "step": 33414 + }, + { + "epoch": 0.79, + "grad_norm": 1.6194064443892129, + "learning_rate": 2.2818292828597457e-06, + "loss": 0.6973, + "step": 33415 + }, + { + "epoch": 0.79, + "grad_norm": 1.7773981695994234, + "learning_rate": 2.2813441297597673e-06, + "loss": 0.7835, + "step": 33416 + }, + { + "epoch": 0.79, + "grad_norm": 1.6499931035518003, + "learning_rate": 2.280859021600247e-06, + "loss": 0.9045, + "step": 33417 + }, + { + "epoch": 0.79, + "grad_norm": 1.527728927374933, + "learning_rate": 2.2803739583840066e-06, + "loss": 0.6756, + "step": 33418 + }, + { + "epoch": 0.79, + "grad_norm": 1.8408125348679387, + "learning_rate": 2.2798889401138735e-06, + "loss": 0.7228, + "step": 33419 + }, + { + "epoch": 0.79, + "grad_norm": 1.6765119953405447, + "learning_rate": 2.279403966792676e-06, + "loss": 0.9072, + "step": 33420 + }, + { + "epoch": 0.79, + "grad_norm": 1.4766777925437486, + "learning_rate": 2.2789190384232286e-06, + "loss": 0.7338, + "step": 33421 + }, + { + "epoch": 0.79, + "grad_norm": 1.7417315737789958, + "learning_rate": 2.2784341550083577e-06, + "loss": 0.9176, + "step": 33422 + }, + { + "epoch": 0.79, + "grad_norm": 2.059875520947329, + "learning_rate": 2.277949316550888e-06, + "loss": 0.9783, + "step": 33423 + }, + { + "epoch": 0.79, + "grad_norm": 1.5689643771327382, + "learning_rate": 2.2774645230536485e-06, + "loss": 0.6753, + "step": 33424 + }, + { + "epoch": 0.79, + "grad_norm": 1.8972388356468544, + "learning_rate": 2.276979774519449e-06, + "loss": 0.9535, + "step": 33425 + }, + { + "epoch": 0.79, + "grad_norm": 1.5083968533909309, + "learning_rate": 2.276495070951118e-06, + "loss": 0.8501, + "step": 33426 + }, + { + "epoch": 0.79, + "grad_norm": 2.168420601500449, + "learning_rate": 2.2760104123514814e-06, + "loss": 0.8401, + "step": 33427 + }, + { + "epoch": 0.79, + "grad_norm": 1.5945975829433754, + "learning_rate": 2.275525798723355e-06, + "loss": 0.8456, + "step": 33428 + }, + { + "epoch": 0.79, + "grad_norm": 1.6814086347643324, + "learning_rate": 2.2750412300695656e-06, + "loss": 0.7312, + "step": 33429 + }, + { + "epoch": 0.79, + "grad_norm": 1.5454157178900743, + "learning_rate": 2.2745567063929285e-06, + "loss": 0.9725, + "step": 33430 + }, + { + "epoch": 0.79, + "grad_norm": 1.8979499017114592, + "learning_rate": 2.2740722276962714e-06, + "loss": 0.946, + "step": 33431 + }, + { + "epoch": 0.79, + "grad_norm": 1.6521775516152404, + "learning_rate": 2.273587793982409e-06, + "loss": 0.8605, + "step": 33432 + }, + { + "epoch": 0.79, + "grad_norm": 1.5065896297988488, + "learning_rate": 2.273103405254167e-06, + "loss": 0.8176, + "step": 33433 + }, + { + "epoch": 0.79, + "grad_norm": 1.518086387880684, + "learning_rate": 2.2726190615143638e-06, + "loss": 0.6939, + "step": 33434 + }, + { + "epoch": 0.79, + "grad_norm": 1.4011990306312911, + "learning_rate": 2.272134762765815e-06, + "loss": 0.7426, + "step": 33435 + }, + { + "epoch": 0.79, + "grad_norm": 1.7155467313725605, + "learning_rate": 2.271650509011346e-06, + "loss": 0.8579, + "step": 33436 + }, + { + "epoch": 0.79, + "grad_norm": 1.5228831773018003, + "learning_rate": 2.2711663002537754e-06, + "loss": 0.9608, + "step": 33437 + }, + { + "epoch": 0.79, + "grad_norm": 1.5931949063694568, + "learning_rate": 2.270682136495923e-06, + "loss": 0.8507, + "step": 33438 + }, + { + "epoch": 0.79, + "grad_norm": 2.5399506914967955, + "learning_rate": 2.2701980177406026e-06, + "loss": 0.7883, + "step": 33439 + }, + { + "epoch": 0.79, + "grad_norm": 1.4847541510137183, + "learning_rate": 2.2697139439906367e-06, + "loss": 0.8396, + "step": 33440 + }, + { + "epoch": 0.79, + "grad_norm": 1.5986101477186716, + "learning_rate": 2.269229915248846e-06, + "loss": 0.8086, + "step": 33441 + }, + { + "epoch": 0.79, + "grad_norm": 1.9556069630472492, + "learning_rate": 2.2687459315180473e-06, + "loss": 0.8793, + "step": 33442 + }, + { + "epoch": 0.79, + "grad_norm": 1.581660262550572, + "learning_rate": 2.268261992801054e-06, + "loss": 0.872, + "step": 33443 + }, + { + "epoch": 0.79, + "grad_norm": 0.7419590087928822, + "learning_rate": 2.267778099100687e-06, + "loss": 0.6624, + "step": 33444 + }, + { + "epoch": 0.79, + "grad_norm": 2.212060028287821, + "learning_rate": 2.267294250419767e-06, + "loss": 0.8933, + "step": 33445 + }, + { + "epoch": 0.79, + "grad_norm": 1.7735954437491368, + "learning_rate": 2.2668104467611087e-06, + "loss": 0.8342, + "step": 33446 + }, + { + "epoch": 0.79, + "grad_norm": 1.686447873011017, + "learning_rate": 2.2663266881275247e-06, + "loss": 0.8025, + "step": 33447 + }, + { + "epoch": 0.79, + "grad_norm": 1.6242086868620325, + "learning_rate": 2.265842974521838e-06, + "loss": 0.9175, + "step": 33448 + }, + { + "epoch": 0.79, + "grad_norm": 2.5277418974035473, + "learning_rate": 2.265359305946859e-06, + "loss": 0.7941, + "step": 33449 + }, + { + "epoch": 0.79, + "grad_norm": 1.8477240703035924, + "learning_rate": 2.2648756824054097e-06, + "loss": 0.7698, + "step": 33450 + }, + { + "epoch": 0.79, + "grad_norm": 1.771431645626686, + "learning_rate": 2.2643921039003013e-06, + "loss": 0.8167, + "step": 33451 + }, + { + "epoch": 0.79, + "grad_norm": 1.5558872552575194, + "learning_rate": 2.263908570434352e-06, + "loss": 0.7562, + "step": 33452 + }, + { + "epoch": 0.79, + "grad_norm": 1.5570605414551766, + "learning_rate": 2.2634250820103752e-06, + "loss": 0.7444, + "step": 33453 + }, + { + "epoch": 0.79, + "grad_norm": 1.6421930179566477, + "learning_rate": 2.26294163863119e-06, + "loss": 0.8831, + "step": 33454 + }, + { + "epoch": 0.79, + "grad_norm": 2.0894774248605965, + "learning_rate": 2.2624582402996066e-06, + "loss": 0.8066, + "step": 33455 + }, + { + "epoch": 0.79, + "grad_norm": 1.5536867833447874, + "learning_rate": 2.261974887018439e-06, + "loss": 0.8107, + "step": 33456 + }, + { + "epoch": 0.79, + "grad_norm": 1.8914630319864503, + "learning_rate": 2.2614915787905024e-06, + "loss": 0.8343, + "step": 33457 + }, + { + "epoch": 0.79, + "grad_norm": 1.8432213902009054, + "learning_rate": 2.261008315618616e-06, + "loss": 0.7908, + "step": 33458 + }, + { + "epoch": 0.79, + "grad_norm": 1.7877176830153736, + "learning_rate": 2.260525097505588e-06, + "loss": 0.6931, + "step": 33459 + }, + { + "epoch": 0.79, + "grad_norm": 1.458771128806158, + "learning_rate": 2.2600419244542316e-06, + "loss": 0.8037, + "step": 33460 + }, + { + "epoch": 0.79, + "grad_norm": 1.8952878437806682, + "learning_rate": 2.2595587964673614e-06, + "loss": 0.8771, + "step": 33461 + }, + { + "epoch": 0.79, + "grad_norm": 1.59147421008894, + "learning_rate": 2.2590757135477927e-06, + "loss": 0.7766, + "step": 33462 + }, + { + "epoch": 0.79, + "grad_norm": 1.5509793506498057, + "learning_rate": 2.2585926756983355e-06, + "loss": 0.8194, + "step": 33463 + }, + { + "epoch": 0.79, + "grad_norm": 1.5189460860411728, + "learning_rate": 2.2581096829218008e-06, + "loss": 0.8128, + "step": 33464 + }, + { + "epoch": 0.79, + "grad_norm": 1.5144926279981388, + "learning_rate": 2.2576267352210022e-06, + "loss": 0.8297, + "step": 33465 + }, + { + "epoch": 0.79, + "grad_norm": 0.7717468910034431, + "learning_rate": 2.257143832598755e-06, + "loss": 0.6896, + "step": 33466 + }, + { + "epoch": 0.79, + "grad_norm": 1.4573193262648916, + "learning_rate": 2.256660975057867e-06, + "loss": 0.8058, + "step": 33467 + }, + { + "epoch": 0.79, + "grad_norm": 1.6479501120600222, + "learning_rate": 2.256178162601148e-06, + "loss": 0.7937, + "step": 33468 + }, + { + "epoch": 0.79, + "grad_norm": 1.6951926730216573, + "learning_rate": 2.255695395231412e-06, + "loss": 0.7796, + "step": 33469 + }, + { + "epoch": 0.79, + "grad_norm": 1.5880742626701703, + "learning_rate": 2.255212672951471e-06, + "loss": 0.7993, + "step": 33470 + }, + { + "epoch": 0.79, + "grad_norm": 1.8265108246576753, + "learning_rate": 2.2547299957641345e-06, + "loss": 0.8346, + "step": 33471 + }, + { + "epoch": 0.79, + "grad_norm": 1.4157389400088018, + "learning_rate": 2.2542473636722095e-06, + "loss": 0.7379, + "step": 33472 + }, + { + "epoch": 0.79, + "grad_norm": 1.4261874977587383, + "learning_rate": 2.2537647766785107e-06, + "loss": 0.7982, + "step": 33473 + }, + { + "epoch": 0.79, + "grad_norm": 1.6038735999416978, + "learning_rate": 2.253282234785843e-06, + "loss": 0.851, + "step": 33474 + }, + { + "epoch": 0.79, + "grad_norm": 1.681533956457174, + "learning_rate": 2.2527997379970214e-06, + "loss": 0.7667, + "step": 33475 + }, + { + "epoch": 0.79, + "grad_norm": 1.7730294049974036, + "learning_rate": 2.25231728631485e-06, + "loss": 0.9193, + "step": 33476 + }, + { + "epoch": 0.79, + "grad_norm": 1.734688685208965, + "learning_rate": 2.251834879742143e-06, + "loss": 0.7141, + "step": 33477 + }, + { + "epoch": 0.79, + "grad_norm": 1.64365039091426, + "learning_rate": 2.251352518281704e-06, + "loss": 0.7889, + "step": 33478 + }, + { + "epoch": 0.79, + "grad_norm": 1.6407236164333268, + "learning_rate": 2.250870201936346e-06, + "loss": 0.8057, + "step": 33479 + }, + { + "epoch": 0.79, + "grad_norm": 1.8382399466607788, + "learning_rate": 2.250387930708875e-06, + "loss": 0.8807, + "step": 33480 + }, + { + "epoch": 0.79, + "grad_norm": 0.7962684272880837, + "learning_rate": 2.2499057046020966e-06, + "loss": 0.7162, + "step": 33481 + }, + { + "epoch": 0.79, + "grad_norm": 1.5594263049111168, + "learning_rate": 2.24942352361882e-06, + "loss": 0.7702, + "step": 33482 + }, + { + "epoch": 0.79, + "grad_norm": 1.700380622810718, + "learning_rate": 2.248941387761857e-06, + "loss": 0.861, + "step": 33483 + }, + { + "epoch": 0.79, + "grad_norm": 1.7924616502747166, + "learning_rate": 2.2484592970340115e-06, + "loss": 0.7897, + "step": 33484 + }, + { + "epoch": 0.79, + "grad_norm": 1.656643064230803, + "learning_rate": 2.247977251438086e-06, + "loss": 0.7995, + "step": 33485 + }, + { + "epoch": 0.79, + "grad_norm": 1.7567049147798126, + "learning_rate": 2.247495250976892e-06, + "loss": 0.7745, + "step": 33486 + }, + { + "epoch": 0.79, + "grad_norm": 1.6619156525548848, + "learning_rate": 2.2470132956532376e-06, + "loss": 0.7606, + "step": 33487 + }, + { + "epoch": 0.79, + "grad_norm": 1.7929350009870977, + "learning_rate": 2.2465313854699265e-06, + "loss": 0.8059, + "step": 33488 + }, + { + "epoch": 0.79, + "grad_norm": 1.7085881425952656, + "learning_rate": 2.2460495204297615e-06, + "loss": 0.7966, + "step": 33489 + }, + { + "epoch": 0.79, + "grad_norm": 1.9529853778941917, + "learning_rate": 2.2455677005355513e-06, + "loss": 0.815, + "step": 33490 + }, + { + "epoch": 0.79, + "grad_norm": 1.8217736119139063, + "learning_rate": 2.245085925790104e-06, + "loss": 0.8564, + "step": 33491 + }, + { + "epoch": 0.79, + "grad_norm": 1.587398898557458, + "learning_rate": 2.2446041961962207e-06, + "loss": 0.7593, + "step": 33492 + }, + { + "epoch": 0.79, + "grad_norm": 2.0113976163958927, + "learning_rate": 2.2441225117567056e-06, + "loss": 0.8307, + "step": 33493 + }, + { + "epoch": 0.79, + "grad_norm": 1.7704695657786433, + "learning_rate": 2.2436408724743664e-06, + "loss": 0.9302, + "step": 33494 + }, + { + "epoch": 0.79, + "grad_norm": 0.8075465129749543, + "learning_rate": 2.243159278352003e-06, + "loss": 0.7035, + "step": 33495 + }, + { + "epoch": 0.79, + "grad_norm": 1.8072206513650768, + "learning_rate": 2.242677729392425e-06, + "loss": 0.7656, + "step": 33496 + }, + { + "epoch": 0.79, + "grad_norm": 1.4385717807832243, + "learning_rate": 2.242196225598431e-06, + "loss": 0.8409, + "step": 33497 + }, + { + "epoch": 0.79, + "grad_norm": 1.778600378007498, + "learning_rate": 2.241714766972828e-06, + "loss": 0.7262, + "step": 33498 + }, + { + "epoch": 0.79, + "grad_norm": 2.0255709480522635, + "learning_rate": 2.241233353518416e-06, + "loss": 0.7585, + "step": 33499 + }, + { + "epoch": 0.79, + "grad_norm": 1.423521405829967, + "learning_rate": 2.240751985238e-06, + "loss": 0.7804, + "step": 33500 + }, + { + "epoch": 0.79, + "grad_norm": 3.3773830349092084, + "learning_rate": 2.2402706621343873e-06, + "loss": 0.8682, + "step": 33501 + }, + { + "epoch": 0.79, + "grad_norm": 1.7743475036939274, + "learning_rate": 2.2397893842103714e-06, + "loss": 0.7136, + "step": 33502 + }, + { + "epoch": 0.79, + "grad_norm": 1.4385259417739376, + "learning_rate": 2.2393081514687564e-06, + "loss": 0.8414, + "step": 33503 + }, + { + "epoch": 0.79, + "grad_norm": 1.579645365081228, + "learning_rate": 2.2388269639123482e-06, + "loss": 0.8662, + "step": 33504 + }, + { + "epoch": 0.79, + "grad_norm": 1.5275167427798255, + "learning_rate": 2.2383458215439513e-06, + "loss": 0.9697, + "step": 33505 + }, + { + "epoch": 0.79, + "grad_norm": 1.6978289539875053, + "learning_rate": 2.2378647243663563e-06, + "loss": 0.8297, + "step": 33506 + }, + { + "epoch": 0.79, + "grad_norm": 1.6158294111806852, + "learning_rate": 2.2373836723823714e-06, + "loss": 0.8168, + "step": 33507 + }, + { + "epoch": 0.79, + "grad_norm": 1.5979045549670656, + "learning_rate": 2.2369026655947988e-06, + "loss": 0.7739, + "step": 33508 + }, + { + "epoch": 0.79, + "grad_norm": 1.5879666463386188, + "learning_rate": 2.236421704006436e-06, + "loss": 0.8208, + "step": 33509 + }, + { + "epoch": 0.79, + "grad_norm": 1.7553290762170035, + "learning_rate": 2.2359407876200822e-06, + "loss": 0.8068, + "step": 33510 + }, + { + "epoch": 0.79, + "grad_norm": 1.4468560144314782, + "learning_rate": 2.235459916438538e-06, + "loss": 0.7753, + "step": 33511 + }, + { + "epoch": 0.79, + "grad_norm": 1.6029017292563381, + "learning_rate": 2.2349790904646085e-06, + "loss": 0.7986, + "step": 33512 + }, + { + "epoch": 0.79, + "grad_norm": 1.6104274712924438, + "learning_rate": 2.2344983097010854e-06, + "loss": 0.8868, + "step": 33513 + }, + { + "epoch": 0.79, + "grad_norm": 1.7222848818694547, + "learning_rate": 2.234017574150774e-06, + "loss": 0.8432, + "step": 33514 + }, + { + "epoch": 0.79, + "grad_norm": 1.43515024206068, + "learning_rate": 2.2335368838164715e-06, + "loss": 0.7972, + "step": 33515 + }, + { + "epoch": 0.79, + "grad_norm": 1.649021270015167, + "learning_rate": 2.2330562387009745e-06, + "loss": 0.9308, + "step": 33516 + }, + { + "epoch": 0.79, + "grad_norm": 1.5945103280308293, + "learning_rate": 2.2325756388070817e-06, + "loss": 0.718, + "step": 33517 + }, + { + "epoch": 0.79, + "grad_norm": 0.8177384668431311, + "learning_rate": 2.2320950841375956e-06, + "loss": 0.71, + "step": 33518 + }, + { + "epoch": 0.79, + "grad_norm": 4.393548041146507, + "learning_rate": 2.2316145746953112e-06, + "loss": 0.7453, + "step": 33519 + }, + { + "epoch": 0.79, + "grad_norm": 1.7006583780431297, + "learning_rate": 2.231134110483023e-06, + "loss": 0.9752, + "step": 33520 + }, + { + "epoch": 0.79, + "grad_norm": 1.5998841267423372, + "learning_rate": 2.2306536915035326e-06, + "loss": 0.9501, + "step": 33521 + }, + { + "epoch": 0.79, + "grad_norm": 1.679361292163013, + "learning_rate": 2.2301733177596407e-06, + "loss": 0.8382, + "step": 33522 + }, + { + "epoch": 0.79, + "grad_norm": 1.6592380587156688, + "learning_rate": 2.229692989254135e-06, + "loss": 0.8027, + "step": 33523 + }, + { + "epoch": 0.79, + "grad_norm": 1.66474134310653, + "learning_rate": 2.229212705989816e-06, + "loss": 0.7915, + "step": 33524 + }, + { + "epoch": 0.79, + "grad_norm": 1.6985487665482237, + "learning_rate": 2.228732467969481e-06, + "loss": 0.8573, + "step": 33525 + }, + { + "epoch": 0.79, + "grad_norm": 1.5774387462422381, + "learning_rate": 2.228252275195929e-06, + "loss": 0.8593, + "step": 33526 + }, + { + "epoch": 0.79, + "grad_norm": 1.8880339062035352, + "learning_rate": 2.2277721276719532e-06, + "loss": 0.8006, + "step": 33527 + }, + { + "epoch": 0.79, + "grad_norm": 1.4792204737592154, + "learning_rate": 2.227292025400345e-06, + "loss": 0.7643, + "step": 33528 + }, + { + "epoch": 0.79, + "grad_norm": 0.7365192011378734, + "learning_rate": 2.226811968383906e-06, + "loss": 0.7093, + "step": 33529 + }, + { + "epoch": 0.79, + "grad_norm": 1.6450788497880466, + "learning_rate": 2.226331956625427e-06, + "loss": 0.828, + "step": 33530 + }, + { + "epoch": 0.79, + "grad_norm": 1.4444884085915581, + "learning_rate": 2.2258519901277066e-06, + "loss": 0.7406, + "step": 33531 + }, + { + "epoch": 0.79, + "grad_norm": 1.6297918621133907, + "learning_rate": 2.2253720688935344e-06, + "loss": 0.8739, + "step": 33532 + }, + { + "epoch": 0.79, + "grad_norm": 1.9697014032098954, + "learning_rate": 2.2248921929257106e-06, + "loss": 0.8439, + "step": 33533 + }, + { + "epoch": 0.79, + "grad_norm": 1.82460899663233, + "learning_rate": 2.2244123622270218e-06, + "loss": 0.9061, + "step": 33534 + }, + { + "epoch": 0.79, + "grad_norm": 1.757693157217772, + "learning_rate": 2.223932576800271e-06, + "loss": 0.8533, + "step": 33535 + }, + { + "epoch": 0.79, + "grad_norm": 1.3833795534566706, + "learning_rate": 2.2234528366482445e-06, + "loss": 0.8165, + "step": 33536 + }, + { + "epoch": 0.79, + "grad_norm": 1.5226192866101256, + "learning_rate": 2.2229731417737354e-06, + "loss": 0.8206, + "step": 33537 + }, + { + "epoch": 0.79, + "grad_norm": 1.4142320353519717, + "learning_rate": 2.2224934921795392e-06, + "loss": 0.8569, + "step": 33538 + }, + { + "epoch": 0.79, + "grad_norm": 2.014435065394181, + "learning_rate": 2.2220138878684516e-06, + "loss": 0.8243, + "step": 33539 + }, + { + "epoch": 0.79, + "grad_norm": 1.5424074139145003, + "learning_rate": 2.221534328843261e-06, + "loss": 0.7876, + "step": 33540 + }, + { + "epoch": 0.79, + "grad_norm": 0.7815145396899923, + "learning_rate": 2.221054815106757e-06, + "loss": 0.6641, + "step": 33541 + }, + { + "epoch": 0.79, + "grad_norm": 1.4770086007361303, + "learning_rate": 2.2205753466617353e-06, + "loss": 0.869, + "step": 33542 + }, + { + "epoch": 0.79, + "grad_norm": 1.5156652736935488, + "learning_rate": 2.2200959235109886e-06, + "loss": 0.8063, + "step": 33543 + }, + { + "epoch": 0.79, + "grad_norm": 1.651546854042159, + "learning_rate": 2.219616545657307e-06, + "loss": 0.7563, + "step": 33544 + }, + { + "epoch": 0.79, + "grad_norm": 1.9320351524818313, + "learning_rate": 2.2191372131034793e-06, + "loss": 0.8297, + "step": 33545 + }, + { + "epoch": 0.79, + "grad_norm": 1.5732515667309288, + "learning_rate": 2.2186579258522966e-06, + "loss": 0.7869, + "step": 33546 + }, + { + "epoch": 0.79, + "grad_norm": 1.701586332645632, + "learning_rate": 2.2181786839065544e-06, + "loss": 0.8251, + "step": 33547 + }, + { + "epoch": 0.79, + "grad_norm": 1.6596293040870123, + "learning_rate": 2.2176994872690404e-06, + "loss": 0.8492, + "step": 33548 + }, + { + "epoch": 0.79, + "grad_norm": 1.467111039581484, + "learning_rate": 2.2172203359425405e-06, + "loss": 0.7663, + "step": 33549 + }, + { + "epoch": 0.79, + "grad_norm": 2.3715700933557695, + "learning_rate": 2.2167412299298497e-06, + "loss": 0.6999, + "step": 33550 + }, + { + "epoch": 0.79, + "grad_norm": 1.8536148085891104, + "learning_rate": 2.2162621692337537e-06, + "loss": 0.9561, + "step": 33551 + }, + { + "epoch": 0.79, + "grad_norm": 2.3510486990344797, + "learning_rate": 2.2157831538570464e-06, + "loss": 0.8181, + "step": 33552 + }, + { + "epoch": 0.79, + "grad_norm": 1.6710304636787214, + "learning_rate": 2.2153041838025114e-06, + "loss": 0.7886, + "step": 33553 + }, + { + "epoch": 0.79, + "grad_norm": 1.5998429898448852, + "learning_rate": 2.2148252590729424e-06, + "loss": 0.8295, + "step": 33554 + }, + { + "epoch": 0.79, + "grad_norm": 0.7643951651832772, + "learning_rate": 2.2143463796711228e-06, + "loss": 0.7315, + "step": 33555 + }, + { + "epoch": 0.79, + "grad_norm": 0.7889645383327605, + "learning_rate": 2.213867545599846e-06, + "loss": 0.73, + "step": 33556 + }, + { + "epoch": 0.79, + "grad_norm": 1.6902398309485693, + "learning_rate": 2.2133887568618972e-06, + "loss": 0.9496, + "step": 33557 + }, + { + "epoch": 0.79, + "grad_norm": 1.5348826458156846, + "learning_rate": 2.2129100134600624e-06, + "loss": 0.8122, + "step": 33558 + }, + { + "epoch": 0.79, + "grad_norm": 1.6942484715068864, + "learning_rate": 2.21243131539713e-06, + "loss": 0.8337, + "step": 33559 + }, + { + "epoch": 0.79, + "grad_norm": 1.4641093577612931, + "learning_rate": 2.2119526626758914e-06, + "loss": 0.8074, + "step": 33560 + }, + { + "epoch": 0.79, + "grad_norm": 1.8540146810179843, + "learning_rate": 2.21147405529913e-06, + "loss": 0.7556, + "step": 33561 + }, + { + "epoch": 0.79, + "grad_norm": 1.7162082882244578, + "learning_rate": 2.2109954932696285e-06, + "loss": 0.8432, + "step": 33562 + }, + { + "epoch": 0.79, + "grad_norm": 1.5327360643947006, + "learning_rate": 2.210516976590179e-06, + "loss": 0.763, + "step": 33563 + }, + { + "epoch": 0.79, + "grad_norm": 1.7309356973299155, + "learning_rate": 2.2100385052635677e-06, + "loss": 0.8615, + "step": 33564 + }, + { + "epoch": 0.79, + "grad_norm": 1.9412070226756974, + "learning_rate": 2.209560079292579e-06, + "loss": 0.8327, + "step": 33565 + }, + { + "epoch": 0.79, + "grad_norm": 1.4515147637173125, + "learning_rate": 2.2090816986799934e-06, + "loss": 0.7179, + "step": 33566 + }, + { + "epoch": 0.79, + "grad_norm": 1.8145217073168047, + "learning_rate": 2.208603363428602e-06, + "loss": 0.7033, + "step": 33567 + }, + { + "epoch": 0.79, + "grad_norm": 1.6485415372247079, + "learning_rate": 2.2081250735411917e-06, + "loss": 0.886, + "step": 33568 + }, + { + "epoch": 0.79, + "grad_norm": 1.7430505194670143, + "learning_rate": 2.2076468290205433e-06, + "loss": 0.7355, + "step": 33569 + }, + { + "epoch": 0.79, + "grad_norm": 1.6998046242305895, + "learning_rate": 2.2071686298694393e-06, + "loss": 0.7871, + "step": 33570 + }, + { + "epoch": 0.79, + "grad_norm": 0.7821914004386333, + "learning_rate": 2.2066904760906704e-06, + "loss": 0.7233, + "step": 33571 + }, + { + "epoch": 0.79, + "grad_norm": 1.5532742275023326, + "learning_rate": 2.206212367687014e-06, + "loss": 0.7952, + "step": 33572 + }, + { + "epoch": 0.79, + "grad_norm": 0.7999794079287371, + "learning_rate": 2.205734304661259e-06, + "loss": 0.6673, + "step": 33573 + }, + { + "epoch": 0.79, + "grad_norm": 2.1577303364778704, + "learning_rate": 2.2052562870161832e-06, + "loss": 0.745, + "step": 33574 + }, + { + "epoch": 0.79, + "grad_norm": 1.6230481620402173, + "learning_rate": 2.2047783147545763e-06, + "loss": 0.8702, + "step": 33575 + }, + { + "epoch": 0.79, + "grad_norm": 1.4821261496286382, + "learning_rate": 2.2043003878792156e-06, + "loss": 0.8851, + "step": 33576 + }, + { + "epoch": 0.79, + "grad_norm": 1.3924149002778203, + "learning_rate": 2.2038225063928887e-06, + "loss": 0.7351, + "step": 33577 + }, + { + "epoch": 0.79, + "grad_norm": 1.955737992577079, + "learning_rate": 2.203344670298375e-06, + "loss": 0.921, + "step": 33578 + }, + { + "epoch": 0.79, + "grad_norm": 1.7315071922271141, + "learning_rate": 2.202866879598454e-06, + "loss": 0.8282, + "step": 33579 + }, + { + "epoch": 0.79, + "grad_norm": 1.7706291572177457, + "learning_rate": 2.2023891342959114e-06, + "loss": 0.8727, + "step": 33580 + }, + { + "epoch": 0.79, + "grad_norm": 1.646340984303448, + "learning_rate": 2.20191143439353e-06, + "loss": 0.8109, + "step": 33581 + }, + { + "epoch": 0.79, + "grad_norm": 1.7257030298203464, + "learning_rate": 2.20143377989409e-06, + "loss": 0.9345, + "step": 33582 + }, + { + "epoch": 0.79, + "grad_norm": 1.545026824269654, + "learning_rate": 2.200956170800368e-06, + "loss": 0.744, + "step": 33583 + }, + { + "epoch": 0.79, + "grad_norm": 4.181822317780578, + "learning_rate": 2.2004786071151486e-06, + "loss": 0.837, + "step": 33584 + }, + { + "epoch": 0.79, + "grad_norm": 5.274835097055456, + "learning_rate": 2.2000010888412137e-06, + "loss": 0.7239, + "step": 33585 + }, + { + "epoch": 0.79, + "grad_norm": 1.5064878640003774, + "learning_rate": 2.1995236159813437e-06, + "loss": 0.9529, + "step": 33586 + }, + { + "epoch": 0.79, + "grad_norm": 1.6492805704316078, + "learning_rate": 2.199046188538313e-06, + "loss": 0.9093, + "step": 33587 + }, + { + "epoch": 0.79, + "grad_norm": 1.508789472190252, + "learning_rate": 2.198568806514906e-06, + "loss": 0.7869, + "step": 33588 + }, + { + "epoch": 0.79, + "grad_norm": 1.5848775974203617, + "learning_rate": 2.198091469913902e-06, + "loss": 0.7835, + "step": 33589 + }, + { + "epoch": 0.79, + "grad_norm": 1.5493090853246128, + "learning_rate": 2.197614178738081e-06, + "loss": 0.9384, + "step": 33590 + }, + { + "epoch": 0.79, + "grad_norm": 2.0237483554234266, + "learning_rate": 2.197136932990218e-06, + "loss": 0.8356, + "step": 33591 + }, + { + "epoch": 0.79, + "grad_norm": 2.092013876408737, + "learning_rate": 2.1966597326730944e-06, + "loss": 0.9724, + "step": 33592 + }, + { + "epoch": 0.79, + "grad_norm": 1.9180346712400707, + "learning_rate": 2.19618257778949e-06, + "loss": 0.7621, + "step": 33593 + }, + { + "epoch": 0.79, + "grad_norm": 1.5647903475109946, + "learning_rate": 2.1957054683421818e-06, + "loss": 0.8352, + "step": 33594 + }, + { + "epoch": 0.79, + "grad_norm": 2.3341424783099236, + "learning_rate": 2.1952284043339443e-06, + "loss": 0.9074, + "step": 33595 + }, + { + "epoch": 0.79, + "grad_norm": 1.846322956927842, + "learning_rate": 2.194751385767561e-06, + "loss": 0.7854, + "step": 33596 + }, + { + "epoch": 0.79, + "grad_norm": 1.6054998649727013, + "learning_rate": 2.1942744126458027e-06, + "loss": 0.8258, + "step": 33597 + }, + { + "epoch": 0.79, + "grad_norm": 2.3876865120347226, + "learning_rate": 2.1937974849714505e-06, + "loss": 0.7991, + "step": 33598 + }, + { + "epoch": 0.79, + "grad_norm": 1.9465858187747713, + "learning_rate": 2.193320602747283e-06, + "loss": 0.7738, + "step": 33599 + }, + { + "epoch": 0.79, + "grad_norm": 1.7349526168340181, + "learning_rate": 2.192843765976075e-06, + "loss": 0.8629, + "step": 33600 + }, + { + "epoch": 0.79, + "grad_norm": 1.6362668711303558, + "learning_rate": 2.1923669746606004e-06, + "loss": 0.8508, + "step": 33601 + }, + { + "epoch": 0.79, + "grad_norm": 1.505155953246246, + "learning_rate": 2.191890228803636e-06, + "loss": 0.856, + "step": 33602 + }, + { + "epoch": 0.79, + "grad_norm": 1.6276412042953492, + "learning_rate": 2.191413528407964e-06, + "loss": 0.9096, + "step": 33603 + }, + { + "epoch": 0.79, + "grad_norm": 1.661258953845482, + "learning_rate": 2.1909368734763505e-06, + "loss": 0.9856, + "step": 33604 + }, + { + "epoch": 0.79, + "grad_norm": 1.4052376116695176, + "learning_rate": 2.1904602640115733e-06, + "loss": 0.9225, + "step": 33605 + }, + { + "epoch": 0.79, + "grad_norm": 1.626936147945132, + "learning_rate": 2.189983700016409e-06, + "loss": 0.8997, + "step": 33606 + }, + { + "epoch": 0.79, + "grad_norm": 1.5651050280122256, + "learning_rate": 2.1895071814936386e-06, + "loss": 0.9001, + "step": 33607 + }, + { + "epoch": 0.79, + "grad_norm": 1.908876989928664, + "learning_rate": 2.189030708446024e-06, + "loss": 0.8046, + "step": 33608 + }, + { + "epoch": 0.79, + "grad_norm": 1.5755785234568147, + "learning_rate": 2.188554280876346e-06, + "loss": 0.8715, + "step": 33609 + }, + { + "epoch": 0.79, + "grad_norm": 1.5509259575456913, + "learning_rate": 2.1880778987873806e-06, + "loss": 0.8567, + "step": 33610 + }, + { + "epoch": 0.79, + "grad_norm": 1.5303994509468237, + "learning_rate": 2.1876015621818956e-06, + "loss": 0.8652, + "step": 33611 + }, + { + "epoch": 0.79, + "grad_norm": 1.601307147864735, + "learning_rate": 2.187125271062671e-06, + "loss": 0.9541, + "step": 33612 + }, + { + "epoch": 0.79, + "grad_norm": 0.7384548886790567, + "learning_rate": 2.1866490254324745e-06, + "loss": 0.6435, + "step": 33613 + }, + { + "epoch": 0.79, + "grad_norm": 2.004280816490065, + "learning_rate": 2.186172825294083e-06, + "loss": 0.8477, + "step": 33614 + }, + { + "epoch": 0.79, + "grad_norm": 1.5101188043044877, + "learning_rate": 2.1856966706502647e-06, + "loss": 0.7889, + "step": 33615 + }, + { + "epoch": 0.79, + "grad_norm": 1.4389515976843053, + "learning_rate": 2.1852205615037968e-06, + "loss": 0.8413, + "step": 33616 + }, + { + "epoch": 0.79, + "grad_norm": 1.4171228472424455, + "learning_rate": 2.1847444978574485e-06, + "loss": 0.8954, + "step": 33617 + }, + { + "epoch": 0.79, + "grad_norm": 0.7630478821952296, + "learning_rate": 2.18426847971399e-06, + "loss": 0.7653, + "step": 33618 + }, + { + "epoch": 0.79, + "grad_norm": 0.7886280972754119, + "learning_rate": 2.1837925070761946e-06, + "loss": 0.7346, + "step": 33619 + }, + { + "epoch": 0.79, + "grad_norm": 0.7080291497677921, + "learning_rate": 2.183316579946836e-06, + "loss": 0.6661, + "step": 33620 + }, + { + "epoch": 0.79, + "grad_norm": 1.4655741864819594, + "learning_rate": 2.1828406983286832e-06, + "loss": 0.7771, + "step": 33621 + }, + { + "epoch": 0.79, + "grad_norm": 1.6348603945995965, + "learning_rate": 2.1823648622245043e-06, + "loss": 0.8093, + "step": 33622 + }, + { + "epoch": 0.79, + "grad_norm": 1.5309172416696137, + "learning_rate": 2.181889071637072e-06, + "loss": 0.8599, + "step": 33623 + }, + { + "epoch": 0.79, + "grad_norm": 1.7348279234748039, + "learning_rate": 2.1814133265691594e-06, + "loss": 0.8408, + "step": 33624 + }, + { + "epoch": 0.79, + "grad_norm": 1.5355468298560389, + "learning_rate": 2.1809376270235348e-06, + "loss": 0.846, + "step": 33625 + }, + { + "epoch": 0.79, + "grad_norm": 1.9519117897795237, + "learning_rate": 2.180461973002963e-06, + "loss": 0.8728, + "step": 33626 + }, + { + "epoch": 0.79, + "grad_norm": 1.7116527175637213, + "learning_rate": 2.179986364510217e-06, + "loss": 0.7703, + "step": 33627 + }, + { + "epoch": 0.79, + "grad_norm": 0.748853386194565, + "learning_rate": 2.1795108015480694e-06, + "loss": 0.6726, + "step": 33628 + }, + { + "epoch": 0.79, + "grad_norm": 1.7031144198009194, + "learning_rate": 2.1790352841192863e-06, + "loss": 0.868, + "step": 33629 + }, + { + "epoch": 0.79, + "grad_norm": 1.6124891749999548, + "learning_rate": 2.1785598122266327e-06, + "loss": 0.7062, + "step": 33630 + }, + { + "epoch": 0.79, + "grad_norm": 1.4148264248675584, + "learning_rate": 2.178084385872882e-06, + "loss": 0.754, + "step": 33631 + }, + { + "epoch": 0.79, + "grad_norm": 1.7117479949357588, + "learning_rate": 2.177609005060799e-06, + "loss": 0.8106, + "step": 33632 + }, + { + "epoch": 0.79, + "grad_norm": 1.6526505153139914, + "learning_rate": 2.1771336697931544e-06, + "loss": 0.8178, + "step": 33633 + }, + { + "epoch": 0.79, + "grad_norm": 1.7023050975260179, + "learning_rate": 2.1766583800727128e-06, + "loss": 0.7919, + "step": 33634 + }, + { + "epoch": 0.79, + "grad_norm": 1.5463423004371788, + "learning_rate": 2.1761831359022446e-06, + "loss": 0.8269, + "step": 33635 + }, + { + "epoch": 0.79, + "grad_norm": 0.7585545522324354, + "learning_rate": 2.1757079372845125e-06, + "loss": 0.6868, + "step": 33636 + }, + { + "epoch": 0.79, + "grad_norm": 1.4787908184430703, + "learning_rate": 2.175232784222289e-06, + "loss": 0.7756, + "step": 33637 + }, + { + "epoch": 0.79, + "grad_norm": 1.82374163631227, + "learning_rate": 2.1747576767183374e-06, + "loss": 0.7938, + "step": 33638 + }, + { + "epoch": 0.79, + "grad_norm": 1.8213186320922745, + "learning_rate": 2.1742826147754213e-06, + "loss": 0.6933, + "step": 33639 + }, + { + "epoch": 0.79, + "grad_norm": 2.250887846465551, + "learning_rate": 2.173807598396309e-06, + "loss": 0.7746, + "step": 33640 + }, + { + "epoch": 0.79, + "grad_norm": 1.6034013980133457, + "learning_rate": 2.1733326275837708e-06, + "loss": 0.7751, + "step": 33641 + }, + { + "epoch": 0.79, + "grad_norm": 1.7286101888359624, + "learning_rate": 2.172857702340566e-06, + "loss": 0.864, + "step": 33642 + }, + { + "epoch": 0.79, + "grad_norm": 1.7113822862782069, + "learning_rate": 2.17238282266946e-06, + "loss": 0.9226, + "step": 33643 + }, + { + "epoch": 0.79, + "grad_norm": 1.609441134786767, + "learning_rate": 2.17190798857322e-06, + "loss": 0.7904, + "step": 33644 + }, + { + "epoch": 0.79, + "grad_norm": 1.6762450813262673, + "learning_rate": 2.1714332000546114e-06, + "loss": 0.7145, + "step": 33645 + }, + { + "epoch": 0.79, + "grad_norm": 2.1709752420216635, + "learning_rate": 2.1709584571163976e-06, + "loss": 0.7573, + "step": 33646 + }, + { + "epoch": 0.79, + "grad_norm": 1.534091769002438, + "learning_rate": 2.1704837597613406e-06, + "loss": 0.9101, + "step": 33647 + }, + { + "epoch": 0.79, + "grad_norm": 1.8667063298527753, + "learning_rate": 2.1700091079922047e-06, + "loss": 0.939, + "step": 33648 + }, + { + "epoch": 0.79, + "grad_norm": 1.5437129566382903, + "learning_rate": 2.1695345018117577e-06, + "loss": 0.8965, + "step": 33649 + }, + { + "epoch": 0.79, + "grad_norm": 1.7156386125204546, + "learning_rate": 2.16905994122276e-06, + "loss": 0.8787, + "step": 33650 + }, + { + "epoch": 0.79, + "grad_norm": 1.7141601006869114, + "learning_rate": 2.1685854262279714e-06, + "loss": 0.8958, + "step": 33651 + }, + { + "epoch": 0.79, + "grad_norm": 1.9347520248829024, + "learning_rate": 2.1681109568301617e-06, + "loss": 0.6468, + "step": 33652 + }, + { + "epoch": 0.79, + "grad_norm": 1.701876779861756, + "learning_rate": 2.1676365330320857e-06, + "loss": 0.8383, + "step": 33653 + }, + { + "epoch": 0.79, + "grad_norm": 0.7563230315696415, + "learning_rate": 2.167162154836513e-06, + "loss": 0.6998, + "step": 33654 + }, + { + "epoch": 0.79, + "grad_norm": 2.5060951240085965, + "learning_rate": 2.1666878222461986e-06, + "loss": 0.7921, + "step": 33655 + }, + { + "epoch": 0.79, + "grad_norm": 1.572727403148007, + "learning_rate": 2.1662135352639115e-06, + "loss": 0.8935, + "step": 33656 + }, + { + "epoch": 0.79, + "grad_norm": 1.4688862889111367, + "learning_rate": 2.1657392938924047e-06, + "loss": 0.8667, + "step": 33657 + }, + { + "epoch": 0.79, + "grad_norm": 1.957672453652838, + "learning_rate": 2.165265098134448e-06, + "loss": 0.7377, + "step": 33658 + }, + { + "epoch": 0.79, + "grad_norm": 1.5451990750831541, + "learning_rate": 2.1647909479927987e-06, + "loss": 0.8503, + "step": 33659 + }, + { + "epoch": 0.79, + "grad_norm": 1.7787403025975073, + "learning_rate": 2.1643168434702142e-06, + "loss": 0.8882, + "step": 33660 + }, + { + "epoch": 0.79, + "grad_norm": 0.767011305943306, + "learning_rate": 2.1638427845694574e-06, + "loss": 0.6749, + "step": 33661 + }, + { + "epoch": 0.79, + "grad_norm": 1.4834107082955297, + "learning_rate": 2.1633687712932917e-06, + "loss": 0.7392, + "step": 33662 + }, + { + "epoch": 0.79, + "grad_norm": 0.7807714021708783, + "learning_rate": 2.1628948036444743e-06, + "loss": 0.6852, + "step": 33663 + }, + { + "epoch": 0.79, + "grad_norm": 1.4594945027741382, + "learning_rate": 2.162420881625761e-06, + "loss": 0.7671, + "step": 33664 + }, + { + "epoch": 0.79, + "grad_norm": 1.4909935712713664, + "learning_rate": 2.161947005239915e-06, + "loss": 0.815, + "step": 33665 + }, + { + "epoch": 0.79, + "grad_norm": 1.5062315133877264, + "learning_rate": 2.1614731744896976e-06, + "loss": 0.7327, + "step": 33666 + }, + { + "epoch": 0.79, + "grad_norm": 1.487016596827307, + "learning_rate": 2.160999389377866e-06, + "loss": 0.8245, + "step": 33667 + }, + { + "epoch": 0.79, + "grad_norm": 1.6910862935102111, + "learning_rate": 2.160525649907175e-06, + "loss": 0.8278, + "step": 33668 + }, + { + "epoch": 0.79, + "grad_norm": 1.6824106297310635, + "learning_rate": 2.1600519560803844e-06, + "loss": 1.0382, + "step": 33669 + }, + { + "epoch": 0.79, + "grad_norm": 1.7486290191119571, + "learning_rate": 2.1595783079002565e-06, + "loss": 0.8159, + "step": 33670 + }, + { + "epoch": 0.79, + "grad_norm": 1.5995571286742445, + "learning_rate": 2.159104705369546e-06, + "loss": 0.9068, + "step": 33671 + }, + { + "epoch": 0.79, + "grad_norm": 1.5757719677822588, + "learning_rate": 2.158631148491007e-06, + "loss": 0.9212, + "step": 33672 + }, + { + "epoch": 0.79, + "grad_norm": 4.499896858173607, + "learning_rate": 2.158157637267404e-06, + "loss": 0.8157, + "step": 33673 + }, + { + "epoch": 0.79, + "grad_norm": 1.5937499372909454, + "learning_rate": 2.1576841717014864e-06, + "loss": 0.8148, + "step": 33674 + }, + { + "epoch": 0.79, + "grad_norm": 1.6816335532505484, + "learning_rate": 2.1572107517960174e-06, + "loss": 0.8319, + "step": 33675 + }, + { + "epoch": 0.79, + "grad_norm": 1.4613158050687027, + "learning_rate": 2.156737377553748e-06, + "loss": 0.7554, + "step": 33676 + }, + { + "epoch": 0.79, + "grad_norm": 1.5589321397184128, + "learning_rate": 2.1562640489774388e-06, + "loss": 0.8526, + "step": 33677 + }, + { + "epoch": 0.79, + "grad_norm": 1.4796119203604905, + "learning_rate": 2.1557907660698408e-06, + "loss": 0.871, + "step": 33678 + }, + { + "epoch": 0.79, + "grad_norm": 1.567736964846587, + "learning_rate": 2.155317528833716e-06, + "loss": 0.9314, + "step": 33679 + }, + { + "epoch": 0.79, + "grad_norm": 1.4646658527712304, + "learning_rate": 2.1548443372718153e-06, + "loss": 0.8234, + "step": 33680 + }, + { + "epoch": 0.79, + "grad_norm": 1.4943908484219364, + "learning_rate": 2.1543711913868915e-06, + "loss": 0.824, + "step": 33681 + }, + { + "epoch": 0.79, + "grad_norm": 1.4707789553116457, + "learning_rate": 2.153898091181703e-06, + "loss": 0.8213, + "step": 33682 + }, + { + "epoch": 0.79, + "grad_norm": 1.5376690226477214, + "learning_rate": 2.153425036659007e-06, + "loss": 0.7695, + "step": 33683 + }, + { + "epoch": 0.79, + "grad_norm": 1.6314819766290067, + "learning_rate": 2.1529520278215543e-06, + "loss": 0.7572, + "step": 33684 + }, + { + "epoch": 0.79, + "grad_norm": 1.5690195084179157, + "learning_rate": 2.152479064672096e-06, + "loss": 0.834, + "step": 33685 + }, + { + "epoch": 0.79, + "grad_norm": 1.4596826474901698, + "learning_rate": 2.1520061472133903e-06, + "loss": 0.7803, + "step": 33686 + }, + { + "epoch": 0.79, + "grad_norm": 1.703115221187424, + "learning_rate": 2.151533275448191e-06, + "loss": 0.8448, + "step": 33687 + }, + { + "epoch": 0.79, + "grad_norm": 1.5522566235994524, + "learning_rate": 2.151060449379251e-06, + "loss": 0.8698, + "step": 33688 + }, + { + "epoch": 0.79, + "grad_norm": 1.6972163119686217, + "learning_rate": 2.1505876690093176e-06, + "loss": 0.8683, + "step": 33689 + }, + { + "epoch": 0.79, + "grad_norm": 2.0384997377380785, + "learning_rate": 2.1501149343411486e-06, + "loss": 0.8374, + "step": 33690 + }, + { + "epoch": 0.79, + "grad_norm": 1.4744379886209313, + "learning_rate": 2.149642245377499e-06, + "loss": 0.8513, + "step": 33691 + }, + { + "epoch": 0.79, + "grad_norm": 1.3785940659803788, + "learning_rate": 2.1491696021211174e-06, + "loss": 0.8203, + "step": 33692 + }, + { + "epoch": 0.79, + "grad_norm": 1.6864032754152085, + "learning_rate": 2.1486970045747525e-06, + "loss": 0.7602, + "step": 33693 + }, + { + "epoch": 0.79, + "grad_norm": 1.5822157383382116, + "learning_rate": 2.148224452741162e-06, + "loss": 0.79, + "step": 33694 + }, + { + "epoch": 0.79, + "grad_norm": 1.570720138709063, + "learning_rate": 2.1477519466230935e-06, + "loss": 0.8359, + "step": 33695 + }, + { + "epoch": 0.79, + "grad_norm": 1.4857785025466512, + "learning_rate": 2.147279486223297e-06, + "loss": 1.0153, + "step": 33696 + }, + { + "epoch": 0.79, + "grad_norm": 0.731385194686662, + "learning_rate": 2.14680707154453e-06, + "loss": 0.7007, + "step": 33697 + }, + { + "epoch": 0.79, + "grad_norm": 1.4236443012804059, + "learning_rate": 2.1463347025895375e-06, + "loss": 0.9575, + "step": 33698 + }, + { + "epoch": 0.79, + "grad_norm": 1.6268130341898062, + "learning_rate": 2.1458623793610678e-06, + "loss": 0.9655, + "step": 33699 + }, + { + "epoch": 0.79, + "grad_norm": 1.3186587710299136, + "learning_rate": 2.145390101861875e-06, + "loss": 0.7952, + "step": 33700 + }, + { + "epoch": 0.79, + "grad_norm": 1.5780390901252013, + "learning_rate": 2.1449178700947125e-06, + "loss": 0.8345, + "step": 33701 + }, + { + "epoch": 0.79, + "grad_norm": 1.578010049657664, + "learning_rate": 2.1444456840623195e-06, + "loss": 0.8262, + "step": 33702 + }, + { + "epoch": 0.79, + "grad_norm": 1.855408041346746, + "learning_rate": 2.1439735437674504e-06, + "loss": 0.7768, + "step": 33703 + }, + { + "epoch": 0.79, + "grad_norm": 1.6909432130993782, + "learning_rate": 2.1435014492128547e-06, + "loss": 0.823, + "step": 33704 + }, + { + "epoch": 0.79, + "grad_norm": 1.341964821767395, + "learning_rate": 2.1430294004012874e-06, + "loss": 0.6786, + "step": 33705 + }, + { + "epoch": 0.79, + "grad_norm": 1.4900303787490807, + "learning_rate": 2.142557397335484e-06, + "loss": 0.8675, + "step": 33706 + }, + { + "epoch": 0.79, + "grad_norm": 0.8786288347790946, + "learning_rate": 2.142085440018199e-06, + "loss": 0.7151, + "step": 33707 + }, + { + "epoch": 0.79, + "grad_norm": 1.9170626832254387, + "learning_rate": 2.1416135284521812e-06, + "loss": 0.7871, + "step": 33708 + }, + { + "epoch": 0.79, + "grad_norm": 2.065044117508884, + "learning_rate": 2.1411416626401793e-06, + "loss": 0.8832, + "step": 33709 + }, + { + "epoch": 0.79, + "grad_norm": 1.6195296332799902, + "learning_rate": 2.1406698425849383e-06, + "loss": 0.9243, + "step": 33710 + }, + { + "epoch": 0.79, + "grad_norm": 1.8818359763188004, + "learning_rate": 2.140198068289204e-06, + "loss": 0.7526, + "step": 33711 + }, + { + "epoch": 0.79, + "grad_norm": 1.5891550430481833, + "learning_rate": 2.1397263397557266e-06, + "loss": 0.8777, + "step": 33712 + }, + { + "epoch": 0.79, + "grad_norm": 1.4550438435047637, + "learning_rate": 2.1392546569872498e-06, + "loss": 0.9066, + "step": 33713 + }, + { + "epoch": 0.79, + "grad_norm": 1.6178695310159816, + "learning_rate": 2.1387830199865224e-06, + "loss": 0.8118, + "step": 33714 + }, + { + "epoch": 0.79, + "grad_norm": 1.8472857517296537, + "learning_rate": 2.138311428756287e-06, + "loss": 1.0183, + "step": 33715 + }, + { + "epoch": 0.79, + "grad_norm": 1.9480173395009244, + "learning_rate": 2.137839883299294e-06, + "loss": 0.9202, + "step": 33716 + }, + { + "epoch": 0.79, + "grad_norm": 1.7258842200473343, + "learning_rate": 2.1373683836182835e-06, + "loss": 0.8964, + "step": 33717 + }, + { + "epoch": 0.79, + "grad_norm": 1.7777541426271235, + "learning_rate": 2.136896929716006e-06, + "loss": 0.7106, + "step": 33718 + }, + { + "epoch": 0.79, + "grad_norm": 1.4994127186301105, + "learning_rate": 2.1364255215952047e-06, + "loss": 0.8305, + "step": 33719 + }, + { + "epoch": 0.79, + "grad_norm": 1.434779485066591, + "learning_rate": 2.1359541592586197e-06, + "loss": 0.8494, + "step": 33720 + }, + { + "epoch": 0.79, + "grad_norm": 1.560983147450561, + "learning_rate": 2.1354828427090004e-06, + "loss": 0.8779, + "step": 33721 + }, + { + "epoch": 0.79, + "grad_norm": 1.6799591163311542, + "learning_rate": 2.135011571949093e-06, + "loss": 0.9472, + "step": 33722 + }, + { + "epoch": 0.79, + "grad_norm": 1.6281044451241247, + "learning_rate": 2.134540346981637e-06, + "loss": 0.9299, + "step": 33723 + }, + { + "epoch": 0.79, + "grad_norm": 1.5919661763909054, + "learning_rate": 2.134069167809375e-06, + "loss": 0.8581, + "step": 33724 + }, + { + "epoch": 0.79, + "grad_norm": 1.5019897944692187, + "learning_rate": 2.1335980344350527e-06, + "loss": 0.8944, + "step": 33725 + }, + { + "epoch": 0.79, + "grad_norm": 1.576876386409334, + "learning_rate": 2.1331269468614156e-06, + "loss": 0.774, + "step": 33726 + }, + { + "epoch": 0.79, + "grad_norm": 2.43157164691752, + "learning_rate": 2.1326559050912042e-06, + "loss": 0.7314, + "step": 33727 + }, + { + "epoch": 0.79, + "grad_norm": 1.5045485571084913, + "learning_rate": 2.1321849091271573e-06, + "loss": 0.8166, + "step": 33728 + }, + { + "epoch": 0.79, + "grad_norm": 1.916269513575731, + "learning_rate": 2.1317139589720227e-06, + "loss": 0.8345, + "step": 33729 + }, + { + "epoch": 0.79, + "grad_norm": 2.073827910455265, + "learning_rate": 2.1312430546285414e-06, + "loss": 0.8028, + "step": 33730 + }, + { + "epoch": 0.79, + "grad_norm": 1.8401260365696022, + "learning_rate": 2.1307721960994556e-06, + "loss": 0.8861, + "step": 33731 + }, + { + "epoch": 0.79, + "grad_norm": 1.6742115783359797, + "learning_rate": 2.130301383387502e-06, + "loss": 0.8124, + "step": 33732 + }, + { + "epoch": 0.79, + "grad_norm": 1.4756025292727941, + "learning_rate": 2.1298306164954275e-06, + "loss": 0.7359, + "step": 33733 + }, + { + "epoch": 0.79, + "grad_norm": 1.6744939158989045, + "learning_rate": 2.129359895425969e-06, + "loss": 0.7848, + "step": 33734 + }, + { + "epoch": 0.79, + "grad_norm": 1.4437260968833219, + "learning_rate": 2.128889220181871e-06, + "loss": 0.8216, + "step": 33735 + }, + { + "epoch": 0.79, + "grad_norm": 1.5360115091701951, + "learning_rate": 2.1284185907658695e-06, + "loss": 0.7933, + "step": 33736 + }, + { + "epoch": 0.79, + "grad_norm": 2.147498838550252, + "learning_rate": 2.12794800718071e-06, + "loss": 0.845, + "step": 33737 + }, + { + "epoch": 0.79, + "grad_norm": 1.9611532805700307, + "learning_rate": 2.1274774694291267e-06, + "loss": 0.8665, + "step": 33738 + }, + { + "epoch": 0.79, + "grad_norm": 1.6438963621198797, + "learning_rate": 2.1270069775138647e-06, + "loss": 0.8827, + "step": 33739 + }, + { + "epoch": 0.79, + "grad_norm": 1.7724238276209197, + "learning_rate": 2.1265365314376598e-06, + "loss": 0.887, + "step": 33740 + }, + { + "epoch": 0.79, + "grad_norm": 2.837872904961689, + "learning_rate": 2.1260661312032506e-06, + "loss": 0.9389, + "step": 33741 + }, + { + "epoch": 0.79, + "grad_norm": 1.5450760627321938, + "learning_rate": 2.125595776813376e-06, + "loss": 0.8301, + "step": 33742 + }, + { + "epoch": 0.79, + "grad_norm": 1.5259568329558184, + "learning_rate": 2.125125468270779e-06, + "loss": 0.8279, + "step": 33743 + }, + { + "epoch": 0.79, + "grad_norm": 1.6704047644863238, + "learning_rate": 2.124655205578194e-06, + "loss": 0.8562, + "step": 33744 + }, + { + "epoch": 0.8, + "grad_norm": 1.6718846399790266, + "learning_rate": 2.1241849887383583e-06, + "loss": 0.8198, + "step": 33745 + }, + { + "epoch": 0.8, + "grad_norm": 1.6675625701459695, + "learning_rate": 2.12371481775401e-06, + "loss": 0.8484, + "step": 33746 + }, + { + "epoch": 0.8, + "grad_norm": 2.057876572262276, + "learning_rate": 2.1232446926278905e-06, + "loss": 0.7107, + "step": 33747 + }, + { + "epoch": 0.8, + "grad_norm": 1.511359772770021, + "learning_rate": 2.1227746133627346e-06, + "loss": 0.8827, + "step": 33748 + }, + { + "epoch": 0.8, + "grad_norm": 1.6328946648248948, + "learning_rate": 2.1223045799612763e-06, + "loss": 0.8567, + "step": 33749 + }, + { + "epoch": 0.8, + "grad_norm": 1.5220273712404215, + "learning_rate": 2.121834592426254e-06, + "loss": 0.7157, + "step": 33750 + }, + { + "epoch": 0.8, + "grad_norm": 1.704803107062752, + "learning_rate": 2.121364650760408e-06, + "loss": 0.8098, + "step": 33751 + }, + { + "epoch": 0.8, + "grad_norm": 0.7756132210702711, + "learning_rate": 2.1208947549664706e-06, + "loss": 0.715, + "step": 33752 + }, + { + "epoch": 0.8, + "grad_norm": 1.5139652767888512, + "learning_rate": 2.120424905047176e-06, + "loss": 0.8441, + "step": 33753 + }, + { + "epoch": 0.8, + "grad_norm": 1.658917413402619, + "learning_rate": 2.1199551010052653e-06, + "loss": 0.7243, + "step": 33754 + }, + { + "epoch": 0.8, + "grad_norm": 1.5857045718362675, + "learning_rate": 2.119485342843468e-06, + "loss": 0.8509, + "step": 33755 + }, + { + "epoch": 0.8, + "grad_norm": 1.6549564231717844, + "learning_rate": 2.1190156305645247e-06, + "loss": 0.8463, + "step": 33756 + }, + { + "epoch": 0.8, + "grad_norm": 1.5190409542036354, + "learning_rate": 2.1185459641711646e-06, + "loss": 0.8688, + "step": 33757 + }, + { + "epoch": 0.8, + "grad_norm": 1.779630662301675, + "learning_rate": 2.118076343666129e-06, + "loss": 0.905, + "step": 33758 + }, + { + "epoch": 0.8, + "grad_norm": 1.7356747317690218, + "learning_rate": 2.117606769052144e-06, + "loss": 0.8057, + "step": 33759 + }, + { + "epoch": 0.8, + "grad_norm": 1.7162500749809213, + "learning_rate": 2.1171372403319514e-06, + "loss": 0.8855, + "step": 33760 + }, + { + "epoch": 0.8, + "grad_norm": 1.6486343123748946, + "learning_rate": 2.116667757508282e-06, + "loss": 0.9309, + "step": 33761 + }, + { + "epoch": 0.8, + "grad_norm": 1.5034830093098144, + "learning_rate": 2.1161983205838645e-06, + "loss": 0.8822, + "step": 33762 + }, + { + "epoch": 0.8, + "grad_norm": 1.99915299155344, + "learning_rate": 2.115728929561437e-06, + "loss": 0.885, + "step": 33763 + }, + { + "epoch": 0.8, + "grad_norm": 1.5850215135565082, + "learning_rate": 2.115259584443735e-06, + "loss": 0.83, + "step": 33764 + }, + { + "epoch": 0.8, + "grad_norm": 1.8035316820486658, + "learning_rate": 2.114790285233488e-06, + "loss": 0.6461, + "step": 33765 + }, + { + "epoch": 0.8, + "grad_norm": 1.9008650201696453, + "learning_rate": 2.114321031933425e-06, + "loss": 0.771, + "step": 33766 + }, + { + "epoch": 0.8, + "grad_norm": 1.599116040724131, + "learning_rate": 2.1138518245462816e-06, + "loss": 0.7737, + "step": 33767 + }, + { + "epoch": 0.8, + "grad_norm": 1.717350919098574, + "learning_rate": 2.113382663074792e-06, + "loss": 0.852, + "step": 33768 + }, + { + "epoch": 0.8, + "grad_norm": 1.6529121334261838, + "learning_rate": 2.1129135475216866e-06, + "loss": 0.7391, + "step": 33769 + }, + { + "epoch": 0.8, + "grad_norm": 1.5627194197266348, + "learning_rate": 2.1124444778896914e-06, + "loss": 0.7416, + "step": 33770 + }, + { + "epoch": 0.8, + "grad_norm": 1.5419351474045964, + "learning_rate": 2.111975454181543e-06, + "loss": 0.8937, + "step": 33771 + }, + { + "epoch": 0.8, + "grad_norm": 0.8229809159045126, + "learning_rate": 2.1115064763999726e-06, + "loss": 0.6949, + "step": 33772 + }, + { + "epoch": 0.8, + "grad_norm": 1.7394283464150742, + "learning_rate": 2.1110375445477093e-06, + "loss": 0.8957, + "step": 33773 + }, + { + "epoch": 0.8, + "grad_norm": 1.6286965595660987, + "learning_rate": 2.1105686586274797e-06, + "loss": 0.8905, + "step": 33774 + }, + { + "epoch": 0.8, + "grad_norm": 1.6800539074860026, + "learning_rate": 2.110099818642021e-06, + "loss": 0.7751, + "step": 33775 + }, + { + "epoch": 0.8, + "grad_norm": 1.8341770008435812, + "learning_rate": 2.1096310245940555e-06, + "loss": 0.8483, + "step": 33776 + }, + { + "epoch": 0.8, + "grad_norm": 1.6294947161295381, + "learning_rate": 2.1091622764863185e-06, + "loss": 0.8593, + "step": 33777 + }, + { + "epoch": 0.8, + "grad_norm": 1.5606030172760448, + "learning_rate": 2.1086935743215354e-06, + "loss": 0.8545, + "step": 33778 + }, + { + "epoch": 0.8, + "grad_norm": 1.7971555515603304, + "learning_rate": 2.1082249181024384e-06, + "loss": 0.8117, + "step": 33779 + }, + { + "epoch": 0.8, + "grad_norm": 1.4925086610212819, + "learning_rate": 2.107756307831752e-06, + "loss": 0.743, + "step": 33780 + }, + { + "epoch": 0.8, + "grad_norm": 0.7874745888364432, + "learning_rate": 2.1072877435122095e-06, + "loss": 0.7087, + "step": 33781 + }, + { + "epoch": 0.8, + "grad_norm": 1.4503230290334703, + "learning_rate": 2.106819225146538e-06, + "loss": 0.7844, + "step": 33782 + }, + { + "epoch": 0.8, + "grad_norm": 1.657696739692737, + "learning_rate": 2.1063507527374594e-06, + "loss": 0.8691, + "step": 33783 + }, + { + "epoch": 0.8, + "grad_norm": 1.8310675049968965, + "learning_rate": 2.105882326287707e-06, + "loss": 0.9102, + "step": 33784 + }, + { + "epoch": 0.8, + "grad_norm": 1.43083915589012, + "learning_rate": 2.105413945800007e-06, + "loss": 0.8382, + "step": 33785 + }, + { + "epoch": 0.8, + "grad_norm": 0.7955314450159897, + "learning_rate": 2.1049456112770907e-06, + "loss": 0.6872, + "step": 33786 + }, + { + "epoch": 0.8, + "grad_norm": 1.923944390330958, + "learning_rate": 2.104477322721675e-06, + "loss": 0.8175, + "step": 33787 + }, + { + "epoch": 0.8, + "grad_norm": 1.6702172710690684, + "learning_rate": 2.104009080136493e-06, + "loss": 0.7806, + "step": 33788 + }, + { + "epoch": 0.8, + "grad_norm": 0.7803411991268083, + "learning_rate": 2.103540883524272e-06, + "loss": 0.6833, + "step": 33789 + }, + { + "epoch": 0.8, + "grad_norm": 1.5537415350239518, + "learning_rate": 2.1030727328877367e-06, + "loss": 0.809, + "step": 33790 + }, + { + "epoch": 0.8, + "grad_norm": 1.712520443621245, + "learning_rate": 2.1026046282296085e-06, + "loss": 0.8234, + "step": 33791 + }, + { + "epoch": 0.8, + "grad_norm": 1.9823568366185975, + "learning_rate": 2.1021365695526176e-06, + "loss": 0.8395, + "step": 33792 + }, + { + "epoch": 0.8, + "grad_norm": 1.94532465893551, + "learning_rate": 2.10166855685949e-06, + "loss": 0.9295, + "step": 33793 + }, + { + "epoch": 0.8, + "grad_norm": 2.068159907612467, + "learning_rate": 2.1012005901529463e-06, + "loss": 0.8687, + "step": 33794 + }, + { + "epoch": 0.8, + "grad_norm": 1.9349290742978034, + "learning_rate": 2.1007326694357153e-06, + "loss": 0.7056, + "step": 33795 + }, + { + "epoch": 0.8, + "grad_norm": 0.783606766351841, + "learning_rate": 2.1002647947105205e-06, + "loss": 0.7049, + "step": 33796 + }, + { + "epoch": 0.8, + "grad_norm": 1.4799714591786608, + "learning_rate": 2.099796965980082e-06, + "loss": 0.7794, + "step": 33797 + }, + { + "epoch": 0.8, + "grad_norm": 1.631827497232184, + "learning_rate": 2.099329183247126e-06, + "loss": 0.7504, + "step": 33798 + }, + { + "epoch": 0.8, + "grad_norm": 1.388811870870678, + "learning_rate": 2.0988614465143807e-06, + "loss": 0.7848, + "step": 33799 + }, + { + "epoch": 0.8, + "grad_norm": 1.597658420922832, + "learning_rate": 2.0983937557845647e-06, + "loss": 0.8917, + "step": 33800 + }, + { + "epoch": 0.8, + "grad_norm": 0.7689823727349491, + "learning_rate": 2.0979261110604e-06, + "loss": 0.7368, + "step": 33801 + }, + { + "epoch": 0.8, + "grad_norm": 1.7906731351480976, + "learning_rate": 2.09745851234461e-06, + "loss": 0.8739, + "step": 33802 + }, + { + "epoch": 0.8, + "grad_norm": 1.8872050436460974, + "learning_rate": 2.0969909596399253e-06, + "loss": 0.8417, + "step": 33803 + }, + { + "epoch": 0.8, + "grad_norm": 0.7759442784255619, + "learning_rate": 2.0965234529490552e-06, + "loss": 0.703, + "step": 33804 + }, + { + "epoch": 0.8, + "grad_norm": 1.5161091063468075, + "learning_rate": 2.096055992274727e-06, + "loss": 0.8543, + "step": 33805 + }, + { + "epoch": 0.8, + "grad_norm": 1.6239302254363437, + "learning_rate": 2.0955885776196637e-06, + "loss": 0.8774, + "step": 33806 + }, + { + "epoch": 0.8, + "grad_norm": 1.7812495208099624, + "learning_rate": 2.09512120898659e-06, + "loss": 0.8482, + "step": 33807 + }, + { + "epoch": 0.8, + "grad_norm": 1.6760364481053462, + "learning_rate": 2.0946538863782216e-06, + "loss": 0.8401, + "step": 33808 + }, + { + "epoch": 0.8, + "grad_norm": 2.035395698918301, + "learning_rate": 2.0941866097972797e-06, + "loss": 0.7564, + "step": 33809 + }, + { + "epoch": 0.8, + "grad_norm": 1.580831654437184, + "learning_rate": 2.0937193792464883e-06, + "loss": 0.7688, + "step": 33810 + }, + { + "epoch": 0.8, + "grad_norm": 1.6699575371935838, + "learning_rate": 2.0932521947285635e-06, + "loss": 0.9922, + "step": 33811 + }, + { + "epoch": 0.8, + "grad_norm": 1.5994700620348226, + "learning_rate": 2.092785056246229e-06, + "loss": 0.8262, + "step": 33812 + }, + { + "epoch": 0.8, + "grad_norm": 1.6622296027807633, + "learning_rate": 2.092317963802202e-06, + "loss": 0.7714, + "step": 33813 + }, + { + "epoch": 0.8, + "grad_norm": 1.5809541986988107, + "learning_rate": 2.091850917399206e-06, + "loss": 0.9405, + "step": 33814 + }, + { + "epoch": 0.8, + "grad_norm": 1.5419268266396495, + "learning_rate": 2.091383917039954e-06, + "loss": 0.7953, + "step": 33815 + }, + { + "epoch": 0.8, + "grad_norm": 0.7456182371695338, + "learning_rate": 2.090916962727172e-06, + "loss": 0.6864, + "step": 33816 + }, + { + "epoch": 0.8, + "grad_norm": 1.5782136919116834, + "learning_rate": 2.0904500544635752e-06, + "loss": 0.9182, + "step": 33817 + }, + { + "epoch": 0.8, + "grad_norm": 1.6265393240696209, + "learning_rate": 2.08998319225188e-06, + "loss": 0.7491, + "step": 33818 + }, + { + "epoch": 0.8, + "grad_norm": 4.027462153883574, + "learning_rate": 2.089516376094807e-06, + "loss": 0.8019, + "step": 33819 + }, + { + "epoch": 0.8, + "grad_norm": 1.7562410075928534, + "learning_rate": 2.089049605995076e-06, + "loss": 0.8451, + "step": 33820 + }, + { + "epoch": 0.8, + "grad_norm": 1.5999096253785352, + "learning_rate": 2.0885828819554035e-06, + "loss": 0.8241, + "step": 33821 + }, + { + "epoch": 0.8, + "grad_norm": 1.5964872836704722, + "learning_rate": 2.088116203978503e-06, + "loss": 0.9172, + "step": 33822 + }, + { + "epoch": 0.8, + "grad_norm": 1.6915345711278398, + "learning_rate": 2.087649572067095e-06, + "loss": 0.7567, + "step": 33823 + }, + { + "epoch": 0.8, + "grad_norm": 1.4980211913559884, + "learning_rate": 2.087182986223899e-06, + "loss": 0.7842, + "step": 33824 + }, + { + "epoch": 0.8, + "grad_norm": 1.8147802065958774, + "learning_rate": 2.0867164464516287e-06, + "loss": 0.7879, + "step": 33825 + }, + { + "epoch": 0.8, + "grad_norm": 2.3760957321268834, + "learning_rate": 2.086249952752998e-06, + "loss": 0.7978, + "step": 33826 + }, + { + "epoch": 0.8, + "grad_norm": 1.5152761754450816, + "learning_rate": 2.0857835051307253e-06, + "loss": 0.7536, + "step": 33827 + }, + { + "epoch": 0.8, + "grad_norm": 1.849314428833928, + "learning_rate": 2.0853171035875296e-06, + "loss": 0.8481, + "step": 33828 + }, + { + "epoch": 0.8, + "grad_norm": 1.7773761262604117, + "learning_rate": 2.084850748126124e-06, + "loss": 0.661, + "step": 33829 + }, + { + "epoch": 0.8, + "grad_norm": 2.5653971657563024, + "learning_rate": 2.0843844387492197e-06, + "loss": 0.8792, + "step": 33830 + }, + { + "epoch": 0.8, + "grad_norm": 1.7582073905235616, + "learning_rate": 2.083918175459535e-06, + "loss": 0.9275, + "step": 33831 + }, + { + "epoch": 0.8, + "grad_norm": 1.982146535682623, + "learning_rate": 2.083451958259788e-06, + "loss": 0.7651, + "step": 33832 + }, + { + "epoch": 0.8, + "grad_norm": 1.6162808092902206, + "learning_rate": 2.0829857871526904e-06, + "loss": 0.7635, + "step": 33833 + }, + { + "epoch": 0.8, + "grad_norm": 0.7393998444800438, + "learning_rate": 2.0825196621409526e-06, + "loss": 0.6778, + "step": 33834 + }, + { + "epoch": 0.8, + "grad_norm": 1.7687835865469785, + "learning_rate": 2.0820535832272947e-06, + "loss": 0.7552, + "step": 33835 + }, + { + "epoch": 0.8, + "grad_norm": 0.727054632664574, + "learning_rate": 2.0815875504144257e-06, + "loss": 0.7079, + "step": 33836 + }, + { + "epoch": 0.8, + "grad_norm": 2.088627792667368, + "learning_rate": 2.081121563705063e-06, + "loss": 0.8283, + "step": 33837 + }, + { + "epoch": 0.8, + "grad_norm": 1.7994782872858892, + "learning_rate": 2.080655623101915e-06, + "loss": 0.936, + "step": 33838 + }, + { + "epoch": 0.8, + "grad_norm": 1.6876111002456868, + "learning_rate": 2.0801897286077e-06, + "loss": 0.893, + "step": 33839 + }, + { + "epoch": 0.8, + "grad_norm": 1.8301046329241841, + "learning_rate": 2.0797238802251252e-06, + "loss": 0.8082, + "step": 33840 + }, + { + "epoch": 0.8, + "grad_norm": 1.4247617007293376, + "learning_rate": 2.079258077956907e-06, + "loss": 0.9338, + "step": 33841 + }, + { + "epoch": 0.8, + "grad_norm": 1.5866873266659836, + "learning_rate": 2.078792321805757e-06, + "loss": 0.8355, + "step": 33842 + }, + { + "epoch": 0.8, + "grad_norm": 1.648503938701592, + "learning_rate": 2.078326611774384e-06, + "loss": 0.8182, + "step": 33843 + }, + { + "epoch": 0.8, + "grad_norm": 1.558716199085991, + "learning_rate": 2.0778609478655e-06, + "loss": 0.7399, + "step": 33844 + }, + { + "epoch": 0.8, + "grad_norm": 0.8157247092624371, + "learning_rate": 2.0773953300818204e-06, + "loss": 0.7366, + "step": 33845 + }, + { + "epoch": 0.8, + "grad_norm": 2.406393210762271, + "learning_rate": 2.076929758426055e-06, + "loss": 0.914, + "step": 33846 + }, + { + "epoch": 0.8, + "grad_norm": 0.7489236395430076, + "learning_rate": 2.0764642329009087e-06, + "loss": 0.7482, + "step": 33847 + }, + { + "epoch": 0.8, + "grad_norm": 1.749358512434171, + "learning_rate": 2.0759987535090966e-06, + "loss": 0.8392, + "step": 33848 + }, + { + "epoch": 0.8, + "grad_norm": 1.8356243321093364, + "learning_rate": 2.075533320253331e-06, + "loss": 0.9551, + "step": 33849 + }, + { + "epoch": 0.8, + "grad_norm": 1.5277662532416245, + "learning_rate": 2.07506793313632e-06, + "loss": 0.822, + "step": 33850 + }, + { + "epoch": 0.8, + "grad_norm": 1.511779664835189, + "learning_rate": 2.0746025921607695e-06, + "loss": 0.894, + "step": 33851 + }, + { + "epoch": 0.8, + "grad_norm": 1.758552564741132, + "learning_rate": 2.0741372973293915e-06, + "loss": 0.9601, + "step": 33852 + }, + { + "epoch": 0.8, + "grad_norm": 1.5959816783881784, + "learning_rate": 2.073672048644898e-06, + "loss": 0.7961, + "step": 33853 + }, + { + "epoch": 0.8, + "grad_norm": 1.4834525555486862, + "learning_rate": 2.0732068461099952e-06, + "loss": 0.8044, + "step": 33854 + }, + { + "epoch": 0.8, + "grad_norm": 1.984066082832385, + "learning_rate": 2.07274168972739e-06, + "loss": 0.8026, + "step": 33855 + }, + { + "epoch": 0.8, + "grad_norm": 1.6002485718223594, + "learning_rate": 2.0722765794997947e-06, + "loss": 0.7684, + "step": 33856 + }, + { + "epoch": 0.8, + "grad_norm": 1.6012429602778278, + "learning_rate": 2.0718115154299113e-06, + "loss": 0.821, + "step": 33857 + }, + { + "epoch": 0.8, + "grad_norm": 1.8141614084322362, + "learning_rate": 2.0713464975204556e-06, + "loss": 0.8579, + "step": 33858 + }, + { + "epoch": 0.8, + "grad_norm": 1.618577335563039, + "learning_rate": 2.0708815257741264e-06, + "loss": 0.8543, + "step": 33859 + }, + { + "epoch": 0.8, + "grad_norm": 1.7143337145803343, + "learning_rate": 2.0704166001936387e-06, + "loss": 0.9039, + "step": 33860 + }, + { + "epoch": 0.8, + "grad_norm": 1.9475845365689366, + "learning_rate": 2.0699517207816944e-06, + "loss": 0.813, + "step": 33861 + }, + { + "epoch": 0.8, + "grad_norm": 3.259154121082319, + "learning_rate": 2.0694868875410036e-06, + "loss": 0.975, + "step": 33862 + }, + { + "epoch": 0.8, + "grad_norm": 1.6205459704055445, + "learning_rate": 2.0690221004742704e-06, + "loss": 0.7934, + "step": 33863 + }, + { + "epoch": 0.8, + "grad_norm": 1.5374357054597234, + "learning_rate": 2.068557359584199e-06, + "loss": 0.8621, + "step": 33864 + }, + { + "epoch": 0.8, + "grad_norm": 1.5495735442204117, + "learning_rate": 2.068092664873498e-06, + "loss": 0.9293, + "step": 33865 + }, + { + "epoch": 0.8, + "grad_norm": 0.7620688237471097, + "learning_rate": 2.067628016344875e-06, + "loss": 0.7032, + "step": 33866 + }, + { + "epoch": 0.8, + "grad_norm": 2.5205953193866244, + "learning_rate": 2.0671634140010333e-06, + "loss": 0.7428, + "step": 33867 + }, + { + "epoch": 0.8, + "grad_norm": 1.6655017833312666, + "learning_rate": 2.0666988578446757e-06, + "loss": 0.8613, + "step": 33868 + }, + { + "epoch": 0.8, + "grad_norm": 1.7496731307464402, + "learning_rate": 2.0662343478785074e-06, + "loss": 0.8684, + "step": 33869 + }, + { + "epoch": 0.8, + "grad_norm": 1.5382345026033828, + "learning_rate": 2.0657698841052386e-06, + "loss": 0.9147, + "step": 33870 + }, + { + "epoch": 0.8, + "grad_norm": 1.5627495593398824, + "learning_rate": 2.0653054665275686e-06, + "loss": 0.848, + "step": 33871 + }, + { + "epoch": 0.8, + "grad_norm": 1.6824583363043226, + "learning_rate": 2.0648410951482e-06, + "loss": 0.7631, + "step": 33872 + }, + { + "epoch": 0.8, + "grad_norm": 1.7599267498169744, + "learning_rate": 2.064376769969839e-06, + "loss": 0.9165, + "step": 33873 + }, + { + "epoch": 0.8, + "grad_norm": 0.7432118448562488, + "learning_rate": 2.0639124909951913e-06, + "loss": 0.7413, + "step": 33874 + }, + { + "epoch": 0.8, + "grad_norm": 1.7504463895070626, + "learning_rate": 2.0634482582269578e-06, + "loss": 0.9499, + "step": 33875 + }, + { + "epoch": 0.8, + "grad_norm": 1.7766201446924361, + "learning_rate": 2.0629840716678384e-06, + "loss": 0.8358, + "step": 33876 + }, + { + "epoch": 0.8, + "grad_norm": 1.425535257556808, + "learning_rate": 2.0625199313205403e-06, + "loss": 0.7103, + "step": 33877 + }, + { + "epoch": 0.8, + "grad_norm": 1.3889988925884575, + "learning_rate": 2.062055837187763e-06, + "loss": 0.8367, + "step": 33878 + }, + { + "epoch": 0.8, + "grad_norm": 1.529710975377098, + "learning_rate": 2.061591789272208e-06, + "loss": 0.8049, + "step": 33879 + }, + { + "epoch": 0.8, + "grad_norm": 1.9191741591385116, + "learning_rate": 2.0611277875765835e-06, + "loss": 0.7346, + "step": 33880 + }, + { + "epoch": 0.8, + "grad_norm": 1.552344511154427, + "learning_rate": 2.060663832103584e-06, + "loss": 0.9849, + "step": 33881 + }, + { + "epoch": 0.8, + "grad_norm": 2.1755615391289105, + "learning_rate": 2.0601999228559134e-06, + "loss": 0.8348, + "step": 33882 + }, + { + "epoch": 0.8, + "grad_norm": 1.6055920240059396, + "learning_rate": 2.0597360598362705e-06, + "loss": 0.8819, + "step": 33883 + }, + { + "epoch": 0.8, + "grad_norm": 1.6860610992093952, + "learning_rate": 2.0592722430473645e-06, + "loss": 0.7057, + "step": 33884 + }, + { + "epoch": 0.8, + "grad_norm": 1.6672639175243256, + "learning_rate": 2.0588084724918834e-06, + "loss": 0.8492, + "step": 33885 + }, + { + "epoch": 0.8, + "grad_norm": 0.7928572847466115, + "learning_rate": 2.058344748172534e-06, + "loss": 0.737, + "step": 33886 + }, + { + "epoch": 0.8, + "grad_norm": 1.82332079976638, + "learning_rate": 2.057881070092015e-06, + "loss": 0.818, + "step": 33887 + }, + { + "epoch": 0.8, + "grad_norm": 1.7109039236971226, + "learning_rate": 2.0574174382530332e-06, + "loss": 0.8748, + "step": 33888 + }, + { + "epoch": 0.8, + "grad_norm": 1.388265951529136, + "learning_rate": 2.0569538526582753e-06, + "loss": 0.7746, + "step": 33889 + }, + { + "epoch": 0.8, + "grad_norm": 1.4647033451860039, + "learning_rate": 2.0564903133104474e-06, + "loss": 0.7891, + "step": 33890 + }, + { + "epoch": 0.8, + "grad_norm": 0.7896804539053155, + "learning_rate": 2.0560268202122514e-06, + "loss": 0.6745, + "step": 33891 + }, + { + "epoch": 0.8, + "grad_norm": 1.7681809778913693, + "learning_rate": 2.055563373366378e-06, + "loss": 0.817, + "step": 33892 + }, + { + "epoch": 0.8, + "grad_norm": 0.738530300080714, + "learning_rate": 2.0550999727755327e-06, + "loss": 0.6706, + "step": 33893 + }, + { + "epoch": 0.8, + "grad_norm": 1.7180161116146417, + "learning_rate": 2.0546366184424094e-06, + "loss": 0.9012, + "step": 33894 + }, + { + "epoch": 0.8, + "grad_norm": 1.4511472641297463, + "learning_rate": 2.054173310369708e-06, + "loss": 0.8296, + "step": 33895 + }, + { + "epoch": 0.8, + "grad_norm": 1.577442674050949, + "learning_rate": 2.0537100485601238e-06, + "loss": 0.9, + "step": 33896 + }, + { + "epoch": 0.8, + "grad_norm": 11.712054909978274, + "learning_rate": 2.053246833016358e-06, + "loss": 0.8999, + "step": 33897 + }, + { + "epoch": 0.8, + "grad_norm": 1.605988924873107, + "learning_rate": 2.052783663741105e-06, + "loss": 0.7887, + "step": 33898 + }, + { + "epoch": 0.8, + "grad_norm": 1.4376071258821526, + "learning_rate": 2.052320540737058e-06, + "loss": 0.9279, + "step": 33899 + }, + { + "epoch": 0.8, + "grad_norm": 1.505341129135447, + "learning_rate": 2.0518574640069178e-06, + "loss": 0.7769, + "step": 33900 + }, + { + "epoch": 0.8, + "grad_norm": 0.8056119822878623, + "learning_rate": 2.051394433553382e-06, + "loss": 0.7316, + "step": 33901 + }, + { + "epoch": 0.8, + "grad_norm": 1.692262506411833, + "learning_rate": 2.0509314493791444e-06, + "loss": 0.9189, + "step": 33902 + }, + { + "epoch": 0.8, + "grad_norm": 2.0664203238171353, + "learning_rate": 2.050468511486898e-06, + "loss": 0.9109, + "step": 33903 + }, + { + "epoch": 0.8, + "grad_norm": 1.6924724689589195, + "learning_rate": 2.0500056198793405e-06, + "loss": 0.7763, + "step": 33904 + }, + { + "epoch": 0.8, + "grad_norm": 0.768634729397253, + "learning_rate": 2.04954277455917e-06, + "loss": 0.7297, + "step": 33905 + }, + { + "epoch": 0.8, + "grad_norm": 1.7093146339684677, + "learning_rate": 2.049079975529079e-06, + "loss": 0.8455, + "step": 33906 + }, + { + "epoch": 0.8, + "grad_norm": 1.6098322564351495, + "learning_rate": 2.0486172227917587e-06, + "loss": 0.7503, + "step": 33907 + }, + { + "epoch": 0.8, + "grad_norm": 1.4949540230089962, + "learning_rate": 2.0481545163499062e-06, + "loss": 0.8678, + "step": 33908 + }, + { + "epoch": 0.8, + "grad_norm": 1.6021996795587983, + "learning_rate": 2.0476918562062186e-06, + "loss": 0.775, + "step": 33909 + }, + { + "epoch": 0.8, + "grad_norm": 1.4454949025047426, + "learning_rate": 2.0472292423633857e-06, + "loss": 0.6978, + "step": 33910 + }, + { + "epoch": 0.8, + "grad_norm": 1.512220394698581, + "learning_rate": 2.0467666748241e-06, + "loss": 0.7408, + "step": 33911 + }, + { + "epoch": 0.8, + "grad_norm": 1.6868249604531058, + "learning_rate": 2.0463041535910587e-06, + "loss": 0.8757, + "step": 33912 + }, + { + "epoch": 0.8, + "grad_norm": 1.4904907308659048, + "learning_rate": 2.045841678666951e-06, + "loss": 0.8273, + "step": 33913 + }, + { + "epoch": 0.8, + "grad_norm": 1.6985052522244137, + "learning_rate": 2.0453792500544734e-06, + "loss": 0.8394, + "step": 33914 + }, + { + "epoch": 0.8, + "grad_norm": 0.7808631128627328, + "learning_rate": 2.0449168677563136e-06, + "loss": 0.7225, + "step": 33915 + }, + { + "epoch": 0.8, + "grad_norm": 1.8148431951186468, + "learning_rate": 2.04445453177517e-06, + "loss": 0.9662, + "step": 33916 + }, + { + "epoch": 0.8, + "grad_norm": 1.812226072449721, + "learning_rate": 2.043992242113727e-06, + "loss": 0.786, + "step": 33917 + }, + { + "epoch": 0.8, + "grad_norm": 1.6431362721955574, + "learning_rate": 2.0435299987746825e-06, + "loss": 0.8479, + "step": 33918 + }, + { + "epoch": 0.8, + "grad_norm": 1.475449096109148, + "learning_rate": 2.0430678017607266e-06, + "loss": 0.7672, + "step": 33919 + }, + { + "epoch": 0.8, + "grad_norm": 3.061332610143939, + "learning_rate": 2.0426056510745453e-06, + "loss": 0.8461, + "step": 33920 + }, + { + "epoch": 0.8, + "grad_norm": 1.5851829821537302, + "learning_rate": 2.0421435467188333e-06, + "loss": 0.8873, + "step": 33921 + }, + { + "epoch": 0.8, + "grad_norm": 1.5830634263153145, + "learning_rate": 2.041681488696283e-06, + "loss": 0.9882, + "step": 33922 + }, + { + "epoch": 0.8, + "grad_norm": 1.572797232974539, + "learning_rate": 2.041219477009584e-06, + "loss": 0.9013, + "step": 33923 + }, + { + "epoch": 0.8, + "grad_norm": 1.7030497799430167, + "learning_rate": 2.040757511661421e-06, + "loss": 0.868, + "step": 33924 + }, + { + "epoch": 0.8, + "grad_norm": 1.5723834755330561, + "learning_rate": 2.0402955926544887e-06, + "loss": 0.9402, + "step": 33925 + }, + { + "epoch": 0.8, + "grad_norm": 1.5492480044747163, + "learning_rate": 2.0398337199914774e-06, + "loss": 0.862, + "step": 33926 + }, + { + "epoch": 0.8, + "grad_norm": 1.7466510566637703, + "learning_rate": 2.039371893675075e-06, + "loss": 0.8103, + "step": 33927 + }, + { + "epoch": 0.8, + "grad_norm": 1.976432529065184, + "learning_rate": 2.038910113707966e-06, + "loss": 0.8689, + "step": 33928 + }, + { + "epoch": 0.8, + "grad_norm": 1.8106305796227837, + "learning_rate": 2.0384483800928433e-06, + "loss": 0.8131, + "step": 33929 + }, + { + "epoch": 0.8, + "grad_norm": 1.4565033078029062, + "learning_rate": 2.0379866928323977e-06, + "loss": 0.8632, + "step": 33930 + }, + { + "epoch": 0.8, + "grad_norm": 1.64186562671414, + "learning_rate": 2.0375250519293145e-06, + "loss": 0.8837, + "step": 33931 + }, + { + "epoch": 0.8, + "grad_norm": 1.6864912283195719, + "learning_rate": 2.0370634573862778e-06, + "loss": 0.6564, + "step": 33932 + }, + { + "epoch": 0.8, + "grad_norm": 1.6622465880361803, + "learning_rate": 2.036601909205982e-06, + "loss": 0.8385, + "step": 33933 + }, + { + "epoch": 0.8, + "grad_norm": 1.893273778284142, + "learning_rate": 2.0361404073911086e-06, + "loss": 0.8166, + "step": 33934 + }, + { + "epoch": 0.8, + "grad_norm": 1.673220137444664, + "learning_rate": 2.035678951944349e-06, + "loss": 0.7223, + "step": 33935 + }, + { + "epoch": 0.8, + "grad_norm": 1.844232379670582, + "learning_rate": 2.0352175428683853e-06, + "loss": 0.9011, + "step": 33936 + }, + { + "epoch": 0.8, + "grad_norm": 1.8156058507565958, + "learning_rate": 2.03475618016591e-06, + "loss": 0.7917, + "step": 33937 + }, + { + "epoch": 0.8, + "grad_norm": 1.698281342193231, + "learning_rate": 2.034294863839603e-06, + "loss": 0.8845, + "step": 33938 + }, + { + "epoch": 0.8, + "grad_norm": 1.580485041108814, + "learning_rate": 2.033833593892156e-06, + "loss": 0.906, + "step": 33939 + }, + { + "epoch": 0.8, + "grad_norm": 1.6093975195658938, + "learning_rate": 2.033372370326252e-06, + "loss": 0.8892, + "step": 33940 + }, + { + "epoch": 0.8, + "grad_norm": 1.7957773932736103, + "learning_rate": 2.032911193144573e-06, + "loss": 0.7986, + "step": 33941 + }, + { + "epoch": 0.8, + "grad_norm": 2.291920873026613, + "learning_rate": 2.0324500623498076e-06, + "loss": 0.8471, + "step": 33942 + }, + { + "epoch": 0.8, + "grad_norm": 1.8086934851793894, + "learning_rate": 2.0319889779446432e-06, + "loss": 0.8286, + "step": 33943 + }, + { + "epoch": 0.8, + "grad_norm": 1.5273272374233406, + "learning_rate": 2.031527939931761e-06, + "loss": 0.8974, + "step": 33944 + }, + { + "epoch": 0.8, + "grad_norm": 1.7841962653766927, + "learning_rate": 2.0310669483138446e-06, + "loss": 0.7567, + "step": 33945 + }, + { + "epoch": 0.8, + "grad_norm": 1.4946023497594711, + "learning_rate": 2.030606003093578e-06, + "loss": 0.8563, + "step": 33946 + }, + { + "epoch": 0.8, + "grad_norm": 1.5735415371678632, + "learning_rate": 2.0301451042736496e-06, + "loss": 0.7145, + "step": 33947 + }, + { + "epoch": 0.8, + "grad_norm": 2.284843281385773, + "learning_rate": 2.0296842518567395e-06, + "loss": 0.8274, + "step": 33948 + }, + { + "epoch": 0.8, + "grad_norm": 0.789044969935397, + "learning_rate": 2.0292234458455284e-06, + "loss": 0.6801, + "step": 33949 + }, + { + "epoch": 0.8, + "grad_norm": 1.758279799346372, + "learning_rate": 2.0287626862427024e-06, + "loss": 0.7882, + "step": 33950 + }, + { + "epoch": 0.8, + "grad_norm": 1.4813895807748514, + "learning_rate": 2.0283019730509456e-06, + "loss": 0.7502, + "step": 33951 + }, + { + "epoch": 0.8, + "grad_norm": 1.8736300732094424, + "learning_rate": 2.0278413062729394e-06, + "loss": 0.8339, + "step": 33952 + }, + { + "epoch": 0.8, + "grad_norm": 0.7498065200781965, + "learning_rate": 2.027380685911361e-06, + "loss": 0.7098, + "step": 33953 + }, + { + "epoch": 0.8, + "grad_norm": 1.7049243806549002, + "learning_rate": 2.0269201119688975e-06, + "loss": 1.0111, + "step": 33954 + }, + { + "epoch": 0.8, + "grad_norm": 0.7649166386938835, + "learning_rate": 2.0264595844482315e-06, + "loss": 0.7017, + "step": 33955 + }, + { + "epoch": 0.8, + "grad_norm": 1.5638942314195334, + "learning_rate": 2.025999103352042e-06, + "loss": 0.81, + "step": 33956 + }, + { + "epoch": 0.8, + "grad_norm": 1.601563054541166, + "learning_rate": 2.025538668683008e-06, + "loss": 0.8129, + "step": 33957 + }, + { + "epoch": 0.8, + "grad_norm": 0.7480214591788259, + "learning_rate": 2.025078280443815e-06, + "loss": 0.712, + "step": 33958 + }, + { + "epoch": 0.8, + "grad_norm": 1.4944023868782013, + "learning_rate": 2.024617938637139e-06, + "loss": 0.8177, + "step": 33959 + }, + { + "epoch": 0.8, + "grad_norm": 1.5963586912208036, + "learning_rate": 2.024157643265665e-06, + "loss": 0.8636, + "step": 33960 + }, + { + "epoch": 0.8, + "grad_norm": 1.602687764213466, + "learning_rate": 2.023697394332067e-06, + "loss": 0.9241, + "step": 33961 + }, + { + "epoch": 0.8, + "grad_norm": 1.5399998566017468, + "learning_rate": 2.0232371918390305e-06, + "loss": 0.7237, + "step": 33962 + }, + { + "epoch": 0.8, + "grad_norm": 1.69692400264193, + "learning_rate": 2.0227770357892307e-06, + "loss": 0.7337, + "step": 33963 + }, + { + "epoch": 0.8, + "grad_norm": 0.7655312229030654, + "learning_rate": 2.02231692618535e-06, + "loss": 0.6678, + "step": 33964 + }, + { + "epoch": 0.8, + "grad_norm": 1.959704396782596, + "learning_rate": 2.021856863030067e-06, + "loss": 0.9114, + "step": 33965 + }, + { + "epoch": 0.8, + "grad_norm": 1.5866451517558524, + "learning_rate": 2.0213968463260556e-06, + "loss": 0.7104, + "step": 33966 + }, + { + "epoch": 0.8, + "grad_norm": 1.634381643029579, + "learning_rate": 2.0209368760759983e-06, + "loss": 0.8719, + "step": 33967 + }, + { + "epoch": 0.8, + "grad_norm": 0.7717462911055125, + "learning_rate": 2.020476952282573e-06, + "loss": 0.7646, + "step": 33968 + }, + { + "epoch": 0.8, + "grad_norm": 1.927921707191439, + "learning_rate": 2.0200170749484614e-06, + "loss": 0.7743, + "step": 33969 + }, + { + "epoch": 0.8, + "grad_norm": 1.7790306727817544, + "learning_rate": 2.019557244076332e-06, + "loss": 0.8519, + "step": 33970 + }, + { + "epoch": 0.8, + "grad_norm": 1.67969952871138, + "learning_rate": 2.0190974596688673e-06, + "loss": 0.818, + "step": 33971 + }, + { + "epoch": 0.8, + "grad_norm": 1.5347069218727687, + "learning_rate": 2.018637721728747e-06, + "loss": 0.8316, + "step": 33972 + }, + { + "epoch": 0.8, + "grad_norm": 1.5948693179582236, + "learning_rate": 2.018178030258643e-06, + "loss": 0.9237, + "step": 33973 + }, + { + "epoch": 0.8, + "grad_norm": 1.5496129581830933, + "learning_rate": 2.0177183852612316e-06, + "loss": 0.9605, + "step": 33974 + }, + { + "epoch": 0.8, + "grad_norm": 0.7097082604215399, + "learning_rate": 2.017258786739191e-06, + "loss": 0.7084, + "step": 33975 + }, + { + "epoch": 0.8, + "grad_norm": 1.9364448964328664, + "learning_rate": 2.0167992346952005e-06, + "loss": 0.8318, + "step": 33976 + }, + { + "epoch": 0.8, + "grad_norm": 1.9197980913080726, + "learning_rate": 2.016339729131929e-06, + "loss": 0.8786, + "step": 33977 + }, + { + "epoch": 0.8, + "grad_norm": 1.5904896835408133, + "learning_rate": 2.0158802700520576e-06, + "loss": 0.6718, + "step": 33978 + }, + { + "epoch": 0.8, + "grad_norm": 1.6951853191748925, + "learning_rate": 2.015420857458259e-06, + "loss": 0.737, + "step": 33979 + }, + { + "epoch": 0.8, + "grad_norm": 1.455888086284673, + "learning_rate": 2.0149614913532055e-06, + "loss": 0.7158, + "step": 33980 + }, + { + "epoch": 0.8, + "grad_norm": 1.5058380445227886, + "learning_rate": 2.014502171739574e-06, + "loss": 0.7967, + "step": 33981 + }, + { + "epoch": 0.8, + "grad_norm": 1.6002050691635077, + "learning_rate": 2.014042898620042e-06, + "loss": 0.807, + "step": 33982 + }, + { + "epoch": 0.8, + "grad_norm": 1.5881855983830844, + "learning_rate": 2.013583671997281e-06, + "loss": 0.9403, + "step": 33983 + }, + { + "epoch": 0.8, + "grad_norm": 0.8574541950264588, + "learning_rate": 2.0131244918739612e-06, + "loss": 0.7563, + "step": 33984 + }, + { + "epoch": 0.8, + "grad_norm": 1.5162282794532247, + "learning_rate": 2.012665358252759e-06, + "loss": 0.8836, + "step": 33985 + }, + { + "epoch": 0.8, + "grad_norm": 1.997916737959878, + "learning_rate": 2.012206271136353e-06, + "loss": 0.8681, + "step": 33986 + }, + { + "epoch": 0.8, + "grad_norm": 1.673286579516864, + "learning_rate": 2.0117472305274065e-06, + "loss": 0.9108, + "step": 33987 + }, + { + "epoch": 0.8, + "grad_norm": 1.5454445647150046, + "learning_rate": 2.0112882364285968e-06, + "loss": 0.7972, + "step": 33988 + }, + { + "epoch": 0.8, + "grad_norm": 1.6314774067444995, + "learning_rate": 2.010829288842595e-06, + "loss": 0.6715, + "step": 33989 + }, + { + "epoch": 0.8, + "grad_norm": 1.6335271642978595, + "learning_rate": 2.0103703877720783e-06, + "loss": 0.7233, + "step": 33990 + }, + { + "epoch": 0.8, + "grad_norm": 0.778747516287952, + "learning_rate": 2.009911533219714e-06, + "loss": 0.7242, + "step": 33991 + }, + { + "epoch": 0.8, + "grad_norm": 1.4009279554018277, + "learning_rate": 2.0094527251881713e-06, + "loss": 0.9123, + "step": 33992 + }, + { + "epoch": 0.8, + "grad_norm": 1.4826100276787146, + "learning_rate": 2.008993963680127e-06, + "loss": 0.8723, + "step": 33993 + }, + { + "epoch": 0.8, + "grad_norm": 1.678888568736809, + "learning_rate": 2.008535248698248e-06, + "loss": 0.8345, + "step": 33994 + }, + { + "epoch": 0.8, + "grad_norm": 1.5020157549411448, + "learning_rate": 2.0080765802452097e-06, + "loss": 0.8337, + "step": 33995 + }, + { + "epoch": 0.8, + "grad_norm": 0.7717096137631648, + "learning_rate": 2.0076179583236765e-06, + "loss": 0.7194, + "step": 33996 + }, + { + "epoch": 0.8, + "grad_norm": 0.762061285238207, + "learning_rate": 2.0071593829363245e-06, + "loss": 0.7232, + "step": 33997 + }, + { + "epoch": 0.8, + "grad_norm": 1.769583807029489, + "learning_rate": 2.006700854085819e-06, + "loss": 0.8528, + "step": 33998 + }, + { + "epoch": 0.8, + "grad_norm": 1.5794296473792593, + "learning_rate": 2.0062423717748336e-06, + "loss": 0.7974, + "step": 33999 + }, + { + "epoch": 0.8, + "grad_norm": 1.9438213979433496, + "learning_rate": 2.005783936006036e-06, + "loss": 0.8615, + "step": 34000 + }, + { + "epoch": 0.8, + "grad_norm": 1.3240947434555475, + "learning_rate": 2.0053255467820933e-06, + "loss": 0.7214, + "step": 34001 + }, + { + "epoch": 0.8, + "grad_norm": 1.5358202922188966, + "learning_rate": 2.004867204105676e-06, + "loss": 0.9446, + "step": 34002 + }, + { + "epoch": 0.8, + "grad_norm": 1.614004375416998, + "learning_rate": 2.004408907979456e-06, + "loss": 0.8281, + "step": 34003 + }, + { + "epoch": 0.8, + "grad_norm": 1.4746776204627425, + "learning_rate": 2.0039506584060987e-06, + "loss": 0.8021, + "step": 34004 + }, + { + "epoch": 0.8, + "grad_norm": 1.8516271008454261, + "learning_rate": 2.0034924553882683e-06, + "loss": 0.8514, + "step": 34005 + }, + { + "epoch": 0.8, + "grad_norm": 1.5873804378743455, + "learning_rate": 2.0030342989286376e-06, + "loss": 0.8413, + "step": 34006 + }, + { + "epoch": 0.8, + "grad_norm": 1.6882808516824674, + "learning_rate": 2.0025761890298757e-06, + "loss": 0.8247, + "step": 34007 + }, + { + "epoch": 0.8, + "grad_norm": 1.4811016173173401, + "learning_rate": 2.0021181256946465e-06, + "loss": 0.9095, + "step": 34008 + }, + { + "epoch": 0.8, + "grad_norm": 1.4442276198698265, + "learning_rate": 2.001660108925616e-06, + "loss": 0.8815, + "step": 34009 + }, + { + "epoch": 0.8, + "grad_norm": 1.5203247802730069, + "learning_rate": 2.001202138725451e-06, + "loss": 0.7653, + "step": 34010 + }, + { + "epoch": 0.8, + "grad_norm": 1.677741983179121, + "learning_rate": 2.0007442150968236e-06, + "loss": 0.7665, + "step": 34011 + }, + { + "epoch": 0.8, + "grad_norm": 1.588622777531966, + "learning_rate": 2.000286338042395e-06, + "loss": 0.7835, + "step": 34012 + }, + { + "epoch": 0.8, + "grad_norm": 1.4959237079134793, + "learning_rate": 1.9998285075648304e-06, + "loss": 0.7884, + "step": 34013 + }, + { + "epoch": 0.8, + "grad_norm": 1.6868341498420898, + "learning_rate": 1.9993707236667992e-06, + "loss": 0.7316, + "step": 34014 + }, + { + "epoch": 0.8, + "grad_norm": 1.5635203430622593, + "learning_rate": 1.9989129863509617e-06, + "loss": 0.8233, + "step": 34015 + }, + { + "epoch": 0.8, + "grad_norm": 1.423144906956763, + "learning_rate": 1.998455295619989e-06, + "loss": 0.7695, + "step": 34016 + }, + { + "epoch": 0.8, + "grad_norm": 0.7924526077345266, + "learning_rate": 1.9979976514765397e-06, + "loss": 0.7649, + "step": 34017 + }, + { + "epoch": 0.8, + "grad_norm": 1.7212585315736606, + "learning_rate": 1.9975400539232836e-06, + "loss": 0.8791, + "step": 34018 + }, + { + "epoch": 0.8, + "grad_norm": 1.6386079811272738, + "learning_rate": 1.9970825029628814e-06, + "loss": 0.9681, + "step": 34019 + }, + { + "epoch": 0.8, + "grad_norm": 1.618135294819682, + "learning_rate": 1.996624998598e-06, + "loss": 0.9174, + "step": 34020 + }, + { + "epoch": 0.8, + "grad_norm": 1.5857310169129926, + "learning_rate": 1.996167540831303e-06, + "loss": 0.8655, + "step": 34021 + }, + { + "epoch": 0.8, + "grad_norm": 0.7542525925252053, + "learning_rate": 1.995710129665449e-06, + "loss": 0.646, + "step": 34022 + }, + { + "epoch": 0.8, + "grad_norm": 1.5241660908849934, + "learning_rate": 1.995252765103105e-06, + "loss": 0.7766, + "step": 34023 + }, + { + "epoch": 0.8, + "grad_norm": 1.4732331316111855, + "learning_rate": 1.9947954471469365e-06, + "loss": 0.8863, + "step": 34024 + }, + { + "epoch": 0.8, + "grad_norm": 1.8670161798808493, + "learning_rate": 1.9943381757996027e-06, + "loss": 0.8623, + "step": 34025 + }, + { + "epoch": 0.8, + "grad_norm": 1.460488916637623, + "learning_rate": 1.9938809510637648e-06, + "loss": 0.812, + "step": 34026 + }, + { + "epoch": 0.8, + "grad_norm": 1.5992214960326911, + "learning_rate": 1.993423772942086e-06, + "loss": 0.8257, + "step": 34027 + }, + { + "epoch": 0.8, + "grad_norm": 1.7064409077772407, + "learning_rate": 1.992966641437232e-06, + "loss": 0.9164, + "step": 34028 + }, + { + "epoch": 0.8, + "grad_norm": 1.4883218366897162, + "learning_rate": 1.9925095565518605e-06, + "loss": 0.8597, + "step": 34029 + }, + { + "epoch": 0.8, + "grad_norm": 1.6902449349767383, + "learning_rate": 1.992052518288632e-06, + "loss": 0.8563, + "step": 34030 + }, + { + "epoch": 0.8, + "grad_norm": 0.7843612767802207, + "learning_rate": 1.9915955266502073e-06, + "loss": 0.7064, + "step": 34031 + }, + { + "epoch": 0.8, + "grad_norm": 1.6546920445622826, + "learning_rate": 1.9911385816392536e-06, + "loss": 0.7946, + "step": 34032 + }, + { + "epoch": 0.8, + "grad_norm": 1.5457881401214375, + "learning_rate": 1.990681683258425e-06, + "loss": 0.9218, + "step": 34033 + }, + { + "epoch": 0.8, + "grad_norm": 1.4312772554601187, + "learning_rate": 1.990224831510381e-06, + "loss": 0.8023, + "step": 34034 + }, + { + "epoch": 0.8, + "grad_norm": 1.652537086205061, + "learning_rate": 1.989768026397787e-06, + "loss": 0.9486, + "step": 34035 + }, + { + "epoch": 0.8, + "grad_norm": 1.688675659715597, + "learning_rate": 1.989311267923296e-06, + "loss": 0.8562, + "step": 34036 + }, + { + "epoch": 0.8, + "grad_norm": 1.6367118384249761, + "learning_rate": 1.9888545560895746e-06, + "loss": 0.7531, + "step": 34037 + }, + { + "epoch": 0.8, + "grad_norm": 1.7944161372406107, + "learning_rate": 1.988397890899275e-06, + "loss": 0.8311, + "step": 34038 + }, + { + "epoch": 0.8, + "grad_norm": 1.763183932791619, + "learning_rate": 1.987941272355063e-06, + "loss": 0.8502, + "step": 34039 + }, + { + "epoch": 0.8, + "grad_norm": 1.4511638801139162, + "learning_rate": 1.98748470045959e-06, + "loss": 0.7063, + "step": 34040 + }, + { + "epoch": 0.8, + "grad_norm": 1.69054511699244, + "learning_rate": 1.9870281752155208e-06, + "loss": 0.9924, + "step": 34041 + }, + { + "epoch": 0.8, + "grad_norm": 1.6230071180715542, + "learning_rate": 1.98657169662551e-06, + "loss": 0.8704, + "step": 34042 + }, + { + "epoch": 0.8, + "grad_norm": 1.7398327647911485, + "learning_rate": 1.9861152646922133e-06, + "loss": 0.6874, + "step": 34043 + }, + { + "epoch": 0.8, + "grad_norm": 2.0810990025361367, + "learning_rate": 1.9856588794182906e-06, + "loss": 0.8268, + "step": 34044 + }, + { + "epoch": 0.8, + "grad_norm": 0.7615784978660489, + "learning_rate": 1.985202540806401e-06, + "loss": 0.703, + "step": 34045 + }, + { + "epoch": 0.8, + "grad_norm": 1.660602012982795, + "learning_rate": 1.9847462488592017e-06, + "loss": 0.8678, + "step": 34046 + }, + { + "epoch": 0.8, + "grad_norm": 1.8083101820378202, + "learning_rate": 1.9842900035793435e-06, + "loss": 0.8242, + "step": 34047 + }, + { + "epoch": 0.8, + "grad_norm": 1.5565859627481986, + "learning_rate": 1.983833804969486e-06, + "loss": 0.7851, + "step": 34048 + }, + { + "epoch": 0.8, + "grad_norm": 1.4028187360525224, + "learning_rate": 1.983377653032289e-06, + "loss": 0.9072, + "step": 34049 + }, + { + "epoch": 0.8, + "grad_norm": 0.8102603957610693, + "learning_rate": 1.9829215477704066e-06, + "loss": 0.7248, + "step": 34050 + }, + { + "epoch": 0.8, + "grad_norm": 1.4595658448877507, + "learning_rate": 1.9824654891864893e-06, + "loss": 0.9294, + "step": 34051 + }, + { + "epoch": 0.8, + "grad_norm": 1.4213032444678118, + "learning_rate": 1.982009477283197e-06, + "loss": 0.8416, + "step": 34052 + }, + { + "epoch": 0.8, + "grad_norm": 0.7461013258952268, + "learning_rate": 1.9815535120631846e-06, + "loss": 0.7168, + "step": 34053 + }, + { + "epoch": 0.8, + "grad_norm": 1.8263025187040045, + "learning_rate": 1.9810975935291076e-06, + "loss": 0.6981, + "step": 34054 + }, + { + "epoch": 0.8, + "grad_norm": 1.736794224802001, + "learning_rate": 1.980641721683617e-06, + "loss": 0.767, + "step": 34055 + }, + { + "epoch": 0.8, + "grad_norm": 1.9557185865093605, + "learning_rate": 1.980185896529372e-06, + "loss": 0.8581, + "step": 34056 + }, + { + "epoch": 0.8, + "grad_norm": 2.2450502048025056, + "learning_rate": 1.9797301180690197e-06, + "loss": 0.8426, + "step": 34057 + }, + { + "epoch": 0.8, + "grad_norm": 1.6366149572228312, + "learning_rate": 1.9792743863052223e-06, + "loss": 0.7244, + "step": 34058 + }, + { + "epoch": 0.8, + "grad_norm": 1.5897423281072285, + "learning_rate": 1.9788187012406247e-06, + "loss": 0.9183, + "step": 34059 + }, + { + "epoch": 0.8, + "grad_norm": 1.6414246692716514, + "learning_rate": 1.978363062877887e-06, + "loss": 0.839, + "step": 34060 + }, + { + "epoch": 0.8, + "grad_norm": 1.4018450665071387, + "learning_rate": 1.9779074712196567e-06, + "loss": 0.8151, + "step": 34061 + }, + { + "epoch": 0.8, + "grad_norm": 1.4489502135659893, + "learning_rate": 1.9774519262685908e-06, + "loss": 0.8598, + "step": 34062 + }, + { + "epoch": 0.8, + "grad_norm": 1.5845094781573386, + "learning_rate": 1.97699642802734e-06, + "loss": 0.8822, + "step": 34063 + }, + { + "epoch": 0.8, + "grad_norm": 0.7863504266676469, + "learning_rate": 1.9765409764985543e-06, + "loss": 0.6546, + "step": 34064 + }, + { + "epoch": 0.8, + "grad_norm": 0.737784690955662, + "learning_rate": 1.976085571684887e-06, + "loss": 0.6806, + "step": 34065 + }, + { + "epoch": 0.8, + "grad_norm": 1.4185465594843643, + "learning_rate": 1.9756302135889894e-06, + "loss": 0.7586, + "step": 34066 + }, + { + "epoch": 0.8, + "grad_norm": 1.5075741464102248, + "learning_rate": 1.975174902213518e-06, + "loss": 0.9279, + "step": 34067 + }, + { + "epoch": 0.8, + "grad_norm": 1.5933473916478733, + "learning_rate": 1.9747196375611143e-06, + "loss": 0.8585, + "step": 34068 + }, + { + "epoch": 0.8, + "grad_norm": 1.5075164857619432, + "learning_rate": 1.974264419634433e-06, + "loss": 0.8371, + "step": 34069 + }, + { + "epoch": 0.8, + "grad_norm": 2.3276987018038633, + "learning_rate": 1.973809248436128e-06, + "loss": 0.9951, + "step": 34070 + }, + { + "epoch": 0.8, + "grad_norm": 1.425229937006496, + "learning_rate": 1.973354123968847e-06, + "loss": 0.7036, + "step": 34071 + }, + { + "epoch": 0.8, + "grad_norm": 0.7530001002149306, + "learning_rate": 1.972899046235237e-06, + "loss": 0.6865, + "step": 34072 + }, + { + "epoch": 0.8, + "grad_norm": 1.5649957684799058, + "learning_rate": 1.97244401523795e-06, + "loss": 0.7641, + "step": 34073 + }, + { + "epoch": 0.8, + "grad_norm": 1.6017961174135642, + "learning_rate": 1.9719890309796374e-06, + "loss": 0.967, + "step": 34074 + }, + { + "epoch": 0.8, + "grad_norm": 2.541734538265921, + "learning_rate": 1.9715340934629446e-06, + "loss": 0.8047, + "step": 34075 + }, + { + "epoch": 0.8, + "grad_norm": 2.7660810117909924, + "learning_rate": 1.9710792026905243e-06, + "loss": 0.7115, + "step": 34076 + }, + { + "epoch": 0.8, + "grad_norm": 1.6441952542020914, + "learning_rate": 1.97062435866502e-06, + "loss": 0.9057, + "step": 34077 + }, + { + "epoch": 0.8, + "grad_norm": 1.5767910039484223, + "learning_rate": 1.970169561389086e-06, + "loss": 0.6569, + "step": 34078 + }, + { + "epoch": 0.8, + "grad_norm": 1.5349852478692043, + "learning_rate": 1.969714810865363e-06, + "loss": 0.7979, + "step": 34079 + }, + { + "epoch": 0.8, + "grad_norm": 1.5710675645854923, + "learning_rate": 1.969260107096507e-06, + "loss": 0.7593, + "step": 34080 + }, + { + "epoch": 0.8, + "grad_norm": 0.7622796746433871, + "learning_rate": 1.9688054500851596e-06, + "loss": 0.7093, + "step": 34081 + }, + { + "epoch": 0.8, + "grad_norm": 1.6018501021870535, + "learning_rate": 1.968350839833968e-06, + "loss": 0.6917, + "step": 34082 + }, + { + "epoch": 0.8, + "grad_norm": 1.4639184534559235, + "learning_rate": 1.96789627634558e-06, + "loss": 0.8462, + "step": 34083 + }, + { + "epoch": 0.8, + "grad_norm": 2.0495889301760086, + "learning_rate": 1.967441759622646e-06, + "loss": 0.8828, + "step": 34084 + }, + { + "epoch": 0.8, + "grad_norm": 1.7271065606575404, + "learning_rate": 1.9669872896678087e-06, + "loss": 0.7973, + "step": 34085 + }, + { + "epoch": 0.8, + "grad_norm": 1.8999661665534515, + "learning_rate": 1.9665328664837114e-06, + "loss": 0.7912, + "step": 34086 + }, + { + "epoch": 0.8, + "grad_norm": 1.772418271357786, + "learning_rate": 1.9660784900730047e-06, + "loss": 0.7393, + "step": 34087 + }, + { + "epoch": 0.8, + "grad_norm": 3.4554782540755618, + "learning_rate": 1.9656241604383343e-06, + "loss": 0.7344, + "step": 34088 + }, + { + "epoch": 0.8, + "grad_norm": 2.1716813960475205, + "learning_rate": 1.9651698775823425e-06, + "loss": 0.7608, + "step": 34089 + }, + { + "epoch": 0.8, + "grad_norm": 1.5676433590110856, + "learning_rate": 1.964715641507674e-06, + "loss": 0.7983, + "step": 34090 + }, + { + "epoch": 0.8, + "grad_norm": 3.619949477738865, + "learning_rate": 1.9642614522169754e-06, + "loss": 0.7889, + "step": 34091 + }, + { + "epoch": 0.8, + "grad_norm": 0.7364758813148121, + "learning_rate": 1.963807309712893e-06, + "loss": 0.7071, + "step": 34092 + }, + { + "epoch": 0.8, + "grad_norm": 1.830966771431172, + "learning_rate": 1.9633532139980684e-06, + "loss": 0.7534, + "step": 34093 + }, + { + "epoch": 0.8, + "grad_norm": 1.4855529075686769, + "learning_rate": 1.962899165075143e-06, + "loss": 0.7663, + "step": 34094 + }, + { + "epoch": 0.8, + "grad_norm": 1.7165329316496722, + "learning_rate": 1.9624451629467658e-06, + "loss": 0.8798, + "step": 34095 + }, + { + "epoch": 0.8, + "grad_norm": 1.447463653695832, + "learning_rate": 1.9619912076155757e-06, + "loss": 0.9099, + "step": 34096 + }, + { + "epoch": 0.8, + "grad_norm": 0.774388877023464, + "learning_rate": 1.9615372990842184e-06, + "loss": 0.7376, + "step": 34097 + }, + { + "epoch": 0.8, + "grad_norm": 1.4988158619318488, + "learning_rate": 1.9610834373553347e-06, + "loss": 0.7938, + "step": 34098 + }, + { + "epoch": 0.8, + "grad_norm": 1.7479402706902742, + "learning_rate": 1.9606296224315713e-06, + "loss": 0.8041, + "step": 34099 + }, + { + "epoch": 0.8, + "grad_norm": 1.7672436159394063, + "learning_rate": 1.9601758543155636e-06, + "loss": 0.7807, + "step": 34100 + }, + { + "epoch": 0.8, + "grad_norm": 1.8369369764454078, + "learning_rate": 1.9597221330099613e-06, + "loss": 0.9736, + "step": 34101 + }, + { + "epoch": 0.8, + "grad_norm": 1.5836499900225114, + "learning_rate": 1.9592684585174014e-06, + "loss": 0.8445, + "step": 34102 + }, + { + "epoch": 0.8, + "grad_norm": 1.730389418301245, + "learning_rate": 1.958814830840523e-06, + "loss": 0.81, + "step": 34103 + }, + { + "epoch": 0.8, + "grad_norm": 1.9258076552811174, + "learning_rate": 1.9583612499819713e-06, + "loss": 0.8456, + "step": 34104 + }, + { + "epoch": 0.8, + "grad_norm": 0.79436477094197, + "learning_rate": 1.9579077159443893e-06, + "loss": 0.6865, + "step": 34105 + }, + { + "epoch": 0.8, + "grad_norm": 1.9521781895325365, + "learning_rate": 1.957454228730414e-06, + "loss": 0.8071, + "step": 34106 + }, + { + "epoch": 0.8, + "grad_norm": 1.5820979681376888, + "learning_rate": 1.9570007883426845e-06, + "loss": 0.9371, + "step": 34107 + }, + { + "epoch": 0.8, + "grad_norm": 1.5596782937167002, + "learning_rate": 1.956547394783842e-06, + "loss": 0.7129, + "step": 34108 + }, + { + "epoch": 0.8, + "grad_norm": 1.483283062572781, + "learning_rate": 1.9560940480565304e-06, + "loss": 0.7901, + "step": 34109 + }, + { + "epoch": 0.8, + "grad_norm": 1.7761042992431557, + "learning_rate": 1.9556407481633854e-06, + "loss": 0.7942, + "step": 34110 + }, + { + "epoch": 0.8, + "grad_norm": 2.0968435638166736, + "learning_rate": 1.9551874951070438e-06, + "loss": 0.6907, + "step": 34111 + }, + { + "epoch": 0.8, + "grad_norm": 1.5771537202526644, + "learning_rate": 1.954734288890149e-06, + "loss": 0.9021, + "step": 34112 + }, + { + "epoch": 0.8, + "grad_norm": 1.7835884436866476, + "learning_rate": 1.9542811295153396e-06, + "loss": 0.8624, + "step": 34113 + }, + { + "epoch": 0.8, + "grad_norm": 1.6953320582106004, + "learning_rate": 1.953828016985253e-06, + "loss": 0.8495, + "step": 34114 + }, + { + "epoch": 0.8, + "grad_norm": 1.65725044227734, + "learning_rate": 1.9533749513025234e-06, + "loss": 0.7153, + "step": 34115 + }, + { + "epoch": 0.8, + "grad_norm": 5.235671025744072, + "learning_rate": 1.9529219324697966e-06, + "loss": 0.9595, + "step": 34116 + }, + { + "epoch": 0.8, + "grad_norm": 1.5660739299832172, + "learning_rate": 1.9524689604897028e-06, + "loss": 0.8354, + "step": 34117 + }, + { + "epoch": 0.8, + "grad_norm": 1.6594708621439611, + "learning_rate": 1.9520160353648852e-06, + "loss": 0.7378, + "step": 34118 + }, + { + "epoch": 0.8, + "grad_norm": 2.0933516520100395, + "learning_rate": 1.951563157097975e-06, + "loss": 0.8359, + "step": 34119 + }, + { + "epoch": 0.8, + "grad_norm": 1.4345205436653339, + "learning_rate": 1.9511103256916154e-06, + "loss": 0.8929, + "step": 34120 + }, + { + "epoch": 0.8, + "grad_norm": 1.7233172524289482, + "learning_rate": 1.9506575411484373e-06, + "loss": 0.9164, + "step": 34121 + }, + { + "epoch": 0.8, + "grad_norm": 1.5567622717937024, + "learning_rate": 1.9502048034710818e-06, + "loss": 0.8523, + "step": 34122 + }, + { + "epoch": 0.8, + "grad_norm": 1.5954102882149772, + "learning_rate": 1.9497521126621823e-06, + "loss": 0.8151, + "step": 34123 + }, + { + "epoch": 0.8, + "grad_norm": 1.606721395209238, + "learning_rate": 1.9492994687243715e-06, + "loss": 0.7946, + "step": 34124 + }, + { + "epoch": 0.8, + "grad_norm": 0.7398451586918123, + "learning_rate": 1.9488468716602895e-06, + "loss": 0.7514, + "step": 34125 + }, + { + "epoch": 0.8, + "grad_norm": 1.619955713362595, + "learning_rate": 1.948394321472571e-06, + "loss": 0.8778, + "step": 34126 + }, + { + "epoch": 0.8, + "grad_norm": 1.6885492433015041, + "learning_rate": 1.9479418181638508e-06, + "loss": 0.7256, + "step": 34127 + }, + { + "epoch": 0.8, + "grad_norm": 1.4412447318275106, + "learning_rate": 1.9474893617367597e-06, + "loss": 0.7954, + "step": 34128 + }, + { + "epoch": 0.8, + "grad_norm": 1.4386773404312905, + "learning_rate": 1.947036952193935e-06, + "loss": 0.8758, + "step": 34129 + }, + { + "epoch": 0.8, + "grad_norm": 1.720702256588522, + "learning_rate": 1.946584589538013e-06, + "loss": 0.8734, + "step": 34130 + }, + { + "epoch": 0.8, + "grad_norm": 1.5066298524194763, + "learning_rate": 1.946132273771625e-06, + "loss": 0.7531, + "step": 34131 + }, + { + "epoch": 0.8, + "grad_norm": 1.4537494880398307, + "learning_rate": 1.9456800048974023e-06, + "loss": 0.7174, + "step": 34132 + }, + { + "epoch": 0.8, + "grad_norm": 0.7836269788908566, + "learning_rate": 1.945227782917981e-06, + "loss": 0.7501, + "step": 34133 + }, + { + "epoch": 0.8, + "grad_norm": 1.4546229613062918, + "learning_rate": 1.944775607835996e-06, + "loss": 0.715, + "step": 34134 + }, + { + "epoch": 0.8, + "grad_norm": 1.6195773115075223, + "learning_rate": 1.944323479654078e-06, + "loss": 0.8913, + "step": 34135 + }, + { + "epoch": 0.8, + "grad_norm": 1.7761834928707503, + "learning_rate": 1.9438713983748556e-06, + "loss": 0.7889, + "step": 34136 + }, + { + "epoch": 0.8, + "grad_norm": 1.7408566143153477, + "learning_rate": 1.943419364000968e-06, + "loss": 0.821, + "step": 34137 + }, + { + "epoch": 0.8, + "grad_norm": 1.607578446513134, + "learning_rate": 1.94296737653504e-06, + "loss": 0.7669, + "step": 34138 + }, + { + "epoch": 0.8, + "grad_norm": 1.6383614105331383, + "learning_rate": 1.9425154359797103e-06, + "loss": 0.7409, + "step": 34139 + }, + { + "epoch": 0.8, + "grad_norm": 1.6550390216796595, + "learning_rate": 1.9420635423376033e-06, + "loss": 0.9873, + "step": 34140 + }, + { + "epoch": 0.8, + "grad_norm": 1.532729610193189, + "learning_rate": 1.941611695611356e-06, + "loss": 0.7551, + "step": 34141 + }, + { + "epoch": 0.8, + "grad_norm": 1.6184201667912868, + "learning_rate": 1.941159895803595e-06, + "loss": 0.8767, + "step": 34142 + }, + { + "epoch": 0.8, + "grad_norm": 1.672921663644073, + "learning_rate": 1.940708142916955e-06, + "loss": 0.7283, + "step": 34143 + }, + { + "epoch": 0.8, + "grad_norm": 1.8376498215193873, + "learning_rate": 1.9402564369540634e-06, + "loss": 0.9488, + "step": 34144 + }, + { + "epoch": 0.8, + "grad_norm": 1.5900404318255201, + "learning_rate": 1.939804777917548e-06, + "loss": 0.8763, + "step": 34145 + }, + { + "epoch": 0.8, + "grad_norm": 1.4392119589621983, + "learning_rate": 1.9393531658100395e-06, + "loss": 0.9212, + "step": 34146 + }, + { + "epoch": 0.8, + "grad_norm": 2.4877233084522556, + "learning_rate": 1.938901600634173e-06, + "loss": 0.7011, + "step": 34147 + }, + { + "epoch": 0.8, + "grad_norm": 1.5005391701267412, + "learning_rate": 1.9384500823925732e-06, + "loss": 0.8339, + "step": 34148 + }, + { + "epoch": 0.8, + "grad_norm": 1.5444630451172707, + "learning_rate": 1.9379986110878666e-06, + "loss": 1.0112, + "step": 34149 + }, + { + "epoch": 0.8, + "grad_norm": 0.785267107369238, + "learning_rate": 1.9375471867226846e-06, + "loss": 0.643, + "step": 34150 + }, + { + "epoch": 0.8, + "grad_norm": 1.8579368221741608, + "learning_rate": 1.9370958092996582e-06, + "loss": 0.8781, + "step": 34151 + }, + { + "epoch": 0.8, + "grad_norm": 1.569828161272494, + "learning_rate": 1.9366444788214123e-06, + "loss": 0.8417, + "step": 34152 + }, + { + "epoch": 0.8, + "grad_norm": 0.809605467170953, + "learning_rate": 1.9361931952905723e-06, + "loss": 0.7145, + "step": 34153 + }, + { + "epoch": 0.8, + "grad_norm": 0.7611266017364433, + "learning_rate": 1.935741958709768e-06, + "loss": 0.7145, + "step": 34154 + }, + { + "epoch": 0.8, + "grad_norm": 1.550761787947929, + "learning_rate": 1.9352907690816313e-06, + "loss": 0.7908, + "step": 34155 + }, + { + "epoch": 0.8, + "grad_norm": 1.7384990664499225, + "learning_rate": 1.9348396264087845e-06, + "loss": 0.7699, + "step": 34156 + }, + { + "epoch": 0.8, + "grad_norm": 2.0068073406409557, + "learning_rate": 1.9343885306938514e-06, + "loss": 0.8383, + "step": 34157 + }, + { + "epoch": 0.8, + "grad_norm": 1.8849275301413737, + "learning_rate": 1.933937481939464e-06, + "loss": 0.8768, + "step": 34158 + }, + { + "epoch": 0.8, + "grad_norm": 1.5511774400720144, + "learning_rate": 1.9334864801482446e-06, + "loss": 0.8863, + "step": 34159 + }, + { + "epoch": 0.8, + "grad_norm": 1.6533915939641624, + "learning_rate": 1.9330355253228237e-06, + "loss": 0.8166, + "step": 34160 + }, + { + "epoch": 0.8, + "grad_norm": 1.5839618261488255, + "learning_rate": 1.93258461746582e-06, + "loss": 0.8041, + "step": 34161 + }, + { + "epoch": 0.8, + "grad_norm": 1.805229185286669, + "learning_rate": 1.932133756579867e-06, + "loss": 0.73, + "step": 34162 + }, + { + "epoch": 0.8, + "grad_norm": 1.7141249323281826, + "learning_rate": 1.931682942667582e-06, + "loss": 0.7397, + "step": 34163 + }, + { + "epoch": 0.8, + "grad_norm": 1.6615482641757928, + "learning_rate": 1.931232175731593e-06, + "loss": 0.8527, + "step": 34164 + }, + { + "epoch": 0.8, + "grad_norm": 1.6712733415766654, + "learning_rate": 1.9307814557745307e-06, + "loss": 0.8386, + "step": 34165 + }, + { + "epoch": 0.8, + "grad_norm": 1.3869723110436383, + "learning_rate": 1.930330782799008e-06, + "loss": 0.5701, + "step": 34166 + }, + { + "epoch": 0.8, + "grad_norm": 1.6664985325324562, + "learning_rate": 1.9298801568076543e-06, + "loss": 0.9211, + "step": 34167 + }, + { + "epoch": 0.8, + "grad_norm": 0.845529317357237, + "learning_rate": 1.9294295778030924e-06, + "loss": 0.7241, + "step": 34168 + }, + { + "epoch": 0.8, + "grad_norm": 1.489651456209226, + "learning_rate": 1.928979045787953e-06, + "loss": 0.8062, + "step": 34169 + }, + { + "epoch": 0.81, + "grad_norm": 1.500538069485248, + "learning_rate": 1.9285285607648476e-06, + "loss": 0.8794, + "step": 34170 + }, + { + "epoch": 0.81, + "grad_norm": 1.6474186740495593, + "learning_rate": 1.928078122736403e-06, + "loss": 0.8196, + "step": 34171 + }, + { + "epoch": 0.81, + "grad_norm": 1.548534057937897, + "learning_rate": 1.927627731705247e-06, + "loss": 0.763, + "step": 34172 + }, + { + "epoch": 0.81, + "grad_norm": 1.4567767382697387, + "learning_rate": 1.9271773876739953e-06, + "loss": 0.8655, + "step": 34173 + }, + { + "epoch": 0.81, + "grad_norm": 1.527643813790304, + "learning_rate": 1.926727090645275e-06, + "loss": 0.7829, + "step": 34174 + }, + { + "epoch": 0.81, + "grad_norm": 2.045348399071866, + "learning_rate": 1.9262768406217026e-06, + "loss": 0.7334, + "step": 34175 + }, + { + "epoch": 0.81, + "grad_norm": 1.618664442638559, + "learning_rate": 1.9258266376059053e-06, + "loss": 0.8467, + "step": 34176 + }, + { + "epoch": 0.81, + "grad_norm": 1.68835841444524, + "learning_rate": 1.9253764816004993e-06, + "loss": 0.7177, + "step": 34177 + }, + { + "epoch": 0.81, + "grad_norm": 2.420273720210473, + "learning_rate": 1.9249263726081103e-06, + "loss": 0.8987, + "step": 34178 + }, + { + "epoch": 0.81, + "grad_norm": 1.7307895132431637, + "learning_rate": 1.924476310631357e-06, + "loss": 0.7738, + "step": 34179 + }, + { + "epoch": 0.81, + "grad_norm": 1.3908309439542865, + "learning_rate": 1.924026295672856e-06, + "loss": 0.9183, + "step": 34180 + }, + { + "epoch": 0.81, + "grad_norm": 1.7791685059110403, + "learning_rate": 1.9235763277352304e-06, + "loss": 0.8468, + "step": 34181 + }, + { + "epoch": 0.81, + "grad_norm": 1.5482291303764153, + "learning_rate": 1.9231264068211033e-06, + "loss": 0.7434, + "step": 34182 + }, + { + "epoch": 0.81, + "grad_norm": 1.8571669283748458, + "learning_rate": 1.922676532933092e-06, + "loss": 0.8184, + "step": 34183 + }, + { + "epoch": 0.81, + "grad_norm": 1.4899183836431056, + "learning_rate": 1.922226706073812e-06, + "loss": 0.7641, + "step": 34184 + }, + { + "epoch": 0.81, + "grad_norm": 1.8216941853368944, + "learning_rate": 1.921776926245885e-06, + "loss": 0.738, + "step": 34185 + }, + { + "epoch": 0.81, + "grad_norm": 1.8207237429585463, + "learning_rate": 1.921327193451934e-06, + "loss": 0.7593, + "step": 34186 + }, + { + "epoch": 0.81, + "grad_norm": 1.4325963533920683, + "learning_rate": 1.920877507694573e-06, + "loss": 0.775, + "step": 34187 + }, + { + "epoch": 0.81, + "grad_norm": 1.6067260812063093, + "learning_rate": 1.920427868976418e-06, + "loss": 0.8284, + "step": 34188 + }, + { + "epoch": 0.81, + "grad_norm": 1.6253578960078525, + "learning_rate": 1.9199782773000908e-06, + "loss": 0.8105, + "step": 34189 + }, + { + "epoch": 0.81, + "grad_norm": 1.6773034680956322, + "learning_rate": 1.91952873266821e-06, + "loss": 0.9981, + "step": 34190 + }, + { + "epoch": 0.81, + "grad_norm": 1.4956689553784586, + "learning_rate": 1.919079235083391e-06, + "loss": 0.8099, + "step": 34191 + }, + { + "epoch": 0.81, + "grad_norm": 1.6166529463773986, + "learning_rate": 1.9186297845482495e-06, + "loss": 0.8562, + "step": 34192 + }, + { + "epoch": 0.81, + "grad_norm": 3.7163693434100833, + "learning_rate": 1.9181803810654053e-06, + "loss": 0.683, + "step": 34193 + }, + { + "epoch": 0.81, + "grad_norm": 0.7647418189357048, + "learning_rate": 1.9177310246374725e-06, + "loss": 0.6725, + "step": 34194 + }, + { + "epoch": 0.81, + "grad_norm": 2.123339390222834, + "learning_rate": 1.9172817152670696e-06, + "loss": 0.8562, + "step": 34195 + }, + { + "epoch": 0.81, + "grad_norm": 1.8042299562727895, + "learning_rate": 1.9168324529568093e-06, + "loss": 0.7738, + "step": 34196 + }, + { + "epoch": 0.81, + "grad_norm": 1.8516771731447998, + "learning_rate": 1.9163832377093126e-06, + "loss": 0.9039, + "step": 34197 + }, + { + "epoch": 0.81, + "grad_norm": 1.7091295079185405, + "learning_rate": 1.915934069527189e-06, + "loss": 0.8402, + "step": 34198 + }, + { + "epoch": 0.81, + "grad_norm": 2.0759029458027487, + "learning_rate": 1.91548494841306e-06, + "loss": 0.7828, + "step": 34199 + }, + { + "epoch": 0.81, + "grad_norm": 1.531822823041901, + "learning_rate": 1.915035874369533e-06, + "loss": 0.7812, + "step": 34200 + }, + { + "epoch": 0.81, + "grad_norm": 2.631781737122454, + "learning_rate": 1.91458684739923e-06, + "loss": 0.7979, + "step": 34201 + }, + { + "epoch": 0.81, + "grad_norm": 1.7352743676864049, + "learning_rate": 1.9141378675047608e-06, + "loss": 0.6701, + "step": 34202 + }, + { + "epoch": 0.81, + "grad_norm": 0.7409833663685631, + "learning_rate": 1.9136889346887423e-06, + "loss": 0.6657, + "step": 34203 + }, + { + "epoch": 0.81, + "grad_norm": 1.5008325151662665, + "learning_rate": 1.9132400489537872e-06, + "loss": 1.0069, + "step": 34204 + }, + { + "epoch": 0.81, + "grad_norm": 1.4749615687605833, + "learning_rate": 1.9127912103025058e-06, + "loss": 0.8179, + "step": 34205 + }, + { + "epoch": 0.81, + "grad_norm": 1.5705802432013363, + "learning_rate": 1.912342418737515e-06, + "loss": 0.7638, + "step": 34206 + }, + { + "epoch": 0.81, + "grad_norm": 1.649133882333506, + "learning_rate": 1.911893674261429e-06, + "loss": 0.9789, + "step": 34207 + }, + { + "epoch": 0.81, + "grad_norm": 1.7149186735231983, + "learning_rate": 1.9114449768768584e-06, + "loss": 0.8798, + "step": 34208 + }, + { + "epoch": 0.81, + "grad_norm": 1.715450701621632, + "learning_rate": 1.910996326586414e-06, + "loss": 0.6388, + "step": 34209 + }, + { + "epoch": 0.81, + "grad_norm": 1.431132190954369, + "learning_rate": 1.9105477233927105e-06, + "loss": 0.8298, + "step": 34210 + }, + { + "epoch": 0.81, + "grad_norm": 0.7419901749046269, + "learning_rate": 1.9100991672983616e-06, + "loss": 0.6373, + "step": 34211 + }, + { + "epoch": 0.81, + "grad_norm": 1.9804610194270738, + "learning_rate": 1.909650658305976e-06, + "loss": 0.7169, + "step": 34212 + }, + { + "epoch": 0.81, + "grad_norm": 1.6699538584415332, + "learning_rate": 1.909202196418163e-06, + "loss": 0.9114, + "step": 34213 + }, + { + "epoch": 0.81, + "grad_norm": 1.629073834006765, + "learning_rate": 1.908753781637537e-06, + "loss": 0.9108, + "step": 34214 + }, + { + "epoch": 0.81, + "grad_norm": 1.6314009360985708, + "learning_rate": 1.9083054139667103e-06, + "loss": 0.6916, + "step": 34215 + }, + { + "epoch": 0.81, + "grad_norm": 1.410542635482456, + "learning_rate": 1.9078570934082907e-06, + "loss": 0.7503, + "step": 34216 + }, + { + "epoch": 0.81, + "grad_norm": 1.8328095852492505, + "learning_rate": 1.9074088199648866e-06, + "loss": 0.8708, + "step": 34217 + }, + { + "epoch": 0.81, + "grad_norm": 1.7381857955466615, + "learning_rate": 1.9069605936391133e-06, + "loss": 0.7242, + "step": 34218 + }, + { + "epoch": 0.81, + "grad_norm": 1.6648485287948371, + "learning_rate": 1.9065124144335756e-06, + "loss": 0.8423, + "step": 34219 + }, + { + "epoch": 0.81, + "grad_norm": 2.234423512014171, + "learning_rate": 1.9060642823508869e-06, + "loss": 0.8107, + "step": 34220 + }, + { + "epoch": 0.81, + "grad_norm": 0.768709176546675, + "learning_rate": 1.9056161973936516e-06, + "loss": 0.7139, + "step": 34221 + }, + { + "epoch": 0.81, + "grad_norm": 1.5139302910094947, + "learning_rate": 1.9051681595644844e-06, + "loss": 0.8026, + "step": 34222 + }, + { + "epoch": 0.81, + "grad_norm": 1.5697101932779003, + "learning_rate": 1.904720168865989e-06, + "loss": 0.8451, + "step": 34223 + }, + { + "epoch": 0.81, + "grad_norm": 1.5895632204830628, + "learning_rate": 1.9042722253007772e-06, + "loss": 0.8231, + "step": 34224 + }, + { + "epoch": 0.81, + "grad_norm": 1.5512785874898791, + "learning_rate": 1.9038243288714563e-06, + "loss": 0.8828, + "step": 34225 + }, + { + "epoch": 0.81, + "grad_norm": 0.8011250029584954, + "learning_rate": 1.903376479580631e-06, + "loss": 0.6683, + "step": 34226 + }, + { + "epoch": 0.81, + "grad_norm": 1.6096248029749287, + "learning_rate": 1.9029286774309108e-06, + "loss": 0.8245, + "step": 34227 + }, + { + "epoch": 0.81, + "grad_norm": 0.7381917617829225, + "learning_rate": 1.9024809224249052e-06, + "loss": 0.7109, + "step": 34228 + }, + { + "epoch": 0.81, + "grad_norm": 1.626366245588864, + "learning_rate": 1.9020332145652197e-06, + "loss": 0.8218, + "step": 34229 + }, + { + "epoch": 0.81, + "grad_norm": 1.4991318075050868, + "learning_rate": 1.9015855538544592e-06, + "loss": 0.8222, + "step": 34230 + }, + { + "epoch": 0.81, + "grad_norm": 1.5286536068118903, + "learning_rate": 1.90113794029523e-06, + "loss": 0.8262, + "step": 34231 + }, + { + "epoch": 0.81, + "grad_norm": 1.707539108084783, + "learning_rate": 1.9006903738901427e-06, + "loss": 1.0223, + "step": 34232 + }, + { + "epoch": 0.81, + "grad_norm": 0.7528408914627137, + "learning_rate": 1.9002428546418005e-06, + "loss": 0.7486, + "step": 34233 + }, + { + "epoch": 0.81, + "grad_norm": 1.4050030676865095, + "learning_rate": 1.8997953825528071e-06, + "loss": 0.7954, + "step": 34234 + }, + { + "epoch": 0.81, + "grad_norm": 1.6278782952565733, + "learning_rate": 1.8993479576257678e-06, + "loss": 0.6934, + "step": 34235 + }, + { + "epoch": 0.81, + "grad_norm": 1.8167923626684004, + "learning_rate": 1.898900579863293e-06, + "loss": 0.772, + "step": 34236 + }, + { + "epoch": 0.81, + "grad_norm": 1.7060986318828415, + "learning_rate": 1.898453249267983e-06, + "loss": 0.897, + "step": 34237 + }, + { + "epoch": 0.81, + "grad_norm": 1.580588940696066, + "learning_rate": 1.898005965842441e-06, + "loss": 0.8449, + "step": 34238 + }, + { + "epoch": 0.81, + "grad_norm": 1.7514694965618196, + "learning_rate": 1.8975587295892761e-06, + "loss": 0.7639, + "step": 34239 + }, + { + "epoch": 0.81, + "grad_norm": 1.9583963417444041, + "learning_rate": 1.8971115405110863e-06, + "loss": 0.8047, + "step": 34240 + }, + { + "epoch": 0.81, + "grad_norm": 1.8138148795810327, + "learning_rate": 1.8966643986104816e-06, + "loss": 0.9409, + "step": 34241 + }, + { + "epoch": 0.81, + "grad_norm": 0.7658793802621103, + "learning_rate": 1.896217303890059e-06, + "loss": 0.6436, + "step": 34242 + }, + { + "epoch": 0.81, + "grad_norm": 0.8083138464450969, + "learning_rate": 1.8957702563524282e-06, + "loss": 0.6684, + "step": 34243 + }, + { + "epoch": 0.81, + "grad_norm": 1.5630116980841413, + "learning_rate": 1.8953232560001855e-06, + "loss": 0.9292, + "step": 34244 + }, + { + "epoch": 0.81, + "grad_norm": 0.775859600575519, + "learning_rate": 1.8948763028359396e-06, + "loss": 0.7172, + "step": 34245 + }, + { + "epoch": 0.81, + "grad_norm": 2.2922322514658537, + "learning_rate": 1.8944293968622896e-06, + "loss": 0.667, + "step": 34246 + }, + { + "epoch": 0.81, + "grad_norm": 1.816424532286867, + "learning_rate": 1.8939825380818354e-06, + "loss": 0.7843, + "step": 34247 + }, + { + "epoch": 0.81, + "grad_norm": 1.6175835954074576, + "learning_rate": 1.893535726497182e-06, + "loss": 0.7032, + "step": 34248 + }, + { + "epoch": 0.81, + "grad_norm": 1.5066999725916346, + "learning_rate": 1.8930889621109295e-06, + "loss": 0.8227, + "step": 34249 + }, + { + "epoch": 0.81, + "grad_norm": 1.864170133801029, + "learning_rate": 1.8926422449256842e-06, + "loss": 0.9619, + "step": 34250 + }, + { + "epoch": 0.81, + "grad_norm": 1.4728745848579523, + "learning_rate": 1.892195574944038e-06, + "loss": 0.75, + "step": 34251 + }, + { + "epoch": 0.81, + "grad_norm": 1.499878997321908, + "learning_rate": 1.8917489521685961e-06, + "loss": 0.8645, + "step": 34252 + }, + { + "epoch": 0.81, + "grad_norm": 1.7094077087669755, + "learning_rate": 1.891302376601961e-06, + "loss": 0.9301, + "step": 34253 + }, + { + "epoch": 0.81, + "grad_norm": 0.8025246235416489, + "learning_rate": 1.890855848246731e-06, + "loss": 0.7946, + "step": 34254 + }, + { + "epoch": 0.81, + "grad_norm": 1.5549435732250818, + "learning_rate": 1.8904093671055023e-06, + "loss": 0.8917, + "step": 34255 + }, + { + "epoch": 0.81, + "grad_norm": 1.4901220562821185, + "learning_rate": 1.8899629331808788e-06, + "loss": 0.7578, + "step": 34256 + }, + { + "epoch": 0.81, + "grad_norm": 1.5615654583955525, + "learning_rate": 1.8895165464754605e-06, + "loss": 0.6845, + "step": 34257 + }, + { + "epoch": 0.81, + "grad_norm": 1.5203186934613042, + "learning_rate": 1.8890702069918442e-06, + "loss": 0.8822, + "step": 34258 + }, + { + "epoch": 0.81, + "grad_norm": 1.5525138100029152, + "learning_rate": 1.888623914732628e-06, + "loss": 0.8747, + "step": 34259 + }, + { + "epoch": 0.81, + "grad_norm": 1.5999220703762367, + "learning_rate": 1.8881776697004128e-06, + "loss": 0.7616, + "step": 34260 + }, + { + "epoch": 0.81, + "grad_norm": 0.7250769206816612, + "learning_rate": 1.8877314718977923e-06, + "loss": 0.699, + "step": 34261 + }, + { + "epoch": 0.81, + "grad_norm": 1.5467667941615408, + "learning_rate": 1.887285321327369e-06, + "loss": 0.8565, + "step": 34262 + }, + { + "epoch": 0.81, + "grad_norm": 0.7522827817249035, + "learning_rate": 1.8868392179917404e-06, + "loss": 0.6873, + "step": 34263 + }, + { + "epoch": 0.81, + "grad_norm": 1.6728774170414158, + "learning_rate": 1.8863931618935028e-06, + "loss": 1.0395, + "step": 34264 + }, + { + "epoch": 0.81, + "grad_norm": 2.590932712154965, + "learning_rate": 1.8859471530352502e-06, + "loss": 0.9156, + "step": 34265 + }, + { + "epoch": 0.81, + "grad_norm": 1.554066345721741, + "learning_rate": 1.885501191419582e-06, + "loss": 0.9158, + "step": 34266 + }, + { + "epoch": 0.81, + "grad_norm": 1.5044870061265494, + "learning_rate": 1.8850552770491004e-06, + "loss": 0.8652, + "step": 34267 + }, + { + "epoch": 0.81, + "grad_norm": 1.7274104541719264, + "learning_rate": 1.8846094099263911e-06, + "loss": 0.7695, + "step": 34268 + }, + { + "epoch": 0.81, + "grad_norm": 1.6117379948929689, + "learning_rate": 1.8841635900540544e-06, + "loss": 0.9073, + "step": 34269 + }, + { + "epoch": 0.81, + "grad_norm": 1.5386890917741711, + "learning_rate": 1.8837178174346882e-06, + "loss": 0.8977, + "step": 34270 + }, + { + "epoch": 0.81, + "grad_norm": 1.5046798226762512, + "learning_rate": 1.883272092070888e-06, + "loss": 0.8922, + "step": 34271 + }, + { + "epoch": 0.81, + "grad_norm": 1.8416952641180593, + "learning_rate": 1.8828264139652474e-06, + "loss": 0.7758, + "step": 34272 + }, + { + "epoch": 0.81, + "grad_norm": 1.5037812913923736, + "learning_rate": 1.882380783120359e-06, + "loss": 0.8349, + "step": 34273 + }, + { + "epoch": 0.81, + "grad_norm": 1.8110086438328041, + "learning_rate": 1.8819351995388214e-06, + "loss": 0.7798, + "step": 34274 + }, + { + "epoch": 0.81, + "grad_norm": 1.5883912713714072, + "learning_rate": 1.881489663223225e-06, + "loss": 0.8358, + "step": 34275 + }, + { + "epoch": 0.81, + "grad_norm": 1.5901626304573553, + "learning_rate": 1.8810441741761687e-06, + "loss": 0.7346, + "step": 34276 + }, + { + "epoch": 0.81, + "grad_norm": 1.4410686557534518, + "learning_rate": 1.8805987324002418e-06, + "loss": 0.639, + "step": 34277 + }, + { + "epoch": 0.81, + "grad_norm": 1.8901052699629919, + "learning_rate": 1.8801533378980407e-06, + "loss": 0.8384, + "step": 34278 + }, + { + "epoch": 0.81, + "grad_norm": 0.7275922133805204, + "learning_rate": 1.879707990672156e-06, + "loss": 0.7059, + "step": 34279 + }, + { + "epoch": 0.81, + "grad_norm": 1.613397292714456, + "learning_rate": 1.8792626907251855e-06, + "loss": 0.8036, + "step": 34280 + }, + { + "epoch": 0.81, + "grad_norm": 1.5321313858179324, + "learning_rate": 1.878817438059718e-06, + "loss": 0.7466, + "step": 34281 + }, + { + "epoch": 0.81, + "grad_norm": 1.580599584789532, + "learning_rate": 1.8783722326783427e-06, + "loss": 0.889, + "step": 34282 + }, + { + "epoch": 0.81, + "grad_norm": 1.6907451560367226, + "learning_rate": 1.8779270745836576e-06, + "loss": 0.6912, + "step": 34283 + }, + { + "epoch": 0.81, + "grad_norm": 1.600370000198625, + "learning_rate": 1.8774819637782538e-06, + "loss": 0.8259, + "step": 34284 + }, + { + "epoch": 0.81, + "grad_norm": 1.6441748278781951, + "learning_rate": 1.8770369002647215e-06, + "loss": 0.8711, + "step": 34285 + }, + { + "epoch": 0.81, + "grad_norm": 1.6123557975103422, + "learning_rate": 1.87659188404565e-06, + "loss": 0.8487, + "step": 34286 + }, + { + "epoch": 0.81, + "grad_norm": 2.381076544960243, + "learning_rate": 1.8761469151236322e-06, + "loss": 0.8089, + "step": 34287 + }, + { + "epoch": 0.81, + "grad_norm": 1.5134110201749433, + "learning_rate": 1.875701993501261e-06, + "loss": 0.9137, + "step": 34288 + }, + { + "epoch": 0.81, + "grad_norm": 1.66292183288147, + "learning_rate": 1.8752571191811253e-06, + "loss": 0.8152, + "step": 34289 + }, + { + "epoch": 0.81, + "grad_norm": 1.6433239466812697, + "learning_rate": 1.874812292165813e-06, + "loss": 0.8719, + "step": 34290 + }, + { + "epoch": 0.81, + "grad_norm": 1.7098129381746714, + "learning_rate": 1.8743675124579152e-06, + "loss": 0.8639, + "step": 34291 + }, + { + "epoch": 0.81, + "grad_norm": 1.710221305521041, + "learning_rate": 1.8739227800600246e-06, + "loss": 0.6884, + "step": 34292 + }, + { + "epoch": 0.81, + "grad_norm": 1.9708936932640362, + "learning_rate": 1.873478094974729e-06, + "loss": 0.9549, + "step": 34293 + }, + { + "epoch": 0.81, + "grad_norm": 1.4117358440056014, + "learning_rate": 1.8730334572046138e-06, + "loss": 0.9382, + "step": 34294 + }, + { + "epoch": 0.81, + "grad_norm": 1.4880772812876069, + "learning_rate": 1.872588866752273e-06, + "loss": 0.91, + "step": 34295 + }, + { + "epoch": 0.81, + "grad_norm": 2.3286179635532167, + "learning_rate": 1.8721443236202907e-06, + "loss": 0.8535, + "step": 34296 + }, + { + "epoch": 0.81, + "grad_norm": 1.7689722763933524, + "learning_rate": 1.8716998278112597e-06, + "loss": 0.8768, + "step": 34297 + }, + { + "epoch": 0.81, + "grad_norm": 1.7009103439487026, + "learning_rate": 1.8712553793277643e-06, + "loss": 0.8265, + "step": 34298 + }, + { + "epoch": 0.81, + "grad_norm": 1.5911623753023798, + "learning_rate": 1.8708109781723949e-06, + "loss": 0.774, + "step": 34299 + }, + { + "epoch": 0.81, + "grad_norm": 1.5700967675944317, + "learning_rate": 1.8703666243477347e-06, + "loss": 0.8307, + "step": 34300 + }, + { + "epoch": 0.81, + "grad_norm": 1.4577868794689555, + "learning_rate": 1.8699223178563775e-06, + "loss": 0.9407, + "step": 34301 + }, + { + "epoch": 0.81, + "grad_norm": 1.6942411297092255, + "learning_rate": 1.8694780587009065e-06, + "loss": 0.907, + "step": 34302 + }, + { + "epoch": 0.81, + "grad_norm": 1.6168819824533172, + "learning_rate": 1.8690338468839053e-06, + "loss": 0.8646, + "step": 34303 + }, + { + "epoch": 0.81, + "grad_norm": 1.7843955100752626, + "learning_rate": 1.868589682407963e-06, + "loss": 0.8794, + "step": 34304 + }, + { + "epoch": 0.81, + "grad_norm": 1.6262306890244072, + "learning_rate": 1.8681455652756685e-06, + "loss": 0.8216, + "step": 34305 + }, + { + "epoch": 0.81, + "grad_norm": 0.8407058484396797, + "learning_rate": 1.8677014954896055e-06, + "loss": 0.707, + "step": 34306 + }, + { + "epoch": 0.81, + "grad_norm": 1.4907187931885069, + "learning_rate": 1.8672574730523563e-06, + "loss": 0.8125, + "step": 34307 + }, + { + "epoch": 0.81, + "grad_norm": 1.6087152954145167, + "learning_rate": 1.8668134979665086e-06, + "loss": 0.7721, + "step": 34308 + }, + { + "epoch": 0.81, + "grad_norm": 1.758551188800284, + "learning_rate": 1.8663695702346508e-06, + "loss": 0.95, + "step": 34309 + }, + { + "epoch": 0.81, + "grad_norm": 1.9784826789790804, + "learning_rate": 1.8659256898593648e-06, + "loss": 0.7734, + "step": 34310 + }, + { + "epoch": 0.81, + "grad_norm": 1.5309069967423314, + "learning_rate": 1.8654818568432308e-06, + "loss": 0.6518, + "step": 34311 + }, + { + "epoch": 0.81, + "grad_norm": 1.4705614221609262, + "learning_rate": 1.8650380711888372e-06, + "loss": 0.835, + "step": 34312 + }, + { + "epoch": 0.81, + "grad_norm": 0.7700310312132321, + "learning_rate": 1.8645943328987704e-06, + "loss": 0.7125, + "step": 34313 + }, + { + "epoch": 0.81, + "grad_norm": 1.6523352990824887, + "learning_rate": 1.8641506419756105e-06, + "loss": 0.8409, + "step": 34314 + }, + { + "epoch": 0.81, + "grad_norm": 1.684502271024444, + "learning_rate": 1.8637069984219391e-06, + "loss": 0.8402, + "step": 34315 + }, + { + "epoch": 0.81, + "grad_norm": 2.001299813482209, + "learning_rate": 1.863263402240344e-06, + "loss": 0.8598, + "step": 34316 + }, + { + "epoch": 0.81, + "grad_norm": 1.661213536217143, + "learning_rate": 1.862819853433403e-06, + "loss": 0.7383, + "step": 34317 + }, + { + "epoch": 0.81, + "grad_norm": 1.55930666172582, + "learning_rate": 1.862376352003703e-06, + "loss": 0.7784, + "step": 34318 + }, + { + "epoch": 0.81, + "grad_norm": 1.5195293930996652, + "learning_rate": 1.8619328979538221e-06, + "loss": 0.8673, + "step": 34319 + }, + { + "epoch": 0.81, + "grad_norm": 1.656678543108583, + "learning_rate": 1.8614894912863469e-06, + "loss": 0.8884, + "step": 34320 + }, + { + "epoch": 0.81, + "grad_norm": 1.6178432844964428, + "learning_rate": 1.8610461320038541e-06, + "loss": 0.9511, + "step": 34321 + }, + { + "epoch": 0.81, + "grad_norm": 1.642411674423005, + "learning_rate": 1.8606028201089298e-06, + "loss": 0.9971, + "step": 34322 + }, + { + "epoch": 0.81, + "grad_norm": 1.7458525489459111, + "learning_rate": 1.860159555604153e-06, + "loss": 0.9115, + "step": 34323 + }, + { + "epoch": 0.81, + "grad_norm": 1.5842136661085202, + "learning_rate": 1.8597163384921013e-06, + "loss": 0.8488, + "step": 34324 + }, + { + "epoch": 0.81, + "grad_norm": 1.7072586557611942, + "learning_rate": 1.8592731687753585e-06, + "loss": 0.8953, + "step": 34325 + }, + { + "epoch": 0.81, + "grad_norm": 1.7374362648131805, + "learning_rate": 1.8588300464565068e-06, + "loss": 0.8863, + "step": 34326 + }, + { + "epoch": 0.81, + "grad_norm": 1.4459835017226599, + "learning_rate": 1.8583869715381242e-06, + "loss": 0.7983, + "step": 34327 + }, + { + "epoch": 0.81, + "grad_norm": 1.459929296539786, + "learning_rate": 1.8579439440227886e-06, + "loss": 0.9206, + "step": 34328 + }, + { + "epoch": 0.81, + "grad_norm": 1.447364774312403, + "learning_rate": 1.8575009639130803e-06, + "loss": 0.9147, + "step": 34329 + }, + { + "epoch": 0.81, + "grad_norm": 0.7735493328248678, + "learning_rate": 1.8570580312115815e-06, + "loss": 0.7304, + "step": 34330 + }, + { + "epoch": 0.81, + "grad_norm": 1.6626758615163073, + "learning_rate": 1.8566151459208692e-06, + "loss": 0.7867, + "step": 34331 + }, + { + "epoch": 0.81, + "grad_norm": 1.5212378276693572, + "learning_rate": 1.856172308043519e-06, + "loss": 0.7855, + "step": 34332 + }, + { + "epoch": 0.81, + "grad_norm": 1.5366827313683, + "learning_rate": 1.855729517582112e-06, + "loss": 0.8573, + "step": 34333 + }, + { + "epoch": 0.81, + "grad_norm": 1.6373730140035607, + "learning_rate": 1.855286774539229e-06, + "loss": 0.8358, + "step": 34334 + }, + { + "epoch": 0.81, + "grad_norm": 1.4373489685947571, + "learning_rate": 1.854844078917445e-06, + "loss": 0.895, + "step": 34335 + }, + { + "epoch": 0.81, + "grad_norm": 1.5337818604340527, + "learning_rate": 1.8544014307193348e-06, + "loss": 0.7486, + "step": 34336 + }, + { + "epoch": 0.81, + "grad_norm": 1.8122187500570042, + "learning_rate": 1.8539588299474775e-06, + "loss": 0.8118, + "step": 34337 + }, + { + "epoch": 0.81, + "grad_norm": 1.4393325287327123, + "learning_rate": 1.8535162766044544e-06, + "loss": 0.8345, + "step": 34338 + }, + { + "epoch": 0.81, + "grad_norm": 1.6950406273381358, + "learning_rate": 1.853073770692838e-06, + "loss": 0.9374, + "step": 34339 + }, + { + "epoch": 0.81, + "grad_norm": 1.8726662106904548, + "learning_rate": 1.852631312215204e-06, + "loss": 0.9933, + "step": 34340 + }, + { + "epoch": 0.81, + "grad_norm": 1.4937484435713437, + "learning_rate": 1.8521889011741312e-06, + "loss": 0.7675, + "step": 34341 + }, + { + "epoch": 0.81, + "grad_norm": 1.5485149160207363, + "learning_rate": 1.851746537572192e-06, + "loss": 0.9311, + "step": 34342 + }, + { + "epoch": 0.81, + "grad_norm": 1.6422364496551676, + "learning_rate": 1.8513042214119669e-06, + "loss": 0.868, + "step": 34343 + }, + { + "epoch": 0.81, + "grad_norm": 1.7897154590134268, + "learning_rate": 1.8508619526960258e-06, + "loss": 0.8938, + "step": 34344 + }, + { + "epoch": 0.81, + "grad_norm": 1.475037209232914, + "learning_rate": 1.850419731426949e-06, + "loss": 0.7653, + "step": 34345 + }, + { + "epoch": 0.81, + "grad_norm": 1.5591627236211825, + "learning_rate": 1.8499775576073064e-06, + "loss": 0.8856, + "step": 34346 + }, + { + "epoch": 0.81, + "grad_norm": 2.043286089785884, + "learning_rate": 1.849535431239674e-06, + "loss": 0.8711, + "step": 34347 + }, + { + "epoch": 0.81, + "grad_norm": 1.6654115279508817, + "learning_rate": 1.8490933523266318e-06, + "loss": 0.7778, + "step": 34348 + }, + { + "epoch": 0.81, + "grad_norm": 1.6610638206882882, + "learning_rate": 1.8486513208707446e-06, + "loss": 0.7917, + "step": 34349 + }, + { + "epoch": 0.81, + "grad_norm": 1.7802843200389689, + "learning_rate": 1.848209336874589e-06, + "loss": 0.9543, + "step": 34350 + }, + { + "epoch": 0.81, + "grad_norm": 1.548036072290487, + "learning_rate": 1.8477674003407398e-06, + "loss": 0.9136, + "step": 34351 + }, + { + "epoch": 0.81, + "grad_norm": 1.5682350757589272, + "learning_rate": 1.8473255112717747e-06, + "loss": 0.7589, + "step": 34352 + }, + { + "epoch": 0.81, + "grad_norm": 1.5096320092231763, + "learning_rate": 1.8468836696702574e-06, + "loss": 0.8683, + "step": 34353 + }, + { + "epoch": 0.81, + "grad_norm": 3.0952406967500288, + "learning_rate": 1.8464418755387635e-06, + "loss": 0.7423, + "step": 34354 + }, + { + "epoch": 0.81, + "grad_norm": 1.623886583913754, + "learning_rate": 1.846000128879869e-06, + "loss": 0.8324, + "step": 34355 + }, + { + "epoch": 0.81, + "grad_norm": 2.550087203389436, + "learning_rate": 1.8455584296961415e-06, + "loss": 0.8662, + "step": 34356 + }, + { + "epoch": 0.81, + "grad_norm": 1.7041327979680525, + "learning_rate": 1.8451167779901568e-06, + "loss": 0.6943, + "step": 34357 + }, + { + "epoch": 0.81, + "grad_norm": 1.6079906035840852, + "learning_rate": 1.8446751737644808e-06, + "loss": 0.7528, + "step": 34358 + }, + { + "epoch": 0.81, + "grad_norm": 1.4465838036358603, + "learning_rate": 1.8442336170216912e-06, + "loss": 0.831, + "step": 34359 + }, + { + "epoch": 0.81, + "grad_norm": 1.5113837949316773, + "learning_rate": 1.8437921077643516e-06, + "loss": 0.8437, + "step": 34360 + }, + { + "epoch": 0.81, + "grad_norm": 1.4578339018440913, + "learning_rate": 1.8433506459950412e-06, + "loss": 0.8092, + "step": 34361 + }, + { + "epoch": 0.81, + "grad_norm": 1.884566526338616, + "learning_rate": 1.8429092317163244e-06, + "loss": 0.6127, + "step": 34362 + }, + { + "epoch": 0.81, + "grad_norm": 1.811761207043115, + "learning_rate": 1.8424678649307702e-06, + "loss": 0.9317, + "step": 34363 + }, + { + "epoch": 0.81, + "grad_norm": 1.4568161824265946, + "learning_rate": 1.8420265456409502e-06, + "loss": 0.7426, + "step": 34364 + }, + { + "epoch": 0.81, + "grad_norm": 2.0983919831999325, + "learning_rate": 1.8415852738494378e-06, + "loss": 0.9267, + "step": 34365 + }, + { + "epoch": 0.81, + "grad_norm": 1.472722862968552, + "learning_rate": 1.8411440495587985e-06, + "loss": 0.9875, + "step": 34366 + }, + { + "epoch": 0.81, + "grad_norm": 1.8787456573811019, + "learning_rate": 1.8407028727715992e-06, + "loss": 0.7885, + "step": 34367 + }, + { + "epoch": 0.81, + "grad_norm": 0.8229431661947068, + "learning_rate": 1.8402617434904103e-06, + "loss": 0.7441, + "step": 34368 + }, + { + "epoch": 0.81, + "grad_norm": 0.753618290017804, + "learning_rate": 1.839820661717804e-06, + "loss": 0.728, + "step": 34369 + }, + { + "epoch": 0.81, + "grad_norm": 0.743642032133667, + "learning_rate": 1.8393796274563458e-06, + "loss": 0.6837, + "step": 34370 + }, + { + "epoch": 0.81, + "grad_norm": 1.4642035648237253, + "learning_rate": 1.8389386407085997e-06, + "loss": 0.9242, + "step": 34371 + }, + { + "epoch": 0.81, + "grad_norm": 1.4857305254368198, + "learning_rate": 1.8384977014771365e-06, + "loss": 0.7334, + "step": 34372 + }, + { + "epoch": 0.81, + "grad_norm": 1.600115719974973, + "learning_rate": 1.8380568097645268e-06, + "loss": 0.7878, + "step": 34373 + }, + { + "epoch": 0.81, + "grad_norm": 1.5679885381784058, + "learning_rate": 1.837615965573334e-06, + "loss": 0.8332, + "step": 34374 + }, + { + "epoch": 0.81, + "grad_norm": 1.4565168963700235, + "learning_rate": 1.8371751689061223e-06, + "loss": 0.7632, + "step": 34375 + }, + { + "epoch": 0.81, + "grad_norm": 1.5511076670396737, + "learning_rate": 1.8367344197654647e-06, + "loss": 0.9497, + "step": 34376 + }, + { + "epoch": 0.81, + "grad_norm": 1.5253655488298175, + "learning_rate": 1.8362937181539198e-06, + "loss": 0.6618, + "step": 34377 + }, + { + "epoch": 0.81, + "grad_norm": 2.0822370733821796, + "learning_rate": 1.8358530640740612e-06, + "loss": 0.8161, + "step": 34378 + }, + { + "epoch": 0.81, + "grad_norm": 1.542377344286076, + "learning_rate": 1.8354124575284471e-06, + "loss": 0.7901, + "step": 34379 + }, + { + "epoch": 0.81, + "grad_norm": 1.7545943236674664, + "learning_rate": 1.8349718985196496e-06, + "loss": 0.7709, + "step": 34380 + }, + { + "epoch": 0.81, + "grad_norm": 1.5080571717112654, + "learning_rate": 1.834531387050229e-06, + "loss": 0.7217, + "step": 34381 + }, + { + "epoch": 0.81, + "grad_norm": 0.7629984787042621, + "learning_rate": 1.8340909231227532e-06, + "loss": 0.7112, + "step": 34382 + }, + { + "epoch": 0.81, + "grad_norm": 1.847249095869871, + "learning_rate": 1.8336505067397858e-06, + "loss": 0.8968, + "step": 34383 + }, + { + "epoch": 0.81, + "grad_norm": 1.6781510401140904, + "learning_rate": 1.833210137903888e-06, + "loss": 0.9825, + "step": 34384 + }, + { + "epoch": 0.81, + "grad_norm": 1.5471424506906863, + "learning_rate": 1.8327698166176266e-06, + "loss": 0.8892, + "step": 34385 + }, + { + "epoch": 0.81, + "grad_norm": 1.8709685752189815, + "learning_rate": 1.8323295428835674e-06, + "loss": 0.792, + "step": 34386 + }, + { + "epoch": 0.81, + "grad_norm": 1.5515669974287896, + "learning_rate": 1.8318893167042717e-06, + "loss": 0.9376, + "step": 34387 + }, + { + "epoch": 0.81, + "grad_norm": 1.5462012827385887, + "learning_rate": 1.8314491380822985e-06, + "loss": 0.9027, + "step": 34388 + }, + { + "epoch": 0.81, + "grad_norm": 1.9464637480837728, + "learning_rate": 1.8310090070202158e-06, + "loss": 0.8631, + "step": 34389 + }, + { + "epoch": 0.81, + "grad_norm": 2.199587729443989, + "learning_rate": 1.830568923520587e-06, + "loss": 0.8105, + "step": 34390 + }, + { + "epoch": 0.81, + "grad_norm": 1.5472501083358972, + "learning_rate": 1.8301288875859724e-06, + "loss": 0.8306, + "step": 34391 + }, + { + "epoch": 0.81, + "grad_norm": 1.3823350998708934, + "learning_rate": 1.829688899218932e-06, + "loss": 0.8284, + "step": 34392 + }, + { + "epoch": 0.81, + "grad_norm": 2.033636931311446, + "learning_rate": 1.8292489584220286e-06, + "loss": 0.8272, + "step": 34393 + }, + { + "epoch": 0.81, + "grad_norm": 1.6003453647659591, + "learning_rate": 1.8288090651978274e-06, + "loss": 0.7955, + "step": 34394 + }, + { + "epoch": 0.81, + "grad_norm": 2.003056245784043, + "learning_rate": 1.8283692195488877e-06, + "loss": 0.8808, + "step": 34395 + }, + { + "epoch": 0.81, + "grad_norm": 0.7288977960319126, + "learning_rate": 1.8279294214777653e-06, + "loss": 0.6903, + "step": 34396 + }, + { + "epoch": 0.81, + "grad_norm": 1.3508700023699778, + "learning_rate": 1.8274896709870294e-06, + "loss": 0.6931, + "step": 34397 + }, + { + "epoch": 0.81, + "grad_norm": 1.634529591245397, + "learning_rate": 1.827049968079232e-06, + "loss": 0.8463, + "step": 34398 + }, + { + "epoch": 0.81, + "grad_norm": 2.028751086732328, + "learning_rate": 1.8266103127569401e-06, + "loss": 0.8615, + "step": 34399 + }, + { + "epoch": 0.81, + "grad_norm": 1.5599374431930089, + "learning_rate": 1.8261707050227084e-06, + "loss": 0.7707, + "step": 34400 + }, + { + "epoch": 0.81, + "grad_norm": 1.629082254150847, + "learning_rate": 1.8257311448791015e-06, + "loss": 0.7488, + "step": 34401 + }, + { + "epoch": 0.81, + "grad_norm": 1.3951579400131469, + "learning_rate": 1.825291632328673e-06, + "loss": 0.8526, + "step": 34402 + }, + { + "epoch": 0.81, + "grad_norm": 1.9581342133428428, + "learning_rate": 1.8248521673739872e-06, + "loss": 0.8514, + "step": 34403 + }, + { + "epoch": 0.81, + "grad_norm": 1.6984498135347144, + "learning_rate": 1.8244127500176e-06, + "loss": 0.7392, + "step": 34404 + }, + { + "epoch": 0.81, + "grad_norm": 1.5970057876115669, + "learning_rate": 1.8239733802620674e-06, + "loss": 0.9457, + "step": 34405 + }, + { + "epoch": 0.81, + "grad_norm": 1.639024443302211, + "learning_rate": 1.8235340581099503e-06, + "loss": 0.8834, + "step": 34406 + }, + { + "epoch": 0.81, + "grad_norm": 1.7154049113023646, + "learning_rate": 1.823094783563809e-06, + "loss": 0.9387, + "step": 34407 + }, + { + "epoch": 0.81, + "grad_norm": 1.494193319952871, + "learning_rate": 1.8226555566261995e-06, + "loss": 0.8575, + "step": 34408 + }, + { + "epoch": 0.81, + "grad_norm": 1.5520066679511917, + "learning_rate": 1.8222163772996749e-06, + "loss": 0.773, + "step": 34409 + }, + { + "epoch": 0.81, + "grad_norm": 1.6055396367394206, + "learning_rate": 1.8217772455867965e-06, + "loss": 0.8369, + "step": 34410 + }, + { + "epoch": 0.81, + "grad_norm": 1.6172958938926758, + "learning_rate": 1.8213381614901215e-06, + "loss": 0.8274, + "step": 34411 + }, + { + "epoch": 0.81, + "grad_norm": 1.7214777896925888, + "learning_rate": 1.8208991250122054e-06, + "loss": 0.8196, + "step": 34412 + }, + { + "epoch": 0.81, + "grad_norm": 1.9825663421166249, + "learning_rate": 1.8204601361556019e-06, + "loss": 0.8318, + "step": 34413 + }, + { + "epoch": 0.81, + "grad_norm": 3.410746119006178, + "learning_rate": 1.8200211949228686e-06, + "loss": 0.8657, + "step": 34414 + }, + { + "epoch": 0.81, + "grad_norm": 1.4070623318208715, + "learning_rate": 1.8195823013165648e-06, + "loss": 0.9394, + "step": 34415 + }, + { + "epoch": 0.81, + "grad_norm": 1.8173023321326935, + "learning_rate": 1.819143455339243e-06, + "loss": 0.8203, + "step": 34416 + }, + { + "epoch": 0.81, + "grad_norm": 1.5079947701205314, + "learning_rate": 1.818704656993454e-06, + "loss": 0.8158, + "step": 34417 + }, + { + "epoch": 0.81, + "grad_norm": 1.6039168390285035, + "learning_rate": 1.8182659062817609e-06, + "loss": 0.8822, + "step": 34418 + }, + { + "epoch": 0.81, + "grad_norm": 1.617077647284175, + "learning_rate": 1.8178272032067102e-06, + "loss": 0.8821, + "step": 34419 + }, + { + "epoch": 0.81, + "grad_norm": 1.4881054086477763, + "learning_rate": 1.8173885477708631e-06, + "loss": 0.9586, + "step": 34420 + }, + { + "epoch": 0.81, + "grad_norm": 0.7499720906535341, + "learning_rate": 1.8169499399767676e-06, + "loss": 0.7047, + "step": 34421 + }, + { + "epoch": 0.81, + "grad_norm": 1.4886907466821728, + "learning_rate": 1.8165113798269828e-06, + "loss": 0.8392, + "step": 34422 + }, + { + "epoch": 0.81, + "grad_norm": 1.62015558373562, + "learning_rate": 1.8160728673240568e-06, + "loss": 0.7582, + "step": 34423 + }, + { + "epoch": 0.81, + "grad_norm": 1.5753379080335723, + "learning_rate": 1.8156344024705485e-06, + "loss": 0.9096, + "step": 34424 + }, + { + "epoch": 0.81, + "grad_norm": 1.7727140091291635, + "learning_rate": 1.8151959852690083e-06, + "loss": 0.899, + "step": 34425 + }, + { + "epoch": 0.81, + "grad_norm": 1.7368938274892796, + "learning_rate": 1.814757615721985e-06, + "loss": 0.788, + "step": 34426 + }, + { + "epoch": 0.81, + "grad_norm": 1.55753086876335, + "learning_rate": 1.8143192938320353e-06, + "loss": 0.8143, + "step": 34427 + }, + { + "epoch": 0.81, + "grad_norm": 1.5023870494530598, + "learning_rate": 1.813881019601712e-06, + "loss": 0.7443, + "step": 34428 + }, + { + "epoch": 0.81, + "grad_norm": 1.3909678043757936, + "learning_rate": 1.8134427930335651e-06, + "loss": 0.8518, + "step": 34429 + }, + { + "epoch": 0.81, + "grad_norm": 2.3395573511972665, + "learning_rate": 1.8130046141301426e-06, + "loss": 0.6806, + "step": 34430 + }, + { + "epoch": 0.81, + "grad_norm": 1.5435506400987227, + "learning_rate": 1.8125664828940005e-06, + "loss": 0.8132, + "step": 34431 + }, + { + "epoch": 0.81, + "grad_norm": 1.8181188473237213, + "learning_rate": 1.8121283993276906e-06, + "loss": 0.8665, + "step": 34432 + }, + { + "epoch": 0.81, + "grad_norm": 1.5979726307686177, + "learning_rate": 1.8116903634337612e-06, + "loss": 0.7908, + "step": 34433 + }, + { + "epoch": 0.81, + "grad_norm": 1.5414446411016918, + "learning_rate": 1.8112523752147615e-06, + "loss": 0.7859, + "step": 34434 + }, + { + "epoch": 0.81, + "grad_norm": 1.5647239883845852, + "learning_rate": 1.8108144346732414e-06, + "loss": 0.8091, + "step": 34435 + }, + { + "epoch": 0.81, + "grad_norm": 1.675870754630046, + "learning_rate": 1.810376541811756e-06, + "loss": 0.8766, + "step": 34436 + }, + { + "epoch": 0.81, + "grad_norm": 1.678545806915165, + "learning_rate": 1.8099386966328503e-06, + "loss": 0.7057, + "step": 34437 + }, + { + "epoch": 0.81, + "grad_norm": 2.2279323653490084, + "learning_rate": 1.8095008991390728e-06, + "loss": 0.8314, + "step": 34438 + }, + { + "epoch": 0.81, + "grad_norm": 1.9398614232241806, + "learning_rate": 1.8090631493329759e-06, + "loss": 0.7459, + "step": 34439 + }, + { + "epoch": 0.81, + "grad_norm": 0.7386809312950142, + "learning_rate": 1.8086254472171039e-06, + "loss": 0.728, + "step": 34440 + }, + { + "epoch": 0.81, + "grad_norm": 1.478435093782218, + "learning_rate": 1.8081877927940107e-06, + "loss": 0.9723, + "step": 34441 + }, + { + "epoch": 0.81, + "grad_norm": 1.4605021566791208, + "learning_rate": 1.8077501860662395e-06, + "loss": 0.7576, + "step": 34442 + }, + { + "epoch": 0.81, + "grad_norm": 1.8711119859615364, + "learning_rate": 1.8073126270363428e-06, + "loss": 0.8333, + "step": 34443 + }, + { + "epoch": 0.81, + "grad_norm": 1.9201149635112413, + "learning_rate": 1.8068751157068632e-06, + "loss": 0.6869, + "step": 34444 + }, + { + "epoch": 0.81, + "grad_norm": 0.7804392457114592, + "learning_rate": 1.8064376520803495e-06, + "loss": 0.6983, + "step": 34445 + }, + { + "epoch": 0.81, + "grad_norm": 2.3742570419617097, + "learning_rate": 1.8060002361593565e-06, + "loss": 0.8209, + "step": 34446 + }, + { + "epoch": 0.81, + "grad_norm": 0.7891927475479799, + "learning_rate": 1.8055628679464177e-06, + "loss": 0.6735, + "step": 34447 + }, + { + "epoch": 0.81, + "grad_norm": 0.7700366764088963, + "learning_rate": 1.8051255474440876e-06, + "loss": 0.6479, + "step": 34448 + }, + { + "epoch": 0.81, + "grad_norm": 1.89827931916302, + "learning_rate": 1.8046882746549099e-06, + "loss": 0.8504, + "step": 34449 + }, + { + "epoch": 0.81, + "grad_norm": 0.838259376981991, + "learning_rate": 1.8042510495814369e-06, + "loss": 0.7095, + "step": 34450 + }, + { + "epoch": 0.81, + "grad_norm": 1.525406138804314, + "learning_rate": 1.8038138722262045e-06, + "loss": 0.8672, + "step": 34451 + }, + { + "epoch": 0.81, + "grad_norm": 1.4814521221873185, + "learning_rate": 1.8033767425917625e-06, + "loss": 0.7103, + "step": 34452 + }, + { + "epoch": 0.81, + "grad_norm": 1.6073447256546165, + "learning_rate": 1.802939660680656e-06, + "loss": 0.8516, + "step": 34453 + }, + { + "epoch": 0.81, + "grad_norm": 0.7418601826777083, + "learning_rate": 1.8025026264954326e-06, + "loss": 0.6723, + "step": 34454 + }, + { + "epoch": 0.81, + "grad_norm": 1.7186571765178786, + "learning_rate": 1.8020656400386338e-06, + "loss": 0.858, + "step": 34455 + }, + { + "epoch": 0.81, + "grad_norm": 1.5626522983334339, + "learning_rate": 1.801628701312802e-06, + "loss": 0.9465, + "step": 34456 + }, + { + "epoch": 0.81, + "grad_norm": 1.4649000089888662, + "learning_rate": 1.801191810320486e-06, + "loss": 0.9394, + "step": 34457 + }, + { + "epoch": 0.81, + "grad_norm": 1.8309454607015558, + "learning_rate": 1.8007549670642244e-06, + "loss": 0.9089, + "step": 34458 + }, + { + "epoch": 0.81, + "grad_norm": 1.5724071169502893, + "learning_rate": 1.8003181715465657e-06, + "loss": 0.8824, + "step": 34459 + }, + { + "epoch": 0.81, + "grad_norm": 1.4670254507650038, + "learning_rate": 1.799881423770049e-06, + "loss": 0.8553, + "step": 34460 + }, + { + "epoch": 0.81, + "grad_norm": 1.531121478819501, + "learning_rate": 1.7994447237372204e-06, + "loss": 0.8196, + "step": 34461 + }, + { + "epoch": 0.81, + "grad_norm": 0.752089539568956, + "learning_rate": 1.7990080714506175e-06, + "loss": 0.7073, + "step": 34462 + }, + { + "epoch": 0.81, + "grad_norm": 2.0721697383737596, + "learning_rate": 1.7985714669127897e-06, + "loss": 0.9613, + "step": 34463 + }, + { + "epoch": 0.81, + "grad_norm": 1.9842786274504103, + "learning_rate": 1.7981349101262746e-06, + "loss": 0.8041, + "step": 34464 + }, + { + "epoch": 0.81, + "grad_norm": 1.6480048678150365, + "learning_rate": 1.7976984010936128e-06, + "loss": 0.8105, + "step": 34465 + }, + { + "epoch": 0.81, + "grad_norm": 2.4573114987409945, + "learning_rate": 1.7972619398173474e-06, + "loss": 0.9498, + "step": 34466 + }, + { + "epoch": 0.81, + "grad_norm": 2.0520412088153286, + "learning_rate": 1.7968255263000235e-06, + "loss": 0.9107, + "step": 34467 + }, + { + "epoch": 0.81, + "grad_norm": 1.731580664063065, + "learning_rate": 1.7963891605441775e-06, + "loss": 0.884, + "step": 34468 + }, + { + "epoch": 0.81, + "grad_norm": 1.8149690400807, + "learning_rate": 1.7959528425523488e-06, + "loss": 0.7947, + "step": 34469 + }, + { + "epoch": 0.81, + "grad_norm": 1.4739852947085437, + "learning_rate": 1.7955165723270796e-06, + "loss": 0.8119, + "step": 34470 + }, + { + "epoch": 0.81, + "grad_norm": 0.7637967503550879, + "learning_rate": 1.7950803498709124e-06, + "loss": 0.7042, + "step": 34471 + }, + { + "epoch": 0.81, + "grad_norm": 1.6666112183294834, + "learning_rate": 1.7946441751863864e-06, + "loss": 0.711, + "step": 34472 + }, + { + "epoch": 0.81, + "grad_norm": 1.8333060413077464, + "learning_rate": 1.794208048276036e-06, + "loss": 0.7314, + "step": 34473 + }, + { + "epoch": 0.81, + "grad_norm": 0.7513593901571609, + "learning_rate": 1.793771969142405e-06, + "loss": 0.7265, + "step": 34474 + }, + { + "epoch": 0.81, + "grad_norm": 1.648882075251698, + "learning_rate": 1.7933359377880344e-06, + "loss": 0.912, + "step": 34475 + }, + { + "epoch": 0.81, + "grad_norm": 1.6371708139437702, + "learning_rate": 1.79289995421546e-06, + "loss": 0.8562, + "step": 34476 + }, + { + "epoch": 0.81, + "grad_norm": 1.55439224055385, + "learning_rate": 1.7924640184272169e-06, + "loss": 0.7396, + "step": 34477 + }, + { + "epoch": 0.81, + "grad_norm": 1.8214169817360752, + "learning_rate": 1.7920281304258502e-06, + "loss": 0.8036, + "step": 34478 + }, + { + "epoch": 0.81, + "grad_norm": 1.5580778454413826, + "learning_rate": 1.7915922902138916e-06, + "loss": 0.8256, + "step": 34479 + }, + { + "epoch": 0.81, + "grad_norm": 1.8397082159096296, + "learning_rate": 1.7911564977938845e-06, + "loss": 0.822, + "step": 34480 + }, + { + "epoch": 0.81, + "grad_norm": 0.7688270276839148, + "learning_rate": 1.7907207531683601e-06, + "loss": 0.7086, + "step": 34481 + }, + { + "epoch": 0.81, + "grad_norm": 2.1732454256384335, + "learning_rate": 1.790285056339861e-06, + "loss": 0.7131, + "step": 34482 + }, + { + "epoch": 0.81, + "grad_norm": 1.3944573742635178, + "learning_rate": 1.7898494073109184e-06, + "loss": 0.76, + "step": 34483 + }, + { + "epoch": 0.81, + "grad_norm": 0.8344550553603444, + "learning_rate": 1.7894138060840749e-06, + "loss": 0.7071, + "step": 34484 + }, + { + "epoch": 0.81, + "grad_norm": 1.5466657709879832, + "learning_rate": 1.7889782526618637e-06, + "loss": 0.7583, + "step": 34485 + }, + { + "epoch": 0.81, + "grad_norm": 1.5436563447606118, + "learning_rate": 1.7885427470468185e-06, + "loss": 0.8678, + "step": 34486 + }, + { + "epoch": 0.81, + "grad_norm": 1.6184965937790254, + "learning_rate": 1.7881072892414763e-06, + "loss": 0.7642, + "step": 34487 + }, + { + "epoch": 0.81, + "grad_norm": 1.7923931114112994, + "learning_rate": 1.7876718792483772e-06, + "loss": 0.672, + "step": 34488 + }, + { + "epoch": 0.81, + "grad_norm": 1.6620979146892894, + "learning_rate": 1.7872365170700511e-06, + "loss": 0.8965, + "step": 34489 + }, + { + "epoch": 0.81, + "grad_norm": 1.5156362552699592, + "learning_rate": 1.786801202709032e-06, + "loss": 0.8985, + "step": 34490 + }, + { + "epoch": 0.81, + "grad_norm": 1.7131493093344314, + "learning_rate": 1.7863659361678566e-06, + "loss": 0.8446, + "step": 34491 + }, + { + "epoch": 0.81, + "grad_norm": 0.711062496183376, + "learning_rate": 1.7859307174490614e-06, + "loss": 0.6831, + "step": 34492 + }, + { + "epoch": 0.81, + "grad_norm": 1.5579075595888414, + "learning_rate": 1.7854955465551783e-06, + "loss": 0.8813, + "step": 34493 + }, + { + "epoch": 0.81, + "grad_norm": 1.4820139838202586, + "learning_rate": 1.7850604234887382e-06, + "loss": 0.9163, + "step": 34494 + }, + { + "epoch": 0.81, + "grad_norm": 1.8036969722261127, + "learning_rate": 1.7846253482522768e-06, + "loss": 0.869, + "step": 34495 + }, + { + "epoch": 0.81, + "grad_norm": 1.8325672807299243, + "learning_rate": 1.7841903208483302e-06, + "loss": 0.8023, + "step": 34496 + }, + { + "epoch": 0.81, + "grad_norm": 1.7247482140100048, + "learning_rate": 1.7837553412794295e-06, + "loss": 0.9976, + "step": 34497 + }, + { + "epoch": 0.81, + "grad_norm": 1.7772566878661311, + "learning_rate": 1.7833204095481027e-06, + "loss": 0.7923, + "step": 34498 + }, + { + "epoch": 0.81, + "grad_norm": 1.4660274701650975, + "learning_rate": 1.7828855256568889e-06, + "loss": 0.796, + "step": 34499 + }, + { + "epoch": 0.81, + "grad_norm": 1.8015291703245468, + "learning_rate": 1.782450689608315e-06, + "loss": 0.7317, + "step": 34500 + }, + { + "epoch": 0.81, + "grad_norm": 1.624467816514216, + "learning_rate": 1.7820159014049165e-06, + "loss": 0.8433, + "step": 34501 + }, + { + "epoch": 0.81, + "grad_norm": 1.5444248549079658, + "learning_rate": 1.7815811610492217e-06, + "loss": 0.882, + "step": 34502 + }, + { + "epoch": 0.81, + "grad_norm": 0.7302934592785746, + "learning_rate": 1.781146468543765e-06, + "loss": 0.6913, + "step": 34503 + }, + { + "epoch": 0.81, + "grad_norm": 1.8892229516960228, + "learning_rate": 1.7807118238910725e-06, + "loss": 0.7541, + "step": 34504 + }, + { + "epoch": 0.81, + "grad_norm": 1.5434001727456306, + "learning_rate": 1.7802772270936818e-06, + "loss": 0.9033, + "step": 34505 + }, + { + "epoch": 0.81, + "grad_norm": 1.5289408453870752, + "learning_rate": 1.779842678154119e-06, + "loss": 0.6692, + "step": 34506 + }, + { + "epoch": 0.81, + "grad_norm": 1.7170574090021296, + "learning_rate": 1.7794081770749116e-06, + "loss": 0.9521, + "step": 34507 + }, + { + "epoch": 0.81, + "grad_norm": 1.7292554905475523, + "learning_rate": 1.7789737238585925e-06, + "loss": 0.8021, + "step": 34508 + }, + { + "epoch": 0.81, + "grad_norm": 1.5295948617891897, + "learning_rate": 1.7785393185076939e-06, + "loss": 0.8038, + "step": 34509 + }, + { + "epoch": 0.81, + "grad_norm": 1.4907345828515732, + "learning_rate": 1.7781049610247425e-06, + "loss": 0.8663, + "step": 34510 + }, + { + "epoch": 0.81, + "grad_norm": 1.742557126557966, + "learning_rate": 1.7776706514122644e-06, + "loss": 0.8931, + "step": 34511 + }, + { + "epoch": 0.81, + "grad_norm": 1.4599223989404584, + "learning_rate": 1.7772363896727907e-06, + "loss": 0.9067, + "step": 34512 + }, + { + "epoch": 0.81, + "grad_norm": 1.4781963545468577, + "learning_rate": 1.7768021758088517e-06, + "loss": 0.6884, + "step": 34513 + }, + { + "epoch": 0.81, + "grad_norm": 1.4311682591794646, + "learning_rate": 1.7763680098229752e-06, + "loss": 0.9999, + "step": 34514 + }, + { + "epoch": 0.81, + "grad_norm": 1.6053678568682608, + "learning_rate": 1.775933891717685e-06, + "loss": 0.7963, + "step": 34515 + }, + { + "epoch": 0.81, + "grad_norm": 1.719119878902611, + "learning_rate": 1.775499821495511e-06, + "loss": 0.8127, + "step": 34516 + }, + { + "epoch": 0.81, + "grad_norm": 1.974804098725573, + "learning_rate": 1.7750657991589827e-06, + "loss": 0.8999, + "step": 34517 + }, + { + "epoch": 0.81, + "grad_norm": 1.7547221295296362, + "learning_rate": 1.7746318247106265e-06, + "loss": 0.8471, + "step": 34518 + }, + { + "epoch": 0.81, + "grad_norm": 0.7581893608144954, + "learning_rate": 1.7741978981529651e-06, + "loss": 0.6964, + "step": 34519 + }, + { + "epoch": 0.81, + "grad_norm": 1.807006855554728, + "learning_rate": 1.7737640194885297e-06, + "loss": 0.8351, + "step": 34520 + }, + { + "epoch": 0.81, + "grad_norm": 1.772729275032229, + "learning_rate": 1.773330188719843e-06, + "loss": 0.9685, + "step": 34521 + }, + { + "epoch": 0.81, + "grad_norm": 1.6806743924276761, + "learning_rate": 1.7728964058494336e-06, + "loss": 0.7706, + "step": 34522 + }, + { + "epoch": 0.81, + "grad_norm": 1.4829649976324755, + "learning_rate": 1.7724626708798253e-06, + "loss": 0.8142, + "step": 34523 + }, + { + "epoch": 0.81, + "grad_norm": 1.7433314147090295, + "learning_rate": 1.7720289838135452e-06, + "loss": 0.9078, + "step": 34524 + }, + { + "epoch": 0.81, + "grad_norm": 1.5157089797345427, + "learning_rate": 1.7715953446531153e-06, + "loss": 0.866, + "step": 34525 + }, + { + "epoch": 0.81, + "grad_norm": 1.6084017796994143, + "learning_rate": 1.771161753401065e-06, + "loss": 0.7833, + "step": 34526 + }, + { + "epoch": 0.81, + "grad_norm": 1.358143004238984, + "learning_rate": 1.7707282100599154e-06, + "loss": 0.6937, + "step": 34527 + }, + { + "epoch": 0.81, + "grad_norm": 1.7625251561748063, + "learning_rate": 1.7702947146321904e-06, + "loss": 0.8329, + "step": 34528 + }, + { + "epoch": 0.81, + "grad_norm": 1.9993683374672284, + "learning_rate": 1.769861267120414e-06, + "loss": 0.7528, + "step": 34529 + }, + { + "epoch": 0.81, + "grad_norm": 1.6102899422814578, + "learning_rate": 1.7694278675271115e-06, + "loss": 0.8339, + "step": 34530 + }, + { + "epoch": 0.81, + "grad_norm": 1.7607537357215552, + "learning_rate": 1.7689945158548094e-06, + "loss": 0.7637, + "step": 34531 + }, + { + "epoch": 0.81, + "grad_norm": 1.7873510530176329, + "learning_rate": 1.7685612121060235e-06, + "loss": 0.8775, + "step": 34532 + }, + { + "epoch": 0.81, + "grad_norm": 0.7710300725749356, + "learning_rate": 1.7681279562832798e-06, + "loss": 0.727, + "step": 34533 + }, + { + "epoch": 0.81, + "grad_norm": 2.3191034646729136, + "learning_rate": 1.7676947483891039e-06, + "loss": 0.8126, + "step": 34534 + }, + { + "epoch": 0.81, + "grad_norm": 0.7525699561444203, + "learning_rate": 1.7672615884260159e-06, + "loss": 0.7292, + "step": 34535 + }, + { + "epoch": 0.81, + "grad_norm": 1.8144240549595199, + "learning_rate": 1.7668284763965337e-06, + "loss": 0.9706, + "step": 34536 + }, + { + "epoch": 0.81, + "grad_norm": 1.9915543542049097, + "learning_rate": 1.7663954123031834e-06, + "loss": 0.8276, + "step": 34537 + }, + { + "epoch": 0.81, + "grad_norm": 1.4800124739940244, + "learning_rate": 1.7659623961484883e-06, + "loss": 0.7775, + "step": 34538 + }, + { + "epoch": 0.81, + "grad_norm": 1.9603445661148586, + "learning_rate": 1.7655294279349666e-06, + "loss": 0.9106, + "step": 34539 + }, + { + "epoch": 0.81, + "grad_norm": 1.5165641689710785, + "learning_rate": 1.7650965076651383e-06, + "loss": 0.8482, + "step": 34540 + }, + { + "epoch": 0.81, + "grad_norm": 1.6367805138454856, + "learning_rate": 1.764663635341527e-06, + "loss": 0.862, + "step": 34541 + }, + { + "epoch": 0.81, + "grad_norm": 1.6777973835417397, + "learning_rate": 1.7642308109666483e-06, + "loss": 0.805, + "step": 34542 + }, + { + "epoch": 0.81, + "grad_norm": 1.381102475888645, + "learning_rate": 1.763798034543025e-06, + "loss": 0.8691, + "step": 34543 + }, + { + "epoch": 0.81, + "grad_norm": 1.7573546390147545, + "learning_rate": 1.7633653060731803e-06, + "loss": 0.8207, + "step": 34544 + }, + { + "epoch": 0.81, + "grad_norm": 3.352616341583527, + "learning_rate": 1.7629326255596302e-06, + "loss": 0.8701, + "step": 34545 + }, + { + "epoch": 0.81, + "grad_norm": 1.5865138704883375, + "learning_rate": 1.7624999930048913e-06, + "loss": 0.6807, + "step": 34546 + }, + { + "epoch": 0.81, + "grad_norm": 1.6503662835179842, + "learning_rate": 1.7620674084114865e-06, + "loss": 0.931, + "step": 34547 + }, + { + "epoch": 0.81, + "grad_norm": 1.6699659738030042, + "learning_rate": 1.7616348717819376e-06, + "loss": 0.8364, + "step": 34548 + }, + { + "epoch": 0.81, + "grad_norm": 0.7818047064828346, + "learning_rate": 1.761202383118754e-06, + "loss": 0.7239, + "step": 34549 + }, + { + "epoch": 0.81, + "grad_norm": 1.8455052224281456, + "learning_rate": 1.7607699424244583e-06, + "loss": 0.8278, + "step": 34550 + }, + { + "epoch": 0.81, + "grad_norm": 1.6502023732374287, + "learning_rate": 1.7603375497015684e-06, + "loss": 0.8464, + "step": 34551 + }, + { + "epoch": 0.81, + "grad_norm": 1.9045849609097254, + "learning_rate": 1.7599052049526045e-06, + "loss": 0.7983, + "step": 34552 + }, + { + "epoch": 0.81, + "grad_norm": 1.6451086975943108, + "learning_rate": 1.759472908180081e-06, + "loss": 0.8019, + "step": 34553 + }, + { + "epoch": 0.81, + "grad_norm": 1.4616793426240662, + "learning_rate": 1.7590406593865128e-06, + "loss": 0.793, + "step": 34554 + }, + { + "epoch": 0.81, + "grad_norm": 1.6110308383568555, + "learning_rate": 1.7586084585744213e-06, + "loss": 0.8046, + "step": 34555 + }, + { + "epoch": 0.81, + "grad_norm": 2.1459593774900787, + "learning_rate": 1.7581763057463187e-06, + "loss": 0.7637, + "step": 34556 + }, + { + "epoch": 0.81, + "grad_norm": 1.6108187142075014, + "learning_rate": 1.757744200904724e-06, + "loss": 0.9637, + "step": 34557 + }, + { + "epoch": 0.81, + "grad_norm": 1.7397876866553585, + "learning_rate": 1.7573121440521513e-06, + "loss": 0.7972, + "step": 34558 + }, + { + "epoch": 0.81, + "grad_norm": 1.6279534411542362, + "learning_rate": 1.756880135191118e-06, + "loss": 0.8276, + "step": 34559 + }, + { + "epoch": 0.81, + "grad_norm": 2.204664441641471, + "learning_rate": 1.756448174324137e-06, + "loss": 0.835, + "step": 34560 + }, + { + "epoch": 0.81, + "grad_norm": 1.7279391749467745, + "learning_rate": 1.7560162614537257e-06, + "loss": 0.8802, + "step": 34561 + }, + { + "epoch": 0.81, + "grad_norm": 1.7277540703154541, + "learning_rate": 1.7555843965823992e-06, + "loss": 0.7643, + "step": 34562 + }, + { + "epoch": 0.81, + "grad_norm": 1.6427504530455177, + "learning_rate": 1.7551525797126668e-06, + "loss": 0.7902, + "step": 34563 + }, + { + "epoch": 0.81, + "grad_norm": 1.6338779704911275, + "learning_rate": 1.7547208108470471e-06, + "loss": 0.8304, + "step": 34564 + }, + { + "epoch": 0.81, + "grad_norm": 1.5021922793438132, + "learning_rate": 1.7542890899880548e-06, + "loss": 0.8557, + "step": 34565 + }, + { + "epoch": 0.81, + "grad_norm": 1.4831804105241535, + "learning_rate": 1.7538574171382028e-06, + "loss": 0.8399, + "step": 34566 + }, + { + "epoch": 0.81, + "grad_norm": 1.4618452014477101, + "learning_rate": 1.7534257923000008e-06, + "loss": 0.8996, + "step": 34567 + }, + { + "epoch": 0.81, + "grad_norm": 1.3387460275778933, + "learning_rate": 1.752994215475965e-06, + "loss": 0.898, + "step": 34568 + }, + { + "epoch": 0.81, + "grad_norm": 2.276892066960434, + "learning_rate": 1.7525626866686107e-06, + "loss": 0.7904, + "step": 34569 + }, + { + "epoch": 0.81, + "grad_norm": 1.5382725898513494, + "learning_rate": 1.7521312058804462e-06, + "loss": 0.7203, + "step": 34570 + }, + { + "epoch": 0.81, + "grad_norm": 0.7316565440579373, + "learning_rate": 1.751699773113984e-06, + "loss": 0.7129, + "step": 34571 + }, + { + "epoch": 0.81, + "grad_norm": 0.7361475273401463, + "learning_rate": 1.7512683883717363e-06, + "loss": 0.6905, + "step": 34572 + }, + { + "epoch": 0.81, + "grad_norm": 2.973648166352599, + "learning_rate": 1.7508370516562179e-06, + "loss": 0.9045, + "step": 34573 + }, + { + "epoch": 0.81, + "grad_norm": 2.0667019076891573, + "learning_rate": 1.7504057629699389e-06, + "loss": 0.8044, + "step": 34574 + }, + { + "epoch": 0.81, + "grad_norm": 1.9855297361551107, + "learning_rate": 1.7499745223154053e-06, + "loss": 0.8488, + "step": 34575 + }, + { + "epoch": 0.81, + "grad_norm": 1.6057545290362727, + "learning_rate": 1.7495433296951325e-06, + "loss": 0.9535, + "step": 34576 + }, + { + "epoch": 0.81, + "grad_norm": 1.6060219042947481, + "learning_rate": 1.7491121851116332e-06, + "loss": 0.6577, + "step": 34577 + }, + { + "epoch": 0.81, + "grad_norm": 0.7645747420924798, + "learning_rate": 1.7486810885674154e-06, + "loss": 0.738, + "step": 34578 + }, + { + "epoch": 0.81, + "grad_norm": 1.6014545324687273, + "learning_rate": 1.7482500400649849e-06, + "loss": 0.8416, + "step": 34579 + }, + { + "epoch": 0.81, + "grad_norm": 1.3853907509568133, + "learning_rate": 1.7478190396068584e-06, + "loss": 0.6813, + "step": 34580 + }, + { + "epoch": 0.81, + "grad_norm": 1.69380794646228, + "learning_rate": 1.7473880871955395e-06, + "loss": 0.9055, + "step": 34581 + }, + { + "epoch": 0.81, + "grad_norm": 1.5123112868421278, + "learning_rate": 1.746957182833543e-06, + "loss": 0.7294, + "step": 34582 + }, + { + "epoch": 0.81, + "grad_norm": 1.508293145391352, + "learning_rate": 1.7465263265233712e-06, + "loss": 0.917, + "step": 34583 + }, + { + "epoch": 0.81, + "grad_norm": 1.5577294812001403, + "learning_rate": 1.7460955182675387e-06, + "loss": 0.9299, + "step": 34584 + }, + { + "epoch": 0.81, + "grad_norm": 1.4840960800543648, + "learning_rate": 1.7456647580685492e-06, + "loss": 0.9131, + "step": 34585 + }, + { + "epoch": 0.81, + "grad_norm": 1.705732399377629, + "learning_rate": 1.7452340459289152e-06, + "loss": 0.8049, + "step": 34586 + }, + { + "epoch": 0.81, + "grad_norm": 1.7038016116605186, + "learning_rate": 1.7448033818511422e-06, + "loss": 0.8525, + "step": 34587 + }, + { + "epoch": 0.81, + "grad_norm": 1.8397793592314768, + "learning_rate": 1.744372765837734e-06, + "loss": 0.8004, + "step": 34588 + }, + { + "epoch": 0.81, + "grad_norm": 2.0234465604035217, + "learning_rate": 1.743942197891202e-06, + "loss": 0.8324, + "step": 34589 + }, + { + "epoch": 0.81, + "grad_norm": 1.8187516064532816, + "learning_rate": 1.743511678014055e-06, + "loss": 0.7218, + "step": 34590 + }, + { + "epoch": 0.81, + "grad_norm": 1.4717384495850305, + "learning_rate": 1.7430812062087965e-06, + "loss": 0.8181, + "step": 34591 + }, + { + "epoch": 0.81, + "grad_norm": 1.6700360763306699, + "learning_rate": 1.7426507824779303e-06, + "loss": 0.8298, + "step": 34592 + }, + { + "epoch": 0.81, + "grad_norm": 1.9013245350766237, + "learning_rate": 1.7422204068239667e-06, + "loss": 0.7667, + "step": 34593 + }, + { + "epoch": 0.82, + "grad_norm": 1.5790642696229584, + "learning_rate": 1.7417900792494126e-06, + "loss": 0.8934, + "step": 34594 + }, + { + "epoch": 0.82, + "grad_norm": 2.1794891673098853, + "learning_rate": 1.7413597997567699e-06, + "loss": 0.7964, + "step": 34595 + }, + { + "epoch": 0.82, + "grad_norm": 1.5662191640759373, + "learning_rate": 1.740929568348544e-06, + "loss": 0.7439, + "step": 34596 + }, + { + "epoch": 0.82, + "grad_norm": 1.574720651656396, + "learning_rate": 1.74049938502724e-06, + "loss": 0.8529, + "step": 34597 + }, + { + "epoch": 0.82, + "grad_norm": 1.580347751345335, + "learning_rate": 1.7400692497953665e-06, + "loss": 0.8811, + "step": 34598 + }, + { + "epoch": 0.82, + "grad_norm": 1.7048065700638992, + "learning_rate": 1.7396391626554254e-06, + "loss": 0.8783, + "step": 34599 + }, + { + "epoch": 0.82, + "grad_norm": 0.780692744276207, + "learning_rate": 1.7392091236099173e-06, + "loss": 0.7237, + "step": 34600 + }, + { + "epoch": 0.82, + "grad_norm": 1.6338120583302795, + "learning_rate": 1.7387791326613511e-06, + "loss": 0.883, + "step": 34601 + }, + { + "epoch": 0.82, + "grad_norm": 1.669585365607309, + "learning_rate": 1.7383491898122262e-06, + "loss": 0.8164, + "step": 34602 + }, + { + "epoch": 0.82, + "grad_norm": 1.5980409851760604, + "learning_rate": 1.7379192950650504e-06, + "loss": 0.8791, + "step": 34603 + }, + { + "epoch": 0.82, + "grad_norm": 1.5420257467581024, + "learning_rate": 1.7374894484223215e-06, + "loss": 0.8197, + "step": 34604 + }, + { + "epoch": 0.82, + "grad_norm": 1.6691391743111716, + "learning_rate": 1.7370596498865467e-06, + "loss": 0.8832, + "step": 34605 + }, + { + "epoch": 0.82, + "grad_norm": 1.5877744137578227, + "learning_rate": 1.736629899460225e-06, + "loss": 0.86, + "step": 34606 + }, + { + "epoch": 0.82, + "grad_norm": 1.9179901657018419, + "learning_rate": 1.736200197145863e-06, + "loss": 0.8418, + "step": 34607 + }, + { + "epoch": 0.82, + "grad_norm": 1.8454084696342878, + "learning_rate": 1.7357705429459592e-06, + "loss": 0.8123, + "step": 34608 + }, + { + "epoch": 0.82, + "grad_norm": 0.7880067119281998, + "learning_rate": 1.7353409368630126e-06, + "loss": 0.7363, + "step": 34609 + }, + { + "epoch": 0.82, + "grad_norm": 1.6363968991858548, + "learning_rate": 1.7349113788995288e-06, + "loss": 0.8458, + "step": 34610 + }, + { + "epoch": 0.82, + "grad_norm": 0.7380464052355623, + "learning_rate": 1.734481869058009e-06, + "loss": 0.7186, + "step": 34611 + }, + { + "epoch": 0.82, + "grad_norm": 1.67560542096746, + "learning_rate": 1.7340524073409537e-06, + "loss": 0.7998, + "step": 34612 + }, + { + "epoch": 0.82, + "grad_norm": 0.7911356104439385, + "learning_rate": 1.7336229937508586e-06, + "loss": 0.7212, + "step": 34613 + }, + { + "epoch": 0.82, + "grad_norm": 0.7920098339897715, + "learning_rate": 1.7331936282902284e-06, + "loss": 0.7375, + "step": 34614 + }, + { + "epoch": 0.82, + "grad_norm": 1.6921023612749082, + "learning_rate": 1.7327643109615644e-06, + "loss": 0.7766, + "step": 34615 + }, + { + "epoch": 0.82, + "grad_norm": 1.5088026399140404, + "learning_rate": 1.7323350417673634e-06, + "loss": 0.8194, + "step": 34616 + }, + { + "epoch": 0.82, + "grad_norm": 1.624998184260256, + "learning_rate": 1.7319058207101237e-06, + "loss": 0.9058, + "step": 34617 + }, + { + "epoch": 0.82, + "grad_norm": 1.6911081802598036, + "learning_rate": 1.7314766477923461e-06, + "loss": 0.779, + "step": 34618 + }, + { + "epoch": 0.82, + "grad_norm": 1.5129042150680607, + "learning_rate": 1.7310475230165302e-06, + "loss": 0.8167, + "step": 34619 + }, + { + "epoch": 0.82, + "grad_norm": 1.6510106669580518, + "learning_rate": 1.7306184463851749e-06, + "loss": 0.7956, + "step": 34620 + }, + { + "epoch": 0.82, + "grad_norm": 1.4650885034571635, + "learning_rate": 1.7301894179007738e-06, + "loss": 0.7645, + "step": 34621 + }, + { + "epoch": 0.82, + "grad_norm": 1.5888083240386774, + "learning_rate": 1.7297604375658317e-06, + "loss": 0.7616, + "step": 34622 + }, + { + "epoch": 0.82, + "grad_norm": 1.5177315427076696, + "learning_rate": 1.7293315053828385e-06, + "loss": 0.8503, + "step": 34623 + }, + { + "epoch": 0.82, + "grad_norm": 1.6735782567544613, + "learning_rate": 1.7289026213542992e-06, + "loss": 0.8751, + "step": 34624 + }, + { + "epoch": 0.82, + "grad_norm": 1.5026909717110173, + "learning_rate": 1.728473785482705e-06, + "loss": 0.7348, + "step": 34625 + }, + { + "epoch": 0.82, + "grad_norm": 2.493449063481272, + "learning_rate": 1.7280449977705572e-06, + "loss": 0.7967, + "step": 34626 + }, + { + "epoch": 0.82, + "grad_norm": 1.6202429448628053, + "learning_rate": 1.727616258220348e-06, + "loss": 0.8306, + "step": 34627 + }, + { + "epoch": 0.82, + "grad_norm": 1.534352866476453, + "learning_rate": 1.727187566834576e-06, + "loss": 0.7968, + "step": 34628 + }, + { + "epoch": 0.82, + "grad_norm": 1.7571543801662919, + "learning_rate": 1.7267589236157422e-06, + "loss": 0.8304, + "step": 34629 + }, + { + "epoch": 0.82, + "grad_norm": 1.4499191778482619, + "learning_rate": 1.7263303285663324e-06, + "loss": 0.8188, + "step": 34630 + }, + { + "epoch": 0.82, + "grad_norm": 0.7645268605268867, + "learning_rate": 1.7259017816888469e-06, + "loss": 0.695, + "step": 34631 + }, + { + "epoch": 0.82, + "grad_norm": 1.5774850172480304, + "learning_rate": 1.72547328298578e-06, + "loss": 0.8216, + "step": 34632 + }, + { + "epoch": 0.82, + "grad_norm": 1.5889831266133254, + "learning_rate": 1.7250448324596325e-06, + "loss": 0.7971, + "step": 34633 + }, + { + "epoch": 0.82, + "grad_norm": 1.7148898446630785, + "learning_rate": 1.7246164301128888e-06, + "loss": 0.9587, + "step": 34634 + }, + { + "epoch": 0.82, + "grad_norm": 1.6050439851729137, + "learning_rate": 1.724188075948049e-06, + "loss": 1.0039, + "step": 34635 + }, + { + "epoch": 0.82, + "grad_norm": 1.674004567652839, + "learning_rate": 1.7237597699676079e-06, + "loss": 0.8074, + "step": 34636 + }, + { + "epoch": 0.82, + "grad_norm": 1.7602164989694995, + "learning_rate": 1.723331512174058e-06, + "loss": 0.7637, + "step": 34637 + }, + { + "epoch": 0.82, + "grad_norm": 0.7589611735235925, + "learning_rate": 1.7229033025698894e-06, + "loss": 0.6619, + "step": 34638 + }, + { + "epoch": 0.82, + "grad_norm": 1.8757213470774279, + "learning_rate": 1.7224751411575991e-06, + "loss": 0.8107, + "step": 34639 + }, + { + "epoch": 0.82, + "grad_norm": 1.6704375997209417, + "learning_rate": 1.7220470279396806e-06, + "loss": 0.9473, + "step": 34640 + }, + { + "epoch": 0.82, + "grad_norm": 2.0298445494667203, + "learning_rate": 1.721618962918623e-06, + "loss": 0.8278, + "step": 34641 + }, + { + "epoch": 0.82, + "grad_norm": 1.5732986259815067, + "learning_rate": 1.7211909460969233e-06, + "loss": 0.9476, + "step": 34642 + }, + { + "epoch": 0.82, + "grad_norm": 1.6534394540018, + "learning_rate": 1.7207629774770718e-06, + "loss": 0.8006, + "step": 34643 + }, + { + "epoch": 0.82, + "grad_norm": 1.60494540219461, + "learning_rate": 1.7203350570615563e-06, + "loss": 0.8201, + "step": 34644 + }, + { + "epoch": 0.82, + "grad_norm": 0.7683233299667767, + "learning_rate": 1.7199071848528703e-06, + "loss": 0.6935, + "step": 34645 + }, + { + "epoch": 0.82, + "grad_norm": 1.46459247293592, + "learning_rate": 1.7194793608535099e-06, + "loss": 0.9318, + "step": 34646 + }, + { + "epoch": 0.82, + "grad_norm": 2.5168360914543957, + "learning_rate": 1.7190515850659616e-06, + "loss": 0.9074, + "step": 34647 + }, + { + "epoch": 0.82, + "grad_norm": 1.5699890813237374, + "learning_rate": 1.718623857492715e-06, + "loss": 0.9335, + "step": 34648 + }, + { + "epoch": 0.82, + "grad_norm": 1.5672026839133117, + "learning_rate": 1.718196178136261e-06, + "loss": 0.8811, + "step": 34649 + }, + { + "epoch": 0.82, + "grad_norm": 1.7664497419246596, + "learning_rate": 1.7177685469990946e-06, + "loss": 0.8362, + "step": 34650 + }, + { + "epoch": 0.82, + "grad_norm": 0.7981280228293951, + "learning_rate": 1.7173409640837002e-06, + "loss": 0.6919, + "step": 34651 + }, + { + "epoch": 0.82, + "grad_norm": 1.5501809930724293, + "learning_rate": 1.7169134293925682e-06, + "loss": 0.7287, + "step": 34652 + }, + { + "epoch": 0.82, + "grad_norm": 1.6010291632213702, + "learning_rate": 1.7164859429281876e-06, + "loss": 0.8485, + "step": 34653 + }, + { + "epoch": 0.82, + "grad_norm": 3.2124270671161126, + "learning_rate": 1.716058504693051e-06, + "loss": 0.8051, + "step": 34654 + }, + { + "epoch": 0.82, + "grad_norm": 1.4879509182103876, + "learning_rate": 1.7156311146896442e-06, + "loss": 0.8644, + "step": 34655 + }, + { + "epoch": 0.82, + "grad_norm": 1.5548897861649087, + "learning_rate": 1.715203772920453e-06, + "loss": 0.7926, + "step": 34656 + }, + { + "epoch": 0.82, + "grad_norm": 2.06013996413842, + "learning_rate": 1.7147764793879718e-06, + "loss": 0.7493, + "step": 34657 + }, + { + "epoch": 0.82, + "grad_norm": 1.5872070660974282, + "learning_rate": 1.7143492340946821e-06, + "loss": 0.7558, + "step": 34658 + }, + { + "epoch": 0.82, + "grad_norm": 1.4321724894866752, + "learning_rate": 1.7139220370430765e-06, + "loss": 0.8789, + "step": 34659 + }, + { + "epoch": 0.82, + "grad_norm": 1.4875150404086648, + "learning_rate": 1.7134948882356383e-06, + "loss": 0.9263, + "step": 34660 + }, + { + "epoch": 0.82, + "grad_norm": 1.5487433579040717, + "learning_rate": 1.7130677876748592e-06, + "loss": 0.8393, + "step": 34661 + }, + { + "epoch": 0.82, + "grad_norm": 1.7100686685997206, + "learning_rate": 1.7126407353632191e-06, + "loss": 0.7614, + "step": 34662 + }, + { + "epoch": 0.82, + "grad_norm": 1.7281134117915582, + "learning_rate": 1.7122137313032116e-06, + "loss": 0.8895, + "step": 34663 + }, + { + "epoch": 0.82, + "grad_norm": 1.7950321054765328, + "learning_rate": 1.7117867754973206e-06, + "loss": 0.7956, + "step": 34664 + }, + { + "epoch": 0.82, + "grad_norm": 1.5534696957394634, + "learning_rate": 1.711359867948027e-06, + "loss": 0.9158, + "step": 34665 + }, + { + "epoch": 0.82, + "grad_norm": 1.8708066806108041, + "learning_rate": 1.7109330086578213e-06, + "loss": 0.8314, + "step": 34666 + }, + { + "epoch": 0.82, + "grad_norm": 2.0650792197532573, + "learning_rate": 1.7105061976291893e-06, + "loss": 0.7791, + "step": 34667 + }, + { + "epoch": 0.82, + "grad_norm": 1.5937301350943849, + "learning_rate": 1.7100794348646155e-06, + "loss": 0.748, + "step": 34668 + }, + { + "epoch": 0.82, + "grad_norm": 0.7638768034677891, + "learning_rate": 1.7096527203665814e-06, + "loss": 0.7336, + "step": 34669 + }, + { + "epoch": 0.82, + "grad_norm": 1.517947959301209, + "learning_rate": 1.7092260541375738e-06, + "loss": 0.8189, + "step": 34670 + }, + { + "epoch": 0.82, + "grad_norm": 2.0810280397037966, + "learning_rate": 1.7087994361800787e-06, + "loss": 0.7068, + "step": 34671 + }, + { + "epoch": 0.82, + "grad_norm": 1.4801354467135497, + "learning_rate": 1.7083728664965793e-06, + "loss": 0.9725, + "step": 34672 + }, + { + "epoch": 0.82, + "grad_norm": 1.7386343041259442, + "learning_rate": 1.707946345089555e-06, + "loss": 0.7956, + "step": 34673 + }, + { + "epoch": 0.82, + "grad_norm": 1.8718883955710834, + "learning_rate": 1.7075198719614927e-06, + "loss": 0.8958, + "step": 34674 + }, + { + "epoch": 0.82, + "grad_norm": 1.665117514085628, + "learning_rate": 1.707093447114877e-06, + "loss": 0.8345, + "step": 34675 + }, + { + "epoch": 0.82, + "grad_norm": 1.5602359398180918, + "learning_rate": 1.7066670705521893e-06, + "loss": 0.8971, + "step": 34676 + }, + { + "epoch": 0.82, + "grad_norm": 1.769026945112901, + "learning_rate": 1.7062407422759085e-06, + "loss": 0.9079, + "step": 34677 + }, + { + "epoch": 0.82, + "grad_norm": 0.7369844764652741, + "learning_rate": 1.705814462288522e-06, + "loss": 0.6884, + "step": 34678 + }, + { + "epoch": 0.82, + "grad_norm": 1.5511552025141058, + "learning_rate": 1.7053882305925085e-06, + "loss": 0.7305, + "step": 34679 + }, + { + "epoch": 0.82, + "grad_norm": 1.4945475404822293, + "learning_rate": 1.7049620471903517e-06, + "loss": 0.6729, + "step": 34680 + }, + { + "epoch": 0.82, + "grad_norm": 1.4422737819398568, + "learning_rate": 1.7045359120845307e-06, + "loss": 0.8001, + "step": 34681 + }, + { + "epoch": 0.82, + "grad_norm": 1.5784757569276135, + "learning_rate": 1.70410982527753e-06, + "loss": 0.8064, + "step": 34682 + }, + { + "epoch": 0.82, + "grad_norm": 2.002649256015159, + "learning_rate": 1.7036837867718259e-06, + "loss": 0.9588, + "step": 34683 + }, + { + "epoch": 0.82, + "grad_norm": 1.6116685010738676, + "learning_rate": 1.7032577965699037e-06, + "loss": 0.9676, + "step": 34684 + }, + { + "epoch": 0.82, + "grad_norm": 1.5319302287842647, + "learning_rate": 1.7028318546742418e-06, + "loss": 0.8026, + "step": 34685 + }, + { + "epoch": 0.82, + "grad_norm": 1.6683185261982907, + "learning_rate": 1.7024059610873167e-06, + "loss": 0.8655, + "step": 34686 + }, + { + "epoch": 0.82, + "grad_norm": 1.44101611591744, + "learning_rate": 1.7019801158116112e-06, + "loss": 0.8597, + "step": 34687 + }, + { + "epoch": 0.82, + "grad_norm": 1.414052142934681, + "learning_rate": 1.7015543188496065e-06, + "loss": 0.8533, + "step": 34688 + }, + { + "epoch": 0.82, + "grad_norm": 1.5270690198886978, + "learning_rate": 1.7011285702037804e-06, + "loss": 0.7571, + "step": 34689 + }, + { + "epoch": 0.82, + "grad_norm": 1.3332268145499402, + "learning_rate": 1.7007028698766082e-06, + "loss": 0.7461, + "step": 34690 + }, + { + "epoch": 0.82, + "grad_norm": 1.857952643458814, + "learning_rate": 1.7002772178705717e-06, + "loss": 0.8518, + "step": 34691 + }, + { + "epoch": 0.82, + "grad_norm": 1.6225966408876689, + "learning_rate": 1.6998516141881517e-06, + "loss": 0.8572, + "step": 34692 + }, + { + "epoch": 0.82, + "grad_norm": 1.5410478309831959, + "learning_rate": 1.6994260588318235e-06, + "loss": 0.7934, + "step": 34693 + }, + { + "epoch": 0.82, + "grad_norm": 2.1411121610901707, + "learning_rate": 1.699000551804062e-06, + "loss": 0.8114, + "step": 34694 + }, + { + "epoch": 0.82, + "grad_norm": 1.441591621690123, + "learning_rate": 1.6985750931073476e-06, + "loss": 0.7991, + "step": 34695 + }, + { + "epoch": 0.82, + "grad_norm": 1.6678330247192037, + "learning_rate": 1.698149682744159e-06, + "loss": 0.8552, + "step": 34696 + }, + { + "epoch": 0.82, + "grad_norm": 1.7744888581920113, + "learning_rate": 1.6977243207169714e-06, + "loss": 0.8658, + "step": 34697 + }, + { + "epoch": 0.82, + "grad_norm": 1.4812625941163227, + "learning_rate": 1.697299007028259e-06, + "loss": 0.7359, + "step": 34698 + }, + { + "epoch": 0.82, + "grad_norm": 1.8423242718054693, + "learning_rate": 1.6968737416805003e-06, + "loss": 0.679, + "step": 34699 + }, + { + "epoch": 0.82, + "grad_norm": 2.2313953213548965, + "learning_rate": 1.696448524676173e-06, + "loss": 0.8837, + "step": 34700 + }, + { + "epoch": 0.82, + "grad_norm": 1.6185882942623033, + "learning_rate": 1.6960233560177531e-06, + "loss": 0.8567, + "step": 34701 + }, + { + "epoch": 0.82, + "grad_norm": 1.7272933324732394, + "learning_rate": 1.6955982357077106e-06, + "loss": 0.8761, + "step": 34702 + }, + { + "epoch": 0.82, + "grad_norm": 1.5837256961776804, + "learning_rate": 1.6951731637485269e-06, + "loss": 0.8296, + "step": 34703 + }, + { + "epoch": 0.82, + "grad_norm": 1.5058974527448892, + "learning_rate": 1.6947481401426712e-06, + "loss": 0.9107, + "step": 34704 + }, + { + "epoch": 0.82, + "grad_norm": 0.7431139491451618, + "learning_rate": 1.6943231648926251e-06, + "loss": 0.7172, + "step": 34705 + }, + { + "epoch": 0.82, + "grad_norm": 2.0121030577708043, + "learning_rate": 1.693898238000856e-06, + "loss": 0.7123, + "step": 34706 + }, + { + "epoch": 0.82, + "grad_norm": 1.5344301667268399, + "learning_rate": 1.6934733594698426e-06, + "loss": 0.8381, + "step": 34707 + }, + { + "epoch": 0.82, + "grad_norm": 1.4370077741444351, + "learning_rate": 1.693048529302056e-06, + "loss": 0.8834, + "step": 34708 + }, + { + "epoch": 0.82, + "grad_norm": 1.4092537876529532, + "learning_rate": 1.692623747499973e-06, + "loss": 0.7604, + "step": 34709 + }, + { + "epoch": 0.82, + "grad_norm": 1.8538661941401704, + "learning_rate": 1.6921990140660638e-06, + "loss": 0.8474, + "step": 34710 + }, + { + "epoch": 0.82, + "grad_norm": 1.7918606803574604, + "learning_rate": 1.6917743290027999e-06, + "loss": 0.9561, + "step": 34711 + }, + { + "epoch": 0.82, + "grad_norm": 1.4919057091300885, + "learning_rate": 1.691349692312657e-06, + "loss": 0.798, + "step": 34712 + }, + { + "epoch": 0.82, + "grad_norm": 1.5486886108133457, + "learning_rate": 1.6909251039981056e-06, + "loss": 0.7839, + "step": 34713 + }, + { + "epoch": 0.82, + "grad_norm": 1.7413202642301406, + "learning_rate": 1.6905005640616245e-06, + "loss": 0.7953, + "step": 34714 + }, + { + "epoch": 0.82, + "grad_norm": 1.6543457999962228, + "learning_rate": 1.6900760725056742e-06, + "loss": 0.8422, + "step": 34715 + }, + { + "epoch": 0.82, + "grad_norm": 1.6271883049251001, + "learning_rate": 1.6896516293327326e-06, + "loss": 0.7186, + "step": 34716 + }, + { + "epoch": 0.82, + "grad_norm": 1.6113787361165615, + "learning_rate": 1.6892272345452732e-06, + "loss": 0.7774, + "step": 34717 + }, + { + "epoch": 0.82, + "grad_norm": 1.9692278243831722, + "learning_rate": 1.688802888145763e-06, + "loss": 0.7847, + "step": 34718 + }, + { + "epoch": 0.82, + "grad_norm": 1.8698681590854003, + "learning_rate": 1.6883785901366712e-06, + "loss": 0.9958, + "step": 34719 + }, + { + "epoch": 0.82, + "grad_norm": 1.4378975474280808, + "learning_rate": 1.6879543405204712e-06, + "loss": 0.7128, + "step": 34720 + }, + { + "epoch": 0.82, + "grad_norm": 1.5516100706096028, + "learning_rate": 1.6875301392996346e-06, + "loss": 0.8439, + "step": 34721 + }, + { + "epoch": 0.82, + "grad_norm": 1.9291102642570286, + "learning_rate": 1.6871059864766293e-06, + "loss": 0.7703, + "step": 34722 + }, + { + "epoch": 0.82, + "grad_norm": 3.053178633999048, + "learning_rate": 1.6866818820539232e-06, + "loss": 0.8641, + "step": 34723 + }, + { + "epoch": 0.82, + "grad_norm": 1.6782148044078968, + "learning_rate": 1.686257826033988e-06, + "loss": 0.8852, + "step": 34724 + }, + { + "epoch": 0.82, + "grad_norm": 1.819233433259811, + "learning_rate": 1.68583381841929e-06, + "loss": 0.7487, + "step": 34725 + }, + { + "epoch": 0.82, + "grad_norm": 1.5448099187265898, + "learning_rate": 1.6854098592123002e-06, + "loss": 0.8317, + "step": 34726 + }, + { + "epoch": 0.82, + "grad_norm": 1.504664577766812, + "learning_rate": 1.6849859484154885e-06, + "loss": 0.7503, + "step": 34727 + }, + { + "epoch": 0.82, + "grad_norm": 1.4509233999484448, + "learning_rate": 1.6845620860313216e-06, + "loss": 0.728, + "step": 34728 + }, + { + "epoch": 0.82, + "grad_norm": 1.5415749811396156, + "learning_rate": 1.6841382720622646e-06, + "loss": 0.747, + "step": 34729 + }, + { + "epoch": 0.82, + "grad_norm": 1.827684459647484, + "learning_rate": 1.6837145065107862e-06, + "loss": 0.8884, + "step": 34730 + }, + { + "epoch": 0.82, + "grad_norm": 1.6660483788802707, + "learning_rate": 1.6832907893793604e-06, + "loss": 0.9307, + "step": 34731 + }, + { + "epoch": 0.82, + "grad_norm": 1.880162786591324, + "learning_rate": 1.682867120670444e-06, + "loss": 0.8513, + "step": 34732 + }, + { + "epoch": 0.82, + "grad_norm": 0.7590347099381266, + "learning_rate": 1.6824435003865081e-06, + "loss": 0.6773, + "step": 34733 + }, + { + "epoch": 0.82, + "grad_norm": 1.5771858000168053, + "learning_rate": 1.6820199285300199e-06, + "loss": 0.6614, + "step": 34734 + }, + { + "epoch": 0.82, + "grad_norm": 1.574626547675088, + "learning_rate": 1.6815964051034472e-06, + "loss": 0.8029, + "step": 34735 + }, + { + "epoch": 0.82, + "grad_norm": 0.760700104653416, + "learning_rate": 1.6811729301092528e-06, + "loss": 0.6844, + "step": 34736 + }, + { + "epoch": 0.82, + "grad_norm": 1.5188119830938607, + "learning_rate": 1.6807495035499022e-06, + "loss": 0.8625, + "step": 34737 + }, + { + "epoch": 0.82, + "grad_norm": 1.5381572238168337, + "learning_rate": 1.6803261254278635e-06, + "loss": 1.0057, + "step": 34738 + }, + { + "epoch": 0.82, + "grad_norm": 1.837923680624787, + "learning_rate": 1.6799027957455983e-06, + "loss": 0.8411, + "step": 34739 + }, + { + "epoch": 0.82, + "grad_norm": 1.6337409184100806, + "learning_rate": 1.6794795145055753e-06, + "loss": 0.8104, + "step": 34740 + }, + { + "epoch": 0.82, + "grad_norm": 1.8979053418637801, + "learning_rate": 1.6790562817102541e-06, + "loss": 0.7866, + "step": 34741 + }, + { + "epoch": 0.82, + "grad_norm": 1.5255186149002768, + "learning_rate": 1.6786330973621045e-06, + "loss": 0.8345, + "step": 34742 + }, + { + "epoch": 0.82, + "grad_norm": 1.5583680097982335, + "learning_rate": 1.6782099614635848e-06, + "loss": 0.7074, + "step": 34743 + }, + { + "epoch": 0.82, + "grad_norm": 1.5379011970979442, + "learning_rate": 1.6777868740171633e-06, + "loss": 0.8213, + "step": 34744 + }, + { + "epoch": 0.82, + "grad_norm": 4.349572791230794, + "learning_rate": 1.677363835025302e-06, + "loss": 0.688, + "step": 34745 + }, + { + "epoch": 0.82, + "grad_norm": 1.636505222596208, + "learning_rate": 1.6769408444904612e-06, + "loss": 0.73, + "step": 34746 + }, + { + "epoch": 0.82, + "grad_norm": 1.671530231118078, + "learning_rate": 1.6765179024151047e-06, + "loss": 0.873, + "step": 34747 + }, + { + "epoch": 0.82, + "grad_norm": 1.7388149049407036, + "learning_rate": 1.6760950088016991e-06, + "loss": 0.981, + "step": 34748 + }, + { + "epoch": 0.82, + "grad_norm": 1.5566785142842134, + "learning_rate": 1.675672163652704e-06, + "loss": 1.0037, + "step": 34749 + }, + { + "epoch": 0.82, + "grad_norm": 1.4294043711753757, + "learning_rate": 1.6752493669705782e-06, + "loss": 0.8251, + "step": 34750 + }, + { + "epoch": 0.82, + "grad_norm": 1.550752727413799, + "learning_rate": 1.6748266187577866e-06, + "loss": 0.8209, + "step": 34751 + }, + { + "epoch": 0.82, + "grad_norm": 1.5339329643590542, + "learning_rate": 1.6744039190167926e-06, + "loss": 0.8768, + "step": 34752 + }, + { + "epoch": 0.82, + "grad_norm": 1.5931249766484947, + "learning_rate": 1.6739812677500543e-06, + "loss": 0.8736, + "step": 34753 + }, + { + "epoch": 0.82, + "grad_norm": 1.5238178951630357, + "learning_rate": 1.673558664960031e-06, + "loss": 0.652, + "step": 34754 + }, + { + "epoch": 0.82, + "grad_norm": 1.4504839025600982, + "learning_rate": 1.673136110649185e-06, + "loss": 0.8806, + "step": 34755 + }, + { + "epoch": 0.82, + "grad_norm": 1.3442154710755545, + "learning_rate": 1.6727136048199788e-06, + "loss": 0.697, + "step": 34756 + }, + { + "epoch": 0.82, + "grad_norm": 2.055911679995969, + "learning_rate": 1.6722911474748715e-06, + "loss": 0.9108, + "step": 34757 + }, + { + "epoch": 0.82, + "grad_norm": 1.5565157441840902, + "learning_rate": 1.671868738616319e-06, + "loss": 0.7715, + "step": 34758 + }, + { + "epoch": 0.82, + "grad_norm": 1.562547920207476, + "learning_rate": 1.6714463782467848e-06, + "loss": 0.7189, + "step": 34759 + }, + { + "epoch": 0.82, + "grad_norm": 1.4238585149704985, + "learning_rate": 1.671024066368725e-06, + "loss": 0.8352, + "step": 34760 + }, + { + "epoch": 0.82, + "grad_norm": 1.6828435601918377, + "learning_rate": 1.6706018029846016e-06, + "loss": 0.7578, + "step": 34761 + }, + { + "epoch": 0.82, + "grad_norm": 1.8456189269143823, + "learning_rate": 1.6701795880968696e-06, + "loss": 0.7137, + "step": 34762 + }, + { + "epoch": 0.82, + "grad_norm": 1.724749438961912, + "learning_rate": 1.6697574217079926e-06, + "loss": 0.7988, + "step": 34763 + }, + { + "epoch": 0.82, + "grad_norm": 1.6815113004988367, + "learning_rate": 1.6693353038204218e-06, + "loss": 0.6779, + "step": 34764 + }, + { + "epoch": 0.82, + "grad_norm": 1.60974483825143, + "learning_rate": 1.668913234436621e-06, + "loss": 0.8429, + "step": 34765 + }, + { + "epoch": 0.82, + "grad_norm": 1.629037307551531, + "learning_rate": 1.6684912135590447e-06, + "loss": 0.7736, + "step": 34766 + }, + { + "epoch": 0.82, + "grad_norm": 1.713225319684264, + "learning_rate": 1.6680692411901478e-06, + "loss": 0.8989, + "step": 34767 + }, + { + "epoch": 0.82, + "grad_norm": 1.6972861274335829, + "learning_rate": 1.6676473173323892e-06, + "loss": 0.8062, + "step": 34768 + }, + { + "epoch": 0.82, + "grad_norm": 2.609611124593736, + "learning_rate": 1.6672254419882295e-06, + "loss": 0.906, + "step": 34769 + }, + { + "epoch": 0.82, + "grad_norm": 1.587204307606214, + "learning_rate": 1.6668036151601197e-06, + "loss": 0.8619, + "step": 34770 + }, + { + "epoch": 0.82, + "grad_norm": 1.4930754196926135, + "learning_rate": 1.6663818368505168e-06, + "loss": 0.8254, + "step": 34771 + }, + { + "epoch": 0.82, + "grad_norm": 1.624605062155383, + "learning_rate": 1.6659601070618758e-06, + "loss": 0.8414, + "step": 34772 + }, + { + "epoch": 0.82, + "grad_norm": 1.9404069805472528, + "learning_rate": 1.6655384257966566e-06, + "loss": 0.8065, + "step": 34773 + }, + { + "epoch": 0.82, + "grad_norm": 1.5917136473523652, + "learning_rate": 1.665116793057312e-06, + "loss": 0.8254, + "step": 34774 + }, + { + "epoch": 0.82, + "grad_norm": 1.535241480607739, + "learning_rate": 1.6646952088462932e-06, + "loss": 0.8103, + "step": 34775 + }, + { + "epoch": 0.82, + "grad_norm": 1.9258373980263235, + "learning_rate": 1.664273673166058e-06, + "loss": 0.8363, + "step": 34776 + }, + { + "epoch": 0.82, + "grad_norm": 1.513318235748683, + "learning_rate": 1.6638521860190625e-06, + "loss": 0.8707, + "step": 34777 + }, + { + "epoch": 0.82, + "grad_norm": 1.7896342069102642, + "learning_rate": 1.6634307474077594e-06, + "loss": 0.745, + "step": 34778 + }, + { + "epoch": 0.82, + "grad_norm": 1.5619995185874052, + "learning_rate": 1.6630093573345985e-06, + "loss": 0.7524, + "step": 34779 + }, + { + "epoch": 0.82, + "grad_norm": 1.4115572404538477, + "learning_rate": 1.6625880158020403e-06, + "loss": 0.8604, + "step": 34780 + }, + { + "epoch": 0.82, + "grad_norm": 1.5508097069218378, + "learning_rate": 1.6621667228125305e-06, + "loss": 0.8548, + "step": 34781 + }, + { + "epoch": 0.82, + "grad_norm": 2.0179388046938813, + "learning_rate": 1.6617454783685283e-06, + "loss": 0.8456, + "step": 34782 + }, + { + "epoch": 0.82, + "grad_norm": 1.5058607492304565, + "learning_rate": 1.6613242824724818e-06, + "loss": 0.6861, + "step": 34783 + }, + { + "epoch": 0.82, + "grad_norm": 1.4878071698849675, + "learning_rate": 1.660903135126848e-06, + "loss": 0.7926, + "step": 34784 + }, + { + "epoch": 0.82, + "grad_norm": 1.5577846273049978, + "learning_rate": 1.6604820363340735e-06, + "loss": 0.9345, + "step": 34785 + }, + { + "epoch": 0.82, + "grad_norm": 1.6862983271577257, + "learning_rate": 1.6600609860966155e-06, + "loss": 0.8478, + "step": 34786 + }, + { + "epoch": 0.82, + "grad_norm": 1.8995100623334111, + "learning_rate": 1.659639984416922e-06, + "loss": 0.8083, + "step": 34787 + }, + { + "epoch": 0.82, + "grad_norm": 1.7958677080284493, + "learning_rate": 1.6592190312974433e-06, + "loss": 0.7318, + "step": 34788 + }, + { + "epoch": 0.82, + "grad_norm": 1.5580266409861605, + "learning_rate": 1.6587981267406328e-06, + "loss": 0.8695, + "step": 34789 + }, + { + "epoch": 0.82, + "grad_norm": 1.5176381526899954, + "learning_rate": 1.658377270748941e-06, + "loss": 0.7732, + "step": 34790 + }, + { + "epoch": 0.82, + "grad_norm": 1.5703624241754726, + "learning_rate": 1.6579564633248191e-06, + "loss": 0.8604, + "step": 34791 + }, + { + "epoch": 0.82, + "grad_norm": 1.3947363899249587, + "learning_rate": 1.657535704470713e-06, + "loss": 0.7526, + "step": 34792 + }, + { + "epoch": 0.82, + "grad_norm": 1.5381131019161407, + "learning_rate": 1.6571149941890753e-06, + "loss": 0.7958, + "step": 34793 + }, + { + "epoch": 0.82, + "grad_norm": 1.562605219870766, + "learning_rate": 1.656694332482357e-06, + "loss": 0.9503, + "step": 34794 + }, + { + "epoch": 0.82, + "grad_norm": 0.7647910114593381, + "learning_rate": 1.6562737193530065e-06, + "loss": 0.7437, + "step": 34795 + }, + { + "epoch": 0.82, + "grad_norm": 1.4452538156999761, + "learning_rate": 1.6558531548034696e-06, + "loss": 0.7628, + "step": 34796 + }, + { + "epoch": 0.82, + "grad_norm": 1.7031357435837153, + "learning_rate": 1.6554326388361963e-06, + "loss": 0.7289, + "step": 34797 + }, + { + "epoch": 0.82, + "grad_norm": 1.4823251892651872, + "learning_rate": 1.6550121714536393e-06, + "loss": 0.7871, + "step": 34798 + }, + { + "epoch": 0.82, + "grad_norm": 1.6865878556548604, + "learning_rate": 1.6545917526582434e-06, + "loss": 0.8354, + "step": 34799 + }, + { + "epoch": 0.82, + "grad_norm": 1.5646909018187882, + "learning_rate": 1.6541713824524542e-06, + "loss": 0.7457, + "step": 34800 + }, + { + "epoch": 0.82, + "grad_norm": 0.7134706349810956, + "learning_rate": 1.653751060838723e-06, + "loss": 0.6844, + "step": 34801 + }, + { + "epoch": 0.82, + "grad_norm": 2.0349292503829526, + "learning_rate": 1.653330787819495e-06, + "loss": 0.7826, + "step": 34802 + }, + { + "epoch": 0.82, + "grad_norm": 1.584647571092365, + "learning_rate": 1.6529105633972176e-06, + "loss": 0.6565, + "step": 34803 + }, + { + "epoch": 0.82, + "grad_norm": 1.855195477731076, + "learning_rate": 1.652490387574337e-06, + "loss": 0.8808, + "step": 34804 + }, + { + "epoch": 0.82, + "grad_norm": 1.4614351666114402, + "learning_rate": 1.6520702603533012e-06, + "loss": 0.9221, + "step": 34805 + }, + { + "epoch": 0.82, + "grad_norm": 1.9262283792650765, + "learning_rate": 1.6516501817365538e-06, + "loss": 0.8147, + "step": 34806 + }, + { + "epoch": 0.82, + "grad_norm": 1.7194422907494777, + "learning_rate": 1.651230151726545e-06, + "loss": 0.8298, + "step": 34807 + }, + { + "epoch": 0.82, + "grad_norm": 1.7513262899897637, + "learning_rate": 1.6508101703257161e-06, + "loss": 0.7967, + "step": 34808 + }, + { + "epoch": 0.82, + "grad_norm": 1.7562057834120515, + "learning_rate": 1.6503902375365121e-06, + "loss": 0.7529, + "step": 34809 + }, + { + "epoch": 0.82, + "grad_norm": 2.4767404705362788, + "learning_rate": 1.6499703533613788e-06, + "loss": 0.7173, + "step": 34810 + }, + { + "epoch": 0.82, + "grad_norm": 1.6509102935706925, + "learning_rate": 1.6495505178027626e-06, + "loss": 0.8348, + "step": 34811 + }, + { + "epoch": 0.82, + "grad_norm": 1.5573116588984586, + "learning_rate": 1.649130730863111e-06, + "loss": 0.7174, + "step": 34812 + }, + { + "epoch": 0.82, + "grad_norm": 1.5007434750196913, + "learning_rate": 1.6487109925448597e-06, + "loss": 0.7267, + "step": 34813 + }, + { + "epoch": 0.82, + "grad_norm": 1.6668347218407076, + "learning_rate": 1.6482913028504577e-06, + "loss": 1.0444, + "step": 34814 + }, + { + "epoch": 0.82, + "grad_norm": 1.4650777384716622, + "learning_rate": 1.6478716617823488e-06, + "loss": 0.842, + "step": 34815 + }, + { + "epoch": 0.82, + "grad_norm": 1.4340240293390765, + "learning_rate": 1.6474520693429763e-06, + "loss": 0.7661, + "step": 34816 + }, + { + "epoch": 0.82, + "grad_norm": 1.52548507214186, + "learning_rate": 1.6470325255347798e-06, + "loss": 0.847, + "step": 34817 + }, + { + "epoch": 0.82, + "grad_norm": 1.5789887620442196, + "learning_rate": 1.6466130303602047e-06, + "loss": 0.8608, + "step": 34818 + }, + { + "epoch": 0.82, + "grad_norm": 1.5719079896834114, + "learning_rate": 1.6461935838216947e-06, + "loss": 0.7193, + "step": 34819 + }, + { + "epoch": 0.82, + "grad_norm": 1.7504812614048775, + "learning_rate": 1.6457741859216903e-06, + "loss": 1.0147, + "step": 34820 + }, + { + "epoch": 0.82, + "grad_norm": 1.5916984743620854, + "learning_rate": 1.6453548366626316e-06, + "loss": 0.8042, + "step": 34821 + }, + { + "epoch": 0.82, + "grad_norm": 1.3958660250602652, + "learning_rate": 1.6449355360469621e-06, + "loss": 0.7741, + "step": 34822 + }, + { + "epoch": 0.82, + "grad_norm": 0.7380185011736576, + "learning_rate": 1.6445162840771256e-06, + "loss": 0.7212, + "step": 34823 + }, + { + "epoch": 0.82, + "grad_norm": 1.8760613177231813, + "learning_rate": 1.644097080755558e-06, + "loss": 0.8434, + "step": 34824 + }, + { + "epoch": 0.82, + "grad_norm": 1.5653768904848446, + "learning_rate": 1.6436779260847058e-06, + "loss": 0.8176, + "step": 34825 + }, + { + "epoch": 0.82, + "grad_norm": 1.7331740204174717, + "learning_rate": 1.6432588200670053e-06, + "loss": 0.9105, + "step": 34826 + }, + { + "epoch": 0.82, + "grad_norm": 1.589164464269215, + "learning_rate": 1.6428397627048953e-06, + "loss": 0.8818, + "step": 34827 + }, + { + "epoch": 0.82, + "grad_norm": 1.627719194104652, + "learning_rate": 1.6424207540008185e-06, + "loss": 0.8307, + "step": 34828 + }, + { + "epoch": 0.82, + "grad_norm": 1.6688541656679203, + "learning_rate": 1.6420017939572164e-06, + "loss": 0.7829, + "step": 34829 + }, + { + "epoch": 0.82, + "grad_norm": 1.6186133431429703, + "learning_rate": 1.6415828825765256e-06, + "loss": 0.8271, + "step": 34830 + }, + { + "epoch": 0.82, + "grad_norm": 1.702525766720937, + "learning_rate": 1.6411640198611834e-06, + "loss": 0.745, + "step": 34831 + }, + { + "epoch": 0.82, + "grad_norm": 1.8222946974925707, + "learning_rate": 1.6407452058136298e-06, + "loss": 0.7809, + "step": 34832 + }, + { + "epoch": 0.82, + "grad_norm": 1.5248887897118721, + "learning_rate": 1.6403264404363073e-06, + "loss": 0.8487, + "step": 34833 + }, + { + "epoch": 0.82, + "grad_norm": 1.8396951246714877, + "learning_rate": 1.6399077237316507e-06, + "loss": 0.7748, + "step": 34834 + }, + { + "epoch": 0.82, + "grad_norm": 1.69833404854066, + "learning_rate": 1.639489055702096e-06, + "loss": 0.9443, + "step": 34835 + }, + { + "epoch": 0.82, + "grad_norm": 1.5519098107226166, + "learning_rate": 1.6390704363500832e-06, + "loss": 0.8811, + "step": 34836 + }, + { + "epoch": 0.82, + "grad_norm": 1.6841600950213351, + "learning_rate": 1.6386518656780504e-06, + "loss": 0.6763, + "step": 34837 + }, + { + "epoch": 0.82, + "grad_norm": 1.4484915467217607, + "learning_rate": 1.6382333436884345e-06, + "loss": 0.8901, + "step": 34838 + }, + { + "epoch": 0.82, + "grad_norm": 1.7639162416688978, + "learning_rate": 1.6378148703836695e-06, + "loss": 0.6028, + "step": 34839 + }, + { + "epoch": 0.82, + "grad_norm": 1.4735796567984847, + "learning_rate": 1.637396445766195e-06, + "loss": 0.8289, + "step": 34840 + }, + { + "epoch": 0.82, + "grad_norm": 1.4795126210704275, + "learning_rate": 1.6369780698384442e-06, + "loss": 0.8208, + "step": 34841 + }, + { + "epoch": 0.82, + "grad_norm": 1.498152974718157, + "learning_rate": 1.6365597426028569e-06, + "loss": 0.7675, + "step": 34842 + }, + { + "epoch": 0.82, + "grad_norm": 1.708398299847132, + "learning_rate": 1.6361414640618645e-06, + "loss": 0.8828, + "step": 34843 + }, + { + "epoch": 0.82, + "grad_norm": 1.5495773336758285, + "learning_rate": 1.6357232342179063e-06, + "loss": 0.7751, + "step": 34844 + }, + { + "epoch": 0.82, + "grad_norm": 1.5175531369469348, + "learning_rate": 1.6353050530734139e-06, + "loss": 0.8579, + "step": 34845 + }, + { + "epoch": 0.82, + "grad_norm": 1.6949640259898175, + "learning_rate": 1.634886920630826e-06, + "loss": 0.8753, + "step": 34846 + }, + { + "epoch": 0.82, + "grad_norm": 1.6093092945382819, + "learning_rate": 1.6344688368925743e-06, + "loss": 0.8126, + "step": 34847 + }, + { + "epoch": 0.82, + "grad_norm": 1.7829188904595603, + "learning_rate": 1.6340508018610913e-06, + "loss": 0.6692, + "step": 34848 + }, + { + "epoch": 0.82, + "grad_norm": 1.6290112693554581, + "learning_rate": 1.6336328155388138e-06, + "loss": 0.8823, + "step": 34849 + }, + { + "epoch": 0.82, + "grad_norm": 0.7534959103266216, + "learning_rate": 1.6332148779281765e-06, + "loss": 0.639, + "step": 34850 + }, + { + "epoch": 0.82, + "grad_norm": 1.6674694481551113, + "learning_rate": 1.6327969890316109e-06, + "loss": 0.7971, + "step": 34851 + }, + { + "epoch": 0.82, + "grad_norm": 1.6606533827527552, + "learning_rate": 1.6323791488515472e-06, + "loss": 0.8987, + "step": 34852 + }, + { + "epoch": 0.82, + "grad_norm": 0.7235932249340021, + "learning_rate": 1.6319613573904226e-06, + "loss": 0.6827, + "step": 34853 + }, + { + "epoch": 0.82, + "grad_norm": 0.7846464422762074, + "learning_rate": 1.6315436146506702e-06, + "loss": 0.7617, + "step": 34854 + }, + { + "epoch": 0.82, + "grad_norm": 1.468286739365478, + "learning_rate": 1.6311259206347207e-06, + "loss": 0.7199, + "step": 34855 + }, + { + "epoch": 0.82, + "grad_norm": 1.8830952651824049, + "learning_rate": 1.6307082753450022e-06, + "loss": 0.7972, + "step": 34856 + }, + { + "epoch": 0.82, + "grad_norm": 1.6613848307294565, + "learning_rate": 1.6302906787839501e-06, + "loss": 0.842, + "step": 34857 + }, + { + "epoch": 0.82, + "grad_norm": 1.6521682471501655, + "learning_rate": 1.6298731309539984e-06, + "loss": 0.6864, + "step": 34858 + }, + { + "epoch": 0.82, + "grad_norm": 1.658271011545625, + "learning_rate": 1.629455631857575e-06, + "loss": 0.9622, + "step": 34859 + }, + { + "epoch": 0.82, + "grad_norm": 1.4250868238486563, + "learning_rate": 1.629038181497109e-06, + "loss": 0.6991, + "step": 34860 + }, + { + "epoch": 0.82, + "grad_norm": 1.610935093384068, + "learning_rate": 1.6286207798750342e-06, + "loss": 0.8398, + "step": 34861 + }, + { + "epoch": 0.82, + "grad_norm": 1.6244102151213309, + "learning_rate": 1.6282034269937785e-06, + "loss": 0.9136, + "step": 34862 + }, + { + "epoch": 0.82, + "grad_norm": 1.7945443034080053, + "learning_rate": 1.6277861228557745e-06, + "loss": 1.0057, + "step": 34863 + }, + { + "epoch": 0.82, + "grad_norm": 0.8250826504082464, + "learning_rate": 1.627368867463448e-06, + "loss": 0.7212, + "step": 34864 + }, + { + "epoch": 0.82, + "grad_norm": 0.7567034815044643, + "learning_rate": 1.6269516608192338e-06, + "loss": 0.7022, + "step": 34865 + }, + { + "epoch": 0.82, + "grad_norm": 1.8894152403608335, + "learning_rate": 1.6265345029255542e-06, + "loss": 0.7933, + "step": 34866 + }, + { + "epoch": 0.82, + "grad_norm": 1.6430717859633572, + "learning_rate": 1.6261173937848451e-06, + "loss": 0.8427, + "step": 34867 + }, + { + "epoch": 0.82, + "grad_norm": 1.593819772082617, + "learning_rate": 1.6257003333995315e-06, + "loss": 0.7326, + "step": 34868 + }, + { + "epoch": 0.82, + "grad_norm": 1.7044544424691186, + "learning_rate": 1.6252833217720386e-06, + "loss": 0.9042, + "step": 34869 + }, + { + "epoch": 0.82, + "grad_norm": 1.5338954216758833, + "learning_rate": 1.6248663589047985e-06, + "loss": 0.9373, + "step": 34870 + }, + { + "epoch": 0.82, + "grad_norm": 1.4949078504425592, + "learning_rate": 1.6244494448002402e-06, + "loss": 0.7201, + "step": 34871 + }, + { + "epoch": 0.82, + "grad_norm": 1.5119907419741532, + "learning_rate": 1.624032579460788e-06, + "loss": 0.6791, + "step": 34872 + }, + { + "epoch": 0.82, + "grad_norm": 0.8169421920030726, + "learning_rate": 1.6236157628888694e-06, + "loss": 0.6923, + "step": 34873 + }, + { + "epoch": 0.82, + "grad_norm": 1.5259351291979617, + "learning_rate": 1.6231989950869099e-06, + "loss": 0.8501, + "step": 34874 + }, + { + "epoch": 0.82, + "grad_norm": 1.8353897764330889, + "learning_rate": 1.6227822760573408e-06, + "loss": 0.7857, + "step": 34875 + }, + { + "epoch": 0.82, + "grad_norm": 1.4295832200287457, + "learning_rate": 1.6223656058025861e-06, + "loss": 0.7348, + "step": 34876 + }, + { + "epoch": 0.82, + "grad_norm": 1.5514456508201109, + "learning_rate": 1.621948984325068e-06, + "loss": 0.9092, + "step": 34877 + }, + { + "epoch": 0.82, + "grad_norm": 1.5633619072167053, + "learning_rate": 1.6215324116272158e-06, + "loss": 0.928, + "step": 34878 + }, + { + "epoch": 0.82, + "grad_norm": 1.5283505795531687, + "learning_rate": 1.6211158877114574e-06, + "loss": 0.7787, + "step": 34879 + }, + { + "epoch": 0.82, + "grad_norm": 1.8558992222807997, + "learning_rate": 1.6206994125802144e-06, + "loss": 0.7894, + "step": 34880 + }, + { + "epoch": 0.82, + "grad_norm": 1.4298410956671268, + "learning_rate": 1.6202829862359093e-06, + "loss": 0.7721, + "step": 34881 + }, + { + "epoch": 0.82, + "grad_norm": 1.4654410087591605, + "learning_rate": 1.6198666086809733e-06, + "loss": 0.8022, + "step": 34882 + }, + { + "epoch": 0.82, + "grad_norm": 1.6039696445717875, + "learning_rate": 1.6194502799178236e-06, + "loss": 0.8038, + "step": 34883 + }, + { + "epoch": 0.82, + "grad_norm": 1.4148670080661816, + "learning_rate": 1.6190339999488902e-06, + "loss": 0.7704, + "step": 34884 + }, + { + "epoch": 0.82, + "grad_norm": 1.4891137983308096, + "learning_rate": 1.6186177687765926e-06, + "loss": 0.9074, + "step": 34885 + }, + { + "epoch": 0.82, + "grad_norm": 1.7204537524545302, + "learning_rate": 1.6182015864033574e-06, + "loss": 0.7826, + "step": 34886 + }, + { + "epoch": 0.82, + "grad_norm": 1.8531955039892265, + "learning_rate": 1.617785452831604e-06, + "loss": 0.8138, + "step": 34887 + }, + { + "epoch": 0.82, + "grad_norm": 1.8549015449829191, + "learning_rate": 1.6173693680637592e-06, + "loss": 0.8113, + "step": 34888 + }, + { + "epoch": 0.82, + "grad_norm": 1.4316920706701064, + "learning_rate": 1.6169533321022446e-06, + "loss": 0.8188, + "step": 34889 + }, + { + "epoch": 0.82, + "grad_norm": 1.7315562833793992, + "learning_rate": 1.6165373449494793e-06, + "loss": 0.8764, + "step": 34890 + }, + { + "epoch": 0.82, + "grad_norm": 1.507934067072229, + "learning_rate": 1.6161214066078878e-06, + "loss": 0.7916, + "step": 34891 + }, + { + "epoch": 0.82, + "grad_norm": 1.8268100618669108, + "learning_rate": 1.615705517079894e-06, + "loss": 0.8161, + "step": 34892 + }, + { + "epoch": 0.82, + "grad_norm": 1.9107641532810127, + "learning_rate": 1.615289676367917e-06, + "loss": 0.8053, + "step": 34893 + }, + { + "epoch": 0.82, + "grad_norm": 1.7387712246504425, + "learning_rate": 1.614873884474376e-06, + "loss": 0.7946, + "step": 34894 + }, + { + "epoch": 0.82, + "grad_norm": 1.99119320862021, + "learning_rate": 1.6144581414016936e-06, + "loss": 0.8034, + "step": 34895 + }, + { + "epoch": 0.82, + "grad_norm": 1.729528908468285, + "learning_rate": 1.614042447152293e-06, + "loss": 0.9153, + "step": 34896 + }, + { + "epoch": 0.82, + "grad_norm": 1.7263133807320248, + "learning_rate": 1.6136268017285928e-06, + "loss": 0.7863, + "step": 34897 + }, + { + "epoch": 0.82, + "grad_norm": 0.7502145520669926, + "learning_rate": 1.6132112051330095e-06, + "loss": 0.7075, + "step": 34898 + }, + { + "epoch": 0.82, + "grad_norm": 1.8133000802550205, + "learning_rate": 1.612795657367966e-06, + "loss": 0.762, + "step": 34899 + }, + { + "epoch": 0.82, + "grad_norm": 1.7711395598521953, + "learning_rate": 1.6123801584358845e-06, + "loss": 0.7027, + "step": 34900 + }, + { + "epoch": 0.82, + "grad_norm": 1.5986060795022707, + "learning_rate": 1.6119647083391798e-06, + "loss": 0.8565, + "step": 34901 + }, + { + "epoch": 0.82, + "grad_norm": 1.5504758556503817, + "learning_rate": 1.6115493070802712e-06, + "loss": 0.9094, + "step": 34902 + }, + { + "epoch": 0.82, + "grad_norm": 1.590534731130395, + "learning_rate": 1.61113395466158e-06, + "loss": 0.9065, + "step": 34903 + }, + { + "epoch": 0.82, + "grad_norm": 1.9953794000868597, + "learning_rate": 1.61071865108552e-06, + "loss": 0.9158, + "step": 34904 + }, + { + "epoch": 0.82, + "grad_norm": 1.5988322148672967, + "learning_rate": 1.6103033963545156e-06, + "loss": 0.9372, + "step": 34905 + }, + { + "epoch": 0.82, + "grad_norm": 1.5627587764998023, + "learning_rate": 1.6098881904709774e-06, + "loss": 0.7056, + "step": 34906 + }, + { + "epoch": 0.82, + "grad_norm": 1.6008292906380934, + "learning_rate": 1.6094730334373287e-06, + "loss": 0.8225, + "step": 34907 + }, + { + "epoch": 0.82, + "grad_norm": 1.7767490088151525, + "learning_rate": 1.6090579252559834e-06, + "loss": 0.8365, + "step": 34908 + }, + { + "epoch": 0.82, + "grad_norm": 1.5662162941422038, + "learning_rate": 1.6086428659293585e-06, + "loss": 0.8739, + "step": 34909 + }, + { + "epoch": 0.82, + "grad_norm": 1.6727891675213045, + "learning_rate": 1.6082278554598763e-06, + "loss": 0.7895, + "step": 34910 + }, + { + "epoch": 0.82, + "grad_norm": 1.4651246323306604, + "learning_rate": 1.6078128938499427e-06, + "loss": 0.8977, + "step": 34911 + }, + { + "epoch": 0.82, + "grad_norm": 2.0795111275042424, + "learning_rate": 1.6073979811019803e-06, + "loss": 0.7607, + "step": 34912 + }, + { + "epoch": 0.82, + "grad_norm": 1.6128502162358354, + "learning_rate": 1.6069831172184035e-06, + "loss": 0.8674, + "step": 34913 + }, + { + "epoch": 0.82, + "grad_norm": 1.666365377761105, + "learning_rate": 1.6065683022016343e-06, + "loss": 0.7492, + "step": 34914 + }, + { + "epoch": 0.82, + "grad_norm": 1.426859822100825, + "learning_rate": 1.6061535360540758e-06, + "loss": 0.7571, + "step": 34915 + }, + { + "epoch": 0.82, + "grad_norm": 1.4958924292370142, + "learning_rate": 1.6057388187781486e-06, + "loss": 0.7859, + "step": 34916 + }, + { + "epoch": 0.82, + "grad_norm": 1.793237471525641, + "learning_rate": 1.6053241503762707e-06, + "loss": 0.7849, + "step": 34917 + }, + { + "epoch": 0.82, + "grad_norm": 1.705004768794769, + "learning_rate": 1.6049095308508521e-06, + "loss": 0.6818, + "step": 34918 + }, + { + "epoch": 0.82, + "grad_norm": 1.8568016924186237, + "learning_rate": 1.6044949602043069e-06, + "loss": 0.883, + "step": 34919 + }, + { + "epoch": 0.82, + "grad_norm": 1.810536409741184, + "learning_rate": 1.6040804384390496e-06, + "loss": 0.8315, + "step": 34920 + }, + { + "epoch": 0.82, + "grad_norm": 1.5451296006097857, + "learning_rate": 1.603665965557497e-06, + "loss": 0.7619, + "step": 34921 + }, + { + "epoch": 0.82, + "grad_norm": 1.5545941367791898, + "learning_rate": 1.6032515415620564e-06, + "loss": 0.9271, + "step": 34922 + }, + { + "epoch": 0.82, + "grad_norm": 1.5659013687405647, + "learning_rate": 1.6028371664551456e-06, + "loss": 0.8019, + "step": 34923 + }, + { + "epoch": 0.82, + "grad_norm": 1.5472754001037792, + "learning_rate": 1.6024228402391762e-06, + "loss": 0.8903, + "step": 34924 + }, + { + "epoch": 0.82, + "grad_norm": 1.7248693887792814, + "learning_rate": 1.6020085629165572e-06, + "loss": 0.8547, + "step": 34925 + }, + { + "epoch": 0.82, + "grad_norm": 1.6411275305110933, + "learning_rate": 1.6015943344897022e-06, + "loss": 0.7796, + "step": 34926 + }, + { + "epoch": 0.82, + "grad_norm": 1.7037855025491604, + "learning_rate": 1.6011801549610273e-06, + "loss": 0.8966, + "step": 34927 + }, + { + "epoch": 0.82, + "grad_norm": 2.0792201861613484, + "learning_rate": 1.6007660243329405e-06, + "loss": 0.7945, + "step": 34928 + }, + { + "epoch": 0.82, + "grad_norm": 1.6970027017507492, + "learning_rate": 1.6003519426078507e-06, + "loss": 0.8288, + "step": 34929 + }, + { + "epoch": 0.82, + "grad_norm": 1.435892190058005, + "learning_rate": 1.5999379097881706e-06, + "loss": 0.7789, + "step": 34930 + }, + { + "epoch": 0.82, + "grad_norm": 0.7369583498673283, + "learning_rate": 1.599523925876314e-06, + "loss": 0.6658, + "step": 34931 + }, + { + "epoch": 0.82, + "grad_norm": 1.5528085367018218, + "learning_rate": 1.5991099908746887e-06, + "loss": 0.777, + "step": 34932 + }, + { + "epoch": 0.82, + "grad_norm": 1.9088207589501087, + "learning_rate": 1.598696104785702e-06, + "loss": 0.7879, + "step": 34933 + }, + { + "epoch": 0.82, + "grad_norm": 1.6081632062199869, + "learning_rate": 1.5982822676117672e-06, + "loss": 0.7622, + "step": 34934 + }, + { + "epoch": 0.82, + "grad_norm": 1.4338769232909243, + "learning_rate": 1.5978684793552946e-06, + "loss": 0.8887, + "step": 34935 + }, + { + "epoch": 0.82, + "grad_norm": 1.5562712006913868, + "learning_rate": 1.5974547400186914e-06, + "loss": 0.9293, + "step": 34936 + }, + { + "epoch": 0.82, + "grad_norm": 2.1190363599028186, + "learning_rate": 1.5970410496043653e-06, + "loss": 0.9053, + "step": 34937 + }, + { + "epoch": 0.82, + "grad_norm": 1.7658989588143528, + "learning_rate": 1.5966274081147293e-06, + "loss": 0.8517, + "step": 34938 + }, + { + "epoch": 0.82, + "grad_norm": 1.8493494472522265, + "learning_rate": 1.5962138155521855e-06, + "loss": 0.8501, + "step": 34939 + }, + { + "epoch": 0.82, + "grad_norm": 1.571123607057389, + "learning_rate": 1.595800271919149e-06, + "loss": 0.7489, + "step": 34940 + }, + { + "epoch": 0.82, + "grad_norm": 1.847499366797101, + "learning_rate": 1.595386777218021e-06, + "loss": 0.8209, + "step": 34941 + }, + { + "epoch": 0.82, + "grad_norm": 0.8270216350490418, + "learning_rate": 1.594973331451214e-06, + "loss": 0.7405, + "step": 34942 + }, + { + "epoch": 0.82, + "grad_norm": 1.605511076933658, + "learning_rate": 1.5945599346211315e-06, + "loss": 0.787, + "step": 34943 + }, + { + "epoch": 0.82, + "grad_norm": 1.4752211276384297, + "learning_rate": 1.5941465867301842e-06, + "loss": 0.7121, + "step": 34944 + }, + { + "epoch": 0.82, + "grad_norm": 1.7321071016912823, + "learning_rate": 1.5937332877807753e-06, + "loss": 0.8082, + "step": 34945 + }, + { + "epoch": 0.82, + "grad_norm": 0.7482653111131462, + "learning_rate": 1.5933200377753145e-06, + "loss": 0.7014, + "step": 34946 + }, + { + "epoch": 0.82, + "grad_norm": 1.4788538732573333, + "learning_rate": 1.5929068367162026e-06, + "loss": 0.8581, + "step": 34947 + }, + { + "epoch": 0.82, + "grad_norm": 3.2462257363872236, + "learning_rate": 1.5924936846058515e-06, + "loss": 0.9161, + "step": 34948 + }, + { + "epoch": 0.82, + "grad_norm": 1.509193543965051, + "learning_rate": 1.5920805814466643e-06, + "loss": 0.7926, + "step": 34949 + }, + { + "epoch": 0.82, + "grad_norm": 1.686556004963282, + "learning_rate": 1.5916675272410442e-06, + "loss": 0.7748, + "step": 34950 + }, + { + "epoch": 0.82, + "grad_norm": 1.6610430168494814, + "learning_rate": 1.5912545219913966e-06, + "loss": 0.8277, + "step": 34951 + }, + { + "epoch": 0.82, + "grad_norm": 1.467068665730009, + "learning_rate": 1.5908415657001297e-06, + "loss": 0.8035, + "step": 34952 + }, + { + "epoch": 0.82, + "grad_norm": 1.451435318859382, + "learning_rate": 1.590428658369646e-06, + "loss": 0.766, + "step": 34953 + }, + { + "epoch": 0.82, + "grad_norm": 1.697148932944595, + "learning_rate": 1.5900158000023469e-06, + "loss": 0.7563, + "step": 34954 + }, + { + "epoch": 0.82, + "grad_norm": 1.5352370850598058, + "learning_rate": 1.5896029906006383e-06, + "loss": 0.9674, + "step": 34955 + }, + { + "epoch": 0.82, + "grad_norm": 1.912641684858911, + "learning_rate": 1.589190230166926e-06, + "loss": 0.704, + "step": 34956 + }, + { + "epoch": 0.82, + "grad_norm": 1.568933622584719, + "learning_rate": 1.5887775187036113e-06, + "loss": 0.7753, + "step": 34957 + }, + { + "epoch": 0.82, + "grad_norm": 1.5006087970407518, + "learning_rate": 1.5883648562130937e-06, + "loss": 0.9051, + "step": 34958 + }, + { + "epoch": 0.82, + "grad_norm": 1.6368758559824725, + "learning_rate": 1.587952242697779e-06, + "loss": 0.7203, + "step": 34959 + }, + { + "epoch": 0.82, + "grad_norm": 1.698042876106373, + "learning_rate": 1.5875396781600727e-06, + "loss": 0.7115, + "step": 34960 + }, + { + "epoch": 0.82, + "grad_norm": 1.6465856607337008, + "learning_rate": 1.5871271626023733e-06, + "loss": 0.8245, + "step": 34961 + }, + { + "epoch": 0.82, + "grad_norm": 1.6451901052383715, + "learning_rate": 1.5867146960270806e-06, + "loss": 0.763, + "step": 34962 + }, + { + "epoch": 0.82, + "grad_norm": 1.5529329243084573, + "learning_rate": 1.5863022784366012e-06, + "loss": 0.8993, + "step": 34963 + }, + { + "epoch": 0.82, + "grad_norm": 2.267125607307456, + "learning_rate": 1.5858899098333314e-06, + "loss": 0.8596, + "step": 34964 + }, + { + "epoch": 0.82, + "grad_norm": 0.8132884275377507, + "learning_rate": 1.5854775902196762e-06, + "loss": 0.6845, + "step": 34965 + }, + { + "epoch": 0.82, + "grad_norm": 1.5511805181740113, + "learning_rate": 1.5850653195980325e-06, + "loss": 0.7257, + "step": 34966 + }, + { + "epoch": 0.82, + "grad_norm": 1.4245592396582236, + "learning_rate": 1.5846530979708053e-06, + "loss": 0.7584, + "step": 34967 + }, + { + "epoch": 0.82, + "grad_norm": 1.4678672803080002, + "learning_rate": 1.584240925340389e-06, + "loss": 0.7437, + "step": 34968 + }, + { + "epoch": 0.82, + "grad_norm": 1.5822088742140068, + "learning_rate": 1.5838288017091885e-06, + "loss": 0.9338, + "step": 34969 + }, + { + "epoch": 0.82, + "grad_norm": 1.6084220675824097, + "learning_rate": 1.583416727079602e-06, + "loss": 0.7703, + "step": 34970 + }, + { + "epoch": 0.82, + "grad_norm": 1.9682827998728445, + "learning_rate": 1.583004701454025e-06, + "loss": 0.7982, + "step": 34971 + }, + { + "epoch": 0.82, + "grad_norm": 1.573454770714319, + "learning_rate": 1.5825927248348604e-06, + "loss": 0.7805, + "step": 34972 + }, + { + "epoch": 0.82, + "grad_norm": 0.7953941297753369, + "learning_rate": 1.5821807972245073e-06, + "loss": 0.731, + "step": 34973 + }, + { + "epoch": 0.82, + "grad_norm": 1.6554979095126003, + "learning_rate": 1.5817689186253627e-06, + "loss": 0.8445, + "step": 34974 + }, + { + "epoch": 0.82, + "grad_norm": 0.7430028082927034, + "learning_rate": 1.5813570890398234e-06, + "loss": 0.7112, + "step": 34975 + }, + { + "epoch": 0.82, + "grad_norm": 1.7270665671234062, + "learning_rate": 1.5809453084702875e-06, + "loss": 0.9835, + "step": 34976 + }, + { + "epoch": 0.82, + "grad_norm": 1.7586873184661047, + "learning_rate": 1.5805335769191555e-06, + "loss": 0.8481, + "step": 34977 + }, + { + "epoch": 0.82, + "grad_norm": 1.8360395981580093, + "learning_rate": 1.580121894388823e-06, + "loss": 0.9493, + "step": 34978 + }, + { + "epoch": 0.82, + "grad_norm": 1.5775025202962325, + "learning_rate": 1.5797102608816838e-06, + "loss": 0.7758, + "step": 34979 + }, + { + "epoch": 0.82, + "grad_norm": 1.6220409932090571, + "learning_rate": 1.5792986764001372e-06, + "loss": 0.8358, + "step": 34980 + }, + { + "epoch": 0.82, + "grad_norm": 0.7920827021965878, + "learning_rate": 1.5788871409465822e-06, + "loss": 0.7373, + "step": 34981 + }, + { + "epoch": 0.82, + "grad_norm": 2.1689316699710224, + "learning_rate": 1.5784756545234126e-06, + "loss": 0.649, + "step": 34982 + }, + { + "epoch": 0.82, + "grad_norm": 1.7252247005003079, + "learning_rate": 1.5780642171330217e-06, + "loss": 0.8422, + "step": 34983 + }, + { + "epoch": 0.82, + "grad_norm": 1.5737262730804389, + "learning_rate": 1.5776528287778093e-06, + "loss": 0.9794, + "step": 34984 + }, + { + "epoch": 0.82, + "grad_norm": 1.5103660750968275, + "learning_rate": 1.5772414894601663e-06, + "loss": 0.9325, + "step": 34985 + }, + { + "epoch": 0.82, + "grad_norm": 1.6364826654524447, + "learning_rate": 1.576830199182493e-06, + "loss": 0.7936, + "step": 34986 + }, + { + "epoch": 0.82, + "grad_norm": 0.7979102664834087, + "learning_rate": 1.5764189579471778e-06, + "loss": 0.7099, + "step": 34987 + }, + { + "epoch": 0.82, + "grad_norm": 1.6450880274852722, + "learning_rate": 1.5760077657566208e-06, + "loss": 0.7263, + "step": 34988 + }, + { + "epoch": 0.82, + "grad_norm": 1.3917719346875768, + "learning_rate": 1.5755966226132114e-06, + "loss": 0.8345, + "step": 34989 + }, + { + "epoch": 0.82, + "grad_norm": 1.7345759337411142, + "learning_rate": 1.5751855285193474e-06, + "loss": 0.8298, + "step": 34990 + }, + { + "epoch": 0.82, + "grad_norm": 1.9948623577807745, + "learning_rate": 1.5747744834774215e-06, + "loss": 0.9349, + "step": 34991 + }, + { + "epoch": 0.82, + "grad_norm": 1.5838612915138723, + "learning_rate": 1.5743634874898228e-06, + "loss": 0.8201, + "step": 34992 + }, + { + "epoch": 0.82, + "grad_norm": 1.6221997378179196, + "learning_rate": 1.5739525405589474e-06, + "loss": 0.7215, + "step": 34993 + }, + { + "epoch": 0.82, + "grad_norm": 1.4829764608233118, + "learning_rate": 1.5735416426871886e-06, + "loss": 0.7483, + "step": 34994 + }, + { + "epoch": 0.82, + "grad_norm": 1.5406775380172943, + "learning_rate": 1.5731307938769426e-06, + "loss": 0.753, + "step": 34995 + }, + { + "epoch": 0.82, + "grad_norm": 1.697787576969082, + "learning_rate": 1.5727199941305914e-06, + "loss": 0.824, + "step": 34996 + }, + { + "epoch": 0.82, + "grad_norm": 1.6139939729200763, + "learning_rate": 1.5723092434505327e-06, + "loss": 0.7302, + "step": 34997 + }, + { + "epoch": 0.82, + "grad_norm": 0.8324967094199087, + "learning_rate": 1.5718985418391609e-06, + "loss": 0.7259, + "step": 34998 + }, + { + "epoch": 0.82, + "grad_norm": 1.630410614345829, + "learning_rate": 1.5714878892988638e-06, + "loss": 0.792, + "step": 34999 + }, + { + "epoch": 0.82, + "grad_norm": 2.975408644892472, + "learning_rate": 1.57107728583203e-06, + "loss": 0.7645, + "step": 35000 + }, + { + "epoch": 0.82, + "grad_norm": 1.5371102761697066, + "learning_rate": 1.5706667314410528e-06, + "loss": 0.729, + "step": 35001 + }, + { + "epoch": 0.82, + "grad_norm": 1.501275475120577, + "learning_rate": 1.570256226128325e-06, + "loss": 0.8309, + "step": 35002 + }, + { + "epoch": 0.82, + "grad_norm": 0.7496960275687417, + "learning_rate": 1.5698457698962344e-06, + "loss": 0.7537, + "step": 35003 + }, + { + "epoch": 0.82, + "grad_norm": 1.6631887929838867, + "learning_rate": 1.569435362747168e-06, + "loss": 0.936, + "step": 35004 + }, + { + "epoch": 0.82, + "grad_norm": 1.6565979528155332, + "learning_rate": 1.5690250046835209e-06, + "loss": 0.9811, + "step": 35005 + }, + { + "epoch": 0.82, + "grad_norm": 1.5174365925026054, + "learning_rate": 1.5686146957076776e-06, + "loss": 0.7486, + "step": 35006 + }, + { + "epoch": 0.82, + "grad_norm": 0.7337412613380754, + "learning_rate": 1.5682044358220272e-06, + "loss": 0.7441, + "step": 35007 + }, + { + "epoch": 0.82, + "grad_norm": 1.7050737311488493, + "learning_rate": 1.5677942250289634e-06, + "loss": 0.8603, + "step": 35008 + }, + { + "epoch": 0.82, + "grad_norm": 1.8122131865720585, + "learning_rate": 1.5673840633308713e-06, + "loss": 0.8204, + "step": 35009 + }, + { + "epoch": 0.82, + "grad_norm": 0.7557275161377275, + "learning_rate": 1.5669739507301362e-06, + "loss": 0.6185, + "step": 35010 + }, + { + "epoch": 0.82, + "grad_norm": 1.644265465038154, + "learning_rate": 1.5665638872291488e-06, + "loss": 0.9235, + "step": 35011 + }, + { + "epoch": 0.82, + "grad_norm": 0.7109267536434497, + "learning_rate": 1.5661538728303016e-06, + "loss": 0.6504, + "step": 35012 + }, + { + "epoch": 0.82, + "grad_norm": 1.6539893121278773, + "learning_rate": 1.5657439075359716e-06, + "loss": 0.7785, + "step": 35013 + }, + { + "epoch": 0.82, + "grad_norm": 1.5844452091846275, + "learning_rate": 1.5653339913485498e-06, + "loss": 0.8287, + "step": 35014 + }, + { + "epoch": 0.82, + "grad_norm": 1.5315384667596783, + "learning_rate": 1.564924124270425e-06, + "loss": 0.7919, + "step": 35015 + }, + { + "epoch": 0.82, + "grad_norm": 1.853033708918298, + "learning_rate": 1.564514306303987e-06, + "loss": 0.809, + "step": 35016 + }, + { + "epoch": 0.82, + "grad_norm": 1.6992899583825978, + "learning_rate": 1.5641045374516117e-06, + "loss": 0.8726, + "step": 35017 + }, + { + "epoch": 0.82, + "grad_norm": 1.6105503795382332, + "learning_rate": 1.563694817715692e-06, + "loss": 0.9304, + "step": 35018 + }, + { + "epoch": 0.83, + "grad_norm": 0.8060989310562097, + "learning_rate": 1.5632851470986132e-06, + "loss": 0.6741, + "step": 35019 + }, + { + "epoch": 0.83, + "grad_norm": 1.6950742723205796, + "learning_rate": 1.5628755256027573e-06, + "loss": 0.6758, + "step": 35020 + }, + { + "epoch": 0.83, + "grad_norm": 1.953360580273725, + "learning_rate": 1.5624659532305142e-06, + "loss": 0.9033, + "step": 35021 + }, + { + "epoch": 0.83, + "grad_norm": 1.4890803155302068, + "learning_rate": 1.5620564299842623e-06, + "loss": 0.8308, + "step": 35022 + }, + { + "epoch": 0.83, + "grad_norm": 1.478456636129854, + "learning_rate": 1.5616469558663927e-06, + "loss": 0.8496, + "step": 35023 + }, + { + "epoch": 0.83, + "grad_norm": 1.3486149007536934, + "learning_rate": 1.5612375308792826e-06, + "loss": 0.801, + "step": 35024 + }, + { + "epoch": 0.83, + "grad_norm": 1.4712398606256802, + "learning_rate": 1.5608281550253224e-06, + "loss": 0.8635, + "step": 35025 + }, + { + "epoch": 0.83, + "grad_norm": 1.6543027051965917, + "learning_rate": 1.5604188283068921e-06, + "loss": 0.7655, + "step": 35026 + }, + { + "epoch": 0.83, + "grad_norm": 1.5642673974177246, + "learning_rate": 1.5600095507263725e-06, + "loss": 0.704, + "step": 35027 + }, + { + "epoch": 0.83, + "grad_norm": 1.7571058542407676, + "learning_rate": 1.55960032228615e-06, + "loss": 0.8253, + "step": 35028 + }, + { + "epoch": 0.83, + "grad_norm": 1.597898164187338, + "learning_rate": 1.5591911429886087e-06, + "loss": 0.8663, + "step": 35029 + }, + { + "epoch": 0.83, + "grad_norm": 1.5134444652938086, + "learning_rate": 1.5587820128361297e-06, + "loss": 0.8279, + "step": 35030 + }, + { + "epoch": 0.83, + "grad_norm": 1.8886846092397895, + "learning_rate": 1.5583729318310902e-06, + "loss": 0.8486, + "step": 35031 + }, + { + "epoch": 0.83, + "grad_norm": 1.772807025486586, + "learning_rate": 1.5579638999758772e-06, + "loss": 0.9134, + "step": 35032 + }, + { + "epoch": 0.83, + "grad_norm": 1.545355374128367, + "learning_rate": 1.5575549172728733e-06, + "loss": 0.8988, + "step": 35033 + }, + { + "epoch": 0.83, + "grad_norm": 1.8612362995906517, + "learning_rate": 1.5571459837244585e-06, + "loss": 0.8394, + "step": 35034 + }, + { + "epoch": 0.83, + "grad_norm": 1.658235725945467, + "learning_rate": 1.556737099333009e-06, + "loss": 0.8626, + "step": 35035 + }, + { + "epoch": 0.83, + "grad_norm": 1.5540611349264666, + "learning_rate": 1.5563282641009092e-06, + "loss": 0.6617, + "step": 35036 + }, + { + "epoch": 0.83, + "grad_norm": 1.5524374202557838, + "learning_rate": 1.555919478030542e-06, + "loss": 0.8228, + "step": 35037 + }, + { + "epoch": 0.83, + "grad_norm": 1.4795416094296385, + "learning_rate": 1.5555107411242854e-06, + "loss": 0.8948, + "step": 35038 + }, + { + "epoch": 0.83, + "grad_norm": 0.8087427655715441, + "learning_rate": 1.5551020533845162e-06, + "loss": 0.6808, + "step": 35039 + }, + { + "epoch": 0.83, + "grad_norm": 2.11580560406824, + "learning_rate": 1.5546934148136196e-06, + "loss": 0.7915, + "step": 35040 + }, + { + "epoch": 0.83, + "grad_norm": 1.9461758082863156, + "learning_rate": 1.5542848254139674e-06, + "loss": 0.9067, + "step": 35041 + }, + { + "epoch": 0.83, + "grad_norm": 1.5847318030698687, + "learning_rate": 1.5538762851879464e-06, + "loss": 0.7715, + "step": 35042 + }, + { + "epoch": 0.83, + "grad_norm": 1.3565330292488142, + "learning_rate": 1.5534677941379295e-06, + "loss": 0.9034, + "step": 35043 + }, + { + "epoch": 0.83, + "grad_norm": 1.6860048285712463, + "learning_rate": 1.5530593522662995e-06, + "loss": 0.828, + "step": 35044 + }, + { + "epoch": 0.83, + "grad_norm": 1.4386500034417917, + "learning_rate": 1.5526509595754291e-06, + "loss": 0.845, + "step": 35045 + }, + { + "epoch": 0.83, + "grad_norm": 1.6829692832617436, + "learning_rate": 1.5522426160677029e-06, + "loss": 0.9536, + "step": 35046 + }, + { + "epoch": 0.83, + "grad_norm": 1.4403529013760135, + "learning_rate": 1.5518343217454934e-06, + "loss": 0.7891, + "step": 35047 + }, + { + "epoch": 0.83, + "grad_norm": 1.5452004993666504, + "learning_rate": 1.5514260766111777e-06, + "loss": 0.8752, + "step": 35048 + }, + { + "epoch": 0.83, + "grad_norm": 1.688391666063098, + "learning_rate": 1.5510178806671328e-06, + "loss": 0.8418, + "step": 35049 + }, + { + "epoch": 0.83, + "grad_norm": 1.7507437917045978, + "learning_rate": 1.5506097339157399e-06, + "loss": 0.8091, + "step": 35050 + }, + { + "epoch": 0.83, + "grad_norm": 2.188755538820646, + "learning_rate": 1.550201636359373e-06, + "loss": 0.8237, + "step": 35051 + }, + { + "epoch": 0.83, + "grad_norm": 1.636200536361201, + "learning_rate": 1.5497935880004034e-06, + "loss": 0.9305, + "step": 35052 + }, + { + "epoch": 0.83, + "grad_norm": 1.6912989306692836, + "learning_rate": 1.5493855888412123e-06, + "loss": 0.7954, + "step": 35053 + }, + { + "epoch": 0.83, + "grad_norm": 1.656805199630053, + "learning_rate": 1.5489776388841748e-06, + "loss": 0.8455, + "step": 35054 + }, + { + "epoch": 0.83, + "grad_norm": 1.7083435440888028, + "learning_rate": 1.5485697381316656e-06, + "loss": 0.8618, + "step": 35055 + }, + { + "epoch": 0.83, + "grad_norm": 1.9960497033145381, + "learning_rate": 1.548161886586057e-06, + "loss": 0.7853, + "step": 35056 + }, + { + "epoch": 0.83, + "grad_norm": 1.7737584171625131, + "learning_rate": 1.5477540842497251e-06, + "loss": 0.8349, + "step": 35057 + }, + { + "epoch": 0.83, + "grad_norm": 1.5396729997778325, + "learning_rate": 1.5473463311250481e-06, + "loss": 0.8333, + "step": 35058 + }, + { + "epoch": 0.83, + "grad_norm": 1.7459562589064004, + "learning_rate": 1.5469386272143961e-06, + "loss": 0.7673, + "step": 35059 + }, + { + "epoch": 0.83, + "grad_norm": 1.4707765470856118, + "learning_rate": 1.5465309725201416e-06, + "loss": 0.7999, + "step": 35060 + }, + { + "epoch": 0.83, + "grad_norm": 1.645364664870184, + "learning_rate": 1.5461233670446618e-06, + "loss": 0.8294, + "step": 35061 + }, + { + "epoch": 0.83, + "grad_norm": 1.619701177452632, + "learning_rate": 1.5457158107903269e-06, + "loss": 0.7689, + "step": 35062 + }, + { + "epoch": 0.83, + "grad_norm": 1.5542989040499866, + "learning_rate": 1.5453083037595128e-06, + "loss": 0.8862, + "step": 35063 + }, + { + "epoch": 0.83, + "grad_norm": 1.486092974847252, + "learning_rate": 1.5449008459545877e-06, + "loss": 0.8367, + "step": 35064 + }, + { + "epoch": 0.83, + "grad_norm": 0.7513377452483766, + "learning_rate": 1.5444934373779296e-06, + "loss": 0.6699, + "step": 35065 + }, + { + "epoch": 0.83, + "grad_norm": 1.5896251248283524, + "learning_rate": 1.5440860780319055e-06, + "loss": 0.8387, + "step": 35066 + }, + { + "epoch": 0.83, + "grad_norm": 1.6384232189461279, + "learning_rate": 1.5436787679188913e-06, + "loss": 0.9545, + "step": 35067 + }, + { + "epoch": 0.83, + "grad_norm": 1.4921359424958693, + "learning_rate": 1.5432715070412552e-06, + "loss": 0.7997, + "step": 35068 + }, + { + "epoch": 0.83, + "grad_norm": 1.678218317227419, + "learning_rate": 1.5428642954013706e-06, + "loss": 0.6766, + "step": 35069 + }, + { + "epoch": 0.83, + "grad_norm": 0.7758083745822217, + "learning_rate": 1.5424571330016059e-06, + "loss": 0.7611, + "step": 35070 + }, + { + "epoch": 0.83, + "grad_norm": 1.4376155375030741, + "learning_rate": 1.5420500198443367e-06, + "loss": 0.8464, + "step": 35071 + }, + { + "epoch": 0.83, + "grad_norm": 1.6675328401115899, + "learning_rate": 1.541642955931929e-06, + "loss": 0.8115, + "step": 35072 + }, + { + "epoch": 0.83, + "grad_norm": 1.5842550856629434, + "learning_rate": 1.541235941266751e-06, + "loss": 0.883, + "step": 35073 + }, + { + "epoch": 0.83, + "grad_norm": 1.6655106708791707, + "learning_rate": 1.5408289758511763e-06, + "loss": 0.7071, + "step": 35074 + }, + { + "epoch": 0.83, + "grad_norm": 0.7183427101291364, + "learning_rate": 1.5404220596875752e-06, + "loss": 0.7148, + "step": 35075 + }, + { + "epoch": 0.83, + "grad_norm": 1.3588522439970538, + "learning_rate": 1.5400151927783158e-06, + "loss": 0.8035, + "step": 35076 + }, + { + "epoch": 0.83, + "grad_norm": 1.4381207939385994, + "learning_rate": 1.5396083751257628e-06, + "loss": 0.8802, + "step": 35077 + }, + { + "epoch": 0.83, + "grad_norm": 1.8303668433458917, + "learning_rate": 1.5392016067322891e-06, + "loss": 0.8072, + "step": 35078 + }, + { + "epoch": 0.83, + "grad_norm": 1.6030426266312374, + "learning_rate": 1.5387948876002645e-06, + "loss": 0.7662, + "step": 35079 + }, + { + "epoch": 0.83, + "grad_norm": 1.8142665023705453, + "learning_rate": 1.5383882177320553e-06, + "loss": 0.7352, + "step": 35080 + }, + { + "epoch": 0.83, + "grad_norm": 1.7804512560037762, + "learning_rate": 1.537981597130026e-06, + "loss": 0.8567, + "step": 35081 + }, + { + "epoch": 0.83, + "grad_norm": 2.3725375732122473, + "learning_rate": 1.537575025796547e-06, + "loss": 0.7639, + "step": 35082 + }, + { + "epoch": 0.83, + "grad_norm": 1.556106545724761, + "learning_rate": 1.5371685037339878e-06, + "loss": 0.8143, + "step": 35083 + }, + { + "epoch": 0.83, + "grad_norm": 0.8719623785289562, + "learning_rate": 1.536762030944713e-06, + "loss": 0.7662, + "step": 35084 + }, + { + "epoch": 0.83, + "grad_norm": 1.8697578763837595, + "learning_rate": 1.536355607431086e-06, + "loss": 0.876, + "step": 35085 + }, + { + "epoch": 0.83, + "grad_norm": 1.7523437355466043, + "learning_rate": 1.5359492331954795e-06, + "loss": 0.8286, + "step": 35086 + }, + { + "epoch": 0.83, + "grad_norm": 1.6981363398395615, + "learning_rate": 1.5355429082402528e-06, + "loss": 0.8427, + "step": 35087 + }, + { + "epoch": 0.83, + "grad_norm": 2.512417443655776, + "learning_rate": 1.5351366325677785e-06, + "loss": 0.7842, + "step": 35088 + }, + { + "epoch": 0.83, + "grad_norm": 1.5108927736151778, + "learning_rate": 1.5347304061804158e-06, + "loss": 0.7065, + "step": 35089 + }, + { + "epoch": 0.83, + "grad_norm": 1.6844194342591325, + "learning_rate": 1.5343242290805348e-06, + "loss": 0.8786, + "step": 35090 + }, + { + "epoch": 0.83, + "grad_norm": 0.7188043576639991, + "learning_rate": 1.5339181012704974e-06, + "loss": 0.6336, + "step": 35091 + }, + { + "epoch": 0.83, + "grad_norm": 1.6064891732925684, + "learning_rate": 1.5335120227526678e-06, + "loss": 0.778, + "step": 35092 + }, + { + "epoch": 0.83, + "grad_norm": 1.6100454657082113, + "learning_rate": 1.5331059935294168e-06, + "loss": 0.7848, + "step": 35093 + }, + { + "epoch": 0.83, + "grad_norm": 1.6846318902460915, + "learning_rate": 1.532700013603098e-06, + "loss": 0.8826, + "step": 35094 + }, + { + "epoch": 0.83, + "grad_norm": 1.8225678872832853, + "learning_rate": 1.5322940829760802e-06, + "loss": 0.9872, + "step": 35095 + }, + { + "epoch": 0.83, + "grad_norm": 1.564025505568297, + "learning_rate": 1.5318882016507286e-06, + "loss": 0.9157, + "step": 35096 + }, + { + "epoch": 0.83, + "grad_norm": 1.6387190010828572, + "learning_rate": 1.531482369629408e-06, + "loss": 0.7805, + "step": 35097 + }, + { + "epoch": 0.83, + "grad_norm": 1.6186427480030583, + "learning_rate": 1.531076586914474e-06, + "loss": 0.8925, + "step": 35098 + }, + { + "epoch": 0.83, + "grad_norm": 1.4603087407450432, + "learning_rate": 1.5306708535082937e-06, + "loss": 0.7597, + "step": 35099 + }, + { + "epoch": 0.83, + "grad_norm": 0.7348742469376577, + "learning_rate": 1.530265169413231e-06, + "loss": 0.6715, + "step": 35100 + }, + { + "epoch": 0.83, + "grad_norm": 1.821815932468281, + "learning_rate": 1.5298595346316457e-06, + "loss": 0.817, + "step": 35101 + }, + { + "epoch": 0.83, + "grad_norm": 2.0336631230125493, + "learning_rate": 1.5294539491658978e-06, + "loss": 0.7794, + "step": 35102 + }, + { + "epoch": 0.83, + "grad_norm": 1.4197661160767223, + "learning_rate": 1.5290484130183515e-06, + "loss": 0.7468, + "step": 35103 + }, + { + "epoch": 0.83, + "grad_norm": 1.58676002306853, + "learning_rate": 1.5286429261913682e-06, + "loss": 0.7992, + "step": 35104 + }, + { + "epoch": 0.83, + "grad_norm": 2.7298407166515686, + "learning_rate": 1.5282374886873063e-06, + "loss": 0.7455, + "step": 35105 + }, + { + "epoch": 0.83, + "grad_norm": 1.7419094028584983, + "learning_rate": 1.5278321005085296e-06, + "loss": 0.8156, + "step": 35106 + }, + { + "epoch": 0.83, + "grad_norm": 2.102157684840973, + "learning_rate": 1.5274267616573968e-06, + "loss": 0.9229, + "step": 35107 + }, + { + "epoch": 0.83, + "grad_norm": 1.5895579188808489, + "learning_rate": 1.5270214721362653e-06, + "loss": 0.8048, + "step": 35108 + }, + { + "epoch": 0.83, + "grad_norm": 1.7676001806391344, + "learning_rate": 1.5266162319474974e-06, + "loss": 0.775, + "step": 35109 + }, + { + "epoch": 0.83, + "grad_norm": 1.5542103017662918, + "learning_rate": 1.5262110410934561e-06, + "loss": 0.7785, + "step": 35110 + }, + { + "epoch": 0.83, + "grad_norm": 1.7481490342427584, + "learning_rate": 1.5258058995764946e-06, + "loss": 0.7778, + "step": 35111 + }, + { + "epoch": 0.83, + "grad_norm": 1.6116702723655143, + "learning_rate": 1.5254008073989734e-06, + "loss": 0.9295, + "step": 35112 + }, + { + "epoch": 0.83, + "grad_norm": 1.8662656739101153, + "learning_rate": 1.5249957645632508e-06, + "loss": 0.8466, + "step": 35113 + }, + { + "epoch": 0.83, + "grad_norm": 1.652769826953919, + "learning_rate": 1.5245907710716912e-06, + "loss": 0.787, + "step": 35114 + }, + { + "epoch": 0.83, + "grad_norm": 1.6058282441709564, + "learning_rate": 1.524185826926643e-06, + "loss": 0.8226, + "step": 35115 + }, + { + "epoch": 0.83, + "grad_norm": 1.7309367182714024, + "learning_rate": 1.5237809321304674e-06, + "loss": 0.9334, + "step": 35116 + }, + { + "epoch": 0.83, + "grad_norm": 2.6231340217786325, + "learning_rate": 1.523376086685523e-06, + "loss": 0.8986, + "step": 35117 + }, + { + "epoch": 0.83, + "grad_norm": 1.927286422175019, + "learning_rate": 1.5229712905941696e-06, + "loss": 0.6711, + "step": 35118 + }, + { + "epoch": 0.83, + "grad_norm": 1.6306780177488, + "learning_rate": 1.52256654385876e-06, + "loss": 0.8548, + "step": 35119 + }, + { + "epoch": 0.83, + "grad_norm": 2.198471713083713, + "learning_rate": 1.5221618464816501e-06, + "loss": 0.7882, + "step": 35120 + }, + { + "epoch": 0.83, + "grad_norm": 1.6305567057756467, + "learning_rate": 1.5217571984652012e-06, + "loss": 0.7451, + "step": 35121 + }, + { + "epoch": 0.83, + "grad_norm": 1.5833694530766955, + "learning_rate": 1.5213525998117628e-06, + "loss": 0.9588, + "step": 35122 + }, + { + "epoch": 0.83, + "grad_norm": 1.6927395046516955, + "learning_rate": 1.5209480505236963e-06, + "loss": 0.853, + "step": 35123 + }, + { + "epoch": 0.83, + "grad_norm": 1.8067308507600999, + "learning_rate": 1.5205435506033529e-06, + "loss": 0.7821, + "step": 35124 + }, + { + "epoch": 0.83, + "grad_norm": 1.5084815449573972, + "learning_rate": 1.5201391000530908e-06, + "loss": 0.8428, + "step": 35125 + }, + { + "epoch": 0.83, + "grad_norm": 1.5643376661704946, + "learning_rate": 1.5197346988752615e-06, + "loss": 0.7573, + "step": 35126 + }, + { + "epoch": 0.83, + "grad_norm": 1.9573718697064788, + "learning_rate": 1.5193303470722243e-06, + "loss": 0.9286, + "step": 35127 + }, + { + "epoch": 0.83, + "grad_norm": 1.7859549705326383, + "learning_rate": 1.5189260446463306e-06, + "loss": 0.798, + "step": 35128 + }, + { + "epoch": 0.83, + "grad_norm": 1.5196457206605913, + "learning_rate": 1.5185217915999328e-06, + "loss": 0.8148, + "step": 35129 + }, + { + "epoch": 0.83, + "grad_norm": 2.404745543439277, + "learning_rate": 1.518117587935385e-06, + "loss": 0.7989, + "step": 35130 + }, + { + "epoch": 0.83, + "grad_norm": 1.5009325513866667, + "learning_rate": 1.517713433655046e-06, + "loss": 0.764, + "step": 35131 + }, + { + "epoch": 0.83, + "grad_norm": 1.500002738415713, + "learning_rate": 1.5173093287612628e-06, + "loss": 0.8382, + "step": 35132 + }, + { + "epoch": 0.83, + "grad_norm": 2.1069850132138965, + "learning_rate": 1.5169052732563895e-06, + "loss": 0.7902, + "step": 35133 + }, + { + "epoch": 0.83, + "grad_norm": 1.5689752482254238, + "learning_rate": 1.5165012671427793e-06, + "loss": 0.9392, + "step": 35134 + }, + { + "epoch": 0.83, + "grad_norm": 1.4911147832472555, + "learning_rate": 1.516097310422786e-06, + "loss": 0.8446, + "step": 35135 + }, + { + "epoch": 0.83, + "grad_norm": 1.6428166979092909, + "learning_rate": 1.5156934030987603e-06, + "loss": 0.8104, + "step": 35136 + }, + { + "epoch": 0.83, + "grad_norm": 1.9063511267351454, + "learning_rate": 1.515289545173052e-06, + "loss": 0.7784, + "step": 35137 + }, + { + "epoch": 0.83, + "grad_norm": 1.610701958194524, + "learning_rate": 1.5148857366480141e-06, + "loss": 0.8783, + "step": 35138 + }, + { + "epoch": 0.83, + "grad_norm": 1.356842478825016, + "learning_rate": 1.514481977525999e-06, + "loss": 0.8585, + "step": 35139 + }, + { + "epoch": 0.83, + "grad_norm": 1.6197478854372476, + "learning_rate": 1.514078267809358e-06, + "loss": 0.8332, + "step": 35140 + }, + { + "epoch": 0.83, + "grad_norm": 1.591068446457414, + "learning_rate": 1.513674607500436e-06, + "loss": 0.7611, + "step": 35141 + }, + { + "epoch": 0.83, + "grad_norm": 0.7447335681879962, + "learning_rate": 1.5132709966015901e-06, + "loss": 0.678, + "step": 35142 + }, + { + "epoch": 0.83, + "grad_norm": 1.5389303025285919, + "learning_rate": 1.512867435115165e-06, + "loss": 0.7997, + "step": 35143 + }, + { + "epoch": 0.83, + "grad_norm": 1.4307596754487557, + "learning_rate": 1.5124639230435157e-06, + "loss": 0.8072, + "step": 35144 + }, + { + "epoch": 0.83, + "grad_norm": 1.5438463237875721, + "learning_rate": 1.5120604603889855e-06, + "loss": 0.8764, + "step": 35145 + }, + { + "epoch": 0.83, + "grad_norm": 1.669053146217471, + "learning_rate": 1.5116570471539294e-06, + "loss": 0.8907, + "step": 35146 + }, + { + "epoch": 0.83, + "grad_norm": 0.7630407726721751, + "learning_rate": 1.5112536833406898e-06, + "loss": 0.7133, + "step": 35147 + }, + { + "epoch": 0.83, + "grad_norm": 1.4758106706461736, + "learning_rate": 1.5108503689516218e-06, + "loss": 0.841, + "step": 35148 + }, + { + "epoch": 0.83, + "grad_norm": 1.82757716613104, + "learning_rate": 1.5104471039890711e-06, + "loss": 0.7549, + "step": 35149 + }, + { + "epoch": 0.83, + "grad_norm": 1.5772220689604113, + "learning_rate": 1.5100438884553826e-06, + "loss": 0.7979, + "step": 35150 + }, + { + "epoch": 0.83, + "grad_norm": 1.6978836626088287, + "learning_rate": 1.5096407223529053e-06, + "loss": 0.8349, + "step": 35151 + }, + { + "epoch": 0.83, + "grad_norm": 1.57146199730502, + "learning_rate": 1.5092376056839908e-06, + "loss": 0.8806, + "step": 35152 + }, + { + "epoch": 0.83, + "grad_norm": 1.753533577749429, + "learning_rate": 1.5088345384509838e-06, + "loss": 0.7854, + "step": 35153 + }, + { + "epoch": 0.83, + "grad_norm": 1.7582025452344898, + "learning_rate": 1.5084315206562272e-06, + "loss": 0.6769, + "step": 35154 + }, + { + "epoch": 0.83, + "grad_norm": 1.3847355531213636, + "learning_rate": 1.508028552302071e-06, + "loss": 0.8865, + "step": 35155 + }, + { + "epoch": 0.83, + "grad_norm": 1.4196223220277575, + "learning_rate": 1.5076256333908635e-06, + "loss": 0.7295, + "step": 35156 + }, + { + "epoch": 0.83, + "grad_norm": 1.500665950451119, + "learning_rate": 1.5072227639249482e-06, + "loss": 0.8847, + "step": 35157 + }, + { + "epoch": 0.83, + "grad_norm": 1.5295127028998132, + "learning_rate": 1.5068199439066678e-06, + "loss": 0.7596, + "step": 35158 + }, + { + "epoch": 0.83, + "grad_norm": 1.7809781301142533, + "learning_rate": 1.5064171733383715e-06, + "loss": 0.7651, + "step": 35159 + }, + { + "epoch": 0.83, + "grad_norm": 1.7692035596037894, + "learning_rate": 1.5060144522224052e-06, + "loss": 0.929, + "step": 35160 + }, + { + "epoch": 0.83, + "grad_norm": 0.8160216835143108, + "learning_rate": 1.5056117805611115e-06, + "loss": 0.6959, + "step": 35161 + }, + { + "epoch": 0.83, + "grad_norm": 1.8319492129498287, + "learning_rate": 1.505209158356834e-06, + "loss": 0.714, + "step": 35162 + }, + { + "epoch": 0.83, + "grad_norm": 1.4572099842385444, + "learning_rate": 1.50480658561192e-06, + "loss": 0.7335, + "step": 35163 + }, + { + "epoch": 0.83, + "grad_norm": 1.6763616386956133, + "learning_rate": 1.5044040623287092e-06, + "loss": 0.826, + "step": 35164 + }, + { + "epoch": 0.83, + "grad_norm": 1.6588286927878595, + "learning_rate": 1.5040015885095494e-06, + "loss": 0.6951, + "step": 35165 + }, + { + "epoch": 0.83, + "grad_norm": 1.633767510558133, + "learning_rate": 1.5035991641567803e-06, + "loss": 0.8668, + "step": 35166 + }, + { + "epoch": 0.83, + "grad_norm": 1.5992381849263113, + "learning_rate": 1.5031967892727494e-06, + "loss": 0.6692, + "step": 35167 + }, + { + "epoch": 0.83, + "grad_norm": 1.5303614695257461, + "learning_rate": 1.5027944638597947e-06, + "loss": 0.7849, + "step": 35168 + }, + { + "epoch": 0.83, + "grad_norm": 1.6314351500612294, + "learning_rate": 1.502392187920263e-06, + "loss": 0.9401, + "step": 35169 + }, + { + "epoch": 0.83, + "grad_norm": 1.5199402345359099, + "learning_rate": 1.5019899614564937e-06, + "loss": 0.8478, + "step": 35170 + }, + { + "epoch": 0.83, + "grad_norm": 1.7747383552862694, + "learning_rate": 1.5015877844708272e-06, + "loss": 0.8106, + "step": 35171 + }, + { + "epoch": 0.83, + "grad_norm": 1.6409079492548897, + "learning_rate": 1.501185656965607e-06, + "loss": 0.9248, + "step": 35172 + }, + { + "epoch": 0.83, + "grad_norm": 0.7596495910058663, + "learning_rate": 1.500783578943177e-06, + "loss": 0.6894, + "step": 35173 + }, + { + "epoch": 0.83, + "grad_norm": 1.6907278169350377, + "learning_rate": 1.500381550405876e-06, + "loss": 0.8082, + "step": 35174 + }, + { + "epoch": 0.83, + "grad_norm": 1.8000235552548314, + "learning_rate": 1.4999795713560428e-06, + "loss": 0.9604, + "step": 35175 + }, + { + "epoch": 0.83, + "grad_norm": 1.6326881586041209, + "learning_rate": 1.4995776417960184e-06, + "loss": 0.6937, + "step": 35176 + }, + { + "epoch": 0.83, + "grad_norm": 1.9409699979742128, + "learning_rate": 1.4991757617281466e-06, + "loss": 0.8958, + "step": 35177 + }, + { + "epoch": 0.83, + "grad_norm": 1.6474859875129604, + "learning_rate": 1.4987739311547656e-06, + "loss": 0.9312, + "step": 35178 + }, + { + "epoch": 0.83, + "grad_norm": 1.6882394005602939, + "learning_rate": 1.4983721500782122e-06, + "loss": 0.782, + "step": 35179 + }, + { + "epoch": 0.83, + "grad_norm": 1.4719778711358766, + "learning_rate": 1.497970418500827e-06, + "loss": 0.7922, + "step": 35180 + }, + { + "epoch": 0.83, + "grad_norm": 1.654842968896338, + "learning_rate": 1.4975687364249513e-06, + "loss": 0.908, + "step": 35181 + }, + { + "epoch": 0.83, + "grad_norm": 1.7464125507420387, + "learning_rate": 1.4971671038529235e-06, + "loss": 0.8854, + "step": 35182 + }, + { + "epoch": 0.83, + "grad_norm": 2.064029792176515, + "learning_rate": 1.496765520787078e-06, + "loss": 0.7462, + "step": 35183 + }, + { + "epoch": 0.83, + "grad_norm": 1.5961714878178546, + "learning_rate": 1.4963639872297586e-06, + "loss": 0.8812, + "step": 35184 + }, + { + "epoch": 0.83, + "grad_norm": 1.738603046954485, + "learning_rate": 1.4959625031832969e-06, + "loss": 0.8877, + "step": 35185 + }, + { + "epoch": 0.83, + "grad_norm": 1.5617421125433701, + "learning_rate": 1.4955610686500365e-06, + "loss": 0.759, + "step": 35186 + }, + { + "epoch": 0.83, + "grad_norm": 1.6712463148868373, + "learning_rate": 1.4951596836323102e-06, + "loss": 0.7534, + "step": 35187 + }, + { + "epoch": 0.83, + "grad_norm": 1.9208783856292206, + "learning_rate": 1.494758348132459e-06, + "loss": 0.8333, + "step": 35188 + }, + { + "epoch": 0.83, + "grad_norm": 1.4272994616255443, + "learning_rate": 1.4943570621528148e-06, + "loss": 0.9183, + "step": 35189 + }, + { + "epoch": 0.83, + "grad_norm": 2.07034573611255, + "learning_rate": 1.4939558256957166e-06, + "loss": 0.7332, + "step": 35190 + }, + { + "epoch": 0.83, + "grad_norm": 1.63635294939852, + "learning_rate": 1.4935546387635047e-06, + "loss": 0.9253, + "step": 35191 + }, + { + "epoch": 0.83, + "grad_norm": 1.6844718548432622, + "learning_rate": 1.4931535013585075e-06, + "loss": 0.7401, + "step": 35192 + }, + { + "epoch": 0.83, + "grad_norm": 1.8232329395142144, + "learning_rate": 1.4927524134830629e-06, + "loss": 0.8081, + "step": 35193 + }, + { + "epoch": 0.83, + "grad_norm": 1.6430562705418874, + "learning_rate": 1.492351375139507e-06, + "loss": 0.7709, + "step": 35194 + }, + { + "epoch": 0.83, + "grad_norm": 1.7916047210229122, + "learning_rate": 1.4919503863301799e-06, + "loss": 0.8349, + "step": 35195 + }, + { + "epoch": 0.83, + "grad_norm": 1.585173276575349, + "learning_rate": 1.4915494470574065e-06, + "loss": 0.8238, + "step": 35196 + }, + { + "epoch": 0.83, + "grad_norm": 1.7090896308876382, + "learning_rate": 1.4911485573235262e-06, + "loss": 0.9332, + "step": 35197 + }, + { + "epoch": 0.83, + "grad_norm": 1.6834930459434787, + "learning_rate": 1.4907477171308727e-06, + "loss": 0.9318, + "step": 35198 + }, + { + "epoch": 0.83, + "grad_norm": 1.7635913945004142, + "learning_rate": 1.4903469264817838e-06, + "loss": 0.9548, + "step": 35199 + }, + { + "epoch": 0.83, + "grad_norm": 1.9215681385593528, + "learning_rate": 1.4899461853785857e-06, + "loss": 0.7659, + "step": 35200 + }, + { + "epoch": 0.83, + "grad_norm": 1.7443222423103835, + "learning_rate": 1.4895454938236142e-06, + "loss": 0.8599, + "step": 35201 + }, + { + "epoch": 0.83, + "grad_norm": 1.8388644236846732, + "learning_rate": 1.4891448518192065e-06, + "loss": 0.8779, + "step": 35202 + }, + { + "epoch": 0.83, + "grad_norm": 1.521950199341215, + "learning_rate": 1.4887442593676893e-06, + "loss": 0.7669, + "step": 35203 + }, + { + "epoch": 0.83, + "grad_norm": 1.4702086244642891, + "learning_rate": 1.4883437164713999e-06, + "loss": 0.8018, + "step": 35204 + }, + { + "epoch": 0.83, + "grad_norm": 1.5032233329896698, + "learning_rate": 1.4879432231326663e-06, + "loss": 0.8534, + "step": 35205 + }, + { + "epoch": 0.83, + "grad_norm": 1.4599836533511168, + "learning_rate": 1.4875427793538233e-06, + "loss": 0.843, + "step": 35206 + }, + { + "epoch": 0.83, + "grad_norm": 1.6020571596791244, + "learning_rate": 1.487142385137199e-06, + "loss": 0.806, + "step": 35207 + }, + { + "epoch": 0.83, + "grad_norm": 1.5396446148731344, + "learning_rate": 1.4867420404851306e-06, + "loss": 0.8867, + "step": 35208 + }, + { + "epoch": 0.83, + "grad_norm": 1.5949470822853569, + "learning_rate": 1.486341745399944e-06, + "loss": 0.8456, + "step": 35209 + }, + { + "epoch": 0.83, + "grad_norm": 1.6393143299871373, + "learning_rate": 1.4859414998839694e-06, + "loss": 0.887, + "step": 35210 + }, + { + "epoch": 0.83, + "grad_norm": 1.7146656255908033, + "learning_rate": 1.4855413039395383e-06, + "loss": 0.7608, + "step": 35211 + }, + { + "epoch": 0.83, + "grad_norm": 1.6371666834568452, + "learning_rate": 1.4851411575689845e-06, + "loss": 0.8016, + "step": 35212 + }, + { + "epoch": 0.83, + "grad_norm": 1.676075715464574, + "learning_rate": 1.4847410607746337e-06, + "loss": 0.8148, + "step": 35213 + }, + { + "epoch": 0.83, + "grad_norm": 1.5255661319223697, + "learning_rate": 1.4843410135588155e-06, + "loss": 0.7051, + "step": 35214 + }, + { + "epoch": 0.83, + "grad_norm": 1.5247806316093127, + "learning_rate": 1.4839410159238587e-06, + "loss": 0.7921, + "step": 35215 + }, + { + "epoch": 0.83, + "grad_norm": 1.7588548801194408, + "learning_rate": 1.4835410678720963e-06, + "loss": 0.879, + "step": 35216 + }, + { + "epoch": 0.83, + "grad_norm": 1.5238396632061872, + "learning_rate": 1.483141169405854e-06, + "loss": 0.7973, + "step": 35217 + }, + { + "epoch": 0.83, + "grad_norm": 1.5119331330910235, + "learning_rate": 1.4827413205274565e-06, + "loss": 0.9249, + "step": 35218 + }, + { + "epoch": 0.83, + "grad_norm": 0.741475709425425, + "learning_rate": 1.4823415212392378e-06, + "loss": 0.6841, + "step": 35219 + }, + { + "epoch": 0.83, + "grad_norm": 1.760381419163689, + "learning_rate": 1.4819417715435247e-06, + "loss": 0.8044, + "step": 35220 + }, + { + "epoch": 0.83, + "grad_norm": 1.5072941138945517, + "learning_rate": 1.481542071442643e-06, + "loss": 0.7831, + "step": 35221 + }, + { + "epoch": 0.83, + "grad_norm": 1.7110517606361737, + "learning_rate": 1.481142420938918e-06, + "loss": 0.8892, + "step": 35222 + }, + { + "epoch": 0.83, + "grad_norm": 1.6343827982384214, + "learning_rate": 1.4807428200346817e-06, + "loss": 0.8559, + "step": 35223 + }, + { + "epoch": 0.83, + "grad_norm": 1.6041115262015193, + "learning_rate": 1.480343268732255e-06, + "loss": 0.8962, + "step": 35224 + }, + { + "epoch": 0.83, + "grad_norm": 1.8177633656570058, + "learning_rate": 1.4799437670339701e-06, + "loss": 0.7103, + "step": 35225 + }, + { + "epoch": 0.83, + "grad_norm": 1.5734764554007736, + "learning_rate": 1.4795443149421473e-06, + "loss": 0.8893, + "step": 35226 + }, + { + "epoch": 0.83, + "grad_norm": 1.4741368336356881, + "learning_rate": 1.4791449124591173e-06, + "loss": 0.7873, + "step": 35227 + }, + { + "epoch": 0.83, + "grad_norm": 2.289193105587639, + "learning_rate": 1.4787455595872002e-06, + "loss": 0.8814, + "step": 35228 + }, + { + "epoch": 0.83, + "grad_norm": 1.4937926901366176, + "learning_rate": 1.4783462563287277e-06, + "loss": 0.6255, + "step": 35229 + }, + { + "epoch": 0.83, + "grad_norm": 1.5661914429849957, + "learning_rate": 1.477947002686021e-06, + "loss": 0.8921, + "step": 35230 + }, + { + "epoch": 0.83, + "grad_norm": 1.7085460222420383, + "learning_rate": 1.477547798661403e-06, + "loss": 0.8279, + "step": 35231 + }, + { + "epoch": 0.83, + "grad_norm": 1.48195987682822, + "learning_rate": 1.477148644257198e-06, + "loss": 0.8044, + "step": 35232 + }, + { + "epoch": 0.83, + "grad_norm": 1.6950507818972975, + "learning_rate": 1.4767495394757359e-06, + "loss": 0.8166, + "step": 35233 + }, + { + "epoch": 0.83, + "grad_norm": 1.825057899645854, + "learning_rate": 1.4763504843193366e-06, + "loss": 0.7937, + "step": 35234 + }, + { + "epoch": 0.83, + "grad_norm": 1.4371089355586542, + "learning_rate": 1.4759514787903195e-06, + "loss": 0.6947, + "step": 35235 + }, + { + "epoch": 0.83, + "grad_norm": 1.5036667916082094, + "learning_rate": 1.4755525228910128e-06, + "loss": 0.6994, + "step": 35236 + }, + { + "epoch": 0.83, + "grad_norm": 1.4511984146680055, + "learning_rate": 1.4751536166237402e-06, + "loss": 0.8183, + "step": 35237 + }, + { + "epoch": 0.83, + "grad_norm": 2.858001282508594, + "learning_rate": 1.4747547599908218e-06, + "loss": 0.8486, + "step": 35238 + }, + { + "epoch": 0.83, + "grad_norm": 1.6324869086790719, + "learning_rate": 1.4743559529945784e-06, + "loss": 0.7907, + "step": 35239 + }, + { + "epoch": 0.83, + "grad_norm": 1.856523852578237, + "learning_rate": 1.4739571956373333e-06, + "loss": 0.8988, + "step": 35240 + }, + { + "epoch": 0.83, + "grad_norm": 1.8662079878007243, + "learning_rate": 1.4735584879214116e-06, + "loss": 0.8072, + "step": 35241 + }, + { + "epoch": 0.83, + "grad_norm": 1.5742063826531896, + "learning_rate": 1.4731598298491313e-06, + "loss": 0.882, + "step": 35242 + }, + { + "epoch": 0.83, + "grad_norm": 1.4439550095167029, + "learning_rate": 1.4727612214228115e-06, + "loss": 0.8756, + "step": 35243 + }, + { + "epoch": 0.83, + "grad_norm": 1.9810058441787612, + "learning_rate": 1.4723626626447784e-06, + "loss": 0.8905, + "step": 35244 + }, + { + "epoch": 0.83, + "grad_norm": 1.6155962976939926, + "learning_rate": 1.471964153517348e-06, + "loss": 0.8394, + "step": 35245 + }, + { + "epoch": 0.83, + "grad_norm": 1.42908103300342, + "learning_rate": 1.4715656940428437e-06, + "loss": 0.789, + "step": 35246 + }, + { + "epoch": 0.83, + "grad_norm": 1.8877603352218526, + "learning_rate": 1.4711672842235814e-06, + "loss": 0.7956, + "step": 35247 + }, + { + "epoch": 0.83, + "grad_norm": 1.6144456277090458, + "learning_rate": 1.470768924061886e-06, + "loss": 0.8849, + "step": 35248 + }, + { + "epoch": 0.83, + "grad_norm": 1.7832900669942109, + "learning_rate": 1.4703706135600715e-06, + "loss": 0.7578, + "step": 35249 + }, + { + "epoch": 0.83, + "grad_norm": 1.678265386322677, + "learning_rate": 1.4699723527204623e-06, + "loss": 0.884, + "step": 35250 + }, + { + "epoch": 0.83, + "grad_norm": 1.7915823672642153, + "learning_rate": 1.4695741415453757e-06, + "loss": 0.927, + "step": 35251 + }, + { + "epoch": 0.83, + "grad_norm": 1.5708073166809695, + "learning_rate": 1.4691759800371252e-06, + "loss": 0.9784, + "step": 35252 + }, + { + "epoch": 0.83, + "grad_norm": 1.409957048455459, + "learning_rate": 1.4687778681980335e-06, + "loss": 0.6553, + "step": 35253 + }, + { + "epoch": 0.83, + "grad_norm": 1.7257104903692557, + "learning_rate": 1.468379806030421e-06, + "loss": 0.8724, + "step": 35254 + }, + { + "epoch": 0.83, + "grad_norm": 1.7712572134099323, + "learning_rate": 1.4679817935366014e-06, + "loss": 0.8048, + "step": 35255 + }, + { + "epoch": 0.83, + "grad_norm": 1.807493330423973, + "learning_rate": 1.4675838307188916e-06, + "loss": 0.8582, + "step": 35256 + }, + { + "epoch": 0.83, + "grad_norm": 1.610233586272662, + "learning_rate": 1.4671859175796087e-06, + "loss": 0.8599, + "step": 35257 + }, + { + "epoch": 0.83, + "grad_norm": 1.6535242782791482, + "learning_rate": 1.4667880541210744e-06, + "loss": 0.9695, + "step": 35258 + }, + { + "epoch": 0.83, + "grad_norm": 1.5734438801115984, + "learning_rate": 1.4663902403456009e-06, + "loss": 0.768, + "step": 35259 + }, + { + "epoch": 0.83, + "grad_norm": 1.5545422780320297, + "learning_rate": 1.4659924762555033e-06, + "loss": 0.9106, + "step": 35260 + }, + { + "epoch": 0.83, + "grad_norm": 1.8629016616715428, + "learning_rate": 1.4655947618530998e-06, + "loss": 0.7903, + "step": 35261 + }, + { + "epoch": 0.83, + "grad_norm": 2.0409952584190494, + "learning_rate": 1.465197097140707e-06, + "loss": 0.7521, + "step": 35262 + }, + { + "epoch": 0.83, + "grad_norm": 1.592932642850189, + "learning_rate": 1.464799482120639e-06, + "loss": 0.8115, + "step": 35263 + }, + { + "epoch": 0.83, + "grad_norm": 1.4979168717842106, + "learning_rate": 1.4644019167952084e-06, + "loss": 0.8215, + "step": 35264 + }, + { + "epoch": 0.83, + "grad_norm": 1.6304444561167675, + "learning_rate": 1.4640044011667343e-06, + "loss": 0.7935, + "step": 35265 + }, + { + "epoch": 0.83, + "grad_norm": 0.744514203050781, + "learning_rate": 1.463606935237526e-06, + "loss": 0.6638, + "step": 35266 + }, + { + "epoch": 0.83, + "grad_norm": 1.6218210033374303, + "learning_rate": 1.4632095190099039e-06, + "loss": 0.8126, + "step": 35267 + }, + { + "epoch": 0.83, + "grad_norm": 1.52252638946752, + "learning_rate": 1.462812152486176e-06, + "loss": 0.8172, + "step": 35268 + }, + { + "epoch": 0.83, + "grad_norm": 1.7068257225169428, + "learning_rate": 1.4624148356686619e-06, + "loss": 0.8366, + "step": 35269 + }, + { + "epoch": 0.83, + "grad_norm": 2.262256540670229, + "learning_rate": 1.4620175685596683e-06, + "loss": 0.7429, + "step": 35270 + }, + { + "epoch": 0.83, + "grad_norm": 2.058310726786244, + "learning_rate": 1.4616203511615134e-06, + "loss": 0.9385, + "step": 35271 + }, + { + "epoch": 0.83, + "grad_norm": 1.6352596213447914, + "learning_rate": 1.461223183476509e-06, + "loss": 0.9269, + "step": 35272 + }, + { + "epoch": 0.83, + "grad_norm": 1.7844433895951193, + "learning_rate": 1.4608260655069639e-06, + "loss": 0.8426, + "step": 35273 + }, + { + "epoch": 0.83, + "grad_norm": 1.7493194986319351, + "learning_rate": 1.4604289972551933e-06, + "loss": 0.9274, + "step": 35274 + }, + { + "epoch": 0.83, + "grad_norm": 1.5592586652558953, + "learning_rate": 1.4600319787235073e-06, + "loss": 0.7579, + "step": 35275 + }, + { + "epoch": 0.83, + "grad_norm": 1.6497107298500806, + "learning_rate": 1.4596350099142243e-06, + "loss": 1.0266, + "step": 35276 + }, + { + "epoch": 0.83, + "grad_norm": 1.5413617859507107, + "learning_rate": 1.4592380908296455e-06, + "loss": 0.8142, + "step": 35277 + }, + { + "epoch": 0.83, + "grad_norm": 1.5539036345226118, + "learning_rate": 1.458841221472087e-06, + "loss": 0.7199, + "step": 35278 + }, + { + "epoch": 0.83, + "grad_norm": 1.6436990525695172, + "learning_rate": 1.4584444018438616e-06, + "loss": 0.8066, + "step": 35279 + }, + { + "epoch": 0.83, + "grad_norm": 2.4012022027202953, + "learning_rate": 1.4580476319472758e-06, + "loss": 0.7838, + "step": 35280 + }, + { + "epoch": 0.83, + "grad_norm": 1.5095538256264112, + "learning_rate": 1.4576509117846394e-06, + "loss": 0.8899, + "step": 35281 + }, + { + "epoch": 0.83, + "grad_norm": 1.6623208374271594, + "learning_rate": 1.4572542413582635e-06, + "loss": 0.8795, + "step": 35282 + }, + { + "epoch": 0.83, + "grad_norm": 1.875798429331673, + "learning_rate": 1.456857620670461e-06, + "loss": 0.8853, + "step": 35283 + }, + { + "epoch": 0.83, + "grad_norm": 1.6965287254884847, + "learning_rate": 1.4564610497235377e-06, + "loss": 0.7721, + "step": 35284 + }, + { + "epoch": 0.83, + "grad_norm": 1.8942747335236179, + "learning_rate": 1.4560645285198006e-06, + "loss": 0.8291, + "step": 35285 + }, + { + "epoch": 0.83, + "grad_norm": 1.5638404553729488, + "learning_rate": 1.4556680570615623e-06, + "loss": 0.8326, + "step": 35286 + }, + { + "epoch": 0.83, + "grad_norm": 1.9882918694788465, + "learning_rate": 1.4552716353511286e-06, + "loss": 0.8142, + "step": 35287 + }, + { + "epoch": 0.83, + "grad_norm": 0.7416065344070536, + "learning_rate": 1.454875263390808e-06, + "loss": 0.6716, + "step": 35288 + }, + { + "epoch": 0.83, + "grad_norm": 1.836480210165693, + "learning_rate": 1.4544789411829118e-06, + "loss": 0.8447, + "step": 35289 + }, + { + "epoch": 0.83, + "grad_norm": 1.483267224726074, + "learning_rate": 1.454082668729745e-06, + "loss": 0.865, + "step": 35290 + }, + { + "epoch": 0.83, + "grad_norm": 1.7178068799886133, + "learning_rate": 1.4536864460336108e-06, + "loss": 0.8018, + "step": 35291 + }, + { + "epoch": 0.83, + "grad_norm": 1.6146231480641717, + "learning_rate": 1.4532902730968213e-06, + "loss": 0.8091, + "step": 35292 + }, + { + "epoch": 0.83, + "grad_norm": 1.9983371372178473, + "learning_rate": 1.4528941499216853e-06, + "loss": 0.855, + "step": 35293 + }, + { + "epoch": 0.83, + "grad_norm": 1.6566135095725094, + "learning_rate": 1.4524980765105013e-06, + "loss": 0.7435, + "step": 35294 + }, + { + "epoch": 0.83, + "grad_norm": 1.7562051598078334, + "learning_rate": 1.4521020528655794e-06, + "loss": 0.8577, + "step": 35295 + }, + { + "epoch": 0.83, + "grad_norm": 1.563004972975194, + "learning_rate": 1.4517060789892257e-06, + "loss": 0.7673, + "step": 35296 + }, + { + "epoch": 0.83, + "grad_norm": 1.9154504163413597, + "learning_rate": 1.4513101548837505e-06, + "loss": 0.7846, + "step": 35297 + }, + { + "epoch": 0.83, + "grad_norm": 1.5582567929623434, + "learning_rate": 1.4509142805514486e-06, + "loss": 0.6898, + "step": 35298 + }, + { + "epoch": 0.83, + "grad_norm": 1.6281280029215641, + "learning_rate": 1.4505184559946306e-06, + "loss": 0.9166, + "step": 35299 + }, + { + "epoch": 0.83, + "grad_norm": 0.7325237851570198, + "learning_rate": 1.4501226812156032e-06, + "loss": 0.7352, + "step": 35300 + }, + { + "epoch": 0.83, + "grad_norm": 1.6375177755072403, + "learning_rate": 1.4497269562166672e-06, + "loss": 0.7645, + "step": 35301 + }, + { + "epoch": 0.83, + "grad_norm": 1.785988885387799, + "learning_rate": 1.4493312810001293e-06, + "loss": 0.9068, + "step": 35302 + }, + { + "epoch": 0.83, + "grad_norm": 1.4046011372626532, + "learning_rate": 1.4489356555682887e-06, + "loss": 0.8223, + "step": 35303 + }, + { + "epoch": 0.83, + "grad_norm": 1.4924202330733825, + "learning_rate": 1.448540079923455e-06, + "loss": 0.8766, + "step": 35304 + }, + { + "epoch": 0.83, + "grad_norm": 0.8346255881907073, + "learning_rate": 1.4481445540679261e-06, + "loss": 0.6597, + "step": 35305 + }, + { + "epoch": 0.83, + "grad_norm": 1.748104374655128, + "learning_rate": 1.4477490780040093e-06, + "loss": 0.8317, + "step": 35306 + }, + { + "epoch": 0.83, + "grad_norm": 0.8539758119275082, + "learning_rate": 1.4473536517340047e-06, + "loss": 0.74, + "step": 35307 + }, + { + "epoch": 0.83, + "grad_norm": 1.4634249254234222, + "learning_rate": 1.446958275260213e-06, + "loss": 0.76, + "step": 35308 + }, + { + "epoch": 0.83, + "grad_norm": 1.7645377167165512, + "learning_rate": 1.4465629485849376e-06, + "loss": 0.8328, + "step": 35309 + }, + { + "epoch": 0.83, + "grad_norm": 1.422921939342699, + "learning_rate": 1.4461676717104834e-06, + "loss": 0.8592, + "step": 35310 + }, + { + "epoch": 0.83, + "grad_norm": 2.7404229239515496, + "learning_rate": 1.4457724446391486e-06, + "loss": 0.7871, + "step": 35311 + }, + { + "epoch": 0.83, + "grad_norm": 1.972720039364337, + "learning_rate": 1.4453772673732336e-06, + "loss": 0.7445, + "step": 35312 + }, + { + "epoch": 0.83, + "grad_norm": 1.4619438021480304, + "learning_rate": 1.4449821399150398e-06, + "loss": 0.806, + "step": 35313 + }, + { + "epoch": 0.83, + "grad_norm": 1.9525057062968012, + "learning_rate": 1.44458706226687e-06, + "loss": 0.8862, + "step": 35314 + }, + { + "epoch": 0.83, + "grad_norm": 1.8885645848863934, + "learning_rate": 1.4441920344310235e-06, + "loss": 0.8675, + "step": 35315 + }, + { + "epoch": 0.83, + "grad_norm": 1.8506760470550114, + "learning_rate": 1.443797056409798e-06, + "loss": 0.8281, + "step": 35316 + }, + { + "epoch": 0.83, + "grad_norm": 1.533666815256227, + "learning_rate": 1.4434021282054943e-06, + "loss": 0.9361, + "step": 35317 + }, + { + "epoch": 0.83, + "grad_norm": 2.123694943424594, + "learning_rate": 1.443007249820415e-06, + "loss": 0.859, + "step": 35318 + }, + { + "epoch": 0.83, + "grad_norm": 1.7170033951815438, + "learning_rate": 1.442612421256856e-06, + "loss": 0.7502, + "step": 35319 + }, + { + "epoch": 0.83, + "grad_norm": 1.570783184756032, + "learning_rate": 1.4422176425171153e-06, + "loss": 0.8344, + "step": 35320 + }, + { + "epoch": 0.83, + "grad_norm": 1.60727652016603, + "learning_rate": 1.4418229136034922e-06, + "loss": 0.7257, + "step": 35321 + }, + { + "epoch": 0.83, + "grad_norm": 1.7330516089256802, + "learning_rate": 1.4414282345182885e-06, + "loss": 0.972, + "step": 35322 + }, + { + "epoch": 0.83, + "grad_norm": 1.675349175160879, + "learning_rate": 1.4410336052637985e-06, + "loss": 0.6523, + "step": 35323 + }, + { + "epoch": 0.83, + "grad_norm": 1.4308215490360865, + "learning_rate": 1.4406390258423186e-06, + "loss": 0.7144, + "step": 35324 + }, + { + "epoch": 0.83, + "grad_norm": 1.7064386201507673, + "learning_rate": 1.4402444962561502e-06, + "loss": 0.8205, + "step": 35325 + }, + { + "epoch": 0.83, + "grad_norm": 2.07222789029567, + "learning_rate": 1.4398500165075857e-06, + "loss": 0.8139, + "step": 35326 + }, + { + "epoch": 0.83, + "grad_norm": 1.7521398436272904, + "learning_rate": 1.4394555865989279e-06, + "loss": 0.8333, + "step": 35327 + }, + { + "epoch": 0.83, + "grad_norm": 0.7301928139192048, + "learning_rate": 1.439061206532466e-06, + "loss": 0.6776, + "step": 35328 + }, + { + "epoch": 0.83, + "grad_norm": 1.6003065387797688, + "learning_rate": 1.4386668763105039e-06, + "loss": 0.7564, + "step": 35329 + }, + { + "epoch": 0.83, + "grad_norm": 1.5107742557685275, + "learning_rate": 1.4382725959353305e-06, + "loss": 0.7865, + "step": 35330 + }, + { + "epoch": 0.83, + "grad_norm": 1.5502116568710522, + "learning_rate": 1.4378783654092476e-06, + "loss": 0.9071, + "step": 35331 + }, + { + "epoch": 0.83, + "grad_norm": 1.6013956909493283, + "learning_rate": 1.4374841847345478e-06, + "loss": 0.7966, + "step": 35332 + }, + { + "epoch": 0.83, + "grad_norm": 1.7776709866116716, + "learning_rate": 1.4370900539135225e-06, + "loss": 0.8532, + "step": 35333 + }, + { + "epoch": 0.83, + "grad_norm": 1.6401374184789241, + "learning_rate": 1.4366959729484708e-06, + "loss": 0.8264, + "step": 35334 + }, + { + "epoch": 0.83, + "grad_norm": 0.7696526227156815, + "learning_rate": 1.4363019418416878e-06, + "loss": 0.7426, + "step": 35335 + }, + { + "epoch": 0.83, + "grad_norm": 2.3446156278864057, + "learning_rate": 1.4359079605954673e-06, + "loss": 0.7937, + "step": 35336 + }, + { + "epoch": 0.83, + "grad_norm": 1.502291075582562, + "learning_rate": 1.4355140292120983e-06, + "loss": 0.8882, + "step": 35337 + }, + { + "epoch": 0.83, + "grad_norm": 0.7434013761401093, + "learning_rate": 1.4351201476938792e-06, + "loss": 0.7093, + "step": 35338 + }, + { + "epoch": 0.83, + "grad_norm": 1.8457578121609854, + "learning_rate": 1.4347263160431036e-06, + "loss": 0.9107, + "step": 35339 + }, + { + "epoch": 0.83, + "grad_norm": 0.7664569618322306, + "learning_rate": 1.434332534262064e-06, + "loss": 0.6617, + "step": 35340 + }, + { + "epoch": 0.83, + "grad_norm": 1.5295541749420114, + "learning_rate": 1.4339388023530498e-06, + "loss": 0.9279, + "step": 35341 + }, + { + "epoch": 0.83, + "grad_norm": 1.5519460527502602, + "learning_rate": 1.433545120318355e-06, + "loss": 0.8354, + "step": 35342 + }, + { + "epoch": 0.83, + "grad_norm": 1.655781242029953, + "learning_rate": 1.4331514881602759e-06, + "loss": 0.758, + "step": 35343 + }, + { + "epoch": 0.83, + "grad_norm": 1.6525668875018542, + "learning_rate": 1.4327579058811003e-06, + "loss": 0.895, + "step": 35344 + }, + { + "epoch": 0.83, + "grad_norm": 1.7992464268849415, + "learning_rate": 1.4323643734831182e-06, + "loss": 0.9397, + "step": 35345 + }, + { + "epoch": 0.83, + "grad_norm": 1.6966191783092541, + "learning_rate": 1.4319708909686259e-06, + "loss": 0.9162, + "step": 35346 + }, + { + "epoch": 0.83, + "grad_norm": 1.5789906637771989, + "learning_rate": 1.43157745833991e-06, + "loss": 0.8231, + "step": 35347 + }, + { + "epoch": 0.83, + "grad_norm": 1.7084849435737333, + "learning_rate": 1.4311840755992634e-06, + "loss": 0.786, + "step": 35348 + }, + { + "epoch": 0.83, + "grad_norm": 1.4412785187344581, + "learning_rate": 1.4307907427489753e-06, + "loss": 0.9822, + "step": 35349 + }, + { + "epoch": 0.83, + "grad_norm": 1.470784442662976, + "learning_rate": 1.4303974597913383e-06, + "loss": 0.7562, + "step": 35350 + }, + { + "epoch": 0.83, + "grad_norm": 1.5963792960901604, + "learning_rate": 1.4300042267286374e-06, + "loss": 0.7823, + "step": 35351 + }, + { + "epoch": 0.83, + "grad_norm": 1.4830638571036656, + "learning_rate": 1.4296110435631683e-06, + "loss": 0.799, + "step": 35352 + }, + { + "epoch": 0.83, + "grad_norm": 0.8434616409717443, + "learning_rate": 1.429217910297217e-06, + "loss": 0.7524, + "step": 35353 + }, + { + "epoch": 0.83, + "grad_norm": 1.4297914383760462, + "learning_rate": 1.4288248269330695e-06, + "loss": 0.8054, + "step": 35354 + }, + { + "epoch": 0.83, + "grad_norm": 1.7388384207864438, + "learning_rate": 1.4284317934730175e-06, + "loss": 0.7395, + "step": 35355 + }, + { + "epoch": 0.83, + "grad_norm": 1.6476921348844833, + "learning_rate": 1.428038809919352e-06, + "loss": 0.915, + "step": 35356 + }, + { + "epoch": 0.83, + "grad_norm": 1.5068197142490372, + "learning_rate": 1.4276458762743583e-06, + "loss": 0.8461, + "step": 35357 + }, + { + "epoch": 0.83, + "grad_norm": 1.6821798381582989, + "learning_rate": 1.4272529925403221e-06, + "loss": 0.8876, + "step": 35358 + }, + { + "epoch": 0.83, + "grad_norm": 1.5970236492713807, + "learning_rate": 1.426860158719533e-06, + "loss": 0.8334, + "step": 35359 + }, + { + "epoch": 0.83, + "grad_norm": 2.0582603502511767, + "learning_rate": 1.426467374814281e-06, + "loss": 0.7622, + "step": 35360 + }, + { + "epoch": 0.83, + "grad_norm": 3.0581922003581297, + "learning_rate": 1.426074640826849e-06, + "loss": 0.8188, + "step": 35361 + }, + { + "epoch": 0.83, + "grad_norm": 1.5429414058251196, + "learning_rate": 1.4256819567595238e-06, + "loss": 0.796, + "step": 35362 + }, + { + "epoch": 0.83, + "grad_norm": 1.7057732214528643, + "learning_rate": 1.4252893226145924e-06, + "loss": 0.6834, + "step": 35363 + }, + { + "epoch": 0.83, + "grad_norm": 1.5099199656133568, + "learning_rate": 1.4248967383943435e-06, + "loss": 0.9265, + "step": 35364 + }, + { + "epoch": 0.83, + "grad_norm": 2.2881343483357197, + "learning_rate": 1.4245042041010604e-06, + "loss": 0.8635, + "step": 35365 + }, + { + "epoch": 0.83, + "grad_norm": 1.557140768594496, + "learning_rate": 1.424111719737027e-06, + "loss": 0.8805, + "step": 35366 + }, + { + "epoch": 0.83, + "grad_norm": 0.7671771226921176, + "learning_rate": 1.4237192853045323e-06, + "loss": 0.693, + "step": 35367 + }, + { + "epoch": 0.83, + "grad_norm": 1.6785625449007273, + "learning_rate": 1.423326900805857e-06, + "loss": 0.9792, + "step": 35368 + }, + { + "epoch": 0.83, + "grad_norm": 1.4454679776829984, + "learning_rate": 1.4229345662432903e-06, + "loss": 0.7302, + "step": 35369 + }, + { + "epoch": 0.83, + "grad_norm": 1.8384655071311093, + "learning_rate": 1.4225422816191115e-06, + "loss": 0.8899, + "step": 35370 + }, + { + "epoch": 0.83, + "grad_norm": 1.7597882300321142, + "learning_rate": 1.4221500469356086e-06, + "loss": 0.7726, + "step": 35371 + }, + { + "epoch": 0.83, + "grad_norm": 2.007672190170206, + "learning_rate": 1.4217578621950623e-06, + "loss": 0.8893, + "step": 35372 + }, + { + "epoch": 0.83, + "grad_norm": 1.7181051913476963, + "learning_rate": 1.4213657273997571e-06, + "loss": 0.8686, + "step": 35373 + }, + { + "epoch": 0.83, + "grad_norm": 1.490097970402172, + "learning_rate": 1.4209736425519827e-06, + "loss": 0.8664, + "step": 35374 + }, + { + "epoch": 0.83, + "grad_norm": 1.7123870951245803, + "learning_rate": 1.420581607654009e-06, + "loss": 0.7917, + "step": 35375 + }, + { + "epoch": 0.83, + "grad_norm": 1.8785620846186966, + "learning_rate": 1.420189622708127e-06, + "loss": 0.9427, + "step": 35376 + }, + { + "epoch": 0.83, + "grad_norm": 1.723094924760353, + "learning_rate": 1.4197976877166165e-06, + "loss": 0.8391, + "step": 35377 + }, + { + "epoch": 0.83, + "grad_norm": 1.6410635800661368, + "learning_rate": 1.4194058026817658e-06, + "loss": 0.8085, + "step": 35378 + }, + { + "epoch": 0.83, + "grad_norm": 1.8948808108829882, + "learning_rate": 1.4190139676058457e-06, + "loss": 0.7933, + "step": 35379 + }, + { + "epoch": 0.83, + "grad_norm": 1.9300239393131084, + "learning_rate": 1.4186221824911428e-06, + "loss": 0.8174, + "step": 35380 + }, + { + "epoch": 0.83, + "grad_norm": 1.6036227966138317, + "learning_rate": 1.418230447339941e-06, + "loss": 0.8311, + "step": 35381 + }, + { + "epoch": 0.83, + "grad_norm": 1.6031258551456062, + "learning_rate": 1.4178387621545187e-06, + "loss": 0.7123, + "step": 35382 + }, + { + "epoch": 0.83, + "grad_norm": 1.4448755391901809, + "learning_rate": 1.4174471269371537e-06, + "loss": 0.8071, + "step": 35383 + }, + { + "epoch": 0.83, + "grad_norm": 1.785266375346856, + "learning_rate": 1.417055541690129e-06, + "loss": 0.762, + "step": 35384 + }, + { + "epoch": 0.83, + "grad_norm": 1.4855332705074535, + "learning_rate": 1.4166640064157267e-06, + "loss": 0.8958, + "step": 35385 + }, + { + "epoch": 0.83, + "grad_norm": 1.7272402390596062, + "learning_rate": 1.416272521116221e-06, + "loss": 0.7397, + "step": 35386 + }, + { + "epoch": 0.83, + "grad_norm": 1.4327676972692232, + "learning_rate": 1.4158810857938964e-06, + "loss": 0.8189, + "step": 35387 + }, + { + "epoch": 0.83, + "grad_norm": 1.6247073452883818, + "learning_rate": 1.4154897004510304e-06, + "loss": 0.94, + "step": 35388 + }, + { + "epoch": 0.83, + "grad_norm": 0.7423544831365106, + "learning_rate": 1.4150983650898987e-06, + "loss": 0.7139, + "step": 35389 + }, + { + "epoch": 0.83, + "grad_norm": 1.5985988275328573, + "learning_rate": 1.4147070797127826e-06, + "loss": 0.8771, + "step": 35390 + }, + { + "epoch": 0.83, + "grad_norm": 1.5568245942416272, + "learning_rate": 1.4143158443219617e-06, + "loss": 0.8295, + "step": 35391 + }, + { + "epoch": 0.83, + "grad_norm": 2.097656822321057, + "learning_rate": 1.413924658919712e-06, + "loss": 0.7223, + "step": 35392 + }, + { + "epoch": 0.83, + "grad_norm": 1.9004348416675676, + "learning_rate": 1.4135335235083092e-06, + "loss": 0.8281, + "step": 35393 + }, + { + "epoch": 0.83, + "grad_norm": 1.6727400163955408, + "learning_rate": 1.4131424380900327e-06, + "loss": 0.9271, + "step": 35394 + }, + { + "epoch": 0.83, + "grad_norm": 1.6693060907453323, + "learning_rate": 1.412751402667164e-06, + "loss": 0.916, + "step": 35395 + }, + { + "epoch": 0.83, + "grad_norm": 1.6269099059244791, + "learning_rate": 1.4123604172419714e-06, + "loss": 0.8577, + "step": 35396 + }, + { + "epoch": 0.83, + "grad_norm": 1.6345936823540985, + "learning_rate": 1.4119694818167351e-06, + "loss": 0.7895, + "step": 35397 + }, + { + "epoch": 0.83, + "grad_norm": 1.8447817421024304, + "learning_rate": 1.4115785963937302e-06, + "loss": 0.8018, + "step": 35398 + }, + { + "epoch": 0.83, + "grad_norm": 1.627706046917281, + "learning_rate": 1.4111877609752367e-06, + "loss": 0.8494, + "step": 35399 + }, + { + "epoch": 0.83, + "grad_norm": 1.699238707025119, + "learning_rate": 1.4107969755635277e-06, + "loss": 0.8478, + "step": 35400 + }, + { + "epoch": 0.83, + "grad_norm": 0.7971890908082965, + "learning_rate": 1.4104062401608753e-06, + "loss": 0.6984, + "step": 35401 + }, + { + "epoch": 0.83, + "grad_norm": 1.6470175764756143, + "learning_rate": 1.4100155547695592e-06, + "loss": 0.8184, + "step": 35402 + }, + { + "epoch": 0.83, + "grad_norm": 2.5137829711799373, + "learning_rate": 1.4096249193918509e-06, + "loss": 0.8209, + "step": 35403 + }, + { + "epoch": 0.83, + "grad_norm": 1.6715786750465254, + "learning_rate": 1.4092343340300273e-06, + "loss": 0.8167, + "step": 35404 + }, + { + "epoch": 0.83, + "grad_norm": 1.5226170505581276, + "learning_rate": 1.408843798686359e-06, + "loss": 0.8365, + "step": 35405 + }, + { + "epoch": 0.83, + "grad_norm": 1.44748487212268, + "learning_rate": 1.408453313363124e-06, + "loss": 0.7469, + "step": 35406 + }, + { + "epoch": 0.83, + "grad_norm": 1.5895338263468397, + "learning_rate": 1.4080628780625927e-06, + "loss": 0.783, + "step": 35407 + }, + { + "epoch": 0.83, + "grad_norm": 1.9060802846774951, + "learning_rate": 1.407672492787041e-06, + "loss": 0.7273, + "step": 35408 + }, + { + "epoch": 0.83, + "grad_norm": 1.754375186624267, + "learning_rate": 1.4072821575387407e-06, + "loss": 0.769, + "step": 35409 + }, + { + "epoch": 0.83, + "grad_norm": 4.028173210535953, + "learning_rate": 1.406891872319961e-06, + "loss": 0.8431, + "step": 35410 + }, + { + "epoch": 0.83, + "grad_norm": 1.6837286784973275, + "learning_rate": 1.4065016371329775e-06, + "loss": 0.8211, + "step": 35411 + }, + { + "epoch": 0.83, + "grad_norm": 1.7608847461546457, + "learning_rate": 1.4061114519800655e-06, + "loss": 0.8137, + "step": 35412 + }, + { + "epoch": 0.83, + "grad_norm": 1.4925603665000449, + "learning_rate": 1.405721316863492e-06, + "loss": 0.8064, + "step": 35413 + }, + { + "epoch": 0.83, + "grad_norm": 1.6723744571096573, + "learning_rate": 1.4053312317855284e-06, + "loss": 0.8179, + "step": 35414 + }, + { + "epoch": 0.83, + "grad_norm": 1.7059320660353097, + "learning_rate": 1.4049411967484472e-06, + "loss": 0.8222, + "step": 35415 + }, + { + "epoch": 0.83, + "grad_norm": 1.6669568758259858, + "learning_rate": 1.4045512117545224e-06, + "loss": 0.8088, + "step": 35416 + }, + { + "epoch": 0.83, + "grad_norm": 1.5443543995337399, + "learning_rate": 1.4041612768060208e-06, + "loss": 0.937, + "step": 35417 + }, + { + "epoch": 0.83, + "grad_norm": 1.5468239672342357, + "learning_rate": 1.4037713919052121e-06, + "loss": 0.8912, + "step": 35418 + }, + { + "epoch": 0.83, + "grad_norm": 1.6060342307838122, + "learning_rate": 1.4033815570543673e-06, + "loss": 0.8147, + "step": 35419 + }, + { + "epoch": 0.83, + "grad_norm": 0.8082214340150214, + "learning_rate": 1.4029917722557597e-06, + "loss": 0.7232, + "step": 35420 + }, + { + "epoch": 0.83, + "grad_norm": 3.3297536316070837, + "learning_rate": 1.4026020375116545e-06, + "loss": 0.7599, + "step": 35421 + }, + { + "epoch": 0.83, + "grad_norm": 1.5973067476989706, + "learning_rate": 1.4022123528243204e-06, + "loss": 0.9039, + "step": 35422 + }, + { + "epoch": 0.83, + "grad_norm": 1.5050426782866426, + "learning_rate": 1.4018227181960308e-06, + "loss": 0.7004, + "step": 35423 + }, + { + "epoch": 0.83, + "grad_norm": 0.7526149839446735, + "learning_rate": 1.4014331336290487e-06, + "loss": 0.7148, + "step": 35424 + }, + { + "epoch": 0.83, + "grad_norm": 1.6517059689371991, + "learning_rate": 1.4010435991256477e-06, + "loss": 0.773, + "step": 35425 + }, + { + "epoch": 0.83, + "grad_norm": 1.6270479070228399, + "learning_rate": 1.4006541146880914e-06, + "loss": 0.8719, + "step": 35426 + }, + { + "epoch": 0.83, + "grad_norm": 1.5344989297517286, + "learning_rate": 1.4002646803186514e-06, + "loss": 0.9089, + "step": 35427 + }, + { + "epoch": 0.83, + "grad_norm": 1.5678699068727577, + "learning_rate": 1.3998752960195905e-06, + "loss": 0.8215, + "step": 35428 + }, + { + "epoch": 0.83, + "grad_norm": 1.6701160914886515, + "learning_rate": 1.39948596179318e-06, + "loss": 0.9075, + "step": 35429 + }, + { + "epoch": 0.83, + "grad_norm": 1.6726137790362847, + "learning_rate": 1.3990966776416859e-06, + "loss": 0.7577, + "step": 35430 + }, + { + "epoch": 0.83, + "grad_norm": 1.7867734333064154, + "learning_rate": 1.398707443567372e-06, + "loss": 0.9041, + "step": 35431 + }, + { + "epoch": 0.83, + "grad_norm": 0.7757936217014789, + "learning_rate": 1.3983182595725054e-06, + "loss": 0.689, + "step": 35432 + }, + { + "epoch": 0.83, + "grad_norm": 0.779614085852157, + "learning_rate": 1.3979291256593564e-06, + "loss": 0.7678, + "step": 35433 + }, + { + "epoch": 0.83, + "grad_norm": 1.608184032178308, + "learning_rate": 1.3975400418301866e-06, + "loss": 0.7892, + "step": 35434 + }, + { + "epoch": 0.83, + "grad_norm": 4.157191998292082, + "learning_rate": 1.3971510080872608e-06, + "loss": 0.7934, + "step": 35435 + }, + { + "epoch": 0.83, + "grad_norm": 1.7714946491154864, + "learning_rate": 1.396762024432845e-06, + "loss": 0.9424, + "step": 35436 + }, + { + "epoch": 0.83, + "grad_norm": 1.4680094756575752, + "learning_rate": 1.3963730908692065e-06, + "loss": 0.854, + "step": 35437 + }, + { + "epoch": 0.83, + "grad_norm": 2.207718747272585, + "learning_rate": 1.3959842073986085e-06, + "loss": 0.9375, + "step": 35438 + }, + { + "epoch": 0.83, + "grad_norm": 1.770319803747664, + "learning_rate": 1.3955953740233107e-06, + "loss": 0.9484, + "step": 35439 + }, + { + "epoch": 0.83, + "grad_norm": 1.6328784260761944, + "learning_rate": 1.3952065907455825e-06, + "loss": 1.0303, + "step": 35440 + }, + { + "epoch": 0.83, + "grad_norm": 1.6991230095002352, + "learning_rate": 1.3948178575676862e-06, + "loss": 0.8287, + "step": 35441 + }, + { + "epoch": 0.83, + "grad_norm": 0.7399599546156083, + "learning_rate": 1.394429174491886e-06, + "loss": 0.6681, + "step": 35442 + }, + { + "epoch": 0.84, + "grad_norm": 1.9209887453834802, + "learning_rate": 1.3940405415204417e-06, + "loss": 0.9777, + "step": 35443 + }, + { + "epoch": 0.84, + "grad_norm": 0.7164876404757063, + "learning_rate": 1.3936519586556163e-06, + "loss": 0.7308, + "step": 35444 + }, + { + "epoch": 0.84, + "grad_norm": 1.7000221862913685, + "learning_rate": 1.393263425899678e-06, + "loss": 0.8749, + "step": 35445 + }, + { + "epoch": 0.84, + "grad_norm": 1.5059902330126556, + "learning_rate": 1.3928749432548837e-06, + "loss": 0.877, + "step": 35446 + }, + { + "epoch": 0.84, + "grad_norm": 1.388952219112882, + "learning_rate": 1.3924865107234942e-06, + "loss": 0.931, + "step": 35447 + }, + { + "epoch": 0.84, + "grad_norm": 1.660345885686713, + "learning_rate": 1.3920981283077762e-06, + "loss": 0.7777, + "step": 35448 + }, + { + "epoch": 0.84, + "grad_norm": 4.021417174630642, + "learning_rate": 1.3917097960099856e-06, + "loss": 0.8196, + "step": 35449 + }, + { + "epoch": 0.84, + "grad_norm": 1.5819486126244762, + "learning_rate": 1.3913215138323877e-06, + "loss": 0.9121, + "step": 35450 + }, + { + "epoch": 0.84, + "grad_norm": 1.491571237229409, + "learning_rate": 1.3909332817772402e-06, + "loss": 0.81, + "step": 35451 + }, + { + "epoch": 0.84, + "grad_norm": 1.5050064401999874, + "learning_rate": 1.3905450998468062e-06, + "loss": 0.892, + "step": 35452 + }, + { + "epoch": 0.84, + "grad_norm": 1.708551018913534, + "learning_rate": 1.3901569680433425e-06, + "loss": 0.8775, + "step": 35453 + }, + { + "epoch": 0.84, + "grad_norm": 2.271974365722867, + "learning_rate": 1.3897688863691128e-06, + "loss": 0.8461, + "step": 35454 + }, + { + "epoch": 0.84, + "grad_norm": 1.691081614256209, + "learning_rate": 1.3893808548263742e-06, + "loss": 0.8112, + "step": 35455 + }, + { + "epoch": 0.84, + "grad_norm": 1.5804992271100626, + "learning_rate": 1.388992873417384e-06, + "loss": 0.7851, + "step": 35456 + }, + { + "epoch": 0.84, + "grad_norm": 1.5873325215425487, + "learning_rate": 1.3886049421444048e-06, + "loss": 0.842, + "step": 35457 + }, + { + "epoch": 0.84, + "grad_norm": 1.5958075189381102, + "learning_rate": 1.3882170610096946e-06, + "loss": 0.7003, + "step": 35458 + }, + { + "epoch": 0.84, + "grad_norm": 1.7574928127099738, + "learning_rate": 1.3878292300155115e-06, + "loss": 0.8501, + "step": 35459 + }, + { + "epoch": 0.84, + "grad_norm": 0.7738582641237729, + "learning_rate": 1.387441449164112e-06, + "loss": 0.6806, + "step": 35460 + }, + { + "epoch": 0.84, + "grad_norm": 1.5765980121529934, + "learning_rate": 1.3870537184577538e-06, + "loss": 0.9374, + "step": 35461 + }, + { + "epoch": 0.84, + "grad_norm": 1.4831564883816388, + "learning_rate": 1.3866660378986985e-06, + "loss": 0.6831, + "step": 35462 + }, + { + "epoch": 0.84, + "grad_norm": 0.7781903011440439, + "learning_rate": 1.386278407489201e-06, + "loss": 0.7252, + "step": 35463 + }, + { + "epoch": 0.84, + "grad_norm": 1.5015167955389204, + "learning_rate": 1.3858908272315153e-06, + "loss": 0.7402, + "step": 35464 + }, + { + "epoch": 0.84, + "grad_norm": 1.5179130495756223, + "learning_rate": 1.3855032971278991e-06, + "loss": 0.8943, + "step": 35465 + }, + { + "epoch": 0.84, + "grad_norm": 1.5093203981682841, + "learning_rate": 1.3851158171806134e-06, + "loss": 0.8108, + "step": 35466 + }, + { + "epoch": 0.84, + "grad_norm": 1.6634932287968678, + "learning_rate": 1.3847283873919103e-06, + "loss": 0.8903, + "step": 35467 + }, + { + "epoch": 0.84, + "grad_norm": 1.8635505975734898, + "learning_rate": 1.384341007764044e-06, + "loss": 0.7893, + "step": 35468 + }, + { + "epoch": 0.84, + "grad_norm": 1.5901589862209615, + "learning_rate": 1.3839536782992746e-06, + "loss": 0.8796, + "step": 35469 + }, + { + "epoch": 0.84, + "grad_norm": 1.9018078387170059, + "learning_rate": 1.3835663989998528e-06, + "loss": 0.795, + "step": 35470 + }, + { + "epoch": 0.84, + "grad_norm": 1.6971213624422852, + "learning_rate": 1.3831791698680342e-06, + "loss": 0.7772, + "step": 35471 + }, + { + "epoch": 0.84, + "grad_norm": 0.712097002197623, + "learning_rate": 1.3827919909060772e-06, + "loss": 0.7135, + "step": 35472 + }, + { + "epoch": 0.84, + "grad_norm": 1.9777779215327895, + "learning_rate": 1.3824048621162334e-06, + "loss": 0.7645, + "step": 35473 + }, + { + "epoch": 0.84, + "grad_norm": 1.8650277257644765, + "learning_rate": 1.3820177835007541e-06, + "loss": 0.7772, + "step": 35474 + }, + { + "epoch": 0.84, + "grad_norm": 1.6650629362089588, + "learning_rate": 1.3816307550618968e-06, + "loss": 0.7694, + "step": 35475 + }, + { + "epoch": 0.84, + "grad_norm": 2.3222635468949107, + "learning_rate": 1.3812437768019172e-06, + "loss": 0.8595, + "step": 35476 + }, + { + "epoch": 0.84, + "grad_norm": 1.7272616061377677, + "learning_rate": 1.3808568487230611e-06, + "loss": 0.9682, + "step": 35477 + }, + { + "epoch": 0.84, + "grad_norm": 1.6773668864465812, + "learning_rate": 1.3804699708275847e-06, + "loss": 0.7743, + "step": 35478 + }, + { + "epoch": 0.84, + "grad_norm": 1.518946395675502, + "learning_rate": 1.3800831431177419e-06, + "loss": 0.6526, + "step": 35479 + }, + { + "epoch": 0.84, + "grad_norm": 1.9182486791137907, + "learning_rate": 1.3796963655957872e-06, + "loss": 0.7231, + "step": 35480 + }, + { + "epoch": 0.84, + "grad_norm": 1.6250765364180706, + "learning_rate": 1.3793096382639658e-06, + "loss": 0.8522, + "step": 35481 + }, + { + "epoch": 0.84, + "grad_norm": 1.76907668503072, + "learning_rate": 1.3789229611245335e-06, + "loss": 0.7467, + "step": 35482 + }, + { + "epoch": 0.84, + "grad_norm": 1.576733893021136, + "learning_rate": 1.378536334179743e-06, + "loss": 0.8647, + "step": 35483 + }, + { + "epoch": 0.84, + "grad_norm": 1.7868514689472834, + "learning_rate": 1.3781497574318402e-06, + "loss": 0.7814, + "step": 35484 + }, + { + "epoch": 0.84, + "grad_norm": 1.9995181650074134, + "learning_rate": 1.3777632308830824e-06, + "loss": 0.8391, + "step": 35485 + }, + { + "epoch": 0.84, + "grad_norm": 1.6126353484116138, + "learning_rate": 1.3773767545357141e-06, + "loss": 0.8552, + "step": 35486 + }, + { + "epoch": 0.84, + "grad_norm": 1.435147656408095, + "learning_rate": 1.3769903283919905e-06, + "loss": 0.7692, + "step": 35487 + }, + { + "epoch": 0.84, + "grad_norm": 1.5366852489412035, + "learning_rate": 1.3766039524541575e-06, + "loss": 0.796, + "step": 35488 + }, + { + "epoch": 0.84, + "grad_norm": 1.701502543358083, + "learning_rate": 1.3762176267244686e-06, + "loss": 0.8143, + "step": 35489 + }, + { + "epoch": 0.84, + "grad_norm": 1.8158832503392757, + "learning_rate": 1.3758313512051702e-06, + "loss": 0.7766, + "step": 35490 + }, + { + "epoch": 0.84, + "grad_norm": 0.7529119395053375, + "learning_rate": 1.3754451258985102e-06, + "loss": 0.7331, + "step": 35491 + }, + { + "epoch": 0.84, + "grad_norm": 1.6063463671556355, + "learning_rate": 1.375058950806739e-06, + "loss": 0.7707, + "step": 35492 + }, + { + "epoch": 0.84, + "grad_norm": 1.7651538427268871, + "learning_rate": 1.3746728259321085e-06, + "loss": 0.8211, + "step": 35493 + }, + { + "epoch": 0.84, + "grad_norm": 0.7836430221436385, + "learning_rate": 1.374286751276862e-06, + "loss": 0.7485, + "step": 35494 + }, + { + "epoch": 0.84, + "grad_norm": 1.6566907580468713, + "learning_rate": 1.373900726843247e-06, + "loss": 0.7812, + "step": 35495 + }, + { + "epoch": 0.84, + "grad_norm": 2.0935092061574894, + "learning_rate": 1.3735147526335135e-06, + "loss": 0.9234, + "step": 35496 + }, + { + "epoch": 0.84, + "grad_norm": 1.550846507568028, + "learning_rate": 1.37312882864991e-06, + "loss": 0.8952, + "step": 35497 + }, + { + "epoch": 0.84, + "grad_norm": 1.6689182568291214, + "learning_rate": 1.3727429548946825e-06, + "loss": 0.8987, + "step": 35498 + }, + { + "epoch": 0.84, + "grad_norm": 1.7975152076353018, + "learning_rate": 1.3723571313700734e-06, + "loss": 0.728, + "step": 35499 + }, + { + "epoch": 0.84, + "grad_norm": 0.7699873684864824, + "learning_rate": 1.3719713580783334e-06, + "loss": 0.7466, + "step": 35500 + }, + { + "epoch": 0.84, + "grad_norm": 1.6509324001024515, + "learning_rate": 1.3715856350217095e-06, + "loss": 0.7725, + "step": 35501 + }, + { + "epoch": 0.84, + "grad_norm": 2.544408545629751, + "learning_rate": 1.3711999622024463e-06, + "loss": 0.8224, + "step": 35502 + }, + { + "epoch": 0.84, + "grad_norm": 1.6183582645059569, + "learning_rate": 1.3708143396227857e-06, + "loss": 0.8569, + "step": 35503 + }, + { + "epoch": 0.84, + "grad_norm": 0.8073790722747016, + "learning_rate": 1.3704287672849793e-06, + "loss": 0.7068, + "step": 35504 + }, + { + "epoch": 0.84, + "grad_norm": 1.6869896932322044, + "learning_rate": 1.370043245191266e-06, + "loss": 0.7626, + "step": 35505 + }, + { + "epoch": 0.84, + "grad_norm": 1.746167995990665, + "learning_rate": 1.3696577733438943e-06, + "loss": 0.8041, + "step": 35506 + }, + { + "epoch": 0.84, + "grad_norm": 1.4254003487720448, + "learning_rate": 1.3692723517451067e-06, + "loss": 0.8282, + "step": 35507 + }, + { + "epoch": 0.84, + "grad_norm": 1.642782887467167, + "learning_rate": 1.3688869803971493e-06, + "loss": 0.7663, + "step": 35508 + }, + { + "epoch": 0.84, + "grad_norm": 1.9926370557316133, + "learning_rate": 1.3685016593022627e-06, + "loss": 0.808, + "step": 35509 + }, + { + "epoch": 0.84, + "grad_norm": 0.7489831515255996, + "learning_rate": 1.3681163884626935e-06, + "loss": 0.6914, + "step": 35510 + }, + { + "epoch": 0.84, + "grad_norm": 1.489006883341014, + "learning_rate": 1.3677311678806838e-06, + "loss": 0.7843, + "step": 35511 + }, + { + "epoch": 0.84, + "grad_norm": 2.401568046134534, + "learning_rate": 1.3673459975584746e-06, + "loss": 0.7906, + "step": 35512 + }, + { + "epoch": 0.84, + "grad_norm": 1.594453797151353, + "learning_rate": 1.3669608774983102e-06, + "loss": 0.9115, + "step": 35513 + }, + { + "epoch": 0.84, + "grad_norm": 1.707541701221588, + "learning_rate": 1.3665758077024338e-06, + "loss": 0.8318, + "step": 35514 + }, + { + "epoch": 0.84, + "grad_norm": 1.620956337247361, + "learning_rate": 1.3661907881730874e-06, + "loss": 0.8458, + "step": 35515 + }, + { + "epoch": 0.84, + "grad_norm": 1.8516283800524664, + "learning_rate": 1.365805818912509e-06, + "loss": 0.8, + "step": 35516 + }, + { + "epoch": 0.84, + "grad_norm": 1.641451706445098, + "learning_rate": 1.3654208999229423e-06, + "loss": 0.816, + "step": 35517 + }, + { + "epoch": 0.84, + "grad_norm": 1.6043252209241117, + "learning_rate": 1.3650360312066314e-06, + "loss": 0.751, + "step": 35518 + }, + { + "epoch": 0.84, + "grad_norm": 1.7383388466213527, + "learning_rate": 1.364651212765814e-06, + "loss": 0.7735, + "step": 35519 + }, + { + "epoch": 0.84, + "grad_norm": 1.738232268088011, + "learning_rate": 1.3642664446027298e-06, + "loss": 0.7992, + "step": 35520 + }, + { + "epoch": 0.84, + "grad_norm": 1.7124166643391243, + "learning_rate": 1.3638817267196203e-06, + "loss": 0.9513, + "step": 35521 + }, + { + "epoch": 0.84, + "grad_norm": 1.452755376613697, + "learning_rate": 1.3634970591187269e-06, + "loss": 0.732, + "step": 35522 + }, + { + "epoch": 0.84, + "grad_norm": 0.7448662501562376, + "learning_rate": 1.363112441802289e-06, + "loss": 0.7418, + "step": 35523 + }, + { + "epoch": 0.84, + "grad_norm": 1.63125871170655, + "learning_rate": 1.3627278747725415e-06, + "loss": 0.8853, + "step": 35524 + }, + { + "epoch": 0.84, + "grad_norm": 1.6219498245023105, + "learning_rate": 1.3623433580317303e-06, + "loss": 0.7535, + "step": 35525 + }, + { + "epoch": 0.84, + "grad_norm": 1.6084389014877911, + "learning_rate": 1.3619588915820869e-06, + "loss": 0.9224, + "step": 35526 + }, + { + "epoch": 0.84, + "grad_norm": 1.6034125721547494, + "learning_rate": 1.3615744754258575e-06, + "loss": 0.8458, + "step": 35527 + }, + { + "epoch": 0.84, + "grad_norm": 1.619255808496766, + "learning_rate": 1.3611901095652736e-06, + "loss": 0.7565, + "step": 35528 + }, + { + "epoch": 0.84, + "grad_norm": 1.5595565222681071, + "learning_rate": 1.3608057940025775e-06, + "loss": 0.7406, + "step": 35529 + }, + { + "epoch": 0.84, + "grad_norm": 1.5800355316945822, + "learning_rate": 1.3604215287400036e-06, + "loss": 0.7722, + "step": 35530 + }, + { + "epoch": 0.84, + "grad_norm": 1.8244811259340674, + "learning_rate": 1.3600373137797917e-06, + "loss": 0.8372, + "step": 35531 + }, + { + "epoch": 0.84, + "grad_norm": 1.631592420730289, + "learning_rate": 1.3596531491241793e-06, + "loss": 0.7112, + "step": 35532 + }, + { + "epoch": 0.84, + "grad_norm": 0.7317042560085542, + "learning_rate": 1.3592690347754e-06, + "loss": 0.6974, + "step": 35533 + }, + { + "epoch": 0.84, + "grad_norm": 1.9661432242254473, + "learning_rate": 1.358884970735691e-06, + "loss": 0.8098, + "step": 35534 + }, + { + "epoch": 0.84, + "grad_norm": 1.814115747545173, + "learning_rate": 1.3585009570072917e-06, + "loss": 1.001, + "step": 35535 + }, + { + "epoch": 0.84, + "grad_norm": 1.6114252874131065, + "learning_rate": 1.3581169935924355e-06, + "loss": 0.9264, + "step": 35536 + }, + { + "epoch": 0.84, + "grad_norm": 1.580715392757994, + "learning_rate": 1.3577330804933563e-06, + "loss": 0.7394, + "step": 35537 + }, + { + "epoch": 0.84, + "grad_norm": 3.7792423268304103, + "learning_rate": 1.3573492177122916e-06, + "loss": 0.8046, + "step": 35538 + }, + { + "epoch": 0.84, + "grad_norm": 2.2260281932122172, + "learning_rate": 1.356965405251478e-06, + "loss": 0.8545, + "step": 35539 + }, + { + "epoch": 0.84, + "grad_norm": 1.4289730296318188, + "learning_rate": 1.3565816431131474e-06, + "loss": 0.8184, + "step": 35540 + }, + { + "epoch": 0.84, + "grad_norm": 1.5132996734304556, + "learning_rate": 1.3561979312995333e-06, + "loss": 0.7851, + "step": 35541 + }, + { + "epoch": 0.84, + "grad_norm": 1.9435979825301535, + "learning_rate": 1.3558142698128719e-06, + "loss": 0.8581, + "step": 35542 + }, + { + "epoch": 0.84, + "grad_norm": 1.8194828722770273, + "learning_rate": 1.355430658655398e-06, + "loss": 0.6451, + "step": 35543 + }, + { + "epoch": 0.84, + "grad_norm": 1.6805927035927444, + "learning_rate": 1.355047097829344e-06, + "loss": 0.7746, + "step": 35544 + }, + { + "epoch": 0.84, + "grad_norm": 0.7950408430462134, + "learning_rate": 1.3546635873369396e-06, + "loss": 0.7289, + "step": 35545 + }, + { + "epoch": 0.84, + "grad_norm": 1.4603001300592624, + "learning_rate": 1.354280127180424e-06, + "loss": 0.8342, + "step": 35546 + }, + { + "epoch": 0.84, + "grad_norm": 1.63278181159005, + "learning_rate": 1.3538967173620243e-06, + "loss": 0.7397, + "step": 35547 + }, + { + "epoch": 0.84, + "grad_norm": 1.5898530084635643, + "learning_rate": 1.3535133578839777e-06, + "loss": 0.8428, + "step": 35548 + }, + { + "epoch": 0.84, + "grad_norm": 1.5885574968648846, + "learning_rate": 1.3531300487485111e-06, + "loss": 0.8762, + "step": 35549 + }, + { + "epoch": 0.84, + "grad_norm": 0.8176466196448067, + "learning_rate": 1.3527467899578617e-06, + "loss": 0.7615, + "step": 35550 + }, + { + "epoch": 0.84, + "grad_norm": 1.559513736476766, + "learning_rate": 1.3523635815142556e-06, + "loss": 0.8185, + "step": 35551 + }, + { + "epoch": 0.84, + "grad_norm": 1.380545065729994, + "learning_rate": 1.3519804234199286e-06, + "loss": 0.8752, + "step": 35552 + }, + { + "epoch": 0.84, + "grad_norm": 1.7751102441515159, + "learning_rate": 1.351597315677109e-06, + "loss": 0.757, + "step": 35553 + }, + { + "epoch": 0.84, + "grad_norm": 1.63910363840714, + "learning_rate": 1.351214258288026e-06, + "loss": 0.7959, + "step": 35554 + }, + { + "epoch": 0.84, + "grad_norm": 0.8353837022112811, + "learning_rate": 1.3508312512549127e-06, + "loss": 0.7316, + "step": 35555 + }, + { + "epoch": 0.84, + "grad_norm": 3.4495577203324417, + "learning_rate": 1.3504482945799991e-06, + "loss": 0.8596, + "step": 35556 + }, + { + "epoch": 0.84, + "grad_norm": 1.6911100971680488, + "learning_rate": 1.3500653882655146e-06, + "loss": 0.7734, + "step": 35557 + }, + { + "epoch": 0.84, + "grad_norm": 1.8325018058737068, + "learning_rate": 1.3496825323136852e-06, + "loss": 0.909, + "step": 35558 + }, + { + "epoch": 0.84, + "grad_norm": 0.7632722014739891, + "learning_rate": 1.349299726726744e-06, + "loss": 0.6882, + "step": 35559 + }, + { + "epoch": 0.84, + "grad_norm": 1.5201692430669151, + "learning_rate": 1.3489169715069195e-06, + "loss": 0.8484, + "step": 35560 + }, + { + "epoch": 0.84, + "grad_norm": 1.5339801617115665, + "learning_rate": 1.3485342666564394e-06, + "loss": 0.8549, + "step": 35561 + }, + { + "epoch": 0.84, + "grad_norm": 1.71665762981755, + "learning_rate": 1.3481516121775295e-06, + "loss": 0.8091, + "step": 35562 + }, + { + "epoch": 0.84, + "grad_norm": 1.6058756630675095, + "learning_rate": 1.3477690080724203e-06, + "loss": 0.965, + "step": 35563 + }, + { + "epoch": 0.84, + "grad_norm": 0.7476513175070761, + "learning_rate": 1.3473864543433423e-06, + "loss": 0.7214, + "step": 35564 + }, + { + "epoch": 0.84, + "grad_norm": 1.7282429484094164, + "learning_rate": 1.3470039509925192e-06, + "loss": 0.6978, + "step": 35565 + }, + { + "epoch": 0.84, + "grad_norm": 1.7058059500855776, + "learning_rate": 1.346621498022176e-06, + "loss": 0.8903, + "step": 35566 + }, + { + "epoch": 0.84, + "grad_norm": 1.906596820763718, + "learning_rate": 1.3462390954345416e-06, + "loss": 0.8, + "step": 35567 + }, + { + "epoch": 0.84, + "grad_norm": 1.6975202708404122, + "learning_rate": 1.3458567432318458e-06, + "loss": 0.8448, + "step": 35568 + }, + { + "epoch": 0.84, + "grad_norm": 1.6383783173913893, + "learning_rate": 1.3454744414163101e-06, + "loss": 0.8597, + "step": 35569 + }, + { + "epoch": 0.84, + "grad_norm": 1.5987413825150807, + "learning_rate": 1.3450921899901637e-06, + "loss": 0.8269, + "step": 35570 + }, + { + "epoch": 0.84, + "grad_norm": 1.7325952335417714, + "learning_rate": 1.3447099889556302e-06, + "loss": 0.8982, + "step": 35571 + }, + { + "epoch": 0.84, + "grad_norm": 1.4296414885859132, + "learning_rate": 1.3443278383149338e-06, + "loss": 0.8342, + "step": 35572 + }, + { + "epoch": 0.84, + "grad_norm": 0.7211423966228003, + "learning_rate": 1.3439457380703015e-06, + "loss": 0.6746, + "step": 35573 + }, + { + "epoch": 0.84, + "grad_norm": 2.3787946868311485, + "learning_rate": 1.3435636882239588e-06, + "loss": 0.7914, + "step": 35574 + }, + { + "epoch": 0.84, + "grad_norm": 1.432019443308508, + "learning_rate": 1.3431816887781302e-06, + "loss": 0.7122, + "step": 35575 + }, + { + "epoch": 0.84, + "grad_norm": 0.7372459146225064, + "learning_rate": 1.3427997397350356e-06, + "loss": 0.731, + "step": 35576 + }, + { + "epoch": 0.84, + "grad_norm": 1.488652012525969, + "learning_rate": 1.3424178410969013e-06, + "loss": 0.7746, + "step": 35577 + }, + { + "epoch": 0.84, + "grad_norm": 0.7424665810804782, + "learning_rate": 1.3420359928659564e-06, + "loss": 0.7091, + "step": 35578 + }, + { + "epoch": 0.84, + "grad_norm": 1.4643001607762465, + "learning_rate": 1.341654195044414e-06, + "loss": 0.8553, + "step": 35579 + }, + { + "epoch": 0.84, + "grad_norm": 1.7462764071141004, + "learning_rate": 1.341272447634503e-06, + "loss": 0.724, + "step": 35580 + }, + { + "epoch": 0.84, + "grad_norm": 1.5276822443309852, + "learning_rate": 1.340890750638444e-06, + "loss": 0.8732, + "step": 35581 + }, + { + "epoch": 0.84, + "grad_norm": 0.7546343786700012, + "learning_rate": 1.3405091040584628e-06, + "loss": 0.7052, + "step": 35582 + }, + { + "epoch": 0.84, + "grad_norm": 1.689746839047995, + "learning_rate": 1.34012750789678e-06, + "loss": 0.9543, + "step": 35583 + }, + { + "epoch": 0.84, + "grad_norm": 1.640272807099489, + "learning_rate": 1.339745962155613e-06, + "loss": 0.8708, + "step": 35584 + }, + { + "epoch": 0.84, + "grad_norm": 0.7716479316514175, + "learning_rate": 1.3393644668371897e-06, + "loss": 0.6777, + "step": 35585 + }, + { + "epoch": 0.84, + "grad_norm": 1.7275472059106463, + "learning_rate": 1.3389830219437272e-06, + "loss": 0.8938, + "step": 35586 + }, + { + "epoch": 0.84, + "grad_norm": 1.4910706064766723, + "learning_rate": 1.3386016274774482e-06, + "loss": 0.8455, + "step": 35587 + }, + { + "epoch": 0.84, + "grad_norm": 1.7164267629359735, + "learning_rate": 1.338220283440571e-06, + "loss": 0.7552, + "step": 35588 + }, + { + "epoch": 0.84, + "grad_norm": 1.5929311962932806, + "learning_rate": 1.3378389898353206e-06, + "loss": 0.9091, + "step": 35589 + }, + { + "epoch": 0.84, + "grad_norm": 1.369340939006641, + "learning_rate": 1.3374577466639105e-06, + "loss": 0.7332, + "step": 35590 + }, + { + "epoch": 0.84, + "grad_norm": 0.7245829480618106, + "learning_rate": 1.337076553928567e-06, + "loss": 0.675, + "step": 35591 + }, + { + "epoch": 0.84, + "grad_norm": 0.7801986134662559, + "learning_rate": 1.3366954116315057e-06, + "loss": 0.7367, + "step": 35592 + }, + { + "epoch": 0.84, + "grad_norm": 1.4960240821228241, + "learning_rate": 1.3363143197749451e-06, + "loss": 0.777, + "step": 35593 + }, + { + "epoch": 0.84, + "grad_norm": 1.6726266572298902, + "learning_rate": 1.3359332783611045e-06, + "loss": 0.8382, + "step": 35594 + }, + { + "epoch": 0.84, + "grad_norm": 1.4320681653292555, + "learning_rate": 1.3355522873922068e-06, + "loss": 0.8609, + "step": 35595 + }, + { + "epoch": 0.84, + "grad_norm": 1.5526611111783672, + "learning_rate": 1.3351713468704663e-06, + "loss": 0.7977, + "step": 35596 + }, + { + "epoch": 0.84, + "grad_norm": 1.498078583985729, + "learning_rate": 1.3347904567980984e-06, + "loss": 0.8103, + "step": 35597 + }, + { + "epoch": 0.84, + "grad_norm": 1.6660587788328114, + "learning_rate": 1.3344096171773246e-06, + "loss": 0.7719, + "step": 35598 + }, + { + "epoch": 0.84, + "grad_norm": 1.652303845723252, + "learning_rate": 1.3340288280103641e-06, + "loss": 0.8044, + "step": 35599 + }, + { + "epoch": 0.84, + "grad_norm": 1.911135398005811, + "learning_rate": 1.333648089299431e-06, + "loss": 0.7231, + "step": 35600 + }, + { + "epoch": 0.84, + "grad_norm": 1.5199984447687482, + "learning_rate": 1.3332674010467395e-06, + "loss": 0.7626, + "step": 35601 + }, + { + "epoch": 0.84, + "grad_norm": 1.4794984732783905, + "learning_rate": 1.3328867632545094e-06, + "loss": 0.8235, + "step": 35602 + }, + { + "epoch": 0.84, + "grad_norm": 1.5699491469684461, + "learning_rate": 1.3325061759249591e-06, + "loss": 0.7988, + "step": 35603 + }, + { + "epoch": 0.84, + "grad_norm": 1.4795988978405432, + "learning_rate": 1.332125639060302e-06, + "loss": 0.9278, + "step": 35604 + }, + { + "epoch": 0.84, + "grad_norm": 1.5409208999962865, + "learning_rate": 1.3317451526627512e-06, + "loss": 0.8786, + "step": 35605 + }, + { + "epoch": 0.84, + "grad_norm": 2.4995243158961973, + "learning_rate": 1.3313647167345266e-06, + "loss": 0.7947, + "step": 35606 + }, + { + "epoch": 0.84, + "grad_norm": 1.72244466710968, + "learning_rate": 1.330984331277838e-06, + "loss": 0.8857, + "step": 35607 + }, + { + "epoch": 0.84, + "grad_norm": 1.715532746979391, + "learning_rate": 1.330603996294907e-06, + "loss": 0.7997, + "step": 35608 + }, + { + "epoch": 0.84, + "grad_norm": 1.571648077253885, + "learning_rate": 1.3302237117879413e-06, + "loss": 0.6794, + "step": 35609 + }, + { + "epoch": 0.84, + "grad_norm": 1.5456366003608433, + "learning_rate": 1.3298434777591596e-06, + "loss": 0.8894, + "step": 35610 + }, + { + "epoch": 0.84, + "grad_norm": 1.7719915920139564, + "learning_rate": 1.3294632942107733e-06, + "loss": 0.7058, + "step": 35611 + }, + { + "epoch": 0.84, + "grad_norm": 1.9334425195612885, + "learning_rate": 1.3290831611449973e-06, + "loss": 0.7793, + "step": 35612 + }, + { + "epoch": 0.84, + "grad_norm": 1.5690165524746926, + "learning_rate": 1.3287030785640454e-06, + "loss": 0.6991, + "step": 35613 + }, + { + "epoch": 0.84, + "grad_norm": 1.6161376659921685, + "learning_rate": 1.3283230464701268e-06, + "loss": 0.787, + "step": 35614 + }, + { + "epoch": 0.84, + "grad_norm": 1.4296491890084009, + "learning_rate": 1.3279430648654567e-06, + "loss": 0.8894, + "step": 35615 + }, + { + "epoch": 0.84, + "grad_norm": 1.464165730123241, + "learning_rate": 1.327563133752251e-06, + "loss": 0.762, + "step": 35616 + }, + { + "epoch": 0.84, + "grad_norm": 1.8543109651454723, + "learning_rate": 1.3271832531327166e-06, + "loss": 0.8732, + "step": 35617 + }, + { + "epoch": 0.84, + "grad_norm": 2.2664232512730442, + "learning_rate": 1.3268034230090664e-06, + "loss": 0.8422, + "step": 35618 + }, + { + "epoch": 0.84, + "grad_norm": 2.3613402665433876, + "learning_rate": 1.326423643383512e-06, + "loss": 0.8383, + "step": 35619 + }, + { + "epoch": 0.84, + "grad_norm": 1.8618584077453375, + "learning_rate": 1.326043914258267e-06, + "loss": 0.7997, + "step": 35620 + }, + { + "epoch": 0.84, + "grad_norm": 1.3518252517861693, + "learning_rate": 1.325664235635541e-06, + "loss": 0.7186, + "step": 35621 + }, + { + "epoch": 0.84, + "grad_norm": 1.966894800004457, + "learning_rate": 1.3252846075175407e-06, + "loss": 0.9059, + "step": 35622 + }, + { + "epoch": 0.84, + "grad_norm": 2.0781956383563003, + "learning_rate": 1.3249050299064815e-06, + "loss": 0.8944, + "step": 35623 + }, + { + "epoch": 0.84, + "grad_norm": 1.6308199630403672, + "learning_rate": 1.3245255028045722e-06, + "loss": 0.768, + "step": 35624 + }, + { + "epoch": 0.84, + "grad_norm": 1.98709276792244, + "learning_rate": 1.3241460262140237e-06, + "loss": 0.7879, + "step": 35625 + }, + { + "epoch": 0.84, + "grad_norm": 1.768846675881824, + "learning_rate": 1.323766600137041e-06, + "loss": 0.9169, + "step": 35626 + }, + { + "epoch": 0.84, + "grad_norm": 1.524652250303493, + "learning_rate": 1.3233872245758373e-06, + "loss": 0.8366, + "step": 35627 + }, + { + "epoch": 0.84, + "grad_norm": 1.6033663116437906, + "learning_rate": 1.323007899532619e-06, + "loss": 0.8874, + "step": 35628 + }, + { + "epoch": 0.84, + "grad_norm": 1.6214293310853154, + "learning_rate": 1.3226286250095978e-06, + "loss": 0.8507, + "step": 35629 + }, + { + "epoch": 0.84, + "grad_norm": 1.9690023696110202, + "learning_rate": 1.322249401008977e-06, + "loss": 0.7579, + "step": 35630 + }, + { + "epoch": 0.84, + "grad_norm": 1.7740478754978681, + "learning_rate": 1.3218702275329708e-06, + "loss": 0.874, + "step": 35631 + }, + { + "epoch": 0.84, + "grad_norm": 1.585381731969283, + "learning_rate": 1.321491104583781e-06, + "loss": 0.8748, + "step": 35632 + }, + { + "epoch": 0.84, + "grad_norm": 1.653343532870117, + "learning_rate": 1.3211120321636194e-06, + "loss": 0.9315, + "step": 35633 + }, + { + "epoch": 0.84, + "grad_norm": 1.7941809715643326, + "learning_rate": 1.3207330102746907e-06, + "loss": 1.0032, + "step": 35634 + }, + { + "epoch": 0.84, + "grad_norm": 2.0553700339589223, + "learning_rate": 1.3203540389192014e-06, + "loss": 0.8541, + "step": 35635 + }, + { + "epoch": 0.84, + "grad_norm": 1.5783109884325373, + "learning_rate": 1.319975118099358e-06, + "loss": 0.8517, + "step": 35636 + }, + { + "epoch": 0.84, + "grad_norm": 1.9635174712939967, + "learning_rate": 1.3195962478173695e-06, + "loss": 0.9547, + "step": 35637 + }, + { + "epoch": 0.84, + "grad_norm": 1.5888767720957984, + "learning_rate": 1.3192174280754411e-06, + "loss": 0.8696, + "step": 35638 + }, + { + "epoch": 0.84, + "grad_norm": 0.9231566161321133, + "learning_rate": 1.318838658875774e-06, + "loss": 0.7557, + "step": 35639 + }, + { + "epoch": 0.84, + "grad_norm": 1.7807250072220313, + "learning_rate": 1.3184599402205766e-06, + "loss": 0.9094, + "step": 35640 + }, + { + "epoch": 0.84, + "grad_norm": 2.049506389215925, + "learning_rate": 1.318081272112056e-06, + "loss": 0.8738, + "step": 35641 + }, + { + "epoch": 0.84, + "grad_norm": 0.7691774308071134, + "learning_rate": 1.3177026545524152e-06, + "loss": 0.7185, + "step": 35642 + }, + { + "epoch": 0.84, + "grad_norm": 1.7362589074416497, + "learning_rate": 1.3173240875438565e-06, + "loss": 0.7432, + "step": 35643 + }, + { + "epoch": 0.84, + "grad_norm": 1.8155581256437, + "learning_rate": 1.3169455710885847e-06, + "loss": 0.7769, + "step": 35644 + }, + { + "epoch": 0.84, + "grad_norm": 1.5172981275424902, + "learning_rate": 1.3165671051888073e-06, + "loss": 0.7255, + "step": 35645 + }, + { + "epoch": 0.84, + "grad_norm": 1.6425612897731674, + "learning_rate": 1.316188689846727e-06, + "loss": 0.7711, + "step": 35646 + }, + { + "epoch": 0.84, + "grad_norm": 1.6719315190098112, + "learning_rate": 1.3158103250645416e-06, + "loss": 0.8585, + "step": 35647 + }, + { + "epoch": 0.84, + "grad_norm": 1.6397408844313743, + "learning_rate": 1.3154320108444597e-06, + "loss": 0.8275, + "step": 35648 + }, + { + "epoch": 0.84, + "grad_norm": 0.7335244433550895, + "learning_rate": 1.3150537471886814e-06, + "loss": 0.7251, + "step": 35649 + }, + { + "epoch": 0.84, + "grad_norm": 1.7409787094548248, + "learning_rate": 1.314675534099411e-06, + "loss": 0.7734, + "step": 35650 + }, + { + "epoch": 0.84, + "grad_norm": 2.1729317183390098, + "learning_rate": 1.3142973715788477e-06, + "loss": 0.8071, + "step": 35651 + }, + { + "epoch": 0.84, + "grad_norm": 1.7878642609048518, + "learning_rate": 1.313919259629196e-06, + "loss": 0.793, + "step": 35652 + }, + { + "epoch": 0.84, + "grad_norm": 2.855227234577425, + "learning_rate": 1.3135411982526546e-06, + "loss": 0.8774, + "step": 35653 + }, + { + "epoch": 0.84, + "grad_norm": 1.8109287708710202, + "learning_rate": 1.3131631874514272e-06, + "loss": 0.7628, + "step": 35654 + }, + { + "epoch": 0.84, + "grad_norm": 5.936295309835491, + "learning_rate": 1.3127852272277187e-06, + "loss": 0.8755, + "step": 35655 + }, + { + "epoch": 0.84, + "grad_norm": 0.7809905243970765, + "learning_rate": 1.3124073175837193e-06, + "loss": 0.7057, + "step": 35656 + }, + { + "epoch": 0.84, + "grad_norm": 0.7460087131988917, + "learning_rate": 1.3120294585216353e-06, + "loss": 0.7015, + "step": 35657 + }, + { + "epoch": 0.84, + "grad_norm": 1.7670565411073194, + "learning_rate": 1.311651650043666e-06, + "loss": 0.7393, + "step": 35658 + }, + { + "epoch": 0.84, + "grad_norm": 1.474706903052446, + "learning_rate": 1.3112738921520164e-06, + "loss": 0.621, + "step": 35659 + }, + { + "epoch": 0.84, + "grad_norm": 1.5426289596220972, + "learning_rate": 1.3108961848488767e-06, + "loss": 0.8218, + "step": 35660 + }, + { + "epoch": 0.84, + "grad_norm": 1.4566933713176555, + "learning_rate": 1.3105185281364507e-06, + "loss": 0.8686, + "step": 35661 + }, + { + "epoch": 0.84, + "grad_norm": 1.5289646377900548, + "learning_rate": 1.310140922016938e-06, + "loss": 0.7729, + "step": 35662 + }, + { + "epoch": 0.84, + "grad_norm": 1.5672507539417941, + "learning_rate": 1.309763366492537e-06, + "loss": 0.7645, + "step": 35663 + }, + { + "epoch": 0.84, + "grad_norm": 2.1961845783729417, + "learning_rate": 1.3093858615654421e-06, + "loss": 0.8283, + "step": 35664 + }, + { + "epoch": 0.84, + "grad_norm": 1.5149116643630074, + "learning_rate": 1.309008407237854e-06, + "loss": 0.8373, + "step": 35665 + }, + { + "epoch": 0.84, + "grad_norm": 1.6459819582647908, + "learning_rate": 1.3086310035119732e-06, + "loss": 0.8347, + "step": 35666 + }, + { + "epoch": 0.84, + "grad_norm": 1.5702566769597521, + "learning_rate": 1.3082536503899922e-06, + "loss": 0.8145, + "step": 35667 + }, + { + "epoch": 0.84, + "grad_norm": 1.4306894691305854, + "learning_rate": 1.3078763478741118e-06, + "loss": 0.7721, + "step": 35668 + }, + { + "epoch": 0.84, + "grad_norm": 2.236299785674953, + "learning_rate": 1.3074990959665279e-06, + "loss": 0.7993, + "step": 35669 + }, + { + "epoch": 0.84, + "grad_norm": 1.6431899986432907, + "learning_rate": 1.307121894669433e-06, + "loss": 0.7562, + "step": 35670 + }, + { + "epoch": 0.84, + "grad_norm": 1.7686478275242254, + "learning_rate": 1.3067447439850279e-06, + "loss": 0.9273, + "step": 35671 + }, + { + "epoch": 0.84, + "grad_norm": 1.8662027805662624, + "learning_rate": 1.306367643915508e-06, + "loss": 0.7805, + "step": 35672 + }, + { + "epoch": 0.84, + "grad_norm": 1.5836034327287687, + "learning_rate": 1.3059905944630691e-06, + "loss": 0.7888, + "step": 35673 + }, + { + "epoch": 0.84, + "grad_norm": 1.6111653618898143, + "learning_rate": 1.3056135956299032e-06, + "loss": 0.8842, + "step": 35674 + }, + { + "epoch": 0.84, + "grad_norm": 1.5773210067568355, + "learning_rate": 1.3052366474182065e-06, + "loss": 0.8139, + "step": 35675 + }, + { + "epoch": 0.84, + "grad_norm": 1.5629933335780628, + "learning_rate": 1.3048597498301808e-06, + "loss": 0.9145, + "step": 35676 + }, + { + "epoch": 0.84, + "grad_norm": 1.4448431968530306, + "learning_rate": 1.3044829028680084e-06, + "loss": 0.8089, + "step": 35677 + }, + { + "epoch": 0.84, + "grad_norm": 1.466446104268479, + "learning_rate": 1.30410610653389e-06, + "loss": 0.8438, + "step": 35678 + }, + { + "epoch": 0.84, + "grad_norm": 1.8230217488228189, + "learning_rate": 1.3037293608300195e-06, + "loss": 0.8227, + "step": 35679 + }, + { + "epoch": 0.84, + "grad_norm": 1.5139320466231363, + "learning_rate": 1.3033526657585915e-06, + "loss": 0.9552, + "step": 35680 + }, + { + "epoch": 0.84, + "grad_norm": 1.4340200442051005, + "learning_rate": 1.302976021321798e-06, + "loss": 0.8035, + "step": 35681 + }, + { + "epoch": 0.84, + "grad_norm": 1.5829559675236347, + "learning_rate": 1.302599427521829e-06, + "loss": 0.8512, + "step": 35682 + }, + { + "epoch": 0.84, + "grad_norm": 1.7199012473278041, + "learning_rate": 1.302222884360882e-06, + "loss": 0.8375, + "step": 35683 + }, + { + "epoch": 0.84, + "grad_norm": 1.624907351735355, + "learning_rate": 1.301846391841145e-06, + "loss": 0.917, + "step": 35684 + }, + { + "epoch": 0.84, + "grad_norm": 1.764890230975145, + "learning_rate": 1.3014699499648142e-06, + "loss": 0.7056, + "step": 35685 + }, + { + "epoch": 0.84, + "grad_norm": 1.6616693853514914, + "learning_rate": 1.3010935587340767e-06, + "loss": 0.8718, + "step": 35686 + }, + { + "epoch": 0.84, + "grad_norm": 1.6503418419508467, + "learning_rate": 1.3007172181511296e-06, + "loss": 0.7798, + "step": 35687 + }, + { + "epoch": 0.84, + "grad_norm": 2.3240411337060243, + "learning_rate": 1.3003409282181579e-06, + "loss": 0.9573, + "step": 35688 + }, + { + "epoch": 0.84, + "grad_norm": 0.7699198686690563, + "learning_rate": 1.2999646889373585e-06, + "loss": 0.7304, + "step": 35689 + }, + { + "epoch": 0.84, + "grad_norm": 1.5655035769984746, + "learning_rate": 1.2995885003109166e-06, + "loss": 0.7928, + "step": 35690 + }, + { + "epoch": 0.84, + "grad_norm": 1.4001638699909702, + "learning_rate": 1.2992123623410268e-06, + "loss": 0.8124, + "step": 35691 + }, + { + "epoch": 0.84, + "grad_norm": 0.7660291975792549, + "learning_rate": 1.2988362750298754e-06, + "loss": 0.7075, + "step": 35692 + }, + { + "epoch": 0.84, + "grad_norm": 1.7321770374835699, + "learning_rate": 1.2984602383796551e-06, + "loss": 0.8743, + "step": 35693 + }, + { + "epoch": 0.84, + "grad_norm": 1.5995098668083418, + "learning_rate": 1.2980842523925553e-06, + "loss": 0.6909, + "step": 35694 + }, + { + "epoch": 0.84, + "grad_norm": 1.603088648741776, + "learning_rate": 1.2977083170707616e-06, + "loss": 0.7998, + "step": 35695 + }, + { + "epoch": 0.84, + "grad_norm": 1.5918652312288581, + "learning_rate": 1.2973324324164649e-06, + "loss": 0.8403, + "step": 35696 + }, + { + "epoch": 0.84, + "grad_norm": 1.7047425634215054, + "learning_rate": 1.2969565984318567e-06, + "loss": 0.7995, + "step": 35697 + }, + { + "epoch": 0.84, + "grad_norm": 1.8547547912720614, + "learning_rate": 1.2965808151191229e-06, + "loss": 0.8527, + "step": 35698 + }, + { + "epoch": 0.84, + "grad_norm": 1.605154044645456, + "learning_rate": 1.2962050824804472e-06, + "loss": 0.9571, + "step": 35699 + }, + { + "epoch": 0.84, + "grad_norm": 1.8274391271750199, + "learning_rate": 1.2958294005180228e-06, + "loss": 0.9064, + "step": 35700 + }, + { + "epoch": 0.84, + "grad_norm": 1.568729113975638, + "learning_rate": 1.2954537692340363e-06, + "loss": 0.7858, + "step": 35701 + }, + { + "epoch": 0.84, + "grad_norm": 1.5253494402102206, + "learning_rate": 1.295078188630674e-06, + "loss": 0.7202, + "step": 35702 + }, + { + "epoch": 0.84, + "grad_norm": 1.7852922523965646, + "learning_rate": 1.2947026587101208e-06, + "loss": 0.9431, + "step": 35703 + }, + { + "epoch": 0.84, + "grad_norm": 2.1072608501871297, + "learning_rate": 1.2943271794745649e-06, + "loss": 0.7335, + "step": 35704 + }, + { + "epoch": 0.84, + "grad_norm": 1.8364875477074938, + "learning_rate": 1.2939517509261934e-06, + "loss": 0.8031, + "step": 35705 + }, + { + "epoch": 0.84, + "grad_norm": 1.5509160660179067, + "learning_rate": 1.2935763730671923e-06, + "loss": 0.8525, + "step": 35706 + }, + { + "epoch": 0.84, + "grad_norm": 1.5504400388538562, + "learning_rate": 1.2932010458997434e-06, + "loss": 0.8196, + "step": 35707 + }, + { + "epoch": 0.84, + "grad_norm": 1.917860023569752, + "learning_rate": 1.2928257694260359e-06, + "loss": 0.7918, + "step": 35708 + }, + { + "epoch": 0.84, + "grad_norm": 1.4817383186014055, + "learning_rate": 1.2924505436482527e-06, + "loss": 0.8758, + "step": 35709 + }, + { + "epoch": 0.84, + "grad_norm": 1.5079383800640354, + "learning_rate": 1.2920753685685805e-06, + "loss": 0.9816, + "step": 35710 + }, + { + "epoch": 0.84, + "grad_norm": 1.5577905865195607, + "learning_rate": 1.2917002441892002e-06, + "loss": 0.8614, + "step": 35711 + }, + { + "epoch": 0.84, + "grad_norm": 1.6498660363780049, + "learning_rate": 1.2913251705122998e-06, + "loss": 0.9606, + "step": 35712 + }, + { + "epoch": 0.84, + "grad_norm": 1.6317318728009942, + "learning_rate": 1.2909501475400598e-06, + "loss": 0.8325, + "step": 35713 + }, + { + "epoch": 0.84, + "grad_norm": 1.7652664089440704, + "learning_rate": 1.2905751752746676e-06, + "loss": 0.879, + "step": 35714 + }, + { + "epoch": 0.84, + "grad_norm": 1.5632022541493256, + "learning_rate": 1.2902002537183044e-06, + "loss": 0.8654, + "step": 35715 + }, + { + "epoch": 0.84, + "grad_norm": 2.9294939892955214, + "learning_rate": 1.28982538287315e-06, + "loss": 0.731, + "step": 35716 + }, + { + "epoch": 0.84, + "grad_norm": 1.534219537012723, + "learning_rate": 1.28945056274139e-06, + "loss": 0.8006, + "step": 35717 + }, + { + "epoch": 0.84, + "grad_norm": 1.8372302123623703, + "learning_rate": 1.2890757933252084e-06, + "loss": 0.7656, + "step": 35718 + }, + { + "epoch": 0.84, + "grad_norm": 1.6233684298586903, + "learning_rate": 1.2887010746267859e-06, + "loss": 0.8923, + "step": 35719 + }, + { + "epoch": 0.84, + "grad_norm": 0.7186363637914283, + "learning_rate": 1.2883264066483015e-06, + "loss": 0.7042, + "step": 35720 + }, + { + "epoch": 0.84, + "grad_norm": 1.5196938257658876, + "learning_rate": 1.287951789391938e-06, + "loss": 0.7354, + "step": 35721 + }, + { + "epoch": 0.84, + "grad_norm": 1.5957207252900156, + "learning_rate": 1.2875772228598805e-06, + "loss": 0.8004, + "step": 35722 + }, + { + "epoch": 0.84, + "grad_norm": 1.5826249615316368, + "learning_rate": 1.2872027070543057e-06, + "loss": 0.9501, + "step": 35723 + }, + { + "epoch": 0.84, + "grad_norm": 2.0204657409056206, + "learning_rate": 1.2868282419773936e-06, + "loss": 0.8789, + "step": 35724 + }, + { + "epoch": 0.84, + "grad_norm": 1.6027608738438404, + "learning_rate": 1.2864538276313265e-06, + "loss": 0.8763, + "step": 35725 + }, + { + "epoch": 0.84, + "grad_norm": 1.6755032232489802, + "learning_rate": 1.286079464018285e-06, + "loss": 0.8508, + "step": 35726 + }, + { + "epoch": 0.84, + "grad_norm": 1.6695330974528917, + "learning_rate": 1.2857051511404484e-06, + "loss": 0.8024, + "step": 35727 + }, + { + "epoch": 0.84, + "grad_norm": 1.6513576102994205, + "learning_rate": 1.2853308889999927e-06, + "loss": 0.6461, + "step": 35728 + }, + { + "epoch": 0.84, + "grad_norm": 1.6695855732545573, + "learning_rate": 1.2849566775991029e-06, + "loss": 0.8163, + "step": 35729 + }, + { + "epoch": 0.84, + "grad_norm": 1.5568057011639265, + "learning_rate": 1.2845825169399506e-06, + "loss": 0.8498, + "step": 35730 + }, + { + "epoch": 0.84, + "grad_norm": 1.47359813153026, + "learning_rate": 1.2842084070247217e-06, + "loss": 0.7229, + "step": 35731 + }, + { + "epoch": 0.84, + "grad_norm": 1.6393860230986095, + "learning_rate": 1.283834347855588e-06, + "loss": 0.9172, + "step": 35732 + }, + { + "epoch": 0.84, + "grad_norm": 2.107943885595552, + "learning_rate": 1.2834603394347323e-06, + "loss": 0.8611, + "step": 35733 + }, + { + "epoch": 0.84, + "grad_norm": 0.7996388562270502, + "learning_rate": 1.2830863817643279e-06, + "loss": 0.7408, + "step": 35734 + }, + { + "epoch": 0.84, + "grad_norm": 2.0310385592415963, + "learning_rate": 1.2827124748465569e-06, + "loss": 0.7873, + "step": 35735 + }, + { + "epoch": 0.84, + "grad_norm": 1.6133025855435663, + "learning_rate": 1.282338618683594e-06, + "loss": 0.8836, + "step": 35736 + }, + { + "epoch": 0.84, + "grad_norm": 1.7052521370016855, + "learning_rate": 1.281964813277612e-06, + "loss": 0.8524, + "step": 35737 + }, + { + "epoch": 0.84, + "grad_norm": 1.5411178543588793, + "learning_rate": 1.2815910586307923e-06, + "loss": 0.81, + "step": 35738 + }, + { + "epoch": 0.84, + "grad_norm": 1.6297063971137458, + "learning_rate": 1.281217354745311e-06, + "loss": 0.8419, + "step": 35739 + }, + { + "epoch": 0.84, + "grad_norm": 1.4437218206446367, + "learning_rate": 1.2808437016233433e-06, + "loss": 0.8497, + "step": 35740 + }, + { + "epoch": 0.84, + "grad_norm": 1.833310077932388, + "learning_rate": 1.2804700992670616e-06, + "loss": 0.8586, + "step": 35741 + }, + { + "epoch": 0.84, + "grad_norm": 1.6645175494667124, + "learning_rate": 1.2800965476786431e-06, + "loss": 0.8067, + "step": 35742 + }, + { + "epoch": 0.84, + "grad_norm": 1.7862013111972044, + "learning_rate": 1.279723046860266e-06, + "loss": 0.7765, + "step": 35743 + }, + { + "epoch": 0.84, + "grad_norm": 1.5525043816168582, + "learning_rate": 1.2793495968141023e-06, + "loss": 0.7872, + "step": 35744 + }, + { + "epoch": 0.84, + "grad_norm": 1.6596241110413266, + "learning_rate": 1.2789761975423231e-06, + "loss": 0.8869, + "step": 35745 + }, + { + "epoch": 0.84, + "grad_norm": 1.6503727326819904, + "learning_rate": 1.2786028490471058e-06, + "loss": 0.7451, + "step": 35746 + }, + { + "epoch": 0.84, + "grad_norm": 1.8132069071837371, + "learning_rate": 1.2782295513306264e-06, + "loss": 0.7609, + "step": 35747 + }, + { + "epoch": 0.84, + "grad_norm": 1.4976702715298376, + "learning_rate": 1.2778563043950553e-06, + "loss": 0.8275, + "step": 35748 + }, + { + "epoch": 0.84, + "grad_norm": 1.6203479302530488, + "learning_rate": 1.2774831082425644e-06, + "loss": 0.8917, + "step": 35749 + }, + { + "epoch": 0.84, + "grad_norm": 1.5799841833532204, + "learning_rate": 1.2771099628753304e-06, + "loss": 0.7533, + "step": 35750 + }, + { + "epoch": 0.84, + "grad_norm": 1.5375319710395012, + "learning_rate": 1.2767368682955216e-06, + "loss": 0.708, + "step": 35751 + }, + { + "epoch": 0.84, + "grad_norm": 1.581688925325074, + "learning_rate": 1.2763638245053134e-06, + "loss": 0.6965, + "step": 35752 + }, + { + "epoch": 0.84, + "grad_norm": 1.4755218066564708, + "learning_rate": 1.275990831506878e-06, + "loss": 0.8099, + "step": 35753 + }, + { + "epoch": 0.84, + "grad_norm": 1.690171648836501, + "learning_rate": 1.2756178893023862e-06, + "loss": 0.8172, + "step": 35754 + }, + { + "epoch": 0.84, + "grad_norm": 1.7273075381313614, + "learning_rate": 1.2752449978940062e-06, + "loss": 0.9119, + "step": 35755 + }, + { + "epoch": 0.84, + "grad_norm": 1.5002558396374461, + "learning_rate": 1.274872157283913e-06, + "loss": 0.8781, + "step": 35756 + }, + { + "epoch": 0.84, + "grad_norm": 1.5335466000153657, + "learning_rate": 1.2744993674742812e-06, + "loss": 0.8311, + "step": 35757 + }, + { + "epoch": 0.84, + "grad_norm": 1.7845994827427827, + "learning_rate": 1.2741266284672704e-06, + "loss": 0.8366, + "step": 35758 + }, + { + "epoch": 0.84, + "grad_norm": 1.6625752658988806, + "learning_rate": 1.273753940265059e-06, + "loss": 0.7879, + "step": 35759 + }, + { + "epoch": 0.84, + "grad_norm": 1.9784036068141069, + "learning_rate": 1.2733813028698138e-06, + "loss": 1.0288, + "step": 35760 + }, + { + "epoch": 0.84, + "grad_norm": 1.9399274047938704, + "learning_rate": 1.273008716283709e-06, + "loss": 0.7081, + "step": 35761 + }, + { + "epoch": 0.84, + "grad_norm": 1.557209213447683, + "learning_rate": 1.2726361805089072e-06, + "loss": 0.7455, + "step": 35762 + }, + { + "epoch": 0.84, + "grad_norm": 1.7003978054248077, + "learning_rate": 1.272263695547581e-06, + "loss": 0.7787, + "step": 35763 + }, + { + "epoch": 0.84, + "grad_norm": 1.6655682016649274, + "learning_rate": 1.2718912614018996e-06, + "loss": 0.9203, + "step": 35764 + }, + { + "epoch": 0.84, + "grad_norm": 1.3763985631001316, + "learning_rate": 1.2715188780740295e-06, + "loss": 0.9556, + "step": 35765 + }, + { + "epoch": 0.84, + "grad_norm": 2.195851869457485, + "learning_rate": 1.271146545566141e-06, + "loss": 0.7485, + "step": 35766 + }, + { + "epoch": 0.84, + "grad_norm": 1.8684071407554355, + "learning_rate": 1.2707742638803987e-06, + "loss": 0.7768, + "step": 35767 + }, + { + "epoch": 0.84, + "grad_norm": 1.470019814274826, + "learning_rate": 1.2704020330189759e-06, + "loss": 0.8629, + "step": 35768 + }, + { + "epoch": 0.84, + "grad_norm": 1.548523792455915, + "learning_rate": 1.2700298529840327e-06, + "loss": 0.9607, + "step": 35769 + }, + { + "epoch": 0.84, + "grad_norm": 1.838254010408392, + "learning_rate": 1.2696577237777418e-06, + "loss": 0.9457, + "step": 35770 + }, + { + "epoch": 0.84, + "grad_norm": 1.5233763711537185, + "learning_rate": 1.2692856454022684e-06, + "loss": 0.8598, + "step": 35771 + }, + { + "epoch": 0.84, + "grad_norm": 1.7680370765873652, + "learning_rate": 1.268913617859775e-06, + "loss": 0.8062, + "step": 35772 + }, + { + "epoch": 0.84, + "grad_norm": 1.6890456315111306, + "learning_rate": 1.268541641152431e-06, + "loss": 0.8406, + "step": 35773 + }, + { + "epoch": 0.84, + "grad_norm": 1.5188518598114562, + "learning_rate": 1.2681697152824045e-06, + "loss": 0.7576, + "step": 35774 + }, + { + "epoch": 0.84, + "grad_norm": 1.6259535768533826, + "learning_rate": 1.2677978402518576e-06, + "loss": 0.7497, + "step": 35775 + }, + { + "epoch": 0.84, + "grad_norm": 1.7225064866848248, + "learning_rate": 1.2674260160629547e-06, + "loss": 0.8853, + "step": 35776 + }, + { + "epoch": 0.84, + "grad_norm": 1.3755480212416964, + "learning_rate": 1.2670542427178623e-06, + "loss": 0.8009, + "step": 35777 + }, + { + "epoch": 0.84, + "grad_norm": 1.5307849613810098, + "learning_rate": 1.266682520218747e-06, + "loss": 0.7817, + "step": 35778 + }, + { + "epoch": 0.84, + "grad_norm": 1.6463863028708154, + "learning_rate": 1.266310848567771e-06, + "loss": 0.8394, + "step": 35779 + }, + { + "epoch": 0.84, + "grad_norm": 1.4397743746459275, + "learning_rate": 1.2659392277670956e-06, + "loss": 0.8165, + "step": 35780 + }, + { + "epoch": 0.84, + "grad_norm": 1.599892804690698, + "learning_rate": 1.265567657818888e-06, + "loss": 0.8209, + "step": 35781 + }, + { + "epoch": 0.84, + "grad_norm": 1.4146376985702962, + "learning_rate": 1.265196138725312e-06, + "loss": 0.845, + "step": 35782 + }, + { + "epoch": 0.84, + "grad_norm": 1.331501075052715, + "learning_rate": 1.2648246704885303e-06, + "loss": 0.7523, + "step": 35783 + }, + { + "epoch": 0.84, + "grad_norm": 1.722973366533524, + "learning_rate": 1.2644532531107024e-06, + "loss": 0.7851, + "step": 35784 + }, + { + "epoch": 0.84, + "grad_norm": 1.449871806745659, + "learning_rate": 1.2640818865939952e-06, + "loss": 0.8002, + "step": 35785 + }, + { + "epoch": 0.84, + "grad_norm": 1.675564166364995, + "learning_rate": 1.2637105709405662e-06, + "loss": 0.6926, + "step": 35786 + }, + { + "epoch": 0.84, + "grad_norm": 1.726945596020389, + "learning_rate": 1.2633393061525834e-06, + "loss": 0.7079, + "step": 35787 + }, + { + "epoch": 0.84, + "grad_norm": 2.575925857689508, + "learning_rate": 1.262968092232203e-06, + "loss": 0.9147, + "step": 35788 + }, + { + "epoch": 0.84, + "grad_norm": 2.0339707606880872, + "learning_rate": 1.2625969291815899e-06, + "loss": 0.8175, + "step": 35789 + }, + { + "epoch": 0.84, + "grad_norm": 1.4757283822148135, + "learning_rate": 1.2622258170029023e-06, + "loss": 0.937, + "step": 35790 + }, + { + "epoch": 0.84, + "grad_norm": 1.6911385865700577, + "learning_rate": 1.2618547556983042e-06, + "loss": 0.8773, + "step": 35791 + }, + { + "epoch": 0.84, + "grad_norm": 1.6031466259442315, + "learning_rate": 1.2614837452699536e-06, + "loss": 0.8323, + "step": 35792 + }, + { + "epoch": 0.84, + "grad_norm": 1.663954545210885, + "learning_rate": 1.26111278572001e-06, + "loss": 0.7953, + "step": 35793 + }, + { + "epoch": 0.84, + "grad_norm": 0.8159333744790507, + "learning_rate": 1.2607418770506342e-06, + "loss": 0.7243, + "step": 35794 + }, + { + "epoch": 0.84, + "grad_norm": 1.5822974158088599, + "learning_rate": 1.2603710192639874e-06, + "loss": 0.9122, + "step": 35795 + }, + { + "epoch": 0.84, + "grad_norm": 1.6838982308940884, + "learning_rate": 1.2600002123622279e-06, + "loss": 0.9791, + "step": 35796 + }, + { + "epoch": 0.84, + "grad_norm": 1.7555234199666305, + "learning_rate": 1.259629456347512e-06, + "loss": 0.9311, + "step": 35797 + }, + { + "epoch": 0.84, + "grad_norm": 1.658884329247299, + "learning_rate": 1.2592587512220011e-06, + "loss": 0.7633, + "step": 35798 + }, + { + "epoch": 0.84, + "grad_norm": 1.4568094181029532, + "learning_rate": 1.2588880969878547e-06, + "loss": 0.7461, + "step": 35799 + }, + { + "epoch": 0.84, + "grad_norm": 1.599295409999182, + "learning_rate": 1.2585174936472288e-06, + "loss": 0.8685, + "step": 35800 + }, + { + "epoch": 0.84, + "grad_norm": 1.4287686474011927, + "learning_rate": 1.2581469412022806e-06, + "loss": 0.896, + "step": 35801 + }, + { + "epoch": 0.84, + "grad_norm": 1.479232892874715, + "learning_rate": 1.2577764396551673e-06, + "loss": 0.887, + "step": 35802 + }, + { + "epoch": 0.84, + "grad_norm": 0.7703194026388093, + "learning_rate": 1.2574059890080502e-06, + "loss": 0.6957, + "step": 35803 + }, + { + "epoch": 0.84, + "grad_norm": 1.746930735002354, + "learning_rate": 1.2570355892630825e-06, + "loss": 0.9715, + "step": 35804 + }, + { + "epoch": 0.84, + "grad_norm": 1.6325032199946798, + "learning_rate": 1.25666524042242e-06, + "loss": 0.8543, + "step": 35805 + }, + { + "epoch": 0.84, + "grad_norm": 1.6137772994748993, + "learning_rate": 1.2562949424882232e-06, + "loss": 0.7667, + "step": 35806 + }, + { + "epoch": 0.84, + "grad_norm": 1.8354519745628948, + "learning_rate": 1.2559246954626424e-06, + "loss": 0.853, + "step": 35807 + }, + { + "epoch": 0.84, + "grad_norm": 1.5629271335834904, + "learning_rate": 1.2555544993478386e-06, + "loss": 0.7427, + "step": 35808 + }, + { + "epoch": 0.84, + "grad_norm": 1.6021182968660812, + "learning_rate": 1.255184354145963e-06, + "loss": 0.7568, + "step": 35809 + }, + { + "epoch": 0.84, + "grad_norm": 1.5906281954585908, + "learning_rate": 1.254814259859175e-06, + "loss": 0.9071, + "step": 35810 + }, + { + "epoch": 0.84, + "grad_norm": 1.517606538199138, + "learning_rate": 1.2544442164896254e-06, + "loss": 0.8722, + "step": 35811 + }, + { + "epoch": 0.84, + "grad_norm": 1.6747533970741904, + "learning_rate": 1.254074224039471e-06, + "loss": 0.8648, + "step": 35812 + }, + { + "epoch": 0.84, + "grad_norm": 1.74248592431922, + "learning_rate": 1.2537042825108647e-06, + "loss": 0.7869, + "step": 35813 + }, + { + "epoch": 0.84, + "grad_norm": 1.6452629142351354, + "learning_rate": 1.2533343919059626e-06, + "loss": 0.7893, + "step": 35814 + }, + { + "epoch": 0.84, + "grad_norm": 2.1806282160040347, + "learning_rate": 1.2529645522269151e-06, + "loss": 0.8912, + "step": 35815 + }, + { + "epoch": 0.84, + "grad_norm": 2.0761260935581753, + "learning_rate": 1.2525947634758784e-06, + "loss": 0.7801, + "step": 35816 + }, + { + "epoch": 0.84, + "grad_norm": 1.5829774221679216, + "learning_rate": 1.252225025655005e-06, + "loss": 0.7627, + "step": 35817 + }, + { + "epoch": 0.84, + "grad_norm": 1.5090121051897731, + "learning_rate": 1.2518553387664456e-06, + "loss": 0.7645, + "step": 35818 + }, + { + "epoch": 0.84, + "grad_norm": 1.4589128945929526, + "learning_rate": 1.251485702812353e-06, + "loss": 0.8074, + "step": 35819 + }, + { + "epoch": 0.84, + "grad_norm": 1.7489984707964652, + "learning_rate": 1.2511161177948827e-06, + "loss": 0.7573, + "step": 35820 + }, + { + "epoch": 0.84, + "grad_norm": 1.5910668305043723, + "learning_rate": 1.2507465837161848e-06, + "loss": 0.8898, + "step": 35821 + }, + { + "epoch": 0.84, + "grad_norm": 1.6792175467402726, + "learning_rate": 1.2503771005784071e-06, + "loss": 0.8294, + "step": 35822 + }, + { + "epoch": 0.84, + "grad_norm": 1.5355628266113408, + "learning_rate": 1.2500076683837048e-06, + "loss": 0.8949, + "step": 35823 + }, + { + "epoch": 0.84, + "grad_norm": 1.7224568387724999, + "learning_rate": 1.2496382871342295e-06, + "loss": 0.8839, + "step": 35824 + }, + { + "epoch": 0.84, + "grad_norm": 1.5902218593289321, + "learning_rate": 1.2492689568321314e-06, + "loss": 0.7646, + "step": 35825 + }, + { + "epoch": 0.84, + "grad_norm": 0.7622192947592763, + "learning_rate": 1.248899677479557e-06, + "loss": 0.6992, + "step": 35826 + }, + { + "epoch": 0.84, + "grad_norm": 1.7301706476841077, + "learning_rate": 1.2485304490786587e-06, + "loss": 0.758, + "step": 35827 + }, + { + "epoch": 0.84, + "grad_norm": 1.7341118685581922, + "learning_rate": 1.2481612716315905e-06, + "loss": 0.8935, + "step": 35828 + }, + { + "epoch": 0.84, + "grad_norm": 1.9690088388464353, + "learning_rate": 1.2477921451404973e-06, + "loss": 0.9184, + "step": 35829 + }, + { + "epoch": 0.84, + "grad_norm": 1.6910738011403512, + "learning_rate": 1.2474230696075262e-06, + "loss": 0.9232, + "step": 35830 + }, + { + "epoch": 0.84, + "grad_norm": 1.4469478473837865, + "learning_rate": 1.2470540450348323e-06, + "loss": 0.7413, + "step": 35831 + }, + { + "epoch": 0.84, + "grad_norm": 1.5635623853602123, + "learning_rate": 1.2466850714245581e-06, + "loss": 0.7577, + "step": 35832 + }, + { + "epoch": 0.84, + "grad_norm": 1.5891749133699693, + "learning_rate": 1.2463161487788578e-06, + "loss": 0.8204, + "step": 35833 + }, + { + "epoch": 0.84, + "grad_norm": 2.276343171137933, + "learning_rate": 1.2459472770998727e-06, + "loss": 0.7887, + "step": 35834 + }, + { + "epoch": 0.84, + "grad_norm": 2.4370024275731588, + "learning_rate": 1.2455784563897577e-06, + "loss": 0.8329, + "step": 35835 + }, + { + "epoch": 0.84, + "grad_norm": 1.5233439079177937, + "learning_rate": 1.2452096866506536e-06, + "loss": 0.909, + "step": 35836 + }, + { + "epoch": 0.84, + "grad_norm": 1.9632438577883466, + "learning_rate": 1.2448409678847117e-06, + "loss": 0.8554, + "step": 35837 + }, + { + "epoch": 0.84, + "grad_norm": 1.5270746044929344, + "learning_rate": 1.2444723000940785e-06, + "loss": 0.6752, + "step": 35838 + }, + { + "epoch": 0.84, + "grad_norm": 1.8196348125837591, + "learning_rate": 1.2441036832808973e-06, + "loss": 0.7656, + "step": 35839 + }, + { + "epoch": 0.84, + "grad_norm": 1.7734175185298076, + "learning_rate": 1.2437351174473167e-06, + "loss": 0.9048, + "step": 35840 + }, + { + "epoch": 0.84, + "grad_norm": 1.7109302456706883, + "learning_rate": 1.2433666025954815e-06, + "loss": 0.7561, + "step": 35841 + }, + { + "epoch": 0.84, + "grad_norm": 1.717672452674541, + "learning_rate": 1.2429981387275435e-06, + "loss": 0.8034, + "step": 35842 + }, + { + "epoch": 0.84, + "grad_norm": 1.818094380649587, + "learning_rate": 1.2426297258456388e-06, + "loss": 0.7992, + "step": 35843 + }, + { + "epoch": 0.84, + "grad_norm": 2.1203637404886555, + "learning_rate": 1.2422613639519154e-06, + "loss": 0.8153, + "step": 35844 + }, + { + "epoch": 0.84, + "grad_norm": 1.5309272927343993, + "learning_rate": 1.2418930530485219e-06, + "loss": 0.7674, + "step": 35845 + }, + { + "epoch": 0.84, + "grad_norm": 1.423720679219886, + "learning_rate": 1.2415247931375996e-06, + "loss": 0.8046, + "step": 35846 + }, + { + "epoch": 0.84, + "grad_norm": 0.7984638967869957, + "learning_rate": 1.2411565842212902e-06, + "loss": 0.7199, + "step": 35847 + }, + { + "epoch": 0.84, + "grad_norm": 1.8341703916309955, + "learning_rate": 1.24078842630174e-06, + "loss": 0.9506, + "step": 35848 + }, + { + "epoch": 0.84, + "grad_norm": 1.6388433773605608, + "learning_rate": 1.240420319381096e-06, + "loss": 0.9692, + "step": 35849 + }, + { + "epoch": 0.84, + "grad_norm": 1.5899752313112057, + "learning_rate": 1.2400522634614953e-06, + "loss": 0.7833, + "step": 35850 + }, + { + "epoch": 0.84, + "grad_norm": 0.7445170676558295, + "learning_rate": 1.2396842585450852e-06, + "loss": 0.7262, + "step": 35851 + }, + { + "epoch": 0.84, + "grad_norm": 1.6424138224440963, + "learning_rate": 1.2393163046340073e-06, + "loss": 0.7105, + "step": 35852 + }, + { + "epoch": 0.84, + "grad_norm": 1.5988779319551074, + "learning_rate": 1.238948401730402e-06, + "loss": 0.8138, + "step": 35853 + }, + { + "epoch": 0.84, + "grad_norm": 1.579406687090863, + "learning_rate": 1.2385805498364124e-06, + "loss": 0.8968, + "step": 35854 + }, + { + "epoch": 0.84, + "grad_norm": 1.7137563252525772, + "learning_rate": 1.238212748954183e-06, + "loss": 0.8669, + "step": 35855 + }, + { + "epoch": 0.84, + "grad_norm": 0.768568122171053, + "learning_rate": 1.2378449990858522e-06, + "loss": 0.7164, + "step": 35856 + }, + { + "epoch": 0.84, + "grad_norm": 1.6908205136899344, + "learning_rate": 1.2374773002335605e-06, + "loss": 0.7631, + "step": 35857 + }, + { + "epoch": 0.84, + "grad_norm": 1.9765919303693749, + "learning_rate": 1.2371096523994498e-06, + "loss": 0.8654, + "step": 35858 + }, + { + "epoch": 0.84, + "grad_norm": 1.5332056502986569, + "learning_rate": 1.2367420555856646e-06, + "loss": 0.8025, + "step": 35859 + }, + { + "epoch": 0.84, + "grad_norm": 1.4549986069108318, + "learning_rate": 1.236374509794338e-06, + "loss": 0.7422, + "step": 35860 + }, + { + "epoch": 0.84, + "grad_norm": 1.452088648761995, + "learning_rate": 1.2360070150276137e-06, + "loss": 0.7443, + "step": 35861 + }, + { + "epoch": 0.84, + "grad_norm": 2.896955600822458, + "learning_rate": 1.2356395712876312e-06, + "loss": 0.7848, + "step": 35862 + }, + { + "epoch": 0.84, + "grad_norm": 0.8290316422503163, + "learning_rate": 1.235272178576531e-06, + "loss": 0.6739, + "step": 35863 + }, + { + "epoch": 0.84, + "grad_norm": 1.4913964907308201, + "learning_rate": 1.2349048368964522e-06, + "loss": 0.8911, + "step": 35864 + }, + { + "epoch": 0.84, + "grad_norm": 1.436748289061442, + "learning_rate": 1.234537546249529e-06, + "loss": 0.9417, + "step": 35865 + }, + { + "epoch": 0.84, + "grad_norm": 2.0277711609192535, + "learning_rate": 1.2341703066379073e-06, + "loss": 0.7348, + "step": 35866 + }, + { + "epoch": 0.84, + "grad_norm": 1.5513572841592873, + "learning_rate": 1.2338031180637179e-06, + "loss": 0.7869, + "step": 35867 + }, + { + "epoch": 0.85, + "grad_norm": 1.546161670015788, + "learning_rate": 1.233435980529104e-06, + "loss": 0.876, + "step": 35868 + }, + { + "epoch": 0.85, + "grad_norm": 2.2528922705479255, + "learning_rate": 1.2330688940362002e-06, + "loss": 0.8736, + "step": 35869 + }, + { + "epoch": 0.85, + "grad_norm": 1.4666692241541897, + "learning_rate": 1.2327018585871463e-06, + "loss": 0.844, + "step": 35870 + }, + { + "epoch": 0.85, + "grad_norm": 1.7135471806347184, + "learning_rate": 1.2323348741840756e-06, + "loss": 0.8117, + "step": 35871 + }, + { + "epoch": 0.85, + "grad_norm": 1.7162196380494108, + "learning_rate": 1.2319679408291296e-06, + "loss": 0.7265, + "step": 35872 + }, + { + "epoch": 0.85, + "grad_norm": 1.8683879600069058, + "learning_rate": 1.231601058524442e-06, + "loss": 0.7455, + "step": 35873 + }, + { + "epoch": 0.85, + "grad_norm": 1.5445424868056925, + "learning_rate": 1.2312342272721467e-06, + "loss": 0.7639, + "step": 35874 + }, + { + "epoch": 0.85, + "grad_norm": 1.5818754041403993, + "learning_rate": 1.2308674470743819e-06, + "loss": 0.8656, + "step": 35875 + }, + { + "epoch": 0.85, + "grad_norm": 1.901413575572964, + "learning_rate": 1.2305007179332851e-06, + "loss": 0.8537, + "step": 35876 + }, + { + "epoch": 0.85, + "grad_norm": 1.5610917652802818, + "learning_rate": 1.2301340398509899e-06, + "loss": 0.9158, + "step": 35877 + }, + { + "epoch": 0.85, + "grad_norm": 1.4267093136078544, + "learning_rate": 1.2297674128296288e-06, + "loss": 0.8007, + "step": 35878 + }, + { + "epoch": 0.85, + "grad_norm": 1.7089253763505325, + "learning_rate": 1.2294008368713385e-06, + "loss": 0.7042, + "step": 35879 + }, + { + "epoch": 0.85, + "grad_norm": 0.7763230558663969, + "learning_rate": 1.2290343119782545e-06, + "loss": 0.7142, + "step": 35880 + }, + { + "epoch": 0.85, + "grad_norm": 2.627927455857739, + "learning_rate": 1.2286678381525108e-06, + "loss": 0.7525, + "step": 35881 + }, + { + "epoch": 0.85, + "grad_norm": 1.6022635695977667, + "learning_rate": 1.2283014153962368e-06, + "loss": 0.769, + "step": 35882 + }, + { + "epoch": 0.85, + "grad_norm": 1.4791874977836652, + "learning_rate": 1.227935043711569e-06, + "loss": 0.8198, + "step": 35883 + }, + { + "epoch": 0.85, + "grad_norm": 1.3257742385364149, + "learning_rate": 1.2275687231006428e-06, + "loss": 0.7922, + "step": 35884 + }, + { + "epoch": 0.85, + "grad_norm": 1.7556582593831223, + "learning_rate": 1.227202453565589e-06, + "loss": 0.8772, + "step": 35885 + }, + { + "epoch": 0.85, + "grad_norm": 1.4406936474976837, + "learning_rate": 1.2268362351085383e-06, + "loss": 0.8848, + "step": 35886 + }, + { + "epoch": 0.85, + "grad_norm": 1.4944387590960262, + "learning_rate": 1.2264700677316266e-06, + "loss": 0.7997, + "step": 35887 + }, + { + "epoch": 0.85, + "grad_norm": 1.5188783453272336, + "learning_rate": 1.226103951436981e-06, + "loss": 0.953, + "step": 35888 + }, + { + "epoch": 0.85, + "grad_norm": 1.4254143533511454, + "learning_rate": 1.2257378862267388e-06, + "loss": 0.7805, + "step": 35889 + }, + { + "epoch": 0.85, + "grad_norm": 1.8730366381695123, + "learning_rate": 1.225371872103026e-06, + "loss": 0.8843, + "step": 35890 + }, + { + "epoch": 0.85, + "grad_norm": 1.5308249562797736, + "learning_rate": 1.2250059090679779e-06, + "loss": 0.8385, + "step": 35891 + }, + { + "epoch": 0.85, + "grad_norm": 1.5573311175311202, + "learning_rate": 1.2246399971237221e-06, + "loss": 0.8731, + "step": 35892 + }, + { + "epoch": 0.85, + "grad_norm": 2.0455762374729516, + "learning_rate": 1.224274136272392e-06, + "loss": 0.7988, + "step": 35893 + }, + { + "epoch": 0.85, + "grad_norm": 1.6828616559202494, + "learning_rate": 1.2239083265161166e-06, + "loss": 0.837, + "step": 35894 + }, + { + "epoch": 0.85, + "grad_norm": 1.6185573067929595, + "learning_rate": 1.2235425678570234e-06, + "loss": 0.7634, + "step": 35895 + }, + { + "epoch": 0.85, + "grad_norm": 1.7386117797403666, + "learning_rate": 1.2231768602972439e-06, + "loss": 0.8506, + "step": 35896 + }, + { + "epoch": 0.85, + "grad_norm": 1.7957437513560992, + "learning_rate": 1.2228112038389085e-06, + "loss": 0.7954, + "step": 35897 + }, + { + "epoch": 0.85, + "grad_norm": 2.9497848268754305, + "learning_rate": 1.2224455984841466e-06, + "loss": 0.8336, + "step": 35898 + }, + { + "epoch": 0.85, + "grad_norm": 1.6633463249962634, + "learning_rate": 1.2220800442350823e-06, + "loss": 0.8079, + "step": 35899 + }, + { + "epoch": 0.85, + "grad_norm": 1.742425222369663, + "learning_rate": 1.2217145410938468e-06, + "loss": 0.8365, + "step": 35900 + }, + { + "epoch": 0.85, + "grad_norm": 1.5673060158643004, + "learning_rate": 1.2213490890625711e-06, + "loss": 0.7843, + "step": 35901 + }, + { + "epoch": 0.85, + "grad_norm": 1.5174509927098878, + "learning_rate": 1.2209836881433802e-06, + "loss": 0.7999, + "step": 35902 + }, + { + "epoch": 0.85, + "grad_norm": 0.802273708219121, + "learning_rate": 1.2206183383383997e-06, + "loss": 0.7163, + "step": 35903 + }, + { + "epoch": 0.85, + "grad_norm": 1.4853671225225609, + "learning_rate": 1.2202530396497592e-06, + "loss": 0.7917, + "step": 35904 + }, + { + "epoch": 0.85, + "grad_norm": 1.7870719300253086, + "learning_rate": 1.2198877920795859e-06, + "loss": 0.8024, + "step": 35905 + }, + { + "epoch": 0.85, + "grad_norm": 1.5088690823720536, + "learning_rate": 1.2195225956300073e-06, + "loss": 0.815, + "step": 35906 + }, + { + "epoch": 0.85, + "grad_norm": 1.5014846981875822, + "learning_rate": 1.2191574503031445e-06, + "loss": 0.7228, + "step": 35907 + }, + { + "epoch": 0.85, + "grad_norm": 2.0575372753560033, + "learning_rate": 1.2187923561011295e-06, + "loss": 0.7572, + "step": 35908 + }, + { + "epoch": 0.85, + "grad_norm": 1.7162425382723785, + "learning_rate": 1.2184273130260837e-06, + "loss": 0.6926, + "step": 35909 + }, + { + "epoch": 0.85, + "grad_norm": 1.6654906030836587, + "learning_rate": 1.2180623210801357e-06, + "loss": 1.0042, + "step": 35910 + }, + { + "epoch": 0.85, + "grad_norm": 1.7805265456878328, + "learning_rate": 1.2176973802654068e-06, + "loss": 0.8462, + "step": 35911 + }, + { + "epoch": 0.85, + "grad_norm": 1.5205005674750018, + "learning_rate": 1.2173324905840278e-06, + "loss": 0.8021, + "step": 35912 + }, + { + "epoch": 0.85, + "grad_norm": 1.6727801070788435, + "learning_rate": 1.2169676520381168e-06, + "loss": 0.7717, + "step": 35913 + }, + { + "epoch": 0.85, + "grad_norm": 1.472367141090244, + "learning_rate": 1.2166028646298022e-06, + "loss": 0.7763, + "step": 35914 + }, + { + "epoch": 0.85, + "grad_norm": 2.1453979854315786, + "learning_rate": 1.2162381283612067e-06, + "loss": 0.8956, + "step": 35915 + }, + { + "epoch": 0.85, + "grad_norm": 1.930337350948767, + "learning_rate": 1.2158734432344521e-06, + "loss": 0.8705, + "step": 35916 + }, + { + "epoch": 0.85, + "grad_norm": 0.7078284144746467, + "learning_rate": 1.2155088092516632e-06, + "loss": 0.7256, + "step": 35917 + }, + { + "epoch": 0.85, + "grad_norm": 1.751296052261681, + "learning_rate": 1.215144226414965e-06, + "loss": 0.8041, + "step": 35918 + }, + { + "epoch": 0.85, + "grad_norm": 1.7691544982089724, + "learning_rate": 1.214779694726479e-06, + "loss": 0.9269, + "step": 35919 + }, + { + "epoch": 0.85, + "grad_norm": 1.3915664826957506, + "learning_rate": 1.2144152141883247e-06, + "loss": 0.7984, + "step": 35920 + }, + { + "epoch": 0.85, + "grad_norm": 1.7084704038357144, + "learning_rate": 1.2140507848026261e-06, + "loss": 0.8334, + "step": 35921 + }, + { + "epoch": 0.85, + "grad_norm": 1.6276342728949702, + "learning_rate": 1.213686406571507e-06, + "loss": 0.8497, + "step": 35922 + }, + { + "epoch": 0.85, + "grad_norm": 1.624404000287472, + "learning_rate": 1.2133220794970879e-06, + "loss": 0.8283, + "step": 35923 + }, + { + "epoch": 0.85, + "grad_norm": 1.5863732965199373, + "learning_rate": 1.2129578035814881e-06, + "loss": 0.7996, + "step": 35924 + }, + { + "epoch": 0.85, + "grad_norm": 1.669715345937702, + "learning_rate": 1.2125935788268296e-06, + "loss": 0.8629, + "step": 35925 + }, + { + "epoch": 0.85, + "grad_norm": 0.7317951036103324, + "learning_rate": 1.2122294052352347e-06, + "loss": 0.7027, + "step": 35926 + }, + { + "epoch": 0.85, + "grad_norm": 1.5209673064241604, + "learning_rate": 1.211865282808823e-06, + "loss": 0.8674, + "step": 35927 + }, + { + "epoch": 0.85, + "grad_norm": 1.5600791132462495, + "learning_rate": 1.2115012115497115e-06, + "loss": 0.9572, + "step": 35928 + }, + { + "epoch": 0.85, + "grad_norm": 1.448625751858975, + "learning_rate": 1.2111371914600245e-06, + "loss": 0.8738, + "step": 35929 + }, + { + "epoch": 0.85, + "grad_norm": 1.733985105300419, + "learning_rate": 1.2107732225418766e-06, + "loss": 0.779, + "step": 35930 + }, + { + "epoch": 0.85, + "grad_norm": 1.4825056839862816, + "learning_rate": 1.210409304797392e-06, + "loss": 0.8145, + "step": 35931 + }, + { + "epoch": 0.85, + "grad_norm": 0.7643810716322981, + "learning_rate": 1.2100454382286853e-06, + "loss": 0.7284, + "step": 35932 + }, + { + "epoch": 0.85, + "grad_norm": 1.500725232918982, + "learning_rate": 1.2096816228378794e-06, + "loss": 0.7816, + "step": 35933 + }, + { + "epoch": 0.85, + "grad_norm": 1.6216330898919464, + "learning_rate": 1.209317858627087e-06, + "loss": 0.8328, + "step": 35934 + }, + { + "epoch": 0.85, + "grad_norm": 1.56320762003941, + "learning_rate": 1.2089541455984321e-06, + "loss": 0.7879, + "step": 35935 + }, + { + "epoch": 0.85, + "grad_norm": 1.5710461750077391, + "learning_rate": 1.2085904837540275e-06, + "loss": 0.7311, + "step": 35936 + }, + { + "epoch": 0.85, + "grad_norm": 1.7030260884830326, + "learning_rate": 1.2082268730959935e-06, + "loss": 0.8418, + "step": 35937 + }, + { + "epoch": 0.85, + "grad_norm": 1.4374317449064673, + "learning_rate": 1.207863313626445e-06, + "loss": 0.8831, + "step": 35938 + }, + { + "epoch": 0.85, + "grad_norm": 1.9131375391982075, + "learning_rate": 1.2074998053474984e-06, + "loss": 0.8466, + "step": 35939 + }, + { + "epoch": 0.85, + "grad_norm": 1.6074248628520487, + "learning_rate": 1.2071363482612775e-06, + "loss": 0.7918, + "step": 35940 + }, + { + "epoch": 0.85, + "grad_norm": 0.756060720319017, + "learning_rate": 1.2067729423698871e-06, + "loss": 0.7336, + "step": 35941 + }, + { + "epoch": 0.85, + "grad_norm": 1.5237412719521453, + "learning_rate": 1.206409587675449e-06, + "loss": 0.8921, + "step": 35942 + }, + { + "epoch": 0.85, + "grad_norm": 1.5490488823537933, + "learning_rate": 1.2060462841800779e-06, + "loss": 0.7903, + "step": 35943 + }, + { + "epoch": 0.85, + "grad_norm": 1.673761873386997, + "learning_rate": 1.2056830318858947e-06, + "loss": 0.711, + "step": 35944 + }, + { + "epoch": 0.85, + "grad_norm": 1.8623118514206736, + "learning_rate": 1.2053198307950042e-06, + "loss": 0.8327, + "step": 35945 + }, + { + "epoch": 0.85, + "grad_norm": 1.6223468110292651, + "learning_rate": 1.2049566809095259e-06, + "loss": 0.7302, + "step": 35946 + }, + { + "epoch": 0.85, + "grad_norm": 1.9705546492578754, + "learning_rate": 1.2045935822315768e-06, + "loss": 0.7353, + "step": 35947 + }, + { + "epoch": 0.85, + "grad_norm": 1.7267531039868782, + "learning_rate": 1.2042305347632655e-06, + "loss": 0.7133, + "step": 35948 + }, + { + "epoch": 0.85, + "grad_norm": 1.6033102558426786, + "learning_rate": 1.2038675385067112e-06, + "loss": 0.866, + "step": 35949 + }, + { + "epoch": 0.85, + "grad_norm": 0.7483924842821242, + "learning_rate": 1.2035045934640233e-06, + "loss": 0.7373, + "step": 35950 + }, + { + "epoch": 0.85, + "grad_norm": 1.5354913850480212, + "learning_rate": 1.2031416996373179e-06, + "loss": 0.8256, + "step": 35951 + }, + { + "epoch": 0.85, + "grad_norm": 1.445080047235658, + "learning_rate": 1.2027788570287047e-06, + "loss": 0.9922, + "step": 35952 + }, + { + "epoch": 0.85, + "grad_norm": 1.5434342827745182, + "learning_rate": 1.2024160656403006e-06, + "loss": 0.8692, + "step": 35953 + }, + { + "epoch": 0.85, + "grad_norm": 1.7779294544925095, + "learning_rate": 1.202053325474215e-06, + "loss": 0.8737, + "step": 35954 + }, + { + "epoch": 0.85, + "grad_norm": 1.715480804031948, + "learning_rate": 1.2016906365325586e-06, + "loss": 0.7491, + "step": 35955 + }, + { + "epoch": 0.85, + "grad_norm": 1.4617711403181795, + "learning_rate": 1.2013279988174454e-06, + "loss": 0.8134, + "step": 35956 + }, + { + "epoch": 0.85, + "grad_norm": 1.578638893414353, + "learning_rate": 1.2009654123309878e-06, + "loss": 0.9183, + "step": 35957 + }, + { + "epoch": 0.85, + "grad_norm": 2.1039328765515553, + "learning_rate": 1.2006028770752942e-06, + "loss": 0.8022, + "step": 35958 + }, + { + "epoch": 0.85, + "grad_norm": 1.6567145313253513, + "learning_rate": 1.2002403930524752e-06, + "loss": 0.8135, + "step": 35959 + }, + { + "epoch": 0.85, + "grad_norm": 3.713801717372318, + "learning_rate": 1.1998779602646438e-06, + "loss": 0.8542, + "step": 35960 + }, + { + "epoch": 0.85, + "grad_norm": 0.7646953787514564, + "learning_rate": 1.199515578713909e-06, + "loss": 0.7015, + "step": 35961 + }, + { + "epoch": 0.85, + "grad_norm": 1.6549040417008503, + "learning_rate": 1.1991532484023816e-06, + "loss": 0.7445, + "step": 35962 + }, + { + "epoch": 0.85, + "grad_norm": 1.442769899264862, + "learning_rate": 1.1987909693321687e-06, + "loss": 0.8692, + "step": 35963 + }, + { + "epoch": 0.85, + "grad_norm": 1.678246109846165, + "learning_rate": 1.1984287415053807e-06, + "loss": 0.8415, + "step": 35964 + }, + { + "epoch": 0.85, + "grad_norm": 1.721987908948511, + "learning_rate": 1.1980665649241297e-06, + "loss": 0.927, + "step": 35965 + }, + { + "epoch": 0.85, + "grad_norm": 1.6731206858691692, + "learning_rate": 1.1977044395905214e-06, + "loss": 0.9868, + "step": 35966 + }, + { + "epoch": 0.85, + "grad_norm": 1.626127548965105, + "learning_rate": 1.1973423655066619e-06, + "loss": 0.7754, + "step": 35967 + }, + { + "epoch": 0.85, + "grad_norm": 0.7175803432027326, + "learning_rate": 1.1969803426746651e-06, + "loss": 0.7195, + "step": 35968 + }, + { + "epoch": 0.85, + "grad_norm": 1.789399540554973, + "learning_rate": 1.1966183710966329e-06, + "loss": 0.9349, + "step": 35969 + }, + { + "epoch": 0.85, + "grad_norm": 1.6866414534321343, + "learning_rate": 1.1962564507746776e-06, + "loss": 0.9258, + "step": 35970 + }, + { + "epoch": 0.85, + "grad_norm": 1.5259489776543964, + "learning_rate": 1.1958945817109035e-06, + "loss": 0.7654, + "step": 35971 + }, + { + "epoch": 0.85, + "grad_norm": 1.4845391807766142, + "learning_rate": 1.1955327639074198e-06, + "loss": 0.7841, + "step": 35972 + }, + { + "epoch": 0.85, + "grad_norm": 1.9624845123642058, + "learning_rate": 1.1951709973663294e-06, + "loss": 0.8179, + "step": 35973 + }, + { + "epoch": 0.85, + "grad_norm": 1.656755504583977, + "learning_rate": 1.194809282089744e-06, + "loss": 0.9028, + "step": 35974 + }, + { + "epoch": 0.85, + "grad_norm": 1.5079331437955459, + "learning_rate": 1.194447618079766e-06, + "loss": 0.9098, + "step": 35975 + }, + { + "epoch": 0.85, + "grad_norm": 1.7549741474748286, + "learning_rate": 1.1940860053384994e-06, + "loss": 0.8405, + "step": 35976 + }, + { + "epoch": 0.85, + "grad_norm": 1.5365721323283328, + "learning_rate": 1.1937244438680529e-06, + "loss": 0.8343, + "step": 35977 + }, + { + "epoch": 0.85, + "grad_norm": 1.6763569900948267, + "learning_rate": 1.1933629336705322e-06, + "loss": 0.7329, + "step": 35978 + }, + { + "epoch": 0.85, + "grad_norm": 1.5921069763908802, + "learning_rate": 1.19300147474804e-06, + "loss": 0.7522, + "step": 35979 + }, + { + "epoch": 0.85, + "grad_norm": 1.70653585920572, + "learning_rate": 1.1926400671026805e-06, + "loss": 0.7268, + "step": 35980 + }, + { + "epoch": 0.85, + "grad_norm": 1.4969415947796783, + "learning_rate": 1.1922787107365585e-06, + "loss": 0.6981, + "step": 35981 + }, + { + "epoch": 0.85, + "grad_norm": 1.6583774496816657, + "learning_rate": 1.19191740565178e-06, + "loss": 0.8287, + "step": 35982 + }, + { + "epoch": 0.85, + "grad_norm": 1.4971615238990597, + "learning_rate": 1.1915561518504482e-06, + "loss": 0.8252, + "step": 35983 + }, + { + "epoch": 0.85, + "grad_norm": 1.58462506183592, + "learning_rate": 1.191194949334662e-06, + "loss": 0.8366, + "step": 35984 + }, + { + "epoch": 0.85, + "grad_norm": 1.6727246449044024, + "learning_rate": 1.1908337981065276e-06, + "loss": 0.9051, + "step": 35985 + }, + { + "epoch": 0.85, + "grad_norm": 1.4294495211280325, + "learning_rate": 1.1904726981681502e-06, + "loss": 0.8908, + "step": 35986 + }, + { + "epoch": 0.85, + "grad_norm": 1.7770488613098847, + "learning_rate": 1.1901116495216303e-06, + "loss": 0.8239, + "step": 35987 + }, + { + "epoch": 0.85, + "grad_norm": 1.6102347636857717, + "learning_rate": 1.189750652169066e-06, + "loss": 0.7881, + "step": 35988 + }, + { + "epoch": 0.85, + "grad_norm": 1.5075835890135836, + "learning_rate": 1.189389706112566e-06, + "loss": 0.8894, + "step": 35989 + }, + { + "epoch": 0.85, + "grad_norm": 3.8348931337105494, + "learning_rate": 1.189028811354226e-06, + "loss": 0.8854, + "step": 35990 + }, + { + "epoch": 0.85, + "grad_norm": 1.702712978988661, + "learning_rate": 1.188667967896152e-06, + "loss": 0.8131, + "step": 35991 + }, + { + "epoch": 0.85, + "grad_norm": 1.976449525178539, + "learning_rate": 1.1883071757404408e-06, + "loss": 0.9375, + "step": 35992 + }, + { + "epoch": 0.85, + "grad_norm": 1.5537092821496326, + "learning_rate": 1.1879464348891967e-06, + "loss": 0.6888, + "step": 35993 + }, + { + "epoch": 0.85, + "grad_norm": 1.417238672223317, + "learning_rate": 1.1875857453445162e-06, + "loss": 0.8753, + "step": 35994 + }, + { + "epoch": 0.85, + "grad_norm": 1.4844170419329517, + "learning_rate": 1.1872251071085038e-06, + "loss": 0.7296, + "step": 35995 + }, + { + "epoch": 0.85, + "grad_norm": 1.4906061444519796, + "learning_rate": 1.1868645201832563e-06, + "loss": 0.7434, + "step": 35996 + }, + { + "epoch": 0.85, + "grad_norm": 1.7868233109615874, + "learning_rate": 1.1865039845708725e-06, + "loss": 0.7685, + "step": 35997 + }, + { + "epoch": 0.85, + "grad_norm": 2.2057332829663965, + "learning_rate": 1.1861435002734523e-06, + "loss": 0.8949, + "step": 35998 + }, + { + "epoch": 0.85, + "grad_norm": 1.4409737810464136, + "learning_rate": 1.1857830672930982e-06, + "loss": 0.872, + "step": 35999 + }, + { + "epoch": 0.85, + "grad_norm": 1.419738103176738, + "learning_rate": 1.185422685631904e-06, + "loss": 0.8675, + "step": 36000 + }, + { + "epoch": 0.85, + "grad_norm": 0.7566647040948227, + "learning_rate": 1.1850623552919683e-06, + "loss": 0.7615, + "step": 36001 + }, + { + "epoch": 0.85, + "grad_norm": 1.532866181434204, + "learning_rate": 1.1847020762753903e-06, + "loss": 0.86, + "step": 36002 + }, + { + "epoch": 0.85, + "grad_norm": 1.7263166807839798, + "learning_rate": 1.1843418485842696e-06, + "loss": 0.8879, + "step": 36003 + }, + { + "epoch": 0.85, + "grad_norm": 1.6523572780501183, + "learning_rate": 1.183981672220702e-06, + "loss": 0.8493, + "step": 36004 + }, + { + "epoch": 0.85, + "grad_norm": 3.119056014891217, + "learning_rate": 1.1836215471867819e-06, + "loss": 0.7623, + "step": 36005 + }, + { + "epoch": 0.85, + "grad_norm": 1.588735831091023, + "learning_rate": 1.1832614734846082e-06, + "loss": 0.8961, + "step": 36006 + }, + { + "epoch": 0.85, + "grad_norm": 1.768540543369847, + "learning_rate": 1.1829014511162794e-06, + "loss": 0.8764, + "step": 36007 + }, + { + "epoch": 0.85, + "grad_norm": 1.727114185542334, + "learning_rate": 1.1825414800838908e-06, + "loss": 0.6907, + "step": 36008 + }, + { + "epoch": 0.85, + "grad_norm": 0.7596073500803608, + "learning_rate": 1.1821815603895336e-06, + "loss": 0.6701, + "step": 36009 + }, + { + "epoch": 0.85, + "grad_norm": 1.6577702633101212, + "learning_rate": 1.1818216920353109e-06, + "loss": 0.8949, + "step": 36010 + }, + { + "epoch": 0.85, + "grad_norm": 1.4847021029147913, + "learning_rate": 1.181461875023311e-06, + "loss": 0.7505, + "step": 36011 + }, + { + "epoch": 0.85, + "grad_norm": 1.6301865701770295, + "learning_rate": 1.1811021093556341e-06, + "loss": 0.8243, + "step": 36012 + }, + { + "epoch": 0.85, + "grad_norm": 1.681653522641092, + "learning_rate": 1.180742395034371e-06, + "loss": 0.8706, + "step": 36013 + }, + { + "epoch": 0.85, + "grad_norm": 1.8013098169471513, + "learning_rate": 1.180382732061619e-06, + "loss": 0.8831, + "step": 36014 + }, + { + "epoch": 0.85, + "grad_norm": 0.7990412981629184, + "learning_rate": 1.1800231204394696e-06, + "loss": 0.6941, + "step": 36015 + }, + { + "epoch": 0.85, + "grad_norm": 1.8509512400157913, + "learning_rate": 1.1796635601700201e-06, + "loss": 0.9081, + "step": 36016 + }, + { + "epoch": 0.85, + "grad_norm": 1.694965578209171, + "learning_rate": 1.1793040512553623e-06, + "loss": 0.8954, + "step": 36017 + }, + { + "epoch": 0.85, + "grad_norm": 1.5899654451761518, + "learning_rate": 1.1789445936975862e-06, + "loss": 0.9084, + "step": 36018 + }, + { + "epoch": 0.85, + "grad_norm": 2.148521297917602, + "learning_rate": 1.1785851874987874e-06, + "loss": 0.9195, + "step": 36019 + }, + { + "epoch": 0.85, + "grad_norm": 2.2420040367443335, + "learning_rate": 1.1782258326610606e-06, + "loss": 0.868, + "step": 36020 + }, + { + "epoch": 0.85, + "grad_norm": 1.582341112186919, + "learning_rate": 1.1778665291864955e-06, + "loss": 0.8341, + "step": 36021 + }, + { + "epoch": 0.85, + "grad_norm": 1.6166287659829373, + "learning_rate": 1.1775072770771833e-06, + "loss": 0.883, + "step": 36022 + }, + { + "epoch": 0.85, + "grad_norm": 1.4729627706775825, + "learning_rate": 1.177148076335216e-06, + "loss": 0.7425, + "step": 36023 + }, + { + "epoch": 0.85, + "grad_norm": 2.1720693737606758, + "learning_rate": 1.1767889269626887e-06, + "loss": 0.8274, + "step": 36024 + }, + { + "epoch": 0.85, + "grad_norm": 1.4248658170636723, + "learning_rate": 1.1764298289616893e-06, + "loss": 0.7496, + "step": 36025 + }, + { + "epoch": 0.85, + "grad_norm": 0.8117198423282409, + "learning_rate": 1.1760707823343065e-06, + "loss": 0.703, + "step": 36026 + }, + { + "epoch": 0.85, + "grad_norm": 1.5430541544151364, + "learning_rate": 1.1757117870826328e-06, + "loss": 0.892, + "step": 36027 + }, + { + "epoch": 0.85, + "grad_norm": 1.423343136662556, + "learning_rate": 1.1753528432087624e-06, + "loss": 0.818, + "step": 36028 + }, + { + "epoch": 0.85, + "grad_norm": 1.6679716298824716, + "learning_rate": 1.174993950714781e-06, + "loss": 0.8137, + "step": 36029 + }, + { + "epoch": 0.85, + "grad_norm": 1.6627645790719316, + "learning_rate": 1.1746351096027763e-06, + "loss": 0.7502, + "step": 36030 + }, + { + "epoch": 0.85, + "grad_norm": 1.6439166462710766, + "learning_rate": 1.174276319874842e-06, + "loss": 0.8214, + "step": 36031 + }, + { + "epoch": 0.85, + "grad_norm": 1.5489754935925455, + "learning_rate": 1.173917581533064e-06, + "loss": 0.8052, + "step": 36032 + }, + { + "epoch": 0.85, + "grad_norm": 1.4983083589514137, + "learning_rate": 1.1735588945795307e-06, + "loss": 0.7995, + "step": 36033 + }, + { + "epoch": 0.85, + "grad_norm": 0.7651242215280724, + "learning_rate": 1.1732002590163349e-06, + "loss": 0.7069, + "step": 36034 + }, + { + "epoch": 0.85, + "grad_norm": 1.6963269785227038, + "learning_rate": 1.1728416748455619e-06, + "loss": 0.9347, + "step": 36035 + }, + { + "epoch": 0.85, + "grad_norm": 0.7501490479662749, + "learning_rate": 1.1724831420692973e-06, + "loss": 0.7296, + "step": 36036 + }, + { + "epoch": 0.85, + "grad_norm": 1.709840391894655, + "learning_rate": 1.1721246606896297e-06, + "loss": 0.7082, + "step": 36037 + }, + { + "epoch": 0.85, + "grad_norm": 1.5281642458033853, + "learning_rate": 1.171766230708652e-06, + "loss": 0.8764, + "step": 36038 + }, + { + "epoch": 0.85, + "grad_norm": 1.6037899153653115, + "learning_rate": 1.1714078521284422e-06, + "loss": 0.8987, + "step": 36039 + }, + { + "epoch": 0.85, + "grad_norm": 1.8243466597157634, + "learning_rate": 1.1710495249510911e-06, + "loss": 0.8643, + "step": 36040 + }, + { + "epoch": 0.85, + "grad_norm": 1.6337827932407947, + "learning_rate": 1.1706912491786837e-06, + "loss": 0.8953, + "step": 36041 + }, + { + "epoch": 0.85, + "grad_norm": 1.5018490897441974, + "learning_rate": 1.1703330248133128e-06, + "loss": 0.9353, + "step": 36042 + }, + { + "epoch": 0.85, + "grad_norm": 1.6090806263718525, + "learning_rate": 1.169974851857053e-06, + "loss": 0.7581, + "step": 36043 + }, + { + "epoch": 0.85, + "grad_norm": 1.9705760996865598, + "learning_rate": 1.1696167303119964e-06, + "loss": 0.824, + "step": 36044 + }, + { + "epoch": 0.85, + "grad_norm": 1.651268921455138, + "learning_rate": 1.169258660180228e-06, + "loss": 0.9008, + "step": 36045 + }, + { + "epoch": 0.85, + "grad_norm": 2.251840011179552, + "learning_rate": 1.1689006414638294e-06, + "loss": 0.7271, + "step": 36046 + }, + { + "epoch": 0.85, + "grad_norm": 1.618204787913225, + "learning_rate": 1.1685426741648897e-06, + "loss": 0.7856, + "step": 36047 + }, + { + "epoch": 0.85, + "grad_norm": 1.4631752698268885, + "learning_rate": 1.168184758285489e-06, + "loss": 0.7023, + "step": 36048 + }, + { + "epoch": 0.85, + "grad_norm": 1.6443611937572513, + "learning_rate": 1.1678268938277137e-06, + "loss": 0.6627, + "step": 36049 + }, + { + "epoch": 0.85, + "grad_norm": 1.6617388519960308, + "learning_rate": 1.167469080793645e-06, + "loss": 0.9009, + "step": 36050 + }, + { + "epoch": 0.85, + "grad_norm": 1.4784958557512067, + "learning_rate": 1.1671113191853688e-06, + "loss": 0.8349, + "step": 36051 + }, + { + "epoch": 0.85, + "grad_norm": 1.5380298277293407, + "learning_rate": 1.166753609004968e-06, + "loss": 0.8087, + "step": 36052 + }, + { + "epoch": 0.85, + "grad_norm": 1.6739543175686558, + "learning_rate": 1.1663959502545218e-06, + "loss": 0.8594, + "step": 36053 + }, + { + "epoch": 0.85, + "grad_norm": 0.7823072393095512, + "learning_rate": 1.1660383429361155e-06, + "loss": 0.7229, + "step": 36054 + }, + { + "epoch": 0.85, + "grad_norm": 1.4719964573955553, + "learning_rate": 1.1656807870518316e-06, + "loss": 0.7451, + "step": 36055 + }, + { + "epoch": 0.85, + "grad_norm": 1.4651098671227787, + "learning_rate": 1.165323282603752e-06, + "loss": 0.8397, + "step": 36056 + }, + { + "epoch": 0.85, + "grad_norm": 1.5773415224010345, + "learning_rate": 1.1649658295939548e-06, + "loss": 0.878, + "step": 36057 + }, + { + "epoch": 0.85, + "grad_norm": 2.2600743591511137, + "learning_rate": 1.164608428024524e-06, + "loss": 0.6644, + "step": 36058 + }, + { + "epoch": 0.85, + "grad_norm": 1.6221570265432887, + "learning_rate": 1.1642510778975425e-06, + "loss": 0.9346, + "step": 36059 + }, + { + "epoch": 0.85, + "grad_norm": 1.6910241235793526, + "learning_rate": 1.1638937792150883e-06, + "loss": 0.9536, + "step": 36060 + }, + { + "epoch": 0.85, + "grad_norm": 1.5241524622254907, + "learning_rate": 1.1635365319792402e-06, + "loss": 0.7783, + "step": 36061 + }, + { + "epoch": 0.85, + "grad_norm": 1.5319135651939146, + "learning_rate": 1.1631793361920795e-06, + "loss": 0.8713, + "step": 36062 + }, + { + "epoch": 0.85, + "grad_norm": 1.6702982766932644, + "learning_rate": 1.1628221918556882e-06, + "loss": 0.7941, + "step": 36063 + }, + { + "epoch": 0.85, + "grad_norm": 1.9873593192974002, + "learning_rate": 1.1624650989721443e-06, + "loss": 0.824, + "step": 36064 + }, + { + "epoch": 0.85, + "grad_norm": 1.6401994812755825, + "learning_rate": 1.162108057543524e-06, + "loss": 0.8612, + "step": 36065 + }, + { + "epoch": 0.85, + "grad_norm": 1.9687761911001096, + "learning_rate": 1.1617510675719091e-06, + "loss": 0.77, + "step": 36066 + }, + { + "epoch": 0.85, + "grad_norm": 1.795893303163469, + "learning_rate": 1.16139412905938e-06, + "loss": 0.7634, + "step": 36067 + }, + { + "epoch": 0.85, + "grad_norm": 1.6472974273971694, + "learning_rate": 1.1610372420080118e-06, + "loss": 0.9473, + "step": 36068 + }, + { + "epoch": 0.85, + "grad_norm": 1.5689323683211513, + "learning_rate": 1.1606804064198817e-06, + "loss": 0.7847, + "step": 36069 + }, + { + "epoch": 0.85, + "grad_norm": 1.6937008038331614, + "learning_rate": 1.1603236222970704e-06, + "loss": 0.8379, + "step": 36070 + }, + { + "epoch": 0.85, + "grad_norm": 0.7565199660022965, + "learning_rate": 1.1599668896416516e-06, + "loss": 0.6389, + "step": 36071 + }, + { + "epoch": 0.85, + "grad_norm": 0.767555234711981, + "learning_rate": 1.159610208455707e-06, + "loss": 0.7419, + "step": 36072 + }, + { + "epoch": 0.85, + "grad_norm": 1.813326156973262, + "learning_rate": 1.1592535787413074e-06, + "loss": 0.7283, + "step": 36073 + }, + { + "epoch": 0.85, + "grad_norm": 2.3662385439325027, + "learning_rate": 1.158897000500535e-06, + "loss": 0.8108, + "step": 36074 + }, + { + "epoch": 0.85, + "grad_norm": 1.7455238131451583, + "learning_rate": 1.158540473735461e-06, + "loss": 0.8155, + "step": 36075 + }, + { + "epoch": 0.85, + "grad_norm": 1.5941470527725272, + "learning_rate": 1.1581839984481657e-06, + "loss": 1.0075, + "step": 36076 + }, + { + "epoch": 0.85, + "grad_norm": 1.6507092781243113, + "learning_rate": 1.157827574640723e-06, + "loss": 0.8978, + "step": 36077 + }, + { + "epoch": 0.85, + "grad_norm": 1.4291034590815552, + "learning_rate": 1.1574712023152058e-06, + "loss": 0.806, + "step": 36078 + }, + { + "epoch": 0.85, + "grad_norm": 1.525642831545718, + "learning_rate": 1.1571148814736898e-06, + "loss": 0.8093, + "step": 36079 + }, + { + "epoch": 0.85, + "grad_norm": 1.759681517760132, + "learning_rate": 1.1567586121182529e-06, + "loss": 0.8067, + "step": 36080 + }, + { + "epoch": 0.85, + "grad_norm": 1.6515445343292745, + "learning_rate": 1.1564023942509662e-06, + "loss": 0.7068, + "step": 36081 + }, + { + "epoch": 0.85, + "grad_norm": 1.6507653278872045, + "learning_rate": 1.1560462278739037e-06, + "loss": 0.8768, + "step": 36082 + }, + { + "epoch": 0.85, + "grad_norm": 1.487981114710897, + "learning_rate": 1.1556901129891396e-06, + "loss": 0.7623, + "step": 36083 + }, + { + "epoch": 0.85, + "grad_norm": 1.5709319765814647, + "learning_rate": 1.1553340495987497e-06, + "loss": 0.9039, + "step": 36084 + }, + { + "epoch": 0.85, + "grad_norm": 1.59182379709336, + "learning_rate": 1.154978037704806e-06, + "loss": 0.8867, + "step": 36085 + }, + { + "epoch": 0.85, + "grad_norm": 1.9499649102382675, + "learning_rate": 1.1546220773093774e-06, + "loss": 0.8575, + "step": 36086 + }, + { + "epoch": 0.85, + "grad_norm": 1.7024345230542335, + "learning_rate": 1.1542661684145396e-06, + "loss": 0.8858, + "step": 36087 + }, + { + "epoch": 0.85, + "grad_norm": 1.4653976947123932, + "learning_rate": 1.153910311022367e-06, + "loss": 0.7099, + "step": 36088 + }, + { + "epoch": 0.85, + "grad_norm": 2.0994723049321995, + "learning_rate": 1.1535545051349284e-06, + "loss": 0.7974, + "step": 36089 + }, + { + "epoch": 0.85, + "grad_norm": 2.1455052415632045, + "learning_rate": 1.1531987507542953e-06, + "loss": 0.8832, + "step": 36090 + }, + { + "epoch": 0.85, + "grad_norm": 0.8445412439070713, + "learning_rate": 1.1528430478825414e-06, + "loss": 0.6873, + "step": 36091 + }, + { + "epoch": 0.85, + "grad_norm": 0.7329603191684032, + "learning_rate": 1.1524873965217342e-06, + "loss": 0.6594, + "step": 36092 + }, + { + "epoch": 0.85, + "grad_norm": 0.7560466479224087, + "learning_rate": 1.1521317966739486e-06, + "loss": 0.6592, + "step": 36093 + }, + { + "epoch": 0.85, + "grad_norm": 1.4560858146436426, + "learning_rate": 1.1517762483412509e-06, + "loss": 0.7412, + "step": 36094 + }, + { + "epoch": 0.85, + "grad_norm": 1.639957689081237, + "learning_rate": 1.1514207515257147e-06, + "loss": 0.8039, + "step": 36095 + }, + { + "epoch": 0.85, + "grad_norm": 1.8164879349189516, + "learning_rate": 1.1510653062294075e-06, + "loss": 0.8058, + "step": 36096 + }, + { + "epoch": 0.85, + "grad_norm": 1.6498139396496732, + "learning_rate": 1.1507099124544008e-06, + "loss": 0.8908, + "step": 36097 + }, + { + "epoch": 0.85, + "grad_norm": 1.852941877827986, + "learning_rate": 1.1503545702027619e-06, + "loss": 0.8511, + "step": 36098 + }, + { + "epoch": 0.85, + "grad_norm": 0.8739128010802839, + "learning_rate": 1.1499992794765592e-06, + "loss": 0.7492, + "step": 36099 + }, + { + "epoch": 0.85, + "grad_norm": 1.571349166485334, + "learning_rate": 1.149644040277863e-06, + "loss": 0.8302, + "step": 36100 + }, + { + "epoch": 0.85, + "grad_norm": 1.5355376524795055, + "learning_rate": 1.149288852608743e-06, + "loss": 0.8241, + "step": 36101 + }, + { + "epoch": 0.85, + "grad_norm": 1.5683874117573868, + "learning_rate": 1.1489337164712644e-06, + "loss": 0.8753, + "step": 36102 + }, + { + "epoch": 0.85, + "grad_norm": 1.7382686672632612, + "learning_rate": 1.1485786318674951e-06, + "loss": 0.8353, + "step": 36103 + }, + { + "epoch": 0.85, + "grad_norm": 1.6627408580054768, + "learning_rate": 1.1482235987995027e-06, + "loss": 0.7621, + "step": 36104 + }, + { + "epoch": 0.85, + "grad_norm": 1.7046299013909985, + "learning_rate": 1.1478686172693576e-06, + "loss": 0.9744, + "step": 36105 + }, + { + "epoch": 0.85, + "grad_norm": 1.5596210982455005, + "learning_rate": 1.1475136872791226e-06, + "loss": 0.842, + "step": 36106 + }, + { + "epoch": 0.85, + "grad_norm": 1.8791487080804519, + "learning_rate": 1.1471588088308649e-06, + "loss": 0.7126, + "step": 36107 + }, + { + "epoch": 0.85, + "grad_norm": 1.6093816134798111, + "learning_rate": 1.1468039819266508e-06, + "loss": 0.8887, + "step": 36108 + }, + { + "epoch": 0.85, + "grad_norm": 1.5099185684777001, + "learning_rate": 1.1464492065685483e-06, + "loss": 0.8316, + "step": 36109 + }, + { + "epoch": 0.85, + "grad_norm": 1.6212920084545581, + "learning_rate": 1.1460944827586228e-06, + "loss": 0.8253, + "step": 36110 + }, + { + "epoch": 0.85, + "grad_norm": 1.5622995167315048, + "learning_rate": 1.1457398104989347e-06, + "loss": 0.8841, + "step": 36111 + }, + { + "epoch": 0.85, + "grad_norm": 1.6710437164085492, + "learning_rate": 1.1453851897915557e-06, + "loss": 0.8806, + "step": 36112 + }, + { + "epoch": 0.85, + "grad_norm": 2.215604897068542, + "learning_rate": 1.1450306206385453e-06, + "loss": 0.8392, + "step": 36113 + }, + { + "epoch": 0.85, + "grad_norm": 0.7515377115622264, + "learning_rate": 1.1446761030419718e-06, + "loss": 0.7507, + "step": 36114 + }, + { + "epoch": 0.85, + "grad_norm": 1.5292442692280919, + "learning_rate": 1.1443216370038968e-06, + "loss": 0.7636, + "step": 36115 + }, + { + "epoch": 0.85, + "grad_norm": 1.629658118803454, + "learning_rate": 1.1439672225263853e-06, + "loss": 0.7884, + "step": 36116 + }, + { + "epoch": 0.85, + "grad_norm": 1.4735853472218632, + "learning_rate": 1.1436128596114992e-06, + "loss": 0.8704, + "step": 36117 + }, + { + "epoch": 0.85, + "grad_norm": 1.879045722325479, + "learning_rate": 1.1432585482613045e-06, + "loss": 0.9221, + "step": 36118 + }, + { + "epoch": 0.85, + "grad_norm": 1.5557730090911097, + "learning_rate": 1.142904288477863e-06, + "loss": 0.7346, + "step": 36119 + }, + { + "epoch": 0.85, + "grad_norm": 0.7760669059501586, + "learning_rate": 1.142550080263234e-06, + "loss": 0.7145, + "step": 36120 + }, + { + "epoch": 0.85, + "grad_norm": 1.5749252890359862, + "learning_rate": 1.1421959236194835e-06, + "loss": 0.8116, + "step": 36121 + }, + { + "epoch": 0.85, + "grad_norm": 1.913965644836988, + "learning_rate": 1.1418418185486725e-06, + "loss": 0.9302, + "step": 36122 + }, + { + "epoch": 0.85, + "grad_norm": 1.836920821800045, + "learning_rate": 1.1414877650528667e-06, + "loss": 0.9786, + "step": 36123 + }, + { + "epoch": 0.85, + "grad_norm": 1.5394420293111322, + "learning_rate": 1.1411337631341202e-06, + "loss": 0.7423, + "step": 36124 + }, + { + "epoch": 0.85, + "grad_norm": 1.541497309151508, + "learning_rate": 1.140779812794497e-06, + "loss": 0.8814, + "step": 36125 + }, + { + "epoch": 0.85, + "grad_norm": 1.5949281738000027, + "learning_rate": 1.1404259140360606e-06, + "loss": 0.8197, + "step": 36126 + }, + { + "epoch": 0.85, + "grad_norm": 1.5958546995440928, + "learning_rate": 1.140072066860869e-06, + "loss": 0.8406, + "step": 36127 + }, + { + "epoch": 0.85, + "grad_norm": 1.71390619374512, + "learning_rate": 1.139718271270982e-06, + "loss": 0.8836, + "step": 36128 + }, + { + "epoch": 0.85, + "grad_norm": 1.505466541095713, + "learning_rate": 1.1393645272684595e-06, + "loss": 0.9101, + "step": 36129 + }, + { + "epoch": 0.85, + "grad_norm": 1.5573269281190631, + "learning_rate": 1.139010834855364e-06, + "loss": 0.8701, + "step": 36130 + }, + { + "epoch": 0.85, + "grad_norm": 1.393732393829399, + "learning_rate": 1.138657194033751e-06, + "loss": 0.8138, + "step": 36131 + }, + { + "epoch": 0.85, + "grad_norm": 1.8636148351143624, + "learning_rate": 1.1383036048056828e-06, + "loss": 0.7964, + "step": 36132 + }, + { + "epoch": 0.85, + "grad_norm": 1.6227629942782118, + "learning_rate": 1.137950067173217e-06, + "loss": 0.8422, + "step": 36133 + }, + { + "epoch": 0.85, + "grad_norm": 1.9835497126629302, + "learning_rate": 1.1375965811384093e-06, + "loss": 0.9704, + "step": 36134 + }, + { + "epoch": 0.85, + "grad_norm": 1.464466033119904, + "learning_rate": 1.1372431467033208e-06, + "loss": 0.9358, + "step": 36135 + }, + { + "epoch": 0.85, + "grad_norm": 1.5118374971946937, + "learning_rate": 1.1368897638700105e-06, + "loss": 0.7382, + "step": 36136 + }, + { + "epoch": 0.85, + "grad_norm": 2.0682105297404814, + "learning_rate": 1.1365364326405325e-06, + "loss": 0.7758, + "step": 36137 + }, + { + "epoch": 0.85, + "grad_norm": 1.6222118974056292, + "learning_rate": 1.1361831530169453e-06, + "loss": 0.8227, + "step": 36138 + }, + { + "epoch": 0.85, + "grad_norm": 0.8157255195385092, + "learning_rate": 1.1358299250013049e-06, + "loss": 0.6797, + "step": 36139 + }, + { + "epoch": 0.85, + "grad_norm": 1.6778246985332648, + "learning_rate": 1.1354767485956741e-06, + "loss": 0.8704, + "step": 36140 + }, + { + "epoch": 0.85, + "grad_norm": 1.5712185663866725, + "learning_rate": 1.135123623802099e-06, + "loss": 0.7601, + "step": 36141 + }, + { + "epoch": 0.85, + "grad_norm": 1.6515233816103285, + "learning_rate": 1.1347705506226415e-06, + "loss": 0.68, + "step": 36142 + }, + { + "epoch": 0.85, + "grad_norm": 0.769115609019467, + "learning_rate": 1.1344175290593563e-06, + "loss": 0.6771, + "step": 36143 + }, + { + "epoch": 0.85, + "grad_norm": 0.8557169038022742, + "learning_rate": 1.1340645591143007e-06, + "loss": 0.7501, + "step": 36144 + }, + { + "epoch": 0.85, + "grad_norm": 2.064570584664468, + "learning_rate": 1.1337116407895289e-06, + "loss": 0.6951, + "step": 36145 + }, + { + "epoch": 0.85, + "grad_norm": 1.6144330684251396, + "learning_rate": 1.1333587740870921e-06, + "loss": 0.9172, + "step": 36146 + }, + { + "epoch": 0.85, + "grad_norm": 1.5727688913155518, + "learning_rate": 1.1330059590090502e-06, + "loss": 0.9292, + "step": 36147 + }, + { + "epoch": 0.85, + "grad_norm": 1.8039297953176356, + "learning_rate": 1.1326531955574526e-06, + "loss": 0.8145, + "step": 36148 + }, + { + "epoch": 0.85, + "grad_norm": 1.5901813559229934, + "learning_rate": 1.1323004837343576e-06, + "loss": 0.8825, + "step": 36149 + }, + { + "epoch": 0.85, + "grad_norm": 1.6430745810819751, + "learning_rate": 1.1319478235418146e-06, + "loss": 0.8576, + "step": 36150 + }, + { + "epoch": 0.85, + "grad_norm": 1.4245554579878446, + "learning_rate": 1.131595214981881e-06, + "loss": 0.7449, + "step": 36151 + }, + { + "epoch": 0.85, + "grad_norm": 0.7967110467305344, + "learning_rate": 1.131242658056606e-06, + "loss": 0.7209, + "step": 36152 + }, + { + "epoch": 0.85, + "grad_norm": 1.5976484445778207, + "learning_rate": 1.130890152768046e-06, + "loss": 0.696, + "step": 36153 + }, + { + "epoch": 0.85, + "grad_norm": 1.892979010002226, + "learning_rate": 1.1305376991182516e-06, + "loss": 0.8722, + "step": 36154 + }, + { + "epoch": 0.85, + "grad_norm": 1.6948434821198795, + "learning_rate": 1.130185297109272e-06, + "loss": 0.9063, + "step": 36155 + }, + { + "epoch": 0.85, + "grad_norm": 0.8212583799575709, + "learning_rate": 1.1298329467431624e-06, + "loss": 0.7463, + "step": 36156 + }, + { + "epoch": 0.85, + "grad_norm": 1.5463026607418904, + "learning_rate": 1.1294806480219744e-06, + "loss": 0.8534, + "step": 36157 + }, + { + "epoch": 0.85, + "grad_norm": 1.546171751372806, + "learning_rate": 1.1291284009477598e-06, + "loss": 0.7321, + "step": 36158 + }, + { + "epoch": 0.85, + "grad_norm": 2.0382420188379133, + "learning_rate": 1.128776205522566e-06, + "loss": 0.8107, + "step": 36159 + }, + { + "epoch": 0.85, + "grad_norm": 1.6176225398247654, + "learning_rate": 1.1284240617484455e-06, + "loss": 0.877, + "step": 36160 + }, + { + "epoch": 0.85, + "grad_norm": 1.9183859040077176, + "learning_rate": 1.12807196962745e-06, + "loss": 0.7819, + "step": 36161 + }, + { + "epoch": 0.85, + "grad_norm": 1.9353867982875794, + "learning_rate": 1.1277199291616291e-06, + "loss": 0.7686, + "step": 36162 + }, + { + "epoch": 0.85, + "grad_norm": 1.5770966140637193, + "learning_rate": 1.127367940353029e-06, + "loss": 0.8841, + "step": 36163 + }, + { + "epoch": 0.85, + "grad_norm": 1.65342189812037, + "learning_rate": 1.1270160032037024e-06, + "loss": 1.0171, + "step": 36164 + }, + { + "epoch": 0.85, + "grad_norm": 1.7808834790317056, + "learning_rate": 1.1266641177157e-06, + "loss": 0.8577, + "step": 36165 + }, + { + "epoch": 0.85, + "grad_norm": 0.7657383926328023, + "learning_rate": 1.126312283891069e-06, + "loss": 0.6963, + "step": 36166 + }, + { + "epoch": 0.85, + "grad_norm": 1.5922652214148256, + "learning_rate": 1.1259605017318543e-06, + "loss": 0.9267, + "step": 36167 + }, + { + "epoch": 0.85, + "grad_norm": 1.6040069056037254, + "learning_rate": 1.1256087712401087e-06, + "loss": 0.8403, + "step": 36168 + }, + { + "epoch": 0.85, + "grad_norm": 2.1423791952742324, + "learning_rate": 1.1252570924178763e-06, + "loss": 0.7449, + "step": 36169 + }, + { + "epoch": 0.85, + "grad_norm": 1.5253191950215905, + "learning_rate": 1.1249054652672097e-06, + "loss": 0.7534, + "step": 36170 + }, + { + "epoch": 0.85, + "grad_norm": 1.528509182369417, + "learning_rate": 1.124553889790151e-06, + "loss": 0.748, + "step": 36171 + }, + { + "epoch": 0.85, + "grad_norm": 1.4720044221150819, + "learning_rate": 1.1242023659887513e-06, + "loss": 0.7777, + "step": 36172 + }, + { + "epoch": 0.85, + "grad_norm": 1.6666368260830604, + "learning_rate": 1.1238508938650527e-06, + "loss": 0.7211, + "step": 36173 + }, + { + "epoch": 0.85, + "grad_norm": 1.550868789036216, + "learning_rate": 1.123499473421108e-06, + "loss": 0.8041, + "step": 36174 + }, + { + "epoch": 0.85, + "grad_norm": 1.54320413874109, + "learning_rate": 1.1231481046589587e-06, + "loss": 0.9499, + "step": 36175 + }, + { + "epoch": 0.85, + "grad_norm": 1.4510355874333685, + "learning_rate": 1.1227967875806489e-06, + "loss": 0.8008, + "step": 36176 + }, + { + "epoch": 0.85, + "grad_norm": 1.6458520117012578, + "learning_rate": 1.122445522188228e-06, + "loss": 0.7713, + "step": 36177 + }, + { + "epoch": 0.85, + "grad_norm": 1.5663292108486742, + "learning_rate": 1.122094308483741e-06, + "loss": 0.8768, + "step": 36178 + }, + { + "epoch": 0.85, + "grad_norm": 1.5871468631289103, + "learning_rate": 1.121743146469232e-06, + "loss": 0.7713, + "step": 36179 + }, + { + "epoch": 0.85, + "grad_norm": 1.5166151422617566, + "learning_rate": 1.1213920361467422e-06, + "loss": 0.902, + "step": 36180 + }, + { + "epoch": 0.85, + "grad_norm": 1.787626338797401, + "learning_rate": 1.1210409775183207e-06, + "loss": 0.7709, + "step": 36181 + }, + { + "epoch": 0.85, + "grad_norm": 1.91596883927881, + "learning_rate": 1.1206899705860097e-06, + "loss": 0.761, + "step": 36182 + }, + { + "epoch": 0.85, + "grad_norm": 1.5918483754322195, + "learning_rate": 1.1203390153518546e-06, + "loss": 0.7972, + "step": 36183 + }, + { + "epoch": 0.85, + "grad_norm": 1.5054748631553303, + "learning_rate": 1.1199881118178934e-06, + "loss": 0.9418, + "step": 36184 + }, + { + "epoch": 0.85, + "grad_norm": 1.6400640558666277, + "learning_rate": 1.1196372599861738e-06, + "loss": 0.9082, + "step": 36185 + }, + { + "epoch": 0.85, + "grad_norm": 1.4635926324215196, + "learning_rate": 1.1192864598587395e-06, + "loss": 0.8329, + "step": 36186 + }, + { + "epoch": 0.85, + "grad_norm": 1.7292111640396834, + "learning_rate": 1.1189357114376308e-06, + "loss": 0.6705, + "step": 36187 + }, + { + "epoch": 0.85, + "grad_norm": 1.5207319718403332, + "learning_rate": 1.1185850147248879e-06, + "loss": 0.8139, + "step": 36188 + }, + { + "epoch": 0.85, + "grad_norm": 1.9680415243024807, + "learning_rate": 1.118234369722555e-06, + "loss": 0.8413, + "step": 36189 + }, + { + "epoch": 0.85, + "grad_norm": 1.4878220300536447, + "learning_rate": 1.1178837764326766e-06, + "loss": 0.8114, + "step": 36190 + }, + { + "epoch": 0.85, + "grad_norm": 1.6802065645411652, + "learning_rate": 1.1175332348572898e-06, + "loss": 0.8287, + "step": 36191 + }, + { + "epoch": 0.85, + "grad_norm": 1.3156444929777316, + "learning_rate": 1.1171827449984341e-06, + "loss": 0.8302, + "step": 36192 + }, + { + "epoch": 0.85, + "grad_norm": 1.6524309846960175, + "learning_rate": 1.1168323068581555e-06, + "loss": 0.8765, + "step": 36193 + }, + { + "epoch": 0.85, + "grad_norm": 1.5185043926511603, + "learning_rate": 1.1164819204384891e-06, + "loss": 0.8856, + "step": 36194 + }, + { + "epoch": 0.85, + "grad_norm": 1.7738796783695299, + "learning_rate": 1.11613158574148e-06, + "loss": 0.8679, + "step": 36195 + }, + { + "epoch": 0.85, + "grad_norm": 1.578160648596896, + "learning_rate": 1.1157813027691632e-06, + "loss": 0.9437, + "step": 36196 + }, + { + "epoch": 0.85, + "grad_norm": 1.607438342799049, + "learning_rate": 1.1154310715235827e-06, + "loss": 0.8372, + "step": 36197 + }, + { + "epoch": 0.85, + "grad_norm": 1.5892607324649166, + "learning_rate": 1.1150808920067723e-06, + "loss": 0.8372, + "step": 36198 + }, + { + "epoch": 0.85, + "grad_norm": 1.4946776298286324, + "learning_rate": 1.1147307642207771e-06, + "loss": 0.8219, + "step": 36199 + }, + { + "epoch": 0.85, + "grad_norm": 3.1841106101550007, + "learning_rate": 1.1143806881676311e-06, + "loss": 0.8699, + "step": 36200 + }, + { + "epoch": 0.85, + "grad_norm": 1.7321657564798858, + "learning_rate": 1.1140306638493725e-06, + "loss": 0.8257, + "step": 36201 + }, + { + "epoch": 0.85, + "grad_norm": 1.6375633951595576, + "learning_rate": 1.113680691268041e-06, + "loss": 0.8931, + "step": 36202 + }, + { + "epoch": 0.85, + "grad_norm": 1.692003756426832, + "learning_rate": 1.1133307704256758e-06, + "loss": 0.9466, + "step": 36203 + }, + { + "epoch": 0.85, + "grad_norm": 0.75623962213823, + "learning_rate": 1.112980901324312e-06, + "loss": 0.7117, + "step": 36204 + }, + { + "epoch": 0.85, + "grad_norm": 1.418521104057378, + "learning_rate": 1.112631083965985e-06, + "loss": 0.8589, + "step": 36205 + }, + { + "epoch": 0.85, + "grad_norm": 1.5451125377776864, + "learning_rate": 1.1122813183527337e-06, + "loss": 0.8285, + "step": 36206 + }, + { + "epoch": 0.85, + "grad_norm": 1.9670598829605506, + "learning_rate": 1.111931604486597e-06, + "loss": 0.7727, + "step": 36207 + }, + { + "epoch": 0.85, + "grad_norm": 1.5715279970946583, + "learning_rate": 1.1115819423696073e-06, + "loss": 0.7635, + "step": 36208 + }, + { + "epoch": 0.85, + "grad_norm": 1.83788049905508, + "learning_rate": 1.1112323320037998e-06, + "loss": 0.8688, + "step": 36209 + }, + { + "epoch": 0.85, + "grad_norm": 1.6174408842578396, + "learning_rate": 1.110882773391212e-06, + "loss": 0.9488, + "step": 36210 + }, + { + "epoch": 0.85, + "grad_norm": 1.409616995265784, + "learning_rate": 1.1105332665338808e-06, + "loss": 0.6645, + "step": 36211 + }, + { + "epoch": 0.85, + "grad_norm": 1.5122303766136687, + "learning_rate": 1.1101838114338393e-06, + "loss": 0.9536, + "step": 36212 + }, + { + "epoch": 0.85, + "grad_norm": 0.7623385691837492, + "learning_rate": 1.10983440809312e-06, + "loss": 0.6826, + "step": 36213 + }, + { + "epoch": 0.85, + "grad_norm": 1.6589832531327016, + "learning_rate": 1.1094850565137616e-06, + "loss": 0.8822, + "step": 36214 + }, + { + "epoch": 0.85, + "grad_norm": 1.3649977903808543, + "learning_rate": 1.1091357566977934e-06, + "loss": 0.7523, + "step": 36215 + }, + { + "epoch": 0.85, + "grad_norm": 1.5500701924079072, + "learning_rate": 1.108786508647255e-06, + "loss": 0.8826, + "step": 36216 + }, + { + "epoch": 0.85, + "grad_norm": 1.6325839934549582, + "learning_rate": 1.1084373123641734e-06, + "loss": 0.8938, + "step": 36217 + }, + { + "epoch": 0.85, + "grad_norm": 1.4302839187906498, + "learning_rate": 1.1080881678505862e-06, + "loss": 0.8798, + "step": 36218 + }, + { + "epoch": 0.85, + "grad_norm": 2.4460688161116018, + "learning_rate": 1.1077390751085237e-06, + "loss": 0.8396, + "step": 36219 + }, + { + "epoch": 0.85, + "grad_norm": 1.74977406155915, + "learning_rate": 1.107390034140019e-06, + "loss": 0.8854, + "step": 36220 + }, + { + "epoch": 0.85, + "grad_norm": 2.032854565307446, + "learning_rate": 1.1070410449471103e-06, + "loss": 0.6914, + "step": 36221 + }, + { + "epoch": 0.85, + "grad_norm": 1.5597706754413048, + "learning_rate": 1.1066921075318183e-06, + "loss": 0.7675, + "step": 36222 + }, + { + "epoch": 0.85, + "grad_norm": 2.1217454668307507, + "learning_rate": 1.106343221896181e-06, + "loss": 0.9445, + "step": 36223 + }, + { + "epoch": 0.85, + "grad_norm": 1.5180586193404324, + "learning_rate": 1.1059943880422297e-06, + "loss": 0.8631, + "step": 36224 + }, + { + "epoch": 0.85, + "grad_norm": 0.7231112189720872, + "learning_rate": 1.1056456059719989e-06, + "loss": 0.7156, + "step": 36225 + }, + { + "epoch": 0.85, + "grad_norm": 1.7570780667051915, + "learning_rate": 1.1052968756875104e-06, + "loss": 0.908, + "step": 36226 + }, + { + "epoch": 0.85, + "grad_norm": 1.710960235023472, + "learning_rate": 1.1049481971907993e-06, + "loss": 0.8921, + "step": 36227 + }, + { + "epoch": 0.85, + "grad_norm": 1.5282525978954018, + "learning_rate": 1.1045995704838997e-06, + "loss": 0.8529, + "step": 36228 + }, + { + "epoch": 0.85, + "grad_norm": 1.4356770441828945, + "learning_rate": 1.104250995568834e-06, + "loss": 0.7898, + "step": 36229 + }, + { + "epoch": 0.85, + "grad_norm": 0.8014464289692296, + "learning_rate": 1.1039024724476376e-06, + "loss": 0.7321, + "step": 36230 + }, + { + "epoch": 0.85, + "grad_norm": 1.6186279314452792, + "learning_rate": 1.1035540011223355e-06, + "loss": 0.7894, + "step": 36231 + }, + { + "epoch": 0.85, + "grad_norm": 1.7791264371693503, + "learning_rate": 1.1032055815949616e-06, + "loss": 0.8672, + "step": 36232 + }, + { + "epoch": 0.85, + "grad_norm": 1.3235595802832192, + "learning_rate": 1.1028572138675387e-06, + "loss": 0.9175, + "step": 36233 + }, + { + "epoch": 0.85, + "grad_norm": 0.8098479891268442, + "learning_rate": 1.1025088979420995e-06, + "loss": 0.7278, + "step": 36234 + }, + { + "epoch": 0.85, + "grad_norm": 1.78128127164223, + "learning_rate": 1.1021606338206714e-06, + "loss": 0.8594, + "step": 36235 + }, + { + "epoch": 0.85, + "grad_norm": 1.4097284056764685, + "learning_rate": 1.1018124215052783e-06, + "loss": 0.8101, + "step": 36236 + }, + { + "epoch": 0.85, + "grad_norm": 1.5771910112129484, + "learning_rate": 1.1014642609979498e-06, + "loss": 0.7923, + "step": 36237 + }, + { + "epoch": 0.85, + "grad_norm": 1.7386461018355663, + "learning_rate": 1.1011161523007163e-06, + "loss": 0.7809, + "step": 36238 + }, + { + "epoch": 0.85, + "grad_norm": 1.5890757783047935, + "learning_rate": 1.100768095415603e-06, + "loss": 0.848, + "step": 36239 + }, + { + "epoch": 0.85, + "grad_norm": 1.8990829049309588, + "learning_rate": 1.1004200903446316e-06, + "loss": 0.9206, + "step": 36240 + }, + { + "epoch": 0.85, + "grad_norm": 1.484542144110394, + "learning_rate": 1.1000721370898326e-06, + "loss": 0.7504, + "step": 36241 + }, + { + "epoch": 0.85, + "grad_norm": 1.6465184196120606, + "learning_rate": 1.0997242356532335e-06, + "loss": 0.9094, + "step": 36242 + }, + { + "epoch": 0.85, + "grad_norm": 1.662427704866162, + "learning_rate": 1.099376386036858e-06, + "loss": 0.8308, + "step": 36243 + }, + { + "epoch": 0.85, + "grad_norm": 1.4276116702227999, + "learning_rate": 1.0990285882427286e-06, + "loss": 0.7802, + "step": 36244 + }, + { + "epoch": 0.85, + "grad_norm": 1.5478727476508365, + "learning_rate": 1.0986808422728722e-06, + "loss": 0.8596, + "step": 36245 + }, + { + "epoch": 0.85, + "grad_norm": 1.8667866882241149, + "learning_rate": 1.0983331481293168e-06, + "loss": 0.8638, + "step": 36246 + }, + { + "epoch": 0.85, + "grad_norm": 1.4734185294600206, + "learning_rate": 1.0979855058140842e-06, + "loss": 0.8068, + "step": 36247 + }, + { + "epoch": 0.85, + "grad_norm": 1.8896706495408846, + "learning_rate": 1.097637915329196e-06, + "loss": 0.7914, + "step": 36248 + }, + { + "epoch": 0.85, + "grad_norm": 1.5777412979145158, + "learning_rate": 1.0972903766766797e-06, + "loss": 0.8068, + "step": 36249 + }, + { + "epoch": 0.85, + "grad_norm": 1.706465087151745, + "learning_rate": 1.0969428898585565e-06, + "loss": 0.8788, + "step": 36250 + }, + { + "epoch": 0.85, + "grad_norm": 1.577612065294109, + "learning_rate": 1.0965954548768509e-06, + "loss": 0.8721, + "step": 36251 + }, + { + "epoch": 0.85, + "grad_norm": 1.2662950679060436, + "learning_rate": 1.0962480717335843e-06, + "loss": 0.6824, + "step": 36252 + }, + { + "epoch": 0.85, + "grad_norm": 1.5315805052156077, + "learning_rate": 1.095900740430783e-06, + "loss": 0.8494, + "step": 36253 + }, + { + "epoch": 0.85, + "grad_norm": 0.7534918924011917, + "learning_rate": 1.0955534609704644e-06, + "loss": 0.7625, + "step": 36254 + }, + { + "epoch": 0.85, + "grad_norm": 1.6298792510203735, + "learning_rate": 1.095206233354653e-06, + "loss": 0.817, + "step": 36255 + }, + { + "epoch": 0.85, + "grad_norm": 1.5867238030637572, + "learning_rate": 1.0948590575853723e-06, + "loss": 0.8828, + "step": 36256 + }, + { + "epoch": 0.85, + "grad_norm": 1.8603478178539785, + "learning_rate": 1.0945119336646382e-06, + "loss": 0.7664, + "step": 36257 + }, + { + "epoch": 0.85, + "grad_norm": 2.0219623467216628, + "learning_rate": 1.0941648615944756e-06, + "loss": 0.7924, + "step": 36258 + }, + { + "epoch": 0.85, + "grad_norm": 1.6436083170463216, + "learning_rate": 1.0938178413769062e-06, + "loss": 0.8402, + "step": 36259 + }, + { + "epoch": 0.85, + "grad_norm": 0.7626696026410764, + "learning_rate": 1.0934708730139486e-06, + "loss": 0.7144, + "step": 36260 + }, + { + "epoch": 0.85, + "grad_norm": 1.687671056660763, + "learning_rate": 1.0931239565076224e-06, + "loss": 0.822, + "step": 36261 + }, + { + "epoch": 0.85, + "grad_norm": 1.4870265364534943, + "learning_rate": 1.0927770918599478e-06, + "loss": 0.9247, + "step": 36262 + }, + { + "epoch": 0.85, + "grad_norm": 1.4731157141276567, + "learning_rate": 1.0924302790729468e-06, + "loss": 0.7957, + "step": 36263 + }, + { + "epoch": 0.85, + "grad_norm": 1.6010784218989789, + "learning_rate": 1.0920835181486378e-06, + "loss": 0.9539, + "step": 36264 + }, + { + "epoch": 0.85, + "grad_norm": 1.4949802116983495, + "learning_rate": 1.0917368090890357e-06, + "loss": 0.86, + "step": 36265 + }, + { + "epoch": 0.85, + "grad_norm": 0.7611752859625812, + "learning_rate": 1.0913901518961623e-06, + "loss": 0.7141, + "step": 36266 + }, + { + "epoch": 0.85, + "grad_norm": 1.5104201299858706, + "learning_rate": 1.0910435465720382e-06, + "loss": 0.7132, + "step": 36267 + }, + { + "epoch": 0.85, + "grad_norm": 1.774223054252603, + "learning_rate": 1.0906969931186795e-06, + "loss": 0.7408, + "step": 36268 + }, + { + "epoch": 0.85, + "grad_norm": 2.134261785285547, + "learning_rate": 1.0903504915381002e-06, + "loss": 0.7974, + "step": 36269 + }, + { + "epoch": 0.85, + "grad_norm": 1.7194112750364046, + "learning_rate": 1.0900040418323243e-06, + "loss": 0.8814, + "step": 36270 + }, + { + "epoch": 0.85, + "grad_norm": 1.999607890751226, + "learning_rate": 1.0896576440033636e-06, + "loss": 0.8647, + "step": 36271 + }, + { + "epoch": 0.85, + "grad_norm": 1.5370595147355626, + "learning_rate": 1.0893112980532384e-06, + "loss": 0.9391, + "step": 36272 + }, + { + "epoch": 0.85, + "grad_norm": 1.8336367361424502, + "learning_rate": 1.0889650039839627e-06, + "loss": 0.7941, + "step": 36273 + }, + { + "epoch": 0.85, + "grad_norm": 1.55088204962636, + "learning_rate": 1.0886187617975552e-06, + "loss": 0.8417, + "step": 36274 + }, + { + "epoch": 0.85, + "grad_norm": 1.479394696543991, + "learning_rate": 1.0882725714960296e-06, + "loss": 0.7978, + "step": 36275 + }, + { + "epoch": 0.85, + "grad_norm": 1.7678901203872792, + "learning_rate": 1.0879264330814033e-06, + "loss": 0.8585, + "step": 36276 + }, + { + "epoch": 0.85, + "grad_norm": 1.4801253077928542, + "learning_rate": 1.0875803465556911e-06, + "loss": 0.8816, + "step": 36277 + }, + { + "epoch": 0.85, + "grad_norm": 1.8174245882139597, + "learning_rate": 1.087234311920906e-06, + "loss": 0.7045, + "step": 36278 + }, + { + "epoch": 0.85, + "grad_norm": 1.5435241337412982, + "learning_rate": 1.0868883291790645e-06, + "loss": 0.6933, + "step": 36279 + }, + { + "epoch": 0.85, + "grad_norm": 1.490255352347738, + "learning_rate": 1.0865423983321832e-06, + "loss": 0.8485, + "step": 36280 + }, + { + "epoch": 0.85, + "grad_norm": 2.244030485973317, + "learning_rate": 1.0861965193822743e-06, + "loss": 0.8063, + "step": 36281 + }, + { + "epoch": 0.85, + "grad_norm": 1.51003280148324, + "learning_rate": 1.0858506923313484e-06, + "loss": 0.7124, + "step": 36282 + }, + { + "epoch": 0.85, + "grad_norm": 1.594039357186443, + "learning_rate": 1.0855049171814226e-06, + "loss": 0.8645, + "step": 36283 + }, + { + "epoch": 0.85, + "grad_norm": 1.628235503008301, + "learning_rate": 1.0851591939345108e-06, + "loss": 0.7445, + "step": 36284 + }, + { + "epoch": 0.85, + "grad_norm": 1.911685378782945, + "learning_rate": 1.0848135225926248e-06, + "loss": 0.801, + "step": 36285 + }, + { + "epoch": 0.85, + "grad_norm": 2.2618328339901366, + "learning_rate": 1.0844679031577754e-06, + "loss": 0.7188, + "step": 36286 + }, + { + "epoch": 0.85, + "grad_norm": 1.517783179085898, + "learning_rate": 1.0841223356319763e-06, + "loss": 0.7589, + "step": 36287 + }, + { + "epoch": 0.85, + "grad_norm": 1.7356978070954943, + "learning_rate": 1.0837768200172417e-06, + "loss": 0.7744, + "step": 36288 + }, + { + "epoch": 0.85, + "grad_norm": 2.652872002374394, + "learning_rate": 1.0834313563155807e-06, + "loss": 0.8726, + "step": 36289 + }, + { + "epoch": 0.85, + "grad_norm": 2.003471108731172, + "learning_rate": 1.0830859445290044e-06, + "loss": 0.8828, + "step": 36290 + }, + { + "epoch": 0.85, + "grad_norm": 1.6146469584497531, + "learning_rate": 1.0827405846595251e-06, + "loss": 0.8116, + "step": 36291 + }, + { + "epoch": 0.86, + "grad_norm": 1.931672259333636, + "learning_rate": 1.0823952767091527e-06, + "loss": 0.893, + "step": 36292 + }, + { + "epoch": 0.86, + "grad_norm": 0.7535182951134093, + "learning_rate": 1.0820500206799002e-06, + "loss": 0.6932, + "step": 36293 + }, + { + "epoch": 0.86, + "grad_norm": 1.516247105566327, + "learning_rate": 1.0817048165737732e-06, + "loss": 0.8591, + "step": 36294 + }, + { + "epoch": 0.86, + "grad_norm": 0.8344603226708922, + "learning_rate": 1.0813596643927871e-06, + "loss": 0.7857, + "step": 36295 + }, + { + "epoch": 0.86, + "grad_norm": 1.8299820448158537, + "learning_rate": 1.0810145641389458e-06, + "loss": 0.7159, + "step": 36296 + }, + { + "epoch": 0.86, + "grad_norm": 1.4441188788958086, + "learning_rate": 1.0806695158142633e-06, + "loss": 0.7992, + "step": 36297 + }, + { + "epoch": 0.86, + "grad_norm": 1.5433684942227222, + "learning_rate": 1.0803245194207468e-06, + "loss": 0.932, + "step": 36298 + }, + { + "epoch": 0.86, + "grad_norm": 1.6202046009401792, + "learning_rate": 1.0799795749604037e-06, + "loss": 0.8234, + "step": 36299 + }, + { + "epoch": 0.86, + "grad_norm": 1.6043385640839225, + "learning_rate": 1.0796346824352433e-06, + "loss": 0.7375, + "step": 36300 + }, + { + "epoch": 0.86, + "grad_norm": 1.4550398515141632, + "learning_rate": 1.0792898418472753e-06, + "loss": 0.8356, + "step": 36301 + }, + { + "epoch": 0.86, + "grad_norm": 1.4639392604256698, + "learning_rate": 1.0789450531985068e-06, + "loss": 0.8541, + "step": 36302 + }, + { + "epoch": 0.86, + "grad_norm": 1.6195145180760746, + "learning_rate": 1.078600316490942e-06, + "loss": 0.7516, + "step": 36303 + }, + { + "epoch": 0.86, + "grad_norm": 1.6563783606924898, + "learning_rate": 1.0782556317265902e-06, + "loss": 0.8838, + "step": 36304 + }, + { + "epoch": 0.86, + "grad_norm": 1.6062131501986352, + "learning_rate": 1.0779109989074621e-06, + "loss": 0.8802, + "step": 36305 + }, + { + "epoch": 0.86, + "grad_norm": 2.0938406065795983, + "learning_rate": 1.0775664180355593e-06, + "loss": 0.7998, + "step": 36306 + }, + { + "epoch": 0.86, + "grad_norm": 2.0821296996164373, + "learning_rate": 1.0772218891128882e-06, + "loss": 0.9119, + "step": 36307 + }, + { + "epoch": 0.86, + "grad_norm": 1.4869102559787226, + "learning_rate": 1.076877412141457e-06, + "loss": 0.8274, + "step": 36308 + }, + { + "epoch": 0.86, + "grad_norm": 1.5188231260452905, + "learning_rate": 1.076532987123271e-06, + "loss": 0.7918, + "step": 36309 + }, + { + "epoch": 0.86, + "grad_norm": 1.5602873741889642, + "learning_rate": 1.0761886140603362e-06, + "loss": 0.8474, + "step": 36310 + }, + { + "epoch": 0.86, + "grad_norm": 1.5988365106845626, + "learning_rate": 1.0758442929546543e-06, + "loss": 0.8479, + "step": 36311 + }, + { + "epoch": 0.86, + "grad_norm": 1.4916806936674585, + "learning_rate": 1.0755000238082326e-06, + "loss": 0.891, + "step": 36312 + }, + { + "epoch": 0.86, + "grad_norm": 1.5622514025172576, + "learning_rate": 1.075155806623076e-06, + "loss": 0.9629, + "step": 36313 + }, + { + "epoch": 0.86, + "grad_norm": 0.7293913779491901, + "learning_rate": 1.074811641401189e-06, + "loss": 0.6608, + "step": 36314 + }, + { + "epoch": 0.86, + "grad_norm": 1.4891033138783163, + "learning_rate": 1.0744675281445726e-06, + "loss": 0.8164, + "step": 36315 + }, + { + "epoch": 0.86, + "grad_norm": 0.7973272505049187, + "learning_rate": 1.0741234668552324e-06, + "loss": 0.687, + "step": 36316 + }, + { + "epoch": 0.86, + "grad_norm": 1.476624770600149, + "learning_rate": 1.0737794575351712e-06, + "loss": 0.9847, + "step": 36317 + }, + { + "epoch": 0.86, + "grad_norm": 1.4468715630527438, + "learning_rate": 1.0734355001863904e-06, + "loss": 0.8711, + "step": 36318 + }, + { + "epoch": 0.86, + "grad_norm": 1.6966493923327675, + "learning_rate": 1.0730915948108966e-06, + "loss": 0.8518, + "step": 36319 + }, + { + "epoch": 0.86, + "grad_norm": 1.4893737493397634, + "learning_rate": 1.0727477414106903e-06, + "loss": 0.9301, + "step": 36320 + }, + { + "epoch": 0.86, + "grad_norm": 1.722761377998522, + "learning_rate": 1.0724039399877705e-06, + "loss": 0.8291, + "step": 36321 + }, + { + "epoch": 0.86, + "grad_norm": 1.6195985643803967, + "learning_rate": 1.0720601905441419e-06, + "loss": 0.8355, + "step": 36322 + }, + { + "epoch": 0.86, + "grad_norm": 1.5252441209283907, + "learning_rate": 1.071716493081809e-06, + "loss": 0.7395, + "step": 36323 + }, + { + "epoch": 0.86, + "grad_norm": 1.6473091929498993, + "learning_rate": 1.0713728476027653e-06, + "loss": 0.8405, + "step": 36324 + }, + { + "epoch": 0.86, + "grad_norm": 1.4019956595462555, + "learning_rate": 1.0710292541090161e-06, + "loss": 0.9635, + "step": 36325 + }, + { + "epoch": 0.86, + "grad_norm": 1.6154955745878423, + "learning_rate": 1.0706857126025604e-06, + "loss": 0.8184, + "step": 36326 + }, + { + "epoch": 0.86, + "grad_norm": 1.6870949136726303, + "learning_rate": 1.0703422230854022e-06, + "loss": 0.7023, + "step": 36327 + }, + { + "epoch": 0.86, + "grad_norm": 1.755598461824686, + "learning_rate": 1.0699987855595384e-06, + "loss": 0.7641, + "step": 36328 + }, + { + "epoch": 0.86, + "grad_norm": 1.579973448040378, + "learning_rate": 1.0696554000269677e-06, + "loss": 0.7489, + "step": 36329 + }, + { + "epoch": 0.86, + "grad_norm": 1.770783877423544, + "learning_rate": 1.0693120664896916e-06, + "loss": 0.792, + "step": 36330 + }, + { + "epoch": 0.86, + "grad_norm": 1.574864221608101, + "learning_rate": 1.0689687849497066e-06, + "loss": 0.8146, + "step": 36331 + }, + { + "epoch": 0.86, + "grad_norm": 1.6679317905579765, + "learning_rate": 1.068625555409014e-06, + "loss": 0.8284, + "step": 36332 + }, + { + "epoch": 0.86, + "grad_norm": 0.7528845614309118, + "learning_rate": 1.0682823778696105e-06, + "loss": 0.6727, + "step": 36333 + }, + { + "epoch": 0.86, + "grad_norm": 0.8363136565106074, + "learning_rate": 1.0679392523334954e-06, + "loss": 0.7192, + "step": 36334 + }, + { + "epoch": 0.86, + "grad_norm": 1.801516124476433, + "learning_rate": 1.0675961788026646e-06, + "loss": 1.0042, + "step": 36335 + }, + { + "epoch": 0.86, + "grad_norm": 1.4527471518813724, + "learning_rate": 1.0672531572791178e-06, + "loss": 0.8453, + "step": 36336 + }, + { + "epoch": 0.86, + "grad_norm": 1.9236405784061117, + "learning_rate": 1.0669101877648524e-06, + "loss": 0.9421, + "step": 36337 + }, + { + "epoch": 0.86, + "grad_norm": 1.5122275430572591, + "learning_rate": 1.0665672702618612e-06, + "loss": 0.8983, + "step": 36338 + }, + { + "epoch": 0.86, + "grad_norm": 1.5206004769065888, + "learning_rate": 1.0662244047721437e-06, + "loss": 0.6873, + "step": 36339 + }, + { + "epoch": 0.86, + "grad_norm": 1.617688927574005, + "learning_rate": 1.0658815912976983e-06, + "loss": 0.7939, + "step": 36340 + }, + { + "epoch": 0.86, + "grad_norm": 1.88937011692578, + "learning_rate": 1.065538829840519e-06, + "loss": 0.8207, + "step": 36341 + }, + { + "epoch": 0.86, + "grad_norm": 1.4225979995841036, + "learning_rate": 1.0651961204025995e-06, + "loss": 0.8334, + "step": 36342 + }, + { + "epoch": 0.86, + "grad_norm": 1.7251312477038407, + "learning_rate": 1.0648534629859363e-06, + "loss": 0.8666, + "step": 36343 + }, + { + "epoch": 0.86, + "grad_norm": 1.5431719797591485, + "learning_rate": 1.0645108575925267e-06, + "loss": 0.7778, + "step": 36344 + }, + { + "epoch": 0.86, + "grad_norm": 3.1588277909873343, + "learning_rate": 1.0641683042243645e-06, + "loss": 0.7476, + "step": 36345 + }, + { + "epoch": 0.86, + "grad_norm": 1.7249235369304923, + "learning_rate": 1.0638258028834415e-06, + "loss": 0.8426, + "step": 36346 + }, + { + "epoch": 0.86, + "grad_norm": 1.797124426604256, + "learning_rate": 1.0634833535717537e-06, + "loss": 0.8413, + "step": 36347 + }, + { + "epoch": 0.86, + "grad_norm": 1.5237798044695756, + "learning_rate": 1.0631409562912975e-06, + "loss": 0.9012, + "step": 36348 + }, + { + "epoch": 0.86, + "grad_norm": 1.5630790516655069, + "learning_rate": 1.0627986110440637e-06, + "loss": 0.9091, + "step": 36349 + }, + { + "epoch": 0.86, + "grad_norm": 1.780588525608447, + "learning_rate": 1.0624563178320435e-06, + "loss": 0.8241, + "step": 36350 + }, + { + "epoch": 0.86, + "grad_norm": 1.9089645130337225, + "learning_rate": 1.0621140766572336e-06, + "loss": 0.9099, + "step": 36351 + }, + { + "epoch": 0.86, + "grad_norm": 1.4303842835300995, + "learning_rate": 1.0617718875216242e-06, + "loss": 0.9718, + "step": 36352 + }, + { + "epoch": 0.86, + "grad_norm": 1.845433236597433, + "learning_rate": 1.0614297504272108e-06, + "loss": 0.6761, + "step": 36353 + }, + { + "epoch": 0.86, + "grad_norm": 1.3520016856981836, + "learning_rate": 1.0610876653759805e-06, + "loss": 0.8847, + "step": 36354 + }, + { + "epoch": 0.86, + "grad_norm": 1.5030184730640168, + "learning_rate": 1.0607456323699306e-06, + "loss": 0.8615, + "step": 36355 + }, + { + "epoch": 0.86, + "grad_norm": 1.5036560149401441, + "learning_rate": 1.0604036514110471e-06, + "loss": 0.828, + "step": 36356 + }, + { + "epoch": 0.86, + "grad_norm": 1.734142246165989, + "learning_rate": 1.0600617225013265e-06, + "loss": 0.8555, + "step": 36357 + }, + { + "epoch": 0.86, + "grad_norm": 1.3634377841587961, + "learning_rate": 1.059719845642756e-06, + "loss": 0.7999, + "step": 36358 + }, + { + "epoch": 0.86, + "grad_norm": 1.7813790539715917, + "learning_rate": 1.059378020837326e-06, + "loss": 0.8881, + "step": 36359 + }, + { + "epoch": 0.86, + "grad_norm": 1.6138078867888825, + "learning_rate": 1.0590362480870275e-06, + "loss": 0.8214, + "step": 36360 + }, + { + "epoch": 0.86, + "grad_norm": 1.602264720281043, + "learning_rate": 1.058694527393852e-06, + "loss": 0.7763, + "step": 36361 + }, + { + "epoch": 0.86, + "grad_norm": 2.0855994822282558, + "learning_rate": 1.058352858759788e-06, + "loss": 0.7874, + "step": 36362 + }, + { + "epoch": 0.86, + "grad_norm": 1.6915719127908473, + "learning_rate": 1.0580112421868226e-06, + "loss": 0.8381, + "step": 36363 + }, + { + "epoch": 0.86, + "grad_norm": 1.6087472254428141, + "learning_rate": 1.0576696776769469e-06, + "loss": 0.8411, + "step": 36364 + }, + { + "epoch": 0.86, + "grad_norm": 1.5736546863604235, + "learning_rate": 1.057328165232151e-06, + "loss": 0.8107, + "step": 36365 + }, + { + "epoch": 0.86, + "grad_norm": 2.1506274072772595, + "learning_rate": 1.0569867048544225e-06, + "loss": 0.8758, + "step": 36366 + }, + { + "epoch": 0.86, + "grad_norm": 1.6193115679932004, + "learning_rate": 1.0566452965457452e-06, + "loss": 0.8441, + "step": 36367 + }, + { + "epoch": 0.86, + "grad_norm": 0.7758569767573464, + "learning_rate": 1.056303940308112e-06, + "loss": 0.7039, + "step": 36368 + }, + { + "epoch": 0.86, + "grad_norm": 1.4859698565939958, + "learning_rate": 1.0559626361435104e-06, + "loss": 0.7953, + "step": 36369 + }, + { + "epoch": 0.86, + "grad_norm": 1.7345886317717056, + "learning_rate": 1.0556213840539253e-06, + "loss": 0.7549, + "step": 36370 + }, + { + "epoch": 0.86, + "grad_norm": 1.5131126310350516, + "learning_rate": 1.0552801840413428e-06, + "loss": 0.8188, + "step": 36371 + }, + { + "epoch": 0.86, + "grad_norm": 1.4866368793950817, + "learning_rate": 1.0549390361077527e-06, + "loss": 0.8072, + "step": 36372 + }, + { + "epoch": 0.86, + "grad_norm": 1.6304045835940053, + "learning_rate": 1.0545979402551375e-06, + "loss": 0.8818, + "step": 36373 + }, + { + "epoch": 0.86, + "grad_norm": 1.610395961366147, + "learning_rate": 1.054256896485487e-06, + "loss": 0.8349, + "step": 36374 + }, + { + "epoch": 0.86, + "grad_norm": 1.8038217097181124, + "learning_rate": 1.0539159048007842e-06, + "loss": 0.842, + "step": 36375 + }, + { + "epoch": 0.86, + "grad_norm": 1.8473714711476121, + "learning_rate": 1.0535749652030159e-06, + "loss": 0.8482, + "step": 36376 + }, + { + "epoch": 0.86, + "grad_norm": 1.5004751925715332, + "learning_rate": 1.0532340776941653e-06, + "loss": 0.8621, + "step": 36377 + }, + { + "epoch": 0.86, + "grad_norm": 1.6630288684684416, + "learning_rate": 1.0528932422762195e-06, + "loss": 0.7518, + "step": 36378 + }, + { + "epoch": 0.86, + "grad_norm": 1.4167992633998163, + "learning_rate": 1.0525524589511627e-06, + "loss": 0.9584, + "step": 36379 + }, + { + "epoch": 0.86, + "grad_norm": 1.4408502241660266, + "learning_rate": 1.0522117277209764e-06, + "loss": 0.755, + "step": 36380 + }, + { + "epoch": 0.86, + "grad_norm": 1.9974382881684096, + "learning_rate": 1.051871048587646e-06, + "loss": 0.7382, + "step": 36381 + }, + { + "epoch": 0.86, + "grad_norm": 1.5025125687138519, + "learning_rate": 1.0515304215531563e-06, + "loss": 0.793, + "step": 36382 + }, + { + "epoch": 0.86, + "grad_norm": 1.6547372529621518, + "learning_rate": 1.0511898466194903e-06, + "loss": 0.8283, + "step": 36383 + }, + { + "epoch": 0.86, + "grad_norm": 1.8623604157275657, + "learning_rate": 1.0508493237886286e-06, + "loss": 0.837, + "step": 36384 + }, + { + "epoch": 0.86, + "grad_norm": 1.7486078126692872, + "learning_rate": 1.050508853062555e-06, + "loss": 0.908, + "step": 36385 + }, + { + "epoch": 0.86, + "grad_norm": 1.5328348360771342, + "learning_rate": 1.0501684344432538e-06, + "loss": 0.717, + "step": 36386 + }, + { + "epoch": 0.86, + "grad_norm": 0.7967290383959553, + "learning_rate": 1.0498280679327067e-06, + "loss": 0.7195, + "step": 36387 + }, + { + "epoch": 0.86, + "grad_norm": 1.6643969594349033, + "learning_rate": 1.0494877535328907e-06, + "loss": 0.8368, + "step": 36388 + }, + { + "epoch": 0.86, + "grad_norm": 1.7027595460742229, + "learning_rate": 1.049147491245791e-06, + "loss": 0.9642, + "step": 36389 + }, + { + "epoch": 0.86, + "grad_norm": 2.046692225628244, + "learning_rate": 1.0488072810733906e-06, + "loss": 0.8815, + "step": 36390 + }, + { + "epoch": 0.86, + "grad_norm": 0.7660701334330461, + "learning_rate": 1.048467123017669e-06, + "loss": 0.68, + "step": 36391 + }, + { + "epoch": 0.86, + "grad_norm": 2.0143865467344075, + "learning_rate": 1.0481270170806024e-06, + "loss": 0.8963, + "step": 36392 + }, + { + "epoch": 0.86, + "grad_norm": 1.6405956233926833, + "learning_rate": 1.0477869632641769e-06, + "loss": 0.7969, + "step": 36393 + }, + { + "epoch": 0.86, + "grad_norm": 1.7130776658021292, + "learning_rate": 1.0474469615703686e-06, + "loss": 0.8399, + "step": 36394 + }, + { + "epoch": 0.86, + "grad_norm": 1.6606382530516304, + "learning_rate": 1.0471070120011595e-06, + "loss": 0.7427, + "step": 36395 + }, + { + "epoch": 0.86, + "grad_norm": 1.5118200745389307, + "learning_rate": 1.0467671145585268e-06, + "loss": 0.8526, + "step": 36396 + }, + { + "epoch": 0.86, + "grad_norm": 0.8817778030681024, + "learning_rate": 1.0464272692444511e-06, + "loss": 0.7644, + "step": 36397 + }, + { + "epoch": 0.86, + "grad_norm": 1.5884837886940437, + "learning_rate": 1.0460874760609096e-06, + "loss": 0.8082, + "step": 36398 + }, + { + "epoch": 0.86, + "grad_norm": 0.7680952175263444, + "learning_rate": 1.0457477350098832e-06, + "loss": 0.6717, + "step": 36399 + }, + { + "epoch": 0.86, + "grad_norm": 1.5910561227024302, + "learning_rate": 1.045408046093348e-06, + "loss": 0.8372, + "step": 36400 + }, + { + "epoch": 0.86, + "grad_norm": 1.7670832472707338, + "learning_rate": 1.0450684093132813e-06, + "loss": 0.8464, + "step": 36401 + }, + { + "epoch": 0.86, + "grad_norm": 1.6006992784286969, + "learning_rate": 1.0447288246716602e-06, + "loss": 0.8506, + "step": 36402 + }, + { + "epoch": 0.86, + "grad_norm": 0.7335370432778096, + "learning_rate": 1.0443892921704635e-06, + "loss": 0.764, + "step": 36403 + }, + { + "epoch": 0.86, + "grad_norm": 2.2769577947537774, + "learning_rate": 1.0440498118116715e-06, + "loss": 0.739, + "step": 36404 + }, + { + "epoch": 0.86, + "grad_norm": 1.8162408920424995, + "learning_rate": 1.0437103835972528e-06, + "loss": 0.6668, + "step": 36405 + }, + { + "epoch": 0.86, + "grad_norm": 1.571389250861137, + "learning_rate": 1.043371007529188e-06, + "loss": 0.8239, + "step": 36406 + }, + { + "epoch": 0.86, + "grad_norm": 1.5661167369746005, + "learning_rate": 1.0430316836094555e-06, + "loss": 0.941, + "step": 36407 + }, + { + "epoch": 0.86, + "grad_norm": 1.5586059473743274, + "learning_rate": 1.0426924118400272e-06, + "loss": 0.8879, + "step": 36408 + }, + { + "epoch": 0.86, + "grad_norm": 1.4600556462485041, + "learning_rate": 1.042353192222878e-06, + "loss": 0.7968, + "step": 36409 + }, + { + "epoch": 0.86, + "grad_norm": 2.8662946906517295, + "learning_rate": 1.0420140247599842e-06, + "loss": 0.8165, + "step": 36410 + }, + { + "epoch": 0.86, + "grad_norm": 1.6429151049467463, + "learning_rate": 1.041674909453323e-06, + "loss": 0.8182, + "step": 36411 + }, + { + "epoch": 0.86, + "grad_norm": 1.6477686258898754, + "learning_rate": 1.0413358463048674e-06, + "loss": 0.8335, + "step": 36412 + }, + { + "epoch": 0.86, + "grad_norm": 1.7377765915137278, + "learning_rate": 1.0409968353165878e-06, + "loss": 0.8549, + "step": 36413 + }, + { + "epoch": 0.86, + "grad_norm": 1.6042653497080075, + "learning_rate": 1.040657876490463e-06, + "loss": 0.9271, + "step": 36414 + }, + { + "epoch": 0.86, + "grad_norm": 1.6893270026177047, + "learning_rate": 1.040318969828462e-06, + "loss": 0.7075, + "step": 36415 + }, + { + "epoch": 0.86, + "grad_norm": 1.6742295897906299, + "learning_rate": 1.0399801153325616e-06, + "loss": 0.877, + "step": 36416 + }, + { + "epoch": 0.86, + "grad_norm": 1.5039653833215558, + "learning_rate": 1.0396413130047356e-06, + "loss": 0.8042, + "step": 36417 + }, + { + "epoch": 0.86, + "grad_norm": 1.5517410076502578, + "learning_rate": 1.0393025628469545e-06, + "loss": 0.8011, + "step": 36418 + }, + { + "epoch": 0.86, + "grad_norm": 1.6661409096369264, + "learning_rate": 1.038963864861189e-06, + "loss": 0.8623, + "step": 36419 + }, + { + "epoch": 0.86, + "grad_norm": 1.729020144088196, + "learning_rate": 1.0386252190494117e-06, + "loss": 0.9204, + "step": 36420 + }, + { + "epoch": 0.86, + "grad_norm": 1.6463461084079005, + "learning_rate": 1.0382866254136004e-06, + "loss": 0.6843, + "step": 36421 + }, + { + "epoch": 0.86, + "grad_norm": 1.7689599361657067, + "learning_rate": 1.0379480839557177e-06, + "loss": 0.8505, + "step": 36422 + }, + { + "epoch": 0.86, + "grad_norm": 1.569094908258485, + "learning_rate": 1.0376095946777387e-06, + "loss": 0.8556, + "step": 36423 + }, + { + "epoch": 0.86, + "grad_norm": 1.6421520491019692, + "learning_rate": 1.0372711575816341e-06, + "loss": 0.8677, + "step": 36424 + }, + { + "epoch": 0.86, + "grad_norm": 0.750005267774813, + "learning_rate": 1.0369327726693757e-06, + "loss": 0.6895, + "step": 36425 + }, + { + "epoch": 0.86, + "grad_norm": 1.6329709782077384, + "learning_rate": 1.0365944399429327e-06, + "loss": 0.7615, + "step": 36426 + }, + { + "epoch": 0.86, + "grad_norm": 1.7141930418955773, + "learning_rate": 1.036256159404273e-06, + "loss": 0.7538, + "step": 36427 + }, + { + "epoch": 0.86, + "grad_norm": 1.6388283628973304, + "learning_rate": 1.035917931055369e-06, + "loss": 0.7822, + "step": 36428 + }, + { + "epoch": 0.86, + "grad_norm": 1.3320583717818364, + "learning_rate": 1.035579754898187e-06, + "loss": 0.7626, + "step": 36429 + }, + { + "epoch": 0.86, + "grad_norm": 1.9121358653672291, + "learning_rate": 1.0352416309347003e-06, + "loss": 0.7101, + "step": 36430 + }, + { + "epoch": 0.86, + "grad_norm": 1.4970383963414577, + "learning_rate": 1.0349035591668732e-06, + "loss": 0.8307, + "step": 36431 + }, + { + "epoch": 0.86, + "grad_norm": 1.4945847044197094, + "learning_rate": 1.034565539596677e-06, + "loss": 0.7734, + "step": 36432 + }, + { + "epoch": 0.86, + "grad_norm": 1.656579648796334, + "learning_rate": 1.0342275722260776e-06, + "loss": 0.7484, + "step": 36433 + }, + { + "epoch": 0.86, + "grad_norm": 3.91863363889263, + "learning_rate": 1.0338896570570456e-06, + "loss": 0.8339, + "step": 36434 + }, + { + "epoch": 0.86, + "grad_norm": 2.048129424908769, + "learning_rate": 1.0335517940915441e-06, + "loss": 0.7876, + "step": 36435 + }, + { + "epoch": 0.86, + "grad_norm": 1.550102668105945, + "learning_rate": 1.0332139833315447e-06, + "loss": 0.928, + "step": 36436 + }, + { + "epoch": 0.86, + "grad_norm": 1.5886661687434078, + "learning_rate": 1.0328762247790103e-06, + "loss": 0.8551, + "step": 36437 + }, + { + "epoch": 0.86, + "grad_norm": 1.9896742899202013, + "learning_rate": 1.0325385184359126e-06, + "loss": 0.8079, + "step": 36438 + }, + { + "epoch": 0.86, + "grad_norm": 1.8585617247835822, + "learning_rate": 1.0322008643042136e-06, + "loss": 1.0258, + "step": 36439 + }, + { + "epoch": 0.86, + "grad_norm": 9.373072639882713, + "learning_rate": 1.031863262385878e-06, + "loss": 0.8411, + "step": 36440 + }, + { + "epoch": 0.86, + "grad_norm": 1.5433491391875847, + "learning_rate": 1.0315257126828749e-06, + "loss": 0.965, + "step": 36441 + }, + { + "epoch": 0.86, + "grad_norm": 1.3698446601742151, + "learning_rate": 1.0311882151971697e-06, + "loss": 0.7482, + "step": 36442 + }, + { + "epoch": 0.86, + "grad_norm": 1.4526816094899277, + "learning_rate": 1.0308507699307268e-06, + "loss": 0.7555, + "step": 36443 + }, + { + "epoch": 0.86, + "grad_norm": 1.6478547320299253, + "learning_rate": 1.030513376885508e-06, + "loss": 0.7183, + "step": 36444 + }, + { + "epoch": 0.86, + "grad_norm": 0.7326815024998268, + "learning_rate": 1.0301760360634794e-06, + "loss": 0.6296, + "step": 36445 + }, + { + "epoch": 0.86, + "grad_norm": 1.5513513075302041, + "learning_rate": 1.0298387474666083e-06, + "loss": 0.8252, + "step": 36446 + }, + { + "epoch": 0.86, + "grad_norm": 1.7176466965423773, + "learning_rate": 1.0295015110968564e-06, + "loss": 0.7512, + "step": 36447 + }, + { + "epoch": 0.86, + "grad_norm": 1.511324823288837, + "learning_rate": 1.0291643269561835e-06, + "loss": 0.8211, + "step": 36448 + }, + { + "epoch": 0.86, + "grad_norm": 0.8122669240858917, + "learning_rate": 1.0288271950465566e-06, + "loss": 0.7155, + "step": 36449 + }, + { + "epoch": 0.86, + "grad_norm": 1.5911848887284064, + "learning_rate": 1.0284901153699412e-06, + "loss": 0.8366, + "step": 36450 + }, + { + "epoch": 0.86, + "grad_norm": 1.4525297486765585, + "learning_rate": 1.0281530879282953e-06, + "loss": 0.844, + "step": 36451 + }, + { + "epoch": 0.86, + "grad_norm": 1.6097647558068249, + "learning_rate": 1.0278161127235808e-06, + "loss": 0.8137, + "step": 36452 + }, + { + "epoch": 0.86, + "grad_norm": 1.5962197216876786, + "learning_rate": 1.027479189757763e-06, + "loss": 0.8744, + "step": 36453 + }, + { + "epoch": 0.86, + "grad_norm": 1.8928542493470866, + "learning_rate": 1.027142319032801e-06, + "loss": 0.8061, + "step": 36454 + }, + { + "epoch": 0.86, + "grad_norm": 1.5976542561213753, + "learning_rate": 1.0268055005506583e-06, + "loss": 0.8567, + "step": 36455 + }, + { + "epoch": 0.86, + "grad_norm": 0.7547428911227559, + "learning_rate": 1.0264687343132928e-06, + "loss": 0.7079, + "step": 36456 + }, + { + "epoch": 0.86, + "grad_norm": 1.5546141146168204, + "learning_rate": 1.02613202032267e-06, + "loss": 0.7266, + "step": 36457 + }, + { + "epoch": 0.86, + "grad_norm": 1.6800191938679003, + "learning_rate": 1.0257953585807456e-06, + "loss": 0.789, + "step": 36458 + }, + { + "epoch": 0.86, + "grad_norm": 1.5202306336578513, + "learning_rate": 1.025458749089484e-06, + "loss": 0.6597, + "step": 36459 + }, + { + "epoch": 0.86, + "grad_norm": 0.7663456383505893, + "learning_rate": 1.0251221918508425e-06, + "loss": 0.7038, + "step": 36460 + }, + { + "epoch": 0.86, + "grad_norm": 1.6439804417221187, + "learning_rate": 1.0247856868667782e-06, + "loss": 0.8036, + "step": 36461 + }, + { + "epoch": 0.86, + "grad_norm": 1.8356572759427574, + "learning_rate": 1.0244492341392543e-06, + "loss": 0.903, + "step": 36462 + }, + { + "epoch": 0.86, + "grad_norm": 1.6057806612981493, + "learning_rate": 1.02411283367023e-06, + "loss": 0.6979, + "step": 36463 + }, + { + "epoch": 0.86, + "grad_norm": 1.7897879717859324, + "learning_rate": 1.0237764854616628e-06, + "loss": 0.8041, + "step": 36464 + }, + { + "epoch": 0.86, + "grad_norm": 1.563976442030229, + "learning_rate": 1.0234401895155076e-06, + "loss": 0.8466, + "step": 36465 + }, + { + "epoch": 0.86, + "grad_norm": 1.5379372104763223, + "learning_rate": 1.0231039458337267e-06, + "loss": 0.8275, + "step": 36466 + }, + { + "epoch": 0.86, + "grad_norm": 0.7727497913130394, + "learning_rate": 1.022767754418279e-06, + "loss": 0.6475, + "step": 36467 + }, + { + "epoch": 0.86, + "grad_norm": 1.526432631539367, + "learning_rate": 1.022431615271119e-06, + "loss": 0.9141, + "step": 36468 + }, + { + "epoch": 0.86, + "grad_norm": 1.530156044521114, + "learning_rate": 1.0220955283942024e-06, + "loss": 0.8101, + "step": 36469 + }, + { + "epoch": 0.86, + "grad_norm": 1.5835562392081781, + "learning_rate": 1.021759493789488e-06, + "loss": 0.8807, + "step": 36470 + }, + { + "epoch": 0.86, + "grad_norm": 1.7275155586012558, + "learning_rate": 1.0214235114589344e-06, + "loss": 0.8776, + "step": 36471 + }, + { + "epoch": 0.86, + "grad_norm": 1.6613583466316884, + "learning_rate": 1.021087581404495e-06, + "loss": 0.9463, + "step": 36472 + }, + { + "epoch": 0.86, + "grad_norm": 2.0323242633347665, + "learning_rate": 1.0207517036281256e-06, + "loss": 0.793, + "step": 36473 + }, + { + "epoch": 0.86, + "grad_norm": 0.8313533593349006, + "learning_rate": 1.0204158781317841e-06, + "loss": 0.6931, + "step": 36474 + }, + { + "epoch": 0.86, + "grad_norm": 1.9519957885538213, + "learning_rate": 1.0200801049174214e-06, + "loss": 0.8244, + "step": 36475 + }, + { + "epoch": 0.86, + "grad_norm": 1.6471473384104234, + "learning_rate": 1.019744383986998e-06, + "loss": 0.7838, + "step": 36476 + }, + { + "epoch": 0.86, + "grad_norm": 0.8194747116463953, + "learning_rate": 1.0194087153424648e-06, + "loss": 0.7659, + "step": 36477 + }, + { + "epoch": 0.86, + "grad_norm": 1.6456865808547003, + "learning_rate": 1.0190730989857777e-06, + "loss": 0.7767, + "step": 36478 + }, + { + "epoch": 0.86, + "grad_norm": 1.6368437529526325, + "learning_rate": 1.0187375349188887e-06, + "loss": 0.8426, + "step": 36479 + }, + { + "epoch": 0.86, + "grad_norm": 1.6522780800878716, + "learning_rate": 1.0184020231437564e-06, + "loss": 0.839, + "step": 36480 + }, + { + "epoch": 0.86, + "grad_norm": 1.826170310871454, + "learning_rate": 1.01806656366233e-06, + "loss": 0.9467, + "step": 36481 + }, + { + "epoch": 0.86, + "grad_norm": 1.949500534927905, + "learning_rate": 1.0177311564765612e-06, + "loss": 0.8093, + "step": 36482 + }, + { + "epoch": 0.86, + "grad_norm": 1.6326619492836503, + "learning_rate": 1.0173958015884066e-06, + "loss": 0.9644, + "step": 36483 + }, + { + "epoch": 0.86, + "grad_norm": 1.6630806006532428, + "learning_rate": 1.0170604989998189e-06, + "loss": 0.8312, + "step": 36484 + }, + { + "epoch": 0.86, + "grad_norm": 1.7601439043836773, + "learning_rate": 1.0167252487127488e-06, + "loss": 0.7422, + "step": 36485 + }, + { + "epoch": 0.86, + "grad_norm": 1.5566354166521699, + "learning_rate": 1.0163900507291457e-06, + "loss": 0.8726, + "step": 36486 + }, + { + "epoch": 0.86, + "grad_norm": 1.6020952914220392, + "learning_rate": 1.016054905050965e-06, + "loss": 0.8279, + "step": 36487 + }, + { + "epoch": 0.86, + "grad_norm": 1.562378443799015, + "learning_rate": 1.0157198116801592e-06, + "loss": 0.8062, + "step": 36488 + }, + { + "epoch": 0.86, + "grad_norm": 1.5082793054992172, + "learning_rate": 1.015384770618676e-06, + "loss": 0.9375, + "step": 36489 + }, + { + "epoch": 0.86, + "grad_norm": 1.7706876798747886, + "learning_rate": 1.0150497818684657e-06, + "loss": 0.7702, + "step": 36490 + }, + { + "epoch": 0.86, + "grad_norm": 1.7742727364242215, + "learning_rate": 1.0147148454314792e-06, + "loss": 0.8169, + "step": 36491 + }, + { + "epoch": 0.86, + "grad_norm": 1.5277995098172423, + "learning_rate": 1.0143799613096706e-06, + "loss": 0.7576, + "step": 36492 + }, + { + "epoch": 0.86, + "grad_norm": 1.7604194567893257, + "learning_rate": 1.014045129504987e-06, + "loss": 0.8723, + "step": 36493 + }, + { + "epoch": 0.86, + "grad_norm": 2.821357456855811, + "learning_rate": 1.0137103500193746e-06, + "loss": 0.9244, + "step": 36494 + }, + { + "epoch": 0.86, + "grad_norm": 3.624896447357125, + "learning_rate": 1.0133756228547875e-06, + "loss": 0.757, + "step": 36495 + }, + { + "epoch": 0.86, + "grad_norm": 1.6870967855964165, + "learning_rate": 1.013040948013172e-06, + "loss": 0.8089, + "step": 36496 + }, + { + "epoch": 0.86, + "grad_norm": 1.5267567418531944, + "learning_rate": 1.0127063254964776e-06, + "loss": 0.7699, + "step": 36497 + }, + { + "epoch": 0.86, + "grad_norm": 1.9263581126542344, + "learning_rate": 1.0123717553066515e-06, + "loss": 0.8609, + "step": 36498 + }, + { + "epoch": 0.86, + "grad_norm": 1.8120052997793565, + "learning_rate": 1.0120372374456445e-06, + "loss": 0.7361, + "step": 36499 + }, + { + "epoch": 0.86, + "grad_norm": 1.9264857001359337, + "learning_rate": 1.0117027719153993e-06, + "loss": 0.865, + "step": 36500 + }, + { + "epoch": 0.86, + "grad_norm": 1.6928019903557034, + "learning_rate": 1.011368358717867e-06, + "loss": 0.7756, + "step": 36501 + }, + { + "epoch": 0.86, + "grad_norm": 1.6137948316273099, + "learning_rate": 1.0110339978549977e-06, + "loss": 0.883, + "step": 36502 + }, + { + "epoch": 0.86, + "grad_norm": 1.8813791098206607, + "learning_rate": 1.0106996893287303e-06, + "loss": 0.7858, + "step": 36503 + }, + { + "epoch": 0.86, + "grad_norm": 3.518671151733234, + "learning_rate": 1.010365433141015e-06, + "loss": 0.8758, + "step": 36504 + }, + { + "epoch": 0.86, + "grad_norm": 0.7178486486405079, + "learning_rate": 1.0100312292937986e-06, + "loss": 0.722, + "step": 36505 + }, + { + "epoch": 0.86, + "grad_norm": 2.1659490813577813, + "learning_rate": 1.0096970777890302e-06, + "loss": 0.8714, + "step": 36506 + }, + { + "epoch": 0.86, + "grad_norm": 1.7315369397110278, + "learning_rate": 1.0093629786286475e-06, + "loss": 0.7769, + "step": 36507 + }, + { + "epoch": 0.86, + "grad_norm": 1.633921448867744, + "learning_rate": 1.0090289318146007e-06, + "loss": 0.8545, + "step": 36508 + }, + { + "epoch": 0.86, + "grad_norm": 1.639826242625966, + "learning_rate": 1.0086949373488352e-06, + "loss": 0.8236, + "step": 36509 + }, + { + "epoch": 0.86, + "grad_norm": 1.6575515708097854, + "learning_rate": 1.0083609952332928e-06, + "loss": 0.7533, + "step": 36510 + }, + { + "epoch": 0.86, + "grad_norm": 1.6796476520896104, + "learning_rate": 1.0080271054699208e-06, + "loss": 0.9483, + "step": 36511 + }, + { + "epoch": 0.86, + "grad_norm": 1.7735775380455503, + "learning_rate": 1.007693268060661e-06, + "loss": 0.8652, + "step": 36512 + }, + { + "epoch": 0.86, + "grad_norm": 1.8117469359896332, + "learning_rate": 1.0073594830074596e-06, + "loss": 0.8927, + "step": 36513 + }, + { + "epoch": 0.86, + "grad_norm": 1.5464015706806267, + "learning_rate": 1.007025750312256e-06, + "loss": 0.7515, + "step": 36514 + }, + { + "epoch": 0.86, + "grad_norm": 1.7309479352210335, + "learning_rate": 1.0066920699769966e-06, + "loss": 0.6796, + "step": 36515 + }, + { + "epoch": 0.86, + "grad_norm": 1.539795589197382, + "learning_rate": 1.0063584420036243e-06, + "loss": 0.7839, + "step": 36516 + }, + { + "epoch": 0.86, + "grad_norm": 2.6932646895096455, + "learning_rate": 1.0060248663940787e-06, + "loss": 0.9505, + "step": 36517 + }, + { + "epoch": 0.86, + "grad_norm": 1.7762565093677576, + "learning_rate": 1.0056913431503035e-06, + "loss": 0.9024, + "step": 36518 + }, + { + "epoch": 0.86, + "grad_norm": 1.5392567892154982, + "learning_rate": 1.005357872274243e-06, + "loss": 0.854, + "step": 36519 + }, + { + "epoch": 0.86, + "grad_norm": 1.6094558320134793, + "learning_rate": 1.0050244537678356e-06, + "loss": 0.9537, + "step": 36520 + }, + { + "epoch": 0.86, + "grad_norm": 2.001587630554041, + "learning_rate": 1.004691087633023e-06, + "loss": 0.8141, + "step": 36521 + }, + { + "epoch": 0.86, + "grad_norm": 2.2730113449297904, + "learning_rate": 1.0043577738717459e-06, + "loss": 0.7706, + "step": 36522 + }, + { + "epoch": 0.86, + "grad_norm": 1.7264397404767855, + "learning_rate": 1.0040245124859483e-06, + "loss": 0.7852, + "step": 36523 + }, + { + "epoch": 0.86, + "grad_norm": 1.473379428079174, + "learning_rate": 1.0036913034775675e-06, + "loss": 0.7514, + "step": 36524 + }, + { + "epoch": 0.86, + "grad_norm": 1.5246760016647813, + "learning_rate": 1.0033581468485422e-06, + "loss": 0.9064, + "step": 36525 + }, + { + "epoch": 0.86, + "grad_norm": 1.8055132625120862, + "learning_rate": 1.0030250426008148e-06, + "loss": 0.8022, + "step": 36526 + }, + { + "epoch": 0.86, + "grad_norm": 1.6847052489189436, + "learning_rate": 1.0026919907363252e-06, + "loss": 0.8894, + "step": 36527 + }, + { + "epoch": 0.86, + "grad_norm": 0.7179877866961105, + "learning_rate": 1.002358991257012e-06, + "loss": 0.6975, + "step": 36528 + }, + { + "epoch": 0.86, + "grad_norm": 0.735977135956567, + "learning_rate": 1.0020260441648111e-06, + "loss": 0.7173, + "step": 36529 + }, + { + "epoch": 0.86, + "grad_norm": 0.7406153080303639, + "learning_rate": 1.0016931494616644e-06, + "loss": 0.7291, + "step": 36530 + }, + { + "epoch": 0.86, + "grad_norm": 1.4600197615941022, + "learning_rate": 1.001360307149508e-06, + "loss": 0.844, + "step": 36531 + }, + { + "epoch": 0.86, + "grad_norm": 1.7021575360238277, + "learning_rate": 1.001027517230283e-06, + "loss": 0.7385, + "step": 36532 + }, + { + "epoch": 0.86, + "grad_norm": 1.5735075479938079, + "learning_rate": 1.000694779705922e-06, + "loss": 0.7706, + "step": 36533 + }, + { + "epoch": 0.86, + "grad_norm": 1.699455590157761, + "learning_rate": 1.0003620945783676e-06, + "loss": 0.8244, + "step": 36534 + }, + { + "epoch": 0.86, + "grad_norm": 1.667524938039279, + "learning_rate": 1.000029461849552e-06, + "loss": 0.8031, + "step": 36535 + }, + { + "epoch": 0.86, + "grad_norm": 1.6385004690075518, + "learning_rate": 9.99696881521417e-07, + "loss": 0.835, + "step": 36536 + }, + { + "epoch": 0.86, + "grad_norm": 1.4864164331979408, + "learning_rate": 9.993643535958952e-07, + "loss": 0.758, + "step": 36537 + }, + { + "epoch": 0.86, + "grad_norm": 1.6665881496888817, + "learning_rate": 9.990318780749219e-07, + "loss": 0.7916, + "step": 36538 + }, + { + "epoch": 0.86, + "grad_norm": 1.6888317263062333, + "learning_rate": 9.986994549604346e-07, + "loss": 0.7945, + "step": 36539 + }, + { + "epoch": 0.86, + "grad_norm": 0.736927946260951, + "learning_rate": 9.983670842543713e-07, + "loss": 0.6732, + "step": 36540 + }, + { + "epoch": 0.86, + "grad_norm": 1.3667761030868006, + "learning_rate": 9.980347659586643e-07, + "loss": 0.8604, + "step": 36541 + }, + { + "epoch": 0.86, + "grad_norm": 1.6400259810625086, + "learning_rate": 9.977025000752472e-07, + "loss": 0.8181, + "step": 36542 + }, + { + "epoch": 0.86, + "grad_norm": 1.5828204664606673, + "learning_rate": 9.973702866060565e-07, + "loss": 0.9511, + "step": 36543 + }, + { + "epoch": 0.86, + "grad_norm": 1.6645532433448815, + "learning_rate": 9.97038125553028e-07, + "loss": 0.9148, + "step": 36544 + }, + { + "epoch": 0.86, + "grad_norm": 1.5160530464212945, + "learning_rate": 9.96706016918093e-07, + "loss": 0.8546, + "step": 36545 + }, + { + "epoch": 0.86, + "grad_norm": 1.6534155166839972, + "learning_rate": 9.963739607031852e-07, + "loss": 0.9045, + "step": 36546 + }, + { + "epoch": 0.86, + "grad_norm": 1.4816896005013809, + "learning_rate": 9.960419569102375e-07, + "loss": 0.7685, + "step": 36547 + }, + { + "epoch": 0.86, + "grad_norm": 1.5039987585950483, + "learning_rate": 9.957100055411872e-07, + "loss": 0.8962, + "step": 36548 + }, + { + "epoch": 0.86, + "grad_norm": 1.6765587033214802, + "learning_rate": 9.95378106597964e-07, + "loss": 0.8408, + "step": 36549 + }, + { + "epoch": 0.86, + "grad_norm": 0.8219353025519619, + "learning_rate": 9.950462600824973e-07, + "loss": 0.7718, + "step": 36550 + }, + { + "epoch": 0.86, + "grad_norm": 1.6228268550396154, + "learning_rate": 9.947144659967245e-07, + "loss": 0.7641, + "step": 36551 + }, + { + "epoch": 0.86, + "grad_norm": 2.1838813590035704, + "learning_rate": 9.94382724342573e-07, + "loss": 0.764, + "step": 36552 + }, + { + "epoch": 0.86, + "grad_norm": 1.4442941191382686, + "learning_rate": 9.94051035121979e-07, + "loss": 0.787, + "step": 36553 + }, + { + "epoch": 0.86, + "grad_norm": 1.618733723458906, + "learning_rate": 9.937193983368688e-07, + "loss": 0.764, + "step": 36554 + }, + { + "epoch": 0.86, + "grad_norm": 2.2395200436236857, + "learning_rate": 9.933878139891772e-07, + "loss": 0.93, + "step": 36555 + }, + { + "epoch": 0.86, + "grad_norm": 1.4414163941619864, + "learning_rate": 9.93056282080832e-07, + "loss": 0.9029, + "step": 36556 + }, + { + "epoch": 0.86, + "grad_norm": 1.6661332191719065, + "learning_rate": 9.92724802613766e-07, + "loss": 0.8157, + "step": 36557 + }, + { + "epoch": 0.86, + "grad_norm": 1.7195147016974754, + "learning_rate": 9.923933755899062e-07, + "loss": 0.8912, + "step": 36558 + }, + { + "epoch": 0.86, + "grad_norm": 1.6501979681221766, + "learning_rate": 9.920620010111858e-07, + "loss": 0.7318, + "step": 36559 + }, + { + "epoch": 0.86, + "grad_norm": 1.858711508690711, + "learning_rate": 9.9173067887953e-07, + "loss": 0.8797, + "step": 36560 + }, + { + "epoch": 0.86, + "grad_norm": 0.7336981895509064, + "learning_rate": 9.913994091968725e-07, + "loss": 0.7252, + "step": 36561 + }, + { + "epoch": 0.86, + "grad_norm": 1.6663995347247345, + "learning_rate": 9.910681919651399e-07, + "loss": 0.8457, + "step": 36562 + }, + { + "epoch": 0.86, + "grad_norm": 1.5498172448745624, + "learning_rate": 9.907370271862582e-07, + "loss": 0.8739, + "step": 36563 + }, + { + "epoch": 0.86, + "grad_norm": 1.6606941133372206, + "learning_rate": 9.904059148621581e-07, + "loss": 0.8381, + "step": 36564 + }, + { + "epoch": 0.86, + "grad_norm": 1.987453285594018, + "learning_rate": 9.900748549947692e-07, + "loss": 0.8619, + "step": 36565 + }, + { + "epoch": 0.86, + "grad_norm": 1.582732864496659, + "learning_rate": 9.897438475860165e-07, + "loss": 0.8158, + "step": 36566 + }, + { + "epoch": 0.86, + "grad_norm": 0.7718423211431834, + "learning_rate": 9.894128926378255e-07, + "loss": 0.6792, + "step": 36567 + }, + { + "epoch": 0.86, + "grad_norm": 1.5904030811628256, + "learning_rate": 9.890819901521266e-07, + "loss": 0.7334, + "step": 36568 + }, + { + "epoch": 0.86, + "grad_norm": 1.6137180663182538, + "learning_rate": 9.887511401308458e-07, + "loss": 0.8283, + "step": 36569 + }, + { + "epoch": 0.86, + "grad_norm": 1.6022286575407594, + "learning_rate": 9.884203425759098e-07, + "loss": 0.7942, + "step": 36570 + }, + { + "epoch": 0.86, + "grad_norm": 1.8281774686077052, + "learning_rate": 9.880895974892413e-07, + "loss": 0.8125, + "step": 36571 + }, + { + "epoch": 0.86, + "grad_norm": 1.6898141517248244, + "learning_rate": 9.877589048727676e-07, + "loss": 0.8226, + "step": 36572 + }, + { + "epoch": 0.86, + "grad_norm": 1.5402180556372218, + "learning_rate": 9.874282647284173e-07, + "loss": 0.8606, + "step": 36573 + }, + { + "epoch": 0.86, + "grad_norm": 1.4900683188671073, + "learning_rate": 9.87097677058113e-07, + "loss": 0.8722, + "step": 36574 + }, + { + "epoch": 0.86, + "grad_norm": 1.5521401573254663, + "learning_rate": 9.86767141863777e-07, + "loss": 0.8653, + "step": 36575 + }, + { + "epoch": 0.86, + "grad_norm": 2.2106087428834016, + "learning_rate": 9.864366591473385e-07, + "loss": 0.9637, + "step": 36576 + }, + { + "epoch": 0.86, + "grad_norm": 1.544754917889809, + "learning_rate": 9.86106228910718e-07, + "loss": 0.7942, + "step": 36577 + }, + { + "epoch": 0.86, + "grad_norm": 1.8576849282571994, + "learning_rate": 9.857758511558423e-07, + "loss": 0.828, + "step": 36578 + }, + { + "epoch": 0.86, + "grad_norm": 1.599831475725738, + "learning_rate": 9.854455258846319e-07, + "loss": 0.8046, + "step": 36579 + }, + { + "epoch": 0.86, + "grad_norm": 2.5353770633316794, + "learning_rate": 9.851152530990127e-07, + "loss": 0.8341, + "step": 36580 + }, + { + "epoch": 0.86, + "grad_norm": 1.6387938280656087, + "learning_rate": 9.847850328009056e-07, + "loss": 0.8285, + "step": 36581 + }, + { + "epoch": 0.86, + "grad_norm": 1.3984955997525303, + "learning_rate": 9.844548649922358e-07, + "loss": 0.7619, + "step": 36582 + }, + { + "epoch": 0.86, + "grad_norm": 1.5406554015856087, + "learning_rate": 9.84124749674923e-07, + "loss": 0.8069, + "step": 36583 + }, + { + "epoch": 0.86, + "grad_norm": 1.6378824063553357, + "learning_rate": 9.837946868508897e-07, + "loss": 0.7598, + "step": 36584 + }, + { + "epoch": 0.86, + "grad_norm": 1.8253800343227535, + "learning_rate": 9.83464676522058e-07, + "loss": 0.8845, + "step": 36585 + }, + { + "epoch": 0.86, + "grad_norm": 1.6752703872278658, + "learning_rate": 9.831347186903495e-07, + "loss": 0.8981, + "step": 36586 + }, + { + "epoch": 0.86, + "grad_norm": 0.752695195592946, + "learning_rate": 9.828048133576884e-07, + "loss": 0.6905, + "step": 36587 + }, + { + "epoch": 0.86, + "grad_norm": 1.5146727380726235, + "learning_rate": 9.824749605259898e-07, + "loss": 0.851, + "step": 36588 + }, + { + "epoch": 0.86, + "grad_norm": 0.7513309047274406, + "learning_rate": 9.821451601971755e-07, + "loss": 0.6748, + "step": 36589 + }, + { + "epoch": 0.86, + "grad_norm": 1.7983313371291152, + "learning_rate": 9.818154123731704e-07, + "loss": 0.8553, + "step": 36590 + }, + { + "epoch": 0.86, + "grad_norm": 1.6950625733448907, + "learning_rate": 9.8148571705589e-07, + "loss": 0.8463, + "step": 36591 + }, + { + "epoch": 0.86, + "grad_norm": 1.9170186403932448, + "learning_rate": 9.811560742472537e-07, + "loss": 0.7313, + "step": 36592 + }, + { + "epoch": 0.86, + "grad_norm": 0.7665706290394236, + "learning_rate": 9.808264839491822e-07, + "loss": 0.7344, + "step": 36593 + }, + { + "epoch": 0.86, + "grad_norm": 1.886625118760147, + "learning_rate": 9.80496946163596e-07, + "loss": 0.8549, + "step": 36594 + }, + { + "epoch": 0.86, + "grad_norm": 1.779028175390486, + "learning_rate": 9.801674608924118e-07, + "loss": 0.8513, + "step": 36595 + }, + { + "epoch": 0.86, + "grad_norm": 0.8029410579167325, + "learning_rate": 9.798380281375463e-07, + "loss": 0.7533, + "step": 36596 + }, + { + "epoch": 0.86, + "grad_norm": 1.6875179389021093, + "learning_rate": 9.795086479009218e-07, + "loss": 0.8467, + "step": 36597 + }, + { + "epoch": 0.86, + "grad_norm": 1.791323119310869, + "learning_rate": 9.791793201844525e-07, + "loss": 0.7224, + "step": 36598 + }, + { + "epoch": 0.86, + "grad_norm": 1.7312691392529465, + "learning_rate": 9.788500449900563e-07, + "loss": 0.7815, + "step": 36599 + }, + { + "epoch": 0.86, + "grad_norm": 1.9778301786497776, + "learning_rate": 9.78520822319653e-07, + "loss": 0.8405, + "step": 36600 + }, + { + "epoch": 0.86, + "grad_norm": 1.757974152549496, + "learning_rate": 9.781916521751577e-07, + "loss": 0.7613, + "step": 36601 + }, + { + "epoch": 0.86, + "grad_norm": 1.6108853604947337, + "learning_rate": 9.778625345584857e-07, + "loss": 0.7335, + "step": 36602 + }, + { + "epoch": 0.86, + "grad_norm": 2.2032877675349973, + "learning_rate": 9.775334694715533e-07, + "loss": 0.8594, + "step": 36603 + }, + { + "epoch": 0.86, + "grad_norm": 1.533620362471742, + "learning_rate": 9.77204456916282e-07, + "loss": 0.943, + "step": 36604 + }, + { + "epoch": 0.86, + "grad_norm": 0.8096826846213232, + "learning_rate": 9.768754968945792e-07, + "loss": 0.6326, + "step": 36605 + }, + { + "epoch": 0.86, + "grad_norm": 1.7401016722066296, + "learning_rate": 9.765465894083637e-07, + "loss": 0.7611, + "step": 36606 + }, + { + "epoch": 0.86, + "grad_norm": 1.9174121146492717, + "learning_rate": 9.762177344595514e-07, + "loss": 0.9959, + "step": 36607 + }, + { + "epoch": 0.86, + "grad_norm": 1.6137347926939831, + "learning_rate": 9.758889320500575e-07, + "loss": 0.8069, + "step": 36608 + }, + { + "epoch": 0.86, + "grad_norm": 1.6269615969589015, + "learning_rate": 9.75560182181795e-07, + "loss": 0.7672, + "step": 36609 + }, + { + "epoch": 0.86, + "grad_norm": 1.6237396823257493, + "learning_rate": 9.75231484856677e-07, + "loss": 0.8203, + "step": 36610 + }, + { + "epoch": 0.86, + "grad_norm": 1.617984729740718, + "learning_rate": 9.749028400766191e-07, + "loss": 0.8344, + "step": 36611 + }, + { + "epoch": 0.86, + "grad_norm": 4.256523327233008, + "learning_rate": 9.745742478435339e-07, + "loss": 0.677, + "step": 36612 + }, + { + "epoch": 0.86, + "grad_norm": 1.878529825411479, + "learning_rate": 9.74245708159336e-07, + "loss": 0.8041, + "step": 36613 + }, + { + "epoch": 0.86, + "grad_norm": 1.5082292241282937, + "learning_rate": 9.73917221025935e-07, + "loss": 0.8367, + "step": 36614 + }, + { + "epoch": 0.86, + "grad_norm": 1.309584773147033, + "learning_rate": 9.735887864452476e-07, + "loss": 0.7943, + "step": 36615 + }, + { + "epoch": 0.86, + "grad_norm": 1.60088963161122, + "learning_rate": 9.732604044191818e-07, + "loss": 0.8962, + "step": 36616 + }, + { + "epoch": 0.86, + "grad_norm": 1.534868492603769, + "learning_rate": 9.72932074949654e-07, + "loss": 0.8397, + "step": 36617 + }, + { + "epoch": 0.86, + "grad_norm": 2.6373160298135425, + "learning_rate": 9.72603798038574e-07, + "loss": 0.9047, + "step": 36618 + }, + { + "epoch": 0.86, + "grad_norm": 1.9155609519511916, + "learning_rate": 9.722755736878498e-07, + "loss": 0.7934, + "step": 36619 + }, + { + "epoch": 0.86, + "grad_norm": 1.5760903032311635, + "learning_rate": 9.719474018993957e-07, + "loss": 0.8832, + "step": 36620 + }, + { + "epoch": 0.86, + "grad_norm": 1.4914885871695949, + "learning_rate": 9.716192826751246e-07, + "loss": 0.728, + "step": 36621 + }, + { + "epoch": 0.86, + "grad_norm": 1.475696649664668, + "learning_rate": 9.71291216016944e-07, + "loss": 0.8773, + "step": 36622 + }, + { + "epoch": 0.86, + "grad_norm": 1.4667728430595846, + "learning_rate": 9.709632019267624e-07, + "loss": 0.8025, + "step": 36623 + }, + { + "epoch": 0.86, + "grad_norm": 1.532064281229545, + "learning_rate": 9.706352404064911e-07, + "loss": 0.836, + "step": 36624 + }, + { + "epoch": 0.86, + "grad_norm": 1.7172414720145797, + "learning_rate": 9.703073314580425e-07, + "loss": 0.8567, + "step": 36625 + }, + { + "epoch": 0.86, + "grad_norm": 1.6174067253676945, + "learning_rate": 9.699794750833235e-07, + "loss": 0.8532, + "step": 36626 + }, + { + "epoch": 0.86, + "grad_norm": 2.5996273774548126, + "learning_rate": 9.696516712842407e-07, + "loss": 0.8323, + "step": 36627 + }, + { + "epoch": 0.86, + "grad_norm": 1.5030604945800765, + "learning_rate": 9.693239200627047e-07, + "loss": 0.7371, + "step": 36628 + }, + { + "epoch": 0.86, + "grad_norm": 1.5382054657510569, + "learning_rate": 9.68996221420626e-07, + "loss": 0.7289, + "step": 36629 + }, + { + "epoch": 0.86, + "grad_norm": 1.6362637584681365, + "learning_rate": 9.686685753599113e-07, + "loss": 0.8588, + "step": 36630 + }, + { + "epoch": 0.86, + "grad_norm": 1.396327679019121, + "learning_rate": 9.683409818824641e-07, + "loss": 0.764, + "step": 36631 + }, + { + "epoch": 0.86, + "grad_norm": 1.6706726351105983, + "learning_rate": 9.680134409901975e-07, + "loss": 0.844, + "step": 36632 + }, + { + "epoch": 0.86, + "grad_norm": 1.661026695725314, + "learning_rate": 9.676859526850145e-07, + "loss": 0.7607, + "step": 36633 + }, + { + "epoch": 0.86, + "grad_norm": 1.7315246948053555, + "learning_rate": 9.67358516968826e-07, + "loss": 0.8938, + "step": 36634 + }, + { + "epoch": 0.86, + "grad_norm": 1.930671843980738, + "learning_rate": 9.670311338435324e-07, + "loss": 0.762, + "step": 36635 + }, + { + "epoch": 0.86, + "grad_norm": 1.5920558862974428, + "learning_rate": 9.667038033110465e-07, + "loss": 0.7915, + "step": 36636 + }, + { + "epoch": 0.86, + "grad_norm": 1.5436281950795927, + "learning_rate": 9.663765253732682e-07, + "loss": 0.8988, + "step": 36637 + }, + { + "epoch": 0.86, + "grad_norm": 1.7868563648495763, + "learning_rate": 9.660493000321081e-07, + "loss": 0.7734, + "step": 36638 + }, + { + "epoch": 0.86, + "grad_norm": 1.985559091772205, + "learning_rate": 9.65722127289469e-07, + "loss": 0.7991, + "step": 36639 + }, + { + "epoch": 0.86, + "grad_norm": 1.5931862839708357, + "learning_rate": 9.65395007147254e-07, + "loss": 0.7113, + "step": 36640 + }, + { + "epoch": 0.86, + "grad_norm": 1.5300036655788172, + "learning_rate": 9.650679396073691e-07, + "loss": 0.7587, + "step": 36641 + }, + { + "epoch": 0.86, + "grad_norm": 1.508484922968597, + "learning_rate": 9.647409246717222e-07, + "loss": 0.7941, + "step": 36642 + }, + { + "epoch": 0.86, + "grad_norm": 1.6093302957689475, + "learning_rate": 9.644139623422132e-07, + "loss": 0.9338, + "step": 36643 + }, + { + "epoch": 0.86, + "grad_norm": 1.608843412091405, + "learning_rate": 9.640870526207445e-07, + "loss": 0.7561, + "step": 36644 + }, + { + "epoch": 0.86, + "grad_norm": 1.7390342645846424, + "learning_rate": 9.637601955092224e-07, + "loss": 0.7709, + "step": 36645 + }, + { + "epoch": 0.86, + "grad_norm": 2.060123987413368, + "learning_rate": 9.634333910095516e-07, + "loss": 0.8986, + "step": 36646 + }, + { + "epoch": 0.86, + "grad_norm": 1.8010183586367536, + "learning_rate": 9.63106639123632e-07, + "loss": 0.898, + "step": 36647 + }, + { + "epoch": 0.86, + "grad_norm": 1.6868370973622338, + "learning_rate": 9.627799398533644e-07, + "loss": 0.8599, + "step": 36648 + }, + { + "epoch": 0.86, + "grad_norm": 1.7668051520475418, + "learning_rate": 9.624532932006536e-07, + "loss": 0.9103, + "step": 36649 + }, + { + "epoch": 0.86, + "grad_norm": 1.853154152651222, + "learning_rate": 9.621266991674017e-07, + "loss": 0.7511, + "step": 36650 + }, + { + "epoch": 0.86, + "grad_norm": 2.1916809377095694, + "learning_rate": 9.618001577555113e-07, + "loss": 0.7911, + "step": 36651 + }, + { + "epoch": 0.86, + "grad_norm": 1.607778427086901, + "learning_rate": 9.61473668966879e-07, + "loss": 0.863, + "step": 36652 + }, + { + "epoch": 0.86, + "grad_norm": 1.6604041024801661, + "learning_rate": 9.6114723280341e-07, + "loss": 0.7625, + "step": 36653 + }, + { + "epoch": 0.86, + "grad_norm": 1.4895496188444768, + "learning_rate": 9.608208492670023e-07, + "loss": 0.8036, + "step": 36654 + }, + { + "epoch": 0.86, + "grad_norm": 1.5934368167243051, + "learning_rate": 9.604945183595593e-07, + "loss": 0.796, + "step": 36655 + }, + { + "epoch": 0.86, + "grad_norm": 1.621364320406896, + "learning_rate": 9.60168240082976e-07, + "loss": 0.7729, + "step": 36656 + }, + { + "epoch": 0.86, + "grad_norm": 1.5687737262716663, + "learning_rate": 9.598420144391585e-07, + "loss": 0.7259, + "step": 36657 + }, + { + "epoch": 0.86, + "grad_norm": 1.4870843148175694, + "learning_rate": 9.5951584143e-07, + "loss": 0.8448, + "step": 36658 + }, + { + "epoch": 0.86, + "grad_norm": 1.6509849936615975, + "learning_rate": 9.591897210574053e-07, + "loss": 0.8628, + "step": 36659 + }, + { + "epoch": 0.86, + "grad_norm": 1.627099676006706, + "learning_rate": 9.588636533232697e-07, + "loss": 0.8334, + "step": 36660 + }, + { + "epoch": 0.86, + "grad_norm": 1.6707992006054213, + "learning_rate": 9.585376382294898e-07, + "loss": 0.8614, + "step": 36661 + }, + { + "epoch": 0.86, + "grad_norm": 1.6174892100939071, + "learning_rate": 9.582116757779668e-07, + "loss": 0.8298, + "step": 36662 + }, + { + "epoch": 0.86, + "grad_norm": 1.6543637983677921, + "learning_rate": 9.57885765970601e-07, + "loss": 0.7995, + "step": 36663 + }, + { + "epoch": 0.86, + "grad_norm": 0.7629616324443375, + "learning_rate": 9.575599088092858e-07, + "loss": 0.6797, + "step": 36664 + }, + { + "epoch": 0.86, + "grad_norm": 1.5931602238956024, + "learning_rate": 9.572341042959177e-07, + "loss": 0.7123, + "step": 36665 + }, + { + "epoch": 0.86, + "grad_norm": 1.6090396546299695, + "learning_rate": 9.569083524323952e-07, + "loss": 0.7314, + "step": 36666 + }, + { + "epoch": 0.86, + "grad_norm": 1.6055901686808387, + "learning_rate": 9.56582653220618e-07, + "loss": 0.8779, + "step": 36667 + }, + { + "epoch": 0.86, + "grad_norm": 1.591870250959759, + "learning_rate": 9.562570066624788e-07, + "loss": 0.8388, + "step": 36668 + }, + { + "epoch": 0.86, + "grad_norm": 1.585765386029215, + "learning_rate": 9.55931412759874e-07, + "loss": 0.8112, + "step": 36669 + }, + { + "epoch": 0.86, + "grad_norm": 1.8431802599635723, + "learning_rate": 9.556058715146987e-07, + "loss": 0.7627, + "step": 36670 + }, + { + "epoch": 0.86, + "grad_norm": 1.899760984077001, + "learning_rate": 9.552803829288514e-07, + "loss": 0.6657, + "step": 36671 + }, + { + "epoch": 0.86, + "grad_norm": 1.7058859705646596, + "learning_rate": 9.549549470042251e-07, + "loss": 0.9406, + "step": 36672 + }, + { + "epoch": 0.86, + "grad_norm": 2.0874269409849737, + "learning_rate": 9.546295637427138e-07, + "loss": 0.9253, + "step": 36673 + }, + { + "epoch": 0.86, + "grad_norm": 0.7464344147196486, + "learning_rate": 9.543042331462139e-07, + "loss": 0.6592, + "step": 36674 + }, + { + "epoch": 0.86, + "grad_norm": 1.686889816567534, + "learning_rate": 9.539789552166167e-07, + "loss": 0.8229, + "step": 36675 + }, + { + "epoch": 0.86, + "grad_norm": 1.6442492683179724, + "learning_rate": 9.536537299558202e-07, + "loss": 0.728, + "step": 36676 + }, + { + "epoch": 0.86, + "grad_norm": 1.9117356211237815, + "learning_rate": 9.533285573657137e-07, + "loss": 0.84, + "step": 36677 + }, + { + "epoch": 0.86, + "grad_norm": 0.7959479281661299, + "learning_rate": 9.530034374481945e-07, + "loss": 0.6899, + "step": 36678 + }, + { + "epoch": 0.86, + "grad_norm": 1.8368401966004928, + "learning_rate": 9.526783702051512e-07, + "loss": 0.7596, + "step": 36679 + }, + { + "epoch": 0.86, + "grad_norm": 1.5524855837810043, + "learning_rate": 9.523533556384812e-07, + "loss": 0.8877, + "step": 36680 + }, + { + "epoch": 0.86, + "grad_norm": 1.4475922530871428, + "learning_rate": 9.520283937500718e-07, + "loss": 0.7516, + "step": 36681 + }, + { + "epoch": 0.86, + "grad_norm": 1.4764092504174642, + "learning_rate": 9.517034845418194e-07, + "loss": 0.8676, + "step": 36682 + }, + { + "epoch": 0.86, + "grad_norm": 1.672094872699308, + "learning_rate": 9.513786280156135e-07, + "loss": 0.889, + "step": 36683 + }, + { + "epoch": 0.86, + "grad_norm": 1.8347792514544148, + "learning_rate": 9.510538241733446e-07, + "loss": 0.9184, + "step": 36684 + }, + { + "epoch": 0.86, + "grad_norm": 1.522991644416518, + "learning_rate": 9.507290730169094e-07, + "loss": 0.8223, + "step": 36685 + }, + { + "epoch": 0.86, + "grad_norm": 1.4525744578298114, + "learning_rate": 9.504043745481905e-07, + "loss": 0.7488, + "step": 36686 + }, + { + "epoch": 0.86, + "grad_norm": 1.65297549585124, + "learning_rate": 9.500797287690833e-07, + "loss": 0.851, + "step": 36687 + }, + { + "epoch": 0.86, + "grad_norm": 2.040414737156845, + "learning_rate": 9.49755135681476e-07, + "loss": 0.767, + "step": 36688 + }, + { + "epoch": 0.86, + "grad_norm": 1.7218941802845158, + "learning_rate": 9.49430595287264e-07, + "loss": 0.8934, + "step": 36689 + }, + { + "epoch": 0.86, + "grad_norm": 1.6710582266550904, + "learning_rate": 9.491061075883279e-07, + "loss": 0.8129, + "step": 36690 + }, + { + "epoch": 0.86, + "grad_norm": 1.6169725082584616, + "learning_rate": 9.487816725865618e-07, + "loss": 0.9277, + "step": 36691 + }, + { + "epoch": 0.86, + "grad_norm": 1.5912787539658064, + "learning_rate": 9.484572902838563e-07, + "loss": 0.8731, + "step": 36692 + }, + { + "epoch": 0.86, + "grad_norm": 1.5647245031202686, + "learning_rate": 9.481329606820988e-07, + "loss": 0.8258, + "step": 36693 + }, + { + "epoch": 0.86, + "grad_norm": 1.739018024121555, + "learning_rate": 9.478086837831746e-07, + "loss": 0.7945, + "step": 36694 + }, + { + "epoch": 0.86, + "grad_norm": 1.6298142313778063, + "learning_rate": 9.474844595889743e-07, + "loss": 0.8444, + "step": 36695 + }, + { + "epoch": 0.86, + "grad_norm": 1.8197797558605797, + "learning_rate": 9.471602881013864e-07, + "loss": 0.7309, + "step": 36696 + }, + { + "epoch": 0.86, + "grad_norm": 0.7129435040959622, + "learning_rate": 9.468361693222972e-07, + "loss": 0.6857, + "step": 36697 + }, + { + "epoch": 0.86, + "grad_norm": 1.559636861009668, + "learning_rate": 9.46512103253594e-07, + "loss": 0.8641, + "step": 36698 + }, + { + "epoch": 0.86, + "grad_norm": 1.5849036503965388, + "learning_rate": 9.461880898971654e-07, + "loss": 0.8153, + "step": 36699 + }, + { + "epoch": 0.86, + "grad_norm": 1.5441835798370485, + "learning_rate": 9.458641292548931e-07, + "loss": 0.826, + "step": 36700 + }, + { + "epoch": 0.86, + "grad_norm": 1.521748191322866, + "learning_rate": 9.455402213286669e-07, + "loss": 0.8702, + "step": 36701 + }, + { + "epoch": 0.86, + "grad_norm": 1.6188970106144447, + "learning_rate": 9.452163661203728e-07, + "loss": 0.7605, + "step": 36702 + }, + { + "epoch": 0.86, + "grad_norm": 1.8114825468062459, + "learning_rate": 9.448925636318973e-07, + "loss": 0.9356, + "step": 36703 + }, + { + "epoch": 0.86, + "grad_norm": 1.559378817966965, + "learning_rate": 9.44568813865121e-07, + "loss": 0.7221, + "step": 36704 + }, + { + "epoch": 0.86, + "grad_norm": 0.7651894949028931, + "learning_rate": 9.442451168219325e-07, + "loss": 0.747, + "step": 36705 + }, + { + "epoch": 0.86, + "grad_norm": 1.7915795726430148, + "learning_rate": 9.439214725042178e-07, + "loss": 0.906, + "step": 36706 + }, + { + "epoch": 0.86, + "grad_norm": 2.215936199339943, + "learning_rate": 9.435978809138601e-07, + "loss": 0.8722, + "step": 36707 + }, + { + "epoch": 0.86, + "grad_norm": 1.6148175242003948, + "learning_rate": 9.432743420527401e-07, + "loss": 0.7592, + "step": 36708 + }, + { + "epoch": 0.86, + "grad_norm": 1.7128485083295604, + "learning_rate": 9.429508559227441e-07, + "loss": 0.9615, + "step": 36709 + }, + { + "epoch": 0.86, + "grad_norm": 1.5833688984315137, + "learning_rate": 9.426274225257582e-07, + "loss": 0.7086, + "step": 36710 + }, + { + "epoch": 0.86, + "grad_norm": 1.5901896023642221, + "learning_rate": 9.42304041863662e-07, + "loss": 0.7857, + "step": 36711 + }, + { + "epoch": 0.86, + "grad_norm": 2.1619766077828406, + "learning_rate": 9.419807139383374e-07, + "loss": 0.9194, + "step": 36712 + }, + { + "epoch": 0.86, + "grad_norm": 1.7458040750335049, + "learning_rate": 9.41657438751672e-07, + "loss": 0.8405, + "step": 36713 + }, + { + "epoch": 0.86, + "grad_norm": 0.7909252475137064, + "learning_rate": 9.413342163055416e-07, + "loss": 0.6749, + "step": 36714 + }, + { + "epoch": 0.86, + "grad_norm": 1.4631080482181646, + "learning_rate": 9.410110466018341e-07, + "loss": 0.8779, + "step": 36715 + }, + { + "epoch": 0.86, + "grad_norm": 1.456268476544034, + "learning_rate": 9.406879296424254e-07, + "loss": 0.7978, + "step": 36716 + }, + { + "epoch": 0.87, + "grad_norm": 1.5960771053190754, + "learning_rate": 9.403648654292019e-07, + "loss": 0.7622, + "step": 36717 + }, + { + "epoch": 0.87, + "grad_norm": 1.4841633455608838, + "learning_rate": 9.40041853964041e-07, + "loss": 0.7872, + "step": 36718 + }, + { + "epoch": 0.87, + "grad_norm": 1.5080621097489302, + "learning_rate": 9.397188952488267e-07, + "loss": 0.7016, + "step": 36719 + }, + { + "epoch": 0.87, + "grad_norm": 1.6601275092680474, + "learning_rate": 9.393959892854366e-07, + "loss": 0.7594, + "step": 36720 + }, + { + "epoch": 0.87, + "grad_norm": 1.5842616948841737, + "learning_rate": 9.39073136075751e-07, + "loss": 0.7853, + "step": 36721 + }, + { + "epoch": 0.87, + "grad_norm": 0.791944743354026, + "learning_rate": 9.387503356216488e-07, + "loss": 0.6982, + "step": 36722 + }, + { + "epoch": 0.87, + "grad_norm": 1.5576010569048127, + "learning_rate": 9.384275879250138e-07, + "loss": 0.6751, + "step": 36723 + }, + { + "epoch": 0.87, + "grad_norm": 1.653025629198105, + "learning_rate": 9.381048929877223e-07, + "loss": 0.8362, + "step": 36724 + }, + { + "epoch": 0.87, + "grad_norm": 1.5846482111332179, + "learning_rate": 9.377822508116507e-07, + "loss": 0.6605, + "step": 36725 + }, + { + "epoch": 0.87, + "grad_norm": 0.7295502868086795, + "learning_rate": 9.374596613986797e-07, + "loss": 0.6619, + "step": 36726 + }, + { + "epoch": 0.87, + "grad_norm": 1.5454763032970205, + "learning_rate": 9.371371247506899e-07, + "loss": 0.7276, + "step": 36727 + }, + { + "epoch": 0.87, + "grad_norm": 1.5276032068747656, + "learning_rate": 9.368146408695566e-07, + "loss": 0.8399, + "step": 36728 + }, + { + "epoch": 0.87, + "grad_norm": 1.493671108592812, + "learning_rate": 9.364922097571572e-07, + "loss": 0.8171, + "step": 36729 + }, + { + "epoch": 0.87, + "grad_norm": 1.7824900712882568, + "learning_rate": 9.361698314153678e-07, + "loss": 0.79, + "step": 36730 + }, + { + "epoch": 0.87, + "grad_norm": 1.5366280112445698, + "learning_rate": 9.358475058460704e-07, + "loss": 0.9015, + "step": 36731 + }, + { + "epoch": 0.87, + "grad_norm": 1.4090867023842015, + "learning_rate": 9.355252330511377e-07, + "loss": 0.8065, + "step": 36732 + }, + { + "epoch": 0.87, + "grad_norm": 1.6337628321129565, + "learning_rate": 9.352030130324463e-07, + "loss": 1.0177, + "step": 36733 + }, + { + "epoch": 0.87, + "grad_norm": 0.7848543618258912, + "learning_rate": 9.348808457918734e-07, + "loss": 0.7403, + "step": 36734 + }, + { + "epoch": 0.87, + "grad_norm": 0.764850589086426, + "learning_rate": 9.345587313312921e-07, + "loss": 0.69, + "step": 36735 + }, + { + "epoch": 0.87, + "grad_norm": 0.7229723930734713, + "learning_rate": 9.342366696525829e-07, + "loss": 0.6355, + "step": 36736 + }, + { + "epoch": 0.87, + "grad_norm": 1.668495013995285, + "learning_rate": 9.339146607576155e-07, + "loss": 0.8847, + "step": 36737 + }, + { + "epoch": 0.87, + "grad_norm": 1.8604816638767439, + "learning_rate": 9.335927046482695e-07, + "loss": 0.8408, + "step": 36738 + }, + { + "epoch": 0.87, + "grad_norm": 1.5396302355750504, + "learning_rate": 9.332708013264147e-07, + "loss": 0.7666, + "step": 36739 + }, + { + "epoch": 0.87, + "grad_norm": 1.9308709628178093, + "learning_rate": 9.329489507939304e-07, + "loss": 0.7882, + "step": 36740 + }, + { + "epoch": 0.87, + "grad_norm": 1.6302431485824673, + "learning_rate": 9.326271530526865e-07, + "loss": 0.9181, + "step": 36741 + }, + { + "epoch": 0.87, + "grad_norm": 1.798056494219948, + "learning_rate": 9.323054081045579e-07, + "loss": 0.8103, + "step": 36742 + }, + { + "epoch": 0.87, + "grad_norm": 1.7539302051953674, + "learning_rate": 9.319837159514167e-07, + "loss": 0.9499, + "step": 36743 + }, + { + "epoch": 0.87, + "grad_norm": 1.5765768936540918, + "learning_rate": 9.31662076595139e-07, + "loss": 0.8171, + "step": 36744 + }, + { + "epoch": 0.87, + "grad_norm": 1.6371047524932736, + "learning_rate": 9.313404900375966e-07, + "loss": 0.7675, + "step": 36745 + }, + { + "epoch": 0.87, + "grad_norm": 1.5837129477638772, + "learning_rate": 9.310189562806582e-07, + "loss": 0.7679, + "step": 36746 + }, + { + "epoch": 0.87, + "grad_norm": 1.684359846840804, + "learning_rate": 9.306974753261999e-07, + "loss": 0.8529, + "step": 36747 + }, + { + "epoch": 0.87, + "grad_norm": 1.6319637414937247, + "learning_rate": 9.303760471760925e-07, + "loss": 0.8805, + "step": 36748 + }, + { + "epoch": 0.87, + "grad_norm": 1.505406855667415, + "learning_rate": 9.300546718322079e-07, + "loss": 0.7764, + "step": 36749 + }, + { + "epoch": 0.87, + "grad_norm": 1.5314871866009634, + "learning_rate": 9.297333492964144e-07, + "loss": 0.864, + "step": 36750 + }, + { + "epoch": 0.87, + "grad_norm": 2.7808549823058493, + "learning_rate": 9.294120795705852e-07, + "loss": 0.7993, + "step": 36751 + }, + { + "epoch": 0.87, + "grad_norm": 1.7930959878479964, + "learning_rate": 9.290908626565931e-07, + "loss": 0.7689, + "step": 36752 + }, + { + "epoch": 0.87, + "grad_norm": 1.7286878584362395, + "learning_rate": 9.287696985563044e-07, + "loss": 0.7631, + "step": 36753 + }, + { + "epoch": 0.87, + "grad_norm": 2.016253394919574, + "learning_rate": 9.284485872715898e-07, + "loss": 0.7488, + "step": 36754 + }, + { + "epoch": 0.87, + "grad_norm": 1.6359570842647375, + "learning_rate": 9.281275288043212e-07, + "loss": 0.8363, + "step": 36755 + }, + { + "epoch": 0.87, + "grad_norm": 0.7625889161301889, + "learning_rate": 9.278065231563637e-07, + "loss": 0.7081, + "step": 36756 + }, + { + "epoch": 0.87, + "grad_norm": 1.4388229048022128, + "learning_rate": 9.274855703295904e-07, + "loss": 0.7627, + "step": 36757 + }, + { + "epoch": 0.87, + "grad_norm": 1.7336691442177774, + "learning_rate": 9.271646703258674e-07, + "loss": 0.954, + "step": 36758 + }, + { + "epoch": 0.87, + "grad_norm": 1.874876350293754, + "learning_rate": 9.268438231470656e-07, + "loss": 0.8483, + "step": 36759 + }, + { + "epoch": 0.87, + "grad_norm": 1.4864910165081566, + "learning_rate": 9.265230287950499e-07, + "loss": 0.8303, + "step": 36760 + }, + { + "epoch": 0.87, + "grad_norm": 2.0185899591559346, + "learning_rate": 9.262022872716914e-07, + "loss": 0.8135, + "step": 36761 + }, + { + "epoch": 0.87, + "grad_norm": 1.454232098478635, + "learning_rate": 9.25881598578856e-07, + "loss": 0.8271, + "step": 36762 + }, + { + "epoch": 0.87, + "grad_norm": 1.553948540235552, + "learning_rate": 9.255609627184092e-07, + "loss": 0.8703, + "step": 36763 + }, + { + "epoch": 0.87, + "grad_norm": 1.828542880252006, + "learning_rate": 9.252403796922193e-07, + "loss": 0.7476, + "step": 36764 + }, + { + "epoch": 0.87, + "grad_norm": 0.8307393062338292, + "learning_rate": 9.249198495021549e-07, + "loss": 0.7484, + "step": 36765 + }, + { + "epoch": 0.87, + "grad_norm": 1.4520177544686734, + "learning_rate": 9.245993721500801e-07, + "loss": 0.6862, + "step": 36766 + }, + { + "epoch": 0.87, + "grad_norm": 1.5538591217604047, + "learning_rate": 9.242789476378589e-07, + "loss": 0.8316, + "step": 36767 + }, + { + "epoch": 0.87, + "grad_norm": 1.8837913450567894, + "learning_rate": 9.239585759673586e-07, + "loss": 0.8969, + "step": 36768 + }, + { + "epoch": 0.87, + "grad_norm": 1.6523274885434533, + "learning_rate": 9.236382571404478e-07, + "loss": 0.7955, + "step": 36769 + }, + { + "epoch": 0.87, + "grad_norm": 1.595457022938621, + "learning_rate": 9.233179911589874e-07, + "loss": 0.8895, + "step": 36770 + }, + { + "epoch": 0.87, + "grad_norm": 1.66580119379759, + "learning_rate": 9.229977780248423e-07, + "loss": 0.6907, + "step": 36771 + }, + { + "epoch": 0.87, + "grad_norm": 2.0532195909814033, + "learning_rate": 9.226776177398778e-07, + "loss": 0.7576, + "step": 36772 + }, + { + "epoch": 0.87, + "grad_norm": 1.7416992241640468, + "learning_rate": 9.223575103059601e-07, + "loss": 0.9023, + "step": 36773 + }, + { + "epoch": 0.87, + "grad_norm": 1.9223276450330393, + "learning_rate": 9.2203745572495e-07, + "loss": 0.919, + "step": 36774 + }, + { + "epoch": 0.87, + "grad_norm": 1.5444839009845344, + "learning_rate": 9.217174539987106e-07, + "loss": 0.7753, + "step": 36775 + }, + { + "epoch": 0.87, + "grad_norm": 1.4925417938803398, + "learning_rate": 9.21397505129108e-07, + "loss": 0.7873, + "step": 36776 + }, + { + "epoch": 0.87, + "grad_norm": 1.4651105866186365, + "learning_rate": 9.210776091180018e-07, + "loss": 0.8105, + "step": 36777 + }, + { + "epoch": 0.87, + "grad_norm": 1.6136583118050807, + "learning_rate": 9.207577659672573e-07, + "loss": 0.7168, + "step": 36778 + }, + { + "epoch": 0.87, + "grad_norm": 1.6208915384692544, + "learning_rate": 9.204379756787341e-07, + "loss": 0.9055, + "step": 36779 + }, + { + "epoch": 0.87, + "grad_norm": 1.4705186910048922, + "learning_rate": 9.201182382542983e-07, + "loss": 0.791, + "step": 36780 + }, + { + "epoch": 0.87, + "grad_norm": 2.517910757426711, + "learning_rate": 9.197985536958054e-07, + "loss": 0.9067, + "step": 36781 + }, + { + "epoch": 0.87, + "grad_norm": 1.7652493975943289, + "learning_rate": 9.194789220051214e-07, + "loss": 0.8845, + "step": 36782 + }, + { + "epoch": 0.87, + "grad_norm": 1.4479968676050143, + "learning_rate": 9.191593431841084e-07, + "loss": 0.7557, + "step": 36783 + }, + { + "epoch": 0.87, + "grad_norm": 1.7429711437960975, + "learning_rate": 9.188398172346214e-07, + "loss": 0.8412, + "step": 36784 + }, + { + "epoch": 0.87, + "grad_norm": 1.4650437214970806, + "learning_rate": 9.185203441585244e-07, + "loss": 0.7819, + "step": 36785 + }, + { + "epoch": 0.87, + "grad_norm": 1.5560109056370361, + "learning_rate": 9.182009239576773e-07, + "loss": 0.9685, + "step": 36786 + }, + { + "epoch": 0.87, + "grad_norm": 1.7726299088765103, + "learning_rate": 9.178815566339427e-07, + "loss": 0.7642, + "step": 36787 + }, + { + "epoch": 0.87, + "grad_norm": 0.744061166553845, + "learning_rate": 9.175622421891738e-07, + "loss": 0.7305, + "step": 36788 + }, + { + "epoch": 0.87, + "grad_norm": 1.7192412065981086, + "learning_rate": 9.172429806252325e-07, + "loss": 0.8662, + "step": 36789 + }, + { + "epoch": 0.87, + "grad_norm": 1.6438481291113227, + "learning_rate": 9.169237719439805e-07, + "loss": 0.7945, + "step": 36790 + }, + { + "epoch": 0.87, + "grad_norm": 1.9708722501461344, + "learning_rate": 9.16604616147273e-07, + "loss": 0.7172, + "step": 36791 + }, + { + "epoch": 0.87, + "grad_norm": 1.5154732543015628, + "learning_rate": 9.162855132369686e-07, + "loss": 0.7892, + "step": 36792 + }, + { + "epoch": 0.87, + "grad_norm": 1.6665185185798297, + "learning_rate": 9.159664632149245e-07, + "loss": 0.9195, + "step": 36793 + }, + { + "epoch": 0.87, + "grad_norm": 1.4867767359032695, + "learning_rate": 9.156474660830028e-07, + "loss": 0.7485, + "step": 36794 + }, + { + "epoch": 0.87, + "grad_norm": 1.6540915776896559, + "learning_rate": 9.153285218430552e-07, + "loss": 0.9117, + "step": 36795 + }, + { + "epoch": 0.87, + "grad_norm": 1.8482969977681842, + "learning_rate": 9.150096304969425e-07, + "loss": 0.8514, + "step": 36796 + }, + { + "epoch": 0.87, + "grad_norm": 1.6982822404749465, + "learning_rate": 9.146907920465197e-07, + "loss": 0.7384, + "step": 36797 + }, + { + "epoch": 0.87, + "grad_norm": 1.8960288910641094, + "learning_rate": 9.143720064936423e-07, + "loss": 0.7272, + "step": 36798 + }, + { + "epoch": 0.87, + "grad_norm": 1.8385251046303268, + "learning_rate": 9.140532738401675e-07, + "loss": 0.807, + "step": 36799 + }, + { + "epoch": 0.87, + "grad_norm": 1.6720558397640135, + "learning_rate": 9.137345940879538e-07, + "loss": 0.9084, + "step": 36800 + }, + { + "epoch": 0.87, + "grad_norm": 0.7859729238106994, + "learning_rate": 9.134159672388531e-07, + "loss": 0.7067, + "step": 36801 + }, + { + "epoch": 0.87, + "grad_norm": 1.5725221809801169, + "learning_rate": 9.130973932947196e-07, + "loss": 0.9339, + "step": 36802 + }, + { + "epoch": 0.87, + "grad_norm": 1.7919133986594054, + "learning_rate": 9.127788722574094e-07, + "loss": 0.9705, + "step": 36803 + }, + { + "epoch": 0.87, + "grad_norm": 2.1526457738324636, + "learning_rate": 9.124604041287799e-07, + "loss": 0.8769, + "step": 36804 + }, + { + "epoch": 0.87, + "grad_norm": 1.5230265332420043, + "learning_rate": 9.121419889106831e-07, + "loss": 0.777, + "step": 36805 + }, + { + "epoch": 0.87, + "grad_norm": 1.7542765002290106, + "learning_rate": 9.118236266049707e-07, + "loss": 0.7218, + "step": 36806 + }, + { + "epoch": 0.87, + "grad_norm": 5.1009849041364, + "learning_rate": 9.115053172134991e-07, + "loss": 0.8766, + "step": 36807 + }, + { + "epoch": 0.87, + "grad_norm": 1.439391574892687, + "learning_rate": 9.111870607381223e-07, + "loss": 0.6715, + "step": 36808 + }, + { + "epoch": 0.87, + "grad_norm": 1.5479161884365036, + "learning_rate": 9.108688571806912e-07, + "loss": 0.9303, + "step": 36809 + }, + { + "epoch": 0.87, + "grad_norm": 1.443675469329107, + "learning_rate": 9.105507065430586e-07, + "loss": 0.724, + "step": 36810 + }, + { + "epoch": 0.87, + "grad_norm": 1.5662416723539532, + "learning_rate": 9.102326088270763e-07, + "loss": 0.867, + "step": 36811 + }, + { + "epoch": 0.87, + "grad_norm": 1.6506186877381541, + "learning_rate": 9.099145640346007e-07, + "loss": 0.8717, + "step": 36812 + }, + { + "epoch": 0.87, + "grad_norm": 1.65480444283937, + "learning_rate": 9.095965721674793e-07, + "loss": 0.8391, + "step": 36813 + }, + { + "epoch": 0.87, + "grad_norm": 1.6038411816340254, + "learning_rate": 9.092786332275627e-07, + "loss": 0.8424, + "step": 36814 + }, + { + "epoch": 0.87, + "grad_norm": 1.74600837717694, + "learning_rate": 9.089607472167061e-07, + "loss": 0.9585, + "step": 36815 + }, + { + "epoch": 0.87, + "grad_norm": 0.7531687249840794, + "learning_rate": 9.08642914136757e-07, + "loss": 0.717, + "step": 36816 + }, + { + "epoch": 0.87, + "grad_norm": 1.6072037185848387, + "learning_rate": 9.083251339895682e-07, + "loss": 0.8102, + "step": 36817 + }, + { + "epoch": 0.87, + "grad_norm": 1.4253845922947985, + "learning_rate": 9.080074067769872e-07, + "loss": 0.7738, + "step": 36818 + }, + { + "epoch": 0.87, + "grad_norm": 1.667214983136517, + "learning_rate": 9.076897325008671e-07, + "loss": 0.921, + "step": 36819 + }, + { + "epoch": 0.87, + "grad_norm": 1.599239140441366, + "learning_rate": 9.073721111630552e-07, + "loss": 0.7209, + "step": 36820 + }, + { + "epoch": 0.87, + "grad_norm": 1.8457407464376216, + "learning_rate": 9.070545427654021e-07, + "loss": 0.7721, + "step": 36821 + }, + { + "epoch": 0.87, + "grad_norm": 0.7558206041490533, + "learning_rate": 9.067370273097575e-07, + "loss": 0.7083, + "step": 36822 + }, + { + "epoch": 0.87, + "grad_norm": 1.6450297702133518, + "learning_rate": 9.064195647979656e-07, + "loss": 0.8715, + "step": 36823 + }, + { + "epoch": 0.87, + "grad_norm": 1.8878737514921997, + "learning_rate": 9.061021552318783e-07, + "loss": 0.8665, + "step": 36824 + }, + { + "epoch": 0.87, + "grad_norm": 1.643798366230988, + "learning_rate": 9.057847986133461e-07, + "loss": 0.7253, + "step": 36825 + }, + { + "epoch": 0.87, + "grad_norm": 1.7649158512725542, + "learning_rate": 9.054674949442132e-07, + "loss": 0.8447, + "step": 36826 + }, + { + "epoch": 0.87, + "grad_norm": 1.6169384110029583, + "learning_rate": 9.05150244226326e-07, + "loss": 0.8134, + "step": 36827 + }, + { + "epoch": 0.87, + "grad_norm": 1.5580441589084744, + "learning_rate": 9.04833046461534e-07, + "loss": 0.7275, + "step": 36828 + }, + { + "epoch": 0.87, + "grad_norm": 1.6978629433691643, + "learning_rate": 9.045159016516847e-07, + "loss": 0.8176, + "step": 36829 + }, + { + "epoch": 0.87, + "grad_norm": 1.5440299943344518, + "learning_rate": 9.041988097986232e-07, + "loss": 0.7905, + "step": 36830 + }, + { + "epoch": 0.87, + "grad_norm": 1.6918158317299377, + "learning_rate": 9.038817709041947e-07, + "loss": 0.8611, + "step": 36831 + }, + { + "epoch": 0.87, + "grad_norm": 1.825994693398904, + "learning_rate": 9.035647849702467e-07, + "loss": 0.8239, + "step": 36832 + }, + { + "epoch": 0.87, + "grad_norm": 1.791614617750113, + "learning_rate": 9.032478519986254e-07, + "loss": 0.7279, + "step": 36833 + }, + { + "epoch": 0.87, + "grad_norm": 2.3077098911911946, + "learning_rate": 9.02930971991175e-07, + "loss": 0.8802, + "step": 36834 + }, + { + "epoch": 0.87, + "grad_norm": 1.615086709995255, + "learning_rate": 9.026141449497394e-07, + "loss": 0.826, + "step": 36835 + }, + { + "epoch": 0.87, + "grad_norm": 1.5318569031622697, + "learning_rate": 9.022973708761662e-07, + "loss": 0.8447, + "step": 36836 + }, + { + "epoch": 0.87, + "grad_norm": 1.5619308758601749, + "learning_rate": 9.019806497722961e-07, + "loss": 0.804, + "step": 36837 + }, + { + "epoch": 0.87, + "grad_norm": 2.099625074139387, + "learning_rate": 9.016639816399764e-07, + "loss": 0.9278, + "step": 36838 + }, + { + "epoch": 0.87, + "grad_norm": 1.5055384299513728, + "learning_rate": 9.013473664810479e-07, + "loss": 0.7813, + "step": 36839 + }, + { + "epoch": 0.87, + "grad_norm": 1.5168324419593453, + "learning_rate": 9.01030804297357e-07, + "loss": 0.6527, + "step": 36840 + }, + { + "epoch": 0.87, + "grad_norm": 2.0172012874767744, + "learning_rate": 9.007142950907444e-07, + "loss": 0.816, + "step": 36841 + }, + { + "epoch": 0.87, + "grad_norm": 1.6354855812087128, + "learning_rate": 9.003978388630552e-07, + "loss": 0.9924, + "step": 36842 + }, + { + "epoch": 0.87, + "grad_norm": 0.7763598409865929, + "learning_rate": 9.000814356161314e-07, + "loss": 0.7218, + "step": 36843 + }, + { + "epoch": 0.87, + "grad_norm": 1.5219908874748875, + "learning_rate": 8.997650853518125e-07, + "loss": 0.8613, + "step": 36844 + }, + { + "epoch": 0.87, + "grad_norm": 0.7451645561217655, + "learning_rate": 8.994487880719415e-07, + "loss": 0.6675, + "step": 36845 + }, + { + "epoch": 0.87, + "grad_norm": 1.6940707692669068, + "learning_rate": 8.991325437783627e-07, + "loss": 0.779, + "step": 36846 + }, + { + "epoch": 0.87, + "grad_norm": 1.6020362912426434, + "learning_rate": 8.988163524729165e-07, + "loss": 0.7734, + "step": 36847 + }, + { + "epoch": 0.87, + "grad_norm": 1.866800870604748, + "learning_rate": 8.985002141574406e-07, + "loss": 0.6858, + "step": 36848 + }, + { + "epoch": 0.87, + "grad_norm": 1.7295590173193662, + "learning_rate": 8.981841288337778e-07, + "loss": 0.8248, + "step": 36849 + }, + { + "epoch": 0.87, + "grad_norm": 1.8172156906872812, + "learning_rate": 8.978680965037712e-07, + "loss": 0.8075, + "step": 36850 + }, + { + "epoch": 0.87, + "grad_norm": 1.7934505132195302, + "learning_rate": 8.975521171692569e-07, + "loss": 0.7879, + "step": 36851 + }, + { + "epoch": 0.87, + "grad_norm": 0.753005542456233, + "learning_rate": 8.972361908320748e-07, + "loss": 0.72, + "step": 36852 + }, + { + "epoch": 0.87, + "grad_norm": 0.7236277409997117, + "learning_rate": 8.969203174940655e-07, + "loss": 0.7124, + "step": 36853 + }, + { + "epoch": 0.87, + "grad_norm": 1.7461951648246525, + "learning_rate": 8.966044971570698e-07, + "loss": 0.8173, + "step": 36854 + }, + { + "epoch": 0.87, + "grad_norm": 0.7543076146850641, + "learning_rate": 8.96288729822925e-07, + "loss": 0.7423, + "step": 36855 + }, + { + "epoch": 0.87, + "grad_norm": 2.026387200156168, + "learning_rate": 8.959730154934676e-07, + "loss": 0.9244, + "step": 36856 + }, + { + "epoch": 0.87, + "grad_norm": 1.779245396353811, + "learning_rate": 8.956573541705393e-07, + "loss": 0.8068, + "step": 36857 + }, + { + "epoch": 0.87, + "grad_norm": 1.6187518722118777, + "learning_rate": 8.953417458559743e-07, + "loss": 0.7908, + "step": 36858 + }, + { + "epoch": 0.87, + "grad_norm": 1.569367321757818, + "learning_rate": 8.950261905516145e-07, + "loss": 0.8275, + "step": 36859 + }, + { + "epoch": 0.87, + "grad_norm": 1.6187847336113026, + "learning_rate": 8.947106882592927e-07, + "loss": 0.8617, + "step": 36860 + }, + { + "epoch": 0.87, + "grad_norm": 1.8283088243776302, + "learning_rate": 8.943952389808497e-07, + "loss": 0.8768, + "step": 36861 + }, + { + "epoch": 0.87, + "grad_norm": 1.5350194772012447, + "learning_rate": 8.940798427181185e-07, + "loss": 0.7459, + "step": 36862 + }, + { + "epoch": 0.87, + "grad_norm": 1.6488689106428474, + "learning_rate": 8.937644994729388e-07, + "loss": 0.8692, + "step": 36863 + }, + { + "epoch": 0.87, + "grad_norm": 1.5809984471611747, + "learning_rate": 8.934492092471459e-07, + "loss": 0.8535, + "step": 36864 + }, + { + "epoch": 0.87, + "grad_norm": 1.5303755174146547, + "learning_rate": 8.931339720425725e-07, + "loss": 0.7688, + "step": 36865 + }, + { + "epoch": 0.87, + "grad_norm": 1.6559778215275065, + "learning_rate": 8.928187878610561e-07, + "loss": 0.8497, + "step": 36866 + }, + { + "epoch": 0.87, + "grad_norm": 1.5478718119644508, + "learning_rate": 8.925036567044332e-07, + "loss": 0.8278, + "step": 36867 + }, + { + "epoch": 0.87, + "grad_norm": 0.7461712363834183, + "learning_rate": 8.921885785745399e-07, + "loss": 0.6864, + "step": 36868 + }, + { + "epoch": 0.87, + "grad_norm": 1.6840678998263554, + "learning_rate": 8.918735534732048e-07, + "loss": 0.7151, + "step": 36869 + }, + { + "epoch": 0.87, + "grad_norm": 1.905070841676744, + "learning_rate": 8.915585814022653e-07, + "loss": 0.7293, + "step": 36870 + }, + { + "epoch": 0.87, + "grad_norm": 1.698036038030639, + "learning_rate": 8.912436623635579e-07, + "loss": 0.8568, + "step": 36871 + }, + { + "epoch": 0.87, + "grad_norm": 1.6919729274487794, + "learning_rate": 8.90928796358913e-07, + "loss": 1.0899, + "step": 36872 + }, + { + "epoch": 0.87, + "grad_norm": 1.4655547829351967, + "learning_rate": 8.906139833901629e-07, + "loss": 0.7044, + "step": 36873 + }, + { + "epoch": 0.87, + "grad_norm": 1.7824461777471547, + "learning_rate": 8.902992234591424e-07, + "loss": 0.965, + "step": 36874 + }, + { + "epoch": 0.87, + "grad_norm": 1.6044722616305909, + "learning_rate": 8.899845165676857e-07, + "loss": 0.7064, + "step": 36875 + }, + { + "epoch": 0.87, + "grad_norm": 1.6919338638720882, + "learning_rate": 8.896698627176226e-07, + "loss": 0.8941, + "step": 36876 + }, + { + "epoch": 0.87, + "grad_norm": 1.780179130040416, + "learning_rate": 8.893552619107848e-07, + "loss": 0.8308, + "step": 36877 + }, + { + "epoch": 0.87, + "grad_norm": 2.28926024070071, + "learning_rate": 8.890407141490065e-07, + "loss": 0.7009, + "step": 36878 + }, + { + "epoch": 0.87, + "grad_norm": 1.7027386344972402, + "learning_rate": 8.887262194341162e-07, + "loss": 0.9692, + "step": 36879 + }, + { + "epoch": 0.87, + "grad_norm": 0.74063457369684, + "learning_rate": 8.884117777679458e-07, + "loss": 0.6446, + "step": 36880 + }, + { + "epoch": 0.87, + "grad_norm": 1.6802799454956745, + "learning_rate": 8.880973891523292e-07, + "loss": 0.8882, + "step": 36881 + }, + { + "epoch": 0.87, + "grad_norm": 1.5797522966903512, + "learning_rate": 8.877830535890941e-07, + "loss": 0.9479, + "step": 36882 + }, + { + "epoch": 0.87, + "grad_norm": 1.6675682634696267, + "learning_rate": 8.874687710800689e-07, + "loss": 0.9141, + "step": 36883 + }, + { + "epoch": 0.87, + "grad_norm": 1.7197741975271388, + "learning_rate": 8.871545416270855e-07, + "loss": 0.7707, + "step": 36884 + }, + { + "epoch": 0.87, + "grad_norm": 2.041672721336215, + "learning_rate": 8.868403652319779e-07, + "loss": 0.7493, + "step": 36885 + }, + { + "epoch": 0.87, + "grad_norm": 1.5902054639764267, + "learning_rate": 8.865262418965659e-07, + "loss": 0.7637, + "step": 36886 + }, + { + "epoch": 0.87, + "grad_norm": 1.989682343432936, + "learning_rate": 8.862121716226846e-07, + "loss": 0.7509, + "step": 36887 + }, + { + "epoch": 0.87, + "grad_norm": 1.5569344247835097, + "learning_rate": 8.858981544121614e-07, + "loss": 0.9723, + "step": 36888 + }, + { + "epoch": 0.87, + "grad_norm": 2.140072133484241, + "learning_rate": 8.85584190266825e-07, + "loss": 0.9057, + "step": 36889 + }, + { + "epoch": 0.87, + "grad_norm": 1.5928379957511902, + "learning_rate": 8.852702791885048e-07, + "loss": 0.7532, + "step": 36890 + }, + { + "epoch": 0.87, + "grad_norm": 1.9418902215761145, + "learning_rate": 8.84956421179024e-07, + "loss": 0.9015, + "step": 36891 + }, + { + "epoch": 0.87, + "grad_norm": 1.663183591243462, + "learning_rate": 8.846426162402144e-07, + "loss": 0.7145, + "step": 36892 + }, + { + "epoch": 0.87, + "grad_norm": 1.4490043024477055, + "learning_rate": 8.843288643739001e-07, + "loss": 0.6924, + "step": 36893 + }, + { + "epoch": 0.87, + "grad_norm": 1.8362944834512256, + "learning_rate": 8.840151655819107e-07, + "loss": 0.6685, + "step": 36894 + }, + { + "epoch": 0.87, + "grad_norm": 1.4291105904319423, + "learning_rate": 8.837015198660681e-07, + "loss": 0.7922, + "step": 36895 + }, + { + "epoch": 0.87, + "grad_norm": 1.6335390500363787, + "learning_rate": 8.833879272282053e-07, + "loss": 0.8318, + "step": 36896 + }, + { + "epoch": 0.87, + "grad_norm": 1.5659344771237331, + "learning_rate": 8.830743876701408e-07, + "loss": 0.7329, + "step": 36897 + }, + { + "epoch": 0.87, + "grad_norm": 1.8473443758946417, + "learning_rate": 8.827609011937066e-07, + "loss": 0.7932, + "step": 36898 + }, + { + "epoch": 0.87, + "grad_norm": 1.7062741029430952, + "learning_rate": 8.824474678007244e-07, + "loss": 0.8425, + "step": 36899 + }, + { + "epoch": 0.87, + "grad_norm": 1.3955386480320924, + "learning_rate": 8.821340874930173e-07, + "loss": 0.8501, + "step": 36900 + }, + { + "epoch": 0.87, + "grad_norm": 1.5392009967147073, + "learning_rate": 8.818207602724127e-07, + "loss": 0.843, + "step": 36901 + }, + { + "epoch": 0.87, + "grad_norm": 1.7651998837204481, + "learning_rate": 8.815074861407358e-07, + "loss": 0.7351, + "step": 36902 + }, + { + "epoch": 0.87, + "grad_norm": 1.5205931984073973, + "learning_rate": 8.811942650998096e-07, + "loss": 0.7314, + "step": 36903 + }, + { + "epoch": 0.87, + "grad_norm": 0.7352250848348598, + "learning_rate": 8.808810971514559e-07, + "loss": 0.7083, + "step": 36904 + }, + { + "epoch": 0.87, + "grad_norm": 1.6248430952688961, + "learning_rate": 8.805679822974988e-07, + "loss": 0.7083, + "step": 36905 + }, + { + "epoch": 0.87, + "grad_norm": 1.3654805005765212, + "learning_rate": 8.802549205397637e-07, + "loss": 0.6113, + "step": 36906 + }, + { + "epoch": 0.87, + "grad_norm": 0.7304610811209624, + "learning_rate": 8.799419118800722e-07, + "loss": 0.7059, + "step": 36907 + }, + { + "epoch": 0.87, + "grad_norm": 1.57474939769855, + "learning_rate": 8.796289563202454e-07, + "loss": 0.9065, + "step": 36908 + }, + { + "epoch": 0.87, + "grad_norm": 1.6850155971638099, + "learning_rate": 8.793160538621048e-07, + "loss": 0.8525, + "step": 36909 + }, + { + "epoch": 0.87, + "grad_norm": 1.6150598374582759, + "learning_rate": 8.790032045074759e-07, + "loss": 0.8535, + "step": 36910 + }, + { + "epoch": 0.87, + "grad_norm": 1.496231911778042, + "learning_rate": 8.786904082581782e-07, + "loss": 0.9238, + "step": 36911 + }, + { + "epoch": 0.87, + "grad_norm": 1.5326879252851104, + "learning_rate": 8.783776651160303e-07, + "loss": 0.9014, + "step": 36912 + }, + { + "epoch": 0.87, + "grad_norm": 1.7101286246482406, + "learning_rate": 8.780649750828585e-07, + "loss": 0.8447, + "step": 36913 + }, + { + "epoch": 0.87, + "grad_norm": 1.6737547943099853, + "learning_rate": 8.77752338160478e-07, + "loss": 0.9124, + "step": 36914 + }, + { + "epoch": 0.87, + "grad_norm": 1.631116664155015, + "learning_rate": 8.774397543507129e-07, + "loss": 0.8036, + "step": 36915 + }, + { + "epoch": 0.87, + "grad_norm": 1.5555415318335797, + "learning_rate": 8.771272236553796e-07, + "loss": 0.6848, + "step": 36916 + }, + { + "epoch": 0.87, + "grad_norm": 1.5676989903434317, + "learning_rate": 8.768147460763021e-07, + "loss": 0.8677, + "step": 36917 + }, + { + "epoch": 0.87, + "grad_norm": 2.720350656053165, + "learning_rate": 8.765023216152969e-07, + "loss": 0.8554, + "step": 36918 + }, + { + "epoch": 0.87, + "grad_norm": 1.4878001449402192, + "learning_rate": 8.761899502741833e-07, + "loss": 0.8356, + "step": 36919 + }, + { + "epoch": 0.87, + "grad_norm": 2.570189740362734, + "learning_rate": 8.758776320547812e-07, + "loss": 0.8264, + "step": 36920 + }, + { + "epoch": 0.87, + "grad_norm": 1.7716822413485618, + "learning_rate": 8.75565366958907e-07, + "loss": 0.901, + "step": 36921 + }, + { + "epoch": 0.87, + "grad_norm": 1.9559753295070472, + "learning_rate": 8.752531549883791e-07, + "loss": 0.8041, + "step": 36922 + }, + { + "epoch": 0.87, + "grad_norm": 0.7751464466410349, + "learning_rate": 8.749409961450183e-07, + "loss": 0.7022, + "step": 36923 + }, + { + "epoch": 0.87, + "grad_norm": 1.940563484575678, + "learning_rate": 8.74628890430641e-07, + "loss": 0.932, + "step": 36924 + }, + { + "epoch": 0.87, + "grad_norm": 1.6610017851626362, + "learning_rate": 8.743168378470601e-07, + "loss": 0.7712, + "step": 36925 + }, + { + "epoch": 0.87, + "grad_norm": 1.567792697017635, + "learning_rate": 8.740048383960964e-07, + "loss": 0.978, + "step": 36926 + }, + { + "epoch": 0.87, + "grad_norm": 3.776698033542905, + "learning_rate": 8.736928920795674e-07, + "loss": 0.7935, + "step": 36927 + }, + { + "epoch": 0.87, + "grad_norm": 1.4308231876366744, + "learning_rate": 8.733809988992881e-07, + "loss": 0.8941, + "step": 36928 + }, + { + "epoch": 0.87, + "grad_norm": 1.4606370242183773, + "learning_rate": 8.730691588570716e-07, + "loss": 0.8323, + "step": 36929 + }, + { + "epoch": 0.87, + "grad_norm": 0.8131561063833872, + "learning_rate": 8.727573719547367e-07, + "loss": 0.7365, + "step": 36930 + }, + { + "epoch": 0.87, + "grad_norm": 3.7141389705430092, + "learning_rate": 8.724456381940994e-07, + "loss": 0.8557, + "step": 36931 + }, + { + "epoch": 0.87, + "grad_norm": 1.4840266349888618, + "learning_rate": 8.721339575769727e-07, + "loss": 0.8363, + "step": 36932 + }, + { + "epoch": 0.87, + "grad_norm": 1.6222729402416105, + "learning_rate": 8.71822330105171e-07, + "loss": 0.8019, + "step": 36933 + }, + { + "epoch": 0.87, + "grad_norm": 2.008637047460108, + "learning_rate": 8.715107557805092e-07, + "loss": 0.7965, + "step": 36934 + }, + { + "epoch": 0.87, + "grad_norm": 1.5896234094202857, + "learning_rate": 8.711992346048038e-07, + "loss": 0.6676, + "step": 36935 + }, + { + "epoch": 0.87, + "grad_norm": 1.634813437302454, + "learning_rate": 8.708877665798666e-07, + "loss": 0.7413, + "step": 36936 + }, + { + "epoch": 0.87, + "grad_norm": 1.7214597826748768, + "learning_rate": 8.705763517075094e-07, + "loss": 0.9289, + "step": 36937 + }, + { + "epoch": 0.87, + "grad_norm": 1.5996380234721648, + "learning_rate": 8.702649899895488e-07, + "loss": 0.7726, + "step": 36938 + }, + { + "epoch": 0.87, + "grad_norm": 1.636101536955915, + "learning_rate": 8.699536814277931e-07, + "loss": 0.8265, + "step": 36939 + }, + { + "epoch": 0.87, + "grad_norm": 1.5260407909540759, + "learning_rate": 8.69642426024061e-07, + "loss": 0.7942, + "step": 36940 + }, + { + "epoch": 0.87, + "grad_norm": 1.390550929670926, + "learning_rate": 8.693312237801588e-07, + "loss": 0.8745, + "step": 36941 + }, + { + "epoch": 0.87, + "grad_norm": 1.6622547678331343, + "learning_rate": 8.690200746979016e-07, + "loss": 0.8377, + "step": 36942 + }, + { + "epoch": 0.87, + "grad_norm": 1.6401015334260505, + "learning_rate": 8.687089787791003e-07, + "loss": 0.948, + "step": 36943 + }, + { + "epoch": 0.87, + "grad_norm": 1.6737252476121547, + "learning_rate": 8.683979360255668e-07, + "loss": 0.8747, + "step": 36944 + }, + { + "epoch": 0.87, + "grad_norm": 1.450705864530567, + "learning_rate": 8.680869464391129e-07, + "loss": 0.7926, + "step": 36945 + }, + { + "epoch": 0.87, + "grad_norm": 1.7612272438664123, + "learning_rate": 8.677760100215449e-07, + "loss": 0.8774, + "step": 36946 + }, + { + "epoch": 0.87, + "grad_norm": 1.8814365626526894, + "learning_rate": 8.674651267746769e-07, + "loss": 0.8779, + "step": 36947 + }, + { + "epoch": 0.87, + "grad_norm": 0.7426813556545331, + "learning_rate": 8.671542967003188e-07, + "loss": 0.7459, + "step": 36948 + }, + { + "epoch": 0.87, + "grad_norm": 1.7202231426320358, + "learning_rate": 8.668435198002812e-07, + "loss": 0.8936, + "step": 36949 + }, + { + "epoch": 0.87, + "grad_norm": 1.5519422784177404, + "learning_rate": 8.665327960763692e-07, + "loss": 0.8275, + "step": 36950 + }, + { + "epoch": 0.87, + "grad_norm": 1.9222988075641039, + "learning_rate": 8.66222125530396e-07, + "loss": 0.8355, + "step": 36951 + }, + { + "epoch": 0.87, + "grad_norm": 1.7322033798249528, + "learning_rate": 8.659115081641712e-07, + "loss": 0.728, + "step": 36952 + }, + { + "epoch": 0.87, + "grad_norm": 2.1119121964179257, + "learning_rate": 8.656009439794998e-07, + "loss": 0.9112, + "step": 36953 + }, + { + "epoch": 0.87, + "grad_norm": 1.606299710179284, + "learning_rate": 8.652904329781908e-07, + "loss": 0.7424, + "step": 36954 + }, + { + "epoch": 0.87, + "grad_norm": 1.578028365131823, + "learning_rate": 8.649799751620536e-07, + "loss": 0.7788, + "step": 36955 + }, + { + "epoch": 0.87, + "grad_norm": 1.756255601763117, + "learning_rate": 8.646695705328955e-07, + "loss": 0.8257, + "step": 36956 + }, + { + "epoch": 0.87, + "grad_norm": 1.6159218256208647, + "learning_rate": 8.643592190925243e-07, + "loss": 0.8, + "step": 36957 + }, + { + "epoch": 0.87, + "grad_norm": 0.7247151226923806, + "learning_rate": 8.640489208427438e-07, + "loss": 0.6755, + "step": 36958 + }, + { + "epoch": 0.87, + "grad_norm": 1.6167815517483148, + "learning_rate": 8.637386757853649e-07, + "loss": 0.8075, + "step": 36959 + }, + { + "epoch": 0.87, + "grad_norm": 1.5388615241261514, + "learning_rate": 8.634284839221907e-07, + "loss": 0.763, + "step": 36960 + }, + { + "epoch": 0.87, + "grad_norm": 1.556017536405375, + "learning_rate": 8.631183452550295e-07, + "loss": 0.8945, + "step": 36961 + }, + { + "epoch": 0.87, + "grad_norm": 1.4241698471532895, + "learning_rate": 8.628082597856835e-07, + "loss": 0.8015, + "step": 36962 + }, + { + "epoch": 0.87, + "grad_norm": 1.7153311567429166, + "learning_rate": 8.624982275159633e-07, + "loss": 0.9038, + "step": 36963 + }, + { + "epoch": 0.87, + "grad_norm": 1.4852123823079404, + "learning_rate": 8.621882484476695e-07, + "loss": 0.925, + "step": 36964 + }, + { + "epoch": 0.87, + "grad_norm": 1.5252660536087248, + "learning_rate": 8.618783225826088e-07, + "loss": 0.8585, + "step": 36965 + }, + { + "epoch": 0.87, + "grad_norm": 1.7522339684969037, + "learning_rate": 8.615684499225884e-07, + "loss": 0.8516, + "step": 36966 + }, + { + "epoch": 0.87, + "grad_norm": 1.4674298319841779, + "learning_rate": 8.61258630469407e-07, + "loss": 0.9012, + "step": 36967 + }, + { + "epoch": 0.87, + "grad_norm": 1.7160186239101727, + "learning_rate": 8.609488642248709e-07, + "loss": 0.9091, + "step": 36968 + }, + { + "epoch": 0.87, + "grad_norm": 1.486644607086232, + "learning_rate": 8.606391511907841e-07, + "loss": 0.742, + "step": 36969 + }, + { + "epoch": 0.87, + "grad_norm": 0.7737639437728013, + "learning_rate": 8.60329491368953e-07, + "loss": 0.7355, + "step": 36970 + }, + { + "epoch": 0.87, + "grad_norm": 1.5278989819718567, + "learning_rate": 8.60019884761173e-07, + "loss": 0.8375, + "step": 36971 + }, + { + "epoch": 0.87, + "grad_norm": 1.6452174337999235, + "learning_rate": 8.597103313692512e-07, + "loss": 0.8762, + "step": 36972 + }, + { + "epoch": 0.87, + "grad_norm": 1.6218002077295754, + "learning_rate": 8.59400831194992e-07, + "loss": 0.8812, + "step": 36973 + }, + { + "epoch": 0.87, + "grad_norm": 0.7752746984745618, + "learning_rate": 8.590913842401949e-07, + "loss": 0.6958, + "step": 36974 + }, + { + "epoch": 0.87, + "grad_norm": 1.58733070510586, + "learning_rate": 8.587819905066597e-07, + "loss": 0.8277, + "step": 36975 + }, + { + "epoch": 0.87, + "grad_norm": 1.5710672878608836, + "learning_rate": 8.584726499961893e-07, + "loss": 0.9092, + "step": 36976 + }, + { + "epoch": 0.87, + "grad_norm": 1.5573946586086496, + "learning_rate": 8.581633627105879e-07, + "loss": 0.8293, + "step": 36977 + }, + { + "epoch": 0.87, + "grad_norm": 1.5654434133335147, + "learning_rate": 8.578541286516506e-07, + "loss": 0.81, + "step": 36978 + }, + { + "epoch": 0.87, + "grad_norm": 2.262597618455371, + "learning_rate": 8.575449478211839e-07, + "loss": 0.7746, + "step": 36979 + }, + { + "epoch": 0.87, + "grad_norm": 1.7324507894120345, + "learning_rate": 8.572358202209851e-07, + "loss": 0.6063, + "step": 36980 + }, + { + "epoch": 0.87, + "grad_norm": 1.5683165525606275, + "learning_rate": 8.569267458528519e-07, + "loss": 0.7315, + "step": 36981 + }, + { + "epoch": 0.87, + "grad_norm": 1.723016869805832, + "learning_rate": 8.566177247185847e-07, + "loss": 0.7656, + "step": 36982 + }, + { + "epoch": 0.87, + "grad_norm": 1.6521165609828905, + "learning_rate": 8.563087568199868e-07, + "loss": 0.8095, + "step": 36983 + }, + { + "epoch": 0.87, + "grad_norm": 1.5867924498395907, + "learning_rate": 8.559998421588545e-07, + "loss": 0.8995, + "step": 36984 + }, + { + "epoch": 0.87, + "grad_norm": 1.638952980742679, + "learning_rate": 8.55690980736984e-07, + "loss": 0.9291, + "step": 36985 + }, + { + "epoch": 0.87, + "grad_norm": 2.3134545921210967, + "learning_rate": 8.553821725561751e-07, + "loss": 0.8887, + "step": 36986 + }, + { + "epoch": 0.87, + "grad_norm": 2.1771834090662034, + "learning_rate": 8.550734176182285e-07, + "loss": 0.7913, + "step": 36987 + }, + { + "epoch": 0.87, + "grad_norm": 1.6794050420672977, + "learning_rate": 8.547647159249395e-07, + "loss": 0.8524, + "step": 36988 + }, + { + "epoch": 0.87, + "grad_norm": 1.5424632244392995, + "learning_rate": 8.544560674781033e-07, + "loss": 0.8616, + "step": 36989 + }, + { + "epoch": 0.87, + "grad_norm": 1.709447889021239, + "learning_rate": 8.541474722795207e-07, + "loss": 0.756, + "step": 36990 + }, + { + "epoch": 0.87, + "grad_norm": 1.7757752198864478, + "learning_rate": 8.538389303309879e-07, + "loss": 0.7655, + "step": 36991 + }, + { + "epoch": 0.87, + "grad_norm": 1.687387336561785, + "learning_rate": 8.535304416343005e-07, + "loss": 0.8361, + "step": 36992 + }, + { + "epoch": 0.87, + "grad_norm": 1.5301193555588264, + "learning_rate": 8.532220061912533e-07, + "loss": 0.8149, + "step": 36993 + }, + { + "epoch": 0.87, + "grad_norm": 1.6112423676912317, + "learning_rate": 8.529136240036439e-07, + "loss": 0.7239, + "step": 36994 + }, + { + "epoch": 0.87, + "grad_norm": 1.6547756269365739, + "learning_rate": 8.526052950732666e-07, + "loss": 0.8378, + "step": 36995 + }, + { + "epoch": 0.87, + "grad_norm": 1.7710978233851533, + "learning_rate": 8.522970194019187e-07, + "loss": 0.9017, + "step": 36996 + }, + { + "epoch": 0.87, + "grad_norm": 1.4920215055624082, + "learning_rate": 8.51988796991392e-07, + "loss": 0.7295, + "step": 36997 + }, + { + "epoch": 0.87, + "grad_norm": 1.9115946811736757, + "learning_rate": 8.516806278434852e-07, + "loss": 0.7333, + "step": 36998 + }, + { + "epoch": 0.87, + "grad_norm": 1.627713855965269, + "learning_rate": 8.51372511959988e-07, + "loss": 0.8476, + "step": 36999 + }, + { + "epoch": 0.87, + "grad_norm": 2.103191089020719, + "learning_rate": 8.510644493426979e-07, + "loss": 0.8548, + "step": 37000 + }, + { + "epoch": 0.87, + "grad_norm": 1.6430971224947635, + "learning_rate": 8.507564399934065e-07, + "loss": 0.8267, + "step": 37001 + }, + { + "epoch": 0.87, + "grad_norm": 0.7711383205292782, + "learning_rate": 8.504484839139071e-07, + "loss": 0.7012, + "step": 37002 + }, + { + "epoch": 0.87, + "grad_norm": 1.6574207497291062, + "learning_rate": 8.501405811059926e-07, + "loss": 0.7564, + "step": 37003 + }, + { + "epoch": 0.87, + "grad_norm": 1.571749121502793, + "learning_rate": 8.498327315714583e-07, + "loss": 0.7506, + "step": 37004 + }, + { + "epoch": 0.87, + "grad_norm": 1.6186231373903686, + "learning_rate": 8.495249353120949e-07, + "loss": 0.8684, + "step": 37005 + }, + { + "epoch": 0.87, + "grad_norm": 0.7963776049064685, + "learning_rate": 8.492171923296922e-07, + "loss": 0.7475, + "step": 37006 + }, + { + "epoch": 0.87, + "grad_norm": 1.5365439592936723, + "learning_rate": 8.489095026260452e-07, + "loss": 0.7217, + "step": 37007 + }, + { + "epoch": 0.87, + "grad_norm": 1.6488129505097133, + "learning_rate": 8.48601866202945e-07, + "loss": 0.8565, + "step": 37008 + }, + { + "epoch": 0.87, + "grad_norm": 1.7129048064630565, + "learning_rate": 8.482942830621821e-07, + "loss": 0.8539, + "step": 37009 + }, + { + "epoch": 0.87, + "grad_norm": 1.450506483776303, + "learning_rate": 8.479867532055452e-07, + "loss": 0.9415, + "step": 37010 + }, + { + "epoch": 0.87, + "grad_norm": 1.6564113480470015, + "learning_rate": 8.476792766348274e-07, + "loss": 0.797, + "step": 37011 + }, + { + "epoch": 0.87, + "grad_norm": 0.7943586145474865, + "learning_rate": 8.473718533518205e-07, + "loss": 0.6894, + "step": 37012 + }, + { + "epoch": 0.87, + "grad_norm": 1.809223314964033, + "learning_rate": 8.470644833583119e-07, + "loss": 0.8786, + "step": 37013 + }, + { + "epoch": 0.87, + "grad_norm": 0.7809615837376856, + "learning_rate": 8.467571666560903e-07, + "loss": 0.7052, + "step": 37014 + }, + { + "epoch": 0.87, + "grad_norm": 1.5072730827740217, + "learning_rate": 8.464499032469475e-07, + "loss": 0.8408, + "step": 37015 + }, + { + "epoch": 0.87, + "grad_norm": 1.4688965385162975, + "learning_rate": 8.461426931326699e-07, + "loss": 0.858, + "step": 37016 + }, + { + "epoch": 0.87, + "grad_norm": 1.640727809043405, + "learning_rate": 8.458355363150494e-07, + "loss": 0.8077, + "step": 37017 + }, + { + "epoch": 0.87, + "grad_norm": 1.6987912296216412, + "learning_rate": 8.455284327958702e-07, + "loss": 0.8711, + "step": 37018 + }, + { + "epoch": 0.87, + "grad_norm": 1.5428901398075519, + "learning_rate": 8.452213825769251e-07, + "loss": 0.6965, + "step": 37019 + }, + { + "epoch": 0.87, + "grad_norm": 1.5735750214614161, + "learning_rate": 8.449143856599973e-07, + "loss": 0.777, + "step": 37020 + }, + { + "epoch": 0.87, + "grad_norm": 1.5110093451851878, + "learning_rate": 8.446074420468786e-07, + "loss": 0.8626, + "step": 37021 + }, + { + "epoch": 0.87, + "grad_norm": 0.7898233274823153, + "learning_rate": 8.443005517393543e-07, + "loss": 0.7515, + "step": 37022 + }, + { + "epoch": 0.87, + "grad_norm": 1.552960720842615, + "learning_rate": 8.439937147392086e-07, + "loss": 0.8424, + "step": 37023 + }, + { + "epoch": 0.87, + "grad_norm": 1.7830257467422692, + "learning_rate": 8.436869310482298e-07, + "loss": 0.6872, + "step": 37024 + }, + { + "epoch": 0.87, + "grad_norm": 1.5409258519353664, + "learning_rate": 8.433802006682068e-07, + "loss": 0.817, + "step": 37025 + }, + { + "epoch": 0.87, + "grad_norm": 1.7799284069537455, + "learning_rate": 8.430735236009225e-07, + "loss": 0.7998, + "step": 37026 + }, + { + "epoch": 0.87, + "grad_norm": 1.806806202852988, + "learning_rate": 8.427668998481619e-07, + "loss": 0.891, + "step": 37027 + }, + { + "epoch": 0.87, + "grad_norm": 0.7828413704659483, + "learning_rate": 8.424603294117118e-07, + "loss": 0.7106, + "step": 37028 + }, + { + "epoch": 0.87, + "grad_norm": 1.4866407488740394, + "learning_rate": 8.421538122933593e-07, + "loss": 0.8345, + "step": 37029 + }, + { + "epoch": 0.87, + "grad_norm": 1.5648775960288435, + "learning_rate": 8.418473484948853e-07, + "loss": 0.8555, + "step": 37030 + }, + { + "epoch": 0.87, + "grad_norm": 2.785696807700123, + "learning_rate": 8.41540938018074e-07, + "loss": 0.8508, + "step": 37031 + }, + { + "epoch": 0.87, + "grad_norm": 1.6549529520361055, + "learning_rate": 8.412345808647115e-07, + "loss": 0.8029, + "step": 37032 + }, + { + "epoch": 0.87, + "grad_norm": 1.7972685311703729, + "learning_rate": 8.409282770365823e-07, + "loss": 0.8842, + "step": 37033 + }, + { + "epoch": 0.87, + "grad_norm": 1.630429262293612, + "learning_rate": 8.406220265354681e-07, + "loss": 0.673, + "step": 37034 + }, + { + "epoch": 0.87, + "grad_norm": 1.4927638786047426, + "learning_rate": 8.403158293631508e-07, + "loss": 0.893, + "step": 37035 + }, + { + "epoch": 0.87, + "grad_norm": 1.7291919185346236, + "learning_rate": 8.400096855214157e-07, + "loss": 0.8934, + "step": 37036 + }, + { + "epoch": 0.87, + "grad_norm": 1.387491201223209, + "learning_rate": 8.397035950120435e-07, + "loss": 0.7025, + "step": 37037 + }, + { + "epoch": 0.87, + "grad_norm": 1.48992863656994, + "learning_rate": 8.393975578368186e-07, + "loss": 0.8325, + "step": 37038 + }, + { + "epoch": 0.87, + "grad_norm": 1.849727181166202, + "learning_rate": 8.390915739975192e-07, + "loss": 0.8803, + "step": 37039 + }, + { + "epoch": 0.87, + "grad_norm": 1.9274387372368988, + "learning_rate": 8.387856434959307e-07, + "loss": 0.8232, + "step": 37040 + }, + { + "epoch": 0.87, + "grad_norm": 1.5046933198794123, + "learning_rate": 8.384797663338307e-07, + "loss": 0.886, + "step": 37041 + }, + { + "epoch": 0.87, + "grad_norm": 1.6131371111592525, + "learning_rate": 8.381739425130042e-07, + "loss": 0.8337, + "step": 37042 + }, + { + "epoch": 0.87, + "grad_norm": 0.7582758288306498, + "learning_rate": 8.3786817203523e-07, + "loss": 0.6512, + "step": 37043 + }, + { + "epoch": 0.87, + "grad_norm": 1.572745783342823, + "learning_rate": 8.375624549022854e-07, + "loss": 0.8849, + "step": 37044 + }, + { + "epoch": 0.87, + "grad_norm": 1.633927337304644, + "learning_rate": 8.372567911159535e-07, + "loss": 0.7852, + "step": 37045 + }, + { + "epoch": 0.87, + "grad_norm": 1.7279216670414435, + "learning_rate": 8.369511806780151e-07, + "loss": 0.9151, + "step": 37046 + }, + { + "epoch": 0.87, + "grad_norm": 1.5442237199592426, + "learning_rate": 8.366456235902476e-07, + "loss": 0.9021, + "step": 37047 + }, + { + "epoch": 0.87, + "grad_norm": 1.5672947349898285, + "learning_rate": 8.363401198544285e-07, + "loss": 0.7869, + "step": 37048 + }, + { + "epoch": 0.87, + "grad_norm": 1.9622174880185996, + "learning_rate": 8.360346694723387e-07, + "loss": 0.7313, + "step": 37049 + }, + { + "epoch": 0.87, + "grad_norm": 1.9689697198926095, + "learning_rate": 8.357292724457577e-07, + "loss": 0.9052, + "step": 37050 + }, + { + "epoch": 0.87, + "grad_norm": 1.7198227232071803, + "learning_rate": 8.35423928776462e-07, + "loss": 0.9159, + "step": 37051 + }, + { + "epoch": 0.87, + "grad_norm": 1.6706004443994524, + "learning_rate": 8.351186384662291e-07, + "loss": 0.9034, + "step": 37052 + }, + { + "epoch": 0.87, + "grad_norm": 1.4870767258420172, + "learning_rate": 8.348134015168364e-07, + "loss": 0.8691, + "step": 37053 + }, + { + "epoch": 0.87, + "grad_norm": 1.5230907886614662, + "learning_rate": 8.345082179300634e-07, + "loss": 0.7966, + "step": 37054 + }, + { + "epoch": 0.87, + "grad_norm": 1.8233949965829108, + "learning_rate": 8.342030877076856e-07, + "loss": 0.8681, + "step": 37055 + }, + { + "epoch": 0.87, + "grad_norm": 0.8154288946686106, + "learning_rate": 8.338980108514772e-07, + "loss": 0.7448, + "step": 37056 + }, + { + "epoch": 0.87, + "grad_norm": 2.0089384526693768, + "learning_rate": 8.335929873632164e-07, + "loss": 0.8817, + "step": 37057 + }, + { + "epoch": 0.87, + "grad_norm": 1.6247451013055565, + "learning_rate": 8.332880172446811e-07, + "loss": 0.8771, + "step": 37058 + }, + { + "epoch": 0.87, + "grad_norm": 1.485078636560217, + "learning_rate": 8.329831004976452e-07, + "loss": 0.7781, + "step": 37059 + }, + { + "epoch": 0.87, + "grad_norm": 1.6483412738611123, + "learning_rate": 8.326782371238818e-07, + "loss": 0.7927, + "step": 37060 + }, + { + "epoch": 0.87, + "grad_norm": 1.598493059351102, + "learning_rate": 8.323734271251704e-07, + "loss": 0.772, + "step": 37061 + }, + { + "epoch": 0.87, + "grad_norm": 1.611360156253855, + "learning_rate": 8.32068670503281e-07, + "loss": 0.8139, + "step": 37062 + }, + { + "epoch": 0.87, + "grad_norm": 2.261384968261265, + "learning_rate": 8.317639672599909e-07, + "loss": 0.8052, + "step": 37063 + }, + { + "epoch": 0.87, + "grad_norm": 1.5260682569320383, + "learning_rate": 8.314593173970753e-07, + "loss": 0.9291, + "step": 37064 + }, + { + "epoch": 0.87, + "grad_norm": 1.4325599763812782, + "learning_rate": 8.311547209163052e-07, + "loss": 0.75, + "step": 37065 + }, + { + "epoch": 0.87, + "grad_norm": 0.7749367728739467, + "learning_rate": 8.308501778194545e-07, + "loss": 0.7317, + "step": 37066 + }, + { + "epoch": 0.87, + "grad_norm": 1.6349354280339423, + "learning_rate": 8.305456881082963e-07, + "loss": 0.803, + "step": 37067 + }, + { + "epoch": 0.87, + "grad_norm": 1.6403358528241219, + "learning_rate": 8.302412517846081e-07, + "loss": 0.8062, + "step": 37068 + }, + { + "epoch": 0.87, + "grad_norm": 0.7788713419085073, + "learning_rate": 8.299368688501552e-07, + "loss": 0.7273, + "step": 37069 + }, + { + "epoch": 0.87, + "grad_norm": 1.5786818242553604, + "learning_rate": 8.296325393067128e-07, + "loss": 0.8085, + "step": 37070 + }, + { + "epoch": 0.87, + "grad_norm": 1.5305599943284214, + "learning_rate": 8.293282631560529e-07, + "loss": 0.8417, + "step": 37071 + }, + { + "epoch": 0.87, + "grad_norm": 1.4899028389602118, + "learning_rate": 8.290240403999505e-07, + "loss": 0.7759, + "step": 37072 + }, + { + "epoch": 0.87, + "grad_norm": 1.5769748461191568, + "learning_rate": 8.287198710401701e-07, + "loss": 0.8652, + "step": 37073 + }, + { + "epoch": 0.87, + "grad_norm": 0.7808583988413903, + "learning_rate": 8.284157550784866e-07, + "loss": 0.6993, + "step": 37074 + }, + { + "epoch": 0.87, + "grad_norm": 1.7984818320905194, + "learning_rate": 8.281116925166721e-07, + "loss": 0.7838, + "step": 37075 + }, + { + "epoch": 0.87, + "grad_norm": 1.5545648219306216, + "learning_rate": 8.278076833564929e-07, + "loss": 0.8349, + "step": 37076 + }, + { + "epoch": 0.87, + "grad_norm": 1.7799068107647662, + "learning_rate": 8.275037275997233e-07, + "loss": 0.9416, + "step": 37077 + }, + { + "epoch": 0.87, + "grad_norm": 1.65662675017873, + "learning_rate": 8.271998252481283e-07, + "loss": 0.8629, + "step": 37078 + }, + { + "epoch": 0.87, + "grad_norm": 1.543591236671662, + "learning_rate": 8.268959763034834e-07, + "loss": 0.8342, + "step": 37079 + }, + { + "epoch": 0.87, + "grad_norm": 1.799995696958599, + "learning_rate": 8.265921807675515e-07, + "loss": 0.9141, + "step": 37080 + }, + { + "epoch": 0.87, + "grad_norm": 1.6297081402462958, + "learning_rate": 8.262884386421055e-07, + "loss": 0.8495, + "step": 37081 + }, + { + "epoch": 0.87, + "grad_norm": 4.96590522608649, + "learning_rate": 8.25984749928913e-07, + "loss": 0.8875, + "step": 37082 + }, + { + "epoch": 0.87, + "grad_norm": 1.6925984339407105, + "learning_rate": 8.256811146297405e-07, + "loss": 0.8565, + "step": 37083 + }, + { + "epoch": 0.87, + "grad_norm": 1.7146616484299246, + "learning_rate": 8.253775327463565e-07, + "loss": 0.8278, + "step": 37084 + }, + { + "epoch": 0.87, + "grad_norm": 1.5877446613990749, + "learning_rate": 8.250740042805317e-07, + "loss": 0.7439, + "step": 37085 + }, + { + "epoch": 0.87, + "grad_norm": 1.511137566865447, + "learning_rate": 8.247705292340302e-07, + "loss": 0.815, + "step": 37086 + }, + { + "epoch": 0.87, + "grad_norm": 1.64921598696593, + "learning_rate": 8.244671076086174e-07, + "loss": 0.8679, + "step": 37087 + }, + { + "epoch": 0.87, + "grad_norm": 1.5886759276534184, + "learning_rate": 8.241637394060619e-07, + "loss": 0.8382, + "step": 37088 + }, + { + "epoch": 0.87, + "grad_norm": 0.7758093083100955, + "learning_rate": 8.238604246281323e-07, + "loss": 0.6868, + "step": 37089 + }, + { + "epoch": 0.87, + "grad_norm": 1.8507099152073272, + "learning_rate": 8.235571632765927e-07, + "loss": 0.8496, + "step": 37090 + }, + { + "epoch": 0.87, + "grad_norm": 2.086852279321101, + "learning_rate": 8.232539553532071e-07, + "loss": 0.8339, + "step": 37091 + }, + { + "epoch": 0.87, + "grad_norm": 1.6379988019822052, + "learning_rate": 8.229508008597409e-07, + "loss": 0.9216, + "step": 37092 + }, + { + "epoch": 0.87, + "grad_norm": 1.6347952400151904, + "learning_rate": 8.226476997979638e-07, + "loss": 0.8018, + "step": 37093 + }, + { + "epoch": 0.87, + "grad_norm": 1.6645278262572294, + "learning_rate": 8.223446521696366e-07, + "loss": 0.8904, + "step": 37094 + }, + { + "epoch": 0.87, + "grad_norm": 1.5882790546491778, + "learning_rate": 8.220416579765222e-07, + "loss": 0.7798, + "step": 37095 + }, + { + "epoch": 0.87, + "grad_norm": 1.4879131609746554, + "learning_rate": 8.217387172203895e-07, + "loss": 0.8712, + "step": 37096 + }, + { + "epoch": 0.87, + "grad_norm": 1.6063537782278117, + "learning_rate": 8.214358299029968e-07, + "loss": 1.0046, + "step": 37097 + }, + { + "epoch": 0.87, + "grad_norm": 0.7550252018925843, + "learning_rate": 8.211329960261138e-07, + "loss": 0.7272, + "step": 37098 + }, + { + "epoch": 0.87, + "grad_norm": 1.692616945326824, + "learning_rate": 8.208302155914982e-07, + "loss": 0.8382, + "step": 37099 + }, + { + "epoch": 0.87, + "grad_norm": 1.8285353169831704, + "learning_rate": 8.205274886009162e-07, + "loss": 0.8678, + "step": 37100 + }, + { + "epoch": 0.87, + "grad_norm": 1.7982324567315346, + "learning_rate": 8.202248150561288e-07, + "loss": 0.835, + "step": 37101 + }, + { + "epoch": 0.87, + "grad_norm": 0.7322003222590892, + "learning_rate": 8.199221949588998e-07, + "loss": 0.6891, + "step": 37102 + }, + { + "epoch": 0.87, + "grad_norm": 1.4977802619631737, + "learning_rate": 8.196196283109903e-07, + "loss": 0.9631, + "step": 37103 + }, + { + "epoch": 0.87, + "grad_norm": 0.8094939799769956, + "learning_rate": 8.193171151141599e-07, + "loss": 0.7378, + "step": 37104 + }, + { + "epoch": 0.87, + "grad_norm": 1.4592795513866232, + "learning_rate": 8.190146553701716e-07, + "loss": 0.6581, + "step": 37105 + }, + { + "epoch": 0.87, + "grad_norm": 1.5262676350583742, + "learning_rate": 8.187122490807897e-07, + "loss": 0.8322, + "step": 37106 + }, + { + "epoch": 0.87, + "grad_norm": 0.7759863291899189, + "learning_rate": 8.184098962477705e-07, + "loss": 0.6769, + "step": 37107 + }, + { + "epoch": 0.87, + "grad_norm": 1.6576622803280299, + "learning_rate": 8.181075968728746e-07, + "loss": 0.8757, + "step": 37108 + }, + { + "epoch": 0.87, + "grad_norm": 1.6523838063897438, + "learning_rate": 8.178053509578631e-07, + "loss": 0.9267, + "step": 37109 + }, + { + "epoch": 0.87, + "grad_norm": 1.8640356640870512, + "learning_rate": 8.175031585044968e-07, + "loss": 0.7665, + "step": 37110 + }, + { + "epoch": 0.87, + "grad_norm": 1.4965292260871608, + "learning_rate": 8.172010195145352e-07, + "loss": 0.8815, + "step": 37111 + }, + { + "epoch": 0.87, + "grad_norm": 0.7120888548118335, + "learning_rate": 8.168989339897348e-07, + "loss": 0.7022, + "step": 37112 + }, + { + "epoch": 0.87, + "grad_norm": 1.7574883746460126, + "learning_rate": 8.165969019318554e-07, + "loss": 0.8235, + "step": 37113 + }, + { + "epoch": 0.87, + "grad_norm": 1.8455512802418998, + "learning_rate": 8.162949233426587e-07, + "loss": 0.9311, + "step": 37114 + }, + { + "epoch": 0.87, + "grad_norm": 1.4396887463302541, + "learning_rate": 8.159929982239001e-07, + "loss": 0.752, + "step": 37115 + }, + { + "epoch": 0.87, + "grad_norm": 1.61191521840503, + "learning_rate": 8.156911265773359e-07, + "loss": 0.8138, + "step": 37116 + }, + { + "epoch": 0.87, + "grad_norm": 1.7244467173073459, + "learning_rate": 8.153893084047281e-07, + "loss": 0.7249, + "step": 37117 + }, + { + "epoch": 0.87, + "grad_norm": 1.7902759903063186, + "learning_rate": 8.150875437078298e-07, + "loss": 0.8444, + "step": 37118 + }, + { + "epoch": 0.87, + "grad_norm": 1.699630870338084, + "learning_rate": 8.147858324884005e-07, + "loss": 0.8423, + "step": 37119 + }, + { + "epoch": 0.87, + "grad_norm": 1.7337883507887026, + "learning_rate": 8.144841747481947e-07, + "loss": 0.9818, + "step": 37120 + }, + { + "epoch": 0.87, + "grad_norm": 2.035678409925059, + "learning_rate": 8.141825704889728e-07, + "loss": 0.7272, + "step": 37121 + }, + { + "epoch": 0.87, + "grad_norm": 1.5156447090002405, + "learning_rate": 8.138810197124846e-07, + "loss": 0.7012, + "step": 37122 + }, + { + "epoch": 0.87, + "grad_norm": 1.56511271760193, + "learning_rate": 8.135795224204923e-07, + "loss": 0.9005, + "step": 37123 + }, + { + "epoch": 0.87, + "grad_norm": 1.6071060072086953, + "learning_rate": 8.132780786147487e-07, + "loss": 0.8261, + "step": 37124 + }, + { + "epoch": 0.87, + "grad_norm": 0.7551207889042587, + "learning_rate": 8.129766882970069e-07, + "loss": 0.662, + "step": 37125 + }, + { + "epoch": 0.87, + "grad_norm": 1.6934638003209124, + "learning_rate": 8.126753514690222e-07, + "loss": 0.8597, + "step": 37126 + }, + { + "epoch": 0.87, + "grad_norm": 0.7528674778389863, + "learning_rate": 8.123740681325531e-07, + "loss": 0.7227, + "step": 37127 + }, + { + "epoch": 0.87, + "grad_norm": 1.478947118246367, + "learning_rate": 8.120728382893505e-07, + "loss": 0.7804, + "step": 37128 + }, + { + "epoch": 0.87, + "grad_norm": 1.6604734987353897, + "learning_rate": 8.117716619411675e-07, + "loss": 0.8249, + "step": 37129 + }, + { + "epoch": 0.87, + "grad_norm": 1.6736991220499964, + "learning_rate": 8.114705390897581e-07, + "loss": 0.8034, + "step": 37130 + }, + { + "epoch": 0.87, + "grad_norm": 1.7314971263819738, + "learning_rate": 8.111694697368778e-07, + "loss": 0.844, + "step": 37131 + }, + { + "epoch": 0.87, + "grad_norm": 1.5689368016741556, + "learning_rate": 8.108684538842781e-07, + "loss": 0.7957, + "step": 37132 + }, + { + "epoch": 0.87, + "grad_norm": 1.9174557246031583, + "learning_rate": 8.105674915337103e-07, + "loss": 0.7836, + "step": 37133 + }, + { + "epoch": 0.87, + "grad_norm": 2.0565819589426027, + "learning_rate": 8.102665826869283e-07, + "loss": 0.7891, + "step": 37134 + }, + { + "epoch": 0.87, + "grad_norm": 2.069433666978964, + "learning_rate": 8.09965727345684e-07, + "loss": 0.8105, + "step": 37135 + }, + { + "epoch": 0.87, + "grad_norm": 1.6638861307236108, + "learning_rate": 8.096649255117294e-07, + "loss": 0.9155, + "step": 37136 + }, + { + "epoch": 0.87, + "grad_norm": 1.583731354112546, + "learning_rate": 8.093641771868144e-07, + "loss": 0.8182, + "step": 37137 + }, + { + "epoch": 0.87, + "grad_norm": 1.5842630514785738, + "learning_rate": 8.090634823726917e-07, + "loss": 0.779, + "step": 37138 + }, + { + "epoch": 0.87, + "grad_norm": 1.5123345119552891, + "learning_rate": 8.08762841071109e-07, + "loss": 0.6746, + "step": 37139 + }, + { + "epoch": 0.87, + "grad_norm": 1.7610534769599346, + "learning_rate": 8.084622532838215e-07, + "loss": 0.8066, + "step": 37140 + }, + { + "epoch": 0.88, + "grad_norm": 1.977078552785905, + "learning_rate": 8.081617190125745e-07, + "loss": 0.8283, + "step": 37141 + }, + { + "epoch": 0.88, + "grad_norm": 0.786814438648428, + "learning_rate": 8.078612382591222e-07, + "loss": 0.7247, + "step": 37142 + }, + { + "epoch": 0.88, + "grad_norm": 1.4740525153821886, + "learning_rate": 8.075608110252098e-07, + "loss": 0.745, + "step": 37143 + }, + { + "epoch": 0.88, + "grad_norm": 1.590199856987003, + "learning_rate": 8.072604373125914e-07, + "loss": 0.8077, + "step": 37144 + }, + { + "epoch": 0.88, + "grad_norm": 1.7084838998465157, + "learning_rate": 8.069601171230124e-07, + "loss": 0.8396, + "step": 37145 + }, + { + "epoch": 0.88, + "grad_norm": 1.7206172882803539, + "learning_rate": 8.066598504582201e-07, + "loss": 0.8336, + "step": 37146 + }, + { + "epoch": 0.88, + "grad_norm": 0.741101107726395, + "learning_rate": 8.063596373199645e-07, + "loss": 0.6911, + "step": 37147 + }, + { + "epoch": 0.88, + "grad_norm": 1.5028385390289751, + "learning_rate": 8.060594777099939e-07, + "loss": 0.935, + "step": 37148 + }, + { + "epoch": 0.88, + "grad_norm": 1.5032242125960527, + "learning_rate": 8.057593716300605e-07, + "loss": 0.8627, + "step": 37149 + }, + { + "epoch": 0.88, + "grad_norm": 2.208124296029028, + "learning_rate": 8.054593190819016e-07, + "loss": 0.75, + "step": 37150 + }, + { + "epoch": 0.88, + "grad_norm": 1.8022259794682174, + "learning_rate": 8.051593200672703e-07, + "loss": 0.8803, + "step": 37151 + }, + { + "epoch": 0.88, + "grad_norm": 1.7113459664057258, + "learning_rate": 8.048593745879141e-07, + "loss": 0.8286, + "step": 37152 + }, + { + "epoch": 0.88, + "grad_norm": 1.4906628536107904, + "learning_rate": 8.045594826455783e-07, + "loss": 0.901, + "step": 37153 + }, + { + "epoch": 0.88, + "grad_norm": 1.7806372235520211, + "learning_rate": 8.042596442420059e-07, + "loss": 0.8264, + "step": 37154 + }, + { + "epoch": 0.88, + "grad_norm": 1.685092048256272, + "learning_rate": 8.039598593789455e-07, + "loss": 0.8386, + "step": 37155 + }, + { + "epoch": 0.88, + "grad_norm": 1.5868485556800314, + "learning_rate": 8.036601280581446e-07, + "loss": 0.9268, + "step": 37156 + }, + { + "epoch": 0.88, + "grad_norm": 1.4693611797583328, + "learning_rate": 8.033604502813453e-07, + "loss": 0.8549, + "step": 37157 + }, + { + "epoch": 0.88, + "grad_norm": 2.1162765285207574, + "learning_rate": 8.030608260502915e-07, + "loss": 0.7879, + "step": 37158 + }, + { + "epoch": 0.88, + "grad_norm": 1.7050135656661438, + "learning_rate": 8.027612553667308e-07, + "loss": 0.7199, + "step": 37159 + }, + { + "epoch": 0.88, + "grad_norm": 1.769874245567462, + "learning_rate": 8.02461738232404e-07, + "loss": 0.9179, + "step": 37160 + }, + { + "epoch": 0.88, + "grad_norm": 1.5901532023384113, + "learning_rate": 8.021622746490565e-07, + "loss": 0.7585, + "step": 37161 + }, + { + "epoch": 0.88, + "grad_norm": 1.5697238100964455, + "learning_rate": 8.018628646184345e-07, + "loss": 0.7429, + "step": 37162 + }, + { + "epoch": 0.88, + "grad_norm": 1.6636453131507951, + "learning_rate": 8.01563508142279e-07, + "loss": 0.8054, + "step": 37163 + }, + { + "epoch": 0.88, + "grad_norm": 1.7870987791844273, + "learning_rate": 8.012642052223319e-07, + "loss": 0.7658, + "step": 37164 + }, + { + "epoch": 0.88, + "grad_norm": 0.7591660484700018, + "learning_rate": 8.009649558603361e-07, + "loss": 0.6956, + "step": 37165 + }, + { + "epoch": 0.88, + "grad_norm": 1.554391432948271, + "learning_rate": 8.006657600580381e-07, + "loss": 0.8766, + "step": 37166 + }, + { + "epoch": 0.88, + "grad_norm": 1.5990198204498878, + "learning_rate": 8.003666178171732e-07, + "loss": 0.8012, + "step": 37167 + }, + { + "epoch": 0.88, + "grad_norm": 1.4215066356568917, + "learning_rate": 8.000675291394855e-07, + "loss": 0.8451, + "step": 37168 + }, + { + "epoch": 0.88, + "grad_norm": 1.568396281847158, + "learning_rate": 7.997684940267181e-07, + "loss": 0.6993, + "step": 37169 + }, + { + "epoch": 0.88, + "grad_norm": 1.889952382913168, + "learning_rate": 7.994695124806152e-07, + "loss": 0.8555, + "step": 37170 + }, + { + "epoch": 0.88, + "grad_norm": 0.7232883262389526, + "learning_rate": 7.991705845029096e-07, + "loss": 0.6952, + "step": 37171 + }, + { + "epoch": 0.88, + "grad_norm": 1.8468159839196423, + "learning_rate": 7.988717100953458e-07, + "loss": 0.8156, + "step": 37172 + }, + { + "epoch": 0.88, + "grad_norm": 1.8754741979277303, + "learning_rate": 7.985728892596656e-07, + "loss": 0.9714, + "step": 37173 + }, + { + "epoch": 0.88, + "grad_norm": 1.5429822428858784, + "learning_rate": 7.982741219976065e-07, + "loss": 0.9036, + "step": 37174 + }, + { + "epoch": 0.88, + "grad_norm": 2.023956444220997, + "learning_rate": 7.979754083109092e-07, + "loss": 0.7642, + "step": 37175 + }, + { + "epoch": 0.88, + "grad_norm": 1.8223979627895068, + "learning_rate": 7.976767482013115e-07, + "loss": 0.8841, + "step": 37176 + }, + { + "epoch": 0.88, + "grad_norm": 1.7264871624680442, + "learning_rate": 7.973781416705539e-07, + "loss": 0.8272, + "step": 37177 + }, + { + "epoch": 0.88, + "grad_norm": 2.0969594779922, + "learning_rate": 7.970795887203731e-07, + "loss": 0.8586, + "step": 37178 + }, + { + "epoch": 0.88, + "grad_norm": 1.5779488481898032, + "learning_rate": 7.967810893525096e-07, + "loss": 0.7996, + "step": 37179 + }, + { + "epoch": 0.88, + "grad_norm": 1.6271352729664332, + "learning_rate": 7.964826435687001e-07, + "loss": 0.6998, + "step": 37180 + }, + { + "epoch": 0.88, + "grad_norm": 3.340414155090099, + "learning_rate": 7.96184251370683e-07, + "loss": 0.7487, + "step": 37181 + }, + { + "epoch": 0.88, + "grad_norm": 1.708615793314534, + "learning_rate": 7.958859127601937e-07, + "loss": 0.8266, + "step": 37182 + }, + { + "epoch": 0.88, + "grad_norm": 1.6477386908982286, + "learning_rate": 7.955876277389718e-07, + "loss": 0.8546, + "step": 37183 + }, + { + "epoch": 0.88, + "grad_norm": 0.7416368261508042, + "learning_rate": 7.952893963087527e-07, + "loss": 0.6851, + "step": 37184 + }, + { + "epoch": 0.88, + "grad_norm": 1.6956411960258946, + "learning_rate": 7.949912184712716e-07, + "loss": 0.7831, + "step": 37185 + }, + { + "epoch": 0.88, + "grad_norm": 1.976830765923362, + "learning_rate": 7.94693094228266e-07, + "loss": 0.7931, + "step": 37186 + }, + { + "epoch": 0.88, + "grad_norm": 1.6465776594066448, + "learning_rate": 7.943950235814734e-07, + "loss": 0.9147, + "step": 37187 + }, + { + "epoch": 0.88, + "grad_norm": 0.763080486480156, + "learning_rate": 7.94097006532627e-07, + "loss": 0.7128, + "step": 37188 + }, + { + "epoch": 0.88, + "grad_norm": 2.290662063743615, + "learning_rate": 7.937990430834607e-07, + "loss": 0.8763, + "step": 37189 + }, + { + "epoch": 0.88, + "grad_norm": 1.5527554763066393, + "learning_rate": 7.935011332357113e-07, + "loss": 0.8439, + "step": 37190 + }, + { + "epoch": 0.88, + "grad_norm": 2.1316061536201474, + "learning_rate": 7.932032769911146e-07, + "loss": 0.8099, + "step": 37191 + }, + { + "epoch": 0.88, + "grad_norm": 1.6785110655582138, + "learning_rate": 7.929054743514042e-07, + "loss": 0.6515, + "step": 37192 + }, + { + "epoch": 0.88, + "grad_norm": 1.7254814382858705, + "learning_rate": 7.926077253183096e-07, + "loss": 0.7469, + "step": 37193 + }, + { + "epoch": 0.88, + "grad_norm": 1.8000790489541236, + "learning_rate": 7.923100298935693e-07, + "loss": 0.884, + "step": 37194 + }, + { + "epoch": 0.88, + "grad_norm": 1.5011396068815344, + "learning_rate": 7.920123880789155e-07, + "loss": 0.8806, + "step": 37195 + }, + { + "epoch": 0.88, + "grad_norm": 1.9244545671556779, + "learning_rate": 7.917147998760821e-07, + "loss": 0.7466, + "step": 37196 + }, + { + "epoch": 0.88, + "grad_norm": 1.6419595602682469, + "learning_rate": 7.91417265286798e-07, + "loss": 0.7388, + "step": 37197 + }, + { + "epoch": 0.88, + "grad_norm": 1.589189614814259, + "learning_rate": 7.911197843127993e-07, + "loss": 0.7302, + "step": 37198 + }, + { + "epoch": 0.88, + "grad_norm": 1.6403554754951681, + "learning_rate": 7.90822356955816e-07, + "loss": 0.8761, + "step": 37199 + }, + { + "epoch": 0.88, + "grad_norm": 1.734866115898975, + "learning_rate": 7.905249832175809e-07, + "loss": 0.7828, + "step": 37200 + }, + { + "epoch": 0.88, + "grad_norm": 2.1051414642927027, + "learning_rate": 7.90227663099824e-07, + "loss": 0.7927, + "step": 37201 + }, + { + "epoch": 0.88, + "grad_norm": 1.5630798053475192, + "learning_rate": 7.899303966042793e-07, + "loss": 0.8672, + "step": 37202 + }, + { + "epoch": 0.88, + "grad_norm": 1.7966982490226835, + "learning_rate": 7.896331837326743e-07, + "loss": 0.85, + "step": 37203 + }, + { + "epoch": 0.88, + "grad_norm": 1.5469441791070957, + "learning_rate": 7.893360244867421e-07, + "loss": 0.813, + "step": 37204 + }, + { + "epoch": 0.88, + "grad_norm": 1.6014843146790168, + "learning_rate": 7.890389188682112e-07, + "loss": 0.712, + "step": 37205 + }, + { + "epoch": 0.88, + "grad_norm": 1.5300424885900152, + "learning_rate": 7.887418668788104e-07, + "loss": 0.7032, + "step": 37206 + }, + { + "epoch": 0.88, + "grad_norm": 1.4235120620052784, + "learning_rate": 7.884448685202717e-07, + "loss": 0.7822, + "step": 37207 + }, + { + "epoch": 0.88, + "grad_norm": 1.7738278640468819, + "learning_rate": 7.881479237943235e-07, + "loss": 0.9739, + "step": 37208 + }, + { + "epoch": 0.88, + "grad_norm": 1.4346769394413, + "learning_rate": 7.878510327026956e-07, + "loss": 0.7578, + "step": 37209 + }, + { + "epoch": 0.88, + "grad_norm": 1.5485671102767276, + "learning_rate": 7.875541952471133e-07, + "loss": 0.8304, + "step": 37210 + }, + { + "epoch": 0.88, + "grad_norm": 0.7582660523438642, + "learning_rate": 7.872574114293075e-07, + "loss": 0.7012, + "step": 37211 + }, + { + "epoch": 0.88, + "grad_norm": 1.5169134215077726, + "learning_rate": 7.869606812510067e-07, + "loss": 0.8224, + "step": 37212 + }, + { + "epoch": 0.88, + "grad_norm": 1.5481698490011029, + "learning_rate": 7.866640047139384e-07, + "loss": 0.9205, + "step": 37213 + }, + { + "epoch": 0.88, + "grad_norm": 1.5161574467654595, + "learning_rate": 7.863673818198269e-07, + "loss": 0.8685, + "step": 37214 + }, + { + "epoch": 0.88, + "grad_norm": 1.9195287040005866, + "learning_rate": 7.860708125704019e-07, + "loss": 0.6419, + "step": 37215 + }, + { + "epoch": 0.88, + "grad_norm": 2.2643848278257477, + "learning_rate": 7.857742969673909e-07, + "loss": 0.8287, + "step": 37216 + }, + { + "epoch": 0.88, + "grad_norm": 1.8044242916588753, + "learning_rate": 7.854778350125191e-07, + "loss": 0.7703, + "step": 37217 + }, + { + "epoch": 0.88, + "grad_norm": 1.4564278854579482, + "learning_rate": 7.85181426707512e-07, + "loss": 0.9619, + "step": 37218 + }, + { + "epoch": 0.88, + "grad_norm": 1.6835176286877866, + "learning_rate": 7.848850720540968e-07, + "loss": 0.83, + "step": 37219 + }, + { + "epoch": 0.88, + "grad_norm": 1.6157736211641676, + "learning_rate": 7.845887710539957e-07, + "loss": 0.7525, + "step": 37220 + }, + { + "epoch": 0.88, + "grad_norm": 1.5229313917544571, + "learning_rate": 7.842925237089394e-07, + "loss": 0.8047, + "step": 37221 + }, + { + "epoch": 0.88, + "grad_norm": 2.0299721980480405, + "learning_rate": 7.839963300206477e-07, + "loss": 0.708, + "step": 37222 + }, + { + "epoch": 0.88, + "grad_norm": 1.6358820429483376, + "learning_rate": 7.837001899908481e-07, + "loss": 0.6315, + "step": 37223 + }, + { + "epoch": 0.88, + "grad_norm": 1.633124440022307, + "learning_rate": 7.834041036212625e-07, + "loss": 0.9551, + "step": 37224 + }, + { + "epoch": 0.88, + "grad_norm": 2.807833276031316, + "learning_rate": 7.831080709136185e-07, + "loss": 0.6797, + "step": 37225 + }, + { + "epoch": 0.88, + "grad_norm": 1.607811520569836, + "learning_rate": 7.828120918696369e-07, + "loss": 0.7272, + "step": 37226 + }, + { + "epoch": 0.88, + "grad_norm": 1.7769249494546684, + "learning_rate": 7.825161664910397e-07, + "loss": 0.7149, + "step": 37227 + }, + { + "epoch": 0.88, + "grad_norm": 1.551399677870011, + "learning_rate": 7.822202947795509e-07, + "loss": 0.7793, + "step": 37228 + }, + { + "epoch": 0.88, + "grad_norm": 0.7444783293018051, + "learning_rate": 7.81924476736896e-07, + "loss": 0.6748, + "step": 37229 + }, + { + "epoch": 0.88, + "grad_norm": 2.411619272253573, + "learning_rate": 7.816287123647958e-07, + "loss": 0.8618, + "step": 37230 + }, + { + "epoch": 0.88, + "grad_norm": 1.721585991080647, + "learning_rate": 7.813330016649689e-07, + "loss": 0.9613, + "step": 37231 + }, + { + "epoch": 0.88, + "grad_norm": 1.8266505839037885, + "learning_rate": 7.810373446391406e-07, + "loss": 0.8266, + "step": 37232 + }, + { + "epoch": 0.88, + "grad_norm": 1.317305432507087, + "learning_rate": 7.807417412890339e-07, + "loss": 0.8027, + "step": 37233 + }, + { + "epoch": 0.88, + "grad_norm": 0.7640939505792409, + "learning_rate": 7.804461916163663e-07, + "loss": 0.6987, + "step": 37234 + }, + { + "epoch": 0.88, + "grad_norm": 1.5842063961492439, + "learning_rate": 7.801506956228588e-07, + "loss": 0.94, + "step": 37235 + }, + { + "epoch": 0.88, + "grad_norm": 1.5208352323222667, + "learning_rate": 7.798552533102322e-07, + "loss": 0.7639, + "step": 37236 + }, + { + "epoch": 0.88, + "grad_norm": 2.0595320104365147, + "learning_rate": 7.795598646802105e-07, + "loss": 0.82, + "step": 37237 + }, + { + "epoch": 0.88, + "grad_norm": 1.4026165906577672, + "learning_rate": 7.792645297345091e-07, + "loss": 0.7848, + "step": 37238 + }, + { + "epoch": 0.88, + "grad_norm": 1.5629926605931916, + "learning_rate": 7.789692484748479e-07, + "loss": 0.8873, + "step": 37239 + }, + { + "epoch": 0.88, + "grad_norm": 1.7835422717395948, + "learning_rate": 7.786740209029475e-07, + "loss": 0.8349, + "step": 37240 + }, + { + "epoch": 0.88, + "grad_norm": 1.47392281791402, + "learning_rate": 7.783788470205256e-07, + "loss": 0.8494, + "step": 37241 + }, + { + "epoch": 0.88, + "grad_norm": 2.1715406653215314, + "learning_rate": 7.78083726829304e-07, + "loss": 0.7208, + "step": 37242 + }, + { + "epoch": 0.88, + "grad_norm": 2.5740469256236556, + "learning_rate": 7.777886603309958e-07, + "loss": 0.7502, + "step": 37243 + }, + { + "epoch": 0.88, + "grad_norm": 1.4834084265024468, + "learning_rate": 7.774936475273243e-07, + "loss": 0.7107, + "step": 37244 + }, + { + "epoch": 0.88, + "grad_norm": 1.4417067409762419, + "learning_rate": 7.771986884200022e-07, + "loss": 0.8502, + "step": 37245 + }, + { + "epoch": 0.88, + "grad_norm": 1.9060455333925201, + "learning_rate": 7.769037830107484e-07, + "loss": 0.8066, + "step": 37246 + }, + { + "epoch": 0.88, + "grad_norm": 2.041811326014024, + "learning_rate": 7.766089313012859e-07, + "loss": 0.8796, + "step": 37247 + }, + { + "epoch": 0.88, + "grad_norm": 2.2116776743077233, + "learning_rate": 7.763141332933222e-07, + "loss": 0.9175, + "step": 37248 + }, + { + "epoch": 0.88, + "grad_norm": 1.4773697751578438, + "learning_rate": 7.76019388988577e-07, + "loss": 0.7882, + "step": 37249 + }, + { + "epoch": 0.88, + "grad_norm": 1.552763883254829, + "learning_rate": 7.757246983887679e-07, + "loss": 0.7643, + "step": 37250 + }, + { + "epoch": 0.88, + "grad_norm": 1.4074391443812038, + "learning_rate": 7.754300614956134e-07, + "loss": 0.8073, + "step": 37251 + }, + { + "epoch": 0.88, + "grad_norm": 1.6208944856914334, + "learning_rate": 7.751354783108223e-07, + "loss": 0.8502, + "step": 37252 + }, + { + "epoch": 0.88, + "grad_norm": 1.777032578573016, + "learning_rate": 7.748409488361131e-07, + "loss": 0.8807, + "step": 37253 + }, + { + "epoch": 0.88, + "grad_norm": 11.84653195644715, + "learning_rate": 7.745464730732011e-07, + "loss": 0.8409, + "step": 37254 + }, + { + "epoch": 0.88, + "grad_norm": 1.5265642312073848, + "learning_rate": 7.742520510238016e-07, + "loss": 0.8218, + "step": 37255 + }, + { + "epoch": 0.88, + "grad_norm": 1.944650521846336, + "learning_rate": 7.739576826896244e-07, + "loss": 0.8267, + "step": 37256 + }, + { + "epoch": 0.88, + "grad_norm": 1.9104572872062076, + "learning_rate": 7.736633680723882e-07, + "loss": 0.8544, + "step": 37257 + }, + { + "epoch": 0.88, + "grad_norm": 1.8228127877104379, + "learning_rate": 7.733691071738047e-07, + "loss": 0.9122, + "step": 37258 + }, + { + "epoch": 0.88, + "grad_norm": 1.5847251995741323, + "learning_rate": 7.730748999955872e-07, + "loss": 0.8045, + "step": 37259 + }, + { + "epoch": 0.88, + "grad_norm": 0.7515255098637084, + "learning_rate": 7.7278074653945e-07, + "loss": 0.7415, + "step": 37260 + }, + { + "epoch": 0.88, + "grad_norm": 1.7523181872761042, + "learning_rate": 7.724866468071046e-07, + "loss": 0.8163, + "step": 37261 + }, + { + "epoch": 0.88, + "grad_norm": 1.5650807726646445, + "learning_rate": 7.721926008002611e-07, + "loss": 0.802, + "step": 37262 + }, + { + "epoch": 0.88, + "grad_norm": 1.7957616606019318, + "learning_rate": 7.718986085206348e-07, + "loss": 0.844, + "step": 37263 + }, + { + "epoch": 0.88, + "grad_norm": 1.6168351097747475, + "learning_rate": 7.716046699699376e-07, + "loss": 0.8571, + "step": 37264 + }, + { + "epoch": 0.88, + "grad_norm": 1.5534254939884802, + "learning_rate": 7.713107851498791e-07, + "loss": 0.8668, + "step": 37265 + }, + { + "epoch": 0.88, + "grad_norm": 1.6156515979531598, + "learning_rate": 7.710169540621692e-07, + "loss": 0.7512, + "step": 37266 + }, + { + "epoch": 0.88, + "grad_norm": 1.8668809422525812, + "learning_rate": 7.70723176708521e-07, + "loss": 0.8283, + "step": 37267 + }, + { + "epoch": 0.88, + "grad_norm": 1.6583718684665703, + "learning_rate": 7.704294530906487e-07, + "loss": 0.8392, + "step": 37268 + }, + { + "epoch": 0.88, + "grad_norm": 1.7116370750902594, + "learning_rate": 7.70135783210253e-07, + "loss": 0.8544, + "step": 37269 + }, + { + "epoch": 0.88, + "grad_norm": 1.619665860240978, + "learning_rate": 7.698421670690503e-07, + "loss": 0.832, + "step": 37270 + }, + { + "epoch": 0.88, + "grad_norm": 1.7873751233952893, + "learning_rate": 7.695486046687473e-07, + "loss": 0.7567, + "step": 37271 + }, + { + "epoch": 0.88, + "grad_norm": 11.95293337608075, + "learning_rate": 7.692550960110578e-07, + "loss": 0.9035, + "step": 37272 + }, + { + "epoch": 0.88, + "grad_norm": 1.4652215932271344, + "learning_rate": 7.689616410976863e-07, + "loss": 0.9205, + "step": 37273 + }, + { + "epoch": 0.88, + "grad_norm": 0.7930847018450489, + "learning_rate": 7.686682399303425e-07, + "loss": 0.6949, + "step": 37274 + }, + { + "epoch": 0.88, + "grad_norm": 1.765186868215055, + "learning_rate": 7.683748925107348e-07, + "loss": 0.8239, + "step": 37275 + }, + { + "epoch": 0.88, + "grad_norm": 1.6064873003798812, + "learning_rate": 7.680815988405698e-07, + "loss": 0.7387, + "step": 37276 + }, + { + "epoch": 0.88, + "grad_norm": 1.6336374529220485, + "learning_rate": 7.677883589215596e-07, + "loss": 0.8535, + "step": 37277 + }, + { + "epoch": 0.88, + "grad_norm": 1.5665376314657722, + "learning_rate": 7.674951727554058e-07, + "loss": 0.8502, + "step": 37278 + }, + { + "epoch": 0.88, + "grad_norm": 1.6206964705809979, + "learning_rate": 7.672020403438196e-07, + "loss": 0.7304, + "step": 37279 + }, + { + "epoch": 0.88, + "grad_norm": 2.1506302112407054, + "learning_rate": 7.66908961688504e-07, + "loss": 0.7814, + "step": 37280 + }, + { + "epoch": 0.88, + "grad_norm": 1.7244913585749126, + "learning_rate": 7.666159367911696e-07, + "loss": 0.7177, + "step": 37281 + }, + { + "epoch": 0.88, + "grad_norm": 1.7411998958967652, + "learning_rate": 7.663229656535209e-07, + "loss": 0.892, + "step": 37282 + }, + { + "epoch": 0.88, + "grad_norm": 1.4026171660874789, + "learning_rate": 7.66030048277262e-07, + "loss": 0.7951, + "step": 37283 + }, + { + "epoch": 0.88, + "grad_norm": 1.7676277733252914, + "learning_rate": 7.657371846640982e-07, + "loss": 0.7693, + "step": 37284 + }, + { + "epoch": 0.88, + "grad_norm": 0.7722980424379574, + "learning_rate": 7.654443748157391e-07, + "loss": 0.6799, + "step": 37285 + }, + { + "epoch": 0.88, + "grad_norm": 2.175581556019633, + "learning_rate": 7.651516187338859e-07, + "loss": 0.8827, + "step": 37286 + }, + { + "epoch": 0.88, + "grad_norm": 1.5672651155161057, + "learning_rate": 7.648589164202413e-07, + "loss": 0.8984, + "step": 37287 + }, + { + "epoch": 0.88, + "grad_norm": 1.7488739826847244, + "learning_rate": 7.645662678765131e-07, + "loss": 0.7439, + "step": 37288 + }, + { + "epoch": 0.88, + "grad_norm": 1.9032980901745427, + "learning_rate": 7.642736731044043e-07, + "loss": 0.8807, + "step": 37289 + }, + { + "epoch": 0.88, + "grad_norm": 5.12051433055579, + "learning_rate": 7.639811321056189e-07, + "loss": 0.7774, + "step": 37290 + }, + { + "epoch": 0.88, + "grad_norm": 1.5988452078256512, + "learning_rate": 7.636886448818582e-07, + "loss": 0.9749, + "step": 37291 + }, + { + "epoch": 0.88, + "grad_norm": 1.4350288042399608, + "learning_rate": 7.633962114348259e-07, + "loss": 0.8808, + "step": 37292 + }, + { + "epoch": 0.88, + "grad_norm": 1.530926071436605, + "learning_rate": 7.631038317662265e-07, + "loss": 0.8289, + "step": 37293 + }, + { + "epoch": 0.88, + "grad_norm": 1.5869237153603337, + "learning_rate": 7.628115058777619e-07, + "loss": 0.7695, + "step": 37294 + }, + { + "epoch": 0.88, + "grad_norm": 1.5690159554349943, + "learning_rate": 7.625192337711306e-07, + "loss": 0.8795, + "step": 37295 + }, + { + "epoch": 0.88, + "grad_norm": 1.6062710723693183, + "learning_rate": 7.622270154480382e-07, + "loss": 0.8463, + "step": 37296 + }, + { + "epoch": 0.88, + "grad_norm": 1.4938222052052332, + "learning_rate": 7.619348509101843e-07, + "loss": 0.8752, + "step": 37297 + }, + { + "epoch": 0.88, + "grad_norm": 1.7213980161996834, + "learning_rate": 7.616427401592708e-07, + "loss": 0.8048, + "step": 37298 + }, + { + "epoch": 0.88, + "grad_norm": 1.516264503016187, + "learning_rate": 7.613506831969975e-07, + "loss": 0.7374, + "step": 37299 + }, + { + "epoch": 0.88, + "grad_norm": 1.6434508645459194, + "learning_rate": 7.610586800250663e-07, + "loss": 0.7692, + "step": 37300 + }, + { + "epoch": 0.88, + "grad_norm": 1.7538732830779957, + "learning_rate": 7.607667306451749e-07, + "loss": 0.7213, + "step": 37301 + }, + { + "epoch": 0.88, + "grad_norm": 1.7265265934245198, + "learning_rate": 7.604748350590274e-07, + "loss": 0.873, + "step": 37302 + }, + { + "epoch": 0.88, + "grad_norm": 2.368417019262874, + "learning_rate": 7.60182993268318e-07, + "loss": 0.8398, + "step": 37303 + }, + { + "epoch": 0.88, + "grad_norm": 2.422690832799582, + "learning_rate": 7.598912052747498e-07, + "loss": 0.926, + "step": 37304 + }, + { + "epoch": 0.88, + "grad_norm": 1.4775016391336298, + "learning_rate": 7.595994710800192e-07, + "loss": 0.7722, + "step": 37305 + }, + { + "epoch": 0.88, + "grad_norm": 1.6562874451580374, + "learning_rate": 7.593077906858281e-07, + "loss": 0.8813, + "step": 37306 + }, + { + "epoch": 0.88, + "grad_norm": 0.7755827526091019, + "learning_rate": 7.59016164093872e-07, + "loss": 0.7016, + "step": 37307 + }, + { + "epoch": 0.88, + "grad_norm": 1.6753822400403728, + "learning_rate": 7.587245913058472e-07, + "loss": 0.8231, + "step": 37308 + }, + { + "epoch": 0.88, + "grad_norm": 1.59685851003108, + "learning_rate": 7.584330723234545e-07, + "loss": 0.9568, + "step": 37309 + }, + { + "epoch": 0.88, + "grad_norm": 1.467702919664508, + "learning_rate": 7.581416071483915e-07, + "loss": 0.8771, + "step": 37310 + }, + { + "epoch": 0.88, + "grad_norm": 1.429569918977498, + "learning_rate": 7.578501957823547e-07, + "loss": 0.8172, + "step": 37311 + }, + { + "epoch": 0.88, + "grad_norm": 1.5137672963752513, + "learning_rate": 7.575588382270372e-07, + "loss": 0.8211, + "step": 37312 + }, + { + "epoch": 0.88, + "grad_norm": 1.566589656002274, + "learning_rate": 7.572675344841396e-07, + "loss": 0.9075, + "step": 37313 + }, + { + "epoch": 0.88, + "grad_norm": 1.9024284138672038, + "learning_rate": 7.569762845553574e-07, + "loss": 0.8745, + "step": 37314 + }, + { + "epoch": 0.88, + "grad_norm": 0.7542404158968606, + "learning_rate": 7.566850884423859e-07, + "loss": 0.7133, + "step": 37315 + }, + { + "epoch": 0.88, + "grad_norm": 1.7446014218863954, + "learning_rate": 7.563939461469183e-07, + "loss": 0.7666, + "step": 37316 + }, + { + "epoch": 0.88, + "grad_norm": 1.9271362367971396, + "learning_rate": 7.561028576706519e-07, + "loss": 0.8105, + "step": 37317 + }, + { + "epoch": 0.88, + "grad_norm": 1.5759087224377906, + "learning_rate": 7.558118230152822e-07, + "loss": 0.9113, + "step": 37318 + }, + { + "epoch": 0.88, + "grad_norm": 1.9547200051799327, + "learning_rate": 7.555208421825033e-07, + "loss": 0.781, + "step": 37319 + }, + { + "epoch": 0.88, + "grad_norm": 0.7709335279830816, + "learning_rate": 7.552299151740072e-07, + "loss": 0.7195, + "step": 37320 + }, + { + "epoch": 0.88, + "grad_norm": 1.83715125890541, + "learning_rate": 7.549390419914915e-07, + "loss": 0.8534, + "step": 37321 + }, + { + "epoch": 0.88, + "grad_norm": 1.462695165168517, + "learning_rate": 7.546482226366447e-07, + "loss": 0.8769, + "step": 37322 + }, + { + "epoch": 0.88, + "grad_norm": 1.5823999324660984, + "learning_rate": 7.543574571111656e-07, + "loss": 0.8796, + "step": 37323 + }, + { + "epoch": 0.88, + "grad_norm": 0.7798690309073802, + "learning_rate": 7.540667454167427e-07, + "loss": 0.6761, + "step": 37324 + }, + { + "epoch": 0.88, + "grad_norm": 1.5798620411770932, + "learning_rate": 7.537760875550714e-07, + "loss": 0.9093, + "step": 37325 + }, + { + "epoch": 0.88, + "grad_norm": 1.6447186970930383, + "learning_rate": 7.534854835278427e-07, + "loss": 0.7633, + "step": 37326 + }, + { + "epoch": 0.88, + "grad_norm": 1.7373719913658372, + "learning_rate": 7.531949333367495e-07, + "loss": 0.8205, + "step": 37327 + }, + { + "epoch": 0.88, + "grad_norm": 1.6930873977199024, + "learning_rate": 7.529044369834826e-07, + "loss": 0.9023, + "step": 37328 + }, + { + "epoch": 0.88, + "grad_norm": 1.7794928882590642, + "learning_rate": 7.526139944697331e-07, + "loss": 0.798, + "step": 37329 + }, + { + "epoch": 0.88, + "grad_norm": 1.7087712596096616, + "learning_rate": 7.523236057971917e-07, + "loss": 0.7974, + "step": 37330 + }, + { + "epoch": 0.88, + "grad_norm": 1.5549172143436143, + "learning_rate": 7.520332709675504e-07, + "loss": 0.7711, + "step": 37331 + }, + { + "epoch": 0.88, + "grad_norm": 1.6038687085085441, + "learning_rate": 7.517429899825035e-07, + "loss": 0.7303, + "step": 37332 + }, + { + "epoch": 0.88, + "grad_norm": 1.6743345761641246, + "learning_rate": 7.514527628437318e-07, + "loss": 0.88, + "step": 37333 + }, + { + "epoch": 0.88, + "grad_norm": 1.5546082758456305, + "learning_rate": 7.511625895529317e-07, + "loss": 0.8779, + "step": 37334 + }, + { + "epoch": 0.88, + "grad_norm": 1.5765672973609974, + "learning_rate": 7.50872470111792e-07, + "loss": 0.9611, + "step": 37335 + }, + { + "epoch": 0.88, + "grad_norm": 1.5368532804110588, + "learning_rate": 7.505824045220012e-07, + "loss": 0.9135, + "step": 37336 + }, + { + "epoch": 0.88, + "grad_norm": 1.5629826784219696, + "learning_rate": 7.502923927852457e-07, + "loss": 0.635, + "step": 37337 + }, + { + "epoch": 0.88, + "grad_norm": 1.70538843558322, + "learning_rate": 7.500024349032165e-07, + "loss": 0.9342, + "step": 37338 + }, + { + "epoch": 0.88, + "grad_norm": 1.4334714098397923, + "learning_rate": 7.497125308776043e-07, + "loss": 0.8756, + "step": 37339 + }, + { + "epoch": 0.88, + "grad_norm": 1.7093408044821106, + "learning_rate": 7.494226807100935e-07, + "loss": 0.845, + "step": 37340 + }, + { + "epoch": 0.88, + "grad_norm": 1.4895103259469504, + "learning_rate": 7.491328844023704e-07, + "loss": 0.7792, + "step": 37341 + }, + { + "epoch": 0.88, + "grad_norm": 1.6479991391709459, + "learning_rate": 7.48843141956127e-07, + "loss": 0.8785, + "step": 37342 + }, + { + "epoch": 0.88, + "grad_norm": 1.6991944591865993, + "learning_rate": 7.485534533730454e-07, + "loss": 0.9044, + "step": 37343 + }, + { + "epoch": 0.88, + "grad_norm": 1.5704270681801742, + "learning_rate": 7.482638186548153e-07, + "loss": 0.8741, + "step": 37344 + }, + { + "epoch": 0.88, + "grad_norm": 1.7741152183050164, + "learning_rate": 7.47974237803123e-07, + "loss": 0.7868, + "step": 37345 + }, + { + "epoch": 0.88, + "grad_norm": 1.7916086421142792, + "learning_rate": 7.47684710819655e-07, + "loss": 0.8178, + "step": 37346 + }, + { + "epoch": 0.88, + "grad_norm": 1.604470367408067, + "learning_rate": 7.473952377060934e-07, + "loss": 0.8981, + "step": 37347 + }, + { + "epoch": 0.88, + "grad_norm": 1.996680704716585, + "learning_rate": 7.471058184641255e-07, + "loss": 0.9338, + "step": 37348 + }, + { + "epoch": 0.88, + "grad_norm": 1.5911570151197125, + "learning_rate": 7.468164530954414e-07, + "loss": 0.8783, + "step": 37349 + }, + { + "epoch": 0.88, + "grad_norm": 1.6710885901957189, + "learning_rate": 7.465271416017172e-07, + "loss": 0.711, + "step": 37350 + }, + { + "epoch": 0.88, + "grad_norm": 1.4230181608606813, + "learning_rate": 7.462378839846419e-07, + "loss": 0.7352, + "step": 37351 + }, + { + "epoch": 0.88, + "grad_norm": 1.6670351059231978, + "learning_rate": 7.459486802458993e-07, + "loss": 0.8138, + "step": 37352 + }, + { + "epoch": 0.88, + "grad_norm": 1.7368270092253908, + "learning_rate": 7.456595303871772e-07, + "loss": 0.7591, + "step": 37353 + }, + { + "epoch": 0.88, + "grad_norm": 1.518857038720256, + "learning_rate": 7.453704344101509e-07, + "loss": 0.8264, + "step": 37354 + }, + { + "epoch": 0.88, + "grad_norm": 0.8133121169671094, + "learning_rate": 7.45081392316509e-07, + "loss": 0.7178, + "step": 37355 + }, + { + "epoch": 0.88, + "grad_norm": 1.594281345854837, + "learning_rate": 7.447924041079347e-07, + "loss": 0.8233, + "step": 37356 + }, + { + "epoch": 0.88, + "grad_norm": 1.7914722169629522, + "learning_rate": 7.445034697861064e-07, + "loss": 0.9177, + "step": 37357 + }, + { + "epoch": 0.88, + "grad_norm": 1.5779711497588742, + "learning_rate": 7.442145893527119e-07, + "loss": 0.794, + "step": 37358 + }, + { + "epoch": 0.88, + "grad_norm": 1.756399349170966, + "learning_rate": 7.439257628094288e-07, + "loss": 0.839, + "step": 37359 + }, + { + "epoch": 0.88, + "grad_norm": 0.7985935395564792, + "learning_rate": 7.43636990157941e-07, + "loss": 0.7609, + "step": 37360 + }, + { + "epoch": 0.88, + "grad_norm": 0.7521607292378062, + "learning_rate": 7.433482713999285e-07, + "loss": 0.7015, + "step": 37361 + }, + { + "epoch": 0.88, + "grad_norm": 1.81641876520183, + "learning_rate": 7.430596065370743e-07, + "loss": 0.6817, + "step": 37362 + }, + { + "epoch": 0.88, + "grad_norm": 1.873737210381998, + "learning_rate": 7.427709955710572e-07, + "loss": 0.7754, + "step": 37363 + }, + { + "epoch": 0.88, + "grad_norm": 1.6660543933175191, + "learning_rate": 7.424824385035568e-07, + "loss": 0.8444, + "step": 37364 + }, + { + "epoch": 0.88, + "grad_norm": 1.6168308672687859, + "learning_rate": 7.42193935336255e-07, + "loss": 0.8773, + "step": 37365 + }, + { + "epoch": 0.88, + "grad_norm": 1.5763480099939595, + "learning_rate": 7.419054860708319e-07, + "loss": 0.8279, + "step": 37366 + }, + { + "epoch": 0.88, + "grad_norm": 1.477269673048963, + "learning_rate": 7.416170907089671e-07, + "loss": 0.8379, + "step": 37367 + }, + { + "epoch": 0.88, + "grad_norm": 0.740786862069943, + "learning_rate": 7.413287492523369e-07, + "loss": 0.7004, + "step": 37368 + }, + { + "epoch": 0.88, + "grad_norm": 1.4766942467206527, + "learning_rate": 7.410404617026212e-07, + "loss": 0.9145, + "step": 37369 + }, + { + "epoch": 0.88, + "grad_norm": 1.530071435209299, + "learning_rate": 7.40752228061502e-07, + "loss": 0.8159, + "step": 37370 + }, + { + "epoch": 0.88, + "grad_norm": 1.7531030827988368, + "learning_rate": 7.404640483306536e-07, + "loss": 0.8192, + "step": 37371 + }, + { + "epoch": 0.88, + "grad_norm": 1.6018609557516836, + "learning_rate": 7.401759225117544e-07, + "loss": 0.795, + "step": 37372 + }, + { + "epoch": 0.88, + "grad_norm": 1.902549294814886, + "learning_rate": 7.398878506064821e-07, + "loss": 0.7443, + "step": 37373 + }, + { + "epoch": 0.88, + "grad_norm": 1.8627599066116332, + "learning_rate": 7.395998326165165e-07, + "loss": 0.7549, + "step": 37374 + }, + { + "epoch": 0.88, + "grad_norm": 1.5862797165083764, + "learning_rate": 7.393118685435319e-07, + "loss": 0.932, + "step": 37375 + }, + { + "epoch": 0.88, + "grad_norm": 1.8390777324786662, + "learning_rate": 7.390239583892045e-07, + "loss": 0.808, + "step": 37376 + }, + { + "epoch": 0.88, + "grad_norm": 0.8460880279058582, + "learning_rate": 7.38736102155212e-07, + "loss": 0.7048, + "step": 37377 + }, + { + "epoch": 0.88, + "grad_norm": 1.6239360001322105, + "learning_rate": 7.384482998432296e-07, + "loss": 0.7555, + "step": 37378 + }, + { + "epoch": 0.88, + "grad_norm": 1.575643490026665, + "learning_rate": 7.381605514549339e-07, + "loss": 0.6765, + "step": 37379 + }, + { + "epoch": 0.88, + "grad_norm": 1.5246283720876197, + "learning_rate": 7.378728569919991e-07, + "loss": 0.8536, + "step": 37380 + }, + { + "epoch": 0.88, + "grad_norm": 1.7778324136135095, + "learning_rate": 7.375852164561026e-07, + "loss": 0.8014, + "step": 37381 + }, + { + "epoch": 0.88, + "grad_norm": 1.4471742813375017, + "learning_rate": 7.372976298489154e-07, + "loss": 0.8036, + "step": 37382 + }, + { + "epoch": 0.88, + "grad_norm": 1.705723676886154, + "learning_rate": 7.370100971721151e-07, + "loss": 0.8684, + "step": 37383 + }, + { + "epoch": 0.88, + "grad_norm": 1.6459503365148265, + "learning_rate": 7.367226184273746e-07, + "loss": 0.8002, + "step": 37384 + }, + { + "epoch": 0.88, + "grad_norm": 1.535720717514302, + "learning_rate": 7.364351936163672e-07, + "loss": 0.9589, + "step": 37385 + }, + { + "epoch": 0.88, + "grad_norm": 1.5070186062236244, + "learning_rate": 7.361478227407659e-07, + "loss": 0.8141, + "step": 37386 + }, + { + "epoch": 0.88, + "grad_norm": 0.802111319374711, + "learning_rate": 7.358605058022461e-07, + "loss": 0.7145, + "step": 37387 + }, + { + "epoch": 0.88, + "grad_norm": 0.7765716471318628, + "learning_rate": 7.355732428024808e-07, + "loss": 0.6914, + "step": 37388 + }, + { + "epoch": 0.88, + "grad_norm": 0.801193752437951, + "learning_rate": 7.352860337431389e-07, + "loss": 0.7477, + "step": 37389 + }, + { + "epoch": 0.88, + "grad_norm": 1.8797409424258322, + "learning_rate": 7.349988786258944e-07, + "loss": 0.8308, + "step": 37390 + }, + { + "epoch": 0.88, + "grad_norm": 1.6628072296722807, + "learning_rate": 7.347117774524215e-07, + "loss": 0.7905, + "step": 37391 + }, + { + "epoch": 0.88, + "grad_norm": 1.3896605161423752, + "learning_rate": 7.344247302243901e-07, + "loss": 0.8509, + "step": 37392 + }, + { + "epoch": 0.88, + "grad_norm": 1.413775499949445, + "learning_rate": 7.3413773694347e-07, + "loss": 0.7801, + "step": 37393 + }, + { + "epoch": 0.88, + "grad_norm": 0.7593058409816722, + "learning_rate": 7.338507976113329e-07, + "loss": 0.6743, + "step": 37394 + }, + { + "epoch": 0.88, + "grad_norm": 1.6548667622651971, + "learning_rate": 7.335639122296522e-07, + "loss": 0.8456, + "step": 37395 + }, + { + "epoch": 0.88, + "grad_norm": 1.7077454197019346, + "learning_rate": 7.332770808000955e-07, + "loss": 0.8917, + "step": 37396 + }, + { + "epoch": 0.88, + "grad_norm": 2.7031962990380225, + "learning_rate": 7.329903033243324e-07, + "loss": 0.8331, + "step": 37397 + }, + { + "epoch": 0.88, + "grad_norm": 1.5948024111654715, + "learning_rate": 7.32703579804036e-07, + "loss": 0.8917, + "step": 37398 + }, + { + "epoch": 0.88, + "grad_norm": 1.555880948421636, + "learning_rate": 7.324169102408707e-07, + "loss": 0.8208, + "step": 37399 + }, + { + "epoch": 0.88, + "grad_norm": 1.5571926981928064, + "learning_rate": 7.321302946365094e-07, + "loss": 0.8208, + "step": 37400 + }, + { + "epoch": 0.88, + "grad_norm": 1.607495511574792, + "learning_rate": 7.318437329926187e-07, + "loss": 0.7946, + "step": 37401 + }, + { + "epoch": 0.88, + "grad_norm": 0.7732128267371472, + "learning_rate": 7.315572253108694e-07, + "loss": 0.7255, + "step": 37402 + }, + { + "epoch": 0.88, + "grad_norm": 1.6051663087367327, + "learning_rate": 7.312707715929268e-07, + "loss": 0.9354, + "step": 37403 + }, + { + "epoch": 0.88, + "grad_norm": 2.134270527591394, + "learning_rate": 7.309843718404619e-07, + "loss": 0.8152, + "step": 37404 + }, + { + "epoch": 0.88, + "grad_norm": 1.5826632080596656, + "learning_rate": 7.306980260551411e-07, + "loss": 0.836, + "step": 37405 + }, + { + "epoch": 0.88, + "grad_norm": 1.4883201104108457, + "learning_rate": 7.304117342386286e-07, + "loss": 0.8424, + "step": 37406 + }, + { + "epoch": 0.88, + "grad_norm": 1.8930676316423858, + "learning_rate": 7.301254963925941e-07, + "loss": 0.8484, + "step": 37407 + }, + { + "epoch": 0.88, + "grad_norm": 1.6270986453073712, + "learning_rate": 7.298393125187054e-07, + "loss": 0.791, + "step": 37408 + }, + { + "epoch": 0.88, + "grad_norm": 1.6091316880520767, + "learning_rate": 7.295531826186264e-07, + "loss": 0.85, + "step": 37409 + }, + { + "epoch": 0.88, + "grad_norm": 1.4981721521972808, + "learning_rate": 7.292671066940226e-07, + "loss": 0.7232, + "step": 37410 + }, + { + "epoch": 0.88, + "grad_norm": 1.700408164343747, + "learning_rate": 7.289810847465606e-07, + "loss": 0.7709, + "step": 37411 + }, + { + "epoch": 0.88, + "grad_norm": 2.9725870506887744, + "learning_rate": 7.286951167779077e-07, + "loss": 0.8473, + "step": 37412 + }, + { + "epoch": 0.88, + "grad_norm": 1.814922125127407, + "learning_rate": 7.284092027897272e-07, + "loss": 0.7186, + "step": 37413 + }, + { + "epoch": 0.88, + "grad_norm": 1.5762667211024886, + "learning_rate": 7.28123342783682e-07, + "loss": 1.0056, + "step": 37414 + }, + { + "epoch": 0.88, + "grad_norm": 1.796699796740834, + "learning_rate": 7.278375367614377e-07, + "loss": 0.828, + "step": 37415 + }, + { + "epoch": 0.88, + "grad_norm": 1.5042955784815608, + "learning_rate": 7.275517847246604e-07, + "loss": 0.8644, + "step": 37416 + }, + { + "epoch": 0.88, + "grad_norm": 1.6356843851324354, + "learning_rate": 7.272660866750125e-07, + "loss": 0.7981, + "step": 37417 + }, + { + "epoch": 0.88, + "grad_norm": 1.6974321061201862, + "learning_rate": 7.269804426141558e-07, + "loss": 0.9495, + "step": 37418 + }, + { + "epoch": 0.88, + "grad_norm": 1.5193452219398036, + "learning_rate": 7.266948525437556e-07, + "loss": 0.8209, + "step": 37419 + }, + { + "epoch": 0.88, + "grad_norm": 2.037256651853334, + "learning_rate": 7.264093164654728e-07, + "loss": 0.8405, + "step": 37420 + }, + { + "epoch": 0.88, + "grad_norm": 1.5866919245399815, + "learning_rate": 7.261238343809728e-07, + "loss": 0.7494, + "step": 37421 + }, + { + "epoch": 0.88, + "grad_norm": 1.6988528670272078, + "learning_rate": 7.258384062919144e-07, + "loss": 0.8174, + "step": 37422 + }, + { + "epoch": 0.88, + "grad_norm": 1.8402944695978227, + "learning_rate": 7.255530321999616e-07, + "loss": 0.8227, + "step": 37423 + }, + { + "epoch": 0.88, + "grad_norm": 1.5343853845537463, + "learning_rate": 7.252677121067742e-07, + "loss": 0.7469, + "step": 37424 + }, + { + "epoch": 0.88, + "grad_norm": 4.761266958535805, + "learning_rate": 7.249824460140165e-07, + "loss": 0.7929, + "step": 37425 + }, + { + "epoch": 0.88, + "grad_norm": 1.4891010786855439, + "learning_rate": 7.246972339233449e-07, + "loss": 0.8547, + "step": 37426 + }, + { + "epoch": 0.88, + "grad_norm": 1.6262768625267556, + "learning_rate": 7.244120758364248e-07, + "loss": 0.8625, + "step": 37427 + }, + { + "epoch": 0.88, + "grad_norm": 1.6309442871547009, + "learning_rate": 7.241269717549126e-07, + "loss": 0.8736, + "step": 37428 + }, + { + "epoch": 0.88, + "grad_norm": 1.6362507526487418, + "learning_rate": 7.238419216804693e-07, + "loss": 0.846, + "step": 37429 + }, + { + "epoch": 0.88, + "grad_norm": 1.6212888999468307, + "learning_rate": 7.23556925614759e-07, + "loss": 0.8448, + "step": 37430 + }, + { + "epoch": 0.88, + "grad_norm": 1.6034278194366063, + "learning_rate": 7.232719835594337e-07, + "loss": 0.8192, + "step": 37431 + }, + { + "epoch": 0.88, + "grad_norm": 1.555413761113243, + "learning_rate": 7.229870955161555e-07, + "loss": 0.8881, + "step": 37432 + }, + { + "epoch": 0.88, + "grad_norm": 1.5118330967628464, + "learning_rate": 7.227022614865841e-07, + "loss": 0.7984, + "step": 37433 + }, + { + "epoch": 0.88, + "grad_norm": 1.6822059790861064, + "learning_rate": 7.224174814723794e-07, + "loss": 0.8331, + "step": 37434 + }, + { + "epoch": 0.88, + "grad_norm": 0.7465080064858721, + "learning_rate": 7.221327554751956e-07, + "loss": 0.7044, + "step": 37435 + }, + { + "epoch": 0.88, + "grad_norm": 1.6223181719841395, + "learning_rate": 7.218480834966912e-07, + "loss": 0.8812, + "step": 37436 + }, + { + "epoch": 0.88, + "grad_norm": 1.541817005122465, + "learning_rate": 7.215634655385273e-07, + "loss": 0.8135, + "step": 37437 + }, + { + "epoch": 0.88, + "grad_norm": 1.5111189353887358, + "learning_rate": 7.212789016023569e-07, + "loss": 0.7917, + "step": 37438 + }, + { + "epoch": 0.88, + "grad_norm": 0.7772613643399363, + "learning_rate": 7.209943916898377e-07, + "loss": 0.6503, + "step": 37439 + }, + { + "epoch": 0.88, + "grad_norm": 1.454380509279572, + "learning_rate": 7.20709935802627e-07, + "loss": 0.7544, + "step": 37440 + }, + { + "epoch": 0.88, + "grad_norm": 1.7940993341864788, + "learning_rate": 7.204255339423815e-07, + "loss": 0.8906, + "step": 37441 + }, + { + "epoch": 0.88, + "grad_norm": 1.5893334900307585, + "learning_rate": 7.201411861107555e-07, + "loss": 0.8368, + "step": 37442 + }, + { + "epoch": 0.88, + "grad_norm": 1.5920886252131323, + "learning_rate": 7.198568923094074e-07, + "loss": 0.8721, + "step": 37443 + }, + { + "epoch": 0.88, + "grad_norm": 1.7516197787974168, + "learning_rate": 7.195726525399905e-07, + "loss": 0.8811, + "step": 37444 + }, + { + "epoch": 0.88, + "grad_norm": 1.502250604586942, + "learning_rate": 7.192884668041578e-07, + "loss": 0.839, + "step": 37445 + }, + { + "epoch": 0.88, + "grad_norm": 1.4789399238550132, + "learning_rate": 7.190043351035658e-07, + "loss": 0.8026, + "step": 37446 + }, + { + "epoch": 0.88, + "grad_norm": 1.3586822855700236, + "learning_rate": 7.187202574398699e-07, + "loss": 0.7509, + "step": 37447 + }, + { + "epoch": 0.88, + "grad_norm": 0.7369073924549308, + "learning_rate": 7.184362338147244e-07, + "loss": 0.7469, + "step": 37448 + }, + { + "epoch": 0.88, + "grad_norm": 1.6246509314273339, + "learning_rate": 7.181522642297789e-07, + "loss": 0.7957, + "step": 37449 + }, + { + "epoch": 0.88, + "grad_norm": 1.4065540278954187, + "learning_rate": 7.178683486866899e-07, + "loss": 0.8333, + "step": 37450 + }, + { + "epoch": 0.88, + "grad_norm": 1.8518734097309497, + "learning_rate": 7.175844871871129e-07, + "loss": 0.726, + "step": 37451 + }, + { + "epoch": 0.88, + "grad_norm": 1.9032848729884029, + "learning_rate": 7.173006797326954e-07, + "loss": 0.806, + "step": 37452 + }, + { + "epoch": 0.88, + "grad_norm": 1.6617030027705564, + "learning_rate": 7.170169263250914e-07, + "loss": 1.0452, + "step": 37453 + }, + { + "epoch": 0.88, + "grad_norm": 0.7212031774457734, + "learning_rate": 7.167332269659544e-07, + "loss": 0.6456, + "step": 37454 + }, + { + "epoch": 0.88, + "grad_norm": 1.5951862477138106, + "learning_rate": 7.164495816569373e-07, + "loss": 0.7704, + "step": 37455 + }, + { + "epoch": 0.88, + "grad_norm": 1.4602053584990036, + "learning_rate": 7.161659903996887e-07, + "loss": 0.8557, + "step": 37456 + }, + { + "epoch": 0.88, + "grad_norm": 4.675314748273822, + "learning_rate": 7.158824531958608e-07, + "loss": 0.671, + "step": 37457 + }, + { + "epoch": 0.88, + "grad_norm": 1.6829082903091837, + "learning_rate": 7.155989700471056e-07, + "loss": 0.768, + "step": 37458 + }, + { + "epoch": 0.88, + "grad_norm": 1.7038550664863863, + "learning_rate": 7.153155409550705e-07, + "loss": 0.8509, + "step": 37459 + }, + { + "epoch": 0.88, + "grad_norm": 1.6025448591774287, + "learning_rate": 7.150321659214099e-07, + "loss": 0.8002, + "step": 37460 + }, + { + "epoch": 0.88, + "grad_norm": 1.9337766010893611, + "learning_rate": 7.14748844947769e-07, + "loss": 0.8511, + "step": 37461 + }, + { + "epoch": 0.88, + "grad_norm": 1.4484705572107197, + "learning_rate": 7.144655780358034e-07, + "loss": 0.7624, + "step": 37462 + }, + { + "epoch": 0.88, + "grad_norm": 1.788408430599611, + "learning_rate": 7.14182365187156e-07, + "loss": 0.8282, + "step": 37463 + }, + { + "epoch": 0.88, + "grad_norm": 1.6429445286705402, + "learning_rate": 7.138992064034811e-07, + "loss": 0.8551, + "step": 37464 + }, + { + "epoch": 0.88, + "grad_norm": 1.6404102356235226, + "learning_rate": 7.136161016864241e-07, + "loss": 0.7674, + "step": 37465 + }, + { + "epoch": 0.88, + "grad_norm": 1.5903657196323975, + "learning_rate": 7.133330510376335e-07, + "loss": 0.8171, + "step": 37466 + }, + { + "epoch": 0.88, + "grad_norm": 1.548344084903198, + "learning_rate": 7.13050054458757e-07, + "loss": 0.8556, + "step": 37467 + }, + { + "epoch": 0.88, + "grad_norm": 1.745820487141187, + "learning_rate": 7.127671119514456e-07, + "loss": 0.7706, + "step": 37468 + }, + { + "epoch": 0.88, + "grad_norm": 2.34869962559308, + "learning_rate": 7.124842235173445e-07, + "loss": 0.7575, + "step": 37469 + }, + { + "epoch": 0.88, + "grad_norm": 1.6187961178644927, + "learning_rate": 7.122013891580981e-07, + "loss": 0.7695, + "step": 37470 + }, + { + "epoch": 0.88, + "grad_norm": 1.681767667259237, + "learning_rate": 7.11918608875356e-07, + "loss": 0.9101, + "step": 37471 + }, + { + "epoch": 0.88, + "grad_norm": 1.8206000701597589, + "learning_rate": 7.11635882670767e-07, + "loss": 0.7509, + "step": 37472 + }, + { + "epoch": 0.88, + "grad_norm": 1.7270401909534225, + "learning_rate": 7.113532105459731e-07, + "loss": 0.7693, + "step": 37473 + }, + { + "epoch": 0.88, + "grad_norm": 1.8421316312895568, + "learning_rate": 7.110705925026207e-07, + "loss": 0.7312, + "step": 37474 + }, + { + "epoch": 0.88, + "grad_norm": 0.7494947400095963, + "learning_rate": 7.107880285423563e-07, + "loss": 0.7499, + "step": 37475 + }, + { + "epoch": 0.88, + "grad_norm": 1.6095451249437513, + "learning_rate": 7.105055186668264e-07, + "loss": 0.8865, + "step": 37476 + }, + { + "epoch": 0.88, + "grad_norm": 1.785619996329725, + "learning_rate": 7.10223062877674e-07, + "loss": 0.8016, + "step": 37477 + }, + { + "epoch": 0.88, + "grad_norm": 1.7079550716966374, + "learning_rate": 7.099406611765425e-07, + "loss": 0.8141, + "step": 37478 + }, + { + "epoch": 0.88, + "grad_norm": 1.4348403801100085, + "learning_rate": 7.096583135650792e-07, + "loss": 0.875, + "step": 37479 + }, + { + "epoch": 0.88, + "grad_norm": 1.4801974297416984, + "learning_rate": 7.093760200449251e-07, + "loss": 0.8276, + "step": 37480 + }, + { + "epoch": 0.88, + "grad_norm": 2.288960144546922, + "learning_rate": 7.090937806177267e-07, + "loss": 0.8472, + "step": 37481 + }, + { + "epoch": 0.88, + "grad_norm": 1.7300999099796521, + "learning_rate": 7.088115952851238e-07, + "loss": 0.8297, + "step": 37482 + }, + { + "epoch": 0.88, + "grad_norm": 1.6723432225569783, + "learning_rate": 7.085294640487639e-07, + "loss": 0.7132, + "step": 37483 + }, + { + "epoch": 0.88, + "grad_norm": 1.8873965406017763, + "learning_rate": 7.082473869102846e-07, + "loss": 0.8377, + "step": 37484 + }, + { + "epoch": 0.88, + "grad_norm": 1.5379176609765508, + "learning_rate": 7.079653638713324e-07, + "loss": 0.7786, + "step": 37485 + }, + { + "epoch": 0.88, + "grad_norm": 1.664570855812453, + "learning_rate": 7.076833949335482e-07, + "loss": 0.8012, + "step": 37486 + }, + { + "epoch": 0.88, + "grad_norm": 1.422846387952423, + "learning_rate": 7.074014800985718e-07, + "loss": 0.8887, + "step": 37487 + }, + { + "epoch": 0.88, + "grad_norm": 1.8912897448719026, + "learning_rate": 7.071196193680452e-07, + "loss": 0.7851, + "step": 37488 + }, + { + "epoch": 0.88, + "grad_norm": 1.599940845588634, + "learning_rate": 7.068378127436115e-07, + "loss": 0.7702, + "step": 37489 + }, + { + "epoch": 0.88, + "grad_norm": 1.836366081402133, + "learning_rate": 7.065560602269106e-07, + "loss": 0.8865, + "step": 37490 + }, + { + "epoch": 0.88, + "grad_norm": 2.3754925455082554, + "learning_rate": 7.062743618195822e-07, + "loss": 0.788, + "step": 37491 + }, + { + "epoch": 0.88, + "grad_norm": 1.788580595101314, + "learning_rate": 7.05992717523265e-07, + "loss": 0.9205, + "step": 37492 + }, + { + "epoch": 0.88, + "grad_norm": 2.583797689459761, + "learning_rate": 7.057111273396034e-07, + "loss": 0.8062, + "step": 37493 + }, + { + "epoch": 0.88, + "grad_norm": 1.8578141008113813, + "learning_rate": 7.054295912702336e-07, + "loss": 0.8463, + "step": 37494 + }, + { + "epoch": 0.88, + "grad_norm": 1.6418500259583584, + "learning_rate": 7.051481093167933e-07, + "loss": 0.7944, + "step": 37495 + }, + { + "epoch": 0.88, + "grad_norm": 1.4428931120823902, + "learning_rate": 7.048666814809246e-07, + "loss": 0.8387, + "step": 37496 + }, + { + "epoch": 0.88, + "grad_norm": 0.7420029454461473, + "learning_rate": 7.045853077642661e-07, + "loss": 0.7228, + "step": 37497 + }, + { + "epoch": 0.88, + "grad_norm": 1.6241205010680548, + "learning_rate": 7.043039881684544e-07, + "loss": 0.8666, + "step": 37498 + }, + { + "epoch": 0.88, + "grad_norm": 1.5456172923697362, + "learning_rate": 7.040227226951268e-07, + "loss": 0.7992, + "step": 37499 + }, + { + "epoch": 0.88, + "grad_norm": 1.4752048752691767, + "learning_rate": 7.037415113459223e-07, + "loss": 0.7847, + "step": 37500 + }, + { + "epoch": 0.88, + "grad_norm": 1.4438119502880526, + "learning_rate": 7.034603541224771e-07, + "loss": 0.6588, + "step": 37501 + }, + { + "epoch": 0.88, + "grad_norm": 1.5784433656087353, + "learning_rate": 7.031792510264312e-07, + "loss": 0.8808, + "step": 37502 + }, + { + "epoch": 0.88, + "grad_norm": 1.5055159430813085, + "learning_rate": 7.028982020594166e-07, + "loss": 0.9169, + "step": 37503 + }, + { + "epoch": 0.88, + "grad_norm": 1.5702933471649496, + "learning_rate": 7.026172072230742e-07, + "loss": 0.8298, + "step": 37504 + }, + { + "epoch": 0.88, + "grad_norm": 0.811943074146777, + "learning_rate": 7.023362665190358e-07, + "loss": 0.7107, + "step": 37505 + }, + { + "epoch": 0.88, + "grad_norm": 0.7451233481770244, + "learning_rate": 7.020553799489415e-07, + "loss": 0.6993, + "step": 37506 + }, + { + "epoch": 0.88, + "grad_norm": 2.561536223539261, + "learning_rate": 7.017745475144233e-07, + "loss": 0.7001, + "step": 37507 + }, + { + "epoch": 0.88, + "grad_norm": 1.6135950514658837, + "learning_rate": 7.014937692171176e-07, + "loss": 0.8763, + "step": 37508 + }, + { + "epoch": 0.88, + "grad_norm": 1.611613573597575, + "learning_rate": 7.012130450586574e-07, + "loss": 0.7663, + "step": 37509 + }, + { + "epoch": 0.88, + "grad_norm": 1.7038005143145827, + "learning_rate": 7.009323750406816e-07, + "loss": 0.8224, + "step": 37510 + }, + { + "epoch": 0.88, + "grad_norm": 1.7094356037387157, + "learning_rate": 7.00651759164821e-07, + "loss": 0.8549, + "step": 37511 + }, + { + "epoch": 0.88, + "grad_norm": 1.706989080846755, + "learning_rate": 7.003711974327076e-07, + "loss": 0.9107, + "step": 37512 + }, + { + "epoch": 0.88, + "grad_norm": 1.687493287565427, + "learning_rate": 7.00090689845978e-07, + "loss": 0.7846, + "step": 37513 + }, + { + "epoch": 0.88, + "grad_norm": 4.18998385434998, + "learning_rate": 6.998102364062665e-07, + "loss": 0.8658, + "step": 37514 + }, + { + "epoch": 0.88, + "grad_norm": 1.7181894747079927, + "learning_rate": 6.995298371152037e-07, + "loss": 0.7938, + "step": 37515 + }, + { + "epoch": 0.88, + "grad_norm": 1.6850467166493113, + "learning_rate": 6.992494919744219e-07, + "loss": 0.8367, + "step": 37516 + }, + { + "epoch": 0.88, + "grad_norm": 1.7690454797769046, + "learning_rate": 6.989692009855543e-07, + "loss": 0.834, + "step": 37517 + }, + { + "epoch": 0.88, + "grad_norm": 1.6577204551974003, + "learning_rate": 6.986889641502326e-07, + "loss": 0.9176, + "step": 37518 + }, + { + "epoch": 0.88, + "grad_norm": 1.6076434850743266, + "learning_rate": 6.984087814700902e-07, + "loss": 0.8607, + "step": 37519 + }, + { + "epoch": 0.88, + "grad_norm": 1.6601818576759144, + "learning_rate": 6.981286529467546e-07, + "loss": 0.8226, + "step": 37520 + }, + { + "epoch": 0.88, + "grad_norm": 0.8016625559690514, + "learning_rate": 6.9784857858186e-07, + "loss": 0.6922, + "step": 37521 + }, + { + "epoch": 0.88, + "grad_norm": 1.7018667996595689, + "learning_rate": 6.975685583770341e-07, + "loss": 0.7921, + "step": 37522 + }, + { + "epoch": 0.88, + "grad_norm": 5.577340947176454, + "learning_rate": 6.972885923339123e-07, + "loss": 0.7297, + "step": 37523 + }, + { + "epoch": 0.88, + "grad_norm": 2.4371880022530346, + "learning_rate": 6.970086804541187e-07, + "loss": 0.8648, + "step": 37524 + }, + { + "epoch": 0.88, + "grad_norm": 1.701683081427313, + "learning_rate": 6.967288227392877e-07, + "loss": 0.7665, + "step": 37525 + }, + { + "epoch": 0.88, + "grad_norm": 1.63793733013571, + "learning_rate": 6.964490191910456e-07, + "loss": 0.8228, + "step": 37526 + }, + { + "epoch": 0.88, + "grad_norm": 1.6306348775345025, + "learning_rate": 6.961692698110223e-07, + "loss": 0.7837, + "step": 37527 + }, + { + "epoch": 0.88, + "grad_norm": 0.746604477421463, + "learning_rate": 6.958895746008499e-07, + "loss": 0.6877, + "step": 37528 + }, + { + "epoch": 0.88, + "grad_norm": 1.703339530809942, + "learning_rate": 6.956099335621513e-07, + "loss": 0.7623, + "step": 37529 + }, + { + "epoch": 0.88, + "grad_norm": 1.793246178516054, + "learning_rate": 6.953303466965578e-07, + "loss": 0.8613, + "step": 37530 + }, + { + "epoch": 0.88, + "grad_norm": 1.5943646391664978, + "learning_rate": 6.950508140056966e-07, + "loss": 0.8448, + "step": 37531 + }, + { + "epoch": 0.88, + "grad_norm": 3.098474820979339, + "learning_rate": 6.947713354911978e-07, + "loss": 0.9038, + "step": 37532 + }, + { + "epoch": 0.88, + "grad_norm": 1.8897693879024573, + "learning_rate": 6.944919111546844e-07, + "loss": 0.7088, + "step": 37533 + }, + { + "epoch": 0.88, + "grad_norm": 1.6058450873971626, + "learning_rate": 6.94212540997784e-07, + "loss": 0.7694, + "step": 37534 + }, + { + "epoch": 0.88, + "grad_norm": 1.576984145292228, + "learning_rate": 6.939332250221265e-07, + "loss": 0.8282, + "step": 37535 + }, + { + "epoch": 0.88, + "grad_norm": 1.4622283985935212, + "learning_rate": 6.93653963229336e-07, + "loss": 0.7756, + "step": 37536 + }, + { + "epoch": 0.88, + "grad_norm": 1.8004634088529643, + "learning_rate": 6.933747556210368e-07, + "loss": 0.7253, + "step": 37537 + }, + { + "epoch": 0.88, + "grad_norm": 1.6712841986814666, + "learning_rate": 6.930956021988567e-07, + "loss": 0.8471, + "step": 37538 + }, + { + "epoch": 0.88, + "grad_norm": 1.6076792873567576, + "learning_rate": 6.928165029644219e-07, + "loss": 0.7039, + "step": 37539 + }, + { + "epoch": 0.88, + "grad_norm": 2.0077125686737176, + "learning_rate": 6.925374579193533e-07, + "loss": 0.9445, + "step": 37540 + }, + { + "epoch": 0.88, + "grad_norm": 1.6364670968427493, + "learning_rate": 6.92258467065281e-07, + "loss": 0.9016, + "step": 37541 + }, + { + "epoch": 0.88, + "grad_norm": 0.7725326281244654, + "learning_rate": 6.919795304038268e-07, + "loss": 0.6757, + "step": 37542 + }, + { + "epoch": 0.88, + "grad_norm": 1.9437457200973056, + "learning_rate": 6.917006479366128e-07, + "loss": 0.8142, + "step": 37543 + }, + { + "epoch": 0.88, + "grad_norm": 1.6108768386399839, + "learning_rate": 6.914218196652645e-07, + "loss": 0.8698, + "step": 37544 + }, + { + "epoch": 0.88, + "grad_norm": 1.4978569771754224, + "learning_rate": 6.91143045591407e-07, + "loss": 0.7772, + "step": 37545 + }, + { + "epoch": 0.88, + "grad_norm": 1.5606317025620466, + "learning_rate": 6.908643257166625e-07, + "loss": 0.7723, + "step": 37546 + }, + { + "epoch": 0.88, + "grad_norm": 1.6469022881149022, + "learning_rate": 6.905856600426508e-07, + "loss": 0.8917, + "step": 37547 + }, + { + "epoch": 0.88, + "grad_norm": 1.4279890052090891, + "learning_rate": 6.903070485709962e-07, + "loss": 0.6114, + "step": 37548 + }, + { + "epoch": 0.88, + "grad_norm": 1.8474192651165435, + "learning_rate": 6.90028491303324e-07, + "loss": 0.776, + "step": 37549 + }, + { + "epoch": 0.88, + "grad_norm": 1.6855605465268497, + "learning_rate": 6.897499882412529e-07, + "loss": 0.8229, + "step": 37550 + }, + { + "epoch": 0.88, + "grad_norm": 0.773453777014319, + "learning_rate": 6.894715393864027e-07, + "loss": 0.7024, + "step": 37551 + }, + { + "epoch": 0.88, + "grad_norm": 1.4712935680313834, + "learning_rate": 6.891931447403977e-07, + "loss": 0.8292, + "step": 37552 + }, + { + "epoch": 0.88, + "grad_norm": 1.6636306072522478, + "learning_rate": 6.889148043048599e-07, + "loss": 0.7739, + "step": 37553 + }, + { + "epoch": 0.88, + "grad_norm": 2.14041327041807, + "learning_rate": 6.886365180814069e-07, + "loss": 0.7402, + "step": 37554 + }, + { + "epoch": 0.88, + "grad_norm": 1.6711131696920813, + "learning_rate": 6.883582860716598e-07, + "loss": 0.8689, + "step": 37555 + }, + { + "epoch": 0.88, + "grad_norm": 1.6521477048756774, + "learning_rate": 6.880801082772382e-07, + "loss": 0.8633, + "step": 37556 + }, + { + "epoch": 0.88, + "grad_norm": 1.8299230934316202, + "learning_rate": 6.87801984699763e-07, + "loss": 0.8597, + "step": 37557 + }, + { + "epoch": 0.88, + "grad_norm": 1.635581839498835, + "learning_rate": 6.875239153408541e-07, + "loss": 0.8064, + "step": 37558 + }, + { + "epoch": 0.88, + "grad_norm": 1.7452858754846707, + "learning_rate": 6.87245900202127e-07, + "loss": 0.755, + "step": 37559 + }, + { + "epoch": 0.88, + "grad_norm": 1.745100095092298, + "learning_rate": 6.869679392852035e-07, + "loss": 0.8925, + "step": 37560 + }, + { + "epoch": 0.88, + "grad_norm": 0.7674310902217768, + "learning_rate": 6.866900325917003e-07, + "loss": 0.6616, + "step": 37561 + }, + { + "epoch": 0.88, + "grad_norm": 1.8365819788564053, + "learning_rate": 6.864121801232381e-07, + "loss": 0.8364, + "step": 37562 + }, + { + "epoch": 0.88, + "grad_norm": 1.6126244317718457, + "learning_rate": 6.861343818814315e-07, + "loss": 0.9372, + "step": 37563 + }, + { + "epoch": 0.88, + "grad_norm": 1.7414306875129486, + "learning_rate": 6.858566378678999e-07, + "loss": 0.7712, + "step": 37564 + }, + { + "epoch": 0.89, + "grad_norm": 1.6183562680966364, + "learning_rate": 6.855789480842589e-07, + "loss": 0.8945, + "step": 37565 + }, + { + "epoch": 0.89, + "grad_norm": 1.6834369315195257, + "learning_rate": 6.853013125321273e-07, + "loss": 0.8748, + "step": 37566 + }, + { + "epoch": 0.89, + "grad_norm": 1.56004679086635, + "learning_rate": 6.850237312131213e-07, + "loss": 0.8128, + "step": 37567 + }, + { + "epoch": 0.89, + "grad_norm": 1.4995205933138385, + "learning_rate": 6.847462041288533e-07, + "loss": 0.789, + "step": 37568 + }, + { + "epoch": 0.89, + "grad_norm": 1.5666341731919036, + "learning_rate": 6.844687312809429e-07, + "loss": 0.8147, + "step": 37569 + }, + { + "epoch": 0.89, + "grad_norm": 0.7471307585531386, + "learning_rate": 6.841913126710065e-07, + "loss": 0.7051, + "step": 37570 + }, + { + "epoch": 0.89, + "grad_norm": 1.5365301050867273, + "learning_rate": 6.839139483006574e-07, + "loss": 0.7875, + "step": 37571 + }, + { + "epoch": 0.89, + "grad_norm": 1.5160849447259057, + "learning_rate": 6.836366381715087e-07, + "loss": 0.9164, + "step": 37572 + }, + { + "epoch": 0.89, + "grad_norm": 0.791405684919964, + "learning_rate": 6.83359382285177e-07, + "loss": 0.7232, + "step": 37573 + }, + { + "epoch": 0.89, + "grad_norm": 2.008388399746105, + "learning_rate": 6.830821806432786e-07, + "loss": 0.7876, + "step": 37574 + }, + { + "epoch": 0.89, + "grad_norm": 0.7704374917879117, + "learning_rate": 6.828050332474256e-07, + "loss": 0.7132, + "step": 37575 + }, + { + "epoch": 0.89, + "grad_norm": 0.7541948309555505, + "learning_rate": 6.825279400992291e-07, + "loss": 0.6713, + "step": 37576 + }, + { + "epoch": 0.89, + "grad_norm": 1.7135774677289508, + "learning_rate": 6.822509012003054e-07, + "loss": 0.8131, + "step": 37577 + }, + { + "epoch": 0.89, + "grad_norm": 1.5296607150682824, + "learning_rate": 6.819739165522688e-07, + "loss": 0.7947, + "step": 37578 + }, + { + "epoch": 0.89, + "grad_norm": 1.5342300588201754, + "learning_rate": 6.816969861567291e-07, + "loss": 0.9247, + "step": 37579 + }, + { + "epoch": 0.89, + "grad_norm": 0.7418161182802431, + "learning_rate": 6.814201100152995e-07, + "loss": 0.7079, + "step": 37580 + }, + { + "epoch": 0.89, + "grad_norm": 1.7351644465055844, + "learning_rate": 6.811432881295921e-07, + "loss": 0.8002, + "step": 37581 + }, + { + "epoch": 0.89, + "grad_norm": 1.8182090038537742, + "learning_rate": 6.808665205012188e-07, + "loss": 0.8822, + "step": 37582 + }, + { + "epoch": 0.89, + "grad_norm": 2.2277253333636007, + "learning_rate": 6.805898071317918e-07, + "loss": 0.8893, + "step": 37583 + }, + { + "epoch": 0.89, + "grad_norm": 0.7808381778872739, + "learning_rate": 6.803131480229197e-07, + "loss": 0.7323, + "step": 37584 + }, + { + "epoch": 0.89, + "grad_norm": 1.4639073423280606, + "learning_rate": 6.800365431762168e-07, + "loss": 0.8988, + "step": 37585 + }, + { + "epoch": 0.89, + "grad_norm": 2.0659138216656863, + "learning_rate": 6.797599925932907e-07, + "loss": 0.9171, + "step": 37586 + }, + { + "epoch": 0.89, + "grad_norm": 1.9153181462932645, + "learning_rate": 6.794834962757535e-07, + "loss": 0.7289, + "step": 37587 + }, + { + "epoch": 0.89, + "grad_norm": 1.5311372677295434, + "learning_rate": 6.792070542252138e-07, + "loss": 0.7504, + "step": 37588 + }, + { + "epoch": 0.89, + "grad_norm": 1.7057015699630582, + "learning_rate": 6.789306664432815e-07, + "loss": 0.8621, + "step": 37589 + }, + { + "epoch": 0.89, + "grad_norm": 1.6232585591954058, + "learning_rate": 6.786543329315643e-07, + "loss": 0.8693, + "step": 37590 + }, + { + "epoch": 0.89, + "grad_norm": 1.6809089106930177, + "learning_rate": 6.783780536916751e-07, + "loss": 0.7858, + "step": 37591 + }, + { + "epoch": 0.89, + "grad_norm": 2.5129867876270633, + "learning_rate": 6.781018287252206e-07, + "loss": 0.7705, + "step": 37592 + }, + { + "epoch": 0.89, + "grad_norm": 1.5836000427500747, + "learning_rate": 6.77825658033806e-07, + "loss": 0.8599, + "step": 37593 + }, + { + "epoch": 0.89, + "grad_norm": 1.6241491015407767, + "learning_rate": 6.775495416190414e-07, + "loss": 0.8314, + "step": 37594 + }, + { + "epoch": 0.89, + "grad_norm": 1.6273513083578868, + "learning_rate": 6.772734794825375e-07, + "loss": 0.8298, + "step": 37595 + }, + { + "epoch": 0.89, + "grad_norm": 2.172019880886591, + "learning_rate": 6.769974716258987e-07, + "loss": 0.7984, + "step": 37596 + }, + { + "epoch": 0.89, + "grad_norm": 1.587766685977451, + "learning_rate": 6.767215180507303e-07, + "loss": 0.8837, + "step": 37597 + }, + { + "epoch": 0.89, + "grad_norm": 1.6896230222707136, + "learning_rate": 6.76445618758641e-07, + "loss": 0.8079, + "step": 37598 + }, + { + "epoch": 0.89, + "grad_norm": 1.5869468371968216, + "learning_rate": 6.761697737512385e-07, + "loss": 0.6944, + "step": 37599 + }, + { + "epoch": 0.89, + "grad_norm": 1.5683227472953987, + "learning_rate": 6.75893983030127e-07, + "loss": 0.8564, + "step": 37600 + }, + { + "epoch": 0.89, + "grad_norm": 1.5113668620952383, + "learning_rate": 6.756182465969119e-07, + "loss": 0.8317, + "step": 37601 + }, + { + "epoch": 0.89, + "grad_norm": 1.6046988449168944, + "learning_rate": 6.753425644532008e-07, + "loss": 0.9366, + "step": 37602 + }, + { + "epoch": 0.89, + "grad_norm": 0.7760561400741544, + "learning_rate": 6.750669366005957e-07, + "loss": 0.6939, + "step": 37603 + }, + { + "epoch": 0.89, + "grad_norm": 1.6483535921094215, + "learning_rate": 6.747913630407054e-07, + "loss": 0.8605, + "step": 37604 + }, + { + "epoch": 0.89, + "grad_norm": 0.772216525874511, + "learning_rate": 6.745158437751298e-07, + "loss": 0.712, + "step": 37605 + }, + { + "epoch": 0.89, + "grad_norm": 1.5366241416713038, + "learning_rate": 6.742403788054775e-07, + "loss": 0.947, + "step": 37606 + }, + { + "epoch": 0.89, + "grad_norm": 1.6156865756371739, + "learning_rate": 6.739649681333482e-07, + "loss": 0.9351, + "step": 37607 + }, + { + "epoch": 0.89, + "grad_norm": 1.6147260366895024, + "learning_rate": 6.736896117603487e-07, + "loss": 0.8468, + "step": 37608 + }, + { + "epoch": 0.89, + "grad_norm": 0.8181467325199786, + "learning_rate": 6.734143096880808e-07, + "loss": 0.7292, + "step": 37609 + }, + { + "epoch": 0.89, + "grad_norm": 1.7000533152626034, + "learning_rate": 6.731390619181466e-07, + "loss": 0.8407, + "step": 37610 + }, + { + "epoch": 0.89, + "grad_norm": 1.5518611560669247, + "learning_rate": 6.728638684521493e-07, + "loss": 0.8562, + "step": 37611 + }, + { + "epoch": 0.89, + "grad_norm": 1.5770869409895685, + "learning_rate": 6.725887292916933e-07, + "loss": 0.8239, + "step": 37612 + }, + { + "epoch": 0.89, + "grad_norm": 1.516301765047708, + "learning_rate": 6.723136444383793e-07, + "loss": 0.9282, + "step": 37613 + }, + { + "epoch": 0.89, + "grad_norm": 1.4880749218856333, + "learning_rate": 6.720386138938062e-07, + "loss": 0.8193, + "step": 37614 + }, + { + "epoch": 0.89, + "grad_norm": 1.4240092095451506, + "learning_rate": 6.717636376595771e-07, + "loss": 0.7436, + "step": 37615 + }, + { + "epoch": 0.89, + "grad_norm": 1.5451941814212216, + "learning_rate": 6.714887157372952e-07, + "loss": 0.8331, + "step": 37616 + }, + { + "epoch": 0.89, + "grad_norm": 0.7842438131294215, + "learning_rate": 6.71213848128559e-07, + "loss": 0.7222, + "step": 37617 + }, + { + "epoch": 0.89, + "grad_norm": 1.6870946053653137, + "learning_rate": 6.709390348349687e-07, + "loss": 0.8707, + "step": 37618 + }, + { + "epoch": 0.89, + "grad_norm": 1.5669368704073987, + "learning_rate": 6.706642758581239e-07, + "loss": 0.7746, + "step": 37619 + }, + { + "epoch": 0.89, + "grad_norm": 1.9769534569381328, + "learning_rate": 6.703895711996278e-07, + "loss": 0.6707, + "step": 37620 + }, + { + "epoch": 0.89, + "grad_norm": 1.745756810103409, + "learning_rate": 6.701149208610758e-07, + "loss": 0.6843, + "step": 37621 + }, + { + "epoch": 0.89, + "grad_norm": 1.59650216218478, + "learning_rate": 6.698403248440688e-07, + "loss": 0.7556, + "step": 37622 + }, + { + "epoch": 0.89, + "grad_norm": 1.5348120391958577, + "learning_rate": 6.695657831502056e-07, + "loss": 0.9143, + "step": 37623 + }, + { + "epoch": 0.89, + "grad_norm": 1.525967407578257, + "learning_rate": 6.692912957810826e-07, + "loss": 0.8821, + "step": 37624 + }, + { + "epoch": 0.89, + "grad_norm": 2.3127249794738796, + "learning_rate": 6.69016862738301e-07, + "loss": 0.8189, + "step": 37625 + }, + { + "epoch": 0.89, + "grad_norm": 1.6511372190413245, + "learning_rate": 6.687424840234579e-07, + "loss": 0.7529, + "step": 37626 + }, + { + "epoch": 0.89, + "grad_norm": 1.8124592548537894, + "learning_rate": 6.684681596381503e-07, + "loss": 0.8213, + "step": 37627 + }, + { + "epoch": 0.89, + "grad_norm": 1.6143441553254785, + "learning_rate": 6.681938895839746e-07, + "loss": 0.719, + "step": 37628 + }, + { + "epoch": 0.89, + "grad_norm": 1.6008329875962366, + "learning_rate": 6.679196738625282e-07, + "loss": 0.7237, + "step": 37629 + }, + { + "epoch": 0.89, + "grad_norm": 1.5545277728375106, + "learning_rate": 6.676455124754099e-07, + "loss": 0.7435, + "step": 37630 + }, + { + "epoch": 0.89, + "grad_norm": 2.481040326738654, + "learning_rate": 6.67371405424212e-07, + "loss": 0.8492, + "step": 37631 + }, + { + "epoch": 0.89, + "grad_norm": 1.6944163292898784, + "learning_rate": 6.670973527105329e-07, + "loss": 0.8459, + "step": 37632 + }, + { + "epoch": 0.89, + "grad_norm": 1.8017751987517823, + "learning_rate": 6.66823354335967e-07, + "loss": 0.7714, + "step": 37633 + }, + { + "epoch": 0.89, + "grad_norm": 1.534453058059227, + "learning_rate": 6.66549410302113e-07, + "loss": 0.8629, + "step": 37634 + }, + { + "epoch": 0.89, + "grad_norm": 1.4977235878472288, + "learning_rate": 6.662755206105608e-07, + "loss": 0.7285, + "step": 37635 + }, + { + "epoch": 0.89, + "grad_norm": 1.5524914893433055, + "learning_rate": 6.66001685262908e-07, + "loss": 0.7714, + "step": 37636 + }, + { + "epoch": 0.89, + "grad_norm": 1.4596921546573587, + "learning_rate": 6.65727904260749e-07, + "loss": 0.8904, + "step": 37637 + }, + { + "epoch": 0.89, + "grad_norm": 1.6242233215795105, + "learning_rate": 6.654541776056767e-07, + "loss": 0.8143, + "step": 37638 + }, + { + "epoch": 0.89, + "grad_norm": 1.8901159484111822, + "learning_rate": 6.651805052992866e-07, + "loss": 0.7851, + "step": 37639 + }, + { + "epoch": 0.89, + "grad_norm": 1.8239202166569342, + "learning_rate": 6.649068873431697e-07, + "loss": 0.7769, + "step": 37640 + }, + { + "epoch": 0.89, + "grad_norm": 0.7522233350957249, + "learning_rate": 6.646333237389213e-07, + "loss": 0.7044, + "step": 37641 + }, + { + "epoch": 0.89, + "grad_norm": 0.7729491253141598, + "learning_rate": 6.643598144881324e-07, + "loss": 0.7288, + "step": 37642 + }, + { + "epoch": 0.89, + "grad_norm": 1.8745249865199751, + "learning_rate": 6.640863595923975e-07, + "loss": 0.8895, + "step": 37643 + }, + { + "epoch": 0.89, + "grad_norm": 1.9104514350104613, + "learning_rate": 6.638129590533071e-07, + "loss": 0.8616, + "step": 37644 + }, + { + "epoch": 0.89, + "grad_norm": 1.6930700984547835, + "learning_rate": 6.635396128724513e-07, + "loss": 0.8524, + "step": 37645 + }, + { + "epoch": 0.89, + "grad_norm": 1.504642852898557, + "learning_rate": 6.632663210514257e-07, + "loss": 0.7527, + "step": 37646 + }, + { + "epoch": 0.89, + "grad_norm": 1.4458439380323505, + "learning_rate": 6.629930835918196e-07, + "loss": 1.0352, + "step": 37647 + }, + { + "epoch": 0.89, + "grad_norm": 1.649194658049436, + "learning_rate": 6.627199004952245e-07, + "loss": 0.7782, + "step": 37648 + }, + { + "epoch": 0.89, + "grad_norm": 1.7249373089630144, + "learning_rate": 6.624467717632277e-07, + "loss": 0.8313, + "step": 37649 + }, + { + "epoch": 0.89, + "grad_norm": 1.5648382710082636, + "learning_rate": 6.621736973974236e-07, + "loss": 0.7576, + "step": 37650 + }, + { + "epoch": 0.89, + "grad_norm": 1.68439968658252, + "learning_rate": 6.619006773994008e-07, + "loss": 0.7504, + "step": 37651 + }, + { + "epoch": 0.89, + "grad_norm": 1.5012094953937205, + "learning_rate": 6.616277117707493e-07, + "loss": 0.8163, + "step": 37652 + }, + { + "epoch": 0.89, + "grad_norm": 1.8094574581527383, + "learning_rate": 6.613548005130555e-07, + "loss": 0.9108, + "step": 37653 + }, + { + "epoch": 0.89, + "grad_norm": 2.0229775164434516, + "learning_rate": 6.610819436279115e-07, + "loss": 0.8064, + "step": 37654 + }, + { + "epoch": 0.89, + "grad_norm": 1.5845805223092961, + "learning_rate": 6.60809141116906e-07, + "loss": 0.7956, + "step": 37655 + }, + { + "epoch": 0.89, + "grad_norm": 1.8083377410671224, + "learning_rate": 6.605363929816266e-07, + "loss": 0.9334, + "step": 37656 + }, + { + "epoch": 0.89, + "grad_norm": 1.725453791809892, + "learning_rate": 6.6026369922366e-07, + "loss": 0.845, + "step": 37657 + }, + { + "epoch": 0.89, + "grad_norm": 1.9860516557688304, + "learning_rate": 6.599910598445958e-07, + "loss": 0.795, + "step": 37658 + }, + { + "epoch": 0.89, + "grad_norm": 0.7483605459286593, + "learning_rate": 6.597184748460195e-07, + "loss": 0.7137, + "step": 37659 + }, + { + "epoch": 0.89, + "grad_norm": 0.8147194697226722, + "learning_rate": 6.594459442295209e-07, + "loss": 0.7172, + "step": 37660 + }, + { + "epoch": 0.89, + "grad_norm": 1.4868250834081849, + "learning_rate": 6.591734679966844e-07, + "loss": 0.7946, + "step": 37661 + }, + { + "epoch": 0.89, + "grad_norm": 1.60106809136625, + "learning_rate": 6.589010461490974e-07, + "loss": 0.8494, + "step": 37662 + }, + { + "epoch": 0.89, + "grad_norm": 1.4558446120652828, + "learning_rate": 6.586286786883455e-07, + "loss": 0.7482, + "step": 37663 + }, + { + "epoch": 0.89, + "grad_norm": 2.2065305903117722, + "learning_rate": 6.583563656160152e-07, + "loss": 0.7927, + "step": 37664 + }, + { + "epoch": 0.89, + "grad_norm": 2.0768435702958636, + "learning_rate": 6.580841069336929e-07, + "loss": 0.7883, + "step": 37665 + }, + { + "epoch": 0.89, + "grad_norm": 1.534470958183173, + "learning_rate": 6.578119026429597e-07, + "loss": 0.8149, + "step": 37666 + }, + { + "epoch": 0.89, + "grad_norm": 0.8075664423887465, + "learning_rate": 6.575397527454042e-07, + "loss": 0.7657, + "step": 37667 + }, + { + "epoch": 0.89, + "grad_norm": 1.578512116020807, + "learning_rate": 6.572676572426118e-07, + "loss": 0.7786, + "step": 37668 + }, + { + "epoch": 0.89, + "grad_norm": 1.5522946784061966, + "learning_rate": 6.569956161361646e-07, + "loss": 0.6784, + "step": 37669 + }, + { + "epoch": 0.89, + "grad_norm": 0.8236932262936043, + "learning_rate": 6.567236294276446e-07, + "loss": 0.7472, + "step": 37670 + }, + { + "epoch": 0.89, + "grad_norm": 1.7041484097234838, + "learning_rate": 6.564516971186385e-07, + "loss": 0.8393, + "step": 37671 + }, + { + "epoch": 0.89, + "grad_norm": 1.552405706407481, + "learning_rate": 6.561798192107305e-07, + "loss": 0.8847, + "step": 37672 + }, + { + "epoch": 0.89, + "grad_norm": 1.7075313132766992, + "learning_rate": 6.559079957055015e-07, + "loss": 0.8267, + "step": 37673 + }, + { + "epoch": 0.89, + "grad_norm": 2.091817301720905, + "learning_rate": 6.556362266045324e-07, + "loss": 0.8853, + "step": 37674 + }, + { + "epoch": 0.89, + "grad_norm": 1.6795207703255728, + "learning_rate": 6.553645119094076e-07, + "loss": 0.8168, + "step": 37675 + }, + { + "epoch": 0.89, + "grad_norm": 1.5630268669884713, + "learning_rate": 6.550928516217115e-07, + "loss": 0.8266, + "step": 37676 + }, + { + "epoch": 0.89, + "grad_norm": 1.4455706185462518, + "learning_rate": 6.548212457430225e-07, + "loss": 0.8008, + "step": 37677 + }, + { + "epoch": 0.89, + "grad_norm": 1.461625933463121, + "learning_rate": 6.545496942749219e-07, + "loss": 0.7813, + "step": 37678 + }, + { + "epoch": 0.89, + "grad_norm": 1.4827503321584894, + "learning_rate": 6.542781972189915e-07, + "loss": 0.7994, + "step": 37679 + }, + { + "epoch": 0.89, + "grad_norm": 2.106431704967107, + "learning_rate": 6.540067545768136e-07, + "loss": 0.8984, + "step": 37680 + }, + { + "epoch": 0.89, + "grad_norm": 1.5744811374336314, + "learning_rate": 6.537353663499669e-07, + "loss": 0.7152, + "step": 37681 + }, + { + "epoch": 0.89, + "grad_norm": 1.7962378137439563, + "learning_rate": 6.53464032540031e-07, + "loss": 0.8926, + "step": 37682 + }, + { + "epoch": 0.89, + "grad_norm": 1.4492273489486194, + "learning_rate": 6.531927531485882e-07, + "loss": 0.8428, + "step": 37683 + }, + { + "epoch": 0.89, + "grad_norm": 1.531320400286183, + "learning_rate": 6.529215281772139e-07, + "loss": 0.7996, + "step": 37684 + }, + { + "epoch": 0.89, + "grad_norm": 1.7521256374329, + "learning_rate": 6.526503576274923e-07, + "loss": 0.8241, + "step": 37685 + }, + { + "epoch": 0.89, + "grad_norm": 1.5125185610495824, + "learning_rate": 6.523792415009977e-07, + "loss": 0.8527, + "step": 37686 + }, + { + "epoch": 0.89, + "grad_norm": 1.510120370602564, + "learning_rate": 6.521081797993123e-07, + "loss": 0.8805, + "step": 37687 + }, + { + "epoch": 0.89, + "grad_norm": 1.6176670088905807, + "learning_rate": 6.518371725240103e-07, + "loss": 0.9122, + "step": 37688 + }, + { + "epoch": 0.89, + "grad_norm": 1.591224602864416, + "learning_rate": 6.515662196766737e-07, + "loss": 0.8338, + "step": 37689 + }, + { + "epoch": 0.89, + "grad_norm": 1.9917306797151313, + "learning_rate": 6.512953212588791e-07, + "loss": 0.8281, + "step": 37690 + }, + { + "epoch": 0.89, + "grad_norm": 1.76288520887755, + "learning_rate": 6.510244772721996e-07, + "loss": 0.822, + "step": 37691 + }, + { + "epoch": 0.89, + "grad_norm": 1.693310386079436, + "learning_rate": 6.507536877182175e-07, + "loss": 0.9576, + "step": 37692 + }, + { + "epoch": 0.89, + "grad_norm": 1.7780582101214013, + "learning_rate": 6.504829525985079e-07, + "loss": 0.7773, + "step": 37693 + }, + { + "epoch": 0.89, + "grad_norm": 1.4921894652941317, + "learning_rate": 6.502122719146464e-07, + "loss": 0.7987, + "step": 37694 + }, + { + "epoch": 0.89, + "grad_norm": 1.558134461815748, + "learning_rate": 6.499416456682072e-07, + "loss": 0.7923, + "step": 37695 + }, + { + "epoch": 0.89, + "grad_norm": 0.755284143446415, + "learning_rate": 6.496710738607681e-07, + "loss": 0.656, + "step": 37696 + }, + { + "epoch": 0.89, + "grad_norm": 1.6773833265549964, + "learning_rate": 6.494005564939066e-07, + "loss": 0.7783, + "step": 37697 + }, + { + "epoch": 0.89, + "grad_norm": 1.764556845972764, + "learning_rate": 6.491300935691947e-07, + "loss": 0.6914, + "step": 37698 + }, + { + "epoch": 0.89, + "grad_norm": 1.5108202986583827, + "learning_rate": 6.488596850882068e-07, + "loss": 0.7793, + "step": 37699 + }, + { + "epoch": 0.89, + "grad_norm": 4.129855551685225, + "learning_rate": 6.485893310525182e-07, + "loss": 0.7997, + "step": 37700 + }, + { + "epoch": 0.89, + "grad_norm": 0.7681823174732694, + "learning_rate": 6.483190314637045e-07, + "loss": 0.6949, + "step": 37701 + }, + { + "epoch": 0.89, + "grad_norm": 1.5979057566004062, + "learning_rate": 6.480487863233387e-07, + "loss": 0.9003, + "step": 37702 + }, + { + "epoch": 0.89, + "grad_norm": 1.464041305474171, + "learning_rate": 6.477785956329907e-07, + "loss": 0.736, + "step": 37703 + }, + { + "epoch": 0.89, + "grad_norm": 1.7405328804659077, + "learning_rate": 6.475084593942393e-07, + "loss": 0.9105, + "step": 37704 + }, + { + "epoch": 0.89, + "grad_norm": 1.5950221280120207, + "learning_rate": 6.472383776086533e-07, + "loss": 0.7546, + "step": 37705 + }, + { + "epoch": 0.89, + "grad_norm": 1.5361108412106521, + "learning_rate": 6.469683502778068e-07, + "loss": 1.0265, + "step": 37706 + }, + { + "epoch": 0.89, + "grad_norm": 1.8244347210912966, + "learning_rate": 6.466983774032709e-07, + "loss": 0.779, + "step": 37707 + }, + { + "epoch": 0.89, + "grad_norm": 1.5888173416103897, + "learning_rate": 6.464284589866199e-07, + "loss": 0.8065, + "step": 37708 + }, + { + "epoch": 0.89, + "grad_norm": 1.7038898749498763, + "learning_rate": 6.461585950294214e-07, + "loss": 0.8057, + "step": 37709 + }, + { + "epoch": 0.89, + "grad_norm": 1.7758594807818922, + "learning_rate": 6.458887855332518e-07, + "loss": 0.9099, + "step": 37710 + }, + { + "epoch": 0.89, + "grad_norm": 1.5104657655523177, + "learning_rate": 6.456190304996779e-07, + "loss": 0.8342, + "step": 37711 + }, + { + "epoch": 0.89, + "grad_norm": 3.3338893755227534, + "learning_rate": 6.453493299302704e-07, + "loss": 0.8287, + "step": 37712 + }, + { + "epoch": 0.89, + "grad_norm": 1.438517306088121, + "learning_rate": 6.450796838266015e-07, + "loss": 0.8318, + "step": 37713 + }, + { + "epoch": 0.89, + "grad_norm": 1.5715966632988307, + "learning_rate": 6.44810092190239e-07, + "loss": 0.6911, + "step": 37714 + }, + { + "epoch": 0.89, + "grad_norm": 2.101566934544886, + "learning_rate": 6.44540555022758e-07, + "loss": 0.6548, + "step": 37715 + }, + { + "epoch": 0.89, + "grad_norm": 1.6033281082414437, + "learning_rate": 6.442710723257206e-07, + "loss": 0.792, + "step": 37716 + }, + { + "epoch": 0.89, + "grad_norm": 3.026373747523548, + "learning_rate": 6.440016441006991e-07, + "loss": 0.9013, + "step": 37717 + }, + { + "epoch": 0.89, + "grad_norm": 1.6782270799597405, + "learning_rate": 6.437322703492633e-07, + "loss": 0.7234, + "step": 37718 + }, + { + "epoch": 0.89, + "grad_norm": 1.4659626989563372, + "learning_rate": 6.434629510729806e-07, + "loss": 0.7083, + "step": 37719 + }, + { + "epoch": 0.89, + "grad_norm": 1.9085724098649262, + "learning_rate": 6.431936862734167e-07, + "loss": 0.7954, + "step": 37720 + }, + { + "epoch": 0.89, + "grad_norm": 0.7705456235992855, + "learning_rate": 6.429244759521425e-07, + "loss": 0.6786, + "step": 37721 + }, + { + "epoch": 0.89, + "grad_norm": 1.6329384236098872, + "learning_rate": 6.426553201107256e-07, + "loss": 0.7204, + "step": 37722 + }, + { + "epoch": 0.89, + "grad_norm": 2.1788877318096462, + "learning_rate": 6.423862187507291e-07, + "loss": 0.8301, + "step": 37723 + }, + { + "epoch": 0.89, + "grad_norm": 0.7330787853142066, + "learning_rate": 6.421171718737252e-07, + "loss": 0.6807, + "step": 37724 + }, + { + "epoch": 0.89, + "grad_norm": 0.7660088457304093, + "learning_rate": 6.418481794812781e-07, + "loss": 0.7057, + "step": 37725 + }, + { + "epoch": 0.89, + "grad_norm": 1.497752767419603, + "learning_rate": 6.415792415749522e-07, + "loss": 0.8127, + "step": 37726 + }, + { + "epoch": 0.89, + "grad_norm": 1.4604966392043528, + "learning_rate": 6.41310358156314e-07, + "loss": 0.7745, + "step": 37727 + }, + { + "epoch": 0.89, + "grad_norm": 1.4504030078730932, + "learning_rate": 6.410415292269312e-07, + "loss": 0.7828, + "step": 37728 + }, + { + "epoch": 0.89, + "grad_norm": 1.5540749816191755, + "learning_rate": 6.407727547883691e-07, + "loss": 0.881, + "step": 37729 + }, + { + "epoch": 0.89, + "grad_norm": 1.6741649773221217, + "learning_rate": 6.405040348421876e-07, + "loss": 0.804, + "step": 37730 + }, + { + "epoch": 0.89, + "grad_norm": 1.611041958370308, + "learning_rate": 6.402353693899566e-07, + "loss": 0.7582, + "step": 37731 + }, + { + "epoch": 0.89, + "grad_norm": 1.6209964924996023, + "learning_rate": 6.399667584332403e-07, + "loss": 0.782, + "step": 37732 + }, + { + "epoch": 0.89, + "grad_norm": 1.6639758373645148, + "learning_rate": 6.396982019735987e-07, + "loss": 0.8991, + "step": 37733 + }, + { + "epoch": 0.89, + "grad_norm": 1.575616319375446, + "learning_rate": 6.394297000125971e-07, + "loss": 0.8979, + "step": 37734 + }, + { + "epoch": 0.89, + "grad_norm": 1.5844828118570438, + "learning_rate": 6.391612525517988e-07, + "loss": 0.7865, + "step": 37735 + }, + { + "epoch": 0.89, + "grad_norm": 1.5444374359552215, + "learning_rate": 6.388928595927691e-07, + "loss": 0.6557, + "step": 37736 + }, + { + "epoch": 0.89, + "grad_norm": 1.4391176683553641, + "learning_rate": 6.38624521137069e-07, + "loss": 0.7954, + "step": 37737 + }, + { + "epoch": 0.89, + "grad_norm": 1.7193327966539715, + "learning_rate": 6.383562371862595e-07, + "loss": 0.9127, + "step": 37738 + }, + { + "epoch": 0.89, + "grad_norm": 1.8085091357193712, + "learning_rate": 6.380880077419049e-07, + "loss": 0.7695, + "step": 37739 + }, + { + "epoch": 0.89, + "grad_norm": 1.6752841059623487, + "learning_rate": 6.378198328055652e-07, + "loss": 0.8094, + "step": 37740 + }, + { + "epoch": 0.89, + "grad_norm": 1.7501118722136797, + "learning_rate": 6.375517123788033e-07, + "loss": 0.7838, + "step": 37741 + }, + { + "epoch": 0.89, + "grad_norm": 1.4899436103708612, + "learning_rate": 6.372836464631771e-07, + "loss": 0.7896, + "step": 37742 + }, + { + "epoch": 0.89, + "grad_norm": 1.605263313399785, + "learning_rate": 6.37015635060253e-07, + "loss": 0.8556, + "step": 37743 + }, + { + "epoch": 0.89, + "grad_norm": 1.6940448332614284, + "learning_rate": 6.367476781715853e-07, + "loss": 0.7106, + "step": 37744 + }, + { + "epoch": 0.89, + "grad_norm": 2.238123040574592, + "learning_rate": 6.364797757987384e-07, + "loss": 0.7996, + "step": 37745 + }, + { + "epoch": 0.89, + "grad_norm": 1.5114219345106796, + "learning_rate": 6.36211927943271e-07, + "loss": 0.8303, + "step": 37746 + }, + { + "epoch": 0.89, + "grad_norm": 2.0601267753341275, + "learning_rate": 6.359441346067419e-07, + "loss": 0.8532, + "step": 37747 + }, + { + "epoch": 0.89, + "grad_norm": 1.7421921672646268, + "learning_rate": 6.356763957907097e-07, + "loss": 0.7886, + "step": 37748 + }, + { + "epoch": 0.89, + "grad_norm": 1.5078307916434759, + "learning_rate": 6.354087114967355e-07, + "loss": 0.8635, + "step": 37749 + }, + { + "epoch": 0.89, + "grad_norm": 1.6363704030350585, + "learning_rate": 6.35141081726377e-07, + "loss": 0.6671, + "step": 37750 + }, + { + "epoch": 0.89, + "grad_norm": 1.7690029987694222, + "learning_rate": 6.348735064811895e-07, + "loss": 0.7834, + "step": 37751 + }, + { + "epoch": 0.89, + "grad_norm": 1.5497936688079832, + "learning_rate": 6.34605985762734e-07, + "loss": 0.7935, + "step": 37752 + }, + { + "epoch": 0.89, + "grad_norm": 1.8023623173157355, + "learning_rate": 6.343385195725693e-07, + "loss": 0.7929, + "step": 37753 + }, + { + "epoch": 0.89, + "grad_norm": 1.6801079757962276, + "learning_rate": 6.340711079122508e-07, + "loss": 0.8228, + "step": 37754 + }, + { + "epoch": 0.89, + "grad_norm": 1.7557408044459661, + "learning_rate": 6.338037507833339e-07, + "loss": 0.7703, + "step": 37755 + }, + { + "epoch": 0.89, + "grad_norm": 1.4735078310722445, + "learning_rate": 6.335364481873762e-07, + "loss": 0.7751, + "step": 37756 + }, + { + "epoch": 0.89, + "grad_norm": 1.4632607980523185, + "learning_rate": 6.332692001259377e-07, + "loss": 0.8849, + "step": 37757 + }, + { + "epoch": 0.89, + "grad_norm": 2.2316102323142464, + "learning_rate": 6.330020066005704e-07, + "loss": 0.8573, + "step": 37758 + }, + { + "epoch": 0.89, + "grad_norm": 1.5962182290446787, + "learning_rate": 6.327348676128298e-07, + "loss": 0.7729, + "step": 37759 + }, + { + "epoch": 0.89, + "grad_norm": 1.5518882420870659, + "learning_rate": 6.324677831642734e-07, + "loss": 0.7808, + "step": 37760 + }, + { + "epoch": 0.89, + "grad_norm": 1.7018446250042412, + "learning_rate": 6.322007532564533e-07, + "loss": 0.9225, + "step": 37761 + }, + { + "epoch": 0.89, + "grad_norm": 1.4199206253310914, + "learning_rate": 6.319337778909295e-07, + "loss": 0.8829, + "step": 37762 + }, + { + "epoch": 0.89, + "grad_norm": 1.6837936675806384, + "learning_rate": 6.316668570692497e-07, + "loss": 0.7209, + "step": 37763 + }, + { + "epoch": 0.89, + "grad_norm": 1.7045330408917776, + "learning_rate": 6.313999907929746e-07, + "loss": 0.8418, + "step": 37764 + }, + { + "epoch": 0.89, + "grad_norm": 1.7594453280878932, + "learning_rate": 6.311331790636521e-07, + "loss": 0.899, + "step": 37765 + }, + { + "epoch": 0.89, + "grad_norm": 1.4348252000141737, + "learning_rate": 6.308664218828397e-07, + "loss": 0.8707, + "step": 37766 + }, + { + "epoch": 0.89, + "grad_norm": 1.565650888171138, + "learning_rate": 6.305997192520908e-07, + "loss": 0.7159, + "step": 37767 + }, + { + "epoch": 0.89, + "grad_norm": 1.5732955239473092, + "learning_rate": 6.303330711729539e-07, + "loss": 0.7707, + "step": 37768 + }, + { + "epoch": 0.89, + "grad_norm": 1.6826865427513809, + "learning_rate": 6.300664776469845e-07, + "loss": 0.758, + "step": 37769 + }, + { + "epoch": 0.89, + "grad_norm": 1.4447351291165158, + "learning_rate": 6.297999386757359e-07, + "loss": 0.8179, + "step": 37770 + }, + { + "epoch": 0.89, + "grad_norm": 1.7879868773704324, + "learning_rate": 6.29533454260759e-07, + "loss": 0.6855, + "step": 37771 + }, + { + "epoch": 0.89, + "grad_norm": 1.7975605762394802, + "learning_rate": 6.292670244036026e-07, + "loss": 0.8371, + "step": 37772 + }, + { + "epoch": 0.89, + "grad_norm": 1.4710699219433838, + "learning_rate": 6.290006491058209e-07, + "loss": 0.773, + "step": 37773 + }, + { + "epoch": 0.89, + "grad_norm": 1.5598649985001793, + "learning_rate": 6.287343283689662e-07, + "loss": 0.8387, + "step": 37774 + }, + { + "epoch": 0.89, + "grad_norm": 2.230401761176202, + "learning_rate": 6.28468062194586e-07, + "loss": 0.7244, + "step": 37775 + }, + { + "epoch": 0.89, + "grad_norm": 1.650430927369987, + "learning_rate": 6.282018505842314e-07, + "loss": 0.8242, + "step": 37776 + }, + { + "epoch": 0.89, + "grad_norm": 1.5037165575176996, + "learning_rate": 6.27935693539452e-07, + "loss": 0.7367, + "step": 37777 + }, + { + "epoch": 0.89, + "grad_norm": 1.4975491253658, + "learning_rate": 6.276695910618002e-07, + "loss": 0.8976, + "step": 37778 + }, + { + "epoch": 0.89, + "grad_norm": 2.013565962522234, + "learning_rate": 6.274035431528225e-07, + "loss": 0.9026, + "step": 37779 + }, + { + "epoch": 0.89, + "grad_norm": 1.6432358181836315, + "learning_rate": 6.271375498140675e-07, + "loss": 0.9608, + "step": 37780 + }, + { + "epoch": 0.89, + "grad_norm": 1.6695684003284892, + "learning_rate": 6.268716110470863e-07, + "loss": 0.8612, + "step": 37781 + }, + { + "epoch": 0.89, + "grad_norm": 1.4541634921484454, + "learning_rate": 6.266057268534254e-07, + "loss": 0.7973, + "step": 37782 + }, + { + "epoch": 0.89, + "grad_norm": 1.4975224555056368, + "learning_rate": 6.263398972346346e-07, + "loss": 0.7319, + "step": 37783 + }, + { + "epoch": 0.89, + "grad_norm": 2.098656793538778, + "learning_rate": 6.260741221922583e-07, + "loss": 0.875, + "step": 37784 + }, + { + "epoch": 0.89, + "grad_norm": 3.429933257896465, + "learning_rate": 6.258084017278487e-07, + "loss": 0.805, + "step": 37785 + }, + { + "epoch": 0.89, + "grad_norm": 1.557759677190238, + "learning_rate": 6.255427358429489e-07, + "loss": 0.8083, + "step": 37786 + }, + { + "epoch": 0.89, + "grad_norm": 2.0411847393002494, + "learning_rate": 6.252771245391087e-07, + "loss": 0.9802, + "step": 37787 + }, + { + "epoch": 0.89, + "grad_norm": 1.4779452216467346, + "learning_rate": 6.250115678178725e-07, + "loss": 0.7037, + "step": 37788 + }, + { + "epoch": 0.89, + "grad_norm": 1.74136149479736, + "learning_rate": 6.247460656807857e-07, + "loss": 0.7662, + "step": 37789 + }, + { + "epoch": 0.89, + "grad_norm": 1.5386339875038653, + "learning_rate": 6.24480618129395e-07, + "loss": 0.7919, + "step": 37790 + }, + { + "epoch": 0.89, + "grad_norm": 1.556247492054005, + "learning_rate": 6.242152251652489e-07, + "loss": 0.744, + "step": 37791 + }, + { + "epoch": 0.89, + "grad_norm": 1.7946770338925802, + "learning_rate": 6.239498867898897e-07, + "loss": 0.9148, + "step": 37792 + }, + { + "epoch": 0.89, + "grad_norm": 1.594659768712965, + "learning_rate": 6.236846030048605e-07, + "loss": 0.9259, + "step": 37793 + }, + { + "epoch": 0.89, + "grad_norm": 1.498442751344131, + "learning_rate": 6.234193738117089e-07, + "loss": 0.8672, + "step": 37794 + }, + { + "epoch": 0.89, + "grad_norm": 1.7106846784600345, + "learning_rate": 6.231541992119794e-07, + "loss": 0.9089, + "step": 37795 + }, + { + "epoch": 0.89, + "grad_norm": 1.7164578367660694, + "learning_rate": 6.22889079207215e-07, + "loss": 0.7799, + "step": 37796 + }, + { + "epoch": 0.89, + "grad_norm": 1.5564829699478673, + "learning_rate": 6.226240137989581e-07, + "loss": 0.7693, + "step": 37797 + }, + { + "epoch": 0.89, + "grad_norm": 1.568842331930387, + "learning_rate": 6.223590029887516e-07, + "loss": 0.8434, + "step": 37798 + }, + { + "epoch": 0.89, + "grad_norm": 1.4756965678179688, + "learning_rate": 6.220940467781422e-07, + "loss": 0.7926, + "step": 37799 + }, + { + "epoch": 0.89, + "grad_norm": 1.8481865646918894, + "learning_rate": 6.218291451686709e-07, + "loss": 0.7751, + "step": 37800 + }, + { + "epoch": 0.89, + "grad_norm": 1.5659506774376137, + "learning_rate": 6.215642981618775e-07, + "loss": 0.8108, + "step": 37801 + }, + { + "epoch": 0.89, + "grad_norm": 1.5739478825621969, + "learning_rate": 6.212995057593052e-07, + "loss": 0.8736, + "step": 37802 + }, + { + "epoch": 0.89, + "grad_norm": 0.784959927232507, + "learning_rate": 6.210347679624984e-07, + "loss": 0.7397, + "step": 37803 + }, + { + "epoch": 0.89, + "grad_norm": 1.5661331815567887, + "learning_rate": 6.207700847729969e-07, + "loss": 0.9575, + "step": 37804 + }, + { + "epoch": 0.89, + "grad_norm": 1.5331910871683123, + "learning_rate": 6.205054561923396e-07, + "loss": 0.8857, + "step": 37805 + }, + { + "epoch": 0.89, + "grad_norm": 1.471201366858658, + "learning_rate": 6.202408822220696e-07, + "loss": 0.7696, + "step": 37806 + }, + { + "epoch": 0.89, + "grad_norm": 1.575556807944303, + "learning_rate": 6.199763628637267e-07, + "loss": 0.9313, + "step": 37807 + }, + { + "epoch": 0.89, + "grad_norm": 1.6921636734953587, + "learning_rate": 6.197118981188499e-07, + "loss": 0.7172, + "step": 37808 + }, + { + "epoch": 0.89, + "grad_norm": 1.993316312953679, + "learning_rate": 6.194474879889823e-07, + "loss": 0.8135, + "step": 37809 + }, + { + "epoch": 0.89, + "grad_norm": 1.6274403976382368, + "learning_rate": 6.191831324756615e-07, + "loss": 0.7693, + "step": 37810 + }, + { + "epoch": 0.89, + "grad_norm": 1.6593784207958553, + "learning_rate": 6.189188315804251e-07, + "loss": 0.6872, + "step": 37811 + }, + { + "epoch": 0.89, + "grad_norm": 2.327849607127844, + "learning_rate": 6.18654585304812e-07, + "loss": 0.9014, + "step": 37812 + }, + { + "epoch": 0.89, + "grad_norm": 1.5534905125793461, + "learning_rate": 6.183903936503666e-07, + "loss": 0.7357, + "step": 37813 + }, + { + "epoch": 0.89, + "grad_norm": 0.7852299521877818, + "learning_rate": 6.181262566186186e-07, + "loss": 0.7434, + "step": 37814 + }, + { + "epoch": 0.89, + "grad_norm": 1.8358920042888927, + "learning_rate": 6.178621742111102e-07, + "loss": 0.9227, + "step": 37815 + }, + { + "epoch": 0.89, + "grad_norm": 1.5376605729746577, + "learning_rate": 6.175981464293779e-07, + "loss": 0.8449, + "step": 37816 + }, + { + "epoch": 0.89, + "grad_norm": 1.4273590831464464, + "learning_rate": 6.173341732749627e-07, + "loss": 0.9316, + "step": 37817 + }, + { + "epoch": 0.89, + "grad_norm": 1.6654318116622315, + "learning_rate": 6.170702547493956e-07, + "loss": 0.8408, + "step": 37818 + }, + { + "epoch": 0.89, + "grad_norm": 1.768662900865135, + "learning_rate": 6.168063908542166e-07, + "loss": 0.8534, + "step": 37819 + }, + { + "epoch": 0.89, + "grad_norm": 1.4741441554339099, + "learning_rate": 6.16542581590962e-07, + "loss": 0.8492, + "step": 37820 + }, + { + "epoch": 0.89, + "grad_norm": 1.837512120536664, + "learning_rate": 6.162788269611664e-07, + "loss": 0.7929, + "step": 37821 + }, + { + "epoch": 0.89, + "grad_norm": 1.8341105866504446, + "learning_rate": 6.160151269663684e-07, + "loss": 0.7611, + "step": 37822 + }, + { + "epoch": 0.89, + "grad_norm": 1.4913706610212547, + "learning_rate": 6.157514816080989e-07, + "loss": 0.7844, + "step": 37823 + }, + { + "epoch": 0.89, + "grad_norm": 1.464051073417403, + "learning_rate": 6.15487890887897e-07, + "loss": 0.8396, + "step": 37824 + }, + { + "epoch": 0.89, + "grad_norm": 1.749160640413357, + "learning_rate": 6.152243548072933e-07, + "loss": 0.8483, + "step": 37825 + }, + { + "epoch": 0.89, + "grad_norm": 1.615351065021567, + "learning_rate": 6.149608733678269e-07, + "loss": 0.8178, + "step": 37826 + }, + { + "epoch": 0.89, + "grad_norm": 1.9227726205818365, + "learning_rate": 6.146974465710298e-07, + "loss": 0.8908, + "step": 37827 + }, + { + "epoch": 0.89, + "grad_norm": 1.6823712791651693, + "learning_rate": 6.144340744184341e-07, + "loss": 0.6831, + "step": 37828 + }, + { + "epoch": 0.89, + "grad_norm": 1.7413449842560607, + "learning_rate": 6.14170756911574e-07, + "loss": 0.8182, + "step": 37829 + }, + { + "epoch": 0.89, + "grad_norm": 1.5677724394460062, + "learning_rate": 6.139074940519851e-07, + "loss": 0.8684, + "step": 37830 + }, + { + "epoch": 0.89, + "grad_norm": 1.765272722670033, + "learning_rate": 6.136442858411984e-07, + "loss": 1.0015, + "step": 37831 + }, + { + "epoch": 0.89, + "grad_norm": 1.7566251513506828, + "learning_rate": 6.133811322807437e-07, + "loss": 0.8555, + "step": 37832 + }, + { + "epoch": 0.89, + "grad_norm": 1.7150074736995597, + "learning_rate": 6.131180333721576e-07, + "loss": 0.7411, + "step": 37833 + }, + { + "epoch": 0.89, + "grad_norm": 1.6712564794248672, + "learning_rate": 6.128549891169711e-07, + "loss": 0.7982, + "step": 37834 + }, + { + "epoch": 0.89, + "grad_norm": 1.8979329092574078, + "learning_rate": 6.12591999516714e-07, + "loss": 0.9587, + "step": 37835 + }, + { + "epoch": 0.89, + "grad_norm": 0.740994692580552, + "learning_rate": 6.123290645729174e-07, + "loss": 0.7343, + "step": 37836 + }, + { + "epoch": 0.89, + "grad_norm": 1.5618173961541455, + "learning_rate": 6.120661842871134e-07, + "loss": 0.8066, + "step": 37837 + }, + { + "epoch": 0.89, + "grad_norm": 1.8837342672519994, + "learning_rate": 6.11803358660833e-07, + "loss": 0.763, + "step": 37838 + }, + { + "epoch": 0.89, + "grad_norm": 4.003189092461196, + "learning_rate": 6.11540587695606e-07, + "loss": 0.782, + "step": 37839 + }, + { + "epoch": 0.89, + "grad_norm": 1.4994747770402224, + "learning_rate": 6.112778713929601e-07, + "loss": 0.7234, + "step": 37840 + }, + { + "epoch": 0.89, + "grad_norm": 1.6786606445387664, + "learning_rate": 6.110152097544286e-07, + "loss": 0.7132, + "step": 37841 + }, + { + "epoch": 0.89, + "grad_norm": 1.5973752442921367, + "learning_rate": 6.10752602781538e-07, + "loss": 0.7543, + "step": 37842 + }, + { + "epoch": 0.89, + "grad_norm": 1.8983306715355033, + "learning_rate": 6.104900504758193e-07, + "loss": 0.9244, + "step": 37843 + }, + { + "epoch": 0.89, + "grad_norm": 1.9001167249511863, + "learning_rate": 6.10227552838799e-07, + "loss": 0.7539, + "step": 37844 + }, + { + "epoch": 0.89, + "grad_norm": 1.490653096123779, + "learning_rate": 6.099651098720083e-07, + "loss": 0.8676, + "step": 37845 + }, + { + "epoch": 0.89, + "grad_norm": 1.7254149287988374, + "learning_rate": 6.097027215769725e-07, + "loss": 0.8197, + "step": 37846 + }, + { + "epoch": 0.89, + "grad_norm": 1.9144866817888995, + "learning_rate": 6.094403879552213e-07, + "loss": 0.8315, + "step": 37847 + }, + { + "epoch": 0.89, + "grad_norm": 1.5312665182092142, + "learning_rate": 6.091781090082804e-07, + "loss": 0.7624, + "step": 37848 + }, + { + "epoch": 0.89, + "grad_norm": 0.7065973099490912, + "learning_rate": 6.089158847376775e-07, + "loss": 0.6679, + "step": 37849 + }, + { + "epoch": 0.89, + "grad_norm": 1.6422836388108102, + "learning_rate": 6.08653715144939e-07, + "loss": 0.9273, + "step": 37850 + }, + { + "epoch": 0.89, + "grad_norm": 2.06971726510454, + "learning_rate": 6.083916002315926e-07, + "loss": 0.8264, + "step": 37851 + }, + { + "epoch": 0.89, + "grad_norm": 1.4650493565348268, + "learning_rate": 6.081295399991649e-07, + "loss": 0.7955, + "step": 37852 + }, + { + "epoch": 0.89, + "grad_norm": 1.8926511618245265, + "learning_rate": 6.07867534449178e-07, + "loss": 0.8959, + "step": 37853 + }, + { + "epoch": 0.89, + "grad_norm": 1.6672391348389386, + "learning_rate": 6.076055835831596e-07, + "loss": 0.8462, + "step": 37854 + }, + { + "epoch": 0.89, + "grad_norm": 1.9042480102865909, + "learning_rate": 6.073436874026373e-07, + "loss": 0.8273, + "step": 37855 + }, + { + "epoch": 0.89, + "grad_norm": 1.6539333651990298, + "learning_rate": 6.070818459091333e-07, + "loss": 0.7603, + "step": 37856 + }, + { + "epoch": 0.89, + "grad_norm": 1.5192364426856317, + "learning_rate": 6.068200591041717e-07, + "loss": 0.8115, + "step": 37857 + }, + { + "epoch": 0.89, + "grad_norm": 1.6921731370606286, + "learning_rate": 6.065583269892761e-07, + "loss": 0.8459, + "step": 37858 + }, + { + "epoch": 0.89, + "grad_norm": 0.8022875253452384, + "learning_rate": 6.06296649565975e-07, + "loss": 0.7276, + "step": 37859 + }, + { + "epoch": 0.89, + "grad_norm": 1.528189701411751, + "learning_rate": 6.060350268357873e-07, + "loss": 0.7853, + "step": 37860 + }, + { + "epoch": 0.89, + "grad_norm": 1.6808645811356024, + "learning_rate": 6.057734588002373e-07, + "loss": 0.8455, + "step": 37861 + }, + { + "epoch": 0.89, + "grad_norm": 1.549997196987651, + "learning_rate": 6.055119454608493e-07, + "loss": 0.6613, + "step": 37862 + }, + { + "epoch": 0.89, + "grad_norm": 1.9111469618044972, + "learning_rate": 6.052504868191444e-07, + "loss": 0.8995, + "step": 37863 + }, + { + "epoch": 0.89, + "grad_norm": 2.248449180957299, + "learning_rate": 6.049890828766458e-07, + "loss": 0.7644, + "step": 37864 + }, + { + "epoch": 0.89, + "grad_norm": 1.871773298333265, + "learning_rate": 6.047277336348745e-07, + "loss": 0.983, + "step": 37865 + }, + { + "epoch": 0.89, + "grad_norm": 1.4998468358141999, + "learning_rate": 6.044664390953547e-07, + "loss": 0.8008, + "step": 37866 + }, + { + "epoch": 0.89, + "grad_norm": 1.4215061827120181, + "learning_rate": 6.042051992596032e-07, + "loss": 0.8078, + "step": 37867 + }, + { + "epoch": 0.89, + "grad_norm": 2.3829664603458567, + "learning_rate": 6.039440141291464e-07, + "loss": 0.6473, + "step": 37868 + }, + { + "epoch": 0.89, + "grad_norm": 0.7762642323182568, + "learning_rate": 6.036828837055008e-07, + "loss": 0.7031, + "step": 37869 + }, + { + "epoch": 0.89, + "grad_norm": 0.7320562227576832, + "learning_rate": 6.034218079901877e-07, + "loss": 0.7017, + "step": 37870 + }, + { + "epoch": 0.89, + "grad_norm": 0.7719710943692131, + "learning_rate": 6.031607869847278e-07, + "loss": 0.6899, + "step": 37871 + }, + { + "epoch": 0.89, + "grad_norm": 1.5435834334777647, + "learning_rate": 6.028998206906423e-07, + "loss": 0.7829, + "step": 37872 + }, + { + "epoch": 0.89, + "grad_norm": 1.5686155378682496, + "learning_rate": 6.026389091094487e-07, + "loss": 1.0581, + "step": 37873 + }, + { + "epoch": 0.89, + "grad_norm": 0.7901768973056921, + "learning_rate": 6.023780522426659e-07, + "loss": 0.6825, + "step": 37874 + }, + { + "epoch": 0.89, + "grad_norm": 1.4330898697944814, + "learning_rate": 6.021172500918127e-07, + "loss": 0.8568, + "step": 37875 + }, + { + "epoch": 0.89, + "grad_norm": 1.9164981774226293, + "learning_rate": 6.018565026584089e-07, + "loss": 0.6863, + "step": 37876 + }, + { + "epoch": 0.89, + "grad_norm": 1.8615788104770863, + "learning_rate": 6.015958099439734e-07, + "loss": 0.8564, + "step": 37877 + }, + { + "epoch": 0.89, + "grad_norm": 1.5039337570597802, + "learning_rate": 6.013351719500205e-07, + "loss": 0.817, + "step": 37878 + }, + { + "epoch": 0.89, + "grad_norm": 1.7227065176580847, + "learning_rate": 6.010745886780689e-07, + "loss": 0.8604, + "step": 37879 + }, + { + "epoch": 0.89, + "grad_norm": 0.791986668391994, + "learning_rate": 6.008140601296398e-07, + "loss": 0.7477, + "step": 37880 + }, + { + "epoch": 0.89, + "grad_norm": 1.5202339318241014, + "learning_rate": 6.005535863062461e-07, + "loss": 0.8741, + "step": 37881 + }, + { + "epoch": 0.89, + "grad_norm": 1.7908809252024454, + "learning_rate": 6.002931672094037e-07, + "loss": 0.9292, + "step": 37882 + }, + { + "epoch": 0.89, + "grad_norm": 1.5366561648212522, + "learning_rate": 6.000328028406322e-07, + "loss": 0.8102, + "step": 37883 + }, + { + "epoch": 0.89, + "grad_norm": 4.189460326749329, + "learning_rate": 5.997724932014437e-07, + "loss": 0.8833, + "step": 37884 + }, + { + "epoch": 0.89, + "grad_norm": 1.3825427938086787, + "learning_rate": 5.995122382933571e-07, + "loss": 0.6707, + "step": 37885 + }, + { + "epoch": 0.89, + "grad_norm": 1.8067701407351893, + "learning_rate": 5.992520381178857e-07, + "loss": 0.8945, + "step": 37886 + }, + { + "epoch": 0.89, + "grad_norm": 1.515326012372003, + "learning_rate": 5.98991892676547e-07, + "loss": 0.8741, + "step": 37887 + }, + { + "epoch": 0.89, + "grad_norm": 1.5459039632134595, + "learning_rate": 5.98731801970851e-07, + "loss": 0.7744, + "step": 37888 + }, + { + "epoch": 0.89, + "grad_norm": 1.5876444104839706, + "learning_rate": 5.984717660023176e-07, + "loss": 0.7947, + "step": 37889 + }, + { + "epoch": 0.89, + "grad_norm": 1.6157622826035152, + "learning_rate": 5.982117847724567e-07, + "loss": 0.7033, + "step": 37890 + }, + { + "epoch": 0.89, + "grad_norm": 1.8722615300898946, + "learning_rate": 5.979518582827826e-07, + "loss": 1.0109, + "step": 37891 + }, + { + "epoch": 0.89, + "grad_norm": 1.5661422918898913, + "learning_rate": 5.976919865348097e-07, + "loss": 0.694, + "step": 37892 + }, + { + "epoch": 0.89, + "grad_norm": 0.7025193085109915, + "learning_rate": 5.974321695300523e-07, + "loss": 0.7019, + "step": 37893 + }, + { + "epoch": 0.89, + "grad_norm": 4.681691279635103, + "learning_rate": 5.971724072700213e-07, + "loss": 0.912, + "step": 37894 + }, + { + "epoch": 0.89, + "grad_norm": 1.6410067086927032, + "learning_rate": 5.96912699756228e-07, + "loss": 0.9114, + "step": 37895 + }, + { + "epoch": 0.89, + "grad_norm": 1.5907695174633176, + "learning_rate": 5.966530469901854e-07, + "loss": 0.846, + "step": 37896 + }, + { + "epoch": 0.89, + "grad_norm": 1.7336059783883113, + "learning_rate": 5.96393448973408e-07, + "loss": 0.7041, + "step": 37897 + }, + { + "epoch": 0.89, + "grad_norm": 1.6976354574204775, + "learning_rate": 5.961339057074045e-07, + "loss": 0.7477, + "step": 37898 + }, + { + "epoch": 0.89, + "grad_norm": 1.4153339169368686, + "learning_rate": 5.958744171936859e-07, + "loss": 0.8227, + "step": 37899 + }, + { + "epoch": 0.89, + "grad_norm": 1.4903099394310042, + "learning_rate": 5.956149834337632e-07, + "loss": 0.7719, + "step": 37900 + }, + { + "epoch": 0.89, + "grad_norm": 1.3878883507370332, + "learning_rate": 5.953556044291487e-07, + "loss": 0.7128, + "step": 37901 + }, + { + "epoch": 0.89, + "grad_norm": 1.787243566692772, + "learning_rate": 5.950962801813521e-07, + "loss": 0.7598, + "step": 37902 + }, + { + "epoch": 0.89, + "grad_norm": 1.9490223931826212, + "learning_rate": 5.948370106918799e-07, + "loss": 0.7735, + "step": 37903 + }, + { + "epoch": 0.89, + "grad_norm": 1.574580813384026, + "learning_rate": 5.945777959622467e-07, + "loss": 0.8499, + "step": 37904 + }, + { + "epoch": 0.89, + "grad_norm": 2.73529001162753, + "learning_rate": 5.943186359939579e-07, + "loss": 0.793, + "step": 37905 + }, + { + "epoch": 0.89, + "grad_norm": 0.7276748541503143, + "learning_rate": 5.940595307885233e-07, + "loss": 0.7111, + "step": 37906 + }, + { + "epoch": 0.89, + "grad_norm": 0.7742150441708311, + "learning_rate": 5.93800480347454e-07, + "loss": 0.7149, + "step": 37907 + }, + { + "epoch": 0.89, + "grad_norm": 1.8568211875545162, + "learning_rate": 5.935414846722554e-07, + "loss": 0.8911, + "step": 37908 + }, + { + "epoch": 0.89, + "grad_norm": 2.712856803380086, + "learning_rate": 5.932825437644352e-07, + "loss": 0.8457, + "step": 37909 + }, + { + "epoch": 0.89, + "grad_norm": 1.538285150910181, + "learning_rate": 5.930236576255022e-07, + "loss": 0.9046, + "step": 37910 + }, + { + "epoch": 0.89, + "grad_norm": 1.8931069287343252, + "learning_rate": 5.927648262569663e-07, + "loss": 0.7238, + "step": 37911 + }, + { + "epoch": 0.89, + "grad_norm": 1.6610396838167116, + "learning_rate": 5.925060496603297e-07, + "loss": 0.8631, + "step": 37912 + }, + { + "epoch": 0.89, + "grad_norm": 1.6284189004945449, + "learning_rate": 5.92247327837101e-07, + "loss": 0.7962, + "step": 37913 + }, + { + "epoch": 0.89, + "grad_norm": 1.5887152370225253, + "learning_rate": 5.919886607887859e-07, + "loss": 0.7891, + "step": 37914 + }, + { + "epoch": 0.89, + "grad_norm": 1.5215864939171564, + "learning_rate": 5.917300485168953e-07, + "loss": 0.7362, + "step": 37915 + }, + { + "epoch": 0.89, + "grad_norm": 1.7780535800570525, + "learning_rate": 5.91471491022928e-07, + "loss": 0.7904, + "step": 37916 + }, + { + "epoch": 0.89, + "grad_norm": 0.7502255117601496, + "learning_rate": 5.912129883083917e-07, + "loss": 0.7348, + "step": 37917 + }, + { + "epoch": 0.89, + "grad_norm": 1.7257862843192737, + "learning_rate": 5.909545403747941e-07, + "loss": 0.8495, + "step": 37918 + }, + { + "epoch": 0.89, + "grad_norm": 1.5762091022403226, + "learning_rate": 5.906961472236361e-07, + "loss": 0.9089, + "step": 37919 + }, + { + "epoch": 0.89, + "grad_norm": 1.5101338695188347, + "learning_rate": 5.904378088564255e-07, + "loss": 0.7647, + "step": 37920 + }, + { + "epoch": 0.89, + "grad_norm": 1.617867735426475, + "learning_rate": 5.901795252746644e-07, + "loss": 0.8372, + "step": 37921 + }, + { + "epoch": 0.89, + "grad_norm": 1.404546742487272, + "learning_rate": 5.899212964798584e-07, + "loss": 0.9239, + "step": 37922 + }, + { + "epoch": 0.89, + "grad_norm": 1.6326375090676815, + "learning_rate": 5.896631224735072e-07, + "loss": 0.9035, + "step": 37923 + }, + { + "epoch": 0.89, + "grad_norm": 2.5244210738872357, + "learning_rate": 5.894050032571197e-07, + "loss": 0.9032, + "step": 37924 + }, + { + "epoch": 0.89, + "grad_norm": 1.6699496549950323, + "learning_rate": 5.891469388321936e-07, + "loss": 0.7749, + "step": 37925 + }, + { + "epoch": 0.89, + "grad_norm": 1.7938462547300613, + "learning_rate": 5.888889292002342e-07, + "loss": 0.8575, + "step": 37926 + }, + { + "epoch": 0.89, + "grad_norm": 1.9021037846639257, + "learning_rate": 5.886309743627416e-07, + "loss": 0.9978, + "step": 37927 + }, + { + "epoch": 0.89, + "grad_norm": 1.6259978161244701, + "learning_rate": 5.883730743212213e-07, + "loss": 0.9029, + "step": 37928 + }, + { + "epoch": 0.89, + "grad_norm": 1.642023323796328, + "learning_rate": 5.881152290771719e-07, + "loss": 0.8198, + "step": 37929 + }, + { + "epoch": 0.89, + "grad_norm": 1.5173046013502862, + "learning_rate": 5.878574386320945e-07, + "loss": 0.853, + "step": 37930 + }, + { + "epoch": 0.89, + "grad_norm": 1.8867597263908578, + "learning_rate": 5.875997029874903e-07, + "loss": 0.8242, + "step": 37931 + }, + { + "epoch": 0.89, + "grad_norm": 1.6280613392901688, + "learning_rate": 5.873420221448623e-07, + "loss": 0.8176, + "step": 37932 + }, + { + "epoch": 0.89, + "grad_norm": 1.5501805574107332, + "learning_rate": 5.870843961057093e-07, + "loss": 0.6919, + "step": 37933 + }, + { + "epoch": 0.89, + "grad_norm": 1.4267219411089371, + "learning_rate": 5.868268248715292e-07, + "loss": 0.8485, + "step": 37934 + }, + { + "epoch": 0.89, + "grad_norm": 1.5113860849025684, + "learning_rate": 5.86569308443824e-07, + "loss": 0.8781, + "step": 37935 + }, + { + "epoch": 0.89, + "grad_norm": 1.9410922659280774, + "learning_rate": 5.863118468240936e-07, + "loss": 0.8457, + "step": 37936 + }, + { + "epoch": 0.89, + "grad_norm": 1.547831480154693, + "learning_rate": 5.860544400138357e-07, + "loss": 0.8569, + "step": 37937 + }, + { + "epoch": 0.89, + "grad_norm": 1.671526558769813, + "learning_rate": 5.857970880145492e-07, + "loss": 0.8512, + "step": 37938 + }, + { + "epoch": 0.89, + "grad_norm": 1.8012875969249182, + "learning_rate": 5.855397908277305e-07, + "loss": 0.8294, + "step": 37939 + }, + { + "epoch": 0.89, + "grad_norm": 1.7460660232525642, + "learning_rate": 5.85282548454883e-07, + "loss": 0.9129, + "step": 37940 + }, + { + "epoch": 0.89, + "grad_norm": 1.5249590867932379, + "learning_rate": 5.850253608974998e-07, + "loss": 0.6234, + "step": 37941 + }, + { + "epoch": 0.89, + "grad_norm": 1.4726961662706701, + "learning_rate": 5.847682281570788e-07, + "loss": 0.8038, + "step": 37942 + }, + { + "epoch": 0.89, + "grad_norm": 1.6936149324579732, + "learning_rate": 5.845111502351197e-07, + "loss": 0.7993, + "step": 37943 + }, + { + "epoch": 0.89, + "grad_norm": 1.4720856330196004, + "learning_rate": 5.842541271331148e-07, + "loss": 0.8146, + "step": 37944 + }, + { + "epoch": 0.89, + "grad_norm": 1.9456311015198904, + "learning_rate": 5.839971588525661e-07, + "loss": 0.929, + "step": 37945 + }, + { + "epoch": 0.89, + "grad_norm": 1.7710092034530436, + "learning_rate": 5.837402453949648e-07, + "loss": 0.8567, + "step": 37946 + }, + { + "epoch": 0.89, + "grad_norm": 1.559791241117992, + "learning_rate": 5.834833867618117e-07, + "loss": 0.961, + "step": 37947 + }, + { + "epoch": 0.89, + "grad_norm": 0.7399367957113445, + "learning_rate": 5.832265829545969e-07, + "loss": 0.7158, + "step": 37948 + }, + { + "epoch": 0.89, + "grad_norm": 0.7654851538571726, + "learning_rate": 5.829698339748202e-07, + "loss": 0.6825, + "step": 37949 + }, + { + "epoch": 0.89, + "grad_norm": 1.5734164967330448, + "learning_rate": 5.827131398239738e-07, + "loss": 0.8572, + "step": 37950 + }, + { + "epoch": 0.89, + "grad_norm": 1.4957063566485802, + "learning_rate": 5.824565005035521e-07, + "loss": 0.8714, + "step": 37951 + }, + { + "epoch": 0.89, + "grad_norm": 0.7519599885596348, + "learning_rate": 5.821999160150504e-07, + "loss": 0.6542, + "step": 37952 + }, + { + "epoch": 0.89, + "grad_norm": 1.6890048256727037, + "learning_rate": 5.819433863599633e-07, + "loss": 0.8251, + "step": 37953 + }, + { + "epoch": 0.89, + "grad_norm": 0.7388357626130742, + "learning_rate": 5.816869115397838e-07, + "loss": 0.6731, + "step": 37954 + }, + { + "epoch": 0.89, + "grad_norm": 1.4668267739644953, + "learning_rate": 5.814304915560031e-07, + "loss": 0.7597, + "step": 37955 + }, + { + "epoch": 0.89, + "grad_norm": 1.6110023120910342, + "learning_rate": 5.811741264101167e-07, + "loss": 0.7909, + "step": 37956 + }, + { + "epoch": 0.89, + "grad_norm": 1.7271595247735774, + "learning_rate": 5.809178161036166e-07, + "loss": 0.795, + "step": 37957 + }, + { + "epoch": 0.89, + "grad_norm": 1.5373189786948391, + "learning_rate": 5.806615606379961e-07, + "loss": 0.9258, + "step": 37958 + }, + { + "epoch": 0.89, + "grad_norm": 0.7421250573904234, + "learning_rate": 5.804053600147452e-07, + "loss": 0.6872, + "step": 37959 + }, + { + "epoch": 0.89, + "grad_norm": 1.65070842454935, + "learning_rate": 5.801492142353549e-07, + "loss": 0.8733, + "step": 37960 + }, + { + "epoch": 0.89, + "grad_norm": 1.6219883655265883, + "learning_rate": 5.798931233013205e-07, + "loss": 0.9384, + "step": 37961 + }, + { + "epoch": 0.89, + "grad_norm": 2.355907899709926, + "learning_rate": 5.796370872141311e-07, + "loss": 0.6891, + "step": 37962 + }, + { + "epoch": 0.89, + "grad_norm": 1.6257468794503365, + "learning_rate": 5.793811059752752e-07, + "loss": 0.8217, + "step": 37963 + }, + { + "epoch": 0.89, + "grad_norm": 1.6814915969716238, + "learning_rate": 5.791251795862463e-07, + "loss": 0.8264, + "step": 37964 + }, + { + "epoch": 0.89, + "grad_norm": 1.5772823017659, + "learning_rate": 5.788693080485319e-07, + "loss": 0.7879, + "step": 37965 + }, + { + "epoch": 0.89, + "grad_norm": 1.4935003784689105, + "learning_rate": 5.786134913636243e-07, + "loss": 0.7245, + "step": 37966 + }, + { + "epoch": 0.89, + "grad_norm": 1.472898468040509, + "learning_rate": 5.7835772953301e-07, + "loss": 0.8029, + "step": 37967 + }, + { + "epoch": 0.89, + "grad_norm": 1.779764709515461, + "learning_rate": 5.781020225581813e-07, + "loss": 0.8594, + "step": 37968 + }, + { + "epoch": 0.89, + "grad_norm": 1.9211669799858593, + "learning_rate": 5.778463704406245e-07, + "loss": 0.8071, + "step": 37969 + }, + { + "epoch": 0.89, + "grad_norm": 1.5719180194517652, + "learning_rate": 5.775907731818308e-07, + "loss": 0.9025, + "step": 37970 + }, + { + "epoch": 0.89, + "grad_norm": 0.7770891907390828, + "learning_rate": 5.773352307832869e-07, + "loss": 0.6562, + "step": 37971 + }, + { + "epoch": 0.89, + "grad_norm": 1.5791456705743945, + "learning_rate": 5.770797432464781e-07, + "loss": 0.8183, + "step": 37972 + }, + { + "epoch": 0.89, + "grad_norm": 4.339895753473523, + "learning_rate": 5.768243105728954e-07, + "loss": 0.8425, + "step": 37973 + }, + { + "epoch": 0.89, + "grad_norm": 1.973999199077869, + "learning_rate": 5.765689327640256e-07, + "loss": 0.8008, + "step": 37974 + }, + { + "epoch": 0.89, + "grad_norm": 1.4927906621595626, + "learning_rate": 5.763136098213551e-07, + "loss": 0.8421, + "step": 37975 + }, + { + "epoch": 0.89, + "grad_norm": 1.64957994471899, + "learning_rate": 5.760583417463683e-07, + "loss": 0.8996, + "step": 37976 + }, + { + "epoch": 0.89, + "grad_norm": 1.6198108186102562, + "learning_rate": 5.758031285405541e-07, + "loss": 0.8535, + "step": 37977 + }, + { + "epoch": 0.89, + "grad_norm": 1.5299276550917849, + "learning_rate": 5.755479702053979e-07, + "loss": 0.8218, + "step": 37978 + }, + { + "epoch": 0.89, + "grad_norm": 1.5025786631236093, + "learning_rate": 5.752928667423862e-07, + "loss": 0.7563, + "step": 37979 + }, + { + "epoch": 0.89, + "grad_norm": 1.4696905262385098, + "learning_rate": 5.750378181530025e-07, + "loss": 0.8578, + "step": 37980 + }, + { + "epoch": 0.89, + "grad_norm": 1.7634727279882234, + "learning_rate": 5.74782824438731e-07, + "loss": 0.8972, + "step": 37981 + }, + { + "epoch": 0.89, + "grad_norm": 1.5837491572396123, + "learning_rate": 5.745278856010605e-07, + "loss": 0.8246, + "step": 37982 + }, + { + "epoch": 0.89, + "grad_norm": 1.840866072045499, + "learning_rate": 5.742730016414722e-07, + "loss": 0.7718, + "step": 37983 + }, + { + "epoch": 0.89, + "grad_norm": 1.580866837290975, + "learning_rate": 5.740181725614491e-07, + "loss": 0.7201, + "step": 37984 + }, + { + "epoch": 0.89, + "grad_norm": 1.5454486596175785, + "learning_rate": 5.737633983624779e-07, + "loss": 0.7204, + "step": 37985 + }, + { + "epoch": 0.89, + "grad_norm": 1.6313786629123883, + "learning_rate": 5.735086790460387e-07, + "loss": 0.7899, + "step": 37986 + }, + { + "epoch": 0.89, + "grad_norm": 1.5236267596412667, + "learning_rate": 5.73254014613619e-07, + "loss": 0.6675, + "step": 37987 + }, + { + "epoch": 0.89, + "grad_norm": 0.7508992749002352, + "learning_rate": 5.729994050666965e-07, + "loss": 0.6846, + "step": 37988 + }, + { + "epoch": 0.89, + "grad_norm": 2.6139893391494664, + "learning_rate": 5.727448504067578e-07, + "loss": 0.8297, + "step": 37989 + }, + { + "epoch": 0.9, + "grad_norm": 1.6054183603344296, + "learning_rate": 5.724903506352808e-07, + "loss": 1.003, + "step": 37990 + }, + { + "epoch": 0.9, + "grad_norm": 1.7386465336441537, + "learning_rate": 5.722359057537519e-07, + "loss": 0.8949, + "step": 37991 + }, + { + "epoch": 0.9, + "grad_norm": 0.7364244188016434, + "learning_rate": 5.71981515763651e-07, + "loss": 0.7433, + "step": 37992 + }, + { + "epoch": 0.9, + "grad_norm": 1.6475244465618124, + "learning_rate": 5.71727180666456e-07, + "loss": 0.9197, + "step": 37993 + }, + { + "epoch": 0.9, + "grad_norm": 1.5105318501626694, + "learning_rate": 5.71472900463651e-07, + "loss": 0.7274, + "step": 37994 + }, + { + "epoch": 0.9, + "grad_norm": 1.6939483395404504, + "learning_rate": 5.71218675156715e-07, + "loss": 0.7083, + "step": 37995 + }, + { + "epoch": 0.9, + "grad_norm": 1.5281835271253477, + "learning_rate": 5.709645047471324e-07, + "loss": 0.8148, + "step": 37996 + }, + { + "epoch": 0.9, + "grad_norm": 1.6905773041469914, + "learning_rate": 5.707103892363774e-07, + "loss": 0.7515, + "step": 37997 + }, + { + "epoch": 0.9, + "grad_norm": 1.9940446349844652, + "learning_rate": 5.704563286259313e-07, + "loss": 0.8581, + "step": 37998 + }, + { + "epoch": 0.9, + "grad_norm": 1.5874534098451387, + "learning_rate": 5.702023229172749e-07, + "loss": 0.6715, + "step": 37999 + }, + { + "epoch": 0.9, + "grad_norm": 1.5358533720088732, + "learning_rate": 5.699483721118859e-07, + "loss": 0.8646, + "step": 38000 + }, + { + "epoch": 0.9, + "grad_norm": 1.5704483753639833, + "learning_rate": 5.696944762112422e-07, + "loss": 0.8046, + "step": 38001 + }, + { + "epoch": 0.9, + "grad_norm": 1.6929770966472293, + "learning_rate": 5.694406352168214e-07, + "loss": 0.8609, + "step": 38002 + }, + { + "epoch": 0.9, + "grad_norm": 1.603121023065403, + "learning_rate": 5.691868491301056e-07, + "loss": 0.7689, + "step": 38003 + }, + { + "epoch": 0.9, + "grad_norm": 1.6642148857990278, + "learning_rate": 5.689331179525681e-07, + "loss": 0.9371, + "step": 38004 + }, + { + "epoch": 0.9, + "grad_norm": 1.5703167056247098, + "learning_rate": 5.686794416856889e-07, + "loss": 0.7537, + "step": 38005 + }, + { + "epoch": 0.9, + "grad_norm": 1.7069362005869357, + "learning_rate": 5.684258203309446e-07, + "loss": 0.9645, + "step": 38006 + }, + { + "epoch": 0.9, + "grad_norm": 1.8770350670536302, + "learning_rate": 5.681722538898093e-07, + "loss": 0.7664, + "step": 38007 + }, + { + "epoch": 0.9, + "grad_norm": 1.6663873660831572, + "learning_rate": 5.679187423637611e-07, + "loss": 0.9072, + "step": 38008 + }, + { + "epoch": 0.9, + "grad_norm": 1.5765486041215488, + "learning_rate": 5.676652857542775e-07, + "loss": 0.7547, + "step": 38009 + }, + { + "epoch": 0.9, + "grad_norm": 0.7207213158576411, + "learning_rate": 5.674118840628329e-07, + "loss": 0.6279, + "step": 38010 + }, + { + "epoch": 0.9, + "grad_norm": 1.5080546388841312, + "learning_rate": 5.671585372909016e-07, + "loss": 0.8454, + "step": 38011 + }, + { + "epoch": 0.9, + "grad_norm": 1.6774066835849517, + "learning_rate": 5.669052454399593e-07, + "loss": 0.8128, + "step": 38012 + }, + { + "epoch": 0.9, + "grad_norm": 1.5390608229755085, + "learning_rate": 5.666520085114846e-07, + "loss": 0.8323, + "step": 38013 + }, + { + "epoch": 0.9, + "grad_norm": 2.226975154962209, + "learning_rate": 5.663988265069454e-07, + "loss": 0.8055, + "step": 38014 + }, + { + "epoch": 0.9, + "grad_norm": 1.8046008960016788, + "learning_rate": 5.661456994278181e-07, + "loss": 0.7153, + "step": 38015 + }, + { + "epoch": 0.9, + "grad_norm": 1.4891410657195114, + "learning_rate": 5.658926272755772e-07, + "loss": 0.8931, + "step": 38016 + }, + { + "epoch": 0.9, + "grad_norm": 1.6377936416443994, + "learning_rate": 5.656396100516981e-07, + "loss": 0.8888, + "step": 38017 + }, + { + "epoch": 0.9, + "grad_norm": 1.619517087131213, + "learning_rate": 5.65386647757652e-07, + "loss": 0.9181, + "step": 38018 + }, + { + "epoch": 0.9, + "grad_norm": 0.7696691428622007, + "learning_rate": 5.651337403949109e-07, + "loss": 0.6816, + "step": 38019 + }, + { + "epoch": 0.9, + "grad_norm": 1.963254656117752, + "learning_rate": 5.648808879649493e-07, + "loss": 0.7699, + "step": 38020 + }, + { + "epoch": 0.9, + "grad_norm": 1.5250654384148896, + "learning_rate": 5.64628090469237e-07, + "loss": 0.7673, + "step": 38021 + }, + { + "epoch": 0.9, + "grad_norm": 1.4874400006778152, + "learning_rate": 5.643753479092473e-07, + "loss": 0.7956, + "step": 38022 + }, + { + "epoch": 0.9, + "grad_norm": 2.0681343211422547, + "learning_rate": 5.641226602864514e-07, + "loss": 0.6941, + "step": 38023 + }, + { + "epoch": 0.9, + "grad_norm": 1.5936614691215742, + "learning_rate": 5.638700276023223e-07, + "loss": 0.9993, + "step": 38024 + }, + { + "epoch": 0.9, + "grad_norm": 1.562169950279378, + "learning_rate": 5.636174498583269e-07, + "loss": 0.7713, + "step": 38025 + }, + { + "epoch": 0.9, + "grad_norm": 2.6570347893984745, + "learning_rate": 5.633649270559405e-07, + "loss": 0.8566, + "step": 38026 + }, + { + "epoch": 0.9, + "grad_norm": 1.4595585498584054, + "learning_rate": 5.631124591966308e-07, + "loss": 0.7784, + "step": 38027 + }, + { + "epoch": 0.9, + "grad_norm": 0.7988894007241849, + "learning_rate": 5.628600462818668e-07, + "loss": 0.7207, + "step": 38028 + }, + { + "epoch": 0.9, + "grad_norm": 1.5242633159880734, + "learning_rate": 5.626076883131193e-07, + "loss": 0.7193, + "step": 38029 + }, + { + "epoch": 0.9, + "grad_norm": 1.6104537160184436, + "learning_rate": 5.623553852918584e-07, + "loss": 0.6698, + "step": 38030 + }, + { + "epoch": 0.9, + "grad_norm": 1.700909403473865, + "learning_rate": 5.621031372195529e-07, + "loss": 0.9711, + "step": 38031 + }, + { + "epoch": 0.9, + "grad_norm": 1.5183858300549653, + "learning_rate": 5.618509440976694e-07, + "loss": 0.8746, + "step": 38032 + }, + { + "epoch": 0.9, + "grad_norm": 1.6997826729123295, + "learning_rate": 5.615988059276777e-07, + "loss": 0.8931, + "step": 38033 + }, + { + "epoch": 0.9, + "grad_norm": 1.8036721448826445, + "learning_rate": 5.613467227110481e-07, + "loss": 0.7996, + "step": 38034 + }, + { + "epoch": 0.9, + "grad_norm": 1.5022870316646788, + "learning_rate": 5.610946944492457e-07, + "loss": 0.6959, + "step": 38035 + }, + { + "epoch": 0.9, + "grad_norm": 1.651042296691089, + "learning_rate": 5.608427211437362e-07, + "loss": 0.7789, + "step": 38036 + }, + { + "epoch": 0.9, + "grad_norm": 1.6670901004427547, + "learning_rate": 5.605908027959894e-07, + "loss": 0.749, + "step": 38037 + }, + { + "epoch": 0.9, + "grad_norm": 1.4447155702835328, + "learning_rate": 5.603389394074732e-07, + "loss": 0.7412, + "step": 38038 + }, + { + "epoch": 0.9, + "grad_norm": 1.8052233483543119, + "learning_rate": 5.600871309796519e-07, + "loss": 0.805, + "step": 38039 + }, + { + "epoch": 0.9, + "grad_norm": 1.7624003341677035, + "learning_rate": 5.598353775139898e-07, + "loss": 0.8548, + "step": 38040 + }, + { + "epoch": 0.9, + "grad_norm": 1.4297373736016086, + "learning_rate": 5.595836790119569e-07, + "loss": 0.8314, + "step": 38041 + }, + { + "epoch": 0.9, + "grad_norm": 1.590811305001554, + "learning_rate": 5.593320354750154e-07, + "loss": 0.8223, + "step": 38042 + }, + { + "epoch": 0.9, + "grad_norm": 1.5768135606948614, + "learning_rate": 5.59080446904633e-07, + "loss": 0.8251, + "step": 38043 + }, + { + "epoch": 0.9, + "grad_norm": 1.5485505788767264, + "learning_rate": 5.588289133022706e-07, + "loss": 0.8344, + "step": 38044 + }, + { + "epoch": 0.9, + "grad_norm": 1.992640251920453, + "learning_rate": 5.585774346693984e-07, + "loss": 0.8199, + "step": 38045 + }, + { + "epoch": 0.9, + "grad_norm": 0.7447442112531604, + "learning_rate": 5.583260110074751e-07, + "loss": 0.6626, + "step": 38046 + }, + { + "epoch": 0.9, + "grad_norm": 1.7362003328836166, + "learning_rate": 5.580746423179684e-07, + "loss": 0.7785, + "step": 38047 + }, + { + "epoch": 0.9, + "grad_norm": 1.8662439331980913, + "learning_rate": 5.578233286023393e-07, + "loss": 0.7815, + "step": 38048 + }, + { + "epoch": 0.9, + "grad_norm": 1.5777300235479792, + "learning_rate": 5.575720698620535e-07, + "loss": 0.713, + "step": 38049 + }, + { + "epoch": 0.9, + "grad_norm": 1.6066889698753564, + "learning_rate": 5.573208660985707e-07, + "loss": 0.7337, + "step": 38050 + }, + { + "epoch": 0.9, + "grad_norm": 1.4362225875539691, + "learning_rate": 5.570697173133565e-07, + "loss": 0.6946, + "step": 38051 + }, + { + "epoch": 0.9, + "grad_norm": 1.5469442539670293, + "learning_rate": 5.568186235078732e-07, + "loss": 0.9065, + "step": 38052 + }, + { + "epoch": 0.9, + "grad_norm": 1.8435540206565766, + "learning_rate": 5.565675846835794e-07, + "loss": 0.6711, + "step": 38053 + }, + { + "epoch": 0.9, + "grad_norm": 1.5947604434568843, + "learning_rate": 5.563166008419385e-07, + "loss": 0.8284, + "step": 38054 + }, + { + "epoch": 0.9, + "grad_norm": 2.0813671581177053, + "learning_rate": 5.560656719844149e-07, + "loss": 0.8285, + "step": 38055 + }, + { + "epoch": 0.9, + "grad_norm": 1.7356481811317055, + "learning_rate": 5.55814798112465e-07, + "loss": 0.8516, + "step": 38056 + }, + { + "epoch": 0.9, + "grad_norm": 1.6063529079682926, + "learning_rate": 5.555639792275514e-07, + "loss": 0.7275, + "step": 38057 + }, + { + "epoch": 0.9, + "grad_norm": 1.5496774034836858, + "learning_rate": 5.553132153311335e-07, + "loss": 0.7691, + "step": 38058 + }, + { + "epoch": 0.9, + "grad_norm": 1.8321488456180903, + "learning_rate": 5.55062506424674e-07, + "loss": 0.7836, + "step": 38059 + }, + { + "epoch": 0.9, + "grad_norm": 1.5350058079177473, + "learning_rate": 5.548118525096313e-07, + "loss": 0.8691, + "step": 38060 + }, + { + "epoch": 0.9, + "grad_norm": 1.7269617379737279, + "learning_rate": 5.545612535874622e-07, + "loss": 0.8384, + "step": 38061 + }, + { + "epoch": 0.9, + "grad_norm": 2.1158027889061644, + "learning_rate": 5.543107096596279e-07, + "loss": 0.8239, + "step": 38062 + }, + { + "epoch": 0.9, + "grad_norm": 2.0417343611094907, + "learning_rate": 5.54060220727588e-07, + "loss": 0.9333, + "step": 38063 + }, + { + "epoch": 0.9, + "grad_norm": 1.5012038389773354, + "learning_rate": 5.538097867928016e-07, + "loss": 0.8909, + "step": 38064 + }, + { + "epoch": 0.9, + "grad_norm": 1.8081492624869206, + "learning_rate": 5.53559407856722e-07, + "loss": 0.8502, + "step": 38065 + }, + { + "epoch": 0.9, + "grad_norm": 1.8122903431644, + "learning_rate": 5.533090839208133e-07, + "loss": 0.7366, + "step": 38066 + }, + { + "epoch": 0.9, + "grad_norm": 1.69633612650846, + "learning_rate": 5.530588149865268e-07, + "loss": 0.8996, + "step": 38067 + }, + { + "epoch": 0.9, + "grad_norm": 1.653566690132535, + "learning_rate": 5.528086010553257e-07, + "loss": 0.7829, + "step": 38068 + }, + { + "epoch": 0.9, + "grad_norm": 1.6739745568266626, + "learning_rate": 5.525584421286612e-07, + "loss": 0.6715, + "step": 38069 + }, + { + "epoch": 0.9, + "grad_norm": 1.7804395947442992, + "learning_rate": 5.523083382079952e-07, + "loss": 0.7517, + "step": 38070 + }, + { + "epoch": 0.9, + "grad_norm": 1.3542887225927238, + "learning_rate": 5.520582892947779e-07, + "loss": 0.6769, + "step": 38071 + }, + { + "epoch": 0.9, + "grad_norm": 1.5050837668761265, + "learning_rate": 5.518082953904714e-07, + "loss": 0.9025, + "step": 38072 + }, + { + "epoch": 0.9, + "grad_norm": 1.6230209978783017, + "learning_rate": 5.515583564965277e-07, + "loss": 0.8197, + "step": 38073 + }, + { + "epoch": 0.9, + "grad_norm": 1.583741479337011, + "learning_rate": 5.513084726144013e-07, + "loss": 0.8907, + "step": 38074 + }, + { + "epoch": 0.9, + "grad_norm": 3.1634608728802602, + "learning_rate": 5.510586437455478e-07, + "loss": 0.8218, + "step": 38075 + }, + { + "epoch": 0.9, + "grad_norm": 1.4630371941133353, + "learning_rate": 5.508088698914249e-07, + "loss": 0.8087, + "step": 38076 + }, + { + "epoch": 0.9, + "grad_norm": 1.5805317159844634, + "learning_rate": 5.505591510534836e-07, + "loss": 0.9129, + "step": 38077 + }, + { + "epoch": 0.9, + "grad_norm": 1.6688650355813086, + "learning_rate": 5.503094872331771e-07, + "loss": 0.7968, + "step": 38078 + }, + { + "epoch": 0.9, + "grad_norm": 1.576423623492915, + "learning_rate": 5.5005987843196e-07, + "loss": 0.8237, + "step": 38079 + }, + { + "epoch": 0.9, + "grad_norm": 1.6761468431257582, + "learning_rate": 5.498103246512887e-07, + "loss": 0.8578, + "step": 38080 + }, + { + "epoch": 0.9, + "grad_norm": 1.5458398617423532, + "learning_rate": 5.495608258926133e-07, + "loss": 0.9184, + "step": 38081 + }, + { + "epoch": 0.9, + "grad_norm": 2.2866532271607984, + "learning_rate": 5.493113821573847e-07, + "loss": 0.7891, + "step": 38082 + }, + { + "epoch": 0.9, + "grad_norm": 2.0545542078066994, + "learning_rate": 5.490619934470576e-07, + "loss": 0.8729, + "step": 38083 + }, + { + "epoch": 0.9, + "grad_norm": 1.602821712310915, + "learning_rate": 5.48812659763085e-07, + "loss": 0.879, + "step": 38084 + }, + { + "epoch": 0.9, + "grad_norm": 1.9789379070866702, + "learning_rate": 5.485633811069169e-07, + "loss": 0.7065, + "step": 38085 + }, + { + "epoch": 0.9, + "grad_norm": 0.8102085457500703, + "learning_rate": 5.483141574800044e-07, + "loss": 0.6541, + "step": 38086 + }, + { + "epoch": 0.9, + "grad_norm": 2.2984517068021892, + "learning_rate": 5.480649888838008e-07, + "loss": 0.9231, + "step": 38087 + }, + { + "epoch": 0.9, + "grad_norm": 1.5462382982450729, + "learning_rate": 5.478158753197527e-07, + "loss": 0.8958, + "step": 38088 + }, + { + "epoch": 0.9, + "grad_norm": 1.499840319058618, + "learning_rate": 5.475668167893156e-07, + "loss": 0.7816, + "step": 38089 + }, + { + "epoch": 0.9, + "grad_norm": 1.7725502719710602, + "learning_rate": 5.47317813293935e-07, + "loss": 0.9577, + "step": 38090 + }, + { + "epoch": 0.9, + "grad_norm": 0.7466650828962995, + "learning_rate": 5.470688648350642e-07, + "loss": 0.7543, + "step": 38091 + }, + { + "epoch": 0.9, + "grad_norm": 1.8195689840297182, + "learning_rate": 5.468199714141509e-07, + "loss": 0.9371, + "step": 38092 + }, + { + "epoch": 0.9, + "grad_norm": 1.6286638498189756, + "learning_rate": 5.465711330326428e-07, + "loss": 0.8446, + "step": 38093 + }, + { + "epoch": 0.9, + "grad_norm": 1.7139877736939833, + "learning_rate": 5.463223496919945e-07, + "loss": 0.9085, + "step": 38094 + }, + { + "epoch": 0.9, + "grad_norm": 1.6369257438599538, + "learning_rate": 5.460736213936479e-07, + "loss": 0.8656, + "step": 38095 + }, + { + "epoch": 0.9, + "grad_norm": 0.7356999046242201, + "learning_rate": 5.458249481390532e-07, + "loss": 0.6901, + "step": 38096 + }, + { + "epoch": 0.9, + "grad_norm": 1.5333202579653555, + "learning_rate": 5.45576329929658e-07, + "loss": 0.8497, + "step": 38097 + }, + { + "epoch": 0.9, + "grad_norm": 0.7476697697721596, + "learning_rate": 5.453277667669143e-07, + "loss": 0.6959, + "step": 38098 + }, + { + "epoch": 0.9, + "grad_norm": 1.6986460029107566, + "learning_rate": 5.450792586522624e-07, + "loss": 0.7372, + "step": 38099 + }, + { + "epoch": 0.9, + "grad_norm": 1.5959630933561464, + "learning_rate": 5.448308055871532e-07, + "loss": 0.765, + "step": 38100 + }, + { + "epoch": 0.9, + "grad_norm": 1.6353473650327344, + "learning_rate": 5.445824075730333e-07, + "loss": 0.999, + "step": 38101 + }, + { + "epoch": 0.9, + "grad_norm": 0.7576073128421706, + "learning_rate": 5.443340646113471e-07, + "loss": 0.7183, + "step": 38102 + }, + { + "epoch": 0.9, + "grad_norm": 1.6471471476533706, + "learning_rate": 5.440857767035434e-07, + "loss": 0.8114, + "step": 38103 + }, + { + "epoch": 0.9, + "grad_norm": 1.4515791075089943, + "learning_rate": 5.438375438510635e-07, + "loss": 0.8094, + "step": 38104 + }, + { + "epoch": 0.9, + "grad_norm": 1.6601263884355126, + "learning_rate": 5.43589366055357e-07, + "loss": 0.7552, + "step": 38105 + }, + { + "epoch": 0.9, + "grad_norm": 1.7105229129373873, + "learning_rate": 5.433412433178664e-07, + "loss": 0.9113, + "step": 38106 + }, + { + "epoch": 0.9, + "grad_norm": 1.4678632661486584, + "learning_rate": 5.43093175640037e-07, + "loss": 0.825, + "step": 38107 + }, + { + "epoch": 0.9, + "grad_norm": 1.7274021838215712, + "learning_rate": 5.428451630233144e-07, + "loss": 0.8271, + "step": 38108 + }, + { + "epoch": 0.9, + "grad_norm": 2.8356571041549126, + "learning_rate": 5.425972054691397e-07, + "loss": 0.8919, + "step": 38109 + }, + { + "epoch": 0.9, + "grad_norm": 1.7465026014973395, + "learning_rate": 5.423493029789573e-07, + "loss": 0.8968, + "step": 38110 + }, + { + "epoch": 0.9, + "grad_norm": 1.78010854955357, + "learning_rate": 5.421014555542137e-07, + "loss": 0.8515, + "step": 38111 + }, + { + "epoch": 0.9, + "grad_norm": 0.7440335835119526, + "learning_rate": 5.418536631963501e-07, + "loss": 0.6449, + "step": 38112 + }, + { + "epoch": 0.9, + "grad_norm": 2.5331048251989894, + "learning_rate": 5.416059259068063e-07, + "loss": 0.871, + "step": 38113 + }, + { + "epoch": 0.9, + "grad_norm": 1.6656167357367895, + "learning_rate": 5.41358243687028e-07, + "loss": 0.869, + "step": 38114 + }, + { + "epoch": 0.9, + "grad_norm": 1.4831770320805975, + "learning_rate": 5.411106165384583e-07, + "loss": 0.8207, + "step": 38115 + }, + { + "epoch": 0.9, + "grad_norm": 1.6554719613876943, + "learning_rate": 5.408630444625373e-07, + "loss": 0.828, + "step": 38116 + }, + { + "epoch": 0.9, + "grad_norm": 1.5698392975959545, + "learning_rate": 5.406155274607039e-07, + "loss": 0.8742, + "step": 38117 + }, + { + "epoch": 0.9, + "grad_norm": 1.7026793912436249, + "learning_rate": 5.403680655344023e-07, + "loss": 0.7922, + "step": 38118 + }, + { + "epoch": 0.9, + "grad_norm": 1.5767812621454862, + "learning_rate": 5.40120658685075e-07, + "loss": 0.9699, + "step": 38119 + }, + { + "epoch": 0.9, + "grad_norm": 1.7691051908413056, + "learning_rate": 5.398733069141593e-07, + "loss": 0.8216, + "step": 38120 + }, + { + "epoch": 0.9, + "grad_norm": 0.7554071734253724, + "learning_rate": 5.396260102230944e-07, + "loss": 0.7191, + "step": 38121 + }, + { + "epoch": 0.9, + "grad_norm": 0.746642010175921, + "learning_rate": 5.393787686133234e-07, + "loss": 0.6853, + "step": 38122 + }, + { + "epoch": 0.9, + "grad_norm": 1.7033778514067974, + "learning_rate": 5.391315820862841e-07, + "loss": 0.9449, + "step": 38123 + }, + { + "epoch": 0.9, + "grad_norm": 1.502651830274816, + "learning_rate": 5.388844506434166e-07, + "loss": 0.7559, + "step": 38124 + }, + { + "epoch": 0.9, + "grad_norm": 1.6698039818615344, + "learning_rate": 5.386373742861572e-07, + "loss": 0.8593, + "step": 38125 + }, + { + "epoch": 0.9, + "grad_norm": 1.5500278487440309, + "learning_rate": 5.383903530159484e-07, + "loss": 0.6648, + "step": 38126 + }, + { + "epoch": 0.9, + "grad_norm": 1.5714203189666398, + "learning_rate": 5.381433868342256e-07, + "loss": 0.7813, + "step": 38127 + }, + { + "epoch": 0.9, + "grad_norm": 0.7496874104376803, + "learning_rate": 5.378964757424287e-07, + "loss": 0.684, + "step": 38128 + }, + { + "epoch": 0.9, + "grad_norm": 1.6431412150363043, + "learning_rate": 5.376496197419934e-07, + "loss": 0.9852, + "step": 38129 + }, + { + "epoch": 0.9, + "grad_norm": 1.6131591367847842, + "learning_rate": 5.374028188343572e-07, + "loss": 0.8906, + "step": 38130 + }, + { + "epoch": 0.9, + "grad_norm": 1.7008608432849253, + "learning_rate": 5.371560730209579e-07, + "loss": 0.8042, + "step": 38131 + }, + { + "epoch": 0.9, + "grad_norm": 1.671279467241929, + "learning_rate": 5.369093823032323e-07, + "loss": 0.7534, + "step": 38132 + }, + { + "epoch": 0.9, + "grad_norm": 1.6027383811672773, + "learning_rate": 5.366627466826169e-07, + "loss": 0.7193, + "step": 38133 + }, + { + "epoch": 0.9, + "grad_norm": 1.608605536880982, + "learning_rate": 5.364161661605449e-07, + "loss": 0.9021, + "step": 38134 + }, + { + "epoch": 0.9, + "grad_norm": 1.7085429479797951, + "learning_rate": 5.361696407384543e-07, + "loss": 0.9491, + "step": 38135 + }, + { + "epoch": 0.9, + "grad_norm": 1.7577786626307437, + "learning_rate": 5.359231704177825e-07, + "loss": 0.7919, + "step": 38136 + }, + { + "epoch": 0.9, + "grad_norm": 2.258683312339643, + "learning_rate": 5.356767551999608e-07, + "loss": 0.7571, + "step": 38137 + }, + { + "epoch": 0.9, + "grad_norm": 1.6328200980059877, + "learning_rate": 5.354303950864248e-07, + "loss": 0.878, + "step": 38138 + }, + { + "epoch": 0.9, + "grad_norm": 1.4500603908292395, + "learning_rate": 5.351840900786098e-07, + "loss": 0.7528, + "step": 38139 + }, + { + "epoch": 0.9, + "grad_norm": 1.9898833664394762, + "learning_rate": 5.349378401779504e-07, + "loss": 0.7487, + "step": 38140 + }, + { + "epoch": 0.9, + "grad_norm": 1.5958106605034486, + "learning_rate": 5.346916453858797e-07, + "loss": 0.8565, + "step": 38141 + }, + { + "epoch": 0.9, + "grad_norm": 1.5721450423639336, + "learning_rate": 5.3444550570383e-07, + "loss": 0.7084, + "step": 38142 + }, + { + "epoch": 0.9, + "grad_norm": 1.5476305384879545, + "learning_rate": 5.341994211332358e-07, + "loss": 0.9776, + "step": 38143 + }, + { + "epoch": 0.9, + "grad_norm": 0.7296817936801149, + "learning_rate": 5.339533916755291e-07, + "loss": 0.6852, + "step": 38144 + }, + { + "epoch": 0.9, + "grad_norm": 1.596821188507741, + "learning_rate": 5.337074173321433e-07, + "loss": 0.8247, + "step": 38145 + }, + { + "epoch": 0.9, + "grad_norm": 0.8053259109924449, + "learning_rate": 5.334614981045083e-07, + "loss": 0.6821, + "step": 38146 + }, + { + "epoch": 0.9, + "grad_norm": 1.4669835941697924, + "learning_rate": 5.332156339940598e-07, + "loss": 0.7838, + "step": 38147 + }, + { + "epoch": 0.9, + "grad_norm": 1.610918530384194, + "learning_rate": 5.329698250022241e-07, + "loss": 0.8718, + "step": 38148 + }, + { + "epoch": 0.9, + "grad_norm": 1.6581258136566728, + "learning_rate": 5.327240711304383e-07, + "loss": 0.809, + "step": 38149 + }, + { + "epoch": 0.9, + "grad_norm": 1.5358402918865108, + "learning_rate": 5.324783723801296e-07, + "loss": 0.9095, + "step": 38150 + }, + { + "epoch": 0.9, + "grad_norm": 1.3831144497566417, + "learning_rate": 5.322327287527274e-07, + "loss": 0.9055, + "step": 38151 + }, + { + "epoch": 0.9, + "grad_norm": 1.5271353004669659, + "learning_rate": 5.319871402496645e-07, + "loss": 0.8358, + "step": 38152 + }, + { + "epoch": 0.9, + "grad_norm": 2.142906606608793, + "learning_rate": 5.317416068723702e-07, + "loss": 0.855, + "step": 38153 + }, + { + "epoch": 0.9, + "grad_norm": 1.4362610213444507, + "learning_rate": 5.314961286222752e-07, + "loss": 0.8053, + "step": 38154 + }, + { + "epoch": 0.9, + "grad_norm": 1.855076643740522, + "learning_rate": 5.312507055008054e-07, + "loss": 0.8304, + "step": 38155 + }, + { + "epoch": 0.9, + "grad_norm": 1.7261063645254802, + "learning_rate": 5.310053375093915e-07, + "loss": 0.7935, + "step": 38156 + }, + { + "epoch": 0.9, + "grad_norm": 1.6421857224039322, + "learning_rate": 5.307600246494638e-07, + "loss": 0.8734, + "step": 38157 + }, + { + "epoch": 0.9, + "grad_norm": 2.4245067702730854, + "learning_rate": 5.305147669224497e-07, + "loss": 1.0079, + "step": 38158 + }, + { + "epoch": 0.9, + "grad_norm": 1.5421493033978508, + "learning_rate": 5.302695643297751e-07, + "loss": 0.8705, + "step": 38159 + }, + { + "epoch": 0.9, + "grad_norm": 1.8383777038980633, + "learning_rate": 5.300244168728686e-07, + "loss": 0.7946, + "step": 38160 + }, + { + "epoch": 0.9, + "grad_norm": 1.6096375631553663, + "learning_rate": 5.297793245531602e-07, + "loss": 0.865, + "step": 38161 + }, + { + "epoch": 0.9, + "grad_norm": 1.577330149857462, + "learning_rate": 5.295342873720743e-07, + "loss": 0.7905, + "step": 38162 + }, + { + "epoch": 0.9, + "grad_norm": 1.7742332044913507, + "learning_rate": 5.292893053310366e-07, + "loss": 0.7616, + "step": 38163 + }, + { + "epoch": 0.9, + "grad_norm": 1.8454089172293464, + "learning_rate": 5.29044378431477e-07, + "loss": 0.8478, + "step": 38164 + }, + { + "epoch": 0.9, + "grad_norm": 1.7644652772697782, + "learning_rate": 5.287995066748175e-07, + "loss": 0.7796, + "step": 38165 + }, + { + "epoch": 0.9, + "grad_norm": 1.6554671063117958, + "learning_rate": 5.285546900624872e-07, + "loss": 0.7215, + "step": 38166 + }, + { + "epoch": 0.9, + "grad_norm": 1.5188429933653116, + "learning_rate": 5.283099285959081e-07, + "loss": 0.9453, + "step": 38167 + }, + { + "epoch": 0.9, + "grad_norm": 1.556747975321337, + "learning_rate": 5.280652222765103e-07, + "loss": 0.7796, + "step": 38168 + }, + { + "epoch": 0.9, + "grad_norm": 1.96197462940789, + "learning_rate": 5.278205711057127e-07, + "loss": 0.846, + "step": 38169 + }, + { + "epoch": 0.9, + "grad_norm": 1.485800320643869, + "learning_rate": 5.275759750849441e-07, + "loss": 0.7719, + "step": 38170 + }, + { + "epoch": 0.9, + "grad_norm": 1.9094607356258617, + "learning_rate": 5.273314342156266e-07, + "loss": 0.8756, + "step": 38171 + }, + { + "epoch": 0.9, + "grad_norm": 2.2885739482082275, + "learning_rate": 5.270869484991858e-07, + "loss": 0.8777, + "step": 38172 + }, + { + "epoch": 0.9, + "grad_norm": 1.8995754059264895, + "learning_rate": 5.268425179370418e-07, + "loss": 0.842, + "step": 38173 + }, + { + "epoch": 0.9, + "grad_norm": 1.485539306049715, + "learning_rate": 5.26598142530621e-07, + "loss": 0.8169, + "step": 38174 + }, + { + "epoch": 0.9, + "grad_norm": 0.7130076378083098, + "learning_rate": 5.263538222813457e-07, + "loss": 0.7647, + "step": 38175 + }, + { + "epoch": 0.9, + "grad_norm": 1.7112388027271284, + "learning_rate": 5.261095571906361e-07, + "loss": 0.7956, + "step": 38176 + }, + { + "epoch": 0.9, + "grad_norm": 0.7835967670210078, + "learning_rate": 5.258653472599162e-07, + "loss": 0.6611, + "step": 38177 + }, + { + "epoch": 0.9, + "grad_norm": 1.5777465766898946, + "learning_rate": 5.256211924906074e-07, + "loss": 0.9182, + "step": 38178 + }, + { + "epoch": 0.9, + "grad_norm": 1.562568282483125, + "learning_rate": 5.253770928841351e-07, + "loss": 0.7047, + "step": 38179 + }, + { + "epoch": 0.9, + "grad_norm": 1.5383710527880976, + "learning_rate": 5.251330484419137e-07, + "loss": 0.9692, + "step": 38180 + }, + { + "epoch": 0.9, + "grad_norm": 1.6977057472767925, + "learning_rate": 5.248890591653666e-07, + "loss": 0.8259, + "step": 38181 + }, + { + "epoch": 0.9, + "grad_norm": 1.5267084118439422, + "learning_rate": 5.246451250559182e-07, + "loss": 0.7819, + "step": 38182 + }, + { + "epoch": 0.9, + "grad_norm": 1.9479933314762972, + "learning_rate": 5.24401246114985e-07, + "loss": 1.0241, + "step": 38183 + }, + { + "epoch": 0.9, + "grad_norm": 1.685502217717592, + "learning_rate": 5.24157422343986e-07, + "loss": 0.8623, + "step": 38184 + }, + { + "epoch": 0.9, + "grad_norm": 1.8318445915960744, + "learning_rate": 5.239136537443423e-07, + "loss": 0.7978, + "step": 38185 + }, + { + "epoch": 0.9, + "grad_norm": 1.5511492390283583, + "learning_rate": 5.23669940317475e-07, + "loss": 0.8321, + "step": 38186 + }, + { + "epoch": 0.9, + "grad_norm": 1.5448464616793143, + "learning_rate": 5.234262820648006e-07, + "loss": 0.9315, + "step": 38187 + }, + { + "epoch": 0.9, + "grad_norm": 1.3838011973130973, + "learning_rate": 5.231826789877392e-07, + "loss": 0.8093, + "step": 38188 + }, + { + "epoch": 0.9, + "grad_norm": 1.419138224976671, + "learning_rate": 5.229391310877085e-07, + "loss": 0.7379, + "step": 38189 + }, + { + "epoch": 0.9, + "grad_norm": 1.4385146013940477, + "learning_rate": 5.226956383661263e-07, + "loss": 0.858, + "step": 38190 + }, + { + "epoch": 0.9, + "grad_norm": 1.7519969642657756, + "learning_rate": 5.224522008244092e-07, + "loss": 0.6241, + "step": 38191 + }, + { + "epoch": 0.9, + "grad_norm": 1.5128010871332436, + "learning_rate": 5.222088184639785e-07, + "loss": 0.7175, + "step": 38192 + }, + { + "epoch": 0.9, + "grad_norm": 1.5052165285543784, + "learning_rate": 5.219654912862482e-07, + "loss": 0.8574, + "step": 38193 + }, + { + "epoch": 0.9, + "grad_norm": 1.773930328948956, + "learning_rate": 5.217222192926342e-07, + "loss": 0.77, + "step": 38194 + }, + { + "epoch": 0.9, + "grad_norm": 2.6655027523913684, + "learning_rate": 5.214790024845539e-07, + "loss": 0.8239, + "step": 38195 + }, + { + "epoch": 0.9, + "grad_norm": 1.5805734632069075, + "learning_rate": 5.212358408634266e-07, + "loss": 0.7953, + "step": 38196 + }, + { + "epoch": 0.9, + "grad_norm": 1.7047891400262756, + "learning_rate": 5.20992734430662e-07, + "loss": 0.8236, + "step": 38197 + }, + { + "epoch": 0.9, + "grad_norm": 1.7214117859884586, + "learning_rate": 5.207496831876791e-07, + "loss": 0.8448, + "step": 38198 + }, + { + "epoch": 0.9, + "grad_norm": 1.5988034112975948, + "learning_rate": 5.205066871358932e-07, + "loss": 0.678, + "step": 38199 + }, + { + "epoch": 0.9, + "grad_norm": 1.9866796338435369, + "learning_rate": 5.20263746276719e-07, + "loss": 0.8391, + "step": 38200 + }, + { + "epoch": 0.9, + "grad_norm": 1.5435485226674464, + "learning_rate": 5.200208606115709e-07, + "loss": 0.8665, + "step": 38201 + }, + { + "epoch": 0.9, + "grad_norm": 1.8347879884236407, + "learning_rate": 5.197780301418609e-07, + "loss": 0.888, + "step": 38202 + }, + { + "epoch": 0.9, + "grad_norm": 2.4621645297081254, + "learning_rate": 5.195352548690069e-07, + "loss": 0.8201, + "step": 38203 + }, + { + "epoch": 0.9, + "grad_norm": 1.7128851829921372, + "learning_rate": 5.192925347944178e-07, + "loss": 0.8352, + "step": 38204 + }, + { + "epoch": 0.9, + "grad_norm": 1.879770116400542, + "learning_rate": 5.190498699195112e-07, + "loss": 0.8721, + "step": 38205 + }, + { + "epoch": 0.9, + "grad_norm": 2.156972636247597, + "learning_rate": 5.188072602456962e-07, + "loss": 0.6956, + "step": 38206 + }, + { + "epoch": 0.9, + "grad_norm": 1.8402533358274704, + "learning_rate": 5.185647057743881e-07, + "loss": 0.9774, + "step": 38207 + }, + { + "epoch": 0.9, + "grad_norm": 1.7743841743077748, + "learning_rate": 5.18322206506997e-07, + "loss": 0.7133, + "step": 38208 + }, + { + "epoch": 0.9, + "grad_norm": 1.5914396788451581, + "learning_rate": 5.180797624449363e-07, + "loss": 0.9119, + "step": 38209 + }, + { + "epoch": 0.9, + "grad_norm": 1.5132604067814626, + "learning_rate": 5.17837373589618e-07, + "loss": 0.7884, + "step": 38210 + }, + { + "epoch": 0.9, + "grad_norm": 1.6721088881247228, + "learning_rate": 5.175950399424512e-07, + "loss": 0.8895, + "step": 38211 + }, + { + "epoch": 0.9, + "grad_norm": 1.6956136843572325, + "learning_rate": 5.173527615048491e-07, + "loss": 0.7968, + "step": 38212 + }, + { + "epoch": 0.9, + "grad_norm": 0.7840771431401737, + "learning_rate": 5.171105382782215e-07, + "loss": 0.7315, + "step": 38213 + }, + { + "epoch": 0.9, + "grad_norm": 1.6077908875298559, + "learning_rate": 5.168683702639788e-07, + "loss": 0.7536, + "step": 38214 + }, + { + "epoch": 0.9, + "grad_norm": 2.1019488858792723, + "learning_rate": 5.166262574635295e-07, + "loss": 0.8379, + "step": 38215 + }, + { + "epoch": 0.9, + "grad_norm": 1.5028157003709144, + "learning_rate": 5.163841998782837e-07, + "loss": 0.8741, + "step": 38216 + }, + { + "epoch": 0.9, + "grad_norm": 1.6673942730046052, + "learning_rate": 5.161421975096537e-07, + "loss": 0.8129, + "step": 38217 + }, + { + "epoch": 0.9, + "grad_norm": 1.8033212519355788, + "learning_rate": 5.159002503590472e-07, + "loss": 0.82, + "step": 38218 + }, + { + "epoch": 0.9, + "grad_norm": 1.6715451522623808, + "learning_rate": 5.156583584278696e-07, + "loss": 0.8941, + "step": 38219 + }, + { + "epoch": 0.9, + "grad_norm": 1.5120107038238038, + "learning_rate": 5.154165217175311e-07, + "loss": 0.8042, + "step": 38220 + }, + { + "epoch": 0.9, + "grad_norm": 1.638424252930701, + "learning_rate": 5.151747402294427e-07, + "loss": 0.7043, + "step": 38221 + }, + { + "epoch": 0.9, + "grad_norm": 1.6364314151693569, + "learning_rate": 5.1493301396501e-07, + "loss": 0.7428, + "step": 38222 + }, + { + "epoch": 0.9, + "grad_norm": 1.6189749161111877, + "learning_rate": 5.146913429256384e-07, + "loss": 0.8624, + "step": 38223 + }, + { + "epoch": 0.9, + "grad_norm": 1.9382220614353758, + "learning_rate": 5.14449727112738e-07, + "loss": 0.8884, + "step": 38224 + }, + { + "epoch": 0.9, + "grad_norm": 1.966663766339503, + "learning_rate": 5.142081665277132e-07, + "loss": 0.6683, + "step": 38225 + }, + { + "epoch": 0.9, + "grad_norm": 1.6079536371871088, + "learning_rate": 5.13966661171974e-07, + "loss": 0.8278, + "step": 38226 + }, + { + "epoch": 0.9, + "grad_norm": 1.407208599650816, + "learning_rate": 5.137252110469215e-07, + "loss": 0.8897, + "step": 38227 + }, + { + "epoch": 0.9, + "grad_norm": 1.6193831287564395, + "learning_rate": 5.134838161539657e-07, + "loss": 0.8666, + "step": 38228 + }, + { + "epoch": 0.9, + "grad_norm": 1.5474519024303455, + "learning_rate": 5.132424764945088e-07, + "loss": 0.738, + "step": 38229 + }, + { + "epoch": 0.9, + "grad_norm": 1.7173823014299194, + "learning_rate": 5.130011920699596e-07, + "loss": 0.7139, + "step": 38230 + }, + { + "epoch": 0.9, + "grad_norm": 2.46686771013908, + "learning_rate": 5.127599628817215e-07, + "loss": 0.8644, + "step": 38231 + }, + { + "epoch": 0.9, + "grad_norm": 1.5475052752682579, + "learning_rate": 5.125187889311966e-07, + "loss": 0.7698, + "step": 38232 + }, + { + "epoch": 0.9, + "grad_norm": 1.6371388369609463, + "learning_rate": 5.122776702197907e-07, + "loss": 0.8976, + "step": 38233 + }, + { + "epoch": 0.9, + "grad_norm": 1.72500032753802, + "learning_rate": 5.120366067489091e-07, + "loss": 0.7162, + "step": 38234 + }, + { + "epoch": 0.9, + "grad_norm": 1.5651839212506744, + "learning_rate": 5.117955985199552e-07, + "loss": 0.887, + "step": 38235 + }, + { + "epoch": 0.9, + "grad_norm": 1.6267570067607917, + "learning_rate": 5.115546455343289e-07, + "loss": 0.7878, + "step": 38236 + }, + { + "epoch": 0.9, + "grad_norm": 1.6491282887889736, + "learning_rate": 5.11313747793436e-07, + "loss": 0.7933, + "step": 38237 + }, + { + "epoch": 0.9, + "grad_norm": 1.7478870357727665, + "learning_rate": 5.110729052986796e-07, + "loss": 0.8906, + "step": 38238 + }, + { + "epoch": 0.9, + "grad_norm": 1.5993697144798347, + "learning_rate": 5.108321180514608e-07, + "loss": 0.7623, + "step": 38239 + }, + { + "epoch": 0.9, + "grad_norm": 1.5311620853768533, + "learning_rate": 5.105913860531808e-07, + "loss": 0.8264, + "step": 38240 + }, + { + "epoch": 0.9, + "grad_norm": 1.6901576998859165, + "learning_rate": 5.103507093052418e-07, + "loss": 0.7772, + "step": 38241 + }, + { + "epoch": 0.9, + "grad_norm": 1.7497832800578312, + "learning_rate": 5.101100878090471e-07, + "loss": 0.77, + "step": 38242 + }, + { + "epoch": 0.9, + "grad_norm": 1.6959358676087464, + "learning_rate": 5.098695215659954e-07, + "loss": 0.7759, + "step": 38243 + }, + { + "epoch": 0.9, + "grad_norm": 1.4975447372870418, + "learning_rate": 5.096290105774859e-07, + "loss": 0.8617, + "step": 38244 + }, + { + "epoch": 0.9, + "grad_norm": 1.7068913321485102, + "learning_rate": 5.093885548449229e-07, + "loss": 0.921, + "step": 38245 + }, + { + "epoch": 0.9, + "grad_norm": 1.4688888674027412, + "learning_rate": 5.091481543697042e-07, + "loss": 0.8889, + "step": 38246 + }, + { + "epoch": 0.9, + "grad_norm": 1.6344831928343297, + "learning_rate": 5.089078091532296e-07, + "loss": 0.9264, + "step": 38247 + }, + { + "epoch": 0.9, + "grad_norm": 1.6627614379482218, + "learning_rate": 5.086675191968971e-07, + "loss": 0.8793, + "step": 38248 + }, + { + "epoch": 0.9, + "grad_norm": 1.7571538926826271, + "learning_rate": 5.084272845021088e-07, + "loss": 0.8064, + "step": 38249 + }, + { + "epoch": 0.9, + "grad_norm": 1.8159481511437456, + "learning_rate": 5.081871050702614e-07, + "loss": 0.7989, + "step": 38250 + }, + { + "epoch": 0.9, + "grad_norm": 1.7437791820436903, + "learning_rate": 5.079469809027537e-07, + "loss": 0.8357, + "step": 38251 + }, + { + "epoch": 0.9, + "grad_norm": 1.6693490805925286, + "learning_rate": 5.077069120009848e-07, + "loss": 0.8404, + "step": 38252 + }, + { + "epoch": 0.9, + "grad_norm": 1.6814991960086183, + "learning_rate": 5.0746689836635e-07, + "loss": 0.854, + "step": 38253 + }, + { + "epoch": 0.9, + "grad_norm": 2.107659219248448, + "learning_rate": 5.072269400002483e-07, + "loss": 0.7775, + "step": 38254 + }, + { + "epoch": 0.9, + "grad_norm": 2.0335363181811488, + "learning_rate": 5.069870369040775e-07, + "loss": 0.9124, + "step": 38255 + }, + { + "epoch": 0.9, + "grad_norm": 1.6107946136506928, + "learning_rate": 5.067471890792341e-07, + "loss": 0.7516, + "step": 38256 + }, + { + "epoch": 0.9, + "grad_norm": 1.9658032548824547, + "learning_rate": 5.065073965271128e-07, + "loss": 0.8592, + "step": 38257 + }, + { + "epoch": 0.9, + "grad_norm": 1.5174474716710962, + "learning_rate": 5.062676592491101e-07, + "loss": 0.8651, + "step": 38258 + }, + { + "epoch": 0.9, + "grad_norm": 1.6375913999676164, + "learning_rate": 5.060279772466248e-07, + "loss": 0.8894, + "step": 38259 + }, + { + "epoch": 0.9, + "grad_norm": 1.5086103413339074, + "learning_rate": 5.057883505210504e-07, + "loss": 0.8298, + "step": 38260 + }, + { + "epoch": 0.9, + "grad_norm": 1.642182042244986, + "learning_rate": 5.055487790737812e-07, + "loss": 0.7794, + "step": 38261 + }, + { + "epoch": 0.9, + "grad_norm": 1.6862386201623774, + "learning_rate": 5.053092629062117e-07, + "loss": 0.9142, + "step": 38262 + }, + { + "epoch": 0.9, + "grad_norm": 1.6726068840845894, + "learning_rate": 5.050698020197398e-07, + "loss": 0.9365, + "step": 38263 + }, + { + "epoch": 0.9, + "grad_norm": 1.5971694900434894, + "learning_rate": 5.048303964157575e-07, + "loss": 0.859, + "step": 38264 + }, + { + "epoch": 0.9, + "grad_norm": 1.7140489622456696, + "learning_rate": 5.045910460956572e-07, + "loss": 0.7522, + "step": 38265 + }, + { + "epoch": 0.9, + "grad_norm": 1.542424905314493, + "learning_rate": 5.043517510608354e-07, + "loss": 0.6932, + "step": 38266 + }, + { + "epoch": 0.9, + "grad_norm": 1.5611383728130022, + "learning_rate": 5.041125113126821e-07, + "loss": 0.705, + "step": 38267 + }, + { + "epoch": 0.9, + "grad_norm": 0.8206747373380899, + "learning_rate": 5.038733268525941e-07, + "loss": 0.6865, + "step": 38268 + }, + { + "epoch": 0.9, + "grad_norm": 1.7453437087896815, + "learning_rate": 5.036341976819615e-07, + "loss": 0.9797, + "step": 38269 + }, + { + "epoch": 0.9, + "grad_norm": 1.5010574884376071, + "learning_rate": 5.033951238021773e-07, + "loss": 0.836, + "step": 38270 + }, + { + "epoch": 0.9, + "grad_norm": 1.6366723266765872, + "learning_rate": 5.031561052146316e-07, + "loss": 0.7481, + "step": 38271 + }, + { + "epoch": 0.9, + "grad_norm": 1.5099408663455431, + "learning_rate": 5.029171419207202e-07, + "loss": 0.8564, + "step": 38272 + }, + { + "epoch": 0.9, + "grad_norm": 1.5421717372658086, + "learning_rate": 5.026782339218306e-07, + "loss": 0.9723, + "step": 38273 + }, + { + "epoch": 0.9, + "grad_norm": 1.6072910904439877, + "learning_rate": 5.024393812193551e-07, + "loss": 0.8743, + "step": 38274 + }, + { + "epoch": 0.9, + "grad_norm": 1.5464476983690325, + "learning_rate": 5.022005838146837e-07, + "loss": 0.7218, + "step": 38275 + }, + { + "epoch": 0.9, + "grad_norm": 1.7492866848489776, + "learning_rate": 5.019618417092075e-07, + "loss": 0.9171, + "step": 38276 + }, + { + "epoch": 0.9, + "grad_norm": 1.6085520220359752, + "learning_rate": 5.017231549043189e-07, + "loss": 0.855, + "step": 38277 + }, + { + "epoch": 0.9, + "grad_norm": 0.8036116074094575, + "learning_rate": 5.014845234014032e-07, + "loss": 0.7183, + "step": 38278 + }, + { + "epoch": 0.9, + "grad_norm": 1.6959116271122625, + "learning_rate": 5.012459472018516e-07, + "loss": 0.8705, + "step": 38279 + }, + { + "epoch": 0.9, + "grad_norm": 1.5234059329766618, + "learning_rate": 5.010074263070541e-07, + "loss": 0.7825, + "step": 38280 + }, + { + "epoch": 0.9, + "grad_norm": 4.080435436282269, + "learning_rate": 5.007689607183997e-07, + "loss": 0.9326, + "step": 38281 + }, + { + "epoch": 0.9, + "grad_norm": 1.6757742861414646, + "learning_rate": 5.005305504372738e-07, + "loss": 0.7842, + "step": 38282 + }, + { + "epoch": 0.9, + "grad_norm": 0.6996622699328109, + "learning_rate": 5.002921954650664e-07, + "loss": 0.7085, + "step": 38283 + }, + { + "epoch": 0.9, + "grad_norm": 0.7312460532727306, + "learning_rate": 5.000538958031664e-07, + "loss": 0.7235, + "step": 38284 + }, + { + "epoch": 0.9, + "grad_norm": 2.6005296959142203, + "learning_rate": 4.998156514529595e-07, + "loss": 0.7107, + "step": 38285 + }, + { + "epoch": 0.9, + "grad_norm": 1.6964954553211153, + "learning_rate": 4.995774624158356e-07, + "loss": 0.7514, + "step": 38286 + }, + { + "epoch": 0.9, + "grad_norm": 1.67745368546005, + "learning_rate": 4.993393286931781e-07, + "loss": 0.8493, + "step": 38287 + }, + { + "epoch": 0.9, + "grad_norm": 2.0014407445411098, + "learning_rate": 4.991012502863745e-07, + "loss": 0.7849, + "step": 38288 + }, + { + "epoch": 0.9, + "grad_norm": 1.643027531020821, + "learning_rate": 4.988632271968108e-07, + "loss": 0.7805, + "step": 38289 + }, + { + "epoch": 0.9, + "grad_norm": 1.597672693146378, + "learning_rate": 4.986252594258756e-07, + "loss": 0.7362, + "step": 38290 + }, + { + "epoch": 0.9, + "grad_norm": 1.6167687438859442, + "learning_rate": 4.983873469749511e-07, + "loss": 0.7759, + "step": 38291 + }, + { + "epoch": 0.9, + "grad_norm": 1.7184487734183402, + "learning_rate": 4.981494898454232e-07, + "loss": 0.7791, + "step": 38292 + }, + { + "epoch": 0.9, + "grad_norm": 1.726154597459881, + "learning_rate": 4.97911688038677e-07, + "loss": 0.9019, + "step": 38293 + }, + { + "epoch": 0.9, + "grad_norm": 1.7594656887956337, + "learning_rate": 4.976739415560982e-07, + "loss": 0.7675, + "step": 38294 + }, + { + "epoch": 0.9, + "grad_norm": 0.7507425457574172, + "learning_rate": 4.974362503990704e-07, + "loss": 0.6706, + "step": 38295 + }, + { + "epoch": 0.9, + "grad_norm": 1.8361978104594174, + "learning_rate": 4.971986145689756e-07, + "loss": 0.8846, + "step": 38296 + }, + { + "epoch": 0.9, + "grad_norm": 2.169531495664704, + "learning_rate": 4.969610340671993e-07, + "loss": 0.8217, + "step": 38297 + }, + { + "epoch": 0.9, + "grad_norm": 1.4985132539757584, + "learning_rate": 4.967235088951261e-07, + "loss": 0.9071, + "step": 38298 + }, + { + "epoch": 0.9, + "grad_norm": 1.7388283066294858, + "learning_rate": 4.96486039054136e-07, + "loss": 0.8633, + "step": 38299 + }, + { + "epoch": 0.9, + "grad_norm": 1.4914177674533018, + "learning_rate": 4.962486245456133e-07, + "loss": 0.8246, + "step": 38300 + }, + { + "epoch": 0.9, + "grad_norm": 2.321547613325857, + "learning_rate": 4.960112653709392e-07, + "loss": 0.6781, + "step": 38301 + }, + { + "epoch": 0.9, + "grad_norm": 0.7473789338842043, + "learning_rate": 4.957739615314972e-07, + "loss": 0.6999, + "step": 38302 + }, + { + "epoch": 0.9, + "grad_norm": 1.7460401092961053, + "learning_rate": 4.955367130286692e-07, + "loss": 0.6708, + "step": 38303 + }, + { + "epoch": 0.9, + "grad_norm": 0.777427321983606, + "learning_rate": 4.952995198638333e-07, + "loss": 0.7092, + "step": 38304 + }, + { + "epoch": 0.9, + "grad_norm": 1.5515872051752604, + "learning_rate": 4.950623820383749e-07, + "loss": 0.8077, + "step": 38305 + }, + { + "epoch": 0.9, + "grad_norm": 1.603266064944895, + "learning_rate": 4.948252995536707e-07, + "loss": 0.7732, + "step": 38306 + }, + { + "epoch": 0.9, + "grad_norm": 1.396675436706313, + "learning_rate": 4.94588272411104e-07, + "loss": 0.7753, + "step": 38307 + }, + { + "epoch": 0.9, + "grad_norm": 1.8542872484550985, + "learning_rate": 4.943513006120526e-07, + "loss": 0.6705, + "step": 38308 + }, + { + "epoch": 0.9, + "grad_norm": 1.761109807266483, + "learning_rate": 4.941143841578988e-07, + "loss": 0.805, + "step": 38309 + }, + { + "epoch": 0.9, + "grad_norm": 1.4215116543616069, + "learning_rate": 4.938775230500192e-07, + "loss": 0.6581, + "step": 38310 + }, + { + "epoch": 0.9, + "grad_norm": 1.5302266715592825, + "learning_rate": 4.936407172897961e-07, + "loss": 0.8662, + "step": 38311 + }, + { + "epoch": 0.9, + "grad_norm": 0.801333824193659, + "learning_rate": 4.934039668786061e-07, + "loss": 0.7262, + "step": 38312 + }, + { + "epoch": 0.9, + "grad_norm": 1.6011442100510862, + "learning_rate": 4.931672718178259e-07, + "loss": 0.7911, + "step": 38313 + }, + { + "epoch": 0.9, + "grad_norm": 0.775354975385622, + "learning_rate": 4.929306321088368e-07, + "loss": 0.7184, + "step": 38314 + }, + { + "epoch": 0.9, + "grad_norm": 1.583966112520306, + "learning_rate": 4.926940477530151e-07, + "loss": 0.7121, + "step": 38315 + }, + { + "epoch": 0.9, + "grad_norm": 1.6388420221888276, + "learning_rate": 4.924575187517399e-07, + "loss": 0.7902, + "step": 38316 + }, + { + "epoch": 0.9, + "grad_norm": 1.5470378477991844, + "learning_rate": 4.922210451063858e-07, + "loss": 0.7262, + "step": 38317 + }, + { + "epoch": 0.9, + "grad_norm": 1.6216785947913614, + "learning_rate": 4.919846268183303e-07, + "loss": 0.8784, + "step": 38318 + }, + { + "epoch": 0.9, + "grad_norm": 0.7819748354676898, + "learning_rate": 4.917482638889525e-07, + "loss": 0.6894, + "step": 38319 + }, + { + "epoch": 0.9, + "grad_norm": 0.701717064328486, + "learning_rate": 4.915119563196258e-07, + "loss": 0.6663, + "step": 38320 + }, + { + "epoch": 0.9, + "grad_norm": 1.6258882597767588, + "learning_rate": 4.912757041117266e-07, + "loss": 0.8472, + "step": 38321 + }, + { + "epoch": 0.9, + "grad_norm": 1.710206327873552, + "learning_rate": 4.910395072666297e-07, + "loss": 0.7739, + "step": 38322 + }, + { + "epoch": 0.9, + "grad_norm": 1.8739161702032905, + "learning_rate": 4.908033657857125e-07, + "loss": 0.8302, + "step": 38323 + }, + { + "epoch": 0.9, + "grad_norm": 1.4674313894449404, + "learning_rate": 4.905672796703498e-07, + "loss": 0.838, + "step": 38324 + }, + { + "epoch": 0.9, + "grad_norm": 2.048867500918769, + "learning_rate": 4.903312489219125e-07, + "loss": 0.7125, + "step": 38325 + }, + { + "epoch": 0.9, + "grad_norm": 1.5002049753324, + "learning_rate": 4.900952735417786e-07, + "loss": 0.7465, + "step": 38326 + }, + { + "epoch": 0.9, + "grad_norm": 1.5079124766441814, + "learning_rate": 4.898593535313201e-07, + "loss": 0.7917, + "step": 38327 + }, + { + "epoch": 0.9, + "grad_norm": 1.7869824943553305, + "learning_rate": 4.896234888919127e-07, + "loss": 0.6245, + "step": 38328 + }, + { + "epoch": 0.9, + "grad_norm": 1.6959111020318136, + "learning_rate": 4.893876796249264e-07, + "loss": 0.9033, + "step": 38329 + }, + { + "epoch": 0.9, + "grad_norm": 1.67068168374358, + "learning_rate": 4.891519257317379e-07, + "loss": 0.9589, + "step": 38330 + }, + { + "epoch": 0.9, + "grad_norm": 1.844688035504338, + "learning_rate": 4.889162272137171e-07, + "loss": 0.773, + "step": 38331 + }, + { + "epoch": 0.9, + "grad_norm": 1.4741815605631556, + "learning_rate": 4.886805840722375e-07, + "loss": 0.7374, + "step": 38332 + }, + { + "epoch": 0.9, + "grad_norm": 1.8163214715501579, + "learning_rate": 4.884449963086712e-07, + "loss": 0.88, + "step": 38333 + }, + { + "epoch": 0.9, + "grad_norm": 1.5420130966223273, + "learning_rate": 4.882094639243884e-07, + "loss": 0.834, + "step": 38334 + }, + { + "epoch": 0.9, + "grad_norm": 1.720965653606184, + "learning_rate": 4.879739869207611e-07, + "loss": 0.8947, + "step": 38335 + }, + { + "epoch": 0.9, + "grad_norm": 1.712431385939123, + "learning_rate": 4.877385652991618e-07, + "loss": 0.857, + "step": 38336 + }, + { + "epoch": 0.9, + "grad_norm": 1.5431802507159942, + "learning_rate": 4.875031990609602e-07, + "loss": 0.7667, + "step": 38337 + }, + { + "epoch": 0.9, + "grad_norm": 1.6478117727429449, + "learning_rate": 4.872678882075255e-07, + "loss": 0.9206, + "step": 38338 + }, + { + "epoch": 0.9, + "grad_norm": 0.7618750463052043, + "learning_rate": 4.870326327402297e-07, + "loss": 0.7214, + "step": 38339 + }, + { + "epoch": 0.9, + "grad_norm": 0.800101728690433, + "learning_rate": 4.867974326604419e-07, + "loss": 0.6951, + "step": 38340 + }, + { + "epoch": 0.9, + "grad_norm": 1.5382879895375154, + "learning_rate": 4.865622879695309e-07, + "loss": 0.8223, + "step": 38341 + }, + { + "epoch": 0.9, + "grad_norm": 1.62122623212128, + "learning_rate": 4.863271986688656e-07, + "loss": 0.8411, + "step": 38342 + }, + { + "epoch": 0.9, + "grad_norm": 1.8586844785670738, + "learning_rate": 4.860921647598149e-07, + "loss": 0.8138, + "step": 38343 + }, + { + "epoch": 0.9, + "grad_norm": 1.5865095440932362, + "learning_rate": 4.8585718624375e-07, + "loss": 0.8804, + "step": 38344 + }, + { + "epoch": 0.9, + "grad_norm": 1.613715659835187, + "learning_rate": 4.856222631220354e-07, + "loss": 0.7642, + "step": 38345 + }, + { + "epoch": 0.9, + "grad_norm": 1.5645179851174043, + "learning_rate": 4.853873953960397e-07, + "loss": 0.8106, + "step": 38346 + }, + { + "epoch": 0.9, + "grad_norm": 1.587127050686854, + "learning_rate": 4.851525830671322e-07, + "loss": 0.8258, + "step": 38347 + }, + { + "epoch": 0.9, + "grad_norm": 2.861688146343257, + "learning_rate": 4.849178261366771e-07, + "loss": 0.9279, + "step": 38348 + }, + { + "epoch": 0.9, + "grad_norm": 1.7636504006458005, + "learning_rate": 4.846831246060435e-07, + "loss": 0.715, + "step": 38349 + }, + { + "epoch": 0.9, + "grad_norm": 1.8473042640246735, + "learning_rate": 4.844484784765968e-07, + "loss": 0.897, + "step": 38350 + }, + { + "epoch": 0.9, + "grad_norm": 0.7572992277356864, + "learning_rate": 4.842138877497049e-07, + "loss": 0.6593, + "step": 38351 + }, + { + "epoch": 0.9, + "grad_norm": 1.8878340973531913, + "learning_rate": 4.839793524267311e-07, + "loss": 0.8139, + "step": 38352 + }, + { + "epoch": 0.9, + "grad_norm": 1.8377916379902284, + "learning_rate": 4.837448725090433e-07, + "loss": 0.8717, + "step": 38353 + }, + { + "epoch": 0.9, + "grad_norm": 3.5573081923233043, + "learning_rate": 4.835104479980058e-07, + "loss": 0.8547, + "step": 38354 + }, + { + "epoch": 0.9, + "grad_norm": 1.7367139178570596, + "learning_rate": 4.832760788949809e-07, + "loss": 0.8593, + "step": 38355 + }, + { + "epoch": 0.9, + "grad_norm": 1.818835887214808, + "learning_rate": 4.830417652013364e-07, + "loss": 0.9193, + "step": 38356 + }, + { + "epoch": 0.9, + "grad_norm": 2.8472353659938197, + "learning_rate": 4.828075069184379e-07, + "loss": 0.6627, + "step": 38357 + }, + { + "epoch": 0.9, + "grad_norm": 1.5497757779072436, + "learning_rate": 4.825733040476465e-07, + "loss": 0.76, + "step": 38358 + }, + { + "epoch": 0.9, + "grad_norm": 1.588089514893298, + "learning_rate": 4.823391565903257e-07, + "loss": 0.9196, + "step": 38359 + }, + { + "epoch": 0.9, + "grad_norm": 1.623843761975287, + "learning_rate": 4.821050645478386e-07, + "loss": 0.8235, + "step": 38360 + }, + { + "epoch": 0.9, + "grad_norm": 2.079359416375061, + "learning_rate": 4.81871027921551e-07, + "loss": 0.7874, + "step": 38361 + }, + { + "epoch": 0.9, + "grad_norm": 1.7559425332621172, + "learning_rate": 4.81637046712824e-07, + "loss": 0.9352, + "step": 38362 + }, + { + "epoch": 0.9, + "grad_norm": 1.7565256205056423, + "learning_rate": 4.814031209230175e-07, + "loss": 0.7868, + "step": 38363 + }, + { + "epoch": 0.9, + "grad_norm": 1.937972608168557, + "learning_rate": 4.811692505534959e-07, + "loss": 0.8705, + "step": 38364 + }, + { + "epoch": 0.9, + "grad_norm": 1.5321843537194906, + "learning_rate": 4.809354356056217e-07, + "loss": 0.8702, + "step": 38365 + }, + { + "epoch": 0.9, + "grad_norm": 1.6099387314054168, + "learning_rate": 4.807016760807559e-07, + "loss": 0.8325, + "step": 38366 + }, + { + "epoch": 0.9, + "grad_norm": 3.126267040181865, + "learning_rate": 4.804679719802563e-07, + "loss": 0.8194, + "step": 38367 + }, + { + "epoch": 0.9, + "grad_norm": 1.629124111883684, + "learning_rate": 4.802343233054884e-07, + "loss": 0.7472, + "step": 38368 + }, + { + "epoch": 0.9, + "grad_norm": 1.5150682758970373, + "learning_rate": 4.80000730057808e-07, + "loss": 0.9824, + "step": 38369 + }, + { + "epoch": 0.9, + "grad_norm": 0.7248039242493528, + "learning_rate": 4.797671922385783e-07, + "loss": 0.6863, + "step": 38370 + }, + { + "epoch": 0.9, + "grad_norm": 1.4456255849751145, + "learning_rate": 4.795337098491582e-07, + "loss": 0.7988, + "step": 38371 + }, + { + "epoch": 0.9, + "grad_norm": 1.9626692968729202, + "learning_rate": 4.793002828909066e-07, + "loss": 0.8668, + "step": 38372 + }, + { + "epoch": 0.9, + "grad_norm": 1.688196674707681, + "learning_rate": 4.790669113651825e-07, + "loss": 0.8346, + "step": 38373 + }, + { + "epoch": 0.9, + "grad_norm": 1.5158682135992154, + "learning_rate": 4.788335952733459e-07, + "loss": 0.7738, + "step": 38374 + }, + { + "epoch": 0.9, + "grad_norm": 1.571365469907187, + "learning_rate": 4.786003346167556e-07, + "loss": 0.6472, + "step": 38375 + }, + { + "epoch": 0.9, + "grad_norm": 1.6822540987167245, + "learning_rate": 4.783671293967673e-07, + "loss": 0.9114, + "step": 38376 + }, + { + "epoch": 0.9, + "grad_norm": 1.8093795003483986, + "learning_rate": 4.781339796147389e-07, + "loss": 0.7266, + "step": 38377 + }, + { + "epoch": 0.9, + "grad_norm": 1.6139735067344179, + "learning_rate": 4.77900885272029e-07, + "loss": 0.7124, + "step": 38378 + }, + { + "epoch": 0.9, + "grad_norm": 1.6157765445249284, + "learning_rate": 4.77667846369998e-07, + "loss": 0.8106, + "step": 38379 + }, + { + "epoch": 0.9, + "grad_norm": 1.4566123658257313, + "learning_rate": 4.774348629099967e-07, + "loss": 0.7594, + "step": 38380 + }, + { + "epoch": 0.9, + "grad_norm": 1.6771620809900363, + "learning_rate": 4.772019348933854e-07, + "loss": 0.8941, + "step": 38381 + }, + { + "epoch": 0.9, + "grad_norm": 1.6028128899035214, + "learning_rate": 4.769690623215195e-07, + "loss": 0.7676, + "step": 38382 + }, + { + "epoch": 0.9, + "grad_norm": 1.8655420571504915, + "learning_rate": 4.7673624519575355e-07, + "loss": 0.728, + "step": 38383 + }, + { + "epoch": 0.9, + "grad_norm": 1.4410859033418497, + "learning_rate": 4.7650348351744533e-07, + "loss": 0.8377, + "step": 38384 + }, + { + "epoch": 0.9, + "grad_norm": 1.8110686915471574, + "learning_rate": 4.7627077728794824e-07, + "loss": 0.7306, + "step": 38385 + }, + { + "epoch": 0.9, + "grad_norm": 1.5768041791552043, + "learning_rate": 4.7603812650861893e-07, + "loss": 0.845, + "step": 38386 + }, + { + "epoch": 0.9, + "grad_norm": 1.5909867009034544, + "learning_rate": 4.758055311808096e-07, + "loss": 0.9179, + "step": 38387 + }, + { + "epoch": 0.9, + "grad_norm": 1.5890269094790292, + "learning_rate": 4.755729913058771e-07, + "loss": 0.7054, + "step": 38388 + }, + { + "epoch": 0.9, + "grad_norm": 1.8788898241241843, + "learning_rate": 4.753405068851735e-07, + "loss": 1.0402, + "step": 38389 + }, + { + "epoch": 0.9, + "grad_norm": 1.6047546695110548, + "learning_rate": 4.751080779200512e-07, + "loss": 0.8824, + "step": 38390 + }, + { + "epoch": 0.9, + "grad_norm": 2.5859590447384058, + "learning_rate": 4.748757044118668e-07, + "loss": 0.8768, + "step": 38391 + }, + { + "epoch": 0.9, + "grad_norm": 1.6213347532689741, + "learning_rate": 4.746433863619715e-07, + "loss": 0.932, + "step": 38392 + }, + { + "epoch": 0.9, + "grad_norm": 1.5175193546028025, + "learning_rate": 4.744111237717186e-07, + "loss": 0.7534, + "step": 38393 + }, + { + "epoch": 0.9, + "grad_norm": 1.4690443340899781, + "learning_rate": 4.741789166424593e-07, + "loss": 0.8241, + "step": 38394 + }, + { + "epoch": 0.9, + "grad_norm": 1.70457867406591, + "learning_rate": 4.739467649755447e-07, + "loss": 0.7772, + "step": 38395 + }, + { + "epoch": 0.9, + "grad_norm": 1.5504537596446626, + "learning_rate": 4.7371466877233043e-07, + "loss": 0.8306, + "step": 38396 + }, + { + "epoch": 0.9, + "grad_norm": 1.4930226482082953, + "learning_rate": 4.734826280341653e-07, + "loss": 0.9071, + "step": 38397 + }, + { + "epoch": 0.9, + "grad_norm": 1.6116940811764926, + "learning_rate": 4.732506427623984e-07, + "loss": 0.807, + "step": 38398 + }, + { + "epoch": 0.9, + "grad_norm": 1.5968114592375076, + "learning_rate": 4.7301871295838297e-07, + "loss": 0.7844, + "step": 38399 + }, + { + "epoch": 0.9, + "grad_norm": 1.856707089589291, + "learning_rate": 4.727868386234702e-07, + "loss": 0.8334, + "step": 38400 + }, + { + "epoch": 0.9, + "grad_norm": 1.726876841587419, + "learning_rate": 4.725550197590079e-07, + "loss": 0.9563, + "step": 38401 + }, + { + "epoch": 0.9, + "grad_norm": 1.6276400451242223, + "learning_rate": 4.7232325636634603e-07, + "loss": 0.7632, + "step": 38402 + }, + { + "epoch": 0.9, + "grad_norm": 1.6367610624205344, + "learning_rate": 4.720915484468358e-07, + "loss": 0.8333, + "step": 38403 + }, + { + "epoch": 0.9, + "grad_norm": 0.7829360209167321, + "learning_rate": 4.718598960018228e-07, + "loss": 0.6854, + "step": 38404 + }, + { + "epoch": 0.9, + "grad_norm": 0.795525431841775, + "learning_rate": 4.716282990326604e-07, + "loss": 0.753, + "step": 38405 + }, + { + "epoch": 0.9, + "grad_norm": 1.512186861188532, + "learning_rate": 4.7139675754069304e-07, + "loss": 0.8248, + "step": 38406 + }, + { + "epoch": 0.9, + "grad_norm": 1.740339954000017, + "learning_rate": 4.7116527152727187e-07, + "loss": 0.8958, + "step": 38407 + }, + { + "epoch": 0.9, + "grad_norm": 1.6687198170106528, + "learning_rate": 4.709338409937414e-07, + "loss": 0.8609, + "step": 38408 + }, + { + "epoch": 0.9, + "grad_norm": 1.788883133783825, + "learning_rate": 4.7070246594145276e-07, + "loss": 0.8417, + "step": 38409 + }, + { + "epoch": 0.9, + "grad_norm": 1.6792215764264717, + "learning_rate": 4.704711463717515e-07, + "loss": 0.8051, + "step": 38410 + }, + { + "epoch": 0.9, + "grad_norm": 1.6227854727708944, + "learning_rate": 4.7023988228598326e-07, + "loss": 0.9459, + "step": 38411 + }, + { + "epoch": 0.9, + "grad_norm": 1.6128471428139661, + "learning_rate": 4.7000867368549473e-07, + "loss": 0.8457, + "step": 38412 + }, + { + "epoch": 0.9, + "grad_norm": 1.615144974081402, + "learning_rate": 4.697775205716348e-07, + "loss": 0.7689, + "step": 38413 + }, + { + "epoch": 0.91, + "grad_norm": 0.7262615130421758, + "learning_rate": 4.695464229457469e-07, + "loss": 0.6375, + "step": 38414 + }, + { + "epoch": 0.91, + "grad_norm": 2.701613282871379, + "learning_rate": 4.693153808091755e-07, + "loss": 0.776, + "step": 38415 + }, + { + "epoch": 0.91, + "grad_norm": 1.396953017933607, + "learning_rate": 4.690843941632672e-07, + "loss": 0.7079, + "step": 38416 + }, + { + "epoch": 0.91, + "grad_norm": 1.839265256339836, + "learning_rate": 4.6885346300936885e-07, + "loss": 0.6916, + "step": 38417 + }, + { + "epoch": 0.91, + "grad_norm": 1.432760460881862, + "learning_rate": 4.686225873488226e-07, + "loss": 0.8426, + "step": 38418 + }, + { + "epoch": 0.91, + "grad_norm": 1.5712654698487292, + "learning_rate": 4.6839176718297297e-07, + "loss": 0.7974, + "step": 38419 + }, + { + "epoch": 0.91, + "grad_norm": 0.7295807861995615, + "learning_rate": 4.6816100251316333e-07, + "loss": 0.7138, + "step": 38420 + }, + { + "epoch": 0.91, + "grad_norm": 0.8251980517168402, + "learning_rate": 4.6793029334073926e-07, + "loss": 0.7902, + "step": 38421 + }, + { + "epoch": 0.91, + "grad_norm": 1.6684138273706568, + "learning_rate": 4.67699639667043e-07, + "loss": 0.8325, + "step": 38422 + }, + { + "epoch": 0.91, + "grad_norm": 1.796954281498799, + "learning_rate": 4.6746904149341576e-07, + "loss": 0.8704, + "step": 38423 + }, + { + "epoch": 0.91, + "grad_norm": 0.7696705261518634, + "learning_rate": 4.67238498821202e-07, + "loss": 0.7324, + "step": 38424 + }, + { + "epoch": 0.91, + "grad_norm": 1.4654303341455086, + "learning_rate": 4.6700801165174504e-07, + "loss": 0.8171, + "step": 38425 + }, + { + "epoch": 0.91, + "grad_norm": 1.758568313865541, + "learning_rate": 4.667775799863861e-07, + "loss": 0.9164, + "step": 38426 + }, + { + "epoch": 0.91, + "grad_norm": 1.6022786778150155, + "learning_rate": 4.66547203826464e-07, + "loss": 0.8073, + "step": 38427 + }, + { + "epoch": 0.91, + "grad_norm": 1.7593685666990644, + "learning_rate": 4.6631688317332447e-07, + "loss": 0.8576, + "step": 38428 + }, + { + "epoch": 0.91, + "grad_norm": 1.7139774529872618, + "learning_rate": 4.660866180283041e-07, + "loss": 0.8449, + "step": 38429 + }, + { + "epoch": 0.91, + "grad_norm": 1.5717761277518199, + "learning_rate": 4.658564083927475e-07, + "loss": 0.8774, + "step": 38430 + }, + { + "epoch": 0.91, + "grad_norm": 1.7287703296805677, + "learning_rate": 4.6562625426799237e-07, + "loss": 0.9586, + "step": 38431 + }, + { + "epoch": 0.91, + "grad_norm": 1.6905265398972813, + "learning_rate": 4.65396155655381e-07, + "loss": 0.869, + "step": 38432 + }, + { + "epoch": 0.91, + "grad_norm": 0.781923029220228, + "learning_rate": 4.651661125562501e-07, + "loss": 0.7048, + "step": 38433 + }, + { + "epoch": 0.91, + "grad_norm": 2.125887320536363, + "learning_rate": 4.64936124971942e-07, + "loss": 0.6751, + "step": 38434 + }, + { + "epoch": 0.91, + "grad_norm": 1.6762107806323354, + "learning_rate": 4.6470619290379547e-07, + "loss": 0.8511, + "step": 38435 + }, + { + "epoch": 0.91, + "grad_norm": 1.5621953215116682, + "learning_rate": 4.6447631635314626e-07, + "loss": 0.9273, + "step": 38436 + }, + { + "epoch": 0.91, + "grad_norm": 0.7365134849799927, + "learning_rate": 4.6424649532133437e-07, + "loss": 0.6481, + "step": 38437 + }, + { + "epoch": 0.91, + "grad_norm": 1.3659349335541304, + "learning_rate": 4.640167298097009e-07, + "loss": 0.8003, + "step": 38438 + }, + { + "epoch": 0.91, + "grad_norm": 1.5360358211995613, + "learning_rate": 4.637870198195804e-07, + "loss": 0.8595, + "step": 38439 + }, + { + "epoch": 0.91, + "grad_norm": 1.5492210589147961, + "learning_rate": 4.6355736535230956e-07, + "loss": 0.9761, + "step": 38440 + }, + { + "epoch": 0.91, + "grad_norm": 1.7941346300293022, + "learning_rate": 4.633277664092262e-07, + "loss": 0.8016, + "step": 38441 + }, + { + "epoch": 0.91, + "grad_norm": 1.657602843470964, + "learning_rate": 4.630982229916703e-07, + "loss": 0.7456, + "step": 38442 + }, + { + "epoch": 0.91, + "grad_norm": 2.0213821230357465, + "learning_rate": 4.628687351009753e-07, + "loss": 0.7755, + "step": 38443 + }, + { + "epoch": 0.91, + "grad_norm": 1.5523440494210692, + "learning_rate": 4.626393027384768e-07, + "loss": 0.8, + "step": 38444 + }, + { + "epoch": 0.91, + "grad_norm": 1.6342485515679903, + "learning_rate": 4.624099259055126e-07, + "loss": 0.774, + "step": 38445 + }, + { + "epoch": 0.91, + "grad_norm": 1.7076445411865708, + "learning_rate": 4.6218060460341716e-07, + "loss": 0.8309, + "step": 38446 + }, + { + "epoch": 0.91, + "grad_norm": 1.5195686638269394, + "learning_rate": 4.619513388335273e-07, + "loss": 0.8096, + "step": 38447 + }, + { + "epoch": 0.91, + "grad_norm": 1.494379178611496, + "learning_rate": 4.6172212859717403e-07, + "loss": 0.7506, + "step": 38448 + }, + { + "epoch": 0.91, + "grad_norm": 0.7841645502050759, + "learning_rate": 4.6149297389569634e-07, + "loss": 0.7021, + "step": 38449 + }, + { + "epoch": 0.91, + "grad_norm": 1.6650819734283537, + "learning_rate": 4.612638747304243e-07, + "loss": 0.8868, + "step": 38450 + }, + { + "epoch": 0.91, + "grad_norm": 1.8193270778062756, + "learning_rate": 4.6103483110269575e-07, + "loss": 0.7734, + "step": 38451 + }, + { + "epoch": 0.91, + "grad_norm": 2.31057535254325, + "learning_rate": 4.608058430138407e-07, + "loss": 0.8819, + "step": 38452 + }, + { + "epoch": 0.91, + "grad_norm": 1.4416444250810279, + "learning_rate": 4.605769104651958e-07, + "loss": 0.8562, + "step": 38453 + }, + { + "epoch": 0.91, + "grad_norm": 1.6481744542554129, + "learning_rate": 4.603480334580912e-07, + "loss": 0.7211, + "step": 38454 + }, + { + "epoch": 0.91, + "grad_norm": 1.7201386494265167, + "learning_rate": 4.6011921199386136e-07, + "loss": 0.78, + "step": 38455 + }, + { + "epoch": 0.91, + "grad_norm": 1.4939264335628906, + "learning_rate": 4.5989044607383846e-07, + "loss": 0.7998, + "step": 38456 + }, + { + "epoch": 0.91, + "grad_norm": 1.579804020022573, + "learning_rate": 4.5966173569935156e-07, + "loss": 0.8846, + "step": 38457 + }, + { + "epoch": 0.91, + "grad_norm": 2.1574275525998896, + "learning_rate": 4.594330808717351e-07, + "loss": 0.9069, + "step": 38458 + }, + { + "epoch": 0.91, + "grad_norm": 1.629620890895407, + "learning_rate": 4.592044815923191e-07, + "loss": 0.8797, + "step": 38459 + }, + { + "epoch": 0.91, + "grad_norm": 1.8015269744129632, + "learning_rate": 4.589759378624381e-07, + "loss": 0.8011, + "step": 38460 + }, + { + "epoch": 0.91, + "grad_norm": 1.6789695635079611, + "learning_rate": 4.587474496834166e-07, + "loss": 0.9586, + "step": 38461 + }, + { + "epoch": 0.91, + "grad_norm": 1.8865140796870234, + "learning_rate": 4.58519017056589e-07, + "loss": 0.8823, + "step": 38462 + }, + { + "epoch": 0.91, + "grad_norm": 1.7534998875531274, + "learning_rate": 4.582906399832854e-07, + "loss": 0.799, + "step": 38463 + }, + { + "epoch": 0.91, + "grad_norm": 1.550295086787872, + "learning_rate": 4.5806231846483475e-07, + "loss": 0.9638, + "step": 38464 + }, + { + "epoch": 0.91, + "grad_norm": 1.6602663875608468, + "learning_rate": 4.5783405250256487e-07, + "loss": 0.817, + "step": 38465 + }, + { + "epoch": 0.91, + "grad_norm": 1.54987124338903, + "learning_rate": 4.5760584209780577e-07, + "loss": 0.821, + "step": 38466 + }, + { + "epoch": 0.91, + "grad_norm": 1.6744315593677002, + "learning_rate": 4.573776872518887e-07, + "loss": 0.8668, + "step": 38467 + }, + { + "epoch": 0.91, + "grad_norm": 1.593493966181244, + "learning_rate": 4.571495879661392e-07, + "loss": 0.7005, + "step": 38468 + }, + { + "epoch": 0.91, + "grad_norm": 1.5593416385083663, + "learning_rate": 4.5692154424188506e-07, + "loss": 0.8141, + "step": 38469 + }, + { + "epoch": 0.91, + "grad_norm": 1.5192756861205614, + "learning_rate": 4.566935560804564e-07, + "loss": 0.9331, + "step": 38470 + }, + { + "epoch": 0.91, + "grad_norm": 1.99585931845587, + "learning_rate": 4.5646562348317657e-07, + "loss": 0.6473, + "step": 38471 + }, + { + "epoch": 0.91, + "grad_norm": 1.6862563975418121, + "learning_rate": 4.5623774645137675e-07, + "loss": 0.854, + "step": 38472 + }, + { + "epoch": 0.91, + "grad_norm": 0.7859578440484123, + "learning_rate": 4.5600992498638364e-07, + "loss": 0.6796, + "step": 38473 + }, + { + "epoch": 0.91, + "grad_norm": 1.6039704098861889, + "learning_rate": 4.557821590895217e-07, + "loss": 0.7407, + "step": 38474 + }, + { + "epoch": 0.91, + "grad_norm": 1.5896134638838015, + "learning_rate": 4.5555444876211664e-07, + "loss": 0.8001, + "step": 38475 + }, + { + "epoch": 0.91, + "grad_norm": 0.7696587770534811, + "learning_rate": 4.553267940054951e-07, + "loss": 0.7276, + "step": 38476 + }, + { + "epoch": 0.91, + "grad_norm": 1.4029234293501764, + "learning_rate": 4.5509919482098486e-07, + "loss": 0.7254, + "step": 38477 + }, + { + "epoch": 0.91, + "grad_norm": 1.7839040541684947, + "learning_rate": 4.5487165120990716e-07, + "loss": 0.8496, + "step": 38478 + }, + { + "epoch": 0.91, + "grad_norm": 1.6568761560760876, + "learning_rate": 4.546441631735887e-07, + "loss": 0.8811, + "step": 38479 + }, + { + "epoch": 0.91, + "grad_norm": 1.5454521720946464, + "learning_rate": 4.544167307133529e-07, + "loss": 0.9464, + "step": 38480 + }, + { + "epoch": 0.91, + "grad_norm": 1.446063185476188, + "learning_rate": 4.5418935383052756e-07, + "loss": 0.9182, + "step": 38481 + }, + { + "epoch": 0.91, + "grad_norm": 1.6791149837310657, + "learning_rate": 4.5396203252643377e-07, + "loss": 0.904, + "step": 38482 + }, + { + "epoch": 0.91, + "grad_norm": 1.5403713416731977, + "learning_rate": 4.5373476680239283e-07, + "loss": 0.9012, + "step": 38483 + }, + { + "epoch": 0.91, + "grad_norm": 1.4453242421680057, + "learning_rate": 4.5350755665973243e-07, + "loss": 0.8338, + "step": 38484 + }, + { + "epoch": 0.91, + "grad_norm": 1.444547525019434, + "learning_rate": 4.532804020997728e-07, + "loss": 0.8331, + "step": 38485 + }, + { + "epoch": 0.91, + "grad_norm": 0.7586091749175365, + "learning_rate": 4.5305330312383713e-07, + "loss": 0.7066, + "step": 38486 + }, + { + "epoch": 0.91, + "grad_norm": 1.8353154073275588, + "learning_rate": 4.5282625973324666e-07, + "loss": 0.7859, + "step": 38487 + }, + { + "epoch": 0.91, + "grad_norm": 1.5651811683494172, + "learning_rate": 4.52599271929326e-07, + "loss": 0.842, + "step": 38488 + }, + { + "epoch": 0.91, + "grad_norm": 1.4636565846871166, + "learning_rate": 4.523723397133939e-07, + "loss": 0.8539, + "step": 38489 + }, + { + "epoch": 0.91, + "grad_norm": 1.5520384869386794, + "learning_rate": 4.5214546308677386e-07, + "loss": 0.7204, + "step": 38490 + }, + { + "epoch": 0.91, + "grad_norm": 1.6570136504099127, + "learning_rate": 4.5191864205078596e-07, + "loss": 0.7801, + "step": 38491 + }, + { + "epoch": 0.91, + "grad_norm": 1.6629542800833061, + "learning_rate": 4.516918766067491e-07, + "loss": 0.846, + "step": 38492 + }, + { + "epoch": 0.91, + "grad_norm": 1.524554309004315, + "learning_rate": 4.514651667559844e-07, + "loss": 0.8821, + "step": 38493 + }, + { + "epoch": 0.91, + "grad_norm": 1.638390375843148, + "learning_rate": 4.512385124998142e-07, + "loss": 0.8612, + "step": 38494 + }, + { + "epoch": 0.91, + "grad_norm": 0.8216659712282758, + "learning_rate": 4.510119138395563e-07, + "loss": 0.6735, + "step": 38495 + }, + { + "epoch": 0.91, + "grad_norm": 1.928891184735028, + "learning_rate": 4.5078537077652975e-07, + "loss": 0.8737, + "step": 38496 + }, + { + "epoch": 0.91, + "grad_norm": 2.3546769498533826, + "learning_rate": 4.5055888331205335e-07, + "loss": 0.9176, + "step": 38497 + }, + { + "epoch": 0.91, + "grad_norm": 0.7599475904973488, + "learning_rate": 4.503324514474483e-07, + "loss": 0.7248, + "step": 38498 + }, + { + "epoch": 0.91, + "grad_norm": 1.4217111098354693, + "learning_rate": 4.5010607518403024e-07, + "loss": 0.8356, + "step": 38499 + }, + { + "epoch": 0.91, + "grad_norm": 1.4726321201385533, + "learning_rate": 4.498797545231171e-07, + "loss": 0.6778, + "step": 38500 + }, + { + "epoch": 0.91, + "grad_norm": 1.688115835629164, + "learning_rate": 4.496534894660276e-07, + "loss": 0.8404, + "step": 38501 + }, + { + "epoch": 0.91, + "grad_norm": 1.6808882216074152, + "learning_rate": 4.4942728001408087e-07, + "loss": 0.8715, + "step": 38502 + }, + { + "epoch": 0.91, + "grad_norm": 0.7858930638677332, + "learning_rate": 4.4920112616859135e-07, + "loss": 0.7027, + "step": 38503 + }, + { + "epoch": 0.91, + "grad_norm": 1.6433827914472867, + "learning_rate": 4.4897502793087576e-07, + "loss": 0.8424, + "step": 38504 + }, + { + "epoch": 0.91, + "grad_norm": 1.5325188749044618, + "learning_rate": 4.487489853022531e-07, + "loss": 0.8199, + "step": 38505 + }, + { + "epoch": 0.91, + "grad_norm": 1.6338384476398495, + "learning_rate": 4.485229982840356e-07, + "loss": 0.8007, + "step": 38506 + }, + { + "epoch": 0.91, + "grad_norm": 1.6130136792658094, + "learning_rate": 4.4829706687754213e-07, + "loss": 0.7964, + "step": 38507 + }, + { + "epoch": 0.91, + "grad_norm": 1.6914793468582536, + "learning_rate": 4.480711910840874e-07, + "loss": 0.6749, + "step": 38508 + }, + { + "epoch": 0.91, + "grad_norm": 2.3267279436812967, + "learning_rate": 4.478453709049857e-07, + "loss": 0.8221, + "step": 38509 + }, + { + "epoch": 0.91, + "grad_norm": 1.4797041890223206, + "learning_rate": 4.476196063415528e-07, + "loss": 0.9545, + "step": 38510 + }, + { + "epoch": 0.91, + "grad_norm": 1.4752388131434315, + "learning_rate": 4.4739389739510306e-07, + "loss": 0.7879, + "step": 38511 + }, + { + "epoch": 0.91, + "grad_norm": 1.5363401871042996, + "learning_rate": 4.4716824406695005e-07, + "loss": 0.8562, + "step": 38512 + }, + { + "epoch": 0.91, + "grad_norm": 1.7706824266276728, + "learning_rate": 4.4694264635840814e-07, + "loss": 0.7789, + "step": 38513 + }, + { + "epoch": 0.91, + "grad_norm": 1.9150193934285231, + "learning_rate": 4.467171042707896e-07, + "loss": 0.8685, + "step": 38514 + }, + { + "epoch": 0.91, + "grad_norm": 0.7939104604850193, + "learning_rate": 4.4649161780540907e-07, + "loss": 0.722, + "step": 38515 + }, + { + "epoch": 0.91, + "grad_norm": 2.1917946357848184, + "learning_rate": 4.4626618696357983e-07, + "loss": 0.8472, + "step": 38516 + }, + { + "epoch": 0.91, + "grad_norm": 1.5576011264505116, + "learning_rate": 4.460408117466131e-07, + "loss": 0.8183, + "step": 38517 + }, + { + "epoch": 0.91, + "grad_norm": 1.5876864778638262, + "learning_rate": 4.4581549215582e-07, + "loss": 0.786, + "step": 38518 + }, + { + "epoch": 0.91, + "grad_norm": 1.6106531690005563, + "learning_rate": 4.455902281925162e-07, + "loss": 0.7163, + "step": 38519 + }, + { + "epoch": 0.91, + "grad_norm": 2.052576405440692, + "learning_rate": 4.453650198580106e-07, + "loss": 0.6685, + "step": 38520 + }, + { + "epoch": 0.91, + "grad_norm": 1.7468740182464484, + "learning_rate": 4.4513986715361336e-07, + "loss": 0.827, + "step": 38521 + }, + { + "epoch": 0.91, + "grad_norm": 2.459911791666215, + "learning_rate": 4.4491477008063666e-07, + "loss": 0.8595, + "step": 38522 + }, + { + "epoch": 0.91, + "grad_norm": 1.726835135168576, + "learning_rate": 4.446897286403928e-07, + "loss": 0.8624, + "step": 38523 + }, + { + "epoch": 0.91, + "grad_norm": 1.6659686306167658, + "learning_rate": 4.444647428341908e-07, + "loss": 0.9054, + "step": 38524 + }, + { + "epoch": 0.91, + "grad_norm": 1.7455920701413026, + "learning_rate": 4.4423981266333847e-07, + "loss": 0.8044, + "step": 38525 + }, + { + "epoch": 0.91, + "grad_norm": 1.648208830552741, + "learning_rate": 4.440149381291492e-07, + "loss": 0.8514, + "step": 38526 + }, + { + "epoch": 0.91, + "grad_norm": 1.5902372105182423, + "learning_rate": 4.437901192329286e-07, + "loss": 0.854, + "step": 38527 + }, + { + "epoch": 0.91, + "grad_norm": 1.6046411083625929, + "learning_rate": 4.435653559759878e-07, + "loss": 0.775, + "step": 38528 + }, + { + "epoch": 0.91, + "grad_norm": 1.7764125940100348, + "learning_rate": 4.4334064835963475e-07, + "loss": 0.7919, + "step": 38529 + }, + { + "epoch": 0.91, + "grad_norm": 1.5450465176955668, + "learning_rate": 4.4311599638517944e-07, + "loss": 0.7907, + "step": 38530 + }, + { + "epoch": 0.91, + "grad_norm": 0.7512779251238637, + "learning_rate": 4.4289140005392637e-07, + "loss": 0.7139, + "step": 38531 + }, + { + "epoch": 0.91, + "grad_norm": 1.5553014621748098, + "learning_rate": 4.426668593671879e-07, + "loss": 0.8807, + "step": 38532 + }, + { + "epoch": 0.91, + "grad_norm": 1.5658400163125112, + "learning_rate": 4.4244237432626737e-07, + "loss": 0.8696, + "step": 38533 + }, + { + "epoch": 0.91, + "grad_norm": 1.8290429815887617, + "learning_rate": 4.422179449324726e-07, + "loss": 0.7344, + "step": 38534 + }, + { + "epoch": 0.91, + "grad_norm": 0.7881967350045999, + "learning_rate": 4.419935711871115e-07, + "loss": 0.7672, + "step": 38535 + }, + { + "epoch": 0.91, + "grad_norm": 1.8067337840940905, + "learning_rate": 4.417692530914908e-07, + "loss": 0.8608, + "step": 38536 + }, + { + "epoch": 0.91, + "grad_norm": 1.5709512453116556, + "learning_rate": 4.415449906469149e-07, + "loss": 0.8577, + "step": 38537 + }, + { + "epoch": 0.91, + "grad_norm": 1.5220767507394906, + "learning_rate": 4.4132078385468956e-07, + "loss": 0.7866, + "step": 38538 + }, + { + "epoch": 0.91, + "grad_norm": 1.6261966905172585, + "learning_rate": 4.4109663271612036e-07, + "loss": 0.7351, + "step": 38539 + }, + { + "epoch": 0.91, + "grad_norm": 1.600592612933546, + "learning_rate": 4.40872537232514e-07, + "loss": 0.9077, + "step": 38540 + }, + { + "epoch": 0.91, + "grad_norm": 1.5004787476963253, + "learning_rate": 4.40648497405175e-07, + "loss": 0.819, + "step": 38541 + }, + { + "epoch": 0.91, + "grad_norm": 1.4744271748642608, + "learning_rate": 4.4042451323540457e-07, + "loss": 0.7043, + "step": 38542 + }, + { + "epoch": 0.91, + "grad_norm": 1.6718752019664274, + "learning_rate": 4.4020058472450946e-07, + "loss": 0.8256, + "step": 38543 + }, + { + "epoch": 0.91, + "grad_norm": 1.4755260452534333, + "learning_rate": 4.399767118737952e-07, + "loss": 0.7736, + "step": 38544 + }, + { + "epoch": 0.91, + "grad_norm": 1.8456504584359594, + "learning_rate": 4.3975289468456194e-07, + "loss": 0.9092, + "step": 38545 + }, + { + "epoch": 0.91, + "grad_norm": 1.704765035284419, + "learning_rate": 4.395291331581142e-07, + "loss": 0.8585, + "step": 38546 + }, + { + "epoch": 0.91, + "grad_norm": 1.4600282779524123, + "learning_rate": 4.393054272957531e-07, + "loss": 0.8539, + "step": 38547 + }, + { + "epoch": 0.91, + "grad_norm": 1.6489802934297535, + "learning_rate": 4.390817770987854e-07, + "loss": 0.7682, + "step": 38548 + }, + { + "epoch": 0.91, + "grad_norm": 1.7269873894599383, + "learning_rate": 4.38858182568509e-07, + "loss": 0.7961, + "step": 38549 + }, + { + "epoch": 0.91, + "grad_norm": 1.6661656975305763, + "learning_rate": 4.3863464370622723e-07, + "loss": 0.7633, + "step": 38550 + }, + { + "epoch": 0.91, + "grad_norm": 1.9544186531428736, + "learning_rate": 4.384111605132424e-07, + "loss": 0.8438, + "step": 38551 + }, + { + "epoch": 0.91, + "grad_norm": 1.4887332396526956, + "learning_rate": 4.381877329908535e-07, + "loss": 0.8817, + "step": 38552 + }, + { + "epoch": 0.91, + "grad_norm": 1.6730198601880875, + "learning_rate": 4.37964361140365e-07, + "loss": 0.714, + "step": 38553 + }, + { + "epoch": 0.91, + "grad_norm": 1.6029823040103335, + "learning_rate": 4.377410449630737e-07, + "loss": 0.7965, + "step": 38554 + }, + { + "epoch": 0.91, + "grad_norm": 1.9448607262447901, + "learning_rate": 4.375177844602818e-07, + "loss": 0.8951, + "step": 38555 + }, + { + "epoch": 0.91, + "grad_norm": 1.5760681998726314, + "learning_rate": 4.3729457963328837e-07, + "loss": 0.8436, + "step": 38556 + }, + { + "epoch": 0.91, + "grad_norm": 1.565578779355469, + "learning_rate": 4.370714304833923e-07, + "loss": 0.8839, + "step": 38557 + }, + { + "epoch": 0.91, + "grad_norm": 0.7367960982746437, + "learning_rate": 4.368483370118981e-07, + "loss": 0.6685, + "step": 38558 + }, + { + "epoch": 0.91, + "grad_norm": 1.5061454017163265, + "learning_rate": 4.36625299220097e-07, + "loss": 0.9366, + "step": 38559 + }, + { + "epoch": 0.91, + "grad_norm": 1.8384382241837787, + "learning_rate": 4.3640231710929124e-07, + "loss": 0.8649, + "step": 38560 + }, + { + "epoch": 0.91, + "grad_norm": 1.672653681747749, + "learning_rate": 4.3617939068077874e-07, + "loss": 0.8899, + "step": 38561 + }, + { + "epoch": 0.91, + "grad_norm": 1.8823742817493732, + "learning_rate": 4.359565199358606e-07, + "loss": 0.8554, + "step": 38562 + }, + { + "epoch": 0.91, + "grad_norm": 1.4638711892764213, + "learning_rate": 4.357337048758292e-07, + "loss": 0.8201, + "step": 38563 + }, + { + "epoch": 0.91, + "grad_norm": 1.6646547666011944, + "learning_rate": 4.355109455019835e-07, + "loss": 0.8255, + "step": 38564 + }, + { + "epoch": 0.91, + "grad_norm": 1.6687350100523668, + "learning_rate": 4.3528824181562237e-07, + "loss": 0.8729, + "step": 38565 + }, + { + "epoch": 0.91, + "grad_norm": 2.095475171470099, + "learning_rate": 4.350655938180426e-07, + "loss": 0.8586, + "step": 38566 + }, + { + "epoch": 0.91, + "grad_norm": 1.5779687471531831, + "learning_rate": 4.348430015105365e-07, + "loss": 0.895, + "step": 38567 + }, + { + "epoch": 0.91, + "grad_norm": 1.634022192623683, + "learning_rate": 4.34620464894403e-07, + "loss": 0.986, + "step": 38568 + }, + { + "epoch": 0.91, + "grad_norm": 2.074440639545319, + "learning_rate": 4.343979839709389e-07, + "loss": 0.7647, + "step": 38569 + }, + { + "epoch": 0.91, + "grad_norm": 1.5447991512075645, + "learning_rate": 4.3417555874143644e-07, + "loss": 0.8656, + "step": 38570 + }, + { + "epoch": 0.91, + "grad_norm": 1.6349538624902573, + "learning_rate": 4.3395318920719465e-07, + "loss": 0.9464, + "step": 38571 + }, + { + "epoch": 0.91, + "grad_norm": 1.5642967465754274, + "learning_rate": 4.3373087536950574e-07, + "loss": 0.781, + "step": 38572 + }, + { + "epoch": 0.91, + "grad_norm": 1.8314209315392729, + "learning_rate": 4.335086172296621e-07, + "loss": 0.694, + "step": 38573 + }, + { + "epoch": 0.91, + "grad_norm": 2.5279289663237603, + "learning_rate": 4.3328641478896037e-07, + "loss": 0.8595, + "step": 38574 + }, + { + "epoch": 0.91, + "grad_norm": 1.625014528979144, + "learning_rate": 4.330642680486952e-07, + "loss": 0.8069, + "step": 38575 + }, + { + "epoch": 0.91, + "grad_norm": 1.43537529675004, + "learning_rate": 4.3284217701015985e-07, + "loss": 0.7318, + "step": 38576 + }, + { + "epoch": 0.91, + "grad_norm": 0.8001407116390554, + "learning_rate": 4.3262014167464337e-07, + "loss": 0.7377, + "step": 38577 + }, + { + "epoch": 0.91, + "grad_norm": 1.5481189018572363, + "learning_rate": 4.3239816204344256e-07, + "loss": 0.7943, + "step": 38578 + }, + { + "epoch": 0.91, + "grad_norm": 1.5700057166929615, + "learning_rate": 4.321762381178496e-07, + "loss": 0.8279, + "step": 38579 + }, + { + "epoch": 0.91, + "grad_norm": 2.4435173358054674, + "learning_rate": 4.319543698991546e-07, + "loss": 0.8508, + "step": 38580 + }, + { + "epoch": 0.91, + "grad_norm": 0.7936052465290878, + "learning_rate": 4.3173255738865104e-07, + "loss": 0.7084, + "step": 38581 + }, + { + "epoch": 0.91, + "grad_norm": 1.5243310857077668, + "learning_rate": 4.3151080058762897e-07, + "loss": 0.7418, + "step": 38582 + }, + { + "epoch": 0.91, + "grad_norm": 1.884956536605586, + "learning_rate": 4.312890994973806e-07, + "loss": 0.8071, + "step": 38583 + }, + { + "epoch": 0.91, + "grad_norm": 1.5373086866370507, + "learning_rate": 4.310674541191984e-07, + "loss": 0.9246, + "step": 38584 + }, + { + "epoch": 0.91, + "grad_norm": 1.980156961040861, + "learning_rate": 4.308458644543678e-07, + "loss": 0.8031, + "step": 38585 + }, + { + "epoch": 0.91, + "grad_norm": 0.7334245977183806, + "learning_rate": 4.306243305041846e-07, + "loss": 0.6675, + "step": 38586 + }, + { + "epoch": 0.91, + "grad_norm": 5.667905285876451, + "learning_rate": 4.304028522699344e-07, + "loss": 0.8285, + "step": 38587 + }, + { + "epoch": 0.91, + "grad_norm": 1.503590816407067, + "learning_rate": 4.3018142975291054e-07, + "loss": 0.937, + "step": 38588 + }, + { + "epoch": 0.91, + "grad_norm": 1.6318297090702598, + "learning_rate": 4.2996006295439764e-07, + "loss": 0.8643, + "step": 38589 + }, + { + "epoch": 0.91, + "grad_norm": 1.6287828203990553, + "learning_rate": 4.2973875187568903e-07, + "loss": 0.849, + "step": 38590 + }, + { + "epoch": 0.91, + "grad_norm": 1.577574232696068, + "learning_rate": 4.295174965180704e-07, + "loss": 0.7763, + "step": 38591 + }, + { + "epoch": 0.91, + "grad_norm": 1.6588823633812737, + "learning_rate": 4.292962968828318e-07, + "loss": 0.8778, + "step": 38592 + }, + { + "epoch": 0.91, + "grad_norm": 1.6798013938919378, + "learning_rate": 4.2907515297126003e-07, + "loss": 0.7623, + "step": 38593 + }, + { + "epoch": 0.91, + "grad_norm": 2.381299079154539, + "learning_rate": 4.288540647846418e-07, + "loss": 0.7821, + "step": 38594 + }, + { + "epoch": 0.91, + "grad_norm": 1.6161375611120474, + "learning_rate": 4.286330323242649e-07, + "loss": 0.7279, + "step": 38595 + }, + { + "epoch": 0.91, + "grad_norm": 2.3915996938729687, + "learning_rate": 4.284120555914184e-07, + "loss": 0.7837, + "step": 38596 + }, + { + "epoch": 0.91, + "grad_norm": 1.6749903701253923, + "learning_rate": 4.281911345873868e-07, + "loss": 0.8395, + "step": 38597 + }, + { + "epoch": 0.91, + "grad_norm": 1.6046381829612202, + "learning_rate": 4.279702693134569e-07, + "loss": 0.7549, + "step": 38598 + }, + { + "epoch": 0.91, + "grad_norm": 1.9856639536895155, + "learning_rate": 4.277494597709131e-07, + "loss": 0.8405, + "step": 38599 + }, + { + "epoch": 0.91, + "grad_norm": 1.9716428068180172, + "learning_rate": 4.2752870596104446e-07, + "loss": 0.9135, + "step": 38600 + }, + { + "epoch": 0.91, + "grad_norm": 1.601733906462651, + "learning_rate": 4.273080078851333e-07, + "loss": 0.7491, + "step": 38601 + }, + { + "epoch": 0.91, + "grad_norm": 0.7380879855586513, + "learning_rate": 4.270873655444652e-07, + "loss": 0.6624, + "step": 38602 + }, + { + "epoch": 0.91, + "grad_norm": 1.642372904320335, + "learning_rate": 4.268667789403247e-07, + "loss": 0.8587, + "step": 38603 + }, + { + "epoch": 0.91, + "grad_norm": 0.7829914509670605, + "learning_rate": 4.2664624807399857e-07, + "loss": 0.7054, + "step": 38604 + }, + { + "epoch": 0.91, + "grad_norm": 1.6005557114773996, + "learning_rate": 4.264257729467691e-07, + "loss": 0.964, + "step": 38605 + }, + { + "epoch": 0.91, + "grad_norm": 1.8543685666264198, + "learning_rate": 4.2620535355991756e-07, + "loss": 0.8103, + "step": 38606 + }, + { + "epoch": 0.91, + "grad_norm": 1.5390746103605413, + "learning_rate": 4.2598498991473057e-07, + "loss": 0.7876, + "step": 38607 + }, + { + "epoch": 0.91, + "grad_norm": 1.5007364610611744, + "learning_rate": 4.2576468201248946e-07, + "loss": 0.9688, + "step": 38608 + }, + { + "epoch": 0.91, + "grad_norm": 1.7169208026540985, + "learning_rate": 4.2554442985447864e-07, + "loss": 0.6686, + "step": 38609 + }, + { + "epoch": 0.91, + "grad_norm": 1.5810810848109431, + "learning_rate": 4.2532423344197825e-07, + "loss": 0.8266, + "step": 38610 + }, + { + "epoch": 0.91, + "grad_norm": 2.067695538684126, + "learning_rate": 4.2510409277627174e-07, + "loss": 0.8719, + "step": 38611 + }, + { + "epoch": 0.91, + "grad_norm": 2.0745846793664713, + "learning_rate": 4.2488400785864027e-07, + "loss": 0.7893, + "step": 38612 + }, + { + "epoch": 0.91, + "grad_norm": 1.9468910716665773, + "learning_rate": 4.2466397869036724e-07, + "loss": 0.6891, + "step": 38613 + }, + { + "epoch": 0.91, + "grad_norm": 1.6941895996304173, + "learning_rate": 4.2444400527273056e-07, + "loss": 0.9016, + "step": 38614 + }, + { + "epoch": 0.91, + "grad_norm": 1.645130757293772, + "learning_rate": 4.2422408760701253e-07, + "loss": 0.9454, + "step": 38615 + }, + { + "epoch": 0.91, + "grad_norm": 0.7357305179414297, + "learning_rate": 4.240042256944932e-07, + "loss": 0.6991, + "step": 38616 + }, + { + "epoch": 0.91, + "grad_norm": 1.7701260479085308, + "learning_rate": 4.2378441953645375e-07, + "loss": 0.7733, + "step": 38617 + }, + { + "epoch": 0.91, + "grad_norm": 0.7916275177339891, + "learning_rate": 4.2356466913417326e-07, + "loss": 0.7262, + "step": 38618 + }, + { + "epoch": 0.91, + "grad_norm": 1.806371690283769, + "learning_rate": 4.233449744889295e-07, + "loss": 0.7581, + "step": 38619 + }, + { + "epoch": 0.91, + "grad_norm": 1.735855307205015, + "learning_rate": 4.2312533560200376e-07, + "loss": 0.777, + "step": 38620 + }, + { + "epoch": 0.91, + "grad_norm": 1.5613827870542667, + "learning_rate": 4.22905752474676e-07, + "loss": 0.8162, + "step": 38621 + }, + { + "epoch": 0.91, + "grad_norm": 1.85872888070316, + "learning_rate": 4.226862251082231e-07, + "loss": 0.7651, + "step": 38622 + }, + { + "epoch": 0.91, + "grad_norm": 1.5975714810565906, + "learning_rate": 4.224667535039206e-07, + "loss": 0.895, + "step": 38623 + }, + { + "epoch": 0.91, + "grad_norm": 2.0060946302842737, + "learning_rate": 4.222473376630498e-07, + "loss": 0.7631, + "step": 38624 + }, + { + "epoch": 0.91, + "grad_norm": 1.7231989950497189, + "learning_rate": 4.2202797758688853e-07, + "loss": 0.7958, + "step": 38625 + }, + { + "epoch": 0.91, + "grad_norm": 1.5046968846702171, + "learning_rate": 4.2180867327671237e-07, + "loss": 0.7916, + "step": 38626 + }, + { + "epoch": 0.91, + "grad_norm": 1.5540261653715726, + "learning_rate": 4.2158942473379706e-07, + "loss": 0.8816, + "step": 38627 + }, + { + "epoch": 0.91, + "grad_norm": 1.4681575912537799, + "learning_rate": 4.2137023195942264e-07, + "loss": 0.8639, + "step": 38628 + }, + { + "epoch": 0.91, + "grad_norm": 1.5851977590653097, + "learning_rate": 4.211510949548614e-07, + "loss": 0.7674, + "step": 38629 + }, + { + "epoch": 0.91, + "grad_norm": 1.7593527271052916, + "learning_rate": 4.209320137213924e-07, + "loss": 0.7882, + "step": 38630 + }, + { + "epoch": 0.91, + "grad_norm": 1.6297667658036437, + "learning_rate": 4.2071298826028894e-07, + "loss": 0.7836, + "step": 38631 + }, + { + "epoch": 0.91, + "grad_norm": 0.8301494107596227, + "learning_rate": 4.204940185728279e-07, + "loss": 0.6628, + "step": 38632 + }, + { + "epoch": 0.91, + "grad_norm": 1.6313461338777984, + "learning_rate": 4.2027510466028265e-07, + "loss": 0.9099, + "step": 38633 + }, + { + "epoch": 0.91, + "grad_norm": 1.7267870834996741, + "learning_rate": 4.2005624652392996e-07, + "loss": 0.8341, + "step": 38634 + }, + { + "epoch": 0.91, + "grad_norm": 1.7804231124322902, + "learning_rate": 4.1983744416504323e-07, + "loss": 0.7505, + "step": 38635 + }, + { + "epoch": 0.91, + "grad_norm": 1.8189669849307761, + "learning_rate": 4.196186975848937e-07, + "loss": 0.9311, + "step": 38636 + }, + { + "epoch": 0.91, + "grad_norm": 1.5547544553161265, + "learning_rate": 4.19400006784757e-07, + "loss": 0.8533, + "step": 38637 + }, + { + "epoch": 0.91, + "grad_norm": 1.5346680185880541, + "learning_rate": 4.1918137176590876e-07, + "loss": 0.8579, + "step": 38638 + }, + { + "epoch": 0.91, + "grad_norm": 1.5584217971733172, + "learning_rate": 4.189627925296202e-07, + "loss": 0.8309, + "step": 38639 + }, + { + "epoch": 0.91, + "grad_norm": 1.6360098239097824, + "learning_rate": 4.187442690771615e-07, + "loss": 0.8546, + "step": 38640 + }, + { + "epoch": 0.91, + "grad_norm": 1.603642617976196, + "learning_rate": 4.18525801409807e-07, + "loss": 0.8884, + "step": 38641 + }, + { + "epoch": 0.91, + "grad_norm": 1.67958269144009, + "learning_rate": 4.183073895288303e-07, + "loss": 0.8151, + "step": 38642 + }, + { + "epoch": 0.91, + "grad_norm": 1.593077017252534, + "learning_rate": 4.1808903343550145e-07, + "loss": 0.9081, + "step": 38643 + }, + { + "epoch": 0.91, + "grad_norm": 1.7717917141807038, + "learning_rate": 4.178707331310905e-07, + "loss": 0.7903, + "step": 38644 + }, + { + "epoch": 0.91, + "grad_norm": 1.7519418622608294, + "learning_rate": 4.176524886168698e-07, + "loss": 0.7537, + "step": 38645 + }, + { + "epoch": 0.91, + "grad_norm": 1.9714153721606764, + "learning_rate": 4.1743429989411054e-07, + "loss": 0.8088, + "step": 38646 + }, + { + "epoch": 0.91, + "grad_norm": 1.6187485796094727, + "learning_rate": 4.1721616696408394e-07, + "loss": 0.859, + "step": 38647 + }, + { + "epoch": 0.91, + "grad_norm": 1.389640769548633, + "learning_rate": 4.169980898280568e-07, + "loss": 0.798, + "step": 38648 + }, + { + "epoch": 0.91, + "grad_norm": 2.5093032647354927, + "learning_rate": 4.167800684873013e-07, + "loss": 0.7448, + "step": 38649 + }, + { + "epoch": 0.91, + "grad_norm": 1.4115828247401794, + "learning_rate": 4.165621029430855e-07, + "loss": 0.7586, + "step": 38650 + }, + { + "epoch": 0.91, + "grad_norm": 2.388239880186425, + "learning_rate": 4.1634419319668163e-07, + "loss": 0.7763, + "step": 38651 + }, + { + "epoch": 0.91, + "grad_norm": 1.522112947319442, + "learning_rate": 4.1612633924935307e-07, + "loss": 0.7791, + "step": 38652 + }, + { + "epoch": 0.91, + "grad_norm": 1.4823017018054796, + "learning_rate": 4.1590854110237333e-07, + "loss": 0.8701, + "step": 38653 + }, + { + "epoch": 0.91, + "grad_norm": 1.7636537825047436, + "learning_rate": 4.156907987570069e-07, + "loss": 0.8586, + "step": 38654 + }, + { + "epoch": 0.91, + "grad_norm": 0.7240501319582152, + "learning_rate": 4.154731122145228e-07, + "loss": 0.6954, + "step": 38655 + }, + { + "epoch": 0.91, + "grad_norm": 2.253574627287512, + "learning_rate": 4.152554814761911e-07, + "loss": 0.858, + "step": 38656 + }, + { + "epoch": 0.91, + "grad_norm": 1.7517551284288173, + "learning_rate": 4.1503790654327414e-07, + "loss": 0.7466, + "step": 38657 + }, + { + "epoch": 0.91, + "grad_norm": 1.863613791095082, + "learning_rate": 4.148203874170409e-07, + "loss": 0.7973, + "step": 38658 + }, + { + "epoch": 0.91, + "grad_norm": 1.43863040543446, + "learning_rate": 4.1460292409875815e-07, + "loss": 0.7459, + "step": 38659 + }, + { + "epoch": 0.91, + "grad_norm": 1.6241626911157483, + "learning_rate": 4.1438551658969484e-07, + "loss": 0.7299, + "step": 38660 + }, + { + "epoch": 0.91, + "grad_norm": 1.650615775234376, + "learning_rate": 4.1416816489111e-07, + "loss": 0.8246, + "step": 38661 + }, + { + "epoch": 0.91, + "grad_norm": 1.7463783662344623, + "learning_rate": 4.139508690042737e-07, + "loss": 0.7186, + "step": 38662 + }, + { + "epoch": 0.91, + "grad_norm": 1.6801665841294042, + "learning_rate": 4.137336289304517e-07, + "loss": 0.8305, + "step": 38663 + }, + { + "epoch": 0.91, + "grad_norm": 1.6236261712641924, + "learning_rate": 4.1351644467090614e-07, + "loss": 0.8022, + "step": 38664 + }, + { + "epoch": 0.91, + "grad_norm": 1.5374439942709728, + "learning_rate": 4.132993162269039e-07, + "loss": 0.6815, + "step": 38665 + }, + { + "epoch": 0.91, + "grad_norm": 1.719757540338926, + "learning_rate": 4.130822435997073e-07, + "loss": 0.7694, + "step": 38666 + }, + { + "epoch": 0.91, + "grad_norm": 1.5456696316025091, + "learning_rate": 4.128652267905819e-07, + "loss": 0.866, + "step": 38667 + }, + { + "epoch": 0.91, + "grad_norm": 1.7134558474092847, + "learning_rate": 4.126482658007891e-07, + "loss": 0.8471, + "step": 38668 + }, + { + "epoch": 0.91, + "grad_norm": 1.5841069852036282, + "learning_rate": 4.124313606315955e-07, + "loss": 0.8481, + "step": 38669 + }, + { + "epoch": 0.91, + "grad_norm": 0.7415345222875169, + "learning_rate": 4.1221451128426014e-07, + "loss": 0.6856, + "step": 38670 + }, + { + "epoch": 0.91, + "grad_norm": 1.5792754599814183, + "learning_rate": 4.119977177600476e-07, + "loss": 0.7896, + "step": 38671 + }, + { + "epoch": 0.91, + "grad_norm": 1.6628799646051036, + "learning_rate": 4.117809800602202e-07, + "loss": 0.7349, + "step": 38672 + }, + { + "epoch": 0.91, + "grad_norm": 1.729824606349566, + "learning_rate": 4.11564298186039e-07, + "loss": 0.8716, + "step": 38673 + }, + { + "epoch": 0.91, + "grad_norm": 1.6313340276561616, + "learning_rate": 4.113476721387677e-07, + "loss": 0.799, + "step": 38674 + }, + { + "epoch": 0.91, + "grad_norm": 1.413645252277906, + "learning_rate": 4.11131101919664e-07, + "loss": 0.8722, + "step": 38675 + }, + { + "epoch": 0.91, + "grad_norm": 1.5620818197666742, + "learning_rate": 4.1091458752999136e-07, + "loss": 0.845, + "step": 38676 + }, + { + "epoch": 0.91, + "grad_norm": 1.5922812127425976, + "learning_rate": 4.106981289710099e-07, + "loss": 0.7398, + "step": 38677 + }, + { + "epoch": 0.91, + "grad_norm": 1.729834944054773, + "learning_rate": 4.104817262439809e-07, + "loss": 0.8292, + "step": 38678 + }, + { + "epoch": 0.91, + "grad_norm": 2.6445194411445523, + "learning_rate": 4.102653793501621e-07, + "loss": 0.8679, + "step": 38679 + }, + { + "epoch": 0.91, + "grad_norm": 1.5126124932537162, + "learning_rate": 4.100490882908137e-07, + "loss": 0.7944, + "step": 38680 + }, + { + "epoch": 0.91, + "grad_norm": 1.7518682636890417, + "learning_rate": 4.098328530671969e-07, + "loss": 0.9007, + "step": 38681 + }, + { + "epoch": 0.91, + "grad_norm": 1.9675771985161647, + "learning_rate": 4.0961667368056957e-07, + "loss": 0.767, + "step": 38682 + }, + { + "epoch": 0.91, + "grad_norm": 1.9452655199463629, + "learning_rate": 4.094005501321896e-07, + "loss": 0.8649, + "step": 38683 + }, + { + "epoch": 0.91, + "grad_norm": 0.7477842626616085, + "learning_rate": 4.09184482423316e-07, + "loss": 0.7154, + "step": 38684 + }, + { + "epoch": 0.91, + "grad_norm": 0.779070843030663, + "learning_rate": 4.089684705552066e-07, + "loss": 0.734, + "step": 38685 + }, + { + "epoch": 0.91, + "grad_norm": 1.449627151156367, + "learning_rate": 4.087525145291205e-07, + "loss": 0.8042, + "step": 38686 + }, + { + "epoch": 0.91, + "grad_norm": 1.5102704261082243, + "learning_rate": 4.085366143463121e-07, + "loss": 0.6185, + "step": 38687 + }, + { + "epoch": 0.91, + "grad_norm": 1.5186968246824004, + "learning_rate": 4.083207700080416e-07, + "loss": 0.8066, + "step": 38688 + }, + { + "epoch": 0.91, + "grad_norm": 1.8530460963286672, + "learning_rate": 4.0810498151556246e-07, + "loss": 0.7902, + "step": 38689 + }, + { + "epoch": 0.91, + "grad_norm": 1.7778195305028306, + "learning_rate": 4.078892488701347e-07, + "loss": 0.7459, + "step": 38690 + }, + { + "epoch": 0.91, + "grad_norm": 1.582136611461743, + "learning_rate": 4.0767357207301073e-07, + "loss": 0.8085, + "step": 38691 + }, + { + "epoch": 0.91, + "grad_norm": 1.7845444332202638, + "learning_rate": 4.074579511254495e-07, + "loss": 0.8834, + "step": 38692 + }, + { + "epoch": 0.91, + "grad_norm": 1.483974605873255, + "learning_rate": 4.072423860287045e-07, + "loss": 0.7075, + "step": 38693 + }, + { + "epoch": 0.91, + "grad_norm": 1.5434985295539487, + "learning_rate": 4.070268767840324e-07, + "loss": 0.7527, + "step": 38694 + }, + { + "epoch": 0.91, + "grad_norm": 1.6838409580015, + "learning_rate": 4.0681142339268564e-07, + "loss": 0.7479, + "step": 38695 + }, + { + "epoch": 0.91, + "grad_norm": 1.6011176375546707, + "learning_rate": 4.0659602585591984e-07, + "loss": 0.9035, + "step": 38696 + }, + { + "epoch": 0.91, + "grad_norm": 1.6694720736398188, + "learning_rate": 4.0638068417498955e-07, + "loss": 0.7719, + "step": 38697 + }, + { + "epoch": 0.91, + "grad_norm": 1.5960501894705077, + "learning_rate": 4.0616539835114823e-07, + "loss": 0.8459, + "step": 38698 + }, + { + "epoch": 0.91, + "grad_norm": 1.6040177525941686, + "learning_rate": 4.059501683856504e-07, + "loss": 0.9166, + "step": 38699 + }, + { + "epoch": 0.91, + "grad_norm": 1.7302946195726574, + "learning_rate": 4.0573499427974616e-07, + "loss": 0.8854, + "step": 38700 + }, + { + "epoch": 0.91, + "grad_norm": 1.5147661269488326, + "learning_rate": 4.055198760346901e-07, + "loss": 0.7821, + "step": 38701 + }, + { + "epoch": 0.91, + "grad_norm": 1.5932989418999135, + "learning_rate": 4.053048136517368e-07, + "loss": 0.8738, + "step": 38702 + }, + { + "epoch": 0.91, + "grad_norm": 1.4789575832504667, + "learning_rate": 4.050898071321363e-07, + "loss": 0.7122, + "step": 38703 + }, + { + "epoch": 0.91, + "grad_norm": 1.960440406298516, + "learning_rate": 4.048748564771399e-07, + "loss": 0.9189, + "step": 38704 + }, + { + "epoch": 0.91, + "grad_norm": 1.526878316543331, + "learning_rate": 4.046599616879987e-07, + "loss": 0.8191, + "step": 38705 + }, + { + "epoch": 0.91, + "grad_norm": 1.693803971684796, + "learning_rate": 4.044451227659674e-07, + "loss": 0.8011, + "step": 38706 + }, + { + "epoch": 0.91, + "grad_norm": 1.5892485823265972, + "learning_rate": 4.0423033971229375e-07, + "loss": 0.8489, + "step": 38707 + }, + { + "epoch": 0.91, + "grad_norm": 1.6449339789687725, + "learning_rate": 4.0401561252822796e-07, + "loss": 0.7858, + "step": 38708 + }, + { + "epoch": 0.91, + "grad_norm": 1.5416550595790908, + "learning_rate": 4.0380094121502236e-07, + "loss": 0.777, + "step": 38709 + }, + { + "epoch": 0.91, + "grad_norm": 1.664833244571994, + "learning_rate": 4.035863257739248e-07, + "loss": 0.8082, + "step": 38710 + }, + { + "epoch": 0.91, + "grad_norm": 1.7241456353278302, + "learning_rate": 4.0337176620618756e-07, + "loss": 0.8402, + "step": 38711 + }, + { + "epoch": 0.91, + "grad_norm": 1.8460388140238468, + "learning_rate": 4.031572625130564e-07, + "loss": 0.8036, + "step": 38712 + }, + { + "epoch": 0.91, + "grad_norm": 5.901942109030208, + "learning_rate": 4.0294281469578364e-07, + "loss": 0.8042, + "step": 38713 + }, + { + "epoch": 0.91, + "grad_norm": 0.7517194528445472, + "learning_rate": 4.0272842275561385e-07, + "loss": 0.6955, + "step": 38714 + }, + { + "epoch": 0.91, + "grad_norm": 1.5685153897834347, + "learning_rate": 4.025140866937993e-07, + "loss": 0.9619, + "step": 38715 + }, + { + "epoch": 0.91, + "grad_norm": 1.590972932568192, + "learning_rate": 4.0229980651158686e-07, + "loss": 0.8622, + "step": 38716 + }, + { + "epoch": 0.91, + "grad_norm": 3.327425772214256, + "learning_rate": 4.020855822102221e-07, + "loss": 0.8548, + "step": 38717 + }, + { + "epoch": 0.91, + "grad_norm": 1.6822247505219752, + "learning_rate": 4.0187141379095294e-07, + "loss": 0.8061, + "step": 38718 + }, + { + "epoch": 0.91, + "grad_norm": 1.5203416028501093, + "learning_rate": 4.0165730125502956e-07, + "loss": 0.8161, + "step": 38719 + }, + { + "epoch": 0.91, + "grad_norm": 1.7245338276981717, + "learning_rate": 4.0144324460369535e-07, + "loss": 0.7341, + "step": 38720 + }, + { + "epoch": 0.91, + "grad_norm": 1.7277040145394142, + "learning_rate": 4.012292438381971e-07, + "loss": 0.8526, + "step": 38721 + }, + { + "epoch": 0.91, + "grad_norm": 1.5442656905876886, + "learning_rate": 4.010152989597804e-07, + "loss": 0.6824, + "step": 38722 + }, + { + "epoch": 0.91, + "grad_norm": 1.533934119095017, + "learning_rate": 4.008014099696922e-07, + "loss": 0.8487, + "step": 38723 + }, + { + "epoch": 0.91, + "grad_norm": 1.5065169538747547, + "learning_rate": 4.0058757686917805e-07, + "loss": 0.7885, + "step": 38724 + }, + { + "epoch": 0.91, + "grad_norm": 1.5341131884460706, + "learning_rate": 4.003737996594803e-07, + "loss": 0.763, + "step": 38725 + }, + { + "epoch": 0.91, + "grad_norm": 1.618361530189871, + "learning_rate": 4.001600783418469e-07, + "loss": 0.8938, + "step": 38726 + }, + { + "epoch": 0.91, + "grad_norm": 1.6115780095304473, + "learning_rate": 3.999464129175201e-07, + "loss": 0.7899, + "step": 38727 + }, + { + "epoch": 0.91, + "grad_norm": 1.7387196536490694, + "learning_rate": 3.997328033877457e-07, + "loss": 0.7432, + "step": 38728 + }, + { + "epoch": 0.91, + "grad_norm": 0.7456619605909318, + "learning_rate": 3.995192497537659e-07, + "loss": 0.6704, + "step": 38729 + }, + { + "epoch": 0.91, + "grad_norm": 1.693583178418717, + "learning_rate": 3.993057520168242e-07, + "loss": 0.9209, + "step": 38730 + }, + { + "epoch": 0.91, + "grad_norm": 1.6971356812656455, + "learning_rate": 3.99092310178163e-07, + "loss": 0.8033, + "step": 38731 + }, + { + "epoch": 0.91, + "grad_norm": 1.4102524069692977, + "learning_rate": 3.988789242390279e-07, + "loss": 0.7851, + "step": 38732 + }, + { + "epoch": 0.91, + "grad_norm": 2.278770801307642, + "learning_rate": 3.986655942006579e-07, + "loss": 0.8098, + "step": 38733 + }, + { + "epoch": 0.91, + "grad_norm": 1.611010735475056, + "learning_rate": 3.9845232006429755e-07, + "loss": 0.8559, + "step": 38734 + }, + { + "epoch": 0.91, + "grad_norm": 1.944093671183058, + "learning_rate": 3.98239101831186e-07, + "loss": 0.887, + "step": 38735 + }, + { + "epoch": 0.91, + "grad_norm": 1.6884262103377219, + "learning_rate": 3.9802593950256875e-07, + "loss": 0.9658, + "step": 38736 + }, + { + "epoch": 0.91, + "grad_norm": 2.3576125711135205, + "learning_rate": 3.9781283307968266e-07, + "loss": 0.8167, + "step": 38737 + }, + { + "epoch": 0.91, + "grad_norm": 1.484651420957775, + "learning_rate": 3.9759978256377006e-07, + "loss": 0.8114, + "step": 38738 + }, + { + "epoch": 0.91, + "grad_norm": 1.4964714369779974, + "learning_rate": 3.973867879560722e-07, + "loss": 0.7846, + "step": 38739 + }, + { + "epoch": 0.91, + "grad_norm": 0.766220926191087, + "learning_rate": 3.9717384925782697e-07, + "loss": 0.6922, + "step": 38740 + }, + { + "epoch": 0.91, + "grad_norm": 1.5295828173086388, + "learning_rate": 3.9696096647028004e-07, + "loss": 0.8343, + "step": 38741 + }, + { + "epoch": 0.91, + "grad_norm": 1.6018845522393619, + "learning_rate": 3.9674813959466263e-07, + "loss": 0.9155, + "step": 38742 + }, + { + "epoch": 0.91, + "grad_norm": 1.593995825950233, + "learning_rate": 3.965353686322193e-07, + "loss": 0.865, + "step": 38743 + }, + { + "epoch": 0.91, + "grad_norm": 1.996456011538213, + "learning_rate": 3.9632265358418796e-07, + "loss": 0.7628, + "step": 38744 + }, + { + "epoch": 0.91, + "grad_norm": 1.4957045258205761, + "learning_rate": 3.961099944518065e-07, + "loss": 0.714, + "step": 38745 + }, + { + "epoch": 0.91, + "grad_norm": 0.7600013066582962, + "learning_rate": 3.9589739123631177e-07, + "loss": 0.6905, + "step": 38746 + }, + { + "epoch": 0.91, + "grad_norm": 1.783862866278725, + "learning_rate": 3.956848439389427e-07, + "loss": 0.7397, + "step": 38747 + }, + { + "epoch": 0.91, + "grad_norm": 2.722157249835854, + "learning_rate": 3.954723525609394e-07, + "loss": 0.8495, + "step": 38748 + }, + { + "epoch": 0.91, + "grad_norm": 1.470265632523063, + "learning_rate": 3.952599171035365e-07, + "loss": 0.8162, + "step": 38749 + }, + { + "epoch": 0.91, + "grad_norm": 1.896697333661784, + "learning_rate": 3.950475375679697e-07, + "loss": 0.8584, + "step": 38750 + }, + { + "epoch": 0.91, + "grad_norm": 1.6121592983567714, + "learning_rate": 3.9483521395547895e-07, + "loss": 0.7164, + "step": 38751 + }, + { + "epoch": 0.91, + "grad_norm": 1.6459372706060145, + "learning_rate": 3.946229462672957e-07, + "loss": 0.8186, + "step": 38752 + }, + { + "epoch": 0.91, + "grad_norm": 1.818742074462186, + "learning_rate": 3.9441073450465997e-07, + "loss": 0.9254, + "step": 38753 + }, + { + "epoch": 0.91, + "grad_norm": 0.8203868060822705, + "learning_rate": 3.941985786688074e-07, + "loss": 0.7062, + "step": 38754 + }, + { + "epoch": 0.91, + "grad_norm": 2.699101973413667, + "learning_rate": 3.939864787609715e-07, + "loss": 0.8201, + "step": 38755 + }, + { + "epoch": 0.91, + "grad_norm": 1.3190839186023102, + "learning_rate": 3.9377443478238575e-07, + "loss": 0.7103, + "step": 38756 + }, + { + "epoch": 0.91, + "grad_norm": 1.7204498016658558, + "learning_rate": 3.935624467342869e-07, + "loss": 0.7411, + "step": 38757 + }, + { + "epoch": 0.91, + "grad_norm": 1.5823825600647967, + "learning_rate": 3.933505146179117e-07, + "loss": 0.7482, + "step": 38758 + }, + { + "epoch": 0.91, + "grad_norm": 1.5666871131020477, + "learning_rate": 3.9313863843448817e-07, + "loss": 0.7421, + "step": 38759 + }, + { + "epoch": 0.91, + "grad_norm": 2.074320266657498, + "learning_rate": 3.92926818185253e-07, + "loss": 0.9493, + "step": 38760 + }, + { + "epoch": 0.91, + "grad_norm": 1.5471284958829108, + "learning_rate": 3.927150538714397e-07, + "loss": 0.7517, + "step": 38761 + }, + { + "epoch": 0.91, + "grad_norm": 1.7083406953126326, + "learning_rate": 3.925033454942828e-07, + "loss": 0.704, + "step": 38762 + }, + { + "epoch": 0.91, + "grad_norm": 1.827569248438599, + "learning_rate": 3.922916930550125e-07, + "loss": 0.7834, + "step": 38763 + }, + { + "epoch": 0.91, + "grad_norm": 1.5832179248582432, + "learning_rate": 3.920800965548599e-07, + "loss": 0.8082, + "step": 38764 + }, + { + "epoch": 0.91, + "grad_norm": 1.7059052944895572, + "learning_rate": 3.9186855599506077e-07, + "loss": 0.792, + "step": 38765 + }, + { + "epoch": 0.91, + "grad_norm": 2.101648858611632, + "learning_rate": 3.916570713768442e-07, + "loss": 0.7481, + "step": 38766 + }, + { + "epoch": 0.91, + "grad_norm": 1.6553512012028415, + "learning_rate": 3.914456427014424e-07, + "loss": 0.896, + "step": 38767 + }, + { + "epoch": 0.91, + "grad_norm": 1.5273226259144577, + "learning_rate": 3.912342699700844e-07, + "loss": 0.7103, + "step": 38768 + }, + { + "epoch": 0.91, + "grad_norm": 1.5051005778434257, + "learning_rate": 3.9102295318400487e-07, + "loss": 0.8606, + "step": 38769 + }, + { + "epoch": 0.91, + "grad_norm": 1.8212866893067634, + "learning_rate": 3.908116923444294e-07, + "loss": 0.8048, + "step": 38770 + }, + { + "epoch": 0.91, + "grad_norm": 1.8450575122940425, + "learning_rate": 3.906004874525926e-07, + "loss": 0.6905, + "step": 38771 + }, + { + "epoch": 0.91, + "grad_norm": 2.015420176049182, + "learning_rate": 3.903893385097224e-07, + "loss": 0.8629, + "step": 38772 + }, + { + "epoch": 0.91, + "grad_norm": 1.5902565945214957, + "learning_rate": 3.9017824551704554e-07, + "loss": 0.7657, + "step": 38773 + }, + { + "epoch": 0.91, + "grad_norm": 1.7145934901236248, + "learning_rate": 3.8996720847579437e-07, + "loss": 0.874, + "step": 38774 + }, + { + "epoch": 0.91, + "grad_norm": 1.649441733715403, + "learning_rate": 3.8975622738719685e-07, + "loss": 0.8579, + "step": 38775 + }, + { + "epoch": 0.91, + "grad_norm": 1.6036518477892472, + "learning_rate": 3.89545302252482e-07, + "loss": 0.8493, + "step": 38776 + }, + { + "epoch": 0.91, + "grad_norm": 2.066291542606889, + "learning_rate": 3.893344330728754e-07, + "loss": 0.8098, + "step": 38777 + }, + { + "epoch": 0.91, + "grad_norm": 1.7719653237959267, + "learning_rate": 3.891236198496062e-07, + "loss": 0.7219, + "step": 38778 + }, + { + "epoch": 0.91, + "grad_norm": 1.516622812059461, + "learning_rate": 3.889128625839034e-07, + "loss": 0.813, + "step": 38779 + }, + { + "epoch": 0.91, + "grad_norm": 1.5158386690880454, + "learning_rate": 3.887021612769937e-07, + "loss": 0.7387, + "step": 38780 + }, + { + "epoch": 0.91, + "grad_norm": 1.6556849085353402, + "learning_rate": 3.884915159301006e-07, + "loss": 0.9215, + "step": 38781 + }, + { + "epoch": 0.91, + "grad_norm": 0.7647280079966106, + "learning_rate": 3.8828092654445314e-07, + "loss": 0.7156, + "step": 38782 + }, + { + "epoch": 0.91, + "grad_norm": 1.4591758507748471, + "learning_rate": 3.8807039312127813e-07, + "loss": 0.6949, + "step": 38783 + }, + { + "epoch": 0.91, + "grad_norm": 1.6447089451002148, + "learning_rate": 3.8785991566180017e-07, + "loss": 0.9486, + "step": 38784 + }, + { + "epoch": 0.91, + "grad_norm": 1.6917433138731957, + "learning_rate": 3.876494941672437e-07, + "loss": 0.8162, + "step": 38785 + }, + { + "epoch": 0.91, + "grad_norm": 1.6163235036684205, + "learning_rate": 3.874391286388368e-07, + "loss": 0.866, + "step": 38786 + }, + { + "epoch": 0.91, + "grad_norm": 2.2928800779484515, + "learning_rate": 3.8722881907780173e-07, + "loss": 0.7916, + "step": 38787 + }, + { + "epoch": 0.91, + "grad_norm": 0.7462474141226055, + "learning_rate": 3.870185654853642e-07, + "loss": 0.6473, + "step": 38788 + }, + { + "epoch": 0.91, + "grad_norm": 1.4254321403732026, + "learning_rate": 3.8680836786274764e-07, + "loss": 0.8504, + "step": 38789 + }, + { + "epoch": 0.91, + "grad_norm": 1.5626683305242204, + "learning_rate": 3.865982262111767e-07, + "loss": 0.8022, + "step": 38790 + }, + { + "epoch": 0.91, + "grad_norm": 1.5394168797647028, + "learning_rate": 3.863881405318737e-07, + "loss": 0.8053, + "step": 38791 + }, + { + "epoch": 0.91, + "grad_norm": 2.2770526885651137, + "learning_rate": 3.8617811082606317e-07, + "loss": 0.7272, + "step": 38792 + }, + { + "epoch": 0.91, + "grad_norm": 1.6441311289670422, + "learning_rate": 3.859681370949664e-07, + "loss": 0.7761, + "step": 38793 + }, + { + "epoch": 0.91, + "grad_norm": 1.9424476367586851, + "learning_rate": 3.8575821933980906e-07, + "loss": 0.828, + "step": 38794 + }, + { + "epoch": 0.91, + "grad_norm": 2.861365224673824, + "learning_rate": 3.855483575618091e-07, + "loss": 0.8325, + "step": 38795 + }, + { + "epoch": 0.91, + "grad_norm": 1.503616141152231, + "learning_rate": 3.85338551762191e-07, + "loss": 0.8521, + "step": 38796 + }, + { + "epoch": 0.91, + "grad_norm": 0.7926373197255621, + "learning_rate": 3.851288019421773e-07, + "loss": 0.6727, + "step": 38797 + }, + { + "epoch": 0.91, + "grad_norm": 1.659479516905461, + "learning_rate": 3.8491910810298574e-07, + "loss": 0.679, + "step": 38798 + }, + { + "epoch": 0.91, + "grad_norm": 1.8669394065235922, + "learning_rate": 3.847094702458387e-07, + "loss": 0.8639, + "step": 38799 + }, + { + "epoch": 0.91, + "grad_norm": 0.7572799606429468, + "learning_rate": 3.8449988837195975e-07, + "loss": 0.6877, + "step": 38800 + }, + { + "epoch": 0.91, + "grad_norm": 1.9153116802422852, + "learning_rate": 3.842903624825656e-07, + "loss": 0.8385, + "step": 38801 + }, + { + "epoch": 0.91, + "grad_norm": 1.5980208869115076, + "learning_rate": 3.840808925788764e-07, + "loss": 0.7661, + "step": 38802 + }, + { + "epoch": 0.91, + "grad_norm": 1.7212101703324407, + "learning_rate": 3.838714786621123e-07, + "loss": 0.8281, + "step": 38803 + }, + { + "epoch": 0.91, + "grad_norm": 0.7462603104945107, + "learning_rate": 3.8366212073349453e-07, + "loss": 0.702, + "step": 38804 + }, + { + "epoch": 0.91, + "grad_norm": 1.6455292525578469, + "learning_rate": 3.834528187942399e-07, + "loss": 0.8773, + "step": 38805 + }, + { + "epoch": 0.91, + "grad_norm": 1.57656768701996, + "learning_rate": 3.8324357284556744e-07, + "loss": 0.875, + "step": 38806 + }, + { + "epoch": 0.91, + "grad_norm": 0.7549907627111389, + "learning_rate": 3.8303438288869397e-07, + "loss": 0.7023, + "step": 38807 + }, + { + "epoch": 0.91, + "grad_norm": 2.2585971125705435, + "learning_rate": 3.828252489248407e-07, + "loss": 0.7906, + "step": 38808 + }, + { + "epoch": 0.91, + "grad_norm": 1.708584723523837, + "learning_rate": 3.826161709552245e-07, + "loss": 0.7515, + "step": 38809 + }, + { + "epoch": 0.91, + "grad_norm": 1.7260721868627154, + "learning_rate": 3.824071489810599e-07, + "loss": 0.7448, + "step": 38810 + }, + { + "epoch": 0.91, + "grad_norm": 1.6337273760147384, + "learning_rate": 3.8219818300356706e-07, + "loss": 0.7972, + "step": 38811 + }, + { + "epoch": 0.91, + "grad_norm": 1.936063135475273, + "learning_rate": 3.819892730239594e-07, + "loss": 0.782, + "step": 38812 + }, + { + "epoch": 0.91, + "grad_norm": 1.3689218476544533, + "learning_rate": 3.817804190434571e-07, + "loss": 0.6765, + "step": 38813 + }, + { + "epoch": 0.91, + "grad_norm": 1.5293701699050162, + "learning_rate": 3.815716210632736e-07, + "loss": 0.7678, + "step": 38814 + }, + { + "epoch": 0.91, + "grad_norm": 1.8429844506253101, + "learning_rate": 3.813628790846258e-07, + "loss": 0.7914, + "step": 38815 + }, + { + "epoch": 0.91, + "grad_norm": 1.7328023671599349, + "learning_rate": 3.81154193108727e-07, + "loss": 0.887, + "step": 38816 + }, + { + "epoch": 0.91, + "grad_norm": 1.4943653733358981, + "learning_rate": 3.809455631367953e-07, + "loss": 0.7401, + "step": 38817 + }, + { + "epoch": 0.91, + "grad_norm": 0.8343816368419714, + "learning_rate": 3.807369891700441e-07, + "loss": 0.7545, + "step": 38818 + }, + { + "epoch": 0.91, + "grad_norm": 1.4174675546457642, + "learning_rate": 3.805284712096857e-07, + "loss": 0.7841, + "step": 38819 + }, + { + "epoch": 0.91, + "grad_norm": 0.790473683095816, + "learning_rate": 3.80320009256937e-07, + "loss": 0.7082, + "step": 38820 + }, + { + "epoch": 0.91, + "grad_norm": 1.7501631534240671, + "learning_rate": 3.8011160331301147e-07, + "loss": 0.8414, + "step": 38821 + }, + { + "epoch": 0.91, + "grad_norm": 2.4618075449104166, + "learning_rate": 3.7990325337912136e-07, + "loss": 0.8641, + "step": 38822 + }, + { + "epoch": 0.91, + "grad_norm": 1.5399089359431049, + "learning_rate": 3.7969495945647915e-07, + "loss": 0.7619, + "step": 38823 + }, + { + "epoch": 0.91, + "grad_norm": 1.9868393615374838, + "learning_rate": 3.794867215462994e-07, + "loss": 0.8293, + "step": 38824 + }, + { + "epoch": 0.91, + "grad_norm": 1.4843025836094914, + "learning_rate": 3.7927853964979443e-07, + "loss": 0.8872, + "step": 38825 + }, + { + "epoch": 0.91, + "grad_norm": 1.7899712907359542, + "learning_rate": 3.7907041376817554e-07, + "loss": 0.8643, + "step": 38826 + }, + { + "epoch": 0.91, + "grad_norm": 1.5178861589637627, + "learning_rate": 3.7886234390265286e-07, + "loss": 0.7288, + "step": 38827 + }, + { + "epoch": 0.91, + "grad_norm": 1.6047887565768795, + "learning_rate": 3.78654330054441e-07, + "loss": 0.7586, + "step": 38828 + }, + { + "epoch": 0.91, + "grad_norm": 1.5481194319836844, + "learning_rate": 3.7844637222475e-07, + "loss": 0.8596, + "step": 38829 + }, + { + "epoch": 0.91, + "grad_norm": 1.535046031993362, + "learning_rate": 3.782384704147901e-07, + "loss": 0.8242, + "step": 38830 + }, + { + "epoch": 0.91, + "grad_norm": 1.5603050641678313, + "learning_rate": 3.7803062462577147e-07, + "loss": 0.7374, + "step": 38831 + }, + { + "epoch": 0.91, + "grad_norm": 1.6104632074551677, + "learning_rate": 3.778228348589064e-07, + "loss": 0.7499, + "step": 38832 + }, + { + "epoch": 0.91, + "grad_norm": 1.5949701269679515, + "learning_rate": 3.7761510111540054e-07, + "loss": 0.9377, + "step": 38833 + }, + { + "epoch": 0.91, + "grad_norm": 1.6846790614477989, + "learning_rate": 3.774074233964686e-07, + "loss": 0.744, + "step": 38834 + }, + { + "epoch": 0.91, + "grad_norm": 2.5233406803620304, + "learning_rate": 3.7719980170331516e-07, + "loss": 0.7013, + "step": 38835 + }, + { + "epoch": 0.91, + "grad_norm": 0.7587491206217623, + "learning_rate": 3.769922360371525e-07, + "loss": 0.7361, + "step": 38836 + }, + { + "epoch": 0.91, + "grad_norm": 1.5515750854096766, + "learning_rate": 3.767847263991853e-07, + "loss": 0.8108, + "step": 38837 + }, + { + "epoch": 0.91, + "grad_norm": 1.525245987434025, + "learning_rate": 3.7657727279062585e-07, + "loss": 0.8809, + "step": 38838 + }, + { + "epoch": 0.92, + "grad_norm": 2.099867670450357, + "learning_rate": 3.7636987521268097e-07, + "loss": 0.717, + "step": 38839 + }, + { + "epoch": 0.92, + "grad_norm": 0.7694184755539654, + "learning_rate": 3.761625336665564e-07, + "loss": 0.7237, + "step": 38840 + }, + { + "epoch": 0.92, + "grad_norm": 1.3136393089712524, + "learning_rate": 3.759552481534601e-07, + "loss": 0.7311, + "step": 38841 + }, + { + "epoch": 0.92, + "grad_norm": 1.5860373468037765, + "learning_rate": 3.7574801867459877e-07, + "loss": 0.8753, + "step": 38842 + }, + { + "epoch": 0.92, + "grad_norm": 1.5926170021053196, + "learning_rate": 3.755408452311826e-07, + "loss": 0.8864, + "step": 38843 + }, + { + "epoch": 0.92, + "grad_norm": 1.6303146029556792, + "learning_rate": 3.753337278244118e-07, + "loss": 0.8298, + "step": 38844 + }, + { + "epoch": 0.92, + "grad_norm": 1.7043751553688873, + "learning_rate": 3.7512666645549533e-07, + "loss": 0.822, + "step": 38845 + }, + { + "epoch": 0.92, + "grad_norm": 1.460222443353159, + "learning_rate": 3.7491966112563893e-07, + "loss": 0.8564, + "step": 38846 + }, + { + "epoch": 0.92, + "grad_norm": 0.7614750332004069, + "learning_rate": 3.747127118360483e-07, + "loss": 0.7193, + "step": 38847 + }, + { + "epoch": 0.92, + "grad_norm": 1.771478786464291, + "learning_rate": 3.745058185879269e-07, + "loss": 0.9477, + "step": 38848 + }, + { + "epoch": 0.92, + "grad_norm": 2.1922933037981713, + "learning_rate": 3.7429898138247933e-07, + "loss": 0.7834, + "step": 38849 + }, + { + "epoch": 0.92, + "grad_norm": 1.5910739015809685, + "learning_rate": 3.740922002209113e-07, + "loss": 0.8827, + "step": 38850 + }, + { + "epoch": 0.92, + "grad_norm": 1.5724795962794575, + "learning_rate": 3.738854751044252e-07, + "loss": 0.8709, + "step": 38851 + }, + { + "epoch": 0.92, + "grad_norm": 1.9061382853165318, + "learning_rate": 3.736788060342267e-07, + "loss": 0.8423, + "step": 38852 + }, + { + "epoch": 0.92, + "grad_norm": 0.73995386292749, + "learning_rate": 3.7347219301151815e-07, + "loss": 0.6847, + "step": 38853 + }, + { + "epoch": 0.92, + "grad_norm": 1.504043349470462, + "learning_rate": 3.7326563603750085e-07, + "loss": 0.7864, + "step": 38854 + }, + { + "epoch": 0.92, + "grad_norm": 1.722507303362917, + "learning_rate": 3.7305913511337834e-07, + "loss": 0.8248, + "step": 38855 + }, + { + "epoch": 0.92, + "grad_norm": 4.752614511104108, + "learning_rate": 3.728526902403551e-07, + "loss": 0.792, + "step": 38856 + }, + { + "epoch": 0.92, + "grad_norm": 1.5261224828095676, + "learning_rate": 3.726463014196313e-07, + "loss": 0.7586, + "step": 38857 + }, + { + "epoch": 0.92, + "grad_norm": 1.5800759909275612, + "learning_rate": 3.724399686524072e-07, + "loss": 0.9994, + "step": 38858 + }, + { + "epoch": 0.92, + "grad_norm": 1.4435175225223453, + "learning_rate": 3.722336919398861e-07, + "loss": 0.8699, + "step": 38859 + }, + { + "epoch": 0.92, + "grad_norm": 1.808866219093435, + "learning_rate": 3.7202747128326943e-07, + "loss": 0.8345, + "step": 38860 + }, + { + "epoch": 0.92, + "grad_norm": 1.7086966643996795, + "learning_rate": 3.7182130668375726e-07, + "loss": 0.9089, + "step": 38861 + }, + { + "epoch": 0.92, + "grad_norm": 1.475394429944467, + "learning_rate": 3.7161519814254864e-07, + "loss": 0.8306, + "step": 38862 + }, + { + "epoch": 0.92, + "grad_norm": 1.4743578083617537, + "learning_rate": 3.7140914566084376e-07, + "loss": 0.7754, + "step": 38863 + }, + { + "epoch": 0.92, + "grad_norm": 1.6709557918601818, + "learning_rate": 3.712031492398449e-07, + "loss": 0.9045, + "step": 38864 + }, + { + "epoch": 0.92, + "grad_norm": 0.7671358745694036, + "learning_rate": 3.7099720888075006e-07, + "loss": 0.766, + "step": 38865 + }, + { + "epoch": 0.92, + "grad_norm": 1.402898043676994, + "learning_rate": 3.7079132458475606e-07, + "loss": 0.6632, + "step": 38866 + }, + { + "epoch": 0.92, + "grad_norm": 1.7173635800544866, + "learning_rate": 3.705854963530653e-07, + "loss": 0.8515, + "step": 38867 + }, + { + "epoch": 0.92, + "grad_norm": 1.661522625885908, + "learning_rate": 3.703797241868734e-07, + "loss": 0.8515, + "step": 38868 + }, + { + "epoch": 0.92, + "grad_norm": 1.4586168704281364, + "learning_rate": 3.7017400808737946e-07, + "loss": 0.8266, + "step": 38869 + }, + { + "epoch": 0.92, + "grad_norm": 1.6794511161057497, + "learning_rate": 3.699683480557814e-07, + "loss": 0.8266, + "step": 38870 + }, + { + "epoch": 0.92, + "grad_norm": 0.7663678634211132, + "learning_rate": 3.6976274409327717e-07, + "loss": 0.6714, + "step": 38871 + }, + { + "epoch": 0.92, + "grad_norm": 1.4964991037230015, + "learning_rate": 3.6955719620106135e-07, + "loss": 0.8777, + "step": 38872 + }, + { + "epoch": 0.92, + "grad_norm": 3.147398394684661, + "learning_rate": 3.693517043803341e-07, + "loss": 0.9231, + "step": 38873 + }, + { + "epoch": 0.92, + "grad_norm": 1.7728308609866656, + "learning_rate": 3.6914626863229e-07, + "loss": 0.8344, + "step": 38874 + }, + { + "epoch": 0.92, + "grad_norm": 0.7715799761340311, + "learning_rate": 3.689408889581247e-07, + "loss": 0.7134, + "step": 38875 + }, + { + "epoch": 0.92, + "grad_norm": 1.7514160590201189, + "learning_rate": 3.687355653590341e-07, + "loss": 0.8254, + "step": 38876 + }, + { + "epoch": 0.92, + "grad_norm": 1.712980284843317, + "learning_rate": 3.6853029783621596e-07, + "loss": 0.8433, + "step": 38877 + }, + { + "epoch": 0.92, + "grad_norm": 1.5986332977115918, + "learning_rate": 3.6832508639086386e-07, + "loss": 0.7819, + "step": 38878 + }, + { + "epoch": 0.92, + "grad_norm": 1.7493122550332876, + "learning_rate": 3.681199310241701e-07, + "loss": 0.9063, + "step": 38879 + }, + { + "epoch": 0.92, + "grad_norm": 1.6330528477727226, + "learning_rate": 3.6791483173733267e-07, + "loss": 0.9357, + "step": 38880 + }, + { + "epoch": 0.92, + "grad_norm": 1.5944633707806095, + "learning_rate": 3.67709788531545e-07, + "loss": 0.8721, + "step": 38881 + }, + { + "epoch": 0.92, + "grad_norm": 1.695665721597778, + "learning_rate": 3.675048014080007e-07, + "loss": 0.9213, + "step": 38882 + }, + { + "epoch": 0.92, + "grad_norm": 1.5913263680703809, + "learning_rate": 3.6729987036789205e-07, + "loss": 0.9454, + "step": 38883 + }, + { + "epoch": 0.92, + "grad_norm": 1.7842777664819713, + "learning_rate": 3.6709499541241367e-07, + "loss": 0.8704, + "step": 38884 + }, + { + "epoch": 0.92, + "grad_norm": 0.8318507928293203, + "learning_rate": 3.6689017654275905e-07, + "loss": 0.6718, + "step": 38885 + }, + { + "epoch": 0.92, + "grad_norm": 1.5100547438825127, + "learning_rate": 3.6668541376011836e-07, + "loss": 0.8106, + "step": 38886 + }, + { + "epoch": 0.92, + "grad_norm": 1.9831812551468968, + "learning_rate": 3.664807070656851e-07, + "loss": 0.8019, + "step": 38887 + }, + { + "epoch": 0.92, + "grad_norm": 1.5388106083496942, + "learning_rate": 3.6627605646065157e-07, + "loss": 0.8497, + "step": 38888 + }, + { + "epoch": 0.92, + "grad_norm": 1.752996216510332, + "learning_rate": 3.66071461946208e-07, + "loss": 0.7889, + "step": 38889 + }, + { + "epoch": 0.92, + "grad_norm": 1.7431902811672548, + "learning_rate": 3.6586692352354793e-07, + "loss": 0.8058, + "step": 38890 + }, + { + "epoch": 0.92, + "grad_norm": 1.6961948264316928, + "learning_rate": 3.656624411938592e-07, + "loss": 0.8238, + "step": 38891 + }, + { + "epoch": 0.92, + "grad_norm": 1.7588575544985878, + "learning_rate": 3.6545801495833534e-07, + "loss": 0.7804, + "step": 38892 + }, + { + "epoch": 0.92, + "grad_norm": 0.8088791656714305, + "learning_rate": 3.6525364481816315e-07, + "loss": 0.7444, + "step": 38893 + }, + { + "epoch": 0.92, + "grad_norm": 1.5603746283429583, + "learning_rate": 3.650493307745362e-07, + "loss": 0.9396, + "step": 38894 + }, + { + "epoch": 0.92, + "grad_norm": 1.6488666401502203, + "learning_rate": 3.6484507282864233e-07, + "loss": 0.7977, + "step": 38895 + }, + { + "epoch": 0.92, + "grad_norm": 1.7596363004792275, + "learning_rate": 3.646408709816707e-07, + "loss": 0.8536, + "step": 38896 + }, + { + "epoch": 0.92, + "grad_norm": 1.7346215507482527, + "learning_rate": 3.644367252348091e-07, + "loss": 0.8667, + "step": 38897 + }, + { + "epoch": 0.92, + "grad_norm": 2.7871570665989687, + "learning_rate": 3.6423263558924895e-07, + "loss": 0.7704, + "step": 38898 + }, + { + "epoch": 0.92, + "grad_norm": 1.734388084445497, + "learning_rate": 3.64028602046177e-07, + "loss": 0.8612, + "step": 38899 + }, + { + "epoch": 0.92, + "grad_norm": 1.6546256792665963, + "learning_rate": 3.6382462460678113e-07, + "loss": 0.7314, + "step": 38900 + }, + { + "epoch": 0.92, + "grad_norm": 1.7739781953860398, + "learning_rate": 3.636207032722483e-07, + "loss": 0.8589, + "step": 38901 + }, + { + "epoch": 0.92, + "grad_norm": 1.5840315976009367, + "learning_rate": 3.634168380437675e-07, + "loss": 0.8561, + "step": 38902 + }, + { + "epoch": 0.92, + "grad_norm": 1.6992385035495712, + "learning_rate": 3.632130289225244e-07, + "loss": 0.8445, + "step": 38903 + }, + { + "epoch": 0.92, + "grad_norm": 1.8970641638803336, + "learning_rate": 3.630092759097059e-07, + "loss": 0.8367, + "step": 38904 + }, + { + "epoch": 0.92, + "grad_norm": 1.5662702059663172, + "learning_rate": 3.628055790064977e-07, + "loss": 0.9449, + "step": 38905 + }, + { + "epoch": 0.92, + "grad_norm": 1.678260218236293, + "learning_rate": 3.6260193821408776e-07, + "loss": 0.8278, + "step": 38906 + }, + { + "epoch": 0.92, + "grad_norm": 1.8533429779782773, + "learning_rate": 3.623983535336606e-07, + "loss": 0.8886, + "step": 38907 + }, + { + "epoch": 0.92, + "grad_norm": 1.8098842354955045, + "learning_rate": 3.621948249663998e-07, + "loss": 0.7353, + "step": 38908 + }, + { + "epoch": 0.92, + "grad_norm": 1.5696894884136656, + "learning_rate": 3.6199135251349324e-07, + "loss": 0.7099, + "step": 38909 + }, + { + "epoch": 0.92, + "grad_norm": 1.634315979034748, + "learning_rate": 3.617879361761245e-07, + "loss": 0.8131, + "step": 38910 + }, + { + "epoch": 0.92, + "grad_norm": 1.5503579138684005, + "learning_rate": 3.615845759554781e-07, + "loss": 0.9831, + "step": 38911 + }, + { + "epoch": 0.92, + "grad_norm": 1.577363620943049, + "learning_rate": 3.613812718527365e-07, + "loss": 0.8099, + "step": 38912 + }, + { + "epoch": 0.92, + "grad_norm": 1.5428430094065224, + "learning_rate": 3.611780238690854e-07, + "loss": 0.8711, + "step": 38913 + }, + { + "epoch": 0.92, + "grad_norm": 1.6194900422833203, + "learning_rate": 3.6097483200570714e-07, + "loss": 0.9075, + "step": 38914 + }, + { + "epoch": 0.92, + "grad_norm": 1.9094747497951647, + "learning_rate": 3.6077169626378526e-07, + "loss": 0.8347, + "step": 38915 + }, + { + "epoch": 0.92, + "grad_norm": 2.013363770904225, + "learning_rate": 3.6056861664450214e-07, + "loss": 0.8386, + "step": 38916 + }, + { + "epoch": 0.92, + "grad_norm": 1.5366397714441886, + "learning_rate": 3.603655931490413e-07, + "loss": 0.9435, + "step": 38917 + }, + { + "epoch": 0.92, + "grad_norm": 1.5533919181662528, + "learning_rate": 3.6016262577858174e-07, + "loss": 0.9277, + "step": 38918 + }, + { + "epoch": 0.92, + "grad_norm": 1.5461819777143715, + "learning_rate": 3.599597145343092e-07, + "loss": 0.9164, + "step": 38919 + }, + { + "epoch": 0.92, + "grad_norm": 1.4501242882141165, + "learning_rate": 3.597568594174028e-07, + "loss": 0.8552, + "step": 38920 + }, + { + "epoch": 0.92, + "grad_norm": 0.7404077496013795, + "learning_rate": 3.595540604290437e-07, + "loss": 0.634, + "step": 38921 + }, + { + "epoch": 0.92, + "grad_norm": 1.4834506543306831, + "learning_rate": 3.593513175704122e-07, + "loss": 0.8539, + "step": 38922 + }, + { + "epoch": 0.92, + "grad_norm": 0.741451540874306, + "learning_rate": 3.5914863084268946e-07, + "loss": 0.727, + "step": 38923 + }, + { + "epoch": 0.92, + "grad_norm": 1.515813762069786, + "learning_rate": 3.5894600024705904e-07, + "loss": 0.8391, + "step": 38924 + }, + { + "epoch": 0.92, + "grad_norm": 1.619753478221728, + "learning_rate": 3.5874342578469337e-07, + "loss": 0.8377, + "step": 38925 + }, + { + "epoch": 0.92, + "grad_norm": 1.9623370914628078, + "learning_rate": 3.5854090745677696e-07, + "loss": 0.7723, + "step": 38926 + }, + { + "epoch": 0.92, + "grad_norm": 1.6583134716933687, + "learning_rate": 3.583384452644889e-07, + "loss": 0.8536, + "step": 38927 + }, + { + "epoch": 0.92, + "grad_norm": 0.739862128893046, + "learning_rate": 3.581360392090072e-07, + "loss": 0.7121, + "step": 38928 + }, + { + "epoch": 0.92, + "grad_norm": 1.5695991722627096, + "learning_rate": 3.579336892915075e-07, + "loss": 0.7355, + "step": 38929 + }, + { + "epoch": 0.92, + "grad_norm": 1.5199365446908009, + "learning_rate": 3.5773139551317226e-07, + "loss": 0.8798, + "step": 38930 + }, + { + "epoch": 0.92, + "grad_norm": 2.0290314038611297, + "learning_rate": 3.5752915787517716e-07, + "loss": 0.8251, + "step": 38931 + }, + { + "epoch": 0.92, + "grad_norm": 1.7837928167624413, + "learning_rate": 3.573269763787013e-07, + "loss": 0.9038, + "step": 38932 + }, + { + "epoch": 0.92, + "grad_norm": 1.606520133609534, + "learning_rate": 3.571248510249181e-07, + "loss": 0.8349, + "step": 38933 + }, + { + "epoch": 0.92, + "grad_norm": 1.848812536925586, + "learning_rate": 3.5692278181500893e-07, + "loss": 0.8824, + "step": 38934 + }, + { + "epoch": 0.92, + "grad_norm": 1.3617375546303312, + "learning_rate": 3.5672076875014727e-07, + "loss": 0.7904, + "step": 38935 + }, + { + "epoch": 0.92, + "grad_norm": 1.6011072620316302, + "learning_rate": 3.5651881183150995e-07, + "loss": 1.0171, + "step": 38936 + }, + { + "epoch": 0.92, + "grad_norm": 1.592528575972055, + "learning_rate": 3.563169110602749e-07, + "loss": 0.8831, + "step": 38937 + }, + { + "epoch": 0.92, + "grad_norm": 1.796497908105861, + "learning_rate": 3.5611506643761453e-07, + "loss": 0.8114, + "step": 38938 + }, + { + "epoch": 0.92, + "grad_norm": 0.7973426003600723, + "learning_rate": 3.5591327796470567e-07, + "loss": 0.683, + "step": 38939 + }, + { + "epoch": 0.92, + "grad_norm": 1.9980337579876695, + "learning_rate": 3.5571154564272293e-07, + "loss": 0.8656, + "step": 38940 + }, + { + "epoch": 0.92, + "grad_norm": 1.783074913672439, + "learning_rate": 3.5550986947284205e-07, + "loss": 0.8457, + "step": 38941 + }, + { + "epoch": 0.92, + "grad_norm": 2.0198348210786925, + "learning_rate": 3.553082494562354e-07, + "loss": 0.8998, + "step": 38942 + }, + { + "epoch": 0.92, + "grad_norm": 1.58366283513118, + "learning_rate": 3.5510668559407656e-07, + "loss": 0.7914, + "step": 38943 + }, + { + "epoch": 0.92, + "grad_norm": 1.8601664022510744, + "learning_rate": 3.549051778875401e-07, + "loss": 0.8399, + "step": 38944 + }, + { + "epoch": 0.92, + "grad_norm": 1.464392056084396, + "learning_rate": 3.547037263378017e-07, + "loss": 0.8084, + "step": 38945 + }, + { + "epoch": 0.92, + "grad_norm": 1.5616828352026575, + "learning_rate": 3.545023309460294e-07, + "loss": 0.8341, + "step": 38946 + }, + { + "epoch": 0.92, + "grad_norm": 0.7428281251290964, + "learning_rate": 3.543009917133988e-07, + "loss": 0.6932, + "step": 38947 + }, + { + "epoch": 0.92, + "grad_norm": 1.8164233898436029, + "learning_rate": 3.5409970864108247e-07, + "loss": 0.7694, + "step": 38948 + }, + { + "epoch": 0.92, + "grad_norm": 1.5691131321879705, + "learning_rate": 3.538984817302504e-07, + "loss": 0.7946, + "step": 38949 + }, + { + "epoch": 0.92, + "grad_norm": 1.5356860115425777, + "learning_rate": 3.536973109820763e-07, + "loss": 0.7803, + "step": 38950 + }, + { + "epoch": 0.92, + "grad_norm": 1.756691475347056, + "learning_rate": 3.5349619639772903e-07, + "loss": 0.7603, + "step": 38951 + }, + { + "epoch": 0.92, + "grad_norm": 1.9230038733675354, + "learning_rate": 3.532951379783822e-07, + "loss": 0.8368, + "step": 38952 + }, + { + "epoch": 0.92, + "grad_norm": 1.7849203354981584, + "learning_rate": 3.530941357252038e-07, + "loss": 0.8172, + "step": 38953 + }, + { + "epoch": 0.92, + "grad_norm": 0.826075951572668, + "learning_rate": 3.5289318963936726e-07, + "loss": 0.6462, + "step": 38954 + }, + { + "epoch": 0.92, + "grad_norm": 1.4081873352194616, + "learning_rate": 3.526922997220406e-07, + "loss": 0.8303, + "step": 38955 + }, + { + "epoch": 0.92, + "grad_norm": 1.5832292100718464, + "learning_rate": 3.524914659743928e-07, + "loss": 0.8406, + "step": 38956 + }, + { + "epoch": 0.92, + "grad_norm": 1.453649907352256, + "learning_rate": 3.5229068839759297e-07, + "loss": 0.7962, + "step": 38957 + }, + { + "epoch": 0.92, + "grad_norm": 3.9825122211259703, + "learning_rate": 3.520899669928135e-07, + "loss": 0.8267, + "step": 38958 + }, + { + "epoch": 0.92, + "grad_norm": 1.4727822058682145, + "learning_rate": 3.5188930176122016e-07, + "loss": 0.8032, + "step": 38959 + }, + { + "epoch": 0.92, + "grad_norm": 1.6622597080653765, + "learning_rate": 3.5168869270398085e-07, + "loss": 0.8257, + "step": 38960 + }, + { + "epoch": 0.92, + "grad_norm": 1.620800226331632, + "learning_rate": 3.514881398222647e-07, + "loss": 0.6929, + "step": 38961 + }, + { + "epoch": 0.92, + "grad_norm": 1.6695872491265802, + "learning_rate": 3.512876431172396e-07, + "loss": 0.8862, + "step": 38962 + }, + { + "epoch": 0.92, + "grad_norm": 1.4646592804071448, + "learning_rate": 3.5108720259007356e-07, + "loss": 0.8872, + "step": 38963 + }, + { + "epoch": 0.92, + "grad_norm": 1.6548723459630323, + "learning_rate": 3.508868182419312e-07, + "loss": 0.786, + "step": 38964 + }, + { + "epoch": 0.92, + "grad_norm": 0.8113528252085068, + "learning_rate": 3.506864900739804e-07, + "loss": 0.6715, + "step": 38965 + }, + { + "epoch": 0.92, + "grad_norm": 2.017227794524111, + "learning_rate": 3.5048621808738913e-07, + "loss": 0.8291, + "step": 38966 + }, + { + "epoch": 0.92, + "grad_norm": 1.8441401279993352, + "learning_rate": 3.502860022833221e-07, + "loss": 0.8286, + "step": 38967 + }, + { + "epoch": 0.92, + "grad_norm": 1.6121454920248715, + "learning_rate": 3.500858426629439e-07, + "loss": 0.879, + "step": 38968 + }, + { + "epoch": 0.92, + "grad_norm": 0.7191168119111219, + "learning_rate": 3.498857392274213e-07, + "loss": 0.7313, + "step": 38969 + }, + { + "epoch": 0.92, + "grad_norm": 1.499878349612278, + "learning_rate": 3.49685691977919e-07, + "loss": 0.9668, + "step": 38970 + }, + { + "epoch": 0.92, + "grad_norm": 3.530037070162967, + "learning_rate": 3.4948570091560276e-07, + "loss": 0.87, + "step": 38971 + }, + { + "epoch": 0.92, + "grad_norm": 1.9270135514456306, + "learning_rate": 3.4928576604163487e-07, + "loss": 0.7673, + "step": 38972 + }, + { + "epoch": 0.92, + "grad_norm": 1.50116404222354, + "learning_rate": 3.4908588735718116e-07, + "loss": 0.7806, + "step": 38973 + }, + { + "epoch": 0.92, + "grad_norm": 1.5052997832331745, + "learning_rate": 3.4888606486340515e-07, + "loss": 0.8146, + "step": 38974 + }, + { + "epoch": 0.92, + "grad_norm": 1.5950463612021586, + "learning_rate": 3.486862985614703e-07, + "loss": 0.8746, + "step": 38975 + }, + { + "epoch": 0.92, + "grad_norm": 1.4904045524998784, + "learning_rate": 3.4848658845253903e-07, + "loss": 0.7811, + "step": 38976 + }, + { + "epoch": 0.92, + "grad_norm": 0.779776639457406, + "learning_rate": 3.4828693453777375e-07, + "loss": 0.6466, + "step": 38977 + }, + { + "epoch": 0.92, + "grad_norm": 1.5989599727676314, + "learning_rate": 3.4808733681833686e-07, + "loss": 0.8161, + "step": 38978 + }, + { + "epoch": 0.92, + "grad_norm": 2.226322790089279, + "learning_rate": 3.4788779529539297e-07, + "loss": 0.7251, + "step": 38979 + }, + { + "epoch": 0.92, + "grad_norm": 2.1232346329534013, + "learning_rate": 3.476883099701023e-07, + "loss": 0.7036, + "step": 38980 + }, + { + "epoch": 0.92, + "grad_norm": 1.593174633910965, + "learning_rate": 3.4748888084362497e-07, + "loss": 0.7893, + "step": 38981 + }, + { + "epoch": 0.92, + "grad_norm": 1.588067341307136, + "learning_rate": 3.4728950791712343e-07, + "loss": 0.8046, + "step": 38982 + }, + { + "epoch": 0.92, + "grad_norm": 1.4976185354471403, + "learning_rate": 3.47090191191759e-07, + "loss": 0.8065, + "step": 38983 + }, + { + "epoch": 0.92, + "grad_norm": 1.709642397135235, + "learning_rate": 3.4689093066869184e-07, + "loss": 0.9143, + "step": 38984 + }, + { + "epoch": 0.92, + "grad_norm": 1.4730594904516061, + "learning_rate": 3.4669172634908097e-07, + "loss": 0.8411, + "step": 38985 + }, + { + "epoch": 0.92, + "grad_norm": 1.5978453659844514, + "learning_rate": 3.4649257823408667e-07, + "loss": 0.8072, + "step": 38986 + }, + { + "epoch": 0.92, + "grad_norm": 1.6923968657413915, + "learning_rate": 3.462934863248701e-07, + "loss": 0.8365, + "step": 38987 + }, + { + "epoch": 0.92, + "grad_norm": 1.858422065658324, + "learning_rate": 3.460944506225894e-07, + "loss": 0.803, + "step": 38988 + }, + { + "epoch": 0.92, + "grad_norm": 1.671199087440741, + "learning_rate": 3.458954711284013e-07, + "loss": 0.7884, + "step": 38989 + }, + { + "epoch": 0.92, + "grad_norm": 1.9194421451703687, + "learning_rate": 3.4569654784346816e-07, + "loss": 0.8566, + "step": 38990 + }, + { + "epoch": 0.92, + "grad_norm": 0.7281727275689471, + "learning_rate": 3.4549768076894473e-07, + "loss": 0.6829, + "step": 38991 + }, + { + "epoch": 0.92, + "grad_norm": 1.8314717661457505, + "learning_rate": 3.4529886990599113e-07, + "loss": 0.8322, + "step": 38992 + }, + { + "epoch": 0.92, + "grad_norm": 1.5724150448378067, + "learning_rate": 3.4510011525576317e-07, + "loss": 0.7817, + "step": 38993 + }, + { + "epoch": 0.92, + "grad_norm": 0.7363221773474488, + "learning_rate": 3.449014168194209e-07, + "loss": 0.6855, + "step": 38994 + }, + { + "epoch": 0.92, + "grad_norm": 1.6797205403489661, + "learning_rate": 3.44702774598118e-07, + "loss": 0.8014, + "step": 38995 + }, + { + "epoch": 0.92, + "grad_norm": 2.0693632455858384, + "learning_rate": 3.4450418859301226e-07, + "loss": 0.9097, + "step": 38996 + }, + { + "epoch": 0.92, + "grad_norm": 1.6972113057629667, + "learning_rate": 3.443056588052618e-07, + "loss": 0.9955, + "step": 38997 + }, + { + "epoch": 0.92, + "grad_norm": 1.5341153528205715, + "learning_rate": 3.441071852360178e-07, + "loss": 0.8162, + "step": 38998 + }, + { + "epoch": 0.92, + "grad_norm": 4.200911350620671, + "learning_rate": 3.4390876788644056e-07, + "loss": 0.8436, + "step": 38999 + }, + { + "epoch": 0.92, + "grad_norm": 1.9450856835333674, + "learning_rate": 3.437104067576835e-07, + "loss": 0.8677, + "step": 39000 + }, + { + "epoch": 0.92, + "grad_norm": 1.6525279136506388, + "learning_rate": 3.4351210185090133e-07, + "loss": 0.7889, + "step": 39001 + }, + { + "epoch": 0.92, + "grad_norm": 1.839757982849075, + "learning_rate": 3.4331385316724864e-07, + "loss": 0.7823, + "step": 39002 + }, + { + "epoch": 0.92, + "grad_norm": 1.5382969835977858, + "learning_rate": 3.4311566070788004e-07, + "loss": 0.7644, + "step": 39003 + }, + { + "epoch": 0.92, + "grad_norm": 1.542414481921269, + "learning_rate": 3.429175244739502e-07, + "loss": 0.9691, + "step": 39004 + }, + { + "epoch": 0.92, + "grad_norm": 0.8328760558653522, + "learning_rate": 3.4271944446661153e-07, + "loss": 0.7107, + "step": 39005 + }, + { + "epoch": 0.92, + "grad_norm": 1.5147532690270662, + "learning_rate": 3.4252142068701645e-07, + "loss": 0.8878, + "step": 39006 + }, + { + "epoch": 0.92, + "grad_norm": 1.9926719795771264, + "learning_rate": 3.423234531363195e-07, + "loss": 0.7253, + "step": 39007 + }, + { + "epoch": 0.92, + "grad_norm": 2.2646873051265657, + "learning_rate": 3.421255418156744e-07, + "loss": 0.8597, + "step": 39008 + }, + { + "epoch": 0.92, + "grad_norm": 1.5769641302394823, + "learning_rate": 3.4192768672623225e-07, + "loss": 0.8132, + "step": 39009 + }, + { + "epoch": 0.92, + "grad_norm": 1.7428062140778564, + "learning_rate": 3.417298878691433e-07, + "loss": 0.9446, + "step": 39010 + }, + { + "epoch": 0.92, + "grad_norm": 0.7796738236585127, + "learning_rate": 3.415321452455611e-07, + "loss": 0.6645, + "step": 39011 + }, + { + "epoch": 0.92, + "grad_norm": 0.7491127872656098, + "learning_rate": 3.4133445885663584e-07, + "loss": 0.7422, + "step": 39012 + }, + { + "epoch": 0.92, + "grad_norm": 1.788844427622589, + "learning_rate": 3.4113682870352103e-07, + "loss": 0.7718, + "step": 39013 + }, + { + "epoch": 0.92, + "grad_norm": 2.0582617854479714, + "learning_rate": 3.409392547873636e-07, + "loss": 0.9522, + "step": 39014 + }, + { + "epoch": 0.92, + "grad_norm": 1.6116980775500627, + "learning_rate": 3.4074173710931804e-07, + "loss": 0.8091, + "step": 39015 + }, + { + "epoch": 0.92, + "grad_norm": 2.0930339214420397, + "learning_rate": 3.405442756705302e-07, + "loss": 0.7155, + "step": 39016 + }, + { + "epoch": 0.92, + "grad_norm": 1.7355917204670186, + "learning_rate": 3.4034687047215245e-07, + "loss": 0.8179, + "step": 39017 + }, + { + "epoch": 0.92, + "grad_norm": 1.6311212884538195, + "learning_rate": 3.40149521515335e-07, + "loss": 0.8911, + "step": 39018 + }, + { + "epoch": 0.92, + "grad_norm": 1.4170051851553898, + "learning_rate": 3.3995222880122245e-07, + "loss": 0.7736, + "step": 39019 + }, + { + "epoch": 0.92, + "grad_norm": 1.8229702182940566, + "learning_rate": 3.3975499233096734e-07, + "loss": 0.8506, + "step": 39020 + }, + { + "epoch": 0.92, + "grad_norm": 1.6682279789670897, + "learning_rate": 3.395578121057164e-07, + "loss": 0.8215, + "step": 39021 + }, + { + "epoch": 0.92, + "grad_norm": 1.7027460682069924, + "learning_rate": 3.3936068812662094e-07, + "loss": 0.7391, + "step": 39022 + }, + { + "epoch": 0.92, + "grad_norm": 1.448205719568731, + "learning_rate": 3.391636203948234e-07, + "loss": 0.7682, + "step": 39023 + }, + { + "epoch": 0.92, + "grad_norm": 1.535144781617802, + "learning_rate": 3.3896660891147516e-07, + "loss": 0.8077, + "step": 39024 + }, + { + "epoch": 0.92, + "grad_norm": 0.7794988742260851, + "learning_rate": 3.3876965367772183e-07, + "loss": 0.6719, + "step": 39025 + }, + { + "epoch": 0.92, + "grad_norm": 2.0347520810947044, + "learning_rate": 3.385727546947104e-07, + "loss": 0.9107, + "step": 39026 + }, + { + "epoch": 0.92, + "grad_norm": 1.621354623602517, + "learning_rate": 3.3837591196358657e-07, + "loss": 0.6553, + "step": 39027 + }, + { + "epoch": 0.92, + "grad_norm": 1.5130269905310503, + "learning_rate": 3.38179125485496e-07, + "loss": 0.8865, + "step": 39028 + }, + { + "epoch": 0.92, + "grad_norm": 2.1471832682245613, + "learning_rate": 3.3798239526158793e-07, + "loss": 0.8358, + "step": 39029 + }, + { + "epoch": 0.92, + "grad_norm": 1.9575134840082329, + "learning_rate": 3.377857212930047e-07, + "loss": 0.8611, + "step": 39030 + }, + { + "epoch": 0.92, + "grad_norm": 1.6722035068740786, + "learning_rate": 3.375891035808898e-07, + "loss": 0.9076, + "step": 39031 + }, + { + "epoch": 0.92, + "grad_norm": 1.62253921369432, + "learning_rate": 3.373925421263924e-07, + "loss": 0.7484, + "step": 39032 + }, + { + "epoch": 0.92, + "grad_norm": 1.676652656194903, + "learning_rate": 3.3719603693065373e-07, + "loss": 0.6408, + "step": 39033 + }, + { + "epoch": 0.92, + "grad_norm": 1.521984037156949, + "learning_rate": 3.369995879948185e-07, + "loss": 0.7112, + "step": 39034 + }, + { + "epoch": 0.92, + "grad_norm": 2.1137589366320846, + "learning_rate": 3.3680319532003234e-07, + "loss": 0.7478, + "step": 39035 + }, + { + "epoch": 0.92, + "grad_norm": 1.823803817101952, + "learning_rate": 3.366068589074378e-07, + "loss": 0.8724, + "step": 39036 + }, + { + "epoch": 0.92, + "grad_norm": 1.563417535363955, + "learning_rate": 3.3641057875817507e-07, + "loss": 0.7431, + "step": 39037 + }, + { + "epoch": 0.92, + "grad_norm": 1.5755590432505815, + "learning_rate": 3.3621435487339095e-07, + "loss": 0.7284, + "step": 39038 + }, + { + "epoch": 0.92, + "grad_norm": 1.5045368274079756, + "learning_rate": 3.360181872542256e-07, + "loss": 0.8001, + "step": 39039 + }, + { + "epoch": 0.92, + "grad_norm": 1.4327609748239356, + "learning_rate": 3.358220759018238e-07, + "loss": 0.8626, + "step": 39040 + }, + { + "epoch": 0.92, + "grad_norm": 1.4801063591032775, + "learning_rate": 3.3562602081732344e-07, + "loss": 0.8433, + "step": 39041 + }, + { + "epoch": 0.92, + "grad_norm": 2.1849899878733434, + "learning_rate": 3.3543002200186803e-07, + "loss": 0.8282, + "step": 39042 + }, + { + "epoch": 0.92, + "grad_norm": 1.5612101594367276, + "learning_rate": 3.3523407945660004e-07, + "loss": 0.8633, + "step": 39043 + }, + { + "epoch": 0.92, + "grad_norm": 1.8344118678972214, + "learning_rate": 3.350381931826585e-07, + "loss": 0.9355, + "step": 39044 + }, + { + "epoch": 0.92, + "grad_norm": 1.579810338645835, + "learning_rate": 3.348423631811848e-07, + "loss": 0.8588, + "step": 39045 + }, + { + "epoch": 0.92, + "grad_norm": 1.4155871473899218, + "learning_rate": 3.3464658945331796e-07, + "loss": 0.9132, + "step": 39046 + }, + { + "epoch": 0.92, + "grad_norm": 1.9001264556077682, + "learning_rate": 3.3445087200019934e-07, + "loss": 0.8837, + "step": 39047 + }, + { + "epoch": 0.92, + "grad_norm": 1.592774552391517, + "learning_rate": 3.3425521082296797e-07, + "loss": 0.7466, + "step": 39048 + }, + { + "epoch": 0.92, + "grad_norm": 1.702226237121117, + "learning_rate": 3.340596059227619e-07, + "loss": 0.8417, + "step": 39049 + }, + { + "epoch": 0.92, + "grad_norm": 0.758170085479274, + "learning_rate": 3.3386405730072237e-07, + "loss": 0.7517, + "step": 39050 + }, + { + "epoch": 0.92, + "grad_norm": 1.660337623933525, + "learning_rate": 3.336685649579852e-07, + "loss": 0.8074, + "step": 39051 + }, + { + "epoch": 0.92, + "grad_norm": 1.5987417642209967, + "learning_rate": 3.334731288956916e-07, + "loss": 0.8471, + "step": 39052 + }, + { + "epoch": 0.92, + "grad_norm": 1.8623570684316233, + "learning_rate": 3.332777491149763e-07, + "loss": 0.913, + "step": 39053 + }, + { + "epoch": 0.92, + "grad_norm": 1.7536995213418807, + "learning_rate": 3.3308242561697956e-07, + "loss": 0.8001, + "step": 39054 + }, + { + "epoch": 0.92, + "grad_norm": 0.7620916218682687, + "learning_rate": 3.328871584028359e-07, + "loss": 0.6867, + "step": 39055 + }, + { + "epoch": 0.92, + "grad_norm": 0.7782883277062239, + "learning_rate": 3.326919474736856e-07, + "loss": 0.7119, + "step": 39056 + }, + { + "epoch": 0.92, + "grad_norm": 1.9415422830016635, + "learning_rate": 3.324967928306622e-07, + "loss": 0.7934, + "step": 39057 + }, + { + "epoch": 0.92, + "grad_norm": 1.627373167104356, + "learning_rate": 3.3230169447490356e-07, + "loss": 0.7182, + "step": 39058 + }, + { + "epoch": 0.92, + "grad_norm": 1.461427903436687, + "learning_rate": 3.3210665240754446e-07, + "loss": 0.8342, + "step": 39059 + }, + { + "epoch": 0.92, + "grad_norm": 0.7488008471712759, + "learning_rate": 3.3191166662972174e-07, + "loss": 0.715, + "step": 39060 + }, + { + "epoch": 0.92, + "grad_norm": 1.665755533106787, + "learning_rate": 3.3171673714257113e-07, + "loss": 0.8359, + "step": 39061 + }, + { + "epoch": 0.92, + "grad_norm": 0.7583904329845367, + "learning_rate": 3.3152186394722506e-07, + "loss": 0.6971, + "step": 39062 + }, + { + "epoch": 0.92, + "grad_norm": 1.6769790336678476, + "learning_rate": 3.3132704704481934e-07, + "loss": 0.7849, + "step": 39063 + }, + { + "epoch": 0.92, + "grad_norm": 1.4763681425389452, + "learning_rate": 3.3113228643649075e-07, + "loss": 0.8539, + "step": 39064 + }, + { + "epoch": 0.92, + "grad_norm": 1.733248953518866, + "learning_rate": 3.309375821233696e-07, + "loss": 0.6745, + "step": 39065 + }, + { + "epoch": 0.92, + "grad_norm": 1.9161668063233945, + "learning_rate": 3.3074293410659154e-07, + "loss": 0.745, + "step": 39066 + }, + { + "epoch": 0.92, + "grad_norm": 0.7937646970669513, + "learning_rate": 3.3054834238728795e-07, + "loss": 0.6535, + "step": 39067 + }, + { + "epoch": 0.92, + "grad_norm": 1.5531988497363383, + "learning_rate": 3.303538069665957e-07, + "loss": 0.7688, + "step": 39068 + }, + { + "epoch": 0.92, + "grad_norm": 0.7349215858243372, + "learning_rate": 3.3015932784564385e-07, + "loss": 0.6967, + "step": 39069 + }, + { + "epoch": 0.92, + "grad_norm": 1.6202170595129832, + "learning_rate": 3.2996490502556486e-07, + "loss": 0.8225, + "step": 39070 + }, + { + "epoch": 0.92, + "grad_norm": 1.4988708525219505, + "learning_rate": 3.297705385074934e-07, + "loss": 0.962, + "step": 39071 + }, + { + "epoch": 0.92, + "grad_norm": 0.7864151433417712, + "learning_rate": 3.2957622829255744e-07, + "loss": 0.703, + "step": 39072 + }, + { + "epoch": 0.92, + "grad_norm": 0.7381198133528959, + "learning_rate": 3.2938197438189154e-07, + "loss": 0.6853, + "step": 39073 + }, + { + "epoch": 0.92, + "grad_norm": 1.772629523863883, + "learning_rate": 3.2918777677662495e-07, + "loss": 0.8648, + "step": 39074 + }, + { + "epoch": 0.92, + "grad_norm": 1.6558032438414068, + "learning_rate": 3.2899363547789e-07, + "loss": 0.6871, + "step": 39075 + }, + { + "epoch": 0.92, + "grad_norm": 1.6289246048753652, + "learning_rate": 3.2879955048681465e-07, + "loss": 0.9491, + "step": 39076 + }, + { + "epoch": 0.92, + "grad_norm": 0.7388289659570237, + "learning_rate": 3.286055218045303e-07, + "loss": 0.7081, + "step": 39077 + }, + { + "epoch": 0.92, + "grad_norm": 0.7832783163102787, + "learning_rate": 3.2841154943216714e-07, + "loss": 0.7143, + "step": 39078 + }, + { + "epoch": 0.92, + "grad_norm": 1.628207814215404, + "learning_rate": 3.282176333708531e-07, + "loss": 0.8554, + "step": 39079 + }, + { + "epoch": 0.92, + "grad_norm": 2.1429543235815514, + "learning_rate": 3.2802377362171845e-07, + "loss": 0.8045, + "step": 39080 + }, + { + "epoch": 0.92, + "grad_norm": 1.6786027049094243, + "learning_rate": 3.278299701858922e-07, + "loss": 0.9066, + "step": 39081 + }, + { + "epoch": 0.92, + "grad_norm": 0.7682584462169474, + "learning_rate": 3.276362230645014e-07, + "loss": 0.7183, + "step": 39082 + }, + { + "epoch": 0.92, + "grad_norm": 1.4835230184151023, + "learning_rate": 3.2744253225867386e-07, + "loss": 0.8436, + "step": 39083 + }, + { + "epoch": 0.92, + "grad_norm": 1.6970963323696753, + "learning_rate": 3.2724889776953874e-07, + "loss": 0.8763, + "step": 39084 + }, + { + "epoch": 0.92, + "grad_norm": 1.5277117997789766, + "learning_rate": 3.270553195982229e-07, + "loss": 0.8161, + "step": 39085 + }, + { + "epoch": 0.92, + "grad_norm": 1.7664684013968583, + "learning_rate": 3.2686179774585434e-07, + "loss": 0.8286, + "step": 39086 + }, + { + "epoch": 0.92, + "grad_norm": 1.7023184107567682, + "learning_rate": 3.2666833221355774e-07, + "loss": 0.8274, + "step": 39087 + }, + { + "epoch": 0.92, + "grad_norm": 1.5967522030150063, + "learning_rate": 3.2647492300246e-07, + "loss": 0.8498, + "step": 39088 + }, + { + "epoch": 0.92, + "grad_norm": 2.056127080907105, + "learning_rate": 3.262815701136901e-07, + "loss": 0.8482, + "step": 39089 + }, + { + "epoch": 0.92, + "grad_norm": 1.6454766732532384, + "learning_rate": 3.2608827354837057e-07, + "loss": 0.807, + "step": 39090 + }, + { + "epoch": 0.92, + "grad_norm": 1.5929548035782461, + "learning_rate": 3.258950333076272e-07, + "loss": 0.7861, + "step": 39091 + }, + { + "epoch": 0.92, + "grad_norm": 1.35039413033392, + "learning_rate": 3.2570184939258674e-07, + "loss": 0.7781, + "step": 39092 + }, + { + "epoch": 0.92, + "grad_norm": 1.89598072046322, + "learning_rate": 3.255087218043718e-07, + "loss": 0.8594, + "step": 39093 + }, + { + "epoch": 0.92, + "grad_norm": 1.68023919083849, + "learning_rate": 3.2531565054410797e-07, + "loss": 0.9298, + "step": 39094 + }, + { + "epoch": 0.92, + "grad_norm": 1.446114350854323, + "learning_rate": 3.2512263561292e-07, + "loss": 0.8203, + "step": 39095 + }, + { + "epoch": 0.92, + "grad_norm": 1.8119666005720863, + "learning_rate": 3.2492967701193144e-07, + "loss": 0.8413, + "step": 39096 + }, + { + "epoch": 0.92, + "grad_norm": 1.8241870284066561, + "learning_rate": 3.2473677474226363e-07, + "loss": 0.782, + "step": 39097 + }, + { + "epoch": 0.92, + "grad_norm": 1.9639044782540038, + "learning_rate": 3.245439288050434e-07, + "loss": 0.7786, + "step": 39098 + }, + { + "epoch": 0.92, + "grad_norm": 1.5864930063066096, + "learning_rate": 3.2435113920139094e-07, + "loss": 0.8545, + "step": 39099 + }, + { + "epoch": 0.92, + "grad_norm": 1.526711072519847, + "learning_rate": 3.2415840593242874e-07, + "loss": 0.8684, + "step": 39100 + }, + { + "epoch": 0.92, + "grad_norm": 1.5077352100968229, + "learning_rate": 3.2396572899928037e-07, + "loss": 0.7513, + "step": 39101 + }, + { + "epoch": 0.92, + "grad_norm": 1.5222563466193597, + "learning_rate": 3.237731084030671e-07, + "loss": 0.8614, + "step": 39102 + }, + { + "epoch": 0.92, + "grad_norm": 1.5677733755815622, + "learning_rate": 3.2358054414491024e-07, + "loss": 0.8946, + "step": 39103 + }, + { + "epoch": 0.92, + "grad_norm": 1.6291579154595541, + "learning_rate": 3.2338803622593006e-07, + "loss": 0.7878, + "step": 39104 + }, + { + "epoch": 0.92, + "grad_norm": 1.8133347127426964, + "learning_rate": 3.231955846472479e-07, + "loss": 0.8391, + "step": 39105 + }, + { + "epoch": 0.92, + "grad_norm": 1.4695924513364995, + "learning_rate": 3.2300318940998607e-07, + "loss": 0.8717, + "step": 39106 + }, + { + "epoch": 0.92, + "grad_norm": 1.670190662682564, + "learning_rate": 3.2281085051526383e-07, + "loss": 1.014, + "step": 39107 + }, + { + "epoch": 0.92, + "grad_norm": 1.6216074852308262, + "learning_rate": 3.226185679641991e-07, + "loss": 0.8707, + "step": 39108 + }, + { + "epoch": 0.92, + "grad_norm": 1.6914345129821369, + "learning_rate": 3.224263417579132e-07, + "loss": 0.7646, + "step": 39109 + }, + { + "epoch": 0.92, + "grad_norm": 1.6075719842624259, + "learning_rate": 3.2223417189752525e-07, + "loss": 0.6769, + "step": 39110 + }, + { + "epoch": 0.92, + "grad_norm": 1.6450591572816415, + "learning_rate": 3.2204205838415437e-07, + "loss": 0.8306, + "step": 39111 + }, + { + "epoch": 0.92, + "grad_norm": 1.494581367898153, + "learning_rate": 3.218500012189174e-07, + "loss": 0.7478, + "step": 39112 + }, + { + "epoch": 0.92, + "grad_norm": 3.571027196280881, + "learning_rate": 3.216580004029357e-07, + "loss": 0.8851, + "step": 39113 + }, + { + "epoch": 0.92, + "grad_norm": 1.6031408587466889, + "learning_rate": 3.214660559373228e-07, + "loss": 0.7991, + "step": 39114 + }, + { + "epoch": 0.92, + "grad_norm": 1.4949613418853536, + "learning_rate": 3.212741678232012e-07, + "loss": 0.8668, + "step": 39115 + }, + { + "epoch": 0.92, + "grad_norm": 2.0446401769974956, + "learning_rate": 3.210823360616833e-07, + "loss": 0.7263, + "step": 39116 + }, + { + "epoch": 0.92, + "grad_norm": 1.5076895771637282, + "learning_rate": 3.2089056065388924e-07, + "loss": 0.8419, + "step": 39117 + }, + { + "epoch": 0.92, + "grad_norm": 2.4297307756771445, + "learning_rate": 3.206988416009349e-07, + "loss": 0.9394, + "step": 39118 + }, + { + "epoch": 0.92, + "grad_norm": 1.6666375441105419, + "learning_rate": 3.20507178903936e-07, + "loss": 0.7071, + "step": 39119 + }, + { + "epoch": 0.92, + "grad_norm": 1.7439744000990856, + "learning_rate": 3.203155725640106e-07, + "loss": 0.8195, + "step": 39120 + }, + { + "epoch": 0.92, + "grad_norm": 2.0121139854238272, + "learning_rate": 3.2012402258226995e-07, + "loss": 0.8434, + "step": 39121 + }, + { + "epoch": 0.92, + "grad_norm": 1.597467324039293, + "learning_rate": 3.1993252895983205e-07, + "loss": 0.8238, + "step": 39122 + }, + { + "epoch": 0.92, + "grad_norm": 1.4986381439826701, + "learning_rate": 3.1974109169781165e-07, + "loss": 0.8066, + "step": 39123 + }, + { + "epoch": 0.92, + "grad_norm": 1.3537831671844578, + "learning_rate": 3.1954971079732554e-07, + "loss": 0.8803, + "step": 39124 + }, + { + "epoch": 0.92, + "grad_norm": 1.689270608337258, + "learning_rate": 3.1935838625948403e-07, + "loss": 0.74, + "step": 39125 + }, + { + "epoch": 0.92, + "grad_norm": 1.6585491866638864, + "learning_rate": 3.191671180854028e-07, + "loss": 0.765, + "step": 39126 + }, + { + "epoch": 0.92, + "grad_norm": 1.6207292812213354, + "learning_rate": 3.1897590627619546e-07, + "loss": 0.932, + "step": 39127 + }, + { + "epoch": 0.92, + "grad_norm": 1.8344031509358711, + "learning_rate": 3.1878475083297667e-07, + "loss": 0.8016, + "step": 39128 + }, + { + "epoch": 0.92, + "grad_norm": 1.95459704179794, + "learning_rate": 3.1859365175685666e-07, + "loss": 0.8273, + "step": 39129 + }, + { + "epoch": 0.92, + "grad_norm": 1.9035052410707425, + "learning_rate": 3.1840260904894896e-07, + "loss": 0.8406, + "step": 39130 + }, + { + "epoch": 0.92, + "grad_norm": 1.6426064071250266, + "learning_rate": 3.182116227103682e-07, + "loss": 0.8963, + "step": 39131 + }, + { + "epoch": 0.92, + "grad_norm": 1.6621380970464639, + "learning_rate": 3.180206927422236e-07, + "loss": 0.8504, + "step": 39132 + }, + { + "epoch": 0.92, + "grad_norm": 1.6499563736379346, + "learning_rate": 3.178298191456275e-07, + "loss": 0.7408, + "step": 39133 + }, + { + "epoch": 0.92, + "grad_norm": 1.704186877838055, + "learning_rate": 3.176390019216924e-07, + "loss": 0.8146, + "step": 39134 + }, + { + "epoch": 0.92, + "grad_norm": 1.5471975157848532, + "learning_rate": 3.174482410715274e-07, + "loss": 0.6951, + "step": 39135 + }, + { + "epoch": 0.92, + "grad_norm": 1.9648854956484199, + "learning_rate": 3.172575365962449e-07, + "loss": 0.8053, + "step": 39136 + }, + { + "epoch": 0.92, + "grad_norm": 1.5287963487062548, + "learning_rate": 3.170668884969552e-07, + "loss": 0.7641, + "step": 39137 + }, + { + "epoch": 0.92, + "grad_norm": 1.6935875467633907, + "learning_rate": 3.168762967747674e-07, + "loss": 0.8266, + "step": 39138 + }, + { + "epoch": 0.92, + "grad_norm": 1.8672271910810936, + "learning_rate": 3.1668576143078946e-07, + "loss": 0.8322, + "step": 39139 + }, + { + "epoch": 0.92, + "grad_norm": 1.6899704448805695, + "learning_rate": 3.164952824661338e-07, + "loss": 0.7948, + "step": 39140 + }, + { + "epoch": 0.92, + "grad_norm": 1.5292991939081926, + "learning_rate": 3.163048598819096e-07, + "loss": 0.7789, + "step": 39141 + }, + { + "epoch": 0.92, + "grad_norm": 1.5082092579820596, + "learning_rate": 3.1611449367922374e-07, + "loss": 0.8152, + "step": 39142 + }, + { + "epoch": 0.92, + "grad_norm": 0.7664595703647201, + "learning_rate": 3.1592418385918424e-07, + "loss": 0.7078, + "step": 39143 + }, + { + "epoch": 0.92, + "grad_norm": 0.7173972523247262, + "learning_rate": 3.1573393042290015e-07, + "loss": 0.6384, + "step": 39144 + }, + { + "epoch": 0.92, + "grad_norm": 1.6643289136746222, + "learning_rate": 3.155437333714795e-07, + "loss": 0.8557, + "step": 39145 + }, + { + "epoch": 0.92, + "grad_norm": 1.492395556962361, + "learning_rate": 3.1535359270603027e-07, + "loss": 0.8359, + "step": 39146 + }, + { + "epoch": 0.92, + "grad_norm": 1.5098009000701738, + "learning_rate": 3.151635084276572e-07, + "loss": 0.7386, + "step": 39147 + }, + { + "epoch": 0.92, + "grad_norm": 0.7547387311234774, + "learning_rate": 3.1497348053746934e-07, + "loss": 0.6961, + "step": 39148 + }, + { + "epoch": 0.92, + "grad_norm": 1.5805808052450645, + "learning_rate": 3.1478350903657026e-07, + "loss": 0.8142, + "step": 39149 + }, + { + "epoch": 0.92, + "grad_norm": 0.7799186641892143, + "learning_rate": 3.1459359392607025e-07, + "loss": 0.7061, + "step": 39150 + }, + { + "epoch": 0.92, + "grad_norm": 1.6660916931148277, + "learning_rate": 3.1440373520707055e-07, + "loss": 0.94, + "step": 39151 + }, + { + "epoch": 0.92, + "grad_norm": 1.5937611150770339, + "learning_rate": 3.1421393288068035e-07, + "loss": 0.8767, + "step": 39152 + }, + { + "epoch": 0.92, + "grad_norm": 1.830031205237916, + "learning_rate": 3.1402418694800207e-07, + "loss": 0.7734, + "step": 39153 + }, + { + "epoch": 0.92, + "grad_norm": 1.4592181973533707, + "learning_rate": 3.138344974101426e-07, + "loss": 0.7351, + "step": 39154 + }, + { + "epoch": 0.92, + "grad_norm": 1.4809287923714012, + "learning_rate": 3.136448642682044e-07, + "loss": 0.802, + "step": 39155 + }, + { + "epoch": 0.92, + "grad_norm": 0.7826914817642708, + "learning_rate": 3.1345528752329214e-07, + "loss": 0.6556, + "step": 39156 + }, + { + "epoch": 0.92, + "grad_norm": 1.5385014574826295, + "learning_rate": 3.132657671765105e-07, + "loss": 0.8361, + "step": 39157 + }, + { + "epoch": 0.92, + "grad_norm": 1.8554815971406584, + "learning_rate": 3.130763032289619e-07, + "loss": 0.7247, + "step": 39158 + }, + { + "epoch": 0.92, + "grad_norm": 2.816764369820725, + "learning_rate": 3.12886895681751e-07, + "loss": 0.7856, + "step": 39159 + }, + { + "epoch": 0.92, + "grad_norm": 1.4706727593654128, + "learning_rate": 3.126975445359781e-07, + "loss": 0.8221, + "step": 39160 + }, + { + "epoch": 0.92, + "grad_norm": 1.6777029923752953, + "learning_rate": 3.1250824979274675e-07, + "loss": 0.814, + "step": 39161 + }, + { + "epoch": 0.92, + "grad_norm": 1.681071820949613, + "learning_rate": 3.1231901145316156e-07, + "loss": 0.9753, + "step": 39162 + }, + { + "epoch": 0.92, + "grad_norm": 1.6382957379604843, + "learning_rate": 3.1212982951832063e-07, + "loss": 0.8655, + "step": 39163 + }, + { + "epoch": 0.92, + "grad_norm": 1.5292144872483677, + "learning_rate": 3.119407039893274e-07, + "loss": 0.7889, + "step": 39164 + }, + { + "epoch": 0.92, + "grad_norm": 1.7155718499348125, + "learning_rate": 3.1175163486728113e-07, + "loss": 0.921, + "step": 39165 + }, + { + "epoch": 0.92, + "grad_norm": 1.5753298688206763, + "learning_rate": 3.115626221532864e-07, + "loss": 0.9042, + "step": 39166 + }, + { + "epoch": 0.92, + "grad_norm": 1.9998393916880706, + "learning_rate": 3.113736658484412e-07, + "loss": 0.8247, + "step": 39167 + }, + { + "epoch": 0.92, + "grad_norm": 1.4311588765546432, + "learning_rate": 3.1118476595384363e-07, + "loss": 0.8615, + "step": 39168 + }, + { + "epoch": 0.92, + "grad_norm": 2.0720222229471394, + "learning_rate": 3.1099592247059715e-07, + "loss": 0.7534, + "step": 39169 + }, + { + "epoch": 0.92, + "grad_norm": 1.5821296742038418, + "learning_rate": 3.108071353997999e-07, + "loss": 0.8698, + "step": 39170 + }, + { + "epoch": 0.92, + "grad_norm": 1.6150420187449528, + "learning_rate": 3.10618404742552e-07, + "loss": 0.774, + "step": 39171 + }, + { + "epoch": 0.92, + "grad_norm": 0.8077452405221149, + "learning_rate": 3.1042973049994927e-07, + "loss": 0.6584, + "step": 39172 + }, + { + "epoch": 0.92, + "grad_norm": 1.418768876704808, + "learning_rate": 3.102411126730942e-07, + "loss": 0.7096, + "step": 39173 + }, + { + "epoch": 0.92, + "grad_norm": 1.8646579104714125, + "learning_rate": 3.1005255126308255e-07, + "loss": 0.7913, + "step": 39174 + }, + { + "epoch": 0.92, + "grad_norm": 1.5818986159742512, + "learning_rate": 3.098640462710123e-07, + "loss": 0.7772, + "step": 39175 + }, + { + "epoch": 0.92, + "grad_norm": 1.6029170698936421, + "learning_rate": 3.096755976979815e-07, + "loss": 0.9414, + "step": 39176 + }, + { + "epoch": 0.92, + "grad_norm": 1.5495436103860476, + "learning_rate": 3.094872055450882e-07, + "loss": 0.8161, + "step": 39177 + }, + { + "epoch": 0.92, + "grad_norm": 1.4041778726004521, + "learning_rate": 3.0929886981342694e-07, + "loss": 0.836, + "step": 39178 + }, + { + "epoch": 0.92, + "grad_norm": 1.6327665629952093, + "learning_rate": 3.0911059050409696e-07, + "loss": 0.8931, + "step": 39179 + }, + { + "epoch": 0.92, + "grad_norm": 0.7657325195335984, + "learning_rate": 3.0892236761819297e-07, + "loss": 0.687, + "step": 39180 + }, + { + "epoch": 0.92, + "grad_norm": 0.7761204658714679, + "learning_rate": 3.0873420115680955e-07, + "loss": 0.6764, + "step": 39181 + }, + { + "epoch": 0.92, + "grad_norm": 1.7086356373279312, + "learning_rate": 3.085460911210447e-07, + "loss": 0.8358, + "step": 39182 + }, + { + "epoch": 0.92, + "grad_norm": 1.530424392910183, + "learning_rate": 3.083580375119932e-07, + "loss": 0.77, + "step": 39183 + }, + { + "epoch": 0.92, + "grad_norm": 1.5249158121072142, + "learning_rate": 3.0817004033075083e-07, + "loss": 0.7706, + "step": 39184 + }, + { + "epoch": 0.92, + "grad_norm": 1.74625768991306, + "learning_rate": 3.0798209957840886e-07, + "loss": 0.7249, + "step": 39185 + }, + { + "epoch": 0.92, + "grad_norm": 2.022831793731361, + "learning_rate": 3.077942152560631e-07, + "loss": 0.8311, + "step": 39186 + }, + { + "epoch": 0.92, + "grad_norm": 0.728539511289655, + "learning_rate": 3.076063873648094e-07, + "loss": 0.6497, + "step": 39187 + }, + { + "epoch": 0.92, + "grad_norm": 1.7752588291238873, + "learning_rate": 3.074186159057402e-07, + "loss": 0.8516, + "step": 39188 + }, + { + "epoch": 0.92, + "grad_norm": 1.6919020088038816, + "learning_rate": 3.0723090087994676e-07, + "loss": 0.7851, + "step": 39189 + }, + { + "epoch": 0.92, + "grad_norm": 1.66721594071558, + "learning_rate": 3.070432422885239e-07, + "loss": 0.8945, + "step": 39190 + }, + { + "epoch": 0.92, + "grad_norm": 1.5495510212590595, + "learning_rate": 3.068556401325651e-07, + "loss": 0.8295, + "step": 39191 + }, + { + "epoch": 0.92, + "grad_norm": 1.7107157217653048, + "learning_rate": 3.066680944131617e-07, + "loss": 0.9107, + "step": 39192 + }, + { + "epoch": 0.92, + "grad_norm": 1.6561199479618254, + "learning_rate": 3.06480605131404e-07, + "loss": 0.8162, + "step": 39193 + }, + { + "epoch": 0.92, + "grad_norm": 1.3618455519468948, + "learning_rate": 3.062931722883866e-07, + "loss": 0.7999, + "step": 39194 + }, + { + "epoch": 0.92, + "grad_norm": 1.5687082151063145, + "learning_rate": 3.0610579588519874e-07, + "loss": 0.8376, + "step": 39195 + }, + { + "epoch": 0.92, + "grad_norm": 1.6981881299396684, + "learning_rate": 3.0591847592293277e-07, + "loss": 0.8908, + "step": 39196 + }, + { + "epoch": 0.92, + "grad_norm": 2.526833058617219, + "learning_rate": 3.057312124026768e-07, + "loss": 0.793, + "step": 39197 + }, + { + "epoch": 0.92, + "grad_norm": 1.7094109011472967, + "learning_rate": 3.055440053255243e-07, + "loss": 0.7241, + "step": 39198 + }, + { + "epoch": 0.92, + "grad_norm": 1.6385340914547961, + "learning_rate": 3.0535685469256336e-07, + "loss": 0.8207, + "step": 39199 + }, + { + "epoch": 0.92, + "grad_norm": 1.642533814674413, + "learning_rate": 3.051697605048842e-07, + "loss": 0.8134, + "step": 39200 + }, + { + "epoch": 0.92, + "grad_norm": 1.75756573743104, + "learning_rate": 3.049827227635771e-07, + "loss": 0.8775, + "step": 39201 + }, + { + "epoch": 0.92, + "grad_norm": 0.7374217930771716, + "learning_rate": 3.0479574146972777e-07, + "loss": 0.6993, + "step": 39202 + }, + { + "epoch": 0.92, + "grad_norm": 1.4563854483946215, + "learning_rate": 3.046088166244276e-07, + "loss": 0.8254, + "step": 39203 + }, + { + "epoch": 0.92, + "grad_norm": 0.8337149799146866, + "learning_rate": 3.044219482287647e-07, + "loss": 0.6848, + "step": 39204 + }, + { + "epoch": 0.92, + "grad_norm": 1.61486558820623, + "learning_rate": 3.0423513628382805e-07, + "loss": 0.8399, + "step": 39205 + }, + { + "epoch": 0.92, + "grad_norm": 1.4427420409576088, + "learning_rate": 3.040483807907024e-07, + "loss": 0.681, + "step": 39206 + }, + { + "epoch": 0.92, + "grad_norm": 1.5412747280460193, + "learning_rate": 3.0386168175047694e-07, + "loss": 0.9074, + "step": 39207 + }, + { + "epoch": 0.92, + "grad_norm": 1.4783147590171661, + "learning_rate": 3.0367503916423956e-07, + "loss": 0.781, + "step": 39208 + }, + { + "epoch": 0.92, + "grad_norm": 1.6009645258133811, + "learning_rate": 3.034884530330762e-07, + "loss": 0.7482, + "step": 39209 + }, + { + "epoch": 0.92, + "grad_norm": 1.609103074960357, + "learning_rate": 3.033019233580714e-07, + "loss": 0.854, + "step": 39210 + }, + { + "epoch": 0.92, + "grad_norm": 1.5951292187320905, + "learning_rate": 3.0311545014031327e-07, + "loss": 0.8143, + "step": 39211 + }, + { + "epoch": 0.92, + "grad_norm": 1.7617750993762469, + "learning_rate": 3.0292903338088654e-07, + "loss": 0.7642, + "step": 39212 + }, + { + "epoch": 0.92, + "grad_norm": 1.8552720526537378, + "learning_rate": 3.0274267308087913e-07, + "loss": 0.8669, + "step": 39213 + }, + { + "epoch": 0.92, + "grad_norm": 1.9248721496429255, + "learning_rate": 3.0255636924137134e-07, + "loss": 0.7747, + "step": 39214 + }, + { + "epoch": 0.92, + "grad_norm": 2.1407460864566694, + "learning_rate": 3.0237012186345225e-07, + "loss": 0.7707, + "step": 39215 + }, + { + "epoch": 0.92, + "grad_norm": 0.8090154206772009, + "learning_rate": 3.021839309482033e-07, + "loss": 0.7378, + "step": 39216 + }, + { + "epoch": 0.92, + "grad_norm": 1.606459213873536, + "learning_rate": 3.0199779649670915e-07, + "loss": 0.953, + "step": 39217 + }, + { + "epoch": 0.92, + "grad_norm": 1.619517376063851, + "learning_rate": 3.018117185100566e-07, + "loss": 0.8787, + "step": 39218 + }, + { + "epoch": 0.92, + "grad_norm": 1.558345052447104, + "learning_rate": 3.016256969893261e-07, + "loss": 0.9367, + "step": 39219 + }, + { + "epoch": 0.92, + "grad_norm": 1.4763626740486684, + "learning_rate": 3.0143973193559994e-07, + "loss": 0.8553, + "step": 39220 + }, + { + "epoch": 0.92, + "grad_norm": 0.7671075351037536, + "learning_rate": 3.012538233499618e-07, + "loss": 0.6749, + "step": 39221 + }, + { + "epoch": 0.92, + "grad_norm": 1.669772417926058, + "learning_rate": 3.010679712334974e-07, + "loss": 0.7612, + "step": 39222 + }, + { + "epoch": 0.92, + "grad_norm": 1.7338960497472662, + "learning_rate": 3.008821755872826e-07, + "loss": 0.8376, + "step": 39223 + }, + { + "epoch": 0.92, + "grad_norm": 1.6621061833117914, + "learning_rate": 3.006964364124032e-07, + "loss": 0.8553, + "step": 39224 + }, + { + "epoch": 0.92, + "grad_norm": 3.2163840448076106, + "learning_rate": 3.005107537099405e-07, + "loss": 0.7448, + "step": 39225 + }, + { + "epoch": 0.92, + "grad_norm": 0.7290402629391226, + "learning_rate": 3.0032512748097595e-07, + "loss": 0.7313, + "step": 39226 + }, + { + "epoch": 0.92, + "grad_norm": 2.523599943724605, + "learning_rate": 3.0013955772658864e-07, + "loss": 0.8216, + "step": 39227 + }, + { + "epoch": 0.92, + "grad_norm": 1.8252270884194517, + "learning_rate": 2.999540444478588e-07, + "loss": 0.8161, + "step": 39228 + }, + { + "epoch": 0.92, + "grad_norm": 1.8096909554686553, + "learning_rate": 2.997685876458689e-07, + "loss": 0.9245, + "step": 39229 + }, + { + "epoch": 0.92, + "grad_norm": 1.624435676313325, + "learning_rate": 2.9958318732169587e-07, + "loss": 0.7862, + "step": 39230 + }, + { + "epoch": 0.92, + "grad_norm": 1.7066156144021938, + "learning_rate": 2.993978434764222e-07, + "loss": 0.9015, + "step": 39231 + }, + { + "epoch": 0.92, + "grad_norm": 0.7663813155216145, + "learning_rate": 2.9921255611112363e-07, + "loss": 0.7403, + "step": 39232 + }, + { + "epoch": 0.92, + "grad_norm": 1.514399071028993, + "learning_rate": 2.9902732522688273e-07, + "loss": 0.8245, + "step": 39233 + }, + { + "epoch": 0.92, + "grad_norm": 1.6887336666072312, + "learning_rate": 2.988421508247741e-07, + "loss": 0.904, + "step": 39234 + }, + { + "epoch": 0.92, + "grad_norm": 1.6433426244516818, + "learning_rate": 2.986570329058791e-07, + "loss": 0.9548, + "step": 39235 + }, + { + "epoch": 0.92, + "grad_norm": 1.7186891289316737, + "learning_rate": 2.9847197147127473e-07, + "loss": 0.8063, + "step": 39236 + }, + { + "epoch": 0.92, + "grad_norm": 0.7760782623389682, + "learning_rate": 2.982869665220367e-07, + "loss": 0.6787, + "step": 39237 + }, + { + "epoch": 0.92, + "grad_norm": 1.7501998784160324, + "learning_rate": 2.981020180592431e-07, + "loss": 0.8075, + "step": 39238 + }, + { + "epoch": 0.92, + "grad_norm": 0.7242271574817152, + "learning_rate": 2.9791712608397306e-07, + "loss": 0.6809, + "step": 39239 + }, + { + "epoch": 0.92, + "grad_norm": 0.7078761782857746, + "learning_rate": 2.977322905973001e-07, + "loss": 0.6824, + "step": 39240 + }, + { + "epoch": 0.92, + "grad_norm": 1.825352121199382, + "learning_rate": 2.975475116003013e-07, + "loss": 0.9713, + "step": 39241 + }, + { + "epoch": 0.92, + "grad_norm": 1.6213157655458268, + "learning_rate": 2.973627890940522e-07, + "loss": 0.7092, + "step": 39242 + }, + { + "epoch": 0.92, + "grad_norm": 1.6552318248469413, + "learning_rate": 2.971781230796289e-07, + "loss": 0.7608, + "step": 39243 + }, + { + "epoch": 0.92, + "grad_norm": 1.8435508132167517, + "learning_rate": 2.969935135581081e-07, + "loss": 0.8358, + "step": 39244 + }, + { + "epoch": 0.92, + "grad_norm": 1.6834730984252602, + "learning_rate": 2.968089605305613e-07, + "loss": 0.8314, + "step": 39245 + }, + { + "epoch": 0.92, + "grad_norm": 1.426634409107347, + "learning_rate": 2.966244639980642e-07, + "loss": 0.8904, + "step": 39246 + }, + { + "epoch": 0.92, + "grad_norm": 1.7926161720074396, + "learning_rate": 2.964400239616927e-07, + "loss": 0.8745, + "step": 39247 + }, + { + "epoch": 0.92, + "grad_norm": 1.5909056142474298, + "learning_rate": 2.962556404225192e-07, + "loss": 0.8188, + "step": 39248 + }, + { + "epoch": 0.92, + "grad_norm": 1.7457988353148022, + "learning_rate": 2.9607131338161733e-07, + "loss": 0.7882, + "step": 39249 + }, + { + "epoch": 0.92, + "grad_norm": 2.7066473330944545, + "learning_rate": 2.9588704284006176e-07, + "loss": 0.8157, + "step": 39250 + }, + { + "epoch": 0.92, + "grad_norm": 1.602904111902288, + "learning_rate": 2.9570282879892166e-07, + "loss": 0.7334, + "step": 39251 + }, + { + "epoch": 0.92, + "grad_norm": 1.7632671129495965, + "learning_rate": 2.955186712592739e-07, + "loss": 0.8164, + "step": 39252 + }, + { + "epoch": 0.92, + "grad_norm": 2.037241364781264, + "learning_rate": 2.953345702221877e-07, + "loss": 0.8536, + "step": 39253 + }, + { + "epoch": 0.92, + "grad_norm": 1.4872833303527733, + "learning_rate": 2.951505256887377e-07, + "loss": 0.8966, + "step": 39254 + }, + { + "epoch": 0.92, + "grad_norm": 1.650243974217331, + "learning_rate": 2.9496653765999196e-07, + "loss": 0.8779, + "step": 39255 + }, + { + "epoch": 0.92, + "grad_norm": 1.6306163654974577, + "learning_rate": 2.9478260613702513e-07, + "loss": 0.8861, + "step": 39256 + }, + { + "epoch": 0.92, + "grad_norm": 1.6297716952441514, + "learning_rate": 2.9459873112090644e-07, + "loss": 0.8944, + "step": 39257 + }, + { + "epoch": 0.92, + "grad_norm": 1.6405277130397442, + "learning_rate": 2.944149126127049e-07, + "loss": 0.8341, + "step": 39258 + }, + { + "epoch": 0.92, + "grad_norm": 1.7730791002124482, + "learning_rate": 2.9423115061349315e-07, + "loss": 0.8081, + "step": 39259 + }, + { + "epoch": 0.92, + "grad_norm": 1.562976496728614, + "learning_rate": 2.940474451243414e-07, + "loss": 0.7953, + "step": 39260 + }, + { + "epoch": 0.92, + "grad_norm": 1.5249528492901256, + "learning_rate": 2.9386379614631866e-07, + "loss": 0.7048, + "step": 39261 + }, + { + "epoch": 0.92, + "grad_norm": 1.5930666559157254, + "learning_rate": 2.93680203680492e-07, + "loss": 0.904, + "step": 39262 + }, + { + "epoch": 0.93, + "grad_norm": 1.371855101260835, + "learning_rate": 2.934966677279327e-07, + "loss": 0.7541, + "step": 39263 + }, + { + "epoch": 0.93, + "grad_norm": 1.6380635779153498, + "learning_rate": 2.9331318828971e-07, + "loss": 0.6706, + "step": 39264 + }, + { + "epoch": 0.93, + "grad_norm": 1.1010029667174563, + "learning_rate": 2.9312976536689076e-07, + "loss": 0.7195, + "step": 39265 + }, + { + "epoch": 0.93, + "grad_norm": 1.7958966044050488, + "learning_rate": 2.9294639896054187e-07, + "loss": 0.7778, + "step": 39266 + }, + { + "epoch": 0.93, + "grad_norm": 1.50052749900326, + "learning_rate": 2.927630890717326e-07, + "loss": 0.8433, + "step": 39267 + }, + { + "epoch": 0.93, + "grad_norm": 1.4867146693071, + "learning_rate": 2.925798357015308e-07, + "loss": 0.7138, + "step": 39268 + }, + { + "epoch": 0.93, + "grad_norm": 2.0538062674183095, + "learning_rate": 2.9239663885100244e-07, + "loss": 0.8317, + "step": 39269 + }, + { + "epoch": 0.93, + "grad_norm": 1.7473893048118851, + "learning_rate": 2.922134985212133e-07, + "loss": 0.8766, + "step": 39270 + }, + { + "epoch": 0.93, + "grad_norm": 1.5738631785642712, + "learning_rate": 2.9203041471323136e-07, + "loss": 0.8255, + "step": 39271 + }, + { + "epoch": 0.93, + "grad_norm": 1.5915903750996727, + "learning_rate": 2.918473874281214e-07, + "loss": 0.8219, + "step": 39272 + }, + { + "epoch": 0.93, + "grad_norm": 0.7891955978046468, + "learning_rate": 2.9166441666695023e-07, + "loss": 0.7264, + "step": 39273 + }, + { + "epoch": 0.93, + "grad_norm": 1.5848100614328213, + "learning_rate": 2.9148150243078154e-07, + "loss": 0.8294, + "step": 39274 + }, + { + "epoch": 0.93, + "grad_norm": 1.6147589445107446, + "learning_rate": 2.912986447206811e-07, + "loss": 0.7753, + "step": 39275 + }, + { + "epoch": 0.93, + "grad_norm": 1.6248889903303299, + "learning_rate": 2.911158435377137e-07, + "loss": 0.8051, + "step": 39276 + }, + { + "epoch": 0.93, + "grad_norm": 1.6367638152032216, + "learning_rate": 2.9093309888294507e-07, + "loss": 0.8053, + "step": 39277 + }, + { + "epoch": 0.93, + "grad_norm": 1.7892540926132596, + "learning_rate": 2.907504107574377e-07, + "loss": 0.8577, + "step": 39278 + }, + { + "epoch": 0.93, + "grad_norm": 1.6720178492581235, + "learning_rate": 2.90567779162253e-07, + "loss": 0.8113, + "step": 39279 + }, + { + "epoch": 0.93, + "grad_norm": 1.6420282830146504, + "learning_rate": 2.9038520409845785e-07, + "loss": 0.8411, + "step": 39280 + }, + { + "epoch": 0.93, + "grad_norm": 1.9056663604473523, + "learning_rate": 2.9020268556711475e-07, + "loss": 0.7755, + "step": 39281 + }, + { + "epoch": 0.93, + "grad_norm": 1.4067333379246174, + "learning_rate": 2.9002022356928615e-07, + "loss": 0.7677, + "step": 39282 + }, + { + "epoch": 0.93, + "grad_norm": 2.0334981336063804, + "learning_rate": 2.898378181060324e-07, + "loss": 0.8527, + "step": 39283 + }, + { + "epoch": 0.93, + "grad_norm": 1.785925540719505, + "learning_rate": 2.8965546917841705e-07, + "loss": 0.7972, + "step": 39284 + }, + { + "epoch": 0.93, + "grad_norm": 1.6851427576208455, + "learning_rate": 2.894731767875025e-07, + "loss": 0.8531, + "step": 39285 + }, + { + "epoch": 0.93, + "grad_norm": 0.7079675651386355, + "learning_rate": 2.892909409343503e-07, + "loss": 0.6983, + "step": 39286 + }, + { + "epoch": 0.93, + "grad_norm": 1.6715087139831941, + "learning_rate": 2.8910876162001835e-07, + "loss": 0.9126, + "step": 39287 + }, + { + "epoch": 0.93, + "grad_norm": 1.761642721776016, + "learning_rate": 2.8892663884557024e-07, + "loss": 0.8855, + "step": 39288 + }, + { + "epoch": 0.93, + "grad_norm": 1.7842656715714995, + "learning_rate": 2.8874457261206743e-07, + "loss": 0.822, + "step": 39289 + }, + { + "epoch": 0.93, + "grad_norm": 2.1077684265791117, + "learning_rate": 2.8856256292056797e-07, + "loss": 0.8486, + "step": 39290 + }, + { + "epoch": 0.93, + "grad_norm": 2.1428323743506126, + "learning_rate": 2.883806097721298e-07, + "loss": 0.8013, + "step": 39291 + }, + { + "epoch": 0.93, + "grad_norm": 2.015079931332382, + "learning_rate": 2.8819871316781543e-07, + "loss": 0.7539, + "step": 39292 + }, + { + "epoch": 0.93, + "grad_norm": 1.6556110924554115, + "learning_rate": 2.88016873108683e-07, + "loss": 0.7635, + "step": 39293 + }, + { + "epoch": 0.93, + "grad_norm": 1.548319478019079, + "learning_rate": 2.8783508959579153e-07, + "loss": 0.9131, + "step": 39294 + }, + { + "epoch": 0.93, + "grad_norm": 1.5958473226026753, + "learning_rate": 2.8765336263019805e-07, + "loss": 0.7704, + "step": 39295 + }, + { + "epoch": 0.93, + "grad_norm": 1.8138144136154293, + "learning_rate": 2.874716922129628e-07, + "loss": 0.7921, + "step": 39296 + }, + { + "epoch": 0.93, + "grad_norm": 0.7897003969600273, + "learning_rate": 2.8729007834514157e-07, + "loss": 0.7297, + "step": 39297 + }, + { + "epoch": 0.93, + "grad_norm": 2.0564605598629897, + "learning_rate": 2.871085210277924e-07, + "loss": 0.9722, + "step": 39298 + }, + { + "epoch": 0.93, + "grad_norm": 1.562869800396502, + "learning_rate": 2.869270202619723e-07, + "loss": 0.9893, + "step": 39299 + }, + { + "epoch": 0.93, + "grad_norm": 1.6557589323931026, + "learning_rate": 2.867455760487392e-07, + "loss": 1.0035, + "step": 39300 + }, + { + "epoch": 0.93, + "grad_norm": 1.7679654176902826, + "learning_rate": 2.865641883891468e-07, + "loss": 0.7859, + "step": 39301 + }, + { + "epoch": 0.93, + "grad_norm": 1.5697767438502717, + "learning_rate": 2.863828572842542e-07, + "loss": 0.7379, + "step": 39302 + }, + { + "epoch": 0.93, + "grad_norm": 1.6195367428074134, + "learning_rate": 2.862015827351172e-07, + "loss": 0.99, + "step": 39303 + }, + { + "epoch": 0.93, + "grad_norm": 1.7174906713260818, + "learning_rate": 2.860203647427873e-07, + "loss": 0.9407, + "step": 39304 + }, + { + "epoch": 0.93, + "grad_norm": 1.590398555285282, + "learning_rate": 2.8583920330832237e-07, + "loss": 0.7901, + "step": 39305 + }, + { + "epoch": 0.93, + "grad_norm": 2.044124023960372, + "learning_rate": 2.8565809843277726e-07, + "loss": 0.7998, + "step": 39306 + }, + { + "epoch": 0.93, + "grad_norm": 0.7436379378370547, + "learning_rate": 2.8547705011720885e-07, + "loss": 0.7144, + "step": 39307 + }, + { + "epoch": 0.93, + "grad_norm": 1.7510793920199832, + "learning_rate": 2.8529605836266625e-07, + "loss": 0.8719, + "step": 39308 + }, + { + "epoch": 0.93, + "grad_norm": 1.6458726588826873, + "learning_rate": 2.851151231702054e-07, + "loss": 0.7455, + "step": 39309 + }, + { + "epoch": 0.93, + "grad_norm": 1.5466154765957576, + "learning_rate": 2.849342445408809e-07, + "loss": 0.9215, + "step": 39310 + }, + { + "epoch": 0.93, + "grad_norm": 1.5951516424725953, + "learning_rate": 2.8475342247574535e-07, + "loss": 0.8445, + "step": 39311 + }, + { + "epoch": 0.93, + "grad_norm": 1.757998410963584, + "learning_rate": 2.8457265697585e-07, + "loss": 0.6977, + "step": 39312 + }, + { + "epoch": 0.93, + "grad_norm": 1.5748876826585014, + "learning_rate": 2.8439194804224857e-07, + "loss": 0.7965, + "step": 39313 + }, + { + "epoch": 0.93, + "grad_norm": 1.7384894821260461, + "learning_rate": 2.842112956759946e-07, + "loss": 0.8171, + "step": 39314 + }, + { + "epoch": 0.93, + "grad_norm": 1.4499903915219938, + "learning_rate": 2.8403069987813613e-07, + "loss": 0.9017, + "step": 39315 + }, + { + "epoch": 0.93, + "grad_norm": 1.8687008664716835, + "learning_rate": 2.8385016064972905e-07, + "loss": 0.9154, + "step": 39316 + }, + { + "epoch": 0.93, + "grad_norm": 2.064298659846387, + "learning_rate": 2.836696779918224e-07, + "loss": 0.7317, + "step": 39317 + }, + { + "epoch": 0.93, + "grad_norm": 2.1473331185691626, + "learning_rate": 2.834892519054655e-07, + "loss": 0.8521, + "step": 39318 + }, + { + "epoch": 0.93, + "grad_norm": 0.7485147194318262, + "learning_rate": 2.8330888239171074e-07, + "loss": 0.7208, + "step": 39319 + }, + { + "epoch": 0.93, + "grad_norm": 1.6215426323703916, + "learning_rate": 2.831285694516084e-07, + "loss": 0.7636, + "step": 39320 + }, + { + "epoch": 0.93, + "grad_norm": 1.5549297135099023, + "learning_rate": 2.829483130862076e-07, + "loss": 0.7181, + "step": 39321 + }, + { + "epoch": 0.93, + "grad_norm": 0.7951467255564842, + "learning_rate": 2.8276811329655764e-07, + "loss": 0.6882, + "step": 39322 + }, + { + "epoch": 0.93, + "grad_norm": 1.6761114930834766, + "learning_rate": 2.8258797008370865e-07, + "loss": 1.0063, + "step": 39323 + }, + { + "epoch": 0.93, + "grad_norm": 0.7673643304093025, + "learning_rate": 2.8240788344871094e-07, + "loss": 0.706, + "step": 39324 + }, + { + "epoch": 0.93, + "grad_norm": 1.528392884154665, + "learning_rate": 2.822278533926082e-07, + "loss": 0.8221, + "step": 39325 + }, + { + "epoch": 0.93, + "grad_norm": 2.463707600616808, + "learning_rate": 2.8204787991645163e-07, + "loss": 0.8743, + "step": 39326 + }, + { + "epoch": 0.93, + "grad_norm": 1.4335061802659619, + "learning_rate": 2.818679630212895e-07, + "loss": 0.8359, + "step": 39327 + }, + { + "epoch": 0.93, + "grad_norm": 1.7417513824099542, + "learning_rate": 2.816881027081697e-07, + "loss": 0.7181, + "step": 39328 + }, + { + "epoch": 0.93, + "grad_norm": 1.791279704498468, + "learning_rate": 2.8150829897813814e-07, + "loss": 0.7782, + "step": 39329 + }, + { + "epoch": 0.93, + "grad_norm": 0.7646417826847692, + "learning_rate": 2.813285518322417e-07, + "loss": 0.6987, + "step": 39330 + }, + { + "epoch": 0.93, + "grad_norm": 1.5394549954398045, + "learning_rate": 2.811488612715274e-07, + "loss": 0.825, + "step": 39331 + }, + { + "epoch": 0.93, + "grad_norm": 0.7424807666140198, + "learning_rate": 2.80969227297041e-07, + "loss": 0.6678, + "step": 39332 + }, + { + "epoch": 0.93, + "grad_norm": 1.7933429297414982, + "learning_rate": 2.807896499098295e-07, + "loss": 0.8648, + "step": 39333 + }, + { + "epoch": 0.93, + "grad_norm": 1.7225536750902408, + "learning_rate": 2.8061012911093756e-07, + "loss": 0.7714, + "step": 39334 + }, + { + "epoch": 0.93, + "grad_norm": 1.535629653574312, + "learning_rate": 2.804306649014099e-07, + "loss": 0.7636, + "step": 39335 + }, + { + "epoch": 0.93, + "grad_norm": 1.7894886143959667, + "learning_rate": 2.802512572822924e-07, + "loss": 0.8884, + "step": 39336 + }, + { + "epoch": 0.93, + "grad_norm": 0.7518986053255721, + "learning_rate": 2.800719062546298e-07, + "loss": 0.6883, + "step": 39337 + }, + { + "epoch": 0.93, + "grad_norm": 1.5936195274878107, + "learning_rate": 2.798926118194667e-07, + "loss": 0.9532, + "step": 39338 + }, + { + "epoch": 0.93, + "grad_norm": 1.6238673425839343, + "learning_rate": 2.797133739778435e-07, + "loss": 0.7352, + "step": 39339 + }, + { + "epoch": 0.93, + "grad_norm": 0.7597170651414415, + "learning_rate": 2.795341927308082e-07, + "loss": 0.6841, + "step": 39340 + }, + { + "epoch": 0.93, + "grad_norm": 1.6794967489341976, + "learning_rate": 2.793550680794022e-07, + "loss": 0.8716, + "step": 39341 + }, + { + "epoch": 0.93, + "grad_norm": 1.517813904499785, + "learning_rate": 2.79176000024669e-07, + "loss": 0.8884, + "step": 39342 + }, + { + "epoch": 0.93, + "grad_norm": 1.8588358777038636, + "learning_rate": 2.789969885676491e-07, + "loss": 0.8973, + "step": 39343 + }, + { + "epoch": 0.93, + "grad_norm": 3.895308028805095, + "learning_rate": 2.78818033709386e-07, + "loss": 0.7242, + "step": 39344 + }, + { + "epoch": 0.93, + "grad_norm": 2.1913462083085027, + "learning_rate": 2.7863913545092434e-07, + "loss": 0.8818, + "step": 39345 + }, + { + "epoch": 0.93, + "grad_norm": 1.5571772490532017, + "learning_rate": 2.784602937933023e-07, + "loss": 0.8285, + "step": 39346 + }, + { + "epoch": 0.93, + "grad_norm": 1.7037893202729257, + "learning_rate": 2.7828150873756124e-07, + "loss": 0.7335, + "step": 39347 + }, + { + "epoch": 0.93, + "grad_norm": 1.8255428393921398, + "learning_rate": 2.781027802847436e-07, + "loss": 0.7924, + "step": 39348 + }, + { + "epoch": 0.93, + "grad_norm": 1.6602444614262972, + "learning_rate": 2.779241084358908e-07, + "loss": 0.7704, + "step": 39349 + }, + { + "epoch": 0.93, + "grad_norm": 1.6725533827054972, + "learning_rate": 2.777454931920409e-07, + "loss": 0.8948, + "step": 39350 + }, + { + "epoch": 0.93, + "grad_norm": 1.8904513053794048, + "learning_rate": 2.775669345542342e-07, + "loss": 0.7344, + "step": 39351 + }, + { + "epoch": 0.93, + "grad_norm": 1.4485594475257009, + "learning_rate": 2.773884325235121e-07, + "loss": 0.8665, + "step": 39352 + }, + { + "epoch": 0.93, + "grad_norm": 1.7221028399042784, + "learning_rate": 2.772099871009115e-07, + "loss": 0.9541, + "step": 39353 + }, + { + "epoch": 0.93, + "grad_norm": 0.8267967761984384, + "learning_rate": 2.770315982874727e-07, + "loss": 0.7018, + "step": 39354 + }, + { + "epoch": 0.93, + "grad_norm": 1.568171131752318, + "learning_rate": 2.768532660842349e-07, + "loss": 0.8333, + "step": 39355 + }, + { + "epoch": 0.93, + "grad_norm": 1.8839261429888903, + "learning_rate": 2.76674990492235e-07, + "loss": 0.795, + "step": 39356 + }, + { + "epoch": 0.93, + "grad_norm": 1.5370151891451969, + "learning_rate": 2.764967715125111e-07, + "loss": 0.7858, + "step": 39357 + }, + { + "epoch": 0.93, + "grad_norm": 1.6687464952069304, + "learning_rate": 2.763186091461034e-07, + "loss": 0.7604, + "step": 39358 + }, + { + "epoch": 0.93, + "grad_norm": 1.5939181789442072, + "learning_rate": 2.761405033940467e-07, + "loss": 0.878, + "step": 39359 + }, + { + "epoch": 0.93, + "grad_norm": 1.8910406414302978, + "learning_rate": 2.759624542573769e-07, + "loss": 0.9517, + "step": 39360 + }, + { + "epoch": 0.93, + "grad_norm": 2.5244721439295685, + "learning_rate": 2.7578446173713305e-07, + "loss": 0.7608, + "step": 39361 + }, + { + "epoch": 0.93, + "grad_norm": 1.6253952679130022, + "learning_rate": 2.7560652583435097e-07, + "loss": 0.8131, + "step": 39362 + }, + { + "epoch": 0.93, + "grad_norm": 2.169574566993104, + "learning_rate": 2.754286465500666e-07, + "loss": 0.934, + "step": 39363 + }, + { + "epoch": 0.93, + "grad_norm": 1.6308368914733287, + "learning_rate": 2.7525082388531465e-07, + "loss": 0.7814, + "step": 39364 + }, + { + "epoch": 0.93, + "grad_norm": 1.7010544556142504, + "learning_rate": 2.7507305784113094e-07, + "loss": 0.7907, + "step": 39365 + }, + { + "epoch": 0.93, + "grad_norm": 1.608826994854698, + "learning_rate": 2.7489534841855235e-07, + "loss": 0.6486, + "step": 39366 + }, + { + "epoch": 0.93, + "grad_norm": 1.4095775276200677, + "learning_rate": 2.747176956186115e-07, + "loss": 0.7405, + "step": 39367 + }, + { + "epoch": 0.93, + "grad_norm": 1.4526876160776896, + "learning_rate": 2.7454009944234195e-07, + "loss": 0.8906, + "step": 39368 + }, + { + "epoch": 0.93, + "grad_norm": 1.4734000318937874, + "learning_rate": 2.7436255989077844e-07, + "loss": 0.8243, + "step": 39369 + }, + { + "epoch": 0.93, + "grad_norm": 1.9463329952778992, + "learning_rate": 2.741850769649579e-07, + "loss": 0.815, + "step": 39370 + }, + { + "epoch": 0.93, + "grad_norm": 0.7845723387310934, + "learning_rate": 2.740076506659095e-07, + "loss": 0.7559, + "step": 39371 + }, + { + "epoch": 0.93, + "grad_norm": 1.5143549440399238, + "learning_rate": 2.738302809946669e-07, + "loss": 0.844, + "step": 39372 + }, + { + "epoch": 0.93, + "grad_norm": 1.5495478019277376, + "learning_rate": 2.736529679522659e-07, + "loss": 0.8081, + "step": 39373 + }, + { + "epoch": 0.93, + "grad_norm": 1.648123801185013, + "learning_rate": 2.734757115397346e-07, + "loss": 0.8278, + "step": 39374 + }, + { + "epoch": 0.93, + "grad_norm": 1.755324152466724, + "learning_rate": 2.732985117581077e-07, + "loss": 0.8686, + "step": 39375 + }, + { + "epoch": 0.93, + "grad_norm": 1.8040915645974793, + "learning_rate": 2.7312136860841666e-07, + "loss": 0.9475, + "step": 39376 + }, + { + "epoch": 0.93, + "grad_norm": 1.7928811420338253, + "learning_rate": 2.729442820916928e-07, + "loss": 0.8607, + "step": 39377 + }, + { + "epoch": 0.93, + "grad_norm": 1.9297517751486812, + "learning_rate": 2.7276725220896526e-07, + "loss": 0.7428, + "step": 39378 + }, + { + "epoch": 0.93, + "grad_norm": 1.7761975568040869, + "learning_rate": 2.7259027896126776e-07, + "loss": 0.689, + "step": 39379 + }, + { + "epoch": 0.93, + "grad_norm": 1.5454166214666076, + "learning_rate": 2.7241336234962943e-07, + "loss": 0.7629, + "step": 39380 + }, + { + "epoch": 0.93, + "grad_norm": 1.8191822077947604, + "learning_rate": 2.722365023750795e-07, + "loss": 0.7883, + "step": 39381 + }, + { + "epoch": 0.93, + "grad_norm": 1.560852971563544, + "learning_rate": 2.7205969903864814e-07, + "loss": 0.8714, + "step": 39382 + }, + { + "epoch": 0.93, + "grad_norm": 1.5520628868907667, + "learning_rate": 2.7188295234136575e-07, + "loss": 0.8758, + "step": 39383 + }, + { + "epoch": 0.93, + "grad_norm": 1.7406701261431048, + "learning_rate": 2.717062622842603e-07, + "loss": 0.8843, + "step": 39384 + }, + { + "epoch": 0.93, + "grad_norm": 1.6833279580279208, + "learning_rate": 2.715296288683611e-07, + "loss": 0.6785, + "step": 39385 + }, + { + "epoch": 0.93, + "grad_norm": 1.6376090488898296, + "learning_rate": 2.7135305209469607e-07, + "loss": 0.8465, + "step": 39386 + }, + { + "epoch": 0.93, + "grad_norm": 1.4817206962363212, + "learning_rate": 2.7117653196429337e-07, + "loss": 0.8161, + "step": 39387 + }, + { + "epoch": 0.93, + "grad_norm": 1.6484659621727316, + "learning_rate": 2.7100006847818214e-07, + "loss": 0.8897, + "step": 39388 + }, + { + "epoch": 0.93, + "grad_norm": 1.4683474868926862, + "learning_rate": 2.7082366163738825e-07, + "loss": 0.6877, + "step": 39389 + }, + { + "epoch": 0.93, + "grad_norm": 1.6930467383226742, + "learning_rate": 2.7064731144293755e-07, + "loss": 0.8478, + "step": 39390 + }, + { + "epoch": 0.93, + "grad_norm": 1.4769261704049497, + "learning_rate": 2.7047101789586026e-07, + "loss": 0.7666, + "step": 39391 + }, + { + "epoch": 0.93, + "grad_norm": 1.5521542404434623, + "learning_rate": 2.702947809971812e-07, + "loss": 0.8973, + "step": 39392 + }, + { + "epoch": 0.93, + "grad_norm": 0.7235038349144669, + "learning_rate": 2.7011860074792616e-07, + "loss": 0.7157, + "step": 39393 + }, + { + "epoch": 0.93, + "grad_norm": 1.9126279514060567, + "learning_rate": 2.6994247714912103e-07, + "loss": 0.844, + "step": 39394 + }, + { + "epoch": 0.93, + "grad_norm": 3.528394873955311, + "learning_rate": 2.697664102017905e-07, + "loss": 0.7397, + "step": 39395 + }, + { + "epoch": 0.93, + "grad_norm": 0.8156874923887424, + "learning_rate": 2.6959039990696046e-07, + "loss": 0.7113, + "step": 39396 + }, + { + "epoch": 0.93, + "grad_norm": 0.7633855000850475, + "learning_rate": 2.694144462656556e-07, + "loss": 0.6641, + "step": 39397 + }, + { + "epoch": 0.93, + "grad_norm": 1.6549663597502586, + "learning_rate": 2.692385492789018e-07, + "loss": 0.8039, + "step": 39398 + }, + { + "epoch": 0.93, + "grad_norm": 1.623089208503412, + "learning_rate": 2.6906270894772047e-07, + "loss": 0.8462, + "step": 39399 + }, + { + "epoch": 0.93, + "grad_norm": 1.7608623039856224, + "learning_rate": 2.688869252731374e-07, + "loss": 0.8112, + "step": 39400 + }, + { + "epoch": 0.93, + "grad_norm": 1.613259936291781, + "learning_rate": 2.687111982561763e-07, + "loss": 0.7956, + "step": 39401 + }, + { + "epoch": 0.93, + "grad_norm": 1.7026262904179565, + "learning_rate": 2.6853552789785855e-07, + "loss": 0.7906, + "step": 39402 + }, + { + "epoch": 0.93, + "grad_norm": 1.6263803339065868, + "learning_rate": 2.683599141992077e-07, + "loss": 0.7759, + "step": 39403 + }, + { + "epoch": 0.93, + "grad_norm": 0.7578191456583225, + "learning_rate": 2.6818435716124525e-07, + "loss": 0.7, + "step": 39404 + }, + { + "epoch": 0.93, + "grad_norm": 1.5450579305134757, + "learning_rate": 2.680088567849981e-07, + "loss": 0.7989, + "step": 39405 + }, + { + "epoch": 0.93, + "grad_norm": 1.6145314744687231, + "learning_rate": 2.6783341307148103e-07, + "loss": 0.7614, + "step": 39406 + }, + { + "epoch": 0.93, + "grad_norm": 1.684698797384698, + "learning_rate": 2.6765802602171987e-07, + "loss": 0.8143, + "step": 39407 + }, + { + "epoch": 0.93, + "grad_norm": 1.4136186998950466, + "learning_rate": 2.674826956367349e-07, + "loss": 0.7062, + "step": 39408 + }, + { + "epoch": 0.93, + "grad_norm": 1.6995265724694442, + "learning_rate": 2.6730742191754864e-07, + "loss": 0.9069, + "step": 39409 + }, + { + "epoch": 0.93, + "grad_norm": 1.6937038687954702, + "learning_rate": 2.671322048651781e-07, + "loss": 0.7662, + "step": 39410 + }, + { + "epoch": 0.93, + "grad_norm": 1.7717804689557979, + "learning_rate": 2.6695704448064575e-07, + "loss": 0.8661, + "step": 39411 + }, + { + "epoch": 0.93, + "grad_norm": 1.6590206346522183, + "learning_rate": 2.6678194076497187e-07, + "loss": 0.8139, + "step": 39412 + }, + { + "epoch": 0.93, + "grad_norm": 1.6107103849561732, + "learning_rate": 2.6660689371917346e-07, + "loss": 0.7077, + "step": 39413 + }, + { + "epoch": 0.93, + "grad_norm": 2.0166796003267824, + "learning_rate": 2.6643190334427194e-07, + "loss": 0.7395, + "step": 39414 + }, + { + "epoch": 0.93, + "grad_norm": 1.7180695362590535, + "learning_rate": 2.662569696412842e-07, + "loss": 0.8429, + "step": 39415 + }, + { + "epoch": 0.93, + "grad_norm": 1.6273929585946247, + "learning_rate": 2.6608209261123176e-07, + "loss": 0.778, + "step": 39416 + }, + { + "epoch": 0.93, + "grad_norm": 1.8500224024632845, + "learning_rate": 2.659072722551304e-07, + "loss": 0.7454, + "step": 39417 + }, + { + "epoch": 0.93, + "grad_norm": 0.7907850192428914, + "learning_rate": 2.657325085739992e-07, + "loss": 0.7074, + "step": 39418 + }, + { + "epoch": 0.93, + "grad_norm": 0.8674814330302266, + "learning_rate": 2.6555780156885533e-07, + "loss": 0.7776, + "step": 39419 + }, + { + "epoch": 0.93, + "grad_norm": 0.7940892383666985, + "learning_rate": 2.6538315124071454e-07, + "loss": 0.6802, + "step": 39420 + }, + { + "epoch": 0.93, + "grad_norm": 1.8099677700395076, + "learning_rate": 2.652085575905949e-07, + "loss": 0.8632, + "step": 39421 + }, + { + "epoch": 0.93, + "grad_norm": 1.4840019416070602, + "learning_rate": 2.6503402061951456e-07, + "loss": 0.8006, + "step": 39422 + }, + { + "epoch": 0.93, + "grad_norm": 1.8245246265768493, + "learning_rate": 2.6485954032848814e-07, + "loss": 0.8201, + "step": 39423 + }, + { + "epoch": 0.93, + "grad_norm": 1.842298218404409, + "learning_rate": 2.6468511671853047e-07, + "loss": 0.7579, + "step": 39424 + }, + { + "epoch": 0.93, + "grad_norm": 1.6772547000313, + "learning_rate": 2.645107497906574e-07, + "loss": 0.8157, + "step": 39425 + }, + { + "epoch": 0.93, + "grad_norm": 1.6146666329456734, + "learning_rate": 2.6433643954588695e-07, + "loss": 0.8943, + "step": 39426 + }, + { + "epoch": 0.93, + "grad_norm": 1.8505840606132644, + "learning_rate": 2.641621859852317e-07, + "loss": 0.8697, + "step": 39427 + }, + { + "epoch": 0.93, + "grad_norm": 2.158523631274032, + "learning_rate": 2.6398798910970525e-07, + "loss": 0.8178, + "step": 39428 + }, + { + "epoch": 0.93, + "grad_norm": 1.5684652144694986, + "learning_rate": 2.638138489203235e-07, + "loss": 0.8389, + "step": 39429 + }, + { + "epoch": 0.93, + "grad_norm": 1.8419363659190313, + "learning_rate": 2.636397654181011e-07, + "loss": 0.9851, + "step": 39430 + }, + { + "epoch": 0.93, + "grad_norm": 1.685736561495827, + "learning_rate": 2.6346573860404954e-07, + "loss": 0.7904, + "step": 39431 + }, + { + "epoch": 0.93, + "grad_norm": 1.5957644449636088, + "learning_rate": 2.6329176847918245e-07, + "loss": 0.8043, + "step": 39432 + }, + { + "epoch": 0.93, + "grad_norm": 1.6543875264660737, + "learning_rate": 2.631178550445146e-07, + "loss": 0.8246, + "step": 39433 + }, + { + "epoch": 0.93, + "grad_norm": 0.7329779632051291, + "learning_rate": 2.629439983010562e-07, + "loss": 0.6458, + "step": 39434 + }, + { + "epoch": 0.93, + "grad_norm": 1.7697243451255718, + "learning_rate": 2.627701982498221e-07, + "loss": 0.7727, + "step": 39435 + }, + { + "epoch": 0.93, + "grad_norm": 1.7291278747874033, + "learning_rate": 2.625964548918203e-07, + "loss": 0.7861, + "step": 39436 + }, + { + "epoch": 0.93, + "grad_norm": 0.7552517098131952, + "learning_rate": 2.6242276822806666e-07, + "loss": 0.7373, + "step": 39437 + }, + { + "epoch": 0.93, + "grad_norm": 1.428421279451459, + "learning_rate": 2.6224913825956933e-07, + "loss": 0.8546, + "step": 39438 + }, + { + "epoch": 0.93, + "grad_norm": 1.6177254207765985, + "learning_rate": 2.6207556498734076e-07, + "loss": 0.9415, + "step": 39439 + }, + { + "epoch": 0.93, + "grad_norm": 0.7551884511287822, + "learning_rate": 2.6190204841239244e-07, + "loss": 0.7581, + "step": 39440 + }, + { + "epoch": 0.93, + "grad_norm": 0.7953332089141016, + "learning_rate": 2.6172858853573125e-07, + "loss": 0.6493, + "step": 39441 + }, + { + "epoch": 0.93, + "grad_norm": 1.570679393785061, + "learning_rate": 2.6155518535836976e-07, + "loss": 0.828, + "step": 39442 + }, + { + "epoch": 0.93, + "grad_norm": 1.6912087521241275, + "learning_rate": 2.6138183888131827e-07, + "loss": 0.9045, + "step": 39443 + }, + { + "epoch": 0.93, + "grad_norm": 1.6886022921278283, + "learning_rate": 2.612085491055849e-07, + "loss": 0.8844, + "step": 39444 + }, + { + "epoch": 0.93, + "grad_norm": 1.5992212403402484, + "learning_rate": 2.610353160321777e-07, + "loss": 0.7225, + "step": 39445 + }, + { + "epoch": 0.93, + "grad_norm": 1.5486884122135125, + "learning_rate": 2.6086213966210697e-07, + "loss": 0.9172, + "step": 39446 + }, + { + "epoch": 0.93, + "grad_norm": 1.6950496272906803, + "learning_rate": 2.6068901999637965e-07, + "loss": 0.7046, + "step": 39447 + }, + { + "epoch": 0.93, + "grad_norm": 1.8630053762511025, + "learning_rate": 2.6051595703600494e-07, + "loss": 0.7975, + "step": 39448 + }, + { + "epoch": 0.93, + "grad_norm": 1.5779130084261102, + "learning_rate": 2.603429507819888e-07, + "loss": 0.7596, + "step": 39449 + }, + { + "epoch": 0.93, + "grad_norm": 1.6490425643762718, + "learning_rate": 2.601700012353392e-07, + "loss": 0.7757, + "step": 39450 + }, + { + "epoch": 0.93, + "grad_norm": 1.4951233692013364, + "learning_rate": 2.5999710839706537e-07, + "loss": 0.8059, + "step": 39451 + }, + { + "epoch": 0.93, + "grad_norm": 1.6744688386334259, + "learning_rate": 2.59824272268171e-07, + "loss": 0.8504, + "step": 39452 + }, + { + "epoch": 0.93, + "grad_norm": 1.5954394293894993, + "learning_rate": 2.5965149284966297e-07, + "loss": 0.7784, + "step": 39453 + }, + { + "epoch": 0.93, + "grad_norm": 1.5247839903272733, + "learning_rate": 2.594787701425483e-07, + "loss": 0.7743, + "step": 39454 + }, + { + "epoch": 0.93, + "grad_norm": 1.5537345895182268, + "learning_rate": 2.5930610414783177e-07, + "loss": 0.7264, + "step": 39455 + }, + { + "epoch": 0.93, + "grad_norm": 1.7267582303061937, + "learning_rate": 2.591334948665192e-07, + "loss": 0.8793, + "step": 39456 + }, + { + "epoch": 0.93, + "grad_norm": 1.510586268633382, + "learning_rate": 2.589609422996142e-07, + "loss": 0.8669, + "step": 39457 + }, + { + "epoch": 0.93, + "grad_norm": 1.7280483513543043, + "learning_rate": 2.587884464481238e-07, + "loss": 0.9049, + "step": 39458 + }, + { + "epoch": 0.93, + "grad_norm": 1.419365132258493, + "learning_rate": 2.586160073130506e-07, + "loss": 0.8716, + "step": 39459 + }, + { + "epoch": 0.93, + "grad_norm": 1.7350485953957941, + "learning_rate": 2.584436248954003e-07, + "loss": 0.7645, + "step": 39460 + }, + { + "epoch": 0.93, + "grad_norm": 0.7213684472598025, + "learning_rate": 2.582712991961744e-07, + "loss": 0.6294, + "step": 39461 + }, + { + "epoch": 0.93, + "grad_norm": 1.576542622363645, + "learning_rate": 2.580990302163766e-07, + "loss": 0.7408, + "step": 39462 + }, + { + "epoch": 0.93, + "grad_norm": 1.736410116996907, + "learning_rate": 2.5792681795701046e-07, + "loss": 0.8141, + "step": 39463 + }, + { + "epoch": 0.93, + "grad_norm": 1.667215774808566, + "learning_rate": 2.577546624190797e-07, + "loss": 0.8965, + "step": 39464 + }, + { + "epoch": 0.93, + "grad_norm": 2.466265593833893, + "learning_rate": 2.5758256360358444e-07, + "loss": 0.7699, + "step": 39465 + }, + { + "epoch": 0.93, + "grad_norm": 1.5410520305808504, + "learning_rate": 2.5741052151152855e-07, + "loss": 0.8916, + "step": 39466 + }, + { + "epoch": 0.93, + "grad_norm": 1.6229436088913, + "learning_rate": 2.5723853614391225e-07, + "loss": 0.7909, + "step": 39467 + }, + { + "epoch": 0.93, + "grad_norm": 1.797852250850956, + "learning_rate": 2.5706660750173916e-07, + "loss": 0.8515, + "step": 39468 + }, + { + "epoch": 0.93, + "grad_norm": 1.6174911659551507, + "learning_rate": 2.568947355860085e-07, + "loss": 0.8297, + "step": 39469 + }, + { + "epoch": 0.93, + "grad_norm": 1.7986597078486, + "learning_rate": 2.567229203977206e-07, + "loss": 0.7404, + "step": 39470 + }, + { + "epoch": 0.93, + "grad_norm": 1.8192901720750032, + "learning_rate": 2.565511619378758e-07, + "loss": 0.8751, + "step": 39471 + }, + { + "epoch": 0.93, + "grad_norm": 1.6265463788204597, + "learning_rate": 2.563794602074765e-07, + "loss": 0.9054, + "step": 39472 + }, + { + "epoch": 0.93, + "grad_norm": 1.6808242930312942, + "learning_rate": 2.562078152075209e-07, + "loss": 0.7605, + "step": 39473 + }, + { + "epoch": 0.93, + "grad_norm": 1.392385366330525, + "learning_rate": 2.560362269390071e-07, + "loss": 0.729, + "step": 39474 + }, + { + "epoch": 0.93, + "grad_norm": 1.572391597109795, + "learning_rate": 2.5586469540293643e-07, + "loss": 0.7502, + "step": 39475 + }, + { + "epoch": 0.93, + "grad_norm": 1.3955850097668008, + "learning_rate": 2.5569322060030487e-07, + "loss": 0.8165, + "step": 39476 + }, + { + "epoch": 0.93, + "grad_norm": 1.7370336673932842, + "learning_rate": 2.555218025321138e-07, + "loss": 0.7736, + "step": 39477 + }, + { + "epoch": 0.93, + "grad_norm": 1.6425199116520337, + "learning_rate": 2.5535044119935903e-07, + "loss": 0.812, + "step": 39478 + }, + { + "epoch": 0.93, + "grad_norm": 1.4359999069964435, + "learning_rate": 2.5517913660303984e-07, + "loss": 0.7934, + "step": 39479 + }, + { + "epoch": 0.93, + "grad_norm": 1.690333987881096, + "learning_rate": 2.5500788874415097e-07, + "loss": 0.738, + "step": 39480 + }, + { + "epoch": 0.93, + "grad_norm": 1.604771666588923, + "learning_rate": 2.5483669762369377e-07, + "loss": 0.8924, + "step": 39481 + }, + { + "epoch": 0.93, + "grad_norm": 1.6694396907936895, + "learning_rate": 2.54665563242662e-07, + "loss": 0.7351, + "step": 39482 + }, + { + "epoch": 0.93, + "grad_norm": 1.4589812586392334, + "learning_rate": 2.544944856020515e-07, + "loss": 0.8818, + "step": 39483 + }, + { + "epoch": 0.93, + "grad_norm": 1.613494702698277, + "learning_rate": 2.543234647028603e-07, + "loss": 0.8104, + "step": 39484 + }, + { + "epoch": 0.93, + "grad_norm": 2.4933309600283486, + "learning_rate": 2.541525005460821e-07, + "loss": 0.6753, + "step": 39485 + }, + { + "epoch": 0.93, + "grad_norm": 1.4166144466917074, + "learning_rate": 2.539815931327161e-07, + "loss": 0.7494, + "step": 39486 + }, + { + "epoch": 0.93, + "grad_norm": 1.6598488169249896, + "learning_rate": 2.538107424637526e-07, + "loss": 0.9088, + "step": 39487 + }, + { + "epoch": 0.93, + "grad_norm": 1.5858486349677121, + "learning_rate": 2.536399485401897e-07, + "loss": 0.9699, + "step": 39488 + }, + { + "epoch": 0.93, + "grad_norm": 0.7400869924241033, + "learning_rate": 2.5346921136301995e-07, + "loss": 0.7254, + "step": 39489 + }, + { + "epoch": 0.93, + "grad_norm": 1.9277545180489437, + "learning_rate": 2.532985309332392e-07, + "loss": 0.6773, + "step": 39490 + }, + { + "epoch": 0.93, + "grad_norm": 1.8903337691484523, + "learning_rate": 2.531279072518389e-07, + "loss": 0.7343, + "step": 39491 + }, + { + "epoch": 0.93, + "grad_norm": 1.735513822236833, + "learning_rate": 2.529573403198138e-07, + "loss": 0.9101, + "step": 39492 + }, + { + "epoch": 0.93, + "grad_norm": 1.5313980156216067, + "learning_rate": 2.5278683013815755e-07, + "loss": 0.8183, + "step": 39493 + }, + { + "epoch": 0.93, + "grad_norm": 1.5779977387124313, + "learning_rate": 2.5261637670786266e-07, + "loss": 0.8238, + "step": 39494 + }, + { + "epoch": 0.93, + "grad_norm": 2.4249294626406668, + "learning_rate": 2.524459800299206e-07, + "loss": 0.707, + "step": 39495 + }, + { + "epoch": 0.93, + "grad_norm": 1.7198076250387409, + "learning_rate": 2.522756401053239e-07, + "loss": 0.8023, + "step": 39496 + }, + { + "epoch": 0.93, + "grad_norm": 1.6494902517450123, + "learning_rate": 2.521053569350651e-07, + "loss": 0.7398, + "step": 39497 + }, + { + "epoch": 0.93, + "grad_norm": 0.8101699029682864, + "learning_rate": 2.5193513052013343e-07, + "loss": 0.7442, + "step": 39498 + }, + { + "epoch": 0.93, + "grad_norm": 1.7437953192659792, + "learning_rate": 2.517649608615236e-07, + "loss": 0.9853, + "step": 39499 + }, + { + "epoch": 0.93, + "grad_norm": 1.5667852089515226, + "learning_rate": 2.515948479602237e-07, + "loss": 0.7382, + "step": 39500 + }, + { + "epoch": 0.93, + "grad_norm": 0.8210695803344075, + "learning_rate": 2.5142479181722525e-07, + "loss": 0.7479, + "step": 39501 + }, + { + "epoch": 0.93, + "grad_norm": 1.4921471755086522, + "learning_rate": 2.512547924335162e-07, + "loss": 0.8687, + "step": 39502 + }, + { + "epoch": 0.93, + "grad_norm": 1.531638323830304, + "learning_rate": 2.510848498100915e-07, + "loss": 0.8581, + "step": 39503 + }, + { + "epoch": 0.93, + "grad_norm": 1.7519985989994364, + "learning_rate": 2.509149639479347e-07, + "loss": 0.7329, + "step": 39504 + }, + { + "epoch": 0.93, + "grad_norm": 1.3662621618322934, + "learning_rate": 2.507451348480372e-07, + "loss": 0.7409, + "step": 39505 + }, + { + "epoch": 0.93, + "grad_norm": 2.062534799068314, + "learning_rate": 2.505753625113894e-07, + "loss": 0.8824, + "step": 39506 + }, + { + "epoch": 0.93, + "grad_norm": 0.7551755995856885, + "learning_rate": 2.504056469389793e-07, + "loss": 0.6812, + "step": 39507 + }, + { + "epoch": 0.93, + "grad_norm": 1.7609996822417513, + "learning_rate": 2.502359881317917e-07, + "loss": 0.7836, + "step": 39508 + }, + { + "epoch": 0.93, + "grad_norm": 1.9911391370321105, + "learning_rate": 2.500663860908181e-07, + "loss": 0.8375, + "step": 39509 + }, + { + "epoch": 0.93, + "grad_norm": 1.6137588900094064, + "learning_rate": 2.4989684081704545e-07, + "loss": 0.8333, + "step": 39510 + }, + { + "epoch": 0.93, + "grad_norm": 2.1716478516512674, + "learning_rate": 2.497273523114585e-07, + "loss": 0.9339, + "step": 39511 + }, + { + "epoch": 0.93, + "grad_norm": 1.6492539397480266, + "learning_rate": 2.495579205750476e-07, + "loss": 0.8783, + "step": 39512 + }, + { + "epoch": 0.93, + "grad_norm": 1.789990859854414, + "learning_rate": 2.493885456087963e-07, + "loss": 0.798, + "step": 39513 + }, + { + "epoch": 0.93, + "grad_norm": 1.4796123964705388, + "learning_rate": 2.4921922741369286e-07, + "loss": 0.8062, + "step": 39514 + }, + { + "epoch": 0.93, + "grad_norm": 1.6395732705924793, + "learning_rate": 2.4904996599072087e-07, + "loss": 0.6901, + "step": 39515 + }, + { + "epoch": 0.93, + "grad_norm": 1.5454948110015796, + "learning_rate": 2.4888076134086834e-07, + "loss": 0.8617, + "step": 39516 + }, + { + "epoch": 0.93, + "grad_norm": 1.943128920718523, + "learning_rate": 2.4871161346511906e-07, + "loss": 0.7121, + "step": 39517 + }, + { + "epoch": 0.93, + "grad_norm": 1.7393751044284376, + "learning_rate": 2.4854252236445664e-07, + "loss": 0.877, + "step": 39518 + }, + { + "epoch": 0.93, + "grad_norm": 1.3487880330962336, + "learning_rate": 2.4837348803986803e-07, + "loss": 0.647, + "step": 39519 + }, + { + "epoch": 0.93, + "grad_norm": 1.4855475825412892, + "learning_rate": 2.4820451049233585e-07, + "loss": 0.8215, + "step": 39520 + }, + { + "epoch": 0.93, + "grad_norm": 1.6043245409321762, + "learning_rate": 2.480355897228448e-07, + "loss": 0.8043, + "step": 39521 + }, + { + "epoch": 0.93, + "grad_norm": 1.4757661595397822, + "learning_rate": 2.4786672573237744e-07, + "loss": 0.9227, + "step": 39522 + }, + { + "epoch": 0.93, + "grad_norm": 1.7901808388897074, + "learning_rate": 2.476979185219175e-07, + "loss": 0.8193, + "step": 39523 + }, + { + "epoch": 0.93, + "grad_norm": 1.589497265665126, + "learning_rate": 2.4752916809244856e-07, + "loss": 0.9027, + "step": 39524 + }, + { + "epoch": 0.93, + "grad_norm": 0.7670985953768441, + "learning_rate": 2.4736047444495206e-07, + "loss": 0.6645, + "step": 39525 + }, + { + "epoch": 0.93, + "grad_norm": 1.609202814399713, + "learning_rate": 2.4719183758041056e-07, + "loss": 0.8195, + "step": 39526 + }, + { + "epoch": 0.93, + "grad_norm": 1.421125225070306, + "learning_rate": 2.470232574998044e-07, + "loss": 0.7836, + "step": 39527 + }, + { + "epoch": 0.93, + "grad_norm": 1.5572536076869388, + "learning_rate": 2.468547342041183e-07, + "loss": 0.8835, + "step": 39528 + }, + { + "epoch": 0.93, + "grad_norm": 1.6287721457140825, + "learning_rate": 2.4668626769433155e-07, + "loss": 0.8738, + "step": 39529 + }, + { + "epoch": 0.93, + "grad_norm": 1.5480060638295583, + "learning_rate": 2.4651785797142447e-07, + "loss": 0.7406, + "step": 39530 + }, + { + "epoch": 0.93, + "grad_norm": 1.52407977581007, + "learning_rate": 2.4634950503637957e-07, + "loss": 0.8701, + "step": 39531 + }, + { + "epoch": 0.93, + "grad_norm": 1.7394464677360528, + "learning_rate": 2.461812088901749e-07, + "loss": 0.9414, + "step": 39532 + }, + { + "epoch": 0.93, + "grad_norm": 1.7046812643402354, + "learning_rate": 2.4601296953379094e-07, + "loss": 0.8043, + "step": 39533 + }, + { + "epoch": 0.93, + "grad_norm": 1.6258943302106421, + "learning_rate": 2.458447869682079e-07, + "loss": 0.7975, + "step": 39534 + }, + { + "epoch": 0.93, + "grad_norm": 1.6255828336863154, + "learning_rate": 2.4567666119440504e-07, + "loss": 0.8845, + "step": 39535 + }, + { + "epoch": 0.93, + "grad_norm": 1.6038747493791445, + "learning_rate": 2.455085922133604e-07, + "loss": 0.6948, + "step": 39536 + }, + { + "epoch": 0.93, + "grad_norm": 2.1759318525495446, + "learning_rate": 2.4534058002605334e-07, + "loss": 0.9315, + "step": 39537 + }, + { + "epoch": 0.93, + "grad_norm": 1.8355628726152604, + "learning_rate": 2.451726246334607e-07, + "loss": 0.81, + "step": 39538 + }, + { + "epoch": 0.93, + "grad_norm": 1.5228735755387042, + "learning_rate": 2.450047260365618e-07, + "loss": 0.7653, + "step": 39539 + }, + { + "epoch": 0.93, + "grad_norm": 1.7026663287877948, + "learning_rate": 2.4483688423633356e-07, + "loss": 0.9174, + "step": 39540 + }, + { + "epoch": 0.93, + "grad_norm": 0.752849499868994, + "learning_rate": 2.4466909923375414e-07, + "loss": 0.7157, + "step": 39541 + }, + { + "epoch": 0.93, + "grad_norm": 1.6191761004115737, + "learning_rate": 2.445013710298005e-07, + "loss": 0.8809, + "step": 39542 + }, + { + "epoch": 0.93, + "grad_norm": 1.4164174009347472, + "learning_rate": 2.443336996254464e-07, + "loss": 0.8361, + "step": 39543 + }, + { + "epoch": 0.93, + "grad_norm": 0.761044863256903, + "learning_rate": 2.4416608502167095e-07, + "loss": 0.6629, + "step": 39544 + }, + { + "epoch": 0.93, + "grad_norm": 1.5918229570292441, + "learning_rate": 2.4399852721944894e-07, + "loss": 0.8064, + "step": 39545 + }, + { + "epoch": 0.93, + "grad_norm": 1.4816930180068477, + "learning_rate": 2.438310262197574e-07, + "loss": 0.9017, + "step": 39546 + }, + { + "epoch": 0.93, + "grad_norm": 1.5750412697523037, + "learning_rate": 2.4366358202356887e-07, + "loss": 0.7971, + "step": 39547 + }, + { + "epoch": 0.93, + "grad_norm": 2.436022403152342, + "learning_rate": 2.4349619463186036e-07, + "loss": 0.8224, + "step": 39548 + }, + { + "epoch": 0.93, + "grad_norm": 1.6353550628998577, + "learning_rate": 2.4332886404560553e-07, + "loss": 0.7609, + "step": 39549 + }, + { + "epoch": 0.93, + "grad_norm": 0.7628403217953902, + "learning_rate": 2.431615902657802e-07, + "loss": 0.7054, + "step": 39550 + }, + { + "epoch": 0.93, + "grad_norm": 1.7220998087209507, + "learning_rate": 2.4299437329335595e-07, + "loss": 0.918, + "step": 39551 + }, + { + "epoch": 0.93, + "grad_norm": 1.5986238928056948, + "learning_rate": 2.428272131293075e-07, + "loss": 0.8868, + "step": 39552 + }, + { + "epoch": 0.93, + "grad_norm": 1.6018415154399266, + "learning_rate": 2.426601097746084e-07, + "loss": 0.8868, + "step": 39553 + }, + { + "epoch": 0.93, + "grad_norm": 0.7475184213591418, + "learning_rate": 2.424930632302314e-07, + "loss": 0.7328, + "step": 39554 + }, + { + "epoch": 0.93, + "grad_norm": 1.856019520767637, + "learning_rate": 2.4232607349714775e-07, + "loss": 0.9005, + "step": 39555 + }, + { + "epoch": 0.93, + "grad_norm": 1.6515750875042399, + "learning_rate": 2.421591405763324e-07, + "loss": 0.821, + "step": 39556 + }, + { + "epoch": 0.93, + "grad_norm": 1.6547017645246356, + "learning_rate": 2.4199226446875557e-07, + "loss": 0.7995, + "step": 39557 + }, + { + "epoch": 0.93, + "grad_norm": 1.5940015927127562, + "learning_rate": 2.4182544517538874e-07, + "loss": 0.9334, + "step": 39558 + }, + { + "epoch": 0.93, + "grad_norm": 1.5623934842289222, + "learning_rate": 2.416586826972034e-07, + "loss": 0.8554, + "step": 39559 + }, + { + "epoch": 0.93, + "grad_norm": 1.6748645798175443, + "learning_rate": 2.414919770351709e-07, + "loss": 0.7907, + "step": 39560 + }, + { + "epoch": 0.93, + "grad_norm": 0.7898854776040197, + "learning_rate": 2.4132532819026165e-07, + "loss": 0.7103, + "step": 39561 + }, + { + "epoch": 0.93, + "grad_norm": 1.6660217474618666, + "learning_rate": 2.41158736163446e-07, + "loss": 0.9352, + "step": 39562 + }, + { + "epoch": 0.93, + "grad_norm": 1.580927687671809, + "learning_rate": 2.409922009556942e-07, + "loss": 0.9124, + "step": 39563 + }, + { + "epoch": 0.93, + "grad_norm": 2.639670453209559, + "learning_rate": 2.408257225679744e-07, + "loss": 0.9665, + "step": 39564 + }, + { + "epoch": 0.93, + "grad_norm": 1.4367854336210042, + "learning_rate": 2.40659301001257e-07, + "loss": 0.7805, + "step": 39565 + }, + { + "epoch": 0.93, + "grad_norm": 1.4629247247063315, + "learning_rate": 2.4049293625651224e-07, + "loss": 0.7765, + "step": 39566 + }, + { + "epoch": 0.93, + "grad_norm": 1.4821518951877228, + "learning_rate": 2.403266283347061e-07, + "loss": 0.9104, + "step": 39567 + }, + { + "epoch": 0.93, + "grad_norm": 1.7202167491011688, + "learning_rate": 2.4016037723680886e-07, + "loss": 0.9843, + "step": 39568 + }, + { + "epoch": 0.93, + "grad_norm": 0.7629125271051184, + "learning_rate": 2.3999418296378643e-07, + "loss": 0.7551, + "step": 39569 + }, + { + "epoch": 0.93, + "grad_norm": 1.5200875995513872, + "learning_rate": 2.398280455166091e-07, + "loss": 0.8167, + "step": 39570 + }, + { + "epoch": 0.93, + "grad_norm": 1.5173386422190906, + "learning_rate": 2.396619648962439e-07, + "loss": 0.7844, + "step": 39571 + }, + { + "epoch": 0.93, + "grad_norm": 1.71284853726605, + "learning_rate": 2.394959411036546e-07, + "loss": 0.9233, + "step": 39572 + }, + { + "epoch": 0.93, + "grad_norm": 1.4210915001325928, + "learning_rate": 2.393299741398114e-07, + "loss": 0.771, + "step": 39573 + }, + { + "epoch": 0.93, + "grad_norm": 1.68539122672156, + "learning_rate": 2.3916406400567915e-07, + "loss": 0.7822, + "step": 39574 + }, + { + "epoch": 0.93, + "grad_norm": 0.7500815379425859, + "learning_rate": 2.3899821070222375e-07, + "loss": 0.694, + "step": 39575 + }, + { + "epoch": 0.93, + "grad_norm": 1.6626773421094043, + "learning_rate": 2.38832414230411e-07, + "loss": 0.7896, + "step": 39576 + }, + { + "epoch": 0.93, + "grad_norm": 2.2468105065435817, + "learning_rate": 2.38666674591207e-07, + "loss": 0.896, + "step": 39577 + }, + { + "epoch": 0.93, + "grad_norm": 1.4097545775636389, + "learning_rate": 2.3850099178557517e-07, + "loss": 0.8218, + "step": 39578 + }, + { + "epoch": 0.93, + "grad_norm": 1.8377443500459083, + "learning_rate": 2.3833536581448157e-07, + "loss": 0.8221, + "step": 39579 + }, + { + "epoch": 0.93, + "grad_norm": 1.5678704857490926, + "learning_rate": 2.3816979667888872e-07, + "loss": 0.8743, + "step": 39580 + }, + { + "epoch": 0.93, + "grad_norm": 1.6570967866216122, + "learning_rate": 2.3800428437976364e-07, + "loss": 0.8094, + "step": 39581 + }, + { + "epoch": 0.93, + "grad_norm": 1.760301219037152, + "learning_rate": 2.3783882891806664e-07, + "loss": 0.8746, + "step": 39582 + }, + { + "epoch": 0.93, + "grad_norm": 1.9386683230475155, + "learning_rate": 2.3767343029476253e-07, + "loss": 0.8691, + "step": 39583 + }, + { + "epoch": 0.93, + "grad_norm": 1.6351761335984545, + "learning_rate": 2.3750808851081607e-07, + "loss": 0.8529, + "step": 39584 + }, + { + "epoch": 0.93, + "grad_norm": 1.4467892115232053, + "learning_rate": 2.3734280356718764e-07, + "loss": 0.8064, + "step": 39585 + }, + { + "epoch": 0.93, + "grad_norm": 1.604659174028939, + "learning_rate": 2.3717757546483866e-07, + "loss": 0.723, + "step": 39586 + }, + { + "epoch": 0.93, + "grad_norm": 1.5194514062165183, + "learning_rate": 2.370124042047339e-07, + "loss": 0.9399, + "step": 39587 + }, + { + "epoch": 0.93, + "grad_norm": 1.510238309196787, + "learning_rate": 2.368472897878349e-07, + "loss": 0.794, + "step": 39588 + }, + { + "epoch": 0.93, + "grad_norm": 1.6309340338728442, + "learning_rate": 2.3668223221510078e-07, + "loss": 0.7299, + "step": 39589 + }, + { + "epoch": 0.93, + "grad_norm": 2.2359899502559664, + "learning_rate": 2.3651723148749305e-07, + "loss": 0.81, + "step": 39590 + }, + { + "epoch": 0.93, + "grad_norm": 1.5617712742794692, + "learning_rate": 2.3635228760597429e-07, + "loss": 0.8249, + "step": 39591 + }, + { + "epoch": 0.93, + "grad_norm": 1.7770379613481893, + "learning_rate": 2.3618740057150368e-07, + "loss": 0.8048, + "step": 39592 + }, + { + "epoch": 0.93, + "grad_norm": 1.7286784283294663, + "learning_rate": 2.360225703850405e-07, + "loss": 0.7417, + "step": 39593 + }, + { + "epoch": 0.93, + "grad_norm": 1.7000218771099769, + "learning_rate": 2.3585779704754507e-07, + "loss": 0.8048, + "step": 39594 + }, + { + "epoch": 0.93, + "grad_norm": 1.6250181182961108, + "learning_rate": 2.3569308055997776e-07, + "loss": 0.7481, + "step": 39595 + }, + { + "epoch": 0.93, + "grad_norm": 2.308954120966912, + "learning_rate": 2.3552842092329554e-07, + "loss": 0.8118, + "step": 39596 + }, + { + "epoch": 0.93, + "grad_norm": 1.4534194532032605, + "learning_rate": 2.3536381813845878e-07, + "loss": 0.8692, + "step": 39597 + }, + { + "epoch": 0.93, + "grad_norm": 1.536351809893756, + "learning_rate": 2.3519927220642558e-07, + "loss": 0.8368, + "step": 39598 + }, + { + "epoch": 0.93, + "grad_norm": 1.7369257109592022, + "learning_rate": 2.3503478312815298e-07, + "loss": 0.7902, + "step": 39599 + }, + { + "epoch": 0.93, + "grad_norm": 0.7640904053871165, + "learning_rate": 2.348703509045991e-07, + "loss": 0.6659, + "step": 39600 + }, + { + "epoch": 0.93, + "grad_norm": 1.5848964475797596, + "learning_rate": 2.3470597553672314e-07, + "loss": 0.8403, + "step": 39601 + }, + { + "epoch": 0.93, + "grad_norm": 1.6361216747923866, + "learning_rate": 2.3454165702547993e-07, + "loss": 0.8147, + "step": 39602 + }, + { + "epoch": 0.93, + "grad_norm": 0.7692237672511644, + "learning_rate": 2.3437739537182646e-07, + "loss": 0.744, + "step": 39603 + }, + { + "epoch": 0.93, + "grad_norm": 1.6268855309984773, + "learning_rate": 2.3421319057671975e-07, + "loss": 0.8281, + "step": 39604 + }, + { + "epoch": 0.93, + "grad_norm": 0.8404042743250216, + "learning_rate": 2.3404904264111683e-07, + "loss": 0.7182, + "step": 39605 + }, + { + "epoch": 0.93, + "grad_norm": 1.8840952227568672, + "learning_rate": 2.3388495156597136e-07, + "loss": 0.7091, + "step": 39606 + }, + { + "epoch": 0.93, + "grad_norm": 1.599233022805728, + "learning_rate": 2.3372091735223812e-07, + "loss": 0.6793, + "step": 39607 + }, + { + "epoch": 0.93, + "grad_norm": 0.8043808893280233, + "learning_rate": 2.3355694000087525e-07, + "loss": 0.7235, + "step": 39608 + }, + { + "epoch": 0.93, + "grad_norm": 1.6291991213782373, + "learning_rate": 2.3339301951283532e-07, + "loss": 0.9212, + "step": 39609 + }, + { + "epoch": 0.93, + "grad_norm": 1.6641139452539195, + "learning_rate": 2.3322915588907425e-07, + "loss": 0.8266, + "step": 39610 + }, + { + "epoch": 0.93, + "grad_norm": 2.312444482250993, + "learning_rate": 2.3306534913054347e-07, + "loss": 0.8641, + "step": 39611 + }, + { + "epoch": 0.93, + "grad_norm": 1.4866889157663512, + "learning_rate": 2.329015992382e-07, + "loss": 0.7356, + "step": 39612 + }, + { + "epoch": 0.93, + "grad_norm": 0.7199971563081989, + "learning_rate": 2.327379062129942e-07, + "loss": 0.6833, + "step": 39613 + }, + { + "epoch": 0.93, + "grad_norm": 1.7435252731502329, + "learning_rate": 2.3257427005588197e-07, + "loss": 0.7508, + "step": 39614 + }, + { + "epoch": 0.93, + "grad_norm": 1.8833997566202356, + "learning_rate": 2.3241069076781365e-07, + "loss": 0.8833, + "step": 39615 + }, + { + "epoch": 0.93, + "grad_norm": 0.7419351468725359, + "learning_rate": 2.3224716834974404e-07, + "loss": 0.7527, + "step": 39616 + }, + { + "epoch": 0.93, + "grad_norm": 1.7335331001829026, + "learning_rate": 2.3208370280262127e-07, + "loss": 0.9172, + "step": 39617 + }, + { + "epoch": 0.93, + "grad_norm": 1.5309377541690763, + "learning_rate": 2.3192029412740237e-07, + "loss": 0.8961, + "step": 39618 + }, + { + "epoch": 0.93, + "grad_norm": 2.020159210719817, + "learning_rate": 2.3175694232503542e-07, + "loss": 0.7917, + "step": 39619 + }, + { + "epoch": 0.93, + "grad_norm": 0.7744431428384498, + "learning_rate": 2.3159364739647084e-07, + "loss": 0.7093, + "step": 39620 + }, + { + "epoch": 0.93, + "grad_norm": 1.762533792610644, + "learning_rate": 2.3143040934266115e-07, + "loss": 0.812, + "step": 39621 + }, + { + "epoch": 0.93, + "grad_norm": 1.792086512161345, + "learning_rate": 2.312672281645567e-07, + "loss": 0.742, + "step": 39622 + }, + { + "epoch": 0.93, + "grad_norm": 0.7722910879000363, + "learning_rate": 2.311041038631079e-07, + "loss": 0.7512, + "step": 39623 + }, + { + "epoch": 0.93, + "grad_norm": 1.905305345484149, + "learning_rate": 2.3094103643926168e-07, + "loss": 0.7013, + "step": 39624 + }, + { + "epoch": 0.93, + "grad_norm": 1.6395252429576863, + "learning_rate": 2.3077802589397068e-07, + "loss": 0.7479, + "step": 39625 + }, + { + "epoch": 0.93, + "grad_norm": 2.0372067342605, + "learning_rate": 2.3061507222818303e-07, + "loss": 0.8237, + "step": 39626 + }, + { + "epoch": 0.93, + "grad_norm": 1.570575130835014, + "learning_rate": 2.3045217544284791e-07, + "loss": 0.7444, + "step": 39627 + }, + { + "epoch": 0.93, + "grad_norm": 1.5435189556321545, + "learning_rate": 2.302893355389124e-07, + "loss": 0.7546, + "step": 39628 + }, + { + "epoch": 0.93, + "grad_norm": 1.5483437912228109, + "learning_rate": 2.3012655251732574e-07, + "loss": 0.8346, + "step": 39629 + }, + { + "epoch": 0.93, + "grad_norm": 1.6785128181043771, + "learning_rate": 2.2996382637903492e-07, + "loss": 0.9353, + "step": 39630 + }, + { + "epoch": 0.93, + "grad_norm": 1.6220632681558729, + "learning_rate": 2.2980115712498918e-07, + "loss": 0.7925, + "step": 39631 + }, + { + "epoch": 0.93, + "grad_norm": 1.4881187868155366, + "learning_rate": 2.2963854475613223e-07, + "loss": 0.822, + "step": 39632 + }, + { + "epoch": 0.93, + "grad_norm": 1.5538467088319008, + "learning_rate": 2.2947598927341442e-07, + "loss": 0.7648, + "step": 39633 + }, + { + "epoch": 0.93, + "grad_norm": 1.6673458971160526, + "learning_rate": 2.2931349067778053e-07, + "loss": 0.8267, + "step": 39634 + }, + { + "epoch": 0.93, + "grad_norm": 1.643120602185788, + "learning_rate": 2.2915104897017648e-07, + "loss": 0.8531, + "step": 39635 + }, + { + "epoch": 0.93, + "grad_norm": 1.6169559293274487, + "learning_rate": 2.2898866415154818e-07, + "loss": 0.8181, + "step": 39636 + }, + { + "epoch": 0.93, + "grad_norm": 1.5671605619202311, + "learning_rate": 2.2882633622284268e-07, + "loss": 0.8081, + "step": 39637 + }, + { + "epoch": 0.93, + "grad_norm": 1.579894003408163, + "learning_rate": 2.2866406518500252e-07, + "loss": 0.8568, + "step": 39638 + }, + { + "epoch": 0.93, + "grad_norm": 1.6991294667475985, + "learning_rate": 2.285018510389736e-07, + "loss": 0.8563, + "step": 39639 + }, + { + "epoch": 0.93, + "grad_norm": 1.625465101180348, + "learning_rate": 2.2833969378570188e-07, + "loss": 0.8875, + "step": 39640 + }, + { + "epoch": 0.93, + "grad_norm": 1.631347398224844, + "learning_rate": 2.2817759342612878e-07, + "loss": 0.6676, + "step": 39641 + }, + { + "epoch": 0.93, + "grad_norm": 1.5140385390538351, + "learning_rate": 2.2801554996119912e-07, + "loss": 0.8488, + "step": 39642 + }, + { + "epoch": 0.93, + "grad_norm": 1.8268447891710216, + "learning_rate": 2.2785356339185772e-07, + "loss": 0.8719, + "step": 39643 + }, + { + "epoch": 0.93, + "grad_norm": 1.7840518197322044, + "learning_rate": 2.2769163371904713e-07, + "loss": 0.8788, + "step": 39644 + }, + { + "epoch": 0.93, + "grad_norm": 2.216192532024049, + "learning_rate": 2.275297609437077e-07, + "loss": 0.8798, + "step": 39645 + }, + { + "epoch": 0.93, + "grad_norm": 1.5278208750827695, + "learning_rate": 2.2736794506678539e-07, + "loss": 0.7311, + "step": 39646 + }, + { + "epoch": 0.93, + "grad_norm": 1.4602314031495682, + "learning_rate": 2.272061860892205e-07, + "loss": 0.6668, + "step": 39647 + }, + { + "epoch": 0.93, + "grad_norm": 2.139673175433716, + "learning_rate": 2.2704448401195567e-07, + "loss": 0.879, + "step": 39648 + }, + { + "epoch": 0.93, + "grad_norm": 1.6640451852503213, + "learning_rate": 2.268828388359312e-07, + "loss": 0.8139, + "step": 39649 + }, + { + "epoch": 0.93, + "grad_norm": 1.5897139409966625, + "learning_rate": 2.267212505620886e-07, + "loss": 0.88, + "step": 39650 + }, + { + "epoch": 0.93, + "grad_norm": 0.7728710837107948, + "learning_rate": 2.2655971919137044e-07, + "loss": 0.709, + "step": 39651 + }, + { + "epoch": 0.93, + "grad_norm": 1.6150022484641726, + "learning_rate": 2.2639824472471594e-07, + "loss": 0.9044, + "step": 39652 + }, + { + "epoch": 0.93, + "grad_norm": 1.7319596452033514, + "learning_rate": 2.262368271630633e-07, + "loss": 0.7358, + "step": 39653 + }, + { + "epoch": 0.93, + "grad_norm": 1.4390125478309925, + "learning_rate": 2.2607546650735613e-07, + "loss": 0.9614, + "step": 39654 + }, + { + "epoch": 0.93, + "grad_norm": 1.6320187571053926, + "learning_rate": 2.259141627585304e-07, + "loss": 0.8676, + "step": 39655 + }, + { + "epoch": 0.93, + "grad_norm": 1.5611578723748942, + "learning_rate": 2.2575291591752756e-07, + "loss": 0.724, + "step": 39656 + }, + { + "epoch": 0.93, + "grad_norm": 0.7181186601023475, + "learning_rate": 2.2559172598528578e-07, + "loss": 0.7377, + "step": 39657 + }, + { + "epoch": 0.93, + "grad_norm": 1.645449018276999, + "learning_rate": 2.2543059296274316e-07, + "loss": 0.7859, + "step": 39658 + }, + { + "epoch": 0.93, + "grad_norm": 1.5044060686801004, + "learning_rate": 2.2526951685083787e-07, + "loss": 0.7969, + "step": 39659 + }, + { + "epoch": 0.93, + "grad_norm": 1.4674521901777289, + "learning_rate": 2.2510849765050914e-07, + "loss": 0.827, + "step": 39660 + }, + { + "epoch": 0.93, + "grad_norm": 1.6052885973980688, + "learning_rate": 2.2494753536269288e-07, + "loss": 0.7525, + "step": 39661 + }, + { + "epoch": 0.93, + "grad_norm": 1.79924612027705, + "learning_rate": 2.2478662998832725e-07, + "loss": 0.9724, + "step": 39662 + }, + { + "epoch": 0.93, + "grad_norm": 1.6168460674302472, + "learning_rate": 2.2462578152834812e-07, + "loss": 0.9528, + "step": 39663 + }, + { + "epoch": 0.93, + "grad_norm": 1.7586539570621953, + "learning_rate": 2.2446498998369259e-07, + "loss": 0.8654, + "step": 39664 + }, + { + "epoch": 0.93, + "grad_norm": 1.9320487661958121, + "learning_rate": 2.2430425535529765e-07, + "loss": 0.8256, + "step": 39665 + }, + { + "epoch": 0.93, + "grad_norm": 1.7960661596989627, + "learning_rate": 2.24143577644097e-07, + "loss": 0.6681, + "step": 39666 + }, + { + "epoch": 0.93, + "grad_norm": 1.7227955096775303, + "learning_rate": 2.2398295685102655e-07, + "loss": 0.9222, + "step": 39667 + }, + { + "epoch": 0.93, + "grad_norm": 1.7085212673026342, + "learning_rate": 2.2382239297702447e-07, + "loss": 0.9705, + "step": 39668 + }, + { + "epoch": 0.93, + "grad_norm": 1.5048115830316933, + "learning_rate": 2.236618860230233e-07, + "loss": 0.8527, + "step": 39669 + }, + { + "epoch": 0.93, + "grad_norm": 1.834997156924784, + "learning_rate": 2.2350143598995676e-07, + "loss": 0.8122, + "step": 39670 + }, + { + "epoch": 0.93, + "grad_norm": 1.8186048197091864, + "learning_rate": 2.2334104287875969e-07, + "loss": 0.8561, + "step": 39671 + }, + { + "epoch": 0.93, + "grad_norm": 1.4334716563187027, + "learning_rate": 2.2318070669036686e-07, + "loss": 0.7217, + "step": 39672 + }, + { + "epoch": 0.93, + "grad_norm": 1.6868883350730757, + "learning_rate": 2.2302042742571194e-07, + "loss": 0.7527, + "step": 39673 + }, + { + "epoch": 0.93, + "grad_norm": 1.788918198672213, + "learning_rate": 2.2286020508572648e-07, + "loss": 0.8427, + "step": 39674 + }, + { + "epoch": 0.93, + "grad_norm": 1.7903569102899535, + "learning_rate": 2.2270003967134414e-07, + "loss": 0.8669, + "step": 39675 + }, + { + "epoch": 0.93, + "grad_norm": 1.9045812259410255, + "learning_rate": 2.225399311834986e-07, + "loss": 1.0067, + "step": 39676 + }, + { + "epoch": 0.93, + "grad_norm": 1.5990945407613932, + "learning_rate": 2.2237987962312134e-07, + "loss": 0.9371, + "step": 39677 + }, + { + "epoch": 0.93, + "grad_norm": 1.8910368105612356, + "learning_rate": 2.2221988499114278e-07, + "loss": 0.8295, + "step": 39678 + }, + { + "epoch": 0.93, + "grad_norm": 1.5812788027884883, + "learning_rate": 2.2205994728849655e-07, + "loss": 0.741, + "step": 39679 + }, + { + "epoch": 0.93, + "grad_norm": 1.4338539400879886, + "learning_rate": 2.2190006651611197e-07, + "loss": 0.7784, + "step": 39680 + }, + { + "epoch": 0.93, + "grad_norm": 1.9291936747859437, + "learning_rate": 2.2174024267492155e-07, + "loss": 0.8546, + "step": 39681 + }, + { + "epoch": 0.93, + "grad_norm": 1.6447814734371784, + "learning_rate": 2.2158047576585572e-07, + "loss": 0.7486, + "step": 39682 + }, + { + "epoch": 0.93, + "grad_norm": 1.4829910311102061, + "learning_rate": 2.2142076578984372e-07, + "loss": 0.8663, + "step": 39683 + }, + { + "epoch": 0.93, + "grad_norm": 1.8408768423846218, + "learning_rate": 2.212611127478148e-07, + "loss": 0.7083, + "step": 39684 + }, + { + "epoch": 0.93, + "grad_norm": 1.7843485934242351, + "learning_rate": 2.2110151664070044e-07, + "loss": 0.8155, + "step": 39685 + }, + { + "epoch": 0.93, + "grad_norm": 1.5068305863608664, + "learning_rate": 2.209419774694299e-07, + "loss": 0.7907, + "step": 39686 + }, + { + "epoch": 0.93, + "grad_norm": 2.419807392828278, + "learning_rate": 2.2078249523493022e-07, + "loss": 0.7507, + "step": 39687 + }, + { + "epoch": 0.94, + "grad_norm": 1.80525568309523, + "learning_rate": 2.2062306993813064e-07, + "loss": 0.7985, + "step": 39688 + }, + { + "epoch": 0.94, + "grad_norm": 0.7478405342844952, + "learning_rate": 2.2046370157995934e-07, + "loss": 0.6799, + "step": 39689 + }, + { + "epoch": 0.94, + "grad_norm": 1.5453567479458152, + "learning_rate": 2.2030439016134664e-07, + "loss": 0.7433, + "step": 39690 + }, + { + "epoch": 0.94, + "grad_norm": 1.6034323681452503, + "learning_rate": 2.2014513568321628e-07, + "loss": 0.7796, + "step": 39691 + }, + { + "epoch": 0.94, + "grad_norm": 1.5874210359022276, + "learning_rate": 2.1998593814649637e-07, + "loss": 0.7807, + "step": 39692 + }, + { + "epoch": 0.94, + "grad_norm": 1.500615277953701, + "learning_rate": 2.1982679755211622e-07, + "loss": 0.7381, + "step": 39693 + }, + { + "epoch": 0.94, + "grad_norm": 1.659322971405397, + "learning_rate": 2.196677139009995e-07, + "loss": 0.836, + "step": 39694 + }, + { + "epoch": 0.94, + "grad_norm": 0.7584672022229448, + "learning_rate": 2.1950868719407548e-07, + "loss": 0.68, + "step": 39695 + }, + { + "epoch": 0.94, + "grad_norm": 1.6944034570692394, + "learning_rate": 2.1934971743226674e-07, + "loss": 0.8994, + "step": 39696 + }, + { + "epoch": 0.94, + "grad_norm": 1.5827500616203651, + "learning_rate": 2.1919080461650144e-07, + "loss": 0.8156, + "step": 39697 + }, + { + "epoch": 0.94, + "grad_norm": 1.7150730690366591, + "learning_rate": 2.190319487477033e-07, + "loss": 0.7716, + "step": 39698 + }, + { + "epoch": 0.94, + "grad_norm": 1.759099224871437, + "learning_rate": 2.188731498267982e-07, + "loss": 0.812, + "step": 39699 + }, + { + "epoch": 0.94, + "grad_norm": 1.5393372373277838, + "learning_rate": 2.1871440785470987e-07, + "loss": 0.8102, + "step": 39700 + }, + { + "epoch": 0.94, + "grad_norm": 1.563457945375378, + "learning_rate": 2.1855572283236314e-07, + "loss": 0.7517, + "step": 39701 + }, + { + "epoch": 0.94, + "grad_norm": 1.6714432535917116, + "learning_rate": 2.183970947606806e-07, + "loss": 0.8536, + "step": 39702 + }, + { + "epoch": 0.94, + "grad_norm": 2.0430805926184603, + "learning_rate": 2.1823852364058928e-07, + "loss": 0.6649, + "step": 39703 + }, + { + "epoch": 0.94, + "grad_norm": 1.6120223734709442, + "learning_rate": 2.1808000947300843e-07, + "loss": 0.8529, + "step": 39704 + }, + { + "epoch": 0.94, + "grad_norm": 0.8089340062825296, + "learning_rate": 2.179215522588629e-07, + "loss": 0.6661, + "step": 39705 + }, + { + "epoch": 0.94, + "grad_norm": 1.6232467952430394, + "learning_rate": 2.1776315199907526e-07, + "loss": 0.7667, + "step": 39706 + }, + { + "epoch": 0.94, + "grad_norm": 2.648340714420326, + "learning_rate": 2.1760480869456812e-07, + "loss": 0.7641, + "step": 39707 + }, + { + "epoch": 0.94, + "grad_norm": 1.599443293719061, + "learning_rate": 2.1744652234626295e-07, + "loss": 0.8633, + "step": 39708 + }, + { + "epoch": 0.94, + "grad_norm": 0.7994693412886308, + "learning_rate": 2.1728829295508013e-07, + "loss": 0.7257, + "step": 39709 + }, + { + "epoch": 0.94, + "grad_norm": 1.5669565364620825, + "learning_rate": 2.1713012052194114e-07, + "loss": 0.7856, + "step": 39710 + }, + { + "epoch": 0.94, + "grad_norm": 1.6148909303261536, + "learning_rate": 2.1697200504776973e-07, + "loss": 0.808, + "step": 39711 + }, + { + "epoch": 0.94, + "grad_norm": 0.7251018587465875, + "learning_rate": 2.1681394653348508e-07, + "loss": 0.7255, + "step": 39712 + }, + { + "epoch": 0.94, + "grad_norm": 1.9315185150138525, + "learning_rate": 2.166559449800043e-07, + "loss": 0.9455, + "step": 39713 + }, + { + "epoch": 0.94, + "grad_norm": 1.516049089950255, + "learning_rate": 2.164980003882522e-07, + "loss": 0.9039, + "step": 39714 + }, + { + "epoch": 0.94, + "grad_norm": 0.7254714315521693, + "learning_rate": 2.1634011275914468e-07, + "loss": 0.6767, + "step": 39715 + }, + { + "epoch": 0.94, + "grad_norm": 1.6932765408907056, + "learning_rate": 2.1618228209360438e-07, + "loss": 0.9231, + "step": 39716 + }, + { + "epoch": 0.94, + "grad_norm": 1.6536390502150249, + "learning_rate": 2.1602450839254608e-07, + "loss": 0.8123, + "step": 39717 + }, + { + "epoch": 0.94, + "grad_norm": 2.161900377149472, + "learning_rate": 2.158667916568924e-07, + "loss": 0.8943, + "step": 39718 + }, + { + "epoch": 0.94, + "grad_norm": 1.6082470711133547, + "learning_rate": 2.1570913188755925e-07, + "loss": 0.8121, + "step": 39719 + }, + { + "epoch": 0.94, + "grad_norm": 1.5503078346778711, + "learning_rate": 2.1555152908546484e-07, + "loss": 0.8357, + "step": 39720 + }, + { + "epoch": 0.94, + "grad_norm": 1.7306105483158254, + "learning_rate": 2.1539398325152839e-07, + "loss": 0.7633, + "step": 39721 + }, + { + "epoch": 0.94, + "grad_norm": 1.705808845083486, + "learning_rate": 2.1523649438666472e-07, + "loss": 0.8389, + "step": 39722 + }, + { + "epoch": 0.94, + "grad_norm": 1.5608760351722675, + "learning_rate": 2.15079062491792e-07, + "loss": 0.8031, + "step": 39723 + }, + { + "epoch": 0.94, + "grad_norm": 1.6012545548166617, + "learning_rate": 2.1492168756782728e-07, + "loss": 0.9056, + "step": 39724 + }, + { + "epoch": 0.94, + "grad_norm": 0.7803047846053792, + "learning_rate": 2.1476436961568648e-07, + "loss": 0.7416, + "step": 39725 + }, + { + "epoch": 0.94, + "grad_norm": 1.6308362403816297, + "learning_rate": 2.1460710863628443e-07, + "loss": 0.8979, + "step": 39726 + }, + { + "epoch": 0.94, + "grad_norm": 1.408590748940956, + "learning_rate": 2.1444990463053817e-07, + "loss": 0.8493, + "step": 39727 + }, + { + "epoch": 0.94, + "grad_norm": 1.493101902196317, + "learning_rate": 2.1429275759936363e-07, + "loss": 0.7415, + "step": 39728 + }, + { + "epoch": 0.94, + "grad_norm": 2.0721588930986505, + "learning_rate": 2.1413566754367454e-07, + "loss": 0.9745, + "step": 39729 + }, + { + "epoch": 0.94, + "grad_norm": 1.8784103724038759, + "learning_rate": 2.139786344643846e-07, + "loss": 0.7933, + "step": 39730 + }, + { + "epoch": 0.94, + "grad_norm": 1.6749198079512355, + "learning_rate": 2.1382165836240977e-07, + "loss": 0.859, + "step": 39731 + }, + { + "epoch": 0.94, + "grad_norm": 1.529057853856288, + "learning_rate": 2.1366473923866372e-07, + "loss": 0.7431, + "step": 39732 + }, + { + "epoch": 0.94, + "grad_norm": 1.6554663956929143, + "learning_rate": 2.135078770940602e-07, + "loss": 0.7953, + "step": 39733 + }, + { + "epoch": 0.94, + "grad_norm": 1.543238085050914, + "learning_rate": 2.1335107192951176e-07, + "loss": 0.9024, + "step": 39734 + }, + { + "epoch": 0.94, + "grad_norm": 1.8061040144682228, + "learning_rate": 2.1319432374593218e-07, + "loss": 0.8849, + "step": 39735 + }, + { + "epoch": 0.94, + "grad_norm": 1.8069458766435358, + "learning_rate": 2.1303763254423293e-07, + "loss": 0.8759, + "step": 39736 + }, + { + "epoch": 0.94, + "grad_norm": 0.7401216582025438, + "learning_rate": 2.128809983253277e-07, + "loss": 0.6571, + "step": 39737 + }, + { + "epoch": 0.94, + "grad_norm": 1.4869449002470327, + "learning_rate": 2.127244210901269e-07, + "loss": 0.9526, + "step": 39738 + }, + { + "epoch": 0.94, + "grad_norm": 1.525955115513265, + "learning_rate": 2.1256790083954537e-07, + "loss": 0.8863, + "step": 39739 + }, + { + "epoch": 0.94, + "grad_norm": 1.5187589315036336, + "learning_rate": 2.1241143757449012e-07, + "loss": 0.8299, + "step": 39740 + }, + { + "epoch": 0.94, + "grad_norm": 1.5885816616961363, + "learning_rate": 2.1225503129587488e-07, + "loss": 0.8017, + "step": 39741 + }, + { + "epoch": 0.94, + "grad_norm": 1.898643982225513, + "learning_rate": 2.1209868200461004e-07, + "loss": 0.8807, + "step": 39742 + }, + { + "epoch": 0.94, + "grad_norm": 3.0377560036991578, + "learning_rate": 2.1194238970160376e-07, + "loss": 0.7618, + "step": 39743 + }, + { + "epoch": 0.94, + "grad_norm": 1.602433451339659, + "learning_rate": 2.117861543877686e-07, + "loss": 0.7333, + "step": 39744 + }, + { + "epoch": 0.94, + "grad_norm": 1.578158938689464, + "learning_rate": 2.1162997606401392e-07, + "loss": 0.8995, + "step": 39745 + }, + { + "epoch": 0.94, + "grad_norm": 1.4391993185621468, + "learning_rate": 2.1147385473124892e-07, + "loss": 0.843, + "step": 39746 + }, + { + "epoch": 0.94, + "grad_norm": 1.7993327950102607, + "learning_rate": 2.113177903903807e-07, + "loss": 0.895, + "step": 39747 + }, + { + "epoch": 0.94, + "grad_norm": 1.7161231405557762, + "learning_rate": 2.111617830423196e-07, + "loss": 0.7737, + "step": 39748 + }, + { + "epoch": 0.94, + "grad_norm": 1.6281343468309235, + "learning_rate": 2.1100583268797493e-07, + "loss": 0.6844, + "step": 39749 + }, + { + "epoch": 0.94, + "grad_norm": 1.7205405190088436, + "learning_rate": 2.1084993932825259e-07, + "loss": 0.7717, + "step": 39750 + }, + { + "epoch": 0.94, + "grad_norm": 0.7470871104972935, + "learning_rate": 2.1069410296406079e-07, + "loss": 0.6872, + "step": 39751 + }, + { + "epoch": 0.94, + "grad_norm": 1.713463712829776, + "learning_rate": 2.1053832359630655e-07, + "loss": 0.6987, + "step": 39752 + }, + { + "epoch": 0.94, + "grad_norm": 1.330361660463121, + "learning_rate": 2.1038260122589915e-07, + "loss": 0.9283, + "step": 39753 + }, + { + "epoch": 0.94, + "grad_norm": 1.6154492335802577, + "learning_rate": 2.1022693585374343e-07, + "loss": 0.8517, + "step": 39754 + }, + { + "epoch": 0.94, + "grad_norm": 1.7961088511718875, + "learning_rate": 2.1007132748074533e-07, + "loss": 0.8235, + "step": 39755 + }, + { + "epoch": 0.94, + "grad_norm": 1.6790519032128357, + "learning_rate": 2.0991577610781188e-07, + "loss": 0.8787, + "step": 39756 + }, + { + "epoch": 0.94, + "grad_norm": 1.4764051200946475, + "learning_rate": 2.0976028173584683e-07, + "loss": 0.717, + "step": 39757 + }, + { + "epoch": 0.94, + "grad_norm": 1.4202921467728342, + "learning_rate": 2.0960484436575835e-07, + "loss": 0.861, + "step": 39758 + }, + { + "epoch": 0.94, + "grad_norm": 1.8309582277639744, + "learning_rate": 2.09449463998449e-07, + "loss": 0.9062, + "step": 39759 + }, + { + "epoch": 0.94, + "grad_norm": 1.6092089659524866, + "learning_rate": 2.092941406348259e-07, + "loss": 0.8305, + "step": 39760 + }, + { + "epoch": 0.94, + "grad_norm": 1.4644895425948308, + "learning_rate": 2.0913887427579048e-07, + "loss": 0.808, + "step": 39761 + }, + { + "epoch": 0.94, + "grad_norm": 1.6329914030941703, + "learning_rate": 2.0898366492224986e-07, + "loss": 0.7665, + "step": 39762 + }, + { + "epoch": 0.94, + "grad_norm": 1.469649513892793, + "learning_rate": 2.0882851257510551e-07, + "loss": 0.7758, + "step": 39763 + }, + { + "epoch": 0.94, + "grad_norm": 1.4216961431720267, + "learning_rate": 2.0867341723526002e-07, + "loss": 0.7761, + "step": 39764 + }, + { + "epoch": 0.94, + "grad_norm": 2.099422852692251, + "learning_rate": 2.0851837890361936e-07, + "loss": 0.8032, + "step": 39765 + }, + { + "epoch": 0.94, + "grad_norm": 1.555524656012374, + "learning_rate": 2.0836339758108393e-07, + "loss": 0.7833, + "step": 39766 + }, + { + "epoch": 0.94, + "grad_norm": 1.530094131716238, + "learning_rate": 2.082084732685574e-07, + "loss": 0.7904, + "step": 39767 + }, + { + "epoch": 0.94, + "grad_norm": 0.8037108643521337, + "learning_rate": 2.0805360596694024e-07, + "loss": 0.7379, + "step": 39768 + }, + { + "epoch": 0.94, + "grad_norm": 1.880477197703746, + "learning_rate": 2.078987956771361e-07, + "loss": 0.6386, + "step": 39769 + }, + { + "epoch": 0.94, + "grad_norm": 1.5588662981358947, + "learning_rate": 2.0774404240004432e-07, + "loss": 0.8712, + "step": 39770 + }, + { + "epoch": 0.94, + "grad_norm": 2.7923497308481906, + "learning_rate": 2.0758934613656856e-07, + "loss": 0.7527, + "step": 39771 + }, + { + "epoch": 0.94, + "grad_norm": 1.651068002077142, + "learning_rate": 2.0743470688760593e-07, + "loss": 0.7456, + "step": 39772 + }, + { + "epoch": 0.94, + "grad_norm": 1.4693292397378186, + "learning_rate": 2.07280124654059e-07, + "loss": 0.8462, + "step": 39773 + }, + { + "epoch": 0.94, + "grad_norm": 1.590124604209701, + "learning_rate": 2.071255994368282e-07, + "loss": 0.9895, + "step": 39774 + }, + { + "epoch": 0.94, + "grad_norm": 1.7976882683055369, + "learning_rate": 2.069711312368128e-07, + "loss": 0.9499, + "step": 39775 + }, + { + "epoch": 0.94, + "grad_norm": 1.9666530084233842, + "learning_rate": 2.0681672005491093e-07, + "loss": 0.8238, + "step": 39776 + }, + { + "epoch": 0.94, + "grad_norm": 1.7279377138251726, + "learning_rate": 2.0666236589202305e-07, + "loss": 0.8525, + "step": 39777 + }, + { + "epoch": 0.94, + "grad_norm": 1.650822640516239, + "learning_rate": 2.0650806874904727e-07, + "loss": 0.7324, + "step": 39778 + }, + { + "epoch": 0.94, + "grad_norm": 1.747559839967932, + "learning_rate": 2.063538286268818e-07, + "loss": 0.8019, + "step": 39779 + }, + { + "epoch": 0.94, + "grad_norm": 1.7891885542586095, + "learning_rate": 2.061996455264259e-07, + "loss": 0.8423, + "step": 39780 + }, + { + "epoch": 0.94, + "grad_norm": 1.5301138793201325, + "learning_rate": 2.0604551944857665e-07, + "loss": 0.8906, + "step": 39781 + }, + { + "epoch": 0.94, + "grad_norm": 0.7401067661241436, + "learning_rate": 2.0589145039422887e-07, + "loss": 0.7129, + "step": 39782 + }, + { + "epoch": 0.94, + "grad_norm": 0.7760381936465892, + "learning_rate": 2.0573743836428294e-07, + "loss": 0.7529, + "step": 39783 + }, + { + "epoch": 0.94, + "grad_norm": 1.6182732509282471, + "learning_rate": 2.0558348335963595e-07, + "loss": 0.748, + "step": 39784 + }, + { + "epoch": 0.94, + "grad_norm": 1.5313382524159713, + "learning_rate": 2.0542958538118162e-07, + "loss": 0.8371, + "step": 39785 + }, + { + "epoch": 0.94, + "grad_norm": 0.7952703914042553, + "learning_rate": 2.05275744429817e-07, + "loss": 0.751, + "step": 39786 + }, + { + "epoch": 0.94, + "grad_norm": 1.8118357658566313, + "learning_rate": 2.0512196050643697e-07, + "loss": 0.961, + "step": 39787 + }, + { + "epoch": 0.94, + "grad_norm": 1.8256052911913696, + "learning_rate": 2.0496823361194074e-07, + "loss": 0.8901, + "step": 39788 + }, + { + "epoch": 0.94, + "grad_norm": 1.902643326160134, + "learning_rate": 2.0481456374721763e-07, + "loss": 0.7885, + "step": 39789 + }, + { + "epoch": 0.94, + "grad_norm": 1.7080411477847708, + "learning_rate": 2.0466095091316585e-07, + "loss": 0.8846, + "step": 39790 + }, + { + "epoch": 0.94, + "grad_norm": 1.6625984056929022, + "learning_rate": 2.0450739511067907e-07, + "loss": 0.7402, + "step": 39791 + }, + { + "epoch": 0.94, + "grad_norm": 1.7513549525014998, + "learning_rate": 2.0435389634065328e-07, + "loss": 0.7593, + "step": 39792 + }, + { + "epoch": 0.94, + "grad_norm": 1.6702992403282018, + "learning_rate": 2.0420045460397885e-07, + "loss": 0.8619, + "step": 39793 + }, + { + "epoch": 0.94, + "grad_norm": 2.4631047466193583, + "learning_rate": 2.0404706990155065e-07, + "loss": 0.7236, + "step": 39794 + }, + { + "epoch": 0.94, + "grad_norm": 1.5347320666219084, + "learning_rate": 2.038937422342624e-07, + "loss": 0.773, + "step": 39795 + }, + { + "epoch": 0.94, + "grad_norm": 1.9924988854782275, + "learning_rate": 2.0374047160300557e-07, + "loss": 0.8122, + "step": 39796 + }, + { + "epoch": 0.94, + "grad_norm": 1.577378197260362, + "learning_rate": 2.0358725800867395e-07, + "loss": 0.7105, + "step": 39797 + }, + { + "epoch": 0.94, + "grad_norm": 1.741477268893975, + "learning_rate": 2.0343410145215793e-07, + "loss": 0.8029, + "step": 39798 + }, + { + "epoch": 0.94, + "grad_norm": 1.849965389051184, + "learning_rate": 2.0328100193435006e-07, + "loss": 0.7406, + "step": 39799 + }, + { + "epoch": 0.94, + "grad_norm": 1.4481662490710685, + "learning_rate": 2.0312795945614193e-07, + "loss": 0.792, + "step": 39800 + }, + { + "epoch": 0.94, + "grad_norm": 1.4884377380699174, + "learning_rate": 2.0297497401842502e-07, + "loss": 0.8072, + "step": 39801 + }, + { + "epoch": 0.94, + "grad_norm": 1.6374240274263938, + "learning_rate": 2.0282204562208974e-07, + "loss": 0.7613, + "step": 39802 + }, + { + "epoch": 0.94, + "grad_norm": 1.7417022225407783, + "learning_rate": 2.0266917426802536e-07, + "loss": 0.7302, + "step": 39803 + }, + { + "epoch": 0.94, + "grad_norm": 1.4795115794195115, + "learning_rate": 2.0251635995712226e-07, + "loss": 0.8158, + "step": 39804 + }, + { + "epoch": 0.94, + "grad_norm": 1.7787995832653773, + "learning_rate": 2.02363602690272e-07, + "loss": 0.827, + "step": 39805 + }, + { + "epoch": 0.94, + "grad_norm": 1.7862128617646424, + "learning_rate": 2.0221090246836274e-07, + "loss": 0.7288, + "step": 39806 + }, + { + "epoch": 0.94, + "grad_norm": 1.738173736170002, + "learning_rate": 2.0205825929228262e-07, + "loss": 0.7581, + "step": 39807 + }, + { + "epoch": 0.94, + "grad_norm": 1.590064940904878, + "learning_rate": 2.019056731629221e-07, + "loss": 0.9, + "step": 39808 + }, + { + "epoch": 0.94, + "grad_norm": 1.525555218772956, + "learning_rate": 2.017531440811682e-07, + "loss": 0.8126, + "step": 39809 + }, + { + "epoch": 0.94, + "grad_norm": 1.7538646819549517, + "learning_rate": 2.0160067204791023e-07, + "loss": 0.7944, + "step": 39810 + }, + { + "epoch": 0.94, + "grad_norm": 1.5175727803065289, + "learning_rate": 2.0144825706403526e-07, + "loss": 0.7195, + "step": 39811 + }, + { + "epoch": 0.94, + "grad_norm": 1.48193841792803, + "learning_rate": 2.0129589913042924e-07, + "loss": 0.8267, + "step": 39812 + }, + { + "epoch": 0.94, + "grad_norm": 1.6460389377395486, + "learning_rate": 2.0114359824798257e-07, + "loss": 0.7846, + "step": 39813 + }, + { + "epoch": 0.94, + "grad_norm": 1.6928296624962575, + "learning_rate": 2.00991354417579e-07, + "loss": 0.8395, + "step": 39814 + }, + { + "epoch": 0.94, + "grad_norm": 1.5022988705648734, + "learning_rate": 2.008391676401067e-07, + "loss": 0.8141, + "step": 39815 + }, + { + "epoch": 0.94, + "grad_norm": 1.8348089379011665, + "learning_rate": 2.0068703791645162e-07, + "loss": 0.7839, + "step": 39816 + }, + { + "epoch": 0.94, + "grad_norm": 1.6402383249130064, + "learning_rate": 2.005349652474975e-07, + "loss": 0.8493, + "step": 39817 + }, + { + "epoch": 0.94, + "grad_norm": 1.6018612753765127, + "learning_rate": 2.0038294963413251e-07, + "loss": 0.7583, + "step": 39818 + }, + { + "epoch": 0.94, + "grad_norm": 1.7571018282776616, + "learning_rate": 2.002309910772393e-07, + "loss": 0.8211, + "step": 39819 + }, + { + "epoch": 0.94, + "grad_norm": 1.5944286985214717, + "learning_rate": 2.0007908957770493e-07, + "loss": 0.7878, + "step": 39820 + }, + { + "epoch": 0.94, + "grad_norm": 0.7641852971327275, + "learning_rate": 1.9992724513641204e-07, + "loss": 0.6702, + "step": 39821 + }, + { + "epoch": 0.94, + "grad_norm": 1.7045085735173788, + "learning_rate": 1.9977545775424545e-07, + "loss": 0.8497, + "step": 39822 + }, + { + "epoch": 0.94, + "grad_norm": 0.7708187252199395, + "learning_rate": 1.9962372743209e-07, + "loss": 0.7365, + "step": 39823 + }, + { + "epoch": 0.94, + "grad_norm": 0.926545081875244, + "learning_rate": 1.9947205417082615e-07, + "loss": 0.6751, + "step": 39824 + }, + { + "epoch": 0.94, + "grad_norm": 1.4171194737047834, + "learning_rate": 1.993204379713398e-07, + "loss": 0.8097, + "step": 39825 + }, + { + "epoch": 0.94, + "grad_norm": 1.9796249653167393, + "learning_rate": 1.991688788345125e-07, + "loss": 0.8523, + "step": 39826 + }, + { + "epoch": 0.94, + "grad_norm": 1.6060535262593187, + "learning_rate": 1.99017376761228e-07, + "loss": 0.8244, + "step": 39827 + }, + { + "epoch": 0.94, + "grad_norm": 0.7545059412721733, + "learning_rate": 1.9886593175236557e-07, + "loss": 0.6827, + "step": 39828 + }, + { + "epoch": 0.94, + "grad_norm": 1.4616645540820947, + "learning_rate": 1.9871454380880894e-07, + "loss": 0.9442, + "step": 39829 + }, + { + "epoch": 0.94, + "grad_norm": 1.8159541662627554, + "learning_rate": 1.9856321293143965e-07, + "loss": 0.792, + "step": 39830 + }, + { + "epoch": 0.94, + "grad_norm": 1.6141668936732316, + "learning_rate": 1.9841193912113922e-07, + "loss": 0.7883, + "step": 39831 + }, + { + "epoch": 0.94, + "grad_norm": 1.5029083353689126, + "learning_rate": 1.982607223787858e-07, + "loss": 0.873, + "step": 39832 + }, + { + "epoch": 0.94, + "grad_norm": 1.5956191164254065, + "learning_rate": 1.9810956270526204e-07, + "loss": 0.911, + "step": 39833 + }, + { + "epoch": 0.94, + "grad_norm": 0.7659310523000843, + "learning_rate": 1.9795846010144837e-07, + "loss": 0.7351, + "step": 39834 + }, + { + "epoch": 0.94, + "grad_norm": 1.6025397698736752, + "learning_rate": 1.9780741456822404e-07, + "loss": 0.8239, + "step": 39835 + }, + { + "epoch": 0.94, + "grad_norm": 2.1339834877580017, + "learning_rate": 1.976564261064684e-07, + "loss": 0.893, + "step": 39836 + }, + { + "epoch": 0.94, + "grad_norm": 1.6232204019034757, + "learning_rate": 1.975054947170596e-07, + "loss": 0.8386, + "step": 39837 + }, + { + "epoch": 0.94, + "grad_norm": 1.5719706378007459, + "learning_rate": 1.9735462040087693e-07, + "loss": 0.944, + "step": 39838 + }, + { + "epoch": 0.94, + "grad_norm": 0.7737339496158101, + "learning_rate": 1.9720380315880083e-07, + "loss": 0.6994, + "step": 39839 + }, + { + "epoch": 0.94, + "grad_norm": 1.4732366208471093, + "learning_rate": 1.9705304299170613e-07, + "loss": 0.719, + "step": 39840 + }, + { + "epoch": 0.94, + "grad_norm": 1.641362159156318, + "learning_rate": 1.9690233990047325e-07, + "loss": 0.9047, + "step": 39841 + }, + { + "epoch": 0.94, + "grad_norm": 1.8574130294710272, + "learning_rate": 1.9675169388597705e-07, + "loss": 0.7573, + "step": 39842 + }, + { + "epoch": 0.94, + "grad_norm": 1.5083639776561453, + "learning_rate": 1.966011049490979e-07, + "loss": 0.8295, + "step": 39843 + }, + { + "epoch": 0.94, + "grad_norm": 1.9634442880176768, + "learning_rate": 1.9645057309070958e-07, + "loss": 0.8975, + "step": 39844 + }, + { + "epoch": 0.94, + "grad_norm": 1.7025266131379084, + "learning_rate": 1.9630009831169027e-07, + "loss": 0.9176, + "step": 39845 + }, + { + "epoch": 0.94, + "grad_norm": 1.7206699241145151, + "learning_rate": 1.9614968061291484e-07, + "loss": 0.8539, + "step": 39846 + }, + { + "epoch": 0.94, + "grad_norm": 1.6202663218224482, + "learning_rate": 1.9599931999526035e-07, + "loss": 0.7742, + "step": 39847 + }, + { + "epoch": 0.94, + "grad_norm": 1.7542544164685825, + "learning_rate": 1.9584901645960275e-07, + "loss": 0.8065, + "step": 39848 + }, + { + "epoch": 0.94, + "grad_norm": 1.526682658014568, + "learning_rate": 1.956987700068147e-07, + "loss": 0.8094, + "step": 39849 + }, + { + "epoch": 0.94, + "grad_norm": 1.7285423899891172, + "learning_rate": 1.9554858063777215e-07, + "loss": 0.8683, + "step": 39850 + }, + { + "epoch": 0.94, + "grad_norm": 1.7881906641235537, + "learning_rate": 1.953984483533511e-07, + "loss": 0.8077, + "step": 39851 + }, + { + "epoch": 0.94, + "grad_norm": 1.680954558191113, + "learning_rate": 1.9524837315442414e-07, + "loss": 0.9566, + "step": 39852 + }, + { + "epoch": 0.94, + "grad_norm": 1.5629471998892124, + "learning_rate": 1.9509835504186504e-07, + "loss": 0.7245, + "step": 39853 + }, + { + "epoch": 0.94, + "grad_norm": 1.4719872101755038, + "learning_rate": 1.9494839401654642e-07, + "loss": 0.8631, + "step": 39854 + }, + { + "epoch": 0.94, + "grad_norm": 2.3120983311483156, + "learning_rate": 1.9479849007934425e-07, + "loss": 0.8563, + "step": 39855 + }, + { + "epoch": 0.94, + "grad_norm": 1.4294368214991164, + "learning_rate": 1.9464864323112897e-07, + "loss": 0.7726, + "step": 39856 + }, + { + "epoch": 0.94, + "grad_norm": 1.4701176311605775, + "learning_rate": 1.944988534727732e-07, + "loss": 0.8312, + "step": 39857 + }, + { + "epoch": 0.94, + "grad_norm": 1.5707365877739707, + "learning_rate": 1.9434912080514955e-07, + "loss": 0.8563, + "step": 39858 + }, + { + "epoch": 0.94, + "grad_norm": 1.723816263199966, + "learning_rate": 1.941994452291296e-07, + "loss": 0.8428, + "step": 39859 + }, + { + "epoch": 0.94, + "grad_norm": 1.5524036234201235, + "learning_rate": 1.9404982674558593e-07, + "loss": 0.8609, + "step": 39860 + }, + { + "epoch": 0.94, + "grad_norm": 2.102322011793471, + "learning_rate": 1.9390026535538675e-07, + "loss": 0.7728, + "step": 39861 + }, + { + "epoch": 0.94, + "grad_norm": 1.4338411180205601, + "learning_rate": 1.9375076105940693e-07, + "loss": 0.8282, + "step": 39862 + }, + { + "epoch": 0.94, + "grad_norm": 1.5426119585014535, + "learning_rate": 1.9360131385851356e-07, + "loss": 0.8097, + "step": 39863 + }, + { + "epoch": 0.94, + "grad_norm": 1.4198923729564488, + "learning_rate": 1.9345192375357812e-07, + "loss": 0.8605, + "step": 39864 + }, + { + "epoch": 0.94, + "grad_norm": 1.6012381805873575, + "learning_rate": 1.933025907454711e-07, + "loss": 0.8663, + "step": 39865 + }, + { + "epoch": 0.94, + "grad_norm": 0.7409715979497554, + "learning_rate": 1.9315331483506062e-07, + "loss": 0.673, + "step": 39866 + }, + { + "epoch": 0.94, + "grad_norm": 1.8790753493801675, + "learning_rate": 1.930040960232149e-07, + "loss": 0.9018, + "step": 39867 + }, + { + "epoch": 0.94, + "grad_norm": 1.9352582849658129, + "learning_rate": 1.928549343108055e-07, + "loss": 0.7571, + "step": 39868 + }, + { + "epoch": 0.94, + "grad_norm": 1.6132372713473613, + "learning_rate": 1.9270582969870056e-07, + "loss": 0.6173, + "step": 39869 + }, + { + "epoch": 0.94, + "grad_norm": 1.618756161984482, + "learning_rate": 1.9255678218776608e-07, + "loss": 0.9352, + "step": 39870 + }, + { + "epoch": 0.94, + "grad_norm": 1.4439136289209067, + "learning_rate": 1.9240779177887027e-07, + "loss": 0.807, + "step": 39871 + }, + { + "epoch": 0.94, + "grad_norm": 1.6363983287686603, + "learning_rate": 1.922588584728824e-07, + "loss": 0.8859, + "step": 39872 + }, + { + "epoch": 0.94, + "grad_norm": 1.603180656921642, + "learning_rate": 1.9210998227066846e-07, + "loss": 0.9035, + "step": 39873 + }, + { + "epoch": 0.94, + "grad_norm": 1.7548411036790421, + "learning_rate": 1.9196116317309554e-07, + "loss": 0.7263, + "step": 39874 + }, + { + "epoch": 0.94, + "grad_norm": 1.608907166269319, + "learning_rate": 1.918124011810285e-07, + "loss": 0.6706, + "step": 39875 + }, + { + "epoch": 0.94, + "grad_norm": 1.8945770767687626, + "learning_rate": 1.9166369629533664e-07, + "loss": 0.9523, + "step": 39876 + }, + { + "epoch": 0.94, + "grad_norm": 1.9928152054532002, + "learning_rate": 1.9151504851688263e-07, + "loss": 0.8521, + "step": 39877 + }, + { + "epoch": 0.94, + "grad_norm": 0.7711636000702139, + "learning_rate": 1.9136645784653464e-07, + "loss": 0.6845, + "step": 39878 + }, + { + "epoch": 0.94, + "grad_norm": 1.646371998379733, + "learning_rate": 1.912179242851564e-07, + "loss": 0.9085, + "step": 39879 + }, + { + "epoch": 0.94, + "grad_norm": 1.6437199263246, + "learning_rate": 1.910694478336117e-07, + "loss": 0.8063, + "step": 39880 + }, + { + "epoch": 0.94, + "grad_norm": 1.6070272779656138, + "learning_rate": 1.9092102849276651e-07, + "loss": 0.7695, + "step": 39881 + }, + { + "epoch": 0.94, + "grad_norm": 2.739374137472242, + "learning_rate": 1.9077266626348457e-07, + "loss": 0.7048, + "step": 39882 + }, + { + "epoch": 0.94, + "grad_norm": 1.6001990177497396, + "learning_rate": 1.9062436114663073e-07, + "loss": 0.8206, + "step": 39883 + }, + { + "epoch": 0.94, + "grad_norm": 1.4837650296914142, + "learning_rate": 1.9047611314306546e-07, + "loss": 0.7147, + "step": 39884 + }, + { + "epoch": 0.94, + "grad_norm": 1.8344438550659015, + "learning_rate": 1.903279222536547e-07, + "loss": 0.7685, + "step": 39885 + }, + { + "epoch": 0.94, + "grad_norm": 1.9815350134330167, + "learning_rate": 1.9017978847926222e-07, + "loss": 0.8869, + "step": 39886 + }, + { + "epoch": 0.94, + "grad_norm": 1.6038695926548814, + "learning_rate": 1.9003171182074732e-07, + "loss": 0.7446, + "step": 39887 + }, + { + "epoch": 0.94, + "grad_norm": 2.0746349329960814, + "learning_rate": 1.8988369227897263e-07, + "loss": 0.8958, + "step": 39888 + }, + { + "epoch": 0.94, + "grad_norm": 1.6796276791588038, + "learning_rate": 1.8973572985480193e-07, + "loss": 0.863, + "step": 39889 + }, + { + "epoch": 0.94, + "grad_norm": 1.7809224190066282, + "learning_rate": 1.8958782454909563e-07, + "loss": 0.985, + "step": 39890 + }, + { + "epoch": 0.94, + "grad_norm": 0.7561782236715932, + "learning_rate": 1.8943997636271528e-07, + "loss": 0.7104, + "step": 39891 + }, + { + "epoch": 0.94, + "grad_norm": 1.5918566309172435, + "learning_rate": 1.8929218529652128e-07, + "loss": 0.8194, + "step": 39892 + }, + { + "epoch": 0.94, + "grad_norm": 1.8293496361841277, + "learning_rate": 1.8914445135137405e-07, + "loss": 0.7062, + "step": 39893 + }, + { + "epoch": 0.94, + "grad_norm": 1.5392412841105751, + "learning_rate": 1.889967745281329e-07, + "loss": 0.7151, + "step": 39894 + }, + { + "epoch": 0.94, + "grad_norm": 1.6591278989558271, + "learning_rate": 1.8884915482766054e-07, + "loss": 0.8841, + "step": 39895 + }, + { + "epoch": 0.94, + "grad_norm": 1.6562599716583608, + "learning_rate": 1.8870159225081285e-07, + "loss": 0.7584, + "step": 39896 + }, + { + "epoch": 0.94, + "grad_norm": 2.0510860620767084, + "learning_rate": 1.8855408679845143e-07, + "loss": 0.763, + "step": 39897 + }, + { + "epoch": 0.94, + "grad_norm": 1.8038967253068585, + "learning_rate": 1.884066384714345e-07, + "loss": 0.8629, + "step": 39898 + }, + { + "epoch": 0.94, + "grad_norm": 1.5261569056372994, + "learning_rate": 1.8825924727062016e-07, + "loss": 0.8056, + "step": 39899 + }, + { + "epoch": 0.94, + "grad_norm": 3.0412218038372063, + "learning_rate": 1.8811191319686783e-07, + "loss": 0.7663, + "step": 39900 + }, + { + "epoch": 0.94, + "grad_norm": 1.6071125297177922, + "learning_rate": 1.8796463625103233e-07, + "loss": 0.8746, + "step": 39901 + }, + { + "epoch": 0.94, + "grad_norm": 2.1121944428426858, + "learning_rate": 1.8781741643397412e-07, + "loss": 0.816, + "step": 39902 + }, + { + "epoch": 0.94, + "grad_norm": 0.7871055354827516, + "learning_rate": 1.8767025374655023e-07, + "loss": 0.6677, + "step": 39903 + }, + { + "epoch": 0.94, + "grad_norm": 1.613550369963563, + "learning_rate": 1.875231481896167e-07, + "loss": 0.7709, + "step": 39904 + }, + { + "epoch": 0.94, + "grad_norm": 1.582508172027847, + "learning_rate": 1.8737609976402836e-07, + "loss": 0.9239, + "step": 39905 + }, + { + "epoch": 0.94, + "grad_norm": 1.9044300620105035, + "learning_rate": 1.8722910847064346e-07, + "loss": 0.6918, + "step": 39906 + }, + { + "epoch": 0.94, + "grad_norm": 1.7560627094116756, + "learning_rate": 1.8708217431031793e-07, + "loss": 0.9, + "step": 39907 + }, + { + "epoch": 0.94, + "grad_norm": 1.4931329425672786, + "learning_rate": 1.869352972839067e-07, + "loss": 0.8824, + "step": 39908 + }, + { + "epoch": 0.94, + "grad_norm": 1.6249709753772241, + "learning_rate": 1.8678847739226459e-07, + "loss": 0.851, + "step": 39909 + }, + { + "epoch": 0.94, + "grad_norm": 1.5116717861240068, + "learning_rate": 1.8664171463624648e-07, + "loss": 0.737, + "step": 39910 + }, + { + "epoch": 0.94, + "grad_norm": 1.5810335317224773, + "learning_rate": 1.8649500901670837e-07, + "loss": 0.7906, + "step": 39911 + }, + { + "epoch": 0.94, + "grad_norm": 1.5920590753003354, + "learning_rate": 1.863483605345029e-07, + "loss": 0.9422, + "step": 39912 + }, + { + "epoch": 0.94, + "grad_norm": 1.6945642605361955, + "learning_rate": 1.8620176919048273e-07, + "loss": 0.7844, + "step": 39913 + }, + { + "epoch": 0.94, + "grad_norm": 1.5937497555734585, + "learning_rate": 1.860552349855038e-07, + "loss": 0.9289, + "step": 39914 + }, + { + "epoch": 0.94, + "grad_norm": 1.6027204956330114, + "learning_rate": 1.8590875792041884e-07, + "loss": 0.8334, + "step": 39915 + }, + { + "epoch": 0.94, + "grad_norm": 1.712431087903932, + "learning_rate": 1.8576233799608046e-07, + "loss": 0.7824, + "step": 39916 + }, + { + "epoch": 0.94, + "grad_norm": 1.4736042045997853, + "learning_rate": 1.8561597521334018e-07, + "loss": 0.8089, + "step": 39917 + }, + { + "epoch": 0.94, + "grad_norm": 1.702029839275282, + "learning_rate": 1.854696695730507e-07, + "loss": 0.7305, + "step": 39918 + }, + { + "epoch": 0.94, + "grad_norm": 1.8839299034123307, + "learning_rate": 1.853234210760635e-07, + "loss": 0.8293, + "step": 39919 + }, + { + "epoch": 0.94, + "grad_norm": 1.5836077006813356, + "learning_rate": 1.8517722972323239e-07, + "loss": 0.921, + "step": 39920 + }, + { + "epoch": 0.94, + "grad_norm": 1.7638922725386292, + "learning_rate": 1.8503109551540556e-07, + "loss": 0.7299, + "step": 39921 + }, + { + "epoch": 0.94, + "grad_norm": 1.7219609942495897, + "learning_rate": 1.8488501845343565e-07, + "loss": 0.8101, + "step": 39922 + }, + { + "epoch": 0.94, + "grad_norm": 1.6932273316077626, + "learning_rate": 1.847389985381709e-07, + "loss": 0.7345, + "step": 39923 + }, + { + "epoch": 0.94, + "grad_norm": 1.655148406233236, + "learning_rate": 1.8459303577046505e-07, + "loss": 0.7708, + "step": 39924 + }, + { + "epoch": 0.94, + "grad_norm": 1.5245594409569279, + "learning_rate": 1.8444713015116632e-07, + "loss": 0.5899, + "step": 39925 + }, + { + "epoch": 0.94, + "grad_norm": 1.4688618685455972, + "learning_rate": 1.8430128168112293e-07, + "loss": 0.7832, + "step": 39926 + }, + { + "epoch": 0.94, + "grad_norm": 1.6764671482027957, + "learning_rate": 1.841554903611842e-07, + "loss": 0.7494, + "step": 39927 + }, + { + "epoch": 0.94, + "grad_norm": 1.9654424520239353, + "learning_rate": 1.8400975619220163e-07, + "loss": 0.8764, + "step": 39928 + }, + { + "epoch": 0.94, + "grad_norm": 1.735057029915579, + "learning_rate": 1.8386407917502126e-07, + "loss": 0.817, + "step": 39929 + }, + { + "epoch": 0.94, + "grad_norm": 1.5725341490751923, + "learning_rate": 1.8371845931049126e-07, + "loss": 0.9304, + "step": 39930 + }, + { + "epoch": 0.94, + "grad_norm": 1.7293022194199326, + "learning_rate": 1.8357289659946098e-07, + "loss": 0.9689, + "step": 39931 + }, + { + "epoch": 0.94, + "grad_norm": 1.7469415400319661, + "learning_rate": 1.8342739104277753e-07, + "loss": 0.8783, + "step": 39932 + }, + { + "epoch": 0.94, + "grad_norm": 0.7807328822805935, + "learning_rate": 1.8328194264128686e-07, + "loss": 0.7099, + "step": 39933 + }, + { + "epoch": 0.94, + "grad_norm": 1.4836013648002566, + "learning_rate": 1.831365513958361e-07, + "loss": 0.8127, + "step": 39934 + }, + { + "epoch": 0.94, + "grad_norm": 1.4388925244080035, + "learning_rate": 1.8299121730727342e-07, + "loss": 0.6782, + "step": 39935 + }, + { + "epoch": 0.94, + "grad_norm": 1.6247471846414132, + "learning_rate": 1.8284594037644377e-07, + "loss": 0.8173, + "step": 39936 + }, + { + "epoch": 0.94, + "grad_norm": 1.707956302081064, + "learning_rate": 1.8270072060419308e-07, + "loss": 0.8511, + "step": 39937 + }, + { + "epoch": 0.94, + "grad_norm": 2.215855908586041, + "learning_rate": 1.8255555799136627e-07, + "loss": 0.7286, + "step": 39938 + }, + { + "epoch": 0.94, + "grad_norm": 1.5861447786917142, + "learning_rate": 1.824104525388104e-07, + "loss": 0.8214, + "step": 39939 + }, + { + "epoch": 0.94, + "grad_norm": 1.8931125874177508, + "learning_rate": 1.8226540424736706e-07, + "loss": 0.7722, + "step": 39940 + }, + { + "epoch": 0.94, + "grad_norm": 1.74124006617663, + "learning_rate": 1.8212041311788442e-07, + "loss": 0.8177, + "step": 39941 + }, + { + "epoch": 0.94, + "grad_norm": 0.7594071622052209, + "learning_rate": 1.8197547915120407e-07, + "loss": 0.704, + "step": 39942 + }, + { + "epoch": 0.94, + "grad_norm": 0.7481762349765858, + "learning_rate": 1.8183060234817196e-07, + "loss": 0.7174, + "step": 39943 + }, + { + "epoch": 0.94, + "grad_norm": 2.4676146966632952, + "learning_rate": 1.8168578270962968e-07, + "loss": 0.8353, + "step": 39944 + }, + { + "epoch": 0.94, + "grad_norm": 1.7128734606113396, + "learning_rate": 1.8154102023642205e-07, + "loss": 0.8377, + "step": 39945 + }, + { + "epoch": 0.94, + "grad_norm": 1.4732355093300487, + "learning_rate": 1.813963149293907e-07, + "loss": 0.7392, + "step": 39946 + }, + { + "epoch": 0.94, + "grad_norm": 1.703917690371485, + "learning_rate": 1.812516667893771e-07, + "loss": 0.8655, + "step": 39947 + }, + { + "epoch": 0.94, + "grad_norm": 2.4360626120806437, + "learning_rate": 1.811070758172262e-07, + "loss": 0.9468, + "step": 39948 + }, + { + "epoch": 0.94, + "grad_norm": 1.6471221482521679, + "learning_rate": 1.8096254201377838e-07, + "loss": 0.7673, + "step": 39949 + }, + { + "epoch": 0.94, + "grad_norm": 1.6939574208753783, + "learning_rate": 1.8081806537987524e-07, + "loss": 0.9074, + "step": 39950 + }, + { + "epoch": 0.94, + "grad_norm": 1.8188818203514519, + "learning_rate": 1.8067364591635828e-07, + "loss": 0.8402, + "step": 39951 + }, + { + "epoch": 0.94, + "grad_norm": 1.6630909644249436, + "learning_rate": 1.8052928362406686e-07, + "loss": 0.7387, + "step": 39952 + }, + { + "epoch": 0.94, + "grad_norm": 1.8518840497477598, + "learning_rate": 1.803849785038436e-07, + "loss": 0.7363, + "step": 39953 + }, + { + "epoch": 0.94, + "grad_norm": 1.5724186522563264, + "learning_rate": 1.8024073055652903e-07, + "loss": 0.7556, + "step": 39954 + }, + { + "epoch": 0.94, + "grad_norm": 1.845236786693327, + "learning_rate": 1.8009653978296017e-07, + "loss": 0.8616, + "step": 39955 + }, + { + "epoch": 0.94, + "grad_norm": 1.8720958638138954, + "learning_rate": 1.7995240618397859e-07, + "loss": 0.7999, + "step": 39956 + }, + { + "epoch": 0.94, + "grad_norm": 1.6960442055552025, + "learning_rate": 1.798083297604236e-07, + "loss": 0.7986, + "step": 39957 + }, + { + "epoch": 0.94, + "grad_norm": 2.042714490907615, + "learning_rate": 1.7966431051313349e-07, + "loss": 0.7643, + "step": 39958 + }, + { + "epoch": 0.94, + "grad_norm": 1.8307836684245367, + "learning_rate": 1.795203484429453e-07, + "loss": 0.8859, + "step": 39959 + }, + { + "epoch": 0.94, + "grad_norm": 1.620279968768812, + "learning_rate": 1.793764435507006e-07, + "loss": 0.8254, + "step": 39960 + }, + { + "epoch": 0.94, + "grad_norm": 1.6284678141451583, + "learning_rate": 1.792325958372343e-07, + "loss": 0.9178, + "step": 39961 + }, + { + "epoch": 0.94, + "grad_norm": 1.6491771792429302, + "learning_rate": 1.7908880530338457e-07, + "loss": 0.8019, + "step": 39962 + }, + { + "epoch": 0.94, + "grad_norm": 1.428399758117875, + "learning_rate": 1.7894507194999077e-07, + "loss": 0.7934, + "step": 39963 + }, + { + "epoch": 0.94, + "grad_norm": 1.8904930306798216, + "learning_rate": 1.7880139577788779e-07, + "loss": 0.8468, + "step": 39964 + }, + { + "epoch": 0.94, + "grad_norm": 0.7628091656064802, + "learning_rate": 1.7865777678791163e-07, + "loss": 0.7264, + "step": 39965 + }, + { + "epoch": 0.94, + "grad_norm": 2.8686113000733706, + "learning_rate": 1.7851421498089826e-07, + "loss": 0.776, + "step": 39966 + }, + { + "epoch": 0.94, + "grad_norm": 1.654327950771917, + "learning_rate": 1.7837071035768704e-07, + "loss": 1.0034, + "step": 39967 + }, + { + "epoch": 0.94, + "grad_norm": 1.5429836656884652, + "learning_rate": 1.7822726291910952e-07, + "loss": 0.7223, + "step": 39968 + }, + { + "epoch": 0.94, + "grad_norm": 1.774650720377051, + "learning_rate": 1.780838726660028e-07, + "loss": 0.8681, + "step": 39969 + }, + { + "epoch": 0.94, + "grad_norm": 1.9515681320545626, + "learning_rate": 1.7794053959920065e-07, + "loss": 0.8694, + "step": 39970 + }, + { + "epoch": 0.94, + "grad_norm": 1.5772212655713906, + "learning_rate": 1.777972637195402e-07, + "loss": 0.7677, + "step": 39971 + }, + { + "epoch": 0.94, + "grad_norm": 1.5712086643535446, + "learning_rate": 1.776540450278519e-07, + "loss": 0.8788, + "step": 39972 + }, + { + "epoch": 0.94, + "grad_norm": 2.5423571374528047, + "learning_rate": 1.775108835249717e-07, + "loss": 0.791, + "step": 39973 + }, + { + "epoch": 0.94, + "grad_norm": 1.5864805302076948, + "learning_rate": 1.7736777921173343e-07, + "loss": 0.8367, + "step": 39974 + }, + { + "epoch": 0.94, + "grad_norm": 1.9211038751341896, + "learning_rate": 1.7722473208896862e-07, + "loss": 0.8703, + "step": 39975 + }, + { + "epoch": 0.94, + "grad_norm": 0.7894816765006012, + "learning_rate": 1.7708174215751217e-07, + "loss": 0.7335, + "step": 39976 + }, + { + "epoch": 0.94, + "grad_norm": 1.772787788726163, + "learning_rate": 1.7693880941819564e-07, + "loss": 0.8254, + "step": 39977 + }, + { + "epoch": 0.94, + "grad_norm": 0.7514195519177643, + "learning_rate": 1.7679593387185169e-07, + "loss": 0.7217, + "step": 39978 + }, + { + "epoch": 0.94, + "grad_norm": 1.7064599338612734, + "learning_rate": 1.7665311551931075e-07, + "loss": 0.7616, + "step": 39979 + }, + { + "epoch": 0.94, + "grad_norm": 1.6415001227914348, + "learning_rate": 1.7651035436140662e-07, + "loss": 0.9821, + "step": 39980 + }, + { + "epoch": 0.94, + "grad_norm": 1.4444253637028956, + "learning_rate": 1.7636765039896865e-07, + "loss": 0.7698, + "step": 39981 + }, + { + "epoch": 0.94, + "grad_norm": 1.4685013173652226, + "learning_rate": 1.7622500363282836e-07, + "loss": 0.8458, + "step": 39982 + }, + { + "epoch": 0.94, + "grad_norm": 0.822594139359328, + "learning_rate": 1.7608241406381509e-07, + "loss": 0.7018, + "step": 39983 + }, + { + "epoch": 0.94, + "grad_norm": 1.6306868987156973, + "learning_rate": 1.7593988169276156e-07, + "loss": 0.8482, + "step": 39984 + }, + { + "epoch": 0.94, + "grad_norm": 1.4444754926760777, + "learning_rate": 1.7579740652049705e-07, + "loss": 0.8219, + "step": 39985 + }, + { + "epoch": 0.94, + "grad_norm": 1.865564295852521, + "learning_rate": 1.7565498854784868e-07, + "loss": 0.8415, + "step": 39986 + }, + { + "epoch": 0.94, + "grad_norm": 0.7432733063382845, + "learning_rate": 1.7551262777564693e-07, + "loss": 0.6642, + "step": 39987 + }, + { + "epoch": 0.94, + "grad_norm": 1.707698598553083, + "learning_rate": 1.7537032420472334e-07, + "loss": 0.783, + "step": 39988 + }, + { + "epoch": 0.94, + "grad_norm": 1.5546336482363836, + "learning_rate": 1.7522807783590278e-07, + "loss": 0.9301, + "step": 39989 + }, + { + "epoch": 0.94, + "grad_norm": 1.4517843985294732, + "learning_rate": 1.7508588867001463e-07, + "loss": 0.8268, + "step": 39990 + }, + { + "epoch": 0.94, + "grad_norm": 1.5835623029255657, + "learning_rate": 1.749437567078871e-07, + "loss": 0.7518, + "step": 39991 + }, + { + "epoch": 0.94, + "grad_norm": 1.6464752935568339, + "learning_rate": 1.748016819503473e-07, + "loss": 0.9529, + "step": 39992 + }, + { + "epoch": 0.94, + "grad_norm": 1.7541125319509507, + "learning_rate": 1.7465966439822346e-07, + "loss": 0.7702, + "step": 39993 + }, + { + "epoch": 0.94, + "grad_norm": 1.7169005361465772, + "learning_rate": 1.745177040523416e-07, + "loss": 0.8882, + "step": 39994 + }, + { + "epoch": 0.94, + "grad_norm": 1.6522079130049432, + "learning_rate": 1.7437580091352878e-07, + "loss": 0.8239, + "step": 39995 + }, + { + "epoch": 0.94, + "grad_norm": 2.5296500374826967, + "learning_rate": 1.7423395498260887e-07, + "loss": 0.8831, + "step": 39996 + }, + { + "epoch": 0.94, + "grad_norm": 1.5571424955637523, + "learning_rate": 1.7409216626041225e-07, + "loss": 0.9393, + "step": 39997 + }, + { + "epoch": 0.94, + "grad_norm": 1.5830586546293859, + "learning_rate": 1.7395043474775942e-07, + "loss": 0.8555, + "step": 39998 + }, + { + "epoch": 0.94, + "grad_norm": 1.7179809142281546, + "learning_rate": 1.7380876044547966e-07, + "loss": 0.866, + "step": 39999 + }, + { + "epoch": 0.94, + "grad_norm": 0.7579745390640262, + "learning_rate": 1.736671433543957e-07, + "loss": 0.7286, + "step": 40000 + }, + { + "epoch": 0.94, + "grad_norm": 1.4332087883268145, + "learning_rate": 1.7352558347533243e-07, + "loss": 0.7032, + "step": 40001 + }, + { + "epoch": 0.94, + "grad_norm": 0.7498169810295443, + "learning_rate": 1.7338408080911473e-07, + "loss": 0.6165, + "step": 40002 + }, + { + "epoch": 0.94, + "grad_norm": 1.641278270069481, + "learning_rate": 1.7324263535656528e-07, + "loss": 0.8738, + "step": 40003 + }, + { + "epoch": 0.94, + "grad_norm": 0.7751640824888448, + "learning_rate": 1.7310124711850894e-07, + "loss": 0.7438, + "step": 40004 + }, + { + "epoch": 0.94, + "grad_norm": 1.6725494202863795, + "learning_rate": 1.7295991609576845e-07, + "loss": 0.8257, + "step": 40005 + }, + { + "epoch": 0.94, + "grad_norm": 1.534262150946677, + "learning_rate": 1.7281864228916644e-07, + "loss": 0.825, + "step": 40006 + }, + { + "epoch": 0.94, + "grad_norm": 1.5976681651280853, + "learning_rate": 1.726774256995245e-07, + "loss": 0.9571, + "step": 40007 + }, + { + "epoch": 0.94, + "grad_norm": 0.8287589873073025, + "learning_rate": 1.725362663276653e-07, + "loss": 0.77, + "step": 40008 + }, + { + "epoch": 0.94, + "grad_norm": 1.5397761839961448, + "learning_rate": 1.723951641744137e-07, + "loss": 0.8361, + "step": 40009 + }, + { + "epoch": 0.94, + "grad_norm": 1.7100797258054625, + "learning_rate": 1.72254119240588e-07, + "loss": 0.7716, + "step": 40010 + }, + { + "epoch": 0.94, + "grad_norm": 1.477205906989825, + "learning_rate": 1.721131315270097e-07, + "loss": 0.8404, + "step": 40011 + }, + { + "epoch": 0.94, + "grad_norm": 1.591659462810437, + "learning_rate": 1.719722010344993e-07, + "loss": 0.8174, + "step": 40012 + }, + { + "epoch": 0.94, + "grad_norm": 1.4950993198595368, + "learning_rate": 1.7183132776387945e-07, + "loss": 0.8939, + "step": 40013 + }, + { + "epoch": 0.94, + "grad_norm": 1.6564247774628635, + "learning_rate": 1.716905117159695e-07, + "loss": 0.8239, + "step": 40014 + }, + { + "epoch": 0.94, + "grad_norm": 1.8984662354914448, + "learning_rate": 1.715497528915888e-07, + "loss": 0.8082, + "step": 40015 + }, + { + "epoch": 0.94, + "grad_norm": 1.5875036736555777, + "learning_rate": 1.714090512915567e-07, + "loss": 0.9182, + "step": 40016 + }, + { + "epoch": 0.94, + "grad_norm": 1.5185378122771982, + "learning_rate": 1.7126840691669255e-07, + "loss": 0.7271, + "step": 40017 + }, + { + "epoch": 0.94, + "grad_norm": 2.072931766643773, + "learning_rate": 1.7112781976781567e-07, + "loss": 0.9383, + "step": 40018 + }, + { + "epoch": 0.94, + "grad_norm": 1.5113647528767145, + "learning_rate": 1.709872898457443e-07, + "loss": 0.8616, + "step": 40019 + }, + { + "epoch": 0.94, + "grad_norm": 0.8290167462633257, + "learning_rate": 1.708468171512978e-07, + "loss": 0.7137, + "step": 40020 + }, + { + "epoch": 0.94, + "grad_norm": 1.4965055049416671, + "learning_rate": 1.7070640168529107e-07, + "loss": 0.8435, + "step": 40021 + }, + { + "epoch": 0.94, + "grad_norm": 1.4690339331652371, + "learning_rate": 1.7056604344854565e-07, + "loss": 0.7797, + "step": 40022 + }, + { + "epoch": 0.94, + "grad_norm": 2.1868471681156416, + "learning_rate": 1.7042574244187537e-07, + "loss": 0.7706, + "step": 40023 + }, + { + "epoch": 0.94, + "grad_norm": 2.0750689669462417, + "learning_rate": 1.7028549866609845e-07, + "loss": 0.8181, + "step": 40024 + }, + { + "epoch": 0.94, + "grad_norm": 1.4762941753241734, + "learning_rate": 1.7014531212203088e-07, + "loss": 0.8852, + "step": 40025 + }, + { + "epoch": 0.94, + "grad_norm": 1.5686320390223107, + "learning_rate": 1.7000518281049093e-07, + "loss": 0.7745, + "step": 40026 + }, + { + "epoch": 0.94, + "grad_norm": 1.6472061077230196, + "learning_rate": 1.698651107322924e-07, + "loss": 0.8735, + "step": 40027 + }, + { + "epoch": 0.94, + "grad_norm": 1.603432763255213, + "learning_rate": 1.6972509588825015e-07, + "loss": 0.8175, + "step": 40028 + }, + { + "epoch": 0.94, + "grad_norm": 2.0124136935600005, + "learning_rate": 1.6958513827918134e-07, + "loss": 0.8337, + "step": 40029 + }, + { + "epoch": 0.94, + "grad_norm": 1.594556348629907, + "learning_rate": 1.6944523790590084e-07, + "loss": 0.8542, + "step": 40030 + }, + { + "epoch": 0.94, + "grad_norm": 1.98283408118147, + "learning_rate": 1.6930539476922248e-07, + "loss": 0.8579, + "step": 40031 + }, + { + "epoch": 0.94, + "grad_norm": 1.7689540309552692, + "learning_rate": 1.6916560886995893e-07, + "loss": 0.7961, + "step": 40032 + }, + { + "epoch": 0.94, + "grad_norm": 0.7814480650252832, + "learning_rate": 1.690258802089262e-07, + "loss": 0.6662, + "step": 40033 + }, + { + "epoch": 0.94, + "grad_norm": 0.7399143794175018, + "learning_rate": 1.6888620878693806e-07, + "loss": 0.6509, + "step": 40034 + }, + { + "epoch": 0.94, + "grad_norm": 1.4597929048483762, + "learning_rate": 1.6874659460480726e-07, + "loss": 0.773, + "step": 40035 + }, + { + "epoch": 0.94, + "grad_norm": 1.7794314990360047, + "learning_rate": 1.686070376633453e-07, + "loss": 0.9206, + "step": 40036 + }, + { + "epoch": 0.94, + "grad_norm": 1.6781549536154086, + "learning_rate": 1.6846753796336491e-07, + "loss": 0.7916, + "step": 40037 + }, + { + "epoch": 0.94, + "grad_norm": 1.9439706467307414, + "learning_rate": 1.6832809550568097e-07, + "loss": 0.8972, + "step": 40038 + }, + { + "epoch": 0.94, + "grad_norm": 1.5840246693770874, + "learning_rate": 1.6818871029110284e-07, + "loss": 0.8366, + "step": 40039 + }, + { + "epoch": 0.94, + "grad_norm": 1.5730882814080536, + "learning_rate": 1.680493823204421e-07, + "loss": 0.6658, + "step": 40040 + }, + { + "epoch": 0.94, + "grad_norm": 1.6470598027207708, + "learning_rate": 1.6791011159451141e-07, + "loss": 0.7985, + "step": 40041 + }, + { + "epoch": 0.94, + "grad_norm": 1.5625668890985598, + "learning_rate": 1.6777089811412017e-07, + "loss": 0.8312, + "step": 40042 + }, + { + "epoch": 0.94, + "grad_norm": 1.995430922484778, + "learning_rate": 1.676317418800799e-07, + "loss": 0.8927, + "step": 40043 + }, + { + "epoch": 0.94, + "grad_norm": 3.6253042758139213, + "learning_rate": 1.6749264289320111e-07, + "loss": 0.7574, + "step": 40044 + }, + { + "epoch": 0.94, + "grad_norm": 1.8763539094490855, + "learning_rate": 1.67353601154292e-07, + "loss": 0.7422, + "step": 40045 + }, + { + "epoch": 0.94, + "grad_norm": 0.7879196738733929, + "learning_rate": 1.6721461666416305e-07, + "loss": 0.7528, + "step": 40046 + }, + { + "epoch": 0.94, + "grad_norm": 1.6845171784922248, + "learning_rate": 1.6707568942362473e-07, + "loss": 0.8275, + "step": 40047 + }, + { + "epoch": 0.94, + "grad_norm": 1.6794189647037436, + "learning_rate": 1.6693681943348527e-07, + "loss": 0.8133, + "step": 40048 + }, + { + "epoch": 0.94, + "grad_norm": 1.5286547674016533, + "learning_rate": 1.6679800669455072e-07, + "loss": 0.724, + "step": 40049 + }, + { + "epoch": 0.94, + "grad_norm": 1.5337154744584571, + "learning_rate": 1.666592512076326e-07, + "loss": 0.8178, + "step": 40050 + }, + { + "epoch": 0.94, + "grad_norm": 1.6542028014529173, + "learning_rate": 1.6652055297353698e-07, + "loss": 0.9018, + "step": 40051 + }, + { + "epoch": 0.94, + "grad_norm": 1.9893573919733538, + "learning_rate": 1.663819119930732e-07, + "loss": 0.777, + "step": 40052 + }, + { + "epoch": 0.94, + "grad_norm": 1.563653617826187, + "learning_rate": 1.6624332826704616e-07, + "loss": 0.6663, + "step": 40053 + }, + { + "epoch": 0.94, + "grad_norm": 1.613733939688744, + "learning_rate": 1.66104801796263e-07, + "loss": 0.7701, + "step": 40054 + }, + { + "epoch": 0.94, + "grad_norm": 6.231253506410946, + "learning_rate": 1.6596633258153193e-07, + "loss": 0.7956, + "step": 40055 + }, + { + "epoch": 0.94, + "grad_norm": 1.5247269191176647, + "learning_rate": 1.6582792062365905e-07, + "loss": 0.7607, + "step": 40056 + }, + { + "epoch": 0.94, + "grad_norm": 1.7370930239736964, + "learning_rate": 1.6568956592344808e-07, + "loss": 0.7126, + "step": 40057 + }, + { + "epoch": 0.94, + "grad_norm": 1.8317176531004222, + "learning_rate": 1.6555126848170622e-07, + "loss": 0.7674, + "step": 40058 + }, + { + "epoch": 0.94, + "grad_norm": 1.5474482149735678, + "learning_rate": 1.6541302829923945e-07, + "loss": 0.8328, + "step": 40059 + }, + { + "epoch": 0.94, + "grad_norm": 1.7805531565036652, + "learning_rate": 1.6527484537684935e-07, + "loss": 0.8724, + "step": 40060 + }, + { + "epoch": 0.94, + "grad_norm": 1.660233765012612, + "learning_rate": 1.6513671971534528e-07, + "loss": 0.9838, + "step": 40061 + }, + { + "epoch": 0.94, + "grad_norm": 1.592624446986101, + "learning_rate": 1.6499865131552773e-07, + "loss": 0.8071, + "step": 40062 + }, + { + "epoch": 0.94, + "grad_norm": 2.345814469739683, + "learning_rate": 1.6486064017820157e-07, + "loss": 0.8288, + "step": 40063 + }, + { + "epoch": 0.94, + "grad_norm": 1.8123156695252085, + "learning_rate": 1.6472268630417065e-07, + "loss": 0.9362, + "step": 40064 + }, + { + "epoch": 0.94, + "grad_norm": 1.708904893252999, + "learning_rate": 1.6458478969423876e-07, + "loss": 0.8431, + "step": 40065 + }, + { + "epoch": 0.94, + "grad_norm": 1.5983459606024182, + "learning_rate": 1.6444695034920743e-07, + "loss": 0.8768, + "step": 40066 + }, + { + "epoch": 0.94, + "grad_norm": 1.4435731252424229, + "learning_rate": 1.643091682698794e-07, + "loss": 0.7322, + "step": 40067 + }, + { + "epoch": 0.94, + "grad_norm": 1.4878300487736722, + "learning_rate": 1.6417144345705738e-07, + "loss": 0.8641, + "step": 40068 + }, + { + "epoch": 0.94, + "grad_norm": 1.6569312088465484, + "learning_rate": 1.6403377591154512e-07, + "loss": 0.8979, + "step": 40069 + }, + { + "epoch": 0.94, + "grad_norm": 1.6266867437378068, + "learning_rate": 1.6389616563413978e-07, + "loss": 0.7738, + "step": 40070 + }, + { + "epoch": 0.94, + "grad_norm": 1.9671050539697759, + "learning_rate": 1.637586126256463e-07, + "loss": 0.7862, + "step": 40071 + }, + { + "epoch": 0.94, + "grad_norm": 1.474592618657586, + "learning_rate": 1.6362111688686288e-07, + "loss": 0.603, + "step": 40072 + }, + { + "epoch": 0.94, + "grad_norm": 1.5235314951152077, + "learning_rate": 1.6348367841859337e-07, + "loss": 0.8036, + "step": 40073 + }, + { + "epoch": 0.94, + "grad_norm": 2.6035085840185457, + "learning_rate": 1.6334629722163597e-07, + "loss": 0.8193, + "step": 40074 + }, + { + "epoch": 0.94, + "grad_norm": 1.6612812981862426, + "learning_rate": 1.6320897329678899e-07, + "loss": 0.8315, + "step": 40075 + }, + { + "epoch": 0.94, + "grad_norm": 0.8269192581566188, + "learning_rate": 1.6307170664485506e-07, + "loss": 0.6385, + "step": 40076 + }, + { + "epoch": 0.94, + "grad_norm": 1.4861059904780107, + "learning_rate": 1.6293449726663136e-07, + "loss": 0.8432, + "step": 40077 + }, + { + "epoch": 0.94, + "grad_norm": 2.008206888885445, + "learning_rate": 1.6279734516291724e-07, + "loss": 0.8004, + "step": 40078 + }, + { + "epoch": 0.94, + "grad_norm": 1.6916917616781064, + "learning_rate": 1.6266025033451206e-07, + "loss": 0.7551, + "step": 40079 + }, + { + "epoch": 0.94, + "grad_norm": 2.7085665934470153, + "learning_rate": 1.6252321278221294e-07, + "loss": 0.9425, + "step": 40080 + }, + { + "epoch": 0.94, + "grad_norm": 1.6092909972132914, + "learning_rate": 1.6238623250681817e-07, + "loss": 0.7843, + "step": 40081 + }, + { + "epoch": 0.94, + "grad_norm": 1.611293960736515, + "learning_rate": 1.6224930950912487e-07, + "loss": 0.9853, + "step": 40082 + }, + { + "epoch": 0.94, + "grad_norm": 1.6446028082081434, + "learning_rate": 1.621124437899324e-07, + "loss": 0.7473, + "step": 40083 + }, + { + "epoch": 0.94, + "grad_norm": 1.6834596580649825, + "learning_rate": 1.6197563535003347e-07, + "loss": 0.8219, + "step": 40084 + }, + { + "epoch": 0.94, + "grad_norm": 2.075212566261932, + "learning_rate": 1.6183888419022854e-07, + "loss": 0.7573, + "step": 40085 + }, + { + "epoch": 0.94, + "grad_norm": 1.4428041575730841, + "learning_rate": 1.617021903113114e-07, + "loss": 0.7408, + "step": 40086 + }, + { + "epoch": 0.94, + "grad_norm": 1.6038001406262536, + "learning_rate": 1.6156555371408033e-07, + "loss": 0.7532, + "step": 40087 + }, + { + "epoch": 0.94, + "grad_norm": 1.8215678225413907, + "learning_rate": 1.6142897439932804e-07, + "loss": 0.8395, + "step": 40088 + }, + { + "epoch": 0.94, + "grad_norm": 1.5819149674585604, + "learning_rate": 1.6129245236785162e-07, + "loss": 0.7621, + "step": 40089 + }, + { + "epoch": 0.94, + "grad_norm": 1.6842020652312435, + "learning_rate": 1.6115598762044493e-07, + "loss": 0.8234, + "step": 40090 + }, + { + "epoch": 0.94, + "grad_norm": 2.0597740300126364, + "learning_rate": 1.6101958015790397e-07, + "loss": 0.7573, + "step": 40091 + }, + { + "epoch": 0.94, + "grad_norm": 1.6316347185756994, + "learning_rate": 1.6088322998102147e-07, + "loss": 0.8612, + "step": 40092 + }, + { + "epoch": 0.94, + "grad_norm": 2.107965155597637, + "learning_rate": 1.607469370905912e-07, + "loss": 0.8452, + "step": 40093 + }, + { + "epoch": 0.94, + "grad_norm": 1.644054630630894, + "learning_rate": 1.606107014874081e-07, + "loss": 0.8116, + "step": 40094 + }, + { + "epoch": 0.94, + "grad_norm": 1.5115199698026884, + "learning_rate": 1.6047452317226485e-07, + "loss": 0.9116, + "step": 40095 + }, + { + "epoch": 0.94, + "grad_norm": 1.9937627509178937, + "learning_rate": 1.6033840214595309e-07, + "loss": 0.8704, + "step": 40096 + }, + { + "epoch": 0.94, + "grad_norm": 1.7257384184692761, + "learning_rate": 1.602023384092677e-07, + "loss": 0.8463, + "step": 40097 + }, + { + "epoch": 0.94, + "grad_norm": 1.4959349413943805, + "learning_rate": 1.6006633196299804e-07, + "loss": 0.7687, + "step": 40098 + }, + { + "epoch": 0.94, + "grad_norm": 1.693817589829888, + "learning_rate": 1.5993038280793905e-07, + "loss": 0.8874, + "step": 40099 + }, + { + "epoch": 0.94, + "grad_norm": 1.8754283340338715, + "learning_rate": 1.5979449094487898e-07, + "loss": 0.8421, + "step": 40100 + }, + { + "epoch": 0.94, + "grad_norm": 1.5659536495015454, + "learning_rate": 1.5965865637461163e-07, + "loss": 0.935, + "step": 40101 + }, + { + "epoch": 0.94, + "grad_norm": 0.8156388251573479, + "learning_rate": 1.595228790979264e-07, + "loss": 0.7096, + "step": 40102 + }, + { + "epoch": 0.94, + "grad_norm": 1.7927696503419375, + "learning_rate": 1.5938715911561596e-07, + "loss": 0.9196, + "step": 40103 + }, + { + "epoch": 0.94, + "grad_norm": 1.5862148806412473, + "learning_rate": 1.592514964284686e-07, + "loss": 0.7155, + "step": 40104 + }, + { + "epoch": 0.94, + "grad_norm": 1.73779241907752, + "learning_rate": 1.5911589103727253e-07, + "loss": 0.899, + "step": 40105 + }, + { + "epoch": 0.94, + "grad_norm": 2.1907894831921793, + "learning_rate": 1.589803429428205e-07, + "loss": 0.8091, + "step": 40106 + }, + { + "epoch": 0.94, + "grad_norm": 0.7849597981865688, + "learning_rate": 1.5884485214590072e-07, + "loss": 0.6861, + "step": 40107 + }, + { + "epoch": 0.94, + "grad_norm": 1.4649436713550772, + "learning_rate": 1.587094186473026e-07, + "loss": 0.8346, + "step": 40108 + }, + { + "epoch": 0.94, + "grad_norm": 1.687977337356906, + "learning_rate": 1.5857404244781326e-07, + "loss": 0.9171, + "step": 40109 + }, + { + "epoch": 0.94, + "grad_norm": 1.6901742557907242, + "learning_rate": 1.5843872354822099e-07, + "loss": 0.8703, + "step": 40110 + }, + { + "epoch": 0.94, + "grad_norm": 1.5084025380740294, + "learning_rate": 1.5830346194931513e-07, + "loss": 0.8202, + "step": 40111 + }, + { + "epoch": 0.95, + "grad_norm": 2.371188223149212, + "learning_rate": 1.5816825765188171e-07, + "loss": 0.8971, + "step": 40112 + }, + { + "epoch": 0.95, + "grad_norm": 0.7636655747744922, + "learning_rate": 1.58033110656709e-07, + "loss": 0.7163, + "step": 40113 + }, + { + "epoch": 0.95, + "grad_norm": 1.718722053745637, + "learning_rate": 1.5789802096458306e-07, + "loss": 0.7665, + "step": 40114 + }, + { + "epoch": 0.95, + "grad_norm": 1.6521989581261793, + "learning_rate": 1.5776298857629103e-07, + "loss": 0.8282, + "step": 40115 + }, + { + "epoch": 0.95, + "grad_norm": 2.151660625788899, + "learning_rate": 1.576280134926189e-07, + "loss": 0.8121, + "step": 40116 + }, + { + "epoch": 0.95, + "grad_norm": 1.503150169473856, + "learning_rate": 1.5749309571435277e-07, + "loss": 0.8734, + "step": 40117 + }, + { + "epoch": 0.95, + "grad_norm": 1.3642161035869091, + "learning_rate": 1.5735823524227755e-07, + "loss": 0.7502, + "step": 40118 + }, + { + "epoch": 0.95, + "grad_norm": 1.9999761068784914, + "learning_rate": 1.5722343207717816e-07, + "loss": 0.812, + "step": 40119 + }, + { + "epoch": 0.95, + "grad_norm": 0.7591018302561141, + "learning_rate": 1.5708868621984175e-07, + "loss": 0.7345, + "step": 40120 + }, + { + "epoch": 0.95, + "grad_norm": 1.4520768199515968, + "learning_rate": 1.569539976710499e-07, + "loss": 0.9266, + "step": 40121 + }, + { + "epoch": 0.95, + "grad_norm": 2.203760716799924, + "learning_rate": 1.5681936643158867e-07, + "loss": 0.8222, + "step": 40122 + }, + { + "epoch": 0.95, + "grad_norm": 1.5217664712134862, + "learning_rate": 1.566847925022408e-07, + "loss": 0.9126, + "step": 40123 + }, + { + "epoch": 0.95, + "grad_norm": 1.4936262087844079, + "learning_rate": 1.5655027588379113e-07, + "loss": 0.7367, + "step": 40124 + }, + { + "epoch": 0.95, + "grad_norm": 1.6385366769772192, + "learning_rate": 1.5641581657702244e-07, + "loss": 0.8443, + "step": 40125 + }, + { + "epoch": 0.95, + "grad_norm": 1.6232648257119173, + "learning_rate": 1.5628141458271628e-07, + "loss": 0.8439, + "step": 40126 + }, + { + "epoch": 0.95, + "grad_norm": 1.7911825826493322, + "learning_rate": 1.561470699016565e-07, + "loss": 0.9296, + "step": 40127 + }, + { + "epoch": 0.95, + "grad_norm": 2.0947600066076095, + "learning_rate": 1.5601278253462582e-07, + "loss": 0.8243, + "step": 40128 + }, + { + "epoch": 0.95, + "grad_norm": 1.6918837013868206, + "learning_rate": 1.558785524824047e-07, + "loss": 0.8765, + "step": 40129 + }, + { + "epoch": 0.95, + "grad_norm": 1.5130036790030776, + "learning_rate": 1.5574437974577473e-07, + "loss": 0.727, + "step": 40130 + }, + { + "epoch": 0.95, + "grad_norm": 1.7060355844967598, + "learning_rate": 1.5561026432551752e-07, + "loss": 0.9529, + "step": 40131 + }, + { + "epoch": 0.95, + "grad_norm": 0.7892029055392737, + "learning_rate": 1.5547620622241467e-07, + "loss": 0.6712, + "step": 40132 + }, + { + "epoch": 0.95, + "grad_norm": 1.518323989383268, + "learning_rate": 1.5534220543724666e-07, + "loss": 0.7476, + "step": 40133 + }, + { + "epoch": 0.95, + "grad_norm": 0.7711356213359765, + "learning_rate": 1.5520826197079176e-07, + "loss": 0.6706, + "step": 40134 + }, + { + "epoch": 0.95, + "grad_norm": 1.5444351216859522, + "learning_rate": 1.5507437582383156e-07, + "loss": 0.8365, + "step": 40135 + }, + { + "epoch": 0.95, + "grad_norm": 1.833215335837641, + "learning_rate": 1.5494054699714545e-07, + "loss": 0.9321, + "step": 40136 + }, + { + "epoch": 0.95, + "grad_norm": 0.7666725834974456, + "learning_rate": 1.548067754915128e-07, + "loss": 0.689, + "step": 40137 + }, + { + "epoch": 0.95, + "grad_norm": 1.695928201136358, + "learning_rate": 1.5467306130771077e-07, + "loss": 0.7773, + "step": 40138 + }, + { + "epoch": 0.95, + "grad_norm": 1.6746037478059883, + "learning_rate": 1.5453940444652092e-07, + "loss": 0.8279, + "step": 40139 + }, + { + "epoch": 0.95, + "grad_norm": 1.5656757925025113, + "learning_rate": 1.5440580490871827e-07, + "loss": 0.8346, + "step": 40140 + }, + { + "epoch": 0.95, + "grad_norm": 1.7318147338926968, + "learning_rate": 1.5427226269508322e-07, + "loss": 0.8609, + "step": 40141 + }, + { + "epoch": 0.95, + "grad_norm": 1.8034692110107715, + "learning_rate": 1.5413877780639076e-07, + "loss": 0.7565, + "step": 40142 + }, + { + "epoch": 0.95, + "grad_norm": 1.5980242953990396, + "learning_rate": 1.5400535024342023e-07, + "loss": 0.8066, + "step": 40143 + }, + { + "epoch": 0.95, + "grad_norm": 1.6330656702448114, + "learning_rate": 1.538719800069477e-07, + "loss": 0.7531, + "step": 40144 + }, + { + "epoch": 0.95, + "grad_norm": 2.120967958680326, + "learning_rate": 1.537386670977503e-07, + "loss": 0.9147, + "step": 40145 + }, + { + "epoch": 0.95, + "grad_norm": 1.5278609550206412, + "learning_rate": 1.5360541151660303e-07, + "loss": 0.9275, + "step": 40146 + }, + { + "epoch": 0.95, + "grad_norm": 4.259062732069086, + "learning_rate": 1.5347221326428187e-07, + "loss": 0.8757, + "step": 40147 + }, + { + "epoch": 0.95, + "grad_norm": 1.8730519785086812, + "learning_rate": 1.5333907234156288e-07, + "loss": 0.8305, + "step": 40148 + }, + { + "epoch": 0.95, + "grad_norm": 1.6268058135190588, + "learning_rate": 1.532059887492221e-07, + "loss": 0.6734, + "step": 40149 + }, + { + "epoch": 0.95, + "grad_norm": 1.5143323535994493, + "learning_rate": 1.530729624880345e-07, + "loss": 0.8741, + "step": 40150 + }, + { + "epoch": 0.95, + "grad_norm": 1.5400880413560893, + "learning_rate": 1.5293999355877164e-07, + "loss": 0.967, + "step": 40151 + }, + { + "epoch": 0.95, + "grad_norm": 1.5986565012019993, + "learning_rate": 1.528070819622096e-07, + "loss": 0.7255, + "step": 40152 + }, + { + "epoch": 0.95, + "grad_norm": 1.719393799273309, + "learning_rate": 1.526742276991222e-07, + "loss": 0.8773, + "step": 40153 + }, + { + "epoch": 0.95, + "grad_norm": 0.736333534319035, + "learning_rate": 1.525414307702855e-07, + "loss": 0.7423, + "step": 40154 + }, + { + "epoch": 0.95, + "grad_norm": 1.5099236396514544, + "learning_rate": 1.5240869117646774e-07, + "loss": 0.7161, + "step": 40155 + }, + { + "epoch": 0.95, + "grad_norm": 4.648286456233155, + "learning_rate": 1.5227600891844495e-07, + "loss": 0.8571, + "step": 40156 + }, + { + "epoch": 0.95, + "grad_norm": 1.6619598992659235, + "learning_rate": 1.521433839969888e-07, + "loss": 0.8715, + "step": 40157 + }, + { + "epoch": 0.95, + "grad_norm": 1.5549809908780658, + "learning_rate": 1.5201081641287196e-07, + "loss": 0.9063, + "step": 40158 + }, + { + "epoch": 0.95, + "grad_norm": 0.8342778012969798, + "learning_rate": 1.5187830616686605e-07, + "loss": 0.6515, + "step": 40159 + }, + { + "epoch": 0.95, + "grad_norm": 0.7825897811874989, + "learning_rate": 1.5174585325974266e-07, + "loss": 0.7052, + "step": 40160 + }, + { + "epoch": 0.95, + "grad_norm": 1.5420694693270622, + "learning_rate": 1.516134576922723e-07, + "loss": 0.8086, + "step": 40161 + }, + { + "epoch": 0.95, + "grad_norm": 0.7307511674545102, + "learning_rate": 1.5148111946522659e-07, + "loss": 0.6457, + "step": 40162 + }, + { + "epoch": 0.95, + "grad_norm": 1.53465306793368, + "learning_rate": 1.51348838579376e-07, + "loss": 0.8351, + "step": 40163 + }, + { + "epoch": 0.95, + "grad_norm": 1.641264868510209, + "learning_rate": 1.51216615035491e-07, + "loss": 0.8612, + "step": 40164 + }, + { + "epoch": 0.95, + "grad_norm": 1.6165497315986972, + "learning_rate": 1.5108444883433994e-07, + "loss": 0.9275, + "step": 40165 + }, + { + "epoch": 0.95, + "grad_norm": 1.7145151586571037, + "learning_rate": 1.5095233997669323e-07, + "loss": 0.8053, + "step": 40166 + }, + { + "epoch": 0.95, + "grad_norm": 1.6826653143624835, + "learning_rate": 1.508202884633203e-07, + "loss": 0.7934, + "step": 40167 + }, + { + "epoch": 0.95, + "grad_norm": 1.7185246080708183, + "learning_rate": 1.5068829429499054e-07, + "loss": 0.8145, + "step": 40168 + }, + { + "epoch": 0.95, + "grad_norm": 1.5493630128684175, + "learning_rate": 1.505563574724711e-07, + "loss": 0.7399, + "step": 40169 + }, + { + "epoch": 0.95, + "grad_norm": 1.951650120111319, + "learning_rate": 1.5042447799653136e-07, + "loss": 0.7465, + "step": 40170 + }, + { + "epoch": 0.95, + "grad_norm": 1.7372261167333525, + "learning_rate": 1.5029265586793851e-07, + "loss": 0.7646, + "step": 40171 + }, + { + "epoch": 0.95, + "grad_norm": 1.6266649970374043, + "learning_rate": 1.501608910874608e-07, + "loss": 0.8171, + "step": 40172 + }, + { + "epoch": 0.95, + "grad_norm": 3.106766876293942, + "learning_rate": 1.5002918365586317e-07, + "loss": 0.8295, + "step": 40173 + }, + { + "epoch": 0.95, + "grad_norm": 1.4069077863578272, + "learning_rate": 1.4989753357391502e-07, + "loss": 0.798, + "step": 40174 + }, + { + "epoch": 0.95, + "grad_norm": 0.7877559406920008, + "learning_rate": 1.4976594084238127e-07, + "loss": 0.6745, + "step": 40175 + }, + { + "epoch": 0.95, + "grad_norm": 1.7586866297128239, + "learning_rate": 1.4963440546203023e-07, + "loss": 0.832, + "step": 40176 + }, + { + "epoch": 0.95, + "grad_norm": 0.7850116463986154, + "learning_rate": 1.495029274336246e-07, + "loss": 0.6798, + "step": 40177 + }, + { + "epoch": 0.95, + "grad_norm": 1.5442290564121417, + "learning_rate": 1.4937150675793266e-07, + "loss": 0.8993, + "step": 40178 + }, + { + "epoch": 0.95, + "grad_norm": 1.4152459911589113, + "learning_rate": 1.4924014343571824e-07, + "loss": 0.7651, + "step": 40179 + }, + { + "epoch": 0.95, + "grad_norm": 1.4748660352507368, + "learning_rate": 1.491088374677463e-07, + "loss": 0.8677, + "step": 40180 + }, + { + "epoch": 0.95, + "grad_norm": 1.6926902270055542, + "learning_rate": 1.4897758885478064e-07, + "loss": 0.77, + "step": 40181 + }, + { + "epoch": 0.95, + "grad_norm": 1.9164778549859565, + "learning_rate": 1.4884639759758735e-07, + "loss": 0.75, + "step": 40182 + }, + { + "epoch": 0.95, + "grad_norm": 1.4700804982840525, + "learning_rate": 1.48715263696928e-07, + "loss": 0.822, + "step": 40183 + }, + { + "epoch": 0.95, + "grad_norm": 1.6864905675822612, + "learning_rate": 1.485841871535687e-07, + "loss": 0.8444, + "step": 40184 + }, + { + "epoch": 0.95, + "grad_norm": 1.3635301920081413, + "learning_rate": 1.4845316796827103e-07, + "loss": 0.8184, + "step": 40185 + }, + { + "epoch": 0.95, + "grad_norm": 1.5562643071128517, + "learning_rate": 1.483222061417966e-07, + "loss": 0.8345, + "step": 40186 + }, + { + "epoch": 0.95, + "grad_norm": 1.6953928679371197, + "learning_rate": 1.4819130167491036e-07, + "loss": 0.8229, + "step": 40187 + }, + { + "epoch": 0.95, + "grad_norm": 0.7535308446157912, + "learning_rate": 1.4806045456837393e-07, + "loss": 0.6935, + "step": 40188 + }, + { + "epoch": 0.95, + "grad_norm": 1.476158601254064, + "learning_rate": 1.479296648229478e-07, + "loss": 0.8119, + "step": 40189 + }, + { + "epoch": 0.95, + "grad_norm": 1.6244663562230024, + "learning_rate": 1.4779893243939358e-07, + "loss": 0.8492, + "step": 40190 + }, + { + "epoch": 0.95, + "grad_norm": 1.511342754452503, + "learning_rate": 1.47668257418474e-07, + "loss": 0.7751, + "step": 40191 + }, + { + "epoch": 0.95, + "grad_norm": 1.6395840702669862, + "learning_rate": 1.4753763976094848e-07, + "loss": 0.7778, + "step": 40192 + }, + { + "epoch": 0.95, + "grad_norm": 2.6582146040480623, + "learning_rate": 1.474070794675797e-07, + "loss": 0.9054, + "step": 40193 + }, + { + "epoch": 0.95, + "grad_norm": 1.5738264606100554, + "learning_rate": 1.4727657653912374e-07, + "loss": 0.8252, + "step": 40194 + }, + { + "epoch": 0.95, + "grad_norm": 2.783124892846059, + "learning_rate": 1.4714613097634445e-07, + "loss": 0.8906, + "step": 40195 + }, + { + "epoch": 0.95, + "grad_norm": 2.247380040950665, + "learning_rate": 1.4701574277999896e-07, + "loss": 0.8737, + "step": 40196 + }, + { + "epoch": 0.95, + "grad_norm": 1.5255776512307753, + "learning_rate": 1.468854119508478e-07, + "loss": 0.9093, + "step": 40197 + }, + { + "epoch": 0.95, + "grad_norm": 1.7409488504767605, + "learning_rate": 1.4675513848964928e-07, + "loss": 0.7792, + "step": 40198 + }, + { + "epoch": 0.95, + "grad_norm": 1.7964087306153158, + "learning_rate": 1.4662492239716164e-07, + "loss": 0.8568, + "step": 40199 + }, + { + "epoch": 0.95, + "grad_norm": 1.4299299129135665, + "learning_rate": 1.4649476367414318e-07, + "loss": 0.9421, + "step": 40200 + }, + { + "epoch": 0.95, + "grad_norm": 1.705396564485718, + "learning_rate": 1.4636466232135217e-07, + "loss": 0.919, + "step": 40201 + }, + { + "epoch": 0.95, + "grad_norm": 1.4297970763753025, + "learning_rate": 1.4623461833954467e-07, + "loss": 0.7034, + "step": 40202 + }, + { + "epoch": 0.95, + "grad_norm": 1.5987517952188335, + "learning_rate": 1.4610463172948008e-07, + "loss": 0.8368, + "step": 40203 + }, + { + "epoch": 0.95, + "grad_norm": 1.7857945923264458, + "learning_rate": 1.4597470249191225e-07, + "loss": 1.0255, + "step": 40204 + }, + { + "epoch": 0.95, + "grad_norm": 1.788029699812321, + "learning_rate": 1.458448306276017e-07, + "loss": 0.8582, + "step": 40205 + }, + { + "epoch": 0.95, + "grad_norm": 1.7416276643019948, + "learning_rate": 1.457150161373011e-07, + "loss": 0.8355, + "step": 40206 + }, + { + "epoch": 0.95, + "grad_norm": 1.5198826259674603, + "learning_rate": 1.455852590217677e-07, + "loss": 0.859, + "step": 40207 + }, + { + "epoch": 0.95, + "grad_norm": 1.8490355901929743, + "learning_rate": 1.4545555928175637e-07, + "loss": 0.9616, + "step": 40208 + }, + { + "epoch": 0.95, + "grad_norm": 1.686748206133242, + "learning_rate": 1.4532591691802323e-07, + "loss": 0.8637, + "step": 40209 + }, + { + "epoch": 0.95, + "grad_norm": 1.6151411828459366, + "learning_rate": 1.451963319313221e-07, + "loss": 0.7957, + "step": 40210 + }, + { + "epoch": 0.95, + "grad_norm": 1.5232456629810434, + "learning_rate": 1.4506680432240794e-07, + "loss": 0.7963, + "step": 40211 + }, + { + "epoch": 0.95, + "grad_norm": 1.534409866387086, + "learning_rate": 1.449373340920346e-07, + "loss": 0.9029, + "step": 40212 + }, + { + "epoch": 0.95, + "grad_norm": 1.6485993432949815, + "learning_rate": 1.4480792124095698e-07, + "loss": 0.7564, + "step": 40213 + }, + { + "epoch": 0.95, + "grad_norm": 1.593912655697192, + "learning_rate": 1.446785657699279e-07, + "loss": 0.8792, + "step": 40214 + }, + { + "epoch": 0.95, + "grad_norm": 1.6381182331194535, + "learning_rate": 1.445492676796989e-07, + "loss": 0.7364, + "step": 40215 + }, + { + "epoch": 0.95, + "grad_norm": 1.568102974515601, + "learning_rate": 1.4442002697102497e-07, + "loss": 0.7727, + "step": 40216 + }, + { + "epoch": 0.95, + "grad_norm": 1.5498560090474747, + "learning_rate": 1.4429084364465885e-07, + "loss": 0.7392, + "step": 40217 + }, + { + "epoch": 0.95, + "grad_norm": 0.8109401712785326, + "learning_rate": 1.44161717701351e-07, + "loss": 0.7039, + "step": 40218 + }, + { + "epoch": 0.95, + "grad_norm": 1.7987525638312085, + "learning_rate": 1.440326491418531e-07, + "loss": 0.8464, + "step": 40219 + }, + { + "epoch": 0.95, + "grad_norm": 1.444155813404087, + "learning_rate": 1.4390363796691897e-07, + "loss": 0.8813, + "step": 40220 + }, + { + "epoch": 0.95, + "grad_norm": 1.6509764787968277, + "learning_rate": 1.437746841772969e-07, + "loss": 0.8527, + "step": 40221 + }, + { + "epoch": 0.95, + "grad_norm": 1.463785085087896, + "learning_rate": 1.4364578777373962e-07, + "loss": 1.0219, + "step": 40222 + }, + { + "epoch": 0.95, + "grad_norm": 1.7771296791930447, + "learning_rate": 1.4351694875699763e-07, + "loss": 0.8976, + "step": 40223 + }, + { + "epoch": 0.95, + "grad_norm": 1.5711972425293321, + "learning_rate": 1.4338816712781921e-07, + "loss": 0.8124, + "step": 40224 + }, + { + "epoch": 0.95, + "grad_norm": 1.8658849845364083, + "learning_rate": 1.4325944288695603e-07, + "loss": 0.7485, + "step": 40225 + }, + { + "epoch": 0.95, + "grad_norm": 1.6689032933122414, + "learning_rate": 1.4313077603515745e-07, + "loss": 0.7497, + "step": 40226 + }, + { + "epoch": 0.95, + "grad_norm": 1.6857608104826993, + "learning_rate": 1.4300216657317178e-07, + "loss": 0.7979, + "step": 40227 + }, + { + "epoch": 0.95, + "grad_norm": 1.7859666728105625, + "learning_rate": 1.4287361450174843e-07, + "loss": 0.821, + "step": 40228 + }, + { + "epoch": 0.95, + "grad_norm": 1.5408129763747405, + "learning_rate": 1.4274511982163454e-07, + "loss": 0.9256, + "step": 40229 + }, + { + "epoch": 0.95, + "grad_norm": 1.6814112372863794, + "learning_rate": 1.4261668253358062e-07, + "loss": 0.8756, + "step": 40230 + }, + { + "epoch": 0.95, + "grad_norm": 1.8652575399672955, + "learning_rate": 1.424883026383328e-07, + "loss": 0.7176, + "step": 40231 + }, + { + "epoch": 0.95, + "grad_norm": 1.8864093071485115, + "learning_rate": 1.423599801366382e-07, + "loss": 0.7442, + "step": 40232 + }, + { + "epoch": 0.95, + "grad_norm": 0.71835497388764, + "learning_rate": 1.4223171502924516e-07, + "loss": 0.6969, + "step": 40233 + }, + { + "epoch": 0.95, + "grad_norm": 1.4598262931699442, + "learning_rate": 1.421035073168997e-07, + "loss": 0.8709, + "step": 40234 + }, + { + "epoch": 0.95, + "grad_norm": 0.7774133019146652, + "learning_rate": 1.4197535700035014e-07, + "loss": 0.6293, + "step": 40235 + }, + { + "epoch": 0.95, + "grad_norm": 1.6918480170724397, + "learning_rate": 1.418472640803392e-07, + "loss": 0.9258, + "step": 40236 + }, + { + "epoch": 0.95, + "grad_norm": 1.9606987665501068, + "learning_rate": 1.417192285576141e-07, + "loss": 0.8803, + "step": 40237 + }, + { + "epoch": 0.95, + "grad_norm": 1.4868130704219085, + "learning_rate": 1.415912504329231e-07, + "loss": 0.8799, + "step": 40238 + }, + { + "epoch": 0.95, + "grad_norm": 1.5504060553996337, + "learning_rate": 1.4146332970700782e-07, + "loss": 0.8042, + "step": 40239 + }, + { + "epoch": 0.95, + "grad_norm": 1.8073011723568504, + "learning_rate": 1.4133546638061323e-07, + "loss": 0.7323, + "step": 40240 + }, + { + "epoch": 0.95, + "grad_norm": 0.844298033946689, + "learning_rate": 1.4120766045448653e-07, + "loss": 0.6801, + "step": 40241 + }, + { + "epoch": 0.95, + "grad_norm": 1.437893241893318, + "learning_rate": 1.4107991192936821e-07, + "loss": 0.8034, + "step": 40242 + }, + { + "epoch": 0.95, + "grad_norm": 1.7639402160007398, + "learning_rate": 1.4095222080600546e-07, + "loss": 0.7928, + "step": 40243 + }, + { + "epoch": 0.95, + "grad_norm": 1.7292209131265532, + "learning_rate": 1.408245870851388e-07, + "loss": 0.8667, + "step": 40244 + }, + { + "epoch": 0.95, + "grad_norm": 1.4685460004092656, + "learning_rate": 1.406970107675143e-07, + "loss": 0.8911, + "step": 40245 + }, + { + "epoch": 0.95, + "grad_norm": 1.6459972178921558, + "learning_rate": 1.4056949185387136e-07, + "loss": 0.8478, + "step": 40246 + }, + { + "epoch": 0.95, + "grad_norm": 1.541840717806876, + "learning_rate": 1.4044203034495497e-07, + "loss": 0.8497, + "step": 40247 + }, + { + "epoch": 0.95, + "grad_norm": 1.5225700768039638, + "learning_rate": 1.4031462624150782e-07, + "loss": 0.7387, + "step": 40248 + }, + { + "epoch": 0.95, + "grad_norm": 1.6286560915910266, + "learning_rate": 1.4018727954426937e-07, + "loss": 0.9035, + "step": 40249 + }, + { + "epoch": 0.95, + "grad_norm": 1.588416451730293, + "learning_rate": 1.4005999025398231e-07, + "loss": 0.9567, + "step": 40250 + }, + { + "epoch": 0.95, + "grad_norm": 1.5526468824944621, + "learning_rate": 1.399327583713872e-07, + "loss": 0.7818, + "step": 40251 + }, + { + "epoch": 0.95, + "grad_norm": 0.7899660831513109, + "learning_rate": 1.3980558389722677e-07, + "loss": 0.6743, + "step": 40252 + }, + { + "epoch": 0.95, + "grad_norm": 1.9786663836742802, + "learning_rate": 1.3967846683223818e-07, + "loss": 0.7446, + "step": 40253 + }, + { + "epoch": 0.95, + "grad_norm": 1.6869226942504596, + "learning_rate": 1.3955140717716308e-07, + "loss": 0.7577, + "step": 40254 + }, + { + "epoch": 0.95, + "grad_norm": 0.7907438386539086, + "learning_rate": 1.3942440493274313e-07, + "loss": 0.735, + "step": 40255 + }, + { + "epoch": 0.95, + "grad_norm": 1.710135564337519, + "learning_rate": 1.3929746009971434e-07, + "loss": 0.8281, + "step": 40256 + }, + { + "epoch": 0.95, + "grad_norm": 1.4525506206449867, + "learning_rate": 1.3917057267881951e-07, + "loss": 0.7792, + "step": 40257 + }, + { + "epoch": 0.95, + "grad_norm": 2.0169922997249174, + "learning_rate": 1.3904374267079356e-07, + "loss": 0.8747, + "step": 40258 + }, + { + "epoch": 0.95, + "grad_norm": 2.1953822314747615, + "learning_rate": 1.3891697007637817e-07, + "loss": 0.8031, + "step": 40259 + }, + { + "epoch": 0.95, + "grad_norm": 1.4949859854574328, + "learning_rate": 1.3879025489630936e-07, + "loss": 0.8241, + "step": 40260 + }, + { + "epoch": 0.95, + "grad_norm": 1.3894056911684385, + "learning_rate": 1.386635971313266e-07, + "loss": 0.7291, + "step": 40261 + }, + { + "epoch": 0.95, + "grad_norm": 1.7245554539424557, + "learning_rate": 1.3853699678216592e-07, + "loss": 0.8617, + "step": 40262 + }, + { + "epoch": 0.95, + "grad_norm": 1.6362094426718028, + "learning_rate": 1.3841045384956453e-07, + "loss": 0.8773, + "step": 40263 + }, + { + "epoch": 0.95, + "grad_norm": 1.4998731908803302, + "learning_rate": 1.3828396833425962e-07, + "loss": 0.6397, + "step": 40264 + }, + { + "epoch": 0.95, + "grad_norm": 5.984773896845459, + "learning_rate": 1.3815754023698834e-07, + "loss": 0.8307, + "step": 40265 + }, + { + "epoch": 0.95, + "grad_norm": 1.664705795309815, + "learning_rate": 1.3803116955848573e-07, + "loss": 0.8269, + "step": 40266 + }, + { + "epoch": 0.95, + "grad_norm": 2.2974364451221527, + "learning_rate": 1.379048562994878e-07, + "loss": 0.8832, + "step": 40267 + }, + { + "epoch": 0.95, + "grad_norm": 1.6138641970067593, + "learning_rate": 1.3777860046072955e-07, + "loss": 0.8352, + "step": 40268 + }, + { + "epoch": 0.95, + "grad_norm": 0.796257556504015, + "learning_rate": 1.3765240204294706e-07, + "loss": 0.7123, + "step": 40269 + }, + { + "epoch": 0.95, + "grad_norm": 2.0370758377962384, + "learning_rate": 1.3752626104687528e-07, + "loss": 0.825, + "step": 40270 + }, + { + "epoch": 0.95, + "grad_norm": 1.57839313259831, + "learning_rate": 1.3740017747324698e-07, + "loss": 0.8027, + "step": 40271 + }, + { + "epoch": 0.95, + "grad_norm": 1.3873974878915978, + "learning_rate": 1.372741513227982e-07, + "loss": 0.7008, + "step": 40272 + }, + { + "epoch": 0.95, + "grad_norm": 1.976262394364212, + "learning_rate": 1.3714818259626173e-07, + "loss": 0.7609, + "step": 40273 + }, + { + "epoch": 0.95, + "grad_norm": 0.7916037171270329, + "learning_rate": 1.3702227129437028e-07, + "loss": 0.6897, + "step": 40274 + }, + { + "epoch": 0.95, + "grad_norm": 1.7609496128511406, + "learning_rate": 1.3689641741785775e-07, + "loss": 0.8155, + "step": 40275 + }, + { + "epoch": 0.95, + "grad_norm": 1.8416346464034827, + "learning_rate": 1.3677062096745686e-07, + "loss": 0.7994, + "step": 40276 + }, + { + "epoch": 0.95, + "grad_norm": 2.139307466866867, + "learning_rate": 1.3664488194390147e-07, + "loss": 0.7875, + "step": 40277 + }, + { + "epoch": 0.95, + "grad_norm": 1.7321138490310457, + "learning_rate": 1.365192003479221e-07, + "loss": 0.7559, + "step": 40278 + }, + { + "epoch": 0.95, + "grad_norm": 1.5694118122302294, + "learning_rate": 1.363935761802493e-07, + "loss": 0.7844, + "step": 40279 + }, + { + "epoch": 0.95, + "grad_norm": 2.2825848775344877, + "learning_rate": 1.362680094416169e-07, + "loss": 0.8645, + "step": 40280 + }, + { + "epoch": 0.95, + "grad_norm": 1.6424469423413404, + "learning_rate": 1.3614250013275433e-07, + "loss": 0.7917, + "step": 40281 + }, + { + "epoch": 0.95, + "grad_norm": 1.6650698921664906, + "learning_rate": 1.3601704825439323e-07, + "loss": 0.8177, + "step": 40282 + }, + { + "epoch": 0.95, + "grad_norm": 0.7727338809442573, + "learning_rate": 1.35891653807263e-07, + "loss": 0.6758, + "step": 40283 + }, + { + "epoch": 0.95, + "grad_norm": 1.5397702448250923, + "learning_rate": 1.357663167920953e-07, + "loss": 0.8233, + "step": 40284 + }, + { + "epoch": 0.95, + "grad_norm": 1.5756025087520549, + "learning_rate": 1.356410372096184e-07, + "loss": 0.7384, + "step": 40285 + }, + { + "epoch": 0.95, + "grad_norm": 1.928000146683634, + "learning_rate": 1.35515815060564e-07, + "loss": 0.8217, + "step": 40286 + }, + { + "epoch": 0.95, + "grad_norm": 1.8507358292792673, + "learning_rate": 1.3539065034565813e-07, + "loss": 0.8029, + "step": 40287 + }, + { + "epoch": 0.95, + "grad_norm": 1.5929861049356548, + "learning_rate": 1.3526554306563134e-07, + "loss": 0.6804, + "step": 40288 + }, + { + "epoch": 0.95, + "grad_norm": 1.5434761006398559, + "learning_rate": 1.351404932212119e-07, + "loss": 0.852, + "step": 40289 + }, + { + "epoch": 0.95, + "grad_norm": 1.7208923501753024, + "learning_rate": 1.3501550081312707e-07, + "loss": 0.8075, + "step": 40290 + }, + { + "epoch": 0.95, + "grad_norm": 1.5428055121592144, + "learning_rate": 1.3489056584210626e-07, + "loss": 0.8144, + "step": 40291 + }, + { + "epoch": 0.95, + "grad_norm": 1.6740171090797977, + "learning_rate": 1.3476568830887439e-07, + "loss": 0.7956, + "step": 40292 + }, + { + "epoch": 0.95, + "grad_norm": 2.054966743714859, + "learning_rate": 1.346408682141609e-07, + "loss": 0.7938, + "step": 40293 + }, + { + "epoch": 0.95, + "grad_norm": 1.5387493370668661, + "learning_rate": 1.345161055586919e-07, + "loss": 0.9951, + "step": 40294 + }, + { + "epoch": 0.95, + "grad_norm": 1.7861381005875785, + "learning_rate": 1.3439140034319342e-07, + "loss": 0.874, + "step": 40295 + }, + { + "epoch": 0.95, + "grad_norm": 0.7467700755817701, + "learning_rate": 1.342667525683905e-07, + "loss": 0.5754, + "step": 40296 + }, + { + "epoch": 0.95, + "grad_norm": 0.7819829948832888, + "learning_rate": 1.3414216223501031e-07, + "loss": 0.7021, + "step": 40297 + }, + { + "epoch": 0.95, + "grad_norm": 1.58324745880892, + "learning_rate": 1.3401762934377894e-07, + "loss": 0.7874, + "step": 40298 + }, + { + "epoch": 0.95, + "grad_norm": 1.5506033867092521, + "learning_rate": 1.3389315389541911e-07, + "loss": 0.8632, + "step": 40299 + }, + { + "epoch": 0.95, + "grad_norm": 1.7933318440472095, + "learning_rate": 1.3376873589065809e-07, + "loss": 0.9585, + "step": 40300 + }, + { + "epoch": 0.95, + "grad_norm": 1.4654803644295165, + "learning_rate": 1.3364437533021856e-07, + "loss": 0.9397, + "step": 40301 + }, + { + "epoch": 0.95, + "grad_norm": 0.738672342005081, + "learning_rate": 1.3352007221482443e-07, + "loss": 0.7149, + "step": 40302 + }, + { + "epoch": 0.95, + "grad_norm": 1.465276217398694, + "learning_rate": 1.3339582654520177e-07, + "loss": 0.83, + "step": 40303 + }, + { + "epoch": 0.95, + "grad_norm": 2.034976937157265, + "learning_rate": 1.3327163832207114e-07, + "loss": 0.7382, + "step": 40304 + }, + { + "epoch": 0.95, + "grad_norm": 2.1260031661151815, + "learning_rate": 1.3314750754615634e-07, + "loss": 0.8993, + "step": 40305 + }, + { + "epoch": 0.95, + "grad_norm": 1.66123816192832, + "learning_rate": 1.330234342181813e-07, + "loss": 0.8193, + "step": 40306 + }, + { + "epoch": 0.95, + "grad_norm": 1.7128436489634047, + "learning_rate": 1.3289941833886767e-07, + "loss": 0.7728, + "step": 40307 + }, + { + "epoch": 0.95, + "grad_norm": 1.5411816718181814, + "learning_rate": 1.3277545990893813e-07, + "loss": 0.7936, + "step": 40308 + }, + { + "epoch": 0.95, + "grad_norm": 1.6560292954250857, + "learning_rate": 1.326515589291122e-07, + "loss": 0.9424, + "step": 40309 + }, + { + "epoch": 0.95, + "grad_norm": 1.813044020961752, + "learning_rate": 1.3252771540011367e-07, + "loss": 0.9536, + "step": 40310 + }, + { + "epoch": 0.95, + "grad_norm": 1.6511404479023764, + "learning_rate": 1.324039293226631e-07, + "loss": 0.8441, + "step": 40311 + }, + { + "epoch": 0.95, + "grad_norm": 1.5411712931001713, + "learning_rate": 1.3228020069748105e-07, + "loss": 0.736, + "step": 40312 + }, + { + "epoch": 0.95, + "grad_norm": 1.9541804407446977, + "learning_rate": 1.321565295252869e-07, + "loss": 0.8384, + "step": 40313 + }, + { + "epoch": 0.95, + "grad_norm": 1.5529457067680035, + "learning_rate": 1.3203291580680122e-07, + "loss": 0.6978, + "step": 40314 + }, + { + "epoch": 0.95, + "grad_norm": 1.6898302926505613, + "learning_rate": 1.3190935954274565e-07, + "loss": 0.7223, + "step": 40315 + }, + { + "epoch": 0.95, + "grad_norm": 1.8027945164395007, + "learning_rate": 1.3178586073383738e-07, + "loss": 0.7968, + "step": 40316 + }, + { + "epoch": 0.95, + "grad_norm": 1.8015750198824072, + "learning_rate": 1.3166241938079472e-07, + "loss": 0.9085, + "step": 40317 + }, + { + "epoch": 0.95, + "grad_norm": 1.6402288269352048, + "learning_rate": 1.3153903548433822e-07, + "loss": 0.93, + "step": 40318 + }, + { + "epoch": 0.95, + "grad_norm": 1.5712056697586516, + "learning_rate": 1.314157090451873e-07, + "loss": 0.7884, + "step": 40319 + }, + { + "epoch": 0.95, + "grad_norm": 1.6089950962242263, + "learning_rate": 1.3129244006405805e-07, + "loss": 0.8346, + "step": 40320 + }, + { + "epoch": 0.95, + "grad_norm": 1.8203535353208633, + "learning_rate": 1.311692285416666e-07, + "loss": 0.8205, + "step": 40321 + }, + { + "epoch": 0.95, + "grad_norm": 1.8829434306216015, + "learning_rate": 1.3104607447873452e-07, + "loss": 0.9585, + "step": 40322 + }, + { + "epoch": 0.95, + "grad_norm": 1.6117056992703824, + "learning_rate": 1.3092297787597576e-07, + "loss": 0.7345, + "step": 40323 + }, + { + "epoch": 0.95, + "grad_norm": 1.5405330181584083, + "learning_rate": 1.3079993873410857e-07, + "loss": 0.7702, + "step": 40324 + }, + { + "epoch": 0.95, + "grad_norm": 1.5685943499160038, + "learning_rate": 1.3067695705384687e-07, + "loss": 0.7818, + "step": 40325 + }, + { + "epoch": 0.95, + "grad_norm": 2.0360462949345113, + "learning_rate": 1.3055403283591006e-07, + "loss": 0.8844, + "step": 40326 + }, + { + "epoch": 0.95, + "grad_norm": 1.9306425841467663, + "learning_rate": 1.3043116608101204e-07, + "loss": 0.8036, + "step": 40327 + }, + { + "epoch": 0.95, + "grad_norm": 1.7352239698911875, + "learning_rate": 1.3030835678986886e-07, + "loss": 0.8141, + "step": 40328 + }, + { + "epoch": 0.95, + "grad_norm": 1.6125870796853123, + "learning_rate": 1.3018560496319443e-07, + "loss": 0.8823, + "step": 40329 + }, + { + "epoch": 0.95, + "grad_norm": 1.576150691315191, + "learning_rate": 1.3006291060170373e-07, + "loss": 0.8616, + "step": 40330 + }, + { + "epoch": 0.95, + "grad_norm": 3.2156191471295403, + "learning_rate": 1.2994027370611173e-07, + "loss": 0.8963, + "step": 40331 + }, + { + "epoch": 0.95, + "grad_norm": 2.084116259677854, + "learning_rate": 1.298176942771323e-07, + "loss": 0.8645, + "step": 40332 + }, + { + "epoch": 0.95, + "grad_norm": 1.794970614804213, + "learning_rate": 1.2969517231548045e-07, + "loss": 0.7938, + "step": 40333 + }, + { + "epoch": 0.95, + "grad_norm": 1.6216629429404925, + "learning_rate": 1.295727078218667e-07, + "loss": 0.8181, + "step": 40334 + }, + { + "epoch": 0.95, + "grad_norm": 1.4266177287106516, + "learning_rate": 1.2945030079700606e-07, + "loss": 0.8932, + "step": 40335 + }, + { + "epoch": 0.95, + "grad_norm": 1.659667256755794, + "learning_rate": 1.2932795124161124e-07, + "loss": 0.8787, + "step": 40336 + }, + { + "epoch": 0.95, + "grad_norm": 1.779079153064469, + "learning_rate": 1.2920565915639395e-07, + "loss": 0.9169, + "step": 40337 + }, + { + "epoch": 0.95, + "grad_norm": 1.6125236013288824, + "learning_rate": 1.290834245420658e-07, + "loss": 0.8533, + "step": 40338 + }, + { + "epoch": 0.95, + "grad_norm": 1.6370455754069075, + "learning_rate": 1.2896124739933846e-07, + "loss": 0.7884, + "step": 40339 + }, + { + "epoch": 0.95, + "grad_norm": 2.3274645231768183, + "learning_rate": 1.288391277289247e-07, + "loss": 0.6816, + "step": 40340 + }, + { + "epoch": 0.95, + "grad_norm": 1.891030451094919, + "learning_rate": 1.2871706553153395e-07, + "loss": 0.8492, + "step": 40341 + }, + { + "epoch": 0.95, + "grad_norm": 1.7408951093750835, + "learning_rate": 1.2859506080787898e-07, + "loss": 0.8997, + "step": 40342 + }, + { + "epoch": 0.95, + "grad_norm": 1.7084319168590165, + "learning_rate": 1.284731135586681e-07, + "loss": 0.8341, + "step": 40343 + }, + { + "epoch": 0.95, + "grad_norm": 1.7244417042318783, + "learning_rate": 1.2835122378461186e-07, + "loss": 0.8817, + "step": 40344 + }, + { + "epoch": 0.95, + "grad_norm": 1.3720274295757495, + "learning_rate": 1.2822939148641967e-07, + "loss": 0.8361, + "step": 40345 + }, + { + "epoch": 0.95, + "grad_norm": 1.7142217124408081, + "learning_rate": 1.2810761666480321e-07, + "loss": 0.7748, + "step": 40346 + }, + { + "epoch": 0.95, + "grad_norm": 4.351721506182192, + "learning_rate": 1.2798589932046856e-07, + "loss": 0.7696, + "step": 40347 + }, + { + "epoch": 0.95, + "grad_norm": 1.816884427457722, + "learning_rate": 1.2786423945412407e-07, + "loss": 0.7562, + "step": 40348 + }, + { + "epoch": 0.95, + "grad_norm": 1.6695434597478855, + "learning_rate": 1.2774263706648027e-07, + "loss": 0.8251, + "step": 40349 + }, + { + "epoch": 0.95, + "grad_norm": 1.739588142451531, + "learning_rate": 1.2762109215824547e-07, + "loss": 0.9089, + "step": 40350 + }, + { + "epoch": 0.95, + "grad_norm": 1.4700560306223167, + "learning_rate": 1.274996047301258e-07, + "loss": 0.7708, + "step": 40351 + }, + { + "epoch": 0.95, + "grad_norm": 1.5053776280907516, + "learning_rate": 1.2737817478282845e-07, + "loss": 0.7661, + "step": 40352 + }, + { + "epoch": 0.95, + "grad_norm": 1.623514422987008, + "learning_rate": 1.2725680231706061e-07, + "loss": 0.8193, + "step": 40353 + }, + { + "epoch": 0.95, + "grad_norm": 1.4910319788632822, + "learning_rate": 1.2713548733352955e-07, + "loss": 0.8167, + "step": 40354 + }, + { + "epoch": 0.95, + "grad_norm": 1.487681810444338, + "learning_rate": 1.2701422983294243e-07, + "loss": 0.8262, + "step": 40355 + }, + { + "epoch": 0.95, + "grad_norm": 2.393587023676831, + "learning_rate": 1.2689302981600316e-07, + "loss": 0.8097, + "step": 40356 + }, + { + "epoch": 0.95, + "grad_norm": 2.1360987506040154, + "learning_rate": 1.2677188728341895e-07, + "loss": 0.6956, + "step": 40357 + }, + { + "epoch": 0.95, + "grad_norm": 1.4884286077385327, + "learning_rate": 1.2665080223589366e-07, + "loss": 0.9591, + "step": 40358 + }, + { + "epoch": 0.95, + "grad_norm": 1.3525312549360555, + "learning_rate": 1.2652977467413453e-07, + "loss": 0.7187, + "step": 40359 + }, + { + "epoch": 0.95, + "grad_norm": 1.5953404513335983, + "learning_rate": 1.264088045988443e-07, + "loss": 0.8087, + "step": 40360 + }, + { + "epoch": 0.95, + "grad_norm": 0.745128259312513, + "learning_rate": 1.26287892010728e-07, + "loss": 0.677, + "step": 40361 + }, + { + "epoch": 0.95, + "grad_norm": 1.73053436827289, + "learning_rate": 1.2616703691048947e-07, + "loss": 0.8402, + "step": 40362 + }, + { + "epoch": 0.95, + "grad_norm": 1.5409043699342964, + "learning_rate": 1.2604623929883265e-07, + "loss": 0.7413, + "step": 40363 + }, + { + "epoch": 0.95, + "grad_norm": 1.7666419670842994, + "learning_rate": 1.2592549917646136e-07, + "loss": 0.7992, + "step": 40364 + }, + { + "epoch": 0.95, + "grad_norm": 1.8120092073223726, + "learning_rate": 1.2580481654407616e-07, + "loss": 0.9348, + "step": 40365 + }, + { + "epoch": 0.95, + "grad_norm": 1.6815182080934863, + "learning_rate": 1.2568419140238208e-07, + "loss": 0.8334, + "step": 40366 + }, + { + "epoch": 0.95, + "grad_norm": 1.5716045998116883, + "learning_rate": 1.2556362375208186e-07, + "loss": 0.7742, + "step": 40367 + }, + { + "epoch": 0.95, + "grad_norm": 1.750268878664168, + "learning_rate": 1.2544311359387606e-07, + "loss": 0.7644, + "step": 40368 + }, + { + "epoch": 0.95, + "grad_norm": 1.6621014663693603, + "learning_rate": 1.2532266092846524e-07, + "loss": 0.7387, + "step": 40369 + }, + { + "epoch": 0.95, + "grad_norm": 1.638964655258957, + "learning_rate": 1.2520226575655325e-07, + "loss": 0.7558, + "step": 40370 + }, + { + "epoch": 0.95, + "grad_norm": 1.7507378107051026, + "learning_rate": 1.2508192807883956e-07, + "loss": 0.9018, + "step": 40371 + }, + { + "epoch": 0.95, + "grad_norm": 0.8162374493067062, + "learning_rate": 1.2496164789602583e-07, + "loss": 0.7162, + "step": 40372 + }, + { + "epoch": 0.95, + "grad_norm": 1.5619234363543062, + "learning_rate": 1.248414252088115e-07, + "loss": 0.7813, + "step": 40373 + }, + { + "epoch": 0.95, + "grad_norm": 1.6621895817780137, + "learning_rate": 1.2472126001789708e-07, + "loss": 0.8781, + "step": 40374 + }, + { + "epoch": 0.95, + "grad_norm": 1.4996559306005681, + "learning_rate": 1.2460115232398207e-07, + "loss": 0.7713, + "step": 40375 + }, + { + "epoch": 0.95, + "grad_norm": 1.6726562608129116, + "learning_rate": 1.2448110212776477e-07, + "loss": 0.8172, + "step": 40376 + }, + { + "epoch": 0.95, + "grad_norm": 1.48579156849211, + "learning_rate": 1.2436110942994573e-07, + "loss": 0.7676, + "step": 40377 + }, + { + "epoch": 0.95, + "grad_norm": 1.7291286958955172, + "learning_rate": 1.242411742312233e-07, + "loss": 0.7219, + "step": 40378 + }, + { + "epoch": 0.95, + "grad_norm": 1.61871919594594, + "learning_rate": 1.2412129653229355e-07, + "loss": 0.6848, + "step": 40379 + }, + { + "epoch": 0.95, + "grad_norm": 1.5093106600839996, + "learning_rate": 1.2400147633385817e-07, + "loss": 0.8165, + "step": 40380 + }, + { + "epoch": 0.95, + "grad_norm": 1.7012503179508696, + "learning_rate": 1.2388171363661216e-07, + "loss": 0.8453, + "step": 40381 + }, + { + "epoch": 0.95, + "grad_norm": 1.650250081526725, + "learning_rate": 1.2376200844125387e-07, + "loss": 0.8705, + "step": 40382 + }, + { + "epoch": 0.95, + "grad_norm": 1.6074845656242207, + "learning_rate": 1.2364236074847934e-07, + "loss": 0.8775, + "step": 40383 + }, + { + "epoch": 0.95, + "grad_norm": 1.7018078419243565, + "learning_rate": 1.2352277055898587e-07, + "loss": 0.8055, + "step": 40384 + }, + { + "epoch": 0.95, + "grad_norm": 1.5911264786659942, + "learning_rate": 1.2340323787347064e-07, + "loss": 0.8295, + "step": 40385 + }, + { + "epoch": 0.95, + "grad_norm": 1.5146982178587138, + "learning_rate": 1.2328376269262754e-07, + "loss": 0.7687, + "step": 40386 + }, + { + "epoch": 0.95, + "grad_norm": 1.6368624230730997, + "learning_rate": 1.231643450171527e-07, + "loss": 0.7126, + "step": 40387 + }, + { + "epoch": 0.95, + "grad_norm": 1.4748308067810472, + "learning_rate": 1.2304498484774329e-07, + "loss": 0.8515, + "step": 40388 + }, + { + "epoch": 0.95, + "grad_norm": 1.6316457176474348, + "learning_rate": 1.2292568218509325e-07, + "loss": 0.9353, + "step": 40389 + }, + { + "epoch": 0.95, + "grad_norm": 1.8687512758080806, + "learning_rate": 1.2280643702989647e-07, + "loss": 0.7782, + "step": 40390 + }, + { + "epoch": 0.95, + "grad_norm": 1.67806120900042, + "learning_rate": 1.2268724938284682e-07, + "loss": 0.8741, + "step": 40391 + }, + { + "epoch": 0.95, + "grad_norm": 1.6772351178354283, + "learning_rate": 1.225681192446404e-07, + "loss": 0.8026, + "step": 40392 + }, + { + "epoch": 0.95, + "grad_norm": 1.4813314604049892, + "learning_rate": 1.224490466159689e-07, + "loss": 0.7645, + "step": 40393 + }, + { + "epoch": 0.95, + "grad_norm": 1.6989017476224733, + "learning_rate": 1.223300314975262e-07, + "loss": 0.914, + "step": 40394 + }, + { + "epoch": 0.95, + "grad_norm": 1.539077339669637, + "learning_rate": 1.2221107389000508e-07, + "loss": 0.8259, + "step": 40395 + }, + { + "epoch": 0.95, + "grad_norm": 1.6921868352340268, + "learning_rate": 1.2209217379409834e-07, + "loss": 0.8412, + "step": 40396 + }, + { + "epoch": 0.95, + "grad_norm": 1.5656947878702092, + "learning_rate": 1.219733312104987e-07, + "loss": 0.7417, + "step": 40397 + }, + { + "epoch": 0.95, + "grad_norm": 1.8509678646253909, + "learning_rate": 1.2185454613989678e-07, + "loss": 0.8317, + "step": 40398 + }, + { + "epoch": 0.95, + "grad_norm": 0.7567693201287293, + "learning_rate": 1.2173581858298644e-07, + "loss": 0.6616, + "step": 40399 + }, + { + "epoch": 0.95, + "grad_norm": 1.6077597620821482, + "learning_rate": 1.2161714854045713e-07, + "loss": 0.9155, + "step": 40400 + }, + { + "epoch": 0.95, + "grad_norm": 1.717458360240078, + "learning_rate": 1.2149853601299945e-07, + "loss": 0.9155, + "step": 40401 + }, + { + "epoch": 0.95, + "grad_norm": 1.9000347727968967, + "learning_rate": 1.21379981001305e-07, + "loss": 0.9269, + "step": 40402 + }, + { + "epoch": 0.95, + "grad_norm": 1.9075195069638458, + "learning_rate": 1.2126148350606438e-07, + "loss": 0.7407, + "step": 40403 + }, + { + "epoch": 0.95, + "grad_norm": 1.6443855031946593, + "learning_rate": 1.2114304352796703e-07, + "loss": 0.7227, + "step": 40404 + }, + { + "epoch": 0.95, + "grad_norm": 2.207043773928909, + "learning_rate": 1.210246610677024e-07, + "loss": 0.8917, + "step": 40405 + }, + { + "epoch": 0.95, + "grad_norm": 1.4806875533729558, + "learning_rate": 1.2090633612595881e-07, + "loss": 0.8444, + "step": 40406 + }, + { + "epoch": 0.95, + "grad_norm": 1.771405171487588, + "learning_rate": 1.2078806870342684e-07, + "loss": 0.7743, + "step": 40407 + }, + { + "epoch": 0.95, + "grad_norm": 0.7596528535873264, + "learning_rate": 1.2066985880079484e-07, + "loss": 0.7401, + "step": 40408 + }, + { + "epoch": 0.95, + "grad_norm": 1.6701525302832414, + "learning_rate": 1.2055170641875003e-07, + "loss": 0.7305, + "step": 40409 + }, + { + "epoch": 0.95, + "grad_norm": 1.658359385009155, + "learning_rate": 1.2043361155798184e-07, + "loss": 0.7495, + "step": 40410 + }, + { + "epoch": 0.95, + "grad_norm": 1.6617789473057984, + "learning_rate": 1.2031557421917639e-07, + "loss": 0.885, + "step": 40411 + }, + { + "epoch": 0.95, + "grad_norm": 1.8380444272261252, + "learning_rate": 1.2019759440302093e-07, + "loss": 0.8576, + "step": 40412 + }, + { + "epoch": 0.95, + "grad_norm": 1.7333285567475911, + "learning_rate": 1.2007967211020378e-07, + "loss": 0.8306, + "step": 40413 + }, + { + "epoch": 0.95, + "grad_norm": 1.9209875875256768, + "learning_rate": 1.1996180734141104e-07, + "loss": 0.8221, + "step": 40414 + }, + { + "epoch": 0.95, + "grad_norm": 1.7992531450543108, + "learning_rate": 1.1984400009732776e-07, + "loss": 0.9671, + "step": 40415 + }, + { + "epoch": 0.95, + "grad_norm": 2.2845782677948216, + "learning_rate": 1.1972625037864117e-07, + "loss": 0.7356, + "step": 40416 + }, + { + "epoch": 0.95, + "grad_norm": 1.864376023121889, + "learning_rate": 1.1960855818603624e-07, + "loss": 0.7685, + "step": 40417 + }, + { + "epoch": 0.95, + "grad_norm": 0.8054350941404943, + "learning_rate": 1.194909235201991e-07, + "loss": 0.707, + "step": 40418 + }, + { + "epoch": 0.95, + "grad_norm": 1.5840113106133968, + "learning_rate": 1.1937334638181252e-07, + "loss": 0.7827, + "step": 40419 + }, + { + "epoch": 0.95, + "grad_norm": 1.5801296931909312, + "learning_rate": 1.1925582677156268e-07, + "loss": 0.9252, + "step": 40420 + }, + { + "epoch": 0.95, + "grad_norm": 1.5901559140209924, + "learning_rate": 1.1913836469013451e-07, + "loss": 0.8811, + "step": 40421 + }, + { + "epoch": 0.95, + "grad_norm": 1.5736447319293918, + "learning_rate": 1.1902096013821085e-07, + "loss": 0.8281, + "step": 40422 + }, + { + "epoch": 0.95, + "grad_norm": 1.686619094236789, + "learning_rate": 1.1890361311647558e-07, + "loss": 0.9103, + "step": 40423 + }, + { + "epoch": 0.95, + "grad_norm": 1.6191161680912516, + "learning_rate": 1.1878632362561149e-07, + "loss": 0.8145, + "step": 40424 + }, + { + "epoch": 0.95, + "grad_norm": 1.632527459683214, + "learning_rate": 1.1866909166630136e-07, + "loss": 0.8584, + "step": 40425 + }, + { + "epoch": 0.95, + "grad_norm": 1.5284135292078744, + "learning_rate": 1.185519172392291e-07, + "loss": 0.9483, + "step": 40426 + }, + { + "epoch": 0.95, + "grad_norm": 1.6990436195142242, + "learning_rate": 1.1843480034507415e-07, + "loss": 0.9348, + "step": 40427 + }, + { + "epoch": 0.95, + "grad_norm": 1.640313130564672, + "learning_rate": 1.1831774098452153e-07, + "loss": 0.7726, + "step": 40428 + }, + { + "epoch": 0.95, + "grad_norm": 1.5998213721989778, + "learning_rate": 1.1820073915825181e-07, + "loss": 0.9585, + "step": 40429 + }, + { + "epoch": 0.95, + "grad_norm": 1.476848171599736, + "learning_rate": 1.1808379486694444e-07, + "loss": 0.8555, + "step": 40430 + }, + { + "epoch": 0.95, + "grad_norm": 1.7207443653383854, + "learning_rate": 1.1796690811128442e-07, + "loss": 0.7899, + "step": 40431 + }, + { + "epoch": 0.95, + "grad_norm": 1.7538747676127127, + "learning_rate": 1.1785007889194788e-07, + "loss": 0.7665, + "step": 40432 + }, + { + "epoch": 0.95, + "grad_norm": 1.9276162834095012, + "learning_rate": 1.1773330720961652e-07, + "loss": 0.8798, + "step": 40433 + }, + { + "epoch": 0.95, + "grad_norm": 1.5718963075266295, + "learning_rate": 1.1761659306497086e-07, + "loss": 0.8475, + "step": 40434 + }, + { + "epoch": 0.95, + "grad_norm": 1.691398372429449, + "learning_rate": 1.1749993645869151e-07, + "loss": 0.8548, + "step": 40435 + }, + { + "epoch": 0.95, + "grad_norm": 1.7233687254565657, + "learning_rate": 1.1738333739145457e-07, + "loss": 0.7751, + "step": 40436 + }, + { + "epoch": 0.95, + "grad_norm": 0.8069903508247944, + "learning_rate": 1.1726679586394064e-07, + "loss": 0.6506, + "step": 40437 + }, + { + "epoch": 0.95, + "grad_norm": 2.0743467230194548, + "learning_rate": 1.1715031187682912e-07, + "loss": 0.7208, + "step": 40438 + }, + { + "epoch": 0.95, + "grad_norm": 0.7836167260934152, + "learning_rate": 1.1703388543079619e-07, + "loss": 0.7334, + "step": 40439 + }, + { + "epoch": 0.95, + "grad_norm": 1.7595214350835213, + "learning_rate": 1.169175165265224e-07, + "loss": 0.8035, + "step": 40440 + }, + { + "epoch": 0.95, + "grad_norm": 0.7804003502716259, + "learning_rate": 1.1680120516468274e-07, + "loss": 0.7076, + "step": 40441 + }, + { + "epoch": 0.95, + "grad_norm": 1.62718917758102, + "learning_rate": 1.1668495134595558e-07, + "loss": 0.7366, + "step": 40442 + }, + { + "epoch": 0.95, + "grad_norm": 1.6159140699207233, + "learning_rate": 1.1656875507101706e-07, + "loss": 0.7213, + "step": 40443 + }, + { + "epoch": 0.95, + "grad_norm": 1.5216511466571236, + "learning_rate": 1.164526163405455e-07, + "loss": 0.8951, + "step": 40444 + }, + { + "epoch": 0.95, + "grad_norm": 1.5021123274670332, + "learning_rate": 1.1633653515521593e-07, + "loss": 0.8441, + "step": 40445 + }, + { + "epoch": 0.95, + "grad_norm": 0.784951640330543, + "learning_rate": 1.1622051151570335e-07, + "loss": 0.7892, + "step": 40446 + }, + { + "epoch": 0.95, + "grad_norm": 0.7679811630884197, + "learning_rate": 1.161045454226839e-07, + "loss": 0.7175, + "step": 40447 + }, + { + "epoch": 0.95, + "grad_norm": 1.662615011141436, + "learning_rate": 1.1598863687683371e-07, + "loss": 0.8015, + "step": 40448 + }, + { + "epoch": 0.95, + "grad_norm": 1.736332986207895, + "learning_rate": 1.1587278587882667e-07, + "loss": 0.8612, + "step": 40449 + }, + { + "epoch": 0.95, + "grad_norm": 1.5761109773939896, + "learning_rate": 1.157569924293367e-07, + "loss": 0.719, + "step": 40450 + }, + { + "epoch": 0.95, + "grad_norm": 0.756985614188928, + "learning_rate": 1.156412565290399e-07, + "loss": 0.774, + "step": 40451 + }, + { + "epoch": 0.95, + "grad_norm": 1.4724847696665677, + "learning_rate": 1.155255781786091e-07, + "loss": 0.8038, + "step": 40452 + }, + { + "epoch": 0.95, + "grad_norm": 2.0526494375029753, + "learning_rate": 1.1540995737871708e-07, + "loss": 0.835, + "step": 40453 + }, + { + "epoch": 0.95, + "grad_norm": 1.5684502929595663, + "learning_rate": 1.1529439413003773e-07, + "loss": 0.7096, + "step": 40454 + }, + { + "epoch": 0.95, + "grad_norm": 0.770221218198924, + "learning_rate": 1.1517888843324387e-07, + "loss": 0.6863, + "step": 40455 + }, + { + "epoch": 0.95, + "grad_norm": 1.9440827768292126, + "learning_rate": 1.1506344028900829e-07, + "loss": 0.877, + "step": 40456 + }, + { + "epoch": 0.95, + "grad_norm": 1.6864025893433015, + "learning_rate": 1.1494804969800377e-07, + "loss": 0.877, + "step": 40457 + }, + { + "epoch": 0.95, + "grad_norm": 1.6933631013861685, + "learning_rate": 1.148327166608998e-07, + "loss": 0.7982, + "step": 40458 + }, + { + "epoch": 0.95, + "grad_norm": 1.5303221081406237, + "learning_rate": 1.1471744117837024e-07, + "loss": 0.7971, + "step": 40459 + }, + { + "epoch": 0.95, + "grad_norm": 1.5287688476149934, + "learning_rate": 1.1460222325108461e-07, + "loss": 0.869, + "step": 40460 + }, + { + "epoch": 0.95, + "grad_norm": 1.6462235955522293, + "learning_rate": 1.1448706287971567e-07, + "loss": 0.6569, + "step": 40461 + }, + { + "epoch": 0.95, + "grad_norm": 1.6236777009985885, + "learning_rate": 1.1437196006493179e-07, + "loss": 0.8666, + "step": 40462 + }, + { + "epoch": 0.95, + "grad_norm": 1.6598153171836405, + "learning_rate": 1.1425691480740353e-07, + "loss": 0.8983, + "step": 40463 + }, + { + "epoch": 0.95, + "grad_norm": 1.4323508745882811, + "learning_rate": 1.1414192710780259e-07, + "loss": 0.7564, + "step": 40464 + }, + { + "epoch": 0.95, + "grad_norm": 1.7459833537742748, + "learning_rate": 1.140269969667962e-07, + "loss": 0.7187, + "step": 40465 + }, + { + "epoch": 0.95, + "grad_norm": 1.3405101913288324, + "learning_rate": 1.1391212438505605e-07, + "loss": 0.7483, + "step": 40466 + }, + { + "epoch": 0.95, + "grad_norm": 1.6209571274168018, + "learning_rate": 1.1379730936324717e-07, + "loss": 0.8551, + "step": 40467 + }, + { + "epoch": 0.95, + "grad_norm": 2.664560478767157, + "learning_rate": 1.1368255190204125e-07, + "loss": 0.7942, + "step": 40468 + }, + { + "epoch": 0.95, + "grad_norm": 1.5228890836233813, + "learning_rate": 1.1356785200210552e-07, + "loss": 0.6747, + "step": 40469 + }, + { + "epoch": 0.95, + "grad_norm": 1.5754990373936615, + "learning_rate": 1.1345320966410833e-07, + "loss": 0.8177, + "step": 40470 + }, + { + "epoch": 0.95, + "grad_norm": 1.6550430511677383, + "learning_rate": 1.1333862488871583e-07, + "loss": 0.8204, + "step": 40471 + }, + { + "epoch": 0.95, + "grad_norm": 1.5899484799294317, + "learning_rate": 1.1322409767659526e-07, + "loss": 0.8435, + "step": 40472 + }, + { + "epoch": 0.95, + "grad_norm": 0.7656317020910246, + "learning_rate": 1.1310962802841607e-07, + "loss": 0.7033, + "step": 40473 + }, + { + "epoch": 0.95, + "grad_norm": 2.1212134998839214, + "learning_rate": 1.129952159448422e-07, + "loss": 0.7797, + "step": 40474 + }, + { + "epoch": 0.95, + "grad_norm": 1.5251203631957417, + "learning_rate": 1.1288086142653865e-07, + "loss": 0.7962, + "step": 40475 + }, + { + "epoch": 0.95, + "grad_norm": 1.5705397613661425, + "learning_rate": 1.1276656447417378e-07, + "loss": 0.8203, + "step": 40476 + }, + { + "epoch": 0.95, + "grad_norm": 1.8907881113573441, + "learning_rate": 1.1265232508841262e-07, + "loss": 0.7326, + "step": 40477 + }, + { + "epoch": 0.95, + "grad_norm": 1.702286472515828, + "learning_rate": 1.1253814326992019e-07, + "loss": 0.8873, + "step": 40478 + }, + { + "epoch": 0.95, + "grad_norm": 1.5691733959695933, + "learning_rate": 1.124240190193604e-07, + "loss": 0.7941, + "step": 40479 + }, + { + "epoch": 0.95, + "grad_norm": 1.7511417329263395, + "learning_rate": 1.1230995233739939e-07, + "loss": 0.9311, + "step": 40480 + }, + { + "epoch": 0.95, + "grad_norm": 1.6014863687031502, + "learning_rate": 1.1219594322469885e-07, + "loss": 0.8299, + "step": 40481 + }, + { + "epoch": 0.95, + "grad_norm": 1.556165622213003, + "learning_rate": 1.1208199168192491e-07, + "loss": 0.7745, + "step": 40482 + }, + { + "epoch": 0.95, + "grad_norm": 1.6734154341593714, + "learning_rate": 1.1196809770973926e-07, + "loss": 0.7817, + "step": 40483 + }, + { + "epoch": 0.95, + "grad_norm": 1.5058859621090028, + "learning_rate": 1.1185426130880694e-07, + "loss": 0.8877, + "step": 40484 + }, + { + "epoch": 0.95, + "grad_norm": 0.7139075048267576, + "learning_rate": 1.1174048247978852e-07, + "loss": 0.6397, + "step": 40485 + }, + { + "epoch": 0.95, + "grad_norm": 1.5721994076395398, + "learning_rate": 1.1162676122334793e-07, + "loss": 0.8321, + "step": 40486 + }, + { + "epoch": 0.95, + "grad_norm": 1.7980796969446542, + "learning_rate": 1.1151309754014683e-07, + "loss": 0.8497, + "step": 40487 + }, + { + "epoch": 0.95, + "grad_norm": 1.632862039976945, + "learning_rate": 1.1139949143084804e-07, + "loss": 0.7505, + "step": 40488 + }, + { + "epoch": 0.95, + "grad_norm": 1.7214177501260586, + "learning_rate": 1.1128594289611105e-07, + "loss": 0.8946, + "step": 40489 + }, + { + "epoch": 0.95, + "grad_norm": 1.9742106397442005, + "learning_rate": 1.1117245193659864e-07, + "loss": 0.8155, + "step": 40490 + }, + { + "epoch": 0.95, + "grad_norm": 1.6472489126611727, + "learning_rate": 1.110590185529703e-07, + "loss": 0.9181, + "step": 40491 + }, + { + "epoch": 0.95, + "grad_norm": 0.7815643305542098, + "learning_rate": 1.109456427458877e-07, + "loss": 0.6833, + "step": 40492 + }, + { + "epoch": 0.95, + "grad_norm": 1.7615990589483432, + "learning_rate": 1.1083232451600922e-07, + "loss": 0.8831, + "step": 40493 + }, + { + "epoch": 0.95, + "grad_norm": 1.8129378725495666, + "learning_rate": 1.1071906386399767e-07, + "loss": 0.9294, + "step": 40494 + }, + { + "epoch": 0.95, + "grad_norm": 1.7507567417476797, + "learning_rate": 1.1060586079050917e-07, + "loss": 0.9272, + "step": 40495 + }, + { + "epoch": 0.95, + "grad_norm": 1.4822969288182755, + "learning_rate": 1.1049271529620542e-07, + "loss": 0.8807, + "step": 40496 + }, + { + "epoch": 0.95, + "grad_norm": 1.4760723115775884, + "learning_rate": 1.1037962738174257e-07, + "loss": 0.8184, + "step": 40497 + }, + { + "epoch": 0.95, + "grad_norm": 0.7404901977680959, + "learning_rate": 1.102665970477823e-07, + "loss": 0.694, + "step": 40498 + }, + { + "epoch": 0.95, + "grad_norm": 1.4752601029903951, + "learning_rate": 1.1015362429497967e-07, + "loss": 0.7707, + "step": 40499 + }, + { + "epoch": 0.95, + "grad_norm": 1.6178908806880183, + "learning_rate": 1.1004070912399411e-07, + "loss": 0.8432, + "step": 40500 + }, + { + "epoch": 0.95, + "grad_norm": 1.6527402342727064, + "learning_rate": 1.099278515354829e-07, + "loss": 0.8154, + "step": 40501 + }, + { + "epoch": 0.95, + "grad_norm": 1.5027771081694554, + "learning_rate": 1.0981505153010218e-07, + "loss": 0.8747, + "step": 40502 + }, + { + "epoch": 0.95, + "grad_norm": 1.5248872031216913, + "learning_rate": 1.0970230910851031e-07, + "loss": 0.9512, + "step": 40503 + }, + { + "epoch": 0.95, + "grad_norm": 1.7235604364204464, + "learning_rate": 1.0958962427136232e-07, + "loss": 0.867, + "step": 40504 + }, + { + "epoch": 0.95, + "grad_norm": 1.642865246061573, + "learning_rate": 1.0947699701931436e-07, + "loss": 0.77, + "step": 40505 + }, + { + "epoch": 0.95, + "grad_norm": 1.5850261847887246, + "learning_rate": 1.0936442735302255e-07, + "loss": 0.7606, + "step": 40506 + }, + { + "epoch": 0.95, + "grad_norm": 1.8520679911822848, + "learning_rate": 1.0925191527314416e-07, + "loss": 0.7803, + "step": 40507 + }, + { + "epoch": 0.95, + "grad_norm": 1.7560844330193024, + "learning_rate": 1.0913946078033089e-07, + "loss": 0.8935, + "step": 40508 + }, + { + "epoch": 0.95, + "grad_norm": 1.5608138205889361, + "learning_rate": 1.0902706387523887e-07, + "loss": 0.9634, + "step": 40509 + }, + { + "epoch": 0.95, + "grad_norm": 1.519073048852936, + "learning_rate": 1.0891472455852315e-07, + "loss": 0.8882, + "step": 40510 + }, + { + "epoch": 0.95, + "grad_norm": 1.8521155238369793, + "learning_rate": 1.0880244283083762e-07, + "loss": 0.8343, + "step": 40511 + }, + { + "epoch": 0.95, + "grad_norm": 1.630164009599729, + "learning_rate": 1.0869021869283625e-07, + "loss": 0.7829, + "step": 40512 + }, + { + "epoch": 0.95, + "grad_norm": 1.6303691376489853, + "learning_rate": 1.085780521451707e-07, + "loss": 0.7646, + "step": 40513 + }, + { + "epoch": 0.95, + "grad_norm": 1.811364112499563, + "learning_rate": 1.0846594318849602e-07, + "loss": 0.7546, + "step": 40514 + }, + { + "epoch": 0.95, + "grad_norm": 1.696169916008361, + "learning_rate": 1.0835389182346389e-07, + "loss": 0.8601, + "step": 40515 + }, + { + "epoch": 0.95, + "grad_norm": 1.526262576810265, + "learning_rate": 1.0824189805072827e-07, + "loss": 0.8414, + "step": 40516 + }, + { + "epoch": 0.95, + "grad_norm": 0.8311752453990683, + "learning_rate": 1.081299618709386e-07, + "loss": 0.7027, + "step": 40517 + }, + { + "epoch": 0.95, + "grad_norm": 1.6959137107003104, + "learning_rate": 1.0801808328474772e-07, + "loss": 0.8299, + "step": 40518 + }, + { + "epoch": 0.95, + "grad_norm": 1.5619092893651259, + "learning_rate": 1.0790626229280842e-07, + "loss": 0.7899, + "step": 40519 + }, + { + "epoch": 0.95, + "grad_norm": 1.7662731256814928, + "learning_rate": 1.077944988957702e-07, + "loss": 0.8403, + "step": 40520 + }, + { + "epoch": 0.95, + "grad_norm": 1.6921703865978401, + "learning_rate": 1.0768279309428365e-07, + "loss": 0.745, + "step": 40521 + }, + { + "epoch": 0.95, + "grad_norm": 1.5351856697290163, + "learning_rate": 1.0757114488900156e-07, + "loss": 0.7556, + "step": 40522 + }, + { + "epoch": 0.95, + "grad_norm": 1.625718155759782, + "learning_rate": 1.0745955428057009e-07, + "loss": 0.8138, + "step": 40523 + }, + { + "epoch": 0.95, + "grad_norm": 0.7771835919198478, + "learning_rate": 1.0734802126964206e-07, + "loss": 0.7527, + "step": 40524 + }, + { + "epoch": 0.95, + "grad_norm": 1.6169402761478913, + "learning_rate": 1.0723654585686582e-07, + "loss": 0.8167, + "step": 40525 + }, + { + "epoch": 0.95, + "grad_norm": 1.5103089183888456, + "learning_rate": 1.0712512804288977e-07, + "loss": 0.8202, + "step": 40526 + }, + { + "epoch": 0.95, + "grad_norm": 1.7212255995816979, + "learning_rate": 1.0701376782836337e-07, + "loss": 0.8191, + "step": 40527 + }, + { + "epoch": 0.95, + "grad_norm": 1.8185244139721182, + "learning_rate": 1.0690246521393499e-07, + "loss": 0.7849, + "step": 40528 + }, + { + "epoch": 0.95, + "grad_norm": 1.5539278666667633, + "learning_rate": 1.0679122020025301e-07, + "loss": 0.9197, + "step": 40529 + }, + { + "epoch": 0.95, + "grad_norm": 1.7035802110455007, + "learning_rate": 1.0668003278796468e-07, + "loss": 0.8564, + "step": 40530 + }, + { + "epoch": 0.95, + "grad_norm": 1.6748694479282868, + "learning_rate": 1.0656890297771727e-07, + "loss": 0.8065, + "step": 40531 + }, + { + "epoch": 0.95, + "grad_norm": 1.5339953450393107, + "learning_rate": 1.0645783077015692e-07, + "loss": 0.786, + "step": 40532 + }, + { + "epoch": 0.95, + "grad_norm": 0.7370682737405699, + "learning_rate": 1.0634681616593312e-07, + "loss": 0.6777, + "step": 40533 + }, + { + "epoch": 0.95, + "grad_norm": 0.7923242496671301, + "learning_rate": 1.0623585916568979e-07, + "loss": 0.7198, + "step": 40534 + }, + { + "epoch": 0.95, + "grad_norm": 1.7804162894544255, + "learning_rate": 1.0612495977007197e-07, + "loss": 0.8387, + "step": 40535 + }, + { + "epoch": 0.95, + "grad_norm": 1.488457372438401, + "learning_rate": 1.0601411797972804e-07, + "loss": 0.8682, + "step": 40536 + }, + { + "epoch": 0.96, + "grad_norm": 1.6166598172053972, + "learning_rate": 1.0590333379530304e-07, + "loss": 0.8168, + "step": 40537 + }, + { + "epoch": 0.96, + "grad_norm": 1.7829214434025629, + "learning_rate": 1.0579260721744089e-07, + "loss": 0.7894, + "step": 40538 + }, + { + "epoch": 0.96, + "grad_norm": 1.8649279852382359, + "learning_rate": 1.0568193824678663e-07, + "loss": 0.8523, + "step": 40539 + }, + { + "epoch": 0.96, + "grad_norm": 1.7104926845488753, + "learning_rate": 1.055713268839853e-07, + "loss": 0.753, + "step": 40540 + }, + { + "epoch": 0.96, + "grad_norm": 2.647085964079751, + "learning_rate": 1.0546077312967862e-07, + "loss": 0.8165, + "step": 40541 + }, + { + "epoch": 0.96, + "grad_norm": 1.7836301034918618, + "learning_rate": 1.0535027698451272e-07, + "loss": 0.7987, + "step": 40542 + }, + { + "epoch": 0.96, + "grad_norm": 1.8024278647653047, + "learning_rate": 1.0523983844913043e-07, + "loss": 0.7614, + "step": 40543 + }, + { + "epoch": 0.96, + "grad_norm": 1.8953725061711786, + "learning_rate": 1.0512945752417347e-07, + "loss": 0.9043, + "step": 40544 + }, + { + "epoch": 0.96, + "grad_norm": 1.7973558376815408, + "learning_rate": 1.0501913421028575e-07, + "loss": 0.9481, + "step": 40545 + }, + { + "epoch": 0.96, + "grad_norm": 1.678212903361801, + "learning_rate": 1.049088685081101e-07, + "loss": 0.8034, + "step": 40546 + }, + { + "epoch": 0.96, + "grad_norm": 1.5430033471281839, + "learning_rate": 1.0479866041828824e-07, + "loss": 0.81, + "step": 40547 + }, + { + "epoch": 0.96, + "grad_norm": 0.7639846745377534, + "learning_rate": 1.0468850994145962e-07, + "loss": 0.762, + "step": 40548 + }, + { + "epoch": 0.96, + "grad_norm": 1.576186067581241, + "learning_rate": 1.0457841707826822e-07, + "loss": 0.8094, + "step": 40549 + }, + { + "epoch": 0.96, + "grad_norm": 1.715028331815283, + "learning_rate": 1.0446838182935349e-07, + "loss": 0.7752, + "step": 40550 + }, + { + "epoch": 0.96, + "grad_norm": 2.4640491096691415, + "learning_rate": 1.0435840419535826e-07, + "loss": 0.7841, + "step": 40551 + }, + { + "epoch": 0.96, + "grad_norm": 2.0003835149563516, + "learning_rate": 1.042484841769198e-07, + "loss": 0.8862, + "step": 40552 + }, + { + "epoch": 0.96, + "grad_norm": 1.9203607728107122, + "learning_rate": 1.0413862177467982e-07, + "loss": 0.9134, + "step": 40553 + }, + { + "epoch": 0.96, + "grad_norm": 1.7828685763236833, + "learning_rate": 1.040288169892778e-07, + "loss": 0.8254, + "step": 40554 + }, + { + "epoch": 0.96, + "grad_norm": 1.8539077422656063, + "learning_rate": 1.0391906982135324e-07, + "loss": 0.6898, + "step": 40555 + }, + { + "epoch": 0.96, + "grad_norm": 1.8601782082841152, + "learning_rate": 1.0380938027154452e-07, + "loss": 0.8369, + "step": 40556 + }, + { + "epoch": 0.96, + "grad_norm": 1.3822008195843902, + "learning_rate": 1.0369974834049112e-07, + "loss": 0.8009, + "step": 40557 + }, + { + "epoch": 0.96, + "grad_norm": 1.6322088920443112, + "learning_rate": 1.0359017402883143e-07, + "loss": 0.8057, + "step": 40558 + }, + { + "epoch": 0.96, + "grad_norm": 1.5246600249167341, + "learning_rate": 1.0348065733720269e-07, + "loss": 0.7211, + "step": 40559 + }, + { + "epoch": 0.96, + "grad_norm": 1.579411044127634, + "learning_rate": 1.0337119826624109e-07, + "loss": 0.8164, + "step": 40560 + }, + { + "epoch": 0.96, + "grad_norm": 1.4562378216081582, + "learning_rate": 1.0326179681658721e-07, + "loss": 0.8428, + "step": 40561 + }, + { + "epoch": 0.96, + "grad_norm": 1.5173075099762223, + "learning_rate": 1.031524529888761e-07, + "loss": 0.8075, + "step": 40562 + }, + { + "epoch": 0.96, + "grad_norm": 1.5105223813084439, + "learning_rate": 1.0304316678374504e-07, + "loss": 0.8245, + "step": 40563 + }, + { + "epoch": 0.96, + "grad_norm": 1.5797119202896448, + "learning_rate": 1.0293393820182907e-07, + "loss": 0.8238, + "step": 40564 + }, + { + "epoch": 0.96, + "grad_norm": 2.4798045310268693, + "learning_rate": 1.0282476724376544e-07, + "loss": 0.8215, + "step": 40565 + }, + { + "epoch": 0.96, + "grad_norm": 1.561360131971744, + "learning_rate": 1.0271565391018922e-07, + "loss": 0.8735, + "step": 40566 + }, + { + "epoch": 0.96, + "grad_norm": 1.4459278864629963, + "learning_rate": 1.0260659820173658e-07, + "loss": 0.8644, + "step": 40567 + }, + { + "epoch": 0.96, + "grad_norm": 1.4754511137799589, + "learning_rate": 1.0249760011904253e-07, + "loss": 0.7707, + "step": 40568 + }, + { + "epoch": 0.96, + "grad_norm": 3.2493422414694972, + "learning_rate": 1.0238865966273881e-07, + "loss": 0.9004, + "step": 40569 + }, + { + "epoch": 0.96, + "grad_norm": 1.7771508356803576, + "learning_rate": 1.0227977683346268e-07, + "loss": 0.8851, + "step": 40570 + }, + { + "epoch": 0.96, + "grad_norm": 1.5320815358263042, + "learning_rate": 1.021709516318481e-07, + "loss": 0.8362, + "step": 40571 + }, + { + "epoch": 0.96, + "grad_norm": 1.4284419707491471, + "learning_rate": 1.0206218405852786e-07, + "loss": 0.7442, + "step": 40572 + }, + { + "epoch": 0.96, + "grad_norm": 1.5143186378598785, + "learning_rate": 1.019534741141337e-07, + "loss": 0.8852, + "step": 40573 + }, + { + "epoch": 0.96, + "grad_norm": 1.5418069267960088, + "learning_rate": 1.0184482179930066e-07, + "loss": 0.7038, + "step": 40574 + }, + { + "epoch": 0.96, + "grad_norm": 2.0415693075643206, + "learning_rate": 1.0173622711466157e-07, + "loss": 0.7556, + "step": 40575 + }, + { + "epoch": 0.96, + "grad_norm": 1.5700386060040747, + "learning_rate": 1.0162769006084705e-07, + "loss": 0.8483, + "step": 40576 + }, + { + "epoch": 0.96, + "grad_norm": 1.6756952751803385, + "learning_rate": 1.0151921063848991e-07, + "loss": 0.8862, + "step": 40577 + }, + { + "epoch": 0.96, + "grad_norm": 1.8314753561785004, + "learning_rate": 1.0141078884822187e-07, + "loss": 0.7967, + "step": 40578 + }, + { + "epoch": 0.96, + "grad_norm": 1.4727393715289339, + "learning_rate": 1.0130242469067464e-07, + "loss": 0.8797, + "step": 40579 + }, + { + "epoch": 0.96, + "grad_norm": 1.6423765295431674, + "learning_rate": 1.0119411816647884e-07, + "loss": 0.8369, + "step": 40580 + }, + { + "epoch": 0.96, + "grad_norm": 1.3595396165414766, + "learning_rate": 1.0108586927626285e-07, + "loss": 0.694, + "step": 40581 + }, + { + "epoch": 0.96, + "grad_norm": 1.264471432733326, + "learning_rate": 1.009776780206606e-07, + "loss": 0.677, + "step": 40582 + }, + { + "epoch": 0.96, + "grad_norm": 1.902211970244713, + "learning_rate": 1.008695444002994e-07, + "loss": 0.9014, + "step": 40583 + }, + { + "epoch": 0.96, + "grad_norm": 2.0150386359884824, + "learning_rate": 1.0076146841581091e-07, + "loss": 0.9123, + "step": 40584 + }, + { + "epoch": 0.96, + "grad_norm": 1.5684537354069434, + "learning_rate": 1.0065345006782246e-07, + "loss": 0.8233, + "step": 40585 + }, + { + "epoch": 0.96, + "grad_norm": 1.4094260536386405, + "learning_rate": 1.0054548935696351e-07, + "loss": 0.8957, + "step": 40586 + }, + { + "epoch": 0.96, + "grad_norm": 1.4831290833759387, + "learning_rate": 1.0043758628386247e-07, + "loss": 0.8216, + "step": 40587 + }, + { + "epoch": 0.96, + "grad_norm": 1.9138707584322876, + "learning_rate": 1.0032974084914882e-07, + "loss": 0.714, + "step": 40588 + }, + { + "epoch": 0.96, + "grad_norm": 1.7275536039673325, + "learning_rate": 1.0022195305344984e-07, + "loss": 0.6845, + "step": 40589 + }, + { + "epoch": 0.96, + "grad_norm": 0.7661802416918537, + "learning_rate": 1.0011422289739169e-07, + "loss": 0.6872, + "step": 40590 + }, + { + "epoch": 0.96, + "grad_norm": 1.5805901539836014, + "learning_rate": 1.0000655038160278e-07, + "loss": 0.8721, + "step": 40591 + }, + { + "epoch": 0.96, + "grad_norm": 1.7175315908092696, + "learning_rate": 9.989893550671148e-08, + "loss": 0.848, + "step": 40592 + }, + { + "epoch": 0.96, + "grad_norm": 1.5817153418594712, + "learning_rate": 9.979137827334173e-08, + "loss": 0.8471, + "step": 40593 + }, + { + "epoch": 0.96, + "grad_norm": 1.5594375132398814, + "learning_rate": 9.968387868212192e-08, + "loss": 0.8438, + "step": 40594 + }, + { + "epoch": 0.96, + "grad_norm": 1.5572437391765577, + "learning_rate": 9.95764367336749e-08, + "loss": 0.8126, + "step": 40595 + }, + { + "epoch": 0.96, + "grad_norm": 1.6261852758894262, + "learning_rate": 9.946905242863014e-08, + "loss": 0.7615, + "step": 40596 + }, + { + "epoch": 0.96, + "grad_norm": 1.897492176120007, + "learning_rate": 9.93617257676116e-08, + "loss": 0.6878, + "step": 40597 + }, + { + "epoch": 0.96, + "grad_norm": 1.7170690123586068, + "learning_rate": 9.925445675124212e-08, + "loss": 0.7835, + "step": 40598 + }, + { + "epoch": 0.96, + "grad_norm": 1.5559890379985382, + "learning_rate": 9.914724538014787e-08, + "loss": 0.8989, + "step": 40599 + }, + { + "epoch": 0.96, + "grad_norm": 2.3439818659720175, + "learning_rate": 9.904009165495276e-08, + "loss": 0.822, + "step": 40600 + }, + { + "epoch": 0.96, + "grad_norm": 1.845789196893733, + "learning_rate": 9.893299557628188e-08, + "loss": 0.8081, + "step": 40601 + }, + { + "epoch": 0.96, + "grad_norm": 1.6463374677966633, + "learning_rate": 9.882595714475696e-08, + "loss": 0.8164, + "step": 40602 + }, + { + "epoch": 0.96, + "grad_norm": 1.6299508053213814, + "learning_rate": 9.871897636100191e-08, + "loss": 0.8024, + "step": 40603 + }, + { + "epoch": 0.96, + "grad_norm": 1.5771531135420378, + "learning_rate": 9.86120532256396e-08, + "loss": 0.7631, + "step": 40604 + }, + { + "epoch": 0.96, + "grad_norm": 1.8923946215132867, + "learning_rate": 9.850518773929286e-08, + "loss": 0.7937, + "step": 40605 + }, + { + "epoch": 0.96, + "grad_norm": 1.7297316296405285, + "learning_rate": 9.839837990258338e-08, + "loss": 0.7445, + "step": 40606 + }, + { + "epoch": 0.96, + "grad_norm": 1.7560011224005536, + "learning_rate": 9.829162971613405e-08, + "loss": 0.7811, + "step": 40607 + }, + { + "epoch": 0.96, + "grad_norm": 1.5604361692277509, + "learning_rate": 9.818493718056543e-08, + "loss": 0.8752, + "step": 40608 + }, + { + "epoch": 0.96, + "grad_norm": 1.6784446489606815, + "learning_rate": 9.807830229649929e-08, + "loss": 0.7752, + "step": 40609 + }, + { + "epoch": 0.96, + "grad_norm": 1.5305556033623107, + "learning_rate": 9.79717250645551e-08, + "loss": 0.8433, + "step": 40610 + }, + { + "epoch": 0.96, + "grad_norm": 1.3710935493225238, + "learning_rate": 9.78652054853546e-08, + "loss": 0.8392, + "step": 40611 + }, + { + "epoch": 0.96, + "grad_norm": 1.6141881458054435, + "learning_rate": 9.775874355951842e-08, + "loss": 0.7752, + "step": 40612 + }, + { + "epoch": 0.96, + "grad_norm": 1.5448548568078315, + "learning_rate": 9.765233928766493e-08, + "loss": 0.9718, + "step": 40613 + }, + { + "epoch": 0.96, + "grad_norm": 1.6399998033488417, + "learning_rate": 9.754599267041697e-08, + "loss": 0.7339, + "step": 40614 + }, + { + "epoch": 0.96, + "grad_norm": 1.5183131153451774, + "learning_rate": 9.743970370838963e-08, + "loss": 0.9053, + "step": 40615 + }, + { + "epoch": 0.96, + "grad_norm": 1.497544551047514, + "learning_rate": 9.733347240220237e-08, + "loss": 0.9322, + "step": 40616 + }, + { + "epoch": 0.96, + "grad_norm": 1.852439246334656, + "learning_rate": 9.722729875247694e-08, + "loss": 0.8165, + "step": 40617 + }, + { + "epoch": 0.96, + "grad_norm": 1.6144394148250338, + "learning_rate": 9.71211827598284e-08, + "loss": 0.9979, + "step": 40618 + }, + { + "epoch": 0.96, + "grad_norm": 1.6011097798240317, + "learning_rate": 9.701512442487515e-08, + "loss": 0.7442, + "step": 40619 + }, + { + "epoch": 0.96, + "grad_norm": 1.6500795570812992, + "learning_rate": 9.690912374823446e-08, + "loss": 0.8824, + "step": 40620 + }, + { + "epoch": 0.96, + "grad_norm": 1.5519330172893309, + "learning_rate": 9.680318073052474e-08, + "loss": 0.9003, + "step": 40621 + }, + { + "epoch": 0.96, + "grad_norm": 1.4813989090268616, + "learning_rate": 9.669729537236327e-08, + "loss": 0.6919, + "step": 40622 + }, + { + "epoch": 0.96, + "grad_norm": 0.7805249301005127, + "learning_rate": 9.6591467674364e-08, + "loss": 0.7148, + "step": 40623 + }, + { + "epoch": 0.96, + "grad_norm": 1.6377347314170279, + "learning_rate": 9.648569763714532e-08, + "loss": 0.7261, + "step": 40624 + }, + { + "epoch": 0.96, + "grad_norm": 2.0647635157485262, + "learning_rate": 9.637998526132231e-08, + "loss": 0.8414, + "step": 40625 + }, + { + "epoch": 0.96, + "grad_norm": 1.6039792346181898, + "learning_rate": 9.627433054751001e-08, + "loss": 0.993, + "step": 40626 + }, + { + "epoch": 0.96, + "grad_norm": 1.4439714425343073, + "learning_rate": 9.616873349632461e-08, + "loss": 0.9017, + "step": 40627 + }, + { + "epoch": 0.96, + "grad_norm": 1.5255617297494724, + "learning_rate": 9.606319410838006e-08, + "loss": 0.8725, + "step": 40628 + }, + { + "epoch": 0.96, + "grad_norm": 1.483672268924914, + "learning_rate": 9.595771238429142e-08, + "loss": 0.7734, + "step": 40629 + }, + { + "epoch": 0.96, + "grad_norm": 1.671798313767153, + "learning_rate": 9.585228832467153e-08, + "loss": 0.7592, + "step": 40630 + }, + { + "epoch": 0.96, + "grad_norm": 1.4554925972126895, + "learning_rate": 9.574692193013769e-08, + "loss": 0.7754, + "step": 40631 + }, + { + "epoch": 0.96, + "grad_norm": 1.545596992598292, + "learning_rate": 9.564161320129828e-08, + "loss": 0.8339, + "step": 40632 + }, + { + "epoch": 0.96, + "grad_norm": 0.7580805691606656, + "learning_rate": 9.553636213876949e-08, + "loss": 0.717, + "step": 40633 + }, + { + "epoch": 0.96, + "grad_norm": 1.5474839253760189, + "learning_rate": 9.543116874316416e-08, + "loss": 0.8465, + "step": 40634 + }, + { + "epoch": 0.96, + "grad_norm": 1.8148598734267571, + "learning_rate": 9.532603301509514e-08, + "loss": 0.8431, + "step": 40635 + }, + { + "epoch": 0.96, + "grad_norm": 0.7731484138703991, + "learning_rate": 9.522095495517303e-08, + "loss": 0.6569, + "step": 40636 + }, + { + "epoch": 0.96, + "grad_norm": 1.4530020837950406, + "learning_rate": 9.511593456400958e-08, + "loss": 0.7916, + "step": 40637 + }, + { + "epoch": 0.96, + "grad_norm": 1.7328681607000043, + "learning_rate": 9.501097184221763e-08, + "loss": 0.8926, + "step": 40638 + }, + { + "epoch": 0.96, + "grad_norm": 0.7701208950330063, + "learning_rate": 9.490606679040782e-08, + "loss": 0.6718, + "step": 40639 + }, + { + "epoch": 0.96, + "grad_norm": 0.7824091361532287, + "learning_rate": 9.480121940919074e-08, + "loss": 0.7137, + "step": 40640 + }, + { + "epoch": 0.96, + "grad_norm": 0.7200542465268941, + "learning_rate": 9.469642969917592e-08, + "loss": 0.6684, + "step": 40641 + }, + { + "epoch": 0.96, + "grad_norm": 1.9333616324803697, + "learning_rate": 9.45916976609762e-08, + "loss": 0.8332, + "step": 40642 + }, + { + "epoch": 0.96, + "grad_norm": 0.7483348506499939, + "learning_rate": 9.448702329519777e-08, + "loss": 0.6625, + "step": 40643 + }, + { + "epoch": 0.96, + "grad_norm": 1.655904388615971, + "learning_rate": 9.438240660245346e-08, + "loss": 0.9743, + "step": 40644 + }, + { + "epoch": 0.96, + "grad_norm": 1.483705896738853, + "learning_rate": 9.427784758335056e-08, + "loss": 0.8954, + "step": 40645 + }, + { + "epoch": 0.96, + "grad_norm": 1.7351505799821616, + "learning_rate": 9.41733462384975e-08, + "loss": 0.8195, + "step": 40646 + }, + { + "epoch": 0.96, + "grad_norm": 1.8644077929224288, + "learning_rate": 9.406890256850376e-08, + "loss": 0.9264, + "step": 40647 + }, + { + "epoch": 0.96, + "grad_norm": 1.633897102660517, + "learning_rate": 9.396451657397666e-08, + "loss": 0.8577, + "step": 40648 + }, + { + "epoch": 0.96, + "grad_norm": 1.7646269676246107, + "learning_rate": 9.386018825552568e-08, + "loss": 0.8632, + "step": 40649 + }, + { + "epoch": 0.96, + "grad_norm": 0.7481254826654479, + "learning_rate": 9.37559176137548e-08, + "loss": 0.7014, + "step": 40650 + }, + { + "epoch": 0.96, + "grad_norm": 1.5554449874329428, + "learning_rate": 9.365170464927464e-08, + "loss": 0.8356, + "step": 40651 + }, + { + "epoch": 0.96, + "grad_norm": 1.5632241478757165, + "learning_rate": 9.354754936269029e-08, + "loss": 0.9675, + "step": 40652 + }, + { + "epoch": 0.96, + "grad_norm": 1.4841827885352759, + "learning_rate": 9.344345175460901e-08, + "loss": 0.9357, + "step": 40653 + }, + { + "epoch": 0.96, + "grad_norm": 1.8172670615740991, + "learning_rate": 9.333941182563477e-08, + "loss": 0.8228, + "step": 40654 + }, + { + "epoch": 0.96, + "grad_norm": 1.6613052086401048, + "learning_rate": 9.323542957637599e-08, + "loss": 0.7803, + "step": 40655 + }, + { + "epoch": 0.96, + "grad_norm": 1.6967237265780897, + "learning_rate": 9.313150500743661e-08, + "loss": 0.8067, + "step": 40656 + }, + { + "epoch": 0.96, + "grad_norm": 1.5025836283660172, + "learning_rate": 9.302763811942283e-08, + "loss": 0.868, + "step": 40657 + }, + { + "epoch": 0.96, + "grad_norm": 1.6741388458967592, + "learning_rate": 9.29238289129375e-08, + "loss": 0.7864, + "step": 40658 + }, + { + "epoch": 0.96, + "grad_norm": 2.875165074718047, + "learning_rate": 9.282007738858679e-08, + "loss": 0.9086, + "step": 40659 + }, + { + "epoch": 0.96, + "grad_norm": 1.6511599763118776, + "learning_rate": 9.271638354697354e-08, + "loss": 0.8146, + "step": 40660 + }, + { + "epoch": 0.96, + "grad_norm": 2.0370382856199476, + "learning_rate": 9.261274738870286e-08, + "loss": 0.8142, + "step": 40661 + }, + { + "epoch": 0.96, + "grad_norm": 1.5109276406122167, + "learning_rate": 9.250916891437756e-08, + "loss": 0.7841, + "step": 40662 + }, + { + "epoch": 0.96, + "grad_norm": 1.7736404357220867, + "learning_rate": 9.24056481245994e-08, + "loss": 0.7836, + "step": 40663 + }, + { + "epoch": 0.96, + "grad_norm": 1.4000215608113882, + "learning_rate": 9.230218501997346e-08, + "loss": 0.7431, + "step": 40664 + }, + { + "epoch": 0.96, + "grad_norm": 1.6900024522900337, + "learning_rate": 9.219877960110036e-08, + "loss": 0.7717, + "step": 40665 + }, + { + "epoch": 0.96, + "grad_norm": 1.7682802758172986, + "learning_rate": 9.209543186858294e-08, + "loss": 0.6862, + "step": 40666 + }, + { + "epoch": 0.96, + "grad_norm": 1.5752180566257252, + "learning_rate": 9.199214182302186e-08, + "loss": 0.6967, + "step": 40667 + }, + { + "epoch": 0.96, + "grad_norm": 1.5169842532960196, + "learning_rate": 9.188890946501993e-08, + "loss": 0.8607, + "step": 40668 + }, + { + "epoch": 0.96, + "grad_norm": 1.5229392887252227, + "learning_rate": 9.178573479517783e-08, + "loss": 0.8006, + "step": 40669 + }, + { + "epoch": 0.96, + "grad_norm": 1.947507295120373, + "learning_rate": 9.168261781409726e-08, + "loss": 0.8647, + "step": 40670 + }, + { + "epoch": 0.96, + "grad_norm": 1.6628163077347553, + "learning_rate": 9.157955852237554e-08, + "loss": 0.8123, + "step": 40671 + }, + { + "epoch": 0.96, + "grad_norm": 1.708594563185539, + "learning_rate": 9.147655692061442e-08, + "loss": 0.8949, + "step": 40672 + }, + { + "epoch": 0.96, + "grad_norm": 1.6746747211501218, + "learning_rate": 9.13736130094145e-08, + "loss": 0.8777, + "step": 40673 + }, + { + "epoch": 0.96, + "grad_norm": 2.194571510635171, + "learning_rate": 9.127072678937532e-08, + "loss": 0.7055, + "step": 40674 + }, + { + "epoch": 0.96, + "grad_norm": 1.7081533942529488, + "learning_rate": 9.116789826109417e-08, + "loss": 0.879, + "step": 40675 + }, + { + "epoch": 0.96, + "grad_norm": 1.5787115810530545, + "learning_rate": 9.106512742516948e-08, + "loss": 0.8964, + "step": 40676 + }, + { + "epoch": 0.96, + "grad_norm": 0.7658439269132062, + "learning_rate": 9.096241428220299e-08, + "loss": 0.7244, + "step": 40677 + }, + { + "epoch": 0.96, + "grad_norm": 1.6266622980695928, + "learning_rate": 9.085975883278864e-08, + "loss": 0.8001, + "step": 40678 + }, + { + "epoch": 0.96, + "grad_norm": 1.5542353262176567, + "learning_rate": 9.075716107752708e-08, + "loss": 0.7194, + "step": 40679 + }, + { + "epoch": 0.96, + "grad_norm": 0.7703748885500692, + "learning_rate": 9.065462101701339e-08, + "loss": 0.7148, + "step": 40680 + }, + { + "epoch": 0.96, + "grad_norm": 1.7649492243687712, + "learning_rate": 9.055213865184708e-08, + "loss": 0.7946, + "step": 40681 + }, + { + "epoch": 0.96, + "grad_norm": 1.6341235778671555, + "learning_rate": 9.044971398262325e-08, + "loss": 0.7564, + "step": 40682 + }, + { + "epoch": 0.96, + "grad_norm": 1.50234599280441, + "learning_rate": 9.034734700993696e-08, + "loss": 0.7879, + "step": 40683 + }, + { + "epoch": 0.96, + "grad_norm": 1.540087234715628, + "learning_rate": 9.024503773438776e-08, + "loss": 0.8424, + "step": 40684 + }, + { + "epoch": 0.96, + "grad_norm": 1.6983443300802277, + "learning_rate": 9.014278615656735e-08, + "loss": 0.8231, + "step": 40685 + }, + { + "epoch": 0.96, + "grad_norm": 1.7455432372571125, + "learning_rate": 9.004059227707528e-08, + "loss": 0.7351, + "step": 40686 + }, + { + "epoch": 0.96, + "grad_norm": 1.7256198899213584, + "learning_rate": 8.99384560965022e-08, + "loss": 0.8922, + "step": 40687 + }, + { + "epoch": 0.96, + "grad_norm": 1.562747691999976, + "learning_rate": 8.98363776154465e-08, + "loss": 0.7688, + "step": 40688 + }, + { + "epoch": 0.96, + "grad_norm": 1.7373577393637012, + "learning_rate": 8.973435683449994e-08, + "loss": 0.8927, + "step": 40689 + }, + { + "epoch": 0.96, + "grad_norm": 1.465419377893086, + "learning_rate": 8.96323937542587e-08, + "loss": 0.8375, + "step": 40690 + }, + { + "epoch": 0.96, + "grad_norm": 1.9284093600060115, + "learning_rate": 8.953048837531453e-08, + "loss": 0.6869, + "step": 40691 + }, + { + "epoch": 0.96, + "grad_norm": 1.4249928807817136, + "learning_rate": 8.94286406982603e-08, + "loss": 0.7791, + "step": 40692 + }, + { + "epoch": 0.96, + "grad_norm": 1.5816175743579, + "learning_rate": 8.932685072369107e-08, + "loss": 0.9119, + "step": 40693 + }, + { + "epoch": 0.96, + "grad_norm": 1.6072879561621074, + "learning_rate": 8.922511845219972e-08, + "loss": 0.7943, + "step": 40694 + }, + { + "epoch": 0.96, + "grad_norm": 1.5268810288261843, + "learning_rate": 8.912344388437577e-08, + "loss": 0.8166, + "step": 40695 + }, + { + "epoch": 0.96, + "grad_norm": 2.011482454225133, + "learning_rate": 8.902182702081318e-08, + "loss": 0.821, + "step": 40696 + }, + { + "epoch": 0.96, + "grad_norm": 1.665076781832182, + "learning_rate": 8.892026786210372e-08, + "loss": 0.7242, + "step": 40697 + }, + { + "epoch": 0.96, + "grad_norm": 2.912990662712854, + "learning_rate": 8.881876640883802e-08, + "loss": 0.8255, + "step": 40698 + }, + { + "epoch": 0.96, + "grad_norm": 1.755619467053956, + "learning_rate": 8.871732266160782e-08, + "loss": 0.8345, + "step": 40699 + }, + { + "epoch": 0.96, + "grad_norm": 1.5758647256409852, + "learning_rate": 8.861593662100265e-08, + "loss": 0.8623, + "step": 40700 + }, + { + "epoch": 0.96, + "grad_norm": 1.5694207797850084, + "learning_rate": 8.851460828761316e-08, + "loss": 0.7452, + "step": 40701 + }, + { + "epoch": 0.96, + "grad_norm": 1.7980905122934532, + "learning_rate": 8.841333766202997e-08, + "loss": 0.8341, + "step": 40702 + }, + { + "epoch": 0.96, + "grad_norm": 1.5949817891672085, + "learning_rate": 8.831212474484263e-08, + "loss": 0.6525, + "step": 40703 + }, + { + "epoch": 0.96, + "grad_norm": 1.8984335846851979, + "learning_rate": 8.821096953663955e-08, + "loss": 0.8941, + "step": 40704 + }, + { + "epoch": 0.96, + "grad_norm": 1.6769351392651612, + "learning_rate": 8.810987203801136e-08, + "loss": 0.7899, + "step": 40705 + }, + { + "epoch": 0.96, + "grad_norm": 1.5591553394314686, + "learning_rate": 8.800883224954315e-08, + "loss": 0.8248, + "step": 40706 + }, + { + "epoch": 0.96, + "grad_norm": 1.7065676000254175, + "learning_rate": 8.790785017182779e-08, + "loss": 0.8512, + "step": 40707 + }, + { + "epoch": 0.96, + "grad_norm": 1.6617152334756626, + "learning_rate": 8.780692580545036e-08, + "loss": 0.7931, + "step": 40708 + }, + { + "epoch": 0.96, + "grad_norm": 1.5448209382823026, + "learning_rate": 8.770605915099927e-08, + "loss": 0.8216, + "step": 40709 + }, + { + "epoch": 0.96, + "grad_norm": 0.7803144112418687, + "learning_rate": 8.760525020906074e-08, + "loss": 0.7179, + "step": 40710 + }, + { + "epoch": 0.96, + "grad_norm": 1.4441479274582152, + "learning_rate": 8.750449898022317e-08, + "loss": 0.7791, + "step": 40711 + }, + { + "epoch": 0.96, + "grad_norm": 1.403910782080111, + "learning_rate": 8.740380546507388e-08, + "loss": 0.8069, + "step": 40712 + }, + { + "epoch": 0.96, + "grad_norm": 1.7854801062637309, + "learning_rate": 8.730316966419682e-08, + "loss": 0.9066, + "step": 40713 + }, + { + "epoch": 0.96, + "grad_norm": 1.7133431408306803, + "learning_rate": 8.720259157817823e-08, + "loss": 0.8975, + "step": 40714 + }, + { + "epoch": 0.96, + "grad_norm": 1.635762593636693, + "learning_rate": 8.71020712076054e-08, + "loss": 0.8365, + "step": 40715 + }, + { + "epoch": 0.96, + "grad_norm": 1.578892449349061, + "learning_rate": 8.70016085530634e-08, + "loss": 0.9019, + "step": 40716 + }, + { + "epoch": 0.96, + "grad_norm": 1.7024724392955572, + "learning_rate": 8.69012036151351e-08, + "loss": 0.9309, + "step": 40717 + }, + { + "epoch": 0.96, + "grad_norm": 1.4095528060140587, + "learning_rate": 8.680085639440672e-08, + "loss": 0.8948, + "step": 40718 + }, + { + "epoch": 0.96, + "grad_norm": 1.643281594542638, + "learning_rate": 8.670056689146334e-08, + "loss": 0.8489, + "step": 40719 + }, + { + "epoch": 0.96, + "grad_norm": 1.7096265139581612, + "learning_rate": 8.66003351068867e-08, + "loss": 0.8188, + "step": 40720 + }, + { + "epoch": 0.96, + "grad_norm": 1.5938270778072852, + "learning_rate": 8.650016104126192e-08, + "loss": 0.712, + "step": 40721 + }, + { + "epoch": 0.96, + "grad_norm": 1.6545063493692982, + "learning_rate": 8.640004469517072e-08, + "loss": 0.8557, + "step": 40722 + }, + { + "epoch": 0.96, + "grad_norm": 1.6661456509698631, + "learning_rate": 8.62999860691982e-08, + "loss": 0.8845, + "step": 40723 + }, + { + "epoch": 0.96, + "grad_norm": 1.5582818972889159, + "learning_rate": 8.619998516392503e-08, + "loss": 0.9304, + "step": 40724 + }, + { + "epoch": 0.96, + "grad_norm": 1.7853268888990985, + "learning_rate": 8.610004197993516e-08, + "loss": 0.7143, + "step": 40725 + }, + { + "epoch": 0.96, + "grad_norm": 1.6635876498248394, + "learning_rate": 8.600015651780924e-08, + "loss": 0.9499, + "step": 40726 + }, + { + "epoch": 0.96, + "grad_norm": 1.5370102194184583, + "learning_rate": 8.590032877812792e-08, + "loss": 0.8145, + "step": 40727 + }, + { + "epoch": 0.96, + "grad_norm": 1.7812396165073001, + "learning_rate": 8.580055876147408e-08, + "loss": 0.7905, + "step": 40728 + }, + { + "epoch": 0.96, + "grad_norm": 1.5238031930364113, + "learning_rate": 8.570084646842946e-08, + "loss": 0.8673, + "step": 40729 + }, + { + "epoch": 0.96, + "grad_norm": 1.6712066350409207, + "learning_rate": 8.56011918995725e-08, + "loss": 0.9116, + "step": 40730 + }, + { + "epoch": 0.96, + "grad_norm": 1.540278600324446, + "learning_rate": 8.550159505548383e-08, + "loss": 0.7902, + "step": 40731 + }, + { + "epoch": 0.96, + "grad_norm": 1.5918955347065482, + "learning_rate": 8.540205593674411e-08, + "loss": 0.7615, + "step": 40732 + }, + { + "epoch": 0.96, + "grad_norm": 1.5802662094872877, + "learning_rate": 8.530257454393287e-08, + "loss": 0.8374, + "step": 40733 + }, + { + "epoch": 0.96, + "grad_norm": 1.7725271777118001, + "learning_rate": 8.520315087762964e-08, + "loss": 0.7801, + "step": 40734 + }, + { + "epoch": 0.96, + "grad_norm": 1.4107363494955978, + "learning_rate": 8.510378493841065e-08, + "loss": 0.7642, + "step": 40735 + }, + { + "epoch": 0.96, + "grad_norm": 1.63221970264429, + "learning_rate": 8.500447672685764e-08, + "loss": 0.8997, + "step": 40736 + }, + { + "epoch": 0.96, + "grad_norm": 1.671435539987321, + "learning_rate": 8.490522624354792e-08, + "loss": 0.9008, + "step": 40737 + }, + { + "epoch": 0.96, + "grad_norm": 1.6583370899788954, + "learning_rate": 8.48060334890588e-08, + "loss": 0.8052, + "step": 40738 + }, + { + "epoch": 0.96, + "grad_norm": 2.957498239551888, + "learning_rate": 8.470689846396762e-08, + "loss": 0.8234, + "step": 40739 + }, + { + "epoch": 0.96, + "grad_norm": 1.5891044015172284, + "learning_rate": 8.460782116885169e-08, + "loss": 0.887, + "step": 40740 + }, + { + "epoch": 0.96, + "grad_norm": 1.680832845235594, + "learning_rate": 8.450880160428831e-08, + "loss": 0.7799, + "step": 40741 + }, + { + "epoch": 0.96, + "grad_norm": 1.5550330674459956, + "learning_rate": 8.440983977085481e-08, + "loss": 0.8456, + "step": 40742 + }, + { + "epoch": 0.96, + "grad_norm": 0.7755216474037407, + "learning_rate": 8.43109356691263e-08, + "loss": 0.6674, + "step": 40743 + }, + { + "epoch": 0.96, + "grad_norm": 1.725991042721648, + "learning_rate": 8.421208929967784e-08, + "loss": 0.751, + "step": 40744 + }, + { + "epoch": 0.96, + "grad_norm": 1.5024672098806235, + "learning_rate": 8.411330066308676e-08, + "loss": 0.8673, + "step": 40745 + }, + { + "epoch": 0.96, + "grad_norm": 2.0347785436758774, + "learning_rate": 8.401456975992706e-08, + "loss": 0.9398, + "step": 40746 + }, + { + "epoch": 0.96, + "grad_norm": 1.5899866139375656, + "learning_rate": 8.391589659077381e-08, + "loss": 0.7953, + "step": 40747 + }, + { + "epoch": 0.96, + "grad_norm": 1.787242524585133, + "learning_rate": 8.381728115620213e-08, + "loss": 0.8151, + "step": 40748 + }, + { + "epoch": 0.96, + "grad_norm": 1.5709864991595126, + "learning_rate": 8.371872345678378e-08, + "loss": 0.8654, + "step": 40749 + }, + { + "epoch": 0.96, + "grad_norm": 0.7265892150677186, + "learning_rate": 8.362022349309718e-08, + "loss": 0.7527, + "step": 40750 + }, + { + "epoch": 0.96, + "grad_norm": 1.9505312331953841, + "learning_rate": 8.352178126571186e-08, + "loss": 0.7989, + "step": 40751 + }, + { + "epoch": 0.96, + "grad_norm": 1.2806795926646481, + "learning_rate": 8.342339677520184e-08, + "loss": 0.7754, + "step": 40752 + }, + { + "epoch": 0.96, + "grad_norm": 0.7505304131442752, + "learning_rate": 8.332507002213996e-08, + "loss": 0.7378, + "step": 40753 + }, + { + "epoch": 0.96, + "grad_norm": 1.5686968616252488, + "learning_rate": 8.322680100710023e-08, + "loss": 0.8764, + "step": 40754 + }, + { + "epoch": 0.96, + "grad_norm": 1.4316270768733217, + "learning_rate": 8.31285897306533e-08, + "loss": 0.7969, + "step": 40755 + }, + { + "epoch": 0.96, + "grad_norm": 0.7644532996313861, + "learning_rate": 8.303043619337093e-08, + "loss": 0.7112, + "step": 40756 + }, + { + "epoch": 0.96, + "grad_norm": 0.7592441911911175, + "learning_rate": 8.293234039582487e-08, + "loss": 0.6149, + "step": 40757 + }, + { + "epoch": 0.96, + "grad_norm": 1.612108486061542, + "learning_rate": 8.283430233858691e-08, + "loss": 0.8729, + "step": 40758 + }, + { + "epoch": 0.96, + "grad_norm": 1.5708324717212934, + "learning_rate": 8.27363220222277e-08, + "loss": 0.7922, + "step": 40759 + }, + { + "epoch": 0.96, + "grad_norm": 1.6995789603920803, + "learning_rate": 8.263839944731677e-08, + "loss": 0.8423, + "step": 40760 + }, + { + "epoch": 0.96, + "grad_norm": 1.7090529622892343, + "learning_rate": 8.254053461442591e-08, + "loss": 0.839, + "step": 40761 + }, + { + "epoch": 0.96, + "grad_norm": 1.7406614069776511, + "learning_rate": 8.244272752412241e-08, + "loss": 0.7953, + "step": 40762 + }, + { + "epoch": 0.96, + "grad_norm": 1.689440854254024, + "learning_rate": 8.234497817697806e-08, + "loss": 0.8272, + "step": 40763 + }, + { + "epoch": 0.96, + "grad_norm": 3.3040575375505052, + "learning_rate": 8.224728657356129e-08, + "loss": 0.8055, + "step": 40764 + }, + { + "epoch": 0.96, + "grad_norm": 1.7070025304469594, + "learning_rate": 8.214965271444053e-08, + "loss": 0.7311, + "step": 40765 + }, + { + "epoch": 0.96, + "grad_norm": 1.5259337571775862, + "learning_rate": 8.205207660018311e-08, + "loss": 0.971, + "step": 40766 + }, + { + "epoch": 0.96, + "grad_norm": 1.3700052375227612, + "learning_rate": 8.195455823136078e-08, + "loss": 0.7493, + "step": 40767 + }, + { + "epoch": 0.96, + "grad_norm": 1.766133097812843, + "learning_rate": 8.185709760853754e-08, + "loss": 0.7221, + "step": 40768 + }, + { + "epoch": 0.96, + "grad_norm": 1.7969806747616266, + "learning_rate": 8.175969473228296e-08, + "loss": 0.7843, + "step": 40769 + }, + { + "epoch": 0.96, + "grad_norm": 0.7738740570175551, + "learning_rate": 8.16623496031621e-08, + "loss": 0.7236, + "step": 40770 + }, + { + "epoch": 0.96, + "grad_norm": 1.6603685785649935, + "learning_rate": 8.156506222174455e-08, + "loss": 0.7945, + "step": 40771 + }, + { + "epoch": 0.96, + "grad_norm": 1.5289652730066583, + "learning_rate": 8.146783258859536e-08, + "loss": 0.7705, + "step": 40772 + }, + { + "epoch": 0.96, + "grad_norm": 1.6495281031346876, + "learning_rate": 8.137066070427968e-08, + "loss": 0.77, + "step": 40773 + }, + { + "epoch": 0.96, + "grad_norm": 1.5261644770044402, + "learning_rate": 8.127354656936481e-08, + "loss": 0.873, + "step": 40774 + }, + { + "epoch": 0.96, + "grad_norm": 1.6007912469142038, + "learning_rate": 8.117649018441587e-08, + "loss": 0.8881, + "step": 40775 + }, + { + "epoch": 0.96, + "grad_norm": 1.5870983050937582, + "learning_rate": 8.107949154999684e-08, + "loss": 0.8508, + "step": 40776 + }, + { + "epoch": 0.96, + "grad_norm": 1.5081864316851523, + "learning_rate": 8.098255066667393e-08, + "loss": 0.7172, + "step": 40777 + }, + { + "epoch": 0.96, + "grad_norm": 1.5154761479485201, + "learning_rate": 8.088566753501004e-08, + "loss": 0.7346, + "step": 40778 + }, + { + "epoch": 0.96, + "grad_norm": 1.7325670396591595, + "learning_rate": 8.078884215557137e-08, + "loss": 0.7958, + "step": 40779 + }, + { + "epoch": 0.96, + "grad_norm": 1.6929334331809582, + "learning_rate": 8.06920745289197e-08, + "loss": 0.899, + "step": 40780 + }, + { + "epoch": 0.96, + "grad_norm": 2.136597314425962, + "learning_rate": 8.059536465561901e-08, + "loss": 0.839, + "step": 40781 + }, + { + "epoch": 0.96, + "grad_norm": 1.6498658701198907, + "learning_rate": 8.049871253623332e-08, + "loss": 0.7798, + "step": 40782 + }, + { + "epoch": 0.96, + "grad_norm": 1.5724259770852735, + "learning_rate": 8.040211817132438e-08, + "loss": 0.8802, + "step": 40783 + }, + { + "epoch": 0.96, + "grad_norm": 1.5594301611641568, + "learning_rate": 8.030558156145507e-08, + "loss": 0.7964, + "step": 40784 + }, + { + "epoch": 0.96, + "grad_norm": 1.5581501310227135, + "learning_rate": 8.020910270718607e-08, + "loss": 0.6658, + "step": 40785 + }, + { + "epoch": 0.96, + "grad_norm": 1.7445543149725657, + "learning_rate": 8.011268160908137e-08, + "loss": 0.9273, + "step": 40786 + }, + { + "epoch": 0.96, + "grad_norm": 1.612075963705588, + "learning_rate": 8.00163182676994e-08, + "loss": 0.7918, + "step": 40787 + }, + { + "epoch": 0.96, + "grad_norm": 1.5998732791042583, + "learning_rate": 7.992001268360528e-08, + "loss": 0.8684, + "step": 40788 + }, + { + "epoch": 0.96, + "grad_norm": 1.5655045479912055, + "learning_rate": 7.982376485735632e-08, + "loss": 0.8509, + "step": 40789 + }, + { + "epoch": 0.96, + "grad_norm": 1.7572882586961767, + "learning_rate": 7.972757478951432e-08, + "loss": 0.8152, + "step": 40790 + }, + { + "epoch": 0.96, + "grad_norm": 1.6487280176292272, + "learning_rate": 7.963144248063881e-08, + "loss": 0.7379, + "step": 40791 + }, + { + "epoch": 0.96, + "grad_norm": 1.4286836572162456, + "learning_rate": 7.953536793129046e-08, + "loss": 0.77, + "step": 40792 + }, + { + "epoch": 0.96, + "grad_norm": 1.4791494122915527, + "learning_rate": 7.943935114202772e-08, + "loss": 0.7453, + "step": 40793 + }, + { + "epoch": 0.96, + "grad_norm": 1.6628035087592214, + "learning_rate": 7.934339211340902e-08, + "loss": 0.9931, + "step": 40794 + }, + { + "epoch": 0.96, + "grad_norm": 1.4570362806912485, + "learning_rate": 7.924749084599393e-08, + "loss": 0.7307, + "step": 40795 + }, + { + "epoch": 0.96, + "grad_norm": 1.71149637755889, + "learning_rate": 7.915164734034198e-08, + "loss": 0.8851, + "step": 40796 + }, + { + "epoch": 0.96, + "grad_norm": 0.7701892264213127, + "learning_rate": 7.90558615970094e-08, + "loss": 0.6761, + "step": 40797 + }, + { + "epoch": 0.96, + "grad_norm": 1.5303045096906562, + "learning_rate": 7.896013361655464e-08, + "loss": 0.744, + "step": 40798 + }, + { + "epoch": 0.96, + "grad_norm": 1.7075326265294362, + "learning_rate": 7.886446339953502e-08, + "loss": 0.9346, + "step": 40799 + }, + { + "epoch": 0.96, + "grad_norm": 1.7827145492367487, + "learning_rate": 7.876885094650677e-08, + "loss": 0.8381, + "step": 40800 + }, + { + "epoch": 0.96, + "grad_norm": 1.6947395121994742, + "learning_rate": 7.867329625802833e-08, + "loss": 1.0144, + "step": 40801 + }, + { + "epoch": 0.96, + "grad_norm": 1.5912254489326763, + "learning_rate": 7.857779933465482e-08, + "loss": 0.855, + "step": 40802 + }, + { + "epoch": 0.96, + "grad_norm": 1.4729905583407565, + "learning_rate": 7.848236017694133e-08, + "loss": 0.7567, + "step": 40803 + }, + { + "epoch": 0.96, + "grad_norm": 2.1308413044996324, + "learning_rate": 7.838697878544632e-08, + "loss": 0.8387, + "step": 40804 + }, + { + "epoch": 0.96, + "grad_norm": 1.6258270772208903, + "learning_rate": 7.829165516072268e-08, + "loss": 0.8076, + "step": 40805 + }, + { + "epoch": 0.96, + "grad_norm": 1.6639459636969252, + "learning_rate": 7.819638930332552e-08, + "loss": 0.7693, + "step": 40806 + }, + { + "epoch": 0.96, + "grad_norm": 0.8235675189550625, + "learning_rate": 7.810118121381105e-08, + "loss": 0.7139, + "step": 40807 + }, + { + "epoch": 0.96, + "grad_norm": 1.642773374030371, + "learning_rate": 7.800603089273218e-08, + "loss": 0.8406, + "step": 40808 + }, + { + "epoch": 0.96, + "grad_norm": 2.383284164501496, + "learning_rate": 7.791093834064289e-08, + "loss": 0.7547, + "step": 40809 + }, + { + "epoch": 0.96, + "grad_norm": 0.7421069189296664, + "learning_rate": 7.781590355809831e-08, + "loss": 0.6617, + "step": 40810 + }, + { + "epoch": 0.96, + "grad_norm": 1.90571223997595, + "learning_rate": 7.772092654565133e-08, + "loss": 0.8258, + "step": 40811 + }, + { + "epoch": 0.96, + "grad_norm": 1.7138670549773032, + "learning_rate": 7.762600730385373e-08, + "loss": 0.9048, + "step": 40812 + }, + { + "epoch": 0.96, + "grad_norm": 1.5681930405503117, + "learning_rate": 7.753114583325838e-08, + "loss": 0.9768, + "step": 40813 + }, + { + "epoch": 0.96, + "grad_norm": 1.7727599734237607, + "learning_rate": 7.74363421344193e-08, + "loss": 0.7795, + "step": 40814 + }, + { + "epoch": 0.96, + "grad_norm": 1.5636917790917533, + "learning_rate": 7.734159620788717e-08, + "loss": 0.715, + "step": 40815 + }, + { + "epoch": 0.96, + "grad_norm": 3.037810574898187, + "learning_rate": 7.724690805421265e-08, + "loss": 0.8382, + "step": 40816 + }, + { + "epoch": 0.96, + "grad_norm": 1.7202199078364064, + "learning_rate": 7.715227767394862e-08, + "loss": 0.9491, + "step": 40817 + }, + { + "epoch": 0.96, + "grad_norm": 1.4804191459555716, + "learning_rate": 7.705770506764576e-08, + "loss": 0.75, + "step": 40818 + }, + { + "epoch": 0.96, + "grad_norm": 1.6570220438501613, + "learning_rate": 7.696319023585475e-08, + "loss": 0.9765, + "step": 40819 + }, + { + "epoch": 0.96, + "grad_norm": 1.57871876858112, + "learning_rate": 7.686873317912514e-08, + "loss": 0.7983, + "step": 40820 + }, + { + "epoch": 0.96, + "grad_norm": 2.00512684419212, + "learning_rate": 7.677433389800759e-08, + "loss": 0.9763, + "step": 40821 + }, + { + "epoch": 0.96, + "grad_norm": 1.6571451104351334, + "learning_rate": 7.667999239305057e-08, + "loss": 0.7523, + "step": 40822 + }, + { + "epoch": 0.96, + "grad_norm": 1.5529035148664323, + "learning_rate": 7.658570866480586e-08, + "loss": 0.8553, + "step": 40823 + }, + { + "epoch": 0.96, + "grad_norm": 1.4913954901058888, + "learning_rate": 7.649148271381967e-08, + "loss": 0.87, + "step": 40824 + }, + { + "epoch": 0.96, + "grad_norm": 3.157716369451576, + "learning_rate": 7.63973145406427e-08, + "loss": 0.73, + "step": 40825 + }, + { + "epoch": 0.96, + "grad_norm": 1.6775851798659511, + "learning_rate": 7.630320414582115e-08, + "loss": 0.7592, + "step": 40826 + }, + { + "epoch": 0.96, + "grad_norm": 1.4582454572520478, + "learning_rate": 7.620915152990571e-08, + "loss": 0.8159, + "step": 40827 + }, + { + "epoch": 0.96, + "grad_norm": 1.8728163112863847, + "learning_rate": 7.61151566934415e-08, + "loss": 0.9438, + "step": 40828 + }, + { + "epoch": 0.96, + "grad_norm": 1.73161153726954, + "learning_rate": 7.602121963697695e-08, + "loss": 0.9091, + "step": 40829 + }, + { + "epoch": 0.96, + "grad_norm": 1.4356516965642907, + "learning_rate": 7.592734036105831e-08, + "loss": 0.8249, + "step": 40830 + }, + { + "epoch": 0.96, + "grad_norm": 1.5060551903912067, + "learning_rate": 7.583351886623291e-08, + "loss": 0.7139, + "step": 40831 + }, + { + "epoch": 0.96, + "grad_norm": 1.633104571697533, + "learning_rate": 7.5739755153047e-08, + "loss": 0.8991, + "step": 40832 + }, + { + "epoch": 0.96, + "grad_norm": 1.3828850358979021, + "learning_rate": 7.564604922204566e-08, + "loss": 0.81, + "step": 40833 + }, + { + "epoch": 0.96, + "grad_norm": 1.6998231488265723, + "learning_rate": 7.555240107377404e-08, + "loss": 0.6921, + "step": 40834 + }, + { + "epoch": 0.96, + "grad_norm": 1.4430636294025785, + "learning_rate": 7.545881070878059e-08, + "loss": 0.8927, + "step": 40835 + }, + { + "epoch": 0.96, + "grad_norm": 1.5574612113009103, + "learning_rate": 7.536527812760708e-08, + "loss": 0.6976, + "step": 40836 + }, + { + "epoch": 0.96, + "grad_norm": 2.0011892161801454, + "learning_rate": 7.527180333079865e-08, + "loss": 0.9071, + "step": 40837 + }, + { + "epoch": 0.96, + "grad_norm": 1.8983387225997614, + "learning_rate": 7.517838631889929e-08, + "loss": 0.9629, + "step": 40838 + }, + { + "epoch": 0.96, + "grad_norm": 1.5974397607169661, + "learning_rate": 7.508502709245524e-08, + "loss": 0.8025, + "step": 40839 + }, + { + "epoch": 0.96, + "grad_norm": 1.5981463117033041, + "learning_rate": 7.499172565200718e-08, + "loss": 0.8674, + "step": 40840 + }, + { + "epoch": 0.96, + "grad_norm": 2.203827846653412, + "learning_rate": 7.489848199809913e-08, + "loss": 0.873, + "step": 40841 + }, + { + "epoch": 0.96, + "grad_norm": 1.9241372246970718, + "learning_rate": 7.480529613127507e-08, + "loss": 0.8778, + "step": 40842 + }, + { + "epoch": 0.96, + "grad_norm": 1.7348730678252786, + "learning_rate": 7.471216805207682e-08, + "loss": 0.7212, + "step": 40843 + }, + { + "epoch": 0.96, + "grad_norm": 1.5497393588878423, + "learning_rate": 7.461909776104725e-08, + "loss": 0.8255, + "step": 40844 + }, + { + "epoch": 0.96, + "grad_norm": 2.065081620535506, + "learning_rate": 7.452608525872595e-08, + "loss": 0.7931, + "step": 40845 + }, + { + "epoch": 0.96, + "grad_norm": 1.6273252208292261, + "learning_rate": 7.443313054565804e-08, + "loss": 0.9081, + "step": 40846 + }, + { + "epoch": 0.96, + "grad_norm": 2.8234568696396334, + "learning_rate": 7.434023362238086e-08, + "loss": 0.8049, + "step": 40847 + }, + { + "epoch": 0.96, + "grad_norm": 0.7443332063103814, + "learning_rate": 7.42473944894384e-08, + "loss": 0.7373, + "step": 40848 + }, + { + "epoch": 0.96, + "grad_norm": 1.6072047036976636, + "learning_rate": 7.415461314737026e-08, + "loss": 0.6334, + "step": 40849 + }, + { + "epoch": 0.96, + "grad_norm": 1.5910125663122012, + "learning_rate": 7.406188959671601e-08, + "loss": 0.8312, + "step": 40850 + }, + { + "epoch": 0.96, + "grad_norm": 1.5680524334855457, + "learning_rate": 7.39692238380163e-08, + "loss": 0.8635, + "step": 40851 + }, + { + "epoch": 0.96, + "grad_norm": 1.7632799280704212, + "learning_rate": 7.387661587180961e-08, + "loss": 0.9115, + "step": 40852 + }, + { + "epoch": 0.96, + "grad_norm": 0.7712550416002264, + "learning_rate": 7.37840656986366e-08, + "loss": 0.672, + "step": 40853 + }, + { + "epoch": 0.96, + "grad_norm": 2.2875823214056656, + "learning_rate": 7.369157331903465e-08, + "loss": 0.9066, + "step": 40854 + }, + { + "epoch": 0.96, + "grad_norm": 2.1183210923020526, + "learning_rate": 7.35991387335433e-08, + "loss": 0.8391, + "step": 40855 + }, + { + "epoch": 0.96, + "grad_norm": 1.6821572759703893, + "learning_rate": 7.350676194270101e-08, + "loss": 0.8521, + "step": 40856 + }, + { + "epoch": 0.96, + "grad_norm": 1.6726627733245034, + "learning_rate": 7.341444294704403e-08, + "loss": 0.8756, + "step": 40857 + }, + { + "epoch": 0.96, + "grad_norm": 1.6446944323600852, + "learning_rate": 7.332218174711081e-08, + "loss": 0.7646, + "step": 40858 + }, + { + "epoch": 0.96, + "grad_norm": 1.371596963055272, + "learning_rate": 7.322997834343871e-08, + "loss": 0.7266, + "step": 40859 + }, + { + "epoch": 0.96, + "grad_norm": 1.6682461954803756, + "learning_rate": 7.313783273656506e-08, + "loss": 0.8489, + "step": 40860 + }, + { + "epoch": 0.96, + "grad_norm": 1.940997311062022, + "learning_rate": 7.304574492702609e-08, + "loss": 0.7347, + "step": 40861 + }, + { + "epoch": 0.96, + "grad_norm": 0.7973075357454545, + "learning_rate": 7.295371491535697e-08, + "loss": 0.7322, + "step": 40862 + }, + { + "epoch": 0.96, + "grad_norm": 5.712821097144461, + "learning_rate": 7.28617427020939e-08, + "loss": 0.8711, + "step": 40863 + }, + { + "epoch": 0.96, + "grad_norm": 1.4690592729813348, + "learning_rate": 7.276982828777312e-08, + "loss": 0.7633, + "step": 40864 + }, + { + "epoch": 0.96, + "grad_norm": 1.583870945173741, + "learning_rate": 7.267797167292867e-08, + "loss": 0.7078, + "step": 40865 + }, + { + "epoch": 0.96, + "grad_norm": 1.7156097754859485, + "learning_rate": 7.258617285809677e-08, + "loss": 0.8251, + "step": 40866 + }, + { + "epoch": 0.96, + "grad_norm": 1.7270830138334143, + "learning_rate": 7.249443184381033e-08, + "loss": 0.6989, + "step": 40867 + }, + { + "epoch": 0.96, + "grad_norm": 1.8175421525754294, + "learning_rate": 7.240274863060448e-08, + "loss": 0.9189, + "step": 40868 + }, + { + "epoch": 0.96, + "grad_norm": 1.6429427290603258, + "learning_rate": 7.231112321901435e-08, + "loss": 0.8109, + "step": 40869 + }, + { + "epoch": 0.96, + "grad_norm": 1.6806306425603155, + "learning_rate": 7.221955560957062e-08, + "loss": 0.8905, + "step": 40870 + }, + { + "epoch": 0.96, + "grad_norm": 1.8757378087058887, + "learning_rate": 7.21280458028073e-08, + "loss": 0.9518, + "step": 40871 + }, + { + "epoch": 0.96, + "grad_norm": 1.6878315977640415, + "learning_rate": 7.203659379925843e-08, + "loss": 0.8962, + "step": 40872 + }, + { + "epoch": 0.96, + "grad_norm": 0.7933564046361459, + "learning_rate": 7.194519959945467e-08, + "loss": 0.6645, + "step": 40873 + }, + { + "epoch": 0.96, + "grad_norm": 1.5268926431825924, + "learning_rate": 7.185386320393006e-08, + "loss": 0.7976, + "step": 40874 + }, + { + "epoch": 0.96, + "grad_norm": 0.7799697646181724, + "learning_rate": 7.176258461321528e-08, + "loss": 0.7167, + "step": 40875 + }, + { + "epoch": 0.96, + "grad_norm": 1.8611394368861305, + "learning_rate": 7.167136382784212e-08, + "loss": 0.8368, + "step": 40876 + }, + { + "epoch": 0.96, + "grad_norm": 1.4574975651654478, + "learning_rate": 7.158020084834128e-08, + "loss": 0.779, + "step": 40877 + }, + { + "epoch": 0.96, + "grad_norm": 1.4656662912675706, + "learning_rate": 7.148909567524343e-08, + "loss": 0.7717, + "step": 40878 + }, + { + "epoch": 0.96, + "grad_norm": 2.213815795302881, + "learning_rate": 7.139804830908037e-08, + "loss": 0.7632, + "step": 40879 + }, + { + "epoch": 0.96, + "grad_norm": 1.9187962856070084, + "learning_rate": 7.130705875037946e-08, + "loss": 0.7904, + "step": 40880 + }, + { + "epoch": 0.96, + "grad_norm": 1.5641259768391056, + "learning_rate": 7.121612699967362e-08, + "loss": 0.7107, + "step": 40881 + }, + { + "epoch": 0.96, + "grad_norm": 1.6522478057886956, + "learning_rate": 7.112525305749129e-08, + "loss": 0.8345, + "step": 40882 + }, + { + "epoch": 0.96, + "grad_norm": 1.3548932903184898, + "learning_rate": 7.103443692435985e-08, + "loss": 0.7125, + "step": 40883 + }, + { + "epoch": 0.96, + "grad_norm": 1.5467233244436738, + "learning_rate": 7.094367860081108e-08, + "loss": 0.7583, + "step": 40884 + }, + { + "epoch": 0.96, + "grad_norm": 1.7733518414781078, + "learning_rate": 7.085297808737013e-08, + "loss": 0.8701, + "step": 40885 + }, + { + "epoch": 0.96, + "grad_norm": 1.5730758143511119, + "learning_rate": 7.076233538456767e-08, + "loss": 0.8962, + "step": 40886 + }, + { + "epoch": 0.96, + "grad_norm": 1.633300549780825, + "learning_rate": 7.067175049292884e-08, + "loss": 0.7976, + "step": 40887 + }, + { + "epoch": 0.96, + "grad_norm": 1.5637076839646549, + "learning_rate": 7.058122341298435e-08, + "loss": 0.7352, + "step": 40888 + }, + { + "epoch": 0.96, + "grad_norm": 1.7017578708897023, + "learning_rate": 7.049075414525818e-08, + "loss": 0.8808, + "step": 40889 + }, + { + "epoch": 0.96, + "grad_norm": 1.6599751266907798, + "learning_rate": 7.040034269027995e-08, + "loss": 0.8525, + "step": 40890 + }, + { + "epoch": 0.96, + "grad_norm": 1.5391365510519006, + "learning_rate": 7.030998904857478e-08, + "loss": 0.8547, + "step": 40891 + }, + { + "epoch": 0.96, + "grad_norm": 1.870994294409382, + "learning_rate": 7.021969322066668e-08, + "loss": 0.8311, + "step": 40892 + }, + { + "epoch": 0.96, + "grad_norm": 1.800462979277788, + "learning_rate": 7.012945520708414e-08, + "loss": 0.8336, + "step": 40893 + }, + { + "epoch": 0.96, + "grad_norm": 1.9123005774908155, + "learning_rate": 7.003927500835118e-08, + "loss": 0.7923, + "step": 40894 + }, + { + "epoch": 0.96, + "grad_norm": 1.707239968682334, + "learning_rate": 6.994915262499513e-08, + "loss": 0.8191, + "step": 40895 + }, + { + "epoch": 0.96, + "grad_norm": 1.5750708504794435, + "learning_rate": 6.985908805753672e-08, + "loss": 0.9083, + "step": 40896 + }, + { + "epoch": 0.96, + "grad_norm": 0.7910130999298177, + "learning_rate": 6.976908130650329e-08, + "loss": 0.6645, + "step": 40897 + }, + { + "epoch": 0.96, + "grad_norm": 1.6753573072975492, + "learning_rate": 6.967913237241885e-08, + "loss": 0.8933, + "step": 40898 + }, + { + "epoch": 0.96, + "grad_norm": 1.9128719525860187, + "learning_rate": 6.958924125580635e-08, + "loss": 0.8596, + "step": 40899 + }, + { + "epoch": 0.96, + "grad_norm": 1.7796324150257425, + "learning_rate": 6.949940795718868e-08, + "loss": 0.8564, + "step": 40900 + }, + { + "epoch": 0.96, + "grad_norm": 1.7263556553795008, + "learning_rate": 6.940963247708877e-08, + "loss": 0.8339, + "step": 40901 + }, + { + "epoch": 0.96, + "grad_norm": 1.6116312602311407, + "learning_rate": 6.931991481603062e-08, + "loss": 0.7232, + "step": 40902 + }, + { + "epoch": 0.96, + "grad_norm": 1.5717262934591687, + "learning_rate": 6.923025497453606e-08, + "loss": 0.8419, + "step": 40903 + }, + { + "epoch": 0.96, + "grad_norm": 1.6679044089998412, + "learning_rate": 6.914065295312689e-08, + "loss": 0.8332, + "step": 40904 + }, + { + "epoch": 0.96, + "grad_norm": 1.6945127357838468, + "learning_rate": 6.90511087523249e-08, + "loss": 0.891, + "step": 40905 + }, + { + "epoch": 0.96, + "grad_norm": 1.6255252952234598, + "learning_rate": 6.896162237265192e-08, + "loss": 0.9869, + "step": 40906 + }, + { + "epoch": 0.96, + "grad_norm": 1.4795381905545215, + "learning_rate": 6.887219381462751e-08, + "loss": 0.8141, + "step": 40907 + }, + { + "epoch": 0.96, + "grad_norm": 1.7019304473035124, + "learning_rate": 6.878282307877349e-08, + "loss": 0.8222, + "step": 40908 + }, + { + "epoch": 0.96, + "grad_norm": 0.7808889862869743, + "learning_rate": 6.869351016561055e-08, + "loss": 0.7053, + "step": 40909 + }, + { + "epoch": 0.96, + "grad_norm": 1.5317076498564626, + "learning_rate": 6.860425507565826e-08, + "loss": 0.7505, + "step": 40910 + }, + { + "epoch": 0.96, + "grad_norm": 1.4517276737508658, + "learning_rate": 6.851505780943512e-08, + "loss": 0.859, + "step": 40911 + }, + { + "epoch": 0.96, + "grad_norm": 1.8606662151082192, + "learning_rate": 6.842591836746293e-08, + "loss": 0.7665, + "step": 40912 + }, + { + "epoch": 0.96, + "grad_norm": 1.7160225916847418, + "learning_rate": 6.833683675025904e-08, + "loss": 0.7846, + "step": 40913 + }, + { + "epoch": 0.96, + "grad_norm": 1.7016601375733078, + "learning_rate": 6.824781295834193e-08, + "loss": 0.8972, + "step": 40914 + }, + { + "epoch": 0.96, + "grad_norm": 1.3504582142006862, + "learning_rate": 6.815884699223007e-08, + "loss": 0.8599, + "step": 40915 + }, + { + "epoch": 0.96, + "grad_norm": 1.490752853457243, + "learning_rate": 6.806993885244307e-08, + "loss": 0.9114, + "step": 40916 + }, + { + "epoch": 0.96, + "grad_norm": 1.703958975461202, + "learning_rate": 6.798108853949603e-08, + "loss": 0.8916, + "step": 40917 + }, + { + "epoch": 0.96, + "grad_norm": 1.6459435932972064, + "learning_rate": 6.789229605390856e-08, + "loss": 0.7857, + "step": 40918 + }, + { + "epoch": 0.96, + "grad_norm": 1.6049085020261342, + "learning_rate": 6.780356139619582e-08, + "loss": 0.881, + "step": 40919 + }, + { + "epoch": 0.96, + "grad_norm": 1.7330811098266865, + "learning_rate": 6.771488456687514e-08, + "loss": 0.8576, + "step": 40920 + }, + { + "epoch": 0.96, + "grad_norm": 1.6348824988010364, + "learning_rate": 6.76262655664639e-08, + "loss": 0.9282, + "step": 40921 + }, + { + "epoch": 0.96, + "grad_norm": 1.5981436905201636, + "learning_rate": 6.753770439547614e-08, + "loss": 0.8264, + "step": 40922 + }, + { + "epoch": 0.96, + "grad_norm": 1.8580871885235706, + "learning_rate": 6.74492010544281e-08, + "loss": 0.9243, + "step": 40923 + }, + { + "epoch": 0.96, + "grad_norm": 1.7430519121186843, + "learning_rate": 6.736075554383604e-08, + "loss": 0.9366, + "step": 40924 + }, + { + "epoch": 0.96, + "grad_norm": 1.676543743177162, + "learning_rate": 6.727236786421509e-08, + "loss": 0.8116, + "step": 40925 + }, + { + "epoch": 0.96, + "grad_norm": 1.7391391489910346, + "learning_rate": 6.718403801607709e-08, + "loss": 0.8372, + "step": 40926 + }, + { + "epoch": 0.96, + "grad_norm": 1.4806066871225017, + "learning_rate": 6.70957659999405e-08, + "loss": 0.7646, + "step": 40927 + }, + { + "epoch": 0.96, + "grad_norm": 1.704814900982906, + "learning_rate": 6.700755181631491e-08, + "loss": 0.7676, + "step": 40928 + }, + { + "epoch": 0.96, + "grad_norm": 1.5672154892273384, + "learning_rate": 6.691939546571769e-08, + "loss": 0.8752, + "step": 40929 + }, + { + "epoch": 0.96, + "grad_norm": 0.7695946195710567, + "learning_rate": 6.683129694866063e-08, + "loss": 0.7137, + "step": 40930 + }, + { + "epoch": 0.96, + "grad_norm": 1.9458493332866127, + "learning_rate": 6.674325626565558e-08, + "loss": 0.8293, + "step": 40931 + }, + { + "epoch": 0.96, + "grad_norm": 1.9466327295871584, + "learning_rate": 6.665527341721544e-08, + "loss": 0.8789, + "step": 40932 + }, + { + "epoch": 0.96, + "grad_norm": 1.6007916186590854, + "learning_rate": 6.656734840385425e-08, + "loss": 0.8211, + "step": 40933 + }, + { + "epoch": 0.96, + "grad_norm": 1.7137185331823723, + "learning_rate": 6.647948122608383e-08, + "loss": 0.8512, + "step": 40934 + }, + { + "epoch": 0.96, + "grad_norm": 1.567474892658164, + "learning_rate": 6.639167188441264e-08, + "loss": 0.8207, + "step": 40935 + }, + { + "epoch": 0.96, + "grad_norm": 1.607366835342359, + "learning_rate": 6.630392037935474e-08, + "loss": 0.7687, + "step": 40936 + }, + { + "epoch": 0.96, + "grad_norm": 1.7215693954949896, + "learning_rate": 6.621622671142191e-08, + "loss": 0.9254, + "step": 40937 + }, + { + "epoch": 0.96, + "grad_norm": 1.4625552236430355, + "learning_rate": 6.612859088112155e-08, + "loss": 0.8524, + "step": 40938 + }, + { + "epoch": 0.96, + "grad_norm": 1.4214539049673858, + "learning_rate": 6.604101288896548e-08, + "loss": 0.7132, + "step": 40939 + }, + { + "epoch": 0.96, + "grad_norm": 1.3874367237933007, + "learning_rate": 6.595349273546437e-08, + "loss": 0.8223, + "step": 40940 + }, + { + "epoch": 0.96, + "grad_norm": 1.976022611219974, + "learning_rate": 6.586603042112671e-08, + "loss": 0.8996, + "step": 40941 + }, + { + "epoch": 0.96, + "grad_norm": 1.657231397880239, + "learning_rate": 6.577862594646323e-08, + "loss": 0.8847, + "step": 40942 + }, + { + "epoch": 0.96, + "grad_norm": 1.631643449230298, + "learning_rate": 6.569127931198016e-08, + "loss": 0.8051, + "step": 40943 + }, + { + "epoch": 0.96, + "grad_norm": 1.921661662953926, + "learning_rate": 6.560399051818822e-08, + "loss": 0.8811, + "step": 40944 + }, + { + "epoch": 0.96, + "grad_norm": 1.6672814713857538, + "learning_rate": 6.551675956559478e-08, + "loss": 0.8478, + "step": 40945 + }, + { + "epoch": 0.96, + "grad_norm": 1.9350951895729418, + "learning_rate": 6.542958645470832e-08, + "loss": 0.794, + "step": 40946 + }, + { + "epoch": 0.96, + "grad_norm": 1.464500188394018, + "learning_rate": 6.534247118603621e-08, + "loss": 0.8816, + "step": 40947 + }, + { + "epoch": 0.96, + "grad_norm": 1.7215054834193528, + "learning_rate": 6.525541376008471e-08, + "loss": 0.948, + "step": 40948 + }, + { + "epoch": 0.96, + "grad_norm": 1.6342448115423216, + "learning_rate": 6.51684141773623e-08, + "loss": 0.7807, + "step": 40949 + }, + { + "epoch": 0.96, + "grad_norm": 1.487824555687859, + "learning_rate": 6.508147243837415e-08, + "loss": 0.8682, + "step": 40950 + }, + { + "epoch": 0.96, + "grad_norm": 1.3314284996775092, + "learning_rate": 6.499458854362761e-08, + "loss": 0.6458, + "step": 40951 + }, + { + "epoch": 0.96, + "grad_norm": 1.7505324989251325, + "learning_rate": 6.490776249362785e-08, + "loss": 0.7899, + "step": 40952 + }, + { + "epoch": 0.96, + "grad_norm": 1.94190996089337, + "learning_rate": 6.482099428888e-08, + "loss": 0.7992, + "step": 40953 + }, + { + "epoch": 0.96, + "grad_norm": 1.7788011121978673, + "learning_rate": 6.473428392989034e-08, + "loss": 0.8443, + "step": 40954 + }, + { + "epoch": 0.96, + "grad_norm": 0.7585315783361136, + "learning_rate": 6.46476314171629e-08, + "loss": 0.6837, + "step": 40955 + }, + { + "epoch": 0.96, + "grad_norm": 1.9157172224760206, + "learning_rate": 6.456103675120173e-08, + "loss": 1.0117, + "step": 40956 + }, + { + "epoch": 0.96, + "grad_norm": 1.507841634654189, + "learning_rate": 6.447449993251197e-08, + "loss": 0.823, + "step": 40957 + }, + { + "epoch": 0.96, + "grad_norm": 1.512773830385134, + "learning_rate": 6.438802096159769e-08, + "loss": 0.8352, + "step": 40958 + }, + { + "epoch": 0.96, + "grad_norm": 0.7748212642713834, + "learning_rate": 6.430159983896179e-08, + "loss": 0.7218, + "step": 40959 + }, + { + "epoch": 0.96, + "grad_norm": 1.528904577078383, + "learning_rate": 6.42152365651072e-08, + "loss": 0.8174, + "step": 40960 + }, + { + "epoch": 0.97, + "grad_norm": 1.669456926600054, + "learning_rate": 6.412893114053798e-08, + "loss": 0.7574, + "step": 40961 + }, + { + "epoch": 0.97, + "grad_norm": 1.7170522348554575, + "learning_rate": 6.404268356575483e-08, + "loss": 0.8088, + "step": 40962 + }, + { + "epoch": 0.97, + "grad_norm": 1.6649924366818762, + "learning_rate": 6.395649384126179e-08, + "loss": 0.7873, + "step": 40963 + }, + { + "epoch": 0.97, + "grad_norm": 1.5814569846791144, + "learning_rate": 6.387036196755847e-08, + "loss": 0.9323, + "step": 40964 + }, + { + "epoch": 0.97, + "grad_norm": 1.7789831681043209, + "learning_rate": 6.378428794514891e-08, + "loss": 0.786, + "step": 40965 + }, + { + "epoch": 0.97, + "grad_norm": 1.5951664795125078, + "learning_rate": 6.369827177453158e-08, + "loss": 0.8904, + "step": 40966 + }, + { + "epoch": 0.97, + "grad_norm": 1.4813945307708216, + "learning_rate": 6.361231345621055e-08, + "loss": 0.7585, + "step": 40967 + }, + { + "epoch": 0.97, + "grad_norm": 1.8489913599650418, + "learning_rate": 6.352641299068318e-08, + "loss": 0.8001, + "step": 40968 + }, + { + "epoch": 0.97, + "grad_norm": 1.8889557690318135, + "learning_rate": 6.344057037845131e-08, + "loss": 0.8713, + "step": 40969 + }, + { + "epoch": 0.97, + "grad_norm": 1.514383972640567, + "learning_rate": 6.33547856200134e-08, + "loss": 0.8376, + "step": 40970 + }, + { + "epoch": 0.97, + "grad_norm": 1.6699944759747891, + "learning_rate": 6.32690587158713e-08, + "loss": 0.7406, + "step": 40971 + }, + { + "epoch": 0.97, + "grad_norm": 1.5648074759492094, + "learning_rate": 6.318338966652127e-08, + "loss": 0.8421, + "step": 40972 + }, + { + "epoch": 0.97, + "grad_norm": 1.6175858618788563, + "learning_rate": 6.309777847246401e-08, + "loss": 0.9265, + "step": 40973 + }, + { + "epoch": 0.97, + "grad_norm": 1.8921480057606175, + "learning_rate": 6.301222513419692e-08, + "loss": 0.876, + "step": 40974 + }, + { + "epoch": 0.97, + "grad_norm": 1.5185822018663628, + "learning_rate": 6.292672965221958e-08, + "loss": 0.9423, + "step": 40975 + }, + { + "epoch": 0.97, + "grad_norm": 2.039080262820432, + "learning_rate": 6.284129202702938e-08, + "loss": 0.8862, + "step": 40976 + }, + { + "epoch": 0.97, + "grad_norm": 0.8091618274127432, + "learning_rate": 6.275591225912148e-08, + "loss": 0.7228, + "step": 40977 + }, + { + "epoch": 0.97, + "grad_norm": 1.5502568545227609, + "learning_rate": 6.267059034899547e-08, + "loss": 0.8157, + "step": 40978 + }, + { + "epoch": 0.97, + "grad_norm": 1.8000712105202699, + "learning_rate": 6.258532629714765e-08, + "loss": 0.812, + "step": 40979 + }, + { + "epoch": 0.97, + "grad_norm": 1.791816162603197, + "learning_rate": 6.250012010407425e-08, + "loss": 0.8292, + "step": 40980 + }, + { + "epoch": 0.97, + "grad_norm": 1.572728542187309, + "learning_rate": 6.241497177027156e-08, + "loss": 0.7849, + "step": 40981 + }, + { + "epoch": 0.97, + "grad_norm": 1.6116721233278108, + "learning_rate": 6.232988129623475e-08, + "loss": 0.7916, + "step": 40982 + }, + { + "epoch": 0.97, + "grad_norm": 1.9645582328422206, + "learning_rate": 6.224484868245895e-08, + "loss": 0.801, + "step": 40983 + }, + { + "epoch": 0.97, + "grad_norm": 0.8372741569479721, + "learning_rate": 6.215987392944045e-08, + "loss": 0.7938, + "step": 40984 + }, + { + "epoch": 0.97, + "grad_norm": 1.6590566933525264, + "learning_rate": 6.20749570376733e-08, + "loss": 0.7786, + "step": 40985 + }, + { + "epoch": 0.97, + "grad_norm": 1.7273028866884168, + "learning_rate": 6.199009800765265e-08, + "loss": 0.7949, + "step": 40986 + }, + { + "epoch": 0.97, + "grad_norm": 2.0650688793569225, + "learning_rate": 6.190529683987145e-08, + "loss": 0.8637, + "step": 40987 + }, + { + "epoch": 0.97, + "grad_norm": 1.439876559665893, + "learning_rate": 6.182055353482375e-08, + "loss": 0.9039, + "step": 40988 + }, + { + "epoch": 0.97, + "grad_norm": 1.8304232166518186, + "learning_rate": 6.173586809300358e-08, + "loss": 0.7641, + "step": 40989 + }, + { + "epoch": 0.97, + "grad_norm": 1.7112164251985815, + "learning_rate": 6.16512405149039e-08, + "loss": 0.8496, + "step": 40990 + }, + { + "epoch": 0.97, + "grad_norm": 1.704437297762237, + "learning_rate": 6.156667080101652e-08, + "loss": 0.8032, + "step": 40991 + }, + { + "epoch": 0.97, + "grad_norm": 1.7478532689916695, + "learning_rate": 6.14821589518344e-08, + "loss": 0.8032, + "step": 40992 + }, + { + "epoch": 0.97, + "grad_norm": 1.706519138561365, + "learning_rate": 6.139770496785047e-08, + "loss": 0.9788, + "step": 40993 + }, + { + "epoch": 0.97, + "grad_norm": 1.4848186650820625, + "learning_rate": 6.131330884955433e-08, + "loss": 0.8287, + "step": 40994 + }, + { + "epoch": 0.97, + "grad_norm": 1.5821814584580802, + "learning_rate": 6.122897059743894e-08, + "loss": 0.7945, + "step": 40995 + }, + { + "epoch": 0.97, + "grad_norm": 1.5611334610883332, + "learning_rate": 6.114469021199498e-08, + "loss": 0.7808, + "step": 40996 + }, + { + "epoch": 0.97, + "grad_norm": 1.5966400794762043, + "learning_rate": 6.106046769371432e-08, + "loss": 0.8552, + "step": 40997 + }, + { + "epoch": 0.97, + "grad_norm": 1.949756678555296, + "learning_rate": 6.097630304308543e-08, + "loss": 0.7713, + "step": 40998 + }, + { + "epoch": 0.97, + "grad_norm": 1.7514418107818848, + "learning_rate": 6.089219626059905e-08, + "loss": 0.8573, + "step": 40999 + }, + { + "epoch": 0.97, + "grad_norm": 1.7252019239427672, + "learning_rate": 6.080814734674478e-08, + "loss": 0.8094, + "step": 41000 + }, + { + "epoch": 0.97, + "grad_norm": 1.4911770013440138, + "learning_rate": 6.072415630201333e-08, + "loss": 0.7285, + "step": 41001 + }, + { + "epoch": 0.97, + "grad_norm": 1.4817089191728825, + "learning_rate": 6.0640223126891e-08, + "loss": 0.8653, + "step": 41002 + }, + { + "epoch": 0.97, + "grad_norm": 1.8341113160746256, + "learning_rate": 6.055634782186848e-08, + "loss": 0.7244, + "step": 41003 + }, + { + "epoch": 0.97, + "grad_norm": 1.5836416890733147, + "learning_rate": 6.047253038743428e-08, + "loss": 0.7078, + "step": 41004 + }, + { + "epoch": 0.97, + "grad_norm": 0.7791908284326151, + "learning_rate": 6.03887708240758e-08, + "loss": 0.7514, + "step": 41005 + }, + { + "epoch": 0.97, + "grad_norm": 1.8758259728451299, + "learning_rate": 6.03050691322804e-08, + "loss": 0.8165, + "step": 41006 + }, + { + "epoch": 0.97, + "grad_norm": 1.4231174878679567, + "learning_rate": 6.02214253125366e-08, + "loss": 0.8281, + "step": 41007 + }, + { + "epoch": 0.97, + "grad_norm": 1.6530902546205442, + "learning_rate": 6.013783936532846e-08, + "loss": 0.8646, + "step": 41008 + }, + { + "epoch": 0.97, + "grad_norm": 1.5183414724477202, + "learning_rate": 6.00543112911467e-08, + "loss": 0.8983, + "step": 41009 + }, + { + "epoch": 0.97, + "grad_norm": 1.6685287352132703, + "learning_rate": 5.997084109047424e-08, + "loss": 0.8396, + "step": 41010 + }, + { + "epoch": 0.97, + "grad_norm": 1.7014725376963822, + "learning_rate": 5.98874287637996e-08, + "loss": 0.7219, + "step": 41011 + }, + { + "epoch": 0.97, + "grad_norm": 1.8706057575158892, + "learning_rate": 5.980407431160684e-08, + "loss": 0.7978, + "step": 41012 + }, + { + "epoch": 0.97, + "grad_norm": 1.5461623015554484, + "learning_rate": 5.972077773438223e-08, + "loss": 0.8935, + "step": 41013 + }, + { + "epoch": 0.97, + "grad_norm": 1.620809547771287, + "learning_rate": 5.963753903260983e-08, + "loss": 0.8018, + "step": 41014 + }, + { + "epoch": 0.97, + "grad_norm": 1.802355112919252, + "learning_rate": 5.95543582067748e-08, + "loss": 0.8146, + "step": 41015 + }, + { + "epoch": 0.97, + "grad_norm": 1.6784317725081936, + "learning_rate": 5.94712352573612e-08, + "loss": 0.7496, + "step": 41016 + }, + { + "epoch": 0.97, + "grad_norm": 1.4983838095980615, + "learning_rate": 5.938817018485421e-08, + "loss": 0.8936, + "step": 41017 + }, + { + "epoch": 0.97, + "grad_norm": 2.1910241326772675, + "learning_rate": 5.930516298973565e-08, + "loss": 0.8087, + "step": 41018 + }, + { + "epoch": 0.97, + "grad_norm": 1.7562787379759879, + "learning_rate": 5.922221367248959e-08, + "loss": 0.8743, + "step": 41019 + }, + { + "epoch": 0.97, + "grad_norm": 1.606373891467492, + "learning_rate": 5.913932223359897e-08, + "loss": 0.7866, + "step": 41020 + }, + { + "epoch": 0.97, + "grad_norm": 1.808717587379972, + "learning_rate": 5.905648867354563e-08, + "loss": 0.8316, + "step": 41021 + }, + { + "epoch": 0.97, + "grad_norm": 0.7838324149414354, + "learning_rate": 5.897371299281473e-08, + "loss": 0.7429, + "step": 41022 + }, + { + "epoch": 0.97, + "grad_norm": 1.6454757958807917, + "learning_rate": 5.8890995191884795e-08, + "loss": 0.8864, + "step": 41023 + }, + { + "epoch": 0.97, + "grad_norm": 1.766966173915765, + "learning_rate": 5.880833527123875e-08, + "loss": 0.7177, + "step": 41024 + }, + { + "epoch": 0.97, + "grad_norm": 0.7330389984923396, + "learning_rate": 5.872573323135844e-08, + "loss": 0.6781, + "step": 41025 + }, + { + "epoch": 0.97, + "grad_norm": 1.7131559897587154, + "learning_rate": 5.8643189072723485e-08, + "loss": 0.8899, + "step": 41026 + }, + { + "epoch": 0.97, + "grad_norm": 1.4665424729534848, + "learning_rate": 5.856070279581572e-08, + "loss": 0.9085, + "step": 41027 + }, + { + "epoch": 0.97, + "grad_norm": 1.9138365795286707, + "learning_rate": 5.847827440111475e-08, + "loss": 0.8678, + "step": 41028 + }, + { + "epoch": 0.97, + "grad_norm": 1.6495275492096537, + "learning_rate": 5.839590388910132e-08, + "loss": 0.9227, + "step": 41029 + }, + { + "epoch": 0.97, + "grad_norm": 1.5195070759871698, + "learning_rate": 5.831359126025393e-08, + "loss": 0.837, + "step": 41030 + }, + { + "epoch": 0.97, + "grad_norm": 1.4806155869385056, + "learning_rate": 5.8231336515052196e-08, + "loss": 0.831, + "step": 41031 + }, + { + "epoch": 0.97, + "grad_norm": 1.715538906480099, + "learning_rate": 5.814913965397573e-08, + "loss": 0.9029, + "step": 41032 + }, + { + "epoch": 0.97, + "grad_norm": 1.802878339347037, + "learning_rate": 5.806700067750193e-08, + "loss": 0.816, + "step": 41033 + }, + { + "epoch": 0.97, + "grad_norm": 2.5483611637020536, + "learning_rate": 5.79849195861093e-08, + "loss": 0.8926, + "step": 41034 + }, + { + "epoch": 0.97, + "grad_norm": 0.7474683065321559, + "learning_rate": 5.7902896380276354e-08, + "loss": 0.7062, + "step": 41035 + }, + { + "epoch": 0.97, + "grad_norm": 1.3971716714829476, + "learning_rate": 5.782093106048159e-08, + "loss": 0.7441, + "step": 41036 + }, + { + "epoch": 0.97, + "grad_norm": 1.595188038164802, + "learning_rate": 5.7739023627199074e-08, + "loss": 0.815, + "step": 41037 + }, + { + "epoch": 0.97, + "grad_norm": 1.6572142854782603, + "learning_rate": 5.765717408090843e-08, + "loss": 0.7608, + "step": 41038 + }, + { + "epoch": 0.97, + "grad_norm": 1.6830686306532574, + "learning_rate": 5.7575382422085935e-08, + "loss": 0.7886, + "step": 41039 + }, + { + "epoch": 0.97, + "grad_norm": 0.724238730741248, + "learning_rate": 5.749364865120677e-08, + "loss": 0.7198, + "step": 41040 + }, + { + "epoch": 0.97, + "grad_norm": 1.660492474118983, + "learning_rate": 5.7411972768747213e-08, + "loss": 0.7799, + "step": 41041 + }, + { + "epoch": 0.97, + "grad_norm": 3.6677900685376095, + "learning_rate": 5.733035477518245e-08, + "loss": 0.8804, + "step": 41042 + }, + { + "epoch": 0.97, + "grad_norm": 1.4317601101079773, + "learning_rate": 5.7248794670989874e-08, + "loss": 0.8457, + "step": 41043 + }, + { + "epoch": 0.97, + "grad_norm": 1.526615800649673, + "learning_rate": 5.7167292456641324e-08, + "loss": 0.7857, + "step": 41044 + }, + { + "epoch": 0.97, + "grad_norm": 1.5333811131773734, + "learning_rate": 5.708584813261308e-08, + "loss": 0.7656, + "step": 41045 + }, + { + "epoch": 0.97, + "grad_norm": 1.7551385525037446, + "learning_rate": 5.700446169937812e-08, + "loss": 0.8209, + "step": 41046 + }, + { + "epoch": 0.97, + "grad_norm": 1.7408696056585273, + "learning_rate": 5.69231331574116e-08, + "loss": 0.818, + "step": 41047 + }, + { + "epoch": 0.97, + "grad_norm": 1.8872104135059826, + "learning_rate": 5.6841862507186484e-08, + "loss": 0.8292, + "step": 41048 + }, + { + "epoch": 0.97, + "grad_norm": 1.5313083812564883, + "learning_rate": 5.6760649749175726e-08, + "loss": 0.7787, + "step": 41049 + }, + { + "epoch": 0.97, + "grad_norm": 2.066755783905316, + "learning_rate": 5.667949488385338e-08, + "loss": 0.8674, + "step": 41050 + }, + { + "epoch": 0.97, + "grad_norm": 1.6890005139186053, + "learning_rate": 5.6598397911690194e-08, + "loss": 0.8225, + "step": 41051 + }, + { + "epoch": 0.97, + "grad_norm": 1.7298119702083679, + "learning_rate": 5.651735883316023e-08, + "loss": 0.7318, + "step": 41052 + }, + { + "epoch": 0.97, + "grad_norm": 1.5572389200525363, + "learning_rate": 5.643637764873311e-08, + "loss": 0.7909, + "step": 41053 + }, + { + "epoch": 0.97, + "grad_norm": 1.5763038488010634, + "learning_rate": 5.635545435888179e-08, + "loss": 0.8456, + "step": 41054 + }, + { + "epoch": 0.97, + "grad_norm": 1.5419348800797432, + "learning_rate": 5.6274588964077006e-08, + "loss": 0.7752, + "step": 41055 + }, + { + "epoch": 0.97, + "grad_norm": 1.6356067626498187, + "learning_rate": 5.619378146478949e-08, + "loss": 0.7978, + "step": 41056 + }, + { + "epoch": 0.97, + "grad_norm": 1.6066475853205775, + "learning_rate": 5.6113031861491086e-08, + "loss": 0.8688, + "step": 41057 + }, + { + "epoch": 0.97, + "grad_norm": 1.9742332488143408, + "learning_rate": 5.60323401546492e-08, + "loss": 0.775, + "step": 41058 + }, + { + "epoch": 0.97, + "grad_norm": 1.689554815663477, + "learning_rate": 5.595170634473568e-08, + "loss": 0.7553, + "step": 41059 + }, + { + "epoch": 0.97, + "grad_norm": 1.6815905897215424, + "learning_rate": 5.587113043222015e-08, + "loss": 0.8497, + "step": 41060 + }, + { + "epoch": 0.97, + "grad_norm": 1.5685199384651514, + "learning_rate": 5.579061241757111e-08, + "loss": 0.8498, + "step": 41061 + }, + { + "epoch": 0.97, + "grad_norm": 1.9730967801979982, + "learning_rate": 5.571015230125709e-08, + "loss": 0.7917, + "step": 41062 + }, + { + "epoch": 0.97, + "grad_norm": 0.7671738022758776, + "learning_rate": 5.5629750083746606e-08, + "loss": 0.6632, + "step": 41063 + }, + { + "epoch": 0.97, + "grad_norm": 1.697382673957747, + "learning_rate": 5.5549405765509265e-08, + "loss": 0.849, + "step": 41064 + }, + { + "epoch": 0.97, + "grad_norm": 1.5877067050969145, + "learning_rate": 5.546911934701027e-08, + "loss": 0.8339, + "step": 41065 + }, + { + "epoch": 0.97, + "grad_norm": 1.4822257567579253, + "learning_rate": 5.538889082871923e-08, + "loss": 0.7285, + "step": 41066 + }, + { + "epoch": 0.97, + "grad_norm": 1.5520553830577877, + "learning_rate": 5.5308720211102454e-08, + "loss": 0.8688, + "step": 41067 + }, + { + "epoch": 0.97, + "grad_norm": 1.5770848831821873, + "learning_rate": 5.522860749462622e-08, + "loss": 0.782, + "step": 41068 + }, + { + "epoch": 0.97, + "grad_norm": 1.6270723877698767, + "learning_rate": 5.514855267975794e-08, + "loss": 0.9217, + "step": 41069 + }, + { + "epoch": 0.97, + "grad_norm": 4.13087787322486, + "learning_rate": 5.506855576696279e-08, + "loss": 0.779, + "step": 41070 + }, + { + "epoch": 0.97, + "grad_norm": 2.6958028595414913, + "learning_rate": 5.498861675670819e-08, + "loss": 0.7551, + "step": 41071 + }, + { + "epoch": 0.97, + "grad_norm": 1.6648719949191402, + "learning_rate": 5.490873564945709e-08, + "loss": 0.7817, + "step": 41072 + }, + { + "epoch": 0.97, + "grad_norm": 0.7650405038049943, + "learning_rate": 5.482891244567689e-08, + "loss": 0.6962, + "step": 41073 + }, + { + "epoch": 0.97, + "grad_norm": 2.259248622733783, + "learning_rate": 5.474914714583057e-08, + "loss": 0.8376, + "step": 41074 + }, + { + "epoch": 0.97, + "grad_norm": 0.770217125380984, + "learning_rate": 5.46694397503833e-08, + "loss": 0.6961, + "step": 41075 + }, + { + "epoch": 0.97, + "grad_norm": 1.7194835734468454, + "learning_rate": 5.458979025979916e-08, + "loss": 0.905, + "step": 41076 + }, + { + "epoch": 0.97, + "grad_norm": 1.509292562391661, + "learning_rate": 5.451019867454221e-08, + "loss": 0.9374, + "step": 41077 + }, + { + "epoch": 0.97, + "grad_norm": 1.592747828017793, + "learning_rate": 5.4430664995076543e-08, + "loss": 0.6857, + "step": 41078 + }, + { + "epoch": 0.97, + "grad_norm": 1.7685090837801023, + "learning_rate": 5.435118922186289e-08, + "loss": 0.6859, + "step": 41079 + }, + { + "epoch": 0.97, + "grad_norm": 1.549497856226855, + "learning_rate": 5.427177135536532e-08, + "loss": 0.7398, + "step": 41080 + }, + { + "epoch": 0.97, + "grad_norm": 1.5198759823182932, + "learning_rate": 5.4192411396046806e-08, + "loss": 0.9042, + "step": 41081 + }, + { + "epoch": 0.97, + "grad_norm": 1.5051644802829414, + "learning_rate": 5.41131093443692e-08, + "loss": 0.7203, + "step": 41082 + }, + { + "epoch": 0.97, + "grad_norm": 1.526058694394717, + "learning_rate": 5.4033865200793236e-08, + "loss": 0.7913, + "step": 41083 + }, + { + "epoch": 0.97, + "grad_norm": 1.5285192188801473, + "learning_rate": 5.395467896578077e-08, + "loss": 0.7546, + "step": 41084 + }, + { + "epoch": 0.97, + "grad_norm": 1.7527998194098326, + "learning_rate": 5.387555063979366e-08, + "loss": 0.8269, + "step": 41085 + }, + { + "epoch": 0.97, + "grad_norm": 0.8078262051129013, + "learning_rate": 5.3796480223292643e-08, + "loss": 0.7169, + "step": 41086 + }, + { + "epoch": 0.97, + "grad_norm": 1.67390818034783, + "learning_rate": 5.371746771673625e-08, + "loss": 0.8424, + "step": 41087 + }, + { + "epoch": 0.97, + "grad_norm": 1.6047291553115894, + "learning_rate": 5.363851312058632e-08, + "loss": 0.7996, + "step": 41088 + }, + { + "epoch": 0.97, + "grad_norm": 1.4877355149446077, + "learning_rate": 5.355961643530139e-08, + "loss": 0.9161, + "step": 41089 + }, + { + "epoch": 0.97, + "grad_norm": 2.238519850981052, + "learning_rate": 5.3480777661341077e-08, + "loss": 0.906, + "step": 41090 + }, + { + "epoch": 0.97, + "grad_norm": 1.7090810190701264, + "learning_rate": 5.340199679916502e-08, + "loss": 0.7706, + "step": 41091 + }, + { + "epoch": 0.97, + "grad_norm": 1.5492075139982806, + "learning_rate": 5.332327384923175e-08, + "loss": 0.7804, + "step": 41092 + }, + { + "epoch": 0.97, + "grad_norm": 1.4285133548313476, + "learning_rate": 5.3244608811999776e-08, + "loss": 0.7378, + "step": 41093 + }, + { + "epoch": 0.97, + "grad_norm": 1.59458905712432, + "learning_rate": 5.3166001687926515e-08, + "loss": 0.8606, + "step": 41094 + }, + { + "epoch": 0.97, + "grad_norm": 1.671482060720957, + "learning_rate": 5.308745247747049e-08, + "loss": 0.8706, + "step": 41095 + }, + { + "epoch": 0.97, + "grad_norm": 2.098494169818741, + "learning_rate": 5.3008961181086895e-08, + "loss": 0.8155, + "step": 41096 + }, + { + "epoch": 0.97, + "grad_norm": 1.5809514949993424, + "learning_rate": 5.293052779923535e-08, + "loss": 0.8272, + "step": 41097 + }, + { + "epoch": 0.97, + "grad_norm": 1.5397540023410017, + "learning_rate": 5.285215233237107e-08, + "loss": 0.7629, + "step": 41098 + }, + { + "epoch": 0.97, + "grad_norm": 1.5197366981674851, + "learning_rate": 5.277383478095144e-08, + "loss": 0.9767, + "step": 41099 + }, + { + "epoch": 0.97, + "grad_norm": 1.5265335722145534, + "learning_rate": 5.2695575145431664e-08, + "loss": 0.7207, + "step": 41100 + }, + { + "epoch": 0.97, + "grad_norm": 1.4443545866614058, + "learning_rate": 5.261737342626694e-08, + "loss": 0.8246, + "step": 41101 + }, + { + "epoch": 0.97, + "grad_norm": 1.5533359865343672, + "learning_rate": 5.253922962391356e-08, + "loss": 0.7552, + "step": 41102 + }, + { + "epoch": 0.97, + "grad_norm": 2.494641455918641, + "learning_rate": 5.2461143738825605e-08, + "loss": 0.7875, + "step": 41103 + }, + { + "epoch": 0.97, + "grad_norm": 2.244158439092424, + "learning_rate": 5.238311577145827e-08, + "loss": 0.8086, + "step": 41104 + }, + { + "epoch": 0.97, + "grad_norm": 1.559419628896069, + "learning_rate": 5.230514572226675e-08, + "loss": 0.9106, + "step": 41105 + }, + { + "epoch": 0.97, + "grad_norm": 1.862426908767693, + "learning_rate": 5.22272335917029e-08, + "loss": 0.668, + "step": 41106 + }, + { + "epoch": 0.97, + "grad_norm": 2.003446705086436, + "learning_rate": 5.214937938022191e-08, + "loss": 0.941, + "step": 41107 + }, + { + "epoch": 0.97, + "grad_norm": 1.5217597038828314, + "learning_rate": 5.2071583088276755e-08, + "loss": 0.7895, + "step": 41108 + }, + { + "epoch": 0.97, + "grad_norm": 1.7266795830167478, + "learning_rate": 5.1993844716321515e-08, + "loss": 0.8408, + "step": 41109 + }, + { + "epoch": 0.97, + "grad_norm": 1.3988244766691709, + "learning_rate": 5.191616426480584e-08, + "loss": 0.6924, + "step": 41110 + }, + { + "epoch": 0.97, + "grad_norm": 1.6419579518601346, + "learning_rate": 5.183854173418379e-08, + "loss": 0.8138, + "step": 41111 + }, + { + "epoch": 0.97, + "grad_norm": 1.7357721557812962, + "learning_rate": 5.1760977124908354e-08, + "loss": 0.8237, + "step": 41112 + }, + { + "epoch": 0.97, + "grad_norm": 1.366633457869744, + "learning_rate": 5.168347043742916e-08, + "loss": 0.7551, + "step": 41113 + }, + { + "epoch": 0.97, + "grad_norm": 0.8006127148329205, + "learning_rate": 5.160602167219919e-08, + "loss": 0.7438, + "step": 41114 + }, + { + "epoch": 0.97, + "grad_norm": 1.6128216073996933, + "learning_rate": 5.152863082966808e-08, + "loss": 0.8407, + "step": 41115 + }, + { + "epoch": 0.97, + "grad_norm": 1.6159424696401, + "learning_rate": 5.145129791028658e-08, + "loss": 0.9058, + "step": 41116 + }, + { + "epoch": 0.97, + "grad_norm": 1.519823522743918, + "learning_rate": 5.137402291450655e-08, + "loss": 0.8412, + "step": 41117 + }, + { + "epoch": 0.97, + "grad_norm": 2.8403865391490086, + "learning_rate": 5.129680584277541e-08, + "loss": 0.8485, + "step": 41118 + }, + { + "epoch": 0.97, + "grad_norm": 1.8660378144851004, + "learning_rate": 5.1219646695543915e-08, + "loss": 0.8484, + "step": 41119 + }, + { + "epoch": 0.97, + "grad_norm": 1.9250563843463306, + "learning_rate": 5.1142545473261694e-08, + "loss": 0.7631, + "step": 41120 + }, + { + "epoch": 0.97, + "grad_norm": 1.4530038115936106, + "learning_rate": 5.10655021763784e-08, + "loss": 0.784, + "step": 41121 + }, + { + "epoch": 0.97, + "grad_norm": 1.7875978184410528, + "learning_rate": 5.0988516805340337e-08, + "loss": 0.9568, + "step": 41122 + }, + { + "epoch": 0.97, + "grad_norm": 1.8217396829063903, + "learning_rate": 5.091158936059715e-08, + "loss": 0.8638, + "step": 41123 + }, + { + "epoch": 0.97, + "grad_norm": 0.6921126713780484, + "learning_rate": 5.0834719842596246e-08, + "loss": 0.7015, + "step": 41124 + }, + { + "epoch": 0.97, + "grad_norm": 1.5369580419225606, + "learning_rate": 5.075790825178617e-08, + "loss": 0.8434, + "step": 41125 + }, + { + "epoch": 0.97, + "grad_norm": 1.7747327242908006, + "learning_rate": 5.0681154588612114e-08, + "loss": 0.9444, + "step": 41126 + }, + { + "epoch": 0.97, + "grad_norm": 1.705854205426184, + "learning_rate": 5.0604458853523716e-08, + "loss": 0.9903, + "step": 41127 + }, + { + "epoch": 0.97, + "grad_norm": 2.450664874233554, + "learning_rate": 5.052782104696508e-08, + "loss": 0.8716, + "step": 41128 + }, + { + "epoch": 0.97, + "grad_norm": 1.6171227511967832, + "learning_rate": 5.045124116938471e-08, + "loss": 0.8639, + "step": 41129 + }, + { + "epoch": 0.97, + "grad_norm": 1.6267101061370695, + "learning_rate": 5.037471922122561e-08, + "loss": 0.8425, + "step": 41130 + }, + { + "epoch": 0.97, + "grad_norm": 1.634482012643192, + "learning_rate": 5.02982552029363e-08, + "loss": 0.8117, + "step": 41131 + }, + { + "epoch": 0.97, + "grad_norm": 1.5788350077150433, + "learning_rate": 5.022184911495864e-08, + "loss": 0.784, + "step": 41132 + }, + { + "epoch": 0.97, + "grad_norm": 1.7540928060182497, + "learning_rate": 5.0145500957741176e-08, + "loss": 0.8488, + "step": 41133 + }, + { + "epoch": 0.97, + "grad_norm": 0.7934764806674518, + "learning_rate": 5.006921073172688e-08, + "loss": 0.6521, + "step": 41134 + }, + { + "epoch": 0.97, + "grad_norm": 1.566712413765833, + "learning_rate": 4.999297843735873e-08, + "loss": 0.9211, + "step": 41135 + }, + { + "epoch": 0.97, + "grad_norm": 1.6992223920454257, + "learning_rate": 4.991680407508193e-08, + "loss": 0.7839, + "step": 41136 + }, + { + "epoch": 0.97, + "grad_norm": 1.5570103895011496, + "learning_rate": 4.9840687645339446e-08, + "loss": 0.7453, + "step": 41137 + }, + { + "epoch": 0.97, + "grad_norm": 1.6833194535288118, + "learning_rate": 4.976462914857538e-08, + "loss": 0.765, + "step": 41138 + }, + { + "epoch": 0.97, + "grad_norm": 0.8027613879941029, + "learning_rate": 4.968862858523049e-08, + "loss": 0.7096, + "step": 41139 + }, + { + "epoch": 0.97, + "grad_norm": 1.6486936023591174, + "learning_rate": 4.961268595574886e-08, + "loss": 0.7597, + "step": 41140 + }, + { + "epoch": 0.97, + "grad_norm": 1.642654574133425, + "learning_rate": 4.9536801260573475e-08, + "loss": 0.88, + "step": 41141 + }, + { + "epoch": 0.97, + "grad_norm": 2.025785928656936, + "learning_rate": 4.946097450014509e-08, + "loss": 0.6792, + "step": 41142 + }, + { + "epoch": 0.97, + "grad_norm": 5.673986834350542, + "learning_rate": 4.9385205674904455e-08, + "loss": 0.9405, + "step": 41143 + }, + { + "epoch": 0.97, + "grad_norm": 1.672458774127032, + "learning_rate": 4.930949478529346e-08, + "loss": 0.8036, + "step": 41144 + }, + { + "epoch": 0.97, + "grad_norm": 1.5184909502257835, + "learning_rate": 4.923384183175284e-08, + "loss": 0.6799, + "step": 41145 + }, + { + "epoch": 0.97, + "grad_norm": 0.8035379597858322, + "learning_rate": 4.9158246814723367e-08, + "loss": 0.6901, + "step": 41146 + }, + { + "epoch": 0.97, + "grad_norm": 2.0009646276306103, + "learning_rate": 4.90827097346458e-08, + "loss": 0.8285, + "step": 41147 + }, + { + "epoch": 0.97, + "grad_norm": 2.0620443515196247, + "learning_rate": 4.9007230591957555e-08, + "loss": 0.8161, + "step": 41148 + }, + { + "epoch": 0.97, + "grad_norm": 1.7526339770975965, + "learning_rate": 4.8931809387100515e-08, + "loss": 0.851, + "step": 41149 + }, + { + "epoch": 0.97, + "grad_norm": 2.1701271286404036, + "learning_rate": 4.8856446120513215e-08, + "loss": 0.838, + "step": 41150 + }, + { + "epoch": 0.97, + "grad_norm": 0.7665928715620209, + "learning_rate": 4.8781140792633074e-08, + "loss": 0.6621, + "step": 41151 + }, + { + "epoch": 0.97, + "grad_norm": 1.8103021648229884, + "learning_rate": 4.870589340390086e-08, + "loss": 0.7681, + "step": 41152 + }, + { + "epoch": 0.97, + "grad_norm": 1.6782791229403953, + "learning_rate": 4.863070395475289e-08, + "loss": 0.7619, + "step": 41153 + }, + { + "epoch": 0.97, + "grad_norm": 1.53651434753673, + "learning_rate": 4.85555724456277e-08, + "loss": 0.772, + "step": 41154 + }, + { + "epoch": 0.97, + "grad_norm": 1.7211115094504852, + "learning_rate": 4.848049887696271e-08, + "loss": 0.7256, + "step": 41155 + }, + { + "epoch": 0.97, + "grad_norm": 0.776952554809742, + "learning_rate": 4.8405483249194255e-08, + "loss": 0.6853, + "step": 41156 + }, + { + "epoch": 0.97, + "grad_norm": 0.7996522303970091, + "learning_rate": 4.8330525562759745e-08, + "loss": 0.7155, + "step": 41157 + }, + { + "epoch": 0.97, + "grad_norm": 1.7362910947334758, + "learning_rate": 4.8255625818096616e-08, + "loss": 0.7768, + "step": 41158 + }, + { + "epoch": 0.97, + "grad_norm": 1.6536614911979661, + "learning_rate": 4.818078401563897e-08, + "loss": 0.7169, + "step": 41159 + }, + { + "epoch": 0.97, + "grad_norm": 1.53735437914906, + "learning_rate": 4.810600015582312e-08, + "loss": 0.8401, + "step": 41160 + }, + { + "epoch": 0.97, + "grad_norm": 1.5995315967438553, + "learning_rate": 4.803127423908538e-08, + "loss": 0.8777, + "step": 41161 + }, + { + "epoch": 0.97, + "grad_norm": 0.708180514680619, + "learning_rate": 4.795660626586096e-08, + "loss": 0.6658, + "step": 41162 + }, + { + "epoch": 0.97, + "grad_norm": 1.5797959889644608, + "learning_rate": 4.788199623658285e-08, + "loss": 0.7241, + "step": 41163 + }, + { + "epoch": 0.97, + "grad_norm": 0.8206089649362309, + "learning_rate": 4.7807444151687363e-08, + "loss": 0.8039, + "step": 41164 + }, + { + "epoch": 0.97, + "grad_norm": 1.8312498196895834, + "learning_rate": 4.773295001160638e-08, + "loss": 0.9716, + "step": 41165 + }, + { + "epoch": 0.97, + "grad_norm": 0.7228981330729078, + "learning_rate": 4.765851381677622e-08, + "loss": 0.6344, + "step": 41166 + }, + { + "epoch": 0.97, + "grad_norm": 2.934657694960392, + "learning_rate": 4.758413556762986e-08, + "loss": 0.7511, + "step": 41167 + }, + { + "epoch": 0.97, + "grad_norm": 1.58663652109454, + "learning_rate": 4.750981526459808e-08, + "loss": 0.939, + "step": 41168 + }, + { + "epoch": 0.97, + "grad_norm": 1.506603627061087, + "learning_rate": 4.7435552908114966e-08, + "loss": 0.7337, + "step": 41169 + }, + { + "epoch": 0.97, + "grad_norm": 1.5745860593371854, + "learning_rate": 4.7361348498613516e-08, + "loss": 0.7899, + "step": 41170 + }, + { + "epoch": 0.97, + "grad_norm": 1.5308277196131737, + "learning_rate": 4.728720203652559e-08, + "loss": 0.8774, + "step": 41171 + }, + { + "epoch": 0.97, + "grad_norm": 1.6778933850243178, + "learning_rate": 4.721311352228197e-08, + "loss": 0.9042, + "step": 41172 + }, + { + "epoch": 0.97, + "grad_norm": 1.6673253436665796, + "learning_rate": 4.713908295631564e-08, + "loss": 0.8515, + "step": 41173 + }, + { + "epoch": 0.97, + "grad_norm": 1.6517033750086005, + "learning_rate": 4.706511033905514e-08, + "loss": 0.8573, + "step": 41174 + }, + { + "epoch": 0.97, + "grad_norm": 1.8092176144130478, + "learning_rate": 4.6991195670932355e-08, + "loss": 0.8583, + "step": 41175 + }, + { + "epoch": 0.97, + "grad_norm": 1.6328062025895866, + "learning_rate": 4.6917338952380266e-08, + "loss": 0.9293, + "step": 41176 + }, + { + "epoch": 0.97, + "grad_norm": 1.6202455942054028, + "learning_rate": 4.684354018382409e-08, + "loss": 0.7953, + "step": 41177 + }, + { + "epoch": 0.97, + "grad_norm": 1.9405371171887693, + "learning_rate": 4.6769799365696814e-08, + "loss": 0.753, + "step": 41178 + }, + { + "epoch": 0.97, + "grad_norm": 1.7888376475195373, + "learning_rate": 4.669611649842698e-08, + "loss": 0.9059, + "step": 41179 + }, + { + "epoch": 0.97, + "grad_norm": 1.4329713096973138, + "learning_rate": 4.662249158244425e-08, + "loss": 0.7512, + "step": 41180 + }, + { + "epoch": 0.97, + "grad_norm": 1.5417481694255428, + "learning_rate": 4.6548924618176064e-08, + "loss": 0.8044, + "step": 41181 + }, + { + "epoch": 0.97, + "grad_norm": 1.685171823709823, + "learning_rate": 4.6475415606049845e-08, + "loss": 0.9886, + "step": 41182 + }, + { + "epoch": 0.97, + "grad_norm": 1.641180358602358, + "learning_rate": 4.640196454649637e-08, + "loss": 0.927, + "step": 41183 + }, + { + "epoch": 0.97, + "grad_norm": 1.4716168845387856, + "learning_rate": 4.632857143994196e-08, + "loss": 0.8204, + "step": 41184 + }, + { + "epoch": 0.97, + "grad_norm": 1.8077292072074191, + "learning_rate": 4.625523628681405e-08, + "loss": 0.7439, + "step": 41185 + }, + { + "epoch": 0.97, + "grad_norm": 1.9151169354033255, + "learning_rate": 4.6181959087538975e-08, + "loss": 0.8615, + "step": 41186 + }, + { + "epoch": 0.97, + "grad_norm": 1.4789341531600262, + "learning_rate": 4.610873984254416e-08, + "loss": 0.8482, + "step": 41187 + }, + { + "epoch": 0.97, + "grad_norm": 1.6921932694679862, + "learning_rate": 4.603557855225482e-08, + "loss": 0.7638, + "step": 41188 + }, + { + "epoch": 0.97, + "grad_norm": 2.002160381340914, + "learning_rate": 4.59624752170984e-08, + "loss": 0.8456, + "step": 41189 + }, + { + "epoch": 0.97, + "grad_norm": 0.7307096983939929, + "learning_rate": 4.588942983750011e-08, + "loss": 0.6397, + "step": 41190 + }, + { + "epoch": 0.97, + "grad_norm": 1.5379763791634835, + "learning_rate": 4.5816442413884055e-08, + "loss": 0.853, + "step": 41191 + }, + { + "epoch": 0.97, + "grad_norm": 1.637283713789487, + "learning_rate": 4.574351294667656e-08, + "loss": 0.8822, + "step": 41192 + }, + { + "epoch": 0.97, + "grad_norm": 1.8005088990959541, + "learning_rate": 4.5670641436301735e-08, + "loss": 0.7393, + "step": 41193 + }, + { + "epoch": 0.97, + "grad_norm": 1.6512831719991459, + "learning_rate": 4.559782788318479e-08, + "loss": 0.8579, + "step": 41194 + }, + { + "epoch": 0.97, + "grad_norm": 1.9895835608523371, + "learning_rate": 4.552507228774761e-08, + "loss": 0.7026, + "step": 41195 + }, + { + "epoch": 0.97, + "grad_norm": 3.197679430302863, + "learning_rate": 4.545237465041541e-08, + "loss": 0.9151, + "step": 41196 + }, + { + "epoch": 0.97, + "grad_norm": 1.7454292985243642, + "learning_rate": 4.5379734971611186e-08, + "loss": 0.7991, + "step": 41197 + }, + { + "epoch": 0.97, + "grad_norm": 1.5309250122794051, + "learning_rate": 4.530715325175794e-08, + "loss": 0.7738, + "step": 41198 + }, + { + "epoch": 0.97, + "grad_norm": 1.672680563518362, + "learning_rate": 4.5234629491277546e-08, + "loss": 0.7227, + "step": 41199 + }, + { + "epoch": 0.97, + "grad_norm": 1.7833938743385456, + "learning_rate": 4.516216369059301e-08, + "loss": 0.8764, + "step": 41200 + }, + { + "epoch": 0.97, + "grad_norm": 1.8516599154762658, + "learning_rate": 4.5089755850126206e-08, + "loss": 0.9983, + "step": 41201 + }, + { + "epoch": 0.97, + "grad_norm": 1.8855214639999085, + "learning_rate": 4.501740597029791e-08, + "loss": 0.9206, + "step": 41202 + }, + { + "epoch": 0.97, + "grad_norm": 1.795647367730506, + "learning_rate": 4.494511405153002e-08, + "loss": 0.7886, + "step": 41203 + }, + { + "epoch": 0.97, + "grad_norm": 1.7546641901239162, + "learning_rate": 4.4872880094244395e-08, + "loss": 0.8699, + "step": 41204 + }, + { + "epoch": 0.97, + "grad_norm": 1.9286519228230115, + "learning_rate": 4.4800704098859614e-08, + "loss": 0.7536, + "step": 41205 + }, + { + "epoch": 0.97, + "grad_norm": 0.8421900015446167, + "learning_rate": 4.472858606579755e-08, + "loss": 0.7347, + "step": 41206 + }, + { + "epoch": 0.97, + "grad_norm": 1.5652799040500815, + "learning_rate": 4.465652599547676e-08, + "loss": 0.8479, + "step": 41207 + }, + { + "epoch": 0.97, + "grad_norm": 2.4929989118789875, + "learning_rate": 4.4584523888318023e-08, + "loss": 0.6896, + "step": 41208 + }, + { + "epoch": 0.97, + "grad_norm": 1.9146201213717473, + "learning_rate": 4.451257974473988e-08, + "loss": 0.9871, + "step": 41209 + }, + { + "epoch": 0.97, + "grad_norm": 1.8179451056345928, + "learning_rate": 4.4440693565160895e-08, + "loss": 0.8647, + "step": 41210 + }, + { + "epoch": 0.97, + "grad_norm": 1.6617332259554716, + "learning_rate": 4.4368865350000736e-08, + "loss": 0.8819, + "step": 41211 + }, + { + "epoch": 0.97, + "grad_norm": 1.6274706546104887, + "learning_rate": 4.4297095099676836e-08, + "loss": 0.8338, + "step": 41212 + }, + { + "epoch": 0.97, + "grad_norm": 1.5573140471383649, + "learning_rate": 4.4225382814606643e-08, + "loss": 0.8402, + "step": 41213 + }, + { + "epoch": 0.97, + "grad_norm": 1.5282511627683866, + "learning_rate": 4.415372849520871e-08, + "loss": 0.644, + "step": 41214 + }, + { + "epoch": 0.97, + "grad_norm": 1.4966508048343532, + "learning_rate": 4.408213214189938e-08, + "loss": 0.8207, + "step": 41215 + }, + { + "epoch": 0.97, + "grad_norm": 1.5528934850646678, + "learning_rate": 4.4010593755096086e-08, + "loss": 0.8675, + "step": 41216 + }, + { + "epoch": 0.97, + "grad_norm": 1.500109529217766, + "learning_rate": 4.393911333521517e-08, + "loss": 0.7167, + "step": 41217 + }, + { + "epoch": 0.97, + "grad_norm": 1.5095985986498515, + "learning_rate": 4.386769088267295e-08, + "loss": 0.8962, + "step": 41218 + }, + { + "epoch": 0.97, + "grad_norm": 1.6612806062418788, + "learning_rate": 4.379632639788467e-08, + "loss": 0.8591, + "step": 41219 + }, + { + "epoch": 0.97, + "grad_norm": 1.6533274521211632, + "learning_rate": 4.372501988126665e-08, + "loss": 0.8796, + "step": 41220 + }, + { + "epoch": 0.97, + "grad_norm": 1.4134885174997305, + "learning_rate": 4.365377133323301e-08, + "loss": 0.7751, + "step": 41221 + }, + { + "epoch": 0.97, + "grad_norm": 0.8403722945390489, + "learning_rate": 4.3582580754200074e-08, + "loss": 0.7291, + "step": 41222 + }, + { + "epoch": 0.97, + "grad_norm": 1.4432375042065102, + "learning_rate": 4.3511448144580857e-08, + "loss": 0.6959, + "step": 41223 + }, + { + "epoch": 0.97, + "grad_norm": 2.0562609521510677, + "learning_rate": 4.3440373504790576e-08, + "loss": 0.8219, + "step": 41224 + }, + { + "epoch": 0.97, + "grad_norm": 1.6455798177217984, + "learning_rate": 4.336935683524224e-08, + "loss": 0.885, + "step": 41225 + }, + { + "epoch": 0.97, + "grad_norm": 1.7152845536524788, + "learning_rate": 4.3298398136349954e-08, + "loss": 0.8742, + "step": 41226 + }, + { + "epoch": 0.97, + "grad_norm": 1.6213364015942022, + "learning_rate": 4.322749740852672e-08, + "loss": 0.7387, + "step": 41227 + }, + { + "epoch": 0.97, + "grad_norm": 1.8733331555494355, + "learning_rate": 4.315665465218555e-08, + "loss": 0.816, + "step": 41228 + }, + { + "epoch": 0.97, + "grad_norm": 1.7813060633969195, + "learning_rate": 4.308586986773833e-08, + "loss": 0.9461, + "step": 41229 + }, + { + "epoch": 0.97, + "grad_norm": 0.7561642376174481, + "learning_rate": 4.3015143055596954e-08, + "loss": 0.7258, + "step": 41230 + }, + { + "epoch": 0.97, + "grad_norm": 1.6911201629658634, + "learning_rate": 4.2944474216174425e-08, + "loss": 0.9301, + "step": 41231 + }, + { + "epoch": 0.97, + "grad_norm": 1.495802571844526, + "learning_rate": 4.287386334988153e-08, + "loss": 0.7881, + "step": 41232 + }, + { + "epoch": 0.97, + "grad_norm": 1.6025197435411154, + "learning_rate": 4.2803310457129046e-08, + "loss": 0.8415, + "step": 41233 + }, + { + "epoch": 0.97, + "grad_norm": 1.7687613145300285, + "learning_rate": 4.273281553832775e-08, + "loss": 0.7482, + "step": 41234 + }, + { + "epoch": 0.97, + "grad_norm": 1.6810451089252714, + "learning_rate": 4.266237859388955e-08, + "loss": 0.792, + "step": 41235 + }, + { + "epoch": 0.97, + "grad_norm": 1.561846914690639, + "learning_rate": 4.2591999624223e-08, + "loss": 0.7774, + "step": 41236 + }, + { + "epoch": 0.97, + "grad_norm": 1.4865688380554123, + "learning_rate": 4.2521678629737774e-08, + "loss": 0.7423, + "step": 41237 + }, + { + "epoch": 0.97, + "grad_norm": 0.7679342927118351, + "learning_rate": 4.245141561084354e-08, + "loss": 0.6875, + "step": 41238 + }, + { + "epoch": 0.97, + "grad_norm": 1.640871573904555, + "learning_rate": 4.238121056794997e-08, + "loss": 0.7382, + "step": 41239 + }, + { + "epoch": 0.97, + "grad_norm": 1.8949806731691936, + "learning_rate": 4.231106350146563e-08, + "loss": 0.8483, + "step": 41240 + }, + { + "epoch": 0.97, + "grad_norm": 7.127800964288928, + "learning_rate": 4.224097441179908e-08, + "loss": 0.7876, + "step": 41241 + }, + { + "epoch": 0.97, + "grad_norm": 1.6134710436935435, + "learning_rate": 4.217094329935778e-08, + "loss": 0.7943, + "step": 41242 + }, + { + "epoch": 0.97, + "grad_norm": 1.6243426708413975, + "learning_rate": 4.210097016455028e-08, + "loss": 0.8383, + "step": 41243 + }, + { + "epoch": 0.97, + "grad_norm": 1.6092374268529959, + "learning_rate": 4.2031055007784036e-08, + "loss": 0.7055, + "step": 41244 + }, + { + "epoch": 0.97, + "grad_norm": 1.5597614756095965, + "learning_rate": 4.196119782946429e-08, + "loss": 0.8065, + "step": 41245 + }, + { + "epoch": 0.97, + "grad_norm": 1.826562711607949, + "learning_rate": 4.1891398629999583e-08, + "loss": 0.7837, + "step": 41246 + }, + { + "epoch": 0.97, + "grad_norm": 2.0344534048176834, + "learning_rate": 4.182165740979627e-08, + "loss": 0.9193, + "step": 41247 + }, + { + "epoch": 0.97, + "grad_norm": 1.7626643189349829, + "learning_rate": 4.175197416925958e-08, + "loss": 0.7836, + "step": 41248 + }, + { + "epoch": 0.97, + "grad_norm": 1.6651698185424533, + "learning_rate": 4.168234890879586e-08, + "loss": 0.9542, + "step": 41249 + }, + { + "epoch": 0.97, + "grad_norm": 1.4573879953157367, + "learning_rate": 4.161278162881033e-08, + "loss": 0.7456, + "step": 41250 + }, + { + "epoch": 0.97, + "grad_norm": 1.4430571609184002, + "learning_rate": 4.1543272329707116e-08, + "loss": 0.838, + "step": 41251 + }, + { + "epoch": 0.97, + "grad_norm": 1.637430695049814, + "learning_rate": 4.1473821011892565e-08, + "loss": 0.9169, + "step": 41252 + }, + { + "epoch": 0.97, + "grad_norm": 0.7064293365693887, + "learning_rate": 4.14044276757708e-08, + "loss": 0.6622, + "step": 41253 + }, + { + "epoch": 0.97, + "grad_norm": 1.7383165654770036, + "learning_rate": 4.133509232174482e-08, + "loss": 0.8524, + "step": 41254 + }, + { + "epoch": 0.97, + "grad_norm": 1.5574762321501934, + "learning_rate": 4.126581495021764e-08, + "loss": 0.8985, + "step": 41255 + }, + { + "epoch": 0.97, + "grad_norm": 1.3930272171386073, + "learning_rate": 4.119659556159561e-08, + "loss": 0.6872, + "step": 41256 + }, + { + "epoch": 0.97, + "grad_norm": 2.089825094219969, + "learning_rate": 4.11274341562784e-08, + "loss": 0.7478, + "step": 41257 + }, + { + "epoch": 0.97, + "grad_norm": 2.3880396249019884, + "learning_rate": 4.105833073467125e-08, + "loss": 0.7909, + "step": 41258 + }, + { + "epoch": 0.97, + "grad_norm": 1.6834674117803394, + "learning_rate": 4.0989285297174944e-08, + "loss": 0.9532, + "step": 41259 + }, + { + "epoch": 0.97, + "grad_norm": 1.6971889017995874, + "learning_rate": 4.092029784419138e-08, + "loss": 0.7709, + "step": 41260 + }, + { + "epoch": 0.97, + "grad_norm": 1.6060426228156912, + "learning_rate": 4.085136837612358e-08, + "loss": 0.777, + "step": 41261 + }, + { + "epoch": 0.97, + "grad_norm": 1.6740667269300642, + "learning_rate": 4.0782496893372327e-08, + "loss": 0.8539, + "step": 41262 + }, + { + "epoch": 0.97, + "grad_norm": 1.5978504271451355, + "learning_rate": 4.071368339633841e-08, + "loss": 0.8544, + "step": 41263 + }, + { + "epoch": 0.97, + "grad_norm": 1.6973026115596952, + "learning_rate": 4.064492788542152e-08, + "loss": 0.7858, + "step": 41264 + }, + { + "epoch": 0.97, + "grad_norm": 2.0622428682593683, + "learning_rate": 4.057623036102465e-08, + "loss": 0.7555, + "step": 41265 + }, + { + "epoch": 0.97, + "grad_norm": 1.7274393529457623, + "learning_rate": 4.0507590823544164e-08, + "loss": 0.8402, + "step": 41266 + }, + { + "epoch": 0.97, + "grad_norm": 1.6302596090452255, + "learning_rate": 4.043900927338307e-08, + "loss": 0.7891, + "step": 41267 + }, + { + "epoch": 0.97, + "grad_norm": 1.5936002200941695, + "learning_rate": 4.037048571093771e-08, + "loss": 0.9111, + "step": 41268 + }, + { + "epoch": 0.97, + "grad_norm": 1.7032750193090036, + "learning_rate": 4.0302020136609995e-08, + "loss": 0.8425, + "step": 41269 + }, + { + "epoch": 0.97, + "grad_norm": 1.7826088189699447, + "learning_rate": 4.0233612550796273e-08, + "loss": 0.7104, + "step": 41270 + }, + { + "epoch": 0.97, + "grad_norm": 1.5824008989579998, + "learning_rate": 4.0165262953896225e-08, + "loss": 0.8886, + "step": 41271 + }, + { + "epoch": 0.97, + "grad_norm": 0.7889935895586232, + "learning_rate": 4.00969713463073e-08, + "loss": 0.6473, + "step": 41272 + }, + { + "epoch": 0.97, + "grad_norm": 2.295303724383056, + "learning_rate": 4.002873772842586e-08, + "loss": 0.9745, + "step": 41273 + }, + { + "epoch": 0.97, + "grad_norm": 1.8210522995869791, + "learning_rate": 3.996056210065158e-08, + "loss": 0.7827, + "step": 41274 + }, + { + "epoch": 0.97, + "grad_norm": 1.713629023973177, + "learning_rate": 3.989244446338081e-08, + "loss": 0.9421, + "step": 41275 + }, + { + "epoch": 0.97, + "grad_norm": 1.848975289846571, + "learning_rate": 3.982438481700768e-08, + "loss": 0.9507, + "step": 41276 + }, + { + "epoch": 0.97, + "grad_norm": 1.509067390095068, + "learning_rate": 3.975638316193076e-08, + "loss": 0.7816, + "step": 41277 + }, + { + "epoch": 0.97, + "grad_norm": 1.4544048139021601, + "learning_rate": 3.96884394985475e-08, + "loss": 0.8029, + "step": 41278 + }, + { + "epoch": 0.97, + "grad_norm": 1.9273575641689238, + "learning_rate": 3.962055382724983e-08, + "loss": 0.9193, + "step": 41279 + }, + { + "epoch": 0.97, + "grad_norm": 1.5408538557166915, + "learning_rate": 3.955272614843408e-08, + "loss": 0.7917, + "step": 41280 + }, + { + "epoch": 0.97, + "grad_norm": 1.6323503930917111, + "learning_rate": 3.948495646249662e-08, + "loss": 0.7215, + "step": 41281 + }, + { + "epoch": 0.97, + "grad_norm": 1.6537506298656846, + "learning_rate": 3.941724476983155e-08, + "loss": 0.7439, + "step": 41282 + }, + { + "epoch": 0.97, + "grad_norm": 1.3680302887146454, + "learning_rate": 3.934959107083303e-08, + "loss": 0.8022, + "step": 41283 + }, + { + "epoch": 0.97, + "grad_norm": 0.7451975828760475, + "learning_rate": 3.9281995365892944e-08, + "loss": 0.7231, + "step": 41284 + }, + { + "epoch": 0.97, + "grad_norm": 1.603422490981674, + "learning_rate": 3.921445765540877e-08, + "loss": 0.7331, + "step": 41285 + }, + { + "epoch": 0.97, + "grad_norm": 1.6630243757699794, + "learning_rate": 3.914697793977018e-08, + "loss": 0.7618, + "step": 41286 + }, + { + "epoch": 0.97, + "grad_norm": 1.6511132341216261, + "learning_rate": 3.9079556219371317e-08, + "loss": 0.8438, + "step": 41287 + }, + { + "epoch": 0.97, + "grad_norm": 1.8029284726302437, + "learning_rate": 3.9012192494605197e-08, + "loss": 0.8681, + "step": 41288 + }, + { + "epoch": 0.97, + "grad_norm": 1.7565218775203195, + "learning_rate": 3.894488676586372e-08, + "loss": 0.7738, + "step": 41289 + }, + { + "epoch": 0.97, + "grad_norm": 1.7178278049197955, + "learning_rate": 3.8877639033538805e-08, + "loss": 0.7987, + "step": 41290 + }, + { + "epoch": 0.97, + "grad_norm": 1.841734317029878, + "learning_rate": 3.881044929802236e-08, + "loss": 0.7916, + "step": 41291 + }, + { + "epoch": 0.97, + "grad_norm": 1.6533989338043575, + "learning_rate": 3.8743317559705174e-08, + "loss": 0.8755, + "step": 41292 + }, + { + "epoch": 0.97, + "grad_norm": 1.5635042809829582, + "learning_rate": 3.867624381897694e-08, + "loss": 0.7189, + "step": 41293 + }, + { + "epoch": 0.97, + "grad_norm": 1.7233015276810888, + "learning_rate": 3.8609228076229576e-08, + "loss": 0.8018, + "step": 41294 + }, + { + "epoch": 0.97, + "grad_norm": 2.0707828434489035, + "learning_rate": 3.854227033185387e-08, + "loss": 0.8372, + "step": 41295 + }, + { + "epoch": 0.97, + "grad_norm": 1.6825615536873626, + "learning_rate": 3.84753705862384e-08, + "loss": 0.6306, + "step": 41296 + }, + { + "epoch": 0.97, + "grad_norm": 2.170799031876969, + "learning_rate": 3.840852883977286e-08, + "loss": 0.8187, + "step": 41297 + }, + { + "epoch": 0.97, + "grad_norm": 1.4841073753121394, + "learning_rate": 3.8341745092846936e-08, + "loss": 0.9493, + "step": 41298 + }, + { + "epoch": 0.97, + "grad_norm": 1.5357127665906618, + "learning_rate": 3.827501934584921e-08, + "loss": 0.8004, + "step": 41299 + }, + { + "epoch": 0.97, + "grad_norm": 1.5395148254482385, + "learning_rate": 3.8208351599167135e-08, + "loss": 0.7992, + "step": 41300 + }, + { + "epoch": 0.97, + "grad_norm": 1.605338286936358, + "learning_rate": 3.814174185319153e-08, + "loss": 0.8342, + "step": 41301 + }, + { + "epoch": 0.97, + "grad_norm": 1.6197102945002535, + "learning_rate": 3.8075190108307624e-08, + "loss": 0.7868, + "step": 41302 + }, + { + "epoch": 0.97, + "grad_norm": 1.7280959350568408, + "learning_rate": 3.8008696364904006e-08, + "loss": 0.7694, + "step": 41303 + }, + { + "epoch": 0.97, + "grad_norm": 1.536947388683971, + "learning_rate": 3.7942260623367035e-08, + "loss": 0.8144, + "step": 41304 + }, + { + "epoch": 0.97, + "grad_norm": 0.8495961075875925, + "learning_rate": 3.787588288408528e-08, + "loss": 0.6665, + "step": 41305 + }, + { + "epoch": 0.97, + "grad_norm": 1.7598627721010376, + "learning_rate": 3.7809563147443993e-08, + "loss": 0.8181, + "step": 41306 + }, + { + "epoch": 0.97, + "grad_norm": 1.5712637600504813, + "learning_rate": 3.7743301413828424e-08, + "loss": 0.7788, + "step": 41307 + }, + { + "epoch": 0.97, + "grad_norm": 0.7902799181601797, + "learning_rate": 3.767709768362604e-08, + "loss": 0.7292, + "step": 41308 + }, + { + "epoch": 0.97, + "grad_norm": 1.460547448962806, + "learning_rate": 3.7610951957220975e-08, + "loss": 0.8509, + "step": 41309 + }, + { + "epoch": 0.97, + "grad_norm": 2.1491057053373126, + "learning_rate": 3.754486423499959e-08, + "loss": 0.8817, + "step": 41310 + }, + { + "epoch": 0.97, + "grad_norm": 0.7750666349314251, + "learning_rate": 3.747883451734602e-08, + "loss": 0.7235, + "step": 41311 + }, + { + "epoch": 0.97, + "grad_norm": 2.5352595584262776, + "learning_rate": 3.7412862804645514e-08, + "loss": 0.9201, + "step": 41312 + }, + { + "epoch": 0.97, + "grad_norm": 1.6303070092680596, + "learning_rate": 3.7346949097279984e-08, + "loss": 0.8174, + "step": 41313 + }, + { + "epoch": 0.97, + "grad_norm": 1.5448558341664071, + "learning_rate": 3.728109339563579e-08, + "loss": 0.8802, + "step": 41314 + }, + { + "epoch": 0.97, + "grad_norm": 2.2224659214049587, + "learning_rate": 3.721529570009486e-08, + "loss": 0.8684, + "step": 41315 + }, + { + "epoch": 0.97, + "grad_norm": 1.9309588855199766, + "learning_rate": 3.71495560110402e-08, + "loss": 0.8987, + "step": 41316 + }, + { + "epoch": 0.97, + "grad_norm": 1.6592848377597103, + "learning_rate": 3.7083874328855965e-08, + "loss": 0.8715, + "step": 41317 + }, + { + "epoch": 0.97, + "grad_norm": 2.008107947778199, + "learning_rate": 3.701825065392184e-08, + "loss": 0.9806, + "step": 41318 + }, + { + "epoch": 0.97, + "grad_norm": 1.607126900162198, + "learning_rate": 3.6952684986623076e-08, + "loss": 0.8397, + "step": 41319 + }, + { + "epoch": 0.97, + "grad_norm": 1.7678981981879538, + "learning_rate": 3.6887177327340486e-08, + "loss": 0.7663, + "step": 41320 + }, + { + "epoch": 0.97, + "grad_norm": 1.6029184753920716, + "learning_rate": 3.682172767645375e-08, + "loss": 0.7707, + "step": 41321 + }, + { + "epoch": 0.97, + "grad_norm": 1.418685077801361, + "learning_rate": 3.675633603434592e-08, + "loss": 0.7822, + "step": 41322 + }, + { + "epoch": 0.97, + "grad_norm": 1.475912358756703, + "learning_rate": 3.6691002401396666e-08, + "loss": 0.7801, + "step": 41323 + }, + { + "epoch": 0.97, + "grad_norm": 1.5545737374716149, + "learning_rate": 3.662572677798682e-08, + "loss": 0.7648, + "step": 41324 + }, + { + "epoch": 0.97, + "grad_norm": 1.5101549651763158, + "learning_rate": 3.656050916449716e-08, + "loss": 1.0428, + "step": 41325 + }, + { + "epoch": 0.97, + "grad_norm": 1.6311523950728706, + "learning_rate": 3.649534956130518e-08, + "loss": 0.8237, + "step": 41326 + }, + { + "epoch": 0.97, + "grad_norm": 1.4186708918384239, + "learning_rate": 3.64302479687928e-08, + "loss": 0.7937, + "step": 41327 + }, + { + "epoch": 0.97, + "grad_norm": 0.7886851363374364, + "learning_rate": 3.636520438733748e-08, + "loss": 0.6362, + "step": 41328 + }, + { + "epoch": 0.97, + "grad_norm": 1.4954809738873134, + "learning_rate": 3.6300218817317825e-08, + "loss": 0.8174, + "step": 41329 + }, + { + "epoch": 0.97, + "grad_norm": 1.4788578634684624, + "learning_rate": 3.6235291259113516e-08, + "loss": 0.6627, + "step": 41330 + }, + { + "epoch": 0.97, + "grad_norm": 1.6361132135144631, + "learning_rate": 3.6170421713102034e-08, + "loss": 0.8055, + "step": 41331 + }, + { + "epoch": 0.97, + "grad_norm": 1.5688407603503207, + "learning_rate": 3.6105610179659745e-08, + "loss": 0.8732, + "step": 41332 + }, + { + "epoch": 0.97, + "grad_norm": 1.8487346416333803, + "learning_rate": 3.6040856659166345e-08, + "loss": 0.7976, + "step": 41333 + }, + { + "epoch": 0.97, + "grad_norm": 1.661288110749146, + "learning_rate": 3.597616115199709e-08, + "loss": 0.8669, + "step": 41334 + }, + { + "epoch": 0.97, + "grad_norm": 1.6367988126210467, + "learning_rate": 3.5911523658528347e-08, + "loss": 0.786, + "step": 41335 + }, + { + "epoch": 0.97, + "grad_norm": 2.4325541226952003, + "learning_rate": 3.58469441791387e-08, + "loss": 0.7385, + "step": 41336 + }, + { + "epoch": 0.97, + "grad_norm": 2.2161707596256313, + "learning_rate": 3.578242271420229e-08, + "loss": 0.7374, + "step": 41337 + }, + { + "epoch": 0.97, + "grad_norm": 1.7513717101380002, + "learning_rate": 3.571795926409549e-08, + "loss": 0.8726, + "step": 41338 + }, + { + "epoch": 0.97, + "grad_norm": 0.7626668274540104, + "learning_rate": 3.5653553829192444e-08, + "loss": 0.7086, + "step": 41339 + }, + { + "epoch": 0.97, + "grad_norm": 1.6188895296099288, + "learning_rate": 3.558920640986952e-08, + "loss": 0.7376, + "step": 41340 + }, + { + "epoch": 0.97, + "grad_norm": 1.7051724314998093, + "learning_rate": 3.5524917006500844e-08, + "loss": 0.8625, + "step": 41341 + }, + { + "epoch": 0.97, + "grad_norm": 1.6375981315650718, + "learning_rate": 3.546068561946059e-08, + "loss": 0.7549, + "step": 41342 + }, + { + "epoch": 0.97, + "grad_norm": 1.5627990104815892, + "learning_rate": 3.5396512249123996e-08, + "loss": 0.8065, + "step": 41343 + }, + { + "epoch": 0.97, + "grad_norm": 1.6192816958586982, + "learning_rate": 3.533239689586188e-08, + "loss": 0.8811, + "step": 41344 + }, + { + "epoch": 0.97, + "grad_norm": 1.7356197644368956, + "learning_rate": 3.52683395600506e-08, + "loss": 0.8831, + "step": 41345 + }, + { + "epoch": 0.97, + "grad_norm": 1.4857431816944862, + "learning_rate": 3.5204340242062096e-08, + "loss": 0.8566, + "step": 41346 + }, + { + "epoch": 0.97, + "grad_norm": 1.428756907260328, + "learning_rate": 3.5140398942268286e-08, + "loss": 0.808, + "step": 41347 + }, + { + "epoch": 0.97, + "grad_norm": 1.5991042267659676, + "learning_rate": 3.50765156610422e-08, + "loss": 0.8422, + "step": 41348 + }, + { + "epoch": 0.97, + "grad_norm": 1.516587573900852, + "learning_rate": 3.5012690398754654e-08, + "loss": 0.9087, + "step": 41349 + }, + { + "epoch": 0.97, + "grad_norm": 1.4118779760239604, + "learning_rate": 3.494892315577869e-08, + "loss": 0.7019, + "step": 41350 + }, + { + "epoch": 0.97, + "grad_norm": 1.7105862870277209, + "learning_rate": 3.488521393248401e-08, + "loss": 0.8306, + "step": 41351 + }, + { + "epoch": 0.97, + "grad_norm": 1.6656697043821653, + "learning_rate": 3.4821562729243644e-08, + "loss": 0.7222, + "step": 41352 + }, + { + "epoch": 0.97, + "grad_norm": 1.612171570085174, + "learning_rate": 3.475796954642729e-08, + "loss": 0.8824, + "step": 41353 + }, + { + "epoch": 0.97, + "grad_norm": 1.5130127596181517, + "learning_rate": 3.469443438440467e-08, + "loss": 0.7415, + "step": 41354 + }, + { + "epoch": 0.97, + "grad_norm": 1.422130946859379, + "learning_rate": 3.463095724354548e-08, + "loss": 0.8852, + "step": 41355 + }, + { + "epoch": 0.97, + "grad_norm": 1.523896118321193, + "learning_rate": 3.456753812421943e-08, + "loss": 0.8484, + "step": 41356 + }, + { + "epoch": 0.97, + "grad_norm": 1.6350139404012598, + "learning_rate": 3.450417702679731e-08, + "loss": 0.7486, + "step": 41357 + }, + { + "epoch": 0.97, + "grad_norm": 1.5302036514220678, + "learning_rate": 3.444087395164664e-08, + "loss": 0.6737, + "step": 41358 + }, + { + "epoch": 0.97, + "grad_norm": 1.6594729849443461, + "learning_rate": 3.437762889913598e-08, + "loss": 0.8254, + "step": 41359 + }, + { + "epoch": 0.97, + "grad_norm": 1.540930706287381, + "learning_rate": 3.4314441869633954e-08, + "loss": 0.8255, + "step": 41360 + }, + { + "epoch": 0.97, + "grad_norm": 1.5262346934756086, + "learning_rate": 3.425131286350802e-08, + "loss": 0.9654, + "step": 41361 + }, + { + "epoch": 0.97, + "grad_norm": 1.7237651694435043, + "learning_rate": 3.418824188112679e-08, + "loss": 0.781, + "step": 41362 + }, + { + "epoch": 0.97, + "grad_norm": 0.7835839464327824, + "learning_rate": 3.412522892285663e-08, + "loss": 0.6889, + "step": 41363 + }, + { + "epoch": 0.97, + "grad_norm": 0.7681547999103941, + "learning_rate": 3.4062273989063923e-08, + "loss": 0.7418, + "step": 41364 + }, + { + "epoch": 0.97, + "grad_norm": 1.4503051194047438, + "learning_rate": 3.3999377080115026e-08, + "loss": 0.7917, + "step": 41365 + }, + { + "epoch": 0.97, + "grad_norm": 1.6587911134192548, + "learning_rate": 3.393653819637854e-08, + "loss": 0.9536, + "step": 41366 + }, + { + "epoch": 0.97, + "grad_norm": 1.453984724396006, + "learning_rate": 3.387375733821863e-08, + "loss": 0.7876, + "step": 41367 + }, + { + "epoch": 0.97, + "grad_norm": 1.5303952685571456, + "learning_rate": 3.381103450600054e-08, + "loss": 0.6555, + "step": 41368 + }, + { + "epoch": 0.97, + "grad_norm": 1.396672679532365, + "learning_rate": 3.3748369700089547e-08, + "loss": 0.7988, + "step": 41369 + }, + { + "epoch": 0.97, + "grad_norm": 1.514426476270653, + "learning_rate": 3.368576292085091e-08, + "loss": 0.8781, + "step": 41370 + }, + { + "epoch": 0.97, + "grad_norm": 1.5572635011034006, + "learning_rate": 3.362321416864878e-08, + "loss": 0.876, + "step": 41371 + }, + { + "epoch": 0.97, + "grad_norm": 1.5769310114338901, + "learning_rate": 3.356072344384842e-08, + "loss": 1.0127, + "step": 41372 + }, + { + "epoch": 0.97, + "grad_norm": 1.7667852073529184, + "learning_rate": 3.3498290746812876e-08, + "loss": 0.8404, + "step": 41373 + }, + { + "epoch": 0.97, + "grad_norm": 1.4586249926467334, + "learning_rate": 3.3435916077905196e-08, + "loss": 0.848, + "step": 41374 + }, + { + "epoch": 0.97, + "grad_norm": 2.2291495859870873, + "learning_rate": 3.3373599437488414e-08, + "loss": 0.7276, + "step": 41375 + }, + { + "epoch": 0.97, + "grad_norm": 1.5915117290878573, + "learning_rate": 3.331134082592669e-08, + "loss": 0.8321, + "step": 41376 + }, + { + "epoch": 0.97, + "grad_norm": 1.6800823610431321, + "learning_rate": 3.3249140243581947e-08, + "loss": 0.8003, + "step": 41377 + }, + { + "epoch": 0.97, + "grad_norm": 1.7353493287163881, + "learning_rate": 3.318699769081501e-08, + "loss": 0.8591, + "step": 41378 + }, + { + "epoch": 0.97, + "grad_norm": 2.209124005824355, + "learning_rate": 3.312491316798894e-08, + "loss": 0.8967, + "step": 41379 + }, + { + "epoch": 0.97, + "grad_norm": 1.5513742972935274, + "learning_rate": 3.3062886675466754e-08, + "loss": 0.8494, + "step": 41380 + }, + { + "epoch": 0.97, + "grad_norm": 1.8912848925800607, + "learning_rate": 3.300091821360596e-08, + "loss": 0.8319, + "step": 41381 + }, + { + "epoch": 0.97, + "grad_norm": 1.6242037252351749, + "learning_rate": 3.29390077827707e-08, + "loss": 0.893, + "step": 41382 + }, + { + "epoch": 0.97, + "grad_norm": 1.4683213360796203, + "learning_rate": 3.287715538331959e-08, + "loss": 0.8296, + "step": 41383 + }, + { + "epoch": 0.97, + "grad_norm": 1.624855411343558, + "learning_rate": 3.281536101561233e-08, + "loss": 0.8695, + "step": 41384 + }, + { + "epoch": 0.97, + "grad_norm": 0.7252553053185105, + "learning_rate": 3.2753624680010864e-08, + "loss": 0.7067, + "step": 41385 + }, + { + "epoch": 0.98, + "grad_norm": 1.495314401629862, + "learning_rate": 3.2691946376872674e-08, + "loss": 0.7834, + "step": 41386 + }, + { + "epoch": 0.98, + "grad_norm": 1.533156358710257, + "learning_rate": 3.2630326106558584e-08, + "loss": 0.8448, + "step": 41387 + }, + { + "epoch": 0.98, + "grad_norm": 0.8116563734630192, + "learning_rate": 3.256876386942498e-08, + "loss": 0.7325, + "step": 41388 + }, + { + "epoch": 0.98, + "grad_norm": 2.452911193686095, + "learning_rate": 3.250725966583268e-08, + "loss": 0.7234, + "step": 41389 + }, + { + "epoch": 0.98, + "grad_norm": 1.4357948220064212, + "learning_rate": 3.244581349613807e-08, + "loss": 0.8535, + "step": 41390 + }, + { + "epoch": 0.98, + "grad_norm": 1.88430885542271, + "learning_rate": 3.238442536069974e-08, + "loss": 0.813, + "step": 41391 + }, + { + "epoch": 0.98, + "grad_norm": 1.6453799004885825, + "learning_rate": 3.2323095259875205e-08, + "loss": 0.8706, + "step": 41392 + }, + { + "epoch": 0.98, + "grad_norm": 0.7596035412837042, + "learning_rate": 3.226182319402194e-08, + "loss": 0.7015, + "step": 41393 + }, + { + "epoch": 0.98, + "grad_norm": 1.4082739803882955, + "learning_rate": 3.220060916349521e-08, + "loss": 0.8833, + "step": 41394 + }, + { + "epoch": 0.98, + "grad_norm": 1.5375564090932918, + "learning_rate": 3.213945316865252e-08, + "loss": 0.7196, + "step": 41395 + }, + { + "epoch": 0.98, + "grad_norm": 1.6861657546870332, + "learning_rate": 3.2078355209849145e-08, + "loss": 0.7251, + "step": 41396 + }, + { + "epoch": 0.98, + "grad_norm": 1.567174299466258, + "learning_rate": 3.201731528744145e-08, + "loss": 0.8559, + "step": 41397 + }, + { + "epoch": 0.98, + "grad_norm": 1.7234841199867164, + "learning_rate": 3.195633340178583e-08, + "loss": 0.7838, + "step": 41398 + }, + { + "epoch": 0.98, + "grad_norm": 1.6969015815760262, + "learning_rate": 3.189540955323534e-08, + "loss": 0.9189, + "step": 41399 + }, + { + "epoch": 0.98, + "grad_norm": 1.3893790385199756, + "learning_rate": 3.183454374214634e-08, + "loss": 0.7681, + "step": 41400 + }, + { + "epoch": 0.98, + "grad_norm": 1.5874870432840686, + "learning_rate": 3.17737359688719e-08, + "loss": 0.6911, + "step": 41401 + }, + { + "epoch": 0.98, + "grad_norm": 1.4760379630056593, + "learning_rate": 3.1712986233767286e-08, + "loss": 0.8347, + "step": 41402 + }, + { + "epoch": 0.98, + "grad_norm": 1.6462417808244285, + "learning_rate": 3.1652294537184436e-08, + "loss": 0.8991, + "step": 41403 + }, + { + "epoch": 0.98, + "grad_norm": 1.7756935979177608, + "learning_rate": 3.1591660879478624e-08, + "loss": 0.9008, + "step": 41404 + }, + { + "epoch": 0.98, + "grad_norm": 1.5889093364735678, + "learning_rate": 3.153108526100179e-08, + "loss": 0.8669, + "step": 41405 + }, + { + "epoch": 0.98, + "grad_norm": 0.793864003147156, + "learning_rate": 3.147056768210699e-08, + "loss": 0.7283, + "step": 41406 + }, + { + "epoch": 0.98, + "grad_norm": 1.3757832391267306, + "learning_rate": 3.141010814314727e-08, + "loss": 0.7593, + "step": 41407 + }, + { + "epoch": 0.98, + "grad_norm": 1.845228128235252, + "learning_rate": 3.1349706644473454e-08, + "loss": 0.7948, + "step": 41408 + }, + { + "epoch": 0.98, + "grad_norm": 1.5584738263869633, + "learning_rate": 3.1289363186437494e-08, + "loss": 0.7659, + "step": 41409 + }, + { + "epoch": 0.98, + "grad_norm": 1.3571865143177138, + "learning_rate": 3.122907776939022e-08, + "loss": 0.7327, + "step": 41410 + }, + { + "epoch": 0.98, + "grad_norm": 1.6657899822414008, + "learning_rate": 3.1168850393684666e-08, + "loss": 0.8469, + "step": 41411 + }, + { + "epoch": 0.98, + "grad_norm": 0.7770339770769504, + "learning_rate": 3.1108681059669466e-08, + "loss": 0.6524, + "step": 41412 + }, + { + "epoch": 0.98, + "grad_norm": 1.8416833168289963, + "learning_rate": 3.1048569767695435e-08, + "loss": 0.9867, + "step": 41413 + }, + { + "epoch": 0.98, + "grad_norm": 1.7378209079807376, + "learning_rate": 3.098851651811341e-08, + "loss": 0.9176, + "step": 41414 + }, + { + "epoch": 0.98, + "grad_norm": 1.432107013457182, + "learning_rate": 3.0928521311271997e-08, + "loss": 0.8818, + "step": 41415 + }, + { + "epoch": 0.98, + "grad_norm": 1.62012899009284, + "learning_rate": 3.086858414752092e-08, + "loss": 0.8323, + "step": 41416 + }, + { + "epoch": 0.98, + "grad_norm": 1.6194445333065046, + "learning_rate": 3.0808705027208786e-08, + "loss": 0.8884, + "step": 41417 + }, + { + "epoch": 0.98, + "grad_norm": 1.6175869202841076, + "learning_rate": 3.07488839506842e-08, + "loss": 0.7822, + "step": 41418 + }, + { + "epoch": 0.98, + "grad_norm": 1.7033565503381347, + "learning_rate": 3.06891209182969e-08, + "loss": 0.8518, + "step": 41419 + }, + { + "epoch": 0.98, + "grad_norm": 1.6288646885231717, + "learning_rate": 3.062941593039326e-08, + "loss": 0.8828, + "step": 41420 + }, + { + "epoch": 0.98, + "grad_norm": 0.7008624430199729, + "learning_rate": 3.056976898732189e-08, + "loss": 0.6814, + "step": 41421 + }, + { + "epoch": 0.98, + "grad_norm": 1.996390927805562, + "learning_rate": 3.051018008942919e-08, + "loss": 0.8782, + "step": 41422 + }, + { + "epoch": 0.98, + "grad_norm": 1.5912092865331557, + "learning_rate": 3.045064923706265e-08, + "loss": 0.7386, + "step": 41423 + }, + { + "epoch": 0.98, + "grad_norm": 0.7760823088154425, + "learning_rate": 3.039117643056755e-08, + "loss": 0.7205, + "step": 41424 + }, + { + "epoch": 0.98, + "grad_norm": 0.8040497773233024, + "learning_rate": 3.0331761670292505e-08, + "loss": 0.7355, + "step": 41425 + }, + { + "epoch": 0.98, + "grad_norm": 1.6167654943361456, + "learning_rate": 3.027240495658279e-08, + "loss": 0.8755, + "step": 41426 + }, + { + "epoch": 0.98, + "grad_norm": 1.5593810793939047, + "learning_rate": 3.021310628978258e-08, + "loss": 0.8141, + "step": 41427 + }, + { + "epoch": 0.98, + "grad_norm": 1.7685707416140157, + "learning_rate": 3.015386567023826e-08, + "loss": 0.7444, + "step": 41428 + }, + { + "epoch": 0.98, + "grad_norm": 1.6437605227045877, + "learning_rate": 3.009468309829511e-08, + "loss": 0.8367, + "step": 41429 + }, + { + "epoch": 0.98, + "grad_norm": 1.8221714844425194, + "learning_rate": 3.003555857429619e-08, + "loss": 0.8558, + "step": 41430 + }, + { + "epoch": 0.98, + "grad_norm": 1.6742818691826398, + "learning_rate": 2.9976492098586775e-08, + "loss": 0.8944, + "step": 41431 + }, + { + "epoch": 0.98, + "grad_norm": 1.6960358086632605, + "learning_rate": 2.991748367151104e-08, + "loss": 0.8726, + "step": 41432 + }, + { + "epoch": 0.98, + "grad_norm": 1.6231136858232769, + "learning_rate": 2.985853329341315e-08, + "loss": 0.7585, + "step": 41433 + }, + { + "epoch": 0.98, + "grad_norm": 1.7011952856580717, + "learning_rate": 2.9799640964633946e-08, + "loss": 0.8752, + "step": 41434 + }, + { + "epoch": 0.98, + "grad_norm": 1.8980255807771187, + "learning_rate": 2.9740806685517597e-08, + "loss": 0.8571, + "step": 41435 + }, + { + "epoch": 0.98, + "grad_norm": 1.598248866876645, + "learning_rate": 2.9682030456408272e-08, + "loss": 0.9744, + "step": 41436 + }, + { + "epoch": 0.98, + "grad_norm": 0.7514838317335197, + "learning_rate": 2.96233122776457e-08, + "loss": 0.7129, + "step": 41437 + }, + { + "epoch": 0.98, + "grad_norm": 1.5623315109925064, + "learning_rate": 2.9564652149572938e-08, + "loss": 0.8162, + "step": 41438 + }, + { + "epoch": 0.98, + "grad_norm": 1.5270331032844549, + "learning_rate": 2.950605007253082e-08, + "loss": 0.8178, + "step": 41439 + }, + { + "epoch": 0.98, + "grad_norm": 1.4734225507458345, + "learning_rate": 2.9447506046862417e-08, + "loss": 0.8392, + "step": 41440 + }, + { + "epoch": 0.98, + "grad_norm": 1.448553886470413, + "learning_rate": 2.938902007290634e-08, + "loss": 0.7805, + "step": 41441 + }, + { + "epoch": 0.98, + "grad_norm": 1.4608276765652197, + "learning_rate": 2.9330592151003424e-08, + "loss": 0.9046, + "step": 41442 + }, + { + "epoch": 0.98, + "grad_norm": 1.529557155982922, + "learning_rate": 2.927222228149562e-08, + "loss": 0.8079, + "step": 41443 + }, + { + "epoch": 0.98, + "grad_norm": 2.971656402559501, + "learning_rate": 2.921391046472155e-08, + "loss": 0.8731, + "step": 41444 + }, + { + "epoch": 0.98, + "grad_norm": 1.6418647695873678, + "learning_rate": 2.915565670101983e-08, + "loss": 0.7596, + "step": 41445 + }, + { + "epoch": 0.98, + "grad_norm": 1.948020222455546, + "learning_rate": 2.9097460990731296e-08, + "loss": 0.6343, + "step": 41446 + }, + { + "epoch": 0.98, + "grad_norm": 1.7154007725897986, + "learning_rate": 2.9039323334193458e-08, + "loss": 0.7831, + "step": 41447 + }, + { + "epoch": 0.98, + "grad_norm": 1.7485639616509148, + "learning_rate": 2.8981243731746044e-08, + "loss": 0.8231, + "step": 41448 + }, + { + "epoch": 0.98, + "grad_norm": 1.5278021881568054, + "learning_rate": 2.8923222183726563e-08, + "loss": 0.9455, + "step": 41449 + }, + { + "epoch": 0.98, + "grad_norm": 1.7890051770637836, + "learning_rate": 2.886525869047363e-08, + "loss": 0.7299, + "step": 41450 + }, + { + "epoch": 0.98, + "grad_norm": 1.6567023147353424, + "learning_rate": 2.8807353252322533e-08, + "loss": 0.8698, + "step": 41451 + }, + { + "epoch": 0.98, + "grad_norm": 2.9963731366795425, + "learning_rate": 2.8749505869613003e-08, + "loss": 0.898, + "step": 41452 + }, + { + "epoch": 0.98, + "grad_norm": 1.698549055042238, + "learning_rate": 2.8691716542679215e-08, + "loss": 0.6855, + "step": 41453 + }, + { + "epoch": 0.98, + "grad_norm": 1.6532580053726156, + "learning_rate": 2.8633985271860898e-08, + "loss": 0.7752, + "step": 41454 + }, + { + "epoch": 0.98, + "grad_norm": 1.8884425549366348, + "learning_rate": 2.8576312057491118e-08, + "loss": 0.9029, + "step": 41455 + }, + { + "epoch": 0.98, + "grad_norm": 1.5144003656538632, + "learning_rate": 2.8518696899907382e-08, + "loss": 0.8131, + "step": 41456 + }, + { + "epoch": 0.98, + "grad_norm": 1.6126668609994221, + "learning_rate": 2.8461139799444982e-08, + "loss": 0.9713, + "step": 41457 + }, + { + "epoch": 0.98, + "grad_norm": 2.027684304920911, + "learning_rate": 2.840364075643809e-08, + "loss": 0.8418, + "step": 41458 + }, + { + "epoch": 0.98, + "grad_norm": 1.870135452250413, + "learning_rate": 2.8346199771221995e-08, + "loss": 0.909, + "step": 41459 + }, + { + "epoch": 0.98, + "grad_norm": 0.7619058211942371, + "learning_rate": 2.8288816844131982e-08, + "loss": 0.687, + "step": 41460 + }, + { + "epoch": 0.98, + "grad_norm": 1.6998192355076795, + "learning_rate": 2.8231491975502233e-08, + "loss": 0.7457, + "step": 41461 + }, + { + "epoch": 0.98, + "grad_norm": 1.6532373800449593, + "learning_rate": 2.8174225165664703e-08, + "loss": 0.8162, + "step": 41462 + }, + { + "epoch": 0.98, + "grad_norm": 1.7276444999495497, + "learning_rate": 2.8117016414953567e-08, + "loss": 0.8239, + "step": 41463 + }, + { + "epoch": 0.98, + "grad_norm": 1.4972857732877982, + "learning_rate": 2.8059865723703006e-08, + "loss": 0.7961, + "step": 41464 + }, + { + "epoch": 0.98, + "grad_norm": 1.6535672538281059, + "learning_rate": 2.800277309224497e-08, + "loss": 0.7905, + "step": 41465 + }, + { + "epoch": 0.98, + "grad_norm": 1.7026336719533814, + "learning_rate": 2.7945738520911426e-08, + "loss": 0.7798, + "step": 41466 + }, + { + "epoch": 0.98, + "grad_norm": 1.433390026459964, + "learning_rate": 2.788876201003432e-08, + "loss": 0.8841, + "step": 41467 + }, + { + "epoch": 0.98, + "grad_norm": 2.1379811607637667, + "learning_rate": 2.7831843559946724e-08, + "loss": 0.9307, + "step": 41468 + }, + { + "epoch": 0.98, + "grad_norm": 1.5172821984004754, + "learning_rate": 2.7774983170979487e-08, + "loss": 0.7755, + "step": 41469 + }, + { + "epoch": 0.98, + "grad_norm": 1.5914263841716756, + "learning_rate": 2.771818084346345e-08, + "loss": 0.7407, + "step": 41470 + }, + { + "epoch": 0.98, + "grad_norm": 1.8056945365761727, + "learning_rate": 2.766143657772835e-08, + "loss": 0.8098, + "step": 41471 + }, + { + "epoch": 0.98, + "grad_norm": 2.0878998521717116, + "learning_rate": 2.7604750374106148e-08, + "loss": 0.9017, + "step": 41472 + }, + { + "epoch": 0.98, + "grad_norm": 1.4746924751515833, + "learning_rate": 2.7548122232926578e-08, + "loss": 0.7895, + "step": 41473 + }, + { + "epoch": 0.98, + "grad_norm": 1.6365338997612306, + "learning_rate": 2.7491552154519375e-08, + "loss": 0.8647, + "step": 41474 + }, + { + "epoch": 0.98, + "grad_norm": 1.6239783292754908, + "learning_rate": 2.7435040139213164e-08, + "loss": 0.7302, + "step": 41475 + }, + { + "epoch": 0.98, + "grad_norm": 1.715775644089216, + "learning_rate": 2.7378586187336576e-08, + "loss": 0.9509, + "step": 41476 + }, + { + "epoch": 0.98, + "grad_norm": 1.5129157294247317, + "learning_rate": 2.732219029921934e-08, + "loss": 0.8247, + "step": 41477 + }, + { + "epoch": 0.98, + "grad_norm": 1.4558913198732433, + "learning_rate": 2.72658524751912e-08, + "loss": 0.9382, + "step": 41478 + }, + { + "epoch": 0.98, + "grad_norm": 1.6418349370284364, + "learning_rate": 2.7209572715577447e-08, + "loss": 0.7552, + "step": 41479 + }, + { + "epoch": 0.98, + "grad_norm": 1.7557069979318747, + "learning_rate": 2.7153351020706707e-08, + "loss": 0.6801, + "step": 41480 + }, + { + "epoch": 0.98, + "grad_norm": 1.5177496972821118, + "learning_rate": 2.7097187390906497e-08, + "loss": 0.7446, + "step": 41481 + }, + { + "epoch": 0.98, + "grad_norm": 2.0595734723492174, + "learning_rate": 2.7041081826504333e-08, + "loss": 0.8041, + "step": 41482 + }, + { + "epoch": 0.98, + "grad_norm": 1.7491115072522347, + "learning_rate": 2.698503432782662e-08, + "loss": 0.7934, + "step": 41483 + }, + { + "epoch": 0.98, + "grad_norm": 1.593038874005151, + "learning_rate": 2.6929044895198652e-08, + "loss": 0.8893, + "step": 41484 + }, + { + "epoch": 0.98, + "grad_norm": 1.7389211161596798, + "learning_rate": 2.6873113528947946e-08, + "loss": 0.7772, + "step": 41485 + }, + { + "epoch": 0.98, + "grad_norm": 1.6685292758530925, + "learning_rate": 2.681724022939869e-08, + "loss": 0.879, + "step": 41486 + }, + { + "epoch": 0.98, + "grad_norm": 0.8091735495636192, + "learning_rate": 2.6761424996877284e-08, + "loss": 0.7241, + "step": 41487 + }, + { + "epoch": 0.98, + "grad_norm": 1.5845966762268895, + "learning_rate": 2.6705667831707915e-08, + "loss": 0.8393, + "step": 41488 + }, + { + "epoch": 0.98, + "grad_norm": 1.5738205298638812, + "learning_rate": 2.664996873421588e-08, + "loss": 1.0172, + "step": 41489 + }, + { + "epoch": 0.98, + "grad_norm": 1.6646538565198759, + "learning_rate": 2.6594327704725365e-08, + "loss": 0.8809, + "step": 41490 + }, + { + "epoch": 0.98, + "grad_norm": 0.7957573346180566, + "learning_rate": 2.6538744743560552e-08, + "loss": 0.7392, + "step": 41491 + }, + { + "epoch": 0.98, + "grad_norm": 1.57382112852053, + "learning_rate": 2.648321985104452e-08, + "loss": 0.8495, + "step": 41492 + }, + { + "epoch": 0.98, + "grad_norm": 1.6352673592780076, + "learning_rate": 2.6427753027500335e-08, + "loss": 0.8414, + "step": 41493 + }, + { + "epoch": 0.98, + "grad_norm": 2.0961644858677184, + "learning_rate": 2.6372344273251082e-08, + "loss": 0.8341, + "step": 41494 + }, + { + "epoch": 0.98, + "grad_norm": 0.7324951721907269, + "learning_rate": 2.6316993588620944e-08, + "loss": 0.6937, + "step": 41495 + }, + { + "epoch": 0.98, + "grad_norm": 2.149465380024187, + "learning_rate": 2.626170097392966e-08, + "loss": 0.8192, + "step": 41496 + }, + { + "epoch": 0.98, + "grad_norm": 1.5907418255349421, + "learning_rate": 2.620646642950142e-08, + "loss": 0.7027, + "step": 41497 + }, + { + "epoch": 0.98, + "grad_norm": 1.6619278539208524, + "learning_rate": 2.6151289955655966e-08, + "loss": 0.845, + "step": 41498 + }, + { + "epoch": 0.98, + "grad_norm": 1.508895554418533, + "learning_rate": 2.6096171552715265e-08, + "loss": 0.9338, + "step": 41499 + }, + { + "epoch": 0.98, + "grad_norm": 1.5831043801101858, + "learning_rate": 2.604111122100128e-08, + "loss": 0.8176, + "step": 41500 + }, + { + "epoch": 0.98, + "grad_norm": 0.7305715905553284, + "learning_rate": 2.5986108960832644e-08, + "loss": 0.6557, + "step": 41501 + }, + { + "epoch": 0.98, + "grad_norm": 2.1490257250533262, + "learning_rate": 2.5931164772530214e-08, + "loss": 0.8799, + "step": 41502 + }, + { + "epoch": 0.98, + "grad_norm": 1.5897046398900807, + "learning_rate": 2.5876278656415954e-08, + "loss": 0.9291, + "step": 41503 + }, + { + "epoch": 0.98, + "grad_norm": 1.676585601567934, + "learning_rate": 2.5821450612806276e-08, + "loss": 0.7648, + "step": 41504 + }, + { + "epoch": 0.98, + "grad_norm": 1.8040433153639694, + "learning_rate": 2.5766680642023147e-08, + "loss": 0.8926, + "step": 41505 + }, + { + "epoch": 0.98, + "grad_norm": 1.5048678041032466, + "learning_rate": 2.5711968744382975e-08, + "loss": 0.8402, + "step": 41506 + }, + { + "epoch": 0.98, + "grad_norm": 1.530341995246481, + "learning_rate": 2.565731492020662e-08, + "loss": 0.7872, + "step": 41507 + }, + { + "epoch": 0.98, + "grad_norm": 1.4148401997186038, + "learning_rate": 2.5602719169810496e-08, + "loss": 0.9555, + "step": 41508 + }, + { + "epoch": 0.98, + "grad_norm": 1.5967484199643445, + "learning_rate": 2.5548181493513235e-08, + "loss": 0.8525, + "step": 41509 + }, + { + "epoch": 0.98, + "grad_norm": 1.3996198618939077, + "learning_rate": 2.5493701891632362e-08, + "loss": 0.8877, + "step": 41510 + }, + { + "epoch": 0.98, + "grad_norm": 1.8937328315013575, + "learning_rate": 2.5439280364485398e-08, + "loss": 0.8757, + "step": 41511 + }, + { + "epoch": 0.98, + "grad_norm": 1.5420514208279004, + "learning_rate": 2.538491691238765e-08, + "loss": 0.9306, + "step": 41512 + }, + { + "epoch": 0.98, + "grad_norm": 1.5239903047289425, + "learning_rate": 2.5330611535658857e-08, + "loss": 0.886, + "step": 41513 + }, + { + "epoch": 0.98, + "grad_norm": 3.13926457445258, + "learning_rate": 2.5276364234610995e-08, + "loss": 0.833, + "step": 41514 + }, + { + "epoch": 0.98, + "grad_norm": 1.5414072133631689, + "learning_rate": 2.5222175009563808e-08, + "loss": 0.8173, + "step": 41515 + }, + { + "epoch": 0.98, + "grad_norm": 1.52341969071579, + "learning_rate": 2.516804386083038e-08, + "loss": 0.7074, + "step": 41516 + }, + { + "epoch": 0.98, + "grad_norm": 1.515318094720344, + "learning_rate": 2.5113970788726018e-08, + "loss": 0.9679, + "step": 41517 + }, + { + "epoch": 0.98, + "grad_norm": 2.25750877419671, + "learning_rate": 2.5059955793567125e-08, + "loss": 0.7611, + "step": 41518 + }, + { + "epoch": 0.98, + "grad_norm": 1.4626785462882732, + "learning_rate": 2.5005998875665683e-08, + "loss": 0.8174, + "step": 41519 + }, + { + "epoch": 0.98, + "grad_norm": 1.555190307685583, + "learning_rate": 2.495210003533921e-08, + "loss": 0.89, + "step": 41520 + }, + { + "epoch": 0.98, + "grad_norm": 1.834029910542488, + "learning_rate": 2.4898259272898573e-08, + "loss": 0.8273, + "step": 41521 + }, + { + "epoch": 0.98, + "grad_norm": 1.5528666924983492, + "learning_rate": 2.4844476588659073e-08, + "loss": 0.78, + "step": 41522 + }, + { + "epoch": 0.98, + "grad_norm": 1.7665452438291267, + "learning_rate": 2.4790751982931572e-08, + "loss": 1.0164, + "step": 41523 + }, + { + "epoch": 0.98, + "grad_norm": 1.7592089813534317, + "learning_rate": 2.4737085456032483e-08, + "loss": 0.7488, + "step": 41524 + }, + { + "epoch": 0.98, + "grad_norm": 1.3923495668211194, + "learning_rate": 2.4683477008270453e-08, + "loss": 0.9797, + "step": 41525 + }, + { + "epoch": 0.98, + "grad_norm": 1.9778986585358482, + "learning_rate": 2.4629926639960777e-08, + "loss": 0.8671, + "step": 41526 + }, + { + "epoch": 0.98, + "grad_norm": 1.940806749534156, + "learning_rate": 2.4576434351412103e-08, + "loss": 0.7924, + "step": 41527 + }, + { + "epoch": 0.98, + "grad_norm": 1.9590978211041872, + "learning_rate": 2.4523000142939735e-08, + "loss": 0.7983, + "step": 41528 + }, + { + "epoch": 0.98, + "grad_norm": 1.5785513737081007, + "learning_rate": 2.44696240148512e-08, + "loss": 0.7909, + "step": 41529 + }, + { + "epoch": 0.98, + "grad_norm": 1.5956614084989096, + "learning_rate": 2.4416305967458476e-08, + "loss": 0.8358, + "step": 41530 + }, + { + "epoch": 0.98, + "grad_norm": 1.6261665673008083, + "learning_rate": 2.436304600107353e-08, + "loss": 0.7312, + "step": 41531 + }, + { + "epoch": 0.98, + "grad_norm": 1.8641345462847694, + "learning_rate": 2.43098441160039e-08, + "loss": 0.8888, + "step": 41532 + }, + { + "epoch": 0.98, + "grad_norm": 1.9980548404923333, + "learning_rate": 2.4256700312561554e-08, + "loss": 0.8419, + "step": 41533 + }, + { + "epoch": 0.98, + "grad_norm": 1.766783671679107, + "learning_rate": 2.4203614591054024e-08, + "loss": 0.8503, + "step": 41534 + }, + { + "epoch": 0.98, + "grad_norm": 1.5680555966733962, + "learning_rate": 2.4150586951792175e-08, + "loss": 0.7476, + "step": 41535 + }, + { + "epoch": 0.98, + "grad_norm": 1.5971077805548675, + "learning_rate": 2.409761739508354e-08, + "loss": 0.8094, + "step": 41536 + }, + { + "epoch": 0.98, + "grad_norm": 1.5737644252958856, + "learning_rate": 2.4044705921236756e-08, + "loss": 0.9191, + "step": 41537 + }, + { + "epoch": 0.98, + "grad_norm": 1.4724369821604515, + "learning_rate": 2.3991852530560467e-08, + "loss": 0.8375, + "step": 41538 + }, + { + "epoch": 0.98, + "grad_norm": 1.647459411221138, + "learning_rate": 2.3939057223362206e-08, + "loss": 0.7645, + "step": 41539 + }, + { + "epoch": 0.98, + "grad_norm": 1.6021024123556764, + "learning_rate": 2.3886319999948393e-08, + "loss": 0.7661, + "step": 41540 + }, + { + "epoch": 0.98, + "grad_norm": 4.184281368793094, + "learning_rate": 2.383364086062656e-08, + "loss": 0.7898, + "step": 41541 + }, + { + "epoch": 0.98, + "grad_norm": 1.5776234780880238, + "learning_rate": 2.3781019805704243e-08, + "loss": 0.7975, + "step": 41542 + }, + { + "epoch": 0.98, + "grad_norm": 1.6037125737675286, + "learning_rate": 2.3728456835487857e-08, + "loss": 0.8678, + "step": 41543 + }, + { + "epoch": 0.98, + "grad_norm": 1.4059130201557615, + "learning_rate": 2.3675951950281605e-08, + "loss": 0.7436, + "step": 41544 + }, + { + "epoch": 0.98, + "grad_norm": 1.7963090266683253, + "learning_rate": 2.3623505150393024e-08, + "loss": 0.8077, + "step": 41545 + }, + { + "epoch": 0.98, + "grad_norm": 1.4517920552965622, + "learning_rate": 2.3571116436127418e-08, + "loss": 0.6448, + "step": 41546 + }, + { + "epoch": 0.98, + "grad_norm": 0.790200463514226, + "learning_rate": 2.351878580778788e-08, + "loss": 0.7309, + "step": 41547 + }, + { + "epoch": 0.98, + "grad_norm": 1.5900794937698974, + "learning_rate": 2.3466513265680835e-08, + "loss": 0.8082, + "step": 41548 + }, + { + "epoch": 0.98, + "grad_norm": 1.7589587931311634, + "learning_rate": 2.341429881011159e-08, + "loss": 0.7497, + "step": 41549 + }, + { + "epoch": 0.98, + "grad_norm": 1.9091295051869919, + "learning_rate": 2.336214244138102e-08, + "loss": 0.7576, + "step": 41550 + }, + { + "epoch": 0.98, + "grad_norm": 1.4561785233160978, + "learning_rate": 2.331004415979554e-08, + "loss": 0.8563, + "step": 41551 + }, + { + "epoch": 0.98, + "grad_norm": 1.4640987981950593, + "learning_rate": 2.325800396565825e-08, + "loss": 0.8739, + "step": 41552 + }, + { + "epoch": 0.98, + "grad_norm": 1.5431510507127144, + "learning_rate": 2.3206021859270012e-08, + "loss": 0.7471, + "step": 41553 + }, + { + "epoch": 0.98, + "grad_norm": 1.9716753172406807, + "learning_rate": 2.315409784093503e-08, + "loss": 0.8042, + "step": 41554 + }, + { + "epoch": 0.98, + "grad_norm": 1.5459888925267784, + "learning_rate": 2.3102231910956398e-08, + "loss": 0.8551, + "step": 41555 + }, + { + "epoch": 0.98, + "grad_norm": 2.05071265037788, + "learning_rate": 2.305042406963498e-08, + "loss": 0.8025, + "step": 41556 + }, + { + "epoch": 0.98, + "grad_norm": 1.9201532472293865, + "learning_rate": 2.2998674317272762e-08, + "loss": 0.6508, + "step": 41557 + }, + { + "epoch": 0.98, + "grad_norm": 1.5470114381586957, + "learning_rate": 2.2946982654170614e-08, + "loss": 0.92, + "step": 41558 + }, + { + "epoch": 0.98, + "grad_norm": 1.6255459505766143, + "learning_rate": 2.2895349080630512e-08, + "loss": 0.808, + "step": 41559 + }, + { + "epoch": 0.98, + "grad_norm": 1.4919530718085732, + "learning_rate": 2.2843773596951115e-08, + "loss": 0.9498, + "step": 41560 + }, + { + "epoch": 0.98, + "grad_norm": 1.421930238084233, + "learning_rate": 2.2792256203434393e-08, + "loss": 0.7159, + "step": 41561 + }, + { + "epoch": 0.98, + "grad_norm": 1.697118031429135, + "learning_rate": 2.2740796900380114e-08, + "loss": 1.0203, + "step": 41562 + }, + { + "epoch": 0.98, + "grad_norm": 1.5916790688617986, + "learning_rate": 2.2689395688088034e-08, + "loss": 0.8929, + "step": 41563 + }, + { + "epoch": 0.98, + "grad_norm": 1.6644133279283293, + "learning_rate": 2.2638052566856806e-08, + "loss": 0.7364, + "step": 41564 + }, + { + "epoch": 0.98, + "grad_norm": 1.9979332044271856, + "learning_rate": 2.2586767536985078e-08, + "loss": 0.747, + "step": 41565 + }, + { + "epoch": 0.98, + "grad_norm": 1.8073292737018383, + "learning_rate": 2.253554059877261e-08, + "loss": 0.7706, + "step": 41566 + }, + { + "epoch": 0.98, + "grad_norm": 1.6139176604433045, + "learning_rate": 2.2484371752516942e-08, + "loss": 0.8726, + "step": 41567 + }, + { + "epoch": 0.98, + "grad_norm": 1.6126506987656493, + "learning_rate": 2.2433260998515615e-08, + "loss": 0.8199, + "step": 41568 + }, + { + "epoch": 0.98, + "grad_norm": 1.9446026981843711, + "learning_rate": 2.238220833706728e-08, + "loss": 0.798, + "step": 41569 + }, + { + "epoch": 0.98, + "grad_norm": 1.9395086460069353, + "learning_rate": 2.2331213768468363e-08, + "loss": 0.9446, + "step": 41570 + }, + { + "epoch": 0.98, + "grad_norm": 1.751952329340938, + "learning_rate": 2.2280277293016404e-08, + "loss": 0.8718, + "step": 41571 + }, + { + "epoch": 0.98, + "grad_norm": 1.7044454908618554, + "learning_rate": 2.2229398911006726e-08, + "loss": 0.7049, + "step": 41572 + }, + { + "epoch": 0.98, + "grad_norm": 1.5980767344728144, + "learning_rate": 2.2178578622736867e-08, + "loss": 0.7211, + "step": 41573 + }, + { + "epoch": 0.98, + "grad_norm": 1.7154680921105805, + "learning_rate": 2.2127816428502148e-08, + "loss": 0.7724, + "step": 41574 + }, + { + "epoch": 0.98, + "grad_norm": 1.6437000586058292, + "learning_rate": 2.207711232859788e-08, + "loss": 0.9515, + "step": 41575 + }, + { + "epoch": 0.98, + "grad_norm": 1.5752460496101672, + "learning_rate": 2.2026466323320504e-08, + "loss": 0.8462, + "step": 41576 + }, + { + "epoch": 0.98, + "grad_norm": 0.7862404512860085, + "learning_rate": 2.1975878412964225e-08, + "loss": 0.7625, + "step": 41577 + }, + { + "epoch": 0.98, + "grad_norm": 1.7914629259878305, + "learning_rate": 2.1925348597822137e-08, + "loss": 0.6774, + "step": 41578 + }, + { + "epoch": 0.98, + "grad_norm": 1.856286129794031, + "learning_rate": 2.1874876878189564e-08, + "loss": 0.7696, + "step": 41579 + }, + { + "epoch": 0.98, + "grad_norm": 2.0163073979823762, + "learning_rate": 2.1824463254361826e-08, + "loss": 0.796, + "step": 41580 + }, + { + "epoch": 0.98, + "grad_norm": 1.571757892387998, + "learning_rate": 2.177410772663091e-08, + "loss": 0.8199, + "step": 41581 + }, + { + "epoch": 0.98, + "grad_norm": 1.5466079630056433, + "learning_rate": 2.1723810295288807e-08, + "loss": 0.7618, + "step": 41582 + }, + { + "epoch": 0.98, + "grad_norm": 1.7822253410126145, + "learning_rate": 2.167357096063083e-08, + "loss": 0.7994, + "step": 41583 + }, + { + "epoch": 0.98, + "grad_norm": 2.4627362892277884, + "learning_rate": 2.1623389722947864e-08, + "loss": 0.9384, + "step": 41584 + }, + { + "epoch": 0.98, + "grad_norm": 1.8247188860282564, + "learning_rate": 2.1573266582533002e-08, + "loss": 0.783, + "step": 41585 + }, + { + "epoch": 0.98, + "grad_norm": 1.5520630952034797, + "learning_rate": 2.152320153967824e-08, + "loss": 0.8597, + "step": 41586 + }, + { + "epoch": 0.98, + "grad_norm": 1.721370607678776, + "learning_rate": 2.147319459467334e-08, + "loss": 0.8733, + "step": 41587 + }, + { + "epoch": 0.98, + "grad_norm": 1.6550366733795738, + "learning_rate": 2.1423245747811407e-08, + "loss": 0.7337, + "step": 41588 + }, + { + "epoch": 0.98, + "grad_norm": 1.6731379489513711, + "learning_rate": 2.13733549993822e-08, + "loss": 0.6767, + "step": 41589 + }, + { + "epoch": 0.98, + "grad_norm": 1.803440076028565, + "learning_rate": 2.1323522349676607e-08, + "loss": 0.7478, + "step": 41590 + }, + { + "epoch": 0.98, + "grad_norm": 1.4824089787447476, + "learning_rate": 2.12737477989855e-08, + "loss": 0.8298, + "step": 41591 + }, + { + "epoch": 0.98, + "grad_norm": 1.422735468268066, + "learning_rate": 2.122403134759643e-08, + "loss": 0.8461, + "step": 41592 + }, + { + "epoch": 0.98, + "grad_norm": 1.6791224110790095, + "learning_rate": 2.1174372995801385e-08, + "loss": 0.9112, + "step": 41593 + }, + { + "epoch": 0.98, + "grad_norm": 1.4869255280735352, + "learning_rate": 2.112477274388791e-08, + "loss": 0.9095, + "step": 41594 + }, + { + "epoch": 0.98, + "grad_norm": 1.6885887567425333, + "learning_rate": 2.107523059214467e-08, + "loss": 0.8482, + "step": 41595 + }, + { + "epoch": 0.98, + "grad_norm": 2.0384610855095775, + "learning_rate": 2.1025746540861425e-08, + "loss": 0.8497, + "step": 41596 + }, + { + "epoch": 0.98, + "grad_norm": 1.566651163023725, + "learning_rate": 2.0976320590325727e-08, + "loss": 0.8075, + "step": 41597 + }, + { + "epoch": 0.98, + "grad_norm": 1.5121214932786307, + "learning_rate": 2.0926952740825124e-08, + "loss": 0.8364, + "step": 41598 + }, + { + "epoch": 0.98, + "grad_norm": 0.7873293056388411, + "learning_rate": 2.0877642992647164e-08, + "loss": 0.7271, + "step": 41599 + }, + { + "epoch": 0.98, + "grad_norm": 1.506127937466413, + "learning_rate": 2.082839134607828e-08, + "loss": 0.6735, + "step": 41600 + }, + { + "epoch": 0.98, + "grad_norm": 0.75282029695164, + "learning_rate": 2.0779197801406026e-08, + "loss": 0.7107, + "step": 41601 + }, + { + "epoch": 0.98, + "grad_norm": 1.6765215872871735, + "learning_rate": 2.0730062358916835e-08, + "loss": 0.8252, + "step": 41602 + }, + { + "epoch": 0.98, + "grad_norm": 1.6546614549812433, + "learning_rate": 2.068098501889715e-08, + "loss": 0.7761, + "step": 41603 + }, + { + "epoch": 0.98, + "grad_norm": 1.7963209179053563, + "learning_rate": 2.063196578163118e-08, + "loss": 0.9267, + "step": 41604 + }, + { + "epoch": 0.98, + "grad_norm": 1.7171583905409729, + "learning_rate": 2.058300464740648e-08, + "loss": 0.9415, + "step": 41605 + }, + { + "epoch": 0.98, + "grad_norm": 1.675194445681317, + "learning_rate": 2.0534101616506154e-08, + "loss": 0.8558, + "step": 41606 + }, + { + "epoch": 0.98, + "grad_norm": 1.407146723474149, + "learning_rate": 2.0485256689215525e-08, + "loss": 0.7682, + "step": 41607 + }, + { + "epoch": 0.98, + "grad_norm": 2.2221761124243113, + "learning_rate": 2.043646986581993e-08, + "loss": 0.8893, + "step": 41608 + }, + { + "epoch": 0.98, + "grad_norm": 1.4252604130930744, + "learning_rate": 2.038774114660136e-08, + "loss": 0.7824, + "step": 41609 + }, + { + "epoch": 0.98, + "grad_norm": 1.7510509975784518, + "learning_rate": 2.033907053184625e-08, + "loss": 0.8285, + "step": 41610 + }, + { + "epoch": 0.98, + "grad_norm": 1.8805379206944044, + "learning_rate": 2.029045802183549e-08, + "loss": 0.8247, + "step": 41611 + }, + { + "epoch": 0.98, + "grad_norm": 1.495209509129837, + "learning_rate": 2.024190361685441e-08, + "loss": 0.7718, + "step": 41612 + }, + { + "epoch": 0.98, + "grad_norm": 1.6046086115355054, + "learning_rate": 2.019340731718389e-08, + "loss": 0.9085, + "step": 41613 + }, + { + "epoch": 0.98, + "grad_norm": 2.1474507891008376, + "learning_rate": 2.014496912310704e-08, + "loss": 0.7246, + "step": 41614 + }, + { + "epoch": 0.98, + "grad_norm": 1.538370016672645, + "learning_rate": 2.0096589034905856e-08, + "loss": 0.9425, + "step": 41615 + }, + { + "epoch": 0.98, + "grad_norm": 1.5889662619296294, + "learning_rate": 2.0048267052861226e-08, + "loss": 0.8483, + "step": 41616 + }, + { + "epoch": 0.98, + "grad_norm": 1.5726582080720621, + "learning_rate": 2.0000003177255145e-08, + "loss": 0.7244, + "step": 41617 + }, + { + "epoch": 0.98, + "grad_norm": 1.7003204379361352, + "learning_rate": 1.9951797408369612e-08, + "loss": 0.8648, + "step": 41618 + }, + { + "epoch": 0.98, + "grad_norm": 1.568358943126062, + "learning_rate": 1.99036497464844e-08, + "loss": 0.7965, + "step": 41619 + }, + { + "epoch": 0.98, + "grad_norm": 1.4640899570451722, + "learning_rate": 1.9855560191879285e-08, + "loss": 0.7173, + "step": 41620 + }, + { + "epoch": 0.98, + "grad_norm": 2.456175398893764, + "learning_rate": 1.9807528744834048e-08, + "loss": 0.8145, + "step": 41621 + }, + { + "epoch": 0.98, + "grad_norm": 1.6306037068548533, + "learning_rate": 1.975955540563068e-08, + "loss": 0.8649, + "step": 41622 + }, + { + "epoch": 0.98, + "grad_norm": 0.7739147967317159, + "learning_rate": 1.9711640174545633e-08, + "loss": 0.6583, + "step": 41623 + }, + { + "epoch": 0.98, + "grad_norm": 1.8338079208777769, + "learning_rate": 1.9663783051858676e-08, + "loss": 0.7618, + "step": 41624 + }, + { + "epoch": 0.98, + "grad_norm": 1.396585540487495, + "learning_rate": 1.9615984037849588e-08, + "loss": 0.7487, + "step": 41625 + }, + { + "epoch": 0.98, + "grad_norm": 1.7102774135239016, + "learning_rate": 1.9568243132797036e-08, + "loss": 0.739, + "step": 41626 + }, + { + "epoch": 0.98, + "grad_norm": 1.4356112816855637, + "learning_rate": 1.9520560336976357e-08, + "loss": 0.6955, + "step": 41627 + }, + { + "epoch": 0.98, + "grad_norm": 1.8149693063331562, + "learning_rate": 1.9472935650667325e-08, + "loss": 0.8407, + "step": 41628 + }, + { + "epoch": 0.98, + "grad_norm": 1.626268023352364, + "learning_rate": 1.9425369074146384e-08, + "loss": 0.6508, + "step": 41629 + }, + { + "epoch": 0.98, + "grad_norm": 2.373255206998429, + "learning_rate": 1.937786060769109e-08, + "loss": 0.9087, + "step": 41630 + }, + { + "epoch": 0.98, + "grad_norm": 1.5025825005556646, + "learning_rate": 1.933041025157789e-08, + "loss": 0.8203, + "step": 41631 + }, + { + "epoch": 0.98, + "grad_norm": 1.5389036406955598, + "learning_rate": 1.928301800608212e-08, + "loss": 0.7732, + "step": 41632 + }, + { + "epoch": 0.98, + "grad_norm": 0.7329834669319154, + "learning_rate": 1.9235683871481338e-08, + "loss": 0.7183, + "step": 41633 + }, + { + "epoch": 0.98, + "grad_norm": 1.3602793836177824, + "learning_rate": 1.918840784804976e-08, + "loss": 0.7139, + "step": 41634 + }, + { + "epoch": 0.98, + "grad_norm": 1.7051001739844676, + "learning_rate": 1.9141189936063842e-08, + "loss": 0.768, + "step": 41635 + }, + { + "epoch": 0.98, + "grad_norm": 1.6865022581835347, + "learning_rate": 1.9094030135796694e-08, + "loss": 0.782, + "step": 41636 + }, + { + "epoch": 0.98, + "grad_norm": 1.5087808786636296, + "learning_rate": 1.904692844752476e-08, + "loss": 0.8791, + "step": 41637 + }, + { + "epoch": 0.98, + "grad_norm": 1.86286015706552, + "learning_rate": 1.8999884871521157e-08, + "loss": 0.8846, + "step": 41638 + }, + { + "epoch": 0.98, + "grad_norm": 1.6121427097885117, + "learning_rate": 1.895289940806011e-08, + "loss": 0.8946, + "step": 41639 + }, + { + "epoch": 0.98, + "grad_norm": 1.6095204474957878, + "learning_rate": 1.8905972057415845e-08, + "loss": 1.0084, + "step": 41640 + }, + { + "epoch": 0.98, + "grad_norm": 1.60587746079308, + "learning_rate": 1.8859102819860365e-08, + "loss": 0.8149, + "step": 41641 + }, + { + "epoch": 0.98, + "grad_norm": 1.709466898612084, + "learning_rate": 1.8812291695666783e-08, + "loss": 0.7466, + "step": 41642 + }, + { + "epoch": 0.98, + "grad_norm": 1.6882110458159894, + "learning_rate": 1.876553868510822e-08, + "loss": 0.8238, + "step": 41643 + }, + { + "epoch": 0.98, + "grad_norm": 1.6773894648514305, + "learning_rate": 1.8718843788457787e-08, + "loss": 1.0024, + "step": 41644 + }, + { + "epoch": 0.98, + "grad_norm": 1.4713949693088466, + "learning_rate": 1.8672207005985267e-08, + "loss": 0.7533, + "step": 41645 + }, + { + "epoch": 0.98, + "grad_norm": 1.609471428275949, + "learning_rate": 1.8625628337963775e-08, + "loss": 0.7619, + "step": 41646 + }, + { + "epoch": 0.98, + "grad_norm": 1.6347042173719835, + "learning_rate": 1.8579107784663097e-08, + "loss": 0.8872, + "step": 41647 + }, + { + "epoch": 0.98, + "grad_norm": 1.435643905254322, + "learning_rate": 1.853264534635635e-08, + "loss": 0.8003, + "step": 41648 + }, + { + "epoch": 0.98, + "grad_norm": 1.670454216568774, + "learning_rate": 1.8486241023311093e-08, + "loss": 0.8345, + "step": 41649 + }, + { + "epoch": 0.98, + "grad_norm": 0.7467465257098801, + "learning_rate": 1.843989481579933e-08, + "loss": 0.7067, + "step": 41650 + }, + { + "epoch": 0.98, + "grad_norm": 1.6200532846353926, + "learning_rate": 1.8393606724090852e-08, + "loss": 0.9029, + "step": 41651 + }, + { + "epoch": 0.98, + "grad_norm": 1.5535819382526892, + "learning_rate": 1.8347376748455438e-08, + "loss": 0.811, + "step": 41652 + }, + { + "epoch": 0.98, + "grad_norm": 1.5984923443786052, + "learning_rate": 1.8301204889160652e-08, + "loss": 0.7481, + "step": 41653 + }, + { + "epoch": 0.98, + "grad_norm": 1.6203831711537326, + "learning_rate": 1.8255091146477387e-08, + "loss": 0.8323, + "step": 41654 + }, + { + "epoch": 0.98, + "grad_norm": 1.615772112883891, + "learning_rate": 1.8209035520673213e-08, + "loss": 0.7635, + "step": 41655 + }, + { + "epoch": 0.98, + "grad_norm": 1.5452202796863022, + "learning_rate": 1.816303801201569e-08, + "loss": 0.8992, + "step": 41656 + }, + { + "epoch": 0.98, + "grad_norm": 1.6817871837005696, + "learning_rate": 1.8117098620773487e-08, + "loss": 0.8529, + "step": 41657 + }, + { + "epoch": 0.98, + "grad_norm": 1.4698666646390075, + "learning_rate": 1.8071217347213066e-08, + "loss": 0.8359, + "step": 41658 + }, + { + "epoch": 0.98, + "grad_norm": 1.6154171901001715, + "learning_rate": 1.8025394191603095e-08, + "loss": 0.7962, + "step": 41659 + }, + { + "epoch": 0.98, + "grad_norm": 1.6488723017258045, + "learning_rate": 1.7979629154208923e-08, + "loss": 0.776, + "step": 41660 + }, + { + "epoch": 0.98, + "grad_norm": 1.6546661093742978, + "learning_rate": 1.7933922235298108e-08, + "loss": 0.7989, + "step": 41661 + }, + { + "epoch": 0.98, + "grad_norm": 1.4757051259603642, + "learning_rate": 1.7888273435135994e-08, + "loss": 0.8019, + "step": 41662 + }, + { + "epoch": 0.98, + "grad_norm": 1.8424483730300292, + "learning_rate": 1.7842682753987927e-08, + "loss": 0.8243, + "step": 41663 + }, + { + "epoch": 0.98, + "grad_norm": 1.5089253364828326, + "learning_rate": 1.779715019212036e-08, + "loss": 0.8267, + "step": 41664 + }, + { + "epoch": 0.98, + "grad_norm": 1.4946208058769879, + "learning_rate": 1.7751675749798635e-08, + "loss": 0.8153, + "step": 41665 + }, + { + "epoch": 0.98, + "grad_norm": 1.5408742922800043, + "learning_rate": 1.7706259427286988e-08, + "loss": 0.7063, + "step": 41666 + }, + { + "epoch": 0.98, + "grad_norm": 1.86103323652468, + "learning_rate": 1.7660901224849647e-08, + "loss": 0.8512, + "step": 41667 + }, + { + "epoch": 0.98, + "grad_norm": 1.6269648688257135, + "learning_rate": 1.761560114275085e-08, + "loss": 0.7083, + "step": 41668 + }, + { + "epoch": 0.98, + "grad_norm": 1.5459975290981558, + "learning_rate": 1.7570359181254827e-08, + "loss": 0.826, + "step": 41669 + }, + { + "epoch": 0.98, + "grad_norm": 1.5765080259324635, + "learning_rate": 1.752517534062359e-08, + "loss": 0.7401, + "step": 41670 + }, + { + "epoch": 0.98, + "grad_norm": 1.4109315183724351, + "learning_rate": 1.7480049621122485e-08, + "loss": 0.8286, + "step": 41671 + }, + { + "epoch": 0.98, + "grad_norm": 0.7418361504103279, + "learning_rate": 1.7434982023012414e-08, + "loss": 0.6848, + "step": 41672 + }, + { + "epoch": 0.98, + "grad_norm": 1.5295232200576785, + "learning_rate": 1.738997254655539e-08, + "loss": 0.7052, + "step": 41673 + }, + { + "epoch": 0.98, + "grad_norm": 1.6721008266777773, + "learning_rate": 1.7345021192015643e-08, + "loss": 0.7544, + "step": 41674 + }, + { + "epoch": 0.98, + "grad_norm": 1.5375664358378014, + "learning_rate": 1.730012795965297e-08, + "loss": 0.8305, + "step": 41675 + }, + { + "epoch": 0.98, + "grad_norm": 1.6309020754940386, + "learning_rate": 1.7255292849729376e-08, + "loss": 0.8411, + "step": 41676 + }, + { + "epoch": 0.98, + "grad_norm": 0.8321552186356445, + "learning_rate": 1.7210515862505773e-08, + "loss": 0.7615, + "step": 41677 + }, + { + "epoch": 0.98, + "grad_norm": 1.5837907064935983, + "learning_rate": 1.7165796998244168e-08, + "loss": 0.8598, + "step": 41678 + }, + { + "epoch": 0.98, + "grad_norm": 1.6404784341466887, + "learning_rate": 1.712113625720324e-08, + "loss": 0.8109, + "step": 41679 + }, + { + "epoch": 0.98, + "grad_norm": 0.732111173094501, + "learning_rate": 1.7076533639642788e-08, + "loss": 0.692, + "step": 41680 + }, + { + "epoch": 0.98, + "grad_norm": 1.7532455177414994, + "learning_rate": 1.7031989145823713e-08, + "loss": 0.9706, + "step": 41681 + }, + { + "epoch": 0.98, + "grad_norm": 0.7972877542628162, + "learning_rate": 1.6987502776005803e-08, + "loss": 0.707, + "step": 41682 + }, + { + "epoch": 0.98, + "grad_norm": 1.4218884088940487, + "learning_rate": 1.6943074530446636e-08, + "loss": 0.9039, + "step": 41683 + }, + { + "epoch": 0.98, + "grad_norm": 1.7423930206631586, + "learning_rate": 1.6898704409404888e-08, + "loss": 0.8629, + "step": 41684 + }, + { + "epoch": 0.98, + "grad_norm": 1.6300718158875613, + "learning_rate": 1.6854392413139244e-08, + "loss": 0.8816, + "step": 41685 + }, + { + "epoch": 0.98, + "grad_norm": 1.695160402621397, + "learning_rate": 1.6810138541909492e-08, + "loss": 0.8184, + "step": 41686 + }, + { + "epoch": 0.98, + "grad_norm": 1.476744184909176, + "learning_rate": 1.676594279597099e-08, + "loss": 0.8851, + "step": 41687 + }, + { + "epoch": 0.98, + "grad_norm": 1.7414076993502445, + "learning_rate": 1.6721805175581307e-08, + "loss": 0.9943, + "step": 41688 + }, + { + "epoch": 0.98, + "grad_norm": 1.569343680502579, + "learning_rate": 1.6677725680999124e-08, + "loss": 0.9206, + "step": 41689 + }, + { + "epoch": 0.98, + "grad_norm": 1.9489446576727234, + "learning_rate": 1.6633704312478683e-08, + "loss": 0.8127, + "step": 41690 + }, + { + "epoch": 0.98, + "grad_norm": 1.7547885329989803, + "learning_rate": 1.6589741070277555e-08, + "loss": 0.7637, + "step": 41691 + }, + { + "epoch": 0.98, + "grad_norm": 1.6234152607817525, + "learning_rate": 1.65458359546522e-08, + "loss": 0.7469, + "step": 41692 + }, + { + "epoch": 0.98, + "grad_norm": 1.6015363025448914, + "learning_rate": 1.6501988965857972e-08, + "loss": 0.7896, + "step": 41693 + }, + { + "epoch": 0.98, + "grad_norm": 1.6630315771230413, + "learning_rate": 1.6458200104149115e-08, + "loss": 0.8567, + "step": 41694 + }, + { + "epoch": 0.98, + "grad_norm": 1.7377454058367534, + "learning_rate": 1.641446936978208e-08, + "loss": 0.8614, + "step": 41695 + }, + { + "epoch": 0.98, + "grad_norm": 1.961305493147844, + "learning_rate": 1.637079676301001e-08, + "loss": 0.8616, + "step": 41696 + }, + { + "epoch": 0.98, + "grad_norm": 1.5357524882396487, + "learning_rate": 1.632718228408825e-08, + "loss": 0.9109, + "step": 41697 + }, + { + "epoch": 0.98, + "grad_norm": 1.6088935588704292, + "learning_rate": 1.6283625933269932e-08, + "loss": 0.8532, + "step": 41698 + }, + { + "epoch": 0.98, + "grad_norm": 1.8007025938765835, + "learning_rate": 1.6240127710810405e-08, + "loss": 0.8418, + "step": 41699 + }, + { + "epoch": 0.98, + "grad_norm": 1.9085227830099414, + "learning_rate": 1.6196687616960583e-08, + "loss": 0.796, + "step": 41700 + }, + { + "epoch": 0.98, + "grad_norm": 1.5631366047000694, + "learning_rate": 1.6153305651974703e-08, + "loss": 0.9129, + "step": 41701 + }, + { + "epoch": 0.98, + "grad_norm": 1.5885721231369538, + "learning_rate": 1.610998181610479e-08, + "loss": 0.8052, + "step": 41702 + }, + { + "epoch": 0.98, + "grad_norm": 1.6722603757028665, + "learning_rate": 1.6066716109603975e-08, + "loss": 0.6413, + "step": 41703 + }, + { + "epoch": 0.98, + "grad_norm": 1.5961126388014684, + "learning_rate": 1.6023508532724273e-08, + "loss": 0.7841, + "step": 41704 + }, + { + "epoch": 0.98, + "grad_norm": 1.6968358423248309, + "learning_rate": 1.5980359085715493e-08, + "loss": 0.8922, + "step": 41705 + }, + { + "epoch": 0.98, + "grad_norm": 1.496873002116147, + "learning_rate": 1.5937267768829646e-08, + "loss": 0.8998, + "step": 41706 + }, + { + "epoch": 0.98, + "grad_norm": 1.5807709463969817, + "learning_rate": 1.5894234582318758e-08, + "loss": 0.821, + "step": 41707 + }, + { + "epoch": 0.98, + "grad_norm": 1.6896610870699178, + "learning_rate": 1.585125952643263e-08, + "loss": 0.7799, + "step": 41708 + }, + { + "epoch": 0.98, + "grad_norm": 0.7671147262937487, + "learning_rate": 1.5808342601421055e-08, + "loss": 0.6753, + "step": 41709 + }, + { + "epoch": 0.98, + "grad_norm": 1.6153114538226607, + "learning_rate": 1.5765483807533843e-08, + "loss": 0.8771, + "step": 41710 + }, + { + "epoch": 0.98, + "grad_norm": 1.7448091510937809, + "learning_rate": 1.5722683145020788e-08, + "loss": 0.7053, + "step": 41711 + }, + { + "epoch": 0.98, + "grad_norm": 1.5624295717996655, + "learning_rate": 1.5679940614131696e-08, + "loss": 0.865, + "step": 41712 + }, + { + "epoch": 0.98, + "grad_norm": 2.861718514202844, + "learning_rate": 1.563725621511525e-08, + "loss": 0.7949, + "step": 41713 + }, + { + "epoch": 0.98, + "grad_norm": 1.6734683535604529, + "learning_rate": 1.559462994822014e-08, + "loss": 0.9426, + "step": 41714 + }, + { + "epoch": 0.98, + "grad_norm": 1.546136486919246, + "learning_rate": 1.5552061813692843e-08, + "loss": 0.813, + "step": 41715 + }, + { + "epoch": 0.98, + "grad_norm": 1.6764279803395001, + "learning_rate": 1.5509551811783152e-08, + "loss": 0.8001, + "step": 41716 + }, + { + "epoch": 0.98, + "grad_norm": 1.6510802488281215, + "learning_rate": 1.546709994273865e-08, + "loss": 0.8714, + "step": 41717 + }, + { + "epoch": 0.98, + "grad_norm": 0.7429246000120062, + "learning_rate": 1.5424706206804695e-08, + "loss": 0.7571, + "step": 41718 + }, + { + "epoch": 0.98, + "grad_norm": 0.736388614866179, + "learning_rate": 1.538237060422887e-08, + "loss": 0.6933, + "step": 41719 + }, + { + "epoch": 0.98, + "grad_norm": 1.4496112269380983, + "learning_rate": 1.5340093135258748e-08, + "loss": 0.7722, + "step": 41720 + }, + { + "epoch": 0.98, + "grad_norm": 2.6427880593193964, + "learning_rate": 1.5297873800139696e-08, + "loss": 0.8124, + "step": 41721 + }, + { + "epoch": 0.98, + "grad_norm": 1.4688851522676127, + "learning_rate": 1.5255712599117066e-08, + "loss": 0.7112, + "step": 41722 + }, + { + "epoch": 0.98, + "grad_norm": 1.9590160805071655, + "learning_rate": 1.5213609532436223e-08, + "loss": 0.928, + "step": 41723 + }, + { + "epoch": 0.98, + "grad_norm": 1.940132938908784, + "learning_rate": 1.5171564600343636e-08, + "loss": 0.7902, + "step": 41724 + }, + { + "epoch": 0.98, + "grad_norm": 1.76446413108869, + "learning_rate": 1.512957780308355e-08, + "loss": 0.8524, + "step": 41725 + }, + { + "epoch": 0.98, + "grad_norm": 1.4289134219670994, + "learning_rate": 1.5087649140900218e-08, + "loss": 0.7132, + "step": 41726 + }, + { + "epoch": 0.98, + "grad_norm": 1.7810961061847428, + "learning_rate": 1.5045778614036775e-08, + "loss": 0.749, + "step": 41727 + }, + { + "epoch": 0.98, + "grad_norm": 1.6971293502448606, + "learning_rate": 1.5003966222739697e-08, + "loss": 0.758, + "step": 41728 + }, + { + "epoch": 0.98, + "grad_norm": 1.6101309755061604, + "learning_rate": 1.4962211967249895e-08, + "loss": 0.7553, + "step": 41729 + }, + { + "epoch": 0.98, + "grad_norm": 1.535418068963271, + "learning_rate": 1.4920515847810513e-08, + "loss": 0.8117, + "step": 41730 + }, + { + "epoch": 0.98, + "grad_norm": 1.4554827379791337, + "learning_rate": 1.4878877864665797e-08, + "loss": 0.8171, + "step": 41731 + }, + { + "epoch": 0.98, + "grad_norm": 1.7775865232950692, + "learning_rate": 1.4837298018057778e-08, + "loss": 0.748, + "step": 41732 + }, + { + "epoch": 0.98, + "grad_norm": 1.5767995753917157, + "learning_rate": 1.4795776308228482e-08, + "loss": 0.8562, + "step": 41733 + }, + { + "epoch": 0.98, + "grad_norm": 3.5325086679447923, + "learning_rate": 1.475431273541883e-08, + "loss": 0.6613, + "step": 41734 + }, + { + "epoch": 0.98, + "grad_norm": 1.5635135341613307, + "learning_rate": 1.4712907299870848e-08, + "loss": 0.8432, + "step": 41735 + }, + { + "epoch": 0.98, + "grad_norm": 1.507345826833167, + "learning_rate": 1.4671560001825458e-08, + "loss": 0.8121, + "step": 41736 + }, + { + "epoch": 0.98, + "grad_norm": 1.5219365312952176, + "learning_rate": 1.4630270841523575e-08, + "loss": 0.8428, + "step": 41737 + }, + { + "epoch": 0.98, + "grad_norm": 0.8606864854600672, + "learning_rate": 1.4589039819206118e-08, + "loss": 0.6891, + "step": 41738 + }, + { + "epoch": 0.98, + "grad_norm": 1.962448495636934, + "learning_rate": 1.4547866935111787e-08, + "loss": 0.8599, + "step": 41739 + }, + { + "epoch": 0.98, + "grad_norm": 1.6250986307120439, + "learning_rate": 1.45067521894815e-08, + "loss": 0.7746, + "step": 41740 + }, + { + "epoch": 0.98, + "grad_norm": 1.5840843298093559, + "learning_rate": 1.4465695582553951e-08, + "loss": 0.7635, + "step": 41741 + }, + { + "epoch": 0.98, + "grad_norm": 1.6688136154973106, + "learning_rate": 1.4424697114570063e-08, + "loss": 0.8642, + "step": 41742 + }, + { + "epoch": 0.98, + "grad_norm": 1.4838431130065373, + "learning_rate": 1.4383756785765201e-08, + "loss": 0.7669, + "step": 41743 + }, + { + "epoch": 0.98, + "grad_norm": 1.6408593421455324, + "learning_rate": 1.4342874596380285e-08, + "loss": 0.7918, + "step": 41744 + }, + { + "epoch": 0.98, + "grad_norm": 1.850411645358254, + "learning_rate": 1.4302050546651791e-08, + "loss": 0.7949, + "step": 41745 + }, + { + "epoch": 0.98, + "grad_norm": 1.5255354315606555, + "learning_rate": 1.4261284636819527e-08, + "loss": 0.8401, + "step": 41746 + }, + { + "epoch": 0.98, + "grad_norm": 1.6123891887508799, + "learning_rate": 1.4220576867118862e-08, + "loss": 0.7043, + "step": 41747 + }, + { + "epoch": 0.98, + "grad_norm": 1.5311229491394223, + "learning_rate": 1.4179927237786272e-08, + "loss": 0.8438, + "step": 41748 + }, + { + "epoch": 0.98, + "grad_norm": 1.686533012336037, + "learning_rate": 1.4139335749061567e-08, + "loss": 0.8156, + "step": 41749 + }, + { + "epoch": 0.98, + "grad_norm": 1.5898228210348984, + "learning_rate": 1.4098802401177891e-08, + "loss": 0.8437, + "step": 41750 + }, + { + "epoch": 0.98, + "grad_norm": 1.4635324153606513, + "learning_rate": 1.4058327194372834e-08, + "loss": 0.8326, + "step": 41751 + }, + { + "epoch": 0.98, + "grad_norm": 0.7513581621630065, + "learning_rate": 1.4017910128881762e-08, + "loss": 0.714, + "step": 41752 + }, + { + "epoch": 0.98, + "grad_norm": 1.6162696547156872, + "learning_rate": 1.3977551204938932e-08, + "loss": 0.933, + "step": 41753 + }, + { + "epoch": 0.98, + "grad_norm": 2.1224553749176214, + "learning_rate": 1.3937250422781934e-08, + "loss": 0.6899, + "step": 41754 + }, + { + "epoch": 0.98, + "grad_norm": 1.74357296461334, + "learning_rate": 1.3897007782642802e-08, + "loss": 0.8843, + "step": 41755 + }, + { + "epoch": 0.98, + "grad_norm": 1.5691440967931116, + "learning_rate": 1.3856823284756904e-08, + "loss": 0.8266, + "step": 41756 + }, + { + "epoch": 0.98, + "grad_norm": 1.4520987762614062, + "learning_rate": 1.3816696929358498e-08, + "loss": 0.7234, + "step": 41757 + }, + { + "epoch": 0.98, + "grad_norm": 1.6661901830809405, + "learning_rate": 1.377662871668073e-08, + "loss": 0.9046, + "step": 41758 + }, + { + "epoch": 0.98, + "grad_norm": 1.878696902580624, + "learning_rate": 1.3736618646956746e-08, + "loss": 0.9297, + "step": 41759 + }, + { + "epoch": 0.98, + "grad_norm": 0.7396033246848694, + "learning_rate": 1.3696666720419693e-08, + "loss": 0.6929, + "step": 41760 + }, + { + "epoch": 0.98, + "grad_norm": 1.7008918204649297, + "learning_rate": 1.365677293730272e-08, + "loss": 0.8562, + "step": 41761 + }, + { + "epoch": 0.98, + "grad_norm": 0.7664529464257273, + "learning_rate": 1.3616937297837863e-08, + "loss": 0.7253, + "step": 41762 + }, + { + "epoch": 0.98, + "grad_norm": 2.081750715790304, + "learning_rate": 1.3577159802256045e-08, + "loss": 0.7602, + "step": 41763 + }, + { + "epoch": 0.98, + "grad_norm": 1.599984469137709, + "learning_rate": 1.3537440450790417e-08, + "loss": 0.9565, + "step": 41764 + }, + { + "epoch": 0.98, + "grad_norm": 1.5151512425631979, + "learning_rate": 1.3497779243670794e-08, + "loss": 0.8642, + "step": 41765 + }, + { + "epoch": 0.98, + "grad_norm": 1.514279797401002, + "learning_rate": 1.3458176181129211e-08, + "loss": 0.8163, + "step": 41766 + }, + { + "epoch": 0.98, + "grad_norm": 1.505583430114054, + "learning_rate": 1.3418631263395487e-08, + "loss": 0.8058, + "step": 41767 + }, + { + "epoch": 0.98, + "grad_norm": 1.6208652784706579, + "learning_rate": 1.3379144490700546e-08, + "loss": 0.8205, + "step": 41768 + }, + { + "epoch": 0.98, + "grad_norm": 1.6741584410315344, + "learning_rate": 1.3339715863273094e-08, + "loss": 0.8278, + "step": 41769 + }, + { + "epoch": 0.98, + "grad_norm": 1.3766498747685099, + "learning_rate": 1.330034538134517e-08, + "loss": 0.8851, + "step": 41770 + }, + { + "epoch": 0.98, + "grad_norm": 1.5673511949251333, + "learning_rate": 1.3261033045143257e-08, + "loss": 0.826, + "step": 41771 + }, + { + "epoch": 0.98, + "grad_norm": 0.770956985127694, + "learning_rate": 1.3221778854897171e-08, + "loss": 0.6826, + "step": 41772 + }, + { + "epoch": 0.98, + "grad_norm": 2.0939528849092284, + "learning_rate": 1.318258281083562e-08, + "loss": 0.7752, + "step": 41773 + }, + { + "epoch": 0.98, + "grad_norm": 1.5953912445702998, + "learning_rate": 1.3143444913187309e-08, + "loss": 0.7945, + "step": 41774 + }, + { + "epoch": 0.98, + "grad_norm": 1.5860671621085303, + "learning_rate": 1.3104365162179833e-08, + "loss": 0.7202, + "step": 41775 + }, + { + "epoch": 0.98, + "grad_norm": 1.47842307227049, + "learning_rate": 1.3065343558040789e-08, + "loss": 0.8445, + "step": 41776 + }, + { + "epoch": 0.98, + "grad_norm": 1.6531876977255968, + "learning_rate": 1.302638010099666e-08, + "loss": 0.904, + "step": 41777 + }, + { + "epoch": 0.98, + "grad_norm": 1.787510177854233, + "learning_rate": 1.2987474791273936e-08, + "loss": 0.84, + "step": 41778 + }, + { + "epoch": 0.98, + "grad_norm": 0.7773640668313034, + "learning_rate": 1.2948627629101318e-08, + "loss": 0.73, + "step": 41779 + }, + { + "epoch": 0.98, + "grad_norm": 0.7723555908997133, + "learning_rate": 1.2909838614703073e-08, + "loss": 0.6962, + "step": 41780 + }, + { + "epoch": 0.98, + "grad_norm": 1.7641394592611792, + "learning_rate": 1.287110774830569e-08, + "loss": 0.8708, + "step": 41781 + }, + { + "epoch": 0.98, + "grad_norm": 1.4182773841135774, + "learning_rate": 1.2832435030133427e-08, + "loss": 0.7146, + "step": 41782 + }, + { + "epoch": 0.98, + "grad_norm": 1.5594697974296043, + "learning_rate": 1.2793820460413886e-08, + "loss": 0.952, + "step": 41783 + }, + { + "epoch": 0.98, + "grad_norm": 1.9136225943876188, + "learning_rate": 1.275526403937022e-08, + "loss": 0.8105, + "step": 41784 + }, + { + "epoch": 0.98, + "grad_norm": 1.7903445733173156, + "learning_rate": 1.2716765767227801e-08, + "loss": 0.8372, + "step": 41785 + }, + { + "epoch": 0.98, + "grad_norm": 1.7099515194466044, + "learning_rate": 1.2678325644209789e-08, + "loss": 0.7248, + "step": 41786 + }, + { + "epoch": 0.98, + "grad_norm": 1.6244074965330875, + "learning_rate": 1.2639943670540445e-08, + "loss": 0.8816, + "step": 41787 + }, + { + "epoch": 0.98, + "grad_norm": 1.9565409824431703, + "learning_rate": 1.2601619846444035e-08, + "loss": 0.8607, + "step": 41788 + }, + { + "epoch": 0.98, + "grad_norm": 1.5092825529478509, + "learning_rate": 1.2563354172142605e-08, + "loss": 0.7643, + "step": 41789 + }, + { + "epoch": 0.98, + "grad_norm": 2.0063076610331754, + "learning_rate": 1.252514664785931e-08, + "loss": 0.7116, + "step": 41790 + }, + { + "epoch": 0.98, + "grad_norm": 1.4911911709542738, + "learning_rate": 1.2486997273816192e-08, + "loss": 0.7233, + "step": 41791 + }, + { + "epoch": 0.98, + "grad_norm": 1.9158075823609098, + "learning_rate": 1.2448906050236408e-08, + "loss": 0.8668, + "step": 41792 + }, + { + "epoch": 0.98, + "grad_norm": 1.7390170201415678, + "learning_rate": 1.2410872977340893e-08, + "loss": 0.7507, + "step": 41793 + }, + { + "epoch": 0.98, + "grad_norm": 0.7717696628142487, + "learning_rate": 1.2372898055350579e-08, + "loss": 0.6875, + "step": 41794 + }, + { + "epoch": 0.98, + "grad_norm": 0.8091833864668897, + "learning_rate": 1.2334981284487513e-08, + "loss": 0.6861, + "step": 41795 + }, + { + "epoch": 0.98, + "grad_norm": 1.483154160476019, + "learning_rate": 1.2297122664972627e-08, + "loss": 0.8359, + "step": 41796 + }, + { + "epoch": 0.98, + "grad_norm": 1.4792422523556608, + "learning_rate": 1.2259322197025747e-08, + "loss": 0.8359, + "step": 41797 + }, + { + "epoch": 0.98, + "grad_norm": 1.5527333366230125, + "learning_rate": 1.2221579880867807e-08, + "loss": 0.7863, + "step": 41798 + }, + { + "epoch": 0.98, + "grad_norm": 2.5511495158495103, + "learning_rate": 1.218389571671752e-08, + "loss": 0.8506, + "step": 41799 + }, + { + "epoch": 0.98, + "grad_norm": 1.7512172762991352, + "learning_rate": 1.2146269704793601e-08, + "loss": 0.7505, + "step": 41800 + }, + { + "epoch": 0.98, + "grad_norm": 1.6020943743786564, + "learning_rate": 1.2108701845318094e-08, + "loss": 0.9411, + "step": 41801 + }, + { + "epoch": 0.98, + "grad_norm": 3.302668697518668, + "learning_rate": 1.2071192138506382e-08, + "loss": 0.8074, + "step": 41802 + }, + { + "epoch": 0.98, + "grad_norm": 1.497045016374426, + "learning_rate": 1.203374058457829e-08, + "loss": 0.8995, + "step": 41803 + }, + { + "epoch": 0.98, + "grad_norm": 0.7194853497576028, + "learning_rate": 1.1996347183752532e-08, + "loss": 0.7279, + "step": 41804 + }, + { + "epoch": 0.98, + "grad_norm": 1.6635018321188675, + "learning_rate": 1.1959011936246712e-08, + "loss": 0.7703, + "step": 41805 + }, + { + "epoch": 0.98, + "grad_norm": 1.826780710576579, + "learning_rate": 1.1921734842277321e-08, + "loss": 0.7173, + "step": 41806 + }, + { + "epoch": 0.98, + "grad_norm": 1.7857924369923905, + "learning_rate": 1.1884515902060856e-08, + "loss": 0.8969, + "step": 41807 + }, + { + "epoch": 0.98, + "grad_norm": 2.440825054739088, + "learning_rate": 1.1847355115814918e-08, + "loss": 0.9136, + "step": 41808 + }, + { + "epoch": 0.98, + "grad_norm": 1.568029226012399, + "learning_rate": 1.1810252483757112e-08, + "loss": 0.8575, + "step": 41809 + }, + { + "epoch": 0.99, + "grad_norm": 1.5735941628549122, + "learning_rate": 1.177320800610171e-08, + "loss": 0.853, + "step": 41810 + }, + { + "epoch": 0.99, + "grad_norm": 0.7558280079631566, + "learning_rate": 1.1736221683064097e-08, + "loss": 0.6791, + "step": 41811 + }, + { + "epoch": 0.99, + "grad_norm": 1.963477297104431, + "learning_rate": 1.1699293514861877e-08, + "loss": 0.7929, + "step": 41812 + }, + { + "epoch": 0.99, + "grad_norm": 1.4411581610844129, + "learning_rate": 1.1662423501707099e-08, + "loss": 0.7739, + "step": 41813 + }, + { + "epoch": 0.99, + "grad_norm": 1.7679486971994107, + "learning_rate": 1.162561164381737e-08, + "loss": 0.9203, + "step": 41814 + }, + { + "epoch": 0.99, + "grad_norm": 1.5044642287650345, + "learning_rate": 1.158885794140474e-08, + "loss": 0.9054, + "step": 41815 + }, + { + "epoch": 0.99, + "grad_norm": 1.5440968089715525, + "learning_rate": 1.1552162394684596e-08, + "loss": 0.7499, + "step": 41816 + }, + { + "epoch": 0.99, + "grad_norm": 1.5838764775106966, + "learning_rate": 1.1515525003868988e-08, + "loss": 0.889, + "step": 41817 + }, + { + "epoch": 0.99, + "grad_norm": 1.489219188990583, + "learning_rate": 1.14789457691733e-08, + "loss": 0.6913, + "step": 41818 + }, + { + "epoch": 0.99, + "grad_norm": 1.657735605418852, + "learning_rate": 1.1442424690809584e-08, + "loss": 0.8796, + "step": 41819 + }, + { + "epoch": 0.99, + "grad_norm": 1.3825507282444414, + "learning_rate": 1.1405961768989893e-08, + "loss": 0.8159, + "step": 41820 + }, + { + "epoch": 0.99, + "grad_norm": 1.4930097565014244, + "learning_rate": 1.1369557003927389e-08, + "loss": 0.8827, + "step": 41821 + }, + { + "epoch": 0.99, + "grad_norm": 1.7069829282942917, + "learning_rate": 1.1333210395833017e-08, + "loss": 0.8071, + "step": 41822 + }, + { + "epoch": 0.99, + "grad_norm": 2.205907812755376, + "learning_rate": 1.1296921944919936e-08, + "loss": 0.8258, + "step": 41823 + }, + { + "epoch": 0.99, + "grad_norm": 1.9859198414205894, + "learning_rate": 1.126069165139798e-08, + "loss": 0.9403, + "step": 41824 + }, + { + "epoch": 0.99, + "grad_norm": 1.4430082497825907, + "learning_rate": 1.1224519515478095e-08, + "loss": 0.8616, + "step": 41825 + }, + { + "epoch": 0.99, + "grad_norm": 2.274874287457045, + "learning_rate": 1.1188405537372327e-08, + "loss": 0.8372, + "step": 41826 + }, + { + "epoch": 0.99, + "grad_norm": 1.7410609857142372, + "learning_rate": 1.1152349717290512e-08, + "loss": 0.8634, + "step": 41827 + }, + { + "epoch": 0.99, + "grad_norm": 1.4896803805729928, + "learning_rate": 1.111635205544137e-08, + "loss": 0.81, + "step": 41828 + }, + { + "epoch": 0.99, + "grad_norm": 1.6649523642731918, + "learning_rate": 1.1080412552034736e-08, + "loss": 0.8228, + "step": 41829 + }, + { + "epoch": 0.99, + "grad_norm": 1.5943933429419541, + "learning_rate": 1.104453120728155e-08, + "loss": 0.8003, + "step": 41830 + }, + { + "epoch": 0.99, + "grad_norm": 1.5365457851387168, + "learning_rate": 1.1008708021389426e-08, + "loss": 0.8894, + "step": 41831 + }, + { + "epoch": 0.99, + "grad_norm": 1.5207232624949443, + "learning_rate": 1.0972942994565971e-08, + "loss": 0.7796, + "step": 41832 + }, + { + "epoch": 0.99, + "grad_norm": 1.6213608153732515, + "learning_rate": 1.0937236127022133e-08, + "loss": 0.8403, + "step": 41833 + }, + { + "epoch": 0.99, + "grad_norm": 1.591735351962779, + "learning_rate": 1.0901587418962189e-08, + "loss": 0.8718, + "step": 41834 + }, + { + "epoch": 0.99, + "grad_norm": 0.7799956973582244, + "learning_rate": 1.0865996870597084e-08, + "loss": 0.7088, + "step": 41835 + }, + { + "epoch": 0.99, + "grad_norm": 1.5531959745946426, + "learning_rate": 1.0830464482132208e-08, + "loss": 0.8031, + "step": 41836 + }, + { + "epoch": 0.99, + "grad_norm": 2.6893701468364837, + "learning_rate": 1.0794990253775172e-08, + "loss": 0.7609, + "step": 41837 + }, + { + "epoch": 0.99, + "grad_norm": 0.7193990039996612, + "learning_rate": 1.075957418573248e-08, + "loss": 0.6748, + "step": 41838 + }, + { + "epoch": 0.99, + "grad_norm": 1.4909796165716593, + "learning_rate": 1.072421627820952e-08, + "loss": 0.7789, + "step": 41839 + }, + { + "epoch": 0.99, + "grad_norm": 1.5940231082739216, + "learning_rate": 1.0688916531412796e-08, + "loss": 0.8354, + "step": 41840 + }, + { + "epoch": 0.99, + "grad_norm": 1.7278837487797885, + "learning_rate": 1.0653674945547699e-08, + "loss": 0.8936, + "step": 41841 + }, + { + "epoch": 0.99, + "grad_norm": 1.8083565261078165, + "learning_rate": 1.0618491520819619e-08, + "loss": 0.855, + "step": 41842 + }, + { + "epoch": 0.99, + "grad_norm": 1.5414987243188247, + "learning_rate": 1.0583366257432836e-08, + "loss": 0.8962, + "step": 41843 + }, + { + "epoch": 0.99, + "grad_norm": 1.4804398615957626, + "learning_rate": 1.0548299155593855e-08, + "loss": 0.8693, + "step": 41844 + }, + { + "epoch": 0.99, + "grad_norm": 1.5093458071273713, + "learning_rate": 1.0513290215503624e-08, + "loss": 0.8485, + "step": 41845 + }, + { + "epoch": 0.99, + "grad_norm": 1.700737714214359, + "learning_rate": 1.0478339437368645e-08, + "loss": 0.8377, + "step": 41846 + }, + { + "epoch": 0.99, + "grad_norm": 1.6853186686598494, + "learning_rate": 1.044344682139098e-08, + "loss": 0.8598, + "step": 41847 + }, + { + "epoch": 0.99, + "grad_norm": 1.4866875396514914, + "learning_rate": 1.0408612367773796e-08, + "loss": 0.7418, + "step": 41848 + }, + { + "epoch": 0.99, + "grad_norm": 1.5033244779420236, + "learning_rate": 1.0373836076720267e-08, + "loss": 0.7074, + "step": 41849 + }, + { + "epoch": 0.99, + "grad_norm": 1.6497303407926267, + "learning_rate": 1.0339117948433564e-08, + "loss": 0.8233, + "step": 41850 + }, + { + "epoch": 0.99, + "grad_norm": 1.8799858348657497, + "learning_rate": 1.0304457983114636e-08, + "loss": 0.8587, + "step": 41851 + }, + { + "epoch": 0.99, + "grad_norm": 1.7630237809581055, + "learning_rate": 1.0269856180966653e-08, + "loss": 0.7579, + "step": 41852 + }, + { + "epoch": 0.99, + "grad_norm": 1.6670863201826625, + "learning_rate": 1.0235312542189458e-08, + "loss": 0.8046, + "step": 41853 + }, + { + "epoch": 0.99, + "grad_norm": 12.538942930418896, + "learning_rate": 1.0200827066986219e-08, + "loss": 0.8679, + "step": 41854 + }, + { + "epoch": 0.99, + "grad_norm": 1.5430123242090847, + "learning_rate": 1.0166399755554557e-08, + "loss": 0.7431, + "step": 41855 + }, + { + "epoch": 0.99, + "grad_norm": 0.7459468229953221, + "learning_rate": 1.0132030608098752e-08, + "loss": 0.72, + "step": 41856 + }, + { + "epoch": 0.99, + "grad_norm": 1.6209300827513866, + "learning_rate": 1.0097719624815316e-08, + "loss": 0.8657, + "step": 41857 + }, + { + "epoch": 0.99, + "grad_norm": 1.6039018163932437, + "learning_rate": 1.0063466805907418e-08, + "loss": 0.8369, + "step": 41858 + }, + { + "epoch": 0.99, + "grad_norm": 0.7999463376941315, + "learning_rate": 1.0029272151571567e-08, + "loss": 0.6811, + "step": 41859 + }, + { + "epoch": 0.99, + "grad_norm": 1.7802888269734918, + "learning_rate": 9.995135662007604e-09, + "loss": 0.7922, + "step": 41860 + }, + { + "epoch": 0.99, + "grad_norm": 1.5808047499789728, + "learning_rate": 9.96105733741648e-09, + "loss": 0.8611, + "step": 41861 + }, + { + "epoch": 0.99, + "grad_norm": 0.7530616195581469, + "learning_rate": 9.927037177993593e-09, + "loss": 0.7375, + "step": 41862 + }, + { + "epoch": 0.99, + "grad_norm": 1.6377257072102507, + "learning_rate": 9.893075183938783e-09, + "loss": 0.878, + "step": 41863 + }, + { + "epoch": 0.99, + "grad_norm": 1.6523500227780914, + "learning_rate": 9.859171355448561e-09, + "loss": 0.7517, + "step": 41864 + }, + { + "epoch": 0.99, + "grad_norm": 1.6049837807483927, + "learning_rate": 9.825325692721654e-09, + "loss": 0.781, + "step": 41865 + }, + { + "epoch": 0.99, + "grad_norm": 1.7063274343792814, + "learning_rate": 9.791538195954575e-09, + "loss": 0.9295, + "step": 41866 + }, + { + "epoch": 0.99, + "grad_norm": 2.1929138570046223, + "learning_rate": 9.757808865343831e-09, + "loss": 0.9369, + "step": 41867 + }, + { + "epoch": 0.99, + "grad_norm": 1.6912130503666614, + "learning_rate": 9.724137701085933e-09, + "loss": 0.7955, + "step": 41868 + }, + { + "epoch": 0.99, + "grad_norm": 1.7204453327680194, + "learning_rate": 9.690524703377391e-09, + "loss": 1.0012, + "step": 41869 + }, + { + "epoch": 0.99, + "grad_norm": 1.6433619315980652, + "learning_rate": 9.656969872413601e-09, + "loss": 0.8682, + "step": 41870 + }, + { + "epoch": 0.99, + "grad_norm": 1.4880636097846032, + "learning_rate": 9.623473208388855e-09, + "loss": 0.8735, + "step": 41871 + }, + { + "epoch": 0.99, + "grad_norm": 1.5631332750661575, + "learning_rate": 9.590034711499663e-09, + "loss": 0.9165, + "step": 41872 + }, + { + "epoch": 0.99, + "grad_norm": 1.6581816368597866, + "learning_rate": 9.556654381940311e-09, + "loss": 0.7218, + "step": 41873 + }, + { + "epoch": 0.99, + "grad_norm": 1.594711909125336, + "learning_rate": 9.523332219905091e-09, + "loss": 0.6793, + "step": 41874 + }, + { + "epoch": 0.99, + "grad_norm": 1.6107479452022697, + "learning_rate": 9.490068225588289e-09, + "loss": 0.7793, + "step": 41875 + }, + { + "epoch": 0.99, + "grad_norm": 1.6651167315884885, + "learning_rate": 9.456862399183087e-09, + "loss": 0.8699, + "step": 41876 + }, + { + "epoch": 0.99, + "grad_norm": 1.5926780768067188, + "learning_rate": 9.423714740882661e-09, + "loss": 0.8986, + "step": 41877 + }, + { + "epoch": 0.99, + "grad_norm": 1.7478886855230067, + "learning_rate": 9.390625250880191e-09, + "loss": 0.9168, + "step": 41878 + }, + { + "epoch": 0.99, + "grad_norm": 1.800321635559154, + "learning_rate": 9.357593929368857e-09, + "loss": 0.8619, + "step": 41879 + }, + { + "epoch": 0.99, + "grad_norm": 1.6120234456393763, + "learning_rate": 9.324620776540727e-09, + "loss": 0.932, + "step": 41880 + }, + { + "epoch": 0.99, + "grad_norm": 1.8144654555326503, + "learning_rate": 9.291705792586758e-09, + "loss": 0.8277, + "step": 41881 + }, + { + "epoch": 0.99, + "grad_norm": 1.4241758457996683, + "learning_rate": 9.25884897770013e-09, + "loss": 0.7159, + "step": 41882 + }, + { + "epoch": 0.99, + "grad_norm": 1.5843784439088398, + "learning_rate": 9.226050332071801e-09, + "loss": 0.8455, + "step": 41883 + }, + { + "epoch": 0.99, + "grad_norm": 0.8638277087814255, + "learning_rate": 9.193309855891619e-09, + "loss": 0.7336, + "step": 41884 + }, + { + "epoch": 0.99, + "grad_norm": 1.6471199706081168, + "learning_rate": 9.160627549351652e-09, + "loss": 0.7834, + "step": 41885 + }, + { + "epoch": 0.99, + "grad_norm": 1.7261456402114468, + "learning_rate": 9.12800341264175e-09, + "loss": 0.9011, + "step": 41886 + }, + { + "epoch": 0.99, + "grad_norm": 1.7269119908162536, + "learning_rate": 9.095437445950651e-09, + "loss": 0.798, + "step": 41887 + }, + { + "epoch": 0.99, + "grad_norm": 7.152220822013732, + "learning_rate": 9.06292964947042e-09, + "loss": 0.8323, + "step": 41888 + }, + { + "epoch": 0.99, + "grad_norm": 1.5208600270792056, + "learning_rate": 9.030480023387579e-09, + "loss": 0.9764, + "step": 41889 + }, + { + "epoch": 0.99, + "grad_norm": 1.825497451724092, + "learning_rate": 8.998088567893081e-09, + "loss": 0.8893, + "step": 41890 + }, + { + "epoch": 0.99, + "grad_norm": 2.193770268210044, + "learning_rate": 8.96575528317456e-09, + "loss": 0.7398, + "step": 41891 + }, + { + "epoch": 0.99, + "grad_norm": 1.5672470653618171, + "learning_rate": 8.93348016942075e-09, + "loss": 0.7696, + "step": 41892 + }, + { + "epoch": 0.99, + "grad_norm": 1.7893129917086192, + "learning_rate": 8.90126322681928e-09, + "loss": 0.7807, + "step": 41893 + }, + { + "epoch": 0.99, + "grad_norm": 1.5652899618974498, + "learning_rate": 8.869104455557776e-09, + "loss": 0.8135, + "step": 41894 + }, + { + "epoch": 0.99, + "grad_norm": 1.7927124173548392, + "learning_rate": 8.837003855822756e-09, + "loss": 0.878, + "step": 41895 + }, + { + "epoch": 0.99, + "grad_norm": 1.875730332103803, + "learning_rate": 8.804961427802961e-09, + "loss": 0.7955, + "step": 41896 + }, + { + "epoch": 0.99, + "grad_norm": 0.7434252834276223, + "learning_rate": 8.772977171682684e-09, + "loss": 0.7038, + "step": 41897 + }, + { + "epoch": 0.99, + "grad_norm": 1.8379959346015657, + "learning_rate": 8.741051087650665e-09, + "loss": 0.8462, + "step": 41898 + }, + { + "epoch": 0.99, + "grad_norm": 1.4267828996337253, + "learning_rate": 8.70918317589009e-09, + "loss": 0.6702, + "step": 41899 + }, + { + "epoch": 0.99, + "grad_norm": 1.989018280368812, + "learning_rate": 8.677373436588588e-09, + "loss": 0.8926, + "step": 41900 + }, + { + "epoch": 0.99, + "grad_norm": 0.7690685624450557, + "learning_rate": 8.645621869930453e-09, + "loss": 0.7064, + "step": 41901 + }, + { + "epoch": 0.99, + "grad_norm": 1.905596774365902, + "learning_rate": 8.613928476101097e-09, + "loss": 0.8478, + "step": 41902 + }, + { + "epoch": 0.99, + "grad_norm": 1.9461582365098065, + "learning_rate": 8.582293255284813e-09, + "loss": 0.8164, + "step": 41903 + }, + { + "epoch": 0.99, + "grad_norm": 1.6601419079385469, + "learning_rate": 8.550716207664788e-09, + "loss": 0.9181, + "step": 41904 + }, + { + "epoch": 0.99, + "grad_norm": 1.7615748612042184, + "learning_rate": 8.519197333426431e-09, + "loss": 0.9252, + "step": 41905 + }, + { + "epoch": 0.99, + "grad_norm": 1.6707142349727042, + "learning_rate": 8.48773663275182e-09, + "loss": 0.9549, + "step": 41906 + }, + { + "epoch": 0.99, + "grad_norm": 2.1421303850952187, + "learning_rate": 8.456334105825248e-09, + "loss": 0.7236, + "step": 41907 + }, + { + "epoch": 0.99, + "grad_norm": 0.7777113867511471, + "learning_rate": 8.424989752829904e-09, + "loss": 0.6998, + "step": 41908 + }, + { + "epoch": 0.99, + "grad_norm": 1.4748783991160097, + "learning_rate": 8.393703573946754e-09, + "loss": 0.837, + "step": 41909 + }, + { + "epoch": 0.99, + "grad_norm": 1.742148068876152, + "learning_rate": 8.362475569358985e-09, + "loss": 0.7714, + "step": 41910 + }, + { + "epoch": 0.99, + "grad_norm": 2.04838410661873, + "learning_rate": 8.331305739247565e-09, + "loss": 0.7956, + "step": 41911 + }, + { + "epoch": 0.99, + "grad_norm": 1.8553210162025475, + "learning_rate": 8.300194083795676e-09, + "loss": 0.7465, + "step": 41912 + }, + { + "epoch": 0.99, + "grad_norm": 1.7560498216507465, + "learning_rate": 8.269140603182069e-09, + "loss": 0.8179, + "step": 41913 + }, + { + "epoch": 0.99, + "grad_norm": 2.697039096624039, + "learning_rate": 8.238145297589927e-09, + "loss": 0.6841, + "step": 41914 + }, + { + "epoch": 0.99, + "grad_norm": 1.535412404141047, + "learning_rate": 8.207208167198e-09, + "loss": 0.7341, + "step": 41915 + }, + { + "epoch": 0.99, + "grad_norm": 1.7767927537456556, + "learning_rate": 8.176329212187251e-09, + "loss": 0.8861, + "step": 41916 + }, + { + "epoch": 0.99, + "grad_norm": 1.5945348144552562, + "learning_rate": 8.145508432737537e-09, + "loss": 0.9093, + "step": 41917 + }, + { + "epoch": 0.99, + "grad_norm": 1.5663619310900436, + "learning_rate": 8.114745829027604e-09, + "loss": 0.797, + "step": 41918 + }, + { + "epoch": 0.99, + "grad_norm": 1.5328654095740561, + "learning_rate": 8.084041401237308e-09, + "loss": 0.9, + "step": 41919 + }, + { + "epoch": 0.99, + "grad_norm": 1.9297411007533904, + "learning_rate": 8.053395149545395e-09, + "loss": 0.7581, + "step": 41920 + }, + { + "epoch": 0.99, + "grad_norm": 1.6483682791924432, + "learning_rate": 8.022807074129501e-09, + "loss": 0.9214, + "step": 41921 + }, + { + "epoch": 0.99, + "grad_norm": 1.939298238516844, + "learning_rate": 7.992277175168373e-09, + "loss": 0.7522, + "step": 41922 + }, + { + "epoch": 0.99, + "grad_norm": 1.6047272257907268, + "learning_rate": 7.961805452839644e-09, + "loss": 0.8724, + "step": 41923 + }, + { + "epoch": 0.99, + "grad_norm": 1.655936855846607, + "learning_rate": 7.931391907320951e-09, + "loss": 0.808, + "step": 41924 + }, + { + "epoch": 0.99, + "grad_norm": 1.6597993441469099, + "learning_rate": 7.901036538788819e-09, + "loss": 0.8568, + "step": 41925 + }, + { + "epoch": 0.99, + "grad_norm": 1.5578262255724826, + "learning_rate": 7.870739347420886e-09, + "loss": 0.7799, + "step": 41926 + }, + { + "epoch": 0.99, + "grad_norm": 1.6863981912384889, + "learning_rate": 7.840500333392565e-09, + "loss": 0.7154, + "step": 41927 + }, + { + "epoch": 0.99, + "grad_norm": 1.4828156405451518, + "learning_rate": 7.81031949688038e-09, + "loss": 0.9089, + "step": 41928 + }, + { + "epoch": 0.99, + "grad_norm": 1.7611093082519496, + "learning_rate": 7.78019683805975e-09, + "loss": 0.8068, + "step": 41929 + }, + { + "epoch": 0.99, + "grad_norm": 1.4417432808807757, + "learning_rate": 7.750132357106089e-09, + "loss": 0.8828, + "step": 41930 + }, + { + "epoch": 0.99, + "grad_norm": 1.5978511178883397, + "learning_rate": 7.72012605419481e-09, + "loss": 0.7744, + "step": 41931 + }, + { + "epoch": 0.99, + "grad_norm": 0.7461684686580133, + "learning_rate": 7.69017792950022e-09, + "loss": 0.6518, + "step": 41932 + }, + { + "epoch": 0.99, + "grad_norm": 1.548792307624905, + "learning_rate": 7.660287983197735e-09, + "loss": 0.8971, + "step": 41933 + }, + { + "epoch": 0.99, + "grad_norm": 1.532557098215765, + "learning_rate": 7.630456215460546e-09, + "loss": 0.7483, + "step": 41934 + }, + { + "epoch": 0.99, + "grad_norm": 1.7211683818785448, + "learning_rate": 7.600682626461853e-09, + "loss": 0.817, + "step": 41935 + }, + { + "epoch": 0.99, + "grad_norm": 1.6492565005064208, + "learning_rate": 7.570967216374847e-09, + "loss": 0.6878, + "step": 41936 + }, + { + "epoch": 0.99, + "grad_norm": 1.8267000380934253, + "learning_rate": 7.541309985373834e-09, + "loss": 0.7692, + "step": 41937 + }, + { + "epoch": 0.99, + "grad_norm": 1.760880614854285, + "learning_rate": 7.51171093363201e-09, + "loss": 0.8254, + "step": 41938 + }, + { + "epoch": 0.99, + "grad_norm": 2.0403560320965703, + "learning_rate": 7.482170061319238e-09, + "loss": 0.9892, + "step": 41939 + }, + { + "epoch": 0.99, + "grad_norm": 1.825487752671865, + "learning_rate": 7.452687368608713e-09, + "loss": 0.8799, + "step": 41940 + }, + { + "epoch": 0.99, + "grad_norm": 1.608576667588643, + "learning_rate": 7.42326285567363e-09, + "loss": 0.8642, + "step": 41941 + }, + { + "epoch": 0.99, + "grad_norm": 1.5503941592660735, + "learning_rate": 7.393896522682742e-09, + "loss": 0.8697, + "step": 41942 + }, + { + "epoch": 0.99, + "grad_norm": 1.545473521731658, + "learning_rate": 7.364588369808135e-09, + "loss": 0.9147, + "step": 41943 + }, + { + "epoch": 0.99, + "grad_norm": 1.6694502539583016, + "learning_rate": 7.335338397220782e-09, + "loss": 0.851, + "step": 41944 + }, + { + "epoch": 0.99, + "grad_norm": 0.7850567203928347, + "learning_rate": 7.306146605090547e-09, + "loss": 0.739, + "step": 41945 + }, + { + "epoch": 0.99, + "grad_norm": 1.5764003821824117, + "learning_rate": 7.277012993588406e-09, + "loss": 0.7573, + "step": 41946 + }, + { + "epoch": 0.99, + "grad_norm": 1.7625140071124823, + "learning_rate": 7.247937562882001e-09, + "loss": 0.7982, + "step": 41947 + }, + { + "epoch": 0.99, + "grad_norm": 1.5782034719346079, + "learning_rate": 7.218920313142308e-09, + "loss": 0.8349, + "step": 41948 + }, + { + "epoch": 0.99, + "grad_norm": 1.5928420214911378, + "learning_rate": 7.1899612445380795e-09, + "loss": 0.9107, + "step": 41949 + }, + { + "epoch": 0.99, + "grad_norm": 1.5315856906040244, + "learning_rate": 7.16106035723696e-09, + "loss": 0.8793, + "step": 41950 + }, + { + "epoch": 0.99, + "grad_norm": 3.9511578369100437, + "learning_rate": 7.132217651407702e-09, + "loss": 0.7668, + "step": 41951 + }, + { + "epoch": 0.99, + "grad_norm": 1.8453358178445545, + "learning_rate": 7.103433127219061e-09, + "loss": 0.7536, + "step": 41952 + }, + { + "epoch": 0.99, + "grad_norm": 1.338734503312036, + "learning_rate": 7.074706784837571e-09, + "loss": 0.8466, + "step": 41953 + }, + { + "epoch": 0.99, + "grad_norm": 1.731644689046437, + "learning_rate": 7.0460386244308735e-09, + "loss": 0.9123, + "step": 41954 + }, + { + "epoch": 0.99, + "grad_norm": 1.5413688471965805, + "learning_rate": 7.017428646165503e-09, + "loss": 0.8488, + "step": 41955 + }, + { + "epoch": 0.99, + "grad_norm": 1.7010266652499269, + "learning_rate": 6.988876850209103e-09, + "loss": 0.8788, + "step": 41956 + }, + { + "epoch": 0.99, + "grad_norm": 1.5969658230317705, + "learning_rate": 6.960383236727098e-09, + "loss": 0.8973, + "step": 41957 + }, + { + "epoch": 0.99, + "grad_norm": 1.5688416152250688, + "learning_rate": 6.931947805884909e-09, + "loss": 0.7635, + "step": 41958 + }, + { + "epoch": 0.99, + "grad_norm": 0.7734033156233038, + "learning_rate": 6.903570557849071e-09, + "loss": 0.6726, + "step": 41959 + }, + { + "epoch": 0.99, + "grad_norm": 1.575006427709941, + "learning_rate": 6.875251492783897e-09, + "loss": 0.83, + "step": 41960 + }, + { + "epoch": 0.99, + "grad_norm": 1.576319255790347, + "learning_rate": 6.8469906108559195e-09, + "loss": 0.8118, + "step": 41961 + }, + { + "epoch": 0.99, + "grad_norm": 1.576407000500549, + "learning_rate": 6.8187879122272315e-09, + "loss": 0.7654, + "step": 41962 + }, + { + "epoch": 0.99, + "grad_norm": 1.5964130524030458, + "learning_rate": 6.790643397064367e-09, + "loss": 0.8384, + "step": 41963 + }, + { + "epoch": 0.99, + "grad_norm": 0.7394951425594846, + "learning_rate": 6.762557065529418e-09, + "loss": 0.7773, + "step": 41964 + }, + { + "epoch": 0.99, + "grad_norm": 1.4795064079589548, + "learning_rate": 6.734528917786698e-09, + "loss": 0.7277, + "step": 41965 + }, + { + "epoch": 0.99, + "grad_norm": 1.4399657933980936, + "learning_rate": 6.706558953999409e-09, + "loss": 0.7273, + "step": 41966 + }, + { + "epoch": 0.99, + "grad_norm": 1.5635406703556178, + "learning_rate": 6.678647174330755e-09, + "loss": 0.893, + "step": 41967 + }, + { + "epoch": 0.99, + "grad_norm": 0.7593951573342264, + "learning_rate": 6.650793578942827e-09, + "loss": 0.6539, + "step": 41968 + }, + { + "epoch": 0.99, + "grad_norm": 1.7796193960428932, + "learning_rate": 6.622998167997718e-09, + "loss": 0.7507, + "step": 41969 + }, + { + "epoch": 0.99, + "grad_norm": 2.926229691534594, + "learning_rate": 6.595260941657522e-09, + "loss": 0.7918, + "step": 41970 + }, + { + "epoch": 0.99, + "grad_norm": 1.8012444955740998, + "learning_rate": 6.56758190008322e-09, + "loss": 0.9175, + "step": 41971 + }, + { + "epoch": 0.99, + "grad_norm": 4.106170614193945, + "learning_rate": 6.539961043436904e-09, + "loss": 0.8742, + "step": 41972 + }, + { + "epoch": 0.99, + "grad_norm": 1.6535227739836635, + "learning_rate": 6.512398371877338e-09, + "loss": 0.8792, + "step": 41973 + }, + { + "epoch": 0.99, + "grad_norm": 1.737138964879444, + "learning_rate": 6.484893885567722e-09, + "loss": 0.7315, + "step": 41974 + }, + { + "epoch": 0.99, + "grad_norm": 1.613828741706436, + "learning_rate": 6.457447584666821e-09, + "loss": 0.8071, + "step": 41975 + }, + { + "epoch": 0.99, + "grad_norm": 1.6353938154141876, + "learning_rate": 6.430059469334504e-09, + "loss": 0.8622, + "step": 41976 + }, + { + "epoch": 0.99, + "grad_norm": 1.6123664234805481, + "learning_rate": 6.4027295397306455e-09, + "loss": 0.7494, + "step": 41977 + }, + { + "epoch": 0.99, + "grad_norm": 1.5210229633056638, + "learning_rate": 6.375457796014006e-09, + "loss": 0.7925, + "step": 41978 + }, + { + "epoch": 0.99, + "grad_norm": 1.6174267254700743, + "learning_rate": 6.3482442383422385e-09, + "loss": 0.8786, + "step": 41979 + }, + { + "epoch": 0.99, + "grad_norm": 1.7956070073129142, + "learning_rate": 6.3210888668763235e-09, + "loss": 0.7157, + "step": 41980 + }, + { + "epoch": 0.99, + "grad_norm": 1.6448918439100395, + "learning_rate": 6.293991681771694e-09, + "loss": 0.7514, + "step": 41981 + }, + { + "epoch": 0.99, + "grad_norm": 1.9009945354531366, + "learning_rate": 6.266952683188221e-09, + "loss": 0.8137, + "step": 41982 + }, + { + "epoch": 0.99, + "grad_norm": 1.4032595012960454, + "learning_rate": 6.2399718712824465e-09, + "loss": 0.7441, + "step": 41983 + }, + { + "epoch": 0.99, + "grad_norm": 1.8685044967332287, + "learning_rate": 6.2130492462120214e-09, + "loss": 0.953, + "step": 41984 + }, + { + "epoch": 0.99, + "grad_norm": 1.507436854653997, + "learning_rate": 6.186184808132378e-09, + "loss": 0.7108, + "step": 41985 + }, + { + "epoch": 0.99, + "grad_norm": 3.918893878181222, + "learning_rate": 6.159378557201168e-09, + "loss": 0.8543, + "step": 41986 + }, + { + "epoch": 0.99, + "grad_norm": 0.7480280513478889, + "learning_rate": 6.1326304935738215e-09, + "loss": 0.6686, + "step": 41987 + }, + { + "epoch": 0.99, + "grad_norm": 1.6895498411727639, + "learning_rate": 6.10594061740577e-09, + "loss": 0.8125, + "step": 41988 + }, + { + "epoch": 0.99, + "grad_norm": 0.7422256713230387, + "learning_rate": 6.0793089288535555e-09, + "loss": 0.6618, + "step": 41989 + }, + { + "epoch": 0.99, + "grad_norm": 1.7628640235791582, + "learning_rate": 6.052735428071499e-09, + "loss": 0.773, + "step": 41990 + }, + { + "epoch": 0.99, + "grad_norm": 2.3045173040683573, + "learning_rate": 6.0262201152150315e-09, + "loss": 0.7633, + "step": 41991 + }, + { + "epoch": 0.99, + "grad_norm": 0.812994534129076, + "learning_rate": 5.999762990437363e-09, + "loss": 0.7606, + "step": 41992 + }, + { + "epoch": 0.99, + "grad_norm": 1.4548546143975325, + "learning_rate": 5.973364053892816e-09, + "loss": 0.8083, + "step": 41993 + }, + { + "epoch": 0.99, + "grad_norm": 1.9682016095126047, + "learning_rate": 5.947023305735711e-09, + "loss": 0.8459, + "step": 41994 + }, + { + "epoch": 0.99, + "grad_norm": 1.841050926938972, + "learning_rate": 5.920740746119258e-09, + "loss": 0.7342, + "step": 41995 + }, + { + "epoch": 0.99, + "grad_norm": 1.6292282833068548, + "learning_rate": 5.894516375196668e-09, + "loss": 0.8368, + "step": 41996 + }, + { + "epoch": 0.99, + "grad_norm": 1.6376517153693662, + "learning_rate": 5.868350193120043e-09, + "loss": 0.957, + "step": 41997 + }, + { + "epoch": 0.99, + "grad_norm": 1.5677425754853822, + "learning_rate": 5.842242200041481e-09, + "loss": 0.8523, + "step": 41998 + }, + { + "epoch": 0.99, + "grad_norm": 1.7163458193890406, + "learning_rate": 5.816192396114195e-09, + "loss": 0.7124, + "step": 41999 + }, + { + "epoch": 0.99, + "grad_norm": 1.5959636266286108, + "learning_rate": 5.790200781488065e-09, + "loss": 0.8304, + "step": 42000 + }, + { + "epoch": 0.99, + "grad_norm": 1.60047236498428, + "learning_rate": 5.7642673563163e-09, + "loss": 0.8714, + "step": 42001 + }, + { + "epoch": 0.99, + "grad_norm": 0.8086512786733929, + "learning_rate": 5.738392120749892e-09, + "loss": 0.708, + "step": 42002 + }, + { + "epoch": 0.99, + "grad_norm": 1.6360507396157238, + "learning_rate": 5.712575074937609e-09, + "loss": 0.7868, + "step": 42003 + }, + { + "epoch": 0.99, + "grad_norm": 1.6875467415530974, + "learning_rate": 5.686816219030444e-09, + "loss": 0.8125, + "step": 42004 + }, + { + "epoch": 0.99, + "grad_norm": 1.5564414259088013, + "learning_rate": 5.661115553179386e-09, + "loss": 0.7974, + "step": 42005 + }, + { + "epoch": 0.99, + "grad_norm": 1.9714894960538927, + "learning_rate": 5.6354730775332046e-09, + "loss": 0.8733, + "step": 42006 + }, + { + "epoch": 0.99, + "grad_norm": 1.7253191268369965, + "learning_rate": 5.60988879224178e-09, + "loss": 0.8116, + "step": 42007 + }, + { + "epoch": 0.99, + "grad_norm": 1.5733209569509938, + "learning_rate": 5.584362697453882e-09, + "loss": 0.9592, + "step": 42008 + }, + { + "epoch": 0.99, + "grad_norm": 1.4898842023871535, + "learning_rate": 5.558894793318281e-09, + "loss": 0.7801, + "step": 42009 + }, + { + "epoch": 0.99, + "grad_norm": 1.6238206246737126, + "learning_rate": 5.533485079982637e-09, + "loss": 0.8502, + "step": 42010 + }, + { + "epoch": 0.99, + "grad_norm": 1.5461110578736694, + "learning_rate": 5.508133557594608e-09, + "loss": 0.9267, + "step": 42011 + }, + { + "epoch": 0.99, + "grad_norm": 1.5745190894173169, + "learning_rate": 5.482840226302966e-09, + "loss": 0.9146, + "step": 42012 + }, + { + "epoch": 0.99, + "grad_norm": 1.613508267199235, + "learning_rate": 5.457605086254258e-09, + "loss": 0.7565, + "step": 42013 + }, + { + "epoch": 0.99, + "grad_norm": 1.7957235311448905, + "learning_rate": 5.4324281375961466e-09, + "loss": 0.911, + "step": 42014 + }, + { + "epoch": 0.99, + "grad_norm": 1.916848708740567, + "learning_rate": 5.4073093804740685e-09, + "loss": 0.907, + "step": 42015 + }, + { + "epoch": 0.99, + "grad_norm": 1.3623906113375608, + "learning_rate": 5.382248815034574e-09, + "loss": 0.741, + "step": 42016 + }, + { + "epoch": 0.99, + "grad_norm": 1.6360614399766014, + "learning_rate": 5.357246441424213e-09, + "loss": 0.9546, + "step": 42017 + }, + { + "epoch": 0.99, + "grad_norm": 0.6900423943106193, + "learning_rate": 5.332302259788424e-09, + "loss": 0.7028, + "step": 42018 + }, + { + "epoch": 0.99, + "grad_norm": 1.7555677249594162, + "learning_rate": 5.307416270272647e-09, + "loss": 0.8327, + "step": 42019 + }, + { + "epoch": 0.99, + "grad_norm": 1.6542947213497803, + "learning_rate": 5.282588473021211e-09, + "loss": 0.7745, + "step": 42020 + }, + { + "epoch": 0.99, + "grad_norm": 1.9200205924427867, + "learning_rate": 5.257818868178444e-09, + "loss": 0.9044, + "step": 42021 + }, + { + "epoch": 0.99, + "grad_norm": 1.7971206608869363, + "learning_rate": 5.2331074558886756e-09, + "loss": 0.7941, + "step": 42022 + }, + { + "epoch": 0.99, + "grad_norm": 1.432204400360843, + "learning_rate": 5.208454236296234e-09, + "loss": 0.844, + "step": 42023 + }, + { + "epoch": 0.99, + "grad_norm": 1.8276887138666706, + "learning_rate": 5.18385920954434e-09, + "loss": 0.8795, + "step": 42024 + }, + { + "epoch": 0.99, + "grad_norm": 1.681793831725793, + "learning_rate": 5.1593223757762104e-09, + "loss": 0.8211, + "step": 42025 + }, + { + "epoch": 0.99, + "grad_norm": 1.4557018697470403, + "learning_rate": 5.134843735135065e-09, + "loss": 0.9139, + "step": 42026 + }, + { + "epoch": 0.99, + "grad_norm": 1.4942313427359197, + "learning_rate": 5.110423287764121e-09, + "loss": 0.7925, + "step": 42027 + }, + { + "epoch": 0.99, + "grad_norm": 0.7702556873427607, + "learning_rate": 5.086061033803269e-09, + "loss": 0.7072, + "step": 42028 + }, + { + "epoch": 0.99, + "grad_norm": 1.6213438235066502, + "learning_rate": 5.061756973396836e-09, + "loss": 0.9244, + "step": 42029 + }, + { + "epoch": 0.99, + "grad_norm": 1.6146090975759584, + "learning_rate": 5.037511106684712e-09, + "loss": 0.8488, + "step": 42030 + }, + { + "epoch": 0.99, + "grad_norm": 1.6574207149959963, + "learning_rate": 5.013323433807893e-09, + "loss": 0.8622, + "step": 42031 + }, + { + "epoch": 0.99, + "grad_norm": 1.7012173891753748, + "learning_rate": 4.989193954908489e-09, + "loss": 0.7764, + "step": 42032 + }, + { + "epoch": 0.99, + "grad_norm": 2.492394742104991, + "learning_rate": 4.9651226701263874e-09, + "loss": 0.9072, + "step": 42033 + }, + { + "epoch": 0.99, + "grad_norm": 1.6604185550871489, + "learning_rate": 4.9411095796014775e-09, + "loss": 0.7709, + "step": 42034 + }, + { + "epoch": 0.99, + "grad_norm": 2.0112511067993952, + "learning_rate": 4.917154683473646e-09, + "loss": 0.8986, + "step": 42035 + }, + { + "epoch": 0.99, + "grad_norm": 1.734765086688506, + "learning_rate": 4.8932579818827816e-09, + "loss": 0.8164, + "step": 42036 + }, + { + "epoch": 0.99, + "grad_norm": 1.4146781479876835, + "learning_rate": 4.869419474967663e-09, + "loss": 0.8488, + "step": 42037 + }, + { + "epoch": 0.99, + "grad_norm": 1.4107350438895805, + "learning_rate": 4.845639162868177e-09, + "loss": 0.7561, + "step": 42038 + }, + { + "epoch": 0.99, + "grad_norm": 1.5407813969043773, + "learning_rate": 4.821917045720881e-09, + "loss": 0.8033, + "step": 42039 + }, + { + "epoch": 0.99, + "grad_norm": 1.836594986334505, + "learning_rate": 4.7982531236645535e-09, + "loss": 0.883, + "step": 42040 + }, + { + "epoch": 0.99, + "grad_norm": 1.490446151738191, + "learning_rate": 4.774647396837973e-09, + "loss": 0.6762, + "step": 42041 + }, + { + "epoch": 0.99, + "grad_norm": 1.5223946831635171, + "learning_rate": 4.751099865376585e-09, + "loss": 0.8638, + "step": 42042 + }, + { + "epoch": 0.99, + "grad_norm": 1.6582059643971607, + "learning_rate": 4.727610529419169e-09, + "loss": 0.7387, + "step": 42043 + }, + { + "epoch": 0.99, + "grad_norm": 1.6188291301567288, + "learning_rate": 4.704179389103391e-09, + "loss": 0.9632, + "step": 42044 + }, + { + "epoch": 0.99, + "grad_norm": 1.6519178207796725, + "learning_rate": 4.6808064445635905e-09, + "loss": 0.8252, + "step": 42045 + }, + { + "epoch": 0.99, + "grad_norm": 1.5685927902775283, + "learning_rate": 4.6574916959363226e-09, + "loss": 0.8694, + "step": 42046 + }, + { + "epoch": 0.99, + "grad_norm": 1.860574218549373, + "learning_rate": 4.634235143357036e-09, + "loss": 0.7808, + "step": 42047 + }, + { + "epoch": 0.99, + "grad_norm": 1.4648592592054135, + "learning_rate": 4.611036786962286e-09, + "loss": 0.7645, + "step": 42048 + }, + { + "epoch": 0.99, + "grad_norm": 2.1396406404446973, + "learning_rate": 4.587896626886412e-09, + "loss": 0.9102, + "step": 42049 + }, + { + "epoch": 0.99, + "grad_norm": 1.6898657395335692, + "learning_rate": 4.5648146632648605e-09, + "loss": 0.6843, + "step": 42050 + }, + { + "epoch": 0.99, + "grad_norm": 1.9186603201503372, + "learning_rate": 4.541790896230858e-09, + "loss": 0.8907, + "step": 42051 + }, + { + "epoch": 0.99, + "grad_norm": 1.8115638369974165, + "learning_rate": 4.518825325919851e-09, + "loss": 0.8985, + "step": 42052 + }, + { + "epoch": 0.99, + "grad_norm": 1.6726601303601845, + "learning_rate": 4.495917952463957e-09, + "loss": 0.7959, + "step": 42053 + }, + { + "epoch": 0.99, + "grad_norm": 1.7267300860021146, + "learning_rate": 4.473068775997513e-09, + "loss": 0.7816, + "step": 42054 + }, + { + "epoch": 0.99, + "grad_norm": 1.5750722919682387, + "learning_rate": 4.450277796653746e-09, + "loss": 0.8147, + "step": 42055 + }, + { + "epoch": 0.99, + "grad_norm": 1.5946372219424638, + "learning_rate": 4.427545014564771e-09, + "loss": 0.8895, + "step": 42056 + }, + { + "epoch": 0.99, + "grad_norm": 1.5130485629711143, + "learning_rate": 4.404870429862706e-09, + "loss": 0.8083, + "step": 42057 + }, + { + "epoch": 0.99, + "grad_norm": 0.7053948873194787, + "learning_rate": 4.382254042680778e-09, + "loss": 0.718, + "step": 42058 + }, + { + "epoch": 0.99, + "grad_norm": 1.5045918871785915, + "learning_rate": 4.359695853149992e-09, + "loss": 0.7785, + "step": 42059 + }, + { + "epoch": 0.99, + "grad_norm": 0.8110061428741544, + "learning_rate": 4.337195861400245e-09, + "loss": 0.7316, + "step": 42060 + }, + { + "epoch": 0.99, + "grad_norm": 1.6243104617076798, + "learning_rate": 4.314754067565874e-09, + "loss": 0.8336, + "step": 42061 + }, + { + "epoch": 0.99, + "grad_norm": 1.5893870664237537, + "learning_rate": 4.292370471774554e-09, + "loss": 0.9552, + "step": 42062 + }, + { + "epoch": 0.99, + "grad_norm": 1.939462732398592, + "learning_rate": 4.270045074157292e-09, + "loss": 0.8126, + "step": 42063 + }, + { + "epoch": 0.99, + "grad_norm": 1.6179622474367747, + "learning_rate": 4.247777874845094e-09, + "loss": 0.7666, + "step": 42064 + }, + { + "epoch": 0.99, + "grad_norm": 1.7164274535221344, + "learning_rate": 4.225568873966746e-09, + "loss": 0.8096, + "step": 42065 + }, + { + "epoch": 0.99, + "grad_norm": 1.5840615804994322, + "learning_rate": 4.203418071652143e-09, + "loss": 0.9026, + "step": 42066 + }, + { + "epoch": 0.99, + "grad_norm": 1.5917213574513505, + "learning_rate": 4.181325468028963e-09, + "loss": 0.8132, + "step": 42067 + }, + { + "epoch": 0.99, + "grad_norm": 1.7102750912942513, + "learning_rate": 4.1592910632271e-09, + "loss": 0.7834, + "step": 42068 + }, + { + "epoch": 0.99, + "grad_norm": 1.5090199973356018, + "learning_rate": 4.13731485737423e-09, + "loss": 0.9013, + "step": 42069 + }, + { + "epoch": 0.99, + "grad_norm": 1.5655927347096446, + "learning_rate": 4.11539685059914e-09, + "loss": 0.7007, + "step": 42070 + }, + { + "epoch": 0.99, + "grad_norm": 1.7168617456999442, + "learning_rate": 4.093537043028395e-09, + "loss": 0.6611, + "step": 42071 + }, + { + "epoch": 0.99, + "grad_norm": 0.7696031302794394, + "learning_rate": 4.07173543478967e-09, + "loss": 0.739, + "step": 42072 + }, + { + "epoch": 0.99, + "grad_norm": 1.649854025037273, + "learning_rate": 4.04999202601064e-09, + "loss": 0.7276, + "step": 42073 + }, + { + "epoch": 0.99, + "grad_norm": 1.8493766840180599, + "learning_rate": 4.028306816816763e-09, + "loss": 0.8045, + "step": 42074 + }, + { + "epoch": 0.99, + "grad_norm": 1.5838138631898973, + "learning_rate": 4.006679807334601e-09, + "loss": 0.7464, + "step": 42075 + }, + { + "epoch": 0.99, + "grad_norm": 1.6824954649295156, + "learning_rate": 3.985110997690722e-09, + "loss": 0.8517, + "step": 42076 + }, + { + "epoch": 0.99, + "grad_norm": 1.629527128220467, + "learning_rate": 3.963600388009469e-09, + "loss": 0.7851, + "step": 42077 + }, + { + "epoch": 0.99, + "grad_norm": 1.6636963557476276, + "learning_rate": 3.94214797841741e-09, + "loss": 0.8401, + "step": 42078 + }, + { + "epoch": 0.99, + "grad_norm": 1.5988226621922081, + "learning_rate": 3.920753769038888e-09, + "loss": 0.855, + "step": 42079 + }, + { + "epoch": 0.99, + "grad_norm": 1.7094595351590027, + "learning_rate": 3.899417759998248e-09, + "loss": 0.8503, + "step": 42080 + }, + { + "epoch": 0.99, + "grad_norm": 1.6455601177335613, + "learning_rate": 3.878139951419835e-09, + "loss": 0.708, + "step": 42081 + }, + { + "epoch": 0.99, + "grad_norm": 1.6456125853749777, + "learning_rate": 3.856920343427994e-09, + "loss": 0.8274, + "step": 42082 + }, + { + "epoch": 0.99, + "grad_norm": 1.5610921799248412, + "learning_rate": 3.835758936145961e-09, + "loss": 0.8567, + "step": 42083 + }, + { + "epoch": 0.99, + "grad_norm": 2.279416668083877, + "learning_rate": 3.81465572969586e-09, + "loss": 0.8126, + "step": 42084 + }, + { + "epoch": 0.99, + "grad_norm": 2.496761557016281, + "learning_rate": 3.793610724202035e-09, + "loss": 0.8963, + "step": 42085 + }, + { + "epoch": 0.99, + "grad_norm": 1.7139423250813832, + "learning_rate": 3.772623919786611e-09, + "loss": 0.7131, + "step": 42086 + }, + { + "epoch": 0.99, + "grad_norm": 1.5348082579794529, + "learning_rate": 3.751695316572823e-09, + "loss": 0.8163, + "step": 42087 + }, + { + "epoch": 0.99, + "grad_norm": 1.7206914423653952, + "learning_rate": 3.730824914679465e-09, + "loss": 0.8193, + "step": 42088 + }, + { + "epoch": 0.99, + "grad_norm": 1.7890083445702105, + "learning_rate": 3.7100127142308816e-09, + "loss": 0.6845, + "step": 42089 + }, + { + "epoch": 0.99, + "grad_norm": 1.632871977828484, + "learning_rate": 3.6892587153480874e-09, + "loss": 0.8003, + "step": 42090 + }, + { + "epoch": 0.99, + "grad_norm": 1.573910722161535, + "learning_rate": 3.6685629181509864e-09, + "loss": 0.8504, + "step": 42091 + }, + { + "epoch": 0.99, + "grad_norm": 1.6597648241905727, + "learning_rate": 3.6479253227594825e-09, + "loss": 0.6972, + "step": 42092 + }, + { + "epoch": 0.99, + "grad_norm": 1.8632808429514642, + "learning_rate": 3.62734592929459e-09, + "loss": 0.7189, + "step": 42093 + }, + { + "epoch": 0.99, + "grad_norm": 1.5340071473539283, + "learning_rate": 3.6068247378773236e-09, + "loss": 0.8076, + "step": 42094 + }, + { + "epoch": 0.99, + "grad_norm": 1.6725556762039764, + "learning_rate": 3.5863617486242565e-09, + "loss": 0.7629, + "step": 42095 + }, + { + "epoch": 0.99, + "grad_norm": 1.5513561390902737, + "learning_rate": 3.565956961657513e-09, + "loss": 0.7395, + "step": 42096 + }, + { + "epoch": 0.99, + "grad_norm": 0.7879562561870199, + "learning_rate": 3.5456103770936668e-09, + "loss": 0.6874, + "step": 42097 + }, + { + "epoch": 0.99, + "grad_norm": 1.886645090055294, + "learning_rate": 3.525321995052622e-09, + "loss": 0.7246, + "step": 42098 + }, + { + "epoch": 0.99, + "grad_norm": 1.716124197545648, + "learning_rate": 3.5050918156520618e-09, + "loss": 0.906, + "step": 42099 + }, + { + "epoch": 0.99, + "grad_norm": 1.619730369188966, + "learning_rate": 3.4849198390096705e-09, + "loss": 0.9721, + "step": 42100 + }, + { + "epoch": 0.99, + "grad_norm": 2.0151043846966914, + "learning_rate": 3.4648060652431314e-09, + "loss": 0.8242, + "step": 42101 + }, + { + "epoch": 0.99, + "grad_norm": 1.7681106459395923, + "learning_rate": 3.444750494469018e-09, + "loss": 0.7814, + "step": 42102 + }, + { + "epoch": 0.99, + "grad_norm": 1.5606227225849767, + "learning_rate": 3.4247531268039034e-09, + "loss": 0.862, + "step": 42103 + }, + { + "epoch": 0.99, + "grad_norm": 1.598888194745378, + "learning_rate": 3.404813962365472e-09, + "loss": 0.835, + "step": 42104 + }, + { + "epoch": 0.99, + "grad_norm": 1.5410013153616873, + "learning_rate": 3.384933001269186e-09, + "loss": 0.8494, + "step": 42105 + }, + { + "epoch": 0.99, + "grad_norm": 1.648972875977617, + "learning_rate": 3.3651102436293993e-09, + "loss": 0.7645, + "step": 42106 + }, + { + "epoch": 0.99, + "grad_norm": 1.496496869405415, + "learning_rate": 3.345345689563795e-09, + "loss": 0.8668, + "step": 42107 + }, + { + "epoch": 0.99, + "grad_norm": 1.5377025391877217, + "learning_rate": 3.325639339186726e-09, + "loss": 0.7904, + "step": 42108 + }, + { + "epoch": 0.99, + "grad_norm": 0.7590166129522792, + "learning_rate": 3.3059911926125455e-09, + "loss": 0.6746, + "step": 42109 + }, + { + "epoch": 0.99, + "grad_norm": 1.638636988204103, + "learning_rate": 3.2864012499556066e-09, + "loss": 0.9098, + "step": 42110 + }, + { + "epoch": 0.99, + "grad_norm": 1.85440765570375, + "learning_rate": 3.266869511330262e-09, + "loss": 0.9248, + "step": 42111 + }, + { + "epoch": 0.99, + "grad_norm": 1.7280356778032524, + "learning_rate": 3.2473959768497542e-09, + "loss": 0.846, + "step": 42112 + }, + { + "epoch": 0.99, + "grad_norm": 0.7867079587832477, + "learning_rate": 3.227980646628437e-09, + "loss": 0.7227, + "step": 42113 + }, + { + "epoch": 0.99, + "grad_norm": 1.5488762805388343, + "learning_rate": 3.2086235207784423e-09, + "loss": 0.8064, + "step": 42114 + }, + { + "epoch": 0.99, + "grad_norm": 1.8208351407897256, + "learning_rate": 3.189324599413013e-09, + "loss": 0.8355, + "step": 42115 + }, + { + "epoch": 0.99, + "grad_norm": 1.4767771999923338, + "learning_rate": 3.170083882643171e-09, + "loss": 0.7314, + "step": 42116 + }, + { + "epoch": 0.99, + "grad_norm": 1.6294776443868724, + "learning_rate": 3.1509013705832703e-09, + "loss": 0.8717, + "step": 42117 + }, + { + "epoch": 0.99, + "grad_norm": 1.4475305679288326, + "learning_rate": 3.131777063343222e-09, + "loss": 0.8556, + "step": 42118 + }, + { + "epoch": 0.99, + "grad_norm": 1.7309691619212593, + "learning_rate": 3.1127109610351593e-09, + "loss": 0.6849, + "step": 42119 + }, + { + "epoch": 0.99, + "grad_norm": 0.7891592796887521, + "learning_rate": 3.0937030637701037e-09, + "loss": 0.6889, + "step": 42120 + }, + { + "epoch": 0.99, + "grad_norm": 1.6321058779676643, + "learning_rate": 3.074753371657968e-09, + "loss": 0.8884, + "step": 42121 + }, + { + "epoch": 0.99, + "grad_norm": 1.416749884254004, + "learning_rate": 3.0558618848097744e-09, + "loss": 0.7119, + "step": 42122 + }, + { + "epoch": 0.99, + "grad_norm": 0.777745466139594, + "learning_rate": 3.0370286033354348e-09, + "loss": 0.7092, + "step": 42123 + }, + { + "epoch": 0.99, + "grad_norm": 1.5561903327844975, + "learning_rate": 3.018253527343751e-09, + "loss": 0.7556, + "step": 42124 + }, + { + "epoch": 0.99, + "grad_norm": 1.765372504121034, + "learning_rate": 2.999536656945745e-09, + "loss": 0.8775, + "step": 42125 + }, + { + "epoch": 0.99, + "grad_norm": 1.9017997404063829, + "learning_rate": 2.980877992249109e-09, + "loss": 0.8871, + "step": 42126 + }, + { + "epoch": 0.99, + "grad_norm": 1.406898496094147, + "learning_rate": 2.9622775333626453e-09, + "loss": 0.8889, + "step": 42127 + }, + { + "epoch": 0.99, + "grad_norm": 1.7169002223256826, + "learning_rate": 2.9437352803951546e-09, + "loss": 0.7223, + "step": 42128 + }, + { + "epoch": 0.99, + "grad_norm": 1.6027375522716145, + "learning_rate": 2.9252512334543293e-09, + "loss": 0.7242, + "step": 42129 + }, + { + "epoch": 0.99, + "grad_norm": 1.5007992894467623, + "learning_rate": 2.9068253926478605e-09, + "loss": 0.9813, + "step": 42130 + }, + { + "epoch": 0.99, + "grad_norm": 1.612779544114847, + "learning_rate": 2.8884577580823304e-09, + "loss": 0.8319, + "step": 42131 + }, + { + "epoch": 0.99, + "grad_norm": 1.6613997772640432, + "learning_rate": 2.87014832986543e-09, + "loss": 0.8391, + "step": 42132 + }, + { + "epoch": 0.99, + "grad_norm": 1.8595565502968958, + "learning_rate": 2.8518971081037403e-09, + "loss": 0.8165, + "step": 42133 + }, + { + "epoch": 0.99, + "grad_norm": 1.9474869490096633, + "learning_rate": 2.8337040929027336e-09, + "loss": 0.8813, + "step": 42134 + }, + { + "epoch": 0.99, + "grad_norm": 1.4186606926970071, + "learning_rate": 2.8155692843689907e-09, + "loss": 0.7658, + "step": 42135 + }, + { + "epoch": 0.99, + "grad_norm": 1.7767970545008607, + "learning_rate": 2.797492682609093e-09, + "loss": 1.0313, + "step": 42136 + }, + { + "epoch": 0.99, + "grad_norm": 1.9050809083136673, + "learning_rate": 2.7794742877262914e-09, + "loss": 0.881, + "step": 42137 + }, + { + "epoch": 0.99, + "grad_norm": 1.74724581830692, + "learning_rate": 2.761514099826057e-09, + "loss": 0.7817, + "step": 42138 + }, + { + "epoch": 0.99, + "grad_norm": 2.2794938643076073, + "learning_rate": 2.743612119014971e-09, + "loss": 0.8526, + "step": 42139 + }, + { + "epoch": 0.99, + "grad_norm": 2.351408526310065, + "learning_rate": 2.725768345394064e-09, + "loss": 0.8021, + "step": 42140 + }, + { + "epoch": 0.99, + "grad_norm": 1.7442771404585786, + "learning_rate": 2.7079827790699177e-09, + "loss": 0.932, + "step": 42141 + }, + { + "epoch": 0.99, + "grad_norm": 1.5981714327140704, + "learning_rate": 2.690255420144672e-09, + "loss": 0.8744, + "step": 42142 + }, + { + "epoch": 0.99, + "grad_norm": 1.8554735796953388, + "learning_rate": 2.6725862687215774e-09, + "loss": 0.8384, + "step": 42143 + }, + { + "epoch": 0.99, + "grad_norm": 1.7940699748360345, + "learning_rate": 2.6549753249038858e-09, + "loss": 0.919, + "step": 42144 + }, + { + "epoch": 0.99, + "grad_norm": 1.6694068955195627, + "learning_rate": 2.6374225887937365e-09, + "loss": 0.8758, + "step": 42145 + }, + { + "epoch": 0.99, + "grad_norm": 1.5523892031362272, + "learning_rate": 2.619928060494381e-09, + "loss": 0.7663, + "step": 42146 + }, + { + "epoch": 0.99, + "grad_norm": 1.4984805264805499, + "learning_rate": 2.6024917401068495e-09, + "loss": 0.7905, + "step": 42147 + }, + { + "epoch": 0.99, + "grad_norm": 1.5914017674025287, + "learning_rate": 2.585113627732172e-09, + "loss": 0.8077, + "step": 42148 + }, + { + "epoch": 0.99, + "grad_norm": 1.7947136026987764, + "learning_rate": 2.567793723471379e-09, + "loss": 0.7987, + "step": 42149 + }, + { + "epoch": 0.99, + "grad_norm": 0.7882944635729524, + "learning_rate": 2.550532027427721e-09, + "loss": 0.7306, + "step": 42150 + }, + { + "epoch": 0.99, + "grad_norm": 2.4807020954324805, + "learning_rate": 2.533328539698898e-09, + "loss": 0.8604, + "step": 42151 + }, + { + "epoch": 0.99, + "grad_norm": 2.4439546813880915, + "learning_rate": 2.5161832603870506e-09, + "loss": 0.7264, + "step": 42152 + }, + { + "epoch": 0.99, + "grad_norm": 0.8123681933380591, + "learning_rate": 2.499096189589878e-09, + "loss": 0.7087, + "step": 42153 + }, + { + "epoch": 0.99, + "grad_norm": 1.646078458518604, + "learning_rate": 2.4820673274095207e-09, + "loss": 0.7621, + "step": 42154 + }, + { + "epoch": 0.99, + "grad_norm": 1.5728331077996829, + "learning_rate": 2.4650966739425686e-09, + "loss": 0.7399, + "step": 42155 + }, + { + "epoch": 0.99, + "grad_norm": 1.6663202608396253, + "learning_rate": 2.4481842292900517e-09, + "loss": 0.7746, + "step": 42156 + }, + { + "epoch": 0.99, + "grad_norm": 1.7555283748559, + "learning_rate": 2.431329993548559e-09, + "loss": 0.7323, + "step": 42157 + }, + { + "epoch": 0.99, + "grad_norm": 1.4958176515271293, + "learning_rate": 2.414533966816901e-09, + "loss": 0.8003, + "step": 42158 + }, + { + "epoch": 0.99, + "grad_norm": 3.274521636984133, + "learning_rate": 2.3977961491938874e-09, + "loss": 0.742, + "step": 42159 + }, + { + "epoch": 0.99, + "grad_norm": 1.7125181244841998, + "learning_rate": 2.381116540774997e-09, + "loss": 0.8051, + "step": 42160 + }, + { + "epoch": 0.99, + "grad_norm": 1.5786489768569147, + "learning_rate": 2.36449514165904e-09, + "loss": 0.8589, + "step": 42161 + }, + { + "epoch": 0.99, + "grad_norm": 0.7644619998364341, + "learning_rate": 2.347931951942606e-09, + "loss": 0.7062, + "step": 42162 + }, + { + "epoch": 0.99, + "grad_norm": 1.536095314714831, + "learning_rate": 2.3314269717211735e-09, + "loss": 0.7282, + "step": 42163 + }, + { + "epoch": 0.99, + "grad_norm": 1.6880516832975563, + "learning_rate": 2.3149802010913323e-09, + "loss": 0.8925, + "step": 42164 + }, + { + "epoch": 0.99, + "grad_norm": 1.741761141728455, + "learning_rate": 2.298591640149672e-09, + "loss": 0.932, + "step": 42165 + }, + { + "epoch": 0.99, + "grad_norm": 1.9544051355502077, + "learning_rate": 2.2822612889894513e-09, + "loss": 0.8079, + "step": 42166 + }, + { + "epoch": 0.99, + "grad_norm": 1.5960722788497315, + "learning_rate": 2.2659891477083694e-09, + "loss": 0.7724, + "step": 42167 + }, + { + "epoch": 0.99, + "grad_norm": 1.451434604034068, + "learning_rate": 2.2497752163996855e-09, + "loss": 0.8096, + "step": 42168 + }, + { + "epoch": 0.99, + "grad_norm": 1.9069247583664048, + "learning_rate": 2.2336194951577685e-09, + "loss": 0.898, + "step": 42169 + }, + { + "epoch": 0.99, + "grad_norm": 1.5762068586975495, + "learning_rate": 2.217521984076987e-09, + "loss": 0.7634, + "step": 42170 + }, + { + "epoch": 0.99, + "grad_norm": 1.9540440330432223, + "learning_rate": 2.2014826832506e-09, + "loss": 0.8717, + "step": 42171 + }, + { + "epoch": 0.99, + "grad_norm": 1.5239298699207087, + "learning_rate": 2.185501592772976e-09, + "loss": 0.8049, + "step": 42172 + }, + { + "epoch": 0.99, + "grad_norm": 1.5970437557304056, + "learning_rate": 2.1695787127362644e-09, + "loss": 0.9367, + "step": 42173 + }, + { + "epoch": 0.99, + "grad_norm": 1.4294868943721604, + "learning_rate": 2.1537140432348335e-09, + "loss": 0.8172, + "step": 42174 + }, + { + "epoch": 0.99, + "grad_norm": 1.8360997977325373, + "learning_rate": 2.1379075843586116e-09, + "loss": 0.8032, + "step": 42175 + }, + { + "epoch": 0.99, + "grad_norm": 0.7422123141163925, + "learning_rate": 2.1221593362008575e-09, + "loss": 0.7254, + "step": 42176 + }, + { + "epoch": 0.99, + "grad_norm": 1.5409287393377749, + "learning_rate": 2.1064692988526093e-09, + "loss": 0.8514, + "step": 42177 + }, + { + "epoch": 0.99, + "grad_norm": 1.822216478774411, + "learning_rate": 2.0908374724060156e-09, + "loss": 0.8077, + "step": 42178 + }, + { + "epoch": 0.99, + "grad_norm": 1.8850526638680796, + "learning_rate": 2.0752638569521144e-09, + "loss": 0.8753, + "step": 42179 + }, + { + "epoch": 0.99, + "grad_norm": 1.7460197853364143, + "learning_rate": 2.0597484525819446e-09, + "loss": 0.8134, + "step": 42180 + }, + { + "epoch": 0.99, + "grad_norm": 1.5667553944581412, + "learning_rate": 2.0442912593843233e-09, + "loss": 0.7924, + "step": 42181 + }, + { + "epoch": 0.99, + "grad_norm": 2.1978676539043427, + "learning_rate": 2.0288922774502896e-09, + "loss": 0.7424, + "step": 42182 + }, + { + "epoch": 0.99, + "grad_norm": 1.6939014543349793, + "learning_rate": 2.013551506869771e-09, + "loss": 0.916, + "step": 42183 + }, + { + "epoch": 0.99, + "grad_norm": 1.6843601672946487, + "learning_rate": 1.9982689477315854e-09, + "loss": 0.8215, + "step": 42184 + }, + { + "epoch": 0.99, + "grad_norm": 0.7931350488999336, + "learning_rate": 1.9830446001245507e-09, + "loss": 0.6864, + "step": 42185 + }, + { + "epoch": 0.99, + "grad_norm": 1.650443145608246, + "learning_rate": 1.967878464137485e-09, + "loss": 0.747, + "step": 42186 + }, + { + "epoch": 0.99, + "grad_norm": 2.559196613479584, + "learning_rate": 1.9527705398592056e-09, + "loss": 0.8229, + "step": 42187 + }, + { + "epoch": 0.99, + "grad_norm": 2.8709111209527314, + "learning_rate": 1.9377208273763105e-09, + "loss": 0.8155, + "step": 42188 + }, + { + "epoch": 0.99, + "grad_norm": 1.7298597818401, + "learning_rate": 1.9227293267787272e-09, + "loss": 0.9268, + "step": 42189 + }, + { + "epoch": 0.99, + "grad_norm": 1.6001572021283632, + "learning_rate": 1.9077960381508333e-09, + "loss": 0.7337, + "step": 42190 + }, + { + "epoch": 0.99, + "grad_norm": 1.5986965800238577, + "learning_rate": 1.892920961582556e-09, + "loss": 0.8051, + "step": 42191 + }, + { + "epoch": 0.99, + "grad_norm": 1.6372080204414885, + "learning_rate": 1.878104097158273e-09, + "loss": 0.8761, + "step": 42192 + }, + { + "epoch": 0.99, + "grad_norm": 1.5787755525008982, + "learning_rate": 1.8633454449645814e-09, + "loss": 0.7712, + "step": 42193 + }, + { + "epoch": 0.99, + "grad_norm": 1.9517932818228103, + "learning_rate": 1.8486450050880788e-09, + "loss": 0.7647, + "step": 42194 + }, + { + "epoch": 0.99, + "grad_norm": 0.784516249783182, + "learning_rate": 1.8340027776142521e-09, + "loss": 0.6917, + "step": 42195 + }, + { + "epoch": 0.99, + "grad_norm": 1.4938976545698655, + "learning_rate": 1.8194187626285887e-09, + "loss": 0.8944, + "step": 42196 + }, + { + "epoch": 0.99, + "grad_norm": 1.6856409757789463, + "learning_rate": 1.8048929602154652e-09, + "loss": 0.823, + "step": 42197 + }, + { + "epoch": 0.99, + "grad_norm": 1.60931297550626, + "learning_rate": 1.790425370459259e-09, + "loss": 0.8991, + "step": 42198 + }, + { + "epoch": 0.99, + "grad_norm": 1.573121428609393, + "learning_rate": 1.7760159934454568e-09, + "loss": 0.8473, + "step": 42199 + }, + { + "epoch": 0.99, + "grad_norm": 1.7440282285775388, + "learning_rate": 1.7616648292562154e-09, + "loss": 0.8926, + "step": 42200 + }, + { + "epoch": 0.99, + "grad_norm": 1.6834977174711583, + "learning_rate": 1.7473718779759118e-09, + "loss": 0.9415, + "step": 42201 + }, + { + "epoch": 0.99, + "grad_norm": 1.5069536718520138, + "learning_rate": 1.733137139688923e-09, + "loss": 0.8116, + "step": 42202 + }, + { + "epoch": 0.99, + "grad_norm": 1.5859176017233483, + "learning_rate": 1.718960614476295e-09, + "loss": 0.8734, + "step": 42203 + }, + { + "epoch": 0.99, + "grad_norm": 1.5432410942177515, + "learning_rate": 1.7048423024201843e-09, + "loss": 0.7438, + "step": 42204 + }, + { + "epoch": 0.99, + "grad_norm": 2.3363354067030424, + "learning_rate": 1.6907822036049682e-09, + "loss": 0.7291, + "step": 42205 + }, + { + "epoch": 0.99, + "grad_norm": 0.7384978177897719, + "learning_rate": 1.6767803181116927e-09, + "loss": 0.6953, + "step": 42206 + }, + { + "epoch": 0.99, + "grad_norm": 1.3950069663381863, + "learning_rate": 1.6628366460214041e-09, + "loss": 0.8534, + "step": 42207 + }, + { + "epoch": 0.99, + "grad_norm": 1.615596750951639, + "learning_rate": 1.6489511874151488e-09, + "loss": 0.6716, + "step": 42208 + }, + { + "epoch": 0.99, + "grad_norm": 1.556367611635961, + "learning_rate": 1.6351239423739728e-09, + "loss": 0.744, + "step": 42209 + }, + { + "epoch": 0.99, + "grad_norm": 1.6459861180664621, + "learning_rate": 1.621354910978923e-09, + "loss": 0.8306, + "step": 42210 + }, + { + "epoch": 0.99, + "grad_norm": 1.448195277382428, + "learning_rate": 1.6076440933099347e-09, + "loss": 0.7786, + "step": 42211 + }, + { + "epoch": 0.99, + "grad_norm": 1.6520300869112916, + "learning_rate": 1.5939914894469444e-09, + "loss": 0.8989, + "step": 42212 + }, + { + "epoch": 0.99, + "grad_norm": 1.456983615522293, + "learning_rate": 1.580397099468778e-09, + "loss": 0.876, + "step": 42213 + }, + { + "epoch": 0.99, + "grad_norm": 1.6897302656412625, + "learning_rate": 1.5668609234542608e-09, + "loss": 0.8896, + "step": 42214 + }, + { + "epoch": 0.99, + "grad_norm": 1.6028080666669793, + "learning_rate": 1.5533829614844397e-09, + "loss": 0.8234, + "step": 42215 + }, + { + "epoch": 0.99, + "grad_norm": 1.53510669948375, + "learning_rate": 1.5399632136348096e-09, + "loss": 0.8559, + "step": 42216 + }, + { + "epoch": 0.99, + "grad_norm": 0.7277982492932654, + "learning_rate": 1.526601679986417e-09, + "loss": 0.692, + "step": 42217 + }, + { + "epoch": 0.99, + "grad_norm": 1.5190545397473818, + "learning_rate": 1.5132983606147566e-09, + "loss": 0.793, + "step": 42218 + }, + { + "epoch": 0.99, + "grad_norm": 1.5206031621269702, + "learning_rate": 1.5000532555975444e-09, + "loss": 0.7581, + "step": 42219 + }, + { + "epoch": 0.99, + "grad_norm": 1.5663469522149425, + "learning_rate": 1.4868663650136062e-09, + "loss": 0.7551, + "step": 42220 + }, + { + "epoch": 0.99, + "grad_norm": 1.5806638166641476, + "learning_rate": 1.473737688938437e-09, + "loss": 0.8491, + "step": 42221 + }, + { + "epoch": 0.99, + "grad_norm": 1.545353836367418, + "learning_rate": 1.460667227447532e-09, + "loss": 0.8075, + "step": 42222 + }, + { + "epoch": 0.99, + "grad_norm": 1.6499616376109656, + "learning_rate": 1.447654980619717e-09, + "loss": 0.826, + "step": 42223 + }, + { + "epoch": 0.99, + "grad_norm": 0.7504109485767728, + "learning_rate": 1.434700948528267e-09, + "loss": 0.6704, + "step": 42224 + }, + { + "epoch": 0.99, + "grad_norm": 1.7989413337135927, + "learning_rate": 1.421805131248677e-09, + "loss": 0.8082, + "step": 42225 + }, + { + "epoch": 0.99, + "grad_norm": 1.5662181118015797, + "learning_rate": 1.4089675288586623e-09, + "loss": 0.8097, + "step": 42226 + }, + { + "epoch": 0.99, + "grad_norm": 2.0637243217647288, + "learning_rate": 1.3961881414292776e-09, + "loss": 0.8247, + "step": 42227 + }, + { + "epoch": 0.99, + "grad_norm": 1.429910254436577, + "learning_rate": 1.3834669690382385e-09, + "loss": 0.9412, + "step": 42228 + }, + { + "epoch": 0.99, + "grad_norm": 1.4858047580204126, + "learning_rate": 1.3708040117577093e-09, + "loss": 0.9545, + "step": 42229 + }, + { + "epoch": 0.99, + "grad_norm": 1.6708121284942288, + "learning_rate": 1.358199269662075e-09, + "loss": 0.9373, + "step": 42230 + }, + { + "epoch": 0.99, + "grad_norm": 1.700441639026598, + "learning_rate": 1.3456527428235e-09, + "loss": 0.8744, + "step": 42231 + }, + { + "epoch": 0.99, + "grad_norm": 1.6396660489094452, + "learning_rate": 1.3331644313174796e-09, + "loss": 0.7985, + "step": 42232 + }, + { + "epoch": 0.99, + "grad_norm": 1.6038583153067674, + "learning_rate": 1.320734335213958e-09, + "loss": 0.9175, + "step": 42233 + }, + { + "epoch": 0.99, + "grad_norm": 1.7818891479886845, + "learning_rate": 1.3083624545873197e-09, + "loss": 0.9181, + "step": 42234 + }, + { + "epoch": 1.0, + "grad_norm": 1.5306121622686264, + "learning_rate": 1.2960487895097295e-09, + "loss": 0.9433, + "step": 42235 + }, + { + "epoch": 1.0, + "grad_norm": 1.7612041536232688, + "learning_rate": 1.2837933400511315e-09, + "loss": 0.7922, + "step": 42236 + }, + { + "epoch": 1.0, + "grad_norm": 0.8030333895482087, + "learning_rate": 1.2715961062836902e-09, + "loss": 0.7029, + "step": 42237 + }, + { + "epoch": 1.0, + "grad_norm": 1.6127173509332973, + "learning_rate": 1.2594570882784595e-09, + "loss": 0.847, + "step": 42238 + }, + { + "epoch": 1.0, + "grad_norm": 1.6884863380643635, + "learning_rate": 1.2473762861064943e-09, + "loss": 0.7256, + "step": 42239 + }, + { + "epoch": 1.0, + "grad_norm": 0.8991133747256839, + "learning_rate": 1.2353536998388483e-09, + "loss": 0.6644, + "step": 42240 + }, + { + "epoch": 1.0, + "grad_norm": 1.6504648766094798, + "learning_rate": 1.2233893295432453e-09, + "loss": 0.8854, + "step": 42241 + }, + { + "epoch": 1.0, + "grad_norm": 1.616720699736026, + "learning_rate": 1.2114831752907397e-09, + "loss": 0.7648, + "step": 42242 + }, + { + "epoch": 1.0, + "grad_norm": 1.8463863935968141, + "learning_rate": 1.1996352371512755e-09, + "loss": 0.9085, + "step": 42243 + }, + { + "epoch": 1.0, + "grad_norm": 1.6466608750086302, + "learning_rate": 1.187845515192576e-09, + "loss": 0.7908, + "step": 42244 + }, + { + "epoch": 1.0, + "grad_norm": 1.8403234122938072, + "learning_rate": 1.1761140094834756e-09, + "loss": 0.8404, + "step": 42245 + }, + { + "epoch": 1.0, + "grad_norm": 2.556225310680534, + "learning_rate": 1.1644407200939177e-09, + "loss": 0.9016, + "step": 42246 + }, + { + "epoch": 1.0, + "grad_norm": 1.583635362433815, + "learning_rate": 1.152825647089406e-09, + "loss": 0.91, + "step": 42247 + }, + { + "epoch": 1.0, + "grad_norm": 1.6118094523718134, + "learning_rate": 1.1412687905387743e-09, + "loss": 0.7034, + "step": 42248 + }, + { + "epoch": 1.0, + "grad_norm": 1.528136374103904, + "learning_rate": 1.1297701505097459e-09, + "loss": 0.7141, + "step": 42249 + }, + { + "epoch": 1.0, + "grad_norm": 1.872731341195446, + "learning_rate": 1.1183297270678239e-09, + "loss": 1.0002, + "step": 42250 + }, + { + "epoch": 1.0, + "grad_norm": 1.5375682743810994, + "learning_rate": 1.1069475202818425e-09, + "loss": 1.0606, + "step": 42251 + }, + { + "epoch": 1.0, + "grad_norm": 1.687892947816652, + "learning_rate": 1.0956235302161944e-09, + "loss": 0.8855, + "step": 42252 + }, + { + "epoch": 1.0, + "grad_norm": 1.5825466991302086, + "learning_rate": 1.084357756937493e-09, + "loss": 0.9015, + "step": 42253 + }, + { + "epoch": 1.0, + "grad_norm": 1.5668107968014189, + "learning_rate": 1.0731502005112415e-09, + "loss": 0.8277, + "step": 42254 + }, + { + "epoch": 1.0, + "grad_norm": 1.7794203843938348, + "learning_rate": 1.062000861002943e-09, + "loss": 0.7416, + "step": 42255 + }, + { + "epoch": 1.0, + "grad_norm": 1.6195270888824105, + "learning_rate": 1.0509097384769906e-09, + "loss": 0.9355, + "step": 42256 + }, + { + "epoch": 1.0, + "grad_norm": 1.407520417049264, + "learning_rate": 1.039876832997777e-09, + "loss": 0.7087, + "step": 42257 + }, + { + "epoch": 1.0, + "grad_norm": 1.6309065956679019, + "learning_rate": 1.0289021446308057e-09, + "loss": 1.0044, + "step": 42258 + }, + { + "epoch": 1.0, + "grad_norm": 1.459135571482465, + "learning_rate": 1.017985673439359e-09, + "loss": 0.7196, + "step": 42259 + }, + { + "epoch": 1.0, + "grad_norm": 1.5447267997398826, + "learning_rate": 1.0071274194856096e-09, + "loss": 0.903, + "step": 42260 + }, + { + "epoch": 1.0, + "grad_norm": 1.6014100823077457, + "learning_rate": 9.963273828350606e-10, + "loss": 0.9738, + "step": 42261 + }, + { + "epoch": 1.0, + "grad_norm": 1.720764188672103, + "learning_rate": 9.855855635498845e-10, + "loss": 0.8211, + "step": 42262 + }, + { + "epoch": 1.0, + "grad_norm": 1.5304025078359567, + "learning_rate": 9.749019616911437e-10, + "loss": 0.8706, + "step": 42263 + }, + { + "epoch": 1.0, + "grad_norm": 1.4149741674113137, + "learning_rate": 9.642765773232309e-10, + "loss": 0.8117, + "step": 42264 + }, + { + "epoch": 1.0, + "grad_norm": 1.8685324573485391, + "learning_rate": 9.537094105060985e-10, + "loss": 0.8382, + "step": 42265 + }, + { + "epoch": 1.0, + "grad_norm": 1.658098783101975, + "learning_rate": 9.432004613019186e-10, + "loss": 0.8889, + "step": 42266 + }, + { + "epoch": 1.0, + "grad_norm": 1.4698905504818762, + "learning_rate": 9.327497297728638e-10, + "loss": 0.8617, + "step": 42267 + }, + { + "epoch": 1.0, + "grad_norm": 1.561435612133822, + "learning_rate": 9.223572159788863e-10, + "loss": 0.8795, + "step": 42268 + }, + { + "epoch": 1.0, + "grad_norm": 1.4942406191978042, + "learning_rate": 9.12022919979938e-10, + "loss": 0.9209, + "step": 42269 + }, + { + "epoch": 1.0, + "grad_norm": 0.7358931358281551, + "learning_rate": 9.017468418370812e-10, + "loss": 0.6953, + "step": 42270 + }, + { + "epoch": 1.0, + "grad_norm": 1.6394580296837746, + "learning_rate": 8.915289816102679e-10, + "loss": 0.7341, + "step": 42271 + }, + { + "epoch": 1.0, + "grad_norm": 1.641809558151472, + "learning_rate": 8.813693393583401e-10, + "loss": 0.7807, + "step": 42272 + }, + { + "epoch": 1.0, + "grad_norm": 0.7458863994980336, + "learning_rate": 8.712679151412495e-10, + "loss": 0.6914, + "step": 42273 + }, + { + "epoch": 1.0, + "grad_norm": 1.581457239489462, + "learning_rate": 8.612247090167281e-10, + "loss": 0.7888, + "step": 42274 + }, + { + "epoch": 1.0, + "grad_norm": 1.6622614920500856, + "learning_rate": 8.512397210447276e-10, + "loss": 0.889, + "step": 42275 + }, + { + "epoch": 1.0, + "grad_norm": 1.6166720942146156, + "learning_rate": 8.413129512818697e-10, + "loss": 0.7681, + "step": 42276 + }, + { + "epoch": 1.0, + "grad_norm": 1.589483607326514, + "learning_rate": 8.314443997858857e-10, + "loss": 0.8276, + "step": 42277 + }, + { + "epoch": 1.0, + "grad_norm": 0.7309164032048299, + "learning_rate": 8.216340666156175e-10, + "loss": 0.7062, + "step": 42278 + }, + { + "epoch": 1.0, + "grad_norm": 1.6242137097915939, + "learning_rate": 8.118819518276866e-10, + "loss": 0.808, + "step": 42279 + }, + { + "epoch": 1.0, + "grad_norm": 3.050286579262783, + "learning_rate": 8.021880554787143e-10, + "loss": 0.8284, + "step": 42280 + }, + { + "epoch": 1.0, + "grad_norm": 1.5874953932421332, + "learning_rate": 7.925523776242116e-10, + "loss": 0.9091, + "step": 42281 + }, + { + "epoch": 1.0, + "grad_norm": 1.617006544499708, + "learning_rate": 7.829749183219104e-10, + "loss": 0.8805, + "step": 42282 + }, + { + "epoch": 1.0, + "grad_norm": 1.6737721821327367, + "learning_rate": 7.734556776273217e-10, + "loss": 0.8895, + "step": 42283 + }, + { + "epoch": 1.0, + "grad_norm": 2.2077564683950848, + "learning_rate": 7.639946555937361e-10, + "loss": 0.8736, + "step": 42284 + }, + { + "epoch": 1.0, + "grad_norm": 1.7853933281167411, + "learning_rate": 7.545918522788853e-10, + "loss": 0.8181, + "step": 42285 + }, + { + "epoch": 1.0, + "grad_norm": 1.556752577268482, + "learning_rate": 7.452472677371702e-10, + "loss": 0.9818, + "step": 42286 + }, + { + "epoch": 1.0, + "grad_norm": 1.6634121787367653, + "learning_rate": 7.359609020218816e-10, + "loss": 0.8782, + "step": 42287 + }, + { + "epoch": 1.0, + "grad_norm": 1.8490903030908792, + "learning_rate": 7.267327551863101e-10, + "loss": 0.7448, + "step": 42288 + }, + { + "epoch": 1.0, + "grad_norm": 1.6602348723271865, + "learning_rate": 7.175628272870772e-10, + "loss": 0.8001, + "step": 42289 + }, + { + "epoch": 1.0, + "grad_norm": 1.576991422468891, + "learning_rate": 7.08451118375253e-10, + "loss": 0.7275, + "step": 42290 + }, + { + "epoch": 1.0, + "grad_norm": 1.7846716063582404, + "learning_rate": 6.993976285041282e-10, + "loss": 0.7641, + "step": 42291 + }, + { + "epoch": 1.0, + "grad_norm": 0.7453768372952588, + "learning_rate": 6.904023577269936e-10, + "loss": 0.78, + "step": 42292 + }, + { + "epoch": 1.0, + "grad_norm": 1.6320974001860407, + "learning_rate": 6.814653060971399e-10, + "loss": 0.8417, + "step": 42293 + }, + { + "epoch": 1.0, + "grad_norm": 2.3556884107485043, + "learning_rate": 6.725864736645271e-10, + "loss": 0.8855, + "step": 42294 + }, + { + "epoch": 1.0, + "grad_norm": 0.7324159694274599, + "learning_rate": 6.637658604813357e-10, + "loss": 0.6824, + "step": 42295 + }, + { + "epoch": 1.0, + "grad_norm": 1.599218536294622, + "learning_rate": 6.550034666008564e-10, + "loss": 0.8722, + "step": 42296 + }, + { + "epoch": 1.0, + "grad_norm": 1.6284112338758971, + "learning_rate": 6.462992920719391e-10, + "loss": 0.6646, + "step": 42297 + }, + { + "epoch": 1.0, + "grad_norm": 1.8588420743819274, + "learning_rate": 6.376533369456539e-10, + "loss": 0.8939, + "step": 42298 + }, + { + "epoch": 1.0, + "grad_norm": 1.7689036483060439, + "learning_rate": 6.290656012730711e-10, + "loss": 0.7667, + "step": 42299 + }, + { + "epoch": 1.0, + "grad_norm": 1.4517499061216115, + "learning_rate": 6.205360851041509e-10, + "loss": 0.8854, + "step": 42300 + }, + { + "epoch": 1.0, + "grad_norm": 1.6171154175535973, + "learning_rate": 6.120647884877429e-10, + "loss": 0.9578, + "step": 42301 + }, + { + "epoch": 1.0, + "grad_norm": 1.5736671013010863, + "learning_rate": 6.036517114738072e-10, + "loss": 0.8503, + "step": 42302 + }, + { + "epoch": 1.0, + "grad_norm": 0.7601360942452673, + "learning_rate": 5.952968541111937e-10, + "loss": 0.6602, + "step": 42303 + }, + { + "epoch": 1.0, + "grad_norm": 2.1093186263050536, + "learning_rate": 5.87000216448752e-10, + "loss": 0.9219, + "step": 42304 + }, + { + "epoch": 1.0, + "grad_norm": 4.307600342499896, + "learning_rate": 5.78761798534222e-10, + "loss": 0.8337, + "step": 42305 + }, + { + "epoch": 1.0, + "grad_norm": 1.5907129211369107, + "learning_rate": 5.70581600415343e-10, + "loss": 0.7965, + "step": 42306 + }, + { + "epoch": 1.0, + "grad_norm": 1.690893779418313, + "learning_rate": 5.62459622140965e-10, + "loss": 0.9454, + "step": 42307 + }, + { + "epoch": 1.0, + "grad_norm": 1.7859540227926063, + "learning_rate": 5.543958637577174e-10, + "loss": 0.7016, + "step": 42308 + }, + { + "epoch": 1.0, + "grad_norm": 1.7335161054156536, + "learning_rate": 5.463903253122294e-10, + "loss": 0.8584, + "step": 42309 + }, + { + "epoch": 1.0, + "grad_norm": 2.033168311924957, + "learning_rate": 5.384430068522406e-10, + "loss": 0.7658, + "step": 42310 + }, + { + "epoch": 1.0, + "grad_norm": 1.9727664325118242, + "learning_rate": 5.305539084221601e-10, + "loss": 0.8142, + "step": 42311 + }, + { + "epoch": 1.0, + "grad_norm": 1.5543304317599136, + "learning_rate": 5.227230300697273e-10, + "loss": 0.7846, + "step": 42312 + }, + { + "epoch": 1.0, + "grad_norm": 1.7676741904556148, + "learning_rate": 5.149503718393511e-10, + "loss": 0.8554, + "step": 42313 + }, + { + "epoch": 1.0, + "grad_norm": 1.4206666192803434, + "learning_rate": 5.072359337776611e-10, + "loss": 0.8317, + "step": 42314 + }, + { + "epoch": 1.0, + "grad_norm": 1.9850354264567294, + "learning_rate": 4.995797159279558e-10, + "loss": 0.8215, + "step": 42315 + }, + { + "epoch": 1.0, + "grad_norm": 1.5245094062735893, + "learning_rate": 4.919817183346443e-10, + "loss": 0.7401, + "step": 42316 + }, + { + "epoch": 1.0, + "grad_norm": 1.904510801935316, + "learning_rate": 4.844419410443557e-10, + "loss": 0.8634, + "step": 42317 + }, + { + "epoch": 1.0, + "grad_norm": 1.6721150500826345, + "learning_rate": 4.769603840981684e-10, + "loss": 0.8873, + "step": 42318 + }, + { + "epoch": 1.0, + "grad_norm": 1.887781265559562, + "learning_rate": 4.695370475416016e-10, + "loss": 0.7447, + "step": 42319 + }, + { + "epoch": 1.0, + "grad_norm": 1.570040814057697, + "learning_rate": 4.621719314168438e-10, + "loss": 0.8307, + "step": 42320 + }, + { + "epoch": 1.0, + "grad_norm": 0.7431849610357777, + "learning_rate": 4.5486503576719354e-10, + "loss": 0.6606, + "step": 42321 + }, + { + "epoch": 1.0, + "grad_norm": 1.5000086896801124, + "learning_rate": 4.476163606348394e-10, + "loss": 0.8107, + "step": 42322 + }, + { + "epoch": 1.0, + "grad_norm": 0.7598010768700281, + "learning_rate": 4.4042590606308e-10, + "loss": 0.6639, + "step": 42323 + }, + { + "epoch": 1.0, + "grad_norm": 1.5281419894126889, + "learning_rate": 4.3329367209188344e-10, + "loss": 0.7378, + "step": 42324 + }, + { + "epoch": 1.0, + "grad_norm": 1.530102193663849, + "learning_rate": 4.262196587645484e-10, + "loss": 0.8893, + "step": 42325 + }, + { + "epoch": 1.0, + "grad_norm": 0.8009162759554269, + "learning_rate": 4.1920386612215313e-10, + "loss": 0.6857, + "step": 42326 + }, + { + "epoch": 1.0, + "grad_norm": 1.5827992309832766, + "learning_rate": 4.1224629420466567e-10, + "loss": 0.812, + "step": 42327 + }, + { + "epoch": 1.0, + "grad_norm": 1.6130437045563712, + "learning_rate": 4.05346943052054e-10, + "loss": 0.7674, + "step": 42328 + }, + { + "epoch": 1.0, + "grad_norm": 1.7572872830577089, + "learning_rate": 3.9850581270539645e-10, + "loss": 0.8096, + "step": 42329 + }, + { + "epoch": 1.0, + "grad_norm": 0.7456067495461538, + "learning_rate": 3.917229032057712e-10, + "loss": 0.6819, + "step": 42330 + }, + { + "epoch": 1.0, + "grad_norm": 1.6103768962266374, + "learning_rate": 3.849982145898157e-10, + "loss": 0.7954, + "step": 42331 + }, + { + "epoch": 1.0, + "grad_norm": 1.678809575434849, + "learning_rate": 3.7833174689860806e-10, + "loss": 0.7353, + "step": 42332 + }, + { + "epoch": 1.0, + "grad_norm": 1.5639480268501431, + "learning_rate": 3.717235001710062e-10, + "loss": 0.9178, + "step": 42333 + }, + { + "epoch": 1.0, + "grad_norm": 1.6673638802928474, + "learning_rate": 3.651734744447577e-10, + "loss": 0.9044, + "step": 42334 + }, + { + "epoch": 1.0, + "grad_norm": 1.6662385252412726, + "learning_rate": 3.586816697587203e-10, + "loss": 0.7697, + "step": 42335 + }, + { + "epoch": 1.0, + "grad_norm": 1.5016297580898017, + "learning_rate": 3.522480861506417e-10, + "loss": 0.8383, + "step": 42336 + }, + { + "epoch": 1.0, + "grad_norm": 1.754537462342581, + "learning_rate": 3.458727236571591e-10, + "loss": 0.7803, + "step": 42337 + }, + { + "epoch": 1.0, + "grad_norm": 1.4129696153602096, + "learning_rate": 3.3955558231490994e-10, + "loss": 0.7087, + "step": 42338 + }, + { + "epoch": 1.0, + "grad_norm": 1.54263393277406, + "learning_rate": 3.3329666216275205e-10, + "loss": 0.8123, + "step": 42339 + }, + { + "epoch": 1.0, + "grad_norm": 1.929734894612325, + "learning_rate": 3.2709596323510227e-10, + "loss": 0.7339, + "step": 42340 + }, + { + "epoch": 1.0, + "grad_norm": 1.903380903158645, + "learning_rate": 3.2095348556970827e-10, + "loss": 0.8473, + "step": 42341 + }, + { + "epoch": 1.0, + "grad_norm": 1.5583820869473068, + "learning_rate": 3.1486922920098696e-10, + "loss": 0.9118, + "step": 42342 + }, + { + "epoch": 1.0, + "grad_norm": 1.76130199748163, + "learning_rate": 3.088431941655756e-10, + "loss": 0.8269, + "step": 42343 + }, + { + "epoch": 1.0, + "grad_norm": 1.7428066662309443, + "learning_rate": 3.028753804978912e-10, + "loss": 0.8805, + "step": 42344 + }, + { + "epoch": 1.0, + "grad_norm": 1.9835343917981951, + "learning_rate": 2.9696578823235067e-10, + "loss": 0.6295, + "step": 42345 + }, + { + "epoch": 1.0, + "grad_norm": 1.4699856380268777, + "learning_rate": 2.9111441740337085e-10, + "loss": 0.8557, + "step": 42346 + }, + { + "epoch": 1.0, + "grad_norm": 1.754167816381501, + "learning_rate": 2.8532126804647895e-10, + "loss": 0.8181, + "step": 42347 + }, + { + "epoch": 1.0, + "grad_norm": 0.7562666280145057, + "learning_rate": 2.795863401927612e-10, + "loss": 0.6922, + "step": 42348 + }, + { + "epoch": 1.0, + "grad_norm": 1.6570736136817459, + "learning_rate": 2.739096338788549e-10, + "loss": 0.7897, + "step": 42349 + }, + { + "epoch": 1.0, + "grad_norm": 1.557820296759749, + "learning_rate": 2.682911491347362e-10, + "loss": 0.9207, + "step": 42350 + }, + { + "epoch": 1.0, + "grad_norm": 1.7151487304376793, + "learning_rate": 2.627308859948219e-10, + "loss": 0.8413, + "step": 42351 + }, + { + "epoch": 1.0, + "grad_norm": 1.620145260074418, + "learning_rate": 2.5722884449130845e-10, + "loss": 0.9372, + "step": 42352 + }, + { + "epoch": 1.0, + "grad_norm": 1.672510711756633, + "learning_rate": 2.517850246563924e-10, + "loss": 0.6785, + "step": 42353 + }, + { + "epoch": 1.0, + "grad_norm": 1.5487065206626083, + "learning_rate": 2.4639942652116e-10, + "loss": 0.894, + "step": 42354 + }, + { + "epoch": 1.0, + "grad_norm": 2.2441762691374767, + "learning_rate": 2.4107205011780764e-10, + "loss": 0.9329, + "step": 42355 + }, + { + "epoch": 1.0, + "grad_norm": 1.8377528113923243, + "learning_rate": 2.358028954763114e-10, + "loss": 0.9403, + "step": 42356 + }, + { + "epoch": 1.0, + "grad_norm": 2.368813522864278, + "learning_rate": 2.305919626277575e-10, + "loss": 0.8236, + "step": 42357 + }, + { + "epoch": 1.0, + "grad_norm": 0.7267870910597, + "learning_rate": 2.25439251602122e-10, + "loss": 0.6819, + "step": 42358 + }, + { + "epoch": 1.0, + "grad_norm": 1.4021410201983482, + "learning_rate": 2.203447624304911e-10, + "loss": 0.8096, + "step": 42359 + }, + { + "epoch": 1.0, + "grad_norm": 1.6283404559527797, + "learning_rate": 2.1530849514173057e-10, + "loss": 0.8929, + "step": 42360 + }, + { + "epoch": 1.0, + "grad_norm": 1.8590806005131697, + "learning_rate": 2.103304497658165e-10, + "loss": 0.7862, + "step": 42361 + }, + { + "epoch": 1.0, + "grad_norm": 1.491821665233555, + "learning_rate": 2.0541062633050446e-10, + "loss": 0.7952, + "step": 42362 + }, + { + "epoch": 1.0, + "grad_norm": 1.4912443547604637, + "learning_rate": 2.0054902486466022e-10, + "loss": 0.8533, + "step": 42363 + }, + { + "epoch": 1.0, + "grad_norm": 1.9175440128812808, + "learning_rate": 1.957456453982598e-10, + "loss": 0.7785, + "step": 42364 + }, + { + "epoch": 1.0, + "grad_norm": 1.656828818899101, + "learning_rate": 1.9100048795794858e-10, + "loss": 0.6997, + "step": 42365 + }, + { + "epoch": 1.0, + "grad_norm": 2.3646361269618206, + "learning_rate": 1.8631355257148209e-10, + "loss": 0.5688, + "step": 42366 + }, + { + "epoch": 1.0, + "grad_norm": 1.554456251505699, + "learning_rate": 1.8168483926550574e-10, + "loss": 0.7508, + "step": 42367 + }, + { + "epoch": 1.0, + "grad_norm": 1.6163076357423498, + "learning_rate": 1.7711434806888527e-10, + "loss": 0.8134, + "step": 42368 + }, + { + "epoch": 1.0, + "grad_norm": 1.6567461972478963, + "learning_rate": 1.7260207900604565e-10, + "loss": 0.8399, + "step": 42369 + }, + { + "epoch": 1.0, + "grad_norm": 1.618767125981532, + "learning_rate": 1.6814803210363217e-10, + "loss": 0.793, + "step": 42370 + }, + { + "epoch": 1.0, + "grad_norm": 1.4749044005377998, + "learning_rate": 1.6375220738940046e-10, + "loss": 0.8276, + "step": 42371 + }, + { + "epoch": 1.0, + "grad_norm": 1.5494425664509803, + "learning_rate": 1.5941460488777538e-10, + "loss": 0.8955, + "step": 42372 + }, + { + "epoch": 1.0, + "grad_norm": 1.4794741559031412, + "learning_rate": 1.5513522462318188e-10, + "loss": 0.8381, + "step": 42373 + }, + { + "epoch": 1.0, + "grad_norm": 1.517597682791875, + "learning_rate": 1.5091406662115505e-10, + "loss": 0.8073, + "step": 42374 + }, + { + "epoch": 1.0, + "grad_norm": 1.737958664827841, + "learning_rate": 1.4675113090723004e-10, + "loss": 0.8475, + "step": 42375 + }, + { + "epoch": 1.0, + "grad_norm": 1.743797678119651, + "learning_rate": 1.426464175036113e-10, + "loss": 0.791, + "step": 42376 + }, + { + "epoch": 1.0, + "grad_norm": 1.4951157662146957, + "learning_rate": 1.385999264369442e-10, + "loss": 0.7639, + "step": 42377 + }, + { + "epoch": 1.0, + "grad_norm": 1.655906742083098, + "learning_rate": 1.3461165772832297e-10, + "loss": 0.9133, + "step": 42378 + }, + { + "epoch": 1.0, + "grad_norm": 1.711481373369709, + "learning_rate": 1.3068161140217251e-10, + "loss": 0.746, + "step": 42379 + }, + { + "epoch": 1.0, + "grad_norm": 1.6205998008034985, + "learning_rate": 1.2680978748069728e-10, + "loss": 0.7897, + "step": 42380 + }, + { + "epoch": 1.0, + "grad_norm": 1.4254557830862515, + "learning_rate": 1.2299618598721197e-10, + "loss": 0.9142, + "step": 42381 + }, + { + "epoch": 1.0, + "grad_norm": 1.8591513663749548, + "learning_rate": 1.1924080694281083e-10, + "loss": 0.8627, + "step": 42382 + }, + { + "epoch": 1.0, + "grad_norm": 1.4162508723703597, + "learning_rate": 1.1554365037080851e-10, + "loss": 0.8123, + "step": 42383 + }, + { + "epoch": 1.0, + "grad_norm": 3.4835954076530324, + "learning_rate": 1.1190471629229927e-10, + "loss": 0.6787, + "step": 42384 + }, + { + "epoch": 1.0, + "grad_norm": 2.0974411100014017, + "learning_rate": 1.0832400472726711e-10, + "loss": 0.8004, + "step": 42385 + }, + { + "epoch": 1.0, + "grad_norm": 1.5188324452325102, + "learning_rate": 1.0480151569791652e-10, + "loss": 0.8004, + "step": 42386 + }, + { + "epoch": 1.0, + "grad_norm": 1.5881754973867008, + "learning_rate": 1.0133724922534171e-10, + "loss": 0.7761, + "step": 42387 + }, + { + "epoch": 1.0, + "grad_norm": 1.530300597311648, + "learning_rate": 9.793120532730627e-11, + "loss": 0.8445, + "step": 42388 + }, + { + "epoch": 1.0, + "grad_norm": 0.752864017170777, + "learning_rate": 9.458338402601464e-11, + "loss": 0.7353, + "step": 42389 + }, + { + "epoch": 1.0, + "grad_norm": 1.972268878588096, + "learning_rate": 9.129378533923038e-11, + "loss": 0.7017, + "step": 42390 + }, + { + "epoch": 1.0, + "grad_norm": 1.5670237928647317, + "learning_rate": 8.806240928693755e-11, + "loss": 0.7622, + "step": 42391 + }, + { + "epoch": 1.0, + "grad_norm": 1.523320874941075, + "learning_rate": 8.488925588800989e-11, + "loss": 0.7929, + "step": 42392 + }, + { + "epoch": 1.0, + "grad_norm": 2.1553693073998654, + "learning_rate": 8.177432516132122e-11, + "loss": 0.8052, + "step": 42393 + }, + { + "epoch": 1.0, + "grad_norm": 1.5233110572155484, + "learning_rate": 7.871761712352489e-11, + "loss": 0.8672, + "step": 42394 + }, + { + "epoch": 1.0, + "grad_norm": 1.6344758478578412, + "learning_rate": 7.571913179349466e-11, + "loss": 0.9136, + "step": 42395 + }, + { + "epoch": 1.0, + "grad_norm": 1.5261513944129594, + "learning_rate": 7.277886918899413e-11, + "loss": 0.8005, + "step": 42396 + }, + { + "epoch": 1.0, + "grad_norm": 2.2657167507705034, + "learning_rate": 6.989682932667663e-11, + "loss": 0.7965, + "step": 42397 + }, + { + "epoch": 1.0, + "grad_norm": 1.506437670504428, + "learning_rate": 6.707301222319551e-11, + "loss": 0.7731, + "step": 42398 + }, + { + "epoch": 1.0, + "grad_norm": 1.6247860403611012, + "learning_rate": 6.430741789520412e-11, + "loss": 0.8817, + "step": 42399 + }, + { + "epoch": 1.0, + "grad_norm": 0.8173171461774766, + "learning_rate": 6.160004635824556e-11, + "loss": 0.7117, + "step": 42400 + }, + { + "epoch": 1.0, + "grad_norm": 1.6906380678175226, + "learning_rate": 5.895089762897322e-11, + "loss": 0.8592, + "step": 42401 + }, + { + "epoch": 1.0, + "grad_norm": 1.3813259537312768, + "learning_rate": 5.6359971722930176e-11, + "loss": 0.7661, + "step": 42402 + }, + { + "epoch": 1.0, + "grad_norm": 1.532038578128869, + "learning_rate": 5.3827268654549346e-11, + "loss": 0.7459, + "step": 42403 + }, + { + "epoch": 1.0, + "grad_norm": 1.457747653819832, + "learning_rate": 5.135278843826363e-11, + "loss": 0.8061, + "step": 42404 + }, + { + "epoch": 1.0, + "grad_norm": 0.7749156422696826, + "learning_rate": 4.8936531088505936e-11, + "loss": 0.7089, + "step": 42405 + }, + { + "epoch": 1.0, + "grad_norm": 2.0874771757125266, + "learning_rate": 4.657849662081937e-11, + "loss": 0.8608, + "step": 42406 + }, + { + "epoch": 1.0, + "grad_norm": 1.6188922329249824, + "learning_rate": 4.4278685047416395e-11, + "loss": 0.7246, + "step": 42407 + }, + { + "epoch": 1.0, + "grad_norm": 1.6848098459154524, + "learning_rate": 4.203709638161968e-11, + "loss": 0.8646, + "step": 42408 + }, + { + "epoch": 1.0, + "grad_norm": 2.1026916178637434, + "learning_rate": 3.985373063786213e-11, + "loss": 0.7923, + "step": 42409 + }, + { + "epoch": 1.0, + "grad_norm": 1.6494247039239345, + "learning_rate": 3.772858782724598e-11, + "loss": 0.7838, + "step": 42410 + }, + { + "epoch": 1.0, + "grad_norm": 1.6365596778509703, + "learning_rate": 3.566166796420412e-11, + "loss": 0.8066, + "step": 42411 + }, + { + "epoch": 1.0, + "grad_norm": 1.5408723679261327, + "learning_rate": 3.3652971057618336e-11, + "loss": 0.7382, + "step": 42412 + }, + { + "epoch": 1.0, + "grad_norm": 0.7499157608675954, + "learning_rate": 3.170249712303175e-11, + "loss": 0.706, + "step": 42413 + }, + { + "epoch": 1.0, + "grad_norm": 1.4740685944299978, + "learning_rate": 2.9810246168215926e-11, + "loss": 0.7186, + "step": 42414 + }, + { + "epoch": 1.0, + "grad_norm": 1.6854286601845205, + "learning_rate": 2.7976218206493543e-11, + "loss": 0.8248, + "step": 42415 + }, + { + "epoch": 1.0, + "grad_norm": 1.7837237791919032, + "learning_rate": 2.6200413247856605e-11, + "loss": 0.9775, + "step": 42416 + }, + { + "epoch": 1.0, + "grad_norm": 2.4275282060553205, + "learning_rate": 2.4482831302297118e-11, + "loss": 0.9373, + "step": 42417 + }, + { + "epoch": 1.0, + "grad_norm": 1.5726815320551197, + "learning_rate": 2.2823472379807086e-11, + "loss": 0.9319, + "step": 42418 + }, + { + "epoch": 1.0, + "grad_norm": 1.8312925336539139, + "learning_rate": 2.1222336491488748e-11, + "loss": 1.0068, + "step": 42419 + }, + { + "epoch": 1.0, + "grad_norm": 1.6000510701129718, + "learning_rate": 1.967942364511366e-11, + "loss": 0.8118, + "step": 42420 + }, + { + "epoch": 1.0, + "grad_norm": 1.536595500207733, + "learning_rate": 1.8194733849563605e-11, + "loss": 0.7569, + "step": 42421 + }, + { + "epoch": 1.0, + "grad_norm": 1.5529557373756895, + "learning_rate": 1.6768267114830594e-11, + "loss": 0.8572, + "step": 42422 + }, + { + "epoch": 1.0, + "grad_norm": 1.592301714447548, + "learning_rate": 1.5400023447575962e-11, + "loss": 0.8736, + "step": 42423 + }, + { + "epoch": 1.0, + "grad_norm": 2.5182829705238743, + "learning_rate": 1.4090002856681495e-11, + "loss": 0.8393, + "step": 42424 + }, + { + "epoch": 1.0, + "grad_norm": 1.6652589112893745, + "learning_rate": 1.2838205351028976e-11, + "loss": 0.8292, + "step": 42425 + }, + { + "epoch": 1.0, + "grad_norm": 1.6035177651211294, + "learning_rate": 1.1644630935059298e-11, + "loss": 0.8648, + "step": 42426 + }, + { + "epoch": 1.0, + "grad_norm": 1.4846239784637403, + "learning_rate": 1.0509279617654245e-11, + "loss": 0.7653, + "step": 42427 + }, + { + "epoch": 1.0, + "grad_norm": 1.7372140680678336, + "learning_rate": 9.432151405475153e-12, + "loss": 0.8524, + "step": 42428 + }, + { + "epoch": 1.0, + "grad_norm": 1.524340191444371, + "learning_rate": 8.413246304073142e-12, + "loss": 0.7568, + "step": 42429 + }, + { + "epoch": 1.0, + "grad_norm": 1.7091729237564082, + "learning_rate": 7.452564318999322e-12, + "loss": 0.8424, + "step": 42430 + }, + { + "epoch": 1.0, + "grad_norm": 1.4610877225365777, + "learning_rate": 6.550105456915035e-12, + "loss": 0.7819, + "step": 42431 + }, + { + "epoch": 1.0, + "grad_norm": 2.0087337206794924, + "learning_rate": 5.705869723371394e-12, + "loss": 0.8306, + "step": 42432 + }, + { + "epoch": 1.0, + "grad_norm": 1.6080479046297582, + "learning_rate": 4.919857121699068e-12, + "loss": 0.8515, + "step": 42433 + }, + { + "epoch": 1.0, + "grad_norm": 1.6577693568579919, + "learning_rate": 4.192067657449173e-12, + "loss": 0.8123, + "step": 42434 + }, + { + "epoch": 1.0, + "grad_norm": 2.074026779924166, + "learning_rate": 3.5225013350626004e-12, + "loss": 0.785, + "step": 42435 + }, + { + "epoch": 1.0, + "grad_norm": 1.7912241012690377, + "learning_rate": 2.9111581578700197e-12, + "loss": 0.8867, + "step": 42436 + }, + { + "epoch": 1.0, + "grad_norm": 1.6805713546674979, + "learning_rate": 2.3580381292021006e-12, + "loss": 0.7668, + "step": 42437 + }, + { + "epoch": 1.0, + "grad_norm": 1.7593399916820958, + "learning_rate": 1.863141253499734e-12, + "loss": 0.8347, + "step": 42438 + }, + { + "epoch": 1.0, + "grad_norm": 1.3698041207772478, + "learning_rate": 1.4264675329833665e-12, + "loss": 0.8177, + "step": 42439 + }, + { + "epoch": 1.0, + "grad_norm": 0.731730163913853, + "learning_rate": 1.0480169687632214e-12, + "loss": 0.6858, + "step": 42440 + }, + { + "epoch": 1.0, + "grad_norm": 1.453824357005901, + "learning_rate": 7.277895663904133e-13, + "loss": 0.8498, + "step": 42441 + }, + { + "epoch": 1.0, + "grad_norm": 1.6918765697035005, + "learning_rate": 4.657853236444964e-13, + "loss": 0.7151, + "step": 42442 + }, + { + "epoch": 1.0, + "grad_norm": 1.4599947086625775, + "learning_rate": 2.620042460765859e-13, + "loss": 0.8809, + "step": 42443 + }, + { + "epoch": 1.0, + "grad_norm": 1.6481103478531685, + "learning_rate": 1.1644633146623564e-13, + "loss": 0.8487, + "step": 42444 + }, + { + "epoch": 1.0, + "grad_norm": 1.6794883078153966, + "learning_rate": 2.9111583144114664e-14, + "loss": 0.7506, + "step": 42445 + }, + { + "epoch": 1.0, + "grad_norm": 1.3701915655778307, + "learning_rate": 0.0, + "loss": 0.6517, + "step": 42446 + }, + { + "epoch": 1.0, + "step": 42446, + "total_flos": 1.6390346793348497e+19, + "train_loss": 0.8575404643863601, + "train_runtime": 148237.3426, + "train_samples_per_second": 36.651, + "train_steps_per_second": 0.286 + } + ], + "logging_steps": 1.0, + "max_steps": 42446, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 10000, + "total_flos": 1.6390346793348497e+19, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +}