{ "best_metric": null, "best_model_checkpoint": null, "epoch": 0.75, "eval_steps": 500, "global_step": 300, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "completion_length": 135.25000762939453, "epoch": 0.0025, "grad_norm": 4.3187419389243376, "kl": 0.0, "learning_rate": 9.9875e-07, "loss": -0.0, "reward": 0.1666666716337204, "reward_std": 0.23899273574352264, "rewards/accuracy_reward": 0.125, "rewards/format_reward": 0.0416666679084301, "step": 1 }, { "completion_length": 117.58333587646484, "epoch": 0.005, "grad_norm": 4.103500404066666, "kl": 0.00040721893310546875, "learning_rate": 9.975e-07, "loss": 0.0, "reward": 0.125, "reward_std": 0.1369306445121765, "rewards/accuracy_reward": 0.0, "rewards/format_reward": 0.125, "step": 2 }, { "completion_length": 118.87500381469727, "epoch": 0.0075, "grad_norm": 6.369368643333465, "kl": 0.0008068084716796875, "learning_rate": 9.9625e-07, "loss": 0.0, "reward": 0.2083333358168602, "reward_std": 0.4352857172489166, "rewards/accuracy_reward": 0.0833333358168602, "rewards/format_reward": 0.1250000037252903, "step": 3 }, { "completion_length": 155.0833396911621, "epoch": 0.01, "grad_norm": 20.444652962817383, "kl": 0.001117706298828125, "learning_rate": 9.95e-07, "loss": 0.0, "reward": 0.2500000111758709, "reward_std": 0.4403265342116356, "rewards/accuracy_reward": 0.125, "rewards/format_reward": 0.1250000037252903, "step": 4 }, { "completion_length": 106.08333587646484, "epoch": 0.0125, "grad_norm": 7.9727528386684146, "kl": 0.0011138916015625, "learning_rate": 9.9375e-07, "loss": 0.0, "reward": 0.3333333358168602, "reward_std": 0.6224541813135147, "rewards/accuracy_reward": 0.2083333358168602, "rewards/format_reward": 0.125, "step": 5 }, { "completion_length": 137.20833587646484, "epoch": 0.015, "grad_norm": 37.719903416343634, "kl": 0.00411224365234375, "learning_rate": 9.925e-07, "loss": 0.0002, "reward": 0.8333333432674408, "reward_std": 0.8705713450908661, "rewards/accuracy_reward": 0.4166666865348816, "rewards/format_reward": 0.4166666865348816, "step": 6 }, { "completion_length": 94.45833587646484, "epoch": 0.0175, "grad_norm": 15.811856429811904, "kl": 0.005523681640625, "learning_rate": 9.912499999999998e-07, "loss": 0.0002, "reward": 0.4583333432674408, "reward_std": 0.5918936878442764, "rewards/accuracy_reward": 0.1666666679084301, "rewards/format_reward": 0.291666679084301, "step": 7 }, { "completion_length": 115.79166793823242, "epoch": 0.02, "grad_norm": 15.46124375226576, "kl": 0.012359619140625, "learning_rate": 9.9e-07, "loss": 0.0005, "reward": 0.4791666865348816, "reward_std": 0.7572853863239288, "rewards/accuracy_reward": 0.2708333432674408, "rewards/format_reward": 0.2083333358168602, "step": 8 }, { "completion_length": 111.66667175292969, "epoch": 0.0225, "grad_norm": 26.742629502915644, "kl": 0.008148193359375, "learning_rate": 9.8875e-07, "loss": 0.0003, "reward": 0.791666716337204, "reward_std": 0.7401774525642395, "rewards/accuracy_reward": 0.3750000223517418, "rewards/format_reward": 0.4166666865348816, "step": 9 }, { "completion_length": 86.37500381469727, "epoch": 0.025, "grad_norm": 8.114967888040798, "kl": 0.0157470703125, "learning_rate": 9.875e-07, "loss": 0.0006, "reward": 0.7083333432674408, "reward_std": 0.6621108055114746, "rewards/accuracy_reward": 0.2916666716337204, "rewards/format_reward": 0.4166666865348816, "step": 10 }, { "completion_length": 102.875, "epoch": 0.0275, "grad_norm": 9.33610011715284, "kl": 0.01385498046875, "learning_rate": 9.862499999999999e-07, "loss": 0.0006, "reward": 1.0833333730697632, "reward_std": 0.6234788298606873, "rewards/accuracy_reward": 0.291666679084301, "rewards/format_reward": 0.7916666865348816, "step": 11 }, { "completion_length": 72.04166793823242, "epoch": 0.03, "grad_norm": 28.44553169004122, "kl": 0.056884765625, "learning_rate": 9.849999999999999e-07, "loss": 0.0023, "reward": 1.3333333730697632, "reward_std": 0.7672148048877716, "rewards/accuracy_reward": 0.5416666865348816, "rewards/format_reward": 0.7916666865348816, "step": 12 }, { "completion_length": 94.25000381469727, "epoch": 0.0325, "grad_norm": 7.7534755603476295, "kl": 0.03045654296875, "learning_rate": 9.8375e-07, "loss": 0.0012, "reward": 0.9166666865348816, "reward_std": 0.8366837203502655, "rewards/accuracy_reward": 0.3750000149011612, "rewards/format_reward": 0.5416666865348816, "step": 13 }, { "completion_length": 85.45833587646484, "epoch": 0.035, "grad_norm": 8.954286118853258, "kl": 0.0286865234375, "learning_rate": 9.825e-07, "loss": 0.0011, "reward": 1.3333333730697632, "reward_std": 0.49133746325969696, "rewards/accuracy_reward": 0.583333358168602, "rewards/format_reward": 0.75, "step": 14 }, { "completion_length": 84.75000381469727, "epoch": 0.0375, "grad_norm": 6.787317409547862, "kl": 0.0479736328125, "learning_rate": 9.8125e-07, "loss": 0.0019, "reward": 1.2916666865348816, "reward_std": 0.5646616071462631, "rewards/accuracy_reward": 0.4166666865348816, "rewards/format_reward": 0.8750000298023224, "step": 15 }, { "completion_length": 79.00000381469727, "epoch": 0.04, "grad_norm": 12.000529715665422, "kl": 0.0469970703125, "learning_rate": 9.8e-07, "loss": 0.0019, "reward": 1.2083333730697632, "reward_std": 0.5714030414819717, "rewards/accuracy_reward": 0.4166666716337204, "rewards/format_reward": 0.7916666865348816, "step": 16 }, { "completion_length": 72.58333587646484, "epoch": 0.0425, "grad_norm": 6.631858893642277, "kl": 0.0296630859375, "learning_rate": 9.7875e-07, "loss": 0.0012, "reward": 1.125, "reward_std": 0.42718589305877686, "rewards/accuracy_reward": 0.3333333432674408, "rewards/format_reward": 0.7916666865348816, "step": 17 }, { "completion_length": 80.20833587646484, "epoch": 0.045, "grad_norm": 7.461874304434306, "kl": 0.033447265625, "learning_rate": 9.775e-07, "loss": 0.0013, "reward": 1.2500000298023224, "reward_std": 0.3332235887646675, "rewards/accuracy_reward": 0.3333333544433117, "rewards/format_reward": 0.9166666865348816, "step": 18 }, { "completion_length": 77.45833587646484, "epoch": 0.0475, "grad_norm": 15.843571456536381, "kl": 0.0758056640625, "learning_rate": 9.7625e-07, "loss": 0.003, "reward": 1.2083333730697632, "reward_std": 0.6795306503772736, "rewards/accuracy_reward": 0.3750000149011612, "rewards/format_reward": 0.8333333730697632, "step": 19 }, { "completion_length": 74.16666793823242, "epoch": 0.05, "grad_norm": 10.26314464339147, "kl": 0.0343017578125, "learning_rate": 9.75e-07, "loss": 0.0014, "reward": 1.3333333730697632, "reward_std": 0.46232303977012634, "rewards/accuracy_reward": 0.4166666865348816, "rewards/format_reward": 0.9166666865348816, "step": 20 }, { "completion_length": 75.70833587646484, "epoch": 0.0525, "grad_norm": 74.55790491289811, "kl": 0.0345458984375, "learning_rate": 9.7375e-07, "loss": 0.0014, "reward": 1.3333333730697632, "reward_std": 0.6360993385314941, "rewards/accuracy_reward": 0.4166666716337204, "rewards/format_reward": 0.9166666865348816, "step": 21 }, { "completion_length": 57.45833396911621, "epoch": 0.055, "grad_norm": 8.310598933918627, "kl": 0.148681640625, "learning_rate": 9.725e-07, "loss": 0.006, "reward": 1.4166667461395264, "reward_std": 0.3680921941995621, "rewards/accuracy_reward": 0.5000000149011612, "rewards/format_reward": 0.9166666865348816, "step": 22 }, { "completion_length": 54.62500190734863, "epoch": 0.0575, "grad_norm": 17.70309158653018, "kl": 0.072021484375, "learning_rate": 9.712499999999998e-07, "loss": 0.0029, "reward": 1.5000000596046448, "reward_std": 0.3680921494960785, "rewards/accuracy_reward": 0.5000000298023224, "rewards/format_reward": 1.0, "step": 23 }, { "completion_length": 60.416669845581055, "epoch": 0.06, "grad_norm": 8.426296910342877, "kl": 0.052734375, "learning_rate": 9.7e-07, "loss": 0.0021, "reward": 1.6875000596046448, "reward_std": 0.3540605455636978, "rewards/accuracy_reward": 0.6875000298023224, "rewards/format_reward": 1.0, "step": 24 }, { "completion_length": 65.70833587646484, "epoch": 0.0625, "grad_norm": 11.31257030642023, "kl": 0.05615234375, "learning_rate": 9.6875e-07, "loss": 0.0022, "reward": 1.4166666865348816, "reward_std": 0.5373477190732956, "rewards/accuracy_reward": 0.4583333432674408, "rewards/format_reward": 0.9583333432674408, "step": 25 }, { "completion_length": 59.625003814697266, "epoch": 0.065, "grad_norm": 52.11448679039176, "kl": 0.0579833984375, "learning_rate": 9.675e-07, "loss": 0.0023, "reward": 1.0833333432674408, "reward_std": 0.23899271339178085, "rewards/accuracy_reward": 0.125, "rewards/format_reward": 0.9583333432674408, "step": 26 }, { "completion_length": 56.29166793823242, "epoch": 0.0675, "grad_norm": 6.130006627510818, "kl": 0.099365234375, "learning_rate": 9.6625e-07, "loss": 0.004, "reward": 1.4166666865348816, "reward_std": 0.3251238167285919, "rewards/accuracy_reward": 0.4583333358168602, "rewards/format_reward": 0.9583333432674408, "step": 27 }, { "completion_length": 50.75000190734863, "epoch": 0.07, "grad_norm": 9.439568241641684, "kl": 0.0650634765625, "learning_rate": 9.649999999999999e-07, "loss": 0.0026, "reward": 1.5416667461395264, "reward_std": 0.23116152733564377, "rewards/accuracy_reward": 0.5416666865348816, "rewards/format_reward": 1.0, "step": 28 }, { "completion_length": 44.583335876464844, "epoch": 0.0725, "grad_norm": 4.611117210184683, "kl": 0.0576171875, "learning_rate": 9.637499999999999e-07, "loss": 0.0023, "reward": 1.5416666865348816, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.5416666865348816, "rewards/format_reward": 1.0, "step": 29 }, { "completion_length": 73.00000381469727, "epoch": 0.075, "grad_norm": 0.9935764144637615, "kl": 0.0751953125, "learning_rate": 9.624999999999999e-07, "loss": 0.003, "reward": 1.5, "reward_std": 0.0, "rewards/accuracy_reward": 0.5416666865348816, "rewards/format_reward": 0.9583333432674408, "step": 30 }, { "completion_length": 53.33333396911621, "epoch": 0.0775, "grad_norm": 10.787013479194396, "kl": 0.07568359375, "learning_rate": 9.6125e-07, "loss": 0.003, "reward": 1.5416666865348816, "reward_std": 0.39512956142425537, "rewards/accuracy_reward": 0.5416666716337204, "rewards/format_reward": 1.0, "step": 31 }, { "completion_length": 54.79166793823242, "epoch": 0.08, "grad_norm": 15.902958221650678, "kl": 0.055908203125, "learning_rate": 9.6e-07, "loss": 0.0022, "reward": 1.4583333730697632, "reward_std": 0.2601759508252144, "rewards/accuracy_reward": 0.5000000298023224, "rewards/format_reward": 0.9583333432674408, "step": 32 }, { "completion_length": 54.83333396911621, "epoch": 0.0825, "grad_norm": 9.68655515316935, "kl": 0.05126953125, "learning_rate": 9.5875e-07, "loss": 0.002, "reward": 1.5416667461395264, "reward_std": 0.3061862215399742, "rewards/accuracy_reward": 0.5833333432674408, "rewards/format_reward": 0.9583333432674408, "step": 33 }, { "completion_length": 46.58333396911621, "epoch": 0.085, "grad_norm": 7.9623502770430195, "kl": 0.05859375, "learning_rate": 9.575e-07, "loss": 0.0023, "reward": 1.7083333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.7083333432674408, "rewards/format_reward": 1.0, "step": 34 }, { "completion_length": 53.16666793823242, "epoch": 0.0875, "grad_norm": 8.168996294540337, "kl": 0.08251953125, "learning_rate": 9.5625e-07, "loss": 0.0033, "reward": 1.5416666865348816, "reward_std": 0.26603007316589355, "rewards/accuracy_reward": 0.5416666865348816, "rewards/format_reward": 1.0, "step": 35 }, { "completion_length": 59.333335876464844, "epoch": 0.09, "grad_norm": 8.505271344801097, "kl": 0.053466796875, "learning_rate": 9.55e-07, "loss": 0.0021, "reward": 1.3333333730697632, "reward_std": 0.3332235887646675, "rewards/accuracy_reward": 0.3333333544433117, "rewards/format_reward": 1.0, "step": 36 }, { "completion_length": 65.08333587646484, "epoch": 0.0925, "grad_norm": 7.953549431636307, "kl": 0.0482177734375, "learning_rate": 9.5375e-07, "loss": 0.0019, "reward": 1.7083333730697632, "reward_std": 0.37592338025569916, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 0.9583333432674408, "step": 37 }, { "completion_length": 57.91666793823242, "epoch": 0.095, "grad_norm": 6.172142062081599, "kl": 0.059814453125, "learning_rate": 9.525e-07, "loss": 0.0024, "reward": 1.5833333730697632, "reward_std": 0.23899271339178085, "rewards/accuracy_reward": 0.5833333432674408, "rewards/format_reward": 1.0, "step": 38 }, { "completion_length": 60.166669845581055, "epoch": 0.0975, "grad_norm": 63.318354629363114, "kl": 0.054931640625, "learning_rate": 9.5125e-07, "loss": 0.0022, "reward": 1.8750000596046448, "reward_std": 0.23116153478622437, "rewards/accuracy_reward": 0.8750000298023224, "rewards/format_reward": 1.0, "step": 39 }, { "completion_length": 51.41666793823242, "epoch": 0.1, "grad_norm": 17.054147779969167, "kl": 0.0771484375, "learning_rate": 9.499999999999999e-07, "loss": 0.0031, "reward": 1.2500000596046448, "reward_std": 0.4431168884038925, "rewards/accuracy_reward": 0.3333333432674408, "rewards/format_reward": 0.9166666865348816, "step": 40 }, { "completion_length": 57.625, "epoch": 0.1025, "grad_norm": 7.977114237328186, "kl": 0.043212890625, "learning_rate": 9.487499999999999e-07, "loss": 0.0017, "reward": 1.7083333730697632, "reward_std": 0.3410547822713852, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 0.9166666865348816, "step": 41 }, { "completion_length": 58.375003814697266, "epoch": 0.105, "grad_norm": 9.771980963826733, "kl": 0.056884765625, "learning_rate": 9.474999999999999e-07, "loss": 0.0023, "reward": 1.7083333730697632, "reward_std": 0.39512956142425537, "rewards/accuracy_reward": 0.7083333432674408, "rewards/format_reward": 1.0, "step": 42 }, { "completion_length": 67.00000381469727, "epoch": 0.1075, "grad_norm": 6.345190754294424, "kl": 0.056884765625, "learning_rate": 9.462499999999999e-07, "loss": 0.0023, "reward": 1.6250000596046448, "reward_std": 0.3892754018306732, "rewards/accuracy_reward": 0.7083333730697632, "rewards/format_reward": 0.9166666865348816, "step": 43 }, { "completion_length": 68.75000381469727, "epoch": 0.11, "grad_norm": 7.078370979919857, "kl": 0.0556640625, "learning_rate": 9.45e-07, "loss": 0.0022, "reward": 1.7500000596046448, "reward_std": 0.3332235887646675, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 0.9583333432674408, "step": 44 }, { "completion_length": 55.125, "epoch": 0.1125, "grad_norm": 12.46450565501957, "kl": 0.05859375, "learning_rate": 9.4375e-07, "loss": 0.0023, "reward": 1.8750000596046448, "reward_std": 0.23116152733564377, "rewards/accuracy_reward": 0.8750000298023224, "rewards/format_reward": 1.0, "step": 45 }, { "completion_length": 66.45833587646484, "epoch": 0.115, "grad_norm": 9.74330758017454, "kl": 0.151123046875, "learning_rate": 9.425e-07, "loss": 0.006, "reward": 1.4583333730697632, "reward_std": 0.5133170187473297, "rewards/accuracy_reward": 0.5833333432674408, "rewards/format_reward": 0.8750000298023224, "step": 46 }, { "completion_length": 59.45833396911621, "epoch": 0.1175, "grad_norm": 3.2665063407104244, "kl": 0.0550537109375, "learning_rate": 9.4125e-07, "loss": 0.0022, "reward": 1.5416666865348816, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 0.5833333432674408, "rewards/format_reward": 0.9583333432674408, "step": 47 }, { "completion_length": 66.08333396911621, "epoch": 0.12, "grad_norm": 7.049241940629922, "kl": 0.078369140625, "learning_rate": 9.399999999999999e-07, "loss": 0.0031, "reward": 1.5416666865348816, "reward_std": 0.33826446533203125, "rewards/accuracy_reward": 0.5833333432674408, "rewards/format_reward": 0.9583333432674408, "step": 48 }, { "completion_length": 54.58333396911621, "epoch": 0.1225, "grad_norm": 19.39524628115419, "kl": 0.0606689453125, "learning_rate": 9.387499999999999e-07, "loss": 0.0024, "reward": 1.6666667461395264, "reward_std": 0.4779854714870453, "rewards/accuracy_reward": 0.7083333432674408, "rewards/format_reward": 0.9583333432674408, "step": 49 }, { "completion_length": 49.79166793823242, "epoch": 0.125, "grad_norm": 6.231498983069941, "kl": 0.05029296875, "learning_rate": 9.374999999999999e-07, "loss": 0.002, "reward": 1.7916666865348816, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 1.0, "step": 50 }, { "completion_length": 68.66666793823242, "epoch": 0.1275, "grad_norm": 22.55936033645877, "kl": 0.0743408203125, "learning_rate": 9.3625e-07, "loss": 0.003, "reward": 1.5625000596046448, "reward_std": 0.5052542686462402, "rewards/accuracy_reward": 0.6041666865348816, "rewards/format_reward": 0.9583333432674408, "step": 51 }, { "completion_length": 66.20833587646484, "epoch": 0.13, "grad_norm": 8.735323797284012, "kl": 0.091796875, "learning_rate": 9.35e-07, "loss": 0.0037, "reward": 1.9583333730697632, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 52 }, { "completion_length": 65.29166793823242, "epoch": 0.1325, "grad_norm": 27.60906731867457, "kl": 0.0546875, "learning_rate": 9.3375e-07, "loss": 0.0022, "reward": 1.4166667461395264, "reward_std": 0.3872983753681183, "rewards/accuracy_reward": 0.416666679084301, "rewards/format_reward": 1.0, "step": 53 }, { "completion_length": 63.583335876464844, "epoch": 0.135, "grad_norm": 8.445620379510913, "kl": 0.14404296875, "learning_rate": 9.325e-07, "loss": 0.0058, "reward": 1.7916667461395264, "reward_std": 0.341054804623127, "rewards/accuracy_reward": 0.8750000298023224, "rewards/format_reward": 0.9166666865348816, "step": 54 }, { "completion_length": 77.79166793823242, "epoch": 0.1375, "grad_norm": 4.846653160352893, "kl": 0.0599365234375, "learning_rate": 9.3125e-07, "loss": 0.0024, "reward": 1.7083333730697632, "reward_std": 0.306186206638813, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 0.8750000298023224, "step": 55 }, { "completion_length": 66.95833587646484, "epoch": 0.14, "grad_norm": 8.841402167892682, "kl": 0.0660400390625, "learning_rate": 9.3e-07, "loss": 0.0026, "reward": 1.5416666865348816, "reward_std": 0.48936043679714203, "rewards/accuracy_reward": 0.583333358168602, "rewards/format_reward": 0.9583333432674408, "step": 56 }, { "completion_length": 69.62500381469727, "epoch": 0.1425, "grad_norm": 7.967652723826169, "kl": 0.046142578125, "learning_rate": 9.287499999999999e-07, "loss": 0.0018, "reward": 1.4166666865348816, "reward_std": 0.3971066102385521, "rewards/accuracy_reward": 0.458333358168602, "rewards/format_reward": 0.9583333432674408, "step": 57 }, { "completion_length": 63.375003814697266, "epoch": 0.145, "grad_norm": 7.358323587086431, "kl": 0.0455322265625, "learning_rate": 9.274999999999999e-07, "loss": 0.0018, "reward": 1.6250000596046448, "reward_std": 0.42718592286109924, "rewards/accuracy_reward": 0.6666666865348816, "rewards/format_reward": 0.9583333432674408, "step": 58 }, { "completion_length": 60.875, "epoch": 0.1475, "grad_norm": 15.192207461658905, "kl": 0.186279296875, "learning_rate": 9.2625e-07, "loss": 0.0075, "reward": 1.6458333730697632, "reward_std": 0.1801304817199707, "rewards/accuracy_reward": 0.6875, "rewards/format_reward": 0.9583333432674408, "step": 59 }, { "completion_length": 69.70833587646484, "epoch": 0.15, "grad_norm": 11.20470960960183, "kl": 0.059814453125, "learning_rate": 9.25e-07, "loss": 0.0024, "reward": 1.6250000596046448, "reward_std": 0.43528565764427185, "rewards/accuracy_reward": 0.7500000298023224, "rewards/format_reward": 0.875, "step": 60 }, { "completion_length": 58.00000190734863, "epoch": 0.1525, "grad_norm": 6.997738487865672, "kl": 0.0654296875, "learning_rate": 9.237499999999999e-07, "loss": 0.0026, "reward": 1.75, "reward_std": 0.3680921643972397, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 1.0, "step": 61 }, { "completion_length": 61.41666793823242, "epoch": 0.155, "grad_norm": 16.323714568650235, "kl": 0.057861328125, "learning_rate": 9.225e-07, "loss": 0.0023, "reward": 1.166666716337204, "reward_std": 0.6123371124267578, "rewards/accuracy_reward": 0.291666679084301, "rewards/format_reward": 0.875, "step": 62 }, { "completion_length": 72.16666793823242, "epoch": 0.1575, "grad_norm": 8.688472666286163, "kl": 0.0504150390625, "learning_rate": 9.2125e-07, "loss": 0.002, "reward": 1.7083333730697632, "reward_std": 0.23116152733564377, "rewards/accuracy_reward": 0.7083333730697632, "rewards/format_reward": 1.0, "step": 63 }, { "completion_length": 67.58333396911621, "epoch": 0.16, "grad_norm": 0.3043968655675616, "kl": 0.0498046875, "learning_rate": 9.2e-07, "loss": 0.002, "reward": 1.5, "reward_std": 0.0, "rewards/accuracy_reward": 0.5, "rewards/format_reward": 1.0, "step": 64 }, { "completion_length": 63.12500190734863, "epoch": 0.1625, "grad_norm": 5.6487717317467725, "kl": 0.0587158203125, "learning_rate": 9.187499999999999e-07, "loss": 0.0024, "reward": 1.6666666865348816, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.6666666865348816, "rewards/format_reward": 1.0, "step": 65 }, { "completion_length": 59.875, "epoch": 0.165, "grad_norm": 11.66756846162878, "kl": 0.069091796875, "learning_rate": 9.174999999999999e-07, "loss": 0.0028, "reward": 1.5000000596046448, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.5000000298023224, "rewards/format_reward": 1.0, "step": 66 }, { "completion_length": 73.125, "epoch": 0.1675, "grad_norm": 9.079921508300968, "kl": 0.0567626953125, "learning_rate": 9.1625e-07, "loss": 0.0023, "reward": 1.5625, "reward_std": 0.2249610871076584, "rewards/accuracy_reward": 0.5625, "rewards/format_reward": 1.0, "step": 67 }, { "completion_length": 57.41666793823242, "epoch": 0.17, "grad_norm": 4.604079232678911, "kl": 0.06005859375, "learning_rate": 9.15e-07, "loss": 0.0024, "reward": 1.875, "reward_std": 0.1369306445121765, "rewards/accuracy_reward": 0.875, "rewards/format_reward": 1.0, "step": 68 }, { "completion_length": 68.70833587646484, "epoch": 0.1725, "grad_norm": 24.43050848592979, "kl": 0.0577392578125, "learning_rate": 9.137499999999999e-07, "loss": 0.0023, "reward": 1.3750000596046448, "reward_std": 0.48936043679714203, "rewards/accuracy_reward": 0.416666679084301, "rewards/format_reward": 0.9583333432674408, "step": 69 }, { "completion_length": 68.25000381469727, "epoch": 0.175, "grad_norm": 7.065846830514221, "kl": 0.0543212890625, "learning_rate": 9.124999999999999e-07, "loss": 0.0022, "reward": 1.7083333730697632, "reward_std": 0.37592338025569916, "rewards/accuracy_reward": 0.7083333432674408, "rewards/format_reward": 1.0, "step": 70 }, { "completion_length": 51.79166793823242, "epoch": 0.1775, "grad_norm": 7.912103229675263, "kl": 0.072021484375, "learning_rate": 9.1125e-07, "loss": 0.0029, "reward": 1.8333333730697632, "reward_std": 0.23899273574352264, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 1.0, "step": 71 }, { "completion_length": 67.08333396911621, "epoch": 0.18, "grad_norm": 7.4195867306219725, "kl": 0.07373046875, "learning_rate": 9.1e-07, "loss": 0.0029, "reward": 1.4583333730697632, "reward_std": 0.4481577202677727, "rewards/accuracy_reward": 0.5833333432674408, "rewards/format_reward": 0.8750000298023224, "step": 72 }, { "completion_length": 60.33333396911621, "epoch": 0.1825, "grad_norm": 4.732110104154176, "kl": 0.0615234375, "learning_rate": 9.087499999999999e-07, "loss": 0.0025, "reward": 1.6666666865348816, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.6666666865348816, "rewards/format_reward": 1.0, "step": 73 }, { "completion_length": 76.83333587646484, "epoch": 0.185, "grad_norm": 15.673564911876664, "kl": 0.077392578125, "learning_rate": 9.074999999999999e-07, "loss": 0.0031, "reward": 1.75, "reward_std": 0.3680921643972397, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 1.0, "step": 74 }, { "completion_length": 60.75000190734863, "epoch": 0.1875, "grad_norm": 11.536043510370401, "kl": 0.05859375, "learning_rate": 9.0625e-07, "loss": 0.0023, "reward": 1.9375000596046448, "reward_std": 0.11558076739311218, "rewards/accuracy_reward": 0.9375000298023224, "rewards/format_reward": 1.0, "step": 75 }, { "completion_length": 68.25000190734863, "epoch": 0.19, "grad_norm": 0.5206115311671419, "kl": 0.070556640625, "learning_rate": 9.05e-07, "loss": 0.0028, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 76 }, { "completion_length": 70.95833587646484, "epoch": 0.1925, "grad_norm": 9.429791436668038, "kl": 0.0654296875, "learning_rate": 9.0375e-07, "loss": 0.0026, "reward": 1.7916667461395264, "reward_std": 0.23116152733564377, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 1.0, "step": 77 }, { "completion_length": 65.75000190734863, "epoch": 0.195, "grad_norm": 6.729037338982755, "kl": 0.060546875, "learning_rate": 9.024999999999999e-07, "loss": 0.0024, "reward": 1.7916666865348816, "reward_std": 0.26603010296821594, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 1.0, "step": 78 }, { "completion_length": 64.41666984558105, "epoch": 0.1975, "grad_norm": 9.457055927403056, "kl": 0.056640625, "learning_rate": 9.0125e-07, "loss": 0.0023, "reward": 1.7708333730697632, "reward_std": 0.5128307789564133, "rewards/accuracy_reward": 0.8958333432674408, "rewards/format_reward": 0.8750000298023224, "step": 79 }, { "completion_length": 60.833335876464844, "epoch": 0.2, "grad_norm": 10.88321497488877, "kl": 0.06396484375, "learning_rate": 9e-07, "loss": 0.0026, "reward": 1.8333333730697632, "reward_std": 0.23899271339178085, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 1.0, "step": 80 }, { "completion_length": 74.00000381469727, "epoch": 0.2025, "grad_norm": 9.14141506172264, "kl": 0.052978515625, "learning_rate": 8.9875e-07, "loss": 0.0021, "reward": 1.7500000596046448, "reward_std": 0.3680921494960785, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 0.9166666865348816, "step": 81 }, { "completion_length": 63.541669845581055, "epoch": 0.205, "grad_norm": 8.58175119212839, "kl": 0.0615234375, "learning_rate": 8.974999999999999e-07, "loss": 0.0025, "reward": 1.8333333730697632, "reward_std": 0.23899272084236145, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 1.0, "step": 82 }, { "completion_length": 56.62500190734863, "epoch": 0.2075, "grad_norm": 4.683616930700102, "kl": 0.077392578125, "learning_rate": 8.9625e-07, "loss": 0.0031, "reward": 1.7916666865348816, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 1.0, "step": 83 }, { "completion_length": 77.50000381469727, "epoch": 0.21, "grad_norm": 19.854891318758874, "kl": 0.07177734375, "learning_rate": 8.95e-07, "loss": 0.0029, "reward": 1.4583333730697632, "reward_std": 0.5203921049833298, "rewards/accuracy_reward": 0.5416666716337204, "rewards/format_reward": 0.9166666865348816, "step": 84 }, { "completion_length": 65.04166984558105, "epoch": 0.2125, "grad_norm": 6.598335432224304, "kl": 0.050048828125, "learning_rate": 8.9375e-07, "loss": 0.002, "reward": 1.9583333730697632, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 85 }, { "completion_length": 60.416669845581055, "epoch": 0.215, "grad_norm": 8.543498204974801, "kl": 0.097412109375, "learning_rate": 8.924999999999999e-07, "loss": 0.0039, "reward": 1.7500000596046448, "reward_std": 0.20412414520978928, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 0.9583333432674408, "step": 86 }, { "completion_length": 78.16667175292969, "epoch": 0.2175, "grad_norm": 4.966080621186072, "kl": 0.061279296875, "learning_rate": 8.912499999999999e-07, "loss": 0.0024, "reward": 1.625, "reward_std": 0.3061861991882324, "rewards/accuracy_reward": 0.7083333432674408, "rewards/format_reward": 0.9166666865348816, "step": 87 }, { "completion_length": 63.33333396911621, "epoch": 0.22, "grad_norm": 8.582726087717052, "kl": 0.0543212890625, "learning_rate": 8.9e-07, "loss": 0.0022, "reward": 1.8333333730697632, "reward_std": 0.23899271339178085, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 1.0, "step": 88 }, { "completion_length": 78.75000381469727, "epoch": 0.2225, "grad_norm": 23.545799089019614, "kl": 0.0528564453125, "learning_rate": 8.8875e-07, "loss": 0.0021, "reward": 1.3750000596046448, "reward_std": 0.42718585580587387, "rewards/accuracy_reward": 0.4166666865348816, "rewards/format_reward": 0.9583333432674408, "step": 89 }, { "completion_length": 68.29166793823242, "epoch": 0.225, "grad_norm": 0.47046993267117027, "kl": 0.052490234375, "learning_rate": 8.874999999999999e-07, "loss": 0.0021, "reward": 1.5, "reward_std": 0.0, "rewards/accuracy_reward": 0.5, "rewards/format_reward": 1.0, "step": 90 }, { "completion_length": 70.00000381469727, "epoch": 0.2275, "grad_norm": 6.2355460311295685, "kl": 0.05224609375, "learning_rate": 8.8625e-07, "loss": 0.0021, "reward": 1.7916667461395264, "reward_std": 0.23116153478622437, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 1.0, "step": 91 }, { "completion_length": 68.95833587646484, "epoch": 0.23, "grad_norm": 4.0370719278724545, "kl": 0.0537109375, "learning_rate": 8.85e-07, "loss": 0.0021, "reward": 1.875, "reward_std": 0.1369306445121765, "rewards/accuracy_reward": 0.875, "rewards/format_reward": 1.0, "step": 92 }, { "completion_length": 73.66666793823242, "epoch": 0.2325, "grad_norm": 7.618350439185457, "kl": 0.060302734375, "learning_rate": 8.8375e-07, "loss": 0.0024, "reward": 1.7083333730697632, "reward_std": 0.43528565764427185, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 0.9166666865348816, "step": 93 }, { "completion_length": 83.29166793823242, "epoch": 0.235, "grad_norm": 7.33749565606432, "kl": 0.0596923828125, "learning_rate": 8.824999999999999e-07, "loss": 0.0024, "reward": 1.5833333730697632, "reward_std": 0.4431168735027313, "rewards/accuracy_reward": 0.6250000149011612, "rewards/format_reward": 0.9583333432674408, "step": 94 }, { "completion_length": 75.875, "epoch": 0.2375, "grad_norm": 4.8133899271670435, "kl": 0.063720703125, "learning_rate": 8.812499999999999e-07, "loss": 0.0026, "reward": 1.9166666865348816, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.9166666865348816, "rewards/format_reward": 1.0, "step": 95 }, { "completion_length": 62.66666793823242, "epoch": 0.24, "grad_norm": 8.492203007126976, "kl": 0.056640625, "learning_rate": 8.799999999999999e-07, "loss": 0.0023, "reward": 1.7500000596046448, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.7500000298023224, "rewards/format_reward": 1.0, "step": 96 }, { "completion_length": 72.41667175292969, "epoch": 0.2425, "grad_norm": 13.606138214943282, "kl": 0.06298828125, "learning_rate": 8.7875e-07, "loss": 0.0025, "reward": 1.7083333730697632, "reward_std": 0.26603007316589355, "rewards/accuracy_reward": 0.7083333432674408, "rewards/format_reward": 1.0, "step": 97 }, { "completion_length": 69.75, "epoch": 0.245, "grad_norm": 0.5453979042575031, "kl": 0.060546875, "learning_rate": 8.774999999999999e-07, "loss": 0.0024, "reward": 1.75, "reward_std": 0.0, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 1.0, "step": 98 }, { "completion_length": 68.25000381469727, "epoch": 0.2475, "grad_norm": 9.180577120924026, "kl": 0.10546875, "learning_rate": 8.7625e-07, "loss": 0.0042, "reward": 1.6875000596046448, "reward_std": 0.3087066560983658, "rewards/accuracy_reward": 0.7291666865348816, "rewards/format_reward": 0.9583333432674408, "step": 99 }, { "completion_length": 89.54167175292969, "epoch": 0.25, "grad_norm": 5.517684116055758, "kl": 0.065673828125, "learning_rate": 8.75e-07, "loss": 0.0026, "reward": 1.8333333730697632, "reward_std": 0.25819891691207886, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.8333333730697632, "step": 100 }, { "completion_length": 82.00000381469727, "epoch": 0.2525, "grad_norm": 12.707071758177568, "kl": 0.06005859375, "learning_rate": 8.7375e-07, "loss": 0.0024, "reward": 1.6666666865348816, "reward_std": 0.25819891691207886, "rewards/accuracy_reward": 0.6666666716337204, "rewards/format_reward": 1.0, "step": 101 }, { "completion_length": 79.20833587646484, "epoch": 0.255, "grad_norm": 7.511693516580632, "kl": 0.062744140625, "learning_rate": 8.725e-07, "loss": 0.0025, "reward": 1.8333333730697632, "reward_std": 0.31122709065675735, "rewards/accuracy_reward": 0.8750000298023224, "rewards/format_reward": 0.9583333432674408, "step": 102 }, { "completion_length": 73.20833587646484, "epoch": 0.2575, "grad_norm": 8.840679094835005, "kl": 0.0966796875, "learning_rate": 8.712499999999999e-07, "loss": 0.0039, "reward": 1.4166667461395264, "reward_std": 0.3332235887646675, "rewards/accuracy_reward": 0.4583333432674408, "rewards/format_reward": 0.9583333432674408, "step": 103 }, { "completion_length": 77.25000381469727, "epoch": 0.26, "grad_norm": 3.274184002670797, "kl": 0.046630859375, "learning_rate": 8.699999999999999e-07, "loss": 0.0019, "reward": 1.625, "reward_std": 0.1369306445121765, "rewards/accuracy_reward": 0.625, "rewards/format_reward": 1.0, "step": 104 }, { "completion_length": 76.79166793823242, "epoch": 0.2625, "grad_norm": 3.9080005650231326, "kl": 0.056884765625, "learning_rate": 8.687499999999999e-07, "loss": 0.0023, "reward": 1.9166666865348816, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9583333432674408, "step": 105 }, { "completion_length": 75.75000381469727, "epoch": 0.265, "grad_norm": 4.484978903474679, "kl": 0.0535888671875, "learning_rate": 8.675000000000001e-07, "loss": 0.0021, "reward": 1.9166666865348816, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.9166666865348816, "rewards/format_reward": 1.0, "step": 106 }, { "completion_length": 80.58333587646484, "epoch": 0.2675, "grad_norm": 4.072450072560431, "kl": 0.0406494140625, "learning_rate": 8.6625e-07, "loss": 0.0016, "reward": 1.875, "reward_std": 0.3061861991882324, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9166666865348816, "step": 107 }, { "completion_length": 69.58333587646484, "epoch": 0.27, "grad_norm": 3.9109965229285257, "kl": 0.0396728515625, "learning_rate": 8.65e-07, "loss": 0.0016, "reward": 1.9166666865348816, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9583333432674408, "step": 108 }, { "completion_length": 76.875, "epoch": 0.2725, "grad_norm": 15.308422489270624, "kl": 0.05322265625, "learning_rate": 8.6375e-07, "loss": 0.0021, "reward": 1.5833333730697632, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.5833333432674408, "rewards/format_reward": 1.0, "step": 109 }, { "completion_length": 62.12500190734863, "epoch": 0.275, "grad_norm": 5.051061764048627, "kl": 0.06494140625, "learning_rate": 8.625e-07, "loss": 0.0026, "reward": 1.8333333730697632, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 1.0, "step": 110 }, { "completion_length": 81.79167175292969, "epoch": 0.2775, "grad_norm": 3.9187181374700106, "kl": 0.0545654296875, "learning_rate": 8.612499999999999e-07, "loss": 0.0022, "reward": 1.5416666865348816, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.5416666679084301, "rewards/format_reward": 1.0, "step": 111 }, { "completion_length": 61.333335876464844, "epoch": 0.28, "grad_norm": 6.496734022552879, "kl": 0.06103515625, "learning_rate": 8.599999999999999e-07, "loss": 0.0024, "reward": 1.7083333730697632, "reward_std": 0.3061862587928772, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 0.9583333432674408, "step": 112 }, { "completion_length": 67.41666984558105, "epoch": 0.2825, "grad_norm": 40.521332963582154, "kl": 0.058349609375, "learning_rate": 8.587499999999999e-07, "loss": 0.0023, "reward": 1.9166666865348816, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.9166666865348816, "rewards/format_reward": 1.0, "step": 113 }, { "completion_length": 64.70833587646484, "epoch": 0.285, "grad_norm": 13.390181016483035, "kl": 0.078125, "learning_rate": 8.575e-07, "loss": 0.0031, "reward": 1.9166667461395264, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.9166666865348816, "rewards/format_reward": 1.0, "step": 114 }, { "completion_length": 61.708335876464844, "epoch": 0.2875, "grad_norm": 0.2579672215056597, "kl": 0.05859375, "learning_rate": 8.5625e-07, "loss": 0.0023, "reward": 1.75, "reward_std": 0.0, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 1.0, "step": 115 }, { "completion_length": 65.54166984558105, "epoch": 0.29, "grad_norm": 24.693248847842778, "kl": 0.064208984375, "learning_rate": 8.55e-07, "loss": 0.0026, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 116 }, { "completion_length": 59.958335876464844, "epoch": 0.2925, "grad_norm": 4.32030389823459, "kl": 0.076904296875, "learning_rate": 8.5375e-07, "loss": 0.0031, "reward": 1.9166666865348816, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.9166666865348816, "rewards/format_reward": 1.0, "step": 117 }, { "completion_length": 58.16666793823242, "epoch": 0.295, "grad_norm": 7.601593598404612, "kl": 0.20361328125, "learning_rate": 8.525e-07, "loss": 0.0081, "reward": 1.75, "reward_std": 0.0, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 1.0, "step": 118 }, { "completion_length": 57.708335876464844, "epoch": 0.2975, "grad_norm": 5.946498248735497, "kl": 0.066650390625, "learning_rate": 8.512499999999999e-07, "loss": 0.0027, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 119 }, { "completion_length": 61.45833396911621, "epoch": 0.3, "grad_norm": 3.0579917552588554, "kl": 0.131103515625, "learning_rate": 8.499999999999999e-07, "loss": 0.0053, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 120 }, { "completion_length": 56.00000190734863, "epoch": 0.3025, "grad_norm": 1.5124769776550189, "kl": 0.103515625, "learning_rate": 8.487499999999999e-07, "loss": 0.0041, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 121 }, { "completion_length": 56.25000190734863, "epoch": 0.305, "grad_norm": 7.31028449777576, "kl": 0.0908203125, "learning_rate": 8.475e-07, "loss": 0.0036, "reward": 1.7083333730697632, "reward_std": 0.3061862140893936, "rewards/accuracy_reward": 0.7083333432674408, "rewards/format_reward": 1.0, "step": 122 }, { "completion_length": 69.20833396911621, "epoch": 0.3075, "grad_norm": 7.086257081155087, "kl": 0.072998046875, "learning_rate": 8.462499999999999e-07, "loss": 0.0029, "reward": 1.7916666865348816, "reward_std": 0.26603010296821594, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 1.0, "step": 123 }, { "completion_length": 66.58333587646484, "epoch": 0.31, "grad_norm": 4.867315965330029, "kl": 0.048095703125, "learning_rate": 8.45e-07, "loss": 0.0019, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 124 }, { "completion_length": 66.25000190734863, "epoch": 0.3125, "grad_norm": 16.64611686310609, "kl": 0.0623779296875, "learning_rate": 8.4375e-07, "loss": 0.0025, "reward": 1.7291666865348816, "reward_std": 0.25515516847372055, "rewards/accuracy_reward": 0.7291666865348816, "rewards/format_reward": 1.0, "step": 125 }, { "completion_length": 69.91666793823242, "epoch": 0.315, "grad_norm": 4.5944308739615245, "kl": 0.05615234375, "learning_rate": 8.425e-07, "loss": 0.0023, "reward": 1.9166666865348816, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.9166666865348816, "rewards/format_reward": 1.0, "step": 126 }, { "completion_length": 83.25, "epoch": 0.3175, "grad_norm": 3.4492654552916115, "kl": 0.056884765625, "learning_rate": 8.4125e-07, "loss": 0.0023, "reward": 1.8958333730697632, "reward_std": 0.2002602517604828, "rewards/accuracy_reward": 0.9375, "rewards/format_reward": 0.9583333432674408, "step": 127 }, { "completion_length": 84.29166793823242, "epoch": 0.32, "grad_norm": 3.9532152770578914, "kl": 0.0654296875, "learning_rate": 8.399999999999999e-07, "loss": 0.0026, "reward": 1.9166667461395264, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.9166666865348816, "rewards/format_reward": 1.0, "step": 128 }, { "completion_length": 75.58333587646484, "epoch": 0.3225, "grad_norm": 10.437554081102167, "kl": 0.05078125, "learning_rate": 8.387499999999999e-07, "loss": 0.002, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 129 }, { "completion_length": 72.25000381469727, "epoch": 0.325, "grad_norm": 3.6422939374830814, "kl": 0.0484619140625, "learning_rate": 8.375e-07, "loss": 0.0019, "reward": 1.7916666865348816, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 1.0, "step": 130 }, { "completion_length": 77.87500381469727, "epoch": 0.3275, "grad_norm": 0.44791979427142387, "kl": 0.065673828125, "learning_rate": 8.3625e-07, "loss": 0.0026, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 131 }, { "completion_length": 68.66666793823242, "epoch": 0.33, "grad_norm": 5.385790752053767, "kl": 0.0596923828125, "learning_rate": 8.349999999999999e-07, "loss": 0.0024, "reward": 1.9791666865348816, "reward_std": 0.05103103443980217, "rewards/accuracy_reward": 0.9791666865348816, "rewards/format_reward": 1.0, "step": 132 }, { "completion_length": 74.04166793823242, "epoch": 0.3325, "grad_norm": 3.5356298442034095, "kl": 0.0518798828125, "learning_rate": 8.3375e-07, "loss": 0.0021, "reward": 1.625, "reward_std": 0.20916502177715302, "rewards/accuracy_reward": 0.6666666716337204, "rewards/format_reward": 0.9583333432674408, "step": 133 }, { "completion_length": 79.54166793823242, "epoch": 0.335, "grad_norm": 13.519892690256926, "kl": 0.051513671875, "learning_rate": 8.325e-07, "loss": 0.0021, "reward": 1.7083333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.7083333432674408, "rewards/format_reward": 1.0, "step": 134 }, { "completion_length": 90.95833587646484, "epoch": 0.3375, "grad_norm": 8.248631988755827, "kl": 0.0509033203125, "learning_rate": 8.3125e-07, "loss": 0.002, "reward": 1.8333333730697632, "reward_std": 0.25819891691207886, "rewards/accuracy_reward": 0.8333333730697632, "rewards/format_reward": 1.0, "step": 135 }, { "completion_length": 63.208335876464844, "epoch": 0.34, "grad_norm": 0.27092369317618625, "kl": 0.0523681640625, "learning_rate": 8.299999999999999e-07, "loss": 0.0021, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 136 }, { "completion_length": 78.25, "epoch": 0.3425, "grad_norm": 8.134027797348121, "kl": 0.06689453125, "learning_rate": 8.287499999999999e-07, "loss": 0.0027, "reward": 1.7291666865348816, "reward_std": 0.5334838479757309, "rewards/accuracy_reward": 0.8125000298023224, "rewards/format_reward": 0.9166666865348816, "step": 137 }, { "completion_length": 69.75000190734863, "epoch": 0.345, "grad_norm": 11.145798458704071, "kl": 0.0457763671875, "learning_rate": 8.275e-07, "loss": 0.0018, "reward": 1.8750000596046448, "reward_std": 0.23116153478622437, "rewards/accuracy_reward": 0.8750000298023224, "rewards/format_reward": 1.0, "step": 138 }, { "completion_length": 76.375, "epoch": 0.3475, "grad_norm": 4.648506226378103, "kl": 0.068603515625, "learning_rate": 8.2625e-07, "loss": 0.0027, "reward": 1.8333333730697632, "reward_std": 0.31122709810733795, "rewards/accuracy_reward": 0.8750000298023224, "rewards/format_reward": 0.9583333432674408, "step": 139 }, { "completion_length": 72.08333587646484, "epoch": 0.35, "grad_norm": 5.49537540817778, "kl": 0.0550537109375, "learning_rate": 8.249999999999999e-07, "loss": 0.0022, "reward": 1.5833333730697632, "reward_std": 0.25819891691207886, "rewards/accuracy_reward": 0.583333358168602, "rewards/format_reward": 1.0, "step": 140 }, { "completion_length": 74.12500381469727, "epoch": 0.3525, "grad_norm": 3.23463816741491, "kl": 0.0396728515625, "learning_rate": 8.2375e-07, "loss": 0.0016, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9583333432674408, "step": 141 }, { "completion_length": 73.79167175292969, "epoch": 0.355, "grad_norm": 8.949390923947067, "kl": 0.0540771484375, "learning_rate": 8.225e-07, "loss": 0.0022, "reward": 1.8750000596046448, "reward_std": 0.23116152733564377, "rewards/accuracy_reward": 0.8750000298023224, "rewards/format_reward": 1.0, "step": 142 }, { "completion_length": 81.33333587646484, "epoch": 0.3575, "grad_norm": 13.970481624687274, "kl": 0.14892578125, "learning_rate": 8.2125e-07, "loss": 0.0059, "reward": 1.8125000596046448, "reward_std": 0.2682070881128311, "rewards/accuracy_reward": 0.9791666865348816, "rewards/format_reward": 0.8333333432674408, "step": 143 }, { "completion_length": 77.45833587646484, "epoch": 0.36, "grad_norm": 13.619028198353357, "kl": 0.06884765625, "learning_rate": 8.199999999999999e-07, "loss": 0.0028, "reward": 1.8750000596046448, "reward_std": 0.3061862215399742, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9166666865348816, "step": 144 }, { "completion_length": 70.91666793823242, "epoch": 0.3625, "grad_norm": 8.050368007065988, "kl": 0.071533203125, "learning_rate": 8.187499999999999e-07, "loss": 0.0029, "reward": 1.9166666865348816, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9583333432674408, "step": 145 }, { "completion_length": 83.79167175292969, "epoch": 0.365, "grad_norm": 8.301452022148478, "kl": 0.0537109375, "learning_rate": 8.175e-07, "loss": 0.0021, "reward": 1.8125000596046448, "reward_std": 0.3357440382242203, "rewards/accuracy_reward": 0.8541666865348816, "rewards/format_reward": 0.9583333432674408, "step": 146 }, { "completion_length": 89.83333587646484, "epoch": 0.3675, "grad_norm": 5.225379290022837, "kl": 0.0634765625, "learning_rate": 8.1625e-07, "loss": 0.0025, "reward": 1.9166667461395264, "reward_std": 0.20412414520978928, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9166666865348816, "step": 147 }, { "completion_length": 73.91667175292969, "epoch": 0.37, "grad_norm": 0.3862241193439462, "kl": 0.0545654296875, "learning_rate": 8.149999999999999e-07, "loss": 0.0022, "reward": 1.75, "reward_std": 0.0, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 1.0, "step": 148 }, { "completion_length": 75.83333587646484, "epoch": 0.3725, "grad_norm": 0.16866310269978918, "kl": 0.0380859375, "learning_rate": 8.137499999999999e-07, "loss": 0.0015, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 149 }, { "completion_length": 71.54166793823242, "epoch": 0.375, "grad_norm": 0.336328483289417, "kl": 0.04541015625, "learning_rate": 8.125e-07, "loss": 0.0018, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 150 }, { "completion_length": 83.41667175292969, "epoch": 0.3775, "grad_norm": 0.18233740920926422, "kl": 0.043701171875, "learning_rate": 8.1125e-07, "loss": 0.0017, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 151 }, { "completion_length": 74.04166793823242, "epoch": 0.38, "grad_norm": 2.4615804123735074, "kl": 0.0394287109375, "learning_rate": 8.1e-07, "loss": 0.0016, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9583333432674408, "step": 152 }, { "completion_length": 67.83333587646484, "epoch": 0.3825, "grad_norm": 4.506961936813221, "kl": 0.05419921875, "learning_rate": 8.087499999999999e-07, "loss": 0.0022, "reward": 1.9583333730697632, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 153 }, { "completion_length": 75.04166793823242, "epoch": 0.385, "grad_norm": 13.894215119687294, "kl": 0.05029296875, "learning_rate": 8.075e-07, "loss": 0.002, "reward": 1.7916666865348816, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 1.0, "step": 154 }, { "completion_length": 77.91667175292969, "epoch": 0.3875, "grad_norm": 5.786917651350198, "kl": 0.0419921875, "learning_rate": 8.0625e-07, "loss": 0.0017, "reward": 1.7916666865348816, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 0.9583333432674408, "step": 155 }, { "completion_length": 75.54166793823242, "epoch": 0.39, "grad_norm": 10.916507056002851, "kl": 0.044921875, "learning_rate": 8.05e-07, "loss": 0.0018, "reward": 1.7500000596046448, "reward_std": 0.4431168735027313, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 0.9166666865348816, "step": 156 }, { "completion_length": 72.45833587646484, "epoch": 0.3925, "grad_norm": 0.6036085775451172, "kl": 0.052978515625, "learning_rate": 8.037499999999999e-07, "loss": 0.0021, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 157 }, { "completion_length": 69.20833587646484, "epoch": 0.395, "grad_norm": 0.20269296867808964, "kl": 0.0343017578125, "learning_rate": 8.024999999999999e-07, "loss": 0.0014, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 158 }, { "completion_length": 70.91666793823242, "epoch": 0.3975, "grad_norm": 5.002628339877501, "kl": 0.05078125, "learning_rate": 8.0125e-07, "loss": 0.002, "reward": 1.5833333730697632, "reward_std": 0.23899273574352264, "rewards/accuracy_reward": 0.625, "rewards/format_reward": 0.9583333432674408, "step": 159 }, { "completion_length": 83.79166984558105, "epoch": 0.4, "grad_norm": 14.264997208415672, "kl": 0.1083984375, "learning_rate": 8e-07, "loss": 0.0043, "reward": 1.8333333730697632, "reward_std": 0.25819891691207886, "rewards/accuracy_reward": 0.8333333730697632, "rewards/format_reward": 1.0, "step": 160 }, { "completion_length": 80.16667175292969, "epoch": 0.4025, "grad_norm": 3.4840572426344765, "kl": 0.0389404296875, "learning_rate": 7.9875e-07, "loss": 0.0016, "reward": 1.9166666865348816, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.9166666865348816, "rewards/format_reward": 1.0, "step": 161 }, { "completion_length": 80.37500381469727, "epoch": 0.405, "grad_norm": 4.2899724011799245, "kl": 0.0386962890625, "learning_rate": 7.975e-07, "loss": 0.0015, "reward": 1.7083333730697632, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 0.7083333432674408, "rewards/format_reward": 1.0, "step": 162 }, { "completion_length": 72.58333587646484, "epoch": 0.4075, "grad_norm": 6.888283826236383, "kl": 0.05029296875, "learning_rate": 7.9625e-07, "loss": 0.002, "reward": 1.8333333730697632, "reward_std": 0.23899271339178085, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 1.0, "step": 163 }, { "completion_length": 83.87500381469727, "epoch": 0.41, "grad_norm": 10.672136555947715, "kl": 0.053466796875, "learning_rate": 7.95e-07, "loss": 0.0021, "reward": 1.8333333730697632, "reward_std": 0.3332235962152481, "rewards/accuracy_reward": 0.9166666865348816, "rewards/format_reward": 0.9166666865348816, "step": 164 }, { "completion_length": 63.833335876464844, "epoch": 0.4125, "grad_norm": 0.5939326240650639, "kl": 0.0518798828125, "learning_rate": 7.937499999999999e-07, "loss": 0.0021, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 165 }, { "completion_length": 84.45833587646484, "epoch": 0.415, "grad_norm": 6.343742530614501, "kl": 0.0601806640625, "learning_rate": 7.924999999999999e-07, "loss": 0.0024, "reward": 1.7500000596046448, "reward_std": 0.3872983753681183, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 0.9583333432674408, "step": 166 }, { "completion_length": 74.16666984558105, "epoch": 0.4175, "grad_norm": 0.5061062272176906, "kl": 0.06103515625, "learning_rate": 7.912499999999999e-07, "loss": 0.0025, "reward": 1.75, "reward_std": 0.0, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 1.0, "step": 167 }, { "completion_length": 93.41666793823242, "epoch": 0.42, "grad_norm": 3.3456995801068596, "kl": 0.0562744140625, "learning_rate": 7.9e-07, "loss": 0.0023, "reward": 1.9166666865348816, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.9166666865348816, "rewards/format_reward": 1.0, "step": 168 }, { "completion_length": 68.87500381469727, "epoch": 0.4225, "grad_norm": 3.248130898572834, "kl": 0.0615234375, "learning_rate": 7.8875e-07, "loss": 0.0025, "reward": 1.7083333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.7083333432674408, "rewards/format_reward": 1.0, "step": 169 }, { "completion_length": 73.04167175292969, "epoch": 0.425, "grad_norm": 21.57626593100111, "kl": 0.0567626953125, "learning_rate": 7.875e-07, "loss": 0.0023, "reward": 1.7083333730697632, "reward_std": 0.3061862215399742, "rewards/accuracy_reward": 0.7500000298023224, "rewards/format_reward": 0.9583333432674408, "step": 170 }, { "completion_length": 74.0, "epoch": 0.4275, "grad_norm": 0.8393141771605732, "kl": 0.04345703125, "learning_rate": 7.8625e-07, "loss": 0.0017, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 171 }, { "completion_length": 74.75000381469727, "epoch": 0.43, "grad_norm": 8.933723968345006, "kl": 0.0443115234375, "learning_rate": 7.85e-07, "loss": 0.0018, "reward": 1.7083333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 0.9583333432674408, "step": 172 }, { "completion_length": 78.70833587646484, "epoch": 0.4325, "grad_norm": 17.572461684097632, "kl": 0.05419921875, "learning_rate": 7.837499999999999e-07, "loss": 0.0022, "reward": 1.875, "reward_std": 0.23116151988506317, "rewards/accuracy_reward": 0.9166666865348816, "rewards/format_reward": 0.9583333432674408, "step": 173 }, { "completion_length": 82.41666793823242, "epoch": 0.435, "grad_norm": 2.572194060503535, "kl": 0.0504150390625, "learning_rate": 7.824999999999999e-07, "loss": 0.002, "reward": 1.9166666865348816, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9166666865348816, "step": 174 }, { "completion_length": 80.75000381469727, "epoch": 0.4375, "grad_norm": 5.220117972645122, "kl": 0.08984375, "learning_rate": 7.812499999999999e-07, "loss": 0.0036, "reward": 1.8333333730697632, "reward_std": 0.23899271339178085, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 1.0, "step": 175 }, { "completion_length": 80.33333587646484, "epoch": 0.44, "grad_norm": 7.129240956071849, "kl": 0.04315185546875, "learning_rate": 7.799999999999999e-07, "loss": 0.0017, "reward": 1.7083333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.7083333432674408, "rewards/format_reward": 1.0, "step": 176 }, { "completion_length": 83.75000381469727, "epoch": 0.4425, "grad_norm": 2.7325871171100524, "kl": 0.076904296875, "learning_rate": 7.787500000000001e-07, "loss": 0.0031, "reward": 1.9166666865348816, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9166666865348816, "step": 177 }, { "completion_length": 78.625, "epoch": 0.445, "grad_norm": 7.552601468940335, "kl": 0.0445556640625, "learning_rate": 7.775e-07, "loss": 0.0018, "reward": 1.5833333730697632, "reward_std": 0.3332235962152481, "rewards/accuracy_reward": 0.625, "rewards/format_reward": 0.9583333432674408, "step": 178 }, { "completion_length": 75.75000381469727, "epoch": 0.4475, "grad_norm": 0.19732564393416355, "kl": 0.044677734375, "learning_rate": 7.7625e-07, "loss": 0.0018, "reward": 1.75, "reward_std": 0.0, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 1.0, "step": 179 }, { "completion_length": 75.83333587646484, "epoch": 0.45, "grad_norm": 5.413407541750669, "kl": 0.0576171875, "learning_rate": 7.75e-07, "loss": 0.0023, "reward": 1.9166666865348816, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.9166666865348816, "rewards/format_reward": 1.0, "step": 180 }, { "completion_length": 78.00000381469727, "epoch": 0.4525, "grad_norm": 5.254043089084881, "kl": 0.04833984375, "learning_rate": 7.7375e-07, "loss": 0.0019, "reward": 1.9166666865348816, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9583333432674408, "step": 181 }, { "completion_length": 85.29166793823242, "epoch": 0.455, "grad_norm": 12.874216139003746, "kl": 0.054931640625, "learning_rate": 7.724999999999999e-07, "loss": 0.0022, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 182 }, { "completion_length": 61.83333396911621, "epoch": 0.4575, "grad_norm": 22.282393167218782, "kl": 0.05322265625, "learning_rate": 7.712499999999999e-07, "loss": 0.0021, "reward": 1.9583333730697632, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 183 }, { "completion_length": 75.58333587646484, "epoch": 0.46, "grad_norm": 72.84277045431853, "kl": 0.1082763671875, "learning_rate": 7.699999999999999e-07, "loss": 0.0043, "reward": 1.7083333730697632, "reward_std": 0.43528565764427185, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 0.9166666865348816, "step": 184 }, { "completion_length": 83.50000381469727, "epoch": 0.4625, "grad_norm": 4.987506561476635, "kl": 0.0479736328125, "learning_rate": 7.6875e-07, "loss": 0.0019, "reward": 1.8333333730697632, "reward_std": 0.31122709065675735, "rewards/accuracy_reward": 0.9166666865348816, "rewards/format_reward": 0.9166666865348816, "step": 185 }, { "completion_length": 69.91666793823242, "epoch": 0.465, "grad_norm": 0.3185214597818445, "kl": 0.05712890625, "learning_rate": 7.675e-07, "loss": 0.0023, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 186 }, { "completion_length": 79.625, "epoch": 0.4675, "grad_norm": 3.2685263168504877, "kl": 0.0455322265625, "learning_rate": 7.6625e-07, "loss": 0.0018, "reward": 1.9583333730697632, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 187 }, { "completion_length": 75.00000381469727, "epoch": 0.47, "grad_norm": 8.325018779424052, "kl": 0.051513671875, "learning_rate": 7.65e-07, "loss": 0.0021, "reward": 1.5833333730697632, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.5833333358168602, "rewards/format_reward": 1.0, "step": 188 }, { "completion_length": 76.54166793823242, "epoch": 0.4725, "grad_norm": 0.3920675734655507, "kl": 0.0504150390625, "learning_rate": 7.6375e-07, "loss": 0.002, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 189 }, { "completion_length": 84.91666793823242, "epoch": 0.475, "grad_norm": 8.99147320074875, "kl": 0.0390625, "learning_rate": 7.624999999999999e-07, "loss": 0.0016, "reward": 1.8958333730697632, "reward_std": 0.20664457976818085, "rewards/accuracy_reward": 0.8958333432674408, "rewards/format_reward": 1.0, "step": 190 }, { "completion_length": 95.83333587646484, "epoch": 0.4775, "grad_norm": 69.97651402716114, "kl": 0.072998046875, "learning_rate": 7.612499999999999e-07, "loss": 0.0029, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 191 }, { "completion_length": 76.79166793823242, "epoch": 0.48, "grad_norm": 3.2673606951083007, "kl": 0.0509033203125, "learning_rate": 7.599999999999999e-07, "loss": 0.002, "reward": 1.9791666865348816, "reward_std": 0.05103103816509247, "rewards/accuracy_reward": 0.9791666865348816, "rewards/format_reward": 1.0, "step": 192 }, { "completion_length": 71.54166793823242, "epoch": 0.4825, "grad_norm": 6.555166981922478, "kl": 0.043701171875, "learning_rate": 7.5875e-07, "loss": 0.0018, "reward": 1.75, "reward_std": 0.3332235813140869, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 0.9583333432674408, "step": 193 }, { "completion_length": 74.79166793823242, "epoch": 0.485, "grad_norm": 88.79934942718205, "kl": 0.0692138671875, "learning_rate": 7.575e-07, "loss": 0.0028, "reward": 1.8333333730697632, "reward_std": 0.23899271339178085, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 1.0, "step": 194 }, { "completion_length": 80.37500381469727, "epoch": 0.4875, "grad_norm": 3.537706923150665, "kl": 0.052734375, "learning_rate": 7.5625e-07, "loss": 0.0021, "reward": 1.9583333730697632, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 195 }, { "completion_length": 103.33333587646484, "epoch": 0.49, "grad_norm": 5.717780246230898, "kl": 0.088134765625, "learning_rate": 7.55e-07, "loss": 0.0035, "reward": 1.6666666865348816, "reward_std": 0.3622380346059799, "rewards/accuracy_reward": 0.7500000298023224, "rewards/format_reward": 0.9166666865348816, "step": 196 }, { "completion_length": 78.25000381469727, "epoch": 0.4925, "grad_norm": 0.26404344551615316, "kl": 0.0494384765625, "learning_rate": 7.5375e-07, "loss": 0.002, "reward": 1.75, "reward_std": 0.0, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 1.0, "step": 197 }, { "completion_length": 58.70833396911621, "epoch": 0.495, "grad_norm": 8.884717272881257, "kl": 0.0595703125, "learning_rate": 7.524999999999999e-07, "loss": 0.0024, "reward": 1.5833333730697632, "reward_std": 0.29025524109601974, "rewards/accuracy_reward": 0.6250000298023224, "rewards/format_reward": 0.9583333432674408, "step": 198 }, { "completion_length": 78.91666793823242, "epoch": 0.4975, "grad_norm": 0.1968209030109873, "kl": 0.0447998046875, "learning_rate": 7.512499999999999e-07, "loss": 0.0018, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 199 }, { "completion_length": 75.41666793823242, "epoch": 0.5, "grad_norm": 0.14338764769370782, "kl": 0.0352783203125, "learning_rate": 7.5e-07, "loss": 0.0014, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 200 }, { "completion_length": 71.41666793823242, "epoch": 0.5025, "grad_norm": 2.678875577316952, "kl": 0.066650390625, "learning_rate": 7.4875e-07, "loss": 0.0027, "reward": 1.9166666865348816, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9166666865348816, "step": 201 }, { "completion_length": 63.16666793823242, "epoch": 0.505, "grad_norm": 2.9167153600838405, "kl": 0.04144287109375, "learning_rate": 7.475e-07, "loss": 0.0017, "reward": 1.9166666865348816, "reward_std": 0.20412415266036987, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9583333432674408, "step": 202 }, { "completion_length": 70.75, "epoch": 0.5075, "grad_norm": 8.191465178041433, "kl": 0.0460205078125, "learning_rate": 7.4625e-07, "loss": 0.0018, "reward": 1.7916666865348816, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 1.0, "step": 203 }, { "completion_length": 77.75000381469727, "epoch": 0.51, "grad_norm": 0.34559278800136956, "kl": 0.0435791015625, "learning_rate": 7.45e-07, "loss": 0.0017, "reward": 1.75, "reward_std": 0.0, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 1.0, "step": 204 }, { "completion_length": 69.87500190734863, "epoch": 0.5125, "grad_norm": 4.670473448875982, "kl": 0.0528564453125, "learning_rate": 7.4375e-07, "loss": 0.0021, "reward": 1.9583333730697632, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9583333432674408, "step": 205 }, { "completion_length": 74.95833587646484, "epoch": 0.515, "grad_norm": 8.764562343746835, "kl": 0.06884765625, "learning_rate": 7.425e-07, "loss": 0.0028, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9583333432674408, "step": 206 }, { "completion_length": 71.875, "epoch": 0.5175, "grad_norm": 6.055581273594887, "kl": 0.076904296875, "learning_rate": 7.412499999999999e-07, "loss": 0.0031, "reward": 1.5833333730697632, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.6666666716337204, "rewards/format_reward": 0.9166666865348816, "step": 207 }, { "completion_length": 63.125003814697266, "epoch": 0.52, "grad_norm": 8.948612653935108, "kl": 0.07373046875, "learning_rate": 7.4e-07, "loss": 0.0029, "reward": 1.8750000596046448, "reward_std": 0.306186206638813, "rewards/accuracy_reward": 0.9166666865348816, "rewards/format_reward": 0.9583333432674408, "step": 208 }, { "completion_length": 62.45833396911621, "epoch": 0.5225, "grad_norm": 5.496964254978537, "kl": 0.043701171875, "learning_rate": 7.3875e-07, "loss": 0.0017, "reward": 1.7916667461395264, "reward_std": 0.23116153478622437, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 1.0, "step": 209 }, { "completion_length": 60.16666793823242, "epoch": 0.525, "grad_norm": 2.802340467430377, "kl": 0.0654296875, "learning_rate": 7.375e-07, "loss": 0.0026, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 210 }, { "completion_length": 68.08333587646484, "epoch": 0.5275, "grad_norm": 0.3889704730731261, "kl": 0.0616455078125, "learning_rate": 7.362499999999999e-07, "loss": 0.0025, "reward": 1.75, "reward_std": 0.0, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 1.0, "step": 211 }, { "completion_length": 78.04167175292969, "epoch": 0.53, "grad_norm": 5.437383846615231, "kl": 0.0552978515625, "learning_rate": 7.35e-07, "loss": 0.0022, "reward": 1.75, "reward_std": 0.22360679507255554, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 0.9166666865348816, "step": 212 }, { "completion_length": 62.041669845581055, "epoch": 0.5325, "grad_norm": 0.29430882644776396, "kl": 0.053466796875, "learning_rate": 7.3375e-07, "loss": 0.0021, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 213 }, { "completion_length": 72.95833396911621, "epoch": 0.535, "grad_norm": 0.2340500925907288, "kl": 0.053466796875, "learning_rate": 7.325e-07, "loss": 0.0021, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 214 }, { "completion_length": 76.125, "epoch": 0.5375, "grad_norm": 5.190113249057551, "kl": 0.046875, "learning_rate": 7.312499999999999e-07, "loss": 0.0019, "reward": 1.9583333730697632, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 215 }, { "completion_length": 91.58333587646484, "epoch": 0.54, "grad_norm": 3.904416501586602, "kl": 0.036376953125, "learning_rate": 7.3e-07, "loss": 0.0015, "reward": 1.8333333730697632, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.875, "rewards/format_reward": 0.9583333432674408, "step": 216 }, { "completion_length": 79.25000381469727, "epoch": 0.5425, "grad_norm": 0.20631593608442583, "kl": 0.0389404296875, "learning_rate": 7.2875e-07, "loss": 0.0016, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 217 }, { "completion_length": 72.25, "epoch": 0.545, "grad_norm": 4.8107379341458465, "kl": 0.042724609375, "learning_rate": 7.275e-07, "loss": 0.0017, "reward": 1.7916667461395264, "reward_std": 0.23116152733564377, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 0.9583333432674408, "step": 218 }, { "completion_length": 84.95833587646484, "epoch": 0.5475, "grad_norm": 3.1614660219253885, "kl": 0.041015625, "learning_rate": 7.262499999999999e-07, "loss": 0.0016, "reward": 1.9791666865348816, "reward_std": 0.05103103443980217, "rewards/accuracy_reward": 0.9791666865348816, "rewards/format_reward": 1.0, "step": 219 }, { "completion_length": 77.41666793823242, "epoch": 0.55, "grad_norm": 15.034209953389713, "kl": 0.045166015625, "learning_rate": 7.249999999999999e-07, "loss": 0.0018, "reward": 1.8333333730697632, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 1.0, "step": 220 }, { "completion_length": 76.87500381469727, "epoch": 0.5525, "grad_norm": 4.1373132955961545, "kl": 0.1297607421875, "learning_rate": 7.2375e-07, "loss": 0.0052, "reward": 1.9166666865348816, "reward_std": 0.20412415266036987, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9583333432674408, "step": 221 }, { "completion_length": 83.33333587646484, "epoch": 0.555, "grad_norm": 6.0890022474681, "kl": 0.0511474609375, "learning_rate": 7.225e-07, "loss": 0.002, "reward": 1.8958333730697632, "reward_std": 0.20664458721876144, "rewards/accuracy_reward": 0.9375000298023224, "rewards/format_reward": 0.9583333432674408, "step": 222 }, { "completion_length": 96.33333587646484, "epoch": 0.5575, "grad_norm": 6.051302437198327, "kl": 0.0531005859375, "learning_rate": 7.212499999999999e-07, "loss": 0.0021, "reward": 1.875, "reward_std": 0.1369306445121765, "rewards/accuracy_reward": 0.875, "rewards/format_reward": 1.0, "step": 223 }, { "completion_length": 82.66667175292969, "epoch": 0.56, "grad_norm": 2.83249582786607, "kl": 0.0518798828125, "learning_rate": 7.2e-07, "loss": 0.0021, "reward": 1.9583333730697632, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 224 }, { "completion_length": 78.29166793823242, "epoch": 0.5625, "grad_norm": 4.662406270036471, "kl": 0.051025390625, "learning_rate": 7.1875e-07, "loss": 0.002, "reward": 1.75, "reward_std": 0.15811388194561005, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 0.9583333432674408, "step": 225 }, { "completion_length": 100.0, "epoch": 0.565, "grad_norm": 3.1936222808478574, "kl": 0.1239013671875, "learning_rate": 7.175e-07, "loss": 0.005, "reward": 1.9166666865348816, "reward_std": 0.20412415266036987, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9583333432674408, "step": 226 }, { "completion_length": 95.83333587646484, "epoch": 0.5675, "grad_norm": 3.9506167101538026, "kl": 0.03521728515625, "learning_rate": 7.1625e-07, "loss": 0.0014, "reward": 1.8333333730697632, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 1.0, "step": 227 }, { "completion_length": 73.33333587646484, "epoch": 0.57, "grad_norm": 3.123680615411211, "kl": 0.0498046875, "learning_rate": 7.149999999999999e-07, "loss": 0.002, "reward": 1.6666666865348816, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.6666666865348816, "rewards/format_reward": 1.0, "step": 228 }, { "completion_length": 94.54167175292969, "epoch": 0.5725, "grad_norm": 6.3149431746393345, "kl": 0.049560546875, "learning_rate": 7.137499999999999e-07, "loss": 0.002, "reward": 1.7083333730697632, "reward_std": 0.2601759433746338, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 0.9166666865348816, "step": 229 }, { "completion_length": 78.95833587646484, "epoch": 0.575, "grad_norm": 5.342916500056161, "kl": 0.0555419921875, "learning_rate": 7.125e-07, "loss": 0.0022, "reward": 1.8333333730697632, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 1.0, "step": 230 }, { "completion_length": 77.04166793823242, "epoch": 0.5775, "grad_norm": 5.455421780647997, "kl": 0.044677734375, "learning_rate": 7.1125e-07, "loss": 0.0018, "reward": 1.6666667461395264, "reward_std": 0.25819891691207886, "rewards/accuracy_reward": 0.6666666865348816, "rewards/format_reward": 1.0, "step": 231 }, { "completion_length": 97.16666793823242, "epoch": 0.58, "grad_norm": 5.258370348056576, "kl": 0.057861328125, "learning_rate": 7.1e-07, "loss": 0.0023, "reward": 1.9166667461395264, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9583333432674408, "step": 232 }, { "completion_length": 66.75000381469727, "epoch": 0.5825, "grad_norm": 7.272895732537956, "kl": 0.061767578125, "learning_rate": 7.0875e-07, "loss": 0.0025, "reward": 1.8750000596046448, "reward_std": 0.3061862215399742, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9166666865348816, "step": 233 }, { "completion_length": 89.83333587646484, "epoch": 0.585, "grad_norm": 9.942526724808292, "kl": 0.05224609375, "learning_rate": 7.075e-07, "loss": 0.0021, "reward": 1.7291667461395264, "reward_std": 0.5663822889328003, "rewards/accuracy_reward": 0.8958333730697632, "rewards/format_reward": 0.8333333730697632, "step": 234 }, { "completion_length": 82.04166793823242, "epoch": 0.5875, "grad_norm": 7.132091789592793, "kl": 0.0484619140625, "learning_rate": 7.0625e-07, "loss": 0.0019, "reward": 1.7083333730697632, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 0.9583333432674408, "step": 235 }, { "completion_length": 84.66666793823242, "epoch": 0.59, "grad_norm": 4.743784716908782, "kl": 0.043212890625, "learning_rate": 7.049999999999999e-07, "loss": 0.0017, "reward": 1.8333333730697632, "reward_std": 0.3332235962152481, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.8750000298023224, "step": 236 }, { "completion_length": 91.54167175292969, "epoch": 0.5925, "grad_norm": 4.935952755278898, "kl": 0.049072265625, "learning_rate": 7.037499999999999e-07, "loss": 0.002, "reward": 1.875, "reward_std": 0.23116151988506317, "rewards/accuracy_reward": 0.9166666865348816, "rewards/format_reward": 0.9583333432674408, "step": 237 }, { "completion_length": 73.50000381469727, "epoch": 0.595, "grad_norm": 0.3195324306878552, "kl": 0.0552978515625, "learning_rate": 7.024999999999999e-07, "loss": 0.0022, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 238 }, { "completion_length": 75.54166793823242, "epoch": 0.5975, "grad_norm": 0.2519214939758411, "kl": 0.0498046875, "learning_rate": 7.0125e-07, "loss": 0.002, "reward": 1.75, "reward_std": 0.0, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 1.0, "step": 239 }, { "completion_length": 71.70833587646484, "epoch": 0.6, "grad_norm": 8.86356803041963, "kl": 0.054931640625, "learning_rate": 7e-07, "loss": 0.0022, "reward": 1.8333333730697632, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 1.0, "step": 240 }, { "completion_length": 65.0, "epoch": 0.6025, "grad_norm": 3.813454727671433, "kl": 0.0618896484375, "learning_rate": 6.9875e-07, "loss": 0.0025, "reward": 1.875, "reward_std": 0.1369306445121765, "rewards/accuracy_reward": 0.875, "rewards/format_reward": 1.0, "step": 241 }, { "completion_length": 63.45833396911621, "epoch": 0.605, "grad_norm": 9.339337313546885, "kl": 0.054931640625, "learning_rate": 6.975e-07, "loss": 0.0022, "reward": 1.8333333730697632, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 1.0, "step": 242 }, { "completion_length": 84.20833587646484, "epoch": 0.6075, "grad_norm": 6.81096039877308, "kl": 0.06591796875, "learning_rate": 6.9625e-07, "loss": 0.0026, "reward": 1.7916667461395264, "reward_std": 0.43528565019369125, "rewards/accuracy_reward": 0.9166666865348816, "rewards/format_reward": 0.8750000298023224, "step": 243 }, { "completion_length": 65.20833587646484, "epoch": 0.61, "grad_norm": 6.783355140115774, "kl": 0.060791015625, "learning_rate": 6.949999999999999e-07, "loss": 0.0024, "reward": 1.8333333730697632, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 1.0, "step": 244 }, { "completion_length": 73.04166793823242, "epoch": 0.6125, "grad_norm": 5.741815475332929, "kl": 0.1298828125, "learning_rate": 6.937499999999999e-07, "loss": 0.0052, "reward": 1.9166666865348816, "reward_std": 0.20412415266036987, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9166666865348816, "step": 245 }, { "completion_length": 89.54166793823242, "epoch": 0.615, "grad_norm": 4.665578526736793, "kl": 0.06298828125, "learning_rate": 6.924999999999999e-07, "loss": 0.0025, "reward": 1.9375, "reward_std": 0.1530930995941162, "rewards/accuracy_reward": 0.9375, "rewards/format_reward": 1.0, "step": 246 }, { "completion_length": 78.08333587646484, "epoch": 0.6175, "grad_norm": 4.511986133714191, "kl": 0.13525390625, "learning_rate": 6.9125e-07, "loss": 0.0054, "reward": 1.9166666865348816, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9166666865348816, "step": 247 }, { "completion_length": 86.00000381469727, "epoch": 0.62, "grad_norm": 20.96488879364711, "kl": 0.087890625, "learning_rate": 6.9e-07, "loss": 0.0035, "reward": 1.6666666865348816, "reward_std": 0.4943794012069702, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 0.8333333730697632, "step": 248 }, { "completion_length": 90.20833587646484, "epoch": 0.6225, "grad_norm": 2.77922410156699, "kl": 0.048095703125, "learning_rate": 6.8875e-07, "loss": 0.0019, "reward": 1.75, "reward_std": 0.15811388194561005, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 0.9583333432674408, "step": 249 }, { "completion_length": 100.58333587646484, "epoch": 0.625, "grad_norm": 2.817284456850442, "kl": 0.072021484375, "learning_rate": 6.875e-07, "loss": 0.0029, "reward": 1.9166666865348816, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9583333432674408, "step": 250 }, { "completion_length": 62.791669845581055, "epoch": 0.6275, "grad_norm": 17.030079043631407, "kl": 0.40380859375, "learning_rate": 6.8625e-07, "loss": 0.0161, "reward": 1.8333333730697632, "reward_std": 0.40824826806783676, "rewards/accuracy_reward": 0.8750000298023224, "rewards/format_reward": 0.9583333432674408, "step": 251 }, { "completion_length": 82.37500381469727, "epoch": 0.63, "grad_norm": 0.21518633979859408, "kl": 0.053955078125, "learning_rate": 6.85e-07, "loss": 0.0022, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 252 }, { "completion_length": 70.20833396911621, "epoch": 0.6325, "grad_norm": 5.134130102315088, "kl": 0.0743408203125, "learning_rate": 6.837499999999999e-07, "loss": 0.003, "reward": 1.9166667461395264, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9166666865348816, "step": 253 }, { "completion_length": 65.83333587646484, "epoch": 0.635, "grad_norm": 0.20873842927370562, "kl": 0.0518798828125, "learning_rate": 6.824999999999999e-07, "loss": 0.0021, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 254 }, { "completion_length": 93.41666793823242, "epoch": 0.6375, "grad_norm": 6.749135582171699, "kl": 0.04541015625, "learning_rate": 6.8125e-07, "loss": 0.0018, "reward": 1.7916666865348816, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 1.0, "step": 255 }, { "completion_length": 85.16666793823242, "epoch": 0.64, "grad_norm": 2.1300871235777383, "kl": 0.0584716796875, "learning_rate": 6.800000000000001e-07, "loss": 0.0023, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 256 }, { "completion_length": 79.62500381469727, "epoch": 0.6425, "grad_norm": 10.324275974811723, "kl": 0.060546875, "learning_rate": 6.7875e-07, "loss": 0.0024, "reward": 1.9166667461395264, "reward_std": 0.20412414520978928, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9166666865348816, "step": 257 }, { "completion_length": 92.54166793823242, "epoch": 0.645, "grad_norm": 1.8564813514423362, "kl": 0.0521240234375, "learning_rate": 6.775e-07, "loss": 0.0021, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9583333432674408, "step": 258 }, { "completion_length": 79.5, "epoch": 0.6475, "grad_norm": 5.487610324008745, "kl": 0.06298828125, "learning_rate": 6.7625e-07, "loss": 0.0025, "reward": 1.9166666865348816, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.9166666865348816, "rewards/format_reward": 1.0, "step": 259 }, { "completion_length": 90.79166793823242, "epoch": 0.65, "grad_norm": 4.315055069139165, "kl": 0.061767578125, "learning_rate": 6.75e-07, "loss": 0.0025, "reward": 1.7083333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 0.9583333432674408, "step": 260 }, { "completion_length": 99.12500381469727, "epoch": 0.6525, "grad_norm": 3.429932230965528, "kl": 0.0589599609375, "learning_rate": 6.737499999999999e-07, "loss": 0.0024, "reward": 1.8333333730697632, "reward_std": 0.23899273574352264, "rewards/accuracy_reward": 0.875, "rewards/format_reward": 0.9583333432674408, "step": 261 }, { "completion_length": 103.58333587646484, "epoch": 0.655, "grad_norm": 6.967938391967251, "kl": 0.0594482421875, "learning_rate": 6.724999999999999e-07, "loss": 0.0024, "reward": 1.7500000596046448, "reward_std": 0.515351228415966, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 0.9166666865348816, "step": 262 }, { "completion_length": 71.70833587646484, "epoch": 0.6575, "grad_norm": 1.8714191151976278, "kl": 0.0615234375, "learning_rate": 6.7125e-07, "loss": 0.0025, "reward": 1.9166666865348816, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9583333432674408, "step": 263 }, { "completion_length": 70.20833587646484, "epoch": 0.66, "grad_norm": 5.8396222255495775, "kl": 0.0709228515625, "learning_rate": 6.7e-07, "loss": 0.0028, "reward": 1.8750000596046448, "reward_std": 0.3061862140893936, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9166666865348816, "step": 264 }, { "completion_length": 102.41666793823242, "epoch": 0.6625, "grad_norm": 5.33364534247676, "kl": 0.060791015625, "learning_rate": 6.6875e-07, "loss": 0.0024, "reward": 1.8333333730697632, "reward_std": 0.3332235887646675, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.8750000298023224, "step": 265 }, { "completion_length": 70.16666793823242, "epoch": 0.665, "grad_norm": 3.28533974788896, "kl": 0.07861328125, "learning_rate": 6.675e-07, "loss": 0.0031, "reward": 1.9166667461395264, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9166666865348816, "step": 266 }, { "completion_length": 77.08333587646484, "epoch": 0.6675, "grad_norm": 3.939626781384261, "kl": 0.06298828125, "learning_rate": 6.6625e-07, "loss": 0.0025, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9583333432674408, "step": 267 }, { "completion_length": 77.79167175292969, "epoch": 0.67, "grad_norm": 4.81275939334038, "kl": 0.08203125, "learning_rate": 6.65e-07, "loss": 0.0033, "reward": 1.9583333730697632, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9583333432674408, "step": 268 }, { "completion_length": 84.91666793823242, "epoch": 0.6725, "grad_norm": 2.1249954195251233, "kl": 0.0745849609375, "learning_rate": 6.637499999999999e-07, "loss": 0.003, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9583333432674408, "step": 269 }, { "completion_length": 84.08333587646484, "epoch": 0.675, "grad_norm": 5.3477759440562105, "kl": 0.05859375, "learning_rate": 6.624999999999999e-07, "loss": 0.0023, "reward": 1.9166666865348816, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9583333432674408, "step": 270 }, { "completion_length": 68.50000381469727, "epoch": 0.6775, "grad_norm": 0.2047033038704335, "kl": 0.058837890625, "learning_rate": 6.6125e-07, "loss": 0.0023, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 271 }, { "completion_length": 65.41666793823242, "epoch": 0.68, "grad_norm": 5.6259746624836104, "kl": 0.10302734375, "learning_rate": 6.6e-07, "loss": 0.0041, "reward": 1.8333333730697632, "reward_std": 0.3332236111164093, "rewards/accuracy_reward": 0.8750000298023224, "rewards/format_reward": 0.9583333432674408, "step": 272 }, { "completion_length": 62.875003814697266, "epoch": 0.6825, "grad_norm": 0.223192104904964, "kl": 0.054443359375, "learning_rate": 6.587499999999999e-07, "loss": 0.0022, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 273 }, { "completion_length": 72.625, "epoch": 0.685, "grad_norm": 5.697380639686242, "kl": 0.118408203125, "learning_rate": 6.575e-07, "loss": 0.0047, "reward": 1.9166667461395264, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9583333432674408, "step": 274 }, { "completion_length": 65.75000381469727, "epoch": 0.6875, "grad_norm": 4.3740083420763645, "kl": 0.063720703125, "learning_rate": 6.5625e-07, "loss": 0.0025, "reward": 1.8333333730697632, "reward_std": 0.12909945845603943, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 1.0, "step": 275 }, { "completion_length": 67.5, "epoch": 0.69, "grad_norm": 6.47041338291971, "kl": 0.052490234375, "learning_rate": 6.55e-07, "loss": 0.0021, "reward": 1.8333333730697632, "reward_std": 0.23899273574352264, "rewards/accuracy_reward": 0.8333333432674408, "rewards/format_reward": 1.0, "step": 276 }, { "completion_length": 68.62500381469727, "epoch": 0.6925, "grad_norm": 3.326676452375192, "kl": 0.08056640625, "learning_rate": 6.5375e-07, "loss": 0.0032, "reward": 1.8750000596046448, "reward_std": 0.306186206638813, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9166666865348816, "step": 277 }, { "completion_length": 69.66666793823242, "epoch": 0.695, "grad_norm": 9.572473982368715, "kl": 0.097412109375, "learning_rate": 6.524999999999999e-07, "loss": 0.0039, "reward": 1.7708333730697632, "reward_std": 0.1530931033194065, "rewards/accuracy_reward": 0.7708333730697632, "rewards/format_reward": 1.0, "step": 278 }, { "completion_length": 62.208335876464844, "epoch": 0.6975, "grad_norm": 0.2513839533013271, "kl": 0.0548095703125, "learning_rate": 6.5125e-07, "loss": 0.0022, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 279 }, { "completion_length": 59.79166793823242, "epoch": 0.7, "grad_norm": 0.3018927564996281, "kl": 0.064453125, "learning_rate": 6.5e-07, "loss": 0.0026, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 280 }, { "completion_length": 67.58333587646484, "epoch": 0.7025, "grad_norm": 3.022076491480647, "kl": 0.1083984375, "learning_rate": 6.4875e-07, "loss": 0.0043, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9583333432674408, "step": 281 }, { "completion_length": 70.58333587646484, "epoch": 0.705, "grad_norm": 0.4005563509564593, "kl": 0.060546875, "learning_rate": 6.474999999999999e-07, "loss": 0.0024, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 282 }, { "completion_length": 67.83333587646484, "epoch": 0.7075, "grad_norm": 3.3165615677681215, "kl": 0.0682373046875, "learning_rate": 6.4625e-07, "loss": 0.0027, "reward": 1.9166666865348816, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9583333432674408, "step": 283 }, { "completion_length": 76.5, "epoch": 0.71, "grad_norm": 7.157915025138244, "kl": 0.0810546875, "learning_rate": 6.45e-07, "loss": 0.0032, "reward": 1.6666667461395264, "reward_std": 0.3680921941995621, "rewards/accuracy_reward": 0.7083333432674408, "rewards/format_reward": 0.9583333432674408, "step": 284 }, { "completion_length": 78.95833587646484, "epoch": 0.7125, "grad_norm": 2.4773582650919574, "kl": 0.073974609375, "learning_rate": 6.4375e-07, "loss": 0.003, "reward": 1.7083333730697632, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 0.75, "rewards/format_reward": 0.9583333432674408, "step": 285 }, { "completion_length": 73.29166793823242, "epoch": 0.715, "grad_norm": 3.5419075074377937, "kl": 0.0643310546875, "learning_rate": 6.424999999999999e-07, "loss": 0.0026, "reward": 1.9583333730697632, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 286 }, { "completion_length": 66.29166793823242, "epoch": 0.7175, "grad_norm": 4.248074629554753, "kl": 0.072998046875, "learning_rate": 6.4125e-07, "loss": 0.0029, "reward": 1.9166666865348816, "reward_std": 0.20412415266036987, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9166666865348816, "step": 287 }, { "completion_length": 65.91666984558105, "epoch": 0.72, "grad_norm": 4.09755233598868, "kl": 0.1015625, "learning_rate": 6.4e-07, "loss": 0.004, "reward": 1.9166666865348816, "reward_std": 0.20412415266036987, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9583333432674408, "step": 288 }, { "completion_length": 59.16666793823242, "epoch": 0.7225, "grad_norm": 5.392706724219783, "kl": 0.061279296875, "learning_rate": 6.3875e-07, "loss": 0.0024, "reward": 1.875, "reward_std": 0.1369306445121765, "rewards/accuracy_reward": 0.875, "rewards/format_reward": 1.0, "step": 289 }, { "completion_length": 65.87500190734863, "epoch": 0.725, "grad_norm": 0.6612757501656221, "kl": 0.08935546875, "learning_rate": 6.374999999999999e-07, "loss": 0.0036, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 290 }, { "completion_length": 69.75000381469727, "epoch": 0.7275, "grad_norm": 2.017457988128028, "kl": 0.078369140625, "learning_rate": 6.362499999999999e-07, "loss": 0.0031, "reward": 1.75, "reward_std": 0.15811388194561005, "rewards/accuracy_reward": 0.7916666865348816, "rewards/format_reward": 0.9583333432674408, "step": 291 }, { "completion_length": 87.20833587646484, "epoch": 0.73, "grad_norm": 3.7133430453190055, "kl": 0.063720703125, "learning_rate": 6.35e-07, "loss": 0.0026, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 1.0, "step": 292 }, { "completion_length": 71.875, "epoch": 0.7325, "grad_norm": 0.2544317598109972, "kl": 0.066650390625, "learning_rate": 6.3375e-07, "loss": 0.0027, "reward": 2.0, "reward_std": 0.0, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 1.0, "step": 293 }, { "completion_length": 81.95833587646484, "epoch": 0.735, "grad_norm": 8.180192030414677, "kl": 0.262451171875, "learning_rate": 6.324999999999999e-07, "loss": 0.0105, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9583333432674408, "step": 294 }, { "completion_length": 81.41666793823242, "epoch": 0.7375, "grad_norm": 2.144538696812927, "kl": 0.06494140625, "learning_rate": 6.3125e-07, "loss": 0.0026, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9583333432674408, "step": 295 }, { "completion_length": 93.875, "epoch": 0.74, "grad_norm": 2.7966760839221565, "kl": 0.062255859375, "learning_rate": 6.3e-07, "loss": 0.0025, "reward": 1.9583333730697632, "reward_std": 0.10206207633018494, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9583333432674408, "step": 296 }, { "completion_length": 101.16666793823242, "epoch": 0.7425, "grad_norm": 2.40302610010562, "kl": 0.0517578125, "learning_rate": 6.2875e-07, "loss": 0.0021, "reward": 1.9166666865348816, "reward_std": 0.20412413775920868, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9583333432674408, "step": 297 }, { "completion_length": 90.25000381469727, "epoch": 0.745, "grad_norm": 2.4971803044396963, "kl": 0.0684814453125, "learning_rate": 6.274999999999999e-07, "loss": 0.0027, "reward": 1.875, "reward_std": 0.20916502177715302, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9166666865348816, "step": 298 }, { "completion_length": 108.16666793823242, "epoch": 0.7475, "grad_norm": 5.629330551809588, "kl": 0.0693359375, "learning_rate": 6.262499999999999e-07, "loss": 0.0028, "reward": 1.9583333730697632, "reward_std": 0.10206206887960434, "rewards/accuracy_reward": 1.0, "rewards/format_reward": 0.9583333432674408, "step": 299 }, { "completion_length": 66.75, "epoch": 0.75, "grad_norm": 7.215837542303994, "kl": 0.0615234375, "learning_rate": 6.249999999999999e-07, "loss": 0.0025, "reward": 1.875, "reward_std": 0.3061861991882324, "rewards/accuracy_reward": 0.9583333432674408, "rewards/format_reward": 0.9166666865348816, "step": 300 } ], "logging_steps": 1.0, "max_steps": 800, "num_input_tokens_seen": 0, "num_train_epochs": 2, "save_steps": 50, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 0.0, "train_batch_size": 1, "trial_name": null, "trial_params": null }