Melo1512's picture
End of training
a837d15 verified
raw
history blame
29.7 kB
{
"best_metric": 0.9489402697495183,
"best_model_checkpoint": "vit-msn-small-corect_cleaned_dataset_lateral_flow_ivalidation/checkpoint-32",
"epoch": 92.3076923076923,
"eval_steps": 500,
"global_step": 300,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.9230769230769231,
"eval_accuracy": 0.14932562620423892,
"eval_loss": 0.8616608381271362,
"eval_runtime": 4.4185,
"eval_samples_per_second": 234.919,
"eval_steps_per_second": 3.847,
"step": 3
},
{
"epoch": 1.8461538461538463,
"eval_accuracy": 0.8795761078998073,
"eval_loss": 0.4977250099182129,
"eval_runtime": 4.3984,
"eval_samples_per_second": 235.995,
"eval_steps_per_second": 3.865,
"step": 6
},
{
"epoch": 2.769230769230769,
"eval_accuracy": 0.7273603082851637,
"eval_loss": 0.6142979264259338,
"eval_runtime": 4.4015,
"eval_samples_per_second": 235.828,
"eval_steps_per_second": 3.862,
"step": 9
},
{
"epoch": 3.076923076923077,
"grad_norm": 12.760916709899902,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.6181,
"step": 10
},
{
"epoch": 4.0,
"eval_accuracy": 0.8323699421965318,
"eval_loss": 0.46852532029151917,
"eval_runtime": 4.468,
"eval_samples_per_second": 232.321,
"eval_steps_per_second": 3.805,
"step": 13
},
{
"epoch": 4.923076923076923,
"eval_accuracy": 0.8622350674373795,
"eval_loss": 0.3828171491622925,
"eval_runtime": 4.2719,
"eval_samples_per_second": 242.983,
"eval_steps_per_second": 3.979,
"step": 16
},
{
"epoch": 5.846153846153846,
"eval_accuracy": 0.8497109826589595,
"eval_loss": 0.40278810262680054,
"eval_runtime": 4.3081,
"eval_samples_per_second": 240.944,
"eval_steps_per_second": 3.946,
"step": 19
},
{
"epoch": 6.153846153846154,
"grad_norm": 19.64206886291504,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.3645,
"step": 20
},
{
"epoch": 6.769230769230769,
"eval_accuracy": 0.9210019267822736,
"eval_loss": 0.24846747517585754,
"eval_runtime": 4.5312,
"eval_samples_per_second": 229.078,
"eval_steps_per_second": 3.752,
"step": 22
},
{
"epoch": 8.0,
"eval_accuracy": 0.9123314065510597,
"eval_loss": 0.24262332916259766,
"eval_runtime": 4.334,
"eval_samples_per_second": 239.504,
"eval_steps_per_second": 3.923,
"step": 26
},
{
"epoch": 8.923076923076923,
"eval_accuracy": 0.7774566473988439,
"eval_loss": 0.5673837065696716,
"eval_runtime": 4.5821,
"eval_samples_per_second": 226.533,
"eval_steps_per_second": 3.71,
"step": 29
},
{
"epoch": 9.23076923076923,
"grad_norm": 55.66674041748047,
"learning_rate": 5e-05,
"loss": 0.3492,
"step": 30
},
{
"epoch": 9.846153846153847,
"eval_accuracy": 0.9489402697495183,
"eval_loss": 0.16099636256694794,
"eval_runtime": 4.3519,
"eval_samples_per_second": 238.518,
"eval_steps_per_second": 3.906,
"step": 32
},
{
"epoch": 10.76923076923077,
"eval_accuracy": 0.9171483622350675,
"eval_loss": 0.32253944873809814,
"eval_runtime": 4.441,
"eval_samples_per_second": 233.73,
"eval_steps_per_second": 3.828,
"step": 35
},
{
"epoch": 12.0,
"eval_accuracy": 0.9123314065510597,
"eval_loss": 0.29041457176208496,
"eval_runtime": 4.3317,
"eval_samples_per_second": 239.628,
"eval_steps_per_second": 3.925,
"step": 39
},
{
"epoch": 12.307692307692308,
"grad_norm": 8.140445709228516,
"learning_rate": 4.814814814814815e-05,
"loss": 0.3472,
"step": 40
},
{
"epoch": 12.923076923076923,
"eval_accuracy": 0.9132947976878613,
"eval_loss": 0.28509509563446045,
"eval_runtime": 4.4172,
"eval_samples_per_second": 234.99,
"eval_steps_per_second": 3.849,
"step": 42
},
{
"epoch": 13.846153846153847,
"eval_accuracy": 0.8930635838150289,
"eval_loss": 0.33301812410354614,
"eval_runtime": 4.6075,
"eval_samples_per_second": 225.284,
"eval_steps_per_second": 3.69,
"step": 45
},
{
"epoch": 14.76923076923077,
"eval_accuracy": 0.7389210019267822,
"eval_loss": 0.6116296052932739,
"eval_runtime": 4.3951,
"eval_samples_per_second": 236.172,
"eval_steps_per_second": 3.868,
"step": 48
},
{
"epoch": 15.384615384615385,
"grad_norm": 12.589347839355469,
"learning_rate": 4.62962962962963e-05,
"loss": 0.2838,
"step": 50
},
{
"epoch": 16.0,
"eval_accuracy": 0.9046242774566474,
"eval_loss": 0.26773256063461304,
"eval_runtime": 4.4069,
"eval_samples_per_second": 235.539,
"eval_steps_per_second": 3.858,
"step": 52
},
{
"epoch": 16.923076923076923,
"eval_accuracy": 0.882466281310212,
"eval_loss": 0.32162582874298096,
"eval_runtime": 4.4812,
"eval_samples_per_second": 231.635,
"eval_steps_per_second": 3.794,
"step": 55
},
{
"epoch": 17.846153846153847,
"eval_accuracy": 0.9258188824662813,
"eval_loss": 0.21645468473434448,
"eval_runtime": 4.4148,
"eval_samples_per_second": 235.118,
"eval_steps_per_second": 3.851,
"step": 58
},
{
"epoch": 18.46153846153846,
"grad_norm": 10.592439651489258,
"learning_rate": 4.4444444444444447e-05,
"loss": 0.292,
"step": 60
},
{
"epoch": 18.76923076923077,
"eval_accuracy": 0.8333333333333334,
"eval_loss": 0.4377180337905884,
"eval_runtime": 4.4753,
"eval_samples_per_second": 231.941,
"eval_steps_per_second": 3.799,
"step": 61
},
{
"epoch": 20.0,
"eval_accuracy": 0.869942196531792,
"eval_loss": 0.35922446846961975,
"eval_runtime": 4.5252,
"eval_samples_per_second": 229.381,
"eval_steps_per_second": 3.757,
"step": 65
},
{
"epoch": 20.923076923076923,
"eval_accuracy": 0.7986512524084779,
"eval_loss": 0.5010850429534912,
"eval_runtime": 4.4935,
"eval_samples_per_second": 231.001,
"eval_steps_per_second": 3.783,
"step": 68
},
{
"epoch": 21.53846153846154,
"grad_norm": 20.344301223754883,
"learning_rate": 4.259259259259259e-05,
"loss": 0.2809,
"step": 70
},
{
"epoch": 21.846153846153847,
"eval_accuracy": 0.9161849710982659,
"eval_loss": 0.2318951040506363,
"eval_runtime": 4.3953,
"eval_samples_per_second": 236.161,
"eval_steps_per_second": 3.868,
"step": 71
},
{
"epoch": 22.76923076923077,
"eval_accuracy": 0.8448940269749519,
"eval_loss": 0.40184733271598816,
"eval_runtime": 4.3509,
"eval_samples_per_second": 238.569,
"eval_steps_per_second": 3.907,
"step": 74
},
{
"epoch": 24.0,
"eval_accuracy": 0.7996146435452793,
"eval_loss": 0.48505887389183044,
"eval_runtime": 4.4156,
"eval_samples_per_second": 235.078,
"eval_steps_per_second": 3.85,
"step": 78
},
{
"epoch": 24.615384615384617,
"grad_norm": 3.687450647354126,
"learning_rate": 4.074074074074074e-05,
"loss": 0.251,
"step": 80
},
{
"epoch": 24.923076923076923,
"eval_accuracy": 0.8275529865125241,
"eval_loss": 0.46682825684547424,
"eval_runtime": 4.4615,
"eval_samples_per_second": 232.658,
"eval_steps_per_second": 3.81,
"step": 81
},
{
"epoch": 25.846153846153847,
"eval_accuracy": 0.8179190751445087,
"eval_loss": 0.49736079573631287,
"eval_runtime": 4.4122,
"eval_samples_per_second": 235.256,
"eval_steps_per_second": 3.853,
"step": 84
},
{
"epoch": 26.76923076923077,
"eval_accuracy": 0.7890173410404624,
"eval_loss": 0.5481745600700378,
"eval_runtime": 4.3893,
"eval_samples_per_second": 236.483,
"eval_steps_per_second": 3.873,
"step": 87
},
{
"epoch": 27.692307692307693,
"grad_norm": 8.984414100646973,
"learning_rate": 3.888888888888889e-05,
"loss": 0.2371,
"step": 90
},
{
"epoch": 28.0,
"eval_accuracy": 0.7369942196531792,
"eval_loss": 0.6840028762817383,
"eval_runtime": 4.3759,
"eval_samples_per_second": 237.209,
"eval_steps_per_second": 3.885,
"step": 91
},
{
"epoch": 28.923076923076923,
"eval_accuracy": 0.861271676300578,
"eval_loss": 0.362918883562088,
"eval_runtime": 4.3847,
"eval_samples_per_second": 236.732,
"eval_steps_per_second": 3.877,
"step": 94
},
{
"epoch": 29.846153846153847,
"eval_accuracy": 0.733140655105973,
"eval_loss": 0.6211853623390198,
"eval_runtime": 4.3625,
"eval_samples_per_second": 237.939,
"eval_steps_per_second": 3.897,
"step": 97
},
{
"epoch": 30.76923076923077,
"grad_norm": 10.264822006225586,
"learning_rate": 3.7037037037037037e-05,
"loss": 0.2416,
"step": 100
},
{
"epoch": 30.76923076923077,
"eval_accuracy": 0.8641618497109826,
"eval_loss": 0.36566850543022156,
"eval_runtime": 4.2876,
"eval_samples_per_second": 242.092,
"eval_steps_per_second": 3.965,
"step": 100
},
{
"epoch": 32.0,
"eval_accuracy": 0.7649325626204239,
"eval_loss": 0.5856759548187256,
"eval_runtime": 4.3523,
"eval_samples_per_second": 238.496,
"eval_steps_per_second": 3.906,
"step": 104
},
{
"epoch": 32.92307692307692,
"eval_accuracy": 0.8564547206165704,
"eval_loss": 0.36104100942611694,
"eval_runtime": 4.4258,
"eval_samples_per_second": 234.532,
"eval_steps_per_second": 3.841,
"step": 107
},
{
"epoch": 33.84615384615385,
"grad_norm": 9.243880271911621,
"learning_rate": 3.518518518518519e-05,
"loss": 0.2312,
"step": 110
},
{
"epoch": 33.84615384615385,
"eval_accuracy": 0.6358381502890174,
"eval_loss": 0.8753241300582886,
"eval_runtime": 4.2456,
"eval_samples_per_second": 244.487,
"eval_steps_per_second": 4.004,
"step": 110
},
{
"epoch": 34.76923076923077,
"eval_accuracy": 0.7976878612716763,
"eval_loss": 0.4992680549621582,
"eval_runtime": 4.2709,
"eval_samples_per_second": 243.042,
"eval_steps_per_second": 3.98,
"step": 113
},
{
"epoch": 36.0,
"eval_accuracy": 0.8131021194605009,
"eval_loss": 0.47023212909698486,
"eval_runtime": 4.2489,
"eval_samples_per_second": 244.298,
"eval_steps_per_second": 4.001,
"step": 117
},
{
"epoch": 36.92307692307692,
"grad_norm": 20.28152084350586,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.2131,
"step": 120
},
{
"epoch": 36.92307692307692,
"eval_accuracy": 0.8583815028901735,
"eval_loss": 0.3648052513599396,
"eval_runtime": 4.4007,
"eval_samples_per_second": 235.873,
"eval_steps_per_second": 3.863,
"step": 120
},
{
"epoch": 37.84615384615385,
"eval_accuracy": 0.7061657032755299,
"eval_loss": 0.766022264957428,
"eval_runtime": 4.5176,
"eval_samples_per_second": 229.77,
"eval_steps_per_second": 3.763,
"step": 123
},
{
"epoch": 38.76923076923077,
"eval_accuracy": 0.8304431599229287,
"eval_loss": 0.44438010454177856,
"eval_runtime": 4.5626,
"eval_samples_per_second": 227.503,
"eval_steps_per_second": 3.726,
"step": 126
},
{
"epoch": 40.0,
"grad_norm": 3.9224133491516113,
"learning_rate": 3.148148148148148e-05,
"loss": 0.2248,
"step": 130
},
{
"epoch": 40.0,
"eval_accuracy": 0.720616570327553,
"eval_loss": 0.7567552924156189,
"eval_runtime": 4.3321,
"eval_samples_per_second": 239.604,
"eval_steps_per_second": 3.924,
"step": 130
},
{
"epoch": 40.92307692307692,
"eval_accuracy": 0.7745664739884393,
"eval_loss": 0.6133757829666138,
"eval_runtime": 4.378,
"eval_samples_per_second": 237.092,
"eval_steps_per_second": 3.883,
"step": 133
},
{
"epoch": 41.84615384615385,
"eval_accuracy": 0.8371868978805395,
"eval_loss": 0.3969154357910156,
"eval_runtime": 4.5555,
"eval_samples_per_second": 227.854,
"eval_steps_per_second": 3.732,
"step": 136
},
{
"epoch": 42.76923076923077,
"eval_accuracy": 0.7427745664739884,
"eval_loss": 0.6099827885627747,
"eval_runtime": 4.5075,
"eval_samples_per_second": 230.285,
"eval_steps_per_second": 3.772,
"step": 139
},
{
"epoch": 43.07692307692308,
"grad_norm": 8.106155395507812,
"learning_rate": 2.962962962962963e-05,
"loss": 0.2341,
"step": 140
},
{
"epoch": 44.0,
"eval_accuracy": 0.7485549132947977,
"eval_loss": 0.637566328048706,
"eval_runtime": 4.283,
"eval_samples_per_second": 242.352,
"eval_steps_per_second": 3.969,
"step": 143
},
{
"epoch": 44.92307692307692,
"eval_accuracy": 0.6965317919075145,
"eval_loss": 0.8081742525100708,
"eval_runtime": 4.3271,
"eval_samples_per_second": 239.886,
"eval_steps_per_second": 3.929,
"step": 146
},
{
"epoch": 45.84615384615385,
"eval_accuracy": 0.7986512524084779,
"eval_loss": 0.5552083849906921,
"eval_runtime": 4.291,
"eval_samples_per_second": 241.904,
"eval_steps_per_second": 3.962,
"step": 149
},
{
"epoch": 46.15384615384615,
"grad_norm": 6.829940319061279,
"learning_rate": 2.777777777777778e-05,
"loss": 0.1998,
"step": 150
},
{
"epoch": 46.76923076923077,
"eval_accuracy": 0.7784200385356455,
"eval_loss": 0.5735900402069092,
"eval_runtime": 4.2973,
"eval_samples_per_second": 241.545,
"eval_steps_per_second": 3.956,
"step": 152
},
{
"epoch": 48.0,
"eval_accuracy": 0.8179190751445087,
"eval_loss": 0.4477255642414093,
"eval_runtime": 4.4186,
"eval_samples_per_second": 234.915,
"eval_steps_per_second": 3.847,
"step": 156
},
{
"epoch": 48.92307692307692,
"eval_accuracy": 0.8063583815028902,
"eval_loss": 0.4925374686717987,
"eval_runtime": 4.4855,
"eval_samples_per_second": 231.411,
"eval_steps_per_second": 3.79,
"step": 159
},
{
"epoch": 49.23076923076923,
"grad_norm": 4.723771572113037,
"learning_rate": 2.5925925925925925e-05,
"loss": 0.2075,
"step": 160
},
{
"epoch": 49.84615384615385,
"eval_accuracy": 0.7408477842003853,
"eval_loss": 0.66413414478302,
"eval_runtime": 4.4252,
"eval_samples_per_second": 234.565,
"eval_steps_per_second": 3.842,
"step": 162
},
{
"epoch": 50.76923076923077,
"eval_accuracy": 0.7418111753371869,
"eval_loss": 0.671845018863678,
"eval_runtime": 4.4087,
"eval_samples_per_second": 235.445,
"eval_steps_per_second": 3.856,
"step": 165
},
{
"epoch": 52.0,
"eval_accuracy": 0.8169556840077071,
"eval_loss": 0.49127721786499023,
"eval_runtime": 4.6639,
"eval_samples_per_second": 222.563,
"eval_steps_per_second": 3.645,
"step": 169
},
{
"epoch": 52.30769230769231,
"grad_norm": 4.890706539154053,
"learning_rate": 2.4074074074074074e-05,
"loss": 0.197,
"step": 170
},
{
"epoch": 52.92307692307692,
"eval_accuracy": 0.7967244701348748,
"eval_loss": 0.5315573811531067,
"eval_runtime": 4.4532,
"eval_samples_per_second": 233.089,
"eval_steps_per_second": 3.817,
"step": 172
},
{
"epoch": 53.84615384615385,
"eval_accuracy": 0.7032755298651252,
"eval_loss": 0.7917293310165405,
"eval_runtime": 4.3702,
"eval_samples_per_second": 237.52,
"eval_steps_per_second": 3.89,
"step": 175
},
{
"epoch": 54.76923076923077,
"eval_accuracy": 0.684971098265896,
"eval_loss": 0.823156476020813,
"eval_runtime": 4.4312,
"eval_samples_per_second": 234.246,
"eval_steps_per_second": 3.836,
"step": 178
},
{
"epoch": 55.38461538461539,
"grad_norm": 5.017714023590088,
"learning_rate": 2.2222222222222223e-05,
"loss": 0.1769,
"step": 180
},
{
"epoch": 56.0,
"eval_accuracy": 0.6753371868978806,
"eval_loss": 0.8840863704681396,
"eval_runtime": 4.5959,
"eval_samples_per_second": 225.855,
"eval_steps_per_second": 3.699,
"step": 182
},
{
"epoch": 56.92307692307692,
"eval_accuracy": 0.720616570327553,
"eval_loss": 0.7669637799263,
"eval_runtime": 4.5002,
"eval_samples_per_second": 230.655,
"eval_steps_per_second": 3.778,
"step": 185
},
{
"epoch": 57.84615384615385,
"eval_accuracy": 0.7167630057803468,
"eval_loss": 0.7893001437187195,
"eval_runtime": 4.4637,
"eval_samples_per_second": 232.544,
"eval_steps_per_second": 3.809,
"step": 188
},
{
"epoch": 58.46153846153846,
"grad_norm": 4.112958908081055,
"learning_rate": 2.037037037037037e-05,
"loss": 0.1735,
"step": 190
},
{
"epoch": 58.76923076923077,
"eval_accuracy": 0.6001926782273603,
"eval_loss": 1.1964884996414185,
"eval_runtime": 4.4745,
"eval_samples_per_second": 231.983,
"eval_steps_per_second": 3.799,
"step": 191
},
{
"epoch": 60.0,
"eval_accuracy": 0.6570327552986512,
"eval_loss": 1.0561035871505737,
"eval_runtime": 4.48,
"eval_samples_per_second": 231.699,
"eval_steps_per_second": 3.795,
"step": 195
},
{
"epoch": 60.92307692307692,
"eval_accuracy": 0.7408477842003853,
"eval_loss": 0.7164301872253418,
"eval_runtime": 4.4848,
"eval_samples_per_second": 231.449,
"eval_steps_per_second": 3.791,
"step": 198
},
{
"epoch": 61.53846153846154,
"grad_norm": 6.599235534667969,
"learning_rate": 1.8518518518518518e-05,
"loss": 0.1905,
"step": 200
},
{
"epoch": 61.84615384615385,
"eval_accuracy": 0.7610789980732178,
"eval_loss": 0.616022527217865,
"eval_runtime": 4.4715,
"eval_samples_per_second": 232.137,
"eval_steps_per_second": 3.802,
"step": 201
},
{
"epoch": 62.76923076923077,
"eval_accuracy": 0.8005780346820809,
"eval_loss": 0.4963868260383606,
"eval_runtime": 4.495,
"eval_samples_per_second": 230.921,
"eval_steps_per_second": 3.782,
"step": 204
},
{
"epoch": 64.0,
"eval_accuracy": 0.7369942196531792,
"eval_loss": 0.6948912739753723,
"eval_runtime": 4.4865,
"eval_samples_per_second": 231.359,
"eval_steps_per_second": 3.789,
"step": 208
},
{
"epoch": 64.61538461538461,
"grad_norm": 6.637955188751221,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.1748,
"step": 210
},
{
"epoch": 64.92307692307692,
"eval_accuracy": 0.8044315992292871,
"eval_loss": 0.5144685506820679,
"eval_runtime": 4.4627,
"eval_samples_per_second": 232.593,
"eval_steps_per_second": 3.809,
"step": 211
},
{
"epoch": 65.84615384615384,
"eval_accuracy": 0.7707129094412332,
"eval_loss": 0.6396705508232117,
"eval_runtime": 4.384,
"eval_samples_per_second": 236.772,
"eval_steps_per_second": 3.878,
"step": 214
},
{
"epoch": 66.76923076923077,
"eval_accuracy": 0.789980732177264,
"eval_loss": 0.5983762145042419,
"eval_runtime": 4.3335,
"eval_samples_per_second": 239.529,
"eval_steps_per_second": 3.923,
"step": 217
},
{
"epoch": 67.6923076923077,
"grad_norm": 4.977928638458252,
"learning_rate": 1.4814814814814815e-05,
"loss": 0.1535,
"step": 220
},
{
"epoch": 68.0,
"eval_accuracy": 0.8458574181117534,
"eval_loss": 0.4233017861843109,
"eval_runtime": 4.3666,
"eval_samples_per_second": 237.715,
"eval_steps_per_second": 3.893,
"step": 221
},
{
"epoch": 68.92307692307692,
"eval_accuracy": 0.8342967244701349,
"eval_loss": 0.44637879729270935,
"eval_runtime": 4.5328,
"eval_samples_per_second": 228.998,
"eval_steps_per_second": 3.75,
"step": 224
},
{
"epoch": 69.84615384615384,
"eval_accuracy": 0.8497109826589595,
"eval_loss": 0.39527395367622375,
"eval_runtime": 4.3003,
"eval_samples_per_second": 241.377,
"eval_steps_per_second": 3.953,
"step": 227
},
{
"epoch": 70.76923076923077,
"grad_norm": 5.1860833168029785,
"learning_rate": 1.2962962962962962e-05,
"loss": 0.1633,
"step": 230
},
{
"epoch": 70.76923076923077,
"eval_accuracy": 0.8314065510597303,
"eval_loss": 0.4313718378543854,
"eval_runtime": 4.5453,
"eval_samples_per_second": 228.367,
"eval_steps_per_second": 3.74,
"step": 230
},
{
"epoch": 72.0,
"eval_accuracy": 0.802504816955684,
"eval_loss": 0.5035440325737,
"eval_runtime": 4.4372,
"eval_samples_per_second": 233.93,
"eval_steps_per_second": 3.831,
"step": 234
},
{
"epoch": 72.92307692307692,
"eval_accuracy": 0.7803468208092486,
"eval_loss": 0.538741946220398,
"eval_runtime": 4.2892,
"eval_samples_per_second": 242.001,
"eval_steps_per_second": 3.963,
"step": 237
},
{
"epoch": 73.84615384615384,
"grad_norm": 9.802773475646973,
"learning_rate": 1.1111111111111112e-05,
"loss": 0.145,
"step": 240
},
{
"epoch": 73.84615384615384,
"eval_accuracy": 0.802504816955684,
"eval_loss": 0.5016281008720398,
"eval_runtime": 4.368,
"eval_samples_per_second": 237.639,
"eval_steps_per_second": 3.892,
"step": 240
},
{
"epoch": 74.76923076923077,
"eval_accuracy": 0.8159922928709056,
"eval_loss": 0.46059200167655945,
"eval_runtime": 4.4494,
"eval_samples_per_second": 233.289,
"eval_steps_per_second": 3.821,
"step": 243
},
{
"epoch": 76.0,
"eval_accuracy": 0.7524084778420038,
"eval_loss": 0.6731807589530945,
"eval_runtime": 4.4918,
"eval_samples_per_second": 231.087,
"eval_steps_per_second": 3.785,
"step": 247
},
{
"epoch": 76.92307692307692,
"grad_norm": 4.373079299926758,
"learning_rate": 9.259259259259259e-06,
"loss": 0.1584,
"step": 250
},
{
"epoch": 76.92307692307692,
"eval_accuracy": 0.7524084778420038,
"eval_loss": 0.6853501200675964,
"eval_runtime": 4.3919,
"eval_samples_per_second": 236.345,
"eval_steps_per_second": 3.871,
"step": 250
},
{
"epoch": 77.84615384615384,
"eval_accuracy": 0.7572254335260116,
"eval_loss": 0.6868495941162109,
"eval_runtime": 4.4562,
"eval_samples_per_second": 232.935,
"eval_steps_per_second": 3.815,
"step": 253
},
{
"epoch": 78.76923076923077,
"eval_accuracy": 0.7581888246628131,
"eval_loss": 0.6764776706695557,
"eval_runtime": 4.2898,
"eval_samples_per_second": 241.971,
"eval_steps_per_second": 3.963,
"step": 256
},
{
"epoch": 80.0,
"grad_norm": 3.5113680362701416,
"learning_rate": 7.4074074074074075e-06,
"loss": 0.1423,
"step": 260
},
{
"epoch": 80.0,
"eval_accuracy": 0.7832369942196532,
"eval_loss": 0.6294586062431335,
"eval_runtime": 4.456,
"eval_samples_per_second": 232.945,
"eval_steps_per_second": 3.815,
"step": 260
},
{
"epoch": 80.92307692307692,
"eval_accuracy": 0.7909441233140655,
"eval_loss": 0.6123859882354736,
"eval_runtime": 4.4012,
"eval_samples_per_second": 235.843,
"eval_steps_per_second": 3.863,
"step": 263
},
{
"epoch": 81.84615384615384,
"eval_accuracy": 0.7880539499036608,
"eval_loss": 0.6026654839515686,
"eval_runtime": 4.3377,
"eval_samples_per_second": 239.297,
"eval_steps_per_second": 3.919,
"step": 266
},
{
"epoch": 82.76923076923077,
"eval_accuracy": 0.7861271676300579,
"eval_loss": 0.6008134484291077,
"eval_runtime": 4.3155,
"eval_samples_per_second": 240.526,
"eval_steps_per_second": 3.939,
"step": 269
},
{
"epoch": 83.07692307692308,
"grad_norm": 7.668453693389893,
"learning_rate": 5.555555555555556e-06,
"loss": 0.1449,
"step": 270
},
{
"epoch": 84.0,
"eval_accuracy": 0.7687861271676301,
"eval_loss": 0.6533465385437012,
"eval_runtime": 4.5198,
"eval_samples_per_second": 229.655,
"eval_steps_per_second": 3.761,
"step": 273
},
{
"epoch": 84.92307692307692,
"eval_accuracy": 0.7697495183044316,
"eval_loss": 0.6304323673248291,
"eval_runtime": 4.4363,
"eval_samples_per_second": 233.98,
"eval_steps_per_second": 3.832,
"step": 276
},
{
"epoch": 85.84615384615384,
"eval_accuracy": 0.7996146435452793,
"eval_loss": 0.5607452392578125,
"eval_runtime": 4.4792,
"eval_samples_per_second": 231.739,
"eval_steps_per_second": 3.795,
"step": 279
},
{
"epoch": 86.15384615384616,
"grad_norm": 12.00244140625,
"learning_rate": 3.7037037037037037e-06,
"loss": 0.1452,
"step": 280
},
{
"epoch": 86.76923076923077,
"eval_accuracy": 0.7928709055876686,
"eval_loss": 0.5738906264305115,
"eval_runtime": 4.3398,
"eval_samples_per_second": 239.182,
"eval_steps_per_second": 3.917,
"step": 282
},
{
"epoch": 88.0,
"eval_accuracy": 0.7764932562620424,
"eval_loss": 0.6114925146102905,
"eval_runtime": 4.2818,
"eval_samples_per_second": 242.421,
"eval_steps_per_second": 3.97,
"step": 286
},
{
"epoch": 88.92307692307692,
"eval_accuracy": 0.7726396917148363,
"eval_loss": 0.6276693344116211,
"eval_runtime": 4.502,
"eval_samples_per_second": 230.565,
"eval_steps_per_second": 3.776,
"step": 289
},
{
"epoch": 89.23076923076923,
"grad_norm": 5.618044853210449,
"learning_rate": 1.8518518518518519e-06,
"loss": 0.1232,
"step": 290
},
{
"epoch": 89.84615384615384,
"eval_accuracy": 0.7784200385356455,
"eval_loss": 0.627270519733429,
"eval_runtime": 4.4959,
"eval_samples_per_second": 230.875,
"eval_steps_per_second": 3.781,
"step": 292
},
{
"epoch": 90.76923076923077,
"eval_accuracy": 0.7774566473988439,
"eval_loss": 0.6300393342971802,
"eval_runtime": 4.4712,
"eval_samples_per_second": 232.154,
"eval_steps_per_second": 3.802,
"step": 295
},
{
"epoch": 92.0,
"eval_accuracy": 0.7764932562620424,
"eval_loss": 0.6361268758773804,
"eval_runtime": 4.4247,
"eval_samples_per_second": 234.591,
"eval_steps_per_second": 3.842,
"step": 299
},
{
"epoch": 92.3076923076923,
"grad_norm": 14.779194831848145,
"learning_rate": 0.0,
"loss": 0.1494,
"step": 300
},
{
"epoch": 92.3076923076923,
"eval_accuracy": 0.7764932562620424,
"eval_loss": 0.6359105706214905,
"eval_runtime": 4.3892,
"eval_samples_per_second": 236.491,
"eval_steps_per_second": 3.873,
"step": 300
},
{
"epoch": 92.3076923076923,
"step": 300,
"total_flos": 1.4740506847134351e+18,
"train_loss": 0.22712578296661376,
"train_runtime": 1060.3985,
"train_samples_per_second": 76.952,
"train_steps_per_second": 0.283
}
],
"logging_steps": 10,
"max_steps": 300,
"num_input_tokens_seen": 0,
"num_train_epochs": 100,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1.4740506847134351e+18,
"train_batch_size": 64,
"trial_name": null,
"trial_params": null
}