vit-base-patch16-224-ve-U11-b-80 / trainer_state.json
Augusto777's picture
End of training
e878e07 verified
raw
history blame contribute delete
No virus
25.5 kB
{
"best_metric": 0.8913043478260869,
"best_model_checkpoint": "vit-base-patch16-224-ve-U11-b-80\\checkpoint-357",
"epoch": 73.84615384615384,
"eval_steps": 500,
"global_step": 480,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.92,
"eval_accuracy": 0.3695652173913043,
"eval_loss": 1.3848360776901245,
"eval_runtime": 0.7009,
"eval_samples_per_second": 65.626,
"eval_steps_per_second": 2.853,
"step": 6
},
{
"epoch": 1.54,
"learning_rate": 2.2916666666666667e-05,
"loss": 1.3848,
"step": 10
},
{
"epoch": 2.0,
"eval_accuracy": 0.5217391304347826,
"eval_loss": 1.3691749572753906,
"eval_runtime": 0.7095,
"eval_samples_per_second": 64.836,
"eval_steps_per_second": 2.819,
"step": 13
},
{
"epoch": 2.92,
"eval_accuracy": 0.5434782608695652,
"eval_loss": 1.3196941614151,
"eval_runtime": 0.7166,
"eval_samples_per_second": 64.193,
"eval_steps_per_second": 2.791,
"step": 19
},
{
"epoch": 3.08,
"learning_rate": 4.5833333333333334e-05,
"loss": 1.3517,
"step": 20
},
{
"epoch": 4.0,
"eval_accuracy": 0.5,
"eval_loss": 1.226363182067871,
"eval_runtime": 0.7199,
"eval_samples_per_second": 63.894,
"eval_steps_per_second": 2.778,
"step": 26
},
{
"epoch": 4.62,
"learning_rate": 5.4276315789473686e-05,
"loss": 1.2334,
"step": 30
},
{
"epoch": 4.92,
"eval_accuracy": 0.43478260869565216,
"eval_loss": 1.1280030012130737,
"eval_runtime": 0.7001,
"eval_samples_per_second": 65.707,
"eval_steps_per_second": 2.857,
"step": 32
},
{
"epoch": 6.0,
"eval_accuracy": 0.5434782608695652,
"eval_loss": 1.043665885925293,
"eval_runtime": 0.6942,
"eval_samples_per_second": 66.267,
"eval_steps_per_second": 2.881,
"step": 39
},
{
"epoch": 6.15,
"learning_rate": 5.3070175438596496e-05,
"loss": 1.073,
"step": 40
},
{
"epoch": 6.92,
"eval_accuracy": 0.5869565217391305,
"eval_loss": 0.977077841758728,
"eval_runtime": 0.7166,
"eval_samples_per_second": 64.193,
"eval_steps_per_second": 2.791,
"step": 45
},
{
"epoch": 7.69,
"learning_rate": 5.18640350877193e-05,
"loss": 0.9358,
"step": 50
},
{
"epoch": 8.0,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 0.9469745755195618,
"eval_runtime": 0.716,
"eval_samples_per_second": 64.245,
"eval_steps_per_second": 2.793,
"step": 52
},
{
"epoch": 8.92,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.8527599573135376,
"eval_runtime": 0.7068,
"eval_samples_per_second": 65.083,
"eval_steps_per_second": 2.83,
"step": 58
},
{
"epoch": 9.23,
"learning_rate": 5.0657894736842104e-05,
"loss": 0.7955,
"step": 60
},
{
"epoch": 10.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.7838979959487915,
"eval_runtime": 0.7095,
"eval_samples_per_second": 64.83,
"eval_steps_per_second": 2.819,
"step": 65
},
{
"epoch": 10.77,
"learning_rate": 4.9451754385964915e-05,
"loss": 0.6429,
"step": 70
},
{
"epoch": 10.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.762014627456665,
"eval_runtime": 0.7297,
"eval_samples_per_second": 63.039,
"eval_steps_per_second": 2.741,
"step": 71
},
{
"epoch": 12.0,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.6466214656829834,
"eval_runtime": 0.7269,
"eval_samples_per_second": 63.282,
"eval_steps_per_second": 2.751,
"step": 78
},
{
"epoch": 12.31,
"learning_rate": 4.824561403508772e-05,
"loss": 0.5096,
"step": 80
},
{
"epoch": 12.92,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.7395678162574768,
"eval_runtime": 0.7173,
"eval_samples_per_second": 64.127,
"eval_steps_per_second": 2.788,
"step": 84
},
{
"epoch": 13.85,
"learning_rate": 4.703947368421053e-05,
"loss": 0.4086,
"step": 90
},
{
"epoch": 14.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.7334679961204529,
"eval_runtime": 0.7,
"eval_samples_per_second": 65.717,
"eval_steps_per_second": 2.857,
"step": 91
},
{
"epoch": 14.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.6472949981689453,
"eval_runtime": 0.7003,
"eval_samples_per_second": 65.683,
"eval_steps_per_second": 2.856,
"step": 97
},
{
"epoch": 15.38,
"learning_rate": 4.5833333333333334e-05,
"loss": 0.3355,
"step": 100
},
{
"epoch": 16.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.6019440293312073,
"eval_runtime": 0.7173,
"eval_samples_per_second": 64.128,
"eval_steps_per_second": 2.788,
"step": 104
},
{
"epoch": 16.92,
"learning_rate": 4.462719298245614e-05,
"loss": 0.2511,
"step": 110
},
{
"epoch": 16.92,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.5275207757949829,
"eval_runtime": 0.7323,
"eval_samples_per_second": 62.817,
"eval_steps_per_second": 2.731,
"step": 110
},
{
"epoch": 18.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.606886088848114,
"eval_runtime": 0.7178,
"eval_samples_per_second": 64.088,
"eval_steps_per_second": 2.786,
"step": 117
},
{
"epoch": 18.46,
"learning_rate": 4.342105263157895e-05,
"loss": 0.1925,
"step": 120
},
{
"epoch": 18.92,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.6446670293807983,
"eval_runtime": 0.7505,
"eval_samples_per_second": 61.289,
"eval_steps_per_second": 2.665,
"step": 123
},
{
"epoch": 20.0,
"learning_rate": 4.221491228070176e-05,
"loss": 0.2121,
"step": 130
},
{
"epoch": 20.0,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.5044350028038025,
"eval_runtime": 0.697,
"eval_samples_per_second": 65.993,
"eval_steps_per_second": 2.869,
"step": 130
},
{
"epoch": 20.92,
"eval_accuracy": 0.8478260869565217,
"eval_loss": 0.48049649596214294,
"eval_runtime": 0.683,
"eval_samples_per_second": 67.347,
"eval_steps_per_second": 2.928,
"step": 136
},
{
"epoch": 21.54,
"learning_rate": 4.100877192982456e-05,
"loss": 0.1883,
"step": 140
},
{
"epoch": 22.0,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.6722545623779297,
"eval_runtime": 0.7334,
"eval_samples_per_second": 62.717,
"eval_steps_per_second": 2.727,
"step": 143
},
{
"epoch": 22.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.7729943990707397,
"eval_runtime": 0.7005,
"eval_samples_per_second": 65.672,
"eval_steps_per_second": 2.855,
"step": 149
},
{
"epoch": 23.08,
"learning_rate": 3.9802631578947374e-05,
"loss": 0.1693,
"step": 150
},
{
"epoch": 24.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.6573545336723328,
"eval_runtime": 0.7181,
"eval_samples_per_second": 64.055,
"eval_steps_per_second": 2.785,
"step": 156
},
{
"epoch": 24.62,
"learning_rate": 3.859649122807018e-05,
"loss": 0.1252,
"step": 160
},
{
"epoch": 24.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.8191500902175903,
"eval_runtime": 0.7167,
"eval_samples_per_second": 64.183,
"eval_steps_per_second": 2.791,
"step": 162
},
{
"epoch": 26.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.598371148109436,
"eval_runtime": 0.7198,
"eval_samples_per_second": 63.906,
"eval_steps_per_second": 2.779,
"step": 169
},
{
"epoch": 26.15,
"learning_rate": 3.739035087719298e-05,
"loss": 0.1439,
"step": 170
},
{
"epoch": 26.92,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.7632927298545837,
"eval_runtime": 0.7166,
"eval_samples_per_second": 64.19,
"eval_steps_per_second": 2.791,
"step": 175
},
{
"epoch": 27.69,
"learning_rate": 3.618421052631579e-05,
"loss": 0.137,
"step": 180
},
{
"epoch": 28.0,
"eval_accuracy": 0.8478260869565217,
"eval_loss": 0.6566154956817627,
"eval_runtime": 0.7333,
"eval_samples_per_second": 62.732,
"eval_steps_per_second": 2.727,
"step": 182
},
{
"epoch": 28.92,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.6550094485282898,
"eval_runtime": 0.7171,
"eval_samples_per_second": 64.147,
"eval_steps_per_second": 2.789,
"step": 188
},
{
"epoch": 29.23,
"learning_rate": 3.49780701754386e-05,
"loss": 0.1316,
"step": 190
},
{
"epoch": 30.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.7162931561470032,
"eval_runtime": 0.7253,
"eval_samples_per_second": 63.42,
"eval_steps_per_second": 2.757,
"step": 195
},
{
"epoch": 30.77,
"learning_rate": 3.377192982456141e-05,
"loss": 0.1101,
"step": 200
},
{
"epoch": 30.92,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.6240657567977905,
"eval_runtime": 0.7,
"eval_samples_per_second": 65.714,
"eval_steps_per_second": 2.857,
"step": 201
},
{
"epoch": 32.0,
"eval_accuracy": 0.8478260869565217,
"eval_loss": 0.6359685659408569,
"eval_runtime": 0.7141,
"eval_samples_per_second": 64.418,
"eval_steps_per_second": 2.801,
"step": 208
},
{
"epoch": 32.31,
"learning_rate": 3.256578947368421e-05,
"loss": 0.0947,
"step": 210
},
{
"epoch": 32.92,
"eval_accuracy": 0.8695652173913043,
"eval_loss": 0.5272877216339111,
"eval_runtime": 0.7338,
"eval_samples_per_second": 62.69,
"eval_steps_per_second": 2.726,
"step": 214
},
{
"epoch": 33.85,
"learning_rate": 3.1359649122807015e-05,
"loss": 0.0885,
"step": 220
},
{
"epoch": 34.0,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.657907247543335,
"eval_runtime": 0.6973,
"eval_samples_per_second": 65.972,
"eval_steps_per_second": 2.868,
"step": 221
},
{
"epoch": 34.92,
"eval_accuracy": 0.8695652173913043,
"eval_loss": 0.5920112133026123,
"eval_runtime": 0.7176,
"eval_samples_per_second": 64.106,
"eval_steps_per_second": 2.787,
"step": 227
},
{
"epoch": 35.38,
"learning_rate": 3.0153508771929826e-05,
"loss": 0.0967,
"step": 230
},
{
"epoch": 36.0,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.6778892278671265,
"eval_runtime": 0.7072,
"eval_samples_per_second": 65.043,
"eval_steps_per_second": 2.828,
"step": 234
},
{
"epoch": 36.92,
"learning_rate": 2.894736842105263e-05,
"loss": 0.0812,
"step": 240
},
{
"epoch": 36.92,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.7354278564453125,
"eval_runtime": 0.7011,
"eval_samples_per_second": 65.61,
"eval_steps_per_second": 2.853,
"step": 240
},
{
"epoch": 38.0,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.68247389793396,
"eval_runtime": 0.704,
"eval_samples_per_second": 65.342,
"eval_steps_per_second": 2.841,
"step": 247
},
{
"epoch": 38.46,
"learning_rate": 2.774122807017544e-05,
"loss": 0.0752,
"step": 250
},
{
"epoch": 38.92,
"eval_accuracy": 0.8478260869565217,
"eval_loss": 0.6347822546958923,
"eval_runtime": 0.7005,
"eval_samples_per_second": 65.672,
"eval_steps_per_second": 2.855,
"step": 253
},
{
"epoch": 40.0,
"learning_rate": 2.6535087719298248e-05,
"loss": 0.0757,
"step": 260
},
{
"epoch": 40.0,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.7726355791091919,
"eval_runtime": 0.7169,
"eval_samples_per_second": 64.165,
"eval_steps_per_second": 2.79,
"step": 260
},
{
"epoch": 40.92,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.6737184524536133,
"eval_runtime": 0.7008,
"eval_samples_per_second": 65.637,
"eval_steps_per_second": 2.854,
"step": 266
},
{
"epoch": 41.54,
"learning_rate": 2.5328947368421052e-05,
"loss": 0.086,
"step": 270
},
{
"epoch": 42.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.6738055348396301,
"eval_runtime": 0.71,
"eval_samples_per_second": 64.791,
"eval_steps_per_second": 2.817,
"step": 273
},
{
"epoch": 42.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.7295153141021729,
"eval_runtime": 0.7,
"eval_samples_per_second": 65.716,
"eval_steps_per_second": 2.857,
"step": 279
},
{
"epoch": 43.08,
"learning_rate": 2.412280701754386e-05,
"loss": 0.0533,
"step": 280
},
{
"epoch": 44.0,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.6896860599517822,
"eval_runtime": 0.7158,
"eval_samples_per_second": 64.267,
"eval_steps_per_second": 2.794,
"step": 286
},
{
"epoch": 44.62,
"learning_rate": 2.2916666666666667e-05,
"loss": 0.0574,
"step": 290
},
{
"epoch": 44.92,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.6426982879638672,
"eval_runtime": 0.692,
"eval_samples_per_second": 66.474,
"eval_steps_per_second": 2.89,
"step": 292
},
{
"epoch": 46.0,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.647143542766571,
"eval_runtime": 0.7047,
"eval_samples_per_second": 65.273,
"eval_steps_per_second": 2.838,
"step": 299
},
{
"epoch": 46.15,
"learning_rate": 2.1710526315789474e-05,
"loss": 0.0739,
"step": 300
},
{
"epoch": 46.92,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.6645414233207703,
"eval_runtime": 0.7034,
"eval_samples_per_second": 65.395,
"eval_steps_per_second": 2.843,
"step": 305
},
{
"epoch": 47.69,
"learning_rate": 2.050438596491228e-05,
"loss": 0.0849,
"step": 310
},
{
"epoch": 48.0,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.6857832074165344,
"eval_runtime": 0.7532,
"eval_samples_per_second": 61.074,
"eval_steps_per_second": 2.655,
"step": 312
},
{
"epoch": 48.92,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.747519314289093,
"eval_runtime": 0.7003,
"eval_samples_per_second": 65.687,
"eval_steps_per_second": 2.856,
"step": 318
},
{
"epoch": 49.23,
"learning_rate": 1.929824561403509e-05,
"loss": 0.0719,
"step": 320
},
{
"epoch": 50.0,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.6734511256217957,
"eval_runtime": 0.6961,
"eval_samples_per_second": 66.08,
"eval_steps_per_second": 2.873,
"step": 325
},
{
"epoch": 50.77,
"learning_rate": 1.8092105263157896e-05,
"loss": 0.0434,
"step": 330
},
{
"epoch": 50.92,
"eval_accuracy": 0.8478260869565217,
"eval_loss": 0.6892310380935669,
"eval_runtime": 0.7085,
"eval_samples_per_second": 64.925,
"eval_steps_per_second": 2.823,
"step": 331
},
{
"epoch": 52.0,
"eval_accuracy": 0.8478260869565217,
"eval_loss": 0.6820205450057983,
"eval_runtime": 0.7093,
"eval_samples_per_second": 64.852,
"eval_steps_per_second": 2.82,
"step": 338
},
{
"epoch": 52.31,
"learning_rate": 1.6885964912280704e-05,
"loss": 0.0564,
"step": 340
},
{
"epoch": 52.92,
"eval_accuracy": 0.8478260869565217,
"eval_loss": 0.6677300930023193,
"eval_runtime": 0.7015,
"eval_samples_per_second": 65.573,
"eval_steps_per_second": 2.851,
"step": 344
},
{
"epoch": 53.85,
"learning_rate": 1.5679824561403508e-05,
"loss": 0.0408,
"step": 350
},
{
"epoch": 54.0,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.7379003763198853,
"eval_runtime": 0.7059,
"eval_samples_per_second": 65.163,
"eval_steps_per_second": 2.833,
"step": 351
},
{
"epoch": 54.92,
"eval_accuracy": 0.8913043478260869,
"eval_loss": 0.5455520749092102,
"eval_runtime": 0.7176,
"eval_samples_per_second": 64.104,
"eval_steps_per_second": 2.787,
"step": 357
},
{
"epoch": 55.38,
"learning_rate": 1.4473684210526315e-05,
"loss": 0.0464,
"step": 360
},
{
"epoch": 56.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.7951130270957947,
"eval_runtime": 0.7275,
"eval_samples_per_second": 63.232,
"eval_steps_per_second": 2.749,
"step": 364
},
{
"epoch": 56.92,
"learning_rate": 1.3267543859649124e-05,
"loss": 0.0463,
"step": 370
},
{
"epoch": 56.92,
"eval_accuracy": 0.8478260869565217,
"eval_loss": 0.6356358528137207,
"eval_runtime": 0.6997,
"eval_samples_per_second": 65.74,
"eval_steps_per_second": 2.858,
"step": 370
},
{
"epoch": 58.0,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.7528730630874634,
"eval_runtime": 0.7044,
"eval_samples_per_second": 65.303,
"eval_steps_per_second": 2.839,
"step": 377
},
{
"epoch": 58.46,
"learning_rate": 1.206140350877193e-05,
"loss": 0.0361,
"step": 380
},
{
"epoch": 58.92,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.8016931414604187,
"eval_runtime": 0.7001,
"eval_samples_per_second": 65.709,
"eval_steps_per_second": 2.857,
"step": 383
},
{
"epoch": 60.0,
"learning_rate": 1.0855263157894737e-05,
"loss": 0.0457,
"step": 390
},
{
"epoch": 60.0,
"eval_accuracy": 0.8478260869565217,
"eval_loss": 0.7876579165458679,
"eval_runtime": 0.712,
"eval_samples_per_second": 64.605,
"eval_steps_per_second": 2.809,
"step": 390
},
{
"epoch": 60.92,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.8018705248832703,
"eval_runtime": 0.7111,
"eval_samples_per_second": 64.689,
"eval_steps_per_second": 2.813,
"step": 396
},
{
"epoch": 61.54,
"learning_rate": 9.649122807017545e-06,
"loss": 0.0371,
"step": 400
},
{
"epoch": 62.0,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.8015215396881104,
"eval_runtime": 0.7026,
"eval_samples_per_second": 65.472,
"eval_steps_per_second": 2.847,
"step": 403
},
{
"epoch": 62.92,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.8487241268157959,
"eval_runtime": 0.7173,
"eval_samples_per_second": 64.132,
"eval_steps_per_second": 2.788,
"step": 409
},
{
"epoch": 63.08,
"learning_rate": 8.442982456140352e-06,
"loss": 0.0452,
"step": 410
},
{
"epoch": 64.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.9400689601898193,
"eval_runtime": 0.7216,
"eval_samples_per_second": 63.751,
"eval_steps_per_second": 2.772,
"step": 416
},
{
"epoch": 64.62,
"learning_rate": 7.2368421052631575e-06,
"loss": 0.0455,
"step": 420
},
{
"epoch": 64.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.9647494554519653,
"eval_runtime": 0.7173,
"eval_samples_per_second": 64.126,
"eval_steps_per_second": 2.788,
"step": 422
},
{
"epoch": 66.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.8957914113998413,
"eval_runtime": 0.704,
"eval_samples_per_second": 65.338,
"eval_steps_per_second": 2.841,
"step": 429
},
{
"epoch": 66.15,
"learning_rate": 6.030701754385965e-06,
"loss": 0.0408,
"step": 430
},
{
"epoch": 66.92,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.8531116247177124,
"eval_runtime": 0.6999,
"eval_samples_per_second": 65.72,
"eval_steps_per_second": 2.857,
"step": 435
},
{
"epoch": 67.69,
"learning_rate": 4.824561403508772e-06,
"loss": 0.0418,
"step": 440
},
{
"epoch": 68.0,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.8205869197845459,
"eval_runtime": 0.715,
"eval_samples_per_second": 64.335,
"eval_steps_per_second": 2.797,
"step": 442
},
{
"epoch": 68.92,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.8044800758361816,
"eval_runtime": 0.7334,
"eval_samples_per_second": 62.721,
"eval_steps_per_second": 2.727,
"step": 448
},
{
"epoch": 69.23,
"learning_rate": 3.6184210526315788e-06,
"loss": 0.0424,
"step": 450
},
{
"epoch": 70.0,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.8089639544487,
"eval_runtime": 0.7207,
"eval_samples_per_second": 63.826,
"eval_steps_per_second": 2.775,
"step": 455
},
{
"epoch": 70.77,
"learning_rate": 2.412280701754386e-06,
"loss": 0.038,
"step": 460
},
{
"epoch": 70.92,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.7901564836502075,
"eval_runtime": 0.7,
"eval_samples_per_second": 65.711,
"eval_steps_per_second": 2.857,
"step": 461
},
{
"epoch": 72.0,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.8007910251617432,
"eval_runtime": 0.7273,
"eval_samples_per_second": 63.251,
"eval_steps_per_second": 2.75,
"step": 468
},
{
"epoch": 72.31,
"learning_rate": 1.206140350877193e-06,
"loss": 0.0401,
"step": 470
},
{
"epoch": 72.92,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.8121515512466431,
"eval_runtime": 0.7164,
"eval_samples_per_second": 64.206,
"eval_steps_per_second": 2.792,
"step": 474
},
{
"epoch": 73.85,
"learning_rate": 0.0,
"loss": 0.0347,
"step": 480
},
{
"epoch": 73.85,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.8161138296127319,
"eval_runtime": 0.7385,
"eval_samples_per_second": 62.291,
"eval_steps_per_second": 2.708,
"step": 480
},
{
"epoch": 73.85,
"step": 480,
"total_flos": 4.687651970153865e+18,
"train_loss": 0.24899903287490208,
"train_runtime": 1004.3941,
"train_samples_per_second": 65.233,
"train_steps_per_second": 0.478
}
],
"logging_steps": 10,
"max_steps": 480,
"num_input_tokens_seen": 0,
"num_train_epochs": 80,
"save_steps": 500,
"total_flos": 4.687651970153865e+18,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}