|
{
|
|
"best_metric": 0.8695652173913043,
|
|
"best_model_checkpoint": "vit-base-patch16-224-ve-U13-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": 0.34782608695652173,
|
|
"eval_loss": 1.3847672939300537,
|
|
"eval_runtime": 0.8177,
|
|
"eval_samples_per_second": 56.258,
|
|
"eval_steps_per_second": 2.446,
|
|
"step": 6
|
|
},
|
|
{
|
|
"epoch": 1.54,
|
|
"learning_rate": 2.2916666666666667e-05,
|
|
"loss": 1.3848,
|
|
"step": 10
|
|
},
|
|
{
|
|
"epoch": 2.0,
|
|
"eval_accuracy": 0.5217391304347826,
|
|
"eval_loss": 1.369154930114746,
|
|
"eval_runtime": 0.8317,
|
|
"eval_samples_per_second": 55.306,
|
|
"eval_steps_per_second": 2.405,
|
|
"step": 13
|
|
},
|
|
{
|
|
"epoch": 2.92,
|
|
"eval_accuracy": 0.5869565217391305,
|
|
"eval_loss": 1.3184399604797363,
|
|
"eval_runtime": 0.811,
|
|
"eval_samples_per_second": 56.718,
|
|
"eval_steps_per_second": 2.466,
|
|
"step": 19
|
|
},
|
|
{
|
|
"epoch": 3.08,
|
|
"learning_rate": 4.5833333333333334e-05,
|
|
"loss": 1.352,
|
|
"step": 20
|
|
},
|
|
{
|
|
"epoch": 4.0,
|
|
"eval_accuracy": 0.45652173913043476,
|
|
"eval_loss": 1.2217472791671753,
|
|
"eval_runtime": 0.8076,
|
|
"eval_samples_per_second": 56.958,
|
|
"eval_steps_per_second": 2.476,
|
|
"step": 26
|
|
},
|
|
{
|
|
"epoch": 4.62,
|
|
"learning_rate": 5.4276315789473686e-05,
|
|
"loss": 1.2316,
|
|
"step": 30
|
|
},
|
|
{
|
|
"epoch": 4.92,
|
|
"eval_accuracy": 0.4782608695652174,
|
|
"eval_loss": 1.1417979001998901,
|
|
"eval_runtime": 0.8299,
|
|
"eval_samples_per_second": 55.427,
|
|
"eval_steps_per_second": 2.41,
|
|
"step": 32
|
|
},
|
|
{
|
|
"epoch": 6.0,
|
|
"eval_accuracy": 0.4782608695652174,
|
|
"eval_loss": 1.0688562393188477,
|
|
"eval_runtime": 0.8061,
|
|
"eval_samples_per_second": 57.067,
|
|
"eval_steps_per_second": 2.481,
|
|
"step": 39
|
|
},
|
|
{
|
|
"epoch": 6.15,
|
|
"learning_rate": 5.3070175438596496e-05,
|
|
"loss": 1.0849,
|
|
"step": 40
|
|
},
|
|
{
|
|
"epoch": 6.92,
|
|
"eval_accuracy": 0.5869565217391305,
|
|
"eval_loss": 0.9931420683860779,
|
|
"eval_runtime": 0.8005,
|
|
"eval_samples_per_second": 57.467,
|
|
"eval_steps_per_second": 2.499,
|
|
"step": 45
|
|
},
|
|
{
|
|
"epoch": 7.69,
|
|
"learning_rate": 5.18640350877193e-05,
|
|
"loss": 0.9314,
|
|
"step": 50
|
|
},
|
|
{
|
|
"epoch": 8.0,
|
|
"eval_accuracy": 0.6956521739130435,
|
|
"eval_loss": 0.9457834362983704,
|
|
"eval_runtime": 0.8262,
|
|
"eval_samples_per_second": 55.679,
|
|
"eval_steps_per_second": 2.421,
|
|
"step": 52
|
|
},
|
|
{
|
|
"epoch": 8.92,
|
|
"eval_accuracy": 0.6956521739130435,
|
|
"eval_loss": 0.8674918413162231,
|
|
"eval_runtime": 0.8035,
|
|
"eval_samples_per_second": 57.252,
|
|
"eval_steps_per_second": 2.489,
|
|
"step": 58
|
|
},
|
|
{
|
|
"epoch": 9.23,
|
|
"learning_rate": 5.0657894736842104e-05,
|
|
"loss": 0.8001,
|
|
"step": 60
|
|
},
|
|
{
|
|
"epoch": 10.0,
|
|
"eval_accuracy": 0.717391304347826,
|
|
"eval_loss": 0.8148000240325928,
|
|
"eval_runtime": 0.7969,
|
|
"eval_samples_per_second": 57.726,
|
|
"eval_steps_per_second": 2.51,
|
|
"step": 65
|
|
},
|
|
{
|
|
"epoch": 10.77,
|
|
"learning_rate": 4.9451754385964915e-05,
|
|
"loss": 0.6493,
|
|
"step": 70
|
|
},
|
|
{
|
|
"epoch": 10.92,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.769162118434906,
|
|
"eval_runtime": 0.8005,
|
|
"eval_samples_per_second": 57.466,
|
|
"eval_steps_per_second": 2.499,
|
|
"step": 71
|
|
},
|
|
{
|
|
"epoch": 12.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.6428003311157227,
|
|
"eval_runtime": 0.822,
|
|
"eval_samples_per_second": 55.964,
|
|
"eval_steps_per_second": 2.433,
|
|
"step": 78
|
|
},
|
|
{
|
|
"epoch": 12.31,
|
|
"learning_rate": 4.824561403508772e-05,
|
|
"loss": 0.5145,
|
|
"step": 80
|
|
},
|
|
{
|
|
"epoch": 12.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.6024693250656128,
|
|
"eval_runtime": 0.8162,
|
|
"eval_samples_per_second": 56.361,
|
|
"eval_steps_per_second": 2.45,
|
|
"step": 84
|
|
},
|
|
{
|
|
"epoch": 13.85,
|
|
"learning_rate": 4.703947368421053e-05,
|
|
"loss": 0.379,
|
|
"step": 90
|
|
},
|
|
{
|
|
"epoch": 14.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.5621142387390137,
|
|
"eval_runtime": 0.8058,
|
|
"eval_samples_per_second": 57.084,
|
|
"eval_steps_per_second": 2.482,
|
|
"step": 91
|
|
},
|
|
{
|
|
"epoch": 14.92,
|
|
"eval_accuracy": 0.8478260869565217,
|
|
"eval_loss": 0.5298471450805664,
|
|
"eval_runtime": 0.8003,
|
|
"eval_samples_per_second": 57.479,
|
|
"eval_steps_per_second": 2.499,
|
|
"step": 97
|
|
},
|
|
{
|
|
"epoch": 15.38,
|
|
"learning_rate": 4.5833333333333334e-05,
|
|
"loss": 0.2942,
|
|
"step": 100
|
|
},
|
|
{
|
|
"epoch": 16.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.5791422128677368,
|
|
"eval_runtime": 0.8077,
|
|
"eval_samples_per_second": 56.953,
|
|
"eval_steps_per_second": 2.476,
|
|
"step": 104
|
|
},
|
|
{
|
|
"epoch": 16.92,
|
|
"learning_rate": 4.462719298245614e-05,
|
|
"loss": 0.2096,
|
|
"step": 110
|
|
},
|
|
{
|
|
"epoch": 16.92,
|
|
"eval_accuracy": 0.782608695652174,
|
|
"eval_loss": 0.5814288854598999,
|
|
"eval_runtime": 0.8643,
|
|
"eval_samples_per_second": 53.224,
|
|
"eval_steps_per_second": 2.314,
|
|
"step": 110
|
|
},
|
|
{
|
|
"epoch": 18.0,
|
|
"eval_accuracy": 0.717391304347826,
|
|
"eval_loss": 0.7828608751296997,
|
|
"eval_runtime": 0.8165,
|
|
"eval_samples_per_second": 56.341,
|
|
"eval_steps_per_second": 2.45,
|
|
"step": 117
|
|
},
|
|
{
|
|
"epoch": 18.46,
|
|
"learning_rate": 4.342105263157895e-05,
|
|
"loss": 0.2113,
|
|
"step": 120
|
|
},
|
|
{
|
|
"epoch": 18.92,
|
|
"eval_accuracy": 0.8478260869565217,
|
|
"eval_loss": 0.5657770037651062,
|
|
"eval_runtime": 0.8565,
|
|
"eval_samples_per_second": 53.708,
|
|
"eval_steps_per_second": 2.335,
|
|
"step": 123
|
|
},
|
|
{
|
|
"epoch": 20.0,
|
|
"learning_rate": 4.221491228070176e-05,
|
|
"loss": 0.2143,
|
|
"step": 130
|
|
},
|
|
{
|
|
"epoch": 20.0,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.7036240696907043,
|
|
"eval_runtime": 0.8255,
|
|
"eval_samples_per_second": 55.723,
|
|
"eval_steps_per_second": 2.423,
|
|
"step": 130
|
|
},
|
|
{
|
|
"epoch": 20.92,
|
|
"eval_accuracy": 0.782608695652174,
|
|
"eval_loss": 0.5923811197280884,
|
|
"eval_runtime": 0.8302,
|
|
"eval_samples_per_second": 55.408,
|
|
"eval_steps_per_second": 2.409,
|
|
"step": 136
|
|
},
|
|
{
|
|
"epoch": 21.54,
|
|
"learning_rate": 4.100877192982456e-05,
|
|
"loss": 0.1752,
|
|
"step": 140
|
|
},
|
|
{
|
|
"epoch": 22.0,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.6851876974105835,
|
|
"eval_runtime": 0.8226,
|
|
"eval_samples_per_second": 55.919,
|
|
"eval_steps_per_second": 2.431,
|
|
"step": 143
|
|
},
|
|
{
|
|
"epoch": 22.92,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.7237065434455872,
|
|
"eval_runtime": 0.7855,
|
|
"eval_samples_per_second": 58.561,
|
|
"eval_steps_per_second": 2.546,
|
|
"step": 149
|
|
},
|
|
{
|
|
"epoch": 23.08,
|
|
"learning_rate": 3.9802631578947374e-05,
|
|
"loss": 0.1238,
|
|
"step": 150
|
|
},
|
|
{
|
|
"epoch": 24.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.674297571182251,
|
|
"eval_runtime": 0.8164,
|
|
"eval_samples_per_second": 56.342,
|
|
"eval_steps_per_second": 2.45,
|
|
"step": 156
|
|
},
|
|
{
|
|
"epoch": 24.62,
|
|
"learning_rate": 3.859649122807018e-05,
|
|
"loss": 0.1401,
|
|
"step": 160
|
|
},
|
|
{
|
|
"epoch": 24.92,
|
|
"eval_accuracy": 0.6956521739130435,
|
|
"eval_loss": 0.8462918996810913,
|
|
"eval_runtime": 0.8553,
|
|
"eval_samples_per_second": 53.782,
|
|
"eval_steps_per_second": 2.338,
|
|
"step": 162
|
|
},
|
|
{
|
|
"epoch": 26.0,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.7871569991111755,
|
|
"eval_runtime": 0.8495,
|
|
"eval_samples_per_second": 54.151,
|
|
"eval_steps_per_second": 2.354,
|
|
"step": 169
|
|
},
|
|
{
|
|
"epoch": 26.15,
|
|
"learning_rate": 3.739035087719298e-05,
|
|
"loss": 0.1544,
|
|
"step": 170
|
|
},
|
|
{
|
|
"epoch": 26.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.5491929054260254,
|
|
"eval_runtime": 0.8006,
|
|
"eval_samples_per_second": 57.46,
|
|
"eval_steps_per_second": 2.498,
|
|
"step": 175
|
|
},
|
|
{
|
|
"epoch": 27.69,
|
|
"learning_rate": 3.618421052631579e-05,
|
|
"loss": 0.1163,
|
|
"step": 180
|
|
},
|
|
{
|
|
"epoch": 28.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.5755753517150879,
|
|
"eval_runtime": 0.7952,
|
|
"eval_samples_per_second": 57.85,
|
|
"eval_steps_per_second": 2.515,
|
|
"step": 182
|
|
},
|
|
{
|
|
"epoch": 28.92,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.7621129751205444,
|
|
"eval_runtime": 0.8004,
|
|
"eval_samples_per_second": 57.473,
|
|
"eval_steps_per_second": 2.499,
|
|
"step": 188
|
|
},
|
|
{
|
|
"epoch": 29.23,
|
|
"learning_rate": 3.49780701754386e-05,
|
|
"loss": 0.1121,
|
|
"step": 190
|
|
},
|
|
{
|
|
"epoch": 30.0,
|
|
"eval_accuracy": 0.782608695652174,
|
|
"eval_loss": 0.6971735954284668,
|
|
"eval_runtime": 0.8533,
|
|
"eval_samples_per_second": 53.91,
|
|
"eval_steps_per_second": 2.344,
|
|
"step": 195
|
|
},
|
|
{
|
|
"epoch": 30.77,
|
|
"learning_rate": 3.377192982456141e-05,
|
|
"loss": 0.1065,
|
|
"step": 200
|
|
},
|
|
{
|
|
"epoch": 30.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.5722712874412537,
|
|
"eval_runtime": 0.8172,
|
|
"eval_samples_per_second": 56.291,
|
|
"eval_steps_per_second": 2.447,
|
|
"step": 201
|
|
},
|
|
{
|
|
"epoch": 32.0,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.7502769231796265,
|
|
"eval_runtime": 0.82,
|
|
"eval_samples_per_second": 56.099,
|
|
"eval_steps_per_second": 2.439,
|
|
"step": 208
|
|
},
|
|
{
|
|
"epoch": 32.31,
|
|
"learning_rate": 3.256578947368421e-05,
|
|
"loss": 0.1021,
|
|
"step": 210
|
|
},
|
|
{
|
|
"epoch": 32.92,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.6127011775970459,
|
|
"eval_runtime": 0.8337,
|
|
"eval_samples_per_second": 55.178,
|
|
"eval_steps_per_second": 2.399,
|
|
"step": 214
|
|
},
|
|
{
|
|
"epoch": 33.85,
|
|
"learning_rate": 3.1359649122807015e-05,
|
|
"loss": 0.1048,
|
|
"step": 220
|
|
},
|
|
{
|
|
"epoch": 34.0,
|
|
"eval_accuracy": 0.8478260869565217,
|
|
"eval_loss": 0.5733683109283447,
|
|
"eval_runtime": 0.8175,
|
|
"eval_samples_per_second": 56.266,
|
|
"eval_steps_per_second": 2.446,
|
|
"step": 221
|
|
},
|
|
{
|
|
"epoch": 34.92,
|
|
"eval_accuracy": 0.8478260869565217,
|
|
"eval_loss": 0.5817247033119202,
|
|
"eval_runtime": 0.7923,
|
|
"eval_samples_per_second": 58.058,
|
|
"eval_steps_per_second": 2.524,
|
|
"step": 227
|
|
},
|
|
{
|
|
"epoch": 35.38,
|
|
"learning_rate": 3.0153508771929826e-05,
|
|
"loss": 0.0848,
|
|
"step": 230
|
|
},
|
|
{
|
|
"epoch": 36.0,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.5902915000915527,
|
|
"eval_runtime": 0.8146,
|
|
"eval_samples_per_second": 56.47,
|
|
"eval_steps_per_second": 2.455,
|
|
"step": 234
|
|
},
|
|
{
|
|
"epoch": 36.92,
|
|
"learning_rate": 2.894736842105263e-05,
|
|
"loss": 0.0769,
|
|
"step": 240
|
|
},
|
|
{
|
|
"epoch": 36.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.7073713541030884,
|
|
"eval_runtime": 0.8284,
|
|
"eval_samples_per_second": 55.526,
|
|
"eval_steps_per_second": 2.414,
|
|
"step": 240
|
|
},
|
|
{
|
|
"epoch": 38.0,
|
|
"eval_accuracy": 0.8478260869565217,
|
|
"eval_loss": 0.5835453271865845,
|
|
"eval_runtime": 0.8538,
|
|
"eval_samples_per_second": 53.878,
|
|
"eval_steps_per_second": 2.343,
|
|
"step": 247
|
|
},
|
|
{
|
|
"epoch": 38.46,
|
|
"learning_rate": 2.774122807017544e-05,
|
|
"loss": 0.0825,
|
|
"step": 250
|
|
},
|
|
{
|
|
"epoch": 38.92,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.6373018622398376,
|
|
"eval_runtime": 0.8412,
|
|
"eval_samples_per_second": 54.687,
|
|
"eval_steps_per_second": 2.378,
|
|
"step": 253
|
|
},
|
|
{
|
|
"epoch": 40.0,
|
|
"learning_rate": 2.6535087719298248e-05,
|
|
"loss": 0.0676,
|
|
"step": 260
|
|
},
|
|
{
|
|
"epoch": 40.0,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.6793442368507385,
|
|
"eval_runtime": 0.7973,
|
|
"eval_samples_per_second": 57.693,
|
|
"eval_steps_per_second": 2.508,
|
|
"step": 260
|
|
},
|
|
{
|
|
"epoch": 40.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.6555591225624084,
|
|
"eval_runtime": 0.8468,
|
|
"eval_samples_per_second": 54.321,
|
|
"eval_steps_per_second": 2.362,
|
|
"step": 266
|
|
},
|
|
{
|
|
"epoch": 41.54,
|
|
"learning_rate": 2.5328947368421052e-05,
|
|
"loss": 0.0703,
|
|
"step": 270
|
|
},
|
|
{
|
|
"epoch": 42.0,
|
|
"eval_accuracy": 0.8478260869565217,
|
|
"eval_loss": 0.632850170135498,
|
|
"eval_runtime": 0.8121,
|
|
"eval_samples_per_second": 56.646,
|
|
"eval_steps_per_second": 2.463,
|
|
"step": 273
|
|
},
|
|
{
|
|
"epoch": 42.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.68681401014328,
|
|
"eval_runtime": 0.8165,
|
|
"eval_samples_per_second": 56.337,
|
|
"eval_steps_per_second": 2.449,
|
|
"step": 279
|
|
},
|
|
{
|
|
"epoch": 43.08,
|
|
"learning_rate": 2.412280701754386e-05,
|
|
"loss": 0.0574,
|
|
"step": 280
|
|
},
|
|
{
|
|
"epoch": 44.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.5996745824813843,
|
|
"eval_runtime": 0.7976,
|
|
"eval_samples_per_second": 57.67,
|
|
"eval_steps_per_second": 2.507,
|
|
"step": 286
|
|
},
|
|
{
|
|
"epoch": 44.62,
|
|
"learning_rate": 2.2916666666666667e-05,
|
|
"loss": 0.0523,
|
|
"step": 290
|
|
},
|
|
{
|
|
"epoch": 44.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.5846443176269531,
|
|
"eval_runtime": 0.8488,
|
|
"eval_samples_per_second": 54.192,
|
|
"eval_steps_per_second": 2.356,
|
|
"step": 292
|
|
},
|
|
{
|
|
"epoch": 46.0,
|
|
"eval_accuracy": 0.8478260869565217,
|
|
"eval_loss": 0.721405029296875,
|
|
"eval_runtime": 0.8605,
|
|
"eval_samples_per_second": 53.459,
|
|
"eval_steps_per_second": 2.324,
|
|
"step": 299
|
|
},
|
|
{
|
|
"epoch": 46.15,
|
|
"learning_rate": 2.1710526315789474e-05,
|
|
"loss": 0.064,
|
|
"step": 300
|
|
},
|
|
{
|
|
"epoch": 46.92,
|
|
"eval_accuracy": 0.8478260869565217,
|
|
"eval_loss": 0.5229998230934143,
|
|
"eval_runtime": 0.8295,
|
|
"eval_samples_per_second": 55.454,
|
|
"eval_steps_per_second": 2.411,
|
|
"step": 305
|
|
},
|
|
{
|
|
"epoch": 47.69,
|
|
"learning_rate": 2.050438596491228e-05,
|
|
"loss": 0.082,
|
|
"step": 310
|
|
},
|
|
{
|
|
"epoch": 48.0,
|
|
"eval_accuracy": 0.8478260869565217,
|
|
"eval_loss": 0.5849720239639282,
|
|
"eval_runtime": 0.8195,
|
|
"eval_samples_per_second": 56.134,
|
|
"eval_steps_per_second": 2.441,
|
|
"step": 312
|
|
},
|
|
{
|
|
"epoch": 48.92,
|
|
"eval_accuracy": 0.8478260869565217,
|
|
"eval_loss": 0.634585976600647,
|
|
"eval_runtime": 0.8166,
|
|
"eval_samples_per_second": 56.328,
|
|
"eval_steps_per_second": 2.449,
|
|
"step": 318
|
|
},
|
|
{
|
|
"epoch": 49.23,
|
|
"learning_rate": 1.929824561403509e-05,
|
|
"loss": 0.0694,
|
|
"step": 320
|
|
},
|
|
{
|
|
"epoch": 50.0,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.6389460563659668,
|
|
"eval_runtime": 0.806,
|
|
"eval_samples_per_second": 57.075,
|
|
"eval_steps_per_second": 2.482,
|
|
"step": 325
|
|
},
|
|
{
|
|
"epoch": 50.77,
|
|
"learning_rate": 1.8092105263157896e-05,
|
|
"loss": 0.0462,
|
|
"step": 330
|
|
},
|
|
{
|
|
"epoch": 50.92,
|
|
"eval_accuracy": 0.8478260869565217,
|
|
"eval_loss": 0.5813049077987671,
|
|
"eval_runtime": 0.8224,
|
|
"eval_samples_per_second": 55.932,
|
|
"eval_steps_per_second": 2.432,
|
|
"step": 331
|
|
},
|
|
{
|
|
"epoch": 52.0,
|
|
"eval_accuracy": 0.8478260869565217,
|
|
"eval_loss": 0.5792219042778015,
|
|
"eval_runtime": 0.791,
|
|
"eval_samples_per_second": 58.152,
|
|
"eval_steps_per_second": 2.528,
|
|
"step": 338
|
|
},
|
|
{
|
|
"epoch": 52.31,
|
|
"learning_rate": 1.6885964912280704e-05,
|
|
"loss": 0.044,
|
|
"step": 340
|
|
},
|
|
{
|
|
"epoch": 52.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.5723995566368103,
|
|
"eval_runtime": 0.8166,
|
|
"eval_samples_per_second": 56.33,
|
|
"eval_steps_per_second": 2.449,
|
|
"step": 344
|
|
},
|
|
{
|
|
"epoch": 53.85,
|
|
"learning_rate": 1.5679824561403508e-05,
|
|
"loss": 0.0538,
|
|
"step": 350
|
|
},
|
|
{
|
|
"epoch": 54.0,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.6293544769287109,
|
|
"eval_runtime": 0.8204,
|
|
"eval_samples_per_second": 56.069,
|
|
"eval_steps_per_second": 2.438,
|
|
"step": 351
|
|
},
|
|
{
|
|
"epoch": 54.92,
|
|
"eval_accuracy": 0.8695652173913043,
|
|
"eval_loss": 0.5741947889328003,
|
|
"eval_runtime": 0.8245,
|
|
"eval_samples_per_second": 55.794,
|
|
"eval_steps_per_second": 2.426,
|
|
"step": 357
|
|
},
|
|
{
|
|
"epoch": 55.38,
|
|
"learning_rate": 1.4473684210526315e-05,
|
|
"loss": 0.0455,
|
|
"step": 360
|
|
},
|
|
{
|
|
"epoch": 56.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.695148229598999,
|
|
"eval_runtime": 0.7996,
|
|
"eval_samples_per_second": 57.526,
|
|
"eval_steps_per_second": 2.501,
|
|
"step": 364
|
|
},
|
|
{
|
|
"epoch": 56.92,
|
|
"learning_rate": 1.3267543859649124e-05,
|
|
"loss": 0.0537,
|
|
"step": 370
|
|
},
|
|
{
|
|
"epoch": 56.92,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.6457701325416565,
|
|
"eval_runtime": 0.817,
|
|
"eval_samples_per_second": 56.302,
|
|
"eval_steps_per_second": 2.448,
|
|
"step": 370
|
|
},
|
|
{
|
|
"epoch": 58.0,
|
|
"eval_accuracy": 0.8478260869565217,
|
|
"eval_loss": 0.6258807182312012,
|
|
"eval_runtime": 0.839,
|
|
"eval_samples_per_second": 54.83,
|
|
"eval_steps_per_second": 2.384,
|
|
"step": 377
|
|
},
|
|
{
|
|
"epoch": 58.46,
|
|
"learning_rate": 1.206140350877193e-05,
|
|
"loss": 0.038,
|
|
"step": 380
|
|
},
|
|
{
|
|
"epoch": 58.92,
|
|
"eval_accuracy": 0.8478260869565217,
|
|
"eval_loss": 0.6748208403587341,
|
|
"eval_runtime": 0.8591,
|
|
"eval_samples_per_second": 53.545,
|
|
"eval_steps_per_second": 2.328,
|
|
"step": 383
|
|
},
|
|
{
|
|
"epoch": 60.0,
|
|
"learning_rate": 1.0855263157894737e-05,
|
|
"loss": 0.039,
|
|
"step": 390
|
|
},
|
|
{
|
|
"epoch": 60.0,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.7235903739929199,
|
|
"eval_runtime": 0.817,
|
|
"eval_samples_per_second": 56.301,
|
|
"eval_steps_per_second": 2.448,
|
|
"step": 390
|
|
},
|
|
{
|
|
"epoch": 60.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.775827169418335,
|
|
"eval_runtime": 0.7981,
|
|
"eval_samples_per_second": 57.64,
|
|
"eval_steps_per_second": 2.506,
|
|
"step": 396
|
|
},
|
|
{
|
|
"epoch": 61.54,
|
|
"learning_rate": 9.649122807017545e-06,
|
|
"loss": 0.0304,
|
|
"step": 400
|
|
},
|
|
{
|
|
"epoch": 62.0,
|
|
"eval_accuracy": 0.7608695652173914,
|
|
"eval_loss": 0.7253482937812805,
|
|
"eval_runtime": 0.8039,
|
|
"eval_samples_per_second": 57.22,
|
|
"eval_steps_per_second": 2.488,
|
|
"step": 403
|
|
},
|
|
{
|
|
"epoch": 62.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.7512924075126648,
|
|
"eval_runtime": 0.7986,
|
|
"eval_samples_per_second": 57.602,
|
|
"eval_steps_per_second": 2.504,
|
|
"step": 409
|
|
},
|
|
{
|
|
"epoch": 63.08,
|
|
"learning_rate": 8.442982456140352e-06,
|
|
"loss": 0.051,
|
|
"step": 410
|
|
},
|
|
{
|
|
"epoch": 64.0,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.7546844482421875,
|
|
"eval_runtime": 0.8159,
|
|
"eval_samples_per_second": 56.378,
|
|
"eval_steps_per_second": 2.451,
|
|
"step": 416
|
|
},
|
|
{
|
|
"epoch": 64.62,
|
|
"learning_rate": 7.2368421052631575e-06,
|
|
"loss": 0.0355,
|
|
"step": 420
|
|
},
|
|
{
|
|
"epoch": 64.92,
|
|
"eval_accuracy": 0.782608695652174,
|
|
"eval_loss": 0.8115072846412659,
|
|
"eval_runtime": 0.9032,
|
|
"eval_samples_per_second": 50.928,
|
|
"eval_steps_per_second": 2.214,
|
|
"step": 422
|
|
},
|
|
{
|
|
"epoch": 66.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.7768033742904663,
|
|
"eval_runtime": 0.8047,
|
|
"eval_samples_per_second": 57.165,
|
|
"eval_steps_per_second": 2.485,
|
|
"step": 429
|
|
},
|
|
{
|
|
"epoch": 66.15,
|
|
"learning_rate": 6.030701754385965e-06,
|
|
"loss": 0.0435,
|
|
"step": 430
|
|
},
|
|
{
|
|
"epoch": 66.92,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.7829141020774841,
|
|
"eval_runtime": 0.847,
|
|
"eval_samples_per_second": 54.308,
|
|
"eval_steps_per_second": 2.361,
|
|
"step": 435
|
|
},
|
|
{
|
|
"epoch": 67.69,
|
|
"learning_rate": 4.824561403508772e-06,
|
|
"loss": 0.0313,
|
|
"step": 440
|
|
},
|
|
{
|
|
"epoch": 68.0,
|
|
"eval_accuracy": 0.8043478260869565,
|
|
"eval_loss": 0.7786911129951477,
|
|
"eval_runtime": 0.8096,
|
|
"eval_samples_per_second": 56.815,
|
|
"eval_steps_per_second": 2.47,
|
|
"step": 442
|
|
},
|
|
{
|
|
"epoch": 68.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.7720622420310974,
|
|
"eval_runtime": 0.7835,
|
|
"eval_samples_per_second": 58.708,
|
|
"eval_steps_per_second": 2.553,
|
|
"step": 448
|
|
},
|
|
{
|
|
"epoch": 69.23,
|
|
"learning_rate": 3.6184210526315788e-06,
|
|
"loss": 0.0378,
|
|
"step": 450
|
|
},
|
|
{
|
|
"epoch": 70.0,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.7671762704849243,
|
|
"eval_runtime": 0.8076,
|
|
"eval_samples_per_second": 56.962,
|
|
"eval_steps_per_second": 2.477,
|
|
"step": 455
|
|
},
|
|
{
|
|
"epoch": 70.77,
|
|
"learning_rate": 2.412280701754386e-06,
|
|
"loss": 0.0339,
|
|
"step": 460
|
|
},
|
|
{
|
|
"epoch": 70.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.763389527797699,
|
|
"eval_runtime": 0.8002,
|
|
"eval_samples_per_second": 57.483,
|
|
"eval_steps_per_second": 2.499,
|
|
"step": 461
|
|
},
|
|
{
|
|
"epoch": 72.0,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.7615298628807068,
|
|
"eval_runtime": 0.7982,
|
|
"eval_samples_per_second": 57.632,
|
|
"eval_steps_per_second": 2.506,
|
|
"step": 468
|
|
},
|
|
{
|
|
"epoch": 72.31,
|
|
"learning_rate": 1.206140350877193e-06,
|
|
"loss": 0.0311,
|
|
"step": 470
|
|
},
|
|
{
|
|
"epoch": 72.92,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.7604991793632507,
|
|
"eval_runtime": 0.8004,
|
|
"eval_samples_per_second": 57.47,
|
|
"eval_steps_per_second": 2.499,
|
|
"step": 474
|
|
},
|
|
{
|
|
"epoch": 73.85,
|
|
"learning_rate": 0.0,
|
|
"loss": 0.0302,
|
|
"step": 480
|
|
},
|
|
{
|
|
"epoch": 73.85,
|
|
"eval_accuracy": 0.8260869565217391,
|
|
"eval_loss": 0.7603499293327332,
|
|
"eval_runtime": 0.7863,
|
|
"eval_samples_per_second": 58.503,
|
|
"eval_steps_per_second": 2.544,
|
|
"step": 480
|
|
},
|
|
{
|
|
"epoch": 73.85,
|
|
"step": 480,
|
|
"total_flos": 4.687651970153865e+18,
|
|
"train_loss": 0.24467987176030875,
|
|
"train_runtime": 1043.0523,
|
|
"train_samples_per_second": 62.816,
|
|
"train_steps_per_second": 0.46
|
|
}
|
|
],
|
|
"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
|
|
}
|
|
|