|
{
|
|
"best_metric": 0.8387096774193549,
|
|
"best_model_checkpoint": "beit-base-patch16-224-OT-alt\\checkpoint-198",
|
|
"epoch": 36.36363636363637,
|
|
"eval_steps": 500,
|
|
"global_step": 200,
|
|
"is_hyper_param_search": false,
|
|
"is_local_process_zero": true,
|
|
"is_world_process_zero": true,
|
|
"log_history": [
|
|
{
|
|
"epoch": 0.91,
|
|
"eval_accuracy": 0.14516129032258066,
|
|
"eval_loss": 1.7602910995483398,
|
|
"eval_runtime": 2.2295,
|
|
"eval_samples_per_second": 27.809,
|
|
"eval_steps_per_second": 1.794,
|
|
"step": 5
|
|
},
|
|
{
|
|
"epoch": 1.82,
|
|
"learning_rate": 1.9e-05,
|
|
"loss": 1.7693,
|
|
"step": 10
|
|
},
|
|
{
|
|
"epoch": 2.0,
|
|
"eval_accuracy": 0.14516129032258066,
|
|
"eval_loss": 1.6916192770004272,
|
|
"eval_runtime": 2.248,
|
|
"eval_samples_per_second": 27.579,
|
|
"eval_steps_per_second": 1.779,
|
|
"step": 11
|
|
},
|
|
{
|
|
"epoch": 2.91,
|
|
"eval_accuracy": 0.14516129032258066,
|
|
"eval_loss": 1.5752112865447998,
|
|
"eval_runtime": 2.2645,
|
|
"eval_samples_per_second": 27.379,
|
|
"eval_steps_per_second": 1.766,
|
|
"step": 16
|
|
},
|
|
{
|
|
"epoch": 3.64,
|
|
"learning_rate": 3.8e-05,
|
|
"loss": 1.6261,
|
|
"step": 20
|
|
},
|
|
{
|
|
"epoch": 4.0,
|
|
"eval_accuracy": 0.14516129032258066,
|
|
"eval_loss": 1.4015283584594727,
|
|
"eval_runtime": 2.295,
|
|
"eval_samples_per_second": 27.015,
|
|
"eval_steps_per_second": 1.743,
|
|
"step": 22
|
|
},
|
|
{
|
|
"epoch": 4.91,
|
|
"eval_accuracy": 0.14516129032258066,
|
|
"eval_loss": 1.2889776229858398,
|
|
"eval_runtime": 2.279,
|
|
"eval_samples_per_second": 27.205,
|
|
"eval_steps_per_second": 1.755,
|
|
"step": 27
|
|
},
|
|
{
|
|
"epoch": 5.45,
|
|
"learning_rate": 3.588888888888889e-05,
|
|
"loss": 1.3534,
|
|
"step": 30
|
|
},
|
|
{
|
|
"epoch": 6.0,
|
|
"eval_accuracy": 0.3709677419354839,
|
|
"eval_loss": 1.2128400802612305,
|
|
"eval_runtime": 2.3157,
|
|
"eval_samples_per_second": 26.774,
|
|
"eval_steps_per_second": 1.727,
|
|
"step": 33
|
|
},
|
|
{
|
|
"epoch": 6.91,
|
|
"eval_accuracy": 0.4032258064516129,
|
|
"eval_loss": 1.1418391466140747,
|
|
"eval_runtime": 2.2485,
|
|
"eval_samples_per_second": 27.573,
|
|
"eval_steps_per_second": 1.779,
|
|
"step": 38
|
|
},
|
|
{
|
|
"epoch": 7.27,
|
|
"learning_rate": 3.3777777777777776e-05,
|
|
"loss": 1.1661,
|
|
"step": 40
|
|
},
|
|
{
|
|
"epoch": 8.0,
|
|
"eval_accuracy": 0.46774193548387094,
|
|
"eval_loss": 1.0726869106292725,
|
|
"eval_runtime": 2.247,
|
|
"eval_samples_per_second": 27.592,
|
|
"eval_steps_per_second": 1.78,
|
|
"step": 44
|
|
},
|
|
{
|
|
"epoch": 8.91,
|
|
"eval_accuracy": 0.4032258064516129,
|
|
"eval_loss": 1.0908629894256592,
|
|
"eval_runtime": 2.288,
|
|
"eval_samples_per_second": 27.097,
|
|
"eval_steps_per_second": 1.748,
|
|
"step": 49
|
|
},
|
|
{
|
|
"epoch": 9.09,
|
|
"learning_rate": 3.166666666666667e-05,
|
|
"loss": 1.0344,
|
|
"step": 50
|
|
},
|
|
{
|
|
"epoch": 10.0,
|
|
"eval_accuracy": 0.6129032258064516,
|
|
"eval_loss": 0.9719263911247253,
|
|
"eval_runtime": 2.2685,
|
|
"eval_samples_per_second": 27.33,
|
|
"eval_steps_per_second": 1.763,
|
|
"step": 55
|
|
},
|
|
{
|
|
"epoch": 10.91,
|
|
"learning_rate": 2.9555555555555556e-05,
|
|
"loss": 0.9604,
|
|
"step": 60
|
|
},
|
|
{
|
|
"epoch": 10.91,
|
|
"eval_accuracy": 0.6451612903225806,
|
|
"eval_loss": 0.9922870397567749,
|
|
"eval_runtime": 2.249,
|
|
"eval_samples_per_second": 27.567,
|
|
"eval_steps_per_second": 1.779,
|
|
"step": 60
|
|
},
|
|
{
|
|
"epoch": 12.0,
|
|
"eval_accuracy": 0.6290322580645161,
|
|
"eval_loss": 0.9554464221000671,
|
|
"eval_runtime": 2.3255,
|
|
"eval_samples_per_second": 26.661,
|
|
"eval_steps_per_second": 1.72,
|
|
"step": 66
|
|
},
|
|
{
|
|
"epoch": 12.73,
|
|
"learning_rate": 2.7444444444444447e-05,
|
|
"loss": 0.8477,
|
|
"step": 70
|
|
},
|
|
{
|
|
"epoch": 12.91,
|
|
"eval_accuracy": 0.6774193548387096,
|
|
"eval_loss": 0.9155737161636353,
|
|
"eval_runtime": 2.259,
|
|
"eval_samples_per_second": 27.445,
|
|
"eval_steps_per_second": 1.771,
|
|
"step": 71
|
|
},
|
|
{
|
|
"epoch": 14.0,
|
|
"eval_accuracy": 0.7096774193548387,
|
|
"eval_loss": 0.833889901638031,
|
|
"eval_runtime": 2.3145,
|
|
"eval_samples_per_second": 26.788,
|
|
"eval_steps_per_second": 1.728,
|
|
"step": 77
|
|
},
|
|
{
|
|
"epoch": 14.55,
|
|
"learning_rate": 2.5333333333333334e-05,
|
|
"loss": 0.7727,
|
|
"step": 80
|
|
},
|
|
{
|
|
"epoch": 14.91,
|
|
"eval_accuracy": 0.7258064516129032,
|
|
"eval_loss": 0.7850545048713684,
|
|
"eval_runtime": 2.2951,
|
|
"eval_samples_per_second": 27.015,
|
|
"eval_steps_per_second": 1.743,
|
|
"step": 82
|
|
},
|
|
{
|
|
"epoch": 16.0,
|
|
"eval_accuracy": 0.7258064516129032,
|
|
"eval_loss": 0.7993963956832886,
|
|
"eval_runtime": 2.2405,
|
|
"eval_samples_per_second": 27.672,
|
|
"eval_steps_per_second": 1.785,
|
|
"step": 88
|
|
},
|
|
{
|
|
"epoch": 16.36,
|
|
"learning_rate": 2.3222222222222224e-05,
|
|
"loss": 0.6714,
|
|
"step": 90
|
|
},
|
|
{
|
|
"epoch": 16.91,
|
|
"eval_accuracy": 0.6290322580645161,
|
|
"eval_loss": 0.8245651721954346,
|
|
"eval_runtime": 2.1735,
|
|
"eval_samples_per_second": 28.525,
|
|
"eval_steps_per_second": 1.84,
|
|
"step": 93
|
|
},
|
|
{
|
|
"epoch": 18.0,
|
|
"eval_accuracy": 0.7096774193548387,
|
|
"eval_loss": 0.738938570022583,
|
|
"eval_runtime": 2.2195,
|
|
"eval_samples_per_second": 27.934,
|
|
"eval_steps_per_second": 1.802,
|
|
"step": 99
|
|
},
|
|
{
|
|
"epoch": 18.18,
|
|
"learning_rate": 2.1111111111111114e-05,
|
|
"loss": 0.6143,
|
|
"step": 100
|
|
},
|
|
{
|
|
"epoch": 18.91,
|
|
"eval_accuracy": 0.6451612903225806,
|
|
"eval_loss": 0.8202147483825684,
|
|
"eval_runtime": 2.2165,
|
|
"eval_samples_per_second": 27.972,
|
|
"eval_steps_per_second": 1.805,
|
|
"step": 104
|
|
},
|
|
{
|
|
"epoch": 20.0,
|
|
"learning_rate": 1.9e-05,
|
|
"loss": 0.5398,
|
|
"step": 110
|
|
},
|
|
{
|
|
"epoch": 20.0,
|
|
"eval_accuracy": 0.7741935483870968,
|
|
"eval_loss": 0.6295467615127563,
|
|
"eval_runtime": 2.241,
|
|
"eval_samples_per_second": 27.666,
|
|
"eval_steps_per_second": 1.785,
|
|
"step": 110
|
|
},
|
|
{
|
|
"epoch": 20.91,
|
|
"eval_accuracy": 0.7580645161290323,
|
|
"eval_loss": 0.6735957264900208,
|
|
"eval_runtime": 2.3026,
|
|
"eval_samples_per_second": 26.926,
|
|
"eval_steps_per_second": 1.737,
|
|
"step": 115
|
|
},
|
|
{
|
|
"epoch": 21.82,
|
|
"learning_rate": 1.6888888888888888e-05,
|
|
"loss": 0.4958,
|
|
"step": 120
|
|
},
|
|
{
|
|
"epoch": 22.0,
|
|
"eval_accuracy": 0.7903225806451613,
|
|
"eval_loss": 0.6217902302742004,
|
|
"eval_runtime": 2.2946,
|
|
"eval_samples_per_second": 27.02,
|
|
"eval_steps_per_second": 1.743,
|
|
"step": 121
|
|
},
|
|
{
|
|
"epoch": 22.91,
|
|
"eval_accuracy": 0.7741935483870968,
|
|
"eval_loss": 0.6400670409202576,
|
|
"eval_runtime": 2.217,
|
|
"eval_samples_per_second": 27.965,
|
|
"eval_steps_per_second": 1.804,
|
|
"step": 126
|
|
},
|
|
{
|
|
"epoch": 23.64,
|
|
"learning_rate": 1.4777777777777778e-05,
|
|
"loss": 0.4561,
|
|
"step": 130
|
|
},
|
|
{
|
|
"epoch": 24.0,
|
|
"eval_accuracy": 0.7258064516129032,
|
|
"eval_loss": 0.6640270352363586,
|
|
"eval_runtime": 2.199,
|
|
"eval_samples_per_second": 28.194,
|
|
"eval_steps_per_second": 1.819,
|
|
"step": 132
|
|
},
|
|
{
|
|
"epoch": 24.91,
|
|
"eval_accuracy": 0.7741935483870968,
|
|
"eval_loss": 0.6009158492088318,
|
|
"eval_runtime": 2.2165,
|
|
"eval_samples_per_second": 27.972,
|
|
"eval_steps_per_second": 1.805,
|
|
"step": 137
|
|
},
|
|
{
|
|
"epoch": 25.45,
|
|
"learning_rate": 1.2666666666666667e-05,
|
|
"loss": 0.4149,
|
|
"step": 140
|
|
},
|
|
{
|
|
"epoch": 26.0,
|
|
"eval_accuracy": 0.8064516129032258,
|
|
"eval_loss": 0.5619057416915894,
|
|
"eval_runtime": 2.2799,
|
|
"eval_samples_per_second": 27.194,
|
|
"eval_steps_per_second": 1.754,
|
|
"step": 143
|
|
},
|
|
{
|
|
"epoch": 26.91,
|
|
"eval_accuracy": 0.8064516129032258,
|
|
"eval_loss": 0.5118472576141357,
|
|
"eval_runtime": 2.1675,
|
|
"eval_samples_per_second": 28.604,
|
|
"eval_steps_per_second": 1.845,
|
|
"step": 148
|
|
},
|
|
{
|
|
"epoch": 27.27,
|
|
"learning_rate": 1.0555555555555557e-05,
|
|
"loss": 0.3965,
|
|
"step": 150
|
|
},
|
|
{
|
|
"epoch": 28.0,
|
|
"eval_accuracy": 0.8064516129032258,
|
|
"eval_loss": 0.5682212114334106,
|
|
"eval_runtime": 2.2446,
|
|
"eval_samples_per_second": 27.622,
|
|
"eval_steps_per_second": 1.782,
|
|
"step": 154
|
|
},
|
|
{
|
|
"epoch": 28.91,
|
|
"eval_accuracy": 0.8064516129032258,
|
|
"eval_loss": 0.5514592528343201,
|
|
"eval_runtime": 2.2005,
|
|
"eval_samples_per_second": 28.175,
|
|
"eval_steps_per_second": 1.818,
|
|
"step": 159
|
|
},
|
|
{
|
|
"epoch": 29.09,
|
|
"learning_rate": 8.444444444444444e-06,
|
|
"loss": 0.4219,
|
|
"step": 160
|
|
},
|
|
{
|
|
"epoch": 30.0,
|
|
"eval_accuracy": 0.7096774193548387,
|
|
"eval_loss": 0.7044903039932251,
|
|
"eval_runtime": 2.2835,
|
|
"eval_samples_per_second": 27.151,
|
|
"eval_steps_per_second": 1.752,
|
|
"step": 165
|
|
},
|
|
{
|
|
"epoch": 30.91,
|
|
"learning_rate": 6.333333333333333e-06,
|
|
"loss": 0.3939,
|
|
"step": 170
|
|
},
|
|
{
|
|
"epoch": 30.91,
|
|
"eval_accuracy": 0.8064516129032258,
|
|
"eval_loss": 0.5711750984191895,
|
|
"eval_runtime": 2.2085,
|
|
"eval_samples_per_second": 28.073,
|
|
"eval_steps_per_second": 1.811,
|
|
"step": 170
|
|
},
|
|
{
|
|
"epoch": 32.0,
|
|
"eval_accuracy": 0.8064516129032258,
|
|
"eval_loss": 0.5857284069061279,
|
|
"eval_runtime": 2.3796,
|
|
"eval_samples_per_second": 26.055,
|
|
"eval_steps_per_second": 1.681,
|
|
"step": 176
|
|
},
|
|
{
|
|
"epoch": 32.73,
|
|
"learning_rate": 4.222222222222222e-06,
|
|
"loss": 0.3598,
|
|
"step": 180
|
|
},
|
|
{
|
|
"epoch": 32.91,
|
|
"eval_accuracy": 0.8064516129032258,
|
|
"eval_loss": 0.5539482235908508,
|
|
"eval_runtime": 2.3201,
|
|
"eval_samples_per_second": 26.724,
|
|
"eval_steps_per_second": 1.724,
|
|
"step": 181
|
|
},
|
|
{
|
|
"epoch": 34.0,
|
|
"eval_accuracy": 0.8225806451612904,
|
|
"eval_loss": 0.5470647215843201,
|
|
"eval_runtime": 2.1645,
|
|
"eval_samples_per_second": 28.644,
|
|
"eval_steps_per_second": 1.848,
|
|
"step": 187
|
|
},
|
|
{
|
|
"epoch": 34.55,
|
|
"learning_rate": 2.111111111111111e-06,
|
|
"loss": 0.3613,
|
|
"step": 190
|
|
},
|
|
{
|
|
"epoch": 34.91,
|
|
"eval_accuracy": 0.8225806451612904,
|
|
"eval_loss": 0.5407957434654236,
|
|
"eval_runtime": 2.233,
|
|
"eval_samples_per_second": 27.765,
|
|
"eval_steps_per_second": 1.791,
|
|
"step": 192
|
|
},
|
|
{
|
|
"epoch": 36.0,
|
|
"eval_accuracy": 0.8387096774193549,
|
|
"eval_loss": 0.5388934016227722,
|
|
"eval_runtime": 2.3576,
|
|
"eval_samples_per_second": 26.298,
|
|
"eval_steps_per_second": 1.697,
|
|
"step": 198
|
|
},
|
|
{
|
|
"epoch": 36.36,
|
|
"learning_rate": 0.0,
|
|
"loss": 0.3748,
|
|
"step": 200
|
|
},
|
|
{
|
|
"epoch": 36.36,
|
|
"eval_accuracy": 0.8387096774193549,
|
|
"eval_loss": 0.538964569568634,
|
|
"eval_runtime": 2.198,
|
|
"eval_samples_per_second": 28.207,
|
|
"eval_steps_per_second": 1.82,
|
|
"step": 200
|
|
},
|
|
{
|
|
"epoch": 36.36,
|
|
"step": 200,
|
|
"total_flos": 9.859141601338982e+17,
|
|
"train_loss": 0.7515219366550445,
|
|
"train_runtime": 697.4947,
|
|
"train_samples_per_second": 20.072,
|
|
"train_steps_per_second": 0.287
|
|
}
|
|
],
|
|
"logging_steps": 10,
|
|
"max_steps": 200,
|
|
"num_input_tokens_seen": 0,
|
|
"num_train_epochs": 40,
|
|
"save_steps": 500,
|
|
"total_flos": 9.859141601338982e+17,
|
|
"train_batch_size": 16,
|
|
"trial_name": null,
|
|
"trial_params": null
|
|
}
|
|
|