gcperk20's picture
Training in progress, epoch 0
7e9fb3b
raw
history blame contribute delete
No virus
10.3 kB
{
"best_metric": 0.8493150684931506,
"best_model_checkpoint": "swin-base-patch4-window7-224-finetuned-piid/checkpoint-348",
"epoch": 19.51219512195122,
"eval_steps": 500,
"global_step": 400,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.49,
"learning_rate": 1.25e-05,
"loss": 1.4202,
"step": 10
},
{
"epoch": 0.98,
"learning_rate": 2.5e-05,
"loss": 1.1815,
"step": 20
},
{
"epoch": 0.98,
"eval_accuracy": 0.5251141552511416,
"eval_loss": 1.0441278219223022,
"eval_runtime": 2.969,
"eval_samples_per_second": 73.762,
"eval_steps_per_second": 9.431,
"step": 20
},
{
"epoch": 1.46,
"learning_rate": 3.7500000000000003e-05,
"loss": 0.8542,
"step": 30
},
{
"epoch": 1.95,
"learning_rate": 5e-05,
"loss": 0.6548,
"step": 40
},
{
"epoch": 2.0,
"eval_accuracy": 0.639269406392694,
"eval_loss": 0.8150126934051514,
"eval_runtime": 2.9105,
"eval_samples_per_second": 75.245,
"eval_steps_per_second": 9.62,
"step": 41
},
{
"epoch": 2.44,
"learning_rate": 4.8611111111111115e-05,
"loss": 0.51,
"step": 50
},
{
"epoch": 2.93,
"learning_rate": 4.722222222222222e-05,
"loss": 0.6083,
"step": 60
},
{
"epoch": 2.98,
"eval_accuracy": 0.6986301369863014,
"eval_loss": 0.6395346522331238,
"eval_runtime": 2.9853,
"eval_samples_per_second": 73.36,
"eval_steps_per_second": 9.379,
"step": 61
},
{
"epoch": 3.41,
"learning_rate": 4.5833333333333334e-05,
"loss": 0.4977,
"step": 70
},
{
"epoch": 3.9,
"learning_rate": 4.4444444444444447e-05,
"loss": 0.4925,
"step": 80
},
{
"epoch": 4.0,
"eval_accuracy": 0.680365296803653,
"eval_loss": 0.6272767782211304,
"eval_runtime": 3.0039,
"eval_samples_per_second": 72.904,
"eval_steps_per_second": 9.321,
"step": 82
},
{
"epoch": 4.39,
"learning_rate": 4.305555555555556e-05,
"loss": 0.5078,
"step": 90
},
{
"epoch": 4.88,
"learning_rate": 4.166666666666667e-05,
"loss": 0.4448,
"step": 100
},
{
"epoch": 4.98,
"eval_accuracy": 0.817351598173516,
"eval_loss": 0.48121878504753113,
"eval_runtime": 3.0486,
"eval_samples_per_second": 71.836,
"eval_steps_per_second": 9.185,
"step": 102
},
{
"epoch": 5.37,
"learning_rate": 4.027777777777778e-05,
"loss": 0.4302,
"step": 110
},
{
"epoch": 5.85,
"learning_rate": 3.888888888888889e-05,
"loss": 0.3387,
"step": 120
},
{
"epoch": 6.0,
"eval_accuracy": 0.7945205479452054,
"eval_loss": 0.586761474609375,
"eval_runtime": 3.0271,
"eval_samples_per_second": 72.346,
"eval_steps_per_second": 9.25,
"step": 123
},
{
"epoch": 6.34,
"learning_rate": 3.7500000000000003e-05,
"loss": 0.3207,
"step": 130
},
{
"epoch": 6.83,
"learning_rate": 3.611111111111111e-05,
"loss": 0.2622,
"step": 140
},
{
"epoch": 6.98,
"eval_accuracy": 0.726027397260274,
"eval_loss": 0.7868249416351318,
"eval_runtime": 3.0111,
"eval_samples_per_second": 72.731,
"eval_steps_per_second": 9.299,
"step": 143
},
{
"epoch": 7.32,
"learning_rate": 3.472222222222222e-05,
"loss": 0.3422,
"step": 150
},
{
"epoch": 7.8,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.2656,
"step": 160
},
{
"epoch": 8.0,
"eval_accuracy": 0.8127853881278538,
"eval_loss": 0.4432077705860138,
"eval_runtime": 3.1504,
"eval_samples_per_second": 69.514,
"eval_steps_per_second": 8.888,
"step": 164
},
{
"epoch": 8.29,
"learning_rate": 3.194444444444444e-05,
"loss": 0.2049,
"step": 170
},
{
"epoch": 8.78,
"learning_rate": 3.055555555555556e-05,
"loss": 0.2259,
"step": 180
},
{
"epoch": 8.98,
"eval_accuracy": 0.7488584474885844,
"eval_loss": 0.6553168892860413,
"eval_runtime": 3.0029,
"eval_samples_per_second": 72.929,
"eval_steps_per_second": 9.324,
"step": 184
},
{
"epoch": 9.27,
"learning_rate": 2.916666666666667e-05,
"loss": 0.239,
"step": 190
},
{
"epoch": 9.76,
"learning_rate": 2.777777777777778e-05,
"loss": 0.1997,
"step": 200
},
{
"epoch": 10.0,
"eval_accuracy": 0.7853881278538812,
"eval_loss": 0.5142815709114075,
"eval_runtime": 3.172,
"eval_samples_per_second": 69.041,
"eval_steps_per_second": 8.827,
"step": 205
},
{
"epoch": 10.24,
"learning_rate": 2.6388888888888892e-05,
"loss": 0.1559,
"step": 210
},
{
"epoch": 10.73,
"learning_rate": 2.5e-05,
"loss": 0.1892,
"step": 220
},
{
"epoch": 10.98,
"eval_accuracy": 0.7945205479452054,
"eval_loss": 0.5656914114952087,
"eval_runtime": 3.0489,
"eval_samples_per_second": 71.829,
"eval_steps_per_second": 9.184,
"step": 225
},
{
"epoch": 11.22,
"learning_rate": 2.361111111111111e-05,
"loss": 0.1942,
"step": 230
},
{
"epoch": 11.71,
"learning_rate": 2.2222222222222223e-05,
"loss": 0.1522,
"step": 240
},
{
"epoch": 12.0,
"eval_accuracy": 0.7579908675799086,
"eval_loss": 0.7339126467704773,
"eval_runtime": 3.1764,
"eval_samples_per_second": 68.946,
"eval_steps_per_second": 8.815,
"step": 246
},
{
"epoch": 12.2,
"learning_rate": 2.0833333333333336e-05,
"loss": 0.1607,
"step": 250
},
{
"epoch": 12.68,
"learning_rate": 1.9444444444444445e-05,
"loss": 0.1309,
"step": 260
},
{
"epoch": 12.98,
"eval_accuracy": 0.817351598173516,
"eval_loss": 0.6064341068267822,
"eval_runtime": 3.034,
"eval_samples_per_second": 72.182,
"eval_steps_per_second": 9.229,
"step": 266
},
{
"epoch": 13.17,
"learning_rate": 1.8055555555555555e-05,
"loss": 0.1803,
"step": 270
},
{
"epoch": 13.66,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.1482,
"step": 280
},
{
"epoch": 14.0,
"eval_accuracy": 0.8127853881278538,
"eval_loss": 0.5874872207641602,
"eval_runtime": 3.1935,
"eval_samples_per_second": 68.576,
"eval_steps_per_second": 8.768,
"step": 287
},
{
"epoch": 14.15,
"learning_rate": 1.527777777777778e-05,
"loss": 0.1641,
"step": 290
},
{
"epoch": 14.63,
"learning_rate": 1.388888888888889e-05,
"loss": 0.1459,
"step": 300
},
{
"epoch": 14.98,
"eval_accuracy": 0.7899543378995434,
"eval_loss": 0.6442859768867493,
"eval_runtime": 3.0922,
"eval_samples_per_second": 70.824,
"eval_steps_per_second": 9.055,
"step": 307
},
{
"epoch": 15.12,
"learning_rate": 1.25e-05,
"loss": 0.136,
"step": 310
},
{
"epoch": 15.61,
"learning_rate": 1.1111111111111112e-05,
"loss": 0.1224,
"step": 320
},
{
"epoch": 16.0,
"eval_accuracy": 0.8036529680365296,
"eval_loss": 0.652053713798523,
"eval_runtime": 3.1086,
"eval_samples_per_second": 70.45,
"eval_steps_per_second": 9.007,
"step": 328
},
{
"epoch": 16.1,
"learning_rate": 9.722222222222223e-06,
"loss": 0.1393,
"step": 330
},
{
"epoch": 16.59,
"learning_rate": 8.333333333333334e-06,
"loss": 0.0533,
"step": 340
},
{
"epoch": 16.98,
"eval_accuracy": 0.8493150684931506,
"eval_loss": 0.5914698243141174,
"eval_runtime": 3.1723,
"eval_samples_per_second": 69.034,
"eval_steps_per_second": 8.826,
"step": 348
},
{
"epoch": 17.07,
"learning_rate": 6.944444444444445e-06,
"loss": 0.1186,
"step": 350
},
{
"epoch": 17.56,
"learning_rate": 5.555555555555556e-06,
"loss": 0.1133,
"step": 360
},
{
"epoch": 18.0,
"eval_accuracy": 0.8264840182648402,
"eval_loss": 0.6151906251907349,
"eval_runtime": 3.0754,
"eval_samples_per_second": 71.21,
"eval_steps_per_second": 9.104,
"step": 369
},
{
"epoch": 18.05,
"learning_rate": 4.166666666666667e-06,
"loss": 0.1631,
"step": 370
},
{
"epoch": 18.54,
"learning_rate": 2.777777777777778e-06,
"loss": 0.0923,
"step": 380
},
{
"epoch": 18.98,
"eval_accuracy": 0.7853881278538812,
"eval_loss": 0.6819412112236023,
"eval_runtime": 3.2565,
"eval_samples_per_second": 67.25,
"eval_steps_per_second": 8.598,
"step": 389
},
{
"epoch": 19.02,
"learning_rate": 1.388888888888889e-06,
"loss": 0.1299,
"step": 390
},
{
"epoch": 19.51,
"learning_rate": 0.0,
"loss": 0.086,
"step": 400
},
{
"epoch": 19.51,
"eval_accuracy": 0.8127853881278538,
"eval_loss": 0.6629763245582581,
"eval_runtime": 3.0498,
"eval_samples_per_second": 71.808,
"eval_steps_per_second": 9.181,
"step": 400
},
{
"epoch": 19.51,
"step": 400,
"total_flos": 9.98381008961151e+17,
"train_loss": 0.31942258909344673,
"train_runtime": 678.6178,
"train_samples_per_second": 19.245,
"train_steps_per_second": 0.589
}
],
"logging_steps": 10,
"max_steps": 400,
"num_train_epochs": 20,
"save_steps": 500,
"total_flos": 9.98381008961151e+17,
"trial_name": null,
"trial_params": null
}