so-hey's picture
End of training
df563c9 verified
{
"best_metric": 0.9792592592592593,
"best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-570",
"epoch": 3.0,
"eval_steps": 500,
"global_step": 570,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.05263157894736842,
"grad_norm": 4.343901634216309,
"learning_rate": 8.771929824561403e-06,
"loss": 2.3068,
"step": 10
},
{
"epoch": 0.10526315789473684,
"grad_norm": 6.9181928634643555,
"learning_rate": 1.7543859649122806e-05,
"loss": 2.1013,
"step": 20
},
{
"epoch": 0.15789473684210525,
"grad_norm": 15.276274681091309,
"learning_rate": 2.6315789473684212e-05,
"loss": 1.7038,
"step": 30
},
{
"epoch": 0.21052631578947367,
"grad_norm": 11.972685813903809,
"learning_rate": 3.508771929824561e-05,
"loss": 1.1111,
"step": 40
},
{
"epoch": 0.2631578947368421,
"grad_norm": 18.04628562927246,
"learning_rate": 4.3859649122807014e-05,
"loss": 0.6855,
"step": 50
},
{
"epoch": 0.3157894736842105,
"grad_norm": 26.95036506652832,
"learning_rate": 4.970760233918128e-05,
"loss": 0.5126,
"step": 60
},
{
"epoch": 0.3684210526315789,
"grad_norm": 13.101174354553223,
"learning_rate": 4.8732943469785574e-05,
"loss": 0.4391,
"step": 70
},
{
"epoch": 0.42105263157894735,
"grad_norm": 16.37429428100586,
"learning_rate": 4.7758284600389865e-05,
"loss": 0.3862,
"step": 80
},
{
"epoch": 0.47368421052631576,
"grad_norm": 18.389183044433594,
"learning_rate": 4.678362573099415e-05,
"loss": 0.3387,
"step": 90
},
{
"epoch": 0.5263157894736842,
"grad_norm": 6.9733428955078125,
"learning_rate": 4.580896686159844e-05,
"loss": 0.3674,
"step": 100
},
{
"epoch": 0.5789473684210527,
"grad_norm": 9.850255012512207,
"learning_rate": 4.483430799220273e-05,
"loss": 0.3474,
"step": 110
},
{
"epoch": 0.631578947368421,
"grad_norm": 9.4562406539917,
"learning_rate": 4.3859649122807014e-05,
"loss": 0.2886,
"step": 120
},
{
"epoch": 0.6842105263157895,
"grad_norm": 24.102073669433594,
"learning_rate": 4.2884990253411305e-05,
"loss": 0.2931,
"step": 130
},
{
"epoch": 0.7368421052631579,
"grad_norm": 11.236126899719238,
"learning_rate": 4.1910331384015596e-05,
"loss": 0.2734,
"step": 140
},
{
"epoch": 0.7894736842105263,
"grad_norm": 11.777973175048828,
"learning_rate": 4.093567251461988e-05,
"loss": 0.3085,
"step": 150
},
{
"epoch": 0.8421052631578947,
"grad_norm": 14.830010414123535,
"learning_rate": 3.996101364522417e-05,
"loss": 0.2942,
"step": 160
},
{
"epoch": 0.8947368421052632,
"grad_norm": 11.80654525756836,
"learning_rate": 3.898635477582846e-05,
"loss": 0.2448,
"step": 170
},
{
"epoch": 0.9473684210526315,
"grad_norm": 13.162323951721191,
"learning_rate": 3.8011695906432746e-05,
"loss": 0.216,
"step": 180
},
{
"epoch": 1.0,
"grad_norm": 26.420730590820312,
"learning_rate": 3.7037037037037037e-05,
"loss": 0.2486,
"step": 190
},
{
"epoch": 1.0,
"eval_accuracy": 0.9596296296296296,
"eval_loss": 0.11904598772525787,
"eval_runtime": 16.7449,
"eval_samples_per_second": 161.244,
"eval_steps_per_second": 5.076,
"step": 190
},
{
"epoch": 1.0526315789473684,
"grad_norm": 9.718153953552246,
"learning_rate": 3.606237816764133e-05,
"loss": 0.2131,
"step": 200
},
{
"epoch": 1.1052631578947367,
"grad_norm": 6.288980484008789,
"learning_rate": 3.508771929824561e-05,
"loss": 0.2227,
"step": 210
},
{
"epoch": 1.1578947368421053,
"grad_norm": 8.807621955871582,
"learning_rate": 3.41130604288499e-05,
"loss": 0.2247,
"step": 220
},
{
"epoch": 1.2105263157894737,
"grad_norm": 11.854440689086914,
"learning_rate": 3.313840155945419e-05,
"loss": 0.276,
"step": 230
},
{
"epoch": 1.263157894736842,
"grad_norm": 10.865113258361816,
"learning_rate": 3.216374269005848e-05,
"loss": 0.2259,
"step": 240
},
{
"epoch": 1.3157894736842106,
"grad_norm": 7.972955226898193,
"learning_rate": 3.118908382066277e-05,
"loss": 0.2183,
"step": 250
},
{
"epoch": 1.368421052631579,
"grad_norm": 7.044989109039307,
"learning_rate": 3.0214424951267055e-05,
"loss": 0.226,
"step": 260
},
{
"epoch": 1.4210526315789473,
"grad_norm": 7.572982311248779,
"learning_rate": 2.9239766081871346e-05,
"loss": 0.2109,
"step": 270
},
{
"epoch": 1.4736842105263157,
"grad_norm": 7.762623310089111,
"learning_rate": 2.8265107212475634e-05,
"loss": 0.1976,
"step": 280
},
{
"epoch": 1.526315789473684,
"grad_norm": 8.442371368408203,
"learning_rate": 2.729044834307992e-05,
"loss": 0.1926,
"step": 290
},
{
"epoch": 1.5789473684210527,
"grad_norm": 8.82628345489502,
"learning_rate": 2.6315789473684212e-05,
"loss": 0.1771,
"step": 300
},
{
"epoch": 1.631578947368421,
"grad_norm": 14.203849792480469,
"learning_rate": 2.53411306042885e-05,
"loss": 0.2011,
"step": 310
},
{
"epoch": 1.6842105263157894,
"grad_norm": 16.233551025390625,
"learning_rate": 2.4366471734892787e-05,
"loss": 0.1875,
"step": 320
},
{
"epoch": 1.736842105263158,
"grad_norm": 10.250910758972168,
"learning_rate": 2.3391812865497074e-05,
"loss": 0.186,
"step": 330
},
{
"epoch": 1.7894736842105263,
"grad_norm": 7.864058494567871,
"learning_rate": 2.2417153996101365e-05,
"loss": 0.1623,
"step": 340
},
{
"epoch": 1.8421052631578947,
"grad_norm": 19.014820098876953,
"learning_rate": 2.1442495126705653e-05,
"loss": 0.1957,
"step": 350
},
{
"epoch": 1.8947368421052633,
"grad_norm": 9.105624198913574,
"learning_rate": 2.046783625730994e-05,
"loss": 0.1778,
"step": 360
},
{
"epoch": 1.9473684210526314,
"grad_norm": 10.166816711425781,
"learning_rate": 1.949317738791423e-05,
"loss": 0.2045,
"step": 370
},
{
"epoch": 2.0,
"grad_norm": 9.262903213500977,
"learning_rate": 1.8518518518518518e-05,
"loss": 0.1564,
"step": 380
},
{
"epoch": 2.0,
"eval_accuracy": 0.9755555555555555,
"eval_loss": 0.06939271837472916,
"eval_runtime": 16.5041,
"eval_samples_per_second": 163.596,
"eval_steps_per_second": 5.15,
"step": 380
},
{
"epoch": 2.0526315789473686,
"grad_norm": 10.945294380187988,
"learning_rate": 1.7543859649122806e-05,
"loss": 0.1945,
"step": 390
},
{
"epoch": 2.1052631578947367,
"grad_norm": 12.293395042419434,
"learning_rate": 1.6569200779727097e-05,
"loss": 0.1737,
"step": 400
},
{
"epoch": 2.1578947368421053,
"grad_norm": 9.197681427001953,
"learning_rate": 1.5594541910331384e-05,
"loss": 0.1518,
"step": 410
},
{
"epoch": 2.2105263157894735,
"grad_norm": 5.952602386474609,
"learning_rate": 1.4619883040935673e-05,
"loss": 0.1616,
"step": 420
},
{
"epoch": 2.263157894736842,
"grad_norm": 7.829499244689941,
"learning_rate": 1.364522417153996e-05,
"loss": 0.1672,
"step": 430
},
{
"epoch": 2.3157894736842106,
"grad_norm": 4.569563388824463,
"learning_rate": 1.267056530214425e-05,
"loss": 0.1373,
"step": 440
},
{
"epoch": 2.3684210526315788,
"grad_norm": 8.25244140625,
"learning_rate": 1.1695906432748537e-05,
"loss": 0.1531,
"step": 450
},
{
"epoch": 2.4210526315789473,
"grad_norm": 5.240682125091553,
"learning_rate": 1.0721247563352826e-05,
"loss": 0.1674,
"step": 460
},
{
"epoch": 2.473684210526316,
"grad_norm": 10.285263061523438,
"learning_rate": 9.746588693957115e-06,
"loss": 0.1773,
"step": 470
},
{
"epoch": 2.526315789473684,
"grad_norm": 7.376901626586914,
"learning_rate": 8.771929824561403e-06,
"loss": 0.1604,
"step": 480
},
{
"epoch": 2.5789473684210527,
"grad_norm": 11.308797836303711,
"learning_rate": 7.797270955165692e-06,
"loss": 0.146,
"step": 490
},
{
"epoch": 2.6315789473684212,
"grad_norm": 3.549391269683838,
"learning_rate": 6.82261208576998e-06,
"loss": 0.1464,
"step": 500
},
{
"epoch": 2.6842105263157894,
"grad_norm": 5.578386306762695,
"learning_rate": 5.8479532163742686e-06,
"loss": 0.133,
"step": 510
},
{
"epoch": 2.736842105263158,
"grad_norm": 8.859381675720215,
"learning_rate": 4.873294346978558e-06,
"loss": 0.147,
"step": 520
},
{
"epoch": 2.7894736842105265,
"grad_norm": 8.507740020751953,
"learning_rate": 3.898635477582846e-06,
"loss": 0.1392,
"step": 530
},
{
"epoch": 2.8421052631578947,
"grad_norm": 6.85144567489624,
"learning_rate": 2.9239766081871343e-06,
"loss": 0.1505,
"step": 540
},
{
"epoch": 2.8947368421052633,
"grad_norm": 16.25189781188965,
"learning_rate": 1.949317738791423e-06,
"loss": 0.1209,
"step": 550
},
{
"epoch": 2.9473684210526314,
"grad_norm": 6.5484137535095215,
"learning_rate": 9.746588693957115e-07,
"loss": 0.148,
"step": 560
},
{
"epoch": 3.0,
"grad_norm": 7.504970073699951,
"learning_rate": 0.0,
"loss": 0.1244,
"step": 570
},
{
"epoch": 3.0,
"eval_accuracy": 0.9792592592592593,
"eval_loss": 0.06017439067363739,
"eval_runtime": 17.0791,
"eval_samples_per_second": 158.088,
"eval_steps_per_second": 4.977,
"step": 570
},
{
"epoch": 3.0,
"step": 570,
"total_flos": 1.8124066505760768e+18,
"train_loss": 0.33724165422874586,
"train_runtime": 1116.074,
"train_samples_per_second": 65.318,
"train_steps_per_second": 0.511
}
],
"logging_steps": 10,
"max_steps": 570,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"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": 1.8124066505760768e+18,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}