|
{ |
|
"best_metric": 0.9785185185185186, |
|
"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": 0.05, |
|
"learning_rate": 8.771929824561403e-06, |
|
"loss": 2.3294, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"learning_rate": 1.7543859649122806e-05, |
|
"loss": 2.1496, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 2.6315789473684212e-05, |
|
"loss": 1.7678, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"learning_rate": 3.508771929824561e-05, |
|
"loss": 1.1183, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"learning_rate": 4.3859649122807014e-05, |
|
"loss": 0.6524, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"learning_rate": 4.970760233918128e-05, |
|
"loss": 0.4842, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.37, |
|
"learning_rate": 4.8732943469785574e-05, |
|
"loss": 0.4108, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"learning_rate": 4.7758284600389865e-05, |
|
"loss": 0.4031, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.47, |
|
"learning_rate": 4.678362573099415e-05, |
|
"loss": 0.3541, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"learning_rate": 4.580896686159844e-05, |
|
"loss": 0.3247, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"learning_rate": 4.483430799220273e-05, |
|
"loss": 0.2824, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.63, |
|
"learning_rate": 4.3859649122807014e-05, |
|
"loss": 0.3149, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.68, |
|
"learning_rate": 4.2884990253411305e-05, |
|
"loss": 0.2553, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.74, |
|
"learning_rate": 4.1910331384015596e-05, |
|
"loss": 0.2365, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.79, |
|
"learning_rate": 4.093567251461988e-05, |
|
"loss": 0.2631, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"learning_rate": 3.996101364522417e-05, |
|
"loss": 0.2861, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.89, |
|
"learning_rate": 3.898635477582846e-05, |
|
"loss": 0.2536, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.95, |
|
"learning_rate": 3.8011695906432746e-05, |
|
"loss": 0.2434, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 3.7037037037037037e-05, |
|
"loss": 0.2711, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.96, |
|
"eval_loss": 0.1237487941980362, |
|
"eval_runtime": 6.1433, |
|
"eval_samples_per_second": 439.503, |
|
"eval_steps_per_second": 13.836, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 1.05, |
|
"learning_rate": 3.606237816764133e-05, |
|
"loss": 0.2533, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 1.11, |
|
"learning_rate": 3.508771929824561e-05, |
|
"loss": 0.2137, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 1.16, |
|
"learning_rate": 3.41130604288499e-05, |
|
"loss": 0.2597, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 1.21, |
|
"learning_rate": 3.313840155945419e-05, |
|
"loss": 0.2156, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 1.26, |
|
"learning_rate": 3.216374269005848e-05, |
|
"loss": 0.2131, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 1.32, |
|
"learning_rate": 3.118908382066277e-05, |
|
"loss": 0.2432, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 1.37, |
|
"learning_rate": 3.0214424951267055e-05, |
|
"loss": 0.212, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 1.42, |
|
"learning_rate": 2.9239766081871346e-05, |
|
"loss": 0.1893, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 1.47, |
|
"learning_rate": 2.8265107212475634e-05, |
|
"loss": 0.1817, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 1.53, |
|
"learning_rate": 2.729044834307992e-05, |
|
"loss": 0.2067, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 1.58, |
|
"learning_rate": 2.6315789473684212e-05, |
|
"loss": 0.1764, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 1.63, |
|
"learning_rate": 2.53411306042885e-05, |
|
"loss": 0.1694, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 1.68, |
|
"learning_rate": 2.4366471734892787e-05, |
|
"loss": 0.1939, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 1.74, |
|
"learning_rate": 2.3391812865497074e-05, |
|
"loss": 0.1729, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 1.79, |
|
"learning_rate": 2.2417153996101365e-05, |
|
"loss": 0.1704, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 1.84, |
|
"learning_rate": 2.1442495126705653e-05, |
|
"loss": 0.1669, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 1.89, |
|
"learning_rate": 2.046783625730994e-05, |
|
"loss": 0.1863, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 1.95, |
|
"learning_rate": 1.949317738791423e-05, |
|
"loss": 0.1769, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 1.8518518518518518e-05, |
|
"loss": 0.1409, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.9722222222222222, |
|
"eval_loss": 0.08931370824575424, |
|
"eval_runtime": 6.1063, |
|
"eval_samples_per_second": 442.165, |
|
"eval_steps_per_second": 13.92, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 2.05, |
|
"learning_rate": 1.7543859649122806e-05, |
|
"loss": 0.1844, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 2.11, |
|
"learning_rate": 1.6569200779727097e-05, |
|
"loss": 0.1527, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 2.16, |
|
"learning_rate": 1.5594541910331384e-05, |
|
"loss": 0.1723, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 2.21, |
|
"learning_rate": 1.4619883040935673e-05, |
|
"loss": 0.1616, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 2.26, |
|
"learning_rate": 1.364522417153996e-05, |
|
"loss": 0.1856, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 2.32, |
|
"learning_rate": 1.267056530214425e-05, |
|
"loss": 0.1376, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 2.37, |
|
"learning_rate": 1.1695906432748537e-05, |
|
"loss": 0.1447, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 2.42, |
|
"learning_rate": 1.0721247563352826e-05, |
|
"loss": 0.1612, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 2.47, |
|
"learning_rate": 9.746588693957115e-06, |
|
"loss": 0.1326, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 2.53, |
|
"learning_rate": 8.771929824561403e-06, |
|
"loss": 0.1484, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 2.58, |
|
"learning_rate": 7.797270955165692e-06, |
|
"loss": 0.1597, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 2.63, |
|
"learning_rate": 6.82261208576998e-06, |
|
"loss": 0.1564, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.68, |
|
"learning_rate": 5.8479532163742686e-06, |
|
"loss": 0.1478, |
|
"step": 510 |
|
}, |
|
{ |
|
"epoch": 2.74, |
|
"learning_rate": 4.873294346978558e-06, |
|
"loss": 0.1176, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 2.79, |
|
"learning_rate": 3.898635477582846e-06, |
|
"loss": 0.1722, |
|
"step": 530 |
|
}, |
|
{ |
|
"epoch": 2.84, |
|
"learning_rate": 2.9239766081871343e-06, |
|
"loss": 0.1344, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 2.89, |
|
"learning_rate": 1.949317738791423e-06, |
|
"loss": 0.114, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 2.95, |
|
"learning_rate": 9.746588693957115e-07, |
|
"loss": 0.1337, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 0.0, |
|
"loss": 0.1324, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.9785185185185186, |
|
"eval_loss": 0.0710483118891716, |
|
"eval_runtime": 6.1784, |
|
"eval_samples_per_second": 437.004, |
|
"eval_steps_per_second": 13.758, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"step": 570, |
|
"total_flos": 1.8124066505760768e+18, |
|
"train_loss": 0.33319174720529926, |
|
"train_runtime": 362.4625, |
|
"train_samples_per_second": 201.124, |
|
"train_steps_per_second": 1.573 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 570, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"total_flos": 1.8124066505760768e+18, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|