|
{ |
|
"best_metric": 0.9740740740740741, |
|
"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": 2.3809, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"learning_rate": 1.7543859649122806e-05, |
|
"loss": 2.1931, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 2.6315789473684212e-05, |
|
"loss": 1.7658, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"learning_rate": 3.508771929824561e-05, |
|
"loss": 1.1384, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"learning_rate": 4.3859649122807014e-05, |
|
"loss": 0.7236, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"learning_rate": 4.970760233918128e-05, |
|
"loss": 0.5221, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.37, |
|
"learning_rate": 4.8732943469785574e-05, |
|
"loss": 0.503, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"learning_rate": 4.7758284600389865e-05, |
|
"loss": 0.4116, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.47, |
|
"learning_rate": 4.678362573099415e-05, |
|
"loss": 0.399, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"learning_rate": 4.580896686159844e-05, |
|
"loss": 0.3777, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"learning_rate": 4.483430799220273e-05, |
|
"loss": 0.3544, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.63, |
|
"learning_rate": 4.3859649122807014e-05, |
|
"loss": 0.3187, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.68, |
|
"learning_rate": 4.2884990253411305e-05, |
|
"loss": 0.2529, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.74, |
|
"learning_rate": 4.1910331384015596e-05, |
|
"loss": 0.2952, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.79, |
|
"learning_rate": 4.093567251461988e-05, |
|
"loss": 0.3222, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"learning_rate": 3.996101364522417e-05, |
|
"loss": 0.2986, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.89, |
|
"learning_rate": 3.898635477582846e-05, |
|
"loss": 0.2572, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.95, |
|
"learning_rate": 3.8011695906432746e-05, |
|
"loss": 0.2493, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 3.7037037037037037e-05, |
|
"loss": 0.252, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.95, |
|
"eval_loss": 0.14173315465450287, |
|
"eval_runtime": 5.2278, |
|
"eval_samples_per_second": 516.472, |
|
"eval_steps_per_second": 16.259, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 1.05, |
|
"learning_rate": 3.606237816764133e-05, |
|
"loss": 0.2277, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 1.11, |
|
"learning_rate": 3.508771929824561e-05, |
|
"loss": 0.2509, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 1.16, |
|
"learning_rate": 3.41130604288499e-05, |
|
"loss": 0.2161, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 1.21, |
|
"learning_rate": 3.313840155945419e-05, |
|
"loss": 0.2069, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 1.26, |
|
"learning_rate": 3.216374269005848e-05, |
|
"loss": 0.2356, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 1.32, |
|
"learning_rate": 3.118908382066277e-05, |
|
"loss": 0.2241, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 1.37, |
|
"learning_rate": 3.0214424951267055e-05, |
|
"loss": 0.199, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 1.42, |
|
"learning_rate": 2.9239766081871346e-05, |
|
"loss": 0.2151, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 1.47, |
|
"learning_rate": 2.8265107212475634e-05, |
|
"loss": 0.2074, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 1.53, |
|
"learning_rate": 2.729044834307992e-05, |
|
"loss": 0.1828, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 1.58, |
|
"learning_rate": 2.6315789473684212e-05, |
|
"loss": 0.2399, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 1.63, |
|
"learning_rate": 2.53411306042885e-05, |
|
"loss": 0.2006, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 1.68, |
|
"learning_rate": 2.4366471734892787e-05, |
|
"loss": 0.2121, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 1.74, |
|
"learning_rate": 2.3391812865497074e-05, |
|
"loss": 0.188, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 1.79, |
|
"learning_rate": 2.2417153996101365e-05, |
|
"loss": 0.1615, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 1.84, |
|
"learning_rate": 2.1442495126705653e-05, |
|
"loss": 0.184, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 1.89, |
|
"learning_rate": 2.046783625730994e-05, |
|
"loss": 0.1969, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 1.95, |
|
"learning_rate": 1.949317738791423e-05, |
|
"loss": 0.2069, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 1.8518518518518518e-05, |
|
"loss": 0.1846, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.9714814814814815, |
|
"eval_loss": 0.07922197133302689, |
|
"eval_runtime": 4.6807, |
|
"eval_samples_per_second": 576.841, |
|
"eval_steps_per_second": 18.16, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 2.05, |
|
"learning_rate": 1.7543859649122806e-05, |
|
"loss": 0.169, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 2.11, |
|
"learning_rate": 1.6569200779727097e-05, |
|
"loss": 0.1869, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 2.16, |
|
"learning_rate": 1.5594541910331384e-05, |
|
"loss": 0.145, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 2.21, |
|
"learning_rate": 1.4619883040935673e-05, |
|
"loss": 0.1967, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 2.26, |
|
"learning_rate": 1.364522417153996e-05, |
|
"loss": 0.188, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 2.32, |
|
"learning_rate": 1.267056530214425e-05, |
|
"loss": 0.1593, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 2.37, |
|
"learning_rate": 1.1695906432748537e-05, |
|
"loss": 0.1371, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 2.42, |
|
"learning_rate": 1.0721247563352826e-05, |
|
"loss": 0.1841, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 2.47, |
|
"learning_rate": 9.746588693957115e-06, |
|
"loss": 0.1659, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 2.53, |
|
"learning_rate": 8.771929824561403e-06, |
|
"loss": 0.1354, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 2.58, |
|
"learning_rate": 7.797270955165692e-06, |
|
"loss": 0.1381, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 2.63, |
|
"learning_rate": 6.82261208576998e-06, |
|
"loss": 0.1331, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.68, |
|
"learning_rate": 5.8479532163742686e-06, |
|
"loss": 0.1494, |
|
"step": 510 |
|
}, |
|
{ |
|
"epoch": 2.74, |
|
"learning_rate": 4.873294346978558e-06, |
|
"loss": 0.12, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 2.79, |
|
"learning_rate": 3.898635477582846e-06, |
|
"loss": 0.1648, |
|
"step": 530 |
|
}, |
|
{ |
|
"epoch": 2.84, |
|
"learning_rate": 2.9239766081871343e-06, |
|
"loss": 0.1532, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 2.89, |
|
"learning_rate": 1.949317738791423e-06, |
|
"loss": 0.1392, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 2.95, |
|
"learning_rate": 9.746588693957115e-07, |
|
"loss": 0.1302, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 0.0, |
|
"loss": 0.1887, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.9740740740740741, |
|
"eval_loss": 0.07266821712255478, |
|
"eval_runtime": 5.2195, |
|
"eval_samples_per_second": 517.289, |
|
"eval_steps_per_second": 16.285, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"step": 570, |
|
"total_flos": 1.8124066505760768e+18, |
|
"train_loss": 0.34982479978026004, |
|
"train_runtime": 261.9976, |
|
"train_samples_per_second": 278.247, |
|
"train_steps_per_second": 2.176 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 570, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"total_flos": 1.8124066505760768e+18, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|