|
{ |
|
"best_metric": 0.8554216867469879, |
|
"best_model_checkpoint": "vit-base-patch16-224-finetuned-eurosat/checkpoint-51", |
|
"epoch": 2.914285714285714, |
|
"eval_steps": 500, |
|
"global_step": 51, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.57, |
|
"learning_rate": 4.555555555555556e-05, |
|
"loss": 1.3804, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.97, |
|
"eval_accuracy": 0.8192771084337349, |
|
"eval_loss": 0.5244177579879761, |
|
"eval_runtime": 0.7663, |
|
"eval_samples_per_second": 324.953, |
|
"eval_steps_per_second": 10.44, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"learning_rate": 3.444444444444445e-05, |
|
"loss": 0.7528, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 1.71, |
|
"learning_rate": 2.3333333333333336e-05, |
|
"loss": 0.52, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8393574297188755, |
|
"eval_loss": 0.3711775541305542, |
|
"eval_runtime": 0.7646, |
|
"eval_samples_per_second": 325.652, |
|
"eval_steps_per_second": 10.463, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 2.29, |
|
"learning_rate": 1.2222222222222222e-05, |
|
"loss": 0.4363, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 2.86, |
|
"learning_rate": 1.1111111111111112e-06, |
|
"loss": 0.3909, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 2.91, |
|
"eval_accuracy": 0.8554216867469879, |
|
"eval_loss": 0.3497268557548523, |
|
"eval_runtime": 0.7602, |
|
"eval_samples_per_second": 327.525, |
|
"eval_steps_per_second": 10.523, |
|
"step": 51 |
|
}, |
|
{ |
|
"epoch": 2.91, |
|
"step": 51, |
|
"total_flos": 5.057217893112054e+17, |
|
"train_loss": 0.689645012219747, |
|
"train_runtime": 62.8526, |
|
"train_samples_per_second": 106.869, |
|
"train_steps_per_second": 0.811 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 51, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"total_flos": 5.057217893112054e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|