|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 3.875968992248062, |
|
"global_step": 500, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.8262548262548263, |
|
"eval_f1": 0.8262548262548263, |
|
"eval_loss": 0.6026379466056824, |
|
"eval_precision": 0.8262548262548263, |
|
"eval_recall": 0.8262548262548263, |
|
"eval_runtime": 2.6881, |
|
"eval_samples_per_second": 96.35, |
|
"eval_steps_per_second": 12.276, |
|
"step": 129 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8455598455598455, |
|
"eval_f1": 0.8455598455598455, |
|
"eval_loss": 0.5269076228141785, |
|
"eval_precision": 0.8455598455598455, |
|
"eval_recall": 0.8455598455598455, |
|
"eval_runtime": 2.3725, |
|
"eval_samples_per_second": 109.17, |
|
"eval_steps_per_second": 13.91, |
|
"step": 258 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8301158301158301, |
|
"eval_f1": 0.8301158301158301, |
|
"eval_loss": 0.6534943580627441, |
|
"eval_precision": 0.8301158301158301, |
|
"eval_recall": 0.8301158301158301, |
|
"eval_runtime": 2.3717, |
|
"eval_samples_per_second": 109.205, |
|
"eval_steps_per_second": 13.914, |
|
"step": 387 |
|
}, |
|
{ |
|
"epoch": 3.88, |
|
"learning_rate": 1.1240310077519382e-05, |
|
"loss": 0.3772, |
|
"step": 500 |
|
} |
|
], |
|
"max_steps": 645, |
|
"num_train_epochs": 5, |
|
"total_flos": 205568431200000.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|