|
{ |
|
"best_metric": 0.5536774704373721, |
|
"best_model_checkpoint": "R2-OUTPUT/xlm-roberta-base/ContextIncluded_IdiomExcluded/4/checkpoint-185", |
|
"epoch": 5.0, |
|
"global_step": 185, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.5641025900840759, |
|
"eval_f1": 0.4068936527952921, |
|
"eval_loss": 0.6858616471290588, |
|
"eval_runtime": 0.8041, |
|
"eval_samples_per_second": 339.518, |
|
"eval_steps_per_second": 43.528, |
|
"step": 37 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.5641025900840759, |
|
"eval_f1": 0.4068936527952921, |
|
"eval_loss": 0.7174506187438965, |
|
"eval_runtime": 0.8048, |
|
"eval_samples_per_second": 339.219, |
|
"eval_steps_per_second": 43.49, |
|
"step": 74 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.5641025900840759, |
|
"eval_f1": 0.4068936527952921, |
|
"eval_loss": 0.8625497817993164, |
|
"eval_runtime": 0.804, |
|
"eval_samples_per_second": 339.572, |
|
"eval_steps_per_second": 43.535, |
|
"step": 111 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.5274725556373596, |
|
"eval_f1": 0.5077237216898057, |
|
"eval_loss": 0.8788116574287415, |
|
"eval_runtime": 0.8029, |
|
"eval_samples_per_second": 340.023, |
|
"eval_steps_per_second": 43.593, |
|
"step": 148 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.5604395866394043, |
|
"eval_f1": 0.5536774704373721, |
|
"eval_loss": 1.1304702758789062, |
|
"eval_runtime": 0.8023, |
|
"eval_samples_per_second": 340.278, |
|
"eval_steps_per_second": 43.625, |
|
"step": 185 |
|
} |
|
], |
|
"max_steps": 333, |
|
"num_train_epochs": 9, |
|
"total_flos": 1242795250575360.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|