|
{ |
|
"best_metric": 1.4884066581726074, |
|
"best_model_checkpoint": "distilbert_weight_decay_final/checkpoint-3436", |
|
"epoch": 2.0, |
|
"global_step": 3436, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.29, |
|
"learning_rate": 1.970896391152503e-05, |
|
"loss": 0.0382, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"learning_rate": 1.941792782305006e-05, |
|
"loss": 0.0288, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.87, |
|
"learning_rate": 1.9126891734575087e-05, |
|
"loss": 0.0306, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": { |
|
"accuracy": 0.7809847198641766 |
|
}, |
|
"eval_f1": { |
|
"f1": 0.7844084064836702 |
|
}, |
|
"eval_loss": 1.8566110134124756, |
|
"eval_runtime": 10.7438, |
|
"eval_samples_per_second": 328.933, |
|
"eval_steps_per_second": 20.57, |
|
"step": 1718 |
|
}, |
|
{ |
|
"epoch": 1.16, |
|
"learning_rate": 1.8835855646100117e-05, |
|
"loss": 0.0764, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 1.46, |
|
"learning_rate": 1.8544819557625148e-05, |
|
"loss": 0.073, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 1.75, |
|
"learning_rate": 1.825378346915018e-05, |
|
"loss": 0.0856, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": { |
|
"accuracy": 0.7758913412563667 |
|
}, |
|
"eval_f1": { |
|
"f1": 0.7796491207830641 |
|
}, |
|
"eval_loss": 1.4884066581726074, |
|
"eval_runtime": 10.2393, |
|
"eval_samples_per_second": 345.14, |
|
"eval_steps_per_second": 21.583, |
|
"step": 3436 |
|
} |
|
], |
|
"max_steps": 34360, |
|
"num_train_epochs": 20, |
|
"total_flos": 1564235020691640.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|