|
{ |
|
"best_metric": 0.4778162027316995, |
|
"best_model_checkpoint": "distilbert-base-uncased-finetuned-cola/run-5/checkpoint-2138", |
|
"epoch": 2.0, |
|
"eval_steps": 500, |
|
"global_step": 2138, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.4677268475210477, |
|
"grad_norm": 4.435796737670898, |
|
"learning_rate": 1.7076894081996187e-05, |
|
"loss": 0.5421, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.9354536950420954, |
|
"grad_norm": 13.997383117675781, |
|
"learning_rate": 1.3922683871062276e-05, |
|
"loss": 0.5008, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_loss": 0.4736253321170807, |
|
"eval_matthews_correlation": 0.45008318903303624, |
|
"eval_runtime": 0.7693, |
|
"eval_samples_per_second": 1355.736, |
|
"eval_steps_per_second": 85.79, |
|
"step": 1069 |
|
}, |
|
{ |
|
"epoch": 1.4031805425631432, |
|
"grad_norm": 34.2601432800293, |
|
"learning_rate": 1.0768473660128366e-05, |
|
"loss": 0.3575, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 1.8709073900841908, |
|
"grad_norm": 39.75000762939453, |
|
"learning_rate": 7.6142634491944576e-06, |
|
"loss": 0.3442, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_loss": 0.6032345294952393, |
|
"eval_matthews_correlation": 0.4778162027316995, |
|
"eval_runtime": 0.9252, |
|
"eval_samples_per_second": 1127.3, |
|
"eval_steps_per_second": 71.334, |
|
"step": 2138 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 3207, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 75157137960120.0, |
|
"train_batch_size": 8, |
|
"trial_name": null, |
|
"trial_params": { |
|
"learning_rate": 2.0231104292930096e-05, |
|
"num_train_epochs": 3, |
|
"per_device_train_batch_size": 8, |
|
"seed": 39 |
|
} |
|
} |
|
|