|
{ |
|
"best_metric": 0.48594322653502614, |
|
"best_model_checkpoint": "distilbert-base-uncased-finetuned-cola/run-5/checkpoint-1605", |
|
"epoch": 3.0, |
|
"eval_steps": 500, |
|
"global_step": 1605, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.93, |
|
"grad_norm": 2.427436590194702, |
|
"learning_rate": 6.891375784861594e-05, |
|
"loss": 0.5578, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_loss": 0.5254166722297668, |
|
"eval_matthews_correlation": 0.4033324209850535, |
|
"eval_runtime": 0.7104, |
|
"eval_samples_per_second": 1468.246, |
|
"eval_steps_per_second": 92.909, |
|
"step": 535 |
|
}, |
|
{ |
|
"epoch": 1.87, |
|
"grad_norm": 9.167702674865723, |
|
"learning_rate": 4.790346582159888e-05, |
|
"loss": 0.356, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_loss": 0.5107694864273071, |
|
"eval_matthews_correlation": 0.4744648934358445, |
|
"eval_runtime": 1.1779, |
|
"eval_samples_per_second": 885.459, |
|
"eval_steps_per_second": 56.031, |
|
"step": 1070 |
|
}, |
|
{ |
|
"epoch": 2.8, |
|
"grad_norm": 5.444707870483398, |
|
"learning_rate": 2.689317379458183e-05, |
|
"loss": 0.2179, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_loss": 0.7949007749557495, |
|
"eval_matthews_correlation": 0.48594322653502614, |
|
"eval_runtime": 1.1637, |
|
"eval_samples_per_second": 896.282, |
|
"eval_steps_per_second": 56.716, |
|
"step": 1605 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2140, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 4, |
|
"save_steps": 500, |
|
"total_flos": 128086660386384.0, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": { |
|
"learning_rate": 8.9924049875633e-05, |
|
"num_train_epochs": 4, |
|
"per_device_train_batch_size": 16, |
|
"seed": 26 |
|
} |
|
} |
|
|