|
{ |
|
"best_metric": 0.0, |
|
"best_model_checkpoint": "distilbert-base-uncased-finetuned-cola/run-3/checkpoint-14", |
|
"epoch": 5.0, |
|
"eval_steps": 500, |
|
"global_step": 70, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_loss": 0.6366313099861145, |
|
"eval_matthews_correlation": 0.0, |
|
"eval_runtime": 0.7373, |
|
"eval_samples_per_second": 1414.699, |
|
"eval_steps_per_second": 89.521, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_loss": 0.6198997497558594, |
|
"eval_matthews_correlation": 0.0, |
|
"eval_runtime": 1.0022, |
|
"eval_samples_per_second": 1040.684, |
|
"eval_steps_per_second": 65.853, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_loss": 0.6155935525894165, |
|
"eval_matthews_correlation": 0.0, |
|
"eval_runtime": 0.8197, |
|
"eval_samples_per_second": 1272.398, |
|
"eval_steps_per_second": 80.516, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_loss": 0.6139842867851257, |
|
"eval_matthews_correlation": 0.0, |
|
"eval_runtime": 1.3039, |
|
"eval_samples_per_second": 799.914, |
|
"eval_steps_per_second": 50.618, |
|
"step": 56 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_loss": 0.6134741902351379, |
|
"eval_matthews_correlation": 0.0, |
|
"eval_runtime": 0.7992, |
|
"eval_samples_per_second": 1305.091, |
|
"eval_steps_per_second": 82.585, |
|
"step": 70 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 70, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"total_flos": 0, |
|
"train_batch_size": 64, |
|
"trial_name": null, |
|
"trial_params": { |
|
"learning_rate": 5.334111722797918e-06, |
|
"num_train_epochs": 5, |
|
"per_device_train_batch_size": 64, |
|
"seed": 26 |
|
} |
|
} |
|
|