|
{ |
|
"best_metric": 0.7106033977738723, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-42/checkpoint-214", |
|
"epoch": 1.0, |
|
"eval_steps": 500, |
|
"global_step": 214, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 8.560860633850098, |
|
"learning_rate": 0.00010512648397588192, |
|
"loss": 0.5768, |
|
"step": 214 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7106033977738723, |
|
"eval_f1": 0.5425925925925925, |
|
"eval_loss": 0.5306685566902161, |
|
"eval_mcc": 0.3328562997342372, |
|
"eval_precision": 0.5733855185909981, |
|
"eval_recall": 0.5149384885764499, |
|
"eval_runtime": 3.1739, |
|
"eval_samples_per_second": 537.821, |
|
"eval_steps_per_second": 17.014, |
|
"step": 214 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 642, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"total_flos": 524775664440.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.9383404566107884, |
|
"learning_rate": 0.00015768972596382288, |
|
"num_train_epochs": 3, |
|
"temperature": 14 |
|
} |
|
} |
|
|