|
{ |
|
"best_metric": 0.7455968688845401, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-26/checkpoint-48", |
|
"epoch": 1.0, |
|
"eval_steps": 500, |
|
"global_step": 48, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 1.8972866535186768, |
|
"learning_rate": 0.0002957944979629203, |
|
"loss": 0.5972, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7455968688845401, |
|
"eval_f1": 0.7906602254428341, |
|
"eval_loss": 0.5044679045677185, |
|
"eval_precision": 0.6716826265389877, |
|
"eval_recall": 0.9608610567514677, |
|
"eval_runtime": 27.1432, |
|
"eval_samples_per_second": 37.652, |
|
"eval_steps_per_second": 0.589, |
|
"step": 48 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 192, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 4, |
|
"save_steps": 500, |
|
"total_flos": 235695197280.0, |
|
"train_batch_size": 64, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.9950900377064807, |
|
"learning_rate": 0.00039439266395056036, |
|
"num_train_epochs": 4, |
|
"temperature": 27 |
|
} |
|
} |
|
|