|
{ |
|
"best_metric": 0.893951143854207, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-39/checkpoint-645", |
|
"epoch": 1.0, |
|
"eval_steps": 500, |
|
"global_step": 645, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 1.5754092931747437, |
|
"learning_rate": 0.0002792573994181373, |
|
"loss": 0.2921, |
|
"step": 645 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.893951143854207, |
|
"eval_f1": 0.21968616262482166, |
|
"eval_loss": 0.2762198746204376, |
|
"eval_mcc": 0.24469253589704112, |
|
"eval_precision": 0.5833333333333334, |
|
"eval_recall": 0.13532513181019332, |
|
"eval_runtime": 9.9239, |
|
"eval_samples_per_second": 519.755, |
|
"eval_steps_per_second": 16.324, |
|
"step": 645 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 6450, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"save_steps": 500, |
|
"total_flos": 1586942532600.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.8141838638911323, |
|
"learning_rate": 0.00031028599935348586, |
|
"num_train_epochs": 10, |
|
"temperature": 13 |
|
} |
|
} |
|
|