|
{ |
|
"best_metric": 0.8933695230709577, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-36/checkpoint-1290", |
|
"epoch": 2.0, |
|
"eval_steps": 500, |
|
"global_step": 1290, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 1.4688760042190552, |
|
"learning_rate": 8.897592274282152e-05, |
|
"loss": 0.3238, |
|
"step": 645 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.8916246607212097, |
|
"eval_f1": 0.0411663807890223, |
|
"eval_loss": 0.30380308628082275, |
|
"eval_mcc": 0.12436574060202066, |
|
"eval_precision": 0.8571428571428571, |
|
"eval_recall": 0.0210896309314587, |
|
"eval_runtime": 9.9325, |
|
"eval_samples_per_second": 519.307, |
|
"eval_steps_per_second": 16.31, |
|
"step": 645 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 0.905078649520874, |
|
"learning_rate": 7.11807381942572e-05, |
|
"loss": 0.2989, |
|
"step": 1290 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8933695230709577, |
|
"eval_f1": 0.08637873754152824, |
|
"eval_loss": 0.3039029538631439, |
|
"eval_mcc": 0.1735509482156532, |
|
"eval_precision": 0.7878787878787878, |
|
"eval_recall": 0.04569420035149385, |
|
"eval_runtime": 9.9133, |
|
"eval_samples_per_second": 520.31, |
|
"eval_steps_per_second": 16.342, |
|
"step": 1290 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 3870, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 6, |
|
"save_steps": 500, |
|
"total_flos": 3173885065200.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.9385779244635338, |
|
"learning_rate": 0.00010677110729138582, |
|
"num_train_epochs": 6, |
|
"temperature": 21 |
|
} |
|
} |
|
|