|
{ |
|
"best_metric": 0.8405963302752294, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-42/checkpoint-527", |
|
"epoch": 3.0, |
|
"eval_steps": 500, |
|
"global_step": 1581, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 12.218423843383789, |
|
"learning_rate": 0.0002468577923854863, |
|
"loss": 1.1492, |
|
"step": 527 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.8405963302752294, |
|
"eval_loss": 1.2373847961425781, |
|
"eval_runtime": 2.8121, |
|
"eval_samples_per_second": 310.092, |
|
"eval_steps_per_second": 2.489, |
|
"step": 527 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 7.051322937011719, |
|
"learning_rate": 0.00012342889619274314, |
|
"loss": 0.5283, |
|
"step": 1054 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8302752293577982, |
|
"eval_loss": 1.383708119392395, |
|
"eval_runtime": 2.8134, |
|
"eval_samples_per_second": 309.949, |
|
"eval_steps_per_second": 2.488, |
|
"step": 1054 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": NaN, |
|
"learning_rate": 2.3421042920824125e-07, |
|
"loss": 0.3751, |
|
"step": 1581 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8188073394495413, |
|
"eval_loss": 1.4459969997406006, |
|
"eval_runtime": 2.8106, |
|
"eval_samples_per_second": 310.249, |
|
"eval_steps_per_second": 2.491, |
|
"step": 1581 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 1581, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"total_flos": 24228458327580.0, |
|
"train_batch_size": 128, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.47037947579293116, |
|
"learning_rate": 0.00037028668857822943, |
|
"num_train_epochs": 3, |
|
"temperature": 12 |
|
} |
|
} |
|
|