|
{ |
|
"best_metric": 0.8291284403669725, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-44/checkpoint-527", |
|
"epoch": 2.0, |
|
"eval_steps": 500, |
|
"global_step": 1054, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 15.370396614074707, |
|
"learning_rate": 0.000199328116615274, |
|
"loss": 0.9859, |
|
"step": 527 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.8291284403669725, |
|
"eval_loss": 1.0127737522125244, |
|
"eval_runtime": 2.815, |
|
"eval_samples_per_second": 309.77, |
|
"eval_steps_per_second": 2.487, |
|
"step": 527 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 7.43062162399292, |
|
"learning_rate": 0.00013288541107684933, |
|
"loss": 0.4754, |
|
"step": 1054 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8268348623853211, |
|
"eval_loss": 1.1078842878341675, |
|
"eval_runtime": 2.8191, |
|
"eval_samples_per_second": 309.317, |
|
"eval_steps_per_second": 2.483, |
|
"step": 1054 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2108, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 4, |
|
"save_steps": 500, |
|
"total_flos": 16141525436100.0, |
|
"train_batch_size": 128, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.6434351873812945, |
|
"learning_rate": 0.00026577082215369866, |
|
"num_train_epochs": 4, |
|
"temperature": 15 |
|
} |
|
} |
|
|