|
{ |
|
"best_metric": 0.8061926605504587, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-5/checkpoint-527", |
|
"epoch": 1.0, |
|
"eval_steps": 500, |
|
"global_step": 527, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 8.730439186096191, |
|
"learning_rate": 8.635300806475536e-05, |
|
"loss": 1.4959, |
|
"step": 527 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.8061926605504587, |
|
"eval_loss": 1.2476624250411987, |
|
"eval_runtime": 2.8128, |
|
"eval_samples_per_second": 310.007, |
|
"eval_steps_per_second": 2.489, |
|
"step": 527 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2635, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"total_flos": 8057768762220.0, |
|
"train_batch_size": 128, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.553843836109961, |
|
"learning_rate": 0.0001079412600809442, |
|
"num_train_epochs": 5, |
|
"temperature": 29 |
|
} |
|
} |
|
|