|
{ |
|
"best_metric": 0.662426614481409, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-8/checkpoint-96", |
|
"epoch": 1.0, |
|
"eval_steps": 500, |
|
"global_step": 96, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 0.6551002860069275, |
|
"learning_rate": 6.801658733829082e-05, |
|
"loss": 0.4365, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.662426614481409, |
|
"eval_f1": 0.558258642765685, |
|
"eval_loss": 0.3849833011627197, |
|
"eval_precision": 0.8074074074074075, |
|
"eval_recall": 0.42661448140900193, |
|
"eval_runtime": 25.2796, |
|
"eval_samples_per_second": 40.428, |
|
"eval_steps_per_second": 1.266, |
|
"step": 96 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 864, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 9, |
|
"save_steps": 500, |
|
"total_flos": 235695197280.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.5720238366992816, |
|
"learning_rate": 7.651866075557717e-05, |
|
"num_train_epochs": 9, |
|
"temperature": 25 |
|
} |
|
} |
|
|