|
{ |
|
"best_metric": 0.700587084148728, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-16/checkpoint-48", |
|
"epoch": 1.0, |
|
"eval_steps": 500, |
|
"global_step": 48, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 1.2878928184509277, |
|
"learning_rate": 0.00013115653902338105, |
|
"loss": 0.4962, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.700587084148728, |
|
"eval_f1": 0.662251655629139, |
|
"eval_loss": 0.4426267147064209, |
|
"eval_precision": 0.759493670886076, |
|
"eval_recall": 0.5870841487279843, |
|
"eval_runtime": 27.3, |
|
"eval_samples_per_second": 37.436, |
|
"eval_steps_per_second": 0.586, |
|
"step": 48 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 384, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 8, |
|
"save_steps": 500, |
|
"total_flos": 235695197280.0, |
|
"train_batch_size": 64, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.6758158495370239, |
|
"learning_rate": 0.00014989318745529262, |
|
"num_train_epochs": 8, |
|
"temperature": 20 |
|
} |
|
} |
|
|