|
{ |
|
"best_metric": 0.7270058708414873, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-27/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": 3.0442044734954834, |
|
"learning_rate": 0.00047720243978875736, |
|
"loss": 0.5494, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7270058708414873, |
|
"eval_f1": 0.7787470261697065, |
|
"eval_loss": 0.4914495050907135, |
|
"eval_precision": 0.6546666666666666, |
|
"eval_recall": 0.9608610567514677, |
|
"eval_runtime": 28.018, |
|
"eval_samples_per_second": 36.476, |
|
"eval_steps_per_second": 0.571, |
|
"step": 48 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 240, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"total_flos": 235695197280.0, |
|
"train_batch_size": 64, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.8647030881639047, |
|
"learning_rate": 0.0005965030497359467, |
|
"num_train_epochs": 5, |
|
"temperature": 29 |
|
} |
|
} |
|
|