|
{ |
|
"best_metric": 0.6666666666666666, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-15/checkpoint-160", |
|
"epoch": 1.0, |
|
"eval_steps": 500, |
|
"global_step": 160, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 1.2901545763015747, |
|
"learning_rate": 0.0008412100077685249, |
|
"loss": 0.6355, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.6666666666666666, |
|
"eval_f1": 0.0, |
|
"eval_loss": 0.6301137804985046, |
|
"eval_mcc": 0.0, |
|
"eval_precision": 0.0, |
|
"eval_recall": 0.0, |
|
"eval_runtime": 1.871, |
|
"eval_samples_per_second": 681.46, |
|
"eval_steps_per_second": 21.379, |
|
"step": 160 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 1600, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"save_steps": 500, |
|
"total_flos": 291755437920.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.9881027780146323, |
|
"learning_rate": 0.000934677786409472, |
|
"num_train_epochs": 10, |
|
"temperature": 23 |
|
} |
|
} |
|
|