|
{ |
|
"best_metric": 0.7065026362038664, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-37/checkpoint-214", |
|
"epoch": 1.0, |
|
"eval_steps": 500, |
|
"global_step": 214, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 2.5660171508789062, |
|
"learning_rate": 0.0005426960660121868, |
|
"loss": 0.3936, |
|
"step": 214 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7065026362038664, |
|
"eval_f1": 0.3275167785234899, |
|
"eval_loss": 0.3753478229045868, |
|
"eval_mcc": 0.2588181173815382, |
|
"eval_precision": 0.6931818181818182, |
|
"eval_recall": 0.21441124780316345, |
|
"eval_runtime": 3.1566, |
|
"eval_samples_per_second": 540.772, |
|
"eval_steps_per_second": 17.107, |
|
"step": 214 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 1070, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"total_flos": 524775664440.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.6249127121707758, |
|
"learning_rate": 0.0006783700825152334, |
|
"num_train_epochs": 5, |
|
"temperature": 13 |
|
} |
|
} |
|
|