|
{ |
|
"best_metric": 0.8972469949592865, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-42/checkpoint-1290", |
|
"epoch": 2.0, |
|
"eval_steps": 500, |
|
"global_step": 1290, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 1.0985572338104248, |
|
"learning_rate": 0.00015144713450034053, |
|
"loss": 0.3039, |
|
"step": 645 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.8945327646374563, |
|
"eval_f1": 0.19287833827893175, |
|
"eval_loss": 0.2821837365627289, |
|
"eval_mcc": 0.23408659817261018, |
|
"eval_precision": 0.6190476190476191, |
|
"eval_recall": 0.11423550087873462, |
|
"eval_runtime": 9.9917, |
|
"eval_samples_per_second": 516.228, |
|
"eval_steps_per_second": 16.213, |
|
"step": 645 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 0.5096140503883362, |
|
"learning_rate": 0.0001135853508752554, |
|
"loss": 0.2797, |
|
"step": 1290 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8972469949592865, |
|
"eval_f1": 0.2182890855457227, |
|
"eval_loss": 0.27733176946640015, |
|
"eval_mcc": 0.26666876109371096, |
|
"eval_precision": 0.6788990825688074, |
|
"eval_recall": 0.13005272407732865, |
|
"eval_runtime": 9.9433, |
|
"eval_samples_per_second": 518.739, |
|
"eval_steps_per_second": 16.292, |
|
"step": 1290 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 3225, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"total_flos": 3173885065200.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.8695064116191267, |
|
"learning_rate": 0.00018930891812542566, |
|
"num_train_epochs": 5, |
|
"temperature": 14 |
|
} |
|
} |
|
|