|
{ |
|
"best_metric": 0.7651663405088063, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-3/checkpoint-96", |
|
"epoch": 1.0, |
|
"eval_steps": 500, |
|
"global_step": 96, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 1.4839651584625244, |
|
"learning_rate": 0.00013176351778592356, |
|
"loss": 0.4981, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7651663405088063, |
|
"eval_f1": 0.781021897810219, |
|
"eval_loss": 0.4340898096561432, |
|
"eval_precision": 0.7316239316239316, |
|
"eval_recall": 0.837573385518591, |
|
"eval_runtime": 28.2114, |
|
"eval_samples_per_second": 36.227, |
|
"eval_steps_per_second": 1.134, |
|
"step": 96 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 192, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 2, |
|
"save_steps": 500, |
|
"total_flos": 235695197280.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.7300485455769454, |
|
"learning_rate": 0.0002635270355718471, |
|
"num_train_epochs": 2, |
|
"temperature": 7 |
|
} |
|
} |
|
|