|
{ |
|
"best_metric": 0.6977152899824253, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-18/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": 3.156388282775879, |
|
"learning_rate": 0.0004099662259457134, |
|
"loss": 0.4275, |
|
"step": 214 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.6977152899824253, |
|
"eval_f1": 0.2366863905325444, |
|
"eval_loss": 0.4133159816265106, |
|
"eval_mcc": 0.22729232073570052, |
|
"eval_precision": 0.7476635514018691, |
|
"eval_recall": 0.140597539543058, |
|
"eval_runtime": 3.1854, |
|
"eval_samples_per_second": 535.89, |
|
"eval_steps_per_second": 16.953, |
|
"step": 214 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 3638, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 17, |
|
"save_steps": 500, |
|
"total_flos": 524775664440.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.6840699849013465, |
|
"learning_rate": 0.00043558911506732053, |
|
"num_train_epochs": 17, |
|
"temperature": 49 |
|
} |
|
} |
|
|