|
{ |
|
"best_metric": 0.5168316831683168, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-2/checkpoint-1188", |
|
"epoch": 2.0, |
|
"eval_steps": 500, |
|
"global_step": 1188, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 0.7887440323829651, |
|
"learning_rate": 0.00015586356006012654, |
|
"loss": 0.3246, |
|
"step": 594 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.5148514851485149, |
|
"eval_f1": 0.16382252559726962, |
|
"eval_loss": 0.3221835792064667, |
|
"eval_precision": 0.5853658536585366, |
|
"eval_recall": 0.09523809523809523, |
|
"eval_runtime": 15.4228, |
|
"eval_samples_per_second": 32.744, |
|
"eval_steps_per_second": 1.037, |
|
"step": 594 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 0.6338050961494446, |
|
"learning_rate": 0.00013854538672011249, |
|
"loss": 0.3178, |
|
"step": 1188 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.5168316831683168, |
|
"eval_f1": 0.17006802721088435, |
|
"eval_loss": 0.31132203340530396, |
|
"eval_precision": 0.5952380952380952, |
|
"eval_recall": 0.0992063492063492, |
|
"eval_runtime": 15.3986, |
|
"eval_samples_per_second": 32.795, |
|
"eval_steps_per_second": 1.039, |
|
"step": 1188 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 5940, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"save_steps": 500, |
|
"total_flos": 1555686566280.0, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.39860510957002215, |
|
"learning_rate": 0.0001731817334001406, |
|
"num_train_epochs": 10, |
|
"per_device_train_batch_size": 16, |
|
"temperature": 4 |
|
} |
|
} |
|
|