|
{ |
|
"best_metric": 0.7857142857142857, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-11/checkpoint-384", |
|
"epoch": 2.0, |
|
"eval_steps": 500, |
|
"global_step": 384, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 3.698505163192749, |
|
"learning_rate": 0.0004729463641993846, |
|
"loss": 0.4978, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7465753424657534, |
|
"eval_f1": 0.7821698906644239, |
|
"eval_loss": 0.46408411860466003, |
|
"eval_mcc": 0.5218028809356926, |
|
"eval_precision": 0.6858407079646017, |
|
"eval_recall": 0.9099804305283757, |
|
"eval_runtime": 66.6598, |
|
"eval_samples_per_second": 15.332, |
|
"eval_steps_per_second": 0.48, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 4.018568515777588, |
|
"learning_rate": 0.0, |
|
"loss": 0.4526, |
|
"step": 384 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7857142857142857, |
|
"eval_f1": 0.7999999999999999, |
|
"eval_loss": 0.43016862869262695, |
|
"eval_mcc": 0.5773502691896257, |
|
"eval_precision": 0.75, |
|
"eval_recall": 0.8571428571428571, |
|
"eval_runtime": 66.4246, |
|
"eval_samples_per_second": 15.386, |
|
"eval_steps_per_second": 0.482, |
|
"step": 384 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 384, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 2, |
|
"save_steps": 500, |
|
"total_flos": 471390394560.0, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.7646810195593648, |
|
"learning_rate": 0.0009458927283987692, |
|
"num_train_epochs": 2, |
|
"per_device_train_batch_size": 16, |
|
"temperature": 27 |
|
} |
|
} |
|
|