|
{ |
|
"best_metric": 0.8101761252446184, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-48/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": 6.156297206878662, |
|
"learning_rate": 6.847131652416489e-05, |
|
"loss": 0.5617, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7984344422700587, |
|
"eval_f1": 0.8186619718309858, |
|
"eval_loss": 0.4545396566390991, |
|
"eval_mcc": 0.6123004481387646, |
|
"eval_precision": 0.744, |
|
"eval_recall": 0.9099804305283757, |
|
"eval_runtime": 66.7324, |
|
"eval_samples_per_second": 15.315, |
|
"eval_steps_per_second": 0.48, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 6.695183277130127, |
|
"learning_rate": 0.0, |
|
"loss": 0.4646, |
|
"step": 384 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8101761252446184, |
|
"eval_f1": 0.8245931283905967, |
|
"eval_loss": 0.43737441301345825, |
|
"eval_mcc": 0.6289075983671709, |
|
"eval_precision": 0.7663865546218488, |
|
"eval_recall": 0.8923679060665362, |
|
"eval_runtime": 66.9568, |
|
"eval_samples_per_second": 15.264, |
|
"eval_steps_per_second": 0.478, |
|
"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": 0.8915947606865525, |
|
"learning_rate": 0.00013694263304832977, |
|
"num_train_epochs": 2, |
|
"per_device_train_batch_size": 16, |
|
"temperature": 24 |
|
} |
|
} |
|
|