|
{ |
|
"best_metric": 0.7818003913894325, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-3/checkpoint-1532", |
|
"epoch": 2.0, |
|
"eval_steps": 500, |
|
"global_step": 1532, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 2.53190279006958, |
|
"learning_rate": 0.00016492442050886904, |
|
"loss": 0.4371, |
|
"step": 766 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7475538160469667, |
|
"eval_f1": 0.7465618860510805, |
|
"eval_loss": 0.4075860381126404, |
|
"eval_precision": 0.7495069033530573, |
|
"eval_recall": 0.7436399217221135, |
|
"eval_runtime": 132.2506, |
|
"eval_samples_per_second": 7.728, |
|
"eval_steps_per_second": 1.936, |
|
"step": 766 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 15.610742568969727, |
|
"learning_rate": 0.00014430886794526042, |
|
"loss": 0.4097, |
|
"step": 1532 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7818003913894325, |
|
"eval_f1": 0.81053525913339, |
|
"eval_loss": 0.3935793936252594, |
|
"eval_precision": 0.7162162162162162, |
|
"eval_recall": 0.9334637964774951, |
|
"eval_runtime": 132.8723, |
|
"eval_samples_per_second": 7.692, |
|
"eval_steps_per_second": 1.927, |
|
"step": 1532 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 6894, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 9, |
|
"save_steps": 500, |
|
"total_flos": 471390394560.0, |
|
"train_batch_size": 4, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.6411063430664922, |
|
"learning_rate": 0.00018553997307247768, |
|
"num_train_epochs": 9, |
|
"temperature": 23 |
|
} |
|
} |
|
|