|
{ |
|
"best_metric": 0.7082601054481547, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-11/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": 7.572170734405518, |
|
"learning_rate": 0.00012123385931636098, |
|
"loss": 0.5934, |
|
"step": 214 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7082601054481547, |
|
"eval_f1": 0.435374149659864, |
|
"eval_loss": 0.5416340827941895, |
|
"eval_mcc": 0.28153811271695595, |
|
"eval_precision": 0.6134185303514377, |
|
"eval_recall": 0.3374340949033392, |
|
"eval_runtime": 3.1348, |
|
"eval_samples_per_second": 544.534, |
|
"eval_steps_per_second": 17.226, |
|
"step": 214 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 1926, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 9, |
|
"save_steps": 500, |
|
"total_flos": 524775664440.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.9696180923551023, |
|
"learning_rate": 0.0001363880917309061, |
|
"num_train_epochs": 9, |
|
"temperature": 20 |
|
} |
|
} |
|
|