|
{ |
|
"best_metric": 0.7915851272015656, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-12/checkpoint-192", |
|
"epoch": 2.0, |
|
"eval_steps": 500, |
|
"global_step": 192, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 1.4721163511276245, |
|
"learning_rate": 0.0005951476674473283, |
|
"loss": 0.4971, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7671232876712328, |
|
"eval_f1": 0.7989864864864864, |
|
"eval_loss": 0.4431186616420746, |
|
"eval_precision": 0.7028231797919762, |
|
"eval_recall": 0.9256360078277887, |
|
"eval_runtime": 28.4119, |
|
"eval_samples_per_second": 35.971, |
|
"eval_steps_per_second": 1.126, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 1.945635199546814, |
|
"learning_rate": 0.00029757383372366414, |
|
"loss": 0.4421, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7915851272015656, |
|
"eval_f1": 0.8149435273675064, |
|
"eval_loss": 0.4262682795524597, |
|
"eval_precision": 0.7328125, |
|
"eval_recall": 0.9178082191780822, |
|
"eval_runtime": 28.1497, |
|
"eval_samples_per_second": 36.306, |
|
"eval_steps_per_second": 1.137, |
|
"step": 192 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 288, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"total_flos": 471390394560.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.7419170223133877, |
|
"learning_rate": 0.0008927215011709925, |
|
"num_train_epochs": 3, |
|
"temperature": 30 |
|
} |
|
} |
|
|