|
{ |
|
"best_metric": 0.4980430528375734, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-0/checkpoint-96", |
|
"epoch": 1.0, |
|
"eval_steps": 500, |
|
"global_step": 96, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 0.8380242586135864, |
|
"learning_rate": 8.6265645867868e-06, |
|
"loss": 0.6538, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.4980430528375734, |
|
"eval_f1": 0.06215722120658134, |
|
"eval_loss": 0.6460775136947632, |
|
"eval_precision": 0.4722222222222222, |
|
"eval_recall": 0.033268101761252444, |
|
"eval_runtime": 32.7473, |
|
"eval_samples_per_second": 31.209, |
|
"eval_steps_per_second": 0.977, |
|
"step": 96 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 576, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 6, |
|
"save_steps": 500, |
|
"total_flos": 235695197280.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.9136100763812092, |
|
"learning_rate": 1.035187750414416e-05, |
|
"num_train_epochs": 6, |
|
"temperature": 5 |
|
} |
|
} |
|
|