|
{ |
|
"best_metric": 0.5459882583170255, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-3/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": 0.7568773031234741, |
|
"learning_rate": 0.00039540069434609415, |
|
"loss": 0.3274, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.5430528375733855, |
|
"eval_f1": 0.20442930153321975, |
|
"eval_loss": 0.30545827746391296, |
|
"eval_mcc": 0.1640968755879385, |
|
"eval_precision": 0.7894736842105263, |
|
"eval_recall": 0.11741682974559686, |
|
"eval_runtime": 66.7048, |
|
"eval_samples_per_second": 15.321, |
|
"eval_steps_per_second": 0.48, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 1.822717547416687, |
|
"learning_rate": 0.0003295005786217451, |
|
"loss": 0.3076, |
|
"step": 384 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.5459882583170255, |
|
"eval_f1": 0.21355932203389827, |
|
"eval_loss": 0.2995118200778961, |
|
"eval_mcc": 0.17219814389174506, |
|
"eval_precision": 0.7974683544303798, |
|
"eval_recall": 0.1232876712328767, |
|
"eval_runtime": 66.8, |
|
"eval_samples_per_second": 15.299, |
|
"eval_steps_per_second": 0.479, |
|
"step": 384 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 1344, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 7, |
|
"save_steps": 500, |
|
"total_flos": 471390394560.0, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.4369516344275761, |
|
"learning_rate": 0.00046130081007044317, |
|
"num_train_epochs": 7, |
|
"per_device_train_batch_size": 16, |
|
"temperature": 15 |
|
} |
|
} |
|
|