|
{ |
|
"best_metric": 0.16344858705997467, |
|
"best_model_checkpoint": "pubmedbert_caption+ref_RTX6000/checkpoint-1230", |
|
"epoch": 3.0, |
|
"eval_steps": 500, |
|
"global_step": 3690, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.4065040650406504, |
|
"grad_norm": 7.820664405822754, |
|
"learning_rate": 2.75609756097561e-05, |
|
"loss": 0.2074, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.8130081300813008, |
|
"grad_norm": 2.407073974609375, |
|
"learning_rate": 2.5121951219512197e-05, |
|
"loss": 0.1646, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.9358961251405786, |
|
"eval_f1": 0.9313383960406174, |
|
"eval_f1_medical": 0.9490285342655068, |
|
"eval_f1_non_medical": 0.9136482578157279, |
|
"eval_loss": 0.16344858705997467, |
|
"eval_precision": 0.9352860582386011, |
|
"eval_recall": 0.9279290617594869, |
|
"eval_runtime": 93.0813, |
|
"eval_samples_per_second": 105.08, |
|
"eval_steps_per_second": 3.287, |
|
"step": 1230 |
|
}, |
|
{ |
|
"epoch": 1.2195121951219512, |
|
"grad_norm": 2.0749707221984863, |
|
"learning_rate": 2.2682926829268295e-05, |
|
"loss": 0.131, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 1.6260162601626016, |
|
"grad_norm": 3.7739999294281006, |
|
"learning_rate": 2.024390243902439e-05, |
|
"loss": 0.1145, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.9353849299662611, |
|
"eval_f1": 0.9315011393590601, |
|
"eval_f1_medical": 0.9478117258464079, |
|
"eval_f1_non_medical": 0.9151905528717122, |
|
"eval_loss": 0.1923774778842926, |
|
"eval_precision": 0.9306285500446541, |
|
"eval_recall": 0.9324104388612393, |
|
"eval_runtime": 92.7173, |
|
"eval_samples_per_second": 105.493, |
|
"eval_steps_per_second": 3.3, |
|
"step": 2460 |
|
}, |
|
{ |
|
"epoch": 2.032520325203252, |
|
"grad_norm": 9.552169799804688, |
|
"learning_rate": 1.7804878048780488e-05, |
|
"loss": 0.1044, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 2.4390243902439024, |
|
"grad_norm": 0.6083847284317017, |
|
"learning_rate": 1.5365853658536586e-05, |
|
"loss": 0.0656, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 2.845528455284553, |
|
"grad_norm": 2.998614549636841, |
|
"learning_rate": 1.2926829268292684e-05, |
|
"loss": 0.0744, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.9359983641754421, |
|
"eval_f1": 0.9318359818739486, |
|
"eval_f1_medical": 0.9486801114936875, |
|
"eval_f1_non_medical": 0.9149918522542096, |
|
"eval_loss": 0.23488560318946838, |
|
"eval_precision": 0.9329783496995749, |
|
"eval_recall": 0.9307471811921053, |
|
"eval_runtime": 92.6853, |
|
"eval_samples_per_second": 105.529, |
|
"eval_steps_per_second": 3.301, |
|
"step": 3690 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 6150, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 3.106719963933312e+16, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|