| { | |
| "best_metric": 0.4296023125768376, | |
| "best_model_checkpoint": "bart-large/checkpoint-2569", | |
| "epoch": 2.0, | |
| "eval_steps": 500, | |
| "global_step": 5138, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.19, | |
| "learning_rate": 4.967886337096146e-05, | |
| "loss": 2.0273, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "learning_rate": 4.9354482937589206e-05, | |
| "loss": 1.4983, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "learning_rate": 4.903140002595043e-05, | |
| "loss": 1.4727, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "learning_rate": 4.870701959257818e-05, | |
| "loss": 1.3945, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "learning_rate": 4.8383287920072665e-05, | |
| "loss": 1.1685, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6847405112316034, | |
| "eval_f1_macro": 0.4296023125768376, | |
| "eval_f1_micro": 0.6847405112316034, | |
| "eval_f1_weighted": 0.6471198955620663, | |
| "eval_loss": 1.258675456047058, | |
| "eval_macro_fpr": 0.03310536835500512, | |
| "eval_macro_sensitivity": 0.47197476920519743, | |
| "eval_macro_specificity": 0.9759825618150952, | |
| "eval_precision": 0.6359796796355663, | |
| "eval_precision_macro": 0.4175869918662546, | |
| "eval_recall": 0.6847405112316034, | |
| "eval_recall_macro": 0.47197476920519743, | |
| "eval_runtime": 166.2079, | |
| "eval_samples_per_second": 7.767, | |
| "eval_steps_per_second": 3.887, | |
| "eval_weighted_fpr": 0.03183916138621607, | |
| "eval_weighted_sensitivity": 0.6847405112316034, | |
| "eval_weighted_specificity": 0.9549979159948256, | |
| "step": 2569 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "learning_rate": 4.80589074867004e-05, | |
| "loss": 1.2814, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "learning_rate": 4.7734527053328146e-05, | |
| "loss": 1.2579, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "learning_rate": 4.741079538082263e-05, | |
| "loss": 1.246, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "learning_rate": 4.708641494745037e-05, | |
| "loss": 1.0685, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 1.95, | |
| "learning_rate": 4.676203451407811e-05, | |
| "loss": 1.1965, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.6638264910921766, | |
| "eval_f1_macro": 0.3954707529203812, | |
| "eval_f1_micro": 0.6638264910921766, | |
| "eval_f1_weighted": 0.6467821848395333, | |
| "eval_loss": 1.1623183488845825, | |
| "eval_macro_fpr": 0.03422706134984445, | |
| "eval_macro_sensitivity": 0.4261017849773373, | |
| "eval_macro_specificity": 0.9752839802406176, | |
| "eval_precision": 0.6943370263824146, | |
| "eval_precision_macro": 0.45636498568634104, | |
| "eval_recall": 0.6638264910921766, | |
| "eval_recall_macro": 0.4261017849773373, | |
| "eval_runtime": 320.2013, | |
| "eval_samples_per_second": 4.032, | |
| "eval_steps_per_second": 2.017, | |
| "eval_weighted_fpr": 0.03490990990990991, | |
| "eval_weighted_sensitivity": 0.6638264910921766, | |
| "eval_weighted_specificity": 0.9654332125170877, | |
| "step": 5138 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 77070, | |
| "num_train_epochs": 30, | |
| "save_steps": 500, | |
| "total_flos": 1.1168202440134656e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |