| { | |
| "best_metric": 0.722931923188587, | |
| "best_model_checkpoint": "xlnet-base-cased/checkpoint-1929", | |
| "epoch": 5.0, | |
| "eval_steps": 500, | |
| "global_step": 3215, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.78, | |
| "learning_rate": 4.871695178849145e-05, | |
| "loss": 1.2613, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7676219984508134, | |
| "eval_f1_macro": 0.4818756771742453, | |
| "eval_f1_micro": 0.7676219984508135, | |
| "eval_f1_weighted": 0.7524385212708887, | |
| "eval_loss": 0.775787353515625, | |
| "eval_macro_fpr": 0.022019799606126652, | |
| "eval_macro_sensitivity": 0.5128622254580788, | |
| "eval_macro_specificity": 0.9823717840367622, | |
| "eval_precision": 0.7672637518290021, | |
| "eval_precision_macro": 0.5269420024270713, | |
| "eval_recall": 0.7676219984508134, | |
| "eval_recall_macro": 0.5128622254580788, | |
| "eval_runtime": 65.0712, | |
| "eval_samples_per_second": 19.84, | |
| "eval_steps_per_second": 2.49, | |
| "eval_weighted_fpr": 0.021165514321998025, | |
| "eval_weighted_sensitivity": 0.7676219984508134, | |
| "eval_weighted_specificity": 0.9679547621006213, | |
| "step": 643 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "learning_rate": 4.7420943494038366e-05, | |
| "loss": 0.7364, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8071262587141751, | |
| "eval_f1_macro": 0.701878478303997, | |
| "eval_f1_micro": 0.8071262587141751, | |
| "eval_f1_weighted": 0.8012788916547595, | |
| "eval_loss": 0.6754755973815918, | |
| "eval_macro_fpr": 0.01739858713969909, | |
| "eval_macro_sensitivity": 0.6971761972643127, | |
| "eval_macro_specificity": 0.9854830758512745, | |
| "eval_precision": 0.8087721671110009, | |
| "eval_precision_macro": 0.7425135911700289, | |
| "eval_recall": 0.8071262587141751, | |
| "eval_recall_macro": 0.6971761972643127, | |
| "eval_runtime": 86.774, | |
| "eval_samples_per_second": 14.878, | |
| "eval_steps_per_second": 1.867, | |
| "eval_weighted_fpr": 0.016782368403316036, | |
| "eval_weighted_sensitivity": 0.8071262587141751, | |
| "eval_weighted_specificity": 0.9751198790549438, | |
| "step": 1286 | |
| }, | |
| { | |
| "epoch": 2.33, | |
| "learning_rate": 4.612493519958528e-05, | |
| "loss": 0.6021, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8063516653756778, | |
| "eval_f1_macro": 0.722931923188587, | |
| "eval_f1_micro": 0.8063516653756778, | |
| "eval_f1_weighted": 0.8013697737227732, | |
| "eval_loss": 0.8442708253860474, | |
| "eval_macro_fpr": 0.01757802934678216, | |
| "eval_macro_sensitivity": 0.7262014539622089, | |
| "eval_macro_specificity": 0.9852110484486459, | |
| "eval_precision": 0.8016312862866737, | |
| "eval_precision_macro": 0.7269969408457856, | |
| "eval_recall": 0.8063516653756778, | |
| "eval_recall_macro": 0.7262014539622089, | |
| "eval_runtime": 89.8454, | |
| "eval_samples_per_second": 14.369, | |
| "eval_steps_per_second": 1.803, | |
| "eval_weighted_fpr": 0.01686454398273071, | |
| "eval_weighted_sensitivity": 0.8063516653756778, | |
| "eval_weighted_specificity": 0.9718140613540133, | |
| "step": 1929 | |
| }, | |
| { | |
| "epoch": 3.11, | |
| "learning_rate": 4.4828926905132196e-05, | |
| "loss": 0.5435, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 3.89, | |
| "learning_rate": 4.353551062726802e-05, | |
| "loss": 0.4361, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8001549186676995, | |
| "eval_f1_macro": 0.7051095861561788, | |
| "eval_f1_micro": 0.8001549186676995, | |
| "eval_f1_weighted": 0.7970808578587494, | |
| "eval_loss": 0.8849796056747437, | |
| "eval_macro_fpr": 0.017973543700983616, | |
| "eval_macro_sensitivity": 0.704754303632947, | |
| "eval_macro_specificity": 0.984883284344937, | |
| "eval_precision": 0.8001040615771999, | |
| "eval_precision_macro": 0.716655759638538, | |
| "eval_recall": 0.8001549186676995, | |
| "eval_recall_macro": 0.704754303632947, | |
| "eval_runtime": 88.029, | |
| "eval_samples_per_second": 14.666, | |
| "eval_steps_per_second": 1.84, | |
| "eval_weighted_fpr": 0.017527173913043478, | |
| "eval_weighted_sensitivity": 0.8001549186676995, | |
| "eval_weighted_specificity": 0.9730943465063553, | |
| "step": 2572 | |
| }, | |
| { | |
| "epoch": 4.67, | |
| "learning_rate": 4.223950233281493e-05, | |
| "loss": 0.3359, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.801704105344694, | |
| "eval_f1_macro": 0.6458763793901992, | |
| "eval_f1_micro": 0.801704105344694, | |
| "eval_f1_weighted": 0.7961730342415405, | |
| "eval_loss": 1.126444935798645, | |
| "eval_macro_fpr": 0.01805997413754306, | |
| "eval_macro_sensitivity": 0.6681366041180199, | |
| "eval_macro_specificity": 0.9849908327913178, | |
| "eval_precision": 0.7981459541145973, | |
| "eval_precision_macro": 0.6531140613829887, | |
| "eval_recall": 0.801704105344694, | |
| "eval_recall_macro": 0.6681366041180199, | |
| "eval_runtime": 90.8127, | |
| "eval_samples_per_second": 14.216, | |
| "eval_steps_per_second": 1.784, | |
| "eval_weighted_fpr": 0.0173606401736064, | |
| "eval_weighted_sensitivity": 0.801704105344694, | |
| "eval_weighted_specificity": 0.973158386525071, | |
| "step": 3215 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 19290, | |
| "num_train_epochs": 30, | |
| "save_steps": 500, | |
| "total_flos": 7319363341731840.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |