{ "best_metric": 0.9909600298841987, "best_model_checkpoint": "/home/shared/dt01/temutauro/ccasimiro/berta/src/finetuning/pos/roberta-base-ca-cased-pos/checkpoint-1230", "epoch": 9.99878197320341, "global_step": 4100, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "eval_accuracy": 0.9902717208990272, "eval_f1": 0.9884402778815269, "eval_loss": 0.04564520716667175, "eval_precision": 0.9881081282903335, "eval_recall": 0.9887726508499907, "eval_runtime": 13.2852, "eval_samples_per_second": 128.639, "step": 410 }, { "epoch": 1.22, "learning_rate": 4.390243902439025e-05, "loss": 0.1804, "step": 500 }, { "epoch": 2.0, "eval_accuracy": 0.9918077649676018, "eval_f1": 0.9899899152130878, "eval_loss": 0.036869727075099945, "eval_precision": 0.9896941861767671, "eval_recall": 0.9902858210349337, "eval_runtime": 13.3317, "eval_samples_per_second": 128.191, "step": 820 }, { "epoch": 2.44, "learning_rate": 3.780487804878049e-05, "loss": 0.0303, "step": 1000 }, { "epoch": 3.0, "eval_accuracy": 0.992355091015025, "eval_f1": 0.9909600298841987, "eval_loss": 0.03579937666654587, "eval_precision": 0.9907749766573296, "eval_recall": 0.9911451522510741, "eval_runtime": 13.2482, "eval_samples_per_second": 128.999, "step": 1230 }, { "epoch": 3.66, "learning_rate": 3.170731707317073e-05, "loss": 0.0194, "step": 1500 }, { "epoch": 4.0, "eval_accuracy": 0.9921079115097371, "eval_f1": 0.9907175675170894, "eval_loss": 0.037922825664281845, "eval_precision": 0.9904955745602569, "eval_recall": 0.9909396600037362, "eval_runtime": 13.1871, "eval_samples_per_second": 129.596, "step": 1640 }, { "epoch": 4.88, "learning_rate": 2.5609756097560977e-05, "loss": 0.0133, "step": 2000 }, { "epoch": 5.0, "eval_accuracy": 0.992231501262381, "eval_f1": 0.9908294577986965, "eval_loss": 0.03801530599594116, "eval_precision": 0.9906259336719451, "eval_recall": 0.991033065570708, "eval_runtime": 13.3822, "eval_samples_per_second": 127.707, "step": 2050 }, { "epoch": 6.0, "eval_accuracy": 0.9916841752149579, "eval_f1": 0.9903335170120761, "eval_loss": 0.04094540327787399, "eval_precision": 0.9902317849872061, "eval_recall": 0.9904352699420885, "eval_runtime": 13.2046, "eval_samples_per_second": 129.424, "step": 2460 }, { "epoch": 6.1, "learning_rate": 1.9512195121951222e-05, "loss": 0.0085, "step": 2500 }, { "epoch": 7.0, "eval_accuracy": 0.9918430763255001, "eval_f1": 0.9904548426263192, "eval_loss": 0.04267619550228119, "eval_precision": 0.9903623459096003, "eval_recall": 0.9905473566224547, "eval_runtime": 13.3294, "eval_samples_per_second": 128.212, "step": 2870 }, { "epoch": 7.32, "learning_rate": 1.3414634146341466e-05, "loss": 0.0059, "step": 3000 }, { "epoch": 8.0, "eval_accuracy": 0.9922668126202793, "eval_f1": 0.9909512826019965, "eval_loss": 0.04542930796742439, "eval_precision": 0.9907014956028157, "eval_recall": 0.9912011955912572, "eval_runtime": 13.2987, "eval_samples_per_second": 128.508, "step": 3280 }, { "epoch": 8.54, "learning_rate": 7.317073170731707e-06, "loss": 0.0037, "step": 3500 }, { "epoch": 9.0, "eval_accuracy": 0.991966666078144, "eval_f1": 0.9906329090280827, "eval_loss": 0.04698851332068443, "eval_precision": 0.9904756568995462, "eval_recall": 0.9907902110965814, "eval_runtime": 13.2254, "eval_samples_per_second": 129.221, "step": 3690 }, { "epoch": 9.76, "learning_rate": 1.2195121951219514e-06, "loss": 0.0028, "step": 4000 }, { "epoch": 10.0, "eval_accuracy": 0.9919843217570932, "eval_f1": 0.9906423354937522, "eval_loss": 0.04776829481124878, "eval_precision": 0.9904758347650706, "eval_recall": 0.9908088922099757, "eval_runtime": 13.2102, "eval_samples_per_second": 129.37, "step": 4100 }, { "epoch": 10.0, "step": 4100, "total_flos": 0, "train_runtime": 3867.6486, "train_samples_per_second": 1.06 } ], "max_steps": 4100, "num_train_epochs": 10, "total_flos": 0, "trial_name": null, "trial_params": null }