{ "best_metric": null, "best_model_checkpoint": null, "epoch": 20.0, "eval_steps": 500, "global_step": 2440, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 5.0601301193237305, "learning_rate": 4.75e-05, "loss": 0.5621, "step": 122 }, { "epoch": 1.0, "eval_accuracy": 0.7218045112781954, "eval_f1": 0.6526816032372154, "eval_loss": 0.5100470185279846, "eval_precision": 0.6593383311603651, "eval_recall": 0.6481633024186215, "eval_runtime": 5.1807, "eval_samples_per_second": 77.017, "eval_steps_per_second": 9.651, "step": 122 }, { "epoch": 2.0, "grad_norm": 3.8218886852264404, "learning_rate": 4.5e-05, "loss": 0.5049, "step": 244 }, { "epoch": 2.0, "eval_accuracy": 0.7343358395989975, "eval_f1": 0.7011278195488722, "eval_loss": 0.48896074295043945, "eval_precision": 0.6944563758389262, "eval_recall": 0.7195399163484271, "eval_runtime": 5.07, "eval_samples_per_second": 78.697, "eval_steps_per_second": 9.862, "step": 244 }, { "epoch": 3.0, "grad_norm": 4.400880813598633, "learning_rate": 4.25e-05, "loss": 0.4776, "step": 366 }, { "epoch": 3.0, "eval_accuracy": 0.7593984962406015, "eval_f1": 0.7216117216117216, "eval_loss": 0.4479529559612274, "eval_precision": 0.7150252525252525, "eval_recall": 0.7322695035460993, "eval_runtime": 5.0526, "eval_samples_per_second": 78.969, "eval_steps_per_second": 9.896, "step": 366 }, { "epoch": 4.0, "grad_norm": 2.5400054454803467, "learning_rate": 4e-05, "loss": 0.4422, "step": 488 }, { "epoch": 4.0, "eval_accuracy": 0.7944862155388471, "eval_f1": 0.7482456140350877, "eval_loss": 0.4104432165622711, "eval_precision": 0.75243993993994, "eval_recall": 0.7445899254409893, "eval_runtime": 5.1048, "eval_samples_per_second": 78.162, "eval_steps_per_second": 9.795, "step": 488 }, { "epoch": 5.0, "grad_norm": 1.0803650617599487, "learning_rate": 3.7500000000000003e-05, "loss": 0.4146, "step": 610 }, { "epoch": 5.0, "eval_accuracy": 0.7593984962406015, "eval_f1": 0.7282941777323799, "eval_loss": 0.42569735646247864, "eval_precision": 0.7202380952380952, "eval_recall": 0.7472722313147845, "eval_runtime": 5.0573, "eval_samples_per_second": 78.896, "eval_steps_per_second": 9.887, "step": 610 }, { "epoch": 6.0, "grad_norm": 1.867180585861206, "learning_rate": 3.5e-05, "loss": 0.3828, "step": 732 }, { "epoch": 6.0, "eval_accuracy": 0.8245614035087719, "eval_f1": 0.7894173351830629, "eval_loss": 0.3869302272796631, "eval_precision": 0.7880252100840336, "eval_recall": 0.7908710674668122, "eval_runtime": 5.0613, "eval_samples_per_second": 78.834, "eval_steps_per_second": 9.879, "step": 732 }, { "epoch": 7.0, "grad_norm": 1.7762138843536377, "learning_rate": 3.2500000000000004e-05, "loss": 0.3697, "step": 854 }, { "epoch": 7.0, "eval_accuracy": 0.8145363408521303, "eval_f1": 0.7854090354090355, "eval_loss": 0.3959118127822876, "eval_precision": 0.7765993265993265, "eval_recall": 0.7987815966539371, "eval_runtime": 5.0504, "eval_samples_per_second": 79.004, "eval_steps_per_second": 9.9, "step": 854 }, { "epoch": 8.0, "grad_norm": 5.161904335021973, "learning_rate": 3e-05, "loss": 0.3486, "step": 976 }, { "epoch": 8.0, "eval_accuracy": 0.8320802005012531, "eval_f1": 0.801779557335113, "eval_loss": 0.38075554370880127, "eval_precision": 0.7960927960927962, "eval_recall": 0.8086924895435534, "eval_runtime": 5.0574, "eval_samples_per_second": 78.895, "eval_steps_per_second": 9.887, "step": 976 }, { "epoch": 9.0, "grad_norm": 4.554713249206543, "learning_rate": 2.7500000000000004e-05, "loss": 0.3437, "step": 1098 }, { "epoch": 9.0, "eval_accuracy": 0.8270676691729323, "eval_f1": 0.7949075143216848, "eval_loss": 0.3737644851207733, "eval_precision": 0.7904105571847508, "eval_recall": 0.8001454809965449, "eval_runtime": 5.096, "eval_samples_per_second": 78.296, "eval_steps_per_second": 9.812, "step": 1098 }, { "epoch": 10.0, "grad_norm": 6.5807719230651855, "learning_rate": 2.5e-05, "loss": 0.3317, "step": 1220 }, { "epoch": 10.0, "eval_accuracy": 0.8471177944862155, "eval_f1": 0.8151164115613962, "eval_loss": 0.3643290102481842, "eval_precision": 0.8159193371512123, "eval_recall": 0.8143298781596654, "eval_runtime": 5.068, "eval_samples_per_second": 78.729, "eval_steps_per_second": 9.866, "step": 1220 }, { "epoch": 11.0, "grad_norm": 4.961609363555908, "learning_rate": 2.25e-05, "loss": 0.3114, "step": 1342 }, { "epoch": 11.0, "eval_accuracy": 0.8270676691729323, "eval_f1": 0.7967966933608887, "eval_loss": 0.36825552582740784, "eval_precision": 0.7902444649446494, "eval_recall": 0.8051463902527732, "eval_runtime": 5.058, "eval_samples_per_second": 78.884, "eval_steps_per_second": 9.885, "step": 1342 }, { "epoch": 12.0, "grad_norm": 10.724159240722656, "learning_rate": 2e-05, "loss": 0.3035, "step": 1464 }, { "epoch": 12.0, "eval_accuracy": 0.8345864661654135, "eval_f1": 0.8060710498409331, "eval_loss": 0.36597177386283875, "eval_precision": 0.7988372093023256, "eval_recall": 0.8154664484451719, "eval_runtime": 5.0532, "eval_samples_per_second": 78.96, "eval_steps_per_second": 9.895, "step": 1464 }, { "epoch": 13.0, "grad_norm": 1.6210856437683105, "learning_rate": 1.75e-05, "loss": 0.3117, "step": 1586 }, { "epoch": 13.0, "eval_accuracy": 0.8471177944862155, "eval_f1": 0.8141734808401475, "eval_loss": 0.3518490195274353, "eval_precision": 0.8166666666666667, "eval_recall": 0.8118294235315512, "eval_runtime": 5.0503, "eval_samples_per_second": 79.005, "eval_steps_per_second": 9.9, "step": 1586 }, { "epoch": 14.0, "grad_norm": 12.59556770324707, "learning_rate": 1.5e-05, "loss": 0.3048, "step": 1708 }, { "epoch": 14.0, "eval_accuracy": 0.8446115288220551, "eval_f1": 0.814390756302521, "eval_loss": 0.3533446788787842, "eval_precision": 0.8114780902550687, "eval_recall": 0.8175577377705037, "eval_runtime": 5.0649, "eval_samples_per_second": 78.778, "eval_steps_per_second": 9.872, "step": 1708 }, { "epoch": 15.0, "grad_norm": 1.0728732347488403, "learning_rate": 1.25e-05, "loss": 0.2916, "step": 1830 }, { "epoch": 15.0, "eval_accuracy": 0.8421052631578947, "eval_f1": 0.8118502107020158, "eval_loss": 0.35696789622306824, "eval_precision": 0.8083091673078061, "eval_recall": 0.8157846881251136, "eval_runtime": 5.0885, "eval_samples_per_second": 78.412, "eval_steps_per_second": 9.826, "step": 1830 }, { "epoch": 16.0, "grad_norm": 6.875555992126465, "learning_rate": 1e-05, "loss": 0.2832, "step": 1952 }, { "epoch": 16.0, "eval_accuracy": 0.8471177944862155, "eval_f1": 0.8186863532409097, "eval_loss": 0.35785549879074097, "eval_precision": 0.8138123167155425, "eval_recall": 0.8243316966721222, "eval_runtime": 5.0516, "eval_samples_per_second": 78.984, "eval_steps_per_second": 9.898, "step": 1952 }, { "epoch": 17.0, "grad_norm": 4.91969108581543, "learning_rate": 7.5e-06, "loss": 0.284, "step": 2074 }, { "epoch": 17.0, "eval_accuracy": 0.8471177944862155, "eval_f1": 0.8160386984618873, "eval_loss": 0.3496108949184418, "eval_precision": 0.8152632848784607, "eval_recall": 0.8168303327877796, "eval_runtime": 5.1173, "eval_samples_per_second": 77.97, "eval_steps_per_second": 9.771, "step": 2074 }, { "epoch": 18.0, "grad_norm": 3.59561824798584, "learning_rate": 5e-06, "loss": 0.2906, "step": 2196 }, { "epoch": 18.0, "eval_accuracy": 0.8446115288220551, "eval_f1": 0.8152777777777778, "eval_loss": 0.35370829701423645, "eval_precision": 0.8110639802050195, "eval_recall": 0.8200581923986179, "eval_runtime": 5.0865, "eval_samples_per_second": 78.443, "eval_steps_per_second": 9.83, "step": 2196 }, { "epoch": 19.0, "grad_norm": 4.449235916137695, "learning_rate": 2.5e-06, "loss": 0.2805, "step": 2318 }, { "epoch": 19.0, "eval_accuracy": 0.849624060150376, "eval_f1": 0.8186033824331697, "eval_loss": 0.3505256772041321, "eval_precision": 0.8186033824331697, "eval_recall": 0.8186033824331697, "eval_runtime": 5.0574, "eval_samples_per_second": 78.895, "eval_steps_per_second": 9.887, "step": 2318 }, { "epoch": 20.0, "grad_norm": 8.314062118530273, "learning_rate": 0.0, "loss": 0.2815, "step": 2440 }, { "epoch": 20.0, "eval_accuracy": 0.8471177944862155, "eval_f1": 0.8169408154516122, "eval_loss": 0.35131508111953735, "eval_precision": 0.814695340501792, "eval_recall": 0.8193307874158937, "eval_runtime": 5.0608, "eval_samples_per_second": 78.842, "eval_steps_per_second": 9.88, "step": 2440 }, { "epoch": 20.0, "step": 2440, "total_flos": 7597037114448000.0, "train_loss": 0.3560234429406338, "train_runtime": 1950.8369, "train_samples_per_second": 37.297, "train_steps_per_second": 1.251 } ], "logging_steps": 500, "max_steps": 2440, "num_input_tokens_seen": 0, "num_train_epochs": 20, "save_steps": 500, "total_flos": 7597037114448000.0, "train_batch_size": 30, "trial_name": null, "trial_params": null }