{ "best_metric": null, "best_model_checkpoint": null, "epoch": 12.0, "eval_steps": 500, "global_step": 492, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "eval_B": { "f1-score": 0.668295065950171, "precision": 0.7871116225546605, "recall": 0.5806451612903226, "support": 1178.0 }, "eval_I": { "f1-score": 0.9265394121049587, "precision": 0.9208257120459891, "recall": 0.9323244616117254, "support": 18899.0 }, "eval_O": { "f1-score": 0.8679097538295895, "precision": 0.8648200526675119, "recall": 0.8710216110019646, "support": 10180.0 }, "eval_accuracy": 0.8980070727434973, "eval_loss": 0.28059592843055725, "eval_macro avg": { "f1-score": 0.820914743961573, "precision": 0.8575857957560539, "recall": 0.7946637446346708, "support": 30257.0 }, "eval_runtime": 1.3597, "eval_samples_per_second": 59.57, "eval_steps_per_second": 8.09, "eval_weighted avg": { "f1-score": 0.896759137754772, "precision": 0.8967766387772022, "recall": 0.8980070727434973, "support": 30257.0 }, "step": 41 }, { "epoch": 2.0, "eval_B": { "f1-score": 0.8330464716006883, "precision": 0.8446771378708552, "recall": 0.8217317487266553, "support": 1178.0 }, "eval_I": { "f1-score": 0.9456807848767648, "precision": 0.950406156477127, "recall": 0.9410021694269538, "support": 18899.0 }, "eval_O": { "f1-score": 0.8991690558336167, "precision": 0.8897009327819982, "recall": 0.9088408644400786, "support": 10180.0 }, "eval_accuracy": 0.9255378920580362, "eval_loss": 0.19417612254619598, "eval_macro avg": { "f1-score": 0.89263210410369, "precision": 0.8949280757099934, "recall": 0.8905249275312292, "support": 30257.0 }, "eval_runtime": 1.3644, "eval_samples_per_second": 59.368, "eval_steps_per_second": 8.062, "eval_weighted avg": { "f1-score": 0.925646656486691, "precision": 0.9258654564363231, "recall": 0.9255378920580362, "support": 30257.0 }, "step": 82 }, { "epoch": 3.0, "eval_B": { "f1-score": 0.8500201045436268, "precision": 0.8074866310160428, "recall": 0.8972835314091681, "support": 1178.0 }, "eval_I": { "f1-score": 0.9522313010685104, "precision": 0.942701581540057, "recall": 0.9619556590295782, "support": 18899.0 }, "eval_O": { "f1-score": 0.907826437534647, "precision": 0.9321121804822519, "recall": 0.8847740667976425, "support": 10180.0 }, "eval_accuracy": 0.9334699408401361, "eval_loss": 0.18320441246032715, "eval_macro avg": { "f1-score": 0.9033592810489282, "precision": 0.894100131012784, "recall": 0.9146710857454629, "support": 30257.0 }, "eval_runtime": 1.3637, "eval_samples_per_second": 59.395, "eval_steps_per_second": 8.066, "eval_weighted avg": { "f1-score": 0.9333118344895024, "precision": 0.9338744237092824, "recall": 0.9334699408401361, "support": 30257.0 }, "step": 123 }, { "epoch": 4.0, "eval_B": { "f1-score": 0.8664440734557596, "precision": 0.8522167487684729, "recall": 0.8811544991511036, "support": 1178.0 }, "eval_I": { "f1-score": 0.9518863198966544, "precision": 0.9485603194619588, "recall": 0.9552357267580295, "support": 18899.0 }, "eval_O": { "f1-score": 0.9081091791747165, "precision": 0.9159588288198262, "recall": 0.9003929273084479, "support": 10180.0 }, "eval_accuracy": 0.9338995934825, "eval_loss": 0.17474766075611115, "eval_macro avg": { "f1-score": 0.9088131908423769, "precision": 0.905578632350086, "recall": 0.912261051072527, "support": 30257.0 }, "eval_runtime": 1.3717, "eval_samples_per_second": 59.053, "eval_steps_per_second": 8.02, "eval_weighted avg": { "f1-score": 0.9338309192007261, "precision": 0.9338405554069026, "recall": 0.9338995934825, "support": 30257.0 }, "step": 164 }, { "epoch": 5.0, "eval_B": { "f1-score": 0.8666666666666667, "precision": 0.8224085365853658, "recall": 0.9159592529711376, "support": 1178.0 }, "eval_I": { "f1-score": 0.9542531309396725, "precision": 0.9393582120155833, "recall": 0.9696280226467009, "support": 18899.0 }, "eval_O": { "f1-score": 0.9089055411123006, "precision": 0.9446858111688037, "recall": 0.8757367387033399, "support": 10180.0 }, "eval_accuracy": 0.9359487060845424, "eval_loss": 0.18612883985042572, "eval_macro avg": { "f1-score": 0.9099417795728799, "precision": 0.9021508532565843, "recall": 0.9204413381070594, "support": 30257.0 }, "eval_runtime": 1.3578, "eval_samples_per_second": 59.654, "eval_steps_per_second": 8.101, "eval_weighted avg": { "f1-score": 0.9355858698312928, "precision": 0.9365974704259672, "recall": 0.9359487060845424, "support": 30257.0 }, "step": 205 }, { "epoch": 6.0, "eval_B": { "f1-score": 0.8542262147815436, "precision": 0.8229740361919748, "recall": 0.8879456706281834, "support": 1178.0 }, "eval_I": { "f1-score": 0.9509714713911042, "precision": 0.962094547029837, "recall": 0.9401026509339119, "support": 18899.0 }, "eval_O": { "f1-score": 0.9120247354944683, "precision": 0.897328643407168, "recall": 0.9272102161100196, "support": 10180.0 }, "eval_accuracy": 0.9337343424662061, "eval_loss": 0.19629183411598206, "eval_macro avg": { "f1-score": 0.9057408072223719, "precision": 0.8941324088763266, "recall": 0.9184195125573716, "support": 30257.0 }, "eval_runtime": 1.3603, "eval_samples_per_second": 59.544, "eval_steps_per_second": 8.086, "eval_weighted avg": { "f1-score": 0.9341012038922174, "precision": 0.9348875912627161, "recall": 0.9337343424662061, "support": 30257.0 }, "step": 246 }, { "epoch": 7.0, "eval_B": { "f1-score": 0.8589743589743589, "precision": 0.8133535660091047, "recall": 0.9100169779286927, "support": 1178.0 }, "eval_I": { "f1-score": 0.9495904221802143, "precision": 0.9424149252175725, "recall": 0.9568760251865178, "support": 18899.0 }, "eval_O": { "f1-score": 0.9019568489713999, "precision": 0.9218461538461539, "recall": 0.8829076620825147, "support": 10180.0 }, "eval_accuracy": 0.9301649205142611, "eval_loss": 0.23149603605270386, "eval_macro avg": { "f1-score": 0.9035072100419911, "precision": 0.8925382150242771, "recall": 0.9166002217325749, "support": 30257.0 }, "eval_runtime": 1.3656, "eval_samples_per_second": 59.314, "eval_steps_per_second": 8.055, "eval_weighted avg": { "f1-score": 0.9300360877213377, "precision": 0.9304697762038363, "recall": 0.9301649205142611, "support": 30257.0 }, "step": 287 }, { "epoch": 8.0, "eval_B": { "f1-score": 0.87409200968523, "precision": 0.833076923076923, "recall": 0.9193548387096774, "support": 1178.0 }, "eval_I": { "f1-score": 0.952083279518508, "precision": 0.9300999293428889, "recall": 0.9751309593100164, "support": 18899.0 }, "eval_O": { "f1-score": 0.9016198312891373, "precision": 0.9527507382697146, "recall": 0.8556974459724951, "support": 10180.0 }, "eval_accuracy": 0.9327758865717024, "eval_loss": 0.2542731761932373, "eval_macro avg": { "f1-score": 0.9092650401642918, "precision": 0.9053091968965088, "recall": 0.9167277479973963, "support": 30257.0 }, "eval_runtime": 1.3569, "eval_samples_per_second": 59.697, "eval_steps_per_second": 8.107, "eval_weighted avg": { "f1-score": 0.932068353424097, "precision": 0.9339434079922521, "recall": 0.9327758865717024, "support": 30257.0 }, "step": 328 }, { "epoch": 9.0, "eval_B": { "f1-score": 0.8768793173506705, "precision": 0.8409976617303195, "recall": 0.9159592529711376, "support": 1178.0 }, "eval_I": { "f1-score": 0.9543993519220215, "precision": 0.9428438661710037, "recall": 0.9662416000846605, "support": 18899.0 }, "eval_O": { "f1-score": 0.9107449711917517, "precision": 0.9379554445138455, "recall": 0.8850687622789783, "support": 10180.0 }, "eval_accuracy": 0.9369732623855637, "eval_loss": 0.23665204644203186, "eval_macro avg": { "f1-score": 0.9140078801548146, "precision": 0.9072656574717229, "recall": 0.9224232051115923, "support": 30257.0 }, "eval_runtime": 1.3607, "eval_samples_per_second": 59.526, "eval_steps_per_second": 8.084, "eval_weighted avg": { "f1-score": 0.9366936905359226, "precision": 0.9372339589990767, "recall": 0.9369732623855637, "support": 30257.0 }, "step": 369 }, { "epoch": 10.0, "eval_B": { "f1-score": 0.8608903020667728, "precision": 0.8094170403587444, "recall": 0.9193548387096774, "support": 1178.0 }, "eval_I": { "f1-score": 0.9494098249103614, "precision": 0.9393060590367686, "recall": 0.9597333192232393, "support": 18899.0 }, "eval_O": { "f1-score": 0.9020162716660771, "precision": 0.9288167343115828, "recall": 0.8767190569744597, "support": 10180.0 }, "eval_accuracy": 0.9302310209207787, "eval_loss": 0.27300411462783813, "eval_macro avg": { "f1-score": 0.9041054662144038, "precision": 0.8925132779023652, "recall": 0.9186024049691256, "support": 30257.0 }, "eval_runtime": 1.3606, "eval_samples_per_second": 59.531, "eval_steps_per_second": 8.084, "eval_weighted avg": { "f1-score": 0.9300178703234373, "precision": 0.9307199272423042, "recall": 0.9302310209207787, "support": 30257.0 }, "step": 410 }, { "epoch": 11.0, "eval_B": { "f1-score": 0.8705882352941178, "precision": 0.8337218337218337, "recall": 0.9108658743633277, "support": 1178.0 }, "eval_I": { "f1-score": 0.9516225883090098, "precision": 0.9392393320964749, "recall": 0.9643367373935129, "support": 18899.0 }, "eval_O": { "f1-score": 0.9045882710422363, "precision": 0.9336190675308383, "recall": 0.8773084479371316, "support": 10180.0 }, "eval_accuracy": 0.932974187791255, "eval_loss": 0.2785099744796753, "eval_macro avg": { "f1-score": 0.9089330315484546, "precision": 0.9021934111163823, "recall": 0.9175036865646574, "support": 30257.0 }, "eval_runtime": 1.357, "eval_samples_per_second": 59.689, "eval_steps_per_second": 8.106, "eval_weighted avg": { "f1-score": 0.9326429202114688, "precision": 0.9332402605968713, "recall": 0.932974187791255, "support": 30257.0 }, "step": 451 }, { "epoch": 12.0, "eval_B": { "f1-score": 0.871941272430669, "precision": 0.8390894819466248, "recall": 0.9074702886247877, "support": 1178.0 }, "eval_I": { "f1-score": 0.9533659666298226, "precision": 0.9483742604324834, "recall": 0.9584104979099424, "support": 18899.0 }, "eval_O": { "f1-score": 0.9108851674641149, "precision": 0.924524484014569, "recall": 0.8976424361493124, "support": 10180.0 }, "eval_accuracy": 0.9359817562878012, "eval_loss": 0.2702731788158417, "eval_macro avg": { "f1-score": 0.9120641355082021, "precision": 0.903996075464559, "recall": 0.9211744075613475, "support": 30257.0 }, "eval_runtime": 1.3674, "eval_samples_per_second": 59.235, "eval_steps_per_second": 8.044, "eval_weighted avg": { "f1-score": 0.9359031373581331, "precision": 0.9360951781377842, "recall": 0.9359817562878012, "support": 30257.0 }, "step": 492 } ], "logging_steps": 500, "max_steps": 656, "num_input_tokens_seen": 0, "num_train_epochs": 16, "save_steps": 500, "total_flos": 1720081324029600.0, "train_batch_size": 8, "trial_name": null, "trial_params": null }