| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 9.0, | |
| "eval_steps": 500, | |
| "global_step": 729, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_B": { | |
| "f1-score": 0.8331822302810515, | |
| "precision": 0.7901977644024075, | |
| "recall": 0.8811121764141898, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9471294753175105, | |
| "precision": 0.9443616777446711, | |
| "recall": 0.9499135446685879, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.8992868897421833, | |
| "precision": 0.9103731674811195, | |
| "recall": 0.8884673748103187, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9267895289474637, | |
| "eval_loss": 0.20478281378746033, | |
| "eval_macro avg": { | |
| "f1-score": 0.8931995317802484, | |
| "precision": 0.8816442032093993, | |
| "recall": 0.9064976986310321, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6128, | |
| "eval_samples_per_second": 17.343, | |
| "eval_steps_per_second": 2.168, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9268447919078652, | |
| "precision": 0.9271861479533134, | |
| "recall": 0.9267895289474637, | |
| "support": 27619.0 | |
| }, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_B": { | |
| "f1-score": 0.8682547399124939, | |
| "precision": 0.8806706114398422, | |
| "recall": 0.8561840843720039, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9590983771942466, | |
| "precision": 0.9592919333448654, | |
| "recall": 0.9589048991354466, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9226525313717006, | |
| "precision": 0.9208594256100194, | |
| "recall": 0.9244526338608281, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9435171439950758, | |
| "eval_loss": 0.16574698686599731, | |
| "eval_macro avg": { | |
| "f1-score": 0.9166685494928136, | |
| "precision": 0.9202739901315756, | |
| "recall": 0.9131805391227594, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6238, | |
| "eval_samples_per_second": 17.302, | |
| "eval_steps_per_second": 2.163, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9434932036816766, | |
| "precision": 0.9434846863370583, | |
| "recall": 0.9435171439950758, | |
| "support": 27619.0 | |
| }, | |
| "step": 162 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_B": { | |
| "f1-score": 0.8791725434884815, | |
| "precision": 0.8625461254612546, | |
| "recall": 0.8964525407478428, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9588372159825352, | |
| "precision": 0.9557349825345015, | |
| "recall": 0.9619596541786744, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9204284621270084, | |
| "precision": 0.9282407407407407, | |
| "recall": 0.9127465857359636, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9430464535283681, | |
| "eval_loss": 0.15394224226474762, | |
| "eval_macro avg": { | |
| "f1-score": 0.9194794071993417, | |
| "precision": 0.9155072829121655, | |
| "recall": 0.9237195935541602, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6233, | |
| "eval_samples_per_second": 17.303, | |
| "eval_steps_per_second": 2.163, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9429985029052194, | |
| "precision": 0.9430314866542512, | |
| "recall": 0.9430464535283681, | |
| "support": 27619.0 | |
| }, | |
| "step": 243 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_B": { | |
| "f1-score": 0.8800746616892207, | |
| "precision": 0.8572727272727273, | |
| "recall": 0.9041227229146692, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9537844036697248, | |
| "precision": 0.9488876212207644, | |
| "recall": 0.9587319884726225, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9100192149327477, | |
| "precision": 0.9220157970853265, | |
| "recall": 0.8983308042488619, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9364929939534379, | |
| "eval_loss": 0.19801080226898193, | |
| "eval_macro avg": { | |
| "f1-score": 0.9146260934305644, | |
| "precision": 0.9093920485262728, | |
| "recall": 0.9203951718787179, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6132, | |
| "eval_samples_per_second": 17.342, | |
| "eval_steps_per_second": 2.168, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9363812792925563, | |
| "precision": 0.9364514800186444, | |
| "recall": 0.9364929939534379, | |
| "support": 27619.0 | |
| }, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_B": { | |
| "f1-score": 0.883877159309021, | |
| "precision": 0.8847262247838616, | |
| "recall": 0.8830297219558965, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9591500482927107, | |
| "precision": 0.9456643513331839, | |
| "recall": 0.9730259365994236, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9191176470588236, | |
| "precision": 0.9454503781801513, | |
| "recall": 0.8942120095382614, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9432999022412107, | |
| "eval_loss": 0.20074255764484406, | |
| "eval_macro avg": { | |
| "f1-score": 0.9207149515535183, | |
| "precision": 0.9252803180990656, | |
| "recall": 0.9167558893645271, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6092, | |
| "eval_samples_per_second": 17.356, | |
| "eval_steps_per_second": 2.17, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9429348139614955, | |
| "precision": 0.9432916158141273, | |
| "recall": 0.9432999022412107, | |
| "support": 27619.0 | |
| }, | |
| "step": 405 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_B": { | |
| "f1-score": 0.8897338403041826, | |
| "precision": 0.882186616399623, | |
| "recall": 0.8974113135186961, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9624160683661308, | |
| "precision": 0.9707969272268809, | |
| "recall": 0.954178674351585, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9297955261331482, | |
| "precision": 0.9161493950552341, | |
| "recall": 0.9438543247344461, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9485861182519281, | |
| "eval_loss": 0.16565027832984924, | |
| "eval_macro avg": { | |
| "f1-score": 0.9273151449344872, | |
| "precision": 0.9230443128939126, | |
| "recall": 0.9318147708682424, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6219, | |
| "eval_samples_per_second": 17.309, | |
| "eval_steps_per_second": 2.164, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9487745648174827, | |
| "precision": 0.9491959030765336, | |
| "recall": 0.9485861182519281, | |
| "support": 27619.0 | |
| }, | |
| "step": 486 | |
| }, | |
| { | |
| "epoch": 6.17, | |
| "grad_norm": 4.767655849456787, | |
| "learning_rate": 1.7530864197530865e-05, | |
| "loss": 0.1585, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_B": { | |
| "f1-score": 0.8802588996763754, | |
| "precision": 0.85, | |
| "recall": 0.912751677852349, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.958423523458803, | |
| "precision": 0.9354661691269275, | |
| "recall": 0.9825360230547551, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9139526911210146, | |
| "precision": 0.9664088931851136, | |
| "recall": 0.8668978972469109, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9412723125384699, | |
| "eval_loss": 0.2591131329536438, | |
| "eval_macro avg": { | |
| "f1-score": 0.9175450380853977, | |
| "precision": 0.917291687437347, | |
| "recall": 0.9207285327180049, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.617, | |
| "eval_samples_per_second": 17.327, | |
| "eval_steps_per_second": 2.166, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9406164485555297, | |
| "precision": 0.9425749115781907, | |
| "recall": 0.9412723125384699, | |
| "support": 27619.0 | |
| }, | |
| "step": 567 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_B": { | |
| "f1-score": 0.8687910028116214, | |
| "precision": 0.84967919340055, | |
| "recall": 0.8887823585810163, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9595010203788336, | |
| "precision": 0.956997878562009, | |
| "recall": 0.9620172910662824, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9212035166275324, | |
| "precision": 0.9282491471332673, | |
| "recall": 0.9142640364188164, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9432999022412107, | |
| "eval_loss": 0.2693409323692322, | |
| "eval_macro avg": { | |
| "f1-score": 0.9164985132726624, | |
| "precision": 0.9116420730319422, | |
| "recall": 0.9216878953553717, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6153, | |
| "eval_samples_per_second": 17.333, | |
| "eval_steps_per_second": 2.167, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9432823550422136, | |
| "precision": 0.9433417293609165, | |
| "recall": 0.9432999022412107, | |
| "support": 27619.0 | |
| }, | |
| "step": 648 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_B": { | |
| "f1-score": 0.8645343367826904, | |
| "precision": 0.8485687903970452, | |
| "recall": 0.8811121764141898, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9567003348057282, | |
| "precision": 0.934535260814599, | |
| "recall": 0.9799423631123919, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9104673003585861, | |
| "precision": 0.9586479683567062, | |
| "recall": 0.8668978972469109, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9384481697382236, | |
| "eval_loss": 0.3087053894996643, | |
| "eval_macro avg": { | |
| "f1-score": 0.910567323982335, | |
| "precision": 0.9139173398561168, | |
| "recall": 0.9093174789244975, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6156, | |
| "eval_samples_per_second": 17.333, | |
| "eval_steps_per_second": 2.167, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9377758584761231, | |
| "precision": 0.9393435743356523, | |
| "recall": 0.9384481697382236, | |
| "support": 27619.0 | |
| }, | |
| "step": 729 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 4050, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 50, | |
| "save_steps": 500, | |
| "total_flos": 1294079874620400.0, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |