| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 31.0, | |
| "eval_steps": 500, | |
| "global_step": 2511, | |
| "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 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_B": { | |
| "f1-score": 0.8803126526624329, | |
| "precision": 0.897410358565737, | |
| "recall": 0.8638542665388304, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9590983771942466, | |
| "precision": 0.9592919333448654, | |
| "recall": 0.9589048991354466, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9220456265542221, | |
| "precision": 0.9197584124245038, | |
| "recall": 0.9243442445263386, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9437705927079184, | |
| "eval_loss": 0.2796257436275482, | |
| "eval_macro avg": { | |
| "f1-score": 0.9204855521369671, | |
| "precision": 0.9254869014450354, | |
| "recall": 0.9157011367335386, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.641, | |
| "eval_samples_per_second": 17.238, | |
| "eval_steps_per_second": 2.155, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9437458232244597, | |
| "precision": 0.9437490553802075, | |
| "recall": 0.9437705927079184, | |
| "support": 27619.0 | |
| }, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_B": { | |
| "f1-score": 0.8830917874396135, | |
| "precision": 0.8899707887049659, | |
| "recall": 0.8763183125599233, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9574634882843123, | |
| "precision": 0.9647182727751448, | |
| "recall": 0.9503170028818444, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9200619426496501, | |
| "precision": 0.9067466582465004, | |
| "recall": 0.9337741166269239, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9419964517180202, | |
| "eval_loss": 0.3198166787624359, | |
| "eval_macro avg": { | |
| "f1-score": 0.9202057394578587, | |
| "precision": 0.9204785732422037, | |
| "recall": 0.9201364773562305, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6345, | |
| "eval_samples_per_second": 17.262, | |
| "eval_steps_per_second": 2.158, | |
| "eval_weighted avg": { | |
| "f1-score": 0.942161111514465, | |
| "precision": 0.9425303680165918, | |
| "recall": 0.9419964517180202, | |
| "support": 27619.0 | |
| }, | |
| "step": 891 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_B": { | |
| "f1-score": 0.871306005719733, | |
| "precision": 0.8663507109004739, | |
| "recall": 0.8763183125599233, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9576855173984852, | |
| "precision": 0.9464205312922107, | |
| "recall": 0.9692219020172911, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9162135168127844, | |
| "precision": 0.9386084583901774, | |
| "recall": 0.8948623455451984, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9408740359897172, | |
| "eval_loss": 0.35264310240745544, | |
| "eval_macro avg": { | |
| "f1-score": 0.9150683466436677, | |
| "precision": 0.917126566860954, | |
| "recall": 0.9134675200408043, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6326, | |
| "eval_samples_per_second": 17.269, | |
| "eval_steps_per_second": 2.159, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9405699625961891, | |
| "precision": 0.9407871989028143, | |
| "recall": 0.9408740359897172, | |
| "support": 27619.0 | |
| }, | |
| "step": 972 | |
| }, | |
| { | |
| "epoch": 12.35, | |
| "grad_norm": 0.3602512776851654, | |
| "learning_rate": 1.506172839506173e-05, | |
| "loss": 0.021, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_B": { | |
| "f1-score": 0.877092300334768, | |
| "precision": 0.875, | |
| "recall": 0.8791946308724832, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9597242793665263, | |
| "precision": 0.9486991778353419, | |
| "recall": 0.9710086455331413, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9203392649259936, | |
| "precision": 0.9419040054464994, | |
| "recall": 0.8997398655972252, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.943734385748941, | |
| "eval_loss": 0.3594338297843933, | |
| "eval_macro avg": { | |
| "f1-score": 0.9190519482090961, | |
| "precision": 0.9218677277606138, | |
| "recall": 0.9166477140009498, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6042, | |
| "eval_samples_per_second": 17.376, | |
| "eval_steps_per_second": 2.172, | |
| "eval_weighted avg": { | |
| "f1-score": 0.943447393984779, | |
| "precision": 0.9436461164304495, | |
| "recall": 0.943734385748941, | |
| "support": 27619.0 | |
| }, | |
| "step": 1053 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_B": { | |
| "f1-score": 0.8754052802223252, | |
| "precision": 0.8467741935483871, | |
| "recall": 0.9060402684563759, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9574973153224439, | |
| "precision": 0.9392880904856953, | |
| "recall": 0.9764265129682997, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9130164471825015, | |
| "precision": 0.9539388213062477, | |
| "recall": 0.8754606546715803, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9400412759332344, | |
| "eval_loss": 0.3840242028236389, | |
| "eval_macro avg": { | |
| "f1-score": 0.9153063475757568, | |
| "precision": 0.9133337017801101, | |
| "recall": 0.9193091453654186, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6182, | |
| "eval_samples_per_second": 17.323, | |
| "eval_steps_per_second": 2.165, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9395385738014427, | |
| "precision": 0.9406884180878825, | |
| "recall": 0.9400412759332344, | |
| "support": 27619.0 | |
| }, | |
| "step": 1134 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_B": { | |
| "f1-score": 0.8797709923664121, | |
| "precision": 0.8755935422602089, | |
| "recall": 0.8839884947267498, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9603688219460511, | |
| "precision": 0.954302299112224, | |
| "recall": 0.9665129682997118, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.922722283205269, | |
| "precision": 0.9346230820547031, | |
| "recall": 0.9111207457186213, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9448930084362215, | |
| "eval_loss": 0.3762665390968323, | |
| "eval_macro avg": { | |
| "f1-score": 0.9209540325059108, | |
| "precision": 0.9215063078090453, | |
| "recall": 0.920540736248361, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.586, | |
| "eval_samples_per_second": 17.444, | |
| "eval_steps_per_second": 2.181, | |
| "eval_weighted avg": { | |
| "f1-score": 0.944749483712443, | |
| "precision": 0.9447562007752335, | |
| "recall": 0.9448930084362215, | |
| "support": 27619.0 | |
| }, | |
| "step": 1215 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_B": { | |
| "f1-score": 0.8858669256920835, | |
| "precision": 0.8976377952755905, | |
| "recall": 0.8744007670182167, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9586212929752427, | |
| "precision": 0.9701351590627397, | |
| "recall": 0.9473775216138328, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9235412474849094, | |
| "precision": 0.9027950310559006, | |
| "recall": 0.9452633860828095, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9439154205438285, | |
| "eval_loss": 0.36898088455200195, | |
| "eval_macro avg": { | |
| "f1-score": 0.9226764887174118, | |
| "precision": 0.923522661798077, | |
| "recall": 0.922347224904953, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6024, | |
| "eval_samples_per_second": 17.382, | |
| "eval_steps_per_second": 2.173, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9441554794131966, | |
| "precision": 0.9449027186622512, | |
| "recall": 0.9439154205438285, | |
| "support": 27619.0 | |
| }, | |
| "step": 1296 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_B": { | |
| "f1-score": 0.8863309352517986, | |
| "precision": 0.8867562380038387, | |
| "recall": 0.8859060402684564, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9630614486386496, | |
| "precision": 0.9659090909090909, | |
| "recall": 0.9602305475504322, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9296685529506872, | |
| "precision": 0.9245363918962375, | |
| "recall": 0.9348580099718188, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9489481878417032, | |
| "eval_loss": 0.3569599986076355, | |
| "eval_macro avg": { | |
| "f1-score": 0.9263536456137119, | |
| "precision": 0.9257339069363891, | |
| "recall": 0.9269981992635691, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6143, | |
| "eval_samples_per_second": 17.337, | |
| "eval_steps_per_second": 2.167, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9490090650954502, | |
| "precision": 0.9490996138580476, | |
| "recall": 0.9489481878417032, | |
| "support": 27619.0 | |
| }, | |
| "step": 1377 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_B": { | |
| "f1-score": 0.8778409090909091, | |
| "precision": 0.8671655753040225, | |
| "recall": 0.8887823585810163, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9557028055829692, | |
| "precision": 0.9355230471984544, | |
| "recall": 0.9767723342939482, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9098012570069645, | |
| "precision": 0.9524599881446354, | |
| "recall": 0.8707999132885325, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.938049893189471, | |
| "eval_loss": 0.4151785373687744, | |
| "eval_macro avg": { | |
| "f1-score": 0.9144483238936143, | |
| "precision": 0.9183828702157042, | |
| "recall": 0.9121182020544989, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6304, | |
| "eval_samples_per_second": 17.277, | |
| "eval_steps_per_second": 2.16, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9374292386470396, | |
| "precision": 0.9385993125948691, | |
| "recall": 0.938049893189471, | |
| "support": 27619.0 | |
| }, | |
| "step": 1458 | |
| }, | |
| { | |
| "epoch": 18.52, | |
| "grad_norm": 10.955327033996582, | |
| "learning_rate": 1.2592592592592593e-05, | |
| "loss": 0.0058, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_B": { | |
| "f1-score": 0.8850241545893719, | |
| "precision": 0.8919182083739046, | |
| "recall": 0.87823585810163, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9626489459211732, | |
| "precision": 0.956838628857761, | |
| "recall": 0.9685302593659942, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.927475898334794, | |
| "precision": 0.9375415282392027, | |
| "recall": 0.9176241057879905, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9481154277852203, | |
| "eval_loss": 0.3719603419303894, | |
| "eval_macro avg": { | |
| "f1-score": 0.9250496662817796, | |
| "precision": 0.9287661218236227, | |
| "recall": 0.9214634077518715, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6041, | |
| "eval_samples_per_second": 17.376, | |
| "eval_steps_per_second": 2.172, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9479681394332119, | |
| "precision": 0.9479408755404257, | |
| "recall": 0.9481154277852203, | |
| "support": 27619.0 | |
| }, | |
| "step": 1539 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_B": { | |
| "f1-score": 0.8742857142857142, | |
| "precision": 0.8684957426679281, | |
| "recall": 0.8801534036433365, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9602204921293401, | |
| "precision": 0.9469289396996189, | |
| "recall": 0.9738904899135447, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9205305394560855, | |
| "precision": 0.9473503097040605, | |
| "recall": 0.8951875135486668, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9440602483797386, | |
| "eval_loss": 0.36765894293785095, | |
| "eval_macro avg": { | |
| "f1-score": 0.9183455819570466, | |
| "precision": 0.9209249973572025, | |
| "recall": 0.9164104690351826, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6404, | |
| "eval_samples_per_second": 17.24, | |
| "eval_steps_per_second": 2.155, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9437170171065533, | |
| "precision": 0.9441077562808465, | |
| "recall": 0.9440602483797386, | |
| "support": 27619.0 | |
| }, | |
| "step": 1620 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "eval_B": { | |
| "f1-score": 0.8885767790262172, | |
| "precision": 0.868252516010979, | |
| "recall": 0.909875359539789, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9616143138880155, | |
| "precision": 0.9537903271531439, | |
| "recall": 0.9695677233429395, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9245376759591498, | |
| "precision": 0.9420632242096973, | |
| "recall": 0.9076522870149577, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9466309424671422, | |
| "eval_loss": 0.374899685382843, | |
| "eval_macro avg": { | |
| "f1-score": 0.9249095896244609, | |
| "precision": 0.9213686891246068, | |
| "recall": 0.9290317899658954, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.5979, | |
| "eval_samples_per_second": 17.399, | |
| "eval_steps_per_second": 2.175, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9464708542988716, | |
| "precision": 0.9466427045463329, | |
| "recall": 0.9466309424671422, | |
| "support": 27619.0 | |
| }, | |
| "step": 1701 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "eval_B": { | |
| "f1-score": 0.875898418782942, | |
| "precision": 0.8754789272030651, | |
| "recall": 0.8763183125599233, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9606979453806588, | |
| "precision": 0.9475306911822412, | |
| "recall": 0.9742363112391931, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9217236387930074, | |
| "precision": 0.94757326007326, | |
| "recall": 0.897246910903967, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9448205945182664, | |
| "eval_loss": 0.3899074196815491, | |
| "eval_macro avg": { | |
| "f1-score": 0.919440000985536, | |
| "precision": 0.9235276261528554, | |
| "recall": 0.9159338449010278, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.5958, | |
| "eval_samples_per_second": 17.407, | |
| "eval_steps_per_second": 2.176, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9444764001104068, | |
| "precision": 0.9448239585256736, | |
| "recall": 0.9448205945182664, | |
| "support": 27619.0 | |
| }, | |
| "step": 1782 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "eval_B": { | |
| "f1-score": 0.8766079085278704, | |
| "precision": 0.8712121212121212, | |
| "recall": 0.8820709491850431, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9571775605897973, | |
| "precision": 0.9385663638378019, | |
| "recall": 0.9765417867435159, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9132322264193494, | |
| "precision": 0.9515920573375631, | |
| "recall": 0.877845220030349, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9400050689742568, | |
| "eval_loss": 0.4506397247314453, | |
| "eval_macro avg": { | |
| "f1-score": 0.9156725651790056, | |
| "precision": 0.9204568474624955, | |
| "recall": 0.9121526519863027, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6193, | |
| "eval_samples_per_second": 17.319, | |
| "eval_steps_per_second": 2.165, | |
| "eval_weighted avg": { | |
| "f1-score": 0.939455202786939, | |
| "precision": 0.9403739808105457, | |
| "recall": 0.9400050689742568, | |
| "support": 27619.0 | |
| }, | |
| "step": 1863 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_B": { | |
| "f1-score": 0.8786853552440792, | |
| "precision": 0.8859649122807017, | |
| "recall": 0.8715244487056567, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9558590028580501, | |
| "precision": 0.9575452599919023, | |
| "recall": 0.954178674351585, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9160280626011873, | |
| "precision": 0.9121883061049011, | |
| "recall": 0.9199002818122697, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9396067924255042, | |
| "eval_loss": 0.42392534017562866, | |
| "eval_macro avg": { | |
| "f1-score": 0.9168574735677723, | |
| "precision": 0.9185661594591683, | |
| "recall": 0.9152011349565038, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6242, | |
| "eval_samples_per_second": 17.3, | |
| "eval_steps_per_second": 2.163, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9396392856607877, | |
| "precision": 0.9396908279261412, | |
| "recall": 0.9396067924255042, | |
| "support": 27619.0 | |
| }, | |
| "step": 1944 | |
| }, | |
| { | |
| "epoch": 24.69, | |
| "grad_norm": 0.030169092118740082, | |
| "learning_rate": 1.0123456790123458e-05, | |
| "loss": 0.0026, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_B": { | |
| "f1-score": 0.8887832699619772, | |
| "precision": 0.88124410933082, | |
| "recall": 0.8964525407478428, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9607269808508199, | |
| "precision": 0.9556860955857192, | |
| "recall": 0.9658213256484149, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9237260273972602, | |
| "precision": 0.9340647163120568, | |
| "recall": 0.9136137004118795, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9457619754516818, | |
| "eval_loss": 0.398232638835907, | |
| "eval_macro avg": { | |
| "f1-score": 0.9244120927366858, | |
| "precision": 0.9236649737428652, | |
| "recall": 0.9252958556027124, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.5953, | |
| "eval_samples_per_second": 17.409, | |
| "eval_steps_per_second": 2.176, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9456501103261954, | |
| "precision": 0.9456523566073828, | |
| "recall": 0.9457619754516818, | |
| "support": 27619.0 | |
| }, | |
| "step": 2025 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "eval_B": { | |
| "f1-score": 0.8827717133364974, | |
| "precision": 0.8740601503759399, | |
| "recall": 0.8916586768935763, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9590283123770422, | |
| "precision": 0.9489364103142809, | |
| "recall": 0.9693371757925072, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9188171447557869, | |
| "precision": 0.9393115942028986, | |
| "recall": 0.8991979189247779, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9429740396104132, | |
| "eval_loss": 0.4066696763038635, | |
| "eval_macro avg": { | |
| "f1-score": 0.9202057234897755, | |
| "precision": 0.9207693849643731, | |
| "recall": 0.9200645905369539, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6361, | |
| "eval_samples_per_second": 17.256, | |
| "eval_steps_per_second": 2.157, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9427162132687112, | |
| "precision": 0.942893668268613, | |
| "recall": 0.9429740396104132, | |
| "support": 27619.0 | |
| }, | |
| "step": 2106 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "eval_B": { | |
| "f1-score": 0.8731307284129282, | |
| "precision": 0.8786407766990292, | |
| "recall": 0.8676893576222435, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9568967963451661, | |
| "precision": 0.9424291543234028, | |
| "recall": 0.9718155619596541, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9140816781968311, | |
| "precision": 0.9418257070590941, | |
| "recall": 0.8879254281378712, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9398602411383468, | |
| "eval_loss": 0.44146138429641724, | |
| "eval_macro avg": { | |
| "f1-score": 0.9147030676516418, | |
| "precision": 0.920965212693842, | |
| "recall": 0.9091434492399229, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6584, | |
| "eval_samples_per_second": 17.173, | |
| "eval_steps_per_second": 2.147, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9394312730137688, | |
| "precision": 0.9398186802902107, | |
| "recall": 0.9398602411383468, | |
| "support": 27619.0 | |
| }, | |
| "step": 2187 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "eval_B": { | |
| "f1-score": 0.8846153846153846, | |
| "precision": 0.8871745419479267, | |
| "recall": 0.8820709491850431, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9619680394066098, | |
| "precision": 0.9559995446265938, | |
| "recall": 0.9680115273775216, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9258771929824562, | |
| "precision": 0.9367650321721767, | |
| "recall": 0.9152395404292217, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9471378398928274, | |
| "eval_loss": 0.4067588746547699, | |
| "eval_macro avg": { | |
| "f1-score": 0.9241535390014834, | |
| "precision": 0.9266463729155657, | |
| "recall": 0.9217740056639289, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6224, | |
| "eval_samples_per_second": 17.307, | |
| "eval_steps_per_second": 2.163, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9469909233612611, | |
| "precision": 0.9469752465094172, | |
| "recall": 0.9471378398928274, | |
| "support": 27619.0 | |
| }, | |
| "step": 2268 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "eval_B": { | |
| "f1-score": 0.8919301557338367, | |
| "precision": 0.8782527881040892, | |
| "recall": 0.9060402684563759, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.964135443798838, | |
| "precision": 0.9576391652925457, | |
| "recall": 0.9707204610951009, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9300406995930042, | |
| "precision": 0.944059848146494, | |
| "recall": 0.9164318231086062, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9501430174879612, | |
| "eval_loss": 0.4006032943725586, | |
| "eval_macro avg": { | |
| "f1-score": 0.9287020997085597, | |
| "precision": 0.9266506005143763, | |
| "recall": 0.9310641842200277, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.5962, | |
| "eval_samples_per_second": 17.406, | |
| "eval_steps_per_second": 2.176, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9500195009517102, | |
| "precision": 0.9501051209246456, | |
| "recall": 0.9501430174879612, | |
| "support": 27619.0 | |
| }, | |
| "step": 2349 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_B": { | |
| "f1-score": 0.8796956728483118, | |
| "precision": 0.8726415094339622, | |
| "recall": 0.8868648130393096, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9600954979536152, | |
| "precision": 0.947067399349557, | |
| "recall": 0.9734870317002882, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9212857222438862, | |
| "precision": 0.9477363896848138, | |
| "recall": 0.8962714068935617, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9444223179695137, | |
| "eval_loss": 0.46608424186706543, | |
| "eval_macro avg": { | |
| "f1-score": 0.9203589643486044, | |
| "precision": 0.922481766156111, | |
| "recall": 0.9188744172110531, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.5968, | |
| "eval_samples_per_second": 17.403, | |
| "eval_steps_per_second": 2.175, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9440950631702127, | |
| "precision": 0.9444802637418637, | |
| "recall": 0.9444223179695137, | |
| "support": 27619.0 | |
| }, | |
| "step": 2430 | |
| }, | |
| { | |
| "epoch": 30.86, | |
| "grad_norm": 0.0009192481520585716, | |
| "learning_rate": 7.654320987654322e-06, | |
| "loss": 0.0015, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "eval_B": { | |
| "f1-score": 0.8760724499523355, | |
| "precision": 0.8710900473933649, | |
| "recall": 0.8811121764141898, | |
| "support": 1043.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9596285601041844, | |
| "precision": 0.9430224794124193, | |
| "recall": 0.9768299711815562, | |
| "support": 17350.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9194073408912335, | |
| "precision": 0.953328677839851, | |
| "recall": 0.8878170388033817, | |
| "support": 9226.0 | |
| }, | |
| "eval_accuracy": 0.9434809370360984, | |
| "eval_loss": 0.48370352387428284, | |
| "eval_macro avg": { | |
| "f1-score": 0.9183694503159178, | |
| "precision": 0.9224804015485452, | |
| "recall": 0.9152530621330426, | |
| "support": 27619.0 | |
| }, | |
| "eval_runtime": 4.6119, | |
| "eval_samples_per_second": 17.347, | |
| "eval_steps_per_second": 2.168, | |
| "eval_weighted avg": { | |
| "f1-score": 0.943037445605214, | |
| "precision": 0.9437487714612122, | |
| "recall": 0.9434809370360984, | |
| "support": 27619.0 | |
| }, | |
| "step": 2511 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 4050, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 50, | |
| "save_steps": 500, | |
| "total_flos": 4457386234803600.0, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |